Greenhouse Gas Emissions Standards for Heavy-Duty Vehicles-Phase 3, 25926-26161 [2023-07955]
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
40 CFR Parts 1036, 1037, 1054, 1065,
and 1074
[EPA–HQ–OAR–2022–0985; FRL–8952–01–
OAR]
RIN 2060–AV50
Greenhouse Gas Emissions Standards
for Heavy-Duty Vehicles—Phase 3
Environmental Protection
Agency (EPA).
ACTION: Notice of proposed rulemaking.
AGENCY:
The Environmental Protection
Agency (EPA) is proposing to
promulgate new GHG standards for
heavy-duty highway vehicles starting in
model year (MY) 2028 through MY 2032
and to revise certain GHG standards for
MY 2027 that were established
previously under EPA’s Greenhouse Gas
Emissions and Fuel Efficiency
Standards for Medium- and Heavy-Duty
Engines and Vehicles—Phase 2 rule
(‘‘HD GHG Phase 2’’). This document
proposes updates to discrete elements of
the Averaging Banking and Trading
program, including a proposal to
eliminate the last MY year of the HD
GHG Phase 2 advanced technology
incentive program for certain types of
electric highway heavy-duty vehicles.
EPA is proposing to add warranty
requirements for batteries and other
components of zero-emission vehicles
and to require customer-facing battery
state-of-health monitors for plug-in
hybrid and battery electric vehicles. In
this document, we are also proposing
additional revisions and clarifying and
editorial amendments to certain
highway heavy-duty vehicle provisions
and certain test procedures for heavyduty engines. Finally, as part of this
action, EPA is proposing to revise its
regulations addressing preemption of
state regulation of new locomotives and
new engines used in locomotives.
DATES: Comments must be received on
or before June 16, 2023. Comments on
the information collection provisions
submitted to the Office of Management
and Budget (OMB) under the Paperwork
Reduction Act (PRA) are best assured of
consideration by OMB if OMB receives
a copy of your comments on or before
May 30, 2023. Public hearing: EPA will
announce information regarding the
public hearing for this proposal in a
supplemental Federal Register
document. Please refer to the
SUPPLEMENTARY INFORMATION section for
additional information on the public
hearing.
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SUMMARY:
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You may send comments,
identified by Docket ID No. EPA–HQ–
OAR–2022–0985, by any of the
following methods:
• Federal eRulemaking Portal:
https://www.regulations.gov/ (our
preferred method). Follow the online
instructions for submitting comments.
• Email: a-and-r-Docket@epa.gov.
Include Docket ID No. EPA–HQ–OAR–
2022–0985 in the subject line of the
message.
• Mail: U.S. Environmental
Protection Agency, EPA Docket Center,
OAR Docket, Mail Code 28221T, 1200
Pennsylvania Avenue NW, Washington,
DC 20460.
• Hand Delivery or Courier: EPA
Docket Center, WJC West Building,
Room 3334, 1301 Constitution Avenue
NW, Washington, DC 20004. The Docket
Center’s hours of operations are 8:30
a.m.–4:30 p.m., Monday–Friday (except
Federal Holidays).
Instructions: All submissions received
must include the Docket ID No. for this
rulemaking. Comments received may be
posted without change to https://
www.regulations.gov/, including any
personal information provided. For
detailed instructions on sending
comments and additional information
on the rulemaking process, see the
‘‘Public Participation’’ heading of the
SUPPLEMENTARY INFORMATION section of
this document.
FOR FURTHER INFORMATION CONTACT:
Brian Nelson, Assessment and
Standards Division, Office of
Transportation and Air Quality,
Environmental Protection Agency, 2000
Traverwood Drive, Ann Arbor, MI
48105; telephone number: (734) 214–
4278; email address: nelson.brian@
epa.gov.
SUPPLEMENTARY INFORMATION:
ADDRESSES:
ENVIRONMENTAL PROTECTION
AGENCY
Public Participation
Written Comments
Submit your comments, identified by
Docket ID No. EPA–HQ–OAR–2022–
0985, at https://www.regulations.gov
(our preferred method), or the other
methods identified in the ADDRESSES
section. Once submitted, comments
cannot be edited or removed from the
docket. The EPA may publish any
comment received to its public docket.
Do not submit to EPA’s docket at
https://www.regulations.gov any
information you consider to be
Confidential Business Information (CBI),
Proprietary Business Information (PBI),
or other information whose disclosure is
restricted by statute. If you choose to
submit CBI or PBI as a comment to
EPA’s docket, please send those
materials to the person listed in the FOR
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section.
Multimedia submissions (audio, video,
etc.) must be accompanied by a written
comment. The written comment is
considered the official comment and
should include discussion of all points
you wish to make. The EPA will
generally not consider comments or
comment contents located outside of the
primary submission (i.e., on the web,
cloud, or other file sharing system).
Commenters who would like EPA to
further consider in this rulemaking any
relevant comments that they provided
on the HD2027 NPRM regarding
proposed HD vehicle GHG standards for
the MYs at issue in this proposal must
resubmit those comments to EPA during
this proposal’s comment period. Please
visit https://www.epa.gov/dockets/
commenting-epa-dockets for additional
submission methods; the full EPA
public comment policy; information
about CBI, PBI, or multimedia
submissions; and general guidance on
making effective comments.
FURTHER INFORMATION CONTACT
Participation in Virtual Public Hearing
EPA will announce information
regarding the public hearing for this
proposal in a supplemental Federal
Register document. The hearing notice,
registration information, and any
updates to the hearing schedule will
also be available at https://
www.epa.gov/regulations-emissionsvehicles-and-engines/proposed-rulegreenhouse-gas-emissions-standardsheavy. Please refer to this website for
any updates regarding the hearings. EPA
does not intend to publish additional
documents in the Federal Register
announcing updates to the hearing
schedule.
Docket: All documents in the docket
are listed on the www.regulations.gov
website. Although listed in the index,
some information is not publicly
available, e.g., CBI or other information
whose disclosure is restricted by statute.
Certain other material, such as
copyrighted material, is not placed on
the internet and will be publicly
available only in hard copy form
through the EPA Docket Center at the
location listed in the ADDRESSES section
of this document.
General Information
Does this action apply to me?
This action relates to companies that
manufacture, sell, or import into the
United States new heavy-duty highway
vehicles and engines. This action also
relates to state and local governments.
Potentially affected categories and
entities include the following:
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
Category
NAICS codes a
Industry .....................................................................................
Industry .....................................................................................
Industry .....................................................................................
Industry .....................................................................................
Industry .....................................................................................
Industry .....................................................................................
Government ..............................................................................
336110
336120
336211
336213
333618
811198
............................
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NAICS title
Automobile and Light Duty Motor Vehicle Manufacturing.
Heavy Duty Truck Manufacturing.
Motor Vehicle Body Manufacturing.
Motor Home Manufacturing.
Other Engine Equipment Manufacturing.
All Other Automotive Repair and Maintenance.
State and local governments.b
a NAICS
Association. NAICS & SIC Identification Tools. Available online: https://www.naics.com/search.
should be noted that the proposed revisions do not impose any requirements that state and local governments must meet, but rather implement the Clean Air Act preemption provisions for locomotives.
b It
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This table is not intended to be
exhaustive, but rather provides a guide
for readers regarding entities potentially
affected by this action. This table lists
the types of entities that EPA is now
aware could potentially be affected by
this action. Other types of entities not
listed in the table could also be affected.
To determine whether your entity is
regulated by this action, you should
carefully examine the applicability
criteria found in 40 CFR parts 1036,
1037, 1054, 1065, and 1074.1 If you have
questions regarding the applicability of
this action to a particular entity, consult
the person listed in the FOR FURTHER
INFORMATION CONTACT section.
What action is the Agency taking?
The Environmental Protection Agency
(EPA) is proposing to promulgate new
GHG standards for heavy-duty highway
vehicles starting in model year (MY)
2028 through MY 2032 and to revise
certain GHG standards for MY 2027 that
were established previously under
EPA’s Greenhouse Gas Emissions and
Fuel Efficiency Standards for Mediumand Heavy-Duty Engines and Vehicles—
Phase 2 rule (‘‘HD GHG Phase 2’’) that
we believe are appropriate and feasible
considering lead time, costs, and other
factors. EPA also proposes that it is
appropriate to eliminate the last model
year (MY 2027) of advanced technology
incentives for certain electric highway
heavy-duty vehicles, initially
established under the HD GHG Phase 2
rule. EPA is proposing to add warranty
requirements for batteries and other
components of zero-emission vehicles
and to require customer-facing battery
state-of-health monitors for plug-in
hybrid and battery electric vehicles. We
are also proposing revisions and
clarifying and editorial amendments to
certain highway heavy-duty vehicle
provisions of 40 CFR part 1037 and
certain test procedures for heavy-duty
engines in 40 CFR parts 1036 and 1065.
In addition, in this action EPA is
proposing to revise its regulations
addressing preemption of state
1 See 40 CFR 1036.1 through 1036.15 and 40 CFR
1037.1 through 1037.15.
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regulation of new locomotives and new
engines used in locomotives, to more
closely align with language in the Clean
Air Act.
What is the Agency’s authority for
taking this action?
Clean Air Act section 202(a), 42
U.S.C. 7521(a), requires that EPA
establish emission standards for air
pollutants from new motor vehicles or
new motor vehicle engines, which, in
the Administrator’s judgment, cause or
contribute to air pollution that may
reasonably be anticipated to endanger
public health or welfare. The
Administrator has found that GHG
emissions from highway heavy-duty
vehicles and engines cause or contribute
to air pollution that may endanger
public health or welfare. Therefore, the
Administrator is exercising his authority
under CAA section 202(a)(1)–(2) to
establish standards for GHG emissions
from highway heavy-duty vehicles. In
addition, section 209(e)(2)(B) of the
CAA, 42 U.S.C. 7543(e)(2)(B), requires
EPA to promulgate regulations
implementing subsection 209(e) of the
Act, which addresses the prohibition of
state standards regarding certain classes
of new nonroad engines or new nonroad
vehicles including new locomotives and
new engines used in locomotives, as
well as EPA’s authorization criteria for
certain California standards for other
nonroad engines or nonroad vehicles.
See Section I.D of this preamble for
more information on the agency’s
authority for this action.
Did EPA conduct a peer review before
issuing this action?
This proposed regulatory action is
supported by influential scientific
information. EPA, therefore, is
conducting peer review in accordance
with OMB’s Final Information Quality
Bulletin for Peer Review. Specifically,
we conducted the peer review process
on two analyses: (1) Emission
Adjustments for Onroad Vehicles in
MOVES3.R1, and (2) Greenhouse Gas
and Energy Consumption Rates for
Onroad Vehicles in MOVES3.R1. In
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addition, we plan to conduct a peer
review of inputs to the Heavy-Duty
Technology Resource Use Case Scenario
(HD TRUCS) tool used to analyze HD
vehicle energy usage and associated
component costs. All peer review were
or will be in the form of letter reviews
conducted by a contractor. The peer
review reports for each analysis will be
posted in the docket for this action and
will be posted at EPA’s Science
Inventory (https://cfpub.epa.gov/si/).
Table of Contents
Executive Summary
A. Need for Regulatory Action
B. The Opportunity for Clean Air Provided
by Zero-Emission Vehicle Technologies
C. Summary of the Major Provisions in the
Regulatory Action
D. Impacts of the Proposed Standards
I. Introduction
A. Brief Overview of the Heavy-Duty
Industry
B. History of Greenhouse Gas Emission
Standards for Heavy-Duty Engines and
Vehicles
C. What has changed since we finalized the
HD GHG Phase 2 rule?
D. EPA Statutory Authority for the
Proposal
E. Coordination With Federal and State
Partners
F. Stakeholder Engagement
II. Proposed CO2 Emission Standards
A. Public Health and Welfare Need for
GHG Emission Reductions
B. Summary of Comments Received From
HD2027 NPRM
C. Background on the CO2 Emission
Standards in the HD GHG Phase 2
Program
D. Vehicle Technologies
E. Technology, Charging Infrastructure,
and Operating Costs
F. Proposed Standards
G. EPA’s Basis That the Proposed
Standards Are Feasible and Appropriate
Under the Clean Air Act
H. Potential Alternatives
I. Small Businesses
III. Compliance Provisions, Flexibilities, and
Test Procedures
A. Proposed Revisions to the ABT Program
B. Battery Durability Monitoring and
Warranty Requirements
C. Additional Proposed Revisions to the
Regulations
IV. Proposed Program Costs
A. IRA Tax Credits
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B. Technology Package Costs
C. Manufacturer Costs
D. Purchaser Costs
E. Social Costs
V. Estimated Emission Impacts From the
Proposed Program
A. Model Inputs
B. Estimated Emission Impacts From the
Proposed Standards
VI. Climate, Health, Air Quality,
Environmental Justice, and Economic
Impacts
A. Climate Change Impacts
B. Health and Environmental Effects
Associated With Exposure to Non-GHG
Pollutants
C. Air Quality Impacts of Non-GHG
Pollutants
D. Environmental Justice
E. Economic Impacts
F. Oil Imports and Electricity and
Hydrogen Consumption
VII. Benefits of the Proposed Program
A. Social Cost of GHGs
B. Criteria Pollutant Health Benefits
C. Energy Security
VIII. Comparison of Benefits and Costs
A. Methods
B. Results
IX. Analysis of Alternative CO2 Emission
Standards
A. Comparison of Proposal and Alternative
B. Emission Inventory Comparison of
Proposal and Slower Phase-In
Alternative
C. Program Costs Comparison of Proposal
and Alternative
D. Benefits
E. How do the proposal and alternative
compare in overall benefits and costs?
X. Preemption of State Standards and
Requirements for New Locomotives or
New Engines Used in Locomotives
A. Overview
B. Background
C. Evaluation of Impact of Regulatory
Preemption
D. What is EPA proposing?
XI. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory
Planning and Review and Executive
Order 13563: Improving Regulation and
Regulatory Review
B. Paperwork Reduction Act (PRA)
C. Regulatory Flexibility Act (RFA)
D. Unfunded Mandates Reform Act
(UMRA)
E. Executive Order 13132: Federalism
F. Executive Order 13175: Consultation
and Coordination With Indian Tribal
Governments
G. Executive Order 13045: Protection of
Children From Environmental Health
and Safety Risks
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
I. National Technology Transfer and
Advancement Act (NTTAA) and 1 CFR
Part 51
J. Executive Order 12898: Federal Actions
To Address Environmental Justice in
Minority Populations and Low-Income
Populations.
XII. Statutory Authority and Legal Provisions
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List of Subjects
Executive Summary
A. Need for Regulatory Action
The Environmental Protection Agency
(EPA) is proposing this action to further
reduce GHG air pollution from highway
heavy-duty (hereafter referred to as
‘‘heavy-duty’’ or HD) engines and
vehicles across the United States.
Despite the significant emissions
reductions achieved by previous
rulemakings, GHG emissions from HD
vehicles continue to impact public
health, welfare, and the environment.
The transportation sector is the largest
U.S. source of GHG emissions,
representing 27 percent of total GHG
emissions.2 Within the transportation
sector, heavy-duty vehicles are the
second largest contributor to GHG
emissions and are responsible for 25
percent of GHG emissions in the sector.3
GHG emissions have significant impacts
on public health and welfare as
evidenced by the well-documented
scientific record and as set forth in
EPA’s Endangerment and Cause or
Contribute Findings under Section
202(a) of the CAA.4 Additionally, major
scientific assessments continue to be
released that further advance our
understanding of the climate system and
the impacts that GHGs have on public
health and welfare both for current and
future generations, as discussed in
Section II.A.
The potential for the application of
zero-emission vehicle (ZEV)
technologies in the heavy-duty sector
presents an opportunity for significant
reductions in heavy-duty GHG
emissions over the long term.5 Major
trucking fleets, HD vehicle and engine
manufacturers, and U.S. states have
2 Inventory of U.S. Greenhouse Gas Emissions
and Sinks: 1990–2020 (EPA–430–R–22–003,
published April 2022).
3 Ibid.
4 74 FR 66496, December 15, 2009; see also 81 FR
54422, August 15, 2016 (making a similar
endangerment and cause or contribute findings for
GHGs from aircraft under section 231(a)(2)(A)).
Recently, in April 2022, EPA denied administrative
petitions relating to the 2009 finding, determining
that ‘‘[t]he science supporting the Administrator’s
[2009] finding that elevated concentrations of
greenhouse gases in the atmosphere may reasonably
be anticipated to endanger the public health and
welfare of current and future U.S. generations is
robust, voluminous, and compelling, and has been
strongly affirmed by recent scientific
assessments. . . .’’ EPA’s Denial of Petitions
Relating to the Endangerment and Cause or
Contribute Findings for Greenhouse Gases Under
Section 202(a) of the Clean Air Act 1, available at
https://www.epa.gov/system/files/documents/202204/decision_document.pdf.
5 Throughout the preamble, we use the term ZEV
technologies to refer to technologies that result in
zero tailpipe emissions. Example ZEV technologies
include battery electric vehicles and fuel cell
vehicles.
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announced plans to increase the use of
heavy-duty zero-emissions technologies
in the coming years. The 2021
Infrastructure Investment and Jobs Act
(commonly referred to as the
‘‘Bipartisan Infrastructure Law’’ or BIL)
and the Inflation Reduction Act of 2022
(‘‘Inflation Reduction Act’’ or IRA)
together include many incentives for the
development, production, and sale of
ZEVs, electric charging infrastructure,
and hydrogen, which are expected to
spur significant innovation in the
heavy-duty sector.6 In addition,
supporting assessments provided by
some commenters during the comment
period for the EPA’s March 2022 Notice
of Proposed Rulemaking ‘‘Control of Air
Pollution from New Motor Vehicles:
Heavy-Duty Engine and Vehicle
Standards’’ (hereafter referred to as
‘‘HD2027 NPRM’’), which proposed
strengthening existing MY 2027 GHG
standards for heavy-duty vehicles,
suggested that significant ZEV adoption
rates can be achieved over the next
decade.7 8 We discuss these
developments in more detail in Section
I. EPA also projects that improvements
in internal combustion engines,
powertrains, and vehicle technologies
such as those EPA projected would be
used to achieve the HD GHG Phase 2
standards will also be needed to
continue to reduce GHG emissions from
the HD sector, and as described in
Section II.D.1, these technology
improvements continue to be feasible.
With respect to the need for GHG
reductions and these heavy-duty sector
developments, EPA is proposing in this
document more stringent MY 2027 HD
vehicle CO2 emission standards (i.e.,
beyond what was finalized in HD GHG
Phase 2) and new HD vehicle CO2
emission standards starting in MYs 2028
through 2032 that we believe are
appropriate and feasible considering
cost, lead time, and other factors, as
described throughout this preamble and
supporting materials in the docket for
this proposed rulemaking.
EPA sets highway heavy-duty vehicle
and engine standards for GHG emissions
6 Infrastructure Investment and Jobs Act, Public
Law 117–58, 135 Stat. 429 (2021) (‘‘Bipartisan
Infrastructure Law’’ or ‘‘BIL’’), available at https://
www.congress.gov/117/plaws/publ58/PLAW117publ58.pdf; Inflation Reduction Act of 2022,
Public Law 117–169, 136 Stat. 1818 (2022)
(‘‘Inflation Reduction Act’’ or ‘‘IRA’’), available at
https://www.congress.gov/117/bills/hr5376/BILLS117hr5376enr.pdf.
7 Notice of Proposed Rulemaking for Control of
Air Pollution from New Motor Vehicles: HeavyDuty Engine and Vehicle Standards. 87 FR 17414
(March 28, 2022).
8 U.S. EPA, ‘‘Control of Air Pollution from New
Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards—Response to Comments.’’ Section 28.
Docket EPA–HQ–OAR–2019–0055.
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under its authority in CAA section
202(a). Section 202(a)(1) states that ‘‘the
Administrator shall by regulation
prescribe (and from time to time revise)
. . . standards applicable to the emission
of any air pollutant from any class or
classes of new motor vehicles or new
motor vehicle engines, . . . which in his
judgment cause, or contribute to, air
pollution which may reasonably be
anticipated to endanger public health or
welfare.’’ Section 202(a)(2) provides that
standards under section 202(a) apply to
such vehicles and engines ‘‘after such
period as the Administrator finds
necessary to permit the development
and application of the requisite
technology, giving appropriate
consideration to the cost of compliance
within such period.’’ Pursuant to
section 202(a)(1), such standards apply
to vehicles and engines ‘‘for their useful
life.’’ EPA also may consider other
factors such as the impacts of potential
GHG standards on the industry, fuel
savings, oil conservation, energy
security, and other relevant
considerations. Congress authorized the
Administrator to determine the levels of
emission reductions achievable for such
air pollutants through the application of
technologies taking into account cost,
lead time, and other factors.
Pursuant to our 202(a) authority, EPA
first established standards for the heavyduty sector in the 1970s. Since then, the
Agency has revised the standards
multiple times based upon updated data
and information, the continued need to
mitigate air pollution, and
Congressional enactments directing EPA
to regulate emissions from the heavyduty sector more stringently. Since
1985, HD engine and vehicle
manufacturers could comply with
criteria-pollutant standards using
averaging,9 EPA also introduced
banking and trading compliance
flexibilities in the HD program in
1990,10 and EPA’s HD GHG standards
and regulations have consistently
included an averaging, banking, and
trading (ABT) program from the start.11
Since the first standards, subsequent
standards have extended to additional
pollutants (including GHGs), increased
in stringency, and spurred the
9 50 FR 10606, Mar. 15, 1985; see also NRDC v.
Thomas, 805 F.2d 410, 425 (D.C. Cir. 1986)
(upholding emissions averaging in the 1985 HD
final rule).
10 55 FR 30584, July 26, 1990.
11 76 FR 57128, September 15, 2011 (explaining
ABT is a flexibility that provides an opportunity for
manufacturers to make necessary technological
improvements while reducing the overall cost of the
program); 81 FR 73495, October 25, 2016
(explaining that ABT plays an important role in
providing manufacturers flexibilities, including
helping reduce costs).
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development and deployment of
numerous new vehicle and engine
technologies. For example, the most
recent GHG standards for HD vehicles
will reduce CO2 emissions by
approximately 1.1 billion metric tons
over the lifetime of the new vehicles
sold under the program (HD GHG Phase
2, 81 FR 73478, October 25, 2016) and
the most recent criteria-pollutant
standards are projected to reduce NOX
emissions from the in-use HD fleet by
almost 50 percent in 2045 (‘‘Control of
Air Pollution from New Motor Vehicles:
Heavy-Duty Engine and Vehicle
Standards’’ (hereafter referred to as
‘‘HD2027 FRM’’), 88 FR 4296, January
24, 2023). This proposal builds upon
this multi-decadal tradition of
regulating heavy-duty vehicles and
engines, by applying the Agency’s clear
and longstanding statutory authority
considering new real-world data and
information, including recent
Congressional action in the Bipartisan
Infrastructure Law (BIL) and Inflation
Reduction Act (IRA).
This Notice of Proposed Rulemaking
is consistent with Executive Order
14037 on Strengthening American
Leadership in Clean Cars and Trucks,
which directs the Administrator to
‘‘consider updating the existing
greenhouse gas emissions standards for
heavy-duty engines and vehicles
beginning with model year 2027 and
extending through and including at least
model year 2029’’ and directs EPA to
‘‘consider beginning work on a
rulemaking under the Clean Air Act to
establish new greenhouse gas emissions
standards for heavy-duty engines and
vehicles to begin as soon as model year
2030.’’ 12 Consistent with this direction,
in the HD2027 NPRM, we proposed
building on and improving the existing
emission control program for highway
heavy-duty vehicles by further
strengthening certain MY 2027 GHG
standards finalized under the HD GHG
Phase 2 rule. However, we did not take
final action on the GHG portion of the
HD2027 proposal in the final rule
(HD2027 FRM). Since that time, EPA
has continued its analysis of the heavyduty vehicle sector including the recent
passage of the IRA, which as we discuss
further in this preamble provides
significant incentives for GHG
reductions in the heavy-duty vehicle
sector. Based on this updated
information and analysis, and consistent
with EPA’s authority under the Clean
Air Act section 202(a), we are issuing
this Notice of Proposed Rulemaking
12 86 FR 43583, August 5, 2021. Executive Order
14037. Strengthening American Leadership in
Clean Cars and Trucks.
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(‘‘HD GHG Phase 3 NPRM’’) to propose
certain revised HD vehicle carbon
dioxide (CO2) standards for MY 2027
and certain new HD vehicle CO2
standards for MYs 2028, 2029, 2030,
2031, and 2032 that would achieve
significant GHG reductions for these
and later model years (note the MY 2032
standards would remain in place for MY
2033 and later). We are requesting
comment on an alternative set of CO2
standards that would more gradually
increase in stringency than the proposed
standards for the same MYs. EPA also
requests comment on setting GHG
standards starting in MYs 2027 through
2032 that would reflect: values less
stringent than the lower stringency
alternative for certain market segments,
values in between the proposed
standards and the alternative standards,
values in between the proposed
standards and those that would reflect
ZEV adoption levels (i.e., percent of
ZEVs in production volumes) used in
California’s ACT, values that would
reflect the level of ZEV adoption in the
ACT program, and values beyond those
that would reflect ZEV adoption levels
in ACT such as the 50- to 60-percent
ZEV adoption range represented by the
publicly stated goals of several major
original equipment manufacturers
(OEMs) for 2030.13 14 15 16 17 We also
request comment on promulgating
additional new standards with
increasing stringency in MYs 2033
through 2035. EPA anticipates that the
appropriate choice of final standards
within this range will reflect the
Administrator’s judgments about the
uncertainties in EPA’s analyses as well
as consideration of public comment and
updated information where available.
CAA section 202(a) directs EPA to
regulate emissions of air pollutants from
new motor vehicles and engines, which
in the Administrator’s judgment, cause
or contribute to air pollution that may
reasonably be anticipated to endanger
13 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
14 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html.
15 AB Volvo, ‘Volvo Trucks Launches Electric
Truck with Longer Range,’ Volvo Group, January
14, 2022, https://www.volvogroup.com/en/newsand-media/news/2022/jan/news-4158927.html.
16 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
17 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
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public health or welfare. While
standards promulgated pursuant to CAA
section 202(a) are based on application
of technology, the statute does not
specify a particular technology or
technologies that must be used to set
such standards; rather, Congress has
authorized and directed EPA to adapt its
standards to emerging technologies. In
2009, the Administrator issued an
Endangerment Finding under CAA
section 202(a), concluding that GHG
emissions from new motor vehicles and
engines, including heavy-duty vehicles
and engines, cause or contribute to air
pollution that may endanger public
health or welfare.18 Pursuant to the 2009
Endangerment and Cause or Contribute
Finding, EPA promulgated GHG
regulations for heavy-duty vehicles and
engines in 2011 and 2016, referred to as
the HD GHG Phase 1 and HD GHG
Phase 2 programs, respectively.19 In the
HD GHG Phase 1 and Phase 2 programs,
EPA set emission standards that the
Agency found appropriate and feasible,
considering cost, lead time, and other
factors.
Over time, manufacturers have not
only continued to find ways to further
reduce emissions from motor vehicles,
including HD vehicles, they have found
ways to eliminate tailpipe emissions
entirely through the use of zeroemission vehicle technologies. Since the
2009 Endangerment and Cause or
Contribute Finding and issuance of the
HD GHG Phase 1 and Phase 2 program
regulations, there has continued to be
significant technological advancement
in the vehicle and engine manufacturing
sectors, including for such zeroemission vehicle technologies. The HD
Phase 3 regulations that we are
proposing take into account the ongoing
technological innovation in the HD
vehicle space and reflect CO2 emission
standards that we consider appropriate
and feasible considering cost, lead time,
and other factors.
lotter on DSK11XQN23PROD with PROPOSALS2
B. The Opportunity for Clean Air
Provided by Zero-Emission Vehicle
Technologies
When the HD GHG Phase 2 rule was
promulgated in 2016, we established
CO2 standards on the premise that ZEV
technologies, such as battery electric
vehicles (BEVs) and fuel cell electric
vehicles (FCEVs), would become more
widely available in the heavy-duty
market over time, but not in significant
volume in the timeframe of the Phase 2
program. We finalized BEV, plug-in
18 74
FR 66496 (Dec. 15, 2009).
FR 57106 (Sept. 15, 2011); 81 FR 73478 (Oct.
25, 2016).
19 76
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hybrid electric vehicle (PHEV), and
FCEV advanced technology credit
multipliers to encourage the
development and sales of these
advanced technologies.
Several significant developments have
occurred since 2016 that point to ZEV
technologies becoming more readily
available much sooner than we had
previously projected for the HD sector.
These developments support the
feasibility of ZEV technologies and
render adoption of ZEV technologies to
reduce GHG emissions more costcompetitive than ever before. First, the
HD market has evolved such that early
ZEV models are in use today for some
applications and are expected to expand
to many more applications; costs of ZEV
technologies have gone down and are
projected to continue to fall; and
manufacturers have announced plans to
rapidly increase their investments in
ZEV technologies over the next decade.
In 2022, there were a number of
manufacturers producing fully electric
HD vehicles for use in a number of
applications, and these small volumes
are expected to rise (see Section I.C and
Draft Regulatory Impact Analysis (DRIA)
Chapter 1). The cost to manufacture
lithium-ion batteries (the single most
expensive component of a BEV) has
dropped significantly in the past eight
years, and that cost is projected to
continue to fall during this decade, all
while the performance of the batteries
(in terms of energy density)
improves.20 21 Many of the
manufacturers that produce HD vehicles
and major firms that purchase HD
vehicles have announced billions of
dollars’ worth of investments in ZEV
technologies and significant plans to
transition to a zero-carbon fleet over the
next ten to fifteen years.22
Second, the 2021 BIL and the 2022
IRA laws provide significant and
unprecedented monetary incentives for
the production and purchase of
qualified ZEVs in the HD market. They
also provide incentives for qualifying
20 Mulholland, Eamonn. ‘‘Cost of electric
commercial vans and pickup trucks in the United
States through 2040.’’ Page 7. January 2022.
Available at https://theicct.org/wp-content/uploads/
2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
21 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation,
Working Paper 2022–09 (February 2022). Available
online: https://theicct.org/publication/purchasecost-ze-trucks-feb22/.
22 Environmental Defense Fund (2022) September
2022 Electric Vehicle Market Update: Manufacturer
Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and
Worldwide, available online at: https://
blogs.edf.org/climate411/files/2022/09/ERM-EDFElectric-Vehicle-Market-Report_September2022.pdf.
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electric charging infrastructure and
hydrogen, which will further support a
rapid increase in market penetration of
HD ZEVs. As a few examples, over the
next five years, BIL provisions include
$5 billion to fund the replacement of
school buses with zero- or low-emission
buses and $5.6 billion to support the
purchase of zero- or low-emission
transit buses and associated
infrastructure, with up to $7.5 billion to
help build out a national network of EV
charging and hydrogen refueling
infrastructure, some of which may be
used for refueling of heavy duty
vehicles. The IRA creates a tax credit of
up to $40,000 per vehicle for vehicles
over 14,000 pounds (and up to $7,500
per vehicle for vehicles under 14,000
pounds) for the purchase of qualified
commercial clean vehicles and provides
tax credits for the production and sale
of battery cells and modules of up to
$45 per kilowatt-hour (kWh). The wide
array of incentives in both laws will
help to reduce the costs to manufacture,
purchase, and operate ZEVs, thereby
bolstering their adoption in the market.
Third, there have been multiple
actions by states to accelerate the
adoption of HD ZEVs. The State of
California and other states have adopted
the ACT program that includes a
manufacturer requirement for zeroemission truck sales.23 24 The ACT
program would require that
‘‘manufacturers who certify Class 2b-8
chassis or complete vehicles with
combustion engines would be required
to sell zero-emission trucks as an
23 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
24 See, e.g., Final Advanced Clean Truck
Amendments, 1461 Mass. Reg. 29 (Jan. 21, 2022)
(Massachusetts). Medium- and Heavy-Duty (MHD)
Zero Emission Truck Annual Sales Requirements
and Large Entity Reporting, 44 N.Y. Reg. 8 (Jan. 19,
2022) (New York), available at https://dos.ny.gov/
system/files/documents/2022/01/011922.pdf.
Advanced Clean Trucks Program and Fleet
Reporting Requirements, 53 N.J.R. 2148(a) (Dec. 20,
2021) (New Jersey), available at https://www.nj.gov/
dep/rules/adoptions/adopt_20211220a.pdf (prepublication version). Clean Trucks Rule 2021, DEQ–
17–2021 (Nov. 17, 2021), available at https://
records.sos.state.or.us/ORSOSWebDrawer/
Recordhtml/8581405 (Oregon). Low emission
vehicles, Wash. Admin. Code. § 173–423–070
(2021), available at https://app.leg.wa.gov/wac/
default.aspx?cite=173-423-070; 2021 Wash. Reg.
587356 (Dec. 15, 2021); Wash. Reg. 21–24–059
(Nov. 29, 2021) (amending Wash. Admin. Code.
§§ 173–423 and 173–400), available at https://
lawfilesext.leg.wa.gov/law/wsrpdf/2021/24/21-24059.pdf (Washington).
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
increasing percentage of their annual
[state] sales from 2024 to 2035.’’ 25 26 In
addition, 17 states and the District of
Columbia have signed a Memorandum
of Understanding establishing goals to
support widespread electrification of
the HD vehicle market.27 We discuss
these factors further in Section I.
Recognizing the need for additional
GHG reductions from HD vehicles and
the growth of ZEV technologies in the
HD market, last year we proposed
strengthening certain existing MY 2027
HD vehicle CO2 standards as part of the
HD2027 NPRM. We received many
comments on the proposed updates to
those HD vehicle CO2 emission
standards.28 Many commenters
suggested that EPA should further
strengthen HD vehicle CO2 emission
standards in MYs 2027 through 2029
beyond the HD2027 NPRM proposed
levels because of the accelerating
adoption of HD ZEV technologies, and
some commenters provided a number of
reports that evaluate the potential of
electrification of the HD sector in terms
of adoption rates, costs, and other
factors. Some commenters raised
concerns with the HD2027 NPRM
proposed changes to certain HD GHG
Phase 2 CO2 emission standards,
asserting the significant investment and
lead time required for development and
verification of the durability of ZEV
technologies, especially given the
diverse range of applications in the HD
market.
In the HD2027 NPRM, EPA also
requested comment on several
approaches to modify the existing
Advanced Technology Credit
Multipliers (‘‘credit multipliers’’) under
the HD GHG Phase 2 program. Many
commenters supported limiting the
credits in some fashion, such as
eliminating credit multipliers for ZEVs
produced due to state requirements or
phasing out the credit multipliers earlier
than MY 2027, which was the last
model year that multipliers could be
lotter on DSK11XQN23PROD with PROPOSALS2
25 California
Air Resources Board, Advanced
Clean Trucks Fact Sheet (August 20, 2021),
available at https://ww2.arb.ca.gov/resources/factsheets/advanced-clean-trucks-fact-sheet. See also
California Air Resources Board, Final Regulation
Order—Advanced Clean Trucks Regulation. Filed
March 15, 2021. Available at: https://
ww2.arb.ca.gov/sites/default/files/barcu/regact/
2019/act2019/fro2.pdf.
26 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023. 88 FR 20688, April 6, 2023 (signed by the
Administrator on March 30, 2023).
27 Multi-State MOU, available at https://
www.nescaum.org/documents/mhdv-zev-mou20220329.pdf/.
28 U.S. EPA, ‘‘Control of Air Pollution from New
Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards—Response to Comments.’’ Section 28.
Docket EPA–HQ–OAR–2019–0055.
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applied under HD GHG Phase 2. Some
of the commenters opposed any changes
to the existing credit multipliers,
indicating that the multipliers are
necessary for the development of these
new and higher-cost technologies into
existing and new markets. We
considered the concerns and
information provided in these
comments when developing this
proposal, as discussed in Sections II and
III. Commenters who would like EPA to
further consider in this rulemaking any
relevant comments that they provided
on the HD2027 NPRM regarding
proposed HD vehicle GHG standards for
the MYs at issue in this proposal must
resubmit those comments to EPA during
this proposal’s comment period.29
EPA believes the increased
application of ZEV technologies in the
HD sector presents an opportunity to
strengthen GHG standards, which can
result in significant reductions in heavyduty vehicle emissions. Based on an indepth analysis of the potential for the
development and application of ZEV
technologies in the HD sector, we are
proposing in this Phase 3 NPRM more
stringent GHG standards for MYs 2027
through 2032 and later HD vehicles
heavy-duty vehicles that are appropriate
and feasible considering lead time,
costs, and other factors. These proposed
Phase 3 standards include (1) revised
GHG standards for many MY 2027 HD
vehicles, with a subset of standards that
would not change, and (2) new GHG
standards starting in MYs 2028 through
2032, of which the MY 2032 standards
would remain in place for MY 2033 and
later. For the purposes of this preamble,
we refer to the Phase 3 NPRM standards
generally as applying to MYs 2027
through 2032 and later HD vehicles. In
this NPRM, we are also requesting
comment on setting additional new,
progressively more stringent GHG
standards beyond the MYs proposed
and starting in MYs 2033 through 2035.
In consideration of concerns from
manufacturers about lead time needed
for technology development and market
investments, we request comment in
this NPRM on an alternative set of GHG
standards starting in MYs 2027 through
2032 that are lower than those proposed
yet still more stringent than the Phase
2 standards. We also request comment,
including supporting data and analysis,
if there are certain market segments,
such as heavy-haul vocational trucks or
long-haul tractors which may require
significant energy content for their
29 Note, comments regarding aspects of the HD
program besides those GHG standards and
compliance requirements in this proposal are
outside the scope of this rulemaking.
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25931
intended use, for which it may be
appropriate to set standards less
stringent than the alternative for the
specific corresponding regulatory
subcategories in order to provide
additional lead time to develop and
introduce ZEV or other low emissions
technology for those specific vehicle
applications. In consideration of the
environmental impacts of HD vehicles
and the need for significant emission
reductions, as well as the views
expressed by stakeholders such as
environmental justice communities,
environmental nonprofit organizations,
and state and local organizations for
rapid and aggressive reductions in GHG
emissions, we are also requesting
comment on a more stringent set of GHG
standards starting in MYs 2027 through
2032 whose values would go beyond the
proposed standards, such as values that
would reflect the level of ZEV adoption
(i.e., percent of ZEVs in production
volumes) used in California’s ACT
program, values in between these
proposed standards and those that
would reflect ZEV adoption levels in
ACT, and values beyond those that
would reflect ZEV adoption levels in
ACT, such as the 50–60 percent ZEV
adoption range represented by the
publicly stated goals of several major
OEMs for 2030.30 31 32 33 34
After considering the state of
electrification of the HD market, new
incentives, and comments received on
the HD2027 NPRM regarding credit
multipliers, EPA believes that the HD
GHG Phase 2 levels of incentives for
electrification are no longer appropriate
for certain segments of the HD vehicle
market. We are proposing in this
document to end credit multipliers for
BEVs and PHEVs one year earlier than
provided in the existing HD GHG Phase
2 program (i.e., no credit multipliers for
BEVs and PHEVs in MYs 2027 and
later).
30 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
31 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html.
32 AB Volvo, ‘Volvo Trucks Launches Electric
Truck with Longer Range,’ Volvo Group, January
14, 2022, https://www.volvogroup.com/en/newsand-media/news/2022/jan/news-4158927.html.
33 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
34 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
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C. Summary of the Major Provisions in
the Regulatory Action
Our proposed program features
several key provisions that include,
based on consideration of updated data
and information, updating the existing
MY 2027 GHG emission standards and
promulgating new GHG emission
standards starting in MYs 2028 through
2032 for HD vehicles. Specifically, we
are proposing to set progressively more
stringent GHG emission standards that
would apply to MYs 2027, 2028, 2029,
2030, 2031, and 2032 and later for
numerous vocational vehicle and tractor
subcategories. The proposed standards
for MY 2032 and later are shown in
Table ES–1 and Table ES–2 and are
described in detail in Section II, while
the proposed standards for MYs 2027
through 2031 are shown in Section
II.F.35 As described in Section II of this
preamble, our analysis shows that the
proposed revisions to HD GHG Phase 2
CO2 standards for MY 2027 and the
proposed new, progressively lower
numeric values of the CO2 standards
starting in MYs 2028 through 2032 are
appropriate considering feasibility, lead
time, costs, and other factors. We seek
comment on these proposed Phase 3
standards starting in MYs 2027 through
2032.
TABLE ES–1—PROPOSED MY 2032 AND LATER VOCATIONAL VEHICLE CO2 EMISSION STANDARDS (GRAMS/TON-MILE) BY
REGULATORY SUBCATEGORY
CI light heavy
Urban Vehicles .....................................................................
Multi-Purpose Vehicles ........................................................
Regional Vehicles ................................................................
CI medium
heavy
179
142
103
CI heavy
heavy
176
153
136
SI light heavy
177
138
97
SI medium
heavy
225
184
131
215
186
165
Note: Please see Section II.F.4 for the full set of proposed standards, including for optional custom chassis vehicles.
TABLE ES–2—PROPOSED MY 2032 AND LATER TRACTOR CO2 EMISSION STANDARDS (GRAMS/TON-MILE) BY
REGULATORY SUBCATEGORY
Class 7 all cab
styles
Low Roof Tractor .........................................................................................................................
Mid Roof Tractor ..........................................................................................................................
High Roof Tractor ........................................................................................................................
Class 8 day
cab
63.5
68.2
66.0
Class 8 sleeper cab
48.4
51.5
50.0
48.1
52.2
48.2
Note: Please see Section II.F.4 for the full set of proposed standards, including for heavy-haul tractors.
The proposed standards do not
mandate the use of a specific
technology, and EPA anticipates that a
compliant fleet under the proposed
standards would include a diverse range
of technologies (e.g., transmission
technologies, aerodynamic
improvements, engine technologies,
battery electric powertrains, hydrogen
fuel cell powertrains, etc.). The
technologies that have played a
fundamental role in meeting the Phase
2 GHG standards will continue to play
an important role going forward as they
remain key to reducing the GHG
emissions of HD vehicles powered by
internal combustion engines (referred to
in this proposal as ICE vehicles). In
developing the proposed standards, EPA
has also considered the key issues
associated with growth in penetration of
zero-emission vehicles, including
charging infrastructure and hydrogen
production. In our assessment that
supports the appropriateness and
feasibility of these proposed standards,
we developed a technology pathway
that could be used to meet each of the
standards. The technology package
includes a mix of ICE vehicles with
CO2-reducing technologies and ZEVs.
EPA developed an analysis tool to
evaluate the design features needed to
meet the energy and power demands of
various HD vehicle types when using
ZEV technologies. The overarching
analysis is premised on ensuring each of
the ZEVs could perform the same work
as its ICE counterpart while oversizing
the battery to account for its usable
range and that batteries deteriorate over
time. The fraction of ZEVs in the
technology packages are shown in Table
ES–3 and described further in Section II
of this preamble.
TABLE ES–3—PROJECTED ZEV ADOPTION RATES IN TECHNOLOGY PACKAGES FOR THE PROPOSED STANDARDS
MY 2027
(%)
Regulatory subcategory grouping
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Light-Heavy Duty Vocational ...................
Medium Heavy-Duty Vocational ..............
Heavy-Heavy-Duty Vocational .................
Day Cab Tractors .....................................
Sleeper Cab Tractors ...............................
MY 2028
(%)
22
19
16
10
0
MY 2029
(%)
28
21
18
12
0
MY 2030
(%)
34
24
19
15
0
MY 2031
(%)
39
27
30
20
10
MY 2032
(%)
45
30
33
30
20
57
35
40
34
25
Note: Please see Section II.F.1 for the full set of technology packages, including for optional custom chassis vehicles.
stringency than the proposed standards
starting in MY 2027 through 2032,
further described in Section II.H. We
We are requesting comment on an
alternative set of CO2 standards that
would more gradually increase in
developed a technology pathway that
could be used to meet the alternatives
standards, which projects the aggregated
35 See proposed regulations 40 CFR 1037.105 and
1037.106.
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
ZEV adoption rates shown in Table ES–
4 and described further in Section II of
this preamble. As described in more
detail in Section II, we also are seeking
comment on setting GHG standards
starting in MYs 2027 through 2032 that
would reflect values less stringent than
the lower stringency alternative for
certain market segments as well as
comment on values in between the
proposed standards and the alternative
standards. Also described in Section II,
we are seeking comment on setting GHG
standards starting in MYs 2027 through
2032 that would reflect values above the
level of the proposed standards. Some of
the HD2027 NPRM commenters
provided specific recommendations for
ZEV adoption rates to include in our
analysis, and these adoption rates are on
the order of 40 percent or more
electrification by MY 2029.36 37 38 39 The
California Air Resources Board’s
(CARB’s) ACT regulation sets ZEV sales
requirements for vocational vehicles at
40 percent and for tractors at 25 percent
in MY 2029 (Table ES–4).
Announcements by major
manufacturers project their HD ZEV
sales to be in the 50 percent range for
2030 globally, with one manufacturer
projecting sales as high as 60 percent for
North America in that year.40 41 42 43 We
request comment and data that would
support more stringent GHG standards
than we are proposing for MYs 2027
through 2032, including comment and
data on different technologies’
penetration rates than we included in
the technology packages described in
Section II of the preamble. Specifically,
EPA requests comment on values that
would reflect the level of ZEV adoption
used in California’s ACT program,
values in between these proposed
standards and those that would reflect
ZEV adoption levels in ACT, and values
beyond those that would reflect ZEV
adoption levels in ACT such as the 50–
60 percent ZEV adoption range
represented by the publicly stated goals
of several major OEMs for
2030.44 45 46 47 48 We further request
comment on promulgating progressively
more stringent standards out through
MY 2035.
TABLE ES–4—AGGREGATED PROJECTED ZEV ADOPTION RATES IN TECHNOLOGY PACKAGES FOR THE PROPOSED STANDARDS, AGGREGATED PROJECTED ZEV ADOPTION RATES IN TECHNOLOGY PACKAGES FOR THE ALTERNATIVE STANDARDS, AND CALIFORNIA ACT ZEV SALES REQUIREMENTS
MY 2027
(%)
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Proposed:
Vocational .........................................
Short-Haul Tractors ..........................
Long-Haul Tractors ...........................
Alternative:
Vocational .........................................
Short Haul Tractors ..........................
Long Haul Tractors ...........................
CARB ACT:
Vocational .........................................
Tractors .............................................
MY 2028
(%)
MY 2029
(%)
MY 2030
(%)
MY 2032
and later
(%)
MY 2031
(%)
20
10
0
25
12
0
30
15
0
35
20
10
40
30
20
50
35
25
14
5
0
20
8
0
25
10
0
30
15
10
35
20
15
40
25
20
20
15
30
20
40
25
50
30
55
35
60
40
As discussed in Section II and DRIA
Chapters 1 and 2, EPA recognizes that
charging and refueling infrastructure for
BEVs and FCEVs is critically important
for the success in the increasing
development and adoption of these
vehicle technologies. There are
significant efforts already underway to
develop and expand heavy-duty electric
charging and hydrogen refueling
infrastructure. The U.S. government is
making large investments through the
BIL and the IRA, as discussed in more
detail in DRIA Chapter 1.3.2. (e.g., this
includes a tax credit for charging or
hydrogen refueling infrastructure) as
well as billions of additional dollars for
programs that could help fund charging
infrastructure if purchased alongside an
electric vehicle).49 50 However, private
investments will also play a critical role
in meeting future infrastructure needs.
We expect many BEV or fleet owners to
invest in charging infrastructure for
depot charging. (See DRIA Chapter 2.6
for information on our analysis of depot
charging needs and costs associated
with this proposal.) Manufacturers,
charging network providers, energy
companies and others are also investing
36 ACEEE Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–2852–A1.
Referencing Catherine Ledna et al., ‘Decarbonizing
Medium-& Heavy-Duty On-Road Vehicles: ZeroEmission Vehicles Cost Analysis’ (NREL, March
2022), https://www.nrel.gov/docs/fy22osti/
82081.pdf.
37 EDF Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1,
pp. 16–17.
38 ICCT Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1211–A1,
p. 6.
39 Moving Forward Network Comments to the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1277–A1, pp. 19–20.
40 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html; AB
Volvo, ‘Volvo Trucks Launches Electric Truck with
Longer Range,’ Volvo Group, January 14, 2022,
https://www.volvogroup.com/en/news-and-media/
news/2022/jan/news-4158927.html.
41 David Cullen, ‘Daimler to Offer Carbon Neutral
Trucks by 2039,’ (October 25, 2019). https://
www.truckinginfo.com/343243/daimler-aims-tooffer-only-co2-neutral-trucks-by-2039-in-keymarkets.
42 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
43 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
44 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
45 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html.
46 AB Volvo, ‘Volvo Trucks Launches Electric
Truck with Longer Range,’ Volvo Group, January
14, 2022, https://www.volvogroup.com/en/newsand-media/news/2022/jan/news-4158927.html.
47 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
48 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
49 Inflation Reduction Act, Public Law 117–169
(2022).
50 Bipartisan Infrastructure Law, Public Law 117–
58, 135 Stat. 429 (2021).
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in high-power public or other stations
that could support en-route charging.
This includes over a billion dollars for
recently announced projects to support
electric truck or other commercial
vehicle charging in the United States
and Europe.51 For example, Daimler
Truck North America is partnering with
electric power generation company
NextEra Energy Resources and
BlackRock Renewable Power to
collectively invest $650 million to
create a nationwide U.S. charging
network for commercial vehicles with a
later phase of the project also
supporting hydrogen fueling stations.52
Volvo Group and Pilot recently
announced their intent to offer public
charging for medium- and heavy-duty
BEVs at over 750 Pilot and Flying J
North American truck stops and travel
plazas.53 (See DRIA Chapter 1.6.2 for a
more detailed discussion of private
investments in heavy-duty
infrastructure.)
These recent heavy-duty charging
announcements come during a period of
rapid growth in the broader market for
charging infrastructure serving cars or
other electric vehicles. BloombergNEF
estimates that annual global investment
was $62 billion in 2022, nearly twice
that of the prior year.54 Private charging
companies have already attracted
billions globally in venture capital and
mergers and acquisitions.55 In the
United States, there was $200 million or
more in mergers and acquisition activity
in 2022 according to the capital market
data provider Pitchbook,56 indicating
51 BloombergNEF. ‘‘Zero-Emission Vehicles
Factbook A BloombergNEF special report prepared
for COP27.’’ November 2022. Available online:
https://www.bloomberg.com/professional/
download/2022-zero-emissions-vehicle-factbook/.
52 NextEra Energy. News Release: ‘‘Daimler Truck
North America, NextEra Energy Resources and
BlackRock Renewable Power Announce Plans to
Accelerate Public Charging Infrastructure for
Commercial Vehicles Across The U.S.’’ January 31,
2022. Available online: https://newsroom.
nexteraenergy.com/news-releases?item=123840.
53 Adler, Alan. ‘‘Pilot and Volvo Group add to
public electric charging projects’’. FreightWaves.
November 16, 2022. Available online: https://
www.freightwaves.com/news/pilot-and-volvo-groupadd-to-public-electric-charging-projects.
54 BloombergNEF. ‘‘Next $100 Billion EV-Charger
Spend to Be Super Fast.’’ January 20, 2023.
Available online: https://about.bnef.com/blog/next100-billion-ev-charger-spend-to-be-super-fast/.
55 Hampleton.’’Autotech & Mobility M&A market
report 1H2023.’’ 2023. Available online: https://
www.hampletonpartners.com/fileadmin/user_
upload/Report_PDFs/Hampleton-PartnersAutotech-Mobility-Report-1H2023-FINAL.pdf.
56 St. John, Alexa, and Nora Naughton.’’
Automakers need way more plug-in stations to
make their EV plans work. That has sparked a buyer
frenzy as big charging players gobble up smaller
ones.’’ Insider, November 24, 2022. Available
online: https://www.businessinsider.com/evcharging-industry-merger-acquisition-meet-electricvehicle-demand-2022-11.
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strong interest in the future of the
charging industry. Domestic
manufacturing capacity is also
increasing with over $600 million in
announced investments to support the
production of charging equipment and
components at existing or new U.S.
facilities.57 58
These important early actions and
market indicators suggest strong growth
in charging and refueling ZEV
infrastructure in the coming years.
Furthermore, as described in Section II
of this document, our analysis of
charging infrastructure needs and costs
supports the feasibility of the future
growth of ZEV technology of the
magnitude EPA is projecting in this
proposal’s technology package. EPA has
heard from some representatives from
the heavy-duty vehicle manufacturing
industry both optimism regarding the
heavy-duty industry’s ability to produce
ZEV technologies in future years at high
volume, but also concern that a slow
growth in ZEV charging and refueling
infrastructure can slow the growth of
heavy-duty ZEV adoption, and that this
may present challenges for vehicle
manufacturers ability to comply with
future EPA GHG standards. Several
heavy-duty vehicle manufacturers have
encouraged EPA to consider ways to
address this concern both in the
development of the Phase 3 program,
and in the structure of the Phase 3
program itself. 59 EPA requests
comment on this concern, both in the
Phase 3 rulemaking process, and in
consideration of whether EPA should
consider undertaking any future actions
related to the Phase 3 standards, if
finalized, with respect to the future
growth of the charging and refueling
infrastructure for ZEVs. EPA has a
vested interest in monitoring industry’s
performance in complying with mobile
source emission standards, including
the highway heavy-duty industry. EPA
monitors industry’s performance
through a range of approaches,
including regular meetings with
individual companies and regulatory
57 Joint Office of Energy and Transportation.
‘‘Private Sector Continues to Play Key Part in
Accelerating Buildout of EV Charging Networks.’’
February 15, 2023. Available online: https://
driveelectric.gov/news/#private-investment.
58 North Carolina Office of the Governor.
‘‘Manufacturer of Electric Vehicle Charging Stations
Selects Durham County for New Production
Facility’’. February 7, 2023. Available online:
https://governor.nc.gov/news/press-releases/2023/
02/07/manufacturer-electric-vehicle-chargingstations-selects-durham-county-new-productionfacility.
59 Truck and Engine Manufacturers Association.
‘‘EPA GHG Phase 3 Rulemaking: H–D Vehicle
Manufacturers’ Perspective’’ presentation to the
Society of Automotive Engineers Government and
Industry Meeting. January 18, 2023.
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requirements for data submission as part
of the annual certification process. EPA
also provides transparency to the public
through actions such as publishing
industry compliance reports (such as
has been done during the heavy-duty
GHG Phase 1 program).60 EPA requests
comment on what, if any, additional
information and data EPA should
consider collecting and monitoring
during the implementation of the Phase
3 standards; we also request comment
on whether there are additional
stakeholders EPA should work with
during implementation of the Phase 3
standards, if finalized, and what
measures EPA should consider to help
ensure success of the Phase 3 program,
including with respect to the important
issues of refueling and charging
infrastructure for ZEVs.
As described in Section III.B of this
preamble, we are also proposing
updates to the advanced technology
incentives in the ABT program for HD
GHG Phase 2 for electric vehicles. Given
the ZEV-related factors outlined in this
section and further described in
Sections I and II that have arisen since
the adoption of HD GHG Phase 2, EPA
believes it is appropriate to limit the
availability of credit multipliers, but we
also recognize the role these credits play
in developing new markets. We are
proposing in this action to eliminate the
advanced technology vehicle credit
multipliers for BEVs and PHEVs for MY
2027, one year before these credit
multipliers were set to end under the
existing HD GHG Phase 2 program. We
propose retaining the existing FCEV
credit multipliers, because the HD
market for this technology continues to
be in the early stage of development. We
request comment on this approach. In
addition to this preamble, we have also
prepared a Draft Regulatory Impact
Analysis (DRIA) which is available on
our website and in the public docket for
this rulemaking. The DRIA provides
additional data, analysis, and
discussion. We request comment on the
analysis and data in the DRIA.
D. Impacts of the Proposed Standards
Our estimated emission reductions,
average per-vehicle costs, program costs,
and monetized benefits of the proposed
program are summarized in this section
and detailed in Sections IV through VIII
of the preamble and Chapters 3 through
8 of the DRIA. EPA notes that,
consistent with CAA section 202, in
60 See EPA Reports EPA–420–R–21–001B
covering Model Years 2014–2018, and EPA report
EPA–420–R–22–028B covering Model Years 2014—
2020, available online at https://www.epa.gov/
compliance-and-fuel-economy-data/epa-heavyduty-vehicle-and-engine-greenhouse-gas-emissions.
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evaluating potential GHG standards, we
carefully weigh the statutory factors,
including GHG emissions impacts of the
GHG standards, and the feasibility of the
standards (including cost of compliance
in light of available lead time). We
monetize benefits of the proposed GHG
standards and evaluate other costs in
part to better enable a comparison of
costs and benefits pursuant to E.O.
12866, but we recognize that there are
benefits that we are currently unable to
fully quantify. EPA’s consistent practice
has been to set standards to achieve
improved air quality consistent with
CAA section 202, and not to rely on
cost-benefit calculations, with their
uncertainties and limitations, in
identifying the appropriate standards.
Nonetheless, our conclusion that the
estimated benefits considerably exceed
the estimated costs of the proposed
program reinforces our view that the
proposed GHG standards represent an
appropriate weighing of the statutory
factors and other relevant
considerations.
Our analysis of emissions impacts
accounts for downstream emissions, i.e.,
from emission processes such as engine
combustion, engine crankcase exhaust,
vehicle evaporative emissions, and
vehicle refueling emissions. Vehicle
technologies would also affect
emissions from upstream sources that
occur during, for example, electricity
generation and the refining and
distribution of fuel. This proposal’s
analyses include emissions impacts
from electrical generating units
(EGUs).61 We also account for refinery
emission impacts on non-GHG
pollutants in these analyses.
The proposed GHG standards would
achieve significant reductions in GHG
emissions. As seen in Table ES–5,
through 2055 the program would result
in significant downstream GHG
emission reductions. In addition,
considering both downstream and EGU
cumulative emissions from calendar
years 2027 through 2055, the proposed
standards would achieve approximately
1.8 billion metric tons in CO2 emission
25935
reductions (see Section V of the
preamble and Chapter 4 of the DRIA for
more detail).62 As discussed in Section
VI of this preamble, these GHG emission
reductions would make an important
contribution to efforts to limit climate
change and its anticipated impacts.
These GHG reductions would benefit all
U.S. residents, including populations
such as people of color, low-income
populations, indigenous peoples, and/or
children that may be especially
vulnerable to various forms of damages
associated with climate change. We
project a cumulative increase from
calendar years 2027 through 2055 of
approximately 0.4 billion metric tons of
CO2 emissions from EGUs as a result of
the increased demand for electricity
associated with the proposal, although
those projected impacts decrease over
time because of projected changes in the
future power generation mix, including
cleaner combustion technologies and
increases in renewables.63
TABLE ES–5—CUMULATIVE DOWNSTREAM GHG IMPACTS OF THE PROPOSAL FROM CALENDAR YEARS 2027 THROUGH
2055 IN BILLION METRIC TONS (BMT) a
Reduction in
BMT
Pollutant
Carbon Dioxide (CO2) .............................................................................................................................................
Methane (CH4) .........................................................................................................................................................
Nitrous Oxide (N2O) ................................................................................................................................................
CO2 Equivalent (CO2e) ...........................................................................................................................................
2.2
0.00035
0.00028
2.3
Percent impact
(%)
¥18
¥17
¥17
¥18
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a Downstream emissions processes are those that come directly from a vehicle, such as tailpipe exhaust, crankcase exhaust, evaporative
emissions, and refueling emissions.
We expect the proposed GHG
emission standards would lead to an
increase in HD ZEVs relative to our
reference case without the proposed
rule, which would also result in
reductions of vehicle emissions of nonGHG pollutants that contribute to
ambient concentrations of ozone,
particulate matter (PM2.5), NO2, CO, and
air toxics. Exposure to these non-GHG
pollutants is linked to adverse human
health impacts such as premature death
as well as other adverse public health
and environmental effects (see Section
VI). As shown in Table ES–6, by 2055,
when considering downstream, EGU,
and refinery emissions, we estimate a
net decrease in emissions from all
pollutants modeled (i.e., NOX, PM2.5,
VOC, and SO2). In this year alone, the
proposed standards would reduce
downstream PM2.5 by approximately
970 U.S. tons (about 39 percent of
heavy-duty sector downstream PM2.5
emissions) and downstream oxides of
nitrogen (NOX) by over 70,000 U.S. tons
(about 28 percent of heavy-duty sector
downstream NOX emissions) (see
Section V of the preamble and Chapter
4 of the DRIA for more detail). These
reductions in non-GHG emissions from
vehicles would reduce air pollution
near roads. As described in Section VI
of this preamble, there is substantial
evidence that people who live or attend
school near major roadways are more
likely to be of a non-White race,
Hispanic ethnicity, and/or low
socioeconomic status. In addition,
emissions from HD vehicles and engines
can significantly affect individuals
living near truck freight routes. Based
on a study EPA conducted of people
living near truck routes, an estimated 72
million people live within 200 meters of
a truck freight route.64 Relative to the
rest of the population, people of color
and those with lower incomes are more
likely to live near truck routes.65 In
addition, children who attend school
near major roads are disproportionately
61 We are continuing and are not reopening the
existing approach taken in both HD GHG Phase 1
and Phase 2, that compliance with the vehicle
exhaust CO2 emission standards is based on CO2
emissions from the vehicle.
62 As discussed in Section V, in this proposal we
estimated refinery emissions impacts only for nonGHG emissions. Were we to estimate impacts on
refinery GHG emissions, we expect that the
decrease in liquid fuel consumption associated with
this rule would lead to a reduction in those
emissions, and that the total GHG emissions
reductions from this proposal (including
downstream, EGU, and refinery) would exceed 1.8
billion metric tons.
63 We expect IRA incentives, particularly sections
45X, 45Y, and 48E of the Internal Revenue Code
(i.e., Title 26) added by sections 13502 (Advanced
Manufacturing Production Credit), 13701 (Clean
Electricity Production Credit), and 13702 (Clean
Electricity Investment Credit), respectively, to
contribute significantly to increases in renewables
in the future power generation mix.
64 U.S. EPA (2021). Estimation of Population Size
and Demographic Characteristics among People
Living Near Truck Routes in the Conterminous
United States. Memorandum to the Docket EPA–
HQ–OAR–2019–0055.
65 See Section VI.D for additional discussion on
our analysis of environmental justice impacts of
this NPRM.
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represented by children of color and
children from low-income
households.66
Similar to GHG emissions, we project
that non-GHG emissions from EGUs
would increase as a result of the
increased demand for electricity
associated with the proposal, and we
expect those projected impacts to
decrease over time due to EGU
regulations and changes in the future
power generation mix, including
impacts of the IRA. We also project that
non-GHG emissions from refineries
would decrease as a result of the lower
demand for liquid fuel associated with
the proposed GHG standards (Section V
and DRIA Chapter 4).
TABLE ES–6—PROJECTED NON-GHG HEAVY-DUTY EMISSION IMPACTS a IN CALENDAR YEAR 2055 DUE TO THE
PROPOSAL
Downstream
(U.S short
tons)
Pollutant
Nitrogen Oxides (NOX) ....................................................................................
Primary Exhaust PM2.5 ....................................................................................
Volatile Organic Compounds (VOC) ................................................................
Sulfur Dioxide (SO2) ........................................................................................
a We
EGU
(U.S. short
tons)
¥71,000
¥970
¥21,000
¥520
790
750
750
910
Refinery
(U.S. short
tons)
¥1,800
¥440
¥1200
¥640
Net impact
(U.S. short
tons)
¥72,000
¥650
¥21,000
¥250
present emissions reductions as negative numbers and emission increases as positive numbers.
We estimate that the present value, at
3 percent, of costs to manufacturers
would be $9 billion dollars before
considering the IRA battery tax credits.
With those battery tax credits, which we
estimate to be $3.3 billion, the cost to
manufacturers of compliance with the
program would be $5.7 billion. The
manufacturer cost of compliance with
the proposed rule on a per-vehicle basis
are shown in Table ES–7. We estimate
that the MY 2032 fleet average pervehicle cost to manufacturers by
regulatory group would range between a
cost savings for LHD vocational vehicles
to $2,300 for HHD vocational vehicles
and between $8,000 and $11,400 per
tractor. EPA notes the projected costs
per vehicle for this proposal are similar
to the fleet average per-vehicle costs
projected for the HD GHG Phase 2 rule,
where the tractor standards were
projected to cost between $10,200 and
$13,700 per vehicle (81 FR 73621
(October 25, 2016)) and the MY 2027
vocational vehicle standards were
projected to cost between $1,486 and
$5,670 per vehicle (81 FR 73718
(October 25, 2016)). For this proposal,
EPA finds that the expected the
additional vehicle costs are reasonable
in light of the GHG emissions
reductions.67
TABLE ES–7—MANUFACTURER COSTS TO MEET THE PROPOSED MY 2032 STANDARDS RELATIVE TO THE REFERENCE
CASE
[2021$]
Incremental
ZEV adoption
rate
in technology
package
(%)
Regulatory group
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Light Heavy-Duty Vocational .......................................................................................................
Medium Heavy-Duty Vocational ..................................................................................................
Heavy Heavy-Duty Vocational .....................................................................................................
Day Cab Tractors ........................................................................................................................
Sleeper Cab Tractors ..................................................................................................................
45
24
28
30
21
Per-ZEV
manufacturer
RPE on
average
¥$9,515
1,358
8,146
26,364
54,712
Fleet-average
per-vehicle
manufacturer
RPE
¥$4,326
326
2,300
8,013
11,445
The proposed GHG standards would
reduce adverse impacts associated with
climate change and exposure to nonGHG pollutants and thus would yield
significant benefits, including those we
can monetize and those we are unable
to quantify. Table ES–8 summarizes
EPA’s estimates of total monetized
discounted costs, operational savings,
and benefits. The results presented here
project the monetized environmental
and economic impacts associated with
the proposed program during each
calendar year through 2055. EPA
estimates that the present value of
monetized net benefits to society would
be approximately $320 billion through
the year 2055 (annualized net benefits of
$17 billion through 2055), more than 5
times the cost in vehicle technology and
associated electric vehicle supply
equipment (EVSE) combined. Regarding
social costs, EPA estimates that the cost
of vehicle technology (not including the
vehicle or battery tax credits) and EVSE
would be approximately $9 billion and
$47 billion respectively, and that the HD
industry would save approximately
$250 billion in operating costs (e.g.,
savings that come from less liquid fuel
used, lower maintenance and repair
costs for ZEV technologies as compared
to ICE technologies, etc.). The program
would result in significant social
benefits including $87 billion in climate
benefits (with the average SC–GHGs at
a 3 percent discount rate). Between $15
and $29 billion of the estimated total
benefits through 2055 are attributable to
reduced emissions of non-GHG
pollutants, primarily those that
contribute to ambient concentrations of
66 Kingsley, S., Eliot, M., Carlson, L. et al.
Proximity of U.S. schools to major roadways: a
nationwide assessment. J Expo Sci Environ
Epidemiol 24, 253–259 (2014). https://doi.org/
10.1038/jes.2014.5.
67 For illustrative purposes, these average costs
would represent an approximate two percent
increase for vocational vehicles and 11 percent
increase of tractors if we assume an approximate
minimum vehicle price of $100,000 for vocational
vehicles and $100,000 for tractors (81 FR 73482).
We also note that these average upfront costs are
taken across the HD vehicle fleet and are not meant
as an indicator of average price increase.
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PM2.5. Finally, the benefits due to
reductions in energy security
externalities caused by U.S. petroleum
consumption and imports would be
approximately $12 billion under the
proposed program. A more detailed
25937
description and breakdown of these
benefits can be found in Section VIII of
the preamble and Chapter 7 of the DRIA.
TABLE ES–8—MONETIZED DISCOUNTED COSTS, BENEFITS, AND NET BENEFITS OF THE PROPOSED PROGRAM FOR
CALENDAR YEARS 2027 THROUGH 2055
[Billions of 2021 dollars] a b c d e
Present value
3% Discount
rate
Vehicle Technology Costs ...............................................................................
EVSE Costs .....................................................................................................
Operational Savings ........................................................................................
Energy Security Benefits .................................................................................
GHG Benefits ...................................................................................................
Non-GHG Benefits ...........................................................................................
Net Benefits .....................................................................................................
$9
47
250
12
87
15 to 29
320
Annualized value
7% Discount
rate
$10
29
120
6.0
87
5.8 to 11
180
3% Discount
rate
$0.47
2.5
13
0.62
4.6
0.78 to 1.5
17
7% Discount
rate
$0.82
2.3
10
0.49
4.6
0.47 to 0.91
12
Notes:
a Values rounded to two significant figures; totals may not sum due to rounding. Present and annualized values are based on the stream of annual calendar year costs and benefits included in the analysis (2027–2055) and discounted back to year 2027.
b Climate benefits are based on reductions in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social
cost of each GHG (SC–GHG model average at 2.5%, 3%, and 5% discount rates; 95th percentile at 3% discount rate), which each increase over
time. In this table, we show the benefits associated with the average SC–GHGs at a 3% discount rate, but the Agency does not have a single
central SC–GHG point estimate. We emphasize the importance and value of considering the benefits calculated using all four SC–GHG estimates and present them later in this preamble. As discussed in Chapter 7 of the DRIA, a consideration of climate benefits calculated using discount rates below 3 percent, including 2 percent and lower, is also warranted when discounting intergenerational impacts. We note that in this
proposal we are using the SC–GHG estimates presented in the February 2021 Technical Support Document (TSD): Social Cost of Carbon,
Methane, and Nitrous Oxide Interim Estimates under E.O. 13990 (IWG 2021). For further discussion of SC–GHG and how EPA accounted for
these estimates, please refer to Section VII of this preamble.
c The same discount rate used to discount the value of damages from future GHG emissions in this table (SC–GHGs at 3% discount rate) is
used to calculate the present and annualized values of climate benefits for internal consistency, while all other costs and benefits are discounted
at either 3% or 7%.
d Non-GHG health benefits are presented based on two different long-term exposure studies of mortality risk: a Medicare study (Wu et al.,
2020) and a National Health Interview Survey study (Pope III et al., 2019). Non-GHG impacts associated with the standards presented here do
not include the full complement of health and environmental effects that, if quantified and monetized, would increase the total monetized benefits.
Instead, the non-GHG benefits are based on benefit-per-ton values that reflect only human health impacts associated with reductions in PM2.5
exposure.
e Net benefits reflect the operational savings plus benefits minus costs. For presentational clarity, the present and equivalent annualized value
of net benefits for a 3 percent discount rate reflect benefits based on the Pope III et al. study while the present and equivalent annualized value
of net benefits for a 7 percent discount rate reflect benefits based on the Wu et al. study.
Regarding the costs to purchasers as
shown in Table ES–9, for the proposed
program we estimated the average
upfront incremental cost to purchase a
new MY 2032 HD BEV or FCEV relative
to an ICE vehicle for a vocational BEV
and EVSE, a short-haul tractor BEV and
EVSE, a short-haul tractor FCEV, and a
long-haul tractor FCEV. These
incremental costs account for the IRA
tax credits, specifically battery and
vehicle tax credits, as discussed in
Section II.E.4 and Section IV.C and
IV.D. We also estimated the operational
savings each year (i.e., savings that come
from the lower costs to operate,
maintain, and repair BEV technologies)
and payback period (i.e., the year the
initial cost increase would pay back).
Table ES–9 shows that for the
vocational vehicle ZEVs, short-haul
tractor ZEVs, and long-haul tractor
FCEVs the incremental upfront costs
(after the tax credits) are recovered
through operational savings such that
pay back occurs after between one and
three years on average for vocational
vehicles, after three years for short-haul
tractors and after seven years on average
for long-haul tractors. We discuss this in
more detail in Sections II and IV of this
preamble and DRIA Chapters 2 and 3.
TABLE ES–9—MY 2032 ESTIMATED AVERAGE PER-VEHICLE PURCHASER UPFRONT COST AND ANNUAL SAVINGS
DIFFERENCE BETWEEN BEV/FCEV AND ICE TECHNOLOGIES FOR THE PROPOSED PROGRAM
[2021 dollars] a
Upfront
vehicle cost
difference
(including
tax credits)
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Regulatory group
LHD Vocational ....................................................................
MHD Vocational ...................................................................
HHD Vocational ...................................................................
Short Haul (Day Cab) Tractors ............................................
Long Haul (Sleeper Cab) Tractors ......................................
a Undiscounted
VerDate Sep<11>2014
Upfront
EVSE costs
on average
¥$9,608
¥2,907
¥8,528
582
14,712
Total upfront
costs on average
$10,552
14,312
17,233
16,753
0
$944
11,405
8,705
17,335
14,712
dollars.
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Annual
incremental
operating
costs
on average
¥$4,043
¥5,397
¥7,436
¥6,791
¥2,290
Payback period
(year) on average
1
3
2
3
7
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I. Introduction
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A. Brief Overview of the Heavy-Duty
Industry
Heavy-duty highway vehicles range
from commercial pickup trucks to
vocational vehicles that support local
and regional transportation,
construction, refuse collection, and
delivery work, to line-haul tractors
(semi trucks) that move freight crosscountry. This diverse array of vehicles
is categorized into weight classes based
on gross vehicle weight ratings (GVWR).
These weight classes span Class 2b
pickup trucks and vans from 8,500 to
10,000 pounds GVWR through Class 8
line-haul tractors and other commercial
vehicles that exceed 33,000 pounds
GVWR. While Class 2b and 3 complete
pickups and vans are not included in
this proposed rulemaking, Class 2b and
3 vocational vehicles are included in
this rulemaking (as discussed further in
Section III.E.3).68
Heavy-duty highway vehicles are
powered through an array of different
means. Currently, the HD vehicle fleet is
primarily powered by diesel-fueled,
compression-ignition (CI) engines.
However, gasoline-fueled, spark-ignition
(SI) engines are common in the lighter
weight classes, and smaller numbers of
alternative fuel engines (e.g., liquified
petroleum gas, compressed natural gas)
are found in the heavy-duty fleet. We
refer to the vehicles powered by internal
combustion engines (ICE, including SI
and CI engines) as ICE vehicles
throughout this preamble. An increasing
number of HD vehicles are powered by
zero emission vehicle (ZEV)
technologies such as battery electric
vehicle (BEV) technology, e.g., EPA
certified 380 HD BEVs in MY 2020 but
that number jumped to 1,163 HD BEVs
in MY 2021. We use the term ZEV
technologies throughout the preamble to
refer to technologies that result in zero
tailpipe emissions, which in this
preamble we refer to collectively as
ZEVs. Example ZEV technologies
include BEVs and fuel cell vehicles
(FCEVs). While hybrid vehicles
(including plug-in hybrid electric
vehicles) include energy storage features
such as batteries, they also include an
68 Class 2b and 3 vehicles with GVWR between
8,500 and 14,000 pounds are primarily commercial
pickup trucks and vans and are sometimes referred
to as ‘‘medium-duty vehicles’’. The vast majority of
Class 2b and 3 vehicles are chassis-certified
vehicles, and we intend to include those vehicles
in a combined light-duty and medium-duty
rulemaking action, consistent with E.O. 14037,
Section 2a. Heavy-duty engines and vehicles are
also used in nonroad applications, such as
construction equipment; nonroad heavy-duty
engines, equipment, and vehicles are not within the
scope of this NPRM.
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ICE, which do not result in zero tailpipe
emissions.
The industry that designs and
manufactures HD vehicles is composed
of three primary segments: vehicle
manufacturers, engine manufacturers
and other major component
manufacturers, and secondary
manufacturers (i.e., body builders).
Some vehicle manufacturers are
vertically integrated—designing,
developing, and testing their engines inhouse for use in their vehicles; others
purchase some or all of their engines
from independent engine suppliers. At
the time of this proposal, only one major
independent engine manufacturer
supports the HD industry, though some
vehicle manufacturers sell their engines
or ‘‘incomplete vehicles’’ (i.e., chassis
that include their engines, the frame,
and a transmission) to body builders
who design and assemble the final
vehicle. Each of these subindustries is
often supported by common suppliers
for subsystems such as transmissions,
axles, engine controls, and emission
controls.
In addition to the manufacturers and
suppliers responsible for producing HD
vehicles, an extended network of
dealerships, repair and service facilities,
and rebuilding facilities contribute to
the sale, maintenance, and extended life
of these vehicles and engines. HD
vehicle dealerships offer customers a
place to order such vehicles from a
specific manufacturer and often include
service facilities for those vehicles and
their engines. Dealership service
technicians are generally trained to
perform regular maintenance and make
repairs, which generally include repairs
under warranty and in response to
manufacturer recalls. Some trucking
fleets, businesses, and large
municipalities hire their own
technicians to service their vehicles in
their own facilities. Many refueling
centers along major trucking routes have
also expanded their facilities to include
roadside assistance and service stations
to diagnose and repair common
problems.
The end-users for HD vehicles are as
diverse as the applications for which
these vehicles are purchased. Smaller
weight class HD vehicles are commonly
purchased by delivery services,
contractors, and municipalities. The
middle weight class vehicles tend to be
used as commercial vehicles for
business purposes and municipal work
that transport people and goods locally
and regionally or provide services such
as utilities. Vehicles in the heaviest
weight classes are generally purchased
by businesses with high load demands,
such as construction, towing or refuse
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collection, or freight delivery fleets and
owner-operators for regional and longhaul goods movement. The competitive
nature of the businesses and owneroperators that purchase and operate HD
vehicles means that any time at which
the vehicle is unable to operate due to
maintenance or repair (i.e., downtime)
can lead to a loss in income. The
customers’ need for reliability drives
much of the vehicle manufacturers
innovation and research efforts.
B. History of Greenhouse Gas Emission
Standards for Heavy-Duty Engines and
Vehicles
EPA has a longstanding practice of
regulating GHG emissions from the HD
sector. In 2009, EPA and the U.S.
Department of Transportation’s (DOT’s)
National Highway Traffic Safety
Administration (NHTSA) began working
on a joint regulatory program to reduce
GHG emissions and fuel consumption
from HD vehicles and engines.69 The
first phase of the HD GHG and fuel
efficiency program was finalized in
2011 (76 FR 57106, September 15, 2011)
(‘‘HD GHG Phase 1’’).70 The HD GHG
Phase 1 program largely adopted
approaches consistent with
recommendations from the National
Academy of Sciences. The HD GHG
Phase 1 program, which began in MY
2014 and phased in through MY 2018,
included separate standards for HD
vehicles and HD engines. The program
offered flexibility allowing
manufacturers to attain these standards
through a mix of technologies and the
option to participate in an emissions
credit ABT program.
In 2016, EPA and NHTSA finalized
the HD GHG Phase 2 program.71 The HD
GHG Phase 2 program included
technology-advancing, performancebased emission standards for HD
vehicles and HD engines that phase in
over the long term, with initial
standards for most vehicles and engines
commencing in MY 2021, increasing in
stringency in MY 2024, and culminating
in even more stringent MY 2027
standards. HD GHG Phase 2 built upon
the Phase 1 program and set standards
69 Greenhouse gas emissions from heavy-duty
vehicles are primarily carbon dioxide (CO2), but
also include methane (CH4), nitrous oxide (N2O),
and hydrofluorocarbons (HFC).
70 National Research Council; Transportation
Research Board. The National Academies’
Committee to Assess Fuel Economy Technologies
for Medium- and Heavy-Duty Vehicles;
‘‘Technologies and Approaches to Reducing the
Fuel Consumption of Medium- and Heavy-Duty
Vehicles.’’ 2010. Available online: https://
www.nap.edu/catalog/12845/technologies-andapproaches-to-reducing-the-fuel-consumption-ofmedium-and-heavy-duty-vehicles.
71 81 FR 73478, October 25, 2016.
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based not only on then-currently
available technologies, but also on
technologies that were either still under
development or not yet widely deployed
at the time of the HD GHG Phase 2 final
rule. To ensure adequate time for
technology development, HD GHG
Phase 2 provided up to 10 years lead
time to allow for the development and
phase-in of these control technologies.
EPA recently finalized technical
amendments to the HD GHG Phase 2
rulemaking (‘‘HD Technical
Amendments’’) that included changes to
the test procedures for heavy-duty
engines and vehicles to improve
accuracy and reduce testing burden.72
As with the previous HD GHG Phase
1 and Phase 2 rules and light-duty GHG
rules, EPA has coordinated with the
DOT and NHTSA during the
development of this proposed rule. This
included coordination prior to and
during the interagency review
conducted under E.O. 12866. EPA has
also consulted with CARB during the
development of this proposal, as EPA
also did during the development of the
HD GHG Phase 1 and 2 and light-duty
rules. See Section I.E for additional
detail on EPA’s coordination with DOT/
NHTSA, CARB, and additional Federal
Agencies.
C. What has changed since we finalized
the HD GHG Phase 2 rule?
In 2016, we established the HD GHG
Phase 2 CO2 standards on the premise
that zero-emission technologies would
not be available and cost-competitive in
significant volumes in the timeframe of
the HD GHG Phase 2 program but would
become more widely available in the HD
market over time. To encourage that
availability at faster pace, we finalized
BEV, PHEV, and FCEV advanced
technology credit multipliers for HD
vehicles. As described in the Executive
Summary and Section II of this
preamble, we have considered new data
and recent policy changes and we are
now projecting that ZEV technologies
will be readily available and
technologically feasible much sooner
than we had projected. We list the
developments pointing to this increased
application of ZEV technologies again in
the following paragraphs (and we
discuss their impacts on the HD market
in more detail in the Sections I.C.1
through I.C.3):
First, the HD market has evolved such
that early ZEV models are in use today
for some applications and are expected
to expand to many more applications,
ZEV technologies costs have gone down
and are projected to continue to fall, and
72 86
FR 34308, June 29, 2021.
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manufacturers have announced plans to
rapidly increase their investments in
ZEV technologies over the next decade.
For example, in 2022, several
manufacturers are producing fully
electric HD vehicles in several
applications, and these applications are
expected to expand (see Section I.C.1
and DRIA Chapter 1). Furthermore,
several HD manufacturers have
announced their ZEV projections that
signify a rapid increase in BEVs over the
next decade. This increase in HD ZEVs
is in part due to the significant decrease
in cost to manufacture lithium-ion
batteries, the single most expensive
component of a BEV, in the past decade;
those costs are projected to continue to
fall during this decade, all while the
performance of these batteries in terms
of energy density has improved and is
projected to continue to improve.73 74
Many of the manufacturers who
produce HD vehicles and firms that
purchase HD vehicles have announced
billions of dollars’ worth of investments
in ZEV technologies and significant
plans to transition to a zero-carbon fleet
over the next ten to fifteen years.75
Second, the 2021 BIL and the 2022
IRA laws have been enacted, and
together these two laws provide
significant and unprecedented monetary
incentives for the production and
purchase of ZEVs in the HD market, as
well as incentives for electric vehicle
charging and hydrogen, which will
further support a rapid increase in
market penetration of ZEVs.
Third, there have been multiple
actions by states to accelerate the
adoption of HD ZEVs. The State of
California and other states have adopted
the ACT program that includes a
manufacturer requirement for zeroemission truck sales.76 77 The ACT
73 Mulholland, Eamonn. ‘‘Cost of electric
commercial vans and pickup trucks in the United
States through 2040.’’ Page 7. January 2022.
Available at https://theicct.org/wp-content/uploads/
2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
74 Environmental Defense Fund. ‘‘Technical
Review of Medium- and Heavy-Duty Electrification
Costs for 2027–2030.’’ February 2, 2022. Available
online at: https://blogs.edf.org/climate411/files/
2022/02/EDF-MDHD-Electrification-v1.6_
20220209.pdf.
75 Environmental Defense Fund (2022) Electric
Vehicle Market Update: Manufacturer
Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and
Worldwide, September 2022, available online at:
https://blogs.edf.org/climate411/files/2022/09/ERMEDF-Electric-Vehicle-Market-Report_
September2022.pdf.
76 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
77 Oregon adopted ACT on 11/17/2021: https://
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25939
program provides that ‘‘manufacturers
who certify Class 2b-8 chassis or
complete vehicles with combustion
engines would be required to sell zeroemission trucks as an increasing
percentage of their annual [state] sales
from 2024 to 2035.’’ 78 79 In addition, 17
states and the District of Columbia have
signed a Memorandum of
Understanding establishing goals to
support widespread electrification of
the HD vehicle market.80
We note that the improvements in
internal combustion engine technologies
that began under the HD GHG Phase 1
program and are being advanced under
the HD GHG Phase 2 standards are still
necessary for reducing GHG emissions
from the HD sector. As we discuss in
Section II.D.1, these technology
improvements exist today and we
believe they will continue to be feasible
during the timeframe at issue in this
proposed rulemaking.
1. The HD Zero-Emission Vehicle
Market
Since 2012, manufacturers have
developed a number of prototype and
demonstration HD BEV projects,
particularly in the State of California,
establishing technological feasibility
and durability of BEV technology for
specific applications used for specific
services, as well as building out
necessary infrastructure.81 In 2019,
approximately 60 makes and models of
HD BEVs were available for purchase,
with additional product lines in
prototype or other early development
stages.82 83 84 According to the Global
ctr2021.aspx. Washington adopted ACT on 11/29/
2021: https://ecology.wa.gov/Regulations-Permits/
Laws-rules-rulemaking/Rulemaking/WAC-173-423400. New York adopted ACT on 12/29/2021:
https://www.dec.ny.gov/regulations/26402.html.
New Jersey adopted ACT on 12/20/2021: https://
www.nj.gov/dep/rules/adoptions.html.
Massachusetts adopted ACT on 12/30/2021: https://
www.mass.gov/regulations/310-CMR-700-airpollution-control#proposed-amendments-publiccomment.
78 California Air Resources Board, Advanced
Clean Trucks Fact Sheet (August 20, 2021),
available at https://ww2.arb.ca.gov/resources/factsheets/advanced-clean-trucks-fact-sheet. See also
California Air Resources Board, Final Regulation
Order—Advanced Clean Trucks Regulation. Filed
March 15, 2021. Available at: https://
ww2.arb.ca.gov/sites/default/files/barcu/regact/
2019/act2019/fro2.pdf.
79 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023.
80 Multi-State MOU, available at https://
www.nescaum.org/documents/mhdv-zev-mou20220329.pdf/.
81 NACFE (2019) ‘‘Guidance Report: Viable Class
7⁄8 Electric, Hybrid and Alternative Fuel Tractors’’,
available online at: https://nacfe.org/downloads/
viable-class-7-8-alternative-vehicles/.
82 Nadel, S. and Junga, E. (2020). ‘‘Electrifying
Trucks: From Delivery Vans to Buses to 18-
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Commercial Vehicle Drive to Zero ZeroEmission Technology Inventory (ZETI),
160 BEV models were commercially
available on the market in the United
States and Canada region in 2021, and
around 200 BEV models are projected to
be available by 2024.85 DRIA Chapter 1
provides a snapshot of BEV models in
the HD vehicle market.
Current production volumes of HD
BEVs originally started increasing in the
transit bus market, where electric bus
sales grew from 300 to 650 in the United
States between 2018 to 2019.86 87 In
2020, the market continued to expand
beyond transit, with approximately 900
HD BEVs sold in the United States and
Canada combined, consisting of transit
buses (54 percent), school buses (33
percent), and straight trucks (13
percent).88 By 2021, M.J. Bradley’s
analysis of the HD BEV market found
that 30 manufacturers had at least one
BEV model for sale and an additional
nine companies had made
announcements to begin BEV
production by 2025.89 In April 2022, the
Environmental Defense Fund (EDF)
projected deployments and major orders
of electric trucks and buses in the
Wheelers.’’ American Council for an EnergyEfficient Economy White Paper, available at:
https://aceee.org/white-paper/electrifying-trucksdelivery-vans-buses-18.
83 The composition of all-electric truck models
was: 36 buses, 10 vocational trucks, 9 step vans, 3
tractors, 2 street sweepers, and 1 refuse truck (Nadel
and Junga (2020) citing AFDC (Alternative Fuels
Data Center). 2018. ‘‘Average Annual Vehicle Miles
Traveled by Major Vehicle Categories.’’
www.afdc.energy.gov/data/widgets/10309.
84 Note that there are varying estimates of BEV
and FCEV models in the market; NACFE (2019)
‘‘Guidance Report: Viable Class 7⁄8 Electric, Hybrid
and Alternative Fuel Tractors’’, available at: https://
nacfe.org/downloads/viable-class-7-8-alternativevehicles/. (NACFE 2019) provided slightly lower
estimates than those included here from Nadel and
Junga 2020. A recent NREL study suggests that there
may be more models available, but it is unclear how
many are no longer on the market since the
inventory includes vehicles introduced and used in
commerce starting in 2012 (Smith et al. 2019).
85 Global Commercial Vehicle Drive to Zero.
‘‘ZETI Data Explorer’’. CALSTART. Version 1.1,
accessed February 2023. Available online: https://
globaldrivetozero.org/tools/zeti-data-explorer/.
86 Tigue, K. (2019) ‘‘U.S. Electric Bus Demand
Outpaces Production as Cities Add to Their Fleets’’
Inside Climate News, November 14. https://
insideclimatenews.org/news/14112019/electric-buscost-savings-health-fuel-charging.
87 Note that ICCT (2020) estimates 440 electric
buses were sold in the U.S. and Canada in 2019,
with 10 of those products being FCEV pilots. The
difference in estimates of number of electric buses
available in the U.S. may lie in different sources
looking at production vs. sales of units.
88 International Council on Clean Transportation.
‘‘Fact Sheet: Zero-Emission Bus and Truck Market
in the United States and Canada: A 2020 Update.’’
Pages 3–4. May 2021.
89 M.J. Bradley and Associates (2021) ‘‘Mediumand Heavy-Duty Vehicles: Market Structure,
Environmental Impact, and EV Readiness.’’ Page 21.
July 2021.
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United States to rise to 54,000 by 2025
based on an analysis of formal
statements and announcements by auto
manufacturers, as well as analysis of the
automotive press and data from
financial and market analysis firms that
regularly cover the auto industry.90
Given the dynamic nature of the BEV
market, the number and types of
vehicles available are increasing fairly
rapidly.91
The current market for HD FCEVs is
not as developed as the market for HD
BEVs, but models are being designed,
tested, and readied for purchase in the
coming years. According to ZETI,92 at
least 16 HD FCEV models are expected
to become commercially available for
production in the United States and
Canada region by 2024, as listed in
DRIA Chapter 1. The Hydrogen Fuel
Cell Partnership reports that fuel cell
electric buses have been in commercial
development for 20 years and, as of May
2020, over 100 buses are in operation or
in planning in the United States.93
Foothill Transit in Los Angeles County
ordered 33 transit buses that they expect
to be operating in early 2023.94 Ten
Toyota-Kenworth Class 8 fuel cell
tractors were successfully tested in the
Port of Los Angeles and surrounding
area through 2022.95 Hyundai is
scheduled to test 30 Class 8 tractors in
the Port of Oakland in 2023.96 Nikola
90 Environmental Defense Fund. ‘‘Electric Vehicle
Market Update: Manufacturer Commitments and
Public Policy Initiatives Supporting Electric
Mobility in the U.S. and Worldwide’’. April 2022.
Available online: https://blogs.edf.org/climate411/
files/2022/04/electric_vehicle_market_report_v6_
april2022.pdf.
91 Union of Concerned Scientists (2019) ‘‘Ready
for Work: Now Is the Time for Heavy-Duty Electric
Vehicles,’’ available at www.ucsusa.org/resources/
ready-work.
92 Global Commercial Vehicle Drive to Zero.
‘‘ZETI (Zero-Emission Technology Inventory)’’.
CALSTART. Version 8.0, accessed November 2022.
Available online: https://globaldrivetozero.org/
tools/zeti/.
93 Hydrogen Fuel Cell Partnership. ‘‘Buses &
Trucks’’. Available online: https://h2fcp.org/buses_
trucks.
94 Scauzillo, Steve. ‘‘First hydrogen-powered
transit bus in LA County hits streets in December,
starting new trend’’. San Gabriel Valley Tribune.
November 22, 2022. Available online: https://
ourcommunitynow.com/post/first-hydrogenpowered-transit-bus-in-la-county-hits-streets-indecember-starting-new-trend.
95 Heavy Duty Trucking. ‘‘FCEV Drayage Trucks
Prove Themselves in LA Port Demonstration
Project.’’ HDT Truckinginfo. September 22, 2022.
Available online: https://www.truckinginfo.com/
10181655/fcev-drayage-trucks-prove-themselves-inla-port-demonstration-project.
96 Hyundai. ‘‘Hyundai Motors Details Plans to
Expand into U.S. Market with Hydrogen-powered
XCIENT Fuel Cells at ACT Expo.’’ May 10, 2022.
Available online: https://www.hyundai.com/
worldwide/en/company/newsroom/hyundai-motordetails-plans-to-expand-into-u.s.-market-withhydrogen-powered-xcient-fuel-cells-at-act-expo0000016825.
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has agreements with fleets to purchase
or lease over 200 Class 8 trucks upon
satisfactory completion of
demonstrations 97 98 99 and is building a
manufacturing facility in Coolidge,
Arizona, with an expected production
capacity of up to 20,000 BEV and FCEV
trucks by the end of 2023.100
For this proposed rulemaking, EPA
conducted an analysis of manufacturersupplied end-of-year production reports
provided to us as a requirement of the
process to certify HD vehicles to our
GHG emission standards.101 Based on
the end-of-year production reports for
MY 2019, manufacturers produced
approximately 350 certified HD BEVs.
This is out of nearly 615,000 HD diesel
ICE vehicles produced in MY 2019 and
represents approximately 0.06 percent
of the HD vehicles market. In MY 2020,
380 HD BEVs were certified, an increase
of 30 BEVs from 2019. The BEVs were
certified in a variety of the Phase 1
vehicle subcategories, including light,
medium, and heavy heavy-duty
vocational vehicles and vocational
tractors. Out of the 380 HD BEVs
certified in MY 2020, a total of 177
unique makes and models were
available for purchase by 52
manufacturers in Classes 3–8. In MY
2021, EPA certified 1,163 heavy-duty
BEVs, representing 0.2 percent of the
HD vehicles. There were no HD FCEVs
certified through MY 2021. We note that
these HD BEV certifications preceded
implementation of incentives in the
2022 IRA, which we expect to increase
adoption (and certification) of BEV and
FCEV technology in the heavy-duty
sector.
Based on current trends, manufacturer
announcements, the 2021 BIL and 2022
IRA, and state-level actions,
electrification of the HD market is
97 Heavy Duty Trucking. ‘‘Pennsylvania Flatbed
Carrier to Lease 100 Nikola Tre FCEVs.’’ HDT
Truckinginfo. October 14, 2021. Available online:
https://www.truckinginfo.com/10153974/
pennsylvania-flatbed-carrier-to-lease-100-nikolatre-evs.
98 Green Car Congress. ‘‘Covenant Logistics Group
signs letter of intent for 10 Nikola Tre BEVs and 40
Tre FCEVs.’’ January 12, 2022. Available online:
https://www.greencarcongress.com/2022/01/
20220112-covenant.html.
99 Adler, Alan. ‘‘Plug Power will buy up to 75
Nikola fuel cell trucks.’’ Freightwaves. December
15, 2022. Available online; https://
www.freightwaves.com/news/plug-power-will-buyup-to-75-nikola-fuel-cell-trucks.
100 Nikola. ‘‘Nikola Corportation Celebrates the
Customer Launch of Serial Production in Coolidge,
Arizona.’’ April 27, 2022. Available online: https://
nikolamotor.com/press_releases/nikolacorporation-celebrates-the-customer-launch-ofserial-production-in-coolidge-arizona-163#:∼:text=
Phase%201%20of%20the%20Coolidge,
per%20year%20on%20two%20shifts.
101 Memo to Docket. Heavy-Duty Greenhouse Gas
Emissions Certification Data. March 2023. Docket
EPA–HQ–OAR–2022–0985.
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expected to substantially increase over
the next decade from current levels. The
projected rate of growth in
electrification of the HD vehicle sector
currently varies widely. After passage of
the IRA, EDF’s September 2022 report
update projected deployments and
major orders of electric trucks and buses
to rise to 166,000 by the end of 2022.102
ERM updated an analysis for EDF that
projected five scenarios that span a
range of between 13 and 48 percent
Class 4–8 ZEV sales in 2029, with an
average of 29 percent.103 The
International Council for Clean
Transportation (ICCT) and Energy
Innovation conducted an analysis of the
impact of the IRA on electric vehicle
uptake, projecting between 39 and 48
percent Class 4–8 ZEV sales in 2030
across three scenarios and between 47
and 56 percent in 2035.104
One of the most important factors
influencing the extent to which BEVs
are available for purchase and able to
enter the market is the cost of lithiumion batteries, the single most expensive
component of a BEV. According to
Bloomberg New Energy Finance,
average lithium-ion battery costs have
decreased by more than 85 percent since
2010, primarily due to global
investments in battery production and
ongoing improvements in battery
technology.105 A number of studies,
including the Sharpe and Basma metastudy of direct manufacturing costs from
a variety of papers, show that battery
pack costs are projected to continue to
fall during this decade.106 107 108 Cost
102 Environmental Defense Fund. ‘‘Electric
Vehicle Market Update: Manufacturer
Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and
Worldwide’’. September 2022. Available online:
https://blogs.edf.org/climate411/files/2022/09/ERMEDF-Electric-Vehicle-Market-Report_
September2022.pdf.
103 Robo, Ellen and Dave Seamonds. Technical
Memo to Environmental Defense Fund: Investment
Reduction Act Supplemental Assessment: Analysis
of Alternative Medium- and Heavy-Duty ZeroEmission Vehicle Business-As-Usual Scenarios.
ERM. August 19, 2022. Available online: https://
www.erm.com/contentassets/154d08e0d06
74752925cd82c66b3e2b1/edf-zev-baselinetechnical-memo-addendum.pdf.
104 ICCT and Energy Innovation. ‘‘Analyzing the
Impact of the Inflation Reduction Act on Electric
Vehicle Uptake in the United States’’. January 2023.
Available online: https://theicct.org/wp-content/
uploads/2023/01/ira-impact-evs-us-jan23-2.pdf.
105 Bloomberg. ‘‘Battery Pack Prices Cited Below
$100/kWh for the First Time in 2020, While Market
Average Sits at $137/kWh’’. Available online:
https://about.bnef.com/blog/battery-pack-pricescited-below-100-kwh-for-the-first-time-in-2020while-market-average-sits-at-137-kwh/.
106 Mulholland, Eamonn. ‘‘Cost of electric
commercial vans and pickup trucks in the United
States through 2040.’’ Page 7. January 2022.
Available at https://theicct.org/wp-content/uploads/
2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
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reductions in battery packs for electric
trucks are anticipated due to continued
improvement of cell and battery pack
performance and advancements in
technology associated with energy
density, materials for cells, and battery
packaging and integration.109
Currently, the fuel cell stack is the
most expensive component of a HD
FCEV, due primarily to the
technological requirements of
manufacturing rather than raw material
costs.110 Projected costs are expected to
decrease as manufacturing matures and
materials improve.111 Larger production
volumes are anticipated as global
demand increases for fuel cell systems
for HD vehicles, which would improve
economies of scale.112 Costs of the
onboard hydrogen storage tank, another
component unique to a FCEV, are also
projected to drop due to lighter weight
and lower cost carbon fiber-reinforced
materials, technology improvements,
and economies of scale.113
As the cost of components has come
down, manufacturers have increasingly
announced their projections for zeroemission HD vehicles, and these
projections signify a rapid increase in
BEVs and FCEVs over the next decade.
For example, Volvo Trucks and Scania
announced a global electrification target
of 50 percent of trucks sold being
electric by 2030.114 Daimler Trucks
107 Environmental Defense Fund. ‘‘Technical
Review of Medium- and Heavy-Duty Electrification
Costs for 2027–2030.’’ February 2, 2022. Available
online: https://blogs.edf.org/climate411/files/2022/
02/EDF-MDHD-Electrification-v1.6_20220209.pdf.
108 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation,
Working Paper 2022–09 (February 2022). Available
online: https://theicct.org/wp-content/uploads/
2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
109 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation.
https://theicct.org/wp-content/uploads/2022/02/
purchase-cost-ze-trucks-feb22-1.pdf.
110 Deloitte China. ‘‘Fueling the Future of
Mobility: Hydrogen and fuel cell solutions for
transportation, Volume 1’’. 2020. Available online:
https://www2.deloitte.com/content/dam/Deloitte/
cn/Documents/finance/deloitte-cn-fueling-thefuture-of-mobility-en-200101.pdf.
111 Sharpe, Ben and Hussein Basma. ‘‘A MetaStudy of Purchase Costs for Zero-Emission Trucks’’.
The International Council on Clean Transportation.
February 2022. Available online: https://theicct.org/
wp-content/uploads/2022/02/purchase-cost-zetrucks-feb22-1.pdf.
112 Deloitte China. ‘‘Fueling the Future of
Mobility: Hydrogen and fuel cell solutions for
transportation, Volume 1’’. 2020. Available online:
https://www2.deloitte.com/content/dam/Deloitte/
cn/Documents/finance/deloitte-cn-fueling-thefuture-of-mobility-en-200101.pdf.
113 Ibid.
114 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html; AB
Volvo, ‘Volvo Trucks Launches Electric Truck with
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North America has committed to
offering only what they refer to as
‘‘carbon-neutral’’ trucks in the United
States. by 2039 and expects that by 2030
as much as 60 percent of its sales will
be ZEVs.115 116 Navistar has a goal of
having 50 percent of its sales volume be
ZEVs by 2030, and it has committed to
achieve 100 percent zero emissions by
2040.117 Cummins targets net-zero
carbon emissions by 2050.118 119
On a parallel path, large private HD
fleet owners are also increasingly
committing to expanding their electric
fleets.120 A report by the International
Energy Agency (IEA) provides a
comprehensive accounting of recent
announcements made by UPS, FedEx,
DHL, Walmart, Anheuser-Busch,
Amazon, and PepsiCo for fleet
electrification.121 Amazon and UPS, for
example, placed orders in 2020 for
10,000 BEV delivery vans from EV startups Rivian and Arrival, respectively,
and Amazon has plans to scale up to
100,000 BEV vans by 2030.122 123
Longer Range,’ Volvo Group, January 14, 2022,
https://www.volvogroup.com/en/news-and-media/
news/2022/jan/news-4158927.html.
115 David Cullen, ‘Daimler to Offer Carbon
Neutral Trucks by 2039,’ (October 25, 2019). https://
www.truckinginfo.com/343243/daimler-aims-tooffer-only-co2-neutral-trucks-by-2039-in-keymarkets.
116 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://www.truckinginfo.
com/10155922/what-does-daimler-truck-spin-offmean-for-north-america.
117 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
118 Cummins, Inc. ‘‘Cummins Unveils New
Environmental Sustainability Strategy to Address
Climate Change, Conserve Natural Resources.’’
November 14, 2019. Last accessed on September 10,
2021 at https://www.cummins.com/news/releases/
2019/11/14/cummins-unveils-new-environmentalsustainability-strategy-address-climate.
119 Environmental Defense Fund (2022)
September 2022 Electric Vehicle Market Update:
Manufacturer Commitments and Public Policy
Initiatives Supporting Electric Mobility in the U.S.
and Worldwide, available online at: https://
blogs.edf.org/climate411/files/2022/09/ERM-EDFElectric-Vehicle-Market-Report_September2022.pdf.
120 Environmental Defense Fund (2021) EDF
analysis finds American fleets are embracing
electric trucks. July 28, 2021. Available online at:
https://blogs.edf.org/energyexchange/2021/07/28/
edf-analysis-finds-american-fleets-are-embracingelectric-trucks/.
121 International Energy Association. Global EV
Outlook 2021. April 2021. Available online at:
https://iea.blob.core.windows.net/assets/ed5f4484f556-4110-8c5c-4ede8bcba637/GlobalEVOutlook
2021.pdf.
122 Amazon, Inc. ‘‘Introducing Amazon’s first
custom electric delivery vehicle.’’ October 8, 2020.
Last accessed on October 18, 2022 at https://
www.aboutamazon.com/news/transportation/
introducing-amazons-first-custom-electric-deliveryvehicle.
123 Arrival Ltd. ‘‘UPS invests in Arrival and
orders 10,000 Generation 2 Electric Vehicles.’’ April
24, 2020. Last accessed on October 18, 2022 at
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Likewise, in December 2022, PepsiCo
added the first of 100 planned Tesla
Semis to its fleet.124 These
announcements include not only orders
for electric delivery vans and semitrucks, but more specific targets and
dates to full electrification or net-zero
emissions. Amazon, FedEx, DHL, and
Walmart have set a commitment to fleet
electrification and/or achieving net-zero
emissions by 2040.125 126 127 128 We
recognize that certain delivery vans will
likely fall into the Class 2b and 3
regulatory category, the vast majority of
which are not covered in this rule’s
proposed updates; we intend to address
this category in a separate light and
medium-duty vehicle rulemaking.129
Amazon and Walmart are among
fleets owners and operators that are also
considering hydrogen. Amazon signed
https://arrival.com/us/en/news/ups-invests-inarrival-and-orders-10000-generation-2-electricvehicles.
124 Akash Sriram. ‘‘Musk delivers first Tesla
truck, but no update on output, pricing.’’ Reuters.
December 2, 2022. Last accessed on January 4, 2023
at https://www.reuters.com/business/autostransportation/musk-delivers-first-tesla-semitrucks-2022-12-02/.
125 Robo, Ellen and Dave Seamonds. Technical
Memo to Environmental Defense Fund: Investment
Reduction Act Supplemental Assessment: Analysis
of Alternative Medium- and Heavy-Duty ZeroEmission Vehicle Business-As-Usual Scenarios.
ERM. August 19, 2022. Available online: https://
www.erm.com/contentassets/154d08e
0d0674752925cd82c66b3e2b1/edf-zev-baselinetechnical-memo-addendum.pdf.
126 FedEx Corp. ‘‘FedEx Commits to CarbonNeutral Operations by 2040.’’ March 3, 2021. Last
accessed on October 18, 2022 at https://
newsroom.fedex.com/newsroom/asia-english/
sustainability2021.
127 Deutsche Post DHL Group. ‘‘Zero emissions by
2050: DHL announces ambitious new
environmental protection target.’’ March 2017. Last
accessed on October 18, 2022 at https://
www.dhl.com/global-en/delivered/sustainability/
zero-emissions-by-2050.html.
128 Walmart Inc. ‘‘Walmart Sets Goal to Become
a Regenerative Company.’’ September 21, 2020. Last
accessed on October 18, 2022 at https://
corporate.walmart.com/newsroom/2020/09/21/
walmart-sets-goal-to-become-a-regenerativecompany.
129 Complete heavy-duty vehicles at or below
14,000 pounds. GVWR are chassis-certified under
40 CFR part 86, while incomplete vehicles at or
below 14,000 pounds. GVWR may be certified to
either 40 CFR part 86 (meeting standards under
subpart S) or 40 CFR part 1037 (installed engines
would then need to be certified under 40 CFR part
1036). Class 2b and 3 vehicles are primarily chassiscertified complete commercial pickup trucks and
vans. We intend to pursue a combined light-duty
and medium-duty rulemaking to set more stringent
standards for complete and incomplete vehicles at
or below 14,000 pounds. GVWR that are certified
under 40 CFR part 86, subpart S. The standards
proposed in this rule would apply for all heavyduty vehicles above 14,000 pounds. GVWR, except
as noted in 40 CFR 1037.150(l). The proposed
standards in this rule would also apply for
incomplete heavy-duty vehicles at or below 14,000
pounds. GVWR if vehicle manufacturers opt to
certify those vehicles under 40 CFR part 1037
instead of certifying under 40 CFR part 86, subpart
S.
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an agreement with Plug Power,130 a
company building an end-to-end
hydrogen ecosystem, to supply
hydrogen for up to 800 HD long-haul
trucks or 30,000 forklifts (which are
commonly powered using hydrogen)
starting in 2025 through 2040.131
Walmart is purchasing hydrogen from
Plug Power 132 and plans to expand
pilots of fuel cell forklifts, yard trucks,
and possibly HD long-haul trucks by
2040.133 Plug Power has agreed to
purchase up to 75 Nikola Class 8 fuel
cell trucks over the next three years in
exchange for supplying the company
with hydrogen fuel.134
The lifetime total cost of ownership
(TCO), which includes maintenance and
fuel costs, is likely a primary factor for
HD vehicle and fleet owners considering
BEV and FCEV purchases. In fact, a
2018 survey of fleet owners showed
‘‘lower cost of ownership’’ as the second
most important motivator for
electrifying their fleet.135 An ICCT
analysis from 2019 suggests that TCO
for light and medium heavy-duty BEVs
could reach cost parity with comparable
diesel ICE vehicles in the early 2020s,
while heavy HD BEVs and FCEVs are
likely to reach cost parity with
comparable diesel ICE vehicles closer to
the 2030 timeframe.136 Recent findings
from Phadke et al. suggest that BEV TCO
could be 13 percent less than that of a
comparable diesel ICE vehicle if
electricity pricing is optimized.137
130 Plug Power. ‘‘Plug and Amazon Sign Green
Hydrogen Agreement’’. Available online: https://
www.ir.plugpower.com/press-releases/news-details/
2022/Plug-and-Amazon-Sign-Green-HydrogenAgreement/default.aspx.
131 Amazon. ‘‘Amazon adopts green hydrogen to
help decarbonize its operations’’. August 25, 2022.
Available online: https://www.aboutamazon.com/
news/sustainability/amazon-adopts-greenhydrogen-to-help-decarbonize-its-operations.
132 Plug Power. ‘‘Plug Supplies Walmart with
Green Hydrogen to Fuel Retailer’s Fleet of Material
Handling Lift Trucks’’. April 19, 2022. Available
online: https://www.ir.plugpower.com/pressreleases/news-details/2022/Plug-Supplies-Walmartwith-Green-Hydrogen-to-Fuel-Retailers-Fleet-ofMaterial-Handling-Lift-Trucks/default.aspx.
133 Proactive. ‘‘WalMart eyes benefits of hydrogen
delivery vehicles in wider trials’’. Proactive 13:17.
June 8, 2022. Available online: https://
www.proactiveinvestors.co.uk/companies/news/
984360/walmart-eyes-benefits-of-hydrogen-deliveryvehicles-in-wider-trials-984360.html.
134 Adler, Alan. ‘‘Plug Power will buy up to 75
Nikola fuel cell trucks’’. Freightwaves. December
15, 2022. Available online: https://
www.freightwaves.com/news/plug-power-will-buyup-to-75-nikola-fuel-cell-trucks.
135 The primary motivator for fleet managers was
‘‘Sustainability and environmental goals’’; the
survey was conducted by UPS and GreenBiz.
136 ICCT (2019) ‘‘Estimating the infrastructure
needs and costs for the launch of zero-emissions
trucks’’; available online at: https://theicct.org/
publications/zero-emission-truck-infrastructure.
137 Phadke, A., et. al. (2021) ‘‘Why Regional and
Long-Haul Trucks are Primed for Electrification
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These studies do not consider the IRA.
The Rocky Mountain Institute found
that because of the IRA, the TCO of
electric trucks will be lower than the
TCO of comparable diesel trucks about
five years faster than without the IRA.
They expect cost parity as soon as 2023
for urban and regional duty cycles that
travel up to 250 miles and 2027 for longhauls that travel over 250 miles.138
As the ICCT and Phadke et al. studies
suggest, fuel costs are an important part
of TCO. While assumptions about
vehicle weight and size can make direct
comparisons between HD ZEVs and ICE
vehicles challenging, data show greater
energy efficiency of battery-electric and
fuel cell technology relative to ICE
technologies.139 140 Better energy
efficiency leads to lower electricity or
hydrogen fuel costs for ZEVs relative to
ICE fuel costs.141 142 Maintenance and
service costs are also an important
component within TCO; although there
is limited data available on actual
maintenance costs for HD ZEVs, early
experience with BEV medium HD
vehicles and transit buses suggests the
potential for lower maintenance costs
after an initial period of learning to
refine both component durability and
maintenance procedures.143 We expect
similar trends for FCEVs, as discussed
in Chapter 2 of the DRIA. To facilitate
HD fleets transitioning to ZEVs, some
manufacturers are currently including
maintenance in leasing agreements with
fleets; it is unclear the extent to which
a full-service leasing model will persist
or will be transitioned to a more
Now’’; available online at: https://etapublications.lbl.gov/sites/default/files/updated_5_
final_ehdv_report_033121.pdf.
138 Kahn, Ari, et. al. ‘‘The Inflation Reduction Act
Will Help Electrify Heavy-Duty Trucking’’. Rocky
Mountain Institute. August 25, 2022. Available
online: https://rmi.org/inflation-reduction-act-willhelp-electrify-heavy-duty-trucking/.
139 NACFE (2019) ‘‘Guidance Report: Viable Class
7/8 Electric, Hybrid and Alternative Fuel Tractors’’,
available online at: https://nacfe.org/downloads/
viable-class-7-8-alternative-vehicles/.
140 Nadel, S. and Junga, E. (2020) ‘‘Electrifying
Trucks: From Delivery Vans to Buses to 18Wheelers’’. American Council for an EnergyEfficient Economy White Paper, available online at:
https://aceee.org/white-paper/electrifying-trucksdelivery-vans-buses-18.
141 NACFE (2019) ‘‘Guidance Report: Viable Class
7/8 Electric, Hybrid and Alternative Fuel Tractors’’,
available online at: https://nacfe.org/downloads/
viable-class-7-8-alternative-vehicles/.
142 Nadel, S. and Junga, E. (2020) ‘‘Electrifying
Trucks: From Delivery Vans to Buses to 18Wheelers’’. American Council for an EnergyEfficient Economy White Paper, available online at:
https://aceee.org/white-paper/electrifying-trucksdelivery-vans-buses-18.
143 U.S. Department of Energy Alternative Fuels
Data Center (AFDC), ‘‘Developing Infrastructure to
Charge Plug-In Electric Vehicles’’, https://
afdc.energy.gov/fuels/electricity_infrastructure.html
(accessed 2–27–20).
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traditional purchase model after an
initial period of learning.144 145
The growth in incentive programs
will continue to play an important role
in the HD ZEV market. For example, as
discussed in more detail in this section,
FHWA-approved plans providing $1.5
billion in funding for expanding
charging on over 75,000 miles of
highway encourages states to consider
station designs and power levels that
could support heavy-duty vehicles. In a
2017 survey of fleet managers, upfront
purchase price was listed as the primary
barrier to HD fleet electrification. This
suggests that federal incentive programs
like those in the BIL and IRA (discussed
in Section I.C.2) to offset ZEV purchase
costs, as well as state and local
incentives and investments, can be
influential in the near term, with
improvements in BEV and FCEV
component costs playing an increasing
role in reducing costs in the longer
term.146 147 For example, BEV incentive
programs for transit and school buses
have experienced growth and are
projected to continue to influence BEV
markets. The Los Angeles Department of
Transportation (LADOT) is one of the
first transit organizations in the country
to develop a program committed to
transitioning its transit fleets to ZEVs by
2030—a target that is 10 years sooner
than CARB’s Innovative Clean
Transportation (ICT) regulation
requiring all public transit to be electric
by 2040.148 Since these announcements,
LADOT has purchased 27 BEV transit
and school buses from BYD and
Proterra; by 2030, the number of BEV
buses in the LADOT fleet is expected to
grow to 492 buses. Outside of California,
major metropolitan areas including
Chicago, Seattle, New York City, and
Washington, DC, have zero-emissions
144 Fisher, J. (2019) ‘‘Volvo’s First Electric VNR
Ready for the Road.’’ Fleet Owner, September 17.
www.fleetowner.com/blue-fleets/volvo-s-firstelectric-vnr-ready-road.
145 Gnaticov, C. (2018). ‘‘Nikola One Hydrogen
Electric Semi Hits the Road in Official Film.’’
Carscoops, Jan. 26. www.carscoops.com/2018/01/
nikola-one-hydrogen-electric-semi-hits-roadofficial-film/.
146 Other barriers that fleet managers prioritized
for fleet electrification included: Inadequate
charging infrastructure—our facilities, inadequate
product availability, inadequate charging
infrastructure—public; for the full list of top
barriers see Nadel and Junga (2020), citing UPS and
GreenBiz 2018.
147 Nadel, S. and Junga, E. (2020) ‘‘Electrifying
Trucks: From Delivery Vans to Buses to 18Wheelers’’. American Council for an EnergyEfficient Economy White Paper, available online at:
https://aceee.org/white-paper/electrifying-trucksdelivery-vans-buses-18.
148 LADOT, (2020). ‘‘LADOT Transit ZeroEmission Bus Rollout Plan’’ https://ww2.arb.ca.gov/
sites/default/files/2020-12/LADOT_ROP_Reso_
ADA12172020.pdf.
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transit programs with 100 percent ZEV
target dates ranging from 2040 to
2045.149 150 151 152 EV school bus
programs, frequently in partnership
with local utilities, are also being
piloted across the country and are
expanding under EPA’s Clean School
Bus Program (CSB).153 These programs
initially included school districts in, but
not limited to, California, Virginia,
Massachusetts, Michigan, Maryland,
Illinois, New York, and
Pennsylvania.154 155 156 157 158 Going
forward, they will continue to expand
with BIL funding of over $5 billion over
the next five years (FY 2022–2026) to
replace existing school buses with zeroemission and low-emission models, as
discussed more in Section I.C.2.
In summary, the HD ZEV market is
growing rapidly, and ZEV technologies
are expected to expand to many
applications across the HD sector. As
the industry is dynamic and changing
rapidly, the examples presented here
represent only a sampling of the ZEV
HD investment policies and markets.
149 Sustainable Bus. ‘‘CTA Chicago tests electric
buses and pursues 100% e-fleet by 2040’’. April 29,
2021. Available online: https://www.sustainablebus.com/electric-bus/cta-chicago-electric-buses/.
150 Pascale, Jordan. ‘‘Metro Approves Plans For
Fully Electric Bus Fleet By 2045’’. DCist. June 10,
2021. Available online: https://dcist.com/story/21/
06/10/metro-goal-entirely-electric-bus-fleet-2045/.
151 King County Metro. ‘‘Transitioning to a zeroemissions fleet’’. Available online: https://
kingcounty.gov/depts/transportation/metro/
programs-projects/innovation-technology/zeroemission-fleet.aspx.
152 Hallum, Mark. ‘‘MTA’s recent purchase of zero
emissions buses will be 33% bigger than expected’’.
AMNY. May 25, 2021. Available online: https://
www.amny.com/transit/mta-says-45-to-60-morebuses-in-recent-procurement-will-be-zeroemissions/.
153 U.S. Environmental Protection Agency. ‘‘Clean
School Bus Program’’. Available online: https://
www.epa.gov/cleanschoolbus.
154 Commonwealth of Massachusetts. ‘‘EV
Programs & Incentives’’. Available online: https://
www.mass.gov/info-details/ev-programs-incentives.
155 Morris, Charles. ‘‘NYC’s new school bus
contract includes electric bus pilot’’. Charged—
Electric Vehicles Magazine. July 7, 2021. Available
online: https://chargedevs.com/newswire/nycs-newschool-bus-contract-includes-electric-bus-pilot/.
156 Soneji, Hitesh, et. al. ‘‘Pittsburg USD Electric
School Bus Final Project Report’’. Olivine, Inc.
September 23, 2020. Available online: https://
olivineinc.com/wp-content/uploads/2020/10/
Pittsburg-USD-Electric-School-Bus-Final-ProjectReport-Final.pdf.
157 Shahan, Cynthia. ‘‘Largest Electric School Bus
Program in United States Launching in Virginia’’.
CleanTechnica. January 12, 2020. Available online:
https://cleantechnica.com/2020/01/12/largestelectric-school-bus-program-in-united-stateslaunching-in-virginia/.
158 St. John, Jeff. ‘‘Highland Electric Raises
$235M, Lands Biggest Electric School Bus Contract
in the US’’. gtm. February 25, 2021. Available
online: https://www.greentechmedia.com/articles/
read/on-heels-of-253m-raise-highland-electriclands-biggest-electric-school-bus-contract-in-theu.s.
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DRIA Chapter 1 provides a more
detailed characterization of the HD ZEV
technologies in the current and
projected ZEV market. We request
comment on our assessment of the HD
ZEV market and any additional data
sources we should consider.
2. Bipartisan Infrastructure Law and
Inflation Reduction Act
i. BIL
The BIL 159 was enacted on November
15, 2021, and contains provisions to
support the deployment of low- and
zero-emission transit buses, school
buses, and trucks that service ports, as
well as electric vehicle charging
infrastructure and hydrogen. These
provisions include Section 71101
funding for EPA’s Clean School Bus
Program,160 with $5 billion to fund the
replacement of ICE school buses with
clean and zero-emission buses over the
next five years. In its first phase of
funding for the Clean School Bus
Program, EPA is issuing nearly $1
billion in rebates (up to a maximum of
$375,000 per bus, depending on the bus
fuel type, bus size, and school district
prioritization status) 161 for replacement
clean and zero-emission buses and
associated infrastructure costs.162 163 The
BIL also includes funding for DOT’s
Federal Transit Administration (FTA)
Low- or No-Emission Grant Program,164
with over $5.6 billion over the next five
years to support the purchase of zero- or
low-emission transit buses and
associated infrastructure.165
The BIL includes up to $7.5 billion to
help build out a national network of EV
159 United States, Congress. Public Law 117–58.
Infrastructure Investment and Jobs Act of 2021.
Congress.gov, www.congress.gov/bill/117thcongress/house-bill/3684/text. 117th Congress,
House Resolution 3684, passed 15 Nov. 2021.
160 U.S. Environmental Protection Agency. ‘‘Clean
School Bus Program’’. Available online: https://
www.epa.gov/cleanschoolbus.
161 U.S. Environmental Protection Agency. ‘‘2022
Clean School Bus (CSB) Rebates Program Guide’’.
May 2022. Available online: https://nepis.epa.gov/
Exe/ZyPDF.cgi/P1014WNH.PDF?Dockey=
P1014WNH.PDF.
162 Some recipients are able to claim up to
$20,000 per bus for charging infrastructure.
163 U.S. Environmental Protection Agency, ‘‘EPA
Clean School Bus Program Second Report to
Congress Fiscal Year 2022,’’ EPA–420–R–23–002,
February 2023. Available online: https://
www.epa.gov/system/files/documents/2023-02/
420r23002.pdf (last accessed February 9, 2023).
164 U.S. Department of Transportation, Federal
Transit Administration. ‘‘Low or No Emission
Vehicle Program—5339(c)’’. Available online:
https://www.transit.dot.gov/lowno (last accessed
February 10, 2023).
165 U.S. Department of Transportation, Federal
Transit Administration. ‘‘Bipartisan Infrastructure
Law Fact Sheet: Grants for Buses and Bus
Facilities’’. Available online: https://
www.transit.dot.gov/funding/grants/fact-sheetbuses-and-bus-facilities-program (last accessed
February 10, 2023).
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charging and hydrogen fueling through
DOT’s Federal Highway Administration
(FHWA). This includes $2.5 billion in
discretionary grant programs for
charging and fueling infrastructure 166
along designated alternative fuel
corridors and in communities (Section
11401) 167 and $5 billion for the
National Electric Vehicle Infrastructure
(NEVI) Formula Program (under
Division J, Title VIII).168 In September
2022, the FHWA approved the first set
of plans for the NEVI program covering
all 50 states, Washington, DC, and
Puerto Rico. The approved plans
provide $1.5 billion in funding for fiscal
years (FY) 2022 and 2023 to expand
charging on over 75,000 miles of
highway.169 While jurisdictions are not
required to build stations specifically
for heavy-duty vehicles, FHWA’s
guidance encourages states to consider
station designs and power levels that
could support heavy-duty vehicles.170
The BIL funds other programs that
could support HD vehicle
electrification. For example, there is
continued funding of the Congestion
Mitigation and Air Quality (CMAQ)
Improvement Program, with more than
$2.5 billion authorized for FY 2022
through FY 2026. The BIL (Section
11115) amended the CMAQ
Improvement Program to add, among
other things, ‘‘the purchase of mediumor heavy-duty zero emission vehicles
and related charging equipment’’ to the
list of activities eligible for funding. The
BIL establishes a program under Section
11402 ‘‘Reduction of Truck Emissions at
Port Facilities’’ that includes grants to
be administered through FHWA aimed
166 Fueling infrastructure includes hydrogen,
propane, and natural gas.
167 U.S. Department of Transportation, Federal
Highway Administration, ‘‘The National Electric
Vehicle Infrastructure (NEVI) Formula Program
Guidance,’’ February 10, 2022. Available online:
https://www.fhwa.dot.gov/environment/alternative_
fuel_corridors/nominations/90d_nevi_formula_
program_guidance.pdf (last accessed February 10,
2023).
168 U.S. Department of Transportation, Federal
Highway Administration. ‘‘Bipartisan Infrastructure
Law, Fact Sheets: National Electric Vehicle
Infrastructure Formula Program’’. February 10,
2022. Available online: https://www.fhwa.dot.gov/
bipartisan-infrastructure-law/nevi_formula_
program.cfm.
169 U.S. Department of Transportation. ‘‘Historic
Step: All Fifty States Plus DC and Puerto Rico
Grenlit to Move EV Charging Networks Forward,
Covering 75,000 miles of Highway’’. Available
online: https://www.transportation.gov/briefingroom/historic-step-all-fifty-states-plus-dc-andpuerto-rico-greenlit-move-ev-charging.
170 U.S. Department of Transportation, Federal
Highway Administration. ‘‘National Electric
Vehicle Infrastructure Formula Program: Bipartisan
Infrastructure Law—Program Guidance’’. February
10, 2022. Available online: https://
www.fhwa.dot.gov/environment/alternative_fuel_
corridors/nominations/90d_nevi_formula_program_
guidance.pdf.
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at reducing port emissions, including
through electrification. In addition, the
BIL includes funding for DOT’s
Maritime Administration (MARAD) Port
Infrastructure Development Program; 171
and DOT’s Federal Highway
Administration (FHWA) Carbon
Reduction Program.172
The BIL also targets batteries used for
electric vehicles. It funds DOE’s Battery
Materials Processing and Battery
Manufacturing program,173 which grants
funds to promote U.S. processing and
manufacturing of batteries for
automotive and electric grid use through
demonstration projects, the construction
of new facilities, and the retooling,
retrofitting, and expansion of existing
facilities. This includes a total of $3
billion for battery material processing
and $3 billion for battery manufacturing
and recycling, with additional funding
for a lithium-ion battery recycling prize
competition, research and development
activities in battery recycling, state and
local programs, and the development of
a collection system for used batteries. In
addition, the BIL includes $200 million
for the Electric Drive Vehicle Battery
Recycling and Second-Life Application
Program for research, development, and
demonstration of battery recycling and
second-life applications.
Hydrogen provisions of the BIL
include funding for several programs to
accelerate progress towards the
Hydrogen Shot goal, launched on June
7, 2021, to reduce the cost of clean
hydrogen 174 production by 80 percent
to $1 for 1 kg in 1 decade 175 and
171 U.S. Department of Transportation, Maritime
Administration. ‘‘Bipartisan Infrastructure Law:
Maritime Administration’’. Available online:
https://www.maritime.dot.gov/about-us/bipartisaninfrastructure-law-maritime-administration.
172 U.S. Department of Transportation, Federal
Highway Administration. ‘‘Bipartisan Infrastructure
Law, Fact Sheets: Carbon Reduction Program
(CRP)’’. April 20, 2022. Available online: https://
www.fhwa.dot.gov/bipartisan-infrastructure-law/
crp_fact_sheet.cfm.
173 U.S. Department of Energy. ‘‘Biden
Administration Announces $3.16 Billion From
Bipartisan Infrastructure Law to Boost Domestic
Battery Manufacturing and Supply Chains. May 2,
2022. Available online: https://www.energy.gov/
articles/biden-administration-announces-316billion-bipartisan-infrastructure-law-boostdomestic.
174 The BIL defines ‘‘clean hydrogen’’ as hydrogen
produced in compliance with the GHG emissions
standard established under 42 U.S. Code section
16166(a), including production from any fuel
source, where the standard developed shall define
the term to mean hydrogen produced with a carbon
intensity equal to or less than 2 kilograms of carbon
dioxide-equivalent produced at the site of
production per kilogram of hydrogen produced.
175 Satyapal, Sunita. ‘‘2022 AMR Plenary
Session’’. U.S. Department of Energy, Hydrogen and
Fuel Cell Technologies Office. June 6, 2022.
Available online: https://www.energy.gov/sites/
default/files/2022-06/hfto-amr-plenary-satyapal2022-1.pdf.
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jumpstart the hydrogen market in the
United States. This includes $8 billion
for the Department of Energy’s Regional
Clean Hydrogen Hubs Program to
establish networks of clean hydrogen
producers, potential consumers, and
connective infrastructure in close
proximity; $1 billion for a Clean
Hydrogen Electrolysis Program; and
$500 million for Clean Hydrogen
Manufacturing and Recycling
Initiatives.176 The BIL also called for
development of a Clean Hydrogen
Production Standard to guide DOE hub
and Research, Development,
Deployment, and Diffusion (RDD&D)
actions; and a National Clean Hydrogen
Strategy and Roadmap to facilitate
widescale production, processing,
delivery, storage, and use of clean
hydrogen. These BIL programs are
currently under development, and
further details are expected over the
course of calendar year (CY) 2023.
ii. IRA Sections 13502 and 13403
The IRA,177 which was enacted on
August 16, 2022, contains several
provisions relevant to vehicle
electrification and the associated
infrastructure via tax credits, grants,
rebates, and loans through CY 2032,
including two key provisions that
provide a tax credit to reduce the cost
of producing qualified batteries (battery
tax credit) and to reduce the cost of
purchasing qualified ZEVs (vehicle tax
credit). The battery tax credit in
‘‘Advanced Manufacturing Production
Credit’’ in IRA section 13502 and the
‘‘Qualified Commercial Clean Vehicles’’
vehicle tax credit in IRA section 13403
are included quantitatively in our
analysis.
IRA section 13502, ‘‘Advanced
Manufacturing Production Credit,’’
provides tax credits for the production
and sale of battery cells and modules of
up to $45 per kilowatt-hour (kWh), and
for 10 percent of the cost of producing
applicable critical minerals (including
those found in batteries and fuel cells,
provided that the minerals meet certain
specifications), when such components
or minerals are produced in the United
States. These credits begin in CY 2023
and phase down starting in CY 2030,
ending after CY 2032. With projected
direct manufacturing costs for heavy176 U.S. Department of Energy. ‘‘DOE Establishes
Bipartisan Infrastructure Law’s $9.5 Billion Clean
Hydrogen Initiatives’’. February 15, 2022. Available
online: https://www.energy.gov/articles/doeestablishes-bipartisan-infrastructure-laws-95billion-clean-hydrogen-initiatives.
177 Inflation Reduction Act of 2022, Public Law
117–169, 136 Stat. 1818 (2022) (‘‘Inflation
Reduction Act’’ or ‘‘IRA’’), available at https://
www.congress.gov/117/bills/hr5376/BILLS117hr5376enr.pdf.
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duty vehicle batteries on the order of
$65 to $275/kWh in the 2025–2030
timeframe,178 this tax credit has the
potential to noticeably reduce the cost
of qualifying batteries and, by extension,
the cost of BEVs and FCEVs with
qualifying batteries. We did not include
a detailed cost breakdown of fuel cells
quantitatively in our analysis, but the
potential impact on fuel cells may also
be significant because platinum (an
applicable critical mineral commonly
used in fuel cells) is a major contributor
to the cost of fuel cells.179
We limited our assessment of this tax
credit in our DRIA Chapter 2 analysis to
the tax credits for battery cells and
modules. Pursuant to the IRA,
qualifying battery cells must have an
energy density of not less than 100 watthours per liter, and we expect that
batteries for heavy-duty BEVs and
FCEVs will exceed this requirement as
described in DRIA Chapter 2.4.2.2.
Qualifying battery cells must be capable
of storing at least 12 watt-hours of
energy and qualifying battery modules
must have an aggregate capacity of not
less than 7 kWh (or, for FCEVs, not less
than 1 kWh); typical battery cells and
modules for motor vehicles also exceed
these requirements.180 Additionally, the
ratio of the capacity of qualifying cells
and modules to their maximum
discharge amount shall not exceed
100:1. We expect that battery cells and
modules in heavy-duty BEVs and FCEVs
will also meet this requirement because
the high costs and weight of the
batteries and the competitiveness of the
heavy-duty industry will pressure
manufacturers to allow as much of their
batteries to be useable as possible. We
did not consider the tax credits for
critical minerals quantitatively in our
analysis. However, we note that any
applicability of the critical mineral tax
credit may further reduce the costs of
batteries.
We included this battery tax credit by
reducing the direct manufacturing costs
178 Sharpe, B., Basma, H. ‘‘A meta-study of
purchase costs for zero-emission trucks’’.
International Council on Clean Transportation.
February 17, 2022. Available online: https://
theicct.org/wp-content/uploads/2022/02/purchasecost-ze-trucks-feb22-1.pdf.
179 Leader, Alexandra & Gaustad, Gabrielle &
Babbitt, Callie. (2019). The effect of critical material
prices on the competitiveness of clean energy
technologies. Materials for Renewable and
Sustainable Energy. 8. 10.1007/s40243–019–0146–z.
180 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
Contract ANL/ESD–22/6, October 2022. See
Medium- and heavy-duty vehicles (technoeconomic analysis with BEAN). Available online:
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
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of batteries in BEVs and FCEVs, but not
the associated indirect costs. At present,
there are few manufacturing plants for
HD vehicle batteries in the United
States, which means that few batteries
would qualify for the tax credit now. We
expect that the industry will respond to
this tax credit incentive by building
more domestic battery manufacturing
capacity in the coming years, but this
will take several years to come to
fruition. Thus, we have chosen to model
this tax credit by assuming that HD BEV
and FCEV manufacturers fully utilize
the module tax credit (which provides
$10 per kWh) and gradually increase
their utilization of the cell tax credit
(which provides $35 per kWh) for MY
2027–2029 until MY 2030 and beyond,
when they earn 100 percent of the
available cell and module tax credits.
Further discussion of this battery tax
credit and our battery costs can be
found in DRIA Chapter 2.4.3.1.
IRA section 13403, ‘‘Qualified
Commercial Clean Vehicles,’’ creates a
tax credit of up to $40,000 per Class 4
through 8 HD vehicle (up to $7,500 per
Class 2b or 3 vehicle) for the purchase
or lease of a qualified commercial clean
vehicle. This tax credit is available from
CY 2023 through CY 2032 and is based
on the lesser of the incremental cost of
the clean vehicle over a comparable ICE
vehicle or the specified percentage of
the basis of the clean vehicle, up to the
maximum applicable limitation. By
effectively reducing the price a vehicle
owner must pay for a HD ZEV and the
incremental difference in cost between
it and a comparable ICE vehicle—by
$40,000 in many cases—more vehicle
purchasers will be poised to take
advantage of the cost savings
anticipated from total cost of ownership,
including operational cost savings from
fuel and maintenance and repair
compared with ICE vehicles. Among
other specifications, these vehicles must
be on-road vehicles (or mobile
machinery) that are propelled to a
significant extent by a battery-powered
electric motor or are qualified fuel cell
motor vehicles (also known as fuel cell
electric vehicles, FCEVs). For the
former, the battery must have a capacity
of at least 15 kWh (or 7 kWh if it has
a gross vehicle weight rating of less than
14,000 pounds (Class 3 or below)) and
must be rechargeable from an external
source of electricity. This limits the
qualified vehicles to BEVs and plug-in
hybrid electric vehicles (PHEVs), in
addition to FCEVs. Since this tax credit
overlaps with the model years for which
we are proposing standards (MYs 2027
through 2032), we included it in our
calculations for each of those years in
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our feasibility analysis for our proposed
standards (see DRIA Chapter 2).
For BEVs and FCEVs, the per-vehicle
tax credit is equal to the lesser of the
following, up to the cap limitation: (A)
30 percent of the BEV or FCEV cost, or
(B) the incremental cost of the BEV or
FCEV when compared to a comparable
(in size and use) ICE vehicle. The
limitation on this tax credit is $40,000
for vehicles with a gross vehicle weight
rating of equal to or greater than 14,000
pounds (Class 4–8 commercial vehicles)
and $7,500 for vehicles with a gross
vehicle weight rating of less than 14,000
pounds (commercial vehicles Class 3
and below). For example, if a BEV with
a gross vehicle weight rating of equal to
or greater than 14,000 pounds costs
$350,000 and a comparable ICE vehicle
costs $150,000,181 the tax credit would
be the lesser of the following, subject to
the limitation: (A) 30 percent × $350,000
= $105,000 or (B) $350,000¥$150,000 =
$200,000. (A) is less than (B), but (A)
exceeds the limit of $40,000, so the tax
credit would be $40,000. For PHEVs, the
per-vehicle tax credit follows the same
calculation and cap limitation as for
BEVs and FCEVs except that (A) is 15
percent of the PHEV cost.
In order to estimate the impact of this
tax credit in our feasibility analysis for
BEVs and FCEVs, we first applied a
retail price equivalent to our direct
manufacturing costs for BEVs, FCEVs,
and ICE vehicles. Note that the direct
manufacturing costs of BEVs and FCEVs
were reduced by the amount of the
battery tax credit in IRA section 13502,
as described in DRIA Chapter 2.4.3.1.
We calculated the purchaser’s
incremental cost of BEVs and FCEVs
compared to ICE vehicles and not the
full cost of vehicles in our analysis. We
based our calculation of the tax credit
on this incremental cost. When the
incremental cost exceeded the tax credit
limitation (determined by gross vehicle
weight rating as described in the
previous paragraph), we decreased the
incremental cost by the tax credit
limitation. When the incremental cost
was between $0 and the tax credit
limitation, we reduced the incremental
cost to $0 (i.e., the tax credit received by
the purchaser was equal to the
incremental cost). When the
incremental cost was negative (i.e., the
BEV or FCEV was cheaper to purchase
than the ICE vehicle), no tax credit was
given. In order for this calculation to be
appropriate, we determined that all
181 Sharpe, B., Basma, H. ‘‘A meta-study of
purchase costs for zero-emission trucks’’.
International Council on Clean Transportation.
February 17, 2022. Available online: https://
theicct.org/wp-content/uploads/2022/02/purchasecost-ze-trucks-feb22-1.pdf.
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Class 4–8 BEVs and FCEVs must cost
more than $133,333 such that 30
percent of the cost is at least $40,000 (or
$25,000 and $7,500, respectively, for
BEVs and FCEVs Class 3 and below),
which is reasonable based on our review
of the literature on the costs of BEVs
and FCEVs.182 The tax credit amounts
for each vehicle type included in our
analysis in MYs 2027 and 2032 are
shown in DRIA Chapter 2.8.2.
We project that the impact of the IRA
vehicle tax credit will be significant, as
shown in DRIA Chapter 2.8.2. In many
cases, the incremental cost (with the tax
credit) of a BEV compared to an ICE
vehicle is eliminated, leaving only the
cost of the electric vehicle supply
equipment (EVSE) as an added upfront
cost to the BEV owner. Similarly, in
some cases, the tax credit eliminates the
upfront cost of a FCEV compared to an
ICE vehicle.
iii. Other IRA Provisions
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There are many other provisions of
the IRA that we expect will support
electrification of the heavy-duty fleet.
Importantly, these other provisions do
not serve to reduce ZEV adoption rates
from our current projections. Due to the
complexity of analyzing the combined
potential impact of these provisions, we
did not quantify their potential impact
in our assessment of costs and
feasibility, but we note that they may
help to reduce many obstacles to
electrification of HDVs and may further
support or even increase ZEV adoption
rates beyond the levels we currently
project. Our assessment of the impacts
of these provisions of the IRA on ZEV
adoption rates are, therefore, somewhat
conservative.
Section 13404, ‘‘Alternative Fuel
Refueling Property Credit,’’ modifies an
existing tax credit that applies to
alternative fuel refueling property (e.g.,
electric vehicle chargers and hydrogen
fueling stations) and extends the tax
credit through CY 2032. The credit also
applies to refueling property that stores
or dispenses specified clean-burning
fuels, including at least 85 percent
hydrogen, into the fuel tank of a motor
vehicle. Starting in CY 2023, this
provision provides a tax credit of up to
30 percent of the cost of the qualified
alternative fuel refueling property (e.g.,
HD BEV charger), and up to $100,000
182 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M. A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. April 1, 2021. Available at
https://publications.anl.gov/anlpubs/2021/05/
167399.pdf.
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when located in low-income or nonurban area census tracts and certain
other requirements are met. We expect
that many HD BEV owners will need
chargers installed in their depots for
overnight charging, and this tax credit
will effectively reduce the costs of
installing charging infrastructure and, in
turn, further effectively reduce the total
costs associated with owning a BEV for
many HD vehicle owners. Additionally,
this tax credit may offset some of the
costs of installing very high-powered
public and private chargers that are
necessary to recharge HD BEVs with
minimal downtime during the day.
Similarly, we expect that this tax credit
will reduce the costs associated with
refueling heavy-duty FCEVs, whose
owners may rely on public hydrogen
refueling stations or those installed in
their depots. We expect that this tax
credit will help incentivize the build
out of the charging and hydrogen
refueling infrastructure necessary for
high BEV and FCEV adoption, which
may further support increased BEV and
FCEV uptake.
Section 60101, ‘‘Clean Heavy-duty
Vehicles,’’ amends the CAA to add new
section 132 (42 U.S.C. 7432) and
appropriates $1 billion to the
Administrator, including $600 million
generally for carrying out CAA section
132 (3 percent of which must be
reserved for administrative costs
necessary to carry out the section’s
provisions) and $400 million to make
awards under CAA section 132 to
eligible recipients/contractors that
propose to replace eligible vehicles to
serve one or more communities located
in an air quality area designated
pursuant to CAA section 107 as
nonattainment for any air pollutant, in
FY 2022 and available through FY 2031.
CAA section 132 requires the
Administrator to implement a program
to make awards of grants and rebates to
eligible recipients (defined as States,
municipalities, Indian tribes, and
nonprofit school transportation
associations), and to make awards of
contracts to eligible contractors for
providing rebates, for up to 100 percent
of costs for: (1) the incremental costs of
replacing a Class 6 or Class 7 heavyduty vehicle that is not a zero-emission
vehicle with a zero-emission vehicle (as
determined by the Administrator based
on the market value of the vehicles); (2)
purchasing, installing, operating, and
maintaining infrastructure needed to
charge, fuel, or maintain zero-emission
vehicles; (3) workforce development
and training to support the
maintenance, charging, fueling, and
operation of zero-emission vehicles; and
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(4) planning and technical activities to
support the adoption and deployment of
zero-emission vehicles.
Section 60102, ‘‘Grants to Reduce Air
Pollution at Ports,’’ amends the CAA to
add a new section 133 (42 U.S.C. 7433)
and appropriates $3 billion (2 percent of
which must be reserved for
administrative costs necessary to carry
out the section’s provisions), $750
million of which is for projects located
in areas of nonattainment for any air
pollutant, in FY 2022 and available
through FY 2027, to reduce air pollution
at ports. Competitive rebates or grants
are to be awarded for the purchase or
installation of zero-emission port
equipment or technology for use at, or
to directly serve, one or more ports; to
conduct any relevant planning or
permitting in connection with the
purchase or permitting of zero-emission
port equipment or technology; and to
develop qualified climate action plans.
The zero-emission equipment or
technology either (1) produces zero
emissions of GHGs, listed criteria
pollutants, and hazardous air pollutants
or (2) it captures 100 percent of the
emissions produced by an ocean-going
vessel at berth.
Section 60103, ‘‘Greenhouse Gas
Reduction Fund,’’ amends the CAA to
add a new section 134 (42 U.S.C. 7434)
and appropriates $27 billion, $15 billion
of which is for low-income and
disadvantaged communities, in FY 2022
and available through FY 2024, for a
GHG reduction grant program. The
program supports direct investments in
qualified projects at the national,
regional, State, and local levels, and
indirect investments to establish new or
support existing public, quasi-public,
not-for-profit, or nonprofit entities that
provide financial assistance to qualified
projects. The program focuses on the
rapid deployment of low- and zeroemission products, technologies, and
services to reduce or avoid GHG
emissions and other forms of air
pollution.
Section 60104, ‘‘Diesel Emissions
Reductions,’’ appropriates $60 million
(2 percent of which must be reserved for
administrative costs necessary to carry
out the section’s provisions), in FY 2022
and available through FY 2031, for
grants, rebates, and loans under section
792 of the Energy Policy Act of 2005 (42
U.S.C. 16132) to identify and reduce
diesel emissions resulting from goods
movement facilities and vehicles
servicing goods movement facilities in
low-income and disadvantaged
communities to address the health
impacts of such emissions on such
communities.
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Section 70002 appropriates $3 billion
in FY 2022 and available through FY
2031 for the U.S. Postal Service to
purchase ZEVs ($1.29 billion) and to
purchase, design, and install
infrastructure to support zero-emission
delivery vehicles at facilities that the
U.S. Postal Service owns or leases from
non-Federal entities ($1.71 billion).
Section 13501, ‘‘Extension of the
Advanced Energy Project Credit,’’
allocates $10 billion in tax credits for
facilities to domestically manufacture
advanced energy technologies, subject
to certain application and other
requirements and limitations.
Qualifying properties now include
light-, medium-, or heavy-duty electric
or fuel cell vehicles along with the
technologies, components, or materials
for such vehicles and the associated
charging or refueling infrastructure.
They also include hybrid vehicles with
a gross vehicle weight rating of not less
than 14,000 pounds along with the
technologies, components, or materials
for them.
Sections 50142, 50143, 50144, 50145,
50151, 50152, and 50153 collectively
appropriate nearly $13 billion to
support low- and zero-emission vehicle
manufacturing and energy
infrastructure. These provisions are
intended to help accelerate the ability
for industry to meet the demands
spurred by the previously mentioned
IRA sections, both for manufacturing
vehicles, including BEVs and FCEVs,
and for energy infrastructure.
Section 13204, ‘‘Clean Hydrogen,’’
amends section 45V of the Internal
Revenue Code (i.e., Title 26) to offer a
tax credit to produce hydrogen for
qualified clean production facilities that
use a process that results in a lifecycle
GHG emissions rate of not greater than
4 kg of CO2e per kg of hydrogen. This
credit is eligible for qualified clean
hydrogen production facilities whose
construction begins before January 1,
2033, and is available during the 10-year
period beginning on the date such
facility was originally placed in service.
The credit increases to a maximum of $3
per kilogram produced as the lifecycle
GHG emissions rate is reduced to less
than 0.45 kg of CO2e per kg of hydrogen.
Facilities that received credit for the
construction of carbon capture and
direct air capture equipment or facilities
(i.e., under 45Q) do not qualify, and
prevailing wage and apprenticeship
requirements apply. Section 60113,
‘‘Methane Emissions Reduction
Program,’’ amends the CAA by adding
Section 136 and appropriates $850
million to EPA to support methane
mitigation and monitoring, plus
authorizes a new fee of $900 per ton on
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‘‘waste’’ methane emissions that
escalates after two years to $1,500 per
ton. These combined incentives
promote the production of hydrogen in
a manner that minimizes its potential
greenhouse gas impact.
While there are challenges facing
greater adoption of heavy-duty ZEV
technologies, the IRA provides many
financial incentives to overcome these
challenges and thus would also support
our proposed rulemaking. We expect
IRA sections 13502 and 13403 to
support the adoption of HD ZEV
technologies in the market, as detailed
in our assessment of the appropriate
GHG standards we are proposing.
Additionally, we expect IRA sections
13404, 60101–60104, 70002, 13501,
50142–50145, 50151–50153, and 13204
to further accelerate ZEV adoption, but
we are not including them
quantitatively in our analyses.
As described in Section II of the
proposed rule, EPA has considered the
potential impacts of the BIL and the IRA
in our assessment of the appropriate
proposed GHG standards both
quantitatively and qualitatively, and we
request comment on our approach.
3. States’ Efforts To Increase Adoption
of HD ZEVs
HD vehicle sales and on-road vehicle
populations are significant in the state
of California. Approximately ten percent
of U.S. HD ICE vehicles in 2016 were
registered in California.183 California
adopted the ACT program in 2020,
which will also influence the market
trajectory for BEV and FCEV
technologies.184 185 186 The ACT program
requires manufacturers who certify HD
vehicles for sale in California to sell a
certain percentage of zero-emission HD
vehicles (BEVs or FCEVs) in California
for each model year, beginning with MY
183 FHWA. U.S. Highway Statistics. Available
online at: https://www.fhwa.dot.gov/policy
information/statistics.cfm.
184 CAA section 209(a) generally preempts states
from adopting emission control standards for new
motor vehicles. But Congress created an important
exception from preemption. Under CAA section
209(b), the State of California may seek a waiver of
preemption, and EPA must grant it unless the
Agency makes one of three statutory findings.
California’s waiver of preemption for its motor
vehicle emissions standards allows other States to
adopt and enforce identical standards pursuant to
CAA section 177. Since the CAA was enacted, EPA
has granted California dozens of waivers of
preemption, permitting California to enforce its
own motor vehicle emission standards.
185 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
186 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023.
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2024.187 As shown in Table I–1, the
sales requirements vary by vehicle class,
starting at 5 to 9 percent of total MY
2024 HD vehicle sales in California and
increasing to 40 to 75 percent of a total
MY’s HD vehicle sales in California in
MYs 2035 and later.188
TABLE I–1—CARB’S ACT ZEV SALES
REQUIREMENTS FOR CLASS 4–8
HEAVY-DUTY VEHICLES BY MODEL
YEAR 1
Model year
(MY)
2024 ..........
2025 ..........
2026 ..........
2027 2 ........
2028 2 ........
2029 2 ........
2030 2 ........
2031 2 ........
2032 2 ........
2033 ..........
2034 ..........
2035+ ........
Class 7–8
tractors
(%)
Class 4–8
(%)
9
11
13
20
30
40
50
55
60
65
70
75
5
7
10
15
20
25
30
35
40
40
40
40
Notes:
1 The CARB ACT program also includes
ZEV sales requirements for Class 2b and 3
vehicles with GVWR between 8,500 and
14,000 pounds. These vehicles are primarily
commercial pickup trucks and vans and are
sometimes referred to as ‘‘medium-duty vehicles.’’ The majority of Class 2b and 3 vehicles
are chassis-certified vehicles and EPA is addressing these vehicles in a separate regulatory action, along with light-duty vehicles,
consistent with E.O. 14037, Section 2a.
2 We are proposing GHG emission standards for these MYs in this action.
Outside of California, a number of
states have signaled interest in greater
adoption of HD ZEV technologies and/
or establishing specific goals to increase
the HD electric vehicle market. As one
example, the Memorandum of
Understanding (MOU), ‘‘Multi-State
Medium- and Heavy-Duty Zero
Emission Vehicle,’’ (Multi-State MOU)
organized by Northeast States for
Coordinated Air Use Management
(NESCAUM), sets targets ‘‘to make all
sales of new medium- and heavy-duty
vehicles [in the jurisdictions of the
signatory states and the District of
Columbia] zero emission vehicles by no
later than 2050’’ with an interim goal of
30 percent of all sales of new mediumand heavy-duty vehicles being zero
emission vehicles no later than 2030.189
187 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf at § 1963.1, tbl. A–1,
‘‘ZEV Sales Percentage Schedule’’.
188 Ibid.
189 Northeast States for Coordinated Air Use
Management (NESCAUM), Multi-state Medium-
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The Multi-State MOU was signed by the
governors of 17 states including
California, Colorado, Connecticut,
Hawaii, Maine, Maryland,
Massachusetts, New Jersey, New York,
North Carolina, Nevada, Oregon,
Pennsylvania, Rhode Island, Vermont,
Virginia, and Washington, as well as the
mayor of the District of Columbia. The
Multi-State MOU outlines these
jurisdictions’ more specific
commitments to move toward ZEVs
through the Multi-State ZEV Task Force
and provides an action plan for zeroemission medium- and heavy-duty
vehicles with measurable sales targets
and a focus on overburdened and
underserved communities. Several
states that signed the Multi-State MOU
have since adopted California’s ACT
program, pursuant to CAA section 177,
and we anticipate more jurisdictions
will follow with similar proposals.190
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D. EPA Statutory Authority for the
Proposal
This section briefly summarizes the
statutory authority for the proposed
rule. Statutory authority for the GHG
standards EPA is proposing is found in
CAA section 202(a)(1) (2), 42 U.S.C.
7521(a)(1)–(2), which requires EPA to
establish standards applicable to
emissions of air pollutants from new
motor vehicles and engines which cause
or contribute to air pollution which may
reasonably be anticipated to endanger
public health or welfare. Additional
statutory authority for the proposed
action is found in CAA sections 202–
209, 216, and 301, 42 U.S.C. 7521–7543,
7550, and 7601. We discuss some key
aspects of these sections in relation to
this proposed action immediately
below.
and Heavy-duty Zero Emission Vehicle
Memorandum of Understanding, available at
https://www.nescaum.org/documents/mhdv-zevmou-20220329.pdf/ (hereinafter ‘‘Multi-State
MOU’’).
190 See, e.g., Final Advanced Clean Truck
Amendments, 1461 Mass. Reg. 29 (Jan. 21, 2022)
(Massachusetts). Medium- and Heavy-Duty (MHD)
Zero Emission Truck Annual Sales Requirements
and Large Entity Reporting, 44 N.Y. Reg. 8 (Jan. 19,
2022) (New York), available at https://dos.ny.gov/
system/files/documents/2022/01/011922.pdf.
Advanced Clean Trucks Program and Fleet
Reporting Requirements, 53 N.J.R. 2148(a) (Dec. 20,
2021) (New Jersey), available at https://www.nj.gov/
dep/rules/adoptions/adopt_20211220a.pdf (prepublication version). Clean Trucks Rule 2021, DEQ–
17–2021 (Nov. 17, 2021), available at https://
records.sos.state.or.us/ORSOSWebDrawer/
Recordhtml/8581405 (Oregon). Low emission
vehicles, Wash. Admin. Code. § 173–423–070
(2021), available at https://app.leg.wa.gov/wac/
default.aspx?cite=173-423-070; 2021 Wash. Reg.
587356 (Dec. 15, 2021); Wash. Reg. 21–24–059
(Nov. 29, 2021) (amending Wash. Admin. Code.
§§ 173–423 and 173–400), available at https://
lawfilesext.leg.wa.gov/law/wsrpdf/2021/24/21-24059.pdf. (Washington).
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Title II of the Clean Air Act provides
for comprehensive regulation of mobile
sources, authorizing EPA to regulate
emissions of air pollutants from all
mobile source categories, including
motor vehicles under CAA section
202(a). In turn, CAA section 216(2)
defines ‘‘motor vehicle’’ as ‘‘any selfpropelled vehicle designed for
transporting persons or property on a
street or highway.’’ Congress has
intentionally and consistently used the
broad term ‘‘any self-propelled vehicle’’
since the Motor Vehicle Air Pollution
Control Act of 1965 so as not to limit
standards adopted under CAA section
202 to vehicles running on a particular
fuel, power source, or system of
propulsion. Congress’s focus was on
emissions from classes of motor vehicles
and the ‘‘requisite technologies’’ that
could feasibly reduce those emissions
giving appropriate consideration to cost
of compliance and lead time, as
opposed to being limited to any
particular type of vehicle.
Section 202(a)(1) of the CAA states
that ‘‘the Administrator shall by
regulation prescribe (and from time to
time revise) . . . standards applicable to
the emission of any air pollutant from
any class or classes of new motor
vehicles . . . which in his judgment
cause, or contribute to, air pollution
which may reasonably be anticipated to
endanger public health or welfare.’’
CAA section 202(a)(1) also requires that
any standards promulgated thereunder
‘‘shall be applicable to such vehicles
and engines for their useful life (as
determined under [CAA section 202(d)],
relating to useful life of vehicles for
purposes of certification), whether such
vehicle and engines are designed as
complete systems or incorporate devices
to prevent or control such pollution.’’
CAA section 202(d) directs EPA to
prescribe regulations under which the
‘‘useful life’’ of vehicles and engines
shall be determined for the purpose of
setting standards under CAA section
202(a)(1). For HD highway vehicles and
engines, CAA section 202(d) establishes
‘‘useful life’’ minimum values of 10
years or 100,000 miles, whichever
occurs first, unless EPA determines that
greater values are appropriate.191
191 In 1983, EPA adopted useful life periods to
apply for HD engines criteria pollutant standards
(48 FR 52170, November 16, 1983). The useful life
mileage for heavy HD engines criteria pollutant
standards was subsequently increased for 2004 and
later model years (62 FR 54694, October 21, 1997).
In the GHG Phase 2 rule (81 FR 73496, October 25,
2016), EPA set the same useful life periods to apply
for HD engines and vehicles greenhouse gas
emission standards, except that the spark-ignition
HD engine standards and the standards for model
year 2021 and later light HD engines apply over a
useful life of 15 years or 150,000 miles, whichever
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While emission standards set by the
EPA under CAA section 202(a)(1)
generally do not mandate use of
particular technologies, they are
technology-based, as the levels chosen
must be premised on a finding of
technological feasibility. Thus,
standards promulgated under CAA
section 202(a) are to take effect only
‘‘after such period as the Administrator
finds necessary to permit the
development and application of the
requisite technology, giving appropriate
consideration to the cost of compliance
within such period.’’ CAA section
202(a)(2); see also NRDC v. EPA, 655 F.
2d 318, 322 (D.C. Cir. 1981). EPA must
consider costs to those entities which
are directly subject to the standards.
Motor & Equipment Mfrs. Ass’n Inc. v.
EPA, 627 F. 2d 1095, 1118 (D.C. Cir.
1979). Thus, ‘‘the [s]ection 202(a)(2)
reference to compliance costs
encompasses only the cost to the motorvehicle industry to come into
compliance with the new emission
standards, and does not mandate
consideration of costs to other entities
not directly subject to the proposed
standards.’’ Coalition for Responsible
Regulation v. EPA, 684 F.3d 120, 128
(D.C. Cir. 2012). EPA is afforded
considerable discretion under section
202(a) when assessing issues of
technical feasibility and availability of
lead time to implement new technology.
Such determinations are ‘‘subject to the
restraints of reasonableness,’’ which
‘‘does not open the door to ‘crystal ball’
inquiry.’’ NRDC, 655 F. 2d at 328,
quoting International Harvester Co. v.
Ruckelshaus, 478 F. 2d 615, 629 (D.C.
Cir. 1973); see also Growth Energy v.
EPA, 5 F.4th 1, 15 (D.C. Cir. 2021) (‘‘The
court is ‘particularly deferential’ to
agencies’ predictive judgments,
requiring only that ‘the agency
acknowledge factual uncertainties and
identify the considerations it found
persuasive.’ EPA cleared that modest
bar.’’) (internal citations omitted).
Moreover, ‘‘EPA is not obliged to
provide detailed solutions to every
engineering problem posed in the
perfection of [a particular device]. In the
absence of theoretical objections to the
technology, the agency need only
identify the major steps necessary for
development of the device, and give
plausible reasons for its belief that the
industry will be able to solve those
problems in the time remaining. The
EPA is not required to rebut all
comes first. In the HD2027 rule (88 FR 4359,
January 24, 2023), EPA lengthened useful life
periods for all 2027 and later model year HD
engines criteria pollutant standards. See also 40
CFR 1036.104(e), 1036.108(d), 1037.105(e), and
1037.106(e).
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speculation that unspecified factors may
hinder ‘real world’ emission control.’’
NRDC, 655 F. 2d at 333–34. In
developing such technology-based
standards, EPA has the discretion to
consider different standards for
appropriate groupings of vehicles
(‘‘class or classes of new motor
vehicles’’), or a single standard for a
larger grouping of motor vehicles.
NRDC, 655 F.2d at 338.192
Although standards under CAA
section 202(a)(1) are technology-based,
they are not based exclusively on
technological capability. Pursuant to the
broad grant of authority in section 202,
when setting GHG emission standards
for HD vehicles, EPA must consider
certain factors and may also consider
other factors and has done so previously
when setting such standards. For
instance, in HD GHG Phase 1 and Phase
2, EPA explained that when acting
under this authority EPA has considered
such issues as technology effectiveness,
its cost (including per vehicle, per
manufacturer, and per purchaser), the
lead time necessary to implement the
technology, and based on this the
feasibility and practicability of potential
standards; the impacts of potential
standards on emissions reductions; the
impacts of standards on oil conservation
and energy security; the impacts of
standards on fuel savings by vehicle
operators; the impacts of standards on
the heavy-duty vehicle industry; as well
as other relevant factors such as impacts
on safety.193 194
In addition, EPA has clear authority to
set standards under CAA section
202(a)(1)–(2) that are technology forcing
when EPA considers that to be
appropriate, but is not required to do so
(as compared to standards under
provisions such as section 202(a)(3),
which require the greatest degree of
emissions reduction achievable, giving
appropriate consideration to cost,
energy and safety factors). CAA section
202(a) does not specify the degree of
weight to apply to each factor, and EPA
accordingly has discretion in choosing
an appropriate balance among factors.
See Sierra Club v. EPA, 325 F.3d 374,
378 (D.C. Cir. 2003) (even where a
provision is technology-forcing, the
provision ‘‘does not resolve how the
Administrator should weigh all [the
192 Additionally, with respect to regulation of
vehicular GHG emissions, EPA is not ‘‘required to
treat NHTSA’s . . . regulations as establishing the
baseline for the [section 202(a) standards].’’
Coalition for Responsible Regulation, 684 F.3d at
127 (noting that the section 202(a) standards
provide ‘‘benefits above and beyond those resulting
from NHTSA’s fuel-economy standards’’).
193 76 FR 57129, September 15, 2011.
194 81 FR 73478, 73512, October 25, 2016.
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statutory] factors in the process of
finding the ’greatest emission reduction
achievable’’’); National Petrochemical
and Refiners Ass’n v. EPA, 287 F.3d
1130, 1135 (D.C. Cir. 2002) (EPA
decisions, under CAA provision
authorizing technology-forcing
standards, based on complex scientific
or technical analysis are accorded
particularly great deference); see also
Husqvarna AB v. EPA, 254 F. 3d 195,
200 (D.C. Cir. 2001) (great discretion to
balance statutory factors in considering
level of technology-based standard, and
statutory requirement ‘‘to [give
appropriate] consideration to the cost of
applying . . . technology’’ does not
mandate a specific method of cost
analysis); Hercules Inc. v. EPA, 598 F.
2d 91, 106 (D.C. Cir. 1978) (‘‘In
reviewing a numerical standard we
must ask whether the agency’s numbers
are within a zone of reasonableness, not
whether its numbers are precisely
right.’’).195
As noted previously in this section,
there are also other provisions of the
CAA that provide authority for EPA’s
proposed action, including CAA
sections 203, 206, and 207. Under
section 203 of the CAA, sales of vehicles
are prohibited unless the vehicle is
covered by a certificate of conformity,
and EPA issues certificates of
conformity pursuant to section 206 of
the CAA. Certificates of conformity are
based on (necessarily) pre-sale testing
conducted either by EPA or by the
manufacturer. Compliance with
standards is required not only at
certification but throughout a vehicle’s
useful life, so that testing requirements
may continue post-certification. To
assure each engine and vehicle complies
during its useful life, EPA may apply an
adjustment factor to account for vehicle
emission control deterioration or
variability in use (section 206(a)). EPA
establishes the test procedures under
which compliance with the CAA
emissions standards is measured. EPA’s
testing authority under the CAA is
broad and flexible.
Under CAA section 207,
manufacturers are required to provide
emission-related warranties. The
emission-related warranty period for HD
engines and vehicles under CAA section
207(i) is ‘‘the period established by the
Administrator by regulation
(promulgated prior to November 15,
1990) for such purposes unless the
Administrator subsequently modifies
195 See also; Permian Basin Area Rate Cases, 390
U.S. 747, 797 (1968) (same); Federal Power
Commission v. Conway Corp., 426 U.S. 271, 278
(1976) (same); Exxon Mobil Gas Marketing Co. v.
Federal Energy Regulatory Comm’n, 297 F. 3d 1071,
1084 (D.C. Cir. 2002) (same).
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25949
such regulation.’’ For HD vehicles, part
1037 currently specifies that the
emission-related warranty for Light HD
vehicles is 5 years or 50,000 miles and
for Medium HD and Heavy HD vehicles
is 5 years or 100,000 miles, and
specifies the components covered for
such vehicles.196 Section 207 of the
CAA also grants EPA broad authority to
require manufacturers to remedy
nonconformity if EPA determines there
are a substantial number of
noncomplying vehicles. Additional
aspects of EPA’s legal authority are
more fully discussed in the HD GHG
Phase 1 final rule.197 Further discussion
of EPA’s authority under CAA section
202(a)(1)–(2) may also be found in the
HD GHG Phase 1 final rule.
With regard to the specific
technologies that could be used to meet
the emission standards promulgated
under the statutory authorities
discussed in this Section I.D, EPA’s
rules have historically not required the
use of any particular technology, but
rather have allowed manufacturers to
use any technology that demonstrates
the engine or vehicle meets the
standards over the applicable test
procedures. Similarly, in determining
the standards, EPA appropriately
considers updated data and analysis on
pollution control technologies, without
a priori limiting its consideration to a
particular set of technologies. Given the
continuous development of pollution
control technologies since the early days
of the CAA, this approach means that
EPA routinely considers novel and
projected technologies developed or
refined since the time of the CAA’s
enactment, including for instance,
electric vehicle technologies. In
requiring EPA to consider lead time that
takes into consideration development
and application of technology when
setting standards before such standards
may take effect, Congress directed EPA
to consider future technological
advancements and innovation rather
than limiting the Agency to setting
standards that reflect only technologies
in place at the time the standards are
developed. This forward-looking
regulatory approach keeps pace with
real-world technological developments
that have the potential to reduce
emissions and comports with
Congressional intent.
Section 202 does not specify or expect
any particular type of motor vehicle
propulsion system to remain prevalent,
and it was clear as early as the 1960s
that ICE vehicles might be inadequate to
achieve the country’s air quality goals.
196 See
197 76
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In 1967, the Senate Committees on
Commerce and Public Works held five
days of hearings on ‘‘electric vehicles
and other alternatives to the internal
combustion engine,’’ which Chairman
Magnuson opened by saying ‘‘The
electric will help alleviate air pollution.
. . . The electric car does not mean a
new way of life, but rather it is a new
technology to help solve the new
problems of our age.’’ 198 In a 1970
message to Congress seeking a stronger
CAA, President Nixon stated he was
initiating a program to develop ‘‘an
unconventionally powered, virtually
pollution free automobile’’ because of
the possibility that ‘‘the sheer number of
cars in densely populated areas will
begin outrunning the technological
limits of our capacity to reduce
pollution from the internal combustion
engine.’’ 199
Since the earliest days of the CAA,
Congress has emphasized that the goal
of section 202 is to address air quality
hazards from motor vehicles, not to
simply reduce emissions from internal
combustion engines to the extent
feasible. In the Senate Report
accompanying the 1970 CAA
Amendments, Congress made clear the
EPA ‘‘is expected to press for the
development and application of
improved technology rather than be
limited by that which exists’’ and
identified several ‘‘unconventional’’
technologies that could successfully
meet air quality-based emissions targets
for motor vehicles.200 In the 1970
amendments Congress further
demonstrated its recognition that
developing new technology to ensure
that pollution control keeps pace with
economic development is not merely a
matter of refining the ICE, but requires
considering new types of motor vehicle
propulsion. Congress provided EPA
with authority to fund the development
of ‘‘low emission alternatives to the
present internal combustion engine’’ as
well as a program to encourage Federal
purchases of ‘‘low-emission vehicles.’’
See CAA section 104(a)(2) (previously
codified as CAA section 212). Congress
also adopted section 202(e) expressly to
grant the Administrator discretion
regarding the certification of vehicles
and engines based on ‘‘new power
sources or propulsion system[s],’’ that is
198 Electric Vehicles and Other Alternatives to the
Internal Combustion Engine: Joint Hearings before
the Comm. On Commerce and the Subcomm. On
Air and Water Pollution of the Comm. On Pub.
Works, 90th Cong. (1967).
199 Richard Nixon, Special Message to the
Congress on Environmental Quality (Feb. 10, 1970),
https://www.presidency.ucsb.edu/documents/
special-message-the-congress-environmentalquality.
200 S. Rep. No. 91–1196, at 24–27 (1970).
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to say, power sources and propulsion
systems beyond the existing internal
combustion engine and fuels available
at the time of the statute’s enactment, if
those vehicles emitted pollutants which
the Administrator judged contributed to
dangerous air pollution but had not yet
established standards for under section
202(a). As the D.C. Circuit stated in
1975, ‘‘We may also note that it is the
belief of many experts—both in and out
of the automobile industry—that air
pollution cannot be effectively checked
until the industry finds a substitute for
the conventional automotive power
plant–the reciprocating internal
combustion (i.e., ‘‘piston’’) engine. . . .
It is clear from the legislative history
that Congress expected the Clean Air
Amendments to force the industry to
broaden the scope of its research—to
study new types of engines and new
control systems.’’ International
Harvester Co. v. Ruckelshaus, 478 F.2d
615, 634–35 (D.C. Cir. 1975).
Since that time, Congress has
continued to emphasize the importance
of technology development to achieving
the goals of the CAA. In the 1990
amendments, Congress instituted a
clean fuel vehicles program to promote
further progress in emissions
reductions, which also applied to motor
vehicles as defined under section 216,
see CAA section 241(1), and explicitly
defined motor vehicles qualifying under
the program as including vehicles
running on an alternative fuel or ‘‘power
source (including electricity),’’ CAA
section 241(2). Congress also directed
EPA to phase-in certain section 202(a)
standards, see CAA section 202(g)–(j),201
which confirms EPA’s authority to
promulgate standards, such as fleet
averages, phase-ins, and averaging,
banking, and trading programs, that are
fulfilled through compliance over an
entire fleet, or a portion thereof, rather
than through compliance by individual
vehicles. As previously noted in the
Executive Summary of this preamble,
EPA has long included averaging
provisions for complying with emission
standards in the HD program and in
upholding the first HD final rule that
included such a provision the D.C.
Circuit rejected petitioner’s challenge in
the absence of any clear evidence that
Congress meant to prohibit averaging.
NRDC v. Thomas, 805 F.2d 410, 425
(D.C. Cir. 1986). In the subsequent 1990
201 See, e.g., CAA section 202(h), which requires
that the regulations EPA promulgates under CAA
section 202(a) for light-duty trucks over 6,000
pounds. GVWR must contain standards that provide
that the specified numeric emission standards will
be met by specified percentages of each
manufacturer’s sales volume of such trucks,
depending on the MY (e.g., 50% for MY 1996).
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amendments, Congress, noting NRDC v.
Thomas, opted to let the existing law
‘‘remain in effect,’’ reflecting that ‘‘[t]he
intention was to retain the status quo,’’
i.e., EPA’s existing authority to allow
averaging.202 Averaging, banking, and
trading is discussed further in Sections
II and III of this preamble; additional
history of ABT is discussed in EPA’s
Answering Brief in Texas v. EPA (D.C.
Cir., 22–1031, at § IV.A–B).
The recently-enacted IRA203
‘‘reinforces the longstanding authority
and responsibility of [EPA] to regulate
GHGs as air pollutants under the Clean
Air Act,’’ 204 and ‘‘the IRA clearly and
deliberately instructs EPA to use’’ this
authority by ‘‘combin[ing] economic
incentives to reduce climate pollution
with regulatory drivers to spur greater
reductions under EPA’s CAA
authorities.’’ 205 To assist with this, as
described in Section I.C.2, the IRA
provided a number of economic
incentives for HD ZEVs and the
infrastructure necessary to support
them, and specifically affirms
Congress’s previously articulated
statements that non-ICE technologies
will be a key component of achieving
emissions reductions from the mobile
source sector, including the HD industry
sector.206 The Congressional Record
reflects that ‘‘Congress recognizes EPA’s
longstanding authority under CAA
Section 202 to adopt standards that rely
on zero emission technologies, and
Congress expects that future EPA
regulations will increasingly rely on and
incentivize zero-emission vehicles as
appropriate.’’ 207
Consistent with Congress’s intent,
EPA’s CAA Title II emission standards
have been based on and stimulated the
development of a broad set of advanced
technologies, such as electronic fuel
injection systems, gasoline catalytic
convertors, diesel particulate filters,
diesel NOX reduction catalysts, gasoline
direct injection fuel systems, active
aerodynamic grill shutters, and
advanced transmission technologies,
which have been the building blocks of
202 136 Cong. Rec. 36,713, 1990 WL 1222468 at
*1136 Cong. Rec. 35,367, 1990 WL 1222469 at *1.
203 Inflation Reduction Act, Public Law 117–169,
136 Stat. 1818, (2022), available at https://
www.congress.gov/117/bills/hr5376/BILLS117hr5376enr.pdf.
204 168 Cong. Rec. E868–02 (daily ed. Aug. 12,
2022) (statement of Rep. Pallone).
205 168 Cong. Rec. E879–02, at 880 (daily ed. Aug.
26, 2022) (statement of Rep. Pallone).
206 See Inflation Reduction Act, Public Law 117–
169, at §§ 13204, 13403, 13404, 13501, 13502,
50142–50145, 50151–50153, 60101–60104, 70002
136 Stat. 1818, (2022), available at https://
www.congress.gov/117/bills/hr5376/BILLS117hr5376enr.pdf.
207 168 Cong. Rec. E879–02, at 880 (daily ed. Aug.
26, 2022) (statement of Rep. Pallone).
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heavy-duty vehicle designs and have
yielded not only lower pollutant
emissions, but improved vehicle
performance, reliability, and durability.
As previously discussed, beginning in
2011, EPA has set HD vehicle and
engine standards under section
202(a)(1)–(2) for GHGs.208
Manufacturers have responded to
standards over the past decade by
continuing to develop and deploy a
wide range of technologies, including
more efficient engine designs,
transmissions, aerodynamics, and tires,
air conditioning systems that contribute
to lower GHG emissions, as well as
vehicles based on methods of
propulsion beyond diesel- and gasolinefueled ICE vehicles, including ICE
running on alternative fuels (such as
natural gas, biodiesel, renewable diesel,
methanol, and other fuels), as well as
various levels of electrified vehicle
technologies from mild hybrids, to
strong hybrids, and up through battery
electric vehicles and fuel cell electric
vehicles. In addition, the continued
application of performance-based
standards take into consideration
averaging provisions that provide an
opportunity for all technology
improvements and innovation to be
reflected in a vehicle manufacturers’
compliance results.
With regard to EPA’s proposed
revised preemption regulations
regarding locomotives described in
Section X of the preamble, statutory
authority is found in CAA section 209.
CAA section 209(e)(1)(B), 42 U.S.C.
7543(e)(1)(B), prohibits states and
political subdivisions thereof from
adopting or attempting to enforce any
standard or other requirement relating
to the control of emissions from new
locomotives or new engines used in
locomotives. However, CAA section
209(e)(2)(A)–(B), 42 U.S.C.
7543(e)(2)(A)–(B), requires EPA to
authorize, after notice and an
opportunity for public hearing,
California to adopt and enforce
standards and other requirements
relating to control of emissions from
other nonroad vehicles or engines
provided certain criteria are met, and
allows states other than California to
adopt and enforce, after notice to EPA,
such standards provided they are
equivalent to California’s authorized
standards. CAA section 209(e)(2)(B)
then requires EPA to issue regulations to
implement subsection 209(e).
208 76
FR 57106, September 15, 2011.
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E. Coordination With Federal and State
Partners
Executive Order 14037 directs EPA
and DOT to coordinate, as appropriate
and consistent with applicable law,
during consideration of this rulemaking.
EPA has coordinated and consulted
with DOT/NHTSA, both on a bilateral
level during the development of the
proposed program as well as through
the interagency review of the EPA
proposal led by the Office of
Management and Budget. EPA has set
some previous heavy-duty vehicle GHG
emission standards in joint rulemakings
where NHTSA also established heavyduty fuel efficiency standards. In the
light-duty GHG emission rulemaking
establishing standards for model years
2023 through 2026, EPA and NHTSA
concluded that it was appropriate to
coordinate and consult but not to engage
in joint rulemaking. EPA has similarly
concluded that it is not necessary for
this EPA proposal to be issued in a joint
action with NHTSA. In reaching this
conclusion, EPA notes there is no
statutory requirement for joint
rulemaking and that the agencies have
different statutory mandates and their
respective programs have always
reflected those differences. As the
Supreme Court has noted, ‘‘EPA has
been charged with protecting the
public’s ’health’ and ’welfare,’ a
statutory obligation wholly independent
of DOT’s mandate to promote energy
efficiency.’’ 209 Although there is no
statutory requirement for EPA to consult
with NHTSA, EPA has consulted with
NHTSA in the development of this
proposal. For example, staff of the two
agencies met frequently to discuss
various technical issues and to share
technical information.
EPA also has consulted with other
federal agencies in developing this
proposal, including the Federal Energy
Regulatory Commission, the Department
of Energy and several national labs. EPA
collaborates with DOE and Argonne
National Laboratory on battery cost
analyses and critical materials
forecasting. EPA also coordinates with
the Joint Office of Energy and
Transportation on charging
infrastructure. EPA and the Oak Ridge
National Laboratory collaborate on
energy security issues. EPA also
participates in the Federal Consortium
for Advanced Batteries led by DOE and
the Joint Office of Energy and
Transportation. EPA and DOE also have
entered into a Joint Memorandum of
Understanding to provide a framework
for interagency cooperation and
209 Massachusetts
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consultation on electric sector resource
adequacy and operational reliability.210
E.O. 14037 also directs EPA to
coordinate with California and other
states that are leading the way in
reducing vehicle emissions, as
appropriate and consistent with
applicable law, during consideration of
this rulemaking. EPA has engaged with
the California Air Resources Board on
technical issues in developing this
proposal. EPA has considered certain
aspects of the CARB Advanced Clean
Trucks Rule, as discussed elsewhere in
this document. We also have engaged
with other states, including members of
the National Association of Clean Air
Agencies, the Association of Air
Pollution Control Agencies, the
Northeast States for Coordinated Air
Use Management, and the Ozone
Transport Commission.
F. Stakeholder Engagement
EPA has conducted extensive
engagement with a diverse range of
interested stakeholders in developing
this proposal. We have engaged with
those groups with whom E.O. 14037
specifically directs EPA to engage,
including labor unions, states, industry,
environmental justice organizations and
public health experts. In addition, we
have engaged with environmental
NGOs, vehicle manufacturers,
technology suppliers, dealers, utilities,
charging providers, Tribal governments,
and other organizations. For example, in
April–May 2022, EPA held a series of
engagement sessions with organizations
representing all of these stakeholder
groups so that EPA could hear early
input in developing its proposal. EPA
has continued engagement with many of
these stakeholders throughout the
development of this proposal. EPA
looks forward to hearing from all
stakeholders through comments on this
proposal and during the public hearing.
II. Proposed CO2 Emission Standards
Under our CAA section 202(a)(1)–(2)
authority, and consistent with E.O.
14037, we are proposing new GHG
standards for MYs 2027 through 2032
and later HD vehicles. We are retaining
and not reopening the nitrous oxide
(N2O), methane (CH4), and CO2 emission
standards that apply to heavy-duty
engines, the HFC emission standards
that apply to heavy-duty vehicles, and
the general compliance structure of
existing 40 CFR part 1037 except for
some proposed revisions described in
210 Joint Memorandum on Interagency
Communication and Consultation on Electric
Reliability, U.S. Department of Energy and U.S.
Environmental Protection Agency, March 8, 2023.
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Section III.211 In this Section II, we
describe our assessment that these
stringent standards are appropriate and
feasible considering lead time, costs,
and other factors. These proposed Phase
3 standards include (1) revised GHG
standards for many MY 2027 HD
vehicles, and (2) new GHG standards
starting in MYs 2028 through 2032. The
proposed standards do not mandate the
use of a specific technology, and EPA
anticipates that a compliant fleet under
the proposed standards would include a
diverse range of technologies, including
ZEV and ICE vehicle technologies. In
developing the proposed standards, EPA
has considered the key issues associated
with growth in penetration of zeroemission vehicles, including charging
infrastructure and hydrogen production.
In this section, we describe our
assessment of the appropriateness and
feasibility of these proposed standards
and present a technology pathway for
achieving each of those standards
through increased ZEV adoption. In this
section, we also present and request
comment on an alternative that would
provide a more gradual phase-in of the
standards. As described in Section II.H.,
EPA also requests comment on setting
GHG standards starting in MYs 2027
through 2032 that would reflect: values
less stringent than the lower stringency
alternative for certain market segments,
values in between the proposed
standards and the alternative standards,
values in between the proposed
standards and those that would reflect
ZEV adoption levels (i.e., percent of
ZEVs in production volumes) used in
California’s ACT, values that would
reflect the level of ZEV adoption in the
ACT program, and values beyond those
that would reflect ZEV adoption levels
in ACT such as the 50- to 60-percent
ZEV adoption range.
In the beginning of this section, we
first describe the public health and
welfare need for GHG emission
reductions (Section II.A). In Section II.B,
we provide an overview of the
comments the Agency received in
response to the GHG standards
previously proposed as part of the
211 See the HD GHG Phase 2 rule (81 FR 73478,
October 25, 2016), the Heavy-Duty Engine and
Vehicle Technical Amendment rule (86 FR 34308,
June 29, 2021), and the HD2027 rule (88 FR 4296,
January 24, 2023). In this rulemaking, EPA is not
reopening any portion of our heavy-duty
compliance provisions, flexibilities, and testing
procedures, including those in 40 CFR parts 1037,
1036, and 1065, other than those specifically
identified in this document as the subject of our
proposal or a solicitation for comment. For
example, while EPA is proposing to revise discrete
elements of the HD ABT program, EPA is not
reopening the general availability of ABT.
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HD2027 NPRM. In Section II.C, we
provide a brief overview of the existing
CO2 emission standards that we
promulgated in HD GHG Phase 2.
Section II.D contains our technology
assessment and Section II.E includes
our assessment of technology costs,
EVSE costs, operating costs, and
payback. Section II.F includes the
proposed standards and the analysis
demonstrating the feasibility and
Section II.G discusses the feasibility and
appropriateness of the proposed
emission standards under the Clean Air
Act. Section II.H presents potential
alternatives to the proposed standards,
including requests for comment on
standards other than those proposed.
Finally, Section II.I summarizes our
consideration of small businesses.
A. Public Health and Welfare Need for
GHG Emission Reductions
The transportation sector is the largest
U.S. source of GHG emissions,
representing 27 percent of total GHG
emissions.212 Within the transportation
sector, heavy-duty vehicles are the
second largest contributor, at 25
percent.213 GHG emissions have
significant impacts on public health and
welfare as set forth in EPA’s 2009
Endangerment and Cause or Contribute
Findings under CAA section 202(a) and
as evidenced by the well-documented
scientific record.214
Elevated concentrations of GHGs have
been warming the planet, leading to
changes in the Earth’s climate including
changes in the frequency and intensity
of heat waves, precipitation, and
extreme weather events; rising seas; and
retreating snow and ice. The changes
taking place in the atmosphere as a
result of the well-documented buildup
of GHGs due to human activities are
altering the climate at a pace and in a
way that threatens human health,
society, and the natural environment.
While EPA is not making any new
scientific or factual findings with regard
to the well-documented impact of GHG
emissions on public health and welfare
in support of this rule, EPA is providing
some scientific background on climate
change to offer additional context for
this rulemaking and to increase the
212 Inventory of U.S. Greenhouse Gas Emissions
and Sinks: 1990–2020 (EPA–430–R–22–003),
published April 2022.
213 Ibid.
214 See 74 FR 66496, December 15, 2009; see also
EPA’s Denial of Petitions Relating to the
Endangerment and Cause or Contribute Findings for
Greenhouse Gases Under Section 202(a) of the
Clean Air Act, available at https://www.epa.gov/
system/files/documents/2022-04/decision_
document.pdf.
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public’s understanding of the
environmental impacts of GHGs.
Extensive additional information on
climate change is available in the
scientific assessments and the EPA
documents that are briefly described in
this section, as well as in the technical
and scientific information supporting
them. One of those documents is EPA’s
2009 Endangerment and Cause or
Contribute Findings for Greenhouse
Gases Under section 202(a) of the CAA
(74 FR 66496, December 15, 2009). In
the 2009 Endangerment Finding, the
Administrator found under section
202(a) of the CAA that elevated
atmospheric concentrations of six key
well-mixed GHGs—CO2, methane (CH4),
nitrous oxide (N2O), hydrofluorocarbons
(HFCs), perfluorocarbons (PFCs), and
sulfur hexafluoride (SF6)—‘‘may
reasonably be anticipated to endanger
the public health and welfare of current
and future generations’’ (74 FR 66523).
The 2009 Endangerment Finding,
together with the extensive scientific
and technical evidence in the
supporting record, documented that
climate change caused by human
emissions of GHGs (including HFCs)
threatens the public health of the U.S.
population. It explained that by raising
average temperatures, climate change
increases the likelihood of heat waves,
which are associated with increased
deaths and illnesses (74 FR 66497).
While climate change also increases the
likelihood of reductions in cold-related
mortality, evidence indicates that the
increases in heat mortality will be larger
than the decreases in cold mortality in
the United States (74 FR 66525). The
2009 Endangerment Finding further
explained that compared with a future
without climate change, climate change
is expected to increase tropospheric
ozone pollution over broad areas of the
United States., including in the largest
metropolitan areas with the worst
tropospheric ozone problems, and
thereby increase the risk of adverse
effects on public health (74 FR 66525).
Climate change is also expected to cause
more intense hurricanes and more
frequent and intense storms of other
types and heavy precipitation, with
impacts on other areas of public health,
such as the potential for increased
deaths, injuries, infectious and
waterborne diseases, and stress-related
disorders (74 FR 66525). Children, the
elderly, and the poor are among the
most vulnerable to these climate-related
health effects (74 FR 66498).
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The 2009 Endangerment Finding also
documented, together with the
extensive scientific and technical
evidence in the supporting record, that
climate change touches nearly every
aspect of public welfare 215 in the
United States., including: changes in
water supply and quality due to changes
in drought and extreme rainfall events;
increased risk of storm surge and
flooding in coastal areas and land loss
due to inundation; increases in peak
electricity demand and risks to
electricity infrastructure; and the
potential for significant agricultural
disruptions and crop failures (though
offset to a lesser extent by carbon
fertilization). These impacts are also
global and may exacerbate problems
outside the United States. that raise
humanitarian, trade, and national
security issues for the U.S. (74 FR
66530).
The most recent information
demonstrates that the climate is
continuing to change in response to the
human-induced buildup of GHGs in the
atmosphere. Recent scientific
assessments show that atmospheric
concentrations of GHGs have risen to a
level that has no precedent in human
history and that they continue to climb,
primarily because of both historic and
current anthropogenic emissions, and
that these elevated concentrations
endanger our health by affecting our
food and water sources, the air we
breathe, the weather we experience, and
our interactions with the natural and
built environments.
Global average temperature has
increased by about 1.1 degrees Celsius
(°C) (2.0 degrees Fahrenheit (°F)) in the
2011–2020 decade relative to 1850–
1900. The IPCC determined with
medium confidence that this past
decade was warmer than any multicentury period in at least the past
100,000 years. Global average sea level
has risen by about 8 inches (about 21
centimeters (cm)) from 1901 to 2018,
with the rate from 2006 to 2018 (0.15
inches/year or 3.7 millimeters (mm)/
year) almost twice the rate over the 1971
to 2006 period, and three times the rate
of the 1901 to 2018 period. The rate of
sea level rise during the 20th Century
was higher than in any other century in
at least the last 2,800 years. The CO2
215 The CAA states in section 302(h) that ‘‘[a]ll
language referring to effects on welfare includes,
but is not limited to, effects on soils, water, crops,
vegetation, manmade materials, animals, wildlife,
weather, visibility, and climate, damage to and
deterioration of property, and hazards to
transportation, as well as effects on economic
values and on personal comfort and well-being,
whether caused by transformation, conversion, or
combination with other air pollutants.’’ 42 U.S.C.
7602(h).
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being absorbed by the ocean has
resulted in changes in ocean chemistry
due to acidification of a magnitude not
seen in 65 million years 216 putting
many marine species—particularly
calcifying species—at risk. Humaninduced climate change has led to
heatwaves and heavy precipitation
becoming more frequent and more
intense, along with increases in
agricultural and ecological droughts 217
in many regions.218 The NCA4 found
that it is very likely (greater than 90
percent likelihood) that by mid-century,
the Arctic Ocean will be almost entirely
free of sea ice by late summer for the
first time in about 2 million years.219
Coral reefs will be at risk for almost
complete (99 percent) losses with 1 °C
(1.8 °F) of additional warming from
today (2 °C or 3.6 °F since preindustrial).
At this temperature, between 8 and 18
percent of animal, plant, and insect
species could lose over half of the
geographic area with suitable climate for
their survival, and 7 to 10 percent of
rangeland livestock would be projected
to be lost. The IPCC similarly found that
climate change has caused substantial
damages and increasingly irreversible
losses in terrestrial, freshwater, and
coastal and open ocean marine
ecosystems.220
216 IPCC (2018): Global Warming of 1.5 °C. An
IPCC Special Report on the impacts of global
warming of 1.5 °C above pre-industrial levels and
related global greenhouse gas emission pathways, in
the context of strengthening the global response to
the threat of climate change, sustainable
development, and efforts to eradicate poverty
[Masson-Delmotte, V., P. Zhai, H.-O. Portner, D.
Roberts, J. Skea, P.R. Shukla, A. Pirani, W.
Moufouma-Okia, C. Pe´an, R. Pidcock, S. Connors,
J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E.
Lonnoy, T. Maycock, M. Tignor, and T. Waterfield
(eds.)].
217 These are drought measures based on soil
moisture.
218 IPCC (2021): Summary for Policymakers. In:
Climate Change 2021: The Physical Science Basis.
Contribution of Working Group I to the Sixth
Assessment Report of the Intergovernmental Panel
on Climate Change [Masson-Delmotte, V., P. Zhai,
A. Pirani, S.L. Connors, C. Pe´an, S. Berger, N.
Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang,
K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K.
Maycock, T. Waterfield, O. Yelekc¸i, R. Yu and B.
Zhou (eds.)]. Cambridge University Press.
219 USGCRP (2018): Impacts, Risks, and
Adaptation in the United States: Fourth National
Climate Assessment, Volume II [Reidmiller, D.R.,
C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M.
Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S.
Global Change Research Program, Washington, DC,
USA, 1515 pp. doi: 10.7930/NCA4.2018.
220 IPCC (2022): Summary for Policymakers [H.-O.
Po¨rtner, D.C. Roberts, E.S. Poloczanska, K.
Mintenbeck, M. Tignor, A. Alegrı´a, M. Craig, S.
Langsdorf, S. Lo¨schke, V. Mo¨ller, A. Okem (eds.)].
In: Climate Change 2022: Impacts, Adaptation and
Vulnerability. Contribution of Working Group II to
the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change [H.-O.
Po¨rtner, D.C. Roberts, M. Tignor, E.S. Poloczanska,
K. Mintenbeck, A. Alegrı´a, M. Craig, S. Langsdorf,
S. Lo¨schke, V. Mo¨ller, A. Okem, B. Rama (eds.)].
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In 2016, the Administrator issued a
similar finding for GHG emissions from
aircraft under section 231(a)(2)(A) of the
CAA.221 In the 2016 Endangerment
Finding, the Administrator found that
the body of scientific evidence amassed
in the record for the 2009 Endangerment
Finding compellingly supported a
similar endangerment finding under
CAA section 231(a)(2)(A), and also
found that the science assessments
released between the 2009 and the 2016
Findings ‘‘strengthen and further
support the judgment that GHGs in the
atmosphere may reasonably be
anticipated to endanger the public
health and welfare of current and future
generations’’ (81 FR 54424). Pursuant to
the 2009 Endangerment and Cause or
Contribute Findings, CAA section 202(a)
requires EPA to issue standards
applicable to emissions of those
pollutants from new motor vehicles. See
Coalition for Responsible Regulation,
684 F.3d at 116–125, 126–27;
Massachusetts, 549 U.S. at 533. See also
Coalition for Responsible Regulation,
684 F.3d at 127–29 (upholding EPA’s
light-duty GHG emission standards for
MYs 2012–2016 in their entirety).222
Since the 2016 Endangerment Finding,
the climate has continued to change,
with new observational records being
set for several climate indicators such as
global average surface temperatures,
GHG concentrations, and sea level rise.
Additionally, major scientific
assessments continue to be released that
further advance our understanding of
the climate system and the impacts that
GHGs have on public health and welfare
both for current and future generations.
These updated observations and
projections document the rapid rate of
current and future climate change both
globally and in the United
States.223 224 225 226
Cambridge University Press, Cambridge, UK and
New York, NY, USA, pp. 3–33, doi:10.1017/
9781009325844.001.
221 ‘‘Finding that Greenhouse Gas Emissions from
Aircraft Cause or Contribute to Air Pollution That
May Reasonably Be Anticipated To Endanger Public
Health and Welfare.’’ 81 FR 54422, August 15, 2016.
(‘‘2016 Endangerment Finding’’).
222 See also EPA’s Denial of Petitions Relating to
the Endangerment and Cause or Contribute
Findings for Greenhouse Gases Under Section
202(a) of the Clean Air Act (Apr. 2022), available
at https://www.epa.gov/system/files/documents/
2022-04/decision_document.pdf.
223 USGCRP, 2018: Impacts, Risks, and
Adaptation in the United States: Fourth National
Climate Assessment, Volume II [Reidmiller, D.R.,
C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M.
Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S.
Global Change Research Program, Washington, DC,
USA, 1515 pp. doi: 10.7930/NCA4.2018. https://
nca2018.globalchange.gov.
224 Roy, J., P. Tschakert, H. Waisman, S. Abdul
Halim, P. Antwi-Agyei, P. Dasgupta, B. Hayward,
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B. Summary of Comments Received
From HD2027 NPRM
We received a significant number of
comments to the proposed updates to
the HD GHG emission standards
proposed as part of the HD2027
NPRM.227 A number of commenters
provided support and reasoning for
revising the HD CO2 standards while a
number of other commenters expressed
concerns about reopening the HD GHG
Phase 2 program. This Section II.B
includes a summary of the comments
received. Commenters who would like
EPA to further consider in this
rulemaking any relevant comments that
they provided on the HD2027 NPRM
regarding proposed HD vehicle GHG
standards for the MYs at issue in this
proposal must resubmit those comments
to EPA during this proposal’s comment
period. EPA considered the comments
received in response to the HD2027
NPRM when developing this Phase 3
proposal. The proposed standards were
developed based on a more in-depth
analysis of the potential for
electrification of the heavy-duty sector
and attendant emissions reductions than
was used in the HD2027 NPRM analysis
and is described in Sections II.D
through II.F. This analysis addresses
many of the concerns raised in
comments summarized in the following
subsections, such as the need to
consider a wide range of HD
applications, technology and operating
costs of BEVs, the impact of heating and
cooling on the energy demands of
electric vehicles, infrastructure
concerns, and the potential impact of
weight and space for packaging of
M. Kanninen, D. Liverman, C. Okereke, P.F. Pinho,
K. Riahi, and A.G. Suarez Rodriguez, 2018:
Sustainable Development, Poverty Eradication and
Reducing Inequalities. In: Global Warming of 1.5 °C.
An IPCC Special Report on the impacts of global
warming of 1.5 °C above pre-industrial levels and
related global greenhouse gas emission pathways, in
the context of strengthening the global response to
the threat of climate change, sustainable
development, and efforts to eradicate poverty
[Masson-Delmotte, V., P. Zhai, H.-O. Po¨rtner, D.
Roberts, J. Skea, P.R. Shukla, A. Pirani, W.
Moufouma-Okia, C. Pe´an, R. Pidcock, S. Connors,
J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E.
Lonnoy, T. Maycock, M. Tignor, and T. Waterfield
(eds.)]. In Press. https://www.ipcc.ch/sr15/chapter/
chapter-5.
225 National Academies of Sciences, Engineering,
and Medicine. 2019. Climate Change and
Ecosystems. Washington, DC: The National
Academies Press. https://doi.org/10.17226/25504.
226 NOAA National Centers for Environmental
Information, State of the Climate: Global Climate
Report for Annual 2020, published online January
2021, retrieved on February 10, 2021, from https://
www.ncdc.noaa.gov/sotc/global/202013.
227 For the complete set of comments, please see
U.S. EPA, ‘‘Control of Air Pollution from New
Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards—Response to Comments.’’ (RTC) Section
28. Docket EPA–HQ–OAR–201 9–0055.
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batteries. This analysis also includes
consideration of the IRA provisions that
provide significant financial incentives
for the heavy-duty ZEV market and
reduce or eliminate the cost difference
between ICE vehicles and ZEVs. In
consideration of some commenters’
concerns about the time needed for
research plans, product development,
manufacturing investment, and charging
infrastructure, we discuss these topics
in our technical analysis supporting this
NPRM. As described in Section II.H.,
EPA also requests comment on setting
GHG standards starting in MYs 2027
through 2032 that would reflect: values
less stringent than the lower stringency
alternative for certain market segments,
values in between the proposed
standards and the alternative standards,
values in between the proposed
standards and those that would reflect
ZEV adoption levels (i.e., percent of
ZEVs in production volumes) used in
California’s ACT, values that would
reflect the level of ZEV adoption in the
ACT program, and values beyond those
that would reflect ZEV adoption levels
in ACT such as the 50- to 60-percent
ZEV adoption range.
1. Summary of Comments in Support of
Revising the Phase 2 GHG Emission
Standards for MY 2027
Many commenters, including nongovernmental organizations, states, and
mass comment campaigns, provided
support for revising the targeted HD
vehicle MY 2027 CO2 emission
standards to reflect the increase in
electrification of the HD market and
attendant potential for additional
emission reductions. Additionally,
many commenters suggested that EPA
should further reduce the emission
standards in MYs 2027 through 2029
beyond the levels proposed because of
the accelerating adoption of HD ZEVs.
Many commenters also highlighted that
five additional states besides California
adopted the California ACT program in
late 2021 and noted that this would also
drive additional electrification in the
HD segment of the transportation
sector.228 Finally, some commenters
pointed to the ‘‘Multi-State Medium and
Heavy-Duty Zero Emission Vehicle
Memorandum of Understanding’’
(Multi-State MOU) signed by 17 states
and the District of Columbia
establishing goals to increase HD
electric vehicle sales in those
jurisdictions to 30 percent by 2030 and
100 percent by 2050. Commenters also
provided a number of reports that
evaluate the potential of electrification
228 Ibid. Many commenters in HD2027 RTC
Section 28.1.1 pointed to ACT.
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of the HD sector in terms of adoption
rates, costs, and other factors.
Some of the commenters provided
specific recommendations for HD ZEV
adoption rates in the MYs 2027 through
2029 timeframe. For example, the
American Council for an EnergyEfficient Economy (ACEEE) suggested
that, based on a recent NREL study, EPA
could set standards that reflect 20
percent electrification in MY 2027 and
up to 40 percent in MY 2029.229 The
Environmental Defense Fund (EDF)
suggested standards to achieve 80
percent sales of ZEVs for new school
and transit buses and 40 percent of new
Class 4–7 vehicles and Class 8 shorthaul vehicles by MY 2029.230 EDF also
referenced an analysis from
Environmental Resources Management
(ERM) that included a range of
scenarios, with midpoint scenarios
projecting HD ZEV deployment in
excess of 20 percent in MY 2029 and
more optimistic scenarios projecting HD
ZEV sales of over 33 percent of all Class
4–8 single unit trucks, short-haul
tractors, and school and transit buses in
MY 2029.231 The ICCT suggested HD
ZEV ranges of 15 to 40 percent
depending on the vehicle segment in
MY 2027, increasing up to 40 to 80
percent in MY 2029.232 Moving Forward
Network suggested that ZEVs could
comprise 20 percent of new sales in MY
2027 and increase 10 percent each year,
with a goal of 100 percent by MY
2035.233 Tesla referenced a NREL study,
a forecast from Americas Commercial
Transportation Research Co. (ACT
Research) that projected a 26 percent
sales share of HD ZEVs nationwide in
2030, and another study that projected
25 percent of the global HD fleet will be
electric by 2030.234 Other commenters,
229 ACEEE comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–2852–A1.
Referencing Catherine Ledna et al., ‘Decarbonizing
Medium-& Heavy-Duty On-Road Vehicles: ZeroEmission Vehicles Cost Analysis’ (NREL, March
2022), available at https://www.nrel.gov/docs/
fy22osti/82081.pdf.
230 EDF comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1,
pp.16–17.
231 EDF comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1
(citing Rachel MacIntosh, Sophie Tolomiczenko,
Grace Van Horn. April 2022. Electric Vehicle
Market Update: Manufacturer Commitments and
Public Policy Initiatives Supporting Electric
Mobility in the U.S. and Worldwide, ERM for EDF,
Version 6 (April 2022), available at https://
blogs.edf.org/climate411/files/2022/04/electric_
vehicle_market_report_v6_april2022.pdf.
232 ICCT Comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1211–A1,
p. 6.
233 Moving Forward Network Comments on the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1277–A1, pp. 19–20.
234 Tesla Comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1219–A1,
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such as AMPLY Power (rebranded to bp
plus), suggest that the federal CO2
emission standards should achieve ZEV
deployments on par with California’s
ACT program.235
Some commenters also referred to
manufacturer statements regarding such
manufacturers’ projections for HD
electrification. For example, ACEEE
pointed to Volvo’s and Scania’s
announcements for global electrification
targets of 50 percent by 2030.236 EDF
pointed to several manufacturer’s
statements.237 First, EDF noted Daimler
Trucks North America has committed to
offering only carbon-neutral trucks in
the United States by 2039 and expects
that by 2030, as much as 60 percent of
its sales will be ZEVs.238 Second, EDF
noted Navistar has a goal of having 50
percent of its sales volume be ZEVs by
2030, and its commitment to achieve
100 percent zero emissions by 2040
across all operations and carbonneutrality by 2050.239
Finally, some commenters discussed
hydrogen-powered ICEs and asserted
that there are benefits associated with
that technology as a potential CO2reducing technology for the HD segment
of the transportation sector.240
p.9 (citing HDT Truckinginfo, ACT: Third of Class
4–8 Vehicles to be Battery-Electric in 10 Year (June
4, 2021); Fleet Owner, Disruption in trucking
technology (Jan. 13, 2020); and MJ Bradley,
Medium- & Heavy-Duty Vehicles: Market Structure,
Environmental Impact, and EV Readiness (Aug. 11,
2022)).
235 AMPLY Comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1236–A1,
p. 1.
236 ACEEE Comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–0055–
2852–A1. Citing Scania, ‘Scania’s Electrification
Roadmap,’ Scania Group, November 24, 2021,
https://www.scania.com/group/en/home/
newsroom/news/2021/Scanias-electrificationroadmap.html; AB Volvo, ‘Volvo Trucks Launches
Electric Truck with Longer Range,’ Volvo Group,
January 14, 2022, https://www.volvogroup.com/en/
news-and-media/news/2022/jan/news4158927.html.
237 EDF comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1.
238 EDF comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1
(citing David Cullen, ‘‘Daimler to Offer Carbon
Neutral Trucks by 2039,’’ (October 25, 2019),
https://www.truckinginfo.com/343243/daimleraims-to-offer-only-co2-neutral-trucks-by-2039-inkey-markets (last accessed October 2022) and
Deborah Lockridge, ‘‘What Does Daimler Truck
Spin-off Mean for North America?,’’ Trucking Info
(November 11, 2021), https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america (last
accessed October 2022)).
239 EDF comments on the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1
(citing Navistar presentation at the Advanced Clean
Transportation Expo, Long Beach, CA (May 9–11,
2022)).
240 BorgWarner comments on the HD2027 NPRM.
See Docket Entry EPA–HQ–OAR–2019–0055–1234–
A1, p. 3; Westport Fuel Systems comments on the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1278–A1, p. 5.
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2. Summary of Comments Expressing
Concern With Revising the Phase 2 GHG
Emission Standards for MY 2027
Some commenters raised concerns
with the HD2027 NPRM proposed
changes to certain HD GHG Phase 2 CO2
emission standards. Some highlighted
the significant investment and lead time
required for development and
verification of durability of ZEVs and
stated EPA should not adopt standards
that project broad adoption of heavyduty ZEVs.
Some commenters stated that EPA
should not reopen the HD GHG Phase 2
emission standards.241 Several
manufacturers and suppliers pointed to
the need for regulatory certainty and
stability, stating that reopening the
Phase 2 standards would threaten their
long-term investments and production
planning. Some commenters went
further and stated that certain
technologies that EPA projected for use
to meet the existing Phase 2 emission
standards are seeing lower-thanexpected penetration rates in MY 2021;
these commenters suggested that EPA
relax the Phase 2 standards.242 The
technologies highlighted by the
commenters suggesting that EPA relax
Phase 2 standards include tamperresistant automatic shutdown systems,
neutral idle, low rolling resistance tires,
stop-start, and advanced transmission
shift strategies.
Commenters also stated that it takes
time to develop ZEV technologies for
the wide range of HD applications. They
also raised concerns regarding asserted
high costs and long lead times
associated with the necessary charging
infrastructure, the weight impact of
batteries, the impact of battery
degradation and ambient temperatures
on the range of electric vehicles, and the
impact on operations due to the time
required to charge. Commenters also
raised issues regarding the upstream
and lifecycle emissions impact of ZEVs,
including minerals and battery
manufacturing, battery disposal and
recycling, potential higher tire and
brake wear from electric vehicles, and
241 Daimler Trucks comments on the HD2027
NPRM. See Docket Entry EPA–HQ–OAR–2019–
0055–1168–A1, p.112; Navistar Comments on the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1318–A1, p. 6; PACCAR Comments on
the HD2027 NPRM. See Docket Entry EPA–HQ–
OAR–2019–0055–1346–A1, p. 3; Truck and Engine
Manufacturer’s Association Comments on the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1203–A1, pp. 7–8; Volvo Group
Comments on the HD2027 NPRM. See Docket Entry
EPA–HQ–OAR–2019–0055–1324–A1, p. 7.
242 Truck and Engine Manufacturer’s Association
Comments on the HD2027 NPRM. See Docket Entry
EPA–HQ–OAR–2019–0055–1203–A1, p. 108.
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the availability of minerals and other
supply chain issues.
Some commenters raised concerns
about the approach used in the HD2027
NPRM to project ZEV sales in MY 2027.
Concerns raised by commenters include
the uncertainty of the actual production
levels needed to meet California ACT
program requirements; that EPA has not
approved a waiver for the California
ACT program and, therefore, should not
consider full implementation of that
program; and that the current HD ZEVs
are expensive.
One commenter raised concerns
related to small businesses. The
commenter stated that its less diverse
product mix and low sales volume
present challenges in meeting the
proposed GHG standards in the HD2027
NPRM.
C. Background on the CO2 Emission
Standards in the HD GHG Phase 2
Program
In the Phase 2 Heavy-Duty GHG rule,
we finalized GHG emission standards
tailored to three regulatory categories of
HD vehicles—heavy-duty pickups and
vans, vocational vehicles, and
combination tractors.243 In addition, we
set separate standards for the engines
that power combination tractors and for
the engines that power vocational
vehicles. The heavy-duty vehicle CO2
emission standards are in grams per tonmile, which represents the grams of CO2
emitted to move one ton of payload a
distance of one mile. In promulgating
the Phase 2 standards, we explained
that the stringency of the Phase 2
standards were derived on a fleet
average technology mix basis and that
the emission averaging provisions of
ABT meant that the regulations did not
require all vehicles to meet the
standards (contrasted with the banking
and trading provisions of the HD GHG
Phase 2 ABT program which were not
relied upon in selecting the stringency
the HD GHG Phase 2 standards). For
example, we projected that diversified
manufacturers would continue to use
the averaging provisions in the ABT
program to meet the standards on
average for each of their vehicle
families. In addition, the Phase 2
program established subcategories of
vehicles (i.e., custom chassis vocational
243 We also set standards for certain types of
trailers used in combination with tractors (see 81
FR 73639, October 25, 2016). As described in
Section III of this preamble, we are proposing to
remove the regulatory provisions related to trailers
in 40 CFR part 1037 to carry out a decision by the
U.S. Court of Appeals for the D.C. Circuit, which
vacated the portions of the HD GHG Phase 2 final
rule that apply to trailers. Truck Trailer
Manufacturers Association v. EPA, 17 F.4th 1198
(D.C. Cir. 2021).
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vehicles and heavy-haul tractors) that
were specifically designed to recognize
the limitations of certain vehicle
applications to adopt some technologies
due to specialized operating
characteristics or generally low sales
volumes with prohibitively long
payback periods. The vehicles certified
to the custom chassis vocational vehicle
standards are not permitted to bank or
trade credits and some have limited
averaging provisions under the HD GHG
Phase 2 ABT program.244
In this proposal, we continue to
expect averaging would play an
important role in manufacturer
strategies to meet the proposed
standards. In Section II.F, we are
proposing new standards for vocational
vehicles and combination tractors,
which we project are feasible to meet
through a technology pathway where
vehicle manufacturers would adopt ZEV
technologies for a portion of their
product lines. This Section II.C includes
additional background information on
these two vehicle categories. At this
time, we are not proposing to update
engine standards in 40 CFR 1036.108.
Additionally, we intend to separately
pursue a combined light-duty and
medium-duty rulemaking to propose
more stringent standards for complete
and incomplete vehicles at or below
14,000 pounds. GVWR that are certified
under 40 CFR part 86, subpart S.
Manufacturers of incomplete vehicles at
or below 14,000 pounds GVWR would
continue to have the option of either
meeting the greenhouse gas standards
under 40 CFR parts 1036 and 1037, or
instead meeting the greenhouse gas
standards with chassis-based
measurement procedures under 40 CFR
part 86, subpart S.
We are continuing and are not
reopening the existing approach taken
in both HD GHG Phase 1 and Phase 2,
that compliance with the vehicle
exhaust CO2 emission standards is
based on CO2 emissions from the
vehicle. See 76 FR 57123 (September 15,
2011); see also 77 FR 51705 (August 24,
2012), 77 FR 51500 (August 27, 2012),
and 81 FR 75300 (October 25, 2016).
EPA’s heavy-duty standards have been
in place as engine- and vehicle-based
standards for decades, for all engine and
vehicle technologies. We estimated the
upstream emission impact of the
proposed standards for heavy-duty
vehicles on both the refinery and
electricity generation sectors, as shown
in Section V, and those analyses also
support the proposed CO2 emission
standards.
244 See
40 CFR 1037.105(h)(2).
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1. Vocational Vehicles
Vocational vehicles include a wide
variety of vehicle types, spanning Class
2b-8, and serve a wide range of
functions. We define vocational vehicles
as all heavy-duty vehicles greater than
8,500 lb GVWR that are not certified
under 40 CFR part 86, subpart S, or a
combination tractor under 40 CFR
1037.106.245 Some examples of
vocational vehicles include urban
delivery trucks, refuse haulers, utility
service trucks, dump trucks, concrete
mixers, transit buses, shuttle buses,
school buses, emergency vehicles, motor
homes, and tow trucks. The HD GHG
Phase 2 vocational vehicle program also
includes a special regulatory
subcategory called vocational tractors,
which covers vehicles that are
technically tractors but generally
operate more like vocational vehicles
than line-haul tractors. These vocational
tractors include those designed to
operate off-road and in certain intra-city
delivery routes.
The existing HD GHG Phase 2 CO2
standards for vocational vehicles are
based on the performance of a wide
array of control technologies. In
particular, the HD GHG Phase 2
vocational vehicle standards recognize
detailed characteristics of vehicle
powertrains and drivelines. Driveline
improvements present a significant
opportunity for reducing fuel
consumption and CO2 emissions from
vocational vehicles. However, there is
no single package of driveline
technologies that will be equally
suitable for all vocational vehicles,
because there is an extremely broad
range of driveline configurations
available in the market. This is due in
part to the variety of final vehicle build
configurations, ranging from a purposebuilt custom chassis to a commercial
chassis that may be intended as a multipurpose stock vehicle. Furthermore, the
wide range of applications and driving
patterns of these vocational vehicles
leads manufacturers to offer a variety of
drivelines, as each performs differently
in use.
In the final HD GHG Phase 2 rule, we
recognized the diversity of vocational
vehicle applications by setting unique
CO2 emission standards evaluated over
composite drive cycles for 23 different
regulatory subcategories. The program
includes vocational vehicle standards
that allow the technologies that perform
best at highway speeds and those that
perform best in urban driving to each be
properly recognized over appropriate
drive cycles, while avoiding potential
245 See
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unintended results of forcing vocational
vehicles that are designed to serve in
different applications to be measured
against a single drive cycle. The vehicle
CO2 emissions are evaluated using
EPA’s Greenhouse Gas Emissions Model
(GEM) over three drive cycles, where
the composite weightings vary by
subcategory, with the intent of
balancing the competing pressures to
recognize the varying performance of
technologies, serve the wide range of
customer needs, and maintain a
workable regulatory program.246 The HD
GHG Phase 2 primary vocational
standards, therefore, contain
subcategories for Regional, Multipurpose, and Urban drive cycles in each
of the three weight classes (Light HeavyDuty (Class 2b-5), Medium Heavy-Duty
(Class 6–7) and Heavy Heavy-Duty
(Class 8)), for a total of nine unique
subcategories.247 These nine
subcategories apply for compressionignition (CI) vehicles. We separately, but
similarly, established six subcategories
of spark-ignition (SI) vehicles. In other
words, there are 15 separate numerical
performance-based emission standards
for each model year.
EPA also established optional custom
chassis categories in the Phase 2 rule in
recognition of the unique technical
characteristics of these applications.
These categories also recognize that
many manufacturers of these custom
chassis are not full-line heavy-duty
vehicle companies and thus do not have
the same flexibilities as other firms in
the use of the Phase 2 program
emissions averaging program which
could lead to challenges in meeting the
standards EPA established for the
overall vocational vehicle and
combination tractor program. We
therefore established optional custom
chassis CO2 emission standards for
Motorhomes, Refuse Haulers, Coach
Buses, School Buses, Transit Buses,
Concrete Mixers, Mixed Use Vehicles,
and Emergency Vehicles.248 In total,
EPA set CO2 emission standards for 15
subcategories of vocational vehicles and
eight subcategories of specialty vehicle
246 GEM is an EPA vehicle simulation tool used
to certify HD vehicles. A detailed description of
GEM can be found in the Phase 2 Regulatory
Impacts Analysis or at https://www.epa.gov/
regulations-emissions-vehicles-and-engines/
greenhouse-gas-emissions-model-gem-medium-andheavy-duty.
247 See 40 CFR 1037.140(g) and (h).
248 The numeric values of the optional custom
chassis standards are not directly comparable to the
primary vocational vehicle standards. As explained
in the HD GHG Phase 2 rule, there are
simplifications in GEM that produce higher or
lower CO2 emissions. 81 FR 73686–73688. October
25, 2016.
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types for a total of 23 vocational vehicle
subcategories.
The HD GHG Phase 2 standards phase
in over a period of seven years,
beginning with MY 2021. The HD GHG
Phase 2 program progresses in threeyear stages with an intermediate set of
standards in MY 2024 and final
standards in MY 2027 and later. In the
HD GHG Phase 2 final rule, we
identified a potential technology path
for complying with each of the three
increasingly stringent stages of the HD
GHG Phase 2 program standards. These
standards are based on the performance
of more efficient engines, workday idle
reduction technologies, improved
transmissions including mild hybrid
powertrains, axle technologies, weight
reduction, electrified accessories, tire
pressure systems, and tire rolling
resistance improvements. We developed
the Phase 2 vocational vehicle standards
using the methodology where we
applied fleet average technology mixes
to fleet average baseline vehicle
configurations, and each average
baseline and technology mix was
unique for each vehicle subcategory.249
When the HD GHG Phase 2 final rule
was promulgated in 2016, we
established CO2 standards on the
premise that electrification of the heavyduty market would occur in the future
but was unlikely to occur at significant
sales volumes in the timeframe of the
program. As a result, the Phase 2
vocational vehicle CO2 standards were
not in any way premised on the
application of ZEV technologies.
Instead, we finalized BEV, PHEV, and
FCEV advanced technology credit
multipliers within the HD GHG ABT
program to incentivize a transition to
these technologies (see Section III of this
preamble for further discussion on this
program and proposed changes). Details
regarding the HD GHG Phase 2
standards can be found in the HD GHG
Phase 2 final rule preamble, and the HD
GHG Phase 2 vocational vehicle
standards are codified at 40 CFR part
1037.250
weight rating (GVWR) of 26,001 to
35,000 pounds; Class 8 with a GVWR
over 33,000 pounds; and Heavy-haul
with a gross combined weight rating of
greater than or equal to 120,000
pounds.251 The Class 7 and 8 tractor cab
configurations are either day cab or
sleeper cab. Day cab tractors are
typically used for shorter haul
operations, whereas sleeper cabs are
often used in long haul operations. EPA
set CO2 emission standards for 10
tractor subcategories.
Similar to the vocational program,
implementation of the HD GHG Phase 2
tractor standards began in MY 2021 and
will be fully phased in for MY 2027. In
the HD GHG Phase 2 final rule, EPA
analyzed the feasibility of achieving the
CO2 standards and identified technology
pathways for achieving the standards.
The existing HD GHG Phase 2 CO2
emission standards for combination
tractors reflect reductions that can be
achieved through improvements in the
tractor’s powertrain, aerodynamics,
tires, idle reduction, and other vehicle
systems as demonstrated using GEM. As
we did for vocational vehicles, we
developed a potential technology
package for each of the tractor
subcategories that represented a fleet
average application of a mix of
technologies to demonstrate the
feasibility of the standard for each
MY.252 EPA did not premise the HD
GHG Phase 2 CO2 tractor emission
standards on application of hybrid
powertrains or ZEV technologies.
However, we predicted some limited
use of these technologies in MY 2021
and beyond and we finalized BEV,
PHEV, and FCEV advanced technology
credit multipliers within the HD GHG
ABT program to incentivize a transition
to these technologies (see Section III of
this preamble for further discussion on
this program and proposed changes).
More details can be found in the HD
GHG Phase 2 final rule preamble, and
the HD GHG Phase 2 tractor standards
are codified at 40 CFR part 1037.253
2. Combination Tractors
In HD GHG Phase 1, we developed a
regulatory structure for CO2, nitrous
oxide (N2O), and methane (CH4)
emission standards that apply to the
engine, separate from the HD vocational
vehicle and tractor. The regulatory
structure includes separate standards for
spark-ignition engines (such as gasoline
The tractor regulatory structure is
attribute-based in terms of dividing the
tractor category into ten subcategories
based on the tractor’s weight rating, cab
configuration, and roof height. The
tractors are subdivided into three weight
ratings—Class 7 with a gross vehicle
3. Heavy-Duty Engines
251 See
249 81
FR 73715, October 25, 2016.
250 81 FR 73677–73725, October 25, 2016.
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FR 73602–73611, October 25, 2016.
253 81 FR 73571, October 25, 2016.
252 81
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engines) and compression-ignition
engines (such as diesel engines), and for
heavy heavy-duty (HHD), medium
heavy-duty (MHD) and light heavy-duty
(LHD) engines, that also apply to
alternative fuel engines. We also used
this regulatory structure for HD engines
in HD GHG Phase 2. More details can be
found in the HD GHG Phase 2 final rule
preamble, and the HD GHG Phase 2
engine standards are codified at 40 CFR
part 1036.254
4. Heavy-Duty Vehicle Average,
Banking, and Trading Program
Beginning in HD GHG Phase 1, EPA
adopted an averaging, banking, and
trading (ABT) program for CO2 emission
credits that allows ABT within a vehicle
weight class.255 For the HD GHG Phase
2 ABT program, the three credit
averaging sets for HD vehicles are Light
Heavy-Duty Vehicles, Medium HeavyDuty Vehicles, and Heavy Heavy-Duty
Vehicles. This approach allows ABT
between CI-powered vehicles, SIpowered vehicles, BEVs, FCEVs, and
hybrid vehicles in the same weight
class, which have the same regulatory
useful life. Although the vocational
vehicle emission standards are
subdivided by Urban, Multi-purpose,
and Regional regulatory subcategories,
credit exchanges are currently allowed
between them within the same weight
class. However, these averaging sets
currently exclude vehicles certified to
the separate optional custom chassis
standards. Finally, the ABT program
currently allows credits to exchange
between vocational vehicles and tractors
within a weight class.
ABT is commonly used by vehicle
manufacturers for the HD GHG Phase 2
program. In MY 2022, 93 percent of the
vehicle families (256 out of 276
families) certified used ABT.256
Similarly, 29 out of 40 manufacturers in
MY 2022 used ABT to certify some or
all of their vehicle families. Most of the
manufacturers that did not use ABT
produced vehicles that were certified to
the optional custom chassis standards
where the banking and trading
components of ABT are not allowed,
and averaging is limited.257
254 81
FR 73553–73571, October 25, 2016.
CFR 1037.701 through 1037.750.
256 U.S. EPA Heavy-Duty Vehicle Certification
Data. Last accessed on January 25, 2023 at https://
www.epa.gov/compliance-and-fuel-economy-data/
annual-certification-data-vehicles-engines-andequipment.
257 See 40 CFR 1037.105(h)(2) for details.
255 40
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D. Vehicle Technologies
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As explained in Section ES.B, EPA is
both proposing to revise the MY 2027
HD vehicle CO2 emission standards and
proposing new CO2 emission standards
that phase in annually from MY 2028
through 2032 for HD vocational vehicles
and tractors. We are proposing that
these Phase 3 vehicle standards are
appropriate and feasible, including
consideration of cost of compliance and
other factors, for their respective MYs
and vehicle subcategories through
technology improvements in several
areas. To support the feasibility and
appropriateness of the proposed
standards, we evaluated each
technology and estimated a potential
technology adoption rate in each vehicle
subcategory per MY (our technology
packages) that EPA projects is
achievable based on nationwide
production volumes, considering lead
time, technical feasibility, cost, and
other factors. At the same time, the
proposed standards are performancebased and do not mandate any specific
technology for any manufacturer or any
vehicle subcategory. The following
subsections describe the GHG emissionreducing technologies for HD vehicles
considered in the proposal, including
those for HD vehicles with ICE (Section
II.D.1), BEVs (Section II.D.2), and FCEVs
(Section II.D.3), as well as a summary of
the technology assessment that supports
the feasibility of the proposed Phase 3
standards (Section II.D.4) and the
primary inputs we used in our new
technology assessment tool, Heavy-Duty
Technology Resource Use Case Scenario
(HD TRUCS), that we developed to
evaluate the design features needed to
meet the power and energy demands of
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various HD vehicles when using ZEV
technologies, as well as costs related to
manufacturing, purchasing and
operating ICE and ZEV technologies
(Section II.D.5).
We are not proposing changes to the
existing Phase 2 GHG emission
standards for HD engines and are not
reopening those standards in this
rulemaking. As noted in the following
section and DRIA Chapter 1.4, there are
technologies available that can reduce
GHG emissions from HD engines, and
we anticipate that many of them will be
used to meet the MY 2024 and MY 2027
CO2 emission standards, while
development is underway to meet the
new low NOX standards for MY 2027.258
At this time, we believe that additional
GHG reductions would be best driven
through more stringent vehicle-level
CO2 emission standards as we are
proposing in this rulemaking, which
also account for the engine’s CO2
emissions, instead of also proposing
new CO2 emission standards that apply
to heavy-duty engines.
1. Technologies To Reduce GHG
Emissions From HD Vehicles With ICEs
The CO2 emissions of HD vehicles
vary depending on the configuration of
the vehicle. Many aspects of the vehicle
impact its emissions performance,
including the engine, transmission,
drive axle, aerodynamics, and rolling
resistance. For this proposed rule, as we
did for HD Phase 1 and Phase 2, we are
proposing more stringent CO2 emissions
standards for each of the regulatory
subcategories based on the performance
of a package of technologies that reduce
CO2 emissions. And in this rule, we
developed technology packages that
include both ICE vehicle and ZEV
technologies.
For each regulatory subcategory, we
selected a theoretical ICE vehicle with
CO2-reducing technologies to represent
the average MY 2027 vehicle that meets
the existing MY 2027 Phase 2 standards.
These vehicles are used as baselines
from which to evaluate costs and
effectiveness of additional technologies
and more stringent standards on a pervehicle basis. The MY 2027 technology
package for tractors include
technologies such as improved
aerodynamics; low rolling resistance
tires; tire inflation systems; efficient
engines, transmissions, and drivetrains,
and accessories; and extended idle
reduction for sleeper cabs, The GEM
inputs for the individual technologies
that make up the fleet average
technology package that meets the
existing MY 2027 CO2 tractor emission
standards are shown in Table II–1.259
The comparable table for vocational
vehicles is shown in Table II–2.260 The
technology package for vocational
vehicles include technologies such as
low rolling resistance tires; tire inflation
systems; efficient engines,
transmissions, and drivetrains; weight
reduction; and idle reduction
technologies. Note that the HD GHG
Phase 2 standards are performancebased; EPA does not require this
specific technology mix, rather the
technologies shown in Table II–1 and
II–2 are potential pathways for
compliance.
259 81
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FR 73714, October 25, 2016.
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TABLE II–1—GEM INPUTS FOR MY 2027 VEHICLES MEETING THE EXISTING MY 2027 TRACTOR CO2 EMISSION
STANDARDS
Class 7
Class 8
Day cab
Low roof
Day cab
Mid roof
High roof
Low roof
Sleeper cab
Mid roof
High roof
Low roof
Mid roof
High roof
2027MY 15L
Engine 455 HP
2027MY 15L
Engine 455 HP
2027MY 15L
Engine 455 HP
2027MY 15L
Engine 455 HP
5.08
6.21
5.26
5.8
5.8
5.6
6.2
6.2
5.8
3%
3%
3%
0.6%
0.6%
0.6%
0.03%
0.03%
0.03%
Engine Fuel Map
2027MY 11L
Engine 350 HP
2027MY 11L
Engine 350 HP
2027MY 11L
Engine 350 HP
2027MY 15L
Engine 455 HP
2027MY 15L
Engine 455 HP
Aerodynamics (CdA in m2)
5.12
6.21
5.67
5.12
6.21
5.67
Steer Tire Rolling Resistance (CRR in kg/metric ton)
5.8
5.8
5.6
6.2
6.2
5.8
5.8
5.8
5.6
Drive Tire Rolling Resistance (CRR in kg/metric ton)
6.2
6.2
5.8
Extended Idle Reduction Weighted Effectiveness
N/A
N/A
N/A
N/A
N/A
N/A
Transmission = 10 speed Manual Transmission
Gear Ratios = 12.8, 9.25, 6.76, 4.90, 3.58, 2.61, 1.89, 1.38, 1.00, 0.73
Drive Axle Ratio = 3.21 for day cabs, 3.16 for sleeper cabs
6 x 2 Axle Weighted Effectiveness
N/A
N/A
N/A
0.6%
0.6%
0.6%
Transmission Type Weighted Effectiveness = 1.6%
Neutral Idle Weighted Effectiveness
0.2%
0.2%
0.2%
0.2%
0.2%
0.2%
Direct Drive Weighted Effectiveness = 1.0%
Transmission Efficiency Weighted Effectiveness = 0.7%
Axle Efficiency Improvement = 1.6%
Air Conditioner Efficiency Improvements = 0.3%
Accessory Improvements = 0.2%
Predictive Cruise Control = 0.8%
Automatic Tire Inflation Systems = 0.4%
Tire Pressure Monitoring System = 0.7%
TABLE II–2—GEM INPUTS FOR MY 2027 VEHICLES MEETING THE EXISTING MY 2027 VOCATIONAL VEHICLE CO2
EMISSION STANDARDS
LHD (Class 2b–5)
Urban
MHD (Class 6–7)
Multi-purpose
Regional
Urban
HHD (Class 8)
Multi-purpose
Regional
Urban
Multi-purpose
Regional
SI Engine Fuel Map
2018 MY 6.8L, 300 hp engine
CI Engine Fuel Map
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2027 MY 7L, 200 hp Engine
2027 MY 7L, 270 hp Engine
2027 MY 11L,
350 hp Engine
2027 MY 11L, 350 hp Engine and
2027 MY 15L 455hp Engine
Torque Converter Lockup in 1st Gear (adoption rate)
50%
50%
50%
50%
50%
50%
30%
30%
0%
0%
25%
30%
6μ2 Disconnect Axle (adoption rate)
0%
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TABLE II–2—GEM INPUTS FOR MY 2027 VEHICLES MEETING THE EXISTING MY 2027 VOCATIONAL VEHICLE CO2
EMISSION STANDARDS—CONTINUED
LHD (Class 2b–5)
Urban
Multi-purpose
MHD (Class 6–7)
Regional
Urban
HHD (Class 8)
Multi-purpose
Regional
Urban
Multi-purpose
Regional
90%
70%
70%
90%
0%
20%
20%
0%
0%
70%
70%
0%
6.2
6.2
6.2
6.9
7.5
6.9
6.9
75
125
125
125
Automatic Engine Shutdown (adoption rate)
70%
70%
90%
70%
70%
Stop-Start (adoption rate)
30%
30%
0%
30%
30%
Neutral Idle (adoption rate)
60%
60%
0%
60%
60%
Steer Tire Rolling Resistance (CRR kg/metric ton)
6.8
6.2
6.2
6.9
6.9
6.9
6.7
6.2
6.2
Drive Tire Rolling Resistance (CRR kg/metric ton)
7.5
6.9
Weight Reduction (lb)
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75
75
75
75
Technologies exist today and
continue to evolve to improve the
efficiency of the engine, transmission,
drivetrain, aerodynamics, and tire
rolling resistance in HD vehicles and
therefore reduce their CO2 emissions. As
discussed in the preamble to the HD
GHG Phase 2 program and shown in
Table II–1 and Table II–2, there are a
variety of such technologies. In
developing the Phase 2 CO2 emission
standards, we developed technology
packages that were premised on
technology adoption rates of less than
100 percent. There may be an
opportunity for further improvements
and increased adoption through MY
2032 for many of these technologies
included in the HD GHG Phase 2
technology package used to set the
existing MY 2027 standards. For
example, DRIA Chapter 1.4 provides an
update to tractor aerodynamic designs
developed by several of the
manufacturers as part of the DOE
SuperTruck program that demonstrate
aerodynamics that are better than those
used in the existing MY 2027 standards’
HD GHG Phase 2 technology package for
high roof sleeper cab tractors in MYs
beyond 2027.
The heavy-duty industry has also
been developing hybrid powertrains, as
described in DRIA Chapter 1.4.1.1.
Hybrid powertrains consist of an ICE as
well as an electric drivetrain and some
designs also incorporate plug-in
capability. Hybrid powered vehicles
may provide CO2 emission reductions
through the use of downsized engines,
recover energy through regenerative
braking system that is normally lost
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while braking, and provide additional
engine-off operation during idling and
coasting. Hybrid powertrains are
available today in a number of heavyduty vocational vehicles including
passenger van/shuttle bus, transit bus,
street sweeper, refuse hauler, and
delivery truck applications. Heavy-duty
hybrid vehicles may include a power
takeoff (PTO) system that is used to
operate auxiliary equipment, such as the
boom/bucket on a utility truck or the
water pump on a fire truck.
Furthermore, manufacturers may
develop new ICE vehicle technologies
through the MY 2032 timeframe. An
example of a new technology under
development that would reduce GHG
emissions from HD vehicles with ICEs is
hydrogen-fueled internal combustion
engines (H2–ICE). These engines are
currently in the prototype stage of
innovation 261 for HD vehicles, but have
also been demonstrated as technically
feasible in the past in the LD fleet. H2–
ICE is a technology that produces zero
hydrocarbon (HC), carbon monoxide
(CO), and CO2 engine-out emissions.
H2–ICE are similar to existing internal
combustion engines and could leverage
the technical expertise manufacturers
have developed with existing products.
H2–ICEs use many of the same
components as existing internal
combustion engines for many key
systems. Similarly, H2–ICE vehicles
could be built on the same assembly
261 Comment submitted by DTNA to EPA Docket,
EPA–HQ–OAR–2017–0055–1168. See Control of Air
Pollution from New Motor Vehicles: Heavy-Duty
Engine and Vehicle Standards Response to
Comments, EPA–420–R–22–036 December 2022.
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lines as existing ICE vehicles, by the
same workers and with many of the
same suppliers.
Though many engine components
would be similar between H2–ICE and,
for example, a comparable existing
diesel-fueled ICE, components such as
the cylinder head, piston and piston
rings would be unique to H2–ICE as
well as intake and exhaust valves and
seats to control H2 leakage during
combustion. Fuel systems would require
changes to fuel injectors and the fuel
delivery system. The H2–ICE
aftertreatment systems may be simpler
than today’s comparable diesel-fueled
ICEs. They likely would not require the
use of a diesel oxidation catalyst (DOC)
or a diesel particulate filter (DPF)
system. NOX emissions are still present
in the H2–ICE exhaust and therefore a
selective catalyst reduction (SCR)
system would likely still be required,
though smaller in size than an existing
comparable diesel-fueled ICE
aftertreatment system. The use of lean
air-fuel ratios, not exhaust gas
recirculation (EGR), would be the most
effective way to control NOX in H2
combustion engines. EGR is less
effective with H2 due to the absence of
CO2 in the exhaust gas. Additional
information regarding H2–ICE can be
found in the DRIA Chapter 1.4.2.
One key significant difference
between an existing comparable dieselfueled ICE and a H2–ICE is the fuel
storage tanks. The hydrogen storage
tanks that would replace existing ICE
fuel tanks are significantly more
expensive. The fuel tanks used by H2–
ICE would be the same as those used by
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a FCEV and may be either compressed
storage (350 or 700 Bar) or cryogenic
(storage temperatures reaching ¥253
degrees Celsius). Please refer to Section
II.D.3 for the discussion regarding H2
fuel storage tanks. Furthermore, like
FCEVs, H2 refueling infrastructure
would be required for H2–ICE vehicles.
We request comment on whether we
should include additional GHGreducing technologies and/or higher
levels of adoption rates of existing
technologies for ICE vehicles in our
technology assessment for the final rule.
2. HD Battery Electric Vehicle
Technology
The HD BEV market has been growing
significantly since MY 2018. DRIA
Chapter 1.5 includes BEV vehicle
information on over 170 models
produced by over 60 manufacturers that
cover a broad range of applications,
including school buses, transit buses,
straight trucks, refuse haulers, vans,
tractors, utility trucks, and others,
available to the public through MY
2024.
The battery electric propulsion system
includes a battery pack that provides the
energy to the motor that moves the
vehicle. In this section, and in DRIA
Chapter 1.5.1 and 2.4, we discuss
battery technology that can be found in
both BEVs and FCEVs. We request
comment on our assessment of heavyduty battery designs, critical materials,
and battery manufacturing.
i. Batteries Design Parameters
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Battery design involves
considerations related to cost 262 and
performance including specific
energy 263 and power, energy density,264
temperature impact, durability, and
safety. These parameters typically vary
based on the cathode and anode
materials, and the conductive
electrolyte medium at the cell level.
Different battery chemistries have
different intrinsic values. Here we
provide a brief overview of the different
262 Cost, here, is associated with cost of the
battery design produced at scale instead of decrease
in cost of batteries from high volume production.
This cost may be associated with using more
expensive minerals (e.g. nickel and cobalt instead
of iron phosphate). Alternatively, some battery cell
components may be more expensive for the same
chemistry. For example, power battery cells are
more expensive to manufacture than energy battery
cells because these cells require thinner electrodes
which are more complex to produce.
263 Battery specific energy (also referred to as
gravimetric energy density) is a measure of battery
energy per unit of mass.
264 Gravimetric energy density (specific energy) is
a measure of battery energy per unit of mass.
Volumetric energy density (also called energy
density) is a measure of battery energy per unit of
volume.
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energy and power parameters of
batteries and battery chemistries.
a. Battery Energy and Power Parameters
Specific energy and power and energy
density are a function of how much
energy or power can be stored per unit
mass (in Watt-hour per kilogram (Wh/
kg) or watt per kilogram (W/kg)) or
volume (in Watt-hour per liter (Wh/L)).
Therefore, for a given battery weight or
mass, the energy (in kilowatt-hour or
kWh) can be calculated. For example, a
battery with high specific energy and a
lower weight may yield the same
amount of energy as a chemistry with a
lower specific energy and more weight.
Battery packs have a ‘‘nested’’ design
where a group of cells are combined to
make a battery module and a group of
modules are combined to make a battery
pack. Therefore, the battery systems can
be described on the pack, module, and
cell levels. Design choices about the
different energy and power capacities to
prioritize in a battery can depend on its
battery chemistry. Common battery
chemistries today include nickelmanganese-cobalt (NMC), nickel-cobaltaluminum (NCA), and iron-phosphate
(LFP) based-chemistries. Nickel-based
chemistries typically have higher
gravimetric and volumetric energy
densities than iron phosphate-based
chemistries. Since energy or power is
only housed at the chemistry level, any
additional mass such as the cell,
module, and pack casings will only add
to the weight of the battery without
increasing the energy of the overall
system. Therefore, some pack producers
have eliminated the module in favor of
a ‘‘cell-to-pack’’ design in recent
years.265
External factors, especially
temperature, can have a strong influence
on the performance of the battery.
Heavy-duty BEVs today include thermal
management systems to keep the battery
operating within a desired temperature
range, which is commonly referred to as
conditioning of the battery. Therefore,
while operating a vehicle in cold
temperatures, some of the battery energy
is used to heat both the battery packs
and the vehicle interior.266 Cold
temperatures, in particular, can result in
reduced mobility of the lithium ions in
the liquid electrolyte inside the battery;
for the driver, this may mean lower
range. Battery thermal management is
also used during hot ambient
temperatures to keep the battery from
overheating. We consider and account
265 BYD ‘‘blade’’ cells are an example of cell-topack technology.
266 https://www.aaa.com/AAA/common/AAR/
files/AAA-Electric-Vehicle-Range-TestingReport.pdf.
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25961
for the energy required for battery
thermal management in our analysis, as
discussed in Section II.D.5.ii.b.
b. Battery Durability
Another important battery design
consideration is the durability of the
battery. Durability is frequently
associated with cycle life, where cycle
life is the number of times a battery can
fully charge and discharge before the
battery is no longer used for its original
purpose. In 2015 the United Nations
Economic Commission for Europe (UN
ECE) began studying the need for a
Global Technical Regulation (GTR)
governing battery durability in lightduty vehicles. In 2021 it finalized
United Nations Global Technical
Regulation No. 22, ‘‘In-Vehicle Battery
Durability for Electrified Vehicles,’’ 267
or GTR No. 22, which provides a
regulatory structure for contracting
parties to set standards for battery
durability in light-duty BEVs and
PHEVs. Likewise, although not
finalized, the UN ECE GTR working
group began drafting language for HD
BEVs and hybrid electric vehicles. Loss
of electric range could lead to a loss of
utility, meaning electric vehicles could
be driven less and therefore displace
less distance travelled than might
otherwise be driven in conventional
vehicles. Furthermore, a loss in utility
could also dampen purchaser sentiment.
For batteries that are used in HD
BEVs, the state-of-health (SOH) is an
important design factor. The
environmental performance of
electrified vehicles may be affected by
excess degradation of the battery system
over time. However, the durability of a
battery is not limited to the cycling of
a battery, there are many phenomena
that can impact the duration of usability
of a battery. As a battery goes through
charge and discharge cycles, the SOH of
the battery decreases. Capacity fade,
increase in internal resistance, and
voltage loss, for example, are other
common metrics to measure the SOH of
a battery. These parameters together
help better understand and define the
longevity or durability of the battery.
The SOH and, in turn, the cycle life of
the battery is determined by both the
chemistry of the battery as well as
external factors including temperature.
The rate at which the battery is
discharged as well as the rate at which
it is charged will also impact the SOH
267 United Nations Economic Commission for
Europe, Addendum 22: United Nations Global
Technical Regulation No. 22, United Nations Global
Technical Regulation on In-vehicle Battery
Durability for Electrified Vehicles, April 14, 2022.
Available at: https://unece.org/sites/default/files/
2022-04/ECE_TRANS_180a22e.pdf.
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of the battery. Lastly, calendar aging, or
degradation of the battery while not in
use, can also contribute to the
deterioration of the battery.
There are a number of ways to
improve and prolong the battery life in
a vehicle. We took considerations on
maintaining the battery temperature
while driving by applying additional
energy required for conditioning the
battery. Furthermore, battery size is
increased by 20 percent to accommodate
additional energy that may be required
resulting from loss of capacity over
time.
c. HD BEV Safety Assessment
HD BEV systems must be designed to
always maintain safe operation. As with
any onroad vehicle, BEVs must be
robust while operating in temperature
extremes as well as rain and snow. The
BEV systems must be designed for
reasonable levels of immersion,
including immersion in salt water or
brackish water. BEV systems must also
be designed to be crashworthy and limit
damage that compromises safety. If the
structure is compromised by a severe
impact, the systems must provide first
responders with a way to safely conduct
their work at an accident scene. The HD
BEV systems must be designed to ensure
the safety of users, occupants, and the
general public in their vicinity.
In DRIA Chapter 1.5.4, we discuss the
industry codes and standards used by
manufacturers that guide safe design
and development of heavy-duty BEVs,
including those for developing battery
systems and charging systems that
protect people and the equipment.
These standards have already been
developed by the industry and are in
place for manufacturers to use today to
develop current and future products.
The standards guide the design of BEV
batteries to allow them to safely accept
and deliver power for the life of the
vehicle. The standards provide guidance
to design batteries that also handle
vibration, temperature extremes,
temperature cycling, water, and
mechanical impact from items such as
road debris. For HD BEVs to uphold
battery/electrical safety during and after
a crash, they are designed to maintain
high voltage isolation, prevent leakage
of electrolyte and volatile gases,
maintain internal battery integrity, and
withstand external fire that could come
from the BEV or other vehicle(s)
involved in a crash. NHTSA continues
work on battery safety requirements and
extend the applicability of FMVSS No.
305 to HD vehicles and would align
with the existing Global Technical
Regulation (GTR) No. 20 to include
safety requirements during normal
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operation, charging, and post-crash. We
request comment on our assessment that
HD BEVs can be designed to maintain
safety.
ii. Assessment of Battery Materials and
Production
Although the market share of lightduty and heavy-duty ZEVs in the United
States is already growing, EPA
recognizes that the proposed standards
may accelerate this trend. Assessing the
feasibility of incremental penetrations of
ZEVs that may result from the proposed
standards includes consideration of the
readiness of the supply chain to provide
the required quantities of critical
minerals, components, and battery
manufacturing capacity. This section
provides a general review of how we
considered supply chain and
manufacturing in this analysis, the
sources we considered, and how we
used this information in the analysis. It
also provides a high-level discussion of
the security implications of increased
demand for minerals and other
commodities used to manufacture ZEVs.
In developing these standards, we
considered the ability for global and
domestic manufacturing and critical
mineral capacity to respond to the
projected demand for ZEVs that
manufacturers may choose to produce to
comply with the proposed standards. As
described in this section, we consulted
with industry and government agency
sources (including DOE, U.S. Geological
Survey (USGS), and several analysis
firms) to collect information on
production capacity, price forecasts,
global mineral markets, and related
topics, and have considered this
information to inform our assumptions
about future manufacturing capabilities
and costs. We have included
consideration of the influence of critical
minerals and materials availability as
well as vehicle and battery
manufacturing capacities on the
production of ZEVs.
We believe that the proposed rate of
stringency is appropriate in light of this
assessment. It is also our assessment
that increased vehicle electrification in
the United States will not lead to a
critical long term dependence on foreign
imports of minerals or components, nor
that increased demand for these
products will become a vulnerability to
national security. First, in many cases
the reason that these products are often
sourced from outside of the United
States is not because the products
cannot be produced in the U.S., but
because other countries have already
invested in developing a supply chain
for their production. Moreover, the
United States will likely develop a
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domestic supply chain for these
products because U.S. manufacturers
will need to remain competitive in a
global market where electrification is
already proceeding rapidly. Second,
many vehicle manufacturers, suppliers,
startups, and related industries have
already recognized the need for
increased domestic production capacity
as a business opportunity, and are
basing business models on building out
various aspects of the supply chain.
Third, Congress and the Administration
have taken significant steps to accelerate
this activity by funding, facilitating, and
otherwise promoting the rapid growth of
U.S. supply chains for these products
through the Inflation Reduction Act, the
Bipartisan Infrastructure Law, and
numerous Executive Branch initiatives.
EPA has confidence that these efforts
are effectively addressing supply chain
concerns. Finally, utilization of critical
minerals is different from the utilization
of foreign oil, in that oil is consumed as
a fuel while minerals become a
constituent of manufactured vehicles.
Minerals that are imported for vehicle
production remain in the vehicle, and
can be reclaimed through recycling.
Each of these points will be expanded
in more detail in the sections below.
We request comment on our
assessment and data to support our
assessment of battery critical raw
materials and battery production for the
final rule.
a. Battery Critical Raw Materials
Critical minerals are generally
considered to include a large diversity
of products, ranging from relatively
plentiful materials that are constrained
primarily by production capacity and
refining, such as aluminum, to those
that are both relatively rare and costly
to process, such as the rare-earth metals
that are used in magnets for permanentmagnet synchronous motors (PMSMs)
that are used as the electric motors to
power heavy-duty ZEVs and some
semiconductor products. Extraction,
processing, and recycling of certain
critical minerals (such as lithium,
cobalt, nickel, magnesium, graphite and
rare earth metals) are also an important
part of the supply chain supporting the
production of battery components.
These minerals are also experiencing
increasing demand across many other
sectors of the global economy, not just
the transportation industry, as the world
seeks to reduce carbon emissions. As
with any emerging technology, a
transition period must take place in
which a robust supply chain develops to
support production of these products.
At the present time, they are commonly
sourced from global suppliers and do
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battery production, including nickel,
cobalt, graphite, and lithium.
Availability of critical minerals for
use in battery production depends on
two primary considerations: production
of raw minerals from mining (or
recycling) operations and refining
operations that produce purified and
processed substances (precursors,
electrolyte solutions, and finished
electrode powders) made from the raw
minerals, that can then be made into
battery cells.
As shown in Figure II–1, in 2019
about 50 percent of global nickel
production occurred in Indonesia,
Philippines, and Russia, with the rest
distributed around the world. Nearly 70
percent of cobalt originated from the
Democratic Republic of Congo, with
some significant production in Russia
and Australia, and about 20 percent in
the rest of the world. More than 60
percent of graphite production occurred
in China, with significant contribution
from Mozambique and Brazil for
another 20 percent. About half of
lithium was mined in Australia, with
Chile accounting for another 20 percent
and China about 10 percent.
not yet benefit from a fully developed
domestic supply chain.268 As demand
for these materials increases due to
increasing production of ZEVs, current
mining and processing capacity will
expand.
The U.S. Geological Survey lists 50
minerals as ‘‘critical to the U.S.
economy and national security.’’ 269 270
The Energy Act of 2020 defines a
‘‘critical mineral’’ as a non-fuel mineral
or mineral material essential to the
economic or national security of the
United States and which has a supply
chain vulnerable to disruption.271
Critical minerals are not necessarily
short in supply, but are seen as essential
to the manufacture of products that are
important to the economy or national
security. The risk to their availability
may stem from geological scarcity,
geopolitics, trade policy, or similar
factors.272
Emission control catalysts for ICE
vehicles utilize critical minerals
including cerium, palladium, platinum,
and rhodium. These are also required
for hybrid vehicles due to the presence
of the ICE. Critical minerals most
relevant to lithium-ion battery
production include cobalt, graphite,
lithium, manganese, and nickel, which
are important constituents of electrode
active materials, their presence and
relative amounts depending on the
chemistry formulation. Aluminum is
also used for cathode foils and in some
cell chemistries. Rare-earth metals are
used in permanent-magnet electric
machines, and include several elements
such as dysprosium, neodymium, and
samarium.
Some of the electrification
technologies that use critical minerals
have alternatives that use other minerals
or eliminate them entirely. For these,
vehicle manufacturers in some cases
have some flexibility to modify their
designs to reduce or avoid use of
minerals that are difficult or expensive
to procure. For example, in some ZEV
battery applications it is feasible and
increasingly common to employ an iron
phosphate cathode which has lower
energy density but does not require
cobalt, nickel, or manganese. Similarly,
rare earths used in permanent-magnet
electric machines have potential
alternatives in the form of ferrite or
other advanced magnets, or the use of
induction machines or advanced
externally excited motors, which do not
use permanent magnets.
This discussion therefore focuses on
minerals that are most critical for
BILLING CODE 6560–50–P
268 As mentioned in Preamble I.C.2.i and in DRIA
1.3.2.2, there are tax credit incentives in the IRA for
the production and sale of battery cells and
modules of up to $45 per kWh, which includes up
to 10 percent of the cost of producing applicable
critical materials that meet certain specifications
when such components or minerals are produced
in the United States.
269 U.S. Geological Survey, ‘‘U.S. Geological
Survey Releases 2022 List of Critical Minerals,’’
February 22, 2022. Available at: https://
www.usgs.gov/news/national-news-release/usgeological-survey-releases-2022-list-criticalminerals.
270 The full list includes: Aluminum, antimony,
arsenic, barite, beryllium, bismuth, cerium, cesium,
chromium, cobalt, dysprosium, erbium, europium,
fluorspar, gadolinium, gallium, germanium,
graphite, hafnium, holmium, indium, iridium,
lanthanum, lithium, lutetium, magnesium,
manganese, neodymium, nickel, niobium,
palladium, platinum, praseodymium, rhodium,
rubidium, ruthenium, samarium, scandium,
tantalum, tellurium, terbium, thulium, tin,
titanium, tungsten, vanadium, ytterbium, yttrium,
zinc, and zirconium.
271 See 2021 Draft List of Critical Minerals (86 FR
62199–62203).
272 International Energy Agency, ‘‘The Role of
Critical Minerals in Clean Energy Transitions,’’
World Energy Outlook Special Report, Revised
version. March 2022.
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According to the 100-day review
under E.O. on America’s Supply Chains
(E.O. 14017), of the major actors in
mineral refining, 60 percent of lithium
refining occurred in China, with 30
percent in Chile and 10 percent in
Argentina. 72 percent of cobalt refining
occurred in China, with another 17
percent distributed among Finland,
Canada, and Norway. 21 percent of
Class 1 nickel refining occurred in
Russia, with 16 percent in China, 15
percent in Japan and 13 percent in
Canada.273 Similar conclusions were
reached in an analysis by the
International Energy Agency, shown in
Figure II–2.
Currently, the United States is lagging
behind much of the rest of the world in
critical mineral production. Although
the United States has nickel reserves,
and opportunity also exists to recover
significant nickel from mine waste
remediation and similar activities, it is
more convenient for U.S. nickel to be
imported from other countries, with 68
percent coming from Canada, Norway,
Australia, and Finland, countries with
which the United States has good trade
relations.274 According to the USGS,
ample reserves of nickel exist in the
United States and globally, potentially
constrained only by processing
capacity.275 The United States has
numerous cobalt deposits but few are
developed while some have produced
cobalt only in the past; about 72 percent
of U.S. consumption is imported.276
Similar observations may be made about
graphite and lithium. Significant
lithium deposits do exist in the United
States in Nevada and California as well
as several other locations,277 278 and are
currently the target of development by
suppliers and vehicle manufacturers.
U.S. deposits of natural graphite
deposits also exist but graphite has not
been produced in the United States
since the 1950s and significant known
resources are largely undeveloped.279
Although predicting mineral supply
and demand into the future is
challenging, it is possible to identify
general trends likely to occur in the
future. As seen in Figure II–3 and Figure
II–4, preliminary projections prepared
by Li-Bridge for DOE,280 and presented
to the Federal Consortium for Advanced
Batteries (FCAB) 281 in November 2022,
indicate that global supplies of cathode
active material (CAM) used as a part of
the cathode manufacturing process and
lithium chemical product are expected
to be sufficient through 2035.
273 The White House, ‘‘Building Resilient Supply
Chains, Revitalizing American Manufacturing, and
Fostering Broad-Based Growth,’’ 100-Day Reviews
under Executive Order 14017, June 2021.
274 The White House, ‘‘Building Resilient Supply
Chains, Revitalizing American Manufacturing, and
Fostering Broad-Based Growth,’’ 100-Day Reviews
under Executive Order 14017, June 2021.
275 The White House, ‘‘Building Resilient Supply
Chains, Revitalizing American Manufacturing, and
Fostering Broad-Based Growth,’’ 100-Day Reviews
under Executive Order 14017, June 2021.
276 U.S. Geological Survey, ‘‘Cobalt Deposits in
the United States,’’ June 1, 2020. Available at
https://www.usgs.gov/data/cobalt-deposits-unitedstates.
277 U.S. Geological Survey, ‘‘Mineral Commodity
Summaries 2022—Lithium’’, January 2022.
Available at https://pubs.usgs.gov/periodicals/
mcs2022/mcs2022-lithium.pdf.
278 U.S. Geological Survey, ‘‘Lithium Deposits in
the United States,’’ June 1, 2020. Available at
https://www.usgs.gov/data/lithium-deposits-unitedstates.
279 U.S. Geological Survey, ‘‘USGS Updates
Mineral Database with Graphite Deposits in the
United States,’’ February 28, 2022.
280 Slides 6 and 7 of presentation by Li-Bridge to
Federal Consortium for Advanced Batteries (FCAB),
November 17, 2022.
281 U.S. Department of Energy, Vehicle
Technologies Office. ‘‘Federal Consortium for
Advanced Batteries (FCAB)’’. Available online:
https://www.energy.gov/eere/vehicles/federalconsortium-advanced-batteries-fcab.
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282 Bloomberg New Energy Finance, ‘‘Lithium-ion
Battery Pack Prices Rise for First Time to an
Average of $151/kWh,’’ December 6, 2022.
Accessed on December 6, 2022 at: https://
about.bnef.com/blog/lithium-ion-battery-packprices-rise-for-first-time-to-an-average-of-151-kwh/.
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characterized, projects continue through
engineering economic assessments, and
others begin permitting or construction.
For example, in October 2022, the IEA
projected that global Lithium Carbonate
Equivalent (LCE) production from
operating mines and those under
construction may sufficiently meet
primary demand until 2028 under the
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Stated Policies Scenario.283 In December
2022, BNEF projected lithium mine
production can meet end-use demand
283 International Energy Agency, ‘‘Committed
mine production and primary demand for lithium,
2020–2030,’’ October 26, 2022. Accessed on March
9, 2023 at https://www.iea.org/data-and-statistics/
charts/committed-mine-production-and-primarydemand-for-lithium-2020-2030.
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The most recent information indicates
that the market is responding robustly to
demand282 and lithium supplies are
expanding as new resources are
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until 2028.284 285 Notably, the BNEF data
is not exhaustive and includes only
three U.S. projects: Silver Peak (phase I
and II), Rhyolite Ridge (phase I), and
Carolina Lithium (phase I).
Additionally, in March 2023 DOE
communicated to EPA that DOE and
ANL have identified 21 additional
lithium production projects in the
United States in addition to the three
identified in the December 2022 BNEF
data. Were they to achieve commercial
operations, the 24 U.S. projects would
produce an additional 1,000 kilotons
per year LCE not accounted for in the
December BNEF analysis,286 and
suggests that lithium supplies would
meet the BNEF Net-Zero demand
projection.
In addition, the European Union is
seeking to promote rapid development
of Europe’s battery supply chains by
considering targeted measures such as
accelerating permitting processes and
encouraging private investment. To
these ends the European Parliament
proposed a Critical Raw Materials Act
on March 16, 2023, which includes
these and other measures to encourage
the development of new supplies of
critical minerals not currently
anticipated in market
projections.287 288 289 In DRIA 1.5.1.3 we
detail these and many other examples
that demonstrate how momentum has
picked up in the lithium market since
IEA’s May 2022 report. For more
discussion, please see DRIA 1.5.1.3.
Despite recent short-term fluctuations
in price, the price of lithium is expected
284 Sui, Lang. Memorandum to docket EPA–HQ–
OAR–2022–0985. Based on subscription data
available to BNEF subscribers at https://
www.bnef.com/interactive-datasets/2d5d59
acd9000031?tab=Dashboard
Demand&view=8472b6c7-e8cc-467f-b4a4-fe854
68fba3a.
285 Sui, Lang. Memorandum to docket EPA–HQ–
OAR–2022–0985. Based on subscription data
available to BNEF subscribers at https://
www.bnef.com/interactive-datasets/2d5d7ea4
a2000001.
286 Sui, Lang. Memorandum to docket EPA–HQ–
OAR–2022–0985. Department of Energy,
communication to EPA titled ‘‘Lithium Supplies—
additional datapoints and research,’’ March 8, 2023.
287 European Union, ‘‘7th High-Level Meeting of
the European Battery Alliance: main takeaways by
the Chair Marosˇ Sˇefcˇovicˇ and the Council
Presidency,’’ March 1, 2023. Accessed on March 9,
2023 at https://single-marketeconomy.ec.europa.eu/system/files/2023-03/
Main%20takeaways_7th%20HighLevel%20Meeting%20of%20EBA.pdf.
288 New York Times, ‘‘U.S. Eyes Trade Deals With
Allies to Ease Clash Over Electric Car Subsidies,’’
February 24, 2023.
289 European Parliament, ‘‘Proposal for a
regulation of the European Parliament and of the
Council establishing a framework for ensuring a
secure and sustainable supply of critical raw
materials,’’ March 16, 2023. https://single-marketeconomy.ec.europa.eu/publications/europeancritical-raw-materials-act_en.
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to stabilize at or near its historical levels
by the mid- to late-2020s.290 291 This
perspective is also supported by
proprietary battery price forecasts by
Wood Mackenzie that include the
predicted effect of temporarily elevated
mineral prices.292 This is consistent
with the BNEF battery price outlook
2022 which expects battery prices to
start dropping again in 2024, and
BNEF’s 2022 Battery Price Survey
which predicts that average pack prices
should fall below $100/kWh by 2026.293
Taken together these outlooks support
the perspective that lithium is not likely
to encounter a critical shortage as
supply responds to meet growing
demand.
As described in the following section,
the development of mining and
processing capacity in the United States
is a primary focus of efforts on the part
of both industry and the Administration
toward building a robust domestic
supply chain for electrified vehicle
production, and will be greatly
facilitated by the provisions of the BIL
and the IRA as well as large private
business investments that are already
underway and continuing.
b. Battery Market and Manufacturing
Capacity
Battery systems can be described on
the pack, module, and cell levels. A
pack typically consists of a group of
modules, a module consists of a group
of cells, and cells consist of the half-cell
electrodes. Cells can be directly
supplied to the manufacturer to be
assembled into modules and packs;
alternatively, cell producers may
assemble cells into modules before
sending the modules to another supplier
to be assembled into a pack, before then
sending it to the OEM for final
assembly. While there are hundreds of
reported automotive battery cell
producers, major LD automakers use
batteries produced by a handful of
battery cell manufacturers. These
suppliers include LG Chem, Samsung
SDI, SK Innovation, Panasonic/Tesla,
290 Sun et al., ‘‘Surging lithium price will not
impede the electric vehicle boom,’’ Joule,
doi:10.1016/j.joule. 2022.06.028 (https://dx.doi.org/
10.1016/j.joule.2022.06.028).
291 Green Car Congress, ‘‘Tsinghua researchers
conclude surging lithium price will not impede EV
boom,’’ July 29, 2022.
292 Sui, Lang. Memorandum to docket EPA–HQ–
OAR–2022–0985. Wood Mackenzie, ‘‘Battery & raw
materials—Investment horizon outlook to 2032,’’
accompanying data set, September 2022 (filename:
brms-data-q3–2022.xlsx).
293 Bloomberg New Energy Finance, ‘‘Lithium-ion
Battery Pack Prices Rise for First Time to an
Average of $151/kWh,’’ December 6, 2022.
Accessed on December 6, 2022 at: https://
about.bnef.com/blog/lithium-ion-battery-packprices-rise-for-first-time-to-an-average-of-151-kwh/.
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Contemporary Amperex Technology
Co., Limited (CATL) and BYD. A 2021
report developed by DOE’s Argonne
National Lab (ANL) found significant
growth in the annual battery supply
between 2010 and 2020.294
In both the LD and HD industry
sectors, there is a meaningful distinction
between 1) battery cell suppliers, and 2)
battery pack assemblers who refer to
themselves as battery producers while
using cells produced by a different cell
supplier, in understanding how impacts
from the increased production volumes
of cells and costs of cells in both
industries flow to these different types
of suppliers. The cost of cells occupies
a significant percent of the final pack
cost, and cell costs are inversely
proportional to cell production
volume.295 296 In other words, increased
cell production volume lowers the cost
of battery cells, which in turn lowers the
overall pack cost. Thus, though the LD
sector demand for automotive batteries
is significantly outpacing the demand
for vehicle batteries in the HD sector,
the battery cell industry for both sectors
will likely be significantly influenced by
the demand in the LD industry.
Although most global battery
manufacturing capacity is currently
located outside the U.S., most of the
batteries and cells present today in the
domestic EV fleet were manufactured in
the United States 297 We expect
domestic manufacturing of batteries and
cells to increase considerably over the
coming decade. According to the
Department of Energy, at least 13 new
battery plants are expected to become
operational in the United States within
the next four years.298 Among these 13
new battery plants include the following
activities by battery suppliers and
vehicle manufacturers. In partnership
with SK Innovation, Ford is building
three large new battery plants in
Kentucky and Tennessee.299 General
294 Argonne National Laboratory. ‘‘Lithium-Ion
Battery Supply Chain for E-Drive Vehicles in the
United States: 2010–2020.’’ 2021.
295 Argonne National Laboratory. ‘‘BatPaC Model
Software’’. Available online: https://www.anl.gov/
cse/batpac-model-software.
296 BloombergNEF. ‘‘Battery Pack Prices Fall to an
Average of $132/kWh, But Rising Commodity Prices
Start to Bite’’. November 30, 2021. Available online:
https://about.bnef.com/blog/battery-pack-pricesfall-to-an-average-of-132-kwh-but-risingcommodity-prices-start-to-bite.
297 Argonne National Laboratory, ‘‘Lithium-Ion
Battery Supply Chain for E-Drive Vehicles in the
United States: 2010–2020,’’ ANL/ESD–21/3, March
2021.
298 Department of Energy, Fact of the Week #1217,
‘‘Thirteen New Electric Vehicle Battery Plants Are
Planned in the U.S. Within the Next Five Years,’’
December 20, 2021.
299 Dunn, Jason. ‘‘Ford to build battery and
assembly plants in Kentucky and Tennessee for
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Motors is partnering with LG Energy
Solutions to build another three battery
cell manufacturing plants in Tennessee,
Michigan, and Ohio, and there are
discussions about another plant in
Indiana.300 LG Chem has also
announced plans for a cathode material
production facility in Tennessee, said to
be sufficient to supply 1.2 million highperformance electric vehicles per year
by 2027.301 CATL is considering
construction of plants in Arizona,
Kentucky, and South Carolina.302 In
addition, CATL is partnering with
Daimler Truck to expand their global
partnership to producm ion batteries for
their all electric long haul heavy duty
trucks starting 2024 to 2030.303
Panasonic, already partnering with
Tesla for its factories in Texas and
Nevada, is planning two new factories
in Oklahoma and Kansas.304
Furthermore, Tesla is also planning a
$3.6 billion expansion to their Nevada
Gigafactory to mass produce all electric
semi trucks.305 Toyota plans to be
operational with a plant in Greensboro,
North Carolina in 2025, and Volkswagen
in Chattanooga, Tennessee at about the
same time.306 307 According to S&P
massive acceleration of EV output’’. Autonomive
Logistics. September 28, 2021. Available online:
https://www.automotivelogistics.media/batterysupply-chain/ford-to-build-battery-and-assemblyplants-in-kentucky-and-tennessee-for-massiveacceleration-of-ev-output/42325.article#.
300 Shepardson, David. ‘‘GM, LG Energy drop
plan for fourth U.S. JV battery plant’’. Reuters.
January 20, 2023. Available online: https://
www.reuters.com/technology/gm-lg-energy-dropplan-fourth-us-jv-battery-plant-2023-01-20/.
301 LG Chem, ‘‘LG Chem to Establish Largest
Cathode Plant in US for EV Batteries,’’ Press
Release, November 22, 2022.
302 Randall, Chris. ‘‘CATL likely to build US
battery plant in Kentucky or South Carolina’’.
Electrive. May 6, 2022. Available online: https://
www.electrive.com/2022/05/06/catl-likely-to-buildus-battery-plant-in-kentucky-or-south-carolina/.
303 Kane, Mark. ‘‘Daimler and CATL Expand
Global Battery Partnership’’. InsideEVs. May 23,
2022. Available online: https://insideevs.com/news/
509050/daimler-catl-global-battery-partnership/.
304 Alvarez, Simon. ‘‘Tesla partner Panasonic
looking at potential EV battery plant in Oklahoma:
report’’. TeslaRati. August 26, 2022. Available
online: https://www.teslarati.com/tesla-panasonicplans-new-ev-battery-factory-usa/.
305 CNBC, ‘‘Tesla plans to spend $3.6 billion more
on battery and truck manufacturing in Nevada,’’
January 24, 2023. Accessed on March 21, 2023 at
https://www.cnbc.com/2023/01/24/tesla-plans-tospend-3point6-billion-more-on-manufacturing-innevada.html.
306 Toyota. ‘‘Toyota Announces $2.5 Billion
Expansion of North Carolina Plant with 350
Additional Jobs and BEV Battery Capacity’’. August
31, 2022. Available online: https://
pressroom.toyota.com/toyota-announces-2-5billion-expansion-of-north-carolina-plant-with-350additional-jobs-and-bev-battery-capacity/.
307 Doll, Scooter. ‘‘Volkswagen reportedly
considering a second US production site plus new
battery cell plant’’. Available online: https://
electrek.co/2022/04/29/volkswagen-reportedly-
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Global, announcements such as these
could result in a U.S. manufacturing
capacity of 382 GWh by 2025,308 and
580 GWh by 2027,309 up from roughly
60 GWh 310 311 today. More recently, the
Department of Energy estimates that
recent plant announcements for North
America to date could enable an
estimated 838 GWh of capacity by 2025,
896 GWh by 2027, and 998 GWh by
2030, the vast majority of which is cell
manufacturing capacity.312
The expected HD battery capacity
demand based on this proposed rule
would be 17 GWh in MY 2027 and grow
to 36 GWh by MY 2032 (as described in
DRIA 2.8.3.1), which is well below the
expected manufacturing capacity for
this time frame. It should be noted that
the projected U.S. HD battery demand
would be only a fraction of total U.S.
battery demand. In comparison, we
project in the Light- and Medium-Duty
Multipollutant Emissions Standards
Proposed Rule that the annual battery
production required for the light-duty
fleet would be slightly less than 900
GWh in MY 2030, and stabilize at
around 1,000 GWh per year for MY 2031
and beyond.313 Therefore, between the
two proposed highway motor vehicle
rules, the U.S. market could require 940
GWh of battery capacity by 2030 and
1050 GWh of battery capacity by 2032.
DOE estimates plant announcements of
∼1,000 GWh by 2030; furthermore, the
considering-a-second-us-production-site-plus-newbattery-cell-plant/.
308 S&P Global Market Intelligence, ‘‘US ready for
a battery factory boom, but now it needs to hold the
charge,’’ October 3, 2022. Accessed on November
22, 2022 at https://www.spglobal.com/
marketintelligence/en/news-insights/latest-newsheadlines/us-ready-for-a-battery-factory-boom-butnow-it-needs-to-hold-the-charge-72262329.
309 S&P Global Mobility, ‘‘Growth of Li-ion
battery manufacturing capacity in key EV markets,’’
May 20, 2022. Accessed on November 22, 2022 at
https://www.spglobal.com/mobility/en/researchanalysis/growth-of-liion-battery-manufacturingcapacity.html.
310 Federal Consortium for Advanced Batteries,
‘‘National Blueprint for Lithium Batteries 2021–
2030,’’ June 2021. Available at https://
www.energy.gov/sites/default/files/2021-06/FCAB
%20National%20Blueprint
%20Lithium%20Batteries%200621_0.pdf.
311 S&P Global Mobility, ‘‘Growth of Li-ion
battery manufacturing capacity in key EV markets,’’
May 20, 2022. Accessed on November 22, 2022 at
https://www.spglobal.com/mobility/en/researchanalysis/growth-of-liion-battery-manufacturingcapacity.html.
312 Argonne National Laboratory, ‘‘Assessment of
Light-Duty Plug-in Electric Vehicles in the United
States, 2010–2021,’’ ANL–22/71, November 2022.
313 The Light- and Medium-Duty Multipollutant
Emissions Standards proposed rule, titled ‘‘MultiPollutant Emissions Standards for Model Years
2027 and Later Light-Duty and Medium-Duty
Vehicles,’’ was signed by the Administrator on the
same day as this proposal. Available at https://
www.epa.gov/regulations-emissions-vehicles-andengines/proposed-rule-multi-pollutant-emissionsstandards-model.
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battery market is an international
market where IEA projects 3.7 terrawatt
hours (TWh) of battery globally by 2030
in their ‘‘Sustainable Development
Scenario’’ 314
In addition, the IRA and the BIL are
providing significant support to
accelerate these efforts to build out a
U.S. supply chain for mineral, cell, and
battery production. The IRA offers
sizeable incentives and other support
for further development of domestic and
North American manufacture of these
components. According to the
Congressional Budget Office, an
estimated $30.6 billion will be realized
by manufacturers through the Advanced
Manufacturing Production Credit,
which includes a tax credit to
manufacturers for battery production in
the United States. According to one
third-party estimate based on
information from Benchmark Mineral
Intelligence, the recent increase in U.S.
battery manufacturing plant
announcements could increase this
figure to $136 billion or more.315
Another $6.2 billion or more may be
realized through expansion of the
Advanced Energy Project Credit, a 30
percent tax credit for investments in
projects that reequip, expand, or
establish certain energy manufacturing
facilities.316 Together, these provisions
create a strong motivation for
manufacturers to support the continued
development of a North American
supply chain and already appear to be
proving influential on the plans of
manufacturers to procure domestic or
North American mineral and
component sources and to construct
domestic manufacturing facilities to
claim the benefits of the act.317 318
In addition, the BIL provides $7.9
billion to support development of the
domestic supply chain for battery
manufacturing, recycling, and critical
minerals.319 Notably, it supports the
314 IEA, ‘‘Annual EV battery demand projections
by region and scenario, 2020–2030’’, October 26,
2022. Available at https://www.iea.org/data-andstatistics/charts/annual-ev-battery-demandprojections-by-region-and-scenario-2020-2030.
315 Axois.com, ‘‘Axios What’s Next,’’ February 1,
2023. Accessed on March 1, 2023 at https://
www.axios.com/newsletters/axios-whats-next1185bdcc-1b58-4a12-9f15-8ffc8e63b11e.html
?chunk=0&utm_term=emshare#story0.
316 Congressional Research Service, ‘‘Tax
Provisions in the Inflation Reduction Act of 2022
(H.R. 5376),’’ August 10, 2022.
317 Subramanian, P., ‘‘Why Honda’s EV battery
plant likely wouldn’t happen without new climate
credits,’’ Yahoo Finance, August 29, 2022.
318 LG Chem, ‘‘LG Chem to Establish Largest
Cathode Plant in US for EV Batteries,’’ Press
Release, November 22, 2022.
319 Congressional Research Service, ‘‘Energy and
Minerals Provisions in the Infrastructure
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development and implementation of a
$675 million Critical Materials
Research, Development, Demonstration,
and Commercialization Program
administered by the Department of
Energy (DOE),320 and has created
numerous other programs in related
areas, such as for example, critical
minerals data collection by the
USGS.321 Provisions extend across
several areas including critical minerals
mining and recycling research, USGS
energy and minerals research, rare earth
elements extraction and separation
research and demonstration, and
expansion of DOE loan programs in
critical minerals and zero-carbon
technologies.322 323 The Department of
Energy is working to facilitate and
support further development of the
supply chain, by identifying weaknesses
for prioritization and rapidly funding
those areas through numerous programs
and funding opportunities.324 325 326
According to a final report from the
Department of Energy’s Li-Bridge
alliance,327 ‘‘the U.S. industry can
double its value-added share by 2030
(capturing an additional $17 billion in
direct value-add annually and 40,000
jobs in 2030 from mining to cell
manufacturing), dramatically increase
U.S. national and economic security,
and position itself on the path to a nearInvestment and Jobs Act (Pub. L. 117–58)’’,
February 16, 2022. https://crsreports.congress.gov/
product/pdf/R/R47034.
320 Department of Energy, ‘‘DOE Seeks Public
Input on Critical Materials Research Program to
Strengthen Clean Energy Technology
Manufacturing in America,’’ August 9, 2022.
Available at https://www.energy.gov/articles/bidenharris-administration-launches-675-millionbipartisan-infrastructure-law-program.
321 U.S. Geological Survey, ‘‘Bipartisan
Infrastructure Law supports critical-minerals
research in central Great Plains,’’ October 26, 2022.
Available at https://www.usgs.gov/news/state-newsrelease/bipartisan-infrastructure-law-supportscritical-minerals-research-central.
322 Congressional Research Service, ‘‘Energy and
Minerals Provisions in the Infrastructure
Investment and Jobs Act (Pub. L. 117–58)’’,
February 16, 2022. https://crsreports.congress.gov/
product/pdf/R/R47034.
323 International Energy Agency, ‘‘Infrastructure
and Jobs act: Critical Minerals,’’ October 26, 2022.
https://www.iea.org/policies/14995-infrastructureand-jobs-act-critical-minerals.
324 Department of Energy, Li-Bridge, ‘‘Building a
Robust and Resilient U.S. Lithium Battery Supply
Chain,’’ February 2023.
325 The White House, ‘‘Building Resilient Supply
Chains, Revitalizing American Manufacturing, and
Fostering Broad-Based Growth,’’ 100-Day Reviews
under Executive Order 14017, June 2021.
326 Federal Consortium for Advanced Batteries,
‘‘National Blueprint for Lithium Batteries 2021–
2030,’’ June 2021. Available at https://
www.energy.gov/sites/default/files/2021-06/FCAB
%20National%20Blueprint
%20Lithium%20Batteries%200621_0.pdf.
327 Argonne National Laboratory. ‘‘Li-Bridge’’.
Available online: https://www.anl.gov/li-bridge.
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circular economy by 2050.’’ 328 The $7.9
billion provided by the BIL for U.S.
battery supply chain projects 329
represents a total of about $14 billion
when industry cost matching is
considered.330 331 Other recently
announced projects will utilize another
$40 billion in private funding.332
According to DOE’s Li-Bridge alliance,
the total of these commitments already
represents more than half of the capital
investment that Li-Bridge considers
necessary for supply chain investment
to 2030.333
Further, the DOE Loan Programs
Office is administering a major loans
program focusing on extraction,
processing and recycling of lithium and
other critical minerals that will support
continued market growth,334 through
the Advanced Technology Vehicles
Manufacturing (ATVM) Loan Program
and Title 17 Innovative Energy Loan
Guarantee Program. This program
includes over $20 billion of available
loans and loan guarantees to finance
critical materials projects.
c. Mineral Security
As stated at the beginning of this
Section II.D, it is our assessment that
increased electrification in the U.S.
transportation sector does not constitute
a vulnerability to national security, for
several reasons supported by the
discussion in this preamble and in DRIA
1.5.1.2.
A domestic supply chain for battery
and cell manufacturing is rapidly
forming by the actions of stakeholders
including vehicle manufacturers and
suppliers who wish to take advantage of
the business opportunities that this
need presents, and by vehicle
328 Department of Energy, Li-Bridge, ’’ Building a
Robust and Resilient U.S. Lithium Battery Supply
Chain,’’ February 2023.
329 Congressional Research Service, ‘‘Energy and
Minerals Provisions in the Infrastructure
Investment and Jobs Act (Pub. L. 117–58)’’,
February 16, 2022. https://crsreports.congress.gov/
product/pdf/R/R47034.
330 Department of Energy, Li-Bridge, ‘‘Building a
Robust and Resilient U.S. Lithium Battery Supply
Chain,’’ February 2023 (p. 9).
331 Department of Energy, EERE Funding
Opportunity Exchange, EERE Funding Opportunity
Announcements. Accessed March 4, 2023 at https://
eere-exchange.energy.gov/Default.aspx#FoaId0
596def9-c1cc-478d-aa4f-14b472864eba.
332 Federal Reserve Bank of Dallas, ‘‘Automakers’
bold plans for electric vehicles spur U.S. battery
boom,’’ October 11, 2022. Accessed on March 4,
2023 at https://www.dallasfed.org/research/
economics/2022/1011.
333 Department of Energy, Li-Bridge, ‘‘Building a
Robust and Resilient U.S. Lithium Battery Supply
Chain,’’ February 2023 (p. 9).
334 Department of Energy Loan Programs Office,
‘‘Critical Materials Loans & Loan Guarantees,’’
https://www.energy.gov/sites/default/files/2021-06/
DOE-LPO_Program_Handout_Critical_Materials_
June2021_0.pdf.
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manufacturers who recognize the need
to remain competitive in a global market
that is shifting to electrification. It is
therefore already a goal of the U.S.
manufacturing industry to create a
robust supply chain for these products,
in order to supply not only the domestic
vehicle market, but also all of the other
applications for these products in global
markets as the world decarbonizes.
Further, the IRA and BIL are proving
to be a highly effective means by which
Congress and the Administration have
provided support for the building of a
robust supply chain, and to accelerate
this activity to ensure that it forms as
rapidly as possible. An example is the
work of Li Bridge, a public-private
alliance committed to accelerating the
development of a robust and secure
domestic supply chain for lithium-based
batteries. It has set forth a goal that by
2030 the United States should capture
60 percent of the economic value
associated with the U.S. domestic
demand for lithium batteries. Achieving
this target would double the economic
value expected in the United States
under ‘‘business as usual’’ growth.335
More evidence of recent growth in the
supply chain is found in a February
2023 report by Pacific Northwest
National Laboratory (PNNL), which
documents robust growth in the North
American lithium battery industry.336
Finally, it is important to note that
utilization of critical minerals is
different from the utilization of foreign
oil, in that oil is consumed as a fuel
while minerals become a constituent of
manufactured vehicles. That is, mineral
security is not a perfect analogy to
energy security. Supply disruptions and
fluctuating prices are relevant to critical
minerals as well, but the impacts of
such disruptions are felt differently and
by different parties. Disruptions in oil
supply or gasoline price has an
immediate impact on consumers
through higher fuel prices, and thus
constrains the ability to travel. In
contrast, supply disruptions or price
fluctuations of minerals affect only the
production and price of new vehicles. In
practice, short-term price fluctuations
do not always translate to higher
production cost as most manufacturers
purchase minerals via long-term
contracts that insulate them to a degree
from changes in spot prices. Moreover,
critical minerals are not a single
335 Department of Energy, Li-Bridge, ‘‘Building a
Robust and Resilient U.S. Lithium Battery Supply
Chain,’’ February 2023.
336 Pacific Northwest National Laboratory, ‘‘North
American Lithium Battery Materials V 1.2,’’
February 2023. Available at https://www.pnnl.gov/
projects/north-american-lithium-battery-materialsindustry-report.
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commodity but a number of distinct
commodities, each having its own
supply and demand dynamics, and
some being capable of substitution by
other minerals.337 Importantly, while oil
is consumed as a fuel and thus requires
continuous supply, minerals become
part of the vehicle and have the
potential to be recovered and recycled.
Thus even when minerals are imported
from other countries, their acquisition
adds to the domestic mineral stock that
is available for domestic recycling in the
future.
Over the long term, battery recycling
will be a critical component of the BEV
supply chain and will contribute to
mineral security and sustainability,
effectively acting as a domestically
produced mineral source that reduces
overall reliance on foreign-sourced
products. While the number of end-oflife BEV batteries available for recycling
will lag the market penetration of BEVs,
it is important to consider the projected
growth in development of a battery
recycling supply chain during the time
frame of the rule and beyond.
By 2050, battery recycling could be
capable of meeting 25 to 50 percent of
total lithium demand for battery
production.338 339 To this end, battery
recycling is avery active area of
research. The Department of Energy
coordinates much research in this area
through the ReCell Center, described as
‘‘a national collaboration of industry,
academia and national laboratories
working together to advance recycling
technologies along the entire battery
life-cycle for current and future battery
chemistries.’’ 340 Funding is also being
disbursed as directed by the BIL, as
discussed in Chapter 1.3.2 of the
DRIA.341 A growing number of private
companies are entering the battery
recycling market as the rate of
recyclable material becoming available
from battery production facilities and
337 For example, manganese can be subsituted by
aluminum in the case of nickel-manganese-cobalt
(NMC) and nickel-cobalt-aluminum (NCA) batteries.
Likewise, a LFP battery uses iron phophaste
chemistry without nickel, manganese, cobalt or
aluminum. Research has also been conducted to
study the replacement of lithium with sodium ions.
338 Sun et al., ‘‘Surging lithium price will not
impede the electric vehicle boom,’’ Joule,
doi:10.1016/j.joule. 2022.06.028 (https://dx.doi.org/
10.1016/j.joule.2022.06.028).
339 Ziemann et al., ‘‘Modeling the potential
impact of lithium recycling from EV batteries on
lithium demand: a dynamic MFA approach,’’
Resour. Conserv. Recycl. 133, pp. 76–85. https://
doi.org/10.1016/j.resconrec.2018.01.031.
340 ReCell Advanced Battery Remanufacturing.
https://recellcenter.org/about/.
341 Department of Energy, ‘‘Biden-Harris
Administration Announces Nearly $74 Million To
Advance Domestic Battery Recycling And Reuse,
Strengthen Nation’s Battery Supply Chain,’’ Press
Release, November 16, 2022.
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salvaged vehicles has grown, and
manufacturers are already reaching
agreements to use these recycled
materials for domestic battery
manufacturing. For example, Panasonic
has contracted with Redwood Materials
Inc. to supply domestically processed
cathode material, much of which will be
sourced from recycled batteries.342
Recycling infrastructure is one of the
targets of several provisions of the BIL.
It includes a Battery Processing and
Manufacturing program, which grants
significant funds to promote U.S.
processing and manufacturing of
batteries for automotive and electric grid
use, by awarding grants for
demonstration projects, new
construction, retooling and retrofitting,
and facility expansion. It will provide a
total of $3 billion for battery material
processing, $3 billion for battery
manufacturing and recycling, $10
million for a lithium-ion battery
recycling prize competition, $60 million
for research and development activities
in battery recycling, an additional $50
million for state and local programs, and
$15 million to develop a collection
system for used batteries. In addition,
the Electric Drive Vehicle Battery
Recycling and Second-Life Application
Program will provide $200 million in
funds for research, development, and
demonstration of battery recycling and
second-life applications.343
The efforts to fund and build a midchain processing supply chain for active
materials and related products will also
be important to reclaiming minerals
through domestic recycling. While
domestic recycling can recover minerals
and other materials needed for battery
cell production, they commonly are
recovered in elemental forms that
require further midstream processing
into precursor substances and active
material powders that can be used in
cell production. The DOE ReCell Center
coordinates extensive research on
development of a domestic lithium-ion
recycling supply chain, including direct
recycling, in which materials can be
recycled for direct use in cell
production without destroying their
chemical structure, and advanced
resource recovery which uses chemical
conversion to recover raw minerals for
processing into new constituents.344
342 Randall, T., ‘‘The Battery Supply Chain Is
Finally Coming to America,’’ Bloomberg, November
15, 2022.
343 Environmental Defense Fund and ERM,
‘‘Electric Vehicle Market Update: Manufacturer
Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and
Worldwide,’’ September 2022.
344 Department of Energy, ‘‘The ReCell Center for
Advanced Battery Recycling FY22 Q4 Report,’’
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25969
Currently, pilot-scale battery recycling
research projects and private recycling
startups have access to only limited
amounts of recycling stock that originate
from sources such as manufacturer
waste, crashed vehicles, and occasional
manufacturer recall/repair events. As
ZEVs are currently only a small portion
of the U.S. vehicle stock, some time will
pass before vehicle scrappage can
provide a steady supply of end-of-life
batteries to support large-scale battery
recycling. During this time, we expect
that the midchain processing portion of
the supply chain will continue to
develop and will be able to capture
much of the resources made available by
the recycling of used batteries coming in
from the fleet.345
3. HD Fuel Cell Electric Vehicle
Technology
Fuel cell technologies that run on
hydrogen have been in existence for
decades, though they are just starting to
enter the heavy-duty transportation
market. Hydrogen FCEVs are similar to
BEVs in that they have batteries and use
an electric motor instead of an internal
combustion engine to power the wheels.
Unlike BEVs that need to be plugged in
to recharge, FCEVs have fuel cell stacks
that use a chemical reaction involving
hydrogen to generate electricity. Fuel
cells with electric motors are two-tothree times more efficient than ICEs that
run on gasoline or diesel, requiring less
energy to fuel.346
Hydrogen FCEVs do not emit air
pollution at the tailpipe—only heat and
pure water.347 With current and nearfuture technologies, energy can be
stored more densely onboard a vehicle
as gaseous or liquid hydrogen than it
can as electrons in a battery. This allows
FCEVs to perform periods of service
between fueling events that batteries
currently cannot achieve without
affecting vehicle weight and limiting
payload capacity. Thus, fuel cells are of
interest for their potential use in heavyduty sectors that are difficult to electrify
October 20, 2022. Available at: https://
recellcenter.org/2022/12/15/recell-advancedbattery-recycling-center-fourth-quarter-progressreport-2022/.
345 Department of Energy, ‘‘Biden-Harris
Administration Announces Nearly $74 Million To
Advance Domestic Battery Recycling and Reuse,
Strengthen Nation’s Battery Supply Chain,’’ Press
Release, November 16, 2022.
346 U.S. Department of Energy, Vehicle
Technologies Office. ‘‘Hydrogen Basics’’.
Alternative Fuels Data Center. Available online:
https://afdc.energy.gov/fuels/hydrogen_basics.html.
347 U.S. Department of Energy, Fuel Cell
Technologies Office. ‘‘Fuel Cells’’. November 2015.
Available online: https://www.energy.gov/sites/
prod/files/2015/11/f27/fcto_fuel_cells_fact_
sheet.pdf.
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using batteries due to range or weight
limitations.
In the following sections, and in DRIA
Chapter 1.7, we discuss key technology
components unique to HD FCEVs. We
request comment on our assessment and
data to support our assessment of FCEV
technology for the final rule.
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i. Fuel Cell Stack
A fuel cell system is composed of a
fuel cell stack and ‘‘balance of plant’’
(BOP) components that support the fuel
cell stack (e.g., pumps, sensors,
compressors, humidifiers). A fuel cell
stack is a module that may contain
hundreds of fuel cell units, typically
combined in series.348 A heavy-duty
FCEV may have several fuel cell stacks
to meet the power needs of a
comparable ICE vehicle.
Though there are many types of fuel
cell technologies, polymer electrolyte
membrane (PEM) fuel cells are typically
used in transportation applications
because they offer high power density,
therefore have low weight and volume,
and can operate at relatively low
temperatures.349 PEM fuel cells are built
using membrane electrode assemblies
(MEA) and supportive hardware. The
MEA includes the PEM electrolyte
material, catalyst layers (anode and
cathode), and gas diffusion layers.350
Hydrogen fuel and oxygen enter the
MEA and chemically react to generate
electricity, which is either used to
propel the vehicle or is stored in a
battery to meet future power needs. The
process creates excess water vapor and
heat.
Key BOP components include the air
supply system that provides oxygen, the
hydrogen supply system, and the
thermal management system. With the
help of compressors and sensors, these
components monitor and regulate the
pressure and flow of the gases supplied
to the fuel cell along with relative
humidity and temperature. Similar to
ICEs and batteries, PEM fuel cells
require thermal management systems to
control the operating temperatures. It is
necessary to control operating
temperatures to maintain stack voltage
and the efficiency and performance of
the system. There are different strategies
to mitigate excess heat that comes from
348 U.S. Department of Energy, Hydrogen and
Fuel Cell Technologies Office. ‘‘Fuel Cell Systems’’.
Available online: https://www.energy.gov/eere/
fuelcells/fuel-cell-systems.
349 U.S. Department of Energy, Hydrogen and
Fuel Cell Technologies Office. ‘‘Types of Fuel
Cells’’. Available online: https://www.energy.gov/
eere/fuelcells/types-fuel-cells.
350 U.S. Department of Energy, Hydrogen and
Fuel Cell Technologies Office. ‘‘Parts of a Fuel
Cell’’. Available online: https://www.energy.gov/
eere/fuelcells/parts-fuel-cell.
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operating a fuel cell. For example, a HD
vehicle may include a cooling system
the circulates cooling fluid through the
stack.351 Waste heat recovery solutions
are also emerging.352 The excess heat
also can be in turn used to heat the
cabin, similar to ICE vehicles. Power
consumed to operate BOP components
can also impact the stack’s
efficiency.353 354 355
To improve fuel cell performance, the
air and hydrogen fuel that enter the
system may be compressed, humidified,
and/or filtered.356 A fuel cell operates
best when the air and the hydrogen are
free of contaminants, since
contaminants can poison and damage
the catalyst. PEM fuel cells require
hydrogen that is over 99 percent pure,
which can add to the fuel production
cost.357 Hydrogen produced from
natural gas tends to initially have more
impurities (e.g., carbon monoxide and
ammonia, associated with the reforming
of hydrocarbons) than hydrogen
produced from water through
electrolysis.358 There are standards such
as ISO 14687 that include hydrogen fuel
quality specifications for use in vehicles
to minimize impurities.359
Fuel cell durability is important in
heavy-duty applications, given that
351 Hyfindr. ‘‘Fuel Cell Stack’’. Available online:
https://hyfindr.com/fuel-cell-stack/.
352 Baroutaji, Ahmad, et al. ‘‘Advancements and
prospects of thermal management and waste heat
recovery of PEMFC’’. Interational Journal of
Thermofluids: 9. February 2021. Available online:
https://www.sciencedirect.com/science/article/pii/
S2666202721000021.
353 Hoeflinger, Johannes and Peter Hofmann. ‘‘Air
mass flow and pressure optimization of a PEM fuel
cell range extender system’’. International Journal
of Hydrogen Energy. Volume 45:53. October 02020.
Available online: https://www.sciencedirect.com/
science/article/pii/S0360319920327841.
354 Pardhi, Shantanu, et al. ‘‘A Review of Fuel
Cell Powertrains for Long-Haul Heavy-Duty
Vehicles: Technology, Hydrogen, Energy and
Thermal Management Systems’’. Energies.
December 2022. Available online: https://
www.mdpi.com/1996-1073/15/24/9557.
355 Hyfindr. ‘‘Fuel Cell Stack’’. Available online:
https://hyfindr.com/fuel-cell-stack/.
356 U.S .Environmental Protection Agency.
‘‘Assessment of Fuel Cell Technologies at Ports’’.
Prepared for EPA by Eastern Research Group, Inc.
July 2022. Available online: https://nepis.epa.gov/
Exe/ZyPDF.cgi?Dockey=P1015AQX.pdf.
357 US Drive. ‘‘Hydrogen Production Tech Team
Roadmap’’. November 2017. Available online:
https://www.energy.gov/eere/vehicles/articles/usdrive-hydrogen-production-technical-teamroadmap.
358 Nhuyen, Huu Linh, et al. ‘‘Review of the
Durability of Polymer Electrolyte Membrane Fuel
Cell in Long-Term Operation: Main Influencing
Parameters and Testing Protocols’’. Energies. July
2021. Available online: https://www.mdpi.com/
1996-1073/14/13/4048.
359 International Organization for
Standardization. ‘‘ISO 14687: 2019, Hydrogen fuel
quality—Product specification’’. November 2019.
Available online: https://www.iso.org/standard/
69539.html.
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vehicle owners and operators often have
high expectations for drivetrain
lifetimes in terms of years, hours, and
miles. Fuel cells can be designed to
meet durability needs, or the ability of
the stack to maintain its performance
over time. Considerations must be
included in the design to accommodate
operations in less-than-optimized
conditions. For example, prolonged
operation at high voltage (low power) or
when there are multiple transitions
between high and low voltage can stress
the system. As a fuel cell system ages,
a fuel cell’s MEA materials can degrade,
and performance and maximum power
output can decline. The fuel cell can
become less efficient, which can cause
it to generate more excess heat and
consume more fuel.360 DOE’s ultimate
long-term technology target for Class 8
HD trucks is a fuel cell lifetime of
30,000 hours, corresponding to an
expected vehicle lifetime of 1.2 million
miles.361 A voltage degradation of 10
percent at rated power (i.e., the power
level the cell is designed for) by end-oflife is considered by DOE when
evaluating targets.362
Currently, the fuel cell stack is the
most expensive component of a heavyduty FCEV, primarily due to the
technological requirements of
manufacturing rather than raw material
costs.363 Larger production volumes are
anticipated as global demand increases
for fuel cell systems for HD vehicles,
which could improve economies of
scale.364 Costs are also anticipated to
decline as durability improves, which
could extend the life of fuel cells and
reduce the need for parts
replacement.365 Fuel cells contain PEM
catalysts that typically are made using
precious metals from the platinum
360 Nhuyen, Huu Linh, et al. ‘‘Review of the
Durability of Polymer Electrolyte Membrane Fuel
Cell in Long-Term Operation: Main Influencing
Parameters and Testing Protocols’’. Energies. July
2021. Available online: https://www.mdpi.com/
1996-1073/14/13/4048.
361 Marcinkoski, Jason et al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
362 Marcinkoski, Jason et al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
363 Deloitte China. ‘‘Fueling the Future of
Mobility: Hydrogen and fuel cell solutions for
transportation, Volume 1’’. 2020. Available online:
https://www2.deloitte.com/content/dam/Deloitte/
cn/Documents/finance/deloitte-cn-fueling-thefuture-of-mobility-en-200101.pdf.
364 Ibid.
365 Ibid.
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group, which are expensive but efficient
and can withstand conditions in a cell.
With today’s technology, roughly 50
grams of platinum may be required for
a 160-kW fuel cell in a vehicle.366
Platinum group metals are classified as
critical minerals in the DOE Critical
Minerals and Materials Strategy.367
Efforts are underway to minimize or
eliminate the use of platinum in
catalysts.368
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ii. Fuel Cell and Battery Interaction
The instantaneous power required to
move a FCEV can come from either the
fuel cell stack, the battery, or a
combination of both. Interactions
between the fuel cell stacks and
batteries of a FCEV can be complex and
may vary based on application. Each
manufacturer likely would employ a
unique strategy to optimize the
durability of these components and
manage costs. The strategy selected
would impact the size of the fuel cell
stack and the size of the battery.
The fuel cell stack can be used to
charge the battery that in turn powers
the wheels (i.e., series hybrid or rangeextending), or it can work with the
battery to provide power (i.e., parallel
hybrid or primary power) to the wheels.
In the emerging HD FCEV market, when
used to extend range, the fuel cell tends
to have a lower peak power potential
and may be sized to match the average
power needed during a typical use
cycle, including steady highway
driving. At idle, the fuel cell may run at
minimal power or turn off based on
state of charge of the battery. The battery
is used during prolonged high-power
operations such as grade climbing and
is typically in charge-sustaining mode,
which means the average state of charge
is maintained above a certain level
while driving. When providing primary
power, the fuel cell tends to have a
larger peak power potential, sized to
match all power needs of a typical duty
cycle and to meet instantaneous power
needs. The battery is mainly used to
capture energy from regenerative
braking and to help with acceleration
and other transient power demands.369
366 James, Brian D., et al. ‘‘Fuel Cell Truck System
Cost Analysis’’. Strategic Analysis Inc. July 2018.
Available online: https://www.energy.gov/sites/
prod/files/2018/08/f54/fcto-truck-workshop-201810-james.pdf.
367 U.S. Department of Energy, Advanced
Manufacturing & Industrial Decarbonization Office.
‘‘Critical Minerals & Materials’’. Available online:
https://www.energy.gov/eere/amo/critical-mineralsmaterials.
368 Berkeley Lab. ‘‘Strategies for Reducing
Platinum Waste in Fuel Cells. November 2021.
Available online: https://als.lbl.gov/strategies-forreducing-platinum-waste-in-fuel-cells/.
369 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
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Based on how the fuel cell stacks and
batteries are managed, manufacturers
may use different types of batteries in
HD FCEVs. Energy battery cells are
typically used to store energy for
applications with distance needs, so
may be used more with range-extending
fuel cells in vehicles with a relatively
large battery. Power battery cells are
typically used to provide additional
high power for applications with high
power needs in primary power fuel celldominant vehicles.370
iii. Onboard Hydrogen Storage Tanks
Fuel cell vehicles carry hydrogen fuel
onboard using large tanks. Hydrogen has
extremely low density, so it must be
compressed or liquified for use. There
are various techniques for storing
hydrogen onboard a vehicle, depending
on how much fuel is needed to meet
range requirements. Most transportation
applications today use Type IV tanks,371
which typically include a plastic liner
wrapped with a composite material
such as carbon fiber that can withstand
high pressures with minimal
weight.372 373 High-strength carbon fiber
is expensive, accounting for over 50
percent of the cost of onboard storage at
production volumes of over 100,000
tanks per year.374
Some existing fuel cell buses use
compressed hydrogen gas at 350 bars
(∼5,000 pounds per square inch, or psi)
of pressure, but other applications are
using tanks with increased compressed
hydrogen gas pressure at 700 bar
(∼10,000 psi) for extended driving
range.375 A Heavy-Duty Vehicle
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
Contract ANL/ESD-22/6. October 2022. See Full
report. Available online: https://vms.taps.anl.gov/
research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
370 Sharpe, Ben and Hussein Basma. ‘‘A MetaStudy of Purchase Costs for Zero-Emission Trucks’’.
The International Council on Clean Transportation.
February 2022. Available online: https://theicct.org/
publication/purchase-cost-ze-trucks-feb22/.
371 Type I–III tanks are not typically used in
transportation for reasons related to low hydrogen
density, metal embrittlement, weight, or cost.
372 Langmi, Henrietta et. al. ‘‘Hydrogen storage’’.
Electrochemical Power Sources: Fundamentals,
Systems, and Applications. 2022. Portion available
online: https://www.sciencedirect.com/topics/
engineering/compressed-hydrogen-storage.
373 U.S. Department of Energy, Fuel Cell
Technologies Office. ‘‘Hydrogen Storage’’. March
2017. Available online: https://www.energy.gov/
sites/prod/files/2017/03/f34/fcto-h2-storage-factsheet.pdf.
374 Houchins, Cassidy and Brian D. James. ‘‘2019
DOE Hydrogen and Fuel Cell Program Review:
Hydrogen Storage Cost Analysis’’. Strategic
Analysis. May 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/review19/st100_
james_2019_o.pdf.
375 Basma, Hussein and Felipe Rodriquez. ‘‘Fuel
cell electric tractor-trailers: Technology overview
and fuel economy’’. Working Paper 2022–23. The
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Industry Group was formed in 2019 to
standardize 700 bar high-flow fueling
hardware components globally that
meet fueling speed requirements (i.e., so
that fill times are similar to comparable
HD ICE vehicles, as identified in DOE
technical targets for Class 8 long-haul
tractor-trailers).376 High-flow refueling
rates for heavy-duty vehicles of 60–80
kg hydrogen in under 10 minutes were
recently demonstrated in a DOE lab
setting.377 378 379
Based on our review of the literature,
we believe that most HD vehicles likely
have sufficient physical space to
package hydrogen storage tanks
onboard.380 Geometry and packing
challenges may constrain the amount of
gaseous hydrogen that can be stored
onboard and, thus, the maximum range
of trucks that travel longer distances
without a stop for fuel.381 Liquid
hydrogen is emerging as a cost-effective
onboard storage option for long-haul
operations; however, the technology
readiness of liquid storage and refueling
technologies is relatively low compared
to compressed gas technologies.382
International Council on Clean Transportation. July
2022. Available online: https://theicct.org/wpcontent/uploads/2022/07/fuel-cell-tractor-trailertech-fuel-jul22.pdf.
376 NextEnergy. ‘‘Hydrogen Heavy Duty Vehicle
Industry Group’’. Available online: https://
nextenergy.org/hydrogen-heavy-duty-vehicleindustry-group/.
377 DOE suggests that 60 kg of H2 will be required
to achieve a 750-mile range in a Class 8 tractortrailer truck, assuming a fuel economy of 12.4 miles
per kilogram. In the DOE lab, one fill (61.5 kg) was
demonstrated from the fueling station into seven
type-IV tanks of a HD vehicle simulator, and the
second fill (75.9 kg) was demonstrated from the
station into nine tanks.
378 Marcinkoski, Jason et. al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
379 Martineau, Rebecca. ‘‘Fast Flow Future for
Heavy-Duty Hydrogen Trucks: Expanded
Capabilities at NREL Demonstration High-FlowRate Hydrogen Fueling for Heavy-Duty
Applications’’. National Renewable Energy Lab.
June 2022. Available online: https://www.nrel.gov/
news/program/2022/fast-flow-future-heavy-dutyhydrogen-trucks.html.
380 Kast, James et. al. ‘‘Designing hydrogen fuel
cell electric trucks in a diverse medium and heavy
duty market’’. Research in Transportation
Economics: Volume 70. October 2018. Available
online: https://www.sciencedirect.com/science/
article/pii/S0739885916301639.
381 Basma, Hussein and Felipe Rodriquez. ‘‘Fuel
cell electric tractor-trailers: Technology overview
and fuel economy’’. Working Paper 2022–23. The
International Council on Clean Transportation. July
2022. Available online: https://theicct.org/wpcontent/uploads/2022/07/fuel-cell-tractor-trailertech-fuel-jul22.pdf.
382 Basma, Hussein and Felipe Rodriquez. ‘‘Fuel
cell electric tractor-trailers: Technology overview
and fuel economy’’. Working Paper 2022–23. The
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Nonetheless, companies like Daimler
and Hyzon are pursuing onboard liquid
hydrogen to minimize potential payload
impacts and maintain the flexibility to
drive up to 1,000 miles between
refueling, comparable to today’s diesel
ICE vehicle refueling ranges.383 384
Therefore given our assessment of
technology readiness, liquid storage
tanks were not included as part of the
technology packages that support the
feasibility and appropriateness of our
proposed standards. We request
comment and data related to packaging
space availability associated with
FCEVs and projections for the
development and application of liquid
hydrogen in the HD transportation
sector over the next decade.
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iv. HD FCEV Safety Assessment
FCEVs have two potential risk factors
that can be mitigated through proper
design, process, and training: hydrogen
and electricity. Electricity risks are
identical to those of BEVs and, thus, are
discussed in Section II.D.2 and DRIA
Chapter 1.5.2. Hydrogen risks can occur
throughout the process of fueling a
vehicle. FCEVs must be designed such
that hydrogen can safely be delivered to
a vehicle and then transferred into a
vehicle’s onboard storage tanks and fuel
cell stacks. Hydrogen has been handled,
used, stored, and moved in industrial
settings for more than 50 years, and
there are many established methods for
doing so safely.385 There is also federal
oversight and regulation throughout the
hydrogen supply chain system.386
Safety training and education are key for
maintaining reasonable risk while
handling and using hydrogen. For
example, hydrogen-related fuel cell
vehicle risks can be mitigated by
following various SAE and OSHA
International Council on Clean Transportation. July
2022. Available online: https://theicct.org/wpcontent/uploads/2022/07/fuel-cell-tractor-trailertech-fuel-jul22.pdf.
383 Daimler Truck. ‘‘Development milestone:
Daimler Truck tests fuel-cell truck with liquid
hydrogen’’. June 2022. Available online: https://
media.daimlertruck.com/marsMediaSite/en/
instance/ko/Development-milestone-DaimlerTruck-tests-fuel-cell-truck-with-liquidhydrogen.xhtml?oid=51975637.
384 Hyzon. ‘‘Hyzon Motors, Chart Industries to
Develop Liquid Hydrogen Fuel Cell-Powered Truck,
Targeting 1000-Mile Range’’. July 2021. Available
online: https://www.hyzonmotors.com/in-the-news/
hyzon-motors-chart-industries-to-develop-liquidhydrogen-fuel-cell-powered-truck-targeting-1000mile-range.
385 Hydrogen Tools. ‘‘Best Practices Overview’’.
Pacific Northwest National Laboratory. Available
online: https://h2tools.org/bestpractices/bestpractices-overview.
386 Baird, Austin R. et. al. ‘‘Federal Oversight of
Hydrogen Systems’’. Sandia National Laboratories.
March 2021. Available online: https://
energy.sandia.gov/wp-content/uploads/2021/03/
H2-Regulatory-Map-Report_SAND2021-2955.pdf.
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standards, as discussed in DRIA Chapter
1.7.4. We request comment on our
assessment that HD FCEVs can be
designed to maintain safety.
4. Summary of Technology Assessment
In prior HD GHG rulemakings, EPA
promulgated standards that could
feasibly be met through technological
improvements in many areas of the
vehicle. For example, the HD GHG
Phase 2 CO2 emission standards were
premised on technologies such as
engine waste heat recovery, advanced
aerodynamics (like those developed for
DOE’s SuperTruck programs), and, in
some cases, hybrid powertrains. We
evaluated each technology’s
effectiveness as demonstrated over the
regulatory duty cycles using EPA’s GEM
and estimated the appropriate adoption
rate of each technology.387 We then
developed a technology package for
each of the regulatory subcategories. We
are following a similar approach in this
Phase 3 NPRM.
In the HD GHG Phase 2 final rule, we
included ZEV technologies in our
assessment of the suite of technologies
for HD vocational vehicles and tractors.
However, in 2016, when the HD GHG
Phase 2 rule was being developed, we
stated that ‘‘adoption rates for these
advanced technologies in heavy-duty
vehicles are essentially non-existent
today and seem unlikely to grow
significantly within the next decade
without additional incentives.’’ 388
Thus, at that time, instead of including
ZEV technologies in the technology
packages for setting the Phase 2
standards, we provided advanced
technology credit multipliers to help
incentivize the development of ZEV
technologies.
Since the 2016 promulgation of the
HD GHG Phase 2 final rule, as discussed
in Section I.C, a number of important
factors have contributed to changes in
the HD landscape. Therefore, as detailed
in this Section II and DRIA Chapter 2,
we now are proposing that BEV
technologies and FCEV technologies
will be technically feasible for HD
vehicles and suitable for most
applications, as assessed by vehicle type
and each Phase 3 MY. As further
detailed in this Section II and DRIA
Chapter 2, we are also proposing that
BEV and FCEV technologies are feasible
at the adoption rates included in the
technology packages, which vary
387 GEM is an EPA vehicle simulation tool used
to certify HD vehicles. A detailed description of
GEM can be found in the RIA for the HD GHG Phase
2 rulemaking, available at https://nepis.epa.gov/
Exe/ZyPDF.cgi/P100P7NS.PDF?
Dockey=P100P7NS.PDF.
388 81 FR 73498 (October 25, 2016).
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depending on the respective vehicle
type and Phase 3 MY, and thus that the
proposed revised standards for MY 2027
and proposed new standards for MYs
2028 through 2032 are feasible and
appropriate. Similar to Phase 1 and
Phase 2, the technology packages used
to support the standards in this proposal
include a mix of technologies applied to
HD vehicles, and development of those
technology packages included an
assessment of the projected feasibility of
the development and application of
BEV, FCEV, and other technologies that
reduce GHG emissions from HD
vehicles. While our analysis in this
Section II.D focuses on certain
technologies in the technology packages
to demonstrate the feasibility of the
proposed HD vehicle GHG emission
standards, there are other technologies
as described in DRIA Chapter 1 that can
reduce CO2 emissions. Under the
proposed rule, manufacturers may
choose to produce the technologies that
work best for their business case and the
operator’s needs in meeting the
proposed standards, as the proposed
standards are performance-based and do
not mandate any specific technology for
any manufacturer or any vehicle
subcategory.
EPA developed a bottom-up approach
to estimate the operational
characteristics and costs of ZEV
technologies for this proposal. This
approach takes into consideration
concerns received on the HD2027
NPRM concerning the proposed revised
MY 2027 GHG vehicle standards’
analysis presented in the HD2027
NPRM. We developed a new technology
assessment tool, Heavy-Duty
Technology Resource Use Case Scenario
(HD TRUCS), to evaluate the design
features needed to meet the power and
energy demands of various HD vehicles
when using ZEV technologies, as well as
costs related to manufacturing,
purchasing and operating ICE and ZEV
technologies. HD TRUCS is described in
more detail in Section II.D.5 and DRIA
Chapter 2 but we briefly summarize the
approach here.
To build technology packages using
HD TRUCS, we created 101
representative HD vehicles that cover
the full range of weight classes within
the scope of this rulemaking (Class 2b
through 8 vocational vehicles and
tractors). The representative vehicles
cover many aspects of work performed
by the industry. This work was
translated into energy and power
demands per vehicle type based on
everyday use of HD vehicles, ranging
from moving goods and people to
mixing cement. We then identified the
technical properties required for a BEV
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or FCEV to meet the operational needs
of a comparable ICE HD vehicle.389
Since batteries can add weight and
volume to a vehicle,390 we evaluated
battery mass and physical volume
required to package a battery pack. If the
performance needs of a BEV resulted in
a battery that was too large or heavy,
then we did not consider the BEV for
that application in our technology
package because of, for example, the
impact on payload and, thus, potential
work accomplished relative to a
comparable ICE vehicle.391
To evaluate costs, including costs of
compliance for manufacturers as well as
user costs related to purchasing and
operating ZEVs, we sized vehicle
components that are unique to ZEVs to
meet the work demands of each
representative vehicle. We applied cost
estimates to each vehicle component
based on sizing to assess the difference
in total powertrain costs between the
ICE and ZEV powertrains. We
accounted for the IRA battery tax credit
and vehicle tax credit, as discussed in
Section II.E.4. We also compared
operating costs due to fuel consumption
as well as vehicle maintenance and
repair, and we included the cost to
procure and install depot charging
infrastructure for BEVs. For FCEVs,
similar to ICE vehicles’ infrastructure
and fuel costs, we assumed hydrogen
infrastructure costs were embedded in
the cost of hydrogen fuel.
We relied on research and findings
discussed in DRIA Chapters 1 and 2 to
conduct this analysis. For MYs 2027
through 2029, we focused primarily on
BEV technology. Consistent with our
analysis, research shows that BEV
technologies can become costcompetitive in terms of total cost of
ownership for many HD vehicles by the
late 2020s, but it would take longer for
389 Heavy-duty vehicles are typically powered by
a diesel-fueled compression-ignition (CI) engine,
though the heavy-duty market includes vehicles
powered by gasoline-fueled spark-ignition (SI)
engines and alternative-fueled ICEs. We selected
diesel-powered ICE vehicles as the baseline vehicle
for the assessment in HD TRUCS in our analysis
because a diesel-fueled CI engine is broadly
available for all of the 101 vehicle types.
390 Smith, David et. al. ‘‘Medium- and HeavyDuty Vehicle Electrification: An Assessment of
Technology and Knowledge Gaps’’. U.S.
Department of Energy: Oak Ridge National
Laboratory and National Renewable Energy
Laboratory. December 2019. Available online:
https://info.ornl.gov/sites/publications/Files/
Pub136575.pdf.
391 This does not necessarily mean that a BEV
with a large battery weight and volume would not
be technically feasible for a given HD vehicle use,
but rather this is an acknowledgement that we
considered impacts of increased battery size on
feasibility considerations like payload capacity as
well as cost and payback within the selection of HD
vehicle technologies for the technology packages.
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FCEVs.392 393 394 Given that there are
more BEV models available today
compared to FCEV models (see, e.g.,
DRIA Chapters 1.7.5 and 1.7.6), we
inferred that BEV adoption is likely to
happen sooner than the adoption of
FCEV technology.
Starting in MY 2030, we also
considered FCEV technology for select
applications. BEV technology is more
energy efficient than FCEV technology
but may not be suitable for all
applications, such as when the
performance needs result in additional
battery mass that affects payload. FCEVs
are more energy efficient than diesel
vehicles and can have shorter refueling
times than BEVs with large
batteries.395 396 We considered FCEVs in
the technology packages for applications
that travel longer distances and/or carry
heavier loads (i.e., for those that may be
sensitive to refueling times or payload
impacts). This included coach buses,
heavy-haul tractors, sleeper cab tractors,
and day cab tractors.
Though fuel cell technology is still
emerging in HD vehicle applications,
FCEVs are a viable ZEV technology for
heavy-duty transportation 397 398 399 and
392 Ledna
et. al. ‘‘Decarbonizing Medium- &
Heavy-Duty On-Road Vehicles: Zero-Emission
Vehicles Cost Analysis’’. U.S. Department of
Energy, National Renewable Energy Laboratory.
March 2022. Available online: https://
www.nrel.gov/docs/fy22osti/82081.pdf.
393 Hall, Dale and Nic Lutsey. ‘‘Estimating the
Infrastructure Needs and Costs for the Launch of
Zero-Emission Trucks’’. White Paper: The
International Council on Clean Transportation.
August 2019. Available online: https://theicct.org/
wp-content/uploads/2021/06/ICCT_EV_HDVs_
Infrastructure_20190809.pdf.
394 Robo, Ellen and Dave Seamonds. Technical
Memo to Environmental Defense Fund: Investment
Reduction Act Supplemental Assessment: Analysis
of Alternative Medium- and Heavy-Duty ZeroEmission Vehicle Business-As-Usual Scenarios.
ERM. August 19, 2022. Available online: https://
www.erm.com/contentassets/
154d08e0d0674752925cd82c66b3e2b1/edf-zevbaseline-technical-memo-addendum.pdf.
395 A technology is more energy efficient if it uses
less energy to do the same amount of work. Energy
can be lost as it moves through the vehicle’s
components due to heat and friction.
396 Cunanan, Carlo et. al. ‘‘A Review of HeavyDuty Vehicle Powertrain Technologies: Diesel
Engine Vehicles, Battery Electric Vehicles, and
Hydrogen Fuel Cell Electric Vehicles’’. Clean
Technol. Available online: https://www.mdpi.com/
2571-8797/3/2/28.
397 Mihelic, Rick et. al. ‘‘Making Sense of HeavyDuty Hydrogen Fuel Cell Tractors’’. North
American Council for Freight Efficiency. December
16, 2020. Available online: https://nacfe.org/
research/electric-trucks/making-sense-of-heavyduty-hydrogen-fuel-cell-tractors/.
398 Cunanan, Carlo et. al. ‘‘A Review of HeavyDuty Vehicle Powertrain Technologies: Diesel
Engine Vehicles, Battery Electric Vehicles, and
Hydrogen Fuel Cell Electric Vehicles’’. Clean
Technol. Available online: https://www.mdpi.com/
2571-8797/3/2/28.
399 Cullen et. al. ‘‘New roads and challenges for
fuel cells in heavy-duty transportation.’’ Nature
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will be available in the 2030 timeframe
(see DRIA Chapter 1.7.5).400 401 402 403
Inclusion of FCEVs in the technology
packages starting in MY 2030 takes into
consideration additional lead time to
allow manufacturers to design, develop,
and manufacture HD FCEV models. Fuel
cell technology in other sectors has been
in existence for decades 404 and has
been demonstrated to be technically
feasible in heavy-duty transportation.405
Interim research and development
(R&D) technical targets and projects (see
DRIA Chapter 1.7.7) are in place to
facilitate necessary improvements in the
performance, durability, and costs of
hydrogen-fueled long-haul HD tractors
in 2030.406 With substantial federal
investment in low-GHG hydrogen
production (see DRIA Chapter 1.3.2), we
project that the price of hydrogen fuel
will drop enough by 2030 to make HD
FCEVs cost-competitive with
comparable ICE vehicles for some duty
cycles. Hydrogen infrastructure is
expected to need the additional time
prior to MY 2030 to further develop, as
discussed in greater detail in DRIA
Chapter 1.8,407 408 but we expect the
Energy. March 25, 2021. Available online: https://
www.nature.com/articles/s41560-021-00775-z.
400 For example, California’s Advanced Clean
Fleets Regulation requires that 10 percent of sleeper
cab tractors and specialty vehicles must be zeroemission by 2030. We note that although our
technology package consider FCEVs for specific HD
applications, a diverse range of technologies may be
used to comply with the proposed performancebased standards.
401 California Air Resources Board. ‘‘Advanced
Clean Fleets Regulation Summary’’. October 27,
2022. Available online: https://ww2.arb.ca.gov/
resources/fact-sheets/advanced-clean-fleetsregulation-summary (ACF 2030 goals).
402 Adler, Alan. ‘‘Hyundai’s Xcient positioned for
instant US fuel cell truck leadership’’.
FreightWaves. November 29, 2022. Available
online: https://www.freightwaves.com/news/
hyundais-xcient-positioned-for-instant-us-fuel-celltruck-leadership.
403 GNA. ‘‘State of Sustainable Fleet: 2022 Market
Brief—Fuel Cell Electric Miniguide’’. 2022.
Available online: https://www.stateof
sustainablefleets.com/.
404 U.S. Energy Information Administration.
‘‘Hydrogen explained: Use of hydrogen’’. Last
updated January 20, 2022. Available online: https://
www.eia.gov/energyexplained/hydrogen/use-ofhydrogen.php.
405 Toyota. ‘‘Toyota, Kenworth Prove Fuel Cell
Electric Truck Capabilities with Successful
Completion of Truck Operations for ZANZEFF
Project’’. September 22, 2022. Available online:
https://pressroom.toyota.com/toyota-kenworthprove-fuel-cell-electric-truck-capabilities-withsuccessful-completion-of-truck-operations-forzanzeff-project/.
406 Marcinkoski, Jason et. al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
407 U.S. Department of Energy. ‘‘Pathways to
Commercial Liftoff: Clean Hydrogen’’. March 2023.
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refueling needs can be met by MY
2030.409 We also recognize that
regulations, like this proposed rule, can
further incentivize technology and
refueling infrastructure development
and deployment. Therefore, we
included FCEVs in our technology
assessment beginning in MY 2030,
which is our best projection after
considering the IRA incentives related
to hydrogen as a transportation fuel and
FCEVs, DOE’s hydrogen assessments,
and other information discussed here in
Section II and in DRIA Chapter 1.
After considering operational
characteristics and costs in 2021 dollars,
we determined the payback period,
which is the number of years it would
take to offset any incremental cost
increase of a ZEV over a comparable ICE
vehicle. Lastly, technology adoption
rates for BEVs or FCEVs for the
technology packages were selected
based on the payback period. We
request comment on this approach and
any supporting data on the potential for
these and additional technologies to be
available in the HD market in the MY
2027 through MY 2032 timeframe.
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5. EPA’s HD TRUCS Analysis Tool
For this proposal, EPA developed an
analysis tool, HD TRUCS, to evaluate
the design features needed to meet the
energy and power demands of various
HD vehicle types when using ZEV
technologies. The overarching design
and functionality of HD TRUCS is
premised on ensuring each of the 101
ZEV types could perform the same work
as its ICE counterpart. We did this by
sizing the BEV and FCEV components
such that they could meet the driving
demands based on the 90th percentile
daily VMT for each application, while
also accounting for the HVAC and
battery thermal conditioning load
requirements in hot and cold weather
and any PTO demands for the vehicle.
Furthermore, we accounted for the fact
that the usable battery capacity is less
than 100 percent and that batteries
deteriorate over time. We also sized the
ZEV powertrains to ensure that the
vehicles would meet an acceptable level
of acceleration from a stop and be able
to maintain a cruise speed while going
Available online: https://liftoff.energy.gov/wpcontent/uploads/2023/03/20230320-Liftoff-CleanH2-vPUB.pdf.
408 The proposed rule projects that hydrogen
consumption from FCEVs will be a small
proportion of total low-GHG hydrogen production
expected in 2030: from 1.3% in 2030 to 8.3% in
2032.
409 U.S. Department of Energy. ‘‘DOE National
Clean Hydrogen Strategy and Roadmap’’. Draft
September 2022. Available online: https://
www.hydrogen.energy.gov/pdfs/clean-hydrogenstrategy-roadmap.pdf.
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up a hill at six-percent grade. In this
subsection, we discuss the primary
inputs used in HD TRUCS. Additional
details on HD TRUCS can be found in
DRIA Chapter 2. We welcome comment
on all aspects of HD TRUCS.
i. Vehicles Analyzed
We developed inputs for 101 different
vehicle types for our assessment in HD
TRUCS. This encompasses 22 different
applications in the HD vehicle market,
as shown in Table II–3. These vehicles
applications are further differentiated by
weight class, duty cycle, and daily
vehicle miles traveled (VMT) for each of
these vehicle applications into 101
vehicle types. These 101 vehicle types
cover all 33 of the heavy-duty regulatory
subcategories, as shown in DRIA
Chapter 2.8.3.1. The initial list of HD
TRUCS vehicles contained 87 vehicle
types and was based on work the Truck
and Engine Manufacturers Association
(EMA) and California Air Resources
Board (CARB) conducted for CARB’s
ACT rule.410 We consolidated the list;
eliminated some of the more unique
vehicles with small populations like
mobile laboratories; and assigned
operational characteristics that
correspond to the Urban, Multi-Purpose,
and Regional duty cycles used in GEM.
We also added additional vehicle types
to reflect vehicle applications that were
represented in EPA’s certification data.
Chapter 2.1 of the DRIA summarizes the
101 unique vehicle types represented in
HD TRUCS and how they are
categorized, each with a vehicle
identifier, vehicle application, vehicle
weight class, MOtor Vehicle Emission
Simulator (MOVES) SourceTypeID and
RegClassID,411 and GEM duty cycle
category. We request comment on our
approach, including our categorization
of vehicle types and applications in the
data, and whether there are additional
specific vehicle types we should
include in our assessment.
TABLE II–3—HD VEHICLE APPLICATIONS INCLUDED IN HD TRUCS
Ambulance.
Box Truck.
Cement Mixer.
Coach Bus.
Dump Truck.
Fire Truck.
Flatbed/Stake Truck.
Port Drayage Tracto.
Refuse Truck.
410 California Air Resources Board, Appendix E:
Zero Emission Truck Market Assessment (2019),
available at https://ww2.arb.ca.gov/sites/default/
files/barcu/regact/2019/act2019/appe.pdf (last
accessed on Sept. 26, 2022).
411 MOVES homepage: https://www.epa.gov/
moves (last accessed October 2022).
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TABLE II–3—HD VEHICLE APPLICATIONS INCLUDED IN HD TRUCS—
Continued
RV.
School Bus.
Shuttle bus.
Snow Plow.
Step Van.
Street Sweeper.
Tanker Truck.
Tow Truck.
Tractor, Day Cab.
Tractor, Sleeper Cab.
Transit Bus.
Utility Truck.
Yard Tractor.
Heavy-duty vehicles are typically
powered by a diesel-fueled
compression-ignition (CI) engine,
though the heavy-duty market also
includes vehicles powered by gasolinefueled spark-ignition (SI) engines and
alternative-fueled ICE. We selected
diesel-powered ICE vehicles as the
baseline vehicle for the assessment in
HD TRUCS in our analysis because a
diesel-fueled CI engine is broadly
available for all of the 101 vehicle types
and are more efficient than SI engines.
Chapter 2.2 of the DRIA includes the
details we developed for each of the
baseline vehicles, including the size of
the engine and the transmission type.
This information was used to determine
the weight and the cost of the ICE
powertrains.
In the analysis, for MYs 2027 through
2029, we focused primarily on BEV
technology. Starting in MY 2030, we
also considered FCEV technology for
select applications that travel longer
distances and/or carry heavier loads.
This included coach buses, heavy-haul
tractors, sleeper cab tractors, and day
cab tractors that are designed to travel
longer distances. We request comment
on our approach that focuses primarily
on BEVs, which currently are more
prevalent in the HD vehicle market, and
whether there are additional vehicle
types that should be evaluated as FCEVs
along with BEVs.
ii. Vehicle Energy Demand
Vehicles require energy to perform the
work required of the vehicle. This work
includes driving, idling, and providing
heating and cooling; in addition, some
vehicles require energy to operate
equipment. Vehicles with regenerative
braking systems have the opportunity to
recover some of the kinetic energy that
would otherwise be lost during braking.
There are a wide variety of energy
demands across the heavy-duty sector,
depending on the vehicle’s application.
For example, some vehicles, such as
long-haul tractors, spend the vast
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majority of the time driving, a fraction
of the time idling, and require heating
and cooling of the cabin, but do not
require operation of additional
equipment. A transit bus typically
operates at low speeds, so it requires
less energy for driving than a long-haul
tractor, but requires more energy for
heating or cooling due to its large
amount of interior cabin volume. Unlike
ICE vehicles where the cabin heating is
often provided by excess heat from the
main ICE, BEVs do not have excess heat
from an ICE to utilize in this manner
and thus require more energy than ICE
vehicles to heat the cabin and additional
energy to manage the temperature of the
batteries. As another example of the
wide variety of energy demands for HD
vehicles, a utility truck, also known as
a bucket truck, may only drive a few
miles to a worksite while idling for the
majority of the day and using energy to
move the bucket up and down. The
power to run the separate equipment on
ICE vehicles is typically provided by a
PTO from the main engine. In HD
TRUCS, we determined the daily energy
demand for each of the 101 vehicle
types by estimating both the baseline
energy demands that are similar
regardless of the powertrain
configuration and the energy demands
that vary by powertrain. The baseline
energy includes energy at the axle to
move the vehicle, energy recovered from
regenerative braking energy, and PTO
energy. Powertrain-specific energy
includes energy required to condition
the battery and heat or cool the cabin
using a heating, ventilation, and air
conditioning (HVAC) system. We
discuss each of these in the following
subsections.
a. Baseline Energy
The amount of energy needed at the
axle to move the vehicle down the road
is determined by a combination of the
type of drive cycle (such as urban or
freeway driving) and the number of
miles traveled over a period of time. For
each HD TRUCS vehicle type, we
determined the baseline energy
consumption requirement that would be
needed for each of the ZEV applications.
To do this, we used the drive cycles and
cycle weightings adopted for HD GHG
Phase 2 for our assessment of the energy
required per mile for each vehicle type.
EPA’s GEM model simulates road load
power requirements for various duty
cycles to estimate the energy required
per mile for HD vehicles. To understand
the existing heavy-duty industry, we
performed an analysis on current heavyduty vehicles in the market in order to
determine typical power requirements
and rates of energy consumption at the
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axle. These values represent the energy
required to propel a vehicle of a given
weight, frontal area, and tire rolling
resistance to complete the specified
duty cycle on a per-mile basis,
independent of the powertrain. In DRIA
Chapter 2.2.2, we describe the GEM
inputs and results used to estimate the
propulsion energy and power
requirements at the axle for ICE vehicles
on a per-mile basis. We also used these
inputs, along with some simple electric
vehicle assumptions, to develop a
model for electric vehicles to calculate
weighted percent of energy recovery due
to regenerative braking. Additional
detail can be found in DRIA Chapter
2.2.2.1.3. We request comment on our
approach, including other data we
should consider in our assessment of
energy consumption.
Some vocational vehicles have
attachments that perform work,
typically by powering a hydraulic
pump, which are powered by PTOs.
Information on in-use PTO energy
demand cycles is limited. NREL
published two papers describing
investigative work into PTO usage and
fuel consumption.412 413 These studies,
however, were limited to electric utility
vehicles, such as bucket trucks and
material handlers. To account for PTO
usage in HD TRUCS, we chose to rely
on a table described in California’s
Diesel Tax Fuel Regulations, specifically
in Regulation 1432, ‘‘Other Nontaxable
Uses of Diesel Fuel in a Motor
Vehicle,’’ 414 that covers a wider range
of vehicles beyond the electric utility
vehicles in the referenced NREL studies.
This table contains ‘‘safe-harbor’’
percentages that are presumed amounts
of diesel fuel used for ‘‘auxiliary
equipment’’ operated from the same fuel
tank as the motor vehicle. We used this
source to estimate PTO energy use as a
function of total fuel consumed by
vehicle type, as discussed in DRIA
Chapter 2.2.2.1.4. We request additional
data that could be considered in our
assessment of PTO loads in our final
rulemaking assessment.
Within HD TRUCS, we calculated the
total energy needed daily based on a
daily VMT for each vehicle type. We
used multiple sources to develop the
VMT for each vehicle. Daily VMT for
412 NREL, Characterization of PTO and Idle
Behavior for Utility Vehicles, Sept 2017. Available
online: https://www.nrel.gov/docs/fy17osti/
66747.pdf.
413 NREL, Fuel and Emissions Reduction in
Electric Power Take-Off Equipped Utility Vehicles,
June 2016. Available online: https://www.nrel.gov/
docs/fy17osti/66737.pdf.
414 See Cal. Code Regs. tit. 18, § 1432, ‘‘Other
Nontaxable Uses of Diesel Fuel in a Motor Vehicle,’’
available at https://www.cdtfa.ca.gov/lawguides/
vol3/dftr/dftr-reg1432.html.
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25975
each vehicle came from one of five
Sources: the NREL FleetDNA database,
a University of California-Riverside
(UCR) database, the 2002 Vehicle
Inventory and Use Survey (VIUS), the
CARB Large Entity Report, or an
independent source specific to an
application, as discussed in DRIA
Chapter 2.2.1.2.415 Each vehicle type
was assigned a 50th percentile or
average daily VMT 416 that was used to
estimate operational costs, such as
average annual fuel, hydrogen, or
electricity costs, and maintenance and
repair costs (see DRIA Chapters 2.3.4,
2.4.4, and 2.5.3). We also account for the
change in use of the vehicle over the
course of its ownership and operation in
HD TRUCS by applying a MOVES-based
VMT ratio based on vehicle age to the
50th percentile VMT to arrive at a 10
year average VMT, as described in more
detail in DRIA Chapter 2.2.1.2.2. We
also developed a 90th percentile daily
VMT and used it in HD TRUCS to size
ZEV components, such as batteries, and
estimate the size requirements for EVSE.
We selected the 90th percentile daily
VMT data because we project that
manufacturers will design their BEVs to
meet most daily VMT needs, but not the
most extreme operations. BEVs designed
for all daily VMT needs would be
unnecessarily heavy and expensive for
most operations, which would limit
their appeal in the broad market. Please
see DRIA Chapter 2.2.1.2 for the
complete list of VMT for each of the 101
vehicle types. We request comment,
including comment with data, on our
VMT assessments.
b. Powertrain-Specific Energy
Heating, ventilation, and air
conditioning (HVAC) requirements vary
by vehicle type, location, and duty
cycle. The HVAC energy required to
heat and cool interior cabins is
considered separately from the baseline
energy in HD TRUCS, since these energy
loads are not required year-round or in
415 NREL and EPA. Heavy-Duty Vehicle Activity
for EPA MOVES. Available at https://data.nrel.gov/
submissions/168, last accessed on October 15, 2022,
which includes an assessment of both the NREL
and UC-Riverside databases; U.S. Census Bureau.
2002 Vehicle Inventory and Use Survey. https://
www.census.gov/library/publications/2002/econ/
census/vehicle-inventory-and-use-survey.html, last
accessed on October 15, 2022. CARB. Large Entity
Reporting. Available at https://ww2.arb.ca.gov/ourwork/programs/advanced-clean-trucks/large-entityreporting.
416 We used the 50th percentile as a proxy for
average VMT from the NREL FleetDNA database
and the UC-Riverside database. The NREL and UCRiverside databases each contained a selection of
vehicles that we used to calculate 50th and 90th
percentile daily VMT. When each database had a
VMT value, the values were averaged to get VMT
for a specific market segment. See DRIA Chapter
2.2.1.2 for further details.
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all regions of the country. Nearly all
commercial vehicles are equipped with
heat and basic ventilation and most
vehicles are equipped with air
conditioning (A/C). In ICE vehicles,
traditional cabin heating uses excess
thermal energy produced by the main
ICE. This is the only source of cabin
heating for many vehicle types.
Additionally, on ICE vehicles, cabin
A/C uses a mechanical refrigerant
compressor that is engine belt-driven.
For BEVs, the energy required for
thermal management is different than
for ICE vehicles. First, the loads for
HVAC are different because the vehicle
is not able to be heated from excess heat
from the engine. In this analysis, we
project HD BEVs would be equipped
with either a positive temperature
coefficient (PTC) electric resistance
heater with traditional A/C, or a full
heat pump system, as described in DRIA
Chapter 1. The vehicle’s battery is used
to power either system, but heat pumps
are many times more efficient than PTC
heaters. Given the success and
increasing adoption of heat pumps in
light-duty EVs, we believe that heat
pumps will be the more commonly used
technology and thus assume the use of
heat pumps in HD TRUCS.
To estimate HVAC energy
consumption of BEVs in HD TRUCS, we
performed a literature and market
review. Even though there are limited
real-world studies, we agreed with the
HVAC modeling-based approach
described in Basma et. al.417 This
physics-based cabin thermal model
considers four vehicle characteristics:
the cabin interior, walls, materials, and
number of passengers. The authors
modeled a Class 8 electric transit bus
with an HVAC system consisting of two
20-kW reversible heat pumps, an air
circulation system, and a battery
thermal management system. We used
their estimated HVAC power demand
values as a function of temperature,
resembling a parabolic curve, where
hotter and colder temperatures require
more power with the lowest power
demand between 59 to 77 °F.
The power required for HVAC in HD
TRUCS is based on a Basma et. al study
that determined the HVAC power
demand across a range of ambient
temperatures.418 We created three
417 Basma,
Hussein, Charbel Mansour, Marc
Haddad, Maroun Nemer, Pascal Stabat.
‘‘Comprehensive energy modeling methodology for
battery electric buses’’. Energy: Volume 207, 15
September 2020, 118241. Available online: https://
www.sciencedirect.com/science/article/pii/
S0360544220313487.
418 It should be noted that Basma model has
discrete values in Celsius and MOVES data has
discrete values in Fahrenheit. The Basma discrete
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separate ambient temperature bins: one
for heating (less than 55 °F), one for
cooling (greater than 80 °F), and one for
a temperature range that requires only
ventilation (55–80 °F). In HD TRUCS,
we already accounted for the energy
loads due to ventilation in the axle
loads, so no additional energy
consumption is applied here for the
ventilation-only operation. We then
weighted the power demands by the
percent HD VMT traveled at a specific
temperature range. The results of the
VMT-weighted HVAC power demand
for a Class 8 Transit Bus are shown in
Table II–4. We request comment on and
data to support other approaches to
quantify the HVAC energy demand in
BEVs, including the ambient
temperature ranges where heating and
cooling are utilized.
TABLE II–4—HD TRUCS VMTWEIGHTED HVAC POWER DEMAND
OF A CLASS 8 TRANSIT BUS
Temperature
(°F)
Heating ................
Ventilation ............
Cooling ................
<55
55–80
>80
Consumption
(kW)
5.06
0.00
3.32
Lastly, HVAC load is dependent on
cabin size—the larger the size of the
cabin, the greater the HVAC demand.
The values for HVAC power demand
shown in Table II–4 represent the power
demand to heat or cool the interior of
a Class 8 Transit bus. However, HD
vehicles have a range of cabin sizes;
therefore, we developed scaling ratios
relative to the cabin size of a Class 8
bus. Each vehicle’s scaling factor is
based on the surface area of the vehicle
compared to the surface area of the
Class 8 bus. For example, a Class 4–5
shuttle bus has a cabin size ratio of 0.6,
in this case, the heating demand for the
vehicle will be 3.04 kW and the cooling
demand would be 1.99 kW. The
adjustment ratio for buses and
ambulances are between 0.3–0.6, while
the cabin size for remaining HDVs have
a similar cabin to a mid-size light duty
vehicle and therefore, a single average
scaling factor of 0.2 was applied to all
remaining vehicle types.419 We
welcome data to support these or other
cabin size scaling factors.
Fuel cell stacks produce excess heat
during the conversion of hydrogen to
electricity, similar to an ICE during
combustion. This excess heat can be
values in the Basma model is fitted to a parabolic
curve and converted into Fahrenheit to best fit the
VMT distribution that is available in MOVES.
419 The interior cabin where the driver and
passengers sit are heated while where the cargo is
stored is not heated.
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used to heat the interior cabin of the
vehicle. In HD TRUCS, we already
accounted for the energy loads due to
ventilation in the axle loads, so no
additional energy consumption is
applied to FCEV for heating operation.
Therefore, for FCEV energy
consumption in HD TRUCS, we only
include additional energy requirements
for air conditioning (i.e. not for
heating).420 As described in DRIA
Chapter 2.4.1.1.1, we assigned a power
demand of 3.32 kW for powering the air
conditioner on a Class 8 bus. The A/C
loads are then scaled by the cabin
volume for other vehicle applications in
HD TRUCS and applied to the VMT
fraction that requires cooling, just as we
did for BEVs.
BEVs have thermal management
systems to maintain battery core
temperatures within an optimal range of
approximately 68 to 95 degrees
Fahrenheit (F).421 In HD TRUCS, we
accounted for the battery thermal
management energy demands as a
function of ambient temperature based
on a Basma et. al study.422 As described
in DRIA Chapter 2.4.1.1.3, we
determined the amount of energy
consumed to heat the battery with cabin
air when it is cold outside (less than
55 °F) and energy consumed to cool the
battery when it is hot outside (greater
than 80 °F) with refrigerant cooling. For
the ambient temperatures between these
two regimes, we agreed with Basma, et.
al that only ambient air cooling is
required for the batteries, which
requires no additional load. We first
determined a single VMT-weighted
power consumption value for battery
heating and a value for battery cooling
based on the MOVES HD VMT
distribution, based on the same method
used for HVAC. Then, we determined
the energy required for battery
conditioning required for eight hours of
daily operation and expressed it in
terms of percent of total battery size.
Table II–5 shows the energy
consumption for battery conditioning
for both hot and cold ambient
temperatures, expressed as a percentage
of battery capacity, used in HD TRUCS.
We request additional data on the
battery thermal management loads for
HD BEVs.
420 FCEVs use waste heat from the fuel cell for
heating, and that ventilation operates the same as
it does for an ICE vehicle.
421 Basma, Hussein, Charbel Mansour, Marc
Haddad, Maroun Nemer, Pascal Stabat.
‘‘Comprehensive energy modeling methodology for
battery electric buses’’. Energy: Volume 207, 15
September 2020, 118241. Available online: https://
www.sciencedirect.com/science/article/pii/
S0360544220313487.
422 Ibid.
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TABLE II–5—BATTERY CONDITIONING
ENERGY CONSUMPTION
Ambient
temperature
(°F)
Battery Heating ...
Battery Cooling ....
Energy
consumption
(%)
<55
>80
1.9
4.2
iii. BEV Component Sizing and Weight
We used HD TRUCS to determine the
size of two of the major components in
a BEV—the battery and the motor. The
size of these components is determined
by the energy needs of the specific
vehicle to meet its daily operating
requirements. In this subsection, we
also discuss our method to evaluate the
payload and packaging impact of the
battery.
a. Battery
First, in HD TRUCS, we based the size
of the battery on the daily demands on
the vehicle to perform a day’s work,
based on the 90th percentile VMT
(sizing VMT). As described in the
Vehicle Energy Demand subsection, this
daily energy consumption is a function
of miles the vehicle is driven and the
energy it consumes because of: (1)
moving the vehicle per unit mile,
including the impact of regenerative
braking, and PTO energy requirements
and (2) battery conditioning and HVAC
energy requirements. Then we also
accounted for the battery efficiency,
depth of discharge, and deterioration in
sizing of the batteries for BEVs in HD
TRUCS.
The daily energy consumption of each
BEV in HD TRUCS is determined by
applying efficiency losses to energy
consumption at the axle, as described in
DRIA Chapter 2.4.1.1.3. We have
accounted for these losses in the battery,
inverter, and e-motor before the
remaining energy arrives at the axle, as
shown in Table II–6. We request
comment, including data, on our
approach and the results for our
assessment of system efficiencies for HD
BEV components.
TABLE II–6—BEV COMPONENT EFFICIENCIES USED IN HD TRUCS
MY 2027
(%)
Component
Battery ......................................................
Inverter .....................................................
E-Motor ....................................................
Total System Efficiency ...........................
MY 2028
(%)
95
97.0
94.5
87
Next, we oversized the battery to
account separately for the typical usable
amount of battery and for battery
deterioration over time. We sized the
battery limiting the battery to a
maximum depth of discharge of 80
percent, recognizing that manufacturers
and users likely would not allow the
battery capacity to be depleted beyond
80 percent of original capacity. We also
accounted for deterioration of the
battery capacity over time by oversizing
the battery by 20 percent, assuming only
80 percent of the battery storage is
available throughout its life. Therefore,
the battery sizes we used in our
assessment are conservative because
they could meet 100 percent of the daily
operating requirement using the 90th
percentile VMT at the battery end of
life. This is described in greater detail
in DRIA Chapter 2.4.1.1 and 2.7.5.4. We
MY 2029
(%)
95
97.0
94.5
87
MY 2030
(%)
95
97.0
94.5
87
request comment on approach and
results for the useable battery range and
battery deterioration for HD BEVs that
we could consider for our final rule
analysis.
b. Motor
We determined the size of the motor
for each BEV based on the peak power
of the transient cycle and highway
cruise cycles, the vehicle’s ability to
meet minimum performance targets in
terms of acceleration rate of the vehicle,
and the ability of the vehicle to
maintain speed going up a hill. As
described in DRIA Chapter 2.4.1.2, we
estimated a BEV motor’s peak power
needs to size the e-motor, after
considering the peak power required
during the ARB transient cycle 423 and
performance targets included in ANL’s
Autonomie model 424 and in Islam et
MY 2031
(%)
95
97.5
95.0
88
MY 2032
(%)
95
97.5
95.0
88
95
97.5
95.0
88
al.,425 as indicated in Table II–7. We
assigned the target maximum time to
accelerate a vehicle from stop to 30 mph
and 60 mph based on weight class of
each vehicle. We also used the criteria
that the vehicle must be able to
maintain a specified cruise speed while
traveling up a road with a 6 percent
grade, as shown in Table II–7. In the
case of cruising at 6 percent grade, the
road load calculation is set at a constant
speed for each weight class bin on a hill
with a 6 percent incline. We determined
the required power rating of the motor
as the greatest power required to drive
the vehicle over the ARB transient test
cycle, at 55 mph and 65 mph constant
cruise speeds, or at constant speed at 6
percent grade, and then applied losses
from the e-motor. We request comment
on our approach using these
performance targets.
TABLE II–7—ANL PERFORMANCE TARGETS
Vocational
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Weight Class Bin .....................................
0–30 mph Time (s) ..................................
0–60 mph Time (s) ..................................
2b–3
7
25
423 EPA uses three representative duty cycles for
calculating CO2 emissions in GEM: transient cycle
and two highway cruise cycles. The transient duty
cycle was developed by the California Air
Resources Board (CARB) and includes no grade—
just stops and starts. The highway cruise duty
cycles represent 55-mph and 65-mph vehicle
speeds on a representative highway. They use the
same road load profile but at different vehicle
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4–5
8
25
Tractors
6–7
16
50
speeds, along with a percent grade ranging from ¥5
percent to 5 percent.
424 Islam, Ehsan Sabri. Ram Vijayagopal, Ayman
Moawad, Namdoo Kim, Benjamin Dupont, Daniela
Nieto Prada, Aymeric Rousseau, ‘‘A Detailed
Vehicle Modeling & Simulation Study Quantifying
Energy Consumption and Cost Reduction of
Advanced Vehicle Technologies Through 2050,’’
Report to the U.S. Department of Energy, Contract
ANL/ESD–21/10, October 2021. See previous
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8
20
100
7
18
60
8
20
100
reports and analysis: 2021. Available online:
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
425 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
Contract ANL/ESD–22/6, October 2022. Available
online: https://vms.taps.anl.gov/researchhighlights/u-s-doe-vto-hfto-r-d-benefits/.
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TABLE II–7—ANL PERFORMANCE TARGETS—Continued
Cruise Speed (mph) @ 6% grade ...........
65
c. Battery Weight and Volume
Performance needs of a BEV can
result in a battery that is so large or
heavy that it impacts payload and, thus,
potential work accomplished relative to
a comparable ICE vehicle. We
determined the battery weight and
physical volume for each vehicle
55
45
25
application in HD TRUCS using the
specific energy and energy density of
the battery for each battery capacity. As
described in DRIA Chapter 2.4.2, to
determine the weight impact, we used
battery specific energy, which measures
battery energy per unit of mass. While
battery technologies have made
30
30
tremendous advancements in recent
years, it is well known that current
automotive batteries add mass to the
vehicle. Our values for the specific
energy of battery packs with lithium-ion
cell chemistries are based on
Autonomie.426 The values we used in
HD TRUCS are shown in Table II–8.
TABLE II–8—BATTERY PACK-LEVEL SPECIFIC ENERGY IN HD TRUCS (WH/KG)
Model year
2027
2028
2029
2030
2031
2032
Specific Energy (Wh/kg) ..........................
199
203
208
213
218
223
To evaluate battery volume and
determine the packaging space required
for each HD vehicle type, we used
battery energy density. We also
estimated the battery’s width using the
wheelbase and frame depths.
Battery energy density (also referred
to as volumetric energy density)
measures battery energy per unit of
volume. This value was not available as
a part of the Autonomie; however, the
overall trend of energy density shows a
linear correlation with specific energy.
In this analysis, we determined the
energy density is 2.5 times that of
specific energy, as shown in Table II–9.
TABLE II–9—BATTERY PACK LEVEL ENERGY DENSITY IN HD TRUCS (WH/L)
Model year
2027
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Specific Energy (Wh/L) ............................
2028
496
2029
508
2030
521
We request comment on our approach
and results as well as comment and data
on current and projected levels of
battery-specific energy and batteryspecific density values for HD vehicles.
Heavy-duty vehicles are used to
perform work, such as moving cargo or
carrying passengers. Consequently,
heavy-duty vehicles are sensitive to
increases in vehicle weight and carrying
volume. To take this into account, we
also evaluated BEVs in terms of the
overall impact on payload-carrying
ability and battery packaging space. The
results of this analysis can be found in
DRIA Chapters 2.4.2 and 2.8.1. We
found that the extra weight of the
batteries for applications such as coach
buses and tractors that travel long
distances could have an impact on
operations of these vehicles as BEVs.
Therefore, for applications where our
analysis showed that BEVs impacted the
payload capacity by over 30 percent, we
assessed fuel cell technology. In this
proposal we are using a single
technology package that supports the
feasibility of the proposed standards,
but we recognize the potential of BEVs
in the applications where we evaluate
FCEVs, as demonstrated by the
development of a long-haul battery
electric tractor by Tesla.
426 Islam, Ehsan Sabri. Ram Vijayagopal, Ayman
Moawad, Namdoo Kim, Benjamin Dupont, Daniela
Nieto Prada, Aymeric Rousseau, ‘‘A Detailed
Vehicle Modeling & Simulation Study Quantifying
Energy Consumption and Cost Reduction of
Advanced Vehicle Technologies Through 2050,’’
Report to the U.S. Department of Energy, Contract
ANL/ESD–21/10, October 2021. See previous
reports and analysis: 2021. Available online:
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iv. Charging Infrastructure for BEVs
Charging infrastructure represents a
key element required for HD BEV
operation. More charging infrastructure
will be needed to support the growing
fleet of HD BEVs. This will likely
consist of a combination of (1) depot
charging—with infrastructure installed
in parking depots, warehouses, and
other private locations where vehicles
are parked off-shift (when not in use),
and (2) en-route charging, which
provides additional electricity for
vehicles during their operating hours.
In draft RIA Chapters 2.6 and 2.7.7 we
describe how we accounted for charging
infrastructure in our analysis of HD BEV
technology feasibility and adoption
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533
2032
545
557
rates for MYs 2027–2032. For this
analysis, we estimate infrastructure
costs associated with depot charging to
fulfill each BEV’s daily charging needs
off-shift with the appropriately sized
electrical vehicle supply equipment.427
This approach reflects our expectation
that many heavy-duty BEV owners will
opt to purchase and install EVSE at
depots; accordingly, we explicitly
account for all of these upfront costs in
our analysis. By contrast, we do not
estimate upfront hardware and
installation costs for public and other
en-route electric charging infrastructure
because the BEV charging needs are met
with depot charging in our analysis.
Discussion of private sector
infrastructure investments and charging
deployment projects is included in
DRIA Chapter 1.6.2. We request
comment on this analytical approach.
Vehicle owners with return-to-base
operations who choose to install depot
charging equipment have many options
from which to select. This includes AC
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
427 We sized EVSE to meet vehicles’ daily
electricity consumption (kWh/day) based on the
90th percentile VMT.
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or DC charging, power level, as well as
the number of ports and connectors per
charging unit, connector type(s),
communications protocols, and
additional features such as vehicle-togrid capability (which allows the
vehicle to supply energy back to the
grid). Many of these selections will
impact EVSE hardware and installation
costs, with power level as one of the
most significant drivers of cost. While
specific cost estimates vary across the
literature, higher-power charging
equipment is typically more expensive
than lower-power units. For this reason,
we have chosen to evaluate
infrastructure costs separately for four
different, common charging types in our
depot charging analysis: AC Level 2
(19.2 kW) and 50 kW, 150 kW, and 350
kW DC fast charging (DCFC).
How long a vehicle is off-shift and
parked at a depot, warehouse, or other
home base each day is a key factor for
determining which charging type(s)
could meet its needs. The amount of
time available at the depot for charging
(dwell time) will depend on a vehicle’s
duty cycle. For example, a school bus or
refuse truck may be parked at a depot
in the afternoon and remain there until
the following morning whereas a transit
bus may continue to operate throughout
the evening. Even for a specific vehicle,
off-shift dwell times may vary between
weekends and weekdays, by season, or
due to other factors that impact its
operation. The 101 vehicle types in our
analysis span a wide range of vehicle
applications and duty cycles, and we
expect their off-shift dwell times at
depots to vary accordingly. As described
in DRIA Chapter 2.6.4.1, in order to
better understand what an average depot
dwell time might look like, we
examined a dataset with engine start
and off times for 564 commercial
vehicles. We used the longest time the
vehicle engine was off each day as a
rough proxy for depot dwell time,
finding the average across all 564
vehicles to be over 14 hours, with proxy
dwell times for most of the seven
vehicle categories examined rounding to
12 hours or longer. However, assigning
specific dwell times for each of the 101
vehicle types in our analysis is
challenging due a lack of
comprehensive datasets on parking
times and locations, and, as further
detailed in DRIA Chapter 2.6.4.1, we
acknowledge limitations in the
approach and dataset we examined.
Given these uncertainties, we used an
off-shift dwell time for all vehicle types
of 12 hours for the purpose of selecting
charging equipment at depots in our
analysis.
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v. FCEV Component Sizing
To compare diesel-fueled HD ICE
vehicles and HD FCEV technology costs
and performance in HD TRUCS, this
section explains how we define HD
FCEVs based on the performance and
use criteria in DRIA Chapter 2.2 (that we
also used for HD BEVs, as explained in
Section D.5.ii). We determined the emotor, fuel cell stack, and battery pack
sizes to meet the power requirements for
each of the eight FCEVs represented in
HD TRUCS. We also estimated the size
of the onboard fuel tank needed to store
the energy, in the form of hydrogen,
required to meet typical range and duty
cycle needs. See DRIA Chapter 2.5 for
further details. We request comment,
including data, on our approach and
results from our assessment of HD FCEV
component sizing.
a. E-Motor
As discussed in DRIA Chapter 2.4.1.2,
the electric motor (e-motor) is part of the
electric drive system that converts the
electric power from the battery or fuel
cell into mechanical power to move the
wheels of the vehicle. In HD TRUCS, the
e-motor was sized for a FCEV like it was
sized for a BEV—to meet peak power
needs of a vehicle, which is the
maximum power to drive the ARB
transient cycle, meet the maximum time
to accelerate from 0 to 30 mph, meet the
maximum time to accelerate from 0 to
60 mph, and maintain a set speed up a
six-percent grade. Additional power was
added to account for e-motor efficiency
losses using the same e-motor efficiency
losses calculated and applied for BEVs,
as discussed in DRIA Chapter 2.4.1.1.3.
b. Fuel Cell Stack
Vehicle power in a FCEV comes from
a combination of the fuel cell (FC) stack
and the battery pack. The FC stack
behaves like the internal combustion
engine of a hybrid vehicle, converting
chemical energy stored in the hydrogen
fuel into useful work. The battery is
charged by power derived from
regenerative braking, as well as excess
power from the FC stack. Some FCEVs
are designed to primarily rely on the
fuel cell stack to produce the necessary
power, with the battery exclusively used
to capture energy from regenerative
braking. Other FCEVs are designed to
store more energy in a battery to meet
demand during situations of high-power
need.428 429
428 Note that ANL’s analysis defines a fuel cell
hybrid EV as a battery-dominant vehicle with a
large energy battery pack and a small fuel cell, and
a fuel cell EV as a fuel cell-dominant vehicle with
a large fuel cell and a smaller power battery. Ours
is a slightly different approach because we consider
a fuel cell-dominant vehicle with a battery with
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While much of FCEV design is
dependent on the use case of the
vehicle, manufacturers also balance the
cost of components such as the FC
stack, the battery, and the hydrogen fuel
storage tanks. For the purposes of this
HD TRUCS analysis, we focused on
proton-exchange membrane (PEM) fuel
cells that use energy battery cells, where
the fuel cell and the battery were sized
based on the demands of the vehicle. In
HD TRUCS, the fuel cell stack was sized
either to reach the 90th percentile of
power required for driving the ARB
transient cycle or to maintain a constant
highway speed of 75 mph. The 90th
percentile power requirement was used
to size the fuel cells of vocational
vehicles. For sleeper and day cabs, the
fuel cell was sized using the power
required to drive at 75 mph with 80,000pound gross combined vehicle weight
(GCVW).
To avoid undersizing the fuel cell
stack, we applied efficiency values to
account for losses that take place before
the remaining energy arrives at the axle.
The same battery and inverter
efficiencies from Table II–10 were used
for the FCEV calculations. Fuel cell
stack efficiency losses are due to the
conversion of onboard hydrogen to
electricity. The DOE technical targets for
Class 8 long-haul tractor-trailers are to
reach 68 percent peak efficiency by
around 2030 (this is the interim target;
the ultimate target is to reach 72 percent
efficiency).430 431 Table II–10 shows the
fuel cell efficiency values that we used
for MYs 2027–2032 in HD TRUCS,
which are slightly more conservative yet
include expected improvements over
time. We averaged the high-tech peak
efficiency estimates with low-tech peak
efficiency estimates from ANL’s 2022
Autonomie 432 for 2025, 2030, and 2035
energy cells. We took this approach because energy
cell batteries are less expensive to manufacture than
power cell batteries.
429 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
Contract ANL/ESD–22.6. October 2022. See Full
report. Available online: https://vms.taps.anl.gov/
research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
430 According to DOE, ultimate targets are ‘‘based
on 2050 simple cost of ownership assumptions and
reflects anticipated timeframe for market
penetration’’.
431 Marcinkoski, Jason et. al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
432 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
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for available vehicle types. We then
linearly interpolated these averaged
values to calculate values for each year.
linearly interpolated these averaged
values to calculate values for each year.
TABLE II–10—FCEV FUEL CELL EFFICIENCIES FOR MY 2027–2032
Component
2027
(%)
2028
(%)
2029
(%)
2030
(%)
2031
(%)
2032
(%)
Fuel Cell ...............................................................................................................
64.5
64.5
64.5
66.0
66.0
66.0
In the following subsections, we first
discuss BEV technology (Section II.E.1)
and associated EVSE technology costs
(Section II.E.2) and FCEV technology
1. BEV Technology Costs
The incremental cost of a BEV
powertrain system is calculated as the
cost difference from the comparable
vehicle powertrain with an ICE. The ICE
vehicle powertrain cost is a sum of the
costs of the engine (including the
projected cost of the HD2027 standards),
alternator, gearbox (transmission),
starter, torque converter, and final drive
system.
Heavy-duty BEV powertrain costs
consist of the battery, electric motor,
inverter, converter, onboard charger,
power electronics controller,
transmission or gearbox, final drive, and
any electrical accessories. DRIA Chapter
2.4.3 contains additional detail on our
cost projections for each of these
components. We request comment,
including additional data, on our
analysis for consideration in the final
rule regarding current and projected
BEV component costs.
Battery costs are widely discussed in
the literature because they are a key
driver of the cost of a HD electric
vehicle. The per unit cost of the battery,
in terms of $/kWh, is the most common
metric in determining the cost of the
battery as the final size of the battery
may vary significantly between different
applications. The total battery pack cost
is a function of the per unit kWh cost
and the size (in terms of kWh) of the
pack.
There are numerous projections for
battery costs and battery pricing in the
literature that cover a range of estimates.
Sources do not always clearly define
what is included in their cost or price
projections, nor whether the projections
reflect direct manufacturing costs
incurred by the manufacturer or the
prices seen by the end-consumer.
Except as noted, the values in the
literature we used were developed prior
to enactment of the Inflation Reduction
Act. For example, BloombergNEF
presents battery prices that would reach
$100 per kWh in 2026.434 In 2021, ANL
developed cost projections for heavyduty vehicle battery packs in their
benefit analysis (BEAN) model, that
ranged from $225 per kWh to $175 per
kWh in 2027 and drop to $150 per kWh
to $115 per kWh in 2035.435 In a recent
update to BEAN, released after the IRA
was passed, ANL now projects heavyduty battery pack costs in the range of
$95 per kWh to $128 per kWh in 2025
and a drop to between $70 per kWh and
$90 per kWh in 2035.436 The direct
manufacturing battery cost for MY 2027
used in HD TRUCS is based on a
literature review of costs of zeroemission truck components conducted
by the International Council on Clean
Transportation (ICCT).437 As described
in detail in DRIA Chapter 2.4.3.1, we
considered this source to be a
comprehensive review of the literature
at the time of the HD TRUCS analysis
for the cost of battery packs in the
Contract ANL/ESD–22.6. October 2022. See
Medium- and heavy-duty vehicles (assumptions).
Available online: https://vms.taps.anl.gov/researchhighlights/u-s-doe-vto-hfto-r-d-benefits/.
433 U.S. Department of Energy, US Drive. ‘‘Target
Explanation Document: Onboard Hydrogen Storage
for Light-Duty Fuel Cell Vehicles’’. 2017. Available
online: https://www.energy.gov/sites/prod/files/
2017/05/f34/fcto_targets_onboard_hydro_storage_
explanation.pdf.
434 Bloomberg NEF. ‘‘Battery Pack Prices Fall to
an Average of $132/kWh, But Rising Commodity
Prices Start to Bite.’’ November 30, 2021. https://
about.bnef.com/blog/battery-pack-prices-fall-to-anaverage-of-132-kwh-but-rising-commodity-pricesstart-to-bite/.
435 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed August
2022).
436 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed December
2022).
437 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation,
Working Paper 2022–09 (February 2022). Available
online: https://theicct.org/publication/purchasecost-ze-trucks-feb22/.
c. Battery Pack
As described in DRIA Chapter
2.5.1.1.3, in HD TRUCS, the battery
power accounts for the difference
between the power demand of the emotor at any moment and the maximum
power output of the fuel cell stack. We
sized the battery to meet these power
needs in excess of the fuel cell stack’s
capability only when the fuel cell
cannot provide sufficient power. In our
analysis, the remaining power needs are
sustained for a duration of 10 minutes
(e.g., to assist with a climb up a steep
hill).
d. Onboard Hydrogen Storage Tank
A FCEV is re-fueled like a gasoline or
diesel-fueled vehicle. We determined
the capacity of the onboard hydrogen
energy storage system using an
approach like the BEV methodology for
battery pack sizing in DRIA Chapter
2.4.1.1, but we based the amount of
hydrogen needed on the daily energy
consumption needs of a FCEV.
As described in DRIA Chapter 2.5.1.2,
we converted FCEV energy
consumption (kWh) into hydrogen
weight using an energy content of 33.33
kWh per kg of hydrogen. In our analysis,
95 percent of the hydrogen in the tank
(‘‘usable H2’’) can be accessed. This is
based on targets for light-duty vehicles,
where a 700-bar hydrogen fuel tank with
a capacity of 5.9 kg has 5.6 kg of usable
hydrogen.433 Furthermore, we added an
additional 10 percent to the tank size in
HD TRUCS to avoid complete depletion
of hydrogen from the tank.
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E. Technology, Charging Infrastructure,
and Operating Costs
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costs (Section II.E.3). DRIA Chapter
2.4.3. (for BEVs) and DRIA Chapter 2.5.2
(for FCEVs) includes the cost estimates
for each of the 101 applications. We
then discuss the Inflation Reduction Act
tax credits we quantified in our analysis
in Section II.E.4. Our assessment of
operating costs including the fuel or
electricity costs, along with the
maintenance and repair costs, are
presented in Section II.E.5. This
subsection concludes with the overall
payback analysis in Section II.E.6. DRIA
Chapter 2.8.2 includes the vehicle
technology costs, EVSE costs, operating
costs, and payback results for each of
the 101 HD applications. The
technology costs aggregated into
MOVES categories are also described in
detail in DRIA Chapter 3.1.
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absence of the IRA, which may mean
that it presents higher costs than will be
realized with the incentives in the IRA,
even when accounting for the battery
tax credit described in Section II.E.4. In
2025, the average cost is estimated to be
$163.50/kWh (2019$) and, in 2030, the
average cost is projected to fall to $100
(2019$). We applied a linear
interpolation of these values that yields
an estimated cost of $138/kWh (2019$)
for MY 2027. We then projected the
costs to MY 2032 by using an EPA
estimate of market learning related to
battery production and the respective
reduction in battery costs over this
period of time, as shown in Table II–11.
We request comment, including data, on
our approach and projections for battery
pack costs for the heavy-duty sector,
including values that specifically
incorporate the potential impacts of the
IRA.
TABLE II–11—DIRECT MANUFACTURING PACK-LEVEL BATTERY COSTS IN HD TRUCS
[2021$]
Model year
2027
2028
2029
2030
2031
2032
Battery Cost ($/kWh) ...........................................................................................
145
134
126
120
115
111
Batteries are the most significant cost
component for BEVs and the IRA
section 13502, ‘‘Advanced
Manufacturing Production Credit,’’ has
the potential to significantly reduce the
cost of BEVs whose batteries are
produced in the United States. As
discussed in Section II.E.4, we thus then
also accounted for the IRA Advanced
Manufacturing Production Credit,
which provides up to $45 per kWh tax
credits (with specified phase-out in
calendar years (CYs) 2030–2033) for the
production and sale of battery cells and
modules, and additional tax credits for
producing critical minerals such as
those found in batteries, when such
components or minerals are produced in
the United States and other criteria are
met.
An electric drive (e-drive)—another
major component of an electric
vehicle—includes the electric motor, an
inverter, a converter, and optionally, a
transmission system or gearbox. The
electric energy in the form of direct
current (DC) is provided from the
battery; an inverter is used to change the
DC into alternating current (AC) for use
by the motor. The motor then converts
the electric power into mechanical or
motive power to move the vehicle.
Conversely, the motor also receives AC
from the regenerative braking, whereby
the converter changes it to DC to be
stored in the battery. The transmission
reduces the speed of the motor through
a set of gears to an appropriate speed at
the axle. An emerging trend is to replace
the transmission and driveline with an
e-axle, which is an electric motor
integrated into the axle, e-axles are not
explicitly covered in our cost
analysis.438 We request data on e-axle
costs that we could consider for the
final rule.
Similar to the battery cost, there is a
range of electric drive cost projections
available in the literature. One reason
for the disparity is differences across the
literature is what is included in each for
the ‘‘electric drive’’; some cost estimates
include only the electric motor and
others present a more integrated model
of e-motor/inverter/gearbox
combination. As described in detail in
DRIA Chapter 2.4.3.2.1, EPA’s MY 2027
e-drive cost, shown in Table II–12,
comes from ANL’s 2022 BEAN model
and is a linear interpolation of the
average of the high- and low-tech
scenarios for 2025 and 2030, adjusted to
2021$.439 We then calculated MY 2028–
2032 values, also shown in Table II–12,
using an EPA estimate of market
learning shown in DRIA Chapter 3.2.1.
We welcome comment, including data,
on our assessment of e-drive costs.
TABLE II–12—E-DRIVE DIRECT MANUFACTURING COSTS IN HD TRUCS
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[$/kW] [2021$]
Model year
2027
2028
2029
2030
2031
2032
E-Drive Cost ($/kW) .............................................................................................
20
18
17
16
16
15
Gearbox and final drive units are used
to reduce the speed of the motor and
transmit torque to the axle of the
vehicle. In HD TRUCS, the final drive
unit direct manufacturing cost is $1,500
per unit, based on the ‘‘Power
Converter’’ average cost in ANL’s BEAN
model.440 The cost of the gearbox varies
depending on the vehicle weight class
and duty cycle. In our assessment, all
light heavy-duty BEVs would be direct
drive and have no transmission and
therefore no cost, consistent with ANL’s
BEAN model. We then mapped BEAN
gearbox costs for BEVs to the
appropriate medium heavy-duty and
heavy heavy-duty vehicles in HD
TRUCS. Gearbox and final drive costs
for BEVs are in DRIA Chapter 2.4.3.2.
Power electronics are another
electrification component (along with
batteries and motors) where a DC–DC
converter transitions high battery
voltage to a common 12V level for
auxiliary uses. EPA’s power electronics
and electric accessories costs of $6,000
per unit came from ANL’s BEAN
model.441 See DRIA Chapter 2.4.3.2.2
for further details.
When using a Level 2 charging plug,
an on-board charger converts AC power
from the grid to usable DC power via an
AC–DC converter. When using a DC fast
charger (DCFC), any AC–DC converter is
bypassed, and the high-voltage battery is
charged directly. As further discussed in
DRIA Chapter 2.4.3.3, EPA’s on-board
charger costs, as shown in Table II–13,
come from ANL’s BEAN model and we
averaged the low-tech and high-tech
values for 2025 and 2030, and then MY
438 E-axles are an emerging technology that have
potential to realize efficiency gains because they
have fewer moving parts.
439 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed December
2022).
440 Ibid.
441 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed August
2022).
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2027 was linearly interpolated and
adjusted to 2021$.442 We then
calculated the MY 2028–2032 costs
using the learning curve shown in DRIA
Chapter 3.2.1.
TABLE II–13—ON-BOARD CHARGER DIRECT MANUFACTURING COSTS IN HD TRUCS
[2021$]
Model year
2027
2028
2029
2030
2031
2032
On-Board Charger Cost ($/unit) ..........................................................................
38
35
33
31
30
29
The total upfront BEV direct
manufacturing cost is the summation of
the per-unit cost of the battery, motor,
power electronics, on-board charger,
gearbox, final drive, and accessories.
The total direct manufacturing
technology costs for BEVs for each of
the 101 vehicle types in HD TRUCS can
be found in DRIA Chapter 2.4.3.5 for
MY 2027 and MY 2032.
2. Charging Infrastructure Costs
In our analysis of depot charging
infrastructure costs, we account for the
cost to purchasers to procure both EVSE
(which we refer to as the hardware
costs) as well as costs to install the
equipment. These installation costs
typically include labor and supplies,
permitting, taxes, and any upgrades or
modifications to the on-site electrical
service. We developed our EVSE cost
estimates from the available literature,
as discussed in DRIA Chapter 2.6.
Both hardware and installation costs
could vary over time. For example,
hardware costs could decrease due to
manufacturing learning and economies
of scale. Recent studies by ICCT
assumed a 3 percent reduction in
hardware costs for EVSE per year to
2030.443 444 By contrast, installation
costs could increase due to growth in
labor or material costs. Installation costs
are also highly dependent on the
specifics of the site including whether
sufficient electric capacity exists to add
charging infrastructure and how much
trenching or other construction is
required. If fleet owners choose to
install charging stations at easier, and
therefore, lower cost sites first, then
installation costs could rise over time as
stations are developed at more
challenging sites. One of the ICCT
studies found that these and other
countervailing factors could result in
the average cost of a 150 kW EVSE port
in 2030 being similar (∼3 percent lower)
to that in 2021.445 After considering the
uncertainty on how costs may change
over time, we keep the combined
hardware and installation costs per
EVSE port constant. We request
comment on this approach.
Our infrastructure analysis centered
around four charging types for heavyduty depot charging. As shown in Table
II–14, the EVSE costs we used in our
analysis range from about $10,000 for a
Level 2 port to over $160,000 for a 350
kW DCFC port. As described in Chapter
2.6, in our analysis, we allow up to two
vehicles to share one DCFC port if there
is sufficient depot dwell time for both
vehicles to meet their daily charging
needs.446 In those cases, the EVSE costs
per vehicle are halved. We request
comment, including data, on our
approach and assessment of current and
future costs for charging equipment and
installation.
TABLE II–14—COMBINED HARDWARE AND INSTALLATION EVSE COSTS, PER VEHICLE
[2021$]
Charging type
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Level 2 (19.2 kW) ....................................................................................................................................................
DCFC–50 kW ...........................................................................................................................................................
DCFC–150 kW .........................................................................................................................................................
DCFC–350 kW .........................................................................................................................................................
Cost
Cost
(1 Vehicle per
port)
(2 Vehicles
per port)
$10,541
31,623
99,086
162,333
Not Applicable
$15,811
49,543
81,166
EPA acknowledges that there may be
additional infrastructure needs and
costs beyond those associated with
charging equipment itself. While
planning for additional electricity
demand is a standard practice for
utilities and not specific to BEV
charging, the buildout of public and
private charging stations (particularly
those with multiple high-powered DC
fast charging units) could in some cases
require upgrades to local distribution
systems. For example, a recent study
found power needs as low as 200 kW
could trigger a requirement to install a
distribution transformer.447 The use of
onsite battery storage and renewables
may be able to reduce the need for some
distribution upgrades; station operators
may also opt to install these to mitigate
demand charges associated with peak
442 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed August
2022).
443 Minjares, Ray, Felipe Rodriguez, Arijit Sen,
and Caleb Braun. ‘‘Infrastructure to support a 100%
zero-emission tractor-trailer fleet in the United
States by 2040’’. ICCT, September 2021. Available
online: https://theicct.org/sites/default/files/
publications/ze-tractor-trailer-fleet-us-hdvssept21.pdf.
444 Bauer, Gordon, Chih-Wei Hsu, Mike Nicholas,
and Nic Lutsey. ‘‘Charging Up America: Assessing
the Growing Need for U.S. Charging Infrastructure
Through 2030’’. The International Council on Clean
Transportation, July 2021. Available online: https://
theicct.org/wp-content/uploads/2021/12/chargingup-america-jul2021.pdf.
445 Ibid.
446 We note that for some of the vehicle types we
evaluated, more than two vehicles could share a
DCFC port and still meet their daily electricity
consumption needs. However, we choose to limit
sharing to two vehicles pending market
developments and more robust depot dwell time
estimates.
447 Borlaug, B., Muratori, M., Gilleran, M. et al,
‘‘Heavy-duty truck electrification and the impacts of
depot charging on electricity distribution systems,’’
Nat Energy 6, 673–682 (2021). Accessed on January
11, 2023, at https://doi.org/10.1038/s41560-02100855-0.
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power.448 However, there is
considerable uncertainty associated
with future distribution upgrade needs,
and in many cases, some costs may be
borne by utilities rather than directly
incurred by BEV or fleet owners.
Therefore, we do not model them
directly as part of our infrastructure cost
analysis. We welcome comments on this
and other aspects of our cost analysis.
As discussed in Section V, we model
changes to power generation due to the
increased electricity demand
anticipated in the proposal as part of
our upstream analysis. We project the
additional generation needed to meet
the demand of the heavy-duty BEVs in
the proposal to be relatively modest (as
shown in DRIA Chapter 6.5). As the
proposal is estimated to increase electric
power end use by heavy-duty electric
vehicles by 0.1 percent in 2027 and
increasing to 2.8 percent in 2055. The
U.S. electricity end use between the
years 1992 and 2021, a similar number
of years included in our proposal
analysis, increased by around 25
percent 449 without any adverse effects
on electric grid reliability or electricity
generation capacity shortages. Grid
reliability is not expected to be
adversely affected by the modest
increase in electricity demand
associated with HD BEV charging.
A GAO report noted that the private
sector and the government share
responsibility for the reliability of the
U.S. electric power grid. The report
stated, ‘‘Most of the electricity grid—the
commercial electric power transmission
and distribution system comprising
power lines and other infrastructure—is
owned and operated by private
industry. However, Federal, state, local,
Tribal, and territorial governments also
have significant roles in enhancing the
resilience of the electricity grid.’’ 450 For
instance, at the Federal level, the
Department of Homeland Security
(DHS) coordinates Federal efforts to
promote the security and reliability of
the nation’s energy sector; the
Department of Energy (DOE) leads
Federal efforts including research and
technology development; and the
lotter on DSK11XQN23PROD with PROPOSALS2
448 Matt
Alexander, Noel Crisostomo, Wendell
Krell, Jeffrey Lu, Raja Ramesh,’’ Assembly Bill 2127:
Electric Vehicle Charging Infrastructure
Assessment,’’ July 2021, California Energy
Commission. Accessed March 9, 2023, at https://
www.energy.ca.gov/programs-and-topics/programs/
electric-vehicle-charging-infrastructure-assessmentab-2127.
449 Annual Energy Outlook 2022, U.S. Energy
Information Administration, March 3, 2022 (https://
www.eia.gov/outlooks/aeo/narrative/introduction/
sub-topic-01.php).
450 Federal Efforts to Enhance Grid Resilience.
General Accounting Office, GAO–17–153, 1/25/
2017. https://www.gao.gov/assets/gao-17-153.pdf.
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Federal Energy Regulatory Commission
(FERC) regulates the interstate
electricity transmission and is
responsible for reviewing and approving
mandatory electric Reliability
Standards, which are developed by the
North American Electric Reliability
Corporation (NERC).451 NERC is the
federally designated U.S. electric
reliability organization which ‘‘develops
and enforces Reliability Standards;
annually assesses seasonal and
long-term reliability; monitors the bulk
power system through system
awareness; and educates, trains, and
certifies industry personnel.’’ 452 These
efforts help to keep the U.S. electric
power grid is reliable. We also
consulted with FERC and EPRI staff on
bulk power system reliability and
related issues.
U.S. electric power utilities routinely
upgrade the nation’s electric power
system to improve grid reliability and to
meet new electric power demands. For
example, when confronted with rapid
adoption of air conditioners in the
1960s and 1970s, U.S. electric power
utilities successfully met the new
demand for electricity by planning and
building upgrades to the electric power
distribution system. Likewise, U.S.
electric power utilities planned and
built distribution system upgrades
required to service the rapid growth of
power-intensive data centers and server
farms over the past two decades. U.S.
electric power utilities have already
successfully designed and built the
distribution system infrastructure
required for 1.4 million battery electric
vehicles.453 Utilities have also
successfully integrated 46.1 GW of new
utility-scale electric generating capacity
into the grid.454
When taking into consideration
ongoing upgrades to the U.S. electric
power grid, and that the U.S. electric
power utilities generally have more
capacity to produce electricity than is
consumed,455 the expected increase in
electric power demand attributable to
vehicle electrification is not expected to
adversely affect grid reliability due to
451 Electricity Grid Resilience. General
Accounting Office, GAO–21–105403, 9/20/2021,
https://www.gao.gov/assets/gao-21-105403.pdf.
452 North American Electric Reliability
Corporation. ‘‘About NERC’’. Available online:
https://www.nerc.com/AboutNERC/Pages/
default.aspx.
453 U.S. DOE Alternative Fuels Data Center, Maps
and Data—Electric Vehicle Registrations by State,
https://afdc.energy.gov/data/.
454 EIA, ‘‘Electric Power Annual 2021’’, November
2022. Available online: https://www.eia.gov/
electricity/annual/html/epa_01_01.html.
455 EIA, ‘‘Electric Power Annual 2021’’, November
2022. Available online: https://www.eia.gov/
electricity/annual/html/epa_01_01.html.
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the modest increase in electricity
demand associated with electric vehicle
charging. The additional electricity
demand from HD BEVs will depend on
the time of day that charging occurs, the
type or power level of charging, and the
use of onsite storage and vehicle-to-grid
(V2G) or other vehicle-grid-integration
(VGI) technology, among other
considerations, as discussed in DRIA
Chapter 1.6.4. As noted by Lipman et
al.,456 a wide variety of organizations
are engaged in VGI research, including
the California Energy Commission,457
California Public Utilities
Commission,458 California Independent
System Operator,459 the Electric Power
Research Institute, as well as charging
providers, utilities (e.g., SCE, PG&E,
SDG&E), and automakers. Electric
Island, a truck charging station
deployed by Daimler Trucks North
America and Portland General Electric
which is planned to eventually include
megawatt-level charging, will offer an
opportunity to test energy management
and VGI with heavy-duty BEVs. Future
plans for Electric Island also include the
use of onsite solar generation and
battery storage.460
Finally, we note that DOE is engaged
in multiple efforts to modernize the grid
and improve resilience and reliability.
For example, in November 2022, DOE
announced $13 billion in funding
opportunities under the BIL to support
transmission and distribution
infrastructure. This includes $3 billion
for smart grid grants with a focus on
PEV integration among other topics.461
456 Lipman, Timothy, Alissa Harrington, and
Adam Langton. 2021. ‘‘Total Charge Management of
Electric Vehicles.’’ California Energy Commission.’’
Publication Number: CEC–500–2021–055. Available
online: https://www.energy.ca.gov/sites/default/
files/2021-12/CEC-500-2021-055.pdf.
457 Chhaya, S., et al., ‘‘Distribution System
Constrained Vehicle-to-Grid Services for Improved
Grid Stability and Reliability,’’ Publication Number:
CEC–500–2019–027, 2019. Available online:
https://www.energy.ca.gov/sites/default/files/202106/CEC-500-2019-027.pdf.
458 Order Instituting Rulemaking to Continue the
Development of Rates and Infrastructure for Vehicle
Electrification. California Public Utilities
Commission, Rulemaking 18–12–006, 12/21/2020.
459 California Independent System Operator
(CAISO), ‘‘California Vehicle-Grid Integration (VGI)
Roadmap: Enabling vehicle-based grid services,’’
February 2014.
460 PGE, ‘‘Daimler Trucks North America,
Portland General Electric open first-of-its-kind
heavy-duty electric truck charging site,’’ April 21,
2021. Available online: https://
portlandgeneral.com/news/2021-04-21-daimlerportland-general-electric-open-electric-chargingsite.
461 DOE, ‘‘Biden-Harris Administration
Announces $13 Billion to Modernize and Expand
America’s Power Grid,’’ November 18, 2022.
Available online: https://www.energy.gov/articles/
biden-harris-administration-announces-13-billionmodernize-and-expand-americas-power-grid.
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3. FCEV Technology Costs
FCEVs and BEVs include many of the
same components such as a battery
pack, e-motor, power electronics,
gearbox unit, final drive, and electrical
accessories. Therefore we used the same
costs for these components across
vehicles used for the same applications;
for detailed descriptions of these
components, see DRIA Chapter 2.4.3. In
this subsection and DRIA Chapter 2.5.2,
we present the costs for components for
FCEVs that are different from a BEV.
These components include the fuel cell
stack and hydrogen fuel tank. The same
energy cell battery costs used for BEVs
are used for fuel cell vehicles, but the
battery size of a comparable FCEV is
smaller. We request comment, including
data, on our approach and cost
projections for FCEV components.
i. Fuel Cell Stack Costs
The fuel cell stack is the most
expensive component of a heavy-duty
FCEV. Fuel cells for the heavy-duty
sector are expected to be more
expensive than fuel cells for the lightduty sector because they operate at
higher average continuous power over
their lifespan, which requires a larger
fuel cell stack size, and because they
have longer durability needs (i.e.,
technology targets are for 25,000 to
30,000 hours for a truck versus 8,000
hours for cars).462
Projected costs vary widely in the
literature. They are expected to decrease
as manufacturing matures. Larger
production volumes are anticipated as
global demand increases for fuel cell
systems for HD vehicles, which could
improve economies of scale.463 Costs are
also anticipated to decline as durability
improves, which could extend the life of
fuel cells and reduce the need for parts
replacement.464 Burke et al. compared
estimates from the literature and chose
values of $240 per kW in 2025 for a high
case in their analysis, based on 1,000
heavy-duty fuel cell units produced per
year, and $145 per kW for both a low
case in 2025 and a high case in 2030,
based on 3,000 units produced per
year.465
The interim DOE cost target for Class
8 tractor-trailer fuel stacks is $80 per kW
by 2030. Their ultimate target is $60 per
kW in 2050, set to ensure that costs are
comparable to those of advanced diesel
engines and other factors. These targets
are based on 100,000 units per year
production volume. They pointed to
analysis that suggests that 2019 costs at
a manufacturing volume of 1,000 units
per year were around $190 per kW.466
In BEAN model updates, ANL estimated
a range based on vehicle type of
between $156 per kW and $174 per kW
in 2025, and from $65 per kW to $99 per
kW by 2035.467
A Sharpe and Basma meta-study of
other reports found 2025 costs ranging
from $750 per kW to $50 per kW. The
authors stated that they expect fuel cell
costs to drop by about 30 percent
between 2025 and 2030 due to
manufacturer learning, improved
materials and performance, and
economies of scale.468 Like the
approach we took for BEV battery costs,
we averaged the 2025 cost values from
the Sharpe and Basma meta-study,
averaged the 2030 values, and then
linearly interpolated to get MY 2027
values and adjusted to 2021$; we then
applied the learning curve shown in
DRIA Chapter 3.2.1 to calculate MY
2028–2032 values. The resulting fuel
cell stack direct manufacturing costs are
shown in Table II–15.469
TABLE II–15—HD FUEL CELL STACK DIRECT MANUFACTURING COSTS
[2021$]
Model year
2027
2028
2029
2030
2031
2032
$/kW .....................................................................................................................
242
223
210
200
192
185
Hydrogen storage cost projections also
vary widely in the literature. Sharpe and
Basma reported costs ranging from as
high as $1,289 per kg to $375 per kg of
usable hydrogen in 2025. They expect
hydrogen tank costs to drop by 21
percent between 2025 and 2030 due to
lighter weight and lower cost carbon
fiber-reinforced materials, technology
improvements, and economies of
scale.470
The interim DOE target for Class 8
tractor-trailers is $300 per kg of
hydrogen by 2030. Their ultimate target
is $266 per kg (2016$) by 2050. They
include all components necessary to
support the tank and are based on a
production volume of 100,000 tanks per
year. They point to analysis that
suggests that 2019 costs for 700-bar
tanks at a manufacturing volume of
1,000 tanks per year were roughly
$1,200 per kg.471 For reference, the
Kenworth ‘‘beta’’ fuel cell truck holds
462 Marcinkoski, Jason et. al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
463 Deloitte China. ‘‘Fueling the Future of
Mobility: Hydrogen and fuel cell solutions for
transportation, Volume 1’’. 2020. Available online:
https://www2.deloitte.com/content/dam/Deloitte/
cn/Documents/finance/deloitte-cn-fueling-thefuture-of-mobility-en-200101.pdf.
464 Deloitte China. ‘‘Fueling the Future of
Mobility: Hydrogen and fuel cell solutions for
transportation, Volume 1’’. 2020. Available online:
https://www2.deloitte.com/content/dam/Deloitte/
cn/Documents/finance/deloitte-cn-fueling-thefuture-of-mobility-en-200101.pdf.
465 U.S. Department of Energy. ‘‘DOE National
Clean Hydrogen Strategy and Roadmap’’. Draft
September 2022. Available online: https://
www.hydrogen.energy.gov/pdfs/clean-hydrogenstrategy-roadmap.pdf.
466 Marcinkoski, Jason et. al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf. https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
467 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed December
2022).
468 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation,
Working Paper 2022–09 (February 2022). Available
online: https://theicct.org/publication/purchasecost-ze-trucks-feb22/.
469 IRA section 13502 provides tax credits for 10
percent of the cost of producing applicable critical
materials, including those found in fuel cells
(providing that the minerals meet certain
specifications), when such components or minerals
are produced in the U.S. We did not include a
detailed cost breakdown of fuel cells quantitatively
in our analysis, but the potential impact of the tax
credit on fuel cells may be significant because
platinum (an applicable critical mineral commonly
used in fuel cells) is a major contributor to the cost
of fuel cells.
470 Sharpe, Ben and Hussein Basma. ‘‘A metastudy of purchase costs for zero-emission trucks’’.
The International Council on Clean Transportation,
Working Paper 2022–09 (February 2022). Available
online: https://theicct.org/publication/purchasecost-ze-trucks-feb22/.
471 Marcinkoski, Jason et al. ‘‘DOE Advanced
Truck Technologies: Subsection of the Electrified
Powertrain Roadmap—Technical Targets for
Hydrogen-Fueled Long-Haul Tractor-Trailer Trucks.
October 31, 2019. Available online: https://
www.hydrogen.energy.gov/pdfs/19006_hydrogen_
class8_long_haul_truck_targets.pdf.
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six 10-kg hydrogen storage tanks at 700
bar.472
Like the approach we took for battery
and fuel cell stack costs, we averaged all
of the 2025 cost values in the Sharpe
and Basma meta-study, averaged all of
the 2030 values, and then linearly
interpolated to determine the MY 2027
value, adjusted to 2021 dollars. We
applied the learning curve shown in
DRIA Chapter 3.2.1 to calculate MY
2028–2032 values. The hydrogen fuel
tank direct manufacturing costs are
shown in Table II–16.
TABLE II–16—HYDROGEN FUEL TANK DIRECT MANUFACTURING COSTS
[2021$]
MY 2027
MY 2028
MY 2029
MY 2030
MY 2031
MY 2032
801
738
694
660
634
612
$/kg H2 .....................................................................................................
4. Inflation Reduction Act Tax Credits
The IRA,473 which was signed into
law on August 16, 2022, includes a
number of provisions relevant to vehicle
electrification. There are two provisions
of the IRA we included within our
quantitative analysis in HD TRUCS.
First, Section 13502, ‘‘Advanced
Manufacturing Production Credit,’’
provides up to $45 per kWh tax credits
for the production and sale of battery
cells and modules when such
components are produced in the United
States and other qualifications are met.
Second, Section 13403, ‘‘Qualified
Commercial Clean Vehicles,’’ provides
for a vehicle tax credit applicable to HD
vehicles if certain qualifications are met.
Beyond these two tax credits described
in sections 13403 and 13502 of the IRA,
there are numerous provisions in the
IRA and the BIL474 that may impact HD
vehicles and increase adoption of HD
ZEV technologies. These range from tax
credits across the supply chain, to
grants which may help direct ZEVs to
communities most burdened by air
pollution, to funding for programs to
build out electric vehicle charging
infrastructure, as described in Section I
of this preamble and DRIA Chapter
1.3.2. We welcome comment on our
assessment of how the IRA will impact
the heavy-duty industry, and how EPA
could consider reflecting those impacts
in our assessment for establishing the
HD GHG standards under this proposal,
including comment on methods to
appropriately account for these
provisions in our assessment.
Regarding the first of the two
provisions, IRA section 13502,
‘‘Advanced Manufacturing Production
Credit,’’ provides up to $45 per kWh tax
credits for the production and sale of
battery cells (up to $35 per kWh) and
modules (up to $10 per kWh) and 10
percent of the cost of producing critical
minerals such as those found in
batteries, when such components or
minerals are produced in the United
States and other qualifications are met.
These credits begin in CY 2023 and
phase down starting in CY 2030, ending
after CY 2032. As further discussed in
DRIA Chapter 2.4.3.1, we recognize that
there are currently few manufacturing
plants for HD vehicle batteries in the
United States. We expect that the
industry will respond to this tax credit
incentive by building more domestic
battery manufacturing capacity in the
coming years, in part due to the BIL and
IRA. For example, Proterra recently
announced its first heavy-duty battery
manufacturing plant in the United
States,475 Tesla is expanding its
facilities in Nevada to produce its Semi
BEV tractor and battery cells,476 and
Cummins has entered into an agreement
with Arizona-based Sion Power to
design and supply battery cells for
commercial electric vehicle
applications.477 In addition, DOE is
funding through the BIL battery
materials processing and manufacturing
projects to ‘‘support new and expanded
commercial-scale domestic facilities to
process lithium, graphite and other
battery materials, manufacture
components, and demonstrate new
approaches, including manufacturing
components from recycled
materials.’’ 478 Thus, we model this tax
credit in HD TRUCS such that HD BEV
and FCEV manufacturers fully utilize
the battery module tax credit and
gradually increase their utilization of
the cell tax credit for MY 2027–2029
until MY 2030 and beyond, when they
earn 100 percent of the available cell
and module tax credits. The battery
pack costs and battery tax credits used
in our analysis are shown in Table II–
17. We request comment on our
approach to modeling this tax credit,
including our projection that the full
value of the tax credit earned by the
manufacturer is passed through to the
purchaser because market competition
would drive manufacturers to minimize
their prices.
TABLE II–17—PACK-LEVEL BATTERY DIRECT MANUFACTURING COSTS AND IRA TAX CREDITS IN HD TRUCS
[2021$]
Model year
2027
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Battery Pack Cost ($/kWh) ......................................................................
472 https://www.kenworth.com/media/voffdzok/
ata-fuel-cell-flyer-08-25-2021-v2.pdf and https://
www.greencarreports.com/news/1120765_toyotaand-kenworth-to-build-10-fuel-cell-semis-for-laport-duty.
473 Inflation Reduction Act of 2022, Public Law
117–169, 136 Stat. 1818 (2022) (‘‘Inflation
Reduction Act’’ or ‘‘IRA’’), available at https://
www.congress.gov/117/bills/hr5376/BILLS117hr5376enr.pdf.
474 United States, Congress. Public Law 117–58.
Infrastructure Investment and Jobs Act of 2021.
Congress.gov, www.congress.gov/bill/117thcongress/house-bill/3684/text. 117th Congress,
House Resolution 3684, passed 15 Nov. 2021.
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475 Proterra. ‘‘First Proterra Powered commercial
EV battery produced at new Powered 1 battery
factory’’. January 12, 2023. Available online:
https://www.proterra.com/press-release/firstbattery-at-powered1-factory/.
476 Sriram, Akash, Aditya Soni, and Hyunjoo Jin.
‘‘Tesla plans $3.6 bln Nevada expansion to make
Semi truck, battery cells.’’ Reuters. January 25,
2023. Last accessed on March 31, 2023 at https://
www.reuters.com/markets/deals/tesla-invest-over36-bln-nevada-build-two-new-factories-2023-01-24/.
477 Sion Power. ‘‘Cummins Invests in Sion Power
to Develop Licerion® Lithium Metal Battery
Technology for Commercial Electric Vehicle
Applications’’. November 30, 2021. Available
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126
2030
120
2031
115
2032
111
online: https://sionpower.com/2021/cumminsinvests-in-sion-power-to-develop-licerion-lithiummetal-battery-technology-for-commercial-electricvehicle-applications/.
478 U.S. Department of Energy. ‘‘Bipartisan
Infrastructure Law: Battery Materials Processing
and Battery Manufacturing & Recycling Funding
Opportunity Announcement—Factsheets’’. October
19, 2022. Available online: https://www.energy.gov/
sites/default/files/2022-10/DOE%20BIL%20
Battery%20FOA-2678%20Selectee%20
Fact%20Sheets%20-%201_2.pdf.
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[2021$]
Model year
2027
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IRA Cell Credit ($/kWh) ...........................................................................
IRA Module Credit ($/kWh) ......................................................................
IRA Total Battery Credit ($/kWh) .............................................................
Battery Pack Cost Less IRA Total Battery Credit ($/kWh) ......................
Regarding the second of the two
provisions, IRA section 13403 creates a
tax credit applicable to each purchase of
a qualified commercial clean vehicle.
These vehicles must be on-road vehicles
(or mobile machinery) that are propelled
to a significant extent by a batterypowered electric motor. The battery
must have a capacity of at least 15 kWh
(or 7 kWh if it is Class 3 or below) and
must be rechargeable from an external
source of electricity. This limits the
qualified vehicles to BEVs and plug-in
hybrid electric vehicles (PHEVs).
Additionally, fuel cell electric vehicles
(FCEVs) are eligible. The credit is
available from calendar year (CY) 2023
through 2032, which overlaps with the
model years for which we are proposing
standards (MYs 2027 through 2032), so
we included the tax credit in our
calculations for each of those years in
HD TRUCS.
For BEVs and FCEVs, the tax credit is
equal to the lesser of: (A) 30 percent of
the BEV or FCEV cost, or (B) the
incremental cost of a BEV or FCEV
when compared to a comparable ICE
vehicle. The limit of this tax credit is
$40,000 for Class 4–8 commercial
vehicles and $7,500 for commercial
vehicles Class 3 and below. For
example, if a BEV costs $350,000 and a
comparable ICE vehicle costs
$150,000,479 the tax credit would be the
lesser of: (A) 0.30 × $350,000 = $105,000
or (B) $350,000 ¥ $150,000 = $200,000.
In this example, (A) is less than (B), but
(A) exceeds the limit of $40,000, so the
tax credit would be $40,000.
We included this tax credit in HD
TRUCS by decreasing the incremental
upfront cost a vehicle purchaser must
pay for a ZEV compared to a comparable
ICE vehicle following the process
explained in the previous paragraph.
The calculation for this tax credit was
done after applying a retail price
equivalent to our direct manufacturing
costs. We did not calculate the full cost
of vehicles in our analysis, instead we
determined that all Class 4–8 ZEVs
479 Sharpe, B., Basma, H. ‘‘A meta-study of
purchase costs for zero-emission trucks’’.
International Council on Clean Transportation.
February 17, 2022. Available online: https://
theicct.org/wp-content/uploads/2022/02/purchasecost-ze-trucks-feb22-1.pdf.
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8.75
10.00
18.75
126.25
2028
17.50
10.00
27.50
106.50
could be eligible for the full $40,000 (or
$7,500 for ZEVs Class 3 and below) if
the incremental cost calculated
compared to a comparable ICE vehicle
was greater than that amount. In order
for this determination to be true, all
Class 4–8 ZEVs must cost more than
$133,333 such that 30 percent of the
cost is at least $40,000 (or $25,000 and
$7,500, respectively, for ZEVs Class 3
and below), which seems reasonable
based on our assessment of the
literature.480 As in the calculation
described in the previous paragraph,
both (A) and (B) are greater than the tax
credit limit and the vehicle purchaser
may receive the full tax credit. The
incremental cost of a ZEV taking into
account the tax credits for each vehicle
segment in MY 2027 and MY 2032 are
included in DRIA Chapter 2.8.2. We
welcome comment on how we included
the IRA tax credits for HD vehicles in
our assessment.
5. Operating Costs
Operating costs for HD vehicles
encompass a variety of costs, such as
labor, insurance, registration fees,
fueling, maintenance and repair (M&R),
and other costs. For this analysis, we are
primarily interested in costs that would
differ for a comparable diesel-powered
ICE vehicle and a ZEV.481 These
operational cost differences are used to
calculate an estimated payback period
in HD TRUCS. We expect fueling costs
and M&R costs to be different for ZEVs
than for comparable diesel-fueled ICE
vehicles, but we do not anticipate other
operating costs, such as labor and
insurance, to differ significantly, so the
following subsections focus on M&R
and fueling costs. Operating costs are
averaged over a 10-year time period of
480 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M.A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. April 1, 2021. Available at
https://publications.anl.gov/anlpubs/2021/05/
167399.pdf.
481 For diesel-fueled ICE vehicles, we also
estimated the cost of the diesel exhaust fluid (DEF)
required for the selective catalytic reduction
aftertreatment system. See DRIA Chapter 2.3.4.1 for
DEF costs.
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2029
26.25
10.00
36.25
89.75
2030
26.25
7.50
33.75
86.25
2031
17.50
5.00
22.50
92.50
2032
8.75
2.50
11.25
99.75
the annual M&R cost and annual fuel
cost.
i. Maintenance and Repair Costs
M&R costs contribute to the overall
operating costs for HD vehicles. To
establish a baseline cost for
maintenance and repair of diesel-fueled
ICE vehicles, we relied on the research
compiled by Burnham et al. and used
equations found in the ANL’s BEAN
model.482 483 Burnham et al. used data
from Utilimarc and the American
Transportation Research Institute
(ATRI) to estimate maintenance and
repair costs per mile for multiple heavyduty vehicle categories over time. We
selected the box truck curve to represent
vocational vehicles and short-haul
tractors, and the semi-tractor curve to
represent long-haul tractors.484
Additional details regarding this
analysis can be found in DRIA Chapter
2.3.4.2. Averaging the M&R costs for
years 0–9 yields about 67 cents per mile
for vocational vehicles and short-haul
tractors and about 25 cents per mile for
long-haul tractors, after adjusting to
2021$. We welcome comment,
including additional data, on our
approach and assessment of HD ICE
vehicle M&R costs.
Data on real-world M&R costs for HD
ZEVs is limited due to limited HD ZEV
technology adoption today. We expect
the overall maintenance costs to be
lower for ZEVs compared to a
comparable ICE vehicles for several
reasons. First, an electric powertrain has
fewer moving parts that accrue wear or
need regular adjustments. Second, ZEVs
do not require fluids such as engine oil
or diesel exhaust fluid (DEF), nor do
they require exhaust filters to reduce
482 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M.A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. Chapter 3.5.5. April 1, 2021.
Available at https://publications.anl.gov/anlpubs/
2021/05/167399.pdf.
483 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://vms.taps.
anl.gov/tools/bean/ (accessed August 2022).
484 Short haul tractors and vocational vehicles are
represented by the same M&R equation because
they have duty cycles and annual VMT that are
similar.
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particulate matter or other pollutants.
Third, the per-mile rate of brake wear is
expected to be lower for ZEVs due to
regenerative braking systems. Several
literature sources propose applying a
scaling factor to diesel vehicle
maintenance costs to estimate ZEV
maintenance costs.485 486 487 We followed
this approach and applied a
maintenance and repair cost scaling
factor of 0.71 for BEVs and 0.75 for
FCEVs to the maintenance and repair
costs of diesel-fueled ICE vehicles. The
scaling factors are based on an analysis
from Wang et al. that estimates a future
BEV heavy-duty truck would have a 29
percent reduction, and a future FCEV
heavy-duty vehicle would have a 25
percent reduction, compared to a dieselpowered heavy-duty vehicle.488 489 We
welcome comment on our approach and
these projections.
In our payback analysis in HD
TRUCS, we did not account for
potential diesel engine rebuild costs for
ICE vehicles, potential replacement
battery costs for BEVs, or potential
replacement fuel cell stack costs for
FCEVs because our payback analysis
typically covers a shorter period of time
than the expected life of these
components. Typical battery warranties
being offered by HD BEV manufacturers
range between 8 and 15 years today.490
485 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M.A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. April 1, 2021. Available
online: https://publications.anl.gov/anlpubs/2021/
05/167399.pdf.
486 Hunter, Chad, Michael Penev, Evan Reznicek,
Jason Lustbader, Alicia Birkby, and Chen Zhang.
‘‘Spatial and Temporal Analysis of the Total Cost
of Ownership for Class 8 Tractors and Class 4 Parcel
Delivery Trucks’’. National Renewable Energy Lab.
September 2021. Available online: https://
www.nrel.gov/docs/fy21osti/71796.pdf.
487 Burke, Andrew, Marshall Miller, Anish Sinha,
et. al. ‘‘Evaluation of the Economics of BatteryElectric and Fuel Cell Trucks and Buses: Methods,
Issues, and Results’’. August 1, 2022. Available
online: https://escholarship.org/uc/item/1g89p8dn.
488 Wang, G., Miller, M., and Fulton, L.’’
Estimating Maintenance and Repair Costs for
Battery Electric and Fuel Cell Heavy Duty Trucks,
2022. Available online: https://escholarship.org/
content/qt36c08395/qt36c08395_noSplash_
589098e470b036b3010eae00f3b7b618.pdf?t=r6zwjb.
489 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M.A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. April 1, 2021. Available
online: https://publications.anl.gov/anlpubs/2021/
05/167399.pdf.
490 Type C BEV school bus battery warranty range
five to fifteen years according to https://
www.nyapt.org/resources/Documents/WRI_ESBBuyers-Guide_US-Market_2022.pdf. The
Freightliner electric walk-in van includes an eight
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A BEV battery replacement may be
practically necessary over the life of a
vehicle if the battery deteriorates to a
point where the vehicle range no longer
meets the vehicle’s operational needs.
We believe that proper vehicle and
battery maintenance and management
can extend battery life. For example,
manufacturers will utilize battery
management system to maintain the
temperature of the battery 491 as well
active battery balancing to extend the
life of the battery.492 493 Likewise, preconditioning has also shown to extend
the life of the battery as well.494
Furthermore, research suggests that
battery life is expected to improve with
new batteries over time as battery
chemistry and battery charging
strategies improve, such that newer MY
BEVs will have longer battery life. We
request comment on this approach for
both ICE vehicles and ZEVs, in addition
to data on battery and fuel stack
replacement costs, engine rebuild costs,
and expected component lifetime
periods.
ii. Fuel, Electricity, and Hydrogen Costs
The annual fuel cost for operating a
diesel-fueled ICE vehicle is a function of
its yearly fuel consumption and the cost
of diesel fuel. The yearly fuel
consumption is described in DRIA
Chapter 2.3.4.3. We used the DOE
Energy Information Administration’s
(EIA) Annual Energy Outlook (AEO)
2022 transportation sector reference
case projection for diesel fuel for onroad use for diesel prices.495 This value
includes Federal and State taxes but
excludes county and local taxes. The
year battery warranty according to https://
www.electricwalkinvan.com/wp-content/uploads/
2022/05/MT50e-specifications-2022.pdf.
491 Basma, Hussein, Charbel Mansour, Marc
Haddad, Maroun Nemer, Pascal Stabat.
‘‘Comprehensive energy modeling methodology for
battery electric buses’’. Energy: Volume 207, 15
September 2020, 118241. Available online: https://
www.sciencedirect.com/science/article/pii/
S0360544220313487.
492 Bae, SH., Park, J.W., Lee, S.H. ‘‘Optimal SOC
Reference Based Active Cell Balancing on a
Common Energy Bus of Battery’’ Available online:
https://koreascience.or.kr/article/JAKO2017
09641401357.pdf.
493 Azad, F.S., Ahasan Habib, A.K.M., Rahman,
A., Ahmed I. ‘‘Active cell balancing of Li-Ion
batteries using single capacitor and single LC series
resonant circuit.’’ https://beei.org/index.php/EEI/
article/viewFile/1944/1491.
494 ‘‘How to Improve EV Battery Performance in
Cold Weather’’ Accessed on March 31, 2023.
https://www.worktruckonline.com/10176367/howto-improve-ev-battery-performance-in-cold-weather.
495 U.S. Energy Information Administration.
Annual Energy Outlook 2022. Last accessed on 9/
28/2022 at https://www.eia.gov/outlooks/aeo/data/
browser/#/?id=3-AEO2022&cases=ref2022∼
highmacro∼lowmacro∼highprice∼lowprice∼
highogs∼lowogs∼hirencst∼lorencst∼aeo2019ref&
sourcekey=0.
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average annual fuel cost is averaged
over a 10-year period.
The annual electricity cost for
operating a HD electric vehicle is a
function of the electricity price, daily
energy consumption of the vehicle, and
number of operating days in a year. In
HD TRUCS, we used the DOE EIA AEO
2022 reference case commercial
electricity end-use rate projection.496
We selected this value instead of the
transportation end use prices in AEO
because those are similar to the prices
for the residential sector, which implies
they may be more relevant to light-duty
vehicle charging than commercial truck
charging.
For the purposes of the HD TRUCS
analysis, rather than focusing on depot
hydrogen fueling infrastructure costs
that would be incurred upfront, we
included infrastructure costs in our perkilogram retail price of hydrogen. The
retail price of hydrogen is the total price
of hydrogen when it becomes available
to the end user, including the costs of
production, distribution, storage, and
dispensing at a fueling station. This
price per kilogram of hydrogen includes
the amortization of the station capital
costs. This approach is consistent with
the method we use in HD TRUCS for
ICE vehicles, where the equivalent
diesel fuel costs are included in the
diesel fuel price instead of accounting
for the costs of fuel stations separately.
We acknowledge that this market is
still emerging and that hydrogen fuel
providers will likely pursue a diverse
range of business models. For example,
some businesses may sell hydrogen to
fleets through a negotiated contract
rather than at a flat market rate on a
given day. Others may offer to absorb
the infrastructure development risk for
the consumer, in exchange for the
ability to sell excess hydrogen to other
customers and more quickly amortize
the cost of building a fueling station.
FCEV manufacturers may offer a
‘‘turnkey’’ solution to fleets, where they
provide a vehicle with fuel as a package
deal. These uncertainties are not
reflected in our hydrogen price
estimates presented in the DRIA.
As discussed in DRIA Chapter 1.3.2
and 1.8, large incentives are in place to
reduce the price of hydrogen
production, particularly from
electrolytic sources. In June 2021, DOE
launched a Hydrogen Shot goal to
reduce the cost of renewable hydrogen
496 U.S. Department of Energy, Energy
Information Administration. Annual Energy
Outlook 2022, Table 8: Electricity Supply,
Disposition, Prices, and Emissions. September 21,
2022. Available online: https://www.eia.gov/
outlooks/aeo/data/browser/#/?id=8AEO2022&cases=ref2022&sourcekey=0.
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production by 80 percent to $1 per
kilogram in one decade.497 The BIL and
IRA included funding for several
hydrogen programs to accelerate
progress towards the Hydrogen Shot and
jumpstart the hydrogen market in the
U.S.
For example, the BIL requires
development of a National Clean
Hydrogen Strategy and Roadmap. In
September 2022, DOE released a draft of
a holistic plan that shows how low-GHG
hydrogen can help reduce emissions
throughout the country by about 10
percent by 2050 relative to 2005
levels.498 DRIA Chapter 2.5.3.1 further
discusses DOE’s National Clean
Hydrogen Strategy and Roadmap.
Recent analysis from ANL using
BEAN includes a hydrogen price of
$4.37 per gallon diesel equivalent (gde)
in 2030,499 which equates to roughly
$3.92 per kg hydrogen.500 501 This
analysis was published after the IRA
was passed, and reflects a lower H2
price in 2030 than was in the previous
year’s analysis.502 This price is at the
low end of the range published in DOE’s
‘‘Pathways to Commercial Liftoff’’ report
on Clean Hydrogen (‘‘Liftoff Report’’),
which projects that heavy-duty road
transport can expect to pay a retail price
497 Satyapal, Sunita. ‘‘2022 AMR Plenary
Session’’. U.S. Department of Energy, Hydrogen and
Fuel Cell Technologies Office. June 6, 2022.
Available online: https://www.energy.gov/sites/
default/files/2022-06/hfto-amr-plenary-satyapal2022-1.pdf.
498 U.S. Department of Energy. ‘‘DOE National
Clean Hydrogen Strategy and Roadmap’’. Draft
September 2022. Available online: https://
www.hydrogen.energy.gov/pdfs/clean-hydrogenstrategy-roadmap.pdf.
499 Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric
Rousseau. ‘‘A Comprehensive Simulation Study to
Evaluate Future Vehicle Energy and Cost Reduction
Potential’’, Report to the U.S. Department of Energy,
Contract ANL/ESD–22/6, October 2022. See
Medium- and heavy-duty vehicles (technoeconomic analysis with BEAN). Available online:
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
500 The conversion used was 1 gallon of diesel is
equivalent to 1.116 kg of hydrogen, based on a
lower heating value.
501 Hydrogen Tools ‘‘Energy Equivalency of Fuels
(LHV)’’. U.S. Department of Energy: Pacific
Northwest National Laboratory. Available online:
https://h2tools.org/hyarc/hydrogen-data/energyequivalency-fuels-lhv.
502 Islam, Ehsan Sabri. Ram Vijayagopal, Ayman
Moawad, Namdoo Kim, Benjamin Dupont, Daniela
Nieto Prada, Aymeric Rousseau, ‘‘A Detailed
Vehicle Modeling & Simulation Study Quantifying
Energy Consumption and Cost Reduction of
Advanced Vehicle Technologies Through 2050,’’
Report to the U.S. Department of Energy, Contract
ANL/ESD–21/10, October 2021. See previous
reports and analysis: 2021. Available online:
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
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of between $4 and $5 per kg of hydrogen
in 2030 if advances in distribution and
storage are commercialized.503 This
price incorporates BIL and IRA
incentives for hydrogen.504 Other DOE
estimates prior to the IRA ranged from
$6-$7 per kg in 2030, inclusive of
production, delivery, and dispensing,
with the range representing uncertainty
in the assumed rate of technological
progress.505 506 507
Other available estimates explore
clean hydrogen production costs alone.
For example, Rhodium Group found a
hydrogen producer price of $0.39–1.92
per kg, including the IRA hydrogen
production tax credit and assuming the
use of utility-scale solar to produce
hydrogen.508 McKinsey projected green
hydrogen costs of roughly $1.30–2.30
per kg in 2030, produced using alkaline
electrolyzers. Their analysis did not
mention the IRA. It showed lower costs
for blue and grey hydrogen in 2030
before green hydrogen out-competes
both by around 2040.509 An ICCT
503 U.S. Department of Energy. ‘‘Pathways to
Commercial Liftoff: Clean Hydrogen’’. March 2023.
Available online: https://liftoff.energy.gov/wpcontent/uploads/2023/03/20230320-Liftoff-CleanH2-vPUB.pdf.
504 The Liftoff Report and draft National Strategy
say that fuel cell trucks and buses can be one of the
first new sectors to adopt hydrogen because of a
higher ‘‘willingness to pay’’ for fuel (i.e., a threshold
price at which they can remain competitive)
compared to other hard-to-decarbonize sectors like
chemicals and steel.
505 Islam, Ehsan Sabri., Ram Vijayagopal, Ayman
Moawad, Namdoo Kim, Benjamin Dupont, Daniela
Nieto Prada, Aymeric Rousseau, ‘‘A Detailed
Vehicle Modeling & Simulation Study Quantifying
Energy Consumption and Cost Reduction of
Advanced Vehicle Technologies Through 2050,’’
Report to the U.S. Department of Energy, Contract
ANL/ESD–21/10, October 2021. See previous
reports and analysis: 2021. Available online:
https://vms.taps.anl.gov/research-highlights/u-sdoe-vto-hfto-r-d-benefits/.
506 Hunter, Chad, Michael Penev, Evan Reznicek,
Jason Lustbader, Alicia Birkby, and Chen Zhang.
‘‘Spatial and Temporal Analysis of the Total Cost
of Ownership for Class 8 Tractors and Class 4 Parcel
Delivery Trucks’’. National Renewable Energy Lab.
September 2021. Available online: https://
www.nrel.gov/docs/fy21osti/71796.pdf.
507 Ledna et al. ‘‘Decarbonizing Medium- &
Heavy-Duty On-Road Vehicles: Zero-Emission
Vehicles Cost Analysis’’. U.S. Department of
Energy, National Renewable Energy Laboratory.
March 2022. Available online: https://
www.nrel.gov/docs/fy22osti/82081.pdf.
508 Larsen, John et al. ‘‘Assessing the Climate and
Clean Energy Provisions in the Inflation Reduction
Act’’. Rhodium Group. August 12, 2022. Available
online: https://rhg.com/research/climate-cleanenergy-inflation-reduction-act/.
509 Heid, Bernd et al. ‘‘Five charts on hydrogen’s
role in a net-zero future’’. McKinsey Sustainability.
October 25, 2022. Available online: https://
www.mckinsey.com/capabilities/sustainability/our-
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estimate of average hydrogen
production costs in 2030 is closer to
$3.10 per kg, but their analysis did not
consider IRA impacts.510
According to the Hydrogen Council,
increasing the scale and rate of use of
hydrogen across sectors could
substantially reduce the costs of local
distribution. As trucking capacity
increases and the use, size, and density
of refueling stations increases,
equipment manufacturing costs could
decline. For example, they suggest that
2020 distribution costs of about $5–6
per kg could decline by approximately
80 percent to get to $1–1.50 per kg in
2030.511 A 2018 DOE document details
similar opportunities to reach $2 per kg
in distribution and dispensing costs. In
addition to learning and economies of
scale associated with scaled use, they
suggest that potential research and
development advancements related to
the efficiency and reliability of
components could help meet related
DOE price targets.512
As further explained in DRIA Chapter
2.5.3.1, for use in HD TRUCS, we
projected the future hydrogen prices
shown in Table II–18 for 2027–2030 and
beyond. These values are based on ANL
BEAN values and are in line with price
projections in DOE’s Liftoff Report that
consider the impacts of BIL and IRA.
We converted the $/kg estimates for
2025 and 2030 included in BEAN to
dollar per kg by using the conversion
factor of 1 gallon of diesel is equivalent
to 1.116 kg of hydrogen, based on its
lower heating value. We rounded up to
the nearest $0.50 increment given the
uncertainty of projections, and then
interpolated for 2027 to 2029. Prices for
2030 and beyond are held constant in
BEAN and in HD TRUCS.
insights/five-charts-on-hydrogens-role-in-a-net-zerofuture.
510 Zhou, Yuanrong, et al. ‘‘Current and future
cost of e-kerosene in the United States and Europe’’.
Working Paper 2022–14: The International Council
on Clean Transportation. March 2022. Available
online: https://theicct.org/wp-content/uploads/
2022/02/fuels-us-europe-current-future-costekerosene-us-europe-mar22.pdf.
511 Hydrogen Council. ‘‘Path to hydrogen
competitiveness: A cost perspective’’. January 20,
2020. Available online: https://
hydrogencouncil.com/wp-content/uploads/2020/
01/Path-to-Hydrogen-Competitiveness_Full-Study1.pdf.
512 Rustagi, Neha et al. Record 18003: ‘‘Current
Status of Hydrogen Delivery and Dispensing Costs
and Pathways to Future Cost Reductions’’. U.S.
Department of Energy. December 17, 2018.
Available online: https://www.hydrogen.energy.gov/
pdfs/18003_current_status_hydrogen_delivery_
dispensing_costs.pdf.
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[2021$]
$/kg H2 ....................................................................................................................................................
We request comment on our approach
and assessment of future fuel,
electricity, and hydrogen prices for the
transportation sector.
6. Payback
After assessing the suitability of the
technology and costs associated with
ZEVs, a payback calculation was
performed on each of the 101 HD
TRUCS vehicles for the BEV technology
and FCEV technology that we were
considering for the technology packages
for each use case for each MY in the MY
2027–2032 timeframe. The payback
period was calculated by determining
the number of years that it would take
for the annual operational savings of a
ZEV to offset the incremental upfront
purchase price of a BEV or FCEV (after
accounting for the IRA section 13502
battery tax credit and IRA section 13403
vehicle tax credit as described in DRIA
Chapters 2.4.3.1 and 2.4.3.5,
respectively) and charging infrastructure
costs (for BEVs) when compared to
purchasing a comparable ICE vehicle.
The ICE vehicle and ZEV costs
calculated include the retail price
equivalent (RPE) multiplier of 1.42 to
include both direct and indirect
manufacturing costs, as discussed
further in DRIA Chapter 3. The
operating costs include the diesel,
hydrogen or electricity costs, DEF costs,
and the maintenance and repair costs.
The payback results are shown in Table
2–75 and Table 2–76 for BEVs for MY
2027 and MY 2032, and in Table 2–77
for FCEVs for MY 2032 of DRIA Chapter
2.
F. Proposed Standards
Similar to the approach we used to
support the feasibility of the HD GHG
Phase 2 vehicle CO2 emission standards,
we developed technology packages that,
on average, would meet each of the
proposed standards for each regulatory
subcategory of vocational vehicles and
tractors after considering the various
factors described in this section,
including technology costs for
manufacturers and costs to purchasers.
We applied these technology packages
to nationwide production volumes to
support the proposed Phase 3 GHG
vehicle standards. The technology
packages utilize the averaging portion of
the longstanding ABT program, and we
project manufacturers would produce a
mix of HD vehicles that utilize ICEpowered vehicle technologies and ZEV
technologies, with specific adoption
rates for each regulatory subcategory of
vocational vehicles and tractors for each
MY. Note that we have analyzed a
technology pathway to support the
feasibility and appropriateness of each
proposed level of stringency for each
proposed standard, but manufacturers
would be able to use a combination of
HD engine or vehicle GHG-reducing
technologies, including zero-emission
and ICE technologies, to meet the
standards.
The proposed standards are shown in
Table II–19 and Table II–20 for
vocational vehicles and Table II–21and
Table II–22 for tractors. We request
comment and data on our proposal as
well as comment and data supporting
more or less stringent HD vehicle GHG
standards than those proposed, as
specified in Section II.H. We also
request comment on setting additional
new HD vehicle GHG standards in MYs
2033 through 2035 that are more
progressively stringent than the MY
2027
2028
2029
2030
and
beyond
6.10
5.40
4.70
4.00
2032 standards and that either continue
the approach and trajectory of the
proposed standards or utilize a different
approach and trajectory that we
solicited comment on in this proposal.
The approach we used to select the
proposed standards, described in this
Section II, does not specifically include
accounting for ZEV adoption rates that
would result from compliance with the
California ACT program. The approach
we used developed ZEV technology
adoption rates on a nationwide basis.
EPA granted the California ACT waiver
request on March 30, 2023, which did
not allow sufficient time for us to
consider an alternative approach for this
proposal. With the granting of the
California ACT waiver, we intend to
consider for the final rule how vehicles
sold to meet the ACT requirement in
California and other states that may
adopt it under CAA section 177 would
impact or be accounted for in the
standard setting approach described in
this Section II. For example, we may
adjust our reference case to reflect the
ZEV levels projected from ACT in
California and other states. We also may
consider increasing the technology
adoption rates in the technology
packages and correspondingly increase
the stringency of the proposed Phase 3
emission standards to account for the
incremental difference in the projected
ZEV adoption levels from the proposed
Phase 3 emission standards and the
adoption levels projected from ACT in
those states. We welcome comment on
how to consider this ACT in our
proposed approach or in other
approaches.
TABLE II–19—PROPOSED MY 2027 THROUGH 2032+ VOCATIONAL VEHICLE CO2 EMISSION STANDARDS
lotter on DSK11XQN23PROD with PROPOSALS2
[Grams/ton-mile]
CI light
heavy
Model year
Subcategory
2027 ....................................
Urban ................................................................
Multi-Purpose ...................................................
Regional ...........................................................
Urban ................................................................
Multi-Purpose ...................................................
Regional ...........................................................
Urban ................................................................
Multi-Purpose ...................................................
2028 ....................................
2029 ....................................
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294
257
218
275
238
199
255
218
CI medium
heavy
CI heavy
heavy
213
190
173
209
186
169
202
179
E:\FR\FM\27APP2.SGM
232
193
152
228
189
148
225
186
27APP2
SI light
heavy
340
299
246
321
280
227
301
260
SI medium
heavy
252
223
202
248
219
198
241
212
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE II–19—PROPOSED MY 2027 THROUGH 2032+ VOCATIONAL VEHICLE CO2 EMISSION STANDARDS—Continued
[Grams/ton-mile]
Model year
2030 ....................................
2031 ....................................
2032 and later .....................
CI light
heavy
Subcategory
Regional ...........................................................
Urban ................................................................
Multi-Purpose ...................................................
Regional ...........................................................
Urban ................................................................
Multi-Purpose ...................................................
Regional ...........................................................
Urban ................................................................
Multi-Purpose ...................................................
Regional ...........................................................
CI medium
heavy
179
238
201
162
219
182
143
179
142
103
CI heavy
heavy
162
195
172
155
188
165
148
176
153
136
SI light
heavy
145
200
161
120
193
154
113
177
138
97
SI medium
heavy
207
284
243
190
265
224
171
225
184
131
191
234
205
184
227
198
177
215
186
165
TABLE II–20—PROPOSED MY 2027 THROUGH 2032+ OPTIONAL CUSTOM CHASSIS VOCATIONAL VEHICLE CO2 EMISSION
STANDARDS
[Grams/ton-mile]
Optional custom chassis vehicle category
MY 2027
MY 2028
MY 2029
MY 2030
MY 2031
MY 2032
and later
190
286
205
253
259
226
316
319
182
269
205
241
250
226
316
319
176
255
205
232
240
226
316
319
168
237
185
221
231
226
316
319
163
220
164
212
224
226
316
319
149
189
154
191
205
226
316
319
School Bus ...............................................................................................
Other Bus .................................................................................................
Coach Bus ...............................................................................................
Refuse Hauler ..........................................................................................
Concrete Mixer .........................................................................................
Motor home ..............................................................................................
Mixed-use vehicle ....................................................................................
Emergency vehicle ...................................................................................
TABLE II–21—PROPOSED MY 2027 THROUGH MY 2032+ TRACTOR CO2 EMISSION STANDARDS
[Grams/ton-mile]
Roof height
2027 ..............................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
Low Roof ..........................................................................
Mid Roof ...........................................................................
High Roof ..........................................................................
2028 ..............................................
2029 ..............................................
2030 ..............................................
2031 ..............................................
2032 and Later .............................
TABLE II–22—PROPOSED MY 2027
THROUGH MY 2032+ HEAVY-HAUL
TRACTOR CO2 EMISSION STANDARDS
lotter on DSK11XQN23PROD with PROPOSALS2
Class 7 all
cab styles
Model year
2027
2028
2029
2030
[Grams/ton-mile]
CO2 emission
standards
......................................
......................................
......................................
......................................
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48.3
48.3
43.0
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66.1
70.2
68.1
64.6
68.6
66.6
62.4
66.3
64.3
58.7
62.4
60.6
51.4
54.6
53.0
48.4
51.5
50.0
Class 8
sleeper cab
64.1
69.6
64.3
64.1
69.6
64.3
64.1
69.6
64.3
57.7
62.6
57.9
51.3
55.7
51.4
48.1
52.2
48.2
We are proposing new CO2 emission
TABLE II–22—PROPOSED MY 2027
THROUGH MY 2032+ HEAVY-HAUL standards using the regulatory
TRACTOR CO2 EMISSION STAND- subcategories we adopted in HD GHG
Phase 2, as discussed in Section II.C. As
ARDS—Continued
[Grams/ton-mile]
Model year
86.6
93.1
90.0
84.7
91.0
88.0
81.8
87.9
85.0
77.0
82.7
80.0
67.3
72.4
70.0
63.5
68.2
66.0
Class 8
day cab
CO2 emission
standards
Model year
2031 ......................................
2032 and Later .....................
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42.5
41.1
we discuss later in this subsection, the
fraction of ZEVs and fraction of ICE
vehicles in the technology packages
varies across the 101 HD TRUCS vehicle
types and thus in the regulatory
subcategories. We recognize there may
be different regulatory structures that
could be used to reduce GHG emissions
from the HD vehicles.
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During the development of this
proposed action, EPA has heard
requests from several stakeholders that
EPA consider establishing CO2
standards for specific vehicle
applications (e.g., school buses, urban
buses, pick-up and delivery vehicles,
drayage trucks, etc.), as a complement to
CO2 emission standards that utilize the
existing HD GHG Phase 2 program
structure. There are several reasons
stakeholders have explained for asking
EPA to consider this approach. One
reason is to target specific applications
which may be the most suited for more
stringent CO2 standards at a more rapid
pace than a broader regulatory
subcategory. For example, a pick-up and
delivery application may be more
suitable for faster adoption of BEV
technology than the broader subcategory
of medium heavy-duty vocational
vehicles. This approach could further
support the industry and marketplace
focusing resources on specific
applications in the near term in
response to more stringent EPA
standards, rather than potentially
spreading those resources across a
broader range of products. Another
reason some stakeholders suggested
EPA consider an application-specific
approach would be to accelerate the
deployment of ZEVs that are
concentrated in frontline communities
to reduce air pollution more quickly in
those communities.
We note the current HD GHG Phase 2
program structure includes standards at
broad vehicle subcategory levels (e.g.,
light heavy-duty vocational vehicles,
medium heavy-duty vocational vehicles,
etc.) as well as optional CO2 emission
standards for seven specific custom
chassis applications (e.g., emergency
vehicles, motor homes, cement mixers,
school buses). It is important to note the
suggestions from stakeholders for EPA
to establish application-specific
standards for some heavy-duty vehicles
to accelerate emission reductions in the
Phase 3 program are much different
than the reasons EPA established the
HD GHG Phase 2 optional custom
chassis standards. EPA established the
optional custom chassis program for a
number of reasons, including: a
recognition there are manufacturers who
produce specialized heavy-duty
vocational vehicles where some of the
technologies EPA used for the primary
program standards would be unsuited
for use, concern that the primary
program drive cycles are either
unrepresentative or unsuitable for
certain specialized heavy-duty
vocational vehicles, concern that some
manufacturers of these specialized
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vocational vehicles have limited
product offerings such that the primary
program’s emissions averaging is not of
practical value as a compliance
flexibility, and also concern regarding
the appropriateness of the primary
program’s vocational vehicle standards
as applied to certain specialized/custom
vocational vehicles (See 81 FR 73531
and 81 FR 73686, October 25, 2016).
Potential challenges EPA recognizes
with an application-specific, more
stringent CO2 standard approach
include determining what criteria EPA
would use to establish applicationspecific standards, how such standards
would fit in the overall Phase 3 program
structure, and the difficulty in defining
some applications. For example, a
drayage truck in general can be any
Class 8 tractor (both sleeper cab and day
cab) that is used to move shipping
containers to and from ports from other
locations, including rail yards, shipping
terminals, or other destinations. A
drayage tractor is not a unique
application nor do these tractors contain
unique design features to differentiate
them from other tractors—nearly any
tractor can be used for drayage
operation. Nevertheless, in
consideration of potentially targeting
specific applications most suited for
more stringent CO2 standards at a more
rapid pace than a broader regulatory
subcategory, EPA requests comment on
a standards structure for Phase 3 which
would establish unique, mandatory,
application-specific standards for some
subset of heavy-duty vehicle
applications. EPA requests comment on
what data, what program structure, what
applications, and what criteria EPA
should consider for designing
application-specific standards. EPA also
requests comment on how the
application-specific CO2 standards
would interact with the broader Phase 3
program structure EPA has included in
this proposal, including the CO2
emissions averaging, banking, and
trading program. For example, if EPA
were to separate these applications and
apply more stringent standards, EPA
requests comment on whether emission
credits should be allowed to be averaged
across the primary Phase 3 program and
the application specific standards, and
if yes, what limits if any should apply
to those standards. Under this example,
EPA may consider that allowing credits
to flow into an application-specific
category could undermine the reasons
for establishing such a category (to
accelerate the application of technology
and accelerate emission reductions),
while allowing credits generated within
an application specific category to flow
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25991
into the primary program may provide
incentive for even greater reductions
from the application-specific category.
To support that the proposed
standards are achievable through the
technology pathway projected in the
technology packages, the proposed CO2
standards for each subcategory were
determined in two steps giving
consideration to costs, lead time, and
other factors, as described in this
section and Section II.G. First, we
determined the technology packages
that include ZEVs and ICE vehicles with
GHG-reducing technologies for each of
the vocational vehicle and tractor
subcategories as discussed in Section
II.F.1. Then we determined the numeric
level of the proposed standards as
discussed in Sections II.F.2 and II.F.3.
1. Technology Adoption Rates in the
Technology Packages
We based the proposed standards on
technology packages that include both
ICE vehicle and ZEV technologies. In
our analysis, the ICE vehicles include a
suite of technologies that represent a
vehicle that meets the existing MY 2027
Phase 2 CO2 emission standards. These
technologies exist today and continue to
evolve to improve the efficiency of the
engine, transmission, drivetrain,
aerodynamics, and tire rolling resistance
in HD vehicles and therefore reduce
their CO2 emissions. There also may be
opportunity for further adoption of
these Phase 2 ICE technologies beyond
the adoption rates used in the HD GHG
Phase 2 rule. In addition, the heavyduty industry continues to develop CO2reducing technologies such as hybrid
powertrains and H2–ICE powered
vehicles.
In the transportation sector, new
technology adoption rates often follow
an S-shape. As discussed in the
preamble to the HD GHG Phase 2 final
rule, the adoption rates for a specific
technology are initially slow, followed
by a rapid adoption period, then
leveling off as the market saturates, and
not always at 100 percent.513 For this
proposal, we developed a method to
project adoption rates of BEVs and
FCEVs in the HD vehicle market after
considering methods in the literature.
Our adoption function, and methods
considered and explored in the
formulation of the method used in this
proposal, are described in DRIA Chapter
2.7.9. As stated there, given information
currently available and our experience
with the HD vehicle industry, when
purchasing a new vehicle, we believe
that the payback period is the most
513 81
E:\FR\FM\27APP2.SGM
FR 73558, Oct 25, 2016.
27APP2
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
relevant metric to determine adoption
rates in the HD vehicle industry.
The ZEV adoption rate schedule,
shown in Table II–23, shows that when
the payback is immediate, we project up
to 80 percent of a manufacturer’s fleet
to be ZEV, with diminishing adoption as
the payback period increases.514 The
schedule was used to assign ZEV
adoption rates to each of the 101 HD
TRUCS vehicle types based on its
payback period for MYs 2027 and 2032.
We phased in the proposed standards
gradually between MYs 2027 and 2032
to address potential lead time concerns
associated with feasibility for
manufacturers to deploy ZEV
technologies that include consideration
of time necessary to ramp up battery
production, including the need to
increase the availability of critical raw
materials and expand battery
production facilities, as discussed in
Section II.D.2.ii. We also phased in the
proposed standards recognizing that it
will take time for installation of EVSE
by the BEV purchasers. We project BEV
adoption as early as MY 2027, and we
project adoption of FCEVs in the
technology packages starting in MY
2030 for select applications that travel
longer distances and/or carry heavier
loads (i.e., coach buses, heavy-haul
tractors, sleeper cab tractors, and day
cab tractors). There has been only
limited development of FCEVs for the
HD market to date, therefore our
assessment is that it would be
appropriate to provide manufacturers
with additional lead time to design,
develop, and manufacture FCEV
models, but that it would be feasible by
MY 2030. With substantial Federal
investment in low-GHG hydrogen
production (see DRIA Chapter 1.8.2), we
anticipate that the price of hydrogen
fuel could drop enough by 2030 to make
HD FCEVs cost-competitive with
comparable ICE vehicles for some duty
cycles. We also note that the hydrogen
infrastructure is expected to need
additional time to further develop, as
discussed in greater detail in DRIA
Chapter 1.8, but we expect the refueling
needs can be met by MY 2030. We also
recognize the impact regulations can
have on technology and recharging/
refueling infrastructure development
and deployment. Thus we request
comment and data on our proposed
adoption rate, including schedule and
methods. We also request comment and
data to support other adoption rate
schedules; see also Section II.H.
TABLE II–23—ADOPTION RATE
SCHEDULE IN HD TRUCS
Payback
(yr)
MY 2027
adoption
rates for BEVs
(%)
MY 2032
adoption
rates for BEVs
and FCEVs
(%)
80
55
32
18
13
10
5
0
80
55
45
35
25
20
15
5
<0 ..............
0–1 ............
1–2 ............
2–4 ............
4–7 ............
7–10 ..........
10–15 ........
>15 ............
We applied an additional constraint
within HD TRUCS that limited the
maximum penetration rate to 80 percent
for any given vehicle type. This
conservative limit was developed after
consideration of the actual needs of the
purchasers related to two primary areas
of our analysis. First, this 80 percent
volume limit takes into account that we
sized the batteries, power electronics, emotors, and infrastructure for each
vehicle type based on the 90th
percentile of the average VMT. We
utilize this technical assessment
approach because we do not expect
heavy-duty OEMs to design ZEV models
for the 100th percentile VMT daily use
case for vehicle applications, as this
could significantly increase the ZEV
powertrain size, weight, and costs for a
ZEV application for all users, when only
a relatively small part of the market
would need such capabilities.
Therefore, the ZEVs we analyzed and
have used for the feasibility and cost
projections for this proposal are likely
not appropriate for 100 percent of the
vehicle applications in the real-world.
Our second consideration for including
an 80 percent volume limit for ZEVs is
that we recognize there is a wide variety
of real-world operation even for the
same type of vehicle. For example, some
owners may not have the ability to
install charging infrastructure at their
facility, or some vehicles may need to be
operational 24 hours a day. Under our
proposed standards, ICE vehicles would
continue to be available to address these
specific vehicle applications. We
request comment, data, and analysis on
both of these considerations and our use
of an 80 percent volume limit. Our
request for comment includes a request
for data to inform an assessment of the
distribution of daily miles traveled and
the distribution of the number of hours
available daily to charge for each of the
vehicle types that we could use to
update a constraint like this in the final
rulemaking analysis.
After the technology assessment, as
described in Section II.D.4 and DRIA
Chapter 2, and payback analysis, as
described in Section II.E.6 and DRIA
Chapter 2.8.2, EPA determined the ICE
vehicle and ZEV adoption rates for each
regulatory subcategory. We first
determined the ZEV adoption rates
projected for each of the 101 vehicle
types for MYs 2027 and 2032, which
can be found in DRIA Chapter 2.8.3.1.
We then aggregated the projected ZEV
adoption rates for the specific vehicle
types into their respective regulatory
subcategories relative to the vehicle’s
sales weighting, as described in DRIA
Chapter 2.9.1. The resulting projected
ZEV adoption rates (shown in Table II–
24) and projected ICE vehicle adoption
rates that achieve a level of CO2
emissions performance equal to the
existing MY 2027 emission standards
(shown in Table II–21) were built into
our technology packages. We request
comment and data on our projected
adoption rates in the technology
packages as well as data supporting
higher or lower adoption rates than the
projected levels. We also request
comment on projecting adoption rates
out through MY 2035.
TABLE II–24—PROJECTED ZEV ADOPTION RATES FOR MYS 2027–2032 TECHNOLOGY PACKAGES
MY 2027
(%)
lotter on DSK11XQN23PROD with PROPOSALS2
Regulatory subcategory
LHD Vocational ................................................................
MHD Vocational ...............................................................
HHD Vocational ...............................................................
MHD All Cab and HHD Day Cab Tractors ......................
Sleeper Cab Tractors .......................................................
Heavy Haul Tractors ........................................................
514 See DRIA Chapter 2.7.9 for additional
information on the development of the adoption
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MY 2028
(%)
22
19
16
10
0
0
MY 2029
(%)
28
21
18
12
0
0
MY 2030
(%)
34
24
19
15
0
0
39
27
30
20
10
11
rate schedule for the technology packages for the
proposed standards.
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27APP2
MY 2031
(%)
45
30
33
30
20
12
MY 2032
(%)
57
35
40
34
25
15
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TABLE II–24—PROJECTED ZEV ADOPTION RATES FOR MYS 2027–2032 TECHNOLOGY PACKAGES—Continued
MY 2027
(%)
Regulatory subcategory
Optional
Optional
Optional
Optional
Optional
Optional
Optional
Optional
Custom
Custom
Custom
Custom
Custom
Custom
Custom
Custom
Chassis:
Chassis:
Chassis:
Chassis:
Chassis:
Chassis:
Chassis:
Chassis:
School Bus ............................
Other Bus ..............................
Coach Bus 515 .......................
Refuse Hauler .......................
Concrete Mixer .....................
Emergency Vehicles .............
Recreational Vehicles ...........
Mixed Use .............................
MY 2028
(%)
30
0
0
15
18
0
0
0
MY 2029
(%)
33
6
0
19
21
0
0
0
MY 2030
(%)
35
11
0
22
24
0
0
0
MY 2031
(%)
38
17
10
26
27
0
0
0
40
23
20
29
29
0
0
0
MY 2032
(%)
45
34
25
36
35
0
0
0
TABLE II–25—PROJECTED ADOPTION RATES FOR MYS 2027–2032 ICE VEHICLES WITH CO2-REDUCING TECHNOLOGIES
IN THE TECHNOLOGY PACKAGES
MY 2027
(%)
Regulatory subcategory
LHD Vocational ................................................................
MHD Vocational ...............................................................
HHD Vocational ...............................................................
MHD All Cab and HHD Day Cab Tractors ......................
Sleeper Cab Tractors .......................................................
Heavy Haul Tractors ........................................................
Optional Custom Chassis: School Bus ............................
Optional Custom Chassis: Other Bus ..............................
Optional Custom Chassis: Coach Bus 516 .......................
Optional Custom Chassis: Refuse Hauler .......................
Optional Custom Chassis: Concrete Mixer .....................
Optional Custom Chassis: Emergency Vehicles .............
Optional Custom Chassis: Recreational Vehicles ...........
Optional Custom Chassis: Mixed Use .............................
2. Calculation of the Proposed Tractor
Standards
The proposed CO2 emission standards
for the tractor subcategories are
calculated by determining the CO2
emissions from a technology package
that consists of both ICE-powered
vehicles and ZEVs. The projected
fraction of ZEVs that emit zero grams
CO2/ton-mile at the tailpipe are shown
in Table II–24. The remaining fraction of
MY 2028
(%)
78
81
84
90
100
100
70
100
100
85
82
100
100
100
MY 2029
(%)
72
79
82
88
100
100
67
94
100
81
79
100
100
100
MY 2030
(%)
66
76
81
85
100
100
65
89
100
78
76
100
100
100
vehicles in the technology package are
ICE-powered vehicles that include the
technologies listed in Table II–1
(reflecting the GEM inputs for the
individual technologies that make up
the technology packages that meets the
existing MY 2027 CO2 tractor emission
standards). Thus, in the technology
packages, the ICE-powered vehicles
emit at the applicable existing MY 2027
CO2 emission standards, as shown in
MY 2031
(%)
61
73
70
80
90
89
62
83
90
74
73
100
100
100
55
70
67
70
80
88
60
77
80
71
71
100
100
100
MY 2032
(%)
43
65
60
66
75
85
55
66
75
64
65
100
100
100
Table II–26. We request comment on
ICE vehicle technologies that could
support more stringent standards than
those proposed.
The proposed CO2 emission standards
for each model year are calculated by
multiplying the fraction of ICE-powered
vehicles in each technology package by
the applicable existing MY 2027 CO2
emission standards. The proposed
standards are presented in Section II.F.
TABLE II–26—EXISTING MY 2027 AND LATER TRACTOR CO2 EMISSION STANDARDS
[Grams/ton-mile]
Class 7
All cab styles
Low Roof ..........................................................................................................
Mid Roof ..........................................................................................................
High Roof .........................................................................................................
lotter on DSK11XQN23PROD with PROPOSALS2
3. Calculation of the Proposed
Standards for Vocational Vehicles
96.2
103.4
100.0
The proposed CO2 emission standards
for the vocational vehicles regulatory
subcategories are calculated by
determining the CO2 emissions from a
technology package that consists of both
ICE-powered vehicles and ZEVs. The
projected fraction of ZEVs that emit zero
grams CO2/ton-mile at the tailpipe are
shown in Table II–24. The remaining
fraction of vehicles in the technology
package are ICE-powered vehicles that
include the technologies listed in Table
II–2 (reflecting the GEM inputs for the
515 We are proposing to use the same adoption
rates projected for sleeper cab tractors, which are
also projected to be FCEVs in MYs 2030–2032.
516 We are proposing to use the same adoption
rates projected for sleeper cab tractors, which are
also projected to be FCEVs in MYs 2030–2032.
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Class 8
Day cab
73.4
78.0
75.7
Class 8
Sleeper cab
64.1
69.6
64.3
Heavy-haul
48.3
individual technologies that make up
the technology packages that meets the
existing MY 2027 CO2 vocational
vehicles emission standards). We
request comment on ICE vehicle
technologies that could support more
stringent standards than those proposed.
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As discussed in Section II.C,
vocational vehicle CO2 emission
standards are subdivided by weight
class, SI-powered or CI-powered
vehicles, and by operation. There are a
total of 15 different vocational vehicle
standards in the primary program for
each model year, in addition to the
optional custom chassis standards. The
existing MY 2027 vocational vehicle
emission standards are shown in Table
II–27 (which, like tractors, are what the
ICE-powered vehicles emit at in the
proposed technology packages). The HD
GHG Phase 2 structure enables the
technologies that perform best during
urban driving or the technologies that
perform best at highway driving to each
be properly recognized over the
appropriate drive cycles. The HD GHG
Phase 2 structure was developed
recognizing that there is not a single
package of engine, transmission, and
driveline technologies that is suitable
for all ICE-powered vocational vehicle
applications. In this proposal, we are
continuing the current approach of
deeming tailpipe emissions of regulated
GHG pollutants (including CO2) to be
zero from electric vehicles and
hydrogen fuel cell vehicles.517
Therefore, the need to recognize the
variety in vocational vehicle CO2
emissions may no longer be necessary
for ZEVs because ZEVs are deemed to
have zero CO2 emissions. Similarly, the
existing SI and CI distinction within
vocational vehicle regulatory
subcategory structure is not optimal for
vocational ZEVs because they cannot be
technically described as either SIpowered or CI-powered.
TABLE II–27—EXISTING MY 2027 AND LATER VOCATIONAL VEHICLE CO2 EMISSION STANDARDS
[Grams/ton-mile]
CI light
heavy
lotter on DSK11XQN23PROD with PROPOSALS2
Urban .......................................................................................................
Multi-Purpose ...........................................................................................
Regional ...................................................................................................
CI medium
heavy
367
330
291
CI heavy
heavy
258
235
218
269
230
189
Optional Custom Chassis: School Bus ....................................................
271
Optional Custom Chassis: Other Bus ......................................................
286
Optional Custom Chassis: Coach Bus ....................................................
205
Optional Custom Chassis: Refuse Hauler ...............................................
298
Optional Custom Chassis: Concrete Mixer .............................................
316
Optional Custom Chassis: Motor Home ..................................................
226
Optional Custom Chassis: Mixed-Use Vehicle ........................................
316
Optional Custom Chassis: Emergency Vehicle .......................................
319
SI light
heavy
413
372
319
SI medium
heavy
297
268
247
Also discussed in Section II.C, the
vehicle ABT program allows credits to
exchange with all vehicles within a
weight class. ABT CO2 emission credits
are determined using the equation in 40
CFR 1037.705. The credits are
calculated based on the difference
between the applicable standard for the
vehicle and the vehicle’s family
emission limit multiplied by the
vehicle’s regulatory payload and useful
life. For example, as shown in Table II–
28, using the existing light heavy-duty
vocational vehicle MY 2027 CO2
emission standards, the amount of
credit a ZEV would earn varies between
124 Mg and 177 Mg, depending on the
regulatory subcategory it would be
certified to. We recognize that in many
cases it may not be clear to the
manufacturer whether to certify the
vocational ZEV to a SI or CI regulatory
subcategory, i.e. for the manufacturer to
know whether the ZEV was purchased
in lieu of a comparable CI-powered or
SI-powered vehicle. Furthermore, as just
discussed, because ZEVs have zero
CO2vehicle exhaust emissions the
programmatic basis for requiring the
manufacturer to differentiate the ZEVs
by operation to appropriately account
for the variety of driveline
configurations would not exist, though
the amount of credit the ZEV would
earn would depend on the regulatory
subcategory selected for certification. In
short, we recognize the difficulties in,
and consequences of, determining
which of the regulatory subcategories to
which a ZEV should be certified under
the existing HD GHG Phase 2 emission
standards’ structure for vocational
vehicles. To address this concern, we
are proposing a two-step approach.
First, we propose to revise the ABT
credit calculation regulations; this
change would begin in MY 2027.
Second, we derived the proposed MY
2027 and later standards accounting for
the proposed changes to the ABT credit
calculations. Note that BEVs, FCEVs,
and H2–ICE vehicles would still be able
to be certified to the vocational vehicle
urban, multi-purpose, or regional
standards or to the applicable optional
custom chassis standards.
517 See 40 CFR 1037.150(f) for our proposed
interim provision that CO2 emissions would be
deemed to be zero, with no CO2-related testing, for
BEVs, FCEVs, and vehicles powered by H2–ICE that
solely use hydrogen fuel.
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TABLE II—28 EXAMPLE CO2 EMISSION CREDIT CALCULATIONS FOR LIGHT HEAVY-DUTY (LHD) BEV/FCEVS BY
REGULATORY SUBCATEGORY BASED OFF THE EXISTING MY 2027 STANDARDS
SI LHD urban
Existing MY 2027 Standard (gCO2/tonmile) ......................................................
CO2 credit per BEV or FCEV (Mg) ..........
SI LHD
multi-purpose
413
177
EPA proposes to revise the definition
of the variable ‘‘Std’’ in 40 CFR
1037.705 to establish a common
reference emission standard for
vocational vehicles with tailpipe CO2
emissions deemed to be zero (i.e., BEVs,
FCEVs, and vehicles with engines
fueled with pure hydrogen).518
Beginning in MY 2027, manufacturers
would use the applicable CompressionIgnition Multi-Purpose (CI MP) standard
for their vehicle’s corresponding weight
class when calculating ABT emission
credits for vocational vehicles with
tailpipe CO2 emissions deemed to be
zero.519 We selected the CI MP standard
because it is the regulatory subcategory
with the highest production volume in
MY 2021. We also recognize a need to
balance two different timing
considerations concerning the potential
impacts of this proposed change. First,
prior to the effective date of this
proposed change, there is a potential for
manufacturers producing BEVs, FCEVs,
and certain H2–ICE vehicles to generate
larger credits than they would after this
change, depending on the vocational
vehicle subcategory to which a vehicle
is certified. Second, we recognize that
manufacturers develop their emissions
compliance plans several years in
advance to manage their R&D and
manufacturing investments. After taking
these into account, we propose that this
regulation revision become effective
beginning in MY 2027 to provide
manufacturers with sufficient time to
SI LHD
regional
372
159
CI LHD urban
319
136
adjust their production plans, if
necessary. We request comment on this
proposed revision.
Taking the proposed change to the
ZEV ABT credit calculation into
account, if we calculated the proposed
standards by multiplying the fraction of
ICE-powered vehicles in the technology
package (by model year) by the
applicable existing MY 2027 CO2
emission standards, like we did for
tractors, then this would lead to a
scenario where it would take different
levels of ZEV adoption rates to meet the
proposed standards in each regulatory
subcategory than we included in our
assessment. Therefore, we used an
alternate approach that maintains the
same level of ZEV adoption rates in
each regulatory subcategory within a
weight class, taking the proposed
change to the ZEV ABT credit
calculation into account. The equation
for calculating the proposed MY 2032
vocational vehicle standards is shown
in Equation II–1. This equation is used
to calculate the proposed standards for
each vocational vehicle regulatory
subcategory, using the existing MY 2027
CI MP standard for each corresponding
weight class (LH, MH, HH). Equation II–
2 through Equation II–4 show how the
proposed Equation II–1 would be used
for each regulatory subcategory for an
example model year (MY 2032). The
existing MY 2027 standards can be
found in Table II–27, and the projected
ZEV adoption rates by model year are in
367
157
CI LHD
multi-purpose
CI LHD
regional
330
141
291
124
Table II–24. The same equations were
used for the proposed MY 2027 through
2031 standards but replacing the MY
2032 Standards and ZEV adoption rates
with values for the specific model year.
The results of the calculations for the
MY 2032 LHD vocational vehicles are
shown in Table II–29. The calculations
for the other model years and vocational
vehicle subcategories are shown in
DRIA Chapter 2.9.
Equation II–1: Proposed Vocational
Vehicle Standard Calculation
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat¥(MY 2027 Existing CI
MP StdRegSubcat * MY 2032 ZEV%)
Equation II–2: Proposed Vocational
Vehicle Standard Calculation Light
Heavy-Duty Regulatory Subcategories
for MY 2032
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat¥(330 g/mi * 57%)
Equation II–3: Proposed Vocational
Vehicle Standard Calculation Medium
Heavy-Duty Regulatory Subcategories
for MY 2032
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat¥(235 g/mi * 35%)
Equation II–4: Proposed Vocational
Vehicle Standard Calculation Heavy
Heavy-Duty Regulatory Subcategories
for MY 2032
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat ¥ (230 g/mi * 40%)
TABLE II–29—CALCULATIONS OF THE PROPOSED MY 2032 CO2 EMISSION STANDARDS FOR LIGHT HEAVY-DUTY (LHD)
VOCATIONAL VEHICLES
lotter on DSK11XQN23PROD with PROPOSALS2
SI LHD urban
Existing MY 2027 Standard (gCO2/tonmile) ......................................................
ZEV Adoption Rate in Technology Package ........................................................
Proposed CO2 Emission Standard
(gCO2/ton-mile) ....................................
SI LHD
multi-purpose
SI LHD
regional
319
367
330
291
57%
57%
57%
57%
57%
57%
225
184
131
179
142
103
518 See the proposed updates to 40 CFR
1037.150(f).
519 See 40 CFR 1037.105 for the compressionignition multi-purpose CO2 standards.
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CI LHD
regional
372
subcategories are shown in DRIA
Chapter 2.9. We welcome comment on
23:53 Apr 26, 2023
CI LHD
multi-purpose
413
The calculations for the other model
years and vocational vehicle
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this approach to taking the proposed
change to the ZEV ABT credit
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calculation into account in setting
vocational vehicle standards. We also
request comment alternatively on using
the same approach for vocational
vehicles as we are proposing for tractors
(see Section II.F.2).
After considering the potential
concerns with ZEVs fitting into the
existing HD GHG Phase 2 vocational
vehicle regulatory subcategories
structure, we are proposing to maintain
the existing HD GHG Phase 2 vocational
vehicle regulatory subcategories with
the proposed changes noted in this
section. We request comment on
possible alternative vocational vehicle
regulatory subcategory structures, such
as reducing the number of vocational
vehicle subcategories to only include
the Multi-Purpose standards in each
weight class, and/or maintaining Urban,
Multipurpose, and Regional but
combining SI and CI into a standard for
each weight class.
The HD GHG Phase 2 program
includes optional custom chassis
emission standards for eight specific
vehicle types. Those vehicle types may
either meet the primary vocational
vehicle program standards or, at the
vehicle manufacturer’s option, they may
comply with these optional standards.
The existing optional custom chassis
standards are numerically less stringent
than the primary HD GHG Phase 2
vocational vehicle standards, but the
ABT program is more restrictive for
vehicles certified to these optional
standards. Banking and trading of
credits is not permitted, with the
exception that small businesses that
may use traded credits to comply.
Averaging is only allowed within each
subcategory for vehicles certified to
these optional standards. If a
manufacturer wishes to generate
tradeable credits from the production of
these vehicles, they may certify them to
the primary vocational vehicle
standards.
In this action, we are proposing to
establish more stringent standards for
several, but not all, of these optional
custom chassis subcategories. We are
proposing revised MY 2027 emission
standards and new MY 2028 through
MY 2032 and later emission standards
for the school bus, other bus, coach bus,
refuse hauler, and concrete mixer
optional custom chassis regulatory
subcategories. We are not proposing any
changes to the existing ABT program
restrictions for the optional custom
chassis regulatory subcategories.
Because vehicles certified to the
optional custom chassis standards
would continue to have restricted credit
use and can only be used for averaging
within a specific custom chassis
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regulatory subcategory, we do not have
the same potential credit concern as we
do for the primary vocational vehicle
standards. Therefore, we determined the
proposed optional custom chassis
emission standards by multiplying the
fraction of ICE-powered vehicles in the
technology package (by model year) by
the applicable existing MY 2027 CO2
emission standards, like we did for
determining the proposed tractor
emission standards.
We are not proposing new standards
for motor homes certified to the optional
custom chassis regulatory subcategory
because of the projected impact of the
weight of batteries in BEVs in the MYs
2027–2032, as described in DRIA
Chapter 2.8.1. Furthermore, we also are
not proposing new standards for
emergency vehicles certified to the
optional custom chassis regulatory
subcategory due to our assessment that
these vehicles have unpredictable
operational requirements and may have
limited access to recharging facilities
while handling emergency situations in
the MYs 2027–2032 timeframe. Finally,
we are not proposing new standards for
mixed-use vehicle optional custom
chassis regulatory subcategory because
these vehicles are designed to work
inherently in an off-road environment
(such as hazardous material equipment
or off-road drill equipment) or be
designed to operate at low speeds such
that it is unsuitable for normal highway
operation and therefore may have
limited access to on-site depot or public
charging facilities in the MYs 2027–
2032 timeframe.520 We do not have
concerns that manufacturers could
inappropriately circumvent the
proposed vocational vehicle standards
or proposed optional custom chassis
standards because vocational vehicles
are built to serve a purpose. For
example, a manufacturer cannot certify
a box truck to the emergency vehicle
custom chassis standards. We request
comment on specific considerations and
impacts the proposed standards would
have on vehicles certified to these
optional custom chassis standards. We
also request comment and data
regarding the potential for more
stringent GHG standards for the motor
homes, emergency vehicles, or mixeduse vehicles optional custom chassis
regulatory subcategories in this time
frame.
520 Mixed-use vehicles must meet the criteria as
described in 40 CFR 1037.105(h)(1), 1037.631(a)(1),
and 1037.631(a)(2).
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4. Summary of Costs To Meet the
Proposed Emission Standards
We based the proposed standards on
technology packages that include both
ICE vehicle and ZEV technologies. In
our analysis, the ICE vehicles include a
suite of technologies that represent a
vehicle that meets the existing MY 2027
Phase 2 CO2 emission standards. We
accounted for these technology costs as
part of the HD GHG Phase 2 final rule.
Therefore, our technology costs for the
ICE vehicles are considered to be $0
because we did not add additional CO2reducing technologies to the ICE
vehicles beyond those in the baseline
vehicle. The incremental cost of a
heavy-duty ZEV is the marginal cost of
ZEV powertrain components compared
to ICE powertrain components on a
comparable ICE vehicle. This includes
the removal of the associated costs of
ICE-specific components from the
baseline vehicle and the addition of the
ZEV components and associated costs.
DRIA Chapter 2.3.2 and 2.4.3 includes
the ICE powertrain and BEV powertrain
cost estimates for each of the 101 HD
vehicle types. DRIA Chapter 2.5.2
includes the FCEV powertrain cost
projections for the coach buses, heavyhaul tractors, sleeper cab tractors, and
day cab tractors.
i. Manufacturer Costs
Table II–30 and Table II–31 show the
ZEV technology costs for manufacturers
relative to the reference case described
in Section V.A.1, including the direct
manufacturing costs that reflect learning
effects, the indirect costs, and the IRA
section 13502 Advanced Manufacturing
Production Credit, on average
aggregated by regulatory group for MYs
2027 and 2032, respectively.521 The
incremental ZEV adoption rate reflects
the difference between the ZEV
adoption rates in the technology
packages that support our proposed
standards and the reference case. As
shown in Table II–30 and Table II–31,
we project that some vocational vehicle
types will achieve technology cost
parity between comparable ICE vehicles
and ZEVs for manufacturers by MY
2032. These vehicles in our analysis
include school buses and single unit
trucks (which include vehicles such as
delivery trucks). Our analysis is
consistent with other studies. For
example, an EDF/Roush study found
that by MY 2027, BEV transit buses,
school buses, delivery vans, and refuse
haulers would each cost less upfront
521 Indirect costs are described in detail in
Section IV.B.2.
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than a comparable ICE vehicle.522 ICCT
similarly found that ‘‘although zeroemission trucks are more expensive in
the near-term than their diesel
equivalents, electric trucks will be less
expensive than diesel in the 2025–2030
time frame, due to declining costs of
batteries and electric motors as well as
increasing diesel truck costs due to
emission standards compliance.’’ 523
These studies were developed prior to
passage of the IRA, and therefore we
would expect the cost comparisons to be
even more favorable after considering
the IRA provisions. For example, the
Rocky Mountain Institute found that
25997
because of the IRA, the TCO of electric
trucks will be lower than the TCO of
comparable diesel trucks about five
years faster than without the IRA. They
expect cost parity as soon as 2023 for
urban and regional duty cycles that
travel up to 250 miles and 2027 for longhauls that travel over 250 miles.524
TABLE II–30—MANUFACTURER COSTS TO MEET THE PROPOSED MY 2027 STANDARDS RELATIVE TO THE REFERENCE
CASE
[2021$]
Incremental
ZEV adoption
rate in
technology
package
(%)
Regulatory group
LHD Vocational ............................................................................................................................
MHD Vocational ...........................................................................................................................
HHD Vocational ...........................................................................................................................
Day Cab Tractors ........................................................................................................................
Sleeper Cab Tractors ..................................................................................................................
18
15
12
8
0
Per-ZEV
manufacturer
RPE on
average
Fleet-average
per-vehicle
manufacturer
RPE
$1,750
15,816
¥505
64,121
N/A
$323
2,411
¥62
5,187
0
TABLE II–31—MANUFACTURER COSTS TO MEET THE PROPOSED MY 2032 STANDARDS RELATIVE TO THE REFERENCE
CASE
[2021$]
Incremental
ZEV adoption
rate in
technology
package
(%)
Regulatory group
LHD Vocational ............................................................................................................................
MHD Vocational ...........................................................................................................................
HHD Vocational ...........................................................................................................................
Day Cab Tractors ........................................................................................................................
Sleeper Cab Tractors ..................................................................................................................
i. Purchaser Costs
ZEV relative to a comparable ICE
vehicle after accounting for the two IRA
tax credits (IRA section 13502,
‘‘Advanced Manufacturing Production
Credit,’’ and IRA section 13403,
‘‘Qualified Commercial Clean
Vehicles’’) and the associated EVSE
costs, if applicable. We also assessed the
We also evaluated the costs of the
proposed standards for purchasers on
average by regulatory group, as shown
in Table II–32 and Table II–33. Our
assessment of the upfront purchaser
costs include the incremental cost of a
45
24
28
30
21
Per-ZEV
manufacturer
RPE on
average
¥$9,515
1,358
8,146
26,364
54,712
Fleet-average
per-vehicle
manufacturer
RPE
¥$4,326
326
2,300
8,013
11,445
incremental annual operating savings of
a ZEV relative to a comparable ICE
vehicle. The payback periods shown
reflect the number of years it would take
for the annual operating savings to offset
the increase in total upfront costs for the
purchaser.
TABLE II–32—MY 2027 PURCHASER PER-ZEV UPFRONT COSTS, OPERATING COSTS, AND PAYBACK PERIOD
[2021$]
Adoption rate
in technology
package
(%)
lotter on DSK11XQN23PROD with PROPOSALS2
Regulatory group
LHD Vocational ........................................
MHD Vocational .......................................
22
19
522 Nair, Vishnu; Sawyer Stone; Gary Rogers; Sajit
Pillai; Roush Industries, Inc. ‘‘Technical Review:
Medium and Heavy Duty Electrification Costs for
MY 2027–2030.’’ February 2022. Page 18. Last
accessed on February 9, 2023 at https://
blogs.edf.org/climate411/files/2022/02/EDF-MDHDElectrification-v1.6_20220209.pdf.
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Incremental
per-ZEV RPE
cost on
average
EVSE costs
Per-ZEV on
average
¥$1,733
482
$10,562
14,229
523 Hall, Dale and Nic Lutsey. ‘‘Estimating the
Infrastructure Needs and Costs for the Launch of
Zero-Emission Trucks.’’ February 2019. Page 4. Last
accessed on February 9, 2023 at https://theicct.org/
wp-content/uploads/2021/06/ICCT_EV_HDVs_
Infrastructure_20190809.pdf.
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Total
incremental
upfront
per-ZEV
costs on
average
$8,828
14,711
Annual
incremental
operating
costs on
average
¥$4,474
¥5,194
Payback
period (year)
on average
3
3
524 Kahn, Ari, et al. ‘‘The Inflation Reduction Act
Will Help Electrify Heavy-Duty Trucking’’. Rocky
Mountain Institute. August 25, 2022. Available
online: https://rmi.org/inflation-reduction-act-willhelp-electrify-heavy-duty-trucking/.
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TABLE II–32—MY 2027 PURCHASER PER-ZEV UPFRONT COSTS, OPERATING COSTS, AND PAYBACK PERIOD—Continued
[2021$]
Adoption rate
in technology
package
(%)
Regulatory group
HHD Vocational .......................................
Day Cab Tractors .....................................
Sleeper Cab Tractors ...............................
Incremental
per-ZEV RPE
cost on
average
EVSE costs
Per-ZEV on
average
¥9,531
24,121
N/A
16
10
0
Total
incremental
upfront
per-ZEV
costs on
average
19,756
37,682
N/A
10,225
61,803
N/A
Annual
incremental
operating
costs on
average
Payback
period (year)
on average
¥4,783
¥7,275
N/A
3
8
N/A
Note: The average costs represent the average across the regulatory group, for example the first row represents the average across all Light
Heavy-Duty vocational vehicles.
TABLE II–33—MY 2032 PURCHASER PER-ZEV UPFRONT COSTS, OPERATING COSTS, AND PAYBACK PERIOD
[2021$]
Adoption rate
in technology
package
(%)
Regulatory group
lotter on DSK11XQN23PROD with PROPOSALS2
LHD Vocational ........................................
MHD Vocational .......................................
HHD Vocational .......................................
Day Cab Tractors .....................................
Sleeper Cab Tractors ...............................
57
35
40
34
25
As shown in Table II–33, under our
proposal we estimate that the average
upfront cost per vehicle to purchase a
new MY 2032 vocational ZEV and
associated EVSE compared to a
comparable ICE vehicle (after
accounting for two IRA tax credits, IRA
section 13502, ‘‘Advanced
Manufacturing Production Credit,’’ and
IRA section 13403, ‘‘Qualified
Commercial Clean Vehicles’’), would be
offset by operational costs (i.e., savings
that come from the lower costs to
operate, maintain, and repair ZEV
technologies), such that we expect the
upfront cost increase would be
recouped due to operating savings in
one to three years, on average for
vocational vehicles. For a new MY 2032
day cab tractor ZEV and associated
EVSE, under our proposal we estimate
the average incremental upfront cost per
vehicle would be recovered in three
years, on average. Similarly, for sleeper
cab tractors, we estimate that the initial
cost increase would be recouped in
seven years. We discuss this in more
detail in DRIA Chapter 2.
The average per-vehicle purchaser
costs shown in Table II–32 for MY 2027
are higher than the MY 2032 per-vehicle
costs. The reduction in costs over time
are reflective of technology learning, as
discussed in Section IV.B. It is worth
noting that though the upfront costs of
a BEV day cab tractor, for example, are
higher when one considers both the
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Incremental
per-ZEV RPE
cost on
average
EVSE costs
Per-ZEV on
average
¥$9,608
¥2,907
¥8,528
582
14,712
$10,552
14,312
17,233
16,753
0
vehicle and the EVSE, purchasers would
still recoup these upfront costs within
eight years of ownership on average.
Also of note, our proposed standards in
MY 2027 have a lower adoption rate of
10 percent for these day cab tractors, in
recognition of the higher cost in MY
2027 than in MY 2032. The upfront
vehicle cost increase projected at
$24,000 represents a less than a 25
percent increase when compared to the
average price of $100,000 for a new day
cab tractor. Purchasers also would have
the option to consider alternatives to
purchasing an EVSE at the time of
purchasing a vehicle. For example,
depending on the location of the
vehicle, heavy-duty public charging
may be a better solution than depot
charging. The purchaser could instead
of spending over $37,000 upfront on
average for EVSE, they could instead
spread the cost over time through public
charging where the EVSE costs would
be built into the electricity cost.
5. Lead Time Assessment
Two of the significant aspects of the
IRA are the tax credit available for the
manufacturing of batteries and the tax
credit available for the purchase of HD
zero-emission vehicles, where the IRA
provisions’ qualifications are met. The
tax credits significantly reduce, and in
many cases erase, the incremental cost
of purchasing a HD ZEV when
compared to the cost of purchasing a
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Total
incremental
upfront
per-ZEV
costs on
average
$944
11,405
8,705
17,335
14,712
Annual
incremental
operating
costs on
average
¥$4,043
¥5,397
¥7,436
¥6,791
¥2,290
Payback
period (year)
on average
1
3
2
3
7
comparable ICE vehicle. Therefore, as
explained in our payback analysis, we
expect the IRA will incentivize the
demand and purchaser acceptance for
HD ZEVs. However, demand and
purchaser acceptance are only two of
the factors we consider when evaluating
the feasibility of HD ZEV technologies
in the MY 2027 through MY 2032
timeframe. As we propose standards for
MYs 2027 through 2032, which are
between four and nine years from now,
we considered the lead time required for
manufacturers to design, develop, and
produce the ZEV and ICE vehicle
technologies in the technology
packages, in addition to lead time
considerations for the charging and
hydrogen refueling infrastructure. We
welcome comment on our assessment of
lead time in these areas.
Manufacturers require time to design,
develop, and build new vehicles. Based
on discussions with heavy-duty
manufacturers, depending on the
amount of content that is new on a
vehicle, it could take two to four years
or more years to design, develop and
prove the safety and reliability of a new
HD vehicle. A typical design process
includes the design and building of
prototype or demonstration vehicles
that are evaluated over several months
or years in real world operation. The
manufacturers need to accumulate miles
and experience a wide variety of
environmental conditions on these
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prototype vehicles to demonstrate the
product’s durability and reliability.
Then manufacturers would work to
commercialize the vehicle and in turn
build it in mass production. We also
considered that manufacturers are likely
limited in terms of the financial
resources, human resources, and testing
facilities to redesign all of their vehicles
at the same time. Typically,
manufacturers would focus on the
applications with the best business case
because these would be where the
customers would be most willing to
purchase, therefore the proposed
standards phase in over a period of time
starting in MY 2027 through MY 2032.
For HD BEVs, we have considered that
BEV technology has been demonstrated
to be technically feasible in heavy-duty
transportation and that manufacturers
will learn from the research and
development work that has gone into
developing the significant number of LD
and HD electric vehicle models that are
on the road today, as noted in Section
II.D.2 and DRIA Chapter 1.5.5, and our
proposed standards are supported by
technology packages with increasing
BEV adoption rates beginning in MY
2027 (see also our discussion in this
subsection regarding our consideration
of adequate time for infrastructure
development for HD BEVs). For HD
FCEVS, as discussed in Section II.D.3
and II.D.4, along with DRIA Chapter
1.7.5, fuel cell technology in other
sectors has been in existence for
decades, has been demonstrated to be
technically feasible in heavy-duty
transportation, and there are a number
of HD FCEV models that are
commercially available today with more
expected to become available by 2024.
However, we included this technology
for our proposed standards starting in
MY 2030 in part to take into
consideration additional lead time to
allow manufacturers to design, develop,
and manufacture HD FCEV models (see
also our discussion in this subsection
regarding our consideration of adequate
time for infrastructure development for
HD FCEVs).
We discuss in Sections II.D.1 and
II.F.1 the need for ICE vehicles to
continue to install CO2-reducing
technologies, such as advanced
aerodynamics, efficient powertrains,
and lower rolling resistance tires. In our
technology assessment for this proposal,
we included the technology packages
we considered in setting the existing
Phase 2 MY 2027 CO2 emission
standards. Each of these technologies
exists today and continues to be
developed by manufacturers. As noted
in 2016 when we issued the HD GHG
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Phase 2 final rule, at that time we
provided over ten years of lead time to
the manufacturers to continue the
development and deployment of these
technologies. Our current assessment is
that these ICE vehicle technologies
continue to be feasible in the MY 2027
and later timeframe.
As a new vehicle is being designed
and developed, we considered that
manufacturers will also need time to
significantly increase HD ZEV
production volumes from today’s
volumes. In particular, manufacturers
will need to build new or modify
existing manufacturing production lines
to assemble the new products that
include ZEV powertrains. We also
considered that manufacturers will
require time to source new components,
such as heavy-duty battery packs,
motors, fuel cell stacks, and other ZEV
components, including the sourcing of
the critical materials, as discussed in
Section II.D.2.ii. As described in Section
II.D.5, we anticipate that manufacturers
will not develop vehicles to cover all
types of HD vehicles at once but will
focus on those with the most favorable
business case first, increase the
adoption of those vehicles over time,
and then develop other applications. We
believe our approach described in
Section II.D.5 shows the adoption rates
for the applications we have considered
would be achievable in the MY 2027
and later timeframe. We welcome
comment on the manufacturer lead time
requirements for HD ZEVs.
Purchasers of BEVs will also need to
consider how they will charge their
vehicles. Our assessment of the
availability of public charging
infrastructure, EVSE technology, and
costs associated with depot charging are
included in Section II.E.2 of this
preamble, DRIA Chapter 1 and DRIA
Chapter 2. As noted in DRIA Chapter 2,
we anticipate that many first-time BEV
owners may opt to purchase and install
EVSE at or near the time of vehicle
purchase and we therefore account for
these capital costs upfront. In terms of
EVSE for HD BEVs, this equipment is
available today for purchase. However,
it takes time for individual or fleet
owners to develop charging site plans
for their facility, obtain permits,
purchase the EVSE, and have it
installed. For the depots that may be
charging a greater number of vehicles or
with high-power DCFC ports, an
upgrade to the electricity distribution
system may be required. As noted in
DRIA Chapter 1, we expect significant
increases in HD charging infrastructure
due to a combination of public and
private investments. This includes
Federal funding available through the
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BIL 525 and the IRA.526 As discussed in
DRIA Chapter 1.6.2.2, states, OEMs,
utilities, EVSE providers and others are
also investing in and supporting the
deployment of charging infrastructure.
For example, Daimler Trucks North
America, Volvo Trucks, Navistar, and
PACCAR are a few of the HD
manufacturers investing in EVSE,
sometimes packaging the sale of EVSE
with the vehicle.527 528 529 530 Because of
these projected increases and the
funding available through the BIL and
IRA, and as we are proposing more
stringent standards that begin in MY
2027, our assessment supports that there
is sufficient time for the infrastructure,
especially for depot charging, to
gradually increase over the remainder of
this decade to levels that support the
stringency of the proposed standards for
the timeframe they would apply. We
request comment on time considerations
for all levels of HD charging
infrastructure, including Level 2 up to
350 kW DCFC systems.
Purchasers of FCEVs will need to
consider how they will obtain hydrogen
to refuel the vehicles. As discussed in
DRIA Chapter 1.8, there are currently 54
public retail hydrogen fueling stations
in the United States, primarily for lightduty vehicles in California according to
DOE’s Alternative Fuels Data Center.
When including private and planned
stations in a search, there are over 130
refueling station locations
nationwide.531 There are also numerous
nationally designated hydrogen-ready or
hydrogen-pending Alternative Fueling
Corridors. Corridor-ready designations
525 Infrastructure Investment and Jobs Act, Public
Law 117–58, 135 Stat. 429 (2021), available at
https://www.congress.gov/117/plaws/publ58/
PLAW-117publ58.pdf.
526 Inflation Reduction Act, Public Law 117–169,
136 Stat. 1818 (2022).
527 Daimler Truck North America. ‘‘Daimler
Trucks North America, Portland General Electric
open first-of-its-kind heavy-duty electric truck
charging site’’. April 21, 2021. Available online:
https://northamerica.daimlertruck.com/PressDetail/
daimler-trucks-north-america-portland-general2021-04-21.
528 Volvo Trucks USA. ‘‘Volvo Trucks Simplifies
EV Charger Procurement with Vendor Direct
Shipping Program’’. September 29, 2022. Available
online: https://www.volvotrucks.us/news-andstories/press-releases/2022/september/volvo-truckssimplifies-ev-charger-procurement-with-vendordirect-shipping-program.
529 Navistar. ‘‘Navistar and In-Charge Energy Now
Offer Carbon-Neurtral Electric Vehicle Charging’’.
Available online: https://news.navistar.com/202110-25-Navistar-and-In-Charge-Energy-Now-OfferCarbon-Neutral-Electric-Vehicle-Charging.
530 Paccar Parts. ‘‘Electric Vehicle Chargers’’.
Available online: https://www.paccarparts.com/
technology/ev-chargers/.
531 U.S. Department of Energy, Alternative Fuels
Data Center. ‘‘Hydrogen Fueling Station Locations’’.
Last accessed on January 27, 2023. Available online:
https://afdc.energy.gov/fuels/hydrogen_
locations.html#/analyze?fuel=HY.
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have public hydrogen stations no greater
than 100 miles apart and no greater than
five miles off the highway. Corridorpending designations have public
hydrogen stations separated by more
than 100 miles but no greater than five
miles off the highway.532 533 In addition,
DOE’s draft Clean Hydrogen Strategy
and Roadmap suggests a regional ‘‘clean
hydrogen hub’’ approach to
infrastructure. Under provisions of the
BIL, DOE is investing $8 billion through
2026 to support the development of at
least four hubs that can demonstrate the
production, processing, delivery,
storage, and end use of clean hydrogen.
DOE released a Liftoff Report on clean
hydrogen to establish a common fact
base moving forward for dialogue and
coordinated action across the full
technology value chain (e.g., from
upstream production to downstream
end uses). The report considers the
impact of hub funding and tax credits
under BIL and IRA, including the
hydrogen production tax credit (PTC). It
identifies three phases of rapid market
growth: near-term expansion (∼2023–
2026), industrial scaling (∼2027–2034),
and long-term growth (∼2035+). The
report acknowledges that there are both
opportunities and challenges for sectors
with few decarbonization alternatives
like heavy-duty transportation end uses,
including long-haul trucks. During the
timeframe of this rule (i.e., through
2032), the Liftoff Report supports a
scenario where low-GHG hydrogen will
be emerging for long-haul trucks.534 We
project that hydrogen consumption from
FCEVs in this proposal would be a small
proportion of total low-GHG hydrogen
expected to be produced through 2030
in the United States.
To meet more immediate needs, end
users may expect to rely on hydrogen
deliveries from central production
facilities. After evaluating the existing
and future hydrogen refueling
infrastructure,535 we considered FCEVs
532 U.S. Department of Transportation, Federal
Highway Administration. ‘‘Alternative Fuel
Corridors: Hydrogen’’. Available online: https://
hepgis.fhwa.dot.gov/fhwagis/ViewMap.aspx?map=
Highway+Information|Hydrogen+(HYRound+1,2,3,4,5+and+6)#.
533 U.S. Department of Transportation, Federal
Highway Administration. ‘‘Alternative Fuel
Corridors; Frequently Asked Questions FAST Act
Section 1413—Alternative Fuel Corridor
Designations Updated December 2020 to Support
Round 5’’. Available online: https://www.fhwa.
dot.gov/environment/alternative_fuel_corridors/
resources/faq/.
534 U.S. Department of Energy. ‘‘Pathways to
Commercial Liftoff: Clean Hydrogen’’. March 2023.
Available online: https://liftoff.energy.gov/wpcontent/uploads/2023/03/20230320-Liftoff-CleanH2-vPUB.pdf.
535 U.S. Department of Energy. ‘‘Pathways to
Commercial Liftoff: Clean Hydrogen’’. March 2023.
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only in the MY 2030 and later
timeframe to better ensure we have
provided adequate time for
infrastructure development and because
we expect that refueling needs can be
met by MY 2030, as discussed in
Section II.D.4 and in DRIA Chapter 2.1.
We request comment on lead time
considerations related to the
development of HD hydrogen fueling
infrastructure.
Giving consideration to these factors,
our analysis supports that there is
sufficient lead time to meet the
proposed standards, which
manufacturers may comply with
through application of BEV
technologies, FCEV technologies, or
further improvements to ICE vehicles,
including H2–ICE powered vehicles.
However, we also considered and are
requesting comment on an alternative
standards reflecting a slower phase-in of
HD ZEV adoption rates, and are also
seeking comment on more stringent
standards reflecting a more aggressive
phase-in of HD ZEV adoption rates, as
described in Section II.H.
Additionally, while we believe there
is sufficient time for the charging and
refueling infrastructure to develop for
the reasons explained in this section,
EPA recognizes that such infrastructure
for BEVs and FCEVs is important for the
success of the increasing development
and adoption of these vehicle
technologies. EPA carefully considered
that there are significant efforts already
underway to develop and expand
heavy-duty electric charging and
hydrogen refueling infrastructure both
at the local, State and Federal
government level as well as from private
industry, as discussed in DRIA Chapters
1 and 2 and this section. Those are
important early actions that, as we just
explained, will support the increase in
ZEV charging and refueling
infrastructure needed for the future
growth of ZEV technology of the
magnitude EPA is projecting in this
proposal’s technology packages. EPA
has heard from some representatives
from the heavy-duty vehicle
manufacturing industry both optimism
regarding the heavy-duty industry’s
ability to produce ZEV technologies in
future years at high volume, but also
concern that a slow growth in ZEV
refueling infrastructure can slow the
growth of heavy-duty ZEV adoption,
and that this may present challenges for
vehicle manufacturers’ ability to comply
with future EPA GHG standards. EPA
has a vested interest in monitoring
Available online: https://liftoff.energy.gov/wpcontent/uploads/2023/03/20230320-Liftoff-CleanH2-vPUB.pdf.
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industry’s performance in complying
with mobile source emission standards,
including the highway heavy-duty
industry. EPA monitors industry’s
performance through a range of
approaches, including regular meetings
with individual companies and
regulatory requirements for data
submission as part of the annual
certification process. EPA also provides
transparency to the public through
actions such as publishing industry
compliance reports (such as has been
done during the heavy-duty GHG Phase
1 program).536 EPA requests comment
on what, if any, additional information
and data EPA should consider collecting
and monitoring during the
implementation of the Phase 3
standards; we also request comment on
whether there are additional
stakeholders EPA should work with
during implementation of the Phase 3
standards and what measures EPA
should include to help ensure success of
the Phase 3 program, including with
respect to the important issues of
refueling and charging infrastructure for
ZEVs.
G. EPA’s Basis That the Proposed
Standards Are Feasible and Appropriate
Under the Clean Air Act
1. Overview
As discussed in Section II.A of this
preamble, there is a critical need for
further GHG reductions to address the
adverse impacts of air pollution from
HD vehicles on public health and
welfare. With continued advances in
internal combustion emissions controls
and vehicle zero emission technologies
coming into the mainstream as key
vehicle emissions controls, EPA
believes substantial further emissions
reductions are feasible and appropriate
under the Clean Air Act.
The Clean Air Act authorizes EPA to
establish emissions standards for motor
vehicles to regulate emissions of air
pollutants that contribute to air
pollution which, in the Administrator’s
judgment, may reasonably be
anticipated to endanger public health or
welfare. Heavy-duty vehicles are
significant contributors to the U.S. GHG
emissions inventories, and additional
reductions in GHGs from vehicles are
needed to avoid the worst consequences
of climate change as discussed in
Section II.A.
536 See EPA Reports EPA–420–R–21–001B
covering Model Years 2014–2018, and EPA report
EPA–420–R–22–028B covering Model Years 2014–
2020, available online at https://www.epa.gov/
compliance-and-fuel-economy-data/epa-heavyduty-vehicle-and-engine-greenhouse-gas-emissions.
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This proposed rule also considers the
large potential impact that the Inflation
Reduction Act (IRA) will have on
facilitating production and adoption of
ZEV technologies. The IRA provides
powerful incentives in reducing the cost
to manufacture and purchase ZEVs, as
well as reducing the cost of charging
infrastructure, that will help facilitate
increased market penetration of ZEV
technology in the time frame considered
in this rulemaking. Thus, it is an
important element of EPA’s cost and
feasibility assessment, and EPA has
considered the impacts of the IRA in our
assessment of the appropriate proposed
standards.
As we did in HD GHG Phase 1 and
Phase 2 rulemakings, in this Phase 3
proposal we considered the following
factors: the impacts of potential
standards on emissions reductions of
GHG emissions; technical feasibility and
technology effectiveness; the lead time
necessary to implement the
technologies; costs to manufacturers;
costs to purchasers including operating
savings; reduction of non-GHG
emissions; the impacts of standards on
oil conservation and energy security;
impacts of standards on the truck
industry; other energy impacts; as well
as other relevant factors such as impacts
on safety.537 See Section II.G.5 for
further discussion of how we balanced
the factors we considered for the
proposed Phase 3 standards.
2. Consideration of Technological
Feasibility, Compliance Costs and Lead
Time
The technological readiness of the
heavy-duty industry to meet the
proposed standards for model years
2027–2032 and beyond is best
understood in the context of over a
decade of heavy-duty vehicle emissions
reduction programs in which the HD
industry has introduced emissions
reducing technologies in a wide lineup
of ever more efficient and costcompetitive vehicle applications.
Electrification technologies have seen
particularly rapid development over the
last several years such that early HD
ZEV models are in use today for some
applications and and are expected to
expand to many more applications, as
discussed DRIA Chapters 1.5 and 2, and
as a result the number of ZEVs projected
in the proposal and across all the
alternatives considered here is much
higher than in any of EPA’s prior
rulemaking analyses.
As discussed in DRIA Chapter 1.5.5
and Section I, the ZEV technology
537 81 FR 73512 (October 25, 2016) and 76 FR
57129 (September 15, 2011).
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necessary to achieve significantly more
stringent standards has already been
developed and deployed. Additionally,
manufacturers have announced plans to
rapidly increase their investments in
ZEV technologies over the next decade.
In addition, the IRA and the BIL provide
many monetary incentives for the
production and purchase of ZEVs in the
heavy-duty market, as well as incentives
for electric vehicle charging
infrastructure. Furthermore, there have
been multiple actions by states to
accelerate the adoption of heavy-duty
ZEVs, such as (1) a multi-state
Memorandum of Understanding for the
support of heavy-duty ZEV adoption; 538
and (2) the State of California’s ACT
program, which has also been adopted
by other states and includes a
manufacturer requirement for zeroemission truck sales.539 Together with
the range of ICE technologies that have
been already demonstrated over the past
decade, BEVs and FCEVs with no
tailpipe emissions (and 0 g CO2/tonmile certification values) are capable of
supporting rates of annual stringency
increases that are much greater than
were typical in earlier GHG
rulemakings.
In setting standards for a future model
year, EPA considers the extent
deployment of advanced technologies
would be available and warranted in
light of the benefits to public health and
welfare in GHG emission reductions,
and potential constraints, such as cost of
compliance, lead time, raw material
availability, component supplies,
redesign cycles, charging and refueling
infrastructure, and purchasers’
willingness to purchase (including
payback). The extent of these potential
constraints has diminished significantly
in light of increased and further
projected investment by manufacturers,
increased and further projected
acceptance by purchasers, and
significant support from Congress to
address such areas as upfront purchase
price, charging infrastructure, critical
mineral supplies, and domestic supply
chain manufacturing. In response to the
increased stringency of the proposed
standards, manufacturers would be
expected to adopt advanced
technologies, such as increased
electrification, at an increasing pace
538 NESCAUM MOU, available at https://
www.nescaum.org/documents/mhdv-zev-mou20220329.pdf.
539 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023. The ACT had been adopted by five states
under CAA section 177: Oregon, Washington, New
York, New Jersey, and Massachusetts. Oregon and
Washington adopted ACT as-is, whereas New York,
New Jersey, and Massachusetts adopted ACT on a
one-year delay.
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across more of their vehicles. To
evaluate the feasibility of BEVs and
FCEVs in our technology packages that
support the proposed standards, EPA
developed a tool called HD TRUCS, to
evaluate the design features needed to
meet the energy and power demands of
various HD vehicle types when using
ZEV technologies. The overarching
design and functionality of HD TRUCS
is premised on ensuring each of the 101
ZEV types could perform the same work
as a comparable ICE vehicle
counterpart. Within the HD TRUCS
modeling that EPA conducted to
support this proposal, we have imposed
constraints to reflect the rate at which
a manufacturer can deploy ZEV
technologies that include consideration
of time necessary to ramp up battery
production, including the need to
increase the availability of critical raw
materials and expand battery
production facilities, as discussed in
Section II.D.2.ii.
Constraints on the technology
adoption limits in our compliance
modeling as well as other aspects of our
lead time assessment are described in
Section II.F. Overall, given the number
and breadth of current low or zero
emission vehicles and the constraints
we have made to limit the rate of
development for new HD vehicles, our
assessment shows that there is sufficient
lead time for the industry to more
broadly deploy existing technologies
and successfully comply with the
proposed standards.
Our analysis projects that for the
industry overall, nearly 50 percent of
new vocational vehicles and 25 to 35
percent of new tractors in MY 2032
would be ZEVs. EPA believes that this
is an achievable level based on our
technical assessment for this proposal
that includes consideration of the
feasibility and lead time required for
ZEVs and appropriate consideration of
the cost of compliance for
manufacturers. Our assessment of the
appropriateness of the level of ZEVs in
our analysis is also informed by public
announcements by manufacturers about
their plans to transition fleets to
electrified vehicles, as described in
Section I.A.2 of this preamble. More
detail about our technical assessment,
and our assessment of the production
feasibility of ZEVs is provided in
Section II.D and II.E of this Preamble
and Chapters 1 and 2 of the DRIA. At
the same time, we note that the
proposed standards are performancebased and do not mandate any specific
technology for any manufacturer or any
vehicles. Moreover, the overall industry
does not necessarily need to reach this
level of ZEVs in order to comply—this
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is one of many possible compliance
pathways that manufacturers could
choose to take under the performancebased standards. For example,
manufacturers that choose to increase
their sales of hybrid vehicle
technologies or apply more advanced
technology to non-hybrid ICE vehicles
would require a smaller number of ZEVs
than we have projected in our
assessment to comply with the proposed
standards.
In considering feasibility of the
proposed standards, EPA also considers
the impact of available compliance
flexibilities on manufacturers’
compliance options. Manufacturers
widely utilize the program’s established
averaging, banking and trading (ABT)
provisions which provide a variety of
flexible paths to plan compliance. We
have discussed this dynamic in past
rules, and we anticipate that this same
dynamic will support compliance with
this rulemaking. The GHG credit
program was designed to recognize that
manufacturers typically have a multiyear redesign cycle and not every
vehicle will be redesigned every year to
add emissions-reducing technology.
Moreover, when technology is added, it
will generally not achieve emissions
reductions corresponding exactly to a
single year-over-year change in
stringency of the standards. Instead, in
any given model year, some vehicles
will be ‘‘credit generators,’’ overperforming compared to their respective
CO2 emission standards in that model
year, while other vehicles will be ‘‘debit
generators’’ and under-performing
against their standards. As the proposed
standards reach increasingly lower
numerical levels, some vehicle designs
that had generated credits against their
CO2 emission standard in earlier model
years may instead generate debits in
later model years. In MY 2032 when the
proposed standards reach the lowest
level, it is possible that only BEVs,
FCEVs, and H2–ICE vehicles are
generating positive credits, and all ICE
vehicles generate varying levels of
deficits. Even in this case, the
application of ICE technologies can
remain an important part of a
manufacturer’s compliance strategy by
reducing the amount of debits generated
by these vehicles. A greater application
of ICE technologies (e.g., hybrids) can
enable compliance with fewer ZEVs
than if less ICE technology was adopted,
and therefore enable the tailoring of a
compliance strategy to the
manufacturer’s specific market and
product offerings. Together, a
manufacturer’s mix of credit-generating
and debit-generating vehicles contribute
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to its sales-weighted average
performance, compared to its standard,
for that year.
Just as the averaging approach in the
HD vehicle GHG program allows
manufacturers to design a compliance
strategy relying on the sale of both
credit-generating vehicles and debitgenerating vehicles in a single year, the
credit banking and trading provisions of
the program allow manufacturers to
design a compliance strategy relying on
overcompliance and undercompliance
in different years, or even by different
manufacturers. Credit banking allows
credits to carry-over for up to five years
and allows manufacturers up to three
years to address any credit deficits.
Credit trading is a compliance flexibility
provision that allows one vehicle
manufacturer to purchase credits from
another, though trading of GHG credits
has not occurred with HD GHG credits.
The proposed performance-based
standards with ABT provisions give
manufacturers a degree of flexibility in
the design of specific vehicles and their
fleet offerings, while allowing industry
overall to meet the standards and thus
achieve the health and environmental
benefits projected for this rulemaking.
EPA has considered the averaging
portion of the ABT program in the
feasibility assessments for previous
rulemakings and continues that practice
here. We also continue to acknowledge
that the other provisions in ABT that
provide manufacturers additional
flexibility also support the feasibility of
the proposed standards. By averaging
across vehicles in the vehicle averaging
sets and by allowing for credit banking
across years, manufacturers have the
flexibility to adopt emissions-reducing
technologies in the manner that best
suits their particular market and
business circumstances. EPA’s annual
Heavy-Duty Vehicle and Engine
Greenhouse Gas Emissions Compliance
Report illustrates how different
manufacturers have chosen to make use
of the GHG program’s various credit
features.540 It is clear that manufacturers
are widely utilizing several of the credit
programs available, and we expect that
manufacturers will continue to take
advantage of the compliance flexibilities
and crediting programs to their fullest
extent, thereby providing them with
additional tools in finding the lowest
540 ‘‘The Final Phase 1 EPA Heavy-Duty Vehicle
and Engine Greenhouse Gas Emissions Compliance
Report (Model Years 2014–20),’’ EPA–420–R–22–
028. November 2022. Last accessed on February 9,
2023 at https://www.epa.gov/compliance-and-fueleconomy-data/epa-heavy-duty-vehicle-and-enginegreenhouse-gas-emissions.
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cost compliance solutions in light of the
proposed standards.
In addition to technological feasibility
and lead time, EPA has considered the
cost for the heavy-duty industry to
comply with the proposed standards.
See Section II.F.4 and Chapter 2 of the
DRIA for our analysis of compliance
costs for manufacturers. We estimate
that the MY 2032 fleet average pervehicle cost to manufacturers by
regulatory group would range between a
cost savings for LHD vocational vehicles
to $2,300 for HHD vocational vehicles
and between $8,000 and $11,400 per
tractor. EPA notes the projected costs
per vehicle for this proposal are similar
to the fleet average per-vehicle costs
projected for the HD GHG Phase 2 rule
that we considered to be reasonable.
The Phase 2 tractor standards were
projected to cost between $10,200 and
$13,700 per vehicle (81 FR 73621). The
Phase 2 vocational vehicle standards
were projected to cost between $1,486
and $5,670 per vehicle (81 FR 73718).
Furthermore, the estimated MY 2032
costs to manufacturers represent less
than about ten percent of the average
price of a new heavy-duty tractor today
(conservatively estimated at $100,000 in
2022).541 For this proposal, EPA finds
that the expected vehicle compliance
costs are reasonable in light of the
emissions reductions in air pollutants
and the resulting benefits for public
health and welfare.
3. Consideration of Emissions of GHGs
An essential factor that EPA
considered in determining the
appropriate level of the proposed
standards is the reductions in GHG
emissions and associated public health
and welfare impacts.542
The proposed GHG standards would
achieve significant reductions in GHG
emissions. The proposed standards
would achieve approximately 1.8 billion
metric tons in net CO2 cumulative
emission reductions from calendar years
2027 through 2055 (see Section V of the
preamble and Chapter 4 of the DRIA).
As discussed in Section VI of this
541 Note that these values are averages across all
vehicles and there will be differences for each
individual vehicle.
542 As further explained in Section II.G.4, we note
that we also expect the proposed GHG emission
standards would lead to an increase in HD ZEVs,
which would also result in reductions of vehicle
emissions of non-GHG pollutants that contribute to
ambient concentrations of ozone, particulate matter
(PM2.5), NO2, CO, and air toxics. EPA did not select
the proposed GHG emission standards based on
non-GHG reductions of vehicle emissions;
nonetheless, the GHG and non-GHG reductions of
vehicle emissions of the proposed program
reinforce our view that the proposed standards
represent an appropriate weighing of the statutory
factors and other relevant considerations.
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preamble, these GHG emission
reductions would make an important
contribution to efforts to limit climate
change and its anticipated impacts.
The proposed CO2 emission standards
would reduce adverse impacts
associated with climate change and
would yield significant benefits,
including those we can monetize and
those we are unable to fully monetize
due to data and modeling limitations.
The program would result in significant
social benefits including $87 billion in
climate benefits (with the average SC–
GHGs at a 3 percent discount rate). A
more detailed description and
breakdown of these benefits can be
found in Section VII of the preamble
and Chapter 7 of the DRIA.
As discussed in Section VII, we
monetize benefits of the proposed CO2
standards and evaluate other costs in
part to better enable a comparison of
costs and benefits pursuant to E.O.
12866, but we recognize that there are
benefits we are unable to fully quantify.
EPA’s consistent practice has been to set
standards to achieve improved air
quality consistent with CAA section
202, and not to rely on cost-benefit
calculations, with their uncertainties
and limitations, in identifying the
appropriate standards. Nonetheless, our
conclusion that the estimated benefits
considerably exceed the estimated costs
of the proposed program reinforces our
view that the proposed standards
represent an appropriate weighing of the
statutory factors and other relevant
considerations.
4. Consideration of Impacts on
Purchasers, Non-GHG Emissions,
Energy, Safety and Other Factors
Another factor that EPA considered in
determining the proposed standards is
the impact of the proposed HD CO2
standards on purchasers, consistent
with the approach we used in HD GHG
Phase 1 and Phase 2. In this proposal,
we considered willingness to purchase
(such as practicability, payback, and
costs for vehicle purchasers including
EVSE) in determining the appropriate
level of the proposed standards.
Businesses that operate HD vehicles are
under competitive pressure to reduce
operating costs, which should
encourage purchasers to identify and
rapidly adopt vehicle technologies that
provide a positive total cost of
ownership. Outlays for labor and fuel
generally constitute the two largest
shares of HD vehicle operating costs,
depending on the price of fuel, distance
traveled, type of HD vehicle, and
commodity transported (if any), so
businesses that operate HDVs face
strong incentives to reduce these
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costs.543 544 However, as noted in DRIA
Chapter 6.2, there are a number of other
considerations that may impact a
purchaser’s willingness to adopt new
technologies. Within HD TRUCS, we
considered the impact on purchasers
through our evaluation of payback
periods. The payback period is the
number of years that it would take for
the annual operational savings of a ZEV
to offset the incremental upfront
purchase price of a BEV or FCEV (after
accounting for the IRA section 13502
battery tax credit and IRA section 13403
vehicle tax credit) and charging
infrastructure costs (for BEVs) when
compared to purchasing a comparable
ICE vehicle. The average per-vehicle
costs to a purchaser by regulatory group
for a MY 2032 heavy-duty vehicle,
including associated EVSE and after
considering the IRA batterymanufacturer and vehicle-purchaser tax
credits, are projected to range between
$900 and $11,000 for vocational
vehicles and $14,700 and $17,300 for
tractors. As noted in Section II.F.4.ii,
EPA concludes that the proposed
standards would be beneficial for
purchasers because the lower operating
costs during the operational life of the
vehicle would offset the increase in
vehicle technology costs. For example,
purchasers of MY 2032 vocational
vehicles and day cab tractors on average
by regulatory group would recoup the
upfront costs through operating savings
within the first three years of
ownership. Furthermore, the purchasers
would benefit from annual operating
cost savings for each year after the
payback occurs. EPA finds that these
average costs to purchasers are
reasonable considering the operating
savings which more than offsets these
costs, as was also the case with the HD
GHG Phase 2 rule. See 81 FR 73482.
We also considered the practicability
and suitability of the proposed
standards as we applied an additional
constraint within HD TRUCS that
limited the maximum ZEV adoption rate
to 80 percent for any given vehicle type.
This conservative limit was developed
after consideration of the actual needs of
the purchasers, as discussed in Section
II.F.1.
Within our analysis, to support the
practicability and suitability of the
proposed standards we also considered
the lead time necessary for purchasers
to install depot charging and the lead
time necessary for development of
543 American Transportation Research Institute,
An Analysis of the Operational Costs of Trucking,
September 2013. Docket ID: EPA–HQ–OAR–2014–
0827–0512.
544 Transport Canada, Operating Cost of Trucks,
2005. Docket ID: EPA–HQ–OAR–2014–0827–0070.
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hydrogen infrastructure that would be
required for the use of these
technologies. As further explained in
DRIA Chapter 1.6 and Sections II.E.2
and II.F.5, our assessment supports that
depot charging can be installed in time
for the purchase and use of the volume
of MY 2027 BEVs we project could be
used to comply with the proposed
standards. With respect to hydrogen
infrastructure, as further explained in
DRIA Chapter 1.8 and Section II.F.5, we
recognize that this may take longer to
develop, and therefore included a
constraint for FCEVs such that we did
not propose new standards for long-haul
vehicles until MY 2030, when we
expect refueling needs can be met for
the volume of FCEVs we project could
be used to comply with the proposed
standards. Furthermore, we also
assessed the impact of future HD BEVs
on the grid, as discussed in Section
II.E.2. Our assessment is that grid
reliability is not expected to be
adversely affected by the modest
increase in electricity demand
associated with HD BEV charging and
thus was not considered to be a
constraining consideration.
EPA considers our analysis of the
impact of the proposed CO2 emission
standards on vehicle and upstream
emissions for non-GHG pollutants as
supportive of the proposed standards.
The proposed standards would decrease
vehicle emissions of non-GHG
pollutants that contribute to ambient
concentrations of ozone, particulate
matter (PM2.5), NO2, CO, and air toxics.
By 2055, when considering downstream
vehicle, EGU, and refinery emissions,
we estimate a net decrease in emissions
from all pollutants modeled (i.e., NOX,
PM2.5, VOC, and SO2) (see Section V of
the preamble and Chapter 4 of the DRIA
for more detail).
As also explained in Section II.G.3,
and as discussed in Section VII, we
monetize benefits of the proposed
standards and evaluate other costs in
part to better enable a comparison of
costs and benefits pursuant to E.O.
12866, but we recognize that there are
benefits we are unable to fully quantify.
EPA’s consistent practice has been to set
standards to achieve improved air
quality consistent with CAA section
202, and not to rely on cost-benefit
calculations, with their uncertainties
and limitations, in identifying the
appropriate standards.
EPA also evaluated the impacts of the
proposed HD GHG standards on energy,
in terms of oil conservation and energy
security through reductions in fuel
consumption. This proposal is projected
to reduce U.S. oil imports 4.3 billion
gallons through 2055 (see Section VI.F).
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We estimate the benefits due to
reductions in energy security
externalities caused by U.S. petroleum
consumption and imports would be
approximately $12 billion under the
proposed program. EPA considers this
proposal to be beneficial from an energy
security perspective and thus this factor
was considered to be a supportive and
not constraining consideration.
EPA estimates that the present value
of monetized net benefits to society
would be approximately $320 billion
through the year 2055 (annualized net
benefits of $17 billion through 2055),
more than 5 times the cost in vehicle
technology and associated electric
vehicle supply equipment (EVSE)
combined. Regarding social costs, EPA
estimates that the cost of vehicle
technology (not including the vehicle or
battery tax credits) and EVSE would be
approximately $9 billion and $47 billion
respectively, and that the HD industry
would save approximately $250 billion
in operating costs (e.g., savings that
come from less liquid fuel used, lower
maintenance and repair costs for ZEV
technologies as compared to ICE
technologies, etc.). The program would
result in significant social benefits
including $87 billion in climate benefits
(with the average SC–GHGs at a 3
percent discount rate). Between $15 and
$29 billion of the estimated total
benefits through 2055 are attributable to
reduced emissions of non-GHG
pollutants, primarily those that
contribute to ambient concentrations of
PM2.5. Finally, the benefits due to
reductions in energy security
externalities caused by U.S. petroleum
consumption and imports would be
approximately $12 billion under the
proposed program. A more detailed
description and breakdown of these
benefits can be found in Section VIII of
the preamble and Chapter 7 of the DRIA.
Our conclusion that the estimated
benefits considerably exceed the
estimated costs of the proposed program
reinforces our view that the proposed
standards represent an appropriate
weighing of the statutory factors and
other relevant considerations.
Section 202(a)(4)(A) of the CAA
specifically prohibits the use of an
emission control device, system or
element of design that will cause or
contribute to an unreasonable risk to
public health, welfare, or safety. EPA
has a history of considering the safety
implications of its emission standards,
including the HD Phase 1 and Phase 2
rule. We highlight the numerous
industry standards and safety protocols
that exist today for heavy-duty BEVs
and FCEVs that provide guidance on the
safe design of these vehicles in Section
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II.D and DRIA Chapter 1 and thus this
factor was considered to be a supportive
and not constraining consideration.
5. Selection of Proposed Standards
Under CAA 202(a)
Under section 202(a), EPA has a
statutory obligation to set standards to
reduce emissions of air pollutants from
classes of motor vehicles that the
Administrator has found contribute to
air pollution that may be expected to
endanger public health and welfare. In
setting such standards, the
Administrator must provide adequate
lead time for the development and
application of technology to meet the
standards, taking into consideration the
cost of compliance. EPA’s proposed
standards properly implement this
statutory provision, as discussed in this
Section II.G. In setting standards for a
future model year, EPA considers the
extent deployment of advanced
technologies would be available and
warranted in light of the benefits to
public health and welfare in GHG
emission reductions, and potential
constraints, such as cost of compliance,
lead time, raw material availability,
component supplies, redesign cycles,
charging and refueling infrastructure,
and purchasers’ willingness to purchase
(including payback). The extent of these
potential constraints has diminished
significantly in light of increased and
further projected investment by
manufacturers, increased and further
projected acceptance by purchasers, and
significant support from Congress to
address such areas as upfront purchase
price, charging infrastructure, critical
mineral supplies, and domestic supply
chain manufacturing. The proposed
standards would achieve significant and
important reductions in GHG emissions
that endanger public health and welfare.
Furthermore, as discussed throughout
this preamble, the emission reduction
technologies needed to meet the
proposed standards have already been
developed and are feasible and available
for manufacturers to utilize in their
fleets at reasonable cost in the
timeframe of these proposed standards,
even after considering key elements
including battery manufacturing
capacity and critical materials
availability.
As discussed throughout this
preamble, the emission reduction
technologies needed to meet the
proposed standards are feasible and
available for manufacturers to utilize in
HD vehicles in the timeframe of these
proposed standards. The proposed
emission standards are based on one
potential technology path (represented
in multiple technology packages for the
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various HD vehicle regulatory
subcategories per MY) that includes
adoption rates for both ICE vehicle
technologies and zero-emission vehicle
technologies that EPA regards as
feasible and appropriate under CAA
section 202(a) for the reasons given in
this Section II.G, and as further
discussed throughout Section II and
DRIA Chapter 2. For the reasons
described in that analysis, EPA believes
these technologies can be developed
and applied in HD vehicles and adopted
at the projected rates for these proposed
standards within the lead time
provided, as discussed in Section II.F.6
and in DRIA Chapter 2.
EPA also gave appropriate
consideration of cost of compliance in
the selection of the proposed standards
as described in this Section II.G, and as
further discussed in Section II.F and
DRIA Chapter 2. The MY 2027 through
MY 2031 emission standards were
developed using less aggressive
application rates and, therefore, are
projected to have lower technology
package costs than the proposed MY
2032 standards. Additionally, as
described in this Section II.G and as
further discussed in Section II.F and
DRIA Chapter 2, we considered impacts
on vehicle purchasers and willingness
to purchase (including practicability,
payback, and costs to vehicle
purchasers) in applying constraints in
our analysis and selecting the proposed
standards.545 For example, in MY 2032,
we estimated that the incremental cost
to purchase a ZEV would be recovered
in the form of operational savings
during the first one to three years of
ownership, on average by regulatory
group, for the vocational vehicles;
approximately three years, on average
by regulatory group, for short-haul
tractors; and seven years, on average by
regulatory group, for long-haul tractors,
as shown in the payback analysis
included in Section II.F.4. The length of
ownership of new tractors varies. One
study found that first ownership is
customarily four to seven years for ForHire companies and seven to 12 years
for Private fleets.546 Another survey
545 Although EPA sometimes describes purchaser
response (including purchaser costs) as part of our
analysis of feasibility, we emphasize that purchaser
response is not a statutorily enumerated factor
under section 202(a)(1)–(2). Rather EPA has
considered purchaser response in exercising our
discretion under the statute, and based on the
record before us, the agency views purchaser
response as a material aspect of the real-world
feasibility of the proposed standards.
546 Roeth, Mike, et al. ‘‘Barriers to Increased
Adoption of Fuel Efficiency Technologies in Freight
Trucking,’’ Page 24. July 2013. International
Council for Clean Transportation. Available at
https://theicct.org/sites/default/files/publications/
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found that the average trade-in cycle for
tractors was 8.7 years.547 Therefore, we
find that these tractor technologies on
average by regulatory group pay for
themselves within the customary
ownership timeframe for the initial
owner. As we discussed in the HD GHG
Phase 2 rulemaking, vocational vehicles
generally accumulate far fewer annual
miles than tractors and would lead
owners of these vehicles to keep them
for longer periods of time.548 To the
extent vocational vehicle owners may be
similar to owners of tractors in terms of
business profiles, they are more likely to
resemble private fleets or owneroperators than for-hire fleets.
Regardless, the technologies would also
pay for themselves on average by
regulatory group within the ownership
timeframe for vocational vehicles as
well.
Moreover, the additional flexibilities
beyond averaging already available
under EPA’s existing regulations,
including banking and trading
provisions in the ABT program—which,
for example, in effect enable
manufacturers to spread the compliance
requirement for any particular model
year across multiple model years—
further support EPA’s conclusion that
the proposed standards provide
sufficient time for the development and
application of technology, giving
appropriate consideration to cost.
The Administrator has significant
discretion to weigh various factors
under CAA section 202, and, as with the
HD GHG Phase 1 and Phase 2 rules, the
Administrator notes that the purpose of
adopting standards under that provision
of the Clean Air Act is to address air
pollution that may reasonably be
anticipated to endanger public health
and welfare and that reducing air
pollution has traditionally been the
focus of such standards. Taking into
consideration the importance of
reducing GHG emissions and the
primary purpose of CAA section 202 to
reduce the threat posed to human health
and the environment by air pollution,
the Administrator finds it is appropriate
to propose standards that, when
implemented, would result in
meaningful reductions of HD vehicle
GHG emissions both near term and over
the longer term, and to select such
standards taking into consideration the
enumerated statutory factors of
technological feasibility and cost of
compliance within the available lead
ICCT-NACFE-CSS_Barriers_Report_Final_
20130722.pdf.
547 American Transportation Research Institute.
‘‘An Analysis of the Operational Costs of Trucking:
2021 Update.’’ November 2021. Page 14.
548 81 FR 73719 (October 25, 2016).
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time, as well as the discretionary factor
of impacts on purchasers and
willingness to purchase. In identifying
the proposed standards, EPA’s goal was
to maximize emissions reductions given
our assessment of technological
feasibility and accounting for cost of
compliance, lead time, and impacts on
purchasers and willingness to purchase.
The Administrator concludes that this
approach is consistent with the text and
purpose of CAA section 202.
There have been very significant
developments in the adoption of ZEVs
since EPA promulgated the HD GHG
Phase 2 rule. One of the most significant
developments for U.S. heavy-duty
manufacturers and purchasers is the
adoption of the IRA, which takes a
comprehensive approach to addressing
many of the potential barriers to wider
adoption of heavy-duty ZEVs in the
United States. As noted in Section I, the
IRA provides tens of billions of dollars
in tax credits and direct Federal funding
to reduce the upfront cost of purchasing
ZEVs, to increase the number of
charging stations across the country, to
reduce the cost of manufacturing
batteries, and to promote domestic
source of critical minerals and other
important elements of the ZEV supply
chain. By addressing all of these
potential obstacles to wider ZEV
adoption in a coordinated, wellfinanced, strategy, Congress
significantly advanced the potential for
ZEV adoption in the near term.
In developing this estimate, EPA
considered a variety of constraints
which have to date limited ZEV
adoption and/or could limit it in the
future, including: cost to manufacturers
and purchasers; availability of raw
materials, batteries, and other necessary
supply chain elements; adequate
electricity supply and distribution; and
availability of hydrogen. EPA has
consulted with analysts from other
agencies, including the Federal Energy
Regulatory Commission, DOE, DOT, and
the Joint Office for Energy and
Transportation, extensively reviewed
published literature and other data, and,
as discussed thoroughly in this
preamble and the accompanying DRIA,
has incorporated limitations into our
modeling to address these potential
constraints, as appropriate.
As discussed in Section II.G.4, there
are additional considerations that
support, but were not used to select, the
proposed standards. These include the
non-GHG emission and energy impacts,
energy security, safety, and net benefits.
EPA estimates that the present value of
monetized net benefits to society would
be approximately $320 billion through
the year 2055 (annualized net benefits of
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$17 billion through 2055),549 more than
five times the cost in vehicle technology
and associated electric vehicle supply
equipment (EVSE) combined (see
preamble Section VII and Chapter 8 of
the DRIA). We recognize the these
estimates do not reflect unquantified
benefits, and the Administrator has not
relied on these estimates in identifying
the appropriate standards under CAA
section 202. Nonetheless, our
conclusion that the estimated benefits
considerably exceed the estimated costs
of the proposed program reinforces our
view that the proposed standards
represent an appropriate weighing of the
statutory factors and other relevant
considerations.
In addition to our proposed standards,
we also considered and are seeking
comment on a range of alternatives
above and below the proposed
standards, as specified and discussed in
Section II.H and Section IX. Our
approach and goal in selecting
standards were generally the same for
the range of alternative standards as
they were for the proposed standards,
while also recognizing that there are
uncertainties in our projections and
aiming to identify where additional
information that may become available
during the course of the rulemaking may
support standards within that range as
feasible and reasonable. EPA anticipates
that the appropriate choice of final
standards within this range will reflect
the Administrator’s judgments about the
uncertainties in EPA’s analyses as well
as consideration of public comment and
updated information where available.
We considered an alternative with a
slower phase-in with less stringent CO2
emission standards; however, we did
not select this level for the proposed
standards because our assessment in
this proposal is that feasible and
appropriate standards are available that
provide for greater GHG emission
reductions than would be provided by
this slower phase-in alternative. We also
considered a more stringent alternative
with emission standards similar to those
required by the CA ACT program. At
this time, we consider the proposed
standards as the appropriate balancing
of the factors. However, if our analysis
for the final rule of relevant existing
information, public comments, or new
information that becomes available
between the proposal and the final rule
supports a set of standards within the
range of alternatives we are requesting
comment on, we may promulgate final
CO2 emission standards different from
549 Using 3 percent discount rate and climate
benefits calculated with the average SC–GHGs at a
3 percent discount rate.
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those proposed if we determine that
those emission standards are feasible
and appropriate. For example, we could
finalize different standards based on
different ZEV adoption rates than
described for the proposed standards
based on different considerations within
the inputs of HD TRUCS or other
approaches that we have requested
comment on in this proposal (e.g.
payback schedules, consideration of
technology development lead time, ZEV
refueling infrastructure growth,
consideration of the need for and level
of emissions reductions which can be
achieved through the standards to
protect public health, etc.).
In summary, after consideration of the
very significant reductions in GHG
emissions, given the technical feasibility
of the proposed standards and the
moderate costs per vehicle in the
available lead time, and taking into
account a number of other factors such
as the savings to purchasers in operating
costs over the lifetime of the vehicle,
safety, the benefits for energy security,
and the significantly greater quantified
benefits compared to quantified costs,
EPA believes that the proposed
standards are appropriate under EPA’s
section 202(a) authority.
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H. Potential Alternatives
EPA developed and considered an
alternative level of proposed stringency
for this rule which we are seeking
comment on. The results of the analysis
of this alternative are included in
Section IX of the preamble. We also
request comment, including supporting
data and analysis, if there are certain
market segments, such as heavy-haul
vocational trucks or long-haul tractors
which may require significant energy
content for their intended use, that it
may be appropriate to set standards less
stringent than the alternative for the
specific corresponding regulatory
subcategories in order to provide
additional lead time to develop and
introduce ZEV or other low emissions
technology for those specific vehicle
applications. As described in more
detail throughout this preamble, we also
are seeking comment on setting GHG
standards that would reflect values less
stringent than the lower stringency
alternative for certain market segments,
values in between the proposed
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standards and the alternative standards,
values in between the proposed
standards and those that would reflect
ZEV adoption levels used in California’s
ACT, values that would reflect the level
of ZEV adoption in the ACT program,
and values beyond those that would
reflect ZEV adoption levels in ACT such
as the 50- to 60-percent ZEV adoption
range represented by the publicly stated
goals of several major OEMs for
2030.550 551 552 553 554 For all of these
scenarios we are requesting comment
on, EPA anticipates that the same
approach explained in Section II and
DRIA Chapter 2 would generally be
followed, including for estimating costs,
though the rationale for the different
ZEV adoption rates may be based on
different considerations within the
inputs of HD TRUCS or other
approaches that we have requested
comment on in this proposal (e.g.
payback schedules, consideration of
technology development lead time, ZEV
refueling infrastructure growth, etc.). As
explained in this Section I.D of the
preamble, EPA has significant discretion
in choosing an appropriate balance
among factors in setting standards under
CAA section 202(a)(1)–(2). If our
analysis for the final rule of relevant
existing information, public comments,
or new information that becomes
available between the proposal and final
rule supports a slower or a more
accelerated implementation of the
proposed standards, we may promulgate
final CO2 emission standards different
from those proposed (within the range
between the less stringent alternative
and the most stringent standards we
550 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
551 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html.
552 AB Volvo, ‘Volvo Trucks Launches Electric
Truck with Longer Range,’ Volvo Group, January
14, 2022, https://www.volvogroup.com/en/newsand-media/news/2022/jan/news-4158927.html.
553 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
554 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
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request comment on in this section) if
we determine that those emission
standards are feasible and appropriate.
While our assessment in this proposal
is that the proposed standards provide
adequate lead time, in order to ensure
fulsome comment on all of dynamics
involved in the market responding to
the proposed standards, we also
considered an alternative with less
stringent standards and a more gradual
phase-in. As discussed in Section II.F.6,
we considered while developing the
proposed standards that manufacturers
would need time to ramp up ZEV
production from the numbers of ZEVs
produced today to the higher adoption
rates we project in the proposed
standards that begin between four and
eight years from now. Manufacturers
would need to conduct research and
develop electrified configurations for a
diverse set of applications. They would
also need time to conduct durability
assessments because downtime is very
critical in the heavy-duty market.
Furthermore, manufacturers would
require time to make new capital
investments for the manufacturing of
heavy-duty battery cells and packs,
motors, and other EV components, along
with changing over the vehicle assembly
lines to incorporate an electrified
powertrain. In addition, the purchasers
of HD BEVs would need time to design
and install charging infrastructure at
their facilities or determine their
hydrogen refueling logistics for FCEVs.
Therefore, we developed and
considered an alternative that reflects a
more gradual phase-in of ZEV adoption
rates to account for this uncertainty. The
ZEV adoption rates associated with
level of stringency of the proposed CO2
emission standards shown in Section
II.F.4 and the alternative CO2 emission
standards shown in Section IX.A.1 are
shown in Table II–34. We are not
proposing this alternative set of
standards because, as already described,
our assessment is that feasible and
appropriate standards are available that
provide for greater emission reductions
than provided under this alternative.
We request comment on whether our
assessment that there is adequate lead
time provided in the proposed
standards is correct or if a more gradual
phase in like the one described in this
alternative would be more appropriate.
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TABLE II–34—COMPARISON OF ZEV TECHNOLOGY ADOPTION RATES IN THE TECHNOLOGY PACKAGES CONSIDERED FOR
THE PROPOSED STANDARDS AND ALTERNATIVE CONSIDERED
MY 2027
(%)
MY 2028
(%)
MY 2029
(%)
MY 2030
(%)
MY 2032
and later
(%)
MY 2031
(%)
Proposal
Vocational ................................................
Short-Haul Tractors ..................................
Long-Haul Tractors ..................................
20
10
0
25
12
0
30
15
0
35
20
10
40
30
20
50
35
25
25
10
0
30
15
10
35
20
15
40
25
20
Alternative
Vocational ................................................
Short-Haul Tractors ..................................
Long-Haul Tractors ..................................
14
5
0
In consideration of the environmental
impacts of HD vehicles and the need for
significant emission reductions, as well
as the views expressed by stakeholders
in comments on the HD2027 NPRM
such as environmental justice
communities, environmental nonprofit
organizations, and state and local
organizations for rapid and aggressive
reductions in GHG
emissions,555 556 557 558 we are also
requesting comment on a more stringent
set of GHG standards starting in MYs
2027 through 2032 than the proposed
standards and requesting that
commenters provide supporting
information regarding whether such
standards are feasible, appropriate, and
20
8
0
consistent with our CAA section 202
authority for a national program. We
specifically are seeking comment on
values that would reflect the level of
ZEV adoption used in California’s ACT
program (as shown in Table II–35),
values in between the proposed
standards and those that would reflect
ZEV adoption levels in ACT, and values
beyond those that would reflect ZEV
adoption levels in ACT, such as the 50–
60 percent ZEV adoption range
represented by the publicly stated goals
of several major OEMs for
2030.559 560 561 562 563 Under any of these
more stringent set of standards that we
are requesting comment on, we estimate
that the individual per-vehicle ZEV
technology and operating costs
reflecting these higher level of ZEV
technology adoption rates would be the
same as the individual per-vehicle ZEV
costs of the proposed standards, as
described in DRIA Chapter 2.8.2
because the costs were calculated as the
incremental cost between a ZEV and a
comparable ICE vehicle. Also under a
scenario with more stringent standards,
the total costs across the fleet would be
higher but the total emission reductions
would be greater. The MYs 2027
through 2032 and beyond emission
standards reflecting the ZEV adoptions
levels in California’s ACT that we are
requesting comment on can be found in
a memo to the docket.564
TABLE II–35—COMPARISON OF ZEV TECHNOLOGY ADOPTION RATES BETWEEN THE PROPOSED STANDARDS AND
CALIFORNIA ACT
MY 2027
(%)
MY 2028
(%)
MY 2029
(%)
MY 2030
(%)
MY 2032
and later
(%)
MY 2031
(%)
Proposed
Vocational ................................................
Short-Haul Tractors ..................................
Long-Haul Tractors ..................................
20
10
0
25
12
0
30
15
0
35
20
10
40
30
20
50
35
25
40
25
50
30
55
35
60
40
CARB ACT
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Vocational ................................................
Tractors ....................................................
20
15
555 ACEEE Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–2852–A1.
Referencing Catherine Ledna et al., ‘Decarbonizing
Medium-& Heavy-Duty On-Road Vehicles: ZeroEmission Vehicles Cost Analysis’ (NREL, March
2022), https://www.nrel.gov/docs/fy22osti/
82081.pdf.
556 EDF Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1265–A1,
pp.16–17.
557 ICCT Comments to the HD2027 NPRM. See
Docket Entry EPA–HQ–OAR–2019–0055–1211–A1,
p. 6.
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30
20
558 Moving Forward Network Comments to the
HD2027 NPRM. See Docket Entry EPA–HQ–OAR–
2019–0055–1277–A1, pp. 19–20.
559 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf.
560 Scania, ‘Scania’s Electrification Roadmap,’
Scania Group, November 24, 2021, https://
www.scania.com/group/en/home/newsroom/news/
2021/Scanias-electrification-roadmap.html.
561 AB Volvo, ‘Volvo Trucks Launches Electric
Truck with Longer Range,’ Volvo Group, January
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14, 2022, https://www.volvogroup.com/en/newsand-media/news/2022/jan/news-4158927.html.
562 Deborah Lockridge, ‘What Does Daimler Truck
Spin-off Mean for North America?,’ Trucking Info
(November 11, 2021). https://
www.truckinginfo.com/10155922/what-doesdaimler-truck-spin-off-mean-for-north-america.
563 Navistar presentation at the Advanced Clean
Transportation (ACT) Expo, Long Beach, CA (May
9–11, 2022).
564 U.S. EPA. ‘‘Memo to Docket: Potential Federal
Heavy-Duty GHG Emission Standards Reflecting
Technology Packages Including California’s ACT
Levels of ZEV Adoption.’’ March 2023. Docket
EPA–HQ–OAR–2022–0985.
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I. Small Businesses
EPA is proposing to make no changes
to (i.e., maintain the existing) MY 2027
and later GHG vehicle emission
standards for any heavy-duty
manufacturers that meet the ‘‘small
business’’ size criteria set by the Small
Business Administration.565 In other
words, these manufacturers would not
be subject to the proposed revised MY
2027 and new MYs 2028 through 2032
and later HD vehicle CO2 emission
standards but would remain subject to
the HD vehicle CO2 emission standards
previous set in HD GHG Phase 2.566
Additionally, we are proposing that
qualifying small business manufacturers
could continue to average within their
averaging sets for each 2027 and later
model year to achieve the applicable
standards; however, we are proposing to
restrict banking, trading, and the use of
advanced technology credit multipliers
for credits generated against the Phase 2
standards for qualifying manufacturers
that utilize this small business interim
provision.
We are also proposing that vehicle
manufacturers that qualify as a small
business may choose not to utilized the
proposed interim provision and
voluntarily certify their vehicles to the
Phase 3 standards without ABT
participation restrictions if they certify
all their vehicle families within a given
averaging set to the Phase 3 standards
for the given MY. In other words, small
businesses that opt into the Phase 3
program for a given MY for all their
vehicle families within a given
averaging set would be eligible for the
full ABT program for those vehicle
families for that MY, including
advanced technology credit multipliers.
While we are proposing not to apply the
proposed new standards for vehicles
produced by small businesses, we
propose that some small business
manufacturers would be subject to some
other new requirements we are
proposing in this rule related to ZEVs,
such as the battery durability monitor
and warranty provisions proposed in 40
CFR 1037.115(f) and described in
Section III.B.
EPA may consider new GHG emission
standards to apply for vehicles
produced by small business vehicle
565 See our proposed updates to the definition of
‘‘small business’’ in 40 CFR 1037.801.
566 See Section XI.C for our regulatory flexibility
assessment of the potential burden on small
businesses. See also Section III.C.2 for a description
of the proposed revisions to 40 CFR 1037.150(c)
that clarify the standards and proposed restrictions
on participation in the ABT program for MYs 2027
and later that we are proposing would apply for
qualifying small business vehicle manufacturers
that utilize the proposed interim provision.
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manufacturers as part of a future
regulatory action. At this time, we
believe the proposed new standards,
which were developed based on
technology packages using increasing
adoption of ZEVs, may create a
disproportionate burden on small
business vehicle manufacturers. As
described in DRIA Chapter 9, we have
identified a small number of
manufacturers that would appear to
qualify as small businesses under the
heavy-duty vehicle manufacturer
category. The majority of these small
businesses currently only produce
ZEVs, while one company currently
produces ICE vehicles.
Since there would only be a small
emissions benefit from applying the
proposed standards to the relatively low
production volume of ICE vehicles
produced by small businesses, we
believe that maintaining the existing HD
vehicle CO2 standards for these
companies at this time would have a
negligible impact on the overall GHG
emission reductions that the program
would otherwise achieve. We request
comment on our assessment that the
emission impact of this approach for
small businesses would be small
considering the number and type of
vehicle manufacturers described in
DRIA Chapter 9.
III. Compliance Provisions,
Flexibilities, and Test Procedures
In this proposed rule, we are retaining
the general compliance structure of
existing 40 CFR part 1037 with some
revisions described in this section.
Vehicle manufacturers would continue
to demonstrate that they meet emission
standards using emission modeling and
EPA’s Greenhouse gas Emissions Model
(GEM) and would use fuel-mapping or
powertrain test information from
procedures established and revised in
previous rulemakings.567
The existing HD GHG Phase 2
program provides flexibilities, primarily
through the HD GHG ABT program, that
facilitate compliance with the emission
standards. In addition to the general
ABT provisions, the current HD GHG
Phase 2 program also includes advanced
567 See the HD GHG Phase 2 rule (81 FR 73478,
October 25, 2016), the Heavy-Duty Engine and
Vehicle Technical Amendment rule (86 FR 34308,
June 29, 2021), and the HD2027 rule (88 FR 4296,
January 24, 2023). In this rulemaking, EPA is not
reopening any portion of our heavy-duty
compliance provisions, flexibilities, and testing
procedures, including those in 40 CFR parts 1037,
1036, and 1065, other than those specifically
identified in this document as the subject of our
proposal or a solicitation for comment. For
example, while EPA is proposing to revise discrete
elements of the HD ABT program, EPA is not
reopening the general availability of ABT.
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technology credit (including for BEVs
and FCEVs) and innovative technology
credit provisions. As described in
Section II of this preamble, the proposed
revisions to the existing MY 2027 Phase
2 GHG emission standards and new
proposed standards for MYs 2028
through 2032 are premised on
utilization of a variety of technologies,
including technologies that are
considered advanced technologies in
the existing HD GHG Phase 2 ABT
program. As also explained in Section
II, we consider averaging in supporting
the feasibility of the proposed Phase 3
GHG standards in this rule. Averaging
and other aspects of the ABT program
would also continue to help provide
additional flexibility for manufacturers
to make necessary technological
improvements and reduce the overall
cost of the program, without
compromising overall environmental
objectives.
We are not proposing any changes to
and are not reopening the use of credits
from MY 2027 and earlier in MY 2027
and later. In other words, credits earned
in HD GHG Phase 2 would be allowed
to carry over into Phase 3, subject to the
existing credit life limitation of five
years, as described in 40 CFR
1037.740(c). Similarly, we are not
proposing any revisions to and are not
reopening the allowance that provides
manufacturers three years to resolve
credit deficits, as detailed in 40 CFR
1037.745.
In Section III.A, we describe the
general ABT program and how we
expect manufacturers to apply ABT to
meet the proposed standards. In Section
III.A, we propose a revision to the
definition of ‘‘U.S.-directed production
volume’’ to clarify consideration in this
rulemaking of nationwide production
volumes, including those that may in
the future be certified to different state
emission standards.568 This proposed
revision is intended to address a
potential interaction between the
existing definition of U.S.-directed
production volume and the ACT
regulation for HD vehicles.569 Section
III.A.2 includes proposed updates to
advanced technology credit provisions
after considering comments received on
the HD2027 NPRM (87 FR 17592, March
28, 2022). In Section III.A.3, we request
comment on other flexibilities,
including how credits could be used
across averaging sets. In Section III.B,
568 The proposed definition update includes
corresponding proposed clarifications throughout
the HD engine and vehicle regulations of 40 CFR
parts 1036 and 1037, respectively.
569 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023.
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we propose durability monitoring
requirements for BEVs and PHEVs,
clarify existing warranty requirements
for PHEVs, and propose warranty
requirements for BEVs and FCEVs.
Finally, in Section III.C, we propose
additional clarifying and editorial
amendments to the HD highway engine
provisions of 40 CFR part 1036, the HD
vehicle provisions of 40 CFR part 1037
and the test procedures for HD engines
in 40 CFR part 1065.
A. Proposed Revisions to the ABT
Program
As noted in the introduction to this
section, we are generally retaining the
HD GHG Phase 2 ABT program that
allows for emission credits to be
averaged, banked, or traded within each
of the averaging sets specified in 40 CFR
1037.740(a). To generate credits, a
vehicle manufacturer must reduce CO2
emission levels below the level of the
standard for one or more vehicle
families. The manufacturer can use
those credits to offset higher emission
levels from vehicles in the same
averaging set such that the averaging set
meets the standards on ‘‘average’’,
‘‘bank’’ the credits for later use, or
‘‘trade’’ the credits to another
manufacturer. The credits are calculated
based on the production volume of the
vehicles in the averaging set and their
respective emission levels relative to the
standard. To incentivize the research
and development of the new
technologies, the current HD vehicle
ABT program also includes credit
multipliers for certain advanced
technologies. In this Section III.A, we
describe proposed changes to two
aspects of the ABT program: the
applicable production volume for use in
calculating ABT credits and credit
multipliers for advanced technologies.
We also request comment on other
potential flexibilities we could consider
adopting in this rule.
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1. U.S-Directed Production Volume
As described in Section II, the
proposed Phase 3 GHG vehicle
standards include consideration of
nationwide production volumes.
Correspondingly, we are proposing that
the GHG ABT program for compliance
with those standards would be
applicable to the same production
volumes considered in setting the
standards. In Section II, we also request
comment on how to account for ZEV
adoption rates that would result from
compliance with the California ACT
program in setting the proposed GHG
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standards.570 The existing HD GHG
Phase 2 vehicle program has certain
provisions (based off the regulatory
definition of ‘‘U.S.-directed production
volume’’) that would exclude
production volumes that are certified to
different state emission standards,
including exclusion from participation
in ABT. To address this potential
interaction between the existing
definition of U.S.-directed production
volume and the ACT regulation for HD
vehicles, we propose a revision to the
definition of ‘‘U.S.-directed production
volume.’’ The proposed revision would
clarify that in this rulemaking we
consider nationwide production
volumes, including those that may in
the future be certified to different state
emission standards, within the
proposed Phase 3 standards described
in Section II and within the ABT GHG
vehicle program.
The exclusion of engines and vehicles
certified to different state standards in
the existing definitions have not
impacted the HD GHG program under
parts 1036 and 1037 to-date because
California has adopted GHG emission
standards for HD engines and vehicles
that align with the Federal HD GHG
Phase 1 and Phase 2 standards.571 572 As
discussed in Section I, the ACT
regulation requires manufacturers to
produce and sell increasing numbers of
zero-emission medium- and heavy-duty
highway vehicles. Given the distinct
difference between what is required
under the ACT compared to the existing
Phase 2 vehicle program and the HD
vehicle GHG standards proposed under
this rulemaking, we are considering the
impact of the ACT on the HD GHG
vehicle program. To that end, we are
proposing that the revision to this
definition revision apply starting with
MY 2024 to provide consistent
treatment of any production volumes
certified to ACT. We request comment
on the MY 2024 start and whether other
options should be considered for
transitioning to this new definition.
The existing definition of ‘‘U.S.directed production volume’’ for HD
vehicles explicitly does not include
570 EPA
granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023.
571 California Air Resources Board. ‘‘Final
Regulation Order for Phase 1 Greenhouse Gas
Regulations.’’ December 5, 2014, available at
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2013/hdghg2013/hdghgfrot13.pdf.
572 California Air Resources Board. ‘‘Final
Regulation Order for Phase 2 Greenhouse Gas
Regulations and Tractor-Trailer GHG Regulations.’’
April 1, 2019, available at https://ww2.arb.ca.gov/
sites/default/files/barcu/regact/2018/phase2/
finalatta.pdf?_ga=2.122416523.1825165293.
1663635303-1124543041.1635770745.
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26009
vehicles certified to state emission
standards that are different than the
emission standards in 40 CFR part
1037.573 The term U.S.-directed
production volume is key in how the
existing regulations direct
manufacturers to calculate credits in the
HD vehicle ABT GHG program, in 40
CFR part 1037, subpart H. In the
existing regulations, vehicle production
volumes that are excluded from that
term’s definition cannot generate
credits. EPA first excluded such
production volumes from participation
in HD ABT in a 1990 rulemaking on
NOX emissions from HD engines. In the
preamble to that rulemaking, which
established NOX and PM banking and
trading and expanded the averaging
program for HD engines, EPA explained
that HDEs certified under the California
emission control program are excluded
from this program.574 We further
explained that HDEs certified under the
California emission control program
may not generate credits for use by
Federal engines (49-state) or use credits
generated by Federal engines.575 In
addition, we explained that while fiftystate engines participating in the
Federal banking, trading or averaging
programs may be sold in California if
their FELs are lower than the applicable
emission standard, California engines
may not generate credits for the Federal
program.576
In 2001, in a rulemaking that
established criteria pollutant emission
standards phasing in to MY 2010 and
later for HD engines and vehicles, EPA
adopted a definition for ‘‘U.S.-directed
production.’’ The adopted definition
included similar regulatory language to
our existing part 1037 definition.577
Regarding compliance with the MY
2007–2009 emission standards phase-in
requirements, which were based on
percentage of production volumes
meeting the MY 2010 and later
standards, EPA again noted our intent to
exclude production volumes certified to
different state standards. We explained
that we were clarifying that this phasein excludes California complete heavy573 An equivalent definition of ‘‘U.S-directed
production volume’’ can be found at 40 CFR
1036.801 for HD engines.
574 55 FR 30592, July 26, 1990.
575 55 FR 30592, July 26, 1990.
576 55 FR 30592, July 26, 1990.
577 66 FR 5002, 5159, January 18, 2001 (amending
40 CFR 86.004–2 to add a definition for ‘‘U.S.directed production’’ where ‘‘U.S.-directed
production means the engines and/or vehicles (as
applicable) produced by a manufacturer for which
the manufacturer has reasonable assurance that sale
was or will be made to ultimate purchasers in the
United States, excluding engines and/or vehicles
that are certified to state emission standards
different than the emission standards in [40 CFR
part 86].’’).
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duty vehicles, which are already
required to be certified to the California
emission standards.578 We further
explained that the phase-in also
excludes vehicles sold in any state that
has adopted California emission
standards for complete heavy-duty
vehicles.579 We also explained that it
would be inappropriate to allow
manufacturers to ‘‘double-count’’ the
vehicles by allowing them to count
those vehicles both as part of their
compliance with this phase-in and for
compliance with California
requirements.580 In addition, we noted
that we would handle HD engines
similarly if California were to adopt
different emission standards than those
being established by this rule.581
In the HD GHG Phase 1 rule, EPA
adopted the existing definitions of U.S.directed production volume in 40 CFR
1036.801 and 1037.801, which were
unchanged in HD GHG Phase 2 and
currently apply for HD engines and
vehicles.582
We are proposing a revision to the
definition of ‘‘U.S.-directed production
volume’’ in 40 CFR 1037.801 such that
it represents the total nationwide
production volumes, including vehicles
certified to state emission standards that
are different than the emission
standards of 40 CFR part 1037. As
described in Section II, the proposed
standards are feasible and appropriate
based on nationwide adoption rates of
technology packages that include
adoption of ZEV technologies.
Manufacturers may be motivated to
produce ZEVs by this rule and in
response to other initiatives and we
want to support any U.S. adoption of
these technologies by allowing
manufacturers to account for their
nationwide production volumes to
comply with the proposed standards.
We recognize that the existing definition
of ‘‘U.S.-directed production volume’’
may cause challenges to manufacturer
plans, including long-term compliance
planning, due to the uncertainty
surrounding whether additional states
may adopt more stringent standards in
the future.
Given that EPA granted the ACT rule
waiver requested by California under
CAA section 209(b) on March 30, 2023,
the existing definition of U.S.-directed
production volume excludes all vehicles
(ICE vehicles and ZEVs) certified to
meet the ACT program in California and
578 66
FR at 5043, January 18, 2001.
FR at 5043, January 18, 2001.
580 66 FR at 5043, January 18, 2001.
581 66 FR at 5043, January 18, 2001.
582 76 FR 57397 and 57431, September 15, 2011;
81 FR 74043 and 74123, October 25, 2016.
579 66
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any other states that adopt the ACT.583
In this scenario, the ZEV production
volumes destined for California and
other states would correspond to a large
portion of the nationwide production on
which the proposed EPA standards are
based, and it would be challenging for
vehicle manufacturers to comply with
the proposed standards if they could not
account for those ZEVs. As described in
Section II, we request comment on how
to account for ZEV adoption rates that
would result from compliance with the
California ACT program in setting the
proposed GHG standards. If we were to
finalize standards that account for the
ACT program, we expect to similarly
base the final standards on nationwide
production volumes that would
continue to rely on our proposal to
revise the current definition of U.S.directed production volume to include
nationwide production.
We are proposing this revision
consistent with our intended approach
of considering such production volumes
in setting the stringency of the Phase 3
standards in this rulemaking, as well as
allowing inclusion of such production
volumes in demonstrating compliance
with the standards through participation
in the HD vehicle ABT GHG program.
We believe this approach would address
both the potential ‘‘double counting’’
issue EPA previously articulated in past
HD rulemakings and the potential
difficulties surrounding manufacturers’
long-term compliance planning (due to
the uncertainty surrounding whether
additional states may adopt the
California ACT program in the future)
we recognize in the context of this
rulemaking. Our proposed revision
would also align with the approach in
the LD GHG program.
In addition to this proposed revision
to the definition of ‘‘U.S.-directed
production volume’’, we are proposing
additional conforming amendments
throughout 40 CFR part 1037 to
streamline references to the revised
definition; see Section III.E.3 for further
discussion on one of those proposed
revisions.584
583 As of September 2022, the following states
have adopted California’s ACT program:
Massachusetts, New York, New Jersey, Washington,
and Oregon.
584 As discussed in Section III.C.3, we are also
proposing a similar update to the heavy-duty
highway engine definition of ‘‘U.S.-directed
production volume’’ in 40 CFR 1036.801, with
additional proposed updates where it is necessary
to continue to exclude production volumes certified
to different standards (i.e., the ABT program for
highway heavy-duty engines).
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2. Advanced Technology Credits for CO2
Emissions
In HD GHG Phase 1, we provided
advanced technology credits for hybrid
powertrains, Rankine cycle waste heat
recovery systems on engines, all-electric
vehicles, and fuel cell electric vehicles
to promote the implementation of
advanced technologies that were not
included in our technical basis of the
feasibility of the Phase 1 emission
standards (see 40 CFR 86.1819–14(k)(7),
1036.150(h), and 1037.150(p)). The HD
GHG Phase 2 CO2 emission standards
that followed Phase 1 were premised on
the use of mild hybrid powertrains in
vocational vehicles and waste heat
recovery systems in a subset of the
engines and tractors, and we removed
mild hybrid powertrains and waste heat
recovery systems as options for
advanced technology credits. At the
time of the HD GHG Phase 2 final rule,
we believed the HD GHG Phase 2
standards themselves provided
sufficient incentive to develop those
specific technologies. However, none of
the HD GHG Phase 2 standards were
based on projected utilization of the
other even more-advanced Phase 1
advanced credit technologies (e.g., plugin hybrid electric vehicles, all-electric
vehicles, and fuel cell electric vehicles).
For HD GHG Phase 2, EPA promulgated
advanced technology credit multipliers
through MY 2027, as shown in Table
III–1 (see also 40 CFR 1037.150(p)).
TABLE III–1—ADVANCED TECHNOLOGY
MULTIPLIERS IN EXISTING HD GHG
PHASE 2 FOR MYS 2021 THROUGH
2027
Technology
Plug-in hybrid electric vehicles ....................................
All-electric vehicles ...............
Fuel cell electric vehicles .....
Multiplier
3.5
4.5
5.5
As stated in the HD GHG Phase 2
rulemaking, our intention with these
multipliers was to create a meaningful
incentive for those manufacturers
considering developing and applying
these qualifying advanced technologies
into their vehicles. The multipliers
under the existing program are
consistent with values recommended by
CARB in their HD GHG Phase 2
comments.585 CARB’s values were based
on a cost analysis that compared the
costs of these advanced technologies to
costs of other GHG-reducing
585 Letter from Michael Carter, CARB, to Gina
McCarthy, Administrator, EPA and Mark Rosekind,
Administrator, NHTSA, June 16, 2016. EPA Docket
ID EPA–HQ–OAR–2014–0827_attachment 2.
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technologies. CARB’s cost analysis
showed that multipliers in the range we
ultimately promulgated as part of the
HD GHG Phase 2 final rule would make
these advanced technologies more
competitive with the other GHGreducing technologies and could allow
manufacturers to more easily generate a
viable business case to develop these
advanced technologies for HD vehicles
and bring them to market at a
competitive price.
In establishing the multipliers in the
HD GHG Phase 2 final rule, we also
considered the tendency of the HD
sector to lag behind the light-duty sector
in the adoption of a number of advanced
technologies. There are many possible
reasons for this, such as:
• HD vehicles are more expensive
than light-duty vehicles, which makes it
a greater monetary risk for purchasers to
invest in new technologies.
• These vehicles are primarily work
vehicles, which makes predictable
reliability and versatility important.
• Sales volumes are much lower for
HD vehicles, especially for specialized
vehicles.
At the time of the HD GHG Phase 2
rulemaking, we concluded that as a
result of factors such as these, and the
fact that adoption rates for the
aforementioned advanced technologies
in HD vehicles were essentially nonexistent in 2016, it seemed unlikely that
market adoption of these advanced
technologies would grow significantly
within the next decade without
additional incentives.
As we stated in the HD GHG Phase 2
final rule preamble, our determination
that it was appropriate to provide large
multipliers for these advanced
technologies, at least in the short term,
was because these advanced
technologies have the potential to lead
to very large reductions in GHG
emissions and fuel consumption, and
advance technology development
substantially in the long term. However,
because the credit multipliers are so
large, we also stated that they should
not necessarily be made available
indefinitely. Therefore, they were
included in the HD GHG Phase 2 final
rule as an interim program continuing
only through MY 2027.
The HD GHG Phase 2 CO2 emission
credits for HD vehicles are calculated
according to the existing regulations at
40 CFR 1037.705. For BEVs and FCEVs,
the family emission level (FEL) value for
CO2 emissions is deemed to be 0 grams
per ton-mile.586 Under those existing
regulations, the CO2 emission credits for
HD BEVs built between MY 2021 and
MY 2027 would be multiplied by 4.5 (or
the values shown in Table III–1 for the
other technologies) and, for discussion
purposes, can be visualized as split into
two shares.587 The first share of credits
would come from the reduction in CO2
emissions realized by the environment
from a BEV that is not emitting from the
tailpipe, represented by the first 1.0
portion of the multiplier. Therefore,
each BEV or FCEV produced receives
emission credits equivalent to the level
of the standard, even before taking into
account the effect of a multiplier. The
second share of credits does not
represent CO2 emission reductions
realized in the real world but rather, as
just explained, was established by EPA
to help incentivize a nascent market: in
this example, the emission credits for
BEVs built between MY 2021 and 2027
receive an advanced technology credit
multiplier of 4.5, i.e., an additional 3.5
multiple of the standard.
The HD GHG Phase 2 advanced
technology credit multipliers represent
a tradeoff between incentivizing new
advanced technologies that could have
significant benefits well beyond what is
required under the standards and
providing credits that do not reflect real
world reductions in emissions, which
could allow higher emissions from
credit-using engines and vehicles. At
low adoption levels, we believe the
balance between the benefits of
encouraging additional electrification as
compared to any negative emissions
impacts of multipliers would be
appropriate and would justify
maintaining the current advanced
technology multipliers. At the time we
finalized the HD GHG Phase 2 program
in 2016, we balanced these factors based
on our estimate that there would be very
little market penetration of ZEVs in the
heavy-duty market in the MY 2021 to
MY 2027 timeframe, during which the
advanced technology credit multipliers
would be in effect. Additionally, the
primary technology packages in our
technical basis of the feasibility of the
HD GHG Phase 2 standards did not
include any ZEVs.
In our assessment conducted during
the development of HD GHG Phase 2,
we found only one manufacturer had
certified HD BEVs through MY 2016,
and we projected ‘‘limited adoption of
all-electric vehicles into the market’’ for
MYs 2021 through 2027.588 However, as
discussed in Section II, we are now in
a transitional period where
manufacturers are actively increasing
their PHEV, BEV, and FCEV HD vehicle
offerings and are being further
587 40
586 40
CFR 1037.150(f).
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FR 75300 (October 25, 2016).
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supported through the IRA tax credits,
and we expect this growth to continue
through the remaining timeframe for the
HD GHG Phase 2 program and into the
proposed Phase 3 program timeframe.
i. Advanced Technology Credits in the
HD2027 NPRM
We requested comment in the
HD2027 NPRM on three approaches that
would reduce the number of incentive
credits produced by battery electric
vehicles in the MY 2024 through MY
2027 timeframe. The three approaches
considered in the HD2027 NPRM (87 FR
17605–17606) are summarized as
follows:
• Approach 1: The MY 2024 through
MY 2027 ZEVs certified in California to
meet the ACT program would not
receive the advanced technology credit
multipliers that currently exist.
• Approach 2: The advanced
technology credits generated by a
manufacturer would be capped on an
annual basis. Advanced technology
credits generated for EVs on an annual
basis that are under a cap would remain
unchanged. Above the cap, the
multipliers would effectively be a value
of 1.0; in other words, after a
manufacturer reaches their cap in any
model year, the multipliers would no
longer be available and would have no
additional effect on credit calculations.
This advanced technology credit cap
approach would limit the credits
generated by a manufacturer’s use of the
advanced technology credit multipliers
for battery electric vehicles to the
following levels of CO2 per
manufacturer per model year beginning
in MY 2024 and extending through MY
2027:
Æ Light Heavy-Duty Vehicle
Averaging Set: 42,000 Mg CO2.
Æ Medium Heavy-Duty Vehicle
Averaging Set: 75,000 Mg CO2.
Æ Heavy Heavy-Duty Vehicle
Averaging Set: 325,000 Mg CO2.
• Approach 3: Phase-out the
magnitude of the credit multipliers from
MY 2024 through MY 2027.
EPA received a number of comments
on the HD2027 NPRM in response to
our request for comment on potential
approaches to modify the existing
Advanced Technology Credit
multipliers. The entire set of comments
may be found in Section 28 of EPA’s
Response to Comments Document for
the HD2027 final rule.589
Several commenters supported
Approach 1, sometimes along with
589 U.S. EPA, ‘‘Control of Air Pollution from New
Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards—Response to Comments.’’ Section 28.
Docket EPA–HQ–OAR–2019–0055.
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Approach 3. A common theme in these
comments was that the incentive
provided by the credit multipliers is not
warranted for ZEVs that will already be
produced due to state requirements.
Some commenters also stated that the
credit multipliers should not apply to
any state that adopts ACT and should
not be limited to California. Another
commenter suggested an alternate
approach whereby credit multipliers
would not be provided for the vehicle
segments targeted in the HD2027 NPRM
for early adoption, such as some
vocational vehicles and short-haul
tractors, but remain available for other
vehicle segments.
Other commenters raised concerns
with Approach 1. For example, some
commenters stated that the states’
adoption of the ACT rule is
unpredictable and may have a negative
impact on manufacturer and supplier
development plans. Another commenter
raised a concern that eliminating the
credit multipliers for ZEVs sold in
California could impact manufacturers
unequally and have a greater negative
impact on manufacturers with more
ZEV sales in California. One commenter
suggested that this approach would
create a disincentive for additional
states to adopt ACT. Another
commenter recommended that if EPA
selects this approach, then EPA should
consider allowing credit multipliers for
ZEVs sold in California that exceed the
ACT sales requirements. Finally,
another commenter raised concerns
about the implementation of this
approach because it is difficult for
manufacturers to account for sales by
state in the heavy-duty market.
No commenters expressed support for
Approach 2, and some commenters
raised potential concerns with this
approach. For example, a commenter
stated this approach creates a
disincentive to produce ZEVs above the
annual cap and would negatively
impact manufacturers that sell a greater
number of ZEVs by making a smaller
percentage of their fleet eligible for the
credit multipliers. One commenter
questioned whether a cap approach,
while an incentive to small
manufacturers and low volume ZEV
producers, would incentivize additional
sales beyond what is required by the
states that adopt ACT under CAA
section 177.
Many commenters supported a phase
out or elimination of the credit
multipliers, similar to Approach 3. A
theme among many of the commenters
was to phase out the credit multiplier as
soon as practicable, with some
commenters suggesting the phase out
begin as early as MY 2024. On the other
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hand, two commenters suggested an
annual decrease in the value of the
credit multipliers to prevent a potential
pre-buy situation. Common themes
expressed by the commenters
supporting an elimination of phase-out
of the credit multipliers included stating
that the credit multipliers are no longer
necessary because of state requirements
and that the credit multipliers reduce
the overall effectiveness of the HD GHG
regulatory program. One concern raised
by a commenter is that the existing
credit multipliers would slow the
progression of CO2-reducing
technologies for HD vehicles that are
powered by ICE. Some commenters
suggested removing the credit
multipliers for all of the existing
technologies qualifying for advanced
technology credits, including PHEVs,
BEVs, and FCEVs.
Some of the commenters opposed any
changes to the existing credit
multipliers. Some commenters
indicated that the credit multipliers are
necessary to justify the research and
development of these new and highercost technologies into new markets.
They also noted that the credit
multipliers provide a role in the overall
suite of incentives for ZEVs and
infrastructure in the HD market. Two
commenters suggested extending the
credit multipliers beyond MY 2027 to
allow the HD ZEV market to further
mature.
ii. Proposed Changes to the Advanced
Technology Credit Multipliers
While we did anticipate some growth
in electrification would occur due to the
credit incentives in the HD GHG Phase
2 final rule when we finalized the rule,
we did not expect the level of
innovation since observed, the IRA or
BIL incentives, or that California would
adopt the ACT rule at the same time
these advanced technology multipliers
were in effect. Based on this new
information, we believe the existing
advanced technology multiplier credit
levels may no longer be appropriate for
maintaining the balance between
encouraging manufacturers to continue
to invest in new advanced technologies
over the long term and potential
emissions increases in the short term.
We believe that, if left as is, the
multiplier credits could allow for
backsliding of emission reductions
expected from ICE vehicles for some
manufacturers in the near term (i.e., the
generation of excess credits which could
delay the introduction of technology in
the near or mid-term) as sales of
advanced technology vehicles which
can generate the incentive credit
continue to increase.
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After considering the comments
received on the HD2027 NPRM and the
proposed HD vehicle Phase 3 GHG
standards and program described in
Section II and this Section III, we
propose to phase-out the advanced
technology credit multipliers for HD
plug-in hybrid and battery electric
vehicles after MY 2026, one year earlier
than what is currently in the
regulations. We weighed several
considerations in proposing this one
year earlier phase-out. We do not
foresee a need for any advanced
technology credits for these
technologies to extend past MY 2026.
We recognize the need to continue to
incentivize the development of BEVs in
the near-term model years, prior to MY
2027. However, our analysis of the
feasibility of PHEVs and BEVs described
in Section II indicates there is sufficient
incentive for those technologies for the
model years we are proposing HD
vehicle Phase 3 GHG emission
standards (MYs 2027 through 2032). We
note that we did not rely on credits
generated from credit multipliers in
developing the proposed HD vehicle
Phase 3 emission standards, however
this flexibility further supports the
feasibility of the proposed Phase 3
emission standards.
As explained earlier in this
subsection, we recognize that a portion
of the credits that result from an
advanced technology multiplier do not
represent CO2 emission reductions
realized in the real world and thus
should be carefully balanced amongst
the other considerations. We considered
that we are proposing to revise the
existing regulatory definition of ‘‘U.S.directed production volume,’’ as
discussed in Section II, such that
vehicle production volumes sold in
California or Section 177 states that
adopt ACT would be included in the
ABT credit calculations and continuing
to allow these multipliers could create
a large bank of credits with the potential
to delay the real world benefits of the
proposed program. We also took into
consideration that the IRA and other
new incentives are available that could
help reduce the role of the multipliers.
Finally, we recognize that some
manufacturers’ long-term product plans
for PHEV or BEV technologies may have
extended to model years closer to MY
2027 when the HD GHG Phase 2
standards were at their most stringent
levels. We are proposing a MY 2026
phase-out for PHEV and BEV credit
multipliers, in part, because it is
expected to have a lesser impact on
current manufacturer product plans. We
request comment on our proposed MY
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2026 phase-out date or whether we
should consider other approaches to
account for ACT or incentive programs.
We propose to revise existing 40 CFR
1037.150(p) to reflect the proposed
phase-out of advanced technology credit
multipliers for BEVs and PHEVs and
clarify the applicable standards for
calculating credits. We propose parallel
edits to existing 40 CFR 1037.615(a) to
clarify when the advanced technology
credit calculations described in that
section would apply. We are not
proposing any changes to the existing
advanced technology multipliers for
fuel cell electric vehicles, which
continue to apply through MY 2027. We
believe it is still appropriate to
incentivize fuel cell technology, because
it has been slower to develop in the HD
market, as discussed in Section II.D, but
request comment on this approach for
FCEVs. Additionally, we are retaining
and are not reopening the existing offcycle provisions of 40 CFR 1037.610
that allow manufacturers to request
approval for other ‘‘innovative’’
technologies not reflected in GEM.
3. Other Potential HD CO2 Emission
Credit Flexibilities
We recognize that the proposed HD
GHG Phase 3 standards would require
significant investments from
manufacturers to reduce GHG emissions
from HD vehicles. We request comment
on the potential need for additional
flexibilities to assist manufacturers in
the implementation of Phase 3.
Specifically, we request comment on
providing the flexibility for
manufacturers to use advanced
technology credits across averaging sets,
subject to a cap. In HD GHG Phase 1, the
advanced technology credits earned a
multiplier of 1.5 and they could be
applied to any heavy-duty engine or
vehicle averaging set.590 To prevent
market distortions, we capped the
amount of advanced credits that could
be brought into any service class in any
model year of the Phase 1 program at
60,000 Mg. In HD GHG Phase 2, we
adopted larger advanced technology
multipliers, and we discontinued the
allowance for advanced technology
credits to be used across averaging sets.
The primary reason for the averaging set
restriction was to reduce the risk of
market distortions if we allowed the use
of the credits across averaging sets
combined with the larger credit
multipliers.591 As discussed in Section
III.A.2, we are proposing to phase-out
the advanced technology credit
multipliers for HD plug-in hybrid and
590 40
591 81
CFR 1036.740(c) and 1037.740(b).
FR 73498 (October 25, 2016).
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battery electric vehicles after MY 2026,
one year earlier than what is currently
in the regulations, and under the
existing regulations the fuel cell electric
vehicle advanced technology
multipliers end after MY 2027.
We recognize the proposed Phase 3
standards would require the increasing
use of CO2 emission reducing
technologies. During this proposed
Phase 3 standards transition, we are
considering whether additional
flexibilities in the Phase 3 program
emissions credit ABT program design
may be warranted, similar to the Phase
1 provision which allowed credits
generated from advanced technologies
to be transferred across averaging sets.
We request comment on including a
similar flexibility for the Phase 3
program. For example, we may consider
an interim provision that would allow
vehicle CO2 credits generated by PHEVs,
BEVs, and FCEVs to be used across
vehicle averaging sets or possibly across
engine averaging sets as specified in 40
CFR part 1036. If we were to adopt such
an allowance, we would expect this
flexibility to begin with MY 2027 and
end after the last year the new Phase 3
standards phase-in, which as proposed
is after MY 2032. We also would expect
to restrict the number of credits (i.e., the
quantity of CO2 megagrams) that could
be transferred from one averaging set to
another in a given model year,
considering the level of the standards
and our goal to prevent market
distortions, and we request comment on
what an appropriate restriction should
be. We also may set different credits
transfer cap values per averaging set that
vary across the various averaging sets.
We request comment on the model years
and credit volume limitations we
should consider for such an allowance
for PHEV, BEV, and FCEV generated
CO2 credits. We also request comment
on extending this flexibility with some
restrictions to the PHEV, BEV, and
FCEV generated CO2 credits from
chassis-certified Class 2b and Class 3
vehicles. More specifically, we request
comment on allowing PHEV, BEV, and
FCEV generated CO2 credits in the
chassis-certified Class 2b and Class 3
vehicle category (under the part 86,
subpart S ABT program for MYs 2027–
2032) to be used in the HD Phase 3 light
heavy-duty and medium heavy-duty
vehicle averaging sets (under the part
1037 ABT program for MYs 2027–2032)
in a single direction of movement (i.e.,
not into the heavy heavy-duty averaging
set, and not allowing HD Phase 3 credits
from light heavy-duty and medium
heavy-duty averaging sets to be
transferred into the chassis-certified
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Class 2b and Class 3 vehicle category),
and similarly request comment on what
appropriate restrictions to MYs and
credit volume limitations should be
included if adopted.
We also request comment on
considerations of a program similar to
CARB’s credit program included in their
ACT rule. As briefly described in DRIA
Chapter 1.3.3, CARB would apply
vehicle class-specific ‘‘weight class
modifiers’’ (i.e., credit multipliers) for
credits generated by ZEVs and near
zero-emission vehicles to further
incentivize adoption electrification of
the larger vehicle classes.592
B. Battery Durability Monitoring and
Warranty Requirements
This section describes our proposal to
adopt battery durability monitoring
requirements for BEVs and PHEVs and
to clarify how warranty applies for
several advanced technologies. Our
proposal is motivated by three factors:
BEV, PHEV, and FCEV are playing an
increasing role in vehicle
manufacturers’ compliance strategies to
control GHG emissions from HD
vehicles; BEV, PHEV, and FCEV
durability and reliability are important
to achieving the GHG emissions
reductions projected by this proposed
program; and that GHG emissions credit
calculations are based on mileage over
a vehicle’s full useful life.
1. Battery and Plug-In Hybrid Electric
Vehicle Durability Monitoring
Requirements
EPA’s HD vehicle GHG emission
standards apply for the regulatory useful
life of the HD vehicle, consistent with
CAA section 202(a)(1) (‘‘Such standards
shall be applicable to such vehicles and
engines for their useful life’’).
Accordingly, EPA has historically
required manufacturers to demonstrate
the durability of their emission control
systems on vehicles, including under
our CAA section 206 authority. Without
durability demonstration requirements,
EPA would not be able to assess
whether vehicles originally
manufactured in compliance with
relevant emissions standards would
remain compliant over the course of
their useful life. Recognizing that BEVs,
PHEVs, and FCEVs are playing an
increasing role in manufacturers’
compliance strategies, and that emission
credit calculations are based on mileage
over a vehicle’s useful life, the same
logic applies to BEV, PHEV, and FCEV
592 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Section 1963.2. Filed March 15, 2021.
Available at: https://ww2.arb.ca.gov/sites/default/
files/barcu/regact/2019/act2019/fro2.pdf.
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durability. Under 40 CFR part 1037,
subpart H, credits are calculated by
determining the family emission limit
(FEL) each vehicle achieves beyond the
standard and multiplying that by the
production volume and a useful life
mileage attributed to each vehicle
subfamily.593 Having a useful life
mileage figure for each vehicle
subfamily is integral to calculating the
credits attributable to that vehicle,
whether those credits are used for
calculating compliance through
averaging, or for banking or trading.
Compliance with standards through
averaging depends on all vehicles in the
regulatory subcategory, or averaging set,
achieving their certified level of
emission performance throughout their
useful life. As explained in Section II
and this Section III, EPA also anticipates
most if not all manufacturers would
include the averaging of credits
generated by BEVs and FCEVs as part of
their compliance strategies for the
proposed standards, thus this is a
particular concern given that the
calculation of credits for averaging (as
well as banking and trading) depend on
the battery and emission performance
being maintained for the full useful life
of the vehicle. Thus, without durability
requirements applicable to such
vehicles guaranteeing certain
performance over the entire useful life
of the vehicles, EPA is mindful that
there would not be a guarantee that a
manufacturer’s overall compliance with
emission standards would continue
throughout that useful life. Similarly,
EPA is concerned that we would not
have assurance that the proposed
standards would achieve the emission
reductions projected by this proposed
program. Therefore, EPA is proposing
new battery durability monitoring for
HD BEVs and PHEVs as a first key step
towards this end, beginning with MY
2027.
As implemented by light-duty vehicle
manufacturers in current BEVs and
PHEVs, lithium-ion battery technology
has been shown to be effective and
durable for use and we expect that this
will also be the case for HD BEVs and
PHEVs. It is also well known that the
energy capacity of a battery will
naturally degrade to some degree with
time and usage, resulting in a reduction
in driving range as the vehicle ages. The
degree of this energy capacity and range
reduction effectively becomes an issue
of durability if it negatively affects how
the vehicle can be used, or how many
593 The
useful life values for the HD vehicle
standards are located in 40 CFR 1037.105(e) and
1037.106(e).
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miles it is likely to be driven during its
useful life.
Vehicle and engine manufacturers are
currently required to account for
potential battery degradation in both
hybrid and plug-in hybrid vehicles that
could result in an increase in CO2
emissions (see, e.g., existing 40 CFR
1037.241(c) and 1036.241(c)).594 In
addition, engine manufacturers are
required to demonstrate compliance
with criteria pollutant standards using
fully aged emission control components
that represent expected degradation
during useful life (see, e.g., 40 CFR
1036.235(a)(2) and 1036.240). EPA is
applying this well-established approach
to the durability of BEV and PHEV
batteries by proposing to require battery
durability monitoring.
The proposed requirements are
similar to the battery durability monitor
regulation framework developed by the
United Nations Economic Commission
for Europe (UN ECE) and adopted in
2022 as Global Technical Regulation
(GTR) No. 22. The proposed durability
monitoring regulations would require
manufacturers of BEVs and PHEVs to
develop and implement an on-board
state-of-certified-energy (SOCE) monitor
that can be read by the vehicle user. We
are not proposing durability monitoring
requirements for FCEVs at this time
because the technology is currently still
emerging in heavy-duty vehicle
applications and we are still learning
what the appropriate metric might be for
quantifying FCEV performance.
The importance of battery durability
in the context of zero-emission and
hybrid vehicles, such as BEVs and
PHEVs, is well documented and has
been cited by several authorities in
recent years. In their 2021 report, the
National Academies of Science (NAS)
identified battery durability as an
important issue with the rise of
electrification. Among the findings
outlined in that report, NAS noted that:
‘‘battery capacity degradation is
considered a barrier for market
penetration of BEVs,’’ and that
‘‘[knowledge of] real-world battery
lifetime could have implications on
R&D priorities, warranty provision,
consumer confidence and acceptance,
and role of electrification in fuel
economy policy.’’ NAS also noted that
‘‘life prediction guides battery sizing,
warranty, and resale value [and
repurposing and recycling]’’, and
discussed at length the complexities of
state of health (SOH) estimation, life594 As discussed in Section III.C.3.vi, we are
proposing to remove 40 CFR 1037.241(b), which if
finalized, 40 CFR 1037.241(c) will be moved to 40
CFR 1037.241(b).
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cycle prediction, and testing for battery
degradation.595
Several rulemaking bodies have also
recognized the importance of battery
durability in a world with rapidly
increasing numbers of zero-emission
vehicles. In 2015, the United Nations
Economic Commission for Europe began
studying the need for a GTR governing
battery durability in light-duty vehicles.
In 2021, it finalized United Nations GTR
No. 22, ‘‘In-Vehicle Battery Durability
for Electrified Vehicles,’’ 596 which
provides a regulatory structure for
contracting parties to set standards for
battery durability in light-duty BEVs
and PHEVs. In 2022, the United Nations
Economic Commission for Europe began
studying the need for a GTR governing
battery durability in heavy-duty
vehicles. EPA representatives chaired
the informal working group that
developed the GTR and worked closely
with global regulatory agencies and
industry partners to complete its
development in a form that could be
adopted in various regions of the world,
including potentially the United States.
The European Commission and other
contracting parties have also recognized
the importance of durability provisions
and are working to adopt the GTR
standards in their local regulatory
structures. In addition, the California
Air Resources Board, as part of the ZeroEmission Powertrains (ZEP)
Certification program, has also included
battery durability and warranty
requirements as part of a suite of
customer assurance provisions designed
to ensure that zero-emission vehicles
maintain similar standards for usability,
useful life, and maintenance as for ICE
vehicles.597
EPA concurs with the emerging
consensus that battery durability is an
important issue. The ability of a zeroemission vehicle to achieve the
expected emission reductions during its
lifetime depends in part on the ability
of the battery to maintain sufficient
595 National Academies of Sciences, Engineering,
and Medicine 2021. ‘‘Assessment of Technologies
for Improving Light-Duty Vehicle Fuel Economy
2025–2035’’. Washington, DC: The National
Academies Press. https://doi.org/10.17226/26092,
p. 5–113 to 5–115.
596 United Nations Economic Commission for
Europe, Addendum 22: United Nations Global
Technical Regulation No. 22, United Nations Global
Technical Regulation on In-vehicle Battery
Durability for Electrified Vehicles, April 14, 2022.
Available at: https://unece.org/sites/default/files/
2022-04/ECE_TRANS_180a22e.pdf.
597 California Air Resources Board. ‘‘Attachment
C: California Standards and Test Procedures for
New 2021 and Subsequent Model Heavy-Duty ZeroEmissions Powertrains’’, available at: https://
ww2.arb.ca.gov/sites/default/files/barcu/regact/
2019/zepcert/froattc.pdf (last accessed September
20, 2021) (see Section D for details of CARB rated
energy capacity test procedure requirements).
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driving range, capacity, power, and
general operability for a period of use
comparable to that expected of a
comparable ICE vehicle. Durable and
reliable electrified vehicles are therefore
critical to ensuring that projected
emissions reductions are achieved by
this proposed program.
Because vehicle manufacturers can
use electrification as an emissions
control technology to comply with EPA
standards as well as generate credits for
use in averaging, and also banking and
trading, EPA believes that it is
appropriate to set requirements to
ensure that electrified vehicles
certifying to EPA standards are durable
and capable of providing the anticipated
emissions reductions, including those
that they are credited under our
provisions. For example, in order for the
environmental emission reductions that
are credited to BEVs and PHEVs to be
fully realized under this proposed rule’s
structure, it is important that their
potential to achieve a similar mileage
during their lifetime be comparable to
that assumed for ICE vehicles in the
same vehicle service class. In addition,
under the EPA GHG program, BEVs and
PHEVs generate credits that can be
traded among manufacturers and used
to offset debits generated by vehicles
using other technologies that do not
themselves meet the proposed
standards. In either case, if credits
generated by zero-emission vehicles are
to offset debits created by other vehicles
on an equivalent basis, it is thus
important that they should be capable of
achieving a similar mileage, and this
depends, in part, on the life of the
battery. Further, if BEVs and PHEVs
were less durable than comparable ICE
vehicles, this could result in increased
use of ICE vehicles. In particular, and
especially for vehicles with shorter
driving ranges, loss of a large portion of
the original driving range capability as
the vehicle ages could reduce the ability
for zero-emission miles to displace
greater-than-zero-emission miles
traveled, as well as undermine
purchaser confidence in this emerging
but highly effective technology.
We proposed a specific durability
testing requirement in the HD2027
NPRM and received comment on that
proposal, including comment stating
that the requirements could result in
increases in the battery capacity beyond
what was needed to meet the job of the
customer. Due to these concerns and
because we are still evaluating the range
of durability metrics that could be used
for quantifying HD BEV performance,
EPA is not proposing specific durability
testing requirements in this rule.
However, EPA is including in this
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proposal a requirement for a battery
durability monitor that would be
applicable to HD BEVs and PHEVs. The
battery durability monitor proposal
would require manufacturers to provide
a customer-facing battery state-of-health
(SOH) monitor for all heavy-duty BEVs
and PHEVs. We are proposing a new 40
CFR 1037.115(f) that would require
manufacturers to install a customeraccessible SOH monitor which
estimates, monitors, and communicates
the vehicle’s state of certified energy
(SOCE) as it is defined in GTR No.
22.598 Specifically, manufacturers
would implement onboard algorithms to
estimate the current state of health of
the battery, in terms of the state of its
usable battery energy (UBE) expressed
as a percentage of the original UBE
when the vehicle was new.
For HD PHEVs, we are proposing that
manufacturers would use the existing
powertrain test procedures defined in
40 CFR 1036.545 to determine UBE.599
The powertrain test procedures requires
that PHEVs be tested in charge depleting
and charge sustaining modes using a
range of vehicle configurations. For the
determination of UBE, we are proposing
that the PHEV manufacturer would
select the most representative vehicle
configuration.
For HD BEVs, we are proposing that
manufacturers develop their own test
procedures for determining UBE. This is
due to the range of HD BEV
architectures, and the limited test
facilities for conducting powertrain
testing of BEVs with e-axles. With the
SOCE being a relative measure of battery
health and not absolute UBE, we believe
that leaving the test procedure up to the
manufacturer will still provide a
meaningful measure of the health of the
battery. We also believe that requiring
the SOH to be customer-accessible will
provide assurance that the SOH monitor
is relatively accurate while also
providing more time for EPA to work
with manufacturers to develop a
standardized test procedure for
determining UBE for HD BEVs.
We proposed a specified test
procedure to determine UBE in the
HD2027 NPRM and received comment
on that proposal, including comment
requesting changes to the proposed test
procedure, which EPA considered in
developing this proposal’s approach.
EPA requests comment both on this
598 We are proposing to incorporate by reference
the UN Economic Commission for Europe
document as described in Section XI.I.
599 We are proposing to move the existing
powertrain procedure from its current location in
40 CFR 1037.550 to the heavy-duty highway engine
provisions as a new 40 CFR 1036.545. See Section
III.C.3 for more information.
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rule’s proposed approach and on an
alternative approach of EPA defining a
test procedure to determine UBE, such
as the test procedure EPA proposed in
the HD2027 NPRM, CARB zeroemission powertrain certification, and
the test procedures being considered by
the UN ECE EVE IWG.600 Regarding our
request for comment on the HD2027
NPRM test procedure, we note that one
of the main concerns with the test
procedure in submitted comments on
the HD2027 NPRM was that
commenters stated the powertrain test
cell required for powertrains with eaxles were not widely available, and we
believe there has been some indication
that this is changing; we request
comment on this issue. Regarding our
request for comment on the test
procedures being considered by the UN
ECE EVE IWG, we note that some of
these test procedures don’t rely on
chassis or powertrain dynamometers,
like the charge-discharge test procedure,
and request comment on this issue.
Many of the organizations and
authorities that have examined the issue
of battery durability, including the UN
Economic Commission for Europe, the
European Commission, and the
California Air Resources Board, have
recognized that monitoring driving
range as an indicator of battery
durability performance (instead of or in
addition to UBE) may be an attractive
option because driving range is a metric
that is more directly experienced and
understood by the consumer. While we
are not proposing to require that heavyduty BEVs and PHEVs implement a
state-of-certified-range (SOCR) monitor,
we are requesting comment on whether
we should require the SOCR monitor
defined in GTR No. 22.
2. Battery and Fuel Cell Electric Vehicle
Component Warranty
EPA is proposing new warranty
requirements for BEV and FCEV
batteries and associated emissionrelated electric powertrain components
(e.g., fuel-cell stack, electric motors, and
inverters) and is proposing to clarify
how existing warranty requirements
apply for PHEVs.601 The proposed
warranty requirements build on existing
emissions control warranty provisions
by establishing specific new
requirements tailored to the emission
control-related role of the high-voltage
600 Memorandum to Docket EPA–HQ–OAR–
2022–0985: ‘‘Draft Test Procedures for Determining
UBE’’. James Sanchez. February 1, 2023.
601 Note, EPA is not reopening the existing
emission-related warranty periods for HD engines
and vehicles in parts 1036 and 1037.
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battery and fuel-cell stack in durability
and performance of BEVs and FCEVs.
As described in the previous section,
the National Academies of Science
(NAS) in their 2021 report 602 identified
battery warranty along with battery
durability as an important issue with
the rise of electrification. The proposed
vehicle warranty requirements for
battery and other emission-related
electric powertrain components of HD
BEVs and FCEVs would be similar to
those that EPA has the authority to
require and has historically applied to
emission control-related components for
HD vehicles, including HD ICE vehicles,
under EPA’s HD vehicle regulations,
and would similarly implement and be
under the authority of CAA section
207.603 EPA believes that this practice of
ensuring a minimum level of warranty
protection should be extended to the
high-voltage battery and other emissionrelated electric powertrain components
of HD BEV, PHEV, and FCEV for
multiple reasons. Recognizing that
BEVs, PHEVs, and FCEVs are playing an
increasing role in manufacturers’
compliance strategies, the high-voltage
battery and the powertrain components
that depend on it are emission control
devices critical to the operation and
emission performance of HD vehicles, as
they play a critical role in reducing the
vehicles’ emissions and allowing BEVs
and FCEVs to have zero tailpipe
emissions. As explained in Section II
and this Section III, EPA also anticipates
most if not all manufacturers would
include the averaging of credits
generated by BEVs and FCEVs as part of
their compliance strategies for the
proposed standards, thus this is a
particular concern given that the
calculation of credits for averaging (as
well as banking and trading) depend on
the battery and emission performance
being maintained for the full useful life
of the vehicle. Additionally, warranty
provisions are a strong complement to
the proposed battery durability
monitoring requirements. We believe a
component under warranty is more
likely to be properly maintained and
repaired or replaced if it fails, which
could help ensure that credits granted
for BEV and FCEV production volumes
represent real emission reductions
achieved over the life of the vehicle.
Finally, we expect manufacturers
provide warranties at the existing 40
602 National Academies of Sciences, Engineering,
and Medicine 2021. ‘‘Assessment of Technologies
for Improving Light-Duty Vehicle Fuel Economy
2025–2035’’. Washington, DC: The National
Academies Press. https://doi.org/10.17226/26092.
603 See Section I.D. of this preamble for further
discussion of EPA’s authority under CAA section
207.
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CFR 1037.120 levels for the BEVs they
currently produce, and the proposed
requirements to certify to offering those
warranty periods and document them in
the owner’s manual would provide
additional assurance for owners that all
BEVs have the same minimum warranty
period.604
For heavy-duty vehicles, EPA is
proposing that manufacturers identify
BEV and FCEV batteries and associated
electric powertrain components as
component(s) covered under emissionrelated warranty in the vehicle’s
application for certification. We propose
those components would be covered by
the existing regulations’ emissions
warranty periods 605 of 5 years or 50,000
miles for Light HDV and 5 years or
100,000 miles for Medium HDV and
Heavy HDV (see proposed revisions to
40 CFR 1037.120).
We are not proposing new battery
warranty requirements for PHEVs as
‘‘hybrid system components’’ are
covered under the existing regulations
in 40 CFR part 1036 and 40 CFR part
1037. In the HD2027 rule, we finalized
as proposed that when a manufacturer’s
certified configuration includes hybrid
system components (e.g., batteries,
electric motors, and inverters), those
components are considered emissionrelated components, which would be
covered under the warranty
requirements (see, e.g., 88 FR 4363,
January 24, 2023). We are proposing
revisions to 40 CFR 1036.120(c) to
clarify that the warranty requirements of
40 CFR part 1036 apply to hybrid
system components for any hybrid
manufacturers certifying to the part
1036 engine standards. In 40 CFR
1037.120(c), we are also proposing a
clarifying revision to remove the
sentence stating that the emissionrelated warranty does not need to cover
components whose failure would not
increase a vehicle’s emissions of any
regulated pollutant while extending the
existing statement that warranty covers
other emission-related components in a
manufacturer’s application for
certification to specifically include any
other components whose failure would
increase a vehicle’s CO2 emissions.
C. Additional Proposed Revisions to the
Regulations
In this subsection, we discuss
proposed revisions to 40 CFR parts
1036, 1037, 1065.
604 The Freightliner eCascadia includes a
powertrain warranty of 5 yr/150K or 300K miles
(depending on battery pack size). DDCTEC 16046—
eCascadia Spec Sheet_6.0.pdf.
605 EPA promulgated the existing HD vehicle
warranty periods in 40 CFR part 1037 under our
CAA section 207 authority.
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1. Updates for Cross-Sector Issues
This section includes proposed
updates that would make the same or
similar changes in related portions of
the CFR or across multiple standardsetting parts for individual industry
sectors.
i. LLC Cycle Smoothing and Accessory
Load
EPA finalized a new LLC duty-cycle
in the HD2027 rule that included a
procedure for smoothing the nonidle
nonmotoring points immediately before
and after idle segments within the dutycycle.606 It was brought to our attention
that the smoothing procedure in 40 CFR
1036.514(c)(3) allows smoothing based
on the idle accessory torque but says
nothing about how to address the
contribution of curb idle transmission
torque (CITT), while 40 CFR
1065.610(d)(3)(v) through (viii) requires
smoothing based on CITT and says
nothing about how to address idle
accessory torque. This could create
confusion and difficulties for common
cases where CITT is required in
addition to the 40 CFR 1036.514 idle
accessory torques. 40 CFR
1036.514(c)(3), as currently written,
would only apply if the transmission
was in neutral, because it only allows
you to account for the accessory load
and not CITT, which was not EPA’s
intent. To illustrate the concern, for
example, a MHD engine could have an
LLC idle accessory load of 23.5 footpounds, which is 19 percent of a typical
automatic transmission CITT of 124
foot-pounds. To resolve this potential
issue, we are proposing to remove the
smoothing instructions in 40 CFR
1036.514 and incorporate them into 40
CFR 1065.610.
The original intent of the 40 CFR
1065.610 duty-cycle generation
procedure was to avoid discontinuities
in the reference torque values. It was
written with the assumption that idle
load in neutral was zero, meaning the
vehicle or machine idle accessory load
was zero. When we introduced the
required LLC idle accessory load in 40
CFR 1036.514, we failed to realize that
amendments would be needed to 40
CFR 1065.610(d)(3) to clarify how to
handle the accessory load in the
denormalization process. The engine
mapping section 40 CFR 1065.510 is
another area of concern as it does not
address the possibility of droop in the
idle governor, which would result in
different idle speeds when the
transmission is in drive versus neutral.
This results in an additional
606 88
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complication as the required idle
accessory torque will be different in
drive versus neutral to keep the
accessory power at the level specified in
Table 1 to 40 CFR 1036.514(c)(4).
40 CFR 1065.610(d)(4) is a related
paragraph that allows a different
deviation for an optional declared
minimum torque that applies to
variable- and constant-speed engines
and both idle and nonidle nonmotoring
points in the cycle. Its scope of
application is wider than 40 CFR
1065.610(d)(3). 40 CFR 1065.610(d)(4)
applies to all nonidle nonmotoring
points in the cycle, not just the ones
immediately preceding or following an
idle segment and using it instead of
(d)(3) would not get the intended
constant idle accessory power loads or
the intended smoothing.
There is also an existing historical
conflict between 40 CFR 1065.510(f)(4)
and 1065.610(d)(4). 40 CFR
1065.510(f)(4) requires that
manufacturers declare non-zero idle, or
minimum torques, but 40 CFR
1065.610(d)(4), permissible deviations,
make their use in cycle generation
optional. This results in an
inconsistency between the two sections
as 40 CFR 1065.510(f)(4) requires these
parameters to be declared, but 40 CFR
1065.610(d)(4) does not require them to
be used.
Additionally, there is a historical
conflict in 40 CFR 1065.610(d)(3)(v).
This paragraph, as written, includes
zero percent speed and, if the paragraph
is executed in the order listed, it would
include idle points that were changed to
neutral in the previous step for neutral
while stationary transmissions. This
conflict would change the torque values
of those idle-in-neutral points back to
the warm-idle-in-drive torque and the
speed would be left unaltered at the
idle-in-neutral speed. This was clearly
not the intent of this paragraph, yet we
note that this conflict spans back all the
way to when these procedures were
located in 40 CFR 86.1333–90.
The smoothing of idle points also
raises the need for smoothing of the few
occurances of non-idle points in the
duty-cycles where the vehicle may be
moving, the torque converter may not be
stalled, and the warm-idle-in-drive
torque may not be appropriate. This
would result in the smoothing of
consecutive points around nonidle
nonmotoring points with normalized
speed at or below zero percent and
reference torque from zero to the warmidle-in-drive torque value where the
reference torque is set to the warm-idlein-drive torque value.
To address all of these concerns, we
are proposing to make changes to 40
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CFR 1065.510, 1065.512, and 1065.610.
Note, other proposed changes to these
subsections not specifically mentioned
here are edits to fix citations to
relocated or new paragraphs and to
improve the clarity of the test
procedures. The proposed changes to 40
CFR 1065.610 include basing the
smoothing of points preceding an idle
segment and following an idle segment
on the warm-idle-in-drive torque value
(sum of CITT and idle accessory torque).
Exceptions to this are for manual
transmissions and for the first 24
seconds of initial idle segments for
automatic transmissions. Here the
warm-idle-in-neutral torque value (idle
accessory torque) is used. We are
proposing to include manual
transmissions in the required deviations
for reference torque determination for
variable-speed engines in 40 CFR
1065.610(d)(3) for completeness. The
proposed amendments to 40 CFR
1065.610(d)(3) include the option to
skip these deviations for a manual
transmission where optional declared
idle torque and the optional declared
power are not declared (idle torque is
zero). This provides labs that have not
yet implemented these required
deviations the option to not implement
them if they only need to run tests with
manual transmissions with zero idle
torque. We also proposed the addition
of manual transmissions to 40 CFR
1065.512(b)(2) where these required
deviations in 40 CFR 1065.610 are cited.
We are also proposing changes to 40
CFR 1065.510(b) and (f) to address the
effect of droop in the idle governor and
how to determine idle speed when idle
torque is a function of idle speed (where
a component is specified as power or
CITT is specified as a function of speed
and the idle speeds need to be
determined for each setpoint of the idle
governor). We are also proposing the
addition of an option to declare the
warm idle speed(s) equal to the idle
speed setpoint for electronically
governed variable-speed engines with
an isochronous low-speed governor.
Recent updates to the mapping test
procedure in 40 CFR 1065.510 regarding
running the map at the minimum useradjustable idle speed setpoint and using
the map for any test assumed that one
could declare the warm idle speed(s)
equal to the idle speed setpoint for
electronically governed variable-speed
engines.607 We are proposing changes to
make it clear that this option is allowed,
which would help simplify the mapping
process.
To resolve the conflict between 40
CFR 1065.510(f)(4) and 1065.610(d)(4),
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we are proposing to move the
requirement to declare torques to 40
CFR 1065.510(f)(5), which would make
it optional and consistent with 40 CFR
1065.610(d)(4).
To resolve the conflict in 40 CFR
1065.610(c)(3)(v), which we are
proposing to reorganize as 40 CFR
1065.610(c)(3)(vii), we are proposing to
restrict the applicability of the
paragraph from ‘‘all points’’ to ‘‘all
nonidle nonmotoring points.’’ To
address the smoothing of consecutive
nonidle nonmotoring points that
immediately follow and precede any
smoothed idle points we are proposing
to change their reference torques to the
warm-idle-in-drive torque value by
adding a new 40 CFR 1065.610(c)(3)(xi).
We are also proposing revisions to 40
CFR 1036.514 to reorganize and clarify
the process for cycle denormalization of
speed and torque where accessory load
is included and to add more specific
transmission shift points for greater than
200 seconds idle segments for LLC
engine and hybrid powertrain testing.
Shifting the transmission to neutral
during very long idle segments is more
representative of in-use operation than
leaving it in drive, so we are proposing
more specific shift points instead of a
range to reduce lab-to-lab variability.
The proposal would require setting the
reference speed and torque values to the
warm-idle-in-drive values for the first
three seconds and the last three seconds
of the idle segment for an engine test,
requiring keeping the transmission in
drive for the first 3 seconds of the idle
segment, shifting the transmission from
drive to park or neutral immediately
after the third second in the idle
segment, and shifting the transmission
into drive again three seconds before the
end of the idle segment.
ii. Calculating Greenhouse Gas Emission
Rates
We are proposing to revise 40 CFR
1036.550(b)(2) and 40 CFR
1054.501(b)(7) to clarify that when
determining the test fuel’s carbon mass
fraction, WC, the fuel properties that
must be measured are a (hydrogen) and
b (oxygen). These paragraphs, as
currently written, imply that you cannot
use the default fuel properties in 40 CFR
1065.655 for a, b, g (sulfur), and d
(nitrogen). The fuel property
determination in 40 CFR 1065.655(e)
makes it clear that if you measure fuel
properties and the default g and d values
for your fuel type are zero in Table 2 to
40 CFR 1065.655, you do not need to
measure those properties. The sulfur (g)
and nitrogen (d) content of these highly
refined gasoline and diesel fuels are not
enough to affect the WC determination
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and the original intent was to not
require their measurement. We are
proposing this change to ensure there is
no confusion on the requirement. We
are also proposing to update 40 CFR
1036.550(b)(2) and 40 CFR
1054.501(b)(7) so that they reference 40
CFR 1065.655(e), which includes the
default fuel property table whose
number had been previously changed
and we did not make the corresponding
update in 40 CFR 1036.550(b)(2) and 40
CFR 1054.501(b)(7).
iii. ABT Reporting
We are proposing to allow
manufacturers to correct previously
submitted vehicle and engine GHG ABT
reports, where a mathematical or other
error in the GEM-based or fleet
calculations used for compliance was
discovered after the 270-day final report
submission deadline. In the Phase 1
program, EPA chose the 270-day
deadline for submitting a final GHG
ABT report to coincide with existing
criteria pollutant report requirements
that manufacturers follow for heavyduty engines.608 The 270-day deadline
was based on our interest in
manufacturers maintaining good quality
assurance/quality control (QA/QC)
processes in generating ABT reports. We
continue to believe that aligning the
ABT report deadlines for criteria and
GHG pollutants can provide consistency
within a manufacturer’s certification
and compliance processes, but further
consideration of the inherent differences
and complexities in how credits are
calculated and accounted for in the two
programs led us to consider a time
window beyond 270 days for allowing
corrections to the GHG report. Certifying
an engine or vehicle fleet with attributebased features (Phase 1) or GEM (Phase
2) involves a greater risk of error
compared to EPA’s engine or vehicle
test-based programs for criteria
pollutants, where direct measurement of
criteria pollutant emissions at time of
certification is well established.
Whether an indirect, physics-based
model for quantifying GHG emissions
such as GEM, or a unique
technology-, attribute-, or engine
production volume-based credit
accounting system, unintentional errors,
if not detected prior to submitting the
final GHG ABT report and not realized
until the accounting process for the
following model year was initiated,
could negatively affect a manufacturer’s
credit balance. For example, the loss of
these credits could result in a
manufacturer purchasing credits or
608 See the HD GHG Phase 1 rule (76 FR 57284,
September 15, 2011).
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making unplanned investments in
additional technologies to make up for
the credits lost due to the report error.
Under the proposed revisions to 40
CFR 1036.730(f) and 1037.730(f), EPA
would consider requests to correct
previously submitted MY 2021 or later
ABT reports only when notified of the
error within a time period of 24 months
from the September 30 final report
deadline. For requests to correct reports
for MY 2020 or earlier, we are proposing
an interim deadline of October 1, 2024
(see proposed new 40 CFR 1036.150(aa)
and 1037.150(y)). We believe that
corrections to ABT reports, where
justified, will have no impact on
emissions compliance as the actual
performance of a manufacturer’s fleet
was better than what was reported in
error, and correcting the report simply
adjusts the credit balance for the model
year in question to the appropriate
value, such that those credits can then
be used in future model years.
This proposed narrowly focused
allowance for correcting accounting,
typographical, or GEM-based errors after
a manufacturer submits the 270-day
final report (see proposed revisions in
40 CFR 1037.730) is intended to address
the disproportionate financial impact of
an unintentional error in the complex
modeling and accounting processes that
manufacturers use to determine
compliance and credit balances for a
given model year. We are proposing a 10
percent discount to these credit
corrections to the final report, which
will reduce the value of the credits that
are restored upon approval of the
request. The 10 percent discount is
intended to balance the goal of
encouraging accuracy in ABT reports
and use of robust QA/QC processes
against the considerations for allowing
manufacturers the ability to correct
unforeseen errors.
iv. Migration of 40 CFR 1037.550 to 40
CFR 1036.545
We are proposing to migrate the
powertrain test procedure in 40 CFR
1037.550 to 40 CFR 1036.545. Over the
course of the development of this test
procedure, its use expanded to include
certification of engines to the criteria
pollutant standards in 40 CFR part 1036
(including test procedures in 40 CFR
1036.510, 1036.512, and 1036.514) and
the procedure can be used in place of
the engine GHG testing procedures (40
CFR 1036.535 and 1036.540) for hybrid
engines and hybrid powertrains. We are
proposing to migrate the test procedure
to 40 CFR 1036.545 as-is, with the
following exceptions. We are proposing
to add a new figure that provides an
overview of the steps involved in
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carrying out testing under this section.
We are proposing to clarify that if the
test setup has multiple locations where
torque is measured and speed is
controlled, the manufacturer would be
required to sum the measured torque
and validate that the speed control
meets the requirements defined in the
proposed 40 CFR 1036.545(m). Positive
cycle work, W[cycle], would then be
determined by integrating the sum of
the power measured at each location in
the proposed 40 CFR 1036.545(o)(7). We
are also proposing to clarify that
manufacturers may test the powertrain
with a chassis dynamometer as long as
they measure speed and torque at the
powertrain’s output shaft or wheel hubs.
We are also proposing to replace all
references to 40 CFR 1037.550
throughout 40 CFR part 1036 and part
1037 with new references to 40 CFR
1036.545. For test setups where speed
and torque are measured at multiple
locations, determine W[cycle] by
integrating the sum of the power
measured at each location.
v. Median Calculation for Test Fuel
Properties in 40 CFR 1036.550
40 CFR 1036.550 currently requires
the use of the median value of
measurements from multiple labs for the
emission test fuel’s carbon-mass-specific
net energy content and carbon mass
fraction for manufacturers to determine
the corrected CO2 emission rate using
equation 40 CFR 1036.550–1. The
current procedure does not provide a
method for determining the median
value. We are proposing to add a new
calculation for the median value in the
statistics calculation procedures of 40
CFR 1065.602 as a new paragraph (m).
We also propose to reference the new
paragraph (m) in 40 CFR
1036.550(a)(1)(i) and (a)(2)(i) for carbonmass-specific net energy content and
carbon mass fraction, respectively. This
proposed new calculation procedure
would ensure that labs are using the
same method to calculate the median
value. This proposed calculation is a
standard statistical method for
determining median and it would
require order ranking the data in
increasing order from smallest value to
largest.
Determining the median from data
sets containing an even number of data
points would require dividing the
number of data points by two to
determine the rank of one of the data
points whose value would be used to
determine the median. This data point
would then be added to the next highest
ranked data point and the sum would be
divided by two to determine the
median.
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Determining the median from data
sets containing an odd number of data
points would be determined by adding
one to the number of data points and
dividing the sum by two to determine
the rank of the data point whose value
would be the median.
2. Updates to 40 CFR Part 1036 HeavyDuty Highway Engine Provisions
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i. Manufacturer Run Heavy Duty In-Use
Testing
We are proposing a clarification to 40
CFR 1036.405(d) regarding the starting
point for the 18-month window
manufacturers have to complete an inuse test order. Under the current
provision, the clock for the 18-month
window starts after EPA has received
the manufacturer’s proposed plan for
recruiting, screening, and selecting
vehicles. There is concern that
manufacturers could delay testing by
unnecessarily prolonging the selection
process. To alleviate this concern and
keep the testing timeline within the
originally intended 18-month window,
we are proposing to start the clock on
the 18-month window when EPA issues
the order for the manufacturer to test a
particular engine family.
In the HD2027 final rule, we adopted
a new 40 CFR 1036.420 that includes
the pass criteria for individual engines
tested under the manufacturer run inuse testing program. Table 1 to 40 CFR
1036.420 contains the accuracy margins
for each criteria pollutant. We are
proposing to correct an inadvertent error
in the final rule’s amendatory text for
the regulations that effects the accuracy
margin for carbon monoxide (CO),
which is listed in Table 1 as 0.025 g/hphr. The HD2027 preamble is clear that
the CO accuracy margin that we
finalized was intended to be 0.25 g/hphr and we are proposing to correct Table
1 to reflect the value in the preamble.609
ii. Low Load Cycle (LLC)—Cycle
Statistics
We are proposing to update 40 CFR
1036.514 to address the ability of
gaseous fueled non-hybrid engines with
single point fuel injection to pass cycle
statistics to validate the LLC duty cycle.
We referenced, in error in 40 CFR
1036.514(e), the alternate cycle statistics
for gaseous fueled engines with single
point fuel injection in the cycle average
fuel map section in 40 CFR
1036.540(d)(3) instead of adding LLC
specific cycle statistics in 40 CFR
609 See HD2027 final rule preamble (88 FR 4353,
January 24, 2023) (‘‘PEMS measurement allowance
values in 40 CFR 86.1912 are 0.01 g/hp-hr for HC,
0.25 g/hp-hr for CO, 0.15 g/hp-hr for NOX, and
0.006 g/hp-hr for PM. We are maintaining the same
values for HC, CO, and PM in this rulemaking.’’).
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1036.514(e). We are proposing the
addition of a new Table 1 in 40 CFR
1036.514(b) to provide cycle statistics
that are identical to those used by the
California Air Resources Board for the
LLC and to remove the reference to 40
CFR 1036.540(d)(3) in 40 CFR
1036.514(e).
iii. Low Load Cycle (LLC)—Background
Sampling
We are proposing to remove the
provision in 40 CFR 1036.514(d) that
allows periodic background sampling
into the bag over the course of multiple
test intervals during the LLC because
the allowance to do this is convered in
40 CFR 1065.140(b)(2). The LLC consists
of a very long test interval and the intent
of the provision was to address emission
bag sampling systems that do not have
enough dynamic range to sample
background constantly over the entire
duration of the LLC. 40 CFR
1065.140(b)(2) affords many flexibilities
regarding the measurement of
background concentrations, including
sampling over multiple test intervals as
long as it does not affect your ability to
demonstrate compliance with the
applicable emission standards.
iv. U.S.-Directed Production Volume
In the recent HD2027 rule, we
amended the heavy-duty highway
engine provision in 40 CFR 1036.205
and several other sections to replace
‘‘U.S.-directed production volume’’ with
the more general term ‘‘nationwide’’
where we intended manufacturers
report total nationwide production
volumes, including production volumes
that meet different state standards.
In this rule, for the reasons explained
in Section III.A.1, we are proposing a
broader change to the definition of
‘‘U.S.-directed production volume’’ for
vehicles in 40 CFR 1037.801 to include
production volumes for vehicles
certified to different standards. We are
proposing to adopt the same updated
definition of ‘‘U.S.-directed production
volume’’ in 40 CFR 1036.801 to
maintain consistency between the
engine and vehicle regulations’
definitions, and are proposing to
reinstate the term ‘‘U.S.-directed
production volume’’ where we currently
use ‘‘nationwide’’ in 40 CFR part 1036
to avoid having two terms with the same
meaning.610
Since certain existing part 1036
requirements use the existing term and
definition to exclude production
volumes certified to different state
610 See proposed revisions in 40 CFR 1036.205(v),
1036.250(a), 1036.405(a), 1036.605(e), 1036.725(b),
and 1036.730(b).
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26019
standards (i.e., the NOX ABT program
for HD engines), we are proposing
corresponding clarifying updates
throughout 40 CFR part 1036 to ensure
no change to those existing exclusions
in tandem with the proposed change to
the definition of the term ‘‘U.S.-directed
production volume.’’ For example, we
are also proposing to update 40 CFR
1036.705(c) to establish this paragraph
as the reference for specifying the
engines that are excluded from the
production volume used to calculate
emission credits for HD highway
engines, and we propose that a new 40
CFR 1036.705(c)(4) be the location
where we exclude engines certified to
different state emission standards for
the HD engine program.611 The
proposed changes also include replacing
several instances of ‘‘U.S.-directed
production volume’’ with a more
general ‘‘production volume’’ where the
text clearly is connected to ABT or a
more specific reference to the
production volume specified in 40 CFR
1036.705(c).612
v. Correction to NOX ABT FEL Cap
We are proposing to amend 40 CFR
1036.104(c)(2) to remove paragraph (iii)
which corresponds to a FEL cap of 70
mg/hp-hr for MY 2031 and later Heavy
HDE that we proposed in HD2027 but
did not intend to include in the final
amendatory text. In the final rule for the
HD2027 rule, we did not intend to
include in the final amendatory text
paragraph (iii) alongside the final FEL
cap of 50 mg/hp-hr for MY 2031 and
later which applies to all HD engine
service classes including Heavy HDE in
paragraph (ii) described by EPA in the
preamble and supporting rule record.
We are proposing to correct this error
and remove paragraph (iii). This
correction will not impact the
stringency of the final NOX standards
because even without correction
paragraph (ii) controls.613
vi. Rated Power and Continuous Rated
Power Coefficient of Variance in 40 CFR
1036.520
We are proposing to correct an error
and include a revision to a provision we
intended to include in HD2027,
regarding determining power and
vehicle speed values for powertrain
611 The proposed revision would also move the
statement to keep records relating to those
production volumes from its current location in 40
CFR 1036.705(c) to 40 CFR 1036.735 with the other
ABT recordkeeping requirements.
612 See proposed revisions in 40 CFR 1036.150(d)
and (k), 1036.725(b), and 1036.730(b).
613 EPA is not reopening the final HD2027
standards or any other portion of that rule besides
those specifically identified in this document as
subject to new proposed revisions.
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testing. In 40 CFR 1036.520, paragraphs
(h) and (i) describe how to determine
rated power and continuous rated
power, respectively, from the 5 Hz data
in paragraph (g) averaged from the 100
Hz data collected during the test. We
inadvertently left out the coefficient of
variance (COV) limits of 2 percent that
are needed for making the rated and
continuous rated power determinations
in the HD2027 final 40 CFR 1036.520(h)
and (i), which were intended to be
based on the COVs calculated in 40 CFR
1036.520(g) and we correctly included
in the HD2027 final 40 CFR 1036.520(g).
We are proposing to add the 2 percent
COV limit into 40 CFR 1036.520(h) and
(i). We are also proposing to correct a
paragraph reference error in 40 CFR
1036.520(h). The paragraph references
the data collected in paragraph (f)(2) of
the section. The data collection takes
place in paragraph (d)(2) of the section.
vii. Selection of Drive Axle Ratio and
Tire Radius for Hybrid Engine and
Hybrid Powertrain Testing
We are proposing to combine and
modify the drive axle ratio and tire
radius selection paragraphs in 40 CFR
1036.510(b)(2)(vii) and (viii). When
testing hybrid engines and hybrid
powertrains a series of vehicle
parameters must be selected. The
paragraphs for selecting drive axle ratio
and tire radius are separate from each
other, however the selection of the drive
axle ratio must be done in conjunction
with the tire radius as not all tire sizes
are offered with a given drive axle ratio.
We are proposing to combine these
paragraphs into one to eliminate any
possible confusion on the selection of
these two parameters.
The maximum vehicle speed for SET
testing of hybrid engines and
powertrains is determined based on the
vehicle parameters and maximum
achievable speed for the configuration
in 40 CFR 1036.510. This is not the case
for the FTP vehicle speed which reaches
a maximum of 60 miles per hour. It has
been brought to our attention that there
are some vehicle configurations that
cannot achieve the FTP maximum speed
of 60 mile per hour. To resolve this, we
are proposing changes to 40 CFR
1036.510(b)(2)(vii) instructing the
manufacturer to select a representative
combination of drive axle ratio and tire
size that ensure a vehicle speed of no
less than 60 miles per hour. We are also
proposing to include, as a reminder, that
manufacturers may request approval for
selected drive axle ratio and tire radius
consistent with the provisions of 40 CFR
1036.210. We are also proposing to add
a provision for manufacturers to follow
the provisions of 40 CFR 1066.425(b)(5)
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if the hybrid powertrain or hybrid
engine is used exclusively in vehicles
which are not capable of reaching 60
mi/hr. This would allow the
manufacturer to seek approval of an
alternate test cycle and cycle-validation
criteria for powertrains where the
representative tire radius and axle ratio
do not allow the vehicle to achieve the
maximum speeds of the specified test
cycle.
viii. Determining Power and Vehicle
Speed Values for Powertrain Testing
We are proposing to revise 40 CFR
1036.520(d)(2) to address the possibility
of clutch slip when performing the full
load acceleration with maximum driver
demand at 6.0 percent road grade where
the initial vehicle speed is 0 mi/hr. The
proposed revision would allow hybrid
engines and hybrid powertrains to
modify the road grade in the first 30
seconds or increase the initial speed
from 0 miles per hour to 5 miles per
hour to mitigate clutch slip. This road
grade alteration or change in initial
speed should reduce the extreme force
on the clutch when accelerating at 6.0
percent grade.
We are proposing to revise 40 CFR
1036.520(d)(3) to address situations
where the powertrain does not reach
maximum power in the highest gear 30
seconds after the grade setpoint has
reached 0.0 percent. To address this we
are proposing to replace the 30 second
time limit with a speed change stability
limit of 0.02 m/s2 which would trigger
the end of the test.
ix. Request for Comment on
Determining Vehicle Mass in 40 CFR
1036.510
As engines and powertrains evolve
with time, changes to vehicle mass may
be needed to maintain equivalent cycle
work between the powertrain and
engine test procedures. We request
comment on updating equation 40 CFR
1036.510–1 to better reflect the
relationship of vehicle mass and rated
power. With the increase in rated power
of heavy-duty engines, at least one
manufacturer has raised to EPA that
there is some concern that equation 40
CFR 1036.510–1 might need updating to
better reflect the relationship of vehicle
mass and rated power. If you provide
comment that the equation should be
updated, we request that you provide
data to justify the change and show that
the change would provide comparable
values of cycle work and power versus
time, for both the engine and powertrain
versions of the duty cycles. For the
engine duty cycles (e.g., FTP and SET),
the cycle work of the duty cycle is a
function of the engine torque curve. For
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the powertrain duty cycles (e.g., vehicle
FTP and vehicle SET), the cycle work of
the duty cycle is a function of the rated
power of the powertrain.
x. Test Procedure for Engines
Recovering Kinetic Energy for Electric
Heaters
We are proposing a clarification in the
existing definition for hybrid in 40 CFR
1036.801 to add a sentence stating that
systems recovering kinetic energy to
power an electric heater for the
aftertreatment would not qualify as a
hybrid engine or hybrid powertrain.
Under the existing hybrid definition,
systems that recover kinetic energy,
such as regenerative braking, would be
considered ‘‘hybrid components’’ and
manufacturers would be required to use
the powertrain test procedures to
account for the electric heater or use the
engine test procedures and forfeit the
emission reductions from heating the
aftertreatment system. With the
proposed clarification to the hybrid
definition, engines that use regenerative
braking only to power an electric heater
for aftertreatment devices would not be
considered hybrid engines and,
therefore, would not be required to use
the powertrain test procedures; instead,
those engines could use the test
procedures for engines without hybrid
components.
We are proposing to supplement the
new definitions with direction for
testing these systems in 40 CFR
1036.501. In a proposed new 40 CFR
1036.501(g), we would clarify that an
electric heater for aftertreatment can be
installed and functioning when creating
fuel maps using 40 CFR 1036.505(b),
and measuring emissions over the duty
cycles specified in 40 CFR 1036.510(b),
40 CFR 1036.512(b), and 40 CFR
1036.514(b). This proposed allowance
would be limited to hybrid engines
where the system recovers less than 10
percent of the total positive work over
each applicable transient cycle and the
recovered energy is exclusively used to
power an electric heater in the
aftertreatment. Since the small amount
of recovered energy is stored thermally
and can’t be used to move the vehicle,
we believe that the engine test
procedures are just as representative of
real-world operation as the powertrain
test procedures. We request comment on
using a different limit than 10 percent
of the total positive work over the
transient cycle for this flexibility. The
proposed limit of 10 percent is based on
the amount of negative work versus
positive work typical of conventional
engines over the transient cycle. After
evaluating a range of HDE, we have
observed that the negative work from
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the transient FTP cycle during engine
motoring is less than 10 percent of the
positive work of the transient FTP
cycle.614 In the same paragraph (g), we
also propose that manufacturers have
the option to use the powertrain test
procedures for these systems, which
would not have the same restrictions we
are proposing for the amount of
recovered energy.
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xi. Updates to 40 CFR Part 1036
Definitions
We propose new and updated
definitions in 40 CFR 1036.801 in
support of several proposed
requirements in Section II or this
Section III. We propose to add a
reference to two new definitions
proposed in 40 CFR part 1065: Carboncontaining fuel and ‘‘neat’’. The
proposed definition of carboncontaining fuel will help identify the
applicable test procedures for engines
using fuels that do not contain carbon
and would not produce CO2. The
proposed definition of ‘‘neat’’ would
indicate that a fuel is not mixed or
diluted with other fuels, which would
help distinguish between fuels that
contain no carbon, such as hydrogen,
and fuels that that contain carbon
through mixing, such as hydrogen
where a diesel pilot is used for
combustion. We also propose to update
the definition for U.S.-directed
production volume to be equivalent to
nationwide production.
We propose to consolidate the
definitions of hybrid, hybrid engine,
and hybrid powertrain into a single
definition of ‘‘hybrid’’ with
subparagraphs distinguishing hybrid
engines and powertrains. The proposed
definition of hybrid retains most of the
existing definition, except that we
propose to remove the unnecessary
‘‘electrical’’ qualifier from batteries and
propose to add a statement relating to
recovering energy to power an electric
heater in the aftertreatment (see Section
III.C.2.x). The revised definitions for
hybrid engines and powertrains, which
are proposed as subparagraphs under
‘‘hybrid’’, are more complementary of
each other with less redundancy. As
noted in Section III.C.2.x, we propose to
update the definitions of hybrid engine
and hybrid powertrain to exclude
systems recovering kinetic energy for
electric heaters.
We propose several editorial revisions
to definitions as well. We propose to
update the definition of mild hybrid
614 Memorandum to Docket EPA–HQ–OAR–
2022–0985: ‘‘Analysis of Motoring and Positive
Cycle Work for Current Heavy-Duty Engines’’.
James Sanchez. April 4, 2023.
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such that it is relating to a hybrid engine
or hybrid powertrain. We propose to
revise the existing definition of small
manufacturer to clarify that the
employee and revenue limits include
the totals from all affiliated companies
and added a reference to the definition
of affiliated companies in 40 CFR
1068.30.
xii. Miscellaneous Corrections and
Clarifications in 40 CFR Part 1036
We are proposing to update 40 CFR
1036.150(j) to clarify that the alternate
standards apply for model year 2023
and earlier loose engines, which is
consistent with existing 40 CFR
86.1819–14(k)(8).
We propose to update the provision
describing how to determine
deterioration factors for exhaust
emission standards in 40 CFR 1036.245
so it would also apply for hybrid
powertrains.
xiii. Off-Cycle Test Procedure for
Engines That Use Fuels Other Than
Carbon-Containing Fuel
We are proposing a new paragraph 40
CFR 1036.530(j) for engines that use
fuels other than carbon-containing fuel.
The off-cycle test procedures in 40 CFR
1036.530 use CO2 as a surrogate for
engine power. This approach works for
engines that are fueled with carboncontaining fuel, since power correlates
to fuel mass rate and for carboncontaining fuels, fuel mass rate is
proportional to the CO2 mass rate of the
exhaust. For fuels other than carboncontaining fuels, the fuel mass rate is
not proportional to the CO2 mass rate of
the exhaust. To address this issue, we
are proposing, for fuels other than
carbon-containing fuels, to use engine
power directly instead of relying on CO2
mass rate to determine engine power.
For field testing where engine torque
and speed is not directly measured,
engine broadcasted speed and torque
can be used as described in 40 CFR
1065.915(d)(5).
xiv. Onboard Diagnostic and
Inducement Amendments
EPA is proposing to make changes to
specific aspects of paragraphs within 40
CFR 1036.110 and 1036.111 to add
clarifications and correct minor errors in
the OBD and inducement provisions
adopted in the HD2027 final rule.615
Specifically, EPA is proposing the
following:
• 40 CFR 1036.110(b)(6): Proposing to
correct a reference to the CARB
615 EPA is not reopening any aspect of our OBD
and inducement provisions other than those
proposed clarifications and corrections specifically
identified in this section.
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26021
regulation to be consistent with our
intent as described in the preamble of
the final rule (see 88 FR 4372) to not
require manufacturer self-testing and
reporting requirements in 13 CCR
1971.1(l)(4).
• 40 CFR 1036.110(b)(9): Proposing to
clarify that the list of data parameters
readable by a generic scan tool is
limited to components that are subject
to existing OBD monitoring
requirements (e.g., through
comprehensive component
requirements in 13 CCR 1971.1(g)(3)).
For example, if parking brake status was
not included in an engine’s OBD
certificate, it would not be a required
data parameter.
• 40 CFR 1036.110(b)(11): Proposing
to add a reference to 13 CCR 1971.5. The
final rule referenced 13 CCR 1971.1 to
point to OBD testing deadlines;
however, there are additional OBD
testing deadlines specified in 1971.5.
• 40 CFR 1036.110(c)(1) and 40 CFR
1036.125(h)(8)(iii): Proposing to correct
terminology within these provisions by
referring to inducements related to
‘‘DEF level’’ instead of ‘‘DEF quantity,’’
to make the intent clearer that the
system must use the level of DEF in the
DEF tank for purposes of evaluating the
specified inducement triggering
condition. We separately refer to the
quantity of DEF injection for managing
the functioning of the SCR catalyst,
which is unrelated to the level of DEF
in the DEF tank.
• 40 CFR 1036.111: Proposing to edit
for clarity, to eliminate confusion with
onboard diagnostic terminology. More
specifically, proposing edits to adjust
inducement-related terminology to refer
to ‘‘inducement triggering conditions’’
instead of ‘‘fault conditions.’’
Inducement algorithms are executed
through OBD algorithms, but the
inducement triggers are separate from
OBD fault conditions related to the
malfunction indicator light.
• 40 CFR 1036.111(a)(2): Proposing to
clarify how to determine the speed
category when there is less than 30
hours of accumulated data. The
regulation as adopted sets the
inducement schedule based on average
vehicle speed over the preceding 30
hours of non-idle operation. That
instruction will cover most
circumstances; however, there is no
specific instruction for an inducement
triggering condition that occurs before
the vehicle accumulates 30 hours of
non-idle operation. As described in the
final rule, we depend on 30 hours of
non-idle operation to establish which
inducement schedule is appropriate for
a vehicle. We are also aware that a
newly purchased vehicle would have
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accumulated several hours of very lowspeed operation before being placed into
service. We are therefore proposing to
specify that engines should not be
designed to assess the speed category for
inducement triggering conditions until
the vehicle has accumulated 30 hours of
non-idle operation. We are proposing
that manufacturers should program
engines with a setting categorizing them
as high-speed vehicles until they
accumulate 30 hours of data to avoid
applying an inappropriate speed
schedule.
• 40 CFR 1036.111(d)(1), Table 2:
Proposing to correct a typographical
error for the middle set of columns that
should read ‘‘Medium-speed’’ instead of
repeating ‘‘Low-speed.’’ The table was
correctly published in the preamble to
the final rule (see 88 FR 4378). We are
proposing to add an inadvertently
omitted notation in the table to identify
the placement of a footnote to the table.
xv. Engine Data and Information To
Support Vehicle Certification
We are proposing to update 40 CFR
1036.505 to clarify that when certifying
vehicles with GEM, for any fuel type not
identified in Table 1 of 40 CFR
1036.550, the manufacturer would
identify the fuel type as diesel fuel for
engines subject to compression-ignition
standards, and would identify the fuel
type as gasoline for engines subject to
spark-ignition standards. This proposed
change to 40 CFR 1036.505, is intended
to clarify what was originally intended
for fuels that are not specified in Table
1 of 40 CFR 1036.550. This proposed
clarification would address the potential
situation where, if a fuel is input into
GEM other than the fuel types identified
in Table 1 of 40 CFR 1036.550, GEM
will output an error.
3. Updates to 40 CFR Part 1037 HeavyDuty Motor Vehicle Provisions
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i. Standards for Qualifying Small
Businesses
As noted in Section II.I, we are
proposing that qualifying small
manufacturers would continue to be
subject to the existing MY 2027 and
later standards. We are proposing to
revise 40 CFR 1037.150(c) to specify the
standards that apply for qualifying small
business vehicle manufacturers in light
of this proposal to adopt new standards
for those model years. Specifically, we
are renumbering the current paragraphs
to apply through MY 2026 and adding
new paragraphs that would apply for
MY 2027 and later, including three
tables that show the small business CO2
emission standards for vocational
vehicles, custom chassis vocational
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vehicles, and tractors. The proposed
updates also include the proposed
limitations on generating credits for
averaging only (no banking, trading, or
use of credit multipliers) unless the
small manufacturer certifies to the
Phase 3 standards.
ii. Vehicles With Engines Using Fuels
Other Than Carbon-Containing Fuels
In the HD2027 final rule, we adopted
revisions to 40 CFR 1037.150(f) to
include fuel cell electric vehicles, in
addition to battery electric vehicles, in
the provision that deems tailpipe
emissions of regulated GHG pollutants
as zero and does not require CO2-related
emission testing. As discussed in
Section II.D.1, hydrogen-fueled internal
combustion engines are a newer
technology under development and
since hydrogen has no carbon, H2 ICEs
fueled with neat hydrogen would
produce zero HC, CO, and CO2 engineout emissions. Therefore, we are
proposing to include vehicles using
engines fueled with neat hydrogen in 40
CFR 1037.150(f) so that their CO2
tailpipe emissions are deemed to be zero
and manufacturers are not required to
perform any engine testing for CO2
emissions. This proposed revision
would not change the requirements for
H2 ICE engines, including those fueled
with neat hydrogen, to meet the N2O
GHG standards or the criteria pollutant
emission standards in 40 CFR part 1036.
We request comment on this proposed
revision to include H2 ICE in 40 CFR
1037.150(f).
Additionally, we are proposing to
revise 40 CFR 1037.150(f) to replace
‘‘electric vehicles’’ with ‘‘battery electric
vehicles’’, and ‘‘hydrogen fuel cell
vehicles’’ with ‘‘fuel cell electric
vehicles’’, consistent with proposed
revisions to those definitions (see
Section III.C.3.xiii).
iii. ABT Calculations
We are proposing clarifying revisions
to the definitions of two variables of the
emission credit calculation for ABT in
40 CFR 1037.705. As noted in Section
II.C, we propose to update the emission
standard variable (variable ‘‘Std’’) to
establish a common reference emission
standard when calculating ABT
emission credits for vocational vehicles
with tailpipe CO2 emissions deemed to
be zero (i.e., BEVs, FCEVs, and vehicles
with engines fueled with pure
hydrogen), which would be the CI
Multi-Purpose vehicle regulatory
subcategory standard for the applicable
weight class. We also propose to revise
the ‘‘Volume’’ variable to replace the
term ‘‘U.S.-directed production volume’’
with a reference to the paragraph (c)
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where we are also proposing updates
consistent with the proposed revision to
the definition of U.S.-directed
production volume. With the proposed
revision to paragraph (c), we intend for
40 CFR 1037.705(c) to replace ‘‘U.S.directed production volume’’ as the
primary reference for the appropriate
production volume to apply with
respect to the ABT program and propose
to generally replace throughout part
1037.
iv. U.S.-Directed Production Volume
The CAA requires that every HD
engine and vehicle be covered by a
certificate of conformity indicating
compliance with the applicable EPA
regulations.616 In the existing 40 CFR
1037.205, which describes requirements
for the application for certification, we
currently use the term U.S.-directed
production volume and are now
proposing that manufacturers should,
instead, be reporting total nationwide
production volumes that include any
production volumes certified to
different state standards.
In the recent HD2027 rule, we
amended the corresponding heavy-duty
highway engine provision in 40 CFR
1036.205 to replace ‘‘U.S.-directed
production volume’’ with the more
general term ‘‘nationwide’’, noting that
manufacturers were already reporting
the intended total nationwide
production, including production that
meets different state standards. In this
rule, for the reasons explained in
Section III.A.1, we are proposing a
broader change to the definition of
‘‘U.S.-directed production volume’’ and
the proposed new definition would not
require us to change the term used in
1037.205 to ensure manufacturers report
nationwide production volumes.617 We
are proposing revisions to the
introductory paragraph of 40 CFR
1037.705(c), consistent with the
proposed revisions to the corresponding
HD engine provisions, to establish this
paragraph as the reference for which
engines are excluded from the
production volume used to calculate
emission credits for HD highway (see
Section III.C.2.iv). Similarly, the
proposed changes include replacing
several instances of ‘‘U.S.-directed
production volume’’ with a more
general ‘‘production volume’’ where the
616 CAA sections 203 and 206, 42 U.S.C. 7522 and
7525.
617 As noted in Section III.C.2.iv, we are
proposing to adopt the same updated definition of
‘‘U.S.-directed production volume’’ in 40 CFR
1036.801, with additional corresponding proposed
updates to not revise existing exclusions of
production volumes certified to different standards
(i.e., the NOX ABT program for HD engines).
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text clearly is connected to ABT or a
more specific reference to the
production volume specified in 40 CFR
1037.705(c).618
v. Revisions to Hybrid Powertrain
Testing and Axle Efficiency Testing
We are proposing to add a new figure
to 40 CFR 1037.550 to give an overview
on how to carry out hybrid powertrain
testing in that section. We are proposing
in the axle efficiency test in 40 CFR
1037.560(e)(2) to allow the use of an
alternate lower gear oil temperature
range on a test point by test point basis
in addition to the current alternate that
requires the use of the same lower
temperature range for all test points
within the test matrix. This would
provide more representative test results
as not all test points within a matrix for
a given axle test will result in gear oil
temperatures within the same range.
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vi. Removal of Trailer Provisions
As part of the HD GHG Phase 2
rulemaking, we set standards for certain
types of trailers used in combination
with tractors (see 81 FR 73639, October
25, 2016). We are proposing to remove
the regulatory provisions related to
trailers in 40 CFR part 1037 to carry out
a decision by the U.S. Court of Appeals
for the D.C. Circuit, which vacated the
portions of the HD GHG Phase 2 final
rule that apply to trailers.619 The
proposed revisions include removal of
specific sections and paragraphs
describing trailer provisions and related
references throughout the part.
Additionally, we are proposing new
regulatory text for an existing test
procedure that currently refers to a
trailer test procedure. The existing 40
CFR 1037.527 describes a procedure for
manufacturers to measure aerodynamic
performance of their vocational vehicles
by referring to the A to B testing
methodology for trailers in 40 CFR
1037.525. We are proposing to copy the
regulatory text describing A to B testing
from the trailer procedure into 40 CFR
1037.527 (such that it replaces the crossreferencing regulatory text).
vii. Removal of 40 CFR 1037.205(q)
We are proposing to correct an
inadvertent error and remove the
existing 40 CFR 1037.205(q). This
paragraph contains requirements we
proposed in HD2027 but did not finalize
and thus did not intend to include in
the final rule’s amendatory instructions,
regarding information for battery
electric vehicles and fuel cell electric
618 See proposed revisions in 40 CFR 1037.150(c)
and 1037.730(b).
619 Truck Trailer Manufacturers Association v.
EPA, 17 F.4th 1198 (D.C. Cir. 2021).
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vehicles to show they meet the
standards of 40 CFR part 1037.
viii. Adding Full Cylinder Deactivation
to 40 CFR 1037.520(j)(1)
We are proposing to credit vehicles
with engines that include full cylinder
deactivation during coasting at 1.5
percent. We believe this is appropriate
since the same 1.5 percent credit is
currently provided for tractors and
vocational vehicles with neutral
coasting, and both technologies reduce
CO2 emissions by reducing the engine
braking during vehicle coasting.620
Cylinder deactivation can reduce engine
braking by closing both the intake and
exhaust valves when there is no
operator demand to reduce the pumping
losses of the engine when motoring.
Because of this, only vehicles with
engines where both exhaust and intake
valves are closed when the vehicle is
coasting would qualify for the 1.5
percent credit.
ix. Removal of Chassis Testing Option
Under 40 CFR 1037.510 and Reference
Update
We are proposing to remove the
chassis dynamometer testing option for
testing over the duty cycles as described
in 40 CFR 1037.510(a). The chassis
dynamometer testing was available as
an option for Phase 1 testing in 40 CFR
1037.615. We are proposing to remove
it to avoid confusion as the chassis
dynamometer testing option is only
allowed when performing off-cycle
testing following 40 CFR 1037.610 and
is not allowed for creating the cycle
average fuel map for input into GEM.
Note that manufacturers may continue
to test vehicles on a chassis
dynamometer to quantify off-cycle
credits under 40 CFR 1037.610.
We are also proposing to correct
paragraph reference errors in 40 CFR
1037.510(a)(2)(iii) and (iv). These
paragraphs reference the warmup
procedure in 40 CFR 1036.520(c)(1). The
warmup procedure is actually located in
40 CFR 1036.520(d).
x. Utility Factor Clarification for Testing
Engines With a Hybrid Power Takeoff
Shaft
We are proposing to clarify the
variable description for the utility factor
fraction UFRCD in 40 CFR
1037.540(f)(3)(ii). The current
description references the use of an
‘‘approved utility factor curve’’. The
original intent was to use the power take
off utility factors that reside in
620 See the HD GHG Phase 2 rule (81 FR 73598,
October 25, 2016), for more information on how 1.5
percent was determined for neutral coasting.
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26023
Appendix E to 40 CFR part 1036 to
generate a utility factor curve to
determine UFRCD. We are proposing to
clarify this by replacing ‘‘approved
utility factor curve’’ with a reference to
the utility factors in Appendix E.
xi. Heavy-Duty Vehicles at or Below
14,000 Pounds GVWR
The standards proposed in this rule
would apply for all heavy-duty vehicles
above 14,000 pounds GVWR, except as
noted in existing 40 CFR 1037.150(l).
We are not proposing changes to the
option for manufacturers to voluntarily
certify incomplete vehicles at or below
14,000 pounds GVWR to 40 CFR part
1037 instead of certifying under 40 CFR
part 86, subpart S; the proposed
standards in this rule would also apply
for those incomplete heavy-duty
vehicles. We propose to remove 40 CFR
1037.104, which currently states that
HD vehicles subject to 40 CR part 86,
subpart S, are not subject to the 40 CFR
1037 standards; instead, we propose
that manufacturers refer to 40 CFR
1037.5 for excluded vehicles.621
In a parallel rulemaking to set new
emission standards for light-duty and
medium-duty vehicles under 40 CFR
part 86, subpart S, we intend to propose
a requirement for those vehicles at or
below 14,000 pounds GVWR with a
high tow rating to have installed engines
that have been certified to the enginebased criteria emission standards in 40
CFR part 1036. This would apply for
both complete vehicles and incomplete
vehicles with Gross Combined Weight
Rating above 22,000 pounds. Some of
those vehicles would continue to meet
GHG standards under 40 CFR 86.1819
instead of meeting the engine-based
GHG standards in 40 CFR part 1036 and
the vehicle-based GHG standards in 40
CFR part 1037. In particular, under the
parallel proposed rule, manufacturers of
incomplete vehicles at or below 14,000
pounds GVWR with a high tow rating
would continue to have the option of
either meeting the greenhouse gas
standards under 40 CFR parts 1036 and
1037, or instead meeting the greenhouse
gas standards with chassis-based
measurement procedures under 40 CFR
part 86, subpart S.
xii. Updates to Optional Standards for
Tractors at or Above 120,000 Pounds
In HD GHG Phase 2 and in a
subsequent rulemaking, we adopted
optional heavy Class 8 tractor CO2
emission standards for tractors with a
GCWR above 120,000 pounds (see 40
621 This proposed change includes removing the
reference to 40 CFR 1037.104 in 40 CFR1037.1.
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CFR 1037.670).622 We did this because
most manufacturers tend to rely on U.S.
certificates as their evidence of
conformity for products sold into
Canada to reduce compliance burden.
Therefore, in Phase 2 we adopted
provisions that allow the manufacturers
the option to meet standards that reflect
the appropriate technology
improvements, along with the
powertrain requirements that go along
with higher GCWR. While these heavy
Class 8 tractor standards are optional for
tractors sold into the U.S. market,
Canada adopted these as mandatory
requirements as part of their regulatory
development and consultation process.
We propose to sunset the optional
standards after MY 2026.623
xiii. Updates to 40 CFR Part 1037
Definitions
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We are proposing several updates to
the definitions in 40 CFR 1037.801. As
noted in Section III.C.3.vi, we are
proposing to remove the trailer
provisions, which include removing the
following definitions: Box van,
container chassis, flatbed trailer,
standard tractor, and tank trailer. We
also propose to revise several
definitions to remove references to
trailers or trailer-specific sections,
including definitions for: Class, heavyduty vehicle, low rolling resistance tire,
manufacturer, model year, Phase 1,
Phase 2, preliminary approval, small
manufacturer, standard payload, tire
rolling resistance, trailer, and vehicle.
We also propose new and updated
definitions in support of several
proposed requirements in Section II or
this Section III. We propose to replace
the existing definition of ‘‘electric
vehicle’’ with more specific definitions
for the different vehicle technologies
and energy sources that could be used
to power these vehicles. Specifically, we
propose new definitions for battery
electric vehicle, fuel cell electric
vehicle, and plug-in hybrid electric
vehicle. We also propose to replace the
existing definition of ‘‘hybrid engine or
hybrid powertrain’’ with a definition of
‘‘hybrid’’ that refers to a revised
definition in 40 CFR part 1036.624 We
also propose to update U.S.-directed
production volume to be equivalent to
nationwide production.
622 81 FR 73582 (October 25, 2016) and 86 FR
34338 (June 29, 2021).
623 This proposed sunset would remove the
standards listed in the rightmost column of existing
Table 1 of § 1037.670; we note that the column is
intended for model years 2027 and later standards,
but is mistakenly labeled ‘‘Model years 2026 and
later’’.
624 See Section III.C.2.xii for a description of the
updated definition of hyrid.
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We propose several editorial revisions
to definitions as well. We propose to
revise the definition of vehicle to
remove the text of existing paragraph
(2)(iii) and move the main phrase of that
removed paragraph (i.e., ‘‘when it is first
sold as a vehicle’’) to the description of
‘‘complete vehicle’’ to further clarify
that aspect of the existing definition. We
propose to revise the existing definition
of small manufacturer, in addition to the
proposed revisions removing reference
to trailers, to clarify that the employee
and revenue limits include the totals
from all affiliated companies and added
a reference to the definition of affiliated
companies in 40 CFR 1068.30.
xiv. Miscellaneous Corrections and
Clarifications in 40 CFR Part 1037
We are proposing to revise several
references to 40 CFR part 86 revisions.
Throughout 40 CFR part 1037, we are
proposing to replace references to 40
CFR 86.1816 or 86.1819 with a more
general reference to the standards of
part 86, subpart S. We propose these
revisions to reduce the need to update
references to specific part 86 sections if
new standards are added to a different
section in a future rule. We are not
proposing to revise any references to
specific part 86 paragraphs (e.g., 40 CFR
86.1819–14(j)).
We propose to move the duplicative
statements in 40 CFR 1036.105(c) and
1037.106(c) regarding CH4 and N2O
standards from their current locations to
40 CFR 1037.101(a)(2)(i) where we
currently describe the standards that
apply in part 1037. We also propose to
update 40 CFR 1037.101(a)(2)(i) to more
accurately state that only CO2 standards
are described in 40 CFR 1037.105 and
1037.106, by removing reference to CH4
and N2O in that sentence. We propose
to update the section title for 40 CFR
1037.102 to include the term ‘‘Criteria’’
and the list of components (i.e., NOX,
HC, PM, and CO) covered by the section
to be consistent with the naming
convention used in 40 CFR part 1036.
4. Updates to 40 CFR Part 1065 Engine
Testing Procedures
i. Engine Testing and Certification With
Fuels Other Than Carbon-Containing
Fuels
Alternative fuels and fuels other than
carbon-containing fuels are part of the
fuel pathway for sustainable biofuel, efuel, and clean hydrogen development
under the U.S. National Blueprint for
Transportation Decarbonization.625 This
625 The U.S. National Blueprint for Transportation
Decarbonization: A Joint Strategy to Transform
Transportation. DOE/EE–2674. January 2023.
Available at: https://www.energy.gov/sites/default/
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blueprint anticipates a mix of battery
electric, sustainable fuel, and hydrogen
use to achieve a net zero carbon
emissions level by 2050 for the heavyduty sector. EPA is proposing updates to
40 CFR part 1065 to facilitate
certification of engines using fuels other
than carbon-containing fuels for all
sectors that use engine testing to show
compliance with the standards. This
includes a new definition of ‘‘carboncontaining fuel’’ in 40 CFR 1065.1001,
and the proposed addition of a new
chemical balance procedure in section
40 CFR 1065.656 that would be used in
place of the carbon-based chemical
balance procedure in 40 CFR 1065.655
when an engine is certified for operation
using fuels other than carbon-containing
fuels (e.g., hydrogen or ammonia).626
Since these fuels do not contain carbon,
the current carbon-based chemical
balance cannot be used as it is designed
based on comparisons of the amount of
carbon in the fuel to the amount
measured post combustion in the
exhaust. The chemical balance for fuels
other than carbon-containing fuels looks
at the amount of hydrogen in the fuel
versus what is measured in the exhaust.
The proposed amendments also
facilitate certification of an engine on a
mix of carbon-containing fuels and fuels
other than carbon-containing fuels.
The proposed addition of the
certification option for fuels other than
carbon-containing fuels relies on inputs
requiring hydrogen, ammonia, and
water concentration measurement from
the exhaust. Therefore, we are
proposing the addition of new sections
in 40 CFR part 1065 and proposing
revisions to some existing sections to
support the procedure in 40 CFR
1065.656. We are proposing a new 40
CFR 1065.255 to provide specifications
for hydrogen measurement devices, a
new 40 CFR 1065.257 to provide
specifications for water measurement
using a Fourier Transform Infrared
(FTIR) analyzer, and a new 40 CFR
1065.277 to provide specifications for
ammonia measurement devices. These
additions also require a proposed new
40 CFR 1065.357 to address CO2
interference when measuring water
using an FTIR analyzer, a proposed new
40 CFR 1065.377 to address H2O
interference and any other interference
species as deemed by the instrument
manufacturer or using good engineering
judgment when measuring NH3 using an
FTIR or laser infrared analyzers, and the
files/2023-01/the-us-national-blueprint-fortransportation-decarbonization.pdf.
626 We are also proposing a definition for
‘‘carbon-containing fuel’’ in 40 CFR 1036.801 that
references the proposed new 40 CFR part 1065
definition.
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proposed addition of calibration gases
for these new analyzer types to 40 CFR
1065.750. We are also proposing to add
drift check requirements to 40 CFR
1065.550(b) to address drift correction
of the H2, O2, H2O, and NH3
measurements needed in the 40 CFR
1065.656 procedure. This also includes
the proposed addition of drift check
requirements in 40 CFR
1065.935(g)(5)(ii) for testing with PEMS.
We are also proposing to add a new 40
CFR 1065.750(a)(6) to address the
uncertainty of the water concentrations
generated to perform the linearity
verification of the water FTIR analyzer
in 40 CFR 1065.257. We are proposing
two options to generate a humid gas
stream. The first is via a heated bubbler
where dry gas is passed through the
bubbler at a controlled water
temperature to generate a gas with the
desired water content. The second is a
device that injects heated liquid water
into a gas stream. We are proposing
linearity verification of the humidity
generator once a year to an uncertainty
of ± 3 percent; 627 however, we are not
proposing to require that the calibration
of the humidity generator should be
NIST traceable and request comment on
whether that calibration should be NIST
traceable. We are proposing a
requirement for a leak check after the
humidity generator is assembled, as
these devices are typically disassembled
and stored when not in use and
subsequent assembly prior to use could
lead to leaks in the system. We are
proposing to include calculations to
determine the uncertainty of the
humidity generator from measurements
of dewpoint and absolute pressure. We
are proposing a new definition for
‘‘carbon-containing fuel’’ and ‘‘leanburn’’ in 40 CFR 1065.1001 to further
support the addition of the certification
option for engines using fuels other than
carbon-containing fuels. We request
comment on these proposed changes
and their ability to allow certification of
engines using fuels other than carboncontaining fuels.
We also request comment on whether
we should add specifications for
alternative test fuels, like methanol, and
fuels other than carbon-containing fuels
like hydrogen and ammonia, to 40 CFR
part 1065, subpart H. Currently, 40 CFR
1065.701(c) allows the use of test fuels
that we do not specify in 40 CFR part
1065, subpart H, with our approval. If a
comment is submitted that fuel
627 The proposed verification schedule in 40 CFR
1065.750(a)(6) says: ‘‘Calibrate the humidity
generator upon initial installation, within 370 days
before verifying the H2O measurement of the FTIR,
and after major maintenance.’’.
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specifications should be included for
these alternate test fuels, we request that
the comment include specifications for
the fuels the comment specifies should
be included.
ii. Engine Speed Derate for Exhaust
Flow Limitation
We are proposing a change to 40 CFR
1065.512(b)(1) to address the
appearance of three options for
generating new reference duty-cycle
points for the engine to follow. The
option in the existing 40 CFR
1065.512(b)(1)(i) isn’t actually an option
and instead gives direction on how to
operate the dynamometer (torque
control mode). Under our proposed
revision, this sentence would be
retained and moved into a new 40 CFR
1065.512(b)(1)(i) that contains some
existing text split off from the current 40
CFR 1065.512(b)(1). The two remaining
options in the current 40 CFR
1065.512(b)(1)(ii) and (iii) would be
redesignated as 40 CFR
1065.512(b)(1)(i)(A) and (B). The
proposed restructuring of 40 CFR
1065.512(b)(1) and its subparagraphs
address the proposed edits described in
the following paragraph.
We are proposing a change to 40 CFR
1065.512(b)(1) to address cycle
validation issues where an engine with
power derate intended to limit exhaust
mass flowrate might include controls
that reduce engine speed under coldstart conditions, resulting in reduced
exhaust flow that assists other
aftertreatment thermal management
technologies (e.g. electric heater). In this
case, normalized speeds would generate
reference speeds above this engine
speed derate, which would adversely
affect cycle validation. To address this,
the proposed changes would provide
two options. The first option is if the
engine control module (ECM) broadcasts
the engine derate speed that is below
the denormalized speed, the broadcast
speed would then be used as the
reference speed for duty-cycle
validation. The second option is if an
ECM broadcast signal is not available,
the engine would be operated over one
or more practice cycles to determine the
engine derate speed as a function of
cycle time. Under this option, any cycle
reference speed that is greater than the
engine derate speed would be replaced
with the engine derate speed.
iii. Accelerated Aftertreatment Aging
We recently finalized a new
accelerated aftertreatment aging
procedure for use in deterioration factor
determination in 40 CFR 1065.1131
through 1065.1145. We request
comment on the need for potential
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26025
changes to the procedure based on
experience that manufacturers and test
labs have gained since the procedure
was finalized.
iv. Nonmethane Cutter Water
Interference Correction
We recently finalized options and
requirements for gaseous fueled engines
to allow a correction for the effect of
water on the nonmethane cutter (NMC)
performance, as gaseous fueled engines
produce much higher water content in
the exhaust than gasoline or diesel fuels,
impacting the final measured emission
result.628 The correction is done by
adjusting the methane and ethane
response factors used for the Total
Hydrocarbon (THC) Flame Ionization
Detector (FID) and the combine methane
response factor and penetration fraction
and combined ethane response factor
and penetration fraction of the NMC
FID. These response factors and
penetration fractions are then used to
determine NMHC and methane
concentrations based on the molar water
concentration in the raw or diluted
exhaust. EPA is aware that test labs that
have attempted to implement this
correction have reported that this new
option is lacking clarity with respect to
the implementation of these corrections
from both a procedural and emission
calculation perspective. Test labs and
manufacturers have also requested the
option to use the water correction for all
fuels, not just gaseous fuels. Test labs
and manufacturers have also stated that
in their view, as written, 40 CFR
1065.360(d)(12) indicates that the water
correction for the methane response
factor on the THC FID is required; we
note that was not our intent and are thus
proposing to clarify that provision.
In addition to general edits that
improve the consistency of terminology
and the rearrangement of some
paragraphs to improve the flow of the
procedure, we are proposing the
following changes to 40 CFR 1065.360,
1065.365, and 1065.660 to address the
concerns raised regarding
implementation and use of the NMC
performance corrections. In 40 CFR
1065.360 and 1065.365, we are
proposing to allow the optional use of
the water correction for the applicable
response factors and penetration
fractions for engines operated on any
fuel, as the use of the correction
improves the quality of the emission
measurement even though the effect is
less pronounced for liquid fuels. In 40
CFR 1065.360, we are proposing
revisions to clarify that determination of
the FID methane response factor as a
628 86
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function of molar water concentration is
optional for all fuels. In 40 CFR
1065.365, we are proposing to remove
the recommendation of a methane
penetration fraction of greater than 0.85
for the NMC FID because the procedure
will account for the effect of the
penetration fraction regardless of the
level of NMC methane penetration. We
are also proposing a corresponding
change in relation to another change
proposed in this rule, such that the
requirements for linearity performance
of the humidity generator would meet
the proposed uncertainty requirements
in 40 CFR 1065.750(a)(6) that we are
proposing to address the accuracy of
humidity generators used in the
calibration of the FTIRs used for water
measurement. In 40 CFR 1065.660, we
are proposing to modify equations
1065.660–2 and 1065.660–9 by adding
the variable for the methane response
factor and penetration fraction for the
NMC FID back into the equations,
which we previously removed for
simplification because the value was set
to a constant of one. This modification
would have no effect on the outcome of
the calculations in the event that the
effect of water on the NMC performance
is not being accounted for because the
procedure directs that the methane
response factor and penetration fraction
for the NMC FID are set to one. In the
event that the effect of water is being
accounted for, these modified equations
would make it easier to understand the
requirements of the procedure.
lotter on DSK11XQN23PROD with PROPOSALS2
v. ISO 8178 Exceptions in 40 CFR
1065.601
40 CFR 1065.601(c)(1) allows the use
of ISO 8178 mass-based emission
calculations instead of the calculations
specified in 40 CFR part 1065 subpart G
with two exceptions. We are proposing
to update the section reference to the
exception in 40 CFR 1065.601(c)(1)(i)
for NOX humidity and temperature
correction from ISO 8178–1 Section 14.4
to ISO 8178–4 Section 9.1.6 to address
updates made to ISO 8178 over the last
20 years that changed the location of
this correction. We are also proposing to
remove the exception for the use of the
particulate correction factor for
humidity in ISO 8178–1 Section 15.1
because this correction factor no longer
exists in ISO 8178.
vi. Work System Boundary in 40 CFR
1065.210
Figure 1 in 40 CFR 1065.210 provides
diagrams for the work inputs, outputs,
and system boundaries for engines. We
are proposing to update the diagram for
liquid cooled engines in Figure 1 to
paragraph (a) of 40 CFR 1065.210 to
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include electric heaters that use work
from an external power source. We are
also proposing to update 40 CFR
1065.210(a) to include an example of an
engine exhaust electrical heater and
direction on how to simulate the
efficiency of the electrical generator, to
account for the work of the electrical
heater. We are proposing an efficiency
of 67 percent, as this is the value used
in 40 CFR 86.1869–12(b)(4)(xiii) as the
baseline alternator efficiency when
determining off-cycle improvements of
high efficiency alternators. We request
comment on the proposed value of 67
percent and request that commenters
provide data if you comment that a
value different than 67 percent should
be used.
IV. Proposed Program Costs
In this section, we present the costs
we estimate would be incurred by
manufacturers and purchasers of HD
vehicles impacted by the proposed
standards. We also present the social
costs of the proposed standards. Our
analyses characterize the costs of the
technology package described in section
II.E of the preamble; however, as we
note there, manufacturers may elect to
comply using a different combination of
HD vehicle and engine technologies
than what we have identified. We break
the costs into the following categories
and subcategories:
(1) Technology Package Costs, which are
the sum of direct manufacturing costs (DMC)
and indirect costs. This may also be called
the ‘‘package RPE.’’ This includes:
a. DMC, which include the costs of
materials and labor to produce a product or
piece of technology.
b. Indirect costs, which include research
and development (R&D), warranty, corporate
operations (such as salaries, pensions, health
care costs, dealer support, and marketing),
and profits.629 We estimate indirect costs
using retail price equivalent (RPE) markups.
(2) Manufacturer Costs, or ‘‘manufacturer
RPE,’’ which is the package RPE less any
applicable battery tax credits. This includes:
a. Package RPE. Traditionally, the package
RPE is the manufacturer RPE in EPA cost
analyses.
b. Battery tax credit from IRA section
13502, ‘‘Advanced Manufacturing Production
Credit,’’ which serve to reduce manufacturer
costs. The battery tax credit is described
629 Technology costs represent costs that
manufacturers are expected to attempt to recapture
via new vehicle sales. As such, profits are included
in the indirect cost calculation. Clearly, profits are
not a ‘‘cost’’ of compliance—EPA is not imposing
new regulations to force manufacturers to make a
profit. However, profits are necessary for
manufacturers in the heavy-duty industry, a
competitive for-profit industry, to sustain their
operations. As such, manufacturers are expected to
make a profit on the compliant vehicles they sell,
and we include those profits in estimating
technology costs.
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further in Sections I and II of this preamble
and Chapters 1 and 2 of the DRIA.
(3) Purchaser Costs, which are the sum of
purchaser upfront vehicle costs and
operating costs. This includes:
a. Manufacturer RPE. In other words, the
purchaser incurs the manufacturer’s package
costs less any applicable battery tax credits.
We refer to this as the ‘‘manufacturer RPE’’
in relation to the manufacturer and, at times,
the ‘‘purchaser RPE’’ in relation to the
purchaser. These two terms are equivalent in
this analysis.
b. Vehicle tax credit from IRA section
13403, ‘‘Qualified Commercial Clean
Vehicles,’’ which serve to reduce purchaser
costs. The vehicle tax credit is described
further in Sections I and II of this preamble
and Chapters 1 and 2 of the DRIA.
c. Electric Vehicle Supply Equipment
(EVSE) costs, which are the costs associated
with charging equipment. Our EVSE cost
estimates include indirect costs so are
sometimes referred to as ‘‘EVSE RPE.’’
d. Purchaser upfront vehicle costs, which
include the manufacturer (also referred to as
purchaser) RPE plus EVSE costs less any
applicable vehicle tax credits.
e. Operating costs, which include fuel
costs, electricity costs, costs for diesel
exhaust fluid (DEF), and maintenance and
repair costs.
(4) Social Costs, which are the sum of
package RPE, EVSE RPE, and operating costs
and computed on at a fleet level on an annual
basis. This includes:
a. Package RPE which excludes applicable
tax credits.
b. EVSE RPE.
c. Operating costs which include pre-tax
fuel costs, DEF costs and maintenance and
repair costs.
d. Note that fuel taxes and battery and
vehicle tax credits are not included in the
social costs. Taxes and tax credits are
transfers as opposed to social costs.
We describe these costs and present
our cost estimates in the text that
follows. All costs are presented in 2021
dollars, unless noted otherwise. We
used the MOVES scenarios discussed in
DRIA Chapter 4, the reference and
proposed cases, 630 to compute
technology costs and operating costs as
well as social costs on an annual basis.
Our costs and tax credits estimated on
a per vehicle basis do not change
between the reference and proposal
cases, but the estimated vehicle
populations that would be ICE vehicles,
BEVs or FCEVs do change between the
reference and proposal cases. We expect
an increase in BEV and FCEV sales and
a decrease in ICE vehicle sales in the
proposal compared to the reference case
and these changes in vehicle
populations are the determining factor
630 As discussed in DRIA Chapter 4.2.2, the
reference case is a no-action scenario that
represents emissions in the U.S. without the
proposed rulemaking and the proposed case
represents emissions in the U.S. with the proposed
GHG standards.
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for total cost differences between the
reference and proposal cases.
But first we discuss the relevant IRA
tax credits and how we have considered
them in our estimates. Note that the
analysis that follows sometimes
presents undiscounted costs and
sometimes presents discounted costs.
We discount future costs and benefits to
properly characterize their value in the
present or, as directed by the Office of
Management and Budget in Advisory
Circular A–4, in the year costs and
benefits begin. Also in Circular A–4,
OMB directs use of both 3 and 7 percent
discount rates as we have done with
some exceptions.631 We request
comment, including data, on all aspects
of the cost analysis. In particular, we
request comment on our assessment of
the IRA tax credits (see Sections IV.C.2
and IV.D.2) and operating costs (see
Section IV.D.5). We also request
comment, including data, on alternative
approaches to estimating cost that may
help inform our cost estimates for the
final rulemaking.
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A. IRA Tax Credits
Our cost analysis quantitatively
includes consideration of two IRA tax
credits, specifically the battery tax
credit and the vehicle tax credit
discussed in Sections I.C.2 and II.E.4 of
the preamble and Chapters 1.3.2, 2.4.3,
and 3.1 of the DRIA. We note that a
detailed discussion of how these tax
credits were considered in our
consideration of costs in our technology
packages may be found in Section II.E
of the preamble and Chapter 2.4.3 of the
DRIA. The battery tax credits are
expected to reduce manufacturer costs,
and in turn purchaser costs, as
discussed in Section IV.C The vehicle
tax credits are expected to reduce
purchaser costs, as discussed in Section
IV.D.2. For the cost analysis discussed
in this Section IV, both the battery tax
credit and vehicle tax credit were
estimated for MYs 2027 through 2032
and then aggregated for each MOVES
source type and regulatory class.
We request comment on our
assessment of the impact of the IRA tax
credits.
B. Technology Package Costs
Technology package costs include
estimated technology costs associated
with compliance with the proposed MY
2027 and later CO2 emission standards
(see Chapter 3 of the DRIA). Individual
technology piece costs are presented in
Chapter 2 and 3 of the DRIA. In general,
for the first MY of each proposed
631 See Advisory Circular A–4, Office of
Management and Budget, September 17, 2003.
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26027
emission standard, the per vehicle
individual technology piece costs
consist of the DMC estimated for each
vehicle in the model year of the
proposed standards and are used as a
starting point in estimating both the
technology package costs and total
incremental costs. Following each year
of when costs are first incurred, we have
applied a learning effect to represent the
cost reductions expected to occur via
the ‘‘learning by doing’’
phenomenon.632 The ‘‘learning by
doing’’ phenomenon is the process by
which doing something over and over
results in learning how to do that thing
more efficiently which, in turn, leads to
reduced resource usage, i.e., cost
savings. This provides a year-over-year
cost for each technology as applied to
new vehicle production, which is then
used to calculate total technology
package costs of the proposed standards.
This technology package cost
calculation approach presumes that the
expected technologies would be
purchased by the vehicle original
equipment manufacturers (OEMs) from
their suppliers. So, while the DMC
estimates for the OEM in Section IV.B.1
include the indirect costs and profits
incurred by the supplier, the indirect
cost markups we apply in Section IV.B.2
cover the indirect costs incurred by
OEMs to incorporate the new
technologies into their vehicles and
profit margins for the OEM typical of
the heavy-duty vehicle industry. To
address these OEM indirect costs, we
then applied industry standard ‘‘retail
price equivalent’’ (RPE) markup factors
to the DMC to estimate indirect costs
associated with the new technology.
These factors represent an average price,
or retail price equivalent (RPE), for
products assuming all products
recapture costs in the same way. We
recognize that this is rarely the case
since manufacturers typically price
certain products higher than average
and others lower than average (i.e., they
cross-subsidize). For that reason, the
RPE should not be considered a price
but instead should be considered more
like the average cross-subsidy needed to
recapture both costs and profits to
support ongoing business operations.
Both the learning effects applied to
direct costs and the application of
markup factors to estimate indirect costs
are consistent with the cost estimation
approaches used in EPA’s past HD GHG
regulatory programs.633 The sum of the
1. Direct Manufacturing Costs
To produce a unit of output,
manufacturers incur direct and indirect
manufacturing costs. DMC include cost
of materials and labor costs. Indirect
manufacturing costs are discussed in the
following section, IV.A.2. The DMCs
presented here include the incremental
technology piece costs associated with
compliance with the proposed
standards as compared to the
technology piece costs associated with
the comparable baseline vehicle.634 We
based the proposed standards on
technology packages that include both
ICE vehicle and ZEV technologies. In
our analysis, the ICE vehicles include a
suite of technologies that represent a
vehicle that meets the existing MY 2027
Phase 2 CO2 emission standards.
Therefore, our direct manufacturing
costs for the ICE vehicles are considered
to be $0 because we did not add
additional CO2-reducing technologies to
the ICE vehicles beyond those in the
baseline vehicle. The DMC of the BEVs
or FCEVs are the technology piece costs
of replacing an ICE powertrain with a
BEV or FCEV powertrain for a
comparable vehicle.
Throughout this discussion, when we
refer to reference case costs we are
referring to our cost estimate of the noaction case (impacts absent this
proposed rule) which include costs
associated with replacing a comparable
ICE powertrain with a BEV or FCEV
powertrain for ZEV adoption rates in the
reference case.
We have estimated the DMC by
starting with the cost of the baseline
vehicle, removing the cost of the ICE
powertrain, and adding the cost of a
BEV or FCEV powertrain, as presented
in Chapter 2 and 3 of the DRIA. In other
words, net incremental costs reflect
adding the total costs of components
added to the powertrain to make it a
BEV or FCEV, as well as removing the
632 ‘‘Cost Reduction through Learning in
Manufacturing Industries and in the Manufacture of
Mobile Sources, Final Report and Peer Review
Report,’’ EPA–420–R–16–018, November 2016.
633 See the 2011 heavy-duty greenhouse gas rule
(76 FR 57106, September 15, 2011); the 2016 heavy-
duty greenhouse gas rule (81 FR 73478, October 25,
2016).
634 Baseline vehicles are ICE vehicles meeting the
Phase 2 standards discussed in DRIA chapter 2.2.2
and the Low NOX standards discussed in DRIA
chapter 2.3.2.
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DMC and indirect costs represents our
estimate of technology ‘‘package costs’’
or ‘‘package RPE’’ per vehicle year-overyear. These per vehicle technology
package costs are multiplied by
estimated sales for the proposed and
reference scenarios. Then the total
technology package-related costs for
manufacturers (total package costs or
total package RPE) associated with the
proposed HD vehicle CO2 standards is
the difference between the proposed
and reference scenarios.
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total costs of components removed from
a comparable ICE vehicle to make it a
BEV or FCEV.
Chapter 4 of the DRIA contains a
description of the MOVES vehicle
source types and regulatory classes. In
short, we estimate costs in MOVES for
vehicle source types that have both
regulatory class populations and
associated emission inventories. Also,
throughout this section, LHD refers to
light heavy-duty vehicles, MHD refers to
medium heavy-duty vehicles, and HHD
refers to heavy heavy-duty vehicles.
The direct costs are then adjusted to
account for learning effects on BEV,
FCEV and ICE vehicle powertrains on
an annual basis going forward beginning
with the first year of the analysis, e.g.
MY 2027, for the proposed and
reference scenarios. Overall, we
anticipate the number of ICE
powertrains (including engines and
transmissions) manufactured each year
will decrease as more ZEVs enter the
market. This scenario may lead to an
increase in component costs for ICE
powertrains. On the other hand, with
the inclusion of new hardware costs
projected to meet the HD2027 emission
standards, we would expect learning
effects would reduce the incremental
cost of these technologies. Chapter 3 of
the DRIA includes a detailed
description of the approach used to
apply learning effects in this analysis
and we request data and information to
refine our learning effects. The resultant
DMC per vehicle and how those costs
decrease over time on a fleet level are
presented in Section IV.E.1 of this
preamble. We request comment on this
approach, including methods for
accounting for the projected future ICE
costs.
2. Indirect Manufacturing Costs
Indirect manufacturing costs are all
the costs associated with producing the
unit of output that are not direct
manufacturing costs—for example, they
may be related to research and
development (R&D), warranty, corporate
operations (such as salaries, pensions,
health care costs, dealer support, and
marketing) and profits. An example of a
R&D cost for this proposal includes the
engineering resources required to
develop a battery state of health monitor
as described in Section III.B.1. An
example of a warranty cost is the future
cost covered by the manufacturer to
repair defective BEV or FCEV
components and meet the warranty
requirements proposed in Section
III.B.2. Indirect costs are generally
recovered by allocating a share of the
indirect costs to each unit of goods sold.
Although direct costs can be allocated to
each unit of goods sold, it is more
challenging to account for indirect costs
allocated to a unit of goods sold. To
ensure that regulatory analyses capture
the changes in indirect costs, markup
factors (which relate total indirect costs
to total direct costs) have been
developed and used by EPA and other
stakeholders. These factors are often
referred to as retail price equivalent
(RPE) multipliers and are typically
applied to direct costs to estimate
indirect costs. RPE multipliers provide,
at an aggregate level, the proportionate
share of revenues relative shares of
revenue where:
Revenue = Direct Costs + Indirect Costs
Revenue/Direct Costs = 1 + Indirect Costs/
Direct Costs = RPE multiplier
Resulting in:
Indirect Costs = Direct Costs × (RPE¥1)
If the relationship between revenues
and direct costs (i.e., RPE multiplier)
can be shown to equal an average value
over time, then an estimate of direct
costs can be multiplied by that average
value to estimate revenues, or total
costs. Further, that difference between
estimated revenues, or total costs, and
estimated direct costs can be taken as
the indirect costs. Cost analysts and
regulatory agencies have frequently
used these multipliers to predict the
resultant impact on costs associated
with manufacturers’ responses to
regulatory requirements and we are
using that approach in this analysis.
The proposed cost analysis estimates
indirect costs by applying the RPE
markup factor used in past EPA
rulemakings (such as those setting GHG
standards for heavy-duty vehicles and
engines).635 The markup factors are
based on company filings with the
Securities and Exchange Commission
for several engine and engine/vehicle
manufacturers in the heavy-duty
industry.636 The RPE factors for the HD
vehicle industry as a whole are shown
in Table IV–1. Also shown in Table IV–
1 are the RPE factors for light-duty
vehicle manufacturers.637
TABLE IV–1—RETAIL PRICE EQUIVALENT FACTORS IN THE HEAVY-DUTY AND LIGHT-DUTY INDUSTRIES
HD truck
industry 638
Cost contributor
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Direct manufacturing cost ........................................................................................................................................
Warranty ..................................................................................................................................................................
R&D .........................................................................................................................................................................
Other (admin, retirement, health, etc.) ....................................................................................................................
Profit (cost of capital) ...............................................................................................................................................
RPE ..........................................................................................................................................................................
For this analysis, EPA based indirect
cost estimates for diesel and compressed
natural gas (CNG) regulatory classes on
the HD Truck Industry RPE value shown
in Table IV–1. We are using an RPE of
1.42 to compute the indirect costs
associated with the replacement of a
diesel-fueled or CNG-fueled powertrain
with a BEV or FCEV powertrain. For
635 76
FR 57106; 81 FR 73478.
Duty Truck Retail Price Equivalent and
Indirect Cost Multipliers, Draft Report, July 2010.
636 Heavy
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1.00
0.03
0.05
0.29
0.05
1.42
LD vehicle
industry
1.00
0.03
0.05
0.36
0.06
1.50
this analysis, EPA based indirect cost
estimates for gasoline regulatory classes
on the LD Vehicle RPE value shown in
Table IV–1. We are using an RPE of 1.5
to compute the indirect costs associated
with the replacement of a gasolinefueled powertrain with a BEV or FCEV
powertrain. The heavy-duty vehicle
industry is becoming more vertically
integrated and the direct and indirect
manufacturing costs we are analyzing
are those that reflect the technology
packages costs OEMs would try to
recover at the end purchaser, or retail,
level. For that reason, we believe the
two respective vehicle industry RPE
values represent the most appropriate
factors for this analysis. We request data
637 Rogozhin,A., et al., Using indirect cost
multipliers to estimate the total cost of adding new
technology in the automobile industry.
International Journal of Production Economics
(2009), doi:10.1016/j.ijpe.2009.11.031.
638 Note that the report used the term ‘‘HD Truck’’
while EPA generally uses the term ‘‘HD vehicle;’’
they are equivalent when referring to this report.
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to inform RPE factors for the heavy-duty
industry.
3. Vehicle Technology Package RPE
Table IV–2 presents the total fleetwide incremental technology costs
estimated for the proposal relative to the
reference case for the projected adoption
of ZEVs in our technology package
relative to the reference case on an
annual basis. As previously explained
in this section, the costs shown in Table
IV–2 reflect marginal direct and indirect
manufacturing costs of the technology
package for the proposed CO2 standards
as compared to the baseline vehicle.
It is important to note that these are
costs and not prices. We do not attempt
to estimate how manufacturers would
price their products in the technology
package costs. Manufacturers may pass
costs along to purchasers via price
increases that reflect actual incremental
costs to manufacture a ZEV when
compared to a comparable ICE vehicle.
However, manufacturers may also price
products higher or lower than what
would be necessary to account for the
incremental cost difference. For
instance, a manufacturer may price
certain products higher than necessary
and price others lower with the higherpriced products effectively subsidizing
the lower-priced products. This pricing
strategy may be true in any market and
is not limited to the heavy-duty vehicle
industry. It may be used for a variety of
reasons, not solely as a response to
regulatory programs.
the proposal relative to the reference
case in 2021 dollars. These estimates
were based on the detailed discussion in
DRIA Chapter 2 of how we considered
battery tax credits. Both BEVs and
FCEVs include a battery in the
powertrain system that may meet the
Vehicle pack- IRA battery tax credit requirements if
age RPE
the applicable criteria are met. The
battery tax credits begin to phase down
750
starting in CY 2030 and expire after CY
620
410 2032.
TABLE IV–2—TOTAL FLEET-WIDE INCREMENTAL TECHNOLOGY COSTS
FOR ZEVS, FOR THE PROPOSED OPTION RELATIVE TO THE REFERENCE
CASE MILLIONS OF 2021 DOLLARS a—Continued
Calendar year
2036 ......................................
2037 ......................................
2038 ......................................
2039 ......................................
2040 ......................................
2041 ......................................
2042 ......................................
2043 ......................................
2044 ......................................
2045 ......................................
2046 ......................................
2047 ......................................
2048 ......................................
2049 ......................................
2050 ......................................
2051 ......................................
2052 ......................................
2053 ......................................
2054 ......................................
2055 ......................................
PV, 3% ..................................
PV, 7% ..................................
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
9,000
10,000
a Values rounded to two significant digits;
negative values denote lower costs, i.e., savings in expenditures.
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......................................
......................................
......................................
......................................
......................................
......................................
......................................
1,700
2,000
2,300
2,000
1,500
1,300
1,000
TABLE IV–3—BATTERY TAX CREDIT IN
MILLIONS OF 2021 DOLLARS FOR
THE PROPOSED OPTION RELATIVE
TO THE REFERENCE CASE a
Battery tax
credits
Calendar year
2027 ......................................
2028 ......................................
2029 ......................................
2030 ......................................
2031 ......................................
2032 ......................................
2033 and later ......................
PV, 3% ..................................
PV, 7% ..................................
a Values
$340
560
880
890
650
380
0
3,300
2,900
rounded to two significant digits.
3. Manufacturer RPE
C. Manufacturer Costs
1. Relationship to Technology Package
RPE
The manufacturer costs in EPA’s past
HD GHG rulemaking cost analyses on an
average-per-vehicle basis was only the
TABLE IV–2—TOTAL FLEET-WIDE IN- average-per-vehicle technology package
CREMENTAL TECHNOLOGY COSTS RPE described in Section II.F.5.i.
FOR ZEVS, FOR THE PROPOSED OP- However, in the cost analysis for this
TION RELATIVE TO THE REFERENCE proposal, we are also taking into
CASE MILLIONS OF 2021 DOLLARS a account the IRA battery tax credit in our
estimates of manufacturer costs (also
referred to in this section as
Vehicle
packCalendar year
manufacturer’s RPE), as we expect the
age RPE
battery tax credit to reduce
2027 ......................................
$2,000 manufacturer costs, and in turn
2028 ......................................
1,800 purchaser costs.
2029
2030
2031
2032
2033
2034
2035
26029
The manufacturer RPE for BEVs is
calculated by subtracting the battery tax
credit in Table IV–3 from the
corresponding technology package RPE
from Table IV–2 and the resultant
manufacturer RPE is shown in Table IV–
4. Table IV–4 reflects learning effects on
vehicle package RPE and battery tax
credits from CY 2027 through 2055. The
sum of the vehicle package RPE and
battery tax credits for each year is
shown in the manufacturer RPE column.
The difference in manufacturer RPE
between the proposal and reference case
is presented in Table IV–4.
2. Battery Tax Credit
Table IV–3 shows the annual
estimated fleet-wide battery tax credits
from IRA section 13502, ‘‘Advanced
Manufacturing Production Credit,’’ for
TABLE IV–4—TOTAL VEHICLE PACKAGE RPE, BATTERY TAX CREDITS, AND MANUFACTURER RPE (INCLUDING BATTERY
TAX CREDITS) FOR THE PROPOSED OPTION RELATIVE TO THE REFERENCE CASE, ALL REGULATORY CLASSES AND
ALL FUELS, MILLIONS OF 2021 DOLLARS a
Vehicle
package RPE
Calendar year
2027
2028
2029
2030
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
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E:\FR\FM\27APP2.SGM
$2,000
1,800
1,700
2,000
27APP2
Battery tax
credits
¥$340
¥560
¥880
¥890
Manufacturer
RPE
$1,600
1,200
820
1,100
26030
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE IV–4—TOTAL VEHICLE PACKAGE RPE, BATTERY TAX CREDITS, AND MANUFACTURER RPE (INCLUDING BATTERY
TAX CREDITS) FOR THE PROPOSED OPTION RELATIVE TO THE REFERENCE CASE, ALL REGULATORY CLASSES AND
ALL FUELS, MILLIONS OF 2021 DOLLARS a—Continued
Vehicle
package RPE
Calendar year
2031 .............................................................................................................................................
2032 .............................................................................................................................................
2033 .............................................................................................................................................
2034 .............................................................................................................................................
2035 .............................................................................................................................................
2036 .............................................................................................................................................
2037 .............................................................................................................................................
2038 .............................................................................................................................................
2039 .............................................................................................................................................
2040 .............................................................................................................................................
2041 .............................................................................................................................................
2042 .............................................................................................................................................
2043 .............................................................................................................................................
2044 .............................................................................................................................................
2045 .............................................................................................................................................
2046 .............................................................................................................................................
2047 .............................................................................................................................................
2048 .............................................................................................................................................
2049 .............................................................................................................................................
2050 .............................................................................................................................................
2051 .............................................................................................................................................
2052 .............................................................................................................................................
2053 .............................................................................................................................................
2054 .............................................................................................................................................
2055 .............................................................................................................................................
PV, 3% .........................................................................................................................................
PV, 7% .........................................................................................................................................
a Values
¥650
¥380
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
¥3,300
¥2,900
Manufacturer
RPE
1,700
1,700
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
5,700
7,100
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
learning effect as shown in DRIA
Chapter 2. Beginning in CY 2033, the
tax credit program expires.
D. Purchaser Costs
1. Purchaser RPE
The purchaser RPE is the estimated
upfront vehicle cost paid by the
purchaser prior to considering the IRA
vehicle tax credits. Note, as explained in
Section IV.C, we do consider the IRA
battery tax credit in estimating the
manufacturer RPE, which in this
analysis we then consider to be
equivalent to the purchaser RPE because
we assume full pass-through of the IRA
battery tax credit from the manufacturer
to the purchaser. In other words, in this
analysis, the manufacturer RPE and
purchaser RPE are equivalent terms. The
purchaser RPEs reflect the same values
as the corresponding manufacturer RPEs
presented in Section IV.C.3.
2. Vehicle Purchase Tax Credit
lotter on DSK11XQN23PROD with PROPOSALS2
2,300
2,000
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
9,000
10,000
Battery tax
credits
Table IV–5 shows the annual
estimated vehicle tax credit for BEV and
FCEV vehicles from IRA section 13403,
‘‘Qualified Commercial Clean Vehicles,’’
for the proposal relative to the reference
case, in 2021 dollars. These estimates
were based on the detailed discussion in
DRIA Chapter 2 of how we considered
vehicle tax credits. The vehicle tax
credits carry through to MY 2032 with
the value diminishing over time as
vehicle costs decrease due to the
VerDate Sep<11>2014
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TABLE IV–5—VEHICLE TAX CREDIT IN
MILLIONS 2021 DOLLARS FOR THE
PROPOSED OPTION RELATIVE TO
THE REFERENCE CASE a
Calendar year
Tax credit
2027 ......................................
2028 ......................................
2029 ......................................
2030 ......................................
2031 ......................................
2032 ......................................
2033 and later ......................
PV, 3% ..................................
PV, 7% ..................................
a Values
$810
670
630
1,100
1,600
1,900
0
5,900
5,000
rounded to two significant digits.
3. Electric Vehicle Supply Equipment
Costs
EVSE and associated costs are
described in Chapter 2.6 of the DRIA.
EVSE is needed for charging of BEVs
and is not needed for FCEVs.639 The
639 As discussed in DRIA Chapter 2.5, rather than
focusing on depot hydrogen fueling infrastructure
costs that would be incurred upfront, we included
FCEV infrastructure costs in our per-kilogram retail
price of hydrogen. Retail price of hydrogen is the
total price of hydrogen when it becomes available
to the end user, including the costs of production,
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EVSE cost estimates are assumed to
include both direct and indirect costs
and are sometimes referred to in this
proposal as EVSE RPE costs. For these
EVSE cost estimates, we assume that up
to two vehicles can share one DCFC port
if there is sufficient dwell time for both
vehicles to meet their daily charging
needs.640 While fleet owners may also
choose to share Level 2 chargers across
vehicles, we are conservatively
assigning one Level 2 charger per
vehicle. As discussed in the DRIA, we
assume that EVSE costs are incurred by
purchasers, i.e. heavy-duty vehicle
purchasers/owners. Some purchasers
may be eligible for a Federal tax credit
for charging equipment.641 See DRIA
distribution, storage, and dispensing at a fueling
station. This approach is consistent with the
method we use in HD TRUCS for comparable ICE
vehicles, where the equivalent diesel fuel costs are
included in the diesel fuel price instead of
accounting for the costs of fuel stations separately.
640 We note that for some of the vehicle types we
evaluated, more than two vehicles could share a
DCFC port and still meet their daily electricity
consumption needs. However, we are choosing to
limit DCFC sharing to two vehicles per EVSE port
pending market developments and more robust
dwell time estimates.
641 IRA Section 13404, ‘‘Alternative Fuel
Refueling Property Credit,’’ modifies an existing
Federal tax credit available for alternative fuel
refueling property, including EV charging
equipment, and extends the tax credit through
E:\FR\FM\27APP2.SGM
27APP2
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
Chapter 1.3.2 for a discussion of this tax
credit and DRIA Chapter 2.6.5.2 for a
description of how we considered it in
our cost analysis. We analyzed EVSE
costs in 2021 dollars on a fleet-wide
basis for this analysis. The annual costs
associated with EVSE in the proposal
relative to the reference case are shown
in Table IV–6.
We request comment on our estimated
EVSE costs as well as our proposal to
add EVSE costs to each vehicle’s
purchaser RPE costs in estimating
purchaser costs.
TABLE IV–6—EVSE COSTS FOR THE
PROPOSED OPTION RELATIVE TO
THE REFERENCE CASE, MILLIONS
2021 DOLLARS a
Calendar year
2027
2028
2029
2030
2031
2032
......................................
......................................
......................................
......................................
......................................
......................................
EVSE costs
$1,300
1,600
1,900
2,000
2,200
2,600
TABLE IV–6—EVSE COSTS FOR THE
PROPOSED OPTION RELATIVE TO
THE REFERENCE CASE, MILLIONS
2021 DOLLARS a—Continued
Calendar year
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
TABLE IV–6—EVSE COSTS FOR THE
PROPOSED OPTION RELATIVE TO
THE REFERENCE CASE, MILLIONS
2021 DOLLARS a—Continued
EVSE costs
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
2,600
2,600
2,500
2,500
2,500
2,500
2,600
2,600
2,600
2,600
2,700
2,700
2,700
2,700
2,700
2,700
2,800
2,800
2,800
2,900
2,900
2,900
26031
Calendar year
EVSE costs
2055 ......................................
PV, 3% ..................................
PV, 7% ..................................
a Values
2,900
47,000
29,000
rounded to two significant digits.
4. Purchaser Upfront Vehicle Costs
The expected upfront incremental
costs to the purchaser include the
purchaser RPE discussed in Section
IV.D.1 less the vehicle tax credit
discussed in Section IV.D.2 plus the
EVSE RPE in IV.D.3. Table IV–7 shows
the estimated incremental upfront
purchaser costs for BEVs and FCEVs by
calendar year for the proposed option
relative to the reference case. Note that
EVSE costs are associated with BEVs
only; FCEVs do not have any associated
EVSE costs.
TABLE IV–7—INCREMENTAL PURCHASER UPFRONT COSTS FOR THE PROPOSED OPTION RELATIVE TO THE REFERENCE
CASE FOR IN MILLIONS 2021 DOLLARS a
Purchaser
RPE
lotter on DSK11XQN23PROD with PROPOSALS2
Calendar year
2027 .................................................................................................................
2028 .................................................................................................................
2029 .................................................................................................................
2030 .................................................................................................................
2031 .................................................................................................................
2032 .................................................................................................................
2033 .................................................................................................................
2034 .................................................................................................................
2035 .................................................................................................................
2036 .................................................................................................................
2037 .................................................................................................................
2038 .................................................................................................................
2039 .................................................................................................................
2040 .................................................................................................................
2041 .................................................................................................................
2042 .................................................................................................................
2043 .................................................................................................................
2044 .................................................................................................................
2045 .................................................................................................................
2046 .................................................................................................................
2047 .................................................................................................................
2048 .................................................................................................................
2049 .................................................................................................................
2050 .................................................................................................................
2051 .................................................................................................................
2052 .................................................................................................................
2053 .................................................................................................................
2054 .................................................................................................................
2055 .................................................................................................................
PV, 3% .............................................................................................................
PV, 7% .............................................................................................................
a Values
$1,600
1,200
820
1,100
1,700
1,700
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
5,700
7,100
Vehicle
purchase tax
credit
¥$810
¥670
¥630
¥1,100
¥1,600
¥1,900
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
¥5,900
¥5,000
EVSE costs
$1,300
1,600
1,900
2,000
2,200
2,600
2,600
2,600
2,500
2,500
2,500
2,500
2,600
2,600
2,600
2,600
2,700
2,700
2,700
2,700
2,700
2,700
2,800
2,800
2,800
2,900
2,900
2,900
2,900
47,000
29,000
Total upfront
purchaser
cost
$2,200
2,100
2,100
2,100
2,300
2,400
4,100
3,800
3,500
3,200
3,100
3,000
2,800
2,700
2,600
2,400
2,300
2,300
2,100
2,000
1,900
1,900
1,800
1,700
1,700
1,700
1,600
1,500
1,400
47,000
31,000
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
2032. Beginning in 2023, this provision provides a
tax credit of up to 30 percent of the cost of the
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qualified alternative fuel refueling property (e.g. HD
BEV charger), up to 100,000, when located in low-
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income or non-urban area census tracts and certain
other other requirements are met.
E:\FR\FM\27APP2.SGM
27APP2
26032
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
5. Operating Costs
We have estimated three types of
operating costs associated with the
proposed HD Phase 3 CO2 emission
standards and our potential projected
technology pathway to comply with
those proposed standards that includes
BEV or FCEV powertrains. These three
types of operating costs include
decreased fuel costs of BEVs compared
to comparable ICE vehicles, avoided
diesel exhaust fluid (DEF) consumption
by BEVs and FCEVs compared to
comparable diesel-fueled ICE vehicles,
and reduced maintenance and repair
costs of BEVs and FCEVs as compared
to comparable ICE vehicles. To estimate
each of these costs, the results of
MOVES runs, as discussed in DRIA
Chapter 4, were used to estimate costs
associated with fuel consumption, DEF
consumption, and VMT. We have
estimated the net effect on fuel costs,
DEF costs, and maintenance and repair
costs. We describe our approach in this
Section IV.D.5.
Additional details on our
methodology and estimates of operating
costs per mile impacts are included in
DRIA Chapter 3.4. Chapter 4 of the
DRIA contains a description of the
MOVES vehicle source types and
regulatory classes. In short, we estimate
costs in MOVES for vehicle source types
that have both regulatory class
populations and associated emission
inventories. Also, throughout this
section, LHD refers to light heavy-duty
vehicles, MHD refers to medium heavyduty vehicles, and HHD refers to heavy
heavy-duty vehicles.
i. Costs Associated With Fuel Usage
To determine the total costs
associated with fuel usage for MY 2027
vehicles, the fuel usage for each MOVES
source type and regulatory class was
multiplied by the fuel price from the
AEO 2022 reference case for diesel,
gasoline, and CNG prices over the first
28 years of the lifetime of the vehicle.642
Fuel costs per gallon and kWh are
discussed in DRIA Chapter 2. We used
retail fuel prices since we expect that
retail fuel prices are the prices paid by
owners of these ICE vehicles. For
electric vehicle costs, the electricity
price from the AEO 2022 reference case
for commercial electricity end-use
prices in cents per kWh was multiplied
by the fuel usage in kWh.643 For
hydrogen vehicle fuel costs, a value of
$6.10/kg starting in 2027 and linearly
decreasing to $4/kg in 2030 and held
constant until 2055, as discussed in
DRIA Chapter 2.5.3.1, was multiplied by
fuel usage in kg. To calculate the
average cost per mile of fuel usage for
each scenario, MOVES source type and
regulatory class, the fuel cost was
divided by the VMT for each of the MY
2027 vehicles over the 28-year period.
The estimates of fuel cost per mile for
MY 2027 vehicles under the proposal
are shown in Table IV–8 with 3 percent
discounting and Table IV–9 with 7
percent discounting. Values shown as a
dash (‘‘-’’), in Table IV–8 and Table IV–
9 represent cases where a given MOVES
source type and regulatory class did not
use a specific fuel type for MY 2027
vehicles.644
TABLE IV–8—RETAIL FUEL COST PER MILE FOR MY 2027 VEHICLES DURING THE FIRST 28 YEARS FOR EACH MOVES
SOURCE TYPE AND REGULATORY CLASS BY FUEL TYPE a
[Cents/Mile in 2021 dollars, 3% discounting]
MOVES source type
Regulatory
class
Other Buses ..............................................
LHD45 ..........
MHD67 .........
HHD8 ...........
LHD45 ..........
MHD67 .........
Urban Bus ....
LHD45 ..........
MHD67 .........
HHD8 ...........
MHD67 .........
HHD8 ...........
LHD45 ..........
MHD67 .........
HHD8 ...........
LHD45 ..........
MHD67 .........
HHD8 ...........
MHD67 .........
HHD8 ...........
MHD67 .........
HHD8 ...........
Transit Bus ................................................
School Bus ................................................
Refuse Truck .............................................
Single Unit Short-haul Truck .....................
Single Unit Long-haul Truck ......................
Combination Short-haul Truck ...................
Combination Long-haul Truck ...................
Diesel
Gasoline
31.3
32.4
31.5
32.8
24.4
25.7
33.9
35.3
16.7
25.3
30.4
15.7
23.7
28.5
34.5
36.0
33.0
33.6
Electricity
37.2
37.1
27.5
30.4
43.0
25.7
32.5
24.4
30.4
-
23.9
29.5
30.6
14.7
18.0
18.4
10.1
13.1
13.8
22.2
23.2
9.0
13.7
16.4
14.9
22.6
27.1
24.8
25.9
-
CNG
Hydrogen
40.1
40.1
32.5
44.1
38.5
36.4
42.9
39.4
23.2
35.1
42.2
47.6
48.5
lotter on DSK11XQN23PROD with PROPOSALS2
a Values rounded to the nearest tenth of a cent; dashes (‘‘-’’) represent cases where there are no vehicles powered by that specific fuel type in
our MOVES runs for each specific source type and regulatory class of MY 2027 vehicles.
642 Reference Case Projection Tables, U.S. Energy
Information Administration. Annual Energy
Outlook 2022.
VerDate Sep<11>2014
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643 U.S. Energy Information Administration.
Annual Energy Outlook 2022.
644 For example, there were no vehicles in our
MOVES runs for the transit bus source type in the
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LHD45 regulatory class that where diesel-fueled, so
the value in the table is represented as a dash
(‘‘-’’).
E:\FR\FM\27APP2.SGM
27APP2
26033
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE IV–9—RETAIL FUEL COST PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS FOR EACH
MOVES SOURCE TYPE AND REGULATORY CLASS BY FUEL TYPE a
[Cents/mile in 2021 dollars, 7% discounting]
MOVES source type
Regulatory class
Other Buses .......................................
LHD45 .................
MHD67 ................
HHD8 ...................
LHD45 .................
MHD67 ................
Urban Bus ...........
LHD45 .................
MHD67 ................
HHD8 ...................
MHD67 ................
HHD8 ...................
LHD45 .................
MHD67 ................
HHD8 ...................
LHD45 .................
MHD67 ................
HHD8 ...................
MHD67 ................
HHD8 ...................
MHD67 ................
HHD8 ...................
Transit Bus .........................................
School Bus .........................................
Refuse Truck .....................................
Single Unit Short-haul Truck .............
Single Unit Long-haul Truck ..............
Combination Short-haul Truck ...........
Combination Long-haul Truck ...........
Diesel
Gasoline
22.1
22.9
22.6
23.5
17.3
18.2
24.9
25.9
12.8
19.4
23.3
12.2
18.4
22.1
27.0
28.2
24.8
25.3
Electricity
26.3
26.5
19.4
21.4
31.4
19.6
24.8
18.9
23.6
-
16.9
20.9
21.7
10.6
12.9
13.2
7.2
9.3
9.8
16.3
17.0
6.9
10.5
12.6
11.6
17.5
21.0
19.4
20.2
-
CNG
Hydrogen
28.3
28.6
22.9
32.2
29.3
28.2
33.5
29.6
18.3
27.8
33.3
36.4
37.1
a Values rounded to the nearest tenth of a cent; dashes (‘‘-’’) represent cases where there are no vehicles powered by that specific fuel type in
our MOVES runs for each specific source type and regulatory class of MY 2027 vehicles.
ii. Costs Associated With Diesel Exhaust
Fluid
DEF consumption costs in heavy-duty
vehicles were estimated in the HD2027
final rule.645 We are applying the same
methodology in this analysis to estimate
the total costs of DEF under the
proposed HD Phase 3 CO2 standards. An
example of total cost estimates of DEF
for MY 2027 vehicles is provided in
Table IV–10 and Table IV–11 for 3
percent and 7 percent discounting,
respectively. To determine the total
costs associated with DEF usage for MY
2027 vehicles, the DEF usage for each
MOVES source type and regulatory class
was multiplied by the DEF price over
the first 28 years of the lifetime of the
vehicle.646 To calculate the average cost
of DEF per mile for each MOVES Source
Type and regulatory class, the total DEF
cost was divided by the total VMT for
each of the MY 2027 vehicles over the
28-year period. The DEF cost was
computed for the reference case and
proposed standard. The estimates on
DEF cost per mile for the reference and
proposed cases are shown in Table IV–
10 for 3 percent discounting and Table
IV–11 for 7 percent discounting. Several
source types and regulatory classes
contain no diesel-fueled ICE vehicles
and therefore no DEF consumption
costs. These cases are represented as
zeros in Table IV–10 and Table IV–11.
Table IV–10 and Table IV–11 show a
reduction or no change in DEF costs per
mile, which is to be expected due to an
increased number of BEVs and FCEVs
modeled for the proposed case
compared to the reference case.
TABLE IV–10—DEF COST PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS FOR EACH
MOVES SOURCE TYPE AND REGULATORY CLASS ACROSS ALL FUEL TYPES a
[Cents/Mile in 2021 dollars, 3% discounting]
MOVES source type
Regulatory class
Other Buses ............................................................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
LHD45 ....................................
MHD67 ...................................
Urban Bus ..............................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
Transit Bus ..............................................................................
School Bus ..............................................................................
lotter on DSK11XQN23PROD with PROPOSALS2
Refuse Truck ...........................................................................
Single Unit Short-haul Truck ...............................................
645 88
FR 4296, January 24, 2023.
analysis uses the DEF prices presented in
the NCP Technical Support Document (see
646 This
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‘‘Nonconformance Penalties for On-highway Heavyduty Diesel Engines: Technical Support
Document,’’ EPA–420–R–12–014) with growth
beyond 2042 projected at the same 1.3 percent rate
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Sfmt 4702
Cost in
reference
0.00
1.89
1.72
0.00
1.90
1.74
0.00
1.37
1.32
2.03
1.86
0.52
1.24
1.70
Cost in
proposal
0.00
1.61
1.72
0.00
1.85
1.74
0.00
0.96
1.11
2.03
1.58
0.44
1.07
1.40
Proposal
change from
reference
0.00
¥0.29
0.00
0.00
¥0.05
0.00
0.00
¥0.40
¥0.20
0.00
¥0.28
¥0.08
¥0.18
¥0.30
as noted in the NCP TSD. Note that the DEF prices
used update the NCP TSD’s 2011 prices to 2021
dollars.
E:\FR\FM\27APP2.SGM
27APP2
26034
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE IV–10—DEF COST PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS FOR EACH
MOVES SOURCE TYPE AND REGULATORY CLASS ACROSS ALL FUEL TYPES a—Continued
[Cents/Mile in 2021 dollars, 3% discounting]
MOVES source type
Regulatory class
Single Unit Long-haul Truck ...................................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
Combination Short-haul Truck ................................................
Combination Long-haul Truck .................................................
a Values
Cost in
reference
Cost in
proposal
0.48
1.16
1.59
2.08
2.17
2.00
2.04
0.41
1.05
1.43
1.92
1.98
2.00
2.04
Proposal
change from
reference
¥0.07
¥0.12
¥0.16
¥0.16
¥0.18
0.00
0.00
rounded to the nearest hundredth of a cent; Negative values denote lower costs, i.e., savings in expenditures.
TABLE IV–11—DEF COST PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS FOR EACH
MOVES SOURCE TYPE AND REGULATORY CLASS ACROSS ALL FUEL TYPES a
[Cents/mile in 2021 dollars, 7% discounting]
MOVES source type
Regulatory class
Other Buses ............................................................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
LHD45 ....................................
MHD67 ...................................
Urban Bus ..............................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
LHD45 ....................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
MHD67 ...................................
HHD8 ......................................
Transit Bus ..............................................................................
School Bus ..............................................................................
Refuse Truck ...........................................................................
Single Unit Short-haul Truck ...................................................
Single Unit Long-haul Truck ...................................................
Combination Short-haul Truck ................................................
Combination Long-haul Truck .................................................
a Values
Cost in
proposal
0.00
1.32
1.20
0.00
1.34
1.23
0.00
0.95
0.92
1.47
1.35
0.39
0.94
1.29
0.37
0.90
1.22
1.62
1.68
1.50
1.52
0.00
1.12
1.20
0.00
1.31
1.23
0.00
0.67
0.78
1.47
1.15
0.33
0.81
1.06
0.32
0.81
1.10
1.49
1.54
1.50
1.52
Proposal
change from
reference
0.00
¥0.20
0.00
0.00
¥0.04
0.00
0.00
¥0.28
¥0.14
0.00
¥0.20
¥0.06
¥0.13
¥0.23
¥0.06
¥0.09
¥0.12
¥0.12
¥0.14
0.00
0.00
rounded to the nearest hundredth of a cent; negative values denote lower costs, i.e., savings in expenditures.
iii. Costs Associated With Maintenance
and Repair
lotter on DSK11XQN23PROD with PROPOSALS2
Cost in
reference
We assessed the estimated
maintenance and repair costs of HD
BEVs and FCEVs and compared these
estimates with estimated maintenance
and repair costs for comparable HD ICE
vehicles. The results of our analysis
show that maintenance and repair costs
associated with HD BEVs and FCEVs are
estimated to be lower than maintenance
and repair costs associated with
comparable ICE vehicles. The
methodology for how we calculated
maintenance and repair costs were
estimated is discussed in Chapter 2 and
3 of the DRIA.
For the estimate of maintenance and
repair costs for diesel-fueled ICE
vehicles, we relied on the research
compiled by Burnham et al., 2021, in
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Chapter 3.5.5 of ‘‘Comprehensive Total
Cost of Ownership Quantification for
Vehicles with Different Size Classes and
Powertrains’’ and used equations found
in the BEAN model.647 648 Burnham et
al. used data from Utilimarc and ATRI
to estimate maintenance and repair
costs per mile for multiple heavy-duty
vehicle categories over time. We
selected the box truck curve to represent
647 Burnham, A., Gohlke, D., Rush, L., Stephens,
T., Zhou, Y., Delucchi, M.A., Birky, A., Hunter, C.,
Lin, Z., Ou, S., Xie, F., Proctor, C., Wiryadinata, S.,
Liu, N., Boloor, M. ‘‘Comprehensive Total Cost of
Ownership Quantification for Vehicles with
Different Size Classes and Powertrains’’. Argonne
National Laboratory. Chapter 3.5.5. April 1, 2021.
Available at https://publications.anl.gov/anlpubs/
2021/05/167399.pdf.
648 Argonne National Lab, Vehicle & Mobility
Systems Group, BEAN, found at: https://
vms.taps.anl.gov/tools/bean/ (accessed August
2022).
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vocational vehicles and short-haul
tractors, and the semi-tractor curve to
represent long-haul tractors. We
assumed that gasoline and CNG vehicles
had the same maintenance and repair
costs curves as diesel vehicles.
For BEVs and FCEVs, as discussed in
Chapter 2 of the DRIA, the per-mile rate
of brake wear is expected to be lower
when compared to comparable ICE
vehicles. Several literature sources
propose multiplying diesel vehicle
maintenance costs by a factor to
estimate BEV and FCEV maintenance
costs. We followed this approach and
used a factor of 0.71 for BEVs and 0.75
for FCEV, based on the research in
Wang et al., 2022.649 Details of the
649 Wang, G., Miller, M., and Fulton, L.’’
Estimating Maintenance and Repair Costs for
Battery Electric and Fuel Cell Heavy Duty Trucks,
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maintenance and repair on a cost per
mile basis are discussed in Chapter 3 of
the DRIA.
The impacts of maintenance and
repairs for MY 2027 vehicles in each
MOVES source type associated with the
reference and proposed cases are shown
in Table IV–12 and Table IV–13 for 3and 7-percent discount rates,
respectively. The proposed case shows
either no change 650 or reductions in
maintenance and repair costs when
compared to the reference case.
TABLE IV–12—MAINTENANCE AND REPAIR PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS
FOR EACH MOVES SOURCE TYPE, FOR ALL VEHICLE TYPES a
[Cents/mile in 2021 dollars, 3% discounting]
Cost in
reference
MOVES source type
Other Buses .................................................................................................................................
Transit Bus ...................................................................................................................................
School Bus ...................................................................................................................................
Refuse Truck ...............................................................................................................................
Single Unit Short-haul Truck .......................................................................................................
Single Unit Long-haul Truck ........................................................................................................
Combination Short-haul Truck .....................................................................................................
Combination Long-haul Truck .....................................................................................................
a Values
80.0
78.4
80.1
75.4
69.2
67.0
66.1
25.9
Cost in
proposal
74.8
75.6
73.9
72.8
66.2
64.4
64.6
25.9
Proposal
change from
reference
¥5.2
¥2.8
¥6.2
¥2.6
¥3.1
¥2.5
¥1.6
0.0
rounded to the nearest tenth of a cent; negative values denote lower costs, i.e., savings in expenditures.
TABLE IV–13—MAINTENANCE AND REPAIR PER MILE FOR MODEL YEAR 2027 VEHICLES DURING THE FIRST 28 YEARS
FOR EACH MOVES SOURCE TYPE, FOR ALL VEHICLE TYPES a
[Cents/mile in 2021 dollars, 7% discounting]
Cost in
reference
MOVES source type
Other Buses .................................................................................................................................
Transit Bus ...................................................................................................................................
School Bus ...................................................................................................................................
Refuse Truck ...............................................................................................................................
Single Unit Short-haul Truck .......................................................................................................
Single Unit Long-haul Truck ........................................................................................................
Combination Short-haul Truck .....................................................................................................
Combination Long-haul Truck .....................................................................................................
a Values
45.6
46.8
45.0
47.1
45.4
45.1
46.0
17.5
Proposal
change from
reference
¥3.2
¥1.7
¥3.8
¥1.7
¥2.1
¥1.8
¥1.1
0.0
rounded to the nearest tenth of a cent; negative values denote lower costs, i.e., savings in expenditures.
6. Payback
lotter on DSK11XQN23PROD with PROPOSALS2
48.8
48.5
48.8
48.8
47.5
46.8
47.1
17.5
Cost in
proposal
A payback period is the point in time
at which savings from reduced
operating expenses surpass increased
upfront costs, typically estimated in
years. The payback period for a new
vehicle purchase is an important metric
for many HD vehicle purchasers. In
general, there is greater willingness to
pay for new technology if that new
technology ‘‘pays back’’ within an
acceptable period of time. A payback
period is calculated in DRIA Chapter
2.8.2 using HD TRUCS for specific use
cases. Briefly, the incremental upfront
costs for ZEV vehicles are estimated in
contrast to comparable ICE vehicles. In
these incremental upfront purchaser
costs for ZEVs, IRA battery and vehicle
tax credits were taken into
consideration. Then the expected
operating costs differences between ZEV
and ICE vehicles are computed over
2022. Available online: https://escholarship.org/
content/qt36c08395/qt36c08395_noSplash_
589098e470b036b3010eae00f3b7b618.pdf?t=r6zwjb.
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time on an annual basis. When the
operating costs savings offset the
incremental upfront differences between
ZEV and ICE vehicles, a breakeven point
is met. The amount of time from
purchase to the breakeven point is
defined as the payback period. Payback
periods are computed for specific
vehicle types in DRIA Chapter 2.8.2. See
preamble Section II.E.6 for further
discussion on payback for the
technology packages for the proposed
standards. The calculations do not
represent specific vehicle classes or
specific use cases. However, the
payback periods do provide a general
sense, on average, of payback periods at
a national level.
Section IV.B.3, total operating costs
from Section IV.D.5, and total EVSE RPE
from Section IV.D.3. We note that the
fuel costs in this subsection’s social cost
analysis are estimated pre-tax rather
than what the purchaser would pay (i.e.,
the retail fuel price). All of the costs are
computed for the MOVES reference and
proposed cases and cost impacts are
presented as the difference between the
proposed and reference case.
Additionally, neither the battery tax
credit nor the vehicle tax credit is
included in the social costs analysis
discussed in this subsection.
E. Social Costs
To compute the social costs of the
proposal, we added the estimated total
vehicle technology package RPE from
Table IV–14 reflects learning effects
on DMC and indirect costs from 2027
through 2055. The sum of the DMC and
indirect manufacturing cost for each
year is shown in the ‘‘Total Technology
650 There are no changes to vehicle populations
for MY 2027 between the proposal and reference
cases for the MOVES source type Combination
Long-haul Truck, which is why the maintenance
and repair cost per mile shows no change between
the proposal and reference case.
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1. Total Vehicle Technology Package
RPE
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Package Costs’’ column and reflects the
difference in total cost between the
proposed and reference case in the
specific calendar year.
TABLE IV–14—TOTAL TECHNOLOGY COST IMPACTS OF THE PROPOSED OPTION RELATIVE TO THE REFERENCE CASE, ALL
REGULATORY CLASSES AND ALL FUELS, MILLIONS OF 2021 DOLLARS a
Direct
manufacturing
costs
Calendar year
2027 ...........................................................................................................................................
2028 ...........................................................................................................................................
2029 ...........................................................................................................................................
2030 ...........................................................................................................................................
2031 ...........................................................................................................................................
2032 ...........................................................................................................................................
2033 ...........................................................................................................................................
2034 ...........................................................................................................................................
2035 ...........................................................................................................................................
2036 ...........................................................................................................................................
2037 ...........................................................................................................................................
2038 ...........................................................................................................................................
2039 ...........................................................................................................................................
2040 ...........................................................................................................................................
2041 ...........................................................................................................................................
2042 ...........................................................................................................................................
2043 ...........................................................................................................................................
2044 ...........................................................................................................................................
2045 ...........................................................................................................................................
2046 ...........................................................................................................................................
2047 ...........................................................................................................................................
2048 ...........................................................................................................................................
2049 ...........................................................................................................................................
2050 ...........................................................................................................................................
2051 ...........................................................................................................................................
2052 ...........................................................................................................................................
2053 ...........................................................................................................................................
2054 ...........................................................................................................................................
2055 ...........................................................................................................................................
PV, 3% .......................................................................................................................................
PV, 7% .......................................................................................................................................
a Values
$1,400
1,200
1,200
1,400
1,600
1,400
1,100
900
710
530
440
290
160
95
¥29
¥140
¥250
¥290
¥390
¥490
¥580
¥600
¥680
¥760
¥770
¥850
¥930
¥1,000
¥1,100
6,300
7,100
$590
520
500
590
680
600
440
380
300
220
180
120
66
40
¥12
¥60
¥110
¥120
¥160
¥200
¥240
¥250
¥290
¥320
¥320
¥360
¥390
¥420
¥450
2,700
3,000
Total
technology
package costs
$2,000
1,800
1,700
2,000
2,300
2,000
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
9,000
10,000
show 2 significant digits; negative values denote lower costs, i.e., savings in expenditures.
2. Total EVSE RPE
Building on the analysis presented in
Section IV.D.3 that discusses EVSE RPE
cost per vehicle, the annual EVSE RPE
was estimated by multiplying EVSE RPE
on a per vehicle basis by the modeled
number of BEV sales in MOVES. Table
IV–15 shows the undiscounted annual
EVSE RPE cost for the proposal relative
to the reference case. The number of
EVSE are expected to increase over time
for the proposal relative to the reference
case. This is due to the expected
increase in BEVs requiring EVSE. Thus,
the proposal shows increased EVSE cost
over time.
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Indirect
costs
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TABLE IV–15—TOTAL EVSE RPE
COST IMPACTS OF THE PROPOSED
OPTION RELATIVE TO THE REFERENCE CASE, ALL REGULATORY
CLASSES AND ALL FUELS, MILLIONS
OF 2021 DOLLARS a
Total
EVSE RPE
cost impacts
Calendar year
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
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......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
......................................
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TABLE IV–15—TOTAL EVSE RPE
COST IMPACTS OF THE PROPOSED
OPTION RELATIVE TO THE REFERENCE CASE, ALL REGULATORY
CLASSES AND ALL FUELS, MILLIONS
OF 2021 DOLLARS a—Continued
Sfmt 4702
$1,300
1,600
1,900
2,000
2,200
2,600
2,600
2,600
2,500
2,500
2,500
2,500
2,600
2,600
2,600
2,600
2,700
2,700
2,700
Calendar year
2046 ......................................
2047 ......................................
2048 ......................................
2049 ......................................
2050 ......................................
2051 ......................................
2052 ......................................
2053 ......................................
2054 ......................................
2055 ......................................
PV, 3% ..................................
PV, 7% ..................................
Total
EVSE RPE
cost impacts
2,700
2,700
2,700
2,800
2,800
2,800
2,900
2,900
2,900
2,900
47,000
29,000
3. Total Operating Costs
Annual fuel costs across the national
fleet for each fuel type were computed
for the proposal and reference cases by
multiplying the amount of fuel
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consumed for each vehicle modeled in
MOVES by the cost of each fuel type.
Table IV–16 shows the undiscounted
annual fuel savings for the proposal
relative to the reference case for each
fuel type. Using projected fuel prices
from AEO and the estimated hydrogen
prices as discussed in Section IV.D.5.i,
the total, national fleet-wide cost of
electricity and hydrogen consumption
increase over time while the costs for
diesel, gasoline, and CNG consumption
decrease over time, as shown on an
annual basis in Table IV–17. This is due
to the expected increase in BEVs and
FCEVs resulting in fewer diesel,
gasoline, and CNG vehicles in the
proposed case compared to the
reference case. The net effect of the
proposal shows increased operating cost
savings over time.
TABLE IV–16—ANNUAL UNDISCOUNTED PRE-TAX FUEL COSTS FOR THE PROPOSAL RELATIVE TO THE REFERENCE CASE,
MILLIONS OF 2021 DOLLARS a
Calendar year
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
Diesel
¥$370
¥810
¥1,300
¥2,300
¥3,800
¥5,600
¥7,400
¥9,100
¥11,000
¥12,000
¥14,000
¥15,000
¥17,000
¥18,000
¥19,000
¥20,000
¥21,000
¥22,000
¥23,000
¥24,000
¥24,000
¥25,000
¥25,000
¥25,000
¥26,000
¥26,000
¥26,000
¥26,000
¥26,000
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
a Values
Gasoline
CNG
¥$160
¥360
¥590
¥870
¥1,200
¥1,600
¥2,100
¥2,500
¥2,900
¥3,300
¥3,800
¥4,200
¥4,600
¥5,000
¥5,400
¥5,800
¥6,200
¥6,600
¥7,000
¥7,400
¥7,800
¥8,000
¥8,400
¥8,700
¥9,100
¥9,400
¥9,700
¥10,000
¥10,000
Electricity
¥$4
¥8
¥12
¥24
¥39
¥59
¥78
¥97
¥120
¥130
¥150
¥170
¥190
¥220
¥240
¥260
¥290
¥320
¥350
¥380
¥410
¥440
¥480
¥520
¥570
¥610
¥670
¥720
¥780
$390
840
1,400
1,900
2,500
3,200
3,900
4,600
5,200
5,700
6,200
6,600
7,100
7,500
7,800
8,200
8,500
8,700
8,900
9,200
9,300
9,500
9,700
9,800
10,000
10,000
10,000
10,000
10,000
Hydrogen
Sum
$0
0
0
520
1,700
3,300
4,900
6,500
8,100
9,600
11,000
12,000
14,000
15,000
16,000
17,000
18,000
19,000
19,000
20,000
20,000
21,000
21,000
21,000
22,000
22,000
22,000
23,000
23,000
¥$150
¥340
¥580
¥710
¥710
¥710
¥680
¥630
¥610
¥640
¥710
¥810
¥780
¥940
¥1,100
¥1,100
¥1,400
¥1,900
¥2,200
¥2,600
¥2,800
¥2,900
¥3,000
¥3,200
¥3,400
¥3,600
¥3,800
¥4,000
¥4,300
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
Annual DEF costs for diesel vehicles
were computed for the proposal and
reference cases by multiplying the
modeled amount of DEF consumed by
the cost DEF. Table IV–17 shows the
annual savings associated with less DEF
consumption in the proposal relative to
the reference case; note that non-diesel
vehicles are shown for completeness
with no savings since those vehicles do
not consume DEF.
TABLE IV–17—ANNUAL UNDISCOUNTED DEF COSTS FOR THE PROPOSAL RELATIVE TO THE REFERENCE CASE, MILLIONS
OF 2021 DOLLARS a
lotter on DSK11XQN23PROD with PROPOSALS2
Calendar year
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
Diesel
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
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¥$27
¥58
¥97
¥160
¥270
¥410
¥540
¥680
¥810
¥930
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
E:\FR\FM\27APP2.SGM
27APP2
Gasoline,
CNG,
electric,
hydrogen
vehicles
Sum
$0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
¥$27
¥58
¥97
¥160
¥270
¥410
¥540
¥680
¥810
¥930
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
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TABLE IV–17—ANNUAL UNDISCOUNTED DEF COSTS FOR THE PROPOSAL RELATIVE TO THE REFERENCE CASE, MILLIONS
OF 2021 DOLLARS a—Continued
Calendar year
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
Diesel
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
.............................................................................................................................................
a Values
Gasoline,
CNG,
electric,
hydrogen
vehicles
¥1,600
¥1,700
¥1,700
¥1,800
¥1,900
¥1,900
¥2,000
¥2,000
¥2,100
¥2,100
¥2,200
¥2,200
¥2,300
¥2,300
Sum
0
0
0
0
0
0
0
0
0
0
0
0
0
0
¥1,600
¥1,700
¥1,700
¥1,800
¥1,900
¥1,900
¥2,000
¥2,000
¥2,100
¥2,100
¥2,200
¥2,200
¥2,300
¥2,300
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
Annual maintenance and repair costs
were computed on an annual basis for
all vehicles modeled in MOVES based
on the total annual VMT, vehicle type
and vehicle age as discussed in Section
5 and DRIA Chapter 2 and 3. Table IV–
18 presents the maintenance and repair
costs associated with the proposal. The
maintenance and repair costs are
attributable to changes in new BEV,
FCEV, and ICE vehicle sales and
populations. EPA has not projected any
changes to the maintenance and repair
costs on a per mile basis for each
vehicle powertrain type between the
proposal and reference case, but as more
HD ZEVs enter the HD fleet, the total
maintenance and repair costs for the
fleet of those vehicles correspondingly
increases. The opposite is true for
diesel, gasoline, and CNG vehicles as
there become fewer of these vehicles in
the fleet such that the total maintenance
and repair costs for the fleet of those
vehicles decreases as more HD ZEVs
enter the HD fleet.
TABLE IV–18—ANNUAL UNDISCOUNTED MAINTENANCE & REPAIR COSTS FOR THE PROPOSAL RELATIVE TO THE
REFERENCE CASE, MILLIONS OF 2021 DOLLARS a
lotter on DSK11XQN23PROD with PROPOSALS2
Calendar year
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
Diesel
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
.........................................................
a Values
¥$370
¥940
¥1,700
¥2,900
¥4,700
¥7,000
¥9,600
¥12,000
¥15,000
¥19,000
¥22,000
¥25,000
¥28,000
¥31,000
¥34,000
¥37,000
¥39,000
¥41,000
¥43,000
¥45,000
¥47,000
¥48,000
¥49,000
¥51,000
¥52,000
¥53,000
¥54,000
¥55,000
¥56,000
Gasoline
CNG
¥$150
¥400
¥740
¥1,200
¥1,800
¥2,600
¥3,400
¥4,400
¥5,500
¥6,700
¥7,900
¥9,100
¥10,000
¥12,000
¥13,000
¥14,000
¥15,000
¥17,000
¥18,000
¥19,000
¥20,000
¥21,000
¥22,000
¥24,000
¥25,000
¥26,000
¥27,000
¥28,000
¥30,000
Electricity
¥$3
¥7
¥12
¥22
¥36
¥56
¥78
¥100
¥130
¥160
¥190
¥220
¥260
¥300
¥330
¥380
¥420
¥460
¥510
¥560
¥620
¥670
¥740
¥800
¥880
¥960
¥1,000
¥1,100
¥1,200
$380
950
1,800
2,800
4,100
5,700
7,500
9,500
11,000
14,000
16,000
18,000
20,000
22,000
24,000
26,000
27,000
29,000
31,000
32,000
34,000
35,000
36,000
38,000
39,000
40,000
42,000
43,000
44,000
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
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27APP2
Hydrogen
$0
0
0
140
530
1,100
1,900
2,700
3,700
4,800
5,800
6,900
8,100
9,200
10,000
11,000
12,000
13,000
14,000
15,000
15,000
16,000
16,000
17,000
17,000
17,000
18,000
18,000
19,000
Sum
¥$150
¥390
¥720
¥1,200
¥1,900
¥2,700
¥3,700
¥4,800
¥5,900
¥7,100
¥8,400
¥9,600
¥11,000
¥12,000
¥13,000
¥14,000
¥15,000
¥16,000
¥17,000
¥18,000
¥19,000
¥19,000
¥20,000
¥21,000
¥22,000
¥22,000
¥23,000
¥24,000
¥24,000
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
4. Total Social Costs
Adding together the cost elements
outlined in Sections IV.E.1, IV.E.2, and
IV.E.30, we estimated the total social
costs associated with the proposed CO2
standards; these total social costs
associated with the proposal relative to
the reference case are shown in Table
IV–19. Table IV–19 presents costs in
2021 dollars in undiscounted annual
values along with net present values at
both 3- and 7-percent discount rates
with values discounted to the 2027
calendar year. Additionally, neither the
battery tax credit nor the vehicle tax
26039
credit is included in the social costs
analysis discussed in this subsection.
As shown in Table IV–19, starting in
2033, our analysis demonstrates that
total program costs under the proposal
scenario are lower than the total
program costs under the reference case
without the standard.
TABLE IV–19—TOTAL TECHNOLOGY PACKAGE, OPERATING COST, AND EVSE COST IMPACTS OF THE PROPOSED OPTION
RELATIVE TO THE REFERENCE CASE, ALL REGULATORY CLASSES AND ALL FUELS, MILLIONS OF 2021 DOLLARS a
Total
technology
package costs
Calendar year
2027 .................................................................................................................
2028 .................................................................................................................
2029 .................................................................................................................
2030 .................................................................................................................
2031 .................................................................................................................
2032 .................................................................................................................
2033 .................................................................................................................
2034 .................................................................................................................
2035 .................................................................................................................
2036 .................................................................................................................
2037 .................................................................................................................
2038 .................................................................................................................
2039 .................................................................................................................
2040 .................................................................................................................
2041 .................................................................................................................
2042 .................................................................................................................
2043 .................................................................................................................
2044 .................................................................................................................
2045 .................................................................................................................
2046 .................................................................................................................
2047 .................................................................................................................
2048 .................................................................................................................
2049 .................................................................................................................
2050 .................................................................................................................
2051 .................................................................................................................
2052 .................................................................................................................
2053 .................................................................................................................
2054 .................................................................................................................
2055 .................................................................................................................
PV, 3% .............................................................................................................
PV, 7% .............................................................................................................
Annualized, 3% ................................................................................................
Annualized, 7% ................................................................................................
a Values
¥$330
¥790
¥1,400
¥2,100
¥2,800
¥3,800
¥4,900
¥6,100
¥7,400
¥8,700
¥10,000
¥12,000
¥13,000
¥14,000
¥16,000
¥17,000
¥18,000
¥20,000
¥21,000
¥22,000
¥23,000
¥24,000
¥25,000
¥26,000
¥27,000
¥28,000
¥29,000
¥30,000
¥31,000
¥250,000
¥120,000
¥13,000
¥10,000
Total EVSE
costs
$1,300
1,600
1,900
2,000
2,200
2,600
2,600
2,600
2,500
2,500
2,500
2,500
2,600
2,600
2,600
2,600
2,700
2,700
2,700
2,700
2,700
2,700
2,800
2,800
2,800
2,900
2,900
2,900
2,900
47,000
29,000
2,500
2,300
Sum
$3,000
2,500
2,200
1,900
1,700
860
¥820
¥2,200
¥3,800
¥5,500
¥7,000
¥8,700
¥10,000
¥12,000
¥13,000
¥15,000
¥16,000
¥18,000
¥19,000
¥20,000
¥22,000
¥22,000
¥23,000
¥24,000
¥25,000
¥26,000
¥27,000
¥28,000
¥29,000
¥190,000
¥85,000
¥10,000
¥6,900
rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
V. Estimated Emission Impacts From
the Proposed Program
lotter on DSK11XQN23PROD with PROPOSALS2
$2,000
1,800
1,700
2,000
2,300
2,000
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
9,000
10,000
470
820
Total
operating
costs
We expect the proposed CO2
standards would result in downstream
emission reductions of GHGs from
heavy-duty vehicles. Downstream
emissions processes are those that come
directly from a vehicle, such as tailpipe
exhaust, crankcase exhaust, evaporative
emissions, and refueling emissions.
While we are not proposing standards to
address criteria pollutants or air toxics,
we expect the proposed standards
would also result in reductions of
downstream emissions of both criteria
pollutants and air toxics. We expect
these anticipated emission reductions
would be achieved through increased
adoption of heavy-duty battery electric
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vehicles (BEVs) and fuel cell electric
vehicles (FCEVs) and by additional
improvements to ICE vehicles. The
emissions modeling that we present in
this section characterizes the emissions
impacts of the technology package
described in Section II of the preamble.
As we note there, manufacturers may
elect to comply using a different
combination of HD vehicle and engine
technologies than we modeled.
To estimate the downstream emission
reductions from the proposed standards,
we used an updated version of EPA’s
Motor Vehicle Emission Simulator
(MOVES) model, MOVES3.R3. This
version already included the impacts of
the HD GHG Phase 2 program, and also
includes several changes related
specifically to heavy-duty vehicle
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emissions (e.g., updates to incorporate
the HD2027 final rule) and activity (e.g.,
updates to vehicle population and miles
traveled) as well as new capabilities to
model heavy-duty vehicles with electric
powertrains.651 These model updates
are summarized in Chapter 4.2 of the
DRIA and described in detail in the
technical reports that are available in
the docket for this proposed rulemaking.
With the increased adoption of heavyduty BEVs and FCEVs (together referred
to as ZEVs), we expect the proposed
standards to impact upstream emissions
of GHGs and other pollutants. Upstream
emissions sources are those that occur
651 Memo to Docket. ‘‘EPA’s Motor Vehicle
Emission Simulator (MOVES) model, MOVES3.R3.’’
Docket EPA–HQ–OAR–2022–0985.
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
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before tailpipe emissions from vehicles,
such as from electricity generation for
charging BEVs, the production of
hydrogen used to fuel FCEVs, and
emissions generated during petroleumbased fuel production and distribution.
We estimated the impacts of the
proposed standards on emissions from
electricity generation units (EGUs). We
also estimated the impacts on refinery
emissions of non-GHGs for calendar
year 2055.652 We did not estimate the
impacts on emissions related to crude
production or extraction or the
transportation of crude or refined fuels.
To estimate upstream EGU emission
impacts from the proposed standards,
we used the Integrated Planning Model
(IPM). IPM is a linear programming
model that accounts for variables and
information such as energy demand,
planned EGU retirements, and planned
rules to forecast EGU-level energy
production and configurations. The IPM
runs we performed to estimate EGU
emissions were based on preliminary
reference and control scenarios, and the
IPM run for the control scenario did not
account for the IRA. Therefore, we
developed a methodology, using output
of three IPM runs, to estimate the
increase in EGU emissions from the
proposal and alternative, adjusted for
the IRA. The first represents the EGU
inventory absent both the proposal and
the Inflation Reduction Act (IRA),653 the
second represents the inventory absent
the proposal but includes the IRA,654
and the third includes impacts from a
preliminary version of the proposal we
developed earlier in the regulatory
development process but not the IRA.
Together, they help us estimate the
impact of the proposed standards on
EGU emissions, accounting for the IRA.
More details on IPM and the specific
version used in this proposal can be
found in the Chapter 4.3.3 of the DRIA.
To estimate upstream refinery impacts
from the proposed standards, we
adjusted an existing refinery inventory
that included PM2.5, NOX, SO2 and VOC
652 As discussed in Chapter 4.3.3.3 of the DRIA,
our methodology for estimating refinery emissions
is limited to one analysis year (2055) and only
certain non-GHG pollutants (NOX, PM2.5, VOC, and
SO2).
653 All inputs, outputs, and full documentation of
EPA’s IPM v6 Summer 2022 Reference Case and the
associated NEEDS version is available on the power
sector modeling website (https://www.epa.gov/
power-sector-modeling/documentation-pre-ira2022-reference-case).
654 We expect IRA incentives, particularly
sections 45X, 45Y, and 48E of the Internal Revenue
Code (i.e., Title 26) added by sections 13502
(Advanced Manufacturing Production Credit),
13701 (Clean Electricity Production Credit), and
13702 (Clean Electricity Investment Credit),
respectively, to contribute significantly to increases
in renewables in the future power generation mix.
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emissions for the year 2055. The
adjustment factors are based on liquid
fuel demand projections for the
reference, proposal, and alternative
cases. In this analysis, we assumed
refinery activity decreases with
decreased demand for liquid fuel from
heavy-duty vehicles. More details on the
refinery impacts estimated for this
proposal can be found in Chapters 4.3.3
and 4.6 of the DRIA.
A. Model Inputs
1. MOVES Inputs
In the analysis to support this
proposal, we evaluated the proposed
standards relative to a reference case
using MOVES. MOVES defines vehicles
using a combination of source type and
regulatory class, where source type
roughly defines a vehicle’s vocation or
usage pattern, and regulatory class
defines a vehicle’s weight class. Table
V–1 defines MOVES medium- and
heavy-duty source types.
TABLE V–1—MOVES SOURCE TYPE
DEFINITIONS
sourceTypeID
31
32
41
42
43
51
52
..........................
..........................
..........................
..........................
..........................
..........................
..........................
53 ..........................
54 ..........................
61 ..........................
62 ..........................
Source type description
Passenger Truck.
Light Commercial Truck.
Other Bus.
Transit Bus.
School Bus.
Refuse Truck.
Single Unit Short-haul
Truck.
Single Unit Long-haul
Truck.
Motor Home.
Combination Short-haul
Truck.
Combination Long-haul
Truck.
In modeling the heavy-duty ZEV
populations in the reference case, a
scenario that represents the United
States without the proposed rulemaking,
we considered several different factors
related to purchaser acceptance of new
technologies as discussed in DRIA
Chapter 2, along with three factors
described in Section I.C. First, the
market has evolved such that early HD
ZEV models are in use today for some
applications and HD ZEVs are expected
to expand to many more applications, as
discussed in Section II.D and DRIA
Chapters 1.5 and 2. Additionally,
manufacturers have announced plans to
rapidly increase their investments in
ZEV technologies over the next decade.
Second, the IRA and the BIL provide
many monetary incentives for the
production and purchase of ZEVs in the
heavy-duty market, as well as incentives
for electric vehicle charging
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infrastructure. Third, there have been
multiple actions by states to accelerate
the adoption of heavy-duty ZEVs, such
as (1) a multi-state Memorandum of
Understanding for the support of heavyduty ZEV adoption; 655 and (2) the State
of California’s ACT program, which has
also been adopted by other states and
includes a manufacturer requirement for
zero-emission truck sales.656 657
We also reviewed the literature to
evaluate future HD ZEV projections
from others. We found that the literature
had varied projections for HD ZEV
adoption absent this proposed
rulemaking. For instance, the
International Council for Clean
Transportation (ICCT) conducted an
analysis in early 2022, before IRA, and
projected a variety of scenarios. They
specifically projected eight percent HD
ZEV sales in 2030 when only
considering current policies and 11
percent in 2030 when considering the
multi-state MOUs.658 The National
Renewable Energy Laboratory (NREL)
conducted an analysis in early 2022,
also prior to the IRA, that projected 42
percent HD ZEV sales by 2030 and 98
percent sales by 2040, along with 100
percent of bus sales being ZEVs by
2030.659 The NREL analysis assumed
economics alone drive adoption (i.e.,
total cost of ownership), and therefore
they did not consider non-financial
factors such ZEV product research and
development timelines, ZEV
manufacturing time lines, the
availability of ZEV models,
manufacturing or infrastructure
constraints, driver preferences, and
655 NESCAUM MOU, available at https://
www.nescaum.org/documents/mhdv-zev-mou20220329.pdf.
656 EPA granted the ACT rule waiver requested by
California under CAA section 209(b) on March 30,
2023. When we developed the reference case, the
ACT had been adopted by five states under CAA
section 177: Oregon, Washington, New York, New
Jersey, and Massachusetts. Oregon and Washington
adopted ACT as-is, whereas New York, New Jersey,
and Massachusetts adopted ACT on a one-year
delay.
657 In December 2022, Vermont also adopted ACT
under CAA section 177 effective beginning with
MY 2026. Due to the timing of Vermont’s adoption
of ACT relative to the timing of the analysis
conducted for this proposal, Vermont’s adoption of
ACT is not included in the analysis for our
proposal; however, Vermont’s adoption of ACT
provides additional support for the ZEV levels in
our reference case. See https://dec.vermont.gov/
sites/dec/files/aqc/laws-regs/documents/Chapter_
40_LEV_ZEV_rule_adoped.pdf.
658 Buysee, Claire, et al. ‘‘Racing to Zero: The
Ambition We Need for Zero-Emission Heavy-Duty
Vehicles in the United States.’’ April 2022.
Available online: https://theicct.org/racing-to-zerohdv-us-apr22/ ICCT.
659 Ledna, Catherine, et al. ‘‘Decarbonizing
Medium- & Heavy-Duty On-Road Vehicles: ZeroEmission Vehicles Cost Analysis.’’ March 2022.
Slide 25. Available online: https://www.nrel.gov/
docs/fy22osti/82081.pdf.
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lotter on DSK11XQN23PROD with PROPOSALS2
other factors. ACT Research also
conducted an analysis prior to IRA and
projected HD ZEV sales of 24 pecent in
2024, 26 percent in 2030, and 34
percent in 2031.660 EDF and ERM
conducted a follow-up analysis of their
HD ZEV sales projections after the IRA
passed in 2022.661 They project several
scenarios which range between 11 and
42 percent HD ZEV sales in 2029 when
including long-haul tractors. The EDF/
ERM analysis found that IRA will help
accelerate ZEV adoption due to the
purchasing incentives, which drives HD
ZEVs to reach cost parity at least five
years sooner than without the IRA
incentives. The ACT Research, ICCT,
and EDF/ERM projections, similar to the
2022 NREL study, also did not consider
several important real-world factors
which would in general be expected to
slow down or reduce ZEV sales.
To estimate the adoption of HD ZEVs
in the reference case for this proposal,
we analyzed a national level of ZEV
sales based on volumes expected from
the ACT rule in California and other
states that have adopted ACT.662 663 We
660 Lockridge, Deborah. ‘‘ACT: Third of Class 4–
8 Vehicles to be Battery-Electric in 10 Years.’’ June
2021. Available online: https://
www.truckinginfo.com/10144947/act-third-of-class4-8-vehicles-to-be-battery-electric-in-10-years.
661 Robo, Ellen and Dave Seamonds. Technical
Memo to Environmental Defense Fund: Investment
Reduction Act Supplemental Assessment: Analysis
of Alternative Medium- and Heavy-Duty ZeroEmission Vehicle Business-As-Usual Scenarios.
ERM. August 19, 2022. Page 9. Available online:
https://www.erm.com/contentassets/154d08e0d067
4752925cd82c66b3e2b1/edf-zev-baseline-technicalmemo-addendum.pdf.
662 California Air Resources Board, Final
Regulation Order—Advanced Clean Trucks
Regulation. Filed March 15, 2021. Available at:
https://ww2.arb.ca.gov/sites/default/files/barcu/
regact/2019/act2019/fro2.pdf. Final Advanced
Clean Truck Amendments, Oregon adopted ACT on
11/17/2021: https://www.oregon.gov/deq/
rulemaking/Pages/ctr2021.aspx. Washington
adopted ACT on 11/29/2021: https://
ecology.wa.gov/Regulations-Permits/Laws-rulesrulemaking/Rulemaking/WAC-173-423-400. New
York adopted ACT on 12/29/2021: https://
www.dec.ny.gov/regulations/26402.html. New
Jersey adopted ACT on 12/20/2021: https://
www.nj.gov/dep/rules/adoptions.html.
Massachusetts adopted ACT on 12/30/2021: https://
www.mass.gov/regulations/310-CMR-700-airpollution-control#proposed-amendments-publiccomment.
663 In December 2022, Vermont also adopted ACT
under CAA section 177 effective beginning with
MY 2026. Due to the timing of Vermont’s adoption
of ACT relative to the timing of the analysis
conducted for this proposal, Vermont’s adoption of
ACT is not included in the analysis for our
proposal; however, Vermont’s adoption of ACT
provides additional support for the ZEV levels in
our reference case. See https://dec.vermont.gov/
sites/dec/files/aqc/laws-regs/documents/Chapter_
40_LEV_ZEV_rule_adopted.pdf.
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used those volumes as the numeric basis
for the number of ZEVs in the MY 2024
and later timeframe. EPA granted the
ACT rule waiver requested by California
under CAA section 209(b) on March 30,
2023, and we expect the market, at a
national level, had already been
responding to the ACT requirements, in
addition to the market forces discussed
earlier. It is, therefore, reasonable to use
the ZEV sales volume that could be
expected from ACT in the reference case
as an overall projection for where the
national ZEV sales volumes may be in
the absence of this EPA action. Table V–
2 shows the national adoption of heavyduty ZEVs we modeled in the reference
case. Additional details regarding the
modeling of the reference case can be
found in Chapter 4.3 of the DRIA.
TABLE V–2—NATIONAL HEAVY-DUTY
ZEV ADOPTION IN THE REFERENCE
CASE
Model year
Class 4–8 vocational vehicle group a
source types
41–54
(percent)
Class 7–8
tractors group
source types
61, 62
(percent)
1.1
2.0
2.4
3.4
5.1
7.1
9.1
10.5
11.4
12.4
13.4
14.4
0.3
0.7
1.0
1.4
1.9
2.5
3.0
3.5
4.1
4.3
4.3
4.3
2024 ..........
2025 ..........
2026 ..........
2027 ..........
2028 ..........
2029 ..........
2030 ..........
2031 ..........
2032 ..........
2033 ..........
2034 ..........
2035 ..........
2036 and
beyond ..
26041
conservative in terms of costs of
compliance, which would be
overestimated if the market would
acheive higher levels of ZEV adoption
in the absence of our proposed
standards. We may revisit our reference
case in the final rule analysis. For
example, given that EPA granted the
California Air Resources Board’s request
for a waiver for the ACT Regulation on
March 30, 2023, which was not in a
time frame for EPA to consider for this
proposal an alternative approach for the
reference case, we may make revisions
for the final rule to explicitly reflect the
waiver decision. In addition, while the
approach we have used to quantify the
national ZEV volumes in the reference
case considers the impacts of the IRA
and the BIL, it does not explicitly model
them. Therefore, we invite stakeholders
to comment and provide additional
information on our approach to
modeling the reference case.
Commenters may also provide input on
other data or modeling approaches that
EPA should consider when estimating
the reference case in the final
rulemaking, including but not limited to
the reports summarized in this section.
We invite stakeholders to comment and
provide additional information on our
approach to modeling the reference
case. Commenters may also provide
input on other data or modeling
approaches that EPA should consider
when estimating the reference case in
the final rulemaking, including but not
limited to the reports summarized in
this section.
For the purposes of the modeling
analysis, we assume the proposed CO2
a The ACT program includes ZEV adoption
emission standards would be met by
rates for a Class 2b–3 Vocational Vehicle technology packages that reflect both
Group, which we also included in our reference case modeling. However, we did not ICE vehicles and an increased level of
model the proposal as increasing ZEV adop- ZEV adoption. The technology packages
tion in this vehicle category so they are not we are using for the ICE vehicles are
presented here. Class 2b–3 Vocational Vehicle Group ZEV adoption rates can be found in built into the MOVES versions we are
Appendix 4A of the DRIA.
using for the analysis. Future HD ZEV
populations in MOVES for the proposal
We note that our reference case
and alternative scenarios were estimated
projection of ZEV adoption in this
using HD TRUCS based on the
proposal is conservative when
technology assessment for BEVs and
compared to the studies from NREL,
FCEVs discussed in DRIA Chapter 2.
ICCT, ACT Research, and EDF/ERM.
Table V–3 shows the ZEV adoption rates
Therefore, we may be projecting
by vehicle type used in modeling the
emission reductions due to the
proposed standards that are greater than control case for the proposal in MOVES.
could be expected using a reference case ZEV adoption rates for the alternative
are discussed in Section IX. Further
that reflects higher levels of ZEV
discussion of the ZEV adoption rates we
adoption in the HD market absent our
rule. At the same time, our use of this
modeled can be found in DRIA Chapter
reference case would also be
4.3.
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TABLE V–3—HD ZEV ADOPTION RATES IN THE CONTROL CASE USED TO MODEL THE PROPOSED STANDARDS
Vocational
source types
41–54
(percent)
Model year
MY
MY
MY
MY
MY
MY
2027
2028
2029
2030
2031
2032
......................................................................................................................................
......................................................................................................................................
......................................................................................................................................
......................................................................................................................................
......................................................................................................................................
and later .......................................................................................................................
20
25
30
35
40
50
Short-haul
tractors source
type 61
(percent)
Long-haul
tractors a
source Type
62
(percent)
10
12
15
20
30
35
0.3
0.7
1.0
10
20
25
a For sleeper cab tractors, which are represented by long-haul tractors (source type 62) in MOVES, we are not proposing revisions to MY 2027
standards or new standards for MYs 2028 or 2029. ZEV adoption for this source type in these model years was set to be equal to the reference
case.
2. IPM Inputs
We used IPM to estimate the EGU
emissions associated with the additional
energy demand from increased HD ZEV
adoption. We do not have IPM output
from runs directly corresponding to the
reference case and proposal, so we
approximated the EGU emission
impacts of the proposal based on IPM
runs that did not specifically model that
scenario. The details of this
methodology, including its simplifying
assumptions and limitations, can be
found in Chapter 4.3.3 of the draft RIA.
To account for the upstream
emissions from the production of
hydrogen used to fuel FCEVs, we made
a simplifying assumption that all
hydrogen used for FCEVs is produced
via grid electrolysis of water and can
therefore be entirely represented as
additional demand to EGUs and
modeled using IPM.664 We developed a
scaling factor to account for the amount
of hydrogen that would need to be
produced to meet the FCEV energy
demand calculated by MOVES. More
details on the derivation of the scaling
factors can be found in Chapter 4.3 of
the draft RIA. We invite stakeholders to
comment and provide additional
information on our approach to
modeling the emissions impact of
hydrogen production. Commenters may
also provide input on other data or
modeling approaches that EPA should
consider when estimating emissions
from hydrogen production in the final
rulemaking.
B. Estimated Emission Impacts From the
Proposed Standards
This NPRM includes proposed CO2
emission standards for MYs 2027
through 2032. Because we anticipate an
increase in the use of heavy-duty ZEVs
to meet the proposed emission
standards, and ZEVs do not produce any
tailpipe emissions, we expect
downstream GHG emissions reductions
as well as reductions in emissions of
criteria pollutants and air toxics. As
described in Section V.A, we modeled
the proposed standards in MOVES3.R3
by increasing the adoption of heavyduty BEVs and FCEVs relative to the
reference case, which means the
primary driving factor behind the
projected emission reductions is the
displacement of ICE vehicles with ZEVs.
The downstream emissions are
presented in Section V.B.1.
We also expect the increased adoption
of HD ZEVs to increase emissions from
EGUs and decrease emissions from
refineries. Section V.B.2 presents these
upstream emissions impacts, Section
V.B.3 presents the net emission impacts
of the proposed standards, and the
downstream and upstream impacts of
the alternative are discussed in Section
IX.
Because all our modeling is done for
a full national domain, all emissions
impacts cover the full national
inventory. Emissions impacts in other
domains, such as particular regions or
localities in the United States, are likely
to differ from the impacts presented
here.
1. Estimated Impacts on Downstream
Emissions
Our estimates of the downstream
emission reductions of GHGs that would
result from the proposed standards,
relative to the reference case emission
inventory without the proposed
standards, are presented in Table V–4
for calendar years 2035, 2045, and 2055.
Total GHG emissions, or CO2 equivalent
(CO2e), are calculated by summing all
GHG emissions multiplied by their 100year Global Warming Potentials
(GWP).665
TABLE V–4—ANNUAL DOWNSTREAM HEAVY-DUTY GHG EMISSION REDUCTIONS FROM THE PROPOSED STANDARDS IN
CALENDAR YEARS (CY) 2035, 2045, AND 2055
CY 2035 reductions
Pollutant
100-year GWP
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Carbon Dioxide (CO2) ..
Million metric
tons
1
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Million metric
tons
Percent
51
664 Hydrogen in the U.S. today is primarily
produced via steam methane reforming (SMR)
largely as part of petroleum refining and ammonia
production. Given the BIL and the IRA provisions
that meaningfully incentivize reducing the
emissions and carbon intensity of hydrogen
production, as well as new transportation and other
demand drivers and potential future regulation, it
is anticipated there will be a shift in how hydrogen
is produced. Considering this and because
CY 2045 reductions
13
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Million metric
tons
Percent
102
electrolysis is a key mature technology for hydrogen
production, our analysis includes the simplifying
assumption that increased levels of hydrogen to fuel
FCEVs will be produced using grid electrolysis. We
recognize that the relative emissions impact of
hydrogen production via SMR versus grid
electrolysis depends on how electricity is produced,
which varies significantly by region across the
country. We also recognize that electrolysis
powered by electricity from the grid on average in
CY 2055 reductions
26
125
Percent
30
the U.S. may overestimate the upstream emissions
impacts that are attributable to HD FCEVs in our
analysis. See DRIA Chapter 4.3.3 for additional
discussion.
665 The GWP values used by MOVES are values
used in the 2007 IPCC Fourth Assessment Report
(AR4). The Intergovernmental Panel on Climate
Change, Climate Change 2007: Impacts, Adaptation
and Vulnerability. https://www.ipcc.ch/site/assets/
uploads/2018/03/ar4_wg2_full_report.pdf.
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TABLE V–4—ANNUAL DOWNSTREAM HEAVY-DUTY GHG EMISSION REDUCTIONS FROM THE PROPOSED STANDARDS IN
CALENDAR YEARS (CY) 2035, 2045, AND 2055—Continued
CY 2035 reductions
Pollutant
100-year GWP
Methane (CH4) .............
Nitrous Oxide (N2O) .....
CO2 Equivalent (CO2e)
Million metric
tons
25
298
........................
Million metric
tons
Percent
0.004
0.007
53
In 2055, we estimate that the proposal
would reduce downstream emissions of
CO2 by 30 percent, methane by 31
percent, and nitrous oxide by 28
percent, resulting in a reduction of 30
percent for total CO2 equivalent
CY 2045 reductions
8
12
13
CY 2055 reductions
0.015
0.013
106
emissions. Table V–4 also shows that
most of the GHG emission reductions
would be from CO2, which would
represent approximately 96 percent of
all heavy-duty GHG emission reductions
from the proposed standards.
Million metric
tons
Percent
24
24
26
Percent
0.032
0.015
130
31
28
30
The warming impacts of GHGs are
cumulative. Table V–5 presents the
cumulative GHG reductions that would
result from the proposed standards in
2055, in billion metric tons (BMT).
TABLE V–5—CUMULATIVE 2027–2055 DOWNSTREAM HEAVY-DUTY GHG EMISSION REDUCTIONS FROM THE PROPOSED
STANDARDS
Reduction in
BMT
Pollutant
Carbon Dioxide (CO2) ..............................................................................................................................................
Methane (CH4) .........................................................................................................................................................
Nitrous Oxide (N2O) .................................................................................................................................................
CO2 Equivalent (CO2e) ............................................................................................................................................
Cumulative emission reductions
increase over time from 2027 through
2055, as more HD ZEVs meeting the
proposed standards enter the fleet. This
is discussed in more detail in Chapter
4.4.3 of the draft RIA.
We expect the proposed CO2 emission
standards will lead to an increase in HD
ZEVs, which will result in reductions of
non-GHG pollutants. Table V–6 presents
our estimates of the downstream
emission reductions of criteria
Percent
reduction
2.2
0.00035
0.00028
2.3
18
17
17
18
pollutants and air toxics from heavyduty vehicles that would result from the
proposed standards in calendar years
2035, 2045, and 2055.
TABLE V–6—ANNUAL DOWNSTREAM HEAVY-DUTY EMISSION REDUCTIONS FROM THE PROPOSED STANDARDS IN
CALENDAR YEARS (CY) 2035, 2045, AND 2055 FOR CRITERIA POLLUTANTS AND AIR TOXICS
CY 2035 reductions
CY 2045 reductions
CY 2055 reductions
Pollutant
U.S. Tons
Nitrogen Oxides (NOX) ............................
Primary Exhaust PM2.5 ............................
Volatile Organic Compounds (VOC) ........
Sulfur Dioxide (SO2) ................................
Carbon Monoxide (CO) ............................
1,3-Butadiene ...........................................
Acetaldehyde ...........................................
Benzene ...................................................
Formaldehyde ..........................................
Naphthalenea ...........................................
Ethylbenzene ...........................................
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16,232
271
6,016
204
98,889
19
123
109
83
6
70
U.S. Tons
4
6
11
13
11
22
11
17
8
10
11
Percent
56,191
690
14,219
414
244,649
48
298
281
217
16
175
U.S. Tons
21
30
28
27
28
46
30
41
27
38
30
Percent
70,838
967
20,775
518
349,704
68
454
410
361
21
266
28
39
37
31
35
51
35
49
33
45
41
includes both gas and particle phase emissions.
In 2055, we estimate the proposal
would reduce heavy-duty vehicle
emissions of NOX by 28 percent, PM2.5
by 39 percent, VOC by 37 percent, and
SO2 by 31 percent. Reductions in air
toxics range from 33 percent for
formaldehyde to 51 percent for 1,3butadiene.
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Chapter 4.4 of the draft RIA contains
more details on downstream emission
reductions by vehicle type, fuel type,
and emission process, as well as yearover-year impacts from 2027 through
2055.
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2. Estimated Impacts on Upstream
Emissions
Our estimates of the additional CO2
emissions from EGUs due to the
proposed standards, relative to the
reference case, are presented in Table
V–7 for calendar years 2035, 2045, and
2055, in million metric tons (MMT).
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TABLE V–7—ANNUAL CO2 EMISSION INCREASES FROM EGUS FROM THE PROPOSED STANDARDS IN CALENDAR YEARS
(CY) 2035, 2045, AND 2055
Additional EGU emissions (mmt)
Pollutant
CY 2035
CY 2045
CY 2055
20
16
11
Carbon Dioxide (CO2) ..................................................................................................................
In 2055, we estimate the proposal
would increase EGU emissions of CO2
by 11 million metric tons, compared to
20 million metric tons in 2035. The EGU
impacts decrease over time because of
changes in the projected power
generation mix as electricity generation
uses less fossil fuels. This is discussed
in more detail in Chapter 4.5 of the
DRIA. In total, we estimate the proposal
will lead, cumulatively, to 0.4 BMT of
additional CO2 emissions from EGUs
from 2027 to 2055.
Table V–8 shows the estimated
impact of the proposed standards on
EGU emissions for some criteria
pollutants.
TABLE V–8—ANNUAL CRITERIA POLLUTANT EMISSION INCREASES FROM EGUS FROM THE PROPOSED STANDARDS IN
CALENDAR YEARS (CYS) 2035, 2045, AND 2055
Additional EGU emissions (U.S. tons)
Pollutant
CY 2035
Nitrogen Oxides (NOX) ................................................................................................................
Primary PM2.5 ...............................................................................................................................
Volatile Organic Compounds (VOC) ...........................................................................................
Sulfur Dioxide (SO2) ....................................................................................................................
Chapter 4.5 of the DRIA contains
more detail and discussion of the
impacts of the proposed CO2 emission
standards on EGU emissions, including
year-over-year impacts from 2027
through 2055.
In addition to EGU emissions impacts,
we also estimated impacts on select
criteria pollutant emissions from
refineries for calendar year 2055. This
analysis assumes that the reduction in
demand for liquid fuels would lead to
reduced activity and emissions at
refineries. The results are presented in
Table V–9. Additional detail on the
refinery analysis is available in Chapters
4.3.3 and 4.5 of the DRIA.
2,821
1,216
629
9,937
CY 2045
CY 2055
2,226
1,043
772
2,552
787
751
754
912
reduce demand for refined fuels, we did
not quantify emissions changes
associated with producing or extracting
crude or transporting crude or refined
fuels. Also, because our analysis of
refinery emissions only included select
CY 2055
criteria pollutants, refinery emission
refinery
Pollutant
emission
impacts are not included in GHG
reductions
emission impacts. Therefore, this
(U.S. tons)
analysis likely underestimates the net
NOX ......................................
1,785 emissions reductions that may result
PM2.5 .....................................
436 from the proposal. As discussed in
VOC ......................................
1,227 Section II.G, EPA considered these net
SO2 .......................................
642 impacts as supportive of the proposed
standards.
3. Estimated Impacts on Combined
Table V–10 shows a summary of our
Downstream and Upstream Emissions
modeled downstream, upstream, and
While we present a net emissions
net CO2 emission impacts of the
impact of the proposed CO2 emission
proposed standards relative to the
standards, it is important to note that
reference case (i.e., the emissions
some upstream emission sources are not inventory without the proposed
included in the analysis. Although we
standards), in million metric tons, for
expect the proposed CO2 standards to
calendar years 2035, 2045, and 2055.
TABLE V–9—CRITERIA POLLUTANT
EMISSION REDUCTIONS FROM REFINERIES FROM THE PROPOSED
STANDARDS IN 2055
TABLE V–10—ANNUAL NET IMPACTS a ON CO2 EMISSIONS FROM THE PROPOSED CO2 EMISSION STANDARDS IN
CALENDAR YEARS (CYS) 2035, 2045, AND 2055
CY 2035 impacts (MMT)
CY 2045 impacts (MMT)
CY 2055 impacts (MMT)
Pollutant
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CO2 ..........................................................
a We
Downstream
EGU
Net
Downstream
EGU
Net
Downstream
EGU
Net
¥51
20
¥31
¥102
16
¥86
¥125
11
¥114
present emissions reductions as negative numbers and emission increases as positive numbers.
In 2055, we estimate the proposal
would result in a net decrease of 114
million metric tons in CO2 emissions.
The net decreases become larger
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between 2035 and 2055 as the HD fleet
turns over and the power grid uses less
fossil fuels.
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The warming impacts of GHGs are
cumulative. In Table V–11, we present
the cumulative net CO2 emissions
impact that we expect would result from
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the proposed standards, accounting for
downstream emission reductions and
EGU emission increases. Overall, we
estimate the proposal would result in a
26045
net reduction of 1.8 billion metric tons
of CO2 emissions from 2027 to 2055.
TABLE V–11—CUMULATIVE 2027–2055 NET CO2 EMISSION IMPACTS a (IN BMT) REFLECTING THE PROPOSED CO2
EMISSION STANDARDS
Pollutant
Downstream
EGU
Net
Carbon Dioxide (CO2) ..................................................................................................................
¥2.2
0.4
¥1.8
a We
present emissions reductions as negative numbers and emission increases as positive numbers.
Table V–12 contains a summary of the
modeled net impacts of the proposed
CO2 emission standards on criteria
pollutant emissions considering
downstream and EGUs, relative to the
reference case (i.e., without the
proposed standards), for calendar years
2035 and 2045. Table V–13 contains a
similar summary for calendar year 2055
that includes estimates of net impacts of
refinery, EGU, and downstream
emissions.
TABLE V–12—ANNUAL NET IMPACTS a ON CRITERIA POLLUTANT EMISSIONS FROM THE PROPOSED CO2 EMISSION
STANDARDS IN CALENDAR YEARS (CYS) 2035 AND 2045
CY 2035 impacts (U.S. tons)
CY 2045 impacts (U.S. tons)
Pollutant
Downstream
¥16,232
¥271
¥6,016
¥204
NOX ..........................................................
PM2.5 ........................................................
VOC .........................................................
SO2 ...........................................................
a We
EGU
Net
¥13,411
945
¥5,387
9,732
2,821
1,216
629
9,937
Downstream
¥56,191
¥690
¥14,219
¥414
EGU
2,226
1,043
772
2,552
Net
¥53,966
352
¥13,447
2,138
present emissions reductions as negative numbers and emission increases as positive numbers.
TABLE V–13—NET IMPACTS a ON CRITERIA POLLUTANT EMISSIONS FROM THE PROPOSED CO2 EMISSION STANDARDS IN
CY 2055
CY 2055 impacts (U.S. tons)
Pollutant
Downstream
NOX ..................................................................................................................
PM2.5 ................................................................................................................
VOC .................................................................................................................
SO2 ..................................................................................................................
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a We
EGU
¥70,838
¥967
¥20,775
¥518
Refinery
787
751
754
912
¥1,785
¥436
¥1,227
¥642
Net
¥71,836
¥652
¥21,248
¥248
present emissions reductions as negative numbers and emission increases as positive numbers.
By 2055, when considering
downstream, EGU, and refinery
emissions, we estimate a net decrease in
emissions from all pollutants that we
modeled for all emissions sources (i.e.,
NOX, PM2.5, VOC, and SO2). In earlier
years, when considering only
downstream and EGU emissions, we
estimate net decreases of NOX and VOC
emissions, but net increases of PM2.5
and SO2 emissions. These increases
become smaller over time.
Overall, we estimate that the proposal
will lead to net reductions in emissions
of most pollutants because downstream
emission reductions tend to outpace
EGU emission increases. We estimate
that reductions will start small and
increase from 2027 through 2055. It is
possible there are increases in emissions
of PM2.5 and SO2 in the nearer term as
the electricity generation mix still relies
on a relatively higher proportion of
fossil fuels. While we do not have
refinery emission impacts estimated for
all calendar years, it is possible that
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refinery emission reductions combined
with downstream emission reductions
also outpace EGU emission increases. In
2055, for example, we estimate that
refinery and downstream emission
reductions exceed EGU emission
increases of SO2.
VI. Climate, Health, Air Quality,
Environmental Justice, and Economic
Impacts
In this section, we discuss the impacts
of the NPRM on climate change, health
and environmental effects,
environmental justice, and oil and
electricity consumption. We also
discuss our approaches to analyzing the
impact of this proposal on the heavyduty vehicle market and employment.
A. Climate Change Impacts
Extensive information on climate
change impacts is available in the
scientific assessments that are briefly
described in this section, as well as in
the technical and scientific information
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supporting them. One of those
documents is the EPA’s 2009
Endangerment and Cause or Contribute
Findings for GHGs Under section 202(a)
of the CAA (74 FR 66496; December 15,
2009).666 In the 2009 Endangerment
Findings, the Administrator found
under section 202(a) of the CAA that
elevated atmospheric concentrations of
six key well-mixed GHGs—CO2, CH4,
N2O, hydrofluorocarbons (HFCs),
perfluorocarbons (PFCs), and sulfur
hexafluoride (SF6)—‘‘may reasonably be
anticipated to endanger the public
health and welfare of current and future
generations’’ (74 FR 66523; December
15, 2009), and the science and observed
changes have confirmed and
strengthened the understanding and
concerns regarding the climate risks
considered in the Finding. The 2009
Endangerment Findings, together with
666 In describing these 2009 Findings in this
proposal, the EPA is neither reopening nor
revisiting them.
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the extensive scientific and technical
evidence in the supporting record,
documented that climate change caused
by human emissions of GHGs threatens
the public health of the U.S. population.
The most recent information
demonstrates that the climate is
continuing to change in response to the
human-induced buildup of GHGs in the
atmosphere. Recent scientific
assessments show that atmospheric
concentrations of GHGs have risen to a
level that has no precedent in human
history and that they continue to climb,
primarily because of both historic and
current anthropogenic emissions, and
that these elevated concentrations
endanger our health by affecting our
food and water sources, the air we
breathe, the weather we experience, and
our interactions with the natural and
built environments.
Global average temperature has
increased by about 1.1 degrees Celsius
(°C) (2.0 degrees Fahrenheit (°F)) in the
2011–2020 decade relative to 1850–
1900.667 The IPCC determined with
medium confidence that this past
decade was warmer than any multicentury period in at least the past
100,000 years.668 Global average sea
level has risen by about 8 inches (about
21 centimeters (cm)) from 1901 to 2018,
with the rate from 2006 to 2018 (0.15
inches/year or 3.7 millimeters (mm)/
year) almost twice the rate over the 1971
to 2006 period, and three times the rate
of the 1901 to 2018 period.669 The rate
of sea level rise during the 20th Century
was higher than in any other century in
at least the last 2,800 years.670 The CO2
being absorbed by the ocean has
resulted in changes in ocean chemistry
due to acidification of a magnitude not
seen in 65 million years,671 putting
667 IPCC, 2021: Summary for Policymakers. In:
Climate Change 2021: The Physical Science Basis.
Contribution of Working Group I to the Sixth
Assessment Report of the Intergovernmental Panel
on Climate Change [Masson-Delmotte, V., P. Zhai,
A. Pirani, S.L. Connors, C. Pe´an, S. Berger, N.
Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang,
K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K.
Maycock, T. Waterfield, O. Yelekc¸i, R. Yu and B.
Zhou (eds.)]. Cambridge University Press.
668 Ibid.
669 Ibid.
670 USGCRP, 2018: Impacts, Risks, and
Adaptation in the United States: Fourth National
Climate Assessment, Volume II [Reidmiller, D.R.,
C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M.
Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S.
Global Change Research Program, Washington, DC,
USA, 1515 pp. doi: 10.7930/NCA4.2018.
671 IPCC, 2018: Global Warming of 1.5 °C. An
IPCC Special Report on the impacts of global
warming of 1.5 °C above pre-industrial levels and
related global greenhouse gas emission pathways, in
the context of strengthening the global response to
the threat of climate change, sustainable
development, and efforts to eradicate poverty
[Masson-Delmotte, V., P. Zhai, H.-O. Portner, D.
Roberts, J. Skea, P.R. Shukla, A. Pirani, W.
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many marine species—particularly
calcifying species—at risk. Humaninduced climate change has led to
heatwaves and heavy precipitation
becoming more frequent and more
intense, along with increases in
agricultural and ecological droughts 672
in many regions.673 The NCA4 found
that it is very likely (greater than 90
percent likelihood) that by mid-century,
the Arctic Ocean will be almost entirely
free of sea ice by late summer for the
first time in about 2 million years.674
Coral reefs will be at risk for almost
complete (99 percent) losses with 1 °C
(1.8 °F) of additional warming from
today (2 °C or 3.6 °F since preindustrial).
At this temperature, between 8 and 18
percent of animal, plant, and insect
species could lose over half of the
geographic area with suitable climate for
their survival, and 7 to 10 percent of
rangeland livestock would be projected
to be lost.675 The IPCC similarly found
that climate change has caused
substantial damages and increasingly
irreversible losses in terrestrial,
freshwater, and coastal and open ocean
marine ecosystems.676
Scientific assessments also
demonstrate that even modest
additional amounts of warming may
lead to a climate different from anything
humans have ever experienced. Every
additional increment of temperature
comes with consequences. For example,
the half-degree of warming from 1.5 to
2 °C (0.9 °F of warming from 2.7 °F to
3.6 °F) above preindustrial temperatures
is projected on a global scale to expose
420 million more people to frequent
extreme heatwaves, and 62 million more
people to frequent exceptional
heatwaves (where heatwaves are
defined based on a heat wave magnitude
index which takes into account duration
and intensity—using this index, the
2003 French heat wave that led to
almost 15,000 deaths would be
Moufouma-Okia, C. Pe´an, R. Pidcock, S. Connors,
J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E.
Lonnoy, T. Maycock, M. Tignor, and T. Waterfield
(eds.)].
672 These are drought measures based on soil
moisture.
673 IPCC, 2021.
674 USGCRP, 2021.
675 IPCC, 2018.
676 IPCC, 2022: Summary for Policymakers [H.-O.
Po¨rtner, D.C. Roberts, E.S. Poloczanska, K.
Mintenbeck, M. Tignor, A. Alegrı´a, M. Craig, S.
Langsdorf, S. Lo¨schke, V. Mo¨ller, A. Okem (eds.)].
In: Climate Change 2022: Impacts, Adaptation and
Vulnerability. Contribution of Working Group II to
the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change [H.-O.
Po¨rtner, D.C. Roberts, M. Tignor, E.S. Poloczanska,
K. Mintenbeck, A. Alegrı´a, M. Craig, S. Langsdorf,
S. Lo¨schke, V. Mo¨ller, A. Okem, B. Rama (eds.)].
Cambridge University Press, Cambridge, UK and
New York, NY, USA, pp. 3–33, doi:10.1017/
9781009325844.001.
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classified as an ‘‘extreme heatwave’’ and
the 2010 Russian heatwave which led to
thousands of deaths and extensive
wildfires would be classified as
‘‘exceptional’’). Every additional degree
will intensify extreme precipitation
events by about 7 percent. The peak
winds of the most intense tropical
cyclones (hurricanes) are projected to
increase with warming. In addition to a
higher intensity, the IPCC found that
precipitation and frequency of rapid
intensification of these storms has
already increased, while the movement
speed has decreased, and elevated sea
levels have increased coastal flooding,
all of which make these tropical
cyclones more damaging.677
The NCA4 recognized that climate
change can increase risks to national
security, both through direct impacts on
military infrastructure, but also by
affecting factors such as food and water
availability that can exacerbate conflict
outside U.S. borders. Droughts, floods,
storm surges, wildfires, and other
extreme events stress nations and
people through loss of life,
displacement of populations, and
impacts on livelihoods.678 Risks to food
security would increase from ‘‘medium’’
to ‘‘high’’ for several lower income
regions in the Sahel, southern Africa,
the Mediterranean, central Europe, and
the Amazon. In addition to food security
issues, this temperature increase would
have implications for human health in
terms of increasing ozone pollution,
heatwaves, and vector-borne diseases
(for example, expanding the range of the
mosquitoes which carry dengue fever,
chikungunya, yellow fever, and the Zika
virus; or the ticks that carry Lyme
disease or Rocky Mountain Spotted
Fever).679
The NCA4 also evaluated a number of
impacts specific to the United States.
Severe drought and outbreaks of insects
like the mountain pine beetle have
killed hundreds of millions of trees in
the western United States. Wildfires
have burned more than 3.7 million acres
in 14 of the 17 years between 2000 and
2016, and Federal wildfire suppression
costs were about a billion dollars
annually.680 The National Interagency
Fire Center has documented U.S.
wildfires since 1983; the 10 years with
the largest acreage burned have all
occurred since 2004.681 Wildfire smoke
degrades air quality, increasing health
677 IPCC,
2021.
2018.
679 IPCC, 2018.
680 USGCRP, 2018.
681 NIFC (National Interagency Fire Center). 2022.
Total wildland fires and acres (1983–2020).
Accessed November 2022. https://www.nifc.gov/
sites/default/files/document-media/TotalFires.pdf.
678 USGCRP,
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risks. More frequent and severe
wildfires due to climate change would
further diminish air quality, increase
incidences of respiratory illness, impair
visibility, and disrupt outdoor activities,
sometimes thousands of miles from the
location of the fire.682
While GHGs collectively are not the
only factor that controls climate, it is
illustrative that 3 million years ago (the
last time CO2 concentrations were this
high) Greenland was not yet completely
covered by ice and still supported
forests, while 23 million years ago (the
last time concentrations were above 450
ppm) the West Antarctic ice sheet was
not yet developed, indicating the
possibility that high GHG
concentrations could lead to a world
that looks very different from today and
from the conditions in which human
civilization has developed. If the
Greenland and Antarctic ice sheets were
to melt substantially, sea levels would
rise dramatically—the IPCC estimated
that during the next 2,000 years, sea
level will rise by 7 to 10 feet even if
warming is limited to 1.5 °C (2.7 °F),
from 7 to 20 feet if limited to 2 °C
(3.6 °F), and by 60 to 70 feet if warming
is allowed to reach 5 °C (9 °F) above
preindustrial levels.683 For context,
almost all of the city of Miami is less
than 25 feet above sea level, and the
NCA4 stated that 13 million Americans
would be at risk of migration due to 6
feet of sea level rise. Meanwhile, sea
level rise has amplified coastal flooding
and erosion impacts, requiring the
installation of costly pump stations,
flooding streets, and increasing storm
surge damages. Tens of billions of
dollars of U.S. real estate could be
below sea level by 2050 under some
scenarios. Increased frequency and
duration of drought will reduce
agricultural productivity in some
regions, accelerate depletion of water
supplies for irrigation, and expand the
distribution and incidence of pests and
diseases for crops and livestock.
Transportation is the largest U.S.
source of GHG emissions, representing
27 percent of total GHG emissions.
Within the transportation sector, heavyduty vehicles are the second largest
contributor to GHG emissions and are
responsible for 25 percent of GHG
emissions in the sector. The reduction
in GHG emissions from the standards in
this proposal, quantified in Section V of
this preamble, would contribute toward
the goal of holding the increase in the
global average temperature to well
below 2 °C above pre-industrial levels,
and subsequently reduce the probability
682 USGCRP,
683 IPCC,
2018.
2021.
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of severe climate change-related impacts
including heat waves, drought, sea level
rise, extreme climate and weather
events, coastal flooding, and
wildfires.684 Section VI.D.1 of this
preamble discusses impacts of GHG
emissions on individuals living in
socially and economically vulnerable
communities. While EPA did not
conduct modeling to specifically
quantify changes in climate impacts
resulting from this rule in terms of
avoided temperature change or sea-level
rise, we did quantify climate benefits by
monetizing the emission reductions
through the application of the social
cost of greenhouse gases (SC–GHGs), as
described in Section VII.A of this
preamble.
B. Health and Environmental Effects
Associated With Exposure to Non-GHG
Pollutants
The non-GHG emissions that would
be impacted by the proposed rule
contribute, directly or via secondary
formation, to concentrations of
pollutants in the air which affect human
and environmental health. These
pollutants include particulate matter,
ozone, nitrogen oxides, sulfur oxides,
carbon monoxide and air toxics.
1. Background on Criteria and Air
Toxics Pollutants Impacted by This
Proposal
i. Particulate Matter
Particulate matter (PM) is a complex
mixture of solid particles and liquid
droplets distributed among numerous
atmospheric gases which interact with
solid and liquid phases. Particles in the
atmosphere range in size from less than
0.01 to more than 10 micrometers (mm)
in diameter.685 Atmospheric particles
can be grouped into several classes
according to their aerodynamic diameter
and physical sizes. Generally, the three
broad classes of particles include
ultrafine particles (UFPs, generally
considered as particles with a diameter
less than or equal to 0.1 mm [typically
based on physical size, thermal
diffusivity, or electrical mobility]),
‘‘fine’’ particles (PM2.5; particles with a
nominal mean aerodynamic diameter
less than or equal to 2.5 mm), and
‘‘thoracic’’ particles (PM10; particles
with a nominal mean aerodynamic
diameter less than or equal to 10 mm).
Particles that fall within the size range
between PM2.5 and PM10, are referred to
684 Paris Agreement FCCC/CP/2015/10/Add.1
https://unfccc.int/documents/9097.
685 U.S. EPA. Policy Assessment (PA) for the
Review of the National Ambient Air Quality
Standards for Particulate Matter (Final Report,
2020). U.S. Environmental Protection Agency,
Washington, DC, EPA/452/R–20/002, 2020.
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as ‘‘thoracic coarse particles’’ (PM10¥2.5,
particles with a nominal mean
aerodynamic diameter greater than 2.5
mm and less than or equal to 10 mm).
EPA currently has NAAQS for PM2.5 and
PM10.686
Most particles are found in the lower
troposphere, where they can have
residence times ranging from a few
hours to weeks. Particles are removed
from the atmosphere by wet deposition,
such as when they are carried by rain or
snow, or by dry deposition, when
particles settle out of suspension due to
gravity. Atmospheric lifetimes are
generally longest for PM2.5, which often
remains in the atmosphere for days to
weeks before being removed by wet or
dry deposition.687 In contrast,
atmospheric lifetimes for UFP and
PM10¥2.5 are shorter. Within hours, UFP
can undergo coagulation and
condensation that lead to formation of
larger particles in the accumulation
mode or can be removed from the
atmosphere by evaporation, deposition,
or reactions with other atmospheric
components. PM10¥2.5 are also generally
removed from the atmosphere within
hours, through wet or dry deposition.688
Particulate matter consists of both
primary and secondary particles.
Primary particles are emitted directly
from sources, such as combustionrelated activities (e.g., industrial
activities, motor vehicle operation,
biomass burning), while secondary
particles are formed through
atmospheric chemical reactions of
gaseous precursors (e.g., sulfur oxides
(SOX), nitrogen oxides (NOX) and
volatile organic compounds (VOCs)).
ii. Ozone
Ground-level ozone pollution forms
in areas with high concentrations of
ambient NOX and VOCs when solar
radiation is strong. Major U.S. sources of
NOX are highway and nonroad motor
vehicles, engines, power plants and
other industrial sources, with natural
sources, such as soil, vegetation, and
lightning, serving as smaller sources.
686 Regulatory definitions of PM size fractions,
and information on reference and equivalent
methods for measuring PM in ambient air, are
provided in 40 CFR parts 50, 53, and 58. With
regard to NAAQS which provide protection against
health and welfare effects, the 24-hour PM10
standard provides protection against effects
associated with short-term exposure to thoracic
coarse particles (i.e., PM10¥2.5).
687 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019. Table 2–1.
688 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019. Table 2–1.
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Vegetation is the dominant source of
VOCs in the United States. Volatile
consumer and commercial products,
such as propellants and solvents,
highway and nonroad vehicles, engines,
fires, and industrial sources also
contribute to the atmospheric burden of
VOCs at ground-level.
The processes underlying ozone
formation, transport, and accumulation
are complex. Ground-level ozone is
produced and destroyed by an
interwoven network of free radical
reactions involving the hydroxyl radical
(OH), NO, NO2, and complex reaction
intermediates derived from VOCs. Many
of these reactions are sensitive to
temperature and available sunlight.
High ozone events most often occur
when ambient temperatures and
sunlight intensities remain high for
several days under stagnant conditions.
Ozone and its precursors can also be
transported hundreds of miles
downwind, which can lead to elevated
ozone levels in areas with otherwise low
VOC or NOX emissions. As an air mass
moves and is exposed to changing
ambient concentrations of NOX and
VOCs, the ozone photochemical regime
(relative sensitivity of ozone formation
to NOX and VOC emissions) can change.
When ambient VOC concentrations
are high, comparatively small amounts
of NOX catalyze rapid ozone formation.
Without available NOX, ground-level
ozone production is severely limited,
and VOC reductions would have little
impact on ozone concentrations.
Photochemistry under these conditions
is said to be ‘‘NOX-limited.’’ When NOX
levels are sufficiently high, faster NO2
oxidation consumes more radicals,
dampening ozone production. Under
these ‘‘VOC-limited’’ conditions (also
referred to as ’’ NOX-saturated’’
conditions), VOC reductions are
effective in reducing ozone, and NOX
can react directly with ozone, resulting
in suppressed ozone concentrations
near NOX emission sources. Under these
NOX-saturated conditions, NOX
reductions can increase local ozone
under certain circumstances, but overall
ozone production (considering
downwind formation) decreases and,
even in VOC-limited areas, NOX
reductions are not expected to increase
ozone levels if the NOX reductions are
sufficiently large—large enough for
photochemistry to become NOX-limited.
iii. Nitrogen Oxides
Oxides of nitrogen (NOX) refers to
nitric oxide (NO) and nitrogen dioxide
(NO2). Most NO2 is formed in the air
through the oxidation of nitric oxide
(NO) emitted when fuel is burned at a
high temperature. NOX is a major
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contributor to secondary PM2.5
formation, and NOX along with VOCs
are the two major precursors of ozone.
iv. Sulfur Oxides
Sulfur dioxide (SO2), a member of the
sulfur oxide (SOX) family of gases, is
formed from burning fuels containing
sulfur (e.g., coal or oil), extracting
gasoline from oil, or extracting metals
from ore. SO2 and its gas phase
oxidation products can dissolve in
water droplets and further oxidize to
form sulfuric acid which reacts with
ammonia to form sulfates, which are
important components of ambient PM.
v. Carbon Monoxide
Carbon monoxide (CO) is a colorless,
odorless gas emitted from combustion
processes. Nationally, particularly in
urban areas, the majority of CO
emissions to ambient air come from
mobile sources.689
vi. Diesel Exhaust
Diesel exhaust is a complex mixture
composed of particulate matter, carbon
dioxide, oxygen, nitrogen, water vapor,
carbon monoxide, nitrogen compounds,
sulfur compounds and numerous lowmolecular-weight hydrocarbons. A
number of these gaseous hydrocarbon
components are individually known to
be toxic, including aldehydes, benzene
and 1,3-butadiene. The diesel
particulate matter present in diesel
exhaust consists mostly of fine particles
(less than 2.5 mm), of which a significant
fraction is ultrafine particles (less than
0.1 mm). These particles have a large
surface area which makes them an
excellent medium for adsorbing
organics, and their small size makes
them highly respirable. Many of the
organic compounds present in the gases
and on the particles, such as polycyclic
organic matter, are individually known
to have mutagenic and carcinogenic
properties.
Diesel exhaust varies significantly in
chemical composition and particle sizes
between different engine types (heavyduty, light-duty), engine operating
conditions (idle, acceleration,
deceleration), and fuel formulations
(high/low sulfur fuel). Also, there are
emissions differences between on-road
and nonroad engines because the
nonroad engines are generally of older
technology. After being emitted in the
engine exhaust, diesel exhaust
undergoes dilution as well as chemical
689 U.S. EPA, (2010). Integrated Science
Assessment for Carbon Monoxide (Final Report).
U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–09/019F, 2010. https://
cfpub.epa.gov/ncea/cfm/recordisplay.
cfm?deid=218686. See Section 2.1.
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and physical changes in the atmosphere.
The lifetimes of the components present
in diesel exhaust range from seconds to
days.
vii. Air Toxics
The most recent available data
indicate that millions of Americans live
in areas where air toxics pose potential
health concerns.690 691 The levels of air
toxics to which people are exposed vary
depending on where people live and
work and the kinds of activities in
which they engage, as discussed in
detail in EPA’s 2007 Mobile Source Air
Toxics Rule.692 According to EPA’s Air
Toxics Screening Assessment
(AirToxScreen) for 2018, mobile sources
were responsible for 40 percent of
outdoor anthropogenic toxic emissions
and were the largest contributor to
national average cancer and noncancer
risk from directly emitted
pollutants.693 694 Mobile sources are also
significant contributors to precursor
emissions which react to form air
toxics.695 Formaldehyde is the largest
contributor to cancer risk of all 71
pollutants quantitatively assessed in the
2018 AirToxScreen. Mobile sources
were responsible for 26 percent of
primary anthropogenic emissions of this
pollutant in 2018 and are significant
contributors to formaldehyde precursor
emissions. Benzene is also a large
contributor to cancer risk, and mobile
sources account for about 60 percent of
average exposure to ambient
concentrations.
690 Air toxics are pollutants known to cause or
suspected of causing cancer or other serious health
effects. Air toxics are also known as toxic air
pollutants or hazardous air pollutants. https://
www.epa.gov/AirToxScreen/airtoxscreen-glossaryterms#air-toxics.
691 U.S. EPA (2022) Technical Support Document
EPA Air Toxics Screening Assessment.
2017AirToxScreen TSD. https://www.epa.gov/
system/files/documents/2022-03/airtoxscreen_
2017tsd.pdf.
692 U.S. Environmental Protection Agency (2007).
Control of Hazardous Air Pollutants from Mobile
Sources; Final Rule. 72 FR 8434, February 26, 2007.
693 U.S. EPA. (2022) 2018 Air Toxics Screening
Assessment. https://www.epa.gov/AirToxScreen/
2018-airtoxscreen-assessment-results.
694 AirToxScreen also includes estimates of risk
attributable to background concentrations, which
includes contributions from long-range transport,
persistent air toxics, and natural sources; as well as
secondary concentrations, where toxics are formed
via secondary formation. Mobile sources
substantially contribute to long-range transport and
secondarily formed air toxics.
695 Rich Cook, Sharon Phillips, Madeleine Strum,
Alison Eyth & James Thurman (2020): Contribution
of mobile sources to secondary formation of
carbonyl compounds, Journal of the Air & Waste
Management Association, DOI: 10.1080/
10962247.2020.1813839.
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contaminants and environmental health
of children.702
2. Health Effects Associated With
Exposure to Non-GHG Pollutants
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Emissions sources impacted by this
proposal emit pollutants that contribute
to ambient concentrations of non-GHG
pollutants. This section of the preamble
discusses the health effects associated
with exposure to these pollutants.
Additionally, because children have
increased vulnerability and
susceptibility for adverse health effects
related to air pollution exposures, EPA’s
findings regarding adverse effects for
children related to exposure to
pollutants that are impacted by this rule
are noted in this section. The increased
vulnerability and susceptibility of
children to air pollution exposures may
arise because infants and children
generally breathe more relative to their
size than adults, and consequently they
may be exposed to relatively higher
amounts of air pollution.696 Children
also tend to breathe through their
mouths more than adults, and their
nasal passages are less effective at
removing pollutants, which leads to
greater lung deposition of some
pollutants such as PM.697 698
Furthermore, air pollutants may pose
health risks specific to children because
children’s bodies are still developing.699
For example, during periods of rapid
growth such as fetal development,
infancy and puberty, their developing
systems and organs may be more easily
harmed.700 701 EPA produces the report
titled ‘‘America’s Children and the
Environment,’’ which presents national
trends on air pollution and other
696 EPA (2009) Metabolically-derived ventilation
rates: A revised approach based upon oxygen
consumption rates. Washington, DC: Office of
Research and Development. EPA/600/R–06/129F.
https://cfpub.epa.gov/ncea/cfm/recordisplay.
cfm?deid=202543.
697 U.S. EPA Integrated Science Assessment for
Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019. Chapter 4 ‘‘Overall
Conclusions’’ p. 4–1.
698 Foos, B.; Marty, M.; Schwartz, J.; Bennet, W.;
Moya, J.; Jarabek, A.M.; Salmon, A.G. (2008)
Focusing on children’s inhalation dosimetry and
health effects for risk assessment: An introduction.
J Toxicol Environ Health 71A: 149–165.
699 Children’s environmental health includes
conception, infancy, early childhood and through
adolescence until 21 years of age as described in the
EPA Memorandum: Issuance of EPA’s 2021 Policy
on Children’s Health. October 5, 2021. Available at
https://www.epa.gov/system/files/documents/202110/2021-policy-on-childrens-health.pdf.
700 EPA (2006) A Framework for Assessing Health
Risks of Environmental Exposures to Children.
EPA, Washington, DC, EPA/600/R–05/093F, 2006.
701 U.S. Environmental Protection Agency. (2005).
Supplemental guidance for assessing susceptibility
from early-life exposure to carcinogens.
Washington, DC: Risk Assessment Forum. EPA/630/
R–03/003F. https://www3.epa.gov/airtoxics/
childrens_supplement_final.pdf.
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can also be found in the 2022 Policy
Assessment for the review of the PM
NAAQS.706
i. Particulate Matter
EPA has concluded that recent
Scientific evidence spanning animal
evidence in combination with evidence
toxicological, controlled human
evaluated in the 2009 PM ISA supports
exposure, and epidemiologic studies
a ‘‘causal relationship’’ between both
shows that exposure to ambient PM is
long- and short-term exposures to PM2.5
associated with a broad range of health
and premature mortality and
effects. These health effects are
cardiovascular effects and a ‘‘likely to be
discussed in detail in the Integrated
causal relationship’’ between long- and
Science Assessment for Particulate
short-term PM2.5 exposures and
Matter, which was finalized in
respiratory effects.707 Additionally,
December 2019 (2019 PM ISA), with a
recent experimental and epidemiologic
more targeted evaluation of studies
studies provide evidence supporting a
published since the literature cutoff date ‘‘likely to be causal relationship’’
of the 2019 PM ISA in the Supplement
between long-term PM2.5 exposure and
to the Integrated Science Assessment for nervous system effects and between
PM (Supplement).703 704 The PM ISA
long-term PM2.5 exposure and cancer.
characterizes the causal nature of
Because of remaining uncertainties and
relationships between PM exposure and limitations in the evidence base, EPA
broad health categories (e.g.,
determined a ‘‘suggestive of, but not
cardiovascular effects, respiratory
sufficient to infer, a causal relationship’’
effects, etc.) using a weight-of-evidence
for long-term PM2.5 exposure and
approach.705 Within this
reproductive and developmental effects
characterization, the PM ISA
(i.e., male/female reproduction and
summarizes the health effects evidence
fertility; pregnancy and birth outcomes),
for short-term (i.e., hours up to one
long- and short-term exposures and
month) and long-term (i.e., one month to metabolic effects, and short-term
years) exposures to PM2.5, PM10-2.5, and
exposure and nervous system effects.
ultrafine particles and concludes that
As discussed extensively in the 2019
exposures to ambient PM2.5 are
PM ISA and the Supplement, recent
associated with a number of adverse
studies continue to support a ‘‘causal
health effects. The discussion in this
relationship’’ between short- and longSection VI.B.2.i highlights the PM ISA’s term PM2.5 exposures and
conclusions and summarizes additional mortality.708 709 For short-term PM2.5
information from the Supplement where exposure, multi-city studies, in
appropriate, pertaining to the health
combination with single- and multi-city
effects evidence for both short- and
studies evaluated in the 2009 PM ISA,
long-term PM exposures. Further
provide evidence of consistent, positive
discussion of PM-related health effects
associations across studies conducted in
different geographic locations,
702 U.S. EPA. America’s Children and the
populations with different demographic
Environment. Available at: https://www.epa.gov/
characteristics, and studies using
americaschildrenenvironment.
different exposure assignment
703 U.S. EPA. Integrated Science Assessment (ISA)
techniques. Additionally, the consistent
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC, and coherent evidence across scientific
EPA/600/R–19/188, 2019.
disciplines for cardiovascular
704 U.S. EPA. Supplement to the 2019 Integrated
morbidity, particularly ischemic events
Science Assessment for Particulate Matter (Final
and heart failure, and to a lesser degree
Report, 2022). U.S. Environmental Protection
Agency, Washington, DC, EPA/635/R–22/028, 2022. for respiratory morbidity, including
705 The causal framework draws upon the
exacerbations of chronic obstructive
assessment and integration of evidence from across
pulmonary disease (COPD) and asthma,
scientific disciplines, spanning atmospheric
chemistry, exposure, dosimetry and health effects
studies (i.e., epidemiologic, controlled human
exposure, and animal toxicological studies), and
assess the related uncertainties and limitations that
ultimately influence our understanding of the
evidence. This framework employs a five-level
hierarchy that classifies the overall weight-ofevidence with respect to the causal nature of
relationships between criteria pollutant exposures
and health and welfare effects using the following
categorizations: causal relationship; likely to be
causal relationship; suggestive of, but not sufficient
to infer, a causal relationship; inadequate to infer
the presence or absence of a causal relationship;
and not likely to be a causal relationship (U.S. EPA.
(2019). Integrated Science Assessment for
Particulate Matter (Final Report). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, Section P. 3.2.3).
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706 U.S. EPA. Policy Assessment (PA) for the
Reconsideration of the National Ambient Air
Quality Standards for Particulate Matter (Final
Report, 2022). U.S. Environmental Protection
Agency, Washington, DC, EPA–452/R–22–004,
2022.
707 U.S. EPA. (2009). Integrated Science
Assessment for Particulate Matter (Final Report).
U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–08/139F.
708 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
709 U.S. EPA. Supplement to the 2019 Integrated
Science Assessment for Particulate Matter (Final
Report, 2022). U.S. Environmental Protection
Agency, Washington, DC, EPA/635/R–22/028, 2022.
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provide biological plausibility for causespecific mortality and ultimately total
mortality. Recent epidemiologic studies
evaluated in the Supplement, including
studies that employed alternative
methods for confounder control,
provide additional support to the
evidence base that contributed to the
2019 PM ISA conclusion for short-term
PM2.5 exposure and mortality.
The 2019 PM ISA concluded a
‘‘causal relationship’’ between long-term
PM2.5 exposure and mortality. In
addition to reanalyses and extensions of
the American Cancer Society (ACS) and
Harvard Six Cities (HSC) cohorts,
multiple new cohort studies conducted
in the United States and Canada
consisting of people employed in a
specific job (e.g., teacher, nurse), and
that apply different exposure
assignment techniques, provide
evidence of positive associations
between long-term PM2.5 exposure and
mortality. Biological plausibility for
mortality due to long-term PM2.5
exposure is provided by the coherence
of effects across scientific disciplines for
cardiovascular morbidity, particularly
for coronary heart disease, stroke, and
atherosclerosis, and for respiratory
morbidity, particularly for the
development of COPD. Additionally,
recent studies provide evidence
indicating that as long-term PM2.5
concentrations decrease there is an
increase in life expectancy. Recent
cohort studies evaluated in the
Supplement, as well as epidemiologic
studies that conducted accountability
analyses or employed alternative
methods for confounder controls,
support and extend the evidence base
that contributed to the 2019 PM ISA
conclusion for long-term PM2.5 exposure
and mortality.
A large body of studies examining
both short- and long-term PM2.5
exposure and cardiovascular effects
builds on the evidence base evaluated in
the 2009 PM ISA. The strongest
evidence for cardiovascular effects in
response to short-term PM2.5 exposures
is for ischemic heart disease and heart
failure. The evidence for short-term
PM2.5 exposure and cardiovascular
effects is coherent across scientific
disciplines and supports a continuum of
effects ranging from subtle changes in
indicators of cardiovascular health to
serious clinical events, such as
increased emergency department visits
and hospital admissions due to
cardiovascular disease and
cardiovascular mortality. For long-term
PM2.5 exposure, there is strong and
consistent epidemiologic evidence of a
relationship with cardiovascular
mortality. This evidence is supported by
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epidemiologic and animal toxicological
studies demonstrating a range of
cardiovascular effects including
coronary heart disease, stroke, impaired
heart function, and subclinical markers
(e.g., coronary artery calcification,
atherosclerotic plaque progression),
which collectively provide coherence
and biological plausibility. Recent
epidemiologic studies evaluated in the
Supplement, as well as studies that
conducted accountability analyses or
employed alternative methods for
confounder control, support and extend
the evidence base that contributed to the
2019 PM ISA conclusion for both shortand long-term PM2.5 exposure and
cardiovascular effects.
Studies evaluated in the 2019 PM ISA
continue to provide evidence of a
‘‘likely to be causal relationship’’
between both short- and long-term PM2.5
exposure and respiratory effects.
Epidemiologic studies provide
consistent evidence of a relationship
between short-term PM2.5 exposure and
asthma exacerbation in children and
COPD exacerbation in adults as
indicated by increases in emergency
department visits and hospital
admissions, which is supported by
animal toxicological studies indicating
worsening allergic airways disease and
subclinical effects related to COPD.
Epidemiologic studies also provide
evidence of a relationship between
short-term PM2.5 exposure and
respiratory mortality. However, there is
inconsistent evidence of respiratory
effects, specifically lung function
declines and pulmonary inflammation,
in controlled human exposure studies.
With respect to long term PM2.5
exposure, epidemiologic studies
conducted in the United States and
abroad provide evidence of a
relationship with respiratory effects,
including consistent changes in lung
function and lung function growth rate,
increased asthma incidence, asthma
prevalence, and wheeze in children;
acceleration of lung function decline in
adults; and respiratory mortality. The
epidemiologic evidence is supported by
animal toxicological studies, which
provide coherence and biological
plausibility for a range of effects
including impaired lung development,
decrements in lung function growth,
and asthma development.
Since the 2009 PM ISA, a growing
body of scientific evidence examined
the relationship between long-term
PM2.5 exposure and nervous system
effects, resulting for the first time in a
causality determination for this health
effects category of a ‘‘likely to be causal
relationship.’’ The strongest evidence
for effects on the nervous system comes
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from epidemiologic studies that
consistently report cognitive decrements
and reductions in brain volume in
adults. The effects observed in
epidemiologic studies in adults are
supported by animal toxicological
studies demonstrating effects on the
brain of adult animals including
inflammation, morphologic changes,
and neurodegeneration of specific
regions of the brain. There is more
limited evidence for
neurodevelopmental effects in children,
with some studies reporting positive
associations with autism spectrum
disorder and others providing limited
evidence of an association with
cognitive function. While there is some
evidence from animal toxicological
studies indicating effects on the brain
(i.e., inflammatory and morphological
changes) to support a biologically
plausible pathway for
neurodevelopmental effects,
epidemiologic studies are limited due to
their lack of control for potential
confounding by copollutants, the small
number of studies conducted, and
uncertainty regarding critical exposure
windows.
Building off the decades of research
demonstrating mutagenicity, DNA
damage, and other endpoints related to
genotoxicity due to whole PM
exposures, recent experimental and
epidemiologic studies focusing
specifically on PM2.5 provide evidence
of a relationship between long-term
PM2.5 exposure and cancer.
Epidemiologic studies examining longterm PM2.5 exposure and lung cancer
incidence and mortality provide
evidence of generally positive
associations in cohort studies spanning
different populations, locations, and
exposure assignment techniques.
Additionally, there is evidence of
positive associations with lung cancer
incidence and mortality in analyses
limited to never smokers. The
epidemiologic evidence is supported by
both experimental and epidemiologic
evidence of genotoxicity, epigenetic
effects, carcinogenic potential, and that
PM2.5 exhibits several characteristics of
carcinogens, which collectively
provides biological plausibility for
cancer development and resulted in the
conclusion of a ‘‘likely to be causal
relationship.’’
For the additional health effects
categories evaluated for PM2.5 in the
2019 PM ISA, experimental and
epidemiologic studies provide limited
and/or inconsistent evidence of a
relationship with PM2.5 exposure. As a
result, the 2019 PM ISA concluded that
the evidence is ‘‘suggestive of, but not
sufficient to infer a causal relationship’’
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for short-term PM2.5 exposure and
metabolic effects and nervous system
effects and for long-term PM2.5
exposures and metabolic effects as well
as reproductive and developmental
effects.
In addition to evaluating the health
effects attributed to short- and long-term
exposure to PM2.5, the 2019 PM ISA also
conducted an extensive evaluation as to
whether specific components or sources
of PM2.5 are more strongly related with
health effects than PM2.5 mass. An
evaluation of those studies resulted in
the 2019 PM ISA concluding that ‘‘many
PM2.5 components and sources are
associated with many health effects, and
the evidence does not indicate that any
one source or component is consistently
more strongly related to health effects
than PM2.5 mass.’’ 710
For both PM10-2.5 and UFPs, for all
health effects categories evaluated, the
2019 PM ISA concluded that the
evidence was ‘‘suggestive of, but not
sufficient to infer, a causal relationship’’
or ‘‘inadequate to determine the
presence or absence of a causal
relationship.’’ For PM10-2.5, although a
Federal Reference Method (FRM) was
instituted in 2011 to measure PM10-2.5
concentrations nationally, the causality
determinations reflect that the same
uncertainty identified in the 2009 PM
ISA with respect to the method used to
estimate PM10-2.5 concentrations in
epidemiologic studies persists.
Specifically, across epidemiologic
studies, different approaches are used to
estimate PM10-2.5 concentrations (e.g.,
direct measurement of PM10-2.5,
difference between PM10 and PM2.5
concentrations), and it remains unclear
how well correlated PM10-2.5
concentrations are both spatially and
temporally across the different methods
used.
For UFPs, which have often been
defined as particles less than 0.1 mm, the
uncertainty in the evidence for the
health effect categories evaluated across
experimental and epidemiologic studies
reflects the inconsistency in the
exposure metric used (i.e., particle
number concentration, surface area
concentration, mass concentration) as
well as the size fractions examined. In
epidemiologic studies the size fraction
examined can vary depending on the
monitor used and exposure metric, with
some studies examining number count
over the entire particle size range, while
experimental studies that use a particle
concentrator often examine particles up
710 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
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to 0.3 mm. Additionally, due to the lack
of a monitoring network, there is limited
information on the spatial and temporal
variability of UFPs within the United
States, as well as population exposures
to UFPs, which adds uncertainty to
epidemiologic study results.
The 2019 PM ISA cites extensive
evidence indicating that ‘‘both the
general population as well as specific
populations and life stages are at risk for
PM2.5-related health effects.’’ 711 For
example, in support of its ‘‘causal’’ and
‘‘likely to be causal’’ determinations, the
ISA cites substantial evidence for (1)
PM-related mortality and cardiovascular
effects in older adults; (2) PM-related
cardiovascular effects in people with
pre-existing cardiovascular disease; (3)
PM-related respiratory effects in people
with pre-existing respiratory disease,
particularly asthma exacerbations in
children; and (4) PM-related
impairments in lung function growth
and asthma development in children.
The ISA additionally notes that
stratified analyses (i.e., analyses that
directly compare PM-related health
effects across groups) provide strong
evidence for racial and ethnic
differences in PM2.5 exposures and in
the risk of PM2.5-related health effects,
specifically within Hispanic and nonHispanic Black populations, with some
evidence of increased risk for
populations of low socioeconomic
status. Recent studies evaluated in the
Supplement support the conclusion of
the 2019 PM ISA with respect to
disparities in both PM2.5 exposure and
health risk by race and ethnicity and
provide additional support for
disparities for populations of lower
socioeconomic status.712 Additionally,
evidence spanning epidemiologic
studies that conducted stratified
analyses, experimental studies focusing
on animal models of disease or
individuals with pre-existing disease,
dosimetry studies, as well as studies
focusing on differential exposure
suggest that populations with preexisting cardiovascular or respiratory
disease, populations that are overweight
or obese, populations that have
particular genetic variants, and current/
former smokers could be at increased
risk for adverse PM2.5-related health
effects. The 2022 Policy Assessment for
the review of the PM NAAQS also
highlights that factors that may
711 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
712 U.S. EPA. Supplement to the 2019 Integrated
Science Assessment for Particulate Matter (Final
Report, 2022). U.S. Environmental Protection
Agency, Washington, DC, EPA/635/R–22/028, 2022.
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contribute to increased risk of PM2.5related health effects include lifestage
(children and older adults), pre-existing
diseases (cardiovascular disease and
respiratory disease), race/ethnicity, and
socioeconomic status.713
ii. Ozone
This section provides a summary of
the health effects associated with
exposure to ambient concentrations of
ozone.714 The information in this
section is based on the information and
conclusions in the April 2020 Integrated
Science Assessment for Ozone (Ozone
ISA).715 The Ozone ISA concludes that
human exposures to ambient
concentrations of ozone are associated
with a number of adverse health effects
and characterizes the weight of evidence
for these health effects.716 The
discussion in this Section VI.B.2.ii
highlights the Ozone ISA’s conclusions
pertaining to health effects associated
with both short-term and long-term
periods of exposure to ozone.
For short-term exposure to ozone, the
Ozone ISA concludes that respiratory
effects, including lung function
decrements, pulmonary inflammation,
exacerbation of asthma, respiratoryrelated hospital admissions, and
mortality, are causally associated with
ozone exposure. It also concludes that
metabolic effects, including metabolic
syndrome (i.e., changes in insulin or
glucose levels, cholesterol levels,
obesity and blood pressure) and
complications due to diabetes are likely
to be causally associated with shortterm exposure to ozone and that
evidence is suggestive of a causal
relationship between cardiovascular
effects, central nervous system effects
713 U.S. EPA. Policy Assessment (PA) for the
Reconsideration of the National Ambient Air
Quality Standards for Particulate Matter (Final
Report, 2022). U.S. Environmental Protection
Agency, Washington, DC, EPA–452/R–22–004,
2022, p. 3–53.
714 Human exposure to ozone varies over time
due to changes in ambient ozone concentration and
because people move between locations which have
notably different ozone concentrations. Also, the
amount of ozone delivered to the lung is influenced
not only by the ambient concentrations but also by
the breathing route and rate.
715 U.S. EPA. Integrated Science Assessment (ISA)
for Ozone and Related Photochemical Oxidants
(Final Report). U.S. Environmental Protection
Agency, Washington, DC, EPA/600/R–20/012, 2020.
716 The ISA evaluates evidence and draws
conclusions on the causal relationship between
relevant pollutant exposures and health effects,
assigning one of five ‘‘weight of evidence’’
determinations: causal relationship, likely to be a
causal relationship, suggestive of a causal
relationship, inadequate to infer a causal
relationship, and not likely to be a causal
relationship. For more information on these levels
of evidence, please refer to Table II in the Preamble
of the ISA.
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and total mortality and short-term
exposure to ozone.
For long-term exposure to ozone, the
Ozone ISA concludes that respiratory
effects, including new onset asthma,
pulmonary inflammation and injury, are
likely to be causally related with ozone
exposure. The Ozone ISA characterizes
the evidence as suggestive of a causal
relationship for associations between
long-term ozone exposure and
cardiovascular effects, metabolic effects,
reproductive and developmental effects,
central nervous system effects and total
mortality. The evidence is inadequate to
infer a causal relationship between
chronic ozone exposure and increased
risk of cancer.
Finally, interindividual variation in
human responses to ozone exposure can
result in some groups being at increased
risk for detrimental effects in response
to exposure. In addition, some groups
are at increased risk of exposure due to
their activities, such as outdoor workers
and children. The Ozone ISA identified
several groups that are at increased risk
for ozone-related health effects. These
groups are people with asthma, children
and older adults, individuals with
reduced intake of certain nutrients (i.e.,
Vitamins C and E), outdoor workers,
and individuals having certain genetic
variants related to oxidative metabolism
or inflammation. Ozone exposure
during childhood can have lasting
effects through adulthood. Such effects
include altered function of the
respiratory and immune systems.
Children absorb higher doses
(normalized to lung surface area) of
ambient ozone, compared to adults, due
to their increased time spent outdoors,
higher ventilation rates relative to body
size, and a tendency to breathe a greater
fraction of air through the mouth.
Children also have a higher asthma
prevalence compared to adults. Recent
epidemiologic studies provide generally
consistent evidence that long-term
ozone exposure is associated with the
development of asthma in children.
Studies comparing age groups reported
higher magnitude associations for shortterm ozone exposure and respiratory
hospital admissions and emergency
room visits among children than among
adults. Panel studies also provide
support for experimental studies with
consistent associations between shortterm ozone exposure and lung function
and pulmonary inflammation in healthy
children. Additional children’s
vulnerability and susceptibility factors
are listed in Section XI.G of the
Preamble.
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iii. Nitrogen Oxides
The most recent review of the health
effects of oxides of nitrogen completed
by EPA can be found in the 2016
Integrated Science Assessment for
Oxides of Nitrogen—Health Criteria
(Oxides of Nitrogen ISA).717 The
primary source of NO2 is motor vehicle
emissions, and ambient NO2
concentrations tend to be highly
correlated with other traffic-related
pollutants. Thus, a key issue in
characterizing the causality of NO2health effect relationships consists of
evaluating the extent to which studies
supported an effect of NO2 that is
independent of other traffic-related
pollutants. EPA concluded that the
findings for asthma exacerbation
integrated from epidemiologic and
controlled human exposure studies
provided evidence that is sufficient to
infer a causal relationship between
respiratory effects and short-term NO2
exposure. The strongest evidence
supporting an independent effect of NO2
exposure comes from controlled human
exposure studies demonstrating
increased airway responsiveness in
individuals with asthma following
ambient-relevant NO2 exposures. The
coherence of this evidence with
epidemiologic findings for asthma
hospital admissions and ED visits as
well as lung function decrements and
increased pulmonary inflammation in
children with asthma describe a
plausible pathway by which NO2
exposure can cause an asthma
exacerbation. The 2016 ISA for Oxides
of Nitrogen also concluded that there is
likely to be a causal relationship
between long-term NO2 exposure and
respiratory effects. This conclusion is
based on new epidemiologic evidence
for associations of NO2 with asthma
development in children combined with
biological plausibility from
experimental studies.
In evaluating a broader range of health
effects, the 2016 ISA for Oxides of
Nitrogen concluded that evidence is
‘‘suggestive of, but not sufficient to
infer, a causal relationship’’ between
short-term NO2 exposure and
cardiovascular effects and mortality and
between long-term NO2 exposure and
cardiovascular effects and diabetes,
birth outcomes, and cancer. In addition,
the scientific evidence is inadequate
(insufficient consistency of
epidemiologic and toxicological
evidence) to infer a causal relationship
for long-term NO2 exposure with
This section provides an overview of
the health effects associated with SO2.
Additional information on the health
effects of SO2 can be found in the 2017
Integrated Science Assessment for
Sulfur Oxides—Health Criteria (SOX
ISA).718 Following an extensive
evaluation of health evidence from
animal toxicological, controlled human
exposure, and epidemiologic studies,
the EPA has concluded that there is a
causal relationship between respiratory
health effects and short-term exposure
to SO2. The immediate effect of SO2 on
the respiratory system in humans is
bronchoconstriction. People with
asthma are more sensitive to the effects
of SO2, likely resulting from preexisting
inflammation associated with this
disease. In addition to those with
asthma (both children and adults), there
is suggestive evidence that all children
and older adults may be at increased
risk of SO2-related health effects. In freebreathing laboratory studies involving
controlled human exposures to SO2,
respiratory effects have consistently
been observed following 5–10 min
exposures at SO2 concentrations ≥400
ppb in people with asthma engaged in
moderate to heavy levels of exercise,
with respiratory effects occurring at
concentrations as low as 200 ppb in
some individuals with asthma. A clear
concentration-response relationship has
been demonstrated in these studies
following exposures to SO2 at
concentrations between 200 and 1000
717 U.S. EPA. Integrated Science Assessment for
Oxides of Nitrogen—Health Criteria (2016 Final
Report). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–15/068, 2016.
718 U.S. EPA. Integrated Science Assessment (ISA)
for Sulfur Oxides—Health Criteria (Final Report,
Dec 2017). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–17/451, 2017.
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fertility, reproduction, and pregnancy,
as well as with postnatal development.
A key uncertainty in understanding the
relationship between these nonrespiratory health effects and short- or
long-term exposure to NO2 is copollutant confounding, particularly by
other roadway pollutants. The available
evidence for non-respiratory health
effects does not adequately address
whether NO2 has an independent effect
or whether it primarily represents
effects related to other or a mixture of
traffic-related pollutants.
The 2016 ISA for Oxides of Nitrogen
concluded that people with asthma,
children, and older adults are at
increased risk for NO2-related health
effects. In these groups and lifestages,
NO2 is consistently related to larger
effects on outcomes related to asthma
exacerbation, for which there is
confidence in the relationship with NO2
exposure.
iv. Sulfur Oxides
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ppb, both in terms of increasing severity
of respiratory symptoms and
decrements in lung function, as well as
the percentage of individuals with
asthma adversely affected.
Epidemiologic studies have reported
positive associations between short-term
ambient SO2 concentrations and
hospital admissions and emergency
department visits for asthma and for all
respiratory causes, particularly among
children and older adults (≥65 years).
The studies provide supportive
evidence for the causal relationship.
For long-term SO2 exposure and
respiratory effects, the EPA has
concluded that the evidence is
suggestive of a causal relationship. This
conclusion is based on new
epidemiologic evidence for positive
associations between long-term SO2
exposure and increases in asthma
incidence among children, together with
animal toxicological evidence that
provides a pathophysiologic basis for
the development of asthma. However,
uncertainty remains regarding the
influence of other pollutants on the
observed associations with SO2 because
these epidemiologic studies have not
examined the potential for co-pollutant
confounding.
Consistent associations between
short-term exposure to SO2 and
mortality have been observed in
epidemiologic studies, with larger effect
estimates reported for respiratory
mortality than for cardiovascular
mortality. While this finding is
consistent with the demonstrated effects
of SO2 on respiratory morbidity,
uncertainty remains with respect to the
interpretation of these observed
mortality associations due to potential
confounding by various copollutants.
Therefore, the EPA has concluded that
the overall evidence is suggestive of a
causal relationship between short-term
exposure to SO2 and mortality.
v. Carbon Monoxide
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Information on the health effects of
carbon monoxide (CO) can be found in
the January 2010 Integrated Science
Assessment for Carbon Monoxide (CO
ISA).719 The CO ISA presents
conclusions regarding the presence of
causal relationships between CO
exposure and categories of adverse
health effects.720 This section provides
719 U.S. EPA, (2010). Integrated Science
Assessment for Carbon Monoxide (Final Report).
U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–09/019F, 2010.
720 The ISA evaluates the health evidence
associated with different health effects, assigning
one of five ‘‘weight of evidence’’ determinations:
causal relationship, likely to be a causal
relationship, suggestive of a causal relationship,
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a summary of the health effects
associated with exposure to ambient
concentrations of CO, along with the CO
ISA conclusions.721
Controlled human exposure studies of
subjects with coronary artery disease
show a decrease in the time to onset of
exercise-induced angina (chest pain)
and electrocardiogram changes
following CO exposure. In addition,
epidemiologic studies observed
associations between short-term CO
exposure and cardiovascular morbidity,
particularly increased emergency room
visits and hospital admissions for
coronary heart disease (including
ischemic heart disease, myocardial
infarction, and angina). Some
epidemiologic evidence is also available
for increased hospital admissions and
emergency room visits for congestive
heart failure and cardiovascular disease
as a whole. The CO ISA concludes that
a causal relationship is likely to exist
between short-term exposures to CO and
cardiovascular morbidity. It also
concludes that available data are
inadequate to conclude that a causal
relationship exists between long-term
exposures to CO and cardiovascular
morbidity.
Animal studies show various
neurological effects with in-utero CO
exposure. Controlled human exposure
studies report central nervous system
and behavioral effects following lowlevel CO exposures, although the
findings have not been consistent across
all studies. The CO ISA concludes that
the evidence is suggestive of a causal
relationship with both short- and longterm exposure to CO and central
nervous system effects.
A number of studies cited in the CO
ISA have evaluated the role of CO
exposure in birth outcomes such as
preterm birth or cardiac birth defects.
There is limited epidemiologic evidence
of a CO-induced effect on preterm births
and birth defects, with weak evidence
for a decrease in birth weight. Animal
toxicological studies have found
perinatal CO exposure to affect birth
weight, as well as other developmental
outcomes. The CO ISA concludes that
the evidence is suggestive of a causal
relationship between long-term
exposures to CO and developmental
effects and birth outcomes.
inadequate to infer a causal relationship, and not
likely to be a causal relationship. For definitions of
these levels of evidence, please refer to Section 1.6
of the ISA.
721 Personal exposure includes contributions from
many sources, and in many different environments.
Total personal exposure to CO includes both
ambient and non-ambient components; and both
components may contribute to adverse health
effects.
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Epidemiologic studies provide
evidence of associations between shortterm CO concentrations and respiratory
morbidity such as changes in
pulmonary function, respiratory
symptoms, and hospital admissions. A
limited number of epidemiologic
studies considered copollutants such as
ozone, SO2, and PM in two-pollutant
models and found that CO risk estimates
were generally robust, although this
limited evidence makes it difficult to
disentangle effects attributed to CO
itself from those of the larger complex
air pollution mixture. Controlled human
exposure studies have not extensively
evaluated the effect of CO on respiratory
morbidity. Animal studies at levels of
50–100 ppm CO show preliminary
evidence of altered pulmonary vascular
remodeling and oxidative injury. The
CO ISA concludes that the evidence is
suggestive of a causal relationship
between short-term CO exposure and
respiratory morbidity, and inadequate to
conclude that a causal relationship
exists between long-term exposure and
respiratory morbidity.
Finally, the CO ISA concludes that
the epidemiologic evidence is
suggestive of a causal relationship
between short-term concentrations of
CO and mortality. Epidemiologic
evidence suggests an association exists
between short-term exposure to CO and
mortality, but limited evidence is
available to evaluate cause-specific
mortality outcomes associated with CO
exposure. In addition, the attenuation of
CO risk estimates which was often
observed in co-pollutant models
contributes to the uncertainty as to
whether CO is acting alone or as an
indicator for other combustion-related
pollutants. The CO ISA also concludes
that there is not likely to be a causal
relationship between relevant long-term
exposures to CO and mortality.
vi. Diesel Exhaust
In EPA’s 2002 Diesel Health
Assessment Document (Diesel HAD),
exposure to diesel exhaust was
classified as likely to be carcinogenic to
humans by inhalation from
environmental exposures, in accordance
with the revised draft 1996/1999 EPA
cancer guidelines.722 723 A number of
722 U.S. EPA. (1999). Guidelines for Carcinogen
Risk Assessment. Review Draft. NCEA–F–0644,
July. Washington, DC: U.S. EPA. Retrieved on
March 19, 2009 from https://cfpub.epa.gov/ncea/
cfm/recordisplay.cfm?deid=54932.
723 U.S. EPA (2002). Health Assessment
Document for Diesel Engine Exhaust. EPA/600/8–
90/057F Office of research and Development,
Washington DC. Retrieved on March 17, 2009 from
https://cfpub.epa.gov/ncea/cfm/recordisplay.
cfm?deid=29060. pp. 1–1 1–2.
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other agencies (National Institute for
Occupational Safety and Health, the
International Agency for Research on
Cancer, the World Health Organization,
California EPA, and the U.S.
Department of Health and Human
Services) made similar hazard
classifications prior to 2002. EPA also
concluded in the 2002 Diesel HAD that
it was not possible to calculate a cancer
unit risk for diesel exhaust due to
limitations in the exposure data for the
occupational groups or the absence of a
dose-response relationship.
In the absence of a cancer unit risk,
the Diesel HAD sought to provide
additional insight into the significance
of the diesel exhaust cancer hazard by
estimating possible ranges of risk that
might be present in the population. An
exploratory analysis was used to
characterize a range of possible lung
cancer risk. The outcome was that
environmental risks of cancer from longterm diesel exhaust exposures could
plausibly range from as low as 10¥5 to
as high as 10¥3. Because of
uncertainties, the analysis
acknowledged that the risks could be
lower than 10¥5, and a zero risk from
diesel exhaust exposure could not be
ruled out.
Noncancer health effects of acute and
chronic exposure to diesel exhaust
emissions are also of concern to EPA.
EPA derived a diesel exhaust reference
concentration (RfC) from consideration
of four well-conducted chronic rat
inhalation studies showing adverse
pulmonary effects. The RfC is 5 mg/m3
for diesel exhaust measured as diesel
particulate matter. This RfC does not
consider allergenic effects such as those
associated with asthma or immunologic
or the potential for cardiac effects. There
was emerging evidence in 2002,
discussed in the Diesel HAD, that
exposure to diesel exhaust can
exacerbate these effects, but the
exposure-response data were lacking at
that time to derive an RfC based on
these then-emerging considerations. The
Diesel HAD states, ‘‘With [diesel
particulate matter] being a ubiquitous
component of ambient PM, there is an
uncertainty about the adequacy of the
existing [diesel exhaust] noncancer
database to identify all of the pertinent
[diesel exhaust]-caused noncancer
health hazards.’’ The Diesel HAD also
notes ‘‘that acute exposure to [diesel
exhaust] has been associated with
irritation of the eye, nose, and throat,
respiratory symptoms (cough and
phlegm), and neurophysiological
symptoms such as headache,
lightheadedness, nausea, vomiting, and
numbness or tingling of the
extremities.’’ The Diesel HAD notes that
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the cancer and noncancer hazard
conclusions applied to the general use
of diesel engines then on the market and
as cleaner engines replace a substantial
number of existing ones, the
applicability of the conclusions would
need to be reevaluated.
It is important to note that the Diesel
HAD also briefly summarizes health
effects associated with ambient PM and
discusses EPA’s then-annual PM2.5
NAAQS of 15 mg/m3.724 There is a large
and extensive body of human data
showing a wide spectrum of adverse
health effects associated with exposure
to ambient PM, of which diesel exhaust
is an important component. The PM2.5
NAAQS is designed to provide
protection from the noncancer health
effects and premature mortality
attributed to exposure to PM2.5. The
contribution of diesel PM to total
ambient PM varies in different regions
of the country and, also, within a region,
from one area to another. The
contribution can be high in nearroadway environments, for example, or
in other locations where diesel engine
use is concentrated.
Since 2002, several new studies have
been published which continue to
report increased lung cancer risk
associated with occupational exposure
to diesel exhaust from older engines. Of
particular note since 2011 are three new
epidemiology studies that have
examined lung cancer in occupational
populations, including truck drivers,
underground nonmetal miners, and
other diesel motor-related occupations.
These studies reported increased risk of
lung cancer related to exposure to diesel
exhaust, with evidence of positive
exposure-response relationships to
varying degrees.725 726 727 These newer
studies (along with others that have
appeared in the scientific literature) add
to the evidence EPA evaluated in the
2002 Diesel HAD and further reinforce
the concern that diesel exhaust
exposure likely poses a lung cancer
hazard. The findings from these newer
724 See Section VI.B.i for discussion of the current
PM2.5 NAAQS standard, and https://www.epa.gov/
pm-pollution/national-ambient-air-qualitystandards-naaqs-pm.
725 Garshick, Eric, Francine Laden, Jaime E. Hart,
Mary E. Davis, Ellen A. Eisen, and Thomas J. Smith.
2012. Lung cancer and elemental carbon exposure
in trucking industry workers. Environmental Health
Perspectives 120(9): 1301–1306.
726 Silverman, D.T., Samanic, C.M., Lubin, J.H.,
Blair, A.E., Stewart, P.A., Vermeulen, R., & Attfield,
M.D. (2012). The diesel exhaust in miners study: a
nested case–control study of lung cancer and diesel
exhaust. Journal of the National Cancer Institute.
727 Olsson, Ann C., et al. ‘‘Exposure to diesel
motor exhaust and lung cancer risk in a pooled
analysis from case-control studies in Europe and
Canada.’’ American journal of respiratory and
critical care medicine 183.7 (2011): 941–948.
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studies do not necessarily apply to
newer technology diesel engines (i.e.,
heavy-duty highway engines from 2007
and later model years) since the newer
engines have large reductions in the
emission constituents compared to older
technology diesel engines.
In light of the growing body of
scientific literature evaluating the health
effects of exposure to diesel exhaust, in
June 2012 the World Health
Organization’s International Agency for
Research on Cancer (IARC), a
recognized international authority on
the carcinogenic potential of chemicals
and other agents, evaluated the full
range of cancer-related health effects
data for diesel engine exhaust. IARC
concluded that diesel exhaust should be
regarded as ‘‘carcinogenic to
humans.’’ 728 This designation was an
update from its 1988 evaluation that
considered the evidence to be indicative
of a ‘‘probable human carcinogen.’’
vii. Air Toxics
Heavy-duty engine emissions
contribute to ambient levels of air toxics
that are known or suspected human or
animal carcinogens or that have
noncancer health effects. These
compounds include, but are not limited
to, acetaldehyde, acrolein, benzene, 1,3butadiene, ethylbenzene, formaldehyde,
and naphthalene, which were all
identified as national or regional health
effects drivers or contributors in the
2018 AirToxScreen Assessment.729 730
a. Acetaldehyde
Acetaldehyde is classified in EPA’s
IRIS database as a probable human
carcinogen, based on nasal tumors in
rats, and is considered toxic by the
inhalation, oral, and intravenous
routes.731 The inhalation unit risk
estimate (URE) in IRIS for acetaldehyde
is 2.2 × 10–6 per mg/m3.732
728 IARC [International Agency for Research on
Cancer]. (2013). Diesel and gasoline engine exhausts
and some nitroarenes. IARC Monographs Volume
105. Online at https://monographs.iarc.fr/ENG/
Monographs/vol105/index.php.
729 U.S. EPA (2022) Technical Support Document
EPA Air Toxics Screening Assessment.
2017AirToxScreen TSD. https://www.epa.gov/
system/files/documents/2022-03/airtoxscreen_
2017tsd.pdf.
730 U.S. EPA (2022) 2018 AirToxScreen Risk
Drivers. https://www.epa.gov/AirToxScreen/
airtoxscreen-risk-drivers.
731 U.S. EPA (1991). Integrated Risk Information
System File of Acetaldehyde. Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=290.
732 U.S. EPA (1991). Integrated Risk Information
System File of Acetaldehyde. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=290.
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Acetaldehyde is reasonably anticipated
to be a human carcinogen by the NTP
in the 14th Report on Carcinogens and
is classified as possibly carcinogenic to
humans (Group 2B) by the IARC.733 734
The primary noncancer effects of
exposure to acetaldehyde vapors
include irritation of the eyes, skin, and
respiratory tract.735 In short-term (4
week) rat studies, degeneration of
olfactory epithelium was observed at
various concentration levels of
acetaldehyde exposure.736 737 Data from
these studies were used by EPA to
develop an inhalation reference
concentration of 9 mg/m3. Some
asthmatics have been shown to be a
sensitive subpopulation to decrements
in functional expiratory volume (FEV1
test) and bronchoconstriction upon
acetaldehyde inhalation.738 Children,
especially those with diagnosed asthma,
may be more likely to show impaired
pulmonary function and symptoms of
asthma than are adults following
exposure to acetaldehyde.739
b. Acrolein
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EPA most recently evaluated the
toxicological and health effects
literature related to acrolein in 2003 and
concluded that the human carcinogenic
potential of acrolein could not be
determined because the available data
were inadequate. No information was
available on the carcinogenic effects of
acrolein in humans, and the animal data
733 NTP (National Toxicology Program). 2016.
Report on Carcinogens, Fourteenth Edition.;
Research Triangle Park, NC: U.S. Department of
Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
734 International Agency for Research on Cancer
(IARC). (1999). Re-evaluation of some organic
chemicals, hydrazine, and hydrogen peroxide. IARC
Monographs on the Evaluation of Carcinogenic Risk
of Chemical to Humans, Vol 71. Lyon, France.
735 U.S. EPA (1991). Integrated Risk Information
System File of Acetaldehyde. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=290.
736 U.S. EPA. (2003). Integrated Risk Information
System File of Acrolein. Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=364.
737 Appleman, L.M., R.A. Woutersen, and V.J.
Feron. (1982). Inhalation toxicity of acetaldehyde in
rats. I. Acute and subacute studies. Toxicology. 23:
293–297.
738 Myou, S.; Fujimura, M.; Nishi K.; Ohka, T.;
and Matsuda, T. (1993). Aerosolized acetaldehyde
induces histamine-mediated bronchoconstriction in
asthmatics. Am. Rev. Respir.Dis.148(4 Pt 1): 940–
943.
739 California OEHHA, 2014. TSD for Noncancer
RELs: Appendix D. Individual, Acute, 8-Hour, and
Chronic Reference Exposure Level Summaries.
December 2008 (updated July 2014). https://
oehha.ca.gov/media/downloads/crnr/appendixd1
final.pdf.
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provided inadequate evidence of
carcinogenicity.740 In 2021, the IARC
classified acrolein as probably
carcinogenic to humans.741
Lesions to the lungs and upper
respiratory tract of rats, rabbits, and
hamsters have been observed after
subchronic exposure to acrolein.742 The
agency has developed an RfC for
acrolein of 0.02 mg/m3 and an RfD of 0.5
mg/kg-day.743
Acrolein is extremely acrid and
irritating to humans when inhaled, with
acute exposure resulting in upper
respiratory tract irritation, mucus
hypersecretion and congestion. The
intense irritancy of this carbonyl has
been demonstrated during controlled
tests in human subjects, who suffer
intolerable eye and nasal mucosal
sensory reactions within minutes of
exposure.744 These data and additional
studies regarding acute effects of human
exposure to acrolein are summarized in
EPA’s 2003 IRIS Human Health
Assessment for acrolein.745 Studies in
humans indicate that levels as low as
0.09 ppm (0.21 mg/m3) for five minutes
may elicit subjective complaints of eye
irritation with increasing concentrations
leading to more extensive eye, nose and
respiratory symptoms. Acute exposures
in animal studies report bronchial
hyper-responsiveness. Based on animal
data (more pronounced respiratory
irritancy in mice with allergic airway
disease in comparison to non-diseased
mice 746) and demonstration of similar
740 U.S. EPA. (2003). Integrated Risk Information
System File of Acrolein. Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available at https://iris.epa.gov/ChemicalLanding/
&substance_nmbr=364.
741 International Agency for Research on Cancer
(IARC). (2021). Monographs on the Identification of
Carcinogenic Hazards to humans, Volume 128.
Acrolein, Crotonaldehyde, and Arecoline, World
Health Organization, Lyon, France.
742 U.S. EPA. (2003). Integrated Risk Information
System File of Acrolein. Office of Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available at https://www.epa.gov/iris/subst/
0364.htm.
743 U.S. EPA. (2003). Integrated Risk Information
System File of Acrolein. Office of Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available at https://iris.epa.gov/ChemicalLanding/
&substance_nmbr=364.
744 U.S. EPA. (2003). Toxicological review of
acrolein in support of summary information on
Integrated Risk Information System (IRIS) National
Center for Environmental Assessment, Washington,
DC. EPA/635/R–03/003. p. 10. Available online at:
https://iris.epa.gov/static/pdfs/0364tr.pdf.
745 U.S. EPA. (2003). Toxicological review of
acrolein in support of summary information on
Integrated Risk Information System (IRIS) National
Center for Environmental Assessment, Washington,
DC. EPA/635/R–03/003. Available online at: https://
iris.epa.gov/static/pdfs/0364tr.pdf.
746 Morris JB, Symanowicz PT, Olsen JE, et al.
(2003). Immediate sensory nerve-mediated
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26055
effects in humans (e.g., reduction in
respiratory rate), individuals with
compromised respiratory function (e.g.,
emphysema, asthma) are expected to be
at increased risk of developing adverse
responses to strong respiratory irritants
such as acrolein. EPA does not currently
have an acute reference concentration
for acrolein. The available health effect
reference values for acrolein have been
summarized by EPA and include an
ATSDR MRL for acute exposure to
acrolein of 7 mg/m3 for 1–14 days
exposure and Reference Exposure Level
(REL) values from the California Office
of Environmental Health Hazard
Assessment (OEHHA) for one-hour and
8-hour exposures of 2.5 mg/m3 and 0.7
mg/m3, respectively.747
c. Benzene
EPA’s Integrated Risk Information
System (IRIS) database lists benzene as
a known human carcinogen (causing
leukemia) by all routes of exposure and
concludes that exposure is associated
with additional health effects, including
genetic changes in both humans and
animals and increased proliferation of
bone marrow cells in mice.748 749 750 EPA
states in its IRIS database that data
indicate a causal relationship between
benzene exposure and acute
lymphocytic leukemia and suggest a
relationship between benzene exposure
and chronic non-lymphocytic leukemia
and chronic lymphocytic leukemia.
EPA’s IRIS documentation for benzene
also lists a range of 2.2 × 10¥6 to 7.8 ×
10¥6 per mg/m3 as the unit risk estimate
(URE) for benzene.751 752 The
respiratory responses to irritants in healthy and
allergic airway-diseased mice. J Appl Physiol
94(4):1563–1571.
747 U.S. EPA. (2009). Graphical Arrays of
Chemical-Specific Health Effect Reference Values
for Inhalation Exposures (Final Report). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–09/061, 2009. https://cfpub.epa.gov/
ncea/cfm/recordisplay.cfm?deid=211003.
748 U.S. EPA. (2000). Integrated Risk Information
System File for Benzene. This material is available
electronically at: https://cfpub.epa.gov/ncea/iris2/
chemicalLanding.cfm?substance_nmbr=276.
749 International Agency for Research on Cancer.
(1982). IARC monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
29, Some industrial chemicals and dyestuffs,
International Agency for Research on Cancer, World
Health Organization, Lyon, France 1982.
750 Irons, R.D.; Stillman, W.S.; Colagiovanni, D.B.;
Henry, V.A. (1992). Synergistic action of the
benzene metabolite hydroquinone on myelopoietic
stimulating activity of granulocyte/macrophage
colony-stimulating factor in vitro, Proc. Natl. Acad.
Sci. 89:3691–3695.
751 A unit risk estimate is defined as the increase
in the lifetime risk of cancer of an individual who
is exposed for a lifetime to 1 mg/m3 benzene in air.
752 U.S. EPA. (2000). Integrated Risk Information
System File for Benzene. This material is available
electronically at: https://cfpub.epa.gov/ncea/iris2/
chemicalLanding.cfm?substance_nmbr=276.
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International Agency for Research on
Cancer (IARC) has determined that
benzene is a human carcinogen, and the
U.S. Department of Health and Human
Services (DHHS) has characterized
benzene as a known human
carcinogen.753 754
A number of adverse noncancer
health effects, including blood disorders
such as preleukemia and aplastic
anemia, have also been associated with
long-term exposure to benzene.755 756
The most sensitive noncancer effect
observed in humans, based on current
data, is the depression of the absolute
lymphocyte count in blood.757 758 EPA’s
inhalation reference concentration (RfC)
for benzene is 30 mg/m3. The RfC is
based on suppressed absolute
lymphocyte counts seen in humans
under occupational exposure
conditions. In addition, studies
sponsored by the Health Effects Institute
(HEI) provide evidence that biochemical
responses occur at lower levels of
benzene exposure than previously
known.759 760 761 762 EPA’s IRIS program
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753 International
Agency for Research on Cancer
(IARC, 2018. Monographs on the evaluation of
carcinogenic risks to humans, volume 120. World
Health Organization—Lyon, France. https://
publications.iarc.fr/Book-And-Report-Series/IarcMonographs-On-The-Identification-OfCarcinogenic-Hazards-To-Humans/Benzene-2018.
754 NTP (National Toxicology Program). 2016.
Report on Carcinogens, Fourteenth Edition.;
Research Triangle Park, NC: U.S. Department of
Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
755 Aksoy, M. (1989). Hematotoxicity and
carcinogenicity of benzene. Environ. Health
Perspect. 82: 193–197. EPA–HQ–OAR–2011–0135.
756 Goldstein, B.D. (1988). Benzene toxicity.
Occupational medicine. State of the Art Reviews. 3:
541–554.
757 Rothman, N., G.L. Li, M. Dosemeci, W.E.
Bechtold, G.E. Marti, Y.Z. Wang, M. Linet, L.Q. Xi,
W. Lu, M.T. Smith, N. Titenko-Holland, L.P. Zhang,
W. Blot, S.N. Yin, and R.B. Hayes. (1996).
Hematotoxicity among Chinese workers heavily
exposed to benzene. Am. J. Ind. Med. 29: 236–246.
758 U.S. EPA (2002). Toxicological Review of
Benzene (Noncancer Effects). Environmental
Protection Agency, Integrated Risk Information
System (IRIS), Research and Development, National
Center for Environmental Assessment, Washington
DC. This material is available electronically at
https://cfpub.epa.gov/ncea/iris/iris_documents/
documents/toxreviews/0276tr.pdf.
759 Qu, O.; Shore, R.; Li, G.; Jin, X.; Chen, C.L.;
Cohen, B.; Melikian, A.; Eastmond, D.; Rappaport,
S.; Li, H.; Rupa, D.; Suramaya, R.; Songnian, W.;
Huifant, Y.; Meng, M.; Winnik, M.; Kwok, E.; Li, Y.;
Mu, R.; Xu, B.; Zhang, X.; Li, K. (2003). HEI Report
115, Validation & Evaluation of Biomarkers in
Workers Exposed to Benzene in China.
760 Qu, Q., R. Shore, G. Li, X. Jin, L.C. Chen, B.
Cohen, et al. (2002). Hematological changes among
Chinese workers with a broad range of benzene
exposures. Am. J. Industr. Med. 42: 275–285.
761 Lan, Qing, Zhang, L., Li, G., Vermeulen, R., et
al. (2004). Hematotoxically in Workers Exposed to
Low Levels of Benzene. Science 306: 1774–1776.
762 Turtletaub, K.W. and Mani, C. (2003). Benzene
metabolism in rodents at doses relevant to human
exposure from Urban Air. Research Reports Health
Effect Inst. Report No.113.
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has not yet evaluated these new data.
EPA does not currently have an acute
reference concentration for benzene.
The Agency for Toxic Substances and
Disease Registry (ATSDR) Minimal Risk
Level (MRL) for acute inhalation
exposure to benzene is 29 mg/m3 for 1–
14 days exposure.763 764
There is limited information from two
studies regarding an increased risk of
adverse effects to children whose
parents have been occupationally
exposed to benzene.765 766 Data from
animal studies have shown benzene
exposures result in damage to the
hematopoietic (blood cell formation)
system during development.767 768 769
Also, key changes related to the
development of childhood leukemia
occur in the developing fetus.770 Several
studies have reported that genetic
changes related to eventual leukemia
development occur before birth. For
example, there is one study of genetic
changes in twins who developed T cell
leukemia at nine years of age.771
d. 1,3-Butadiene
EPA has characterized 1,3-butadiene
as carcinogenic to humans by
inhalation.772 773 The IARC has
763 U.S. Agency for Toxic Substances and Disease
Registry (ATSDR). (2007). Toxicological profile for
benzene. Atlanta, GA: U.S. Department of Health
and Human Services, Public Health Service. https://
www.atsdr.cdc.gov/ToxProfiles/tp3.pdf.
764 A minimal risk level (MRL) is defined as an
estimate of the daily human exposure to a
hazardous substance that is likely to be without
appreciable risk of adverse noncancer health effects
over a specified duration of exposure.
765 Corti, M; Snyder, CA. (1996) Influences of
gender, development, pregnancy and ethanol
consumption on the hematotoxicity of inhaled 10
ppm benzene. Arch Toxicol 70:209–217.
766 McKinney P.A.; Alexander, F.E.; Cartwright,
R.A.; et al. (1991) Parental occupations of children
with leukemia in west Cumbria, north Humberside,
and Gateshead. Br Med J 302:681–686.
767 Keller, KA; Snyder, CA. (1986) Mice exposed
in utero to low concentrations of benzene exhibit
enduring changes in their colony forming
hematopoietic cells. Toxicology 42:171–181.
768 Keller, KA; Snyder, CA. (1988) Mice exposed
in utero to 20 ppm benzene exhibit altered numbers
of recognizable hematopoietic cells up to seven
weeks after exposure. Fundam Appl Toxicol
10:224–232.
769 Corti, M; Snyder, CA. (1996) Influences of
gender, development, pregnancy and ethanol
consumption on the hematotoxicity of inhaled 10
ppm benzene. Arch Toxicol 70:209–217.
770 U.S. EPA. (2002). Toxicological Review of
Benzene (Noncancer Effects). National Center for
Environmental Assessment, Washington, DC.
Report No. EPA/635/R–02/001F. https://
cfpub.epa.gov/ncea/iris/iris_documents/
documents/toxreviews/0276tr.pdf.
771 Ford, AM; Pombo-de-Oliveira, MS; McCarthy,
KP; MacLean, JM; Carrico, KC; Vincent, RF;
Greaves, M. (1997) Monoclonal origin of concordant
T-cell malignancy in identical twins. Blood 89:281–
285.
772 U.S. EPA. (2002). Health Assessment of 1,3Butadiene. Office of Research and Development,
National Center for Environmental Assessment,
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determined that 1,3-butadiene is a
human carcinogen, and the U.S. DHHS
has characterized 1,3-butadiene as a
known human carcinogen.774 775 776 777
There are numerous studies consistently
demonstrating that 1,3-butadiene is
metabolized into genotoxic metabolites
by experimental animals and humans.
The specific mechanisms of 1,3butadiene-induced carcinogenesis are
unknown; however, the scientific
evidence strongly suggests that the
carcinogenic effects are mediated by
genotoxic metabolites. Animal data
suggest that females may be more
sensitive than males for cancer effects
associated with 1,3-butadiene exposure;
there are insufficient data in humans
from which to draw conclusions about
sensitive subpopulations. The URE for
1,3-butadiene is 3 × 10¥5 per mg/m3.778
1,3-butadiene also causes a variety of
reproductive and developmental effects
in mice; no human data on these effects
are available. The most sensitive effect
was ovarian atrophy observed in a
lifetime bioassay of female mice.779
Based on this critical effect and the
benchmark concentration methodology,
an RfC for chronic health effects was
Washington Office, Washington, DC. Report No.
EPA600–P–98–001F. This document is available
electronically at https://cfpub.epa.gov/ncea/iris_
drafts/recordisplay.cfm?deid=54499.
773 U.S. EPA. (2002) ‘‘Full IRIS Summary for 1,3butadiene (CASRN 106–99–0)’’ Environmental
Protection Agency, Integrated Risk Information
System (IRIS), Research and Development, National
Center for Environmental Assessment, Washington,
DC https://cfpub.epa.gov/ncea/iris2/
chemicalLanding.cfm?substance_nmbr=139.
774 International Agency for Research on Cancer
(IARC). (1999). Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
71, Re-evaluation of some organic chemicals,
hydrazine and hydrogen peroxide, World Health
Organization, Lyon, France.
775 International Agency for Research on Cancer
(IARC). (2008). Monographs on the evaluation of
carcinogenic risk of chemicals to humans, 1,3Butadiene, Ethylene Oxide and Vinyl Halides
(Vinyl Fluoride, Vinyl Chloride and Vinyl Bromide)
Volume 97, World Health Organization, Lyon,
France.
776 NTP (National Toxicology Program). 2016.
Report on Carcinogens, Fourteenth Edition.;
Research Triangle Park, NC: U.S. Department of
Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
777 International Agency for Research on Cancer
(IARC). (2012). Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
100F chemical agents and related occupations,
World Health Organization, Lyon, France.
778 U.S. EPA. (2002). ‘‘Full IRIS Summary for 1,3butadiene (CASRN 106–99–0)’’ Environmental
Protection Agency, Integrated Risk Information
System (IRIS), Research and Development, National
Center for Environmental Assessment, Washington,
DC https://cfpub.epa.gov/ncea/iris2/
chemicalLanding.cfm?substance_nmbr=139.
779 Bevan, C.; Stadler, J.C.; Elliot, G.S.; et al.
(1996). Subchronic toxicity of 4-vinylcyclohexene
in rats and mice by inhalation. Fundam. Appl.
Toxicol. 32:1–10.
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calculated at 0.9 ppb (approximately 2
mg/m3).
e. Ethylbenzene
EPA’s inhalation RfC for ethylbenzene
is 1 mg/m3. This conclusion on a weight
of evidence determination and RfC is
contained in the 1991 IRIS file for
ethylbenzene.780 The RfC is based on
developmental effects. A study in
rabbits found reductions in live rabbit
kits per litter at 1000 ppm. In addition,
a study on rats found an increased
incidence of supernumerary and
rudimentary ribs at 1000 ppm and
elevated incidence of extra ribs at 100
ppm. In 1988, EPA concluded that data
were inadequate to give a weight of
evidence characterization for
carcinogenic effects. EPA released an
IRIS Assessment Plan for Ethylbenzene
in 2017,781 and EPA will be releasing
the Systematic Review Protocol for
ethylbenzene in 2023.782
California EPA completed a cancer
risk assessment for ethylbenzene in
2007 and developed an inhalation unit
risk estimate of 2.5 × 10¥6.783 This
value was based on incidence of kidney
cancer in male rats. California EPA also
developed a chronic inhalation
noncancer reference exposure level
(REL) of 2000 mg/m3, based on
nephrotoxicity and body weight
reduction in rats, liver cellular
alterations, necrosis in mice, and
hyperplasia of the pituitary gland in
mice.784
ATSDR developed a chronic
inhalation Minimal Risk Level (MRL)
for ethylbenzene of 0.06 ppm based on
renal effects and an acute MRL of 5 ppm
based on auditory effects.
f. Formaldehyde
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In 1991, EPA concluded that
formaldehyde is a Class B1 probable
human carcinogen based on limited
evidence in humans and sufficient
780 U.S. EPA. (1991). Integrated Risk Information
System File for Ethylbenzene. This material is
available electronically at: https://iris.epa.gov/
ChemicalLanding/&substance_nmbr=51.
781 U.S. EPA (2017). IRIS Assessment Plan for
Ethylbenzene. EPA/635/R–17/332. This document
is available electronically at: https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=337468.
782 U.S. EPA (2022). IRIS Program Outlook. June,
2022. This material is available electronically at:
https://www.epa.gov/system/files/documents/202206/IRIS%20Program%20Outlook_June22.pdf.
783 California OEHHA, 2007. Adoption of a Unit
Risk Value for Ethylbenzene. This material is
available electronically at: https://oehha.ca.gov/air/
report-hot-spots/adoption-unit-risk-valueethylbenzene.
784 California OEHHA, 2008. Technical
Supporting Document for Noncancer RELs,
Appendix D3. This material is available
electronically at: https://oehha.ca.gov/media/
downloads/crnr/appendixd3final.pdf.
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evidence in animals.785 An inhalation
URE for cancer and a reference dose for
oral noncancer effects were developed
by EPA and posted on the IRIS database.
Since that time, the NTP and IARC have
concluded that formaldehyde is a
known human carcinogen.786 787 788
The conclusions by IARC and NTP
reflect the results of epidemiologic
research published since 1991 in
combination with previous animal,
human and mechanistic evidence.
Research conducted by the National
Cancer Institute reported an increased
risk of nasopharyngeal cancer and
specific lymphohematopoietic
malignancies among workers exposed to
formaldehyde.789 790 791 A National
Institute of Occupational Safety and
Health study of garment workers also
reported increased risk of death due to
leukemia among workers exposed to
formaldehyde.792 Extended follow-up of
a cohort of British chemical workers did
not report evidence of an increase in
nasopharyngeal or
lymphohematopoietic cancers, but a
continuing statistically significant
excess in lung cancers was reported.793
Finally, a study of embalmers reported
formaldehyde exposures to be
associated with an increased risk of
785 EPA. Integrated Risk Information System.
Formaldehyde (CASRN 50–00–0) https://
cfpub.epa.gov/ncea/iris2/chemicalLanding.
cfm?substance_nmbr=419.
786 NTP (National Toxicology Program). 2016.
Report on Carcinogens, Fourteenth Edition.;
Research Triangle Park, NC: U.S. Department of
Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
787 IARC Monographs on the Evaluation of
Carcinogenic Risks to Humans Volume 88 (2006):
Formaldehyde, 2-Butoxyethanol and 1-tertButoxypropan-2-ol.
788 IARC Monographs on the Evaluation of
Carcinogenic Risks to Humans Volume 100F (2012):
Formaldehyde.
789 Hauptmann, M.; Lubin, J. H.; Stewart, P. A.;
Hayes, R. B.; Blair, A. 2003. Mortality from
lymphohematopoetic malignancies among workers
in formaldehyde industries. Journal of the National
Cancer Institute 95: 1615–1623.
790 Hauptmann, M.; Lubin, J. H.; Stewart, P. A.;
Hayes, R. B.; Blair, A. 2004. Mortality from solid
cancers among workers in formaldehyde industries.
American Journal of Epidemiology 159: 1117–1130.
791 Beane Freeman, L. E.; Blair, A.; Lubin, J. H.;
Stewart, P. A.; Hayes, R. B.; Hoover, R. N.;
Hauptmann, M. 2009. Mortality from
lymphohematopoietic malignancies among workers
in formaldehyde industries: The National Cancer
Institute cohort. J. National Cancer Inst. 101: 751–
761.
792 Pinkerton, L. E. 2004. Mortality among a
cohort of garment workers exposed to
formaldehyde: an update. Occup. Environ. Med. 61:
193–200.
793 Coggon, D, EC Harris, J Poole, KT Palmer.
2003. Extended follow-up of a cohort of British
chemical workers exposed to formaldehyde. J
National Cancer Inst. 95:1608–1615.
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myeloid leukemia but not brain
cancer.794
Health effects of formaldehyde in
addition to cancer were reviewed by the
Agency for Toxics Substances and
Disease Registry in 1999, supplemented
in 2010, and by the World Health
Organization.795 796 797 These
organizations reviewed the scientific
literature concerning health effects
linked to formaldehyde exposure to
evaluate hazards and dose response
relationships and defined exposure
concentrations for minimal risk levels
(MRLs). The health endpoints reviewed
included sensory irritation of eyes and
respiratory tract, reduced pulmonary
function, nasal histopathology, and
immune system effects. In addition,
research on reproductive and
developmental effects and neurological
effects was discussed along with several
studies that suggest that formaldehyde
may increase the risk of asthma—
particularly in the young.
In June 2010, EPA released a draft
Toxicological Review of
Formaldehyde—Inhalation Assessment
through the IRIS program for peer
review by the National Research
Council (NRC) and public comment.798
That draft assessment reviewed more
recent research from animal and human
studies on cancer and other health
effects. The NRC released their review
report in April 2011.799 EPA’s draft
assessment, which addresses NRC
recommendations, was suspended in
2018.800 The draft assessment was
unsuspended in March 2021, and an
external review draft was released in
794 Hauptmann, M.; Stewart P. A.; Lubin J. H.;
Beane Freeman, L. E.; Hornung, R. W.; Herrick, R.
F.; Hoover, R. N.; Fraumeni, J. F.; Hayes, R. B. 2009.
Mortality from lymphohematopoietic malignancies
and brain cancer among embalmers exposed to
formaldehyde. Journal of the National Cancer
Institute 101:1696–1708.
795 ATSDR. 1999. Toxicological Profile for
Formaldehyde, U.S. Department of Health and
Human Services (HHS), July 1999.
796 ATSDR. 2010. Addendum to the Toxicological
Profile for Formaldehyde. U.S. Department of
Health and Human Services (HHS), October 2010.
797 IPCS. 2002. Concise International Chemical
Assessment Document 40. Formaldehyde. World
Health Organization.
798 EPA (U.S. Environmental Protection Agency).
2010. Toxicological Review of Formaldehyde (CAS
No. 50–00–0)—Inhalation Assessment: In Support
of Summary Information on the Integrated Risk
Information System (IRIS). External Review Draft.
EPA/635/R–10/002A. U.S. Environmental
Protection Agency, Washington DC [online].
Available: https://cfpub.epa.gov/ncea/iris_drafts/
recordisplay.cfm?deid=223614.
799 NRC (National Research Council). 2011.
Review of the Environmental Protection Agency’s
Draft IRIS Assessment of Formaldehyde.
Washington DC: National Academies Press. https://
books.nap.edu/openbook.php?record_id=13142.
800 U.S. EPA (2018). See https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=419.
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April 2022.801 This draft assessment is
now undergoing review by the National
Academy of Sciences.802
g. Naphthalene
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Naphthalene is found in small
quantities in gasoline and diesel fuels.
Naphthalene emissions have been
measured in larger quantities in both
gasoline and diesel exhaust compared
with evaporative emissions from mobile
sources, indicating it is primarily a
product of combustion.
Acute (short-term) exposure of
humans to naphthalene by inhalation,
ingestion, or dermal contact is
associated with hemolytic anemia and
damage to the liver and the nervous
system.803 Chronic (long term) exposure
of workers and rodents to naphthalene
has been reported to cause cataracts and
retinal damage.804 Children, especially
neonates, appear to be more susceptible
to acute naphthalene poisoning based
on the number of reports of lethal cases
in children and infants (hypothesized to
be due to immature naphthalene
detoxification pathways).805 EPA
released an external review draft of a
reassessment of the inhalation
carcinogenicity of naphthalene based on
a number of recent animal
carcinogenicity studies.806 The draft
reassessment completed external peer
801 U.S. EPA. IRIS Toxicological Review of
Formaldehyde-Inhalation (Interagency Science
Consultation Draft, 2021). U.S. Environmental
Protection Agency, Washington, DC, EPA/635/R–
21/286, 2021.
802 For additional information, see: https://
www.nationalacademies.org/our-work/review-ofepas-2021-draft-formaldehyde-assessment.
803 U.S. EPA. 1998. Toxicological Review of
Naphthalene (Reassessment of the Inhalation
Cancer Risk), Environmental Protection Agency,
Integrated Risk Information System, Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=56434.
804 U.S. EPA. 1998. Toxicological Review of
Naphthalene (Reassessment of the Inhalation
Cancer Risk), Environmental Protection Agency,
Integrated Risk Information System, Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=56434.
805 U.S. EPA. (1998). Toxicological Review of
Naphthalene (Reassessment of the Inhalation
Cancer Risk), Environmental Protection Agency,
Integrated Risk Information System, Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=56434.
806 U.S. EPA. (1998). Toxicological Review of
Naphthalene (Reassessment of the Inhalation
Cancer Risk), Environmental Protection Agency,
Integrated Risk Information System, Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=56434.
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review.807 Based on external peer
review comments received, EPA is
developing a revised draft assessment
that considers inhalation and oral routes
of exposure, as well as cancer and
noncancer effects.808 The external
review draft does not represent official
agency opinion and was released solely
for the purposes of external peer review
and public comment. The NTP listed
naphthalene as ‘‘reasonably anticipated
to be a human carcinogen’’ in 2004 on
the basis of bioassays reporting clear
evidence of carcinogenicity in rats and
some evidence of carcinogenicity in
mice.809 California EPA has released a
new risk assessment for naphthalene,
and the IARC has reevaluated
naphthalene and re-classified it as
Group 2B: possibly carcinogenic to
humans.810
Naphthalene also causes a number of
non-cancer effects in animals following
chronic and less-than-chronic exposure,
including abnormal cell changes and
growth in respiratory and nasal
tissues.811 The current EPA IRIS
assessment includes noncancer data on
hyperplasia and metaplasia in nasal
tissue that form the basis of the
inhalation RfC of 3 mg/m3.812 The
ATSDR MRL for acute and intermediate
duration oral exposure to naphthalene is
0.6 mg/kg/day based on maternal
toxicity in a developmental toxicology
study in rats.813 ATSDR also derived an
ad hoc reference value of 6 × 10–2 mg/
m3 for acute (≤24-hour) inhalation
exposure to naphthalene in a Letter
807 Oak Ridge Institute for Science and Education.
(2004). External Peer Review for the IRIS
Reassessment of the Inhalation Carcinogenicity of
Naphthalene. August 2004. https://cfpub.epa.gov/
ncea/cfm/recordisplay.cfm?deid=84403.
808 U.S. EPA. (2018) See: https://cfpub.epa.gov/
ncea/iris2/chemicalLanding.cfm?substance_
nmbr=436.
809 NTP (National Toxicology Program). 2016.
Report on Carcinogens, Fourteenth Edition.;
Research Triangle Park, NC: U.S. Department of
Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
810 International Agency for Research on Cancer
(IARC). (2002). Monographs on the Evaluation of
the Carcinogenic Risk of Chemicals for Humans.
Vol. 82. Lyon, France.
811 U. S. EPA. (1998). Toxicological Review of
Naphthalene, Environmental Protection Agency,
Integrated Risk Information System, Research and
Development, National Center for Environmental
Assessment, Washington, DC. This material is
available electronically at https://cfpub.epa.gov/
ncea/iris_drafts/recordisplay.cfm?deid=56434.
812 U.S. EPA. (1998). Toxicological Review of
Naphthalene. Environmental Protection Agency,
Integrated Risk Information System (IRIS), Research
and Development, National Center for
Environmental Assessment, Washington, DC
https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.
cfm?deid=56434.
813 ATSDR. Toxicological Profile for
Naphthalene, 1-Methylnaphthalene, and 2Methylnaphthalene (2005). https://
www.atsdr.cdc.gov/ToxProfiles/tp67-p.pdf.
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Health Consultation dated March 24,
2014 to address a potential exposure
concern in Illinois.814 The ATSDR acute
inhalation reference value was based on
a qualitative identification of an
exposure level interpreted not to cause
pulmonary lesions in mice. More
recently, EPA developed acute RfCs for
1-, 8-, and 24-hour exposure scenarios;
the ≤24-hour reference value is 2 × 10×2
mg/m3.815 EPA’s acute RfCs are based
on a systematic review of the literature,
benchmark dose modeling of
naphthalene-induced nasal lesions in
rats, and application of a PBPK
(physiologically based pharmacokinetic)
model.
viii. Exposure and Health Effects
Associated With Traffic
Locations in close proximity to major
roadways generally have elevated
concentrations of many air pollutants
emitted from motor vehicles. Hundreds
of studies have been published in peerreviewed journals, concluding that
concentrations of CO, CO2, NO, NO2,
benzene, aldehydes, particulate matter,
black carbon, and many other
compounds are elevated in ambient air
within approximately 300–600 meters
(about 1,000–2,000 feet) of major
roadways. The highest concentrations of
most pollutants emitted directly by
motor vehicles are found at locations
within 50 meters (about 165 feet) of the
edge of a roadway’s traffic lanes.
A large-scale review of air quality
measurements in the vicinity of major
roadways between 1978 and 2008
concluded that the pollutants with the
steepest concentration gradients in
vicinities of roadways were CO,
ultrafine particles, metals, elemental
carbon (EC), NO, NOX, and several
VOCs.816 These pollutants showed a
large reduction in concentrations within
100 meters downwind of the roadway.
Pollutants that showed more gradual
reductions with distance from roadways
included benzene, NO2, PM2.5, and
PM10. In reviewing the literature, Karner
et al., (2010) reported that results varied
based on the method of statistical
analysis used to determine the gradient
814 ATSDR. Letter Health Consultation, Radiac
Abrasives, Inc., Chicago, Illinois (2014). https://
www.atsdr.cdc.gov/HAC/pha/RadiacAbrasives/
Radiac%20Abrasives,%20Inc.%20_
%20LHC%20(Final)%20_%2003–24-2014%20(2)_
508.pdf.
815 U. S. EPA. Derivation of an acute reference
concentration for inhalation exposure to
naphthalene. Report No. EPA/600/R–21/292.
https://cfpub.epa.gov/ncea/risk/recordisplay.
cfm?deid=355035.
816 Karner, A.A.; Eisinger, D.S.; Niemeier, D.A.
(2010). Near-roadway air quality: synthesizing the
findings from real-world data. Environ Sci Technol
44: 5334–5344.
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in pollutant concentration. More recent
studies continue to show significant
concentration gradients of traffic-related
air pollution around major
roads.817 818 819 820 821; 822 823 824 There is
evidence that EPA’s regulations for
vehicles have lowered the near-road
concentrations and gradients.825
Starting in 2010, EPA required through
the NAAQS process that air quality
monitors be placed near high-traffic
roadways for determining
concentrations of CO, NO2, and PM2.5
(in addition to those existing monitors
located in neighborhoods and other
locations farther away from pollution
sources). The monitoring data for NO2
817 McDonald, B.C.; McBride, Z.C.; Martin, E.W.;
Harley, R.A. (2014) High-resolution mapping of
motor vehicle carbon dioxide emissions. J.
Geophys. Res.Atmos.,119, 5283–5298, doi:10.1002/
2013JD021219.
818 Kimbrough, S.; Baldauf, R.W.; Hagler, G.S.W.;
Shores, R.C.; Mitchell, W.; Whitaker, D.A.; Croghan,
C.W.; Vallero, D.A. (2013) Long-term continuous
measurement of near-road air pollution in Las
Vegas: seasonal variability in traffic emissions
impact on air quality. Air Qual Atmos Health 6:
295–305. DOI 10.1007/s11869–012–0171-x.
819 Kimbrough, S.; Palma, T.; Baldauf, R.W. (2014)
Analysis of mobile source air toxics (MSATs)—
Near-road VOC and carbonyl concentrations.
Journal of the Air &Waste Management Association,
64:3, 349–359, DOI: 10.1080/
10962247.2013.863814.
820 Kimbrough, S.; Owen, R.C.; Snyder, M.;
Richmond-Bryant, J. (2017) NO to NO2 Conversion
Rate Analysis and Implications for Dispersion
Model Chemistry Methods using Las Vegas, Nevada
Near-Road Field Measurements. Atmos Environ
165: 23–24.
821 Hilker, N.; Wang, J.W.; Jong, C–H.; Healy,
R.M.; Sofowote, U.; Debosz, J.; Su, Y.; Noble, M.;
Munoz, A.; Doerkson, G.; White, L.; Audette, C.;
Herod, D.; Brook, J.R.; Evans, G.J. (2019) Trafficrelated air pollution near roadways: discerning
local impacts from background. Atmos. Meas.
Tech., 12, 5247–5261. https://doi.org/10.5194/amt12-5247-2019.
822 Grivas, G.; Stavroulas, I.; Liakakou, E.;
Kaskaoutis, D.G.; Bougiatioti, A.; Paraskevopoulou,
D.; Gerasopoulos, E.; Mihalopoulos, N. (2019)
Measuring the spatial variability of black carbon in
Athens during wintertime. Air Quality, Atmosphere
& Health (2019) 12:1405–1417. https://doi.org/
10.1007/s11869-019-00756-y.
823 Apte, J.S.; Messier, K.P.; Gani, S.; Brauer, M.;
Kirchstetter, T.W.; Lunden, M.M.; Marshall, J.D.;
Portier, C.J.; Vermeulen, R.C.H.; Hamburg, S.P.
(2017) High-Resolution Air Pollution Mapping with
Google Street View Cars: Exploiting Big Data.
Environ Sci Technol 51: 6999–7008. https://doi.org/
10.1021/acs.est.7b00891.
824 Dabek-Zlotorzynska, E.; Celo, V.; Ding, L.;
Herod, D.; Jeong, C–H.; Evans, G.; Hilker, N. (2019)
Characteristics and sources of PM2.5 and reactive
gases near roadways in two metropolitan areas in
Canada. Atmos Environ 218: 116980. https://
doi.org/10.1016/j.atmosenv.2019.116980.
825 Sarnat, J.A.; Russell, A.; Liang, D.; Moutinho,
J.L; Golan, R.; Weber, R.; Gao, D.; Sarnat, S.; Chang,
H.H.; Greenwald, R.; Yu, T. (2018) Developing
Multipollutant Exposure Indicators of Traffic
Pollution: The Dorm Room Inhalation to Vehicle
Emissions (DRIVE) Study. Health Effects Institute
Research Report Number 196. [Online at: https://
www.healtheffects.org/publication/developingmultipollutant-exposure-indicators-trafficpollution-dorm-room-inhalation].
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indicate that in urban areas, monitors
near roadways often report the highest
concentrations of NO2.826 More recent
studies of traffic-related air pollutants
continue to report sharp gradients
around roadways, particularly within
several hundred meters.827 828
For pollutants with relatively high
background concentrations relative to
near-road concentrations, detecting
concentration gradients can be difficult.
For example, many carbonyls have high
background concentrations as a result of
photochemical breakdown of precursors
from many different organic
compounds. However, several studies
have measured carbonyls in multiple
weather conditions and found higher
concentrations of many carbonyls
downwind of roadways.829 830 These
findings suggest a substantial roadway
source of these carbonyls.
In the past 30 years, many studies
have been published with results
reporting that populations who live,
work, or go to school near high-traffic
roadways experience higher rates of
numerous adverse health effects,
compared to populations far away from
major roads.831 In addition, numerous
studies have found adverse health
effects associated with spending time in
traffic, such as commuting or walking
along high-traffic roadways, including
studies among children.832 833 834 835 The
826 Gantt, B; Owen, R.C.; Watkins, N. (2021)
Characterizing nitrogen oxides and fine particulate
matter near major highways in the United States
using the National Near-road Monitoring Network.
Environ Sci Technol 55: 2831–2838. [Online at
https://doi.org/10.1021/acs.est.0c05851].
827 Apte, J.S.; Messier, K.P.; Gani, S.; Brauer, M.;
Kirchstetter, T.W.; Lunden, M.M.; Marshall, J.D.;
Portier, C.J.; Vermeulen, R.C.H.; Hamburg, S.P.
(2017) High-Resolution Air Pollution Mapping with
Google Street View Cars: Exploiting Big Data.
Environ Sci Technol 51: 6999–7008. https://doi.org/
10.1021/acs.est.7b00891.
828 Gu, P.; Li, H.Z.; Ye, Q.; et al. (2018) Intercity
variability of particulate matter is driven by
carbonaceous sources and correlated with land-use
variables. Environ Sci Technol 52: 52: 11545–
11554. [Online at https://dx.doi.org/10.1021/acs.est.
8b03833].
829 Liu, W.; Zhang, J.; Kwon, J.l; et l. (2006).
Concentrations and source characteristics of
airborne carbonyl compounds measured outside
urban residences. J Air Waste Manage Assoc 56:
1196–1204.
830 Cahill, T.M.; Charles, M.J.; Seaman, V.Y.
(2010). Development and application of a sensitive
method to determine concentrations of acrolein and
other carbonyls in ambient air. Health Effects
Institute Research Report 149. Available at https://
www.healtheffects.org/system/files/Cahill149.pdf.
831 In the widely used PubMed database of health
publications, between January 1, 1990 and
December 31, 2021, 1,979 publications contained
the keywords ‘‘traffic, pollution, epidemiology,’’
with approximately half the studies published after
2015.
832 Laden, F.; Hart, J.E.; Smith, T.J.; Davis, M.E.;
Garshick, E. (2007) Cause-specific mortality in the
unionized U.S. trucking industry. Environmental
Health Perspect 115:1192–1196.
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health outcomes with the strongest
evidence linking them with trafficassociated air pollutants are respiratory
effects, particularly in asthmatic
children, and cardiovascular effects.
Numerous reviews of this body of
health literature have been published. In
a 2022 final report, an expert panel of
the Health Effects Institute (HEI)
employed a systematic review focusing
on selected health endpoints related to
exposure to traffic-related air
pollution.836 The HEI panel concluded
that there was a high level of confidence
in evidence between long-term exposure
to traffic-related air pollution and health
effects in adults, including all-cause,
circulatory, and ischemic heart disease
mortality.837 The panel also found that
there is a moderate-to-high level of
confidence in evidence of associations
with asthma onset and acute respiratory
infections in children and lung cancer
and asthma onset in adults. This report
follows on an earlier expert review
published by HEI in 2010, where it
found strongest evidence for asthmarelated traffic impacts. Other literature
reviews have been published with
conclusions generally similar to the HEI
panels’.838 839 840 841 Additionally, in
833 Peters, A.; von Klot, S.; Heier, M.;
Trentinaglia, I.; Ho¨rmann, A.; Wichmann, H.E.;
Lo¨wel, H. (2004) Exposure to traffic and the onset
of myocardial infarction. New England J Med 351:
1721–1730.
834 Zanobetti, A.; Stone, P.H.; Spelzer, F.E.;
Schwartz, J.D.; Coull, B.A.; Suh, H.H.; Nearling,
B.D.; Mittleman, M.A.; Verrier, R.L.; Gold, D.R.
(2009) T-wave alternans, air pollution and traffic in
high-risk subjects. Am J Cardiol 104: 665–670.
835 Adar, S.; Adamkiewicz, G.; Gold, D.R.;
Schwartz, J.; Coull, B.A.; Suh, H. (2007) Ambient
and microenvironmental particles and exhaled
nitric oxide before and after a group bus trip.
Environ Health Perspect 115: 507–512.
836 HEI Panel on the Health Effects of Long-Term
Exposure to Traffic-Related Air Pollution (2022)
Systematic review and meta-analysis of selected
health effects of long-term exposure to trafficrelated air pollution. Health Effects Institute Special
Report 23. [Online at https://www.healtheffects.org/
publication/systematic-review-and-meta-analysisselected-health-effects-long-term-exposure-traffic]
This more recent review focused on health
outcomes related to birth effects, respiratory effects,
cardiometabolic effects, and mortality.
837 Boogaard, H.; Patton. A.P.; Atkinson, R.W.;
Brook, J.R.; Chang, H.H.; Crouse, D.L.; Fussell, J.C.;
Hoek, G.; Hoffman, B.; Kappeler, R.; Kutlar Joss, M.;
Ondras, M.; Sagiv, S.K.; Somoli, E.; Shaikh, R.;
Szpiro, A.A.; Van Vliet E.D.S.; Vinneau, D.; Weuve,
J.; Lurmann, F.W.; Forastiere, F. (2022) Long-term
exposure to traffic-related air pollution and selected
health outcomes: a systematic review and metaanalysis. Environ Intl 164: 107262. [Online at
https://doi.org/10.1016/j.envint.2022.107262].
838 Boothe, V.L.; Shendell, D.G. (2008). Potential
health effects associated with residential proximity
to freeways and primary roads: review of scientific
literature, 1999–2006. J Environ Health 70: 33–41.
839 Salam, M.T.; Islam, T.; Gilliland, F.D. (2008).
Recent evidence for adverse effects of residential
proximity to traffic sources on asthma. Curr Opin
Pulm Med 14: 3–8.
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2014, researchers from the U.S. Centers
for Disease Control and Prevention
(CDC) published a systematic review
and meta-analysis of studies evaluating
the risk of childhood leukemia
associated with traffic exposure and
reported positive associations between
‘‘postnatal’’ proximity to traffic and
leukemia risks, but no such association
for ‘‘prenatal’’ exposures.842 The U.S.
Department of Health and Human
Services’ National Toxicology Program
published a monograph including a
systematic review of traffic-related air
pollution and its impacts on
hypertensive disorders of pregnancy.
The National Toxicology Program
concluded that exposure to trafficrelated air pollution is ‘‘presumed to be
a hazard to pregnant women’’ for
developing hypertensive disorders of
pregnancy.843
Health outcomes with few
publications suggest the possibility of
other effects still lacking sufficient
evidence to draw definitive conclusions.
Among these outcomes with a small
number of positive studies are
neurological impacts (e.g., autism and
reduced cognitive function) and
reproductive outcomes (e.g., preterm
birth, low birth weight).844 845 846 847 848
In addition to health outcomes,
particularly cardiopulmonary effects,
conclusions of numerous studies
suggest mechanisms by which traffic840 Sun, X.; Zhang, S.; Ma, X. (2014) No
association between traffic density and risk of
childhood leukemia: a meta-analysis. Asia Pac J
Cancer Prev 15: 5229–5232.
841 Raaschou-Nielsen, O.; Reynolds, P. (2006). Air
pollution and childhood cancer: a review of the
epidemiological literature. Int J Cancer 118: 2920–
9.
842 Boothe, VL.; Boehmer, T.K.; Wendel, A.M.;
Yip, F.Y. (2014) Residential traffic exposure and
childhood leukemia: a systematic review and metaanalysis. Am J Prev Med 46: 413–422.
843 National Toxicology Program (2019) NTP
Monograph on the Systematic Review of Trafficrelated Air Pollution and Hypertensive Disorders of
Pregnancy. NTP Monograph 7. https://ntp.niehs.
nih.gov/ntp/ohat/trap/mgraph/trap_final_508.pdf.
844 Volk, H.E.; Hertz-Picciotto, I.; Delwiche, L.; et
al. (2011). Residential proximity to freeways and
autism in the CHARGE study. Environ Health
Perspect 119: 873–877.
845 Franco-Suglia, S.; Gryparis, A.; Wright, R.O.;
et al. (2007). Association of black carbon with
cognition among children in a prospective birth
cohort study. Am J Epidemiol. https://doi.org/
10.1093/aje/kwm308.
846 Power, M.C.; Weisskopf, M.G.; Alexeef, SE; et
al. (2011). Traffic-related air pollution and cognitive
function in a cohort of older men. Environ Health
Perspect 2011: 682–687.
847 Wu, J.; Wilhelm, M.; Chung, J.; et al. (2011).
Comparing exposure assessment methods for trafficrelated air pollution in and adverse pregnancy
outcome study. Environ Res 111: 685–6692.
848 Stenson, C.; Wheeler, A.J.; Carver, A.; et al.
(2021) The impact of traffic-related air pollution on
child and adolescent academic performance: a
systematic review. Environ Intl 155: 106696 [Online
at https://doi.org/10.1016/j.envint.2021.106696].
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related air pollution affects health. For
example, numerous studies indicate that
near-roadway exposures may increase
systemic inflammation, affecting organ
systems, including blood vessels and
lungs.849 850 851 852 Additionally, longterm exposures in near-road
environments have been associated with
inflammation-associated conditions,
such as atherosclerosis and
asthma.853 854 855
Several studies suggest that some
factors may increase susceptibility to
the effects of traffic-associated air
pollution. Several studies have found
stronger respiratory associations in
children experiencing chronic social
stress, such as in violent neighborhoods
or in homes with high family
stress.856 857 858
The risks associated with residence,
workplace, or schools near major roads
are of potentially high public health
significance due to the large population
in such locations. Every two years from
1997 to 2009 and in 2011, the U.S.
Census Bureau’s American Housing
Survey (AHS) conducted a survey that
849 Riediker, M. (2007). Cardiovascular effects of
fine particulate matter components in highway
patrol officers. Inhal Toxicol 19: 99–105. doi:
10.1080/08958370701495238.
850 Alexeef, SE; Coull, B.A.; Gryparis, A.; et al.
(2011). Medium-term exposure to traffic-related air
pollution and markers of inflammation and
endothelial function. Environ Health Perspect 119:
481–486. doi:10.1289/ehp.1002560.
851 Eckel. S.P.; Berhane, K.; Salam, M.T.; et al.
(2011). Residential Traffic-related pollution
exposure and exhaled nitric oxide in the Children’s
Health Study. Environ Health Perspect.
doi:10.1289/ehp.1103516.
852 Zhang, J.; McCreanor, J.E.; Cullinan, P.; et al.
(2009). Health effects of real-world exposure diesel
exhaust in persons with asthma. Res Rep Health
Effects Inst 138. [Online at https://
www.healtheffects.org].
853 Adar, S.D.; Klein, R.; Klein, E.K.; et al. (2010).
Air pollution and the microvasculature: a crosssectional assessment of in vivo retinal images in the
population-based Multi-Ethnic Study of
Atherosclerosis. PLoS Med 7(11): E1000372. https://
doi.org/10.1371/journal.pmed.1000372.
854 Kan, H.; Heiss, G.; Rose, K.M.; et al. (2008).
Prospective analysis of traffic exposure as a risk
factor for incident coronary heart disease: The
Atherosclerosis Risk in Communities (ARIC) study.
Environ Health Perspect 116: 1463–1468. https://
doi.org/10.1289/ehp.11290.
855 McConnell, R.; Islam, T.; Shankardass, K.; et
al. (2010). Childhood incident asthma and trafficrelated air pollution at home and school. Environ
Health Perspect 1021–1026.
856 Islam, T.; Urban, R.; Gauderman, W.J.; et al.
(2011). Parental stress increases the detrimental
effect of traffic exposure on children’s lung
function. Am J Respir Crit Care Med.
857 Clougherty, J.E.; Levy, J.I.; Kubzansky, L.D.; et
al. (2007). Synergistic effects of traffic-related air
pollution and exposure to violence on urban asthma
etiology. Environ Health Perspect 115: 1140–1146.
858 Chen, E.; Schrier, H.M.; Strunk, R.C.; et al.
(2008). Chronic traffic-related air pollution and
stress interact to predict biologic and clinical
outcomes in asthma. Environ Health Perspect 116:
970–5.
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includes whether housing units are
within 300 feet of an ‘‘airport, railroad,
or highway with four or more lanes.’’ 859
The 2013 AHS was the last AHS that
included that question. The 2013 survey
reports that 17.3 million housing units,
or 13 percent of all housing units in the
United States, were in such areas.
Assuming that populations and housing
units are in the same locations, this
corresponds to a population of more
than 41 million U.S. residents in close
proximity to high-traffic roadways or
other transportation sources. According
to the Central Intelligence Agency’s
World Factbook, based on data collected
between 2012–2014, the United States
had 6,586,610 km of roadways, 293,564
km of railways, and 13,513 airports. As
such, highways represent the
overwhelming majority of transportation
facilities described by this factor in the
AHS.
EPA also conducted a study to
estimate the number of people living
near truck freight routes in the United
States.860 Based on a population
analysis using the U.S. Department of
Transportation’s (USDOT) Freight
Analysis Framework 4 (FAF4) and
population data from the 2010
decennial census, an estimated 72
million people live within 200 meters
(about 650 feet) of these freight
routes.861 862 In addition, as described in
Section VI.D.2, relative to the rest of the
population, people of color and those
with lower incomes are more likely to
live near FAF4 truck routes. They are
also more likely to live in metropolitan
areas. The EPA’s Exposure Factor
Handbook also indicates that, on
average, Americans spend more than an
hour traveling each day, bringing nearly
all residents into a high-exposure
microenvironment for part of the day.
859 The variable was known as ‘‘ETRANS’’ in the
questions about the neighborhood.
860 U.S. EPA (2021). Estimation of Population
Size and Demographic Characteristics among
People Living Near Truck Routes in the
Conterminous United States. Memorandum to the
Docket.
861 FAF4 is a model from the USDOT’s Bureau of
Transportation Statistics (BTS) and Federal
Highway Administration (FHWA), which provides
data associated with freight movement in the U.S.
It includes data from the 2012 Commodity Flow
Survey (CFS), the Census Bureau on international
trade, as well as data associated with construction,
agriculture, utilities, warehouses, and other
industries. FAF4 estimates the modal choices for
moving goods by trucks, trains, boats, and other
types of freight modes. It includes traffic
assignments, including truck flows on a network of
truck routes. https://ops.fhwa.dot.gov/freight/
freight_analysis/faf/.
862 The same analysis estimated the population
living within 100 meters of a FAF4 truck route is
41 million.
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863 864 While near-roadway studies focus
on residents near roads or others
spending considerable time near major
roads, the duration of commuting
results in another important contributor
to overall exposure to traffic-related air
pollution. Studies of health that address
time spent in transit have found
evidence of elevated risk of cardiac
impacts. 865 866 867 Studies have also
found that school bus emissions can
increase student exposures to dieselrelated air pollutants, and that programs
that reduce school bus emissions may
improve health and reduce school
absenteeism. 868 869 870 871
As described in Section VI.D.2, we
estimate that about 10 million students
attend schools within 200 meters of
major roads. Research into the impact of
traffic-related air pollution on school
performance is tentative. A review of
this literature found some evidence that
children exposed to higher levels of
traffic-related air pollution show poorer
academic performance than those
exposed to lower levels of traffic-related
air pollution.872 873 However, this
863 EPA. (2011) Exposure Factors Handbook: 2011
Edition. Chapter 16. Online at https://www.epa.gov/
expobox/about-exposure-factors-handbook.
864 It is not yet possible to estimate the long-term
impact of growth in telework associated with the
COVID–19 pandemic on travel behavior. There
were notable changes during the pandemic. For
example, according to the 2021 American Time Use
Survey, a greater fraction of workers did at least
part of their work at home (38%) as compared with
the 2019 survey (24%). [Online at https://
www.bls.gov/news.release/atus.nr0.htm.]
865 Riediker, M.; Cascio, W.E.; Griggs, T.R.; et al.
(2004) Particulate matter exposure in cars is
associated with cardiovascular effects in healthy
young men. Am J Respir Crit Care Med 169. [Online
at https://doi.org/10.1164/rccm.200310-1463OC.]
866 Peters, A.; von Klot, S.; Heier, M.; et al. (2004)
Exposure to traffic and the onset of myocardial
infarction. New Engl J Med 1721–1730. [Online at
https://doi.org/10.1056/NEJMoa040203.]
867 Adar, S.D.; Gold, D.R.; Coull, B.A.; (2007)
Focused exposure to airborne traffic particles and
heart rate variability in the elderly. Epidemiology
18: 95–103 [Online at 351: https://doi.org/10.1097/
01.ede.0000249409.81050.46.]
868 Sabin, L.; Behrentz, E.; Winer, A.M.; et al.
Characterizing the range of children’s air pollutant
exposure during school bus commutes. J Expo Anal
Environ Epidemiol 15: 377–387. [Online at https://
doi.org/10.1038/sj.jea.7500414.]
869 Li, C.; N, Q.; Ryan, P.H.; School bus pollution
and changes in the air quality at schools: a case
study. J Environ Monit 11: 1037–1042. [https://
doi.org/10.1039/b819458k.]
870 Austin, W.; Heutel, G.; Kreisman, D. (2019)
School bus emissions, student health and academic
performance. Econ Edu Rev 70: 108–12.
871 Adar, S.D.; D.Souza, J.; Sheppard, L.; et al.
(2015) Adopting clean fuels and technologies on
school buses. Pollution and health impacts in
children. Am J Respir Crit Care Med 191. [Online
at https://doi.org/10.1164/rccm.201410-1924OC.]
872 Stenson, C.; Wheeler, A.J.; Carver, A.; et al.
(2021) The impact of traffic-related air pollution on
child and adolescent academic performance: a
systematic review. Environ Intl 155: 106696.
[Online at https://doi.org/10.1016/j.envint.
2021.106696.]
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evidence was judged to be weak due to
limitations in the assessment methods.
3. Welfare Effects Associated With
Exposure to Non-GHG Pollutants
This section discusses the
environmental effects associated with
non-GHG pollutants affected by this
rule, specifically particulate matter,
ozone, NOX, SOX, and air toxics.
i. Visibility
Visibility can be defined as the degree
to which the atmosphere is transparent
to visible light.874 Visibility impairment
is caused by light scattering and
absorption by suspended particles and
gases. It is dominated by contributions
from suspended particles except under
pristine conditions. Visibility is
important because it has direct
significance to people’s enjoyment of
daily activities in all parts of the
country. Individuals value good
visibility for the well-being it provides
them directly, where they live and
work, and in places where they enjoy
recreational opportunities. Visibility is
also highly valued in significant natural
areas, such as national parks and
wilderness areas, and special emphasis
is given to protecting visibility in these
areas. For more information on visibility
see the final 2019 p.m. ISA.875
EPA is working to address visibility
impairment. Reductions in air pollution
from implementation of various
programs associated with the Clean Air
Act Amendments of 1990 provisions
have resulted in substantial
improvements in visibility and will
continue to do so in the future.
Nationally, because trends in haze are
closely associated with trends in
particulate sulfate and nitrate due to the
relationship between their
concentration and light extinction,
visibility trends have improved as
emissions of SO2 and NOX have
decreased over time due to air pollution
regulations such as the Acid Rain
873 Gartland, N; Aljofi, H.E.; Dienes, K.; Munford,
L.A.; Theakston, A.L.; van Tongeren, M. (2022) The
effects of traffic air pollution in and around schools
on executive function and academic performance in
children: a rapid review. Int J Environ Res Public
Health 10: 749. [Online at https://www.ncbi.nlm.
nih.gov/pmc/articles/PMC8776123.]
874 National Research Council, (1993). Protecting
Visibility in National Parks and Wilderness Areas.
National Academy of Sciences Committee on Haze
in National Parks and Wilderness Areas. National
Academy Press, Washington, DC. This book can be
viewed on the National Academy Press website at
https://www.nap.edu/catalog/2097/protectingvisibility-in-national-parks-and-wilderness-areas.
875 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
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Program.876 However, in the western
part of the country, changes in total
light extinction were smaller, and the
contribution of particulate organic
matter to atmospheric light extinction
was increasing due to increasing
wildfire emissions.877
In the Clean Air Act Amendments of
1977, Congress recognized visibility’s
value to society by establishing a
national goal to protect national parks
and wilderness areas from visibility
impairment caused by manmade
pollution.878 In 1999, EPA finalized the
regional haze program to protect the
visibility in Mandatory Class I Federal
areas.879 There are 156 national parks,
forests and wilderness areas categorized
as Mandatory Class I Federal areas.880
These areas are defined in CAA section
162 as those national parks exceeding
6,000 acres, wilderness areas and
memorial parks exceeding 5,000 acres,
and all international parks which were
in existence on August 7, 1977.
EPA has also concluded that PM2.5
causes adverse effects on visibility in
other areas that are not targeted by the
Regional Haze Rule, such as urban
areas, depending on PM2.5
concentrations and other factors such as
dry chemical composition and relative
humidity (i.e., an indicator of the water
composition of the particles). The
secondary (welfare-based) PM NAAQS
provide protection against visibility
effects. In recent PM NAAQS reviews,
EPA evaluated a target level of
protection for visibility impairment that
is expected to be met through
attainment of the existing secondary PM
standards.881
ii. Ozone Effects on Ecosystems
The welfare effects of ozone include
effects on ecosystems, which can be
observed across a variety of scales, i.e.,
subcellular, cellular, leaf, whole plant,
population and ecosystem. Ozone
effects that begin at small spatial scales,
such as the leaf of an individual plant,
when they occur at sufficient
magnitudes (or to a sufficient degree)
can result in effects being propagated
876 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
877 Hand, JL; Prenni, AJ; Copeland, S; Schichtel,
BA; Malm, WC. (2020). Thirty years of the Clean Air
Act Amendments: Impacts on haze in remote
regions of the United States (1990–2018). Atmos
Environ 243: 117865.
878 See CAA Section 169(a).
879 64 FR 35714, July 1, 1999.
880 62 FR 38680–38681, July 18, 1997.
881 On June 10, 2021, EPA announced that it will
reconsider the decision to retain the PM NAAQS.
https://www.epa.gov/pm-pollution/nationalambient-air-quality-standards-naaqs-pm.
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along a continuum to higher and higher
levels of biological organization. For
example, effects at the individual plant
level, such as altered rates of leaf gas
exchange, growth and reproduction,
can, when widespread, result in broad
changes in ecosystems, such as
productivity, carbon storage, water
cycling, nutrient cycling, and
community composition.
Ozone can produce both acute and
chronic injury in sensitive plant species
depending on the concentration level
and the duration of the exposure.882 In
those sensitive species,883 effects from
repeated exposure to ozone throughout
the growing season of the plant can tend
to accumulate, so even relatively low
concentrations experienced for a longer
duration have the potential to create
chronic stress on vegetation.884 885
Ozone damage to sensitive plant species
includes impaired photosynthesis and
visible injury to leaves. The impairment
of photosynthesis, the process by which
the plant makes carbohydrates (its
source of energy and food), can lead to
reduced crop yields, timber production,
and plant productivity and growth.
Impaired photosynthesis can also lead
to a reduction in root growth and
carbohydrate storage below ground,
resulting in other, more subtle plant and
ecosystems impacts.886 These latter
impacts include increased susceptibility
of plants to insect attack, disease, harsh
weather, interspecies competition and
overall decreased plant vigor. The
adverse effects of ozone on areas with
sensitive species could potentially lead
to species shifts and loss from the
affected ecosystems,887 resulting in a
loss or reduction in associated
ecosystem goods and services.
Additionally, visible ozone injury to
leaves can result in a loss of aesthetic
value in areas of special scenic
significance like national parks and
wilderness areas and reduced use of
882 73
FR 16486, March 27, 2008.
FR 16491, March 27, 2008. Only a small
percentage of all the plant species growing within
the U.S. (over 43,000 species have been catalogued
in the USDA PLANTS database) have been studied
with respect to ozone sensitivity.
884 U.S. EPA. Integrated Science Assessment (ISA)
for Ozone and Related Photochemical Oxidants
(Final Report). U.S. Environmental Protection
Agency, Washington, DC, EPA/600/R–20/012, 2020.
885 The concentration at which ozone levels
overwhelm a plant’s ability to detoxify or
compensate for oxidant exposure varies. Thus,
whether a plant is classified as sensitive or tolerant
depends in part on the exposure levels being
considered.
886 73 FR 16492, March 27, 2008.
887 73 FR 16493–16494, March 27, 2008. Ozone
impacts could be occurring in areas where plant
species sensitive to ozone have not yet been studied
or identified.
sensitive ornamentals in landscaping.888
In addition to ozone effects on
vegetation, newer evidence suggests that
ozone affects interactions between
plants and insects by altering chemical
signals (e.g., floral scents) that plants
use to communicate to other community
members, such as attraction of
pollinators.
The Ozone ISA presents more
detailed information on how ozone
affects vegetation and ecosystems.889
The Ozone ISA reports causal and likely
causal relationships between ozone
exposure and a number of welfare
effects and characterizes the weight of
evidence for different effects associated
with ozone.890 The ISA concludes that
visible foliar injury effects on
vegetation, reduced vegetation growth,
reduced plant reproduction, reduced
productivity in terrestrial ecosystems,
reduced yield and quality of agricultural
crops, alteration of below-ground
biogeochemical cycles, and altered
terrestrial community composition are
causally associated with exposure to
ozone. It also concludes that increased
tree mortality, altered herbivore growth
and reproduction, altered plant-insect
signaling, reduced carbon sequestration
in terrestrial ecosystems, and alteration
of terrestrial ecosystem water cycling
are likely to be causally associated with
exposure to ozone.
iii. Deposition
The Integrated Science Assessment
for Oxides of Nitrogen, Oxides of Sulfur,
and Particulate Matter—Ecological
Criteria documents the ecological effects
of the deposition of these criteria air
pollutants.891 It is clear from the body
of evidence that oxides of nitrogen,
oxides of sulfur, and particulate matter
contribute to total nitrogen (N) and
sulfur (S) deposition. In turn, N and S
deposition cause either nutrient
enrichment or acidification depending
on the sensitivity of the landscape or the
species in question. Both enrichment
and acidification are characterized by an
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888 73
FR 16490–16497, March 27, 2008.
EPA. Integrated Science Assessment (ISA)
for Ozone and Related Photochemical Oxidants
(Final Report). U.S. Environmental Protection
Agency, Washington, DC, EPA/600/R–20/012, 2020.
890 The Ozone ISA evaluates the evidence
associated with different ozone related health and
welfare effects, assigning one of five ‘‘weight of
evidence’’ determinations: causal relationship,
likely to be a causal relationship, suggestive of a
causal relationship, inadequate to infer a causal
relationship, and not likely to be a causal
relationship. For more information on these levels
of evidence, please refer to Table II of the ISA.
891 U.S. EPA. Integrated Science Assessment (ISA)
for Oxides of Nitrogen, Oxides of Sulfur and
Particulate Matter Ecological Criteria (Final Report).
U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R–20/278, 2020.
889 U.S.
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alteration of the biogeochemistry and
the physiology of organisms, resulting
in harmful declines in biodiversity in
terrestrial, freshwater, wetland, and
estuarine ecosystems in the U.S.
Decreases in biodiversity mean that
some species become relatively less
abundant and may be locally extirpated.
In addition to the loss of unique living
species, the decline in total biodiversity
can be harmful because biodiversity is
an important determinant of the
stability of ecosystems and their ability
to provide socially valuable ecosystem
services.
Terrestrial, wetland, freshwater, and
estuarine ecosystems in the United
States are affected by N enrichment/
eutrophication caused by N deposition.
These effects have been consistently
documented across the United States for
hundreds of species. In aquatic systems
increased nitrogen can alter species
assemblages and cause eutrophication.
In terrestrial systems nitrogen loading
can lead to loss of nitrogen-sensitive
lichen species, decreased biodiversity of
grasslands, meadows and other sensitive
habitats, and increased potential for
invasive species.
The sensitivity of terrestrial and
aquatic ecosystems to acidification from
nitrogen and sulfur deposition is
predominantly governed by geology.
Prolonged exposure to excess nitrogen
and sulfur deposition in sensitive areas
acidifies lakes, rivers, and soils.
Increased acidity in surface waters
creates inhospitable conditions for biota
and affects the abundance and
biodiversity of fishes, zooplankton and
macroinvertebrates and ecosystem
function. Over time, acidifying
deposition also removes essential
nutrients from forest soils, depleting the
capacity of soils to neutralize future
acid loadings and negatively affecting
forest sustainability. Major effects in
forests include a decline in sensitive
tree species, such as red spruce (Picea
rubens) and sugar maple (Acer
saccharum).
Building materials including metals,
stones, cements, and paints undergo
natural weathering processes from
exposure to environmental elements
(e.g., wind, moisture, temperature
fluctuations, sunlight, etc.). Pollution
can worsen and accelerate these effects.
Deposition of PM is associated with
both physical damage (materials damage
effects) and impaired aesthetic qualities
(soiling effects). Wet and dry deposition
of PM can physically affect materials,
adding to the effects of natural
weathering processes, by potentially
promoting or accelerating the corrosion
of metals, by degrading paints and by
deteriorating building materials such as
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stone, concrete and marble.892 The
effects of PM are exacerbated by the
presence of acidic gases and can be
additive or synergistic due to the
complex mixture of pollutants in the air
and surface characteristics of the
material. Acidic deposition has been
shown to have an effect on materials
including zinc/galvanized steel and
other metal, carbonate stone (as
monuments and building facings), and
surface coatings (paints).893 The effects
on historic buildings and outdoor works
of art are of particular concern because
of the uniqueness and irreplaceability of
many of these objects. In addition to
aesthetic and functional effects on
metals, stone and glass, altered energy
efficiency of photovoltaic panels by PM
deposition is also becoming an
important consideration for impacts of
air pollutants on materials.
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iv. Welfare Effects Associated With Air
Toxics
Emissions from producing,
transporting, and combusting fuel
contribute to ambient levels of
pollutants that contribute to adverse
effects on vegetation. VOCs, some of
which are considered air toxics, have
long been suspected to play a role in
vegetation damage.894 In laboratory
experiments, a wide range of tolerance
to VOCs has been observed.895
Decreases in harvested seed pod weight
have been reported for the more
sensitive plants, and some studies have
reported effects on seed germination,
flowering, and fruit ripening. Effects of
individual VOCs or their role in
conjunction with other stressors (e.g.,
acidification, drought, temperature
extremes) have not been well studied. In
a recent study of a mixture of VOCs
including ethanol and toluene on
herbaceous plants, significant effects on
seed production, leaf water content, and
photosynthetic efficiency were reported
for some plant species.896
892 U.S. EPA. Integrated Science Assessment (ISA)
for Particulate Matter (Final Report, 2019). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–19/188, 2019.
893 Irving, P.M., e.d. 1991. Acid Deposition: State
of Science and Technology, Volume III, Terrestrial,
Materials, Health, and Visibility Effects, The U.S.
National Acid Precipitation Assessment Program,
Chapter 24, page 24–76.
894 U.S. EPA. (1991). Effects of organic chemicals
in the atmosphere on terrestrial plants. EPA/600/3–
91/001.
895 Cape JN, ID Leith, J Binnie, J Content, M
Donkin, M Skewes, DN Price AR Brown, AD
Sharpe. (2003). Effects of VOCs on herbaceous
plants in an open-top chamber experiment.
Environ. Pollut. 124:341–343.
896 Cape JN, ID Leith, J Binnie, J Content, M
Donkin, M Skewes, DN Price AR Brown, AD
Sharpe. (2003). Effects of VOCs on herbaceous
plants in an open-top chamber experiment.
Environ. Pollut. 124:341–343.
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Research suggests an adverse impact
of vehicle exhaust on plants, which has
in some cases been attributed to
aromatic compounds and in other cases
to NOX.897 898 899 The impacts of VOCs
on plant reproduction may have longterm implications for biodiversity and
survival of native species near major
roadways. Most of the studies of the
impacts of VOCs on vegetation have
focused on short-term exposure, and
few studies have focused on long-term
effects of VOCs on vegetation and the
potential for metabolites of these
compounds to affect herbivores or
insects.
C. Air Quality Impacts of Non-GHG
Pollutants
Section V of the preamble presents
projections of the changes in criteria
pollutant and air toxics emissions due
to the proposed standards. However, the
atmospheric chemistry related to
ambient concentrations of PM2.5, ozone
and air toxics is very complex, and
evaluating air quality impacts of this
proposed rule based solely on emissions
changes is difficult. Photochemical air
quality modeling is necessary to
accurately project levels of most criteria
and air toxic pollutants, including
ozone and PM. Air quality models use
mathematical and numerical techniques
to simulate the physical and chemical
processes that affect air pollutants as
they disperse and react in the
atmosphere. Based on inputs of
meteorological data and source
information, these models are designed
to characterize primary pollutants that
are emitted directly into the atmosphere
and secondary pollutants that are
formed through complex chemical
reactions within the atmosphere.
Photochemical air quality models have
become widely recognized and
routinely utilized tools in regulatory
analysis for assessing the impacts of
control strategies. Because of the length
of time needed to prepare the necessary
emissions inventories, in addition to the
processing time associated with the
modeling itself, we do not have air
quality modeling results available for
this proposed rule.
897 Viskari E–L. (2000). Epicuticular wax of
Norway spruce needles as indicator of traffic
pollutant deposition. Water, Air, and Soil Pollut.
121:327–337.
898 Ugrekhelidze D, F Korte, G Kvesitadze. (1997).
Uptake and transformation of benzene and toluene
by plant leaves. Ecotox. Environ. Safety 37:24–29.
899 Kammerbauer H, H Selinger, R Rommelt, A
Ziegler-Jons, D Knoppik, B Hock. (1987). Toxic
components of motor vehicle emissions for the
spruce Picea abies. Environ. Pollut. 48:235–243.
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D. Environmental Justice
EPA’s 2016 ‘‘Technical Guidance for
Assessing Environmental Justice in
Regulatory Analysis’’ provides
recommendations on conducting the
highest quality analysis feasible,
recognizing that data limitations, time
and resource constraints, and analytic
challenges will vary by media and
regulatory context.900 When assessing
the potential for disproportionately high
and adverse health or environmental
impacts of regulatory actions on
populations with potential EJ concerns,
the EPA strives to answer three broad
questions: (1) Is there evidence of
potential environmental justice (EJ)
concerns in the baseline (the state of the
world absent the regulatory action)?
Assessing the baseline will allow the
EPA to determine whether pre-existing
disparities are associated with the
pollutant(s) under consideration (e.g., if
the effects of the pollutant(s) are more
concentrated in some population
groups); (2) Is there evidence of
potential EJ concerns for the regulatory
option(s) under consideration?
Specifically, how are the pollutant(s)
and its effects distributed for the
regulatory options under consideration?;
and (3) Do the regulatory option(s)
under consideration exacerbate or
mitigate EJ concerns relative to the
baseline? It is not always possible to
quantitatively assess these questions.
In this section, we discuss the EJ
impacts of the proposed CO2 emission
standards from the anticipated
reduction of GHGs (Section VI.D.1). EPA
did not consider any potential
disproportionate impacts of vehicle
emissions in selecting the proposed CO2
emission standards, but we view
mitigation of disproportionate impacts
of vehicle GHG emissions as one
element of protecting public health
consistent with CAA section 202. We
also discuss potential additional EJ
impacts from the non-GHG (criteria
pollutants and air toxics) emissions
changes we estimate would result from
compliance with the proposed CO2
emission standards (Section VI.D.2).
EPA requests comment on the EJ impact
analysis presented in this proposal.
1. GHG Impacts
In 2009, under the Endangerment and
Cause or Contribute Findings for
Greenhouse Gases Under Section 202(a)
of the Clean Air Act (‘‘Endangerment
Finding’’), the Administrator considered
900 ‘‘Technical Guidance for Assessing
Environmental Justice in Regulatory Analysis.’’
Epa.gov, Environmental Protection Agency, https://
www.epa.gov/sites/production/files/2016-06/
documents/ejtg_5_6_16_v5.1.pdf. (June 2016).
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how climate change threatens the health
and welfare of the U.S. population. As
part of that consideration, she also
considered risks to people of color and
low-income individuals and
communities, finding that certain parts
of the U.S. population may be especially
vulnerable based on their characteristics
or circumstances. These groups include
economically and socially
disadvantaged communities;
individuals at vulnerable life stages,
such as the elderly, the very young, and
pregnant or nursing women; those
already in poor health or with
comorbidities; the disabled; those
experiencing homelessness, mental
illness, or substance abuse; and
Indigenous or other populations
dependent on one or limited resources
for subsistence due to factors including
but not limited to geography, access,
and mobility.
Scientific assessment reports
produced over the past decade by the
U.S. Global Change Research Program
(USGCRP), 901 902 the Intergovernmental
Panel on Climate Change
IPCC), 903 904 905 906 and the National
901 USGCRP, 2018: Impacts, Risks, and
Adaptation in the United States: Fourth National
Climate Assessment, Volume II [Reidmiller, D.R.,
C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M.
Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S.
Global Change Research Program, Washington, DC,
USA, 1515 pp. doi: 10.7930/NCA4.2018.
902 USGCRP, 2016: The Impacts of Climate
Change on Human Health in the United States: A
Scientific Assessment. Crimmins, A., J. Balbus, J.L.
Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J. Eisen,
N. Fann, M.D. Hawkins, S.C. Herring, L.
Jantarasami, D.M. Mills, S. Saha, M.C. Sarofim, J.
Trtanj, and L. Ziska, Eds. U.S. Global Change
Research Program, Washington, DC, 312 pp. https://
dx.doi.org/10.7930/J0R49NQX.
903 Oppenheimer, M., M. Campos, R.Warren, J.
Birkmann, G. Luber, B. O’Neill, and K. Takahashi,
2014: Emergent risks and key vulnerabilities. In:
Climate Change 2014: Impacts, Adaptation, and
Vulnerability. Part A: Global and Sectoral Aspects.
Contribution of Working Group II to the Fifth
Assessment Report of the Intergovernmental Panel
on Climate Change [Field, C.B., V.R. Barros, D.J.
Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M.
Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B.
Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R.
Mastrandrea, and L.L.White (eds.)]. Cambridge
University Press, Cambridge, United Kingdom and
New York, NY, USA, pp. 1039–1099.
904 Porter, J.R., L. Xie, A.J. Challinor, K. Cochrane,
S.M. Howden, M.M. Iqbal, D.B. Lobell, and M.I.
Travasso, 2014: Food security and food production
systems. In: Climate Change 2014: Impacts,
Adaptation, and Vulnerability. Part A: Global and
Sectoral Aspects. Contribution of Working Group II
to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change [Field,
C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D.
Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O.
Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N.
Levy, S. MacCracken, P.R. Mastrandrea, and
L.L.White (eds.)]. Cambridge University Press,
Cambridge, United Kingdom and New York, NY,
USA, pp. 485–533.
905 Smith, K.R., A.Woodward, D. CampbellLendrum, D.D. Chadee, Y. Honda, Q. Liu, J.M.
Olwoch, B. Revich, and R. Sauerborn, 2014: Human
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Academies of Science, Engineering, and
Medicine 907 908 add more evidence that
the impacts of climate change raise
potential environmental justice
concerns. These reports conclude that
poorer or predominantly non-White
communities can be especially
vulnerable to climate change impacts
because they tend to have limited
adaptive capacities, are more dependent
on climate-sensitive resources such as
local water and food supplies, or have
less access to social and information
resources. Some communities of color,
specifically populations defined jointly
by ethnic/racial characteristics and
geographic location, may be uniquely
vulnerable to climate change health
impacts in the United States. In
particular, the 2016 scientific
assessment on the Impacts of Climate
Change on Human Health909 found with
high confidence that vulnerabilities are
place- and time-specific, life stages and
ages are linked to immediate and future
health impacts, and social determinants
of health are linked to greater extent and
severity of climate change-related health
impacts. The GHG emission reductions
from this proposal would contribute to
efforts to reduce the probability of
severe impacts related to climate
change.
health: impacts, adaptation, and co-benefits. In:
Climate Change 2014: Impacts, Adaptation, and
Vulnerability. Part A: Global and Sectoral Aspects.
Contribution of Working Group II to the Fifth
Assessment Report of the Intergovernmental Panel
on Climate Change [Field, C.B., V.R. Barros, D.J.
Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M.
Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B.
Girma, E.S. Kissel,A.N. Levy, S. MacCracken, P.R.
Mastrandrea, and L.L.White (eds.)]. Cambridge
University Press, Cambridge, United Kingdom and
New York, NY, USA, pp. 709–754.
906 IPCC, 2018: Global Warming of 1.5°C.An IPCC
Special Report on the impacts of global warming of
1.5°C above pre-industrial levels and related global
greenhouse gas emission pathways, in the context
of strengthening the global response to the threat of
climate change, sustainable development, and
efforts to eradicate poverty [Masson-Delmotte, V., P.
Zhai, H.-O. Po¨rtner, D. Roberts, J. Skea, P.R. Shukla,
A. Pirani, W. Moufouma-Okia, C. Pe´an, R. Pidcock,
S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I.
Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T.
Waterfield (eds.)]. In Press.
907 National Research Council. 2011. America’s
Climate Choices. Washington, DC: The National
Academies Press. https://doi.org/10.17226/12781.
908 National Academies of Sciences, Engineering,
and Medicine. 2017. Communities in Action:
Pathways to Health Equity. Washington, DC: The
National Academies Press. https://doi.org/
10.17226/24624.
909 USGCRP, 2016: The Impacts of Climate
Change on Human Health in the United States: A
Scientific Assessment. Crimmins, A., J. Balbus, J.L.
Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J. Eisen,
N. Fann, M.D. Hawkins, S.C. Herring, L.
Jantarasami, D.M. Mills, S. Saha, M.C. Sarofim, J.
Trtanj, and L. Ziska, Eds. U.S. Global Change
Research Program, Washington, DC, 312 pp. https://
dx.doi.org/10.7930/J0R49NQX.
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i. Effects on Specific Populations of
Concern
Individuals living in socially and
economically vulnerable communities,
such as those living at or below the
poverty line or who are experiencing
homelessness or social isolation, are at
greater risk of health effects from
climate change. This is also true with
respect to people at vulnerable life
stages, specifically women who are preand perinatal or are nursing; in utero
fetuses; children at all stages of
development; and the elderly. Per the
Fourth National Climate Assessment
(NCA4), ‘‘Climate change affects human
health by altering exposures to heat
waves, floods, droughts, and other
extreme events; vector-, food- and
waterborne infectious diseases; changes
in the quality and safety of air, food, and
water; and stresses to mental health and
well-being.’’ 910 Many health conditions
such as cardiopulmonary or respiratory
illness and other health impacts are
associated with and exacerbated by an
increase in GHGs and climate change
outcomes, which is problematic as these
diseases occur at higher rates within
vulnerable communities. Importantly,
negative public health outcomes include
those that are physical in nature, as well
as mental, emotional, social, and
economic.
To this end, the scientific assessment
literature, including the aforementioned
reports, demonstrates that there are
myriad ways in which these
populations may be affected at the
individual and community levels.
Individuals face differential exposure to
criteria pollutants, in part due to the
proximities of highways, trains,
factories, and other major sources of
pollutant-emitting sources to lessaffluent residential areas. Outdoor
workers, such as construction or utility
crews and agricultural laborers, who
frequently are comprised of already atrisk groups, are exposed to poor air
quality and extreme temperatures
without relief. Furthermore, people in
communities with EJ concerns face
greater housing, clean water, and food
insecurity and bear disproportionate
economic impacts and health burdens
associated with climate change effects.
They have less or limited access to
healthcare and affordable, adequate
910 Ebi, K.L., J.M. Balbus, G. Luber, A. Bole, A.
Crimmins, G. Glass, S. Saha, M.M. Shimamoto, J.
Trtanj, and J.L. White-Newsome, 2018: Human
Health. In Impacts, Risks, and Adaptation in the
United States: Fourth National Climate Assessment,
Volume II [Reidmiller, D.R., C.W. Avery, D.R.
Easterling, K.E. Kunkel, K.L.M. Lewis, T.K.
Maycock, and B.C. Stewart (eds.)]. U.S. Global
Change Research Program, Washington, DC, USA,
pp. 539–571. doi: 10.7930/NCA4.2018.CH14.
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health or homeowner insurance.
Finally, resiliency and adaptation are
more difficult for economically
vulnerable communities; they have less
liquidity, individually and collectively,
to move or to make the types of
infrastructure or policy changes to limit
or reduce the hazards they face. They
frequently are less able to self-advocate
for resources that would otherwise aid
in building resilience and hazard
reduction and mitigation.
The assessment literature cited in
EPA’s 2009 and 2016 Endangerment and
Cause or Contribute Findings, as well as
Impacts of Climate Change on Human
Health, also concluded that certain
populations and life stages, including
children, are most vulnerable to climaterelated health effects.911 The assessment
literature produced from 2016 to the
present strengthens these conclusions
by providing more detailed findings
regarding related vulnerabilities and the
projected impacts youth may
experience. These assessments—
including the NCA4 and The Impacts of
Climate Change on Human Health in
the United States (2016)—describe how
children’s unique physiological and
developmental factors contribute to
making them particularly vulnerable to
climate change. Impacts to children are
expected from heat waves, air pollution,
infectious and waterborne illnesses, and
mental health effects resulting from
extreme weather events. In addition,
children are among those especially
susceptible to allergens, as well as
health effects associated with heat
waves, storms, and floods. Additional
health concerns may arise in lowincome households, especially those
with children, if climate change reduces
food availability and increases prices,
leading to food insecurity within
households.
The Impacts of Climate Change on
Human Health 912 also found that some
communities of color, low-income
groups, people with limited English
proficiency, and certain immigrant
groups (especially those who are
undocumented) live with many of the
factors that contribute to their
vulnerability to the health impacts of
climate change. While difficult to isolate
from related socioeconomic factors, race
appears to be an important factor in
911 74 FR 66496, December 15, 2009; 81 FR 54422,
August 15, 2016.
912 USGCRP, 2016: The Impacts of Climate
Change on Human Health in the United States: A
Scientific Assessment. Crimmins, A., J. Balbus, J.L.
Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J. Eisen,
N. Fann, M.D. Hawkins, S.C. Herring, L.
Jantarasami, D.M. Mills, S. Saha, M.C. Sarofim, J.
Trtanj, and L. Ziska, Eds. U.S. Global Change
Research Program, Washington, DC, 312 pp. https://
dx.doi.org/10.7930/J0R49NQX.
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vulnerability to climate-related stress,
with elevated risks for mortality from
high temperatures reported for Black or
African American individuals compared
to White individuals after controlling
for factors such as air conditioning use.
Moreover, people of color are
disproportionately exposed to air
pollution based on where they live, and
disproportionately vulnerable due to
higher baseline prevalence of
underlying diseases such as asthma, so
climate exacerbations of air pollution
are expected to have disproportionate
effects on these communities.
Native American Tribal communities
possess unique vulnerabilities to
climate change, particularly those
impacted by degradation of natural and
cultural resources within established
reservation boundaries and threats to
traditional subsistence lifestyles. Tribal
communities whose health, economic
well-being, and cultural traditions
depend upon the natural environment
will likely be affected by the
degradation of ecosystem goods and
services associated with climate change.
The IPCC indicates that losses of
customs and historical knowledge may
cause communities to be less resilient or
adaptable.913 The NCA4 noted that
while Indigenous peoples are diverse
and will be impacted by the climate
changes universal to all Americans,
there are several ways in which climate
change uniquely threatens Indigenous
peoples’ livelihoods and economies.914
In addition, there can institutional
barriers to their management of water,
land, and other natural resources that
could impede adaptive measures.
For example, Indigenous agriculture
in the Southwest is already being
adversely affected by changing patterns
of flooding, drought, dust storms, and
rising temperatures leading to increased
soil erosion, irrigation water demand,
and decreased crop quality and herd
sizes. The Confederated Tribes of the
Umatilla Indian Reservation in the
Northwest have identified climate risks
to salmon, elk, deer, roots, and
huckleberry habitat. Housing and
sanitary water supply infrastructure are
vulnerable to disruption from extreme
precipitation events.
913 Porter et al., 2014: Food security and food
production systems.
914 Jantarasami, L.C., R. Novak, R. Delgado, E.
Marino, S. McNeeley, C. Narducci, J. RaymondYakoubian, L. Singletary, and K. Powys Whyte,
2018: Tribes and Indigenous Peoples. In Impacts,
Risks, and Adaptation in the United States: Fourth
National Climate Assessment, Volume II
[Reidmiller, D.R., C.W. Avery, D.R. Easterling, K.E.
Kunkel, K.L.M. Lewis, T.K. Maycock, and B.C.
Stewart (eds.)]. U.S. Global Change Research
Program, Washington, DC, USA, pp. 572–603. doi:
10.7930/NCA4.2018.CH15.
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NCA4 noted that Indigenous peoples
often have disproportionately higher
rates of asthma, cardiovascular disease,
Alzheimer’s, diabetes, and obesity,
which can all contribute to increased
vulnerability to climate-driven extreme
heat and air pollution events. These
factors also may be exacerbated by
stressful situations, such as extreme
weather events, wildfires, and other
circumstances.
NCA4 and IPCC Fifth Assessment
Report also highlighted several impacts
specific to Alaskan Indigenous Peoples.
Permafrost thaw will lead to more
coastal erosion, exacerbated risks of
winter travel, and damage to buildings,
roads, and other infrastructure—these
impacts on archaeological sites,
structures, and objects will lead to a loss
of cultural heritage for Alaska’s
Indigenous people. In terms of food
security, the NCA4 discussed reductions
in suitable ice conditions for hunting,
warmer temperatures impairing the use
of traditional ice cellars for food storage,
and declining shellfish populations due
to warming and acidification. While the
NCA also noted that climate change
provided more opportunity to hunt from
boats later in the fall season or earlier
in the spring, the assessment found that
the net impact was an overall decrease
in food security.
In addition, the U.S. Pacific Islands
and the indigenous communities that
live there are also uniquely vulnerable
to the effects of climate change due to
their remote location and geographic
isolation. They rely on the land, ocean,
and natural resources for their
livelihoods, but they face challenges in
obtaining energy and food supplies that
need to be shipped in at high costs. As
a result, they face higher energy costs
than the rest of the nation and depend
on imported fossil fuels for electricity
generation and diesel. These challenges
exacerbate the climate impacts that the
Pacific Islands are experiencing. NCA4
notes that Indigenous peoples of the
Pacific are threatened by rising sea
levels, diminishing freshwater
availability, and negative effects to
ecosystem services that threaten these
individuals’ health and well-being.
2. Non-GHG Impacts
In Section V.B., in addition to GHG
emissions impacts, we also discuss
potential additional impacts to
emissions of non-GHGs (i.e., criteria and
air toxic pollutants) that we estimate
would result from compliance with the
proposed GHG emission standards. This
section VI.D.2 describes evidence that
communities with EJ concerns are
disproportionately impacted by the nonGHG emissions affected by this rule.
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Numerous studies have found that
environmental hazards such as air
pollution are more prevalent in areas
where people of color and low-income
populations represent a higher fraction
of the population compared with the
general population.915 916 917 Consistent
with this evidence, a recent study found
that most anthropogenic sources of
PM2.5, including industrial sources and
light- and heavy-duty vehicle sources,
disproportionately affect people of
color.918 In addition, compared to nonHispanic Whites, some other racial
groups experience greater levels of
health problems during some life stages.
For example, in 2018–2020, about 12
percent of non-Hispanic Black; 9
percent of non-Hispanic American
Indian/Alaska Native; and 7 percent of
Hispanic children were estimated to
currently have asthma, compared with 6
percent of non-Hispanic White
children.919 Nationally, on average, nonHispanic Black and Non-Hispanic
American Indian or Alaska Native
people also have lower than average life
expectancy based on 2019 data, the
latest year for which CDC estimates are
available.920
We discuss near-roadway issues in
Section VI.D.2.i and upstream sources
in Section VI.D.2.ii.
i. Near-Roadway Analysis
As described in Section VI.B of this
preamble, concentrations of many air
pollutants are elevated near high-traffic
roadways. We recently conducted an
analysis of the populations within the
CONUS living in close proximity to
truck freight routes as identified in
USDOT’s FAF4.921 FAF4 is a model
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915 Rowangould,
G.M. (2013) A census of the
near-roadway population: public health and
environmental justice considerations. Trans Res D
25: 59–67. https://dx.doi.org/10.1016/j.trd.2013.
08.003.
916 Marshall, J.D., Swor, K.R.; Nguyen, N.P (2014)
Prioritizing environmental justice and equality:
diesel emissions in Southern California. Environ
Sci Technol 48: 4063–4068. https://doi.org/10.1021/
es405167f.
917 Marshall, J.D. (2008) Environmental
inequality: air pollution exposures in California’s
South Coast Air Basin. Atmos Environ 21: 5499–
5503. https://doi.org/10.1016/j.atmosenv.
2008.02.005.
918 C. W. Tessum, D. A. Paolella, S. E. Chambliss,
J. S. Apte, J. D. Hill, J. D. Marshall, PM2.5 polluters
disproportionately and systemically affect people of
color in the United States. Sci. Adv. 7, eabf4491
(2021).
919 https://www.cdc.gov/asthma/most_recent_
data.htm.
920 Arias, E. Xu, J. (2022) United States Life
Tables, 2019. National Vital Statistics Report,
Volume 70, Number 19. [Online at https://
www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr7019.pdf].
921 U.S. EPA (2021). Estimation of Population
Size and Demographic Characteristics among
People Living Near Truck Routes in the
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from the USDOT’s Bureau of
Transportation Statistics (BTS) and
Federal Highway Administration
(FHWA), which provides data
associated with freight movement in the
United States 922 Relative to the rest of
the population, people living near FAF4
truck routes are more likely to be people
of color and have lower incomes than
the general population. People living
near FAF4 truck routes are also more
likely to live in metropolitan areas. Even
controlling for region of the country,
county characteristics, population
density, and household structure, race,
ethnicity, and income are significant
determinants of whether someone lives
near a FAF4 truck route.
We additionally analyzed other
national databases that allowed us to
evaluate whether homes and schools
were located near a major road and
whether disparities in exposure may be
occurring in these environments. Until
2009, the U.S. Census Bureau’s
American Housing Survey (AHS)
included descriptive statistics of over
70,000 housing units across the nation
and asked about transportation
infrastructure near respondents’ homes
every two years.923 924 We also analyzed
the U.S. Department of Education’s
Common Core of Data, which includes
enrollment and location information for
schools across the United States.925
In analyzing the 2009 AHS, we
focused on whether a housing unit was
located within 300 feet of a ‘‘4-or-more
lane highway, railroad, or airport’’ (this
distance was used in the AHS
analysis).926 We analyzed whether there
were differences between households in
Conterminous United States. Memorandum to the
Docket.
922 FAF4 includes data from the 2012 Commodity
Flow Survey (CFS), the Census Bureau on
international trade, as well as data associated with
construction, agriculture, utilities, warehouses, and
other industries. FAF4 estimates the modal choices
for moving goods by trucks, trains, boats, and other
types of freight modes. It includes traffic
assignments, including truck flows on a network of
truck routes. https://ops.fhwa.dot.gov/freight/
freight_analysis/faf/.
923 U.S. Department of Housing and Urban
Development, & U.S. Census Bureau. (n.d.). Age of
other residential buildings within 300 feet. In
American Housing Survey for the United States:
2009 (pp. A–1). Retrieved from https://
www.census.gov/programs-surveys/ahs/data/2009/
ahs-2009-summary-tables0/h150-09.html.
924 The 2013 AHS again included the ‘‘etrans’’
question about highways, airports, and railroads
within half a block of the housing unit but has not
maintained the question since then.
925 https://nces.ed.gov/ccd/.
926 This variable primarily represents roadway
proximity. According to the Central Intelligence
Agency’s World Factbook, in 2010, the United
States had 6,506,204 km of roadways, 224,792 km
of railways, and 15,079 airports. Highways thus
represent the overwhelming majority of
transportation facilities described by this factor in
the AHS.
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such locations compared with those in
locations farther from these
transportation facilities.927 We included
other variables, such as land use
category, region of country, and housing
type. We found that homes with a nonWhite householder were 22–34 percent
more likely to be located within 300 feet
of these large transportation facilities
than homes with White householders.
Homes with a Hispanic householder
were 17–33 percent more likely to be
located within 300 feet of these large
transportation facilities than homes
with non-Hispanic householders.
Households near large transportation
facilities were, on average, lower in
income and educational attainment and
more likely to be a rental property and
located in an urban area compared with
households more distant from
transportation facilities.
In examining schools near major
roadways, we used the Common Core of
Data (CCD) from the U.S. Department of
Education, which includes information
on all public elementary and secondary
schools and school districts
nationwide.928 To determine school
proximities to major roadways, we used
a geographic information system (GIS)
to map each school and roadways based
on the U.S. Census’s TIGER roadway
file.929 We estimated that about 10
million students attend schools within
200 meters of major roads, about 20
percent of the total number of public
school students in the United States.930
About 800,000 students attend public
schools within 200 meters of primary
roads, or about 2 percent of the total. We
found that students of color were
overrepresented at schools within 200
meters of primary roadways, and
schools within 200 meters of primary
roadways had a disproportionate
population of students eligible for free
or reduced-price lunches.931 Black
927 Bailey, C. (2011) Demographic and Social
Patterns in Housing Units Near Large Highways and
other Transportation Sources. Memorandum to
docket.
928 https://nces.ed.gov/ccd/.
929 Pedde, M.; Bailey, C. (2011) Identification of
Schools within 200 Meters of U.S. Primary and
Secondary Roads. Memorandum to the docket.
930 Here, ‘‘major roads’’ refer to those TIGER
classifies as either ‘‘Primary’’ or ‘‘Secondary.’’ The
Census Bureau describes primary roads as
‘‘generally divided limited-access highways within
the Federal interstate system or under state
management.’’ Secondary roads are ‘‘main arteries,
usually in the U.S. highway, state highway, or
county highway system.’’
931 For this analysis we analyzed a 200-meter
distance based on the understanding that roadways
generally influence air quality within a few
hundred meters from the vicinity of heavily
traveled roadways or along corridors with
significant trucking traffic. See U.S. EPA, 2014.
Near Roadway Air Pollution and Health: Frequently
Asked Questions. EPA–420–F–14–044.
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students represent 22 percent of
students at schools located within 200
meters of a primary road, compared to
17 percent of students in all U.S.
schools. Hispanic students represent 30
percent of students at schools located
within 200 meters of a primary road,
compared to 22 percent of students in
all U.S. schools.
We also reviewed existing scholarly
literature examining the potential for
disproportionate exposure among
people of color and people with low
socioeconomic status (SES). Numerous
studies evaluating the demographics
and socioeconomic status of
populations or schools near roadways
have found that they include a greater
percentage of residents of color, as well
as lower SES populations (as indicated
by variables such as median household
income). Locations in these studies
include Los Angeles, CA; Seattle, WA;
Wayne County, MI; Orange County, FL;
and the State of California, and
nationally.932 933 934 935 936 937 938 Such
disparities may be due to multiple
factors.939 940 941 942 943
932 Marshall, J.D. (2008) Environmental
inequality: air pollution exposures in California’s
South Coast Air Basin. Atmos Environ 42: 5499–
5503. doi:10.1016/j.atmosenv.2008.02.00.
933 Su, J.G.; Larson, T.; Gould, T.; Cohen, M.;
Buzzelli, M. (2010) Transboundary air pollution
and environmental justice: Vancouver and Seattle
compared. GeoJournal 57: 595–608. doi:10.1007/
s10708–009–9269–6.
934 Chakraborty, J.; Zandbergen, P.A. (2007)
Children at risk: measuring racial/ethnic disparities
in potential exposure to air pollution at school and
home. J Epidemiol Community Health 61: 1074–
1079. doi:10.1136/jech.2006.054130.
935 Green, R.S.; Smorodinsky, S.; Kim, J.J.;
McLaughlin, R.; Ostro, B. (20042004) Proximity of
California public schools to busy roads. Environ
Health Perspect 112: 61–66. doi:10.1289/ehp.6566.
936 Wu, Y; Batterman, S.A. (2006) Proximity of
schools in Detroit, Michigan to automobile and
truck traffic. J Exposure Sci & Environ Epidemiol.
doi:10.1038/sj.jes.7500484.
937 Su, J.G.; Jerrett, M.; de Nazelle, A.; Wolch, J.
(2011) Does exposure to air pollution in urban parks
have socioeconomic, racial, or ethnic gradients?
Environ Res 111: 319–328.
938 Jones, M.R.; Diez-Roux, A.; Hajat, A.; et al.
(2014) Race/ethnicity, residential segregation, and
exposure to ambient air pollution: The Multi-Ethnic
Study of Atherosclerosis (MESA). Am J Public
Health 104: 2130–2137. [Online at: https://doi.org/
10.2105/AJPH.2014.302135.].
939 Depro, B.; Timmins, C. (2008) Mobility and
environmental equity: do housing choices
determine exposure to air pollution? Duke
University Working Paper.
940 Rothstein, R. The Color of Law: A Forgotten
History of How Our Government Segregated
America. New York: Liveright, 2018.
941 Lane, H.J.; Morello-Frosch, R.; Marshall, J.D.;
Apte, J.S. (2022) Historical redlining is associated
with present-day air pollution disparities in US
Cities. Environ Sci & Technol Letters 9: 345–350.
DOI: [Online at: https://doi.org/10.1021/acs.estlett.
1c01012].
942 Ware, L. (2021) Plessy’s legacy: the
government’s role in the development and
perpetuation of segregated neighborhoods. RSF: The
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Additionally, people with low SES
often live in neighborhoods with
multiple stressors and health risk
factors, including reduced health
insurance coverage rates, higher
smoking and drug use rates, limited
access to fresh food, visible
neighborhood violence, and elevated
rates of obesity and some diseases such
as asthma, diabetes, and ischemic heart
disease. Although questions remain,
several studies find stronger
associations between air pollution and
health in locations with such chronic
neighborhood stress, suggesting that
populations in these areas may be more
susceptible to the effects of air
pollution.944 945 946 947
Several publications report
nationwide analyses that compare the
demographic patterns of people who do
or do not live near major
roadways.948 949 950 951 952 953 Three of
Russel Sage Foundation Journal of the Social
Sciences, 7:92–109. DOI: DOI: 10.7758/
RSF.2021.7.1.06.
943 Archer, D.N. (2020) ‘‘White Men’s Roads
through Black Men’s Homes’’: advancing racial
equity through highway reconstruction. Vanderbilt
Law Rev 73: 1259.
944 Clougherty, J.E.; Kubzansky, L.D. (2009) A
framework for examining social stress and
susceptibility to air pollution in respiratory health.
Environ Health Perspect 117: 1351–1358.
Doi:10.1289/ehp.0900612.
945 Clougherty, J.E.; Levy, J.I.; Kubzansky, L.D.;
Ryan, P.B.; Franco Suglia, S.; Jacobson Canner, M.;
Wright, R.J. (2007) Synergistic effects of trafficrelated air pollution and exposure to violence on
urban asthma etiology. Environ Health Perspect
115: 1140–1146. doi:10.1289/ehp.9863.
946 Finkelstein, M.M.; Jerrett, M.; DeLuca, P.;
Finkelstein, N.; Verma, D.K.; Chapman, K.; Sears,
M.R. (2003) Relation between income, air pollution
and mortality: a cohort study. Canadian Med Assn
J 169: 397–402.
947 Shankardass, K.; McConnell, R.; Jerrett, M.;
Milam, J.; Richardson, J.; Berhane, K. (2009)
Parental stress increases the effect of traffic-related
air pollution on childhood asthma incidence. Proc
Natl Acad Sci 106: 12406–12411. doi:10.1073/
pnas.0812910106.
948 Rowangould, G.M. (2013) A census of the U.S.
near-roadway population: public health and
environmental justice considerations.
Transportation Research Part D; 59–67.
949 Tian, N.; Xue, J.; Barzyk. T.M. (2013)
Evaluating socioeconomic and racial differences in
traffic-related metrics in the United States using a
GIS approach. J Exposure Sci Environ Epidemiol
23: 215–222.
950 CDC (2013) Residential proximity to major
highways—United States, 2010. Morbidity and
Mortality Weekly Report 62(3): 46–50.
951 Clark, L.P.; Millet, D.B., Marshall, J.D. (2017)
Changes in transportation-related air pollution
exposures by race-ethnicity and socioeconomic
status: outdoor nitrogen dioxide in the United
States in 2000 and 2010. Environ Health Perspect
https://doi.org/10.1289/EHP959.
952 Mikati, I.; Benson, A.F.; Luben, T.J.; Sacks,
J.D.; Richmond-Bryant, J. (2018) Disparities in
distribution of particulate matter emission sources
by race and poverty status. Am J Pub Health https://
ajph.aphapublications.org/doi/abs/10.2105/
AJPH.2017.304297?journalCode=ajph.
953 Alotaibi, R.; Bechle, M.; Marshall, J.D.;
Ramani, T.; Zietsman, J.; Nieuwenhuijsen, M.J.;
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these studies found that people living
near major roadways are more likely to
be people of color or of low
SES.954 955 956 They also found that the
outcomes of their analyses varied
between regions within the United
States. However, only one such study
looked at whether such conclusions
were confounded by living in a location
with higher population density and how
demographics differ between locations
nationwide.957 In general, it found that
higher density areas have higher
proportions of low-income residents
and people of color. In other
publications assessing a city, county, or
state, the results are similar.958 959
Two recent studies provide strong
evidence that reducing emissions from
heavy-duty vehicles is extremely likely
to reduce the disparity in exposures to
traffic-related air pollutants, both using
NO2 observations from the recently
launched TROPospheric Ozone
Monitoring Instrument (TROPOMI)
satellite sensor as a measure of air
quality, which provides the highestresolution observations heretofore
unavailable from any satellite.960
One study evaluated NO2
concentrations during the COVID–19
lockdowns in 2020 and compared them
to NO2 concentrations from the same
dates in 2019.961 That study found that
Khreis, H. (2019) Traffic related air pollution and
the burden of childhood asthma in the continuous
United States in 2000 and 2010. Environ
International 127: 858–867. https://www.science
direct.com/science/article/pii/S0160412018325388.
954 Tian, N.; Xue, J.; Barzyk. T.M. (2013)
Evaluating socioeconomic and racial differences in
traffic-related metrics in the United States using a
GIS approach. J Exposure Sci Environ Epidemiol
23: 215–222.
955 Rowangould, G.M. (2013) A census of the U.S.
near-roadway population: public health and
environmental justice considerations.
Transportation Research Part D; 59–67.
956 CDC (2013) Residential proximity to major
highways—United States, 2010. Morbidity and
Mortality Weekly Report 62(3): 46–50.
957 Rowangould, G.M. (2013) A census of the U.S.
near-roadway population: public health and
environmental justice considerations.
Transportation Research Part D; 59–67.
958 Pratt, G.C.; Vadali, M.L.; Kvale, D.L.;
Ellickson, K.M. (2015) Traffic, air pollution,
minority, and socio-economic status: addressing
inequities in exposure and risk. Int J Environ Res
Public Health 12: 5355–5372. https://dx.doi.org/
10.3390/ijerph120505355.
959 Sohrabi, S.; Zietsman, J.; Khreis, H. (2020)
Burden of disease assessment of ambient air
pollution and premature mortality in urban areas:
the role of socioeconomic status and transportation.
Int J Env Res Public Health doi:10.3390/
ijerph17041166.
960 TROPospheric Ozone Monitoring Instrument
(TROPOMI) is part of the Copernicus Sentinel-5
Precursor satellite.
961 Kerr, G.H.; Goldberg, D.L.; Anenberg, S.C.
(2021) COVID–19 pandemic reveals persistent
disparities in nitrogen dioxide pollution. PNAS
118. [Online at https://doi.org/10.1073/pnas.
2022409118].
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average NO2 concentrations were
highest in areas with the lowest
percentage of white populations, and
that the areas with the greatest
percentages of non-white or Hispanic
populations experienced the greatest
declines in NO2 concentrations during
the lockdown. These NO2 reductions
were associated with the density of
highways in the local area.
In the second study, NO2 measured
from 2018–2020 was averaged by racial
groups and income levels in 52 large
U.S. cities.962 Using census tract-level
NO2, the study reported average
population-weighted NO2 levels to be 28
percent higher for low-income nonWhite people compared with highincome white people. The study also
used weekday-weekend differences and
bottom-up emission estimates to
estimate that diesel traffic is the
dominant source of NO2 disparities in
the studied cities.
Overall, there is substantial evidence
that people who live or attend school
near major roadways are more likely to
be of a non-White race, Hispanic, and/
or have a low SES. We expect
communities near roads will benefit
from the reduced tailpipe emissions of
PM, NOX, SO2, VOC, CO, and mobile
source air toxics from heavy-duty
vehicles in this proposal. EPA is
considering how to better estimate the
near-roadway air quality impacts of its
regulatory actions and how those
impacts are distributed across
populations.
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ii. Upstream Source Impacts
As described in Section V.B.2, we
expect some non-GHG emissions
reductions from sources related to
refining petroleum fuels and increases
in emissions from EGUs, both of which
would lead to changes in exposure for
people living in communities near these
facilities. The EGU emissions increases
become smaller over time because of
changes in the projected power
generation mix as electricity generation
uses less fossil fuels; in 2055, the
reductions in vehicle and refineryrelated emissions of NOX, VOC, PM2.5,
and SO2 are larger than the EGU-related
increases. Analyses of communities in
close proximity to EGUs have found that
a higher percentage of communities of
color and low-income communities live
near these sources when compared to
962 Demetillo, M.A.; Harkins, C.; McDonald, B.C.;
et al. (2021) Space-based observational constraints
on NO2 air pollution inequality from diesel traffic
in major US cities. Geophys Res Lett 48,
e2021GL094333. [Online at https://doi.org/10.1029/
2021GL094333].
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national averages.963 Analysis of
populations near refineries also
indicates there may be potential
disparities in pollution-related health
risk from that source.964
E. Economic Impacts
1. Impacts on Vehicle Sales, Fleet
Turnover, Mode Shift, Class Shift and
Domestic Production
In this section, we qualitatively
discuss the impacts the proposed
regulation may have on HD vehicle
sales, including pre-buy and low-buy
decisions, effects on decisions regarding
the mode of transportation used to move
goods, possible shifting of purchases
between HD vehicle classes, and
possible effects on domestic production
of HD vehicles. Pre-buy occurs when a
purchaser pulls ahead a planned future
purchase to make the purchase prior to
the implementation of an EPA
regulation in anticipation that a future
vehicle may have a higher upfront cost,
a higher operational cost, or have
reduced reliability due to the new
regulation. Low-buy occurs when a
vehicle that would have been purchased
after the implementation of a regulation
is either not purchased at all, or the
purchase is delayed due to the
regulation. Low-buy may occur directly
as a function of pre-buy (where a
vehicle was instead purchased prior to
implementation of the new regulation),
or due to a vehicle purchaser delaying
the purchase of a vehicle due to cost or
uncertainty. Pre- and low-buy are shortterm effects, with research indicating
that effects are seen for one year or less
before and after a regulation in
implemented.965 Pre-buy and low-buy
impact fleet turnover, which can result
in a level of emission reduction
attributable to the new emission
standards that is different from the level
of emission reduction EPA estimated
would be achieved by the new
regulation.
Additional possible, though unlikely,
effects of this proposed regulation
include mode shift, class shift and
effects on domestic production. Mode
shift would occur if goods that would
normally be shipped by HD vehicle are
instead shipped by another method
963 See 80 FR 64662, 64915–64916 (October 23,
2015).
964 U.S. EPA (2014). Risk and Technology
Review—Analysis of Socio-Economic Factors for
Populations Living Near Petroleum Refineries.
Office of Air Quality Planning and Standards,
Research Triangle Park, North Carolina. January.
965 See the EPA report ‘‘Analysis of Heavy-Duty
Vehicle Sales Impacts Due to New Regulation’’ at
https://cfpub.epa.gov/si/si_public_pra_
view.cfm?dirEntryID=349838&Lab=OTAQ for a
literature review and EPA analysis of pre-buy and
low-buy due to HD regulations.
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(e.g., rail, boat, air) as a result of this
action. Class shift occurs when a vehicle
purchaser decides to purchase a
different class of vehicle than originally
intended due to the new regulation. For
example, a purchaser may buy a Class
8 vehicle instead of the Class 7 vehicle
they may have purchased in the absence
of a regulation. Domestic production
could be affected if the regulation
creates incentives for manufacturers to
shift between domestic and foreign
production.
i. Vehicle Sales and Fleet Turnover
The proposed emission standards may
lead to a change in the timing of
planned vehicle purchases, phenomena
known as ‘‘pre-buy’’ and ‘‘low-buy.’’
Pre-buy occurs when purchasers of HD
vehicles pull their planned future
vehicle purchase forward to the months
before a regulation is implemented
compared to when they otherwise
would have purchased a new vehicle in
the absence of the regulation. Pre-buy
may occur due to expected cost
increases of post-regulation vehicles, or
in order to avoid perceived cost, quality,
or other changes associated with new
emission standards. Another reason prebuy might occur is due to purchaser
beliefs about the availability of their
vehicle type of choice in the postregulation market. For example, if
purchasers think that they might not be
able to get the HD ICE vehicle they want
after the proposed regulation is
promulgated, they may pre-buy an ICE
vehicle. Pre-buy, to the extent it might
occur, could be mitigated in multiple
ways, including by reducing the higher
upfront cost of post-regulation vehicles,
by purchasers considering the lower
operational costs of post-regulation
vehicles when making their purchase
decision, or through the phasing in of
the proposed standards. With respect to
possible purchaser anxiety over being
unable to purchase an ICE vehicle after
promulgation of the proposed
regulation, we expect that the federal
vehicle and battery tax credits in the
IRA, as well as purchasers’
consideration of the lower operational
costs of ZEVs, would mitigate possible
pre-buy by reducing the perceived
purchase price or lifetime operational
costs difference of a new, post-rule ZEV
compared to a new pre- or post-rule ICE
vehicle. Additionally, pre-buy may be
mitigated by educating purchasers on
benefits of ZEV ownership (for example,
reduced operational costs) or on
charging and hydrogen refueling
infrastructure technology and
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availability.966 Our proposed standards
will increase purchaser exposure to
ZEVs, as well as incentivize
manufacturers and dealers to educate
HD vehicle purchasers on ZEVs,
including the benefits of ZEVs,
accelerating the reduction of purchaser
risk aversion. In addition, we expect
recent congessional actions to support
ZEV infrastructure and supply chain,
including the CHIPS Act, BIL and IRA,
will reduce uncertainty related to
infrastructure.967 We note that the
proposed standards do not mandate the
use of a specific technology, and EPA
anticipates that a compliant fleet under
the proposed standards would include a
diverse range of technologies, including
ICE and ZEV technologies. The phasingin of the proposed standards, which do
not eliminate any specific technology
from the market, would allow ample
time for purchasers to make decisions
about their vehicle of choice.
In addition to pre-buy, there is the
possibility of ‘‘low-buy’’ occurring in
response to new regulation. In a lowbuy scenario, sales of HD vehicles
would decrease in the months after a
regulation becomes effective, compared
to what would have happened in the
absence of a regulation, due to
purchasers either pre-buying or delaying
a planned purchase. Low-buy may be
directly attributable to pre-buy, where
purchases originally planned for the
months following the effective date of
new emission standards are instead
purchased in the months preceding the
effective date of the new emission
standards. Low-buy may also be
attributable to purchasers delaying the
planned purchase of a new vehicle due
to the new emission standards, and may
occur for reasons such as increased
costs or uncertainty about the new
vehicles. If pre-buy is smaller than lowbuy, to the extent both might occur, this
would lead to a slower fleet turnover, at
least in the short term.968 In this
966 For more information on purchaser acceptance
of HD ZEVs, see DRIA Chapter 6.2. For more
information on the charging and hydrogen refueling
infrastructure analysis in this proposed rule, see
DRIA Chapter 2.6.
967 The CHIPS Act is the Creating Helpful
Incentives to Produce Semiconductors and Science
Act and was signed into lay on August 9, 2022. It
is designed to strengthen supply chains, domestic
manufacturing and national security. More
information on how all of these Acts are expected
to support opportunities for growth along the
supply chain can be found in the January 2023
White House publication ‘‘Building a Clean Energy
Economy: A Guidebook to the Inflation Reduction
Act’s Investments in Clean Energy and Climate
Action.’’ found online at https://
www.whitehouse.gov/wp-content/uploads/2022/12/
Inflation-Reduction-Act-Guidebook.pdf.
968 Fleet turnover refers to the pace at which new
vehicles are purchased and older vehicles are
retired. A slower fleet turnover means older
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scenario, older HD vehicles would
remain in use longer than they would
have in the absence of the new emission
standards. This would lead to lower
emission reductions than we estimate
would be achieved as a result of the
proposed emission standards.
Conversely, if pre-buy is larger than
low-buy, short-term fleet turnover
would increase; fleets would, on
average, be comprised of newer model
year vehicles. Though these new
vehicles are expected to have lower
emissions than the vehicles they are
replacing, and emission reductions
would be expected to be larger than
under a scenario where low-buy exceeds
pre-buy, emission reductions would still
be lower than we estimated would be
achieved as a result of the proposed
emission standards. Under a situation
where low-buy matches pre-buy, we
would also expect lower emission
reductions than estimated, and emission
reductions would likely be somewhere
between the two relative pre-buy/lowbuy scenarios discussed in the previous
paragraph. We expect low-buy, to the
extent that it might occur, to be
mitigated under the same circumstances
described in this section for pre-buy.
Analysis of previously promulgated
EPA HD emission standards indicates
that where pre-buy or low-buy has been
seen, the magnitude of these
phenomena has been small.969 Recent
analysis conducted by EPA of pre-buy
and low-buy indicates that pre-buy and
low-buy effects typically occur for up to
one year before or one year after a
regulation becomes effective, if pre-buy
or low-buy occur at all.970 EPA
contracted with ERG to complete a
literature review of research estimating
HD vehicle sales impacts resulting from
HD regulations, and to conduct original
research to estimate the existence and
magnitude of pre-buy and low-buy sales
impacts of previous EPA HD
regulations.971 The resulting analysis
examined the effect of four HD
regulations (those that became effective
in 2004, 2007, 2010 and 2014) on the
vehicles are kept on the road longer, and the fleet
is older on average. A faster fleet turnover means
that the fleet is younger, on average.
969 For example, Lam and Bausell (YEAR),
Rittenhouse and Zaragoza-Watkins (YEAR), and an
unpublished report by Harrison and LeBel (2008).
For EPA’s summary on these studies, see the EPA
peer review cited in the footnote below, or the
recently published EPA Heavy-Duty 2027 rule at
Docket ID EPA–HQ–2019–0555.
970 ‘‘Analysis of Heavy-Duty Vehicle Sales
Impacts Due to New Regulation.’’ At https://
cfpub.epa.gov/si/si_public_pra_view.cfm?
dirEntryID=349838&Lab=OTAQ.
971 ‘‘Analysis of Heavy-Duty Vehicle Sales
Impacts Due to New Regulation.’’ At https://
cfpub.epa.gov/si/si_public_pra_view.cfm?
dirEntryID=349838&Lab=OTAQ.
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sales of Class 6, 7 and 8 vehicles over
the twelve months before and after each
standard. For the purposes of this
discussion, we will call these the 2004
rule, 2007 rule, 2010 rule and 2014 rule.
The 2004, 2007 and 2010 rules focused
on reducing criteria pollutant emissions
from HD vehicles and engines, and the
2014 rule (the HD GHG Phase 1 rule
promulgated in 2014) focused on
reducing GHG emissions from HD
vehicles and engines.972 The ERG report
found little evidence of pre-buy or lowbuy sales impacts on Class 6 and 7
vehicles for any of the rules. For Class
8 vehicles, evidence of pre-buy was
found for up to eight months before
promulgation of the 2010 rule, as well
as for up to one month prior to
promulgation of the 2014 rule. Evidence
of low-buy was found after
promulgation of the 2002 (up to six
months), 2007 (up to 12 months) and
2010 rules (up to five months). The
results of the ERG report also suggest
that the range of possible results include
a lower bound of zero, or no pre-buy or
low-buy due to EPA rules.
While it is instructive that the ERG
report found little to no pre-buy or lowbuy effects due to our HD rules, EPA
does not believe the approach to
estimate a change in the sales of HD
vehicles before and after the
promulgation of a rule due to the cost
of that rule (as was done in the ERG
report) should be used to estimate sales
effects from this proposed rule for three
main reasons.973 First, as outlined in the
previous paragraph, most of the
statistically significant sales effects in
the ERG report were estimated using
data from criteria pollutant rules (the
2002, 2004 and 2007 rules), which are
not appropriate for use in estimating
effects from HD GHG rules. This is
because differences in how costs are
incurred and benefits are accrued as a
result of HD vehicle criteria pollutant
regulations versus HD GHG regulations
972 The 2004 rule, ‘Final Rule for Control of
Emission of Air Pollution From Highway HeavyDuty Engines’, was finalized in 1997. The 2007 and
2010 rules were finalized as phase-ins in the ‘Final
Rule for Control of Emissions of Air Pollution from
2004 and Later Model Year Heavy-Duty Highway
Engines and Vehicles; Revision of Light-Duty OnBoard Diagnostics Requirements’ in 2000. The 2014
GHG rule, ‘Final Rule for Phase 1 Greenhouse
House Emissions Standards and Fuel Efficiency
Standards for Medium- and Heavy-Duty Engines
and Vehicles,’ was finalized in 2011. These rules
can be found on the EPA website https://
www.epa.gov/regulations-emissions-vehicles-andengines/regulations-emissions-commercial-trucksand-buses-heavy.
973 See the RIA for the HD 2027 rule for an
example of how we might estimate potential
impacts of a HD regulation on vehicle sales,
including pre-buy and low-buy using the approach
introduced in the ERG report. 87 FR 17590. March
28, 2022.
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may lead to differences in how HD
vehicle buyers react to a particular
regulation. For example, the 2014
rule 974 led to reductions in GHG
emissions and had lower associated
technology costs compared to the
criteria pollutant rules, and compliance
with the GHG regulation was associated
with fuel savings. We also expect fuel
savings effects in this proposal, as
described in Section IV. Second, the
pre-buy and low-buy sales effects were
estimated as a function of the average
change in cost of a HD vehicle for each
vehicle class due to the specific rule
under consideration (for example, the
2007 rule or 2014 rule). However, unlike
criteria pollutant rules, there were
multiple pathways to compliance with
2014 rule, and therefore uncertainty in
the price change due to the rule, which
led to uncertainty in the results
estimated using these price changes.
Third, the approach outlined in the ERG
report was estimated only using HD ICE
vehicle data (i.e., cost of compliance due
to adding technology to a HD ICE
engine). The research and methodology
in the ERG report did not include any
data from the production, sale, or
purchase of HD ZEVs. For these reasons,
we are not using the method in the ERG
report to estimate sales effects due to
this rule. We request comment on data
or methods to estimate the possible
effects of this regulation on the sale of
HD ICE vehicles and HD ZEV sales,
including potential impacts associated
with pre-buy and low-buy.
This proposed rulemaking would be
expected to lead to reductions in
emissions across the HD vehicle fleet
(Section V of this preamble), though
such reductions are expected to happen
gradually as the HD fleet turns over.
This is because the fraction of the total
HD vehicle fleet that is new ZEVs would
initially be a small portion of the entire
HD market. As more HD ZEVs are sold,
and as older HD ICE vehicles are retired,
greater emission reductions are
expected to occur. The emission
reductions attributable to each HD
segment that would be affected by this
proposed rule would depend on many
factors, including the individual
increase in ZEV adoption in each
market segment over time, as well as
relative usage, measured in VMT, for a
HD ZEV when compared to a similar HD
ICE vehicle. For example, if ZEV uptake
occurs faster than predicted, emission
reductions would happen faster than
974 ‘Final Rule for Phase 1 Greenhouse House
Emissions Standards and Fuel Efficiency Standards
for Medium- and Heavy-Duty Engines and Vehicles’
can be found at https://www.epa.gov/regulationsemissions-vehicles-and-engines/final-rule-phase-1greenhouse-gas-emissions-standards.
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estimated. If, assuming no change in
total fleet VMT, the VMT attributed to
a HD ZEV is less than that of the HD ICE
vehicle it is displacing, emission
reductions would happen slower than
estimated. In addition, if pre-buy or
low-buy occurs as a result of this
proposed rulemaking, emission
reductions would be smaller than
anticipated. This is because, under prebuy conditions, the pre-bought vehicles
will not be subject to the tighter
emission standards, and are less likely
to be ZEVs; however, the pre-bought
new vehicles are likely to be less
polluting than the older HD vehicles
they are replacing due to more stringent
HD emission standards for new engines
and vehicles (if it is a replacement
purchase). Under low-buy, we would
expect older, more polluting, HD
vehicles would remain in use longer
than they otherwise would in the
absence of new regulation. We expect
pre-buy and low-buy to be very small,
if they occur at all. For more
information on sales impacts, see
Chapter 6.1.1 of the DRIA. We request
comment on data and methods to
estimate possible effects of the proposed
emission standards on fleet turnover
and to estimate the VMT of HD ZEVs in
comparison to HD ICE vehicles.
ii. Mode Shift
Another potential, though unlikely,
effect of this proposed regulation may
be mode shift. Mode shift would occur
if goods that would normally be shipped
by HD vehicle are instead shipped by
another method (e.g., rail, boat, air) as
a result of this action. Whether shippers
switch to a different mode of
transportation for freight depends not
only on the cost per mile of the
shipment (i.e., freight rate), but also the
value of the shipment, the speed of
transport needed for shipment (for
example, for non-durable goods), and
the availability of supporting
infrastructure (e.g., rail lines, highways,
waterways). Shifting from HD vehicles
to other modes of transportation may
occur if the cost of shipping goods by
HD vehicles increases relative to other
modes of transport, and it is feasible to
switch the shipment from truck to
another mode of transport. Chapter 3.3
of the DRIA and Section IV.D of this
preamble discuss the estimated decrease
in operational costs of this proposed
rule, mainly due to the increase in the
share of ZEVs in the on-road HD fleet.
Because the effects of this proposed
action are expected to reduce
operational costs for trucks, we do not
think mode shift would be a likely
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outcome of this proposed regulation.975
We are asking for comment on data and
methods to estimate possible effects of
the proposed emission standards on
mode shift. For more information on
mode shift, see Chapter 6.1.2 of the
DRIA.
iii. Class Shift
Class shift is also a possible effect of
this proposed rule. Class shift would
occur if purchasers shift their purchases
from one class of vehicle to another
class of vehicle due to differences in
cost among vehicle types. We expect
that class shifting, if it does occur,
would be limited. The proposed
emission standards are projected to lead
to an increase in the incremental cost
per vehicle for many classes of vehicles
across both vocational vehicles and
tractor categories before accounting for
the IRA vehicle and battery tax credits.
After accounting for these credits, our
estimates show that this upfront
increase in cost is reduced, and in fact,
we estimate that some vocational
vehicles and tractor ZEVs have lower or
equivalent upfront costs compared to
comparable ICE vehicles. For more
information, see Preamble Section IV.D
or DRIA Chapter 3.4. Furthermore, the
upfront costs for vocational vehicles and
tractors would be offset by operational
cost savings.
Another reason EPA believes class
shift would be limited, if it occurs, is
that HD vehicles are typically
configured and purchased to perform a
specific function. For example, a
concrete mixer is purchased to transport
concrete, or a combination tractor is
purchased to move freight with the use
of a trailer. In addition, a purchaser in
need of a specific vocational vehicle,
such as a bus, box truck or street
sweeper, would not be able to shift the
purchase to a vehicle with a less
stringent emission standard (such as the
optional custom chassis standards for
emergency vehicles, recreational
vehicles, or mixed use (nonroad) type
vehicles) and still meet their needs. The
purchaser makes decisions based on
many attributes of the vehicle, including
the gross vehicle weight rating or gross
combined weight rating of the vehicle,
which in part determines the amount of
freight or equipment that can be carried.
Due to this, it may not be feasible for
purchasers to switch to other vehicle
classes. If a limited amount of shifting
were to occur, we would expect
negligible emission impacts (compared
975 If manufacturers comply by adding technology
to ICE vehicles, we would also expect to see
reduced operational costs through reduced fuel
consumption.
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to those emission reductions estimated
to occur as a result of the proposed
emission standards) because the vehicle
classes that would be feasibly ‘switched’
are all subject to this proposed rule. We
request comment on data or methods to
estimate the effect the proposed
emission standards might have on class
shifting.
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iv. Domestic Production
The proposed emission standards are
not expected to provide incentives for
manufacturers to shift between domestic
and foreign production. This is because
the emission standards apply to vehicles
sold in the United States regardless of
where such vehicles are produced. If
foreign manufacturers already have
increased expertise in satisfying the
requirements of the emission standards,
there may be some initial incentive for
foreign production. However, given
increasing global interest in reducing
vehicle emissions, specifically through
the use of ZEVs, as domestic
manufacturers produce vehicles with
reduced emissions, including ZEVs, the
opportunity for domestic manufacturers
to sell in other markets might increase.
To the extent that the proposed
emission standards might lead to
application and use of technologies that
other countries may seek now or in the
future, developing this capacity for
domestic producers now may provide
some additional ability to serve those
markets.
As discussed in Preamble Section 1.C,
and DRIA Chapter 1, the IRA contains
tax credit incentives that are impacted
by the location of production and may
encourage domestic production of ZEV
vehicles or components. A portion of
these tax incentives are included in our
cost analysis for the proposed rule, as
describe in Section IV, and DRIA
Chapter 3. We request comment on
whether our standards would impact
the domestic production of HD vehicle
components.
2. Purchaser Acceptance
We expect this proposed rule to lead
to an increase in the adoption of HD
BEVs and FCEVs for most HD vehicle
types beginning in MY 2027 (see
Section II of this preamble or DRIA
Chapter 2 for details). Businesses that
operate HD vehicles are under
competitive pressure to reduce
operating costs, which should
encourage purchasers to identify and
rapidly adopt new vehicle technologies
that reduce operating costs. As outlays
for labor and fuel generally constitute
the two largest shares of HD vehicle
operating costs, depending on the price
of fuel, distance traveled, type of HD
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vehicle, and commodity transported (if
any), businesses that operate HDVs face
strong incentives to reduce these
costs.976 977 As explained in Section IV
and Chapter 3 of the DRIA, though HD
ZEVs in general have higher upfront
costs than comparable ICE vehicles, our
costs analysis shows that the
incremental upfront cost difference
between a ZEV and a comparable ICE
vehicle would be partially or fully offset
by a combination of the federal vehicle
tax credit and battery tax credit for HD
ZEVs that are available through MY
2032 and operational savings.978 For the
vehicle types for which we propose new
CO2 emission standards, we expect that
the ZEVs will have a lower total cost of
ownership when compared to a
comparable ICE vehicle (even after
considering the upfront cost of
purchasing the associated EVSE for a
BEV), due to the expected cost savings
in fuel, maintenance, and repair over
the life of the HD ZEV when compared
to comparable ICE vehicle. See Section
IV of this preamble and Chapter 3 of the
DRIA for more information on the
estimated costs of this proposed rule.
In DRIA Chapter 6.2, we discuss the
possibility that an ‘‘energy efficiency
gap’’ or ‘‘energy paradox’’ has existed,
where available technologies that would
reduce the total cost of ownership for
the vehicle (when evaluated over their
expected lifetimes using conventional
discount rates) have not been widely
adopted, or the adoption is relatively
slow, despite their potential to repay
buyers’ initial investments rapidly. We
recognize that there are factors that may
impact adoption of HD ZEVs, including
uncertainty related to the technology
and supporting infrastructure, as well as
incentives created by this proposed rule
for manufacturers to develop ZEV
technology and educate purchasers.
We expect that adoption rates of HD
ZEVs will be impacted by buyers taking
advantage of existing incentives,
specifically the IRA vehicle tax credit
and battery tax credit, as well as the
extent to which buyers consider the cost
savings of purchasing a ZEV over a HD
ICE vehicle in their purchase decision,
mainly observed through operational
cost savings. We expect purchasing
decisions would also be affected by
purchasers’ impressions of charging
infrastructure support and availability,
perceptions of the comparisons of
976 American
Transportation Research Institute,
An Analysis of the Operational Costs of Trucking,
September 2013. Docket ID: EPA–HQ–OAR–2014–
0827–0512.
977 Transport Canada, Operating Cost of Trucks,
2005. Docket ID: EPA–HQ–OAR–2014–0827–0070.
978 For more information on the Federal tax
credits, see Section I.C.
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26071
quality and durability of the different
HD powertrains, and resale value of the
vehicle.
The availability of existing incentives,
specifically the Federal purchaser and
battery manufacturing tax credits in the
IRA, is expected to lead to lower upfront
costs for purchasers of HD ZEVs than
would otherwise occur.979 We expect
this will result in a higher ZEV adoption
rate than would otherwise exist absent
such incentives. In addition, as
purchasers consider more of the
operational cost savings of a ZEV over
a comparable ICE vehicle in their
purchase decision, the smaller the
impact of the higher upfront costs for
purchasers of a ZEV compared to an ICE
vehicle has on that decision, and
purchasers are more likely to purchase
a ZEV. We note that ZEVs may not be
purchased at the rates estimated in the
analysis for this proposed rule. They
may be smaller if purchasers do not
consider the full, or even a portion of,
value of operational cost savings, which
may happen due to uncertainty, e.g.,
uncertainty about future fuel prices.
Additionally, this may occur if a
principal-agent problem exists, causing
split incentives.980 A principal-agent
problem would exist if truck operators
(agents) and truck purchasers who are
not also operators (principals) value
operational cost savings differently
(split incentives), which could lead to
differences in purchase decisions
between truck operators and truck
purchasers. For example, a HD vehicle
purchaser may not be directly
responsible for the future fuel costs of
the vehicle they purchase, or the person
who would be responsible for those fuel
costs may not be involved in the
purchase decision. In this case, truck
operators may place a higher value on
the potential savings in operational
costs over the lifetime of a vehicle and
give less weight to the increase in
upfront cost that may be associated with
a ZEV purchase, whereas a truck
purchaser may weigh higher upfront
costs more heavily than possible
operational cost savings. Such potential
split incentives, or market failures,
could lead to lower ZEV adoption rates
than we are estimating in this proposal,
which may reduce the non-GHG
environmental benefits of the proposed
emission standards due to lower non979 Note that the incentives exist in the baseline
and under the scenario with our proposed
standards.
980 A principal-agent problem happens when
there is a conflict in priorities (split incentives)
between a ‘‘principal,’’ or the owner of an asset, and
an ‘‘agent,’’ or the the person to whom control of
the asset has been delegated, such as a manager or
HD vehicle operator.
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GHG emission reductions than
estimated in this proposal. Other
examples of this might include if a
purchaser values charging or fueling
infrastructure, either the cost of
installation or the availability,
differently than the operator. The
direction of the effect in this case would
depend on who was responsible for the
cost of the infrastructure installation, or
who places more value on the
availability of widespread
infrastructure.
Uncertainty about ZEV technology,
charging infrastructure technology and
availability for BEVs, or hydrogen
refueling infrastructure for FCEVs, may
affect ZEV adoption rates. As ZEVs
become increasingly more affordable
and ubiquitous, we expect uncertainty
related to these technologies will
diminish over time. As uncertainty
related to these technologies decreases,
it may lead to higher rates of ZEV
adoption that estimated. In addition,
ZEVs may be purchased at higher rates
than estimated in the analysis if, for
example, ZEV costs decrease faster than
expected, or due to increasing
commitments from fleet owners or
operators to purchase ZEVs.
We expect that the Federal vehicle
and battery tax credits in the IRA, as
well as purchasers’ consideration of the
lower operational costs of ZEVs, would
mitigate any possible pre-buy by
reducing the perceived purchase price
or lifetime operational costs difference
of a new, post-rule ZEV compared to a
new pre- or post-rule ICE vehicle. We
expect this would increase purchaser
willingness to purchase a new ZEV.
When purchasers are educated on
charging or refueling infrastructure
technology and availability, both as it
stands at the time of possible purchase,
as well as plans for future availability,
uncertainty related to operating a new
ZEV decreases.
EPA recognizes that there is
uncertainty related to ZEVs that may
impact the adoption of this technology
even though it reduces operating costs.
Markets for both new and used HD
vehicles may face these problems,
although it is difficult to assess
empirically the degree to which they do.
We expect the proposed Phase 3
standards, if finalized, will help
overcome such barriers by incentivizing
the development of ZEV technologies
and the education of HD vehicle
purchasers on ZEV benefits and
infrastructure.
We request comment and data on
acceptance of HD ZEVs.
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3. VMT Rebound
Historically, the ‘‘rebound effect’’ has
been interpreted as more intensive
vehicle use, resulting in an increase in
liquid fuel in response to increased ICE
vehicle fuel efficiency. Although much
of this possible vehicle use increase is
likely to take the form of an increase in
the number of miles vehicles are driven,
it can also take the form of an increase
in the loaded operating weight of a
vehicle or altering routes and schedules
in response to improved fuel efficiency.
More intensive use of those HD ICE
vehicles consumes fuel and generates
emissions, which reduces the fuel
savings and avoided emissions that
would otherwise be expected to result
from increasing fuel efficiency of HD
ICE vehicles.
Unlike the LD vehicle rebound effect,
there is little published literature on the
HD vehicle rebound effect, and all of it
focuses on the rebound effect due to
increased ICE fuel efficiency. Winebrake
et al. (2015) suggests that vocational
trucks and tractor trailers have a
rebound effect of essentially zero. Leard
et al. (2015) estimate that tractor trailers
have a rebound effect of 30 percent,
while vocational vehicles have a 10
percent rebound rate.981 Patwary et al.
(2021) estimated that the average
rebound effect of the U.S. road freight
sector is between about 7 to 9 percent,
although their study indicated that
rebound has increased over time.982
This is slightly smaller than the value
found by Leard et al. (2015) for the
similar sector of tractors. We do not
have data that operational cost savings
of switching from an ICE vehicle to a
ZEV will affect the VMT driven of that
vehicle, nor do we have data on how
changing fuel prices might affect VMT
of ZEVs over time. Given the increasing
penetration of ZEVs in the HD fleet, and
the estimated increase over the time
frame of this proposed rule, we do not
believe the rebound estimates in
literature cited here are appropriate for
use in our analysis. Therefore, we are
not estimating any VMT rebound due to
this rule. We request comment on the
VMT response of HD ICE vehicles and
HD ZEVs due to this rule, including the
response of increasing efficiency within
ICE vehicles, as well as the response to
switching from an ICE vehicle to a ZEV.
We request comment and data on the
981 Leard,
B., Linn, J., McConnell, V., and Raich,
W. (2015). Fuel Costs, Economic Activity, and the
Rebound Effect for Heavy-Duty Trucks. Resources
For the Future Discussion Paper, 14–43.
982 Patwary, A. L., Yu, T. E., English, B.C.,
Hughes, D. W., and Cho, S. H. (2021). Estimating
the rebound effect of the US road freight transport.
Transportation Research Record, 2675(6), 165–174.
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rebound assumptions for HD ICE
vehicles and HD ZEVs.
4. Employment Impacts
Economic theories of labor demand
indicate that employers affected by
environmental regulation may change
their demand for different types of labor
in different ways, increasing demand for
some types, decreasing demand for
other types, or not changing it at all for
still other types. A variety of conditions
can affect employment impacts of
environmental regulation, including
baseline labor market conditions and
employer and worker characteristics
such as industry and region. A growing
body of literature has examined
employment effects of environmental
regulation. Morgenstern et al.
decompose the labor consequences in a
regulated industry facing increased
abatement costs.983 This study identifies
three separate components of labor
demand effects. First, there is a demand
effect caused by higher production
costs, which in turn, results in increased
market prices. Increased market prices
reduce consumption (and production),
thereby reducing demand for labor
within the regulated industry. Second,
there is a cost effect. As production
costs increase, manufacturing plants use
more of all inputs, including labor, to
produce the same level of output. Third,
there is a factor-shift effect, which
occurs when post-regulation production
technologies may have different labor
intensities than pre-regulation
production technologies.984
Due to a lack of data, we are not able
to estimate employment effects from
this proposed rule. The overall effect of
the proposed rule on employment in the
heavy-duty vehicle manufacturing
sector depends on the relative
magnitude of factor-shift, cost, and
demand effects, as well as possible
differences in employment related to
HD ICE and ZEV manufacturing. As
markets shift to HD ZEVs, employment
needs will shift as well. In Chapter 6.4.2
of the DRIA, we show that the amount
of labor per million dollars in sales in
motor vehicle manufacturing sectors has
generally declined over time, indicating
that fewer people have been needed to
produce the same value of goods. For
example, in 1997, motor vehicle body
and trailer manufacturing employed
983 Morgenstern, R.D.; Pizer, W.A.; and Shih, J.S. ‘‘Jobs Versus the Environment: An Industry-Level
Perspective.’’ Journal of Environmental Economics
and Management 43: 412–436. 2002.
984 Additional literature using similar frameworks
include Berman and Bui (2001) and Descheˆnes
(2018). For more information on this literature, see
the Chapter 10 of the RIA for the HD2027 rule,
found at Docket ID EPA–HQ–OAR–2019–0055.
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almost 3.4 employees per million
dollars in sales. This fell to almost 2.7
in 2021. In the electrical equipment
manufacturing sector, which is involved
in the production of EVs, employment
has increased from almost 2.3 to almost
2.7 per million dollars from 2007 to
2021. The International Union, United
Automobile, Aerospace and Agricultural
Implement Workers of America (UAW)
states that re-training programs will be
needed to support auto workers in a
market with an increasing share of
electric vehicles in order to prepare
workers that might be displaced by the
shift to the new technology.985
Volkswagen states that labor
requirements for ICE vehicles are about
70 percent higher than their electric
counterpart, but these changes in
employment intensities in the
manufacturing of the vehicles can be
offset by shifting to the production of
new components, for example batteries
or battery cells.986 Climate Nexus
indicates that transitioning to electric
vehicles will lead to a net increase in
jobs, a claim that is partially supported
by the rising investment in batteries,
vehicle manufacturing and charging
stations.987 Though most of these
statements are specifically referring to
light-duty vehicles, they hold true for
the HD market as well. The expected
investment mentioned by Climate
Nexus is also supported by recent
Federal investment which will allow for
increased investment along the vehicle
supply chain, including domestic
battery manufacturing, charging
infrastructure, and vehicle
manufacturing, both in the LD and HD
markets.988 This investment includes
the BIL, the CHIPS Act,989 and the IRA,
985 More information on UAW’s comments can be
found in the white paper ‘‘Making EVs work for
American workers’’ found at https://uaw.org/wpcontent/uploads/2019/07/190416-EV-White-PaperREVISED-January-2020-Final.pdf.
986 Herrmann, F., Beinhauer, W., Borrmann, D.,
Hertwig, M., Mack, J., Potinecke, T., Praeg, C., Rally,
P. 2020. Effects of Electric Mobility and
Digitlaisation on the Quality and Quantity of
Employment at Volkswagen. Fraunhofer Institute
for Industrial Engineering IAO. Study on behalf of
the Sustainability Council of the Volkswagen
Group. https://www.volkswagenag.com/presence/
stories/2020/12/frauenhofer-studie/6095_EMDI_
VW_Summary_um.pdf.
987 See the report from Climate Nexus at https://
climatenexus.org/climate-issues/energy/ev-jobimpacts/.
988 See Preamble Section I for information on the
BIL and IRA provisions relevant to vehicle
electrification, and the associated infrastructure.
989 The CHIPS Act is the Creating Helpful
Incentives to Produce Semiconductors and Science
Act and was signed into lay on August 9, 2022. It
is designed to strengthen supply chains, domestic
manufacturing and national security. More
information can be found at https://
www.whitehouse.gov/briefing-room/statementsreleases/2022/08/09/fact-sheet-chips-and-science-
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which are expected to create domestic
employment opportunities along the full
automotive sector supply chain, from
components and equipment
manufacturing and processing to final
assembly, as well as incentivize the
development of reliable EV battery
supply chains.990 For example, the IRA
is expected to impact domestic
employment through conditions on
eligibility for purchase incentives and
battery manufacturing incentives. These
conditions include contingencies for
domestic assembly, domestic critical
materials production, and domestic
battery manufacturing. The BlueGreen
Alliance and the Political Economy
Research Institute estimate that IRA will
create over 9 million jobs over the next
decade, with about 400,000 of those jobs
being attributed directly to the battery
and fuel cell vehicle provisions in the
act.991 In addition, the IRA is expected
to lead to increased demand in ZEVs
through tax credits for purchasers of
ZEVs.
The factor-shift effect on employment
reflects potential employment changes
due to changes in labor intensity of
production resulting from compliance
activities. The proposed standards do
not mandate the use of a specific
technology, and EPA anticipates that a
compliant fleet under the proposed
standards would include a diverse range
of technologies including ICE and ZEV
technologies. In our assessment that
supports the appropriateness and
feasibility of the proposed standards, we
developed a technology pathway that
could be used to meet each of the
standards, which project the increased
ZEV adoption rates. ZEVs and ICE
vehicles require different inputs and
have different costs of production,
though there are some common parts as
well. There is little research on the
relative labor intensity needs of
producing a HD ICE vehicle versus
producing an equivalent HD ZEV.
Though there are some news articles
and research from the light-duty motor
act-will-lower-costs-create-jobs-strengthen-supplychains-and-counter-china/.
990 More information on how these acts are
expected to aid employment growth and create
opportunities for growth along the supply chain can
be found in the January, 2023 White House
publication ‘‘Building a Clean Energy Economy: A
Guidebook to the Inflation Reduction Act’s
Investments in Clean Energy and Climate Action.’’
found online at https://www.whitehouse.gov/wpcontent/uploads/2022/12/Inflation-Reduction-ActGuidebook.pdf.
991 Political Economy Research Institute. (2022).
Job Creation Estimates Through Proposed Inflation
Reduction Act. University of Massachusetts
Amherst. Retrieved from https://
www.bluegreenalliance.org/site/9-million-goodjobs-from-climate-action-the-inflation-reductionact.
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vehicle market, they do not provide a
clear indication of the relationship
between employment needs for ZEVs
and ICE vehicles. Some studies find that
LD BEVs are less complex, requiring
fewer person-hours to assemble than an
equivalent ICE vehicle.992 Others find
that there is not a significant difference
in the employment needed to produce
ICE vehicles when compared to
ZEVs.993 We do not have data on
employment differences in traditional
ICE manufacturing sectors and ZEV
manufacturing sectors, especially for
expected effects in the future, nor do we
have data on the employment needed
for the level of battery production we
anticipate will be required to meet
future HD ZEV demand. We request
comment on data concerning the
potential employment impacts of HD
component and vehicle manufacturing
of ZEVs, including batteries.
The demand effect reflects potential
employment changes due to changes in
new HD vehicle sales. If HD ICE vehicle
sales decrease, fewer people would be
needed to assemble trucks and the
components used to manufacture them.
On the other hand, if HD ZEV sales
increase, more people would be needed
to assemble HD ZEVs and their
components, including batteries.
Additional, short-term, effects might be
seen if pre-buy or low-buy were to
occur. If pre-buy occurs, HD vehicle
sales may increase temporarily, leading
to temporary increases in employment
in the related manufacturing sectors. If
low-buy occurs, there may be temporary
decreases in employment in the
manufacturing sectors related to HD
vehicles.
The cost effect reflects the potential
impact on employment due to increased
costs from adopting technologies
needed for vehicles to meet the new
emission standards. In the HD ICE
vehicle manufacturing sector, if firms
invest in lower emitting HD ICE
vehicles, we would expect labor to be
used to implement those technologies.
We do not expect the rule to require
compliance activities in the production
of ZEVs, as these vehicles, by definition,
emit zero emissions. In addition, though
the proposed standards do not mandate
the use of a specific technology, and
EPA anticipates that a compliant fleet
992 Barret, J. and Bivens, J. (2021). The stakes for
workers in how policymakers manage the coming
shift to all-electric vehicles. Economic Policy
Institute. https://www.epi.org/publication/evpolicy-workers.
993 Kupper, D., Kuhlmann, K., Tominaga, K.,
Arora, A., Schlageter, J.. (2020). Shifting Gears in
Auto Manufacturing. https://www.bcg.com/
publications/2020/transformative-impact-ofelectric-vehicles-on-auto-manufacturing.
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under the proposed standards would
include a diverse range of technologies
including ICE and ZEV technologies, in
our assessment that supports the
appropriateness and feasibility of the
proposed standards, we developed a
technology pathway that could be used
to meet each of the standards, which
project increased ZEV adoption rates.
Therefore, we expect little cost effect on
employment due to this rule.
We request comment on data and
methods that could be used to estimate
the potential effects of this action on
employment in HD vehicle
manufacturing sectors, and on how
increasing electrification in the HD
market in general, might impact
employment in HD manufacturing
sectors, both for ICE powertrains as well
as electrified powertrains. We request
comment on data and methods to
estimate possible effects of the proposed
emission standards on employment in
the HD ICE and ZEVs manufacturing
markets.
As the share of ZEVs in the HD
market increases, there may also be
effects on employment in the associated
BEV charging and hydrogen refueling
infrastructure industries. These impacts
may occur in several ways, including
through greater demand for charging
and fueling infrastructure to support
more ZEVs, leading to more private and
public charging and fueling facilities
being constructed, or through greater
use of existing facilities, which can lead
to increased maintenance needs for
those facilities. We request comment on
data and methods that could be used to
estimate the effect of this action on the
HD BEV vehicle charging infrastructure
industry.
Because of the diversity of the HD
vehicle market, we expect that entities
from a wide range of transportation
sectors would purchase vehicles subject
to the proposed emission standards. HD
vehicles are typically commercial in
nature, and typically provide an
‘‘intermediate good,’’ meaning that such
vehicles are used to provide a
commercial service (transporting goods,
municipal service vehicles, etc.), rather
than serving as final consumer goods
themselves (as most light-duty vehicles
do). As a result, the purchase price of a
new HD vehicle likely impacts the price
of the service provided by that vehicle.
If lifetime operational cost savings, or
purchase incentives (as might be
available for a new ZEV), are not
accounted for in the prices for services
provided by the new vehicles, this may
result in higher prices for the services
provided by these vehicles compared to
the same services provided by a preregulation vehicle, and potentially
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reduce demand for the services such
vehicles provide. In turn, there may be
less employment in the sectors
providing such services. On the other
hand, if these cost savings are passed on
to consumers through lower prices for
services provided, it may lead to an
increase in demand for those services,
and therefore may lead to an increase in
employment in those sectors providing
those services. We expect that the actual
effects on demand for the services
provided by these vehicles and related
employment would depend on cost
pass-through, as well as responsiveness
of demand to increases in transportation
cost, should such increases occur.994
This action may also produce
employment effects in other sectors, for
example, in firms providing fuel. While
reduced fuel consumption represents
cost savings for purchasers of fuel, it
could also represent a loss in value of
output for the petroleum refining
industry, which could result in reduced
employment in that sector. Because the
petroleum refining industry is materialintensive, and EPA estimates the
reduction in fuel consumption will be
mainly met by reductions in oil imports
(see Section VI.F), the employment
effect is not expected to be large.
This proposed action could also
provide some positive impacts on driver
employment in the heavy-duty trucking
industry. As discussed in Section IV,
the reduction in fuel costs from
purchasing a ZEV instead of an ICE
vehicle would be expected to not only
reduce operational costs for ZEV owners
and operators, compared to an ICE
vehicle, but may also provide additional
incentives to purchase a HD ZEV over
a HD ICE vehicle. For example, in
comments submitted as part of the
recent HD 2027 proposal, the Zero
Emission Transportation Association
stated that driver satisfaction due to ‘‘a
smoother ride with minimal vibrations,
less noise pollution, and a high-tech
driving experience free from the fumes
of diesel exhaust’’ has the possibility of
decreasing truck driver shortages and
increasing driver retention.
F. Oil Imports and Electricity and
Hydrogen Consumption
The proposed standards would reduce
not only GHG emissions but also liquid
fuel consumption (i.e., oil consumption)
while simultaneously increasing
electricity and hydrogen consumption.
Reducing liquid fuel consumption is a
significant means of reducing GHG
994 Cost pass-through refers to the amount of
increase in up-front cost incurred by the HD vehicle
owner that is then passed on to their customers in
the form of higher prices for services provided by
the HD vehicle owner.
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emissions from the transportation
sector. As discussed in Section V and
DRIA Chapter 4, we used an updated
version of EPA’s MOVES model to
estimate the impact of the proposed
standards on heavy-duty vehicle
emissions, fuel consumption, and
electricity consumption. In Chapter 6.5
of the DRIA, we present fossil fuel—
diesel, gasoline, CNG—consumption
impacts. Table 6–1 in Chapter 6 of the
DRIA shows the estimated reduction in
U.S. oil imports under the proposed
standards relative to the reference case
scenario. This proposal is projected to
reduce U.S. oil imports 4.3 billion
gallons through 2055. The oil import
reductions are the result of reduced
consumption (i.e., reduced liquid fuel
demand) of both diesel fuel and gasoline
and our estimate that 86.4 percent of
reduced liquid fuel demand results in
reduced imports.995 DRIA Table 6–1
also includes the projected increase in
electricity and hydrogen consumption
due to the proposed rule.
VII. Benefits of the Proposed Program
A. Social Cost of GHGs
EPA estimated the climate benefits for
the proposed standards using measures
of the social cost of three GHGs: Carbon,
Methane, and Nitrous oxide. The social
cost of each gas (i.e., the social cost of
carbon (SC-CO2), methane (SC-CH4), and
nitrous oxide (SC-N2O)) is the monetary
value of the net harm to society
associated with a marginal increase in
emissions in a given year, or the benefit
of avoiding such an increase.
Collectively, these values are referenced
as the ‘‘social cost of greenhouse gases’’
(SC-GHG). In principle, SC-GHG
includes the value of all climate change
impacts, including (but not limited to)
changes in net agricultural productivity,
human health effects, property damage
from increased flood risk and natural
disasters, disruption of energy systems,
risk of conflict, environmental
migration, and the value of ecosystem
services. The SC-GHG, therefore, reflects
the societal value of reducing emissions
of the gas in question by one metric ton
and is the theoretically appropriate
value to use in conducting benefit-cost
analyses of policies that affect GHG
emissions. EPA and other Federal
agencies began regularly incorporating
SC-GHG estimates in their benefit-cost
analyses conducted under Executive
995 To estimate the 86.4 percent import reduction
factor, we look at changes in U.S. crude oil imports/
exports and net refined petroleum products in the
AEO 2022 Reference Case, Table 11. Petroleum and
Other Liquids Supply and Disposition, in
comparison to the Low Economic Growth Case from
the AEO 2022. See the spreadsheet, ‘‘Low vs
Reference case impact on Imports 2022 AEO.xlsx’’.
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Order (E.O.) 12866 996 since 2008,
following a Ninth Circuit Court of
Appeals remand of a rule for failing to
monetize the benefits of reducing CO2
emissions in a rulemaking process.
We estimate the global social benefits
of CO2, CH4, and N2O emission
reductions expected from the proposed
rule using the SC-GHG estimates
presented in the February 2021
Technical Support Document (TSD):
Social Cost of Carbon, Methane, and
Nitrous Oxide Interim Estimates under
E.O. 13990 (IWG 2021). These SC-GHG
estimates are interim values developed
under E.O. 13990 for use in benefit-cost
analyses until updated estimates of the
impacts of climate change can be
developed based on the best available
climate science and economics. We
have evaluated the SC-GHG estimates in
the TSD and have determined that these
estimates are appropriate for use in
estimating the global social benefits of
CO2, CH4, and N2O emission reductions
expected from this proposed rule. After
considering the TSD, and the issues and
studies discussed therein, EPA finds
that these estimates, while likely an
underestimate, are the best currently
available SC-GHG estimates. These SCGHG estimates were developed over
many years using a transparent process,
peer-reviewed methodologies, the best
science available at the time of that
process, and with input from the public.
As discussed in Chapter 7 of the DRIA,
these interim SC-GHG estimates have a
number of limitations, including that
the models used to produce them do not
include all of the important physical,
ecological, and economic impacts of
climate change recognized in the
climate-change literature and that
several modeling input assumptions are
outdated. As discussed in the February
2021 TSD, the Interagency Working
Group on the Social Cost of Greenhouse
Gases (IWG) finds that, taken together,
the limitations suggest that these SCGHG estimates likely underestimate the
damages from GHG emissions. The IWG
is currently working on a
comprehensive update of the SC-GHG
estimates (under E.O. 13990) taking into
consideration recommendations from
the National Academies of Sciences,
Engineering and Medicine, recent
scientific literature, public comments
received on the February 2021 TSD and
other input from experts and diverse
stakeholder groups. The EPA is
participating in the IWG’s work. In
addition, while that process continues,
EPA is continuously reviewing
developments in the scientific literature
on the SC-GHG, including more robust
methodologies for estimating damages
from emissions, and looking for
opportunities to further improve SCGHG estimation going forward. Most
recently, EPA has developed a draft
updated SC-GHG methodology within a
sensitivity analysis in the regulatory
impact analysis of EPA’s November
2022 supplemental proposal for oil and
gas standards that is currently
undergoing external peer review and a
public comment process. See Chapter 7
of the DRIA for more discussion of this
effort.
We monetize benefits of the proposed
standards and evaluate other costs in
part to better enable a comparison of
costs and benefits pursuant to E.O.
12866, but we recognize that there are
benefits that we are currently unable to
fully quantify. EPA’s consistent practice
has been to set standards to achieve
improved air quality consistent with
CAA section 202 and not to rely on costbenefit calculations, with their
uncertainties and limitations, in
identifying the appropriate standards.
Nonetheless, our conclusion that the
estimated benefits considerably exceed
the estimated costs of the proposed
program reinforces our view that the
proposed standards represent an
appropriate weighing of the statutory
factors and other relevant
considerations.
Table VII–1 presents the estimated
annual, undiscounted climate benefits
of reduced GHG emissions, and
consequently the annual quantified
benefits (i.e., total GHG benefits), for
each of the four interim social cost of
GHG (SC-GHG) values estimated by the
interagency working group for the
stream of years beginning with the first
year of rule implementation, 2027,
through 2055 for the proposed program.
Also shown are the present values (PV)
and equivalent annualized values (EAV)
associated with each of the four interim
SC-GHG values. As discussed in the
DRIA Chapter 7, there are some
limitations to the SC-GHG analysis,
including the incomplete way in which
the integrated assessment models
capture catastrophic and noncatastrophic impacts, their incomplete
treatment of adaptation and
technological change, uncertainty in the
extrapolation of damages to high
temperatures, and assumptions
regarding risk aversion. Our analysis
includes CO2 emission increases from
EGUs that would result from our
proposal (see Section V) but we have
not quantified upstream emissions
impacts associated with liquid fuel
refining.
TABLE VII–1—CLIMATE BENEFITS FROM REDUCTION IN GHG EMISSIONS ASSOCIATED WITH THE PROPOSAL
[Millions of 2021 Dollars]
Proposal
Calendar Year
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5% Average
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
.................................................................................................................
996 Benefit-cost analyses have been an integral
part of executive branch rulemaking for decades.
Presidents since the 1970s have issued executive
orders requiring agencies to conduct analysis of the
economic consequences of regulations as part of the
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$33
74
120
190
290
410
530
660
780
940
1,100
rulemaking development process. E.O. 12866,
released in 1993 and still in effect today, requires
that for all regulatory actions that are significant
under 3(f)(1), an agency provide an assessment of
the potential costs and benefits of the regulatory
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3% Average
$110
240
400
610
900
1,300
1,600
2,000
2,300
2,800
3,300
2.5% Average
$160
350
580
880
1,300
1,800
2,300
2,800
3,300
4,000
4,700
3% 95th
Percentile
$320
710
1,200
1,800
2,700
3,800
4,900
6,000
7,100
8,500
9,900
action, and that this assessment include a
quantification of benefits and costs to the extent
feasible.’’
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TABLE VII–1—CLIMATE BENEFITS FROM REDUCTION IN GHG EMISSIONS ASSOCIATED WITH THE PROPOSAL—Continued
[Millions of 2021 Dollars]
Proposal
Calendar Year
5% Average
2038 .................................................................................................................
2039 .................................................................................................................
2040 .................................................................................................................
2041 .................................................................................................................
2042 .................................................................................................................
2043 .................................................................................................................
2044 .................................................................................................................
2045 .................................................................................................................
2046 .................................................................................................................
2047 .................................................................................................................
2048 .................................................................................................................
2049 .................................................................................................................
2050 .................................................................................................................
2051 .................................................................................................................
2052 .................................................................................................................
2053 .................................................................................................................
2054 .................................................................................................................
2055 .................................................................................................................
Present Value ..................................................................................................
Equivalent Annualized Value ...........................................................................
3% Average
1,300
1,500
1,700
1,900
2,100
2,300
2,500
2,700
2,900
3,100
3,300
3,500
3,700
3,800
4,000
4,100
4,300
4,400
22,000
1,400
3,800
4,300
4,900
5,400
5,900
6,500
7,000
7,500
8,000
8,400
8,800
9,200
9,700
10,000
10,000
11,000
11,000
11,000
87,000
4,600
2.5% Average
5,400
6,100
6,900
7,600
8,300
9,000
9,800
10,000
11,000
12,000
12,000
13,000
13,000
14,000
14,000
15,000
15,000
15,000
130,000
6,500
3% 95th
Percentile
12,000
13,000
15,000
16,000
18,000
20,000
21,000
23,000
24,000
26,000
27,000
28,000
30,000
30,000
31,000
32,000
32,000
33,000
260,000
14,000
Note: Climate benefits include changes in vehicle GHGs and EGU CO2 emissions, but do not include changes in other EGU GHGs or refinery
GHGs.
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B. Criteria Pollutant Health Benefits
This section discusses the economic
benefits from reductions in adverse
health impacts resulting from non-GHG
emission reductions that can be
expected to occur as a result of the
proposed CO2 emission standards. GHG
emissions are predominantly the
byproduct of fossil fuel combustion
processes that also produce criteria and
hazardous air pollutant emissions. The
heavy-duty vehicles that are subject to
the proposed CO2 emission standards
are also significant sources of mobile
source air pollution such as directlyemitted PM, NOX, VOCs, CO, SO2 and
air toxics. We expect the proposed CO2
emission standards would lead to an
increase in HD ZEVs and a decrease in
HD ICE vehicles, which would result in
reductions of these non-GHG pollutants
(see Section V). Zero-emission
technologies would also affect
emissions from upstream sources that
occur during, for example, electricity
generation and from the refining and
distribution of liquid fuel (see Section
V). This proposal’s benefits analysis
includes added emissions due to
increased electricity generation but does
not include emissions reductions from
reduced petroleum refining.
Changes in ambient concentrations of
ozone, PM2.5, and air toxics that would
result from the proposed CO2 emission
standards are expected to affect human
health by reducing premature deaths
and other serious human health effects,
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and they are also expected to result in
other important improvements in public
health and welfare (see Section VI).
Children, especially, benefit from
reduced exposures to criteria and toxic
pollutants because they tend to be more
sensitive to the effects of these
respiratory pollutants. Ozone and
particulate matter have been associated
with increased incidence of asthma and
other respiratory effects in children, and
particulate matter has been associated
with a decrease in lung maturation.
When feasible, EPA conducts fullscale photochemical air quality
modeling to demonstrate how its
national mobile source regulatory
actions affect ambient concentrations of
regional pollutants throughout the
United States. The estimation of the
human health impacts of a regulatory
action requires national-scale
photochemical air quality modeling to
conduct a full-scale assessment of PM2.5
and ozone-related health benefits. Air
quality modeling and associated
analyses are not available for this
document.
For the analysis of the proposed CO2
emission standards (and analysis of the
alternative standards in Section IX), we
instead use a reduced-form ‘‘benefit-perton’’ (BPT) approach to estimate the
monetized PM2.5-related health benefits
of this proposal. The BPT approach
estimates the monetized economic value
of PM2.5-related emission reductions
(such as direct PM, (NOX, and SO2) due
to implementation of the proposed
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program. Similar to the SC-GHG
approach for monetizing reductions in
GHGs, the BPT approach estimates
monetized health benefits of avoiding
one ton of PM2.5-related emissions from
a particular source sector. The value of
health benefits from reductions (or
increases) in PM2.5 emissions associated
with this proposal were estimated by
multiplying PM2.5-related BPT values by
the corresponding annual reduction in
tons of directly-emitted PM2.5 and PM2.5
precursor emissions (NOX and SO2). As
explained in Chapter 7.2 in the DRIA,
the PM2.5 BPT values represent the
monetized value of human health
benefits, including reductions in both
premature mortality and nonfatal
illnesses.
The mobile sector BPT estimates used
in this proposal were published in 2019,
but were recently updated using the
suite of premature mortality and
morbidity studies in use by EPA for the
2023 p.m. NAAQS Reconsideration
Proposal.997 998 The EGU BPT estimates
used in this proposal were also recently
updated.999 The health benefits
997 Wolfe, P.; Davidson, K.; Fulcher, C.; Fann, N.;
Zawacki, M.; Baker, K.R. 2019. Monetized Health
Benefits Attributable to Mobile Source Emission
Reductions across the United States in 2025. Sci.
Total Environ. 650, 2490–2498. Available at:
https://doi.org/10.1016/J.SCITOTENV.2018.09.273.
998 U.S. Environmental Protection Agency (U.S.
EPA). 2023. PM NAAQS Reconsideration Proposal
RIA. EPA–HQ–OAR–2019–0587. January.
999 U.S. Environmental Protection Agency (U.S.
EPA). 2023. Technical Support Document:
Estimating the Benefit per Ton of Reducing
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Technical Support Document (Benefits
TSD) that accompanied the PM NAAQS
Reconsideration Proposal details the
approach used to estimate the PM2.5related benefits reflected in the mobile
source BPTs.1000 For more detailed
information about the benefits analysis
conducted for this proposal, including
the BPT unit values used in this
analysis, please refer to Chapter 7 of the
DRIA.
A chief limitation to using PM2.5related BPT values is that they do not
reflect benefits associated with reducing
ambient concentrations of ozone. The
PM2.5-related BPT values also do not
capture the benefits associated with
reductions in direct exposure to NO2
and mobile source air toxics, nor do
they account for improved ecosystem
effects or visibility. The estimated
benefits of this proposal would be larger
if we were able to monetize these
unquantified benefits at this time.
Table VII–2 presents the annual,
undiscounted PM2.5-related health
benefits estimated for the stream of
years beginning with the first year of
rule implementation, 2027, through
calendar year 2055 for the proposed
standards. Benefits are presented by
Source: Onroad heavy-duty vehicles
and EGUs. Because premature mortality
typically constitutes the vast majority of
monetized benefits in a PM2.5 benefits
assessment, we present benefits based
on risk estimates reported from two
different long-term exposure studies
using different cohorts to account for
uncertainty in the benefits associated
with avoiding PM-related premature
deaths.1001 1002 Although annual benefits
presented in the table are not
discounted for the purposes of present
value or annualized value calculations,
annual benefits do reflect the use of 3percent and 7-percent discount rates to
account for avoided health outcomes
that are expected to accrue over more
than a single year (the ‘‘cessation lag’’
between the change in PM exposures
and the total realization of changes in
health effects). Table VII–2 also displays
the present and annualized values of
estimated benefits that occur from 2027
to 2055, discounted using both 3percent and 7-percent discount rates
and reported in 2021 dollars. We
estimate that the present value of
benefits for the proposed program is $15
to $29 billion at a 3-percent discount
rate and $5.8 to $11 billion at a 7percent discount rate (2021 dollars).
TABLE VII–2—YEAR-OVER-YEAR MONETIZED PM2.5-RELATED HEALTH BENEFITS OF THE PROPOSED PROGRAM
[Millions, 2021$]
Onroad heavy-duty vehicles
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2027 .........................................
2028 .........................................
2029 .........................................
2030 .........................................
2031 .........................................
2032 .........................................
2033 .........................................
2034 .........................................
2035 .........................................
2036 .........................................
2037 .........................................
2038 .........................................
2039 .........................................
2040 .........................................
2041 .........................................
2042 .........................................
2043 .........................................
2044 .........................................
2045 .........................................
2046 .........................................
2047 .........................................
2048 .........................................
2049 .........................................
2050 .........................................
2051 .........................................
2052 .........................................
2053 .........................................
2054 .........................................
2055 .........................................
Present Value ..........................
3% Discount
rate
7% Discount
rate
$23–49
51–110
87–180
140–290
220–460
330–670
440–900
560–1,100
690–1,400
820–1,700
970–1,900
1,100–2,200
1,300–2,500
1,400–2,800
1,500–3,000
1,700–3,300
1,800–3,500
1,900–3,700
2,000–3,900
2,100–4,100
2,200–4,300
2,300–4,400
2,300–4,600
2,400–4,700
2,500–4,900
2,600–5,100
2,700–5,200
2,800–5,400
2,900–5,500
23,000–46,000
$21–44
46–97
78–160
130–260
200–410
290–610
400–810
500–1,000
620–1,200
740–1,500
870–1,700
1,000–2,000
1,100–2,200
1,300–2,500
1,400–2,700
1,500–2,900
1,600–3,100
1,700–3,300
1,800–3,500
1,900–3,700
2,000–3,800
2,000–4,000
2,100–4,100
2,200–4,300
2,300–4,400
2,400–4,600
2,400–4,700
2,500–4,800
2,600–5,000
10,000–20,000
Directly-Emitted PM2.5, PM2.5 Precursors and Ozone
Precursors from 21 Sectors. January.
1000 U.S. Environmental Protection Agency (U.S.
EPA). 2023. Estimating PM2.5- and OzoneAttributable Health Benefits. Technical Support
Document (TSD) for the PM NAAQS
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EGUs
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3% Discount rate
7% Discount rate
$(17)–(35)
(37)–(76)
(61)–(130)
(120)–(260)
(240)–(500)
(400)–(820)
(560)–(1100)
(720)–(1500)
(890)–(1800)
(930)–(1900)
(930)–(1900)
(890)–(1800)
(810)–(1600)
(700)–(1400)
(660)–(1300)
(610)–(1200)
(540)–(1100)
(470)–(930)
(380)–(760)
(350)–(690)
(310)–(620)
(270)–(540)
(230)–(450)
(180)–(370)
(190)–(370)
(190)–(380)
(190)–(380)
(190)–(390)
(200)–(390)
(8,200)–(17,000)
Reconsideration Proposal RIA. EPA–HQ–OAR–
2019–0587. January.
1001 Wu, X, Braun, D, Schwartz, J,
Kioumourtzoglou, M and Dominici, F (2020).
Evaluating the impact of long-term exposure to fine
particulate matter on mortality among the elderly.
Science advances 6(29): eaba5692.
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Total benefits
$(15)–(32)
(33)–(69)
(55)–(110)
(110)–(230)
(220)–(450)
(360)–(730)
(500)–(1000)
(650)–(1300)
(800)–(1600)
(840)–(1700)
(840)–(1700)
(800)–(1600)
(730)–(1500)
(630)–(1200)
(590)–(1200)
(550)–(1100)
(490)–(970)
(420)–(830)
(340)–(680)
(310)–(620)
(280)–(550)
(240)–(480)
(200)–(410)
(170)–(330)
(170)–(330)
(170)–(340)
(170)–(340)
(170)–(350)
(180)–(350)
(4,600)–(9,300)
3% Discount
rate
$6.4–13
15–31
26–53
16–33
(22)–(45)
(70)–(140)
(120)–(240)
(160)–(330)
(210)–(410)
(110)–(220)
31–62
220–440
440–880
700–1,400
870–1,700
1,000–2,100
1,200–2,400
1,400–2,800
1,600–3,100
1,700–3,400
1,900–3,600
2,000–3,900
2,100–4,100
2,300–4,400
2,300–4,500
2,400–4,700
2,500–4,800
2,600–5,000
2,700–5,200
15,000–29,000
7% Discount
rate
$5.7–12
13–28
23–48
14–30
(20)–(40)
(64)–(130)
(110)–(210)
(150)–(300)
(190)–(370)
(100)–(200)
27–57
200–400
400–790
630–1,300
780–1,500
940–1,900
1,100–2,200
1,300–2,500
1,400–2,800
1,600–3,100
1,700–3,300
1,800–3,500
1,900–3,700
2,000–3,900
2,100–4,100
2,200–4,200
2,300–4,400
2,300–4,500
2,400–4,600
5,800–11,000
1002 Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S–Y, Bechle, M, Gilliat, KS,
Vernon, SE and Robinson, AL (2019). Mortality risk
and fine particulate air pollution in a large,
representative cohort of US adults. Environmental
health perspectives 127(7): 077007.
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TABLE VII–2—YEAR-OVER-YEAR MONETIZED PM2.5-RELATED HEALTH BENEFITS OF THE PROPOSED PROGRAM—
Continued
[Millions, 2021$]
Onroad heavy-duty vehicles
3% Discount
rate
Equivalent Annualized Value ...
EGUs
7% Discount
rate
1,200–2,400
3% Discount rate
840–1,700
Total benefits
7% Discount rate
(430)–(860)
(380)–(760)
3% Discount
rate
780–1,500
7% Discount
rate
470–910
Notes: The range of benefits in this table reflect the range of premature mortality estimates derived from the Medicare study (Wu et al., 2020)
and the NHIS study (Pope et al., 2019). All benefits estimates are rounded to two significant figures. Annual benefit values presented here are
not discounted. Negative values in parentheses are health disbenefits related to increases in estimated emissions. The present value of benefits
is the total aggregated value of the series of discounted annual benefits that occur between 2027–2055 (in 2021 dollars) using either a 3% or 7%
discount rate. The benefits associated with the standards presented here do not include health benefits associated with reduced criteria pollutant
emissions from refineries. The benefits in this table also do not include the full complement of health and environmental benefits that, if quantified and monetized, would increase the total monetized benefits.
This analysis includes many data
sources that are each subject to
uncertainty, including projected
emission inventories, air quality data
from models, population data,
population estimates, health effect
estimates from epidemiology studies,
economic data, and assumptions
regarding the future state of the world
(i.e., regulations, technology, and
human behavior). When compounded,
even small uncertainties can greatly
influence the size of the total quantified
benefits. There are also inherent
limitations associated with using the
BPT approach. Despite these
uncertainties, we believe the criteria
pollutant benefits presented here are our
best estimate of benefits absent air
quality modeling and we have
confidence in the BPT approach and the
appropriateness of relying on BPT
health estimates for this rulemaking.
Please refer to DRIA Chapter 7 for more
information on the uncertainty
associated with the benefits presented
here.
C. Energy Security
lotter on DSK11XQN23PROD with PROPOSALS2
The proposed CO2 emission standards
are designed to require reductions in
GHG emissions from HD vehicles in the
2027–2032 and beyond timeframe and,
thereby, reduce liquid fuel
consumption. We expect the standards
will be met through a combination of
zero-emission technologies and
improvements in ICE vehicle
technologies, which would, in turn,
reduce the demand for liquid fuels and
enable the United States to reduce
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petroleum imports. A reduction of U.S.
petroleum imports reduces both
financial and strategic risks caused by
potential sudden disruptions in the
supply of imported petroleum to the
United States, thus increasing U.S.
energy security.
Energy security is broadly defined as
the uninterrupted availability of energy
sources at affordable prices.1003 Energy
independence and energy security are
distinct but related concepts. The goal
of U.S. energy independence is the
elimination of all U.S. imports of
petroleum and other foreign sources of
energy, but more broadly it is the
elimination of U.S. sensitivity to the
variations in the price and supply of
foreign sources of energy.1004 See
Chapter 7 of the DRIA for a more
detailed assessment of energy security
and energy independence impacts of
this proposed rule and Section II.D.2.ii
for a discussion on battery critical
materials and supply.
In order to understand the energy
security implications of reducing U.S.
oil imports, EPA has worked with Oak
Ridge National Laboratory (ORNL),
which has developed approaches for
evaluating the social costs and energy
security implications of oil use. When
conducting this analysis, ORNL
estimates the risk of reductions in U.S.
1003 International Energy Agency. ‘‘Energy
security: Ensuring the uninterrupted availability of
energy sources at an affordable price’’. Last updated
December 2, 2019.
1004 Greene, D. 2010. Measuring energy security:
Can the United States achieve oil independence?
Energy Policy 38, pp. 1614–1621.
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economic output and disruption to the
U.S. economy caused by sudden
disruptions in world oil supply and
associated price shocks (i.e., labeled the
avoided macroeconomic disruption/
adjustment costs). These risks are
quantified as ‘‘macroeconomic oil
security premiums,’’ i.e., the extra costs
of oil use besides its market price.
For this proposed rule, EPA is using
macroeconomic oil security premiums
estimated using ORNL’s methodology,
which incorporates updated oil price
projections and energy market and
economic trends from the U.S.
Department of Energy’s Energy
Information Administration’s (EIA)
Annual Energy Outlook (AEO) 2022.
EPA and ORNL have worked together to
revise the macroeconomic oil security
premiums based upon recent energy
security literature. We do not consider
military cost impacts as a result of
reductions in U.S. oil imports from this
proposed rule due to methodological
issues in quantifying these impacts.
To calculate the oil security benefits
of this proposed rule, EPA is using the
ORNL macroeconomic oil security
premium methodology with: (1)
Estimated oil savings calculated by EPA
and (2) An oil import reduction factor
of 86.4 percent, which shows how much
U.S. oil imports are reduced from
changes in U.S. oil consumption. In
Table VII–3, EPA presents the
macroeconomic oil security premiums
and the energy security benefits for the
proposed HDV standards for the years
from 2027–2055.
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TABLE VII–3—MACROECONOMIC OIL SECURITY PREMIUMS (2021$/BARREL) AND ENERGY SECURITY BENEFITS WITH THE
PROPOSAL
lotter on DSK11XQN23PROD with PROPOSALS2
[In millions of 2021$]
Calendar year
Macroeconomic oil
security premiums
(range)
2027 ...............................................................................................................................................
2028 ...............................................................................................................................................
2029 ...............................................................................................................................................
2030 ...............................................................................................................................................
2031 ...............................................................................................................................................
2032 ...............................................................................................................................................
2033 ...............................................................................................................................................
2034 ...............................................................................................................................................
2035 ...............................................................................................................................................
2036 ...............................................................................................................................................
2037 ...............................................................................................................................................
2038 ...............................................................................................................................................
2039 ...............................................................................................................................................
2040 ...............................................................................................................................................
2041 ...............................................................................................................................................
2042 ...............................................................................................................................................
2043 ...............................................................................................................................................
2044 ...............................................................................................................................................
2045 ...............................................................................................................................................
2046 ...............................................................................................................................................
2047 ...............................................................................................................................................
2048 ...............................................................................................................................................
2049 ...............................................................................................................................................
2050 ...............................................................................................................................................
2051 ...............................................................................................................................................
2052 ...............................................................................................................................................
2053 ...............................................................................................................................................
2054 ...............................................................................................................................................
2055 ...............................................................................................................................................
PV, 3% ...........................................................................................................................................
PV, 7% ...........................................................................................................................................
EAV, 3% ........................................................................................................................................
EAV, 7% ........................................................................................................................................
$3.57 ($0.79–$6.65)
$3.65 ($0.80–$6.79)
$3.72 ($0.80–$6.92)
$3.79 ($0.81–$7.06)
$3.87 ($0.85–$7.22)
$3.96 ($0.89–$7.38)
$4.04 ($0.92–$7.53)
$4.13 ($0.96–$7.69)
$4.21 ($1.00–$7.85)
$4.29 ($1.03–$7.98)
$4.36 ($1.06–$8.11)
$4.44 ($1.10–$8.24)
$4.51 ($1.13–$8.37)
$4.59 ($1.16–$8.50)
$4.65 ($1.19–$8.62)
$4.71 ($1.21–$8.73)
$4.76 ($1.24–$8.85)
$4.82 ($1.26–$8.96)
$4.88 ($1.29–$9.08)
$4.94 ($1.32–$9.18)
$5.00 ($1.35–$9.28)
$5.06 ($1.37–$9.37)
$5.12 ($1.40–$9.46)
$5.18 ($1.43–$9.56)
$5.18 ($1.43–$9.56)
$5.18 ($1.43–$9.56)
$5.18 ($1.43–$9.56)
$5.18 ($1.43–$9.56)
$5.18 ($1.43–$9.56)
..................................................
..................................................
..................................................
..................................................
VIII. Comparison of Benefits and Costs
A. Methods
This section compares the estimated
range of benefits associated with
reductions of GHGs, monetized health
benefits from reductions in PM2.5,
energy security benefits, fuel savings,
and vehicle-related operating savings to
total costs associated with the proposal
and the alternative. Estimated costs are
detailed and presented in Section IV of
this preamble. Those costs include costs
for both the new technology in our
technology package and the operating
costs associated with that new
technology. Importantly, as detailed in
Section IV of this preamble, the vehicle
costs presented here exclude both the
IRA battery tax credit and vehicle tax
credit while the fuel savings exclude
fuel taxes; as such, these costs, along
with other operating costs, represent the
social costs and/or savings associated
with the proposed standards. Benefits
from the reduction of GHG emissions
and criteria pollutant emissions, and
energy security benefits associated with
reductions of imported oil, are
presented in Section VII.
EPA presents three different benefitcost comparisons for the proposal and
the alternative:
1. A future-year snapshot comparison
of annual benefits and costs in the year
2055, chosen to approximate the annual
health benefits that would occur in a
year when the program would be fully
implemented and when most of the
regulated fleet would have turned over.
Benefits, costs, and net benefits are
presented in year 2021 dollars and are
not discounted. However, 3-percent and
7-percent discount rates were applied to
account for avoided health outcomes
that are expected to accrue over more
than a single year (the ‘‘cessation lag’’
between the change in PM exposures
and the total realization of changes in
health effects).
2. The present value (PV) of the
stream of benefits, costs, and net
benefits calculated for the years 2027
through 2055, discounted back to the
first year of implementation of the
proposed rule (2027) using both 3percent and 7-percent discount rates,
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Energy
security
benefits
$15
33
55
91
140
210
280
350
420
490
560
620
690
750
800
850
900
940
990
1,000
1,100
1,100
1,100
1,200
1,200
1,200
1,200
1,300
1,300
12,000
6,000
620
490
and presented in year 2021 dollars. Note
that year-over-year costs are presented
in Section IV and year-over-year
benefits may be found in Section VII.
3. The equivalent annualized value
(EAV) of benefits, costs, and net benefits
representing a flow of constant annual
values that, had they occurred in each
year from 2027 through 2055, would
yield an equivalent present value to
those estimated in method 2 (using
either a 3-percent or 7-percent discount
rate). Each EAV represents a typical
benefit, cost, or net benefit for each year
of the analysis and is presented in year
2021 dollars.
B. Results
Table VIII–1 shows the undiscounted
annual monetized vehicle-related
technology package RPE costs of the
proposal and alternative in calendar
year 2055. The table also shows the PV
and EAV of those costs for the calendar
years 2027 through 2055 using both 3percent and 7-percent discount rates.
The table includes an estimate of the
vehicle technology package RPE costs
and the costs associated with EVSE.
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significant figures; numbers may not
sum due to independent rounding.
Note that all costs, savings, and
benefits estimates presented in the
tables that follow are rounded to two
TABLE VIII–1—VEHICLE-RELATED TECHNOLOGY COSTS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE
[Millions of 2021 dollars]
Proposal
Vehicle
technology
package RPE
EVSE RPE
¥$1,500
9,000
10,000
470
820
2055 .....................
PV, 3% .................
PV, 7% .................
EAV, 3% ...............
EAV, 7% ...............
Alternative
$2,900
47,000
29,000
2,500
2,300
Table VIII–2 shows the undiscounted
annual monetized vehicle-related
operating savings of the proposal and
alternative in calendar year 2055. The
table also shows the PV and EAV of
those savings for calendar years 2027
through 2055 using both 3-percent and
7-percent discount rates. The savings in
Vehicle
technology
package RPE
Sum
EVSE RPE
¥$1,200
4,000
5,400
210
440
$1,400
56,000
39,000
2,900
3,200
diesel exhaust fluid (DEF) consumption
arise from the electrification of the HD
fleet and the corresponding decrease in
diesel engine equipped vehicles which
require DEF to maintain compliance
with NOX emission standards. The
maintenance and repair savings are
substantial due again to electrification
Sum
$2,100
33,000
20,000
1,700
1,600
$880
37,000
25,000
1,900
2,100
of the HD fleet, with HD BEVs and
FCEVs projected to require 71 percent
and 75 percent, respectively, of the
maintenance and repair costs required
of HD vehicles equipped with internal
combustion engines.
TABLE VIII–2—VEHICLE-RELATED OPERATING SAVINGS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE
[Millions of 2021 dollars *]
Proposal
Pre-tax fuel
savings
2055 ..................................
PV, 3% ..............................
PV, 7% ..............................
EAV, 3% ............................
EAV, 7% ............................
Alternative
Maintenance
& repair
savings
DEF
savings
$4,300
28,000
14,000
1,400
1,100
$2,300
22,000
11,000
1,100
900
$24,000
200,000
99,000
10,000
8,100
Sum of
savings
Pre-tax fuel
savings
$31,000
250,000
120,000
13,000
10,000
DEF
savings
$2,800
18,000
8,900
920
720
$1,700
15,000
7,900
810
640
Maintenance
& repair
savings
$17,000
140,000
71,000
7,400
5,800
Sum of
savings
$22,000
180,000
87,000
9,100
7,100
* Fuel savings are net of savings in diesel, gasoline, and CNG consumption with increased electricity and hydrogen consumption; DEF savings accrue only to diesel
vehicles; maintenance and repair savings include impacts associated with all fuels.
consequently the annual quantified
benefits (i.e., total GHG benefits), for
each of the four interim social cost of
GHG (SC–GHG) values estimated by the
Interagency Working Group (IWG). As
discussed in DRIA Chapter 7, there are
some limitations to the SC–GHG
analysis, including the incomplete way
in which the integrated assessment
TABLE VIII–3—ENERGY SECURITY
models capture catastrophic and nonBENEFITS ASSOCIATED WITH THE catastrophic impacts, their incomplete
PROPOSAL AND ALTERNATIVE
treatment of adaptation and
[Millions of 2021 dollars]
technological change, uncertainty in the
extrapolation of damages to high
Proposal
Alternative
temperatures, and assumptions
regarding risk aversion. These climate
2055 ......
$1,300
$910
PV, 3% ..
12,000
8,500 benefits include benefits associated with
PV, 7% ..
6,000
4,300 reduced vehicle GHGs and increased
EAV, 3%
620
440 EGU CO2 emissions, but do not include
EAV, 7%
490
350 any impacts associated with petroleum
extraction, petroleum transportation, or
Table VIII–4 shows the benefits of
liquid fuel refining.
reduced GHG emissions, and
lotter on DSK11XQN23PROD with PROPOSALS2
Table VIII–3 shows the undiscounted
annual monetized energy security
benefits of the proposal and alternative
in calendar year 2055. The table also
shows the PV and EAV of those benefits
for calendar years 2027 through 2055
using both 3-percent and 7-percent
discount rates.
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Table VIII–5 shows the undiscounted
annual monetized PM2.5-related health
benefits of the proposal and alternative
in calendar year 2055. The table also
shows the PV and EAV of those benefits
for calendar years 2027 through 2055
using both 3-percent and 7-percent
discount rates. The range of benefits in
this table reflect the two premature
mortality estimates derived from the
Medicare study (Wu et al., 2020) and the
NHIS study (Pope et al., 2019).1005 1006
1005 Wu, X, Braun, D, Schwartz, J,
Kioumourtzoglou, M and Dominici, F (2020).
Evaluating the impact of long-term exposure to fine
particulate matter on mortality among the elderly.
Science advances 6(29): eaba5692.
1006 Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S–Y, Bechle, M, Gilliat, KS,
Vernon, SE and Robinson, AL (2019). Mortality risk
and fine particulate air pollution in a large,
representative cohort of U.S. adults. Environmental
health perspectives 127(7): 077007.
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TABLE VIII–4—CLIMATE BENEFITS FROM REDUCTION IN GHG EMISSIONS ASSOCIATED WITH THE PROPOSAL AND
ALTERNATIVE
[Millions of 2021 dollars]
Proposal
5%
Average
2055 ..........................................................................................
PV ..............................................................................................
EAV ...........................................................................................
$4,400
22,000
1,400
3%
Average
$11,000
87,000
4,600
Alternative
2.5%
Average
$15,000
130,000
6,500
3% 95th
Percentile
5%
Average
$33,000
260,000
14,000
$3,200
16,000
1,000
3%
Average
2.5%
Average
$8,000
62,000
3,300
3% 95th
Percentile
$11,000
96,000
4,700
$24,000
190,000
9,900
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social cost of
carbon (SC-CO2), the social cost of methane (SC-CH4), and the social cost of nitrous oxide (SC-N2O) (model average at 2.5-percent, 3-percent, and 5-percent discount rates; 95th percentile at 3-percent discount rate). The 95th perncentile estimate was included to provide information on potentially higher-than-expected economic impacts from climate change, conditional on the 3 percent estimate of the discount rate. We emphasize the importance and value of considering the benefits
calculated using all four SC-CO2, SC-CH4, and SC-N2O estimates. As discussed in the Technical Support Document: Social Cost of Carbon, Methane, and Nitrous
Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate benefits calculated using discount rates below 3 percent, including 2
percent and lower, are also warranted when discounting intergenerational impacts.
The same discount rate used to discount the value of damages from future emissions (SC-GHGs at 5, 3, 2.5 percent) is used to calculate the present value of SCGHGs for internal consistency. Annual benefits shown are undiscounted values.
TABLE VIII–5—PM2.5-RELATED EMISSION REDUCTION BENEFITS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE
[Millions of 2021 dollars]
Proposal
3%
2055 .........................................................................................
PV ............................................................................................
EAV ..........................................................................................
Alternative
7%
$2,700–$5,200
15,000–29,000
780–1,500
3%
$2,400–$4,600
5,800–11,000
470–910
7%
$1,900–$3,700
11,000–21,000
570–1,100
$1,700–$3,300
4,200–8,200
340–670
Notes: The range of benefits in this table reflects the range of premature mortality estimates derived from the Medicare study (Wu et al., 2020)
and the NHIS study (Pope III et al., 2019). All benefits estimates are rounded to two significant figures. The present value of benefits is the total
aggregated value of the series of discounted annual benefits that occur between 2027–2055 (in 2021 dollars) using either a 3-percent or 7-percent discount rate. The benefits associated with the standards presented here do not include health benefits associated with reduced criteria pollutant emissions from refineries. The benefits in this table also do not include the full complement of health and environmental benefits that, if
quantified and monetized, would increase the total monetized benefits.
Table VIII–6 shows the undiscounted
annual net benefits of the proposal and
alternative in calendar year 2055 using
each of the four social cost of GHG
valuations. The table also shows the PV
and EAV of the net benefits for calendar
years 2027 through 2055 using both 3percent and 7-percent discount rates.
For presentational simplicity, we use
the mid-point of the range of PM2.5
benefits in the annual 2055 net benefit
calculation. For the calculation of PV
and EAV net benefits, we use the highend estimate of PM2.5 benefits assuming
a 3-percent discount rate and the lowend estimate of benefits assuming a 7percent discount rate in the
corresponding 3- and 7-percent PV and
EAV estimates. These choices do not
fundamentally alter the net benefit
calculations since differences between
the chosen PM2.5 benefit estimates are
not reflected when net benefits are
rounded to two significant figures.
These net benefits include benefits
associated with reduced vehicle GHGs
and increased EGU CO2 emissions, but
do not include any impacts associated
with petroleum extraction, petroleum
transportation or liquid fuel refining.
TABLE VIII–6—NET BENEFITS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE
[Millions of 2021 dollars]
Proposal
Average
5%
Average
lotter on DSK11XQN23PROD with PROPOSALS2
2055 ..........................................................................................
PV, 3% ......................................................................................
PV, 7% ......................................................................................
EAV, 3% ....................................................................................
EAV, 7% ....................................................................................
$39,000
260,000
120,000
14,000
9,300
3%
Average
$46,000
320,000
180,000
17,000
12,000
Alternative
2.5%
Average
$50,000
370,000
230,000
19,000
14,000
3% 95th
Percentile
$68,000
500,000
360,000
26,000
22,000
5%
Average
$28,000
180,000
86,000
9,800
6,800
3%
Average
$33,000
230,000
130,000
12,000
9,000
2.5%
Average
$36,000
260,000
170,000
13,000
10,000
3% 95th
percentile
$49,000
360,000
260,000
19,000
16,000
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social cost of
carbon (SC-CO2), the social cost of methane (SC-CH4), and the social cost of nitrous oxide (SC-N2O) (model average at 2.5-percent, 3-percent, and 5-percent discount rates; 95th percentile at 3-percent discount rate). The 95th perncentile estimate was included to provide information on potentially higher-than-expected economic impacts from climate change, conditional on the 3 percent estimate of the discount rate. We emphasize the importance and value of considering the benefits
calculated using all four SC-CO2, SC-CH4, and SC-N2O estimates. As discussed in the Technical Support Document: Social Cost of Carbon, Methane, and Nitrous
Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate benefits calculated using discount rates below 3 percent, including 2
percent and lower, are also warranted when discounting intergenerational impacts. The same discount rate used to discount the value of damages from future emissions (SC-GHG at 5, 3, 2.5 percent) is used to calculate present value of SC-GHGs for internal consistency, while all other costs and benefits are discounted at either
3 percent or 7 percent. Annual costs and benefits in 2055 are undiscounted values. Note that the benefits attributable to reductions in non-GHG pollutants associated
with the standards included here do not include the full complement of health and environmental effects that, if quantified and monetized, would increase the total
monetized benefits. Instead, the non-GHG pollutant benefits are based on benefit-per-ton values that reflect only human health impacts associated with reductions in
PM2.5 exposure. For the purposes of presentational clarity in the calculation of net benefits, PM2.5-related benefits are averaged across the range of alternative estimates for 2055. For PV and EAV estimated with a 3% discount rate, we calculate net benefits using PM2.5-related benefits based on the Pope III et al., 2019 study of
premature mortality. For PV and EAV estimated with a 7% discount rate, net benefits reflect PM2.5-related benefits based on the Wu et al., 2020 study.
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We summarize the vehicle costs,
operational savings, and benefits of the
proposal, as shown in Table VIII–7.
Table VIII–7 presents the proposal’s
costs from Table VIII–1, operating
savings from Table VIII–2, benefits from
Table VIII–3 through Table VIII–5, and
net benefits from Table VIII–6 in a
single table.
TABLE VIII–7—SUMMARY OF VEHICLE COSTS, OPERATING SAVINGS, AND BENEFITS OF THE PROPOSAL
[Billions of 2021 dollars]
CY 2055
Vehicle Technology Package RPE ......................................
EVSE RPE ...........................................................................
Sum of Vehicle Costs ..........................................................
Pre-tax Fuel Savings ...........................................................
Diesel Exhaust Fluid Savings ..............................................
Repair & Maintenance Savings ...........................................
Sum of Operating Savings ...................................................
Energy Security Benefits .....................................................
Climate Benefits: a
5% Average ..................................................................
3% Average ..................................................................
2.5% Average ...............................................................
3% 95th Percentile .......................................................
Criteria Air Pollutant Benefits: b
PM2.5 Health Benefits—Wu et al., 2020 ......................
PM2.5 Health Benefits—Pope III et al., 2019 ...............
Net Benefits: a c
With Climate 5% Average ............................................
With Climate 3% Average ............................................
With Climate 2.5% Average .........................................
With Climate 3% 95th Percentile ..................................
PV, 3%
PV, 7%
EAV, 3%
EAV, 7%
¥$1.5
2.9
1.40
4
2.3
24
31
1.3
$9
47
56
28
22
200
250
12
$10
29
39
14
11
99
120
6.0
$0.47
2.5
2.9
1.4
1.1
10
13
0.62
$0.82
2.3
3.2
1.1
0.9
8
10
0.49
4.4
11
15
33
22
87
130
260
22
87
130
260
1.4
4.6
6.5
14
1.4
4.6
6.5
14
2.4–2.7
4.6–5.2
15
29
5.8
11.0
0.78
1.5
0.47
0.91
39
46
50
68
260
320
370
500
120
180
230
360
14
17
19
26
9.3
12
14
22
a The same discount rate used to discount the value of damages from future emissions (SC-GHG at 5, 3, 2.5 percent) is used to calculate
present and equivalent annualized values of SC-GHGs for internal consistency, while all other costs and benefits are discounted at either 3% or
7%.
b PM
2.5-related health benefits are presented based on two different long-term exposure studies of mortality risk: a Medicare study (Wu et al.,
2020) and a National Health Interview Survey study (Pope III et al., 2019). The benefits associated with the standards presented here do not include health benefits associated with reduced criteria pollutant emissions from refineries. The benefits in this table also do not include the full
complement of health and environmental benefits that, if quantified and monetized, would increase the total monetized benefits. The range of
benefits in CY2055 are estimated using either a 3% or 7% discount rate to account for avoided health outcomes that are expected to accrue
over more than a single year.
c For criteria pollutant benefits included in the calculation of net benefits, PM
2.5-related benefits are averaged across the range of estimates in
CY2055. For presentational clarity, the present and equivalent annualized value of net benefits for a 3% discount rate reflect benefits based on
the Pope III et al. study while the present and equivalent annualized value of net benefits for a 7% discount rate reflect benefits based on the Wu
et al. study.
We have also estimated the total
transfers associated with the proposed
CO2 emission standards, as shown in
Table VIII–8. The transfers consist of the
IRA battery tax credit and vehicle tax
credit and fuel taxes. None of these are
included in the prior tables (i.e., Table
VIII–1, Table VIII–2, and Table VIII–6)
in this section’s comparison of benefits
and costs.
TABLE VIII–8—TRANSFERS ASSOCIATED WITH THE PROPOSAL AND THE ALTERNATIVE
[Millions of 2021 dollars]
Proposal
Battery tax
credits
lotter on DSK11XQN23PROD with PROPOSALS2
2055 ..................................................
PV, 3% ..............................................
PV, 7% ..............................................
EAV, 3% ............................................
EAV, 7% ............................................
$0
3,300
2,900
170
240
IX. Analysis of Alternative CO2
Emission Standards
As discussed throughout this
preamble, in developing this proposal,
EPA considered and is requesting
comment on a regulatory alternative that
would establish less stringent CO2
emission standards and, thus, would
result in fewer GHG emission
reductions than the CO2 emission
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credits
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$0
5,900
5,000
310
410
Alternative
Fuel taxes
Sum
$6,600
69,000
37,000
3,600
3,000
Battery tax
credits
$6,600
79,000
44,000
4,100
3,600
standards we are proposing. This
section presents estimates of technology
costs, CO2 emission reductions, fuel
savings, and other impacts associated
with the alternative. We request
comment on this analysis for the
alternative set of CO2 standards. See
Section II.H for our request for comment
regarding the alternative set of standards
than those proposed.
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Vehicle tax
credits
$0
2,300
2,000
120
160
$0
3,900
3,400
210
270
Fuel taxes
$4,700
50,000
26,000
2,600
2,100
Sum
$4,700
56,000
31,000
2,900
2,600
We also are seeking comment on a
more stringent set of emission standards
that would be based on higher ZEV
adoption rates on a national level
around the same levels as the adoption
rates included in the California ACT
rule, as described in Section II.H.
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A. Comparison of Proposal and
Alternative
The alternative represents a slower
phase-in option for program
implementation, which represents
differences in timing, costs, and benefits
of a HD vehicle CO2 emissions program.
Specifically, the alternative has both a
less aggressive phase-in of CO2
emissions standards from MYs 2027
through 2031 and a less stringent
standard for MYs 2032 and beyond. The
alternative was modeled using the same
methodologies used to model the
proposal, as described in Chapters 3 and
4 of the DRIA.
1. Slower Phase-In Alternative
EPA developed and considered an
alternative with a more gradual phasein of CO2 emission standards for MYs
2027 through MY 2031 and a less
stringent final standard in MY 2032, as
discussed in Section II.H. The ZEV
adoption rates associated with level of
stringency for MYs 2027 through 2032
under the slower phase-in alternative
are shown in Table IX–1. The slower
phase-in alternative ZEV adoption rates
by regulatory subcategory and by MY
are shown in DRIA Chapter 2.9.5. The
slower phase-in alternative standards,
presented in Table IX–2 through Table
IX–5, are calculated using the same
method as the proposed standards, as
described in Preamble Sections II.F.2
and II.F.3, using the alternative ZEV
adoption rates by regulatory
subcategory.
TABLE IX–1—ZEV TECHNOLOGY ADOPTION RATES IN THE TECHNOLOGY PACKAGES CONSIDERED FOR THE ALTERNATIVE
MY 2027
(%)
Vocational ................................................
Short-Haul Tractors ..................................
Long-Haul Tractors ..................................
MY 2028
(%)
14
5
0
MY 2029
(%)
20
8
0
MY 2030
(%)
25
10
0
MY 2032
and later
(%)
MY 2031
(%)
30
15
10
35
20
15
40
25
20
TABLE IX–2—ALTERNATIVE MY 2027 THROUGH 2032+ VOCATIONAL VEHICLE CO2 EMISSION STANDARDS
[Grams/ton-mile]
CI light
heavy
Model year
Subcategory
2027 ....................................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
2028 ....................................
2029 ....................................
2030 ....................................
2031 ....................................
2032 and later .....................
CI medium
heavy
318
281
242
294
257
218
275
238
199
255
218
179
235
198
159
215
178
139
CI heavy
heavy
227
204
187
218
195
178
211
188
171
206
183
166
199
176
159
192
169
152
244
205
164
239
200
159
235
196
155
212
173
132
205
166
125
195
156
115
SI light
heavy
SI medium
heavy
364
323
270
340
299
246
321
280
227
301
260
207
281
240
187
261
220
167
266
237
216
257
228
207
250
221
200
245
216
195
238
209
188
231
202
181
TABLE IX–3—ALTERNATIVE MY 2027 THROUGH 2032+ OPTIONAL CUSTOM CHASSIS VOCATIONAL VEHICLE CO2
EMISSION STANDARDS
[Grams/ton-mile]
lotter on DSK11XQN23PROD with PROPOSALS2
Optional custom chassis vehicle category
MY 2027
School Bus ...............................................
Other Bus .................................................
Coach Bus ...............................................
Refuse Hauler ..........................................
Concrete Mixer .........................................
Motor home ..............................................
Mixed-use vehicle ....................................
Emergency vehicle ...................................
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214
286
205
265
275
226
316
319
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203
269
205
253
265
226
316
319
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MY 2030
195
252
205
241
256
226
316
319
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190
237
185
232
246
226
316
319
27APP2
MY 2031
182
223
174
221
237
226
316
319
MY 2032
and later
173
206
164
212
228
226
316
319
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE IX–4—ALTERNATIVE MY 2027 THROUGH MY 2032+ TRACTOR CO2 EMISSION STANDARDS
[Grams/ton-mile]
Class 7 all
cab styles
Model year
Roof height
.........................................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
Low Roof ........................................................
Mid Roof .........................................................
High Roof .......................................................
2028 ................................................................
2029 ................................................................
2030 ................................................................
2031 ................................................................
2032 and Later ................................................
Based on our current analysis for each
TABLE IX–5—ALTERNATIVE MY 2027
THROUGH MY 2032+ HEAVY-HAUL of the vocational vehicle and tractor
TRACTOR CO2 EMISSION STAND- subcategories, there appear to be
ARDS
[Grams/ton-mile]
Model Year
2027
2028
2029
2030
2031
2032
CO2 Emission
standards
(grams/tonmile)
......................................
......................................
......................................
......................................
......................................
and Later .....................
48.3
48.3
48.3
44.0
43.0
42.5
technically feasible emission standards
available that provide for greater CO2
emission reductions through the
proposed standards than through the
slower phase-in alternative. As
explained in section II.H, the proposed
standards are therefore appropriate.
Consequently, at this time, EPA does
not believe that the slower phase-in
alternative would be appropriate.
91.4
98.2
95.0
88.5
95.1
92.0
86.6
93.1
90.0
81.8
87.9
85.0
77.0
82.7
80.0
72.2
77.6
75.0
Class 8 day
cab
Class 8
sleeper cab
69.7
74.1
71.9
67.5
71.8
69.6
66.1
70.2
68.1
62.4
66.3
64.3
58.7
62.4
60.6
55.1
58.5
56.8
64.1
69.6
64.3
64.1
69.6
64.3
64.1
69.6
64.3
57.7
62.6
57.9
54.5
59.2
54.7
51.3
55.7
51.4
in Section IV of this preamble and
Chapter 4 of the DRIA. The ZEV
adoption rates in the technology
packages associated with the proposed
level of stringency for MYs 2027
through 2032 under the proposal are
shown in Table IX–6.
2. Proposed CO2 Emission Standards
Details regarding MOVES modeling of
these proposed standards are included
TABLE IX–6—ZEV TECHNOLOGY ADOPTION RATES IN THE TECHNOLOGY PACKAGES CONSIDERED FOR THE PROPOSED
STANDARDS
MY 2027
(%)
lotter on DSK11XQN23PROD with PROPOSALS2
Vocational ................................................
Short-Haul Tractors ..................................
Long-Haul Tractors ..................................
20
10
0
The bases for each of the proposed
CO2 emission standards by model year
and industry segment are discussed
more fully earlier in this preamble
Section II and in Chapter 2 of the DRIA.
Section II of this preamble include
explanation of how EPA arrived at the
proposed CO2 emission standards,
including discussion of the technologies
upon which the CO2 emission standards
are based and why the standards are
reasonable in light of these technologies,
based on all of the information available
to us at the time of this proposal.
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MY 2028
(%)
MY 2029
(%)
25
12
0
MY 2030
(%)
30
15
0
B. Emission Inventory Comparison of
Proposal and Slower Phase-In
Alternative
Both the proposal and alternative
were modeled in MOVES3.R3 by
increasing ZEV adoption in HD
vehicles, which means we model the
alternative as displacing fewer HD ICE
vehicles than the proposal. In general,
this means the alternative has both
lower downstream emission reductions
and lower upstream EGU emission
increases when compared to the
proposal. Chapter 4.7 of the DRIA
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MY 2031
(%)
35
20
10
MY 2032
and later
40
30
20
50
35
25
contains more discussion on the
emission impacts of the alternative.
1. Downstream Emission Comparison
Our estimates of the downstream
emission reductions of GHGs that would
result from the alternative, relative to
the reference case, are presented in
Table IX–7 for calendar years 2035,
2045, and 2055. Total GHG emissions,
or CO2 equivalent (CO2e), are calculated
by summing all GHG emissions
multiplied by their 100-year Global
Warming Potential (GWP).
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26085
TABLE IX–7—ANNUAL DOWNSTREAM HEAVY-DUTY GHG EMISSION REDUCTIONS FROM THE ALTERNATIVE IN CALENDAR
YEARS (CY) 2035, 2045, AND 2055
CY 2035 reductions
Pollutant
100-year GWP
Carbon Dioxide (CO2) ..
Methane (CH4) .............
Nitrous Oxide (N2O) .....
CO2 Equivalent (CO2e)
1
25
298
........................
Million
metric tons
Percent
(%)
36
0.003
0.005
38
Our estimated GHG emission
reductions for the alternative are lower
than for the proposal (see Section V of
the preamble). In 2055, we estimate that
the alternative would reduce emissions
of CO2 by 22 percent (the proposal’s
estimate is 30 percent), methane by 22
CY 2045 reductions
Million
metric tons
9
5
9
9
CY 2055 reductions
Percent
(%)
73
0.011
0.009
76
percent (the proposal’s estimate is 31
percent), and N2O by 20 percent (the
proposal’s estimate is 28 percent). The
resulting total GHG reduction, in CO2e,
is 22 percent for the alternative versus
30 percent for the proposal.
Million
metric tons
19
17
17
19
Percent
(%)
90
0.022
0.011
94
22
22
20
22
The warming impacts of GHGs are
cumulative. Table IX–8 presents the
cumulative GHG reductions that would
result from the proposed standards and
the alternative in 2055, in billion metric
tons (BMT).
TABLE IX–8—CUMULATIVE 2027–2055 DOWNSTREAM HEAVY-DUTY GHG EMISSION REDUCTIONS FROM THE PROPOSED
STANDARDS AND THE ALTERNATIVE
Proposal GHG reductions
Pollutant
BMT
Carbon Dioxide (CO2) ......................................................................................
Methane (CH4) .................................................................................................
Nitrous Oxide (N2O) .........................................................................................
CO2 Equivalent (CO2e) ....................................................................................
Consistent with Table IX–7, the
cumulative GHG emission reductions
are smaller for the alternative than the
proposal.
Percent
(%)
2.2
0.00035
0.00028
2.3
We anticipate an increase in the use
of zero-emission technologies to meet
the CO2 emission standards for both the
proposal and the alternative. Therefore,
Alternative GHG reductions
BMT
18
17
17
18
Percent
(%)
1.6
0.00025
0.0002
1.6
13
12
12
13
we also expect downstream emission
reductions for criteria pollutants and air
toxics would result from the alternative,
as presented in Table IX–9.
TABLE IX–9—ANNUAL DOWNSTREAM HD CRITERIA POLLUTANT AND AIR TOXIC EMISSION REDUCTIONS FROM THE
ALTERNATIVE IN CALENDAR YEARS (CYS) 2035, 2045, AND 2055
CY 2035 reductions
Pollutant
U.S. tons
Nitrogen Oxides (NOX) ............................
Primary Exhaust PM2.5 ............................
Volatile Organic Compounds (VOC) ........
Sulfur Dioxide (SO2) ................................
Carbon Monoxide (CO) ............................
1,3-Butadiene ...........................................
Acetaldehyde ...........................................
Benzene ...................................................
Formaldehyde ..........................................
Naphthalene a ...........................................
Ethylbenzene ...........................................
lotter on DSK11XQN23PROD with PROPOSALS2
a Naphthalene
Percent
(%)
11,471
199
4,438
147
70,292
14
91
82
61
5
52
U.S. tons
3
5
8
10
8
17
8
13
6
7
9
CY 2055 reductions
Percent
(%)
40,460
501
10,366
298
176,283
35
216
208
157
11
128
U.S. tons
15
22
21
19
20
34
22
30
20
28
22
51,027
701
15,139
373
252,482
50
326
302
258
16
195
Percent
(%)
20
28
27
23
25
38
26
36
24
33
30
includes both gas and particle phase emissions.
Once again, the emission reductions
in criteria pollutants and air toxics that
would result from the alternative are
smaller than those that would result
from the proposal. For example, in
2055, we estimate the alternative would
reduce NOX emissions by 20 percent,
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PM2.5 emissions by 28 percent, and VOC
emissions by 27 percent. This is
compared to the proposal’s reductions
of NOX by 28 percent, PM2.5 by 39
percent, and VOC by 37 percent for the
proposal. Reductions in emissions for
air toxics from the alternative range
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from 24 percent for formaldehyde (the
proposal’s estimate is 33 percent) to 38
percent for 1,3-butadiene (the proposal’s
estimate is 51 percent).
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proposed standards, relative to the
reference case, are presented in Table
2. Upstream Emission Comparison
Our estimates of the additional CO2
emissions from EGUs due to the
IX–10 for calendar years 2035, 2045,
and 2055.
TABLE IX–10—ANNUAL UPSTREAM EGU CO2 EMISSION INCREASES FROM THE ALTERNATIVE IN CALENDAR YEARS (CYS)
2035, 2045, AND 2055
Additional EGU emissions
(million metric tons)
Pollutant
CY 2035
Carbon Dioxide (CO2) .................................................................................................................
In 2055, we estimate the alternative
would increase EGU emissions of CO2
by 8 million metric tons, compared to
11 million metric tons from the
proposal. The EGU impacts decrease
over time because of projected changes
in the power generation mix.
TABLE IX–11—CUMULATIVE 2027–
2055 EGU CO2 EMISSION INCREASES REFLECTING THE PROPOSED AND ALTERNATIVE GHG
STANDARDS
Pollutant
In Table IX–11, we present the
cumulative CO2 increases from EGUs
that we expect would result from the
proposal and alternative, measured in
billion metric tons (BMT).
CY 2045
15
CY 2055
12
8
We estimate the alternative would
result in 0.3 billion metric tons of
increased CO2 emissions from EGUs,
compared to 0.4 billion metric tons from
the proposal.
Table IX–12 contains our estimates of
EGU emission increases from the
alternative for some criteria pollutants.
Alternative
In general, we expect the EGU emissions
increases from the alternative to be 20
to 30 percent smaller than for the
0.3 proposal.
EGU CO2 emissions increase
(BMT)
Proposal
Carbon Dioxide
(CO2) .....
0.4
TABLE IX–12—ANNUAL CRITERIA POLLUTANT EMISSION INCREASES FROM EGUS FROM THE ALTERNATIVE IN CALENDAR
YEARS (CYS) 2035, 2045, AND 2055
Additional EGU emissions
(U.S. tons)
Pollutant
CY 2035
Nitrogen Oxides (NOX) ................................................................................................................
Primary PM2.5 ..............................................................................................................................
Volatile Organic Compounds (VOC) ...........................................................................................
Sulfur Dioxide (SO2) ....................................................................................................................
1,625
761
563
1,863
CY 2055
575
549
551
666
some upstream emission sources are not
included in the analysis. Although we
expect the alternative to reduce demand
for refined fuels, we did not quantify
emissions changes associated with
producing or extracting crude or
CY 2055 refinery emission
reductions
transporting crude or refined fuels.
Pollutant
(U.S. tons)
Also, because our analysis of refinery
emissions only included select criteria
Proposal
Alternative
pollutants, refinery emission impacts
PM2.5 .........
436
318 are therefore included in net criteria
VOC ..........
1,227
894 emission impacts for 2055 but not net
642
468
TABLE IX–13—CRITERIA POLLUTANT SO2 ...........
CO2 emission impacts. Therefore, this
EMISSION REDUCTIONS FROM REanalysis likely underestimates the net
Like the downstream emission
FINERIES FROM THE PROPOSAL AND
emissions reductions that may result
reductions and the EGU emission
ALTERNATIVE IN 2055
from the alternative.
increases, the refinery emission impacts
Table IX–14 shows a summary of our
of the alternative are 20 to 30 percent
CY 2055 refinery emission
modeled downstream, upstream, and
smaller than the proposal.
reductions
Pollutant
(U.S. tons)
net CO2 emission impacts of the
3. Comparison of Net Emissions Impacts
alternative relative to the reference case,
Proposal
Alternative
While we present a net emissions
in million metric tons, for calendar
years 2035, 2045, and 2055.
NOX ...........
1,785
1,298 impact of the alternative CO2 emission
standards, it is important to note that
In addition to downstream and EGU
emissions impacts, we also estimated
impacts on select criteria pollutant
emissions from refineries for calendar
year 2055. This analysis assumes that
the reduction in demand for liquid fuels
would lead to reduced activity and
emissions at refineries. The results are
presented in Table IX–13. Additional
detail on the refinery analysis is
available in Chapter 4.3.3 of the DRIA.
lotter on DSK11XQN23PROD with PROPOSALS2
2,054
885
458
7,235
CY 2045
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EMISSION REDUCTIONS FROM REFINERIES FROM THE PROPOSAL AND
ALTERNATIVE IN 2055—Continued
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TABLE IX–14—ANNUAL NET CO2 EMISSION IMPACTS a FROM THE ALTERNATIVE IN CALENDAR YEARS (CYS) 2035, 2045,
AND 2055
CY 2035 impacts
(MMT)
Pollutant
Downstream
a We
EGU
¥36
CO2 .......
CY 2045 impacts
(MMT)
Net
Downstream
¥22
15
CY 2055 impacts
(MMT)
EGU
¥73
Net
Downstream
¥62
12
EGU
¥90
Net
¥82
8
present emissions reductions as negative numbers and emission increases as positive numbers.
In 2055, we estimate the alternative
would result in a net decrease of 82
million metric tons of CO2 emissions.
The net reduction for the proposal is
114 million metric tons. The net
decreases become larger between 2035
and 2055 as we project the HD fleet to
turn over and the power grid to use less
fossil fuels.
In Table IX–15, we present the
cumulative net CO2 emissions impact
that we expect would result from the
proposed standards and the alternative,
in billion metric tons (BMT). Overall,
we expect downstream reduction in CO2
emissions to be far larger than upstream
increases from EGUs, and we expect the
alternative would result in a net
reduction of 1.3 billion metric tons from
CYs 2027 to 2055. This is about 28
percent less than the 1.8 billion metric
tons of cumulative CO2 emissions
reductions we expect from the proposal.
TABLE IX–15—CUMULATIVE 2027–2055 EGU CO2 EMISSION IMPACTS a (IN BMT) OF THE ALTERNATIVE
Proposal
Alterative
Pollutant
Downstream
¥2.2
Carbon Dioxide (CO2) ..............................
a We
EGU
Net
0.4
Downstream
EGU
¥1.6
1.8
Net
0.3
1.3
present emissions reductions as negative numbers and emission increases as positive numbers.
Table IX–16 contains a summary of
the modeled net impacts of the
alternative CO2 emission standards on
criteria pollutant emissions considering
downstream and EGUs, relative to the
reference case for calendar years 2035
and 2045. Table IX–17 contains a
similar summary for calendar year 2055
that includes estimates of net impacts of
refinery, EGU, and downstream
emissions.
TABLE IX–16—ANNUAL NET IMPACTS a ON CRITERIA POLLUTANT EMISSIONS FROM THE ALTERNATIVE IN CALENDAR
YEARS (CYS) 2035 AND 2045
CY 2035 impacts
(U.S. tons)
Pollutant
Downstream
NOX ..........................................................
PM2.5 ........................................................
VOC .........................................................
SO2 ..........................................................
a We
¥11,471
¥199
¥4,438
¥147
CY 2045 impacts
(U.S. tons)
EGU
Net
¥9,417
687
¥3,980
7,088
2,054
885
458
7,235
Downstream
EGU
¥40,460
¥501
¥10,366
¥298
1,625
761
563
1,863
Net
¥38,836
260
¥9,802
1,565
present emissions reductions as negative numbers and emission increases as positive numbers.
TABLE IX–17—NET IMPACTS a ON CRITERIA POLLUTANT EMISSIONS FROM THE ALTERNATIVE IN CY 2055
CY 2055 impacts
(U.S. tons)
Pollutant
Downstream
NOX ..................................................................................................................
PM2.5 ................................................................................................................
VOC .................................................................................................................
SO2 ..................................................................................................................
lotter on DSK11XQN23PROD with PROPOSALS2
a We
EGU
¥51,027
¥701
¥15,139
¥373
Refinery
575
549
551
666
present emissions reductions as negative numbers and emission increases as positive numbers.
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27APP2
¥1,298
¥318
¥894
¥468
Net
¥51,750
¥471
¥15,482
¥175
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By 2055, when considering
downstream, EGU, and refinery
emissions, we estimate a net decrease in
emissions from all pollutants modeled
(i.e., NOX, PM2.5, VOC, and SO2). In
earlier years, when considering only
downstream and EGU emissions, we
estimate net decreases of NOX and VOC
emissions, but net increases of PM2.5
and SO2 emissions. These increases
become smaller over time. All net
emission impacts for the alternative,
whether they are positive or negative,
are smaller in magnitude than for the
proposal.
C. Program Costs Comparison of
Proposal and Alternative
Using the cost elements outlined in
Sections IV.B, IV.C, and IV.D, we have
estimated the costs associated with the
proposal and alternative relative to the
reference case, as shown in Table IX–18.
Costs are presented in more detail in
Chapter 3 of the DRIA. As noted earlier,
costs are presented in 2021 dollars in
undiscounted annual values along with
net present values at both 3- and 7percent discount rates with values
discounted to the 2027 calendar year.
As shown in Table IX–18, our
analysis shows that the proposal
scenario would have the lowest cost.
TABLE IX–18—TOTAL TECHNOLOGY, OPERATING COST AND EVSE COST IMPACTS OF THE PROPOSED OPTION RELATIVE
TO THE REFERENCE CASE AND THE ALTERNATIVE OPTION RELATIVE TO THE REFERENCE CASE, ALL REGULATORY
CLASSES AND ALL FUELS,
[Millions of 2021 dollars] a
Proposal
Calendar
year
Total
technology
costs
2027 ..................................
2028 ..................................
2029 ..................................
2030 ..................................
2031 ..................................
2032 ..................................
2033 ..................................
2034 ..................................
2035 ..................................
2036 ..................................
2037 ..................................
2038 ..................................
2039 ..................................
2040 ..................................
2041 ..................................
2042 ..................................
2043 ..................................
2044 ..................................
2045 ..................................
2046 ..................................
2047 ..................................
2048 ..................................
2049 ..................................
2050 ..................................
2051 ..................................
2052 ..................................
2053 ..................................
2054 ..................................
2055 ..................................
PV, 3% ..............................
PV, 7% ..............................
EAV, 3% ............................
EAV, 7% ............................
Total operating
costs
$2,000
1,800
1,700
2,000
2,300
2,000
1,500
1,300
1,000
750
620
410
220
140
¥40
¥200
¥360
¥410
¥550
¥690
¥820
¥850
¥970
¥1,100
¥1,100
¥1,200
¥1,300
¥1,400
¥1,500
9,000
10,000
470
820
Alternative
Total EVSE
costs
¥$330
¥790
¥1,400
¥2,100
¥2,800
¥3,800
¥4,900
¥6,100
¥7,400
¥8,700
¥10,000
¥12,000
¥13,000
¥14,000
¥16,000
¥17,000
¥18,000
¥20,000
¥21,000
¥22,000
¥23,000
¥24,000
¥25,000
¥26,000
¥27,000
¥28,000
¥29,000
¥30,000
¥31,000
¥250,000
¥120,000
¥13,000
¥10,000
Total program
cost
$1,300
1,600
1,900
2,000
2,200
2,600
2,600
2,600
2,500
2,500
2,500
2,500
2,600
2,600
2,600
2,600
2,700
2,700
2,700
2,700
2,700
2,700
2,800
2,800
2,800
2,900
2,900
2,900
2,900
47,000
29,000
2,500
2,300
Total
technology
costs
$3,000
2,500
2,200
1,900
1,700
860
¥820
¥2,200
¥3,800
¥5,500
¥7,000
¥8,700
¥10,000
¥12,000
¥13,000
¥15,000
¥16,000
¥18,000
¥19,000
¥20,000
¥22,000
¥22,000
¥23,000
¥24,000
¥25,000
¥26,000
¥27,000
¥28,000
¥29,000
¥190,000
¥85,000
¥10,000
¥6,900
Total operating
costs
$920
1,100
1,000
1,400
1,400
1,400
960
810
620
440
350
200
70
9
¥120
¥230
¥340
¥370
¥480
¥570
¥670
¥680
¥770
¥850
¥860
¥940
¥1,000
¥1,100
¥1,200
4,000
5,400
210
440
¥$180
¥490
¥920
¥1,400
¥2,000
¥2,700
¥3,500
¥4,300
¥5,200
¥6,200
¥7,200
¥8,200
¥9,100
¥10,000
¥11,000
¥12,000
¥13,000
¥14,000
¥15,000
¥16,000
¥17,000
¥17,000
¥18,000
¥18,000
¥19,000
¥20,000
¥21,000
¥21,000
¥22,000
¥180,000
¥87,000
¥9,100
¥7,100
Total EVSE
costs
$710
1,100
1,300
1,500
1,700
1,900
1,800
1,800
1,700
1,700
1,700
1,700
1,800
1,800
1,800
1,800
1,800
1,900
1,900
1,900
1,900
1,900
1,900
1,900
2,000
2,000
2,000
2,000
2,100
33,000
20,000
1,700
1,600
Total program
cost
$1,400
1,600
1,400
1,400
1,100
510
¥710
¥1,700
¥2,900
¥4,000
¥5,100
¥6,300
¥7,300
¥8,400
¥9,400
¥10,000
¥12,000
¥13,000
¥13,000
¥14,000
¥15,000
¥16,000
¥17,000
¥17,000
¥18,000
¥19,000
¥20,000
¥20,000
¥21,000
¥140,000
¥62,000
¥7,200
¥5,100
a Values show 2 significant digits; negative cost values denote savings; calendar year values are undiscounted, present values are discounted to 2027. Program
Cost is the sum of Total Tech Cost, Total Operating Cost, and total EVSE costs.
D. Benefits
lotter on DSK11XQN23PROD with PROPOSALS2
1. Social Cost of GHGs
Our estimates of the climate benefits
from the GHG emissions reductions
associated with the alternative are
similar to those discussed for the
proposal in Section VII of this preamble.
Table IX–19 presents the estimated
annual, undiscounted climate benefits
(i.e., total GHG benefits), and
consequently the annual quantified
benefits (i.e., total GHG benefits), for
each of the four interim social cost of
GHG (SC–GHG) values estimated by the
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Interagency Working Group on Social
Cost of Greenhouse Gases 1007 for the
years beginning with the first year of
rule implementation, 2027, through
2055 for the proposed program. Also
shown are the present values and
1007 Interagency Working Group on Social Cost of
Greenhouse Gases (IWG). 2021. Technical Support
Document: Social Cost of Carbon, Methane, and
Nitrous Oxide Interim Estimates under Executive
Order 13990. February. United States Government.
Available at: https://www.whitehouse.gov/briefingroom/blog/2021/02/26/a-return-to-scienceevidence-based-estimates-of-the-benefits-ofreducing-climate-pollution/.
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equivalent annualized values associated
with each of the four interim SC–GHG
values. For more detailed information
about the climate benefits analysis
conducted for the proposed and
alternative programs, please refer to
Section 7.1 of the draft RIA. Our
analysis includes CO2 emission
increases from EGUs (see Section V and
Section IX.B); however, it does not
include upstream emissions impacts
associated with liquid fuel refining.
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TABLE IX–19—CLIMATE BENEFITS FROM REDUCTION IN GHG EMISSIONS ASSOCIATED WITH THE PROPOSAL AND
ALTERNATIVE, MILLIONS OF 2021 DOLLARS
Proposal
Calendar
year
Total
technology
costs
Total operating
costs
5% Average .......................
3% Average
2.5% Average
2027 ..................................
2028 ..................................
2029 ..................................
2030 ..................................
2031 ..................................
2032 ..................................
2033 ..................................
2034 ..................................
2035 ..................................
2036 ..................................
2037 ..................................
2038 ..................................
2039 ..................................
2040 ..................................
2041 ..................................
2042 ..................................
2043 ..................................
2044 ..................................
2045 ..................................
2046 ..................................
2047 ..................................
2048 ..................................
2049 ..................................
2050 ..................................
2051 ..................................
2052 ..................................
2053 ..................................
2054 ..................................
2055 ..................................
PV ......................................
EAV ...................................
33
74
120
190
290
410
530
660
780
940
1,100
1,300
1,500
1,700
1,900
2,100
2,300
2,500
2,700
2,900
3,100
3,300
3,500
3,700
3,800
4,000
4,100
4,300
4,400
22,000
1,400
$110
240
400
610
900
1,300
1,600
2,000
2,300
2,800
3,300
3,800
4,300
4,900
5,400
5,900
6,500
7,000
7,500
8,000
8,400
8,800
9,200
9,700
10,000
10,000
11,000
11,000
11,000
87,000
4,600
2. Criteria Pollutant Reductions
Table IX–20 presents the total annual,
undiscounted PM2.5-related health
benefits estimated for the stream of
years beginning with the first year of
rule implementation, 2027, through
calendar year 2055 for the proposed and
alternative programs. The range of
benefits in Table IX–20 reflects the
range of premature mortality estimates
based on risk estimates reported from
two different long-term exposure studies
using different cohorts to account for
uncertainty in the benefits associated
Alternative
Total EVSE
costs
Total
technology
costs
Total program
cost
3% 95th
Percentile
$160
350
580
880
1,300
1,800
2,300
2,800
3,300
4,000
4,700
5,400
6,100
6,900
7,600
8,300
9,000
9,800
10,000
11,000
12,000
12,000
13,000
13,000
14,000
14,000
15,000
15,000
15,000
130,000
6,500
Total operating
costs
5% Average
3% Average
2.5% Average
$320
710
1,200
1,800
2,700
3,800
4,900
6,000
7,100
8,500
9,900
12,000
13,000
15,000
16,000
18,000
20,000
21,000
23,000
24,000
26,000
27,000
28,000
30,000
30,000
31,000
32,000
32,000
33,000
260,000
14,000
$17
45
80
130
200
290
380
470
550
670
790
920
1,100
1,200
1,400
1,500
1,700
1,800
2,000
2,100
2,200
2,300
2,500
2,600
2,700
2,900
3,000
3,100
3,200
16,000
1,000
$57
140
250
420
630
890
1,200
1,400
1,700
2,000
2,300
2,700
3,100
3,500
3,900
4,200
4,600
5,000
5,400
5,700
6,000
6,300
6,600
7,000
7,200
7,400
7,600
7,800
8,000
62,000
3,300
with avoiding PM-related premature
deaths.1008 1009 Although annual benefits
presented in the table are not
discounted for the purposes of present
value or annualized value calculations,
annual benefits do reflect the use of 3percent and 7-percent discount rates to
account for avoided health outcomes
that are expected to accrue over more
than a single year (the ‘‘cessation lag’’
between the change in PM exposures
and the total realization of changes in
health effects). The table also displays
the present and annualized value of
estimated benefits that occur from 2027
Total EVSE
costs
3% 95th
Percentile
$83
210
370
610
910
1,300
1,700
2,000
2,400
2,800
3,300
3,800
4,400
4,900
5,400
5,900
6,500
7,000
7,500
7,900
8,300
8,700
9,100
9,600
9,900
10,000
10,000
11,000
11,000
96,000
4,700
Total program
cost
$170
430
760
1,300
1,900
2,700
3,500
4,300
5,000
6,000
7,100
8,200
9,400
11,000
12,000
13,000
14,000
15,000
16,000
17,000
18,000
19,000
20,000
21,000
22,000
22,000
23,000
23,000
24,000
190,000
9,900
to 2055, discounted using both 3percent and 7-percent discount rates
and reported in 2021 dollars. We
estimate that the present value of
benefits for the alternative program is
$11 to $21 billion at a 3 percent
discount rate and $4.2 to $8.2 billion at
a 7 percent discount rate (2021 dollars),
which is less than that of the proposed
program. For more detailed information
about the benefits analysis conducted
for the proposed and alternative
programs, please refer to Chapter 7 of
the draft RIA.
TABLE IX—20-YEAR-OVER-YEAR MONETIZED PM2.5-RELATED HEALTH BENEFITS ASSOCIATED WITH THE PROPOSAL AND
ALTERNATIVE
[Millions of 2021 Dollars]
Proposal
lotter on DSK11XQN23PROD with PROPOSALS2
3% Discount rate
2027
2028
2029
2030
2031
.........................................................................................
.........................................................................................
.........................................................................................
.........................................................................................
.........................................................................................
1008 Wu, X, Braun, D, Schwartz, J,
Kioumourtzoglou, M and Dominici, F (2020).
Evaluating the impact of long-term exposure to fine
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$6.4–13
15–31
26–53
16–33
(22)–(45)
Alternative
7% Discount rate
$5.7–12
13–28
23–48
14–30
(20)–(40)
particulate matter on mortality among the elderly.
Science advances 6(29): eaba5692.
1009 Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S–Y, Bechle, M, Gilliat, KS,
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3% Discount rate
$4.7–9.6
12–25
22–44
12–24
(6.8)–(18)
7% Discount rate
$4.2–8.7
11–22
19–40
11–21
(6.2)–(16)
Vernon, SE and Robinson, AL (2019). Mortality risk
and fine particulate air pollution in a large,
representative cohort of US adults. Environmental
health perspectives 127(7): 077007.
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TABLE IX—20-YEAR-OVER-YEAR MONETIZED PM2.5-RELATED HEALTH BENEFITS ASSOCIATED WITH THE PROPOSAL AND
ALTERNATIVE—Continued
[Millions of 2021 Dollars]
Proposal
3% Discount rate
2032 .........................................................................................
2033 .........................................................................................
2034 .........................................................................................
2035 .........................................................................................
2036 .........................................................................................
2037 .........................................................................................
2038 .........................................................................................
2039 .........................................................................................
2040 .........................................................................................
2041 .........................................................................................
2042 .........................................................................................
2043 .........................................................................................
2044 .........................................................................................
2045 .........................................................................................
2046 .........................................................................................
2047 .........................................................................................
2048 .........................................................................................
2049 .........................................................................................
2050 .........................................................................................
2051 .........................................................................................
2052 .........................................................................................
2053 .........................................................................................
2054 .........................................................................................
2055 .........................................................................................
PV ............................................................................................
EAV ..........................................................................................
(70)–(140)
(120)–(240)
(160)–(330)
(210)–(410)
(110)–(220)
31–62
220–440
440–880
700–1,400
870–1,700
1,000–2,100
1,200–2,400
1,400–2,800
1,600–3,100
1,700–3,400
1,900–3,600
2,000–3,900
2,100–4,100
2,300–4,400
2,300–4,500
2,400–4,700
2,500–4,800
2,600–5,000
2,700–5,200
15,000–29,000
780–1,500
Alternative
7% Discount rate
3% Discount rate
(64)–(130)
(110)–(210)
(150)–(300)
(190)–(370)
(100)–(200)
27–57
200–400
400–790
630–1,300
780–1,500
940–1,900
1,100–2,200
1,300–2,500
1,400–2,800
1,600–3,100
1,700–3,300
1,800–3,500
1,900–3,700
2,000–3,900
2,100–4,100
2,200–4,200
2,300–4,400
2,300–4,500
2,400–4,600
5,800–11,000
470–910
7% Discount rate
(37)–(82)
(67)–(150)
(97)–(210)
(120)–(260)
(57)–(130)
42–76
180–340
340–660
520–1,000
630–1,200
750–1,500
880–1,700
1,000–2,000
1,200–2,300
1,300–2,400
1,300–2,600
1,400–2,800
1,500–3,000
1,600–3,100
1,700–3,300
1,800–3,400
1,800–3,500
1,900–3,600
1,900–3,700
11,000–21,000
570–1,100
(34)–(74)
(61)–(130)
(88)–(190)
(110)–(240)
(53)–(110)
37–67
160–310
300–590
470–920
570–1,100
680–1,300
790–1,600
920–1,800
1,000–2,000
1,100–2,200
1,200–2,400
1,300–2,500
1,400–2,700
1,500–2,800
1,500–2,900
1,600–3,000
1,600–3,100
1,700–3,200
1,700–3,300
4,200–8,200
340–670
Notes:The range of benefits in this table reflect the range of premature mortality estimates derived from the Medicare study (Wu et al., 2020)
and the NHIS study (Pope et al., 2019). All benefits estimates are rounded to two significant figures. Annual benefit values presented here are
not discounted. Negative values in parentheses are health disbenefits related to increases in estimated emissions. The present value of benefits
is the total aggregated value of the series of discounted annual benefits that occur between 2027–2055 (in 2021 dollars) using either a 3% or 7%
discount rate. The benefits associated with the standards presented here do not include health benefits associated with reduced criteria pollutant
emissions from refineries. The benefits in this table also do not include the full complement of health and environmental benefits that, if quantified and monetized, would increase the total monetized benefits.
3. Energy Security
In Table IX–21, EPA presents the
macroeconomic oil security premiums
and the energy security benefits for the
alternative CO2 emission standards for
the years 2027 through 2055. The oil
security premiums and the energy
security benefits for the proposed CO2
emission standards can be found in
Section VII.
TABLE IX—21 OIL SECURITY PREMIUMS (2021$/BARREL) AND THE ENERGY SECURITY BENEFITS (MILLIONS OF 2021$)
FROM 2027–2055 FOR ALTERNATIVE GHG EMISSION STANDARDS 1010
Oil security
premium
(range)
Calendar year
2027 .......................................................................................................................................
2028 .......................................................................................................................................
2029 .......................................................................................................................................
2030 .......................................................................................................................................
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2031 .......................................................................................................................................
2032 .......................................................................................................................................
2033 .......................................................................................................................................
2034 .......................................................................................................................................
1010 ORNL’s oil security premium methodology
provides estimates through 2050. For years 2051–
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$3.57
($0.79–$6.65)
$3.65
($0.80–$6.79)
$3.72
($0.80–$6.92)
$3.79
($0.81–$7.06)
$3.87
($0.85–$7.22)
$3.96
($0.89–$7.38)
$4.04
($0.92–$7.53)
$4.13
($0.96–$7.69)
2055 we use the value of the 2050 oil security
premium.
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27APP2
Benefits
Proposal
Alternative
$15
$8
33
20
55
35
91
63
140
100
210
150
280
200
350
250
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TABLE IX—21 OIL SECURITY PREMIUMS (2021$/BARREL) AND THE ENERGY SECURITY BENEFITS (MILLIONS OF 2021$)
FROM 2027–2055 FOR ALTERNATIVE GHG EMISSION STANDARDS 1010—Continued
Oil security
premium
(range)
Calendar year
2035 .......................................................................................................................................
2036 .......................................................................................................................................
2037 .......................................................................................................................................
2038 .......................................................................................................................................
2039 .......................................................................................................................................
2040 .......................................................................................................................................
2041 .......................................................................................................................................
2042 .......................................................................................................................................
2043 .......................................................................................................................................
2044 .......................................................................................................................................
2045 .......................................................................................................................................
2046 .......................................................................................................................................
2047 .......................................................................................................................................
2048 .......................................................................................................................................
2049 .......................................................................................................................................
2050 .......................................................................................................................................
2051 .......................................................................................................................................
2052 .......................................................................................................................................
2053 .......................................................................................................................................
2054 .......................................................................................................................................
2055 .......................................................................................................................................
PV, 3% ...................................................................................................................................
PV, 7% ...................................................................................................................................
EAV, 3% ................................................................................................................................
EAV, 7% ................................................................................................................................
E. How do the proposal and alternative
compare in overall benefits and costs?
Table IX–22 shows the net benefits for
the proposal and alternative relative to
the baseline, at 3 percent and 7 percent
Benefits
Proposal
$4.21
($1.00–$7.85)
$4.29
($1.03–$7.98)
$4.36
($1.06–$8.11)
$4.44
($1.10–$8.24)
$4.51
($1.13–$8.37)
$4.59
($1.16–$8.50)
$4.65
($1.19–$8.62)
$4.71
($1.21–$8.73)
$4.76
($1.24–$8.85)
$4.82
($1.26–$8.96)
$4.88
($1.29–$9.08)
$4.94
($1.32–$9.18)
$5.00
($1.35–$9.28)
$5.06
($1.37–$9.37)
$5.12
($1.40–$9.46)
$5.18
($1.43–$9.56)
$5.18
($1.43–$9.56)
$5.18
($1.43–$9.56)
$5.18
($1.43–$9.56)
$5.18
($1.43–$9.56)
$5.18
($1.43–$9.56)
..............................
..............................
..............................
..............................
discount rates, respectively. Section
VIII.B of this preamble and Chapter 7 of
the DRIA present more detailed results.
These net benefits include benefits
associated with reduced vehicle GHG
Alternative
420
300
490
350
560
400
620
450
690
490
750
530
800
570
850
610
900
650
940
680
990
710
1,000
740
1,100
760
1,100
790
1,100
810
1,200
840
1,200
850
1,200
870
1,200
890
1,300
900
1,300
910
12,000
6,000
620
490
8,500
4,300
440
350
and non-GHG emissions and EGU CO2
emissions, but do not include any
impacts associated with petroleum
extraction, transportation or liquid fuel
refining.
TABLE IX–22—NET BENEFITS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE
[Millions of 2021 dollars]
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Proposal
5% Average
2055 ..................................
PV, 3% ..............................
PV, 7% ..............................
EAV, 3% ............................
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260,000
120,000
14,000
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2.5% Average
$46,000
320,000
180,000
17,000
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$50,000
370,000
230,000
19,000
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5% Average
$68,000
500,000
360,000
26,000
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$28,000
180,000
86,000
9,800
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$33,000
230,000
130,000
12,000
27APP2
2.5% Average
$36,000
260,000
170,000
13,000
3% 95th
Percentile
$49,000
360,000
260,000
19,000
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TABLE IX–22—NET BENEFITS ASSOCIATED WITH THE PROPOSAL AND ALTERNATIVE—Continued
[Millions of 2021 dollars]
Proposal
5% Average
EAV, 7% ............................
3% Average
9,300
Alternative
2.5% Average
12,000
14,000
3% 95th
Percentile
5% Average
22,000
3% Average
6,800
9,000
2.5% Average
10,000
3% 95th
Percentile
16,000
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social cost of
carbon (SC–CO2), the social cost of methane (SC–CH4), and the social cost of nitrous oxide (SC–N2O) (model average at 2.5 percent, 3 percent, and 5 percent discount rates; 95th percentile at 3 percent discount rate). We emphasize the importance and value of considering the benefits calculated using all four SC–CO2, SC–
CH4, and SC–N2O estimates. As discussed in the Technical Support Document: Social Cost of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate benefits calculated using discount rates below 3 percent, including 2 percent and lower, are also warranted
when discounting intergenerational impacts. The same discount rate used to discount the value of damages from future emissions (SC–GHG at 5, 3, 2.5 percent) is
used to calculate present value of SC–GHGs for internal consistency, while all other costs and benefits are discounted at either 3 percent or 7 percent. Annual costs
and benefits in 2055 shown are undiscounted values. Note that the non-GHG impacts associated with the standards included here do not include the full complement
of health and environmental effects that, if quantified and monetized, would increase the total monetized benefits. Instead, the non-GHG benefits are based on benefit-per-ton values that reflect only human health impacts associated with reductions in PM2.5 exposure. For the purposes of presentational clarity in the calculation of
net benefits, PM2.5-related benefits are averaged across the range of alternative estimates for 2055. For PV and EAV estimated with a 3 percent discount rate, we
calculate net benefits using PM2.5-related benefits based on the Pope III et al., 2019 study of premature mortality. For PV and EAV estimated with a 7 percent discount rate, net benefits reflect PM2.5-related benefits based on the Wu et al., 2020 study.
X. Preemption of State Standards and
Requirements for New Locomotives or
New Engines Used in Locomotives
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A. Overview
In April of 1998, EPA adopted its
first-ever regulations addressing air
pollutant emissions from new
locomotives and new locomotive
engines (including freshly built and
remanufactured) under CAA section
213(a)(5), 42 U.S.C. 7547(a)(5).1011 As
part of the 1998 final rule EPA also
promulgated regulations designed to
codify the nonroad preemption
provisions of section 209(e) of the CAA
and to clarify the prohibition on certain
new nonroad engines or nonroad
vehicles standards by states or political
subdivisions and other requirements
relating to the control of emissions,
including from new locomotives or new
engines used in locomotives. EPA
adopted a regulation that set a period
equivalent in length to 133 percent of
the regulatory useful life of a new
locomotive or engine during which
certain non-Federal requirements are
preempted from applying to
locomotives or engines used in
locomotives.1012 EPA also adopted
regulations to implement the CAA
provisions allowing California to
1011 Emission Standards for Locomotives and
Locomotive Engines, 63 FR 18978 (April 16, 1998),
codified at 40 CFR parts 85, 89 and 92.
1012 For purely informational purposes, EPA notes
that it is not aware that its regulations addressing
the scope of preemption of state regulation of other
types of nonroad engines and nonroad vehicles
present the concerns described here relating to
locomotives. Moreover, EPA’s regulations do not set
an equivalent period of preemption for any other
class of nonroad engines (other than locomotives).
EPA has issued several authorizations of California
regulations relating to other non-new nonroad
standards. See 80 FR 76468 (December 9, 2015); 78
FR 58090 (September 20, 2013). This action does
not reopen any aspect of EPA’s preemption
regulations, policies, or actions regarding any other
nonroad engines or vehicles, or regarding any other
topics besides those expressly described in the text
of the preamble and the proposed regulations.
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request authorization for other nonFederal requirements on non-new
locomotives and engines used in
locomotives not otherwise
prohibited.1013
CAA section 209(e)(2)(B) requires
EPA to promulgate regulations
implementing subsection 209(e), which
addresses the prohibition of state
standards regarding certain classes of
nonroad engines or vehicles and
potential EPA authorization of state
standards for other nonroad engines or
vehicles. The prohibited state standards
or other requirements relating to the
control of emissions include, under
CAA section 209(e)(1)(B), those affecting
new locomotives or new engines used in
locomotives. Such state requirements
cannot be authorized by EPA under
section 209(b), pursuant to the final
sentence of section 209(e)(1), or under
section 209(e)(2). However, section
209(e)(2) requires EPA to authorize,
subject to certain criteria, California’s
adoption and enforcement of standards
and other requirements relating to
control of emissions from nonroad
vehicles or engines other than those
referred to in paragraph 209(e)(1), which
would include non-new locomotives
and non-new engines used in
locomotives.
EPA is concerned that our preemption
regulations as adopted, particularly in
extending preemption well beyond the
CAA language of prohibiting the state
regulation of new locomotives and new
engines used in locomotives and to an
extended point at which locomotives
and engines are no longer new, may no
longer be appropriate.1014 Specifically,
1013 To avoid confusion of the term ‘‘used’’
sometimes meaning ‘‘placed or mounted,’’ we
employ the term ‘‘non-new’’ to describe engines
that do not meet the definition of ‘‘new’’ in section
1074.5.
1014 EPA announced an intent to review this issue
in November 2022. See https://www.epa.gov/
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our existing regulations may have the
unintended effect of both exceeding
Congress’ prescribed prohibition on
state regulation of new locomotives and
engines in section 209(e)(1) and
impeding states from adopting
innovative programs to reduce
locomotive emissions that may be
permissible under CAA section
209(e)(2). In this rule, EPA proposes to
revise our locomotive preemption
regulations to better align with the
precise language Congress provided in
section 209(e) and the Congressional
directive to EPA to implement the
prohibition of state regulation of new
locomotives and new engines used in
locomotives while ensuring that states
are not impeded from adopting
programs as allowed by the CAA to
address the contribution of air pollutant
emissions from non-new locomotives
and engines to their air quality issues.
In this section, EPA outlines the reasons
that its previous extension of the
categorical prohibition of state
regulations applicable to locomotives
and engines up to 133 percent of the
regulatory useful life is not required by
the CAA and may no longer be
appropriate considering developments
since the 1998 rule. We believe it is
necessary to better align our regulatory
text with the plain language of the CAA
to provide regulatory space for state
controls that do not inappropriately
affect the design and manufacture of
new locomotives or new engines used in
locomotives.
B. Background
1. EPA’s New Locomotive and Engine
Standards and the Regulated Fleet 1015
The Clean Air Act amendments of
1990 called on EPA to adopt emission
regulations-emissions-vehicles-and-engines/
petitions-address-harmful-emissions-locomotives.
1015 EPA provides this discussion of the Federal
locomotive requirements under the CAA for
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standards for new locomotives and new
locomotive engines to achieve the
greatest degree of emission reduction
achievable through the application of
technology which EPA determines will
be available for the locomotives or
engines, giving appropriate
consideration to the cost of applying
such technology within the period of
time available to manufacturers and to
associated noise, energy, and safety
factors. CAA section 213(a)(5), 42 U.S.C.
7547(a)(5). From the beginning, EPA’s
new locomotive emission control
program identified two ways by which
locomotives and engines would be
deemed ‘‘new’’ and thus subject to the
standards: EPA imposed emission
standards for so-called ‘‘freshly
manufactured’’ locomotives that have
increasing stringency levels based on
which ‘‘Tier’’ the new locomotive
belongs to, and We applied emission
standards for older locomotives built
beginning in 1973 that would apply
when those older locomotives are
‘‘remanufactured’’ (all of the power
assemblies are either replaced or are
inspected and requalified either all at
once or within a 5-year period)
according to their original Tier. This
approach was necessary due to the very
long service lives of locomotives. As we
explained in the 1998 rule, the service
life of a locomotive can extend to 40
years and beyond, during which period
the engine and the locomotive undergo
several extensive remanufacturing
operations that EPA has determined
makes the locomotive or engine ‘‘new’’
again. These remanufacturing
operations generally consist of, at a
minimum, the replacement of the power
assemblies (i.e., pistons, piston rings,
cylinder liners, cylinder heads, fuel
injectors, valves, etc.) with new
components (or components that are in
new condition) to restore the locomotive
to the condition it was in when
originally manufactured with respect to
performance, durability, and emissions.
Because they are designed to be rebuilt
on a regular schedule, locomotives can
remain in service as long as the main
engine block remains serviceable. EPA’s
locomotive remanufacture program
reduces emissions from these older
locomotives, which are fitted with better
parts and systems when they are
remanufactured and become ‘‘new’’
again. However, the stringency of the
remanufacture standards has been
limited by the extent to which new
background purposes only. In this proposal, EPA is
not reopening the Federal locomotive requirements,
and any comments on such will be deemed beyond
the scope of the action.
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emission control technology can be
retrofit on these older designs.
Not surprisingly, recent fleet profile
data shows that the in-service
locomotive fleet continues to be
dominated by Tier 2 and earlier
locomotives subject to EPA’s less
stringent emission standards.1016
According to data supporting EPA’s
2020 National Emission Inventory, there
are 16,787 locomotives in the Class I
line-haul fleet.1017 Of these, about 26
percent are Tier 3 or Tier 4 locomotives
subject to more stringent emission
standards.1018 The other 74 percent are
Tier 2 or earlier locomotives, broken
down as follows: About 62 percent are
remanufactured to the revised
remanufacture standards adopted in
2008; 11 percent have not been
remanufactured and continue to have
the higher emissions of their original
certification tier; and a small number,
about 1 percent, are unregulated (pre1973) locomotives. Class II and III 1019
railroads are not generally subject to
remanufacturing obligations. To the
extent one of these railroads purchases
a locomotive that was previously
certified to EPA’s standards, then the
railroad must ensure the locomotive
continues to comply with those
standards. The Class II and III line-haul
fleet consists of 3,447 locomotives. Of
these, about 7 percent are Tier 3 or 4
locomotives. The other 93 percent are
Tier 2 or earlier, broken down as
follows: About 39 percent of the
locomotives are unregulated (pre-1973);
48 percent are Tier 0; and The other six
percent are Tier 1 or Tier 2.
Given the large share of older
locomotives in the Class I, II and III
railroad fleets, and their emissions
contribution to ambient concentrations
of air pollution that may cause
violations of national ambient air
quality standards (NAAQS), states and
local entities who must develop state
implementation plans (SIPs)
demonstrating attainment of NAAQS
1016 2020 National Emissions Inventory
Locomotive Methodology Prepared for U.S.
Environmental Protection Agency by Eastern
Research Group, Inc. (May 19, 2022). https://
gaftp.epa.gov/air/nei/2020/doc/supporting_data/
nonpoint/Rail/2020_NEI_Rail_062722.pdf.
1017 The current classification of railroads
adopted by the Surface Transportation Board (STB)
in 2021 is based on annual carrier operating
revenue, as follows: Class I railroads, greater than
$943.9 million; Class II railroads, $42.4 to $943.9
million; Class III railroads less than $42.4 million.
See 49 CFR 1201 (1–1 Classification of Carriers).
1018 EPA took action to set additional emission
standards for new locomotives and engines in 2008;
see final rule published at 73 FR 37096 (June 30,
2008), Control of Emissions of Air Pollution From
Locomotive Engines and Marine CompressionIgnition Engines Less Than 30 Liters per Cylinder.
1019 Ibid.
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26093
have expressed interest in obtaining
greater emissions reductions from this
sector, including possibly adopting
programs to achieve greater emission
reductions from non-new locomotives
beyond those achieved by EPA’s
standards applicable to new
locomotives. States and local entities
have expressed particular interest in
addressing emissions from non-new
locomotives for areas located along high
traffic rail lines and/or in communities
with environmental justice concerns.
However, notwithstanding Congress’
provision in section 209(e)(2) for EPA to
authorize such state efforts, subject to
certain criteria, the agency now believes
that the pre-emption regulation for
locomotives adopted in the 1998 rule
might preclude states (following
California as described Section X.B.2)
from exploring some innovative local
programs.
2. EPA’s Regulatory Preemption of State
Control of Locomotive and Engine
Emissions
As part of the 1998 locomotive rule
EPA established regulations that
prohibited state regulation of new
locomotives and new engines used in
locomotives. This is currently reflected
in the regulatory text of 40 CFR
1074.12(a), and reflects Congress’
command in CAA section 209(e)(1)(B).
In addition, to provide certainty to state,
localities, and industry regarding the
period when certain state controls
would be prohibited under 209(e)(1)(B),
EPA also provided that such prohibition
would last for a period equal to 133
percent of the useful life of a new
locomotive or new engine used in a
locomotive—even after the locomotive
or engine was placed into service and
ceased to be ‘‘new.’’ 1020 This is
currently reflected at section 1074.12(b)
of EPA’s rule, along with several
specific types of standards or other
requirements that EPA then concluded
are preempted. This decision to codify
a prohibition period extending beyond
when locomotives are new and to
enumerate several preempted types of
requirements was based on EPA’s
understanding of the nature of the
locomotive industry, the regulatory
landscape, and the then-existing
emission control technologies
considering the CAA and other relevant
legal considerations.1021
1020 Proposed Rule: Emission Standards for
Locomotives and Locomotive Engines, 62 FR 6366
(February 11, 1997)
1021 These considerations included: The language
of the CAA and its legislative history (62 FR 6397–
6398; Summary and Analysis of Comments on the
Notice of Proposed Rulemaking for Emission
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In 1998, the locomotive
manufacturers and remanufacturers
were anticipating a need to develop
emission technologies to apply to their
locomotive engines with uncontrolled
emissions to comply with the first three
Tiers of locomotive emission standards
(Tiers 0, 1, and 2). They would
eventually need to apply technology to
meet Tiers 3 and 4, adopted in 2008 and
fully phased-in by 2015. As EPA
explained in 1998, there was a risk that
some state regulations could have
affected the design and manufacture of
new locomotives and new engines used
in locomotives (including freshly
manufactured and remanufactured), and
additional certainty was determined to
be beneficial for all interested
parties.1022 At the same time, in the
1998 rulemaking EPA explained that
states may regulate the use and
operation of locomotives in a manner
that does not significantly affect the
design or manufacture of a new
(including remanufactured) locomotive
or engine, potentially allowing states to
control nuisances, and that California
(and other states following California)
may obtain an EPA authorization
(waiver of Federal preemption) for
standards and other requirements
relating to the control of emissions from
non-new locomotives and non-new
engines used in locomotives, provided
they did not significantly affect the
design and manufacture of new
locomotives or engines.1023 This
allowance is currently reflected in
EPA’s rules at section 1074.101 through
1074.115. However, to date California
has not sought EPA authorization under
section 209(e) of any program to address
emissions from non-new locomotives or
engines.
By defining the period of preemption
to be 133 percent of the useful life of a
new locomotive or engine EPA intended
to preclude certain forms of potential
state regulation of non-new locomotives
due to the concern they could
significantly impact the design and
Standards for Locomotives and Locomotive
Engines, 1998), p. 12; court rulings (see 62 FR 6397,
see also Allway Taxi, Inc. v. City of New York, 340
F. Supp. 1120, 1124 (S.D.N.Y. 1972)); Constitutional
concerns (Summary and Analysis of Comments on
the Notice of Proposed Rulemaking for Emission
Standards for Locomotives and Locomotive
Engines, 1998, pp. 13, 17, 18); and Technical
challenges of states regulating non-new locomotives
and engines used in locomotives (Summary and
Analysis of Comments on the Notice of Proposed
Rulemaking for Emission Standards for
Locomotives and Locomotive Engines, 1998,
Chapter 1 Section C).
1022 63 FR 18979 and 18993–18994.
1023 Summary and Analysis of Comments on the
Notice of Proposed Rulemaking for Emission
Standards for Locomotives and Locomotive
Engines, EPA, EPA–420–R–97–101, pp. 17–18.
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manufacture of new locomotives and
new engines used in locomotives. EPA’s
intention to preclude some but not all
forms of state regulation is clearly
discussed in the 1997 NPRM, 1024 in the
Summary and Analysis of
Comments,1025 and in the final 1998
rulemaking 1026 where we explained
that ‘‘The list of state controls that are
explicitly preempted under today’s
regulation is not intended to be
exclusive’’ 1027 and ‘‘. . . all state
requirements relating to the control of
emissions from in-use locomotives and
locomotive engines, including state
requirements not listed as preempted [.
. .], are subject to section 209(e)(2)’s
waiver requirement.’’ 1028 This
preemption language was recodified in
the sections of 40 CFR part 1074, in
October of 2008, as part of EPA’s final
rule establishing standards for the
Control of Emissions from Nonroad
Spark-Ignition Engines and
Equipment.1029
C. Evaluation of Impact of Regulatory
Preemption
In EPA’s final 1998 action, EPA
adopted regulations preempting certain
state and local controls of locomotives
and engines used in locomotives, which
we determined to be appropriate based
on our understanding of the information
at the time.1030 The intent of these
regulations was to provide ‘‘certainty
with respect to when state controls
would be preempted’’ (62 FR 6398) and
determine that ‘‘certain categories of
potential state requirements would be
preempted under the proposed
approach’’ (62 FR 6398).
EPA’s explanation for the
preemptions was particularly focused
on specific types of controls listed in 40
CFR 1074.12(b), which we deemed
categorically preempted for locomotives
and engines up to 133 percent of the
regulatory useful life.1031 For all other
types of controls, the 1998 Locomotive
final rulemaking stated that ‘‘. . . all
1024 See
62 FR 6366, 6398, and 6399.
and Analysis of Comments on the
Notice of Proposed Rulemaking for Emission
Standards for Locomotives and Locomotive
Engines, EPA, EPA–420–R–97–101, pp. 15–19.
1026 See 63 FR 18978.
1027 63 FR 18994.
1028 Ibid.
1029 Oct 8, 2008, 73 FR 59033, Control of
Emissions from Nonroad Spark-Ignition Engines &
Equipment.
1030 See, 63 FR at 18993–18994, codified at 40
CFR 85.1603 Application of definitions; scope of
preemption. This was later recodified at 40 CFR
1074.12; see 73 FR 59034 (Oct. 8, 2008).
1031 Including but not limited to emission
standards, mandatory fleet average standards,
certification requirements, retrofit and aftermarket
equipment requirements, and non-Federal in-use
testing requirements.
1025 Summary
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state requirements relating to the control
of emissions from in-use locomotives
and locomotive engines, including state
requirements not listed as preempted in
40 CFR 85.1603(c)(1), are subject to
section 209(e)(2)’s waiver
requirement.’’ 1032 Further, in our
response to comments regarding
preemption of state regulations we
explained, ‘‘states may regulate the use
and operation of locomotives in a
manner that does not significantly affect
the design or manufacture of a new
(including remanufactured) locomotive
or engine, potentially allowing states to
control nuisances.’’ 1033 As an example,
the final rule deviated from the proposal
by excluding state in-use testing
programs using the Federal test
procedure from the list of preempted
controls because EPA could not
determine that it would violate
209(e)(1)(B).1034 While these aspects of
the 1998 rule make a case that there are
opportunities for California to obtain
authorization under CAA 209(e)(2) for
eligible measures, we are concerned that
the effect of our 1998 regulation has
been to discourage consideration of all
such opportunities.
At the same time, locomotive
emission controls have developed
significantly since the 1998 rule, and
some of these developments call into
question the factual underpinnings of
EPA’s prior decision to categorially
preempt certain controls up to 133
percent of the regulatory useful life. It
has been 15 years since EPA’s 2008 rule
was finalized and eight years since the
first compliance year of the locomotive
Tier 4 emissions standards. With the
certainty provided by the long lead time
prior to implementation of Tier 4 and
the stability provided by a long period
of unchanged standards, the emission
control technologies for new diesel
locomotives are now well established.
In developing this proposal, we
reviewed the technical basis for the
types of controls in 40 CFR 1074.12(b)
established in 1998 and evaluated
currently available technologies and
practices to investigate the extent to
which our reasoning in 1998 still holds
today, following more recent
technological developments and the
extent to which emissions control tools
may be employed for existing
locomotives without necessarily
presenting significant effects on the
1032 See,
63 FR 18994.
and Analysis of Comments on the
Notice of Proposed Rulemaking for Emission
Standards for Locomotives and Locomotive
Engines, EPA, EPA–420–R–97–101, p. 18.
1034 63 FR 18993–18994.
1033 Summary
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design and manufacture of new
locomotives and engines.
We have identified two examples of
post-1998 emission controls that states
would be prohibited from requiring for
non-new locomotives under the
language of 40 CFR 1074.12(b), but that
initially appear would not significantly
affect the design or manufacture of a
new locomotive or locomotive engine
and in fact have in some cases been
voluntarily applied. Although we have
not received any submission of an
actual regulation addressing controls of
this nature, which would need to be
evaluated on its own basis under CAA
section 209(e)(2), we discuss these
possible measures that might not be
preempted as requirements applying to
new locomotives or new engines used in
locomotives if evaluated on a case-bycase basis. Our evaluation suggests that
the 1998 regulatory provisions
categorically preempting certain
controls up to 133 percent of the useful
life may be overly restrictive in
precluding state consideration of
potential measures to reduce emissions
from existing locomotives.
One example of a post-1998 control
measure that we have identified as
potentially not significantly affecting
the design or manufacture of a new
locomotive or engine is the retrofitting
of an auxiliary power unit (APU) to
support engine shutdown for idle
reduction. In this scenario, installation
of such an APU on a locomotive with
an engine shutdown timer can enable
the main engine to shut down while
maintaining power to auxiliary
functions such as air brake pressure and
battery state of charge. There may be
sufficient space and fluids onboard to
accommodate this component without
disrupting the existing equipment or the
design of new remanufacturing kits.
Under the terms of current 40 CFR
1074.12(b) this is an example of a
requirement that may be categorically
preempted because current section
1074.12(b) preempts state retrofit and
aftermarket equipment requirements.
Without evaluating the technical
drawbacks or merits of any specific state
requirement for such a retrofitting on
existing locomotives, we observe that
such a requirement could potentially be
consistent with the statutory
authorization criteria and be allowed if
evaluated on its own merits under 40
CFR 1074.101 through 1074.115. As
further evidence that such a retrofit
requirement would not likely have an
adverse effect on the design of new
locomotives, this type of technology
retrofit project is often pursued by
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locomotive operators on a voluntary
basis.1035
A second example of a post-1998
emission control measure that may not
significantly affect the design or
manufacture of a new locomotive or
engine is the installation of a new load
control calibration strategy that better
manages load on the main engine while
the locomotive is in line haul service.
Such technology is utilized today and
may be installed on units already in
service 1036 and is available as an
upgrade in some certified remanufacture
kits.1037 In this scenario, a locomotive
would have certain software installed
that governs how the engine is used
during the route, which helps save fuel
and reduces emissions. Because the
components involved include minimal
hardware, we do not believe
implementation of this measure would
result in a significant effect on the
design of new locomotives. Therefore, a
state imposing a requirement that
existing locomotives employ it would
not necessarily constitute a control of
new locomotive emissions. Nonetheless,
under the existing regulations, such a
control may be categorically preempted.
Without evaluating the technical
drawbacks or merits of such a state’s
specific action to impose such a
requirement for this kind of more recent
technological measure, we believe that
our 1998 regulatory text may
inappropriately restrict whether a state
can request authorization under CAA
section 209(e)(2) to impose such a
requirement. Therefore, EPA believes
that there are in fact reasonable
examples of readily available
technologies that if included as part of
a state regulatory program could be
considered for authorization under CAA
section 209(e)(2) and our rules at 40
CFR 1074.101 through 1074.115, but
that under our 1998 regulatory text in 40
CFR 1074.12(b)—adopted in advance of
the development of these newer
technological measures—California is
currently discouraged from exploring.
Any such program should be evaluated
on its own terms, if submitted, rather
than be assumed to significantly affect
1035 See, for example, Railway Age, BNSF,
Hotstart partner on locomotive retrofit, November
19, 2014. https://www.railwayage.com/freight/classi/bnsf-hotstart-partner-on-locomotive-retrofit/
accessed January 2023.
1036 See, for example, https://
www.nyabproducts.com/leader/ and https://
www.wabteccorp.com/digital-electronics/trainperformance-and-automation/trip-optimizer,
accessed January 2023.
1037 See, for example, Wabtec’s certified
remanufacture families PGETK0668T1Y and
PGETK0668T0C, which are Tier 1 and Tier 0
systems, respectively, that include the Trip
Optimizer software as an energy saving design.
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design and manufacture of new
locomotives under a categorical
regulatory preemption provision that
did not account for more recent
technological measures.
While EPA’s adoption of its
regulations in 1998 helped facilitate a
smooth regulatory progression from
uncontrolled to regulated locomotives,
the more recent technological
developments of pollution control
measures, such as those briefly
discussed in this Section X, indicate
that there may be instances now where
the general conclusions reached in 1998
may no longer be supportable, and
instead may result in our 1998
preemption rules inappropriately
reaching beyond the scope of section
209(e)(1)’s prohibition on requirements
that relate to new locomotives and new
engines used in locomotives. Although
EPA has discussed only some examples
of potential control measures that might
be considered for application under a
state program for existing locomotives
without significantly affecting the
design and manufacture of new
locomotives, the very nature of rapid
technological development suggests that
it is not necessary or possible for EPA
to prejudge, as under the current text of
40 CFR 1074.12, all potential forms of
state control of existing locomotives
regarding whether they should remain
preempted with no possibility of
authorization under CAA section
209(e)(2).
EPA further believes that the
examples discussed show there is
sufficient information available to more
generally call into question the
conclusion that all the forms of state
control explicitly preempted by the
current text in 40 CFR 1074.12(b) would
necessarily affect how manufacturers
and remanufacturers design new
locomotives and new engines used in
locomotives. Based on these examples,
along with the fact that any request from
California (for its regulatory and
technological approaches) under 40 CFR
1074.101 through 1074.115 would be
evaluated on a case-by-case basis, we
observe that by removing the language
in 40 CFR 1074.12(b) EPA would still be
required to evaluate any submission
from California under CAA section
209(e)(1) and (2), providing the
opportunity for public comment by all
interested stakeholders. EPA seeks
comment on this assessment and to
what extent there would be public
benefit if we were to retain the current
regulatory text.
While EPA can no longer say, for
certain, that our conclusions in 1998
about state imposition of in-use
requirements will always be true for
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those listed forms of standards or
requirements, we are also not saying
that such measures can or will be
authorized under CAA section 209(e)(2)
(even for the examples provided). EPA
is not concluding in this document that
any of these forms of standards, if
submitted, would be authorized, or that
these forms of standards would not
contravene CAA section 209(e)(1).
Rather this action to revise 40 CFR
1074.12, if finalized, would better allow
California the opportunity to explore,
develop, and justify in a programspecific submission for authorization
why a certain form of state regulation
should be allowed under CAA section
209(e)(2) and our rules at 40 CFR
1074.101 through 1074.115, and allow
EPA to evaluate such a submission on
a case-by-case basis evaluating its
specific merits rather than being
categorically preempted without the
benefit of an actual administrative
record regarding the specific state
regulation.
The scope of this proposal includes
the types of state measures preempted
as well as the period of preemption.
EPA’s assessment that our previous
general conclusions regarding what
types of measures must be preempted at
the outset may no longer be supportable
necessarily extends to the period of
preemption imposed by our regulations.
The current text at 40 CFR 1074.12(b)
preempts the state control of in-use
locomotives for the categories of
regulations listed for a period of 133
percent of useful life of a new
locomotive or engine. Since we now
believe it is inappropriate to prejudge
that all the listed types of measures
would have such an effect, we likewise
cannot say that the fixed period of
preemption of such measures must still
apply. EPA therefore proposes to
remove the specified period of
preemption in 40 CFR 1074.12(b). In
place of this, the EPA would include
evaluation of the temporal nature of any
submitted state controls as part of its
evaluation of any authorization request
under 40 CFR 1074.101 through
1074.115.
D. What is EPA proposing?
We believe the current preemption
language may impede California’s
exploration of regulations of non-new
locomotives and locomotive engines
beyond what is required by CAA section
209(e). To address this, EPA is
proposing to make several revisions in
part 1074, including sections 1074.10,
1074.12, and 1074.101.
In 40 CFR 1074.10, we propose to
revise subsection (b) to contain text that
is currently located in section
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1074.12(a), and move the current text of
subsection (b) into a new subsection (c).
This would solely be a housekeeping
measure, as no revisions to the content
of the text or current subsection
1074.12(a) are proposed.
In 40 CFR 1074.12, we are proposing
to delete 40 CFR 1074.12 in its entirety.
We believe the removal of the explicit
period of preemption as well as the
listed categories of state control
measures would signal that not all state
regulations are intended to be
preempted and would better align the
scope of the regulation with the CAA.
We seek comment on these proposed
revisions and whether they adequately
align our regulations with the CAA, and
whether they achieve the intended
purpose of not impeding California from
pursuing state-level standards or control
measures that may be considered for
authorization according to the
procedures outlined in 40 CFR 1074.101
through 1074.115. We note that under
the proposal, California rules addressing
non-new locomotives or engines would
still need to go through the
authorization process at 40 CFR
1074.101 through 1074.105, which
would ensure compliance with the
statutory authorization criteria:
California’s determination that its
standards will be, in the aggregate, at
least as protective of public health and
welfare as otherwise applicable Federal
standards is not arbitrary and
capricious; Any opponents of the
authorization have not met their
burdens to demonstrate that California
does not need such standards to meet
compelling and extraordinary
conditions; and Any such opponents
have not demonstrated that such
standards and accompanying
enforcement procedures are not
consistent with section 209 of the CAA
(including section 209(e)(1)).1038
EPA notes that we would still have
concerns related to authorization
requests that included forms of state
controls that would significantly affect
the design or manufacture of a new
locomotive or engine. However, EPA
recognizes that significant advances in
technology have occurred in the
intervening years since 1998, along with
innovative forms of regulations. Any
state authorization application received
by EPA would need to demonstrate why
the submitted control measure would
not significantly affect the design or
manufacture of a new locomotive. As
required by the CAA, the EPA would
1038 40 CFR 1074.105(b). Adopted at Part
85.1603(c)(1) in 1998 and recodified in Part 1074
as part of the Control of Emissions From Nonroad
Spark-Ignition Engines and Equipment, October 8,
2008, 73 FR 59033.
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evaluate any such application on a caseby-case basis to determine if the
controls may be authorized under
section 209(e)(2).
Note that certain categories of
potential state requirements, while not
expressly preempted by section
209(e)(1) or EPA’s regulations
implementing section 209(e)(1), may be
preempted if they would create a
conflict with other provisions of the
Act. For example, section 203(a)(3) of
the Act prohibits tampering, and certain
requirements to modify engines might
constitute tampering. Analysis of such
possible conflicts would be
incorporated into the evaluation of
EPA’s review of an authorization
request under 40 CFR 1074.101 through
1074.115.
In 40 CFR 1074.101, we propose a
minor housekeeping edit to paragraph
(a) of this section, to refer to the
relocated text in 1074.10(b) that is being
moved out of 1074.12.
None of the proposed changes to our
preemption regulations would have any
impact on the regulation of new
locomotives or engines used in
locomotives (including freshly built and
remanufactured) under 40 CFR part
1033. We are not reopening any aspect
of the regulation of new locomotives or
engines, and any comments on these
topics will be deemed beyond the scope.
XI. Statutory and Executive Order
Reviews
Additional information about these
statutes and Executive Orders can be
found at https://www.epa.gov/lawsregulations/laws-and-executive-orders.
A. Executive Order 12866: Regulatory
Planning and Review and Executive
Order 13563: Improving Regulation and
Regulatory Review
Under section 3(f)(1) of Executive
Order 12866, this action is a significant
regulatory action that was submitted to
the Office of Management and Budget
(OMB) for review. Any changes made in
response to recommendations received
as part of Executive Order 12866 review
have been documented in the docket.
EPA prepared an analysis of the
potential costs and benefits associated
with this action. This analysis, the draft
‘‘Regulatory Impact Analysis—
Greenhouse Gas Emissions Standards
for Heavy-Duty Vehicles-Phase 3—
Notice of Proposed Rulemaking,’’ is
available in the docket. The analyses
contained in this document are also
summarized in Sections II, IV, V, VI,
VII, VIII and IX of this preamble.
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B. Paperwork Reduction Act (PRA)
The information collection activities
in this proposed rule have been
submitted for approval to the Office of
Management and Budget (OMB) under
the PRA. The Information Collection
Request (ICR) that EPA prepared has
been assigned EPA ICR Number 2734.1.
You can find a copy of the Supporting
Statement in the docket for this rule,
and it is briefly summarized here.
This proposed rulemaking consists of
targeted updates to the existing GHG
emission standards for heavy-duty
vehicles beginning with MY 2027 in
consideration of zero-emission
technology. The information collection
activities for EPA’s Phase 2 GHG
program would not change as a result of
this proposed rule, although
manufacturers would experience a cost
associated with reviewing the new
requirements.
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• Respondents/affected entities:
Manufacturers of heavy-duty onroad
vehicles.
• Respondent’s obligation to respond:
Regulated entities must respond to the
collection if they wish to sell their products
in the United States, as prescribed by CAA
section 203(a). Participation in some
programs is voluntary; but once a
manufacturer has elected to participate, it
must submit the required information.
• Estimated number of respondents:
Approximately 77 heavy-duty vehicle
manufacturers.
• Frequency of response: One-time burden
associated with reviewing the new
requirements for all manufacturers; for EV
manufacturers, one-time burden associated
with new battery health monitor provisions,
warranty reporting requirements, and
associated revisions to owners manuals
• Total estimated burden: 7,411 hours.
Burden is defined at 5 CFR 1320.03(b)
• Total estimated cost: $1.622 million;
includes an estimated $936,500 maintenance
and operational costs.
An agency may not conduct or
sponsor, and a person is not required to
respond to, a collection of information
unless it displays a currently valid OMB
control number. The OMB control
numbers for EPA’s regulations in 40
CFR are listed in 40 CFR part 9.
Submit your comments on the
Agency’s need for this information, the
accuracy of the provided burden
estimates and any suggested methods
for minimizing respondent burden to
EPA using the docket identified at the
beginning of this rule. You may also
send your ICR-related comments to
OMB’s Office of Information and
Regulatory Affairs using the interface at
www.reginfo.gov/public/do/PRAMain.
Find this particular information
collection by selecting ‘‘Currently under
Review—Open’’. Since OMB is required
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to make a decision concerning the ICR
between 30 and 60 days after receipt,
OMB must receive comments no later
than June 26, 2023. The EPA will
respond to any ICR-related comments in
the final rule.
C. Regulatory Flexibility Act (RFA)
I certify that this action will not have
a significant economic impact on a
substantial number of small entities
under the RFA. As explained elsewhere
in this preamble, EPA is proposing to
exempt small entities from the proposed
revisions to EPA’s Phase 2 GHG
requirements for MY 2027 and the
proposed additional GHG requirements
for MYs 2028 through 2032 and later.
Small EV manufacturers would be
subject to new battery health monitor
provisions and warranty provisions,
which include making associated
revisions to owners manuals. There are
10 small companies that would be
affected by the proposal. The estimated
burden is not expected to exceed 3
percent of annual revenue for any small
entity, and is expected to be between 1
and 3 percent of annual revenue for
only one company. We have therefore
concluded that this action will have
minimal impact on small entities within
the regulated industries. More
information concerning the small
entities and our decision is presented in
Chapter 9 of the draft RIA.
D. Unfunded Mandates Reform Act
(UMRA)
This proposed rule contains no
Federal mandates under UMRA, 2
U.S.C. 1531–1538, for State, local, or
Tribal governments. The proposed rule
would impose no enforceable duty on
any State, local or Tribal government.
This proposed rule would contain a
Federal mandate under UMRA that may
result in expenditures of $100 million or
more for the private sector in any one
year. Accordingly, the costs and benefits
associated with the proposed rule are
discussed in Section VIII and in the
draft RIA, which are in the docket for
this rule.
This action is not subject to the
requirements of section 203 of UMRA
because it contains no regulatory
requirements that might significantly or
uniquely affect small governments.
E. Executive Order 13132: Federalism
The action we are proposing for HD
Phase 3 CO2 emission standards and
related regulations does not have
federalism implications. The proposed
HD Phase 3 CO2 emission standards will
not have substantial direct effects on the
states, on the relationship between the
national government and the states, or
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on the distribution of power and
responsibilities among the various
levels of government.
The action we are proposing with
regard to preemption of State control of
air pollutant emissions from new
locomotives and new engines used in
locomotives (described in Section X),
however, does have federalism
implications because the proposed
revisions to part 1074 involve existing
regulations that preempt State law
under CAA section 209(e)(1). This
action proposes revisions to current
regulatory provisions in order to better
align EPA’s rules with CAA section
209(e)’s statutory requirements. Today’s
action proposes to remove regulatory
language that extended the preemption
period beyond the point at which
locomotives and engines are new. In
this rule, EPA proposes to revise our
locomotive preemption regulations to
better align with precise language
Congress provided in section 209(e) and
the Congressional directive to EPA to
implement the prohibition of state
regulation of new locomotives and new
engines used in locomotives while
ensuring that states are not impeded
from adopting programs as allowed by
the CAA to address the contribution of
air pollutant emissions from non-new
locomotives and engines to their air
quality issues. EPA consulted with
representatives of various State and
local governments in developing this
proposed rule. We met with
representatives from the National
Association of State Energy Officials,
the National Association of Clean Air
Agencies, the Northeast States for
Coordinated Air Use Management, the
Ozone Transport Commission, and the
Association of Air Pollution Control
Agencies in a joint meeting on April 21,
2022. We met with representatives from
CARB periodically from September to
December 2022, and we met with
representatives from the National
Association of Clean Air Agencies, the
Northeast States for Coordinated Air
Use Management, and the Ozone
Transport Commission in a joint
meeting on December 13, 2022. In the
spirit of Executive Order 13132, and
consistent with EPA policy to promote
communications between EPA and State
and local governments, EPA specifically
solicits comment on this proposed rule
revision from State and local officials.
F. Executive Order 13175: Consultation
and Coordination With Indian Tribal
Governments
This action does not have Tribal
implications as specified in Executive
Order 13175. Thus, Executive Order
13175 does not apply to this action.
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This action does not have substantial
direct effects on one or more Indian
tribes, on the relationship between the
Federal Government and Indian tribes,
or on the distribution of power and
responsibilities between the Federal
Government and Indian tribes.
However, EPA plans to continue
engaging with Tribal stakeholders in the
development of this rulemaking by
offering a Tribal workshop and offering
government-to-government consultation
upon request.
G. Executive Order 13045: Protection of
Children From Environmental Health
and Safety Risks
This action is subject to Executive
Order 13045 because it is a significant
regulatory action under section 3(f)(1) of
Executive Order 12866, and EPA
believes that the environmental health
risks or safety risks of the pollutants
addressed by this action may have a
disproportionate effect on children. The
2021 Policy on Children’s Health also
applies to this action.1039 Accordingly,
we have evaluated the environmental
health or safety effects of air pollutants
affected by the proposed program on
children. The results of this evaluation
are described in Section VI of the
preamble and Chapter 5 of the DRIA.
The protection offered by these
standards may be especially important
for children because childhood
represents a life stage associated with
increased susceptibility to air pollutantrelated health effects.
This proposed rule would reduce
emissions of GHGs, which would
reduce the effects of climate change on
children. GHGs contribute to climate
change and the GHG emissions
reductions resulting from
implementation of this proposed rule
would further improve children’s
health. The assessment literature cited
in EPA’s 2009 and 2016 Endangerment
Findings concluded that certain
populations and life stages, including
children, the elderly, and the poor, are
most vulnerable to climate-related
health effects. The assessment literature
since 2016 strengthens these
conclusions by providing more detailed
findings regarding these groups’
vulnerabilities and the projected
impacts they may experience. These
assessments describe how children’s
unique physiological and
developmental factors contribute to
making them particularly vulnerable to
climate change. Impacts to children are
1039 U.S. Environmental Protection Agency
(2021). 2021 Policy on Children’s Health.
Washington, DC. https://www.epa.gov/system/files/
documents/2021-10/2021-policy-on-childrenshealth.pdf.
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expected from heat waves, air pollution,
infectious and waterborne illnesses, and
mental health effects resulting from
extreme weather events. In addition,
children are among those especially
susceptible to most allergic diseases, as
well as health effects associated with
heat waves, storms, and floods.
Additional health concerns may arise in
low-income households, especially
those with children, if climate change
reduces food availability and increases
prices, leading to food insecurity within
households. More detailed information
on the impacts of climate change to
human health and welfare is provided
in Section VI.A of this preamble.
Children make up a substantial
fraction of the U.S. population, and
often have unique factors that contribute
to their increased risk of experiencing a
health effect from exposures to ambient
air pollutants because of their
continuous growth and development.
Children are more susceptible than
adults to many air pollutants because
they have (1) a developing respiratory
system, (2) increased ventilation rates
relative to body mass compared with
adults, (3) an increased proportion of
oral breathing, particularly in boys,
relative to adults, and (4) behaviors that
increase chances for exposure. Even
before birth, the developing fetus may
be exposed to air pollutants through the
mother that affect development and
permanently harm the individual when
the mother is exposed.
In addition to reducing GHGs, this
proposed rule would also reduce onroad
emissions of criteria pollutants and air
toxics. Section V of this preamble
presents the estimated onroad emissions
reductions from the proposed rule.
Certain motor vehicle emissions present
greater risks to children. Early lifestages
(e.g., children) are thought to be more
susceptible to tumor development than
adults when exposed to carcinogenic
chemicals that act through a mutagenic
mode of action.1040 Exposure at a young
age to these carcinogens could lead to a
higher risk of developing cancer later in
life. Chapter 5.2.8 of the DRIA describes
a systematic review and meta-analysis
conducted by the U.S. Centers for
Disease Control and Prevention that
reported a positive association between
proximity to traffic and the risk of
leukemia in children.
The adverse effects of individual air
pollutants may be more severe for
1040 U.S. Environmental Protection Agency.
(2005). Supplemental guidance for assessing
susceptibility from early-life exposure to
carcinogens. Washington, DC: Risk Assessment
Forum. EPA/630/R–03/003F. https://
www3.epa.gov/airtoxics/childrens_supplement_
final.pdf.
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children, particularly the youngest age
groups, than adults. As described in
Section VI.B of this preamble and
Chapter 5 of the DRIA, the Integrated
Science Assessments for a number of
pollutants affected by this rule,
including those for SO2, NO2, PM,
ozone and CO, describe children as a
group with greater susceptibility. Also,
Section VI.B of this preamble and
Chapter 5 of the DRIA discuss a number
of childhood health outcomes
associated with proximity to roadways,
including evidence for exacerbation of
asthma symptoms and suggestive
evidence for new onset asthma.
There is substantial evidence that
people who live or attend school near
major roadways are more likely to be
people of color, Hispanic ethnicity, and/
or low socioeconomic status. Within
these highly exposed groups, children’s
exposure and susceptibility to health
effects is greater than adults due to
school-related and seasonal activities,
behavior, and physiological factors.
Children are not expected to
experience greater ambient
concentrations of air pollutants than the
general population. However, because of
their greater susceptibility to air
pollution, including the impacts of a
changing climate, and their increased
time spent outdoors, it is likely that the
emissions reductions associated with
the proposed standards would have
particular benefits for children’s health.
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
This action is not a ‘‘significant
energy action’’ because it is not likely to
have a significant adverse effect on the
supply, distribution, or use of energy.
EPA has outlined the energy effects in
Section VI of this preamble and Chapter
5 of the draft RIA, which is available in
the docket for this action and is briefly
summarized here.
This action proposes to reduce CO2
emissions from heavy-duty vehicles
under revised GHG standards, which
would result in significant reductions in
the consumption of petroleum, would
achieve energy security benefits, and
would have no adverse energy effects.
Because the GHG emission standards
result in fuel savings, this rule
encourages more efficient use of fuels.
Section VI.F of this preamble describes
our projected fuel savings due to the
proposed standards.
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I. National Technology Transfer and
Advancement Act (NTTAA) and 1 CFR
Part 51
This rulemaking involves technical
standards. Except for the standards
discussed in this Section XI.I, the
standards included in the regulatory
text as incorporated by reference were
all previously approved for IBR and no
change is included in this action.
In accordance with the requirements
of 1 CFR 51.5, we are proposing to
incorporate by reference the use of
standards and test methods from the
United Nations. The referenced
standards and test methods may be
26099
obtained from the UN Economic
Commission for Europe, Information
Service at Palais des Nations, CH–1211
Geneva 10, Switzerland; unece_info@
un.org; www.unece.org. We are
incorporating by reference the following
UN Economic Commission for Europe
document:
Standard or test method
Regulation
Summary
Addendum 22: United Nations Global Technical Regulation No. 22, United Nations
Global Technical Regulation on In-vehicle
Battery Durability for Electrified Vehicles,
Adopted April 14, 2022.
40 CFR 1037.115 and 1037.810 .....................
GTR 22 establishes design protocols and procedures for measuring durability and performance for batteries used with electric vehicles and plug-in hybrid-electric vehicles.
J. Executive Order 12898: Federal
Actions To Address Environmental
Justice in Minority Populations and
Low-Income Populations
presents the estimated impacts from the
proposed rule on onroad and EGU
emissions. These non-GHG emission
reductions from vehicles would
improve air quality for the people who
reside in close proximity to major
roadways and who are
disproportionately represented by
people of color and people with low
income, as described in Section VI.D.2
of this preamble. We expect that
increases in criteria and toxic pollutant
emissions from EGUs and reductions in
petroleum-sector emissions could lead
to changes in exposure to these
pollutants for people living in the
communities near these facilities.
Analyses of communities in close
proximity to these sources (such as
EGUs and refineries) have found that a
higher percentage of communities of
color and low-income communities live
near these sources when compared to
national averages.
EPA is additionally identifying and
addressing environmental justice
concerns by providing fair treatment
and meaningful involvement with
Environment Justice groups in
developing this proposed action and
soliciting input for this notice of
proposed rulemaking.
The information supporting this
Executive Order review is contained in
Section VI.D of the preamble for this
rule, and all supporting documents have
been placed in the public docket for this
action.
proposed rule overall is found at 42
U.S.C. 7401–7675.
XII. Statutory Authority and Legal
Provisions
Statutory authority for the proposed
GHG standards is found in CAA section
202(a)(1)–(2), 42 U.S.C. 7521 (a)(1)–(2),
which requires EPA to establish
standards applicable to emissions of air
pollutants from new motor vehicles and
engines which cause or contribute to air
pollution which may reasonably be
anticipated to endanger public health or
welfare. Statutory authority for this
40 CFR Part 1074
Executive Order 12898 (59 FR 7629,
February 16, 1994) directs Federal
agencies, to the greatest extent
practicable and permitted by law, to
make environmental justice part of their
mission by identifying and addressing,
as appropriate, disproportionately high
and adverse human health or
environmental effects of their programs,
policies, and activities on minority
populations (people of color and/or
indigenous peoples) and low-income
populations.
EPA believes that the human health or
environmental conditions that exist
prior to this action result in or have the
potential to result in disproportionate
and adverse human health or
environmental effects on people of
color, low-income populations and/or
indigenous peoples. EPA provides a
summary of the evidence for potentially
disproportionate and adverse effects
among people of color and low-income
populations in Section VI.D of the
preamble for this rule.
EPA believes that this action is likely
to reduce existing disproportionate and
adverse effects on people of color, lowincome populations and/or indigenous
peoples.
Section VI.D.1 discusses the
environmental justice issues associated
with climate change. People of color,
low-income populations and/or
indigenous peoples may be especially
vulnerable to the impacts of climate
change. The GHG emission reductions
from this proposal would contribute to
efforts to reduce the probability of
severe impacts related to climate
change.
In addition to reducing GHGs, this
proposed rule would also reduce onroad
emissions of criteria pollutants and air
toxics. Section V of this preamble
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List of Subjects
40 CFR Part 1036
Environmental protection,
Administrative practice and procedure,
Air pollution control, Confidential
business information, Greenhouse gases,
Incorporation by reference, Labeling,
Motor vehicle pollution, Reporting and
recordkeeping requirements,
Warranties.
40 CFR Part 1037
Environmental protection,
Administrative practice and procedure,
Air pollution control, Confidential
business information, Incorporation by
reference, Labeling, Motor vehicle
pollution, Reporting and recordkeeping
requirements, Warranties.
40 CFR Part 1054
Environmental protection,
Administrative practice and procedure,
Air pollution control, Confidential
business information, Imports, Labeling,
Penalties, Reporting and recordkeeping
requirements, Warranties.
40 CFR Part 1065
Environmental protection,
Administrative practice and procedure,
Air pollution control, Incorporation by
reference, Reporting and recordkeeping
requirements, Research.
Environmental protection,
Administrative practice and procedure,
Air pollution control, Locomotives,
Nonroad engines, Scope of preemption.
Michael S. Regan,
Administrator.
For the reasons set out in the
preamble, we are proposing to amend
title 40, chapter I of the Code of Federal
Regulations as set forth below.
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
PART 1036—CONTROL OF EMISSIONS
FROM NEW AND IN-USE HEAVY-DUTY
HIGHWAY ENGINES
1. The authority citation for part 1036
continues to read as follows:
■
Authority: 42 U.S.C. 7401–7671q.
2. Amend § 1036.101 by revising the
introductory text and paragraph (a)(1) to
read as follows:
■
§ 1036.101 Overview of exhaust emission
standards.
This part contains standards and
other regulations applicable to the
emission of the air pollutant defined as
the aggregate group of six greenhouse
gases: carbon dioxide, nitrous oxide,
methane, hydrofluorocarbons,
perfluorocarbons, and sulfur
hexafluoride.
(a) * * *
(1) Criteria pollutant standards for
NOX, HC, PM, and CO apply as
described in § 1036.104. These
pollutants are sometimes described
collectively as ‘‘criteria pollutants’’
because they are either criteria
pollutants under the Clean Air Act or
precursors to the criteria pollutants
ozone and PM.
*
*
*
*
*
§ 1036.104—
[Amended]
3. Amend § 1036.104 by removing
paragraph (c)(2)(iii).
■ 4. Amend § 1036.108 by revising
paragraphs (a)(1)(iii) introductory text
and (e) to read as follows:
■
§ 1036.108 Greenhouse gas emission
standards—CO2, CH4, and N2O.
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(a) * * *
(1) * * *
(iii) The following Phase 2 and Phase
3 CO2 standards apply for compressionignition engines and all Heavy HDE (in
g/hp·hr):
*
*
*
*
*
(e) Applicability for testing. The
emission standards in this subpart apply
as specified in this paragraph (e) to all
duty-cycle testing (according to the
applicable test cycles) of testable
configurations, including certification,
selective enforcement audits, and in-use
testing. The CO2 FCLs serve as the CO2
emission standards for the engine family
with respect to certification and
confirmatory testing instead of the
standards specified in paragraph (a)(1)
of this section. The FELs serve as the
emission standards for the engine family
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with respect to all other duty-cycle
testing. See §§ 1036.235 and 1036.241 to
determine which engine configurations
within the engine family are subject to
testing. Note that engine fuel maps and
powertrain test results also serve as
standards as described in §§ 1036.535,
1036.540, 1036.545, and 1036.630.
■ 5. Amend § 1036.110 by revising
paragraphs (b)(6), (b)(9) introductory
text, (b)(11)(ii) and (c)(1) to read as
follows:
§ 1036.110
Diagnostic controls.
*
*
*
*
*
(b) * * *
(6) The provisions related to
verification of in-use compliance in 13
CCR 1971.1(l)(4) do not apply. The
provisions related to manufacturer selftesting in 13 CCR 1971.5(c) also do not
apply.
*
*
*
*
*
(9) Design compression-ignition
engines to make the following
additional data-stream signals available
on demand with a generic scan tool
according to 13 CCR 1971.1(h)(4.2), if
the engine is so equipped with the
relevant components and OBD
monitoring is required for those
components:
*
*
*
*
*
(11) * * *
(ii) Send us results from any testing
you performed for certifying engine
families (including equivalent engine
families) with the California Air
Resources Board, including the results
of any testing performed under 13 CCR
1971.1(l) for verification of in-use
compliance and 13 CCR 1971.5(c) for
manufacturer self-testing within the
deadlines set out in 13 CCR 1971.1 and
1971.5.
*
*
*
*
*
(c) * * *
(1) For inducements specified in
§ 1036.111 and any other AECD that
derates engine output related to SCR or
DPF systems, indicate the fault code for
the detected problem, a description of
the fault code, and the current speed
restriction. For inducement faults under
§ 1036.111, identify whether the fault
condition is for DEF level, DEF quality,
or tampering; for other faults, identify
whether the fault condition is related to
SCR or DPF systems. If there are
additional derate stages, also indicate
the next speed restriction and the time
remaining until starting the next
restriction. If the derate involves
something other than restricting vehicle
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speed, such as a torque derate, adjust
the information to correctly identify any
current and pending restrictions.
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*
■ 6. Amend § 1036.111 by revising
paragraphs (a)(2), (b) introductory text,
(d), and (e) to read as follows:
§ 1036.111
Inducements related to SCR.
*
*
*
*
*
(a) * * *
(2) The provisions of this section
apply differently based on an individual
vehicle’s speed history. A vehicle’s
speed category is based on the OBD
system’s recorded value for average
speed for the preceding 30 hours of nonidle engine operation. The vehicle speed
category applies at the point that the
engine first detects an inducement
triggering condition identified under
paragraph (b) of this section and
continues to apply until the inducement
triggering condition is fully resolved as
specified in paragraph (e) of this
section. Non-idle engine operation
includes all operating conditions except
those that qualify as idle based on OBD
system controls as specified in 13 CCR
1971.1(h)(5.4.10). Apply speed derates
based on the following categories:
TABLE 1 TO PARAGRAPH (a)(2) OF
§ 1036.111—VEHICLE CATEGORIES
Vehicle category a
Low-speed .................
Medium-speed ..........
High-speed ................
Average speed
(mi/hr)
speed <15.
15< speed <25.
speed >25.
a A vehicle is presumed to be a high-speed
vehicle if it has not yet logged 30 hours of
non-idle operation.
*
*
*
*
*
(b) Inducement triggering conditions.
Create derate strategies that monitor for
and trigger an inducement based on the
following conditions:
*
*
*
*
*
(d) Derate schedule. Engines must
follow the derate schedule described in
this paragraph (d) if the engine detects
an inducement triggering condition
identified in paragraph (b) of this
section. The derate takes the form of a
maximum drive speed for the vehicle.
This maximum drive speed decreases
over time based on hours of non-idle
engine operation without regard to
engine starting.
(1) Apply speed-limiting derates
according to the following schedule:
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26101
TABLE 2 TO PARAGRAPH (d)(1) OF § 1036.111—DERATE SCHEDULE FOR DETECTED INDUCEMENT TRIGGERING
CONDITIONS a
High-speed vehicles
Medium-speed vehicles
Maximum
speed
(mi/hr)
Hours of non-idle engine operation
0 ...........................................................................................
6 ...........................................................................................
12 .........................................................................................
20 .........................................................................................
86 .........................................................................................
119 .......................................................................................
144 .......................................................................................
164 .......................................................................................
65
60
55
50
45
40
35
25
Low-speed vehicles
Hours of nonidle engine
operation
Maximum
speed
(mi/hr)
Hours of nonidle engine
operation
Maximum
speed
(mi/hr)
0
6
12
45
70
90
........................
........................
55
50
45
40
35
25
........................
........................
0
5
10
30
........................
........................
........................
........................
45
40
35
25
........................
........................
........................
........................
aHours start counting when the engine detects an inducement triggering condition specified in paragraph (b) of this section. For DEF supply,
you may program the engine to reset the timer to three hours when the engine detects an empty DEF tank.
(2) You may design and produce
engines that will be installed in
motorcoaches with an alternative derate
schedule that starts with a 65 mi/hr
derate when an inducement triggering
condition is first detected, steps down
to 50 mi/hr after 80 hours, and
concludes with a final derate speed of
25 mi/hr after 180 hours of non-idle
operation.
(e) Deactivating derates. Program the
engine to deactivate derates as follows:
(1) Evaluate whether the detected
inducement triggering condition
continues to apply. Deactivate derates if
the engine confirms that the detected
inducement triggering condition is
resolved.
(2) Allow a generic scan tool to
deactivate inducement triggering codes
while the vehicle is not in motion.
(3) Treat any detected inducement
triggering condition that recurs within
40 hours of engine operation as the
same detected inducement triggering
condition, which would restart the
derate at the same point in the derate
schedule that the system last
deactivated the derate.
■ 7. Amend § 1036.120 by revising
paragraph (c) to read as follows:
§ 1036.120 Emission-related warranty
requirements.
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(c) Components covered. The
emission-related warranty covers all
components listed in 40 CFR part 1068,
appendix A, and components from any
other system you develop to control
emissions. Note that this includes
hybrid system components when a
manufacturer’s certified configuration
includes hybrid system components.
The emission-related warranty covers
any components, regardless of the
company that produced them, that are
the original components or the same
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design as components from the certified
configuration.
*
*
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*
■ 8. Amend § 1036.125 by revising
paragraph (h)(8)(iii) to read as follows:
§ 1036.125 Maintenance instructions and
allowable maintenance.
*
*
*
*
*
(h) * * *
(8) * * *
(iii) A description of the three types
of SCR-related derates (DEF level, DEF
quality and tampering) and that further
information on the inducement cause
(e.g., trouble codes) is available using
the OBD system.
*
*
*
*
*
■ 9. Amend § 1036.150 by:
■ a. Revising paragraph (d);
■ b. Adding paragraph (f);
■ c. Revising paragraphs (j), and (k); and
■ d. Adding paragraph (aa).
The additions and revisions read as
follows:
§ 1036.150
Interim provisions.
*
*
*
*
*
(d) Small manufacturers. The
greenhouse gas standards of this part
apply on a delayed schedule for
manufacturers meeting the small
business criteria specified in 13 CFR
121.201. Apply the small business
criteria for NAICS code 336310 for
engine manufacturers with respect to
gasoline-fueled engines and 333618 for
engine manufacturers with respect to
other engines; the employee limits
apply to the total number employees
together for affiliated companies.
Qualifying small manufacturers are not
subject to the greenhouse gas emission
standards in § 1036.108 for engines with
a date of manufacture on or after
November 14, 2011 but before January 1,
2022. In addition, qualifying small
manufacturers producing engines that
run on any fuel other than gasoline, E85,
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or diesel fuel may delay complying with
every later greenhouse gas standard
under this part by one model year;
however, small manufacturers may
generate emission credits only by
certifying all their engine families
within a given averaging set to
standards that apply for the current
model year. Note that engines not yet
subject to standards must nevertheless
supply fuel maps to vehicle
manufacturers as described in paragraph
(n) of this section. Note also that engines
produced by small manufacturers are
subject to criteria pollutant standards.
162 HEI Panel on the Health Effects of
Long-Term Exposure to Traffic-Related
Air Pollution (2022) Systematic review
and meta-analysis of selected health
effects of long-term exposure to trafficrelated air pollution. Health Effects
Institute Special Report 23. [Online at
https://www.healtheffects.org/
publication/systematic-review-andmeta-analysis-selected-health-effectslong-term-exposure-traffic] This more
recent review focused on health
outcomes related to birth effects,
respiratory effects, cardiometabolic
effects, and mortality.
*
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*
(f) Testing exemption for qualifying
engines. Tailpipe CO2, CH4, HC, and CO
emissions from engines fueled with neat
hydrogen are deemed to be zero. No fuel
mapping, and no testing for CO2, CH4,
HC, or CO is required under this part for
these engines.
*
*
*
*
*
(j) Alternate standards under 40 CFR
part 86. This paragraph (j) describes
alternate emission standards that apply
for model year 2023 and earlier loose
engines certified under 40 CFR 86.1819–
14(k)(8). The standards of § 1036.108 do
not apply for these engines. The
standards in this paragraph (j) apply for
emissions measured with the engine
installed in a complete vehicle
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consistent with the provisions of 40 CFR
86.1819–14(k)(8)(vi). The only
requirements of this part that apply to
these engines are those in this paragraph
(j), §§ 1036.115 through 1036.135,
1036.535, and 1036.540.
(k) Limited production volume
allowance under ABT. You may
produce a limited number of Heavy
HDE that continue to meet the standards
that applied under 40 CFR 86.007–11 in
model years 2027 through 2029. The
maximum number of engines you may
produce under this limited production
allowance is 5 percent of the annual
average of your actual production
volume of Heavy HDE in model years
2023–2025 for calculating emission
credits under § 1036.705. Engine
certification under this paragraph (k) is
subject to the following conditions and
requirements:
*
*
*
*
*
(aa) Correcting credit calculations. If
you notify us by October 1, 2024 that
errors mistakenly decreased your
balance of emission credits for 2020 or
any earlier model years, you may correct
the errors and recalculate the balance of
emission credits after applying a 10
percent discount to the credit
correction.
■ 10. Amend § 1036.205 by revising
paragraph (v) to read as follows:
pattern may occur with battery-based
hybrid engines or hybrid powertrains.
Base deterioration factors for engines
with such emission patterns on the
difference between (or ratio of) the point
at which the highest emissions occur
and the low-hour test point. Note that
this applies for maintenance-related
deterioration only where we allow such
critical emission-related maintenance.
*
*
*
*
*
■ 12. Amend § 1036.241 by revising
paragraph (c)(3) to read as follows:
§ 1036.241 Demonstrating compliance with
greenhouse gas emission standards.
*
*
*
*
(c) * * *
(3) Sawtooth and other nonlinear
deterioration patterns. The deterioration
factors described in paragraphs (c)(1)
and (2) of this section assume that the
highest useful life emissions occur
either at the end of useful life or at the
low-hour test point. The provisions of
this paragraph (c)(3) apply where good
engineering judgment indicates that the
highest useful life emissions will occur
between these two points. For example,
emissions may increase with service
accumulation until a certain
maintenance step is performed, then
return to the low-hour emission levels
and begin increasing again. Such a
pattern may occur with battery-based
§ 1036.205 Requirements for an
hybrid engines or hybrid powertrains.
application for certification.
Base deterioration factors for engines
*
*
*
*
*
with such emission patterns on the
(v) Include good-faith estimates of
difference between (or ratio of) the point
U.S.-directed production volumes.
at which the highest emissions occur
Include a justification for the estimated
and the low-hour test point. Note that
production volumes if they are
this applies for maintenance-related
substantially different than actual
deterioration only where we allow such
production volumes in earlier years for
critical emission-related maintenance.
similar models.
*
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*
*
*
*
*
*
*
*
■ 13. Amend § 1036.245 by revising
■ 11. Amend § 1036.240 by revising
paragraphs (c)(3) introductory text and
paragraph (c)(3) to read as follows:
(c)(3)(ii) introductory text to read as
§ 1036.240 Demonstrating compliance with follows:
criteria pollutant emission standards.
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(c) * * *
(3) Sawtooth and other nonlinear
deterioration patterns. The deterioration
factors described in paragraphs (c)(1)
and (2) of this section assume that the
highest useful life emissions occur
either at the end of useful life or at the
low-hour test point. The provisions of
this paragraph (c)(3) apply where good
engineering judgment indicates that the
highest useful life emissions will occur
between these two points. For example,
emissions may increase with service
accumulation until a certain
maintenance step is performed, then
return to the low-hour emission levels
and begin increasing again. Such a
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*
§ 1036.245 Deterioration factors for
exhaust emission standards.
*
*
*
*
*
(c) * * *
(3) Perform service accumulation in
the laboratory by operating the engine or
hybrid powertrain repeatedly over one
of the following test sequences, or a
different test sequence that we approve
in advance:
*
*
*
*
*
(ii) Duty-cycle sequence 2 is based on
operating over the LLC and the vehiclebased duty cycles from 40 CFR part
1037. Select the vehicle subcategory and
vehicle configuration from § 1036.540 or
§ 1036.545 with the highest reference
cycle work for each vehicle-based duty
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cycle. Operate the engine as follows for
duty-cycle sequence 2:
*
*
*
*
*
■ 14. Amend § 1036.250 by revising
paragraph (a) to read as follows:
§ 1036.250 Reporting and recordkeeping
for certification.
(a) By September 30 following the end
of the model year, send the Designated
Compliance Officer a report including
the total U.S.-directed production
volume of engines you produced in each
engine family during the model year
(based on information available at the
time of the report). Report the
production by serial number and engine
configuration. You may combine this
report with reports required under
subpart H of this part. We may waive
the reporting requirements of this
paragraph (a) for small manufacturers.
*
*
*
*
*
■ 15. Amend § 1036.301 by revising
paragraph (c) to read as follows:
§ 1036.301 Measurements related to GEM
inputs in a selective enforcement audit.
*
*
*
*
*
(c) If your certification includes
powertrain testing as specified in 40
CFR 1036.630, these selective
enforcement audit provisions apply
with respect to powertrain test results as
specified in 40 CFR part 1037, subpart
D, and § 1036.545. We may allow
manufacturers to instead perform the
engine-based testing to simulate the
powertrain test as specified in 40 CFR
1037.551.
*
*
*
*
*
■ 16. Amend § 1036.405 by revising
paragraphs (a)(1), (a)(3) and (d) to read
as follows:
§ 1036.405 Overview of the manufacturerrun field-testing program.
(a) * * *
(1) We may select up to 25 percent of
your engine families in any calendar
year, calculated by dividing the number
of engine families you certified in the
model year corresponding to the
calendar year by four and rounding to
the nearest whole number. We will
consider only engine families with
annual U.S.-directed production
volumes above 1,500 units in
calculating the number of engine
families subject to testing each calendar
year under the annual 25 percent engine
family limit. If you have only three or
fewer families that each exceed an
annual U.S.-directed production volume
of 1,500 units, we may select one engine
family per calendar year for testing.
*
*
*
*
*
(3) We will not select engine families
for testing under this subpart from a
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27APP2
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
given model year if your total U.S.directed production volume was less
than 100 engines.
*
*
*
*
*
(d) You must complete all the
required testing and reporting under
this subpart (for all ten test engines, if
applicable), within 18 months after we
direct you to test a particular engine
family. We will typically select engine
families for testing and notify you in
writing by June 30 of the applicable
calendar year. If you request it, we may
allow additional time to send us this
information.
*
*
*
*
*
■ 17. Amend § 1036.420 by revising
paragraph (a) to read as follows:
§ 1036.420
engines.
Pass criteria for individual
*
*
*
*
*
(a) Determine the emission standard
for each regulated pollutant for each bin
by adding the following accuracy
margins for PEMS to the off-cycle
standards in § 1036.104(a)(3):
TABLE 1 TO PARAGRAPH (a) OF § 1036.420—ACCURACY MARGINS FOR IN-USE TESTING
Bin 1 ........................
Bin 2 ........................
NOX
HC
PM
0.4 g/hr ................................
5 mg/hp·hr ...........................
10 mg/hp·hr .........................
6 mg/hp·hr ...........................
*
*
*
*
*
18. Amend § 1036.501 by adding
paragraph (g) to read as follows:
■
§ 1036.501
General testing provisions.
*
*
*
*
*
(g) For testing engines that use
regenerative braking through the
crankshaft to only power an electric
heater for aftertreatment devices, you
may use the fuel mapping procedure in
§ 1036.505(b)(1) or (2) and the
nonhybrid engine testing procedures in
§§ 1036.510, 1036.512, and 1036.514, as
long as the recovered energy is less than
10 percent of the total positive work for
each applicable transient duty cycle.
Otherwise, use powertrain testing
procedures specified for hybrid engines
or hybrid powertrains to create fuel
maps and measure emissions. For
engines that power an electric heater
with a battery, you must meet the
requirements related to chargesustaining operation as described in 40
CFR 1066.501.
■ 19. Amend § 1036.505 by revising
paragraphs (a), (b) introductory text, and
(b)(3) and (4) to read as follows:
§ 1036.505 Engine data and information to
support vehicle certification.
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*
*
*
*
*
(a) Identify engine make, model, fuel
type, combustion type, engine family
name, calibration identification, and
engine displacement. Also identify
whether the engines meet CO2 standards
for tractors, vocational vehicles, or both.
When certifying vehicles with GEM, for
any fuel type not identified in Table 1
of § 1036.550, select fuel type as diesel
fuel for engines subject to compressionignition standards, and select fuel type
as gasoline for engines subject to sparkignition standards.
(b) This paragraph (b) describes four
different methods to generate engine
fuel maps. For engines without hybrid
components and for mild hybrid
engines where you do not include
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hybrid components in the test, generate
fuel maps using either paragraph (b)(1)
or (2) of this section. For other hybrid
engines, generate fuel maps using
paragraph (b)(3) of this section. For
hybrid powertrains and nonhybrid
powertrains and for vehicles where the
transmission is not automatic,
automated manual, manual, or dualclutch, generate fuel maps using
paragraph (b)(4) of this section.
*
*
*
*
*
(3) Determine fuel consumption at
idle as described in § 1036.535(c) and
(d) and determine cycle-average engine
fuel maps as described in § 1036.545,
including cycle-average engine fuel
maps for highway cruise cycles. Set up
the test to apply accessory load for all
operation by primary intended service
class as described in the following table:
CO
0.25 g/hp·hr.
d. Removing the period in the heading
in Figure 1 to paragraph (d)(4); and
■ e. Revising paragraphs (e), (f), and (g).
The revisions read as follows:
■
§ 1036.510
Supplemental Emission Test.
*
*
*
*
(b) * * *
(2) Test hybrid engines and hybrid
powertrains as described in § 1036.545,
except as specified in this paragraph
(b)(2). Do not compensate the duty cycle
for the distance driven as described in
§ 1036.545(g)(4). For hybrid engines,
select the transmission from Table 1 of
§ 1036.540, substituting ‘‘engine’’ for
‘‘vehicle’’ and ‘‘highway cruise cycle’’
for ‘‘SET’’. Disregard duty cycles in
§ 1036.545(j). For cycles that begin with
idle, leave the transmission in neutral or
park for the full initial idle segment.
Place the transmission into drive no
earlier than 5 seconds before the first
TABLE 1 TO PARAGRAPH (b)(3) OF
nonzero vehicle speed setpoint. For SET
§ 1036.505—ACCESSORY LOAD
testing only, place the transmission into
park or neutral when the cycle reaches
Power repthe final idle segment. Use the following
Primary intended service
resenting acvehicle parameters instead of those in
class
cessory load
(kW)
§ 1036.545 to define the vehicle model
in § 1036.545(a)(3):
Light HDV .............................
1.5
*
*
*
*
Medium HDV ........................
2.5 *
(vii) Select a combination of drive
Heavy HDV ...........................
3.5
axle ratio, ka, and a tire radius, r, that
represents the worst-case combination
(4) Generate powertrain fuel maps as
of final gear ratio, drive axle ratio, and
described in § 1036.545 instead of fuel
tire size for CO2 expected for vehicles in
mapping under § 1036.535 or
which the hybrid engine or hybrid
§ 1036.540. Note that the option in
powertrain will be installed. This is
§ 1036.545(b)(2) is allowed only for
hybrid engine testing. Disable stop-start typically the highest axle ratio and
systems and automatic engine shutdown smallest tire radius. In selecting a drive
axle ratio and tire radius, if
systems when conducting powertrain
representative, ensure that the
fuel map testing using § 1036.545.
maximum vehicle speed is no less than
*
*
*
*
*
60 mi/hr. Manufacturers may request
■ 20. Amend § 1036.510 by:
preliminary approval for selected drive
■ a. Revising paragraphs (b)(2)
axle ratio and tire radius consistent with
introductory text, (b)(2)(vii), and
the provisions of § 1036.210. If the
(b)(2)(viii);
hybrid engine or hybrid powertrain is
■ b. Removing paragraph (b)(2)(ix);
■ c. Revising paragraphs (c)(2)(i)
used exclusively in vehicles which are
introductory text, (d) introductory text,
not capable of reaching 60 mi/hr, follow
and (d)(1) and (2)(ii);
the provisions of 40 CFR 1066.425(b)(5).
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E:\FR\FM\27APP2.SGM
27APP2
and LLC duty cycles and the Tractor
and Heavy HDV highway cruise cycle
parameters for the SET duty cycle.
(c) * * *
(2) * * *
(i) Determine road grade at each point
based on the continuous rated power of
the hybrid powertrain, Pcontrated, in kW
determined in § 1036.520, the vehicle
speed (A, B, or C) in mi/hr for a given
SET mode, vref[speed], and the specified
road-grade coefficients using the
following equation:
*
*
*
*
*
(d) Determine criteria pollutant
emissions for plug-in hybrid engines
and plug-in hybrid powertrains as
follows:
(1) Precondition the engine or
powertrain in charge-sustaining mode.
Perform testing as described in this
section for hybrid engines or hybrid
powertrains in charge-sustaining mode.
(2) * * *
(ii) Operate the engine or powertrain
continuously over repeated SET duty
cycles until you reach the end-of-test
criterion defined in 40 CFR
1066.501(a)(3).
*
*
*
*
*
(e) Determine greenhouse gas
pollutant emissions for plug-in hybrid
engines and plug-in hybrid powertrains
using the emissions results for all the
SET test intervals for both chargedepleting and charge-sustaining
operation from paragraph (d)(2) of this
section. Calculate the utility factorweighted composite mass of emissions
from the charge-depleting and chargesustaining test results, eUF[emission]comp,
using the following equation:
Where:
i = an indexing variable that represents one
test interval.
N = total number of charge-depleting test
intervals.
e[emission][int]CDi = total mass of emissions in
the charge-depleting portion of the test
for each test interval, i, starting from i =
1, including the test interval(s) from the
transition phase.
UFDCDi = utility factor fraction at distance
DCDi from Eq. 1036.510–11, as
determined by interpolating the
approved utility factor curve for each test
interval, i, starting from i = 1. Let
UFDCD0 = 0.
j = an indexing variable that represents one
test interval.
M = total number of charge-sustaining test
intervals.
= total mass of emissions in the
charge-sustaining portion of the test for
each test interval, j, starting from j = 1.
UFRCD = utility factor fraction at the full
charge-depleting distance, RCD, as
determined by interpolating the
approved utility factor curve. RCD is the
cumulative distance driven over N
charge-depleting test intervals.
Q = total number of measurements over the
test interval.
v = vehicle velocity at each time step, k,
starting from k = 1. For tests completed
under this section, v is the vehicle
velocity from the vehicle model in
§ 1036.545. Note that this should include
charge-depleting test intervals that start
when the engine is not yet operating.
Dt = 1/frecord
frecord = the record rate.
Example using the charge-depletion test in
Figure 1 of § 1036.510 for the SET for
CO2 emission determination:
Q = 24000
v1 = 0 mi/hr
v2 = 0.8 mi/hr
v3 = 1.1 mi/hr
frecord = 10 Hz
Dt = 1/10 Hz = 0.1 s
DCD1 = 30.1 mi
DCD2 = 30.0 mi
DCD3 = 30.1 mi
DCD4 = 30.2 mi
DCD5 = 30.1 mi
N=5
UFDCD1 = 0.11
UFDCD2 = 0.23
UFDCD3 = 0.34
UFDCD4 = 0.45
UFDCD5 = 0.53
eCO2SETCD1 = 0 g/hp·hr
eCO2SETCD2 = 0 g/hp·hr
eCO2SETCD3 = 0 g/hp·hr
eCO2SETCD4 = 0 g/hp·hr
eCO2SETCD5 = 174.4 g/hp·hr
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e[emission][int]CSj
Where:
k = an indexing variable that represents one
recorded velocity value.
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M=1
eCO2SETCS = 428.1 g/hp·hr
UFRCD = 0.53
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27APP2
EP27AP23.033
Note for hybrid engines the final gear
ratio can change depending on the dutycycle, which will change the selection
of the drive axle ratio and tire size. For
example, § 1036.520 prescribes a
different top gear ratio than paragraph
(b)(2) of this section.
(viii) If you are certifying a hybrid
engine, use a default transmission
efficiency of 0.95 and create the vehicle
model along with its default
transmission shift strategy as described
in § 1036.545(a)(3)(ii). Use the
transmission parameters defined in
Table 1 of § 1036.540 to determine
transmission type and gear ratio. For
Light HDV and Medium HDV, use the
Light HDV and Medium HDV
parameters for FTP, LLC, and SET duty
cycles. For Tractors and Heavy HDVs,
use the Tractor and Heavy HDV
transient cycle parameters for the FTP
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EP27AP23.032
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(d) Determine criteria pollutant
emissions for plug-in hybrid engines
and plug-in hybrid powertrains as
follows:
(1) Precondition the engine or
powertrain in charge-sustaining mode.
Perform testing as described in this
section for hybrid engines or hybrid
powertrains in charge-sustaining mode.
(2) * * *
(ii) Operate the engine or powertrain
over one FTP duty cycle followed by
alternating repeats of a 20-minute soak
and a hot start test interval until you
reach the end-of-test criteria defined in
40 CFR 1066.501.
*
*
*
*
*
(f) Calculate and evaluate cycle
statistics as specified in 40 CFR
1065.514 for nonhybrid engines and
§ 1036.545 for hybrid engines and
hybrid powertrains.
■ 22. Revise § 1036.514 to read as
follows:
Low Load Cycle.
(a) Measure emissions using the
transient Low Load Cycle (LLC) as
described in this section to determine
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§ 1036.512
Federal Test Procedure.
*
*
*
*
*
(b) * * *
(2) * * *
(v) For plug-in hybrid engines and
plug-in hybrid powertrains, test over the
FTP in both charge-sustaining and
charge-depleting operation for both
criteria and greenhouse gas pollutant
determination.
(c) The FTP duty cycle consists of an
initial run through the test interval from
a cold start as described in 40 CFR part
1065, subpart F, followed by a (20 ±1)
minute hot soak with no engine
operation, and then a final hot start run
whether engines meet the LLC emission
standards in § 1036.104.
(b) The LLC duty cycle is described in
paragraph (d) of appendix B of this part.
The following procedures apply
differently for testing nonhybrid
engines, hybrid engines, and hybrid
powertrains:
(1) For nonhybrid engine testing, use
the following procedures:
(i) Use the normalized speed and
torque values for engine testing in the
LLC duty cycle described in paragraph
(d) of appendix B of this part.
(ii) Denormalize speed and torque
values as described in 40 CFR 1065.512
and 1065.610 with the following
additional requirements:
(A) The accessory load at idle
described in paragraph (c) of this
section must be applied using the
optional declared idle power in 40 CFR
1065.510(f)(6). Use of the optional
declared idle torque in 40 CFR
1065.510(f)(5)(iii) is not allowed and
must be zero.
(B) Replace paragraph 40 CFR
1065.610(d)(3)(vi) with the following:
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through the same transient test interval.
Engine starting is part of both the coldstart and hot-start test intervals.
Calculate the total emission mass of
each constituent, m, over each test
interval as described in 40 CFR
1065.650. For nonhybrid engines,
calculate the total work, W, over the test
interval as described in 40 CFR
1065.650(d). For hybrid engines and
hybrid powertrains, calculate total
positive work over each test interval
using system power, Psys. Determine Psys
using § 1036.520(f). For powertrains
with automatic transmissions, account
for and include the work produced by
the engine from the CITT load. Calculate
the official transient emission result
from the cold-start and hot-start test
intervals using the following equation:
(1) For all other idle segments less
than or equal to 200 s in length, set the
reference speed and torque values to the
warm-idle-in-drive values. This is to
represent the transmission operating in
drive.
(2) For idle segments more than 200
s in length, set the reference speed and
torque values to the warm-idle-in-drive
values for the first three seconds and the
last three seconds of the idle segment.
For all other points in the idle segment
set the reference speed and torque
values to the warm-idle-in-neutral
values. This is to represent the
transmission being manually shifted
from drive to neutral near the beginning
of the idle segment and back to drive
near the end of the idle segment.
(iii) Calculate and evaluate cycle
statistics as described in 40 CFR
1065.514. For testing spark-ignition
gaseous-fueled engines with fuel
delivery at a single-point in the intake
manifold, you may apply the statistical
criteria in Table 1 in this section to
validate the LLC.
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.036
(f) Calculate and evaluate cycle
statistics as specified in 40 CFR
1065.514 for nonhybrid engines and
§ 1036.545 for hybrid engines and
hybrid powertrains.
(g) Calculate the total emission mass
of each constituent, m, over the test
interval as described in 40 CFR
1065.650. For nonhybrid engines,
calculate the total work, W, over the test
interval as described in 40 CFR
1065.650(d). For hybrid engines and
hybrid powertrains, calculate total
positive work over the test interval
using system power, Psys. Determine
Psys, using § 1036.520(f).
■ 21. Amend § 1036.512 by:
■ a. Revising paragraphs (b)(2)(v), (c),
(d) introductory text, (d)(1) and (2)(ii);
§ 1036.514
b. Removing the period in the heading
in Figure 1 to paragraph (d)(4); and
■ c. Revising paragraph (f).
The revisions read as follows:
■
EP27AP23.035
eUFCO2comp = 215.2 g/hp·hr
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TABLE 1 TO PARAGRAPH (b)(1)(III) OF § 1036.514—STATISTICAL CRITERIA FOR VALIDATING DUTY CYCLES FOR GASEOUSFUELED SPARK-IGNITION ENGINES a
Parameter
Speed
Torque
Slope, a1 ........................................
Absolute value of intercept, |a0| ......
Standard error of the estimate,
SEE.
Coefficient of determination, r2 ......
.......................................................
0.800 ≤a1 ≤1.030 .........................
0.800 ≤a1 ≤1.030.
.......................................................
.......................................................
.......................................................
≥0.650 ...........................................
≤15% of
power.
≥0.650.
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a Statistical
maximum
mapped
criteria apply as specified in 40 CFR 1065.514 unless otherwise specified.
(2) Test hybrid engines and hybrid
powertrains as described in
§ 1036.510(b)(2), with the following
exceptions:
(i) Replace Pcontrated with Prated, which
is the peak rated power determined in
§ 1036.520.
(ii) Keep the transmission in drive for
all idle segments 200 seconds or less.
For idle segments more than 200
seconds, leave the transmission in drive
for the first 3 seconds of the idle
segment, place the transmission in park
or neutral immediately after the 3rd
second in the idle segment, and shift the
transmission into drive again 3 seconds
before the end of the idle segment
which is defined by the first nonzero
vehicle speed setpoint.
(iii) For hybrid engines, select the
transmission from Table 1 of § 1036.540,
substituting ‘‘engine’’ for ‘‘vehicle’’.
(iv) For hybrid engines, you may
request to change the GEM-generated
engine reference torque at idle to better
represent curb idle transmission torque
(CITT).
(v) For plug-in hybrid engines and
plug-in hybrid powertrains, determine
criteria pollutant and greenhouse gas
emissions as described in § 1036.510(d)
and (e), replacing ‘‘SET’’ with ‘‘LLC’’.
(vi) Calculate and evaluate cycle
statistics as specified in § 1036.545.
(c) Apply a vehicle accessory load for
each idle point in the cycle based on a
constant power. Use the power values in
Table 2 to paragraph (c)(3) of this
section based on primary intended
service class. For nonhybrid engine
testing, this is in addition to any
applicable CITT. Additional provisions
related to vehicle accessory load apply
for the following special cases:
(1) For engines with stop-start
technology, account for the loss of
mechanical work due to the lack of any
idle accessory load during engine-off
conditions by determining the total loss
of mechanical work from idle accessory
load during all engine-off intervals over
the entire test interval and distributing
that work over the engine-on intervals of
the entire test interval based on a
calculated average power. You may
determine the engine-off time by
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23:53 Apr 26, 2023
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running practice cycles or through
engineering analysis.
(2) Apply vehicle accessory power
loads on idle points for hybrid
powertrain testing where torque is
measured at the axle input shaft or
wheel hubs either as a mechanical or
electrical load.
(3) Table 2 follows:
nonhybrid powertrain systems and the
vehicle speed for carrying out dutycycle testing under this part and
§ 1036.545.
*
*
*
*
*
(b) Set up the powertrain test
according to § 1036.545, with the
following exceptions:
*
*
*
*
*
(d) * * *
TABLE 2 TO PARAGRAPH (c)(3) OF
(2) Set maximum driver demand for a
§ 1036.514—ACCESSORY LOAD AT full load acceleration at 6.0% road grade
with an initial vehicle speed of 0 mi/hr,
IDLE
continuing for 268 seconds. You may
Power
decrease the road grade in the first 30
Primary intended service
representing
seconds or increase initial vehicle speed
class
accessory
up to 5 mi/hr as needed to mitigate
load (kW)
clutch slip.
(3) Linearly ramp the grade from 6.0%
Light HDE .............................
1.5
Medium HDE ........................
2.5 down to 0.0% over 300 seconds. Stop
Heavy HDE ...........................
3.5 the test after the acceleration is less than
0.02 m/s2.
(d) The test sequence consists of
*
*
*
*
*
preconditioning the engine by running
(h) Determine rated power, Prated, as
one or two FTPs with each FTP
the maximum measured power from the
followed by (20 ±1) minutes with no
data collected in paragraph (d)(2) of this
engine operation and a hot start run
section where the COV determined in
through the LLC. You may start any
paragraph (g) of this section is less than
preconditioning FTP with a hot engine.
2%.
Perform testing as described in 40 CFR
(i) * * *
1065.530 for a test interval that includes
(2) For hybrid powertrains, Pcontrated
engine starting. Calculate the total
is the maximum measured power from
emission mass of each constituent, m,
the data collected in paragraph (d)(3) of
over the test interval as described in 40
this section where the COV determined
CFR 1065.650. For nonhybrid engines,
in paragraph (g) of this section is less
calculate the total work, W, over the test than 2%.
interval as described in 40 CFR
*
*
*
*
*
1065.650(d). For hybrid engines and
■ 24. Amend § 1036.525 by revising the
hybrid powertrains, calculate total
introductory text to read as follows:
positive work over the test interval
§ 1036.525 Clean Idle test.
using system power, Psys. Determine
Measure emissions using the
Psys using § 1036.520(f). For
procedures described in this section to
powertrains with automatic
determine whether engines and hybrid
transmissions, account for and include
powertrains meet the clean idle
the work produced by the engine from
emission standards in § 1036.104(b). For
the CITT load.
plug-in hybrid engines and plug-in
■ 23. Amend § 1036.520 by revising the
hybrid powertrains, perform the test
introductory text, paragraphs (b)
introductory text, (d)(2) and (3), (h), and with the hybrid function disabled.
(i)(2) to read as follows:
*
*
*
*
*
■ 25. Amend § 1036.530 by adding
§ 1036.520 Determining power and vehicle
paragraph (j) to read as follows:
speed values for powertrain testing.
This section describes how to
determine the system peak power and
continuous rated power of hybrid and
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§ 1036.530
testing.
Test procedures for off-cycle
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(j) Fuel other than carbon-containing.
The following procedures apply for
testing engines using at least one fuel
that is not a carbon-containing fuel:
(1) Use the following equation to
determine mCO2,norm,testinterval instead of
Eq. 1036.530–2:
Where:
Wtestinterval = total positive work over the test
interval as determined in 40 CFR
1065.650.
Pmax = the highest value of rated power for
all the configurations included in the
engine family.
ttestinterval = duration of the test interval. Note
that the nominal value is 300 seconds.
Example:
Wtestinterval = 8.95 hp·hr
Pmax = 406.5 hp
ttestinterval = 300.01 s = 0.08 hr
mCO2,norm,testinterval = 0.2722
mCO2,norm,testinterval = 27.22%
m[emission] = total emission mass for a given
pollutant over the test interval as determined
in paragraph (d)(2) of this section.
Wtestinterval = total positive work over the
test interval as determined in 40 CFR
1065.650.
Example:
mNOx = 1.337 g
Wtestinterval = 38.2 hp·hr
eNOx,offcycle = 0.035 g/hp·hr
Where:
i = an indexing variable that represents one
300 second test interval.
N = total number of 300 second test intervals
in bin 2.
m[emission],testinterval,i = total emission mass for
a given pollutant over the test interval i
in bin 2 as determined in paragraph
(d)(2) of this section.
Wtestinterval,i = total positive work over the test
interval i in bin 2 as determined in 40
CFR 1065.650.
Example:
N = 15439
mNOx1 = 0.546 g
mNOx2 = 0.549 g
mNOx3 = 0.556 g
Wtestinterval1 = 8.91 hp·hr
Wtestinterval2 = 8.94 hp·hr
Wtestinterval3 = 8.89 hp·hr
eNOx,offcycle,bin2 = 0.026 g/hp·hr
§ 1036.535 Determining steady-state
engine fuel maps and fuel consumption at
idle.
mapped torque, Tmax mapped, and
eight (or more) equally spaced points
between T = 0 and Tmax mapped.
Select the maximum torque setpoint at
each speed to conform to the torque
map as follows:
*
*
*
*
*
(B) Select Tmax at each speed setpoint
as a single torque value to represent all
(2) Determine off-cycle emissions
quantities as follows:
(i) For engines subject to sparkignition standards, use the following
equation instead of Eq. 1036.530–3:
(ii) For engines subject to
compression-ignition standards, use Eq.
1036.530–4 to determine the off-cycle
emission quantity for bin 1.
(iii) For engines subject to
compression-ignition standards, use the
following equation instead of Eq.
1036.530–5 to determine the off-cycle
emission quantity for bin 2:
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*
*
*
*
(b) * * *
(1) * * *
(ii) Select the following required
torque setpoints at each of the selected
speed setpoints: zero (T = 0), maximum
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26. Amend § 1036.535 by revising
paragraphs (b)(1)(ii) introductory text,
(b)(1)(ii)(B), (b)(1)(iii), and (b)(10) to
read as follows:
■
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Where:
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the default torque setpoints above the
value determined in paragraph
(b)(1)(ii)(A) of this section. All of the
other default torque setpoints less than
Tmax at a given speed setpoint are
required torque setpoints.
(iii) You may select any additional
speed and torque setpoints consistent
with good engineering judgment. For
example you may need to select
additional points if the engine’s fuel
consumption is nonlinear across the
torque map. Avoid creating a problem
with interpolation between narrowly
spaced speed and torque setpoints near
Tmax. For each additional speed
setpoint, we recommend including a
torque setpoint of Tmax; however, you
may select torque setpoints that
properly represent in-use operation.
Increments for torque setpoints between
these minimum and maximum values at
an additional speed setpoint must be no
more than one-ninth of Tmax,mapped. Note
that if the test points were added for the
child rating, they should still be
reported in the parent fuel map. We will
test with at least as many points as you.
If you add test points to meet testing
requirements for child ratings, include
those same test points as reported
values for the parent fuel map. For our
testing, we will use the same
normalized speed and torque test points
you use, and we may select additional
test points.
*
*
*
*
*
(10) Correct the measured or
calculated mean fuel mass flow rate, at
each of the operating points to account
for mass-specific net energy content as
described in paragraph (e) of this
section.
*
*
*
*
*
■ 27. Amend § 1036.540 by revising
paragraph (b) to read as follows:
§ 1036.540 Determining cycle-average
engine fuel maps.
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*
*
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(b) General test provisions. The
following provisions apply for testing
under this section:
(1) Measure NOX emissions for each
specified sampling period in grams. You
may perform these measurements using
a NOX emission-measurement system
that meets the requirements of 40 CFR
part 1065, subpart J. Include these
measured NOX values any time you
report to us your fuel-consumption
values from testing under this section. If
a system malfunction prevents you from
measuring NOX emissions during a test
under this section but the test otherwise
gives valid results, you may consider
this a valid test and omit the NOX
emission measurements; however, we
may require you to repeat the test if we
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determine that you inappropriately
voided the test with respect to NOX
emission measurement.
(2) The provisions related to carbon
balance error verification in § 1036.543
apply for all testing in this section.
These procedures are optional, but we
will perform carbon balance error
verification for all testing under this
section.
(3) Correct fuel mass to a massspecific net energy content of a
reference fuel as described in paragraph
(d)(13) of this section.
(4) This section uses engine
parameters and variables that are
consistent with 40 CFR part 1065.
*
*
*
*
*
■ 28. Revise § 1036.543 to read as
follows:
§ 1036.543 Carbon balance error
verification.
The optional carbon balance error
verification in 40 CFR 1065.543
compares independent assessments of
the flow of carbon through the system
(engine plus aftertreatment). This
procedure applies for each individual
interval in §§ 1036.535(b), (c), and (d),
1036.540, and 1036.545.
■ 29. Add § 1036.545 to read as follows:
§ 1036.545
Powertrain testing.
This section describes the procedure
to measure fuel consumption and create
engine fuel maps by testing a powertrain
that includes an engine coupled with a
transmission, drive axle, and hybrid
components or any assembly with one
or more of those hardware elements.
Engine fuel maps are part of
demonstrating compliance with Phase 2
and Phase 3 vehicle standards under 40
CFR part 1037; the powertrain test
procedure in this section is one option
for generating this fuel-mapping
information as described in § 1036.505.
Additionally, this powertrain test
procedure is one option for certifying
hybrid engines and hybrid powertrains
to the engine standards in §§ 1036.104
and 1036.108.
(a) General test provisions. The
following provisions apply broadly for
testing under this section:
(1) Measure NOX emissions as
described in paragraph (k) of this
section. Include these measured NOX
values any time you report to us your
greenhouse gas emissions or fuel
consumption values from testing under
this section.
(2) The procedures of 40 CFR part
1065 apply for testing in this section
except as specified. This section uses
engine parameters and variables that are
consistent with 40 CFR part 1065.
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(3) Powertrain testing depends on
models to calculate certain parameters.
You can use the detailed equations in
this section to create your own models,
or use the GEM HIL model contained
within GEM Phase 2, Version 4.0
(incorporated by reference, see
§ 1036.810) to simulate vehicle
hardware elements as follows:
(i) Create driveline and vehicle
models that calculate the angular speed
setpoint for the test cell dynamometer,
fnref,dyno, based on the torque
measurement location. Use the detailed
equations in paragraph (f) of this
section, the GEM HIL model’s driveline
and vehicle submodels, or a
combination of the equations and the
submodels. You may use the GEM HIL
model’s transmission submodel in
paragraph (f) of this section to simulate
a transmission only if testing hybrid
engines.
(ii) Create a driver model or use the
GEM HIL model’s driver submodel to
simulate a human driver modulating the
throttle and brake pedals to follow the
test cycle as closely as possible.
(iii) Create a cycle-interpolation
model or use the GEM HIL model’s
cycle submodel to interpolate the dutycycles and feed the driver model the
duty-cycle reference vehicle speed for
each point in the duty-cycle.
(4) The powertrain test procedure in
this section is designed to simulate
operation of different vehicle
configurations over specific duty cycles.
See paragraphs (h) and (j) of this
section.
(5) For each test run, record engine
speed and torque as defined in 40 CFR
1065.915(d)(5) with a minimum
sampling frequency of 1 Hz. These
engine speed and torque values
represent a duty cycle that can be used
for separate testing with an engine
mounted on an engine dynamometer
under 40 CFR 1037.551, such as for a
selective enforcement audit as described
in 40 CFR 1037.301.
(6) For hybrid powertrains with no
plug-in capability, correct for the net
energy change of the energy storage
device as described in 40 CFR 1066.501.
For plug-in hybrid electric powertrains,
follow 40 CFR 1066.501 to determine
End-of-Test for charge-depleting
operation. You must get our approval in
advance for your utility factor curve; we
will approve it if you can show that you
created it, using good engineering
judgment, from sufficient in-use data of
vehicles in the same application as the
vehicles in which the plug-in hybrid
electric powertrain will be installed.
You may use methodologies described
in SAE J2841 to develop the utility
factor curve.
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(7) The provisions related to carbon
balance error verification in § 1036.543
apply for all testing in this section.
These procedures are optional if you are
only performing direct or indirect fuelflow measurement, but we will perform
carbon balance error verification for all
testing under this section.
(8) Do not apply accessory loads when
conducting a powertrain test to generate
inputs to GEM if torque is measured at
the axle input shaft or wheel hubs.
(9) If you test a powertrain over the
duty cycle specified in § 1036.514,
control and apply the electrical
accessory loads using one of the
following systems:
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(i) An alternator with dynamic
electrical load control.
(ii) A load bank connected directly to
the powertrain’s electrical system.
(10) The following instruments are
required with plug-in hybrid systems to
determine required voltages and
currents during testing and must be
installed on the powertrain to measure
these values during testing:
(i) Measure the voltage and current of
the battery pack directly with a DC
wideband power analyzer to determine
power. Measure all current entering and
leaving the battery pack. Do not measure
voltage upstream of this measurement
point. The maximum integration period
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for determining amp-hours is 0.05
seconds. The power analyzer must have
an accuracy for measuring current and
voltage of 1% of point or 0.3% of
maximum, whichever is greater. The
power analyzer must not be susceptible
to offset errors while measuring current.
(ii) If safety considerations do not
allow for measuring voltage, you may
determine the voltage directly from the
powertrain ECM.
(11) The following figure provides an
overview of the steps involved in
carrying out testing under this section:
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Figure 1 to Paragraph (a)(11) of
§ 1036.545—Overview of Powertrain
Testing
calculate the dynamometer setpoints at
a rate of at least 100 Hz. If the
dynamometer’s command frequency is
less than the vehicle model
dynamometer setpoint frequency,
subsample the calculated setpoints for
commanding the dynamometer
setpoints.
(f) Driveline and vehicle model. Use
the GEM HIL model’s driveline and
vehicle submodels or the equations in
this paragraph (f) to calculate the
dynamometer speed setpoint, fnref,dyno,
based on the torque measurement
location. For all powertrains, configure
GEM with the accessory load set to zero.
For hybrid engines, configure GEM with
the applicable accessory load as
specified in §§ 1036.505 and 1036.514.
For all powertrains and hybrid engines,
configure GEM with the tire slip model
disabled.
(1) Driveline model with a
transmission in hardware. For testing
with torque measurement at the axle
input shaft or wheel hubs, calculate,
fnref,dyno, using the GEM HIL model’s
driveline submodel or the following
equation:
Where:
ka[speed] = drive axle ratio as determined in
paragraph (h) of this section. Set ka[speed]
equal to 1.0 if torque is measured at the
wheel hubs.
vrefi = simulated vehicle reference speed as
calculated in paragraph (f)(3) of this
section.
r[speed] = tire radius as determined in
paragraph (h) of this section.
(2) Driveline model with a simulated
transmission. For testing with the torque
measurement at the engine’s crankshaft,
fnref,dyno is the dynamometer target speed
from the GEM HIL model’s transmission
submodel. You may request our
approval to change the transmission
submodel, as long as the changes do not
affect the gear selection logic. Before
testing, initialize the transmission
model with the engine’s measured
torque curve and the applicable steadystate fuel map from the GEM HIL model.
You may request our approval to input
your own steady-state fuel map. For
example, this request for approval could
include using a fuel map that represents
the combined performance of the engine
and hybrid components. Configure the
torque converter to simulate neutral idle
when using this procedure to generate
engine fuel maps in § 1036.505 or to
perform the Supplemental Emission
Test (SET) testing under § 1036.510.
You may change engine commanded
torque at idle to better represent CITT
for transient testing under § 1036.512.
You may change the simulated engine
inertia to match the inertia of the engine
under test. We will evaluate your
requests under this paragraph (f)(2)
based on your demonstration that that
the adjusted testing better represents inuse operation.
(i) The transmission submodel needs
the following model inputs:
(A) Torque measured at the engine’s
crankshaft.
(B) Engine estimated torque
determined from the electronic control
module or by converting the
instantaneous operator demand to an
instantaneous torque in N·m.
(C) Dynamometer mode when idling
(speed-control or torque-control).
(D) Measured engine speed when
idling.
(E) Transmission output angular
speed, fni,transmission, calculated as
follows:
Where:
ka[speed] = drive axle ratio as determined in
paragraph (h) of this section.
vrefi = simulated vehicle reference speed as
calculated in paragraph (f)(3) of this
section.
r[speed] = tire radius as determined in
paragraph (h) of this section.
(ii) The transmission submodel
generates the following model outputs:
(A) Dynamometer target speed.
(B) Dynamometer idle load.
(C) Transmission engine load limit.
(D) Engine speed target.
(3) Vehicle model. Calculate the
simulated vehicle reference speed, nrefi,
using the GEM HIL model’s vehicle
submodel or the equations in this
paragraph (f)(3):
EP27AP23.045
(b) Test configuration. Select a
powertrain for testing as described in 40
CFR 1037.235 or § 1036.235 as
applicable. Set up the engine according
to 40 CFR 1065.110 and 40 CFR
1065.405(b). Set the engine’s idle speed
to idle speed defined in 40 CFR
1037.520(h)(1).
(1) The default test configuration
consists of a powertrain with all
components upstream of the axle. This
involves connecting the powertrain’s
output shaft directly to the
dynamometer or to a gear box with a
fixed gear ratio and measuring torque at
the axle input shaft. You may instead
set up the dynamometer to connect at
the wheel hubs and measure torque at
that location. The preceding sentence
may apply if your powertrain
configuration requires it, such as for
hybrid powertrains or if you want to
represent the axle performance with
powertrain test results. Alternately you
may test the powertrain with a chassis
dynamometer as long as you measure
speed and torque at the powertrain’s
output shaft or wheel hubs.
(2) For testing hybrid engines, connect
the engine’s crankshaft directly to the
dynamometer and measure torque at
that location.
(c) Powertrain temperatures during
testing. Cool the powertrain during
testing so temperatures for oil, coolant,
block, head, transmission, battery, and
power electronics are within the
manufacturer’s expected ranges for
normal operation. You may use
electronic control module outputs to
comply with this paragraph (c). You
may use auxiliary coolers and fans.
(d) Engine break in. Break in the
engine according to 40 CFR 1065.405,
the axle assembly according to 40 CFR
1037.560, and the transmission
according to 40 CFR 1037.565. You may
instead break in the powertrain as a
complete system using the engine break
in procedure in 40 CFR 1065.405.
(e) Dynamometer setup. Set the
dynamometer to operate in speedcontrol mode (or torque-control mode
for hybrid engine testing at idle,
including idle portions of transient duty
cycles). Record data as described in 40
CFR 1065.202. Command and control
the dynamometer speed at a minimum
of 5 Hz, or 10 Hz for testing hybrid
engines. Run the vehicle model to
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g = gravitational constant = 9.80665 m/s2.
Crr = coefficient of rolling resistance for a
vehicle class as determined in paragraph
(h) of this section.
Gi–1 = the percent grade interpolated at
distance, Di–1, from the duty cycle in
appendix D to this part corresponding to
measurement (i–1).
(4) Example. The following example
illustrates a calculation of fnref,dyno using
paragraph (f)(1) of this section where
torque is measured at the axle input
shaft. This example is for a vocational
Light HDV or vocational Medium HDV
with 6 speed automatic transmission at
B speed (Test 4 in Table 1 to paragraph
(h)(2)(ii) of this section).
EP27AP23.047
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r = air density at reference conditions. Use
r = 1.1845 kg/m3.
CdA = drag area for a vehicle class as
determined in paragraph (h) of this
section.
Fbrake,i-1 = instantaneous braking force applied
by the driver model.
Dt = the time interval between measurements.
For example, at 100 Hz, Dt = 0.0100
seconds.
Mrotating = inertial mass of rotating
components. Let Mrotating = 340 kg for
vocational Light HDV or vocational
Medium HDV. See paragraph (h) of this
section for tractors and for vocational
Heavy HDV.
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Where:
i = a time-based counter corresponding to
each measurement during the sampling
period.
Let vref1 = 0; start calculations at i = 2. A 10minute sampling period will generally
involve 60,000 measurements.
T = instantaneous measured torque at the
axle input, measured at the wheel hubs,
or simulated by the GEM HIL model’s
transmission submodel. For
configurations with multiple torque
measurements, for example when
measuring torque at the wheel hubs, T is
the sum of all torque measurements.
Effaxle = axle efficiency. Use Effaxle = 0.955 for
T ≥ 0, and use Effaxle = 1/0.955 for T <
0. Use Effaxle = 1.0 if torque is measured
at the wheel hubs.
M = vehicle mass for a vehicle class as
determined in paragraph (h) of this
section.
(g) Driver model. Use the GEM HIL
model’s driver submodel or design a
driver model to simulate a human driver
modulating the throttle and brake
pedals. In either case, tune the model to
follow the test cycle as closely as
possible meeting the following
specifications:
(1) The driver model must meet the
following speed requirements:
(i) For operation over the highway
cruise cycles, the speed requirements
described in 40 CFR 1066.425(b) and (c).
(ii) For operation over the transient
cycle specified in appendix A of this
part, the SET as defined § 1036.510, the
Federal Test Procedure (FTP) as defined
in § 1036.512, and the Low Load Cycle
(LLC) as defined in § 1036.514, the
speed requirements described in 40 CFR
1066.425(b) and (c).
(iii) The exceptions in 40 CFR
1066.425(b)(4) apply to the highway
cruise cycles, the transient cycle
specified in appendix A of this part,
SET, FTP, and LLC.
(iv) If the speeds do not conform to
these criteria, the test is not valid and
must be repeated.
(2) Send a brake signal when operator
demand is zero and vehicle speed is
greater than the reference vehicle speed
from the test cycle. Include a delay
before changing the brake signal to
prevent dithering, consistent with good
engineering judgment.
(3) Allow braking only if operator
demand is zero.
(4) Compensate for the distance
driven over the duty cycle over the
course of the test. Use the following
equation to perform the compensation
in real time to determine your time in
the cycle:
Where:
vvehicle = measured vehicle speed.
vcycle = reference speed from the test cycle. If
vcycle,i-1 < 1.0 m/s, set vcycle,i-1 = vvehiclei-1
vehicle models from paragraph (f) of
this section in the test cell to test the
powertrain. Simulate multiple vehicle
configurations that represent the range
of intended vehicle applications using
one of the following options:
(1) For known vehicle configurations,
use at least three equally spaced axle
ratios or tire sizes and three different
road loads (nine configurations), or at
least four equally spaced axle ratios or
tire sizes and two different road loads
(eight configurations). Select axle ratios
to represent the full range of expected
vehicle installations. Select axle ratios
and tire sizes such that the ratio of
(h) Vehicle configurations to evaluate
for generating fuel maps as defined in
§ 1036.505. Configure the driveline and
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cover the range of intended vehicle
applications or you may use the Crr,
CdA, and mass values specified in
paragraph (h)(2) of this section.
(2) If vehicle configurations are not
known, determine the vehicle model
inputs for a set of vehicle configurations
as described in § 1036.540(c)(3) with the
following exceptions:
(i) In the equations of
§ 1036.540(c)(3)(i), ktopgear is the actual
top gear ratio of the powertrain instead
of the transmission gear ratio in the
highest available gear given in Table 1
in § 1036.540.
(ii) Test at least eight different vehicle
configurations for powertrains that will
be installed in Spark-ignition HDE,
vocational Light HDV, and vocational
Medium HDV using the following table
instead of Table 2 in § 1036.540:
(iii) Select and test vehicle
configurations as described in
§ 1036.540(c)(3)(iii) for powertrains that
will be installed in vocational Heavy
HDV and tractors using the following
tables instead of Table 3 and Table 4 in
§ 1036.540:
EP27AP23.052
engine speed to vehicle speed covers the
range of ratios of minimum and
maximum engine speed to vehicle speed
when the transmission is in top gear for
the vehicles in which the powertrain
will be installed. Note that you do not
have to use the same axle ratios and tire
sizes for each GEM regulatory
subcategory. You may determine
appropriate Crr, CdA, and mass values to
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(3) For hybrid powertrain systems
where the transmission will be
simulated, use the transmission
parameters defined in § 1036.540(c)(2)
to determine transmission type and gear
ratio. Use a fixed transmission
efficiency of 0.95. The GEM HIL
transmission model uses a transmission
parameter file for each test that includes
the transmission type, gear ratios,
lockup gear, torque limit per gear from
§ 1036.540(c)(2), and the values from
§ 1036.505(b)(4) and (c).
(i) [Reserved]
(j) Duty cycles to evaluate. Operate the
powertrain over each of the duty cycles
specified in 40 CFR 1037.510(a)(2), and
for each applicable vehicle
configuration from paragraph (h) of this
section. Determine cycle-average
powertrain fuel maps by testing the
powertrain using the procedures in
§ 1036.540(d) with the following
exceptions:
(1) Understand ‘‘engine’’ to mean
‘‘powertrain’’.
(2) Warm up the powertrain as
described in § 1036.520(c)(1).
(3) Within 90 seconds after
concluding the warm-up, start the
transition to the preconditioning cycle
as described in paragraph (j)(5) of this
section.
(4) For plug-in hybrid engines,
precondition the battery and then
complete all back-to-back tests for each
vehicle configuration according to 40
CFR 1066.501 before moving to the next
vehicle configuration. Figure 2 of this
section provides an example of a chargedepleting test sequence where there are
two test intervals that contain engine
operation. Figure 2 follows:
(5) If the preceding duty cycle does
not end at 0 mi/hr, transition between
duty cycles by decelerating at a rate of
2 mi/hr/s at 0% grade until the vehicle
reaches zero speed. Shut off the
powertrain. Prepare the powertrain and
test cell for the next duty-cycle.
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Figure 2 to Paragraph (j)(4) of
§ 1036.545—Generic Duty-Cycle Cycle
Charge-Depleting Test Sequence
EP27AP23.053
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(6) Start the next duty-cycle within 60
to 180 seconds after shutting off the
powertrain.
(i) To start the next duty-cycle, for
hybrid powertrains, key on the vehicle
and then start the duty-cycle. For
conventional powertrains key on the
vehicle, start the engine, wait for the
engine to stabilize at idle speed, and
then start the duty-cycle.
(ii) If the duty-cycle does not start at
0 mi/hr, transition to the next duty cycle
by accelerating at a target rate of 1 mi/
hr/s at 0% grade. Stabilize for 10
seconds at the initial duty cycle
conditions and start the duty-cycle.
(7) Calculate cycle work using GEM or
the speed and torque from the driveline
and vehicle models from paragraph (f)
of this section to determine the
sequence of duty cycles.
(8) Calculate the mass of fuel
consumed for idle duty cycles as
described in paragraph (n) of this
section.
(k) Measuring NOX emissions.
Measure NOX emissions for each
sampling period in grams. You may
perform these measurements using a
NOX emission-measurement system that
meets the requirements of 40 CFR part
1065, subpart J. If a system malfunction
prevents you from measuring NOX
emissions during a test under this
section but the test otherwise gives valid
results, you may consider this a valid
test and omit the NOX emission
measurements; however, we may
require you to repeat the test if we
determine that you inappropriately
Where:
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MC = molar mass of carbon.
wCmeas = carbon mass fraction of fuel (or
mixture of test fuels) as determined in 40
CFR 1065.655(d), except that you may
not use the default properties in Table 2
of 40 CFR 1065.655 to determine a, b,
and wC for liquid fuels.
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voided the test with respect to NOX
emission measurement.
(l) [Reserved]
(m) Measured output speed
validation. For each test point, validate
the measured output speed(s) with the
corresponding reference values. For test
setups where speed is measured at
multiple locations, each location must
meet the requirements in this paragraph
(m). If the range of reference speed is
less than 10 percent of the mean
reference speed, you need to meet only
the standard error of the estimate in
Table 1 of this section. You may delete
points when the vehicle is stopped. If
your speed measurement is not at the
location of fnref, correct your measured
speed using the constant speed ratio
between the two locations. Apply cyclevalidation criteria for each separate
transient or highway cruise cycle based
on the following parameters:
TABLE 4 TO PARAGRAPH (m) OF
§ 1036.545—STATISTICAL CRITERIA
FOR VALIDATING DUTY CYCLES
Parameter a
Slope, a1 ...................
Absolute value of
intercept, |a0|.
Standard error of the
estimate, SEE.
Coefficient of determination, r2.
Speed control
0.990 ≤ a1 ≤ 1.010.
≤2.0% of maximum
fnref speed.
≤2.0% of maximum
fnref speed.
≥0.990.
a Determine values for specified parameters
as described in 40 CFR 1065.514(e) by comparing measured and reference values for
fnref,dyno.
Ô
nexh = the mean raw exhaust molar flow rate
from which you measured emissions
according to 40 CFR 1065.655.
x¯Ccombdry = the mean concentration of carbon
from fuel and any injected fluids in the
exhaust per mole of dry exhaust.
x¯H2Oexhdry = the mean concentration of H2O in
exhaust per mole of dry exhaust.
Ô
m
CO2DEF = the mean CO2 mass emission rate
resulting from diesel exhaust fluid
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(n) Fuel consumption at idle. Record
measurements using direct and/or
indirect measurement of fuel flow.
Determine the fuel-consumption rates at
idle for the applicable duty cycles
described in 40 CFR 1037.510(a)(2) as
follows:
(1) Direct fuel flow measurement.
Determine the corresponding mean
values for mean idle fuel mass flow rate,
Ô
m
fuelidle, for each duty cycle, as
applicable. Use of redundant direct fuelflow measurements require our advance
approval.
(2) Indirect fuel flow measurement.
Record speed and torque and measure
emissions and other inputs needed to
run the chemical balance in 40 CFR
1065.655(c). Determine the
corresponding mean values for each
duty cycle. Use of redundant indirect
fuel-flow measurements require our
advance approval. Measure background
concentration as described in
§ 1036.535(b)(4)(ii). We recommend
setting the CVS flow rate as low as
possible to minimize background, but
without introducing errors related to
insufficient mixing or other operational
considerations. Note that for this testing
40 CFR 1065.140(e) does not apply,
including the minimum dilution ratio of
2:1 in the primary dilution stage.
Calculate the idle fuel mass flow rate for
Ô
each duty cycle, m
fuelidle, for each set of
vehicle settings, as follows:
decomposition over the duty cycle as
determined in § 1036.535(b)(9). If your
engine does not use diesel exhaust fluid,
or if you choose not to perform this
correction, set equal to 0.
MCO2 = molar mass of carbon dioxide.
Example:
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27APP2
EP27AP23.055
26116
(2) Declare fuel masses, mfuel[cycle] and
Ô
m
fuelidle. Determine mfuel[cycle] using the
calculated fuel mass consumption
values described in § 1036.540(d)(12). In
addition, declare mean fuel mass flow
rate for each applicable idle duty cycle,
Ô
m
fuelidle. These declared values may not
be lower than any corresponding
measured values determined in this
section. If you use both direct and
indirect measurement of fuel flow,
determine the corresponding declared
values as described in § 1036.535(g)(2)
and (3). These declared values, which
serve as emission standards, collectively
represent the powertrain fuel map for
certification.
(3) For engines designed for plug-in
hybrid electric vehicles, the mass of fuel
for each cycle, mfuel[cycle], is the utility
factor-weighted fuel mass, mfuelUF[cycle].
This is determined by calculating mfuel
for the full charge-depleting and chargesustaining portions of the test and
weighting the results, using the
following equation:
Where:
i = an indexing variable that represents one
test interval.
N = total number of charge-depleting test
intervals.
mfuel[cycle]CDi = total mass of fuel in the
charge-depleting portion of the test for
each test interval, i, starting from i = 1,
including the test interval(s) from the
transition phase.
UFDCDi = utility factor fraction at distance
DCDi from Eq. 40 CFR 1037.505–9 as
determined by interpolating the
approved utility factor curve for each test
interval, i, starting from i = 1.
Let UFDCD0 = 0
j = an indexing variable that represents one
test interval.
M = total number of charge-sustaining test
intervals.
mfuel[cycle]CSj = total mass of fuel over the
charge-sustaining portion of the test for
each test interval, j, starting from j = 1.
UFRCD = utility factor fraction at the full
charge-depleting distance, RCD, as
determined by interpolating the
approved utility factor curve. RCD is the
cumulative distance driven over N
charge-depleting test intervals.
Where:
k = an indexing variable that represents one
recorded velocity value.
Q = total number of measurements over the
test interval.
v = vehicle velocity at each time step, k,
starting from k = 1. For tests completed
under this section, v is the vehicle
velocity as determined by Eq. 1036.545–
1. Note that this should include chargedepleting test intervals that start when
the engine is not yet operating.
Dt = 1/frecord
frecord = the record rate.
Example for the 55 mi/hr cruise cycle:
Q = 8790
v1 = 55.0 mi/hr
v2 = 55.0 mi/hr
v3 = 55.1 mi/hr
frecord = 10 Hz
Dt = 1/10 Hz = 0.1 s
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(o) Create GEM inputs. Use the results
of powertrain testing to determine GEM
inputs for the different simulated
vehicle configurations as follows:
(1) Correct the measured or calculated
fuel masses, mfuel[cycle], and mean idle
Ô
fuel mass flow rates, m
fuelidle, if
applicable, for each test result to a massspecific net energy content of a
reference fuel as described in
§ 1036.535(e), replacing mean fuel with
Ô
m
fuelidle with mfuel[cycle] where applicable
in Eq. 1036.535–4.
EP27AP23.058
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DCD2 = 13.4 mi
DCD3 = 13.4 mi
N=3
UFDCD1 = 0.05
UFDCD2 = 0.11
UFDCD3 = 0.21
mfuel55cruiseCD1 = 0 g
mfuel55cruiseCD2 = 0 g
mfuelUF55cruise = 4026.0 g
(i) For testing with torque
measurement at the axle input shaft:
(4) For the transient cycle specified in
40 CFR 1037.510(a)(2)(i), calculate
powertrain output speed per unit of
vehicle speed,
mfuel55cruiseCD3 = 1675.4 g
M=1
mfuel55cruiseCS = 4884.1 g
UFRCD = 0.21
(ii) For testing with torque
measurement at the wheel hubs, use Eq.
1036.545–8 setting ka equal to 1.
(iii) For testing with torque
measurement at the engine’s crankshaft:
Example:
using one of the following methods:
ka = 4.0
rB = 0.399 m
Where:
f¯nengine = average engine speed when vehicle
speed is at or above 0.100 m/s.
v¯ref = average simulated vehicle speed at or
above 0.100 m/s.
(5) Calculate engine idle speed, by
taking the average engine speed
measured during the transient cycle test
while the vehicle speed is below 0.100
m/s. (Note: Use all the charge-sustaining
test intervals when determining engine
idle speed for plug-in hybrid engines
and plug-in hybrid powertrains.)
(6) For the cruise cycles specified in
40 CFR 1037.510(a)(2)(ii), calculate the
average powertrain output speed,
f¯npowertrain, and the average powertrain
output torque (positive torque only),
T¯powertrain at vehicle speed at or above
0.100 m/s. (Note: Use all the chargesustaining and charge-depleting test
intervals when determining fnpowertrain
and T¯powertrain for plug-in hybrid engines
and plug-in hybrid powertrains.)
(7) Calculate positive work, W[cycle], as
the work over the duty cycle at the axle
input shaft, wheel hubs, or the engine’s
crankshaft, as applicable, when vehicle
speed is at or above 0.100 m/s. For plugin hybrid engines and plug-in hybrid
powertrains, calculate W[cycle] by
EP27AP23.065
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EP27AP23.062
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EP27AP23.060
calculating the positive work over each
of the charge-sustaining and chargedepleting test intervals and then
averaging them together. For test setups
where speed and torque are measured at
multiple locations, determine W[cycle] by
integrating the sum of the power
measured at each location.
(8) The following tables illustrate the
GEM data inputs corresponding to the
different vehicle configurations for a
given duty cycle:
(i) For the transient cycle:
EP27AP23.059
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EP27AP23.063
EP27AP23.064
Example:
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(ii) For the cruise cycles:
TABLE 6 TO PARAGRAPH (o)(8)(ii) OF § 1036.545—GENERIC EXAMPLE OF OUTPUT MATRIX FOR CRUISE CYCLE VEHICLE
CONFIGURATIONS
Configuration
Parameter
1
2
3
4
5
6
7
. . .
n
mfuel[cycle].
¯fpowertrain[cycle].
T¯powertrain[cycle].
W[cycle].
(2) Determine a declared UBE that is
at or below the corresponding value
determined in paragraph (p)(1) of this
section, including those from redundant
measurements. This declared UBE
serves as the initial UBE determined
under 40 CFR 1037.115(f).
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30. Amend § 1036.550 by revising
paragraphs (b)(1)(i), (b)(2) introductory
text, and (b)(2)(i) to read as follows:
■
§ 1036.550 Calculating greenhouse gas
emission rates.
*
*
*
*
*
(b) * * *
(1) * * *
(i) For liquid fuels, determine
Emfuelmeas according to ASTM D4809
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(incorporated by reference, see
§ 1036.810). Have the sample analyzed
by at least three different labs and
determine the final value of your test
fuel’s Emfuelmeas as the median of all the
lab test results you obtained as
described in 40 CFR 1065.602(m). If you
have results from three different labs,
we recommend you screen them to
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EP27AP23.068
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EDCD = 6540232.7 W·s = 1816.7 W·hr
Where:
i = an indexing variable that represents one
individual measurement.
N = total number of measurements.
V = battery DC bus voltage.
I = battery current.
Dt = 1/frecord
frecord = the data recording frequency.
Example:
N = 13360
V1 = 454.0
V2 = 454.0
I1 = 0
I2 = 0
frecord = 20 Hz
Dt = 1/20 = 0.05 s
EP27AP23.067
(1) Measure DC discharge energy,
EDCD, in watt-hours and DC discharge
current per hour, CD, for the chargedepleting portion of the test sequence.
The measurement points must capture
all the current flowing into and out of
the battery pack during powertrain
operation, including current associated
with regenerative braking. The equation
for calculating powertrain EDCD is given
in Eq. 1036.545–12, however, it is
expected that this calculation will
typically be performed internally by the
power analyzer specified in paragraph
(a)(10)(i) of this section. Battery voltage
measurements made by the powertrain’s
own on-board sensors (such as those
available via a diagnostic port) may be
used for calculating EDCD if these
measurements are equivalent to those
produced by the power analyzer.
EP27AP23.066
(p) Determining useable battery
energy. Useable battery energy (UBE) is
defined as the total DC discharge
energy, EDCDtotal, measured in DC Watt
hours, over the charge-depleting portion
of the test sequence determined in
paragraph (p)(2) of this section for the
Heavy-duty Transient Test Cycle in 40
CFR part 1037, appendix A. Select a
representative vehicle configuration
from paragraph (h) of this section for
determination of UBE. UBE represents
the total deliverable energy the battery
is capable of providing while a
powertrain is following a duty cycle on
a dynamometer.
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
determine if additional observations are
needed. To perform this screening,
determine the absolute value of the
difference between each lab result and
the average of the other two lab results.
If the largest of these three resulting
absolute value differences is greater
than 0.297 MJ/kg, we recommend you
obtain additional results prior to
determining the final value of Emfuelmeas.
*
*
*
*
*
(2) Determine your test fuel’s carbon
mass fraction, wC, as described in 40
CFR 1065.655(d), expressed to at least
three decimal places; however, you
must measure fuel properties for a and
b rather than using the default values
specified in 40 CFR 1065.655(e).
(i) For liquid fuels, have the sample
analyzed by at least three different labs
and determine the final value of your
test fuel’s wC as the median of all of the
lab results you obtained as described in
40 CFR 1065.602(m). If you have results
from three different labs, we
recommend you screen them to
determine if additional observations are
needed. To perform this screening,
determine the absolute value of the
difference between each lab result and
the average of the other two lab results.
If the largest of these three resulting
absolute value differences is greater
than 1.56 percent carbon, we
recommend you obtain additional
results prior to determining the final
value of wC.
*
*
*
*
*
■ 31. Amend § 1036.605 by revising
paragraph (e) to read as follows:
§ 1036.605 Alternate emission standards
for engines used in specialty vehicles.
*
*
*
*
*
(e) In a separate application for a
certificate of conformity, identify the
corresponding nonroad engine family,
describe the label required under
section, state that you meet applicable
diagnostic requirements under 40 CFR
part 1039 or part 1048, and identify
your projected U.S.-directed production
volume.
*
*
*
*
*
■ 32. Amend § 1036.615 by revising
paragraph (a) to read as follows:
§ 1036.615 Engines with Rankine cycle
waste heat recovery and hybrid
powertrains.
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*
*
*
*
*
(a) Pre-transmission hybrid
powertrains. Test pre-transmission
hybrid powertrains with the hybrid
engine procedures of 40 CFR part 1065
or with the post-transmission
procedures in § 1036.545. Pretransmission hybrid powertrains are
those engine systems that include
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features to recover and store energy
during engine motoring operation but
not from the vehicle’s wheels. Engines
certified with pre-transmission hybrid
powertrains must be certified to meet
the diagnostic requirements as specified
in § 1036.110 with respect to powertrain
components and systems; if different
manufacturers produce the engine and
the hybrid powertrain, the hybrid
powertrain manufacturer may separately
certify its powertrain relative to
diagnostic requirements.
*
*
*
*
*
■ 33. Amend § 1036.630 by revising
paragraph (b) to read as follows:
§ 1036.630 Certification of engine
greenhouse gas emissions for powertrain
testing.
*
*
*
*
*
(b) If you choose to certify only fuel
map emissions for an engine family and
to not certify emissions over powertrain
cycles under § 1036.545, we will not
presume you are responsible for
emissions over the powertrain cycles.
However, where we determine that you
are responsible in whole or in part for
the emission exceedance in such cases,
we may require that you participate in
any recall of the affected vehicles. Note
that this provision to limit your
responsibility does not apply if you also
hold the certificate of conformity for the
vehicle.
*
*
*
*
*
■ 34. Amend § 1036.705 by revising
paragraph (c) introductory text,
redesignating paragraph (c)(4) as
paragraph (c)(5), and adding a new
paragraph (c)(4) to read as follows:
§ 1036.705 Generating and calculating
emission credits.
*
*
*
*
*
(c) Compliance with the requirements
of this subpart is determined at the end
of the model year by calculating
emission credits based on actual
production volumes, excluding the
following engines:
*
*
*
*
*
(4) Engines certified to state emission
standards that are different than the
emission standards in this part.
*
*
*
*
*
■ 35. Amend § 1036.725 by revising
paragraph (b)(2) to read as follows:
§ 1036.725 Required information for
certification.
*
*
*
*
*
(b) * * *
(2) Calculations of projected emission
credits (positive or negative) based on
projected production volumes as
described in § 1036.705(c). We may
require you to include similar
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calculations from your other engine
families to project your net credit
balances for the model year. If you
project negative emission credits for a
family, state the source of positive
emission credits you expect to use to
offset the negative emission credits.
■ 36. Amend § 1036.730 by revising
paragraphs (b)(4) and (f)(1) to read as
follows:
§ 1036.730
ABT reports.
*
*
*
*
*
(b) * * *
(4) The projected and actual
production volumes for calculating
emission credits for the model year. If
you changed an FEL/FCL during the
model year, identify the actual
production volume associated with each
FEL/FCL.
*
*
*
*
*
(f) * * *
(1) If you notify us by the deadline for
submitting the final report that errors
mistakenly decreased your balance of
emission credits, you may correct the
errors and recalculate the balance of
emission credits. If you notify us that
errors mistakenly decreased your
balance of emission credits after the
deadline for submitting the final report,
you may correct the errors and
recalculate the balance of emission
credits after applying a 10 percent
discount to the credit correction, but
only if you notify us within 24 months
after the deadline for submitting the
final report. If you report a negative
balance of emission credits, we may
disallow corrections under this
paragraph (f)(1).
*
*
*
*
*
■ 37. Amend § 1036.735 by revising
paragraph (d) to read as follows:
§ 1036.735
Recordkeeping.
*
*
*
*
*
(d) Keep appropriate records to
document production volumes of
engines that generate or use emission
credits under the ABT program. For
example, keep available records of the
engine identification number (usually
the serial number) for each engine you
produce that generates or uses emission
credits. You may identify these numbers
as a range. If you change the FEL/FCL
after the start of production, identify the
date you started using each FEL/FCL
and the range of engine identification
numbers associated with each FEL/FCL.
You must also identify the purchaser
and destination for each engine you
produce to the extent this information is
available.
*
*
*
*
*
■ 38. Amend § 1036.801 by:
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
a. Adding a definition of ‘‘Carboncontaining fuel’’ in alphabetical order.
■ b. Removing the definitions of
‘‘Criteria pollutants’’ and ‘‘Greenhouse
gas’’.
■ c. Revising the definition of ‘‘Hybrid’’.
■ d. Removing the definitions of
‘‘Hybrid engine’’ and ‘‘Hybrid
powertrain’’.
■ e. Revising the definition of ‘‘Mild
hybrid’’.
■ f. Adding a definition of ‘‘Neat’’ in
alphabetical order.
■ g. Revising the definitions of ‘‘Small
manufacturer’’ and ‘‘U.S.-directed
production volume’’.
The additions and revisions read as
follows:
■
§ 1036.801
Definitions.
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*
*
*
*
*
Carbon-containing fuel has the
meaning given in 40 CFR 1065.1001.
*
*
*
*
*
Hybrid means relating to an engine or
powertrain that includes a Rechargeable
Energy Storage System. Hybrid engines
store and recover energy in a way that
is integral to the engine or otherwise
upstream of the vehicle’s transmission.
Examples of hybrid engines include
engines with hybrid components
connected to the front end of the engine
(P0), at the crankshaft before the clutch
(P1), or connected between the clutch
and the transmission where the clutch
upstream of the hybrid feature is in
addition to the transmission clutch(s)
(P2). Engine-based systems that recover
kinetic energy to power an electric
heater in the aftertreatment are
themselves not sufficient to qualify as a
hybrid engine. Provisions that apply for
hybrid powertrains apply equally for
hybrid engines, except as specified.
Note that certain provisions in this part
treat hybrid powertrains intended for
vehicles that include regenerative
braking different than those intended for
vehicles that do not include
regenerative braking. The definition of
hybrid includes plug-in hybrid electric
powertrains.
*
*
*
*
*
Mild hybrid means relating to a hybrid
engine or hybrid powertrain with
regenerative braking capability where
the system recovers less than 20 percent
of the total braking energy over the
transient cycle defined in appendix A of
40 CFR part 1037.
*
*
*
*
*
Neat has the meaning given in
§ 1065.1001.
*
*
*
*
*
Small manufacturer means a
manufacturer meeting the criteria
specified in 13 CFR 121.201. The
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employee and revenue limits apply to
the total number of employees and total
revenue together for all affiliated
companies (as defined in 40 CFR
1068.30). Note that manufacturers with
low production volumes may or may
not be ‘‘small manufacturers’’.
*
*
*
*
*
U.S.-directed production volume
means the number of engines, subject to
the requirements of this part, produced
by a manufacturer for which the
manufacturer has a reasonable
assurance that sale was or will be made
to ultimate purchasers in the United
States. Note that this includes engines
certified to state emission standards that
are different than the emission
standards in this part.
*
*
*
*
*
■ 39. Amend § 1036.805 by adding an
entry for ‘‘GCWR’’ to Table 5 in
alphabetical order to read as follows:
§ 1036.805 Symbols, abbreviations, and
acronyms.
*
*
*
(e) * * *
*
*
TABLE 5 TO PARAGRAPH (e) OF
§ 1036.805—OTHER
ACRONYMS
AND ABBREVIATIONS
Acronym
*
*
GCWR ...........
*
*
*
*
gross combined weight rating.
*
*
*
*
*
*
*
*
40. Amend § 1036.810 by adding
paragraph (e) to read as follows:
■
§ 1036.810
Incorporation by reference.
*
*
*
*
*
(e) U.S. EPA, Office of Air and
Radiation, 2565 Plymouth Road, Ann
Arbor, MI 48105; www.epa.gov;
complianceinfo@epa.gov.
(1) Greenhouse gas Emissions Model
(GEM) Phase 2, Version 4.0, April 2022
(‘‘GEM Phase 2, Version 4.0’’); IBR
approved for § 1036.545(a).
(2) [Reserved]
■ 41. Amend § 1036.815 by revising
paragraph (b) to read as follows:
§ 1036.815
Confidential information.
*
*
*
*
*
(b) Emission data or information that
is publicly available cannot be treated as
confidential business information as
described in 40 CFR 1068.11. Data that
vehicle manufacturers need for
demonstrating compliance with
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greenhouse gas emission standards,
including fuel-consumption data as
described in §§ 1036.535 and 1036.545,
also qualify as emission data for
purposes of confidentiality
determinations.
PART 1037—CONTROL OF EMISSIONS
FROM NEW HEAVY-DUTY MOTOR
VEHICLES
42. The authority citation for part
1037 continues to read as follows:
■
Authority: 42 U.S.C. 7401–7671q.
43. Amend § 1037.1 by revising
paragraph (a) to read as follows:
■
§ 1037.1
Applicability.
(a) The regulations in this part 1037
apply for all new heavy-duty vehicles,
except as provided in § 1037.5. This
includes battery electric vehicles, fuel
cell electric vehicles, and vehicles
fueled by conventional and alternative
fuels.
*
*
*
*
*
■ 44. Amend § 1037.5 by:
■ a. Revising paragraph (e).
■ b. Removing paragraphs (g) and (h).
■ c. Redesignating paragraph (i) as
paragraph (g).
The revision reads as follows:
§ 1037.5
Excluded vehicles.
*
Meaning
*
26121
*
*
*
*
(e) Vehicles subject to the heavy-duty
emission standards of 40 CFR part 86.
See 40 CFR part 86, subpart S, for
emission standards that apply for these
vehicles.
*
*
*
*
*
■ 45. Amend § 1037.101 by revising
paragraphs (a)(2) and (b)(2) and (3) to
read as follows:
§ 1037.101 Overview of emission
standards.
*
*
*
*
*
(a) * * *
(2) Exhaust emissions of greenhouse
gases. Emission standards apply as
follows for greenhouse gas emissions:
(i) CO2 emission standards apply as
described in §§ 1037.105 and 1037.106.
No CH4 or N2O standards apply under
this part. See 40 CFR part 1036 for CH4
or N2O standards that apply to engines
used in these vehicles.
(ii) Hydrofluorocarbon standards
apply as described in § 1037.115(e).
These pollutants are also ‘‘greenhouse
gas pollutants’’ but are treated
separately from exhaust greenhouse gas
pollutants listed in paragraph (a)(2)(i) of
this section.
*
*
*
*
*
(b) * * *
(2) For greenhouse gas pollutants,
vehicles are regulated in the following
groups:
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(i) Tractors above 26,000 pounds
GVWR.
(ii) Vocational vehicles.
(3) The greenhouse gas emission
standards apply differently depending
on the vehicle service class as described
in § 1037.140. In addition, standards
apply differently for vehicles with
spark-ignition and compression-ignition
engines. References in this part 1037 to
‘‘spark-ignition’’ or ‘‘compressionignition’’ generally relate to the
application of standards under 40 CFR
1036.140. For example, a vehicle with
an engine certified to spark-ignition
standards under 40 CFR part 1036 is
generally subject to requirements under
this part 1037 that apply for sparkignition vehicles. However, note that
emission standards for Heavy HDE are
considered to be compression-ignition
standards for purposes of applying
vehicle emission standards under this
part. Also, for spark-ignition engines
voluntarily certified as compressionignition engines under 40 CFR part
1036, you must choose at certification
whether your vehicles are subject to
spark-ignition standards or
compression-ignition standards. Heavyduty vehicles with no installed
propulsion engine, such as battery
electric vehicles, are subject to
compression-ignition emission
standards for the purpose of calculating
emission credits.
*
*
*
*
*
■ 46. Amend § 1037.102 by revising the
section heading and paragraph (b)
introductory text to read as follows:
§ 1037.102 Criteria exhaust emission
standards—NOX, HC, PM, and CO.
*
*
*
*
*
(b) Heavy-duty vehicles with no
installed propulsion engine, such as
battery electric vehicles, are subject to
criteria pollutant standards under this
part. The emission standards that apply
are the same as the standards that apply
for compression-ignition engines under
40 CFR 86.007–11 and 1036.104 for a
given model year.
*
*
*
*
*
■ 47. Amend § 1037.105 by:
a. Revising paragraphs (a)(1) and (2)
and (b)(1) and (4)
■ b. Removing and reserving paragraph
(c).
■ c. Revising paragraph (h)(1).
The revisions read as follows:
■
§ 1037.105 CO2 emission standards for
vocational vehicles.
(a) * * *
(1) Heavy-duty vehicles at or below
14,000 pounds GVWR that are not
subject to the greenhouse gas standards
in 40 CFR part 86, subpart S, or that use
engines certified under § 1037.150(m).
(2) Vehicles above 14,000 pounds
GVWR and at or below 26,000 pounds
GVWR, but not certified to the vehicle
greenhouse gas standards in 40 CFR part
86, subpart S.
*
*
*
*
*
(b) * * *
(1) Model year 2027 and later vehicles
are subject to CO2 standards
corresponding to the selected
subcategories as shown in the following
table:
TABLE 1 OF PARAGRAPH (b)(1) OF § 1037.105—PHASE 3 CO2 STANDARDS FOR MODEL YEAR 2027 AND LATER
VOCATIONAL VEHICLES
[g/ton-mile]
Compression-ignition engine
Model year
Light HDV
2027 ....................................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
Urban ..................................
Multi-Purpose .....................
Regional .............................
2028 ....................................
2029 ....................................
2030 ....................................
2031 ....................................
2032 and later .....................
*
*
*
*
*
(4) Model year 2014 through 2020
vehicles are subject to Phase 1 CO2
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Spark-ignition engine
Subcategory
Medium HDV
294
257
218
275
238
199
255
218
179
238
201
162
219
182
143
179
142
103
Heavy HDV
213
190
173
209
186
169
202
179
162
195
172
155
188
165
148
176
153
136
232
193
152
228
189
148
225
186
145
200
161
120
193
154
113
177
138
97
Light HDV
Medium HDV
340
299
246
321
280
227
301
260
207
284
243
190
265
224
171
225
184
131
252
223
202
248
219
198
241
212
191
234
205
184
227
198
177
215
186
165
standards as shown in the following
table:
TABLE 4 OF PARAGRAPH (b)(4) § 1037.105—PHASE 1 CO2 STANDARDS FOR MODEL YEAR 2014 THROUGH 2020
VOCATIONAL VEHICLES
[g/ton-mile]
Vehicle size
CO2 standard for model years 2014–2016
Light HDV ........
Medium HDV ...
Heavy HDV ......
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CO2 standard for model year 2017–2020
388
234
226
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373
225
222
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*
*
*
(h) * * *
*
*
(1) The following alternative emission
standards apply by vehicle type and
model year as follows:
TABLE 5 OF PARAGRAPH (h)(1) OF § 1037.105—OPTIONAL PHASE 3 CO2 STANDARDS FOR MODEL YEAR 2027 AND
LATER CUSTOM CHASSIS VOCATIONAL VEHICLES
[g/ton-mile]
Model year
2027
Optional custom chassis vehicle type
School Bus ...............................................
Other Bus .................................................
Coach Bus ...............................................
Refuse Hauler ..........................................
Concrete Mixer .........................................
Motor home ..............................................
Mixed-use vehicle ....................................
Emergency vehicle ...................................
Model year
2028
190
286
205
253
259
226
316
319
Model year
2029
182
269
205
241
250
226
316
319
Model year
2030
176
255
205
232
240
226
316
319
168
237
185
221
231
226
316
319
Model year
2031
Model year
2032 and later
163
220
164
212
224
226
316
319
149
189
154
191
205
226
316
319
TABLE 6 OF PARAGRAPH (h)(1) OF § 1037.105—PHASE 2 CUSTOM CHASSIS STANDARDS FOR MODEL YEARS 2021
THROUGH 2026
[g/ton-mile]
Model year
2021–2026
Vehicle type a
Assigned vehicle service class
School bus ..................................................................................
Motor home ................................................................................
Coach bus ..................................................................................
Other bus ....................................................................................
Refuse hauler .............................................................................
Concrete mixer ...........................................................................
Mixed-use vehicle .......................................................................
Emergency vehicle .....................................................................
Medium HDV ..............................................................................
Medium HDV ..............................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
291
228
210
300
313
319
319
324
a Vehicle types are generally defined in § 1037.801. ‘‘Other bus’’ includes any bus that is not a school bus or a coach bus. A ‘‘mixed-use vehicle’’ is one that meets at least one of the criteria specified in § 1037.631(a)(1) or (2).
*
*
*
*
*
48. Amend § 1037.106 by revising the
section heading and paragraph (b),
removing and reserving paragraph (c),
and revising paragraphs (f)(2)
introductory text and (f)(2)(i) to read as
follows:
■
§ 1037.106 CO2 emission standards for
tractors above 26,000 pounds GVWR.
*
*
*
*
*
(b) CO2 standards in this paragraph (b)
apply based on modeling and testing as
described in subpart F of this part. The
provisions of § 1037.241 specify how to
comply with these standards.
(1) Model year 2027 and later tractors
are subject to CO2 standards
corresponding to the selected
subcategories as shown in the following
tables:
TABLE 1 OF PARAGRAPH (b)(1) OF § 1037.106—CO2 EMISSION STANDARDS FOR MODEL YEAR 2027 AND LATER
TRACTORS
[g/ton-mile]
Model year
Roof height
2027 .....................................................................................
Low ................
Mid .................
High ...............
Low ................
Mid .................
High ...............
Low ................
Mid .................
High ...............
Low ................
Mid .................
High ...............
Low ................
Mid .................
High ...............
Low ................
Mid .................
2028 .....................................................................................
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2029 .....................................................................................
2030 .....................................................................................
2031 .....................................................................................
2032 and later .....................................................................
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Class 7 all cab
styles
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Class 8
day cab
86.6
93.1
90.0
84.7
91.0
88.0
81.8
87.9
85.0
77.0
82.7
80.0
67.3
72.4
70.0
63.5
68.2
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66.1
70.2
68.1
64.6
68.6
66.6
62.4
66.3
64.3
58.7
62.4
60.6
51.4
54.6
53.0
48.4
51.5
27APP2
Class 8
sleeper cab
64.1
69.6
64.3
64.1
69.6
64.3
64.1
69.6
64.3
57.7
62.6
57.9
51.3
55.7
51.4
48.1
52.2
Heavy-haul
48.3
48.3
48.3
43.0
42.5
41.1
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TABLE 1 OF PARAGRAPH (b)(1) OF § 1037.106—CO2 EMISSION STANDARDS FOR MODEL YEAR 2027 AND LATER
TRACTORS—Continued
[g/ton-mile]
Model year
Roof height
Class 7 all cab
styles
High ...............
(2) Model year 2026 and earlier
tractors are subject to CO2 standards
corresponding to the selected
Class 8
day cab
66.0
50.0
Class 8
sleeper cab
Heavy-haul
48.2
subcategory as shown in the following
table:
TABLE 2 OF PARAGRAPH (b)(2) OF § 1037.106—CO2 STANDARDS FOR MODEL YEAR 2026 AND EARLIER TRACTORS
[g/ton-mile]
Subcategory a
Phase 1
standards for
model years
2014–2016
Phase 1
standards for
model years
2017–2020
Class 7 Low-Roof (all cab styles) ....................................................................
Class 7 Mid-Roof (all cab styles) .....................................................................
Class 7 High-Roof (all cab styles) ...................................................................
Class 8 Low-Roof Day Cab .............................................................................
Class 8 Low-Roof Sleeper Cab .......................................................................
Class 8 Mid-Roof Day Cab ..............................................................................
Class 8 Mid-Roof Sleeper Cab ........................................................................
Class 8 High-Roof Day Cab ............................................................................
Class 8 High-Roof Sleeper Cab ......................................................................
Heavy-Haul Tractors ........................................................................................
107
119
124
81
68
88
76
92
75
........................
104
115
120
80
66
86
73
89
72
........................
*
*
*
*
*
(f) * * *
(2) You may optionally certify Class 7
tractors not covered by paragraph (f)(1)
of this section to the standards and
useful life for Class 8 tractors. This
paragraph (f)(2) applies equally for
hybrid vehicles, battery electric
vehicles, and fuel cell electric vehicles.
Credit provisions apply as follows:
(i) If you certify all your Class 7
tractors to Class 8 standards, you may
use these Heavy HDV credits without
restriction.
*
*
*
*
*
§ 1037.107
[Removed]
49. Remove § 1037.107.
50. Amend § 1037.115 by revising
paragraphs (a) and (e)(1) and adding
paragraph (f) to read as follows:
■
■
§ 1037.115
Other requirements.
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*
*
*
*
*
(a) Adjustable parameters. Vehicles
that have adjustable parameters must
meet all the requirements of this part for
any adjustment in the practically
adjustable range. We may require that
you set adjustable parameters to any
specification within the practically
adjustable range during any testing. See
40 CFR 1068.50 for general provisions
related to adjustable parameters. You
must ensure safe vehicle operation
throughout the practically adjustable
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range of each adjustable parameter,
including consideration of production
tolerances. Note that adjustable roof
fairings are deemed not to be adjustable
parameters.
*
*
*
*
*
(e) * * *
(1) This paragraph (e) is intended to
address air conditioning systems for
which the primary purpose is to cool
the driver compartment. This would
generally include all cab-complete
pickups and vans. Similarly, it does not
apply for self-contained air conditioning
used to cool passengers or refrigeration
units used to cool cargo on vocational
vehicles. For purposes of this paragraph
(e), a self-contained system is an
enclosed unit with its own evaporator
and condenser even if it draws power
from the engine.
*
*
*
*
*
(f) Battery durability monitor. Battery
electric vehicles and plug-in hybrid
electric vehicles must meet monitoring
requirements related to batteries serving
as a Rechargeable Energy Storage
System from GTR No. 22 (incorporated
by reference, see § 1037.810). The
requirements of this section apply
starting in model year 2030. The
following clarifications and adjustments
to GTR No. 22 apply for vehicles subject
to this section:
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Phase 2
standards for
model years
2021–2023
Phase 2
standards for
model years
2024–2026
105.5
113.2
113.5
80.5
72.3
85.4
78.0
85.6
75.7
52.4
99.8
107.1
106.6
76.2
68.0
80.9
73.5
80.4
70.7
50.2
(1) Install a customer-accessible
display that monitors, estimates, and
communicates the vehicle’s State of
Certified Energy (SOCE) include
information in the application for
certification as described in § 1037.205.
Monitoring requirements related to State
of Certified Range (SOCR) do not apply.
(2) Accuracy requirements for SOCE
in GTR No. 22 do not apply. Minimum
Performance Requirements for battery
durability also do not apply.
(3) For battery electric vehicles, use
good engineering judgment to develop a
test procedure for determining useable
battery energy (UBE).
(4) For plug-hybrid electric vehicles,
determine UBE as described in 40 CFR
1036.545.
■ 51. Amend § 1037.120 by:
■ a. Revising paragraph (b)(1)(iii).
■ b. Removing paragraph (b)(1)(iv).
■ c. Revising paragraph (c).
The revisions read as follows:
§ 1037.120 Emission-related warranty
requirements.
*
*
*
*
*
(b) * * *
(1) * * *
(iii) 2 years or 24,000 miles for tires.
*
*
*
*
*
(c) Components covered. The
emission-related warranty covers tires,
automatic tire inflation systems, tire
pressure monitoring systems, vehicle
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speed limiters, idle-reduction systems,
devices added to the vehicle to improve
aerodynamic performance (not
including standard components such as
hoods or mirrors even if they have been
optimized for aerodynamics), fuel cell
stacks, and RESS and other components
used with hybrid systems, battery
electric vehicles, and fuel cell electric
vehicles to the extent such emissionrelated components are included in
your application for certification. The
emission-related warranty also covers
other added emission-related
components to the extent they are
included in your application for
certification, and any other components
whose failure would increase a vehicle’s
CO2 emissions. The emission-related
warranty covers all components whose
failure would increase a vehicle’s
emissions of air conditioning
refrigerants (for vehicles subject to air
conditioning leakage standards), and it
covers all components whose failure
would increase a vehicle’s evaporative
and refueling emissions (for vehicles
subject to evaporative and refueling
emission standards). The emissionrelated warranty covers components
that are part of your certified
configuration even if another company
produces the component.
*
*
*
*
*
■ 52. Amend § 1037.130 by revising
paragraph (a) to read as follows:
§ 1037.130 Assembly instructions for
secondary vehicle manufacturers.
(a) If you sell a certified incomplete
vehicle to a secondary vehicle
manufacturer, give the secondary
vehicle manufacturer instructions for
completing vehicle assembly consistent
with the requirements of this part.
Include all information necessary to
ensure that the final vehicle assembly
(including the engine) will be in its
certified configuration.
*
*
*
*
*
■ 53. Amend § 1037.140 by revising
paragraph (g)(5) introductory text to
read as follows:
§ 1037.140 Classifying vehicles and
determining vehicle parameters.
*
*
*
*
*
(g) * * *
(5) Heavy-duty vehicles with no
installed propulsion engine, such as
battery electric vehicles, are divided as
follows:
*
*
*
*
*
■ 54. Amend § 1037.150 by:
■ a. Revising paragraphs (c), (f) and (p);
■ b. Removing paragraphs (u) through
(x);
■ c. Redesignating paragraphs (y)
through (bb) as paragraphs (u) through
(x);
■ d. Revising newly redesignated
paragraph (x); and
■ e. Adding a new paragraph (y).
The revisions and addition read as
follows:
§ 1037.150
Interim provisions.
*
*
*
*
*
(c) Small manufacturers. The
following provisions apply for small
manufacturers:
(1) The following provisions apply
through model year 2026:
(i) The greenhouse gas standards of
§§ 1037.105 and 1037.106 are optional
for small manufacturers producing
vehicles with a date of manufacture
before January 1, 2022. In addition,
small manufacturers producing vehicles
that run on any fuel other than gasoline,
E85, or diesel fuel may delay complying
with every later standard under this part
by one model year.
(ii) Qualifying manufacturers must
notify the Designated Compliance
Officer each model year before
introducing excluded vehicles into U.S.
commerce. This notification must
include a description of the
manufacturer’s qualification as a small
business under 13 CFR 121.201.
Manufacturers must label excluded
vehicles with the following statement:
‘‘THIS VEHICLE IS EXCLUDED UNDER
40 CFR 1037.150(c).’’
(iii) Small manufacturers may meet
Phase 1 standards instead of Phase 2
standards in the first year Phase 2
standards apply to them if they
voluntarily comply with the Phase 1
standards for the full preceding year.
Specifically, small manufacturers may
certify their model year 2022 vehicles to
the Phase 1 greenhouse gas standards of
§§ 1037.105 and 1037.106 if they certify
all the vehicles from their annual
production volume included in
emission credit calculations for the
Phase 1 standards starting on or before
January 1, 2021.
(2) The following provisions apply for
model year 2027 and later for qualifying
small manufacturers:
(i) The following standards apply for
vocational vehicles instead of the
standards specified in § 1037.105:
TABLE 1 OF PARAGRAPH (c)(2)(i) OF § 1037.150—SMALL MANUFACTURER CO2 STANDARDS VOCATIONAL VEHICLES
[g/ton-mile]
Engine cycle
Vehicle size
Multi-purpose
Compression-ignition ......................................
Compression-ignition ......................................
Compression-ignition ......................................
Spark-ignition ..................................................
Spark-ignition ..................................................
Light HDV .......................................................
Medium HDV ..................................................
Heavy HDV ....................................................
Light HDV .......................................................
Medium HDV ..................................................
330
235
230
372
268
Regional
Urban
291
218
189
319
247
367
258
269
413
297
TABLE 2 OF PARAGRAPH (c)(2)(i) OF § 1037.150—SMALL MANUFACTURER CO2 STANDARDS FOR CUSTOM CHASSIS
VOCATIONAL VEHICLES
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[g/ton-mile]
Vehicle type a
Assigned vehicle service class
School bus ..................................................................................
Motor home ................................................................................
Coach bus ..................................................................................
Other bus ....................................................................................
Refuse hauler .............................................................................
Concrete mixer ...........................................................................
Mixed-use vehicle .......................................................................
Medium HDV ..............................................................................
Medium HDV ..............................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
Heavy HDV .................................................................................
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27APP2
MY 2027 and
later
271
226
205
286
298
316
316
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TABLE 2 OF PARAGRAPH (c)(2)(i) OF § 1037.150—SMALL MANUFACTURER CO2 STANDARDS FOR CUSTOM CHASSIS
VOCATIONAL VEHICLES—Continued
[g/ton-mile]
Vehicle type a
Assigned vehicle service class
Emergency vehicle .....................................................................
Heavy HDV .................................................................................
MY 2027 and
later
319
a Vehicle
types are generally defined in § 1037.801. ‘‘Other bus’’ includes any bus that is not a school bus or a coach bus. A ‘‘mixed-use vehicle’’ is one that meets at least one of the criteria specified in § 1037.631(a)(1) or (2).
(ii) The following standards apply for
tractors instead of the standards
specified in § 1037.106:
TABLE 3 OF PARAGRAPH (c)(2)(ii) OF § 1037.150—SMALL MANUFACTURER CO2 STANDARDS FOR CLASS 7 AND CLASS 8
TRACTORS BY SUBCATEGORY
[g/ton-mile]
Phase 2
standards for
model year
2027 and later
Subcategorya
Class 7 Low-Roof (all cab styles) ........................................................................................................................................................
Class 7 Mid-Roof (all cab styles) ........................................................................................................................................................
Class 7 High-Roof (all cab styles) .......................................................................................................................................................
Class 8 Low-Roof Day Cab .................................................................................................................................................................
Class 8 Low-Roof Sleeper Cab ...........................................................................................................................................................
Class 8 Mid-Roof Day Cab ..................................................................................................................................................................
Class 8 Mid-Roof Sleeper Cab ............................................................................................................................................................
Class 8 High-Roof Day Cab ................................................................................................................................................................
Class 8 High-Roof Sleeper Cab ..........................................................................................................................................................
Heavy-Haul Tractors ............................................................................................................................................................................
lotter on DSK11XQN23PROD with PROPOSALS2
a Subcategory
terms are defined in § 1037.801.
(iii) Small manufacturers producing
vehicles that run on any fuel other than
gasoline, E85, or diesel fuel may delay
complying with the model year 2027
standards under this paragraph (c) by
one model year.
(iv) Label qualifying vehicles with the
following statement: ‘‘THIS VEHICLE
MEETS PHASE 2 STANDARDS AS
ALLOWED UNDER 40 CFR
1037.150(c).’’
(v) Small manufacturers may bank
emission credits only by certifying all
their vehicle families within a given
averaging set to the Phase 3 standards
that apply for the current model year.
(vi) The battery durability monitor
requirements of § 1037.115(f) apply for
vehicles subject to standards under this
paragraph (c).
(3) See paragraphs (r), (t), (u), and (w)
of this section for additional allowances
for small manufacturers.
*
*
*
*
*
(f) Testing exemption for qualifying
vehicles. Tailpipe CO2 emissions from
battery electric vehicles, fuel cell
electric vehicles, and vehicles with
engines fueled with neat hydrogen are
deemed to be zero. No CO2-related
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73.4
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78.0
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64.3
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testing is required under this part for
these vehicles.
*
*
*
*
*
(p) Credit multiplier for advanced
technology. You may calculate credits
you generate from vehicles certified
with advanced technology as follows:
(1) For Phase 1 vehicles, multiply the
credits by 1.50, except that you may not
apply this multiplier in addition to the
early-credit multiplier of paragraph (a)
of this section.
(2) For model year 2026 and earlier,
apply multipliers of 3.5 for plug-in
hybrid electric vehicles, 4.5 for battery
electric vehicles, and 5.5 for fuel cell
electric vehicles; calculate credits
relative to the Phase 2 standard. In
model year 2027, the advanced
technology multiplier applies only for
fuel cell electric vehicles, with credits
multiplied relative to the Phase 3
standard.
*
*
*
*
*
(x) Transition to updated GEM. (1)
Vehicle manufacturers may demonstrate
compliance with Phase 2 greenhouse
gas standards in model years 2021
through 2023 using GEM Phase 2,
Version 3.0, Version 3.5.1, or Version
4.0 (all incorporated by reference, see
§ 1037.810). Manufacturers may change
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to a different version of GEM for model
years 2022 and 2023 for a given vehicle
family after initially submitting an
application for certification; such a
change must be documented as an
amendment under § 1037.225.
Manufacturers may submit an end-ofyear report for model year 2021 using
any of the three regulatory versions of
GEM, but only for demonstrating
compliance with the custom-chassis
standards in § 1037.105(h); such a
change must be documented in the
report submitted under § 1037.730.
Once a manufacturer certifies a vehicle
family based on GEM Version 4.0, it
may not revert back to using GEM Phase
2, Version 3.0 or Version 3.5.1 for that
vehicle family in any model year.
(2) Vehicle manufacturers may certify
for model years 2021 through 2023
based on fuel maps from engines or
powertrains that were created using
GEM Phase 2, Version 3.0, Version
3.5.1, or Version 4.0 (all incorporated by
reference, see § 1037.810). Vehicle
manufacturers may alternatively certify
in those years based on fuel maps from
powertrains that were created using
GEM Phase 2, Version 3.0, GEM HIL
model 3.8, or GEM Phase 2, Version 4.0
(all incorporated by reference, see
E:\FR\FM\27APP2.SGM
27APP2
§ 1037.810). Vehicle manufacturers may
continue to certify vehicles in later
model years using fuel maps generated
with earlier versions of GEM for model
year 2024 and later vehicle families that
qualify for using carryover provisions in
§ 1037.235(d).
(y) Correcting credit calculations. If
you notify us by October 1, 2024 that
errors mistakenly decreased your
balance of emission credits for 2020 or
any earlier model years, you may correct
the errors and recalculate the balance of
emission credits after applying a 10
percent discount to the credit
correction.
■ 55. Amend § 1037.205 by revising the
introductory text, paragraphs (b)
introductory text, (b)(6), (e), (o), and (q)
to read as follows:
(o) Report calculated and modeled
emission results as for ten
configurations. Include modeling inputs
and detailed descriptions of how they
were derived. Unless we specify
otherwise, include the configuration
with the highest modeling result, the
lowest modeling result, and the
configurations with the highest
projected sales.
*
*
*
*
*
(q) For battery electric vehicles and
plug-in hybrid electric vehicles,
describe the recharging procedures and
methods for determining battery
performance, such as state of charge and
charging capacity. Also include the
certified usable battery energy for each
battery durability subfamily.
*
*
*
*
*
§ 1037.205 What must I include in my
application?
§ 1037.230
This section specifies the information
that must be in your application, unless
we ask you to include less information
under § 1037.201(c). We may require
you to provide additional information to
evaluate your application. References to
testing and emission-data vehicles refer
to testing vehicles or components to
measure any quantity that serves as an
input value for modeling emission rates
under § 1037.520.
*
*
*
*
*
(b) Explain how the emission control
system operates. As applicable, describe
in detail all system components for
controlling greenhouse gas emissions,
including all auxiliary emission control
devices (AECDs) and all fuel-system
components you will install on any
production vehicle. Identify the part
number of each component you
describe. For this paragraph (b), treat as
separate AECDs any devices that
modulate or activate differently from
each other. Also describe your modeling
inputs as described in § 1037.520, with
the following additional information if
it applies for your vehicles:
*
*
*
*
*
(6) If you perform powertrain testing
under 40 1036.545, report both CO2 and
NOX emission levels corresponding to
each test run.
*
*
*
*
*
(e) Describe any test equipment and
procedures that you used, including any
special or alternate test procedures you
used (see § 1037.501). Include
information describing the procedures
you used to determine CdA values as
specified in §§ 1037.525 and 1037.527.
Describe which type of data you are
using for engine fuel maps (see 40 CFR
1036.505).
*
*
*
*
*
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[Amended]
56. Amend § 1037.230 by removing
paragraphs (a)(3) and (d)(3).
■ 57. Amend § 1037.231 by revising
paragraph (a) to read as follows:
■
§ 1037.231
Powertrain families.
(a) If you choose to perform
powertrain testing as specified in 40
CFR 1036.545, use good engineering
judgment to divide your product line
into powertrain families that are
expected to have similar fuel
consumptions and CO2 emission
characteristics throughout the useful
life. Your powertrain family is limited
to a single model year.
*
*
*
*
*
■ 58. Amend § 1037.235 by revising the
introductory text, paragraphs (a) and
(c)(3) and removing paragraph (g)(3) to
read as follows:
§ 1037.235 Testing requirements for
certification.
This section describes the emission
testing you must perform to show
compliance with respect to the
greenhouse gas emission standards in
subpart B of this part, and to determine
any input values from § 1037.520 that
involve measured quantities.
(a) Select emission-data vehicles that
represent production vehicles and
components for the vehicle family
consistent with the specifications in
§§ 1037.205(o) and 1037.520. Where the
test results will represent multiple
vehicles or components with different
emission performance, use good
engineering judgment to select worstcase emission data vehicles or
components. In the case of powertrain
testing under 40 CFR 1036.545, select a
test engine, test hybrid components, test
axle and test transmission as applicable,
by considering the whole range of
vehicle models covered by the
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26127
powertrain family and the mix of duty
cycles specified in § 1037.510. If the
powertrain has more than one
transmission calibration, for example
economy vs. performance, you may
weight the results from the powertrain
testing in 40 CFR 1036.545 by the
percentage of vehicles in the family by
prior model year for each configuration.
This can be done, for example, through
the use of survey data or based on the
previous model year’s sales volume.
Weight the results of Mfuel[cycle]
and W[cycle] from Table 2 of 40 CFR
1036.545 according to the percentage of
vehicles in the family that use each
transmission calibration.
*
*
*
*
*
(c) * * *
(3) Before we test one of your vehicles
or components, we may set its
adjustable parameters to any point
within the practically adjustable ranges,
if applicable.
*
*
*
*
*
■ 59. Amend § 1037.241 to read as
follows:
§ 1037.241 Demonstrating compliance with
exhaust emission standards for greenhouse
gas pollutants.
(a) Compliance determinations for
purposes of certification depend on
whether or not you participate in the
ABT program in subpart H of this part.
(1) If none of your vehicle families
generate or use emission credits in a
given model year, each of your vehicle
families is considered in compliance
with the CO2 emission standards in
§§ 1037.105 and 1037.106 if all vehicle
configurations in the family have
calculated or modeled CO2 emission
rates from § 1037.520 that are at or
below the applicable standards. A
vehicle family is deemed not to comply
if any vehicle configuration in the
family has a calculated or modeled CO2
emission rate that is above the
applicable standard.
(2) If you generate or use emission
credits with one or more vehicle
families in a given model year, your
vehicle families within an averaging set
are considered in compliance with the
CO2 emission standards in §§ 1037.105
and 1037.106 if the sum of positive and
negative credits for all vehicle
configurations in those vehicle families
lead to a zero balance or a positive
balance of credits, except as allowed
by§ 1037.745. Note that the FEL is
considered to be the applicable
emission standard for an individual
configuration.
E:\FR\FM\27APP2.SGM
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EP27AP23.069
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(b) We may require you to provide an
engineering analysis showing that the
performance of your emission controls
will not deteriorate during the useful
life with proper maintenance. If we
determine that your emission controls
are likely to deteriorate during the
useful life, we may require you to
develop and apply deterioration factors
consistent with good engineering
judgment. For example, you may need
to apply a deterioration factor to address
deterioration of battery performance for
a hybrid vehicle. Where the highest
useful life emissions occur between the
end of useful life and at the low-hour
test point, base deterioration factors for
the vehicles on the difference between
(or ratio of) the point at which the
highest emissions occur and the lowhour test point.
aerodynamic performance if we measure
its drag area to be at or below the
maximum drag area allowed for the bin
to which that configuration was
certified.
■ 63. Amend § 1037.501 by revising
paragraphs (a) and (h) and removing
paragraph (i) to read as follows:
§ 1037.501 General testing and modeling
provisions.
(a) For vehicles certified based on
powertrain testing as specified in 40
CFR 1036.545, we may apply the
selective enforcement audit
requirements to the powertrain. If
engine manufacturers perform the
powertrain testing and include those
results in their certification under 40
CFR part 1036, they are responsible for
selective enforcement audits related to
those results. Otherwise, the certificate
holder for the vehicle is responsible for
the selective enforcement audit.
*
*
*
*
*
■ 62. Amend § 1037.401 by revising
paragraph (b) to read as follows:
*
*
*
*
(a) Except as specified in subpart B of
this part, you must demonstrate that you
meet emission standards using emission
modeling as described in § 1037.520.
This modeling depends on several
measured values as described in this
subpart F. You may use fuel-mapping
information from the engine
manufacturer as described in 40 CFR
1036.535 and 1036.540, or you may use
powertrain testing as described in 40
CFR 1036.545.
*
*
*
*
*
(h) Note that declared GEM inputs for
fuel maps and aerodynamic drag area
typically includes compliance margins
to account for testing variability; for
other measured GEM inputs, the
declared values are typically the
measured values without adjustment.
■ 64. Amend § 1037.510 by:
■ a. Revising paragraphs (a)
introductory text, (a)(2) introductory
text, and (a)(2)(iii) and (iv);
■ b. In paragraph (b) in Equation
1037.510–1, in the Where entries for
v¯moving and w[cycle], removing the text
‘‘table 1 to this section’’ and adding, in
its place, the text ‘‘table 1 of this
section’’; and
■ c. Revising paragraphs (c)(3) and (d).
The revisions read as follows:
§ 1037.401
§ 1037.510
§ 1037.310
[Removed]
60. Remove § 1037.310.
61. Amend § 1037.315 by revising
paragraph (a) to read as follows:
■
■
§ 1037.315 Audit procedures related to
powertrain testing.
General provisions.
*
*
*
*
*
(b) We may measure the drag area of
a vehicle you produced after it has been
placed into service. We may use any of
the procedures as specified in
§§ 1037.525 and 1037.527 for measuring
drag area. Your vehicle conforms to the
regulations of this part with respect to
*
Duty-cycle exhaust testing.
*
*
*
*
*
(a) Measure emissions by testing the
powertrain on a powertrain
dynamometer with the applicable duty
cycles. Each duty cycle consists of a
series of speed commands over time—
variable speeds for the transient test and
constant speeds for the highway cruise
tests. None of these cycles include
vehicle starting or warmup.
*
*
*
*
*
(2) Perform cycle-average engine fuel
mapping as described in 40 CFR
1036.540. For powertrain testing under
40 CFR 1036.545 or § 1037.555, perform
testing as described in this paragraph
(a)(2) to generate GEM inputs for each
simulated vehicle configuration, and
test runs representing different idle
conditions. Perform testing as follows:
*
*
*
*
*
(iii) Drive idle. Perform testing at a
loaded idle condition for Phase 2
vocational vehicles. For engines with an
adjustable warm idle speed setpoint,
test at the minimum warm idle speed
and the maximum warm idle speed;
otherwise simply test at the engine’s
warm idle speed. Warm up the
powertrain as described in 40 CFR
1036.520(d). Within 60 seconds after
concluding the warm-up, linearly ramp
the powertrain down to zero vehicle
speed over 20 seconds. Apply the brake
and keep the transmission in drive (or
clutch depressed for manual
transmission). Stabilize the powertrain
for (60±1) seconds and then sample
emissions for (30±1) seconds.
(iv) Parked idle. Perform testing at a
no-load idle condition for Phase 2
vocational vehicles. For engines with an
adjustable warm idle speed setpoint,
test at the minimum warm idle speed
and the maximum warm idle speed;
otherwise simply test at the engine’s
warm idle speed. Warm up the
powertrain as described in 40 CFR
1036.520(d). Within 60 seconds after
concluding the warm-up, linearly ramp
the powertrain down to zero vehicle
speed in 20 seconds. Put the
transmission in park (or neutral for
manual transmissions and apply the
parking brake if applicable). Stabilize
the powertrain for (180±1) seconds and
then sample emissions for (600±1)
seconds.
*
*
*
*
*
(c) * * *
(3) Table 1 follows:
TABLE 1 OF PARAGRAPH (c)(3) OF § 1037.510—WEIGHTING FACTORS FOR DUTY CYCLES
Time-weighted a
Distance-weighted
lotter on DSK11XQN23PROD with PROPOSALS2
Transient
(percent)
Day Cabs ......................................................
Sleeper Cabs ................................................
Heavy-haul Tractors ......................................
Vocational—Regional ....................................
Vocational—Multi-Purpose (2b–7) ................
Vocational—Multi-Purpose (8) ......................
Vocational—Urban (2b–7) .............................
Vocational—Urban (8) ...................................
Vocational with conventional powertrain
(Phase 1 only) ...........................................
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Drive idle
(percent)
Parked idle
(percent)
Non-idle
(percent)
Average
speed during
non-idle cycles
(mi/hr) b
64
86
64
56
17
23
0
0
........................
........................
........................
0
17
17
15
15
........................
........................
........................
25
25
25
25
25
........................
........................
........................
75
58
58
60
60
........................
........................
........................
38.41
23.18
23.27
16.25
16.51
37
........................
........................
........................
........................
55 mi/hr cruise
(percent)
65 mi/hr cruise
(percent)
19
5
19
20
54
54
92
90
17
9
17
24
29
23
8
10
42
21
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
TABLE 1 OF PARAGRAPH (c)(3) OF § 1037.510—WEIGHTING FACTORS FOR DUTY CYCLES—Continued
Time-weighted a
Distance-weighted
Transient
(percent)
Vocational Hybrid Vehicles (Phase 1 only) ..
55 mi/hr cruise
(percent)
65 mi/hr cruise
(percent)
9
16
75
Drive idle
(percent)
Parked idle
(percent)
Non-idle
(percent)
Average
speed during
non-idle cycles
(mi/hr) b
........................
........................
........................
........................
a Note
that these drive idle and non-idle weighting factors do not reflect additional drive idle that occurs during the transient cycle. The transient cycle does not include any parked idle.
b These values apply even for vehicles not following the specified speed traces.
*
*
*
*
*
(d) For highway cruise and transient
testing, compare actual second-bysecond vehicle speed with the speed
specified in the test cycle and ensure
any differences are consistent with the
criteria as specified in 40 CFR
1036.545(g)(1). If the speeds do not
conform to these criteria, the test is not
valid and must be repeated.
*
*
*
*
*
§ 1037.515
[Removed]
65. Remove § 1037.515.
66. Amend § 1037.520 by revising the
introductory text and paragraphs (a)(2)
introductory text, (b)(3), (e)(1) and (3),
(g)(4), and (j)(1) to read as follows:
■
■
§ 1037.520 Modeling CO2 emissions to
show compliance for vocational vehicles
and tractors.
This section describes how to use the
Greenhouse gas Emissions Model (GEM)
to show compliance with the CO2
standards of §§ 1037.105 and 1037.106
for vocational vehicles and tractors. Use
GEM version 2.0.1 to demonstrate
compliance with Phase 1 standards; use
GEM Phase 2, Version 4.0 to
demonstrate compliance with Phase 2
and Phase 3 standards (both
incorporated by reference, see
§ 1037.810). Use good engineering
judgment when demonstrating
compliance using GEM.
(a) * * *
(2) For Phase 2 and Phase 3 vehicles,
the GEM inputs described in paragraphs
(a)(1)(i) through (v) of this section
continue to apply. Note that the
provisions in this part related to vehicle
speed limiters and automatic engine
shutdown systems are available for
vocational vehicles in Phase 2 and
Phase 3. The rest of this section
describes additional GEM inputs for
demonstrating compliance with Phase 2
and Phase 3 standards. Simplified
versions of GEM apply for limited
circumstances as follows:
(b) * * *
(3) For Phase 2 and Phase 3 tractors
other than heavy-haul tractors,
determine bin levels and CdA inputs as
follows:
(i) Determine bin levels for high-roof
tractors based on aerodynamic test
results as specified in § 1037.525 and
summarized in the following table:
TABLE 3 TO PARAGRAPH (b)(3)(i) OF § 1037.520—BIN DETERMINATIONS FOR PHASE 2 AND PHASE 3 HIGH-ROOF
TRACTORS BASED ON AERODYNAMIC TEST RESULTS
[CdA in m2]
Tractor type
Bin I
Bin II
≥7.2
≥6.9
Day Cabs ......................................................
Sleeper Cabs ................................................
(ii) For low- and mid-roof tractors,
you may either use the same bin level
that applies for an equivalent high-roof
Bin III
6.6–7.1
6.3–6.8
Bin IV
6.0–6.5
5.7–6.2
Bin V
5.5–5.9
5.2–5.6
tractor as shown in Table 3 of this
section, or you may determine your bin
Bin VI
5.0–5.4
4.7–5.1
Bin VII
4.5–4.9
4.2–4.6
≤4.4
≤4.1
level based on aerodynamic test results
as described in Table 4 of this section.
TABLE 4 TO PARAGRAPH (b)(3)(ii) OF § 1037.520—BIN DETERMINATIONS FOR PHASE 2 AND PHASE 3 LOW-ROOF AND
MID-ROOF TRACTORS BASED ON AERODYNAMIC TEST RESULTS
[CdA in m2]
Tractor type
Bin I
Bin II
≥5.4
≥5.9
Low-Roof Cabs .............................................
Mid-Roof Cabs ..............................................
Bin III
4.9–5.3
5.5–5.8
Bin IV
4.5–4.8
5.1–5.4
Bin V
4.1–4.4
4.7–5.0
Bin VI
3.8–4.0
4.4–4.6
Bin VII
3.5–3.7
4.1–4.3
≤3.4
≤4.0
(iii) Determine the CdA input
according to the tractor’s bin level as
described in the following table:
lotter on DSK11XQN23PROD with PROPOSALS2
TABLE 5 TO PARAGRAPH (b)(3)(iii) OF § 1037.520—PHASE 2 AND PHASE 3 CdA TRACTOR INPUTS BASED ON BIN LEVEL
Tractor type
Bin I
High-Roof Day Cabs .....................................
High-Roof Sleeper Cabs ...............................
Low-Roof Cabs .............................................
Mid-Roof Cabs ..............................................
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Bin II
7.45
7.15
6.00
7.00
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Bin III
6.85
6.55
5.60
6.65
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Bin IV
6.25
5.95
5.15
6.25
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Bin V
5.70
5.40
4.75
5.85
E:\FR\FM\27APP2.SGM
Bin VI
5.20
4.90
4.40
5.50
27APP2
Bin VII
4.70
4.40
4.10
5.20
4.20
3.90
3.80
4.90
26130
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*
*
*
*
*
(e) * * *
(1) Vehicle weight reduction inputs
for wheels are specified relative to dualwide tires with conventional steel
wheels. For purposes of this paragraph
(e)(1), an aluminum alloy qualifies as
light-weight if a dual-wide drive wheel
made from this material weighs at least
21 pounds less than a comparable
conventional steel wheel. The inputs are
listed in Table 6 of this section. For
example, a tractor or vocational vehicle
with aluminum steer wheels and eight
(4 × 2) dual-wide aluminum drive
wheels would have an input of 210
pounds (2 × 21 + 8 × 21).
TABLE 6 TO § 1037.520—WHEEL-RELATED WEIGHT REDUCTIONS
Weight
reduction—
Phase 1
(pounds per
wheel)
Tire type
Material
Wide-Base Single Drive Tire with . . .a .......................
Steel Wheel ..................................................................
Aluminum Wheel ..........................................................
Light-Weight Aluminum Alloy Wheel ............................
High-Strength Steel Wheel ...........................................
Aluminum Wheel ..........................................................
Light-Weight Aluminum Alloy Wheel ............................
Steer Tire or Dual-wide Drive Tire with . . . ...............
a The
84
139
147
8
21
30
Weight
reduction—
Phase 2
and Phase 3
(pounds per
wheel)
84
147
147
8
25
25
weight reduction for wide-base tires accounts for reduced tire weight relative to dual-wide tires.
*
*
*
*
*
(3) Weight-reduction inputs for
vocational-vehicle components other
than wheels are specified in the
following table:
TABLE 8 TO § 1037.520—NONWHEEL-RELATED WEIGHT REDUCTIONS FROM ALTERNATIVE MATERIALS FOR PHASE 2 AND
PHASE 3 VOCATIONAL VEHICLES
[pounds] a
Vehicle type
Component
Material
Medium HDV b
lotter on DSK11XQN23PROD with PROPOSALS2
Light HDV
Heavy HDV
Axle Hubs—Non-Drive ....................................
Aluminum .......................................................
40
40
Axle Hubs—Non-Drive ....................................
High Strength Steel ........................................
5
5
Axle—Non-Drive .............................................
Aluminum .......................................................
60
60
Axle—Non-Drive .............................................
High Strength Steel ........................................
15
15
Brake Drums—Non-Drive ...............................
Aluminum .......................................................
60
60
Brake Drums—Non-Drive ...............................
High Strength Steel ........................................
42
42
Axle Hubs—Drive ............................................
Aluminum .......................................................
40
80
Axle Hubs—Drive ............................................
High Strength Steel ........................................
10
20
Brake Drums—Drive .......................................
Aluminum .......................................................
70
140
Brake Drums—Drive .......................................
High Strength Steel ........................................
37
74
Suspension Brackets, Hangers ......................
Aluminum .......................................................
67
100
Suspension Brackets, Hangers ......................
High Strength Steel ........................................
20
30
Crossmember—Cab .......................................
Crossmember—Cab .......................................
Crossmember—Non-Suspension ...................
Crossmember—Non-Suspension ...................
Crossmember—Suspension ...........................
Crossmember—Suspension ...........................
Driveshaft ........................................................
Driveshaft ........................................................
Frame Rails .....................................................
Frame Rails .....................................................
Aluminum .......................................................
High Strength Steel ........................................
Aluminum .......................................................
High Strength Steel ........................................
Aluminum .......................................................
High Strength Steel ........................................
Aluminum .......................................................
High Strength Steel ........................................
Aluminum .......................................................
High Strength Steel ........................................
10
2
15
5
15
6
12
5
120
40
a Weight-reduction
b For
values apply per vehicle unless otherwise noted.
Medium HDV with 6 × 4 or 6 × 2 axle configurations, use the values for Heavy HDV.
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27APP2
15
5
15
5
25
6
40
10
300
40
15
5
15
5
25
6
50
12
440
87
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
*
*
*
*
*
*
*
*
*
(g) * * *
(4) GEM inputs associated with
powertrain testing include powertrain
family, transmission calibration
identifier, test data from 40 CFR
1036.545, and the powertrain test
configuration (dynamometer connected
to transmission output or wheel hub).
You do not need to identify or provide
inputs for transmission gear ratios, fuel
map data, or engine torque curves,
which would otherwise be required
under paragraph (f) of this section.
*
*
*
*
*
(j) * * *
(1) Intelligent controls. Enter 2 for
tractors with predictive cruise control.
This includes any cruise control system
that incorporates satellite-based globalpositioning data for controlling operator
demand. For tractors without predictive
cruise control and for all vocational
vehicles, enter 1.5 if they have neutral
coasting or full cylinder deactivation
when coasting, unless good engineering
judgment indicates that a lower
percentage should apply.
*
*
*
*
*
■ 67. Amend § 1037.525 by revising
paragraphs (a) introductory text, (b)(1),
(4), and (5), (c)(1) introductory text, and
(c)(2) introductory text to read as
follows:
§ 1037.525 Aerodynamic measurements
for tractors.
lotter on DSK11XQN23PROD with PROPOSALS2
*
*
*
*
*
(a) General provisions. The GEM
input for a tractor’s aerodynamic
performance is a Cd value for Phase 1
and a CdA value for Phase 2 and Phase
3. The input value is measured or
calculated for a tractor in a specific test
configuration with a trailer, such as a
high-roof tractor with a box van meeting
the requirements for the standard trailer.
*
*
*
*
*
(b) * * *
(1) Determine the functional
relationship between your alternate
method and coastdown testing. Specify
this functional relationship as Falt-aero for
a given alternate drag measurement
method. The effective yaw angle, yeff, is
assumed to be zero degrees for Phase 1.
For Phase 2 and Phase 3, determine Yeff
from coastdown test results using the
following equation:
Where:
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CdAcoastdown(yeff) = the average drag area
measured during coastdown at an
effective yaw angle, yeff.
CdAalt(yeff) = the average drag area calculated
from an alternate drag measurement
method at an effective yaw angle, yeff.
*
*
*
*
*
(4) Measure the drag area using your
alternate method for a Phase 2 and
Phase 3 tractor used to determine Falt-aero
with testing at yaw angles of 0°, ±1°, ±3°,
±4.5°, ±6°, and ±9° (you may include
additional angles), using direction
conventions described in Figure 2 of
SAE J1252 (incorporated by reference,
see § 1037.810). Also, determine the
drag area at the coastdown effective yaw
angle, CdAalt(yeff), by taking the average
drag area at yeff and –yeff for your
vehicle using the same alternate
method.
(5) For Phase 2 and Phase 3 testing,
determine separate values of Falt-aero for
at least one high-roof day cab and one
high-roof sleeper cab for model year
2021, at least two high-roof day cabs
and two high-roof sleeper cabs for
model year 2024, and at least three highroof day cabs and three high-roof
sleeper cabs for model year 2027. These
test requirements are cumulative; for
example, you may meet these
requirements by testing two vehicles to
support model year 2021 certification
and four additional vehicles to support
model year 2023 certification. For any
untested tractor models, apply the value
of Falt-aero from the tested tractor model
that best represents the aerodynamic
characteristics of the untested tractor
model, consistent with good engineering
judgment. Testing under this paragraph
(b)(5) continues to be valid for later
model years until you change the tractor
model in a way that causes the test
results to no longer represent
production vehicles. You must also
determine unique values of Falt-aero for
low-roof and mid-roof tractors if you
determine CdA values based on low or
mid-roof tractor testing as shown in
Table 4 of § 1037.520. For Phase 1
testing, if good engineering judgment
allows it, you may calculate a single,
constant value of Falt-aero for your whole
product line by dividing the coastdown
drag area, CdAcoastdown, by drag area from
your alternate method, CdAalt.
*
*
*
*
*
(c) * * *
(1) Apply the following method for all
Phase 2 and Phase 3 testing with an
alternate method:
*
*
*
*
*
(2) Apply the following method for
Phase 2 and Phase 3 coastdown testing
other than coastdown testing used to
establish Falt-aero:
*
*
*
*
*
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§ 1037.526
[Removed]
68. Remove § 1037.526.
69. Revise § 1037.527 to read as
follows:
■
■
§ 1037.527 Aerodynamic measurements
for vocational vehicles.
This section describes a methodology
for determining vocational vehicle
aerodynamic input values for as
described in § 1037.520. This
measurement is optional. A vocational
vehicle’s aerodynamic performance is
based on a DCdA value relative to a
baseline vehicle. Determine a DCdA
value by performing A to B testing as
follows:
(a) Determine a baseline CdA value for
a vehicle representing a production
configuration without the aerodynamic
improvement. Repeat this testing and
measure CdA for a vehicle with the
improved aerodynamic design.
(b) Use good engineering judgment to
perform paired tests that accurately
demonstrate the reduction in
aerodynamic drag associated with the
improved design.
(c) Measure CdA in m2 to two decimal
places. Calculate DCdA by subtracting
the drag area for the test vehicle from
the drag area for the baseline vehicle.
■ 70. Amend § 1037.528 by:
■ a. Revising the introductory text,
paragraphs (b) introductory text and
(h)(5)(iv);
■ b. Removing paragraph (h)(7);
■ c. Redesignating paragraphs (h)(8)
through (12) as paragraphs (h)(7)
through (11); and
■ d. Revising newly redesignated
paragraph (h)(10).
The revisions read as follows:
§ 1037.528 Coastdown procedures for
calculating drag area (CdA).
The coastdown procedures in this
section describe how to calculate drag
area, CdA, for Phase 2 and Phase 3
tractors and vocational vehicles, subject
to the provisions of §§ 1037.525 and
1037.527. These procedures are
considered the reference method for
tractors. Follow the provisions of
Sections 1 through 9 of SAE J2263
(incorporated by reference, see
§ 1037.810), with the clarifications and
exceptions described in this section.
Several of these exceptions are from
SAE J1263 (incorporated by reference,
see § 1037.810). The coastdown
procedures in 40 CFR 1066.310 apply
instead of the provisions of this section
for Phase 1 tractors.
*
*
*
*
*
(b) To determine CdA values for a
tractor, perform coastdown testing with
a tractor-trailer combination using the
manufacturer’s tractor and a standard
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.070
*
26131
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
Example:
Where:
Fhi = road load force at high speed
determined from Eq. 1037.528–7.
Flo,pair = the average of Flo values for a pair
of opposite direction runs calculated as
described in paragraph (h)(9) of this
section.
DFspin = the difference in drive-axle spin loss
force between high-speed and low-speed
coastdown segments. This is described
in paragraph (h)(5) of this section for
tractor testing.
DFTRR = the difference in tire rolling
resistance force between high-speed and
low-speed coastdown segments as
described in paragraph (h)(6) of this
section.
v¯2air,lo,pair = the average of v¯2air,lo values for a
pair of opposite direction runs calculated
as described in paragraph (h)(9) of this
section.
R = specific gas constant = 287.058 J/(kg·K).
T¯ = mean air temperature expressed to at
least one decimal Place.
p¯act = mean absolute air pressure expressed
to at least one decimal place.
*
(incorporated by reference, see
§ 1037.810), with the following
exceptions and additional provisions:
*
*
*
*
*
(c) To determine CdA values for
certifying tractors, perform wind-tunnel
testing with a tractor-trailer combination
using the manufacturer’s tractor and a
standard trailer. Use a moving/rolling
floor if the facility has one. For Phase 1
tractors, conduct the wind tunnel tests
at a zero yaw angle. For Phase 2 and
Phase 3 vehicles, conduct the wind
tunnel tests by measuring the drag area
at yaw angles of +4.5° and ¥4.5° and
calculating the average of those two
values.
(d) In your request to use wind-tunnel
testing for tractors, describe how you
meet all the specifications that apply
under this section, using terminology
consistent with SAE J1594 (incorporated
by reference, see § 1037.810). If you
request our approval to use wind-tunnel
testing even though you do not meet all
the specifications of this section,
describe how your method nevertheless
qualifies as an alternate method under
§ 1037.525(d) and include all the
following information:
*
*
*
*
*
■ 72. Amend § 1037.532 by revising the
introductory text, paragraphs (a)
introductory text, (b), and (c)
introductory text to read as follows:
The wind-tunnel procedure specified
in this section is an alternate procedure
for tractors.
(a) You may measure drag areas
consistent with published SAE
procedures as described in this section
using any wind tunnel recognized by
the Subsonic Aerodynamic Testing
Association, subject to the provisions of
§§ 1037.525 and 1037.527. If your wind
tunnel does not meet the specifications
described in this section, you may ask
us to approve it as an alternate method
under § 1037.525(d). All wind tunnels
and wind tunnel tests must meet the
specifications described in SAE J1252
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Example:
§ 1037.532 Using computational fluid
dynamics to calculate drag area (CdA).
This section describes how to use
commercially available computational
fluid dynamics (CFD) software to
determine CdA values, subject to the
provisions of §§ 1037.525 and 1037.527.
This is considered to be an alternate
method for tractors.
(a) For Phase 2 and Phase 3 vehicles,
use SAE J2966 (incorporated by
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.072
§ 1037.530 Wind-tunnel procedures for
calculating drag area (CdA).
DFspin = 129.7¥52.7
EP27AP23.071
*
*
*
*
71. Amend § 1037.530 by revising the
introductory text, paragraphs (a)
introductory text, (c), and (d)
introductory text to read as follows:
■
lotter on DSK11XQN23PROD with PROPOSALS2
DFspin = 77.0 N
*
*
*
*
*
(10) Calculate drag area, CdA, in m2
for each high-speed segment using the
following equation, expressed to at least
three decimal places:
trailer. Prepare the vehicles for testing
as follows:
*
*
*
*
*
(h) * * *
(5) * * *
(iv) Calculate DFspin using the
following equation:
EP27AP23.119
26132
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
§ 1037.540 Special procedures for testing
vehicles with hybrid power take-off.
This section describes optional
procedures for quantifying the reduction
in greenhouse gas emissions for vehicles
as a result of running power take-off
(PTO) devices with a hybrid energy
delivery system. See 40 CFR 1036.545
*
*
*
*
*
(f) For Phase 2 and Phase 3, calculate
the delta PTO fuel results for input into
GEM during vehicle certification as
follows:
*
*
*
*
*
§ 1037.550—[Removed]
74. Remove § 1037.550.
75. Amend § 1037.551 by revising the
introductory text and paragraphs (b) and
(c) to read as follows:
■
■
lotter on DSK11XQN23PROD with PROPOSALS2
§ 1037.551 Engine-based simulation of
powertrain testing.
40 CFR 1036.545 describes how to
measure fuel consumption over specific
duty cycles with an engine coupled to
a transmission; 40 CFR 1036.545(a)(5)
describes how to create equivalent duty
cycles for repeating those same
measurements with just the engine. This
§ 1037.551 describes how to perform
this engine testing to simulate the
powertrain test. These engine-based
measurements may be used for selective
enforcement audits as described in
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for powertrain testing requirements that
apply for drivetrain hybrid systems. The
procedures are written to test the PTO
by ensuring that the engine produces all
of the energy with no net change in
stored energy (charge-sustaining), and
for plug-in hybrid electric vehicles, also
allowing for drawing down the stored
energy (charge-depleting). The full
charge-sustaining test for the hybrid
vehicle is from a fully charged
rechargeable energy storage system
(RESS) to a depleted RESS and then
back to a fully charged RESS. You must
include all hardware for the PTO
system. You may ask us to modify the
provisions of this section to allow
testing hybrid vehicles that use a
technology other than batteries for
storing energy, consistent with good
engineering judgment. For plug-in
hybrid electric vehicles, use a utility
factor to properly weight chargesustaining and charge-depleting
operation as described in paragraph
(f)(3) of this section.
*
*
*
*
*
(c) * * *
(2) Prepare the vehicle for testing by
operating it as needed to stabilize the
RESS at a full state of charge (or
equivalent for vehicles that use a
technology other than batteries for
storing energy).
*
*
*
*
*
(5) Operate the vehicle over one or
both of the denormalized PTO duty
cycles without turning the vehicle off,
until the engine starts and then shuts
down. This may require running
multiple repeats of the PTO duty cycles.
For systems that are not plug-in hybrid
systems, the test cycle is completed
once the engine shuts down. For plugin hybrid systems, continue running
until the PTO hybrid is running in a
charge-sustaining mode such that the
‘‘End of Test’’ requirements defined in
40 CFR 1066.501 are met. Measure
emissions as described in paragraph
(b)(7) of this section. Use good
engineering judgment to minimize the
variability in testing between the two
types of vehicles.
*
*
*
*
*
(d) * * *
(4) Divide the total PTO operating
time from paragraph (d)(3) of this
section by a conversion factor of 0.0144
hr/mi for Phase 1 and 0.0217 hr/mi for
Phase 2 and Phase 3 to determine the
equivalent distance driven. The
conversion factors are based on
estimates of average vehicle speed and
PTO operating time as a percentage of
total engine operating time; the Phase 2
and Phase 3 conversion factor is
calculated from an average speed of 27.1
mi/hr and PTO operation 37% of engine
operating time, as follows:
§ 1037.301, as long as the test engine’s
operation represents the engine
operation observed in the powertrain
test. If we use this approach for
confirmatory testing, when making
compliance determinations, we will
consider the uncertainty associated with
this approach relative to full powertrain
testing. Use of this approach for engine
SEAs is optional for engine
manufacturers.
*
*
*
*
*
(b) Operate the engine over the
applicable engine duty cycles
corresponding to the vehicle cycles
specified in § 1037.510(a)(2) for
powertrain testing over the applicable
vehicle simulations described in 40 CFR
1036.545(j). Warm up the engine to
prepare for the transient test or one of
the highway cruise cycles by operating
it one time over one of the simulations
of the corresponding duty cycle. Warm
up the engine to prepare for the idle test
by operating it over a simulation of the
65-mi/hr highway cruise cycle for 600
seconds. Within 60 seconds after
concluding the warm up cycle, start
emission sampling while the engine
operates over the duty cycle. You may
perform any number of test runs directly
in succession once the engine is
warmed up. Perform cycle validation as
described in 40 CFR 1065.514 for engine
speed, torque, and power.
(c) Calculate the mass of fuel
consumed as described in 40 CFR
1036.545(n) and (o). Correct each
measured value for the test fuel’s massspecific net energy content as described
in 40 CFR 1036.550. Use these corrected
values to determine whether the
engine’s emission levels conform to the
declared fuel-consumption rates from
the powertrain test.
■ 76. Amend § 1037.555 by revising the
introductory text to read as follows:
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§ 1037.555 Special procedures for testing
Phase 1 hybrid systems.
This section describes a powertrain
testing procedure for simulating a
chassis test with a pre-transmission or
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.073
reference, see § 1037.810), with the
following clarifications and exceptions:
*
*
*
*
*
(b) For Phase 1 tractors, apply the
procedures as specified in paragraphs
(c) through (f) of this section. Paragraphs
(c) through (f) of section apply for Phase
2 and Phase 3 vehicles only as specified
in paragraph (a) of this section.
(c) To determine CdA values for
certifying a tractor, perform CFD
modeling based on a tractor-trailer
combination using the manufacturer’s
tractor and a standard trailer. Perform
all CFD modeling as follows:
*
*
*
*
*
■ 73. Amend § 1037.540 by:
■ a. Revising the introductory text and
paragraphs (c)(2) and (5), (d)(4), and (f)
introductory text; and
■ b. In paragraph (f)(3), by removing the
text ‘‘the approved utility factor curve’’
and adding, in its place, the text ‘‘the
utility factor curve in appendix E of this
part’’.
The revisions read as follows:
26133
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
model year 2020 for hybrid vehicles
with regenerative braking, vehicles
equipped with Rankine-cycle engines,
battery electric vehicles, and fuel cell
vehicles. You may calculate Phase 2
advanced technology credits through
model year 2026 for plug-in hybrid
electric vehicles, battery electric
vehicles, and fuel cell vehicles. You
may calculate Phase 3 advanced
§ 1037.560 Axle efficiency test.
technology credits for model year 2027
*
*
*
*
*
for fuel cell vehicles. You may not
(e) * * *
generate credits for Phase 1 engine
(2) Maintain gear oil temperature at
technologies for which the engines
(81 to 83) °C. You may alternatively
generate credits under 40 CFR part
specify a lower range by shifting both
1036.
temperatures down by the same amount *
*
*
*
*
for all test points or on a test point by
(d) For Phase 2 and Phase 3 plug-in
test point basis. We will test your axle
hybrid electric vehicles and for fuel
assembly using the same temperature
cells powered by any fuel other than
range you specify for your testing. You
hydrogen, calculate CO2 credits using an
may use an external gear oil
FEL based on emission measurements
conditioning system, as long as it does
from powertrain testing. Phase 2 and
not affect measured values.
Phase 3 advanced technology credits do
*
*
*
*
*
not apply for hybrid vehicles that have
■ 78. Amend § 1037.601 by revising
no plug-in capability.
paragraph (b) to read as follows:
(e) [Reserved]
(f) For battery electric vehicles and for
§ 1037.601 General compliance provisions.
fuel cell electric vehicles, calculate CO2
*
*
*
*
*
credits using an FEL of 0 g/ton-mile.
(b) Vehicles exempted from the
Note that these vehicles are subject to
applicable standards of 40 CFR part 86
compression-ignition standards for CO2.
or part 1036 other than glider vehicles
(g) As specified in subpart H of this
are exempt from the standards of this
part, advanced-technology credits
part without request. Similarly, vehicles generated from Phase 1 vehicles under
other than glider vehicles are exempt
this section may be used under this part
without request if the installed engine is 1037 outside of the averaging set in
exempted from the applicable standards which they were generated, or they may
in 40 CFR part 86 or part 1036.
be used under 40 CFR part 86, subpart
*
*
*
*
*
S, or 40 CFR part 1036. Advanced■ 79. Amend § 1037.610 by revising
technology credits generated from Phase
paragraph (f)(2) to read as follows:
2 and Phase 3 vehicles are subject to all
the averaging-set restrictions that apply
§ 1037.610 Vehicles with off-cycle
to other emission credits.
technologies.
*
*
*
*
*
*
*
*
*
*
(f) * * *
§ 1037.620 [Amended]
(2) For model years 2021 and later,
■ 81. Amend § 1037.620 by removing
you may not rely on an approval for
paragraph (c) and redesignating
model years before 2021. You must
paragraphs (d) through (f) as paragraphs
separately request our approval before
(c) through (e).
applying an improvement factor or
■ 82. Amend § 1037.622 by revising the
credit under this section for Phase 2 and introductory text and paragraph (d)(5) to
Phase 3 vehicles, even if we approved
read as follows:
an improvement factor or credit for
§ 1037.622 Shipment of partially complete
similar vehicle models before model
vehicles to secondary vehicle
year 2021. Note that Phase 2 and Phase
manufacturers.
3 approval may carry over for multiple
This section specifies how
years.
manufacturers
may introduce partially
*
*
*
*
*
complete vehicles into U.S. commerce
■ 80. Amend § 1037.615 by revising
(or in the case of certain custom
paragraphs (a) and (d) through (g) to
vehicles, introduce complete vehicles
read as follows:
into U.S. commerce for modification by
§ 1037.615 Advanced technologies.
a small manufacturer). The provisions of
this section are intended to
(a) This section describes how to
accommodate normal business practices
calculate emission credits for advanced
technologies. You may calculate Phase 1 without compromising the effectiveness
of certified emission controls. You may
advanced technology credits through
lotter on DSK11XQN23PROD with PROPOSALS2
post-transmission hybrid system to
perform A to B testing of Phase 1
vehicles. These procedures may also be
used to perform A to B testing with nonhybrid systems. See 40 CFR 1036.545
for Phase 2 and Phase 3 hybrid systems.
*
*
*
*
*
■ 77. Amend § 1037.560 by revising
paragraph (e)(2) to read as follows:
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not use the provisions of this section to
circumvent the intent of this part. For
vehicles subject to both exhaust
greenhouse gas and evaporative
standards, the provisions of this part
apply separately for each certificate.
*
*
*
*
*
(d) * * *
(5) The provisions of this paragraph
(d) may apply separately for vehicle
greenhouse gas, evaporative, and
refueling emission standards.
*
*
*
*
*
■ 83. Amend§ 1037.630 by revising
paragraphs (a)(1)(iii) and (c) to read as
follows:
§ 1037.630
Special purpose tractors.
(a) * * *
(1) * * *
(iii) Model year 2020 and earlier
tractors with a gross combination weight
rating (GCWR) at or above 120,000
pounds. Note that Phase 2 and Phase 3
tractors meeting the definition of
‘‘heavy-haul’’ in § 1037.801 must be
certified to the heavy-haul standards in
§§ 1037.106 or 1037.670.
*
*
*
*
*
(c) Production limit. No manufacturer
may produce more than 21,000 Phase 1
vehicles under this section in any
consecutive three model year period.
This means you may not exceed 6,000
in a given model year if the combined
total for the previous two years was
15,000. The production limit applies
with respect to all Class 7 and Class 8
Phase 1 tractors certified or exempted as
vocational tractors. No production limit
applies for tractors subject to Phase 2
and Phase 3 standards.
*
*
*
*
*
■ 84. Amend § 1037.631 by revising
paragraph (a) introductory text to read
as follows:
§ 1037.631 Exemption for vocational
vehicles intended for off-road use.
*
*
*
*
*
(a) Qualifying criteria. Vocational
vehicles intended for off-road use are
exempt without request, subject to the
provisions of this section, if they are
primarily designed to perform work offroad (such as in oil fields, mining,
forests, or construction sites), and they
meet at least one of the criteria of
paragraph (a)(1) of this section and at
least one of the criteria of paragraph
(a)(2) of this section. See § 1037.105(h)
for alternate Phase 2 and Phase 3
standards that apply for vehicles
meeting only one of these sets of
criteria.
*
*
*
*
*
■ 85. Amend § 1037.635 by revising
paragraph (b)(1) to read as follows:
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§ 1037.635
Glider kits and glider vehicles.
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(b) * * *
(1) The engine must meet the
greenhouse gas standards of 40 CFR part
1036 that apply for the engine model
year corresponding to the vehicle’s date
of manufacture. For example, for a
vehicle with a 2024 date of
manufacture, the engine must meet the
greenhouse gas standards that apply for
model year 2024.
*
*
*
*
*
■ 86. Amend § 1037.640 by revising the
introductory text to read as follows:
§ 1037.640
Variable vehicle speed limiters.
This section specifies provisions that
apply for vehicle speed limiters (VSLs)
that you model under § 1037.520. This
does not apply for VSLs that you do not
model under § 1037.520. (e) This section
is written to apply for tractors; however,
you may use good engineering judgment
to apply equivalent adjustments for
Phase 2 and Phase 3 vocational vehicles
with vehicle speed limiters.
*
*
*
*
*
87. Amend § 1037.660 by revising
paragraphs (a)(1)(iv), (2), and (3) to read
as follows:
■
§ 1037.660
Idle-reduction technologies.
*
*
*
*
*
(a) * * *
(1) * * *
(iv) For Phase 2 and Phase 3 tractors,
you may identify AES systems as
‘‘adjustable’’ if, before delivering to the
ultimate purchaser, you enable
authorized dealers to modify the vehicle
in a way that disables the AES system
or makes the threshold inactivity period
longer than 300 seconds. However, the
vehicle may not be delivered to the
ultimate purchaser with the AES system
disabled or the threshold inactivity
period set longer than 300 seconds. You
may allow dealers or repair facilities to
make such modifications; this might
involve password protection for
electronic controls, or special tools that
only you provide. Any dealers making
any modifications before delivery to the
ultimate purchaser must notify you, and
you must account for such
modifications in your production and
ABT reports after the end of the model
year. Dealers failing to provide prompt
notification are in violation of the
tampering prohibition of 40 CFR
1068.101(b)(1). Dealer notifications are
deemed to be submissions to EPA. Note
that these adjustments may not be made
if the AES system was not ‘‘adjustable’’
when first delivered to the ultimate
purchaser.
*
*
*
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*
(2) Neutral idle. Phase 2 and Phase 3
vehicles with hydrokinetic torque
converters paired with automatic
transmissions qualify for neutral-idle
credit in GEM modeling if the
transmission reduces torque equivalent
to shifting into neutral throughout the
interval during which the vehicle’s
brake pedal is depressed and the vehicle
is at a zero-speed condition (beginning
within five seconds of the vehicle
reaching zero speed with the brake
depressed). If a vehicle reduces torque
partially but not enough to be
equivalent to shifting to neutral, you
may use the provisions of § 1037.610(g)
to apply for an appropriate partial
emission reduction; this may involve A
to B testing with the powertrain test
procedure in 40 CFR 1036.545 or the
spin-loss portion of the transmission
efficiency test in § 1037.565.
(3) Stop-start. Phase 2 and Phase 3
vocational vehicles qualify for stop-start
reduction in GEM modeling if the
engine shuts down no more than 5
seconds after the vehicle’s brake pedal
is depressed when the vehicle is at a
zero-speed condition.
*
*
*
*
*
■ 88. Amend § 1037.665 by revising
paragraphs (a)(1) and (d) to read as
follows:
§ 1037.665
testing.
Production and in-use tractor
*
*
*
*
*
(a) * * *
(1) Each calendar year, select for
testing three sleeper cabs and two day
cabs certified to Phase 1 or Phase 2 or
Phase 3 standards. If we do not identify
certain vehicle configurations for your
testing, select models that you project to
be among your 12 highest-selling
vehicle configurations for the given
year.
*
*
*
*
*
(d) Greenhouse gas standards do not
apply with respect to testing under this
section. Note however that NTE
standards apply for any qualifying
operation that occurs during the testing
in the same way that it would during
any other in-use testing.
■ 89. Amend § 1037.670 by revising
paragraph (a) to read as follows:
§ 1037.670 Optional CO2 emission
standards for tractors at or above 120,000
pounds GCWR.
(a) You may certify tractors at or
above 120,000 pounds GCWR to the
following CO2 standards instead of the
Phase 2 CO2 standards of § 1037.106:
TABLE 1 OF PARAGRAPH (a) OF § 1037.670—OPTIONAL CO2 STANDARDS FOR MODEL YEAR 2026 AND EARLIER
TRACTORS ABOVE 120,000 POUNDS GCWR
(g/ton-mile) a
Model years
2021–2023
Subcategory
Heavy
Heavy
Heavy
Heavy
Heavy
Heavy
Class
Class
Class
Class
Class
Class
8
8
8
8
8
8
Low-Roof Day Cab .........................................................................................................................
Low-Roof Sleeper Cab ...................................................................................................................
Mid-Roof Day Cab ..........................................................................................................................
Mid-Roof Sleeper Cab ....................................................................................................................
High-Roof Day Cab .........................................................................................................................
High-Roof Sleeper Cab ...................................................................................................................
53.5
47.1
55.6
49.6
54.5
47.1
Model years
2024–2026
50.8
44.5
52.8
46.9
51.4
44.2
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a Note that these standards are not directly comparable to the standards for Heavy-Haul Tractors in § 1037.106 because GEM handles aerodynamic performance differently for the two sets of standards.
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■ 90. Amend § 1037.701 by revising
paragraphs (a) and (h) to read as follows:
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§ 1037.701
General provisions.
(a) You may average, bank, and trade
emission credits for purposes of
certification as described in this subpart
and in subpart B of this part to show
compliance with the standards of
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§§ 1037.105 and 1037.106. Note that
§ 1037.105(h) specifies standards
involving limited or no use of emission
credits under this subpart. Participation
in this program is voluntary.
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(h) See § 1037.740 for special credit
provisions that apply for credits
generated under 40 CFR 86.1819–
14(k)(7), 40 CFR 1036.615, or
§ 1037.615.
*
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*
■ 91. Revise § 1037.705 to read as
follows:
§ 1037.705 Generating and calculating CO2
emission credits.
(a) The provisions of this section
apply separately for calculating CO2
emission credits for each pollutant.
(b) For each participating family or
subfamily, calculate positive or negative
emission credits relative to the
otherwise applicable emission standard.
Calculate positive emission credits for a
family or subfamily that has an FEL
below the standard. Calculate negative
emission credits for a family or
subfamily that has an FEL above the
standard. Sum your positive and
negative credits for the model year
before rounding. Round the sum of
emission credits to the nearest
megagram (Mg), using consistent units
with the following equation:
Emission credits (Mg) = (Std¥FEL) · PL
· Volume · UL · 10¥6
lotter on DSK11XQN23PROD with PROPOSALS2
Where:
Std = the emission standard associated with
the specific regulatory subcategory (g/
ton-mile). For credits generated on all
model year 2027 and later vocational
vehicles with tailpipe CO2 emissions
deemed to be zero under 40 CFR
1037.150(f), use the emission standard in
§ 1037.105 that applies for the
compression-ignition multi-purpose
subcategory for the corresponding
vehicle weight class.
FEL = the family emission limit for the
vehicle subfamily (g/ton-mile).
PL = standard payload, in tons.
Volume = U.S.-directed production volume
of the vehicle subfamily, subject to the
exclusions described in paragraph (c) of
this section. For example, if you produce
three configurations with the same FEL,
the subfamily production volume would
be the sum of the production volumes for
these three configurations.
UL = useful life of the vehicle, in miles, as
described in §§ 1037.105 and 1037.106.
(c) Compliance with the requirements
of this subpart is determined at the end
of the model year by calculating
emission credits based on actual
production volumes, excluding any of
the following engines:
(1) Vehicles that you do not certify to
the CO2 standards of this part because
they are permanently exempted under
subpart G of this part or under 40 CFR
part 1068.
(2) Exported vehicles even if they are
certified under this part and labeled
accordingly.
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(3) Vehicles not subject to the
requirements of this part, such as those
excluded under § 1037.5.
(4) Any other vehicles, where we
indicate elsewhere in this part 1037 that
they are not to be included in the
calculations of this subpart.
■ 92. Amend § 1037.710 by revising
paragraph (c) to read as follows:
§ 1037.710
Averaging.
*
*
*
*
*
(c) If you certify a vehicle family to an
FEL that exceeds the otherwise
applicable standard, you must obtain
enough emission credits to offset the
vehicle family’s deficit by the due date
for the final report required in
§ 1037.730. The emission credits used to
address the deficit may come from your
other vehicle families that generate
emission credits in the same model year
(or from later model years as specified
in § 1037.745), from emission credits
you have banked from previous model
years, or from emission credits
generated in the same or previous model
years that you obtained through trading.
■ 93. Amend § 1037.715 by revising
paragraph (a) to read as follows:
§ 1037.715
Banking.
(a) Banking is the retention of surplus
emission credits by the manufacturer
generating the emission credits for use
in future model years for averaging or
trading.
*
*
*
*
*
■ 94. Amend § 1037.720 by revising
paragraph (a) to read as follows:
§ 1037.720
Trading.
(a) Trading is the exchange of
emission credits between
manufacturers, or the transfer of credits
to another party to retire them. You may
use traded emission credits for
averaging, banking, or further trading
transactions. Traded emission credits
remain subject to the averaging-set
restrictions based on the averaging set in
which they were generated.
*
*
*
*
*
■ 95. Amend § 1037.730 by revising
paragraphs (b)(4) and (f) to read as
follows:
§ 1037.730
ABT reports.
*
*
*
*
*
(b) * * *
(4) The projected and actual
production volumes for the model year
for calculating emission credits. If you
changed an FEL during the model year,
identify the actual production volume
associated with each FEL.
*
*
*
*
*
(f) * * *
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(1) If you notify us by the deadline for
submitting the final report that errors
mistakenly decreased your balance of
emission credits, you may correct the
errors and recalculate the balance of
emission credits. If you notify us that
errors mistakenly decreased your
balance of emission credits after the
deadline for submitting the final report,
you may correct the errors and
recalculate the balance of emission
credits after applying a 10 percent
discount to the credit correction, but
only if you notify us within 24 months
after the deadline for submitting the
final report. If you report a negative
balance of emission credits, we may
disallow corrections under this
paragraph (f)(1).
*
*
*
*
*
■ 96. Amend § 1037.740 by:
■ a. Removing paragraphs (a)(4) and (5);
■ b. Redesignating paragraph (a)(6) as
paragraph (a)(4); and
■ c. Revising paragraphs (b)(1)
introductory text and (b)(2).
The revisions read as follows:
§ 1037.740
credits.
Restrictions for using emission
*
*
*
*
*
(a) * * *
(4) Note that other separate averaging
sets also apply for emission credits not
related to this part. For example,
vehicles certified to the greenhouse gas
standards of 40 CFR part 86, subpart S,
comprise a single averaging set.
Separate averaging sets also apply for
engines under 40 CFR part 1036,
including engines used in vehicles
subject to this subpart.
(b) * * *
(1) Credits generated from Phase 1
vehicles may be used for any of the
averaging sets identified in paragraph
(a) of this section; you may also use
those credits to demonstrate compliance
with the CO2 emission standards in 40
CFR part 86, subpart S, and 40 CFR part
1036. Similarly, you may use Phase 1
advanced-technology credits generated
under 40 CFR 86.1819–14(k)(7) or 40
CFR 1036.615 to demonstrate
compliance with the CO2 standards in
this part. The maximum amount of
advanced-technology credits generated
from Phase 1 vehicles that you may
bring into each of the following service
class groups is 60,000 Mg per model
year:
*
*
*
*
*
(2) Credits generated from Phase 2
and Phase 3 vehicles are subject to all
the averaging-set restrictions that apply
to other emission credits.
*
*
*
*
*
■ 97. Amend § 1037.745 by revising
paragraph (a) to read as follows:
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§ 1037.745
End-of-year CO2 credit deficits.
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*
(a) Your certificate for a vehicle
family for which you do not have
sufficient CO2 credits will not be void
if you remedy the deficit with surplus
credits within three model years (this
applies equally for tractors and
vocational vehicles). For example, if you
have a credit deficit of 500 Mg for a
vehicle family at the end of model year
2015, you must generate (or otherwise
obtain) a surplus of at least 500 Mg in
that same averaging set by the end of
model year 2018.
*
*
*
*
*
■ 98. Amend § 1037.801 by:
■ a. Adding a definition of ‘‘Battery
electric vehicle’’ in alphabetical order;
■ b. Removing the definition of ‘‘Box
van’’;
■ c. Revising the definition of ‘‘Class’’;
■ d. Removing the definitions of
‘‘Container chassis’’, ‘‘Electric vehicle’’,
and ‘‘Flatbed trailer’’;
■ e. Adding a definition of ‘‘Fuel cell
electric vehicle’’ in alphabetical order;
■ f. Revising the definitions of ‘‘Heavyduty vehicle’’ and ‘‘Heavy-haul tractor’’;
■ g. Adding a definition of ‘‘Hybrid’’ in
alphabetical order;
■ h. Removing the definitions of
‘‘Hybrid engine or hybrid powertrain’’
and ‘‘Hybrid vehicle’’;
■ i. Revising the definitions of ‘‘Low
rolling resistance tire’’, ‘‘Manufacturer’’,
and ‘‘Model year’’;
■ j. Adding a definition of ‘‘Neat’’ in
alphabetical order;
■ k. Revising the definitions of ‘‘Phase
1’’ and ‘‘Phase 2’’;
■ l. Adding definitions of ‘‘Phase 3’’ and
‘‘Plug-in hybrid electric vehicle’’ in
alphabetical order;
■ m. Revising the definitions of
‘‘Preliminary approval’’, ‘‘Small
manufacturer’’, and ‘‘Standard
payload’’;
■ n. Removing the definitions of
‘‘Standard tractor’’ and ‘‘Tank trailer’’;
and
■ o. Revising the definitions of ‘‘Tire
rolling resistance level (TRRL)’’,
‘‘Trailer’’, ‘‘U.S.-directed production
volume’’, and ‘‘Vehicle’’.
The additions and revision read as
follows:
§ 1037.801
Definitions.
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Battery electric vehicle means a motor
vehicle powered solely by an electric
motor where energy for the motor is
supplied by one or more batteries that
receive power from an external source
of electricity. Note that this definition
does not include hybrid vehicles or
plug-in hybrid electric vehicles.
*
*
*
*
*
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Class means relating to GVWR classes
for vehicles, as follows:
(1) Class 2b means relating to heavyduty motor vehicles at or below 10,000
pounds GVWR.
(2) Class 3 means relating to heavyduty motor vehicles above 10,000
pounds GVWR but at or below 14,000
pounds GVWR.
(3) Class 4 means relating to heavyduty motor vehicles above 14,000
pounds GVWR but at or below 16,000
pounds GVWR.
(4) Class 5 means relating to heavyduty motor vehicles above 16,000
pounds GVWR but at or below 19,500
pounds GVWR.
(5) Class 6 means relating to heavyduty motor vehicles above 19,500
pounds GVWR but at or below 26,000
pounds GVWR.
(6) Class 7 means relating to heavyduty motor vehicles above 26,000
pounds GVWR but at or below 33,000
pounds GVWR.
(7) Class 8 means relating to heavyduty motor vehicles above 33,000
pounds GVWR.
*
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*
Fuel cell electric vehicle means a
motor vehicle powered solely by an
electric motor where energy for the
motor is supplied by hydrogen fuel
cells. Fuel cell electric vehicles may
include energy storage from the fuel
cells or from regenerative braking in a
battery.
*
*
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*
Heavy-duty vehicle means any motor
vehicle that has a GVWR above 8,500
pounds. An incomplete vehicle is also
a heavy-duty vehicle if it has a curb
weight above 6,000 pounds or a basic
vehicle frontal area greater than 45
square feet.
Heavy-haul tractor means a tractor
with GCWR greater than or equal to
120,000 pounds. A heavy-haul tractor is
not a vocational tractor in Phase 2 and
Phase 3.
*
*
*
*
*
Hybrid has the meaning given in 40
CFR 1036.801. Note that a hybrid
vehicle is a vehicle with a hybrid
powertrain (including a hybrid engine).
This includes plug-in hybrid electric
vehicles.
*
*
*
*
*
Low rolling resistance tire means a tire
on a vocational vehicle with a TRRL at
or below of 7.7 N/kN, a steer tire on a
tractor with a TRRL at or below 7.7 N/
kN, a drive tire on a tractor with a TRRL
at or below 8.1 N/kN.
*
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*
*
Manufacturer has the meaning given
in section 216(1) of the Act. In general,
this term includes any person who
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manufactures or assembles a vehicle
(including an incomplete vehicle) for
sale in the United States or otherwise
introduces a new motor vehicle into
commerce in the United States. This
includes importers who import vehicles
for resale, entities that manufacture
glider kits, and entities that assemble
glider vehicles.
*
*
*
*
*
Model year means one of the
following for compliance with this part.
Note that manufacturers may have other
model year designations for the same
vehicle for compliance with other
requirements or for other purposes:
(1) For tractors and vocational
vehicles with a date of manufacture on
or after January 1, 2021, model year
means the manufacturer’s annual new
model production period based on the
vehicle’s date of manufacture, where the
model year is the calendar year
corresponding to the date of
manufacture, except as follows:
(i) The vehicle’s model year may be
designated as the year before the
calendar year corresponding to the date
of manufacture if the engine’s model
year is also from an earlier year. You
may ask us to extend your prior model
year certificate to include such vehicles.
Note that § 1037.601(a)(2) limits the
extent to which vehicle manufacturers
may install engines built in earlier
calendar years.
(ii) The vehicle’s model year may be
designated as the year after the calendar
year corresponding to the vehicle’s date
of manufacture. For example, a
manufacturer may produce a new
vehicle by installing the engine in
December 2023 and designating it as a
model year 2024 vehicle.
(2) For Phase 1 tractors and vocational
vehicles with a date of manufacture
before January 1, 2021, model year
means the manufacturer’s annual new
model production period, except as
restricted under this definition and 40
CFR part 85, subpart X. It must include
January 1 of the calendar year for which
the model year is named, may not begin
before January 2 of the previous
calendar year, and it must end by
December 31 of the named calendar
year. The model year may be set to
match the calendar year corresponding
to the date of manufacture.
(i) The manufacturer who holds the
certificate of conformity for the vehicle
must assign the model year based on the
date when its manufacturing operations
are completed relative to its annual
model year period. In unusual
circumstances where completion of
your assembly is delayed, we may allow
you to assign a model year one year
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earlier, provided it does not affect
which regulatory requirements will
apply.
(ii) Unless a vehicle is being shipped
to a secondary vehicle manufacturer
that will hold the certificate of
conformity, the model year must be
assigned prior to introduction of the
vehicle into U.S. commerce. The
certifying manufacturer must
redesignate the model year if it does not
complete its manufacturing operations
within the originally identified model
year. A vehicle introduced into U.S.
commerce without a model year is
deemed to have a model year equal to
the calendar year of its introduction into
U.S. commerce unless the certifying
manufacturer assigns a later date.
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Neat has the meaning given in 40 CFR
1065.1001.
*
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Phase 1 means relating to the Phase
1 standards specified in §§ 1037.105 and
1037.106. For example, a vehicle subject
to the Phase 1 standards is a Phase 1
vehicle.
Phase 2 means relating to the Phase
2 standards specified in §§ 1037.105 and
1037.106.
Phase 3 means relating to the Phase
3 standards specified in §§ 1037.105 and
1037.106.
*
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*
Plug-in hybrid electric vehicle means
a hybrid vehicle that has the capability
to charge one or more batteries from an
external source of electricity while the
vehicle is parked.
*
*
*
*
*
Preliminary approval means approval
granted by an authorized EPA
representative prior to submission of an
application for certification, consistent
with the provisions of § 1037.210.
*
*
*
*
*
Small manufacturer means a
manufacturer meeting the small
business criteria specified in 13 CFR
121.201 for heavy-duty truck
manufacturing (NAICS code 336120).
The employee limit applies to the total
number employees for all affiliated
companies (as defined in 40 CFR
1068.30).
*
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*
Standard payload means the payload
assumed for each vehicle, in tons, for
modeling and calculating emission
credits, as follows:
(1) For vocational vehicles:
(i) 2.85 tons for Light HDV.
(ii) 5.6 tons for Medium HDV.
(iii) 7.5 tons for Heavy HDV.
(2) For tractors:
(i) 12.5 tons for Class 7.
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(ii) 19 tons for Class 8, other than
heavy-haul tractors.
(iii) 43 tons for heavy-haul tractors.
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*
Tire rolling resistance level (TRRL)
means a value with units of N/kN that
represents the rolling resistance of a tire
configuration. TRRLs are used as
modeling inputs under § 1037.520. Note
that a manufacturer may use the
measured value for a tire configuration’s
coefficient of rolling resistance, or
assign some higher value.
*
*
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*
*
Trailer means a piece of equipment
designed for carrying cargo and for
being drawn by a tractor when coupled
to the tractor’s fifth wheel.
*
*
*
*
*
U.S.-directed production volume
means the number of vehicle units,
subject to the requirements of this part,
produced by a manufacturer for which
the manufacturer has a reasonable
assurance that sale was or will be made
to ultimate purchasers in the United
States. Note that this includes vehicles
certified to state emission standards that
are different than the emission
standards in this part.
*
*
*
*
*
Vehicle means equipment intended
for use on highways that meets at least
one of the criteria of paragraph (1) of
this definition, as follows:
(1) The following equipment are
vehicles:
(i) A piece of equipment that is
intended for self-propelled use on
highways becomes a vehicle when it
includes at least an engine, a
transmission, and a frame. (Note: For
purposes of this definition, any
electrical, mechanical, and/or hydraulic
devices attached to engines for the
purpose of powering wheels are
considered to be transmissions.)
(ii) A piece of equipment that is
intended for self-propelled use on
highways becomes a vehicle when it
includes a passenger compartment
attached to a frame with one or more
axles.
(2) Vehicles may be complete or
incomplete vehicles as follows:
(i) A complete vehicle is a functioning
vehicle that has the primary load
carrying device or container (or
equivalent equipment) attached when it
is first sold as a vehicle. Examples of
equivalent equipment would include
fifth wheel trailer hitches, firefighting
equipment, and utility booms.
(ii) An incomplete vehicle is a vehicle
that is not a complete vehicle.
Incomplete vehicles may also be cabcomplete vehicles. This may include
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vehicles sold to secondary vehicle
manufacturers.
(iii) You may ask us to allow you to
certify a vehicle as incomplete if you
manufacture the engines and sell the
unassembled chassis components, as
long as you do not produce and sell the
body components necessary to complete
the vehicle.
*
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*
■ 99. In § 1037.805 amend Table 5 in
paragraph (e) by adding an entry for
‘‘GHG’’ in alphabetical order and
removing the entry for ‘‘PHEV’’ to read
as follows:
§ 1037.805 Symbols, abbreviations, and
acronyms.
*
*
*
(e) * * *
*
*
TABLE 5 TO PARAGRAPH (e) OF
§ 1037.805—OTHER
ACRONYMS
AND ABBREVIATIONS
Acronym
*
Meaning
*
*
GHG ..............
*
*
*
*
Greenhouse gas.
*
*
*
*
*
*
*
*
100. Amend § 1037.810 by:
a. Removing paragraph (c)(9);
b. Redesignating paragraph (c)(10) as
paragraph (c)(9);
■ c. Revising paragraph (d)(4);
■ d. Removing the text ‘‘bb’’ in
paragraphs (d)(2), (3), and (5) and add,
in their place, the text ‘‘x’’; and
■ e. Adding paragraph (e).
The revision and addition read as
follows:
■
■
■
§ 1037.810
Incorporation by reference.
*
*
*
*
*
(d) * * *
(4) Greenhouse gas Emissions Model
(GEM) Phase 2, Version 4.0, April 2022
(‘‘GEM Phase 2, Version 4.0’’); IBR
approved for §§ 1037.150(x); 1037.520.
*
*
*
*
*
(e) UN Economic Commission for
Europe, Information Service, Palais des
Nations, CH–1211 Geneva 10,
Switzerland; unece_info@un.org;
www.unece.org:
(1) Addendum 22: United Nations
Global Technical Regulation, No. 22,
United Nations Global Technical
Regulation on In-vehicle Battery
Durability for Electrified Vehicles,
Adopted April 14, 2022, (‘‘GTR No.
22’’); IBR approved for § 1037.115(f).
(2) [Reserved]
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
101. Revise appendix C of part 1037
to read as follows:
■
PART 1054—CONTROL OF EMISSIONS
FROM NEW, SMALL NONROAD
SPARK-IGNITION ENGINES AND
EQUIPMENT
Appendix C of Part 1037—Emission
Control Identifiers
103. The authority citation for part
1054 continues to read as follows:
■
This appendix identifies
abbreviations for emission control
information labels, as required under
§ 1037.135.
Authority: 42 U.S.C. 7401–7671q.
102. Amend appendix D of part 1037
by revising the appendix heading to
read as follows:
■
Appendix D of Part 1037—Heavy-Duty
Grade Profile for Phase 2 and Phase 3
Steady-State Test Cycles
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104. Amend § 1054.501 by revising
paragraph (b)(7) to read as follows:
■
Vehicle Speed Limiters
—VSL—Vehicle speed limiter
—VSLS—‘‘Soft-top’’ vehicle speed limiter
—VSLE—Expiring vehicle speed limiter
—VSLD—Vehicle speed limiter with both
‘‘soft-top’’ and expiration
Idle Reduction Technology
—IRT5—Engine shutoff after 5 minutes or
less of idling
—IRTE—Expiring engine shutoff
Tires
—LRRA—Low rolling resistance tires (all)
—LRRD—Low rolling resistance tires
(drive)
—LRRS—Low rolling resistance tires
(steer)
Aerodynamic Components
—ATS—Aerodynamic side skirt and/or
fuel tank fairing
—ARF—Aerodynamic roof fairing
—ARFR—Adjustable height aerodynamic
roof fairing
—TGR—Gap reducing tractor fairing
(tractor to trailer gap)
Other Components
—ADVH—Vehicle includes advanced
hybrid technology components
—ADVO—Vehicle includes other
advanced-technology components (i.e.,
non-hybrid system)
—INV—Vehicle includes innovative (offcycle) technology components
—ATI—Automatic tire inflation system
—TPMS—Tire pressure monitoring system
§ 1054.501
test?
How do I run a valid emission
*
*
*
*
*
(b) * * *
(7) Determine your test fuel’s carbon
mass fraction, wc, using a calculation
based on fuel properties as described in
40 CFR 1065.655(d); however, you must
measure fuel properties for a and b
rather than using the default values
specified in 40 CFR 1065.655(e).
*
*
*
*
*
PART 1065—ENGINE-TESTING
PROCEDURES
105. The authority citation for part
1065 continues to read as follows:
■
Authority: 42 U.S.C. 7401–7671q.
106. Amend § 1065.210 by revising
paragraph (a) to read as follows:
■
§ 1065.210
Work input and output sensors.
(a) Application. Use instruments as
specified in this section to measure
work inputs and outputs during engine
operation. We recommend that you use
sensors, transducers, and meters that
meet the specifications in Table 1 of
§ 1065.205. Note that your overall
systems for measuring work inputs and
outputs must meet the linearity
verifications in § 1065.307. We
recommend that you measure work
inputs and outputs where they cross the
system boundary as shown in Figure 1
of this section. The system boundary is
different for air-cooled engines than for
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liquid-cooled engines. If you choose to
measure work before or after a work
conversion, relative to the system
boundary, use good engineering
judgment to estimate any workconversion losses in a way that avoids
overestimation of total work. For
example, if it is impractical to
instrument the shaft of an exhaust
turbine generating electrical work, you
may decide to measure its converted
electrical work. As another example,
your engine may include an engine
exhaust electrical heater where the
heater is powered by an external power
source. In these cases, assume an
electrical generator efficiency of 0.67
(h=0.67), which is a conservative
estimate of the efficiency and could
over-estimate brake-specific emissions.
As another example, you may decide to
measure the tractive (i.e., electrical
output) power of a locomotive, rather
than the brake power of the locomotive
engine. In these cases, divide the
electrical work by accurate values of
electrical generator efficiency (h<1), or
assume an efficiency of 1 (h=1), which
would over-estimate brake-specific
emissions. For the example of using
locomotive tractive power with a
generator efficiency of 1 (h=1), this
means using the tractive power as the
brake power in emission calculations.
Do not underestimate any work
conversion efficiencies for any
components outside the system
boundary that do not return work into
the system boundary. And do not
overestimate any work conversion
efficiencies for components outside the
system boundary that do return work
into the system boundary. In all cases,
ensure that you are able to accurately
demonstrate compliance with the
applicable standards in this chapter.
Figure 1 follows:
BILLING CODE 6560–50–P
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BILLING CODE 6560–50–C
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Figure 1 to paragraph (a) of § 1065.210:
Work Inputs, Outputs, and System
Boundaries
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
107. Amend subpart C by adding a
new center header ‘‘H2 AND H2O
MEASUREMENTS’’ after § 1065.250 and
adding §§ 1065.255 and 1065.257 under
the new center header to read as
follows:
H2 and H2O MEASUREMENTS
■
§ 1065.255
H2 measurement devices.
(a) General component requirements.
We recommend that you use an analyzer
that meets the specifications in Table 1
of § 1065.205. Note that your system
must meet the linearity verification in
§ 1065.307.
(b) Instrument types. You may use any
of the following analyzers to measure
H2:
(1) Magnetic sector mass
spectrometer.
(2) Raman spectrometer.
(c) Interference verification. Certain
species can positively interfere with
magnetic sector mass spectroscopy and
raman spectroscopy by causing a
response similar to H2. When running
the interference verification for these
analyzers, use good engineering
judgment to determine interference
species. Note that for raman
spectroscopy interference species are
dependent on the H2 infrared absorption
band chosen by the instrument
manufacturer. For each analyzer
determine the H2 infrared absorption
band. For each H2 infrared adsorption
band, determine the interference species
to use in the verification. Use the
interference species specified by the
instrument manufacturer or use good
engineering judgment to determine the
interference species.
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§ 1065.257 Fourier transform infrared
analyzer for H2O measurement.
(a) Component requirements. We
recommend that you use an FTIR
analyzer that meets the specifications in
Table 1 of § 1065.205. Note that your
system must meet the linearity
verification in § 1065.307 using a water
generation system that meets the
requirements of § 1065.750(a)(6). Use
appropriate analytical procedures for
interpretation of infrared spectra. For
example, EPA Test Method 320 (see
§ 1065.266(b)) and ASTM D6348
(incorporated by reference, see
§ 1065.1010) are considered valid
methods for spectral interpretation. You
must use heated FTIR analyzers that
maintain all surfaces that are exposed to
emissions at a temperature of (110 to
202) °C.
(b) Interference verification. Certain
species can interfere with FTIR
analyzers by causing a response similar
to the water.
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(1) Perform CO2 interference
verification for FTIR analyzers using the
procedures of § 1065.357 as CO2 gas can
positively interfere with FTIR analyzers
by causing a response similar to H2O.
(2) Use good engineering judgment to
determine other interference species for
FTIR analyzers. Possible interference
species include, but are not limited to,
CO, NO, C2H4, and C7H8. Perform
interference verification using the
procedures of § 1065.357, replacing
occurances of CO2 (except for
§ 1065.357(e)(1)) with the targeted
interferent specie. Note that interference
species, with the exception of CO2, are
dependent on the H2O infrared
absorption band chosen by the
instrument manufacturer. For each
analyzer determine the H2O infrared
absorption band. For each H2O infrared
absorption band, use good engineering
judgment to determine interference
species to use in the verification.
■ 108. Amend § 1065.266 by revising
paragraph (e) as follows:
§ 1065.266
analyzer.
Fourier transform infrared
*
*
*
*
*
(e) Interference verification. Perform
interference verification for FTIR
analyzers using the procedures of
§ 1065.366. Certain species can interfere
with FTIR analyzers by causing a
response similar to the hydrocarbon
species of interest. When running the
interference verification for these
analyzers, use interference species as
follows:
(1) The interference species for CH4
are CO2, H2O, and C2H6.
(2) The interference species for C2H6
are CO2, H2O, and CH4.
(3) The interference species for other
measured hydrocarbon species are CO2,
H2O, CH4, and C2H6.
■ 109. Revise the undesignated center
heading preceding § 1065.270 to read as
follows:
NOX, N2O, and NH3 MEASUREMENTS
■ 110. Add § 1065.277 under the
undesignated and newly revised center
header ‘‘NOX, N2O, and NH3
Measurements’’ to read as follows:
§ 1065.277
NH3 measurement devices.
(a) General component requirements.
We recommend that you use an analyzer
that meets the specifications in Table 1
of § 1065.205. Note that your system
must meet the linearity verification in
§ 1065.307.
(b) Instrument types. You may use any
of the following analyzers to measure
NH3:
(1) Nondispersive ultravoilet (NDUV)
analyzer.
(2) Fourier transform infrared (FTIR)
analyzer. Use appropriate analytical
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procedures for interpretation of infrared
spectra. For example, EPA Test Method
320 (see § 1065.266(b)) and ASTM
D6348 (incorporated by reference, see
§ 1065.1010) are considered valid
methods for spectral interpretation.
(3) Laser infrared analyzer. Examples
of laser infrared analyzers are pulsedmode high-resolution narrow band midinfrared analyzers, modulated
continuous wave high-resolution
narrow band mid-infrared analyzers,
and modulated continuous wave highresolution near-infrared analyzers. A
quantum cascade laser, for example, can
emit coherent light in the mid-infrared
region where nitrogen compounds
including NH3 have strong absorption.
(c) Sampling system. NH3 has a
tendency to adsorb to surfaces that it
encounters. Minimize NH3 losses and
sampling artifacts by using sampling
system components (sample lines,
prefilters and valves) made of stainless
steel or PTFE heated to (110 to 202) °C.
If you heat these components to
temperatures ≥130 °C, use good
engineering judgement to minimize NH3
formation due to thermal decomposition
and hydrolysis of any DEF present in
the sample gas. Use a sample line that
is as short as practically possible.
(d) Interference verification. Certain
species can positively interfere with
NDUV, FTIR, and laser infrared
analyzers by causing a response similar
to NH3. Perform interference verification
for NDUV analyzers using the
procedures of § 1065.372, replacing
occurances of NOX with NH3 and
interference species with those listed in
paragraph (d)(1) of this section. NDUV
analyzers must have combined
interference that is within (0.0±2.0)
mmol/mol. Perform interference
verification for FTIR and laser infrared
analyzers using the procedures of
§ 1065.377. When running the
interference verification for these
analyzers, use interference species as
follows:
(1) For NDUV analyzers, use SO2 and
H2O as the interference species.
(2) Use good engineering judgment to
determine interference species for FTIR
and laser infrared analyzers. Note that
interference species, with the exception
of H2O, are dependent on the NH3
infrared absorption band chosen by the
instrument manufacturer. For each
analyzer determine the NH3 infrared
absorption band. For each NH3 infrared
absorption band, use the interference
gases specified by the instrument
manufacturer or use good engineering
judgment to determine the interference
gases to use in the verification.
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Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
111. Amend § 1065.315 by revising
paragraphs (a)(2) and (3) to read as
follows:
■
§ 1065.315 Pressure, temperature, and
dewpoint calibration.
(a) * * *
(2) Temperature. We recommend
digital dry-block or stirred-liquid
temperature calibrators, with data
logging capabilities to minimize
transcription errors. We recommend
using calibration reference quantities
that are NIST-traceable within ±0.5%
uncertainty of absolute temperature.
You may perform linearity verification
for temperature measurement systems
with thermocouples, RTDs, and
thermistors by removing the sensor from
the system and using a simulator in its
place. Use a NIST-traceable simulator
that is independently calibrated and, as
appropriate, cold-junction compensated.
The simulator uncertainty scaled to
absolute temperature must be less than
0.5% of Tmax. If you use this option, you
must use sensors that the supplier states
are accurate to better than 0.5% of Tmax
compared with their standard
calibration curve.
(3) Dewpoint. We recommend a
minimum of three different
temperature-equilibrated and
temperature-monitored calibration salt
solutions in containers that seal
completely around the dewpoint sensor.
We recommend using calibration
reference quantities that are NISTtraceable within ±0.5% uncertainty of
absolute dewpoint temperature.
*
*
*
*
*
■ 112. Amend subpart D by adding a
new center header ‘‘H2O
MEASUREMENTS’’ after § 1065.355 and
adding §§ 1065.357 under the new
center header to read as follows:
H2O MEASUREMENTS
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§ 1065.357 CO2 interference verification
for H2O FTIR analyzers.
(a) Scope and frequency. If you
measure H2O using an FTIR analyzer,
verify the amount of CO2 interference
after initial analyzer installation and
after major maintenance.
(b) Measurement principles. CO2 can
interfere with an FTIR analyzer’s
response to H2O. If the FTIR analyzer
uses compensation algorithms that
utilize measurements of other gases to
meet this interference verification,
simultaneously conduct these other
measurements to test the compensation
algorithms during the analyzer
interference verification.
(c) System requirements. An H2O
FTIR analyzer must have a CO2
interference that is within (0.0±0.4)
mmol/mol, though we strongly
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recommend a lower interference that is
within (0.0±0.2) mmol/mol.
(d) Procedure. Perform the
interference verification as follows:
(1) Start, operate, zero, and span the
H2O FTIR analyzer as you would before
an emission test.
(2) Use a CO2 span gas that meets the
specifications of § 1065.750 and a
concentration that is approximately the
maximum CO2 concentration expected
during emission testing.
(3) Introduce the CO2 test gas into the
sample system.
(4) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the transfer
line and to account for analyzer
response.
(5) While the analyzer measures the
sample’s concentration, record 30
seconds of sampled data. Calculate the
arithmetic mean of this data. The
analyzer meets the interference
verification if this value is within (0.0
± 0.4) mmol/mol.
(e) Exceptions. The following
exceptions apply:
(1) You may omit this verification for
CO2 for engines operating on fuels other
than carbon-containing fuels.
(2) You may omit this verification if
you can show by engineering analysis
that for your H2O sampling system and
your emission-calculation procedures,
the CO2 interference for your H2O FTIR
analyzer always affects your brakespecific emission results within ±0.5%
of each of the applicable standards in
this chapter. This specification also
applies for vehicle testing, except that it
relates to emission results in g/mile or
g/kilometer.
(3) You may use an H2O FTIR
analyzer that you determine does not
meet this verification, as long as you try
to correct the problem and the
measurement deficiency does not
adversely affect your ability to show
that engines comply with all applicable
emission standards.
■ 113. Amend § 1065.360 by revising
paragraphs (a)(4), (b), (d) introductory
text, and (d)(12) to read as follows:
§ 1065.360 FID optimization and
verification.
(a) * * *
(4) You may determine the methane
(CH4) and ethane (C2H6) response factors
as a function of the molar water
concentration in the raw or diluted
exhaust. If you choose the option in this
paragraph (a)(4), generate and verify the
humidity level (or fraction) as described
in § 1065.365(g).
(b) Calibration. Use good engineering
judgment to develop a calibration
procedure, such as one based on the
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FID-analyzer manufacturer’s
instructions and recommended
frequency for calibrating the FID.
Alternately, you may remove system
components for off-site calibration. For
a FID that measures THC, calibrate
using C3H8 calibration gases that meet
the specifications of § 1065.750. For a
FID that measures CH4, calibrate using
CH4 calibration gases that meet the
specifications of § 1065.750. We
recommend FID analyzer zero and span
gases that contain approximately the
flow-weighted mean concentration of O2
expected during testing. If you use a FID
to measure CH4 downstream of a
nonmethane cutter (NMC), you may
calibrate that FID using CH4 calibration
gases with the NMC. Regardless of the
calibration gas composition, calibrate on
a carbon number basis of one (C1). For
example, if you use a C3H8 span gas of
concentration 200 mmol/mol, span the
FID to respond with a value of 600
mmol/mol. As another example, if you
use a CH4 span gas with a concentration
of 200 mmol/mol, span the FID to
respond with a value of 200 mmol/mol.
*
*
*
*
*
(d) THC FID CH4 response factor
determination. This procedure is only
for FID analyzers that measure THC.
Since FID analyzers generally have a
different response to CH4 versus C3H8,
determine the THC–FID analyzer’s CH4
response factor, RFCH4[THC–FID], after FID
optimization. Use the most recent
RFCH4[THC–FID] measured according to
this section in the calculations for HC
determination described in § 1065.660
to compensate for CH4 response.
Determine RFCH4[THC–FID] as follows,
noting that you do not determine
RFCH4[THC–FID] for FIDs that are
calibrated and spanned using CH4 with
an NMC:
*
*
*
*
*
(12) You may determine the response
factor as a function of molar water
concentration and use this response
factor to account for the CH4 response
for NMHC determination described in
§ 1065.660(b)(2)(iii). If you use this
option, humidify the CH4 span gas as
described in § 1065.365(g) and repeat
the steps in paragraphs (d)(7) through
(9) of this section until measurements
are complete for each setpoint in the
selected range. Divide each mean
measured CH4 concentration by the
recorded span concentration of the CH4
calibration gas, adjusted for water
content, to determine the FID analyzer’s
CH4 response factor, RFCH4[THC–FID]. Use
the CH4 response factors at the different
setpoints to create a functional
relationship between response factor
and molar water concentration,
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downstream of the last sample dryer if
any sample dryers are present. Use this
functional relationship to determine the
response factor during an emission test.
*
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■ 114. Revise § 1065.365 to read as
follows:
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§ 1065.365 Nonmethane cutter penetration
fractions and NMC FID response factors.
(a) Scope and frequency. If you use a
FID analyzer and a nonmethane cutter
(NMC) to measure methane (CH4),
determine the NMC’s penetration
fractions of CH4, PFCH4, and ethane
(C2H6), PFC2H6. As detailed in this
section, these penetration fractions may
be determined as a combination of NMC
penetration fractions and FID analyzer
response factors, depending on your
particular NMC and FID analyzer
configuration. Perform this verification
after installing the NMC. Repeat this
verification within 185 days of testing to
verify that the catalytic activity of the
NMC has not deteriorated. Note that
because NMCs can deteriorate rapidly
and without warning if they are
operated outside of certain ranges of gas
concentrations and outside of certain
temperature ranges, good engineering
judgment may dictate that you
determine an NMC’s penetration
fractions more frequently.
(b) Measurement principles. A NMC is
a heated catalyst that removes
nonmethane hydrocarbons from an
exhaust sample stream before the FID
analyzer measures the remaining
hydrocarbon concentration. An ideal
NMC would have a CH4 penetration
fraction, PFCH4, of 1.000, and the
penetration fraction for all other
nonmethane hydrocarbons would be
0.000, as represented by PFC2H6. The
emission calculations in § 1065.660 use
the measured values from this
verification to account for less than
ideal NMC performance.
(c) System requirements. We do not
limit NMC penetration fractions to a
certain range. However, we recommend
that you optimize an NMC by adjusting
its temperature to achieve a PFC2H6
<0.02, as determined by paragraphs (d),
(e), or (f) of this section, as applicable,
using dry gases. If we use an NMC for
testing, it will meet this
recommendation. If adjusting NMC
temperature does not result in achieving
this recommendation, we recommend
that you replace the catalyst material.
Use the most recently determined
penetration values from this section to
calculate HC emissions according to
§ 1065.660 and § 1065.665 as applicable.
(d) Procedure for a FID calibrated
with the NMC. The method described in
this paragraph (d) is recommended over
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the procedures specified in paragraphs
(e) and (f) of this section and required
for any gaseous-fueled engine, including
dual-fuel and flexible-fuel engines. For
any gaseous-fueled engine, including
dual-fuel and flexible-fuel engines, you
must determine the combined CH4
response factor and penetration fraction,
RFPFCH4[NMC–FID], and combined C2H6
response factor and penetration fraction,
RFPFC2H6[NMC–FID], as a function of the
molar water concentration in the raw or
diluted exhaust as described in
paragraphs (d)(9) and (g) of this section.
Note that RFPFCH4[NMC–FID] is set equal
to 1.0 only for zero molar water
concentration. For any other engine you
may use the same procedure, or you
may set RFPFCH4[NMC–FID] equal to 1.0
and determine RFPFC2H6[NMC–FID] at zero
molar water concentration. Generate
and verify the humidity generation as
described in paragraph (g) of this
section.
(1) Select CH4 and C2H6 analytical gas
mixtures and ensure that both mixtures
meet the specifications of § 1065.750.
Select a CH4 concentration that you
would use for spanning the FID during
emission testing and select a C2H6
concentration that is typical of the peak
NMHC concentration expected at the
hydrocarbon standard or equal to the
THC analyzer’s span value. For CH4
analyzers with multiple ranges, perform
this procedure on the highest range used
for emission testing.
(2) Start, operate, and optimize the
NMC according to the manufacturer’s
instructions, including any temperature
optimization.
(3) Confirm that the FID analyzer
meets all the specifications of
§ 1065.360.
(4) Start and operate the FID analyzer
according to the manufacturer’s
instructions.
(5) Zero and span the FID with the
NMC as you would during emission
testing. Span the FID through the NMC
by using CH4 span gas.
(6) Introduce the C2H6 analytical gas
mixture upstream of the NMC. Use good
engineering judgment to address the
effect of hydrocarbon contamination if
your point of introduction is vastly
different from the point of zero/span gas
introduction.
(7) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the NMC and
to account for the analyzer’s response.
(8) While the analyzer measures a
stable concentration, record 30 seconds
of sampled data. Calculate the
arithmetic mean of these data points.
(9) Divide the mean C2H6
concentration by the reference
concentration of C2H6, converted to a C1
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basis and adjusted for water content, if
necessary. The result is the combined
C2H6 response factor and penetration
fraction, RFPFC2H6[NMC–FID]. Use this
combined C2H6 response factor and
C2H6 penetration fraction and the
product of the CH4 response factor and
CH4 penetration fraction,
RFPFCH4[NMC–FID], set to 1.0 in emission
calculations according to
§ 1065.660(b)(2)(i) or (d)(1)(i) or
§ 1065.665, as applicable. If you are
generating mixtures as a function of
molar water concentration, follow the
guidance in paragraph (g) of this section
and repeat the steps in paragraphs (d)(6)
to (9) of this section until all setpoints
have been completed. Use
RFPFC2H6[NMC–FID] at the different
setpoints to create a functional
relationship between RFPFC2H6[NMC–FID]
and molar water concentration,
downstream of the last sample dryer if
any sample dryers are present. Use this
functional relationship to determine the
combined response factor and
penetration fraction during the emission
test.
(10) If required by this paragraph (d),
repeat the steps in paragraphs (d)(6)
through (9) of this section, but with the
CH4 analytical gas mixture instead of
C2H6 and determine RFPFCH4[NMC–FID]
instead.
(11) Use this combined C2H6 response
factor and penetration fraction,
RFPFC2H6[NMC–FID], and this combined
CH4 response factor and penetration
fraction, RFPFCH4[NMC–FID], in emission
calculations according to
§§ 1065.660(b)(2)(i) and
1065.660(d)(1)(i).
(e) Procedure for a FID calibrated with
propane, bypassing the NMC. If you use
a single FID for THC and CH4
determination with an NMC that is
calibrated with propane, C3H8, by
bypassing the NMC, determine its
penetration fractions, PFC2H6[NMC–FID]
and PFCH4[NMC–FID], as follows:
(1) Select CH4 and C2H6 analytical gas
mixtures and ensure that both mixtures
meet the specifications of § 1065.750.
Select a CH4 concentration that you
would use for spanning the FID during
emission testing and select a C2H6
concentration that is typical of the peak
NMHC concentration expected at the
hydrocarbon standard and the C2H6
concentration typical of the peak total
hydrocarbon (THC) concentration
expected at the hydrocarbon standard or
equal to the THC analyzer’s span value.
For CH4 analyzers with multiple ranges,
perform this procedure on the highest
range used for emission testing.
(2) Start and operate the NMC
according to the manufacturer’s
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instructions, including any temperature
optimization.
(3) Confirm that the FID analyzer
meets all the specifications of
§ 1065.360.
(4) Start and operate the FID analyzer
according to the manufacturer’s
instructions.
(5) Zero and span the FID as you
would during emission testing. Span the
FID by bypassing the NMC and by using
C3H8 span gas. Note that you must span
the FID on a C1 basis. For example, if
your span gas has a propane reference
value of 100 mmol/mol, the correct FID
response to that span gas is 300 mmol/
mol because there are three carbon
atoms per C3H8 molecule.
(6) Introduce the C2H6 analytical gas
mixture upstream of the NMC. Use good
engineering judgment to address the
effect of hydrocarbon contamination if
your point of introduction is vastly
different from the point of zero/span gas
introduction.
(7) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the NMC and
to account for the analyzer’s response.
(8) While the analyzer measures a
stable concentration, record 30 seconds
of sampled data. Calculate the
arithmetic mean of these data points.
(9) Reroute the flow path to bypass
the NMC, introduce the C2H6 analytical
gas mixture, and repeat the steps in
paragraphs (e)(7) through (8) of this
section.
(10) Divide the mean C2H6
concentration measured through the
NMC by the mean C2H6 concentration
measured after bypassing the NMC. The
result is the C2H6 penetration fraction,
PFC2H6[NMC–FID]. Use this penetration
fraction according to
§ 1065.660(b)(2)(ii), § 1065.660(d)(1)(ii),
or § 1065.665, as applicable.
(11) Repeat the steps in paragraphs
(e)(6) through (10) of this section, but
with the CH4 analytical gas mixture
instead of C2H6. The result will be the
CH4 penetration fraction, PFCH4[NMC–FID].
Use this penetration fraction according
to § 1065.660(b)(2)(ii) or § 1065.665, as
applicable.
(f) Procedure for a FID calibrated with
CH4, bypassing the NMC. If you use a
FID with an NMC that is calibrated with
CH4, by bypassing the NMC, determine
its combined C2H6 response factor and
penetration fraction, RFPFC2H6[NMC–FID],
as well as its CH4 penetration fraction,
PFCH4[NMC–FID], as follows:
(1) Select CH4 and C2H6 analytical gas
mixtures and ensure that both mixtures
meet the specifications of § 1065.750.
Select a CH4 concentration that you
would use for spanning the FID during
emission testing and select a C2H6
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concentration that is typical of the peak
NMHC concentration expected at the
hydrocarbon standard or equal to the
THC analyzer’s span value. For CH4
analyzers with multiple ranges, perform
this procedure on the highest range used
for emission testing.
(2) Start and operate the NMC
according to the manufacturer’s
instructions, including any temperature
optimization.
(3) Confirm that the FID analyzer
meets all the specifications of
§ 1065.360.
(4) Start and operate the FID analyzer
according to the manufacturer’s
instructions.
(5) Zero and span the FID as you
would during emission testing. Span the
FID by bypassing the NMC and by using
CH4 span gas.
(6) Introduce the C2H6 analytical gas
mixture upstream of the NMC. Use good
engineering judgment to address the
effect of hydrocarbon contamination if
your point of introduction is vastly
different from the point of zero/span gas
introduction.
(7) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the NMC and
to account for the analyzer’s response.
(8) While the analyzer measures a
stable concentration, record 30 seconds
of sampled data. Calculate the
arithmetic mean of these data points.
(9) Divide the mean C2H6
concentration by the reference
concentration of C2H6, converted to a C1
basis. The result is the combined C2H6
response factor and C2H6 penetration
fraction, RFPFC2H6[NMC–FID]. Use this
combined C2H6 response factor and
penetration fraction according to
§ 1065.660(b)(2)(iii) or (d)(1)(iii) or
§ 1065.665, as applicable.
(10) Introduce the CH4 analytical gas
mixture upstream of the NMC. Use good
engineering judgment to address the
effect of hydrocarbon contamination if
your point of introduction is vastly
different from the point of zero/span gas
introduction.
(11) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the NMC and
to account for the analyzer’s response.
(12) While the analyzer measures a
stable concentration, record 30 seconds
of sampled data. Calculate the
arithmetic mean of these data points.
(13) Reroute the flow path to bypass
the NMC, introduce the CH4 analytical
gas mixture, and repeat the steps in
paragraphs (e)(11) and (12) of this
section.
(14) Divide the mean CH4
concentration measured through the
NMC by the mean CH4 concentration
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measured after bypassing the NMC. The
result is the CH4 penetration fraction,
PFCH4[NMC–FID]. Use this CH4 penetration
fraction according to
§ 1065.660(b)(2)(iii) or (d)(1)(iii) or
§ 1065.665, as applicable.
(g) Test gas humidification. If you are
generating gas mixtures as a function of
the molar water concentration in the
raw or diluted exhaust according to
paragraph (d) of this section, then create
a humidified test gas by bubbling the
analytical gas mixture that meets the
specifications in § 1065.750 through
distilled H2O in a sealed vessel or use
a device that introduces distilled H2O as
vapor into a controlled gas flow.
Determine H2O concentration as an
average value over intervals of at least
30 seconds. We recommend that you
design your system so the wall
temperatures in the transfer lines,
fittings, and valves from the point where
the mole fraction of H2O in the
humidified calibration gas, xH2Oref, is
measured to the analyzer are at least 5
°C above the local calibration gas
dewpoint. Verify the humidity
generator’s uncertainty upon initial
installation, within 370 days before
verifying response factors and
penetration fractions, and after major
maintenance. Use the uncertainties from
the calibration of the humidity
generator’s measurements and follow
NIST Technical Note 1297 (incorporated
by reference, see § 1065.1010) to verify
that the amount of H2O in xH2Oref is
determined within ±3% uncertainty,
UxH2O, for one of the options described
in § 1065.750(a)(6)(i) or (ii). If the
humidity generator requires assembly
before use, after assembly follow the
instrument manufacturer’s instructions
to check for leaks.
(1) If the sample does not pass
through a dryer during emission testing,
generate at least five different H2O
concentrations that cover the range from
less than the minimum expected to
greater than the maximum expected
water concentration during testing. Use
good engineering judgment to determine
the target concentrations.
(2) If the sample passes through a
dryer during emission testing, humidify
your test gas to an H2O level at or above
the level determined in § 1065.145(e)(2)
for that dryer and determine a single
wet analyzer response to the
dehumidified sample.
■ 115. Amend § 1065.366 by revising
paragraph (b) to read as follows:
§ 1065.366 Interference verification for
FTIR analyzers.
*
*
*
*
*
(b) Measurement principles. Certain
species can interfere with analyzers by
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causing a response similar to the target
analyte. If the analyzer uses
compensation algorithms that utilize
measurements of other gases to meet
this interference verification,
simultaneously conduct these other
measurements to test the compensation
algorithms during the analyzer
interference verification.
*
*
*
*
*
■ 116. Amend § 1065.375 by revising
paragraphs (b) and (d)(9) to read as
follows:
§ 1065.375 Interference verification for
N2O analyzers.
*
*
*
*
(b) Measurement principles. Certain
species can positively interfere with
analyzers by causing a response similar
to N2O. If the analyzer uses
compensation algorithms that utilize
measurements of other gases to meet
this interference verification,
simultaneously conduct these other
measurements to test the compensation
algorithms during the analyzer
interference verification.
*
*
*
*
*
(d) * * *
(9) You may also run interference
procedures separately for individual
interference species. If the concentration
of the interference species used are
higher than the maximum levels
expected during testing, you may scale
down each observed interference value
(the arithmetic mean of 30 second data
described in paragraph (d)(7) of this
section) by multiplying the observed
interference by the ratio of the
maximum expected concentration value
to the actual value used during this
procedure. You may run separate
interference concentrations of H2O
(down to 0.025 mol/mol H2O content)
that are lower than the maximum levels
expected during testing, but you must
scale up the observed H2O interference
by multiplying the observed
interference by the ratio of the
maximum expected H2O concentration
value to the actual value used during
this procedure. The sum of the scaled
interference values must meet the
tolerance for combined interference as
specified in paragraph (c) of this
section.
■ 117. Add § 1065.377 to read as
follows:
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*
§ 1065.377
analyzers.
Interference verification for NH3
(a) Scope and frequency. See
§ 1065.277 to determine whether you
need to verify the amount of
interference after initial analyzer
installation and after major
maintenance.
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(b) Measurement principles. Certain
species can positively interfere with
analyzers by causing a response similar
to NH3. If the analyzer uses
compensation algorithms that utilize
measurements of other gases to meet
this interference verification,
simultaneously conduct these other
measurements to test the compensation
algorithms during the analyzer
interference verification.
(c) System requirements. Analyzers
must have combined interference that is
within (0.0±2.0) mmol/mol.
(d) Procedure. Perform the
interference verification as follows:
(1) Start, operate, zero, and span the
NH3 analyzer as you would before an
emission test. If the sample is passed
through a dryer during emission testing,
you may run this verification test with
the dryer if it meets the requirements of
§ 1065.342. Operate the dryer at the
same conditions as you will for an
emission test. You may also run this
verification test without the sample
dryer.
(2) Create a humidified test gas using
a multi component span gas that
incorporates the target interference
species and meets the specifications in
§ 1065.750 and a humidity generator
device that introduces distilled H2O as
vapor into a controlled gas flow. If the
sample does not pass through a dryer
during emission testing, humidify your
test gas to an H2O level at or above the
maximum expected during emission
testing. If the sample passes through a
dryer during emission testing, you must
humidify your test gas to an H2O level
at or above the level determined in
§ 1065.145(e)(2) for that dryer. Use
interference span gas concentrations
that are at least as high as the maximum
expected during testing.
(3) Introduce the humidified
interference test gas into the sample
system. You may introduce it
downstream of any sample dryer, if one
is used during testing.
(4) If the sample is not passed through
a dryer during this verification test,
measure the H2O mole fraction, xH2O, of
the humidified interference test gas as
close as possible to the inlet of the
analyzer. For example, measure
dewpoint, Tdew, and absolute pressure,
ptotal, to calculate xH2O. Verify that the
H2O content meets the requirement in
paragraph (d)(2) of this section. If the
sample is passed through a dryer during
this verification test, you must verify
that the H2O content of the humidified
test gas downstream of the vessel meets
the requirement in paragraph (d)(2) of
this section based on either direct
measurement of the H2O content (e.g.,
dewpoint and pressure) or an estimate
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based on the vessel pressure and
temperature. Use good engineering
judgment to estimate the H2O content.
For example, you may use previous
direct measurements of H2O content to
verify the vessel’s level of saturation.
(5) If a sample dryer is not used in this
verification test, use good engineering
judgment to prevent condensation in the
transfer lines, fittings, or valves from the
point where xH2O is measured to the
analyzer. We recommend that you
design your system so that the wall
temperatures in the transfer lines,
fittings, and valves from the point where
xH2O is measured to the analyzer are at
least 5 °C above the local sample gas
dewpoint.
(6) Allow time for the analyzer
response to stabilize. Stabilization time
may include time to purge the transfer
line and to account for analyzer
response.
(7) While the analyzer measures the
sample’s concentration, record its
output for 30 seconds. Calculate the
arithmetic mean of this data. When
performed with all the gases
simultaneously, this is the combined
interference.
(8) The analyzer meets the
interference verification if the result of
paragraph (d)(7) of this section meets
the tolerance in paragraph (c) of this
section.
(9) You may also run interference
procedures separately for individual
interference species. If the concentration
of the interference species used are
higher than the maximum levels
expected during testing, you may scale
down each observed interference value
(the arithmetic mean of 30 second data
described in paragraph (d)(7) of this
section) by multiplying the observed
interference by the ratio of the
maximum expected concentration value
to the actual value used during this
procedure. You may run separate
interference concentrations of H2O
(down to 0.025 mol/mol H2O content)
that are lower than the maximum levels
expected during testing, but you must
scale up the observed H2O interference
by multiplying the observed
interference by the ratio of the
maximum expected H2O concentration
value to the actual value used during
this procedure. The sum of the scaled
interference values must meet the
tolerance for combined interference as
specified in paragraph (c) of this
section.
■ 118. Amend § 1065.512 by revising
paragraphs (b)(1) and (2) to read as
follows:
§ 1065.512
Duty cycle generation.
*
*
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(b) * * *
(1) Engine speed for variable-speed
engines. For variable-speed engines,
normalized speed may be expressed as
a percentage between warm idle speed,
fnidle, and maximum test speed, fntest, or
speed may be expressed by referring to
a defined speed by name, such as
‘‘warm idle,’’ ‘‘intermediate speed,’’ or
‘‘A,’’ ‘‘B,’’ or ‘‘C’’ speed. Section
1065.610 describes how to transform
these normalized values into a sequence
of reference speeds, fnref. Running duty
cycles with negative or small
normalized speed values near warm idle
speed may cause low-speed idle
governors to activate and the engine
torque to exceed the reference torque
even though the operator demand is at
a minimum. In such cases, we
recommend controlling the
dynamometer so it gives priority to
follow the reference torque instead of
the reference speed and let the engine
govern the speed. Note that the cyclevalidation criteria in § 1065.514 allow
an engine to govern itself. This
allowance permits you to test engines
with enhanced-idle devices, to simulate
the effects of transmissions such as
automatic transmissions, and for
engines with speed derate intended to
limit exhaust mass flowrate.
(i) For example, an enhanced-idle
device might be an idle speed value that
is normally commanded only under
cold-start conditions to quickly warm
up the engine and aftertreatment
devices. In this case, negative and very
low normalized speeds will generate
reference speeds below this higher
enhanced-idle speed. Control the
dynamometer so it gives priority to
follow the reference torque, controlling
the operator demand so it gives priority
to follow reference speed and let the
engine govern the speed when the
operator demand is at minimum.
You may do either of the following
when using enhanced-idle devices:
(A) While running an engine where
the ECM broadcasts an enhanced-idle
speed that is above the denormalized
speed, use the broadcast speed as the
reference speed. Use these new
reference points for duty-cycle
validation. This does not affect how you
determine denormalized reference
torque in paragraph (b)(2) of this
section.
(B) If an ECM broadcast signal is not
available, perform one or more practice
cycles to determine the enhanced-idle
speed as a function of cycle time.
Generate the reference cycle as you
normally would but replace any
reference speed that is lower than the
enhanced-idle speed with the enhancedidle speed. This does not affect how you
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determine denormalized reference
torque in paragraph (b)(2) of this
section.
(ii) For example, an engine with
power derate intended to limit exhaust
mass flowrate might include controls
that reduce engine speed under coldstart conditions, resulting in reduced
exhaust flow that assists other
aftertreatment thermal management
technologies (e.g., electric heater). In
this case, normalized speeds will
generate reference speeds above this
engine speed derate. Control the
dynamometer so it gives priority to
follow the reference speed, controlling
the operator demand so it gives priority
to follow reference torque. You may do
one of the following, as specified, when
using engine derate devices:
(A) While running an engine where
the ECM broadcasts engine derate speed
that is below the denormalized speed,
use the broadcast speed as the reference
speed. Use these new reference points
for duty-cycle validation. This does not
affect how you determine denormalized
reference torque in paragraph (b)(2) of
this section.
(B) If an ECM broadcast signal is not
available, perform one or more practice
cycles to determine the engine derate
speed as a function of cycle time.
Generate the reference cycle as you
normally would but replace any
reference speed that is greater than the
engine derate speed with the engine
derate speed. This does not affect how
you determine denormalized reference
torque in paragraph (b)(2) of this
section.
(2) Engine torque for variable-speed
engines. For variable-speed engines,
normalized torque is expressed as a
percentage of the mapped torque at the
corresponding reference speed. Section
1065.610 describes how to transform
normalized torques into a sequence of
reference torques, Tref. Section 1065.610
also describes special requirements for
modifying transient duty cycles for
variable-speed engines intended
primarily for propulsion of a vehicle
with an automatic or manual
transmission. Section 1065.610 also
describes under what conditions you
may command Tref greater than the
reference torque you calculated from a
normalized duty cycle, which permits
you to command Tref values that are
limited by a declared minimum torque.
For any negative torque commands,
command minimum operator demand
and use the dynamometer to control
engine speed to the reference speed, but
if reference speed is so low that the idle
governor activates, we recommend
using the dynamometer to control
torque to zero, CITT, or a declared
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minimum torque as appropriate. Note
that you may omit power and torque
points during motoring from the cyclevalidation criteria in § 1065.514. Also,
use the maximum mapped torque at the
minimum mapped speed as the
maximum torque for any reference
speed at or below the minimum mapped
speed.
*
*
*
*
*
■ 119. Amend § 1065.530 by revising
paragraphs (b)(4), (9), and (11) to read as
follows:
§ 1065.530
Emission test sequence.
*
*
*
*
*
(b) * * *
(4) Pre-heat or pre-cool heat
exchangers in the sampling system to
within their operating temperature
tolerances for a test interval.
*
*
*
*
*
(9) Select gas analyzer ranges. You
may automatically or manually switch
gas analyzer ranges during a test interval
only if switching is performed by
changing the span over which the
digital resolution of the instrument is
applied. During a test interval you may
not switch the gains of an analyzer’s
analog operational amplifier(s).
*
*
*
*
*
(11) We recommend that you verify
gas analyzer responses after zeroing and
spanning by sampling a calibration gas
that has a concentration near one-half of
the span gas concentration. Based on the
results and good engineering judgment,
you may decide whether or not to rezero, re-span, or re-calibrate a gas
analyzer before starting a test interval.
*
*
*
*
*
■ 120. Amend § 1065.601 by revising
paragraph (c)(1)(i) and removing and
reserving paragraph (c)(1)(ii) to read as
follows:
§ 1065.601
Overview.
*
*
*
*
*
(c) * * *
(1) * * *
(i) ISO 8178–4 Section 9.1.6, NOX
Correction for Humidity and
Temperature. See § 1065.670 for
approved methods for humidity
corrections.
(ii) [Reserved].
*
*
*
*
*
■ 121. Amend § 1065.602 by adding
paragraph (m) to read as follows:
§ 1065.602
Statistics.
*
*
*
*
*
(m) Median. Determine median, M, as
described in this paragraph (m). Arrange
the data points in the data set in
increasing order where the smallest
value is ranked 1, the second-smallest
value is ranked 2, etc.
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Where:
i = an indexing variable that represents the
rank of the data point whose value is the
median.
N = the number of data points in the set.
Example:
122. Amend § 1065.655 by revising
the section heading and paragraphs (a),
■
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§ 1065.656 Chemical balances of fuels
other than carbon-containing fuel, DEF,
intake air, and exhaust.
(a) General. Chemical balances of fuel,
DEF, intake air, and exhaust may be
used to calculate flows, the amount of
water in their flows, and the wet
concentration of constituents in their
flows. Use the chemical balance
calculations in this section for fuels
other than carbon-containing fuels. For
carbon-containing fuels, use the
chemical balance calculations in section
§ 1065.655, including any dual-fuels or
flexible-fuels where one of the fuels
contains carbon. With one flow rate of
either fuel, intake air, or exhaust, you
may use chemical balances to determine
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EP27AP23.080
(2) For odd numbers of data points,
determine the rank of the data point
whose value is the median and the
corresponding median value as follows:
EP27AP23.079
Example:
(a) General. Chemical balances of fuel,
intake air, and exhaust may be used to
calculate flows, the amount of water in
their flows, and the wet concentration of
constituents in their flows. Use the
chemical balance calculations in this
section for carbon-containing fuels. For
fuels other than carbon-containing fuels
use the chemical balance calculations of
section § 1065.656. With one flow rate
of either fuel, intake air, or exhaust, you
may use chemical balances to determine
the flows of the other two. For example,
you may use chemical balances along
with either intake air or fuel flow to
determine raw exhaust flow. Note that
chemical balance calculations allow
measured values for the flow rate of
diesel exhaust fluid for engines with
urea-based selective catalytic reduction.
(b) * * *
(4) The amount of water in a raw or
diluted exhaust flow, cH2Oexh, when you
do not measure the amount of water to
correct for the amount of water removed
by a sampling system. Note that you
may not use the FTIR based water
measurement method in § 1065.257 to
determine cH2Oexh. Correct for removed
water according to § 1065.659.
*
*
*
*
*
(e) * * *
(4) Calculate a, b, g, and d as
described in this paragraph (e)(4). If
your fuel mixture contains fuels other
than carbon-containing fuel, calculate
those fuels’ mass fractions wH, wC, wO,
and wN as described in § 1065.656(d)
and set the fuels’ mass fraction wS to
zero. Calculate a, b, g, and d using the
following equations:
*
*
*
*
*
■ 123. Add § 1065.656 to read as
follows:
EP27AP23.078
(ii) Determine the median as the
average of the data point i and the data
point i + 1 as follows:
§ 1065.655 Chemical balances of carboncontaining fuel, DEF, intake air, and
exhaust.
the flows of the other two. For example,
you may use chemical balances along
with either intake air or fuel flow to
determine raw exhaust flow. Note that
chemical balance calculations allow
measured values for the flow rate of
diesel exhaust fluid for engines with
urea-based selective catalytic reduction.
(b) Procedures that require chemical
balances. We require chemical balances
when you determine the following:
(1) A value proportional to total work,
˜ when you choose to determine brakeW
specific emissions as described in
§ 1065.650(f).
(2) Raw exhaust molar flow rate either
from measured intake air molar flow
rate or from fuel mass flow rate as
described in paragraph (f) of this
section.
(3) Raw exhaust molar flow rate from
measured intake air molar flow rate and
dilute exhaust molar flow rate as
described in paragraph (g) of this
section.
(4) The amount of water in a raw or
diluted exhaust flow, cH2Oexh, when you
do not measure the amount of water to
correct for the amount of water removed
by a sampling system. Correct for
removed water according to § 1065.659.
(5) The calculated total dilution air
flow when you do not measure dilution
air flow to correct for background
emissions as described in § 1065.667(c)
and (d).
(c) Chemical balance procedure. The
calculations for a chemical balance
involve a system of equations that
require iteration. We recommend using
a computer to solve this system of
equations. You must guess the initial
values of two of the following
quantities: the amount of water in the
measured flow, cH2Oexhdry, the amount of
hydrogen in the measured flow,
cH2exhdry, the fraction of dilution air in
diluted exhaust, cdil/exhdry, and the
amount of intake air required to produce
actual combustion products per mole of
dry exhaust, cint/exhdry. You may use
time-weighted mean values of intake air
humidity and dilution air humidity in
the chemical balance; as long as your
intake air and dilution air humidities
remain within tolerances of ±0.0025
mol/mol of their respective mean values
over the test interval. For each emission
concentration, c, and amount of water,
cH2Oexh, you must determine their
completely dry concentrations, cdry and
cH2Oexhdry. You must also use your fuel
mixture’s atomic carbon-to-hydrogen
ratio, t, oxygen-to-hydrogen ratio, f, and
nitrogen-to-hydrogen ratio, w; you may
optionally account for diesel exhaust
fluid (or other fluids injected into the
exhaust), if applicable. You may
calculate t, f, and w based on measured
EP27AP23.077
Where:
i = an indexing variable that represents the
rank of the data point whose value is
used to determine the median.
N = the number of data points in the set.
Example:
(b)(4), and (e)(4) introductory text to
read as follows:
EP27AP23.076
(1) For even numbers of data points:
(i) Determine the rank of the data
point whose value is used to determine
the median as follows:
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fuel composition or based on measured
fuel and diesel exhaust fluid (or other
fluids injected into the exhaust)
composition together, as described in
paragraph (e) of this section. You may
alternatively use any combination of
default values and measured values as
described in paragraph (e) of this
section. Use the following steps to
complete a chemical balance:
(1) Convert your measured
concentrations such as, cH2Omeas, cO2meas,
cH2meas, cNOmeas, cNO2meas, cNH3meas, and
cH2Oint, to dry concentrations by
dividing them by one minus the amount
of water present during their respective
measurements; for example: cH2Omeas,
cH2OxO2meas, cH2OxNOmeas, and cH2Oint. If
the amount of water present during a
‘‘wet’’ measurement is the same as an
unknown amount of water in the
exhaust flow, cH2Oexh, iteratively solve
for that value in the system of equations.
If you measure only total NOX and not
NO and NO2 separately, use good
engineering judgment to estimate a split
in your total NOX concentration
between NO and NO2 for the chemical
balances. For example, if you measure
emissions from a stoichiometric
combustion engine, you may assume all
NOX is NO. For a lean-burn combustion
engine, you may assume that your molar
concentration of NOX, cNOX, is 75% NO
and 25% NO2. For NO2 storage
aftertreatment systems, you may assume
cNOX is 25% NO and 75% NO2. Note
that for calculating the mass of NOX
emissions, you must use the molar mass
of NO2 for the effective molar mass of
all NOX species, regardless of the actual
NO2 fraction of NOX.
(2) Enter the equations in paragraph
(c)(4) of this section into a computer
program to iteratively solve for
cH2Oexhdry, cH2exhdry, cdil/exhdry, and
cint/exhdry. Use good engineering
judgment to guess initial values for
cH2Oexhdry, cH2exhdry, cdil/exhdry, and
cint/exhdry. We recommend guessing an
initial amount of water that is about
twice the amount of water in your
intake or dilution air. We recommend
guessing an initial amount of hydrogen
of 0 mol/mol. We recommend guessing
an initial cint/exhdry of 1 mol/mol. We also
recommend guessing an initial, cdil/exhdry
of 0.8 mol/mol. Iterate values in the
system of equations until the most
recently updated guesses are all within
±1% or ±1 mmol/mol, whichever is
larger, of their respective most recently
calculated values.
(3) Use the following symbols and
subscripts in the equations for
performing the chemical balance
calculations in this paragraph (c):
TABLE 1 OF § 1065.656—SYMBOLS AND SUBSCRIPTS FOR CHEMICAL BALANCE EQUATIONS
c[emission]meas ........................
c[emission]exh ..........................
c[emission]exhdry ......................
cH2O[emission]meas ..................
cdil/exh ...................................
cdil/exhdry ...............................
cHcombdry ...............................
cint/exhdry ...............................
craw/exhdry ..............................
cCO2int ...................................
cCO2intdry ...............................
cH2Oint ...................................
cH2Ointdry ...............................
cO2int .....................................
cCO2dil ...................................
cCO2dildry ...............................
cH2Odil ...................................
cH2Odildry ...............................
τ ............................................
φ ............................................
ω ...........................................
Amount of measured emission in the sample at the respective gas analyzer.
Amount of emission per dry mole of exhaust.
Amount of emission per dry mole of dry exhaust.
Amount of H2O in sample at emission-detection location; measure or estimate these values according to
§ 1065.145(e)(2).
Amount of dilution gas or excess air per mole of exhaust.
amount of dilution gas and/or excess air per mole of dry exhaust.
Amount of hydrogen from fuel and any injected fluids in the exhaust per mole of dry exhaust.
Amount of intake air required to produce actual combustion products per mole of dry (raw or diluted) exhaust.
Amount of undiluted exhaust, without excess air, per mole of dry (raw or diluted) exhaust.
Amount of intake air CO2 per mole of intake air.
amount of intake air CO2 per mole of dry intake air; you may use xCO2intdry = 375 μmol/mol, but we recommend
measuring the actual concentration in the intake air.
Amount of H2O in the intake air, based on a humidity measurement of intake air.
Amount of intake air H2O per mole of dry intake air.
Amount of intake air O2 per mole of intake air.
Amount of dilution gas CO2 per mole of dilution gas.
Amount of dilution gas CO2 per mole of dry dilution gas; if you use air as diluent, you may use xCO2dildry = 375
μmol/mol, but we recommend measuring the actual concentration in the dilution gas.
Amount of dilution gas H2O per mole of dilution gas.
Amount of dilution gas H2O per mole of dry dilution gas.
Atomic carbon-to-hydrogen ratio of the fuel (or mixture of test fuels) and any injected fluids.
Atomic oxygen-to-hydrogen ratio of the fuel (or mixture of test fuels) and any injected fluids.
Atomic nitrogen-to-hydrogen ratio of the fuel (or mixture of test fuels) and any injected fluids.
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(4) Use the equations specified in this
section to iteratively solve for cint/exhdry,
cdil/exhdry, cH2exhdry, and cH2Oexhdry. For
some quantities multiple equations are
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provided. The calculation of xO2exhdry
is only required when xO2meas is
measured. The calculation of cNH3exhdry
is only required for engines that use
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(5) Depending on your measurements,
use the equations and guess the
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quantities specified in Table 2 of this
section:
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When measuring
Guess
Calculate
(i) cO2meas and cH2Omeas ................
cint/exhdry and cH2exhdry ..................
(ii) cO2meas and cH2meas ..................
cint/exhdry and cH2Oexhdry ................
(iii) cH2Omeas and cH2meas ...............
cint/exhdry and cdil/exhdry ..................
(A) cH2exhdry using Eq. 1065.656–4
(B) cH2Oexhdry using Eq. 1065.656–6
(C) cHcombdry using Eq. 1065.656–8
(D) cO2exhdry using Eq. 1065.656–14
(E) craw/exhdry using Eq. 1065.656–15
(A) cH2exhdry using Eq. 1065.656–3
(B) cH2Oexhdry using Eq. 1065.656–7
(C) cHcombdry using Eq. 1065.656–9
(D) cO2exhdry using Eq. 1065.656–14
(E) craw/exhdry using Eq. 1065.656–15
(A) cH2exhdry using Eq. 1065.656–3
(B) cH2Oexhdry using Eq. 1065.656–6
(C) cHcombdry using Eq. 1065.656–8
(D) craw/exhdry using Eq. 1065.656–16
(d) Mass fractions of fuel. Determine
the mass fractions of fuel, wH, wC, wO,
and wN, based on the fuel properties as
determined in paragraph (e) of this
section, optionally accounting for diesel
exhaust fluid’s contribution to t, f, and
w, or other fluids injected into the
exhaust, if applicable (for example, the
engine is equipped with an emission
control system that utilizes DEF).
Calculate wH, wC, wO, and N using the
following equations:
Where:
wH = hydrogen mass fraction of the fuel (or
mixture of test fuels) and any injected
fluids.
wC = carbon mass fraction of the fuel (or
mixture of test fuels) and any injected
fluids.
wO = oxygen mass fraction of the fuel (or
mixture of test fuels) and any injected
fluids.
wN = nitrogen mass fraction of the fuel (or
mixture of test fuels) and any injected
fluids.
MH = molar mass of hydrogen.
t = atomic carbon-to- hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
MC = molar mass of carbon.
f = atomic oxygen-to-hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
MO = molar mass of oxygen.
w = atomic sulfur-to-hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
MN = molar mass of nitrogen.
(1) For fuel and diesel exhaust fluid,
use the default values for t, f, and w in
Table 3 of this section, or use good
engineering judgment to determine
those values based on measurement.
(2) For nonconstant fuel mixtures, you
must account for the varying
proportions of the different fuels. This
paragraph (e)(2) generally applies for
dual-fuel and flexible-fuel engines, but
it also applies if diesel exhaust fluid is
injected in a way that is not strictly
proportional to fuel flow. Account for
these varying concentrations either with
a batch measurement that provides
averaged values to represent the test
interval, or by analyzing data from
continuous mass rate measurements.
Application of average values from a
batch measurement generally applies to
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(e) Fuel and diesel exhaust fluid
composition. Determine fuel and diesel
exhaust fluid composition represented
by t, f, and w, as described in this
paragraph (e). When using measured
fuel or diesel exhaust fluid properties,
you must determine values for t, f, and
w in all cases. If you determine
compositions based on measured values
and the default value listed in Table 3
of this section is zero, you may set t, f,
and w to zero; otherwise determine t, f,
and w based on measured values.
Determine elemental mass fractions and
values for t, f, and w as follows:
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TABLE 2 OF § 1065.656—CHEMICAL BALANCE EQUATIONS FOR DIFFERENT MEASUREMENTS
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interval duration to determine a mass
rate.
wHj = hydrogen mass fraction of fuel or any
injected fluid j.
wCj = carbon mass fraction of fuel or any
injected fluid j.
wOj = oxygen mass fraction of fuel or any
injected fluid j.
wNj = nitrogen mass fraction of fuel or any
injected fluid j.
situations where one fluid is a minor
component of the total fuel mixture;
consistent with good engineering
judgment.
(4) Calculate t, j and w using the
following equations;
(4) Table 3 follows:
TABLE 3 OF § 1065.656–DEFAULT
VALUES OF t, f, AND w
Fuel or injected fluid
Hydrogen ...................
Ammonia ...................
Diesel exhaust fluid ...
Atomic carbon, oxygen, and nitrogen-tohydrogen ratios
HCtOfNw
HC0O0N0
HC0O0N0.333
HC0.056O0.444N0.112
(f) Calculated raw exhaust molar flow
rate from measured intake air molar
flow rate or fuel mass flow rate. You
may calculate the raw exhaust molar
flow rate from which you sampled
emissions, n˙exh, based on the measured
intake air molar flow rate, n˙int, or the
˙ fuel, and
measured fuel mass flow rate, m
the values calculated using the chemical
balance in paragraph (c) of this section.
Where:
n˙exh = raw exhaust molar flow rate from
which you measured emissions.
n˙int = intake air molar flow rate including
humidity in intake air.
Example:
(3) Fluid mass flow rate calculation.
This calculation may be used only for
steady-state laboratory testing. See
§ 1065.915(d)(5)(iv) for application to
EP27AP23.089
EP27AP23.088
˙j
field testing. Calculate n˙exh based on m
using the following equation:
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Where:
N = total number of fuels and injected fluids
over the duty cycle.
j = an indexing variable that represents one
fuel or injected fluid, starting with j = 1.
˙ j = the mass flow rate of the fuel or any
m
injected fluid j. For applications using a
single fuel and no DEF fluid, set this
value to 1. For batch measurements,
divide the total mass of fuel over the test
The chemical balance must be based on
raw exhaust gas concentrations. Solve
for the chemical balance in paragraph
(c) of this section at the same frequency
˙ fuel.
that you update and record n˙int or m
For laboratory tests, calculating raw
exhaust molar flow rate using measured
fuel mass flow rate is valid only for
steady-state testing. See
§ 1065.915(d)(5)(iv) for application to
field testing.
(1) Crankcase flow rate. If engines are
not subject to crankcase controls under
the standard-setting part, you may
calculate raw exhaust flow based on n˙int
˙ fuel using one of the following:
or m
(i) You may measure flow rate
through the crankcase vent and subtract
it from the calculated exhaust flow.
(ii) You may estimate flow rate
through the crankcase vent by
engineering analysis as long as the
uncertainty in your calculation does not
adversely affect your ability to show
that your engines comply with
applicable emission standards.
(iii) You may assume your crankcase
vent flow rate is zero.
(2) Intake air molar flow rate
calculation. Calculate n˙exh based on n˙int
using the following equation:
N = total number of fuels and injected fluids
over the duty cycle.
˙ j = the mass flow rate of the fuel or any
m
injected fluid j.
wHf = hydrogen mass fraction of the fuel and
any injected fluid j.
Example:
(g) Calculated raw exhaust molar flow
rate from measured intake air molar
flow rate, dilute exhaust molar flow
rate, and dilute chemical balance. You
may calculate the raw exhaust molar
flow rate, n˙exh, based on the measured
intake air molar flow rate, n˙int, the
measured dilute exhaust molar flow
rate, n˙dexh, and the values calculated
using the chemical balance in paragraph
(c) of this section. Note that the
chemical balance must be based on
dilute exhaust gas concentrations. For
continuous-flow calculations, solve for
the chemical balance in paragraph (c) of
this section at the same frequency that
you update and record n˙int and n˙dexh.
This calculated n˙dexh may be used for
the PM dilution ratio verification in
§ 1065.546; the calculation of dilution
air molar flow rate in the background
correction in § 1065.667; and the
calculation of mass of emissions in
§ 1065.650(c) for species that are
measured in the raw exhaust.
(1) Crankcase flow rate. If engines are
not subject to crankcase controls under
the standard-setting part, calculate raw
exhaust flow as described in paragraph
(f)(1) of this section.
(2) Dilute exhaust and intake air
molar flow rate calculation. Calculate
n˙exh as follows:
Example:
n˙int = 7.930 mol/s
craw/exhdry = 0.1544 mol/mol
cint/exhdry = 0.1451 mol/mol
cH2Oexh = 32.46 mmol/mol = 0.03246 mol/mol
n˙dexh = 49.02 mol/s
n˙exh = (0.1544 ¥0.1451) · (1 ¥ 0.03246) ·
49.02 + 7.930 = 0.4411 + 7.930 = 8.371
mol/s
§ 1065.660 THC, NMHC, NMNEHC, CH4,
and C2H6 determination.
to-wet corrected THC concentration,
cTHC[THC–FID]cor, as determined in
paragraph (a) of this section, and the
dry-to-wet corrected CH4 concentration,
cTHC[NMC–FID]cor, optionally corrected for
initial THC contamination as
determined in paragraph (a) of this
section.
(i) Use the following equation for an
NMC configured as described in
§ 1065.365(d):
124. Amend § 1065.660 by revising
paragraphs (b)(2) and (3) introductory
text, (c)(1)(ii) and (2) introductory text,
(d), and (e) to read as follows:
*
*
*
*
(b) * * *
(2) For a nonmethane cutter (NMC),
calculate cNMHC using the NMC’s
penetration fractions, response factors,
and/or combined penetration fractions
and response factors as described in
§ 1065.365, the THC FID’s CH4 response
factor, RFCH4[THC–FID], from § 1065.360,
the initial THC contamination and dry-
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*
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Where:
n˙exh = raw exhaust molar flow rate from
which you measured emissions.
j = an indexing variable that represents one
fuel or injected fluid, starting with j = 1.
■
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Where:
cNMHC = concentration of NMHC.
cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
NMC FID during sampling through the
NMC.
RFCH4[THC–FID] = response factor of THC FID
to CH4, according to § 1065.360(d).
(ii) Use the following equation for
penetration fractions determined using
an NMC configuration as outlined in
§ 1065.365(e):
Where:
cNMHC = concentration of NMHC.
cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
PFCH4[NMC–FID] = NMC CH4 penetration
fraction, according to § 1065.365(e).
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
THC FID during sampling through the
NMC.
PFC2H6[NMC–FID] = NMC C2H6 penetration
fraction, according to § 1065.365(e).
Example:
(iii) Use the following equation for an
NMC configured as described in
§ 1065.365(f)§ :
Where:
cNMHC = concentration of NMHC.
cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
PFCH4[NMC–FID] = NMC CH4 penetration
fraction, according to § 1065.365(f).
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
THC FID during sampling through the
NMC.
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RFPFC2H6[NMC–FID] = NMC combined C2H6
response factor and penetration fraction,
according to § 1065.365(d).
RFPFCH4[NMC–FID] = NMC combined CH4
response factor and penetration fraction,
according to § 1065.365(d).
Example:
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RFPFC2H6[NMC–FID] = NMC combined C2H6
response factor and penetration fraction,
according to § 1065.365(f).
RFCH4[THC–FID] = response factor of THC FID
to CH4, according to § 1065.360(d).
Example:
(3) For a GC–FID or FTIR, calculate
xNMHC using the THC analyzer’s CH4
response factor, RFCH4[THC–FID], from
§ 1065.360, and the initial THC
contamination and dry-to-wet corrected
THC concentration, cTHC[THC–FID]cor, as
determined in paragraph (a) of this
section as follows:
*
*
*
*
*
(c) * * *
(1) * * *
(ii) If the content of your fuel test
contains at least 0.010 mol/mol of C2H6,
you may omit the calculation of
NMNEHC concentration and calculate
the mass of NMNEHC as described in
§ 1065.650(c)(6)(ii).
(2) For a GC–FID, NMC FID, or FTIR,
calculate cNMNEHC using the THC
analyzer’s CH4 response factor,
RFCH4[THC–FID], and C2H6 response
factor, RFC2H6[THC–FID], from § 1065.360,
the initial contamination and dry-to-wet
corrected THC concentration,
cTHC[THC–FID]cor, as determined in
paragraph (a) of this section, the dry-towet corrected CH4 concentration, cCH4,
as determined in paragraph (d) of this
section, and the dry-to-wet corrected
C2H6 concentration, cC2H6, as
determined in paragraph (e) of this
section as follows:
*
*
*
*
*
(d) CH4 determination. Use one of the
following methods to determine
methane (CH4) concentration, cCH4:
(1) For a nonmethane cutter (NMC),
calculate cCH4 using the NMC’s
penetration fractions, response factors,
and/or combined penetration fractions
and response factors as described in
§ 1065.365, the THC FID’s CH4 response
factor, RFCH4[THC–FID], from § 1065.360,
the initial THC contamination and dryto-wet corrected THC concentration,
cTHC[THC–FID]cor, as determined in
paragraph (a) of this section, and the
dry-to-wet corrected CH4 concentration,
cTHC[NMC–FID]cor, optionally corrected for
initial THC contamination as
determined in paragraph (a) of this
section.
Where:
cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
RFPFC2H6[NMC–FID] = NMC combined C2H6
response factor and penetration fraction,
according to § 1065.365(d).
RFCH4[THC–FID] = response factor of THC FID
to CH4, according to § 1065.360(d).
RFPFCH4[NMC–FID] = NMC combined CH4
response factor and penetration fraction,
according to § 1065.365(d).
(i) Use the following equation for an
NMC configured as described in
§ 1065.365(d):
Example:
(ii) Use the following equation for an
NMC configured as described in
§ 1065.365(e):
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cCH4 = concentration of CH4.
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
NMC FID during sampling through the
NMC.
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cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
PFC2H6[NMC–FID] = NMC C2H6 penetration
fraction, according to § 1065.365(e).
RFCH4[THC–FID] = response factor of THC FID
to CH4, according to § 1065.360(d).
PFCH4[NMC–FID] = NMC CH4 penetration
fraction, according to § 1065.365(e).
Example:
Where:
cCH4 = concentration of CH4.
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
NMC FID during sampling through the
NMC.
cTHC[THC–FID]cor = concentration of THC,
initial THC contamination and dry-towet corrected, as measured by the THC
FID during sampling while bypassing the
NMC.
RFPFC2H6[NMC–FID] = the combined C2H6
response factor and penetration fraction
of the NMC, according to § 1065.365(f).
PFCH4[NMC–FID] = NMC CH4 penetration
fraction, according to § 1065.365(f).
RFCH4[THC–FID] = response factor of THC FID
to CH4, according to § 1065.360(d).
Example:
(2) For a GC–FID or FTIR, cCH4 is the
actual dry-to-wet corrected CH4
concentration as measured by the
analyzer.
(e) C2H6 determination. For a GC–FID
or FTIR, cC2H6 is the C1-equivalent, dryto-wet corrected C2H6 concentration as
measured by the analyzer.
■
125. Amend § 1065.670 by revising
paragraphs (a) introductory text and (b)
introductory text to read as follows:
operating on fuels other than carboncontaining fuels, correct for intake-air
humidity using the following equation:
*
*
*
*
*
(b) For spark-ignition engines
operating on carbon-containing fuels
and stoichiometric combustion engines
operating on fuels other than carbon-
Where:
cCH4 = concentration of CH4.
cTHC[NMC–FID]cor = concentration of THC,
initial THC contamination (optional) and
dry-to-wet corrected, as measured by the
NMC FID during sampling through the
NMC.
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*
*
*
*
*
(a) For compression-ignition engines
operating on carbon-containing fuels
and lean-burn combustion engines
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EP27AP23.103
§ 1065.670 NOX intake-air humidity and
temperature corrections.
EP27AP23.102
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EP27AP23.105
(iii) Use the following equation for an
NMC configured as described in
§ 1065.365(f):
26157
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containing fuels, correct for intake-air
humidity using the following equation:
*
*
*
*
*
126. Amend § 1065.750 by revising
paragraph (a)(1)(ii) and adding
paragraph (a)(6) to read as follows:
■
§ 1065.750
Analytical gases.
*
*
*
*
(a) * * *
(1) * * *
(ii) Contamination as specified in the
following table:
*
TABLE 1 OF § 1065.750—GENERAL SPECIFICATIONS FOR PURIFIED GASES a
Constituent
Purified air
Purified N2
THC (C1-equivalent) .........................................................
CO .....................................................................................
CO2 ...................................................................................
O2 ......................................................................................
NOX ...................................................................................
N2O b .................................................................................
H2 c ....................................................................................
NH3 d .................................................................................
H2O e .................................................................................
≤0.05 μmol/mol ................................................................
≤1 μmol/mol .....................................................................
≤10 μmol/mol ...................................................................
0.205 to 0.215 mol/mol ...................................................
≤0.02 μmol/mol ................................................................
≤0.02 μmol/mol ................................................................
≤1 μmol/mol .....................................................................
≤1 μmol/mol .....................................................................
≤5 μmol/mol .....................................................................
≤0.05 μmol/mol
≤1 μmol/mol
≤10 μmol/mol
≤2 μmol/mol
≤0.02 μmol/mol
≤0.02 μmol/mol
≤1 μmol/mol
≤1 μmol/mol
≤5 μmol/mol
a We
do not require these levels of purity to be NIST-traceable.
N2O limit applies only if the standard-setting part requires you to report N2O or certify to an N2O standard.
c The H limit only applies for testing with H fuel.
2
2
d The NH limit only applies for testing with NH fuel.
3
3
e The H O limit only applies for water measurement according to § 1065.257.
2
b The
before verifying the H2O measurement
of the FTIR, and after major
maintenance. Use the uncertainties from
the calibration of the humidity
generator’s measurements and follow
NIST Technical Note 1297 (incorporated
by reference, see § 1065.1010) to verify
that the amount of H2O in the
calibration gas, cH2Oref, is determined
within ±3% uncertainty, UxH2O. If the
humidity generator requires assembly
before use, after assembly follow the
instrument manufacturer’s instructions
to check for leaks. You may generate the
H2O calibration gas using one of the
following options:
(i) Bubble gas that meets the
requirements of paragraph (a)(1) of this
section through distilled H2O in a sealed
vessel. Adjust the amount of H2O in the
calibration gas by changing the
temperature of the H2O in the sealed
vessel. Determine absolute pressure,
pabs, and dewpoint, Tdew, of the
humidified gas leaving the sealed
vessel. Calculate the amount of H2O in
the calibration gas as described in
§ 1065.645(a) and (b). Calculate the
uncertainty of the amount of H2O in the
calibration gas, UxH2O, using the
following equations:
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EP27AP23.106
EP27AP23.107
EP27AP23.108
*
*
*
*
(6) If you measure H2O using an FTIR
analyzer, generate H2O calibration gases
with a humidity generator using one of
the options in this paragraph (a)(6). Use
good engineering judgment to prevent
condensation in the transfer lines,
fittings, or valves from the humidity
generator to the FTIR analyzer. Design
your system so the wall temperatures in
the transfer lines, fittings, and valves
from the point where the mole fraction
of H2O in the humidified calibration
gas, cH2Oref, is measured to the analyzer
are at a temperature of (110 to 202) °C.
Calibrate the humidity generator upon
initial installation, within 370 days
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Where:
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this section. Determine the molar flows
of gas and H2O that are mixed to
generate the calibration gas.
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(A) Calculate the amount of H2O in
the calibration gas as follows:
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.110
(ii) Use a device that introduces a
measured flow of distilled H2O as vapor
into a measured flow of gas that meets
the requirements of paragraph (a)(1) of
EP27AP23.109
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Example:
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
(B) Calculate the uncertainty of the
amount of H2O in the generated
26159
calibration gas, UxH2O, using the
following equations:
EP27AP23.115
EP27AP23.112
EP27AP23.114
(C) The following example is a
solution for UxH2O using the equations in
paragraph (c)(6)(B) of this section:
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Where:
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*
*
*
*
*
127. Amend § 1065.1001 by:
■ a. Adding definitions of ‘‘Carboncontaining fuel’’, ‘‘Lean-burn engine’’,
and ‘‘Neat’’ in alphabetical order; and
■ b. Revising the definition for
‘‘Rechargeable Energy Storage System
(RESS)’’.
■
The additions and revisions read as
follows:
§ 1065.1001
Definitions.
*
*
*
*
*
Carbon-containing fuel means an
engine fuel that is characterized by
compounds containing carbon. For
example, gasoline, diesel, alcohol,
liquefied petroleum gas, and natural gas
are carbon-containing fuels.
*
*
*
*
*
Lean-burn engine means an engine
with a nominal air fuel ratio
substantially leaner than stoichiometric.
For example, diesel-fueled engines are
typically lean-burn engines, and
gasoline-fueled engines are lean-burn
engines if they have an air-to-fuel mass
ratio above 14.7:1.
*
*
*
*
*
Neat means fuel that is free from
mixture or dilution with other fuels. For
example, hydrogen or natural gas fuel
used without diesel pilot fuel are neat.
*
*
*
*
*
Rechargeable Energy Storage System
(RESS) means engine or equipment
components that store recovered energy
for later use to propel the vehicle or
accomplish a different primary function.
Examples of RESS include the battery
system or a hydraulic accumulator in a
hybrid vehicle.
*
*
*
*
*
■ 128. Amend § 1065.1005 by revising
the entry for MNMNEHC in Table 7 of
paragraph (f)(2) to read as follows:
§ 1065.1005 Symbols, abbreviations,
acronyms, and units of measure.
*
*
*
(f) * * *
(2) * * *
*
*
TABLE 7 OF § 1065.1005—MOLAR MASSES
*
*
*
*
*
effective C1 molar mass of nonmethane nonethane hydrocarbonb .....................................................
*
*
*
*
*
*
*
■ 129. Amend § 1065.1010 by revising
paragraphs (a)(40) and (e)(2) to read as
follows:
§ 1065.1010
*
*
*
(a) * * *
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Incorporation by reference.
*
*
02:07 Apr 27, 2023
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*
*
(40) ASTM D6348–12e1, Standard
Test Method for Determination of
Gaseous Compounds by Extractive
Direct Interface Fourier Transform
Infrared (FTIR) Spectroscopy, approved
February 1, 2012 (‘‘ASTM D6348’’), IBR
approved for §§ 1065.257(a),
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*
*
13.875389
*
1065.266(b), 1065.275(b), and
1065.277(b).
*
*
*
*
*
(e) * * *
(2) NIST Technical Note 1297, 1994
Edition, Guidelines for Evaluating and
Expressing the Uncertainty of NIST
Measurement Results, IBR approved for
E:\FR\FM\27APP2.SGM
27APP2
EP27AP23.118
*
MNMNEHC ........................
EP27AP23.117
Quantity
*
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g/mol
(10¥3·kg·mol¥1)
Symbol
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 / Proposed Rules
§§ 1065.365(g), 1065.750(a), and
1065.1001.
133. Amend § 1074.101 by revising
paragraph (a) to read as follows:
■
130. The authority citation for part
1074 continues to read as follows:
Authority: 42 U.S.C. 7401–7671q.
■ 131. Amend § 1074.10 by revising
paragraph (b) and adding paragraph (c)
to read as follows:
(b) States and localities are preempted
from adopting or enforcing standards or
other requirements relating to the
control of emissions from new
locomotives and new engines used in
locomotives.
(c) For nonroad engines or vehicles
other than those described in paragraph
(a) and (b) of this section, States and
localities are preempted from enforcing
any standards or other requirements
relating to control of emissions from
nonroad engines or vehicles except as
provided in subpart B of this part.
§ 1074.10
§ 1074.12
[FR Doc. 2023–07955 Filed 4–24–23; 8:45 am]
PART 1074—PREEMPTION OF STATE
STANDARDS AND PROCEDURES FOR
WAIVER OF FEDERAL PREEMPTION
FOR NONROAD ENGINES AND
NONROAD VEHICLES
■
*
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*
Scope of preemption.
*
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*
*
23:53 Apr 26, 2023
■
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[Removed]
132. Remove § 1074.12.
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§ 1074.101 Procedures for California
nonroad authorization requests.
(a) California must request
authorization from the Administrator to
enforce its adopted standards and other
requirements relating to control of
emissions from nonroad engines or
vehicles that are not preempted by
§ 1074.10(a) or (b). The request must
include the record on which the state
rulemaking was based.
*
*
*
*
*
BILLING CODE 6560–50–P
E:\FR\FM\27APP2.SGM
27APP2
Agencies
[Federal Register Volume 88, Number 81 (Thursday, April 27, 2023)]
[Proposed Rules]
[Pages 25926-26161]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2023-07955]
[[Page 25925]]
Vol. 88
Thursday,
No. 81
April 27, 2023
Part III
Environmental Protection Agency
-----------------------------------------------------------------------
40 CFR Parts 1036, 1037, et al.
Greenhouse Gas Emissions Standards for Heavy-Duty Vehicles--Phase 3;
Proposed Rule
Federal Register / Vol. 88, No. 81 / Thursday, April 27, 2023 /
Proposed Rules
[[Page 25926]]
-----------------------------------------------------------------------
ENVIRONMENTAL PROTECTION AGENCY
40 CFR Parts 1036, 1037, 1054, 1065, and 1074
[EPA-HQ-OAR-2022-0985; FRL-8952-01-OAR]
RIN 2060-AV50
Greenhouse Gas Emissions Standards for Heavy-Duty Vehicles--Phase
3
AGENCY: Environmental Protection Agency (EPA).
ACTION: Notice of proposed rulemaking.
-----------------------------------------------------------------------
SUMMARY: The Environmental Protection Agency (EPA) is proposing to
promulgate new GHG standards for heavy-duty highway vehicles starting
in model year (MY) 2028 through MY 2032 and to revise certain GHG
standards for MY 2027 that were established previously under EPA's
Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and
Heavy-Duty Engines and Vehicles--Phase 2 rule (``HD GHG Phase 2'').
This document proposes updates to discrete elements of the Averaging
Banking and Trading program, including a proposal to eliminate the last
MY year of the HD GHG Phase 2 advanced technology incentive program for
certain types of electric highway heavy-duty vehicles. EPA is proposing
to add warranty requirements for batteries and other components of
zero-emission vehicles and to require customer-facing battery state-of-
health monitors for plug-in hybrid and battery electric vehicles. In
this document, we are also proposing additional revisions and
clarifying and editorial amendments to certain highway heavy-duty
vehicle provisions and certain test procedures for heavy-duty engines.
Finally, as part of this action, EPA is proposing to revise its
regulations addressing preemption of state regulation of new
locomotives and new engines used in locomotives.
DATES: Comments must be received on or before June 16, 2023. Comments
on the information collection provisions submitted to the Office of
Management and Budget (OMB) under the Paperwork Reduction Act (PRA) are
best assured of consideration by OMB if OMB receives a copy of your
comments on or before May 30, 2023. Public hearing: EPA will announce
information regarding the public hearing for this proposal in a
supplemental Federal Register document. Please refer to the
SUPPLEMENTARY INFORMATION section for additional information on the
public hearing.
ADDRESSES: You may send comments, identified by Docket ID No. EPA-HQ-
OAR-2022-0985, by any of the following methods:
Federal eRulemaking Portal: https://www.regulations.gov/
(our preferred method). Follow the online instructions for submitting
comments.
Email: [email protected]. Include Docket ID No. EPA-
HQ-OAR-2022-0985 in the subject line of the message.
Mail: U.S. Environmental Protection Agency, EPA Docket
Center, OAR Docket, Mail Code 28221T, 1200 Pennsylvania Avenue NW,
Washington, DC 20460.
Hand Delivery or Courier: EPA Docket Center, WJC West
Building, Room 3334, 1301 Constitution Avenue NW, Washington, DC 20004.
The Docket Center's hours of operations are 8:30 a.m.-4:30 p.m.,
Monday-Friday (except Federal Holidays).
Instructions: All submissions received must include the Docket ID
No. for this rulemaking. Comments received may be posted without change
to https://www.regulations.gov/, including any personal information
provided. For detailed instructions on sending comments and additional
information on the rulemaking process, see the ``Public Participation''
heading of the SUPPLEMENTARY INFORMATION section of this document.
FOR FURTHER INFORMATION CONTACT: Brian Nelson, Assessment and Standards
Division, Office of Transportation and Air Quality, Environmental
Protection Agency, 2000 Traverwood Drive, Ann Arbor, MI 48105;
telephone number: (734) 214-4278; email address: [email protected].
SUPPLEMENTARY INFORMATION:
Public Participation
Written Comments
Submit your comments, identified by Docket ID No. EPA-HQ-OAR-2022-
0985, at https://www.regulations.gov (our preferred method), or the
other methods identified in the ADDRESSES section. Once submitted,
comments cannot be edited or removed from the docket. The EPA may
publish any comment received to its public docket. Do not submit to
EPA's docket at https://www.regulations.gov any information you
consider to be Confidential Business Information (CBI), Proprietary
Business Information (PBI), or other information whose disclosure is
restricted by statute. If you choose to submit CBI or PBI as a comment
to EPA's docket, please send those materials to the person listed in
the FOR FURTHER INFORMATION CONTACT section. Multimedia submissions
(audio, video, etc.) must be accompanied by a written comment. The
written comment is considered the official comment and should include
discussion of all points you wish to make. The EPA will generally not
consider comments or comment contents located outside of the primary
submission (i.e., on the web, cloud, or other file sharing system).
Commenters who would like EPA to further consider in this rulemaking
any relevant comments that they provided on the HD2027 NPRM regarding
proposed HD vehicle GHG standards for the MYs at issue in this proposal
must resubmit those comments to EPA during this proposal's comment
period. Please visit https://www.epa.gov/dockets/commenting-epa-dockets
for additional submission methods; the full EPA public comment policy;
information about CBI, PBI, or multimedia submissions; and general
guidance on making effective comments.
Participation in Virtual Public Hearing
EPA will announce information regarding the public hearing for this
proposal in a supplemental Federal Register document. The hearing
notice, registration information, and any updates to the hearing
schedule will also be available at https://www.epa.gov/regulations-emissions-vehicles-and-engines/proposed-rule-greenhouse-gas-emissions-standards-heavy. Please refer to this website for any updates regarding
the hearings. EPA does not intend to publish additional documents in
the Federal Register announcing updates to the hearing schedule.
Docket: All documents in the docket are listed on the
www.regulations.gov website. Although listed in the index, some
information is not publicly available, e.g., CBI or other information
whose disclosure is restricted by statute. Certain other material, such
as copyrighted material, is not placed on the internet and will be
publicly available only in hard copy form through the EPA Docket Center
at the location listed in the ADDRESSES section of this document.
General Information
Does this action apply to me?
This action relates to companies that manufacture, sell, or import
into the United States new heavy-duty highway vehicles and engines.
This action also relates to state and local governments. Potentially
affected categories and entities include the following:
[[Page 25927]]
------------------------------------------------------------------------
Category NAICS codes \a\ NAICS title
------------------------------------------------------------------------
Industry......................... 336110 Automobile and
Light Duty Motor
Vehicle
Manufacturing.
Industry......................... 336120 Heavy Duty Truck
Manufacturing.
Industry......................... 336211 Motor Vehicle Body
Manufacturing.
Industry......................... 336213 Motor Home
Manufacturing.
Industry......................... 333618 Other Engine
Equipment
Manufacturing.
Industry......................... 811198 All Other
Automotive Repair
and Maintenance.
Government....................... ................ State and local
governments.\b\
------------------------------------------------------------------------
\a\ NAICS Association. NAICS & SIC Identification Tools. Available
online: https://www.naics.com/search.
\b\ It should be noted that the proposed revisions do not impose any
requirements that state and local governments must meet, but rather
implement the Clean Air Act preemption provisions for locomotives.
This table is not intended to be exhaustive, but rather provides a
guide for readers regarding entities potentially affected by this
action. This table lists the types of entities that EPA is now aware
could potentially be affected by this action. Other types of entities
not listed in the table could also be affected. To determine whether
your entity is regulated by this action, you should carefully examine
the applicability criteria found in 40 CFR parts 1036, 1037, 1054,
1065, and 1074.\1\ If you have questions regarding the applicability of
this action to a particular entity, consult the person listed in the
FOR FURTHER INFORMATION CONTACT section.
---------------------------------------------------------------------------
\1\ See 40 CFR 1036.1 through 1036.15 and 40 CFR 1037.1 through
1037.15.
---------------------------------------------------------------------------
What action is the Agency taking?
The Environmental Protection Agency (EPA) is proposing to
promulgate new GHG standards for heavy-duty highway vehicles starting
in model year (MY) 2028 through MY 2032 and to revise certain GHG
standards for MY 2027 that were established previously under EPA's
Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and
Heavy-Duty Engines and Vehicles--Phase 2 rule (``HD GHG Phase 2'') that
we believe are appropriate and feasible considering lead time, costs,
and other factors. EPA also proposes that it is appropriate to
eliminate the last model year (MY 2027) of advanced technology
incentives for certain electric highway heavy-duty vehicles, initially
established under the HD GHG Phase 2 rule. EPA is proposing to add
warranty requirements for batteries and other components of zero-
emission vehicles and to require customer-facing battery state-of-
health monitors for plug-in hybrid and battery electric vehicles. We
are also proposing revisions and clarifying and editorial amendments to
certain highway heavy-duty vehicle provisions of 40 CFR part 1037 and
certain test procedures for heavy-duty engines in 40 CFR parts 1036 and
1065. In addition, in this action EPA is proposing to revise its
regulations addressing preemption of state regulation of new
locomotives and new engines used in locomotives, to more closely align
with language in the Clean Air Act.
What is the Agency's authority for taking this action?
Clean Air Act section 202(a), 42 U.S.C. 7521(a), requires that EPA
establish emission standards for air pollutants from new motor vehicles
or new motor vehicle engines, which, in the Administrator's judgment,
cause or contribute to air pollution that may reasonably be anticipated
to endanger public health or welfare. The Administrator has found that
GHG emissions from highway heavy-duty vehicles and engines cause or
contribute to air pollution that may endanger public health or welfare.
Therefore, the Administrator is exercising his authority under CAA
section 202(a)(1)-(2) to establish standards for GHG emissions from
highway heavy-duty vehicles. In addition, section 209(e)(2)(B) of the
CAA, 42 U.S.C. 7543(e)(2)(B), requires EPA to promulgate regulations
implementing subsection 209(e) of the Act, which addresses the
prohibition of state standards regarding certain classes of new nonroad
engines or new nonroad vehicles including new locomotives and new
engines used in locomotives, as well as EPA's authorization criteria
for certain California standards for other nonroad engines or nonroad
vehicles. See Section I.D of this preamble for more information on the
agency's authority for this action.
Did EPA conduct a peer review before issuing this action?
This proposed regulatory action is supported by influential
scientific information. EPA, therefore, is conducting peer review in
accordance with OMB's Final Information Quality Bulletin for Peer
Review. Specifically, we conducted the peer review process on two
analyses: (1) Emission Adjustments for Onroad Vehicles in MOVES3.R1,
and (2) Greenhouse Gas and Energy Consumption Rates for Onroad Vehicles
in MOVES3.R1. In addition, we plan to conduct a peer review of inputs
to the Heavy-Duty Technology Resource Use Case Scenario (HD TRUCS) tool
used to analyze HD vehicle energy usage and associated component costs.
All peer review were or will be in the form of letter reviews conducted
by a contractor. The peer review reports for each analysis will be
posted in the docket for this action and will be posted at EPA's
Science Inventory (https://cfpub.epa.gov/si/).
Table of Contents
Executive Summary
A. Need for Regulatory Action
B. The Opportunity for Clean Air Provided by Zero-Emission
Vehicle Technologies
C. Summary of the Major Provisions in the Regulatory Action
D. Impacts of the Proposed Standards
I. Introduction
A. Brief Overview of the Heavy-Duty Industry
B. History of Greenhouse Gas Emission Standards for Heavy-Duty
Engines and Vehicles
C. What has changed since we finalized the HD GHG Phase 2 rule?
D. EPA Statutory Authority for the Proposal
E. Coordination With Federal and State Partners
F. Stakeholder Engagement
II. Proposed CO2 Emission Standards
A. Public Health and Welfare Need for GHG Emission Reductions
B. Summary of Comments Received From HD2027 NPRM
C. Background on the CO2 Emission Standards in the HD
GHG Phase 2 Program
D. Vehicle Technologies
E. Technology, Charging Infrastructure, and Operating Costs
F. Proposed Standards
G. EPA's Basis That the Proposed Standards Are Feasible and
Appropriate Under the Clean Air Act
H. Potential Alternatives
I. Small Businesses
III. Compliance Provisions, Flexibilities, and Test Procedures
A. Proposed Revisions to the ABT Program
B. Battery Durability Monitoring and Warranty Requirements
C. Additional Proposed Revisions to the Regulations
IV. Proposed Program Costs
A. IRA Tax Credits
[[Page 25928]]
B. Technology Package Costs
C. Manufacturer Costs
D. Purchaser Costs
E. Social Costs
V. Estimated Emission Impacts From the Proposed Program
A. Model Inputs
B. Estimated Emission Impacts From the Proposed Standards
VI. Climate, Health, Air Quality, Environmental Justice, and
Economic Impacts
A. Climate Change Impacts
B. Health and Environmental Effects Associated With Exposure to
Non-GHG Pollutants
C. Air Quality Impacts of Non-GHG Pollutants
D. Environmental Justice
E. Economic Impacts
F. Oil Imports and Electricity and Hydrogen Consumption
VII. Benefits of the Proposed Program
A. Social Cost of GHGs
B. Criteria Pollutant Health Benefits
C. Energy Security
VIII. Comparison of Benefits and Costs
A. Methods
B. Results
IX. Analysis of Alternative CO2 Emission Standards
A. Comparison of Proposal and Alternative
B. Emission Inventory Comparison of Proposal and Slower Phase-In
Alternative
C. Program Costs Comparison of Proposal and Alternative
D. Benefits
E. How do the proposal and alternative compare in overall
benefits and costs?
X. Preemption of State Standards and Requirements for New
Locomotives or New Engines Used in Locomotives
A. Overview
B. Background
C. Evaluation of Impact of Regulatory Preemption
D. What is EPA proposing?
XI. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory Planning and Review and
Executive Order 13563: Improving Regulation and Regulatory Review
B. Paperwork Reduction Act (PRA)
C. Regulatory Flexibility Act (RFA)
D. Unfunded Mandates Reform Act (UMRA)
E. Executive Order 13132: Federalism
F. Executive Order 13175: Consultation and Coordination With
Indian Tribal Governments
G. Executive Order 13045: Protection of Children From
Environmental Health and Safety Risks
H. Executive Order 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use
I. National Technology Transfer and Advancement Act (NTTAA) and
1 CFR Part 51
J. Executive Order 12898: Federal Actions To Address
Environmental Justice in Minority Populations and Low-Income
Populations.
XII. Statutory Authority and Legal Provisions
List of Subjects
Executive Summary
A. Need for Regulatory Action
The Environmental Protection Agency (EPA) is proposing this action
to further reduce GHG air pollution from highway heavy-duty (hereafter
referred to as ``heavy-duty'' or HD) engines and vehicles across the
United States. Despite the significant emissions reductions achieved by
previous rulemakings, GHG emissions from HD vehicles continue to impact
public health, welfare, and the environment. The transportation sector
is the largest U.S. source of GHG emissions, representing 27 percent of
total GHG emissions.\2\ Within the transportation sector, heavy-duty
vehicles are the second largest contributor to GHG emissions and are
responsible for 25 percent of GHG emissions in the sector.\3\ GHG
emissions have significant impacts on public health and welfare as
evidenced by the well-documented scientific record and as set forth in
EPA's Endangerment and Cause or Contribute Findings under Section
202(a) of the CAA.\4\ Additionally, major scientific assessments
continue to be released that further advance our understanding of the
climate system and the impacts that GHGs have on public health and
welfare both for current and future generations, as discussed in
Section II.A.
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\2\ Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-
2020 (EPA-430-R-22-003, published April 2022).
\3\ Ibid.
\4\ 74 FR 66496, December 15, 2009; see also 81 FR 54422, August
15, 2016 (making a similar endangerment and cause or contribute
findings for GHGs from aircraft under section 231(a)(2)(A)).
Recently, in April 2022, EPA denied administrative petitions
relating to the 2009 finding, determining that ``[t]he science
supporting the Administrator's [2009] finding that elevated
concentrations of greenhouse gases in the atmosphere may reasonably
be anticipated to endanger the public health and welfare of current
and future U.S. generations is robust, voluminous, and compelling,
and has been strongly affirmed by recent scientific assessments. . .
.'' EPA's Denial of Petitions Relating to the Endangerment and Cause
or Contribute Findings for Greenhouse Gases Under Section 202(a) of
the Clean Air Act 1, available at https://www.epa.gov/system/files/documents/2022-04/decision_document.pdf.
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The potential for the application of zero-emission vehicle (ZEV)
technologies in the heavy-duty sector presents an opportunity for
significant reductions in heavy-duty GHG emissions over the long
term.\5\ Major trucking fleets, HD vehicle and engine manufacturers,
and U.S. states have announced plans to increase the use of heavy-duty
zero-emissions technologies in the coming years. The 2021
Infrastructure Investment and Jobs Act (commonly referred to as the
``Bipartisan Infrastructure Law'' or BIL) and the Inflation Reduction
Act of 2022 (``Inflation Reduction Act'' or IRA) together include many
incentives for the development, production, and sale of ZEVs, electric
charging infrastructure, and hydrogen, which are expected to spur
significant innovation in the heavy-duty sector.\6\ In addition,
supporting assessments provided by some commenters during the comment
period for the EPA's March 2022 Notice of Proposed Rulemaking ``Control
of Air Pollution from New Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards'' (hereafter referred to as ``HD2027 NPRM''), which proposed
strengthening existing MY 2027 GHG standards for heavy-duty vehicles,
suggested that significant ZEV adoption rates can be achieved over the
next decade.7 8 We discuss these developments in more detail
in Section I. EPA also projects that improvements in internal
combustion engines, powertrains, and vehicle technologies such as those
EPA projected would be used to achieve the HD GHG Phase 2 standards
will also be needed to continue to reduce GHG emissions from the HD
sector, and as described in Section II.D.1, these technology
improvements continue to be feasible. With respect to the need for GHG
reductions and these heavy-duty sector developments, EPA is proposing
in this document more stringent MY 2027 HD vehicle CO2
emission standards (i.e., beyond what was finalized in HD GHG Phase 2)
and new HD vehicle CO2 emission standards starting in MYs 2028 through
2032 that we believe are appropriate and feasible considering cost,
lead time, and other factors, as described throughout this preamble and
supporting materials in the docket for this proposed rulemaking.
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\5\ Throughout the preamble, we use the term ZEV technologies to
refer to technologies that result in zero tailpipe emissions.
Example ZEV technologies include battery electric vehicles and fuel
cell vehicles.
\6\ Infrastructure Investment and Jobs Act, Public Law 117-58,
135 Stat. 429 (2021) (``Bipartisan Infrastructure Law'' or ``BIL''),
available at https://www.congress.gov/117/plaws/publ58/PLAW-117publ58.pdf; Inflation Reduction Act of 2022, Public Law 117-169,
136 Stat. 1818 (2022) (``Inflation Reduction Act'' or ``IRA''),
available at https://www.congress.gov/117/bills/hr5376/BILLS-117hr5376enr.pdf.
\7\ Notice of Proposed Rulemaking for Control of Air Pollution
from New Motor Vehicles: Heavy-Duty Engine and Vehicle Standards. 87
FR 17414 (March 28, 2022).
\8\ U.S. EPA, ``Control of Air Pollution from New Motor
Vehicles: Heavy-Duty Engine and Vehicle Standards--Response to
Comments.'' Section 28. Docket EPA-HQ-OAR-2019-0055.
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EPA sets highway heavy-duty vehicle and engine standards for GHG
emissions
[[Page 25929]]
under its authority in CAA section 202(a). Section 202(a)(1) states
that ``the Administrator shall by regulation prescribe (and from time
to time revise) . . . standards applicable to the emission of any air
pollutant from any class or classes of new motor vehicles or new motor
vehicle engines, . . . which in his judgment cause, or contribute to,
air pollution which may reasonably be anticipated to endanger public
health or welfare.'' Section 202(a)(2) provides that standards under
section 202(a) apply to such vehicles and engines ``after such period
as the Administrator finds necessary to permit the development and
application of the requisite technology, giving appropriate
consideration to the cost of compliance within such period.'' Pursuant
to section 202(a)(1), such standards apply to vehicles and engines
``for their useful life.'' EPA also may consider other factors such as
the impacts of potential GHG standards on the industry, fuel savings,
oil conservation, energy security, and other relevant considerations.
Congress authorized the Administrator to determine the levels of
emission reductions achievable for such air pollutants through the
application of technologies taking into account cost, lead time, and
other factors.
Pursuant to our 202(a) authority, EPA first established standards
for the heavy-duty sector in the 1970s. Since then, the Agency has
revised the standards multiple times based upon updated data and
information, the continued need to mitigate air pollution, and
Congressional enactments directing EPA to regulate emissions from the
heavy-duty sector more stringently. Since 1985, HD engine and vehicle
manufacturers could comply with criteria-pollutant standards using
averaging,\9\ EPA also introduced banking and trading compliance
flexibilities in the HD program in 1990,\10\ and EPA's HD GHG standards
and regulations have consistently included an averaging, banking, and
trading (ABT) program from the start.\11\ Since the first standards,
subsequent standards have extended to additional pollutants (including
GHGs), increased in stringency, and spurred the development and
deployment of numerous new vehicle and engine technologies. For
example, the most recent GHG standards for HD vehicles will reduce
CO2 emissions by approximately 1.1 billion metric tons over
the lifetime of the new vehicles sold under the program (HD GHG Phase
2, 81 FR 73478, October 25, 2016) and the most recent criteria-
pollutant standards are projected to reduce NOX emissions
from the in-use HD fleet by almost 50 percent in 2045 (``Control of Air
Pollution from New Motor Vehicles: Heavy-Duty Engine and Vehicle
Standards'' (hereafter referred to as ``HD2027 FRM''), 88 FR 4296,
January 24, 2023). This proposal builds upon this multi-decadal
tradition of regulating heavy-duty vehicles and engines, by applying
the Agency's clear and longstanding statutory authority considering new
real-world data and information, including recent Congressional action
in the Bipartisan Infrastructure Law (BIL) and Inflation Reduction Act
(IRA).
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\9\ 50 FR 10606, Mar. 15, 1985; see also NRDC v. Thomas, 805
F.2d 410, 425 (D.C. Cir. 1986) (upholding emissions averaging in the
1985 HD final rule).
\10\ 55 FR 30584, July 26, 1990.
\11\ 76 FR 57128, September 15, 2011 (explaining ABT is a
flexibility that provides an opportunity for manufacturers to make
necessary technological improvements while reducing the overall cost
of the program); 81 FR 73495, October 25, 2016 (explaining that ABT
plays an important role in providing manufacturers flexibilities,
including helping reduce costs).
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This Notice of Proposed Rulemaking is consistent with Executive
Order 14037 on Strengthening American Leadership in Clean Cars and
Trucks, which directs the Administrator to ``consider updating the
existing greenhouse gas emissions standards for heavy-duty engines and
vehicles beginning with model year 2027 and extending through and
including at least model year 2029'' and directs EPA to ``consider
beginning work on a rulemaking under the Clean Air Act to establish new
greenhouse gas emissions standards for heavy-duty engines and vehicles
to begin as soon as model year 2030.'' \12\ Consistent with this
direction, in the HD2027 NPRM, we proposed building on and improving
the existing emission control program for highway heavy-duty vehicles
by further strengthening certain MY 2027 GHG standards finalized under
the HD GHG Phase 2 rule. However, we did not take final action on the
GHG portion of the HD2027 proposal in the final rule (HD2027 FRM).
Since that time, EPA has continued its analysis of the heavy-duty
vehicle sector including the recent passage of the IRA, which as we
discuss further in this preamble provides significant incentives for
GHG reductions in the heavy-duty vehicle sector. Based on this updated
information and analysis, and consistent with EPA's authority under the
Clean Air Act section 202(a), we are issuing this Notice of Proposed
Rulemaking (``HD GHG Phase 3 NPRM'') to propose certain revised HD
vehicle carbon dioxide (CO2) standards for MY 2027 and
certain new HD vehicle CO2 standards for MYs 2028, 2029,
2030, 2031, and 2032 that would achieve significant GHG reductions for
these and later model years (note the MY 2032 standards would remain in
place for MY 2033 and later). We are requesting comment on an
alternative set of CO2 standards that would more gradually
increase in stringency than the proposed standards for the same MYs.
EPA also requests comment on setting GHG standards starting in MYs 2027
through 2032 that would reflect: values less stringent than the lower
stringency alternative for certain market segments, values in between
the proposed standards and the alternative standards, values in between
the proposed standards and those that would reflect ZEV adoption levels
(i.e., percent of ZEVs in production volumes) used in California's ACT,
values that would reflect the level of ZEV adoption in the ACT program,
and values beyond those that would reflect ZEV adoption levels in ACT
such as the 50- to 60-percent ZEV adoption range represented by the
publicly stated goals of several major original equipment manufacturers
(OEMs) for 2030.13 14 15 16 17 We also request comment on
promulgating additional new standards with increasing stringency in MYs
2033 through 2035. EPA anticipates that the appropriate choice of final
standards within this range will reflect the Administrator's judgments
about the uncertainties in EPA's analyses as well as consideration of
public comment and updated information where available.
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\12\ 86 FR 43583, August 5, 2021. Executive Order 14037.
Strengthening American Leadership in Clean Cars and Trucks.
\13\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\14\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html.
\15\ AB Volvo, `Volvo Trucks Launches Electric Truck with Longer
Range,' Volvo Group, January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\16\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\17\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
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CAA section 202(a) directs EPA to regulate emissions of air
pollutants from new motor vehicles and engines, which in the
Administrator's judgment, cause or contribute to air pollution that may
reasonably be anticipated to endanger
[[Page 25930]]
public health or welfare. While standards promulgated pursuant to CAA
section 202(a) are based on application of technology, the statute does
not specify a particular technology or technologies that must be used
to set such standards; rather, Congress has authorized and directed EPA
to adapt its standards to emerging technologies. In 2009, the
Administrator issued an Endangerment Finding under CAA section 202(a),
concluding that GHG emissions from new motor vehicles and engines,
including heavy-duty vehicles and engines, cause or contribute to air
pollution that may endanger public health or welfare.\18\ Pursuant to
the 2009 Endangerment and Cause or Contribute Finding, EPA promulgated
GHG regulations for heavy-duty vehicles and engines in 2011 and 2016,
referred to as the HD GHG Phase 1 and HD GHG Phase 2 programs,
respectively.\19\ In the HD GHG Phase 1 and Phase 2 programs, EPA set
emission standards that the Agency found appropriate and feasible,
considering cost, lead time, and other factors.
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\18\ 74 FR 66496 (Dec. 15, 2009).
\19\ 76 FR 57106 (Sept. 15, 2011); 81 FR 73478 (Oct. 25, 2016).
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Over time, manufacturers have not only continued to find ways to
further reduce emissions from motor vehicles, including HD vehicles,
they have found ways to eliminate tailpipe emissions entirely through
the use of zero-emission vehicle technologies. Since the 2009
Endangerment and Cause or Contribute Finding and issuance of the HD GHG
Phase 1 and Phase 2 program regulations, there has continued to be
significant technological advancement in the vehicle and engine
manufacturing sectors, including for such zero-emission vehicle
technologies. The HD Phase 3 regulations that we are proposing take
into account the ongoing technological innovation in the HD vehicle
space and reflect CO2 emission standards that we consider
appropriate and feasible considering cost, lead time, and other
factors.
B. The Opportunity for Clean Air Provided by Zero-Emission Vehicle
Technologies
When the HD GHG Phase 2 rule was promulgated in 2016, we
established CO2 standards on the premise that ZEV
technologies, such as battery electric vehicles (BEVs) and fuel cell
electric vehicles (FCEVs), would become more widely available in the
heavy-duty market over time, but not in significant volume in the
timeframe of the Phase 2 program. We finalized BEV, plug-in hybrid
electric vehicle (PHEV), and FCEV advanced technology credit
multipliers to encourage the development and sales of these advanced
technologies.
Several significant developments have occurred since 2016 that
point to ZEV technologies becoming more readily available much sooner
than we had previously projected for the HD sector. These developments
support the feasibility of ZEV technologies and render adoption of ZEV
technologies to reduce GHG emissions more cost-competitive than ever
before. First, the HD market has evolved such that early ZEV models are
in use today for some applications and are expected to expand to many
more applications; costs of ZEV technologies have gone down and are
projected to continue to fall; and manufacturers have announced plans
to rapidly increase their investments in ZEV technologies over the next
decade. In 2022, there were a number of manufacturers producing fully
electric HD vehicles for use in a number of applications, and these
small volumes are expected to rise (see Section I.C and Draft
Regulatory Impact Analysis (DRIA) Chapter 1). The cost to manufacture
lithium-ion batteries (the single most expensive component of a BEV)
has dropped significantly in the past eight years, and that cost is
projected to continue to fall during this decade, all while the
performance of the batteries (in terms of energy density)
improves.20 21 Many of the manufacturers that produce HD
vehicles and major firms that purchase HD vehicles have announced
billions of dollars' worth of investments in ZEV technologies and
significant plans to transition to a zero-carbon fleet over the next
ten to fifteen years.\22\
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\20\ Mulholland, Eamonn. ``Cost of electric commercial vans and
pickup trucks in the United States through 2040.'' Page 7. January
2022. Available at https://theicct.org/wp-content/uploads/2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
\21\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation, Working Paper 2022-09 (February 2022). Available
online: https://theicct.org/publication/purchase-cost-ze-trucks-feb22/.
\22\ Environmental Defense Fund (2022) September 2022 Electric
Vehicle Market Update: Manufacturer Commitments and Public Policy
Initiatives Supporting Electric Mobility in the U.S. and Worldwide,
available online at: https://blogs.edf.org/climate411/files/2022/09/ERM-EDF-Electric-Vehicle-Market-Report_September2022.pdf.
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Second, the 2021 BIL and the 2022 IRA laws provide significant and
unprecedented monetary incentives for the production and purchase of
qualified ZEVs in the HD market. They also provide incentives for
qualifying electric charging infrastructure and hydrogen, which will
further support a rapid increase in market penetration of HD ZEVs. As a
few examples, over the next five years, BIL provisions include $5
billion to fund the replacement of school buses with zero- or low-
emission buses and $5.6 billion to support the purchase of zero- or
low-emission transit buses and associated infrastructure, with up to
$7.5 billion to help build out a national network of EV charging and
hydrogen refueling infrastructure, some of which may be used for
refueling of heavy duty vehicles. The IRA creates a tax credit of up to
$40,000 per vehicle for vehicles over 14,000 pounds (and up to $7,500
per vehicle for vehicles under 14,000 pounds) for the purchase of
qualified commercial clean vehicles and provides tax credits for the
production and sale of battery cells and modules of up to $45 per
kilowatt-hour (kWh). The wide array of incentives in both laws will
help to reduce the costs to manufacture, purchase, and operate ZEVs,
thereby bolstering their adoption in the market.
Third, there have been multiple actions by states to accelerate the
adoption of HD ZEVs. The State of California and other states have
adopted the ACT program that includes a manufacturer requirement for
zero-emission truck sales.23 24 The ACT program would
require that ``manufacturers who certify Class 2b-8 chassis or complete
vehicles with combustion engines would be required to sell zero-
emission trucks as an
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\23\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\24\ See, e.g., Final Advanced Clean Truck Amendments, 1461
Mass. Reg. 29 (Jan. 21, 2022) (Massachusetts). Medium- and Heavy-
Duty (MHD) Zero Emission Truck Annual Sales Requirements and Large
Entity Reporting, 44 N.Y. Reg. 8 (Jan. 19, 2022) (New York),
available at https://dos.ny.gov/system/files/documents/2022/01/011922.pdf. Advanced Clean Trucks Program and Fleet Reporting
Requirements, 53 N.J.R. 2148(a) (Dec. 20, 2021) (New Jersey),
available at https://www.nj.gov/dep/rules/adoptions/adopt_20211220a.pdf (pre-publication version). Clean Trucks Rule
2021, DEQ-17-2021 (Nov. 17, 2021), available at https://records.sos.state.or.us/ORSOSWebDrawer/Recordhtml/8581405 (Oregon).
Low emission vehicles, Wash. Admin. Code. Sec. 173-423-070 (2021),
available at https://app.leg.wa.gov/wac/default.aspx?cite=173-423-070; 2021 Wash. Reg. 587356 (Dec. 15, 2021); Wash. Reg. 21-24-059
(Nov. 29, 2021) (amending Wash. Admin. Code. Sec. Sec. 173-423 and
173-400), available at https://lawfilesext.leg.wa.gov/law/wsrpdf/2021/24/21-24-059.pdf (Washington).
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[[Page 25931]]
increasing percentage of their annual [state] sales from 2024 to
2035.'' 25 26 In addition, 17 states and the District of
Columbia have signed a Memorandum of Understanding establishing goals
to support widespread electrification of the HD vehicle market.\27\ We
discuss these factors further in Section I.
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\25\ California Air Resources Board, Advanced Clean Trucks Fact
Sheet (August 20, 2021), available at https://ww2.arb.ca.gov/resources/fact-sheets/advanced-clean-trucks-fact-sheet. See also
California Air Resources Board, Final Regulation Order--Advanced
Clean Trucks Regulation. Filed March 15, 2021. Available at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\26\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023. 88 FR 20688, April 6,
2023 (signed by the Administrator on March 30, 2023).
\27\ Multi-State MOU, available at https://www.nescaum.org/documents/mhdv-zev-mou-20220329.pdf/.
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Recognizing the need for additional GHG reductions from HD vehicles
and the growth of ZEV technologies in the HD market, last year we
proposed strengthening certain existing MY 2027 HD vehicle
CO2 standards as part of the HD2027 NPRM. We received many
comments on the proposed updates to those HD vehicle CO2
emission standards.28 Many commenters suggested that EPA
should further strengthen HD vehicle CO2 emission standards
in MYs 2027 through 2029 beyond the HD2027 NPRM proposed levels because
of the accelerating adoption of HD ZEV technologies, and some
commenters provided a number of reports that evaluate the potential of
electrification of the HD sector in terms of adoption rates, costs, and
other factors. Some commenters raised concerns with the HD2027 NPRM
proposed changes to certain HD GHG Phase 2 CO2 emission
standards, asserting the significant investment and lead time required
for development and verification of the durability of ZEV technologies,
especially given the diverse range of applications in the HD market.
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\28\ U.S. EPA, ``Control of Air Pollution from New Motor
Vehicles: Heavy-Duty Engine and Vehicle Standards--Response to
Comments.'' Section 28. Docket EPA-HQ-OAR-2019-0055.
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In the HD2027 NPRM, EPA also requested comment on several
approaches to modify the existing Advanced Technology Credit
Multipliers (``credit multipliers'') under the HD GHG Phase 2 program.
Many commenters supported limiting the credits in some fashion, such as
eliminating credit multipliers for ZEVs produced due to state
requirements or phasing out the credit multipliers earlier than MY
2027, which was the last model year that multipliers could be applied
under HD GHG Phase 2. Some of the commenters opposed any changes to the
existing credit multipliers, indicating that the multipliers are
necessary for the development of these new and higher-cost technologies
into existing and new markets. We considered the concerns and
information provided in these comments when developing this proposal,
as discussed in Sections II and III. Commenters who would like EPA to
further consider in this rulemaking any relevant comments that they
provided on the HD2027 NPRM regarding proposed HD vehicle GHG standards
for the MYs at issue in this proposal must resubmit those comments to
EPA during this proposal's comment period.\29\
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\29\ Note, comments regarding aspects of the HD program besides
those GHG standards and compliance requirements in this proposal are
outside the scope of this rulemaking.
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EPA believes the increased application of ZEV technologies in the
HD sector presents an opportunity to strengthen GHG standards, which
can result in significant reductions in heavy-duty vehicle emissions.
Based on an in-depth analysis of the potential for the development and
application of ZEV technologies in the HD sector, we are proposing in
this Phase 3 NPRM more stringent GHG standards for MYs 2027 through
2032 and later HD vehicles heavy-duty vehicles that are appropriate and
feasible considering lead time, costs, and other factors. These
proposed Phase 3 standards include (1) revised GHG standards for many
MY 2027 HD vehicles, with a subset of standards that would not change,
and (2) new GHG standards starting in MYs 2028 through 2032, of which
the MY 2032 standards would remain in place for MY 2033 and later. For
the purposes of this preamble, we refer to the Phase 3 NPRM standards
generally as applying to MYs 2027 through 2032 and later HD vehicles.
In this NPRM, we are also requesting comment on setting additional new,
progressively more stringent GHG standards beyond the MYs proposed and
starting in MYs 2033 through 2035. In consideration of concerns from
manufacturers about lead time needed for technology development and
market investments, we request comment in this NPRM on an alternative
set of GHG standards starting in MYs 2027 through 2032 that are lower
than those proposed yet still more stringent than the Phase 2
standards. We also request comment, including supporting data and
analysis, if there are certain market segments, such as heavy-haul
vocational trucks or long-haul tractors which may require significant
energy content for their intended use, for which it may be appropriate
to set standards less stringent than the alternative for the specific
corresponding regulatory subcategories in order to provide additional
lead time to develop and introduce ZEV or other low emissions
technology for those specific vehicle applications. In consideration of
the environmental impacts of HD vehicles and the need for significant
emission reductions, as well as the views expressed by stakeholders
such as environmental justice communities, environmental nonprofit
organizations, and state and local organizations for rapid and
aggressive reductions in GHG emissions, we are also requesting comment
on a more stringent set of GHG standards starting in MYs 2027 through
2032 whose values would go beyond the proposed standards, such as
values that would reflect the level of ZEV adoption (i.e., percent of
ZEVs in production volumes) used in California's ACT program, values in
between these proposed standards and those that would reflect ZEV
adoption levels in ACT, and values beyond those that would reflect ZEV
adoption levels in ACT, such as the 50-60 percent ZEV adoption range
represented by the publicly stated goals of several major OEMs for
2030.30 31 32 33 34
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\30\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\31\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html.
\32\ AB Volvo, `Volvo Trucks Launches Electric Truck with Longer
Range,' Volvo Group, January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\33\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\34\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
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After considering the state of electrification of the HD market,
new incentives, and comments received on the HD2027 NPRM regarding
credit multipliers, EPA believes that the HD GHG Phase 2 levels of
incentives for electrification are no longer appropriate for certain
segments of the HD vehicle market. We are proposing in this document to
end credit multipliers for BEVs and PHEVs one year earlier than
provided in the existing HD GHG Phase 2 program (i.e., no credit
multipliers for BEVs and PHEVs in MYs 2027 and later).
[[Page 25932]]
C. Summary of the Major Provisions in the Regulatory Action
Our proposed program features several key provisions that include,
based on consideration of updated data and information, updating the
existing MY 2027 GHG emission standards and promulgating new GHG
emission standards starting in MYs 2028 through 2032 for HD vehicles.
Specifically, we are proposing to set progressively more stringent GHG
emission standards that would apply to MYs 2027, 2028, 2029, 2030,
2031, and 2032 and later for numerous vocational vehicle and tractor
subcategories. The proposed standards for MY 2032 and later are shown
in Table ES-1 and Table ES-2 and are described in detail in Section II,
while the proposed standards for MYs 2027 through 2031 are shown in
Section II.F.\35\ As described in Section II of this preamble, our
analysis shows that the proposed revisions to HD GHG Phase 2
CO2 standards for MY 2027 and the proposed new,
progressively lower numeric values of the CO2 standards
starting in MYs 2028 through 2032 are appropriate considering
feasibility, lead time, costs, and other factors. We seek comment on
these proposed Phase 3 standards starting in MYs 2027 through 2032.
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\35\ See proposed regulations 40 CFR 1037.105 and 1037.106.
Table ES-1--Proposed MY 2032 and Later Vocational Vehicle CO2 Emission Standards (Grams/Ton-Mile) by Regulatory
Subcategory
----------------------------------------------------------------------------------------------------------------
CI medium SI medium
CI light heavy heavy CI heavy heavy SI light heavy heavy
----------------------------------------------------------------------------------------------------------------
Urban Vehicles.................. 179 176 177 225 215
Multi-Purpose Vehicles.......... 142 153 138 184 186
Regional Vehicles............... 103 136 97 131 165
----------------------------------------------------------------------------------------------------------------
Note: Please see Section II.F.4 for the full set of proposed standards, including for optional custom chassis
vehicles.
Table ES-2--Proposed MY 2032 and Later Tractor CO2 Emission Standards (Grams/Ton-Mile) by Regulatory Subcategory
----------------------------------------------------------------------------------------------------------------
Class 7 all Class 8 day Class 8
cab styles cab sleeper cab
----------------------------------------------------------------------------------------------------------------
Low Roof Tractor................................................ 63.5 48.4 48.1
Mid Roof Tractor................................................ 68.2 51.5 52.2
High Roof Tractor............................................... 66.0 50.0 48.2
----------------------------------------------------------------------------------------------------------------
Note: Please see Section II.F.4 for the full set of proposed standards, including for heavy-haul tractors.
The proposed standards do not mandate the use of a specific
technology, and EPA anticipates that a compliant fleet under the
proposed standards would include a diverse range of technologies (e.g.,
transmission technologies, aerodynamic improvements, engine
technologies, battery electric powertrains, hydrogen fuel cell
powertrains, etc.). The technologies that have played a fundamental
role in meeting the Phase 2 GHG standards will continue to play an
important role going forward as they remain key to reducing the GHG
emissions of HD vehicles powered by internal combustion engines
(referred to in this proposal as ICE vehicles). In developing the
proposed standards, EPA has also considered the key issues associated
with growth in penetration of zero-emission vehicles, including
charging infrastructure and hydrogen production. In our assessment that
supports the appropriateness and feasibility of these proposed
standards, we developed a technology pathway that could be used to meet
each of the standards. The technology package includes a mix of ICE
vehicles with CO2-reducing technologies and ZEVs. EPA
developed an analysis tool to evaluate the design features needed to
meet the energy and power demands of various HD vehicle types when
using ZEV technologies. The overarching analysis is premised on
ensuring each of the ZEVs could perform the same work as its ICE
counterpart while oversizing the battery to account for its usable
range and that batteries deteriorate over time. The fraction of ZEVs in
the technology packages are shown in Table ES-3 and described further
in Section II of this preamble.
Table ES-3--Projected ZEV Adoption Rates in Technology Packages for the Proposed Standards
--------------------------------------------------------------------------------------------------------------------------------------------------------
Regulatory subcategory grouping MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) MY 2032 (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Light-Heavy Duty Vocational............................. 22 28 34 39 45 57
Medium Heavy-Duty Vocational............................ 19 21 24 27 30 35
Heavy-Heavy-Duty Vocational............................. 16 18 19 30 33 40
Day Cab Tractors........................................ 10 12 15 20 30 34
Sleeper Cab Tractors.................................... 0 0 0 10 20 25
--------------------------------------------------------------------------------------------------------------------------------------------------------
Note: Please see Section II.F.1 for the full set of technology packages, including for optional custom chassis vehicles.
We are requesting comment on an alternative set of CO2
standards that would more gradually increase in stringency than the
proposed standards starting in MY 2027 through 2032, further described
in Section II.H. We developed a technology pathway that could be used
to meet the alternatives standards, which projects the aggregated
[[Page 25933]]
ZEV adoption rates shown in Table ES-4 and described further in Section
II of this preamble. As described in more detail in Section II, we also
are seeking comment on setting GHG standards starting in MYs 2027
through 2032 that would reflect values less stringent than the lower
stringency alternative for certain market segments as well as comment
on values in between the proposed standards and the alternative
standards. Also described in Section II, we are seeking comment on
setting GHG standards starting in MYs 2027 through 2032 that would
reflect values above the level of the proposed standards. Some of the
HD2027 NPRM commenters provided specific recommendations for ZEV
adoption rates to include in our analysis, and these adoption rates are
on the order of 40 percent or more electrification by MY
2029.36 37 38 39 The California Air Resources Board's
(CARB's) ACT regulation sets ZEV sales requirements for vocational
vehicles at 40 percent and for tractors at 25 percent in MY 2029 (Table
ES-4). Announcements by major manufacturers project their HD ZEV sales
to be in the 50 percent range for 2030 globally, with one manufacturer
projecting sales as high as 60 percent for North America in that
year.40 41 42 43 We request comment and data that would
support more stringent GHG standards than we are proposing for MYs 2027
through 2032, including comment and data on different technologies'
penetration rates than we included in the technology packages described
in Section II of the preamble. Specifically, EPA requests comment on
values that would reflect the level of ZEV adoption used in
California's ACT program, values in between these proposed standards
and those that would reflect ZEV adoption levels in ACT, and values
beyond those that would reflect ZEV adoption levels in ACT such as the
50-60 percent ZEV adoption range represented by the publicly stated
goals of several major OEMs for 2030.44 45 46 47 48 We
further request comment on promulgating progressively more stringent
standards out through MY 2035.
---------------------------------------------------------------------------
\36\ ACEEE Comments to the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-2852-A1. Referencing Catherine Ledna et al.,
`Decarbonizing Medium-& Heavy-Duty On-Road Vehicles: Zero-Emission
Vehicles Cost Analysis' (NREL, March 2022), https://www.nrel.gov/docs/fy22osti/82081.pdf.
\37\ EDF Comments to the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1, pp. 16-17.
\38\ ICCT Comments to the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1211-A1, p. 6.
\39\ Moving Forward Network Comments to the HD2027 NPRM. See
Docket Entry EPA-HQ-OAR-2019-0055-1277-A1, pp. 19-20.
\40\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html; AB Volvo, `Volvo
Trucks Launches Electric Truck with Longer Range,' Volvo Group,
January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\41\ David Cullen, `Daimler to Offer Carbon Neutral Trucks by
2039,' (October 25, 2019). https://www.truckinginfo.com/343243/daimler-aims-to-offer-only-co2-neutral-trucks-by-2039-in-key-markets.
\42\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\43\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
\44\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\45\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html.
\46\ AB Volvo, `Volvo Trucks Launches Electric Truck with Longer
Range,' Volvo Group, January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\47\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\48\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
Table ES-4--Aggregated Projected ZEV Adoption Rates in Technology Packages for the Proposed Standards, Aggregated Projected ZEV Adoption Rates in
Technology Packages for the Alternative Standards, and California ACT ZEV Sales Requirements
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) later (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposed:
Vocational.......................................... 20 25 30 35 40 50
Short-Haul Tractors................................. 10 12 15 20 30 35
Long-Haul Tractors.................................. 0 0 0 10 20 25
Alternative:
Vocational.......................................... 14 20 25 30 35 40
Short Haul Tractors................................. 5 8 10 15 20 25
Long Haul Tractors.................................. 0 0 0 10 15 20
CARB ACT:
Vocational.......................................... 20 30 40 50 55 60
Tractors............................................ 15 20 25 30 35 40
--------------------------------------------------------------------------------------------------------------------------------------------------------
As discussed in Section II and DRIA Chapters 1 and 2, EPA
recognizes that charging and refueling infrastructure for BEVs and
FCEVs is critically important for the success in the increasing
development and adoption of these vehicle technologies. There are
significant efforts already underway to develop and expand heavy-duty
electric charging and hydrogen refueling infrastructure. The U.S.
government is making large investments through the BIL and the IRA, as
discussed in more detail in DRIA Chapter 1.3.2. (e.g., this includes a
tax credit for charging or hydrogen refueling infrastructure) as well
as billions of additional dollars for programs that could help fund
charging infrastructure if purchased alongside an electric
vehicle).49 50 However, private investments will also play a
critical role in meeting future infrastructure needs. We expect many
BEV or fleet owners to invest in charging infrastructure for depot
charging. (See DRIA Chapter 2.6 for information on our analysis of
depot charging needs and costs associated with this proposal.)
Manufacturers, charging network providers, energy companies and others
are also investing
[[Page 25934]]
in high-power public or other stations that could support en-route
charging. This includes over a billion dollars for recently announced
projects to support electric truck or other commercial vehicle charging
in the United States and Europe.\51\ For example, Daimler Truck North
America is partnering with electric power generation company NextEra
Energy Resources and BlackRock Renewable Power to collectively invest
$650 million to create a nationwide U.S. charging network for
commercial vehicles with a later phase of the project also supporting
hydrogen fueling stations.\52\ Volvo Group and Pilot recently announced
their intent to offer public charging for medium- and heavy-duty BEVs
at over 750 Pilot and Flying J North American truck stops and travel
plazas.\53\ (See DRIA Chapter 1.6.2 for a more detailed discussion of
private investments in heavy-duty infrastructure.)
---------------------------------------------------------------------------
\49\ Inflation Reduction Act, Public Law 117-169 (2022).
\50\ Bipartisan Infrastructure Law, Public Law 117-58, 135 Stat.
429 (2021).
\51\ BloombergNEF. ``Zero-Emission Vehicles Factbook A
BloombergNEF special report prepared for COP27.'' November 2022.
Available online: https://www.bloomberg.com/professional/download/2022-zero-emissions-vehicle-factbook/.
\52\ NextEra Energy. News Release: ``Daimler Truck North
America, NextEra Energy Resources and BlackRock Renewable Power
Announce Plans to Accelerate Public Charging Infrastructure for
Commercial Vehicles Across The U.S.'' January 31, 2022. Available
online: https://newsroom.nexteraenergy.com/news-releases?item=123840.
\53\ Adler, Alan. ``Pilot and Volvo Group add to public electric
charging projects''. FreightWaves. November 16, 2022. Available
online: https://www.freightwaves.com/news/pilot-and-volvo-group-add-to-public-electric-charging-projects.
---------------------------------------------------------------------------
These recent heavy-duty charging announcements come during a period
of rapid growth in the broader market for charging infrastructure
serving cars or other electric vehicles. BloombergNEF estimates that
annual global investment was $62 billion in 2022, nearly twice that of
the prior year.\54\ Private charging companies have already attracted
billions globally in venture capital and mergers and acquisitions.\55\
In the United States, there was $200 million or more in mergers and
acquisition activity in 2022 according to the capital market data
provider Pitchbook,\56\ indicating strong interest in the future of the
charging industry. Domestic manufacturing capacity is also increasing
with over $600 million in announced investments to support the
production of charging equipment and components at existing or new U.S.
facilities.57 58
---------------------------------------------------------------------------
\54\ BloombergNEF. ``Next $100 Billion EV-Charger Spend to Be
Super Fast.'' January 20, 2023. Available online: https://about.bnef.com/blog/next-100-billion-ev-charger-spend-to-be-super-fast/.
\55\ Hampleton.''Autotech & Mobility M&A market report 1H2023.''
2023. Available online: https://www.hampletonpartners.com/fileadmin/user_upload/Report_PDFs/Hampleton-Partners-Autotech-Mobility-Report-1H2023-FINAL.pdf.
\56\ St. John, Alexa, and Nora Naughton.'' Automakers need way
more plug-in stations to make their EV plans work. That has sparked
a buyer frenzy as big charging players gobble up smaller ones.''
Insider, November 24, 2022. Available online: https://www.businessinsider.com/ev-charging-industry-merger-acquisition-meet-electric-vehicle-demand-2022-11.
\57\ Joint Office of Energy and Transportation. ``Private Sector
Continues to Play Key Part in Accelerating Buildout of EV Charging
Networks.'' February 15, 2023. Available online: https://driveelectric.gov/news/#private-investment.
\58\ North Carolina Office of the Governor. ``Manufacturer of
Electric Vehicle Charging Stations Selects Durham County for New
Production Facility''. February 7, 2023. Available online: https://governor.nc.gov/news/press-releases/2023/02/07/manufacturer-electric-vehicle-charging-stations-selects-durham-county-new-production-facility.
---------------------------------------------------------------------------
These important early actions and market indicators suggest strong
growth in charging and refueling ZEV infrastructure in the coming
years. Furthermore, as described in Section II of this document, our
analysis of charging infrastructure needs and costs supports the
feasibility of the future growth of ZEV technology of the magnitude EPA
is projecting in this proposal's technology package. EPA has heard from
some representatives from the heavy-duty vehicle manufacturing industry
both optimism regarding the heavy-duty industry's ability to produce
ZEV technologies in future years at high volume, but also concern that
a slow growth in ZEV charging and refueling infrastructure can slow the
growth of heavy-duty ZEV adoption, and that this may present challenges
for vehicle manufacturers ability to comply with future EPA GHG
standards. Several heavy-duty vehicle manufacturers have encouraged EPA
to consider ways to address this concern both in the development of the
Phase 3 program, and in the structure of the Phase 3 program itself.
\59\ EPA requests comment on this concern, both in the Phase 3
rulemaking process, and in consideration of whether EPA should consider
undertaking any future actions related to the Phase 3 standards, if
finalized, with respect to the future growth of the charging and
refueling infrastructure for ZEVs. EPA has a vested interest in
monitoring industry's performance in complying with mobile source
emission standards, including the highway heavy-duty industry. EPA
monitors industry's performance through a range of approaches,
including regular meetings with individual companies and regulatory
requirements for data submission as part of the annual certification
process. EPA also provides transparency to the public through actions
such as publishing industry compliance reports (such as has been done
during the heavy-duty GHG Phase 1 program).\60\ EPA requests comment on
what, if any, additional information and data EPA should consider
collecting and monitoring during the implementation of the Phase 3
standards; we also request comment on whether there are additional
stakeholders EPA should work with during implementation of the Phase 3
standards, if finalized, and what measures EPA should consider to help
ensure success of the Phase 3 program, including with respect to the
important issues of refueling and charging infrastructure for ZEVs.
---------------------------------------------------------------------------
\59\ Truck and Engine Manufacturers Association. ``EPA GHG Phase
3 Rulemaking: H-D Vehicle Manufacturers' Perspective'' presentation
to the Society of Automotive Engineers Government and Industry
Meeting. January 18, 2023.
\60\ See EPA Reports EPA-420-R-21-001B covering Model Years
2014-2018, and EPA report EPA-420-R-22-028B covering Model Years
2014--2020, available online at https://www.epa.gov/compliance-and-fuel-economy-data/epa-heavy-duty-vehicle-and-engine-greenhouse-gas-emissions.
---------------------------------------------------------------------------
As described in Section III.B of this preamble, we are also
proposing updates to the advanced technology incentives in the ABT
program for HD GHG Phase 2 for electric vehicles. Given the ZEV-related
factors outlined in this section and further described in Sections I
and II that have arisen since the adoption of HD GHG Phase 2, EPA
believes it is appropriate to limit the availability of credit
multipliers, but we also recognize the role these credits play in
developing new markets. We are proposing in this action to eliminate
the advanced technology vehicle credit multipliers for BEVs and PHEVs
for MY 2027, one year before these credit multipliers were set to end
under the existing HD GHG Phase 2 program. We propose retaining the
existing FCEV credit multipliers, because the HD market for this
technology continues to be in the early stage of development. We
request comment on this approach. In addition to this preamble, we have
also prepared a Draft Regulatory Impact Analysis (DRIA) which is
available on our website and in the public docket for this rulemaking.
The DRIA provides additional data, analysis, and discussion. We request
comment on the analysis and data in the DRIA.
D. Impacts of the Proposed Standards
Our estimated emission reductions, average per-vehicle costs,
program costs, and monetized benefits of the proposed program are
summarized in this section and detailed in Sections IV through VIII of
the preamble and Chapters 3 through 8 of the DRIA. EPA notes that,
consistent with CAA section 202, in
[[Page 25935]]
evaluating potential GHG standards, we carefully weigh the statutory
factors, including GHG emissions impacts of the GHG standards, and the
feasibility of the standards (including cost of compliance in light of
available lead time). We monetize benefits of the proposed GHG
standards and evaluate other costs in part to better enable a
comparison of costs and benefits pursuant to E.O. 12866, but we
recognize that there are benefits that we are currently unable to fully
quantify. EPA's consistent practice has been to set standards to
achieve improved air quality consistent with CAA section 202, and not
to rely on cost-benefit calculations, with their uncertainties and
limitations, in identifying the appropriate standards. Nonetheless, our
conclusion that the estimated benefits considerably exceed the
estimated costs of the proposed program reinforces our view that the
proposed GHG standards represent an appropriate weighing of the
statutory factors and other relevant considerations.
Our analysis of emissions impacts accounts for downstream
emissions, i.e., from emission processes such as engine combustion,
engine crankcase exhaust, vehicle evaporative emissions, and vehicle
refueling emissions. Vehicle technologies would also affect emissions
from upstream sources that occur during, for example, electricity
generation and the refining and distribution of fuel. This proposal's
analyses include emissions impacts from electrical generating units
(EGUs).\61\ We also account for refinery emission impacts on non-GHG
pollutants in these analyses.
---------------------------------------------------------------------------
\61\ We are continuing and are not reopening the existing
approach taken in both HD GHG Phase 1 and Phase 2, that compliance
with the vehicle exhaust CO2 emission standards is based
on CO2 emissions from the vehicle.
---------------------------------------------------------------------------
The proposed GHG standards would achieve significant reductions in
GHG emissions. As seen in Table ES-5, through 2055 the program would
result in significant downstream GHG emission reductions. In addition,
considering both downstream and EGU cumulative emissions from calendar
years 2027 through 2055, the proposed standards would achieve
approximately 1.8 billion metric tons in CO2 emission
reductions (see Section V of the preamble and Chapter 4 of the DRIA for
more detail).\62\ As discussed in Section VI of this preamble, these
GHG emission reductions would make an important contribution to efforts
to limit climate change and its anticipated impacts. These GHG
reductions would benefit all U.S. residents, including populations such
as people of color, low-income populations, indigenous peoples, and/or
children that may be especially vulnerable to various forms of damages
associated with climate change. We project a cumulative increase from
calendar years 2027 through 2055 of approximately 0.4 billion metric
tons of CO2 emissions from EGUs as a result of the increased
demand for electricity associated with the proposal, although those
projected impacts decrease over time because of projected changes in
the future power generation mix, including cleaner combustion
technologies and increases in renewables.\63\
---------------------------------------------------------------------------
\62\ As discussed in Section V, in this proposal we estimated
refinery emissions impacts only for non-GHG emissions. Were we to
estimate impacts on refinery GHG emissions, we expect that the
decrease in liquid fuel consumption associated with this rule would
lead to a reduction in those emissions, and that the total GHG
emissions reductions from this proposal (including downstream, EGU,
and refinery) would exceed 1.8 billion metric tons.
\63\ We expect IRA incentives, particularly sections 45X, 45Y,
and 48E of the Internal Revenue Code (i.e., Title 26) added by
sections 13502 (Advanced Manufacturing Production Credit), 13701
(Clean Electricity Production Credit), and 13702 (Clean Electricity
Investment Credit), respectively, to contribute significantly to
increases in renewables in the future power generation mix.
Table ES-5--Cumulative Downstream GHG Impacts of the Proposal From
Calendar Years 2027 Through 2055 in Billion Metric Tons (BMT) \a\
------------------------------------------------------------------------
Reduction in Percent impact
Pollutant BMT (%)
------------------------------------------------------------------------
Carbon Dioxide (CO2).................... 2.2 -18
Methane (CH4)........................... 0.00035 -17
Nitrous Oxide (N2O)..................... 0.00028 -17
CO2 Equivalent (CO2e)................... 2.3 -18
------------------------------------------------------------------------
\a\ Downstream emissions processes are those that come directly from a
vehicle, such as tailpipe exhaust, crankcase exhaust, evaporative
emissions, and refueling emissions.
We expect the proposed GHG emission standards would lead to an
increase in HD ZEVs relative to our reference case without the proposed
rule, which would also result in reductions of vehicle emissions of
non-GHG pollutants that contribute to ambient concentrations of ozone,
particulate matter (PM2.5), NO2, CO, and air
toxics. Exposure to these non-GHG pollutants is linked to adverse human
health impacts such as premature death as well as other adverse public
health and environmental effects (see Section VI). As shown in Table
ES-6, by 2055, when considering downstream, EGU, and refinery
emissions, we estimate a net decrease in emissions from all pollutants
modeled (i.e., NOX, PM2.5, VOC, and
SO2). In this year alone, the proposed standards would
reduce downstream PM2.5 by approximately 970 U.S. tons
(about 39 percent of heavy-duty sector downstream PM2.5
emissions) and downstream oxides of nitrogen (NOX) by over
70,000 U.S. tons (about 28 percent of heavy-duty sector downstream
NOX emissions) (see Section V of the preamble and Chapter 4
of the DRIA for more detail). These reductions in non-GHG emissions
from vehicles would reduce air pollution near roads. As described in
Section VI of this preamble, there is substantial evidence that people
who live or attend school near major roadways are more likely to be of
a non-White race, Hispanic ethnicity, and/or low socioeconomic status.
In addition, emissions from HD vehicles and engines can significantly
affect individuals living near truck freight routes. Based on a study
EPA conducted of people living near truck routes, an estimated 72
million people live within 200 meters of a truck freight route.\64\
Relative to the rest of the population, people of color and those with
lower incomes are more likely to live near truck routes.\65\ In
addition, children who attend school near major roads are
disproportionately
[[Page 25936]]
represented by children of color and children from low-income
households.\66\
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\64\ U.S. EPA (2021). Estimation of Population Size and
Demographic Characteristics among People Living Near Truck Routes in
the Conterminous United States. Memorandum to the Docket EPA-HQ-OAR-
2019-0055.
\65\ See Section VI.D for additional discussion on our analysis
of environmental justice impacts of this NPRM.
\66\ Kingsley, S., Eliot, M., Carlson, L. et al. Proximity of
U.S. schools to major roadways: a nationwide assessment. J Expo Sci
Environ Epidemiol 24, 253-259 (2014). https://doi.org/10.1038/jes.2014.5.
---------------------------------------------------------------------------
Similar to GHG emissions, we project that non-GHG emissions from
EGUs would increase as a result of the increased demand for electricity
associated with the proposal, and we expect those projected impacts to
decrease over time due to EGU regulations and changes in the future
power generation mix, including impacts of the IRA. We also project
that non-GHG emissions from refineries would decrease as a result of
the lower demand for liquid fuel associated with the proposed GHG
standards (Section V and DRIA Chapter 4).
Table ES-6--Projected Non-GHG Heavy-Duty Emission Impacts \a\ in Calendar Year 2055 Due to the Proposal
----------------------------------------------------------------------------------------------------------------
Downstream Net impact
Pollutant (U.S short EGU (U.S. Refinery (U.S. (U.S. short
tons) short tons) short tons) tons)
----------------------------------------------------------------------------------------------------------------
Nitrogen Oxides (NOX)........................... -71,000 790 -1,800 -72,000
Primary Exhaust PM2.5........................... -970 750 -440 -650
Volatile Organic Compounds (VOC)................ -21,000 750 -1200 -21,000
Sulfur Dioxide (SO2)............................ -520 910 -640 -250
----------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
We estimate that the present value, at 3 percent, of costs to
manufacturers would be $9 billion dollars before considering the IRA
battery tax credits. With those battery tax credits, which we estimate
to be $3.3 billion, the cost to manufacturers of compliance with the
program would be $5.7 billion. The manufacturer cost of compliance with
the proposed rule on a per-vehicle basis are shown in Table ES-7. We
estimate that the MY 2032 fleet average per-vehicle cost to
manufacturers by regulatory group would range between a cost savings
for LHD vocational vehicles to $2,300 for HHD vocational vehicles and
between $8,000 and $11,400 per tractor. EPA notes the projected costs
per vehicle for this proposal are similar to the fleet average per-
vehicle costs projected for the HD GHG Phase 2 rule, where the tractor
standards were projected to cost between $10,200 and $13,700 per
vehicle (81 FR 73621 (October 25, 2016)) and the MY 2027 vocational
vehicle standards were projected to cost between $1,486 and $5,670 per
vehicle (81 FR 73718 (October 25, 2016)). For this proposal, EPA finds
that the expected the additional vehicle costs are reasonable in light
of the GHG emissions reductions.\67\
---------------------------------------------------------------------------
\67\ For illustrative purposes, these average costs would
represent an approximate two percent increase for vocational
vehicles and 11 percent increase of tractors if we assume an
approximate minimum vehicle price of $100,000 for vocational
vehicles and $100,000 for tractors (81 FR 73482). We also note that
these average upfront costs are taken across the HD vehicle fleet
and are not meant as an indicator of average price increase.
Table ES-7--Manufacturer Costs To Meet the Proposed MY 2032 Standards Relative to the Reference Case
[2021$]
----------------------------------------------------------------------------------------------------------------
Incremental
ZEV adoption Per-ZEV Fleet-average
Regulatory group rate in manufacturer per-vehicle
technology RPE on manufacturer
package (%) average RPE
----------------------------------------------------------------------------------------------------------------
Light Heavy-Duty Vocational..................................... 45 -$9,515 -$4,326
Medium Heavy-Duty Vocational.................................... 24 1,358 326
Heavy Heavy-Duty Vocational..................................... 28 8,146 2,300
Day Cab Tractors................................................ 30 26,364 8,013
Sleeper Cab Tractors............................................ 21 54,712 11,445
----------------------------------------------------------------------------------------------------------------
The proposed GHG standards would reduce adverse impacts associated
with climate change and exposure to non-GHG pollutants and thus would
yield significant benefits, including those we can monetize and those
we are unable to quantify. Table ES-8 summarizes EPA's estimates of
total monetized discounted costs, operational savings, and benefits.
The results presented here project the monetized environmental and
economic impacts associated with the proposed program during each
calendar year through 2055. EPA estimates that the present value of
monetized net benefits to society would be approximately $320 billion
through the year 2055 (annualized net benefits of $17 billion through
2055), more than 5 times the cost in vehicle technology and associated
electric vehicle supply equipment (EVSE) combined. Regarding social
costs, EPA estimates that the cost of vehicle technology (not including
the vehicle or battery tax credits) and EVSE would be approximately $9
billion and $47 billion respectively, and that the HD industry would
save approximately $250 billion in operating costs (e.g., savings that
come from less liquid fuel used, lower maintenance and repair costs for
ZEV technologies as compared to ICE technologies, etc.). The program
would result in significant social benefits including $87 billion in
climate benefits (with the average SC-GHGs at a 3 percent discount
rate). Between $15 and $29 billion of the estimated total benefits
through 2055 are attributable to reduced emissions of non-GHG
pollutants, primarily those that contribute to ambient concentrations
of
[[Page 25937]]
PM2.5. Finally, the benefits due to reductions in energy
security externalities caused by U.S. petroleum consumption and imports
would be approximately $12 billion under the proposed program. A more
detailed description and breakdown of these benefits can be found in
Section VIII of the preamble and Chapter 7 of the DRIA.
Table ES-8--Monetized Discounted Costs, Benefits, and Net Benefits of the Proposed Program for Calendar Years
2027 Through 2055
[Billions of 2021 dollars] \a\ \b\ \c\ \d\ \e\
----------------------------------------------------------------------------------------------------------------
Present value Annualized value
---------------------------------------------------------------
3% Discount 7% Discount 3% Discount 7% Discount
rate rate rate rate
----------------------------------------------------------------------------------------------------------------
Vehicle Technology Costs........................ $9 $10 $0.47 $0.82
EVSE Costs...................................... 47 29 2.5 2.3
Operational Savings............................. 250 120 13 10
Energy Security Benefits........................ 12 6.0 0.62 0.49
GHG Benefits.................................... 87 87 4.6 4.6
Non-GHG Benefits................................ 15 to 29 5.8 to 11 0.78 to 1.5 0.47 to 0.91
Net Benefits.................................... 320 180 17 12
----------------------------------------------------------------------------------------------------------------
Notes:
\a\ Values rounded to two significant figures; totals may not sum due to rounding. Present and annualized values
are based on the stream of annual calendar year costs and benefits included in the analysis (2027-2055) and
discounted back to year 2027.
\b\ Climate benefits are based on reductions in CO2, CH4, and N2O emissions and are calculated using four
different estimates of the social cost of each GHG (SC-GHG model average at 2.5%, 3%, and 5% discount rates;
95th percentile at 3% discount rate), which each increase over time. In this table, we show the benefits
associated with the average SC-GHGs at a 3% discount rate, but the Agency does not have a single central SC-
GHG point estimate. We emphasize the importance and value of considering the benefits calculated using all
four SC-GHG estimates and present them later in this preamble. As discussed in Chapter 7 of the DRIA, a
consideration of climate benefits calculated using discount rates below 3 percent, including 2 percent and
lower, is also warranted when discounting intergenerational impacts. We note that in this proposal we are
using the SC-GHG estimates presented in the February 2021 Technical Support Document (TSD): Social Cost of
Carbon, Methane, and Nitrous Oxide Interim Estimates under E.O. 13990 (IWG 2021). For further discussion of SC-
GHG and how EPA accounted for these estimates, please refer to Section VII of this preamble.
\c\ The same discount rate used to discount the value of damages from future GHG emissions in this table (SC-
GHGs at 3% discount rate) is used to calculate the present and annualized values of climate benefits for
internal consistency, while all other costs and benefits are discounted at either 3% or 7%.
\d\ Non-GHG health benefits are presented based on two different long-term exposure studies of mortality risk: a
Medicare study (Wu et al., 2020) and a National Health Interview Survey study (Pope III et al., 2019). Non-GHG
impacts associated with the standards presented here do not include the full complement of health and
environmental effects that, if quantified and monetized, would increase the total monetized benefits. Instead,
the non-GHG benefits are based on benefit-per-ton values that reflect only human health impacts associated
with reductions in PM2.5 exposure.
\e\ Net benefits reflect the operational savings plus benefits minus costs. For presentational clarity, the
present and equivalent annualized value of net benefits for a 3 percent discount rate reflect benefits based
on the Pope III et al. study while the present and equivalent annualized value of net benefits for a 7 percent
discount rate reflect benefits based on the Wu et al. study.
Regarding the costs to purchasers as shown in Table ES-9, for the
proposed program we estimated the average upfront incremental cost to
purchase a new MY 2032 HD BEV or FCEV relative to an ICE vehicle for a
vocational BEV and EVSE, a short-haul tractor BEV and EVSE, a short-
haul tractor FCEV, and a long-haul tractor FCEV. These incremental
costs account for the IRA tax credits, specifically battery and vehicle
tax credits, as discussed in Section II.E.4 and Section IV.C and IV.D.
We also estimated the operational savings each year (i.e., savings that
come from the lower costs to operate, maintain, and repair BEV
technologies) and payback period (i.e., the year the initial cost
increase would pay back). Table ES-9 shows that for the vocational
vehicle ZEVs, short-haul tractor ZEVs, and long-haul tractor FCEVs the
incremental upfront costs (after the tax credits) are recovered through
operational savings such that pay back occurs after between one and
three years on average for vocational vehicles, after three years for
short-haul tractors and after seven years on average for long-haul
tractors. We discuss this in more detail in Sections II and IV of this
preamble and DRIA Chapters 2 and 3.
Table ES-9--MY 2032 Estimated Average Per-Vehicle Purchaser Upfront Cost and Annual Savings Difference Between
BEV/FCEV and ICE Technologies for the Proposed Program
[2021 dollars] \a\
----------------------------------------------------------------------------------------------------------------
Upfront Annual
vehicle cost Upfront EVSE Total upfront incremental Payback period
Regulatory group difference costs on costs on operating (year) on
(including tax average average costs on average
credits) average
----------------------------------------------------------------------------------------------------------------
LHD Vocational.................. -$9,608 $10,552 $944 -$4,043 1
MHD Vocational.................. -2,907 14,312 11,405 -5,397 3
HHD Vocational.................. -8,528 17,233 8,705 -7,436 2
Short Haul (Day Cab) Tractors... 582 16,753 17,335 -6,791 3
Long Haul (Sleeper Cab) Tractors 14,712 0 14,712 -2,290 7
----------------------------------------------------------------------------------------------------------------
\a\ Undiscounted dollars.
[[Page 25938]]
I. Introduction
A. Brief Overview of the Heavy-Duty Industry
Heavy-duty highway vehicles range from commercial pickup trucks to
vocational vehicles that support local and regional transportation,
construction, refuse collection, and delivery work, to line-haul
tractors (semi trucks) that move freight cross-country. This diverse
array of vehicles is categorized into weight classes based on gross
vehicle weight ratings (GVWR). These weight classes span Class 2b
pickup trucks and vans from 8,500 to 10,000 pounds GVWR through Class 8
line-haul tractors and other commercial vehicles that exceed 33,000
pounds GVWR. While Class 2b and 3 complete pickups and vans are not
included in this proposed rulemaking, Class 2b and 3 vocational
vehicles are included in this rulemaking (as discussed further in
Section III.E.3).\68\
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\68\ Class 2b and 3 vehicles with GVWR between 8,500 and 14,000
pounds are primarily commercial pickup trucks and vans and are
sometimes referred to as ``medium-duty vehicles''. The vast majority
of Class 2b and 3 vehicles are chassis-certified vehicles, and we
intend to include those vehicles in a combined light-duty and
medium-duty rulemaking action, consistent with E.O. 14037, Section
2a. Heavy-duty engines and vehicles are also used in nonroad
applications, such as construction equipment; nonroad heavy-duty
engines, equipment, and vehicles are not within the scope of this
NPRM.
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Heavy-duty highway vehicles are powered through an array of
different means. Currently, the HD vehicle fleet is primarily powered
by diesel-fueled, compression-ignition (CI) engines. However, gasoline-
fueled, spark-ignition (SI) engines are common in the lighter weight
classes, and smaller numbers of alternative fuel engines (e.g.,
liquified petroleum gas, compressed natural gas) are found in the
heavy-duty fleet. We refer to the vehicles powered by internal
combustion engines (ICE, including SI and CI engines) as ICE vehicles
throughout this preamble. An increasing number of HD vehicles are
powered by zero emission vehicle (ZEV) technologies such as battery
electric vehicle (BEV) technology, e.g., EPA certified 380 HD BEVs in
MY 2020 but that number jumped to 1,163 HD BEVs in MY 2021. We use the
term ZEV technologies throughout the preamble to refer to technologies
that result in zero tailpipe emissions, which in this preamble we refer
to collectively as ZEVs. Example ZEV technologies include BEVs and fuel
cell vehicles (FCEVs). While hybrid vehicles (including plug-in hybrid
electric vehicles) include energy storage features such as batteries,
they also include an ICE, which do not result in zero tailpipe
emissions.
The industry that designs and manufactures HD vehicles is composed
of three primary segments: vehicle manufacturers, engine manufacturers
and other major component manufacturers, and secondary manufacturers
(i.e., body builders). Some vehicle manufacturers are vertically
integrated--designing, developing, and testing their engines in-house
for use in their vehicles; others purchase some or all of their engines
from independent engine suppliers. At the time of this proposal, only
one major independent engine manufacturer supports the HD industry,
though some vehicle manufacturers sell their engines or ``incomplete
vehicles'' (i.e., chassis that include their engines, the frame, and a
transmission) to body builders who design and assemble the final
vehicle. Each of these subindustries is often supported by common
suppliers for subsystems such as transmissions, axles, engine controls,
and emission controls.
In addition to the manufacturers and suppliers responsible for
producing HD vehicles, an extended network of dealerships, repair and
service facilities, and rebuilding facilities contribute to the sale,
maintenance, and extended life of these vehicles and engines. HD
vehicle dealerships offer customers a place to order such vehicles from
a specific manufacturer and often include service facilities for those
vehicles and their engines. Dealership service technicians are
generally trained to perform regular maintenance and make repairs,
which generally include repairs under warranty and in response to
manufacturer recalls. Some trucking fleets, businesses, and large
municipalities hire their own technicians to service their vehicles in
their own facilities. Many refueling centers along major trucking
routes have also expanded their facilities to include roadside
assistance and service stations to diagnose and repair common problems.
The end-users for HD vehicles are as diverse as the applications
for which these vehicles are purchased. Smaller weight class HD
vehicles are commonly purchased by delivery services, contractors, and
municipalities. The middle weight class vehicles tend to be used as
commercial vehicles for business purposes and municipal work that
transport people and goods locally and regionally or provide services
such as utilities. Vehicles in the heaviest weight classes are
generally purchased by businesses with high load demands, such as
construction, towing or refuse collection, or freight delivery fleets
and owner-operators for regional and long-haul goods movement. The
competitive nature of the businesses and owner-operators that purchase
and operate HD vehicles means that any time at which the vehicle is
unable to operate due to maintenance or repair (i.e., downtime) can
lead to a loss in income. The customers' need for reliability drives
much of the vehicle manufacturers innovation and research efforts.
B. History of Greenhouse Gas Emission Standards for Heavy-Duty Engines
and Vehicles
EPA has a longstanding practice of regulating GHG emissions from
the HD sector. In 2009, EPA and the U.S. Department of Transportation's
(DOT's) National Highway Traffic Safety Administration (NHTSA) began
working on a joint regulatory program to reduce GHG emissions and fuel
consumption from HD vehicles and engines.\69\ The first phase of the HD
GHG and fuel efficiency program was finalized in 2011 (76 FR 57106,
September 15, 2011) (``HD GHG Phase 1'').\70\ The HD GHG Phase 1
program largely adopted approaches consistent with recommendations from
the National Academy of Sciences. The HD GHG Phase 1 program, which
began in MY 2014 and phased in through MY 2018, included separate
standards for HD vehicles and HD engines. The program offered
flexibility allowing manufacturers to attain these standards through a
mix of technologies and the option to participate in an emissions
credit ABT program.
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\69\ Greenhouse gas emissions from heavy-duty vehicles are
primarily carbon dioxide (CO2), but also include methane
(CH4), nitrous oxide (N2O), and
hydrofluorocarbons (HFC).
\70\ National Research Council; Transportation Research Board.
The National Academies' Committee to Assess Fuel Economy
Technologies for Medium- and Heavy-Duty Vehicles; ``Technologies and
Approaches to Reducing the Fuel Consumption of Medium- and Heavy-
Duty Vehicles.'' 2010. Available online: https://www.nap.edu/catalog/12845/technologies-and-approaches-to-reducing-the-fuel-consumption-of-medium-and-heavy-duty-vehicles.
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In 2016, EPA and NHTSA finalized the HD GHG Phase 2 program.\71\
The HD GHG Phase 2 program included technology-advancing, performance-
based emission standards for HD vehicles and HD engines that phase in
over the long term, with initial standards for most vehicles and
engines commencing in MY 2021, increasing in stringency in MY 2024, and
culminating in even more stringent MY 2027 standards. HD GHG Phase 2
built upon the Phase 1 program and set standards
[[Page 25939]]
based not only on then-currently available technologies, but also on
technologies that were either still under development or not yet widely
deployed at the time of the HD GHG Phase 2 final rule. To ensure
adequate time for technology development, HD GHG Phase 2 provided up to
10 years lead time to allow for the development and phase-in of these
control technologies. EPA recently finalized technical amendments to
the HD GHG Phase 2 rulemaking (``HD Technical Amendments'') that
included changes to the test procedures for heavy-duty engines and
vehicles to improve accuracy and reduce testing burden.\72\
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\71\ 81 FR 73478, October 25, 2016.
\72\ 86 FR 34308, June 29, 2021.
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As with the previous HD GHG Phase 1 and Phase 2 rules and light-
duty GHG rules, EPA has coordinated with the DOT and NHTSA during the
development of this proposed rule. This included coordination prior to
and during the interagency review conducted under E.O. 12866. EPA has
also consulted with CARB during the development of this proposal, as
EPA also did during the development of the HD GHG Phase 1 and 2 and
light-duty rules. See Section I.E for additional detail on EPA's
coordination with DOT/NHTSA, CARB, and additional Federal Agencies.
C. What has changed since we finalized the HD GHG Phase 2 rule?
In 2016, we established the HD GHG Phase 2 CO2 standards
on the premise that zero-emission technologies would not be available
and cost-competitive in significant volumes in the timeframe of the HD
GHG Phase 2 program but would become more widely available in the HD
market over time. To encourage that availability at faster pace, we
finalized BEV, PHEV, and FCEV advanced technology credit multipliers
for HD vehicles. As described in the Executive Summary and Section II
of this preamble, we have considered new data and recent policy changes
and we are now projecting that ZEV technologies will be readily
available and technologically feasible much sooner than we had
projected. We list the developments pointing to this increased
application of ZEV technologies again in the following paragraphs (and
we discuss their impacts on the HD market in more detail in the
Sections I.C.1 through I.C.3):
First, the HD market has evolved such that early ZEV models are in
use today for some applications and are expected to expand to many more
applications, ZEV technologies costs have gone down and are projected
to continue to fall, and manufacturers have announced plans to rapidly
increase their investments in ZEV technologies over the next decade.
For example, in 2022, several manufacturers are producing fully
electric HD vehicles in several applications, and these applications
are expected to expand (see Section I.C.1 and DRIA Chapter 1).
Furthermore, several HD manufacturers have announced their ZEV
projections that signify a rapid increase in BEVs over the next decade.
This increase in HD ZEVs is in part due to the significant decrease in
cost to manufacture lithium-ion batteries, the single most expensive
component of a BEV, in the past decade; those costs are projected to
continue to fall during this decade, all while the performance of these
batteries in terms of energy density has improved and is projected to
continue to improve.73 74 Many of the manufacturers who
produce HD vehicles and firms that purchase HD vehicles have announced
billions of dollars' worth of investments in ZEV technologies and
significant plans to transition to a zero-carbon fleet over the next
ten to fifteen years.\75\
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\73\ Mulholland, Eamonn. ``Cost of electric commercial vans and
pickup trucks in the United States through 2040.'' Page 7. January
2022. Available at https://theicct.org/wp-content/uploads/2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
\74\ Environmental Defense Fund. ``Technical Review of Medium-
and Heavy-Duty Electrification Costs for 2027-2030.'' February 2,
2022. Available online at: https://blogs.edf.org/climate411/files/2022/02/EDF-MDHD-Electrification-v1.6_20220209.pdf.
\75\ Environmental Defense Fund (2022) Electric Vehicle Market
Update: Manufacturer Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and Worldwide, September
2022, available online at: https://blogs.edf.org/climate411/files/2022/09/ERM-EDF-Electric-Vehicle-Market-Report_September2022.pdf.
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Second, the 2021 BIL and the 2022 IRA laws have been enacted, and
together these two laws provide significant and unprecedented monetary
incentives for the production and purchase of ZEVs in the HD market, as
well as incentives for electric vehicle charging and hydrogen, which
will further support a rapid increase in market penetration of ZEVs.
Third, there have been multiple actions by states to accelerate the
adoption of HD ZEVs. The State of California and other states have
adopted the ACT program that includes a manufacturer requirement for
zero-emission truck sales.76 77 The ACT program provides
that ``manufacturers who certify Class 2b-8 chassis or complete
vehicles with combustion engines would be required to sell zero-
emission trucks as an increasing percentage of their annual [state]
sales from 2024 to 2035.'' 78 79 In addition, 17 states and
the District of Columbia have signed a Memorandum of Understanding
establishing goals to support widespread electrification of the HD
vehicle market.\80\
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\76\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\77\ Oregon adopted ACT on 11/17/2021: https://www.oregon.gov/deq/rulemaking/Pages/ctr2021.aspx. Washington adopted ACT on 11/29/
2021: https://ecology.wa.gov/Regulations-Permits/Laws-rules-rulemaking/Rulemaking/WAC-173-423-400. New York adopted ACT on 12/
29/2021: https://www.dec.ny.gov/regulations/26402.html. New Jersey
adopted ACT on 12/20/2021: https://www.nj.gov/dep/rules/adoptions.html. Massachusetts adopted ACT on 12/30/2021: https://www.mass.gov/regulations/310-CMR-700-air-pollution-control#proposed-amendments-public-comment.
\78\ California Air Resources Board, Advanced Clean Trucks Fact
Sheet (August 20, 2021), available at https://ww2.arb.ca.gov/resources/fact-sheets/advanced-clean-trucks-fact-sheet. See also
California Air Resources Board, Final Regulation Order--Advanced
Clean Trucks Regulation. Filed March 15, 2021. Available at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\79\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023.
\80\ Multi-State MOU, available at https://www.nescaum.org/documents/mhdv-zev-mou-20220329.pdf/.
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We note that the improvements in internal combustion engine
technologies that began under the HD GHG Phase 1 program and are being
advanced under the HD GHG Phase 2 standards are still necessary for
reducing GHG emissions from the HD sector. As we discuss in Section
II.D.1, these technology improvements exist today and we believe they
will continue to be feasible during the timeframe at issue in this
proposed rulemaking.
1. The HD Zero-Emission Vehicle Market
Since 2012, manufacturers have developed a number of prototype and
demonstration HD BEV projects, particularly in the State of California,
establishing technological feasibility and durability of BEV technology
for specific applications used for specific services, as well as
building out necessary infrastructure.\81\ In 2019, approximately 60
makes and models of HD BEVs were available for purchase, with
additional product lines in prototype or other early development
stages.82 83 84 According to the Global
[[Page 25940]]
Commercial Vehicle Drive to Zero Zero-Emission Technology Inventory
(ZETI), 160 BEV models were commercially available on the market in the
United States and Canada region in 2021, and around 200 BEV models are
projected to be available by 2024.\85\ DRIA Chapter 1 provides a
snapshot of BEV models in the HD vehicle market.
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\81\ NACFE (2019) ``Guidance Report: Viable Class \7/8\
Electric, Hybrid and Alternative Fuel Tractors'', available online
at: https://nacfe.org/downloads/viable-class-7-8-alternative-vehicles/.
\82\ Nadel, S. and Junga, E. (2020). ``Electrifying Trucks: From
Delivery Vans to Buses to 18-Wheelers.'' American Council for an
Energy-Efficient Economy White Paper, available at: https://aceee.org/white-paper/electrifying-trucks-delivery-vans-buses-18.
\83\ The composition of all-electric truck models was: 36 buses,
10 vocational trucks, 9 step vans, 3 tractors, 2 street sweepers,
and 1 refuse truck (Nadel and Junga (2020) citing AFDC (Alternative
Fuels Data Center). 2018. ``Average Annual Vehicle Miles Traveled by
Major Vehicle Categories.'' www.afdc.energy.gov/data/widgets/10309.
\84\ Note that there are varying estimates of BEV and FCEV
models in the market; NACFE (2019) ``Guidance Report: Viable Class
\7/8\ Electric, Hybrid and Alternative Fuel Tractors'', available
at: https://nacfe.org/downloads/viable-class-7-8-alternative-vehicles/. (NACFE 2019) provided slightly lower estimates than those
included here from Nadel and Junga 2020. A recent NREL study
suggests that there may be more models available, but it is unclear
how many are no longer on the market since the inventory includes
vehicles introduced and used in commerce starting in 2012 (Smith et
al. 2019).
\85\ Global Commercial Vehicle Drive to Zero. ``ZETI Data
Explorer''. CALSTART. Version 1.1, accessed February 2023. Available
online: https://globaldrivetozero.org/tools/zeti-data-explorer/.
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Current production volumes of HD BEVs originally started increasing
in the transit bus market, where electric bus sales grew from 300 to
650 in the United States between 2018 to 2019.86 87 In 2020,
the market continued to expand beyond transit, with approximately 900
HD BEVs sold in the United States and Canada combined, consisting of
transit buses (54 percent), school buses (33 percent), and straight
trucks (13 percent).\88\ By 2021, M.J. Bradley's analysis of the HD BEV
market found that 30 manufacturers had at least one BEV model for sale
and an additional nine companies had made announcements to begin BEV
production by 2025.\89\ In April 2022, the Environmental Defense Fund
(EDF) projected deployments and major orders of electric trucks and
buses in the United States to rise to 54,000 by 2025 based on an
analysis of formal statements and announcements by auto manufacturers,
as well as analysis of the automotive press and data from financial and
market analysis firms that regularly cover the auto industry.\90\ Given
the dynamic nature of the BEV market, the number and types of vehicles
available are increasing fairly rapidly.\91\
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\86\ Tigue, K. (2019) ``U.S. Electric Bus Demand Outpaces
Production as Cities Add to Their Fleets'' Inside Climate News,
November 14. https://insideclimatenews.org/news/14112019/electric-bus-cost-savings-health-fuel-charging.
\87\ Note that ICCT (2020) estimates 440 electric buses were
sold in the U.S. and Canada in 2019, with 10 of those products being
FCEV pilots. The difference in estimates of number of electric buses
available in the U.S. may lie in different sources looking at
production vs. sales of units.
\88\ International Council on Clean Transportation. ``Fact
Sheet: Zero-Emission Bus and Truck Market in the United States and
Canada: A 2020 Update.'' Pages 3-4. May 2021.
\89\ M.J. Bradley and Associates (2021) ``Medium- and Heavy-Duty
Vehicles: Market Structure, Environmental Impact, and EV
Readiness.'' Page 21. July 2021.
\90\ Environmental Defense Fund. ``Electric Vehicle Market
Update: Manufacturer Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and Worldwide''. April
2022. Available online: https://blogs.edf.org/climate411/files/2022/04/electric_vehicle_market_report_v6_april2022.pdf.
\91\ Union of Concerned Scientists (2019) ``Ready for Work: Now
Is the Time for Heavy-Duty Electric Vehicles,'' available at
www.ucsusa.org/resources/ready-work.
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The current market for HD FCEVs is not as developed as the market
for HD BEVs, but models are being designed, tested, and readied for
purchase in the coming years. According to ZETI,\92\ at least 16 HD
FCEV models are expected to become commercially available for
production in the United States and Canada region by 2024, as listed in
DRIA Chapter 1. The Hydrogen Fuel Cell Partnership reports that fuel
cell electric buses have been in commercial development for 20 years
and, as of May 2020, over 100 buses are in operation or in planning in
the United States.\93\ Foothill Transit in Los Angeles County ordered
33 transit buses that they expect to be operating in early 2023.\94\
Ten Toyota-Kenworth Class 8 fuel cell tractors were successfully tested
in the Port of Los Angeles and surrounding area through 2022.\95\
Hyundai is scheduled to test 30 Class 8 tractors in the Port of Oakland
in 2023.\96\ Nikola has agreements with fleets to purchase or lease
over 200 Class 8 trucks upon satisfactory completion of demonstrations
97 98 99 and is building a manufacturing facility in
Coolidge, Arizona, with an expected production capacity of up to 20,000
BEV and FCEV trucks by the end of 2023.\100\
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\92\ Global Commercial Vehicle Drive to Zero. ``ZETI (Zero-
Emission Technology Inventory)''. CALSTART. Version 8.0, accessed
November 2022. Available online: https://globaldrivetozero.org/tools/zeti/.
\93\ Hydrogen Fuel Cell Partnership. ``Buses & Trucks''.
Available online: https://h2fcp.org/buses_trucks.
\94\ Scauzillo, Steve. ``First hydrogen-powered transit bus in
LA County hits streets in December, starting new trend''. San
Gabriel Valley Tribune. November 22, 2022. Available online: https://ourcommunitynow.com/post/first-hydrogen-powered-transit-bus-in-la-county-hits-streets-in-december-starting-new-trend.
\95\ Heavy Duty Trucking. ``FCEV Drayage Trucks Prove Themselves
in LA Port Demonstration Project.'' HDT Truckinginfo. September 22,
2022. Available online: https://www.truckinginfo.com/10181655/fcev-drayage-trucks-prove-themselves-in-la-port-demonstration-project.
\96\ Hyundai. ``Hyundai Motors Details Plans to Expand into U.S.
Market with Hydrogen-powered XCIENT Fuel Cells at ACT Expo.'' May
10, 2022. Available online: https://www.hyundai.com/worldwide/en/company/newsroom/hyundai-motor-details-plans-to-expand-into-u.s.-market-with-hydrogen-powered-xcient-fuel-cells-at-act-expo-0000016825.
\97\ Heavy Duty Trucking. ``Pennsylvania Flatbed Carrier to
Lease 100 Nikola Tre FCEVs.'' HDT Truckinginfo. October 14, 2021.
Available online: https://www.truckinginfo.com/10153974/pennsylvania-flatbed-carrier-to-lease-100-nikola-tre-evs.
\98\ Green Car Congress. ``Covenant Logistics Group signs letter
of intent for 10 Nikola Tre BEVs and 40 Tre FCEVs.'' January 12,
2022. Available online: https://www.greencarcongress.com/2022/01/20220112-covenant.html.
\99\ Adler, Alan. ``Plug Power will buy up to 75 Nikola fuel
cell trucks.'' Freightwaves. December 15, 2022. Available online;
https://www.freightwaves.com/news/plug-power-will-buy-up-to-75-nikola-fuel-cell-trucks.
\100\ Nikola. ``Nikola Corportation Celebrates the Customer
Launch of Serial Production in Coolidge, Arizona.'' April 27, 2022.
Available online: https://nikolamotor.com/press_releases/nikola-
corporation-celebrates-the-customer-launch-of-serial-production-in-
coolidge-arizona-
163#:~:text=Phase%201%20of%20the%20Coolidge,per%20year%20on%20two%20s
hifts.
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For this proposed rulemaking, EPA conducted an analysis of
manufacturer-supplied end-of-year production reports provided to us as
a requirement of the process to certify HD vehicles to our GHG emission
standards.\101\ Based on the end-of-year production reports for MY
2019, manufacturers produced approximately 350 certified HD BEVs. This
is out of nearly 615,000 HD diesel ICE vehicles produced in MY 2019 and
represents approximately 0.06 percent of the HD vehicles market. In MY
2020, 380 HD BEVs were certified, an increase of 30 BEVs from 2019. The
BEVs were certified in a variety of the Phase 1 vehicle subcategories,
including light, medium, and heavy heavy-duty vocational vehicles and
vocational tractors. Out of the 380 HD BEVs certified in MY 2020, a
total of 177 unique makes and models were available for purchase by 52
manufacturers in Classes 3-8. In MY 2021, EPA certified 1,163 heavy-
duty BEVs, representing 0.2 percent of the HD vehicles. There were no
HD FCEVs certified through MY 2021. We note that these HD BEV
certifications preceded implementation of incentives in the 2022 IRA,
which we expect to increase adoption (and certification) of BEV and
FCEV technology in the heavy-duty sector.
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\101\ Memo to Docket. Heavy-Duty Greenhouse Gas Emissions
Certification Data. March 2023. Docket EPA-HQ-OAR-2022-0985.
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Based on current trends, manufacturer announcements, the 2021 BIL
and 2022 IRA, and state-level actions, electrification of the HD market
is
[[Page 25941]]
expected to substantially increase over the next decade from current
levels. The projected rate of growth in electrification of the HD
vehicle sector currently varies widely. After passage of the IRA, EDF's
September 2022 report update projected deployments and major orders of
electric trucks and buses to rise to 166,000 by the end of 2022.\102\
ERM updated an analysis for EDF that projected five scenarios that span
a range of between 13 and 48 percent Class 4-8 ZEV sales in 2029, with
an average of 29 percent.\103\ The International Council for Clean
Transportation (ICCT) and Energy Innovation conducted an analysis of
the impact of the IRA on electric vehicle uptake, projecting between 39
and 48 percent Class 4-8 ZEV sales in 2030 across three scenarios and
between 47 and 56 percent in 2035.\104\
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\102\ Environmental Defense Fund. ``Electric Vehicle Market
Update: Manufacturer Commitments and Public Policy Initiatives
Supporting Electric Mobility in the U.S. and Worldwide''. September
2022. Available online: https://blogs.edf.org/climate411/files/2022/09/ERM-EDF-Electric-Vehicle-Market-Report_September2022.pdf.
\103\ Robo, Ellen and Dave Seamonds. Technical Memo to
Environmental Defense Fund: Investment Reduction Act Supplemental
Assessment: Analysis of Alternative Medium- and Heavy-Duty Zero-
Emission Vehicle Business-As-Usual Scenarios. ERM. August 19, 2022.
Available online: https://www.erm.com/contentassets/154d08e0d0674752925cd82c66b3e2b1/edf-zev-baseline-technical-memo-addendum.pdf.
\104\ ICCT and Energy Innovation. ``Analyzing the Impact of the
Inflation Reduction Act on Electric Vehicle Uptake in the United
States''. January 2023. Available online: https://theicct.org/wp-content/uploads/2023/01/ira-impact-evs-us-jan23-2.pdf.
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One of the most important factors influencing the extent to which
BEVs are available for purchase and able to enter the market is the
cost of lithium-ion batteries, the single most expensive component of a
BEV. According to Bloomberg New Energy Finance, average lithium-ion
battery costs have decreased by more than 85 percent since 2010,
primarily due to global investments in battery production and ongoing
improvements in battery technology.\105\ A number of studies, including
the Sharpe and Basma meta-study of direct manufacturing costs from a
variety of papers, show that battery pack costs are projected to
continue to fall during this decade.106 107 108 Cost
reductions in battery packs for electric trucks are anticipated due to
continued improvement of cell and battery pack performance and
advancements in technology associated with energy density, materials
for cells, and battery packaging and integration.\109\
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\105\ Bloomberg. ``Battery Pack Prices Cited Below $100/kWh for
the First Time in 2020, While Market Average Sits at $137/kWh''.
Available online: https://about.bnef.com/blog/battery-pack-prices-cited-below-100-kwh-for-the-first-time-in-2020-while-market-average-sits-at-137-kwh/.
\106\ Mulholland, Eamonn. ``Cost of electric commercial vans and
pickup trucks in the United States through 2040.'' Page 7. January
2022. Available at https://theicct.org/wp-content/uploads/2022/01/cost-ev-vans-pickups-us-2040-jan22.pdf.
\107\ Environmental Defense Fund. ``Technical Review of Medium-
and Heavy-Duty Electrification Costs for 2027-2030.'' February 2,
2022. Available online: https://blogs.edf.org/climate411/files/2022/02/EDF-MDHD-Electrification-v1.6_20220209.pdf.
\108\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation, Working Paper 2022-09 (February 2022). Available
online: https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
\109\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation. https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
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Currently, the fuel cell stack is the most expensive component of a
HD FCEV, due primarily to the technological requirements of
manufacturing rather than raw material costs.\110\ Projected costs are
expected to decrease as manufacturing matures and materials
improve.\111\ Larger production volumes are anticipated as global
demand increases for fuel cell systems for HD vehicles, which would
improve economies of scale.\112\ Costs of the onboard hydrogen storage
tank, another component unique to a FCEV, are also projected to drop
due to lighter weight and lower cost carbon fiber-reinforced materials,
technology improvements, and economies of scale.\113\
---------------------------------------------------------------------------
\110\ Deloitte China. ``Fueling the Future of Mobility: Hydrogen
and fuel cell solutions for transportation, Volume 1''. 2020.
Available online: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/finance/deloitte-cn-fueling-the-future-of-mobility-en-200101.pdf.
\111\ Sharpe, Ben and Hussein Basma. ``A Meta-Study of Purchase
Costs for Zero-Emission Trucks''. The International Council on Clean
Transportation. February 2022. Available online: https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
\112\ Deloitte China. ``Fueling the Future of Mobility: Hydrogen
and fuel cell solutions for transportation, Volume 1''. 2020.
Available online: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/finance/deloitte-cn-fueling-the-future-of-mobility-en-200101.pdf.
\113\ Ibid.
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As the cost of components has come down, manufacturers have
increasingly announced their projections for zero-emission HD vehicles,
and these projections signify a rapid increase in BEVs and FCEVs over
the next decade. For example, Volvo Trucks and Scania announced a
global electrification target of 50 percent of trucks sold being
electric by 2030.\114\ Daimler Trucks North America has committed to
offering only what they refer to as ``carbon-neutral'' trucks in the
United States. by 2039 and expects that by 2030 as much as 60 percent
of its sales will be ZEVs.115 116 Navistar has a goal of
having 50 percent of its sales volume be ZEVs by 2030, and it has
committed to achieve 100 percent zero emissions by 2040.\117\ Cummins
targets net-zero carbon emissions by 2050.118 119
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\114\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html; AB Volvo, `Volvo
Trucks Launches Electric Truck with Longer Range,' Volvo Group,
January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\115\ David Cullen, `Daimler to Offer Carbon Neutral Trucks by
2039,' (October 25, 2019). https://www.truckinginfo.com/343243/daimler-aims-to-offer-only-co2-neutral-trucks-by-2039-in-key-markets.
\116\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\117\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
\118\ Cummins, Inc. ``Cummins Unveils New Environmental
Sustainability Strategy to Address Climate Change, Conserve Natural
Resources.'' November 14, 2019. Last accessed on September 10, 2021
at https://www.cummins.com/news/releases/2019/11/14/cummins-unveils-new-environmental-sustainability-strategy-address-climate.
\119\ Environmental Defense Fund (2022) September 2022 Electric
Vehicle Market Update: Manufacturer Commitments and Public Policy
Initiatives Supporting Electric Mobility in the U.S. and Worldwide,
available online at: https://blogs.edf.org/climate411/files/2022/09/ERM-EDF-Electric-Vehicle-Market-Report_September2022.pdf.
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On a parallel path, large private HD fleet owners are also
increasingly committing to expanding their electric fleets.\120\ A
report by the International Energy Agency (IEA) provides a
comprehensive accounting of recent announcements made by UPS, FedEx,
DHL, Walmart, Anheuser-Busch, Amazon, and PepsiCo for fleet
electrification.\121\ Amazon and UPS, for example, placed orders in
2020 for 10,000 BEV delivery vans from EV start-ups Rivian and Arrival,
respectively, and Amazon has plans to scale up to 100,000 BEV vans by
2030.122 123
[[Page 25942]]
Likewise, in December 2022, PepsiCo added the first of 100 planned
Tesla Semis to its fleet.\124\ These announcements include not only
orders for electric delivery vans and semi-trucks, but more specific
targets and dates to full electrification or net-zero emissions.
Amazon, FedEx, DHL, and Walmart have set a commitment to fleet
electrification and/or achieving net-zero emissions by
2040.125 126 127 128 We recognize that certain delivery vans
will likely fall into the Class 2b and 3 regulatory category, the vast
majority of which are not covered in this rule's proposed updates; we
intend to address this category in a separate light and medium-duty
vehicle rulemaking.\129\
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\120\ Environmental Defense Fund (2021) EDF analysis finds
American fleets are embracing electric trucks. July 28, 2021.
Available online at: https://blogs.edf.org/energyexchange/2021/07/28/edf-analysis-finds-american-fleets-are-embracing-electric-trucks/
.
\121\ International Energy Association. Global EV Outlook 2021.
April 2021. Available online at: https://iea.blob.core.windows.net/assets/ed5f4484-f556-4110-8c5c-4ede8bcba637/GlobalEVOutlook2021.pdf.
\122\ Amazon, Inc. ``Introducing Amazon's first custom electric
delivery vehicle.'' October 8, 2020. Last accessed on October 18,
2022 at https://www.aboutamazon.com/news/transportation/introducing-amazons-first-custom-electric-delivery-vehicle.
\123\ Arrival Ltd. ``UPS invests in Arrival and orders 10,000
Generation 2 Electric Vehicles.'' April 24, 2020. Last accessed on
October 18, 2022 at https://arrival.com/us/en/news/ups-invests-in-arrival-and-orders-10000-generation-2-electric-vehicles.
\124\ Akash Sriram. ``Musk delivers first Tesla truck, but no
update on output, pricing.'' Reuters. December 2, 2022. Last
accessed on January 4, 2023 at https://www.reuters.com/business/autos-transportation/musk-delivers-first-tesla-semi-trucks-2022-12-02/.
\125\ Robo, Ellen and Dave Seamonds. Technical Memo to
Environmental Defense Fund: Investment Reduction Act Supplemental
Assessment: Analysis of Alternative Medium- and Heavy-Duty Zero-
Emission Vehicle Business-As-Usual Scenarios. ERM. August 19, 2022.
Available online: https://www.erm.com/contentassets/154d08e0d0674752925cd82c66b3e2b1/edf-zev-baseline-technical-memo-addendum.pdf.
\126\ FedEx Corp. ``FedEx Commits to Carbon-Neutral Operations
by 2040.'' March 3, 2021. Last accessed on October 18, 2022 at
https://newsroom.fedex.com/newsroom/asia-english/sustainability2021.
\127\ Deutsche Post DHL Group. ``Zero emissions by 2050: DHL
announces ambitious new environmental protection target.'' March
2017. Last accessed on October 18, 2022 at https://www.dhl.com/global-en/delivered/sustainability/zero-emissions-by-2050.html.
\128\ Walmart Inc. ``Walmart Sets Goal to Become a Regenerative
Company.'' September 21, 2020. Last accessed on October 18, 2022 at
https://corporate.walmart.com/newsroom/2020/09/21/walmart-sets-goal-to-become-a-regenerative-company.
\129\ Complete heavy-duty vehicles at or below 14,000 pounds.
GVWR are chassis-certified under 40 CFR part 86, while incomplete
vehicles at or below 14,000 pounds. GVWR may be certified to either
40 CFR part 86 (meeting standards under subpart S) or 40 CFR part
1037 (installed engines would then need to be certified under 40 CFR
part 1036). Class 2b and 3 vehicles are primarily chassis-certified
complete commercial pickup trucks and vans. We intend to pursue a
combined light-duty and medium-duty rulemaking to set more stringent
standards for complete and incomplete vehicles at or below 14,000
pounds. GVWR that are certified under 40 CFR part 86, subpart S. The
standards proposed in this rule would apply for all heavy-duty
vehicles above 14,000 pounds. GVWR, except as noted in 40 CFR
1037.150(l). The proposed standards in this rule would also apply
for incomplete heavy-duty vehicles at or below 14,000 pounds. GVWR
if vehicle manufacturers opt to certify those vehicles under 40 CFR
part 1037 instead of certifying under 40 CFR part 86, subpart S.
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Amazon and Walmart are among fleets owners and operators that are
also considering hydrogen. Amazon signed an agreement with Plug
Power,\130\ a company building an end-to-end hydrogen ecosystem, to
supply hydrogen for up to 800 HD long-haul trucks or 30,000 forklifts
(which are commonly powered using hydrogen) starting in 2025 through
2040.\131\ Walmart is purchasing hydrogen from Plug Power \132\ and
plans to expand pilots of fuel cell forklifts, yard trucks, and
possibly HD long-haul trucks by 2040.\133\ Plug Power has agreed to
purchase up to 75 Nikola Class 8 fuel cell trucks over the next three
years in exchange for supplying the company with hydrogen fuel.\134\
---------------------------------------------------------------------------
\130\ Plug Power. ``Plug and Amazon Sign Green Hydrogen
Agreement''. Available online: https://www.ir.plugpower.com/press-releases/news-details/2022/Plug-and-Amazon-Sign-Green-Hydrogen-Agreement/default.aspx.
\131\ Amazon. ``Amazon adopts green hydrogen to help decarbonize
its operations''. August 25, 2022. Available online: https://www.aboutamazon.com/news/sustainability/amazon-adopts-green-hydrogen-to-help-decarbonize-its-operations.
\132\ Plug Power. ``Plug Supplies Walmart with Green Hydrogen to
Fuel Retailer's Fleet of Material Handling Lift Trucks''. April 19,
2022. Available online: https://www.ir.plugpower.com/press-releases/news-details/2022/Plug-Supplies-Walmart-with-Green-Hydrogen-to-Fuel-Retailers-Fleet-of-Material-Handling-Lift-Trucks/default.aspx.
\133\ Proactive. ``WalMart eyes benefits of hydrogen delivery
vehicles in wider trials''. Proactive 13:17. June 8, 2022. Available
online: https://www.proactiveinvestors.co.uk/companies/news/984360/walmart-eyes-benefits-of-hydrogen-delivery-vehicles-in-wider-trials-984360.html.
\134\ Adler, Alan. ``Plug Power will buy up to 75 Nikola fuel
cell trucks''. Freightwaves. December 15, 2022. Available online:
https://www.freightwaves.com/news/plug-power-will-buy-up-to-75-nikola-fuel-cell-trucks.
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The lifetime total cost of ownership (TCO), which includes
maintenance and fuel costs, is likely a primary factor for HD vehicle
and fleet owners considering BEV and FCEV purchases. In fact, a 2018
survey of fleet owners showed ``lower cost of ownership'' as the second
most important motivator for electrifying their fleet.\135\ An ICCT
analysis from 2019 suggests that TCO for light and medium heavy-duty
BEVs could reach cost parity with comparable diesel ICE vehicles in the
early 2020s, while heavy HD BEVs and FCEVs are likely to reach cost
parity with comparable diesel ICE vehicles closer to the 2030
timeframe.\136\ Recent findings from Phadke et al. suggest that BEV TCO
could be 13 percent less than that of a comparable diesel ICE vehicle
if electricity pricing is optimized.\137\ These studies do not consider
the IRA. The Rocky Mountain Institute found that because of the IRA,
the TCO of electric trucks will be lower than the TCO of comparable
diesel trucks about five years faster than without the IRA. They expect
cost parity as soon as 2023 for urban and regional duty cycles that
travel up to 250 miles and 2027 for long-hauls that travel over 250
miles.\138\
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\135\ The primary motivator for fleet managers was
``Sustainability and environmental goals''; the survey was conducted
by UPS and GreenBiz.
\136\ ICCT (2019) ``Estimating the infrastructure needs and
costs for the launch of zero-emissions trucks''; available online
at: https://theicct.org/publications/zero-emission-truck-infrastructure.
\137\ Phadke, A., et. al. (2021) ``Why Regional and Long-Haul
Trucks are Primed for Electrification Now''; available online at:
https://eta-publications.lbl.gov/sites/default/files/updated_5_final_ehdv_report_033121.pdf.
\138\ Kahn, Ari, et. al. ``The Inflation Reduction Act Will Help
Electrify Heavy-Duty Trucking''. Rocky Mountain Institute. August
25, 2022. Available online: https://rmi.org/inflation-reduction-act-will-help-electrify-heavy-duty-trucking/.
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As the ICCT and Phadke et al. studies suggest, fuel costs are an
important part of TCO. While assumptions about vehicle weight and size
can make direct comparisons between HD ZEVs and ICE vehicles
challenging, data show greater energy efficiency of battery-electric
and fuel cell technology relative to ICE
technologies.139 140 Better energy efficiency leads to lower
electricity or hydrogen fuel costs for ZEVs relative to ICE fuel
costs.141 142 Maintenance and service costs are also an
important component within TCO; although there is limited data
available on actual maintenance costs for HD ZEVs, early experience
with BEV medium HD vehicles and transit buses suggests the potential
for lower maintenance costs after an initial period of learning to
refine both component durability and maintenance procedures.\143\ We
expect similar trends for FCEVs, as discussed in Chapter 2 of the DRIA.
To facilitate HD fleets transitioning to ZEVs, some manufacturers are
currently including maintenance in leasing agreements with fleets; it
is unclear the extent to which a full-service leasing model will
persist or will be transitioned to a more
[[Page 25943]]
traditional purchase model after an initial period of
learning.144 145
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\139\ NACFE (2019) ``Guidance Report: Viable Class 7/8 Electric,
Hybrid and Alternative Fuel Tractors'', available online at: https://nacfe.org/downloads/viable-class-7-8-alternative-vehicles/.
\140\ Nadel, S. and Junga, E. (2020) ``Electrifying Trucks: From
Delivery Vans to Buses to 18-Wheelers''. American Council for an
Energy-Efficient Economy White Paper, available online at: https://aceee.org/white-paper/electrifying-trucks-delivery-vans-buses-18.
\141\ NACFE (2019) ``Guidance Report: Viable Class 7/8 Electric,
Hybrid and Alternative Fuel Tractors'', available online at: https://nacfe.org/downloads/viable-class-7-8-alternative-vehicles/.
\142\ Nadel, S. and Junga, E. (2020) ``Electrifying Trucks: From
Delivery Vans to Buses to 18-Wheelers''. American Council for an
Energy-Efficient Economy White Paper, available online at: https://aceee.org/white-paper/electrifying-trucks-delivery-vans-buses-18.
\143\ U.S. Department of Energy Alternative Fuels Data Center
(AFDC), ``Developing Infrastructure to Charge Plug-In Electric
Vehicles'', https://afdc.energy.gov/fuels/electricity_infrastructure.html (accessed 2-27-20).
\144\ Fisher, J. (2019) ``Volvo's First Electric VNR Ready for
the Road.'' Fleet Owner, September 17. www.fleetowner.com/blue-fleets/volvo-s-first-electric-vnr-ready-road.
\145\ Gnaticov, C. (2018). ``Nikola One Hydrogen Electric Semi
Hits the Road in Official Film.'' Carscoops, Jan. 26.
www.carscoops.com/2018/01/nikola-one-hydrogen-electric-semi-hits-road-official-film/.
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The growth in incentive programs will continue to play an important
role in the HD ZEV market. For example, as discussed in more detail in
this section, FHWA-approved plans providing $1.5 billion in funding for
expanding charging on over 75,000 miles of highway encourages states to
consider station designs and power levels that could support heavy-duty
vehicles. In a 2017 survey of fleet managers, upfront purchase price
was listed as the primary barrier to HD fleet electrification. This
suggests that federal incentive programs like those in the BIL and IRA
(discussed in Section I.C.2) to offset ZEV purchase costs, as well as
state and local incentives and investments, can be influential in the
near term, with improvements in BEV and FCEV component costs playing an
increasing role in reducing costs in the longer term.146 147
For example, BEV incentive programs for transit and school buses have
experienced growth and are projected to continue to influence BEV
markets. The Los Angeles Department of Transportation (LADOT) is one of
the first transit organizations in the country to develop a program
committed to transitioning its transit fleets to ZEVs by 2030--a target
that is 10 years sooner than CARB's Innovative Clean Transportation
(ICT) regulation requiring all public transit to be electric by
2040.\148\ Since these announcements, LADOT has purchased 27 BEV
transit and school buses from BYD and Proterra; by 2030, the number of
BEV buses in the LADOT fleet is expected to grow to 492 buses. Outside
of California, major metropolitan areas including Chicago, Seattle, New
York City, and Washington, DC, have zero-emissions transit programs
with 100 percent ZEV target dates ranging from 2040 to
2045.149 150 151 152 EV school bus programs, frequently in
partnership with local utilities, are also being piloted across the
country and are expanding under EPA's Clean School Bus Program
(CSB).\153\ These programs initially included school districts in, but
not limited to, California, Virginia, Massachusetts, Michigan,
Maryland, Illinois, New York, and
Pennsylvania.154 155 156 157 158 Going forward, they will
continue to expand with BIL funding of over $5 billion over the next
five years (FY 2022-2026) to replace existing school buses with zero-
emission and low-emission models, as discussed more in Section I.C.2.
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\146\ Other barriers that fleet managers prioritized for fleet
electrification included: Inadequate charging infrastructure--our
facilities, inadequate product availability, inadequate charging
infrastructure--public; for the full list of top barriers see Nadel
and Junga (2020), citing UPS and GreenBiz 2018.
\147\ Nadel, S. and Junga, E. (2020) ``Electrifying Trucks: From
Delivery Vans to Buses to 18-Wheelers''. American Council for an
Energy-Efficient Economy White Paper, available online at: https://aceee.org/white-paper/electrifying-trucks-delivery-vans-buses-18.
\148\ LADOT, (2020). ``LADOT Transit Zero-Emission Bus Rollout
Plan'' https://ww2.arb.ca.gov/sites/default/files/2020-12/LADOT_ROP_Reso_ADA12172020.pdf.
\149\ Sustainable Bus. ``CTA Chicago tests electric buses and
pursues 100% e-fleet by 2040''. April 29, 2021. Available online:
https://www.sustainable-bus.com/electric-bus/cta-chicago-electric-buses/.
\150\ Pascale, Jordan. ``Metro Approves Plans For Fully Electric
Bus Fleet By 2045''. DCist. June 10, 2021. Available online: https://dcist.com/story/21/06/10/metro-goal-entirely-electric-bus-fleet-2045/.
\151\ King County Metro. ``Transitioning to a zero-emissions
fleet''. Available online: https://kingcounty.gov/depts/transportation/metro/programs-projects/innovation-technology/zero-emission-fleet.aspx.
\152\ Hallum, Mark. ``MTA's recent purchase of zero emissions
buses will be 33% bigger than expected''. AMNY. May 25, 2021.
Available online: https://www.amny.com/transit/mta-says-45-to-60-more-buses-in-recent-procurement-will-be-zero-emissions/.
\153\ U.S. Environmental Protection Agency. ``Clean School Bus
Program''. Available online: https://www.epa.gov/cleanschoolbus.
\154\ Commonwealth of Massachusetts. ``EV Programs &
Incentives''. Available online: https://www.mass.gov/info-details/ev-programs-incentives.
\155\ Morris, Charles. ``NYC's new school bus contract includes
electric bus pilot''. Charged--Electric Vehicles Magazine. July 7,
2021. Available online: https://chargedevs.com/newswire/nycs-new-school-bus-contract-includes-electric-bus-pilot/.
\156\ Soneji, Hitesh, et. al. ``Pittsburg USD Electric School
Bus Final Project Report''. Olivine, Inc. September 23, 2020.
Available online: https://olivineinc.com/wp-content/uploads/2020/10/Pittsburg-USD-Electric-School-Bus-Final-Project-Report-Final.pdf.
\157\ Shahan, Cynthia. ``Largest Electric School Bus Program in
United States Launching in Virginia''. CleanTechnica. January 12,
2020. Available online: https://cleantechnica.com/2020/01/12/largest-electric-school-bus-program-in-united-states-launching-in-virginia/.
\158\ St. John, Jeff. ``Highland Electric Raises $235M, Lands
Biggest Electric School Bus Contract in the US''. gtm. February 25,
2021. Available online: https://www.greentechmedia.com/articles/read/on-heels-of-253m-raise-highland-electric-lands-biggest-electric-school-bus-contract-in-the-u.s.
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In summary, the HD ZEV market is growing rapidly, and ZEV
technologies are expected to expand to many applications across the HD
sector. As the industry is dynamic and changing rapidly, the examples
presented here represent only a sampling of the ZEV HD investment
policies and markets. DRIA Chapter 1 provides a more detailed
characterization of the HD ZEV technologies in the current and
projected ZEV market. We request comment on our assessment of the HD
ZEV market and any additional data sources we should consider.
2. Bipartisan Infrastructure Law and Inflation Reduction Act
i. BIL
The BIL \159\ was enacted on November 15, 2021, and contains
provisions to support the deployment of low- and zero-emission transit
buses, school buses, and trucks that service ports, as well as electric
vehicle charging infrastructure and hydrogen. These provisions include
Section 71101 funding for EPA's Clean School Bus Program,\160\ with $5
billion to fund the replacement of ICE school buses with clean and
zero-emission buses over the next five years. In its first phase of
funding for the Clean School Bus Program, EPA is issuing nearly $1
billion in rebates (up to a maximum of $375,000 per bus, depending on
the bus fuel type, bus size, and school district prioritization status)
\161\ for replacement clean and zero-emission buses and associated
infrastructure costs.162 163 The BIL also includes funding
for DOT's Federal Transit Administration (FTA) Low- or No-Emission
Grant Program,\164\ with over $5.6 billion over the next five years to
support the purchase of zero- or low-emission transit buses and
associated infrastructure.\165\
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\159\ United States, Congress. Public Law 117-58. Infrastructure
Investment and Jobs Act of 2021. Congress.gov, www.congress.gov/bill/117th-congress/house-bill/3684/text. 117th Congress, House
Resolution 3684, passed 15 Nov. 2021.
\160\ U.S. Environmental Protection Agency. ``Clean School Bus
Program''. Available online: https://www.epa.gov/cleanschoolbus.
\161\ U.S. Environmental Protection Agency. ``2022 Clean School
Bus (CSB) Rebates Program Guide''. May 2022. Available online:
https://nepis.epa.gov/Exe/ZyPDF.cgi/P1014WNH.PDF?Dockey=P1014WNH.PDF.
\162\ Some recipients are able to claim up to $20,000 per bus
for charging infrastructure.
\163\ U.S. Environmental Protection Agency, ``EPA Clean School
Bus Program Second Report to Congress Fiscal Year 2022,'' EPA-420-R-
23-002, February 2023. Available online: https://www.epa.gov/system/files/documents/2023-02/420r23002.pdf (last accessed February 9,
2023).
\164\ U.S. Department of Transportation, Federal Transit
Administration. ``Low or No Emission Vehicle Program--5339(c)''.
Available online: https://www.transit.dot.gov/lowno (last accessed
February 10, 2023).
\165\ U.S. Department of Transportation, Federal Transit
Administration. ``Bipartisan Infrastructure Law Fact Sheet: Grants
for Buses and Bus Facilities''. Available online: https://www.transit.dot.gov/funding/grants/fact-sheet-buses-and-bus-facilities-program (last accessed February 10, 2023).
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The BIL includes up to $7.5 billion to help build out a national
network of EV
[[Page 25944]]
charging and hydrogen fueling through DOT's Federal Highway
Administration (FHWA). This includes $2.5 billion in discretionary
grant programs for charging and fueling infrastructure \166\ along
designated alternative fuel corridors and in communities (Section
11401) \167\ and $5 billion for the National Electric Vehicle
Infrastructure (NEVI) Formula Program (under Division J, Title
VIII).\168\ In September 2022, the FHWA approved the first set of plans
for the NEVI program covering all 50 states, Washington, DC, and Puerto
Rico. The approved plans provide $1.5 billion in funding for fiscal
years (FY) 2022 and 2023 to expand charging on over 75,000 miles of
highway.\169\ While jurisdictions are not required to build stations
specifically for heavy-duty vehicles, FHWA's guidance encourages states
to consider station designs and power levels that could support heavy-
duty vehicles.\170\
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\166\ Fueling infrastructure includes hydrogen, propane, and
natural gas.
\167\ U.S. Department of Transportation, Federal Highway
Administration, ``The National Electric Vehicle Infrastructure
(NEVI) Formula Program Guidance,'' February 10, 2022. Available
online: https://www.fhwa.dot.gov/environment/alternative_fuel_corridors/nominations/90d_nevi_formula_program_guidance.pdf (last accessed February 10,
2023).
\168\ U.S. Department of Transportation, Federal Highway
Administration. ``Bipartisan Infrastructure Law, Fact Sheets:
National Electric Vehicle Infrastructure Formula Program''. February
10, 2022. Available online: https://www.fhwa.dot.gov/bipartisan-infrastructure-law/nevi_formula_program.cfm.
\169\ U.S. Department of Transportation. ``Historic Step: All
Fifty States Plus DC and Puerto Rico Grenlit to Move EV Charging
Networks Forward, Covering 75,000 miles of Highway''. Available
online: https://www.transportation.gov/briefing-room/historic-step-all-fifty-states-plus-dc-and-puerto-rico-greenlit-move-ev-charging.
\170\ U.S. Department of Transportation, Federal Highway
Administration. ``National Electric Vehicle Infrastructure Formula
Program: Bipartisan Infrastructure Law--Program Guidance''. February
10, 2022. Available online: https://www.fhwa.dot.gov/environment/alternative_fuel_corridors/nominations/90d_nevi_formula_program_guidance.pdf.
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The BIL funds other programs that could support HD vehicle
electrification. For example, there is continued funding of the
Congestion Mitigation and Air Quality (CMAQ) Improvement Program, with
more than $2.5 billion authorized for FY 2022 through FY 2026. The BIL
(Section 11115) amended the CMAQ Improvement Program to add, among
other things, ``the purchase of medium- or heavy-duty zero emission
vehicles and related charging equipment'' to the list of activities
eligible for funding. The BIL establishes a program under Section 11402
``Reduction of Truck Emissions at Port Facilities'' that includes
grants to be administered through FHWA aimed at reducing port
emissions, including through electrification. In addition, the BIL
includes funding for DOT's Maritime Administration (MARAD) Port
Infrastructure Development Program; \171\ and DOT's Federal Highway
Administration (FHWA) Carbon Reduction Program.\172\
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\171\ U.S. Department of Transportation, Maritime
Administration. ``Bipartisan Infrastructure Law: Maritime
Administration''. Available online: https://www.maritime.dot.gov/about-us/bipartisan-infrastructure-law-maritime-administration.
\172\ U.S. Department of Transportation, Federal Highway
Administration. ``Bipartisan Infrastructure Law, Fact Sheets: Carbon
Reduction Program (CRP)''. April 20, 2022. Available online: https://www.fhwa.dot.gov/bipartisan-infrastructure-law/crp_fact_sheet.cfm.
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The BIL also targets batteries used for electric vehicles. It funds
DOE's Battery Materials Processing and Battery Manufacturing
program,\173\ which grants funds to promote U.S. processing and
manufacturing of batteries for automotive and electric grid use through
demonstration projects, the construction of new facilities, and the
retooling, retrofitting, and expansion of existing facilities. This
includes a total of $3 billion for battery material processing and $3
billion for battery manufacturing and recycling, with additional
funding for a lithium-ion battery recycling prize competition, research
and development activities in battery recycling, state and local
programs, and the development of a collection system for used
batteries. In addition, the BIL includes $200 million for the Electric
Drive Vehicle Battery Recycling and Second-Life Application Program for
research, development, and demonstration of battery recycling and
second-life applications.
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\173\ U.S. Department of Energy. ``Biden Administration
Announces $3.16 Billion From Bipartisan Infrastructure Law to Boost
Domestic Battery Manufacturing and Supply Chains. May 2, 2022.
Available online: https://www.energy.gov/articles/biden-administration-announces-316-billion-bipartisan-infrastructure-law-boost-domestic.
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Hydrogen provisions of the BIL include funding for several programs
to accelerate progress towards the Hydrogen Shot goal, launched on June
7, 2021, to reduce the cost of clean hydrogen \174\ production by 80
percent to $1 for 1 kg in 1 decade \175\ and jumpstart the hydrogen
market in the United States. This includes $8 billion for the
Department of Energy's Regional Clean Hydrogen Hubs Program to
establish networks of clean hydrogen producers, potential consumers,
and connective infrastructure in close proximity; $1 billion for a
Clean Hydrogen Electrolysis Program; and $500 million for Clean
Hydrogen Manufacturing and Recycling Initiatives.\176\ The BIL also
called for development of a Clean Hydrogen Production Standard to guide
DOE hub and Research, Development, Deployment, and Diffusion (RDD&D)
actions; and a National Clean Hydrogen Strategy and Roadmap to
facilitate widescale production, processing, delivery, storage, and use
of clean hydrogen. These BIL programs are currently under development,
and further details are expected over the course of calendar year (CY)
2023.
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\174\ The BIL defines ``clean hydrogen'' as hydrogen produced in
compliance with the GHG emissions standard established under 42 U.S.
Code section 16166(a), including production from any fuel source,
where the standard developed shall define the term to mean hydrogen
produced with a carbon intensity equal to or less than 2 kilograms
of carbon dioxide-equivalent produced at the site of production per
kilogram of hydrogen produced.
\175\ Satyapal, Sunita. ``2022 AMR Plenary Session''. U.S.
Department of Energy, Hydrogen and Fuel Cell Technologies Office.
June 6, 2022. Available online: https://www.energy.gov/sites/default/files/2022-06/hfto-amr-plenary-satyapal-2022-1.pdf.
\176\ U.S. Department of Energy. ``DOE Establishes Bipartisan
Infrastructure Law's $9.5 Billion Clean Hydrogen Initiatives''.
February 15, 2022. Available online: https://www.energy.gov/articles/doe-establishes-bipartisan-infrastructure-laws-95-billion-clean-hydrogen-initiatives.
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ii. IRA Sections 13502 and 13403
The IRA,\177\ which was enacted on August 16, 2022, contains
several provisions relevant to vehicle electrification and the
associated infrastructure via tax credits, grants, rebates, and loans
through CY 2032, including two key provisions that provide a tax credit
to reduce the cost of producing qualified batteries (battery tax
credit) and to reduce the cost of purchasing qualified ZEVs (vehicle
tax credit). The battery tax credit in ``Advanced Manufacturing
Production Credit'' in IRA section 13502 and the ``Qualified Commercial
Clean Vehicles'' vehicle tax credit in IRA section 13403 are included
quantitatively in our analysis.
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\177\ Inflation Reduction Act of 2022, Public Law 117-169, 136
Stat. 1818 (2022) (``Inflation Reduction Act'' or ``IRA''),
available at https://www.congress.gov/117/bills/hr5376/BILLS-117hr5376enr.pdf.
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IRA section 13502, ``Advanced Manufacturing Production Credit,''
provides tax credits for the production and sale of battery cells and
modules of up to $45 per kilowatt-hour (kWh), and for 10 percent of the
cost of producing applicable critical minerals (including those found
in batteries and fuel cells, provided that the minerals meet certain
specifications), when such components or minerals are produced in the
United States. These credits begin in CY 2023 and phase down starting
in CY 2030, ending after CY 2032. With projected direct manufacturing
costs for heavy-
[[Page 25945]]
duty vehicle batteries on the order of $65 to $275/kWh in the 2025-2030
timeframe,\178\ this tax credit has the potential to noticeably reduce
the cost of qualifying batteries and, by extension, the cost of BEVs
and FCEVs with qualifying batteries. We did not include a detailed cost
breakdown of fuel cells quantitatively in our analysis, but the
potential impact on fuel cells may also be significant because platinum
(an applicable critical mineral commonly used in fuel cells) is a major
contributor to the cost of fuel cells.\179\
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\178\ Sharpe, B., Basma, H. ``A meta-study of purchase costs for
zero-emission trucks''. International Council on Clean
Transportation. February 17, 2022. Available online: https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
\179\ Leader, Alexandra & Gaustad, Gabrielle & Babbitt, Callie.
(2019). The effect of critical material prices on the
competitiveness of clean energy technologies. Materials for
Renewable and Sustainable Energy. 8. 10.1007/s40243-019-0146-z.
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We limited our assessment of this tax credit in our DRIA Chapter 2
analysis to the tax credits for battery cells and modules. Pursuant to
the IRA, qualifying battery cells must have an energy density of not
less than 100 watt-hours per liter, and we expect that batteries for
heavy-duty BEVs and FCEVs will exceed this requirement as described in
DRIA Chapter 2.4.2.2. Qualifying battery cells must be capable of
storing at least 12 watt-hours of energy and qualifying battery modules
must have an aggregate capacity of not less than 7 kWh (or, for FCEVs,
not less than 1 kWh); typical battery cells and modules for motor
vehicles also exceed these requirements.\180\ Additionally, the ratio
of the capacity of qualifying cells and modules to their maximum
discharge amount shall not exceed 100:1. We expect that battery cells
and modules in heavy-duty BEVs and FCEVs will also meet this
requirement because the high costs and weight of the batteries and the
competitiveness of the heavy-duty industry will pressure manufacturers
to allow as much of their batteries to be useable as possible. We did
not consider the tax credits for critical minerals quantitatively in
our analysis. However, we note that any applicability of the critical
mineral tax credit may further reduce the costs of batteries.
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\180\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22/6, October 2022. See Medium- and heavy-duty
vehicles (techno-economic analysis with BEAN). Available online:
https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
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We included this battery tax credit by reducing the direct
manufacturing costs of batteries in BEVs and FCEVs, but not the
associated indirect costs. At present, there are few manufacturing
plants for HD vehicle batteries in the United States, which means that
few batteries would qualify for the tax credit now. We expect that the
industry will respond to this tax credit incentive by building more
domestic battery manufacturing capacity in the coming years, but this
will take several years to come to fruition. Thus, we have chosen to
model this tax credit by assuming that HD BEV and FCEV manufacturers
fully utilize the module tax credit (which provides $10 per kWh) and
gradually increase their utilization of the cell tax credit (which
provides $35 per kWh) for MY 2027-2029 until MY 2030 and beyond, when
they earn 100 percent of the available cell and module tax credits.
Further discussion of this battery tax credit and our battery costs can
be found in DRIA Chapter 2.4.3.1.
IRA section 13403, ``Qualified Commercial Clean Vehicles,'' creates
a tax credit of up to $40,000 per Class 4 through 8 HD vehicle (up to
$7,500 per Class 2b or 3 vehicle) for the purchase or lease of a
qualified commercial clean vehicle. This tax credit is available from
CY 2023 through CY 2032 and is based on the lesser of the incremental
cost of the clean vehicle over a comparable ICE vehicle or the
specified percentage of the basis of the clean vehicle, up to the
maximum applicable limitation. By effectively reducing the price a
vehicle owner must pay for a HD ZEV and the incremental difference in
cost between it and a comparable ICE vehicle--by $40,000 in many
cases--more vehicle purchasers will be poised to take advantage of the
cost savings anticipated from total cost of ownership, including
operational cost savings from fuel and maintenance and repair compared
with ICE vehicles. Among other specifications, these vehicles must be
on-road vehicles (or mobile machinery) that are propelled to a
significant extent by a battery-powered electric motor or are qualified
fuel cell motor vehicles (also known as fuel cell electric vehicles,
FCEVs). For the former, the battery must have a capacity of at least 15
kWh (or 7 kWh if it has a gross vehicle weight rating of less than
14,000 pounds (Class 3 or below)) and must be rechargeable from an
external source of electricity. This limits the qualified vehicles to
BEVs and plug-in hybrid electric vehicles (PHEVs), in addition to
FCEVs. Since this tax credit overlaps with the model years for which we
are proposing standards (MYs 2027 through 2032), we included it in our
calculations for each of those years in our feasibility analysis for
our proposed standards (see DRIA Chapter 2).
For BEVs and FCEVs, the per-vehicle tax credit is equal to the
lesser of the following, up to the cap limitation: (A) 30 percent of
the BEV or FCEV cost, or (B) the incremental cost of the BEV or FCEV
when compared to a comparable (in size and use) ICE vehicle. The
limitation on this tax credit is $40,000 for vehicles with a gross
vehicle weight rating of equal to or greater than 14,000 pounds (Class
4-8 commercial vehicles) and $7,500 for vehicles with a gross vehicle
weight rating of less than 14,000 pounds (commercial vehicles Class 3
and below). For example, if a BEV with a gross vehicle weight rating of
equal to or greater than 14,000 pounds costs $350,000 and a comparable
ICE vehicle costs $150,000,\181\ the tax credit would be the lesser of
the following, subject to the limitation: (A) 30 percent x $350,000 =
$105,000 or (B) $350,000-$150,000 = $200,000. (A) is less than (B), but
(A) exceeds the limit of $40,000, so the tax credit would be $40,000.
For PHEVs, the per-vehicle tax credit follows the same calculation and
cap limitation as for BEVs and FCEVs except that (A) is 15 percent of
the PHEV cost.
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\181\ Sharpe, B., Basma, H. ``A meta-study of purchase costs for
zero-emission trucks''. International Council on Clean
Transportation. February 17, 2022. Available online: https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
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In order to estimate the impact of this tax credit in our
feasibility analysis for BEVs and FCEVs, we first applied a retail
price equivalent to our direct manufacturing costs for BEVs, FCEVs, and
ICE vehicles. Note that the direct manufacturing costs of BEVs and
FCEVs were reduced by the amount of the battery tax credit in IRA
section 13502, as described in DRIA Chapter 2.4.3.1. We calculated the
purchaser's incremental cost of BEVs and FCEVs compared to ICE vehicles
and not the full cost of vehicles in our analysis. We based our
calculation of the tax credit on this incremental cost. When the
incremental cost exceeded the tax credit limitation (determined by
gross vehicle weight rating as described in the previous paragraph), we
decreased the incremental cost by the tax credit limitation. When the
incremental cost was between $0 and the tax credit limitation, we
reduced the incremental cost to $0 (i.e., the tax credit received by
the purchaser was equal to the incremental cost). When the incremental
cost was negative (i.e., the BEV or FCEV was cheaper to purchase than
the ICE vehicle), no tax credit was given. In order for this
calculation to be appropriate, we determined that all
[[Page 25946]]
Class 4-8 BEVs and FCEVs must cost more than $133,333 such that 30
percent of the cost is at least $40,000 (or $25,000 and $7,500,
respectively, for BEVs and FCEVs Class 3 and below), which is
reasonable based on our review of the literature on the costs of BEVs
and FCEVs.\182\ The tax credit amounts for each vehicle type included
in our analysis in MYs 2027 and 2032 are shown in DRIA Chapter 2.8.2.
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\182\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M. A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. April
1, 2021. Available at https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
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We project that the impact of the IRA vehicle tax credit will be
significant, as shown in DRIA Chapter 2.8.2. In many cases, the
incremental cost (with the tax credit) of a BEV compared to an ICE
vehicle is eliminated, leaving only the cost of the electric vehicle
supply equipment (EVSE) as an added upfront cost to the BEV owner.
Similarly, in some cases, the tax credit eliminates the upfront cost of
a FCEV compared to an ICE vehicle.
iii. Other IRA Provisions
There are many other provisions of the IRA that we expect will
support electrification of the heavy-duty fleet. Importantly, these
other provisions do not serve to reduce ZEV adoption rates from our
current projections. Due to the complexity of analyzing the combined
potential impact of these provisions, we did not quantify their
potential impact in our assessment of costs and feasibility, but we
note that they may help to reduce many obstacles to electrification of
HDVs and may further support or even increase ZEV adoption rates beyond
the levels we currently project. Our assessment of the impacts of these
provisions of the IRA on ZEV adoption rates are, therefore, somewhat
conservative.
Section 13404, ``Alternative Fuel Refueling Property Credit,''
modifies an existing tax credit that applies to alternative fuel
refueling property (e.g., electric vehicle chargers and hydrogen
fueling stations) and extends the tax credit through CY 2032. The
credit also applies to refueling property that stores or dispenses
specified clean-burning fuels, including at least 85 percent hydrogen,
into the fuel tank of a motor vehicle. Starting in CY 2023, this
provision provides a tax credit of up to 30 percent of the cost of the
qualified alternative fuel refueling property (e.g., HD BEV charger),
and up to $100,000 when located in low-income or non-urban area census
tracts and certain other requirements are met. We expect that many HD
BEV owners will need chargers installed in their depots for overnight
charging, and this tax credit will effectively reduce the costs of
installing charging infrastructure and, in turn, further effectively
reduce the total costs associated with owning a BEV for many HD vehicle
owners. Additionally, this tax credit may offset some of the costs of
installing very high-powered public and private chargers that are
necessary to recharge HD BEVs with minimal downtime during the day.
Similarly, we expect that this tax credit will reduce the costs
associated with refueling heavy-duty FCEVs, whose owners may rely on
public hydrogen refueling stations or those installed in their depots.
We expect that this tax credit will help incentivize the build out of
the charging and hydrogen refueling infrastructure necessary for high
BEV and FCEV adoption, which may further support increased BEV and FCEV
uptake.
Section 60101, ``Clean Heavy-duty Vehicles,'' amends the CAA to add
new section 132 (42 U.S.C. 7432) and appropriates $1 billion to the
Administrator, including $600 million generally for carrying out CAA
section 132 (3 percent of which must be reserved for administrative
costs necessary to carry out the section's provisions) and $400 million
to make awards under CAA section 132 to eligible recipients/contractors
that propose to replace eligible vehicles to serve one or more
communities located in an air quality area designated pursuant to CAA
section 107 as nonattainment for any air pollutant, in FY 2022 and
available through FY 2031. CAA section 132 requires the Administrator
to implement a program to make awards of grants and rebates to eligible
recipients (defined as States, municipalities, Indian tribes, and
nonprofit school transportation associations), and to make awards of
contracts to eligible contractors for providing rebates, for up to 100
percent of costs for: (1) the incremental costs of replacing a Class 6
or Class 7 heavy-duty vehicle that is not a zero-emission vehicle with
a zero-emission vehicle (as determined by the Administrator based on
the market value of the vehicles); (2) purchasing, installing,
operating, and maintaining infrastructure needed to charge, fuel, or
maintain zero-emission vehicles; (3) workforce development and training
to support the maintenance, charging, fueling, and operation of zero-
emission vehicles; and (4) planning and technical activities to support
the adoption and deployment of zero-emission vehicles.
Section 60102, ``Grants to Reduce Air Pollution at Ports,'' amends
the CAA to add a new section 133 (42 U.S.C. 7433) and appropriates $3
billion (2 percent of which must be reserved for administrative costs
necessary to carry out the section's provisions), $750 million of which
is for projects located in areas of nonattainment for any air
pollutant, in FY 2022 and available through FY 2027, to reduce air
pollution at ports. Competitive rebates or grants are to be awarded for
the purchase or installation of zero-emission port equipment or
technology for use at, or to directly serve, one or more ports; to
conduct any relevant planning or permitting in connection with the
purchase or permitting of zero-emission port equipment or technology;
and to develop qualified climate action plans. The zero-emission
equipment or technology either (1) produces zero emissions of GHGs,
listed criteria pollutants, and hazardous air pollutants or (2) it
captures 100 percent of the emissions produced by an ocean-going vessel
at berth.
Section 60103, ``Greenhouse Gas Reduction Fund,'' amends the CAA to
add a new section 134 (42 U.S.C. 7434) and appropriates $27 billion,
$15 billion of which is for low-income and disadvantaged communities,
in FY 2022 and available through FY 2024, for a GHG reduction grant
program. The program supports direct investments in qualified projects
at the national, regional, State, and local levels, and indirect
investments to establish new or support existing public, quasi-public,
not-for-profit, or nonprofit entities that provide financial assistance
to qualified projects. The program focuses on the rapid deployment of
low- and zero-emission products, technologies, and services to reduce
or avoid GHG emissions and other forms of air pollution.
Section 60104, ``Diesel Emissions Reductions,'' appropriates $60
million (2 percent of which must be reserved for administrative costs
necessary to carry out the section's provisions), in FY 2022 and
available through FY 2031, for grants, rebates, and loans under section
792 of the Energy Policy Act of 2005 (42 U.S.C. 16132) to identify and
reduce diesel emissions resulting from goods movement facilities and
vehicles servicing goods movement facilities in low-income and
disadvantaged communities to address the health impacts of such
emissions on such communities.
[[Page 25947]]
Section 70002 appropriates $3 billion in FY 2022 and available
through FY 2031 for the U.S. Postal Service to purchase ZEVs ($1.29
billion) and to purchase, design, and install infrastructure to support
zero-emission delivery vehicles at facilities that the U.S. Postal
Service owns or leases from non-Federal entities ($1.71 billion).
Section 13501, ``Extension of the Advanced Energy Project Credit,''
allocates $10 billion in tax credits for facilities to domestically
manufacture advanced energy technologies, subject to certain
application and other requirements and limitations. Qualifying
properties now include light-, medium-, or heavy-duty electric or fuel
cell vehicles along with the technologies, components, or materials for
such vehicles and the associated charging or refueling infrastructure.
They also include hybrid vehicles with a gross vehicle weight rating of
not less than 14,000 pounds along with the technologies, components, or
materials for them.
Sections 50142, 50143, 50144, 50145, 50151, 50152, and 50153
collectively appropriate nearly $13 billion to support low- and zero-
emission vehicle manufacturing and energy infrastructure. These
provisions are intended to help accelerate the ability for industry to
meet the demands spurred by the previously mentioned IRA sections, both
for manufacturing vehicles, including BEVs and FCEVs, and for energy
infrastructure.
Section 13204, ``Clean Hydrogen,'' amends section 45V of the
Internal Revenue Code (i.e., Title 26) to offer a tax credit to produce
hydrogen for qualified clean production facilities that use a process
that results in a lifecycle GHG emissions rate of not greater than 4 kg
of CO2e per kg of hydrogen. This credit is eligible for
qualified clean hydrogen production facilities whose construction
begins before January 1, 2033, and is available during the 10-year
period beginning on the date such facility was originally placed in
service. The credit increases to a maximum of $3 per kilogram produced
as the lifecycle GHG emissions rate is reduced to less than 0.45 kg of
CO2e per kg of hydrogen. Facilities that received credit for
the construction of carbon capture and direct air capture equipment or
facilities (i.e., under 45Q) do not qualify, and prevailing wage and
apprenticeship requirements apply. Section 60113, ``Methane Emissions
Reduction Program,'' amends the CAA by adding Section 136 and
appropriates $850 million to EPA to support methane mitigation and
monitoring, plus authorizes a new fee of $900 per ton on ``waste''
methane emissions that escalates after two years to $1,500 per ton.
These combined incentives promote the production of hydrogen in a
manner that minimizes its potential greenhouse gas impact.
While there are challenges facing greater adoption of heavy-duty
ZEV technologies, the IRA provides many financial incentives to
overcome these challenges and thus would also support our proposed
rulemaking. We expect IRA sections 13502 and 13403 to support the
adoption of HD ZEV technologies in the market, as detailed in our
assessment of the appropriate GHG standards we are proposing.
Additionally, we expect IRA sections 13404, 60101-60104, 70002, 13501,
50142-50145, 50151-50153, and 13204 to further accelerate ZEV adoption,
but we are not including them quantitatively in our analyses.
As described in Section II of the proposed rule, EPA has considered
the potential impacts of the BIL and the IRA in our assessment of the
appropriate proposed GHG standards both quantitatively and
qualitatively, and we request comment on our approach.
3. States' Efforts To Increase Adoption of HD ZEVs
HD vehicle sales and on-road vehicle populations are significant in
the state of California. Approximately ten percent of U.S. HD ICE
vehicles in 2016 were registered in California.\183\ California adopted
the ACT program in 2020, which will also influence the market
trajectory for BEV and FCEV technologies.184 185 186 The ACT
program requires manufacturers who certify HD vehicles for sale in
California to sell a certain percentage of zero-emission HD vehicles
(BEVs or FCEVs) in California for each model year, beginning with MY
2024.\187\ As shown in Table I-1, the sales requirements vary by
vehicle class, starting at 5 to 9 percent of total MY 2024 HD vehicle
sales in California and increasing to 40 to 75 percent of a total MY's
HD vehicle sales in California in MYs 2035 and later.\188\
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\183\ FHWA. U.S. Highway Statistics. Available online at:
https://www.fhwa.dot.gov/policyinformation/statistics.cfm.
\184\ CAA section 209(a) generally preempts states from adopting
emission control standards for new motor vehicles. But Congress
created an important exception from preemption. Under CAA section
209(b), the State of California may seek a waiver of preemption, and
EPA must grant it unless the Agency makes one of three statutory
findings. California's waiver of preemption for its motor vehicle
emissions standards allows other States to adopt and enforce
identical standards pursuant to CAA section 177. Since the CAA was
enacted, EPA has granted California dozens of waivers of preemption,
permitting California to enforce its own motor vehicle emission
standards.
\185\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\186\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023.
\187\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf at Sec. 1963.1, tbl. A-1, ``ZEV Sales Percentage
Schedule''.
\188\ Ibid.
Table I-1--CARB's ACT ZEV Sales Requirements for Class 4-8 Heavy-Duty
Vehicles by Model Year \1\
------------------------------------------------------------------------
Class 7-8
Model year (MY) Class 4-8 (%) tractors (%)
------------------------------------------------------------------------
2024.................................... 9 5
2025.................................... 11 7
2026.................................... 13 10
2027 \2\................................ 20 15
2028 \2\................................ 30 20
2029 \2\................................ 40 25
2030 \2\................................ 50 30
2031 \2\................................ 55 35
2032 \2\................................ 60 40
2033.................................... 65 40
2034.................................... 70 40
2035+................................... 75 40
------------------------------------------------------------------------
Notes:
\1\ The CARB ACT program also includes ZEV sales requirements for Class
2b and 3 vehicles with GVWR between 8,500 and 14,000 pounds. These
vehicles are primarily commercial pickup trucks and vans and are
sometimes referred to as ``medium-duty vehicles.'' The majority of
Class 2b and 3 vehicles are chassis-certified vehicles and EPA is
addressing these vehicles in a separate regulatory action, along with
light-duty vehicles, consistent with E.O. 14037, Section 2a.
\2\ We are proposing GHG emission standards for these MYs in this
action.
Outside of California, a number of states have signaled interest in
greater adoption of HD ZEV technologies and/or establishing specific
goals to increase the HD electric vehicle market. As one example, the
Memorandum of Understanding (MOU), ``Multi-State Medium- and Heavy-Duty
Zero Emission Vehicle,'' (Multi-State MOU) organized by Northeast
States for Coordinated Air Use Management (NESCAUM), sets targets ``to
make all sales of new medium- and heavy-duty vehicles [in the
jurisdictions of the signatory states and the District of Columbia]
zero emission vehicles by no later than 2050'' with an interim goal of
30 percent of all sales of new medium- and heavy-duty vehicles being
zero emission vehicles no later than 2030.\189\
[[Page 25948]]
The Multi-State MOU was signed by the governors of 17 states including
California, Colorado, Connecticut, Hawaii, Maine, Maryland,
Massachusetts, New Jersey, New York, North Carolina, Nevada, Oregon,
Pennsylvania, Rhode Island, Vermont, Virginia, and Washington, as well
as the mayor of the District of Columbia. The Multi-State MOU outlines
these jurisdictions' more specific commitments to move toward ZEVs
through the Multi-State ZEV Task Force and provides an action plan for
zero-emission medium- and heavy-duty vehicles with measurable sales
targets and a focus on overburdened and underserved communities.
Several states that signed the Multi-State MOU have since adopted
California's ACT program, pursuant to CAA section 177, and we
anticipate more jurisdictions will follow with similar proposals.\190\
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\189\ Northeast States for Coordinated Air Use Management
(NESCAUM), Multi-state Medium- and Heavy-duty Zero Emission Vehicle
Memorandum of Understanding, available at https://www.nescaum.org/documents/mhdv-zev-mou-20220329.pdf/ (hereinafter ``Multi-State
MOU'').
\190\ See, e.g., Final Advanced Clean Truck Amendments, 1461
Mass. Reg. 29 (Jan. 21, 2022) (Massachusetts). Medium- and Heavy-
Duty (MHD) Zero Emission Truck Annual Sales Requirements and Large
Entity Reporting, 44 N.Y. Reg. 8 (Jan. 19, 2022) (New York),
available at https://dos.ny.gov/system/files/documents/2022/01/011922.pdf. Advanced Clean Trucks Program and Fleet Reporting
Requirements, 53 N.J.R. 2148(a) (Dec. 20, 2021) (New Jersey),
available at https://www.nj.gov/dep/rules/adoptions/adopt_20211220a.pdf (pre-publication version). Clean Trucks Rule
2021, DEQ-17-2021 (Nov. 17, 2021), available at https://records.sos.state.or.us/ORSOSWebDrawer/Recordhtml/8581405 (Oregon).
Low emission vehicles, Wash. Admin. Code. Sec. 173-423-070 (2021),
available at https://app.leg.wa.gov/wac/default.aspx?cite=173-423-070; 2021 Wash. Reg. 587356 (Dec. 15, 2021); Wash. Reg. 21-24-059
(Nov. 29, 2021) (amending Wash. Admin. Code. Sec. Sec. 173-423 and
173-400), available at https://lawfilesext.leg.wa.gov/law/wsrpdf/2021/24/21-24-059.pdf. (Washington).
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D. EPA Statutory Authority for the Proposal
This section briefly summarizes the statutory authority for the
proposed rule. Statutory authority for the GHG standards EPA is
proposing is found in CAA section 202(a)(1) (2), 42 U.S.C. 7521(a)(1)-
(2), which requires EPA to establish standards applicable to emissions
of air pollutants from new motor vehicles and engines which cause or
contribute to air pollution which may reasonably be anticipated to
endanger public health or welfare. Additional statutory authority for
the proposed action is found in CAA sections 202-209, 216, and 301, 42
U.S.C. 7521-7543, 7550, and 7601. We discuss some key aspects of these
sections in relation to this proposed action immediately below.
Title II of the Clean Air Act provides for comprehensive regulation
of mobile sources, authorizing EPA to regulate emissions of air
pollutants from all mobile source categories, including motor vehicles
under CAA section 202(a). In turn, CAA section 216(2) defines ``motor
vehicle'' as ``any self-propelled vehicle designed for transporting
persons or property on a street or highway.'' Congress has
intentionally and consistently used the broad term ``any self-propelled
vehicle'' since the Motor Vehicle Air Pollution Control Act of 1965 so
as not to limit standards adopted under CAA section 202 to vehicles
running on a particular fuel, power source, or system of propulsion.
Congress's focus was on emissions from classes of motor vehicles and
the ``requisite technologies'' that could feasibly reduce those
emissions giving appropriate consideration to cost of compliance and
lead time, as opposed to being limited to any particular type of
vehicle.
Section 202(a)(1) of the CAA states that ``the Administrator shall
by regulation prescribe (and from time to time revise) . . . standards
applicable to the emission of any air pollutant from any class or
classes of new motor vehicles . . . which in his judgment cause, or
contribute to, air pollution which may reasonably be anticipated to
endanger public health or welfare.'' CAA section 202(a)(1) also
requires that any standards promulgated thereunder ``shall be
applicable to such vehicles and engines for their useful life (as
determined under [CAA section 202(d)], relating to useful life of
vehicles for purposes of certification), whether such vehicle and
engines are designed as complete systems or incorporate devices to
prevent or control such pollution.'' CAA section 202(d) directs EPA to
prescribe regulations under which the ``useful life'' of vehicles and
engines shall be determined for the purpose of setting standards under
CAA section 202(a)(1). For HD highway vehicles and engines, CAA section
202(d) establishes ``useful life'' minimum values of 10 years or
100,000 miles, whichever occurs first, unless EPA determines that
greater values are appropriate.\191\
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\191\ In 1983, EPA adopted useful life periods to apply for HD
engines criteria pollutant standards (48 FR 52170, November 16,
1983). The useful life mileage for heavy HD engines criteria
pollutant standards was subsequently increased for 2004 and later
model years (62 FR 54694, October 21, 1997). In the GHG Phase 2 rule
(81 FR 73496, October 25, 2016), EPA set the same useful life
periods to apply for HD engines and vehicles greenhouse gas emission
standards, except that the spark-ignition HD engine standards and
the standards for model year 2021 and later light HD engines apply
over a useful life of 15 years or 150,000 miles, whichever comes
first. In the HD2027 rule (88 FR 4359, January 24, 2023), EPA
lengthened useful life periods for all 2027 and later model year HD
engines criteria pollutant standards. See also 40 CFR 1036.104(e),
1036.108(d), 1037.105(e), and 1037.106(e).
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While emission standards set by the EPA under CAA section 202(a)(1)
generally do not mandate use of particular technologies, they are
technology-based, as the levels chosen must be premised on a finding of
technological feasibility. Thus, standards promulgated under CAA
section 202(a) are to take effect only ``after such period as the
Administrator finds necessary to permit the development and application
of the requisite technology, giving appropriate consideration to the
cost of compliance within such period.'' CAA section 202(a)(2); see
also NRDC v. EPA, 655 F. 2d 318, 322 (D.C. Cir. 1981). EPA must
consider costs to those entities which are directly subject to the
standards. Motor & Equipment Mfrs. Ass'n Inc. v. EPA, 627 F. 2d 1095,
1118 (D.C. Cir. 1979). Thus, ``the [s]ection 202(a)(2) reference to
compliance costs encompasses only the cost to the motor-vehicle
industry to come into compliance with the new emission standards, and
does not mandate consideration of costs to other entities not directly
subject to the proposed standards.'' Coalition for Responsible
Regulation v. EPA, 684 F.3d 120, 128 (D.C. Cir. 2012). EPA is afforded
considerable discretion under section 202(a) when assessing issues of
technical feasibility and availability of lead time to implement new
technology. Such determinations are ``subject to the restraints of
reasonableness,'' which ``does not open the door to `crystal ball'
inquiry.'' NRDC, 655 F. 2d at 328, quoting International Harvester Co.
v. Ruckelshaus, 478 F. 2d 615, 629 (D.C. Cir. 1973); see also Growth
Energy v. EPA, 5 F.4th 1, 15 (D.C. Cir. 2021) (``The court is
`particularly deferential' to agencies' predictive judgments, requiring
only that `the agency acknowledge factual uncertainties and identify
the considerations it found persuasive.' EPA cleared that modest
bar.'') (internal citations omitted). Moreover, ``EPA is not obliged to
provide detailed solutions to every engineering problem posed in the
perfection of [a particular device]. In the absence of theoretical
objections to the technology, the agency need only identify the major
steps necessary for development of the device, and give plausible
reasons for its belief that the industry will be able to solve those
problems in the time remaining. The EPA is not required to rebut all
[[Page 25949]]
speculation that unspecified factors may hinder `real world' emission
control.'' NRDC, 655 F. 2d at 333-34. In developing such technology-
based standards, EPA has the discretion to consider different standards
for appropriate groupings of vehicles (``class or classes of new motor
vehicles''), or a single standard for a larger grouping of motor
vehicles. NRDC, 655 F.2d at 338.\192\
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\192\ Additionally, with respect to regulation of vehicular GHG
emissions, EPA is not ``required to treat NHTSA's . . . regulations
as establishing the baseline for the [section 202(a) standards].''
Coalition for Responsible Regulation, 684 F.3d at 127 (noting that
the section 202(a) standards provide ``benefits above and beyond
those resulting from NHTSA's fuel-economy standards'').
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Although standards under CAA section 202(a)(1) are technology-
based, they are not based exclusively on technological capability.
Pursuant to the broad grant of authority in section 202, when setting
GHG emission standards for HD vehicles, EPA must consider certain
factors and may also consider other factors and has done so previously
when setting such standards. For instance, in HD GHG Phase 1 and Phase
2, EPA explained that when acting under this authority EPA has
considered such issues as technology effectiveness, its cost (including
per vehicle, per manufacturer, and per purchaser), the lead time
necessary to implement the technology, and based on this the
feasibility and practicability of potential standards; the impacts of
potential standards on emissions reductions; the impacts of standards
on oil conservation and energy security; the impacts of standards on
fuel savings by vehicle operators; the impacts of standards on the
heavy-duty vehicle industry; as well as other relevant factors such as
impacts on safety.193 194
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\193\ 76 FR 57129, September 15, 2011.
\194\ 81 FR 73478, 73512, October 25, 2016.
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In addition, EPA has clear authority to set standards under CAA
section 202(a)(1)-(2) that are technology forcing when EPA considers
that to be appropriate, but is not required to do so (as compared to
standards under provisions such as section 202(a)(3), which require the
greatest degree of emissions reduction achievable, giving appropriate
consideration to cost, energy and safety factors). CAA section 202(a)
does not specify the degree of weight to apply to each factor, and EPA
accordingly has discretion in choosing an appropriate balance among
factors. See Sierra Club v. EPA, 325 F.3d 374, 378 (D.C. Cir. 2003)
(even where a provision is technology-forcing, the provision ``does not
resolve how the Administrator should weigh all [the statutory] factors
in the process of finding the 'greatest emission reduction
achievable'''); National Petrochemical and Refiners Ass'n v. EPA, 287
F.3d 1130, 1135 (D.C. Cir. 2002) (EPA decisions, under CAA provision
authorizing technology-forcing standards, based on complex scientific
or technical analysis are accorded particularly great deference); see
also Husqvarna AB v. EPA, 254 F. 3d 195, 200 (D.C. Cir. 2001) (great
discretion to balance statutory factors in considering level of
technology-based standard, and statutory requirement ``to [give
appropriate] consideration to the cost of applying . . . technology''
does not mandate a specific method of cost analysis); Hercules Inc. v.
EPA, 598 F. 2d 91, 106 (D.C. Cir. 1978) (``In reviewing a numerical
standard we must ask whether the agency's numbers are within a zone of
reasonableness, not whether its numbers are precisely right.'').\195\
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\195\ See also; Permian Basin Area Rate Cases, 390 U.S. 747, 797
(1968) (same); Federal Power Commission v. Conway Corp., 426 U.S.
271, 278 (1976) (same); Exxon Mobil Gas Marketing Co. v. Federal
Energy Regulatory Comm'n, 297 F. 3d 1071, 1084 (D.C. Cir. 2002)
(same).
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As noted previously in this section, there are also other
provisions of the CAA that provide authority for EPA's proposed action,
including CAA sections 203, 206, and 207. Under section 203 of the CAA,
sales of vehicles are prohibited unless the vehicle is covered by a
certificate of conformity, and EPA issues certificates of conformity
pursuant to section 206 of the CAA. Certificates of conformity are
based on (necessarily) pre-sale testing conducted either by EPA or by
the manufacturer. Compliance with standards is required not only at
certification but throughout a vehicle's useful life, so that testing
requirements may continue post-certification. To assure each engine and
vehicle complies during its useful life, EPA may apply an adjustment
factor to account for vehicle emission control deterioration or
variability in use (section 206(a)). EPA establishes the test
procedures under which compliance with the CAA emissions standards is
measured. EPA's testing authority under the CAA is broad and flexible.
Under CAA section 207, manufacturers are required to provide
emission-related warranties. The emission-related warranty period for
HD engines and vehicles under CAA section 207(i) is ``the period
established by the Administrator by regulation (promulgated prior to
November 15, 1990) for such purposes unless the Administrator
subsequently modifies such regulation.'' For HD vehicles, part 1037
currently specifies that the emission-related warranty for Light HD
vehicles is 5 years or 50,000 miles and for Medium HD and Heavy HD
vehicles is 5 years or 100,000 miles, and specifies the components
covered for such vehicles.\196\ Section 207 of the CAA also grants EPA
broad authority to require manufacturers to remedy nonconformity if EPA
determines there are a substantial number of noncomplying vehicles.
Additional aspects of EPA's legal authority are more fully discussed in
the HD GHG Phase 1 final rule.\197\ Further discussion of EPA's
authority under CAA section 202(a)(1)-(2) may also be found in the HD
GHG Phase 1 final rule.
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\196\ See 40 CFR 1037.120.
\197\ 76 FR 57129-57130, September 15, 2011.
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With regard to the specific technologies that could be used to meet
the emission standards promulgated under the statutory authorities
discussed in this Section I.D, EPA's rules have historically not
required the use of any particular technology, but rather have allowed
manufacturers to use any technology that demonstrates the engine or
vehicle meets the standards over the applicable test procedures.
Similarly, in determining the standards, EPA appropriately considers
updated data and analysis on pollution control technologies, without a
priori limiting its consideration to a particular set of technologies.
Given the continuous development of pollution control technologies
since the early days of the CAA, this approach means that EPA routinely
considers novel and projected technologies developed or refined since
the time of the CAA's enactment, including for instance, electric
vehicle technologies. In requiring EPA to consider lead time that takes
into consideration development and application of technology when
setting standards before such standards may take effect, Congress
directed EPA to consider future technological advancements and
innovation rather than limiting the Agency to setting standards that
reflect only technologies in place at the time the standards are
developed. This forward-looking regulatory approach keeps pace with
real-world technological developments that have the potential to reduce
emissions and comports with Congressional intent.
Section 202 does not specify or expect any particular type of motor
vehicle propulsion system to remain prevalent, and it was clear as
early as the 1960s that ICE vehicles might be inadequate to achieve the
country's air quality goals.
[[Page 25950]]
In 1967, the Senate Committees on Commerce and Public Works held five
days of hearings on ``electric vehicles and other alternatives to the
internal combustion engine,'' which Chairman Magnuson opened by saying
``The electric will help alleviate air pollution. . . . The electric
car does not mean a new way of life, but rather it is a new technology
to help solve the new problems of our age.'' \198\ In a 1970 message to
Congress seeking a stronger CAA, President Nixon stated he was
initiating a program to develop ``an unconventionally powered,
virtually pollution free automobile'' because of the possibility that
``the sheer number of cars in densely populated areas will begin
outrunning the technological limits of our capacity to reduce pollution
from the internal combustion engine.'' \199\
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\198\ Electric Vehicles and Other Alternatives to the Internal
Combustion Engine: Joint Hearings before the Comm. On Commerce and
the Subcomm. On Air and Water Pollution of the Comm. On Pub. Works,
90th Cong. (1967).
\199\ Richard Nixon, Special Message to the Congress on
Environmental Quality (Feb. 10, 1970), https://www.presidency.ucsb.edu/documents/special-message-the-congress-environmental-quality.
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Since the earliest days of the CAA, Congress has emphasized that
the goal of section 202 is to address air quality hazards from motor
vehicles, not to simply reduce emissions from internal combustion
engines to the extent feasible. In the Senate Report accompanying the
1970 CAA Amendments, Congress made clear the EPA ``is expected to press
for the development and application of improved technology rather than
be limited by that which exists'' and identified several
``unconventional'' technologies that could successfully meet air
quality-based emissions targets for motor vehicles.\200\ In the 1970
amendments Congress further demonstrated its recognition that
developing new technology to ensure that pollution control keeps pace
with economic development is not merely a matter of refining the ICE,
but requires considering new types of motor vehicle propulsion.
Congress provided EPA with authority to fund the development of ``low
emission alternatives to the present internal combustion engine'' as
well as a program to encourage Federal purchases of ``low-emission
vehicles.'' See CAA section 104(a)(2) (previously codified as CAA
section 212). Congress also adopted section 202(e) expressly to grant
the Administrator discretion regarding the certification of vehicles
and engines based on ``new power sources or propulsion system[s],''
that is to say, power sources and propulsion systems beyond the
existing internal combustion engine and fuels available at the time of
the statute's enactment, if those vehicles emitted pollutants which the
Administrator judged contributed to dangerous air pollution but had not
yet established standards for under section 202(a). As the D.C. Circuit
stated in 1975, ``We may also note that it is the belief of many
experts--both in and out of the automobile industry--that air pollution
cannot be effectively checked until the industry finds a substitute for
the conventional automotive power plant-the reciprocating internal
combustion (i.e., ``piston'') engine. . . . It is clear from the
legislative history that Congress expected the Clean Air Amendments to
force the industry to broaden the scope of its research--to study new
types of engines and new control systems.'' International Harvester Co.
v. Ruckelshaus, 478 F.2d 615, 634-35 (D.C. Cir. 1975).
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\200\ S. Rep. No. 91-1196, at 24-27 (1970).
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Since that time, Congress has continued to emphasize the importance
of technology development to achieving the goals of the CAA. In the
1990 amendments, Congress instituted a clean fuel vehicles program to
promote further progress in emissions reductions, which also applied to
motor vehicles as defined under section 216, see CAA section 241(1),
and explicitly defined motor vehicles qualifying under the program as
including vehicles running on an alternative fuel or ``power source
(including electricity),'' CAA section 241(2). Congress also directed
EPA to phase-in certain section 202(a) standards, see CAA section
202(g)-(j),\201\ which confirms EPA's authority to promulgate
standards, such as fleet averages, phase-ins, and averaging, banking,
and trading programs, that are fulfilled through compliance over an
entire fleet, or a portion thereof, rather than through compliance by
individual vehicles. As previously noted in the Executive Summary of
this preamble, EPA has long included averaging provisions for complying
with emission standards in the HD program and in upholding the first HD
final rule that included such a provision the D.C. Circuit rejected
petitioner's challenge in the absence of any clear evidence that
Congress meant to prohibit averaging. NRDC v. Thomas, 805 F.2d 410, 425
(D.C. Cir. 1986). In the subsequent 1990 amendments, Congress, noting
NRDC v. Thomas, opted to let the existing law ``remain in effect,''
reflecting that ``[t]he intention was to retain the status quo,'' i.e.,
EPA's existing authority to allow averaging.\202\ Averaging, banking,
and trading is discussed further in Sections II and III of this
preamble; additional history of ABT is discussed in EPA's Answering
Brief in Texas v. EPA (D.C. Cir., 22-1031, at Sec. IV.A-B).
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\201\ See, e.g., CAA section 202(h), which requires that the
regulations EPA promulgates under CAA section 202(a) for light-duty
trucks over 6,000 pounds. GVWR must contain standards that provide
that the specified numeric emission standards will be met by
specified percentages of each manufacturer's sales volume of such
trucks, depending on the MY (e.g., 50% for MY 1996).
\202\ 136 Cong. Rec. 36,713, 1990 WL 1222468 at *1136 Cong. Rec.
35,367, 1990 WL 1222469 at *1.
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The recently-enacted IRA \203\ ``reinforces the longstanding
authority and responsibility of [EPA] to regulate GHGs as air
pollutants under the Clean Air Act,'' \204\ and ``the IRA clearly and
deliberately instructs EPA to use'' this authority by ``combin[ing]
economic incentives to reduce climate pollution with regulatory drivers
to spur greater reductions under EPA's CAA authorities.'' \205\ To
assist with this, as described in Section I.C.2, the IRA provided a
number of economic incentives for HD ZEVs and the infrastructure
necessary to support them, and specifically affirms Congress's
previously articulated statements that non-ICE technologies will be a
key component of achieving emissions reductions from the mobile source
sector, including the HD industry sector.\206\ The Congressional Record
reflects that ``Congress recognizes EPA's longstanding authority under
CAA Section 202 to adopt standards that rely on zero emission
technologies, and Congress expects that future EPA regulations will
increasingly rely on and incentivize zero-emission vehicles as
appropriate.'' \207\
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\203\ Inflation Reduction Act, Public Law 117-169, 136 Stat.
1818, (2022), available at https://www.congress.gov/117/bills/hr5376/BILLS-117hr5376enr.pdf.
\204\ 168 Cong. Rec. E868-02 (daily ed. Aug. 12, 2022)
(statement of Rep. Pallone).
\205\ 168 Cong. Rec. E879-02, at 880 (daily ed. Aug. 26, 2022)
(statement of Rep. Pallone).
\206\ See Inflation Reduction Act, Public Law 117-169, at
Sec. Sec. 13204, 13403, 13404, 13501, 13502, 50142-50145, 50151-
50153, 60101-60104, 70002 136 Stat. 1818, (2022), available at
https://www.congress.gov/117/bills/hr5376/BILLS-117hr5376enr.pdf.
\207\ 168 Cong. Rec. E879-02, at 880 (daily ed. Aug. 26, 2022)
(statement of Rep. Pallone).
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Consistent with Congress's intent, EPA's CAA Title II emission
standards have been based on and stimulated the development of a broad
set of advanced technologies, such as electronic fuel injection
systems, gasoline catalytic convertors, diesel particulate filters,
diesel NOX reduction catalysts, gasoline direct injection
fuel systems, active aerodynamic grill shutters, and advanced
transmission technologies, which have been the building blocks of
[[Page 25951]]
heavy-duty vehicle designs and have yielded not only lower pollutant
emissions, but improved vehicle performance, reliability, and
durability. As previously discussed, beginning in 2011, EPA has set HD
vehicle and engine standards under section 202(a)(1)-(2) for GHGs.\208\
Manufacturers have responded to standards over the past decade by
continuing to develop and deploy a wide range of technologies,
including more efficient engine designs, transmissions, aerodynamics,
and tires, air conditioning systems that contribute to lower GHG
emissions, as well as vehicles based on methods of propulsion beyond
diesel- and gasoline-fueled ICE vehicles, including ICE running on
alternative fuels (such as natural gas, biodiesel, renewable diesel,
methanol, and other fuels), as well as various levels of electrified
vehicle technologies from mild hybrids, to strong hybrids, and up
through battery electric vehicles and fuel cell electric vehicles. In
addition, the continued application of performance-based standards take
into consideration averaging provisions that provide an opportunity for
all technology improvements and innovation to be reflected in a vehicle
manufacturers' compliance results.
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\208\ 76 FR 57106, September 15, 2011.
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With regard to EPA's proposed revised preemption regulations
regarding locomotives described in Section X of the preamble, statutory
authority is found in CAA section 209. CAA section 209(e)(1)(B), 42
U.S.C. 7543(e)(1)(B), prohibits states and political subdivisions
thereof from adopting or attempting to enforce any standard or other
requirement relating to the control of emissions from new locomotives
or new engines used in locomotives. However, CAA section 209(e)(2)(A)-
(B), 42 U.S.C. 7543(e)(2)(A)-(B), requires EPA to authorize, after
notice and an opportunity for public hearing, California to adopt and
enforce standards and other requirements relating to control of
emissions from other nonroad vehicles or engines provided certain
criteria are met, and allows states other than California to adopt and
enforce, after notice to EPA, such standards provided they are
equivalent to California's authorized standards. CAA section
209(e)(2)(B) then requires EPA to issue regulations to implement
subsection 209(e).
E. Coordination With Federal and State Partners
Executive Order 14037 directs EPA and DOT to coordinate, as
appropriate and consistent with applicable law, during consideration of
this rulemaking. EPA has coordinated and consulted with DOT/NHTSA, both
on a bilateral level during the development of the proposed program as
well as through the interagency review of the EPA proposal led by the
Office of Management and Budget. EPA has set some previous heavy-duty
vehicle GHG emission standards in joint rulemakings where NHTSA also
established heavy-duty fuel efficiency standards. In the light-duty GHG
emission rulemaking establishing standards for model years 2023 through
2026, EPA and NHTSA concluded that it was appropriate to coordinate and
consult but not to engage in joint rulemaking. EPA has similarly
concluded that it is not necessary for this EPA proposal to be issued
in a joint action with NHTSA. In reaching this conclusion, EPA notes
there is no statutory requirement for joint rulemaking and that the
agencies have different statutory mandates and their respective
programs have always reflected those differences. As the Supreme Court
has noted, ``EPA has been charged with protecting the public's 'health'
and 'welfare,' a statutory obligation wholly independent of DOT's
mandate to promote energy efficiency.'' \209\ Although there is no
statutory requirement for EPA to consult with NHTSA, EPA has consulted
with NHTSA in the development of this proposal. For example, staff of
the two agencies met frequently to discuss various technical issues and
to share technical information.
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\209\ Massachusetts v. EPA, 549 U.S. at 532.
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EPA also has consulted with other federal agencies in developing
this proposal, including the Federal Energy Regulatory Commission, the
Department of Energy and several national labs. EPA collaborates with
DOE and Argonne National Laboratory on battery cost analyses and
critical materials forecasting. EPA also coordinates with the Joint
Office of Energy and Transportation on charging infrastructure. EPA and
the Oak Ridge National Laboratory collaborate on energy security
issues. EPA also participates in the Federal Consortium for Advanced
Batteries led by DOE and the Joint Office of Energy and Transportation.
EPA and DOE also have entered into a Joint Memorandum of Understanding
to provide a framework for interagency cooperation and consultation on
electric sector resource adequacy and operational reliability.\210\
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\210\ Joint Memorandum on Interagency Communication and
Consultation on Electric Reliability, U.S. Department of Energy and
U.S. Environmental Protection Agency, March 8, 2023.
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E.O. 14037 also directs EPA to coordinate with California and other
states that are leading the way in reducing vehicle emissions, as
appropriate and consistent with applicable law, during consideration of
this rulemaking. EPA has engaged with the California Air Resources
Board on technical issues in developing this proposal. EPA has
considered certain aspects of the CARB Advanced Clean Trucks Rule, as
discussed elsewhere in this document. We also have engaged with other
states, including members of the National Association of Clean Air
Agencies, the Association of Air Pollution Control Agencies, the
Northeast States for Coordinated Air Use Management, and the Ozone
Transport Commission.
F. Stakeholder Engagement
EPA has conducted extensive engagement with a diverse range of
interested stakeholders in developing this proposal. We have engaged
with those groups with whom E.O. 14037 specifically directs EPA to
engage, including labor unions, states, industry, environmental justice
organizations and public health experts. In addition, we have engaged
with environmental NGOs, vehicle manufacturers, technology suppliers,
dealers, utilities, charging providers, Tribal governments, and other
organizations. For example, in April-May 2022, EPA held a series of
engagement sessions with organizations representing all of these
stakeholder groups so that EPA could hear early input in developing its
proposal. EPA has continued engagement with many of these stakeholders
throughout the development of this proposal. EPA looks forward to
hearing from all stakeholders through comments on this proposal and
during the public hearing.
II. Proposed CO2 Emission Standards
Under our CAA section 202(a)(1)-(2) authority, and consistent with
E.O. 14037, we are proposing new GHG standards for MYs 2027 through
2032 and later HD vehicles. We are retaining and not reopening the
nitrous oxide (N2O), methane (CH4), and
CO2 emission standards that apply to heavy-duty engines, the
HFC emission standards that apply to heavy-duty vehicles, and the
general compliance structure of existing 40 CFR part 1037 except for
some proposed revisions described in
[[Page 25952]]
Section III.\211\ In this Section II, we describe our assessment that
these stringent standards are appropriate and feasible considering lead
time, costs, and other factors. These proposed Phase 3 standards
include (1) revised GHG standards for many MY 2027 HD vehicles, and (2)
new GHG standards starting in MYs 2028 through 2032. The proposed
standards do not mandate the use of a specific technology, and EPA
anticipates that a compliant fleet under the proposed standards would
include a diverse range of technologies, including ZEV and ICE vehicle
technologies. In developing the proposed standards, EPA has considered
the key issues associated with growth in penetration of zero-emission
vehicles, including charging infrastructure and hydrogen production. In
this section, we describe our assessment of the appropriateness and
feasibility of these proposed standards and present a technology
pathway for achieving each of those standards through increased ZEV
adoption. In this section, we also present and request comment on an
alternative that would provide a more gradual phase-in of the
standards. As described in Section II.H., EPA also requests comment on
setting GHG standards starting in MYs 2027 through 2032 that would
reflect: values less stringent than the lower stringency alternative
for certain market segments, values in between the proposed standards
and the alternative standards, values in between the proposed standards
and those that would reflect ZEV adoption levels (i.e., percent of ZEVs
in production volumes) used in California's ACT, values that would
reflect the level of ZEV adoption in the ACT program, and values beyond
those that would reflect ZEV adoption levels in ACT such as the 50- to
60-percent ZEV adoption range.
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\211\ See the HD GHG Phase 2 rule (81 FR 73478, October 25,
2016), the Heavy-Duty Engine and Vehicle Technical Amendment rule
(86 FR 34308, June 29, 2021), and the HD2027 rule (88 FR 4296,
January 24, 2023). In this rulemaking, EPA is not reopening any
portion of our heavy-duty compliance provisions, flexibilities, and
testing procedures, including those in 40 CFR parts 1037, 1036, and
1065, other than those specifically identified in this document as
the subject of our proposal or a solicitation for comment. For
example, while EPA is proposing to revise discrete elements of the
HD ABT program, EPA is not reopening the general availability of
ABT.
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In the beginning of this section, we first describe the public
health and welfare need for GHG emission reductions (Section II.A). In
Section II.B, we provide an overview of the comments the Agency
received in response to the GHG standards previously proposed as part
of the HD2027 NPRM. In Section II.C, we provide a brief overview of the
existing CO2 emission standards that we promulgated in HD
GHG Phase 2. Section II.D contains our technology assessment and
Section II.E includes our assessment of technology costs, EVSE costs,
operating costs, and payback. Section II.F includes the proposed
standards and the analysis demonstrating the feasibility and Section
II.G discusses the feasibility and appropriateness of the proposed
emission standards under the Clean Air Act. Section II.H presents
potential alternatives to the proposed standards, including requests
for comment on standards other than those proposed. Finally, Section
II.I summarizes our consideration of small businesses.
A. Public Health and Welfare Need for GHG Emission Reductions
The transportation sector is the largest U.S. source of GHG
emissions, representing 27 percent of total GHG emissions.\212\ Within
the transportation sector, heavy-duty vehicles are the second largest
contributor, at 25 percent.\213\ GHG emissions have significant impacts
on public health and welfare as set forth in EPA's 2009 Endangerment
and Cause or Contribute Findings under CAA section 202(a) and as
evidenced by the well-documented scientific record.\214\
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\212\ Inventory of U.S. Greenhouse Gas Emissions and Sinks:
1990-2020 (EPA-430-R-22-003), published April 2022.
\213\ Ibid.
\214\ See 74 FR 66496, December 15, 2009; see also EPA's Denial
of Petitions Relating to the Endangerment and Cause or Contribute
Findings for Greenhouse Gases Under Section 202(a) of the Clean Air
Act, available at https://www.epa.gov/system/files/documents/2022-04/decision_document.pdf.
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Elevated concentrations of GHGs have been warming the planet,
leading to changes in the Earth's climate including changes in the
frequency and intensity of heat waves, precipitation, and extreme
weather events; rising seas; and retreating snow and ice. The changes
taking place in the atmosphere as a result of the well-documented
buildup of GHGs due to human activities are altering the climate at a
pace and in a way that threatens human health, society, and the natural
environment. While EPA is not making any new scientific or factual
findings with regard to the well-documented impact of GHG emissions on
public health and welfare in support of this rule, EPA is providing
some scientific background on climate change to offer additional
context for this rulemaking and to increase the public's understanding
of the environmental impacts of GHGs.
Extensive additional information on climate change is available in
the scientific assessments and the EPA documents that are briefly
described in this section, as well as in the technical and scientific
information supporting them. One of those documents is EPA's 2009
Endangerment and Cause or Contribute Findings for Greenhouse Gases
Under section 202(a) of the CAA (74 FR 66496, December 15, 2009). In
the 2009 Endangerment Finding, the Administrator found under section
202(a) of the CAA that elevated atmospheric concentrations of six key
well-mixed GHGs--CO2, methane (CH4), nitrous
oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons
(PFCs), and sulfur hexafluoride (SF6)--``may reasonably be
anticipated to endanger the public health and welfare of current and
future generations'' (74 FR 66523). The 2009 Endangerment Finding,
together with the extensive scientific and technical evidence in the
supporting record, documented that climate change caused by human
emissions of GHGs (including HFCs) threatens the public health of the
U.S. population. It explained that by raising average temperatures,
climate change increases the likelihood of heat waves, which are
associated with increased deaths and illnesses (74 FR 66497). While
climate change also increases the likelihood of reductions in cold-
related mortality, evidence indicates that the increases in heat
mortality will be larger than the decreases in cold mortality in the
United States (74 FR 66525). The 2009 Endangerment Finding further
explained that compared with a future without climate change, climate
change is expected to increase tropospheric ozone pollution over broad
areas of the United States., including in the largest metropolitan
areas with the worst tropospheric ozone problems, and thereby increase
the risk of adverse effects on public health (74 FR 66525). Climate
change is also expected to cause more intense hurricanes and more
frequent and intense storms of other types and heavy precipitation,
with impacts on other areas of public health, such as the potential for
increased deaths, injuries, infectious and waterborne diseases, and
stress-related disorders (74 FR 66525). Children, the elderly, and the
poor are among the most vulnerable to these climate-related health
effects (74 FR 66498).
[[Page 25953]]
The 2009 Endangerment Finding also documented, together with the
extensive scientific and technical evidence in the supporting record,
that climate change touches nearly every aspect of public welfare \215\
in the United States., including: changes in water supply and quality
due to changes in drought and extreme rainfall events; increased risk
of storm surge and flooding in coastal areas and land loss due to
inundation; increases in peak electricity demand and risks to
electricity infrastructure; and the potential for significant
agricultural disruptions and crop failures (though offset to a lesser
extent by carbon fertilization). These impacts are also global and may
exacerbate problems outside the United States. that raise humanitarian,
trade, and national security issues for the U.S. (74 FR 66530).
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\215\ The CAA states in section 302(h) that ``[a]ll language
referring to effects on welfare includes, but is not limited to,
effects on soils, water, crops, vegetation, manmade materials,
animals, wildlife, weather, visibility, and climate, damage to and
deterioration of property, and hazards to transportation, as well as
effects on economic values and on personal comfort and well-being,
whether caused by transformation, conversion, or combination with
other air pollutants.'' 42 U.S.C. 7602(h).
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The most recent information demonstrates that the climate is
continuing to change in response to the human-induced buildup of GHGs
in the atmosphere. Recent scientific assessments show that atmospheric
concentrations of GHGs have risen to a level that has no precedent in
human history and that they continue to climb, primarily because of
both historic and current anthropogenic emissions, and that these
elevated concentrations endanger our health by affecting our food and
water sources, the air we breathe, the weather we experience, and our
interactions with the natural and built environments.
Global average temperature has increased by about 1.1 degrees
Celsius ([deg]C) (2.0 degrees Fahrenheit ([deg]F)) in the 2011-2020
decade relative to 1850-1900. The IPCC determined with medium
confidence that this past decade was warmer than any multi-century
period in at least the past 100,000 years. Global average sea level has
risen by about 8 inches (about 21 centimeters (cm)) from 1901 to 2018,
with the rate from 2006 to 2018 (0.15 inches/year or 3.7 millimeters
(mm)/year) almost twice the rate over the 1971 to 2006 period, and
three times the rate of the 1901 to 2018 period. The rate of sea level
rise during the 20th Century was higher than in any other century in at
least the last 2,800 years. The CO2 being absorbed by the
ocean has resulted in changes in ocean chemistry due to acidification
of a magnitude not seen in 65 million years \216\ putting many marine
species--particularly calcifying species--at risk. Human-induced
climate change has led to heatwaves and heavy precipitation becoming
more frequent and more intense, along with increases in agricultural
and ecological droughts \217\ in many regions.\218\ The NCA4 found that
it is very likely (greater than 90 percent likelihood) that by mid-
century, the Arctic Ocean will be almost entirely free of sea ice by
late summer for the first time in about 2 million years.\219\ Coral
reefs will be at risk for almost complete (99 percent) losses with 1
[deg]C (1.8 [deg]F) of additional warming from today (2 [deg]C or 3.6
[deg]F since preindustrial). At this temperature, between 8 and 18
percent of animal, plant, and insect species could lose over half of
the geographic area with suitable climate for their survival, and 7 to
10 percent of rangeland livestock would be projected to be lost. The
IPCC similarly found that climate change has caused substantial damages
and increasingly irreversible losses in terrestrial, freshwater, and
coastal and open ocean marine ecosystems.\220\
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\216\ IPCC (2018): Global Warming of 1.5 [deg]C. An IPCC Special
Report on the impacts of global warming of 1.5 [deg]C above pre-
industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the
threat of climate change, sustainable development, and efforts to
eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. Portner, D.
Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C.
Pe[acute]an, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X.
Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T.
Waterfield (eds.)].
\217\ These are drought measures based on soil moisture.
\218\ IPCC (2021): Summary for Policymakers. In: Climate Change
2021: The Physical Science Basis. Contribution of Working Group I to
the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L.
Connors, C. Pe[acute]an, S. Berger, N. Caud, Y. Chen, L. Goldfarb,
M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K.
Maycock, T. Waterfield, O. Yelek[ccedil]i, R. Yu and B. Zhou
(eds.)]. Cambridge University Press.
\219\ USGCRP (2018): Impacts, Risks, and Adaptation in the
United States: Fourth National Climate Assessment, Volume II
[Reidmiller, D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M.
Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S. Global Change
Research Program, Washington, DC, USA, 1515 pp. doi: 10.7930/
NCA4.2018.
\220\ IPCC (2022): Summary for Policymakers [H.-O. P[ouml]rtner,
D.C. Roberts, E.S. Poloczanska, K. Mintenbeck, M. Tignor, A.
Alegr[iacute]a, M. Craig, S. Langsdorf, S. L[ouml]schke, V.
M[ouml]ller, A. Okem (eds.)]. In: Climate Change 2022: Impacts,
Adaptation and Vulnerability. Contribution of Working Group II to
the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change [H.-O. P[ouml]rtner, D.C. Roberts, M. Tignor, E.S.
Poloczanska, K. Mintenbeck, A. Alegr[iacute]a, M. Craig, S.
Langsdorf, S. L[ouml]schke, V. M[ouml]ller, A. Okem, B. Rama
(eds.)]. Cambridge University Press, Cambridge, UK and New York, NY,
USA, pp. 3-33, doi:10.1017/9781009325844.001.
---------------------------------------------------------------------------
In 2016, the Administrator issued a similar finding for GHG
emissions from aircraft under section 231(a)(2)(A) of the CAA.\221\ In
the 2016 Endangerment Finding, the Administrator found that the body of
scientific evidence amassed in the record for the 2009 Endangerment
Finding compellingly supported a similar endangerment finding under CAA
section 231(a)(2)(A), and also found that the science assessments
released between the 2009 and the 2016 Findings ``strengthen and
further support the judgment that GHGs in the atmosphere may reasonably
be anticipated to endanger the public health and welfare of current and
future generations'' (81 FR 54424). Pursuant to the 2009 Endangerment
and Cause or Contribute Findings, CAA section 202(a) requires EPA to
issue standards applicable to emissions of those pollutants from new
motor vehicles. See Coalition for Responsible Regulation, 684 F.3d at
116-125, 126-27; Massachusetts, 549 U.S. at 533. See also Coalition for
Responsible Regulation, 684 F.3d at 127-29 (upholding EPA's light-duty
GHG emission standards for MYs 2012-2016 in their entirety).\222\ Since
the 2016 Endangerment Finding, the climate has continued to change,
with new observational records being set for several climate indicators
such as global average surface temperatures, GHG concentrations, and
sea level rise. Additionally, major scientific assessments continue to
be released that further advance our understanding of the climate
system and the impacts that GHGs have on public health and welfare both
for current and future generations. These updated observations and
projections document the rapid rate of current and future climate
change both globally and in the United
States.223 224 225 226
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\221\ ``Finding that Greenhouse Gas Emissions from Aircraft
Cause or Contribute to Air Pollution That May Reasonably Be
Anticipated To Endanger Public Health and Welfare.'' 81 FR 54422,
August 15, 2016. (``2016 Endangerment Finding'').
\222\ See also EPA's Denial of Petitions Relating to the
Endangerment and Cause or Contribute Findings for Greenhouse Gases
Under Section 202(a) of the Clean Air Act (Apr. 2022), available at
https://www.epa.gov/system/files/documents/2022-04/decision_document.pdf.
\223\ USGCRP, 2018: Impacts, Risks, and Adaptation in the United
States: Fourth National Climate Assessment, Volume II [Reidmiller,
D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M. Lewis, T.K.
Maycock, and B.C. Stewart (eds.)]. U.S. Global Change Research
Program, Washington, DC, USA, 1515 pp. doi: 10.7930/NCA4.2018.
https://nca2018.globalchange.gov.
\224\ Roy, J., P. Tschakert, H. Waisman, S. Abdul Halim, P.
Antwi-Agyei, P. Dasgupta, B. Hayward, M. Kanninen, D. Liverman, C.
Okereke, P.F. Pinho, K. Riahi, and A.G. Suarez Rodriguez, 2018:
Sustainable Development, Poverty Eradication and Reducing
Inequalities. In: Global Warming of 1.5 [deg]C. An IPCC Special
Report on the impacts of global warming of 1.5 [deg]C above pre-
industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the
threat of climate change, sustainable development, and efforts to
eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. P[ouml]rtner,
D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C.
P[eacute]an, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X.
Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T.
Waterfield (eds.)]. In Press. https://www.ipcc.ch/sr15/chapter/chapter-5.
\225\ National Academies of Sciences, Engineering, and Medicine.
2019. Climate Change and Ecosystems. Washington, DC: The National
Academies Press. https://doi.org/10.17226/25504.
\226\ NOAA National Centers for Environmental Information, State
of the Climate: Global Climate Report for Annual 2020, published
online January 2021, retrieved on February 10, 2021, from https://www.ncdc.noaa.gov/sotc/global/202013.
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[[Page 25954]]
B. Summary of Comments Received From HD2027 NPRM
We received a significant number of comments to the proposed
updates to the HD GHG emission standards proposed as part of the HD2027
NPRM.\227\ A number of commenters provided support and reasoning for
revising the HD CO2 standards while a number of other
commenters expressed concerns about reopening the HD GHG Phase 2
program. This Section II.B includes a summary of the comments received.
Commenters who would like EPA to further consider in this rulemaking
any relevant comments that they provided on the HD2027 NPRM regarding
proposed HD vehicle GHG standards for the MYs at issue in this proposal
must resubmit those comments to EPA during this proposal's comment
period. EPA considered the comments received in response to the HD2027
NPRM when developing this Phase 3 proposal. The proposed standards were
developed based on a more in-depth analysis of the potential for
electrification of the heavy-duty sector and attendant emissions
reductions than was used in the HD2027 NPRM analysis and is described
in Sections II.D through II.F. This analysis addresses many of the
concerns raised in comments summarized in the following subsections,
such as the need to consider a wide range of HD applications,
technology and operating costs of BEVs, the impact of heating and
cooling on the energy demands of electric vehicles, infrastructure
concerns, and the potential impact of weight and space for packaging of
batteries. This analysis also includes consideration of the IRA
provisions that provide significant financial incentives for the heavy-
duty ZEV market and reduce or eliminate the cost difference between ICE
vehicles and ZEVs. In consideration of some commenters' concerns about
the time needed for research plans, product development, manufacturing
investment, and charging infrastructure, we discuss these topics in our
technical analysis supporting this NPRM. As described in Section II.H.,
EPA also requests comment on setting GHG standards starting in MYs 2027
through 2032 that would reflect: values less stringent than the lower
stringency alternative for certain market segments, values in between
the proposed standards and the alternative standards, values in between
the proposed standards and those that would reflect ZEV adoption levels
(i.e., percent of ZEVs in production volumes) used in California's ACT,
values that would reflect the level of ZEV adoption in the ACT program,
and values beyond those that would reflect ZEV adoption levels in ACT
such as the 50- to 60-percent ZEV adoption range.
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\227\ For the complete set of comments, please see U.S. EPA,
``Control of Air Pollution from New Motor Vehicles: Heavy-Duty
Engine and Vehicle Standards--Response to Comments.'' (RTC) Section
28. Docket EPA-HQ-OAR-201 9-0055.
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1. Summary of Comments in Support of Revising the Phase 2 GHG Emission
Standards for MY 2027
Many commenters, including non-governmental organizations, states,
and mass comment campaigns, provided support for revising the targeted
HD vehicle MY 2027 CO2 emission standards to reflect the
increase in electrification of the HD market and attendant potential
for additional emission reductions. Additionally, many commenters
suggested that EPA should further reduce the emission standards in MYs
2027 through 2029 beyond the levels proposed because of the
accelerating adoption of HD ZEVs. Many commenters also highlighted that
five additional states besides California adopted the California ACT
program in late 2021 and noted that this would also drive additional
electrification in the HD segment of the transportation sector.\228\
Finally, some commenters pointed to the ``Multi-State Medium and Heavy-
Duty Zero Emission Vehicle Memorandum of Understanding'' (Multi-State
MOU) signed by 17 states and the District of Columbia establishing
goals to increase HD electric vehicle sales in those jurisdictions to
30 percent by 2030 and 100 percent by 2050. Commenters also provided a
number of reports that evaluate the potential of electrification of the
HD sector in terms of adoption rates, costs, and other factors.
---------------------------------------------------------------------------
\228\ Ibid. Many commenters in HD2027 RTC Section 28.1.1 pointed
to ACT.
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Some of the commenters provided specific recommendations for HD ZEV
adoption rates in the MYs 2027 through 2029 timeframe. For example, the
American Council for an Energy-Efficient Economy (ACEEE) suggested
that, based on a recent NREL study, EPA could set standards that
reflect 20 percent electrification in MY 2027 and up to 40 percent in
MY 2029.\229\ The Environmental Defense Fund (EDF) suggested standards
to achieve 80 percent sales of ZEVs for new school and transit buses
and 40 percent of new Class 4-7 vehicles and Class 8 short-haul
vehicles by MY 2029.\230\ EDF also referenced an analysis from
Environmental Resources Management (ERM) that included a range of
scenarios, with midpoint scenarios projecting HD ZEV deployment in
excess of 20 percent in MY 2029 and more optimistic scenarios
projecting HD ZEV sales of over 33 percent of all Class 4-8 single unit
trucks, short-haul tractors, and school and transit buses in MY
2029.\231\ The ICCT suggested HD ZEV ranges of 15 to 40 percent
depending on the vehicle segment in MY 2027, increasing up to 40 to 80
percent in MY 2029.\232\ Moving Forward Network suggested that ZEVs
could comprise 20 percent of new sales in MY 2027 and increase 10
percent each year, with a goal of 100 percent by MY 2035.\233\ Tesla
referenced a NREL study, a forecast from Americas Commercial
Transportation Research Co. (ACT Research) that projected a 26 percent
sales share of HD ZEVs nationwide in 2030, and another study that
projected 25 percent of the global HD fleet will be electric by
2030.\234\ Other commenters,
[[Page 25955]]
such as AMPLY Power (rebranded to bp plus), suggest that the federal
CO2 emission standards should achieve ZEV deployments on par
with California's ACT program.\235\
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\229\ ACEEE comments on the HD2027 NPRM. See Docket Entry EPA-
HQ-OAR-2019-0055-2852-A1. Referencing Catherine Ledna et al.,
`Decarbonizing Medium-& Heavy-Duty On-Road Vehicles: Zero-Emission
Vehicles Cost Analysis' (NREL, March 2022), available at https://www.nrel.gov/docs/fy22osti/82081.pdf.
\230\ EDF comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1, pp.16-17.
\231\ EDF comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1 (citing Rachel MacIntosh, Sophie Tolomiczenko,
Grace Van Horn. April 2022. Electric Vehicle Market Update:
Manufacturer Commitments and Public Policy Initiatives Supporting
Electric Mobility in the U.S. and Worldwide, ERM for EDF, Version 6
(April 2022), available at https://blogs.edf.org/climate411/files/2022/04/electric_vehicle_market_report_v6_april2022.pdf.
\232\ ICCT Comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1211-A1, p. 6.
\233\ Moving Forward Network Comments on the HD2027 NPRM. See
Docket Entry EPA-HQ-OAR-2019-0055-1277-A1, pp. 19-20.
\234\ Tesla Comments on the HD2027 NPRM. See Docket Entry EPA-
HQ-OAR-2019-0055-1219-A1, p.9 (citing HDT Truckinginfo, ACT: Third
of Class 4-8 Vehicles to be Battery-Electric in 10 Year (June 4,
2021); Fleet Owner, Disruption in trucking technology (Jan. 13,
2020); and MJ Bradley, Medium- & Heavy-Duty Vehicles: Market
Structure, Environmental Impact, and EV Readiness (Aug. 11, 2022)).
\235\ AMPLY Comments on the HD2027 NPRM. See Docket Entry EPA-
HQ-OAR-2019-0055-1236-A1, p. 1.
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Some commenters also referred to manufacturer statements regarding
such manufacturers' projections for HD electrification. For example,
ACEEE pointed to Volvo's and Scania's announcements for global
electrification targets of 50 percent by 2030.\236\ EDF pointed to
several manufacturer's statements.\237\ First, EDF noted Daimler Trucks
North America has committed to offering only carbon-neutral trucks in
the United States by 2039 and expects that by 2030, as much as 60
percent of its sales will be ZEVs.\238\ Second, EDF noted Navistar has
a goal of having 50 percent of its sales volume be ZEVs by 2030, and
its commitment to achieve 100 percent zero emissions by 2040 across all
operations and carbon-neutrality by 2050.\239\
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\236\ ACEEE Comments on the HD2027 NPRM. See Docket Entry EPA-
HQ-OAR-2019-0055-0055-2852-A1. Citing Scania, `Scania's
Electrification Roadmap,' Scania Group, November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html; AB Volvo, `Volvo Trucks Launches
Electric Truck with Longer Range,' Volvo Group, January 14, 2022,
https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\237\ EDF comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1.
\238\ EDF comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1 (citing David Cullen, ``Daimler to Offer
Carbon Neutral Trucks by 2039,'' (October 25, 2019), https://www.truckinginfo.com/343243/daimler-aims-to-offer-only-co2-neutral-trucks-by-2039-in-key-markets (last accessed October 2022) and
Deborah Lockridge, ``What Does Daimler Truck Spin-off Mean for North
America?,'' Trucking Info (November 11, 2021), https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america (last accessed October 2022)).
\239\ EDF comments on the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1 (citing Navistar presentation at the Advanced
Clean Transportation Expo, Long Beach, CA (May 9-11, 2022)).
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Finally, some commenters discussed hydrogen-powered ICEs and
asserted that there are benefits associated with that technology as a
potential CO2-reducing technology for the HD segment of the
transportation sector.\240\
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\240\ BorgWarner comments on the HD2027 NPRM. See Docket Entry
EPA-HQ-OAR-2019-0055-1234-A1, p. 3; Westport Fuel Systems comments
on the HD2027 NPRM. See Docket Entry EPA-HQ-OAR-2019-0055-1278-A1,
p. 5.
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2. Summary of Comments Expressing Concern With Revising the Phase 2 GHG
Emission Standards for MY 2027
Some commenters raised concerns with the HD2027 NPRM proposed
changes to certain HD GHG Phase 2 CO2 emission standards.
Some highlighted the significant investment and lead time required for
development and verification of durability of ZEVs and stated EPA
should not adopt standards that project broad adoption of heavy-duty
ZEVs.
Some commenters stated that EPA should not reopen the HD GHG Phase
2 emission standards.\241\ Several manufacturers and suppliers pointed
to the need for regulatory certainty and stability, stating that
reopening the Phase 2 standards would threaten their long-term
investments and production planning. Some commenters went further and
stated that certain technologies that EPA projected for use to meet the
existing Phase 2 emission standards are seeing lower-than-expected
penetration rates in MY 2021; these commenters suggested that EPA relax
the Phase 2 standards.\242\ The technologies highlighted by the
commenters suggesting that EPA relax Phase 2 standards include tamper-
resistant automatic shutdown systems, neutral idle, low rolling
resistance tires, stop-start, and advanced transmission shift
strategies.
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\241\ Daimler Trucks comments on the HD2027 NPRM. See Docket
Entry EPA-HQ-OAR-2019-0055-1168-A1, p.112; Navistar Comments on the
HD2027 NPRM. See Docket Entry EPA-HQ-OAR-2019-0055-1318-A1, p. 6;
PACCAR Comments on the HD2027 NPRM. See Docket Entry EPA-HQ-OAR-
2019-0055-1346-A1, p. 3; Truck and Engine Manufacturer's Association
Comments on the HD2027 NPRM. See Docket Entry EPA-HQ-OAR-2019-0055-
1203-A1, pp. 7-8; Volvo Group Comments on the HD2027 NPRM. See
Docket Entry EPA-HQ-OAR-2019-0055-1324-A1, p. 7.
\242\ Truck and Engine Manufacturer's Association Comments on
the HD2027 NPRM. See Docket Entry EPA-HQ-OAR-2019-0055-1203-A1, p.
108.
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Commenters also stated that it takes time to develop ZEV
technologies for the wide range of HD applications. They also raised
concerns regarding asserted high costs and long lead times associated
with the necessary charging infrastructure, the weight impact of
batteries, the impact of battery degradation and ambient temperatures
on the range of electric vehicles, and the impact on operations due to
the time required to charge. Commenters also raised issues regarding
the upstream and lifecycle emissions impact of ZEVs, including minerals
and battery manufacturing, battery disposal and recycling, potential
higher tire and brake wear from electric vehicles, and the availability
of minerals and other supply chain issues.
Some commenters raised concerns about the approach used in the
HD2027 NPRM to project ZEV sales in MY 2027. Concerns raised by
commenters include the uncertainty of the actual production levels
needed to meet California ACT program requirements; that EPA has not
approved a waiver for the California ACT program and, therefore, should
not consider full implementation of that program; and that the current
HD ZEVs are expensive.
One commenter raised concerns related to small businesses. The
commenter stated that its less diverse product mix and low sales volume
present challenges in meeting the proposed GHG standards in the HD2027
NPRM.
C. Background on the CO2 Emission Standards in the HD GHG Phase 2
Program
In the Phase 2 Heavy-Duty GHG rule, we finalized GHG emission
standards tailored to three regulatory categories of HD vehicles--
heavy-duty pickups and vans, vocational vehicles, and combination
tractors.\243\ In addition, we set separate standards for the engines
that power combination tractors and for the engines that power
vocational vehicles. The heavy-duty vehicle CO2 emission
standards are in grams per ton-mile, which represents the grams of
CO2 emitted to move one ton of payload a distance of one
mile. In promulgating the Phase 2 standards, we explained that the
stringency of the Phase 2 standards were derived on a fleet average
technology mix basis and that the emission averaging provisions of ABT
meant that the regulations did not require all vehicles to meet the
standards (contrasted with the banking and trading provisions of the HD
GHG Phase 2 ABT program which were not relied upon in selecting the
stringency the HD GHG Phase 2 standards). For example, we projected
that diversified manufacturers would continue to use the averaging
provisions in the ABT program to meet the standards on average for each
of their vehicle families. In addition, the Phase 2 program established
subcategories of vehicles (i.e., custom chassis vocational
[[Page 25956]]
vehicles and heavy-haul tractors) that were specifically designed to
recognize the limitations of certain vehicle applications to adopt some
technologies due to specialized operating characteristics or generally
low sales volumes with prohibitively long payback periods. The vehicles
certified to the custom chassis vocational vehicle standards are not
permitted to bank or trade credits and some have limited averaging
provisions under the HD GHG Phase 2 ABT program.\244\
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\243\ We also set standards for certain types of trailers used
in combination with tractors (see 81 FR 73639, October 25, 2016). As
described in Section III of this preamble, we are proposing to
remove the regulatory provisions related to trailers in 40 CFR part
1037 to carry out a decision by the U.S. Court of Appeals for the
D.C. Circuit, which vacated the portions of the HD GHG Phase 2 final
rule that apply to trailers. Truck Trailer Manufacturers Association
v. EPA, 17 F.4th 1198 (D.C. Cir. 2021).
\244\ See 40 CFR 1037.105(h)(2).
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In this proposal, we continue to expect averaging would play an
important role in manufacturer strategies to meet the proposed
standards. In Section II.F, we are proposing new standards for
vocational vehicles and combination tractors, which we project are
feasible to meet through a technology pathway where vehicle
manufacturers would adopt ZEV technologies for a portion of their
product lines. This Section II.C includes additional background
information on these two vehicle categories. At this time, we are not
proposing to update engine standards in 40 CFR 1036.108. Additionally,
we intend to separately pursue a combined light-duty and medium-duty
rulemaking to propose more stringent standards for complete and
incomplete vehicles at or below 14,000 pounds. GVWR that are certified
under 40 CFR part 86, subpart S. Manufacturers of incomplete vehicles
at or below 14,000 pounds GVWR would continue to have the option of
either meeting the greenhouse gas standards under 40 CFR parts 1036 and
1037, or instead meeting the greenhouse gas standards with chassis-
based measurement procedures under 40 CFR part 86, subpart S.
We are continuing and are not reopening the existing approach taken
in both HD GHG Phase 1 and Phase 2, that compliance with the vehicle
exhaust CO2 emission standards is based on CO2
emissions from the vehicle. See 76 FR 57123 (September 15, 2011); see
also 77 FR 51705 (August 24, 2012), 77 FR 51500 (August 27, 2012), and
81 FR 75300 (October 25, 2016). EPA's heavy-duty standards have been in
place as engine- and vehicle-based standards for decades, for all
engine and vehicle technologies. We estimated the upstream emission
impact of the proposed standards for heavy-duty vehicles on both the
refinery and electricity generation sectors, as shown in Section V, and
those analyses also support the proposed CO2 emission
standards.
1. Vocational Vehicles
Vocational vehicles include a wide variety of vehicle types,
spanning Class 2b-8, and serve a wide range of functions. We define
vocational vehicles as all heavy-duty vehicles greater than 8,500 lb
GVWR that are not certified under 40 CFR part 86, subpart S, or a
combination tractor under 40 CFR 1037.106.\245\ Some examples of
vocational vehicles include urban delivery trucks, refuse haulers,
utility service trucks, dump trucks, concrete mixers, transit buses,
shuttle buses, school buses, emergency vehicles, motor homes, and tow
trucks. The HD GHG Phase 2 vocational vehicle program also includes a
special regulatory subcategory called vocational tractors, which covers
vehicles that are technically tractors but generally operate more like
vocational vehicles than line-haul tractors. These vocational tractors
include those designed to operate off-road and in certain intra-city
delivery routes.
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\245\ See 40 CFR 1037.105(a).
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The existing HD GHG Phase 2 CO2 standards for vocational
vehicles are based on the performance of a wide array of control
technologies. In particular, the HD GHG Phase 2 vocational vehicle
standards recognize detailed characteristics of vehicle powertrains and
drivelines. Driveline improvements present a significant opportunity
for reducing fuel consumption and CO2 emissions from
vocational vehicles. However, there is no single package of driveline
technologies that will be equally suitable for all vocational vehicles,
because there is an extremely broad range of driveline configurations
available in the market. This is due in part to the variety of final
vehicle build configurations, ranging from a purpose-built custom
chassis to a commercial chassis that may be intended as a multi-purpose
stock vehicle. Furthermore, the wide range of applications and driving
patterns of these vocational vehicles leads manufacturers to offer a
variety of drivelines, as each performs differently in use.
In the final HD GHG Phase 2 rule, we recognized the diversity of
vocational vehicle applications by setting unique CO2
emission standards evaluated over composite drive cycles for 23
different regulatory subcategories. The program includes vocational
vehicle standards that allow the technologies that perform best at
highway speeds and those that perform best in urban driving to each be
properly recognized over appropriate drive cycles, while avoiding
potential unintended results of forcing vocational vehicles that are
designed to serve in different applications to be measured against a
single drive cycle. The vehicle CO2 emissions are evaluated
using EPA's Greenhouse Gas Emissions Model (GEM) over three drive
cycles, where the composite weightings vary by subcategory, with the
intent of balancing the competing pressures to recognize the varying
performance of technologies, serve the wide range of customer needs,
and maintain a workable regulatory program.\246\ The HD GHG Phase 2
primary vocational standards, therefore, contain subcategories for
Regional, Multi-purpose, and Urban drive cycles in each of the three
weight classes (Light Heavy-Duty (Class 2b-5), Medium Heavy-Duty (Class
6-7) and Heavy Heavy-Duty (Class 8)), for a total of nine unique
subcategories.\247\ These nine subcategories apply for compression-
ignition (CI) vehicles. We separately, but similarly, established six
subcategories of spark-ignition (SI) vehicles. In other words, there
are 15 separate numerical performance-based emission standards for each
model year.
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\246\ GEM is an EPA vehicle simulation tool used to certify HD
vehicles. A detailed description of GEM can be found in the Phase 2
Regulatory Impacts Analysis or at https://www.epa.gov/regulations-emissions-vehicles-and-engines/greenhouse-gas-emissions-model-gem-medium-and-heavy-duty.
\247\ See 40 CFR 1037.140(g) and (h).
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EPA also established optional custom chassis categories in the
Phase 2 rule in recognition of the unique technical characteristics of
these applications. These categories also recognize that many
manufacturers of these custom chassis are not full-line heavy-duty
vehicle companies and thus do not have the same flexibilities as other
firms in the use of the Phase 2 program emissions averaging program
which could lead to challenges in meeting the standards EPA established
for the overall vocational vehicle and combination tractor program. We
therefore established optional custom chassis CO2 emission
standards for Motorhomes, Refuse Haulers, Coach Buses, School Buses,
Transit Buses, Concrete Mixers, Mixed Use Vehicles, and Emergency
Vehicles.\248\ In total, EPA set CO2 emission standards for
15 subcategories of vocational vehicles and eight subcategories of
specialty vehicle
[[Page 25957]]
types for a total of 23 vocational vehicle subcategories.
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\248\ The numeric values of the optional custom chassis
standards are not directly comparable to the primary vocational
vehicle standards. As explained in the HD GHG Phase 2 rule, there
are simplifications in GEM that produce higher or lower
CO2 emissions. 81 FR 73686-73688. October 25, 2016.
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The HD GHG Phase 2 standards phase in over a period of seven years,
beginning with MY 2021. The HD GHG Phase 2 program progresses in three-
year stages with an intermediate set of standards in MY 2024 and final
standards in MY 2027 and later. In the HD GHG Phase 2 final rule, we
identified a potential technology path for complying with each of the
three increasingly stringent stages of the HD GHG Phase 2 program
standards. These standards are based on the performance of more
efficient engines, workday idle reduction technologies, improved
transmissions including mild hybrid powertrains, axle technologies,
weight reduction, electrified accessories, tire pressure systems, and
tire rolling resistance improvements. We developed the Phase 2
vocational vehicle standards using the methodology where we applied
fleet average technology mixes to fleet average baseline vehicle
configurations, and each average baseline and technology mix was unique
for each vehicle subcategory.\249\ When the HD GHG Phase 2 final rule
was promulgated in 2016, we established CO2 standards on the
premise that electrification of the heavy-duty market would occur in
the future but was unlikely to occur at significant sales volumes in
the timeframe of the program. As a result, the Phase 2 vocational
vehicle CO2 standards were not in any way premised on the
application of ZEV technologies. Instead, we finalized BEV, PHEV, and
FCEV advanced technology credit multipliers within the HD GHG ABT
program to incentivize a transition to these technologies (see Section
III of this preamble for further discussion on this program and
proposed changes). Details regarding the HD GHG Phase 2 standards can
be found in the HD GHG Phase 2 final rule preamble, and the HD GHG
Phase 2 vocational vehicle standards are codified at 40 CFR part
1037.\250\
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\249\ 81 FR 73715, October 25, 2016.
\250\ 81 FR 73677-73725, October 25, 2016.
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2. Combination Tractors
The tractor regulatory structure is attribute-based in terms of
dividing the tractor category into ten subcategories based on the
tractor's weight rating, cab configuration, and roof height. The
tractors are subdivided into three weight ratings--Class 7 with a gross
vehicle weight rating (GVWR) of 26,001 to 35,000 pounds; Class 8 with a
GVWR over 33,000 pounds; and Heavy-haul with a gross combined weight
rating of greater than or equal to 120,000 pounds.\251\ The Class 7 and
8 tractor cab configurations are either day cab or sleeper cab. Day cab
tractors are typically used for shorter haul operations, whereas
sleeper cabs are often used in long haul operations. EPA set
CO2 emission standards for 10 tractor subcategories.
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\251\ See 40 CFR 1037.801.
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Similar to the vocational program, implementation of the HD GHG
Phase 2 tractor standards began in MY 2021 and will be fully phased in
for MY 2027. In the HD GHG Phase 2 final rule, EPA analyzed the
feasibility of achieving the CO2 standards and identified
technology pathways for achieving the standards. The existing HD GHG
Phase 2 CO2 emission standards for combination tractors
reflect reductions that can be achieved through improvements in the
tractor's powertrain, aerodynamics, tires, idle reduction, and other
vehicle systems as demonstrated using GEM. As we did for vocational
vehicles, we developed a potential technology package for each of the
tractor subcategories that represented a fleet average application of a
mix of technologies to demonstrate the feasibility of the standard for
each MY.\252\ EPA did not premise the HD GHG Phase 2 CO2
tractor emission standards on application of hybrid powertrains or ZEV
technologies. However, we predicted some limited use of these
technologies in MY 2021 and beyond and we finalized BEV, PHEV, and FCEV
advanced technology credit multipliers within the HD GHG ABT program to
incentivize a transition to these technologies (see Section III of this
preamble for further discussion on this program and proposed changes).
More details can be found in the HD GHG Phase 2 final rule preamble,
and the HD GHG Phase 2 tractor standards are codified at 40 CFR part
1037.\253\
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\252\ 81 FR 73602-73611, October 25, 2016.
\253\ 81 FR 73571, October 25, 2016.
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3. Heavy-Duty Engines
In HD GHG Phase 1, we developed a regulatory structure for
CO2, nitrous oxide (N2O), and methane (CH4) emission
standards that apply to the engine, separate from the HD vocational
vehicle and tractor. The regulatory structure includes separate
standards for spark-ignition engines (such as gasoline engines) and
compression-ignition engines (such as diesel engines), and for heavy
heavy-duty (HHD), medium heavy-duty (MHD) and light heavy-duty (LHD)
engines, that also apply to alternative fuel engines. We also used this
regulatory structure for HD engines in HD GHG Phase 2. More details can
be found in the HD GHG Phase 2 final rule preamble, and the HD GHG
Phase 2 engine standards are codified at 40 CFR part 1036.\254\
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\254\ 81 FR 73553-73571, October 25, 2016.
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4. Heavy-Duty Vehicle Average, Banking, and Trading Program
Beginning in HD GHG Phase 1, EPA adopted an averaging, banking, and
trading (ABT) program for CO2 emission credits that allows
ABT within a vehicle weight class.\255\ For the HD GHG Phase 2 ABT
program, the three credit averaging sets for HD vehicles are Light
Heavy-Duty Vehicles, Medium Heavy-Duty Vehicles, and Heavy Heavy-Duty
Vehicles. This approach allows ABT between CI-powered vehicles, SI-
powered vehicles, BEVs, FCEVs, and hybrid vehicles in the same weight
class, which have the same regulatory useful life. Although the
vocational vehicle emission standards are subdivided by Urban, Multi-
purpose, and Regional regulatory subcategories, credit exchanges are
currently allowed between them within the same weight class. However,
these averaging sets currently exclude vehicles certified to the
separate optional custom chassis standards. Finally, the ABT program
currently allows credits to exchange between vocational vehicles and
tractors within a weight class.
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\255\ 40 CFR 1037.701 through 1037.750.
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ABT is commonly used by vehicle manufacturers for the HD GHG Phase
2 program. In MY 2022, 93 percent of the vehicle families (256 out of
276 families) certified used ABT.\256\ Similarly, 29 out of 40
manufacturers in MY 2022 used ABT to certify some or all of their
vehicle families. Most of the manufacturers that did not use ABT
produced vehicles that were certified to the optional custom chassis
standards where the banking and trading components of ABT are not
allowed, and averaging is limited.\257\
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\256\ U.S. EPA Heavy-Duty Vehicle Certification Data. Last
accessed on January 25, 2023 at https://www.epa.gov/compliance-and-fuel-economy-data/annual-certification-data-vehicles-engines-and-equipment.
\257\ See 40 CFR 1037.105(h)(2) for details.
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[[Page 25958]]
D. Vehicle Technologies
As explained in Section ES.B, EPA is both proposing to revise the
MY 2027 HD vehicle CO2 emission standards and proposing new
CO2 emission standards that phase in annually from MY 2028
through 2032 for HD vocational vehicles and tractors. We are proposing
that these Phase 3 vehicle standards are appropriate and feasible,
including consideration of cost of compliance and other factors, for
their respective MYs and vehicle subcategories through technology
improvements in several areas. To support the feasibility and
appropriateness of the proposed standards, we evaluated each technology
and estimated a potential technology adoption rate in each vehicle
subcategory per MY (our technology packages) that EPA projects is
achievable based on nationwide production volumes, considering lead
time, technical feasibility, cost, and other factors. At the same time,
the proposed standards are performance-based and do not mandate any
specific technology for any manufacturer or any vehicle subcategory.
The following subsections describe the GHG emission-reducing
technologies for HD vehicles considered in the proposal, including
those for HD vehicles with ICE (Section II.D.1), BEVs (Section II.D.2),
and FCEVs (Section II.D.3), as well as a summary of the technology
assessment that supports the feasibility of the proposed Phase 3
standards (Section II.D.4) and the primary inputs we used in our new
technology assessment tool, Heavy-Duty Technology Resource Use Case
Scenario (HD TRUCS), that we developed to evaluate the design features
needed to meet the power and energy demands of various HD vehicles when
using ZEV technologies, as well as costs related to manufacturing,
purchasing and operating ICE and ZEV technologies (Section II.D.5).
We are not proposing changes to the existing Phase 2 GHG emission
standards for HD engines and are not reopening those standards in this
rulemaking. As noted in the following section and DRIA Chapter 1.4,
there are technologies available that can reduce GHG emissions from HD
engines, and we anticipate that many of them will be used to meet the
MY 2024 and MY 2027 CO2 emission standards, while
development is underway to meet the new low NOX standards
for MY 2027.\258\ At this time, we believe that additional GHG
reductions would be best driven through more stringent vehicle-level
CO2 emission standards as we are proposing in this
rulemaking, which also account for the engine's CO2
emissions, instead of also proposing new CO2 emission
standards that apply to heavy-duty engines.
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\258\ 40 CFR 1036.104.
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1. Technologies To Reduce GHG Emissions From HD Vehicles With ICEs
The CO2 emissions of HD vehicles vary depending on the
configuration of the vehicle. Many aspects of the vehicle impact its
emissions performance, including the engine, transmission, drive axle,
aerodynamics, and rolling resistance. For this proposed rule, as we did
for HD Phase 1 and Phase 2, we are proposing more stringent
CO2 emissions standards for each of the regulatory
subcategories based on the performance of a package of technologies
that reduce CO2 emissions. And in this rule, we developed
technology packages that include both ICE vehicle and ZEV technologies.
For each regulatory subcategory, we selected a theoretical ICE
vehicle with CO2-reducing technologies to represent the
average MY 2027 vehicle that meets the existing MY 2027 Phase 2
standards. These vehicles are used as baselines from which to evaluate
costs and effectiveness of additional technologies and more stringent
standards on a per-vehicle basis. The MY 2027 technology package for
tractors include technologies such as improved aerodynamics; low
rolling resistance tires; tire inflation systems; efficient engines,
transmissions, and drivetrains, and accessories; and extended idle
reduction for sleeper cabs, The GEM inputs for the individual
technologies that make up the fleet average technology package that
meets the existing MY 2027 CO2 tractor emission standards
are shown in Table II-1.\259\ The comparable table for vocational
vehicles is shown in Table II-2.\260\ The technology package for
vocational vehicles include technologies such as low rolling resistance
tires; tire inflation systems; efficient engines, transmissions, and
drivetrains; weight reduction; and idle reduction technologies. Note
that the HD GHG Phase 2 standards are performance-based; EPA does not
require this specific technology mix, rather the technologies shown in
Table II-1 and II-2 are potential pathways for compliance.
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\259\ 81 FR 73616, October 25, 2016.
\260\ 81 FR 73714, October 25, 2016.
[[Page 25959]]
Table II-1--GEM Inputs for MY 2027 Vehicles Meeting the Existing MY 2027 Tractor CO2 Emission Standards
--------------------------------------------------------------------------------------------------------------------------------------------------------
Class 7 Class 8
--------------------------------------------------------------------------------------------------------------------------------------------------------
Day cab Day cab Sleeper cab
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low roof Mid roof High roof Low roof Mid roof High roof Low roof Mid roof High roof
--------------------------------------------------------------------------------------------------------------------------------------------------------
Engine Fuel Map
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027MY 11L Engine 350 HP 2027MY 11L 2027MY 11L 2027MY 15L 2027MY 15L 2027MY 15L 2027MY 15L 2027MY 15L 2027MY 15L
Engine 350 Engine 350 Engine 455 Engine 455 Engine 455 Engine 455 Engine 455 Engine 455
HP HP HP HP HP HP HP HP
--------------------------------------------------------------------------------------------------------------------------------------------------------
Aerodynamics (CA in m\2\)
--------------------------------------------------------------------------------------------------------------------------------------------------------
5.12.................................... 6.21 5.67 5.12 6.21 5.67 5.08 6.21 5.26
--------------------------------------------------------------------------------------------------------------------------------------------------------
Steer Tire Rolling Resistance (CRR in kg/metric ton)
--------------------------------------------------------------------------------------------------------------------------------------------------------
5.8..................................... 5.8 5.6 5.8 5.8 5.6 5.8 5.8 5.6
--------------------------------------------------------------------------------------------------------------------------------------------------------
Drive Tire Rolling Resistance (CRR in kg/metric ton)
--------------------------------------------------------------------------------------------------------------------------------------------------------
6.2..................................... 6.2 5.8 6.2 6.2 5.8 6.2 6.2 5.8
--------------------------------------------------------------------------------------------------------------------------------------------------------
Extended Idle Reduction Weighted Effectiveness
--------------------------------------------------------------------------------------------------------------------------------------------------------
N/A..................................... N/A N/A N/A N/A N/A 3% 3% 3%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Transmission = 10 speed Manual Transmission
Gear Ratios = 12.8, 9.25, 6.76, 4.90, 3.58, 2.61, 1.89, 1.38, 1.00, 0.73
--------------------------------------------------------------------------------------------------------------------------------------------------------
Drive Axle Ratio = 3.21 for day cabs, 3.16 for sleeper cabs
--------------------------------------------------------------------------------------------------------------------------------------------------------
6 x 2 Axle Weighted Effectiveness
--------------------------------------------------------------------------------------------------------------------------------------------------------
N/A..................................... N/A N/A 0.6% 0.6% 0.6% 0.6% 0.6% 0.6%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Transmission Type Weighted Effectiveness = 1.6%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Neutral Idle Weighted Effectiveness
--------------------------------------------------------------------------------------------------------------------------------------------------------
0.2%.................................... 0.2% 0.2% 0.2% 0.2% 0.2% 0.03% 0.03% 0.03%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Direct Drive Weighted Effectiveness = 1.0%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Transmission Efficiency Weighted Effectiveness = 0.7%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Axle Efficiency Improvement = 1.6%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Air Conditioner Efficiency Improvements = 0.3%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Accessory Improvements = 0.2%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Predictive Cruise Control = 0.8%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Automatic Tire Inflation Systems = 0.4%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Tire Pressure Monitoring System = 0.7%
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Table II-2--GEM Inputs for MY 2027 Vehicles Meeting the Existing MY 2027 Vocational Vehicle CO2 Emission Standards
--------------------------------------------------------------------------------------------------------------------------------------------------------
LHD (Class 2b-5) MHD (Class 6-7) HHD (Class 8)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Multi- Multi- Multi-
Urban purpose Regional Urban purpose Regional Urban purpose Regional
--------------------------------------------------------------------------------------------------------------------------------------------------------
SI Engine Fuel Map
-----------------------------------------
2018 MY 6.8L, 300 hp engine
--------------------------------------------------------------------------------------------------------------------------------------------------------
CI Engine Fuel Map
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027 MY 7L, 200 hp Engine 2027 MY 7L, 270 hp Engine 2027 MY 11L,
350 hp
Engine 2027 MY 11L, 350 hp Engine
and 2027 MY 15L 455hp
Engine
--------------------------------------------------------------------------------------------------------------------------------------------------------
Torque Converter Lockup in 1st Gear (adoption rate)
--------------------------------------------------------------------------------------------------------------------------------------------------------
50%..................................... 50% 50% 50% 50% 50% 30% 30% 0%
--------------------------------------------------------------------------------------------------------------------------------------------------------
6x2 Disconnect Axle (adoption rate)
--------------------------------------------------------------------------------------------------------------------------------------------------------
0%...................................... 0% 0% 0% 0% 0% 0% 25% 30%
--------------------------------------------------------------------------------------------------------------------------------------------------------
[[Page 25960]]
Table II-2--GEM Inputs for MY 2027 Vehicles Meeting the Existing MY 2027 Vocational Vehicle CO2 Emission Standards--Continued
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LHD (Class 2b-5) MHD (Class 6-7) HHD (Class 8)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Multi- Multi- Multi-
Urban purpose Regional Urban purpose Regional Urban purpose Regional
--------------------------------------------------------------------------------------------------------------------------------------------------------
Automatic Engine Shutdown (adoption rate)
--------------------------------------------------------------------------------------------------------------------------------------------------------
70%..................................... 70% 90% 70% 70% 90% 70% 70% 90%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Stop-Start (adoption rate)
--------------------------------------------------------------------------------------------------------------------------------------------------------
30%..................................... 30% 0% 30% 30% 0% 20% 20% 0%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Neutral Idle (adoption rate)
--------------------------------------------------------------------------------------------------------------------------------------------------------
60%..................................... 60% 0% 60% 60% 0% 70% 70% 0%
--------------------------------------------------------------------------------------------------------------------------------------------------------
Steer Tire Rolling Resistance (CRR kg/metric ton)
--------------------------------------------------------------------------------------------------------------------------------------------------------
6.8..................................... 6.2 6.2 6.7 6.2 6.2 6.2 6.2 6.2
--------------------------------------------------------------------------------------------------------------------------------------------------------
Drive Tire Rolling Resistance (CRR kg/metric ton)
--------------------------------------------------------------------------------------------------------------------------------------------------------
6.9..................................... 6.9 6.9 7.5 6.9 6.9 7.5 6.9 6.9
--------------------------------------------------------------------------------------------------------------------------------------------------------
Weight Reduction (lb)
--------------------------------------------------------------------------------------------------------------------------------------------------------
75...................................... 75 75 75 75 75 125 125 125
--------------------------------------------------------------------------------------------------------------------------------------------------------
Technologies exist today and continue to evolve to improve the
efficiency of the engine, transmission, drivetrain, aerodynamics, and
tire rolling resistance in HD vehicles and therefore reduce their
CO2 emissions. As discussed in the preamble to the HD GHG
Phase 2 program and shown in Table II-1 and Table II-2, there are a
variety of such technologies. In developing the Phase 2 CO2
emission standards, we developed technology packages that were premised
on technology adoption rates of less than 100 percent. There may be an
opportunity for further improvements and increased adoption through MY
2032 for many of these technologies included in the HD GHG Phase 2
technology package used to set the existing MY 2027 standards. For
example, DRIA Chapter 1.4 provides an update to tractor aerodynamic
designs developed by several of the manufacturers as part of the DOE
SuperTruck program that demonstrate aerodynamics that are better than
those used in the existing MY 2027 standards' HD GHG Phase 2 technology
package for high roof sleeper cab tractors in MYs beyond 2027.
The heavy-duty industry has also been developing hybrid
powertrains, as described in DRIA Chapter 1.4.1.1. Hybrid powertrains
consist of an ICE as well as an electric drivetrain and some designs
also incorporate plug-in capability. Hybrid powered vehicles may
provide CO2 emission reductions through the use of downsized
engines, recover energy through regenerative braking system that is
normally lost while braking, and provide additional engine-off
operation during idling and coasting. Hybrid powertrains are available
today in a number of heavy-duty vocational vehicles including passenger
van/shuttle bus, transit bus, street sweeper, refuse hauler, and
delivery truck applications. Heavy-duty hybrid vehicles may include a
power takeoff (PTO) system that is used to operate auxiliary equipment,
such as the boom/bucket on a utility truck or the water pump on a fire
truck.
Furthermore, manufacturers may develop new ICE vehicle technologies
through the MY 2032 timeframe. An example of a new technology under
development that would reduce GHG emissions from HD vehicles with ICEs
is hydrogen-fueled internal combustion engines (H2-ICE). These engines
are currently in the prototype stage of innovation \261\ for HD
vehicles, but have also been demonstrated as technically feasible in
the past in the LD fleet. H2-ICE is a technology that produces zero
hydrocarbon (HC), carbon monoxide (CO), and CO2 engine-out
emissions.
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\261\ Comment submitted by DTNA to EPA Docket, EPA-HQ-OAR-2017-
0055-1168. See Control of Air Pollution from New Motor Vehicles:
Heavy-Duty Engine and Vehicle Standards Response to Comments, EPA-
420-R-22-036 December 2022.
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H2-ICE are similar to existing internal combustion engines and
could leverage the technical expertise manufacturers have developed
with existing products. H2-ICEs use many of the same components as
existing internal combustion engines for many key systems. Similarly,
H2-ICE vehicles could be built on the same assembly lines as existing
ICE vehicles, by the same workers and with many of the same suppliers.
Though many engine components would be similar between H2-ICE and,
for example, a comparable existing diesel-fueled ICE, components such
as the cylinder head, piston and piston rings would be unique to H2-ICE
as well as intake and exhaust valves and seats to control H2 leakage
during combustion. Fuel systems would require changes to fuel injectors
and the fuel delivery system. The H2-ICE aftertreatment systems may be
simpler than today's comparable diesel-fueled ICEs. They likely would
not require the use of a diesel oxidation catalyst (DOC) or a diesel
particulate filter (DPF) system. NOX emissions are still
present in the H2-ICE exhaust and therefore a selective catalyst
reduction (SCR) system would likely still be required, though smaller
in size than an existing comparable diesel-fueled ICE aftertreatment
system. The use of lean air-fuel ratios, not exhaust gas recirculation
(EGR), would be the most effective way to control NOX in H2
combustion engines. EGR is less effective with H2 due to the absence of
CO2 in the exhaust gas. Additional information regarding H2-
ICE can be found in the DRIA Chapter 1.4.2.
One key significant difference between an existing comparable
diesel-fueled ICE and a H2-ICE is the fuel storage tanks. The hydrogen
storage tanks that would replace existing ICE fuel tanks are
significantly more expensive. The fuel tanks used by H2-ICE would be
the same as those used by
[[Page 25961]]
a FCEV and may be either compressed storage (350 or 700 Bar) or
cryogenic (storage temperatures reaching -253 degrees Celsius). Please
refer to Section II.D.3 for the discussion regarding H2 fuel storage
tanks. Furthermore, like FCEVs, H2 refueling infrastructure would be
required for H2-ICE vehicles.
We request comment on whether we should include additional GHG-
reducing technologies and/or higher levels of adoption rates of
existing technologies for ICE vehicles in our technology assessment for
the final rule.
2. HD Battery Electric Vehicle Technology
The HD BEV market has been growing significantly since MY 2018.
DRIA Chapter 1.5 includes BEV vehicle information on over 170 models
produced by over 60 manufacturers that cover a broad range of
applications, including school buses, transit buses, straight trucks,
refuse haulers, vans, tractors, utility trucks, and others, available
to the public through MY 2024.
The battery electric propulsion system includes a battery pack that
provides the energy to the motor that moves the vehicle. In this
section, and in DRIA Chapter 1.5.1 and 2.4, we discuss battery
technology that can be found in both BEVs and FCEVs. We request comment
on our assessment of heavy-duty battery designs, critical materials,
and battery manufacturing.
i. Batteries Design Parameters
Battery design involves considerations related to cost \262\ and
performance including specific energy \263\ and power, energy
density,\264\ temperature impact, durability, and safety. These
parameters typically vary based on the cathode and anode materials, and
the conductive electrolyte medium at the cell level. Different battery
chemistries have different intrinsic values. Here we provide a brief
overview of the different energy and power parameters of batteries and
battery chemistries.
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\262\ Cost, here, is associated with cost of the battery design
produced at scale instead of decrease in cost of batteries from high
volume production. This cost may be associated with using more
expensive minerals (e.g. nickel and cobalt instead of iron
phosphate). Alternatively, some battery cell components may be more
expensive for the same chemistry. For example, power battery cells
are more expensive to manufacture than energy battery cells because
these cells require thinner electrodes which are more complex to
produce.
\263\ Battery specific energy (also referred to as gravimetric
energy density) is a measure of battery energy per unit of mass.
\264\ Gravimetric energy density (specific energy) is a measure
of battery energy per unit of mass. Volumetric energy density (also
called energy density) is a measure of battery energy per unit of
volume.
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a. Battery Energy and Power Parameters
Specific energy and power and energy density are a function of how
much energy or power can be stored per unit mass (in Watt-hour per
kilogram (Wh/kg) or watt per kilogram (W/kg)) or volume (in Watt-hour
per liter (Wh/L)). Therefore, for a given battery weight or mass, the
energy (in kilowatt-hour or kWh) can be calculated. For example, a
battery with high specific energy and a lower weight may yield the same
amount of energy as a chemistry with a lower specific energy and more
weight.
Battery packs have a ``nested'' design where a group of cells are
combined to make a battery module and a group of modules are combined
to make a battery pack. Therefore, the battery systems can be described
on the pack, module, and cell levels. Design choices about the
different energy and power capacities to prioritize in a battery can
depend on its battery chemistry. Common battery chemistries today
include nickel-manganese-cobalt (NMC), nickel-cobalt-aluminum (NCA),
and iron-phosphate (LFP) based-chemistries. Nickel-based chemistries
typically have higher gravimetric and volumetric energy densities than
iron phosphate-based chemistries. Since energy or power is only housed
at the chemistry level, any additional mass such as the cell, module,
and pack casings will only add to the weight of the battery without
increasing the energy of the overall system. Therefore, some pack
producers have eliminated the module in favor of a ``cell-to-pack''
design in recent years.\265\
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\265\ BYD ``blade'' cells are an example of cell-to-pack
technology.
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External factors, especially temperature, can have a strong
influence on the performance of the battery. Heavy-duty BEVs today
include thermal management systems to keep the battery operating within
a desired temperature range, which is commonly referred to as
conditioning of the battery. Therefore, while operating a vehicle in
cold temperatures, some of the battery energy is used to heat both the
battery packs and the vehicle interior.\266\ Cold temperatures, in
particular, can result in reduced mobility of the lithium ions in the
liquid electrolyte inside the battery; for the driver, this may mean
lower range. Battery thermal management is also used during hot ambient
temperatures to keep the battery from overheating. We consider and
account for the energy required for battery thermal management in our
analysis, as discussed in Section II.D.5.ii.b.
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\266\ https://www.aaa.com/AAA/common/AAR/files/AAA-Electric-Vehicle-Range-Testing-Report.pdf.
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b. Battery Durability
Another important battery design consideration is the durability of
the battery. Durability is frequently associated with cycle life, where
cycle life is the number of times a battery can fully charge and
discharge before the battery is no longer used for its original
purpose. In 2015 the United Nations Economic Commission for Europe (UN
ECE) began studying the need for a Global Technical Regulation (GTR)
governing battery durability in light-duty vehicles. In 2021 it
finalized United Nations Global Technical Regulation No. 22, ``In-
Vehicle Battery Durability for Electrified Vehicles,'' \267\ or GTR No.
22, which provides a regulatory structure for contracting parties to
set standards for battery durability in light-duty BEVs and PHEVs.
Likewise, although not finalized, the UN ECE GTR working group began
drafting language for HD BEVs and hybrid electric vehicles. Loss of
electric range could lead to a loss of utility, meaning electric
vehicles could be driven less and therefore displace less distance
travelled than might otherwise be driven in conventional vehicles.
Furthermore, a loss in utility could also dampen purchaser sentiment.
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\267\ United Nations Economic Commission for Europe, Addendum
22: United Nations Global Technical Regulation No. 22, United
Nations Global Technical Regulation on In-vehicle Battery Durability
for Electrified Vehicles, April 14, 2022. Available at: https://unece.org/sites/default/files/2022-04/ECE_TRANS_180a22e.pdf.
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For batteries that are used in HD BEVs, the state-of-health (SOH)
is an important design factor. The environmental performance of
electrified vehicles may be affected by excess degradation of the
battery system over time. However, the durability of a battery is not
limited to the cycling of a battery, there are many phenomena that can
impact the duration of usability of a battery. As a battery goes
through charge and discharge cycles, the SOH of the battery decreases.
Capacity fade, increase in internal resistance, and voltage loss, for
example, are other common metrics to measure the SOH of a battery.
These parameters together help better understand and define the
longevity or durability of the battery. The SOH and, in turn, the cycle
life of the battery is determined by both the chemistry of the battery
as well as external factors including temperature. The rate at which
the battery is discharged as well as the rate at which it is charged
will also impact the SOH
[[Page 25962]]
of the battery. Lastly, calendar aging, or degradation of the battery
while not in use, can also contribute to the deterioration of the
battery.
There are a number of ways to improve and prolong the battery life
in a vehicle. We took considerations on maintaining the battery
temperature while driving by applying additional energy required for
conditioning the battery. Furthermore, battery size is increased by 20
percent to accommodate additional energy that may be required resulting
from loss of capacity over time.
c. HD BEV Safety Assessment
HD BEV systems must be designed to always maintain safe operation.
As with any onroad vehicle, BEVs must be robust while operating in
temperature extremes as well as rain and snow. The BEV systems must be
designed for reasonable levels of immersion, including immersion in
salt water or brackish water. BEV systems must also be designed to be
crashworthy and limit damage that compromises safety. If the structure
is compromised by a severe impact, the systems must provide first
responders with a way to safely conduct their work at an accident
scene. The HD BEV systems must be designed to ensure the safety of
users, occupants, and the general public in their vicinity.
In DRIA Chapter 1.5.4, we discuss the industry codes and standards
used by manufacturers that guide safe design and development of heavy-
duty BEVs, including those for developing battery systems and charging
systems that protect people and the equipment. These standards have
already been developed by the industry and are in place for
manufacturers to use today to develop current and future products. The
standards guide the design of BEV batteries to allow them to safely
accept and deliver power for the life of the vehicle. The standards
provide guidance to design batteries that also handle vibration,
temperature extremes, temperature cycling, water, and mechanical impact
from items such as road debris. For HD BEVs to uphold battery/
electrical safety during and after a crash, they are designed to
maintain high voltage isolation, prevent leakage of electrolyte and
volatile gases, maintain internal battery integrity, and withstand
external fire that could come from the BEV or other vehicle(s) involved
in a crash. NHTSA continues work on battery safety requirements and
extend the applicability of FMVSS No. 305 to HD vehicles and would
align with the existing Global Technical Regulation (GTR) No. 20 to
include safety requirements during normal operation, charging, and
post-crash. We request comment on our assessment that HD BEVs can be
designed to maintain safety.
ii. Assessment of Battery Materials and Production
Although the market share of light-duty and heavy-duty ZEVs in the
United States is already growing, EPA recognizes that the proposed
standards may accelerate this trend. Assessing the feasibility of
incremental penetrations of ZEVs that may result from the proposed
standards includes consideration of the readiness of the supply chain
to provide the required quantities of critical minerals, components,
and battery manufacturing capacity. This section provides a general
review of how we considered supply chain and manufacturing in this
analysis, the sources we considered, and how we used this information
in the analysis. It also provides a high-level discussion of the
security implications of increased demand for minerals and other
commodities used to manufacture ZEVs.
In developing these standards, we considered the ability for global
and domestic manufacturing and critical mineral capacity to respond to
the projected demand for ZEVs that manufacturers may choose to produce
to comply with the proposed standards. As described in this section, we
consulted with industry and government agency sources (including DOE,
U.S. Geological Survey (USGS), and several analysis firms) to collect
information on production capacity, price forecasts, global mineral
markets, and related topics, and have considered this information to
inform our assumptions about future manufacturing capabilities and
costs. We have included consideration of the influence of critical
minerals and materials availability as well as vehicle and battery
manufacturing capacities on the production of ZEVs.
We believe that the proposed rate of stringency is appropriate in
light of this assessment. It is also our assessment that increased
vehicle electrification in the United States will not lead to a
critical long term dependence on foreign imports of minerals or
components, nor that increased demand for these products will become a
vulnerability to national security. First, in many cases the reason
that these products are often sourced from outside of the United States
is not because the products cannot be produced in the U.S., but because
other countries have already invested in developing a supply chain for
their production. Moreover, the United States will likely develop a
domestic supply chain for these products because U.S. manufacturers
will need to remain competitive in a global market where
electrification is already proceeding rapidly. Second, many vehicle
manufacturers, suppliers, startups, and related industries have already
recognized the need for increased domestic production capacity as a
business opportunity, and are basing business models on building out
various aspects of the supply chain. Third, Congress and the
Administration have taken significant steps to accelerate this activity
by funding, facilitating, and otherwise promoting the rapid growth of
U.S. supply chains for these products through the Inflation Reduction
Act, the Bipartisan Infrastructure Law, and numerous Executive Branch
initiatives. EPA has confidence that these efforts are effectively
addressing supply chain concerns. Finally, utilization of critical
minerals is different from the utilization of foreign oil, in that oil
is consumed as a fuel while minerals become a constituent of
manufactured vehicles. Minerals that are imported for vehicle
production remain in the vehicle, and can be reclaimed through
recycling. Each of these points will be expanded in more detail in the
sections below.
We request comment on our assessment and data to support our
assessment of battery critical raw materials and battery production for
the final rule.
a. Battery Critical Raw Materials
Critical minerals are generally considered to include a large
diversity of products, ranging from relatively plentiful materials that
are constrained primarily by production capacity and refining, such as
aluminum, to those that are both relatively rare and costly to process,
such as the rare-earth metals that are used in magnets for permanent-
magnet synchronous motors (PMSMs) that are used as the electric motors
to power heavy-duty ZEVs and some semiconductor products. Extraction,
processing, and recycling of certain critical minerals (such as
lithium, cobalt, nickel, magnesium, graphite and rare earth metals) are
also an important part of the supply chain supporting the production of
battery components.
These minerals are also experiencing increasing demand across many
other sectors of the global economy, not just the transportation
industry, as the world seeks to reduce carbon emissions. As with any
emerging technology, a transition period must take place in which a
robust supply chain develops to support production of these products.
At the present time, they are commonly sourced from global suppliers
and do
[[Page 25963]]
not yet benefit from a fully developed domestic supply chain.\268\ As
demand for these materials increases due to increasing production of
ZEVs, current mining and processing capacity will expand.
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\268\ As mentioned in Preamble I.C.2.i and in DRIA 1.3.2.2,
there are tax credit incentives in the IRA for the production and
sale of battery cells and modules of up to $45 per kWh, which
includes up to 10 percent of the cost of producing applicable
critical materials that meet certain specifications when such
components or minerals are produced in the United States.
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The U.S. Geological Survey lists 50 minerals as ``critical to the
U.S. economy and national security.'' 269 270 The Energy Act
of 2020 defines a ``critical mineral'' as a non-fuel mineral or mineral
material essential to the economic or national security of the United
States and which has a supply chain vulnerable to disruption.\271\
Critical minerals are not necessarily short in supply, but are seen as
essential to the manufacture of products that are important to the
economy or national security. The risk to their availability may stem
from geological scarcity, geopolitics, trade policy, or similar
factors.\272\
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\269\ U.S. Geological Survey, ``U.S. Geological Survey Releases
2022 List of Critical Minerals,'' February 22, 2022. Available at:
https://www.usgs.gov/news/national-news-release/us-geological-survey-releases-2022-list-critical-minerals.
\270\ The full list includes: Aluminum, antimony, arsenic,
barite, beryllium, bismuth, cerium, cesium, chromium, cobalt,
dysprosium, erbium, europium, fluorspar, gadolinium, gallium,
germanium, graphite, hafnium, holmium, indium, iridium, lanthanum,
lithium, lutetium, magnesium, manganese, neodymium, nickel, niobium,
palladium, platinum, praseodymium, rhodium, rubidium, ruthenium,
samarium, scandium, tantalum, tellurium, terbium, thulium, tin,
titanium, tungsten, vanadium, ytterbium, yttrium, zinc, and
zirconium.
\271\ See 2021 Draft List of Critical Minerals (86 FR 62199-
62203).
\272\ International Energy Agency, ``The Role of Critical
Minerals in Clean Energy Transitions,'' World Energy Outlook Special
Report, Revised version. March 2022.
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Emission control catalysts for ICE vehicles utilize critical
minerals including cerium, palladium, platinum, and rhodium. These are
also required for hybrid vehicles due to the presence of the ICE.
Critical minerals most relevant to lithium-ion battery production
include cobalt, graphite, lithium, manganese, and nickel, which are
important constituents of electrode active materials, their presence
and relative amounts depending on the chemistry formulation. Aluminum
is also used for cathode foils and in some cell chemistries. Rare-earth
metals are used in permanent-magnet electric machines, and include
several elements such as dysprosium, neodymium, and samarium.
Some of the electrification technologies that use critical minerals
have alternatives that use other minerals or eliminate them entirely.
For these, vehicle manufacturers in some cases have some flexibility to
modify their designs to reduce or avoid use of minerals that are
difficult or expensive to procure. For example, in some ZEV battery
applications it is feasible and increasingly common to employ an iron
phosphate cathode which has lower energy density but does not require
cobalt, nickel, or manganese. Similarly, rare earths used in permanent-
magnet electric machines have potential alternatives in the form of
ferrite or other advanced magnets, or the use of induction machines or
advanced externally excited motors, which do not use permanent magnets.
This discussion therefore focuses on minerals that are most
critical for battery production, including nickel, cobalt, graphite,
and lithium.
Availability of critical minerals for use in battery production
depends on two primary considerations: production of raw minerals from
mining (or recycling) operations and refining operations that produce
purified and processed substances (precursors, electrolyte solutions,
and finished electrode powders) made from the raw minerals, that can
then be made into battery cells.
As shown in Figure II-1, in 2019 about 50 percent of global nickel
production occurred in Indonesia, Philippines, and Russia, with the
rest distributed around the world. Nearly 70 percent of cobalt
originated from the Democratic Republic of Congo, with some significant
production in Russia and Australia, and about 20 percent in the rest of
the world. More than 60 percent of graphite production occurred in
China, with significant contribution from Mozambique and Brazil for
another 20 percent. About half of lithium was mined in Australia, with
Chile accounting for another 20 percent and China about 10 percent.
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[[Page 25964]]
According to the 100-day review under E.O. on America's Supply
Chains (E.O. 14017), of the major actors in mineral refining, 60
percent of lithium refining occurred in China, with 30 percent in Chile
and 10 percent in Argentina. 72 percent of cobalt refining occurred in
China, with another 17 percent distributed among Finland, Canada, and
Norway. 21 percent of Class 1 nickel refining occurred in Russia, with
16 percent in China, 15 percent in Japan and 13 percent in Canada.\273\
Similar conclusions were reached in an analysis by the International
Energy Agency, shown in Figure II-2.
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\273\ The White House, ``Building Resilient Supply Chains,
Revitalizing American Manufacturing, and Fostering Broad-Based
Growth,'' 100-Day Reviews under Executive Order 14017, June 2021.
[GRAPHIC] [TIFF OMITTED] TP27AP23.029
Currently, the United States is lagging behind much of the rest of
the world in critical mineral production. Although the United States
has nickel reserves, and opportunity also exists to recover significant
nickel from mine waste remediation and similar activities, it is more
convenient for U.S. nickel to be imported from other countries, with 68
percent coming from Canada, Norway, Australia, and Finland, countries
with which the United States has good trade relations.\274\ According
to the USGS, ample reserves of nickel exist in the United States and
globally, potentially constrained only by processing capacity.\275\ The
United States has numerous cobalt deposits but few are developed while
some have produced cobalt only in the past; about 72 percent of U.S.
consumption is imported.\276\ Similar observations may be made about
graphite and lithium. Significant lithium deposits do exist in the
United States in Nevada and California as well as several other
locations,277 278 and are currently the target of
development by suppliers and vehicle manufacturers. U.S. deposits of
natural graphite deposits also exist but graphite has not been produced
in the United States since the 1950s and significant known resources
are largely undeveloped.\279\
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\274\ The White House, ``Building Resilient Supply Chains,
Revitalizing American Manufacturing, and Fostering Broad-Based
Growth,'' 100-Day Reviews under Executive Order 14017, June 2021.
\275\ The White House, ``Building Resilient Supply Chains,
Revitalizing American Manufacturing, and Fostering Broad-Based
Growth,'' 100-Day Reviews under Executive Order 14017, June 2021.
\276\ U.S. Geological Survey, ``Cobalt Deposits in the United
States,'' June 1, 2020. Available at https://www.usgs.gov/data/cobalt-deposits-united-states.
\277\ U.S. Geological Survey, ``Mineral Commodity Summaries
2022--Lithium'', January 2022. Available at https://pubs.usgs.gov/periodicals/mcs2022/mcs2022-lithium.pdf.
\278\ U.S. Geological Survey, ``Lithium Deposits in the United
States,'' June 1, 2020. Available at https://www.usgs.gov/data/lithium-deposits-united-states.
\279\ U.S. Geological Survey, ``USGS Updates Mineral Database
with Graphite Deposits in the United States,'' February 28, 2022.
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Although predicting mineral supply and demand into the future is
challenging, it is possible to identify general trends likely to occur
in the future. As seen in Figure II-3 and Figure II-4, preliminary
projections prepared by Li-Bridge for DOE,\280\ and presented to the
Federal Consortium for Advanced Batteries (FCAB) \281\ in November
2022, indicate that global supplies of cathode active material (CAM)
used as a part of the cathode manufacturing process and lithium
chemical product are expected to be sufficient through 2035.
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\280\ Slides 6 and 7 of presentation by Li-Bridge to Federal
Consortium for Advanced Batteries (FCAB), November 17, 2022.
\281\ U.S. Department of Energy, Vehicle Technologies Office.
``Federal Consortium for Advanced Batteries (FCAB)''. Available
online: https://www.energy.gov/eere/vehicles/federal-consortium-advanced-batteries-fcab.
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[[Page 25965]]
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The most recent information indicates that the market is responding
robustly to demand\282\ and lithium supplies are expanding as new
resources are characterized, projects continue through engineering
economic assessments, and others begin permitting or construction. For
example, in October 2022, the IEA projected that global Lithium
Carbonate Equivalent (LCE) production from operating mines and those
under construction may sufficiently meet primary demand until 2028
under the Stated Policies Scenario.\283\ In December 2022, BNEF
projected lithium mine production can meet end-use demand
[[Page 25966]]
until 2028.284 285 Notably, the BNEF data is not exhaustive
and includes only three U.S. projects: Silver Peak (phase I and II),
Rhyolite Ridge (phase I), and Carolina Lithium (phase I). Additionally,
in March 2023 DOE communicated to EPA that DOE and ANL have identified
21 additional lithium production projects in the United States in
addition to the three identified in the December 2022 BNEF data. Were
they to achieve commercial operations, the 24 U.S. projects would
produce an additional 1,000 kilotons per year LCE not accounted for in
the December BNEF analysis,\286\ and suggests that lithium supplies
would meet the BNEF Net-Zero demand projection.
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\282\ Bloomberg New Energy Finance, ``Lithium-ion Battery Pack
Prices Rise for First Time to an Average of $151/kWh,'' December 6,
2022. Accessed on December 6, 2022 at: https://about.bnef.com/blog/lithium-ion-battery-pack-prices-rise-for-first-time-to-an-average-of-151-kwh/.
\283\ International Energy Agency, ``Committed mine production
and primary demand for lithium, 2020-2030,'' October 26, 2022.
Accessed on March 9, 2023 at https://www.iea.org/data-and-statistics/charts/committed-mine-production-and-primary-demand-for-lithium-2020-2030.
\284\ Sui, Lang. Memorandum to docket EPA-HQ-OAR-2022-0985.
Based on subscription data available to BNEF subscribers at https://www.bnef.com/interactive-datasets/2d5d59acd9000031?tab=DashboardDemand&view=8472b6c7-e8cc-467f-b4a4-fe85468fba3a.
\285\ Sui, Lang. Memorandum to docket EPA-HQ-OAR-2022-0985.
Based on subscription data available to BNEF subscribers at https://www.bnef.com/interactive-datasets/2d5d7ea4a2000001.
\286\ Sui, Lang. Memorandum to docket EPA-HQ-OAR-2022-0985.
Department of Energy, communication to EPA titled ``Lithium
Supplies--additional datapoints and research,'' March 8, 2023.
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In addition, the European Union is seeking to promote rapid
development of Europe's battery supply chains by considering targeted
measures such as accelerating permitting processes and encouraging
private investment. To these ends the European Parliament proposed a
Critical Raw Materials Act on March 16, 2023, which includes these and
other measures to encourage the development of new supplies of critical
minerals not currently anticipated in market
projections.287 288 289 In DRIA 1.5.1.3 we detail these and
many other examples that demonstrate how momentum has picked up in the
lithium market since IEA's May 2022 report. For more discussion, please
see DRIA 1.5.1.3.
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\287\ European Union, ``7th High-Level Meeting of the European
Battery Alliance: main takeaways by the Chair Maro[scaron]
[Scaron]ef[ccaron]ovi[ccaron] and the Council Presidency,'' March 1,
2023. Accessed on March 9, 2023 at https://single-market-economy.ec.europa.eu/system/files/2023-03/Main%20takeaways_7th%20High-Level%20Meeting%20of%20EBA.pdf.
\288\ New York Times, ``U.S. Eyes Trade Deals With Allies to
Ease Clash Over Electric Car Subsidies,'' February 24, 2023.
\289\ European Parliament, ``Proposal for a regulation of the
European Parliament and of the Council establishing a framework for
ensuring a secure and sustainable supply of critical raw
materials,'' March 16, 2023. https://single-market-economy.ec.europa.eu/publications/european-critical-raw-materials-act_en.
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Despite recent short-term fluctuations in price, the price of
lithium is expected to stabilize at or near its historical levels by
the mid- to late-2020s.290 291 This perspective is also
supported by proprietary battery price forecasts by Wood Mackenzie that
include the predicted effect of temporarily elevated mineral
prices.\292\ This is consistent with the BNEF battery price outlook
2022 which expects battery prices to start dropping again in 2024, and
BNEF's 2022 Battery Price Survey which predicts that average pack
prices should fall below $100/kWh by 2026.\293\ Taken together these
outlooks support the perspective that lithium is not likely to
encounter a critical shortage as supply responds to meet growing
demand.
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\290\ Sun et al., ``Surging lithium price will not impede the
electric vehicle boom,'' Joule, doi:10.1016/j.joule. 2022.06.028
(https://dx.doi.org/10.1016/j.joule.2022.06.028).
\291\ Green Car Congress, ``Tsinghua researchers conclude
surging lithium price will not impede EV boom,'' July 29, 2022.
\292\ Sui, Lang. Memorandum to docket EPA-HQ-OAR-2022-0985. Wood
Mackenzie, ``Battery & raw materials--Investment horizon outlook to
2032,'' accompanying data set, September 2022 (filename: brms-data-
q3-2022.xlsx).
\293\ Bloomberg New Energy Finance, ``Lithium-ion Battery Pack
Prices Rise for First Time to an Average of $151/kWh,'' December 6,
2022. Accessed on December 6, 2022 at: https://about.bnef.com/blog/lithium-ion-battery-pack-prices-rise-for-first-time-to-an-average-of-151-kwh/.
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As described in the following section, the development of mining
and processing capacity in the United States is a primary focus of
efforts on the part of both industry and the Administration toward
building a robust domestic supply chain for electrified vehicle
production, and will be greatly facilitated by the provisions of the
BIL and the IRA as well as large private business investments that are
already underway and continuing.
b. Battery Market and Manufacturing Capacity
Battery systems can be described on the pack, module, and cell
levels. A pack typically consists of a group of modules, a module
consists of a group of cells, and cells consist of the half-cell
electrodes. Cells can be directly supplied to the manufacturer to be
assembled into modules and packs; alternatively, cell producers may
assemble cells into modules before sending the modules to another
supplier to be assembled into a pack, before then sending it to the OEM
for final assembly. While there are hundreds of reported automotive
battery cell producers, major LD automakers use batteries produced by a
handful of battery cell manufacturers. These suppliers include LG Chem,
Samsung SDI, SK Innovation, Panasonic/Tesla, Contemporary Amperex
Technology Co., Limited (CATL) and BYD. A 2021 report developed by
DOE's Argonne National Lab (ANL) found significant growth in the annual
battery supply between 2010 and 2020.\294\
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\294\ Argonne National Laboratory. ``Lithium-Ion Battery Supply
Chain for E-Drive Vehicles in the United States: 2010-2020.'' 2021.
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In both the LD and HD industry sectors, there is a meaningful
distinction between 1) battery cell suppliers, and 2) battery pack
assemblers who refer to themselves as battery producers while using
cells produced by a different cell supplier, in understanding how
impacts from the increased production volumes of cells and costs of
cells in both industries flow to these different types of suppliers.
The cost of cells occupies a significant percent of the final pack
cost, and cell costs are inversely proportional to cell production
volume.295 296 In other words, increased cell production
volume lowers the cost of battery cells, which in turn lowers the
overall pack cost. Thus, though the LD sector demand for automotive
batteries is significantly outpacing the demand for vehicle batteries
in the HD sector, the battery cell industry for both sectors will
likely be significantly influenced by the demand in the LD industry.
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\295\ Argonne National Laboratory. ``BatPaC Model Software''.
Available online: https://www.anl.gov/cse/batpac-model-software.
\296\ BloombergNEF. ``Battery Pack Prices Fall to an Average of
$132/kWh, But Rising Commodity Prices Start to Bite''. November 30,
2021. Available online: https://about.bnef.com/blog/battery-pack-prices-fall-to-an-average-of-132-kwh-but-rising-commodity-prices-start-to-bite.
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Although most global battery manufacturing capacity is currently
located outside the U.S., most of the batteries and cells present today
in the domestic EV fleet were manufactured in the United States \297\
We expect domestic manufacturing of batteries and cells to increase
considerably over the coming decade. According to the Department of
Energy, at least 13 new battery plants are expected to become
operational in the United States within the next four years.\298\ Among
these 13 new battery plants include the following activities by battery
suppliers and vehicle manufacturers. In partnership with SK Innovation,
Ford is building three large new battery plants in Kentucky and
Tennessee.\299\ General
[[Page 25967]]
Motors is partnering with LG Energy Solutions to build another three
battery cell manufacturing plants in Tennessee, Michigan, and Ohio, and
there are discussions about another plant in Indiana.\300\ LG Chem has
also announced plans for a cathode material production facility in
Tennessee, said to be sufficient to supply 1.2 million high-performance
electric vehicles per year by 2027.\301\ CATL is considering
construction of plants in Arizona, Kentucky, and South Carolina.\302\
In addition, CATL is partnering with Daimler Truck to expand their
global partnership to producm ion batteries for their all electric long
haul heavy duty trucks starting 2024 to 2030.\303\ Panasonic, already
partnering with Tesla for its factories in Texas and Nevada, is
planning two new factories in Oklahoma and Kansas.\304\ Furthermore,
Tesla is also planning a $3.6 billion expansion to their Nevada
Gigafactory to mass produce all electric semi trucks.\305\ Toyota plans
to be operational with a plant in Greensboro, North Carolina in 2025,
and Volkswagen in Chattanooga, Tennessee at about the same
time.306 307 According to S&P Global, announcements such as
these could result in a U.S. manufacturing capacity of 382 GWh by
2025,\308\ and 580 GWh by 2027,\309\ up from roughly 60 GWh
310 311 today. More recently, the Department of Energy
estimates that recent plant announcements for North America to date
could enable an estimated 838 GWh of capacity by 2025, 896 GWh by 2027,
and 998 GWh by 2030, the vast majority of which is cell manufacturing
capacity.\312\
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\297\ Argonne National Laboratory, ``Lithium-Ion Battery Supply
Chain for E-Drive Vehicles in the United States: 2010-2020,'' ANL/
ESD-21/3, March 2021.
\298\ Department of Energy, Fact of the Week #1217, ``Thirteen
New Electric Vehicle Battery Plants Are Planned in the U.S. Within
the Next Five Years,'' December 20, 2021.
\299\ Dunn, Jason. ``Ford to build battery and assembly plants
in Kentucky and Tennessee for massive acceleration of EV output''.
Autonomive Logistics. September 28, 2021. Available online: https://www.automotivelogistics.media/battery-supply-chain/ford-to-build-battery-and-assembly-plants-in-kentucky-and-tennessee-for-massive-acceleration-of-ev-output/42325.article#.
\300\ Shepardson, David. ``GM, LG Energy drop plan for fourth
U.S. JV battery plant''. Reuters. January 20, 2023. Available
online: https://www.reuters.com/technology/gm-lg-energy-drop-plan-fourth-us-jv-battery-plant-2023-01-20/.
\301\ LG Chem, ``LG Chem to Establish Largest Cathode Plant in
US for EV Batteries,'' Press Release, November 22, 2022.
\302\ Randall, Chris. ``CATL likely to build US battery plant in
Kentucky or South Carolina''. Electrive. May 6, 2022. Available
online: https://www.electrive.com/2022/05/06/catl-likely-to-build-us-battery-plant-in-kentucky-or-south-carolina/.
\303\ Kane, Mark. ``Daimler and CATL Expand Global Battery
Partnership''. InsideEVs. May 23, 2022. Available online: https://insideevs.com/news/509050/daimler-catl-global-battery-partnership/.
\304\ Alvarez, Simon. ``Tesla partner Panasonic looking at
potential EV battery plant in Oklahoma: report''. TeslaRati. August
26, 2022. Available online: https://www.teslarati.com/tesla-panasonic-plans-new-ev-battery-factory-usa/.
\305\ CNBC, ``Tesla plans to spend $3.6 billion more on battery
and truck manufacturing in Nevada,'' January 24, 2023. Accessed on
March 21, 2023 at https://www.cnbc.com/2023/01/24/tesla-plans-to-spend-3point6-billion-more-on-manufacturing-in-nevada.html.
\306\ Toyota. ``Toyota Announces $2.5 Billion Expansion of North
Carolina Plant with 350 Additional Jobs and BEV Battery Capacity''.
August 31, 2022. Available online: https://pressroom.toyota.com/toyota-announces-2-5-billion-expansion-of-north-carolina-plant-with-350-additional-jobs-and-bev-battery-capacity/.
\307\ Doll, Scooter. ``Volkswagen reportedly considering a
second US production site plus new battery cell plant''. Available
online: https://electrek.co/2022/04/29/volkswagen-reportedly-considering-a-second-us-production-site-plus-new-battery-cell-plant/
.
\308\ S&P Global Market Intelligence, ``US ready for a battery
factory boom, but now it needs to hold the charge,'' October 3,
2022. Accessed on November 22, 2022 at https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/us-ready-for-a-battery-factory-boom-but-now-it-needs-to-hold-the-charge-72262329.
\309\ S&P Global Mobility, ``Growth of Li-ion battery
manufacturing capacity in key EV markets,'' May 20, 2022. Accessed
on November 22, 2022 at https://www.spglobal.com/mobility/en/research-analysis/growth-of-liion-battery-manufacturing-capacity.html.
\310\ Federal Consortium for Advanced Batteries, ``National
Blueprint for Lithium Batteries 2021-2030,'' June 2021. Available at
https://www.energy.gov/sites/default/files/2021-06/FCAB%20National%20Blueprint%20Lithium%20Batteries%200621_0.pdf.
\311\ S&P Global Mobility, ``Growth of Li-ion battery
manufacturing capacity in key EV markets,'' May 20, 2022. Accessed
on November 22, 2022 at https://www.spglobal.com/mobility/en/research-analysis/growth-of-liion-battery-manufacturing-capacity.html.
\312\ Argonne National Laboratory, ``Assessment of Light-Duty
Plug-in Electric Vehicles in the United States, 2010-2021,'' ANL-22/
71, November 2022.
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The expected HD battery capacity demand based on this proposed rule
would be 17 GWh in MY 2027 and grow to 36 GWh by MY 2032 (as described
in DRIA 2.8.3.1), which is well below the expected manufacturing
capacity for this time frame. It should be noted that the projected
U.S. HD battery demand would be only a fraction of total U.S. battery
demand. In comparison, we project in the Light- and Medium-Duty
Multipollutant Emissions Standards Proposed Rule that the annual
battery production required for the light-duty fleet would be slightly
less than 900 GWh in MY 2030, and stabilize at around 1,000 GWh per
year for MY 2031 and beyond.\313\ Therefore, between the two proposed
highway motor vehicle rules, the U.S. market could require 940 GWh of
battery capacity by 2030 and 1050 GWh of battery capacity by 2032. DOE
estimates plant announcements of ~1,000 GWh by 2030; furthermore, the
battery market is an international market where IEA projects 3.7
terrawatt hours (TWh) of battery globally by 2030 in their
``Sustainable Development Scenario'' \314\
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\313\ The Light- and Medium-Duty Multipollutant Emissions
Standards proposed rule, titled ``Multi-Pollutant Emissions
Standards for Model Years 2027 and Later Light-Duty and Medium-Duty
Vehicles,'' was signed by the Administrator on the same day as this
proposal. Available at https://www.epa.gov/regulations-emissions-vehicles-and-engines/proposed-rule-multi-pollutant-emissions-standards-model.
\314\ IEA, ``Annual EV battery demand projections by region and
scenario, 2020-2030'', October 26, 2022. Available at https://www.iea.org/data-and-statistics/charts/annual-ev-battery-demand-projections-by-region-and-scenario-2020-2030.
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In addition, the IRA and the BIL are providing significant support
to accelerate these efforts to build out a U.S. supply chain for
mineral, cell, and battery production. The IRA offers sizeable
incentives and other support for further development of domestic and
North American manufacture of these components. According to the
Congressional Budget Office, an estimated $30.6 billion will be
realized by manufacturers through the Advanced Manufacturing Production
Credit, which includes a tax credit to manufacturers for battery
production in the United States. According to one third-party estimate
based on information from Benchmark Mineral Intelligence, the recent
increase in U.S. battery manufacturing plant announcements could
increase this figure to $136 billion or more.\315\ Another $6.2 billion
or more may be realized through expansion of the Advanced Energy
Project Credit, a 30 percent tax credit for investments in projects
that reequip, expand, or establish certain energy manufacturing
facilities.\316\ Together, these provisions create a strong motivation
for manufacturers to support the continued development of a North
American supply chain and already appear to be proving influential on
the plans of manufacturers to procure domestic or North American
mineral and component sources and to construct domestic manufacturing
facilities to claim the benefits of the act.317 318
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\315\ Axois.com, ``Axios What's Next,'' February 1, 2023.
Accessed on March 1, 2023 at https://www.axios.com/newsletters/axios-whats-next-1185bdcc-1b58-4a12-9f15-8ffc8e63b11e.html?chunk=0&utm_term=emshare#story0.
\316\ Congressional Research Service, ``Tax Provisions in the
Inflation Reduction Act of 2022 (H.R. 5376),'' August 10, 2022.
\317\ Subramanian, P., ``Why Honda's EV battery plant likely
wouldn't happen without new climate credits,'' Yahoo Finance, August
29, 2022.
\318\ LG Chem, ``LG Chem to Establish Largest Cathode Plant in
US for EV Batteries,'' Press Release, November 22, 2022.
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In addition, the BIL provides $7.9 billion to support development
of the domestic supply chain for battery manufacturing, recycling, and
critical minerals.\319\ Notably, it supports the
[[Page 25968]]
development and implementation of a $675 million Critical Materials
Research, Development, Demonstration, and Commercialization Program
administered by the Department of Energy (DOE),\320\ and has created
numerous other programs in related areas, such as for example, critical
minerals data collection by the USGS.\321\ Provisions extend across
several areas including critical minerals mining and recycling
research, USGS energy and minerals research, rare earth elements
extraction and separation research and demonstration, and expansion of
DOE loan programs in critical minerals and zero-carbon
technologies.322 323 The Department of Energy is working to
facilitate and support further development of the supply chain, by
identifying weaknesses for prioritization and rapidly funding those
areas through numerous programs and funding
opportunities.324 325 326 According to a final report from
the Department of Energy's Li-Bridge alliance,\327\ ``the U.S. industry
can double its value-added share by 2030 (capturing an additional $17
billion in direct value-add annually and 40,000 jobs in 2030 from
mining to cell manufacturing), dramatically increase U.S. national and
economic security, and position itself on the path to a near-circular
economy by 2050.'' \328\ The $7.9 billion provided by the BIL for U.S.
battery supply chain projects \329\ represents a total of about $14
billion when industry cost matching is considered.330 331
Other recently announced projects will utilize another $40 billion in
private funding.\332\ According to DOE's Li-Bridge alliance, the total
of these commitments already represents more than half of the capital
investment that Li-Bridge considers necessary for supply chain
investment to 2030.\333\
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\319\ Congressional Research Service, ``Energy and Minerals
Provisions in the Infrastructure Investment and Jobs Act (Pub. L.
117-58)'', February 16, 2022. https://crsreports.congress.gov/product/pdf/R/R47034.
\320\ Department of Energy, ``DOE Seeks Public Input on Critical
Materials Research Program to Strengthen Clean Energy Technology
Manufacturing in America,'' August 9, 2022. Available at https://www.energy.gov/articles/biden-harris-administration-launches-675-million-bipartisan-infrastructure-law-program.
\321\ U.S. Geological Survey, ``Bipartisan Infrastructure Law
supports critical-minerals research in central Great Plains,''
October 26, 2022. Available at https://www.usgs.gov/news/state-news-release/bipartisan-infrastructure-law-supports-critical-minerals-research-central.
\322\ Congressional Research Service, ``Energy and Minerals
Provisions in the Infrastructure Investment and Jobs Act (Pub. L.
117-58)'', February 16, 2022. https://crsreports.congress.gov/product/pdf/R/R47034.
\323\ International Energy Agency, ``Infrastructure and Jobs
act: Critical Minerals,'' October 26, 2022. https://www.iea.org/policies/14995-infrastructure-and-jobs-act-critical-minerals.
\324\ Department of Energy, Li-Bridge, ``Building a Robust and
Resilient U.S. Lithium Battery Supply Chain,'' February 2023.
\325\ The White House, ``Building Resilient Supply Chains,
Revitalizing American Manufacturing, and Fostering Broad-Based
Growth,'' 100-Day Reviews under Executive Order 14017, June 2021.
\326\ Federal Consortium for Advanced Batteries, ``National
Blueprint for Lithium Batteries 2021-2030,'' June 2021. Available at
https://www.energy.gov/sites/default/files/2021-06/FCAB%20National%20Blueprint%20Lithium%20Batteries%200621_0.pdf.
\327\ Argonne National Laboratory. ``Li-Bridge''. Available
online: https://www.anl.gov/li-bridge.
\328\ Department of Energy, Li-Bridge, '' Building a Robust and
Resilient U.S. Lithium Battery Supply Chain,'' February 2023.
\329\ Congressional Research Service, ``Energy and Minerals
Provisions in the Infrastructure Investment and Jobs Act (Pub. L.
117-58)'', February 16, 2022. https://crsreports.congress.gov/product/pdf/R/R47034.
\330\ Department of Energy, Li-Bridge, ``Building a Robust and
Resilient U.S. Lithium Battery Supply Chain,'' February 2023 (p. 9).
\331\ Department of Energy, EERE Funding Opportunity Exchange,
EERE Funding Opportunity Announcements. Accessed March 4, 2023 at
https://eere-exchange.energy.gov/Default.aspx#FoaId0596def9-c1cc-478d-aa4f-14b472864eba.
\332\ Federal Reserve Bank of Dallas, ``Automakers' bold plans
for electric vehicles spur U.S. battery boom,'' October 11, 2022.
Accessed on March 4, 2023 at https://www.dallasfed.org/research/economics/2022/1011.
\333\ Department of Energy, Li-Bridge, ``Building a Robust and
Resilient U.S. Lithium Battery Supply Chain,'' February 2023 (p. 9).
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Further, the DOE Loan Programs Office is administering a major
loans program focusing on extraction, processing and recycling of
lithium and other critical minerals that will support continued market
growth,\334\ through the Advanced Technology Vehicles Manufacturing
(ATVM) Loan Program and Title 17 Innovative Energy Loan Guarantee
Program. This program includes over $20 billion of available loans and
loan guarantees to finance critical materials projects.
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\334\ Department of Energy Loan Programs Office, ``Critical
Materials Loans & Loan Guarantees,'' https://www.energy.gov/sites/default/files/2021-06/DOE-LPO_Program_Handout_Critical_Materials_June2021_0.pdf.
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c. Mineral Security
As stated at the beginning of this Section II.D, it is our
assessment that increased electrification in the U.S. transportation
sector does not constitute a vulnerability to national security, for
several reasons supported by the discussion in this preamble and in
DRIA 1.5.1.2.
A domestic supply chain for battery and cell manufacturing is
rapidly forming by the actions of stakeholders including vehicle
manufacturers and suppliers who wish to take advantage of the business
opportunities that this need presents, and by vehicle manufacturers who
recognize the need to remain competitive in a global market that is
shifting to electrification. It is therefore already a goal of the U.S.
manufacturing industry to create a robust supply chain for these
products, in order to supply not only the domestic vehicle market, but
also all of the other applications for these products in global markets
as the world decarbonizes.
Further, the IRA and BIL are proving to be a highly effective means
by which Congress and the Administration have provided support for the
building of a robust supply chain, and to accelerate this activity to
ensure that it forms as rapidly as possible. An example is the work of
Li Bridge, a public-private alliance committed to accelerating the
development of a robust and secure domestic supply chain for lithium-
based batteries. It has set forth a goal that by 2030 the United States
should capture 60 percent of the economic value associated with the
U.S. domestic demand for lithium batteries. Achieving this target would
double the economic value expected in the United States under
``business as usual'' growth.\335\ More evidence of recent growth in
the supply chain is found in a February 2023 report by Pacific
Northwest National Laboratory (PNNL), which documents robust growth in
the North American lithium battery industry.\336\
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\335\ Department of Energy, Li-Bridge, ``Building a Robust and
Resilient U.S. Lithium Battery Supply Chain,'' February 2023.
\336\ Pacific Northwest National Laboratory, ``North American
Lithium Battery Materials V 1.2,'' February 2023. Available at
https://www.pnnl.gov/projects/north-american-lithium-battery-materials-industry-report.
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Finally, it is important to note that utilization of critical
minerals is different from the utilization of foreign oil, in that oil
is consumed as a fuel while minerals become a constituent of
manufactured vehicles. That is, mineral security is not a perfect
analogy to energy security. Supply disruptions and fluctuating prices
are relevant to critical minerals as well, but the impacts of such
disruptions are felt differently and by different parties. Disruptions
in oil supply or gasoline price has an immediate impact on consumers
through higher fuel prices, and thus constrains the ability to travel.
In contrast, supply disruptions or price fluctuations of minerals
affect only the production and price of new vehicles. In practice,
short-term price fluctuations do not always translate to higher
production cost as most manufacturers purchase minerals via long-term
contracts that insulate them to a degree from changes in spot prices.
Moreover, critical minerals are not a single
[[Page 25969]]
commodity but a number of distinct commodities, each having its own
supply and demand dynamics, and some being capable of substitution by
other minerals.\337\ Importantly, while oil is consumed as a fuel and
thus requires continuous supply, minerals become part of the vehicle
and have the potential to be recovered and recycled. Thus even when
minerals are imported from other countries, their acquisition adds to
the domestic mineral stock that is available for domestic recycling in
the future.
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\337\ For example, manganese can be subsituted by aluminum in
the case of nickel-manganese-cobalt (NMC) and nickel-cobalt-aluminum
(NCA) batteries. Likewise, a LFP battery uses iron phophaste
chemistry without nickel, manganese, cobalt or aluminum. Research
has also been conducted to study the replacement of lithium with
sodium ions.
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Over the long term, battery recycling will be a critical component
of the BEV supply chain and will contribute to mineral security and
sustainability, effectively acting as a domestically produced mineral
source that reduces overall reliance on foreign-sourced products. While
the number of end-of-life BEV batteries available for recycling will
lag the market penetration of BEVs, it is important to consider the
projected growth in development of a battery recycling supply chain
during the time frame of the rule and beyond.
By 2050, battery recycling could be capable of meeting 25 to 50
percent of total lithium demand for battery
production.338 339 To this end, battery recycling is avery
active area of research. The Department of Energy coordinates much
research in this area through the ReCell Center, described as ``a
national collaboration of industry, academia and national laboratories
working together to advance recycling technologies along the entire
battery life-cycle for current and future battery chemistries.'' \340\
Funding is also being disbursed as directed by the BIL, as discussed in
Chapter 1.3.2 of the DRIA.\341\ A growing number of private companies
are entering the battery recycling market as the rate of recyclable
material becoming available from battery production facilities and
salvaged vehicles has grown, and manufacturers are already reaching
agreements to use these recycled materials for domestic battery
manufacturing. For example, Panasonic has contracted with Redwood
Materials Inc. to supply domestically processed cathode material, much
of which will be sourced from recycled batteries.\342\
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\338\ Sun et al., ``Surging lithium price will not impede the
electric vehicle boom,'' Joule, doi:10.1016/j.joule. 2022.06.028
(https://dx.doi.org/10.1016/j.joule.2022.06.028).
\339\ Ziemann et al., ``Modeling the potential impact of lithium
recycling from EV batteries on lithium demand: a dynamic MFA
approach,'' Resour. Conserv. Recycl. 133, pp. 76-85. https://doi.org/10.1016/j.resconrec.2018.01.031.
\340\ ReCell Advanced Battery Remanufacturing. https://recellcenter.org/about/.
\341\ Department of Energy, ``Biden-Harris Administration
Announces Nearly $74 Million To Advance Domestic Battery Recycling
And Reuse, Strengthen Nation's Battery Supply Chain,'' Press
Release, November 16, 2022.
\342\ Randall, T., ``The Battery Supply Chain Is Finally Coming
to America,'' Bloomberg, November 15, 2022.
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Recycling infrastructure is one of the targets of several
provisions of the BIL. It includes a Battery Processing and
Manufacturing program, which grants significant funds to promote U.S.
processing and manufacturing of batteries for automotive and electric
grid use, by awarding grants for demonstration projects, new
construction, retooling and retrofitting, and facility expansion. It
will provide a total of $3 billion for battery material processing, $3
billion for battery manufacturing and recycling, $10 million for a
lithium-ion battery recycling prize competition, $60 million for
research and development activities in battery recycling, an additional
$50 million for state and local programs, and $15 million to develop a
collection system for used batteries. In addition, the Electric Drive
Vehicle Battery Recycling and Second-Life Application Program will
provide $200 million in funds for research, development, and
demonstration of battery recycling and second-life applications.\343\
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\343\ Environmental Defense Fund and ERM, ``Electric Vehicle
Market Update: Manufacturer Commitments and Public Policy
Initiatives Supporting Electric Mobility in the U.S. and
Worldwide,'' September 2022.
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The efforts to fund and build a mid-chain processing supply chain
for active materials and related products will also be important to
reclaiming minerals through domestic recycling. While domestic
recycling can recover minerals and other materials needed for battery
cell production, they commonly are recovered in elemental forms that
require further midstream processing into precursor substances and
active material powders that can be used in cell production. The DOE
ReCell Center coordinates extensive research on development of a
domestic lithium-ion recycling supply chain, including direct
recycling, in which materials can be recycled for direct use in cell
production without destroying their chemical structure, and advanced
resource recovery which uses chemical conversion to recover raw
minerals for processing into new constituents.\344\
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\344\ Department of Energy, ``The ReCell Center for Advanced
Battery Recycling FY22 Q4 Report,'' October 20, 2022. Available at:
https://recellcenter.org/2022/12/15/recell-advanced-battery-recycling-center-fourth-quarter-progress-report-2022/.
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Currently, pilot-scale battery recycling research projects and
private recycling startups have access to only limited amounts of
recycling stock that originate from sources such as manufacturer waste,
crashed vehicles, and occasional manufacturer recall/repair events. As
ZEVs are currently only a small portion of the U.S. vehicle stock, some
time will pass before vehicle scrappage can provide a steady supply of
end-of-life batteries to support large-scale battery recycling. During
this time, we expect that the midchain processing portion of the supply
chain will continue to develop and will be able to capture much of the
resources made available by the recycling of used batteries coming in
from the fleet.\345\
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\345\ Department of Energy, ``Biden-Harris Administration
Announces Nearly $74 Million To Advance Domestic Battery Recycling
and Reuse, Strengthen Nation's Battery Supply Chain,'' Press
Release, November 16, 2022.
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3. HD Fuel Cell Electric Vehicle Technology
Fuel cell technologies that run on hydrogen have been in existence
for decades, though they are just starting to enter the heavy-duty
transportation market. Hydrogen FCEVs are similar to BEVs in that they
have batteries and use an electric motor instead of an internal
combustion engine to power the wheels. Unlike BEVs that need to be
plugged in to recharge, FCEVs have fuel cell stacks that use a chemical
reaction involving hydrogen to generate electricity. Fuel cells with
electric motors are two-to-three times more efficient than ICEs that
run on gasoline or diesel, requiring less energy to fuel.\346\
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\346\ U.S. Department of Energy, Vehicle Technologies Office.
``Hydrogen Basics''. Alternative Fuels Data Center. Available
online: https://afdc.energy.gov/fuels/hydrogen_basics.html.
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Hydrogen FCEVs do not emit air pollution at the tailpipe--only heat
and pure water.\347\ With current and near-future technologies, energy
can be stored more densely onboard a vehicle as gaseous or liquid
hydrogen than it can as electrons in a battery. This allows FCEVs to
perform periods of service between fueling events that batteries
currently cannot achieve without affecting vehicle weight and limiting
payload capacity. Thus, fuel cells are of interest for their potential
use in heavy-duty sectors that are difficult to electrify
[[Page 25970]]
using batteries due to range or weight limitations.
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\347\ U.S. Department of Energy, Fuel Cell Technologies Office.
``Fuel Cells''. November 2015. Available online: https://www.energy.gov/sites/prod/files/2015/11/f27/fcto_fuel_cells_fact_sheet.pdf.
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In the following sections, and in DRIA Chapter 1.7, we discuss key
technology components unique to HD FCEVs. We request comment on our
assessment and data to support our assessment of FCEV technology for
the final rule.
i. Fuel Cell Stack
A fuel cell system is composed of a fuel cell stack and ``balance
of plant'' (BOP) components that support the fuel cell stack (e.g.,
pumps, sensors, compressors, humidifiers). A fuel cell stack is a
module that may contain hundreds of fuel cell units, typically combined
in series.\348\ A heavy-duty FCEV may have several fuel cell stacks to
meet the power needs of a comparable ICE vehicle.
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\348\ U.S. Department of Energy, Hydrogen and Fuel Cell
Technologies Office. ``Fuel Cell Systems''. Available online:
https://www.energy.gov/eere/fuelcells/fuel-cell-systems.
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Though there are many types of fuel cell technologies, polymer
electrolyte membrane (PEM) fuel cells are typically used in
transportation applications because they offer high power density,
therefore have low weight and volume, and can operate at relatively low
temperatures.\349\ PEM fuel cells are built using membrane electrode
assemblies (MEA) and supportive hardware. The MEA includes the PEM
electrolyte material, catalyst layers (anode and cathode), and gas
diffusion layers.\350\ Hydrogen fuel and oxygen enter the MEA and
chemically react to generate electricity, which is either used to
propel the vehicle or is stored in a battery to meet future power
needs. The process creates excess water vapor and heat.
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\349\ U.S. Department of Energy, Hydrogen and Fuel Cell
Technologies Office. ``Types of Fuel Cells''. Available online:
https://www.energy.gov/eere/fuelcells/types-fuel-cells.
\350\ U.S. Department of Energy, Hydrogen and Fuel Cell
Technologies Office. ``Parts of a Fuel Cell''. Available online:
https://www.energy.gov/eere/fuelcells/parts-fuel-cell.
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Key BOP components include the air supply system that provides
oxygen, the hydrogen supply system, and the thermal management system.
With the help of compressors and sensors, these components monitor and
regulate the pressure and flow of the gases supplied to the fuel cell
along with relative humidity and temperature. Similar to ICEs and
batteries, PEM fuel cells require thermal management systems to control
the operating temperatures. It is necessary to control operating
temperatures to maintain stack voltage and the efficiency and
performance of the system. There are different strategies to mitigate
excess heat that comes from operating a fuel cell. For example, a HD
vehicle may include a cooling system the circulates cooling fluid
through the stack.\351\ Waste heat recovery solutions are also
emerging.\352\ The excess heat also can be in turn used to heat the
cabin, similar to ICE vehicles. Power consumed to operate BOP
components can also impact the stack's
efficiency.353 354 355
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\351\ Hyfindr. ``Fuel Cell Stack''. Available online: https://hyfindr.com/fuel-cell-stack/.
\352\ Baroutaji, Ahmad, et al. ``Advancements and prospects of
thermal management and waste heat recovery of PEMFC''. Interational
Journal of Thermofluids: 9. February 2021. Available online: https://www.sciencedirect.com/science/article/pii/S2666202721000021.
\353\ Hoeflinger, Johannes and Peter Hofmann. ``Air mass flow
and pressure optimization of a PEM fuel cell range extender
system''. International Journal of Hydrogen Energy. Volume 45:53.
October 02020. Available online: https://www.sciencedirect.com/science/article/pii/S0360319920327841.
\354\ Pardhi, Shantanu, et al. ``A Review of Fuel Cell
Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen,
Energy and Thermal Management Systems''. Energies. December 2022.
Available online: https://www.mdpi.com/1996-1073/15/24/9557.
\355\ Hyfindr. ``Fuel Cell Stack''. Available online: https://hyfindr.com/fuel-cell-stack/.
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To improve fuel cell performance, the air and hydrogen fuel that
enter the system may be compressed, humidified, and/or filtered.\356\ A
fuel cell operates best when the air and the hydrogen are free of
contaminants, since contaminants can poison and damage the catalyst.
PEM fuel cells require hydrogen that is over 99 percent pure, which can
add to the fuel production cost.\357\ Hydrogen produced from natural
gas tends to initially have more impurities (e.g., carbon monoxide and
ammonia, associated with the reforming of hydrocarbons) than hydrogen
produced from water through electrolysis.\358\ There are standards such
as ISO 14687 that include hydrogen fuel quality specifications for use
in vehicles to minimize impurities.\359\
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\356\ U.S .Environmental Protection Agency. ``Assessment of Fuel
Cell Technologies at Ports''. Prepared for EPA by Eastern Research
Group, Inc. July 2022. Available online: https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P1015AQX.pdf.
\357\ US Drive. ``Hydrogen Production Tech Team Roadmap''.
November 2017. Available online: https://www.energy.gov/eere/vehicles/articles/us-drive-hydrogen-production-technical-team-roadmap.
\358\ Nhuyen, Huu Linh, et al. ``Review of the Durability of
Polymer Electrolyte Membrane Fuel Cell in Long-Term Operation: Main
Influencing Parameters and Testing Protocols''. Energies. July 2021.
Available online: https://www.mdpi.com/1996-1073/14/13/4048.
\359\ International Organization for Standardization. ``ISO
14687: 2019, Hydrogen fuel quality--Product specification''.
November 2019. Available online: https://www.iso.org/standard/69539.html.
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Fuel cell durability is important in heavy-duty applications, given
that vehicle owners and operators often have high expectations for
drivetrain lifetimes in terms of years, hours, and miles. Fuel cells
can be designed to meet durability needs, or the ability of the stack
to maintain its performance over time. Considerations must be included
in the design to accommodate operations in less-than-optimized
conditions. For example, prolonged operation at high voltage (low
power) or when there are multiple transitions between high and low
voltage can stress the system. As a fuel cell system ages, a fuel
cell's MEA materials can degrade, and performance and maximum power
output can decline. The fuel cell can become less efficient, which can
cause it to generate more excess heat and consume more fuel.\360\ DOE's
ultimate long-term technology target for Class 8 HD trucks is a fuel
cell lifetime of 30,000 hours, corresponding to an expected vehicle
lifetime of 1.2 million miles.\361\ A voltage degradation of 10 percent
at rated power (i.e., the power level the cell is designed for) by end-
of-life is considered by DOE when evaluating targets.\362\
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\360\ Nhuyen, Huu Linh, et al. ``Review of the Durability of
Polymer Electrolyte Membrane Fuel Cell in Long-Term Operation: Main
Influencing Parameters and Testing Protocols''. Energies. July 2021.
Available online: https://www.mdpi.com/1996-1073/14/13/4048.
\361\ Marcinkoski, Jason et al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\362\ Marcinkoski, Jason et al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
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Currently, the fuel cell stack is the most expensive component of a
heavy-duty FCEV, primarily due to the technological requirements of
manufacturing rather than raw material costs.\363\ Larger production
volumes are anticipated as global demand increases for fuel cell
systems for HD vehicles, which could improve economies of scale.\364\
Costs are also anticipated to decline as durability improves, which
could extend the life of fuel cells and reduce the need for parts
replacement.\365\ Fuel cells contain PEM catalysts that typically are
made using precious metals from the platinum
[[Page 25971]]
group, which are expensive but efficient and can withstand conditions
in a cell. With today's technology, roughly 50 grams of platinum may be
required for a 160-kW fuel cell in a vehicle.\366\ Platinum group
metals are classified as critical minerals in the DOE Critical Minerals
and Materials Strategy.\367\ Efforts are underway to minimize or
eliminate the use of platinum in catalysts.\368\
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\363\ Deloitte China. ``Fueling the Future of Mobility: Hydrogen
and fuel cell solutions for transportation, Volume 1''. 2020.
Available online: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/finance/deloitte-cn-fueling-the-future-of-mobility-en-200101.pdf.
\364\ Ibid.
\365\ Ibid.
\366\ James, Brian D., et al. ``Fuel Cell Truck System Cost
Analysis''. Strategic Analysis Inc. July 2018. Available online:
https://www.energy.gov/sites/prod/files/2018/08/f54/fcto-truck-workshop-2018-10-james.pdf.
\367\ U.S. Department of Energy, Advanced Manufacturing &
Industrial Decarbonization Office. ``Critical Minerals &
Materials''. Available online: https://www.energy.gov/eere/amo/critical-minerals-materials.
\368\ Berkeley Lab. ``Strategies for Reducing Platinum Waste in
Fuel Cells. November 2021. Available online: https://als.lbl.gov/strategies-for-reducing-platinum-waste-in-fuel-cells/.
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ii. Fuel Cell and Battery Interaction
The instantaneous power required to move a FCEV can come from
either the fuel cell stack, the battery, or a combination of both.
Interactions between the fuel cell stacks and batteries of a FCEV can
be complex and may vary based on application. Each manufacturer likely
would employ a unique strategy to optimize the durability of these
components and manage costs. The strategy selected would impact the
size of the fuel cell stack and the size of the battery.
The fuel cell stack can be used to charge the battery that in turn
powers the wheels (i.e., series hybrid or range-extending), or it can
work with the battery to provide power (i.e., parallel hybrid or
primary power) to the wheels. In the emerging HD FCEV market, when used
to extend range, the fuel cell tends to have a lower peak power
potential and may be sized to match the average power needed during a
typical use cycle, including steady highway driving. At idle, the fuel
cell may run at minimal power or turn off based on state of charge of
the battery. The battery is used during prolonged high-power operations
such as grade climbing and is typically in charge-sustaining mode,
which means the average state of charge is maintained above a certain
level while driving. When providing primary power, the fuel cell tends
to have a larger peak power potential, sized to match all power needs
of a typical duty cycle and to meet instantaneous power needs. The
battery is mainly used to capture energy from regenerative braking and
to help with acceleration and other transient power demands.\369\
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\369\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22/6. October 2022. See Full report. Available
online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
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Based on how the fuel cell stacks and batteries are managed,
manufacturers may use different types of batteries in HD FCEVs. Energy
battery cells are typically used to store energy for applications with
distance needs, so may be used more with range-extending fuel cells in
vehicles with a relatively large battery. Power battery cells are
typically used to provide additional high power for applications with
high power needs in primary power fuel cell-dominant vehicles.\370\
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\370\ Sharpe, Ben and Hussein Basma. ``A Meta-Study of Purchase
Costs for Zero-Emission Trucks''. The International Council on Clean
Transportation. February 2022. Available online: https://theicct.org/publication/purchase-cost-ze-trucks-feb22/.
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iii. Onboard Hydrogen Storage Tanks
Fuel cell vehicles carry hydrogen fuel onboard using large tanks.
Hydrogen has extremely low density, so it must be compressed or
liquified for use. There are various techniques for storing hydrogen
onboard a vehicle, depending on how much fuel is needed to meet range
requirements. Most transportation applications today use Type IV
tanks,\371\ which typically include a plastic liner wrapped with a
composite material such as carbon fiber that can withstand high
pressures with minimal weight.372 373 High-strength carbon
fiber is expensive, accounting for over 50 percent of the cost of
onboard storage at production volumes of over 100,000 tanks per
year.\374\
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\371\ Type I-III tanks are not typically used in transportation
for reasons related to low hydrogen density, metal embrittlement,
weight, or cost.
\372\ Langmi, Henrietta et. al. ``Hydrogen storage''.
Electrochemical Power Sources: Fundamentals, Systems, and
Applications. 2022. Portion available online: https://www.sciencedirect.com/topics/engineering/compressed-hydrogen-storage.
\373\ U.S. Department of Energy, Fuel Cell Technologies Office.
``Hydrogen Storage''. March 2017. Available online: https://www.energy.gov/sites/prod/files/2017/03/f34/fcto-h2-storage-fact-sheet.pdf.
\374\ Houchins, Cassidy and Brian D. James. ``2019 DOE Hydrogen
and Fuel Cell Program Review: Hydrogen Storage Cost Analysis''.
Strategic Analysis. May 2019. Available online: https://www.hydrogen.energy.gov/pdfs/review19/st100_james_2019_o.pdf.
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Some existing fuel cell buses use compressed hydrogen gas at 350
bars (~5,000 pounds per square inch, or psi) of pressure, but other
applications are using tanks with increased compressed hydrogen gas
pressure at 700 bar (~10,000 psi) for extended driving range.\375\ A
Heavy-Duty Vehicle Industry Group was formed in 2019 to standardize 700
bar high-flow fueling hardware components globally that meet fueling
speed requirements (i.e., so that fill times are similar to comparable
HD ICE vehicles, as identified in DOE technical targets for Class 8
long-haul tractor-trailers).\376\ High-flow refueling rates for heavy-
duty vehicles of 60-80 kg hydrogen in under 10 minutes were recently
demonstrated in a DOE lab setting.377 378 379
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\375\ Basma, Hussein and Felipe Rodriquez. ``Fuel cell electric
tractor-trailers: Technology overview and fuel economy''. Working
Paper 2022-23. The International Council on Clean Transportation.
July 2022. Available online: https://theicct.org/wp-content/uploads/2022/07/fuel-cell-tractor-trailer-tech-fuel-jul22.pdf.
\376\ NextEnergy. ``Hydrogen Heavy Duty Vehicle Industry
Group''. Available online: https://nextenergy.org/hydrogen-heavy-duty-vehicle-industry-group/.
\377\ DOE suggests that 60 kg of H2 will be required to achieve
a 750-mile range in a Class 8 tractor-trailer truck, assuming a fuel
economy of 12.4 miles per kilogram. In the DOE lab, one fill (61.5
kg) was demonstrated from the fueling station into seven type-IV
tanks of a HD vehicle simulator, and the second fill (75.9 kg) was
demonstrated from the station into nine tanks.
\378\ Marcinkoski, Jason et. al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\379\ Martineau, Rebecca. ``Fast Flow Future for Heavy-Duty
Hydrogen Trucks: Expanded Capabilities at NREL Demonstration High-
Flow-Rate Hydrogen Fueling for Heavy-Duty Applications''. National
Renewable Energy Lab. June 2022. Available online: https://www.nrel.gov/news/program/2022/fast-flow-future-heavy-duty-hydrogen-trucks.html.
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Based on our review of the literature, we believe that most HD
vehicles likely have sufficient physical space to package hydrogen
storage tanks onboard.\380\ Geometry and packing challenges may
constrain the amount of gaseous hydrogen that can be stored onboard
and, thus, the maximum range of trucks that travel longer distances
without a stop for fuel.\381\ Liquid hydrogen is emerging as a cost-
effective onboard storage option for long-haul operations; however, the
technology readiness of liquid storage and refueling technologies is
relatively low compared to compressed gas technologies.\382\
[[Page 25972]]
Nonetheless, companies like Daimler and Hyzon are pursuing onboard
liquid hydrogen to minimize potential payload impacts and maintain the
flexibility to drive up to 1,000 miles between refueling, comparable to
today's diesel ICE vehicle refueling ranges.383 384
Therefore given our assessment of technology readiness, liquid storage
tanks were not included as part of the technology packages that support
the feasibility and appropriateness of our proposed standards. We
request comment and data related to packaging space availability
associated with FCEVs and projections for the development and
application of liquid hydrogen in the HD transportation sector over the
next decade.
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\380\ Kast, James et. al. ``Designing hydrogen fuel cell
electric trucks in a diverse medium and heavy duty market''.
Research in Transportation Economics: Volume 70. October 2018.
Available online: https://www.sciencedirect.com/science/article/pii/S0739885916301639.
\381\ Basma, Hussein and Felipe Rodriquez. ``Fuel cell electric
tractor-trailers: Technology overview and fuel economy''. Working
Paper 2022-23. The International Council on Clean Transportation.
July 2022. Available online: https://theicct.org/wp-content/uploads/2022/07/fuel-cell-tractor-trailer-tech-fuel-jul22.pdf.
\382\ Basma, Hussein and Felipe Rodriquez. ``Fuel cell electric
tractor-trailers: Technology overview and fuel economy''. Working
Paper 2022-23. The International Council on Clean Transportation.
July 2022. Available online: https://theicct.org/wp-content/uploads/2022/07/fuel-cell-tractor-trailer-tech-fuel-jul22.pdf.
\383\ Daimler Truck. ``Development milestone: Daimler Truck
tests fuel-cell truck with liquid hydrogen''. June 2022. Available
online: https://media.daimlertruck.com/marsMediaSite/en/instance/ko/Development-milestone-Daimler-Truck-tests-fuel-cell-truck-with-liquid-hydrogen.xhtml?oid=51975637.
\384\ Hyzon. ``Hyzon Motors, Chart Industries to Develop Liquid
Hydrogen Fuel Cell-Powered Truck, Targeting 1000-Mile Range''. July
2021. Available online: https://www.hyzonmotors.com/in-the-news/hyzon-motors-chart-industries-to-develop-liquid-hydrogen-fuel-cell-powered-truck-targeting-1000-mile-range.
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iv. HD FCEV Safety Assessment
FCEVs have two potential risk factors that can be mitigated through
proper design, process, and training: hydrogen and electricity.
Electricity risks are identical to those of BEVs and, thus, are
discussed in Section II.D.2 and DRIA Chapter 1.5.2. Hydrogen risks can
occur throughout the process of fueling a vehicle. FCEVs must be
designed such that hydrogen can safely be delivered to a vehicle and
then transferred into a vehicle's onboard storage tanks and fuel cell
stacks. Hydrogen has been handled, used, stored, and moved in
industrial settings for more than 50 years, and there are many
established methods for doing so safely.\385\ There is also federal
oversight and regulation throughout the hydrogen supply chain
system.\386\ Safety training and education are key for maintaining
reasonable risk while handling and using hydrogen. For example,
hydrogen-related fuel cell vehicle risks can be mitigated by following
various SAE and OSHA standards, as discussed in DRIA Chapter 1.7.4. We
request comment on our assessment that HD FCEVs can be designed to
maintain safety.
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\385\ Hydrogen Tools. ``Best Practices Overview''. Pacific
Northwest National Laboratory. Available online: https://h2tools.org/bestpractices/best-practices-overview.
\386\ Baird, Austin R. et. al. ``Federal Oversight of Hydrogen
Systems''. Sandia National Laboratories. March 2021. Available
online: https://energy.sandia.gov/wp-content/uploads/2021/03/H2-Regulatory-Map-Report_SAND2021-2955.pdf.
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4. Summary of Technology Assessment
In prior HD GHG rulemakings, EPA promulgated standards that could
feasibly be met through technological improvements in many areas of the
vehicle. For example, the HD GHG Phase 2 CO2 emission
standards were premised on technologies such as engine waste heat
recovery, advanced aerodynamics (like those developed for DOE's
SuperTruck programs), and, in some cases, hybrid powertrains. We
evaluated each technology's effectiveness as demonstrated over the
regulatory duty cycles using EPA's GEM and estimated the appropriate
adoption rate of each technology.\387\ We then developed a technology
package for each of the regulatory subcategories. We are following a
similar approach in this Phase 3 NPRM.
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\387\ GEM is an EPA vehicle simulation tool used to certify HD
vehicles. A detailed description of GEM can be found in the RIA for
the HD GHG Phase 2 rulemaking, available at https://nepis.epa.gov/Exe/ZyPDF.cgi/P100P7NS.PDF?Dockey=P100P7NS.PDF.
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In the HD GHG Phase 2 final rule, we included ZEV technologies in
our assessment of the suite of technologies for HD vocational vehicles
and tractors. However, in 2016, when the HD GHG Phase 2 rule was being
developed, we stated that ``adoption rates for these advanced
technologies in heavy-duty vehicles are essentially non-existent today
and seem unlikely to grow significantly within the next decade without
additional incentives.'' \388\ Thus, at that time, instead of including
ZEV technologies in the technology packages for setting the Phase 2
standards, we provided advanced technology credit multipliers to help
incentivize the development of ZEV technologies.
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\388\ 81 FR 73498 (October 25, 2016).
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Since the 2016 promulgation of the HD GHG Phase 2 final rule, as
discussed in Section I.C, a number of important factors have
contributed to changes in the HD landscape. Therefore, as detailed in
this Section II and DRIA Chapter 2, we now are proposing that BEV
technologies and FCEV technologies will be technically feasible for HD
vehicles and suitable for most applications, as assessed by vehicle
type and each Phase 3 MY. As further detailed in this Section II and
DRIA Chapter 2, we are also proposing that BEV and FCEV technologies
are feasible at the adoption rates included in the technology packages,
which vary depending on the respective vehicle type and Phase 3 MY, and
thus that the proposed revised standards for MY 2027 and proposed new
standards for MYs 2028 through 2032 are feasible and appropriate.
Similar to Phase 1 and Phase 2, the technology packages used to support
the standards in this proposal include a mix of technologies applied to
HD vehicles, and development of those technology packages included an
assessment of the projected feasibility of the development and
application of BEV, FCEV, and other technologies that reduce GHG
emissions from HD vehicles. While our analysis in this Section II.D
focuses on certain technologies in the technology packages to
demonstrate the feasibility of the proposed HD vehicle GHG emission
standards, there are other technologies as described in DRIA Chapter 1
that can reduce CO2 emissions. Under the proposed rule, manufacturers
may choose to produce the technologies that work best for their
business case and the operator's needs in meeting the proposed
standards, as the proposed standards are performance-based and do not
mandate any specific technology for any manufacturer or any vehicle
subcategory.
EPA developed a bottom-up approach to estimate the operational
characteristics and costs of ZEV technologies for this proposal. This
approach takes into consideration concerns received on the HD2027 NPRM
concerning the proposed revised MY 2027 GHG vehicle standards' analysis
presented in the HD2027 NPRM. We developed a new technology assessment
tool, Heavy-Duty Technology Resource Use Case Scenario (HD TRUCS), to
evaluate the design features needed to meet the power and energy
demands of various HD vehicles when using ZEV technologies, as well as
costs related to manufacturing, purchasing and operating ICE and ZEV
technologies. HD TRUCS is described in more detail in Section II.D.5
and DRIA Chapter 2 but we briefly summarize the approach here.
To build technology packages using HD TRUCS, we created 101
representative HD vehicles that cover the full range of weight classes
within the scope of this rulemaking (Class 2b through 8 vocational
vehicles and tractors). The representative vehicles cover many aspects
of work performed by the industry. This work was translated into energy
and power demands per vehicle type based on everyday use of HD
vehicles, ranging from moving goods and people to mixing cement. We
then identified the technical properties required for a BEV
[[Page 25973]]
or FCEV to meet the operational needs of a comparable ICE HD
vehicle.\389\
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\389\ Heavy-duty vehicles are typically powered by a diesel-
fueled compression-ignition (CI) engine, though the heavy-duty
market includes vehicles powered by gasoline-fueled spark-ignition
(SI) engines and alternative-fueled ICEs. We selected diesel-powered
ICE vehicles as the baseline vehicle for the assessment in HD TRUCS
in our analysis because a diesel-fueled CI engine is broadly
available for all of the 101 vehicle types.
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Since batteries can add weight and volume to a vehicle,\390\ we
evaluated battery mass and physical volume required to package a
battery pack. If the performance needs of a BEV resulted in a battery
that was too large or heavy, then we did not consider the BEV for that
application in our technology package because of, for example, the
impact on payload and, thus, potential work accomplished relative to a
comparable ICE vehicle.\391\
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\390\ Smith, David et. al. ``Medium- and Heavy-Duty Vehicle
Electrification: An Assessment of Technology and Knowledge Gaps''.
U.S. Department of Energy: Oak Ridge National Laboratory and
National Renewable Energy Laboratory. December 2019. Available
online: https://info.ornl.gov/sites/publications/Files/Pub136575.pdf.
\391\ This does not necessarily mean that a BEV with a large
battery weight and volume would not be technically feasible for a
given HD vehicle use, but rather this is an acknowledgement that we
considered impacts of increased battery size on feasibility
considerations like payload capacity as well as cost and payback
within the selection of HD vehicle technologies for the technology
packages.
---------------------------------------------------------------------------
To evaluate costs, including costs of compliance for manufacturers
as well as user costs related to purchasing and operating ZEVs, we
sized vehicle components that are unique to ZEVs to meet the work
demands of each representative vehicle. We applied cost estimates to
each vehicle component based on sizing to assess the difference in
total powertrain costs between the ICE and ZEV powertrains. We
accounted for the IRA battery tax credit and vehicle tax credit, as
discussed in Section II.E.4. We also compared operating costs due to
fuel consumption as well as vehicle maintenance and repair, and we
included the cost to procure and install depot charging infrastructure
for BEVs. For FCEVs, similar to ICE vehicles' infrastructure and fuel
costs, we assumed hydrogen infrastructure costs were embedded in the
cost of hydrogen fuel.
We relied on research and findings discussed in DRIA Chapters 1 and
2 to conduct this analysis. For MYs 2027 through 2029, we focused
primarily on BEV technology. Consistent with our analysis, research
shows that BEV technologies can become cost-competitive in terms of
total cost of ownership for many HD vehicles by the late 2020s, but it
would take longer for FCEVs.392 393 394 Given that there are
more BEV models available today compared to FCEV models (see, e.g.,
DRIA Chapters 1.7.5 and 1.7.6), we inferred that BEV adoption is likely
to happen sooner than the adoption of FCEV technology.
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\392\ Ledna et. al. ``Decarbonizing Medium- & Heavy-Duty On-Road
Vehicles: Zero-Emission Vehicles Cost Analysis''. U.S. Department of
Energy, National Renewable Energy Laboratory. March 2022. Available
online: https://www.nrel.gov/docs/fy22osti/82081.pdf.
\393\ Hall, Dale and Nic Lutsey. ``Estimating the Infrastructure
Needs and Costs for the Launch of Zero-Emission Trucks''. White
Paper: The International Council on Clean Transportation. August
2019. Available online: https://theicct.org/wp-content/uploads/2021/06/ICCT_EV_HDVs_Infrastructure_20190809.pdf.
\394\ Robo, Ellen and Dave Seamonds. Technical Memo to
Environmental Defense Fund: Investment Reduction Act Supplemental
Assessment: Analysis of Alternative Medium- and Heavy-Duty Zero-
Emission Vehicle Business-As-Usual Scenarios. ERM. August 19, 2022.
Available online: https://www.erm.com/contentassets/154d08e0d0674752925cd82c66b3e2b1/edf-zev-baseline-technical-memo-addendum.pdf.
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Starting in MY 2030, we also considered FCEV technology for select
applications. BEV technology is more energy efficient than FCEV
technology but may not be suitable for all applications, such as when
the performance needs result in additional battery mass that affects
payload. FCEVs are more energy efficient than diesel vehicles and can
have shorter refueling times than BEVs with large
batteries.395 396 We considered FCEVs in the technology
packages for applications that travel longer distances and/or carry
heavier loads (i.e., for those that may be sensitive to refueling times
or payload impacts). This included coach buses, heavy-haul tractors,
sleeper cab tractors, and day cab tractors.
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\395\ A technology is more energy efficient if it uses less
energy to do the same amount of work. Energy can be lost as it moves
through the vehicle's components due to heat and friction.
\396\ Cunanan, Carlo et. al. ``A Review of Heavy-Duty Vehicle
Powertrain Technologies: Diesel Engine Vehicles, Battery Electric
Vehicles, and Hydrogen Fuel Cell Electric Vehicles''. Clean Technol.
Available online: https://www.mdpi.com/2571-8797/3/2/28.
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Though fuel cell technology is still emerging in HD vehicle
applications, FCEVs are a viable ZEV technology for heavy-duty
transportation 397 398 399 and will be available in the 2030
timeframe (see DRIA Chapter 1.7.5).400 401 402 403 Inclusion
of FCEVs in the technology packages starting in MY 2030 takes into
consideration additional lead time to allow manufacturers to design,
develop, and manufacture HD FCEV models. Fuel cell technology in other
sectors has been in existence for decades \404\ and has been
demonstrated to be technically feasible in heavy-duty
transportation.\405\ Interim research and development (R&D) technical
targets and projects (see DRIA Chapter 1.7.7) are in place to
facilitate necessary improvements in the performance, durability, and
costs of hydrogen-fueled long-haul HD tractors in 2030.\406\ With
substantial federal investment in low-GHG hydrogen production (see DRIA
Chapter 1.3.2), we project that the price of hydrogen fuel will drop
enough by 2030 to make HD FCEVs cost-competitive with comparable ICE
vehicles for some duty cycles. Hydrogen infrastructure is expected to
need the additional time prior to MY 2030 to further develop, as
discussed in greater detail in DRIA Chapter 1.8,407 408 but
we expect the
[[Page 25974]]
refueling needs can be met by MY 2030.\409\ We also recognize that
regulations, like this proposed rule, can further incentivize
technology and refueling infrastructure development and deployment.
Therefore, we included FCEVs in our technology assessment beginning in
MY 2030, which is our best projection after considering the IRA
incentives related to hydrogen as a transportation fuel and FCEVs,
DOE's hydrogen assessments, and other information discussed here in
Section II and in DRIA Chapter 1.
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\397\ Mihelic, Rick et. al. ``Making Sense of Heavy-Duty
Hydrogen Fuel Cell Tractors''. North American Council for Freight
Efficiency. December 16, 2020. Available online: https://nacfe.org/research/electric-trucks/making-sense-of-heavy-duty-hydrogen-fuel-cell-tractors/.
\398\ Cunanan, Carlo et. al. ``A Review of Heavy-Duty Vehicle
Powertrain Technologies: Diesel Engine Vehicles, Battery Electric
Vehicles, and Hydrogen Fuel Cell Electric Vehicles''. Clean Technol.
Available online: https://www.mdpi.com/2571-8797/3/2/28.
\399\ Cullen et. al. ``New roads and challenges for fuel cells
in heavy-duty transportation.'' Nature Energy. March 25, 2021.
Available online: https://www.nature.com/articles/s41560-021-00775-z.
\400\ For example, California's Advanced Clean Fleets Regulation
requires that 10 percent of sleeper cab tractors and specialty
vehicles must be zero-emission by 2030. We note that although our
technology package consider FCEVs for specific HD applications, a
diverse range of technologies may be used to comply with the
proposed performance-based standards.
\401\ California Air Resources Board. ``Advanced Clean Fleets
Regulation Summary''. October 27, 2022. Available online: https://ww2.arb.ca.gov/resources/fact-sheets/advanced-clean-fleets-regulation-summary (ACF 2030 goals).
\402\ Adler, Alan. ``Hyundai's Xcient positioned for instant US
fuel cell truck leadership''. FreightWaves. November 29, 2022.
Available online: https://www.freightwaves.com/news/hyundais-xcient-positioned-for-instant-us-fuel-cell-truck-leadership.
\403\ GNA. ``State of Sustainable Fleet: 2022 Market Brief--Fuel
Cell Electric Miniguide''. 2022. Available online: https://www.stateofsustainablefleets.com/.
\404\ U.S. Energy Information Administration. ``Hydrogen
explained: Use of hydrogen''. Last updated January 20, 2022.
Available online: https://www.eia.gov/energyexplained/hydrogen/use-of-hydrogen.php.
\405\ Toyota. ``Toyota, Kenworth Prove Fuel Cell Electric Truck
Capabilities with Successful Completion of Truck Operations for
ZANZEFF Project''. September 22, 2022. Available online: https://pressroom.toyota.com/toyota-kenworth-prove-fuel-cell-electric-truck-capabilities-with-successful-completion-of-truck-operations-for-zanzeff-project/.
\406\ Marcinkoski, Jason et. al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\407\ U.S. Department of Energy. ``Pathways to Commercial
Liftoff: Clean Hydrogen''. March 2023. Available online: https://liftoff.energy.gov/wp-content/uploads/2023/03/20230320-Liftoff-Clean-H2-vPUB.pdf.
\408\ The proposed rule projects that hydrogen consumption from
FCEVs will be a small proportion of total low-GHG hydrogen
production expected in 2030: from 1.3% in 2030 to 8.3% in 2032.
\409\ U.S. Department of Energy. ``DOE National Clean Hydrogen
Strategy and Roadmap''. Draft September 2022. Available online:
https://www.hydrogen.energy.gov/pdfs/clean-hydrogen-strategy-roadmap.pdf.
---------------------------------------------------------------------------
After considering operational characteristics and costs in 2021
dollars, we determined the payback period, which is the number of years
it would take to offset any incremental cost increase of a ZEV over a
comparable ICE vehicle. Lastly, technology adoption rates for BEVs or
FCEVs for the technology packages were selected based on the payback
period. We request comment on this approach and any supporting data on
the potential for these and additional technologies to be available in
the HD market in the MY 2027 through MY 2032 timeframe.
5. EPA's HD TRUCS Analysis Tool
For this proposal, EPA developed an analysis tool, HD TRUCS, to
evaluate the design features needed to meet the energy and power
demands of various HD vehicle types when using ZEV technologies. The
overarching design and functionality of HD TRUCS is premised on
ensuring each of the 101 ZEV types could perform the same work as its
ICE counterpart. We did this by sizing the BEV and FCEV components such
that they could meet the driving demands based on the 90th percentile
daily VMT for each application, while also accounting for the HVAC and
battery thermal conditioning load requirements in hot and cold weather
and any PTO demands for the vehicle. Furthermore, we accounted for the
fact that the usable battery capacity is less than 100 percent and that
batteries deteriorate over time. We also sized the ZEV powertrains to
ensure that the vehicles would meet an acceptable level of acceleration
from a stop and be able to maintain a cruise speed while going up a
hill at six-percent grade. In this subsection, we discuss the primary
inputs used in HD TRUCS. Additional details on HD TRUCS can be found in
DRIA Chapter 2. We welcome comment on all aspects of HD TRUCS.
i. Vehicles Analyzed
We developed inputs for 101 different vehicle types for our
assessment in HD TRUCS. This encompasses 22 different applications in
the HD vehicle market, as shown in Table II-3. These vehicles
applications are further differentiated by weight class, duty cycle,
and daily vehicle miles traveled (VMT) for each of these vehicle
applications into 101 vehicle types. These 101 vehicle types cover all
33 of the heavy-duty regulatory subcategories, as shown in DRIA Chapter
2.8.3.1. The initial list of HD TRUCS vehicles contained 87 vehicle
types and was based on work the Truck and Engine Manufacturers
Association (EMA) and California Air Resources Board (CARB) conducted
for CARB's ACT rule.\410\ We consolidated the list; eliminated some of
the more unique vehicles with small populations like mobile
laboratories; and assigned operational characteristics that correspond
to the Urban, Multi-Purpose, and Regional duty cycles used in GEM. We
also added additional vehicle types to reflect vehicle applications
that were represented in EPA's certification data. Chapter 2.1 of the
DRIA summarizes the 101 unique vehicle types represented in HD TRUCS
and how they are categorized, each with a vehicle identifier, vehicle
application, vehicle weight class, MOtor Vehicle Emission Simulator
(MOVES) SourceTypeID and RegClassID,\411\ and GEM duty cycle category.
We request comment on our approach, including our categorization of
vehicle types and applications in the data, and whether there are
additional specific vehicle types we should include in our assessment.
---------------------------------------------------------------------------
\410\ California Air Resources Board, Appendix E: Zero Emission
Truck Market Assessment (2019), available at https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/appe.pdf (last
accessed on Sept. 26, 2022).
\411\ MOVES homepage: https://www.epa.gov/moves (last accessed
October 2022).
Table II-3--HD Vehicle Applications Included in HD TRUCS
------------------------------------------------------------------------
-------------------------------------------------------------------------
Ambulance.
Box Truck.
Cement Mixer.
Coach Bus.
Dump Truck.
Fire Truck.
Flatbed/Stake Truck.
Port Drayage Tracto.
Refuse Truck.
RV.
School Bus.
Shuttle bus.
Snow Plow.
Step Van.
Street Sweeper.
Tanker Truck.
Tow Truck.
Tractor, Day Cab.
Tractor, Sleeper Cab.
Transit Bus.
Utility Truck.
Yard Tractor.
------------------------------------------------------------------------
Heavy-duty vehicles are typically powered by a diesel-fueled
compression-ignition (CI) engine, though the heavy-duty market also
includes vehicles powered by gasoline-fueled spark-ignition (SI)
engines and alternative-fueled ICE. We selected diesel-powered ICE
vehicles as the baseline vehicle for the assessment in HD TRUCS in our
analysis because a diesel-fueled CI engine is broadly available for all
of the 101 vehicle types and are more efficient than SI engines.
Chapter 2.2 of the DRIA includes the details we developed for each of
the baseline vehicles, including the size of the engine and the
transmission type. This information was used to determine the weight
and the cost of the ICE powertrains.
In the analysis, for MYs 2027 through 2029, we focused primarily on
BEV technology. Starting in MY 2030, we also considered FCEV technology
for select applications that travel longer distances and/or carry
heavier loads. This included coach buses, heavy-haul tractors, sleeper
cab tractors, and day cab tractors that are designed to travel longer
distances. We request comment on our approach that focuses primarily on
BEVs, which currently are more prevalent in the HD vehicle market, and
whether there are additional vehicle types that should be evaluated as
FCEVs along with BEVs.
ii. Vehicle Energy Demand
Vehicles require energy to perform the work required of the
vehicle. This work includes driving, idling, and providing heating and
cooling; in addition, some vehicles require energy to operate
equipment. Vehicles with regenerative braking systems have the
opportunity to recover some of the kinetic energy that would otherwise
be lost during braking. There are a wide variety of energy demands
across the heavy-duty sector, depending on the vehicle's application.
For example, some vehicles, such as long-haul tractors, spend the vast
[[Page 25975]]
majority of the time driving, a fraction of the time idling, and
require heating and cooling of the cabin, but do not require operation
of additional equipment. A transit bus typically operates at low
speeds, so it requires less energy for driving than a long-haul
tractor, but requires more energy for heating or cooling due to its
large amount of interior cabin volume. Unlike ICE vehicles where the
cabin heating is often provided by excess heat from the main ICE, BEVs
do not have excess heat from an ICE to utilize in this manner and thus
require more energy than ICE vehicles to heat the cabin and additional
energy to manage the temperature of the batteries. As another example
of the wide variety of energy demands for HD vehicles, a utility truck,
also known as a bucket truck, may only drive a few miles to a worksite
while idling for the majority of the day and using energy to move the
bucket up and down. The power to run the separate equipment on ICE
vehicles is typically provided by a PTO from the main engine. In HD
TRUCS, we determined the daily energy demand for each of the 101
vehicle types by estimating both the baseline energy demands that are
similar regardless of the powertrain configuration and the energy
demands that vary by powertrain. The baseline energy includes energy at
the axle to move the vehicle, energy recovered from regenerative
braking energy, and PTO energy. Powertrain-specific energy includes
energy required to condition the battery and heat or cool the cabin
using a heating, ventilation, and air conditioning (HVAC) system. We
discuss each of these in the following subsections.
a. Baseline Energy
The amount of energy needed at the axle to move the vehicle down
the road is determined by a combination of the type of drive cycle
(such as urban or freeway driving) and the number of miles traveled
over a period of time. For each HD TRUCS vehicle type, we determined
the baseline energy consumption requirement that would be needed for
each of the ZEV applications. To do this, we used the drive cycles and
cycle weightings adopted for HD GHG Phase 2 for our assessment of the
energy required per mile for each vehicle type. EPA's GEM model
simulates road load power requirements for various duty cycles to
estimate the energy required per mile for HD vehicles. To understand
the existing heavy-duty industry, we performed an analysis on current
heavy-duty vehicles in the market in order to determine typical power
requirements and rates of energy consumption at the axle. These values
represent the energy required to propel a vehicle of a given weight,
frontal area, and tire rolling resistance to complete the specified
duty cycle on a per-mile basis, independent of the powertrain. In DRIA
Chapter 2.2.2, we describe the GEM inputs and results used to estimate
the propulsion energy and power requirements at the axle for ICE
vehicles on a per-mile basis. We also used these inputs, along with
some simple electric vehicle assumptions, to develop a model for
electric vehicles to calculate weighted percent of energy recovery due
to regenerative braking. Additional detail can be found in DRIA Chapter
2.2.2.1.3. We request comment on our approach, including other data we
should consider in our assessment of energy consumption.
Some vocational vehicles have attachments that perform work,
typically by powering a hydraulic pump, which are powered by PTOs.
Information on in-use PTO energy demand cycles is limited. NREL
published two papers describing investigative work into PTO usage and
fuel consumption.412 413 These studies, however, were
limited to electric utility vehicles, such as bucket trucks and
material handlers. To account for PTO usage in HD TRUCS, we chose to
rely on a table described in California's Diesel Tax Fuel Regulations,
specifically in Regulation 1432, ``Other Nontaxable Uses of Diesel Fuel
in a Motor Vehicle,'' \414\ that covers a wider range of vehicles
beyond the electric utility vehicles in the referenced NREL studies.
This table contains ``safe-harbor'' percentages that are presumed
amounts of diesel fuel used for ``auxiliary equipment'' operated from
the same fuel tank as the motor vehicle. We used this source to
estimate PTO energy use as a function of total fuel consumed by vehicle
type, as discussed in DRIA Chapter 2.2.2.1.4. We request additional
data that could be considered in our assessment of PTO loads in our
final rulemaking assessment.
---------------------------------------------------------------------------
\412\ NREL, Characterization of PTO and Idle Behavior for
Utility Vehicles, Sept 2017. Available online: https://www.nrel.gov/docs/fy17osti/66747.pdf.
\413\ NREL, Fuel and Emissions Reduction in Electric Power Take-
Off Equipped Utility Vehicles, June 2016. Available online: https://www.nrel.gov/docs/fy17osti/66737.pdf.
\414\ See Cal. Code Regs. tit. 18, Sec. 1432, ``Other
Nontaxable Uses of Diesel Fuel in a Motor Vehicle,'' available at
https://www.cdtfa.ca.gov/lawguides/vol3/dftr/dftr-reg1432.html.
---------------------------------------------------------------------------
Within HD TRUCS, we calculated the total energy needed daily based
on a daily VMT for each vehicle type. We used multiple sources to
develop the VMT for each vehicle. Daily VMT for each vehicle came from
one of five Sources: the NREL FleetDNA database, a University of
California-Riverside (UCR) database, the 2002 Vehicle Inventory and Use
Survey (VIUS), the CARB Large Entity Report, or an independent source
specific to an application, as discussed in DRIA Chapter 2.2.1.2.\415\
Each vehicle type was assigned a 50th percentile or average daily VMT
\416\ that was used to estimate operational costs, such as average
annual fuel, hydrogen, or electricity costs, and maintenance and repair
costs (see DRIA Chapters 2.3.4, 2.4.4, and 2.5.3). We also account for
the change in use of the vehicle over the course of its ownership and
operation in HD TRUCS by applying a MOVES-based VMT ratio based on
vehicle age to the 50th percentile VMT to arrive at a 10 year average
VMT, as described in more detail in DRIA Chapter 2.2.1.2.2. We also
developed a 90th percentile daily VMT and used it in HD TRUCS to size
ZEV components, such as batteries, and estimate the size requirements
for EVSE. We selected the 90th percentile daily VMT data because we
project that manufacturers will design their BEVs to meet most daily
VMT needs, but not the most extreme operations. BEVs designed for all
daily VMT needs would be unnecessarily heavy and expensive for most
operations, which would limit their appeal in the broad market. Please
see DRIA Chapter 2.2.1.2 for the complete list of VMT for each of the
101 vehicle types. We request comment, including comment with data, on
our VMT assessments.
---------------------------------------------------------------------------
\415\ NREL and EPA. Heavy-Duty Vehicle Activity for EPA MOVES.
Available at https://data.nrel.gov/submissions/168, last accessed on
October 15, 2022, which includes an assessment of both the NREL and
UC-Riverside databases; U.S. Census Bureau. 2002 Vehicle Inventory
and Use Survey. https://www.census.gov/library/publications/2002/econ/census/vehicle-inventory-and-use-survey.html, last accessed on
October 15, 2022. CARB. Large Entity Reporting. Available at https://ww2.arb.ca.gov/our-work/programs/advanced-clean-trucks/large-entity-reporting.
\416\ We used the 50th percentile as a proxy for average VMT
from the NREL FleetDNA database and the UC-Riverside database. The
NREL and UC-Riverside databases each contained a selection of
vehicles that we used to calculate 50th and 90th percentile daily
VMT. When each database had a VMT value, the values were averaged to
get VMT for a specific market segment. See DRIA Chapter 2.2.1.2 for
further details.
---------------------------------------------------------------------------
b. Powertrain-Specific Energy
Heating, ventilation, and air conditioning (HVAC) requirements vary
by vehicle type, location, and duty cycle. The HVAC energy required to
heat and cool interior cabins is considered separately from the
baseline energy in HD TRUCS, since these energy loads are not required
year-round or in
[[Page 25976]]
all regions of the country. Nearly all commercial vehicles are equipped
with heat and basic ventilation and most vehicles are equipped with air
conditioning (A/C). In ICE vehicles, traditional cabin heating uses
excess thermal energy produced by the main ICE. This is the only source
of cabin heating for many vehicle types. Additionally, on ICE vehicles,
cabin A/C uses a mechanical refrigerant compressor that is engine belt-
driven.
For BEVs, the energy required for thermal management is different
than for ICE vehicles. First, the loads for HVAC are different because
the vehicle is not able to be heated from excess heat from the engine.
In this analysis, we project HD BEVs would be equipped with either a
positive temperature coefficient (PTC) electric resistance heater with
traditional A/C, or a full heat pump system, as described in DRIA
Chapter 1. The vehicle's battery is used to power either system, but
heat pumps are many times more efficient than PTC heaters. Given the
success and increasing adoption of heat pumps in light-duty EVs, we
believe that heat pumps will be the more commonly used technology and
thus assume the use of heat pumps in HD TRUCS.
To estimate HVAC energy consumption of BEVs in HD TRUCS, we
performed a literature and market review. Even though there are limited
real-world studies, we agreed with the HVAC modeling-based approach
described in Basma et. al.\417\ This physics-based cabin thermal model
considers four vehicle characteristics: the cabin interior, walls,
materials, and number of passengers. The authors modeled a Class 8
electric transit bus with an HVAC system consisting of two 20-kW
reversible heat pumps, an air circulation system, and a battery thermal
management system. We used their estimated HVAC power demand values as
a function of temperature, resembling a parabolic curve, where hotter
and colder temperatures require more power with the lowest power demand
between 59 to 77 [deg]F.
---------------------------------------------------------------------------
\417\ Basma, Hussein, Charbel Mansour, Marc Haddad, Maroun
Nemer, Pascal Stabat. ``Comprehensive energy modeling methodology
for battery electric buses''. Energy: Volume 207, 15 September 2020,
118241. Available online: https://www.sciencedirect.com/science/article/pii/S0360544220313487.
---------------------------------------------------------------------------
The power required for HVAC in HD TRUCS is based on a Basma et. al
study that determined the HVAC power demand across a range of ambient
temperatures.\418\ We created three separate ambient temperature bins:
one for heating (less than 55 [deg]F), one for cooling (greater than 80
[deg]F), and one for a temperature range that requires only ventilation
(55-80 [deg]F). In HD TRUCS, we already accounted for the energy loads
due to ventilation in the axle loads, so no additional energy
consumption is applied here for the ventilation-only operation. We then
weighted the power demands by the percent HD VMT traveled at a specific
temperature range. The results of the VMT-weighted HVAC power demand
for a Class 8 Transit Bus are shown in Table II-4. We request comment
on and data to support other approaches to quantify the HVAC energy
demand in BEVs, including the ambient temperature ranges where heating
and cooling are utilized.
---------------------------------------------------------------------------
\418\ It should be noted that Basma model has discrete values in
Celsius and MOVES data has discrete values in Fahrenheit. The Basma
discrete values in the Basma model is fitted to a parabolic curve
and converted into Fahrenheit to best fit the VMT distribution that
is available in MOVES.
Table II-4--HD TRUCS VMT-Weighted HVAC Power Demand of a Class 8 Transit
Bus
------------------------------------------------------------------------
Temperature Consumption
([deg]F) (kW)
------------------------------------------------------------------------
Heating................................. <55 5.06
Ventilation............................. 55-80 0.00
Cooling................................. >80 3.32
------------------------------------------------------------------------
Lastly, HVAC load is dependent on cabin size--the larger the size
of the cabin, the greater the HVAC demand. The values for HVAC power
demand shown in Table II-4 represent the power demand to heat or cool
the interior of a Class 8 Transit bus. However, HD vehicles have a
range of cabin sizes; therefore, we developed scaling ratios relative
to the cabin size of a Class 8 bus. Each vehicle's scaling factor is
based on the surface area of the vehicle compared to the surface area
of the Class 8 bus. For example, a Class 4-5 shuttle bus has a cabin
size ratio of 0.6, in this case, the heating demand for the vehicle
will be 3.04 kW and the cooling demand would be 1.99 kW. The adjustment
ratio for buses and ambulances are between 0.3-0.6, while the cabin
size for remaining HDVs have a similar cabin to a mid-size light duty
vehicle and therefore, a single average scaling factor of 0.2 was
applied to all remaining vehicle types.\419\ We welcome data to support
these or other cabin size scaling factors.
---------------------------------------------------------------------------
\419\ The interior cabin where the driver and passengers sit are
heated while where the cargo is stored is not heated.
---------------------------------------------------------------------------
Fuel cell stacks produce excess heat during the conversion of
hydrogen to electricity, similar to an ICE during combustion. This
excess heat can be used to heat the interior cabin of the vehicle. In
HD TRUCS, we already accounted for the energy loads due to ventilation
in the axle loads, so no additional energy consumption is applied to
FCEV for heating operation. Therefore, for FCEV energy consumption in
HD TRUCS, we only include additional energy requirements for air
conditioning (i.e. not for heating).\420\ As described in DRIA Chapter
2.4.1.1.1, we assigned a power demand of 3.32 kW for powering the air
conditioner on a Class 8 bus. The A/C loads are then scaled by the
cabin volume for other vehicle applications in HD TRUCS and applied to
the VMT fraction that requires cooling, just as we did for BEVs.
---------------------------------------------------------------------------
\420\ FCEVs use waste heat from the fuel cell for heating, and
that ventilation operates the same as it does for an ICE vehicle.
---------------------------------------------------------------------------
BEVs have thermal management systems to maintain battery core
temperatures within an optimal range of approximately 68 to 95 degrees
Fahrenheit (F).\421\ In HD TRUCS, we accounted for the battery thermal
management energy demands as a function of ambient temperature based on
a Basma et. al study.\422\ As described in DRIA Chapter 2.4.1.1.3, we
determined the amount of energy consumed to heat the battery with cabin
air when it is cold outside (less than 55 [deg]F) and energy consumed
to cool the battery when it is hot outside (greater than 80 [deg]F)
with refrigerant cooling. For the ambient temperatures between these
two regimes, we agreed with Basma, et. al that only ambient air cooling
is required for the batteries, which requires no additional load. We
first determined a single VMT-weighted power consumption value for
battery heating and a value for battery cooling based on the MOVES HD
VMT distribution, based on the same method used for HVAC. Then, we
determined the energy required for battery conditioning required for
eight hours of daily operation and expressed it in terms of percent of
total battery size. Table II-5 shows the energy consumption for battery
conditioning for both hot and cold ambient temperatures, expressed as a
percentage of battery capacity, used in HD TRUCS. We request additional
data on the battery thermal management loads for HD BEVs.
---------------------------------------------------------------------------
\421\ Basma, Hussein, Charbel Mansour, Marc Haddad, Maroun
Nemer, Pascal Stabat. ``Comprehensive energy modeling methodology
for battery electric buses''. Energy: Volume 207, 15 September 2020,
118241. Available online: https://www.sciencedirect.com/science/article/pii/S0360544220313487.
\422\ Ibid.
[[Page 25977]]
Table II-5--Battery Conditioning Energy Consumption
------------------------------------------------------------------------
Ambient Energy
temperature consumption
([deg]F) (%)
------------------------------------------------------------------------
Battery Heating......................... <55 1.9
Battery Cooling......................... >80 4.2
------------------------------------------------------------------------
iii. BEV Component Sizing and Weight
We used HD TRUCS to determine the size of two of the major
components in a BEV--the battery and the motor. The size of these
components is determined by the energy needs of the specific vehicle to
meet its daily operating requirements. In this subsection, we also
discuss our method to evaluate the payload and packaging impact of the
battery.
a. Battery
First, in HD TRUCS, we based the size of the battery on the daily
demands on the vehicle to perform a day's work, based on the 90th
percentile VMT (sizing VMT). As described in the Vehicle Energy Demand
subsection, this daily energy consumption is a function of miles the
vehicle is driven and the energy it consumes because of: (1) moving the
vehicle per unit mile, including the impact of regenerative braking,
and PTO energy requirements and (2) battery conditioning and HVAC
energy requirements. Then we also accounted for the battery efficiency,
depth of discharge, and deterioration in sizing of the batteries for
BEVs in HD TRUCS.
The daily energy consumption of each BEV in HD TRUCS is determined
by applying efficiency losses to energy consumption at the axle, as
described in DRIA Chapter 2.4.1.1.3. We have accounted for these losses
in the battery, inverter, and e-motor before the remaining energy
arrives at the axle, as shown in Table II-6. We request comment,
including data, on our approach and the results for our assessment of
system efficiencies for HD BEV components.
Table II-6--BEV Component Efficiencies Used in HD TRUCS
--------------------------------------------------------------------------------------------------------------------------------------------------------
Component MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) MY 2032 (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Battery................................................. 95 95 95 95 95 95
Inverter................................................ 97.0 97.0 97.0 97.5 97.5 97.5
E-Motor................................................. 94.5 94.5 94.5 95.0 95.0 95.0
Total System Efficiency................................. 87 87 87 88 88 88
--------------------------------------------------------------------------------------------------------------------------------------------------------
Next, we oversized the battery to account separately for the
typical usable amount of battery and for battery deterioration over
time. We sized the battery limiting the battery to a maximum depth of
discharge of 80 percent, recognizing that manufacturers and users
likely would not allow the battery capacity to be depleted beyond 80
percent of original capacity. We also accounted for deterioration of
the battery capacity over time by oversizing the battery by 20 percent,
assuming only 80 percent of the battery storage is available throughout
its life. Therefore, the battery sizes we used in our assessment are
conservative because they could meet 100 percent of the daily operating
requirement using the 90th percentile VMT at the battery end of life.
This is described in greater detail in DRIA Chapter 2.4.1.1 and
2.7.5.4. We request comment on approach and results for the useable
battery range and battery deterioration for HD BEVs that we could
consider for our final rule analysis.
b. Motor
We determined the size of the motor for each BEV based on the peak
power of the transient cycle and highway cruise cycles, the vehicle's
ability to meet minimum performance targets in terms of acceleration
rate of the vehicle, and the ability of the vehicle to maintain speed
going up a hill. As described in DRIA Chapter 2.4.1.2, we estimated a
BEV motor's peak power needs to size the e-motor, after considering the
peak power required during the ARB transient cycle \423\ and
performance targets included in ANL's Autonomie model \424\ and in
Islam et al.,\425\ as indicated in Table II-7. We assigned the target
maximum time to accelerate a vehicle from stop to 30 mph and 60 mph
based on weight class of each vehicle. We also used the criteria that
the vehicle must be able to maintain a specified cruise speed while
traveling up a road with a 6 percent grade, as shown in Table II-7. In
the case of cruising at 6 percent grade, the road load calculation is
set at a constant speed for each weight class bin on a hill with a 6
percent incline. We determined the required power rating of the motor
as the greatest power required to drive the vehicle over the ARB
transient test cycle, at 55 mph and 65 mph constant cruise speeds, or
at constant speed at 6 percent grade, and then applied losses from the
e-motor. We request comment on our approach using these performance
targets.
---------------------------------------------------------------------------
\423\ EPA uses three representative duty cycles for calculating
CO2 emissions in GEM: transient cycle and two highway
cruise cycles. The transient duty cycle was developed by the
California Air Resources Board (CARB) and includes no grade--just
stops and starts. The highway cruise duty cycles represent 55-mph
and 65-mph vehicle speeds on a representative highway. They use the
same road load profile but at different vehicle speeds, along with a
percent grade ranging from -5 percent to 5 percent.
\424\ Islam, Ehsan Sabri. Ram Vijayagopal, Ayman Moawad, Namdoo
Kim, Benjamin Dupont, Daniela Nieto Prada, Aymeric Rousseau, ``A
Detailed Vehicle Modeling & Simulation Study Quantifying Energy
Consumption and Cost Reduction of Advanced Vehicle Technologies
Through 2050,'' Report to the U.S. Department of Energy, Contract
ANL/ESD-21/10, October 2021. See previous reports and analysis:
2021. Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
\425\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22/6, October 2022. Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
Table II-7--ANL Performance Targets
--------------------------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational
Tractors
--------------------------------------------------------------------------------------------------------------------------------------------------------
Weight Class Bin.................................. 2b-3 4-5 6-7 8 7 8
0-30 mph Time (s)................................. 7 8 16 20 18 20
0-60 mph Time (s)................................. 25 25 50 100 60 100
[[Page 25978]]
Cruise Speed (mph) @ 6% grade..................... 65 55 45 25 30 30
--------------------------------------------------------------------------------------------------------------------------------------------------------
c. Battery Weight and Volume
Performance needs of a BEV can result in a battery that is so large
or heavy that it impacts payload and, thus, potential work accomplished
relative to a comparable ICE vehicle. We determined the battery weight
and physical volume for each vehicle application in HD TRUCS using the
specific energy and energy density of the battery for each battery
capacity. As described in DRIA Chapter 2.4.2, to determine the weight
impact, we used battery specific energy, which measures battery energy
per unit of mass. While battery technologies have made tremendous
advancements in recent years, it is well known that current automotive
batteries add mass to the vehicle. Our values for the specific energy
of battery packs with lithium-ion cell chemistries are based on
Autonomie.\426\ The values we used in HD TRUCS are shown in Table II-8.
---------------------------------------------------------------------------
\426\ Islam, Ehsan Sabri. Ram Vijayagopal, Ayman Moawad, Namdoo
Kim, Benjamin Dupont, Daniela Nieto Prada, Aymeric Rousseau, ``A
Detailed Vehicle Modeling & Simulation Study Quantifying Energy
Consumption and Cost Reduction of Advanced Vehicle Technologies
Through 2050,'' Report to the U.S. Department of Energy, Contract
ANL/ESD-21/10, October 2021. See previous reports and analysis:
2021. Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
Table II-8--Battery Pack-Level Specific Energy in HD TRUCS (Wh/kg)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
--------------------------------------------------------------------------------------------------------------------------------------------------------
Specific Energy (Wh/kg)........................... 199 203 208 213 218 223
--------------------------------------------------------------------------------------------------------------------------------------------------------
To evaluate battery volume and determine the packaging space
required for each HD vehicle type, we used battery energy density. We
also estimated the battery's width using the wheelbase and frame
depths.
Battery energy density (also referred to as volumetric energy
density) measures battery energy per unit of volume. This value was not
available as a part of the Autonomie; however, the overall trend of
energy density shows a linear correlation with specific energy. In this
analysis, we determined the energy density is 2.5 times that of
specific energy, as shown in Table II-9.
Table II-9--Battery Pack Level Energy Density in HD TRUCS (Wh/L)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
--------------------------------------------------------------------------------------------------------------------------------------------------------
Specific Energy (Wh/L).................................. 496 508 521 533 545 557
--------------------------------------------------------------------------------------------------------------------------------------------------------
We request comment on our approach and results as well as comment
and data on current and projected levels of battery-specific energy and
battery-specific density values for HD vehicles.
Heavy-duty vehicles are used to perform work, such as moving cargo
or carrying passengers. Consequently, heavy-duty vehicles are sensitive
to increases in vehicle weight and carrying volume. To take this into
account, we also evaluated BEVs in terms of the overall impact on
payload-carrying ability and battery packaging space. The results of
this analysis can be found in DRIA Chapters 2.4.2 and 2.8.1. We found
that the extra weight of the batteries for applications such as coach
buses and tractors that travel long distances could have an impact on
operations of these vehicles as BEVs. Therefore, for applications where
our analysis showed that BEVs impacted the payload capacity by over 30
percent, we assessed fuel cell technology. In this proposal we are
using a single technology package that supports the feasibility of the
proposed standards, but we recognize the potential of BEVs in the
applications where we evaluate FCEVs, as demonstrated by the
development of a long-haul battery electric tractor by Tesla.
iv. Charging Infrastructure for BEVs
Charging infrastructure represents a key element required for HD
BEV operation. More charging infrastructure will be needed to support
the growing fleet of HD BEVs. This will likely consist of a combination
of (1) depot charging--with infrastructure installed in parking depots,
warehouses, and other private locations where vehicles are parked off-
shift (when not in use), and (2) en-route charging, which provides
additional electricity for vehicles during their operating hours.
In draft RIA Chapters 2.6 and 2.7.7 we describe how we accounted
for charging infrastructure in our analysis of HD BEV technology
feasibility and adoption rates for MYs 2027-2032. For this analysis, we
estimate infrastructure costs associated with depot charging to fulfill
each BEV's daily charging needs off-shift with the appropriately sized
electrical vehicle supply equipment.\427\ This approach reflects our
expectation that many heavy-duty BEV owners will opt to purchase and
install EVSE at depots; accordingly, we explicitly account for all of
these upfront costs in our analysis. By contrast, we do not estimate
upfront hardware and installation costs for public and other en-route
electric charging infrastructure because the BEV charging needs are met
with depot charging in our analysis. Discussion of private sector
infrastructure investments and charging deployment projects is included
in DRIA Chapter 1.6.2. We request comment on this analytical approach.
---------------------------------------------------------------------------
\427\ We sized EVSE to meet vehicles' daily electricity
consumption (kWh/day) based on the 90th percentile VMT.
---------------------------------------------------------------------------
Vehicle owners with return-to-base operations who choose to install
depot charging equipment have many options from which to select. This
includes AC
[[Page 25979]]
or DC charging, power level, as well as the number of ports and
connectors per charging unit, connector type(s), communications
protocols, and additional features such as vehicle-to-grid capability
(which allows the vehicle to supply energy back to the grid). Many of
these selections will impact EVSE hardware and installation costs, with
power level as one of the most significant drivers of cost. While
specific cost estimates vary across the literature, higher-power
charging equipment is typically more expensive than lower-power units.
For this reason, we have chosen to evaluate infrastructure costs
separately for four different, common charging types in our depot
charging analysis: AC Level 2 (19.2 kW) and 50 kW, 150 kW, and 350 kW
DC fast charging (DCFC).
How long a vehicle is off-shift and parked at a depot, warehouse,
or other home base each day is a key factor for determining which
charging type(s) could meet its needs. The amount of time available at
the depot for charging (dwell time) will depend on a vehicle's duty
cycle. For example, a school bus or refuse truck may be parked at a
depot in the afternoon and remain there until the following morning
whereas a transit bus may continue to operate throughout the evening.
Even for a specific vehicle, off-shift dwell times may vary between
weekends and weekdays, by season, or due to other factors that impact
its operation. The 101 vehicle types in our analysis span a wide range
of vehicle applications and duty cycles, and we expect their off-shift
dwell times at depots to vary accordingly. As described in DRIA Chapter
2.6.4.1, in order to better understand what an average depot dwell time
might look like, we examined a dataset with engine start and off times
for 564 commercial vehicles. We used the longest time the vehicle
engine was off each day as a rough proxy for depot dwell time, finding
the average across all 564 vehicles to be over 14 hours, with proxy
dwell times for most of the seven vehicle categories examined rounding
to 12 hours or longer. However, assigning specific dwell times for each
of the 101 vehicle types in our analysis is challenging due a lack of
comprehensive datasets on parking times and locations, and, as further
detailed in DRIA Chapter 2.6.4.1, we acknowledge limitations in the
approach and dataset we examined. Given these uncertainties, we used an
off-shift dwell time for all vehicle types of 12 hours for the purpose
of selecting charging equipment at depots in our analysis.
v. FCEV Component Sizing
To compare diesel-fueled HD ICE vehicles and HD FCEV technology
costs and performance in HD TRUCS, this section explains how we define
HD FCEVs based on the performance and use criteria in DRIA Chapter 2.2
(that we also used for HD BEVs, as explained in Section D.5.ii). We
determined the e-motor, fuel cell stack, and battery pack sizes to meet
the power requirements for each of the eight FCEVs represented in HD
TRUCS. We also estimated the size of the onboard fuel tank needed to
store the energy, in the form of hydrogen, required to meet typical
range and duty cycle needs. See DRIA Chapter 2.5 for further details.
We request comment, including data, on our approach and results from
our assessment of HD FCEV component sizing.
a. E-Motor
As discussed in DRIA Chapter 2.4.1.2, the electric motor (e-motor)
is part of the electric drive system that converts the electric power
from the battery or fuel cell into mechanical power to move the wheels
of the vehicle. In HD TRUCS, the e-motor was sized for a FCEV like it
was sized for a BEV--to meet peak power needs of a vehicle, which is
the maximum power to drive the ARB transient cycle, meet the maximum
time to accelerate from 0 to 30 mph, meet the maximum time to
accelerate from 0 to 60 mph, and maintain a set speed up a six-percent
grade. Additional power was added to account for e-motor efficiency
losses using the same e-motor efficiency losses calculated and applied
for BEVs, as discussed in DRIA Chapter 2.4.1.1.3.
b. Fuel Cell Stack
Vehicle power in a FCEV comes from a combination of the fuel cell
(FC) stack and the battery pack. The FC stack behaves like the internal
combustion engine of a hybrid vehicle, converting chemical energy
stored in the hydrogen fuel into useful work. The battery is charged by
power derived from regenerative braking, as well as excess power from
the FC stack. Some FCEVs are designed to primarily rely on the fuel
cell stack to produce the necessary power, with the battery exclusively
used to capture energy from regenerative braking. Other FCEVs are
designed to store more energy in a battery to meet demand during
situations of high-power need.428 429
---------------------------------------------------------------------------
\428\ Note that ANL's analysis defines a fuel cell hybrid EV as
a battery-dominant vehicle with a large energy battery pack and a
small fuel cell, and a fuel cell EV as a fuel cell-dominant vehicle
with a large fuel cell and a smaller power battery. Ours is a
slightly different approach because we consider a fuel cell-dominant
vehicle with a battery with energy cells. We took this approach
because energy cell batteries are less expensive to manufacture than
power cell batteries.
\429\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22.6. October 2022. See Full report. Available
online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
---------------------------------------------------------------------------
While much of FCEV design is dependent on the use case of the
vehicle, manufacturers also balance the cost of components such as the
FC stack, the battery, and the hydrogen fuel storage tanks. For the
purposes of this HD TRUCS analysis, we focused on proton-exchange
membrane (PEM) fuel cells that use energy battery cells, where the fuel
cell and the battery were sized based on the demands of the vehicle. In
HD TRUCS, the fuel cell stack was sized either to reach the 90th
percentile of power required for driving the ARB transient cycle or to
maintain a constant highway speed of 75 mph. The 90th percentile power
requirement was used to size the fuel cells of vocational vehicles. For
sleeper and day cabs, the fuel cell was sized using the power required
to drive at 75 mph with 80,000-pound gross combined vehicle weight
(GCVW).
To avoid undersizing the fuel cell stack, we applied efficiency
values to account for losses that take place before the remaining
energy arrives at the axle. The same battery and inverter efficiencies
from Table II-10 were used for the FCEV calculations. Fuel cell stack
efficiency losses are due to the conversion of onboard hydrogen to
electricity. The DOE technical targets for Class 8 long-haul tractor-
trailers are to reach 68 percent peak efficiency by around 2030 (this
is the interim target; the ultimate target is to reach 72 percent
efficiency).430 431 Table II-10 shows the fuel cell
efficiency values that we used for MYs 2027-2032 in HD TRUCS, which are
slightly more conservative yet include expected improvements over time.
We averaged the high-tech peak efficiency estimates with low-tech peak
efficiency estimates from ANL's 2022 Autonomie \432\ for 2025, 2030,
and 2035
[[Page 25980]]
for available vehicle types. We then linearly interpolated these
averaged values to calculate values for each year.
---------------------------------------------------------------------------
\430\ According to DOE, ultimate targets are ``based on 2050
simple cost of ownership assumptions and reflects anticipated
timeframe for market penetration''.
\431\ Marcinkoski, Jason et. al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\432\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22.6. October 2022. See Medium- and heavy-duty
vehicles (assumptions). Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
Table II-10--FCEV Fuel Cell Efficiencies for MY 2027-2032
----------------------------------------------------------------------------------------------------------------
Component 2027 (%) 2028 (%) 2029 (%) 2030 (%) 2031 (%) 2032 (%)
----------------------------------------------------------------------------------------------------------------
Fuel Cell..................................... 64.5 64.5 64.5 66.0 66.0 66.0
----------------------------------------------------------------------------------------------------------------
c. Battery Pack
As described in DRIA Chapter 2.5.1.1.3, in HD TRUCS, the battery
power accounts for the difference between the power demand of the e-
motor at any moment and the maximum power output of the fuel cell
stack. We sized the battery to meet these power needs in excess of the
fuel cell stack's capability only when the fuel cell cannot provide
sufficient power. In our analysis, the remaining power needs are
sustained for a duration of 10 minutes (e.g., to assist with a climb up
a steep hill).
d. Onboard Hydrogen Storage Tank
A FCEV is re-fueled like a gasoline or diesel-fueled vehicle. We
determined the capacity of the onboard hydrogen energy storage system
using an approach like the BEV methodology for battery pack sizing in
DRIA Chapter 2.4.1.1, but we based the amount of hydrogen needed on the
daily energy consumption needs of a FCEV.
As described in DRIA Chapter 2.5.1.2, we converted FCEV energy
consumption (kWh) into hydrogen weight using an energy content of 33.33
kWh per kg of hydrogen. In our analysis, 95 percent of the hydrogen in
the tank (``usable H2'') can be accessed. This is based on targets for
light-duty vehicles, where a 700-bar hydrogen fuel tank with a capacity
of 5.9 kg has 5.6 kg of usable hydrogen.\433\ Furthermore, we added an
additional 10 percent to the tank size in HD TRUCS to avoid complete
depletion of hydrogen from the tank.
---------------------------------------------------------------------------
\433\ U.S. Department of Energy, US Drive. ``Target Explanation
Document: Onboard Hydrogen Storage for Light-Duty Fuel Cell
Vehicles''. 2017. Available online: https://www.energy.gov/sites/prod/files/2017/05/f34/fcto_targets_onboard_hydro_storage_explanation.pdf.
---------------------------------------------------------------------------
E. Technology, Charging Infrastructure, and Operating Costs
In the following subsections, we first discuss BEV technology
(Section II.E.1) and associated EVSE technology costs (Section II.E.2)
and FCEV technology costs (Section II.E.3). DRIA Chapter 2.4.3. (for
BEVs) and DRIA Chapter 2.5.2 (for FCEVs) includes the cost estimates
for each of the 101 applications. We then discuss the Inflation
Reduction Act tax credits we quantified in our analysis in Section
II.E.4. Our assessment of operating costs including the fuel or
electricity costs, along with the maintenance and repair costs, are
presented in Section II.E.5. This subsection concludes with the overall
payback analysis in Section II.E.6. DRIA Chapter 2.8.2 includes the
vehicle technology costs, EVSE costs, operating costs, and payback
results for each of the 101 HD applications. The technology costs
aggregated into MOVES categories are also described in detail in DRIA
Chapter 3.1.
1. BEV Technology Costs
The incremental cost of a BEV powertrain system is calculated as
the cost difference from the comparable vehicle powertrain with an ICE.
The ICE vehicle powertrain cost is a sum of the costs of the engine
(including the projected cost of the HD2027 standards), alternator,
gearbox (transmission), starter, torque converter, and final drive
system.
Heavy-duty BEV powertrain costs consist of the battery, electric
motor, inverter, converter, onboard charger, power electronics
controller, transmission or gearbox, final drive, and any electrical
accessories. DRIA Chapter 2.4.3 contains additional detail on our cost
projections for each of these components. We request comment, including
additional data, on our analysis for consideration in the final rule
regarding current and projected BEV component costs.
Battery costs are widely discussed in the literature because they
are a key driver of the cost of a HD electric vehicle. The per unit
cost of the battery, in terms of $/kWh, is the most common metric in
determining the cost of the battery as the final size of the battery
may vary significantly between different applications. The total
battery pack cost is a function of the per unit kWh cost and the size
(in terms of kWh) of the pack.
There are numerous projections for battery costs and battery
pricing in the literature that cover a range of estimates. Sources do
not always clearly define what is included in their cost or price
projections, nor whether the projections reflect direct manufacturing
costs incurred by the manufacturer or the prices seen by the end-
consumer. Except as noted, the values in the literature we used were
developed prior to enactment of the Inflation Reduction Act. For
example, BloombergNEF presents battery prices that would reach $100 per
kWh in 2026.\434\ In 2021, ANL developed cost projections for heavy-
duty vehicle battery packs in their benefit analysis (BEAN) model, that
ranged from $225 per kWh to $175 per kWh in 2027 and drop to $150 per
kWh to $115 per kWh in 2035.\435\ In a recent update to BEAN, released
after the IRA was passed, ANL now projects heavy-duty battery pack
costs in the range of $95 per kWh to $128 per kWh in 2025 and a drop to
between $70 per kWh and $90 per kWh in 2035.\436\ The direct
manufacturing battery cost for MY 2027 used in HD TRUCS is based on a
literature review of costs of zero-emission truck components conducted
by the International Council on Clean Transportation (ICCT).\437\ As
described in detail in DRIA Chapter 2.4.3.1, we considered this source
to be a comprehensive review of the literature at the time of the HD
TRUCS analysis for the cost of battery packs in the
[[Page 25981]]
absence of the IRA, which may mean that it presents higher costs than
will be realized with the incentives in the IRA, even when accounting
for the battery tax credit described in Section II.E.4. In 2025, the
average cost is estimated to be $163.50/kWh (2019$) and, in 2030, the
average cost is projected to fall to $100 (2019$). We applied a linear
interpolation of these values that yields an estimated cost of $138/kWh
(2019$) for MY 2027. We then projected the costs to MY 2032 by using an
EPA estimate of market learning related to battery production and the
respective reduction in battery costs over this period of time, as
shown in Table II-11. We request comment, including data, on our
approach and projections for battery pack costs for the heavy-duty
sector, including values that specifically incorporate the potential
impacts of the IRA.
---------------------------------------------------------------------------
\434\ Bloomberg NEF. ``Battery Pack Prices Fall to an Average of
$132/kWh, But Rising Commodity Prices Start to Bite.'' November 30,
2021. https://about.bnef.com/blog/battery-pack-prices-fall-to-an-average-of-132-kwh-but-rising-commodity-prices-start-to-bite/.
\435\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
August 2022).
\436\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
December 2022).
\437\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation, Working Paper 2022-09 (February 2022). Available
online: https://theicct.org/publication/purchase-cost-ze-trucks-feb22/.
Table II-11--Direct Manufacturing Pack-Level Battery Costs in HD TRUCS
[2021$]
----------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
----------------------------------------------------------------------------------------------------------------
Battery Cost ($/kWh).......................... 145 134 126 120 115 111
----------------------------------------------------------------------------------------------------------------
Batteries are the most significant cost component for BEVs and the
IRA section 13502, ``Advanced Manufacturing Production Credit,'' has
the potential to significantly reduce the cost of BEVs whose batteries
are produced in the United States. As discussed in Section II.E.4, we
thus then also accounted for the IRA Advanced Manufacturing Production
Credit, which provides up to $45 per kWh tax credits (with specified
phase-out in calendar years (CYs) 2030-2033) for the production and
sale of battery cells and modules, and additional tax credits for
producing critical minerals such as those found in batteries, when such
components or minerals are produced in the United States and other
criteria are met.
An electric drive (e-drive)--another major component of an electric
vehicle--includes the electric motor, an inverter, a converter, and
optionally, a transmission system or gearbox. The electric energy in
the form of direct current (DC) is provided from the battery; an
inverter is used to change the DC into alternating current (AC) for use
by the motor. The motor then converts the electric power into
mechanical or motive power to move the vehicle. Conversely, the motor
also receives AC from the regenerative braking, whereby the converter
changes it to DC to be stored in the battery. The transmission reduces
the speed of the motor through a set of gears to an appropriate speed
at the axle. An emerging trend is to replace the transmission and
driveline with an e-axle, which is an electric motor integrated into
the axle, e-axles are not explicitly covered in our cost analysis.\438\
We request data on e-axle costs that we could consider for the final
rule.
---------------------------------------------------------------------------
\438\ E-axles are an emerging technology that have potential to
realize efficiency gains because they have fewer moving parts.
---------------------------------------------------------------------------
Similar to the battery cost, there is a range of electric drive
cost projections available in the literature. One reason for the
disparity is differences across the literature is what is included in
each for the ``electric drive''; some cost estimates include only the
electric motor and others present a more integrated model of e-motor/
inverter/gearbox combination. As described in detail in DRIA Chapter
2.4.3.2.1, EPA's MY 2027 e-drive cost, shown in Table II-12, comes from
ANL's 2022 BEAN model and is a linear interpolation of the average of
the high- and low-tech scenarios for 2025 and 2030, adjusted to
2021$.\439\ We then calculated MY 2028-2032 values, also shown in Table
II-12, using an EPA estimate of market learning shown in DRIA Chapter
3.2.1. We welcome comment, including data, on our assessment of e-drive
costs.
---------------------------------------------------------------------------
\439\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
December 2022).
Table II-12--E-Drive Direct Manufacturing Costs in HD TRUCS
[$/kW] [2021$]
----------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
----------------------------------------------------------------------------------------------------------------
E-Drive Cost ($/kW)........................... 20 18 17 16 16 15
----------------------------------------------------------------------------------------------------------------
Gearbox and final drive units are used to reduce the speed of the
motor and transmit torque to the axle of the vehicle. In HD TRUCS, the
final drive unit direct manufacturing cost is $1,500 per unit, based on
the ``Power Converter'' average cost in ANL's BEAN model.\440\ The cost
of the gearbox varies depending on the vehicle weight class and duty
cycle. In our assessment, all light heavy-duty BEVs would be direct
drive and have no transmission and therefore no cost, consistent with
ANL's BEAN model. We then mapped BEAN gearbox costs for BEVs to the
appropriate medium heavy-duty and heavy heavy-duty vehicles in HD
TRUCS. Gearbox and final drive costs for BEVs are in DRIA Chapter
2.4.3.2.
---------------------------------------------------------------------------
\440\ Ibid.
---------------------------------------------------------------------------
Power electronics are another electrification component (along with
batteries and motors) where a DC-DC converter transitions high battery
voltage to a common 12V level for auxiliary uses. EPA's power
electronics and electric accessories costs of $6,000 per unit came from
ANL's BEAN model.\441\ See DRIA Chapter 2.4.3.2.2 for further details.
---------------------------------------------------------------------------
\441\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
August 2022).
---------------------------------------------------------------------------
When using a Level 2 charging plug, an on-board charger converts AC
power from the grid to usable DC power via an AC-DC converter. When
using a DC fast charger (DCFC), any AC-DC converter is bypassed, and
the high-voltage battery is charged directly. As further discussed in
DRIA Chapter 2.4.3.3, EPA's on-board charger costs, as shown in Table
II-13, come from ANL's BEAN model and we averaged the low-tech and
high-tech values for 2025 and 2030, and then MY
[[Page 25982]]
2027 was linearly interpolated and adjusted to 2021$.\442\ We then
calculated the MY 2028-2032 costs using the learning curve shown in
DRIA Chapter 3.2.1.
---------------------------------------------------------------------------
\442\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
August 2022).
Table II-13--On-Board Charger Direct Manufacturing Costs in HD TRUCS
[2021$]
----------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
----------------------------------------------------------------------------------------------------------------
On-Board Charger Cost ($/unit)................ 38 35 33 31 30 29
----------------------------------------------------------------------------------------------------------------
The total upfront BEV direct manufacturing cost is the summation of
the per-unit cost of the battery, motor, power electronics, on-board
charger, gearbox, final drive, and accessories. The total direct
manufacturing technology costs for BEVs for each of the 101 vehicle
types in HD TRUCS can be found in DRIA Chapter 2.4.3.5 for MY 2027 and
MY 2032.
2. Charging Infrastructure Costs
In our analysis of depot charging infrastructure costs, we account
for the cost to purchasers to procure both EVSE (which we refer to as
the hardware costs) as well as costs to install the equipment. These
installation costs typically include labor and supplies, permitting,
taxes, and any upgrades or modifications to the on-site electrical
service. We developed our EVSE cost estimates from the available
literature, as discussed in DRIA Chapter 2.6.
Both hardware and installation costs could vary over time. For
example, hardware costs could decrease due to manufacturing learning
and economies of scale. Recent studies by ICCT assumed a 3 percent
reduction in hardware costs for EVSE per year to
2030.443 444 By contrast, installation costs could increase
due to growth in labor or material costs. Installation costs are also
highly dependent on the specifics of the site including whether
sufficient electric capacity exists to add charging infrastructure and
how much trenching or other construction is required. If fleet owners
choose to install charging stations at easier, and therefore, lower
cost sites first, then installation costs could rise over time as
stations are developed at more challenging sites. One of the ICCT
studies found that these and other countervailing factors could result
in the average cost of a 150 kW EVSE port in 2030 being similar (~3
percent lower) to that in 2021.\445\ After considering the uncertainty
on how costs may change over time, we keep the combined hardware and
installation costs per EVSE port constant. We request comment on this
approach.
---------------------------------------------------------------------------
\443\ Minjares, Ray, Felipe Rodriguez, Arijit Sen, and Caleb
Braun. ``Infrastructure to support a 100% zero-emission tractor-
trailer fleet in the United States by 2040''. ICCT, September 2021.
Available online: https://theicct.org/sites/default/files/publications/ze-tractor-trailer-fleet-us-hdvs-sept21.pdf.
\444\ Bauer, Gordon, Chih-Wei Hsu, Mike Nicholas, and Nic
Lutsey. ``Charging Up America: Assessing the Growing Need for U.S.
Charging Infrastructure Through 2030''. The International Council on
Clean Transportation, July 2021. Available online: https://theicct.org/wp-content/uploads/2021/12/charging-up-america-jul2021.pdf.
\445\ Ibid.
---------------------------------------------------------------------------
Our infrastructure analysis centered around four charging types for
heavy-duty depot charging. As shown in Table II-14, the EVSE costs we
used in our analysis range from about $10,000 for a Level 2 port to
over $160,000 for a 350 kW DCFC port. As described in Chapter 2.6, in
our analysis, we allow up to two vehicles to share one DCFC port if
there is sufficient depot dwell time for both vehicles to meet their
daily charging needs.\446\ In those cases, the EVSE costs per vehicle
are halved. We request comment, including data, on our approach and
assessment of current and future costs for charging equipment and
installation.
---------------------------------------------------------------------------
\446\ We note that for some of the vehicle types we evaluated,
more than two vehicles could share a DCFC port and still meet their
daily electricity consumption needs. However, we choose to limit
sharing to two vehicles pending market developments and more robust
depot dwell time estimates.
Table II-14--Combined Hardware and Installation EVSE Costs, per Vehicle
[2021$]
------------------------------------------------------------------------
Charging type Cost Cost
------------------------------------------------------------------------
(1 Vehicle per (2 Vehicles
port) per port)
------------------------------------------------------------------------
Level 2 (19.2 kW)....................... $10,541 Not Applicable
DCFC-50 kW.............................. 31,623 $15,811
DCFC-150 kW............................. 99,086 49,543
DCFC-350 kW............................. 162,333 81,166
------------------------------------------------------------------------
EPA acknowledges that there may be additional infrastructure needs
and costs beyond those associated with charging equipment itself. While
planning for additional electricity demand is a standard practice for
utilities and not specific to BEV charging, the buildout of public and
private charging stations (particularly those with multiple high-
powered DC fast charging units) could in some cases require upgrades to
local distribution systems. For example, a recent study found power
needs as low as 200 kW could trigger a requirement to install a
distribution transformer.\447\ The use of onsite battery storage and
renewables may be able to reduce the need for some distribution
upgrades; station operators may also opt to install these to mitigate
demand charges associated with peak
[[Page 25983]]
power.\448\ However, there is considerable uncertainty associated with
future distribution upgrade needs, and in many cases, some costs may be
borne by utilities rather than directly incurred by BEV or fleet
owners. Therefore, we do not model them directly as part of our
infrastructure cost analysis. We welcome comments on this and other
aspects of our cost analysis.
---------------------------------------------------------------------------
\447\ Borlaug, B., Muratori, M., Gilleran, M. et al, ``Heavy-
duty truck electrification and the impacts of depot charging on
electricity distribution systems,'' Nat Energy 6, 673-682 (2021).
Accessed on January 11, 2023, at https://doi.org/10.1038/s41560-021-00855-0.
\448\ Matt Alexander, Noel Crisostomo, Wendell Krell, Jeffrey
Lu, Raja Ramesh,'' Assembly Bill 2127: Electric Vehicle Charging
Infrastructure Assessment,'' July 2021, California Energy
Commission. Accessed March 9, 2023, at https://www.energy.ca.gov/programs-and-topics/programs/electric-vehicle-charging-infrastructure-assessment-ab-2127.
---------------------------------------------------------------------------
As discussed in Section V, we model changes to power generation due
to the increased electricity demand anticipated in the proposal as part
of our upstream analysis. We project the additional generation needed
to meet the demand of the heavy-duty BEVs in the proposal to be
relatively modest (as shown in DRIA Chapter 6.5). As the proposal is
estimated to increase electric power end use by heavy-duty electric
vehicles by 0.1 percent in 2027 and increasing to 2.8 percent in 2055.
The U.S. electricity end use between the years 1992 and 2021, a similar
number of years included in our proposal analysis, increased by around
25 percent \449\ without any adverse effects on electric grid
reliability or electricity generation capacity shortages. Grid
reliability is not expected to be adversely affected by the modest
increase in electricity demand associated with HD BEV charging.
---------------------------------------------------------------------------
\449\ Annual Energy Outlook 2022, U.S. Energy Information
Administration, March 3, 2022 (https://www.eia.gov/outlooks/aeo/narrative/introduction/sub-topic-01.php).
---------------------------------------------------------------------------
A GAO report noted that the private sector and the government share
responsibility for the reliability of the U.S. electric power grid. The
report stated, ``Most of the electricity grid--the commercial electric
power transmission and distribution system comprising power lines and
other infrastructure--is owned and operated by private industry.
However, Federal, state, local, Tribal, and territorial governments
also have significant roles in enhancing the resilience of the
electricity grid.'' \450\ For instance, at the Federal level, the
Department of Homeland Security (DHS) coordinates Federal efforts to
promote the security and reliability of the nation's energy sector; the
Department of Energy (DOE) leads Federal efforts including research and
technology development; and the Federal Energy Regulatory Commission
(FERC) regulates the interstate electricity transmission and is
responsible for reviewing and approving mandatory electric Reliability
Standards, which are developed by the North American Electric
Reliability Corporation (NERC).\451\ NERC is the federally designated
U.S. electric reliability organization which ``develops and enforces
Reliability Standards; annually assesses seasonal and long[hyphen]term
reliability; monitors the bulk power system through system awareness;
and educates, trains, and certifies industry personnel.'' \452\ These
efforts help to keep the U.S. electric power grid is reliable. We also
consulted with FERC and EPRI staff on bulk power system reliability and
related issues.
---------------------------------------------------------------------------
\450\ Federal Efforts to Enhance Grid Resilience. General
Accounting Office, GAO-17-153, 1/25/2017. https://www.gao.gov/assets/gao-17-153.pdf.
\451\ Electricity Grid Resilience. General Accounting Office,
GAO-21-105403, 9/20/2021, https://www.gao.gov/assets/gao-21-105403.pdf.
\452\ North American Electric Reliability Corporation. ``About
NERC''. Available online: https://www.nerc.com/AboutNERC/Pages/default.aspx.
---------------------------------------------------------------------------
U.S. electric power utilities routinely upgrade the nation's
electric power system to improve grid reliability and to meet new
electric power demands. For example, when confronted with rapid
adoption of air conditioners in the 1960s and 1970s, U.S. electric
power utilities successfully met the new demand for electricity by
planning and building upgrades to the electric power distribution
system. Likewise, U.S. electric power utilities planned and built
distribution system upgrades required to service the rapid growth of
power-intensive data centers and server farms over the past two
decades. U.S. electric power utilities have already successfully
designed and built the distribution system infrastructure required for
1.4 million battery electric vehicles.\453\ Utilities have also
successfully integrated 46.1 GW of new utility-scale electric
generating capacity into the grid.\454\
---------------------------------------------------------------------------
\453\ U.S. DOE Alternative Fuels Data Center, Maps and Data--
Electric Vehicle Registrations by State, https://afdc.energy.gov/data/.
\454\ EIA, ``Electric Power Annual 2021'', November 2022.
Available online: https://www.eia.gov/electricity/annual/html/epa_01_01.html.
---------------------------------------------------------------------------
When taking into consideration ongoing upgrades to the U.S.
electric power grid, and that the U.S. electric power utilities
generally have more capacity to produce electricity than is
consumed,\455\ the expected increase in electric power demand
attributable to vehicle electrification is not expected to adversely
affect grid reliability due to the modest increase in electricity
demand associated with electric vehicle charging. The additional
electricity demand from HD BEVs will depend on the time of day that
charging occurs, the type or power level of charging, and the use of
onsite storage and vehicle-to-grid (V2G) or other vehicle-grid-
integration (VGI) technology, among other considerations, as discussed
in DRIA Chapter 1.6.4. As noted by Lipman et al.,\456\ a wide variety
of organizations are engaged in VGI research, including the California
Energy Commission,\457\ California Public Utilities Commission,\458\
California Independent System Operator,\459\ the Electric Power
Research Institute, as well as charging providers, utilities (e.g.,
SCE, PG&E, SDG&E), and automakers. Electric Island, a truck charging
station deployed by Daimler Trucks North America and Portland General
Electric which is planned to eventually include megawatt-level
charging, will offer an opportunity to test energy management and VGI
with heavy-duty BEVs. Future plans for Electric Island also include the
use of onsite solar generation and battery storage.\460\
---------------------------------------------------------------------------
\455\ EIA, ``Electric Power Annual 2021'', November 2022.
Available online: https://www.eia.gov/electricity/annual/html/epa_01_01.html.
\456\ Lipman, Timothy, Alissa Harrington, and Adam Langton.
2021. ``Total Charge Management of Electric Vehicles.'' California
Energy Commission.'' Publication Number: CEC-500-2021-055. Available
online: https://www.energy.ca.gov/sites/default/files/2021-12/CEC-500-2021-055.pdf.
\457\ Chhaya, S., et al., ``Distribution System Constrained
Vehicle-to-Grid Services for Improved Grid Stability and
Reliability,'' Publication Number: CEC-500-2019-027, 2019. Available
online: https://www.energy.ca.gov/sites/default/files/2021-06/CEC-500-2019-027.pdf.
\458\ Order Instituting Rulemaking to Continue the Development
of Rates and Infrastructure for Vehicle Electrification. California
Public Utilities Commission, Rulemaking 18-12-006, 12/21/2020.
\459\ California Independent System Operator (CAISO),
``California Vehicle-Grid Integration (VGI) Roadmap: Enabling
vehicle-based grid services,'' February 2014.
\460\ PGE, ``Daimler Trucks North America, Portland General
Electric open first-of-its-kind heavy-duty electric truck charging
site,'' April 21, 2021. Available online: https://portlandgeneral.com/news/2021-04-21-daimler-portland-general-electric-open-electric-charging-site.
---------------------------------------------------------------------------
Finally, we note that DOE is engaged in multiple efforts to
modernize the grid and improve resilience and reliability. For example,
in November 2022, DOE announced $13 billion in funding opportunities
under the BIL to support transmission and distribution infrastructure.
This includes $3 billion for smart grid grants with a focus on PEV
integration among other topics.\461\
---------------------------------------------------------------------------
\461\ DOE, ``Biden-Harris Administration Announces $13 Billion
to Modernize and Expand America's Power Grid,'' November 18, 2022.
Available online: https://www.energy.gov/articles/biden-harris-administration-announces-13-billion-modernize-and-expand-americas-power-grid.
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[[Page 25984]]
3. FCEV Technology Costs
FCEVs and BEVs include many of the same components such as a
battery pack, e-motor, power electronics, gearbox unit, final drive,
and electrical accessories. Therefore we used the same costs for these
components across vehicles used for the same applications; for detailed
descriptions of these components, see DRIA Chapter 2.4.3. In this
subsection and DRIA Chapter 2.5.2, we present the costs for components
for FCEVs that are different from a BEV. These components include the
fuel cell stack and hydrogen fuel tank. The same energy cell battery
costs used for BEVs are used for fuel cell vehicles, but the battery
size of a comparable FCEV is smaller. We request comment, including
data, on our approach and cost projections for FCEV components.
i. Fuel Cell Stack Costs
The fuel cell stack is the most expensive component of a heavy-duty
FCEV. Fuel cells for the heavy-duty sector are expected to be more
expensive than fuel cells for the light-duty sector because they
operate at higher average continuous power over their lifespan, which
requires a larger fuel cell stack size, and because they have longer
durability needs (i.e., technology targets are for 25,000 to 30,000
hours for a truck versus 8,000 hours for cars).\462\
---------------------------------------------------------------------------
\462\ Marcinkoski, Jason et. al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
---------------------------------------------------------------------------
Projected costs vary widely in the literature. They are expected to
decrease as manufacturing matures. Larger production volumes are
anticipated as global demand increases for fuel cell systems for HD
vehicles, which could improve economies of scale.\463\ Costs are also
anticipated to decline as durability improves, which could extend the
life of fuel cells and reduce the need for parts replacement.\464\
Burke et al. compared estimates from the literature and chose values of
$240 per kW in 2025 for a high case in their analysis, based on 1,000
heavy-duty fuel cell units produced per year, and $145 per kW for both
a low case in 2025 and a high case in 2030, based on 3,000 units
produced per year.\465\
---------------------------------------------------------------------------
\463\ Deloitte China. ``Fueling the Future of Mobility: Hydrogen
and fuel cell solutions for transportation, Volume 1''. 2020.
Available online: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/finance/deloitte-cn-fueling-the-future-of-mobility-en-200101.pdf.
\464\ Deloitte China. ``Fueling the Future of Mobility: Hydrogen
and fuel cell solutions for transportation, Volume 1''. 2020.
Available online: https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/finance/deloitte-cn-fueling-the-future-of-mobility-en-200101.pdf.
\465\ U.S. Department of Energy. ``DOE National Clean Hydrogen
Strategy and Roadmap''. Draft September 2022. Available online:
https://www.hydrogen.energy.gov/pdfs/clean-hydrogen-strategy-roadmap.pdf.
---------------------------------------------------------------------------
The interim DOE cost target for Class 8 tractor-trailer fuel stacks
is $80 per kW by 2030. Their ultimate target is $60 per kW in 2050, set
to ensure that costs are comparable to those of advanced diesel engines
and other factors. These targets are based on 100,000 units per year
production volume. They pointed to analysis that suggests that 2019
costs at a manufacturing volume of 1,000 units per year were around
$190 per kW.\466\ In BEAN model updates, ANL estimated a range based on
vehicle type of between $156 per kW and $174 per kW in 2025, and from
$65 per kW to $99 per kW by 2035.\467\
---------------------------------------------------------------------------
\466\ Marcinkoski, Jason et. al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf. https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\467\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
December 2022).
---------------------------------------------------------------------------
A Sharpe and Basma meta-study of other reports found 2025 costs
ranging from $750 per kW to $50 per kW. The authors stated that they
expect fuel cell costs to drop by about 30 percent between 2025 and
2030 due to manufacturer learning, improved materials and performance,
and economies of scale.\468\ Like the approach we took for BEV battery
costs, we averaged the 2025 cost values from the Sharpe and Basma meta-
study, averaged the 2030 values, and then linearly interpolated to get
MY 2027 values and adjusted to 2021$; we then applied the learning
curve shown in DRIA Chapter 3.2.1 to calculate MY 2028-2032 values. The
resulting fuel cell stack direct manufacturing costs are shown in Table
II-15.\469\
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\468\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation, Working Paper 2022-09 (February 2022). Available
online: https://theicct.org/publication/purchase-cost-ze-trucks-feb22/.
\469\ IRA section 13502 provides tax credits for 10 percent of
the cost of producing applicable critical materials, including those
found in fuel cells (providing that the minerals meet certain
specifications), when such components or minerals are produced in
the U.S. We did not include a detailed cost breakdown of fuel cells
quantitatively in our analysis, but the potential impact of the tax
credit on fuel cells may be significant because platinum (an
applicable critical mineral commonly used in fuel cells) is a major
contributor to the cost of fuel cells.
Table II-15--HD Fuel Cell Stack Direct Manufacturing Costs
[2021$]
----------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
----------------------------------------------------------------------------------------------------------------
$/kW.......................................... 242 223 210 200 192 185
----------------------------------------------------------------------------------------------------------------
ii. Hydrogen Fuel Tank Costs
Hydrogen storage cost projections also vary widely in the
literature. Sharpe and Basma reported costs ranging from as high as
$1,289 per kg to $375 per kg of usable hydrogen in 2025. They expect
hydrogen tank costs to drop by 21 percent between 2025 and 2030 due to
lighter weight and lower cost carbon fiber-reinforced materials,
technology improvements, and economies of scale.\470\
---------------------------------------------------------------------------
\470\ Sharpe, Ben and Hussein Basma. ``A meta-study of purchase
costs for zero-emission trucks''. The International Council on Clean
Transportation, Working Paper 2022-09 (February 2022). Available
online: https://theicct.org/publication/purchase-cost-ze-trucks-feb22/.
---------------------------------------------------------------------------
The interim DOE target for Class 8 tractor-trailers is $300 per kg
of hydrogen by 2030. Their ultimate target is $266 per kg (2016$) by
2050. They include all components necessary to support the tank and are
based on a production volume of 100,000 tanks per year. They point to
analysis that suggests that 2019 costs for 700-bar tanks at a
manufacturing volume of 1,000 tanks per year were roughly $1,200 per
kg.\471\ For reference, the Kenworth ``beta'' fuel cell truck holds
[[Page 25985]]
six 10-kg hydrogen storage tanks at 700 bar.\472\
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\471\ Marcinkoski, Jason et al. ``DOE Advanced Truck
Technologies: Subsection of the Electrified Powertrain Roadmap--
Technical Targets for Hydrogen-Fueled Long-Haul Tractor-Trailer
Trucks. October 31, 2019. Available online: https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf.
\472\ https://www.kenworth.com/media/voffdzok/ata-fuel-cell-flyer-08-25-2021-v2.pdf and https://www.greencarreports.com/news/1120765_toyota-and-kenworth-to-build-10-fuel-cell-semis-for-la-port-duty.
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Like the approach we took for battery and fuel cell stack costs, we
averaged all of the 2025 cost values in the Sharpe and Basma meta-
study, averaged all of the 2030 values, and then linearly interpolated
to determine the MY 2027 value, adjusted to 2021 dollars. We applied
the learning curve shown in DRIA Chapter 3.2.1 to calculate MY 2028-
2032 values. The hydrogen fuel tank direct manufacturing costs are
shown in Table II-16.
Table II-16--Hydrogen Fuel Tank Direct Manufacturing Costs
[2021$]
----------------------------------------------------------------------------------------------------------------
MY 2027 MY 2028 MY 2029 MY 2030 MY 2031 MY 2032
----------------------------------------------------------------------------------------------------------------
$/kg H2................................. 801 738 694 660 634 612
----------------------------------------------------------------------------------------------------------------
4. Inflation Reduction Act Tax Credits
The IRA,\473\ which was signed into law on August 16, 2022,
includes a number of provisions relevant to vehicle electrification.
There are two provisions of the IRA we included within our quantitative
analysis in HD TRUCS. First, Section 13502, ``Advanced Manufacturing
Production Credit,'' provides up to $45 per kWh tax credits for the
production and sale of battery cells and modules when such components
are produced in the United States and other qualifications are met.
Second, Section 13403, ``Qualified Commercial Clean Vehicles,''
provides for a vehicle tax credit applicable to HD vehicles if certain
qualifications are met. Beyond these two tax credits described in
sections 13403 and 13502 of the IRA, there are numerous provisions in
the IRA and the BIL \474\ that may impact HD vehicles and increase
adoption of HD ZEV technologies. These range from tax credits across
the supply chain, to grants which may help direct ZEVs to communities
most burdened by air pollution, to funding for programs to build out
electric vehicle charging infrastructure, as described in Section I of
this preamble and DRIA Chapter 1.3.2. We welcome comment on our
assessment of how the IRA will impact the heavy-duty industry, and how
EPA could consider reflecting those impacts in our assessment for
establishing the HD GHG standards under this proposal, including
comment on methods to appropriately account for these provisions in our
assessment.
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\473\ Inflation Reduction Act of 2022, Public Law 117-169, 136
Stat. 1818 (2022) (``Inflation Reduction Act'' or ``IRA''),
available at https://www.congress.gov/117/bills/hr5376/BILLS-117hr5376enr.pdf.
\474\ United States, Congress. Public Law 117-58. Infrastructure
Investment and Jobs Act of 2021. Congress.gov, www.congress.gov/bill/117th-congress/house-bill/3684/text. 117th Congress, House
Resolution 3684, passed 15 Nov. 2021.
---------------------------------------------------------------------------
Regarding the first of the two provisions, IRA section 13502,
``Advanced Manufacturing Production Credit,'' provides up to $45 per
kWh tax credits for the production and sale of battery cells (up to $35
per kWh) and modules (up to $10 per kWh) and 10 percent of the cost of
producing critical minerals such as those found in batteries, when such
components or minerals are produced in the United States and other
qualifications are met. These credits begin in CY 2023 and phase down
starting in CY 2030, ending after CY 2032. As further discussed in DRIA
Chapter 2.4.3.1, we recognize that there are currently few
manufacturing plants for HD vehicle batteries in the United States. We
expect that the industry will respond to this tax credit incentive by
building more domestic battery manufacturing capacity in the coming
years, in part due to the BIL and IRA. For example, Proterra recently
announced its first heavy-duty battery manufacturing plant in the
United States,\475\ Tesla is expanding its facilities in Nevada to
produce its Semi BEV tractor and battery cells,\476\ and Cummins has
entered into an agreement with Arizona-based Sion Power to design and
supply battery cells for commercial electric vehicle applications.\477\
In addition, DOE is funding through the BIL battery materials
processing and manufacturing projects to ``support new and expanded
commercial-scale domestic facilities to process lithium, graphite and
other battery materials, manufacture components, and demonstrate new
approaches, including manufacturing components from recycled
materials.'' \478\ Thus, we model this tax credit in HD TRUCS such that
HD BEV and FCEV manufacturers fully utilize the battery module tax
credit and gradually increase their utilization of the cell tax credit
for MY 2027-2029 until MY 2030 and beyond, when they earn 100 percent
of the available cell and module tax credits. The battery pack costs
and battery tax credits used in our analysis are shown in Table II-17.
We request comment on our approach to modeling this tax credit,
including our projection that the full value of the tax credit earned
by the manufacturer is passed through to the purchaser because market
competition would drive manufacturers to minimize their prices.
---------------------------------------------------------------------------
\475\ Proterra. ``First Proterra Powered commercial EV battery
produced at new Powered 1 battery factory''. January 12, 2023.
Available online: https://www.proterra.com/press-release/first-battery-at-powered1-factory/.
\476\ Sriram, Akash, Aditya Soni, and Hyunjoo Jin. ``Tesla plans
$3.6 bln Nevada expansion to make Semi truck, battery cells.''
Reuters. January 25, 2023. Last accessed on March 31, 2023 at
https://www.reuters.com/markets/deals/tesla-invest-over-36-bln-nevada-build-two-new-factories-2023-01-24/.
\477\ Sion Power. ``Cummins Invests in Sion Power to Develop
Licerion[supreg] Lithium Metal Battery Technology for Commercial
Electric Vehicle Applications''. November 30, 2021. Available
online: https://sionpower.com/2021/cummins-invests-in-sion-power-to-develop-licerion-lithium-metal-battery-technology-for-commercial-electric-vehicle-applications/.
\478\ U.S. Department of Energy. ``Bipartisan Infrastructure
Law: Battery Materials Processing and Battery Manufacturing &
Recycling Funding Opportunity Announcement--Factsheets''. October
19, 2022. Available online: https://www.energy.gov/sites/default/files/2022-10/DOE%20BIL%20Battery%20FOA-2678%20Selectee%20Fact%20Sheets%20-%201_2.pdf.
Table II-17--Pack-Level Battery Direct Manufacturing Costs and IRA Tax Credits in HD TRUCS
[2021$]
----------------------------------------------------------------------------------------------------------------
Model year 2027 2028 2029 2030 2031 2032
----------------------------------------------------------------------------------------------------------------
Battery Pack Cost ($/kWh)..................... 145 134 126 120 115 111
[[Page 25986]]
IRA Cell Credit ($/kWh)....................... 8.75 17.50 26.25 26.25 17.50 8.75
IRA Module Credit ($/kWh)..................... 10.00 10.00 10.00 7.50 5.00 2.50
IRA Total Battery Credit ($/kWh).............. 18.75 27.50 36.25 33.75 22.50 11.25
Battery Pack Cost Less IRA Total Battery 126.25 106.50 89.75 86.25 92.50 99.75
Credit ($/kWh)...............................
----------------------------------------------------------------------------------------------------------------
Regarding the second of the two provisions, IRA section 13403
creates a tax credit applicable to each purchase of a qualified
commercial clean vehicle. These vehicles must be on-road vehicles (or
mobile machinery) that are propelled to a significant extent by a
battery-powered electric motor. The battery must have a capacity of at
least 15 kWh (or 7 kWh if it is Class 3 or below) and must be
rechargeable from an external source of electricity. This limits the
qualified vehicles to BEVs and plug-in hybrid electric vehicles
(PHEVs). Additionally, fuel cell electric vehicles (FCEVs) are
eligible. The credit is available from calendar year (CY) 2023 through
2032, which overlaps with the model years for which we are proposing
standards (MYs 2027 through 2032), so we included the tax credit in our
calculations for each of those years in HD TRUCS.
For BEVs and FCEVs, the tax credit is equal to the lesser of: (A)
30 percent of the BEV or FCEV cost, or (B) the incremental cost of a
BEV or FCEV when compared to a comparable ICE vehicle. The limit of
this tax credit is $40,000 for Class 4-8 commercial vehicles and $7,500
for commercial vehicles Class 3 and below. For example, if a BEV costs
$350,000 and a comparable ICE vehicle costs $150,000,\479\ the tax
credit would be the lesser of: (A) 0.30 x $350,000 = $105,000 or (B)
$350,000 - $150,000 = $200,000. In this example, (A) is less than (B),
but (A) exceeds the limit of $40,000, so the tax credit would be
$40,000.
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\479\ Sharpe, B., Basma, H. ``A meta-study of purchase costs for
zero-emission trucks''. International Council on Clean
Transportation. February 17, 2022. Available online: https://theicct.org/wp-content/uploads/2022/02/purchase-cost-ze-trucks-feb22-1.pdf.
---------------------------------------------------------------------------
We included this tax credit in HD TRUCS by decreasing the
incremental upfront cost a vehicle purchaser must pay for a ZEV
compared to a comparable ICE vehicle following the process explained in
the previous paragraph. The calculation for this tax credit was done
after applying a retail price equivalent to our direct manufacturing
costs. We did not calculate the full cost of vehicles in our analysis,
instead we determined that all Class 4-8 ZEVs could be eligible for the
full $40,000 (or $7,500 for ZEVs Class 3 and below) if the incremental
cost calculated compared to a comparable ICE vehicle was greater than
that amount. In order for this determination to be true, all Class 4-8
ZEVs must cost more than $133,333 such that 30 percent of the cost is
at least $40,000 (or $25,000 and $7,500, respectively, for ZEVs Class 3
and below), which seems reasonable based on our assessment of the
literature.\480\ As in the calculation described in the previous
paragraph, both (A) and (B) are greater than the tax credit limit and
the vehicle purchaser may receive the full tax credit. The incremental
cost of a ZEV taking into account the tax credits for each vehicle
segment in MY 2027 and MY 2032 are included in DRIA Chapter 2.8.2. We
welcome comment on how we included the IRA tax credits for HD vehicles
in our assessment.
---------------------------------------------------------------------------
\480\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M.A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. April
1, 2021. Available at https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
---------------------------------------------------------------------------
5. Operating Costs
Operating costs for HD vehicles encompass a variety of costs, such
as labor, insurance, registration fees, fueling, maintenance and repair
(M&R), and other costs. For this analysis, we are primarily interested
in costs that would differ for a comparable diesel-powered ICE vehicle
and a ZEV.\481\ These operational cost differences are used to
calculate an estimated payback period in HD TRUCS. We expect fueling
costs and M&R costs to be different for ZEVs than for comparable
diesel-fueled ICE vehicles, but we do not anticipate other operating
costs, such as labor and insurance, to differ significantly, so the
following subsections focus on M&R and fueling costs. Operating costs
are averaged over a 10-year time period of the annual M&R cost and
annual fuel cost.
---------------------------------------------------------------------------
\481\ For diesel-fueled ICE vehicles, we also estimated the cost
of the diesel exhaust fluid (DEF) required for the selective
catalytic reduction aftertreatment system. See DRIA Chapter 2.3.4.1
for DEF costs.
---------------------------------------------------------------------------
i. Maintenance and Repair Costs
M&R costs contribute to the overall operating costs for HD
vehicles. To establish a baseline cost for maintenance and repair of
diesel-fueled ICE vehicles, we relied on the research compiled by
Burnham et al. and used equations found in the ANL's BEAN
model.482 483 Burnham et al. used data from Utilimarc and
the American Transportation Research Institute (ATRI) to estimate
maintenance and repair costs per mile for multiple heavy-duty vehicle
categories over time. We selected the box truck curve to represent
vocational vehicles and short-haul tractors, and the semi-tractor curve
to represent long-haul tractors.\484\ Additional details regarding this
analysis can be found in DRIA Chapter 2.3.4.2. Averaging the M&R costs
for years 0-9 yields about 67 cents per mile for vocational vehicles
and short-haul tractors and about 25 cents per mile for long-haul
tractors, after adjusting to 2021$. We welcome comment, including
additional data, on our approach and assessment of HD ICE vehicle M&R
costs.
---------------------------------------------------------------------------
\482\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M.A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. Chapter
3.5.5. April 1, 2021. Available at https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
\483\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
August 2022).
\484\ Short haul tractors and vocational vehicles are
represented by the same M&R equation because they have duty cycles
and annual VMT that are similar.
---------------------------------------------------------------------------
Data on real-world M&R costs for HD ZEVs is limited due to limited
HD ZEV technology adoption today. We expect the overall maintenance
costs to be lower for ZEVs compared to a comparable ICE vehicles for
several reasons. First, an electric powertrain has fewer moving parts
that accrue wear or need regular adjustments. Second, ZEVs do not
require fluids such as engine oil or diesel exhaust fluid (DEF), nor do
they require exhaust filters to reduce
[[Page 25987]]
particulate matter or other pollutants. Third, the per-mile rate of
brake wear is expected to be lower for ZEVs due to regenerative braking
systems. Several literature sources propose applying a scaling factor
to diesel vehicle maintenance costs to estimate ZEV maintenance
costs.485 486 487 We followed this approach and applied a
maintenance and repair cost scaling factor of 0.71 for BEVs and 0.75
for FCEVs to the maintenance and repair costs of diesel-fueled ICE
vehicles. The scaling factors are based on an analysis from Wang et al.
that estimates a future BEV heavy-duty truck would have a 29 percent
reduction, and a future FCEV heavy-duty vehicle would have a 25 percent
reduction, compared to a diesel-powered heavy-duty
vehicle.488 489 We welcome comment on our approach and these
projections.
---------------------------------------------------------------------------
\485\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M.A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. April
1, 2021. Available online: https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
\486\ Hunter, Chad, Michael Penev, Evan Reznicek, Jason
Lustbader, Alicia Birkby, and Chen Zhang. ``Spatial and Temporal
Analysis of the Total Cost of Ownership for Class 8 Tractors and
Class 4 Parcel Delivery Trucks''. National Renewable Energy Lab.
September 2021. Available online: https://www.nrel.gov/docs/fy21osti/71796.pdf.
\487\ Burke, Andrew, Marshall Miller, Anish Sinha, et. al.
``Evaluation of the Economics of Battery-Electric and Fuel Cell
Trucks and Buses: Methods, Issues, and Results''. August 1, 2022.
Available online: https://escholarship.org/uc/item/1g89p8dn.
\488\ Wang, G., Miller, M., and Fulton, L.'' Estimating
Maintenance and Repair Costs for Battery Electric and Fuel Cell
Heavy Duty Trucks, 2022. Available online: https://escholarship.org/content/qt36c08395/qt36c08395_noSplash_589098e470b036b3010eae00f3b7b618.pdf?t=r6zwjb.
\489\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M.A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. April
1, 2021. Available online: https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
---------------------------------------------------------------------------
In our payback analysis in HD TRUCS, we did not account for
potential diesel engine rebuild costs for ICE vehicles, potential
replacement battery costs for BEVs, or potential replacement fuel cell
stack costs for FCEVs because our payback analysis typically covers a
shorter period of time than the expected life of these components.
Typical battery warranties being offered by HD BEV manufacturers range
between 8 and 15 years today.\490\ A BEV battery replacement may be
practically necessary over the life of a vehicle if the battery
deteriorates to a point where the vehicle range no longer meets the
vehicle's operational needs. We believe that proper vehicle and battery
maintenance and management can extend battery life. For example,
manufacturers will utilize battery management system to maintain the
temperature of the battery \491\ as well active battery balancing to
extend the life of the battery.492 493 Likewise, pre-
conditioning has also shown to extend the life of the battery as
well.\494\ Furthermore, research suggests that battery life is expected
to improve with new batteries over time as battery chemistry and
battery charging strategies improve, such that newer MY BEVs will have
longer battery life. We request comment on this approach for both ICE
vehicles and ZEVs, in addition to data on battery and fuel stack
replacement costs, engine rebuild costs, and expected component
lifetime periods.
---------------------------------------------------------------------------
\490\ Type C BEV school bus battery warranty range five to
fifteen years according to https://www.nyapt.org/resources/Documents/WRI_ESB-Buyers-Guide_US-Market_2022.pdf. The Freightliner
electric walk-in van includes an eight year battery warranty
according to https://www.electricwalkinvan.com/wp-content/uploads/2022/05/MT50e-specifications-2022.pdf.
\491\ Basma, Hussein, Charbel Mansour, Marc Haddad, Maroun
Nemer, Pascal Stabat. ``Comprehensive energy modeling methodology
for battery electric buses''. Energy: Volume 207, 15 September 2020,
118241. Available online: https://www.sciencedirect.com/science/article/pii/S0360544220313487.
\492\ Bae, SH., Park, J.W., Lee, S.H. ``Optimal SOC Reference
Based Active Cell Balancing on a Common Energy Bus of Battery''
Available online: https://koreascience.or.kr/article/JAKO201709641401357.pdf.
\493\ Azad, F.S., Ahasan Habib, A.K.M., Rahman, A., Ahmed I.
``Active cell balancing of Li-Ion batteries using single capacitor
and single LC series resonant circuit.'' https://beei.org/index.php/EEI/article/viewFile/1944/1491.
\494\ ``How to Improve EV Battery Performance in Cold Weather''
Accessed on March 31, 2023. https://www.worktruckonline.com/10176367/how-to-improve-ev-battery-performance-in-cold-weather.
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ii. Fuel, Electricity, and Hydrogen Costs
The annual fuel cost for operating a diesel-fueled ICE vehicle is a
function of its yearly fuel consumption and the cost of diesel fuel.
The yearly fuel consumption is described in DRIA Chapter 2.3.4.3. We
used the DOE Energy Information Administration's (EIA) Annual Energy
Outlook (AEO) 2022 transportation sector reference case projection for
diesel fuel for on-road use for diesel prices.\495\ This value includes
Federal and State taxes but excludes county and local taxes. The
average annual fuel cost is averaged over a 10-year period.
---------------------------------------------------------------------------
\495\ U.S. Energy Information Administration. Annual Energy
Outlook 2022. Last accessed on 9/28/2022 at https://www.eia.gov/
outlooks/aeo/data/browser/#/?id=3-
AEO2022&cases=ref2022~highmacro~lowmacro~highprice~lowprice~highogs~l
owogs~hirencst~lorencst~aeo2019ref&sourcekey=0.
---------------------------------------------------------------------------
The annual electricity cost for operating a HD electric vehicle is
a function of the electricity price, daily energy consumption of the
vehicle, and number of operating days in a year. In HD TRUCS, we used
the DOE EIA AEO 2022 reference case commercial electricity end-use rate
projection.\496\ We selected this value instead of the transportation
end use prices in AEO because those are similar to the prices for the
residential sector, which implies they may be more relevant to light-
duty vehicle charging than commercial truck charging.
---------------------------------------------------------------------------
\496\ U.S. Department of Energy, Energy Information
Administration. Annual Energy Outlook 2022, Table 8: Electricity
Supply, Disposition, Prices, and Emissions. September 21, 2022.
Available online: https://www.eia.gov/outlooks/aeo/data/browser/#/?id=8-AEO2022&cases=ref2022&sourcekey=0.
---------------------------------------------------------------------------
For the purposes of the HD TRUCS analysis, rather than focusing on
depot hydrogen fueling infrastructure costs that would be incurred
upfront, we included infrastructure costs in our per-kilogram retail
price of hydrogen. The retail price of hydrogen is the total price of
hydrogen when it becomes available to the end user, including the costs
of production, distribution, storage, and dispensing at a fueling
station. This price per kilogram of hydrogen includes the amortization
of the station capital costs. This approach is consistent with the
method we use in HD TRUCS for ICE vehicles, where the equivalent diesel
fuel costs are included in the diesel fuel price instead of accounting
for the costs of fuel stations separately.
We acknowledge that this market is still emerging and that hydrogen
fuel providers will likely pursue a diverse range of business models.
For example, some businesses may sell hydrogen to fleets through a
negotiated contract rather than at a flat market rate on a given day.
Others may offer to absorb the infrastructure development risk for the
consumer, in exchange for the ability to sell excess hydrogen to other
customers and more quickly amortize the cost of building a fueling
station. FCEV manufacturers may offer a ``turnkey'' solution to fleets,
where they provide a vehicle with fuel as a package deal. These
uncertainties are not reflected in our hydrogen price estimates
presented in the DRIA.
As discussed in DRIA Chapter 1.3.2 and 1.8, large incentives are in
place to reduce the price of hydrogen production, particularly from
electrolytic sources. In June 2021, DOE launched a Hydrogen Shot goal
to reduce the cost of renewable hydrogen
[[Page 25988]]
production by 80 percent to $1 per kilogram in one decade.\497\ The BIL
and IRA included funding for several hydrogen programs to accelerate
progress towards the Hydrogen Shot and jumpstart the hydrogen market in
the U.S.
---------------------------------------------------------------------------
\497\ Satyapal, Sunita. ``2022 AMR Plenary Session''. U.S.
Department of Energy, Hydrogen and Fuel Cell Technologies Office.
June 6, 2022. Available online: https://www.energy.gov/sites/default/files/2022-06/hfto-amr-plenary-satyapal-2022-1.pdf.
---------------------------------------------------------------------------
For example, the BIL requires development of a National Clean
Hydrogen Strategy and Roadmap. In September 2022, DOE released a draft
of a holistic plan that shows how low-GHG hydrogen can help reduce
emissions throughout the country by about 10 percent by 2050 relative
to 2005 levels.\498\ DRIA Chapter 2.5.3.1 further discusses DOE's
National Clean Hydrogen Strategy and Roadmap.
---------------------------------------------------------------------------
\498\ U.S. Department of Energy. ``DOE National Clean Hydrogen
Strategy and Roadmap''. Draft September 2022. Available online:
https://www.hydrogen.energy.gov/pdfs/clean-hydrogen-strategy-roadmap.pdf.
---------------------------------------------------------------------------
Recent analysis from ANL using BEAN includes a hydrogen price of
$4.37 per gallon diesel equivalent (gde) in 2030,\499\ which equates to
roughly $3.92 per kg hydrogen.500 501 This analysis was
published after the IRA was passed, and reflects a lower H2 price in
2030 than was in the previous year's analysis.\502\ This price is at
the low end of the range published in DOE's ``Pathways to Commercial
Liftoff'' report on Clean Hydrogen (``Liftoff Report''), which projects
that heavy-duty road transport can expect to pay a retail price of
between $4 and $5 per kg of hydrogen in 2030 if advances in
distribution and storage are commercialized.\503\ This price
incorporates BIL and IRA incentives for hydrogen.\504\ Other DOE
estimates prior to the IRA ranged from $6-$7 per kg in 2030, inclusive
of production, delivery, and dispensing, with the range representing
uncertainty in the assumed rate of technological
progress.505 506 507
---------------------------------------------------------------------------
\499\ Islam, Ehsan Sabri, Ram Vijayagopal, Aymeric Rousseau. ``A
Comprehensive Simulation Study to Evaluate Future Vehicle Energy and
Cost Reduction Potential'', Report to the U.S. Department of Energy,
Contract ANL/ESD-22/6, October 2022. See Medium- and heavy-duty
vehicles (techno-economic analysis with BEAN). Available online:
https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
\500\ The conversion used was 1 gallon of diesel is equivalent
to 1.116 kg of hydrogen, based on a lower heating value.
\501\ Hydrogen Tools ``Energy Equivalency of Fuels (LHV)''. U.S.
Department of Energy: Pacific Northwest National Laboratory.
Available online: https://h2tools.org/hyarc/hydrogen-data/energy-equivalency-fuels-lhv.
\502\ Islam, Ehsan Sabri. Ram Vijayagopal, Ayman Moawad, Namdoo
Kim, Benjamin Dupont, Daniela Nieto Prada, Aymeric Rousseau, ``A
Detailed Vehicle Modeling & Simulation Study Quantifying Energy
Consumption and Cost Reduction of Advanced Vehicle Technologies
Through 2050,'' Report to the U.S. Department of Energy, Contract
ANL/ESD-21/10, October 2021. See previous reports and analysis:
2021. Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
\503\ U.S. Department of Energy. ``Pathways to Commercial
Liftoff: Clean Hydrogen''. March 2023. Available online: https://liftoff.energy.gov/wp-content/uploads/2023/03/20230320-Liftoff-Clean-H2-vPUB.pdf.
\504\ The Liftoff Report and draft National Strategy say that
fuel cell trucks and buses can be one of the first new sectors to
adopt hydrogen because of a higher ``willingness to pay'' for fuel
(i.e., a threshold price at which they can remain competitive)
compared to other hard-to-decarbonize sectors like chemicals and
steel.
\505\ Islam, Ehsan Sabri., Ram Vijayagopal, Ayman Moawad, Namdoo
Kim, Benjamin Dupont, Daniela Nieto Prada, Aymeric Rousseau, ``A
Detailed Vehicle Modeling & Simulation Study Quantifying Energy
Consumption and Cost Reduction of Advanced Vehicle Technologies
Through 2050,'' Report to the U.S. Department of Energy, Contract
ANL/ESD-21/10, October 2021. See previous reports and analysis:
2021. Available online: https://vms.taps.anl.gov/research-highlights/u-s-doe-vto-hfto-r-d-benefits/.
\506\ Hunter, Chad, Michael Penev, Evan Reznicek, Jason
Lustbader, Alicia Birkby, and Chen Zhang. ``Spatial and Temporal
Analysis of the Total Cost of Ownership for Class 8 Tractors and
Class 4 Parcel Delivery Trucks''. National Renewable Energy Lab.
September 2021. Available online: https://www.nrel.gov/docs/fy21osti/71796.pdf.
\507\ Ledna et al. ``Decarbonizing Medium- & Heavy-Duty On-Road
Vehicles: Zero-Emission Vehicles Cost Analysis''. U.S. Department of
Energy, National Renewable Energy Laboratory. March 2022. Available
online: https://www.nrel.gov/docs/fy22osti/82081.pdf.
---------------------------------------------------------------------------
Other available estimates explore clean hydrogen production costs
alone. For example, Rhodium Group found a hydrogen producer price of
$0.39-1.92 per kg, including the IRA hydrogen production tax credit and
assuming the use of utility-scale solar to produce hydrogen.\508\
McKinsey projected green hydrogen costs of roughly $1.30-2.30 per kg in
2030, produced using alkaline electrolyzers. Their analysis did not
mention the IRA. It showed lower costs for blue and grey hydrogen in
2030 before green hydrogen out-competes both by around 2040.\509\ An
ICCT estimate of average hydrogen production costs in 2030 is closer to
$3.10 per kg, but their analysis did not consider IRA impacts.\510\
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\508\ Larsen, John et al. ``Assessing the Climate and Clean
Energy Provisions in the Inflation Reduction Act''. Rhodium Group.
August 12, 2022. Available online: https://rhg.com/research/climate-clean-energy-inflation-reduction-act/.
\509\ Heid, Bernd et al. ``Five charts on hydrogen's role in a
net-zero future''. McKinsey Sustainability. October 25, 2022.
Available online: https://www.mckinsey.com/capabilities/sustainability/our-insights/five-charts-on-hydrogens-role-in-a-net-zero-future.
\510\ Zhou, Yuanrong, et al. ``Current and future cost of e-
kerosene in the United States and Europe''. Working Paper 2022-14:
The International Council on Clean Transportation. March 2022.
Available online: https://theicct.org/wp-content/uploads/2022/02/fuels-us-europe-current-future-cost-ekerosene-us-europe-mar22.pdf.
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According to the Hydrogen Council, increasing the scale and rate of
use of hydrogen across sectors could substantially reduce the costs of
local distribution. As trucking capacity increases and the use, size,
and density of refueling stations increases, equipment manufacturing
costs could decline. For example, they suggest that 2020 distribution
costs of about $5-6 per kg could decline by approximately 80 percent to
get to $1-1.50 per kg in 2030.\511\ A 2018 DOE document details similar
opportunities to reach $2 per kg in distribution and dispensing costs.
In addition to learning and economies of scale associated with scaled
use, they suggest that potential research and development advancements
related to the efficiency and reliability of components could help meet
related DOE price targets.\512\
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\511\ Hydrogen Council. ``Path to hydrogen competitiveness: A
cost perspective''. January 20, 2020. Available online: https://hydrogencouncil.com/wp-content/uploads/2020/01/Path-to-Hydrogen-Competitiveness_Full-Study-1.pdf.
\512\ Rustagi, Neha et al. Record 18003: ``Current Status of
Hydrogen Delivery and Dispensing Costs and Pathways to Future Cost
Reductions''. U.S. Department of Energy. December 17, 2018.
Available online: https://www.hydrogen.energy.gov/pdfs/18003_current_status_hydrogen_delivery_dispensing_costs.pdf.
---------------------------------------------------------------------------
As further explained in DRIA Chapter 2.5.3.1, for use in HD TRUCS,
we projected the future hydrogen prices shown in Table II-18 for 2027-
2030 and beyond. These values are based on ANL BEAN values and are in
line with price projections in DOE's Liftoff Report that consider the
impacts of BIL and IRA. We converted the $/kg estimates for 2025 and
2030 included in BEAN to dollar per kg by using the conversion factor
of 1 gallon of diesel is equivalent to 1.116 kg of hydrogen, based on
its lower heating value. We rounded up to the nearest $0.50 increment
given the uncertainty of projections, and then interpolated for 2027 to
2029. Prices for 2030 and beyond are held constant in BEAN and in HD
TRUCS.
[[Page 25989]]
Table II-18--Price of Hydrogen for CYs 2027-2030+
[2021$]
------------------------------------------------------------------------
2030 and
2027 2028 2029 beyond
------------------------------------------------------------------------
$/kg H2..................... 6.10 5.40 4.70 4.00
------------------------------------------------------------------------
We request comment on our approach and assessment of future fuel,
electricity, and hydrogen prices for the transportation sector.
6. Payback
After assessing the suitability of the technology and costs
associated with ZEVs, a payback calculation was performed on each of
the 101 HD TRUCS vehicles for the BEV technology and FCEV technology
that we were considering for the technology packages for each use case
for each MY in the MY 2027-2032 timeframe. The payback period was
calculated by determining the number of years that it would take for
the annual operational savings of a ZEV to offset the incremental
upfront purchase price of a BEV or FCEV (after accounting for the IRA
section 13502 battery tax credit and IRA section 13403 vehicle tax
credit as described in DRIA Chapters 2.4.3.1 and 2.4.3.5, respectively)
and charging infrastructure costs (for BEVs) when compared to
purchasing a comparable ICE vehicle. The ICE vehicle and ZEV costs
calculated include the retail price equivalent (RPE) multiplier of 1.42
to include both direct and indirect manufacturing costs, as discussed
further in DRIA Chapter 3. The operating costs include the diesel,
hydrogen or electricity costs, DEF costs, and the maintenance and
repair costs. The payback results are shown in Table 2-75 and Table 2-
76 for BEVs for MY 2027 and MY 2032, and in Table 2-77 for FCEVs for MY
2032 of DRIA Chapter 2.
F. Proposed Standards
Similar to the approach we used to support the feasibility of the
HD GHG Phase 2 vehicle CO2 emission standards, we developed
technology packages that, on average, would meet each of the proposed
standards for each regulatory subcategory of vocational vehicles and
tractors after considering the various factors described in this
section, including technology costs for manufacturers and costs to
purchasers. We applied these technology packages to nationwide
production volumes to support the proposed Phase 3 GHG vehicle
standards. The technology packages utilize the averaging portion of the
longstanding ABT program, and we project manufacturers would produce a
mix of HD vehicles that utilize ICE-powered vehicle technologies and
ZEV technologies, with specific adoption rates for each regulatory
subcategory of vocational vehicles and tractors for each MY. Note that
we have analyzed a technology pathway to support the feasibility and
appropriateness of each proposed level of stringency for each proposed
standard, but manufacturers would be able to use a combination of HD
engine or vehicle GHG-reducing technologies, including zero-emission
and ICE technologies, to meet the standards.
The proposed standards are shown in Table II-19 and Table II-20 for
vocational vehicles and Table II-21and Table II-22 for tractors. We
request comment and data on our proposal as well as comment and data
supporting more or less stringent HD vehicle GHG standards than those
proposed, as specified in Section II.H. We also request comment on
setting additional new HD vehicle GHG standards in MYs 2033 through
2035 that are more progressively stringent than the MY 2032 standards
and that either continue the approach and trajectory of the proposed
standards or utilize a different approach and trajectory that we
solicited comment on in this proposal.
The approach we used to select the proposed standards, described in
this Section II, does not specifically include accounting for ZEV
adoption rates that would result from compliance with the California
ACT program. The approach we used developed ZEV technology adoption
rates on a nationwide basis. EPA granted the California ACT waiver
request on March 30, 2023, which did not allow sufficient time for us
to consider an alternative approach for this proposal. With the
granting of the California ACT waiver, we intend to consider for the
final rule how vehicles sold to meet the ACT requirement in California
and other states that may adopt it under CAA section 177 would impact
or be accounted for in the standard setting approach described in this
Section II. For example, we may adjust our reference case to reflect
the ZEV levels projected from ACT in California and other states. We
also may consider increasing the technology adoption rates in the
technology packages and correspondingly increase the stringency of the
proposed Phase 3 emission standards to account for the incremental
difference in the projected ZEV adoption levels from the proposed Phase
3 emission standards and the adoption levels projected from ACT in
those states. We welcome comment on how to consider this ACT in our
proposed approach or in other approaches.
Table II-19--Proposed MY 2027 Through 2032+ Vocational Vehicle CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
CI light CI medium CI heavy SI light SI medium
Model year Subcategory heavy heavy heavy heavy heavy
----------------------------------------------------------------------------------------------------------------
2027............................ Urban............. 294 213 232 340 252
Multi-Purpose..... 257 190 193 299 223
Regional.......... 218 173 152 246 202
2028............................ Urban............. 275 209 228 321 248
Multi-Purpose..... 238 186 189 280 219
Regional.......... 199 169 148 227 198
2029............................ Urban............. 255 202 225 301 241
Multi-Purpose..... 218 179 186 260 212
[[Page 25990]]
Regional.......... 179 162 145 207 191
2030............................ Urban............. 238 195 200 284 234
Multi-Purpose..... 201 172 161 243 205
Regional.......... 162 155 120 190 184
2031............................ Urban............. 219 188 193 265 227
Multi-Purpose..... 182 165 154 224 198
Regional.......... 143 148 113 171 177
2032 and later.................. Urban............. 179 176 177 225 215
Multi-Purpose..... 142 153 138 184 186
Regional.......... 103 136 97 131 165
----------------------------------------------------------------------------------------------------------------
Table II-20--Proposed MY 2027 Through 2032+ Optional Custom Chassis Vocational Vehicle CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
MY 2032
Optional custom chassis vehicle category MY 2027 MY 2028 MY 2029 MY 2030 MY 2031 and later
----------------------------------------------------------------------------------------------------------------
School Bus.................................... 190 182 176 168 163 149
Other Bus..................................... 286 269 255 237 220 189
Coach Bus..................................... 205 205 205 185 164 154
Refuse Hauler................................. 253 241 232 221 212 191
Concrete Mixer................................ 259 250 240 231 224 205
Motor home.................................... 226 226 226 226 226 226
Mixed-use vehicle............................. 316 316 316 316 316 316
Emergency vehicle............................. 319 319 319 319 319 319
----------------------------------------------------------------------------------------------------------------
Table II-21--Proposed MY 2027 Through MY 2032+ Tractor CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
Class 7 all Class 8 day Class 8
Model year Roof height cab styles cab sleeper cab
----------------------------------------------------------------------------------------------------------------
2027.................................. Low Roof................ 86.6 66.1 64.1
Mid Roof................ 93.1 70.2 69.6
High Roof............... 90.0 68.1 64.3
2028.................................. Low Roof................ 84.7 64.6 64.1
Mid Roof................ 91.0 68.6 69.6
High Roof............... 88.0 66.6 64.3
2029.................................. Low Roof................ 81.8 62.4 64.1
Mid Roof................ 87.9 66.3 69.6
High Roof............... 85.0 64.3 64.3
2030.................................. Low Roof................ 77.0 58.7 57.7
Mid Roof................ 82.7 62.4 62.6
High Roof............... 80.0 60.6 57.9
2031.................................. Low Roof................ 67.3 51.4 51.3
Mid Roof................ 72.4 54.6 55.7
High Roof............... 70.0 53.0 51.4
2032 and Later........................ Low Roof................ 63.5 48.4 48.1
Mid Roof................ 68.2 51.5 52.2
High Roof............... 66.0 50.0 48.2
----------------------------------------------------------------------------------------------------------------
Table II-22--Proposed MY 2027 Through MY 2032+ Heavy-Haul Tractor CO2
Emission Standards
[Grams/ton-mile]
------------------------------------------------------------------------
CO2 emission
Model year standards
------------------------------------------------------------------------
2027.................................................... 48.3
2028.................................................... 48.3
2029.................................................... 48.3
2030.................................................... 43.0
2031.................................................... 42.5
2032 and Later.......................................... 41.1
------------------------------------------------------------------------
We are proposing new CO2 emission standards using the
regulatory subcategories we adopted in HD GHG Phase 2, as discussed in
Section II.C. As we discuss later in this subsection, the fraction of
ZEVs and fraction of ICE vehicles in the technology packages varies
across the 101 HD TRUCS vehicle types and thus in the regulatory
subcategories. We recognize there may be different regulatory
structures that could be used to reduce GHG emissions from the HD
vehicles.
[[Page 25991]]
During the development of this proposed action, EPA has heard
requests from several stakeholders that EPA consider establishing
CO2 standards for specific vehicle applications (e.g.,
school buses, urban buses, pick-up and delivery vehicles, drayage
trucks, etc.), as a complement to CO2 emission standards
that utilize the existing HD GHG Phase 2 program structure. There are
several reasons stakeholders have explained for asking EPA to consider
this approach. One reason is to target specific applications which may
be the most suited for more stringent CO2 standards at a
more rapid pace than a broader regulatory subcategory. For example, a
pick-up and delivery application may be more suitable for faster
adoption of BEV technology than the broader subcategory of medium
heavy-duty vocational vehicles. This approach could further support the
industry and marketplace focusing resources on specific applications in
the near term in response to more stringent EPA standards, rather than
potentially spreading those resources across a broader range of
products. Another reason some stakeholders suggested EPA consider an
application-specific approach would be to accelerate the deployment of
ZEVs that are concentrated in frontline communities to reduce air
pollution more quickly in those communities.
We note the current HD GHG Phase 2 program structure includes
standards at broad vehicle subcategory levels (e.g., light heavy-duty
vocational vehicles, medium heavy-duty vocational vehicles, etc.) as
well as optional CO2 emission standards for seven specific
custom chassis applications (e.g., emergency vehicles, motor homes,
cement mixers, school buses). It is important to note the suggestions
from stakeholders for EPA to establish application-specific standards
for some heavy-duty vehicles to accelerate emission reductions in the
Phase 3 program are much different than the reasons EPA established the
HD GHG Phase 2 optional custom chassis standards. EPA established the
optional custom chassis program for a number of reasons, including: a
recognition there are manufacturers who produce specialized heavy-duty
vocational vehicles where some of the technologies EPA used for the
primary program standards would be unsuited for use, concern that the
primary program drive cycles are either unrepresentative or unsuitable
for certain specialized heavy-duty vocational vehicles, concern that
some manufacturers of these specialized vocational vehicles have
limited product offerings such that the primary program's emissions
averaging is not of practical value as a compliance flexibility, and
also concern regarding the appropriateness of the primary program's
vocational vehicle standards as applied to certain specialized/custom
vocational vehicles (See 81 FR 73531 and 81 FR 73686, October 25,
2016).
Potential challenges EPA recognizes with an application-specific,
more stringent CO2 standard approach include determining
what criteria EPA would use to establish application-specific
standards, how such standards would fit in the overall Phase 3 program
structure, and the difficulty in defining some applications. For
example, a drayage truck in general can be any Class 8 tractor (both
sleeper cab and day cab) that is used to move shipping containers to
and from ports from other locations, including rail yards, shipping
terminals, or other destinations. A drayage tractor is not a unique
application nor do these tractors contain unique design features to
differentiate them from other tractors--nearly any tractor can be used
for drayage operation. Nevertheless, in consideration of potentially
targeting specific applications most suited for more stringent
CO2 standards at a more rapid pace than a broader regulatory
subcategory, EPA requests comment on a standards structure for Phase 3
which would establish unique, mandatory, application-specific standards
for some subset of heavy-duty vehicle applications. EPA requests
comment on what data, what program structure, what applications, and
what criteria EPA should consider for designing application-specific
standards. EPA also requests comment on how the application-specific
CO2 standards would interact with the broader Phase 3
program structure EPA has included in this proposal, including the
CO2 emissions averaging, banking, and trading program. For
example, if EPA were to separate these applications and apply more
stringent standards, EPA requests comment on whether emission credits
should be allowed to be averaged across the primary Phase 3 program and
the application specific standards, and if yes, what limits if any
should apply to those standards. Under this example, EPA may consider
that allowing credits to flow into an application-specific category
could undermine the reasons for establishing such a category (to
accelerate the application of technology and accelerate emission
reductions), while allowing credits generated within an application
specific category to flow into the primary program may provide
incentive for even greater reductions from the application-specific
category.
To support that the proposed standards are achievable through the
technology pathway projected in the technology packages, the proposed
CO2 standards for each subcategory were determined in two
steps giving consideration to costs, lead time, and other factors, as
described in this section and Section II.G. First, we determined the
technology packages that include ZEVs and ICE vehicles with GHG-
reducing technologies for each of the vocational vehicle and tractor
subcategories as discussed in Section II.F.1. Then we determined the
numeric level of the proposed standards as discussed in Sections II.F.2
and II.F.3.
1. Technology Adoption Rates in the Technology Packages
We based the proposed standards on technology packages that include
both ICE vehicle and ZEV technologies. In our analysis, the ICE
vehicles include a suite of technologies that represent a vehicle that
meets the existing MY 2027 Phase 2 CO2 emission standards.
These technologies exist today and continue to evolve to improve the
efficiency of the engine, transmission, drivetrain, aerodynamics, and
tire rolling resistance in HD vehicles and therefore reduce their
CO2 emissions. There also may be opportunity for further
adoption of these Phase 2 ICE technologies beyond the adoption rates
used in the HD GHG Phase 2 rule. In addition, the heavy-duty industry
continues to develop CO2-reducing technologies such as
hybrid powertrains and H2-ICE powered vehicles.
In the transportation sector, new technology adoption rates often
follow an S-shape. As discussed in the preamble to the HD GHG Phase 2
final rule, the adoption rates for a specific technology are initially
slow, followed by a rapid adoption period, then leveling off as the
market saturates, and not always at 100 percent.\513\ For this
proposal, we developed a method to project adoption rates of BEVs and
FCEVs in the HD vehicle market after considering methods in the
literature. Our adoption function, and methods considered and explored
in the formulation of the method used in this proposal, are described
in DRIA Chapter 2.7.9. As stated there, given information currently
available and our experience with the HD vehicle industry, when
purchasing a new vehicle, we believe that the payback period is the
most
[[Page 25992]]
relevant metric to determine adoption rates in the HD vehicle industry.
---------------------------------------------------------------------------
\513\ 81 FR 73558, Oct 25, 2016.
---------------------------------------------------------------------------
The ZEV adoption rate schedule, shown in Table II-23, shows that
when the payback is immediate, we project up to 80 percent of a
manufacturer's fleet to be ZEV, with diminishing adoption as the
payback period increases.\514\ The schedule was used to assign ZEV
adoption rates to each of the 101 HD TRUCS vehicle types based on its
payback period for MYs 2027 and 2032.
---------------------------------------------------------------------------
\514\ See DRIA Chapter 2.7.9 for additional information on the
development of the adoption rate schedule for the technology
packages for the proposed standards.
---------------------------------------------------------------------------
We phased in the proposed standards gradually between MYs 2027 and
2032 to address potential lead time concerns associated with
feasibility for manufacturers to deploy ZEV technologies that include
consideration of time necessary to ramp up battery production,
including the need to increase the availability of critical raw
materials and expand battery production facilities, as discussed in
Section II.D.2.ii. We also phased in the proposed standards recognizing
that it will take time for installation of EVSE by the BEV purchasers.
We project BEV adoption as early as MY 2027, and we project adoption of
FCEVs in the technology packages starting in MY 2030 for select
applications that travel longer distances and/or carry heavier loads
(i.e., coach buses, heavy-haul tractors, sleeper cab tractors, and day
cab tractors). There has been only limited development of FCEVs for the
HD market to date, therefore our assessment is that it would be
appropriate to provide manufacturers with additional lead time to
design, develop, and manufacture FCEV models, but that it would be
feasible by MY 2030. With substantial Federal investment in low-GHG
hydrogen production (see DRIA Chapter 1.8.2), we anticipate that the
price of hydrogen fuel could drop enough by 2030 to make HD FCEVs cost-
competitive with comparable ICE vehicles for some duty cycles. We also
note that the hydrogen infrastructure is expected to need additional
time to further develop, as discussed in greater detail in DRIA Chapter
1.8, but we expect the refueling needs can be met by MY 2030. We also
recognize the impact regulations can have on technology and recharging/
refueling infrastructure development and deployment. Thus we request
comment and data on our proposed adoption rate, including schedule and
methods. We also request comment and data to support other adoption
rate schedules; see also Section II.H.
Table II-23--Adoption Rate Schedule in HD TRUCS
------------------------------------------------------------------------
MY 2032
MY 2027 adoption rates
Payback (yr) adoption rates for BEVs and
for BEVs (%) FCEVs (%)
------------------------------------------------------------------------
<0...................................... 80 80
0-1..................................... 55 55
1-2..................................... 32 45
2-4..................................... 18 35
4-7..................................... 13 25
7-10.................................... 10 20
10-15................................... 5 15
>15..................................... 0 5
------------------------------------------------------------------------
We applied an additional constraint within HD TRUCS that limited
the maximum penetration rate to 80 percent for any given vehicle type.
This conservative limit was developed after consideration of the actual
needs of the purchasers related to two primary areas of our analysis.
First, this 80 percent volume limit takes into account that we sized
the batteries, power electronics, e-motors, and infrastructure for each
vehicle type based on the 90th percentile of the average VMT. We
utilize this technical assessment approach because we do not expect
heavy-duty OEMs to design ZEV models for the 100th percentile VMT daily
use case for vehicle applications, as this could significantly increase
the ZEV powertrain size, weight, and costs for a ZEV application for
all users, when only a relatively small part of the market would need
such capabilities. Therefore, the ZEVs we analyzed and have used for
the feasibility and cost projections for this proposal are likely not
appropriate for 100 percent of the vehicle applications in the real-
world. Our second consideration for including an 80 percent volume
limit for ZEVs is that we recognize there is a wide variety of real-
world operation even for the same type of vehicle. For example, some
owners may not have the ability to install charging infrastructure at
their facility, or some vehicles may need to be operational 24 hours a
day. Under our proposed standards, ICE vehicles would continue to be
available to address these specific vehicle applications. We request
comment, data, and analysis on both of these considerations and our use
of an 80 percent volume limit. Our request for comment includes a
request for data to inform an assessment of the distribution of daily
miles traveled and the distribution of the number of hours available
daily to charge for each of the vehicle types that we could use to
update a constraint like this in the final rulemaking analysis.
After the technology assessment, as described in Section II.D.4 and
DRIA Chapter 2, and payback analysis, as described in Section II.E.6
and DRIA Chapter 2.8.2, EPA determined the ICE vehicle and ZEV adoption
rates for each regulatory subcategory. We first determined the ZEV
adoption rates projected for each of the 101 vehicle types for MYs 2027
and 2032, which can be found in DRIA Chapter 2.8.3.1. We then
aggregated the projected ZEV adoption rates for the specific vehicle
types into their respective regulatory subcategories relative to the
vehicle's sales weighting, as described in DRIA Chapter 2.9.1. The
resulting projected ZEV adoption rates (shown in Table II-24) and
projected ICE vehicle adoption rates that achieve a level of
CO2 emissions performance equal to the existing MY 2027
emission standards (shown in Table II-21) were built into our
technology packages. We request comment and data on our projected
adoption rates in the technology packages as well as data supporting
higher or lower adoption rates than the projected levels. We also
request comment on projecting adoption rates out through MY 2035.
Table II-24--Projected ZEV Adoption Rates for MYs 2027-2032 Technology Packages
----------------------------------------------------------------------------------------------------------------
Regulatory subcategory MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) MY 2032 (%)
----------------------------------------------------------------------------------------------------------------
LHD Vocational.................... 22 28 34 39 45 57
MHD Vocational.................... 19 21 24 27 30 35
HHD Vocational.................... 16 18 19 30 33 40
MHD All Cab and HHD Day Cab 10 12 15 20 30 34
Tractors.........................
Sleeper Cab Tractors.............. 0 0 0 10 20 25
Heavy Haul Tractors............... 0 0 0 11 12 15
[[Page 25993]]
Optional Custom Chassis: School 30 33 35 38 40 45
Bus..............................
Optional Custom Chassis: Other Bus 0 6 11 17 23 34
Optional Custom Chassis: Coach Bus 0 0 0 10 20 25
\515\............................
Optional Custom Chassis: Refuse 15 19 22 26 29 36
Hauler...........................
Optional Custom Chassis: Concrete 18 21 24 27 29 35
Mixer............................
Optional Custom Chassis: Emergency 0 0 0 0 0 0
Vehicles.........................
Optional Custom Chassis: 0 0 0 0 0 0
Recreational Vehicles............
Optional Custom Chassis: Mixed Use 0 0 0 0 0 0
----------------------------------------------------------------------------------------------------------------
Table II-25--Projected Adoption Rates for MYs 2027-2032 ICE Vehicles With CO2-Reducing Technologies in the
Technology Packages
----------------------------------------------------------------------------------------------------------------
Regulatory subcategory MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) MY 2032 (%)
----------------------------------------------------------------------------------------------------------------
LHD Vocational.................... 78 72 66 61 55 43
MHD Vocational.................... 81 79 76 73 70 65
HHD Vocational.................... 84 82 81 70 67 60
MHD All Cab and HHD Day Cab 90 88 85 80 70 66
Tractors.........................
Sleeper Cab Tractors.............. 100 100 100 90 80 75
Heavy Haul Tractors............... 100 100 100 89 88 85
Optional Custom Chassis: School 70 67 65 62 60 55
Bus..............................
Optional Custom Chassis: Other Bus 100 94 89 83 77 66
Optional Custom Chassis: Coach Bus 100 100 100 90 80 75
\516\............................
Optional Custom Chassis: Refuse 85 81 78 74 71 64
Hauler...........................
Optional Custom Chassis: Concrete 82 79 76 73 71 65
Mixer............................
Optional Custom Chassis: Emergency 100 100 100 100 100 100
Vehicles.........................
Optional Custom Chassis: 100 100 100 100 100 100
Recreational Vehicles............
Optional Custom Chassis: Mixed Use 100 100 100 100 100 100
----------------------------------------------------------------------------------------------------------------
2. Calculation of the Proposed Tractor Standards
---------------------------------------------------------------------------
\515\ We are proposing to use the same adoption rates projected
for sleeper cab tractors, which are also projected to be FCEVs in
MYs 2030-2032.
\516\ We are proposing to use the same adoption rates projected
for sleeper cab tractors, which are also projected to be FCEVs in
MYs 2030-2032.
---------------------------------------------------------------------------
The proposed CO2 emission standards for the tractor
subcategories are calculated by determining the CO2
emissions from a technology package that consists of both ICE-powered
vehicles and ZEVs. The projected fraction of ZEVs that emit zero grams
CO2/ton-mile at the tailpipe are shown in Table II-24. The
remaining fraction of vehicles in the technology package are ICE-
powered vehicles that include the technologies listed in Table II-1
(reflecting the GEM inputs for the individual technologies that make up
the technology packages that meets the existing MY 2027 CO2
tractor emission standards). Thus, in the technology packages, the ICE-
powered vehicles emit at the applicable existing MY 2027 CO2
emission standards, as shown in Table II-26. We request comment on ICE
vehicle technologies that could support more stringent standards than
those proposed.
The proposed CO2 emission standards for each model year
are calculated by multiplying the fraction of ICE-powered vehicles in
each technology package by the applicable existing MY 2027
CO2 emission standards. The proposed standards are presented
in Section II.F.
Table II-26--Existing MY 2027 and Later Tractor CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
Class 7 All Class 8 Day Class 8
cab styles cab Sleeper cab Heavy-haul
----------------------------------------------------------------------------------------------------------------
Low Roof........................................ 96.2 73.4 64.1 48.3
Mid Roof........................................ 103.4 78.0 69.6
High Roof....................................... 100.0 75.7 64.3
----------------------------------------------------------------------------------------------------------------
3. Calculation of the Proposed Standards for Vocational Vehicles
The proposed CO2 emission standards for the vocational
vehicles regulatory subcategories are calculated by determining the
CO2 emissions from a technology package that consists of
both ICE-powered vehicles and ZEVs. The projected fraction of ZEVs that
emit zero grams CO2/ton-mile at the tailpipe are shown in
Table II-24. The remaining fraction of vehicles in the technology
package are ICE-powered vehicles that include the technologies listed
in Table II-2 (reflecting the GEM inputs for the individual
technologies that make up the technology packages that meets the
existing MY 2027 CO2 vocational vehicles emission
standards). We request comment on ICE vehicle technologies that could
support more stringent standards than those proposed.
[[Page 25994]]
As discussed in Section II.C, vocational vehicle CO2
emission standards are subdivided by weight class, SI-powered or CI-
powered vehicles, and by operation. There are a total of 15 different
vocational vehicle standards in the primary program for each model
year, in addition to the optional custom chassis standards. The
existing MY 2027 vocational vehicle emission standards are shown in
Table II-27 (which, like tractors, are what the ICE-powered vehicles
emit at in the proposed technology packages). The HD GHG Phase 2
structure enables the technologies that perform best during urban
driving or the technologies that perform best at highway driving to
each be properly recognized over the appropriate drive cycles. The HD
GHG Phase 2 structure was developed recognizing that there is not a
single package of engine, transmission, and driveline technologies that
is suitable for all ICE-powered vocational vehicle applications. In
this proposal, we are continuing the current approach of deeming
tailpipe emissions of regulated GHG pollutants (including
CO2) to be zero from electric vehicles and hydrogen fuel
cell vehicles.\517\ Therefore, the need to recognize the variety in
vocational vehicle CO2 emissions may no longer be necessary
for ZEVs because ZEVs are deemed to have zero CO2 emissions.
Similarly, the existing SI and CI distinction within vocational vehicle
regulatory subcategory structure is not optimal for vocational ZEVs
because they cannot be technically described as either SI-powered or
CI-powered.
---------------------------------------------------------------------------
\517\ See 40 CFR 1037.150(f) for our proposed interim provision
that CO2 emissions would be deemed to be zero, with no
CO2-related testing, for BEVs, FCEVs, and vehicles
powered by H2-ICE that solely use hydrogen fuel.
Table II-27--Existing MY 2027 and Later Vocational Vehicle CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
CI light CI medium CI heavy SI light SI medium
heavy heavy heavy heavy heavy
----------------------------------------------------------------------------------------------------------------
Urban.......................................... 367 258 269 413 297
Multi-Purpose.................................. 330 235 230 372 268
Regional....................................... 291 218 189 319 247
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: School Bus............ 271
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Other Bus............. 286
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Coach Bus............. 205
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Refuse Hauler......... 298
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Concrete Mixer........ 316
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Motor Home............ 226
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Mixed-Use Vehicle..... 316
----------------------------------------------------------------------------------------------------------------
Optional Custom Chassis: Emergency Vehicle..... 319
----------------------------------------------------------------------------------------------------------------
Also discussed in Section II.C, the vehicle ABT program allows
credits to exchange with all vehicles within a weight class. ABT
CO2 emission credits are determined using the equation in 40
CFR 1037.705. The credits are calculated based on the difference
between the applicable standard for the vehicle and the vehicle's
family emission limit multiplied by the vehicle's regulatory payload
and useful life. For example, as shown in Table II-28, using the
existing light heavy-duty vocational vehicle MY 2027 CO2
emission standards, the amount of credit a ZEV would earn varies
between 124 Mg and 177 Mg, depending on the regulatory subcategory it
would be certified to. We recognize that in many cases it may not be
clear to the manufacturer whether to certify the vocational ZEV to a SI
or CI regulatory subcategory, i.e. for the manufacturer to know whether
the ZEV was purchased in lieu of a comparable CI-powered or SI-powered
vehicle. Furthermore, as just discussed, because ZEVs have zero
CO2vehicle exhaust emissions the programmatic basis for
requiring the manufacturer to differentiate the ZEVs by operation to
appropriately account for the variety of driveline configurations would
not exist, though the amount of credit the ZEV would earn would depend
on the regulatory subcategory selected for certification. In short, we
recognize the difficulties in, and consequences of, determining which
of the regulatory subcategories to which a ZEV should be certified
under the existing HD GHG Phase 2 emission standards' structure for
vocational vehicles. To address this concern, we are proposing a two-
step approach. First, we propose to revise the ABT credit calculation
regulations; this change would begin in MY 2027. Second, we derived the
proposed MY 2027 and later standards accounting for the proposed
changes to the ABT credit calculations. Note that BEVs, FCEVs, and H2-
ICE vehicles would still be able to be certified to the vocational
vehicle urban, multi-purpose, or regional standards or to the
applicable optional custom chassis standards.
[[Page 25995]]
Table II--28 Example CO2 Emission Credit Calculations for Light Heavy-Duty (LHD) BEV/FCEVs by Regulatory Subcategory Based Off the Existing MY 2027
standards
--------------------------------------------------------------------------------------------------------------------------------------------------------
SI LHD multi- SI LHD CI LHD multi- CI LHD
SI LHD urban purpose regional CI LHD urban purpose regional
--------------------------------------------------------------------------------------------------------------------------------------------------------
Existing MY 2027 Standard (gCO2/ton-mile)............... 413 372 319 367 330 291
CO2 credit per BEV or FCEV (Mg)......................... 177 159 136 157 141 124
--------------------------------------------------------------------------------------------------------------------------------------------------------
EPA proposes to revise the definition of the variable ``Std'' in 40
CFR 1037.705 to establish a common reference emission standard for
vocational vehicles with tailpipe CO2 emissions deemed to be
zero (i.e., BEVs, FCEVs, and vehicles with engines fueled with pure
hydrogen).\518\ Beginning in MY 2027, manufacturers would use the
applicable Compression-Ignition Multi-Purpose (CI MP) standard for
their vehicle's corresponding weight class when calculating ABT
emission credits for vocational vehicles with tailpipe CO2
emissions deemed to be zero.\519\ We selected the CI MP standard
because it is the regulatory subcategory with the highest production
volume in MY 2021. We also recognize a need to balance two different
timing considerations concerning the potential impacts of this proposed
change. First, prior to the effective date of this proposed change,
there is a potential for manufacturers producing BEVs, FCEVs, and
certain H2-ICE vehicles to generate larger credits than they would
after this change, depending on the vocational vehicle subcategory to
which a vehicle is certified. Second, we recognize that manufacturers
develop their emissions compliance plans several years in advance to
manage their R&D and manufacturing investments. After taking these into
account, we propose that this regulation revision become effective
beginning in MY 2027 to provide manufacturers with sufficient time to
adjust their production plans, if necessary. We request comment on this
proposed revision.
---------------------------------------------------------------------------
\518\ See the proposed updates to 40 CFR 1037.150(f).
\519\ See 40 CFR 1037.105 for the compression-ignition multi-
purpose CO2 standards.
---------------------------------------------------------------------------
Taking the proposed change to the ZEV ABT credit calculation into
account, if we calculated the proposed standards by multiplying the
fraction of ICE-powered vehicles in the technology package (by model
year) by the applicable existing MY 2027 CO2 emission
standards, like we did for tractors, then this would lead to a scenario
where it would take different levels of ZEV adoption rates to meet the
proposed standards in each regulatory subcategory than we included in
our assessment. Therefore, we used an alternate approach that maintains
the same level of ZEV adoption rates in each regulatory subcategory
within a weight class, taking the proposed change to the ZEV ABT credit
calculation into account. The equation for calculating the proposed MY
2032 vocational vehicle standards is shown in Equation II-1. This
equation is used to calculate the proposed standards for each
vocational vehicle regulatory subcategory, using the existing MY 2027
CI MP standard for each corresponding weight class (LH, MH, HH).
Equation II-2 through Equation II-4 show how the proposed Equation II-1
would be used for each regulatory subcategory for an example model year
(MY 2032). The existing MY 2027 standards can be found in Table II-27,
and the projected ZEV adoption rates by model year are in Table II-24.
The same equations were used for the proposed MY 2027 through 2031
standards but replacing the MY 2032 Standards and ZEV adoption rates
with values for the specific model year. The results of the
calculations for the MY 2032 LHD vocational vehicles are shown in Table
II-29. The calculations for the other model years and vocational
vehicle subcategories are shown in DRIA Chapter 2.9.
Equation II-1: Proposed Vocational Vehicle Standard Calculation
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat-(MY 2027 Existing CI MP StdRegSubcat
* MY 2032 ZEV%)
Equation II-2: Proposed Vocational Vehicle Standard Calculation Light
Heavy-Duty Regulatory Subcategories for MY 2032
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat-(330 g/mi * 57%)
Equation II-3: Proposed Vocational Vehicle Standard Calculation Medium
Heavy-Duty Regulatory Subcategories for MY 2032
MY 2032 StdRegSubcat = Existing 2027
StdRegSubcat-(235 g/mi * 35%)
Equation II-4: Proposed Vocational Vehicle Standard Calculation Heavy
Heavy-Duty Regulatory Subcategories for MY 2032
MY 2032 StdRegSubcat = Existing 2027 StdRegSubcat
- (230 g/mi * 40%)
Table II-29--Calculations of the Proposed MY 2032 CO2 Emission Standards for Light Heavy-Duty (LHD) Vocational Vehicles
--------------------------------------------------------------------------------------------------------------------------------------------------------
SI LHD multi- SI LHD CI LHD multi- CI LHD
SI LHD urban purpose regional CI LHD urban purpose regional
--------------------------------------------------------------------------------------------------------------------------------------------------------
Existing MY 2027 Standard (gCO2/ton-mile)............... 413 372 319 367 330 291
ZEV Adoption Rate in Technology Package................. 57% 57% 57% 57% 57% 57%
Proposed CO2 Emission Standard (gCO2/ton-mile).......... 225 184 131 179 142 103
--------------------------------------------------------------------------------------------------------------------------------------------------------
The calculations for the other model years and vocational vehicle
subcategories are shown in DRIA Chapter 2.9. We welcome comment on this
approach to taking the proposed change to the ZEV ABT credit
[[Page 25996]]
calculation into account in setting vocational vehicle standards. We
also request comment alternatively on using the same approach for
vocational vehicles as we are proposing for tractors (see Section
II.F.2).
After considering the potential concerns with ZEVs fitting into the
existing HD GHG Phase 2 vocational vehicle regulatory subcategories
structure, we are proposing to maintain the existing HD GHG Phase 2
vocational vehicle regulatory subcategories with the proposed changes
noted in this section. We request comment on possible alternative
vocational vehicle regulatory subcategory structures, such as reducing
the number of vocational vehicle subcategories to only include the
Multi-Purpose standards in each weight class, and/or maintaining Urban,
Multipurpose, and Regional but combining SI and CI into a standard for
each weight class.
The HD GHG Phase 2 program includes optional custom chassis
emission standards for eight specific vehicle types. Those vehicle
types may either meet the primary vocational vehicle program standards
or, at the vehicle manufacturer's option, they may comply with these
optional standards. The existing optional custom chassis standards are
numerically less stringent than the primary HD GHG Phase 2 vocational
vehicle standards, but the ABT program is more restrictive for vehicles
certified to these optional standards. Banking and trading of credits
is not permitted, with the exception that small businesses that may use
traded credits to comply. Averaging is only allowed within each
subcategory for vehicles certified to these optional standards. If a
manufacturer wishes to generate tradeable credits from the production
of these vehicles, they may certify them to the primary vocational
vehicle standards.
In this action, we are proposing to establish more stringent
standards for several, but not all, of these optional custom chassis
subcategories. We are proposing revised MY 2027 emission standards and
new MY 2028 through MY 2032 and later emission standards for the school
bus, other bus, coach bus, refuse hauler, and concrete mixer optional
custom chassis regulatory subcategories. We are not proposing any
changes to the existing ABT program restrictions for the optional
custom chassis regulatory subcategories. Because vehicles certified to
the optional custom chassis standards would continue to have restricted
credit use and can only be used for averaging within a specific custom
chassis regulatory subcategory, we do not have the same potential
credit concern as we do for the primary vocational vehicle standards.
Therefore, we determined the proposed optional custom chassis emission
standards by multiplying the fraction of ICE-powered vehicles in the
technology package (by model year) by the applicable existing MY 2027
CO2 emission standards, like we did for determining the
proposed tractor emission standards.
We are not proposing new standards for motor homes certified to the
optional custom chassis regulatory subcategory because of the projected
impact of the weight of batteries in BEVs in the MYs 2027-2032, as
described in DRIA Chapter 2.8.1. Furthermore, we also are not proposing
new standards for emergency vehicles certified to the optional custom
chassis regulatory subcategory due to our assessment that these
vehicles have unpredictable operational requirements and may have
limited access to recharging facilities while handling emergency
situations in the MYs 2027-2032 timeframe. Finally, we are not
proposing new standards for mixed-use vehicle optional custom chassis
regulatory subcategory because these vehicles are designed to work
inherently in an off-road environment (such as hazardous material
equipment or off-road drill equipment) or be designed to operate at low
speeds such that it is unsuitable for normal highway operation and
therefore may have limited access to on-site depot or public charging
facilities in the MYs 2027-2032 timeframe.\520\ We do not have concerns
that manufacturers could inappropriately circumvent the proposed
vocational vehicle standards or proposed optional custom chassis
standards because vocational vehicles are built to serve a purpose. For
example, a manufacturer cannot certify a box truck to the emergency
vehicle custom chassis standards. We request comment on specific
considerations and impacts the proposed standards would have on
vehicles certified to these optional custom chassis standards. We also
request comment and data regarding the potential for more stringent GHG
standards for the motor homes, emergency vehicles, or mixed-use
vehicles optional custom chassis regulatory subcategories in this time
frame.
---------------------------------------------------------------------------
\520\ Mixed-use vehicles must meet the criteria as described in
40 CFR 1037.105(h)(1), 1037.631(a)(1), and 1037.631(a)(2).
---------------------------------------------------------------------------
4. Summary of Costs To Meet the Proposed Emission Standards
We based the proposed standards on technology packages that include
both ICE vehicle and ZEV technologies. In our analysis, the ICE
vehicles include a suite of technologies that represent a vehicle that
meets the existing MY 2027 Phase 2 CO2 emission standards.
We accounted for these technology costs as part of the HD GHG Phase 2
final rule. Therefore, our technology costs for the ICE vehicles are
considered to be $0 because we did not add additional CO2-
reducing technologies to the ICE vehicles beyond those in the baseline
vehicle. The incremental cost of a heavy-duty ZEV is the marginal cost
of ZEV powertrain components compared to ICE powertrain components on a
comparable ICE vehicle. This includes the removal of the associated
costs of ICE-specific components from the baseline vehicle and the
addition of the ZEV components and associated costs. DRIA Chapter 2.3.2
and 2.4.3 includes the ICE powertrain and BEV powertrain cost estimates
for each of the 101 HD vehicle types. DRIA Chapter 2.5.2 includes the
FCEV powertrain cost projections for the coach buses, heavy-haul
tractors, sleeper cab tractors, and day cab tractors.
i. Manufacturer Costs
Table II-30 and Table II-31 show the ZEV technology costs for
manufacturers relative to the reference case described in Section
V.A.1, including the direct manufacturing costs that reflect learning
effects, the indirect costs, and the IRA section 13502 Advanced
Manufacturing Production Credit, on average aggregated by regulatory
group for MYs 2027 and 2032, respectively.\521\ The incremental ZEV
adoption rate reflects the difference between the ZEV adoption rates in
the technology packages that support our proposed standards and the
reference case. As shown in Table II-30 and Table II-31, we project
that some vocational vehicle types will achieve technology cost parity
between comparable ICE vehicles and ZEVs for manufacturers by MY 2032.
These vehicles in our analysis include school buses and single unit
trucks (which include vehicles such as delivery trucks). Our analysis
is consistent with other studies. For example, an EDF/Roush study found
that by MY 2027, BEV transit buses, school buses, delivery vans, and
refuse haulers would each cost less upfront
[[Page 25997]]
than a comparable ICE vehicle.\522\ ICCT similarly found that
``although zero-emission trucks are more expensive in the near-term
than their diesel equivalents, electric trucks will be less expensive
than diesel in the 2025-2030 time frame, due to declining costs of
batteries and electric motors as well as increasing diesel truck costs
due to emission standards compliance.'' \523\ These studies were
developed prior to passage of the IRA, and therefore we would expect
the cost comparisons to be even more favorable after considering the
IRA provisions. For example, the Rocky Mountain Institute found that
because of the IRA, the TCO of electric trucks will be lower than the
TCO of comparable diesel trucks about five years faster than without
the IRA. They expect cost parity as soon as 2023 for urban and regional
duty cycles that travel up to 250 miles and 2027 for long-hauls that
travel over 250 miles.\524\
---------------------------------------------------------------------------
\521\ Indirect costs are described in detail in Section IV.B.2.
\522\ Nair, Vishnu; Sawyer Stone; Gary Rogers; Sajit Pillai;
Roush Industries, Inc. ``Technical Review: Medium and Heavy Duty
Electrification Costs for MY 2027-2030.'' February 2022. Page 18.
Last accessed on February 9, 2023 at https://blogs.edf.org/climate411/files/2022/02/EDF-MDHD-Electrification-v1.6_20220209.pdf.
\523\ Hall, Dale and Nic Lutsey. ``Estimating the Infrastructure
Needs and Costs for the Launch of Zero-Emission Trucks.'' February
2019. Page 4. Last accessed on February 9, 2023 at https://theicct.org/wp-content/uploads/2021/06/ICCT_EV_HDVs_Infrastructure_20190809.pdf.
\524\ Kahn, Ari, et al. ``The Inflation Reduction Act Will Help
Electrify Heavy-Duty Trucking''. Rocky Mountain Institute. August
25, 2022. Available online: https://rmi.org/inflation-reduction-act-will-help-electrify-heavy-duty-trucking/.
Table II-30--Manufacturer Costs To Meet the Proposed MY 2027 Standards Relative to the Reference Case
[2021$]
----------------------------------------------------------------------------------------------------------------
Incremental
ZEV adoption Per-ZEV Fleet-average
Regulatory group rate in manufacturer per-vehicle
technology RPE on average manufacturer
package (%) RPE
----------------------------------------------------------------------------------------------------------------
LHD Vocational.................................................. 18 $1,750 $323
MHD Vocational.................................................. 15 15,816 2,411
HHD Vocational.................................................. 12 -505 -62
Day Cab Tractors................................................ 8 64,121 5,187
Sleeper Cab Tractors............................................ 0 N/A 0
----------------------------------------------------------------------------------------------------------------
Table II-31--Manufacturer Costs To Meet the Proposed MY 2032 Standards Relative to the Reference Case
[2021$]
----------------------------------------------------------------------------------------------------------------
Incremental
ZEV adoption Per-ZEV Fleet-average
Regulatory group rate in manufacturer per-vehicle
technology RPE on average manufacturer
package (%) RPE
----------------------------------------------------------------------------------------------------------------
LHD Vocational.................................................. 45 -$9,515 -$4,326
MHD Vocational.................................................. 24 1,358 326
HHD Vocational.................................................. 28 8,146 2,300
Day Cab Tractors................................................ 30 26,364 8,013
Sleeper Cab Tractors............................................ 21 54,712 11,445
----------------------------------------------------------------------------------------------------------------
i. Purchaser Costs
We also evaluated the costs of the proposed standards for
purchasers on average by regulatory group, as shown in Table II-32 and
Table II-33. Our assessment of the upfront purchaser costs include the
incremental cost of a ZEV relative to a comparable ICE vehicle after
accounting for the two IRA tax credits (IRA section 13502, ``Advanced
Manufacturing Production Credit,'' and IRA section 13403, ``Qualified
Commercial Clean Vehicles'') and the associated EVSE costs, if
applicable. We also assessed the incremental annual operating savings
of a ZEV relative to a comparable ICE vehicle. The payback periods
shown reflect the number of years it would take for the annual
operating savings to offset the increase in total upfront costs for the
purchaser.
Table II-32--MY 2027 Purchaser Per-ZEV Upfront Costs, Operating Costs, and Payback Period
[2021$]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Total Annual
Adoption rate Incremental incremental incremental Payback period
Regulatory group in technology per-ZEV RPE EVSE costs Per- upfront per- operating (year) on
package (%) cost on ZEV on average ZEV costs on costs on average
average average average
--------------------------------------------------------------------------------------------------------------------------------------------------------
LHD Vocational.......................................... 22 -$1,733 $10,562 $8,828 -$4,474 3
MHD Vocational.......................................... 19 482 14,229 14,711 -5,194 3
[[Page 25998]]
HHD Vocational.......................................... 16 -9,531 19,756 10,225 -4,783 3
Day Cab Tractors........................................ 10 24,121 37,682 61,803 -7,275 8
Sleeper Cab Tractors.................................... 0 N/A N/A N/A N/A N/A
--------------------------------------------------------------------------------------------------------------------------------------------------------
Note: The average costs represent the average across the regulatory group, for example the first row represents the average across all Light Heavy-Duty
vocational vehicles.
Table II-33--MY 2032 Purchaser Per-ZEV Upfront Costs, Operating Costs, and Payback Period
[2021$]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Total Annual
Adoption rate Incremental incremental incremental Payback period
Regulatory group in technology per-ZEV RPE EVSE costs Per- upfront per- operating (year) on
package (%) cost on ZEV on average ZEV costs on costs on average
average average average
--------------------------------------------------------------------------------------------------------------------------------------------------------
LHD Vocational.......................................... 57 -$9,608 $10,552 $944 -$4,043 1
MHD Vocational.......................................... 35 -2,907 14,312 11,405 -5,397 3
HHD Vocational.......................................... 40 -8,528 17,233 8,705 -7,436 2
Day Cab Tractors........................................ 34 582 16,753 17,335 -6,791 3
Sleeper Cab Tractors.................................... 25 14,712 0 14,712 -2,290 7
--------------------------------------------------------------------------------------------------------------------------------------------------------
As shown in Table II-33, under our proposal we estimate that the
average upfront cost per vehicle to purchase a new MY 2032 vocational
ZEV and associated EVSE compared to a comparable ICE vehicle (after
accounting for two IRA tax credits, IRA section 13502, ``Advanced
Manufacturing Production Credit,'' and IRA section 13403, ``Qualified
Commercial Clean Vehicles''), would be offset by operational costs
(i.e., savings that come from the lower costs to operate, maintain, and
repair ZEV technologies), such that we expect the upfront cost increase
would be recouped due to operating savings in one to three years, on
average for vocational vehicles. For a new MY 2032 day cab tractor ZEV
and associated EVSE, under our proposal we estimate the average
incremental upfront cost per vehicle would be recovered in three years,
on average. Similarly, for sleeper cab tractors, we estimate that the
initial cost increase would be recouped in seven years. We discuss this
in more detail in DRIA Chapter 2.
The average per-vehicle purchaser costs shown in Table II-32 for MY
2027 are higher than the MY 2032 per-vehicle costs. The reduction in
costs over time are reflective of technology learning, as discussed in
Section IV.B. It is worth noting that though the upfront costs of a BEV
day cab tractor, for example, are higher when one considers both the
vehicle and the EVSE, purchasers would still recoup these upfront costs
within eight years of ownership on average. Also of note, our proposed
standards in MY 2027 have a lower adoption rate of 10 percent for these
day cab tractors, in recognition of the higher cost in MY 2027 than in
MY 2032. The upfront vehicle cost increase projected at $24,000
represents a less than a 25 percent increase when compared to the
average price of $100,000 for a new day cab tractor. Purchasers also
would have the option to consider alternatives to purchasing an EVSE at
the time of purchasing a vehicle. For example, depending on the
location of the vehicle, heavy-duty public charging may be a better
solution than depot charging. The purchaser could instead of spending
over $37,000 upfront on average for EVSE, they could instead spread the
cost over time through public charging where the EVSE costs would be
built into the electricity cost.
5. Lead Time Assessment
Two of the significant aspects of the IRA are the tax credit
available for the manufacturing of batteries and the tax credit
available for the purchase of HD zero-emission vehicles, where the IRA
provisions' qualifications are met. The tax credits significantly
reduce, and in many cases erase, the incremental cost of purchasing a
HD ZEV when compared to the cost of purchasing a comparable ICE
vehicle. Therefore, as explained in our payback analysis, we expect the
IRA will incentivize the demand and purchaser acceptance for HD ZEVs.
However, demand and purchaser acceptance are only two of the factors we
consider when evaluating the feasibility of HD ZEV technologies in the
MY 2027 through MY 2032 timeframe. As we propose standards for MYs 2027
through 2032, which are between four and nine years from now, we
considered the lead time required for manufacturers to design, develop,
and produce the ZEV and ICE vehicle technologies in the technology
packages, in addition to lead time considerations for the charging and
hydrogen refueling infrastructure. We welcome comment on our assessment
of lead time in these areas.
Manufacturers require time to design, develop, and build new
vehicles. Based on discussions with heavy-duty manufacturers, depending
on the amount of content that is new on a vehicle, it could take two to
four years or more years to design, develop and prove the safety and
reliability of a new HD vehicle. A typical design process includes the
design and building of prototype or demonstration vehicles that are
evaluated over several months or years in real world operation. The
manufacturers need to accumulate miles and experience a wide variety of
environmental conditions on these
[[Page 25999]]
prototype vehicles to demonstrate the product's durability and
reliability. Then manufacturers would work to commercialize the vehicle
and in turn build it in mass production. We also considered that
manufacturers are likely limited in terms of the financial resources,
human resources, and testing facilities to redesign all of their
vehicles at the same time. Typically, manufacturers would focus on the
applications with the best business case because these would be where
the customers would be most willing to purchase, therefore the proposed
standards phase in over a period of time starting in MY 2027 through MY
2032. For HD BEVs, we have considered that BEV technology has been
demonstrated to be technically feasible in heavy-duty transportation
and that manufacturers will learn from the research and development
work that has gone into developing the significant number of LD and HD
electric vehicle models that are on the road today, as noted in Section
II.D.2 and DRIA Chapter 1.5.5, and our proposed standards are supported
by technology packages with increasing BEV adoption rates beginning in
MY 2027 (see also our discussion in this subsection regarding our
consideration of adequate time for infrastructure development for HD
BEVs). For HD FCEVS, as discussed in Section II.D.3 and II.D.4, along
with DRIA Chapter 1.7.5, fuel cell technology in other sectors has been
in existence for decades, has been demonstrated to be technically
feasible in heavy-duty transportation, and there are a number of HD
FCEV models that are commercially available today with more expected to
become available by 2024. However, we included this technology for our
proposed standards starting in MY 2030 in part to take into
consideration additional lead time to allow manufacturers to design,
develop, and manufacture HD FCEV models (see also our discussion in
this subsection regarding our consideration of adequate time for
infrastructure development for HD FCEVs).
We discuss in Sections II.D.1 and II.F.1 the need for ICE vehicles
to continue to install CO2-reducing technologies, such as
advanced aerodynamics, efficient powertrains, and lower rolling
resistance tires. In our technology assessment for this proposal, we
included the technology packages we considered in setting the existing
Phase 2 MY 2027 CO2 emission standards. Each of these
technologies exists today and continues to be developed by
manufacturers. As noted in 2016 when we issued the HD GHG Phase 2 final
rule, at that time we provided over ten years of lead time to the
manufacturers to continue the development and deployment of these
technologies. Our current assessment is that these ICE vehicle
technologies continue to be feasible in the MY 2027 and later
timeframe.
As a new vehicle is being designed and developed, we considered
that manufacturers will also need time to significantly increase HD ZEV
production volumes from today's volumes. In particular, manufacturers
will need to build new or modify existing manufacturing production
lines to assemble the new products that include ZEV powertrains. We
also considered that manufacturers will require time to source new
components, such as heavy-duty battery packs, motors, fuel cell stacks,
and other ZEV components, including the sourcing of the critical
materials, as discussed in Section II.D.2.ii. As described in Section
II.D.5, we anticipate that manufacturers will not develop vehicles to
cover all types of HD vehicles at once but will focus on those with the
most favorable business case first, increase the adoption of those
vehicles over time, and then develop other applications. We believe our
approach described in Section II.D.5 shows the adoption rates for the
applications we have considered would be achievable in the MY 2027 and
later timeframe. We welcome comment on the manufacturer lead time
requirements for HD ZEVs.
Purchasers of BEVs will also need to consider how they will charge
their vehicles. Our assessment of the availability of public charging
infrastructure, EVSE technology, and costs associated with depot
charging are included in Section II.E.2 of this preamble, DRIA Chapter
1 and DRIA Chapter 2. As noted in DRIA Chapter 2, we anticipate that
many first-time BEV owners may opt to purchase and install EVSE at or
near the time of vehicle purchase and we therefore account for these
capital costs upfront. In terms of EVSE for HD BEVs, this equipment is
available today for purchase. However, it takes time for individual or
fleet owners to develop charging site plans for their facility, obtain
permits, purchase the EVSE, and have it installed. For the depots that
may be charging a greater number of vehicles or with high-power DCFC
ports, an upgrade to the electricity distribution system may be
required. As noted in DRIA Chapter 1, we expect significant increases
in HD charging infrastructure due to a combination of public and
private investments. This includes Federal funding available through
the BIL \525\ and the IRA.\526\ As discussed in DRIA Chapter 1.6.2.2,
states, OEMs, utilities, EVSE providers and others are also investing
in and supporting the deployment of charging infrastructure. For
example, Daimler Trucks North America, Volvo Trucks, Navistar, and
PACCAR are a few of the HD manufacturers investing in EVSE, sometimes
packaging the sale of EVSE with the vehicle.527 528 529 530
Because of these projected increases and the funding available through
the BIL and IRA, and as we are proposing more stringent standards that
begin in MY 2027, our assessment supports that there is sufficient time
for the infrastructure, especially for depot charging, to gradually
increase over the remainder of this decade to levels that support the
stringency of the proposed standards for the timeframe they would
apply. We request comment on time considerations for all levels of HD
charging infrastructure, including Level 2 up to 350 kW DCFC systems.
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\525\ Infrastructure Investment and Jobs Act, Public Law 117-58,
135 Stat. 429 (2021), available at https://www.congress.gov/117/plaws/publ58/PLAW-117publ58.pdf.
\526\ Inflation Reduction Act, Public Law 117-169, 136 Stat.
1818 (2022).
\527\ Daimler Truck North America. ``Daimler Trucks North
America, Portland General Electric open first-of-its-kind heavy-duty
electric truck charging site''. April 21, 2021. Available online:
https://northamerica.daimlertruck.com/PressDetail/daimler-trucks-north-america-portland-general-2021-04-21.
\528\ Volvo Trucks USA. ``Volvo Trucks Simplifies EV Charger
Procurement with Vendor Direct Shipping Program''. September 29,
2022. Available online: https://www.volvotrucks.us/news-and-stories/press-releases/2022/september/volvo-trucks-simplifies-ev-charger-procurement-with-vendor-direct-shipping-program.
\529\ Navistar. ``Navistar and In-Charge Energy Now Offer
Carbon-Neurtral Electric Vehicle Charging''. Available online:
https://news.navistar.com/2021-10-25-Navistar-and-In-Charge-Energy-Now-Offer-Carbon-Neutral-Electric-Vehicle-Charging.
\530\ Paccar Parts. ``Electric Vehicle Chargers''. Available
online: https://www.paccarparts.com/technology/ev-chargers/.
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Purchasers of FCEVs will need to consider how they will obtain
hydrogen to refuel the vehicles. As discussed in DRIA Chapter 1.8,
there are currently 54 public retail hydrogen fueling stations in the
United States, primarily for light-duty vehicles in California
according to DOE's Alternative Fuels Data Center. When including
private and planned stations in a search, there are over 130 refueling
station locations nationwide.\531\ There are also numerous nationally
designated hydrogen-ready or hydrogen-pending Alternative Fueling
Corridors. Corridor-ready designations
[[Page 26000]]
have public hydrogen stations no greater than 100 miles apart and no
greater than five miles off the highway. Corridor-pending designations
have public hydrogen stations separated by more than 100 miles but no
greater than five miles off the highway.532 533 In addition,
DOE's draft Clean Hydrogen Strategy and Roadmap suggests a regional
``clean hydrogen hub'' approach to infrastructure. Under provisions of
the BIL, DOE is investing $8 billion through 2026 to support the
development of at least four hubs that can demonstrate the production,
processing, delivery, storage, and end use of clean hydrogen.
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\531\ U.S. Department of Energy, Alternative Fuels Data Center.
``Hydrogen Fueling Station Locations''. Last accessed on January 27,
2023. Available online: https://afdc.energy.gov/fuels/hydrogen_locations.html#/analyze?fuel=HY.
\532\ U.S. Department of Transportation, Federal Highway
Administration. ``Alternative Fuel Corridors: Hydrogen''. Available
online: https://hepgis.fhwa.dot.gov/fhwagis/
ViewMap.aspx?map=Highway+Information[bond]Hydrogen+(HY-
Round+1,2,3,4,5+and+6)#.
\533\ U.S. Department of Transportation, Federal Highway
Administration. ``Alternative Fuel Corridors; Frequently Asked
Questions FAST Act Section 1413--Alternative Fuel Corridor
Designations Updated December 2020 to Support Round 5''. Available
online: https://www.fhwa.dot.gov/environment/alternative_fuel_corridors/resources/faq/.
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DOE released a Liftoff Report on clean hydrogen to establish a
common fact base moving forward for dialogue and coordinated action
across the full technology value chain (e.g., from upstream production
to downstream end uses). The report considers the impact of hub funding
and tax credits under BIL and IRA, including the hydrogen production
tax credit (PTC). It identifies three phases of rapid market growth:
near-term expansion (~2023-2026), industrial scaling (~2027-2034), and
long-term growth (~2035+). The report acknowledges that there are both
opportunities and challenges for sectors with few decarbonization
alternatives like heavy-duty transportation end uses, including long-
haul trucks. During the timeframe of this rule (i.e., through 2032),
the Liftoff Report supports a scenario where low-GHG hydrogen will be
emerging for long-haul trucks.\534\ We project that hydrogen
consumption from FCEVs in this proposal would be a small proportion of
total low-GHG hydrogen expected to be produced through 2030 in the
United States.
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\534\ U.S. Department of Energy. ``Pathways to Commercial
Liftoff: Clean Hydrogen''. March 2023. Available online: https://liftoff.energy.gov/wp-content/uploads/2023/03/20230320-Liftoff-Clean-H2-vPUB.pdf.
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To meet more immediate needs, end users may expect to rely on
hydrogen deliveries from central production facilities. After
evaluating the existing and future hydrogen refueling
infrastructure,\535\ we considered FCEVs only in the MY 2030 and later
timeframe to better ensure we have provided adequate time for
infrastructure development and because we expect that refueling needs
can be met by MY 2030, as discussed in Section II.D.4 and in DRIA
Chapter 2.1. We request comment on lead time considerations related to
the development of HD hydrogen fueling infrastructure.
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\535\ U.S. Department of Energy. ``Pathways to Commercial
Liftoff: Clean Hydrogen''. March 2023. Available online: https://liftoff.energy.gov/wp-content/uploads/2023/03/20230320-Liftoff-Clean-H2-vPUB.pdf.
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Giving consideration to these factors, our analysis supports that
there is sufficient lead time to meet the proposed standards, which
manufacturers may comply with through application of BEV technologies,
FCEV technologies, or further improvements to ICE vehicles, including
H2-ICE powered vehicles. However, we also considered and are requesting
comment on an alternative standards reflecting a slower phase-in of HD
ZEV adoption rates, and are also seeking comment on more stringent
standards reflecting a more aggressive phase-in of HD ZEV adoption
rates, as described in Section II.H.
Additionally, while we believe there is sufficient time for the
charging and refueling infrastructure to develop for the reasons
explained in this section, EPA recognizes that such infrastructure for
BEVs and FCEVs is important for the success of the increasing
development and adoption of these vehicle technologies. EPA carefully
considered that there are significant efforts already underway to
develop and expand heavy-duty electric charging and hydrogen refueling
infrastructure both at the local, State and Federal government level as
well as from private industry, as discussed in DRIA Chapters 1 and 2
and this section. Those are important early actions that, as we just
explained, will support the increase in ZEV charging and refueling
infrastructure needed for the future growth of ZEV technology of the
magnitude EPA is projecting in this proposal's technology packages. EPA
has heard from some representatives from the heavy-duty vehicle
manufacturing industry both optimism regarding the heavy-duty
industry's ability to produce ZEV technologies in future years at high
volume, but also concern that a slow growth in ZEV refueling
infrastructure can slow the growth of heavy-duty ZEV adoption, and that
this may present challenges for vehicle manufacturers' ability to
comply with future EPA GHG standards. EPA has a vested interest in
monitoring industry's performance in complying with mobile source
emission standards, including the highway heavy-duty industry. EPA
monitors industry's performance through a range of approaches,
including regular meetings with individual companies and regulatory
requirements for data submission as part of the annual certification
process. EPA also provides transparency to the public through actions
such as publishing industry compliance reports (such as has been done
during the heavy-duty GHG Phase 1 program).\536\ EPA requests comment
on what, if any, additional information and data EPA should consider
collecting and monitoring during the implementation of the Phase 3
standards; we also request comment on whether there are additional
stakeholders EPA should work with during implementation of the Phase 3
standards and what measures EPA should include to help ensure success
of the Phase 3 program, including with respect to the important issues
of refueling and charging infrastructure for ZEVs.
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\536\ See EPA Reports EPA-420-R-21-001B covering Model Years
2014-2018, and EPA report EPA-420-R-22-028B covering Model Years
2014-2020, available online at https://www.epa.gov/compliance-and-fuel-economy-data/epa-heavy-duty-vehicle-and-engine-greenhouse-gas-emissions.
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G. EPA's Basis That the Proposed Standards Are Feasible and Appropriate
Under the Clean Air Act
1. Overview
As discussed in Section II.A of this preamble, there is a critical
need for further GHG reductions to address the adverse impacts of air
pollution from HD vehicles on public health and welfare. With continued
advances in internal combustion emissions controls and vehicle zero
emission technologies coming into the mainstream as key vehicle
emissions controls, EPA believes substantial further emissions
reductions are feasible and appropriate under the Clean Air Act.
The Clean Air Act authorizes EPA to establish emissions standards
for motor vehicles to regulate emissions of air pollutants that
contribute to air pollution which, in the Administrator's judgment, may
reasonably be anticipated to endanger public health or welfare. Heavy-
duty vehicles are significant contributors to the U.S. GHG emissions
inventories, and additional reductions in GHGs from vehicles are needed
to avoid the worst consequences of climate change as discussed in
Section II.A.
[[Page 26001]]
This proposed rule also considers the large potential impact that
the Inflation Reduction Act (IRA) will have on facilitating production
and adoption of ZEV technologies. The IRA provides powerful incentives
in reducing the cost to manufacture and purchase ZEVs, as well as
reducing the cost of charging infrastructure, that will help facilitate
increased market penetration of ZEV technology in the time frame
considered in this rulemaking. Thus, it is an important element of
EPA's cost and feasibility assessment, and EPA has considered the
impacts of the IRA in our assessment of the appropriate proposed
standards.
As we did in HD GHG Phase 1 and Phase 2 rulemakings, in this Phase
3 proposal we considered the following factors: the impacts of
potential standards on emissions reductions of GHG emissions; technical
feasibility and technology effectiveness; the lead time necessary to
implement the technologies; costs to manufacturers; costs to purchasers
including operating savings; reduction of non-GHG emissions; the
impacts of standards on oil conservation and energy security; impacts
of standards on the truck industry; other energy impacts; as well as
other relevant factors such as impacts on safety.\537\ See Section
II.G.5 for further discussion of how we balanced the factors we
considered for the proposed Phase 3 standards.
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\537\ 81 FR 73512 (October 25, 2016) and 76 FR 57129 (September
15, 2011).
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2. Consideration of Technological Feasibility, Compliance Costs and
Lead Time
The technological readiness of the heavy-duty industry to meet the
proposed standards for model years 2027-2032 and beyond is best
understood in the context of over a decade of heavy-duty vehicle
emissions reduction programs in which the HD industry has introduced
emissions reducing technologies in a wide lineup of ever more efficient
and cost-competitive vehicle applications. Electrification technologies
have seen particularly rapid development over the last several years
such that early HD ZEV models are in use today for some applications
and and are expected to expand to many more applications, as discussed
DRIA Chapters 1.5 and 2, and as a result the number of ZEVs projected
in the proposal and across all the alternatives considered here is much
higher than in any of EPA's prior rulemaking analyses.
As discussed in DRIA Chapter 1.5.5 and Section I, the ZEV
technology necessary to achieve significantly more stringent standards
has already been developed and deployed. Additionally, manufacturers
have announced plans to rapidly increase their investments in ZEV
technologies over the next decade. In addition, the IRA and the BIL
provide many monetary incentives for the production and purchase of
ZEVs in the heavy-duty market, as well as incentives for electric
vehicle charging infrastructure. Furthermore, there have been multiple
actions by states to accelerate the adoption of heavy-duty ZEVs, such
as (1) a multi-state Memorandum of Understanding for the support of
heavy-duty ZEV adoption; \538\ and (2) the State of California's ACT
program, which has also been adopted by other states and includes a
manufacturer requirement for zero-emission truck sales.\539\ Together
with the range of ICE technologies that have been already demonstrated
over the past decade, BEVs and FCEVs with no tailpipe emissions (and 0
g CO2/ton-mile certification values) are capable of
supporting rates of annual stringency increases that are much greater
than were typical in earlier GHG rulemakings.
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\538\ NESCAUM MOU, available at https://www.nescaum.org/documents/mhdv-zev-mou-20220329.pdf.
\539\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023. The ACT had been adopted
by five states under CAA section 177: Oregon, Washington, New York,
New Jersey, and Massachusetts. Oregon and Washington adopted ACT as-
is, whereas New York, New Jersey, and Massachusetts adopted ACT on a
one-year delay.
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In setting standards for a future model year, EPA considers the
extent deployment of advanced technologies would be available and
warranted in light of the benefits to public health and welfare in GHG
emission reductions, and potential constraints, such as cost of
compliance, lead time, raw material availability, component supplies,
redesign cycles, charging and refueling infrastructure, and purchasers'
willingness to purchase (including payback). The extent of these
potential constraints has diminished significantly in light of
increased and further projected investment by manufacturers, increased
and further projected acceptance by purchasers, and significant support
from Congress to address such areas as upfront purchase price, charging
infrastructure, critical mineral supplies, and domestic supply chain
manufacturing. In response to the increased stringency of the proposed
standards, manufacturers would be expected to adopt advanced
technologies, such as increased electrification, at an increasing pace
across more of their vehicles. To evaluate the feasibility of BEVs and
FCEVs in our technology packages that support the proposed standards,
EPA developed a tool called HD TRUCS, to evaluate the design features
needed to meet the energy and power demands of various HD vehicle types
when using ZEV technologies. The overarching design and functionality
of HD TRUCS is premised on ensuring each of the 101 ZEV types could
perform the same work as a comparable ICE vehicle counterpart. Within
the HD TRUCS modeling that EPA conducted to support this proposal, we
have imposed constraints to reflect the rate at which a manufacturer
can deploy ZEV technologies that include consideration of time
necessary to ramp up battery production, including the need to increase
the availability of critical raw materials and expand battery
production facilities, as discussed in Section II.D.2.ii.
Constraints on the technology adoption limits in our compliance
modeling as well as other aspects of our lead time assessment are
described in Section II.F. Overall, given the number and breadth of
current low or zero emission vehicles and the constraints we have made
to limit the rate of development for new HD vehicles, our assessment
shows that there is sufficient lead time for the industry to more
broadly deploy existing technologies and successfully comply with the
proposed standards.
Our analysis projects that for the industry overall, nearly 50
percent of new vocational vehicles and 25 to 35 percent of new tractors
in MY 2032 would be ZEVs. EPA believes that this is an achievable level
based on our technical assessment for this proposal that includes
consideration of the feasibility and lead time required for ZEVs and
appropriate consideration of the cost of compliance for manufacturers.
Our assessment of the appropriateness of the level of ZEVs in our
analysis is also informed by public announcements by manufacturers
about their plans to transition fleets to electrified vehicles, as
described in Section I.A.2 of this preamble. More detail about our
technical assessment, and our assessment of the production feasibility
of ZEVs is provided in Section II.D and II.E of this Preamble and
Chapters 1 and 2 of the DRIA. At the same time, we note that the
proposed standards are performance-based and do not mandate any
specific technology for any manufacturer or any vehicles. Moreover, the
overall industry does not necessarily need to reach this level of ZEVs
in order to comply--this
[[Page 26002]]
is one of many possible compliance pathways that manufacturers could
choose to take under the performance-based standards. For example,
manufacturers that choose to increase their sales of hybrid vehicle
technologies or apply more advanced technology to non-hybrid ICE
vehicles would require a smaller number of ZEVs than we have projected
in our assessment to comply with the proposed standards.
In considering feasibility of the proposed standards, EPA also
considers the impact of available compliance flexibilities on
manufacturers' compliance options. Manufacturers widely utilize the
program's established averaging, banking and trading (ABT) provisions
which provide a variety of flexible paths to plan compliance. We have
discussed this dynamic in past rules, and we anticipate that this same
dynamic will support compliance with this rulemaking. The GHG credit
program was designed to recognize that manufacturers typically have a
multi-year redesign cycle and not every vehicle will be redesigned
every year to add emissions-reducing technology. Moreover, when
technology is added, it will generally not achieve emissions reductions
corresponding exactly to a single year-over-year change in stringency
of the standards. Instead, in any given model year, some vehicles will
be ``credit generators,'' over-performing compared to their respective
CO2 emission standards in that model year, while other
vehicles will be ``debit generators'' and under-performing against
their standards. As the proposed standards reach increasingly lower
numerical levels, some vehicle designs that had generated credits
against their CO2 emission standard in earlier model years
may instead generate debits in later model years. In MY 2032 when the
proposed standards reach the lowest level, it is possible that only
BEVs, FCEVs, and H2-ICE vehicles are generating positive credits, and
all ICE vehicles generate varying levels of deficits. Even in this
case, the application of ICE technologies can remain an important part
of a manufacturer's compliance strategy by reducing the amount of
debits generated by these vehicles. A greater application of ICE
technologies (e.g., hybrids) can enable compliance with fewer ZEVs than
if less ICE technology was adopted, and therefore enable the tailoring
of a compliance strategy to the manufacturer's specific market and
product offerings. Together, a manufacturer's mix of credit-generating
and debit-generating vehicles contribute to its sales-weighted average
performance, compared to its standard, for that year.
Just as the averaging approach in the HD vehicle GHG program allows
manufacturers to design a compliance strategy relying on the sale of
both credit-generating vehicles and debit-generating vehicles in a
single year, the credit banking and trading provisions of the program
allow manufacturers to design a compliance strategy relying on
overcompliance and undercompliance in different years, or even by
different manufacturers. Credit banking allows credits to carry-over
for up to five years and allows manufacturers up to three years to
address any credit deficits. Credit trading is a compliance flexibility
provision that allows one vehicle manufacturer to purchase credits from
another, though trading of GHG credits has not occurred with HD GHG
credits.
The proposed performance-based standards with ABT provisions give
manufacturers a degree of flexibility in the design of specific
vehicles and their fleet offerings, while allowing industry overall to
meet the standards and thus achieve the health and environmental
benefits projected for this rulemaking. EPA has considered the
averaging portion of the ABT program in the feasibility assessments for
previous rulemakings and continues that practice here. We also continue
to acknowledge that the other provisions in ABT that provide
manufacturers additional flexibility also support the feasibility of
the proposed standards. By averaging across vehicles in the vehicle
averaging sets and by allowing for credit banking across years,
manufacturers have the flexibility to adopt emissions-reducing
technologies in the manner that best suits their particular market and
business circumstances. EPA's annual Heavy-Duty Vehicle and Engine
Greenhouse Gas Emissions Compliance Report illustrates how different
manufacturers have chosen to make use of the GHG program's various
credit features.\540\ It is clear that manufacturers are widely
utilizing several of the credit programs available, and we expect that
manufacturers will continue to take advantage of the compliance
flexibilities and crediting programs to their fullest extent, thereby
providing them with additional tools in finding the lowest cost
compliance solutions in light of the proposed standards.
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\540\ ``The Final Phase 1 EPA Heavy-Duty Vehicle and Engine
Greenhouse Gas Emissions Compliance Report (Model Years 2014-20),''
EPA-420-R-22-028. November 2022. Last accessed on February 9, 2023
at https://www.epa.gov/compliance-and-fuel-economy-data/epa-heavy-duty-vehicle-and-engine-greenhouse-gas-emissions.
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In addition to technological feasibility and lead time, EPA has
considered the cost for the heavy-duty industry to comply with the
proposed standards. See Section II.F.4 and Chapter 2 of the DRIA for
our analysis of compliance costs for manufacturers. We estimate that
the MY 2032 fleet average per-vehicle cost to manufacturers by
regulatory group would range between a cost savings for LHD vocational
vehicles to $2,300 for HHD vocational vehicles and between $8,000 and
$11,400 per tractor. EPA notes the projected costs per vehicle for this
proposal are similar to the fleet average per-vehicle costs projected
for the HD GHG Phase 2 rule that we considered to be reasonable. The
Phase 2 tractor standards were projected to cost between $10,200 and
$13,700 per vehicle (81 FR 73621). The Phase 2 vocational vehicle
standards were projected to cost between $1,486 and $5,670 per vehicle
(81 FR 73718). Furthermore, the estimated MY 2032 costs to
manufacturers represent less than about ten percent of the average
price of a new heavy-duty tractor today (conservatively estimated at
$100,000 in 2022).\541\ For this proposal, EPA finds that the expected
vehicle compliance costs are reasonable in light of the emissions
reductions in air pollutants and the resulting benefits for public
health and welfare.
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\541\ Note that these values are averages across all vehicles
and there will be differences for each individual vehicle.
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3. Consideration of Emissions of GHGs
An essential factor that EPA considered in determining the
appropriate level of the proposed standards is the reductions in GHG
emissions and associated public health and welfare impacts.\542\
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\542\ As further explained in Section II.G.4, we note that we
also expect the proposed GHG emission standards would lead to an
increase in HD ZEVs, which would also result in reductions of
vehicle emissions of non-GHG pollutants that contribute to ambient
concentrations of ozone, particulate matter (PM2.5),
NO2, CO, and air toxics. EPA did not select the proposed
GHG emission standards based on non-GHG reductions of vehicle
emissions; nonetheless, the GHG and non-GHG reductions of vehicle
emissions of the proposed program reinforce our view that the
proposed standards represent an appropriate weighing of the
statutory factors and other relevant considerations.
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The proposed GHG standards would achieve significant reductions in
GHG emissions. The proposed standards would achieve approximately 1.8
billion metric tons in net CO2 cumulative emission
reductions from calendar years 2027 through 2055 (see Section V of the
preamble and Chapter 4 of the DRIA). As discussed in Section VI of this
[[Page 26003]]
preamble, these GHG emission reductions would make an important
contribution to efforts to limit climate change and its anticipated
impacts.
The proposed CO2 emission standards would reduce adverse
impacts associated with climate change and would yield significant
benefits, including those we can monetize and those we are unable to
fully monetize due to data and modeling limitations. The program would
result in significant social benefits including $87 billion in climate
benefits (with the average SC-GHGs at a 3 percent discount rate). A
more detailed description and breakdown of these benefits can be found
in Section VII of the preamble and Chapter 7 of the DRIA.
As discussed in Section VII, we monetize benefits of the proposed
CO2 standards and evaluate other costs in part to better
enable a comparison of costs and benefits pursuant to E.O. 12866, but
we recognize that there are benefits we are unable to fully quantify.
EPA's consistent practice has been to set standards to achieve improved
air quality consistent with CAA section 202, and not to rely on cost-
benefit calculations, with their uncertainties and limitations, in
identifying the appropriate standards. Nonetheless, our conclusion that
the estimated benefits considerably exceed the estimated costs of the
proposed program reinforces our view that the proposed standards
represent an appropriate weighing of the statutory factors and other
relevant considerations.
4. Consideration of Impacts on Purchasers, Non-GHG Emissions, Energy,
Safety and Other Factors
Another factor that EPA considered in determining the proposed
standards is the impact of the proposed HD CO2 standards on
purchasers, consistent with the approach we used in HD GHG Phase 1 and
Phase 2. In this proposal, we considered willingness to purchase (such
as practicability, payback, and costs for vehicle purchasers including
EVSE) in determining the appropriate level of the proposed standards.
Businesses that operate HD vehicles are under competitive pressure to
reduce operating costs, which should encourage purchasers to identify
and rapidly adopt vehicle technologies that provide a positive total
cost of ownership. Outlays for labor and fuel generally constitute the
two largest shares of HD vehicle operating costs, depending on the
price of fuel, distance traveled, type of HD vehicle, and commodity
transported (if any), so businesses that operate HDVs face strong
incentives to reduce these costs.543 544 However, as noted
in DRIA Chapter 6.2, there are a number of other considerations that
may impact a purchaser's willingness to adopt new technologies. Within
HD TRUCS, we considered the impact on purchasers through our evaluation
of payback periods. The payback period is the number of years that it
would take for the annual operational savings of a ZEV to offset the
incremental upfront purchase price of a BEV or FCEV (after accounting
for the IRA section 13502 battery tax credit and IRA section 13403
vehicle tax credit) and charging infrastructure costs (for BEVs) when
compared to purchasing a comparable ICE vehicle. The average per-
vehicle costs to a purchaser by regulatory group for a MY 2032 heavy-
duty vehicle, including associated EVSE and after considering the IRA
battery-manufacturer and vehicle-purchaser tax credits, are projected
to range between $900 and $11,000 for vocational vehicles and $14,700
and $17,300 for tractors. As noted in Section II.F.4.ii, EPA concludes
that the proposed standards would be beneficial for purchasers because
the lower operating costs during the operational life of the vehicle
would offset the increase in vehicle technology costs. For example,
purchasers of MY 2032 vocational vehicles and day cab tractors on
average by regulatory group would recoup the upfront costs through
operating savings within the first three years of ownership.
Furthermore, the purchasers would benefit from annual operating cost
savings for each year after the payback occurs. EPA finds that these
average costs to purchasers are reasonable considering the operating
savings which more than offsets these costs, as was also the case with
the HD GHG Phase 2 rule. See 81 FR 73482.
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\543\ American Transportation Research Institute, An Analysis of
the Operational Costs of Trucking, September 2013. Docket ID: EPA-
HQ-OAR-2014-0827-0512.
\544\ Transport Canada, Operating Cost of Trucks, 2005. Docket
ID: EPA-HQ-OAR-2014-0827-0070.
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We also considered the practicability and suitability of the
proposed standards as we applied an additional constraint within HD
TRUCS that limited the maximum ZEV adoption rate to 80 percent for any
given vehicle type. This conservative limit was developed after
consideration of the actual needs of the purchasers, as discussed in
Section II.F.1.
Within our analysis, to support the practicability and suitability
of the proposed standards we also considered the lead time necessary
for purchasers to install depot charging and the lead time necessary
for development of hydrogen infrastructure that would be required for
the use of these technologies. As further explained in DRIA Chapter 1.6
and Sections II.E.2 and II.F.5, our assessment supports that depot
charging can be installed in time for the purchase and use of the
volume of MY 2027 BEVs we project could be used to comply with the
proposed standards. With respect to hydrogen infrastructure, as further
explained in DRIA Chapter 1.8 and Section II.F.5, we recognize that
this may take longer to develop, and therefore included a constraint
for FCEVs such that we did not propose new standards for long-haul
vehicles until MY 2030, when we expect refueling needs can be met for
the volume of FCEVs we project could be used to comply with the
proposed standards. Furthermore, we also assessed the impact of future
HD BEVs on the grid, as discussed in Section II.E.2. Our assessment is
that grid reliability is not expected to be adversely affected by the
modest increase in electricity demand associated with HD BEV charging
and thus was not considered to be a constraining consideration.
EPA considers our analysis of the impact of the proposed
CO2 emission standards on vehicle and upstream emissions for
non-GHG pollutants as supportive of the proposed standards. The
proposed standards would decrease vehicle emissions of non-GHG
pollutants that contribute to ambient concentrations of ozone,
particulate matter (PM2.5), NO2, CO, and air
toxics. By 2055, when considering downstream vehicle, EGU, and refinery
emissions, we estimate a net decrease in emissions from all pollutants
modeled (i.e., NOX, PM2.5, VOC, and
SO2) (see Section V of the preamble and Chapter 4 of the
DRIA for more detail).
As also explained in Section II.G.3, and as discussed in Section
VII, we monetize benefits of the proposed standards and evaluate other
costs in part to better enable a comparison of costs and benefits
pursuant to E.O. 12866, but we recognize that there are benefits we are
unable to fully quantify. EPA's consistent practice has been to set
standards to achieve improved air quality consistent with CAA section
202, and not to rely on cost-benefit calculations, with their
uncertainties and limitations, in identifying the appropriate
standards.
EPA also evaluated the impacts of the proposed HD GHG standards on
energy, in terms of oil conservation and energy security through
reductions in fuel consumption. This proposal is projected to reduce
U.S. oil imports 4.3 billion gallons through 2055 (see Section VI.F).
[[Page 26004]]
We estimate the benefits due to reductions in energy security
externalities caused by U.S. petroleum consumption and imports would be
approximately $12 billion under the proposed program. EPA considers
this proposal to be beneficial from an energy security perspective and
thus this factor was considered to be a supportive and not constraining
consideration.
EPA estimates that the present value of monetized net benefits to
society would be approximately $320 billion through the year 2055
(annualized net benefits of $17 billion through 2055), more than 5
times the cost in vehicle technology and associated electric vehicle
supply equipment (EVSE) combined. Regarding social costs, EPA estimates
that the cost of vehicle technology (not including the vehicle or
battery tax credits) and EVSE would be approximately $9 billion and $47
billion respectively, and that the HD industry would save approximately
$250 billion in operating costs (e.g., savings that come from less
liquid fuel used, lower maintenance and repair costs for ZEV
technologies as compared to ICE technologies, etc.). The program would
result in significant social benefits including $87 billion in climate
benefits (with the average SC-GHGs at a 3 percent discount rate).
Between $15 and $29 billion of the estimated total benefits through
2055 are attributable to reduced emissions of non-GHG pollutants,
primarily those that contribute to ambient concentrations of
PM2.5. Finally, the benefits due to reductions in energy
security externalities caused by U.S. petroleum consumption and imports
would be approximately $12 billion under the proposed program. A more
detailed description and breakdown of these benefits can be found in
Section VIII of the preamble and Chapter 7 of the DRIA. Our conclusion
that the estimated benefits considerably exceed the estimated costs of
the proposed program reinforces our view that the proposed standards
represent an appropriate weighing of the statutory factors and other
relevant considerations.
Section 202(a)(4)(A) of the CAA specifically prohibits the use of
an emission control device, system or element of design that will cause
or contribute to an unreasonable risk to public health, welfare, or
safety. EPA has a history of considering the safety implications of its
emission standards, including the HD Phase 1 and Phase 2 rule. We
highlight the numerous industry standards and safety protocols that
exist today for heavy-duty BEVs and FCEVs that provide guidance on the
safe design of these vehicles in Section II.D and DRIA Chapter 1 and
thus this factor was considered to be a supportive and not constraining
consideration.
5. Selection of Proposed Standards Under CAA 202(a)
Under section 202(a), EPA has a statutory obligation to set
standards to reduce emissions of air pollutants from classes of motor
vehicles that the Administrator has found contribute to air pollution
that may be expected to endanger public health and welfare. In setting
such standards, the Administrator must provide adequate lead time for
the development and application of technology to meet the standards,
taking into consideration the cost of compliance. EPA's proposed
standards properly implement this statutory provision, as discussed in
this Section II.G. In setting standards for a future model year, EPA
considers the extent deployment of advanced technologies would be
available and warranted in light of the benefits to public health and
welfare in GHG emission reductions, and potential constraints, such as
cost of compliance, lead time, raw material availability, component
supplies, redesign cycles, charging and refueling infrastructure, and
purchasers' willingness to purchase (including payback). The extent of
these potential constraints has diminished significantly in light of
increased and further projected investment by manufacturers, increased
and further projected acceptance by purchasers, and significant support
from Congress to address such areas as upfront purchase price, charging
infrastructure, critical mineral supplies, and domestic supply chain
manufacturing. The proposed standards would achieve significant and
important reductions in GHG emissions that endanger public health and
welfare. Furthermore, as discussed throughout this preamble, the
emission reduction technologies needed to meet the proposed standards
have already been developed and are feasible and available for
manufacturers to utilize in their fleets at reasonable cost in the
timeframe of these proposed standards, even after considering key
elements including battery manufacturing capacity and critical
materials availability.
As discussed throughout this preamble, the emission reduction
technologies needed to meet the proposed standards are feasible and
available for manufacturers to utilize in HD vehicles in the timeframe
of these proposed standards. The proposed emission standards are based
on one potential technology path (represented in multiple technology
packages for the various HD vehicle regulatory subcategories per MY)
that includes adoption rates for both ICE vehicle technologies and
zero-emission vehicle technologies that EPA regards as feasible and
appropriate under CAA section 202(a) for the reasons given in this
Section II.G, and as further discussed throughout Section II and DRIA
Chapter 2. For the reasons described in that analysis, EPA believes
these technologies can be developed and applied in HD vehicles and
adopted at the projected rates for these proposed standards within the
lead time provided, as discussed in Section II.F.6 and in DRIA Chapter
2.
EPA also gave appropriate consideration of cost of compliance in
the selection of the proposed standards as described in this Section
II.G, and as further discussed in Section II.F and DRIA Chapter 2. The
MY 2027 through MY 2031 emission standards were developed using less
aggressive application rates and, therefore, are projected to have
lower technology package costs than the proposed MY 2032 standards.
Additionally, as described in this Section II.G and as further
discussed in Section II.F and DRIA Chapter 2, we considered impacts on
vehicle purchasers and willingness to purchase (including
practicability, payback, and costs to vehicle purchasers) in applying
constraints in our analysis and selecting the proposed standards.\545\
For example, in MY 2032, we estimated that the incremental cost to
purchase a ZEV would be recovered in the form of operational savings
during the first one to three years of ownership, on average by
regulatory group, for the vocational vehicles; approximately three
years, on average by regulatory group, for short-haul tractors; and
seven years, on average by regulatory group, for long-haul tractors, as
shown in the payback analysis included in Section II.F.4. The length of
ownership of new tractors varies. One study found that first ownership
is customarily four to seven years for For-Hire companies and seven to
12 years for Private fleets.\546\ Another survey
[[Page 26005]]
found that the average trade-in cycle for tractors was 8.7 years.\547\
Therefore, we find that these tractor technologies on average by
regulatory group pay for themselves within the customary ownership
timeframe for the initial owner. As we discussed in the HD GHG Phase 2
rulemaking, vocational vehicles generally accumulate far fewer annual
miles than tractors and would lead owners of these vehicles to keep
them for longer periods of time.\548\ To the extent vocational vehicle
owners may be similar to owners of tractors in terms of business
profiles, they are more likely to resemble private fleets or owner-
operators than for-hire fleets. Regardless, the technologies would also
pay for themselves on average by regulatory group within the ownership
timeframe for vocational vehicles as well.
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\545\ Although EPA sometimes describes purchaser response
(including purchaser costs) as part of our analysis of feasibility,
we emphasize that purchaser response is not a statutorily enumerated
factor under section 202(a)(1)-(2). Rather EPA has considered
purchaser response in exercising our discretion under the statute,
and based on the record before us, the agency views purchaser
response as a material aspect of the real-world feasibility of the
proposed standards.
\546\ Roeth, Mike, et al. ``Barriers to Increased Adoption of
Fuel Efficiency Technologies in Freight Trucking,'' Page 24. July
2013. International Council for Clean Transportation. Available at
https://theicct.org/sites/default/files/publications/ICCT-NACFE-CSS_Barriers_Report_Final_20130722.pdf.
\547\ American Transportation Research Institute. ``An Analysis
of the Operational Costs of Trucking: 2021 Update.'' November 2021.
Page 14.
\548\ 81 FR 73719 (October 25, 2016).
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Moreover, the additional flexibilities beyond averaging already
available under EPA's existing regulations, including banking and
trading provisions in the ABT program--which, for example, in effect
enable manufacturers to spread the compliance requirement for any
particular model year across multiple model years--further support
EPA's conclusion that the proposed standards provide sufficient time
for the development and application of technology, giving appropriate
consideration to cost.
The Administrator has significant discretion to weigh various
factors under CAA section 202, and, as with the HD GHG Phase 1 and
Phase 2 rules, the Administrator notes that the purpose of adopting
standards under that provision of the Clean Air Act is to address air
pollution that may reasonably be anticipated to endanger public health
and welfare and that reducing air pollution has traditionally been the
focus of such standards. Taking into consideration the importance of
reducing GHG emissions and the primary purpose of CAA section 202 to
reduce the threat posed to human health and the environment by air
pollution, the Administrator finds it is appropriate to propose
standards that, when implemented, would result in meaningful reductions
of HD vehicle GHG emissions both near term and over the longer term,
and to select such standards taking into consideration the enumerated
statutory factors of technological feasibility and cost of compliance
within the available lead time, as well as the discretionary factor of
impacts on purchasers and willingness to purchase. In identifying the
proposed standards, EPA's goal was to maximize emissions reductions
given our assessment of technological feasibility and accounting for
cost of compliance, lead time, and impacts on purchasers and
willingness to purchase. The Administrator concludes that this approach
is consistent with the text and purpose of CAA section 202.
There have been very significant developments in the adoption of
ZEVs since EPA promulgated the HD GHG Phase 2 rule. One of the most
significant developments for U.S. heavy-duty manufacturers and
purchasers is the adoption of the IRA, which takes a comprehensive
approach to addressing many of the potential barriers to wider adoption
of heavy-duty ZEVs in the United States. As noted in Section I, the IRA
provides tens of billions of dollars in tax credits and direct Federal
funding to reduce the upfront cost of purchasing ZEVs, to increase the
number of charging stations across the country, to reduce the cost of
manufacturing batteries, and to promote domestic source of critical
minerals and other important elements of the ZEV supply chain. By
addressing all of these potential obstacles to wider ZEV adoption in a
coordinated, well-financed, strategy, Congress significantly advanced
the potential for ZEV adoption in the near term.
In developing this estimate, EPA considered a variety of
constraints which have to date limited ZEV adoption and/or could limit
it in the future, including: cost to manufacturers and purchasers;
availability of raw materials, batteries, and other necessary supply
chain elements; adequate electricity supply and distribution; and
availability of hydrogen. EPA has consulted with analysts from other
agencies, including the Federal Energy Regulatory Commission, DOE, DOT,
and the Joint Office for Energy and Transportation, extensively
reviewed published literature and other data, and, as discussed
thoroughly in this preamble and the accompanying DRIA, has incorporated
limitations into our modeling to address these potential constraints,
as appropriate.
As discussed in Section II.G.4, there are additional considerations
that support, but were not used to select, the proposed standards.
These include the non-GHG emission and energy impacts, energy security,
safety, and net benefits. EPA estimates that the present value of
monetized net benefits to society would be approximately $320 billion
through the year 2055 (annualized net benefits of $17 billion through
2055),\549\ more than five times the cost in vehicle technology and
associated electric vehicle supply equipment (EVSE) combined (see
preamble Section VII and Chapter 8 of the DRIA). We recognize the these
estimates do not reflect unquantified benefits, and the Administrator
has not relied on these estimates in identifying the appropriate
standards under CAA section 202. Nonetheless, our conclusion that the
estimated benefits considerably exceed the estimated costs of the
proposed program reinforces our view that the proposed standards
represent an appropriate weighing of the statutory factors and other
relevant considerations.
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\549\ Using 3 percent discount rate and climate benefits
calculated with the average SC-GHGs at a 3 percent discount rate.
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In addition to our proposed standards, we also considered and are
seeking comment on a range of alternatives above and below the proposed
standards, as specified and discussed in Section II.H and Section IX.
Our approach and goal in selecting standards were generally the same
for the range of alternative standards as they were for the proposed
standards, while also recognizing that there are uncertainties in our
projections and aiming to identify where additional information that
may become available during the course of the rulemaking may support
standards within that range as feasible and reasonable. EPA anticipates
that the appropriate choice of final standards within this range will
reflect the Administrator's judgments about the uncertainties in EPA's
analyses as well as consideration of public comment and updated
information where available. We considered an alternative with a slower
phase-in with less stringent CO2 emission standards;
however, we did not select this level for the proposed standards
because our assessment in this proposal is that feasible and
appropriate standards are available that provide for greater GHG
emission reductions than would be provided by this slower phase-in
alternative. We also considered a more stringent alternative with
emission standards similar to those required by the CA ACT program. At
this time, we consider the proposed standards as the appropriate
balancing of the factors. However, if our analysis for the final rule
of relevant existing information, public comments, or new information
that becomes available between the proposal and the final rule supports
a set of standards within the range of alternatives we are requesting
comment on, we may promulgate final CO2 emission standards
different from
[[Page 26006]]
those proposed if we determine that those emission standards are
feasible and appropriate. For example, we could finalize different
standards based on different ZEV adoption rates than described for the
proposed standards based on different considerations within the inputs
of HD TRUCS or other approaches that we have requested comment on in
this proposal (e.g. payback schedules, consideration of technology
development lead time, ZEV refueling infrastructure growth,
consideration of the need for and level of emissions reductions which
can be achieved through the standards to protect public health, etc.).
In summary, after consideration of the very significant reductions
in GHG emissions, given the technical feasibility of the proposed
standards and the moderate costs per vehicle in the available lead
time, and taking into account a number of other factors such as the
savings to purchasers in operating costs over the lifetime of the
vehicle, safety, the benefits for energy security, and the
significantly greater quantified benefits compared to quantified costs,
EPA believes that the proposed standards are appropriate under EPA's
section 202(a) authority.
H. Potential Alternatives
EPA developed and considered an alternative level of proposed
stringency for this rule which we are seeking comment on. The results
of the analysis of this alternative are included in Section IX of the
preamble. We also request comment, including supporting data and
analysis, if there are certain market segments, such as heavy-haul
vocational trucks or long-haul tractors which may require significant
energy content for their intended use, that it may be appropriate to
set standards less stringent than the alternative for the specific
corresponding regulatory subcategories in order to provide additional
lead time to develop and introduce ZEV or other low emissions
technology for those specific vehicle applications. As described in
more detail throughout this preamble, we also are seeking comment on
setting GHG standards that would reflect values less stringent than the
lower stringency alternative for certain market segments, values in
between the proposed standards and the alternative standards, values in
between the proposed standards and those that would reflect ZEV
adoption levels used in California's ACT, values that would reflect the
level of ZEV adoption in the ACT program, and values beyond those that
would reflect ZEV adoption levels in ACT such as the 50- to 60-percent
ZEV adoption range represented by the publicly stated goals of several
major OEMs for 2030.550 551 552 553 554 For all of these
scenarios we are requesting comment on, EPA anticipates that the same
approach explained in Section II and DRIA Chapter 2 would generally be
followed, including for estimating costs, though the rationale for the
different ZEV adoption rates may be based on different considerations
within the inputs of HD TRUCS or other approaches that we have
requested comment on in this proposal (e.g. payback schedules,
consideration of technology development lead time, ZEV refueling
infrastructure growth, etc.). As explained in this Section I.D of the
preamble, EPA has significant discretion in choosing an appropriate
balance among factors in setting standards under CAA section 202(a)(1)-
(2). If our analysis for the final rule of relevant existing
information, public comments, or new information that becomes available
between the proposal and final rule supports a slower or a more
accelerated implementation of the proposed standards, we may promulgate
final CO2 emission standards different from those proposed
(within the range between the less stringent alternative and the most
stringent standards we request comment on in this section) if we
determine that those emission standards are feasible and appropriate.
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\550\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\551\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html.
\552\ AB Volvo, `Volvo Trucks Launches Electric Truck with
Longer Range,' Volvo Group, January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\553\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\554\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
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While our assessment in this proposal is that the proposed
standards provide adequate lead time, in order to ensure fulsome
comment on all of dynamics involved in the market responding to the
proposed standards, we also considered an alternative with less
stringent standards and a more gradual phase-in. As discussed in
Section II.F.6, we considered while developing the proposed standards
that manufacturers would need time to ramp up ZEV production from the
numbers of ZEVs produced today to the higher adoption rates we project
in the proposed standards that begin between four and eight years from
now. Manufacturers would need to conduct research and develop
electrified configurations for a diverse set of applications. They
would also need time to conduct durability assessments because downtime
is very critical in the heavy-duty market. Furthermore, manufacturers
would require time to make new capital investments for the
manufacturing of heavy-duty battery cells and packs, motors, and other
EV components, along with changing over the vehicle assembly lines to
incorporate an electrified powertrain. In addition, the purchasers of
HD BEVs would need time to design and install charging infrastructure
at their facilities or determine their hydrogen refueling logistics for
FCEVs. Therefore, we developed and considered an alternative that
reflects a more gradual phase-in of ZEV adoption rates to account for
this uncertainty. The ZEV adoption rates associated with level of
stringency of the proposed CO2 emission standards shown in
Section II.F.4 and the alternative CO2 emission standards
shown in Section IX.A.1 are shown in Table II-34. We are not proposing
this alternative set of standards because, as already described, our
assessment is that feasible and appropriate standards are available
that provide for greater emission reductions than provided under this
alternative. We request comment on whether our assessment that there is
adequate lead time provided in the proposed standards is correct or if
a more gradual phase in like the one described in this alternative
would be more appropriate.
[[Page 26007]]
Table II-34--Comparison of ZEV Technology Adoption Rates in the Technology Packages Considered for the Proposed Standards and Alternative Considered
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) later (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 20 25 30 35 40 50
Short-Haul Tractors..................................... 10 12 15 20 30 35
Long-Haul Tractors...................................... 0 0 0 10 20 25
--------------------------------------------------------------------------------------------------------------------------------------------------------
Alternative
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 14 20 25 30 35 40
Short-Haul Tractors..................................... 5 8 10 15 20 25
Long-Haul Tractors...................................... 0 0 0 10 15 20
--------------------------------------------------------------------------------------------------------------------------------------------------------
In consideration of the environmental impacts of HD vehicles and
the need for significant emission reductions, as well as the views
expressed by stakeholders in comments on the HD2027 NPRM such as
environmental justice communities, environmental nonprofit
organizations, and state and local organizations for rapid and
aggressive reductions in GHG emissions,555 556 557 558 we
are also requesting comment on a more stringent set of GHG standards
starting in MYs 2027 through 2032 than the proposed standards and
requesting that commenters provide supporting information regarding
whether such standards are feasible, appropriate, and consistent with
our CAA section 202 authority for a national program. We specifically
are seeking comment on values that would reflect the level of ZEV
adoption used in California's ACT program (as shown in Table II-35),
values in between the proposed standards and those that would reflect
ZEV adoption levels in ACT, and values beyond those that would reflect
ZEV adoption levels in ACT, such as the 50-60 percent ZEV adoption
range represented by the publicly stated goals of several major OEMs
for 2030.559 560 561 562 563 Under any of these more
stringent set of standards that we are requesting comment on, we
estimate that the individual per-vehicle ZEV technology and operating
costs reflecting these higher level of ZEV technology adoption rates
would be the same as the individual per-vehicle ZEV costs of the
proposed standards, as described in DRIA Chapter 2.8.2 because the
costs were calculated as the incremental cost between a ZEV and a
comparable ICE vehicle. Also under a scenario with more stringent
standards, the total costs across the fleet would be higher but the
total emission reductions would be greater. The MYs 2027 through 2032
and beyond emission standards reflecting the ZEV adoptions levels in
California's ACT that we are requesting comment on can be found in a
memo to the docket.\564\
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\555\ ACEEE Comments to the HD2027 NPRM. See Docket Entry EPA-
HQ-OAR-2019-0055-2852-A1. Referencing Catherine Ledna et al.,
`Decarbonizing Medium-& Heavy-Duty On-Road Vehicles: Zero-Emission
Vehicles Cost Analysis' (NREL, March 2022), https://www.nrel.gov/docs/fy22osti/82081.pdf.
\556\ EDF Comments to the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1265-A1, pp.16-17.
\557\ ICCT Comments to the HD2027 NPRM. See Docket Entry EPA-HQ-
OAR-2019-0055-1211-A1, p. 6.
\558\ Moving Forward Network Comments to the HD2027 NPRM. See
Docket Entry EPA-HQ-OAR-2019-0055-1277-A1, pp. 19-20.
\559\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
\560\ Scania, `Scania's Electrification Roadmap,' Scania Group,
November 24, 2021, https://www.scania.com/group/en/home/newsroom/news/2021/Scanias-electrification-roadmap.html.
\561\ AB Volvo, `Volvo Trucks Launches Electric Truck with
Longer Range,' Volvo Group, January 14, 2022, https://www.volvogroup.com/en/news-and-media/news/2022/jan/news-4158927.html.
\562\ Deborah Lockridge, `What Does Daimler Truck Spin-off Mean
for North America?,' Trucking Info (November 11, 2021). https://www.truckinginfo.com/10155922/what-does-daimler-truck-spin-off-mean-for-north-america.
\563\ Navistar presentation at the Advanced Clean Transportation
(ACT) Expo, Long Beach, CA (May 9-11, 2022).
\564\ U.S. EPA. ``Memo to Docket: Potential Federal Heavy-Duty
GHG Emission Standards Reflecting Technology Packages Including
California's ACT Levels of ZEV Adoption.'' March 2023. Docket EPA-
HQ-OAR-2022-0985.
Table II-35--Comparison of ZEV Technology Adoption Rates Between the Proposed Standards and California ACT
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) later (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposed
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 20 25 30 35 40 50
Short-Haul Tractors..................................... 10 12 15 20 30 35
Long-Haul Tractors...................................... 0 0 0 10 20 25
--------------------------------------------------------------------------------------------------------------------------------------------------------
CARB ACT
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 20 30 40 50 55 60
Tractors................................................ 15 20 25 30 35 40
--------------------------------------------------------------------------------------------------------------------------------------------------------
[[Page 26008]]
I. Small Businesses
EPA is proposing to make no changes to (i.e., maintain the
existing) MY 2027 and later GHG vehicle emission standards for any
heavy-duty manufacturers that meet the ``small business'' size criteria
set by the Small Business Administration.\565\ In other words, these
manufacturers would not be subject to the proposed revised MY 2027 and
new MYs 2028 through 2032 and later HD vehicle CO2 emission
standards but would remain subject to the HD vehicle CO2
emission standards previous set in HD GHG Phase 2.\566\ Additionally,
we are proposing that qualifying small business manufacturers could
continue to average within their averaging sets for each 2027 and later
model year to achieve the applicable standards; however, we are
proposing to restrict banking, trading, and the use of advanced
technology credit multipliers for credits generated against the Phase 2
standards for qualifying manufacturers that utilize this small business
interim provision.
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\565\ See our proposed updates to the definition of ``small
business'' in 40 CFR 1037.801.
\566\ See Section XI.C for our regulatory flexibility assessment
of the potential burden on small businesses. See also Section
III.C.2 for a description of the proposed revisions to 40 CFR
1037.150(c) that clarify the standards and proposed restrictions on
participation in the ABT program for MYs 2027 and later that we are
proposing would apply for qualifying small business vehicle
manufacturers that utilize the proposed interim provision.
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We are also proposing that vehicle manufacturers that qualify as a
small business may choose not to utilized the proposed interim
provision and voluntarily certify their vehicles to the Phase 3
standards without ABT participation restrictions if they certify all
their vehicle families within a given averaging set to the Phase 3
standards for the given MY. In other words, small businesses that opt
into the Phase 3 program for a given MY for all their vehicle families
within a given averaging set would be eligible for the full ABT program
for those vehicle families for that MY, including advanced technology
credit multipliers. While we are proposing not to apply the proposed
new standards for vehicles produced by small businesses, we propose
that some small business manufacturers would be subject to some other
new requirements we are proposing in this rule related to ZEVs, such as
the battery durability monitor and warranty provisions proposed in 40
CFR 1037.115(f) and described in Section III.B.
EPA may consider new GHG emission standards to apply for vehicles
produced by small business vehicle manufacturers as part of a future
regulatory action. At this time, we believe the proposed new standards,
which were developed based on technology packages using increasing
adoption of ZEVs, may create a disproportionate burden on small
business vehicle manufacturers. As described in DRIA Chapter 9, we have
identified a small number of manufacturers that would appear to qualify
as small businesses under the heavy-duty vehicle manufacturer category.
The majority of these small businesses currently only produce ZEVs,
while one company currently produces ICE vehicles.
Since there would only be a small emissions benefit from applying
the proposed standards to the relatively low production volume of ICE
vehicles produced by small businesses, we believe that maintaining the
existing HD vehicle CO2 standards for these companies at
this time would have a negligible impact on the overall GHG emission
reductions that the program would otherwise achieve. We request comment
on our assessment that the emission impact of this approach for small
businesses would be small considering the number and type of vehicle
manufacturers described in DRIA Chapter 9.
III. Compliance Provisions, Flexibilities, and Test Procedures
In this proposed rule, we are retaining the general compliance
structure of existing 40 CFR part 1037 with some revisions described in
this section. Vehicle manufacturers would continue to demonstrate that
they meet emission standards using emission modeling and EPA's
Greenhouse gas Emissions Model (GEM) and would use fuel-mapping or
powertrain test information from procedures established and revised in
previous rulemakings.\567\
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\567\ See the HD GHG Phase 2 rule (81 FR 73478, October 25,
2016), the Heavy-Duty Engine and Vehicle Technical Amendment rule
(86 FR 34308, June 29, 2021), and the HD2027 rule (88 FR 4296,
January 24, 2023). In this rulemaking, EPA is not reopening any
portion of our heavy-duty compliance provisions, flexibilities, and
testing procedures, including those in 40 CFR parts 1037, 1036, and
1065, other than those specifically identified in this document as
the subject of our proposal or a solicitation for comment. For
example, while EPA is proposing to revise discrete elements of the
HD ABT program, EPA is not reopening the general availability of
ABT.
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The existing HD GHG Phase 2 program provides flexibilities,
primarily through the HD GHG ABT program, that facilitate compliance
with the emission standards. In addition to the general ABT provisions,
the current HD GHG Phase 2 program also includes advanced technology
credit (including for BEVs and FCEVs) and innovative technology credit
provisions. As described in Section II of this preamble, the proposed
revisions to the existing MY 2027 Phase 2 GHG emission standards and
new proposed standards for MYs 2028 through 2032 are premised on
utilization of a variety of technologies, including technologies that
are considered advanced technologies in the existing HD GHG Phase 2 ABT
program. As also explained in Section II, we consider averaging in
supporting the feasibility of the proposed Phase 3 GHG standards in
this rule. Averaging and other aspects of the ABT program would also
continue to help provide additional flexibility for manufacturers to
make necessary technological improvements and reduce the overall cost
of the program, without compromising overall environmental objectives.
We are not proposing any changes to and are not reopening the use
of credits from MY 2027 and earlier in MY 2027 and later. In other
words, credits earned in HD GHG Phase 2 would be allowed to carry over
into Phase 3, subject to the existing credit life limitation of five
years, as described in 40 CFR 1037.740(c). Similarly, we are not
proposing any revisions to and are not reopening the allowance that
provides manufacturers three years to resolve credit deficits, as
detailed in 40 CFR 1037.745.
In Section III.A, we describe the general ABT program and how we
expect manufacturers to apply ABT to meet the proposed standards. In
Section III.A, we propose a revision to the definition of ``U.S.-
directed production volume'' to clarify consideration in this
rulemaking of nationwide production volumes, including those that may
in the future be certified to different state emission standards.\568\
This proposed revision is intended to address a potential interaction
between the existing definition of U.S.-directed production volume and
the ACT regulation for HD vehicles.\569\ Section III.A.2 includes
proposed updates to advanced technology credit provisions after
considering comments received on the HD2027 NPRM (87 FR 17592, March
28, 2022). In Section III.A.3, we request comment on other
flexibilities, including how credits could be used across averaging
sets. In Section III.B,
[[Page 26009]]
we propose durability monitoring requirements for BEVs and PHEVs,
clarify existing warranty requirements for PHEVs, and propose warranty
requirements for BEVs and FCEVs. Finally, in Section III.C, we propose
additional clarifying and editorial amendments to the HD highway engine
provisions of 40 CFR part 1036, the HD vehicle provisions of 40 CFR
part 1037 and the test procedures for HD engines in 40 CFR part 1065.
---------------------------------------------------------------------------
\568\ The proposed definition update includes corresponding
proposed clarifications throughout the HD engine and vehicle
regulations of 40 CFR parts 1036 and 1037, respectively.
\569\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023.
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A. Proposed Revisions to the ABT Program
As noted in the introduction to this section, we are generally
retaining the HD GHG Phase 2 ABT program that allows for emission
credits to be averaged, banked, or traded within each of the averaging
sets specified in 40 CFR 1037.740(a). To generate credits, a vehicle
manufacturer must reduce CO2 emission levels below the level
of the standard for one or more vehicle families. The manufacturer can
use those credits to offset higher emission levels from vehicles in the
same averaging set such that the averaging set meets the standards on
``average'', ``bank'' the credits for later use, or ``trade'' the
credits to another manufacturer. The credits are calculated based on
the production volume of the vehicles in the averaging set and their
respective emission levels relative to the standard. To incentivize the
research and development of the new technologies, the current HD
vehicle ABT program also includes credit multipliers for certain
advanced technologies. In this Section III.A, we describe proposed
changes to two aspects of the ABT program: the applicable production
volume for use in calculating ABT credits and credit multipliers for
advanced technologies. We also request comment on other potential
flexibilities we could consider adopting in this rule.
1. U.S-Directed Production Volume
As described in Section II, the proposed Phase 3 GHG vehicle
standards include consideration of nationwide production volumes.
Correspondingly, we are proposing that the GHG ABT program for
compliance with those standards would be applicable to the same
production volumes considered in setting the standards. In Section II,
we also request comment on how to account for ZEV adoption rates that
would result from compliance with the California ACT program in setting
the proposed GHG standards.\570\ The existing HD GHG Phase 2 vehicle
program has certain provisions (based off the regulatory definition of
``U.S.-directed production volume'') that would exclude production
volumes that are certified to different state emission standards,
including exclusion from participation in ABT. To address this
potential interaction between the existing definition of U.S.-directed
production volume and the ACT regulation for HD vehicles, we propose a
revision to the definition of ``U.S.-directed production volume.'' The
proposed revision would clarify that in this rulemaking we consider
nationwide production volumes, including those that may in the future
be certified to different state emission standards, within the proposed
Phase 3 standards described in Section II and within the ABT GHG
vehicle program.
---------------------------------------------------------------------------
\570\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023.
---------------------------------------------------------------------------
The exclusion of engines and vehicles certified to different state
standards in the existing definitions have not impacted the HD GHG
program under parts 1036 and 1037 to-date because California has
adopted GHG emission standards for HD engines and vehicles that align
with the Federal HD GHG Phase 1 and Phase 2
standards.571 572 As discussed in Section I, the ACT
regulation requires manufacturers to produce and sell increasing
numbers of zero-emission medium- and heavy-duty highway vehicles. Given
the distinct difference between what is required under the ACT compared
to the existing Phase 2 vehicle program and the HD vehicle GHG
standards proposed under this rulemaking, we are considering the impact
of the ACT on the HD GHG vehicle program. To that end, we are proposing
that the revision to this definition revision apply starting with MY
2024 to provide consistent treatment of any production volumes
certified to ACT. We request comment on the MY 2024 start and whether
other options should be considered for transitioning to this new
definition.
---------------------------------------------------------------------------
\571\ California Air Resources Board. ``Final Regulation Order
for Phase 1 Greenhouse Gas Regulations.'' December 5, 2014,
available at https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2013/hdghg2013/hdghgfrot13.pdf.
\572\ California Air Resources Board. ``Final Regulation Order
for Phase 2 Greenhouse Gas Regulations and Tractor-Trailer GHG
Regulations.'' April 1, 2019, available at https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2018/phase2/finalatta.pdf?_ga=2.122416523.1825165293.1663635303-1124543041.1635770745.
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The existing definition of ``U.S.-directed production volume'' for
HD vehicles explicitly does not include vehicles certified to state
emission standards that are different than the emission standards in 40
CFR part 1037.\573\ The term U.S.-directed production volume is key in
how the existing regulations direct manufacturers to calculate credits
in the HD vehicle ABT GHG program, in 40 CFR part 1037, subpart H. In
the existing regulations, vehicle production volumes that are excluded
from that term's definition cannot generate credits. EPA first excluded
such production volumes from participation in HD ABT in a 1990
rulemaking on NOX emissions from HD engines. In the preamble
to that rulemaking, which established NOX and PM banking and
trading and expanded the averaging program for HD engines, EPA
explained that HDEs certified under the California emission control
program are excluded from this program.\574\ We further explained that
HDEs certified under the California emission control program may not
generate credits for use by Federal engines (49-state) or use credits
generated by Federal engines.\575\ In addition, we explained that while
fifty-state engines participating in the Federal banking, trading or
averaging programs may be sold in California if their FELs are lower
than the applicable emission standard, California engines may not
generate credits for the Federal program.\576\
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\573\ An equivalent definition of ``U.S-directed production
volume'' can be found at 40 CFR 1036.801 for HD engines.
\574\ 55 FR 30592, July 26, 1990.
\575\ 55 FR 30592, July 26, 1990.
\576\ 55 FR 30592, July 26, 1990.
---------------------------------------------------------------------------
In 2001, in a rulemaking that established criteria pollutant
emission standards phasing in to MY 2010 and later for HD engines and
vehicles, EPA adopted a definition for ``U.S.-directed production.''
The adopted definition included similar regulatory language to our
existing part 1037 definition.\577\ Regarding compliance with the MY
2007-2009 emission standards phase-in requirements, which were based on
percentage of production volumes meeting the MY 2010 and later
standards, EPA again noted our intent to exclude production volumes
certified to different state standards. We explained that we were
clarifying that this phase-in excludes California complete heavy-
[[Page 26010]]
duty vehicles, which are already required to be certified to the
California emission standards.\578\ We further explained that the
phase-in also excludes vehicles sold in any state that has adopted
California emission standards for complete heavy-duty vehicles.\579\ We
also explained that it would be inappropriate to allow manufacturers to
``double-count'' the vehicles by allowing them to count those vehicles
both as part of their compliance with this phase-in and for compliance
with California requirements.\580\ In addition, we noted that we would
handle HD engines similarly if California were to adopt different
emission standards than those being established by this rule.\581\
---------------------------------------------------------------------------
\577\ 66 FR 5002, 5159, January 18, 2001 (amending 40 CFR
86.004-2 to add a definition for ``U.S.-directed production'' where
``U.S.-directed production means the engines and/or vehicles (as
applicable) produced by a manufacturer for which the manufacturer
has reasonable assurance that sale was or will be made to ultimate
purchasers in the United States, excluding engines and/or vehicles
that are certified to state emission standards different than the
emission standards in [40 CFR part 86].'').
\578\ 66 FR at 5043, January 18, 2001.
\579\ 66 FR at 5043, January 18, 2001.
\580\ 66 FR at 5043, January 18, 2001.
\581\ 66 FR at 5043, January 18, 2001.
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In the HD GHG Phase 1 rule, EPA adopted the existing definitions of
U.S.-directed production volume in 40 CFR 1036.801 and 1037.801, which
were unchanged in HD GHG Phase 2 and currently apply for HD engines and
vehicles.\582\
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\582\ 76 FR 57397 and 57431, September 15, 2011; 81 FR 74043 and
74123, October 25, 2016.
---------------------------------------------------------------------------
We are proposing a revision to the definition of ``U.S.-directed
production volume'' in 40 CFR 1037.801 such that it represents the
total nationwide production volumes, including vehicles certified to
state emission standards that are different than the emission standards
of 40 CFR part 1037. As described in Section II, the proposed standards
are feasible and appropriate based on nationwide adoption rates of
technology packages that include adoption of ZEV technologies.
Manufacturers may be motivated to produce ZEVs by this rule and in
response to other initiatives and we want to support any U.S. adoption
of these technologies by allowing manufacturers to account for their
nationwide production volumes to comply with the proposed standards. We
recognize that the existing definition of ``U.S.-directed production
volume'' may cause challenges to manufacturer plans, including long-
term compliance planning, due to the uncertainty surrounding whether
additional states may adopt more stringent standards in the future.
Given that EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023, the existing definition of
U.S.-directed production volume excludes all vehicles (ICE vehicles and
ZEVs) certified to meet the ACT program in California and any other
states that adopt the ACT.\583\ In this scenario, the ZEV production
volumes destined for California and other states would correspond to a
large portion of the nationwide production on which the proposed EPA
standards are based, and it would be challenging for vehicle
manufacturers to comply with the proposed standards if they could not
account for those ZEVs. As described in Section II, we request comment
on how to account for ZEV adoption rates that would result from
compliance with the California ACT program in setting the proposed GHG
standards. If we were to finalize standards that account for the ACT
program, we expect to similarly base the final standards on nationwide
production volumes that would continue to rely on our proposal to
revise the current definition of U.S.-directed production volume to
include nationwide production.
---------------------------------------------------------------------------
\583\ As of September 2022, the following states have adopted
California's ACT program: Massachusetts, New York, New Jersey,
Washington, and Oregon.
---------------------------------------------------------------------------
We are proposing this revision consistent with our intended
approach of considering such production volumes in setting the
stringency of the Phase 3 standards in this rulemaking, as well as
allowing inclusion of such production volumes in demonstrating
compliance with the standards through participation in the HD vehicle
ABT GHG program. We believe this approach would address both the
potential ``double counting'' issue EPA previously articulated in past
HD rulemakings and the potential difficulties surrounding
manufacturers' long-term compliance planning (due to the uncertainty
surrounding whether additional states may adopt the California ACT
program in the future) we recognize in the context of this rulemaking.
Our proposed revision would also align with the approach in the LD GHG
program.
In addition to this proposed revision to the definition of ``U.S.-
directed production volume'', we are proposing additional conforming
amendments throughout 40 CFR part 1037 to streamline references to the
revised definition; see Section III.E.3 for further discussion on one
of those proposed revisions.\584\
---------------------------------------------------------------------------
\584\ As discussed in Section III.C.3, we are also proposing a
similar update to the heavy-duty highway engine definition of
``U.S.-directed production volume'' in 40 CFR 1036.801, with
additional proposed updates where it is necessary to continue to
exclude production volumes certified to different standards (i.e.,
the ABT program for highway heavy-duty engines).
---------------------------------------------------------------------------
2. Advanced Technology Credits for CO2 Emissions
In HD GHG Phase 1, we provided advanced technology credits for
hybrid powertrains, Rankine cycle waste heat recovery systems on
engines, all-electric vehicles, and fuel cell electric vehicles to
promote the implementation of advanced technologies that were not
included in our technical basis of the feasibility of the Phase 1
emission standards (see 40 CFR 86.1819-14(k)(7), 1036.150(h), and
1037.150(p)). The HD GHG Phase 2 CO2 emission standards that
followed Phase 1 were premised on the use of mild hybrid powertrains in
vocational vehicles and waste heat recovery systems in a subset of the
engines and tractors, and we removed mild hybrid powertrains and waste
heat recovery systems as options for advanced technology credits. At
the time of the HD GHG Phase 2 final rule, we believed the HD GHG Phase
2 standards themselves provided sufficient incentive to develop those
specific technologies. However, none of the HD GHG Phase 2 standards
were based on projected utilization of the other even more-advanced
Phase 1 advanced credit technologies (e.g., plug-in hybrid electric
vehicles, all-electric vehicles, and fuel cell electric vehicles). For
HD GHG Phase 2, EPA promulgated advanced technology credit multipliers
through MY 2027, as shown in Table III-1 (see also 40 CFR 1037.150(p)).
Table III-1--Advanced Technology Multipliers in Existing HD GHG Phase 2
for MYs 2021 Through 2027
------------------------------------------------------------------------
Technology Multiplier
------------------------------------------------------------------------
Plug-in hybrid electric vehicles........................ 3.5
All-electric vehicles................................... 4.5
Fuel cell electric vehicles............................. 5.5
------------------------------------------------------------------------
As stated in the HD GHG Phase 2 rulemaking, our intention with
these multipliers was to create a meaningful incentive for those
manufacturers considering developing and applying these qualifying
advanced technologies into their vehicles. The multipliers under the
existing program are consistent with values recommended by CARB in
their HD GHG Phase 2 comments.\585\ CARB's values were based on a cost
analysis that compared the costs of these advanced technologies to
costs of other GHG-reducing
[[Page 26011]]
technologies. CARB's cost analysis showed that multipliers in the range
we ultimately promulgated as part of the HD GHG Phase 2 final rule
would make these advanced technologies more competitive with the other
GHG-reducing technologies and could allow manufacturers to more easily
generate a viable business case to develop these advanced technologies
for HD vehicles and bring them to market at a competitive price.
---------------------------------------------------------------------------
\585\ Letter from Michael Carter, CARB, to Gina McCarthy,
Administrator, EPA and Mark Rosekind, Administrator, NHTSA, June 16,
2016. EPA Docket ID EPA-HQ-OAR-2014-0827_attachment 2.
---------------------------------------------------------------------------
In establishing the multipliers in the HD GHG Phase 2 final rule,
we also considered the tendency of the HD sector to lag behind the
light-duty sector in the adoption of a number of advanced technologies.
There are many possible reasons for this, such as:
HD vehicles are more expensive than light-duty vehicles,
which makes it a greater monetary risk for purchasers to invest in new
technologies.
These vehicles are primarily work vehicles, which makes
predictable reliability and versatility important.
Sales volumes are much lower for HD vehicles, especially
for specialized vehicles.
At the time of the HD GHG Phase 2 rulemaking, we concluded that as
a result of factors such as these, and the fact that adoption rates for
the aforementioned advanced technologies in HD vehicles were
essentially non-existent in 2016, it seemed unlikely that market
adoption of these advanced technologies would grow significantly within
the next decade without additional incentives.
As we stated in the HD GHG Phase 2 final rule preamble, our
determination that it was appropriate to provide large multipliers for
these advanced technologies, at least in the short term, was because
these advanced technologies have the potential to lead to very large
reductions in GHG emissions and fuel consumption, and advance
technology development substantially in the long term. However, because
the credit multipliers are so large, we also stated that they should
not necessarily be made available indefinitely. Therefore, they were
included in the HD GHG Phase 2 final rule as an interim program
continuing only through MY 2027.
The HD GHG Phase 2 CO2 emission credits for HD vehicles
are calculated according to the existing regulations at 40 CFR
1037.705. For BEVs and FCEVs, the family emission level (FEL) value for
CO2 emissions is deemed to be 0 grams per ton-mile.\586\
Under those existing regulations, the CO2 emission credits
for HD BEVs built between MY 2021 and MY 2027 would be multiplied by
4.5 (or the values shown in Table III-1 for the other technologies)
and, for discussion purposes, can be visualized as split into two
shares.\587\ The first share of credits would come from the reduction
in CO2 emissions realized by the environment from a BEV that
is not emitting from the tailpipe, represented by the first 1.0 portion
of the multiplier. Therefore, each BEV or FCEV produced receives
emission credits equivalent to the level of the standard, even before
taking into account the effect of a multiplier. The second share of
credits does not represent CO2 emission reductions realized
in the real world but rather, as just explained, was established by EPA
to help incentivize a nascent market: in this example, the emission
credits for BEVs built between MY 2021 and 2027 receive an advanced
technology credit multiplier of 4.5, i.e., an additional 3.5 multiple
of the standard.
---------------------------------------------------------------------------
\586\ 40 CFR 1037.150(f).
\587\ 40 CFR 1037.705.
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The HD GHG Phase 2 advanced technology credit multipliers represent
a tradeoff between incentivizing new advanced technologies that could
have significant benefits well beyond what is required under the
standards and providing credits that do not reflect real world
reductions in emissions, which could allow higher emissions from
credit-using engines and vehicles. At low adoption levels, we believe
the balance between the benefits of encouraging additional
electrification as compared to any negative emissions impacts of
multipliers would be appropriate and would justify maintaining the
current advanced technology multipliers. At the time we finalized the
HD GHG Phase 2 program in 2016, we balanced these factors based on our
estimate that there would be very little market penetration of ZEVs in
the heavy-duty market in the MY 2021 to MY 2027 timeframe, during which
the advanced technology credit multipliers would be in effect.
Additionally, the primary technology packages in our technical basis of
the feasibility of the HD GHG Phase 2 standards did not include any
ZEVs.
In our assessment conducted during the development of HD GHG Phase
2, we found only one manufacturer had certified HD BEVs through MY
2016, and we projected ``limited adoption of all-electric vehicles into
the market'' for MYs 2021 through 2027.\588\ However, as discussed in
Section II, we are now in a transitional period where manufacturers are
actively increasing their PHEV, BEV, and FCEV HD vehicle offerings and
are being further supported through the IRA tax credits, and we expect
this growth to continue through the remaining timeframe for the HD GHG
Phase 2 program and into the proposed Phase 3 program timeframe.
---------------------------------------------------------------------------
\588\ 81 FR 75300 (October 25, 2016).
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i. Advanced Technology Credits in the HD2027 NPRM
We requested comment in the HD2027 NPRM on three approaches that
would reduce the number of incentive credits produced by battery
electric vehicles in the MY 2024 through MY 2027 timeframe. The three
approaches considered in the HD2027 NPRM (87 FR 17605-17606) are
summarized as follows:
Approach 1: The MY 2024 through MY 2027 ZEVs certified in
California to meet the ACT program would not receive the advanced
technology credit multipliers that currently exist.
Approach 2: The advanced technology credits generated by a
manufacturer would be capped on an annual basis. Advanced technology
credits generated for EVs on an annual basis that are under a cap would
remain unchanged. Above the cap, the multipliers would effectively be a
value of 1.0; in other words, after a manufacturer reaches their cap in
any model year, the multipliers would no longer be available and would
have no additional effect on credit calculations. This advanced
technology credit cap approach would limit the credits generated by a
manufacturer's use of the advanced technology credit multipliers for
battery electric vehicles to the following levels of CO2 per
manufacturer per model year beginning in MY 2024 and extending through
MY 2027:
[cir] Light Heavy-Duty Vehicle Averaging Set: 42,000 Mg
CO2.
[cir] Medium Heavy-Duty Vehicle Averaging Set: 75,000 Mg
CO2.
[cir] Heavy Heavy-Duty Vehicle Averaging Set: 325,000 Mg
CO2.
Approach 3: Phase-out the magnitude of the credit
multipliers from MY 2024 through MY 2027.
EPA received a number of comments on the HD2027 NPRM in response to
our request for comment on potential approaches to modify the existing
Advanced Technology Credit multipliers. The entire set of comments may
be found in Section 28 of EPA's Response to Comments Document for the
HD2027 final rule.\589\
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\589\ U.S. EPA, ``Control of Air Pollution from New Motor
Vehicles: Heavy-Duty Engine and Vehicle Standards--Response to
Comments.'' Section 28. Docket EPA-HQ-OAR-2019-0055.
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Several commenters supported Approach 1, sometimes along with
[[Page 26012]]
Approach 3. A common theme in these comments was that the incentive
provided by the credit multipliers is not warranted for ZEVs that will
already be produced due to state requirements. Some commenters also
stated that the credit multipliers should not apply to any state that
adopts ACT and should not be limited to California. Another commenter
suggested an alternate approach whereby credit multipliers would not be
provided for the vehicle segments targeted in the HD2027 NPRM for early
adoption, such as some vocational vehicles and short-haul tractors, but
remain available for other vehicle segments.
Other commenters raised concerns with Approach 1. For example, some
commenters stated that the states' adoption of the ACT rule is
unpredictable and may have a negative impact on manufacturer and
supplier development plans. Another commenter raised a concern that
eliminating the credit multipliers for ZEVs sold in California could
impact manufacturers unequally and have a greater negative impact on
manufacturers with more ZEV sales in California. One commenter
suggested that this approach would create a disincentive for additional
states to adopt ACT. Another commenter recommended that if EPA selects
this approach, then EPA should consider allowing credit multipliers for
ZEVs sold in California that exceed the ACT sales requirements.
Finally, another commenter raised concerns about the implementation of
this approach because it is difficult for manufacturers to account for
sales by state in the heavy-duty market.
No commenters expressed support for Approach 2, and some commenters
raised potential concerns with this approach. For example, a commenter
stated this approach creates a disincentive to produce ZEVs above the
annual cap and would negatively impact manufacturers that sell a
greater number of ZEVs by making a smaller percentage of their fleet
eligible for the credit multipliers. One commenter questioned whether a
cap approach, while an incentive to small manufacturers and low volume
ZEV producers, would incentivize additional sales beyond what is
required by the states that adopt ACT under CAA section 177.
Many commenters supported a phase out or elimination of the credit
multipliers, similar to Approach 3. A theme among many of the
commenters was to phase out the credit multiplier as soon as
practicable, with some commenters suggesting the phase out begin as
early as MY 2024. On the other hand, two commenters suggested an annual
decrease in the value of the credit multipliers to prevent a potential
pre-buy situation. Common themes expressed by the commenters supporting
an elimination of phase-out of the credit multipliers included stating
that the credit multipliers are no longer necessary because of state
requirements and that the credit multipliers reduce the overall
effectiveness of the HD GHG regulatory program. One concern raised by a
commenter is that the existing credit multipliers would slow the
progression of CO2-reducing technologies for HD vehicles
that are powered by ICE. Some commenters suggested removing the credit
multipliers for all of the existing technologies qualifying for
advanced technology credits, including PHEVs, BEVs, and FCEVs.
Some of the commenters opposed any changes to the existing credit
multipliers. Some commenters indicated that the credit multipliers are
necessary to justify the research and development of these new and
higher-cost technologies into new markets. They also noted that the
credit multipliers provide a role in the overall suite of incentives
for ZEVs and infrastructure in the HD market. Two commenters suggested
extending the credit multipliers beyond MY 2027 to allow the HD ZEV
market to further mature.
ii. Proposed Changes to the Advanced Technology Credit Multipliers
While we did anticipate some growth in electrification would occur
due to the credit incentives in the HD GHG Phase 2 final rule when we
finalized the rule, we did not expect the level of innovation since
observed, the IRA or BIL incentives, or that California would adopt the
ACT rule at the same time these advanced technology multipliers were in
effect. Based on this new information, we believe the existing advanced
technology multiplier credit levels may no longer be appropriate for
maintaining the balance between encouraging manufacturers to continue
to invest in new advanced technologies over the long term and potential
emissions increases in the short term. We believe that, if left as is,
the multiplier credits could allow for backsliding of emission
reductions expected from ICE vehicles for some manufacturers in the
near term (i.e., the generation of excess credits which could delay the
introduction of technology in the near or mid-term) as sales of
advanced technology vehicles which can generate the incentive credit
continue to increase.
After considering the comments received on the HD2027 NPRM and the
proposed HD vehicle Phase 3 GHG standards and program described in
Section II and this Section III, we propose to phase-out the advanced
technology credit multipliers for HD plug-in hybrid and battery
electric vehicles after MY 2026, one year earlier than what is
currently in the regulations. We weighed several considerations in
proposing this one year earlier phase-out. We do not foresee a need for
any advanced technology credits for these technologies to extend past
MY 2026. We recognize the need to continue to incentivize the
development of BEVs in the near-term model years, prior to MY 2027.
However, our analysis of the feasibility of PHEVs and BEVs described in
Section II indicates there is sufficient incentive for those
technologies for the model years we are proposing HD vehicle Phase 3
GHG emission standards (MYs 2027 through 2032). We note that we did not
rely on credits generated from credit multipliers in developing the
proposed HD vehicle Phase 3 emission standards, however this
flexibility further supports the feasibility of the proposed Phase 3
emission standards.
As explained earlier in this subsection, we recognize that a
portion of the credits that result from an advanced technology
multiplier do not represent CO2 emission reductions realized
in the real world and thus should be carefully balanced amongst the
other considerations. We considered that we are proposing to revise the
existing regulatory definition of ``U.S.-directed production volume,''
as discussed in Section II, such that vehicle production volumes sold
in California or Section 177 states that adopt ACT would be included in
the ABT credit calculations and continuing to allow these multipliers
could create a large bank of credits with the potential to delay the
real world benefits of the proposed program. We also took into
consideration that the IRA and other new incentives are available that
could help reduce the role of the multipliers. Finally, we recognize
that some manufacturers' long-term product plans for PHEV or BEV
technologies may have extended to model years closer to MY 2027 when
the HD GHG Phase 2 standards were at their most stringent levels. We
are proposing a MY 2026 phase-out for PHEV and BEV credit multipliers,
in part, because it is expected to have a lesser impact on current
manufacturer product plans. We request comment on our proposed MY
[[Page 26013]]
2026 phase-out date or whether we should consider other approaches to
account for ACT or incentive programs.
We propose to revise existing 40 CFR 1037.150(p) to reflect the
proposed phase-out of advanced technology credit multipliers for BEVs
and PHEVs and clarify the applicable standards for calculating credits.
We propose parallel edits to existing 40 CFR 1037.615(a) to clarify
when the advanced technology credit calculations described in that
section would apply. We are not proposing any changes to the existing
advanced technology multipliers for fuel cell electric vehicles, which
continue to apply through MY 2027. We believe it is still appropriate
to incentivize fuel cell technology, because it has been slower to
develop in the HD market, as discussed in Section II.D, but request
comment on this approach for FCEVs. Additionally, we are retaining and
are not reopening the existing off-cycle provisions of 40 CFR 1037.610
that allow manufacturers to request approval for other ``innovative''
technologies not reflected in GEM.
3. Other Potential HD CO2 Emission Credit Flexibilities
We recognize that the proposed HD GHG Phase 3 standards would
require significant investments from manufacturers to reduce GHG
emissions from HD vehicles. We request comment on the potential need
for additional flexibilities to assist manufacturers in the
implementation of Phase 3.
Specifically, we request comment on providing the flexibility for
manufacturers to use advanced technology credits across averaging sets,
subject to a cap. In HD GHG Phase 1, the advanced technology credits
earned a multiplier of 1.5 and they could be applied to any heavy-duty
engine or vehicle averaging set.\590\ To prevent market distortions, we
capped the amount of advanced credits that could be brought into any
service class in any model year of the Phase 1 program at 60,000 Mg. In
HD GHG Phase 2, we adopted larger advanced technology multipliers, and
we discontinued the allowance for advanced technology credits to be
used across averaging sets. The primary reason for the averaging set
restriction was to reduce the risk of market distortions if we allowed
the use of the credits across averaging sets combined with the larger
credit multipliers.\591\ As discussed in Section III.A.2, we are
proposing to phase-out the advanced technology credit multipliers for
HD plug-in hybrid and battery electric vehicles after MY 2026, one year
earlier than what is currently in the regulations, and under the
existing regulations the fuel cell electric vehicle advanced technology
multipliers end after MY 2027.
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\590\ 40 CFR 1036.740(c) and 1037.740(b).
\591\ 81 FR 73498 (October 25, 2016).
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We recognize the proposed Phase 3 standards would require the
increasing use of CO2 emission reducing technologies. During
this proposed Phase 3 standards transition, we are considering whether
additional flexibilities in the Phase 3 program emissions credit ABT
program design may be warranted, similar to the Phase 1 provision which
allowed credits generated from advanced technologies to be transferred
across averaging sets. We request comment on including a similar
flexibility for the Phase 3 program. For example, we may consider an
interim provision that would allow vehicle CO2 credits
generated by PHEVs, BEVs, and FCEVs to be used across vehicle averaging
sets or possibly across engine averaging sets as specified in 40 CFR
part 1036. If we were to adopt such an allowance, we would expect this
flexibility to begin with MY 2027 and end after the last year the new
Phase 3 standards phase-in, which as proposed is after MY 2032. We also
would expect to restrict the number of credits (i.e., the quantity of
CO2 megagrams) that could be transferred from one averaging
set to another in a given model year, considering the level of the
standards and our goal to prevent market distortions, and we request
comment on what an appropriate restriction should be. We also may set
different credits transfer cap values per averaging set that vary
across the various averaging sets. We request comment on the model
years and credit volume limitations we should consider for such an
allowance for PHEV, BEV, and FCEV generated CO2 credits. We
also request comment on extending this flexibility with some
restrictions to the PHEV, BEV, and FCEV generated CO2
credits from chassis-certified Class 2b and Class 3 vehicles. More
specifically, we request comment on allowing PHEV, BEV, and FCEV
generated CO2 credits in the chassis-certified Class 2b and
Class 3 vehicle category (under the part 86, subpart S ABT program for
MYs 2027-2032) to be used in the HD Phase 3 light heavy-duty and medium
heavy-duty vehicle averaging sets (under the part 1037 ABT program for
MYs 2027-2032) in a single direction of movement (i.e., not into the
heavy heavy-duty averaging set, and not allowing HD Phase 3 credits
from light heavy-duty and medium heavy-duty averaging sets to be
transferred into the chassis-certified Class 2b and Class 3 vehicle
category), and similarly request comment on what appropriate
restrictions to MYs and credit volume limitations should be included if
adopted.
We also request comment on considerations of a program similar to
CARB's credit program included in their ACT rule. As briefly described
in DRIA Chapter 1.3.3, CARB would apply vehicle class-specific ``weight
class modifiers'' (i.e., credit multipliers) for credits generated by
ZEVs and near zero-emission vehicles to further incentivize adoption
electrification of the larger vehicle classes.\592\
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\592\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Section 1963.2. Filed March 15,
2021. Available at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf.
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B. Battery Durability Monitoring and Warranty Requirements
This section describes our proposal to adopt battery durability
monitoring requirements for BEVs and PHEVs and to clarify how warranty
applies for several advanced technologies. Our proposal is motivated by
three factors: BEV, PHEV, and FCEV are playing an increasing role in
vehicle manufacturers' compliance strategies to control GHG emissions
from HD vehicles; BEV, PHEV, and FCEV durability and reliability are
important to achieving the GHG emissions reductions projected by this
proposed program; and that GHG emissions credit calculations are based
on mileage over a vehicle's full useful life.
1. Battery and Plug-In Hybrid Electric Vehicle Durability Monitoring
Requirements
EPA's HD vehicle GHG emission standards apply for the regulatory
useful life of the HD vehicle, consistent with CAA section 202(a)(1)
(``Such standards shall be applicable to such vehicles and engines for
their useful life''). Accordingly, EPA has historically required
manufacturers to demonstrate the durability of their emission control
systems on vehicles, including under our CAA section 206 authority.
Without durability demonstration requirements, EPA would not be able to
assess whether vehicles originally manufactured in compliance with
relevant emissions standards would remain compliant over the course of
their useful life. Recognizing that BEVs, PHEVs, and FCEVs are playing
an increasing role in manufacturers' compliance strategies, and that
emission credit calculations are based on mileage over a vehicle's
useful life, the same logic applies to BEV, PHEV, and FCEV
[[Page 26014]]
durability. Under 40 CFR part 1037, subpart H, credits are calculated
by determining the family emission limit (FEL) each vehicle achieves
beyond the standard and multiplying that by the production volume and a
useful life mileage attributed to each vehicle subfamily.\593\ Having a
useful life mileage figure for each vehicle subfamily is integral to
calculating the credits attributable to that vehicle, whether those
credits are used for calculating compliance through averaging, or for
banking or trading. Compliance with standards through averaging depends
on all vehicles in the regulatory subcategory, or averaging set,
achieving their certified level of emission performance throughout
their useful life. As explained in Section II and this Section III, EPA
also anticipates most if not all manufacturers would include the
averaging of credits generated by BEVs and FCEVs as part of their
compliance strategies for the proposed standards, thus this is a
particular concern given that the calculation of credits for averaging
(as well as banking and trading) depend on the battery and emission
performance being maintained for the full useful life of the vehicle.
Thus, without durability requirements applicable to such vehicles
guaranteeing certain performance over the entire useful life of the
vehicles, EPA is mindful that there would not be a guarantee that a
manufacturer's overall compliance with emission standards would
continue throughout that useful life. Similarly, EPA is concerned that
we would not have assurance that the proposed standards would achieve
the emission reductions projected by this proposed program. Therefore,
EPA is proposing new battery durability monitoring for HD BEVs and
PHEVs as a first key step towards this end, beginning with MY 2027.
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\593\ The useful life values for the HD vehicle standards are
located in 40 CFR 1037.105(e) and 1037.106(e).
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As implemented by light-duty vehicle manufacturers in current BEVs
and PHEVs, lithium-ion battery technology has been shown to be
effective and durable for use and we expect that this will also be the
case for HD BEVs and PHEVs. It is also well known that the energy
capacity of a battery will naturally degrade to some degree with time
and usage, resulting in a reduction in driving range as the vehicle
ages. The degree of this energy capacity and range reduction
effectively becomes an issue of durability if it negatively affects how
the vehicle can be used, or how many miles it is likely to be driven
during its useful life.
Vehicle and engine manufacturers are currently required to account
for potential battery degradation in both hybrid and plug-in hybrid
vehicles that could result in an increase in CO2 emissions
(see, e.g., existing 40 CFR 1037.241(c) and 1036.241(c)).\594\ In
addition, engine manufacturers are required to demonstrate compliance
with criteria pollutant standards using fully aged emission control
components that represent expected degradation during useful life (see,
e.g., 40 CFR 1036.235(a)(2) and 1036.240). EPA is applying this well-
established approach to the durability of BEV and PHEV batteries by
proposing to require battery durability monitoring.
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\594\ As discussed in Section III.C.3.vi, we are proposing to
remove 40 CFR 1037.241(b), which if finalized, 40 CFR 1037.241(c)
will be moved to 40 CFR 1037.241(b).
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The proposed requirements are similar to the battery durability
monitor regulation framework developed by the United Nations Economic
Commission for Europe (UN ECE) and adopted in 2022 as Global Technical
Regulation (GTR) No. 22. The proposed durability monitoring regulations
would require manufacturers of BEVs and PHEVs to develop and implement
an on-board state-of-certified-energy (SOCE) monitor that can be read
by the vehicle user. We are not proposing durability monitoring
requirements for FCEVs at this time because the technology is currently
still emerging in heavy-duty vehicle applications and we are still
learning what the appropriate metric might be for quantifying FCEV
performance.
The importance of battery durability in the context of zero-
emission and hybrid vehicles, such as BEVs and PHEVs, is well
documented and has been cited by several authorities in recent years.
In their 2021 report, the National Academies of Science (NAS)
identified battery durability as an important issue with the rise of
electrification. Among the findings outlined in that report, NAS noted
that: ``battery capacity degradation is considered a barrier for market
penetration of BEVs,'' and that ``[knowledge of] real-world battery
lifetime could have implications on R&D priorities, warranty provision,
consumer confidence and acceptance, and role of electrification in fuel
economy policy.'' NAS also noted that ``life prediction guides battery
sizing, warranty, and resale value [and repurposing and recycling]'',
and discussed at length the complexities of state of health (SOH)
estimation, life-cycle prediction, and testing for battery
degradation.\595\
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\595\ National Academies of Sciences, Engineering, and Medicine
2021. ``Assessment of Technologies for Improving Light-Duty Vehicle
Fuel Economy 2025-2035''. Washington, DC: The National Academies
Press. https://doi.org/10.17226/26092, p. 5-113 to 5-115.
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Several rulemaking bodies have also recognized the importance of
battery durability in a world with rapidly increasing numbers of zero-
emission vehicles. In 2015, the United Nations Economic Commission for
Europe began studying the need for a GTR governing battery durability
in light-duty vehicles. In 2021, it finalized United Nations GTR No.
22, ``In-Vehicle Battery Durability for Electrified Vehicles,'' \596\
which provides a regulatory structure for contracting parties to set
standards for battery durability in light-duty BEVs and PHEVs. In 2022,
the United Nations Economic Commission for Europe began studying the
need for a GTR governing battery durability in heavy-duty vehicles. EPA
representatives chaired the informal working group that developed the
GTR and worked closely with global regulatory agencies and industry
partners to complete its development in a form that could be adopted in
various regions of the world, including potentially the United States.
The European Commission and other contracting parties have also
recognized the importance of durability provisions and are working to
adopt the GTR standards in their local regulatory structures. In
addition, the California Air Resources Board, as part of the Zero-
Emission Powertrains (ZEP) Certification program, has also included
battery durability and warranty requirements as part of a suite of
customer assurance provisions designed to ensure that zero-emission
vehicles maintain similar standards for usability, useful life, and
maintenance as for ICE vehicles.\597\
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\596\ United Nations Economic Commission for Europe, Addendum
22: United Nations Global Technical Regulation No. 22, United
Nations Global Technical Regulation on In-vehicle Battery Durability
for Electrified Vehicles, April 14, 2022. Available at: https://unece.org/sites/default/files/2022-04/ECE_TRANS_180a22e.pdf.
\597\ California Air Resources Board. ``Attachment C: California
Standards and Test Procedures for New 2021 and Subsequent Model
Heavy-Duty Zero-Emissions Powertrains'', available at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/zepcert/froattc.pdf (last accessed September 20, 2021) (see Section D for
details of CARB rated energy capacity test procedure requirements).
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EPA concurs with the emerging consensus that battery durability is
an important issue. The ability of a zero-emission vehicle to achieve
the expected emission reductions during its lifetime depends in part on
the ability of the battery to maintain sufficient
[[Page 26015]]
driving range, capacity, power, and general operability for a period of
use comparable to that expected of a comparable ICE vehicle. Durable
and reliable electrified vehicles are therefore critical to ensuring
that projected emissions reductions are achieved by this proposed
program.
Because vehicle manufacturers can use electrification as an
emissions control technology to comply with EPA standards as well as
generate credits for use in averaging, and also banking and trading,
EPA believes that it is appropriate to set requirements to ensure that
electrified vehicles certifying to EPA standards are durable and
capable of providing the anticipated emissions reductions, including
those that they are credited under our provisions. For example, in
order for the environmental emission reductions that are credited to
BEVs and PHEVs to be fully realized under this proposed rule's
structure, it is important that their potential to achieve a similar
mileage during their lifetime be comparable to that assumed for ICE
vehicles in the same vehicle service class. In addition, under the EPA
GHG program, BEVs and PHEVs generate credits that can be traded among
manufacturers and used to offset debits generated by vehicles using
other technologies that do not themselves meet the proposed standards.
In either case, if credits generated by zero-emission vehicles are to
offset debits created by other vehicles on an equivalent basis, it is
thus important that they should be capable of achieving a similar
mileage, and this depends, in part, on the life of the battery.
Further, if BEVs and PHEVs were less durable than comparable ICE
vehicles, this could result in increased use of ICE vehicles. In
particular, and especially for vehicles with shorter driving ranges,
loss of a large portion of the original driving range capability as the
vehicle ages could reduce the ability for zero-emission miles to
displace greater-than-zero-emission miles traveled, as well as
undermine purchaser confidence in this emerging but highly effective
technology.
We proposed a specific durability testing requirement in the HD2027
NPRM and received comment on that proposal, including comment stating
that the requirements could result in increases in the battery capacity
beyond what was needed to meet the job of the customer. Due to these
concerns and because we are still evaluating the range of durability
metrics that could be used for quantifying HD BEV performance, EPA is
not proposing specific durability testing requirements in this rule.
However, EPA is including in this proposal a requirement for a battery
durability monitor that would be applicable to HD BEVs and PHEVs. The
battery durability monitor proposal would require manufacturers to
provide a customer-facing battery state-of-health (SOH) monitor for all
heavy-duty BEVs and PHEVs. We are proposing a new 40 CFR 1037.115(f)
that would require manufacturers to install a customer-accessible SOH
monitor which estimates, monitors, and communicates the vehicle's state
of certified energy (SOCE) as it is defined in GTR No. 22.\598\
Specifically, manufacturers would implement onboard algorithms to
estimate the current state of health of the battery, in terms of the
state of its usable battery energy (UBE) expressed as a percentage of
the original UBE when the vehicle was new.
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\598\ We are proposing to incorporate by reference the UN
Economic Commission for Europe document as described in Section
XI.I.
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For HD PHEVs, we are proposing that manufacturers would use the
existing powertrain test procedures defined in 40 CFR 1036.545 to
determine UBE.\599\ The powertrain test procedures requires that PHEVs
be tested in charge depleting and charge sustaining modes using a range
of vehicle configurations. For the determination of UBE, we are
proposing that the PHEV manufacturer would select the most
representative vehicle configuration.
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\599\ We are proposing to move the existing powertrain procedure
from its current location in 40 CFR 1037.550 to the heavy-duty
highway engine provisions as a new 40 CFR 1036.545. See Section
III.C.3 for more information.
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For HD BEVs, we are proposing that manufacturers develop their own
test procedures for determining UBE. This is due to the range of HD BEV
architectures, and the limited test facilities for conducting
powertrain testing of BEVs with e-axles. With the SOCE being a relative
measure of battery health and not absolute UBE, we believe that leaving
the test procedure up to the manufacturer will still provide a
meaningful measure of the health of the battery. We also believe that
requiring the SOH to be customer-accessible will provide assurance that
the SOH monitor is relatively accurate while also providing more time
for EPA to work with manufacturers to develop a standardized test
procedure for determining UBE for HD BEVs.
We proposed a specified test procedure to determine UBE in the
HD2027 NPRM and received comment on that proposal, including comment
requesting changes to the proposed test procedure, which EPA considered
in developing this proposal's approach. EPA requests comment both on
this rule's proposed approach and on an alternative approach of EPA
defining a test procedure to determine UBE, such as the test procedure
EPA proposed in the HD2027 NPRM, CARB zero-emission powertrain
certification, and the test procedures being considered by the UN ECE
EVE IWG.\600\ Regarding our request for comment on the HD2027 NPRM test
procedure, we note that one of the main concerns with the test
procedure in submitted comments on the HD2027 NPRM was that commenters
stated the powertrain test cell required for powertrains with e-axles
were not widely available, and we believe there has been some
indication that this is changing; we request comment on this issue.
Regarding our request for comment on the test procedures being
considered by the UN ECE EVE IWG, we note that some of these test
procedures don't rely on chassis or powertrain dynamometers, like the
charge-discharge test procedure, and request comment on this issue.
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\600\ Memorandum to Docket EPA-HQ-OAR-2022-0985: ``Draft Test
Procedures for Determining UBE''. James Sanchez. February 1, 2023.
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Many of the organizations and authorities that have examined the
issue of battery durability, including the UN Economic Commission for
Europe, the European Commission, and the California Air Resources
Board, have recognized that monitoring driving range as an indicator of
battery durability performance (instead of or in addition to UBE) may
be an attractive option because driving range is a metric that is more
directly experienced and understood by the consumer. While we are not
proposing to require that heavy-duty BEVs and PHEVs implement a state-
of-certified-range (SOCR) monitor, we are requesting comment on whether
we should require the SOCR monitor defined in GTR No. 22.
2. Battery and Fuel Cell Electric Vehicle Component Warranty
EPA is proposing new warranty requirements for BEV and FCEV
batteries and associated emission-related electric powertrain
components (e.g., fuel-cell stack, electric motors, and inverters) and
is proposing to clarify how existing warranty requirements apply for
PHEVs.\601\ The proposed warranty requirements build on existing
emissions control warranty provisions by establishing specific new
requirements tailored to the emission control-related role of the high-
voltage
[[Page 26016]]
battery and fuel-cell stack in durability and performance of BEVs and
FCEVs.
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\601\ Note, EPA is not reopening the existing emission-related
warranty periods for HD engines and vehicles in parts 1036 and 1037.
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As described in the previous section, the National Academies of
Science (NAS) in their 2021 report \602\ identified battery warranty
along with battery durability as an important issue with the rise of
electrification. The proposed vehicle warranty requirements for battery
and other emission-related electric powertrain components of HD BEVs
and FCEVs would be similar to those that EPA has the authority to
require and has historically applied to emission control-related
components for HD vehicles, including HD ICE vehicles, under EPA's HD
vehicle regulations, and would similarly implement and be under the
authority of CAA section 207.\603\ EPA believes that this practice of
ensuring a minimum level of warranty protection should be extended to
the high-voltage battery and other emission-related electric powertrain
components of HD BEV, PHEV, and FCEV for multiple reasons. Recognizing
that BEVs, PHEVs, and FCEVs are playing an increasing role in
manufacturers' compliance strategies, the high-voltage battery and the
powertrain components that depend on it are emission control devices
critical to the operation and emission performance of HD vehicles, as
they play a critical role in reducing the vehicles' emissions and
allowing BEVs and FCEVs to have zero tailpipe emissions. As explained
in Section II and this Section III, EPA also anticipates most if not
all manufacturers would include the averaging of credits generated by
BEVs and FCEVs as part of their compliance strategies for the proposed
standards, thus this is a particular concern given that the calculation
of credits for averaging (as well as banking and trading) depend on the
battery and emission performance being maintained for the full useful
life of the vehicle. Additionally, warranty provisions are a strong
complement to the proposed battery durability monitoring requirements.
We believe a component under warranty is more likely to be properly
maintained and repaired or replaced if it fails, which could help
ensure that credits granted for BEV and FCEV production volumes
represent real emission reductions achieved over the life of the
vehicle. Finally, we expect manufacturers provide warranties at the
existing 40 CFR 1037.120 levels for the BEVs they currently produce,
and the proposed requirements to certify to offering those warranty
periods and document them in the owner's manual would provide
additional assurance for owners that all BEVs have the same minimum
warranty period.\604\
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\602\ National Academies of Sciences, Engineering, and Medicine
2021. ``Assessment of Technologies for Improving Light-Duty Vehicle
Fuel Economy 2025-2035''. Washington, DC: The National Academies
Press. https://doi.org/10.17226/26092.
\603\ See Section I.D. of this preamble for further discussion
of EPA's authority under CAA section 207.
\604\ The Freightliner eCascadia includes a powertrain warranty
of 5 yr/150K or 300K miles (depending on battery pack size). DDCTEC
16046--eCascadia Spec Sheet_6.0.pdf.
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For heavy-duty vehicles, EPA is proposing that manufacturers
identify BEV and FCEV batteries and associated electric powertrain
components as component(s) covered under emission-related warranty in
the vehicle's application for certification. We propose those
components would be covered by the existing regulations' emissions
warranty periods \605\ of 5 years or 50,000 miles for Light HDV and 5
years or 100,000 miles for Medium HDV and Heavy HDV (see proposed
revisions to 40 CFR 1037.120).
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\605\ EPA promulgated the existing HD vehicle warranty periods
in 40 CFR part 1037 under our CAA section 207 authority.
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We are not proposing new battery warranty requirements for PHEVs as
``hybrid system components'' are covered under the existing regulations
in 40 CFR part 1036 and 40 CFR part 1037. In the HD2027 rule, we
finalized as proposed that when a manufacturer's certified
configuration includes hybrid system components (e.g., batteries,
electric motors, and inverters), those components are considered
emission-related components, which would be covered under the warranty
requirements (see, e.g., 88 FR 4363, January 24, 2023). We are
proposing revisions to 40 CFR 1036.120(c) to clarify that the warranty
requirements of 40 CFR part 1036 apply to hybrid system components for
any hybrid manufacturers certifying to the part 1036 engine standards.
In 40 CFR 1037.120(c), we are also proposing a clarifying revision to
remove the sentence stating that the emission-related warranty does not
need to cover components whose failure would not increase a vehicle's
emissions of any regulated pollutant while extending the existing
statement that warranty covers other emission-related components in a
manufacturer's application for certification to specifically include
any other components whose failure would increase a vehicle's
CO2 emissions.
C. Additional Proposed Revisions to the Regulations
In this subsection, we discuss proposed revisions to 40 CFR parts
1036, 1037, 1065.
1. Updates for Cross-Sector Issues
This section includes proposed updates that would make the same or
similar changes in related portions of the CFR or across multiple
standard-setting parts for individual industry sectors.
i. LLC Cycle Smoothing and Accessory Load
EPA finalized a new LLC duty-cycle in the HD2027 rule that included
a procedure for smoothing the nonidle nonmotoring points immediately
before and after idle segments within the duty-cycle.\606\ It was
brought to our attention that the smoothing procedure in 40 CFR
1036.514(c)(3) allows smoothing based on the idle accessory torque but
says nothing about how to address the contribution of curb idle
transmission torque (CITT), while 40 CFR 1065.610(d)(3)(v) through
(viii) requires smoothing based on CITT and says nothing about how to
address idle accessory torque. This could create confusion and
difficulties for common cases where CITT is required in addition to the
40 CFR 1036.514 idle accessory torques. 40 CFR 1036.514(c)(3), as
currently written, would only apply if the transmission was in neutral,
because it only allows you to account for the accessory load and not
CITT, which was not EPA's intent. To illustrate the concern, for
example, a MHD engine could have an LLC idle accessory load of 23.5
foot-pounds, which is 19 percent of a typical automatic transmission
CITT of 124 foot-pounds. To resolve this potential issue, we are
proposing to remove the smoothing instructions in 40 CFR 1036.514 and
incorporate them into 40 CFR 1065.610.
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\606\ 88 FR 4296 (January 24, 2023).
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The original intent of the 40 CFR 1065.610 duty-cycle generation
procedure was to avoid discontinuities in the reference torque values.
It was written with the assumption that idle load in neutral was zero,
meaning the vehicle or machine idle accessory load was zero. When we
introduced the required LLC idle accessory load in 40 CFR 1036.514, we
failed to realize that amendments would be needed to 40 CFR
1065.610(d)(3) to clarify how to handle the accessory load in the
denormalization process. The engine mapping section 40 CFR 1065.510 is
another area of concern as it does not address the possibility of droop
in the idle governor, which would result in different idle speeds when
the transmission is in drive versus neutral. This results in an
additional
[[Page 26017]]
complication as the required idle accessory torque will be different in
drive versus neutral to keep the accessory power at the level specified
in Table 1 to 40 CFR 1036.514(c)(4).
40 CFR 1065.610(d)(4) is a related paragraph that allows a
different deviation for an optional declared minimum torque that
applies to variable- and constant-speed engines and both idle and
nonidle nonmotoring points in the cycle. Its scope of application is
wider than 40 CFR 1065.610(d)(3). 40 CFR 1065.610(d)(4) applies to all
nonidle nonmotoring points in the cycle, not just the ones immediately
preceding or following an idle segment and using it instead of (d)(3)
would not get the intended constant idle accessory power loads or the
intended smoothing.
There is also an existing historical conflict between 40 CFR
1065.510(f)(4) and 1065.610(d)(4). 40 CFR 1065.510(f)(4) requires that
manufacturers declare non-zero idle, or minimum torques, but 40 CFR
1065.610(d)(4), permissible deviations, make their use in cycle
generation optional. This results in an inconsistency between the two
sections as 40 CFR 1065.510(f)(4) requires these parameters to be
declared, but 40 CFR 1065.610(d)(4) does not require them to be used.
Additionally, there is a historical conflict in 40 CFR
1065.610(d)(3)(v). This paragraph, as written, includes zero percent
speed and, if the paragraph is executed in the order listed, it would
include idle points that were changed to neutral in the previous step
for neutral while stationary transmissions. This conflict would change
the torque values of those idle-in-neutral points back to the warm-
idle-in-drive torque and the speed would be left unaltered at the idle-
in-neutral speed. This was clearly not the intent of this paragraph,
yet we note that this conflict spans back all the way to when these
procedures were located in 40 CFR 86.1333-90.
The smoothing of idle points also raises the need for smoothing of
the few occurances of non-idle points in the duty-cycles where the
vehicle may be moving, the torque converter may not be stalled, and the
warm-idle-in-drive torque may not be appropriate. This would result in
the smoothing of consecutive points around nonidle nonmotoring points
with normalized speed at or below zero percent and reference torque
from zero to the warm-idle-in-drive torque value where the reference
torque is set to the warm-idle-in-drive torque value.
To address all of these concerns, we are proposing to make changes
to 40 CFR 1065.510, 1065.512, and 1065.610. Note, other proposed
changes to these subsections not specifically mentioned here are edits
to fix citations to relocated or new paragraphs and to improve the
clarity of the test procedures. The proposed changes to 40 CFR 1065.610
include basing the smoothing of points preceding an idle segment and
following an idle segment on the warm-idle-in-drive torque value (sum
of CITT and idle accessory torque). Exceptions to this are for manual
transmissions and for the first 24 seconds of initial idle segments for
automatic transmissions. Here the warm-idle-in-neutral torque value
(idle accessory torque) is used. We are proposing to include manual
transmissions in the required deviations for reference torque
determination for variable-speed engines in 40 CFR 1065.610(d)(3) for
completeness. The proposed amendments to 40 CFR 1065.610(d)(3) include
the option to skip these deviations for a manual transmission where
optional declared idle torque and the optional declared power are not
declared (idle torque is zero). This provides labs that have not yet
implemented these required deviations the option to not implement them
if they only need to run tests with manual transmissions with zero idle
torque. We also proposed the addition of manual transmissions to 40 CFR
1065.512(b)(2) where these required deviations in 40 CFR 1065.610 are
cited.
We are also proposing changes to 40 CFR 1065.510(b) and (f) to
address the effect of droop in the idle governor and how to determine
idle speed when idle torque is a function of idle speed (where a
component is specified as power or CITT is specified as a function of
speed and the idle speeds need to be determined for each setpoint of
the idle governor). We are also proposing the addition of an option to
declare the warm idle speed(s) equal to the idle speed setpoint for
electronically governed variable-speed engines with an isochronous low-
speed governor. Recent updates to the mapping test procedure in 40 CFR
1065.510 regarding running the map at the minimum user-adjustable idle
speed setpoint and using the map for any test assumed that one could
declare the warm idle speed(s) equal to the idle speed setpoint for
electronically governed variable-speed engines.\607\ We are proposing
changes to make it clear that this option is allowed, which would help
simplify the mapping process.
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\607\ 88 FR 4296 (January 24, 2023).
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To resolve the conflict between 40 CFR 1065.510(f)(4) and
1065.610(d)(4), we are proposing to move the requirement to declare
torques to 40 CFR 1065.510(f)(5), which would make it optional and
consistent with 40 CFR 1065.610(d)(4).
To resolve the conflict in 40 CFR 1065.610(c)(3)(v), which we are
proposing to reorganize as 40 CFR 1065.610(c)(3)(vii), we are proposing
to restrict the applicability of the paragraph from ``all points'' to
``all nonidle nonmotoring points.'' To address the smoothing of
consecutive nonidle nonmotoring points that immediately follow and
precede any smoothed idle points we are proposing to change their
reference torques to the warm-idle-in-drive torque value by adding a
new 40 CFR 1065.610(c)(3)(xi).
We are also proposing revisions to 40 CFR 1036.514 to reorganize
and clarify the process for cycle denormalization of speed and torque
where accessory load is included and to add more specific transmission
shift points for greater than 200 seconds idle segments for LLC engine
and hybrid powertrain testing. Shifting the transmission to neutral
during very long idle segments is more representative of in-use
operation than leaving it in drive, so we are proposing more specific
shift points instead of a range to reduce lab-to-lab variability. The
proposal would require setting the reference speed and torque values to
the warm-idle-in-drive values for the first three seconds and the last
three seconds of the idle segment for an engine test, requiring keeping
the transmission in drive for the first 3 seconds of the idle segment,
shifting the transmission from drive to park or neutral immediately
after the third second in the idle segment, and shifting the
transmission into drive again three seconds before the end of the idle
segment.
ii. Calculating Greenhouse Gas Emission Rates
We are proposing to revise 40 CFR 1036.550(b)(2) and 40 CFR
1054.501(b)(7) to clarify that when determining the test fuel's carbon
mass fraction, WC, the fuel properties that must be measured
are [alpha] (hydrogen) and [beta] (oxygen). These paragraphs, as
currently written, imply that you cannot use the default fuel
properties in 40 CFR 1065.655 for [alpha], [beta], [gamma] (sulfur),
and [delta] (nitrogen). The fuel property determination in 40 CFR
1065.655(e) makes it clear that if you measure fuel properties and the
default [gamma] and [delta] values for your fuel type are zero in Table
2 to 40 CFR 1065.655, you do not need to measure those properties. The
sulfur ([gamma]) and nitrogen ([delta]) content of these highly refined
gasoline and diesel fuels are not enough to affect the WC
determination
[[Page 26018]]
and the original intent was to not require their measurement. We are
proposing this change to ensure there is no confusion on the
requirement. We are also proposing to update 40 CFR 1036.550(b)(2) and
40 CFR 1054.501(b)(7) so that they reference 40 CFR 1065.655(e), which
includes the default fuel property table whose number had been
previously changed and we did not make the corresponding update in 40
CFR 1036.550(b)(2) and 40 CFR 1054.501(b)(7).
iii. ABT Reporting
We are proposing to allow manufacturers to correct previously
submitted vehicle and engine GHG ABT reports, where a mathematical or
other error in the GEM-based or fleet calculations used for compliance
was discovered after the 270-day final report submission deadline. In
the Phase 1 program, EPA chose the 270-day deadline for submitting a
final GHG ABT report to coincide with existing criteria pollutant
report requirements that manufacturers follow for heavy-duty
engines.\608\ The 270-day deadline was based on our interest in
manufacturers maintaining good quality assurance/quality control (QA/
QC) processes in generating ABT reports. We continue to believe that
aligning the ABT report deadlines for criteria and GHG pollutants can
provide consistency within a manufacturer's certification and
compliance processes, but further consideration of the inherent
differences and complexities in how credits are calculated and
accounted for in the two programs led us to consider a time window
beyond 270 days for allowing corrections to the GHG report. Certifying
an engine or vehicle fleet with attribute-based features (Phase 1) or
GEM (Phase 2) involves a greater risk of error compared to EPA's engine
or vehicle test-based programs for criteria pollutants, where direct
measurement of criteria pollutant emissions at time of certification is
well established. Whether an indirect, physics-based model for
quantifying GHG emissions such as GEM, or a unique technology-,
attribute-, or engine production volume-based credit accounting system,
unintentional errors, if not detected prior to submitting the final GHG
ABT report and not realized until the accounting process for the
following model year was initiated, could negatively affect a
manufacturer's credit balance. For example, the loss of these credits
could result in a manufacturer purchasing credits or making unplanned
investments in additional technologies to make up for the credits lost
due to the report error.
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\608\ See the HD GHG Phase 1 rule (76 FR 57284, September 15,
2011).
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Under the proposed revisions to 40 CFR 1036.730(f) and 1037.730(f),
EPA would consider requests to correct previously submitted MY 2021 or
later ABT reports only when notified of the error within a time period
of 24 months from the September 30 final report deadline. For requests
to correct reports for MY 2020 or earlier, we are proposing an interim
deadline of October 1, 2024 (see proposed new 40 CFR 1036.150(aa) and
1037.150(y)). We believe that corrections to ABT reports, where
justified, will have no impact on emissions compliance as the actual
performance of a manufacturer's fleet was better than what was reported
in error, and correcting the report simply adjusts the credit balance
for the model year in question to the appropriate value, such that
those credits can then be used in future model years.
This proposed narrowly focused allowance for correcting accounting,
typographical, or GEM-based errors after a manufacturer submits the
270-day final report (see proposed revisions in 40 CFR 1037.730) is
intended to address the disproportionate financial impact of an
unintentional error in the complex modeling and accounting processes
that manufacturers use to determine compliance and credit balances for
a given model year. We are proposing a 10 percent discount to these
credit corrections to the final report, which will reduce the value of
the credits that are restored upon approval of the request. The 10
percent discount is intended to balance the goal of encouraging
accuracy in ABT reports and use of robust QA/QC processes against the
considerations for allowing manufacturers the ability to correct
unforeseen errors.
iv. Migration of 40 CFR 1037.550 to 40 CFR 1036.545
We are proposing to migrate the powertrain test procedure in 40 CFR
1037.550 to 40 CFR 1036.545. Over the course of the development of this
test procedure, its use expanded to include certification of engines to
the criteria pollutant standards in 40 CFR part 1036 (including test
procedures in 40 CFR 1036.510, 1036.512, and 1036.514) and the
procedure can be used in place of the engine GHG testing procedures (40
CFR 1036.535 and 1036.540) for hybrid engines and hybrid powertrains.
We are proposing to migrate the test procedure to 40 CFR 1036.545 as-
is, with the following exceptions. We are proposing to add a new figure
that provides an overview of the steps involved in carrying out testing
under this section. We are proposing to clarify that if the test setup
has multiple locations where torque is measured and speed is
controlled, the manufacturer would be required to sum the measured
torque and validate that the speed control meets the requirements
defined in the proposed 40 CFR 1036.545(m). Positive cycle work,
W[cycle], would then be determined by integrating the sum of
the power measured at each location in the proposed 40 CFR
1036.545(o)(7). We are also proposing to clarify that manufacturers may
test the powertrain with a chassis dynamometer as long as they measure
speed and torque at the powertrain's output shaft or wheel hubs. We are
also proposing to replace all references to 40 CFR 1037.550 throughout
40 CFR part 1036 and part 1037 with new references to 40 CFR 1036.545.
For test setups where speed and torque are measured at multiple
locations, determine W[cycle] by integrating the sum of the power
measured at each location.
v. Median Calculation for Test Fuel Properties in 40 CFR 1036.550
40 CFR 1036.550 currently requires the use of the median value of
measurements from multiple labs for the emission test fuel's carbon-
mass-specific net energy content and carbon mass fraction for
manufacturers to determine the corrected CO2 emission rate
using equation 40 CFR 1036.550-1. The current procedure does not
provide a method for determining the median value. We are proposing to
add a new calculation for the median value in the statistics
calculation procedures of 40 CFR 1065.602 as a new paragraph (m). We
also propose to reference the new paragraph (m) in 40 CFR
1036.550(a)(1)(i) and (a)(2)(i) for carbon-mass-specific net energy
content and carbon mass fraction, respectively. This proposed new
calculation procedure would ensure that labs are using the same method
to calculate the median value. This proposed calculation is a standard
statistical method for determining median and it would require order
ranking the data in increasing order from smallest value to largest.
Determining the median from data sets containing an even number of
data points would require dividing the number of data points by two to
determine the rank of one of the data points whose value would be used
to determine the median. This data point would then be added to the
next highest ranked data point and the sum would be divided by two to
determine the median.
[[Page 26019]]
Determining the median from data sets containing an odd number of
data points would be determined by adding one to the number of data
points and dividing the sum by two to determine the rank of the data
point whose value would be the median.
2. Updates to 40 CFR Part 1036 Heavy-Duty Highway Engine Provisions
i. Manufacturer Run Heavy Duty In-Use Testing
We are proposing a clarification to 40 CFR 1036.405(d) regarding
the starting point for the 18-month window manufacturers have to
complete an in-use test order. Under the current provision, the clock
for the 18-month window starts after EPA has received the
manufacturer's proposed plan for recruiting, screening, and selecting
vehicles. There is concern that manufacturers could delay testing by
unnecessarily prolonging the selection process. To alleviate this
concern and keep the testing timeline within the originally intended
18-month window, we are proposing to start the clock on the 18-month
window when EPA issues the order for the manufacturer to test a
particular engine family.
In the HD2027 final rule, we adopted a new 40 CFR 1036.420 that
includes the pass criteria for individual engines tested under the
manufacturer run in-use testing program. Table 1 to 40 CFR 1036.420
contains the accuracy margins for each criteria pollutant. We are
proposing to correct an inadvertent error in the final rule's
amendatory text for the regulations that effects the accuracy margin
for carbon monoxide (CO), which is listed in Table 1 as 0.025 g/hp-hr.
The HD2027 preamble is clear that the CO accuracy margin that we
finalized was intended to be 0.25 g/hp-hr and we are proposing to
correct Table 1 to reflect the value in the preamble.\609\
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\609\ See HD2027 final rule preamble (88 FR 4353, January 24,
2023) (``PEMS measurement allowance values in 40 CFR 86.1912 are
0.01 g/hp-hr for HC, 0.25 g/hp-hr for CO, 0.15 g/hp-hr for
NOX, and 0.006 g/hp-hr for PM. We are maintaining the
same values for HC, CO, and PM in this rulemaking.'').
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ii. Low Load Cycle (LLC)--Cycle Statistics
We are proposing to update 40 CFR 1036.514 to address the ability
of gaseous fueled non-hybrid engines with single point fuel injection
to pass cycle statistics to validate the LLC duty cycle. We referenced,
in error in 40 CFR 1036.514(e), the alternate cycle statistics for
gaseous fueled engines with single point fuel injection in the cycle
average fuel map section in 40 CFR 1036.540(d)(3) instead of adding LLC
specific cycle statistics in 40 CFR 1036.514(e). We are proposing the
addition of a new Table 1 in 40 CFR 1036.514(b) to provide cycle
statistics that are identical to those used by the California Air
Resources Board for the LLC and to remove the reference to 40 CFR
1036.540(d)(3) in 40 CFR 1036.514(e).
iii. Low Load Cycle (LLC)--Background Sampling
We are proposing to remove the provision in 40 CFR 1036.514(d) that
allows periodic background sampling into the bag over the course of
multiple test intervals during the LLC because the allowance to do this
is convered in 40 CFR 1065.140(b)(2). The LLC consists of a very long
test interval and the intent of the provision was to address emission
bag sampling systems that do not have enough dynamic range to sample
background constantly over the entire duration of the LLC. 40 CFR
1065.140(b)(2) affords many flexibilities regarding the measurement of
background concentrations, including sampling over multiple test
intervals as long as it does not affect your ability to demonstrate
compliance with the applicable emission standards.
iv. U.S.-Directed Production Volume
In the recent HD2027 rule, we amended the heavy-duty highway engine
provision in 40 CFR 1036.205 and several other sections to replace
``U.S.-directed production volume'' with the more general term
``nationwide'' where we intended manufacturers report total nationwide
production volumes, including production volumes that meet different
state standards.
In this rule, for the reasons explained in Section III.A.1, we are
proposing a broader change to the definition of ``U.S.-directed
production volume'' for vehicles in 40 CFR 1037.801 to include
production volumes for vehicles certified to different standards. We
are proposing to adopt the same updated definition of ``U.S.-directed
production volume'' in 40 CFR 1036.801 to maintain consistency between
the engine and vehicle regulations' definitions, and are proposing to
reinstate the term ``U.S.-directed production volume'' where we
currently use ``nationwide'' in 40 CFR part 1036 to avoid having two
terms with the same meaning.\610\
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\610\ See proposed revisions in 40 CFR 1036.205(v), 1036.250(a),
1036.405(a), 1036.605(e), 1036.725(b), and 1036.730(b).
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Since certain existing part 1036 requirements use the existing term
and definition to exclude production volumes certified to different
state standards (i.e., the NOX ABT program for HD engines),
we are proposing corresponding clarifying updates throughout 40 CFR
part 1036 to ensure no change to those existing exclusions in tandem
with the proposed change to the definition of the term ``U.S.-directed
production volume.'' For example, we are also proposing to update 40
CFR 1036.705(c) to establish this paragraph as the reference for
specifying the engines that are excluded from the production volume
used to calculate emission credits for HD highway engines, and we
propose that a new 40 CFR 1036.705(c)(4) be the location where we
exclude engines certified to different state emission standards for the
HD engine program.\611\ The proposed changes also include replacing
several instances of ``U.S.-directed production volume'' with a more
general ``production volume'' where the text clearly is connected to
ABT or a more specific reference to the production volume specified in
40 CFR 1036.705(c).\612\
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\611\ The proposed revision would also move the statement to
keep records relating to those production volumes from its current
location in 40 CFR 1036.705(c) to 40 CFR 1036.735 with the other ABT
recordkeeping requirements.
\612\ See proposed revisions in 40 CFR 1036.150(d) and (k),
1036.725(b), and 1036.730(b).
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v. Correction to NOX ABT FEL Cap
We are proposing to amend 40 CFR 1036.104(c)(2) to remove paragraph
(iii) which corresponds to a FEL cap of 70 mg/hp-hr for MY 2031 and
later Heavy HDE that we proposed in HD2027 but did not intend to
include in the final amendatory text. In the final rule for the HD2027
rule, we did not intend to include in the final amendatory text
paragraph (iii) alongside the final FEL cap of 50 mg/hp-hr for MY 2031
and later which applies to all HD engine service classes including
Heavy HDE in paragraph (ii) described by EPA in the preamble and
supporting rule record. We are proposing to correct this error and
remove paragraph (iii). This correction will not impact the stringency
of the final NOX standards because even without correction
paragraph (ii) controls.\613\
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\613\ EPA is not reopening the final HD2027 standards or any
other portion of that rule besides those specifically identified in
this document as subject to new proposed revisions.
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vi. Rated Power and Continuous Rated Power Coefficient of Variance in
40 CFR 1036.520
We are proposing to correct an error and include a revision to a
provision we intended to include in HD2027, regarding determining power
and vehicle speed values for powertrain
[[Page 26020]]
testing. In 40 CFR 1036.520, paragraphs (h) and (i) describe how to
determine rated power and continuous rated power, respectively, from
the 5 Hz data in paragraph (g) averaged from the 100 Hz data collected
during the test. We inadvertently left out the coefficient of variance
(COV) limits of 2 percent that are needed for making the rated and
continuous rated power determinations in the HD2027 final 40 CFR
1036.520(h) and (i), which were intended to be based on the COVs
calculated in 40 CFR 1036.520(g) and we correctly included in the
HD2027 final 40 CFR 1036.520(g). We are proposing to add the 2 percent
COV limit into 40 CFR 1036.520(h) and (i). We are also proposing to
correct a paragraph reference error in 40 CFR 1036.520(h). The
paragraph references the data collected in paragraph (f)(2) of the
section. The data collection takes place in paragraph (d)(2) of the
section.
vii. Selection of Drive Axle Ratio and Tire Radius for Hybrid Engine
and Hybrid Powertrain Testing
We are proposing to combine and modify the drive axle ratio and
tire radius selection paragraphs in 40 CFR 1036.510(b)(2)(vii) and
(viii). When testing hybrid engines and hybrid powertrains a series of
vehicle parameters must be selected. The paragraphs for selecting drive
axle ratio and tire radius are separate from each other, however the
selection of the drive axle ratio must be done in conjunction with the
tire radius as not all tire sizes are offered with a given drive axle
ratio. We are proposing to combine these paragraphs into one to
eliminate any possible confusion on the selection of these two
parameters.
The maximum vehicle speed for SET testing of hybrid engines and
powertrains is determined based on the vehicle parameters and maximum
achievable speed for the configuration in 40 CFR 1036.510. This is not
the case for the FTP vehicle speed which reaches a maximum of 60 miles
per hour. It has been brought to our attention that there are some
vehicle configurations that cannot achieve the FTP maximum speed of 60
mile per hour. To resolve this, we are proposing changes to 40 CFR
1036.510(b)(2)(vii) instructing the manufacturer to select a
representative combination of drive axle ratio and tire size that
ensure a vehicle speed of no less than 60 miles per hour. We are also
proposing to include, as a reminder, that manufacturers may request
approval for selected drive axle ratio and tire radius consistent with
the provisions of 40 CFR 1036.210. We are also proposing to add a
provision for manufacturers to follow the provisions of 40 CFR
1066.425(b)(5) if the hybrid powertrain or hybrid engine is used
exclusively in vehicles which are not capable of reaching 60 mi/hr.
This would allow the manufacturer to seek approval of an alternate test
cycle and cycle-validation criteria for powertrains where the
representative tire radius and axle ratio do not allow the vehicle to
achieve the maximum speeds of the specified test cycle.
viii. Determining Power and Vehicle Speed Values for Powertrain Testing
We are proposing to revise 40 CFR 1036.520(d)(2) to address the
possibility of clutch slip when performing the full load acceleration
with maximum driver demand at 6.0 percent road grade where the initial
vehicle speed is 0 mi/hr. The proposed revision would allow hybrid
engines and hybrid powertrains to modify the road grade in the first 30
seconds or increase the initial speed from 0 miles per hour to 5 miles
per hour to mitigate clutch slip. This road grade alteration or change
in initial speed should reduce the extreme force on the clutch when
accelerating at 6.0 percent grade.
We are proposing to revise 40 CFR 1036.520(d)(3) to address
situations where the powertrain does not reach maximum power in the
highest gear 30 seconds after the grade setpoint has reached 0.0
percent. To address this we are proposing to replace the 30 second time
limit with a speed change stability limit of 0.02 m/s\2\ which would
trigger the end of the test.
ix. Request for Comment on Determining Vehicle Mass in 40 CFR 1036.510
As engines and powertrains evolve with time, changes to vehicle
mass may be needed to maintain equivalent cycle work between the
powertrain and engine test procedures. We request comment on updating
equation 40 CFR 1036.510-1 to better reflect the relationship of
vehicle mass and rated power. With the increase in rated power of
heavy-duty engines, at least one manufacturer has raised to EPA that
there is some concern that equation 40 CFR 1036.510-1 might need
updating to better reflect the relationship of vehicle mass and rated
power. If you provide comment that the equation should be updated, we
request that you provide data to justify the change and show that the
change would provide comparable values of cycle work and power versus
time, for both the engine and powertrain versions of the duty cycles.
For the engine duty cycles (e.g., FTP and SET), the cycle work of the
duty cycle is a function of the engine torque curve. For the powertrain
duty cycles (e.g., vehicle FTP and vehicle SET), the cycle work of the
duty cycle is a function of the rated power of the powertrain.
x. Test Procedure for Engines Recovering Kinetic Energy for Electric
Heaters
We are proposing a clarification in the existing definition for
hybrid in 40 CFR 1036.801 to add a sentence stating that systems
recovering kinetic energy to power an electric heater for the
aftertreatment would not qualify as a hybrid engine or hybrid
powertrain. Under the existing hybrid definition, systems that recover
kinetic energy, such as regenerative braking, would be considered
``hybrid components'' and manufacturers would be required to use the
powertrain test procedures to account for the electric heater or use
the engine test procedures and forfeit the emission reductions from
heating the aftertreatment system. With the proposed clarification to
the hybrid definition, engines that use regenerative braking only to
power an electric heater for aftertreatment devices would not be
considered hybrid engines and, therefore, would not be required to use
the powertrain test procedures; instead, those engines could use the
test procedures for engines without hybrid components.
We are proposing to supplement the new definitions with direction
for testing these systems in 40 CFR 1036.501. In a proposed new 40 CFR
1036.501(g), we would clarify that an electric heater for
aftertreatment can be installed and functioning when creating fuel maps
using 40 CFR 1036.505(b), and measuring emissions over the duty cycles
specified in 40 CFR 1036.510(b), 40 CFR 1036.512(b), and 40 CFR
1036.514(b). This proposed allowance would be limited to hybrid engines
where the system recovers less than 10 percent of the total positive
work over each applicable transient cycle and the recovered energy is
exclusively used to power an electric heater in the aftertreatment.
Since the small amount of recovered energy is stored thermally and
can't be used to move the vehicle, we believe that the engine test
procedures are just as representative of real-world operation as the
powertrain test procedures. We request comment on using a different
limit than 10 percent of the total positive work over the transient
cycle for this flexibility. The proposed limit of 10 percent is based
on the amount of negative work versus positive work typical of
conventional engines over the transient cycle. After evaluating a range
of HDE, we have observed that the negative work from
[[Page 26021]]
the transient FTP cycle during engine motoring is less than 10 percent
of the positive work of the transient FTP cycle.\614\ In the same
paragraph (g), we also propose that manufacturers have the option to
use the powertrain test procedures for these systems, which would not
have the same restrictions we are proposing for the amount of recovered
energy.
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\614\ Memorandum to Docket EPA-HQ-OAR-2022-0985: ``Analysis of
Motoring and Positive Cycle Work for Current Heavy-Duty Engines''.
James Sanchez. April 4, 2023.
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xi. Updates to 40 CFR Part 1036 Definitions
We propose new and updated definitions in 40 CFR 1036.801 in
support of several proposed requirements in Section II or this Section
III. We propose to add a reference to two new definitions proposed in
40 CFR part 1065: Carbon-containing fuel and ``neat''. The proposed
definition of carbon-containing fuel will help identify the applicable
test procedures for engines using fuels that do not contain carbon and
would not produce CO2. The proposed definition of ``neat''
would indicate that a fuel is not mixed or diluted with other fuels,
which would help distinguish between fuels that contain no carbon, such
as hydrogen, and fuels that that contain carbon through mixing, such as
hydrogen where a diesel pilot is used for combustion. We also propose
to update the definition for U.S.-directed production volume to be
equivalent to nationwide production.
We propose to consolidate the definitions of hybrid, hybrid engine,
and hybrid powertrain into a single definition of ``hybrid'' with
subparagraphs distinguishing hybrid engines and powertrains. The
proposed definition of hybrid retains most of the existing definition,
except that we propose to remove the unnecessary ``electrical''
qualifier from batteries and propose to add a statement relating to
recovering energy to power an electric heater in the aftertreatment
(see Section III.C.2.x). The revised definitions for hybrid engines and
powertrains, which are proposed as subparagraphs under ``hybrid'', are
more complementary of each other with less redundancy. As noted in
Section III.C.2.x, we propose to update the definitions of hybrid
engine and hybrid powertrain to exclude systems recovering kinetic
energy for electric heaters.
We propose several editorial revisions to definitions as well. We
propose to update the definition of mild hybrid such that it is
relating to a hybrid engine or hybrid powertrain. We propose to revise
the existing definition of small manufacturer to clarify that the
employee and revenue limits include the totals from all affiliated
companies and added a reference to the definition of affiliated
companies in 40 CFR 1068.30.
xii. Miscellaneous Corrections and Clarifications in 40 CFR Part 1036
We are proposing to update 40 CFR 1036.150(j) to clarify that the
alternate standards apply for model year 2023 and earlier loose
engines, which is consistent with existing 40 CFR 86.1819-14(k)(8).
We propose to update the provision describing how to determine
deterioration factors for exhaust emission standards in 40 CFR 1036.245
so it would also apply for hybrid powertrains.
xiii. Off-Cycle Test Procedure for Engines That Use Fuels Other Than
Carbon-Containing Fuel
We are proposing a new paragraph 40 CFR 1036.530(j) for engines
that use fuels other than carbon-containing fuel. The off-cycle test
procedures in 40 CFR 1036.530 use CO2 as a surrogate for
engine power. This approach works for engines that are fueled with
carbon-containing fuel, since power correlates to fuel mass rate and
for carbon-containing fuels, fuel mass rate is proportional to the
CO2 mass rate of the exhaust. For fuels other than carbon-
containing fuels, the fuel mass rate is not proportional to the
CO2 mass rate of the exhaust. To address this issue, we are
proposing, for fuels other than carbon-containing fuels, to use engine
power directly instead of relying on CO2 mass rate to
determine engine power. For field testing where engine torque and speed
is not directly measured, engine broadcasted speed and torque can be
used as described in 40 CFR 1065.915(d)(5).
xiv. Onboard Diagnostic and Inducement Amendments
EPA is proposing to make changes to specific aspects of paragraphs
within 40 CFR 1036.110 and 1036.111 to add clarifications and correct
minor errors in the OBD and inducement provisions adopted in the HD2027
final rule.\615\ Specifically, EPA is proposing the following:
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\615\ EPA is not reopening any aspect of our OBD and inducement
provisions other than those proposed clarifications and corrections
specifically identified in this section.
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40 CFR 1036.110(b)(6): Proposing to correct a reference to
the CARB regulation to be consistent with our intent as described in
the preamble of the final rule (see 88 FR 4372) to not require
manufacturer self-testing and reporting requirements in 13 CCR
1971.1(l)(4).
40 CFR 1036.110(b)(9): Proposing to clarify that the list
of data parameters readable by a generic scan tool is limited to
components that are subject to existing OBD monitoring requirements
(e.g., through comprehensive component requirements in 13 CCR
1971.1(g)(3)). For example, if parking brake status was not included in
an engine's OBD certificate, it would not be a required data parameter.
40 CFR 1036.110(b)(11): Proposing to add a reference to 13
CCR 1971.5. The final rule referenced 13 CCR 1971.1 to point to OBD
testing deadlines; however, there are additional OBD testing deadlines
specified in 1971.5.
40 CFR 1036.110(c)(1) and 40 CFR 1036.125(h)(8)(iii):
Proposing to correct terminology within these provisions by referring
to inducements related to ``DEF level'' instead of ``DEF quantity,'' to
make the intent clearer that the system must use the level of DEF in
the DEF tank for purposes of evaluating the specified inducement
triggering condition. We separately refer to the quantity of DEF
injection for managing the functioning of the SCR catalyst, which is
unrelated to the level of DEF in the DEF tank.
40 CFR 1036.111: Proposing to edit for clarity, to
eliminate confusion with onboard diagnostic terminology. More
specifically, proposing edits to adjust inducement-related terminology
to refer to ``inducement triggering conditions'' instead of ``fault
conditions.'' Inducement algorithms are executed through OBD
algorithms, but the inducement triggers are separate from OBD fault
conditions related to the malfunction indicator light.
40 CFR 1036.111(a)(2): Proposing to clarify how to
determine the speed category when there is less than 30 hours of
accumulated data. The regulation as adopted sets the inducement
schedule based on average vehicle speed over the preceding 30 hours of
non-idle operation. That instruction will cover most circumstances;
however, there is no specific instruction for an inducement triggering
condition that occurs before the vehicle accumulates 30 hours of non-
idle operation. As described in the final rule, we depend on 30 hours
of non-idle operation to establish which inducement schedule is
appropriate for a vehicle. We are also aware that a newly purchased
vehicle would have
[[Page 26022]]
accumulated several hours of very low-speed operation before being
placed into service. We are therefore proposing to specify that engines
should not be designed to assess the speed category for inducement
triggering conditions until the vehicle has accumulated 30 hours of
non-idle operation. We are proposing that manufacturers should program
engines with a setting categorizing them as high-speed vehicles until
they accumulate 30 hours of data to avoid applying an inappropriate
speed schedule.
40 CFR 1036.111(d)(1), Table 2: Proposing to correct a
typographical error for the middle set of columns that should read
``Medium-speed'' instead of repeating ``Low-speed.'' The table was
correctly published in the preamble to the final rule (see 88 FR 4378).
We are proposing to add an inadvertently omitted notation in the table
to identify the placement of a footnote to the table.
xv. Engine Data and Information To Support Vehicle Certification
We are proposing to update 40 CFR 1036.505 to clarify that when
certifying vehicles with GEM, for any fuel type not identified in Table
1 of 40 CFR 1036.550, the manufacturer would identify the fuel type as
diesel fuel for engines subject to compression-ignition standards, and
would identify the fuel type as gasoline for engines subject to spark-
ignition standards. This proposed change to 40 CFR 1036.505, is
intended to clarify what was originally intended for fuels that are not
specified in Table 1 of 40 CFR 1036.550. This proposed clarification
would address the potential situation where, if a fuel is input into
GEM other than the fuel types identified in Table 1 of 40 CFR 1036.550,
GEM will output an error.
3. Updates to 40 CFR Part 1037 Heavy-Duty Motor Vehicle Provisions
i. Standards for Qualifying Small Businesses
As noted in Section II.I, we are proposing that qualifying small
manufacturers would continue to be subject to the existing MY 2027 and
later standards. We are proposing to revise 40 CFR 1037.150(c) to
specify the standards that apply for qualifying small business vehicle
manufacturers in light of this proposal to adopt new standards for
those model years. Specifically, we are renumbering the current
paragraphs to apply through MY 2026 and adding new paragraphs that
would apply for MY 2027 and later, including three tables that show the
small business CO2 emission standards for vocational
vehicles, custom chassis vocational vehicles, and tractors. The
proposed updates also include the proposed limitations on generating
credits for averaging only (no banking, trading, or use of credit
multipliers) unless the small manufacturer certifies to the Phase 3
standards.
ii. Vehicles With Engines Using Fuels Other Than Carbon-Containing
Fuels
In the HD2027 final rule, we adopted revisions to 40 CFR
1037.150(f) to include fuel cell electric vehicles, in addition to
battery electric vehicles, in the provision that deems tailpipe
emissions of regulated GHG pollutants as zero and does not require
CO2-related emission testing. As discussed in Section
II.D.1, hydrogen-fueled internal combustion engines are a newer
technology under development and since hydrogen has no carbon, H2 ICEs
fueled with neat hydrogen would produce zero HC, CO, and CO2
engine-out emissions. Therefore, we are proposing to include vehicles
using engines fueled with neat hydrogen in 40 CFR 1037.150(f) so that
their CO2 tailpipe emissions are deemed to be zero and
manufacturers are not required to perform any engine testing for
CO2 emissions. This proposed revision would not change the
requirements for H2 ICE engines, including those fueled with neat
hydrogen, to meet the N2O GHG standards or the criteria
pollutant emission standards in 40 CFR part 1036. We request comment on
this proposed revision to include H2 ICE in 40 CFR 1037.150(f).
Additionally, we are proposing to revise 40 CFR 1037.150(f) to
replace ``electric vehicles'' with ``battery electric vehicles'', and
``hydrogen fuel cell vehicles'' with ``fuel cell electric vehicles'',
consistent with proposed revisions to those definitions (see Section
III.C.3.xiii).
iii. ABT Calculations
We are proposing clarifying revisions to the definitions of two
variables of the emission credit calculation for ABT in 40 CFR
1037.705. As noted in Section II.C, we propose to update the emission
standard variable (variable ``Std'') to establish a common reference
emission standard when calculating ABT emission credits for vocational
vehicles with tailpipe CO2 emissions deemed to be zero
(i.e., BEVs, FCEVs, and vehicles with engines fueled with pure
hydrogen), which would be the CI Multi-Purpose vehicle regulatory
subcategory standard for the applicable weight class. We also propose
to revise the ``Volume'' variable to replace the term ``U.S.-directed
production volume'' with a reference to the paragraph (c) where we are
also proposing updates consistent with the proposed revision to the
definition of U.S.-directed production volume. With the proposed
revision to paragraph (c), we intend for 40 CFR 1037.705(c) to replace
``U.S.-directed production volume'' as the primary reference for the
appropriate production volume to apply with respect to the ABT program
and propose to generally replace throughout part 1037.
iv. U.S.-Directed Production Volume
The CAA requires that every HD engine and vehicle be covered by a
certificate of conformity indicating compliance with the applicable EPA
regulations.\616\ In the existing 40 CFR 1037.205, which describes
requirements for the application for certification, we currently use
the term U.S.-directed production volume and are now proposing that
manufacturers should, instead, be reporting total nationwide production
volumes that include any production volumes certified to different
state standards.
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\616\ CAA sections 203 and 206, 42 U.S.C. 7522 and 7525.
---------------------------------------------------------------------------
In the recent HD2027 rule, we amended the corresponding heavy-duty
highway engine provision in 40 CFR 1036.205 to replace ``U.S.-directed
production volume'' with the more general term ``nationwide'', noting
that manufacturers were already reporting the intended total nationwide
production, including production that meets different state standards.
In this rule, for the reasons explained in Section III.A.1, we are
proposing a broader change to the definition of ``U.S.-directed
production volume'' and the proposed new definition would not require
us to change the term used in 1037.205 to ensure manufacturers report
nationwide production volumes.\617\ We are proposing revisions to the
introductory paragraph of 40 CFR 1037.705(c), consistent with the
proposed revisions to the corresponding HD engine provisions, to
establish this paragraph as the reference for which engines are
excluded from the production volume used to calculate emission credits
for HD highway (see Section III.C.2.iv). Similarly, the proposed
changes include replacing several instances of ``U.S.-directed
production volume'' with a more general ``production volume'' where the
[[Page 26023]]
text clearly is connected to ABT or a more specific reference to the
production volume specified in 40 CFR 1037.705(c).\618\
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\617\ As noted in Section III.C.2.iv, we are proposing to adopt
the same updated definition of ``U.S.-directed production volume''
in 40 CFR 1036.801, with additional corresponding proposed updates
to not revise existing exclusions of production volumes certified to
different standards (i.e., the NOX ABT program for HD
engines).
\618\ See proposed revisions in 40 CFR 1037.150(c) and
1037.730(b).
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v. Revisions to Hybrid Powertrain Testing and Axle Efficiency Testing
We are proposing to add a new figure to 40 CFR 1037.550 to give an
overview on how to carry out hybrid powertrain testing in that section.
We are proposing in the axle efficiency test in 40 CFR 1037.560(e)(2)
to allow the use of an alternate lower gear oil temperature range on a
test point by test point basis in addition to the current alternate
that requires the use of the same lower temperature range for all test
points within the test matrix. This would provide more representative
test results as not all test points within a matrix for a given axle
test will result in gear oil temperatures within the same range.
vi. Removal of Trailer Provisions
As part of the HD GHG Phase 2 rulemaking, we set standards for
certain types of trailers used in combination with tractors (see 81 FR
73639, October 25, 2016). We are proposing to remove the regulatory
provisions related to trailers in 40 CFR part 1037 to carry out a
decision by the U.S. Court of Appeals for the D.C. Circuit, which
vacated the portions of the HD GHG Phase 2 final rule that apply to
trailers.\619\ The proposed revisions include removal of specific
sections and paragraphs describing trailer provisions and related
references throughout the part. Additionally, we are proposing new
regulatory text for an existing test procedure that currently refers to
a trailer test procedure. The existing 40 CFR 1037.527 describes a
procedure for manufacturers to measure aerodynamic performance of their
vocational vehicles by referring to the A to B testing methodology for
trailers in 40 CFR 1037.525. We are proposing to copy the regulatory
text describing A to B testing from the trailer procedure into 40 CFR
1037.527 (such that it replaces the cross-referencing regulatory text).
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\619\ Truck Trailer Manufacturers Association v. EPA, 17 F.4th
1198 (D.C. Cir. 2021).
---------------------------------------------------------------------------
vii. Removal of 40 CFR 1037.205(q)
We are proposing to correct an inadvertent error and remove the
existing 40 CFR 1037.205(q). This paragraph contains requirements we
proposed in HD2027 but did not finalize and thus did not intend to
include in the final rule's amendatory instructions, regarding
information for battery electric vehicles and fuel cell electric
vehicles to show they meet the standards of 40 CFR part 1037.
viii. Adding Full Cylinder Deactivation to 40 CFR 1037.520(j)(1)
We are proposing to credit vehicles with engines that include full
cylinder deactivation during coasting at 1.5 percent. We believe this
is appropriate since the same 1.5 percent credit is currently provided
for tractors and vocational vehicles with neutral coasting, and both
technologies reduce CO2 emissions by reducing the engine
braking during vehicle coasting.\620\ Cylinder deactivation can reduce
engine braking by closing both the intake and exhaust valves when there
is no operator demand to reduce the pumping losses of the engine when
motoring. Because of this, only vehicles with engines where both
exhaust and intake valves are closed when the vehicle is coasting would
qualify for the 1.5 percent credit.
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\620\ See the HD GHG Phase 2 rule (81 FR 73598, October 25,
2016), for more information on how 1.5 percent was determined for
neutral coasting.
---------------------------------------------------------------------------
ix. Removal of Chassis Testing Option Under 40 CFR 1037.510 and
Reference Update
We are proposing to remove the chassis dynamometer testing option
for testing over the duty cycles as described in 40 CFR 1037.510(a).
The chassis dynamometer testing was available as an option for Phase 1
testing in 40 CFR 1037.615. We are proposing to remove it to avoid
confusion as the chassis dynamometer testing option is only allowed
when performing off-cycle testing following 40 CFR 1037.610 and is not
allowed for creating the cycle average fuel map for input into GEM.
Note that manufacturers may continue to test vehicles on a chassis
dynamometer to quantify off-cycle credits under 40 CFR 1037.610.
We are also proposing to correct paragraph reference errors in 40
CFR 1037.510(a)(2)(iii) and (iv). These paragraphs reference the warmup
procedure in 40 CFR 1036.520(c)(1). The warmup procedure is actually
located in 40 CFR 1036.520(d).
x. Utility Factor Clarification for Testing Engines With a Hybrid Power
Takeoff Shaft
We are proposing to clarify the variable description for the
utility factor fraction UFRCD in 40 CFR 1037.540(f)(3)(ii).
The current description references the use of an ``approved utility
factor curve''. The original intent was to use the power take off
utility factors that reside in Appendix E to 40 CFR part 1036 to
generate a utility factor curve to determine UFRCD. We are
proposing to clarify this by replacing ``approved utility factor
curve'' with a reference to the utility factors in Appendix E.
xi. Heavy-Duty Vehicles at or Below 14,000 Pounds GVWR
The standards proposed in this rule would apply for all heavy-duty
vehicles above 14,000 pounds GVWR, except as noted in existing 40 CFR
1037.150(l). We are not proposing changes to the option for
manufacturers to voluntarily certify incomplete vehicles at or below
14,000 pounds GVWR to 40 CFR part 1037 instead of certifying under 40
CFR part 86, subpart S; the proposed standards in this rule would also
apply for those incomplete heavy-duty vehicles. We propose to remove 40
CFR 1037.104, which currently states that HD vehicles subject to 40 CR
part 86, subpart S, are not subject to the 40 CFR 1037 standards;
instead, we propose that manufacturers refer to 40 CFR 1037.5 for
excluded vehicles.\621\
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\621\ This proposed change includes removing the reference to 40
CFR 1037.104 in 40 CFR1037.1.
---------------------------------------------------------------------------
In a parallel rulemaking to set new emission standards for light-
duty and medium-duty vehicles under 40 CFR part 86, subpart S, we
intend to propose a requirement for those vehicles at or below 14,000
pounds GVWR with a high tow rating to have installed engines that have
been certified to the engine-based criteria emission standards in 40
CFR part 1036. This would apply for both complete vehicles and
incomplete vehicles with Gross Combined Weight Rating above 22,000
pounds. Some of those vehicles would continue to meet GHG standards
under 40 CFR 86.1819 instead of meeting the engine-based GHG standards
in 40 CFR part 1036 and the vehicle-based GHG standards in 40 CFR part
1037. In particular, under the parallel proposed rule, manufacturers of
incomplete vehicles at or below 14,000 pounds GVWR with a high tow
rating would continue to have the option of either meeting the
greenhouse gas standards under 40 CFR parts 1036 and 1037, or instead
meeting the greenhouse gas standards with chassis-based measurement
procedures under 40 CFR part 86, subpart S.
xii. Updates to Optional Standards for Tractors at or Above 120,000
Pounds
In HD GHG Phase 2 and in a subsequent rulemaking, we adopted
optional heavy Class 8 tractor CO2 emission standards for
tractors with a GCWR above 120,000 pounds (see 40
[[Page 26024]]
CFR 1037.670).\622\ We did this because most manufacturers tend to rely
on U.S. certificates as their evidence of conformity for products sold
into Canada to reduce compliance burden. Therefore, in Phase 2 we
adopted provisions that allow the manufacturers the option to meet
standards that reflect the appropriate technology improvements, along
with the powertrain requirements that go along with higher GCWR. While
these heavy Class 8 tractor standards are optional for tractors sold
into the U.S. market, Canada adopted these as mandatory requirements as
part of their regulatory development and consultation process. We
propose to sunset the optional standards after MY 2026.\623\
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\622\ 81 FR 73582 (October 25, 2016) and 86 FR 34338 (June 29,
2021).
\623\ This proposed sunset would remove the standards listed in
the rightmost column of existing Table 1 of Sec. 1037.670; we note
that the column is intended for model years 2027 and later
standards, but is mistakenly labeled ``Model years 2026 and later''.
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xiii. Updates to 40 CFR Part 1037 Definitions
We are proposing several updates to the definitions in 40 CFR
1037.801. As noted in Section III.C.3.vi, we are proposing to remove
the trailer provisions, which include removing the following
definitions: Box van, container chassis, flatbed trailer, standard
tractor, and tank trailer. We also propose to revise several
definitions to remove references to trailers or trailer-specific
sections, including definitions for: Class, heavy-duty vehicle, low
rolling resistance tire, manufacturer, model year, Phase 1, Phase 2,
preliminary approval, small manufacturer, standard payload, tire
rolling resistance, trailer, and vehicle.
We also propose new and updated definitions in support of several
proposed requirements in Section II or this Section III. We propose to
replace the existing definition of ``electric vehicle'' with more
specific definitions for the different vehicle technologies and energy
sources that could be used to power these vehicles. Specifically, we
propose new definitions for battery electric vehicle, fuel cell
electric vehicle, and plug-in hybrid electric vehicle. We also propose
to replace the existing definition of ``hybrid engine or hybrid
powertrain'' with a definition of ``hybrid'' that refers to a revised
definition in 40 CFR part 1036.\624\ We also propose to update U.S.-
directed production volume to be equivalent to nationwide production.
---------------------------------------------------------------------------
\624\ See Section III.C.2.xii for a description of the updated
definition of hyrid.
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We propose several editorial revisions to definitions as well. We
propose to revise the definition of vehicle to remove the text of
existing paragraph (2)(iii) and move the main phrase of that removed
paragraph (i.e., ``when it is first sold as a vehicle'') to the
description of ``complete vehicle'' to further clarify that aspect of
the existing definition. We propose to revise the existing definition
of small manufacturer, in addition to the proposed revisions removing
reference to trailers, to clarify that the employee and revenue limits
include the totals from all affiliated companies and added a reference
to the definition of affiliated companies in 40 CFR 1068.30.
xiv. Miscellaneous Corrections and Clarifications in 40 CFR Part 1037
We are proposing to revise several references to 40 CFR part 86
revisions. Throughout 40 CFR part 1037, we are proposing to replace
references to 40 CFR 86.1816 or 86.1819 with a more general reference
to the standards of part 86, subpart S. We propose these revisions to
reduce the need to update references to specific part 86 sections if
new standards are added to a different section in a future rule. We are
not proposing to revise any references to specific part 86 paragraphs
(e.g., 40 CFR 86.1819-14(j)).
We propose to move the duplicative statements in 40 CFR 1036.105(c)
and 1037.106(c) regarding CH4 and N2O standards
from their current locations to 40 CFR 1037.101(a)(2)(i) where we
currently describe the standards that apply in part 1037. We also
propose to update 40 CFR 1037.101(a)(2)(i) to more accurately state
that only CO2 standards are described in 40 CFR 1037.105 and
1037.106, by removing reference to CH4 and N2O in
that sentence. We propose to update the section title for 40 CFR
1037.102 to include the term ``Criteria'' and the list of components
(i.e., NOX, HC, PM, and CO) covered by the section to be
consistent with the naming convention used in 40 CFR part 1036.
4. Updates to 40 CFR Part 1065 Engine Testing Procedures
i. Engine Testing and Certification With Fuels Other Than Carbon-
Containing Fuels
Alternative fuels and fuels other than carbon-containing fuels are
part of the fuel pathway for sustainable biofuel, e-fuel, and clean
hydrogen development under the U.S. National Blueprint for
Transportation Decarbonization.\625\ This blueprint anticipates a mix
of battery electric, sustainable fuel, and hydrogen use to achieve a
net zero carbon emissions level by 2050 for the heavy-duty sector. EPA
is proposing updates to 40 CFR part 1065 to facilitate certification of
engines using fuels other than carbon-containing fuels for all sectors
that use engine testing to show compliance with the standards. This
includes a new definition of ``carbon-containing fuel'' in 40 CFR
1065.1001, and the proposed addition of a new chemical balance
procedure in section 40 CFR 1065.656 that would be used in place of the
carbon-based chemical balance procedure in 40 CFR 1065.655 when an
engine is certified for operation using fuels other than carbon-
containing fuels (e.g., hydrogen or ammonia).\626\ Since these fuels do
not contain carbon, the current carbon-based chemical balance cannot be
used as it is designed based on comparisons of the amount of carbon in
the fuel to the amount measured post combustion in the exhaust. The
chemical balance for fuels other than carbon-containing fuels looks at
the amount of hydrogen in the fuel versus what is measured in the
exhaust. The proposed amendments also facilitate certification of an
engine on a mix of carbon-containing fuels and fuels other than carbon-
containing fuels.
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\625\ The U.S. National Blueprint for Transportation
Decarbonization: A Joint Strategy to Transform Transportation. DOE/
EE-2674. January 2023. Available at: https://www.energy.gov/sites/default/files/2023-01/the-us-national-blueprint-for-transportation-decarbonization.pdf.
\626\ We are also proposing a definition for ``carbon-containing
fuel'' in 40 CFR 1036.801 that references the proposed new 40 CFR
part 1065 definition.
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The proposed addition of the certification option for fuels other
than carbon-containing fuels relies on inputs requiring hydrogen,
ammonia, and water concentration measurement from the exhaust.
Therefore, we are proposing the addition of new sections in 40 CFR part
1065 and proposing revisions to some existing sections to support the
procedure in 40 CFR 1065.656. We are proposing a new 40 CFR 1065.255 to
provide specifications for hydrogen measurement devices, a new 40 CFR
1065.257 to provide specifications for water measurement using a
Fourier Transform Infrared (FTIR) analyzer, and a new 40 CFR 1065.277
to provide specifications for ammonia measurement devices. These
additions also require a proposed new 40 CFR 1065.357 to address
CO2 interference when measuring water using an FTIR
analyzer, a proposed new 40 CFR 1065.377 to address H2O
interference and any other interference species as deemed by the
instrument manufacturer or using good engineering judgment when
measuring NH3 using an FTIR or laser infrared analyzers, and
the
[[Page 26025]]
proposed addition of calibration gases for these new analyzer types to
40 CFR 1065.750. We are also proposing to add drift check requirements
to 40 CFR 1065.550(b) to address drift correction of the H2,
O2, H2O, and NH3 measurements needed
in the 40 CFR 1065.656 procedure. This also includes the proposed
addition of drift check requirements in 40 CFR 1065.935(g)(5)(ii) for
testing with PEMS. We are also proposing to add a new 40 CFR
1065.750(a)(6) to address the uncertainty of the water concentrations
generated to perform the linearity verification of the water FTIR
analyzer in 40 CFR 1065.257. We are proposing two options to generate a
humid gas stream. The first is via a heated bubbler where dry gas is
passed through the bubbler at a controlled water temperature to
generate a gas with the desired water content. The second is a device
that injects heated liquid water into a gas stream. We are proposing
linearity verification of the humidity generator once a year to an
uncertainty of 3 percent; \627\ however, we are not
proposing to require that the calibration of the humidity generator
should be NIST traceable and request comment on whether that
calibration should be NIST traceable. We are proposing a requirement
for a leak check after the humidity generator is assembled, as these
devices are typically disassembled and stored when not in use and
subsequent assembly prior to use could lead to leaks in the system. We
are proposing to include calculations to determine the uncertainty of
the humidity generator from measurements of dewpoint and absolute
pressure. We are proposing a new definition for ``carbon-containing
fuel'' and ``lean-burn'' in 40 CFR 1065.1001 to further support the
addition of the certification option for engines using fuels other than
carbon-containing fuels. We request comment on these proposed changes
and their ability to allow certification of engines using fuels other
than carbon-containing fuels.
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\627\ The proposed verification schedule in 40 CFR
1065.750(a)(6) says: ``Calibrate the humidity generator upon initial
installation, within 370 days before verifying the H2O
measurement of the FTIR, and after major maintenance.''.
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We also request comment on whether we should add specifications for
alternative test fuels, like methanol, and fuels other than carbon-
containing fuels like hydrogen and ammonia, to 40 CFR part 1065,
subpart H. Currently, 40 CFR 1065.701(c) allows the use of test fuels
that we do not specify in 40 CFR part 1065, subpart H, with our
approval. If a comment is submitted that fuel specifications should be
included for these alternate test fuels, we request that the comment
include specifications for the fuels the comment specifies should be
included.
ii. Engine Speed Derate for Exhaust Flow Limitation
We are proposing a change to 40 CFR 1065.512(b)(1) to address the
appearance of three options for generating new reference duty-cycle
points for the engine to follow. The option in the existing 40 CFR
1065.512(b)(1)(i) isn't actually an option and instead gives direction
on how to operate the dynamometer (torque control mode). Under our
proposed revision, this sentence would be retained and moved into a new
40 CFR 1065.512(b)(1)(i) that contains some existing text split off
from the current 40 CFR 1065.512(b)(1). The two remaining options in
the current 40 CFR 1065.512(b)(1)(ii) and (iii) would be redesignated
as 40 CFR 1065.512(b)(1)(i)(A) and (B). The proposed restructuring of
40 CFR 1065.512(b)(1) and its subparagraphs address the proposed edits
described in the following paragraph.
We are proposing a change to 40 CFR 1065.512(b)(1) to address cycle
validation issues where an engine with power derate intended to limit
exhaust mass flowrate might include controls that reduce engine speed
under cold-start conditions, resulting in reduced exhaust flow that
assists other aftertreatment thermal management technologies (e.g.
electric heater). In this case, normalized speeds would generate
reference speeds above this engine speed derate, which would adversely
affect cycle validation. To address this, the proposed changes would
provide two options. The first option is if the engine control module
(ECM) broadcasts the engine derate speed that is below the denormalized
speed, the broadcast speed would then be used as the reference speed
for duty-cycle validation. The second option is if an ECM broadcast
signal is not available, the engine would be operated over one or more
practice cycles to determine the engine derate speed as a function of
cycle time. Under this option, any cycle reference speed that is
greater than the engine derate speed would be replaced with the engine
derate speed.
iii. Accelerated Aftertreatment Aging
We recently finalized a new accelerated aftertreatment aging
procedure for use in deterioration factor determination in 40 CFR
1065.1131 through 1065.1145. We request comment on the need for
potential changes to the procedure based on experience that
manufacturers and test labs have gained since the procedure was
finalized.
iv. Nonmethane Cutter Water Interference Correction
We recently finalized options and requirements for gaseous fueled
engines to allow a correction for the effect of water on the nonmethane
cutter (NMC) performance, as gaseous fueled engines produce much higher
water content in the exhaust than gasoline or diesel fuels, impacting
the final measured emission result.\628\ The correction is done by
adjusting the methane and ethane response factors used for the Total
Hydrocarbon (THC) Flame Ionization Detector (FID) and the combine
methane response factor and penetration fraction and combined ethane
response factor and penetration fraction of the NMC FID. These response
factors and penetration fractions are then used to determine NMHC and
methane concentrations based on the molar water concentration in the
raw or diluted exhaust. EPA is aware that test labs that have attempted
to implement this correction have reported that this new option is
lacking clarity with respect to the implementation of these corrections
from both a procedural and emission calculation perspective. Test labs
and manufacturers have also requested the option to use the water
correction for all fuels, not just gaseous fuels. Test labs and
manufacturers have also stated that in their view, as written, 40 CFR
1065.360(d)(12) indicates that the water correction for the methane
response factor on the THC FID is required; we note that was not our
intent and are thus proposing to clarify that provision.
---------------------------------------------------------------------------
\628\ 86 FR 34543 (June 29, 2021).
---------------------------------------------------------------------------
In addition to general edits that improve the consistency of
terminology and the rearrangement of some paragraphs to improve the
flow of the procedure, we are proposing the following changes to 40 CFR
1065.360, 1065.365, and 1065.660 to address the concerns raised
regarding implementation and use of the NMC performance corrections. In
40 CFR 1065.360 and 1065.365, we are proposing to allow the optional
use of the water correction for the applicable response factors and
penetration fractions for engines operated on any fuel, as the use of
the correction improves the quality of the emission measurement even
though the effect is less pronounced for liquid fuels. In 40 CFR
1065.360, we are proposing revisions to clarify that determination of
the FID methane response factor as a
[[Page 26026]]
function of molar water concentration is optional for all fuels. In 40
CFR 1065.365, we are proposing to remove the recommendation of a
methane penetration fraction of greater than 0.85 for the NMC FID
because the procedure will account for the effect of the penetration
fraction regardless of the level of NMC methane penetration. We are
also proposing a corresponding change in relation to another change
proposed in this rule, such that the requirements for linearity
performance of the humidity generator would meet the proposed
uncertainty requirements in 40 CFR 1065.750(a)(6) that we are proposing
to address the accuracy of humidity generators used in the calibration
of the FTIRs used for water measurement. In 40 CFR 1065.660, we are
proposing to modify equations 1065.660-2 and 1065.660-9 by adding the
variable for the methane response factor and penetration fraction for
the NMC FID back into the equations, which we previously removed for
simplification because the value was set to a constant of one. This
modification would have no effect on the outcome of the calculations in
the event that the effect of water on the NMC performance is not being
accounted for because the procedure directs that the methane response
factor and penetration fraction for the NMC FID are set to one. In the
event that the effect of water is being accounted for, these modified
equations would make it easier to understand the requirements of the
procedure.
v. ISO 8178 Exceptions in 40 CFR 1065.601
40 CFR 1065.601(c)(1) allows the use of ISO 8178 mass-based
emission calculations instead of the calculations specified in 40 CFR
part 1065 subpart G with two exceptions. We are proposing to update the
section reference to the exception in 40 CFR 1065.601(c)(1)(i) for
NOX humidity and temperature correction from ISO 8178-1
Section 14.4 to ISO 8178-4 Section 9.1.6 to address updates made to ISO
8178 over the last 20 years that changed the location of this
correction. We are also proposing to remove the exception for the use
of the particulate correction factor for humidity in ISO 8178-1 Section
15.1 because this correction factor no longer exists in ISO 8178.
vi. Work System Boundary in 40 CFR 1065.210
Figure 1 in 40 CFR 1065.210 provides diagrams for the work inputs,
outputs, and system boundaries for engines. We are proposing to update
the diagram for liquid cooled engines in Figure 1 to paragraph (a) of
40 CFR 1065.210 to include electric heaters that use work from an
external power source. We are also proposing to update 40 CFR
1065.210(a) to include an example of an engine exhaust electrical
heater and direction on how to simulate the efficiency of the
electrical generator, to account for the work of the electrical heater.
We are proposing an efficiency of 67 percent, as this is the value used
in 40 CFR 86.1869-12(b)(4)(xiii) as the baseline alternator efficiency
when determining off-cycle improvements of high efficiency alternators.
We request comment on the proposed value of 67 percent and request that
commenters provide data if you comment that a value different than 67
percent should be used.
IV. Proposed Program Costs
In this section, we present the costs we estimate would be incurred
by manufacturers and purchasers of HD vehicles impacted by the proposed
standards. We also present the social costs of the proposed standards.
Our analyses characterize the costs of the technology package described
in section II.E of the preamble; however, as we note there,
manufacturers may elect to comply using a different combination of HD
vehicle and engine technologies than what we have identified. We break
the costs into the following categories and subcategories:
(1) Technology Package Costs, which are the sum of direct
manufacturing costs (DMC) and indirect costs. This may also be
called the ``package RPE.'' This includes:
a. DMC, which include the costs of materials and labor to
produce a product or piece of technology.
b. Indirect costs, which include research and development (R&D),
warranty, corporate operations (such as salaries, pensions, health
care costs, dealer support, and marketing), and profits.\629\ We
estimate indirect costs using retail price equivalent (RPE) markups.
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\629\ Technology costs represent costs that manufacturers are
expected to attempt to recapture via new vehicle sales. As such,
profits are included in the indirect cost calculation. Clearly,
profits are not a ``cost'' of compliance--EPA is not imposing new
regulations to force manufacturers to make a profit. However,
profits are necessary for manufacturers in the heavy-duty industry,
a competitive for-profit industry, to sustain their operations. As
such, manufacturers are expected to make a profit on the compliant
vehicles they sell, and we include those profits in estimating
technology costs.
---------------------------------------------------------------------------
(2) Manufacturer Costs, or ``manufacturer RPE,'' which is the
package RPE less any applicable battery tax credits. This includes:
a. Package RPE. Traditionally, the package RPE is the
manufacturer RPE in EPA cost analyses.
b. Battery tax credit from IRA section 13502, ``Advanced
Manufacturing Production Credit,'' which serve to reduce
manufacturer costs. The battery tax credit is described further in
Sections I and II of this preamble and Chapters 1 and 2 of the DRIA.
(3) Purchaser Costs, which are the sum of purchaser upfront
vehicle costs and operating costs. This includes:
a. Manufacturer RPE. In other words, the purchaser incurs the
manufacturer's package costs less any applicable battery tax
credits. We refer to this as the ``manufacturer RPE'' in relation to
the manufacturer and, at times, the ``purchaser RPE'' in relation to
the purchaser. These two terms are equivalent in this analysis.
b. Vehicle tax credit from IRA section 13403, ``Qualified
Commercial Clean Vehicles,'' which serve to reduce purchaser costs.
The vehicle tax credit is described further in Sections I and II of
this preamble and Chapters 1 and 2 of the DRIA.
c. Electric Vehicle Supply Equipment (EVSE) costs, which are the
costs associated with charging equipment. Our EVSE cost estimates
include indirect costs so are sometimes referred to as ``EVSE RPE.''
d. Purchaser upfront vehicle costs, which include the
manufacturer (also referred to as purchaser) RPE plus EVSE costs
less any applicable vehicle tax credits.
e. Operating costs, which include fuel costs, electricity costs,
costs for diesel exhaust fluid (DEF), and maintenance and repair
costs.
(4) Social Costs, which are the sum of package RPE, EVSE RPE,
and operating costs and computed on at a fleet level on an annual
basis. This includes:
a. Package RPE which excludes applicable tax credits.
b. EVSE RPE.
c. Operating costs which include pre-tax fuel costs, DEF costs
and maintenance and repair costs.
d. Note that fuel taxes and battery and vehicle tax credits are
not included in the social costs. Taxes and tax credits are
transfers as opposed to social costs.
We describe these costs and present our cost estimates in the text
that follows. All costs are presented in 2021 dollars, unless noted
otherwise. We used the MOVES scenarios discussed in DRIA Chapter 4, the
reference and proposed cases,\630\ to compute technology costs and
operating costs as well as social costs on an annual basis. Our costs
and tax credits estimated on a per vehicle basis do not change between
the reference and proposal cases, but the estimated vehicle populations
that would be ICE vehicles, BEVs or FCEVs do change between the
reference and proposal cases. We expect an increase in BEV and FCEV
sales and a decrease in ICE vehicle sales in the proposal compared to
the reference case and these changes in vehicle populations are the
determining factor
[[Page 26027]]
for total cost differences between the reference and proposal cases.
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\630\ As discussed in DRIA Chapter 4.2.2, the reference case is
a no-action scenario that represents emissions in the U.S. without
the proposed rulemaking and the proposed case represents emissions
in the U.S. with the proposed GHG standards.
---------------------------------------------------------------------------
But first we discuss the relevant IRA tax credits and how we have
considered them in our estimates. Note that the analysis that follows
sometimes presents undiscounted costs and sometimes presents discounted
costs. We discount future costs and benefits to properly characterize
their value in the present or, as directed by the Office of Management
and Budget in Advisory Circular A-4, in the year costs and benefits
begin. Also in Circular A-4, OMB directs use of both 3 and 7 percent
discount rates as we have done with some exceptions.\631\ We request
comment, including data, on all aspects of the cost analysis. In
particular, we request comment on our assessment of the IRA tax credits
(see Sections IV.C.2 and IV.D.2) and operating costs (see Section
IV.D.5). We also request comment, including data, on alternative
approaches to estimating cost that may help inform our cost estimates
for the final rulemaking.
---------------------------------------------------------------------------
\631\ See Advisory Circular A-4, Office of Management and
Budget, September 17, 2003.
---------------------------------------------------------------------------
A. IRA Tax Credits
Our cost analysis quantitatively includes consideration of two IRA
tax credits, specifically the battery tax credit and the vehicle tax
credit discussed in Sections I.C.2 and II.E.4 of the preamble and
Chapters 1.3.2, 2.4.3, and 3.1 of the DRIA. We note that a detailed
discussion of how these tax credits were considered in our
consideration of costs in our technology packages may be found in
Section II.E of the preamble and Chapter 2.4.3 of the DRIA. The battery
tax credits are expected to reduce manufacturer costs, and in turn
purchaser costs, as discussed in Section IV.C The vehicle tax credits
are expected to reduce purchaser costs, as discussed in Section IV.D.2.
For the cost analysis discussed in this Section IV, both the battery
tax credit and vehicle tax credit were estimated for MYs 2027 through
2032 and then aggregated for each MOVES source type and regulatory
class.
We request comment on our assessment of the impact of the IRA tax
credits.
B. Technology Package Costs
Technology package costs include estimated technology costs
associated with compliance with the proposed MY 2027 and later
CO2 emission standards (see Chapter 3 of the DRIA).
Individual technology piece costs are presented in Chapter 2 and 3 of
the DRIA. In general, for the first MY of each proposed emission
standard, the per vehicle individual technology piece costs consist of
the DMC estimated for each vehicle in the model year of the proposed
standards and are used as a starting point in estimating both the
technology package costs and total incremental costs. Following each
year of when costs are first incurred, we have applied a learning
effect to represent the cost reductions expected to occur via the
``learning by doing'' phenomenon.\632\ The ``learning by doing''
phenomenon is the process by which doing something over and over
results in learning how to do that thing more efficiently which, in
turn, leads to reduced resource usage, i.e., cost savings. This
provides a year-over-year cost for each technology as applied to new
vehicle production, which is then used to calculate total technology
package costs of the proposed standards.
---------------------------------------------------------------------------
\632\ ``Cost Reduction through Learning in Manufacturing
Industries and in the Manufacture of Mobile Sources, Final Report
and Peer Review Report,'' EPA-420-R-16-018, November 2016.
---------------------------------------------------------------------------
This technology package cost calculation approach presumes that the
expected technologies would be purchased by the vehicle original
equipment manufacturers (OEMs) from their suppliers. So, while the DMC
estimates for the OEM in Section IV.B.1 include the indirect costs and
profits incurred by the supplier, the indirect cost markups we apply in
Section IV.B.2 cover the indirect costs incurred by OEMs to incorporate
the new technologies into their vehicles and profit margins for the OEM
typical of the heavy-duty vehicle industry. To address these OEM
indirect costs, we then applied industry standard ``retail price
equivalent'' (RPE) markup factors to the DMC to estimate indirect costs
associated with the new technology. These factors represent an average
price, or retail price equivalent (RPE), for products assuming all
products recapture costs in the same way. We recognize that this is
rarely the case since manufacturers typically price certain products
higher than average and others lower than average (i.e., they cross-
subsidize). For that reason, the RPE should not be considered a price
but instead should be considered more like the average cross-subsidy
needed to recapture both costs and profits to support ongoing business
operations. Both the learning effects applied to direct costs and the
application of markup factors to estimate indirect costs are consistent
with the cost estimation approaches used in EPA's past HD GHG
regulatory programs.\633\ The sum of the DMC and indirect costs
represents our estimate of technology ``package costs'' or ``package
RPE'' per vehicle year-over-year. These per vehicle technology package
costs are multiplied by estimated sales for the proposed and reference
scenarios. Then the total technology package-related costs for
manufacturers (total package costs or total package RPE) associated
with the proposed HD vehicle CO2 standards is the difference
between the proposed and reference scenarios.
---------------------------------------------------------------------------
\633\ See the 2011 heavy-duty greenhouse gas rule (76 FR 57106,
September 15, 2011); the 2016 heavy-duty greenhouse gas rule (81 FR
73478, October 25, 2016).
---------------------------------------------------------------------------
1. Direct Manufacturing Costs
To produce a unit of output, manufacturers incur direct and
indirect manufacturing costs. DMC include cost of materials and labor
costs. Indirect manufacturing costs are discussed in the following
section, IV.A.2. The DMCs presented here include the incremental
technology piece costs associated with compliance with the proposed
standards as compared to the technology piece costs associated with the
comparable baseline vehicle.\634\ We based the proposed standards on
technology packages that include both ICE vehicle and ZEV technologies.
In our analysis, the ICE vehicles include a suite of technologies that
represent a vehicle that meets the existing MY 2027 Phase 2
CO2 emission standards. Therefore, our direct manufacturing
costs for the ICE vehicles are considered to be $0 because we did not
add additional CO2-reducing technologies to the ICE vehicles
beyond those in the baseline vehicle. The DMC of the BEVs or FCEVs are
the technology piece costs of replacing an ICE powertrain with a BEV or
FCEV powertrain for a comparable vehicle.
---------------------------------------------------------------------------
\634\ Baseline vehicles are ICE vehicles meeting the Phase 2
standards discussed in DRIA chapter 2.2.2 and the Low NOX
standards discussed in DRIA chapter 2.3.2.
---------------------------------------------------------------------------
Throughout this discussion, when we refer to reference case costs
we are referring to our cost estimate of the no-action case (impacts
absent this proposed rule) which include costs associated with
replacing a comparable ICE powertrain with a BEV or FCEV powertrain for
ZEV adoption rates in the reference case.
We have estimated the DMC by starting with the cost of the baseline
vehicle, removing the cost of the ICE powertrain, and adding the cost
of a BEV or FCEV powertrain, as presented in Chapter 2 and 3 of the
DRIA. In other words, net incremental costs reflect adding the total
costs of components added to the powertrain to make it a BEV or FCEV,
as well as removing the
[[Page 26028]]
total costs of components removed from a comparable ICE vehicle to make
it a BEV or FCEV.
Chapter 4 of the DRIA contains a description of the MOVES vehicle
source types and regulatory classes. In short, we estimate costs in
MOVES for vehicle source types that have both regulatory class
populations and associated emission inventories. Also, throughout this
section, LHD refers to light heavy-duty vehicles, MHD refers to medium
heavy-duty vehicles, and HHD refers to heavy heavy-duty vehicles.
The direct costs are then adjusted to account for learning effects
on BEV, FCEV and ICE vehicle powertrains on an annual basis going
forward beginning with the first year of the analysis, e.g. MY 2027,
for the proposed and reference scenarios. Overall, we anticipate the
number of ICE powertrains (including engines and transmissions)
manufactured each year will decrease as more ZEVs enter the market.
This scenario may lead to an increase in component costs for ICE
powertrains. On the other hand, with the inclusion of new hardware
costs projected to meet the HD2027 emission standards, we would expect
learning effects would reduce the incremental cost of these
technologies. Chapter 3 of the DRIA includes a detailed description of
the approach used to apply learning effects in this analysis and we
request data and information to refine our learning effects. The
resultant DMC per vehicle and how those costs decrease over time on a
fleet level are presented in Section IV.E.1 of this preamble. We
request comment on this approach, including methods for accounting for
the projected future ICE costs.
2. Indirect Manufacturing Costs
Indirect manufacturing costs are all the costs associated with
producing the unit of output that are not direct manufacturing costs--
for example, they may be related to research and development (R&D),
warranty, corporate operations (such as salaries, pensions, health care
costs, dealer support, and marketing) and profits. An example of a R&D
cost for this proposal includes the engineering resources required to
develop a battery state of health monitor as described in Section
III.B.1. An example of a warranty cost is the future cost covered by
the manufacturer to repair defective BEV or FCEV components and meet
the warranty requirements proposed in Section III.B.2. Indirect costs
are generally recovered by allocating a share of the indirect costs to
each unit of goods sold. Although direct costs can be allocated to each
unit of goods sold, it is more challenging to account for indirect
costs allocated to a unit of goods sold. To ensure that regulatory
analyses capture the changes in indirect costs, markup factors (which
relate total indirect costs to total direct costs) have been developed
and used by EPA and other stakeholders. These factors are often
referred to as retail price equivalent (RPE) multipliers and are
typically applied to direct costs to estimate indirect costs. RPE
multipliers provide, at an aggregate level, the proportionate share of
revenues relative shares of revenue where:
Revenue = Direct Costs + Indirect Costs
Revenue/Direct Costs = 1 + Indirect Costs/Direct Costs = RPE
multiplier
Resulting in:
Indirect Costs = Direct Costs x (RPE-1)
If the relationship between revenues and direct costs (i.e., RPE
multiplier) can be shown to equal an average value over time, then an
estimate of direct costs can be multiplied by that average value to
estimate revenues, or total costs. Further, that difference between
estimated revenues, or total costs, and estimated direct costs can be
taken as the indirect costs. Cost analysts and regulatory agencies have
frequently used these multipliers to predict the resultant impact on
costs associated with manufacturers' responses to regulatory
requirements and we are using that approach in this analysis.
The proposed cost analysis estimates indirect costs by applying the
RPE markup factor used in past EPA rulemakings (such as those setting
GHG standards for heavy-duty vehicles and engines).\635\ The markup
factors are based on company filings with the Securities and Exchange
Commission for several engine and engine/vehicle manufacturers in the
heavy-duty industry.\636\ The RPE factors for the HD vehicle industry
as a whole are shown in Table IV-1. Also shown in Table IV-1 are the
RPE factors for light-duty vehicle manufacturers.\637\
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\635\ 76 FR 57106; 81 FR 73478.
\636\ Heavy Duty Truck Retail Price Equivalent and Indirect Cost
Multipliers, Draft Report, July 2010.
\637\ Rogozhin,A., et al., Using indirect cost multipliers to
estimate the total cost of adding new technology in the automobile
industry. International Journal of Production Economics (2009),
doi:10.1016/j.ijpe.2009.11.031.
\638\ Note that the report used the term ``HD Truck'' while EPA
generally uses the term ``HD vehicle;'' they are equivalent when
referring to this report.
Table IV-1--Retail Price Equivalent Factors in the Heavy-Duty and Light-
Duty Industries
------------------------------------------------------------------------
HD truck LD vehicle
Cost contributor industry \638\ industry
------------------------------------------------------------------------
Direct manufacturing cost............... 1.00 1.00
Warranty................................ 0.03 0.03
R&D..................................... 0.05 0.05
Other (admin, retirement, health, etc.). 0.29 0.36
Profit (cost of capital)................ 0.05 0.06
RPE..................................... 1.42 1.50
------------------------------------------------------------------------
For this analysis, EPA based indirect cost estimates for diesel and
compressed natural gas (CNG) regulatory classes on the HD Truck
Industry RPE value shown in Table IV-1. We are using an RPE of 1.42 to
compute the indirect costs associated with the replacement of a diesel-
fueled or CNG-fueled powertrain with a BEV or FCEV powertrain. For this
analysis, EPA based indirect cost estimates for gasoline regulatory
classes on the LD Vehicle RPE value shown in Table IV-1. We are using
an RPE of 1.5 to compute the indirect costs associated with the
replacement of a gasoline-fueled powertrain with a BEV or FCEV
powertrain. The heavy-duty vehicle industry is becoming more vertically
integrated and the direct and indirect manufacturing costs we are
analyzing are those that reflect the technology packages costs OEMs
would try to recover at the end purchaser, or retail, level. For that
reason, we believe the two respective vehicle industry RPE values
represent the most appropriate factors for this analysis. We request
data
[[Page 26029]]
to inform RPE factors for the heavy-duty industry.
3. Vehicle Technology Package RPE
Table IV-2 presents the total fleet-wide incremental technology
costs estimated for the proposal relative to the reference case for the
projected adoption of ZEVs in our technology package relative to the
reference case on an annual basis. As previously explained in this
section, the costs shown in Table IV-2 reflect marginal direct and
indirect manufacturing costs of the technology package for the proposed
CO2 standards as compared to the baseline vehicle.
It is important to note that these are costs and not prices. We do
not attempt to estimate how manufacturers would price their products in
the technology package costs. Manufacturers may pass costs along to
purchasers via price increases that reflect actual incremental costs to
manufacture a ZEV when compared to a comparable ICE vehicle. However,
manufacturers may also price products higher or lower than what would
be necessary to account for the incremental cost difference. For
instance, a manufacturer may price certain products higher than
necessary and price others lower with the higher-priced products
effectively subsidizing the lower-priced products. This pricing
strategy may be true in any market and is not limited to the heavy-duty
vehicle industry. It may be used for a variety of reasons, not solely
as a response to regulatory programs.
Table IV-2--Total Fleet-Wide Incremental Technology Costs for ZEVs, for
the Proposed Option Relative to the Reference Case Millions of 2021
Dollars \a\
------------------------------------------------------------------------
Vehicle
Calendar year package RPE
------------------------------------------------------------------------
2027.................................................... $2,000
2028.................................................... 1,800
2029.................................................... 1,700
2030.................................................... 2,000
2031.................................................... 2,300
2032.................................................... 2,000
2033.................................................... 1,500
2034.................................................... 1,300
2035.................................................... 1,000
2036.................................................... 750
2037.................................................... 620
2038.................................................... 410
2039.................................................... 220
2040.................................................... 140
2041.................................................... -40
2042.................................................... -200
2043.................................................... -360
2044.................................................... -410
2045.................................................... -550
2046.................................................... -690
2047.................................................... -820
2048.................................................... -850
2049.................................................... -970
2050.................................................... -1,100
2051.................................................... -1,100
2052.................................................... -1,200
2053.................................................... -1,300
2054.................................................... -1,400
2055.................................................... -1,500
PV, 3%.................................................. 9,000
PV, 7%.................................................. 10,000
------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote
lower costs, i.e., savings in expenditures.
C. Manufacturer Costs
1. Relationship to Technology Package RPE
The manufacturer costs in EPA's past HD GHG rulemaking cost
analyses on an average-per-vehicle basis was only the average-per-
vehicle technology package RPE described in Section II.F.5.i. However,
in the cost analysis for this proposal, we are also taking into account
the IRA battery tax credit in our estimates of manufacturer costs (also
referred to in this section as manufacturer's RPE), as we expect the
battery tax credit to reduce manufacturer costs, and in turn purchaser
costs.
2. Battery Tax Credit
Table IV-3 shows the annual estimated fleet-wide battery tax
credits from IRA section 13502, ``Advanced Manufacturing Production
Credit,'' for the proposal relative to the reference case in 2021
dollars. These estimates were based on the detailed discussion in DRIA
Chapter 2 of how we considered battery tax credits. Both BEVs and FCEVs
include a battery in the powertrain system that may meet the IRA
battery tax credit requirements if the applicable criteria are met. The
battery tax credits begin to phase down starting in CY 2030 and expire
after CY 2032.
Table IV-3--Battery Tax Credit in Millions of 2021 Dollars for the
Proposed Option Relative to the Reference Case \a\
------------------------------------------------------------------------
Battery tax
Calendar year credits
------------------------------------------------------------------------
2027.................................................... $340
2028.................................................... 560
2029.................................................... 880
2030.................................................... 890
2031.................................................... 650
2032.................................................... 380
2033 and later.......................................... 0
PV, 3%.................................................. 3,300
PV, 7%.................................................. 2,900
------------------------------------------------------------------------
\a\ Values rounded to two significant digits.
3. Manufacturer RPE
The manufacturer RPE for BEVs is calculated by subtracting the
battery tax credit in Table IV-3 from the corresponding technology
package RPE from Table IV-2 and the resultant manufacturer RPE is shown
in Table IV-4. Table IV-4 reflects learning effects on vehicle package
RPE and battery tax credits from CY 2027 through 2055. The sum of the
vehicle package RPE and battery tax credits for each year is shown in
the manufacturer RPE column. The difference in manufacturer RPE between
the proposal and reference case is presented in Table IV-4.
Table IV-4--Total Vehicle Package RPE, Battery Tax Credits, and Manufacturer RPE (including Battery Tax Credits)
for the Proposed Option Relative to the Reference Case, All Regulatory Classes and All Fuels, Millions of 2021
Dollars \a\
----------------------------------------------------------------------------------------------------------------
Vehicle Battery tax Manufacturer
Calendar year package RPE credits RPE
----------------------------------------------------------------------------------------------------------------
2027............................................................ $2,000 -$340 $1,600
2028............................................................ 1,800 -560 1,200
2029............................................................ 1,700 -880 820
2030............................................................ 2,000 -890 1,100
[[Page 26030]]
2031............................................................ 2,300 -650 1,700
2032............................................................ 2,000 -380 1,700
2033............................................................ 1,500 0 1,500
2034............................................................ 1,300 0 1,300
2035............................................................ 1,000 0 1,000
2036............................................................ 750 0 750
2037............................................................ 620 0 620
2038............................................................ 410 0 410
2039............................................................ 220 0 220
2040............................................................ 140 0 140
2041............................................................ -40 0 -40
2042............................................................ -200 0 -200
2043............................................................ -360 0 -360
2044............................................................ -410 0 -410
2045............................................................ -550 0 -550
2046............................................................ -690 0 -690
2047............................................................ -820 0 -820
2048............................................................ -850 0 -850
2049............................................................ -970 0 -970
2050............................................................ -1,100 0 -1,100
2051............................................................ -1,100 0 -1,100
2052............................................................ -1,200 0 -1,200
2053............................................................ -1,300 0 -1,300
2054............................................................ -1,400 0 -1,400
2055............................................................ -1,500 0 -1,500
PV, 3%.......................................................... 9,000 -3,300 5,700
PV, 7%.......................................................... 10,000 -2,900 7,100
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
D. Purchaser Costs
1. Purchaser RPE
The purchaser RPE is the estimated upfront vehicle cost paid by the
purchaser prior to considering the IRA vehicle tax credits. Note, as
explained in Section IV.C, we do consider the IRA battery tax credit in
estimating the manufacturer RPE, which in this analysis we then
consider to be equivalent to the purchaser RPE because we assume full
pass-through of the IRA battery tax credit from the manufacturer to the
purchaser. In other words, in this analysis, the manufacturer RPE and
purchaser RPE are equivalent terms. The purchaser RPEs reflect the same
values as the corresponding manufacturer RPEs presented in Section
IV.C.3.
2. Vehicle Purchase Tax Credit
Table IV-5 shows the annual estimated vehicle tax credit for BEV
and FCEV vehicles from IRA section 13403, ``Qualified Commercial Clean
Vehicles,'' for the proposal relative to the reference case, in 2021
dollars. These estimates were based on the detailed discussion in DRIA
Chapter 2 of how we considered vehicle tax credits. The vehicle tax
credits carry through to MY 2032 with the value diminishing over time
as vehicle costs decrease due to the learning effect as shown in DRIA
Chapter 2. Beginning in CY 2033, the tax credit program expires.
Table IV-5--Vehicle Tax Credit in Millions 2021 Dollars for the Proposed
Option Relative to the Reference Case \a\
------------------------------------------------------------------------
Calendar year Tax credit
------------------------------------------------------------------------
2027.................................................... $810
2028.................................................... 670
2029.................................................... 630
2030.................................................... 1,100
2031.................................................... 1,600
2032.................................................... 1,900
2033 and later.......................................... 0
PV, 3%.................................................. 5,900
PV, 7%.................................................. 5,000
------------------------------------------------------------------------
\a\ Values rounded to two significant digits.
3. Electric Vehicle Supply Equipment Costs
EVSE and associated costs are described in Chapter 2.6 of the DRIA.
EVSE is needed for charging of BEVs and is not needed for FCEVs.\639\
The EVSE cost estimates are assumed to include both direct and indirect
costs and are sometimes referred to in this proposal as EVSE RPE costs.
For these EVSE cost estimates, we assume that up to two vehicles can
share one DCFC port if there is sufficient dwell time for both vehicles
to meet their daily charging needs.\640\ While fleet owners may also
choose to share Level 2 chargers across vehicles, we are conservatively
assigning one Level 2 charger per vehicle. As discussed in the DRIA, we
assume that EVSE costs are incurred by purchasers, i.e. heavy-duty
vehicle purchasers/owners. Some purchasers may be eligible for a
Federal tax credit for charging equipment.\641\ See DRIA
[[Page 26031]]
Chapter 1.3.2 for a discussion of this tax credit and DRIA Chapter
2.6.5.2 for a description of how we considered it in our cost analysis.
We analyzed EVSE costs in 2021 dollars on a fleet-wide basis for this
analysis. The annual costs associated with EVSE in the proposal
relative to the reference case are shown in Table IV-6.
---------------------------------------------------------------------------
\639\ As discussed in DRIA Chapter 2.5, rather than focusing on
depot hydrogen fueling infrastructure costs that would be incurred
upfront, we included FCEV infrastructure costs in our per-kilogram
retail price of hydrogen. Retail price of hydrogen is the total
price of hydrogen when it becomes available to the end user,
including the costs of production, distribution, storage, and
dispensing at a fueling station. This approach is consistent with
the method we use in HD TRUCS for comparable ICE vehicles, where the
equivalent diesel fuel costs are included in the diesel fuel price
instead of accounting for the costs of fuel stations separately.
\640\ We note that for some of the vehicle types we evaluated,
more than two vehicles could share a DCFC port and still meet their
daily electricity consumption needs. However, we are choosing to
limit DCFC sharing to two vehicles per EVSE port pending market
developments and more robust dwell time estimates.
\641\ IRA Section 13404, ``Alternative Fuel Refueling Property
Credit,'' modifies an existing Federal tax credit available for
alternative fuel refueling property, including EV charging
equipment, and extends the tax credit through 2032. Beginning in
2023, this provision provides a tax credit of up to 30 percent of
the cost of the qualified alternative fuel refueling property (e.g.
HD BEV charger), up to 100,000, when located in low-income or non-
urban area census tracts and certain other other requirements are
met.
---------------------------------------------------------------------------
We request comment on our estimated EVSE costs as well as our
proposal to add EVSE costs to each vehicle's purchaser RPE costs in
estimating purchaser costs.
Table IV-6--EVSE Costs for the Proposed Option Relative to the Reference
Case, Millions 2021 Dollars \a\
------------------------------------------------------------------------
Calendar year EVSE costs
------------------------------------------------------------------------
2027.................................................... $1,300
2028.................................................... 1,600
2029.................................................... 1,900
2030.................................................... 2,000
2031.................................................... 2,200
2032.................................................... 2,600
2033.................................................... 2,600
2034.................................................... 2,600
2035.................................................... 2,500
2036.................................................... 2,500
2037.................................................... 2,500
2038.................................................... 2,500
2039.................................................... 2,600
2040.................................................... 2,600
2041.................................................... 2,600
2042.................................................... 2,600
2043.................................................... 2,700
2044.................................................... 2,700
2045.................................................... 2,700
2046.................................................... 2,700
2047.................................................... 2,700
2048.................................................... 2,700
2049.................................................... 2,800
2050.................................................... 2,800
2051.................................................... 2,800
2052.................................................... 2,900
2053.................................................... 2,900
2054.................................................... 2,900
2055.................................................... 2,900
PV, 3%.................................................. 47,000
PV, 7%.................................................. 29,000
------------------------------------------------------------------------
\a\ Values rounded to two significant digits.
4. Purchaser Upfront Vehicle Costs
The expected upfront incremental costs to the purchaser include the
purchaser RPE discussed in Section IV.D.1 less the vehicle tax credit
discussed in Section IV.D.2 plus the EVSE RPE in IV.D.3. Table IV-7
shows the estimated incremental upfront purchaser costs for BEVs and
FCEVs by calendar year for the proposed option relative to the
reference case. Note that EVSE costs are associated with BEVs only;
FCEVs do not have any associated EVSE costs.
Table IV-7--Incremental Purchaser Upfront Costs for the Proposed Option Relative to the Reference Case for in
Millions 2021 Dollars \a\
----------------------------------------------------------------------------------------------------------------
Vehicle
Calendar year Purchaser RPE purchase tax EVSE costs Total upfront
credit purchaser cost
----------------------------------------------------------------------------------------------------------------
2027............................................ $1,600 -$810 $1,300 $2,200
2028............................................ 1,200 -670 1,600 2,100
2029............................................ 820 -630 1,900 2,100
2030............................................ 1,100 -1,100 2,000 2,100
2031............................................ 1,700 -1,600 2,200 2,300
2032............................................ 1,700 -1,900 2,600 2,400
2033............................................ 1,500 0 2,600 4,100
2034............................................ 1,300 0 2,600 3,800
2035............................................ 1,000 0 2,500 3,500
2036............................................ 750 0 2,500 3,200
2037............................................ 620 0 2,500 3,100
2038............................................ 410 0 2,500 3,000
2039............................................ 220 0 2,600 2,800
2040............................................ 140 0 2,600 2,700
2041............................................ -40 0 2,600 2,600
2042............................................ -200 0 2,600 2,400
2043............................................ -360 0 2,700 2,300
2044............................................ -410 0 2,700 2,300
2045............................................ -550 0 2,700 2,100
2046............................................ -690 0 2,700 2,000
2047............................................ -820 0 2,700 1,900
2048............................................ -850 0 2,700 1,900
2049............................................ -970 0 2,800 1,800
2050............................................ -1,100 0 2,800 1,700
2051............................................ -1,100 0 2,800 1,700
2052............................................ -1,200 0 2,900 1,700
2053............................................ -1,300 0 2,900 1,600
2054............................................ -1,400 0 2,900 1,500
2055............................................ -1,500 0 2,900 1,400
PV, 3%.......................................... 5,700 -5,900 47,000 47,000
PV, 7%.......................................... 7,100 -5,000 29,000 31,000
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
[[Page 26032]]
5. Operating Costs
We have estimated three types of operating costs associated with
the proposed HD Phase 3 CO2 emission standards and our
potential projected technology pathway to comply with those proposed
standards that includes BEV or FCEV powertrains. These three types of
operating costs include decreased fuel costs of BEVs compared to
comparable ICE vehicles, avoided diesel exhaust fluid (DEF) consumption
by BEVs and FCEVs compared to comparable diesel-fueled ICE vehicles,
and reduced maintenance and repair costs of BEVs and FCEVs as compared
to comparable ICE vehicles. To estimate each of these costs, the
results of MOVES runs, as discussed in DRIA Chapter 4, were used to
estimate costs associated with fuel consumption, DEF consumption, and
VMT. We have estimated the net effect on fuel costs, DEF costs, and
maintenance and repair costs. We describe our approach in this Section
IV.D.5.
Additional details on our methodology and estimates of operating
costs per mile impacts are included in DRIA Chapter 3.4. Chapter 4 of
the DRIA contains a description of the MOVES vehicle source types and
regulatory classes. In short, we estimate costs in MOVES for vehicle
source types that have both regulatory class populations and associated
emission inventories. Also, throughout this section, LHD refers to
light heavy-duty vehicles, MHD refers to medium heavy-duty vehicles,
and HHD refers to heavy heavy-duty vehicles.
i. Costs Associated With Fuel Usage
To determine the total costs associated with fuel usage for MY 2027
vehicles, the fuel usage for each MOVES source type and regulatory
class was multiplied by the fuel price from the AEO 2022 reference case
for diesel, gasoline, and CNG prices over the first 28 years of the
lifetime of the vehicle.\642\ Fuel costs per gallon and kWh are
discussed in DRIA Chapter 2. We used retail fuel prices since we expect
that retail fuel prices are the prices paid by owners of these ICE
vehicles. For electric vehicle costs, the electricity price from the
AEO 2022 reference case for commercial electricity end-use prices in
cents per kWh was multiplied by the fuel usage in kWh.\643\ For
hydrogen vehicle fuel costs, a value of $6.10/kg starting in 2027 and
linearly decreasing to $4/kg in 2030 and held constant until 2055, as
discussed in DRIA Chapter 2.5.3.1, was multiplied by fuel usage in kg.
To calculate the average cost per mile of fuel usage for each scenario,
MOVES source type and regulatory class, the fuel cost was divided by
the VMT for each of the MY 2027 vehicles over the 28-year period. The
estimates of fuel cost per mile for MY 2027 vehicles under the proposal
are shown in Table IV-8 with 3 percent discounting and Table IV-9 with
7 percent discounting. Values shown as a dash (``-''), in Table IV-8
and Table IV-9 represent cases where a given MOVES source type and
regulatory class did not use a specific fuel type for MY 2027
vehicles.\644\
---------------------------------------------------------------------------
\642\ Reference Case Projection Tables, U.S. Energy Information
Administration. Annual Energy Outlook 2022.
\643\ U.S. Energy Information Administration. Annual Energy
Outlook 2022.
\644\ For example, there were no vehicles in our MOVES runs for
the transit bus source type in the LHD45 regulatory class that where
diesel-fueled, so the value in the table is represented as a dash
(``-'').
Table IV-8--Retail Fuel Cost Per Mile for MY 2027 Vehicles During the First 28 Years for Each MOVES Source Type and Regulatory Class by Fuel Type \a\
[Cents/Mile in 2021 dollars, 3% discounting]
--------------------------------------------------------------------------------------------------------------------------------------------------------
MOVES source type Regulatory class Diesel Gasoline Electricity CNG Hydrogen
--------------------------------------------------------------------------------------------------------------------------------------------------------
Other Buses............................... LHD45....................... - 37.2 23.9 - -
MHD67....................... 31.3 - 29.5 - -
HHD8........................ 32.4 - 30.6 40.1 -
Transit Bus............................... LHD45....................... - 37.1 14.7 - -
MHD67....................... 31.5 - 18.0 - -
Urban Bus................... 32.8 - 18.4 40.1 -
School Bus................................ LHD45....................... - 27.5 10.1 - -
MHD67....................... 24.4 30.4 13.1 - -
HHD8........................ 25.7 - 13.8 32.5 -
Refuse Truck.............................. MHD67....................... 33.9 43.0 22.2 - -
HHD8........................ 35.3 - 23.2 44.1 -
Single Unit Short-haul Truck.............. LHD45....................... 16.7 25.7 9.0 - -
MHD67....................... 25.3 32.5 13.7 - -
HHD8........................ 30.4 - 16.4 38.5 -
Single Unit Long-haul Truck............... LHD45....................... 15.7 24.4 14.9 - 23.2
MHD67....................... 23.7 30.4 22.6 - 35.1
HHD8........................ 28.5 - 27.1 36.4 42.2
Combination Short-haul Truck.............. MHD67....................... 34.5 - 24.8 - -
HHD8........................ 36.0 - 25.9 42.9 -
Combination Long-haul Truck............... MHD67....................... 33.0 - - - 47.6
HHD8........................ 33.6 - - 39.4 48.5
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest tenth of a cent; dashes (``-'') represent cases where there are no vehicles powered by that specific fuel type in our
MOVES runs for each specific source type and regulatory class of MY 2027 vehicles.
[[Page 26033]]
Table IV-9--Retail Fuel Cost Per Mile for Model Year 2027 Vehicles During the First 28 Years for Each MOVES Source Type and Regulatory Class by Fuel
Type \a\
[Cents/mile in 2021 dollars, 7% discounting]
--------------------------------------------------------------------------------------------------------------------------------------------------------
MOVES source type Regulatory class Diesel Gasoline Electricity CNG Hydrogen
--------------------------------------------------------------------------------------------------------------------------------------------------------
Other Buses............................... LHD45....................... - 26.3 16.9 - -
MHD67....................... 22.1 - 20.9 - -
HHD8........................ 22.9 - 21.7 28.3 -
Transit Bus............................... LHD45....................... - 26.5 10.6 - -
MHD67....................... 22.6 - 12.9 - -
Urban Bus................... 23.5 - 13.2 28.6 -
School Bus................................ LHD45....................... - 19.4 7.2 - -
MHD67....................... 17.3 21.4 9.3 - -
HHD8........................ 18.2 - 9.8 22.9 -
Refuse Truck.............................. MHD67....................... 24.9 31.4 16.3 - -
HHD8........................ 25.9 - 17.0 32.2 -
Single Unit Short-haul Truck.............. LHD45....................... 12.8 19.6 6.9 - -
MHD67....................... 19.4 24.8 10.5 - -
HHD8........................ 23.3 - 12.6 29.3 -
Single Unit Long-haul Truck............... LHD45....................... 12.2 18.9 11.6 - 18.3
MHD67....................... 18.4 23.6 17.5 - 27.8
HHD8........................ 22.1 - 21.0 28.2 33.3
Combination Short-haul Truck.............. MHD67....................... 27.0 - 19.4 - -
HHD8........................ 28.2 - 20.2 33.5 -
Combination Long-haul Truck............... MHD67....................... 24.8 - - - 36.4
HHD8........................ 25.3 - - 29.6 37.1
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest tenth of a cent; dashes (``-'') represent cases where there are no vehicles powered by that specific fuel type in our
MOVES runs for each specific source type and regulatory class of MY 2027 vehicles.
ii. Costs Associated With Diesel Exhaust Fluid
DEF consumption costs in heavy-duty vehicles were estimated in the
HD2027 final rule.\645\ We are applying the same methodology in this
analysis to estimate the total costs of DEF under the proposed HD Phase
3 CO2 standards. An example of total cost estimates of DEF
for MY 2027 vehicles is provided in Table IV-10 and Table IV-11 for 3
percent and 7 percent discounting, respectively. To determine the total
costs associated with DEF usage for MY 2027 vehicles, the DEF usage for
each MOVES source type and regulatory class was multiplied by the DEF
price over the first 28 years of the lifetime of the vehicle.\646\ To
calculate the average cost of DEF per mile for each MOVES Source Type
and regulatory class, the total DEF cost was divided by the total VMT
for each of the MY 2027 vehicles over the 28-year period. The DEF cost
was computed for the reference case and proposed standard. The
estimates on DEF cost per mile for the reference and proposed cases are
shown in Table IV-10 for 3 percent discounting and Table IV-11 for 7
percent discounting. Several source types and regulatory classes
contain no diesel-fueled ICE vehicles and therefore no DEF consumption
costs. These cases are represented as zeros in Table IV-10 and Table
IV-11. Table IV-10 and Table IV-11 show a reduction or no change in DEF
costs per mile, which is to be expected due to an increased number of
BEVs and FCEVs modeled for the proposed case compared to the reference
case.
---------------------------------------------------------------------------
\645\ 88 FR 4296, January 24, 2023.
\646\ This analysis uses the DEF prices presented in the NCP
Technical Support Document (see ``Nonconformance Penalties for On-
highway Heavy-duty Diesel Engines: Technical Support Document,''
EPA-420-R-12-014) with growth beyond 2042 projected at the same 1.3
percent rate as noted in the NCP TSD. Note that the DEF prices used
update the NCP TSD's 2011 prices to 2021 dollars.
Table IV-10--DEF Cost Per Mile for Model Year 2027 Vehicles During the First 28 Years for Each MOVES Source Type
and Regulatory Class Across All Fuel Types \a\
[Cents/Mile in 2021 dollars, 3% discounting]
----------------------------------------------------------------------------------------------------------------
Proposal
MOVES source type Regulatory class Cost in Cost in change from
reference proposal reference
----------------------------------------------------------------------------------------------------------------
Other Buses........................... LHD45................... 0.00 0.00 0.00
MHD67................... 1.89 1.61 -0.29
HHD8.................... 1.72 1.72 0.00
Transit Bus........................... LHD45................... 0.00 0.00 0.00
MHD67................... 1.90 1.85 -0.05
Urban Bus............... 1.74 1.74 0.00
School Bus............................ LHD45................... 0.00 0.00 0.00
MHD67................... 1.37 0.96 -0.40
HHD8.................... 1.32 1.11 -0.20
Refuse Truck.......................... MHD67................... 2.03 2.03 0.00
HHD8.................... 1.86 1.58 -0.28
Single Unit Short-haul Truck......... LHD45................... 0.52 0.44 -0.08
MHD67................... 1.24 1.07 -0.18
HHD8.................... 1.70 1.40 -0.30
[[Page 26034]]
Single Unit Long-haul Truck........... LHD45................... 0.48 0.41 -0.07
MHD67................... 1.16 1.05 -0.12
HHD8.................... 1.59 1.43 -0.16
Combination Short-haul Truck.......... MHD67................... 2.08 1.92 -0.16
HHD8.................... 2.17 1.98 -0.18
Combination Long-haul Truck........... MHD67................... 2.00 2.00 0.00
HHD8.................... 2.04 2.04 0.00
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest hundredth of a cent; Negative values denote lower costs, i.e., savings in
expenditures.
Table IV-11--DEF Cost Per Mile for Model Year 2027 Vehicles During the First 28 Years for Each MOVES Source Type
and Regulatory Class Across All Fuel Types \a\
[Cents/mile in 2021 dollars, 7% discounting]
----------------------------------------------------------------------------------------------------------------
Proposal
MOVES source type Regulatory class Cost in Cost in change from
reference proposal reference
----------------------------------------------------------------------------------------------------------------
Other Buses........................... LHD45................... 0.00 0.00 0.00
MHD67................... 1.32 1.12 -0.20
HHD8.................... 1.20 1.20 0.00
Transit Bus........................... LHD45................... 0.00 0.00 0.00
MHD67................... 1.34 1.31 -0.04
Urban Bus............... 1.23 1.23 0.00
School Bus............................ LHD45................... 0.00 0.00 0.00
MHD67................... 0.95 0.67 -0.28
HHD8.................... 0.92 0.78 -0.14
Refuse Truck.......................... MHD67................... 1.47 1.47 0.00
HHD8.................... 1.35 1.15 -0.20
Single Unit Short-haul Truck.......... LHD45................... 0.39 0.33 -0.06
MHD67................... 0.94 0.81 -0.13
HHD8.................... 1.29 1.06 -0.23
Single Unit Long-haul Truck........... LHD45................... 0.37 0.32 -0.06
MHD67................... 0.90 0.81 -0.09
HHD8.................... 1.22 1.10 -0.12
Combination Short-haul Truck.......... MHD67................... 1.62 1.49 -0.12
HHD8.................... 1.68 1.54 -0.14
Combination Long-haul Truck........... MHD67................... 1.50 1.50 0.00
HHD8.................... 1.52 1.52 0.00
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest hundredth of a cent; negative values denote lower costs, i.e., savings in
expenditures.
iii. Costs Associated With Maintenance and Repair
We assessed the estimated maintenance and repair costs of HD BEVs
and FCEVs and compared these estimates with estimated maintenance and
repair costs for comparable HD ICE vehicles. The results of our
analysis show that maintenance and repair costs associated with HD BEVs
and FCEVs are estimated to be lower than maintenance and repair costs
associated with comparable ICE vehicles. The methodology for how we
calculated maintenance and repair costs were estimated is discussed in
Chapter 2 and 3 of the DRIA.
For the estimate of maintenance and repair costs for diesel-fueled
ICE vehicles, we relied on the research compiled by Burnham et al.,
2021, in Chapter 3.5.5 of ``Comprehensive Total Cost of Ownership
Quantification for Vehicles with Different Size Classes and
Powertrains'' and used equations found in the BEAN
model.647 648 Burnham et al. used data from Utilimarc and
ATRI to estimate maintenance and repair costs per mile for multiple
heavy-duty vehicle categories over time. We selected the box truck
curve to represent vocational vehicles and short-haul tractors, and the
semi-tractor curve to represent long-haul tractors. We assumed that
gasoline and CNG vehicles had the same maintenance and repair costs
curves as diesel vehicles.
---------------------------------------------------------------------------
\647\ Burnham, A., Gohlke, D., Rush, L., Stephens, T., Zhou, Y.,
Delucchi, M.A., Birky, A., Hunter, C., Lin, Z., Ou, S., Xie, F.,
Proctor, C., Wiryadinata, S., Liu, N., Boloor, M. ``Comprehensive
Total Cost of Ownership Quantification for Vehicles with Different
Size Classes and Powertrains''. Argonne National Laboratory. Chapter
3.5.5. April 1, 2021. Available at https://publications.anl.gov/anlpubs/2021/05/167399.pdf.
\648\ Argonne National Lab, Vehicle & Mobility Systems Group,
BEAN, found at: https://vms.taps.anl.gov/tools/bean/ (accessed
August 2022).
---------------------------------------------------------------------------
For BEVs and FCEVs, as discussed in Chapter 2 of the DRIA, the per-
mile rate of brake wear is expected to be lower when compared to
comparable ICE vehicles. Several literature sources propose multiplying
diesel vehicle maintenance costs by a factor to estimate BEV and FCEV
maintenance costs. We followed this approach and used a factor of 0.71
for BEVs and 0.75 for FCEV, based on the research in Wang et al.,
2022.\649\ Details of the
[[Page 26035]]
maintenance and repair on a cost per mile basis are discussed in
Chapter 3 of the DRIA.
---------------------------------------------------------------------------
\649\ Wang, G., Miller, M., and Fulton, L.'' Estimating
Maintenance and Repair Costs for Battery Electric and Fuel Cell
Heavy Duty Trucks, 2022. Available online: https://escholarship.org/content/qt36c08395/qt36c08395_noSplash_589098e470b036b3010eae00f3b7b618.pdf?t=r6zwjb.
---------------------------------------------------------------------------
The impacts of maintenance and repairs for MY 2027 vehicles in each
MOVES source type associated with the reference and proposed cases are
shown in Table IV-12 and Table IV-13 for 3- and 7-percent discount
rates, respectively. The proposed case shows either no change \650\ or
reductions in maintenance and repair costs when compared to the
reference case.
---------------------------------------------------------------------------
\650\ There are no changes to vehicle populations for MY 2027
between the proposal and reference cases for the MOVES source type
Combination Long-haul Truck, which is why the maintenance and repair
cost per mile shows no change between the proposal and reference
case.
Table IV-12--Maintenance and Repair per Mile for Model Year 2027 Vehicles During the First 28 Years for Each
MOVES Source Type, for all Vehicle Types \a\
[Cents/mile in 2021 dollars, 3% discounting]
----------------------------------------------------------------------------------------------------------------
Proposal
MOVES source type Cost in Cost in change from
reference proposal reference
----------------------------------------------------------------------------------------------------------------
Other Buses..................................................... 80.0 74.8 -5.2
Transit Bus..................................................... 78.4 75.6 -2.8
School Bus...................................................... 80.1 73.9 -6.2
Refuse Truck.................................................... 75.4 72.8 -2.6
Single Unit Short-haul Truck.................................... 69.2 66.2 -3.1
Single Unit Long-haul Truck..................................... 67.0 64.4 -2.5
Combination Short-haul Truck.................................... 66.1 64.6 -1.6
Combination Long-haul Truck..................................... 25.9 25.9 0.0
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest tenth of a cent; negative values denote lower costs, i.e., savings in
expenditures.
Table IV-13--Maintenance and Repair per Mile for Model Year 2027 Vehicles During the First 28 Years for Each
MOVES Source Type, for all Vehicle Types \a\
[Cents/mile in 2021 dollars, 7% discounting]
----------------------------------------------------------------------------------------------------------------
Proposal
MOVES source type Cost in Cost in change from
reference proposal reference
----------------------------------------------------------------------------------------------------------------
Other Buses..................................................... 48.8 45.6 -3.2
Transit Bus..................................................... 48.5 46.8 -1.7
School Bus...................................................... 48.8 45.0 -3.8
Refuse Truck.................................................... 48.8 47.1 -1.7
Single Unit Short-haul Truck.................................... 47.5 45.4 -2.1
Single Unit Long-haul Truck..................................... 46.8 45.1 -1.8
Combination Short-haul Truck.................................... 47.1 46.0 -1.1
Combination Long-haul Truck..................................... 17.5 17.5 0.0
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to the nearest tenth of a cent; negative values denote lower costs, i.e., savings in
expenditures.
6. Payback
A payback period is the point in time at which savings from reduced
operating expenses surpass increased upfront costs, typically estimated
in years. The payback period for a new vehicle purchase is an important
metric for many HD vehicle purchasers. In general, there is greater
willingness to pay for new technology if that new technology ``pays
back'' within an acceptable period of time. A payback period is
calculated in DRIA Chapter 2.8.2 using HD TRUCS for specific use cases.
Briefly, the incremental upfront costs for ZEV vehicles are estimated
in contrast to comparable ICE vehicles. In these incremental upfront
purchaser costs for ZEVs, IRA battery and vehicle tax credits were
taken into consideration. Then the expected operating costs differences
between ZEV and ICE vehicles are computed over time on an annual basis.
When the operating costs savings offset the incremental upfront
differences between ZEV and ICE vehicles, a breakeven point is met. The
amount of time from purchase to the breakeven point is defined as the
payback period. Payback periods are computed for specific vehicle types
in DRIA Chapter 2.8.2. See preamble Section II.E.6 for further
discussion on payback for the technology packages for the proposed
standards. The calculations do not represent specific vehicle classes
or specific use cases. However, the payback periods do provide a
general sense, on average, of payback periods at a national level.
E. Social Costs
To compute the social costs of the proposal, we added the estimated
total vehicle technology package RPE from Section IV.B.3, total
operating costs from Section IV.D.5, and total EVSE RPE from Section
IV.D.3. We note that the fuel costs in this subsection's social cost
analysis are estimated pre-tax rather than what the purchaser would pay
(i.e., the retail fuel price). All of the costs are computed for the
MOVES reference and proposed cases and cost impacts are presented as
the difference between the proposed and reference case. Additionally,
neither the battery tax credit nor the vehicle tax credit is included
in the social costs analysis discussed in this subsection.
1. Total Vehicle Technology Package RPE
Table IV-14 reflects learning effects on DMC and indirect costs
from 2027 through 2055. The sum of the DMC and indirect manufacturing
cost for each year is shown in the ``Total Technology
[[Page 26036]]
Package Costs'' column and reflects the difference in total cost
between the proposed and reference case in the specific calendar year.
Table IV-14--Total Technology Cost Impacts of the Proposed Option Relative to the Reference Case, All Regulatory
Classes and All Fuels, Millions of 2021 Dollars \a\
----------------------------------------------------------------------------------------------------------------
Direct Total
Calendar year manufacturing Indirect costs technology
costs package costs
----------------------------------------------------------------------------------------------------------------
2027........................................................... $1,400 $590 $2,000
2028........................................................... 1,200 520 1,800
2029........................................................... 1,200 500 1,700
2030........................................................... 1,400 590 2,000
2031........................................................... 1,600 680 2,300
2032........................................................... 1,400 600 2,000
2033........................................................... 1,100 440 1,500
2034........................................................... 900 380 1,300
2035........................................................... 710 300 1,000
2036........................................................... 530 220 750
2037........................................................... 440 180 620
2038........................................................... 290 120 410
2039........................................................... 160 66 220
2040........................................................... 95 40 140
2041........................................................... -29 -12 -40
2042........................................................... -140 -60 -200
2043........................................................... -250 -110 -360
2044........................................................... -290 -120 -410
2045........................................................... -390 -160 -550
2046........................................................... -490 -200 -690
2047........................................................... -580 -240 -820
2048........................................................... -600 -250 -850
2049........................................................... -680 -290 -970
2050........................................................... -760 -320 -1,100
2051........................................................... -770 -320 -1,100
2052........................................................... -850 -360 -1,200
2053........................................................... -930 -390 -1,300
2054........................................................... -1,000 -420 -1,400
2055........................................................... -1,100 -450 -1,500
PV, 3%......................................................... 6,300 2,700 9,000
PV, 7%......................................................... 7,100 3,000 10,000
----------------------------------------------------------------------------------------------------------------
\a\ Values show 2 significant digits; negative values denote lower costs, i.e., savings in expenditures.
2. Total EVSE RPE
Building on the analysis presented in Section IV.D.3 that discusses
EVSE RPE cost per vehicle, the annual EVSE RPE was estimated by
multiplying EVSE RPE on a per vehicle basis by the modeled number of
BEV sales in MOVES. Table IV-15 shows the undiscounted annual EVSE RPE
cost for the proposal relative to the reference case. The number of
EVSE are expected to increase over time for the proposal relative to
the reference case. This is due to the expected increase in BEVs
requiring EVSE. Thus, the proposal shows increased EVSE cost over time.
Table IV-15--Total EVSE RPE Cost Impacts of the Proposed Option Relative
to the Reference Case, All Regulatory Classes and All Fuels, Millions of
2021 Dollars \a\
------------------------------------------------------------------------
Total EVSE RPE
Calendar year cost impacts
------------------------------------------------------------------------
2027.................................................... $1,300
2028.................................................... 1,600
2029.................................................... 1,900
2030.................................................... 2,000
2031.................................................... 2,200
2032.................................................... 2,600
2033.................................................... 2,600
2034.................................................... 2,600
2035.................................................... 2,500
2036.................................................... 2,500
2037.................................................... 2,500
2038.................................................... 2,500
2039.................................................... 2,600
2040.................................................... 2,600
2041.................................................... 2,600
2042.................................................... 2,600
2043.................................................... 2,700
2044.................................................... 2,700
2045.................................................... 2,700
2046.................................................... 2,700
2047.................................................... 2,700
2048.................................................... 2,700
2049.................................................... 2,800
2050.................................................... 2,800
2051.................................................... 2,800
2052.................................................... 2,900
2053.................................................... 2,900
2054.................................................... 2,900
2055.................................................... 2,900
PV, 3%.................................................. 47,000
PV, 7%.................................................. 29,000
------------------------------------------------------------------------
3. Total Operating Costs
Annual fuel costs across the national fleet for each fuel type were
computed for the proposal and reference cases by multiplying the amount
of fuel
[[Page 26037]]
consumed for each vehicle modeled in MOVES by the cost of each fuel
type. Table IV-16 shows the undiscounted annual fuel savings for the
proposal relative to the reference case for each fuel type. Using
projected fuel prices from AEO and the estimated hydrogen prices as
discussed in Section IV.D.5.i, the total, national fleet-wide cost of
electricity and hydrogen consumption increase over time while the costs
for diesel, gasoline, and CNG consumption decrease over time, as shown
on an annual basis in Table IV-17. This is due to the expected increase
in BEVs and FCEVs resulting in fewer diesel, gasoline, and CNG vehicles
in the proposed case compared to the reference case. The net effect of
the proposal shows increased operating cost savings over time.
Table IV-16--Annual Undiscounted Pre-Tax Fuel Costs for the Proposal Relative to the Reference Case, Millions of 2021 Dollars \a\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Calendar year Diesel Gasoline CNG Electricity Hydrogen Sum
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027.................................................... -$370 -$160 -$4 $390 $0 -$150
2028.................................................... -810 -360 -8 840 0 -340
2029.................................................... -1,300 -590 -12 1,400 0 -580
2030.................................................... -2,300 -870 -24 1,900 520 -710
2031.................................................... -3,800 -1,200 -39 2,500 1,700 -710
2032.................................................... -5,600 -1,600 -59 3,200 3,300 -710
2033.................................................... -7,400 -2,100 -78 3,900 4,900 -680
2034.................................................... -9,100 -2,500 -97 4,600 6,500 -630
2035.................................................... -11,000 -2,900 -120 5,200 8,100 -610
2036.................................................... -12,000 -3,300 -130 5,700 9,600 -640
2037.................................................... -14,000 -3,800 -150 6,200 11,000 -710
2038.................................................... -15,000 -4,200 -170 6,600 12,000 -810
2039.................................................... -17,000 -4,600 -190 7,100 14,000 -780
2040.................................................... -18,000 -5,000 -220 7,500 15,000 -940
2041.................................................... -19,000 -5,400 -240 7,800 16,000 -1,100
2042.................................................... -20,000 -5,800 -260 8,200 17,000 -1,100
2043.................................................... -21,000 -6,200 -290 8,500 18,000 -1,400
2044.................................................... -22,000 -6,600 -320 8,700 19,000 -1,900
2045.................................................... -23,000 -7,000 -350 8,900 19,000 -2,200
2046.................................................... -24,000 -7,400 -380 9,200 20,000 -2,600
2047.................................................... -24,000 -7,800 -410 9,300 20,000 -2,800
2048.................................................... -25,000 -8,000 -440 9,500 21,000 -2,900
2049.................................................... -25,000 -8,400 -480 9,700 21,000 -3,000
2050.................................................... -25,000 -8,700 -520 9,800 21,000 -3,200
2051.................................................... -26,000 -9,100 -570 10,000 22,000 -3,400
2052.................................................... -26,000 -9,400 -610 10,000 22,000 -3,600
2053.................................................... -26,000 -9,700 -670 10,000 22,000 -3,800
2054.................................................... -26,000 -10,000 -720 10,000 23,000 -4,000
2055.................................................... -26,000 -10,000 -780 10,000 23,000 -4,300
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
Annual DEF costs for diesel vehicles were computed for the proposal
and reference cases by multiplying the modeled amount of DEF consumed
by the cost DEF. Table IV-17 shows the annual savings associated with
less DEF consumption in the proposal relative to the reference case;
note that non-diesel vehicles are shown for completeness with no
savings since those vehicles do not consume DEF.
Table IV-17--Annual Undiscounted DEF Costs for the Proposal Relative to the Reference Case, Millions of 2021
Dollars \a\
----------------------------------------------------------------------------------------------------------------
Gasoline, CNG,
electric,
Calendar year Diesel hydrogen Sum
vehicles
----------------------------------------------------------------------------------------------------------------
2027............................................................ -$27 $0 -$27
2028............................................................ -58 0 -58
2029............................................................ -97 0 -97
2030............................................................ -160 0 -160
2031............................................................ -270 0 -270
2032............................................................ -410 0 -410
2033............................................................ -540 0 -540
2034............................................................ -680 0 -680
2035............................................................ -810 0 -810
2036............................................................ -930 0 -930
2037............................................................ -1,100 0 -1,100
2038............................................................ -1,200 0 -1,200
2039............................................................ -1,300 0 -1,300
2040............................................................ -1,400 0 -1,400
2041............................................................ -1,500 0 -1,500
[[Page 26038]]
2042............................................................ -1,600 0 -1,600
2043............................................................ -1,700 0 -1,700
2044............................................................ -1,700 0 -1,700
2045............................................................ -1,800 0 -1,800
2046............................................................ -1,900 0 -1,900
2047............................................................ -1,900 0 -1,900
2048............................................................ -2,000 0 -2,000
2049............................................................ -2,000 0 -2,000
2050............................................................ -2,100 0 -2,100
2051............................................................ -2,100 0 -2,100
2052............................................................ -2,200 0 -2,200
2053............................................................ -2,200 0 -2,200
2054............................................................ -2,300 0 -2,300
2055............................................................ -2,300 0 -2,300
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
Annual maintenance and repair costs were computed on an annual
basis for all vehicles modeled in MOVES based on the total annual VMT,
vehicle type and vehicle age as discussed in Section 5 and DRIA Chapter
2 and 3. Table IV-18 presents the maintenance and repair costs
associated with the proposal. The maintenance and repair costs are
attributable to changes in new BEV, FCEV, and ICE vehicle sales and
populations. EPA has not projected any changes to the maintenance and
repair costs on a per mile basis for each vehicle powertrain type
between the proposal and reference case, but as more HD ZEVs enter the
HD fleet, the total maintenance and repair costs for the fleet of those
vehicles correspondingly increases. The opposite is true for diesel,
gasoline, and CNG vehicles as there become fewer of these vehicles in
the fleet such that the total maintenance and repair costs for the
fleet of those vehicles decreases as more HD ZEVs enter the HD fleet.
Table IV-18--Annual Undiscounted Maintenance & Repair Costs for the Proposal Relative to the Reference Case, Millions of 2021 Dollars \a\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Calendar year Diesel Gasoline CNG Electricity Hydrogen Sum
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027.................................................... -$370 -$150 -$3 $380 $0 -$150
2028.................................................... -940 -400 -7 950 0 -390
2029.................................................... -1,700 -740 -12 1,800 0 -720
2030.................................................... -2,900 -1,200 -22 2,800 140 -1,200
2031.................................................... -4,700 -1,800 -36 4,100 530 -1,900
2032.................................................... -7,000 -2,600 -56 5,700 1,100 -2,700
2033.................................................... -9,600 -3,400 -78 7,500 1,900 -3,700
2034.................................................... -12,000 -4,400 -100 9,500 2,700 -4,800
2035.................................................... -15,000 -5,500 -130 11,000 3,700 -5,900
2036.................................................... -19,000 -6,700 -160 14,000 4,800 -7,100
2037.................................................... -22,000 -7,900 -190 16,000 5,800 -8,400
2038.................................................... -25,000 -9,100 -220 18,000 6,900 -9,600
2039.................................................... -28,000 -10,000 -260 20,000 8,100 -11,000
2040.................................................... -31,000 -12,000 -300 22,000 9,200 -12,000
2041.................................................... -34,000 -13,000 -330 24,000 10,000 -13,000
2042.................................................... -37,000 -14,000 -380 26,000 11,000 -14,000
2043.................................................... -39,000 -15,000 -420 27,000 12,000 -15,000
2044.................................................... -41,000 -17,000 -460 29,000 13,000 -16,000
2045.................................................... -43,000 -18,000 -510 31,000 14,000 -17,000
2046.................................................... -45,000 -19,000 -560 32,000 15,000 -18,000
2047.................................................... -47,000 -20,000 -620 34,000 15,000 -19,000
2048.................................................... -48,000 -21,000 -670 35,000 16,000 -19,000
2049.................................................... -49,000 -22,000 -740 36,000 16,000 -20,000
2050.................................................... -51,000 -24,000 -800 38,000 17,000 -21,000
2051.................................................... -52,000 -25,000 -880 39,000 17,000 -22,000
2052.................................................... -53,000 -26,000 -960 40,000 17,000 -22,000
2053.................................................... -54,000 -27,000 -1,000 42,000 18,000 -23,000
2054.................................................... -55,000 -28,000 -1,100 43,000 18,000 -24,000
2055.................................................... -56,000 -30,000 -1,200 44,000 19,000 -24,000
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
[[Page 26039]]
4. Total Social Costs
Adding together the cost elements outlined in Sections IV.E.1,
IV.E.2, and IV.E.30, we estimated the total social costs associated
with the proposed CO2 standards; these total social costs
associated with the proposal relative to the reference case are shown
in Table IV-19. Table IV-19 presents costs in 2021 dollars in
undiscounted annual values along with net present values at both 3- and
7-percent discount rates with values discounted to the 2027 calendar
year. Additionally, neither the battery tax credit nor the vehicle tax
credit is included in the social costs analysis discussed in this
subsection.
As shown in Table IV-19, starting in 2033, our analysis
demonstrates that total program costs under the proposal scenario are
lower than the total program costs under the reference case without the
standard.
Table IV-19--Total Technology Package, Operating Cost, and EVSE Cost Impacts of the Proposed Option Relative to
the Reference Case, All Regulatory Classes and All Fuels, Millions of 2021 Dollars \a\
----------------------------------------------------------------------------------------------------------------
Total Total
Calendar year technology operating Total EVSE Sum
package costs costs costs
----------------------------------------------------------------------------------------------------------------
2027............................................ $2,000 -$330 $1,300 $3,000
2028............................................ 1,800 -790 1,600 2,500
2029............................................ 1,700 -1,400 1,900 2,200
2030............................................ 2,000 -2,100 2,000 1,900
2031............................................ 2,300 -2,800 2,200 1,700
2032............................................ 2,000 -3,800 2,600 860
2033............................................ 1,500 -4,900 2,600 -820
2034............................................ 1,300 -6,100 2,600 -2,200
2035............................................ 1,000 -7,400 2,500 -3,800
2036............................................ 750 -8,700 2,500 -5,500
2037............................................ 620 -10,000 2,500 -7,000
2038............................................ 410 -12,000 2,500 -8,700
2039............................................ 220 -13,000 2,600 -10,000
2040............................................ 140 -14,000 2,600 -12,000
2041............................................ -40 -16,000 2,600 -13,000
2042............................................ -200 -17,000 2,600 -15,000
2043............................................ -360 -18,000 2,700 -16,000
2044............................................ -410 -20,000 2,700 -18,000
2045............................................ -550 -21,000 2,700 -19,000
2046............................................ -690 -22,000 2,700 -20,000
2047............................................ -820 -23,000 2,700 -22,000
2048............................................ -850 -24,000 2,700 -22,000
2049............................................ -970 -25,000 2,800 -23,000
2050............................................ -1,100 -26,000 2,800 -24,000
2051............................................ -1,100 -27,000 2,800 -25,000
2052............................................ -1,200 -28,000 2,900 -26,000
2053............................................ -1,300 -29,000 2,900 -27,000
2054............................................ -1,400 -30,000 2,900 -28,000
2055............................................ -1,500 -31,000 2,900 -29,000
PV, 3%.......................................... 9,000 -250,000 47,000 -190,000
PV, 7%.......................................... 10,000 -120,000 29,000 -85,000
Annualized, 3%.................................. 470 -13,000 2,500 -10,000
Annualized, 7%.................................. 820 -10,000 2,300 -6,900
----------------------------------------------------------------------------------------------------------------
\a\ Values rounded to two significant digits; negative values denote lower costs, i.e., savings in expenditures.
V. Estimated Emission Impacts From the Proposed Program
We expect the proposed CO2 standards would result in
downstream emission reductions of GHGs from heavy-duty vehicles.
Downstream emissions processes are those that come directly from a
vehicle, such as tailpipe exhaust, crankcase exhaust, evaporative
emissions, and refueling emissions. While we are not proposing
standards to address criteria pollutants or air toxics, we expect the
proposed standards would also result in reductions of downstream
emissions of both criteria pollutants and air toxics. We expect these
anticipated emission reductions would be achieved through increased
adoption of heavy-duty battery electric vehicles (BEVs) and fuel cell
electric vehicles (FCEVs) and by additional improvements to ICE
vehicles. The emissions modeling that we present in this section
characterizes the emissions impacts of the technology package described
in Section II of the preamble. As we note there, manufacturers may
elect to comply using a different combination of HD vehicle and engine
technologies than we modeled.
To estimate the downstream emission reductions from the proposed
standards, we used an updated version of EPA's Motor Vehicle Emission
Simulator (MOVES) model, MOVES3.R3. This version already included the
impacts of the HD GHG Phase 2 program, and also includes several
changes related specifically to heavy-duty vehicle emissions (e.g.,
updates to incorporate the HD2027 final rule) and activity (e.g.,
updates to vehicle population and miles traveled) as well as new
capabilities to model heavy-duty vehicles with electric
powertrains.\651\ These model updates are summarized in Chapter 4.2 of
the DRIA and described in detail in the technical reports that are
available in the docket for this proposed rulemaking.
---------------------------------------------------------------------------
\651\ Memo to Docket. ``EPA's Motor Vehicle Emission Simulator
(MOVES) model, MOVES3.R3.'' Docket EPA-HQ-OAR-2022-0985.
---------------------------------------------------------------------------
With the increased adoption of heavy-duty BEVs and FCEVs (together
referred to as ZEVs), we expect the proposed standards to impact
upstream emissions of GHGs and other pollutants. Upstream emissions
sources are those that occur
[[Page 26040]]
before tailpipe emissions from vehicles, such as from electricity
generation for charging BEVs, the production of hydrogen used to fuel
FCEVs, and emissions generated during petroleum-based fuel production
and distribution. We estimated the impacts of the proposed standards on
emissions from electricity generation units (EGUs). We also estimated
the impacts on refinery emissions of non-GHGs for calendar year
2055.\652\ We did not estimate the impacts on emissions related to
crude production or extraction or the transportation of crude or
refined fuels.
---------------------------------------------------------------------------
\652\ As discussed in Chapter 4.3.3.3 of the DRIA, our
methodology for estimating refinery emissions is limited to one
analysis year (2055) and only certain non-GHG pollutants
(NOX, PM2.5, VOC, and SO2).
---------------------------------------------------------------------------
To estimate upstream EGU emission impacts from the proposed
standards, we used the Integrated Planning Model (IPM). IPM is a linear
programming model that accounts for variables and information such as
energy demand, planned EGU retirements, and planned rules to forecast
EGU-level energy production and configurations. The IPM runs we
performed to estimate EGU emissions were based on preliminary reference
and control scenarios, and the IPM run for the control scenario did not
account for the IRA. Therefore, we developed a methodology, using
output of three IPM runs, to estimate the increase in EGU emissions
from the proposal and alternative, adjusted for the IRA. The first
represents the EGU inventory absent both the proposal and the Inflation
Reduction Act (IRA),\653\ the second represents the inventory absent
the proposal but includes the IRA,\654\ and the third includes impacts
from a preliminary version of the proposal we developed earlier in the
regulatory development process but not the IRA. Together, they help us
estimate the impact of the proposed standards on EGU emissions,
accounting for the IRA. More details on IPM and the specific version
used in this proposal can be found in the Chapter 4.3.3 of the DRIA.
---------------------------------------------------------------------------
\653\ All inputs, outputs, and full documentation of EPA's IPM
v6 Summer 2022 Reference Case and the associated NEEDS version is
available on the power sector modeling website (https://www.epa.gov/power-sector-modeling/documentation-pre-ira-2022-reference-case).
\654\ We expect IRA incentives, particularly sections 45X, 45Y,
and 48E of the Internal Revenue Code (i.e., Title 26) added by
sections 13502 (Advanced Manufacturing Production Credit), 13701
(Clean Electricity Production Credit), and 13702 (Clean Electricity
Investment Credit), respectively, to contribute significantly to
increases in renewables in the future power generation mix.
---------------------------------------------------------------------------
To estimate upstream refinery impacts from the proposed standards,
we adjusted an existing refinery inventory that included
PM2.5, NOX, SO2 and VOC emissions for
the year 2055. The adjustment factors are based on liquid fuel demand
projections for the reference, proposal, and alternative cases. In this
analysis, we assumed refinery activity decreases with decreased demand
for liquid fuel from heavy-duty vehicles. More details on the refinery
impacts estimated for this proposal can be found in Chapters 4.3.3 and
4.6 of the DRIA.
A. Model Inputs
1. MOVES Inputs
In the analysis to support this proposal, we evaluated the proposed
standards relative to a reference case using MOVES. MOVES defines
vehicles using a combination of source type and regulatory class, where
source type roughly defines a vehicle's vocation or usage pattern, and
regulatory class defines a vehicle's weight class. Table V-1 defines
MOVES medium- and heavy-duty source types.
Table V-1--MOVES Source Type Definitions
------------------------------------------------------------------------
sourceTypeID Source type description
------------------------------------------------------------------------
31........................................ Passenger Truck.
32........................................ Light Commercial Truck.
41........................................ Other Bus.
42........................................ Transit Bus.
43........................................ School Bus.
51........................................ Refuse Truck.
52........................................ Single Unit Short-haul
Truck.
53........................................ Single Unit Long-haul Truck.
54........................................ Motor Home.
61........................................ Combination Short-haul
Truck.
62........................................ Combination Long-haul Truck.
------------------------------------------------------------------------
In modeling the heavy-duty ZEV populations in the reference case, a
scenario that represents the United States without the proposed
rulemaking, we considered several different factors related to
purchaser acceptance of new technologies as discussed in DRIA Chapter
2, along with three factors described in Section I.C. First, the market
has evolved such that early HD ZEV models are in use today for some
applications and HD ZEVs are expected to expand to many more
applications, as discussed in Section II.D and DRIA Chapters 1.5 and 2.
Additionally, manufacturers have announced plans to rapidly increase
their investments in ZEV technologies over the next decade. Second, the
IRA and the BIL provide many monetary incentives for the production and
purchase of ZEVs in the heavy-duty market, as well as incentives for
electric vehicle charging infrastructure. Third, there have been
multiple actions by states to accelerate the adoption of heavy-duty
ZEVs, such as (1) a multi-state Memorandum of Understanding for the
support of heavy-duty ZEV adoption; \655\ and (2) the State of
California's ACT program, which has also been adopted by other states
and includes a manufacturer requirement for zero-emission truck
sales.656 657
---------------------------------------------------------------------------
\655\ NESCAUM MOU, available at https://www.nescaum.org/documents/mhdv-zev-mou-20220329.pdf.
\656\ EPA granted the ACT rule waiver requested by California
under CAA section 209(b) on March 30, 2023. When we developed the
reference case, the ACT had been adopted by five states under CAA
section 177: Oregon, Washington, New York, New Jersey, and
Massachusetts. Oregon and Washington adopted ACT as-is, whereas New
York, New Jersey, and Massachusetts adopted ACT on a one-year delay.
\657\ In December 2022, Vermont also adopted ACT under CAA
section 177 effective beginning with MY 2026. Due to the timing of
Vermont's adoption of ACT relative to the timing of the analysis
conducted for this proposal, Vermont's adoption of ACT is not
included in the analysis for our proposal; however, Vermont's
adoption of ACT provides additional support for the ZEV levels in
our reference case. See https://dec.vermont.gov/sites/dec/files/aqc/laws-regs/documents/Chapter_40_LEV_ZEV_rule_adoped.pdf.
---------------------------------------------------------------------------
We also reviewed the literature to evaluate future HD ZEV
projections from others. We found that the literature had varied
projections for HD ZEV adoption absent this proposed rulemaking. For
instance, the International Council for Clean Transportation (ICCT)
conducted an analysis in early 2022, before IRA, and projected a
variety of scenarios. They specifically projected eight percent HD ZEV
sales in 2030 when only considering current policies and 11 percent in
2030 when considering the multi-state MOUs.\658\ The National Renewable
Energy Laboratory (NREL) conducted an analysis in early 2022, also
prior to the IRA, that projected 42 percent HD ZEV sales by 2030 and 98
percent sales by 2040, along with 100 percent of bus sales being ZEVs
by 2030.\659\ The NREL analysis assumed economics alone drive adoption
(i.e., total cost of ownership), and therefore they did not consider
non-financial factors such ZEV product research and development
timelines, ZEV manufacturing time lines, the availability of ZEV
models, manufacturing or infrastructure constraints, driver
preferences, and
[[Page 26041]]
other factors. ACT Research also conducted an analysis prior to IRA and
projected HD ZEV sales of 24 pecent in 2024, 26 percent in 2030, and 34
percent in 2031.\660\ EDF and ERM conducted a follow-up analysis of
their HD ZEV sales projections after the IRA passed in 2022.\661\ They
project several scenarios which range between 11 and 42 percent HD ZEV
sales in 2029 when including long-haul tractors. The EDF/ERM analysis
found that IRA will help accelerate ZEV adoption due to the purchasing
incentives, which drives HD ZEVs to reach cost parity at least five
years sooner than without the IRA incentives. The ACT Research, ICCT,
and EDF/ERM projections, similar to the 2022 NREL study, also did not
consider several important real-world factors which would in general be
expected to slow down or reduce ZEV sales.
---------------------------------------------------------------------------
\658\ Buysee, Claire, et al. ``Racing to Zero: The Ambition We
Need for Zero-Emission Heavy-Duty Vehicles in the United States.''
April 2022. Available online: https://theicct.org/racing-to-zero-hdv-us-apr22/ ICCT.
\659\ Ledna, Catherine, et al. ``Decarbonizing Medium- & Heavy-
Duty On-Road Vehicles: Zero-Emission Vehicles Cost Analysis.'' March
2022. Slide 25. Available online: https://www.nrel.gov/docs/fy22osti/82081.pdf.
\660\ Lockridge, Deborah. ``ACT: Third of Class 4-8 Vehicles to
be Battery-Electric in 10 Years.'' June 2021. Available online:
https://www.truckinginfo.com/10144947/act-third-of-class-4-8-vehicles-to-be-battery-electric-in-10-years.
\661\ Robo, Ellen and Dave Seamonds. Technical Memo to
Environmental Defense Fund: Investment Reduction Act Supplemental
Assessment: Analysis of Alternative Medium- and Heavy-Duty Zero-
Emission Vehicle Business-As-Usual Scenarios. ERM. August 19, 2022.
Page 9. Available online: https://www.erm.com/contentassets/154d08e0d0674752925cd82c66b3e2b1/edf-zev-baseline-technical-memo-addendum.pdf.
---------------------------------------------------------------------------
To estimate the adoption of HD ZEVs in the reference case for this
proposal, we analyzed a national level of ZEV sales based on volumes
expected from the ACT rule in California and other states that have
adopted ACT.662 663 We used those volumes as the numeric
basis for the number of ZEVs in the MY 2024 and later timeframe. EPA
granted the ACT rule waiver requested by California under CAA section
209(b) on March 30, 2023, and we expect the market, at a national
level, had already been responding to the ACT requirements, in addition
to the market forces discussed earlier. It is, therefore, reasonable to
use the ZEV sales volume that could be expected from ACT in the
reference case as an overall projection for where the national ZEV
sales volumes may be in the absence of this EPA action. Table V-2 shows
the national adoption of heavy-duty ZEVs we modeled in the reference
case. Additional details regarding the modeling of the reference case
can be found in Chapter 4.3 of the DRIA.
---------------------------------------------------------------------------
\662\ California Air Resources Board, Final Regulation Order--
Advanced Clean Trucks Regulation. Filed March 15, 2021. Available
at: https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2019/act2019/fro2.pdf. Final Advanced Clean Truck Amendments, Oregon
adopted ACT on 11/17/2021: https://www.oregon.gov/deq/rulemaking/Pages/ctr2021.aspx. Washington adopted ACT on 11/29/2021: https://ecology.wa.gov/Regulations-Permits/Laws-rules-rulemaking/Rulemaking/WAC-173-423-400. New York adopted ACT on 12/29/2021: https://www.dec.ny.gov/regulations/26402.html. New Jersey adopted ACT on 12/
20/2021: https://www.nj.gov/dep/rules/adoptions.html. Massachusetts
adopted ACT on 12/30/2021: https://www.mass.gov/regulations/310-CMR-700-air-pollution-control#proposed-amendments-public-comment.
\663\ In December 2022, Vermont also adopted ACT under CAA
section 177 effective beginning with MY 2026. Due to the timing of
Vermont's adoption of ACT relative to the timing of the analysis
conducted for this proposal, Vermont's adoption of ACT is not
included in the analysis for our proposal; however, Vermont's
adoption of ACT provides additional support for the ZEV levels in
our reference case. See https://dec.vermont.gov/sites/dec/files/aqc/laws-regs/documents/Chapter_40_LEV_ZEV_rule_adopted.pdf.
Table V-2--National Heavy-Duty ZEV Adoption in the Reference Case
------------------------------------------------------------------------
Class 4-8
vocational Class 7-8
vehicle group tractors group
Model year \a\ source source types
types 41-54 61, 62
(percent) (percent)
------------------------------------------------------------------------
2024.................................... 1.1 0.3
2025.................................... 2.0 0.7
2026.................................... 2.4 1.0
2027.................................... 3.4 1.4
2028.................................... 5.1 1.9
2029.................................... 7.1 2.5
2030.................................... 9.1 3.0
2031.................................... 10.5 3.5
2032.................................... 11.4 4.1
2033.................................... 12.4 4.3
2034.................................... 13.4 4.3
2035.................................... 14.4 4.3
2036 and beyond......................... 14.8 4.3
------------------------------------------------------------------------
\a\ The ACT program includes ZEV adoption rates for a Class 2b-3
Vocational Vehicle Group, which we also included in our reference case
modeling. However, we did not model the proposal as increasing ZEV
adoption in this vehicle category so they are not presented here.
Class 2b-3 Vocational Vehicle Group ZEV adoption rates can be found in
Appendix 4A of the DRIA.
We note that our reference case projection of ZEV adoption in this
proposal is conservative when compared to the studies from NREL, ICCT,
ACT Research, and EDF/ERM. Therefore, we may be projecting emission
reductions due to the proposed standards that are greater than could be
expected using a reference case that reflects higher levels of ZEV
adoption in the HD market absent our rule. At the same time, our use of
this reference case would also be conservative in terms of costs of
compliance, which would be overestimated if the market would acheive
higher levels of ZEV adoption in the absence of our proposed standards.
We may revisit our reference case in the final rule analysis. For
example, given that EPA granted the California Air Resources Board's
request for a waiver for the ACT Regulation on March 30, 2023, which
was not in a time frame for EPA to consider for this proposal an
alternative approach for the reference case, we may make revisions for
the final rule to explicitly reflect the waiver decision. In addition,
while the approach we have used to quantify the national ZEV volumes in
the reference case considers the impacts of the IRA and the BIL, it
does not explicitly model them. Therefore, we invite stakeholders to
comment and provide additional information on our approach to modeling
the reference case. Commenters may also provide input on other data or
modeling approaches that EPA should consider when estimating the
reference case in the final rulemaking, including but not limited to
the reports summarized in this section. We invite stakeholders to
comment and provide additional information on our approach to modeling
the reference case. Commenters may also provide input on other data or
modeling approaches that EPA should consider when estimating the
reference case in the final rulemaking, including but not limited to
the reports summarized in this section.
For the purposes of the modeling analysis, we assume the proposed
CO2 emission standards would be met by technology packages
that reflect both ICE vehicles and an increased level of ZEV adoption.
The technology packages we are using for the ICE vehicles are built
into the MOVES versions we are using for the analysis. Future HD ZEV
populations in MOVES for the proposal and alternative scenarios were
estimated using HD TRUCS based on the technology assessment for BEVs
and FCEVs discussed in DRIA Chapter 2. Table V-3 shows the ZEV adoption
rates by vehicle type used in modeling the control case for the
proposal in MOVES. ZEV adoption rates for the alternative are discussed
in Section IX. Further discussion of the ZEV adoption rates we modeled
can be found in DRIA Chapter 4.3.
[[Page 26042]]
Table V-3--HD ZEV Adoption Rates in the Control Case Used To Model the Proposed Standards
----------------------------------------------------------------------------------------------------------------
Vocational Short-haul Long-haul
source types tractors tractors a
Model year 41-54 source type 61 source Type 62
(percent) (percent) (percent)
----------------------------------------------------------------------------------------------------------------
MY 2027......................................................... 20 10 0.3
MY 2028......................................................... 25 12 0.7
MY 2029......................................................... 30 15 1.0
MY 2030......................................................... 35 20 10
MY 2031......................................................... 40 30 20
MY 2032 and later............................................... 50 35 25
----------------------------------------------------------------------------------------------------------------
\a\ For sleeper cab tractors, which are represented by long-haul tractors (source type 62) in MOVES, we are not
proposing revisions to MY 2027 standards or new standards for MYs 2028 or 2029. ZEV adoption for this source
type in these model years was set to be equal to the reference case.
2. IPM Inputs
We used IPM to estimate the EGU emissions associated with the
additional energy demand from increased HD ZEV adoption. We do not have
IPM output from runs directly corresponding to the reference case and
proposal, so we approximated the EGU emission impacts of the proposal
based on IPM runs that did not specifically model that scenario. The
details of this methodology, including its simplifying assumptions and
limitations, can be found in Chapter 4.3.3 of the draft RIA.
To account for the upstream emissions from the production of
hydrogen used to fuel FCEVs, we made a simplifying assumption that all
hydrogen used for FCEVs is produced via grid electrolysis of water and
can therefore be entirely represented as additional demand to EGUs and
modeled using IPM.\664\ We developed a scaling factor to account for
the amount of hydrogen that would need to be produced to meet the FCEV
energy demand calculated by MOVES. More details on the derivation of
the scaling factors can be found in Chapter 4.3 of the draft RIA. We
invite stakeholders to comment and provide additional information on
our approach to modeling the emissions impact of hydrogen production.
Commenters may also provide input on other data or modeling approaches
that EPA should consider when estimating emissions from hydrogen
production in the final rulemaking.
---------------------------------------------------------------------------
\664\ Hydrogen in the U.S. today is primarily produced via steam
methane reforming (SMR) largely as part of petroleum refining and
ammonia production. Given the BIL and the IRA provisions that
meaningfully incentivize reducing the emissions and carbon intensity
of hydrogen production, as well as new transportation and other
demand drivers and potential future regulation, it is anticipated
there will be a shift in how hydrogen is produced. Considering this
and because electrolysis is a key mature technology for hydrogen
production, our analysis includes the simplifying assumption that
increased levels of hydrogen to fuel FCEVs will be produced using
grid electrolysis. We recognize that the relative emissions impact
of hydrogen production via SMR versus grid electrolysis depends on
how electricity is produced, which varies significantly by region
across the country. We also recognize that electrolysis powered by
electricity from the grid on average in the U.S. may overestimate
the upstream emissions impacts that are attributable to HD FCEVs in
our analysis. See DRIA Chapter 4.3.3 for additional discussion.
---------------------------------------------------------------------------
B. Estimated Emission Impacts From the Proposed Standards
This NPRM includes proposed CO2 emission standards for
MYs 2027 through 2032. Because we anticipate an increase in the use of
heavy-duty ZEVs to meet the proposed emission standards, and ZEVs do
not produce any tailpipe emissions, we expect downstream GHG emissions
reductions as well as reductions in emissions of criteria pollutants
and air toxics. As described in Section V.A, we modeled the proposed
standards in MOVES3.R3 by increasing the adoption of heavy-duty BEVs
and FCEVs relative to the reference case, which means the primary
driving factor behind the projected emission reductions is the
displacement of ICE vehicles with ZEVs. The downstream emissions are
presented in Section V.B.1.
We also expect the increased adoption of HD ZEVs to increase
emissions from EGUs and decrease emissions from refineries. Section
V.B.2 presents these upstream emissions impacts, Section V.B.3 presents
the net emission impacts of the proposed standards, and the downstream
and upstream impacts of the alternative are discussed in Section IX.
Because all our modeling is done for a full national domain, all
emissions impacts cover the full national inventory. Emissions impacts
in other domains, such as particular regions or localities in the
United States, are likely to differ from the impacts presented here.
1. Estimated Impacts on Downstream Emissions
Our estimates of the downstream emission reductions of GHGs that
would result from the proposed standards, relative to the reference
case emission inventory without the proposed standards, are presented
in Table V-4 for calendar years 2035, 2045, and 2055. Total GHG
emissions, or CO2 equivalent (CO2e), are
calculated by summing all GHG emissions multiplied by their 100-year
Global Warming Potentials (GWP).\665\
---------------------------------------------------------------------------
\665\ The GWP values used by MOVES are values used in the 2007
IPCC Fourth Assessment Report (AR4). The Intergovernmental Panel on
Climate Change, Climate Change 2007: Impacts, Adaptation and
Vulnerability. https://www.ipcc.ch/site/assets/uploads/2018/03/ar4_wg2_full_report.pdf.
Table V-4--Annual Downstream Heavy-Duty GHG Emission Reductions From the Proposed Standards in Calendar Years (CY) 2035, 2045, and 2055
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 reductions CY 2045 reductions CY 2055 reductions
-----------------------------------------------------------------------------------------------
Pollutant 100-year GWP Million metric Million metric Million metric
tons Percent tons Percent tons Percent
--------------------------------------------------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2).................... 1 51 13 102 26 125 30
[[Page 26043]]
Methane (CH4)........................... 25 0.004 8 0.015 24 0.032 31
Nitrous Oxide (N2O)..................... 298 0.007 12 0.013 24 0.015 28
CO2 Equivalent (CO2e)................... .............. 53 13 106 26 130 30
--------------------------------------------------------------------------------------------------------------------------------------------------------
In 2055, we estimate that the proposal would reduce downstream
emissions of CO2 by 30 percent, methane by 31 percent, and
nitrous oxide by 28 percent, resulting in a reduction of 30 percent for
total CO2 equivalent emissions. Table V-4 also shows that
most of the GHG emission reductions would be from CO2, which
would represent approximately 96 percent of all heavy-duty GHG emission
reductions from the proposed standards.
The warming impacts of GHGs are cumulative. Table V-5 presents the
cumulative GHG reductions that would result from the proposed standards
in 2055, in billion metric tons (BMT).
Table V-5--Cumulative 2027-2055 Downstream Heavy-Duty GHG Emission
Reductions From the Proposed Standards
------------------------------------------------------------------------
Reduction in Percent
Pollutant BMT reduction
------------------------------------------------------------------------
Carbon Dioxide (CO2).................... 2.2 18
Methane (CH4)........................... 0.00035 17
Nitrous Oxide (N2O)..................... 0.00028 17
CO2 Equivalent (CO2e)................... 2.3 18
------------------------------------------------------------------------
Cumulative emission reductions increase over time from 2027 through
2055, as more HD ZEVs meeting the proposed standards enter the fleet.
This is discussed in more detail in Chapter 4.4.3 of the draft RIA.
We expect the proposed CO2 emission standards will lead
to an increase in HD ZEVs, which will result in reductions of non-GHG
pollutants. Table V-6 presents our estimates of the downstream emission
reductions of criteria pollutants and air toxics from heavy-duty
vehicles that would result from the proposed standards in calendar
years 2035, 2045, and 2055.
Table V-6--Annual Downstream Heavy-Duty Emission Reductions From the Proposed Standards in Calendar Years (CY) 2035, 2045, and 2055 for Criteria
Pollutants and Air Toxics
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 reductions CY 2045 reductions CY 2055 reductions
Pollutant -----------------------------------------------------------------------------------------------
U.S. Tons Percent U.S. Tons Percent U.S. Tons Percent
--------------------------------------------------------------------------------------------------------------------------------------------------------
Nitrogen Oxides (NOX)................................... 16,232 4 56,191 21 70,838 28
Primary Exhaust PM2.5................................... 271 6 690 30 967 39
Volatile Organic Compounds (VOC)........................ 6,016 11 14,219 28 20,775 37
Sulfur Dioxide (SO2).................................... 204 13 414 27 518 31
Carbon Monoxide (CO).................................... 98,889 11 244,649 28 349,704 35
1,3-Butadiene........................................... 19 22 48 46 68 51
Acetaldehyde............................................ 123 11 298 30 454 35
Benzene................................................. 109 17 281 41 410 49
Formaldehyde............................................ 83 8 217 27 361 33
Naphthalenea............................................ 6 10 16 38 21 45
Ethylbenzene............................................ 70 11 175 30 266 41
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Naphthalene includes both gas and particle phase emissions.
In 2055, we estimate the proposal would reduce heavy-duty vehicle
emissions of NOX by 28 percent, PM2.5 by 39
percent, VOC by 37 percent, and SO2 by 31 percent.
Reductions in air toxics range from 33 percent for formaldehyde to 51
percent for 1,3-butadiene.
Chapter 4.4 of the draft RIA contains more details on downstream
emission reductions by vehicle type, fuel type, and emission process,
as well as year-over-year impacts from 2027 through 2055.
2. Estimated Impacts on Upstream Emissions
Our estimates of the additional CO2 emissions from EGUs
due to the proposed standards, relative to the reference case, are
presented in Table V-7 for calendar years 2035, 2045, and 2055, in
million metric tons (MMT).
[[Page 26044]]
Table V-7--Annual CO2 Emission Increases From EGUs From the Proposed Standards in Calendar Years (CY) 2035,
2045, and 2055
----------------------------------------------------------------------------------------------------------------
Additional EGU emissions (mmt)
Pollutant --------------------------------------------------
CY 2035 CY 2045 CY 2055
----------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2)......................................... 20 16 11
----------------------------------------------------------------------------------------------------------------
In 2055, we estimate the proposal would increase EGU emissions of
CO2 by 11 million metric tons, compared to 20 million metric
tons in 2035. The EGU impacts decrease over time because of changes in
the projected power generation mix as electricity generation uses less
fossil fuels. This is discussed in more detail in Chapter 4.5 of the
DRIA. In total, we estimate the proposal will lead, cumulatively, to
0.4 BMT of additional CO2 emissions from EGUs from 2027 to
2055.
Table V-8 shows the estimated impact of the proposed standards on
EGU emissions for some criteria pollutants.
Table V-8--Annual Criteria Pollutant Emission Increases From EGUs From the Proposed Standards in Calendar Years
(CYs) 2035, 2045, and 2055
----------------------------------------------------------------------------------------------------------------
Additional EGU emissions (U.S. tons)
Pollutant -----------------------------------------------
CY 2035 CY 2045 CY 2055
----------------------------------------------------------------------------------------------------------------
Nitrogen Oxides (NOX)........................................... 2,821 2,226 787
Primary PM2.5................................................... 1,216 1,043 751
Volatile Organic Compounds (VOC)................................ 629 772 754
Sulfur Dioxide (SO2)............................................ 9,937 2,552 912
----------------------------------------------------------------------------------------------------------------
Chapter 4.5 of the DRIA contains more detail and discussion of the
impacts of the proposed CO2 emission standards on EGU
emissions, including year-over-year impacts from 2027 through 2055.
In addition to EGU emissions impacts, we also estimated impacts on
select criteria pollutant emissions from refineries for calendar year
2055. This analysis assumes that the reduction in demand for liquid
fuels would lead to reduced activity and emissions at refineries. The
results are presented in Table V-9. Additional detail on the refinery
analysis is available in Chapters 4.3.3 and 4.5 of the DRIA.
Table V-9--Criteria Pollutant Emission Reductions From Refineries From
the Proposed Standards in 2055
------------------------------------------------------------------------
CY 2055
refinery
Pollutant emission
reductions
(U.S. tons)
------------------------------------------------------------------------
NOX..................................................... 1,785
PM2.5................................................... 436
VOC..................................................... 1,227
SO2..................................................... 642
------------------------------------------------------------------------
3. Estimated Impacts on Combined Downstream and Upstream Emissions
While we present a net emissions impact of the proposed
CO2 emission standards, it is important to note that some
upstream emission sources are not included in the analysis. Although we
expect the proposed CO2 standards to reduce demand for
refined fuels, we did not quantify emissions changes associated with
producing or extracting crude or transporting crude or refined fuels.
Also, because our analysis of refinery emissions only included select
criteria pollutants, refinery emission impacts are not included in GHG
emission impacts. Therefore, this analysis likely underestimates the
net emissions reductions that may result from the proposal. As
discussed in Section II.G, EPA considered these net impacts as
supportive of the proposed standards.
Table V-10 shows a summary of our modeled downstream, upstream, and
net CO2 emission impacts of the proposed standards relative
to the reference case (i.e., the emissions inventory without the
proposed standards), in million metric tons, for calendar years 2035,
2045, and 2055.
Table V-10--Annual Net Impacts \a\ on CO2 Emissions From the Proposed CO2 Emission Standards in Calendar Years (CYs) 2035, 2045, and 2055
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 impacts (MMT) CY 2045 impacts (MMT) CY 2055 impacts (MMT)
Pollutant --------------------------------------------------------------------------------------------------------
Downstream EGU Net Downstream EGU Net Downstream EGU Net
--------------------------------------------------------------------------------------------------------------------------------------------------------
CO2............................................ -51 20 -31 -102 16 -86 -125 11 -114
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
In 2055, we estimate the proposal would result in a net decrease of
114 million metric tons in CO2 emissions. The net decreases
become larger between 2035 and 2055 as the HD fleet turns over and the
power grid uses less fossil fuels.
The warming impacts of GHGs are cumulative. In Table V-11, we
present the cumulative net CO2 emissions impact that we
expect would result from
[[Page 26045]]
the proposed standards, accounting for downstream emission reductions
and EGU emission increases. Overall, we estimate the proposal would
result in a net reduction of 1.8 billion metric tons of CO2
emissions from 2027 to 2055.
Table V-11--Cumulative 2027-2055 Net CO2 Emission Impacts \a\ (in BMT) Reflecting the Proposed CO2 Emission
Standards
----------------------------------------------------------------------------------------------------------------
Pollutant Downstream EGU Net
----------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2)......................................... -2.2 0.4 -1.8
----------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
Table V-12 contains a summary of the modeled net impacts of the
proposed CO2 emission standards on criteria pollutant
emissions considering downstream and EGUs, relative to the reference
case (i.e., without the proposed standards), for calendar years 2035
and 2045. Table V-13 contains a similar summary for calendar year 2055
that includes estimates of net impacts of refinery, EGU, and downstream
emissions.
Table V-12--Annual Net Impacts \a\ on Criteria Pollutant Emissions From the Proposed CO2 Emission Standards in Calendar Years (CYs) 2035 and 2045
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 impacts (U.S. tons) CY 2045 impacts (U.S. tons)
Pollutant -----------------------------------------------------------------------------------------------
Downstream EGU Net Downstream EGU Net
--------------------------------------------------------------------------------------------------------------------------------------------------------
NOX..................................................... -16,232 2,821 -13,411 -56,191 2,226 -53,966
PM2.5................................................... -271 1,216 945 -690 1,043 352
VOC..................................................... -6,016 629 -5,387 -14,219 772 -13,447
SO2..................................................... -204 9,937 9,732 -414 2,552 2,138
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
Table V-13--Net Impacts \a\ on Criteria Pollutant Emissions From the Proposed CO2 Emission Standards in CY 2055
----------------------------------------------------------------------------------------------------------------
CY 2055 impacts (U.S. tons)
Pollutant ---------------------------------------------------------------
Downstream EGU Refinery Net
----------------------------------------------------------------------------------------------------------------
NOX............................................. -70,838 787 -1,785 -71,836
PM2.5........................................... -967 751 -436 -652
VOC............................................. -20,775 754 -1,227 -21,248
SO2............................................. -518 912 -642 -248
----------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
By 2055, when considering downstream, EGU, and refinery emissions,
we estimate a net decrease in emissions from all pollutants that we
modeled for all emissions sources (i.e., NOX,
PM2.5, VOC, and SO2). In earlier years, when
considering only downstream and EGU emissions, we estimate net
decreases of NOX and VOC emissions, but net increases of
PM2.5 and SO2 emissions. These increases become
smaller over time.
Overall, we estimate that the proposal will lead to net reductions
in emissions of most pollutants because downstream emission reductions
tend to outpace EGU emission increases. We estimate that reductions
will start small and increase from 2027 through 2055. It is possible
there are increases in emissions of PM2.5 and SO2
in the nearer term as the electricity generation mix still relies on a
relatively higher proportion of fossil fuels. While we do not have
refinery emission impacts estimated for all calendar years, it is
possible that refinery emission reductions combined with downstream
emission reductions also outpace EGU emission increases. In 2055, for
example, we estimate that refinery and downstream emission reductions
exceed EGU emission increases of SO2.
VI. Climate, Health, Air Quality, Environmental Justice, and Economic
Impacts
In this section, we discuss the impacts of the NPRM on climate
change, health and environmental effects, environmental justice, and
oil and electricity consumption. We also discuss our approaches to
analyzing the impact of this proposal on the heavy-duty vehicle market
and employment.
A. Climate Change Impacts
Extensive information on climate change impacts is available in the
scientific assessments that are briefly described in this section, as
well as in the technical and scientific information supporting them.
One of those documents is the EPA's 2009 Endangerment and Cause or
Contribute Findings for GHGs Under section 202(a) of the CAA (74 FR
66496; December 15, 2009).\666\ In the 2009 Endangerment Findings, the
Administrator found under section 202(a) of the CAA that elevated
atmospheric concentrations of six key well-mixed GHGs--CO2,
CH4, N2O, hydrofluorocarbons (HFCs),
perfluorocarbons (PFCs), and sulfur hexafluoride (SF6)--
``may reasonably be anticipated to endanger the public health and
welfare of current and future generations'' (74 FR 66523; December 15,
2009), and the science and observed changes have confirmed and
strengthened the understanding and concerns regarding the climate risks
considered in the Finding. The 2009 Endangerment Findings, together
with
[[Page 26046]]
the extensive scientific and technical evidence in the supporting
record, documented that climate change caused by human emissions of
GHGs threatens the public health of the U.S. population.
---------------------------------------------------------------------------
\666\ In describing these 2009 Findings in this proposal, the
EPA is neither reopening nor revisiting them.
---------------------------------------------------------------------------
The most recent information demonstrates that the climate is
continuing to change in response to the human-induced buildup of GHGs
in the atmosphere. Recent scientific assessments show that atmospheric
concentrations of GHGs have risen to a level that has no precedent in
human history and that they continue to climb, primarily because of
both historic and current anthropogenic emissions, and that these
elevated concentrations endanger our health by affecting our food and
water sources, the air we breathe, the weather we experience, and our
interactions with the natural and built environments.
Global average temperature has increased by about 1.1 degrees
Celsius ([deg]C) (2.0 degrees Fahrenheit ([deg]F)) in the 2011-2020
decade relative to 1850-1900.\667\ The IPCC determined with medium
confidence that this past decade was warmer than any multi-century
period in at least the past 100,000 years.\668\ Global average sea
level has risen by about 8 inches (about 21 centimeters (cm)) from 1901
to 2018, with the rate from 2006 to 2018 (0.15 inches/year or 3.7
millimeters (mm)/year) almost twice the rate over the 1971 to 2006
period, and three times the rate of the 1901 to 2018 period.\669\ The
rate of sea level rise during the 20th Century was higher than in any
other century in at least the last 2,800 years.\670\ The CO2
being absorbed by the ocean has resulted in changes in ocean chemistry
due to acidification of a magnitude not seen in 65 million years,\671\
putting many marine species--particularly calcifying species--at risk.
Human-induced climate change has led to heatwaves and heavy
precipitation becoming more frequent and more intense, along with
increases in agricultural and ecological droughts \672\ in many
regions.\673\ The NCA4 found that it is very likely (greater than 90
percent likelihood) that by mid-century, the Arctic Ocean will be
almost entirely free of sea ice by late summer for the first time in
about 2 million years.\674\ Coral reefs will be at risk for almost
complete (99 percent) losses with 1[thinsp][deg]C (1.8[thinsp][deg]F)
of additional warming from today (2[thinsp][deg]C or 3.6[thinsp][deg]F
since preindustrial). At this temperature, between 8 and 18 percent of
animal, plant, and insect species could lose over half of the
geographic area with suitable climate for their survival, and 7 to 10
percent of rangeland livestock would be projected to be lost.\675\ The
IPCC similarly found that climate change has caused substantial damages
and increasingly irreversible losses in terrestrial, freshwater, and
coastal and open ocean marine ecosystems.\676\
---------------------------------------------------------------------------
\667\ IPCC, 2021: Summary for Policymakers. In: Climate Change
2021: The Physical Science Basis. Contribution of Working Group I to
the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L.
Connors, C. Pe[acute]an, S. Berger, N. Caud, Y. Chen, L. Goldfarb,
M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K.
Maycock, T. Waterfield, O. Yelek[ccedil]i, R. Yu and B. Zhou
(eds.)]. Cambridge University Press.
\668\ Ibid.
\669\ Ibid.
\670\ USGCRP, 2018: Impacts, Risks, and Adaptation in the United
States: Fourth National Climate Assessment, Volume II [Reidmiller,
D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M. Lewis, T.K.
Maycock, and B.C. Stewart (eds.)]. U.S. Global Change Research
Program, Washington, DC, USA, 1515 pp. doi: 10.7930/NCA4.2018.
\671\ IPCC, 2018: Global Warming of 1.5 [deg]C. An IPCC Special
Report on the impacts of global warming of 1.5 [deg]C above pre-
industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the
threat of climate change, sustainable development, and efforts to
eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. Portner, D.
Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C.
Pe[acute]an, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X.
Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T.
Waterfield (eds.)].
\672\ These are drought measures based on soil moisture.
\673\ IPCC, 2021.
\674\ USGCRP, 2021.
\675\ IPCC, 2018.
\676\ IPCC, 2022: Summary for Policymakers [H.-O. P[ouml]rtner,
D.C. Roberts, E.S. Poloczanska, K. Mintenbeck, M. Tignor, A.
Alegr[iacute]a, M. Craig, S. Langsdorf, S. L[ouml]schke, V.
M[ouml]ller, A. Okem (eds.)]. In: Climate Change 2022: Impacts,
Adaptation and Vulnerability. Contribution of Working Group II to
the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change [H.-O. P[ouml]rtner, D.C. Roberts, M. Tignor, E.S.
Poloczanska, K. Mintenbeck, A. Alegr[iacute]a, M. Craig, S.
Langsdorf, S. L[ouml]schke, V. M[ouml]ller, A. Okem, B. Rama
(eds.)]. Cambridge University Press, Cambridge, UK and New York, NY,
USA, pp. 3-33, doi:10.1017/9781009325844.001.
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Scientific assessments also demonstrate that even modest additional
amounts of warming may lead to a climate different from anything humans
have ever experienced. Every additional increment of temperature comes
with consequences. For example, the half-degree of warming from 1.5 to
2[thinsp][deg]C (0.9[thinsp][deg]F of warming from 2.7[thinsp][deg]F to
3.6[thinsp][deg]F) above preindustrial temperatures is projected on a
global scale to expose 420 million more people to frequent extreme
heatwaves, and 62 million more people to frequent exceptional heatwaves
(where heatwaves are defined based on a heat wave magnitude index which
takes into account duration and intensity--using this index, the 2003
French heat wave that led to almost 15,000 deaths would be classified
as an ``extreme heatwave'' and the 2010 Russian heatwave which led to
thousands of deaths and extensive wildfires would be classified as
``exceptional''). Every additional degree will intensify extreme
precipitation events by about 7 percent. The peak winds of the most
intense tropical cyclones (hurricanes) are projected to increase with
warming. In addition to a higher intensity, the IPCC found that
precipitation and frequency of rapid intensification of these storms
has already increased, while the movement speed has decreased, and
elevated sea levels have increased coastal flooding, all of which make
these tropical cyclones more damaging.\677\
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\677\ IPCC, 2021.
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The NCA4 recognized that climate change can increase risks to
national security, both through direct impacts on military
infrastructure, but also by affecting factors such as food and water
availability that can exacerbate conflict outside U.S. borders.
Droughts, floods, storm surges, wildfires, and other extreme events
stress nations and people through loss of life, displacement of
populations, and impacts on livelihoods.\678\ Risks to food security
would increase from ``medium'' to ``high'' for several lower income
regions in the Sahel, southern Africa, the Mediterranean, central
Europe, and the Amazon. In addition to food security issues, this
temperature increase would have implications for human health in terms
of increasing ozone pollution, heatwaves, and vector-borne diseases
(for example, expanding the range of the mosquitoes which carry dengue
fever, chikungunya, yellow fever, and the Zika virus; or the ticks that
carry Lyme disease or Rocky Mountain Spotted Fever).\679\
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\678\ USGCRP, 2018.
\679\ IPCC, 2018.
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The NCA4 also evaluated a number of impacts specific to the United
States. Severe drought and outbreaks of insects like the mountain pine
beetle have killed hundreds of millions of trees in the western United
States. Wildfires have burned more than 3.7 million acres in 14 of the
17 years between 2000 and 2016, and Federal wildfire suppression costs
were about a billion dollars annually.\680\ The National Interagency
Fire Center has documented U.S. wildfires since 1983; the 10 years with
the largest acreage burned have all occurred since 2004.\681\ Wildfire
smoke degrades air quality, increasing health
[[Page 26047]]
risks. More frequent and severe wildfires due to climate change would
further diminish air quality, increase incidences of respiratory
illness, impair visibility, and disrupt outdoor activities, sometimes
thousands of miles from the location of the fire.\682\
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\680\ USGCRP, 2018.
\681\ NIFC (National Interagency Fire Center). 2022. Total
wildland fires and acres (1983-2020). Accessed November 2022.
https://www.nifc.gov/sites/default/files/document-media/TotalFires.pdf.
\682\ USGCRP, 2018.
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While GHGs collectively are not the only factor that controls
climate, it is illustrative that 3 million years ago (the last time
CO2 concentrations were this high) Greenland was not yet
completely covered by ice and still supported forests, while 23 million
years ago (the last time concentrations were above 450 ppm) the West
Antarctic ice sheet was not yet developed, indicating the possibility
that high GHG concentrations could lead to a world that looks very
different from today and from the conditions in which human
civilization has developed. If the Greenland and Antarctic ice sheets
were to melt substantially, sea levels would rise dramatically--the
IPCC estimated that during the next 2,000 years, sea level will rise by
7 to 10 feet even if warming is limited to 1.5[thinsp][deg]C
(2.7[thinsp][deg]F), from 7 to 20 feet if limited to 2[thinsp][deg]C
(3.6[thinsp][deg]F), and by 60 to 70 feet if warming is allowed to
reach 5[thinsp][deg]C (9[thinsp][deg]F) above preindustrial
levels.\683\ For context, almost all of the city of Miami is less than
25 feet above sea level, and the NCA4 stated that 13 million Americans
would be at risk of migration due to 6 feet of sea level rise.
Meanwhile, sea level rise has amplified coastal flooding and erosion
impacts, requiring the installation of costly pump stations, flooding
streets, and increasing storm surge damages. Tens of billions of
dollars of U.S. real estate could be below sea level by 2050 under some
scenarios. Increased frequency and duration of drought will reduce
agricultural productivity in some regions, accelerate depletion of
water supplies for irrigation, and expand the distribution and
incidence of pests and diseases for crops and livestock.
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\683\ IPCC, 2021.
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Transportation is the largest U.S. source of GHG emissions,
representing 27 percent of total GHG emissions. Within the
transportation sector, heavy-duty vehicles are the second largest
contributor to GHG emissions and are responsible for 25 percent of GHG
emissions in the sector. The reduction in GHG emissions from the
standards in this proposal, quantified in Section V of this preamble,
would contribute toward the goal of holding the increase in the global
average temperature to well below 2 [deg]C above pre-industrial levels,
and subsequently reduce the probability of severe climate change-
related impacts including heat waves, drought, sea level rise, extreme
climate and weather events, coastal flooding, and wildfires.\684\
Section VI.D.1 of this preamble discusses impacts of GHG emissions on
individuals living in socially and economically vulnerable communities.
While EPA did not conduct modeling to specifically quantify changes in
climate impacts resulting from this rule in terms of avoided
temperature change or sea-level rise, we did quantify climate benefits
by monetizing the emission reductions through the application of the
social cost of greenhouse gases (SC-GHGs), as described in Section
VII.A of this preamble.
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\684\ Paris Agreement FCCC/CP/2015/10/Add.1 https://unfccc.int/documents/9097.
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B. Health and Environmental Effects Associated With Exposure to Non-GHG
Pollutants
The non-GHG emissions that would be impacted by the proposed rule
contribute, directly or via secondary formation, to concentrations of
pollutants in the air which affect human and environmental health.
These pollutants include particulate matter, ozone, nitrogen oxides,
sulfur oxides, carbon monoxide and air toxics.
1. Background on Criteria and Air Toxics Pollutants Impacted by This
Proposal
i. Particulate Matter
Particulate matter (PM) is a complex mixture of solid particles and
liquid droplets distributed among numerous atmospheric gases which
interact with solid and liquid phases. Particles in the atmosphere
range in size from less than 0.01 to more than 10 micrometers
([micro]m) in diameter.\685\ Atmospheric particles can be grouped into
several classes according to their aerodynamic diameter and physical
sizes. Generally, the three broad classes of particles include
ultrafine particles (UFPs, generally considered as particles with a
diameter less than or equal to 0.1 [micro]m [typically based on
physical size, thermal diffusivity, or electrical mobility]), ``fine''
particles (PM2.5; particles with a nominal mean aerodynamic
diameter less than or equal to 2.5 [micro]m), and ``thoracic''
particles (PM10; particles with a nominal mean aerodynamic
diameter less than or equal to 10 [micro]m). Particles that fall within
the size range between PM2.5 and PM10, are
referred to as ``thoracic coarse particles'' (PM10-2.5,
particles with a nominal mean aerodynamic diameter greater than 2.5
[micro]m and less than or equal to 10 [micro]m). EPA currently has
NAAQS for PM2.5 and PM10.\686\
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\685\ U.S. EPA. Policy Assessment (PA) for the Review of the
National Ambient Air Quality Standards for Particulate Matter (Final
Report, 2020). U.S. Environmental Protection Agency, Washington, DC,
EPA/452/R-20/002, 2020.
\686\ Regulatory definitions of PM size fractions, and
information on reference and equivalent methods for measuring PM in
ambient air, are provided in 40 CFR parts 50, 53, and 58. With
regard to NAAQS which provide protection against health and welfare
effects, the 24-hour PM10 standard provides protection
against effects associated with short-term exposure to thoracic
coarse particles (i.e., PM10-2.5).
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Most particles are found in the lower troposphere, where they can
have residence times ranging from a few hours to weeks. Particles are
removed from the atmosphere by wet deposition, such as when they are
carried by rain or snow, or by dry deposition, when particles settle
out of suspension due to gravity. Atmospheric lifetimes are generally
longest for PM2.5, which often remains in the atmosphere for
days to weeks before being removed by wet or dry deposition.\687\ In
contrast, atmospheric lifetimes for UFP and PM10-2.5 are
shorter. Within hours, UFP can undergo coagulation and condensation
that lead to formation of larger particles in the accumulation mode or
can be removed from the atmosphere by evaporation, deposition, or
reactions with other atmospheric components. PM10-2.5 are
also generally removed from the atmosphere within hours, through wet or
dry deposition.\688\
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\687\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019. Table 2-
1.
\688\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019. Table 2-
1.
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Particulate matter consists of both primary and secondary
particles. Primary particles are emitted directly from sources, such as
combustion-related activities (e.g., industrial activities, motor
vehicle operation, biomass burning), while secondary particles are
formed through atmospheric chemical reactions of gaseous precursors
(e.g., sulfur oxides (SOX), nitrogen oxides (NOX)
and volatile organic compounds (VOCs)).
ii. Ozone
Ground-level ozone pollution forms in areas with high
concentrations of ambient NOX and VOCs when solar radiation
is strong. Major U.S. sources of NOX are highway and nonroad
motor vehicles, engines, power plants and other industrial sources,
with natural sources, such as soil, vegetation, and lightning, serving
as smaller sources.
[[Page 26048]]
Vegetation is the dominant source of VOCs in the United States.
Volatile consumer and commercial products, such as propellants and
solvents, highway and nonroad vehicles, engines, fires, and industrial
sources also contribute to the atmospheric burden of VOCs at ground-
level.
The processes underlying ozone formation, transport, and
accumulation are complex. Ground-level ozone is produced and destroyed
by an interwoven network of free radical reactions involving the
hydroxyl radical (OH), NO, NO2, and complex reaction
intermediates derived from VOCs. Many of these reactions are sensitive
to temperature and available sunlight. High ozone events most often
occur when ambient temperatures and sunlight intensities remain high
for several days under stagnant conditions. Ozone and its precursors
can also be transported hundreds of miles downwind, which can lead to
elevated ozone levels in areas with otherwise low VOC or NOX
emissions. As an air mass moves and is exposed to changing ambient
concentrations of NOX and VOCs, the ozone photochemical
regime (relative sensitivity of ozone formation to NOX and
VOC emissions) can change.
When ambient VOC concentrations are high, comparatively small
amounts of NOX catalyze rapid ozone formation. Without
available NOX, ground-level ozone production is severely
limited, and VOC reductions would have little impact on ozone
concentrations. Photochemistry under these conditions is said to be
``NOX-limited.'' When NOX levels are sufficiently
high, faster NO2 oxidation consumes more radicals, dampening
ozone production. Under these ``VOC-limited'' conditions (also referred
to as '' NOX-saturated'' conditions), VOC reductions are
effective in reducing ozone, and NOX can react directly with
ozone, resulting in suppressed ozone concentrations near NOX
emission sources. Under these NOX-saturated conditions,
NOX reductions can increase local ozone under certain
circumstances, but overall ozone production (considering downwind
formation) decreases and, even in VOC-limited areas, NOX
reductions are not expected to increase ozone levels if the
NOX reductions are sufficiently large--large enough for
photochemistry to become NOX-limited.
iii. Nitrogen Oxides
Oxides of nitrogen (NOX) refers to nitric oxide (NO) and
nitrogen dioxide (NO2). Most NO2 is formed in the
air through the oxidation of nitric oxide (NO) emitted when fuel is
burned at a high temperature. NOX is a major contributor to
secondary PM2.5 formation, and NOX along with
VOCs are the two major precursors of ozone.
iv. Sulfur Oxides
Sulfur dioxide (SO2), a member of the sulfur oxide
(SOX) family of gases, is formed from burning fuels
containing sulfur (e.g., coal or oil), extracting gasoline from oil, or
extracting metals from ore. SO2 and its gas phase oxidation
products can dissolve in water droplets and further oxidize to form
sulfuric acid which reacts with ammonia to form sulfates, which are
important components of ambient PM.
v. Carbon Monoxide
Carbon monoxide (CO) is a colorless, odorless gas emitted from
combustion processes. Nationally, particularly in urban areas, the
majority of CO emissions to ambient air come from mobile sources.\689\
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\689\ U.S. EPA, (2010). Integrated Science Assessment for Carbon
Monoxide (Final Report). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R-09/019F, 2010. https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=218686. See Section 2.1.
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vi. Diesel Exhaust
Diesel exhaust is a complex mixture composed of particulate matter,
carbon dioxide, oxygen, nitrogen, water vapor, carbon monoxide,
nitrogen compounds, sulfur compounds and numerous low-molecular-weight
hydrocarbons. A number of these gaseous hydrocarbon components are
individually known to be toxic, including aldehydes, benzene and 1,3-
butadiene. The diesel particulate matter present in diesel exhaust
consists mostly of fine particles (less than 2.5 [micro]m), of which a
significant fraction is ultrafine particles (less than 0.1 [micro]m).
These particles have a large surface area which makes them an excellent
medium for adsorbing organics, and their small size makes them highly
respirable. Many of the organic compounds present in the gases and on
the particles, such as polycyclic organic matter, are individually
known to have mutagenic and carcinogenic properties.
Diesel exhaust varies significantly in chemical composition and
particle sizes between different engine types (heavy-duty, light-duty),
engine operating conditions (idle, acceleration, deceleration), and
fuel formulations (high/low sulfur fuel). Also, there are emissions
differences between on-road and nonroad engines because the nonroad
engines are generally of older technology. After being emitted in the
engine exhaust, diesel exhaust undergoes dilution as well as chemical
and physical changes in the atmosphere. The lifetimes of the components
present in diesel exhaust range from seconds to days.
vii. Air Toxics
The most recent available data indicate that millions of Americans
live in areas where air toxics pose potential health
concerns.690 691 The levels of air toxics to which people
are exposed vary depending on where people live and work and the kinds
of activities in which they engage, as discussed in detail in EPA's
2007 Mobile Source Air Toxics Rule.\692\ According to EPA's Air Toxics
Screening Assessment (AirToxScreen) for 2018, mobile sources were
responsible for 40 percent of outdoor anthropogenic toxic emissions and
were the largest contributor to national average cancer and noncancer
risk from directly emitted pollutants.693 694 Mobile sources
are also significant contributors to precursor emissions which react to
form air toxics.\695\ Formaldehyde is the largest contributor to cancer
risk of all 71 pollutants quantitatively assessed in the 2018
AirToxScreen. Mobile sources were responsible for 26 percent of primary
anthropogenic emissions of this pollutant in 2018 and are significant
contributors to formaldehyde precursor emissions. Benzene is also a
large contributor to cancer risk, and mobile sources account for about
60 percent of average exposure to ambient concentrations.
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\690\ Air toxics are pollutants known to cause or suspected of
causing cancer or other serious health effects. Air toxics are also
known as toxic air pollutants or hazardous air pollutants. https://www.epa.gov/AirToxScreen/airtoxscreen-glossary-terms#air-toxics.
\691\ U.S. EPA (2022) Technical Support Document EPA Air Toxics
Screening Assessment. 2017AirToxScreen TSD. https://www.epa.gov/system/files/documents/2022-03/airtoxscreen_2017tsd.pdf.
\692\ U.S. Environmental Protection Agency (2007). Control of
Hazardous Air Pollutants from Mobile Sources; Final Rule. 72 FR
8434, February 26, 2007.
\693\ U.S. EPA. (2022) 2018 Air Toxics Screening Assessment.
https://www.epa.gov/AirToxScreen/2018-airtoxscreen-assessment-results.
\694\ AirToxScreen also includes estimates of risk attributable
to background concentrations, which includes contributions from
long-range transport, persistent air toxics, and natural sources; as
well as secondary concentrations, where toxics are formed via
secondary formation. Mobile sources substantially contribute to
long-range transport and secondarily formed air toxics.
\695\ Rich Cook, Sharon Phillips, Madeleine Strum, Alison Eyth &
James Thurman (2020): Contribution of mobile sources to secondary
formation of carbonyl compounds, Journal of the Air & Waste
Management Association, DOI: 10.1080/10962247.2020.1813839.
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[[Page 26049]]
2. Health Effects Associated With Exposure to Non-GHG Pollutants
Emissions sources impacted by this proposal emit pollutants that
contribute to ambient concentrations of non-GHG pollutants. This
section of the preamble discusses the health effects associated with
exposure to these pollutants.
Additionally, because children have increased vulnerability and
susceptibility for adverse health effects related to air pollution
exposures, EPA's findings regarding adverse effects for children
related to exposure to pollutants that are impacted by this rule are
noted in this section. The increased vulnerability and susceptibility
of children to air pollution exposures may arise because infants and
children generally breathe more relative to their size than adults, and
consequently they may be exposed to relatively higher amounts of air
pollution.\696\ Children also tend to breathe through their mouths more
than adults, and their nasal passages are less effective at removing
pollutants, which leads to greater lung deposition of some pollutants
such as PM.697 698 Furthermore, air pollutants may pose
health risks specific to children because children's bodies are still
developing.\699\ For example, during periods of rapid growth such as
fetal development, infancy and puberty, their developing systems and
organs may be more easily harmed.700 701 EPA produces the
report titled ``America's Children and the Environment,'' which
presents national trends on air pollution and other contaminants and
environmental health of children.\702\
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\696\ EPA (2009) Metabolically-derived ventilation rates: A
revised approach based upon oxygen consumption rates. Washington,
DC: Office of Research and Development. EPA/600/R-06/129F. https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=202543.
\697\ U.S. EPA Integrated Science Assessment for Particulate
Matter (Final Report, 2019). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R-19/188, 2019. Chapter 4 ``Overall
Conclusions'' p. 4-1.
\698\ Foos, B.; Marty, M.; Schwartz, J.; Bennet, W.; Moya, J.;
Jarabek, A.M.; Salmon, A.G. (2008) Focusing on children's inhalation
dosimetry and health effects for risk assessment: An introduction. J
Toxicol Environ Health 71A: 149-165.
\699\ Children's environmental health includes conception,
infancy, early childhood and through adolescence until 21 years of
age as described in the EPA Memorandum: Issuance of EPA's 2021
Policy on Children's Health. October 5, 2021. Available at https://www.epa.gov/system/files/documents/2021-10/2021-policy-on-childrens-health.pdf.
\700\ EPA (2006) A Framework for Assessing Health Risks of
Environmental Exposures to Children. EPA, Washington, DC, EPA/600/R-
05/093F, 2006.
\701\ U.S. Environmental Protection Agency. (2005). Supplemental
guidance for assessing susceptibility from early-life exposure to
carcinogens. Washington, DC: Risk Assessment Forum. EPA/630/R-03/
003F. https://www3.epa.gov/airtoxics/childrens_supplement_final.pdf.
\702\ U.S. EPA. America's Children and the Environment.
Available at: https://www.epa.gov/americaschildrenenvironment.
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i. Particulate Matter
Scientific evidence spanning animal toxicological, controlled human
exposure, and epidemiologic studies shows that exposure to ambient PM
is associated with a broad range of health effects. These health
effects are discussed in detail in the Integrated Science Assessment
for Particulate Matter, which was finalized in December 2019 (2019 PM
ISA), with a more targeted evaluation of studies published since the
literature cutoff date of the 2019 PM ISA in the Supplement to the
Integrated Science Assessment for PM (Supplement).703 704
The PM ISA characterizes the causal nature of relationships between PM
exposure and broad health categories (e.g., cardiovascular effects,
respiratory effects, etc.) using a weight-of-evidence approach.\705\
Within this characterization, the PM ISA summarizes the health effects
evidence for short-term (i.e., hours up to one month) and long-term
(i.e., one month to years) exposures to PM2.5,
PM10-2.5, and ultrafine particles and
concludes that exposures to ambient PM2.5 are associated
with a number of adverse health effects. The discussion in this Section
VI.B.2.i highlights the PM ISA's conclusions and summarizes additional
information from the Supplement where appropriate, pertaining to the
health effects evidence for both short- and long-term PM exposures.
Further discussion of PM-related health effects can also be found in
the 2022 Policy Assessment for the review of the PM NAAQS.\706\
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\703\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
\704\ U.S. EPA. Supplement to the 2019 Integrated Science
Assessment for Particulate Matter (Final Report, 2022). U.S.
Environmental Protection Agency, Washington, DC, EPA/635/R-22/028,
2022.
\705\ The causal framework draws upon the assessment and
integration of evidence from across scientific disciplines, spanning
atmospheric chemistry, exposure, dosimetry and health effects
studies (i.e., epidemiologic, controlled human exposure, and animal
toxicological studies), and assess the related uncertainties and
limitations that ultimately influence our understanding of the
evidence. This framework employs a five-level hierarchy that
classifies the overall weight-of-evidence with respect to the causal
nature of relationships between criteria pollutant exposures and
health and welfare effects using the following categorizations:
causal relationship; likely to be causal relationship; suggestive
of, but not sufficient to infer, a causal relationship; inadequate
to infer the presence or absence of a causal relationship; and not
likely to be a causal relationship (U.S. EPA. (2019). Integrated
Science Assessment for Particulate Matter (Final Report). U.S.
Environmental Protection Agency, Washington, DC, EPA/600/R-19/188,
Section P. 3.2.3).
\706\ U.S. EPA. Policy Assessment (PA) for the Reconsideration
of the National Ambient Air Quality Standards for Particulate Matter
(Final Report, 2022). U.S. Environmental Protection Agency,
Washington, DC, EPA-452/R-22-004, 2022.
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EPA has concluded that recent evidence in combination with evidence
evaluated in the 2009 PM ISA supports a ``causal relationship'' between
both long- and short-term exposures to PM2.5 and premature
mortality and cardiovascular effects and a ``likely to be causal
relationship'' between long- and short-term PM2.5 exposures
and respiratory effects.\707\ Additionally, recent experimental and
epidemiologic studies provide evidence supporting a ``likely to be
causal relationship'' between long-term PM2.5 exposure and
nervous system effects and between long-term PM2.5 exposure
and cancer. Because of remaining uncertainties and limitations in the
evidence base, EPA determined a ``suggestive of, but not sufficient to
infer, a causal relationship'' for long-term PM2.5 exposure
and reproductive and developmental effects (i.e., male/female
reproduction and fertility; pregnancy and birth outcomes), long- and
short-term exposures and metabolic effects, and short-term exposure and
nervous system effects.
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\707\ U.S. EPA. (2009). Integrated Science Assessment for
Particulate Matter (Final Report). U.S. Environmental Protection
Agency, Washington, DC, EPA/600/R-08/139F.
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As discussed extensively in the 2019 PM ISA and the Supplement,
recent studies continue to support a ``causal relationship'' between
short- and long-term PM2.5 exposures and
mortality.708 709 For short-term PM2.5 exposure,
multi-city studies, in combination with single- and multi-city studies
evaluated in the 2009 PM ISA, provide evidence of consistent, positive
associations across studies conducted in different geographic
locations, populations with different demographic characteristics, and
studies using different exposure assignment techniques. Additionally,
the consistent and coherent evidence across scientific disciplines for
cardiovascular morbidity, particularly ischemic events and heart
failure, and to a lesser degree for respiratory morbidity, including
exacerbations of chronic obstructive pulmonary disease (COPD) and
asthma,
[[Page 26050]]
provide biological plausibility for cause-specific mortality and
ultimately total mortality. Recent epidemiologic studies evaluated in
the Supplement, including studies that employed alternative methods for
confounder control, provide additional support to the evidence base
that contributed to the 2019 PM ISA conclusion for short-term
PM2.5 exposure and mortality.
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\708\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
\709\ U.S. EPA. Supplement to the 2019 Integrated Science
Assessment for Particulate Matter (Final Report, 2022). U.S.
Environmental Protection Agency, Washington, DC, EPA/635/R-22/028,
2022.
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The 2019 PM ISA concluded a ``causal relationship'' between long-
term PM2.5 exposure and mortality. In addition to reanalyses
and extensions of the American Cancer Society (ACS) and Harvard Six
Cities (HSC) cohorts, multiple new cohort studies conducted in the
United States and Canada consisting of people employed in a specific
job (e.g., teacher, nurse), and that apply different exposure
assignment techniques, provide evidence of positive associations
between long-term PM2.5 exposure and mortality. Biological
plausibility for mortality due to long-term PM2.5 exposure
is provided by the coherence of effects across scientific disciplines
for cardiovascular morbidity, particularly for coronary heart disease,
stroke, and atherosclerosis, and for respiratory morbidity,
particularly for the development of COPD. Additionally, recent studies
provide evidence indicating that as long-term PM2.5
concentrations decrease there is an increase in life expectancy. Recent
cohort studies evaluated in the Supplement, as well as epidemiologic
studies that conducted accountability analyses or employed alternative
methods for confounder controls, support and extend the evidence base
that contributed to the 2019 PM ISA conclusion for long-term
PM2.5 exposure and mortality.
A large body of studies examining both short- and long-term
PM2.5 exposure and cardiovascular effects builds on the
evidence base evaluated in the 2009 PM ISA. The strongest evidence for
cardiovascular effects in response to short-term PM2.5
exposures is for ischemic heart disease and heart failure. The evidence
for short-term PM2.5 exposure and cardiovascular effects is
coherent across scientific disciplines and supports a continuum of
effects ranging from subtle changes in indicators of cardiovascular
health to serious clinical events, such as increased emergency
department visits and hospital admissions due to cardiovascular disease
and cardiovascular mortality. For long-term PM2.5 exposure,
there is strong and consistent epidemiologic evidence of a relationship
with cardiovascular mortality. This evidence is supported by
epidemiologic and animal toxicological studies demonstrating a range of
cardiovascular effects including coronary heart disease, stroke,
impaired heart function, and subclinical markers (e.g., coronary artery
calcification, atherosclerotic plaque progression), which collectively
provide coherence and biological plausibility. Recent epidemiologic
studies evaluated in the Supplement, as well as studies that conducted
accountability analyses or employed alternative methods for confounder
control, support and extend the evidence base that contributed to the
2019 PM ISA conclusion for both short- and long-term PM2.5
exposure and cardiovascular effects.
Studies evaluated in the 2019 PM ISA continue to provide evidence
of a ``likely to be causal relationship'' between both short- and long-
term PM2.5 exposure and respiratory effects. Epidemiologic
studies provide consistent evidence of a relationship between short-
term PM2.5 exposure and asthma exacerbation in children and
COPD exacerbation in adults as indicated by increases in emergency
department visits and hospital admissions, which is supported by animal
toxicological studies indicating worsening allergic airways disease and
subclinical effects related to COPD. Epidemiologic studies also provide
evidence of a relationship between short-term PM2.5 exposure
and respiratory mortality. However, there is inconsistent evidence of
respiratory effects, specifically lung function declines and pulmonary
inflammation, in controlled human exposure studies. With respect to
long term PM2.5 exposure, epidemiologic studies conducted in
the United States and abroad provide evidence of a relationship with
respiratory effects, including consistent changes in lung function and
lung function growth rate, increased asthma incidence, asthma
prevalence, and wheeze in children; acceleration of lung function
decline in adults; and respiratory mortality. The epidemiologic
evidence is supported by animal toxicological studies, which provide
coherence and biological plausibility for a range of effects including
impaired lung development, decrements in lung function growth, and
asthma development.
Since the 2009 PM ISA, a growing body of scientific evidence
examined the relationship between long-term PM2.5 exposure
and nervous system effects, resulting for the first time in a causality
determination for this health effects category of a ``likely to be
causal relationship.'' The strongest evidence for effects on the
nervous system comes from epidemiologic studies that consistently
report cognitive decrements and reductions in brain volume in adults.
The effects observed in epidemiologic studies in adults are supported
by animal toxicological studies demonstrating effects on the brain of
adult animals including inflammation, morphologic changes, and
neurodegeneration of specific regions of the brain. There is more
limited evidence for neurodevelopmental effects in children, with some
studies reporting positive associations with autism spectrum disorder
and others providing limited evidence of an association with cognitive
function. While there is some evidence from animal toxicological
studies indicating effects on the brain (i.e., inflammatory and
morphological changes) to support a biologically plausible pathway for
neurodevelopmental effects, epidemiologic studies are limited due to
their lack of control for potential confounding by copollutants, the
small number of studies conducted, and uncertainty regarding critical
exposure windows.
Building off the decades of research demonstrating mutagenicity,
DNA damage, and other endpoints related to genotoxicity due to whole PM
exposures, recent experimental and epidemiologic studies focusing
specifically on PM2.5 provide evidence of a relationship
between long-term PM2.5 exposure and cancer. Epidemiologic
studies examining long-term PM2.5 exposure and lung cancer
incidence and mortality provide evidence of generally positive
associations in cohort studies spanning different populations,
locations, and exposure assignment techniques. Additionally, there is
evidence of positive associations with lung cancer incidence and
mortality in analyses limited to never smokers. The epidemiologic
evidence is supported by both experimental and epidemiologic evidence
of genotoxicity, epigenetic effects, carcinogenic potential, and that
PM2.5 exhibits several characteristics of carcinogens, which
collectively provides biological plausibility for cancer development
and resulted in the conclusion of a ``likely to be causal
relationship.''
For the additional health effects categories evaluated for
PM2.5 in the 2019 PM ISA, experimental and epidemiologic
studies provide limited and/or inconsistent evidence of a relationship
with PM2.5 exposure. As a result, the 2019 PM ISA concluded
that the evidence is ``suggestive of, but not sufficient to infer a
causal relationship''
[[Page 26051]]
for short-term PM2.5 exposure and metabolic effects and
nervous system effects and for long-term PM2.5 exposures and
metabolic effects as well as reproductive and developmental effects.
In addition to evaluating the health effects attributed to short-
and long-term exposure to PM2.5, the 2019 PM ISA also
conducted an extensive evaluation as to whether specific components or
sources of PM2.5 are more strongly related with health
effects than PM2.5 mass. An evaluation of those studies
resulted in the 2019 PM ISA concluding that ``many PM2.5
components and sources are associated with many health effects, and the
evidence does not indicate that any one source or component is
consistently more strongly related to health effects than
PM2.5 mass.'' \710\
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\710\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
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For both PM10-2.5 and UFPs, for all health effects
categories evaluated, the 2019 PM ISA concluded that the evidence was
``suggestive of, but not sufficient to infer, a causal relationship''
or ``inadequate to determine the presence or absence of a causal
relationship.'' For PM10-2.5, although a Federal Reference
Method (FRM) was instituted in 2011 to measure PM10-2.5
concentrations nationally, the causality determinations reflect that
the same uncertainty identified in the 2009 PM ISA with respect to the
method used to estimate PM10-2.5 concentrations in
epidemiologic studies persists. Specifically, across epidemiologic
studies, different approaches are used to estimate PM10-2.5
concentrations (e.g., direct measurement of PM10-2.5,
difference between PM10 and PM2.5
concentrations), and it remains unclear how well correlated
PM10-2.5 concentrations are both spatially and temporally
across the different methods used.
For UFPs, which have often been defined as particles less than 0.1
[micro]m, the uncertainty in the evidence for the health effect
categories evaluated across experimental and epidemiologic studies
reflects the inconsistency in the exposure metric used (i.e., particle
number concentration, surface area concentration, mass concentration)
as well as the size fractions examined. In epidemiologic studies the
size fraction examined can vary depending on the monitor used and
exposure metric, with some studies examining number count over the
entire particle size range, while experimental studies that use a
particle concentrator often examine particles up to 0.3 [micro]m.
Additionally, due to the lack of a monitoring network, there is limited
information on the spatial and temporal variability of UFPs within the
United States, as well as population exposures to UFPs, which adds
uncertainty to epidemiologic study results.
The 2019 PM ISA cites extensive evidence indicating that ``both the
general population as well as specific populations and life stages are
at risk for PM2.5-related health effects.'' \711\ For
example, in support of its ``causal'' and ``likely to be causal''
determinations, the ISA cites substantial evidence for (1) PM-related
mortality and cardiovascular effects in older adults; (2) PM-related
cardiovascular effects in people with pre-existing cardiovascular
disease; (3) PM-related respiratory effects in people with pre-existing
respiratory disease, particularly asthma exacerbations in children; and
(4) PM-related impairments in lung function growth and asthma
development in children. The ISA additionally notes that stratified
analyses (i.e., analyses that directly compare PM-related health
effects across groups) provide strong evidence for racial and ethnic
differences in PM2.5 exposures and in the risk of
PM2.5-related health effects, specifically within Hispanic
and non-Hispanic Black populations, with some evidence of increased
risk for populations of low socioeconomic status. Recent studies
evaluated in the Supplement support the conclusion of the 2019 PM ISA
with respect to disparities in both PM2.5 exposure and
health risk by race and ethnicity and provide additional support for
disparities for populations of lower socioeconomic status.\712\
Additionally, evidence spanning epidemiologic studies that conducted
stratified analyses, experimental studies focusing on animal models of
disease or individuals with pre-existing disease, dosimetry studies, as
well as studies focusing on differential exposure suggest that
populations with pre-existing cardiovascular or respiratory disease,
populations that are overweight or obese, populations that have
particular genetic variants, and current/former smokers could be at
increased risk for adverse PM2.5-related health effects. The
2022 Policy Assessment for the review of the PM NAAQS also highlights
that factors that may contribute to increased risk of PM2.5-
related health effects include lifestage (children and older adults),
pre-existing diseases (cardiovascular disease and respiratory disease),
race/ethnicity, and socioeconomic status.\713\
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\711\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
\712\ U.S. EPA. Supplement to the 2019 Integrated Science
Assessment for Particulate Matter (Final Report, 2022). U.S.
Environmental Protection Agency, Washington, DC, EPA/635/R-22/028,
2022.
\713\ U.S. EPA. Policy Assessment (PA) for the Reconsideration
of the National Ambient Air Quality Standards for Particulate Matter
(Final Report, 2022). U.S. Environmental Protection Agency,
Washington, DC, EPA-452/R-22-004, 2022, p. 3-53.
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ii. Ozone
This section provides a summary of the health effects associated
with exposure to ambient concentrations of ozone.\714\ The information
in this section is based on the information and conclusions in the
April 2020 Integrated Science Assessment for Ozone (Ozone ISA).\715\
The Ozone ISA concludes that human exposures to ambient concentrations
of ozone are associated with a number of adverse health effects and
characterizes the weight of evidence for these health effects.\716\ The
discussion in this Section VI.B.2.ii highlights the Ozone ISA's
conclusions pertaining to health effects associated with both short-
term and long-term periods of exposure to ozone.
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\714\ Human exposure to ozone varies over time due to changes in
ambient ozone concentration and because people move between
locations which have notably different ozone concentrations. Also,
the amount of ozone delivered to the lung is influenced not only by
the ambient concentrations but also by the breathing route and rate.
\715\ U.S. EPA. Integrated Science Assessment (ISA) for Ozone
and Related Photochemical Oxidants (Final Report). U.S.
Environmental Protection Agency, Washington, DC, EPA/600/R-20/012,
2020.
\716\ The ISA evaluates evidence and draws conclusions on the
causal relationship between relevant pollutant exposures and health
effects, assigning one of five ``weight of evidence''
determinations: causal relationship, likely to be a causal
relationship, suggestive of a causal relationship, inadequate to
infer a causal relationship, and not likely to be a causal
relationship. For more information on these levels of evidence,
please refer to Table II in the Preamble of the ISA.
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For short-term exposure to ozone, the Ozone ISA concludes that
respiratory effects, including lung function decrements, pulmonary
inflammation, exacerbation of asthma, respiratory-related hospital
admissions, and mortality, are causally associated with ozone exposure.
It also concludes that metabolic effects, including metabolic syndrome
(i.e., changes in insulin or glucose levels, cholesterol levels,
obesity and blood pressure) and complications due to diabetes are
likely to be causally associated with short-term exposure to ozone and
that evidence is suggestive of a causal relationship between
cardiovascular effects, central nervous system effects
[[Page 26052]]
and total mortality and short-term exposure to ozone.
For long-term exposure to ozone, the Ozone ISA concludes that
respiratory effects, including new onset asthma, pulmonary inflammation
and injury, are likely to be causally related with ozone exposure. The
Ozone ISA characterizes the evidence as suggestive of a causal
relationship for associations between long-term ozone exposure and
cardiovascular effects, metabolic effects, reproductive and
developmental effects, central nervous system effects and total
mortality. The evidence is inadequate to infer a causal relationship
between chronic ozone exposure and increased risk of cancer.
Finally, interindividual variation in human responses to ozone
exposure can result in some groups being at increased risk for
detrimental effects in response to exposure. In addition, some groups
are at increased risk of exposure due to their activities, such as
outdoor workers and children. The Ozone ISA identified several groups
that are at increased risk for ozone-related health effects. These
groups are people with asthma, children and older adults, individuals
with reduced intake of certain nutrients (i.e., Vitamins C and E),
outdoor workers, and individuals having certain genetic variants
related to oxidative metabolism or inflammation. Ozone exposure during
childhood can have lasting effects through adulthood. Such effects
include altered function of the respiratory and immune systems.
Children absorb higher doses (normalized to lung surface area) of
ambient ozone, compared to adults, due to their increased time spent
outdoors, higher ventilation rates relative to body size, and a
tendency to breathe a greater fraction of air through the mouth.
Children also have a higher asthma prevalence compared to adults.
Recent epidemiologic studies provide generally consistent evidence that
long-term ozone exposure is associated with the development of asthma
in children. Studies comparing age groups reported higher magnitude
associations for short-term ozone exposure and respiratory hospital
admissions and emergency room visits among children than among adults.
Panel studies also provide support for experimental studies with
consistent associations between short-term ozone exposure and lung
function and pulmonary inflammation in healthy children. Additional
children's vulnerability and susceptibility factors are listed in
Section XI.G of the Preamble.
iii. Nitrogen Oxides
The most recent review of the health effects of oxides of nitrogen
completed by EPA can be found in the 2016 Integrated Science Assessment
for Oxides of Nitrogen--Health Criteria (Oxides of Nitrogen ISA).\717\
The primary source of NO2 is motor vehicle emissions, and
ambient NO2 concentrations tend to be highly correlated with
other traffic-related pollutants. Thus, a key issue in characterizing
the causality of NO2-health effect relationships consists of
evaluating the extent to which studies supported an effect of
NO2 that is independent of other traffic-related pollutants.
EPA concluded that the findings for asthma exacerbation integrated from
epidemiologic and controlled human exposure studies provided evidence
that is sufficient to infer a causal relationship between respiratory
effects and short-term NO2 exposure. The strongest evidence
supporting an independent effect of NO2 exposure comes from
controlled human exposure studies demonstrating increased airway
responsiveness in individuals with asthma following ambient-relevant
NO2 exposures. The coherence of this evidence with
epidemiologic findings for asthma hospital admissions and ED visits as
well as lung function decrements and increased pulmonary inflammation
in children with asthma describe a plausible pathway by which
NO2 exposure can cause an asthma exacerbation. The 2016 ISA
for Oxides of Nitrogen also concluded that there is likely to be a
causal relationship between long-term NO2 exposure and
respiratory effects. This conclusion is based on new epidemiologic
evidence for associations of NO2 with asthma development in
children combined with biological plausibility from experimental
studies.
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\717\ U.S. EPA. Integrated Science Assessment for Oxides of
Nitrogen--Health Criteria (2016 Final Report). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-15/068, 2016.
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In evaluating a broader range of health effects, the 2016 ISA for
Oxides of Nitrogen concluded that evidence is ``suggestive of, but not
sufficient to infer, a causal relationship'' between short-term
NO2 exposure and cardiovascular effects and mortality and
between long-term NO2 exposure and cardiovascular effects
and diabetes, birth outcomes, and cancer. In addition, the scientific
evidence is inadequate (insufficient consistency of epidemiologic and
toxicological evidence) to infer a causal relationship for long-term
NO2 exposure with fertility, reproduction, and pregnancy, as
well as with postnatal development. A key uncertainty in understanding
the relationship between these non-respiratory health effects and
short- or long-term exposure to NO2 is co-pollutant
confounding, particularly by other roadway pollutants. The available
evidence for non-respiratory health effects does not adequately address
whether NO2 has an independent effect or whether it
primarily represents effects related to other or a mixture of traffic-
related pollutants.
The 2016 ISA for Oxides of Nitrogen concluded that people with
asthma, children, and older adults are at increased risk for
NO2-related health effects. In these groups and lifestages,
NO2 is consistently related to larger effects on outcomes
related to asthma exacerbation, for which there is confidence in the
relationship with NO2 exposure.
iv. Sulfur Oxides
This section provides an overview of the health effects associated
with SO2. Additional information on the health effects of
SO2 can be found in the 2017 Integrated Science Assessment
for Sulfur Oxides--Health Criteria (SOX ISA).\718\ Following
an extensive evaluation of health evidence from animal toxicological,
controlled human exposure, and epidemiologic studies, the EPA has
concluded that there is a causal relationship between respiratory
health effects and short-term exposure to SO2. The immediate
effect of SO2 on the respiratory system in humans is
bronchoconstriction. People with asthma are more sensitive to the
effects of SO2, likely resulting from preexisting
inflammation associated with this disease. In addition to those with
asthma (both children and adults), there is suggestive evidence that
all children and older adults may be at increased risk of
SO2-related health effects. In free-breathing laboratory
studies involving controlled human exposures to SO2,
respiratory effects have consistently been observed following 5-10 min
exposures at SO2 concentrations >=400 ppb in people with
asthma engaged in moderate to heavy levels of exercise, with
respiratory effects occurring at concentrations as low as 200 ppb in
some individuals with asthma. A clear concentration-response
relationship has been demonstrated in these studies following exposures
to SO2 at concentrations between 200 and 1000
[[Page 26053]]
ppb, both in terms of increasing severity of respiratory symptoms and
decrements in lung function, as well as the percentage of individuals
with asthma adversely affected. Epidemiologic studies have reported
positive associations between short-term ambient SO2
concentrations and hospital admissions and emergency department visits
for asthma and for all respiratory causes, particularly among children
and older adults (>=65 years). The studies provide supportive evidence
for the causal relationship.
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\718\ U.S. EPA. Integrated Science Assessment (ISA) for Sulfur
Oxides--Health Criteria (Final Report, Dec 2017). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-17/451, 2017.
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For long-term SO2 exposure and respiratory effects, the
EPA has concluded that the evidence is suggestive of a causal
relationship. This conclusion is based on new epidemiologic evidence
for positive associations between long-term SO2 exposure and
increases in asthma incidence among children, together with animal
toxicological evidence that provides a pathophysiologic basis for the
development of asthma. However, uncertainty remains regarding the
influence of other pollutants on the observed associations with
SO2 because these epidemiologic studies have not examined
the potential for co-pollutant confounding.
Consistent associations between short-term exposure to
SO2 and mortality have been observed in epidemiologic
studies, with larger effect estimates reported for respiratory
mortality than for cardiovascular mortality. While this finding is
consistent with the demonstrated effects of SO2 on
respiratory morbidity, uncertainty remains with respect to the
interpretation of these observed mortality associations due to
potential confounding by various copollutants. Therefore, the EPA has
concluded that the overall evidence is suggestive of a causal
relationship between short-term exposure to SO2 and
mortality.
v. Carbon Monoxide
Information on the health effects of carbon monoxide (CO) can be
found in the January 2010 Integrated Science Assessment for Carbon
Monoxide (CO ISA).\719\ The CO ISA presents conclusions regarding the
presence of causal relationships between CO exposure and categories of
adverse health effects.\720\ This section provides a summary of the
health effects associated with exposure to ambient concentrations of
CO, along with the CO ISA conclusions.\721\
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\719\ U.S. EPA, (2010). Integrated Science Assessment for Carbon
Monoxide (Final Report). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R-09/019F, 2010.
\720\ The ISA evaluates the health evidence associated with
different health effects, assigning one of five ``weight of
evidence'' determinations: causal relationship, likely to be a
causal relationship, suggestive of a causal relationship, inadequate
to infer a causal relationship, and not likely to be a causal
relationship. For definitions of these levels of evidence, please
refer to Section 1.6 of the ISA.
\721\ Personal exposure includes contributions from many
sources, and in many different environments. Total personal exposure
to CO includes both ambient and non-ambient components; and both
components may contribute to adverse health effects.
---------------------------------------------------------------------------
Controlled human exposure studies of subjects with coronary artery
disease show a decrease in the time to onset of exercise-induced angina
(chest pain) and electrocardiogram changes following CO exposure. In
addition, epidemiologic studies observed associations between short-
term CO exposure and cardiovascular morbidity, particularly increased
emergency room visits and hospital admissions for coronary heart
disease (including ischemic heart disease, myocardial infarction, and
angina). Some epidemiologic evidence is also available for increased
hospital admissions and emergency room visits for congestive heart
failure and cardiovascular disease as a whole. The CO ISA concludes
that a causal relationship is likely to exist between short-term
exposures to CO and cardiovascular morbidity. It also concludes that
available data are inadequate to conclude that a causal relationship
exists between long-term exposures to CO and cardiovascular morbidity.
Animal studies show various neurological effects with in-utero CO
exposure. Controlled human exposure studies report central nervous
system and behavioral effects following low-level CO exposures,
although the findings have not been consistent across all studies. The
CO ISA concludes that the evidence is suggestive of a causal
relationship with both short- and long-term exposure to CO and central
nervous system effects.
A number of studies cited in the CO ISA have evaluated the role of
CO exposure in birth outcomes such as preterm birth or cardiac birth
defects. There is limited epidemiologic evidence of a CO-induced effect
on preterm births and birth defects, with weak evidence for a decrease
in birth weight. Animal toxicological studies have found perinatal CO
exposure to affect birth weight, as well as other developmental
outcomes. The CO ISA concludes that the evidence is suggestive of a
causal relationship between long-term exposures to CO and developmental
effects and birth outcomes.
Epidemiologic studies provide evidence of associations between
short-term CO concentrations and respiratory morbidity such as changes
in pulmonary function, respiratory symptoms, and hospital admissions. A
limited number of epidemiologic studies considered copollutants such as
ozone, SO2, and PM in two-pollutant models and found that CO
risk estimates were generally robust, although this limited evidence
makes it difficult to disentangle effects attributed to CO itself from
those of the larger complex air pollution mixture. Controlled human
exposure studies have not extensively evaluated the effect of CO on
respiratory morbidity. Animal studies at levels of 50-100 ppm CO show
preliminary evidence of altered pulmonary vascular remodeling and
oxidative injury. The CO ISA concludes that the evidence is suggestive
of a causal relationship between short-term CO exposure and respiratory
morbidity, and inadequate to conclude that a causal relationship exists
between long-term exposure and respiratory morbidity.
Finally, the CO ISA concludes that the epidemiologic evidence is
suggestive of a causal relationship between short-term concentrations
of CO and mortality. Epidemiologic evidence suggests an association
exists between short-term exposure to CO and mortality, but limited
evidence is available to evaluate cause-specific mortality outcomes
associated with CO exposure. In addition, the attenuation of CO risk
estimates which was often observed in co-pollutant models contributes
to the uncertainty as to whether CO is acting alone or as an indicator
for other combustion-related pollutants. The CO ISA also concludes that
there is not likely to be a causal relationship between relevant long-
term exposures to CO and mortality.
vi. Diesel Exhaust
In EPA's 2002 Diesel Health Assessment Document (Diesel HAD),
exposure to diesel exhaust was classified as likely to be carcinogenic
to humans by inhalation from environmental exposures, in accordance
with the revised draft 1996/1999 EPA cancer
guidelines.722 723 A number of
[[Page 26054]]
other agencies (National Institute for Occupational Safety and Health,
the International Agency for Research on Cancer, the World Health
Organization, California EPA, and the U.S. Department of Health and
Human Services) made similar hazard classifications prior to 2002. EPA
also concluded in the 2002 Diesel HAD that it was not possible to
calculate a cancer unit risk for diesel exhaust due to limitations in
the exposure data for the occupational groups or the absence of a dose-
response relationship.
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\722\ U.S. EPA. (1999). Guidelines for Carcinogen Risk
Assessment. Review Draft. NCEA-F-0644, July. Washington, DC: U.S.
EPA. Retrieved on March 19, 2009 from https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=54932.
\723\ U.S. EPA (2002). Health Assessment Document for Diesel
Engine Exhaust. EPA/600/8-90/057F Office of research and
Development, Washington DC. Retrieved on March 17, 2009 from https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=29060. pp. 1-1 1-2.
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In the absence of a cancer unit risk, the Diesel HAD sought to
provide additional insight into the significance of the diesel exhaust
cancer hazard by estimating possible ranges of risk that might be
present in the population. An exploratory analysis was used to
characterize a range of possible lung cancer risk. The outcome was that
environmental risks of cancer from long-term diesel exhaust exposures
could plausibly range from as low as 10-5 to as high as
10-3. Because of uncertainties, the analysis acknowledged
that the risks could be lower than 10-5, and a zero risk
from diesel exhaust exposure could not be ruled out.
Noncancer health effects of acute and chronic exposure to diesel
exhaust emissions are also of concern to EPA. EPA derived a diesel
exhaust reference concentration (RfC) from consideration of four well-
conducted chronic rat inhalation studies showing adverse pulmonary
effects. The RfC is 5 [micro]g/m\3\ for diesel exhaust measured as
diesel particulate matter. This RfC does not consider allergenic
effects such as those associated with asthma or immunologic or the
potential for cardiac effects. There was emerging evidence in 2002,
discussed in the Diesel HAD, that exposure to diesel exhaust can
exacerbate these effects, but the exposure-response data were lacking
at that time to derive an RfC based on these then-emerging
considerations. The Diesel HAD states, ``With [diesel particulate
matter] being a ubiquitous component of ambient PM, there is an
uncertainty about the adequacy of the existing [diesel exhaust]
noncancer database to identify all of the pertinent [diesel exhaust]-
caused noncancer health hazards.'' The Diesel HAD also notes ``that
acute exposure to [diesel exhaust] has been associated with irritation
of the eye, nose, and throat, respiratory symptoms (cough and phlegm),
and neurophysiological symptoms such as headache, lightheadedness,
nausea, vomiting, and numbness or tingling of the extremities.'' The
Diesel HAD notes that the cancer and noncancer hazard conclusions
applied to the general use of diesel engines then on the market and as
cleaner engines replace a substantial number of existing ones, the
applicability of the conclusions would need to be reevaluated.
It is important to note that the Diesel HAD also briefly summarizes
health effects associated with ambient PM and discusses EPA's then-
annual PM2.5 NAAQS of 15 [micro]g/m\3\.\724\ There is a
large and extensive body of human data showing a wide spectrum of
adverse health effects associated with exposure to ambient PM, of which
diesel exhaust is an important component. The PM2.5 NAAQS is
designed to provide protection from the noncancer health effects and
premature mortality attributed to exposure to PM2.5. The
contribution of diesel PM to total ambient PM varies in different
regions of the country and, also, within a region, from one area to
another. The contribution can be high in near-roadway environments, for
example, or in other locations where diesel engine use is concentrated.
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\724\ See Section VI.B.i for discussion of the current
PM2.5 NAAQS standard, and https://www.epa.gov/pm-pollution/national-ambient-air-quality-standards-naaqs-pm.
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Since 2002, several new studies have been published which continue
to report increased lung cancer risk associated with occupational
exposure to diesel exhaust from older engines. Of particular note since
2011 are three new epidemiology studies that have examined lung cancer
in occupational populations, including truck drivers, underground
nonmetal miners, and other diesel motor-related occupations. These
studies reported increased risk of lung cancer related to exposure to
diesel exhaust, with evidence of positive exposure-response
relationships to varying degrees.725 726 727 These newer
studies (along with others that have appeared in the scientific
literature) add to the evidence EPA evaluated in the 2002 Diesel HAD
and further reinforce the concern that diesel exhaust exposure likely
poses a lung cancer hazard. The findings from these newer studies do
not necessarily apply to newer technology diesel engines (i.e., heavy-
duty highway engines from 2007 and later model years) since the newer
engines have large reductions in the emission constituents compared to
older technology diesel engines.
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\725\ Garshick, Eric, Francine Laden, Jaime E. Hart, Mary E.
Davis, Ellen A. Eisen, and Thomas J. Smith. 2012. Lung cancer and
elemental carbon exposure in trucking industry workers.
Environmental Health Perspectives 120(9): 1301-1306.
\726\ Silverman, D.T., Samanic, C.M., Lubin, J.H., Blair, A.E.,
Stewart, P.A., Vermeulen, R., & Attfield, M.D. (2012). The diesel
exhaust in miners study: a nested case-control study of lung cancer
and diesel exhaust. Journal of the National Cancer Institute.
\727\ Olsson, Ann C., et al. ``Exposure to diesel motor exhaust
and lung cancer risk in a pooled analysis from case-control studies
in Europe and Canada.'' American journal of respiratory and critical
care medicine 183.7 (2011): 941-948.
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In light of the growing body of scientific literature evaluating
the health effects of exposure to diesel exhaust, in June 2012 the
World Health Organization's International Agency for Research on Cancer
(IARC), a recognized international authority on the carcinogenic
potential of chemicals and other agents, evaluated the full range of
cancer-related health effects data for diesel engine exhaust. IARC
concluded that diesel exhaust should be regarded as ``carcinogenic to
humans.'' \728\ This designation was an update from its 1988 evaluation
that considered the evidence to be indicative of a ``probable human
carcinogen.''
---------------------------------------------------------------------------
\728\ IARC [International Agency for Research on Cancer].
(2013). Diesel and gasoline engine exhausts and some nitroarenes.
IARC Monographs Volume 105. Online at https://monographs.iarc.fr/ENG/Monographs/vol105/index.php.
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vii. Air Toxics
Heavy-duty engine emissions contribute to ambient levels of air
toxics that are known or suspected human or animal carcinogens or that
have noncancer health effects. These compounds include, but are not
limited to, acetaldehyde, acrolein, benzene, 1,3-butadiene,
ethylbenzene, formaldehyde, and naphthalene, which were all identified
as national or regional health effects drivers or contributors in the
2018 AirToxScreen Assessment.729 730
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\729\ U.S. EPA (2022) Technical Support Document EPA Air Toxics
Screening Assessment. 2017AirToxScreen TSD. https://www.epa.gov/system/files/documents/2022-03/airtoxscreen_2017tsd.pdf.
\730\ U.S. EPA (2022) 2018 AirToxScreen Risk Drivers. https://www.epa.gov/AirToxScreen/airtoxscreen-risk-drivers.
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a. Acetaldehyde
Acetaldehyde is classified in EPA's IRIS database as a probable
human carcinogen, based on nasal tumors in rats, and is considered
toxic by the inhalation, oral, and intravenous routes.\731\ The
inhalation unit risk estimate (URE) in IRIS for acetaldehyde is 2.2 x
10-6 per [micro]g/m3.\732\
[[Page 26055]]
Acetaldehyde is reasonably anticipated to be a human carcinogen by the
NTP in the 14th Report on Carcinogens and is classified as possibly
carcinogenic to humans (Group 2B) by the IARC.733 734
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\731\ U.S. EPA (1991). Integrated Risk Information System File
of Acetaldehyde. Research and Development, National Center for
Environmental Assessment, Washington, DC. This material is available
electronically at https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=290.
\732\ U.S. EPA (1991). Integrated Risk Information System File
of Acetaldehyde. This material is available electronically at
https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=290.
\733\ NTP (National Toxicology Program). 2016. Report on
Carcinogens, Fourteenth Edition.; Research Triangle Park, NC: U.S.
Department of Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
\734\ International Agency for Research on Cancer (IARC).
(1999). Re-evaluation of some organic chemicals, hydrazine, and
hydrogen peroxide. IARC Monographs on the Evaluation of Carcinogenic
Risk of Chemical to Humans, Vol 71. Lyon, France.
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The primary noncancer effects of exposure to acetaldehyde vapors
include irritation of the eyes, skin, and respiratory tract.\735\ In
short-term (4 week) rat studies, degeneration of olfactory epithelium
was observed at various concentration levels of acetaldehyde
exposure.736 737 Data from these studies were used by EPA to
develop an inhalation reference concentration of 9 [micro]g/m\3\. Some
asthmatics have been shown to be a sensitive subpopulation to
decrements in functional expiratory volume (FEV1 test) and
bronchoconstriction upon acetaldehyde inhalation.\738\ Children,
especially those with diagnosed asthma, may be more likely to show
impaired pulmonary function and symptoms of asthma than are adults
following exposure to acetaldehyde.\739\
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\735\ U.S. EPA (1991). Integrated Risk Information System File
of Acetaldehyde. This material is available electronically at
https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=290.
\736\ U.S. EPA. (2003). Integrated Risk Information System File
of Acrolein. Research and Development, National Center for
Environmental Assessment, Washington, DC. This material is available
electronically at https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=364.
\737\ Appleman, L.M., R.A. Woutersen, and V.J. Feron. (1982).
Inhalation toxicity of acetaldehyde in rats. I. Acute and subacute
studies. Toxicology. 23: 293-297.
\738\ Myou, S.; Fujimura, M.; Nishi K.; Ohka, T.; and Matsuda,
T. (1993). Aerosolized acetaldehyde induces histamine-mediated
bronchoconstriction in asthmatics. Am. Rev. Respir.Dis.148(4 Pt 1):
940-943.
\739\ California OEHHA, 2014. TSD for Noncancer RELs: Appendix
D. Individual, Acute, 8-Hour, and Chronic Reference Exposure Level
Summaries. December 2008 (updated July 2014). https://oehha.ca.gov/media/downloads/crnr/appendixd1final.pdf.
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b. Acrolein
EPA most recently evaluated the toxicological and health effects
literature related to acrolein in 2003 and concluded that the human
carcinogenic potential of acrolein could not be determined because the
available data were inadequate. No information was available on the
carcinogenic effects of acrolein in humans, and the animal data
provided inadequate evidence of carcinogenicity.\740\ In 2021, the IARC
classified acrolein as probably carcinogenic to humans.\741\
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\740\ U.S. EPA. (2003). Integrated Risk Information System File
of Acrolein. Research and Development, National Center for
Environmental Assessment, Washington, DC. This material is available
at https://iris.epa.gov/ChemicalLanding/&substance_nmbr=364.
\741\ International Agency for Research on Cancer (IARC).
(2021). Monographs on the Identification of Carcinogenic Hazards to
humans, Volume 128. Acrolein, Crotonaldehyde, and Arecoline, World
Health Organization, Lyon, France.
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Lesions to the lungs and upper respiratory tract of rats, rabbits,
and hamsters have been observed after subchronic exposure to
acrolein.\742\ The agency has developed an RfC for acrolein of 0.02
[micro]g/m3 and an RfD of 0.5 [micro]g/kg-day.\743\
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\742\ U.S. EPA. (2003). Integrated Risk Information System File
of Acrolein. Office of Research and Development, National Center for
Environmental Assessment, Washington, DC. This material is available
at https://www.epa.gov/iris/subst/0364.htm.
\743\ U.S. EPA. (2003). Integrated Risk Information System File
of Acrolein. Office of Research and Development, National Center for
Environmental Assessment, Washington, DC. This material is available
at https://iris.epa.gov/ChemicalLanding/&substance_nmbr=364.
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Acrolein is extremely acrid and irritating to humans when inhaled,
with acute exposure resulting in upper respiratory tract irritation,
mucus hypersecretion and congestion. The intense irritancy of this
carbonyl has been demonstrated during controlled tests in human
subjects, who suffer intolerable eye and nasal mucosal sensory
reactions within minutes of exposure.\744\ These data and additional
studies regarding acute effects of human exposure to acrolein are
summarized in EPA's 2003 IRIS Human Health Assessment for
acrolein.\745\ Studies in humans indicate that levels as low as 0.09
ppm (0.21 mg/m3) for five minutes may elicit subjective
complaints of eye irritation with increasing concentrations leading to
more extensive eye, nose and respiratory symptoms. Acute exposures in
animal studies report bronchial hyper-responsiveness. Based on animal
data (more pronounced respiratory irritancy in mice with allergic
airway disease in comparison to non-diseased mice \746\) and
demonstration of similar effects in humans (e.g., reduction in
respiratory rate), individuals with compromised respiratory function
(e.g., emphysema, asthma) are expected to be at increased risk of
developing adverse responses to strong respiratory irritants such as
acrolein. EPA does not currently have an acute reference concentration
for acrolein. The available health effect reference values for acrolein
have been summarized by EPA and include an ATSDR MRL for acute exposure
to acrolein of 7 [micro]g/m3 for 1-14 days exposure and
Reference Exposure Level (REL) values from the California Office of
Environmental Health Hazard Assessment (OEHHA) for one-hour and 8-hour
exposures of 2.5 [micro]g/m3 and 0.7 [micro]g/m3,
respectively.\747\
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\744\ U.S. EPA. (2003). Toxicological review of acrolein in
support of summary information on Integrated Risk Information System
(IRIS) National Center for Environmental Assessment, Washington, DC.
EPA/635/R-03/003. p. 10. Available online at: https://iris.epa.gov/static/pdfs/0364tr.pdf.
\745\ U.S. EPA. (2003). Toxicological review of acrolein in
support of summary information on Integrated Risk Information System
(IRIS) National Center for Environmental Assessment, Washington, DC.
EPA/635/R-03/003. Available online at: https://iris.epa.gov/static/pdfs/0364tr.pdf.
\746\ Morris JB, Symanowicz PT, Olsen JE, et al. (2003).
Immediate sensory nerve-mediated respiratory responses to irritants
in healthy and allergic airway-diseased mice. J Appl Physiol
94(4):1563-1571.
\747\ U.S. EPA. (2009). Graphical Arrays of Chemical-Specific
Health Effect Reference Values for Inhalation Exposures (Final
Report). U.S. Environmental Protection Agency, Washington, DC, EPA/
600/R-09/061, 2009. https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=211003.
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c. Benzene
EPA's Integrated Risk Information System (IRIS) database lists
benzene as a known human carcinogen (causing leukemia) by all routes of
exposure and concludes that exposure is associated with additional
health effects, including genetic changes in both humans and animals
and increased proliferation of bone marrow cells in
mice.748 749 750 EPA states in its IRIS database that data
indicate a causal relationship between benzene exposure and acute
lymphocytic leukemia and suggest a relationship between benzene
exposure and chronic non-lymphocytic leukemia and chronic lymphocytic
leukemia. EPA's IRIS documentation for benzene also lists a range of
2.2 x 10-6 to 7.8 x 10-6 per [micro]g/
m3 as the unit risk estimate (URE) for
benzene.751 752 The
[[Page 26056]]
International Agency for Research on Cancer (IARC) has determined that
benzene is a human carcinogen, and the U.S. Department of Health and
Human Services (DHHS) has characterized benzene as a known human
carcinogen.753 754
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\748\ U.S. EPA. (2000). Integrated Risk Information System File
for Benzene. This material is available electronically at: https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=276.
\749\ International Agency for Research on Cancer. (1982). IARC
monographs on the evaluation of carcinogenic risk of chemicals to
humans, Volume 29, Some industrial chemicals and dyestuffs,
International Agency for Research on Cancer, World Health
Organization, Lyon, France 1982.
\750\ Irons, R.D.; Stillman, W.S.; Colagiovanni, D.B.; Henry,
V.A. (1992). Synergistic action of the benzene metabolite
hydroquinone on myelopoietic stimulating activity of granulocyte/
macrophage colony-stimulating factor in vitro, Proc. Natl. Acad.
Sci. 89:3691-3695.
\751\ A unit risk estimate is defined as the increase in the
lifetime risk of cancer of an individual who is exposed for a
lifetime to 1 [micro]g/m3 benzene in air.
\752\ U.S. EPA. (2000). Integrated Risk Information System File
for Benzene. This material is available electronically at: https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=276.
\753\ International Agency for Research on Cancer (IARC, 2018.
Monographs on the evaluation of carcinogenic risks to humans, volume
120. World Health Organization--Lyon, France. https://publications.iarc.fr/Book-And-Report-Series/Iarc-Monographs-On-The-Identification-Of-Carcinogenic-Hazards-To-Humans/Benzene-2018.
\754\ NTP (National Toxicology Program). 2016. Report on
Carcinogens, Fourteenth Edition.; Research Triangle Park, NC: U.S.
Department of Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
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A number of adverse noncancer health effects, including blood
disorders such as preleukemia and aplastic anemia, have also been
associated with long-term exposure to benzene.755 756 The
most sensitive noncancer effect observed in humans, based on current
data, is the depression of the absolute lymphocyte count in
blood.757 758 EPA's inhalation reference concentration (RfC)
for benzene is 30 [micro]g/m3. The RfC is based on
suppressed absolute lymphocyte counts seen in humans under occupational
exposure conditions. In addition, studies sponsored by the Health
Effects Institute (HEI) provide evidence that biochemical responses
occur at lower levels of benzene exposure than previously
known.759 760 761 762 EPA's IRIS program has not yet
evaluated these new data. EPA does not currently have an acute
reference concentration for benzene. The Agency for Toxic Substances
and Disease Registry (ATSDR) Minimal Risk Level (MRL) for acute
inhalation exposure to benzene is 29 [micro]g/m3 for 1-14
days exposure.763 764
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\755\ Aksoy, M. (1989). Hematotoxicity and carcinogenicity of
benzene. Environ. Health Perspect. 82: 193-197. EPA-HQ-OAR-2011-
0135.
\756\ Goldstein, B.D. (1988). Benzene toxicity. Occupational
medicine. State of the Art Reviews. 3: 541-554.
\757\ Rothman, N., G.L. Li, M. Dosemeci, W.E. Bechtold, G.E.
Marti, Y.Z. Wang, M. Linet, L.Q. Xi, W. Lu, M.T. Smith, N. Titenko-
Holland, L.P. Zhang, W. Blot, S.N. Yin, and R.B. Hayes. (1996).
Hematotoxicity among Chinese workers heavily exposed to benzene. Am.
J. Ind. Med. 29: 236-246.
\758\ U.S. EPA (2002). Toxicological Review of Benzene
(Noncancer Effects). Environmental Protection Agency, Integrated
Risk Information System (IRIS), Research and Development, National
Center for Environmental Assessment, Washington DC. This material is
available electronically at https://cfpub.epa.gov/ncea/iris/iris_documents/documents/toxreviews/0276tr.pdf.
\759\ Qu, O.; Shore, R.; Li, G.; Jin, X.; Chen, C.L.; Cohen, B.;
Melikian, A.; Eastmond, D.; Rappaport, S.; Li, H.; Rupa, D.;
Suramaya, R.; Songnian, W.; Huifant, Y.; Meng, M.; Winnik, M.; Kwok,
E.; Li, Y.; Mu, R.; Xu, B.; Zhang, X.; Li, K. (2003). HEI Report
115, Validation & Evaluation of Biomarkers in Workers Exposed to
Benzene in China.
\760\ Qu, Q., R. Shore, G. Li, X. Jin, L.C. Chen, B. Cohen, et
al. (2002). Hematological changes among Chinese workers with a broad
range of benzene exposures. Am. J. Industr. Med. 42: 275-285.
\761\ Lan, Qing, Zhang, L., Li, G., Vermeulen, R., et al.
(2004). Hematotoxically in Workers Exposed to Low Levels of Benzene.
Science 306: 1774-1776.
\762\ Turtletaub, K.W. and Mani, C. (2003). Benzene metabolism
in rodents at doses relevant to human exposure from Urban Air.
Research Reports Health Effect Inst. Report No.113.
\763\ U.S. Agency for Toxic Substances and Disease Registry
(ATSDR). (2007). Toxicological profile for benzene. Atlanta, GA:
U.S. Department of Health and Human Services, Public Health Service.
https://www.atsdr.cdc.gov/ToxProfiles/tp3.pdf.
\764\ A minimal risk level (MRL) is defined as an estimate of
the daily human exposure to a hazardous substance that is likely to
be without appreciable risk of adverse noncancer health effects over
a specified duration of exposure.
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There is limited information from two studies regarding an
increased risk of adverse effects to children whose parents have been
occupationally exposed to benzene.765 766 Data from animal
studies have shown benzene exposures result in damage to the
hematopoietic (blood cell formation) system during
development.767 768 769 Also, key changes related to the
development of childhood leukemia occur in the developing fetus.\770\
Several studies have reported that genetic changes related to eventual
leukemia development occur before birth. For example, there is one
study of genetic changes in twins who developed T cell leukemia at nine
years of age.\771\
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\765\ Corti, M; Snyder, CA. (1996) Influences of gender,
development, pregnancy and ethanol consumption on the hematotoxicity
of inhaled 10 ppm benzene. Arch Toxicol 70:209-217.
\766\ McKinney P.A.; Alexander, F.E.; Cartwright, R.A.; et al.
(1991) Parental occupations of children with leukemia in west
Cumbria, north Humberside, and Gateshead. Br Med J 302:681-686.
\767\ Keller, KA; Snyder, CA. (1986) Mice exposed in utero to
low concentrations of benzene exhibit enduring changes in their
colony forming hematopoietic cells. Toxicology 42:171-181.
\768\ Keller, KA; Snyder, CA. (1988) Mice exposed in utero to 20
ppm benzene exhibit altered numbers of recognizable hematopoietic
cells up to seven weeks after exposure. Fundam Appl Toxicol 10:224-
232.
\769\ Corti, M; Snyder, CA. (1996) Influences of gender,
development, pregnancy and ethanol consumption on the hematotoxicity
of inhaled 10 ppm benzene. Arch Toxicol 70:209-217.
\770\ U.S. EPA. (2002). Toxicological Review of Benzene
(Noncancer Effects). National Center for Environmental Assessment,
Washington, DC. Report No. EPA/635/R-02/001F. https://cfpub.epa.gov/ncea/iris/iris_documents/documents/toxreviews/0276tr.pdf.
\771\ Ford, AM; Pombo-de-Oliveira, MS; McCarthy, KP; MacLean,
JM; Carrico, KC; Vincent, RF; Greaves, M. (1997) Monoclonal origin
of concordant T-cell malignancy in identical twins. Blood 89:281-
285.
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d. 1,3-Butadiene
EPA has characterized 1,3-butadiene as carcinogenic to humans by
inhalation.772 773 The IARC has determined that 1,3-
butadiene is a human carcinogen, and the U.S. DHHS has characterized
1,3-butadiene as a known human carcinogen.774 775 776 777
There are numerous studies consistently demonstrating that 1,3-
butadiene is metabolized into genotoxic metabolites by experimental
animals and humans. The specific mechanisms of 1,3-butadiene-induced
carcinogenesis are unknown; however, the scientific evidence strongly
suggests that the carcinogenic effects are mediated by genotoxic
metabolites. Animal data suggest that females may be more sensitive
than males for cancer effects associated with 1,3-butadiene exposure;
there are insufficient data in humans from which to draw conclusions
about sensitive subpopulations. The URE for 1,3-butadiene is 3 x
10-5 per [micro]g/m3.\778\ 1,3-butadiene also
causes a variety of reproductive and developmental effects in mice; no
human data on these effects are available. The most sensitive effect
was ovarian atrophy observed in a lifetime bioassay of female
mice.\779\ Based on this critical effect and the benchmark
concentration methodology, an RfC for chronic health effects was
[[Page 26057]]
calculated at 0.9 ppb (approximately 2 [micro]g/m3).
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\772\ U.S. EPA. (2002). Health Assessment of 1,3-Butadiene.
Office of Research and Development, National Center for
Environmental Assessment, Washington Office, Washington, DC. Report
No. EPA600-P-98-001F. This document is available electronically at
https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=54499.
\773\ U.S. EPA. (2002) ``Full IRIS Summary for 1,3-butadiene
(CASRN 106-99-0)'' Environmental Protection Agency, Integrated Risk
Information System (IRIS), Research and Development, National Center
for Environmental Assessment, Washington, DC https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=139.
\774\ International Agency for Research on Cancer (IARC).
(1999). Monographs on the evaluation of carcinogenic risk of
chemicals to humans, Volume 71, Re-evaluation of some organic
chemicals, hydrazine and hydrogen peroxide, World Health
Organization, Lyon, France.
\775\ International Agency for Research on Cancer (IARC).
(2008). Monographs on the evaluation of carcinogenic risk of
chemicals to humans, 1,3-Butadiene, Ethylene Oxide and Vinyl Halides
(Vinyl Fluoride, Vinyl Chloride and Vinyl Bromide) Volume 97, World
Health Organization, Lyon, France.
\776\ NTP (National Toxicology Program). 2016. Report on
Carcinogens, Fourteenth Edition.; Research Triangle Park, NC: U.S.
Department of Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
\777\ International Agency for Research on Cancer (IARC).
(2012). Monographs on the evaluation of carcinogenic risk of
chemicals to humans, Volume 100F chemical agents and related
occupations, World Health Organization, Lyon, France.
\778\ U.S. EPA. (2002). ``Full IRIS Summary for 1,3-butadiene
(CASRN 106-99-0)'' Environmental Protection Agency, Integrated Risk
Information System (IRIS), Research and Development, National Center
for Environmental Assessment, Washington, DC https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=139.
\779\ Bevan, C.; Stadler, J.C.; Elliot, G.S.; et al. (1996).
Subchronic toxicity of 4-vinylcyclohexene in rats and mice by
inhalation. Fundam. Appl. Toxicol. 32:1-10.
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e. Ethylbenzene
EPA's inhalation RfC for ethylbenzene is 1 mg/m3. This conclusion
on a weight of evidence determination and RfC is contained in the 1991
IRIS file for ethylbenzene.\780\ The RfC is based on developmental
effects. A study in rabbits found reductions in live rabbit kits per
litter at 1000 ppm. In addition, a study on rats found an increased
incidence of supernumerary and rudimentary ribs at 1000 ppm and
elevated incidence of extra ribs at 100 ppm. In 1988, EPA concluded
that data were inadequate to give a weight of evidence characterization
for carcinogenic effects. EPA released an IRIS Assessment Plan for
Ethylbenzene in 2017,\781\ and EPA will be releasing the Systematic
Review Protocol for ethylbenzene in 2023.\782\
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\780\ U.S. EPA. (1991). Integrated Risk Information System File
for Ethylbenzene. This material is available electronically at:
https://iris.epa.gov/ChemicalLanding/&substance_nmbr=51.
\781\ U.S. EPA (2017). IRIS Assessment Plan for Ethylbenzene.
EPA/635/R-17/332. This document is available electronically at:
https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=337468.
\782\ U.S. EPA (2022). IRIS Program Outlook. June, 2022. This
material is available electronically at: https://www.epa.gov/system/files/documents/2022-06/IRIS%20Program%20Outlook_June22.pdf.
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California EPA completed a cancer risk assessment for ethylbenzene
in 2007 and developed an inhalation unit risk estimate of 2.5 x
10-6.\783\ This value was based on incidence of kidney
cancer in male rats. California EPA also developed a chronic inhalation
noncancer reference exposure level (REL) of 2000 [micro]g/
m3, based on nephrotoxicity and body weight reduction in
rats, liver cellular alterations, necrosis in mice, and hyperplasia of
the pituitary gland in mice.\784\
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\783\ California OEHHA, 2007. Adoption of a Unit Risk Value for
Ethylbenzene. This material is available electronically at: https://oehha.ca.gov/air/report-hot-spots/adoption-unit-risk-value-ethylbenzene.
\784\ California OEHHA, 2008. Technical Supporting Document for
Noncancer RELs, Appendix D3. This material is available
electronically at: https://oehha.ca.gov/media/downloads/crnr/appendixd3final.pdf.
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ATSDR developed a chronic inhalation Minimal Risk Level (MRL) for
ethylbenzene of 0.06 ppm based on renal effects and an acute MRL of 5
ppm based on auditory effects.
f. Formaldehyde
In 1991, EPA concluded that formaldehyde is a Class B1 probable
human carcinogen based on limited evidence in humans and sufficient
evidence in animals.\785\ An inhalation URE for cancer and a reference
dose for oral noncancer effects were developed by EPA and posted on the
IRIS database. Since that time, the NTP and IARC have concluded that
formaldehyde is a known human carcinogen.786 787 788
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\785\ EPA. Integrated Risk Information System. Formaldehyde
(CASRN 50-00-0) https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=419.
\786\ NTP (National Toxicology Program). 2016. Report on
Carcinogens, Fourteenth Edition.; Research Triangle Park, NC: U.S.
Department of Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
\787\ IARC Monographs on the Evaluation of Carcinogenic Risks to
Humans Volume 88 (2006): Formaldehyde, 2-Butoxyethanol and 1-tert-
Butoxypropan-2-ol.
\788\ IARC Monographs on the Evaluation of Carcinogenic Risks to
Humans Volume 100F (2012): Formaldehyde.
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The conclusions by IARC and NTP reflect the results of
epidemiologic research published since 1991 in combination with
previous animal, human and mechanistic evidence. Research conducted by
the National Cancer Institute reported an increased risk of
nasopharyngeal cancer and specific lymphohematopoietic malignancies
among workers exposed to formaldehyde.789 790 791 A National
Institute of Occupational Safety and Health study of garment workers
also reported increased risk of death due to leukemia among workers
exposed to formaldehyde.\792\ Extended follow-up of a cohort of British
chemical workers did not report evidence of an increase in
nasopharyngeal or lymphohematopoietic cancers, but a continuing
statistically significant excess in lung cancers was reported.\793\
Finally, a study of embalmers reported formaldehyde exposures to be
associated with an increased risk of myeloid leukemia but not brain
cancer.\794\
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\789\ Hauptmann, M.; Lubin, J. H.; Stewart, P. A.; Hayes, R. B.;
Blair, A. 2003. Mortality from lymphohematopoetic malignancies among
workers in formaldehyde industries. Journal of the National Cancer
Institute 95: 1615-1623.
\790\ Hauptmann, M.; Lubin, J. H.; Stewart, P. A.; Hayes, R. B.;
Blair, A. 2004. Mortality from solid cancers among workers in
formaldehyde industries. American Journal of Epidemiology 159: 1117-
1130.
\791\ Beane Freeman, L. E.; Blair, A.; Lubin, J. H.; Stewart, P.
A.; Hayes, R. B.; Hoover, R. N.; Hauptmann, M. 2009. Mortality from
lymphohematopoietic malignancies among workers in formaldehyde
industries: The National Cancer Institute cohort. J. National Cancer
Inst. 101: 751-761.
\792\ Pinkerton, L. E. 2004. Mortality among a cohort of garment
workers exposed to formaldehyde: an update. Occup. Environ. Med. 61:
193-200.
\793\ Coggon, D, EC Harris, J Poole, KT Palmer. 2003. Extended
follow-up of a cohort of British chemical workers exposed to
formaldehyde. J National Cancer Inst. 95:1608-1615.
\794\ Hauptmann, M.; Stewart P. A.; Lubin J. H.; Beane Freeman,
L. E.; Hornung, R. W.; Herrick, R. F.; Hoover, R. N.; Fraumeni, J.
F.; Hayes, R. B. 2009. Mortality from lymphohematopoietic
malignancies and brain cancer among embalmers exposed to
formaldehyde. Journal of the National Cancer Institute 101:1696-
1708.
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Health effects of formaldehyde in addition to cancer were reviewed
by the Agency for Toxics Substances and Disease Registry in 1999,
supplemented in 2010, and by the World Health
Organization.795 796 797 These organizations reviewed the
scientific literature concerning health effects linked to formaldehyde
exposure to evaluate hazards and dose response relationships and
defined exposure concentrations for minimal risk levels (MRLs). The
health endpoints reviewed included sensory irritation of eyes and
respiratory tract, reduced pulmonary function, nasal histopathology,
and immune system effects. In addition, research on reproductive and
developmental effects and neurological effects was discussed along with
several studies that suggest that formaldehyde may increase the risk of
asthma--particularly in the young.
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\795\ ATSDR. 1999. Toxicological Profile for Formaldehyde, U.S.
Department of Health and Human Services (HHS), July 1999.
\796\ ATSDR. 2010. Addendum to the Toxicological Profile for
Formaldehyde. U.S. Department of Health and Human Services (HHS),
October 2010.
\797\ IPCS. 2002. Concise International Chemical Assessment
Document 40. Formaldehyde. World Health Organization.
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In June 2010, EPA released a draft Toxicological Review of
Formaldehyde--Inhalation Assessment through the IRIS program for peer
review by the National Research Council (NRC) and public comment.\798\
That draft assessment reviewed more recent research from animal and
human studies on cancer and other health effects. The NRC released
their review report in April 2011.\799\ EPA's draft assessment, which
addresses NRC recommendations, was suspended in 2018.\800\ The draft
assessment was unsuspended in March 2021, and an external review draft
was released in
[[Page 26058]]
April 2022.\801\ This draft assessment is now undergoing review by the
National Academy of Sciences.\802\
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\798\ EPA (U.S. Environmental Protection Agency). 2010.
Toxicological Review of Formaldehyde (CAS No. 50-00-0)--Inhalation
Assessment: In Support of Summary Information on the Integrated Risk
Information System (IRIS). External Review Draft. EPA/635/R-10/002A.
U.S. Environmental Protection Agency, Washington DC [online].
Available: https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=223614.
\799\ NRC (National Research Council). 2011. Review of the
Environmental Protection Agency's Draft IRIS Assessment of
Formaldehyde. Washington DC: National Academies Press. https://books.nap.edu/openbook.php?record_id=13142.
\800\ U.S. EPA (2018). See https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=419.
\801\ U.S. EPA. IRIS Toxicological Review of Formaldehyde-
Inhalation (Interagency Science Consultation Draft, 2021). U.S.
Environmental Protection Agency, Washington, DC, EPA/635/R-21/286,
2021.
\802\ For additional information, see: https://www.nationalacademies.org/our-work/review-of-epas-2021-draft-formaldehyde-assessment.
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g. Naphthalene
Naphthalene is found in small quantities in gasoline and diesel
fuels. Naphthalene emissions have been measured in larger quantities in
both gasoline and diesel exhaust compared with evaporative emissions
from mobile sources, indicating it is primarily a product of
combustion.
Acute (short-term) exposure of humans to naphthalene by inhalation,
ingestion, or dermal contact is associated with hemolytic anemia and
damage to the liver and the nervous system.\803\ Chronic (long term)
exposure of workers and rodents to naphthalene has been reported to
cause cataracts and retinal damage.\804\ Children, especially neonates,
appear to be more susceptible to acute naphthalene poisoning based on
the number of reports of lethal cases in children and infants
(hypothesized to be due to immature naphthalene detoxification
pathways).\805\ EPA released an external review draft of a reassessment
of the inhalation carcinogenicity of naphthalene based on a number of
recent animal carcinogenicity studies.\806\ The draft reassessment
completed external peer review.\807\ Based on external peer review
comments received, EPA is developing a revised draft assessment that
considers inhalation and oral routes of exposure, as well as cancer and
noncancer effects.\808\ The external review draft does not represent
official agency opinion and was released solely for the purposes of
external peer review and public comment. The NTP listed naphthalene as
``reasonably anticipated to be a human carcinogen'' in 2004 on the
basis of bioassays reporting clear evidence of carcinogenicity in rats
and some evidence of carcinogenicity in mice.\809\ California EPA has
released a new risk assessment for naphthalene, and the IARC has
reevaluated naphthalene and re-classified it as Group 2B: possibly
carcinogenic to humans.\810\
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\803\ U.S. EPA. 1998. Toxicological Review of Naphthalene
(Reassessment of the Inhalation Cancer Risk), Environmental
Protection Agency, Integrated Risk Information System, Research and
Development, National Center for Environmental Assessment,
Washington, DC. This material is available electronically at https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\804\ U.S. EPA. 1998. Toxicological Review of Naphthalene
(Reassessment of the Inhalation Cancer Risk), Environmental
Protection Agency, Integrated Risk Information System, Research and
Development, National Center for Environmental Assessment,
Washington, DC. This material is available electronically at https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\805\ U.S. EPA. (1998). Toxicological Review of Naphthalene
(Reassessment of the Inhalation Cancer Risk), Environmental
Protection Agency, Integrated Risk Information System, Research and
Development, National Center for Environmental Assessment,
Washington, DC. This material is available electronically at https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\806\ U.S. EPA. (1998). Toxicological Review of Naphthalene
(Reassessment of the Inhalation Cancer Risk), Environmental
Protection Agency, Integrated Risk Information System, Research and
Development, National Center for Environmental Assessment,
Washington, DC. This material is available electronically at https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\807\ Oak Ridge Institute for Science and Education. (2004).
External Peer Review for the IRIS Reassessment of the Inhalation
Carcinogenicity of Naphthalene. August 2004. https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=84403.
\808\ U.S. EPA. (2018) See: https://cfpub.epa.gov/ncea/iris2/chemicalLanding.cfm?substance_nmbr=436.
\809\ NTP (National Toxicology Program). 2016. Report on
Carcinogens, Fourteenth Edition.; Research Triangle Park, NC: U.S.
Department of Health and Human Services, Public Health Service.
https://ntp.niehs.nih.gov/go/roc14.
\810\ International Agency for Research on Cancer (IARC).
(2002). Monographs on the Evaluation of the Carcinogenic Risk of
Chemicals for Humans. Vol. 82. Lyon, France.
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Naphthalene also causes a number of non-cancer effects in animals
following chronic and less-than-chronic exposure, including abnormal
cell changes and growth in respiratory and nasal tissues.\811\ The
current EPA IRIS assessment includes noncancer data on hyperplasia and
metaplasia in nasal tissue that form the basis of the inhalation RfC of
3 [micro]g/m3.\812\ The ATSDR MRL for acute and intermediate duration
oral exposure to naphthalene is 0.6 mg/kg/day based on maternal
toxicity in a developmental toxicology study in rats.\813\ ATSDR also
derived an ad hoc reference value of 6 x 10-2 mg/m3 for acute (<=24-
hour) inhalation exposure to naphthalene in a Letter Health
Consultation dated March 24, 2014 to address a potential exposure
concern in Illinois.\814\ The ATSDR acute inhalation reference value
was based on a qualitative identification of an exposure level
interpreted not to cause pulmonary lesions in mice. More recently, EPA
developed acute RfCs for 1-, 8-, and 24-hour exposure scenarios; the
<=24-hour reference value is 2 x 10x2 mg/m3.\815\ EPA's acute RfCs are
based on a systematic review of the literature, benchmark dose modeling
of naphthalene-induced nasal lesions in rats, and application of a PBPK
(physiologically based pharmacokinetic) model.
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\811\ U. S. EPA. (1998). Toxicological Review of Naphthalene,
Environmental Protection Agency, Integrated Risk Information System,
Research and Development, National Center for Environmental
Assessment, Washington, DC. This material is available
electronically at https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\812\ U.S. EPA. (1998). Toxicological Review of Naphthalene.
Environmental Protection Agency, Integrated Risk Information System
(IRIS), Research and Development, National Center for Environmental
Assessment, Washington, DC https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=56434.
\813\ ATSDR. Toxicological Profile for Naphthalene, 1-
Methylnaphthalene, and 2-Methylnaphthalene (2005). https://www.atsdr.cdc.gov/ToxProfiles/tp67-p.pdf.
\814\ ATSDR. Letter Health Consultation, Radiac Abrasives, Inc.,
Chicago, Illinois (2014). https://www.atsdr.cdc.gov/HAC/pha/RadiacAbrasives/Radiac%20Abrasives,%20Inc.%20_%20LHC%20(Final)%20_%2003-24-
2014%20(2)_508.pdf.
\815\ U. S. EPA. Derivation of an acute reference concentration
for inhalation exposure to naphthalene. Report No. EPA/600/R-21/292.
https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=355035.
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viii. Exposure and Health Effects Associated With Traffic
Locations in close proximity to major roadways generally have
elevated concentrations of many air pollutants emitted from motor
vehicles. Hundreds of studies have been published in peer-reviewed
journals, concluding that concentrations of CO, CO2, NO,
NO2, benzene, aldehydes, particulate matter, black carbon,
and many other compounds are elevated in ambient air within
approximately 300-600 meters (about 1,000-2,000 feet) of major
roadways. The highest concentrations of most pollutants emitted
directly by motor vehicles are found at locations within 50 meters
(about 165 feet) of the edge of a roadway's traffic lanes.
A large-scale review of air quality measurements in the vicinity of
major roadways between 1978 and 2008 concluded that the pollutants with
the steepest concentration gradients in vicinities of roadways were CO,
ultrafine particles, metals, elemental carbon (EC), NO, NOX,
and several VOCs.\816\ These pollutants showed a large reduction in
concentrations within 100 meters downwind of the roadway. Pollutants
that showed more gradual reductions with distance from roadways
included benzene, NO2, PM2.5, and PM10. In
reviewing the literature, Karner et al., (2010) reported that results
varied based on the method of statistical analysis used to determine
the gradient
[[Page 26059]]
in pollutant concentration. More recent studies continue to show
significant concentration gradients of traffic-related air pollution
around major roads.817 818 819 820 821;
822 823 824 There is evidence that EPA's regulations for
vehicles have lowered the near-road concentrations and gradients.\825\
Starting in 2010, EPA required through the NAAQS process that air
quality monitors be placed near high-traffic roadways for determining
concentrations of CO, NO2, and PM2.5 (in addition to those
existing monitors located in neighborhoods and other locations farther
away from pollution sources). The monitoring data for NO2 indicate that
in urban areas, monitors near roadways often report the highest
concentrations of NO2.\826\ More recent studies of traffic-related air
pollutants continue to report sharp gradients around roadways,
particularly within several hundred meters.827 828
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\816\ Karner, A.A.; Eisinger, D.S.; Niemeier, D.A. (2010). Near-
roadway air quality: synthesizing the findings from real-world data.
Environ Sci Technol 44: 5334-5344.
\817\ McDonald, B.C.; McBride, Z.C.; Martin, E.W.; Harley, R.A.
(2014) High-resolution mapping of motor vehicle carbon dioxide
emissions. J. Geophys. Res.Atmos.,119, 5283-5298, doi:10.1002/
2013JD021219.
\818\ Kimbrough, S.; Baldauf, R.W.; Hagler, G.S.W.; Shores,
R.C.; Mitchell, W.; Whitaker, D.A.; Croghan, C.W.; Vallero, D.A.
(2013) Long-term continuous measurement of near-road air pollution
in Las Vegas: seasonal variability in traffic emissions impact on
air quality. Air Qual Atmos Health 6: 295-305. DOI 10.1007/s11869-
012-0171-x.
\819\ Kimbrough, S.; Palma, T.; Baldauf, R.W. (2014) Analysis of
mobile source air toxics (MSATs)--Near-road VOC and carbonyl
concentrations. Journal of the Air &Waste Management Association,
64:3, 349-359, DOI: 10.1080/10962247.2013.863814.
\820\ Kimbrough, S.; Owen, R.C.; Snyder, M.; Richmond-Bryant, J.
(2017) NO to NO2 Conversion Rate Analysis and
Implications for Dispersion Model Chemistry Methods using Las Vegas,
Nevada Near-Road Field Measurements. Atmos Environ 165: 23-24.
\821\ Hilker, N.; Wang, J.W.; Jong, C-H.; Healy, R.M.; Sofowote,
U.; Debosz, J.; Su, Y.; Noble, M.; Munoz, A.; Doerkson, G.; White,
L.; Audette, C.; Herod, D.; Brook, J.R.; Evans, G.J. (2019) Traffic-
related air pollution near roadways: discerning local impacts from
background. Atmos. Meas. Tech., 12, 5247-5261. https://doi.org/10.5194/amt-12-5247-2019.
\822\ Grivas, G.; Stavroulas, I.; Liakakou, E.; Kaskaoutis,
D.G.; Bougiatioti, A.; Paraskevopoulou, D.; Gerasopoulos, E.;
Mihalopoulos, N. (2019) Measuring the spatial variability of black
carbon in Athens during wintertime. Air Quality, Atmosphere & Health
(2019) 12:1405-1417. https://doi.org/10.1007/s11869-019-00756-y.
\823\ Apte, J.S.; Messier, K.P.; Gani, S.; Brauer, M.;
Kirchstetter, T.W.; Lunden, M.M.; Marshall, J.D.; Portier, C.J.;
Vermeulen, R.C.H.; Hamburg, S.P. (2017) High-Resolution Air
Pollution Mapping with Google Street View Cars: Exploiting Big Data.
Environ Sci Technol 51: 6999-7008. https://doi.org/10.1021/acs.est.7b00891.
\824\ Dabek-Zlotorzynska, E.; Celo, V.; Ding, L.; Herod, D.;
Jeong, C-H.; Evans, G.; Hilker, N. (2019) Characteristics and
sources of PM2.5 and reactive gases near roadways in two
metropolitan areas in Canada. Atmos Environ 218: 116980. https://doi.org/10.1016/j.atmosenv.2019.116980.
\825\ Sarnat, J.A.; Russell, A.; Liang, D.; Moutinho, J.L;
Golan, R.; Weber, R.; Gao, D.; Sarnat, S.; Chang, H.H.; Greenwald,
R.; Yu, T. (2018) Developing Multipollutant Exposure Indicators of
Traffic Pollution: The Dorm Room Inhalation to Vehicle Emissions
(DRIVE) Study. Health Effects Institute Research Report Number 196.
[Online at: https://www.healtheffects.org/publication/developing-multipollutant-exposure-indicators-traffic-pollution-dorm-room-inhalation].
\826\ Gantt, B; Owen, R.C.; Watkins, N. (2021) Characterizing
nitrogen oxides and fine particulate matter near major highways in
the United States using the National Near-road Monitoring Network.
Environ Sci Technol 55: 2831-2838. [Online at https://doi.org/10.1021/acs.est.0c05851].
\827\ Apte, J.S.; Messier, K.P.; Gani, S.; Brauer, M.;
Kirchstetter, T.W.; Lunden, M.M.; Marshall, J.D.; Portier, C.J.;
Vermeulen, R.C.H.; Hamburg, S.P. (2017) High-Resolution Air
Pollution Mapping with Google Street View Cars: Exploiting Big Data.
Environ Sci Technol 51: 6999-7008. https://doi.org/10.1021/acs.est.7b00891.
\828\ Gu, P.; Li, H.Z.; Ye, Q.; et al. (2018) Intercity
variability of particulate matter is driven by carbonaceous sources
and correlated with land-use variables. Environ Sci Technol 52: 52:
11545-11554. [Online at https://dx.doi.org/10.1021/acs.est.8b03833].
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For pollutants with relatively high background concentrations
relative to near-road concentrations, detecting concentration gradients
can be difficult. For example, many carbonyls have high background
concentrations as a result of photochemical breakdown of precursors
from many different organic compounds. However, several studies have
measured carbonyls in multiple weather conditions and found higher
concentrations of many carbonyls downwind of
roadways.829 830 These findings suggest a substantial
roadway source of these carbonyls.
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\829\ Liu, W.; Zhang, J.; Kwon, J.l; et l. (2006).
Concentrations and source characteristics of airborne carbonyl
compounds measured outside urban residences. J Air Waste Manage
Assoc 56: 1196-1204.
\830\ Cahill, T.M.; Charles, M.J.; Seaman, V.Y. (2010).
Development and application of a sensitive method to determine
concentrations of acrolein and other carbonyls in ambient air.
Health Effects Institute Research Report 149. Available at https://www.healtheffects.org/system/files/Cahill149.pdf.
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In the past 30 years, many studies have been published with results
reporting that populations who live, work, or go to school near high-
traffic roadways experience higher rates of numerous adverse health
effects, compared to populations far away from major roads.\831\ In
addition, numerous studies have found adverse health effects associated
with spending time in traffic, such as commuting or walking along high-
traffic roadways, including studies among
children.832 833 834 835 The health outcomes with the
strongest evidence linking them with traffic-associated air pollutants
are respiratory effects, particularly in asthmatic children, and
cardiovascular effects.
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\831\ In the widely used PubMed database of health publications,
between January 1, 1990 and December 31, 2021, 1,979 publications
contained the keywords ``traffic, pollution, epidemiology,'' with
approximately half the studies published after 2015.
\832\ Laden, F.; Hart, J.E.; Smith, T.J.; Davis, M.E.; Garshick,
E. (2007) Cause-specific mortality in the unionized U.S. trucking
industry. Environmental Health Perspect 115:1192-1196.
\833\ Peters, A.; von Klot, S.; Heier, M.; Trentinaglia, I.;
H[ouml]rmann, A.; Wichmann, H.E.; L[ouml]wel, H. (2004) Exposure to
traffic and the onset of myocardial infarction. New England J Med
351: 1721-1730.
\834\ Zanobetti, A.; Stone, P.H.; Spelzer, F.E.; Schwartz, J.D.;
Coull, B.A.; Suh, H.H.; Nearling, B.D.; Mittleman, M.A.; Verrier,
R.L.; Gold, D.R. (2009) T-wave alternans, air pollution and traffic
in high-risk subjects. Am J Cardiol 104: 665-670.
\835\ Adar, S.; Adamkiewicz, G.; Gold, D.R.; Schwartz, J.;
Coull, B.A.; Suh, H. (2007) Ambient and microenvironmental particles
and exhaled nitric oxide before and after a group bus trip. Environ
Health Perspect 115: 507-512.
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Numerous reviews of this body of health literature have been
published. In a 2022 final report, an expert panel of the Health
Effects Institute (HEI) employed a systematic review focusing on
selected health endpoints related to exposure to traffic-related air
pollution.\836\ The HEI panel concluded that there was a high level of
confidence in evidence between long-term exposure to traffic-related
air pollution and health effects in adults, including all-cause,
circulatory, and ischemic heart disease mortality.\837\ The panel also
found that there is a moderate-to-high level of confidence in evidence
of associations with asthma onset and acute respiratory infections in
children and lung cancer and asthma onset in adults. This report
follows on an earlier expert review published by HEI in 2010, where it
found strongest evidence for asthma-related traffic impacts. Other
literature reviews have been published with conclusions generally
similar to the HEI panels'.838 839 840 841 Additionally, in
[[Page 26060]]
2014, researchers from the U.S. Centers for Disease Control and
Prevention (CDC) published a systematic review and meta-analysis of
studies evaluating the risk of childhood leukemia associated with
traffic exposure and reported positive associations between
``postnatal'' proximity to traffic and leukemia risks, but no such
association for ``prenatal'' exposures.\842\ The U.S. Department of
Health and Human Services' National Toxicology Program published a
monograph including a systematic review of traffic-related air
pollution and its impacts on hypertensive disorders of pregnancy. The
National Toxicology Program concluded that exposure to traffic-related
air pollution is ``presumed to be a hazard to pregnant women'' for
developing hypertensive disorders of pregnancy.\843\
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\836\ HEI Panel on the Health Effects of Long-Term Exposure to
Traffic-Related Air Pollution (2022) Systematic review and meta-
analysis of selected health effects of long-term exposure to
traffic-related air pollution. Health Effects Institute Special
Report 23. [Online at https://www.healtheffects.org/publication/systematic-review-and-meta-analysis-selected-health-effects-long-term-exposure-traffic] This more recent review focused on health
outcomes related to birth effects, respiratory effects,
cardiometabolic effects, and mortality.
\837\ Boogaard, H.; Patton. A.P.; Atkinson, R.W.; Brook, J.R.;
Chang, H.H.; Crouse, D.L.; Fussell, J.C.; Hoek, G.; Hoffman, B.;
Kappeler, R.; Kutlar Joss, M.; Ondras, M.; Sagiv, S.K.; Somoli, E.;
Shaikh, R.; Szpiro, A.A.; Van Vliet E.D.S.; Vinneau, D.; Weuve, J.;
Lurmann, F.W.; Forastiere, F. (2022) Long-term exposure to traffic-
related air pollution and selected health outcomes: a systematic
review and meta-analysis. Environ Intl 164: 107262. [Online at
https://doi.org/10.1016/j.envint.2022.107262].
\838\ Boothe, V.L.; Shendell, D.G. (2008). Potential health
effects associated with residential proximity to freeways and
primary roads: review of scientific literature, 1999-2006. J Environ
Health 70: 33-41.
\839\ Salam, M.T.; Islam, T.; Gilliland, F.D. (2008). Recent
evidence for adverse effects of residential proximity to traffic
sources on asthma. Curr Opin Pulm Med 14: 3-8.
\840\ Sun, X.; Zhang, S.; Ma, X. (2014) No association between
traffic density and risk of childhood leukemia: a meta-analysis.
Asia Pac J Cancer Prev 15: 5229-5232.
\841\ Raaschou-Nielsen, O.; Reynolds, P. (2006). Air pollution
and childhood cancer: a review of the epidemiological literature.
Int J Cancer 118: 2920-9.
\842\ Boothe, VL.; Boehmer, T.K.; Wendel, A.M.; Yip, F.Y. (2014)
Residential traffic exposure and childhood leukemia: a systematic
review and meta-analysis. Am J Prev Med 46: 413-422.
\843\ National Toxicology Program (2019) NTP Monograph on the
Systematic Review of Traffic-related Air Pollution and Hypertensive
Disorders of Pregnancy. NTP Monograph 7. https://ntp.niehs.nih.gov/ntp/ohat/trap/mgraph/trap_final_508.pdf.
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Health outcomes with few publications suggest the possibility of
other effects still lacking sufficient evidence to draw definitive
conclusions. Among these outcomes with a small number of positive
studies are neurological impacts (e.g., autism and reduced cognitive
function) and reproductive outcomes (e.g., preterm birth, low birth
weight).844 845 846 847 848
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\844\ Volk, H.E.; Hertz-Picciotto, I.; Delwiche, L.; et al.
(2011). Residential proximity to freeways and autism in the CHARGE
study. Environ Health Perspect 119: 873-877.
\845\ Franco-Suglia, S.; Gryparis, A.; Wright, R.O.; et al.
(2007). Association of black carbon with cognition among children in
a prospective birth cohort study. Am J Epidemiol. https://doi.org/10.1093/aje/kwm308.
\846\ Power, M.C.; Weisskopf, M.G.; Alexeef, SE; et al. (2011).
Traffic-related air pollution and cognitive function in a cohort of
older men. Environ Health Perspect 2011: 682-687.
\847\ Wu, J.; Wilhelm, M.; Chung, J.; et al. (2011). Comparing
exposure assessment methods for traffic-related air pollution in and
adverse pregnancy outcome study. Environ Res 111: 685-6692.
\848\ Stenson, C.; Wheeler, A.J.; Carver, A.; et al. (2021) The
impact of traffic-related air pollution on child and adolescent
academic performance: a systematic review. Environ Intl 155: 106696
[Online at https://doi.org/10.1016/j.envint.2021.106696].
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In addition to health outcomes, particularly cardiopulmonary
effects, conclusions of numerous studies suggest mechanisms by which
traffic-related air pollution affects health. For example, numerous
studies indicate that near-roadway exposures may increase systemic
inflammation, affecting organ systems, including blood vessels and
lungs.849 850 851 852 Additionally, long-term exposures in
near-road environments have been associated with inflammation-
associated conditions, such as atherosclerosis and
asthma.853 854 855
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\849\ Riediker, M. (2007). Cardiovascular effects of fine
particulate matter components in highway patrol officers. Inhal
Toxicol 19: 99-105. doi: 10.1080/08958370701495238.
\850\ Alexeef, SE; Coull, B.A.; Gryparis, A.; et al. (2011).
Medium-term exposure to traffic-related air pollution and markers of
inflammation and endothelial function. Environ Health Perspect 119:
481-486. doi:10.1289/ehp.1002560.
\851\ Eckel. S.P.; Berhane, K.; Salam, M.T.; et al. (2011).
Residential Traffic-related pollution exposure and exhaled nitric
oxide in the Children's Health Study. Environ Health Perspect.
doi:10.1289/ehp.1103516.
\852\ Zhang, J.; McCreanor, J.E.; Cullinan, P.; et al. (2009).
Health effects of real-world exposure diesel exhaust in persons with
asthma. Res Rep Health Effects Inst 138. [Online at https://www.healtheffects.org].
\853\ Adar, S.D.; Klein, R.; Klein, E.K.; et al. (2010). Air
pollution and the microvasculature: a cross-sectional assessment of
in vivo retinal images in the population-based Multi-Ethnic Study of
Atherosclerosis. PLoS Med 7(11): E1000372. https://doi.org/10.1371/journal.pmed.1000372.
\854\ Kan, H.; Heiss, G.; Rose, K.M.; et al. (2008). Prospective
analysis of traffic exposure as a risk factor for incident coronary
heart disease: The Atherosclerosis Risk in Communities (ARIC) study.
Environ Health Perspect 116: 1463-1468. https://doi.org/10.1289/ehp.11290.
\855\ McConnell, R.; Islam, T.; Shankardass, K.; et al. (2010).
Childhood incident asthma and traffic-related air pollution at home
and school. Environ Health Perspect 1021-1026.
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Several studies suggest that some factors may increase
susceptibility to the effects of traffic-associated air pollution.
Several studies have found stronger respiratory associations in
children experiencing chronic social stress, such as in violent
neighborhoods or in homes with high family
stress.856 857 858
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\856\ Islam, T.; Urban, R.; Gauderman, W.J.; et al. (2011).
Parental stress increases the detrimental effect of traffic exposure
on children's lung function. Am J Respir Crit Care Med.
\857\ Clougherty, J.E.; Levy, J.I.; Kubzansky, L.D.; et al.
(2007). Synergistic effects of traffic-related air pollution and
exposure to violence on urban asthma etiology. Environ Health
Perspect 115: 1140-1146.
\858\ Chen, E.; Schrier, H.M.; Strunk, R.C.; et al. (2008).
Chronic traffic-related air pollution and stress interact to predict
biologic and clinical outcomes in asthma. Environ Health Perspect
116: 970-5.
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The risks associated with residence, workplace, or schools near
major roads are of potentially high public health significance due to
the large population in such locations. Every two years from 1997 to
2009 and in 2011, the U.S. Census Bureau's American Housing Survey
(AHS) conducted a survey that includes whether housing units are within
300 feet of an ``airport, railroad, or highway with four or more
lanes.'' \859\ The 2013 AHS was the last AHS that included that
question. The 2013 survey reports that 17.3 million housing units, or
13 percent of all housing units in the United States, were in such
areas. Assuming that populations and housing units are in the same
locations, this corresponds to a population of more than 41 million
U.S. residents in close proximity to high-traffic roadways or other
transportation sources. According to the Central Intelligence Agency's
World Factbook, based on data collected between 2012-2014, the United
States had 6,586,610 km of roadways, 293,564 km of railways, and 13,513
airports. As such, highways represent the overwhelming majority of
transportation facilities described by this factor in the AHS.
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\859\ The variable was known as ``ETRANS'' in the questions
about the neighborhood.
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EPA also conducted a study to estimate the number of people living
near truck freight routes in the United States.\860\ Based on a
population analysis using the U.S. Department of Transportation's
(USDOT) Freight Analysis Framework 4 (FAF4) and population data from
the 2010 decennial census, an estimated 72 million people live within
200 meters (about 650 feet) of these freight routes.861 862
In addition, as described in Section VI.D.2, relative to the rest of
the population, people of color and those with lower incomes are more
likely to live near FAF4 truck routes. They are also more likely to
live in metropolitan areas. The EPA's Exposure Factor Handbook also
indicates that, on average, Americans spend more than an hour traveling
each day, bringing nearly all residents into a high-exposure
microenvironment for part of the day.
[[Page 26061]]
863 864 While near-roadway studies focus on residents near
roads or others spending considerable time near major roads, the
duration of commuting results in another important contributor to
overall exposure to traffic-related air pollution. Studies of health
that address time spent in transit have found evidence of elevated risk
of cardiac impacts. 865 866 867 Studies have also found
that school bus emissions can increase student exposures to diesel-
related air pollutants, and that programs that reduce school bus
emissions may improve health and reduce school absenteeism.
868 869 870 871
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\860\ U.S. EPA (2021). Estimation of Population Size and
Demographic Characteristics among People Living Near Truck Routes in
the Conterminous United States. Memorandum to the Docket.
\861\ FAF4 is a model from the USDOT's Bureau of Transportation
Statistics (BTS) and Federal Highway Administration (FHWA), which
provides data associated with freight movement in the U.S. It
includes data from the 2012 Commodity Flow Survey (CFS), the Census
Bureau on international trade, as well as data associated with
construction, agriculture, utilities, warehouses, and other
industries. FAF4 estimates the modal choices for moving goods by
trucks, trains, boats, and other types of freight modes. It includes
traffic assignments, including truck flows on a network of truck
routes. https://ops.fhwa.dot.gov/freight/freight_analysis/faf/.
\862\ The same analysis estimated the population living within
100 meters of a FAF4 truck route is 41 million.
\863\ EPA. (2011) Exposure Factors Handbook: 2011 Edition.
Chapter 16. Online at https://www.epa.gov/expobox/about-exposure-factors-handbook.
\864\ It is not yet possible to estimate the long-term impact of
growth in telework associated with the COVID-19 pandemic on travel
behavior. There were notable changes during the pandemic. For
example, according to the 2021 American Time Use Survey, a greater
fraction of workers did at least part of their work at home (38%) as
compared with the 2019 survey (24%). [Online at https://www.bls.gov/news.release/atus.nr0.htm.]
\865\ Riediker, M.; Cascio, W.E.; Griggs, T.R.; et al. (2004)
Particulate matter exposure in cars is associated with
cardiovascular effects in healthy young men. Am J Respir Crit Care
Med 169. [Online at https://doi.org/10.1164/rccm.200310-1463OC.]
\866\ Peters, A.; von Klot, S.; Heier, M.; et al. (2004)
Exposure to traffic and the onset of myocardial infarction. New Engl
J Med 1721-1730. [Online at https://doi.org/10.1056/NEJMoa040203.]
\867\ Adar, S.D.; Gold, D.R.; Coull, B.A.; (2007) Focused
exposure to airborne traffic particles and heart rate variability in
the elderly. Epidemiology 18: 95-103 [Online at 351: https://doi.org/10.1097/01.ede.0000249409.81050.46.]
\868\ Sabin, L.; Behrentz, E.; Winer, A.M.; et al.
Characterizing the range of children's air pollutant exposure during
school bus commutes. J Expo Anal Environ Epidemiol 15: 377-387.
[Online at https://doi.org/10.1038/sj.jea.7500414.]
\869\ Li, C.; N, Q.; Ryan, P.H.; School bus pollution and
changes in the air quality at schools: a case study. J Environ Monit
11: 1037-1042. [https://doi.org/10.1039/b819458k.]
\870\ Austin, W.; Heutel, G.; Kreisman, D. (2019) School bus
emissions, student health and academic performance. Econ Edu Rev 70:
108-12.
\871\ Adar, S.D.; D.Souza, J.; Sheppard, L.; et al. (2015)
Adopting clean fuels and technologies on school buses. Pollution and
health impacts in children. Am J Respir Crit Care Med 191. [Online
at https://doi.org/10.1164/rccm.201410-1924OC.]
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As described in Section VI.D.2, we estimate that about 10 million
students attend schools within 200 meters of major roads. Research into
the impact of traffic-related air pollution on school performance is
tentative. A review of this literature found some evidence that
children exposed to higher levels of traffic-related air pollution show
poorer academic performance than those exposed to lower levels of
traffic-related air pollution.872 873 However, this evidence
was judged to be weak due to limitations in the assessment methods.
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\872\ Stenson, C.; Wheeler, A.J.; Carver, A.; et al. (2021) The
impact of traffic-related air pollution on child and adolescent
academic performance: a systematic review. Environ Intl 155: 106696.
[Online at https://doi.org/10.1016/j.envint.2021.106696.]
\873\ Gartland, N; Aljofi, H.E.; Dienes, K.; Munford, L.A.;
Theakston, A.L.; van Tongeren, M. (2022) The effects of traffic air
pollution in and around schools on executive function and academic
performance in children: a rapid review. Int J Environ Res Public
Health 10: 749. [Online at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776123.]
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3. Welfare Effects Associated With Exposure to Non-GHG Pollutants
This section discusses the environmental effects associated with
non-GHG pollutants affected by this rule, specifically particulate
matter, ozone, NOX, SOX, and air toxics.
i. Visibility
Visibility can be defined as the degree to which the atmosphere is
transparent to visible light.\874\ Visibility impairment is caused by
light scattering and absorption by suspended particles and gases. It is
dominated by contributions from suspended particles except under
pristine conditions. Visibility is important because it has direct
significance to people's enjoyment of daily activities in all parts of
the country. Individuals value good visibility for the well-being it
provides them directly, where they live and work, and in places where
they enjoy recreational opportunities. Visibility is also highly valued
in significant natural areas, such as national parks and wilderness
areas, and special emphasis is given to protecting visibility in these
areas. For more information on visibility see the final 2019 p.m.
ISA.\875\
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\874\ National Research Council, (1993). Protecting Visibility
in National Parks and Wilderness Areas. National Academy of Sciences
Committee on Haze in National Parks and Wilderness Areas. National
Academy Press, Washington, DC. This book can be viewed on the
National Academy Press website at https://www.nap.edu/catalog/2097/protecting-visibility-in-national-parks-and-wilderness-areas.
\875\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
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EPA is working to address visibility impairment. Reductions in air
pollution from implementation of various programs associated with the
Clean Air Act Amendments of 1990 provisions have resulted in
substantial improvements in visibility and will continue to do so in
the future. Nationally, because trends in haze are closely associated
with trends in particulate sulfate and nitrate due to the relationship
between their concentration and light extinction, visibility trends
have improved as emissions of SO2 and NOX have
decreased over time due to air pollution regulations such as the Acid
Rain Program.\876\ However, in the western part of the country, changes
in total light extinction were smaller, and the contribution of
particulate organic matter to atmospheric light extinction was
increasing due to increasing wildfire emissions.\877\
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\876\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
\877\ Hand, JL; Prenni, AJ; Copeland, S; Schichtel, BA; Malm,
WC. (2020). Thirty years of the Clean Air Act Amendments: Impacts on
haze in remote regions of the United States (1990-2018). Atmos
Environ 243: 117865.
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In the Clean Air Act Amendments of 1977, Congress recognized
visibility's value to society by establishing a national goal to
protect national parks and wilderness areas from visibility impairment
caused by manmade pollution.\878\ In 1999, EPA finalized the regional
haze program to protect the visibility in Mandatory Class I Federal
areas.\879\ There are 156 national parks, forests and wilderness areas
categorized as Mandatory Class I Federal areas.\880\ These areas are
defined in CAA section 162 as those national parks exceeding 6,000
acres, wilderness areas and memorial parks exceeding 5,000 acres, and
all international parks which were in existence on August 7, 1977.
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\878\ See CAA Section 169(a).
\879\ 64 FR 35714, July 1, 1999.
\880\ 62 FR 38680-38681, July 18, 1997.
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EPA has also concluded that PM2.5 causes adverse effects
on visibility in other areas that are not targeted by the Regional Haze
Rule, such as urban areas, depending on PM2.5 concentrations
and other factors such as dry chemical composition and relative
humidity (i.e., an indicator of the water composition of the
particles). The secondary (welfare-based) PM NAAQS provide protection
against visibility effects. In recent PM NAAQS reviews, EPA evaluated a
target level of protection for visibility impairment that is expected
to be met through attainment of the existing secondary PM
standards.\881\
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\881\ On June 10, 2021, EPA announced that it will reconsider
the decision to retain the PM NAAQS. https://www.epa.gov/pm-pollution/national-ambient-air-quality-standards-naaqs-pm.
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ii. Ozone Effects on Ecosystems
The welfare effects of ozone include effects on ecosystems, which
can be observed across a variety of scales, i.e., subcellular,
cellular, leaf, whole plant, population and ecosystem. Ozone effects
that begin at small spatial scales, such as the leaf of an individual
plant, when they occur at sufficient magnitudes (or to a sufficient
degree) can result in effects being propagated
[[Page 26062]]
along a continuum to higher and higher levels of biological
organization. For example, effects at the individual plant level, such
as altered rates of leaf gas exchange, growth and reproduction, can,
when widespread, result in broad changes in ecosystems, such as
productivity, carbon storage, water cycling, nutrient cycling, and
community composition.
Ozone can produce both acute and chronic injury in sensitive plant
species depending on the concentration level and the duration of the
exposure.\882\ In those sensitive species,\883\ effects from repeated
exposure to ozone throughout the growing season of the plant can tend
to accumulate, so even relatively low concentrations experienced for a
longer duration have the potential to create chronic stress on
vegetation.884 885 Ozone damage to sensitive plant species
includes impaired photosynthesis and visible injury to leaves. The
impairment of photosynthesis, the process by which the plant makes
carbohydrates (its source of energy and food), can lead to reduced crop
yields, timber production, and plant productivity and growth. Impaired
photosynthesis can also lead to a reduction in root growth and
carbohydrate storage below ground, resulting in other, more subtle
plant and ecosystems impacts.\886\ These latter impacts include
increased susceptibility of plants to insect attack, disease, harsh
weather, interspecies competition and overall decreased plant vigor.
The adverse effects of ozone on areas with sensitive species could
potentially lead to species shifts and loss from the affected
ecosystems,\887\ resulting in a loss or reduction in associated
ecosystem goods and services. Additionally, visible ozone injury to
leaves can result in a loss of aesthetic value in areas of special
scenic significance like national parks and wilderness areas and
reduced use of sensitive ornamentals in landscaping.\888\ In addition
to ozone effects on vegetation, newer evidence suggests that ozone
affects interactions between plants and insects by altering chemical
signals (e.g., floral scents) that plants use to communicate to other
community members, such as attraction of pollinators.
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\882\ 73 FR 16486, March 27, 2008.
\883\ 73 FR 16491, March 27, 2008. Only a small percentage of
all the plant species growing within the U.S. (over 43,000 species
have been catalogued in the USDA PLANTS database) have been studied
with respect to ozone sensitivity.
\884\ U.S. EPA. Integrated Science Assessment (ISA) for Ozone
and Related Photochemical Oxidants (Final Report). U.S.
Environmental Protection Agency, Washington, DC, EPA/600/R-20/012,
2020.
\885\ The concentration at which ozone levels overwhelm a
plant's ability to detoxify or compensate for oxidant exposure
varies. Thus, whether a plant is classified as sensitive or tolerant
depends in part on the exposure levels being considered.
\886\ 73 FR 16492, March 27, 2008.
\887\ 73 FR 16493-16494, March 27, 2008. Ozone impacts could be
occurring in areas where plant species sensitive to ozone have not
yet been studied or identified.
\888\ 73 FR 16490-16497, March 27, 2008.
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The Ozone ISA presents more detailed information on how ozone
affects vegetation and ecosystems.\889\ The Ozone ISA reports causal
and likely causal relationships between ozone exposure and a number of
welfare effects and characterizes the weight of evidence for different
effects associated with ozone.\890\ The ISA concludes that visible
foliar injury effects on vegetation, reduced vegetation growth, reduced
plant reproduction, reduced productivity in terrestrial ecosystems,
reduced yield and quality of agricultural crops, alteration of below-
ground biogeochemical cycles, and altered terrestrial community
composition are causally associated with exposure to ozone. It also
concludes that increased tree mortality, altered herbivore growth and
reproduction, altered plant-insect signaling, reduced carbon
sequestration in terrestrial ecosystems, and alteration of terrestrial
ecosystem water cycling are likely to be causally associated with
exposure to ozone.
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\889\ U.S. EPA. Integrated Science Assessment (ISA) for Ozone
and Related Photochemical Oxidants (Final Report). U.S.
Environmental Protection Agency, Washington, DC, EPA/600/R-20/012,
2020.
\890\ The Ozone ISA evaluates the evidence associated with
different ozone related health and welfare effects, assigning one of
five ``weight of evidence'' determinations: causal relationship,
likely to be a causal relationship, suggestive of a causal
relationship, inadequate to infer a causal relationship, and not
likely to be a causal relationship. For more information on these
levels of evidence, please refer to Table II of the ISA.
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iii. Deposition
The Integrated Science Assessment for Oxides of Nitrogen, Oxides of
Sulfur, and Particulate Matter--Ecological Criteria documents the
ecological effects of the deposition of these criteria air
pollutants.\891\ It is clear from the body of evidence that oxides of
nitrogen, oxides of sulfur, and particulate matter contribute to total
nitrogen (N) and sulfur (S) deposition. In turn, N and S deposition
cause either nutrient enrichment or acidification depending on the
sensitivity of the landscape or the species in question. Both
enrichment and acidification are characterized by an alteration of the
biogeochemistry and the physiology of organisms, resulting in harmful
declines in biodiversity in terrestrial, freshwater, wetland, and
estuarine ecosystems in the U.S. Decreases in biodiversity mean that
some species become relatively less abundant and may be locally
extirpated. In addition to the loss of unique living species, the
decline in total biodiversity can be harmful because biodiversity is an
important determinant of the stability of ecosystems and their ability
to provide socially valuable ecosystem services.
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\891\ U.S. EPA. Integrated Science Assessment (ISA) for Oxides
of Nitrogen, Oxides of Sulfur and Particulate Matter Ecological
Criteria (Final Report). U.S. Environmental Protection Agency,
Washington, DC, EPA/600/R-20/278, 2020.
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Terrestrial, wetland, freshwater, and estuarine ecosystems in the
United States are affected by N enrichment/eutrophication caused by N
deposition. These effects have been consistently documented across the
United States for hundreds of species. In aquatic systems increased
nitrogen can alter species assemblages and cause eutrophication. In
terrestrial systems nitrogen loading can lead to loss of nitrogen-
sensitive lichen species, decreased biodiversity of grasslands, meadows
and other sensitive habitats, and increased potential for invasive
species.
The sensitivity of terrestrial and aquatic ecosystems to
acidification from nitrogen and sulfur deposition is predominantly
governed by geology. Prolonged exposure to excess nitrogen and sulfur
deposition in sensitive areas acidifies lakes, rivers, and soils.
Increased acidity in surface waters creates inhospitable conditions for
biota and affects the abundance and biodiversity of fishes, zooplankton
and macroinvertebrates and ecosystem function. Over time, acidifying
deposition also removes essential nutrients from forest soils,
depleting the capacity of soils to neutralize future acid loadings and
negatively affecting forest sustainability. Major effects in forests
include a decline in sensitive tree species, such as red spruce (Picea
rubens) and sugar maple (Acer saccharum).
Building materials including metals, stones, cements, and paints
undergo natural weathering processes from exposure to environmental
elements (e.g., wind, moisture, temperature fluctuations, sunlight,
etc.). Pollution can worsen and accelerate these effects. Deposition of
PM is associated with both physical damage (materials damage effects)
and impaired aesthetic qualities (soiling effects). Wet and dry
deposition of PM can physically affect materials, adding to the effects
of natural weathering processes, by potentially promoting or
accelerating the corrosion of metals, by degrading paints and by
deteriorating building materials such as
[[Page 26063]]
stone, concrete and marble.\892\ The effects of PM are exacerbated by
the presence of acidic gases and can be additive or synergistic due to
the complex mixture of pollutants in the air and surface
characteristics of the material. Acidic deposition has been shown to
have an effect on materials including zinc/galvanized steel and other
metal, carbonate stone (as monuments and building facings), and surface
coatings (paints).\893\ The effects on historic buildings and outdoor
works of art are of particular concern because of the uniqueness and
irreplaceability of many of these objects. In addition to aesthetic and
functional effects on metals, stone and glass, altered energy
efficiency of photovoltaic panels by PM deposition is also becoming an
important consideration for impacts of air pollutants on materials.
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\892\ U.S. EPA. Integrated Science Assessment (ISA) for
Particulate Matter (Final Report, 2019). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-19/188, 2019.
\893\ Irving, P.M., e.d. 1991. Acid Deposition: State of Science
and Technology, Volume III, Terrestrial, Materials, Health, and
Visibility Effects, The U.S. National Acid Precipitation Assessment
Program, Chapter 24, page 24-76.
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iv. Welfare Effects Associated With Air Toxics
Emissions from producing, transporting, and combusting fuel
contribute to ambient levels of pollutants that contribute to adverse
effects on vegetation. VOCs, some of which are considered air toxics,
have long been suspected to play a role in vegetation damage.\894\ In
laboratory experiments, a wide range of tolerance to VOCs has been
observed.\895\ Decreases in harvested seed pod weight have been
reported for the more sensitive plants, and some studies have reported
effects on seed germination, flowering, and fruit ripening. Effects of
individual VOCs or their role in conjunction with other stressors
(e.g., acidification, drought, temperature extremes) have not been well
studied. In a recent study of a mixture of VOCs including ethanol and
toluene on herbaceous plants, significant effects on seed production,
leaf water content, and photosynthetic efficiency were reported for
some plant species.\896\
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\894\ U.S. EPA. (1991). Effects of organic chemicals in the
atmosphere on terrestrial plants. EPA/600/3-91/001.
\895\ Cape JN, ID Leith, J Binnie, J Content, M Donkin, M
Skewes, DN Price AR Brown, AD Sharpe. (2003). Effects of VOCs on
herbaceous plants in an open-top chamber experiment. Environ.
Pollut. 124:341-343.
\896\ Cape JN, ID Leith, J Binnie, J Content, M Donkin, M
Skewes, DN Price AR Brown, AD Sharpe. (2003). Effects of VOCs on
herbaceous plants in an open-top chamber experiment. Environ.
Pollut. 124:341-343.
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Research suggests an adverse impact of vehicle exhaust on plants,
which has in some cases been attributed to aromatic compounds and in
other cases to NOX.897 898 899 The impacts of
VOCs on plant reproduction may have long-term implications for
biodiversity and survival of native species near major roadways. Most
of the studies of the impacts of VOCs on vegetation have focused on
short-term exposure, and few studies have focused on long-term effects
of VOCs on vegetation and the potential for metabolites of these
compounds to affect herbivores or insects.
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\897\ Viskari E-L. (2000). Epicuticular wax of Norway spruce
needles as indicator of traffic pollutant deposition. Water, Air,
and Soil Pollut. 121:327-337.
\898\ Ugrekhelidze D, F Korte, G Kvesitadze. (1997). Uptake and
transformation of benzene and toluene by plant leaves. Ecotox.
Environ. Safety 37:24-29.
\899\ Kammerbauer H, H Selinger, R Rommelt, A Ziegler-Jons, D
Knoppik, B Hock. (1987). Toxic components of motor vehicle emissions
for the spruce Picea abies. Environ. Pollut. 48:235-243.
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C. Air Quality Impacts of Non-GHG Pollutants
Section V of the preamble presents projections of the changes in
criteria pollutant and air toxics emissions due to the proposed
standards. However, the atmospheric chemistry related to ambient
concentrations of PM2.5, ozone and air toxics is very
complex, and evaluating air quality impacts of this proposed rule based
solely on emissions changes is difficult. Photochemical air quality
modeling is necessary to accurately project levels of most criteria and
air toxic pollutants, including ozone and PM. Air quality models use
mathematical and numerical techniques to simulate the physical and
chemical processes that affect air pollutants as they disperse and
react in the atmosphere. Based on inputs of meteorological data and
source information, these models are designed to characterize primary
pollutants that are emitted directly into the atmosphere and secondary
pollutants that are formed through complex chemical reactions within
the atmosphere. Photochemical air quality models have become widely
recognized and routinely utilized tools in regulatory analysis for
assessing the impacts of control strategies. Because of the length of
time needed to prepare the necessary emissions inventories, in addition
to the processing time associated with the modeling itself, we do not
have air quality modeling results available for this proposed rule.
D. Environmental Justice
EPA's 2016 ``Technical Guidance for Assessing Environmental Justice
in Regulatory Analysis'' provides recommendations on conducting the
highest quality analysis feasible, recognizing that data limitations,
time and resource constraints, and analytic challenges will vary by
media and regulatory context.\900\ When assessing the potential for
disproportionately high and adverse health or environmental impacts of
regulatory actions on populations with potential EJ concerns, the EPA
strives to answer three broad questions: (1) Is there evidence of
potential environmental justice (EJ) concerns in the baseline (the
state of the world absent the regulatory action)? Assessing the
baseline will allow the EPA to determine whether pre-existing
disparities are associated with the pollutant(s) under consideration
(e.g., if the effects of the pollutant(s) are more concentrated in some
population groups); (2) Is there evidence of potential EJ concerns for
the regulatory option(s) under consideration? Specifically, how are the
pollutant(s) and its effects distributed for the regulatory options
under consideration?; and (3) Do the regulatory option(s) under
consideration exacerbate or mitigate EJ concerns relative to the
baseline? It is not always possible to quantitatively assess these
questions.
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\900\ ``Technical Guidance for Assessing Environmental Justice
in Regulatory Analysis.'' Epa.gov, Environmental Protection Agency,
https://www.epa.gov/sites/production/files/2016-06/documents/ejtg_5_6_16_v5.1.pdf. (June 2016).
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In this section, we discuss the EJ impacts of the proposed
CO2 emission standards from the anticipated reduction of
GHGs (Section VI.D.1). EPA did not consider any potential
disproportionate impacts of vehicle emissions in selecting the proposed
CO2 emission standards, but we view mitigation of
disproportionate impacts of vehicle GHG emissions as one element of
protecting public health consistent with CAA section 202. We also
discuss potential additional EJ impacts from the non-GHG (criteria
pollutants and air toxics) emissions changes we estimate would result
from compliance with the proposed CO2 emission standards
(Section VI.D.2). EPA requests comment on the EJ impact analysis
presented in this proposal.
1. GHG Impacts
In 2009, under the Endangerment and Cause or Contribute Findings
for Greenhouse Gases Under Section 202(a) of the Clean Air Act
(``Endangerment Finding''), the Administrator considered
[[Page 26064]]
how climate change threatens the health and welfare of the U.S.
population. As part of that consideration, she also considered risks to
people of color and low-income individuals and communities, finding
that certain parts of the U.S. population may be especially vulnerable
based on their characteristics or circumstances. These groups include
economically and socially disadvantaged communities; individuals at
vulnerable life stages, such as the elderly, the very young, and
pregnant or nursing women; those already in poor health or with
comorbidities; the disabled; those experiencing homelessness, mental
illness, or substance abuse; and Indigenous or other populations
dependent on one or limited resources for subsistence due to factors
including but not limited to geography, access, and mobility.
Scientific assessment reports produced over the past decade by the
U.S. Global Change Research Program (USGCRP), 901 902 the
Intergovernmental Panel on Climate Change IPCC),
903 904 905 906 and the National Academies of Science,
Engineering, and Medicine 907 908 add more evidence that the
impacts of climate change raise potential environmental justice
concerns. These reports conclude that poorer or predominantly non-White
communities can be especially vulnerable to climate change impacts
because they tend to have limited adaptive capacities, are more
dependent on climate-sensitive resources such as local water and food
supplies, or have less access to social and information resources. Some
communities of color, specifically populations defined jointly by
ethnic/racial characteristics and geographic location, may be uniquely
vulnerable to climate change health impacts in the United States. In
particular, the 2016 scientific assessment on the Impacts of Climate
Change on Human Health \909\ found with high confidence that
vulnerabilities are place- and time-specific, life stages and ages are
linked to immediate and future health impacts, and social determinants
of health are linked to greater extent and severity of climate change-
related health impacts. The GHG emission reductions from this proposal
would contribute to efforts to reduce the probability of severe impacts
related to climate change.
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\901\ USGCRP, 2018: Impacts, Risks, and Adaptation in the United
States: Fourth National Climate Assessment, Volume II [Reidmiller,
D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M. Lewis, T.K.
Maycock, and B.C. Stewart (eds.)]. U.S. Global Change Research
Program, Washington, DC, USA, 1515 pp. doi: 10.7930/NCA4.2018.
\902\ USGCRP, 2016: The Impacts of Climate Change on Human
Health in the United States: A Scientific Assessment. Crimmins, A.,
J. Balbus, J.L. Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J.
Eisen, N. Fann, M.D. Hawkins, S.C. Herring, L. Jantarasami, D.M.
Mills, S. Saha, M.C. Sarofim, J. Trtanj, and L. Ziska, Eds. U.S.
Global Change Research Program, Washington, DC, 312 pp. https://dx.doi.org/10.7930/J0R49NQX.
\903\ Oppenheimer, M., M. Campos, R.Warren, J. Birkmann, G.
Luber, B. O'Neill, and K. Takahashi, 2014: Emergent risks and key
vulnerabilities. In: Climate Change 2014: Impacts, Adaptation, and
Vulnerability. Part A: Global and Sectoral Aspects. Contribution of
Working Group II to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros,
D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee,
K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N.
Levy, S. MacCracken, P.R. Mastrandrea, and L.L.White (eds.)].
Cambridge University Press, Cambridge, United Kingdom and New York,
NY, USA, pp. 1039-1099.
\904\ Porter, J.R., L. Xie, A.J. Challinor, K. Cochrane, S.M.
Howden, M.M. Iqbal, D.B. Lobell, and M.I. Travasso, 2014: Food
security and food production systems. In: Climate Change 2014:
Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral
Aspects. Contribution of Working Group II to the Fifth Assessment
Report of the Intergovernmental Panel on Climate Change [Field,
C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E.
Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma,
E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and
L.L.White (eds.)]. Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, pp. 485-533.
\905\ Smith, K.R., A.Woodward, D. Campbell-Lendrum, D.D. Chadee,
Y. Honda, Q. Liu, J.M. Olwoch, B. Revich, and R. Sauerborn, 2014:
Human health: impacts, adaptation, and co-benefits. In: Climate
Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global
and Sectoral Aspects. Contribution of Working Group II to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change
[Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea,
T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B.
Girma, E.S. Kissel,A.N. Levy, S. MacCracken, P.R. Mastrandrea, and
L.L.White (eds.)]. Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, pp. 709-754.
\906\ IPCC, 2018: Global Warming of 1.5[deg]C.An IPCC Special
Report on the impacts of global warming of 1.5[deg]C above pre-
industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the
threat of climate change, sustainable development, and efforts to
eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. P[ouml]rtner,
D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C.
P[eacute]an, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X.
Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T.
Waterfield (eds.)]. In Press.
\907\ National Research Council. 2011. America's Climate
Choices. Washington, DC: The National Academies Press. https://doi.org/10.17226/12781.
\908\ National Academies of Sciences, Engineering, and Medicine.
2017. Communities in Action: Pathways to Health Equity. Washington,
DC: The National Academies Press. https://doi.org/10.17226/24624.
\909\ USGCRP, 2016: The Impacts of Climate Change on Human
Health in the United States: A Scientific Assessment. Crimmins, A.,
J. Balbus, J.L. Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J.
Eisen, N. Fann, M.D. Hawkins, S.C. Herring, L. Jantarasami, D.M.
Mills, S. Saha, M.C. Sarofim, J. Trtanj, and L. Ziska, Eds. U.S.
Global Change Research Program, Washington, DC, 312 pp. https://dx.doi.org/10.7930/J0R49NQX.
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i. Effects on Specific Populations of Concern
Individuals living in socially and economically vulnerable
communities, such as those living at or below the poverty line or who
are experiencing homelessness or social isolation, are at greater risk
of health effects from climate change. This is also true with respect
to people at vulnerable life stages, specifically women who are pre-
and perinatal or are nursing; in utero fetuses; children at all stages
of development; and the elderly. Per the Fourth National Climate
Assessment (NCA4), ``Climate change affects human health by altering
exposures to heat waves, floods, droughts, and other extreme events;
vector-, food- and waterborne infectious diseases; changes in the
quality and safety of air, food, and water; and stresses to mental
health and well-being.'' \910\ Many health conditions such as
cardiopulmonary or respiratory illness and other health impacts are
associated with and exacerbated by an increase in GHGs and climate
change outcomes, which is problematic as these diseases occur at higher
rates within vulnerable communities. Importantly, negative public
health outcomes include those that are physical in nature, as well as
mental, emotional, social, and economic.
---------------------------------------------------------------------------
\910\ Ebi, K.L., J.M. Balbus, G. Luber, A. Bole, A. Crimmins, G.
Glass, S. Saha, M.M. Shimamoto, J. Trtanj, and J.L. White-Newsome,
2018: Human Health. In Impacts, Risks, and Adaptation in the United
States: Fourth National Climate Assessment, Volume II [Reidmiller,
D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M. Lewis, T.K.
Maycock, and B.C. Stewart (eds.)]. U.S. Global Change Research
Program, Washington, DC, USA, pp. 539-571. doi: 10.7930/
NCA4.2018.CH14.
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To this end, the scientific assessment literature, including the
aforementioned reports, demonstrates that there are myriad ways in
which these populations may be affected at the individual and community
levels. Individuals face differential exposure to criteria pollutants,
in part due to the proximities of highways, trains, factories, and
other major sources of pollutant-emitting sources to less-affluent
residential areas. Outdoor workers, such as construction or utility
crews and agricultural laborers, who frequently are comprised of
already at-risk groups, are exposed to poor air quality and extreme
temperatures without relief. Furthermore, people in communities with EJ
concerns face greater housing, clean water, and food insecurity and
bear disproportionate economic impacts and health burdens associated
with climate change effects. They have less or limited access to
healthcare and affordable, adequate
[[Page 26065]]
health or homeowner insurance. Finally, resiliency and adaptation are
more difficult for economically vulnerable communities; they have less
liquidity, individually and collectively, to move or to make the types
of infrastructure or policy changes to limit or reduce the hazards they
face. They frequently are less able to self-advocate for resources that
would otherwise aid in building resilience and hazard reduction and
mitigation.
The assessment literature cited in EPA's 2009 and 2016 Endangerment
and Cause or Contribute Findings, as well as Impacts of Climate Change
on Human Health, also concluded that certain populations and life
stages, including children, are most vulnerable to climate-related
health effects.\911\ The assessment literature produced from 2016 to
the present strengthens these conclusions by providing more detailed
findings regarding related vulnerabilities and the projected impacts
youth may experience. These assessments--including the NCA4 and The
Impacts of Climate Change on Human Health in the United States (2016)--
describe how children's unique physiological and developmental factors
contribute to making them particularly vulnerable to climate change.
Impacts to children are expected from heat waves, air pollution,
infectious and waterborne illnesses, and mental health effects
resulting from extreme weather events. In addition, children are among
those especially susceptible to allergens, as well as health effects
associated with heat waves, storms, and floods. Additional health
concerns may arise in low-income households, especially those with
children, if climate change reduces food availability and increases
prices, leading to food insecurity within households.
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\911\ 74 FR 66496, December 15, 2009; 81 FR 54422, August 15,
2016.
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The Impacts of Climate Change on Human Health \912\ also found that
some communities of color, low-income groups, people with limited
English proficiency, and certain immigrant groups (especially those who
are undocumented) live with many of the factors that contribute to
their vulnerability to the health impacts of climate change. While
difficult to isolate from related socioeconomic factors, race appears
to be an important factor in vulnerability to climate-related stress,
with elevated risks for mortality from high temperatures reported for
Black or African American individuals compared to White individuals
after controlling for factors such as air conditioning use. Moreover,
people of color are disproportionately exposed to air pollution based
on where they live, and disproportionately vulnerable due to higher
baseline prevalence of underlying diseases such as asthma, so climate
exacerbations of air pollution are expected to have disproportionate
effects on these communities.
---------------------------------------------------------------------------
\912\ USGCRP, 2016: The Impacts of Climate Change on Human
Health in the United States: A Scientific Assessment. Crimmins, A.,
J. Balbus, J.L. Gamble, C.B. Beard, J.E. Bell, D. Dodgen, R.J.
Eisen, N. Fann, M.D. Hawkins, S.C. Herring, L. Jantarasami, D.M.
Mills, S. Saha, M.C. Sarofim, J. Trtanj, and L. Ziska, Eds. U.S.
Global Change Research Program, Washington, DC, 312 pp. https://dx.doi.org/10.7930/J0R49NQX.
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Native American Tribal communities possess unique vulnerabilities
to climate change, particularly those impacted by degradation of
natural and cultural resources within established reservation
boundaries and threats to traditional subsistence lifestyles. Tribal
communities whose health, economic well-being, and cultural traditions
depend upon the natural environment will likely be affected by the
degradation of ecosystem goods and services associated with climate
change. The IPCC indicates that losses of customs and historical
knowledge may cause communities to be less resilient or adaptable.\913\
The NCA4 noted that while Indigenous peoples are diverse and will be
impacted by the climate changes universal to all Americans, there are
several ways in which climate change uniquely threatens Indigenous
peoples' livelihoods and economies.\914\ In addition, there can
institutional barriers to their management of water, land, and other
natural resources that could impede adaptive measures.
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\913\ Porter et al., 2014: Food security and food production
systems.
\914\ Jantarasami, L.C., R. Novak, R. Delgado, E. Marino, S.
McNeeley, C. Narducci, J. Raymond-Yakoubian, L. Singletary, and K.
Powys Whyte, 2018: Tribes and Indigenous Peoples. In Impacts, Risks,
and Adaptation in the United States: Fourth National Climate
Assessment, Volume II [Reidmiller, D.R., C.W. Avery, D.R.
Easterling, K.E. Kunkel, K.L.M. Lewis, T.K. Maycock, and B.C.
Stewart (eds.)]. U.S. Global Change Research Program, Washington,
DC, USA, pp. 572-603. doi: 10.7930/NCA4.2018.CH15.
---------------------------------------------------------------------------
For example, Indigenous agriculture in the Southwest is already
being adversely affected by changing patterns of flooding, drought,
dust storms, and rising temperatures leading to increased soil erosion,
irrigation water demand, and decreased crop quality and herd sizes. The
Confederated Tribes of the Umatilla Indian Reservation in the Northwest
have identified climate risks to salmon, elk, deer, roots, and
huckleberry habitat. Housing and sanitary water supply infrastructure
are vulnerable to disruption from extreme precipitation events.
NCA4 noted that Indigenous peoples often have disproportionately
higher rates of asthma, cardiovascular disease, Alzheimer's, diabetes,
and obesity, which can all contribute to increased vulnerability to
climate-driven extreme heat and air pollution events. These factors
also may be exacerbated by stressful situations, such as extreme
weather events, wildfires, and other circumstances.
NCA4 and IPCC Fifth Assessment Report also highlighted several
impacts specific to Alaskan Indigenous Peoples. Permafrost thaw will
lead to more coastal erosion, exacerbated risks of winter travel, and
damage to buildings, roads, and other infrastructure--these impacts on
archaeological sites, structures, and objects will lead to a loss of
cultural heritage for Alaska's Indigenous people. In terms of food
security, the NCA4 discussed reductions in suitable ice conditions for
hunting, warmer temperatures impairing the use of traditional ice
cellars for food storage, and declining shellfish populations due to
warming and acidification. While the NCA also noted that climate change
provided more opportunity to hunt from boats later in the fall season
or earlier in the spring, the assessment found that the net impact was
an overall decrease in food security.
In addition, the U.S. Pacific Islands and the indigenous
communities that live there are also uniquely vulnerable to the effects
of climate change due to their remote location and geographic
isolation. They rely on the land, ocean, and natural resources for
their livelihoods, but they face challenges in obtaining energy and
food supplies that need to be shipped in at high costs. As a result,
they face higher energy costs than the rest of the nation and depend on
imported fossil fuels for electricity generation and diesel. These
challenges exacerbate the climate impacts that the Pacific Islands are
experiencing. NCA4 notes that Indigenous peoples of the Pacific are
threatened by rising sea levels, diminishing freshwater availability,
and negative effects to ecosystem services that threaten these
individuals' health and well-being.
2. Non-GHG Impacts
In Section V.B., in addition to GHG emissions impacts, we also
discuss potential additional impacts to emissions of non-GHGs (i.e.,
criteria and air toxic pollutants) that we estimate would result from
compliance with the proposed GHG emission standards. This section
VI.D.2 describes evidence that communities with EJ concerns are
disproportionately impacted by the non-GHG emissions affected by this
rule.
[[Page 26066]]
Numerous studies have found that environmental hazards such as air
pollution are more prevalent in areas where people of color and low-
income populations represent a higher fraction of the population
compared with the general population.915 916 917 Consistent
with this evidence, a recent study found that most anthropogenic
sources of PM2.5, including industrial sources and light-
and heavy-duty vehicle sources, disproportionately affect people of
color.\918\ In addition, compared to non-Hispanic Whites, some other
racial groups experience greater levels of health problems during some
life stages. For example, in 2018-2020, about 12 percent of non-
Hispanic Black; 9 percent of non-Hispanic American Indian/Alaska
Native; and 7 percent of Hispanic children were estimated to currently
have asthma, compared with 6 percent of non-Hispanic White
children.\919\ Nationally, on average, non-Hispanic Black and Non-
Hispanic American Indian or Alaska Native people also have lower than
average life expectancy based on 2019 data, the latest year for which
CDC estimates are available.\920\
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\915\ Rowangould, G.M. (2013) A census of the near-roadway
population: public health and environmental justice considerations.
Trans Res D 25: 59-67. https://dx.doi.org/10.1016/j.trd.2013.08.003.
\916\ Marshall, J.D., Swor, K.R.; Nguyen, N.P (2014)
Prioritizing environmental justice and equality: diesel emissions in
Southern California. Environ Sci Technol 48: 4063-4068. https://doi.org/10.1021/es405167f.
\917\ Marshall, J.D. (2008) Environmental inequality: air
pollution exposures in California's South Coast Air Basin. Atmos
Environ 21: 5499-5503. https://doi.org/10.1016/j.atmosenv.2008.02.005.
\918\ C. W. Tessum, D. A. Paolella, S. E. Chambliss, J. S. Apte,
J. D. Hill, J. D. Marshall, PM2.5 polluters
disproportionately and systemically affect people of color in the
United States. Sci. Adv. 7, eabf4491 (2021).
\919\ https://www.cdc.gov/asthma/most_recent_data.htm.
\920\ Arias, E. Xu, J. (2022) United States Life Tables, 2019.
National Vital Statistics Report, Volume 70, Number 19. [Online at
https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-19.pdf].
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We discuss near-roadway issues in Section VI.D.2.i and upstream
sources in Section VI.D.2.ii.
i. Near-Roadway Analysis
As described in Section VI.B of this preamble, concentrations of
many air pollutants are elevated near high-traffic roadways. We
recently conducted an analysis of the populations within the CONUS
living in close proximity to truck freight routes as identified in
USDOT's FAF4.\921\ FAF4 is a model from the USDOT's Bureau of
Transportation Statistics (BTS) and Federal Highway Administration
(FHWA), which provides data associated with freight movement in the
United States \922\ Relative to the rest of the population, people
living near FAF4 truck routes are more likely to be people of color and
have lower incomes than the general population. People living near FAF4
truck routes are also more likely to live in metropolitan areas. Even
controlling for region of the country, county characteristics,
population density, and household structure, race, ethnicity, and
income are significant determinants of whether someone lives near a
FAF4 truck route.
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\921\ U.S. EPA (2021). Estimation of Population Size and
Demographic Characteristics among People Living Near Truck Routes in
the Conterminous United States. Memorandum to the Docket.
\922\ FAF4 includes data from the 2012 Commodity Flow Survey
(CFS), the Census Bureau on international trade, as well as data
associated with construction, agriculture, utilities, warehouses,
and other industries. FAF4 estimates the modal choices for moving
goods by trucks, trains, boats, and other types of freight modes. It
includes traffic assignments, including truck flows on a network of
truck routes. https://ops.fhwa.dot.gov/freight/freight_analysis/faf/
.
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We additionally analyzed other national databases that allowed us
to evaluate whether homes and schools were located near a major road
and whether disparities in exposure may be occurring in these
environments. Until 2009, the U.S. Census Bureau's American Housing
Survey (AHS) included descriptive statistics of over 70,000 housing
units across the nation and asked about transportation infrastructure
near respondents' homes every two years.923 924 We also
analyzed the U.S. Department of Education's Common Core of Data, which
includes enrollment and location information for schools across the
United States.\925\
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\923\ U.S. Department of Housing and Urban Development, & U.S.
Census Bureau. (n.d.). Age of other residential buildings within 300
feet. In American Housing Survey for the United States: 2009 (pp. A-
1). Retrieved from https://www.census.gov/programs-surveys/ahs/data/2009/ahs-2009-summary-tables0/h150-09.html.
\924\ The 2013 AHS again included the ``etrans'' question about
highways, airports, and railroads within half a block of the housing
unit but has not maintained the question since then.
\925\ https://nces.ed.gov/ccd/.
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In analyzing the 2009 AHS, we focused on whether a housing unit was
located within 300 feet of a ``4-or-more lane highway, railroad, or
airport'' (this distance was used in the AHS analysis).\926\ We
analyzed whether there were differences between households in such
locations compared with those in locations farther from these
transportation facilities.\927\ We included other variables, such as
land use category, region of country, and housing type. We found that
homes with a non-White householder were 22-34 percent more likely to be
located within 300 feet of these large transportation facilities than
homes with White householders. Homes with a Hispanic householder were
17-33 percent more likely to be located within 300 feet of these large
transportation facilities than homes with non-Hispanic householders.
Households near large transportation facilities were, on average, lower
in income and educational attainment and more likely to be a rental
property and located in an urban area compared with households more
distant from transportation facilities.
---------------------------------------------------------------------------
\926\ This variable primarily represents roadway proximity.
According to the Central Intelligence Agency's World Factbook, in
2010, the United States had 6,506,204 km of roadways, 224,792 km of
railways, and 15,079 airports. Highways thus represent the
overwhelming majority of transportation facilities described by this
factor in the AHS.
\927\ Bailey, C. (2011) Demographic and Social Patterns in
Housing Units Near Large Highways and other Transportation Sources.
Memorandum to docket.
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In examining schools near major roadways, we used the Common Core
of Data (CCD) from the U.S. Department of Education, which includes
information on all public elementary and secondary schools and school
districts nationwide.\928\ To determine school proximities to major
roadways, we used a geographic information system (GIS) to map each
school and roadways based on the U.S. Census's TIGER roadway file.\929\
We estimated that about 10 million students attend schools within 200
meters of major roads, about 20 percent of the total number of public
school students in the United States.\930\ About 800,000 students
attend public schools within 200 meters of primary roads, or about 2
percent of the total. We found that students of color were
overrepresented at schools within 200 meters of primary roadways, and
schools within 200 meters of primary roadways had a disproportionate
population of students eligible for free or reduced-price lunches.\931\
Black
[[Page 26067]]
students represent 22 percent of students at schools located within 200
meters of a primary road, compared to 17 percent of students in all
U.S. schools. Hispanic students represent 30 percent of students at
schools located within 200 meters of a primary road, compared to 22
percent of students in all U.S. schools.
---------------------------------------------------------------------------
\928\ https://nces.ed.gov/ccd/.
\929\ Pedde, M.; Bailey, C. (2011) Identification of Schools
within 200 Meters of U.S. Primary and Secondary Roads. Memorandum to
the docket.
\930\ Here, ``major roads'' refer to those TIGER classifies as
either ``Primary'' or ``Secondary.'' The Census Bureau describes
primary roads as ``generally divided limited-access highways within
the Federal interstate system or under state management.'' Secondary
roads are ``main arteries, usually in the U.S. highway, state
highway, or county highway system.''
\931\ For this analysis we analyzed a 200-meter distance based
on the understanding that roadways generally influence air quality
within a few hundred meters from the vicinity of heavily traveled
roadways or along corridors with significant trucking traffic. See
U.S. EPA, 2014. Near Roadway Air Pollution and Health: Frequently
Asked Questions. EPA-420-F-14-044.
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We also reviewed existing scholarly literature examining the
potential for disproportionate exposure among people of color and
people with low socioeconomic status (SES). Numerous studies evaluating
the demographics and socioeconomic status of populations or schools
near roadways have found that they include a greater percentage of
residents of color, as well as lower SES populations (as indicated by
variables such as median household income). Locations in these studies
include Los Angeles, CA; Seattle, WA; Wayne County, MI; Orange County,
FL; and the State of California, and
nationally.932 933 934 935 936 937 938 Such disparities may
be due to multiple factors.939 940 941 942 943
---------------------------------------------------------------------------
\932\ Marshall, J.D. (2008) Environmental inequality: air
pollution exposures in California's South Coast Air Basin. Atmos
Environ 42: 5499-5503. doi:10.1016/j.atmosenv.2008.02.00.
\933\ Su, J.G.; Larson, T.; Gould, T.; Cohen, M.; Buzzelli, M.
(2010) Transboundary air pollution and environmental justice:
Vancouver and Seattle compared. GeoJournal 57: 595-608. doi:10.1007/
s10708-009-9269-6.
\934\ Chakraborty, J.; Zandbergen, P.A. (2007) Children at risk:
measuring racial/ethnic disparities in potential exposure to air
pollution at school and home. J Epidemiol Community Health 61: 1074-
1079. doi:10.1136/jech.2006.054130.
\935\ Green, R.S.; Smorodinsky, S.; Kim, J.J.; McLaughlin, R.;
Ostro, B. (20042004) Proximity of California public schools to busy
roads. Environ Health Perspect 112: 61-66. doi:10.1289/ehp.6566.
\936\ Wu, Y; Batterman, S.A. (2006) Proximity of schools in
Detroit, Michigan to automobile and truck traffic. J Exposure Sci &
Environ Epidemiol. doi:10.1038/sj.jes.7500484.
\937\ Su, J.G.; Jerrett, M.; de Nazelle, A.; Wolch, J. (2011)
Does exposure to air pollution in urban parks have socioeconomic,
racial, or ethnic gradients? Environ Res 111: 319-328.
\938\ Jones, M.R.; Diez-Roux, A.; Hajat, A.; et al. (2014) Race/
ethnicity, residential segregation, and exposure to ambient air
pollution: The Multi-Ethnic Study of Atherosclerosis (MESA). Am J
Public Health 104: 2130-2137. [Online at: https://doi.org/10.2105/AJPH.2014.302135.].
\939\ Depro, B.; Timmins, C. (2008) Mobility and environmental
equity: do housing choices determine exposure to air pollution? Duke
University Working Paper.
\940\ Rothstein, R. The Color of Law: A Forgotten History of How
Our Government Segregated America. New York: Liveright, 2018.
\941\ Lane, H.J.; Morello-Frosch, R.; Marshall, J.D.; Apte, J.S.
(2022) Historical redlining is associated with present-day air
pollution disparities in US Cities. Environ Sci & Technol Letters 9:
345-350. DOI: [Online at: https://doi.org/10.1021/acs.estlett.1c01012].
\942\ Ware, L. (2021) Plessy's legacy: the government's role in
the development and perpetuation of segregated neighborhoods. RSF:
The Russel Sage Foundation Journal of the Social Sciences, 7:92-109.
DOI: DOI: 10.7758/RSF.2021.7.1.06.
\943\ Archer, D.N. (2020) ``White Men's Roads through Black
Men's Homes'': advancing racial equity through highway
reconstruction. Vanderbilt Law Rev 73: 1259.
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Additionally, people with low SES often live in neighborhoods with
multiple stressors and health risk factors, including reduced health
insurance coverage rates, higher smoking and drug use rates, limited
access to fresh food, visible neighborhood violence, and elevated rates
of obesity and some diseases such as asthma, diabetes, and ischemic
heart disease. Although questions remain, several studies find stronger
associations between air pollution and health in locations with such
chronic neighborhood stress, suggesting that populations in these areas
may be more susceptible to the effects of air
pollution.944 945 946 947
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\944\ Clougherty, J.E.; Kubzansky, L.D. (2009) A framework for
examining social stress and susceptibility to air pollution in
respiratory health. Environ Health Perspect 117: 1351-1358.
Doi:10.1289/ehp.0900612.
\945\ Clougherty, J.E.; Levy, J.I.; Kubzansky, L.D.; Ryan, P.B.;
Franco Suglia, S.; Jacobson Canner, M.; Wright, R.J. (2007)
Synergistic effects of traffic-related air pollution and exposure to
violence on urban asthma etiology. Environ Health Perspect 115:
1140-1146. doi:10.1289/ehp.9863.
\946\ Finkelstein, M.M.; Jerrett, M.; DeLuca, P.; Finkelstein,
N.; Verma, D.K.; Chapman, K.; Sears, M.R. (2003) Relation between
income, air pollution and mortality: a cohort study. Canadian Med
Assn J 169: 397-402.
\947\ Shankardass, K.; McConnell, R.; Jerrett, M.; Milam, J.;
Richardson, J.; Berhane, K. (2009) Parental stress increases the
effect of traffic-related air pollution on childhood asthma
incidence. Proc Natl Acad Sci 106: 12406-12411. doi:10.1073/
pnas.0812910106.
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Several publications report nationwide analyses that compare the
demographic patterns of people who do or do not live near major
roadways.948 949 950 951 952 953 Three of these studies
found that people living near major roadways are more likely to be
people of color or of low SES.954 955 956 They also found
that the outcomes of their analyses varied between regions within the
United States. However, only one such study looked at whether such
conclusions were confounded by living in a location with higher
population density and how demographics differ between locations
nationwide.\957\ In general, it found that higher density areas have
higher proportions of low-income residents and people of color. In
other publications assessing a city, county, or state, the results are
similar.958 959
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\948\ Rowangould, G.M. (2013) A census of the U.S. near-roadway
population: public health and environmental justice considerations.
Transportation Research Part D; 59-67.
\949\ Tian, N.; Xue, J.; Barzyk. T.M. (2013) Evaluating
socioeconomic and racial differences in traffic-related metrics in
the United States using a GIS approach. J Exposure Sci Environ
Epidemiol 23: 215-222.
\950\ CDC (2013) Residential proximity to major highways--United
States, 2010. Morbidity and Mortality Weekly Report 62(3): 46-50.
\951\ Clark, L.P.; Millet, D.B., Marshall, J.D. (2017) Changes
in transportation-related air pollution exposures by race-ethnicity
and socioeconomic status: outdoor nitrogen dioxide in the United
States in 2000 and 2010. Environ Health Perspect https://doi.org/10.1289/EHP959.
\952\ Mikati, I.; Benson, A.F.; Luben, T.J.; Sacks, J.D.;
Richmond-Bryant, J. (2018) Disparities in distribution of
particulate matter emission sources by race and poverty status. Am J
Pub Health https://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2017.304297?journalCode=ajph.
\953\ Alotaibi, R.; Bechle, M.; Marshall, J.D.; Ramani, T.;
Zietsman, J.; Nieuwenhuijsen, M.J.; Khreis, H. (2019) Traffic
related air pollution and the burden of childhood asthma in the
continuous United States in 2000 and 2010. Environ International
127: 858-867. https://www.sciencedirect.com/science/article/pii/S0160412018325388.
\954\ Tian, N.; Xue, J.; Barzyk. T.M. (2013) Evaluating
socioeconomic and racial differences in traffic-related metrics in
the United States using a GIS approach. J Exposure Sci Environ
Epidemiol 23: 215-222.
\955\ Rowangould, G.M. (2013) A census of the U.S. near-roadway
population: public health and environmental justice considerations.
Transportation Research Part D; 59-67.
\956\ CDC (2013) Residential proximity to major highways--United
States, 2010. Morbidity and Mortality Weekly Report 62(3): 46-50.
\957\ Rowangould, G.M. (2013) A census of the U.S. near-roadway
population: public health and environmental justice considerations.
Transportation Research Part D; 59-67.
\958\ Pratt, G.C.; Vadali, M.L.; Kvale, D.L.; Ellickson, K.M.
(2015) Traffic, air pollution, minority, and socio-economic status:
addressing inequities in exposure and risk. Int J Environ Res Public
Health 12: 5355-5372. https://dx.doi.org/10.3390/ijerph120505355.
\959\ Sohrabi, S.; Zietsman, J.; Khreis, H. (2020) Burden of
disease assessment of ambient air pollution and premature mortality
in urban areas: the role of socioeconomic status and transportation.
Int J Env Res Public Health doi:10.3390/ijerph17041166.
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Two recent studies provide strong evidence that reducing emissions
from heavy-duty vehicles is extremely likely to reduce the disparity in
exposures to traffic-related air pollutants, both using NO2
observations from the recently launched TROPospheric Ozone Monitoring
Instrument (TROPOMI) satellite sensor as a measure of air quality,
which provides the highest-resolution observations heretofore
unavailable from any satellite.\960\
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\960\ TROPospheric Ozone Monitoring Instrument (TROPOMI) is part
of the Copernicus Sentinel-5 Precursor satellite.
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One study evaluated NO2 concentrations during the COVID-
19 lockdowns in 2020 and compared them to NO2 concentrations
from the same dates in 2019.\961\ That study found that
[[Page 26068]]
average NO2 concentrations were highest in areas with the
lowest percentage of white populations, and that the areas with the
greatest percentages of non-white or Hispanic populations experienced
the greatest declines in NO2 concentrations during the
lockdown. These NO2 reductions were associated with the
density of highways in the local area.
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\961\ Kerr, G.H.; Goldberg, D.L.; Anenberg, S.C. (2021) COVID-19
pandemic reveals persistent disparities in nitrogen dioxide
pollution. PNAS 118. [Online at https://doi.org/10.1073/pnas.2022409118].
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In the second study, NO2 measured from 2018-2020 was
averaged by racial groups and income levels in 52 large U.S.
cities.\962\ Using census tract-level NO2, the study
reported average population-weighted NO2 levels to be 28
percent higher for low-income non-White people compared with high-
income white people. The study also used weekday-weekend differences
and bottom-up emission estimates to estimate that diesel traffic is the
dominant source of NO2 disparities in the studied cities.
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\962\ Demetillo, M.A.; Harkins, C.; McDonald, B.C.; et al.
(2021) Space-based observational constraints on NO2 air
pollution inequality from diesel traffic in major US cities. Geophys
Res Lett 48, e2021GL094333. [Online at https://doi.org/10.1029/2021GL094333].
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Overall, there is substantial evidence that people who live or
attend school near major roadways are more likely to be of a non-White
race, Hispanic, and/or have a low SES. We expect communities near roads
will benefit from the reduced tailpipe emissions of PM, NOX,
SO2, VOC, CO, and mobile source air toxics from heavy-duty
vehicles in this proposal. EPA is considering how to better estimate
the near-roadway air quality impacts of its regulatory actions and how
those impacts are distributed across populations.
ii. Upstream Source Impacts
As described in Section V.B.2, we expect some non-GHG emissions
reductions from sources related to refining petroleum fuels and
increases in emissions from EGUs, both of which would lead to changes
in exposure for people living in communities near these facilities. The
EGU emissions increases become smaller over time because of changes in
the projected power generation mix as electricity generation uses less
fossil fuels; in 2055, the reductions in vehicle and refinery-related
emissions of NOX, VOC, PM2.5, and SO2
are larger than the EGU-related increases. Analyses of communities in
close proximity to EGUs have found that a higher percentage of
communities of color and low-income communities live near these sources
when compared to national averages.\963\ Analysis of populations near
refineries also indicates there may be potential disparities in
pollution-related health risk from that source.\964\
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\963\ See 80 FR 64662, 64915-64916 (October 23, 2015).
\964\ U.S. EPA (2014). Risk and Technology Review--Analysis of
Socio-Economic Factors for Populations Living Near Petroleum
Refineries. Office of Air Quality Planning and Standards, Research
Triangle Park, North Carolina. January.
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E. Economic Impacts
1. Impacts on Vehicle Sales, Fleet Turnover, Mode Shift, Class Shift
and Domestic Production
In this section, we qualitatively discuss the impacts the proposed
regulation may have on HD vehicle sales, including pre-buy and low-buy
decisions, effects on decisions regarding the mode of transportation
used to move goods, possible shifting of purchases between HD vehicle
classes, and possible effects on domestic production of HD vehicles.
Pre-buy occurs when a purchaser pulls ahead a planned future purchase
to make the purchase prior to the implementation of an EPA regulation
in anticipation that a future vehicle may have a higher upfront cost, a
higher operational cost, or have reduced reliability due to the new
regulation. Low-buy occurs when a vehicle that would have been
purchased after the implementation of a regulation is either not
purchased at all, or the purchase is delayed due to the regulation.
Low-buy may occur directly as a function of pre-buy (where a vehicle
was instead purchased prior to implementation of the new regulation),
or due to a vehicle purchaser delaying the purchase of a vehicle due to
cost or uncertainty. Pre- and low-buy are short-term effects, with
research indicating that effects are seen for one year or less before
and after a regulation in implemented.\965\ Pre-buy and low-buy impact
fleet turnover, which can result in a level of emission reduction
attributable to the new emission standards that is different from the
level of emission reduction EPA estimated would be achieved by the new
regulation.
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\965\ See the EPA report ``Analysis of Heavy-Duty Vehicle Sales
Impacts Due to New Regulation'' at https://cfpub.epa.gov/si/si_public_pra_view.cfm?dirEntryID=349838&Lab=OTAQ for a literature
review and EPA analysis of pre-buy and low-buy due to HD
regulations.
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Additional possible, though unlikely, effects of this proposed
regulation include mode shift, class shift and effects on domestic
production. Mode shift would occur if goods that would normally be
shipped by HD vehicle are instead shipped by another method (e.g.,
rail, boat, air) as a result of this action. Class shift occurs when a
vehicle purchaser decides to purchase a different class of vehicle than
originally intended due to the new regulation. For example, a purchaser
may buy a Class 8 vehicle instead of the Class 7 vehicle they may have
purchased in the absence of a regulation. Domestic production could be
affected if the regulation creates incentives for manufacturers to
shift between domestic and foreign production.
i. Vehicle Sales and Fleet Turnover
The proposed emission standards may lead to a change in the timing
of planned vehicle purchases, phenomena known as ``pre-buy'' and ``low-
buy.'' Pre-buy occurs when purchasers of HD vehicles pull their planned
future vehicle purchase forward to the months before a regulation is
implemented compared to when they otherwise would have purchased a new
vehicle in the absence of the regulation. Pre-buy may occur due to
expected cost increases of post-regulation vehicles, or in order to
avoid perceived cost, quality, or other changes associated with new
emission standards. Another reason pre-buy might occur is due to
purchaser beliefs about the availability of their vehicle type of
choice in the post-regulation market. For example, if purchasers think
that they might not be able to get the HD ICE vehicle they want after
the proposed regulation is promulgated, they may pre-buy an ICE
vehicle. Pre-buy, to the extent it might occur, could be mitigated in
multiple ways, including by reducing the higher upfront cost of post-
regulation vehicles, by purchasers considering the lower operational
costs of post-regulation vehicles when making their purchase decision,
or through the phasing in of the proposed standards. With respect to
possible purchaser anxiety over being unable to purchase an ICE vehicle
after promulgation of the proposed regulation, we expect that the
federal vehicle and battery tax credits in the IRA, as well as
purchasers' consideration of the lower operational costs of ZEVs, would
mitigate possible pre-buy by reducing the perceived purchase price or
lifetime operational costs difference of a new, post-rule ZEV compared
to a new pre- or post-rule ICE vehicle. Additionally, pre-buy may be
mitigated by educating purchasers on benefits of ZEV ownership (for
example, reduced operational costs) or on charging and hydrogen
refueling infrastructure technology and
[[Page 26069]]
availability.\966\ Our proposed standards will increase purchaser
exposure to ZEVs, as well as incentivize manufacturers and dealers to
educate HD vehicle purchasers on ZEVs, including the benefits of ZEVs,
accelerating the reduction of purchaser risk aversion. In addition, we
expect recent congessional actions to support ZEV infrastructure and
supply chain, including the CHIPS Act, BIL and IRA, will reduce
uncertainty related to infrastructure.\967\ We note that the proposed
standards do not mandate the use of a specific technology, and EPA
anticipates that a compliant fleet under the proposed standards would
include a diverse range of technologies, including ICE and ZEV
technologies. The phasing-in of the proposed standards, which do not
eliminate any specific technology from the market, would allow ample
time for purchasers to make decisions about their vehicle of choice.
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\966\ For more information on purchaser acceptance of HD ZEVs,
see DRIA Chapter 6.2. For more information on the charging and
hydrogen refueling infrastructure analysis in this proposed rule,
see DRIA Chapter 2.6.
\967\ The CHIPS Act is the Creating Helpful Incentives to
Produce Semiconductors and Science Act and was signed into lay on
August 9, 2022. It is designed to strengthen supply chains, domestic
manufacturing and national security. More information on how all of
these Acts are expected to support opportunities for growth along
the supply chain can be found in the January 2023 White House
publication ``Building a Clean Energy Economy: A Guidebook to the
Inflation Reduction Act's Investments in Clean Energy and Climate
Action.'' found online at https://www.whitehouse.gov/wp-content/uploads/2022/12/Inflation-Reduction-Act-Guidebook.pdf.
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In addition to pre-buy, there is the possibility of ``low-buy''
occurring in response to new regulation. In a low-buy scenario, sales
of HD vehicles would decrease in the months after a regulation becomes
effective, compared to what would have happened in the absence of a
regulation, due to purchasers either pre-buying or delaying a planned
purchase. Low-buy may be directly attributable to pre-buy, where
purchases originally planned for the months following the effective
date of new emission standards are instead purchased in the months
preceding the effective date of the new emission standards. Low-buy may
also be attributable to purchasers delaying the planned purchase of a
new vehicle due to the new emission standards, and may occur for
reasons such as increased costs or uncertainty about the new vehicles.
If pre-buy is smaller than low-buy, to the extent both might occur,
this would lead to a slower fleet turnover, at least in the short
term.\968\ In this scenario, older HD vehicles would remain in use
longer than they would have in the absence of the new emission
standards. This would lead to lower emission reductions than we
estimate would be achieved as a result of the proposed emission
standards. Conversely, if pre-buy is larger than low-buy, short-term
fleet turnover would increase; fleets would, on average, be comprised
of newer model year vehicles. Though these new vehicles are expected to
have lower emissions than the vehicles they are replacing, and emission
reductions would be expected to be larger than under a scenario where
low-buy exceeds pre-buy, emission reductions would still be lower than
we estimated would be achieved as a result of the proposed emission
standards. Under a situation where low-buy matches pre-buy, we would
also expect lower emission reductions than estimated, and emission
reductions would likely be somewhere between the two relative pre-buy/
low-buy scenarios discussed in the previous paragraph. We expect low-
buy, to the extent that it might occur, to be mitigated under the same
circumstances described in this section for pre-buy.
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\968\ Fleet turnover refers to the pace at which new vehicles
are purchased and older vehicles are retired. A slower fleet
turnover means older vehicles are kept on the road longer, and the
fleet is older on average. A faster fleet turnover means that the
fleet is younger, on average.
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Analysis of previously promulgated EPA HD emission standards
indicates that where pre-buy or low-buy has been seen, the magnitude of
these phenomena has been small.\969\ Recent analysis conducted by EPA
of pre-buy and low-buy indicates that pre-buy and low-buy effects
typically occur for up to one year before or one year after a
regulation becomes effective, if pre-buy or low-buy occur at all.\970\
EPA contracted with ERG to complete a literature review of research
estimating HD vehicle sales impacts resulting from HD regulations, and
to conduct original research to estimate the existence and magnitude of
pre-buy and low-buy sales impacts of previous EPA HD regulations.\971\
The resulting analysis examined the effect of four HD regulations
(those that became effective in 2004, 2007, 2010 and 2014) on the sales
of Class 6, 7 and 8 vehicles over the twelve months before and after
each standard. For the purposes of this discussion, we will call these
the 2004 rule, 2007 rule, 2010 rule and 2014 rule. The 2004, 2007 and
2010 rules focused on reducing criteria pollutant emissions from HD
vehicles and engines, and the 2014 rule (the HD GHG Phase 1 rule
promulgated in 2014) focused on reducing GHG emissions from HD vehicles
and engines.\972\ The ERG report found little evidence of pre-buy or
low-buy sales impacts on Class 6 and 7 vehicles for any of the rules.
For Class 8 vehicles, evidence of pre-buy was found for up to eight
months before promulgation of the 2010 rule, as well as for up to one
month prior to promulgation of the 2014 rule. Evidence of low-buy was
found after promulgation of the 2002 (up to six months), 2007 (up to 12
months) and 2010 rules (up to five months). The results of the ERG
report also suggest that the range of possible results include a lower
bound of zero, or no pre-buy or low-buy due to EPA rules.
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\969\ For example, Lam and Bausell (YEAR), Rittenhouse and
Zaragoza-Watkins (YEAR), and an unpublished report by Harrison and
LeBel (2008). For EPA's summary on these studies, see the EPA peer
review cited in the footnote below, or the recently published EPA
Heavy-Duty 2027 rule at Docket ID EPA-HQ-2019-0555.
\970\ ``Analysis of Heavy-Duty Vehicle Sales Impacts Due to New
Regulation.'' At https://cfpub.epa.gov/si/si_public_pra_view.cfm?dirEntryID=349838&Lab=OTAQ.
\971\ ``Analysis of Heavy-Duty Vehicle Sales Impacts Due to New
Regulation.'' At https://cfpub.epa.gov/si/si_public_pra_view.cfm?dirEntryID=349838&Lab=OTAQ.
\972\ The 2004 rule, `Final Rule for Control of Emission of Air
Pollution From Highway Heavy-Duty Engines', was finalized in 1997.
The 2007 and 2010 rules were finalized as phase-ins in the `Final
Rule for Control of Emissions of Air Pollution from 2004 and Later
Model Year Heavy-Duty Highway Engines and Vehicles; Revision of
Light-Duty On-Board Diagnostics Requirements' in 2000. The 2014 GHG
rule, `Final Rule for Phase 1 Greenhouse House Emissions Standards
and Fuel Efficiency Standards for Medium- and Heavy-Duty Engines and
Vehicles,' was finalized in 2011. These rules can be found on the
EPA website https://www.epa.gov/regulations-emissions-vehicles-and-engines/regulations-emissions-commercial-trucks-and-buses-heavy.
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While it is instructive that the ERG report found little to no pre-
buy or low-buy effects due to our HD rules, EPA does not believe the
approach to estimate a change in the sales of HD vehicles before and
after the promulgation of a rule due to the cost of that rule (as was
done in the ERG report) should be used to estimate sales effects from
this proposed rule for three main reasons.\973\ First, as outlined in
the previous paragraph, most of the statistically significant sales
effects in the ERG report were estimated using data from criteria
pollutant rules (the 2002, 2004 and 2007 rules), which are not
appropriate for use in estimating effects from HD GHG rules. This is
because differences in how costs are incurred and benefits are accrued
as a result of HD vehicle criteria pollutant regulations versus HD GHG
regulations
[[Page 26070]]
may lead to differences in how HD vehicle buyers react to a particular
regulation. For example, the 2014 rule \974\ led to reductions in GHG
emissions and had lower associated technology costs compared to the
criteria pollutant rules, and compliance with the GHG regulation was
associated with fuel savings. We also expect fuel savings effects in
this proposal, as described in Section IV. Second, the pre-buy and low-
buy sales effects were estimated as a function of the average change in
cost of a HD vehicle for each vehicle class due to the specific rule
under consideration (for example, the 2007 rule or 2014 rule). However,
unlike criteria pollutant rules, there were multiple pathways to
compliance with 2014 rule, and therefore uncertainty in the price
change due to the rule, which led to uncertainty in the results
estimated using these price changes. Third, the approach outlined in
the ERG report was estimated only using HD ICE vehicle data (i.e., cost
of compliance due to adding technology to a HD ICE engine). The
research and methodology in the ERG report did not include any data
from the production, sale, or purchase of HD ZEVs. For these reasons,
we are not using the method in the ERG report to estimate sales effects
due to this rule. We request comment on data or methods to estimate the
possible effects of this regulation on the sale of HD ICE vehicles and
HD ZEV sales, including potential impacts associated with pre-buy and
low-buy.
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\973\ See the RIA for the HD 2027 rule for an example of how we
might estimate potential impacts of a HD regulation on vehicle
sales, including pre-buy and low-buy using the approach introduced
in the ERG report. 87 FR 17590. March 28, 2022.
\974\ `Final Rule for Phase 1 Greenhouse House Emissions
Standards and Fuel Efficiency Standards for Medium- and Heavy-Duty
Engines and Vehicles' can be found at https://www.epa.gov/regulations-emissions-vehicles-and-engines/final-rule-phase-1-greenhouse-gas-emissions-standards.
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This proposed rulemaking would be expected to lead to reductions in
emissions across the HD vehicle fleet (Section V of this preamble),
though such reductions are expected to happen gradually as the HD fleet
turns over. This is because the fraction of the total HD vehicle fleet
that is new ZEVs would initially be a small portion of the entire HD
market. As more HD ZEVs are sold, and as older HD ICE vehicles are
retired, greater emission reductions are expected to occur. The
emission reductions attributable to each HD segment that would be
affected by this proposed rule would depend on many factors, including
the individual increase in ZEV adoption in each market segment over
time, as well as relative usage, measured in VMT, for a HD ZEV when
compared to a similar HD ICE vehicle. For example, if ZEV uptake occurs
faster than predicted, emission reductions would happen faster than
estimated. If, assuming no change in total fleet VMT, the VMT
attributed to a HD ZEV is less than that of the HD ICE vehicle it is
displacing, emission reductions would happen slower than estimated. In
addition, if pre-buy or low-buy occurs as a result of this proposed
rulemaking, emission reductions would be smaller than anticipated. This
is because, under pre-buy conditions, the pre-bought vehicles will not
be subject to the tighter emission standards, and are less likely to be
ZEVs; however, the pre-bought new vehicles are likely to be less
polluting than the older HD vehicles they are replacing due to more
stringent HD emission standards for new engines and vehicles (if it is
a replacement purchase). Under low-buy, we would expect older, more
polluting, HD vehicles would remain in use longer than they otherwise
would in the absence of new regulation. We expect pre-buy and low-buy
to be very small, if they occur at all. For more information on sales
impacts, see Chapter 6.1.1 of the DRIA. We request comment on data and
methods to estimate possible effects of the proposed emission standards
on fleet turnover and to estimate the VMT of HD ZEVs in comparison to
HD ICE vehicles.
ii. Mode Shift
Another potential, though unlikely, effect of this proposed
regulation may be mode shift. Mode shift would occur if goods that
would normally be shipped by HD vehicle are instead shipped by another
method (e.g., rail, boat, air) as a result of this action. Whether
shippers switch to a different mode of transportation for freight
depends not only on the cost per mile of the shipment (i.e., freight
rate), but also the value of the shipment, the speed of transport
needed for shipment (for example, for non-durable goods), and the
availability of supporting infrastructure (e.g., rail lines, highways,
waterways). Shifting from HD vehicles to other modes of transportation
may occur if the cost of shipping goods by HD vehicles increases
relative to other modes of transport, and it is feasible to switch the
shipment from truck to another mode of transport. Chapter 3.3 of the
DRIA and Section IV.D of this preamble discuss the estimated decrease
in operational costs of this proposed rule, mainly due to the increase
in the share of ZEVs in the on-road HD fleet. Because the effects of
this proposed action are expected to reduce operational costs for
trucks, we do not think mode shift would be a likely outcome of this
proposed regulation.\975\ We are asking for comment on data and methods
to estimate possible effects of the proposed emission standards on mode
shift. For more information on mode shift, see Chapter 6.1.2 of the
DRIA.
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\975\ If manufacturers comply by adding technology to ICE
vehicles, we would also expect to see reduced operational costs
through reduced fuel consumption.
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iii. Class Shift
Class shift is also a possible effect of this proposed rule. Class
shift would occur if purchasers shift their purchases from one class of
vehicle to another class of vehicle due to differences in cost among
vehicle types. We expect that class shifting, if it does occur, would
be limited. The proposed emission standards are projected to lead to an
increase in the incremental cost per vehicle for many classes of
vehicles across both vocational vehicles and tractor categories before
accounting for the IRA vehicle and battery tax credits. After
accounting for these credits, our estimates show that this upfront
increase in cost is reduced, and in fact, we estimate that some
vocational vehicles and tractor ZEVs have lower or equivalent upfront
costs compared to comparable ICE vehicles. For more information, see
Preamble Section IV.D or DRIA Chapter 3.4. Furthermore, the upfront
costs for vocational vehicles and tractors would be offset by
operational cost savings.
Another reason EPA believes class shift would be limited, if it
occurs, is that HD vehicles are typically configured and purchased to
perform a specific function. For example, a concrete mixer is purchased
to transport concrete, or a combination tractor is purchased to move
freight with the use of a trailer. In addition, a purchaser in need of
a specific vocational vehicle, such as a bus, box truck or street
sweeper, would not be able to shift the purchase to a vehicle with a
less stringent emission standard (such as the optional custom chassis
standards for emergency vehicles, recreational vehicles, or mixed use
(nonroad) type vehicles) and still meet their needs. The purchaser
makes decisions based on many attributes of the vehicle, including the
gross vehicle weight rating or gross combined weight rating of the
vehicle, which in part determines the amount of freight or equipment
that can be carried. Due to this, it may not be feasible for purchasers
to switch to other vehicle classes. If a limited amount of shifting
were to occur, we would expect negligible emission impacts (compared
[[Page 26071]]
to those emission reductions estimated to occur as a result of the
proposed emission standards) because the vehicle classes that would be
feasibly `switched' are all subject to this proposed rule. We request
comment on data or methods to estimate the effect the proposed emission
standards might have on class shifting.
iv. Domestic Production
The proposed emission standards are not expected to provide
incentives for manufacturers to shift between domestic and foreign
production. This is because the emission standards apply to vehicles
sold in the United States regardless of where such vehicles are
produced. If foreign manufacturers already have increased expertise in
satisfying the requirements of the emission standards, there may be
some initial incentive for foreign production. However, given
increasing global interest in reducing vehicle emissions, specifically
through the use of ZEVs, as domestic manufacturers produce vehicles
with reduced emissions, including ZEVs, the opportunity for domestic
manufacturers to sell in other markets might increase. To the extent
that the proposed emission standards might lead to application and use
of technologies that other countries may seek now or in the future,
developing this capacity for domestic producers now may provide some
additional ability to serve those markets.
As discussed in Preamble Section 1.C, and DRIA Chapter 1, the IRA
contains tax credit incentives that are impacted by the location of
production and may encourage domestic production of ZEV vehicles or
components. A portion of these tax incentives are included in our cost
analysis for the proposed rule, as describe in Section IV, and DRIA
Chapter 3. We request comment on whether our standards would impact the
domestic production of HD vehicle components.
2. Purchaser Acceptance
We expect this proposed rule to lead to an increase in the adoption
of HD BEVs and FCEVs for most HD vehicle types beginning in MY 2027
(see Section II of this preamble or DRIA Chapter 2 for details).
Businesses that operate HD vehicles are under competitive pressure to
reduce operating costs, which should encourage purchasers to identify
and rapidly adopt new vehicle technologies that reduce operating costs.
As outlays for labor and fuel generally constitute the two largest
shares of HD vehicle operating costs, depending on the price of fuel,
distance traveled, type of HD vehicle, and commodity transported (if
any), businesses that operate HDVs face strong incentives to reduce
these costs.976 977 As explained in Section IV and Chapter 3
of the DRIA, though HD ZEVs in general have higher upfront costs than
comparable ICE vehicles, our costs analysis shows that the incremental
upfront cost difference between a ZEV and a comparable ICE vehicle
would be partially or fully offset by a combination of the federal
vehicle tax credit and battery tax credit for HD ZEVs that are
available through MY 2032 and operational savings.\978\ For the vehicle
types for which we propose new CO2 emission standards, we
expect that the ZEVs will have a lower total cost of ownership when
compared to a comparable ICE vehicle (even after considering the
upfront cost of purchasing the associated EVSE for a BEV), due to the
expected cost savings in fuel, maintenance, and repair over the life of
the HD ZEV when compared to comparable ICE vehicle. See Section IV of
this preamble and Chapter 3 of the DRIA for more information on the
estimated costs of this proposed rule.
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\976\ American Transportation Research Institute, An Analysis of
the Operational Costs of Trucking, September 2013. Docket ID: EPA-
HQ-OAR-2014-0827-0512.
\977\ Transport Canada, Operating Cost of Trucks, 2005. Docket
ID: EPA-HQ-OAR-2014-0827-0070.
\978\ For more information on the Federal tax credits, see
Section I.C.
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In DRIA Chapter 6.2, we discuss the possibility that an ``energy
efficiency gap'' or ``energy paradox'' has existed, where available
technologies that would reduce the total cost of ownership for the
vehicle (when evaluated over their expected lifetimes using
conventional discount rates) have not been widely adopted, or the
adoption is relatively slow, despite their potential to repay buyers'
initial investments rapidly. We recognize that there are factors that
may impact adoption of HD ZEVs, including uncertainty related to the
technology and supporting infrastructure, as well as incentives created
by this proposed rule for manufacturers to develop ZEV technology and
educate purchasers.
We expect that adoption rates of HD ZEVs will be impacted by buyers
taking advantage of existing incentives, specifically the IRA vehicle
tax credit and battery tax credit, as well as the extent to which
buyers consider the cost savings of purchasing a ZEV over a HD ICE
vehicle in their purchase decision, mainly observed through operational
cost savings. We expect purchasing decisions would also be affected by
purchasers' impressions of charging infrastructure support and
availability, perceptions of the comparisons of quality and durability
of the different HD powertrains, and resale value of the vehicle.
The availability of existing incentives, specifically the Federal
purchaser and battery manufacturing tax credits in the IRA, is expected
to lead to lower upfront costs for purchasers of HD ZEVs than would
otherwise occur.\979\ We expect this will result in a higher ZEV
adoption rate than would otherwise exist absent such incentives. In
addition, as purchasers consider more of the operational cost savings
of a ZEV over a comparable ICE vehicle in their purchase decision, the
smaller the impact of the higher upfront costs for purchasers of a ZEV
compared to an ICE vehicle has on that decision, and purchasers are
more likely to purchase a ZEV. We note that ZEVs may not be purchased
at the rates estimated in the analysis for this proposed rule. They may
be smaller if purchasers do not consider the full, or even a portion
of, value of operational cost savings, which may happen due to
uncertainty, e.g., uncertainty about future fuel prices. Additionally,
this may occur if a principal-agent problem exists, causing split
incentives.\980\ A principal-agent problem would exist if truck
operators (agents) and truck purchasers who are not also operators
(principals) value operational cost savings differently (split
incentives), which could lead to differences in purchase decisions
between truck operators and truck purchasers. For example, a HD vehicle
purchaser may not be directly responsible for the future fuel costs of
the vehicle they purchase, or the person who would be responsible for
those fuel costs may not be involved in the purchase decision. In this
case, truck operators may place a higher value on the potential savings
in operational costs over the lifetime of a vehicle and give less
weight to the increase in upfront cost that may be associated with a
ZEV purchase, whereas a truck purchaser may weigh higher upfront costs
more heavily than possible operational cost savings. Such potential
split incentives, or market failures, could lead to lower ZEV adoption
rates than we are estimating in this proposal, which may reduce the
non-GHG environmental benefits of the proposed emission standards due
to lower non-
[[Page 26072]]
GHG emission reductions than estimated in this proposal. Other examples
of this might include if a purchaser values charging or fueling
infrastructure, either the cost of installation or the availability,
differently than the operator. The direction of the effect in this case
would depend on who was responsible for the cost of the infrastructure
installation, or who places more value on the availability of
widespread infrastructure.
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\979\ Note that the incentives exist in the baseline and under
the scenario with our proposed standards.
\980\ A principal-agent problem happens when there is a conflict
in priorities (split incentives) between a ``principal,'' or the
owner of an asset, and an ``agent,'' or the the person to whom
control of the asset has been delegated, such as a manager or HD
vehicle operator.
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Uncertainty about ZEV technology, charging infrastructure
technology and availability for BEVs, or hydrogen refueling
infrastructure for FCEVs, may affect ZEV adoption rates. As ZEVs become
increasingly more affordable and ubiquitous, we expect uncertainty
related to these technologies will diminish over time. As uncertainty
related to these technologies decreases, it may lead to higher rates of
ZEV adoption that estimated. In addition, ZEVs may be purchased at
higher rates than estimated in the analysis if, for example, ZEV costs
decrease faster than expected, or due to increasing commitments from
fleet owners or operators to purchase ZEVs.
We expect that the Federal vehicle and battery tax credits in the
IRA, as well as purchasers' consideration of the lower operational
costs of ZEVs, would mitigate any possible pre-buy by reducing the
perceived purchase price or lifetime operational costs difference of a
new, post-rule ZEV compared to a new pre- or post-rule ICE vehicle. We
expect this would increase purchaser willingness to purchase a new ZEV.
When purchasers are educated on charging or refueling infrastructure
technology and availability, both as it stands at the time of possible
purchase, as well as plans for future availability, uncertainty related
to operating a new ZEV decreases.
EPA recognizes that there is uncertainty related to ZEVs that may
impact the adoption of this technology even though it reduces operating
costs. Markets for both new and used HD vehicles may face these
problems, although it is difficult to assess empirically the degree to
which they do. We expect the proposed Phase 3 standards, if finalized,
will help overcome such barriers by incentivizing the development of
ZEV technologies and the education of HD vehicle purchasers on ZEV
benefits and infrastructure.
We request comment and data on acceptance of HD ZEVs.
3. VMT Rebound
Historically, the ``rebound effect'' has been interpreted as more
intensive vehicle use, resulting in an increase in liquid fuel in
response to increased ICE vehicle fuel efficiency. Although much of
this possible vehicle use increase is likely to take the form of an
increase in the number of miles vehicles are driven, it can also take
the form of an increase in the loaded operating weight of a vehicle or
altering routes and schedules in response to improved fuel efficiency.
More intensive use of those HD ICE vehicles consumes fuel and generates
emissions, which reduces the fuel savings and avoided emissions that
would otherwise be expected to result from increasing fuel efficiency
of HD ICE vehicles.
Unlike the LD vehicle rebound effect, there is little published
literature on the HD vehicle rebound effect, and all of it focuses on
the rebound effect due to increased ICE fuel efficiency. Winebrake et
al. (2015) suggests that vocational trucks and tractor trailers have a
rebound effect of essentially zero. Leard et al. (2015) estimate that
tractor trailers have a rebound effect of 30 percent, while vocational
vehicles have a 10 percent rebound rate.\981\ Patwary et al. (2021)
estimated that the average rebound effect of the U.S. road freight
sector is between about 7 to 9 percent, although their study indicated
that rebound has increased over time.\982\ This is slightly smaller
than the value found by Leard et al. (2015) for the similar sector of
tractors. We do not have data that operational cost savings of
switching from an ICE vehicle to a ZEV will affect the VMT driven of
that vehicle, nor do we have data on how changing fuel prices might
affect VMT of ZEVs over time. Given the increasing penetration of ZEVs
in the HD fleet, and the estimated increase over the time frame of this
proposed rule, we do not believe the rebound estimates in literature
cited here are appropriate for use in our analysis. Therefore, we are
not estimating any VMT rebound due to this rule. We request comment on
the VMT response of HD ICE vehicles and HD ZEVs due to this rule,
including the response of increasing efficiency within ICE vehicles, as
well as the response to switching from an ICE vehicle to a ZEV. We
request comment and data on the rebound assumptions for HD ICE vehicles
and HD ZEVs.
---------------------------------------------------------------------------
\981\ Leard, B., Linn, J., McConnell, V., and Raich, W. (2015).
Fuel Costs, Economic Activity, and the Rebound Effect for Heavy-Duty
Trucks. Resources For the Future Discussion Paper, 14-43.
\982\ Patwary, A. L., Yu, T. E., English, B.C., Hughes, D. W.,
and Cho, S. H. (2021). Estimating the rebound effect of the US road
freight transport. Transportation Research Record, 2675(6), 165-174.
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4. Employment Impacts
Economic theories of labor demand indicate that employers affected
by environmental regulation may change their demand for different types
of labor in different ways, increasing demand for some types,
decreasing demand for other types, or not changing it at all for still
other types. A variety of conditions can affect employment impacts of
environmental regulation, including baseline labor market conditions
and employer and worker characteristics such as industry and region. A
growing body of literature has examined employment effects of
environmental regulation. Morgenstern et al. decompose the labor
consequences in a regulated industry facing increased abatement
costs.\983\ This study identifies three separate components of labor
demand effects. First, there is a demand effect caused by higher
production costs, which in turn, results in increased market prices.
Increased market prices reduce consumption (and production), thereby
reducing demand for labor within the regulated industry. Second, there
is a cost effect. As production costs increase, manufacturing plants
use more of all inputs, including labor, to produce the same level of
output. Third, there is a factor-shift effect, which occurs when post-
regulation production technologies may have different labor intensities
than pre-regulation production technologies.\984\
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\983\ Morgenstern, R.D.; Pizer, W.A.; and Shih, J.-S. ``Jobs
Versus the Environment: An Industry-Level Perspective.'' Journal of
Environmental Economics and Management 43: 412-436. 2002.
\984\ Additional literature using similar frameworks include
Berman and Bui (2001) and Desch[ecirc]nes (2018). For more
information on this literature, see the Chapter 10 of the RIA for
the HD2027 rule, found at Docket ID EPA-HQ-OAR-2019-0055.
---------------------------------------------------------------------------
Due to a lack of data, we are not able to estimate employment
effects from this proposed rule. The overall effect of the proposed
rule on employment in the heavy-duty vehicle manufacturing sector
depends on the relative magnitude of factor-shift, cost, and demand
effects, as well as possible differences in employment related to HD
ICE and ZEV manufacturing. As markets shift to HD ZEVs, employment
needs will shift as well. In Chapter 6.4.2 of the DRIA, we show that
the amount of labor per million dollars in sales in motor vehicle
manufacturing sectors has generally declined over time, indicating that
fewer people have been needed to produce the same value of goods. For
example, in 1997, motor vehicle body and trailer manufacturing employed
[[Page 26073]]
almost 3.4 employees per million dollars in sales. This fell to almost
2.7 in 2021. In the electrical equipment manufacturing sector, which is
involved in the production of EVs, employment has increased from almost
2.3 to almost 2.7 per million dollars from 2007 to 2021. The
International Union, United Automobile, Aerospace and Agricultural
Implement Workers of America (UAW) states that re-training programs
will be needed to support auto workers in a market with an increasing
share of electric vehicles in order to prepare workers that might be
displaced by the shift to the new technology.\985\ Volkswagen states
that labor requirements for ICE vehicles are about 70 percent higher
than their electric counterpart, but these changes in employment
intensities in the manufacturing of the vehicles can be offset by
shifting to the production of new components, for example batteries or
battery cells.\986\ Climate Nexus indicates that transitioning to
electric vehicles will lead to a net increase in jobs, a claim that is
partially supported by the rising investment in batteries, vehicle
manufacturing and charging stations.\987\ Though most of these
statements are specifically referring to light-duty vehicles, they hold
true for the HD market as well. The expected investment mentioned by
Climate Nexus is also supported by recent Federal investment which will
allow for increased investment along the vehicle supply chain,
including domestic battery manufacturing, charging infrastructure, and
vehicle manufacturing, both in the LD and HD markets.\988\ This
investment includes the BIL, the CHIPS Act,\989\ and the IRA, which are
expected to create domestic employment opportunities along the full
automotive sector supply chain, from components and equipment
manufacturing and processing to final assembly, as well as incentivize
the development of reliable EV battery supply chains.\990\ For example,
the IRA is expected to impact domestic employment through conditions on
eligibility for purchase incentives and battery manufacturing
incentives. These conditions include contingencies for domestic
assembly, domestic critical materials production, and domestic battery
manufacturing. The BlueGreen Alliance and the Political Economy
Research Institute estimate that IRA will create over 9 million jobs
over the next decade, with about 400,000 of those jobs being attributed
directly to the battery and fuel cell vehicle provisions in the
act.\991\ In addition, the IRA is expected to lead to increased demand
in ZEVs through tax credits for purchasers of ZEVs.
---------------------------------------------------------------------------
\985\ More information on UAW's comments can be found in the
white paper ``Making EVs work for American workers'' found at
https://uaw.org/wp-content/uploads/2019/07/190416-EV-White-Paper-REVISED-January-2020-Final.pdf.
\986\ Herrmann, F., Beinhauer, W., Borrmann, D., Hertwig, M.,
Mack, J., Potinecke, T., Praeg, C., Rally, P. 2020. Effects of
Electric Mobility and Digitlaisation on the Quality and Quantity of
Employment at Volkswagen. Fraunhofer Institute for Industrial
Engineering IAO. Study on behalf of the Sustainability Council of
the Volkswagen Group. https://www.volkswagenag.com/presence/stories/2020/12/frauenhofer-studie/6095_EMDI_VW_Summary_um.pdf.
\987\ See the report from Climate Nexus at https://climatenexus.org/climate-issues/energy/ev-job-impacts/.
\988\ See Preamble Section I for information on the BIL and IRA
provisions relevant to vehicle electrification, and the associated
infrastructure.
\989\ The CHIPS Act is the Creating Helpful Incentives to
Produce Semiconductors and Science Act and was signed into lay on
August 9, 2022. It is designed to strengthen supply chains, domestic
manufacturing and national security. More information can be found
at https://www.whitehouse.gov/briefing-room/statements-releases/2022/08/09/fact-sheet-chips-and-science-act-will-lower-costs-create-jobs-strengthen-supply-chains-and-counter-china/.
\990\ More information on how these acts are expected to aid
employment growth and create opportunities for growth along the
supply chain can be found in the January, 2023 White House
publication ``Building a Clean Energy Economy: A Guidebook to the
Inflation Reduction Act's Investments in Clean Energy and Climate
Action.'' found online at https://www.whitehouse.gov/wp-content/uploads/2022/12/Inflation-Reduction-Act-Guidebook.pdf.
\991\ Political Economy Research Institute. (2022). Job Creation
Estimates Through Proposed Inflation Reduction Act. University of
Massachusetts Amherst. Retrieved from https://www.bluegreenalliance.org/site/9-million-good-jobs-from-climate-action-the-inflation-reduction-act.
---------------------------------------------------------------------------
The factor-shift effect on employment reflects potential employment
changes due to changes in labor intensity of production resulting from
compliance activities. The proposed standards do not mandate the use of
a specific technology, and EPA anticipates that a compliant fleet under
the proposed standards would include a diverse range of technologies
including ICE and ZEV technologies. In our assessment that supports the
appropriateness and feasibility of the proposed standards, we developed
a technology pathway that could be used to meet each of the standards,
which project the increased ZEV adoption rates. ZEVs and ICE vehicles
require different inputs and have different costs of production, though
there are some common parts as well. There is little research on the
relative labor intensity needs of producing a HD ICE vehicle versus
producing an equivalent HD ZEV. Though there are some news articles and
research from the light-duty motor vehicle market, they do not provide
a clear indication of the relationship between employment needs for
ZEVs and ICE vehicles. Some studies find that LD BEVs are less complex,
requiring fewer person-hours to assemble than an equivalent ICE
vehicle.\992\ Others find that there is not a significant difference in
the employment needed to produce ICE vehicles when compared to
ZEVs.\993\ We do not have data on employment differences in traditional
ICE manufacturing sectors and ZEV manufacturing sectors, especially for
expected effects in the future, nor do we have data on the employment
needed for the level of battery production we anticipate will be
required to meet future HD ZEV demand. We request comment on data
concerning the potential employment impacts of HD component and vehicle
manufacturing of ZEVs, including batteries.
---------------------------------------------------------------------------
\992\ Barret, J. and Bivens, J. (2021). The stakes for workers
in how policymakers manage the coming shift to all-electric
vehicles. Economic Policy Institute. https://www.epi.org/publication/ev-policy-workers.
\993\ Kupper, D., Kuhlmann, K., Tominaga, K., Arora, A.,
Schlageter, J.. (2020). Shifting Gears in Auto Manufacturing.
https://www.bcg.com/publications/2020/transformative-impact-of-electric-vehicles-on-auto-manufacturing.
---------------------------------------------------------------------------
The demand effect reflects potential employment changes due to
changes in new HD vehicle sales. If HD ICE vehicle sales decrease,
fewer people would be needed to assemble trucks and the components used
to manufacture them. On the other hand, if HD ZEV sales increase, more
people would be needed to assemble HD ZEVs and their components,
including batteries. Additional, short-term, effects might be seen if
pre-buy or low-buy were to occur. If pre-buy occurs, HD vehicle sales
may increase temporarily, leading to temporary increases in employment
in the related manufacturing sectors. If low-buy occurs, there may be
temporary decreases in employment in the manufacturing sectors related
to HD vehicles.
The cost effect reflects the potential impact on employment due to
increased costs from adopting technologies needed for vehicles to meet
the new emission standards. In the HD ICE vehicle manufacturing sector,
if firms invest in lower emitting HD ICE vehicles, we would expect
labor to be used to implement those technologies. We do not expect the
rule to require compliance activities in the production of ZEVs, as
these vehicles, by definition, emit zero emissions. In addition, though
the proposed standards do not mandate the use of a specific technology,
and EPA anticipates that a compliant fleet
[[Page 26074]]
under the proposed standards would include a diverse range of
technologies including ICE and ZEV technologies, in our assessment that
supports the appropriateness and feasibility of the proposed standards,
we developed a technology pathway that could be used to meet each of
the standards, which project increased ZEV adoption rates. Therefore,
we expect little cost effect on employment due to this rule.
We request comment on data and methods that could be used to
estimate the potential effects of this action on employment in HD
vehicle manufacturing sectors, and on how increasing electrification in
the HD market in general, might impact employment in HD manufacturing
sectors, both for ICE powertrains as well as electrified powertrains.
We request comment on data and methods to estimate possible effects of
the proposed emission standards on employment in the HD ICE and ZEVs
manufacturing markets.
As the share of ZEVs in the HD market increases, there may also be
effects on employment in the associated BEV charging and hydrogen
refueling infrastructure industries. These impacts may occur in several
ways, including through greater demand for charging and fueling
infrastructure to support more ZEVs, leading to more private and public
charging and fueling facilities being constructed, or through greater
use of existing facilities, which can lead to increased maintenance
needs for those facilities. We request comment on data and methods that
could be used to estimate the effect of this action on the HD BEV
vehicle charging infrastructure industry.
Because of the diversity of the HD vehicle market, we expect that
entities from a wide range of transportation sectors would purchase
vehicles subject to the proposed emission standards. HD vehicles are
typically commercial in nature, and typically provide an ``intermediate
good,'' meaning that such vehicles are used to provide a commercial
service (transporting goods, municipal service vehicles, etc.), rather
than serving as final consumer goods themselves (as most light-duty
vehicles do). As a result, the purchase price of a new HD vehicle
likely impacts the price of the service provided by that vehicle. If
lifetime operational cost savings, or purchase incentives (as might be
available for a new ZEV), are not accounted for in the prices for
services provided by the new vehicles, this may result in higher prices
for the services provided by these vehicles compared to the same
services provided by a pre-regulation vehicle, and potentially reduce
demand for the services such vehicles provide. In turn, there may be
less employment in the sectors providing such services. On the other
hand, if these cost savings are passed on to consumers through lower
prices for services provided, it may lead to an increase in demand for
those services, and therefore may lead to an increase in employment in
those sectors providing those services. We expect that the actual
effects on demand for the services provided by these vehicles and
related employment would depend on cost pass-through, as well as
responsiveness of demand to increases in transportation cost, should
such increases occur.\994\
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\994\ Cost pass-through refers to the amount of increase in up-
front cost incurred by the HD vehicle owner that is then passed on
to their customers in the form of higher prices for services
provided by the HD vehicle owner.
---------------------------------------------------------------------------
This action may also produce employment effects in other sectors,
for example, in firms providing fuel. While reduced fuel consumption
represents cost savings for purchasers of fuel, it could also represent
a loss in value of output for the petroleum refining industry, which
could result in reduced employment in that sector. Because the
petroleum refining industry is material-intensive, and EPA estimates
the reduction in fuel consumption will be mainly met by reductions in
oil imports (see Section VI.F), the employment effect is not expected
to be large.
This proposed action could also provide some positive impacts on
driver employment in the heavy-duty trucking industry. As discussed in
Section IV, the reduction in fuel costs from purchasing a ZEV instead
of an ICE vehicle would be expected to not only reduce operational
costs for ZEV owners and operators, compared to an ICE vehicle, but may
also provide additional incentives to purchase a HD ZEV over a HD ICE
vehicle. For example, in comments submitted as part of the recent HD
2027 proposal, the Zero Emission Transportation Association stated that
driver satisfaction due to ``a smoother ride with minimal vibrations,
less noise pollution, and a high-tech driving experience free from the
fumes of diesel exhaust'' has the possibility of decreasing truck
driver shortages and increasing driver retention.
F. Oil Imports and Electricity and Hydrogen Consumption
The proposed standards would reduce not only GHG emissions but also
liquid fuel consumption (i.e., oil consumption) while simultaneously
increasing electricity and hydrogen consumption. Reducing liquid fuel
consumption is a significant means of reducing GHG emissions from the
transportation sector. As discussed in Section V and DRIA Chapter 4, we
used an updated version of EPA's MOVES model to estimate the impact of
the proposed standards on heavy-duty vehicle emissions, fuel
consumption, and electricity consumption. In Chapter 6.5 of the DRIA,
we present fossil fuel--diesel, gasoline, CNG--consumption impacts.
Table 6-1 in Chapter 6 of the DRIA shows the estimated reduction in
U.S. oil imports under the proposed standards relative to the reference
case scenario. This proposal is projected to reduce U.S. oil imports
4.3 billion gallons through 2055. The oil import reductions are the
result of reduced consumption (i.e., reduced liquid fuel demand) of
both diesel fuel and gasoline and our estimate that 86.4 percent of
reduced liquid fuel demand results in reduced imports.\995\ DRIA Table
6-1 also includes the projected increase in electricity and hydrogen
consumption due to the proposed rule.
---------------------------------------------------------------------------
\995\ To estimate the 86.4 percent import reduction factor, we
look at changes in U.S. crude oil imports/exports and net refined
petroleum products in the AEO 2022 Reference Case, Table 11.
Petroleum and Other Liquids Supply and Disposition, in comparison to
the Low Economic Growth Case from the AEO 2022. See the spreadsheet,
``Low vs Reference case impact on Imports 2022 AEO.xlsx''.
---------------------------------------------------------------------------
VII. Benefits of the Proposed Program
A. Social Cost of GHGs
EPA estimated the climate benefits for the proposed standards using
measures of the social cost of three GHGs: Carbon, Methane, and Nitrous
oxide. The social cost of each gas (i.e., the social cost of carbon
(SC-CO2), methane (SC-CH4), and nitrous oxide
(SC-N2O)) is the monetary value of the net harm to society
associated with a marginal increase in emissions in a given year, or
the benefit of avoiding such an increase. Collectively, these values
are referenced as the ``social cost of greenhouse gases'' (SC-GHG). In
principle, SC-GHG includes the value of all climate change impacts,
including (but not limited to) changes in net agricultural
productivity, human health effects, property damage from increased
flood risk and natural disasters, disruption of energy systems, risk of
conflict, environmental migration, and the value of ecosystem services.
The SC-GHG, therefore, reflects the societal value of reducing
emissions of the gas in question by one metric ton and is the
theoretically appropriate value to use in conducting benefit-cost
analyses of policies that affect GHG emissions. EPA and other Federal
agencies began regularly incorporating SC-GHG estimates in their
benefit-cost analyses conducted under Executive
[[Page 26075]]
Order (E.O.) 12866 \996\ since 2008, following a Ninth Circuit Court of
Appeals remand of a rule for failing to monetize the benefits of
reducing CO2 emissions in a rulemaking process.
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\996\ Benefit-cost analyses have been an integral part of
executive branch rulemaking for decades. Presidents since the 1970s
have issued executive orders requiring agencies to conduct analysis
of the economic consequences of regulations as part of the
rulemaking development process. E.O. 12866, released in 1993 and
still in effect today, requires that for all regulatory actions that
are significant under 3(f)(1), an agency provide an assessment of
the potential costs and benefits of the regulatory action, and that
this assessment include a quantification of benefits and costs to
the extent feasible.''
---------------------------------------------------------------------------
We estimate the global social benefits of CO2,
CH4, and N2O emission reductions expected from
the proposed rule using the SC-GHG estimates presented in the February
2021 Technical Support Document (TSD): Social Cost of Carbon, Methane,
and Nitrous Oxide Interim Estimates under E.O. 13990 (IWG 2021). These
SC-GHG estimates are interim values developed under E.O. 13990 for use
in benefit-cost analyses until updated estimates of the impacts of
climate change can be developed based on the best available climate
science and economics. We have evaluated the SC-GHG estimates in the
TSD and have determined that these estimates are appropriate for use in
estimating the global social benefits of CO2, CH4, and N2O
emission reductions expected from this proposed rule. After considering
the TSD, and the issues and studies discussed therein, EPA finds that
these estimates, while likely an underestimate, are the best currently
available SC-GHG estimates. These SC-GHG estimates were developed over
many years using a transparent process, peer-reviewed methodologies,
the best science available at the time of that process, and with input
from the public. As discussed in Chapter 7 of the DRIA, these interim
SC-GHG estimates have a number of limitations, including that the
models used to produce them do not include all of the important
physical, ecological, and economic impacts of climate change recognized
in the climate-change literature and that several modeling input
assumptions are outdated. As discussed in the February 2021 TSD, the
Interagency Working Group on the Social Cost of Greenhouse Gases (IWG)
finds that, taken together, the limitations suggest that these SC-GHG
estimates likely underestimate the damages from GHG emissions. The IWG
is currently working on a comprehensive update of the SC-GHG estimates
(under E.O. 13990) taking into consideration recommendations from the
National Academies of Sciences, Engineering and Medicine, recent
scientific literature, public comments received on the February 2021
TSD and other input from experts and diverse stakeholder groups. The
EPA is participating in the IWG's work. In addition, while that process
continues, EPA is continuously reviewing developments in the scientific
literature on the SC-GHG, including more robust methodologies for
estimating damages from emissions, and looking for opportunities to
further improve SC-GHG estimation going forward. Most recently, EPA has
developed a draft updated SC-GHG methodology within a sensitivity
analysis in the regulatory impact analysis of EPA's November 2022
supplemental proposal for oil and gas standards that is currently
undergoing external peer review and a public comment process. See
Chapter 7 of the DRIA for more discussion of this effort.
We monetize benefits of the proposed standards and evaluate other
costs in part to better enable a comparison of costs and benefits
pursuant to E.O. 12866, but we recognize that there are benefits that
we are currently unable to fully quantify. EPA's consistent practice
has been to set standards to achieve improved air quality consistent
with CAA section 202 and not to rely on cost-benefit calculations, with
their uncertainties and limitations, in identifying the appropriate
standards. Nonetheless, our conclusion that the estimated benefits
considerably exceed the estimated costs of the proposed program
reinforces our view that the proposed standards represent an
appropriate weighing of the statutory factors and other relevant
considerations.
Table VII-1 presents the estimated annual, undiscounted climate
benefits of reduced GHG emissions, and consequently the annual
quantified benefits (i.e., total GHG benefits), for each of the four
interim social cost of GHG (SC-GHG) values estimated by the interagency
working group for the stream of years beginning with the first year of
rule implementation, 2027, through 2055 for the proposed program. Also
shown are the present values (PV) and equivalent annualized values
(EAV) associated with each of the four interim SC-GHG values. As
discussed in the DRIA Chapter 7, there are some limitations to the SC-
GHG analysis, including the incomplete way in which the integrated
assessment models capture catastrophic and non-catastrophic impacts,
their incomplete treatment of adaptation and technological change,
uncertainty in the extrapolation of damages to high temperatures, and
assumptions regarding risk aversion. Our analysis includes
CO2 emission increases from EGUs that would result from our
proposal (see Section V) but we have not quantified upstream emissions
impacts associated with liquid fuel refining.
Table VII-1--Climate Benefits From Reduction in GHG Emissions Associated With the Proposal
[Millions of 2021 Dollars]
----------------------------------------------------------------------------------------------------------------
Proposal
---------------------------------------------------------------
Calendar Year 3% 95th
5% Average 3% Average 2.5% Average Percentile
----------------------------------------------------------------------------------------------------------------
2027............................................ $33 $110 $160 $320
2028............................................ 74 240 350 710
2029............................................ 120 400 580 1,200
2030............................................ 190 610 880 1,800
2031............................................ 290 900 1,300 2,700
2032............................................ 410 1,300 1,800 3,800
2033............................................ 530 1,600 2,300 4,900
2034............................................ 660 2,000 2,800 6,000
2035............................................ 780 2,300 3,300 7,100
2036............................................ 940 2,800 4,000 8,500
2037............................................ 1,100 3,300 4,700 9,900
[[Page 26076]]
2038............................................ 1,300 3,800 5,400 12,000
2039............................................ 1,500 4,300 6,100 13,000
2040............................................ 1,700 4,900 6,900 15,000
2041............................................ 1,900 5,400 7,600 16,000
2042............................................ 2,100 5,900 8,300 18,000
2043............................................ 2,300 6,500 9,000 20,000
2044............................................ 2,500 7,000 9,800 21,000
2045............................................ 2,700 7,500 10,000 23,000
2046............................................ 2,900 8,000 11,000 24,000
2047............................................ 3,100 8,400 12,000 26,000
2048............................................ 3,300 8,800 12,000 27,000
2049............................................ 3,500 9,200 13,000 28,000
2050............................................ 3,700 9,700 13,000 30,000
2051............................................ 3,800 10,000 14,000 30,000
2052............................................ 4,000 10,000 14,000 31,000
2053............................................ 4,100 11,000 15,000 32,000
2054............................................ 4,300 11,000 15,000 32,000
2055............................................ 4,400 11,000 15,000 33,000
Present Value................................... 22,000 87,000 130,000 260,000
Equivalent Annualized Value..................... 1,400 4,600 6,500 14,000
----------------------------------------------------------------------------------------------------------------
Note: Climate benefits include changes in vehicle GHGs and EGU CO2 emissions, but do not include changes in
other EGU GHGs or refinery GHGs.
B. Criteria Pollutant Health Benefits
This section discusses the economic benefits from reductions in
adverse health impacts resulting from non-GHG emission reductions that
can be expected to occur as a result of the proposed CO2
emission standards. GHG emissions are predominantly the byproduct of
fossil fuel combustion processes that also produce criteria and
hazardous air pollutant emissions. The heavy-duty vehicles that are
subject to the proposed CO2 emission standards are also
significant sources of mobile source air pollution such as directly-
emitted PM, NOX, VOCs, CO, SO2 and air toxics. We
expect the proposed CO2 emission standards would lead to an
increase in HD ZEVs and a decrease in HD ICE vehicles, which would
result in reductions of these non-GHG pollutants (see Section V). Zero-
emission technologies would also affect emissions from upstream sources
that occur during, for example, electricity generation and from the
refining and distribution of liquid fuel (see Section V). This
proposal's benefits analysis includes added emissions due to increased
electricity generation but does not include emissions reductions from
reduced petroleum refining.
Changes in ambient concentrations of ozone, PM2.5, and
air toxics that would result from the proposed CO2 emission
standards are expected to affect human health by reducing premature
deaths and other serious human health effects, and they are also
expected to result in other important improvements in public health and
welfare (see Section VI). Children, especially, benefit from reduced
exposures to criteria and toxic pollutants because they tend to be more
sensitive to the effects of these respiratory pollutants. Ozone and
particulate matter have been associated with increased incidence of
asthma and other respiratory effects in children, and particulate
matter has been associated with a decrease in lung maturation.
When feasible, EPA conducts full-scale photochemical air quality
modeling to demonstrate how its national mobile source regulatory
actions affect ambient concentrations of regional pollutants throughout
the United States. The estimation of the human health impacts of a
regulatory action requires national-scale photochemical air quality
modeling to conduct a full-scale assessment of PM2.5 and
ozone-related health benefits. Air quality modeling and associated
analyses are not available for this document.
For the analysis of the proposed CO2 emission standards
(and analysis of the alternative standards in Section IX), we instead
use a reduced-form ``benefit-per-ton'' (BPT) approach to estimate the
monetized PM2.5-related health benefits of this proposal.
The BPT approach estimates the monetized economic value of
PM2.5-related emission reductions (such as direct PM,
(NOX, and SO2) due to implementation of the
proposed program. Similar to the SC-GHG approach for monetizing
reductions in GHGs, the BPT approach estimates monetized health
benefits of avoiding one ton of PM2.5-related emissions from
a particular source sector. The value of health benefits from
reductions (or increases) in PM2.5 emissions associated with
this proposal were estimated by multiplying PM2.5-related
BPT values by the corresponding annual reduction in tons of directly-
emitted PM2.5 and PM2.5 precursor emissions
(NOX and SO2). As explained in Chapter 7.2 in the
DRIA, the PM2.5 BPT values represent the monetized value of
human health benefits, including reductions in both premature mortality
and nonfatal illnesses.
The mobile sector BPT estimates used in this proposal were
published in 2019, but were recently updated using the suite of
premature mortality and morbidity studies in use by EPA for the 2023
p.m. NAAQS Reconsideration Proposal.997 998 The EGU BPT
estimates used in this proposal were also recently updated.\999\ The
health benefits
[[Page 26077]]
Technical Support Document (Benefits TSD) that accompanied the PM NAAQS
Reconsideration Proposal details the approach used to estimate the
PM2.5-related benefits reflected in the mobile source
BPTs.\1000\ For more detailed information about the benefits analysis
conducted for this proposal, including the BPT unit values used in this
analysis, please refer to Chapter 7 of the DRIA.
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\997\ Wolfe, P.; Davidson, K.; Fulcher, C.; Fann, N.; Zawacki,
M.; Baker, K.R. 2019. Monetized Health Benefits Attributable to
Mobile Source Emission Reductions across the United States in 2025.
Sci. Total Environ. 650, 2490-2498. Available at: https://doi.org/10.1016/J.SCITOTENV.2018.09.273.
\998\ U.S. Environmental Protection Agency (U.S. EPA). 2023. PM
NAAQS Reconsideration Proposal RIA. EPA-HQ-OAR-2019-0587. January.
\999\ U.S. Environmental Protection Agency (U.S. EPA). 2023.
Technical Support Document: Estimating the Benefit per Ton of
Reducing Directly-Emitted PM2.5, PM2.5
Precursors and Ozone Precursors from 21 Sectors. January.
\1000\ U.S. Environmental Protection Agency (U.S. EPA). 2023.
Estimating PM2.5- and Ozone-Attributable Health Benefits.
Technical Support Document (TSD) for the PM NAAQS Reconsideration
Proposal RIA. EPA-HQ-OAR-2019-0587. January.
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A chief limitation to using PM2.5-related BPT values is
that they do not reflect benefits associated with reducing ambient
concentrations of ozone. The PM2.5-related BPT values also
do not capture the benefits associated with reductions in direct
exposure to NO2 and mobile source air toxics, nor do they
account for improved ecosystem effects or visibility. The estimated
benefits of this proposal would be larger if we were able to monetize
these unquantified benefits at this time.
Table VII-2 presents the annual, undiscounted PM2.5-
related health benefits estimated for the stream of years beginning
with the first year of rule implementation, 2027, through calendar year
2055 for the proposed standards. Benefits are presented by Source:
Onroad heavy-duty vehicles and EGUs. Because premature mortality
typically constitutes the vast majority of monetized benefits in a
PM2.5 benefits assessment, we present benefits based on risk
estimates reported from two different long-term exposure studies using
different cohorts to account for uncertainty in the benefits associated
with avoiding PM-related premature deaths.1001 1002 Although
annual benefits presented in the table are not discounted for the
purposes of present value or annualized value calculations, annual
benefits do reflect the use of 3-percent and 7-percent discount rates
to account for avoided health outcomes that are expected to accrue over
more than a single year (the ``cessation lag'' between the change in PM
exposures and the total realization of changes in health effects).
Table VII-2 also displays the present and annualized values of
estimated benefits that occur from 2027 to 2055, discounted using both
3-percent and 7-percent discount rates and reported in 2021 dollars. We
estimate that the present value of benefits for the proposed program is
$15 to $29 billion at a 3-percent discount rate and $5.8 to $11 billion
at a 7-percent discount rate (2021 dollars).
---------------------------------------------------------------------------
\1001\ Wu, X, Braun, D, Schwartz, J, Kioumourtzoglou, M and
Dominici, F (2020). Evaluating the impact of long-term exposure to
fine particulate matter on mortality among the elderly. Science
advances 6(29): eaba5692.
\1002\ Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S-Y, Bechle, M, Gilliat, KS, Vernon, SE and
Robinson, AL (2019). Mortality risk and fine particulate air
pollution in a large, representative cohort of US adults.
Environmental health perspectives 127(7): 077007.
Table VII-2--Year-Over-Year Monetized PM2.5-Related Health Benefits of the Proposed Program
[Millions, 2021$]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Onroad heavy-duty vehicles EGUs Total benefits
-------------------------------------------------------------------------------------------------------
3% Discount 7% Discount 3% Discount 7% Discount
rate rate 3% Discount rate 7% Discount rate rate rate
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027............................................ $23-49 $21-44 $(17)-(35) $(15)-(32) $6.4-13 $5.7-12
2028............................................ 51-110 46-97 (37)-(76) (33)-(69) 15-31 13-28
2029............................................ 87-180 78-160 (61)-(130) (55)-(110) 26-53 23-48
2030............................................ 140-290 130-260 (120)-(260) (110)-(230) 16-33 14-30
2031............................................ 220-460 200-410 (240)-(500) (220)-(450) (22)-(45) (20)-(40)
2032............................................ 330-670 290-610 (400)-(820) (360)-(730) (70)-(140) (64)-(130)
2033............................................ 440-900 400-810 (560)-(1100) (500)-(1000) (120)-(240) (110)-(210)
2034............................................ 560-1,100 500-1,000 (720)-(1500) (650)-(1300) (160)-(330) (150)-(300)
2035............................................ 690-1,400 620-1,200 (890)-(1800) (800)-(1600) (210)-(410) (190)-(370)
2036............................................ 820-1,700 740-1,500 (930)-(1900) (840)-(1700) (110)-(220) (100)-(200)
2037............................................ 970-1,900 870-1,700 (930)-(1900) (840)-(1700) 31-62 27-57
2038............................................ 1,100-2,200 1,000-2,000 (890)-(1800) (800)-(1600) 220-440 200-400
2039............................................ 1,300-2,500 1,100-2,200 (810)-(1600) (730)-(1500) 440-880 400-790
2040............................................ 1,400-2,800 1,300-2,500 (700)-(1400) (630)-(1200) 700-1,400 630-1,300
2041............................................ 1,500-3,000 1,400-2,700 (660)-(1300) (590)-(1200) 870-1,700 780-1,500
2042............................................ 1,700-3,300 1,500-2,900 (610)-(1200) (550)-(1100) 1,000-2,100 940-1,900
2043............................................ 1,800-3,500 1,600-3,100 (540)-(1100) (490)-(970) 1,200-2,400 1,100-2,200
2044............................................ 1,900-3,700 1,700-3,300 (470)-(930) (420)-(830) 1,400-2,800 1,300-2,500
2045............................................ 2,000-3,900 1,800-3,500 (380)-(760) (340)-(680) 1,600-3,100 1,400-2,800
2046............................................ 2,100-4,100 1,900-3,700 (350)-(690) (310)-(620) 1,700-3,400 1,600-3,100
2047............................................ 2,200-4,300 2,000-3,800 (310)-(620) (280)-(550) 1,900-3,600 1,700-3,300
2048............................................ 2,300-4,400 2,000-4,000 (270)-(540) (240)-(480) 2,000-3,900 1,800-3,500
2049............................................ 2,300-4,600 2,100-4,100 (230)-(450) (200)-(410) 2,100-4,100 1,900-3,700
2050............................................ 2,400-4,700 2,200-4,300 (180)-(370) (170)-(330) 2,300-4,400 2,000-3,900
2051............................................ 2,500-4,900 2,300-4,400 (190)-(370) (170)-(330) 2,300-4,500 2,100-4,100
2052............................................ 2,600-5,100 2,400-4,600 (190)-(380) (170)-(340) 2,400-4,700 2,200-4,200
2053............................................ 2,700-5,200 2,400-4,700 (190)-(380) (170)-(340) 2,500-4,800 2,300-4,400
2054............................................ 2,800-5,400 2,500-4,800 (190)-(390) (170)-(350) 2,600-5,000 2,300-4,500
2055............................................ 2,900-5,500 2,600-5,000 (200)-(390) (180)-(350) 2,700-5,200 2,400-4,600
Present Value................................... 23,000-46,000 10,000-20,000 (8,200)-(17,000) (4,600)-(9,300) 15,000-29,000 5,800-11,000
[[Page 26078]]
Equivalent Annualized Value..................... 1,200-2,400 840-1,700 (430)-(860) (380)-(760) 780-1,500 470-910
--------------------------------------------------------------------------------------------------------------------------------------------------------
Notes: The range of benefits in this table reflect the range of premature mortality estimates derived from the Medicare study (Wu et al., 2020) and the
NHIS study (Pope et al., 2019). All benefits estimates are rounded to two significant figures. Annual benefit values presented here are not
discounted. Negative values in parentheses are health disbenefits related to increases in estimated emissions. The present value of benefits is the
total aggregated value of the series of discounted annual benefits that occur between 2027-2055 (in 2021 dollars) using either a 3% or 7% discount
rate. The benefits associated with the standards presented here do not include health benefits associated with reduced criteria pollutant emissions
from refineries. The benefits in this table also do not include the full complement of health and environmental benefits that, if quantified and
monetized, would increase the total monetized benefits.
This analysis includes many data sources that are each subject to
uncertainty, including projected emission inventories, air quality data
from models, population data, population estimates, health effect
estimates from epidemiology studies, economic data, and assumptions
regarding the future state of the world (i.e., regulations, technology,
and human behavior). When compounded, even small uncertainties can
greatly influence the size of the total quantified benefits. There are
also inherent limitations associated with using the BPT approach.
Despite these uncertainties, we believe the criteria pollutant benefits
presented here are our best estimate of benefits absent air quality
modeling and we have confidence in the BPT approach and the
appropriateness of relying on BPT health estimates for this rulemaking.
Please refer to DRIA Chapter 7 for more information on the uncertainty
associated with the benefits presented here.
C. Energy Security
The proposed CO2 emission standards are designed to
require reductions in GHG emissions from HD vehicles in the 2027-2032
and beyond timeframe and, thereby, reduce liquid fuel consumption. We
expect the standards will be met through a combination of zero-emission
technologies and improvements in ICE vehicle technologies, which would,
in turn, reduce the demand for liquid fuels and enable the United
States to reduce petroleum imports. A reduction of U.S. petroleum
imports reduces both financial and strategic risks caused by potential
sudden disruptions in the supply of imported petroleum to the United
States, thus increasing U.S. energy security.
Energy security is broadly defined as the uninterrupted
availability of energy sources at affordable prices.\1003\ Energy
independence and energy security are distinct but related concepts. The
goal of U.S. energy independence is the elimination of all U.S. imports
of petroleum and other foreign sources of energy, but more broadly it
is the elimination of U.S. sensitivity to the variations in the price
and supply of foreign sources of energy.\1004\ See Chapter 7 of the
DRIA for a more detailed assessment of energy security and energy
independence impacts of this proposed rule and Section II.D.2.ii for a
discussion on battery critical materials and supply.
---------------------------------------------------------------------------
\1003\ International Energy Agency. ``Energy security: Ensuring
the uninterrupted availability of energy sources at an affordable
price''. Last updated December 2, 2019.
\1004\ Greene, D. 2010. Measuring energy security: Can the
United States achieve oil independence? Energy Policy 38, pp. 1614-
1621.
---------------------------------------------------------------------------
In order to understand the energy security implications of reducing
U.S. oil imports, EPA has worked with Oak Ridge National Laboratory
(ORNL), which has developed approaches for evaluating the social costs
and energy security implications of oil use. When conducting this
analysis, ORNL estimates the risk of reductions in U.S. economic output
and disruption to the U.S. economy caused by sudden disruptions in
world oil supply and associated price shocks (i.e., labeled the avoided
macroeconomic disruption/adjustment costs). These risks are quantified
as ``macroeconomic oil security premiums,'' i.e., the extra costs of
oil use besides its market price.
For this proposed rule, EPA is using macroeconomic oil security
premiums estimated using ORNL's methodology, which incorporates updated
oil price projections and energy market and economic trends from the
U.S. Department of Energy's Energy Information Administration's (EIA)
Annual Energy Outlook (AEO) 2022. EPA and ORNL have worked together to
revise the macroeconomic oil security premiums based upon recent energy
security literature. We do not consider military cost impacts as a
result of reductions in U.S. oil imports from this proposed rule due to
methodological issues in quantifying these impacts.
To calculate the oil security benefits of this proposed rule, EPA
is using the ORNL macroeconomic oil security premium methodology with:
(1) Estimated oil savings calculated by EPA and (2) An oil import
reduction factor of 86.4 percent, which shows how much U.S. oil imports
are reduced from changes in U.S. oil consumption. In Table VII-3, EPA
presents the macroeconomic oil security premiums and the energy
security benefits for the proposed HDV standards for the years from
2027-2055.
[[Page 26079]]
Table VII-3--Macroeconomic Oil Security Premiums (2021$/Barrel) and Energy Security Benefits With the Proposal
[In millions of 2021$]
----------------------------------------------------------------------------------------------------------------
Energy
Calendar year Macroeconomic oil security security
premiums (range) benefits
----------------------------------------------------------------------------------------------------------------
2027.............................................................. $3.57 ($0.79-$6.65) $15
2028.............................................................. $3.65 ($0.80-$6.79) 33
2029.............................................................. $3.72 ($0.80-$6.92) 55
2030.............................................................. $3.79 ($0.81-$7.06) 91
2031.............................................................. $3.87 ($0.85-$7.22) 140
2032.............................................................. $3.96 ($0.89-$7.38) 210
2033.............................................................. $4.04 ($0.92-$7.53) 280
2034.............................................................. $4.13 ($0.96-$7.69) 350
2035.............................................................. $4.21 ($1.00-$7.85) 420
2036.............................................................. $4.29 ($1.03-$7.98) 490
2037.............................................................. $4.36 ($1.06-$8.11) 560
2038.............................................................. $4.44 ($1.10-$8.24) 620
2039.............................................................. $4.51 ($1.13-$8.37) 690
2040.............................................................. $4.59 ($1.16-$8.50) 750
2041.............................................................. $4.65 ($1.19-$8.62) 800
2042.............................................................. $4.71 ($1.21-$8.73) 850
2043.............................................................. $4.76 ($1.24-$8.85) 900
2044.............................................................. $4.82 ($1.26-$8.96) 940
2045.............................................................. $4.88 ($1.29-$9.08) 990
2046.............................................................. $4.94 ($1.32-$9.18) 1,000
2047.............................................................. $5.00 ($1.35-$9.28) 1,100
2048.............................................................. $5.06 ($1.37-$9.37) 1,100
2049.............................................................. $5.12 ($1.40-$9.46) 1,100
2050.............................................................. $5.18 ($1.43-$9.56) 1,200
2051.............................................................. $5.18 ($1.43-$9.56) 1,200
2052.............................................................. $5.18 ($1.43-$9.56) 1,200
2053.............................................................. $5.18 ($1.43-$9.56) 1,200
2054.............................................................. $5.18 ($1.43-$9.56) 1,300
2055.............................................................. $5.18 ($1.43-$9.56) 1,300
PV, 3%............................................................ ............................ 12,000
PV, 7%............................................................ ............................ 6,000
EAV, 3%........................................................... ............................ 620
EAV, 7%........................................................... ............................ 490
----------------------------------------------------------------------------------------------------------------
VIII. Comparison of Benefits and Costs
This section compares the estimated range of benefits associated
with reductions of GHGs, monetized health benefits from reductions in
PM2.5, energy security benefits, fuel savings, and vehicle-
related operating savings to total costs associated with the proposal
and the alternative. Estimated costs are detailed and presented in
Section IV of this preamble. Those costs include costs for both the new
technology in our technology package and the operating costs associated
with that new technology. Importantly, as detailed in Section IV of
this preamble, the vehicle costs presented here exclude both the IRA
battery tax credit and vehicle tax credit while the fuel savings
exclude fuel taxes; as such, these costs, along with other operating
costs, represent the social costs and/or savings associated with the
proposed standards. Benefits from the reduction of GHG emissions and
criteria pollutant emissions, and energy security benefits associated
with reductions of imported oil, are presented in Section VII.
A. Methods
EPA presents three different benefit-cost comparisons for the
proposal and the alternative:
1. A future-year snapshot comparison of annual benefits and costs
in the year 2055, chosen to approximate the annual health benefits that
would occur in a year when the program would be fully implemented and
when most of the regulated fleet would have turned over. Benefits,
costs, and net benefits are presented in year 2021 dollars and are not
discounted. However, 3-percent and 7-percent discount rates were
applied to account for avoided health outcomes that are expected to
accrue over more than a single year (the ``cessation lag'' between the
change in PM exposures and the total realization of changes in health
effects).
2. The present value (PV) of the stream of benefits, costs, and net
benefits calculated for the years 2027 through 2055, discounted back to
the first year of implementation of the proposed rule (2027) using both
3-percent and 7-percent discount rates, and presented in year 2021
dollars. Note that year-over-year costs are presented in Section IV and
year-over-year benefits may be found in Section VII.
3. The equivalent annualized value (EAV) of benefits, costs, and
net benefits representing a flow of constant annual values that, had
they occurred in each year from 2027 through 2055, would yield an
equivalent present value to those estimated in method 2 (using either a
3-percent or 7-percent discount rate). Each EAV represents a typical
benefit, cost, or net benefit for each year of the analysis and is
presented in year 2021 dollars.
B. Results
Table VIII-1 shows the undiscounted annual monetized vehicle-
related technology package RPE costs of the proposal and alternative in
calendar year 2055. The table also shows the PV and EAV of those costs
for the calendar years 2027 through 2055 using both 3-percent and 7-
percent discount rates. The table includes an estimate of the vehicle
technology package RPE costs and the costs associated with EVSE.
[[Page 26080]]
Note that all costs, savings, and benefits estimates presented in
the tables that follow are rounded to two significant figures; numbers
may not sum due to independent rounding.
Table VIII-1--Vehicle-Related Technology Costs Associated With the Proposal and Alternative
[Millions of 2021 dollars]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-----------------------------------------------------------------------------------------------------------------
Vehicle Vehicle
technology EVSE RPE Sum technology EVSE RPE Sum
package RPE package RPE
--------------------------------------------------------------------------------------------------------------------------------------------------------
2055.................................. -$1,500 $2,900 $1,400 -$1,200 $2,100 $880
PV, 3%................................ 9,000 47,000 56,000 4,000 33,000 37,000
PV, 7%................................ 10,000 29,000 39,000 5,400 20,000 25,000
EAV, 3%............................... 470 2,500 2,900 210 1,700 1,900
EAV, 7%............................... 820 2,300 3,200 440 1,600 2,100
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table VIII-2 shows the undiscounted annual monetized vehicle-
related operating savings of the proposal and alternative in calendar
year 2055. The table also shows the PV and EAV of those savings for
calendar years 2027 through 2055 using both 3-percent and 7-percent
discount rates. The savings in diesel exhaust fluid (DEF) consumption
arise from the electrification of the HD fleet and the corresponding
decrease in diesel engine equipped vehicles which require DEF to
maintain compliance with NOX emission standards. The
maintenance and repair savings are substantial due again to
electrification of the HD fleet, with HD BEVs and FCEVs projected to
require 71 percent and 75 percent, respectively, of the maintenance and
repair costs required of HD vehicles equipped with internal combustion
engines.
Table VIII-2--Vehicle-Related Operating Savings Associated With the Proposal and Alternative
[Millions of 2021 dollars *]
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------------------------------------------
Pre-tax fuel Maintenance & Pre-tax fuel Maintenance &
savings DEF savings repair savings Sum of savings savings DEF savings repair savings Sum of savings
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2055............................................................ $4,300 $2,300 $24,000 $31,000 $2,800 $1,700 $17,000 $22,000
PV, 3%.......................................................... 28,000 22,000 200,000 250,000 18,000 15,000 140,000 180,000
PV, 7%.......................................................... 14,000 11,000 99,000 120,000 8,900 7,900 71,000 87,000
EAV, 3%......................................................... 1,400 1,100 10,000 13,000 920 810 7,400 9,100
EAV, 7%......................................................... 1,100 900 8,100 10,000 720 640 5,800 7,100
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
* Fuel savings are net of savings in diesel, gasoline, and CNG consumption with increased electricity and hydrogen consumption; DEF savings accrue only to diesel vehicles; maintenance and
repair savings include impacts associated with all fuels.
Table VIII-3 shows the undiscounted annual monetized energy
security benefits of the proposal and alternative in calendar year
2055. The table also shows the PV and EAV of those benefits for
calendar years 2027 through 2055 using both 3-percent and 7-percent
discount rates.
Table VIII-3--Energy Security Benefits Associated With the Proposal and
Alternative
[Millions of 2021 dollars]
------------------------------------------------------------------------
Proposal Alternative
------------------------------------------------------------------------
2055.................................... $1,300 $910
PV, 3%.................................. 12,000 8,500
PV, 7%.................................. 6,000 4,300
EAV, 3%................................. 620 440
EAV, 7%................................. 490 350
------------------------------------------------------------------------
Table VIII-4 shows the benefits of reduced GHG emissions, and
consequently the annual quantified benefits (i.e., total GHG benefits),
for each of the four interim social cost of GHG (SC-GHG) values
estimated by the Interagency Working Group (IWG). As discussed in DRIA
Chapter 7, there are some limitations to the SC-GHG analysis, including
the incomplete way in which the integrated assessment models capture
catastrophic and non-catastrophic impacts, their incomplete treatment
of adaptation and technological change, uncertainty in the
extrapolation of damages to high temperatures, and assumptions
regarding risk aversion. These climate benefits include benefits
associated with reduced vehicle GHGs and increased EGU CO2
emissions, but do not include any impacts associated with petroleum
extraction, petroleum transportation, or liquid fuel refining.
Table VIII-5 shows the undiscounted annual monetized
PM2.5-related health benefits of the proposal and
alternative in calendar year 2055. The table also shows the PV and EAV
of those benefits for calendar years 2027 through 2055 using both 3-
percent and 7-percent discount rates. The range of benefits in this
table reflect the two premature mortality estimates derived from the
Medicare study (Wu et al., 2020) and the NHIS study (Pope et al.,
2019).1005 1006
---------------------------------------------------------------------------
\1005\ Wu, X, Braun, D, Schwartz, J, Kioumourtzoglou, M and
Dominici, F (2020). Evaluating the impact of long-term exposure to
fine particulate matter on mortality among the elderly. Science
advances 6(29): eaba5692.
\1006\ Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S-Y, Bechle, M, Gilliat, KS, Vernon, SE and
Robinson, AL (2019). Mortality risk and fine particulate air
pollution in a large, representative cohort of U.S. adults.
Environmental health perspectives 127(7): 077007.
[[Page 26081]]
Table VIII-4--Climate Benefits From Reduction in GHG Emissions Associated With the Proposal and Alternative
[Millions of 2021 dollars]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------
5% 3% 2.5% 3% 95th 5% 3% 2.5% 3% 95th
Average Average Average Percentile Average Average Average Percentile
--------------------------------------------------------------------------------------------------------------------------------------------------------
2055........................................................ $4,400 $11,000 $15,000 $33,000 $3,200 $8,000 $11,000 $24,000
PV.......................................................... 22,000 87,000 130,000 260,000 16,000 62,000 96,000 190,000
EAV......................................................... 1,400 4,600 6,500 14,000 1,000 3,300 4,700 9,900
--------------------------------------------------------------------------------------------------------------------------------------------------------
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social
cost of carbon (SC-CO2), the social cost of methane (SC-CH4), and the social cost of nitrous oxide (SC-N2O) (model average at 2.5-percent, 3-percent,
and 5-percent discount rates; 95th percentile at 3-percent discount rate). The 95th perncentile estimate was included to provide information on
potentially higher-than-expected economic impacts from climate change, conditional on the 3 percent estimate of the discount rate. We emphasize the
importance and value of considering the benefits calculated using all four SC-CO2, SC-CH4, and SC-N2O estimates. As discussed in the Technical Support
Document: Social Cost of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate
benefits calculated using discount rates below 3 percent, including 2 percent and lower, are also warranted when discounting intergenerational
impacts.
The same discount rate used to discount the value of damages from future emissions (SC-GHGs at 5, 3, 2.5 percent) is used to calculate the present value
of SC-GHGs for internal consistency. Annual benefits shown are undiscounted values.
Table VIII-5--PM2.5-Related Emission Reduction Benefits Associated With the Proposal and Alternative
[Millions of 2021 dollars]
----------------------------------------------------------------------------------------------------------------
Proposal Alternative
---------------------------------------------------------------------------
3% 7% 3% 7%
----------------------------------------------------------------------------------------------------------------
2055................................ $2,700-$5,200 $2,400-$4,600 $1,900-$3,700 $1,700-$3,300
PV.................................. 15,000-29,000 5,800-11,000 11,000-21,000 4,200-8,200
EAV................................. 780-1,500 470-910 570-1,100 340-670
----------------------------------------------------------------------------------------------------------------
Notes: The range of benefits in this table reflects the range of premature mortality estimates derived from the
Medicare study (Wu et al., 2020) and the NHIS study (Pope III et al., 2019). All benefits estimates are
rounded to two significant figures. The present value of benefits is the total aggregated value of the series
of discounted annual benefits that occur between 2027-2055 (in 2021 dollars) using either a 3-percent or 7-
percent discount rate. The benefits associated with the standards presented here do not include health
benefits associated with reduced criteria pollutant emissions from refineries. The benefits in this table also
do not include the full complement of health and environmental benefits that, if quantified and monetized,
would increase the total monetized benefits.
Table VIII-6 shows the undiscounted annual net benefits of the
proposal and alternative in calendar year 2055 using each of the four
social cost of GHG valuations. The table also shows the PV and EAV of
the net benefits for calendar years 2027 through 2055 using both 3-
percent and 7-percent discount rates. For presentational simplicity, we
use the mid-point of the range of PM2.5 benefits in the
annual 2055 net benefit calculation. For the calculation of PV and EAV
net benefits, we use the high-end estimate of PM2.5 benefits
assuming a 3-percent discount rate and the low-end estimate of benefits
assuming a 7-percent discount rate in the corresponding 3- and 7-
percent PV and EAV estimates. These choices do not fundamentally alter
the net benefit calculations since differences between the chosen
PM2.5 benefit estimates are not reflected when net benefits
are rounded to two significant figures. These net benefits include
benefits associated with reduced vehicle GHGs and increased EGU
CO2 emissions, but do not include any impacts associated
with petroleum extraction, petroleum transportation or liquid fuel
refining.
Table VIII-6--Net Benefits Associated With the Proposal and Alternative
[Millions of 2021 dollars]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Average Alternative
-------------------------------------------------------------------------------------------
5% 3% 2.5% 3% 95th 5% 3% 2.5% 3% 95th
Average Average Average Percentile Average Average Average percentile
--------------------------------------------------------------------------------------------------------------------------------------------------------
2055........................................................ $39,000 $46,000 $50,000 $68,000 $28,000 $33,000 $36,000 $49,000
PV, 3%...................................................... 260,000 320,000 370,000 500,000 180,000 230,000 260,000 360,000
PV, 7%...................................................... 120,000 180,000 230,000 360,000 86,000 130,000 170,000 260,000
EAV, 3%..................................................... 14,000 17,000 19,000 26,000 9,800 12,000 13,000 19,000
EAV, 7%..................................................... 9,300 12,000 14,000 22,000 6,800 9,000 10,000 16,000
--------------------------------------------------------------------------------------------------------------------------------------------------------
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social
cost of carbon (SC-CO2), the social cost of methane (SC-CH4), and the social cost of nitrous oxide (SC-N2O) (model average at 2.5-percent, 3-percent,
and 5-percent discount rates; 95th percentile at 3-percent discount rate). The 95th perncentile estimate was included to provide information on
potentially higher-than-expected economic impacts from climate change, conditional on the 3 percent estimate of the discount rate. We emphasize the
importance and value of considering the benefits calculated using all four SC-CO2, SC-CH4, and SC-N2O estimates. As discussed in the Technical Support
Document: Social Cost of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate
benefits calculated using discount rates below 3 percent, including 2 percent and lower, are also warranted when discounting intergenerational
impacts. The same discount rate used to discount the value of damages from future emissions (SC-GHG at 5, 3, 2.5 percent) is used to calculate present
value of SC-GHGs for internal consistency, while all other costs and benefits are discounted at either 3 percent or 7 percent. Annual costs and
benefits in 2055 are undiscounted values. Note that the benefits attributable to reductions in non-GHG pollutants associated with the standards
included here do not include the full complement of health and environmental effects that, if quantified and monetized, would increase the total
monetized benefits. Instead, the non-GHG pollutant benefits are based on benefit-per-ton values that reflect only human health impacts associated with
reductions in PM2.5 exposure. For the purposes of presentational clarity in the calculation of net benefits, PM2.5-related benefits are averaged
across the range of alternative estimates for 2055. For PV and EAV estimated with a 3% discount rate, we calculate net benefits using PM2.5-related
benefits based on the Pope III et al., 2019 study of premature mortality. For PV and EAV estimated with a 7% discount rate, net benefits reflect PM2.5-
related benefits based on the Wu et al., 2020 study.
[[Page 26082]]
We summarize the vehicle costs, operational savings, and benefits
of the proposal, as shown in Table VIII-7. Table VIII-7 presents the
proposal's costs from Table VIII-1, operating savings from Table VIII-
2, benefits from Table VIII-3 through Table VIII-5, and net benefits
from Table VIII-6 in a single table.
Table VIII-7--Summary of Vehicle Costs, Operating Savings, and Benefits of the Proposal
[Billions of 2021 dollars]
----------------------------------------------------------------------------------------------------------------
CY 2055 PV, 3% PV, 7% EAV, 3% EAV, 7%
----------------------------------------------------------------------------------------------------------------
Vehicle Technology Package RPE.. -$1.5 $9 $10 $0.47 $0.82
EVSE RPE........................ 2.9 47 29 2.5 2.3
Sum of Vehicle Costs............ 1.40 56 39 2.9 3.2
Pre-tax Fuel Savings............ 4 28 14 1.4 1.1
Diesel Exhaust Fluid Savings.... 2.3 22 11 1.1 0.9
Repair & Maintenance Savings.... 24 200 99 10 8
Sum of Operating Savings........ 31 250 120 13 10
Energy Security Benefits........ 1.3 12 6.0 0.62 0.49
Climate Benefits: \a\
5% Average.................. 4.4 22 22 1.4 1.4
3% Average.................. 11 87 87 4.6 4.6
2.5% Average................ 15 130 130 6.5 6.5
3% 95th Percentile.......... 33 260 260 14 14
Criteria Air Pollutant Benefits:
\b\
PM2.5 Health Benefits--Wu et 2.4-2.7 15 5.8 0.78 0.47
al., 2020..................
PM2.5 Health Benefits--Pope 4.6-5.2 29 11.0 1.5 0.91
III et al., 2019...........
Net Benefits: \a\ \c\
With Climate 5% Average..... 39 260 120 14 9.3
With Climate 3% Average..... 46 320 180 17 12
With Climate 2.5% Average... 50 370 230 19 14
With Climate 3% 95th 68 500 360 26 22
Percentile.................
----------------------------------------------------------------------------------------------------------------
\a\ The same discount rate used to discount the value of damages from future emissions (SC-GHG at 5, 3, 2.5
percent) is used to calculate present and equivalent annualized values of SC-GHGs for internal consistency,
while all other costs and benefits are discounted at either 3% or 7%.
\b\ PM2.5-related health benefits are presented based on two different long-term exposure studies of mortality
risk: a Medicare study (Wu et al., 2020) and a National Health Interview Survey study (Pope III et al., 2019).
The benefits associated with the standards presented here do not include health benefits associated with
reduced criteria pollutant emissions from refineries. The benefits in this table also do not include the full
complement of health and environmental benefits that, if quantified and monetized, would increase the total
monetized benefits. The range of benefits in CY2055 are estimated using either a 3% or 7% discount rate to
account for avoided health outcomes that are expected to accrue over more than a single year.
\c\ For criteria pollutant benefits included in the calculation of net benefits, PM2.5-related benefits are
averaged across the range of estimates in CY2055. For presentational clarity, the present and equivalent
annualized value of net benefits for a 3% discount rate reflect benefits based on the Pope III et al. study
while the present and equivalent annualized value of net benefits for a 7% discount rate reflect benefits
based on the Wu et al. study.
We have also estimated the total transfers associated with the
proposed CO2 emission standards, as shown in Table VIII-8.
The transfers consist of the IRA battery tax credit and vehicle tax
credit and fuel taxes. None of these are included in the prior tables
(i.e., Table VIII-1, Table VIII-2, and Table VIII-6) in this section's
comparison of benefits and costs.
Table VIII-8--Transfers Associated With the Proposal and the Alternative
[Millions of 2021 dollars]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------------------------------
Battery tax Vehicle tax Battery tax Vehicle tax
credits credits Fuel taxes Sum credits credits Fuel taxes Sum
--------------------------------------------------------------------------------------------------------------------------------------------------------
2055................................ $0 $0 $6,600 $6,600 $0 $0 $4,700 $4,700
PV, 3%.............................. 3,300 5,900 69,000 79,000 2,300 3,900 50,000 56,000
PV, 7%.............................. 2,900 5,000 37,000 44,000 2,000 3,400 26,000 31,000
EAV, 3%............................. 170 310 3,600 4,100 120 210 2,600 2,900
EAV, 7%............................. 240 410 3,000 3,600 160 270 2,100 2,600
--------------------------------------------------------------------------------------------------------------------------------------------------------
IX. Analysis of Alternative CO2 Emission Standards
As discussed throughout this preamble, in developing this proposal,
EPA considered and is requesting comment on a regulatory alternative
that would establish less stringent CO2 emission standards
and, thus, would result in fewer GHG emission reductions than the
CO2 emission standards we are proposing. This section
presents estimates of technology costs, CO2 emission
reductions, fuel savings, and other impacts associated with the
alternative. We request comment on this analysis for the alternative
set of CO2 standards. See Section II.H for our request for
comment regarding the alternative set of standards than those proposed.
We also are seeking comment on a more stringent set of emission
standards that would be based on higher ZEV adoption rates on a
national level around the same levels as the adoption rates included in
the California ACT rule, as described in Section II.H.
[[Page 26083]]
A. Comparison of Proposal and Alternative
The alternative represents a slower phase-in option for program
implementation, which represents differences in timing, costs, and
benefits of a HD vehicle CO2 emissions program.
Specifically, the alternative has both a less aggressive phase-in of
CO2 emissions standards from MYs 2027 through 2031 and a
less stringent standard for MYs 2032 and beyond. The alternative was
modeled using the same methodologies used to model the proposal, as
described in Chapters 3 and 4 of the DRIA.
1. Slower Phase-In Alternative
EPA developed and considered an alternative with a more gradual
phase-in of CO2 emission standards for MYs 2027 through MY
2031 and a less stringent final standard in MY 2032, as discussed in
Section II.H. The ZEV adoption rates associated with level of
stringency for MYs 2027 through 2032 under the slower phase-in
alternative are shown in Table IX-1. The slower phase-in alternative
ZEV adoption rates by regulatory subcategory and by MY are shown in
DRIA Chapter 2.9.5. The slower phase-in alternative standards,
presented in Table IX-2 through Table IX-5, are calculated using the
same method as the proposed standards, as described in Preamble
Sections II.F.2 and II.F.3, using the alternative ZEV adoption rates by
regulatory subcategory.
Table IX-1--ZEV Technology Adoption Rates in the Technology Packages Considered for the Alternative
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) later (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 14 20 25 30 35 40
Short-Haul Tractors..................................... 5 8 10 15 20 25
Long-Haul Tractors...................................... 0 0 0 10 15 20
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table IX-2--Alternative MY 2027 Through 2032+ Vocational Vehicle CO2 Emission Standards
[Grams/ton-mile]
--------------------------------------------------------------------------------------------------------------------------------------------------------
CI medium SI medium
Model year Subcategory CI light heavy heavy CI heavy heavy SI light heavy heavy
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027...................................... Urban....................... 318 227 244 364 266
Multi-Purpose............... 281 204 205 323 237
Regional.................... 242 187 164 270 216
2028...................................... Urban....................... 294 218 239 340 257
Multi-Purpose............... 257 195 200 299 228
Regional.................... 218 178 159 246 207
2029...................................... Urban....................... 275 211 235 321 250
Multi-Purpose............... 238 188 196 280 221
Regional.................... 199 171 155 227 200
2030...................................... Urban....................... 255 206 212 301 245
Multi-Purpose............... 218 183 173 260 216
Regional.................... 179 166 132 207 195
2031...................................... Urban....................... 235 199 205 281 238
Multi-Purpose............... 198 176 166 240 209
Regional.................... 159 159 125 187 188
2032 and later............................ Urban....................... 215 192 195 261 231
Multi-Purpose............... 178 169 156 220 202
Regional.................... 139 152 115 167 181
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table IX-3--Alternative MY 2027 Through 2032+ Optional Custom Chassis Vocational Vehicle CO2 Emission Standards
[Grams/ton-mile]
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
Optional custom chassis vehicle category MY 2027 MY 2028 MY 2029 MY 2030 MY 2031 later
--------------------------------------------------------------------------------------------------------------------------------------------------------
School Bus.............................................. 214 203 195 190 182 173
Other Bus............................................... 286 269 252 237 223 206
Coach Bus............................................... 205 205 205 185 174 164
Refuse Hauler........................................... 265 253 241 232 221 212
Concrete Mixer.......................................... 275 265 256 246 237 228
Motor home.............................................. 226 226 226 226 226 226
Mixed-use vehicle....................................... 316 316 316 316 316 316
Emergency vehicle....................................... 319 319 319 319 319 319
--------------------------------------------------------------------------------------------------------------------------------------------------------
[[Page 26084]]
Table IX-4--Alternative MY 2027 Through MY 2032+ Tractor CO2 Emission Standards
[Grams/ton-mile]
----------------------------------------------------------------------------------------------------------------
Class 7 all Class 8 day Class 8
Model year Roof height cab styles cab sleeper cab
----------------------------------------------------------------------------------------------------------------
Low Roof................ 91.4 69.7 64.1
Mid Roof................ 98.2 74.1 69.6
High Roof............... 95.0 71.9 64.3
2028.................................. Low Roof................ 88.5 67.5 64.1
Mid Roof................ 95.1 71.8 69.6
High Roof............... 92.0 69.6 64.3
2029.................................. Low Roof................ 86.6 66.1 64.1
Mid Roof................ 93.1 70.2 69.6
High Roof............... 90.0 68.1 64.3
2030.................................. Low Roof................ 81.8 62.4 57.7
Mid Roof................ 87.9 66.3 62.6
High Roof............... 85.0 64.3 57.9
2031.................................. Low Roof................ 77.0 58.7 54.5
Mid Roof................ 82.7 62.4 59.2
High Roof............... 80.0 60.6 54.7
2032 and Later........................ Low Roof................ 72.2 55.1 51.3
Mid Roof................ 77.6 58.5 55.7
High Roof............... 75.0 56.8 51.4
----------------------------------------------------------------------------------------------------------------
Table IX-5--Alternative MY 2027 Through MY 2032+ Heavy-Haul Tractor CO2
Emission Standards
[Grams/ton-mile]
------------------------------------------------------------------------
CO2 Emission
standards
Model Year (grams/ton-
mile)
------------------------------------------------------------------------
2027.................................................... 48.3
2028.................................................... 48.3
2029.................................................... 48.3
2030.................................................... 44.0
2031.................................................... 43.0
2032 and Later.......................................... 42.5
------------------------------------------------------------------------
Based on our current analysis for each of the vocational vehicle
and tractor subcategories, there appear to be technically feasible
emission standards available that provide for greater CO2
emission reductions through the proposed standards than through the
slower phase-in alternative. As explained in section II.H, the proposed
standards are therefore appropriate. Consequently, at this time, EPA
does not believe that the slower phase-in alternative would be
appropriate.
2. Proposed CO2 Emission Standards
Details regarding MOVES modeling of these proposed standards are
included in Section IV of this preamble and Chapter 4 of the DRIA. The
ZEV adoption rates in the technology packages associated with the
proposed level of stringency for MYs 2027 through 2032 under the
proposal are shown in Table IX-6.
Table IX-6--ZEV Technology Adoption Rates in the Technology Packages Considered for the Proposed Standards
--------------------------------------------------------------------------------------------------------------------------------------------------------
MY 2032 and
MY 2027 (%) MY 2028 (%) MY 2029 (%) MY 2030 (%) MY 2031 (%) later
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vocational.............................................. 20 25 30 35 40 50
Short-Haul Tractors..................................... 10 12 15 20 30 35
Long-Haul Tractors...................................... 0 0 0 10 20 25
--------------------------------------------------------------------------------------------------------------------------------------------------------
The bases for each of the proposed CO2 emission
standards by model year and industry segment are discussed more fully
earlier in this preamble Section II and in Chapter 2 of the DRIA.
Section II of this preamble include explanation of how EPA arrived at
the proposed CO2 emission standards, including discussion of
the technologies upon which the CO2 emission standards are
based and why the standards are reasonable in light of these
technologies, based on all of the information available to us at the
time of this proposal.
B. Emission Inventory Comparison of Proposal and Slower Phase-In
Alternative
Both the proposal and alternative were modeled in MOVES3.R3 by
increasing ZEV adoption in HD vehicles, which means we model the
alternative as displacing fewer HD ICE vehicles than the proposal. In
general, this means the alternative has both lower downstream emission
reductions and lower upstream EGU emission increases when compared to
the proposal. Chapter 4.7 of the DRIA contains more discussion on the
emission impacts of the alternative.
1. Downstream Emission Comparison
Our estimates of the downstream emission reductions of GHGs that
would result from the alternative, relative to the reference case, are
presented in Table IX-7 for calendar years 2035, 2045, and 2055. Total
GHG emissions, or CO2 equivalent (CO2e), are
calculated by summing all GHG emissions multiplied by their 100-year
Global Warming Potential (GWP).
[[Page 26085]]
Table IX-7--Annual Downstream Heavy-Duty GHG Emission Reductions From the Alternative in Calendar Years (CY) 2035, 2045, and 2055
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 reductions CY 2045 reductions CY 2055 reductions
-----------------------------------------------------------------------------------------------
Pollutant 100-year GWP Million metric Million metric Million metric
tons Percent (%) tons Percent (%) tons Percent (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2).................... 1 36 9 73 19 90 22
Methane (CH4)........................... 25 0.003 5 0.011 17 0.022 22
Nitrous Oxide (N2O)..................... 298 0.005 9 0.009 17 0.011 20
CO2 Equivalent (CO2e)................... .............. 38 9 76 19 94 22
--------------------------------------------------------------------------------------------------------------------------------------------------------
Our estimated GHG emission reductions for the alternative are lower
than for the proposal (see Section V of the preamble). In 2055, we
estimate that the alternative would reduce emissions of CO2
by 22 percent (the proposal's estimate is 30 percent), methane by 22
percent (the proposal's estimate is 31 percent), and N2O by
20 percent (the proposal's estimate is 28 percent). The resulting total
GHG reduction, in CO2e, is 22 percent for the alternative
versus 30 percent for the proposal.
The warming impacts of GHGs are cumulative. Table IX-8 presents the
cumulative GHG reductions that would result from the proposed standards
and the alternative in 2055, in billion metric tons (BMT).
Table IX-8--Cumulative 2027-2055 Downstream Heavy-Duty GHG Emission Reductions From the Proposed Standards and
the Alternative
----------------------------------------------------------------------------------------------------------------
Proposal GHG reductions Alternative GHG reductions
Pollutant ---------------------------------------------------------------
BMT Percent (%) BMT Percent (%)
----------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2)............................ 2.2 18 1.6 13
Methane (CH4)................................... 0.00035 17 0.00025 12
Nitrous Oxide (N2O)............................. 0.00028 17 0.0002 12
CO2 Equivalent (CO2e)........................... 2.3 18 1.6 13
----------------------------------------------------------------------------------------------------------------
Consistent with Table IX-7, the cumulative GHG emission reductions
are smaller for the alternative than the proposal.
We anticipate an increase in the use of zero-emission technologies
to meet the CO2 emission standards for both the proposal and
the alternative. Therefore, we also expect downstream emission
reductions for criteria pollutants and air toxics would result from the
alternative, as presented in Table IX-9.
Table IX-9--Annual Downstream HD Criteria Pollutant and Air Toxic Emission Reductions From the Alternative in Calendar Years (CYs) 2035, 2045, and 2055
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 reductions CY 2045 reductions CY 2055 reductions
Pollutant -----------------------------------------------------------------------------------------------
U.S. tons Percent (%) U.S. tons Percent (%) U.S. tons Percent (%)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Nitrogen Oxides (NOX)................................... 11,471 3 40,460 15 51,027 20
Primary Exhaust PM2.5................................... 199 5 501 22 701 28
Volatile Organic Compounds (VOC)........................ 4,438 8 10,366 21 15,139 27
Sulfur Dioxide (SO2).................................... 147 10 298 19 373 23
Carbon Monoxide (CO).................................... 70,292 8 176,283 20 252,482 25
1,3-Butadiene........................................... 14 17 35 34 50 38
Acetaldehyde............................................ 91 8 216 22 326 26
Benzene................................................. 82 13 208 30 302 36
Formaldehyde............................................ 61 6 157 20 258 24
Naphthalene \a\......................................... 5 7 11 28 16 33
Ethylbenzene............................................ 52 9 128 22 195 30
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Naphthalene includes both gas and particle phase emissions.
Once again, the emission reductions in criteria pollutants and air
toxics that would result from the alternative are smaller than those
that would result from the proposal. For example, in 2055, we estimate
the alternative would reduce NOX emissions by 20 percent,
PM2.5 emissions by 28 percent, and VOC emissions by 27
percent. This is compared to the proposal's reductions of
NOX by 28 percent, PM2.5 by 39 percent, and VOC
by 37 percent for the proposal. Reductions in emissions for air toxics
from the alternative range from 24 percent for formaldehyde (the
proposal's estimate is 33 percent) to 38 percent for 1,3-butadiene (the
proposal's estimate is 51 percent).
[[Page 26086]]
2. Upstream Emission Comparison
Our estimates of the additional CO2 emissions from EGUs
due to the proposed standards, relative to the reference case, are
presented in Table IX-10 for calendar years 2035, 2045, and 2055.
Table IX-10--Annual Upstream EGU CO2 Emission Increases From the Alternative in Calendar Years (CYs) 2035, 2045,
and 2055
----------------------------------------------------------------------------------------------------------------
Additional EGU emissions (million metric tons)
Pollutant -----------------------------------------------
CY 2035 CY 2045 CY 2055
----------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2)............................................ 15 12 8
----------------------------------------------------------------------------------------------------------------
In 2055, we estimate the alternative would increase EGU emissions
of CO2 by 8 million metric tons, compared to 11 million
metric tons from the proposal. The EGU impacts decrease over time
because of projected changes in the power generation mix.
In Table IX-11, we present the cumulative CO2 increases
from EGUs that we expect would result from the proposal and
alternative, measured in billion metric tons (BMT).
Table IX-11--Cumulative 2027-2055 EGU CO2 Emission Increases Reflecting
the Proposed and Alternative GHG Standards
------------------------------------------------------------------------
EGU CO2 emissions increase
(BMT)
Pollutant -------------------------------
Proposal Alternative
------------------------------------------------------------------------
Carbon Dioxide (CO2).................... 0.4 0.3
------------------------------------------------------------------------
We estimate the alternative would result in 0.3 billion metric tons
of increased CO2 emissions from EGUs, compared to 0.4
billion metric tons from the proposal.
Table IX-12 contains our estimates of EGU emission increases from
the alternative for some criteria pollutants. In general, we expect the
EGU emissions increases from the alternative to be 20 to 30 percent
smaller than for the proposal.
Table IX-12--Annual Criteria Pollutant Emission Increases From EGUs From the Alternative in Calendar Years (CYs)
2035, 2045, and 2055
----------------------------------------------------------------------------------------------------------------
Additional EGU emissions (U.S. tons)
Pollutant -----------------------------------------------
CY 2035 CY 2045 CY 2055
----------------------------------------------------------------------------------------------------------------
Nitrogen Oxides (NOX)........................................... 2,054 1,625 575
Primary PM2.5................................................... 885 761 549
Volatile Organic Compounds (VOC)................................ 458 563 551
Sulfur Dioxide (SO2)............................................ 7,235 1,863 666
----------------------------------------------------------------------------------------------------------------
In addition to downstream and EGU emissions impacts, we also
estimated impacts on select criteria pollutant emissions from
refineries for calendar year 2055. This analysis assumes that the
reduction in demand for liquid fuels would lead to reduced activity and
emissions at refineries. The results are presented in Table IX-13.
Additional detail on the refinery analysis is available in Chapter
4.3.3 of the DRIA.
Table IX-13--Criteria Pollutant Emission Reductions From Refineries From
the Proposal and Alternative in 2055
------------------------------------------------------------------------
CY 2055 refinery emission
reductions (U.S. tons)
Pollutant -------------------------------
Proposal Alternative
------------------------------------------------------------------------
NOX..................................... 1,785 1,298
PM2.5................................... 436 318
VOC..................................... 1,227 894
SO2..................................... 642 468
------------------------------------------------------------------------
Like the downstream emission reductions and the EGU emission
increases, the refinery emission impacts of the alternative are 20 to
30 percent smaller than the proposal.
3. Comparison of Net Emissions Impacts
While we present a net emissions impact of the alternative
CO2 emission standards, it is important to note that some
upstream emission sources are not included in the analysis. Although we
expect the alternative to reduce demand for refined fuels, we did not
quantify emissions changes associated with producing or extracting
crude or transporting crude or refined fuels. Also, because our
analysis of refinery emissions only included select criteria
pollutants, refinery emission impacts are therefore included in net
criteria emission impacts for 2055 but not net CO2 emission
impacts. Therefore, this analysis likely underestimates the net
emissions reductions that may result from the alternative.
Table IX-14 shows a summary of our modeled downstream, upstream,
and net CO2 emission impacts of the alternative relative to
the reference case, in million metric tons, for calendar years 2035,
2045, and 2055.
[[Page 26087]]
Table IX-14--Annual Net CO2 Emission Impacts \a\ From the Alternative in Calendar Years (CYs) 2035, 2045, and 2055
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 impacts (MMT) CY 2045 impacts (MMT) CY 2055 impacts (MMT)
Pollutant -----------------------------------------------------------------------------------------------------------------------------------------------
Downstream EGU Net Downstream EGU Net Downstream EGU Net
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
CO2............................................. -36 15 -22 -73 12 -62 -90 8 -82
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
In 2055, we estimate the alternative would result in a net decrease
of 82 million metric tons of CO2 emissions. The net
reduction for the proposal is 114 million metric tons. The net
decreases become larger between 2035 and 2055 as we project the HD
fleet to turn over and the power grid to use less fossil fuels.
In Table IX-15, we present the cumulative net CO2
emissions impact that we expect would result from the proposed
standards and the alternative, in billion metric tons (BMT). Overall,
we expect downstream reduction in CO2 emissions to be far
larger than upstream increases from EGUs, and we expect the alternative
would result in a net reduction of 1.3 billion metric tons from CYs
2027 to 2055. This is about 28 percent less than the 1.8 billion metric
tons of cumulative CO2 emissions reductions we expect from
the proposal.
Table IX-15--Cumulative 2027-2055 EGU CO2 Emission Impacts \a\ (in BMT) of the Alternative
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alterative
Pollutant -----------------------------------------------------------------------------------------------
Downstream EGU Net Downstream EGU Net
--------------------------------------------------------------------------------------------------------------------------------------------------------
Carbon Dioxide (CO2).................................... -2.2 0.4 1.8 -1.6 0.3 1.3
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
Table IX-16 contains a summary of the modeled net impacts of the
alternative CO2 emission standards on criteria pollutant
emissions considering downstream and EGUs, relative to the reference
case for calendar years 2035 and 2045. Table IX-17 contains a similar
summary for calendar year 2055 that includes estimates of net impacts
of refinery, EGU, and downstream emissions.
Table IX-16--Annual Net Impacts \a\ on Criteria Pollutant Emissions From the Alternative in Calendar Years (CYs) 2035 and 2045
--------------------------------------------------------------------------------------------------------------------------------------------------------
CY 2035 impacts (U.S. tons) CY 2045 impacts (U.S. tons)
Pollutant -----------------------------------------------------------------------------------------------
Downstream EGU Net Downstream EGU Net
--------------------------------------------------------------------------------------------------------------------------------------------------------
NOX..................................................... -11,471 2,054 -9,417 -40,460 1,625 -38,836
PM2.5................................................... -199 885 687 -501 761 260
VOC..................................................... -4,438 458 -3,980 -10,366 563 -9,802
SO2..................................................... -147 7,235 7,088 -298 1,863 1,565
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
Table IX-17--Net Impacts \a\ on Criteria Pollutant Emissions From the Alternative in CY 2055
----------------------------------------------------------------------------------------------------------------
CY 2055 impacts (U.S. tons)
Pollutant ---------------------------------------------------------------
Downstream EGU Refinery Net
----------------------------------------------------------------------------------------------------------------
NOX............................................. -51,027 575 -1,298 -51,750
PM2.5........................................... -701 549 -318 -471
VOC............................................. -15,139 551 -894 -15,482
SO2............................................. -373 666 -468 -175
----------------------------------------------------------------------------------------------------------------
\a\ We present emissions reductions as negative numbers and emission increases as positive numbers.
[[Page 26088]]
By 2055, when considering downstream, EGU, and refinery emissions,
we estimate a net decrease in emissions from all pollutants modeled
(i.e., NOX, PM2.5, VOC, and SO2). In
earlier years, when considering only downstream and EGU emissions, we
estimate net decreases of NOX and VOC emissions, but net
increases of PM2.5 and SO2 emissions. These
increases become smaller over time. All net emission impacts for the
alternative, whether they are positive or negative, are smaller in
magnitude than for the proposal.
C. Program Costs Comparison of Proposal and Alternative
Using the cost elements outlined in Sections IV.B, IV.C, and IV.D,
we have estimated the costs associated with the proposal and
alternative relative to the reference case, as shown in Table IX-18.
Costs are presented in more detail in Chapter 3 of the DRIA. As noted
earlier, costs are presented in 2021 dollars in undiscounted annual
values along with net present values at both 3- and 7-percent discount
rates with values discounted to the 2027 calendar year.
As shown in Table IX-18, our analysis shows that the proposal
scenario would have the lowest cost.
Table IX-18--Total Technology, Operating Cost and EVSE Cost Impacts of the Proposed Option Relative to the Reference Case and the Alternative Option Relative to the Reference Case, All
Regulatory Classes and All Fuels,
[Millions of 2021 dollars] \a\
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------------------------------------------
Calendar year Total Total Total Total
technology operating Total EVSE Total program technology operating Total EVSE Total program
costs costs costs cost costs costs costs cost
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2027............................................................ $2,000 -$330 $1,300 $3,000 $920 -$180 $710 $1,400
2028............................................................ 1,800 -790 1,600 2,500 1,100 -490 1,100 1,600
2029............................................................ 1,700 -1,400 1,900 2,200 1,000 -920 1,300 1,400
2030............................................................ 2,000 -2,100 2,000 1,900 1,400 -1,400 1,500 1,400
2031............................................................ 2,300 -2,800 2,200 1,700 1,400 -2,000 1,700 1,100
2032............................................................ 2,000 -3,800 2,600 860 1,400 -2,700 1,900 510
2033............................................................ 1,500 -4,900 2,600 -820 960 -3,500 1,800 -710
2034............................................................ 1,300 -6,100 2,600 -2,200 810 -4,300 1,800 -1,700
2035............................................................ 1,000 -7,400 2,500 -3,800 620 -5,200 1,700 -2,900
2036............................................................ 750 -8,700 2,500 -5,500 440 -6,200 1,700 -4,000
2037............................................................ 620 -10,000 2,500 -7,000 350 -7,200 1,700 -5,100
2038............................................................ 410 -12,000 2,500 -8,700 200 -8,200 1,700 -6,300
2039............................................................ 220 -13,000 2,600 -10,000 70 -9,100 1,800 -7,300
2040............................................................ 140 -14,000 2,600 -12,000 9 -10,000 1,800 -8,400
2041............................................................ -40 -16,000 2,600 -13,000 -120 -11,000 1,800 -9,400
2042............................................................ -200 -17,000 2,600 -15,000 -230 -12,000 1,800 -10,000
2043............................................................ -360 -18,000 2,700 -16,000 -340 -13,000 1,800 -12,000
2044............................................................ -410 -20,000 2,700 -18,000 -370 -14,000 1,900 -13,000
2045............................................................ -550 -21,000 2,700 -19,000 -480 -15,000 1,900 -13,000
2046............................................................ -690 -22,000 2,700 -20,000 -570 -16,000 1,900 -14,000
2047............................................................ -820 -23,000 2,700 -22,000 -670 -17,000 1,900 -15,000
2048............................................................ -850 -24,000 2,700 -22,000 -680 -17,000 1,900 -16,000
2049............................................................ -970 -25,000 2,800 -23,000 -770 -18,000 1,900 -17,000
2050............................................................ -1,100 -26,000 2,800 -24,000 -850 -18,000 1,900 -17,000
2051............................................................ -1,100 -27,000 2,800 -25,000 -860 -19,000 2,000 -18,000
2052............................................................ -1,200 -28,000 2,900 -26,000 -940 -20,000 2,000 -19,000
2053............................................................ -1,300 -29,000 2,900 -27,000 -1,000 -21,000 2,000 -20,000
2054............................................................ -1,400 -30,000 2,900 -28,000 -1,100 -21,000 2,000 -20,000
2055............................................................ -1,500 -31,000 2,900 -29,000 -1,200 -22,000 2,100 -21,000
PV, 3%.......................................................... 9,000 -250,000 47,000 -190,000 4,000 -180,000 33,000 -140,000
PV, 7%.......................................................... 10,000 -120,000 29,000 -85,000 5,400 -87,000 20,000 -62,000
EAV, 3%......................................................... 470 -13,000 2,500 -10,000 210 -9,100 1,700 -7,200
EAV, 7%......................................................... 820 -10,000 2,300 -6,900 440 -7,100 1,600 -5,100
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Values show 2 significant digits; negative cost values denote savings; calendar year values are undiscounted, present values are discounted to 2027. Program Cost is the sum of Total Tech
Cost, Total Operating Cost, and total EVSE costs.
D. Benefits
1. Social Cost of GHGs
Our estimates of the climate benefits from the GHG emissions
reductions associated with the alternative are similar to those
discussed for the proposal in Section VII of this preamble. Table IX-19
presents the estimated annual, undiscounted climate benefits (i.e.,
total GHG benefits), and consequently the annual quantified benefits
(i.e., total GHG benefits), for each of the four interim social cost of
GHG (SC-GHG) values estimated by the Interagency Working Group on
Social Cost of Greenhouse Gases \1007\ for the years beginning with the
first year of rule implementation, 2027, through 2055 for the proposed
program. Also shown are the present values and equivalent annualized
values associated with each of the four interim SC-GHG values. For more
detailed information about the climate benefits analysis conducted for
the proposed and alternative programs, please refer to Section 7.1 of
the draft RIA. Our analysis includes CO2 emission increases
from EGUs (see Section V and Section IX.B); however, it does not
include upstream emissions impacts associated with liquid fuel
refining.
---------------------------------------------------------------------------
\1007\ Interagency Working Group on Social Cost of Greenhouse
Gases (IWG). 2021. Technical Support Document: Social Cost of
Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive
Order 13990. February. United States Government. Available at:
https://www.whitehouse.gov/briefing-room/blog/2021/02/26/a-return-to-science-evidence-based-estimates-of-the-benefits-of-reducing-climate-pollution/.
[[Page 26089]]
Table IX-19--Climate Benefits from Reduction in GHG Emissions Associated with the Proposal and Alternative, Millions of 2021 Dollars
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------------------------------------------
Calendar year Total Total Total Total
technology operating Total EVSE Total program technology operating Total EVSE Total program
costs costs costs cost costs costs costs cost
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5% Average...................................................... 3% Average 2.5% Average 3% 95th 5% Average 3% Average 2.5% Average 3% 95th
Percentile Percentile
2027............................................................ 33 $110 $160 $320 $17 $57 $83 $170
2028............................................................ 74 240 350 710 45 140 210 430
2029............................................................ 120 400 580 1,200 80 250 370 760
2030............................................................ 190 610 880 1,800 130 420 610 1,300
2031............................................................ 290 900 1,300 2,700 200 630 910 1,900
2032............................................................ 410 1,300 1,800 3,800 290 890 1,300 2,700
2033............................................................ 530 1,600 2,300 4,900 380 1,200 1,700 3,500
2034............................................................ 660 2,000 2,800 6,000 470 1,400 2,000 4,300
2035............................................................ 780 2,300 3,300 7,100 550 1,700 2,400 5,000
2036............................................................ 940 2,800 4,000 8,500 670 2,000 2,800 6,000
2037............................................................ 1,100 3,300 4,700 9,900 790 2,300 3,300 7,100
2038............................................................ 1,300 3,800 5,400 12,000 920 2,700 3,800 8,200
2039............................................................ 1,500 4,300 6,100 13,000 1,100 3,100 4,400 9,400
2040............................................................ 1,700 4,900 6,900 15,000 1,200 3,500 4,900 11,000
2041............................................................ 1,900 5,400 7,600 16,000 1,400 3,900 5,400 12,000
2042............................................................ 2,100 5,900 8,300 18,000 1,500 4,200 5,900 13,000
2043............................................................ 2,300 6,500 9,000 20,000 1,700 4,600 6,500 14,000
2044............................................................ 2,500 7,000 9,800 21,000 1,800 5,000 7,000 15,000
2045............................................................ 2,700 7,500 10,000 23,000 2,000 5,400 7,500 16,000
2046............................................................ 2,900 8,000 11,000 24,000 2,100 5,700 7,900 17,000
2047............................................................ 3,100 8,400 12,000 26,000 2,200 6,000 8,300 18,000
2048............................................................ 3,300 8,800 12,000 27,000 2,300 6,300 8,700 19,000
2049............................................................ 3,500 9,200 13,000 28,000 2,500 6,600 9,100 20,000
2050............................................................ 3,700 9,700 13,000 30,000 2,600 7,000 9,600 21,000
2051............................................................ 3,800 10,000 14,000 30,000 2,700 7,200 9,900 22,000
2052............................................................ 4,000 10,000 14,000 31,000 2,900 7,400 10,000 22,000
2053............................................................ 4,100 11,000 15,000 32,000 3,000 7,600 10,000 23,000
2054............................................................ 4,300 11,000 15,000 32,000 3,100 7,800 11,000 23,000
2055............................................................ 4,400 11,000 15,000 33,000 3,200 8,000 11,000 24,000
PV.............................................................. 22,000 87,000 130,000 260,000 16,000 62,000 96,000 190,000
EAV............................................................. 1,400 4,600 6,500 14,000 1,000 3,300 4,700 9,900
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2. Criteria Pollutant Reductions
Table IX-20 presents the total annual, undiscounted
PM2.5-related health benefits estimated for the stream of
years beginning with the first year of rule implementation, 2027,
through calendar year 2055 for the proposed and alternative programs.
The range of benefits in Table IX-20 reflects the range of premature
mortality estimates based on risk estimates reported from two different
long-term exposure studies using different cohorts to account for
uncertainty in the benefits associated with avoiding PM-related
premature deaths.1008 1009 Although annual benefits
presented in the table are not discounted for the purposes of present
value or annualized value calculations, annual benefits do reflect the
use of 3-percent and 7-percent discount rates to account for avoided
health outcomes that are expected to accrue over more than a single
year (the ``cessation lag'' between the change in PM exposures and the
total realization of changes in health effects). The table also
displays the present and annualized value of estimated benefits that
occur from 2027 to 2055, discounted using both 3-percent and 7-percent
discount rates and reported in 2021 dollars. We estimate that the
present value of benefits for the alternative program is $11 to $21
billion at a 3 percent discount rate and $4.2 to $8.2 billion at a 7
percent discount rate (2021 dollars), which is less than that of the
proposed program. For more detailed information about the benefits
analysis conducted for the proposed and alternative programs, please
refer to Chapter 7 of the draft RIA.
---------------------------------------------------------------------------
\1008\ Wu, X, Braun, D, Schwartz, J, Kioumourtzoglou, M and
Dominici, F (2020). Evaluating the impact of long-term exposure to
fine particulate matter on mortality among the elderly. Science
advances 6(29): eaba5692.
\1009\ Pope III, CA, Lefler, JS, Ezzati, M, Higbee, JD,
Marshall, JD, Kim, S-Y, Bechle, M, Gilliat, KS, Vernon, SE and
Robinson, AL (2019). Mortality risk and fine particulate air
pollution in a large, representative cohort of US adults.
Environmental health perspectives 127(7): 077007.
Table IX--20-Year-Over-Year Monetized PM2.5-Related Health Benefits Associated With the Proposal and Alternative
[Millions of 2021 Dollars]
----------------------------------------------------------------------------------------------------------------
Proposal Alternative
---------------------------------------------------------------------------
3% Discount rate 7% Discount rate 3% Discount rate 7% Discount rate
----------------------------------------------------------------------------------------------------------------
2027................................ $6.4-13 $5.7-12 $4.7-9.6 $4.2-8.7
2028................................ 15-31 13-28 12-25 11-22
2029................................ 26-53 23-48 22-44 19-40
2030................................ 16-33 14-30 12-24 11-21
2031................................ (22)-(45) (20)-(40) (6.8)-(18) (6.2)-(16)
[[Page 26090]]
2032................................ (70)-(140) (64)-(130) (37)-(82) (34)-(74)
2033................................ (120)-(240) (110)-(210) (67)-(150) (61)-(130)
2034................................ (160)-(330) (150)-(300) (97)-(210) (88)-(190)
2035................................ (210)-(410) (190)-(370) (120)-(260) (110)-(240)
2036................................ (110)-(220) (100)-(200) (57)-(130) (53)-(110)
2037................................ 31-62 27-57 42-76 37-67
2038................................ 220-440 200-400 180-340 160-310
2039................................ 440-880 400-790 340-660 300-590
2040................................ 700-1,400 630-1,300 520-1,000 470-920
2041................................ 870-1,700 780-1,500 630-1,200 570-1,100
2042................................ 1,000-2,100 940-1,900 750-1,500 680-1,300
2043................................ 1,200-2,400 1,100-2,200 880-1,700 790-1,600
2044................................ 1,400-2,800 1,300-2,500 1,000-2,000 920-1,800
2045................................ 1,600-3,100 1,400-2,800 1,200-2,300 1,000-2,000
2046................................ 1,700-3,400 1,600-3,100 1,300-2,400 1,100-2,200
2047................................ 1,900-3,600 1,700-3,300 1,300-2,600 1,200-2,400
2048................................ 2,000-3,900 1,800-3,500 1,400-2,800 1,300-2,500
2049................................ 2,100-4,100 1,900-3,700 1,500-3,000 1,400-2,700
2050................................ 2,300-4,400 2,000-3,900 1,600-3,100 1,500-2,800
2051................................ 2,300-4,500 2,100-4,100 1,700-3,300 1,500-2,900
2052................................ 2,400-4,700 2,200-4,200 1,800-3,400 1,600-3,000
2053................................ 2,500-4,800 2,300-4,400 1,800-3,500 1,600-3,100
2054................................ 2,600-5,000 2,300-4,500 1,900-3,600 1,700-3,200
2055................................ 2,700-5,200 2,400-4,600 1,900-3,700 1,700-3,300
PV.................................. 15,000-29,000 5,800-11,000 11,000-21,000 4,200-8,200
EAV................................. 780-1,500 470-910 570-1,100 340-670
----------------------------------------------------------------------------------------------------------------
Notes:The range of benefits in this table reflect the range of premature mortality estimates derived from the
Medicare study (Wu et al., 2020) and the NHIS study (Pope et al., 2019). All benefits estimates are rounded to
two significant figures. Annual benefit values presented here are not discounted. Negative values in
parentheses are health disbenefits related to increases in estimated emissions. The present value of benefits
is the total aggregated value of the series of discounted annual benefits that occur between 2027-2055 (in
2021 dollars) using either a 3% or 7% discount rate. The benefits associated with the standards presented here
do not include health benefits associated with reduced criteria pollutant emissions from refineries. The
benefits in this table also do not include the full complement of health and environmental benefits that, if
quantified and monetized, would increase the total monetized benefits.
3. Energy Security
In Table IX-21, EPA presents the macroeconomic oil security
premiums and the energy security benefits for the alternative
CO2 emission standards for the years 2027 through 2055. The
oil security premiums and the energy security benefits for the proposed
CO2 emission standards can be found in Section VII.
---------------------------------------------------------------------------
\1010\ ORNL's oil security premium methodology provides
estimates through 2050. For years 2051-2055 we use the value of the
2050 oil security premium.
Table IX--21 Oil Security Premiums (2021$/barrel) and the Energy Security Benefits (Millions of 2021$) from 2027-
2055 for Alternative GHG Emission Standards \1010\
----------------------------------------------------------------------------------------------------------------
Benefits
Calendar year Oil security -------------------------------
premium (range) Proposal Alternative
----------------------------------------------------------------------------------------------------------------
2027......................................................... $3.57 $15 $8
($0.79-$6.65)
2028......................................................... $3.65 33 20
($0.80-$6.79)
2029......................................................... $3.72 55 35
($0.80-$6.92)
2030......................................................... $3.79 91 63
($0.81-$7.06)
2031......................................................... $3.87 140 100
($0.85-$7.22)
2032......................................................... $3.96 210 150
($0.89-$7.38)
2033......................................................... $4.04 280 200
($0.92-$7.53)
2034......................................................... $4.13 350 250
($0.96-$7.69)
[[Page 26091]]
2035......................................................... $4.21 420 300
($1.00-$7.85)
2036......................................................... $4.29 490 350
($1.03-$7.98)
2037......................................................... $4.36 560 400
($1.06-$8.11)
2038......................................................... $4.44 620 450
($1.10-$8.24)
2039......................................................... $4.51 690 490
($1.13-$8.37)
2040......................................................... $4.59 750 530
($1.16-$8.50)
2041......................................................... $4.65 800 570
($1.19-$8.62)
2042......................................................... $4.71 850 610
($1.21-$8.73)
2043......................................................... $4.76 900 650
($1.24-$8.85)
2044......................................................... $4.82 940 680
($1.26-$8.96)
2045......................................................... $4.88 990 710
($1.29-$9.08)
2046......................................................... $4.94 1,000 740
($1.32-$9.18)
2047......................................................... $5.00 1,100 760
($1.35-$9.28)
2048......................................................... $5.06 1,100 790
($1.37-$9.37)
2049......................................................... $5.12 1,100 810
($1.40-$9.46)
2050......................................................... $5.18 1,200 840
($1.43-$9.56)
2051......................................................... $5.18 1,200 850
($1.43-$9.56)
2052......................................................... $5.18 1,200 870
($1.43-$9.56)
2053......................................................... $5.18 1,200 890
($1.43-$9.56)
2054......................................................... $5.18 1,300 900
($1.43-$9.56)
2055......................................................... $5.18 1,300 910
($1.43-$9.56)
PV, 3%....................................................... ................. 12,000 8,500
PV, 7%....................................................... ................. 6,000 4,300
EAV, 3%...................................................... ................. 620 440
EAV, 7%...................................................... ................. 490 350
----------------------------------------------------------------------------------------------------------------
E. How do the proposal and alternative compare in overall benefits and
costs?
Table IX-22 shows the net benefits for the proposal and alternative
relative to the baseline, at 3 percent and 7 percent discount rates,
respectively. Section VIII.B of this preamble and Chapter 7 of the DRIA
present more detailed results. These net benefits include benefits
associated with reduced vehicle GHG and non-GHG emissions and EGU CO2
emissions, but do not include any impacts associated with petroleum
extraction, transportation or liquid fuel refining.
Table IX-22--Net Benefits Associated With the Proposal and Alternative
[Millions of 2021 dollars]
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Proposal Alternative
-------------------------------------------------------------------------------------------------------------------------------
3% 95th 3% 95th
5% Average 3% Average 2.5% Average Percentile 5% Average 3% Average 2.5% Average Percentile
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2055............................................................ $39,000 $46,000 $50,000 $68,000 $28,000 $33,000 $36,000 $49,000
PV, 3%.......................................................... 260,000 320,000 370,000 500,000 180,000 230,000 260,000 360,000
PV, 7%.......................................................... 120,000 180,000 230,000 360,000 86,000 130,000 170,000 260,000
EAV, 3%......................................................... 14,000 17,000 19,000 26,000 9,800 12,000 13,000 19,000
[[Page 26092]]
EAV, 7%......................................................... 9,300 12,000 14,000 22,000 6,800 9,000 10,000 16,000
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Notes: Climate benefits are based on changes (reductions) in CO2, CH4, and N2O emissions and are calculated using four different estimates of the social cost of carbon (SC-CO2), the social
cost of methane (SC-CH4), and the social cost of nitrous oxide (SC-N2O) (model average at 2.5 percent, 3 percent, and 5 percent discount rates; 95th percentile at 3 percent discount rate).
We emphasize the importance and value of considering the benefits calculated using all four SC-CO2, SC-CH4, and SC-N2O estimates. As discussed in the Technical Support Document: Social Cost
of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990 (IWG 2021), a consideration of climate benefits calculated using discount rates below 3 percent, including
2 percent and lower, are also warranted when discounting intergenerational impacts. The same discount rate used to discount the value of damages from future emissions (SC-GHG at 5, 3, 2.5
percent) is used to calculate present value of SC-GHGs for internal consistency, while all other costs and benefits are discounted at either 3 percent or 7 percent. Annual costs and benefits
in 2055 shown are undiscounted values. Note that the non-GHG impacts associated with the standards included here do not include the full complement of health and environmental effects that,
if quantified and monetized, would increase the total monetized benefits. Instead, the non-GHG benefits are based on benefit-per-ton values that reflect only human health impacts associated
with reductions in PM2.5 exposure. For the purposes of presentational clarity in the calculation of net benefits, PM2.5-related benefits are averaged across the range of alternative
estimates for 2055. For PV and EAV estimated with a 3 percent discount rate, we calculate net benefits using PM2.5-related benefits based on the Pope III et al., 2019 study of premature
mortality. For PV and EAV estimated with a 7 percent discount rate, net benefits reflect PM2.5-related benefits based on the Wu et al., 2020 study.
X. Preemption of State Standards and Requirements for New Locomotives
or New Engines Used in Locomotives
A. Overview
In April of 1998, EPA adopted its first-ever regulations addressing
air pollutant emissions from new locomotives and new locomotive engines
(including freshly built and remanufactured) under CAA section
213(a)(5), 42 U.S.C. 7547(a)(5).\1011\ As part of the 1998 final rule
EPA also promulgated regulations designed to codify the nonroad
preemption provisions of section 209(e) of the CAA and to clarify the
prohibition on certain new nonroad engines or nonroad vehicles
standards by states or political subdivisions and other requirements
relating to the control of emissions, including from new locomotives or
new engines used in locomotives. EPA adopted a regulation that set a
period equivalent in length to 133 percent of the regulatory useful
life of a new locomotive or engine during which certain non-Federal
requirements are preempted from applying to locomotives or engines used
in locomotives.\1012\ EPA also adopted regulations to implement the CAA
provisions allowing California to request authorization for other non-
Federal requirements on non-new locomotives and engines used in
locomotives not otherwise prohibited.\1013\
---------------------------------------------------------------------------
\1011\ Emission Standards for Locomotives and Locomotive
Engines, 63 FR 18978 (April 16, 1998), codified at 40 CFR parts 85,
89 and 92.
\1012\ For purely informational purposes, EPA notes that it is
not aware that its regulations addressing the scope of preemption of
state regulation of other types of nonroad engines and nonroad
vehicles present the concerns described here relating to
locomotives. Moreover, EPA's regulations do not set an equivalent
period of preemption for any other class of nonroad engines (other
than locomotives). EPA has issued several authorizations of
California regulations relating to other non-new nonroad standards.
See 80 FR 76468 (December 9, 2015); 78 FR 58090 (September 20,
2013). This action does not reopen any aspect of EPA's preemption
regulations, policies, or actions regarding any other nonroad
engines or vehicles, or regarding any other topics besides those
expressly described in the text of the preamble and the proposed
regulations.
\1013\ To avoid confusion of the term ``used'' sometimes meaning
``placed or mounted,'' we employ the term ``non-new'' to describe
engines that do not meet the definition of ``new'' in section
1074.5.
---------------------------------------------------------------------------
CAA section 209(e)(2)(B) requires EPA to promulgate regulations
implementing subsection 209(e), which addresses the prohibition of
state standards regarding certain classes of nonroad engines or
vehicles and potential EPA authorization of state standards for other
nonroad engines or vehicles. The prohibited state standards or other
requirements relating to the control of emissions include, under CAA
section 209(e)(1)(B), those affecting new locomotives or new engines
used in locomotives. Such state requirements cannot be authorized by
EPA under section 209(b), pursuant to the final sentence of section
209(e)(1), or under section 209(e)(2). However, section 209(e)(2)
requires EPA to authorize, subject to certain criteria, California's
adoption and enforcement of standards and other requirements relating
to control of emissions from nonroad vehicles or engines other than
those referred to in paragraph 209(e)(1), which would include non-new
locomotives and non-new engines used in locomotives.
EPA is concerned that our preemption regulations as adopted,
particularly in extending preemption well beyond the CAA language of
prohibiting the state regulation of new locomotives and new engines
used in locomotives and to an extended point at which locomotives and
engines are no longer new, may no longer be appropriate.\1014\
Specifically, our existing regulations may have the unintended effect
of both exceeding Congress' prescribed prohibition on state regulation
of new locomotives and engines in section 209(e)(1) and impeding states
from adopting innovative programs to reduce locomotive emissions that
may be permissible under CAA section 209(e)(2). In this rule, EPA
proposes to revise our locomotive preemption regulations to better
align with the precise language Congress provided in section 209(e) and
the Congressional directive to EPA to implement the prohibition of
state regulation of new locomotives and new engines used in locomotives
while ensuring that states are not impeded from adopting programs as
allowed by the CAA to address the contribution of air pollutant
emissions from non-new locomotives and engines to their air quality
issues. In this section, EPA outlines the reasons that its previous
extension of the categorical prohibition of state regulations
applicable to locomotives and engines up to 133 percent of the
regulatory useful life is not required by the CAA and may no longer be
appropriate considering developments since the 1998 rule. We believe it
is necessary to better align our regulatory text with the plain
language of the CAA to provide regulatory space for state controls that
do not inappropriately affect the design and manufacture of new
locomotives or new engines used in locomotives.
---------------------------------------------------------------------------
\1014\ EPA announced an intent to review this issue in November
2022. See https://www.epa.gov/regulations-emissions-vehicles-and-engines/petitions-address-harmful-emissions-locomotives.
---------------------------------------------------------------------------
B. Background
1. EPA's New Locomotive and Engine Standards and the Regulated Fleet
\1015\
---------------------------------------------------------------------------
\1015\ EPA provides this discussion of the Federal locomotive
requirements under the CAA for background purposes only. In this
proposal, EPA is not reopening the Federal locomotive requirements,
and any comments on such will be deemed beyond the scope of the
action.
---------------------------------------------------------------------------
The Clean Air Act amendments of 1990 called on EPA to adopt
emission
[[Page 26093]]
standards for new locomotives and new locomotive engines to achieve the
greatest degree of emission reduction achievable through the
application of technology which EPA determines will be available for
the locomotives or engines, giving appropriate consideration to the
cost of applying such technology within the period of time available to
manufacturers and to associated noise, energy, and safety factors. CAA
section 213(a)(5), 42 U.S.C. 7547(a)(5). From the beginning, EPA's new
locomotive emission control program identified two ways by which
locomotives and engines would be deemed ``new'' and thus subject to the
standards: EPA imposed emission standards for so-called ``freshly
manufactured'' locomotives that have increasing stringency levels based
on which ``Tier'' the new locomotive belongs to, and We applied
emission standards for older locomotives built beginning in 1973 that
would apply when those older locomotives are ``remanufactured'' (all of
the power assemblies are either replaced or are inspected and
requalified either all at once or within a 5-year period) according to
their original Tier. This approach was necessary due to the very long
service lives of locomotives. As we explained in the 1998 rule, the
service life of a locomotive can extend to 40 years and beyond, during
which period the engine and the locomotive undergo several extensive
remanufacturing operations that EPA has determined makes the locomotive
or engine ``new'' again. These remanufacturing operations generally
consist of, at a minimum, the replacement of the power assemblies
(i.e., pistons, piston rings, cylinder liners, cylinder heads, fuel
injectors, valves, etc.) with new components (or components that are in
new condition) to restore the locomotive to the condition it was in
when originally manufactured with respect to performance, durability,
and emissions. Because they are designed to be rebuilt on a regular
schedule, locomotives can remain in service as long as the main engine
block remains serviceable. EPA's locomotive remanufacture program
reduces emissions from these older locomotives, which are fitted with
better parts and systems when they are remanufactured and become
``new'' again. However, the stringency of the remanufacture standards
has been limited by the extent to which new emission control technology
can be retrofit on these older designs.
Not surprisingly, recent fleet profile data shows that the in-
service locomotive fleet continues to be dominated by Tier 2 and
earlier locomotives subject to EPA's less stringent emission
standards.\1016\ According to data supporting EPA's 2020 National
Emission Inventory, there are 16,787 locomotives in the Class I line-
haul fleet.\1017\ Of these, about 26 percent are Tier 3 or Tier 4
locomotives subject to more stringent emission standards.\1018\ The
other 74 percent are Tier 2 or earlier locomotives, broken down as
follows: About 62 percent are remanufactured to the revised
remanufacture standards adopted in 2008; 11 percent have not been
remanufactured and continue to have the higher emissions of their
original certification tier; and a small number, about 1 percent, are
unregulated (pre-1973) locomotives. Class II and III \1019\ railroads
are not generally subject to remanufacturing obligations. To the extent
one of these railroads purchases a locomotive that was previously
certified to EPA's standards, then the railroad must ensure the
locomotive continues to comply with those standards. The Class II and
III line-haul fleet consists of 3,447 locomotives. Of these, about 7
percent are Tier 3 or 4 locomotives. The other 93 percent are Tier 2 or
earlier, broken down as follows: About 39 percent of the locomotives
are unregulated (pre-1973); 48 percent are Tier 0; and The other six
percent are Tier 1 or Tier 2.
---------------------------------------------------------------------------
\1016\ 2020 National Emissions Inventory Locomotive Methodology
Prepared for U.S. Environmental Protection Agency by Eastern
Research Group, Inc. (May 19, 2022). https://gaftp.epa.gov/air/nei/2020/doc/supporting_data/nonpoint/Rail/2020_NEI_Rail_062722.pdf.
\1017\ The current classification of railroads adopted by the
Surface Transportation Board (STB) in 2021 is based on annual
carrier operating revenue, as follows: Class I railroads, greater
than $943.9 million; Class II railroads, $42.4 to $943.9 million;
Class III railroads less than $42.4 million. See 49 CFR 1201 (1-1
Classification of Carriers).
\1018\ EPA took action to set additional emission standards for
new locomotives and engines in 2008; see final rule published at 73
FR 37096 (June 30, 2008), Control of Emissions of Air Pollution From
Locomotive Engines and Marine Compression-Ignition Engines Less Than
30 Liters per Cylinder.
\1019\ Ibid.
---------------------------------------------------------------------------
Given the large share of older locomotives in the Class I, II and
III railroad fleets, and their emissions contribution to ambient
concentrations of air pollution that may cause violations of national
ambient air quality standards (NAAQS), states and local entities who
must develop state implementation plans (SIPs) demonstrating attainment
of NAAQS have expressed interest in obtaining greater emissions
reductions from this sector, including possibly adopting programs to
achieve greater emission reductions from non-new locomotives beyond
those achieved by EPA's standards applicable to new locomotives. States
and local entities have expressed particular interest in addressing
emissions from non-new locomotives for areas located along high traffic
rail lines and/or in communities with environmental justice concerns.
However, notwithstanding Congress' provision in section 209(e)(2) for
EPA to authorize such state efforts, subject to certain criteria, the
agency now believes that the pre-emption regulation for locomotives
adopted in the 1998 rule might preclude states (following California as
described Section X.B.2) from exploring some innovative local programs.
2. EPA's Regulatory Preemption of State Control of Locomotive and
Engine Emissions
As part of the 1998 locomotive rule EPA established regulations
that prohibited state regulation of new locomotives and new engines
used in locomotives. This is currently reflected in the regulatory text
of 40 CFR 1074.12(a), and reflects Congress' command in CAA section
209(e)(1)(B). In addition, to provide certainty to state, localities,
and industry regarding the period when certain state controls would be
prohibited under 209(e)(1)(B), EPA also provided that such prohibition
would last for a period equal to 133 percent of the useful life of a
new locomotive or new engine used in a locomotive--even after the
locomotive or engine was placed into service and ceased to be ``new.''
\1020\ This is currently reflected at section 1074.12(b) of EPA's rule,
along with several specific types of standards or other requirements
that EPA then concluded are preempted. This decision to codify a
prohibition period extending beyond when locomotives are new and to
enumerate several preempted types of requirements was based on EPA's
understanding of the nature of the locomotive industry, the regulatory
landscape, and the then-existing emission control technologies
considering the CAA and other relevant legal considerations.\1021\
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\1020\ Proposed Rule: Emission Standards for Locomotives and
Locomotive Engines, 62 FR 6366 (February 11, 1997)
\1021\ These considerations included: The language of the CAA
and its legislative history (62 FR 6397-6398; Summary and Analysis
of Comments on the Notice of Proposed Rulemaking for Emission
Standards for Locomotives and Locomotive Engines, 1998), p. 12;
court rulings (see 62 FR 6397, see also Allway Taxi, Inc. v. City of
New York, 340 F. Supp. 1120, 1124 (S.D.N.Y. 1972)); Constitutional
concerns (Summary and Analysis of Comments on the Notice of Proposed
Rulemaking for Emission Standards for Locomotives and Locomotive
Engines, 1998, pp. 13, 17, 18); and Technical challenges of states
regulating non-new locomotives and engines used in locomotives
(Summary and Analysis of Comments on the Notice of Proposed
Rulemaking for Emission Standards for Locomotives and Locomotive
Engines, 1998, Chapter 1 Section C).
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[[Page 26094]]
In 1998, the locomotive manufacturers and remanufacturers were
anticipating a need to develop emission technologies to apply to their
locomotive engines with uncontrolled emissions to comply with the first
three Tiers of locomotive emission standards (Tiers 0, 1, and 2). They
would eventually need to apply technology to meet Tiers 3 and 4,
adopted in 2008 and fully phased-in by 2015. As EPA explained in 1998,
there was a risk that some state regulations could have affected the
design and manufacture of new locomotives and new engines used in
locomotives (including freshly manufactured and remanufactured), and
additional certainty was determined to be beneficial for all interested
parties.\1022\ At the same time, in the 1998 rulemaking EPA explained
that states may regulate the use and operation of locomotives in a
manner that does not significantly affect the design or manufacture of
a new (including remanufactured) locomotive or engine, potentially
allowing states to control nuisances, and that California (and other
states following California) may obtain an EPA authorization (waiver of
Federal preemption) for standards and other requirements relating to
the control of emissions from non-new locomotives and non-new engines
used in locomotives, provided they did not significantly affect the
design and manufacture of new locomotives or engines.\1023\ This
allowance is currently reflected in EPA's rules at section 1074.101
through 1074.115. However, to date California has not sought EPA
authorization under section 209(e) of any program to address emissions
from non-new locomotives or engines.
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\1022\ 63 FR 18979 and 18993-18994.
\1023\ Summary and Analysis of Comments on the Notice of
Proposed Rulemaking for Emission Standards for Locomotives and
Locomotive Engines, EPA, EPA-420-R-97-101, pp. 17-18.
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By defining the period of preemption to be 133 percent of the
useful life of a new locomotive or engine EPA intended to preclude
certain forms of potential state regulation of non-new locomotives due
to the concern they could significantly impact the design and
manufacture of new locomotives and new engines used in locomotives.
EPA's intention to preclude some but not all forms of state regulation
is clearly discussed in the 1997 NPRM,\1024\ in the Summary and
Analysis of Comments,\1025\ and in the final 1998 rulemaking \1026\
where we explained that ``The list of state controls that are
explicitly preempted under today's regulation is not intended to be
exclusive'' \1027\ and ``. . . all state requirements relating to the
control of emissions from in-use locomotives and locomotive engines,
including state requirements not listed as preempted [. . .], are
subject to section 209(e)(2)'s waiver requirement.'' \1028\ This
preemption language was recodified in the sections of 40 CFR part 1074,
in October of 2008, as part of EPA's final rule establishing standards
for the Control of Emissions from Nonroad Spark-Ignition Engines and
Equipment.\1029\
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\1024\ See 62 FR 6366, 6398, and 6399.
\1025\ Summary and Analysis of Comments on the Notice of
Proposed Rulemaking for Emission Standards for Locomotives and
Locomotive Engines, EPA, EPA-420-R-97-101, pp. 15-19.
\1026\ See 63 FR 18978.
\1027\ 63 FR 18994.
\1028\ Ibid.
\1029\ Oct 8, 2008, 73 FR 59033, Control of Emissions from
Nonroad Spark-Ignition Engines & Equipment.
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C. Evaluation of Impact of Regulatory Preemption
In EPA's final 1998 action, EPA adopted regulations preempting
certain state and local controls of locomotives and engines used in
locomotives, which we determined to be appropriate based on our
understanding of the information at the time.\1030\ The intent of these
regulations was to provide ``certainty with respect to when state
controls would be preempted'' (62 FR 6398) and determine that ``certain
categories of potential state requirements would be preempted under the
proposed approach'' (62 FR 6398).
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\1030\ See, 63 FR at 18993-18994, codified at 40 CFR 85.1603
Application of definitions; scope of preemption. This was later
recodified at 40 CFR 1074.12; see 73 FR 59034 (Oct. 8, 2008).
---------------------------------------------------------------------------
EPA's explanation for the preemptions was particularly focused on
specific types of controls listed in 40 CFR 1074.12(b), which we deemed
categorically preempted for locomotives and engines up to 133 percent
of the regulatory useful life.\1031\ For all other types of controls,
the 1998 Locomotive final rulemaking stated that ``. . . all state
requirements relating to the control of emissions from in-use
locomotives and locomotive engines, including state requirements not
listed as preempted in 40 CFR 85.1603(c)(1), are subject to section
209(e)(2)'s waiver requirement.'' \1032\ Further, in our response to
comments regarding preemption of state regulations we explained,
``states may regulate the use and operation of locomotives in a manner
that does not significantly affect the design or manufacture of a new
(including remanufactured) locomotive or engine, potentially allowing
states to control nuisances.'' \1033\ As an example, the final rule
deviated from the proposal by excluding state in-use testing programs
using the Federal test procedure from the list of preempted controls
because EPA could not determine that it would violate
209(e)(1)(B).\1034\ While these aspects of the 1998 rule make a case
that there are opportunities for California to obtain authorization
under CAA 209(e)(2) for eligible measures, we are concerned that the
effect of our 1998 regulation has been to discourage consideration of
all such opportunities.
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\1031\ Including but not limited to emission standards,
mandatory fleet average standards, certification requirements,
retrofit and aftermarket equipment requirements, and non-Federal in-
use testing requirements.
\1032\ See, 63 FR 18994.
\1033\ Summary and Analysis of Comments on the Notice of
Proposed Rulemaking for Emission Standards for Locomotives and
Locomotive Engines, EPA, EPA-420-R-97-101, p. 18.
\1034\ 63 FR 18993-18994.
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At the same time, locomotive emission controls have developed
significantly since the 1998 rule, and some of these developments call
into question the factual underpinnings of EPA's prior decision to
categorially preempt certain controls up to 133 percent of the
regulatory useful life. It has been 15 years since EPA's 2008 rule was
finalized and eight years since the first compliance year of the
locomotive Tier 4 emissions standards. With the certainty provided by
the long lead time prior to implementation of Tier 4 and the stability
provided by a long period of unchanged standards, the emission control
technologies for new diesel locomotives are now well established. In
developing this proposal, we reviewed the technical basis for the types
of controls in 40 CFR 1074.12(b) established in 1998 and evaluated
currently available technologies and practices to investigate the
extent to which our reasoning in 1998 still holds today, following more
recent technological developments and the extent to which emissions
control tools may be employed for existing locomotives without
necessarily presenting significant effects on the
[[Page 26095]]
design and manufacture of new locomotives and engines.
We have identified two examples of post-1998 emission controls that
states would be prohibited from requiring for non-new locomotives under
the language of 40 CFR 1074.12(b), but that initially appear would not
significantly affect the design or manufacture of a new locomotive or
locomotive engine and in fact have in some cases been voluntarily
applied. Although we have not received any submission of an actual
regulation addressing controls of this nature, which would need to be
evaluated on its own basis under CAA section 209(e)(2), we discuss
these possible measures that might not be preempted as requirements
applying to new locomotives or new engines used in locomotives if
evaluated on a case-by-case basis. Our evaluation suggests that the
1998 regulatory provisions categorically preempting certain controls up
to 133 percent of the useful life may be overly restrictive in
precluding state consideration of potential measures to reduce
emissions from existing locomotives.
One example of a post-1998 control measure that we have identified
as potentially not significantly affecting the design or manufacture of
a new locomotive or engine is the retrofitting of an auxiliary power
unit (APU) to support engine shutdown for idle reduction. In this
scenario, installation of such an APU on a locomotive with an engine
shutdown timer can enable the main engine to shut down while
maintaining power to auxiliary functions such as air brake pressure and
battery state of charge. There may be sufficient space and fluids
onboard to accommodate this component without disrupting the existing
equipment or the design of new remanufacturing kits. Under the terms of
current 40 CFR 1074.12(b) this is an example of a requirement that may
be categorically preempted because current section 1074.12(b) preempts
state retrofit and aftermarket equipment requirements. Without
evaluating the technical drawbacks or merits of any specific state
requirement for such a retrofitting on existing locomotives, we observe
that such a requirement could potentially be consistent with the
statutory authorization criteria and be allowed if evaluated on its own
merits under 40 CFR 1074.101 through 1074.115. As further evidence that
such a retrofit requirement would not likely have an adverse effect on
the design of new locomotives, this type of technology retrofit project
is often pursued by locomotive operators on a voluntary basis.\1035\
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\1035\ See, for example, Railway Age, BNSF, Hotstart partner on
locomotive retrofit, November 19, 2014. https://www.railwayage.com/freight/class-i/bnsf-hotstart-partner-on-locomotive-retrofit/
accessed January 2023.
---------------------------------------------------------------------------
A second example of a post-1998 emission control measure that may
not significantly affect the design or manufacture of a new locomotive
or engine is the installation of a new load control calibration
strategy that better manages load on the main engine while the
locomotive is in line haul service. Such technology is utilized today
and may be installed on units already in service \1036\ and is
available as an upgrade in some certified remanufacture kits.\1037\ In
this scenario, a locomotive would have certain software installed that
governs how the engine is used during the route, which helps save fuel
and reduces emissions. Because the components involved include minimal
hardware, we do not believe implementation of this measure would result
in a significant effect on the design of new locomotives. Therefore, a
state imposing a requirement that existing locomotives employ it would
not necessarily constitute a control of new locomotive emissions.
Nonetheless, under the existing regulations, such a control may be
categorically preempted. Without evaluating the technical drawbacks or
merits of such a state's specific action to impose such a requirement
for this kind of more recent technological measure, we believe that our
1998 regulatory text may inappropriately restrict whether a state can
request authorization under CAA section 209(e)(2) to impose such a
requirement. Therefore, EPA believes that there are in fact reasonable
examples of readily available technologies that if included as part of
a state regulatory program could be considered for authorization under
CAA section 209(e)(2) and our rules at 40 CFR 1074.101 through
1074.115, but that under our 1998 regulatory text in 40 CFR
1074.12(b)--adopted in advance of the development of these newer
technological measures--California is currently discouraged from
exploring. Any such program should be evaluated on its own terms, if
submitted, rather than be assumed to significantly affect design and
manufacture of new locomotives under a categorical regulatory
preemption provision that did not account for more recent technological
measures.
---------------------------------------------------------------------------
\1036\ See, for example, https://www.nyabproducts.com/leader/
and https://www.wabteccorp.com/digital-electronics/train-performance-and-automation/trip-optimizer, accessed January 2023.
\1037\ See, for example, Wabtec's certified remanufacture
families PGETK0668T1Y and PGETK0668T0C, which are Tier 1 and Tier 0
systems, respectively, that include the Trip Optimizer software as
an energy saving design.
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While EPA's adoption of its regulations in 1998 helped facilitate a
smooth regulatory progression from uncontrolled to regulated
locomotives, the more recent technological developments of pollution
control measures, such as those briefly discussed in this Section X,
indicate that there may be instances now where the general conclusions
reached in 1998 may no longer be supportable, and instead may result in
our 1998 preemption rules inappropriately reaching beyond the scope of
section 209(e)(1)'s prohibition on requirements that relate to new
locomotives and new engines used in locomotives. Although EPA has
discussed only some examples of potential control measures that might
be considered for application under a state program for existing
locomotives without significantly affecting the design and manufacture
of new locomotives, the very nature of rapid technological development
suggests that it is not necessary or possible for EPA to prejudge, as
under the current text of 40 CFR 1074.12, all potential forms of state
control of existing locomotives regarding whether they should remain
preempted with no possibility of authorization under CAA section
209(e)(2).
EPA further believes that the examples discussed show there is
sufficient information available to more generally call into question
the conclusion that all the forms of state control explicitly preempted
by the current text in 40 CFR 1074.12(b) would necessarily affect how
manufacturers and remanufacturers design new locomotives and new
engines used in locomotives. Based on these examples, along with the
fact that any request from California (for its regulatory and
technological approaches) under 40 CFR 1074.101 through 1074.115 would
be evaluated on a case-by-case basis, we observe that by removing the
language in 40 CFR 1074.12(b) EPA would still be required to evaluate
any submission from California under CAA section 209(e)(1) and (2),
providing the opportunity for public comment by all interested
stakeholders. EPA seeks comment on this assessment and to what extent
there would be public benefit if we were to retain the current
regulatory text.
While EPA can no longer say, for certain, that our conclusions in
1998 about state imposition of in-use requirements will always be true
for
[[Page 26096]]
those listed forms of standards or requirements, we are also not saying
that such measures can or will be authorized under CAA section
209(e)(2) (even for the examples provided). EPA is not concluding in
this document that any of these forms of standards, if submitted, would
be authorized, or that these forms of standards would not contravene
CAA section 209(e)(1). Rather this action to revise 40 CFR 1074.12, if
finalized, would better allow California the opportunity to explore,
develop, and justify in a program-specific submission for authorization
why a certain form of state regulation should be allowed under CAA
section 209(e)(2) and our rules at 40 CFR 1074.101 through 1074.115,
and allow EPA to evaluate such a submission on a case-by-case basis
evaluating its specific merits rather than being categorically
preempted without the benefit of an actual administrative record
regarding the specific state regulation.
The scope of this proposal includes the types of state measures
preempted as well as the period of preemption. EPA's assessment that
our previous general conclusions regarding what types of measures must
be preempted at the outset may no longer be supportable necessarily
extends to the period of preemption imposed by our regulations. The
current text at 40 CFR 1074.12(b) preempts the state control of in-use
locomotives for the categories of regulations listed for a period of
133 percent of useful life of a new locomotive or engine. Since we now
believe it is inappropriate to prejudge that all the listed types of
measures would have such an effect, we likewise cannot say that the
fixed period of preemption of such measures must still apply. EPA
therefore proposes to remove the specified period of preemption in 40
CFR 1074.12(b). In place of this, the EPA would include evaluation of
the temporal nature of any submitted state controls as part of its
evaluation of any authorization request under 40 CFR 1074.101 through
1074.115.
D. What is EPA proposing?
We believe the current preemption language may impede California's
exploration of regulations of non-new locomotives and locomotive
engines beyond what is required by CAA section 209(e). To address this,
EPA is proposing to make several revisions in part 1074, including
sections 1074.10, 1074.12, and 1074.101.
In 40 CFR 1074.10, we propose to revise subsection (b) to contain
text that is currently located in section 1074.12(a), and move the
current text of subsection (b) into a new subsection (c). This would
solely be a housekeeping measure, as no revisions to the content of the
text or current subsection 1074.12(a) are proposed.
In 40 CFR 1074.12, we are proposing to delete 40 CFR 1074.12 in its
entirety. We believe the removal of the explicit period of preemption
as well as the listed categories of state control measures would signal
that not all state regulations are intended to be preempted and would
better align the scope of the regulation with the CAA. We seek comment
on these proposed revisions and whether they adequately align our
regulations with the CAA, and whether they achieve the intended purpose
of not impeding California from pursuing state-level standards or
control measures that may be considered for authorization according to
the procedures outlined in 40 CFR 1074.101 through 1074.115. We note
that under the proposal, California rules addressing non-new
locomotives or engines would still need to go through the authorization
process at 40 CFR 1074.101 through 1074.105, which would ensure
compliance with the statutory authorization criteria: California's
determination that its standards will be, in the aggregate, at least as
protective of public health and welfare as otherwise applicable Federal
standards is not arbitrary and capricious; Any opponents of the
authorization have not met their burdens to demonstrate that California
does not need such standards to meet compelling and extraordinary
conditions; and Any such opponents have not demonstrated that such
standards and accompanying enforcement procedures are not consistent
with section 209 of the CAA (including section 209(e)(1)).\1038\
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\1038\ 40 CFR 1074.105(b). Adopted at Part 85.1603(c)(1) in 1998
and recodified in Part 1074 as part of the Control of Emissions From
Nonroad Spark-Ignition Engines and Equipment, October 8, 2008, 73 FR
59033.
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EPA notes that we would still have concerns related to
authorization requests that included forms of state controls that would
significantly affect the design or manufacture of a new locomotive or
engine. However, EPA recognizes that significant advances in technology
have occurred in the intervening years since 1998, along with
innovative forms of regulations. Any state authorization application
received by EPA would need to demonstrate why the submitted control
measure would not significantly affect the design or manufacture of a
new locomotive. As required by the CAA, the EPA would evaluate any such
application on a case-by-case basis to determine if the controls may be
authorized under section 209(e)(2).
Note that certain categories of potential state requirements, while
not expressly preempted by section 209(e)(1) or EPA's regulations
implementing section 209(e)(1), may be preempted if they would create a
conflict with other provisions of the Act. For example, section
203(a)(3) of the Act prohibits tampering, and certain requirements to
modify engines might constitute tampering. Analysis of such possible
conflicts would be incorporated into the evaluation of EPA's review of
an authorization request under 40 CFR 1074.101 through 1074.115.
In 40 CFR 1074.101, we propose a minor housekeeping edit to
paragraph (a) of this section, to refer to the relocated text in
1074.10(b) that is being moved out of 1074.12.
None of the proposed changes to our preemption regulations would
have any impact on the regulation of new locomotives or engines used in
locomotives (including freshly built and remanufactured) under 40 CFR
part 1033. We are not reopening any aspect of the regulation of new
locomotives or engines, and any comments on these topics will be deemed
beyond the scope.
XI. Statutory and Executive Order Reviews
Additional information about these statutes and Executive Orders
can be found at https://www.epa.gov/laws-regulations/laws-and-executive-orders.
A. Executive Order 12866: Regulatory Planning and Review and Executive
Order 13563: Improving Regulation and Regulatory Review
Under section 3(f)(1) of Executive Order 12866, this action is a
significant regulatory action that was submitted to the Office of
Management and Budget (OMB) for review. Any changes made in response to
recommendations received as part of Executive Order 12866 review have
been documented in the docket. EPA prepared an analysis of the
potential costs and benefits associated with this action. This
analysis, the draft ``Regulatory Impact Analysis--Greenhouse Gas
Emissions Standards for Heavy-Duty Vehicles-Phase 3--Notice of Proposed
Rulemaking,'' is available in the docket. The analyses contained in
this document are also summarized in Sections II, IV, V, VI, VII, VIII
and IX of this preamble.
[[Page 26097]]
B. Paperwork Reduction Act (PRA)
The information collection activities in this proposed rule have
been submitted for approval to the Office of Management and Budget
(OMB) under the PRA. The Information Collection Request (ICR) that EPA
prepared has been assigned EPA ICR Number 2734.1. You can find a copy
of the Supporting Statement in the docket for this rule, and it is
briefly summarized here.
This proposed rulemaking consists of targeted updates to the
existing GHG emission standards for heavy-duty vehicles beginning with
MY 2027 in consideration of zero-emission technology. The information
collection activities for EPA's Phase 2 GHG program would not change as
a result of this proposed rule, although manufacturers would experience
a cost associated with reviewing the new requirements.
Respondents/affected entities: Manufacturers of heavy-
duty onroad vehicles.
Respondent's obligation to respond: Regulated entities
must respond to the collection if they wish to sell their products
in the United States, as prescribed by CAA section 203(a).
Participation in some programs is voluntary; but once a manufacturer
has elected to participate, it must submit the required information.
Estimated number of respondents: Approximately 77
heavy-duty vehicle manufacturers.
Frequency of response: One-time burden associated with
reviewing the new requirements for all manufacturers; for EV
manufacturers, one-time burden associated with new battery health
monitor provisions, warranty reporting requirements, and associated
revisions to owners manuals
Total estimated burden: 7,411 hours. Burden is defined
at 5 CFR 1320.03(b)
Total estimated cost: $1.622 million; includes an
estimated $936,500 maintenance and operational costs.
An agency may not conduct or sponsor, and a person is not required
to respond to, a collection of information unless it displays a
currently valid OMB control number. The OMB control numbers for EPA's
regulations in 40 CFR are listed in 40 CFR part 9.
Submit your comments on the Agency's need for this information, the
accuracy of the provided burden estimates and any suggested methods for
minimizing respondent burden to EPA using the docket identified at the
beginning of this rule. You may also send your ICR-related comments to
OMB's Office of Information and Regulatory Affairs using the interface
at www.reginfo.gov/public/do/PRAMain. Find this particular information
collection by selecting ``Currently under Review--Open''. Since OMB is
required to make a decision concerning the ICR between 30 and 60 days
after receipt, OMB must receive comments no later than June 26, 2023.
The EPA will respond to any ICR-related comments in the final rule.
C. Regulatory Flexibility Act (RFA)
I certify that this action will not have a significant economic
impact on a substantial number of small entities under the RFA. As
explained elsewhere in this preamble, EPA is proposing to exempt small
entities from the proposed revisions to EPA's Phase 2 GHG requirements
for MY 2027 and the proposed additional GHG requirements for MYs 2028
through 2032 and later. Small EV manufacturers would be subject to new
battery health monitor provisions and warranty provisions, which
include making associated revisions to owners manuals. There are 10
small companies that would be affected by the proposal. The estimated
burden is not expected to exceed 3 percent of annual revenue for any
small entity, and is expected to be between 1 and 3 percent of annual
revenue for only one company. We have therefore concluded that this
action will have minimal impact on small entities within the regulated
industries. More information concerning the small entities and our
decision is presented in Chapter 9 of the draft RIA.
D. Unfunded Mandates Reform Act (UMRA)
This proposed rule contains no Federal mandates under UMRA, 2
U.S.C. 1531-1538, for State, local, or Tribal governments. The proposed
rule would impose no enforceable duty on any State, local or Tribal
government. This proposed rule would contain a Federal mandate under
UMRA that may result in expenditures of $100 million or more for the
private sector in any one year. Accordingly, the costs and benefits
associated with the proposed rule are discussed in Section VIII and in
the draft RIA, which are in the docket for this rule.
This action is not subject to the requirements of section 203 of
UMRA because it contains no regulatory requirements that might
significantly or uniquely affect small governments.
E. Executive Order 13132: Federalism
The action we are proposing for HD Phase 3 CO2 emission
standards and related regulations does not have federalism
implications. The proposed HD Phase 3 CO2 emission standards
will not have substantial direct effects on the states, on the
relationship between the national government and the states, or on the
distribution of power and responsibilities among the various levels of
government.
The action we are proposing with regard to preemption of State
control of air pollutant emissions from new locomotives and new engines
used in locomotives (described in Section X), however, does have
federalism implications because the proposed revisions to part 1074
involve existing regulations that preempt State law under CAA section
209(e)(1). This action proposes revisions to current regulatory
provisions in order to better align EPA's rules with CAA section
209(e)'s statutory requirements. Today's action proposes to remove
regulatory language that extended the preemption period beyond the
point at which locomotives and engines are new. In this rule, EPA
proposes to revise our locomotive preemption regulations to better
align with precise language Congress provided in section 209(e) and the
Congressional directive to EPA to implement the prohibition of state
regulation of new locomotives and new engines used in locomotives while
ensuring that states are not impeded from adopting programs as allowed
by the CAA to address the contribution of air pollutant emissions from
non-new locomotives and engines to their air quality issues. EPA
consulted with representatives of various State and local governments
in developing this proposed rule. We met with representatives from the
National Association of State Energy Officials, the National
Association of Clean Air Agencies, the Northeast States for Coordinated
Air Use Management, the Ozone Transport Commission, and the Association
of Air Pollution Control Agencies in a joint meeting on April 21, 2022.
We met with representatives from CARB periodically from September to
December 2022, and we met with representatives from the National
Association of Clean Air Agencies, the Northeast States for Coordinated
Air Use Management, and the Ozone Transport Commission in a joint
meeting on December 13, 2022. In the spirit of Executive Order 13132,
and consistent with EPA policy to promote communications between EPA
and State and local governments, EPA specifically solicits comment on
this proposed rule revision from State and local officials.
F. Executive Order 13175: Consultation and Coordination With Indian
Tribal Governments
This action does not have Tribal implications as specified in
Executive Order 13175. Thus, Executive Order 13175 does not apply to
this action.
[[Page 26098]]
This action does not have substantial direct effects on one or more
Indian tribes, on the relationship between the Federal Government and
Indian tribes, or on the distribution of power and responsibilities
between the Federal Government and Indian tribes. However, EPA plans to
continue engaging with Tribal stakeholders in the development of this
rulemaking by offering a Tribal workshop and offering government-to-
government consultation upon request.
G. Executive Order 13045: Protection of Children From Environmental
Health and Safety Risks
This action is subject to Executive Order 13045 because it is a
significant regulatory action under section 3(f)(1) of Executive Order
12866, and EPA believes that the environmental health risks or safety
risks of the pollutants addressed by this action may have a
disproportionate effect on children. The 2021 Policy on Children's
Health also applies to this action.\1039\ Accordingly, we have
evaluated the environmental health or safety effects of air pollutants
affected by the proposed program on children. The results of this
evaluation are described in Section VI of the preamble and Chapter 5 of
the DRIA. The protection offered by these standards may be especially
important for children because childhood represents a life stage
associated with increased susceptibility to air pollutant-related
health effects.
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\1039\ U.S. Environmental Protection Agency (2021). 2021 Policy
on Children's Health. Washington, DC. https://www.epa.gov/system/files/documents/2021-10/2021-policy-on-childrens-health.pdf.
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This proposed rule would reduce emissions of GHGs, which would
reduce the effects of climate change on children. GHGs contribute to
climate change and the GHG emissions reductions resulting from
implementation of this proposed rule would further improve children's
health. The assessment literature cited in EPA's 2009 and 2016
Endangerment Findings concluded that certain populations and life
stages, including children, the elderly, and the poor, are most
vulnerable to climate-related health effects. The assessment literature
since 2016 strengthens these conclusions by providing more detailed
findings regarding these groups' vulnerabilities and the projected
impacts they may experience. These assessments describe how children's
unique physiological and developmental factors contribute to making
them particularly vulnerable to climate change. Impacts to children are
expected from heat waves, air pollution, infectious and waterborne
illnesses, and mental health effects resulting from extreme weather
events. In addition, children are among those especially susceptible to
most allergic diseases, as well as health effects associated with heat
waves, storms, and floods. Additional health concerns may arise in low-
income households, especially those with children, if climate change
reduces food availability and increases prices, leading to food
insecurity within households. More detailed information on the impacts
of climate change to human health and welfare is provided in Section
VI.A of this preamble.
Children make up a substantial fraction of the U.S. population, and
often have unique factors that contribute to their increased risk of
experiencing a health effect from exposures to ambient air pollutants
because of their continuous growth and development. Children are more
susceptible than adults to many air pollutants because they have (1) a
developing respiratory system, (2) increased ventilation rates relative
to body mass compared with adults, (3) an increased proportion of oral
breathing, particularly in boys, relative to adults, and (4) behaviors
that increase chances for exposure. Even before birth, the developing
fetus may be exposed to air pollutants through the mother that affect
development and permanently harm the individual when the mother is
exposed.
In addition to reducing GHGs, this proposed rule would also reduce
onroad emissions of criteria pollutants and air toxics. Section V of
this preamble presents the estimated onroad emissions reductions from
the proposed rule. Certain motor vehicle emissions present greater
risks to children. Early lifestages (e.g., children) are thought to be
more susceptible to tumor development than adults when exposed to
carcinogenic chemicals that act through a mutagenic mode of
action.\1040\ Exposure at a young age to these carcinogens could lead
to a higher risk of developing cancer later in life. Chapter 5.2.8 of
the DRIA describes a systematic review and meta-analysis conducted by
the U.S. Centers for Disease Control and Prevention that reported a
positive association between proximity to traffic and the risk of
leukemia in children.
---------------------------------------------------------------------------
\1040\ U.S. Environmental Protection Agency. (2005).
Supplemental guidance for assessing susceptibility from early-life
exposure to carcinogens. Washington, DC: Risk Assessment Forum. EPA/
630/R-03/003F. https://www3.epa.gov/airtoxics/childrens_supplement_final.pdf.
---------------------------------------------------------------------------
The adverse effects of individual air pollutants may be more severe
for children, particularly the youngest age groups, than adults. As
described in Section VI.B of this preamble and Chapter 5 of the DRIA,
the Integrated Science Assessments for a number of pollutants affected
by this rule, including those for SO2, NO2, PM, ozone and
CO, describe children as a group with greater susceptibility. Also,
Section VI.B of this preamble and Chapter 5 of the DRIA discuss a
number of childhood health outcomes associated with proximity to
roadways, including evidence for exacerbation of asthma symptoms and
suggestive evidence for new onset asthma.
There is substantial evidence that people who live or attend school
near major roadways are more likely to be people of color, Hispanic
ethnicity, and/or low socioeconomic status. Within these highly exposed
groups, children's exposure and susceptibility to health effects is
greater than adults due to school-related and seasonal activities,
behavior, and physiological factors.
Children are not expected to experience greater ambient
concentrations of air pollutants than the general population. However,
because of their greater susceptibility to air pollution, including the
impacts of a changing climate, and their increased time spent outdoors,
it is likely that the emissions reductions associated with the proposed
standards would have particular benefits for children's health.
H. Executive Order 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use
This action is not a ``significant energy action'' because it is
not likely to have a significant adverse effect on the supply,
distribution, or use of energy. EPA has outlined the energy effects in
Section VI of this preamble and Chapter 5 of the draft RIA, which is
available in the docket for this action and is briefly summarized here.
This action proposes to reduce CO2 emissions from heavy-
duty vehicles under revised GHG standards, which would result in
significant reductions in the consumption of petroleum, would achieve
energy security benefits, and would have no adverse energy effects.
Because the GHG emission standards result in fuel savings, this rule
encourages more efficient use of fuels. Section VI.F of this preamble
describes our projected fuel savings due to the proposed standards.
[[Page 26099]]
I. National Technology Transfer and Advancement Act (NTTAA) and 1 CFR
Part 51
This rulemaking involves technical standards. Except for the
standards discussed in this Section XI.I, the standards included in the
regulatory text as incorporated by reference were all previously
approved for IBR and no change is included in this action.
In accordance with the requirements of 1 CFR 51.5, we are proposing
to incorporate by reference the use of standards and test methods from
the United Nations. The referenced standards and test methods may be
obtained from the UN Economic Commission for Europe, Information
Service at Palais des Nations, CH-1211 Geneva 10, Switzerland;
[email protected]; www.unece.org. We are incorporating by reference the
following UN Economic Commission for Europe document:
------------------------------------------------------------------------
Standard or test method Regulation Summary
------------------------------------------------------------------------
Addendum 22: United Nations 40 CFR 1037.115 GTR 22 establishes
Global Technical Regulation No. and 1037.810. design protocols
22, United Nations Global and procedures
Technical Regulation on In- for measuring
vehicle Battery Durability for durability and
Electrified Vehicles, Adopted performance for
April 14, 2022. batteries used
with electric
vehicles and plug-
in hybrid-
electric
vehicles.
------------------------------------------------------------------------
J. Executive Order 12898: Federal Actions To Address Environmental
Justice in Minority Populations and Low-Income Populations
Executive Order 12898 (59 FR 7629, February 16, 1994) directs
Federal agencies, to the greatest extent practicable and permitted by
law, to make environmental justice part of their mission by identifying
and addressing, as appropriate, disproportionately high and adverse
human health or environmental effects of their programs, policies, and
activities on minority populations (people of color and/or indigenous
peoples) and low-income populations.
EPA believes that the human health or environmental conditions that
exist prior to this action result in or have the potential to result in
disproportionate and adverse human health or environmental effects on
people of color, low-income populations and/or indigenous peoples. EPA
provides a summary of the evidence for potentially disproportionate and
adverse effects among people of color and low-income populations in
Section VI.D of the preamble for this rule.
EPA believes that this action is likely to reduce existing
disproportionate and adverse effects on people of color, low-income
populations and/or indigenous peoples.
Section VI.D.1 discusses the environmental justice issues
associated with climate change. People of color, low-income populations
and/or indigenous peoples may be especially vulnerable to the impacts
of climate change. The GHG emission reductions from this proposal would
contribute to efforts to reduce the probability of severe impacts
related to climate change.
In addition to reducing GHGs, this proposed rule would also reduce
onroad emissions of criteria pollutants and air toxics. Section V of
this preamble presents the estimated impacts from the proposed rule on
onroad and EGU emissions. These non-GHG emission reductions from
vehicles would improve air quality for the people who reside in close
proximity to major roadways and who are disproportionately represented
by people of color and people with low income, as described in Section
VI.D.2 of this preamble. We expect that increases in criteria and toxic
pollutant emissions from EGUs and reductions in petroleum-sector
emissions could lead to changes in exposure to these pollutants for
people living in the communities near these facilities. Analyses of
communities in close proximity to these sources (such as EGUs and
refineries) have found that a higher percentage of communities of color
and low-income communities live near these sources when compared to
national averages.
EPA is additionally identifying and addressing environmental
justice concerns by providing fair treatment and meaningful involvement
with Environment Justice groups in developing this proposed action and
soliciting input for this notice of proposed rulemaking.
The information supporting this Executive Order review is contained
in Section VI.D of the preamble for this rule, and all supporting
documents have been placed in the public docket for this action.
XII. Statutory Authority and Legal Provisions
Statutory authority for the proposed GHG standards is found in CAA
section 202(a)(1)-(2), 42 U.S.C. 7521 (a)(1)-(2), which requires EPA to
establish standards applicable to emissions of air pollutants from new
motor vehicles and engines which cause or contribute to air pollution
which may reasonably be anticipated to endanger public health or
welfare. Statutory authority for this proposed rule overall is found at
42 U.S.C. 7401-7675.
List of Subjects
40 CFR Part 1036
Environmental protection, Administrative practice and procedure,
Air pollution control, Confidential business information, Greenhouse
gases, Incorporation by reference, Labeling, Motor vehicle pollution,
Reporting and recordkeeping requirements, Warranties.
40 CFR Part 1037
Environmental protection, Administrative practice and procedure,
Air pollution control, Confidential business information, Incorporation
by reference, Labeling, Motor vehicle pollution, Reporting and
recordkeeping requirements, Warranties.
40 CFR Part 1054
Environmental protection, Administrative practice and procedure,
Air pollution control, Confidential business information, Imports,
Labeling, Penalties, Reporting and recordkeeping requirements,
Warranties.
40 CFR Part 1065
Environmental protection, Administrative practice and procedure,
Air pollution control, Incorporation by reference, Reporting and
recordkeeping requirements, Research.
40 CFR Part 1074
Environmental protection, Administrative practice and procedure,
Air pollution control, Locomotives, Nonroad engines, Scope of
preemption.
Michael S. Regan,
Administrator.
For the reasons set out in the preamble, we are proposing to amend
title 40, chapter I of the Code of Federal Regulations as set forth
below.
[[Page 26100]]
PART 1036--CONTROL OF EMISSIONS FROM NEW AND IN-USE HEAVY-DUTY
HIGHWAY ENGINES
0
1. The authority citation for part 1036 continues to read as follows:
Authority: 42 U.S.C. 7401-7671q.
0
2. Amend Sec. 1036.101 by revising the introductory text and paragraph
(a)(1) to read as follows:
Sec. 1036.101 Overview of exhaust emission standards.
This part contains standards and other regulations applicable to
the emission of the air pollutant defined as the aggregate group of six
greenhouse gases: carbon dioxide, nitrous oxide, methane,
hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride.
(a) * * *
(1) Criteria pollutant standards for NOX, HC, PM, and CO
apply as described in Sec. 1036.104. These pollutants are sometimes
described collectively as ``criteria pollutants'' because they are
either criteria pollutants under the Clean Air Act or precursors to the
criteria pollutants ozone and PM.
* * * * *
Sec. 1036.104-- [Amended]
0
3. Amend Sec. 1036.104 by removing paragraph (c)(2)(iii).
0
4. Amend Sec. 1036.108 by revising paragraphs (a)(1)(iii) introductory
text and (e) to read as follows:
Sec. 1036.108 Greenhouse gas emission standards--CO2,
CH4, and N2O.
* * * * *
(a) * * *
(1) * * *
(iii) The following Phase 2 and Phase 3 CO2 standards
apply for compression-ignition engines and all Heavy HDE (in g/
hp[middot]hr):
* * * * *
(e) Applicability for testing. The emission standards in this
subpart apply as specified in this paragraph (e) to all duty-cycle
testing (according to the applicable test cycles) of testable
configurations, including certification, selective enforcement audits,
and in-use testing. The CO2 FCLs serve as the CO2
emission standards for the engine family with respect to certification
and confirmatory testing instead of the standards specified in
paragraph (a)(1) of this section. The FELs serve as the emission
standards for the engine family with respect to all other duty-cycle
testing. See Sec. Sec. 1036.235 and 1036.241 to determine which engine
configurations within the engine family are subject to testing. Note
that engine fuel maps and powertrain test results also serve as
standards as described in Sec. Sec. 1036.535, 1036.540, 1036.545, and
1036.630.
0
5. Amend Sec. 1036.110 by revising paragraphs (b)(6), (b)(9)
introductory text, (b)(11)(ii) and (c)(1) to read as follows:
Sec. 1036.110 Diagnostic controls.
* * * * *
(b) * * *
(6) The provisions related to verification of in-use compliance in
13 CCR 1971.1(l)(4) do not apply. The provisions related to
manufacturer self-testing in 13 CCR 1971.5(c) also do not apply.
* * * * *
(9) Design compression-ignition engines to make the following
additional data-stream signals available on demand with a generic scan
tool according to 13 CCR 1971.1(h)(4.2), if the engine is so equipped
with the relevant components and OBD monitoring is required for those
components:
* * * * *
(11) * * *
(ii) Send us results from any testing you performed for certifying
engine families (including equivalent engine families) with the
California Air Resources Board, including the results of any testing
performed under 13 CCR 1971.1(l) for verification of in-use compliance
and 13 CCR 1971.5(c) for manufacturer self-testing within the deadlines
set out in 13 CCR 1971.1 and 1971.5.
* * * * *
(c) * * *
(1) For inducements specified in Sec. 1036.111 and any other AECD
that derates engine output related to SCR or DPF systems, indicate the
fault code for the detected problem, a description of the fault code,
and the current speed restriction. For inducement faults under Sec.
1036.111, identify whether the fault condition is for DEF level, DEF
quality, or tampering; for other faults, identify whether the fault
condition is related to SCR or DPF systems. If there are additional
derate stages, also indicate the next speed restriction and the time
remaining until starting the next restriction. If the derate involves
something other than restricting vehicle speed, such as a torque
derate, adjust the information to correctly identify any current and
pending restrictions.
* * * * *
0
6. Amend Sec. 1036.111 by revising paragraphs (a)(2), (b) introductory
text, (d), and (e) to read as follows:
Sec. 1036.111 Inducements related to SCR.
* * * * *
(a) * * *
(2) The provisions of this section apply differently based on an
individual vehicle's speed history. A vehicle's speed category is based
on the OBD system's recorded value for average speed for the preceding
30 hours of non-idle engine operation. The vehicle speed category
applies at the point that the engine first detects an inducement
triggering condition identified under paragraph (b) of this section and
continues to apply until the inducement triggering condition is fully
resolved as specified in paragraph (e) of this section. Non-idle engine
operation includes all operating conditions except those that qualify
as idle based on OBD system controls as specified in 13 CCR
1971.1(h)(5.4.10). Apply speed derates based on the following
categories:
Table 1 to Paragraph (a)(2) of Sec. 1036.111--Vehicle Categories
------------------------------------------------------------------------
Vehicle category \a\ Average speed (mi/hr)
------------------------------------------------------------------------
Low-speed................................. speed <15.
Medium-speed.............................. 15< speed <25.
High-speed................................ speed >25.
------------------------------------------------------------------------
\a\ A vehicle is presumed to be a high-speed vehicle if it has not yet
logged 30 hours of non-idle operation.
* * * * *
(b) Inducement triggering conditions. Create derate strategies that
monitor for and trigger an inducement based on the following
conditions:
* * * * *
(d) Derate schedule. Engines must follow the derate schedule
described in this paragraph (d) if the engine detects an inducement
triggering condition identified in paragraph (b) of this section. The
derate takes the form of a maximum drive speed for the vehicle. This
maximum drive speed decreases over time based on hours of non-idle
engine operation without regard to engine starting.
(1) Apply speed-limiting derates according to the following
schedule:
[[Page 26101]]
Table 2 to Paragraph (d)(1) of Sec. 1036.111--Derate Schedule for Detected Inducement Triggering Conditions
\a\
----------------------------------------------------------------------------------------------------------------
High-speed vehicles Medium-speed vehicles Low-speed vehicles
----------------------------------------------------------------------------------------------------------------
Hours of non- Hours of non-
Hours of non-idle engine Maximum speed idle engine Maximum speed idle engine Maximum speed
operation (mi/hr) operation (mi/hr) operation (mi/hr)
----------------------------------------------------------------------------------------------------------------
0............................... 65 0 55 0 45
6............................... 60 6 50 5 40
12.............................. 55 12 45 10 35
20.............................. 50 45 40 30 25
86.............................. 45 70 35 .............. ..............
119............................. 40 90 25 .............. ..............
144............................. 35 .............. .............. .............. ..............
164............................. 25 .............. .............. .............. ..............
----------------------------------------------------------------------------------------------------------------
\a\Hours start counting when the engine detects an inducement triggering condition specified in paragraph (b)
of this section. For DEF supply, you may program the engine to reset the timer to three hours when the engine
detects an empty DEF tank.
(2) You may design and produce engines that will be installed in
motorcoaches with an alternative derate schedule that starts with a 65
mi/hr derate when an inducement triggering condition is first detected,
steps down to 50 mi/hr after 80 hours, and concludes with a final
derate speed of 25 mi/hr after 180 hours of non-idle operation.
(e) Deactivating derates. Program the engine to deactivate derates
as follows:
(1) Evaluate whether the detected inducement triggering condition
continues to apply. Deactivate derates if the engine confirms that the
detected inducement triggering condition is resolved.
(2) Allow a generic scan tool to deactivate inducement triggering
codes while the vehicle is not in motion.
(3) Treat any detected inducement triggering condition that recurs
within 40 hours of engine operation as the same detected inducement
triggering condition, which would restart the derate at the same point
in the derate schedule that the system last deactivated the derate.
0
7. Amend Sec. 1036.120 by revising paragraph (c) to read as follows:
Sec. 1036.120 Emission-related warranty requirements.
* * * * *
(c) Components covered. The emission-related warranty covers all
components listed in 40 CFR part 1068, appendix A, and components from
any other system you develop to control emissions. Note that this
includes hybrid system components when a manufacturer's certified
configuration includes hybrid system components. The emission-related
warranty covers any components, regardless of the company that produced
them, that are the original components or the same design as components
from the certified configuration.
* * * * *
0
8. Amend Sec. 1036.125 by revising paragraph (h)(8)(iii) to read as
follows:
Sec. 1036.125 Maintenance instructions and allowable maintenance.
* * * * *
(h) * * *
(8) * * *
(iii) A description of the three types of SCR-related derates (DEF
level, DEF quality and tampering) and that further information on the
inducement cause (e.g., trouble codes) is available using the OBD
system.
* * * * *
0
9. Amend Sec. 1036.150 by:
0
a. Revising paragraph (d);
0
b. Adding paragraph (f);
0
c. Revising paragraphs (j), and (k); and
0
d. Adding paragraph (aa).
The additions and revisions read as follows:
Sec. 1036.150 Interim provisions.
* * * * *
(d) Small manufacturers. The greenhouse gas standards of this part
apply on a delayed schedule for manufacturers meeting the small
business criteria specified in 13 CFR 121.201. Apply the small business
criteria for NAICS code 336310 for engine manufacturers with respect to
gasoline-fueled engines and 333618 for engine manufacturers with
respect to other engines; the employee limits apply to the total number
employees together for affiliated companies. Qualifying small
manufacturers are not subject to the greenhouse gas emission standards
in Sec. 1036.108 for engines with a date of manufacture on or after
November 14, 2011 but before January 1, 2022. In addition, qualifying
small manufacturers producing engines that run on any fuel other than
gasoline, E85, or diesel fuel may delay complying with every later
greenhouse gas standard under this part by one model year; however,
small manufacturers may generate emission credits only by certifying
all their engine families within a given averaging set to standards
that apply for the current model year. Note that engines not yet
subject to standards must nevertheless supply fuel maps to vehicle
manufacturers as described in paragraph (n) of this section. Note also
that engines produced by small manufacturers are subject to criteria
pollutant standards.
162 HEI Panel on the Health Effects of Long-Term Exposure to
Traffic-Related Air Pollution (2022) Systematic review and meta-
analysis of selected health effects of long-term exposure to traffic-
related air pollution. Health Effects Institute Special Report 23.
[Online at https://www.healtheffects.org/publication/systematic-review-and-meta-analysis-selected-health-effects-long-term-exposure-traffic]
This more recent review focused on health outcomes related to birth
effects, respiratory effects, cardiometabolic effects, and mortality.
* * * * *
(f) Testing exemption for qualifying engines. Tailpipe
CO2, CH4, HC, and CO emissions from engines
fueled with neat hydrogen are deemed to be zero. No fuel mapping, and
no testing for CO2, CH4, HC, or CO is required
under this part for these engines.
* * * * *
(j) Alternate standards under 40 CFR part 86. This paragraph (j)
describes alternate emission standards that apply for model year 2023
and earlier loose engines certified under 40 CFR 86.1819-14(k)(8). The
standards of Sec. 1036.108 do not apply for these engines. The
standards in this paragraph (j) apply for emissions measured with the
engine installed in a complete vehicle
[[Page 26102]]
consistent with the provisions of 40 CFR 86.1819-14(k)(8)(vi). The only
requirements of this part that apply to these engines are those in this
paragraph (j), Sec. Sec. 1036.115 through 1036.135, 1036.535, and
1036.540.
(k) Limited production volume allowance under ABT. You may produce
a limited number of Heavy HDE that continue to meet the standards that
applied under 40 CFR 86.007-11 in model years 2027 through 2029. The
maximum number of engines you may produce under this limited production
allowance is 5 percent of the annual average of your actual production
volume of Heavy HDE in model years 2023-2025 for calculating emission
credits under Sec. 1036.705. Engine certification under this paragraph
(k) is subject to the following conditions and requirements:
* * * * *
(aa) Correcting credit calculations. If you notify us by October 1,
2024 that errors mistakenly decreased your balance of emission credits
for 2020 or any earlier model years, you may correct the errors and
recalculate the balance of emission credits after applying a 10 percent
discount to the credit correction.
0
10. Amend Sec. 1036.205 by revising paragraph (v) to read as follows:
Sec. 1036.205 Requirements for an application for certification.
* * * * *
(v) Include good-faith estimates of U.S.-directed production
volumes. Include a justification for the estimated production volumes
if they are substantially different than actual production volumes in
earlier years for similar models.
* * * * *
0
11. Amend Sec. 1036.240 by revising paragraph (c)(3) to read as
follows:
Sec. 1036.240 Demonstrating compliance with criteria pollutant
emission standards.
* * * * *
(c) * * *
(3) Sawtooth and other nonlinear deterioration patterns. The
deterioration factors described in paragraphs (c)(1) and (2) of this
section assume that the highest useful life emissions occur either at
the end of useful life or at the low-hour test point. The provisions of
this paragraph (c)(3) apply where good engineering judgment indicates
that the highest useful life emissions will occur between these two
points. For example, emissions may increase with service accumulation
until a certain maintenance step is performed, then return to the low-
hour emission levels and begin increasing again. Such a pattern may
occur with battery-based hybrid engines or hybrid powertrains. Base
deterioration factors for engines with such emission patterns on the
difference between (or ratio of) the point at which the highest
emissions occur and the low-hour test point. Note that this applies for
maintenance-related deterioration only where we allow such critical
emission-related maintenance.
* * * * *
0
12. Amend Sec. 1036.241 by revising paragraph (c)(3) to read as
follows:
Sec. 1036.241 Demonstrating compliance with greenhouse gas emission
standards.
* * * * *
(c) * * *
(3) Sawtooth and other nonlinear deterioration patterns. The
deterioration factors described in paragraphs (c)(1) and (2) of this
section assume that the highest useful life emissions occur either at
the end of useful life or at the low-hour test point. The provisions of
this paragraph (c)(3) apply where good engineering judgment indicates
that the highest useful life emissions will occur between these two
points. For example, emissions may increase with service accumulation
until a certain maintenance step is performed, then return to the low-
hour emission levels and begin increasing again. Such a pattern may
occur with battery-based hybrid engines or hybrid powertrains. Base
deterioration factors for engines with such emission patterns on the
difference between (or ratio of) the point at which the highest
emissions occur and the low-hour test point. Note that this applies for
maintenance-related deterioration only where we allow such critical
emission-related maintenance.
* * * * *
0
13. Amend Sec. 1036.245 by revising paragraphs (c)(3) introductory
text and (c)(3)(ii) introductory text to read as follows:
Sec. 1036.245 Deterioration factors for exhaust emission standards.
* * * * *
(c) * * *
(3) Perform service accumulation in the laboratory by operating the
engine or hybrid powertrain repeatedly over one of the following test
sequences, or a different test sequence that we approve in advance:
* * * * *
(ii) Duty-cycle sequence 2 is based on operating over the LLC and
the vehicle-based duty cycles from 40 CFR part 1037. Select the vehicle
subcategory and vehicle configuration from Sec. 1036.540 or Sec.
1036.545 with the highest reference cycle work for each vehicle-based
duty cycle. Operate the engine as follows for duty-cycle sequence 2:
* * * * *
0
14. Amend Sec. 1036.250 by revising paragraph (a) to read as follows:
Sec. 1036.250 Reporting and recordkeeping for certification.
(a) By September 30 following the end of the model year, send the
Designated Compliance Officer a report including the total U.S.-
directed production volume of engines you produced in each engine
family during the model year (based on information available at the
time of the report). Report the production by serial number and engine
configuration. You may combine this report with reports required under
subpart H of this part. We may waive the reporting requirements of this
paragraph (a) for small manufacturers.
* * * * *
0
15. Amend Sec. 1036.301 by revising paragraph (c) to read as follows:
Sec. 1036.301 Measurements related to GEM inputs in a selective
enforcement audit.
* * * * *
(c) If your certification includes powertrain testing as specified
in 40 CFR 1036.630, these selective enforcement audit provisions apply
with respect to powertrain test results as specified in 40 CFR part
1037, subpart D, and Sec. 1036.545. We may allow manufacturers to
instead perform the engine-based testing to simulate the powertrain
test as specified in 40 CFR 1037.551.
* * * * *
0
16. Amend Sec. 1036.405 by revising paragraphs (a)(1), (a)(3) and (d)
to read as follows:
Sec. 1036.405 Overview of the manufacturer-run field-testing program.
(a) * * *
(1) We may select up to 25 percent of your engine families in any
calendar year, calculated by dividing the number of engine families you
certified in the model year corresponding to the calendar year by four
and rounding to the nearest whole number. We will consider only engine
families with annual U.S.-directed production volumes above 1,500 units
in calculating the number of engine families subject to testing each
calendar year under the annual 25 percent engine family limit. If you
have only three or fewer families that each exceed an annual U.S.-
directed production volume of 1,500 units, we may select one engine
family per calendar year for testing.
* * * * *
(3) We will not select engine families for testing under this
subpart from a
[[Page 26103]]
given model year if your total U.S.-directed production volume was less
than 100 engines.
* * * * *
(d) You must complete all the required testing and reporting under
this subpart (for all ten test engines, if applicable), within 18
months after we direct you to test a particular engine family. We will
typically select engine families for testing and notify you in writing
by June 30 of the applicable calendar year. If you request it, we may
allow additional time to send us this information.
* * * * *
0
17. Amend Sec. 1036.420 by revising paragraph (a) to read as follows:
Sec. 1036.420 Pass criteria for individual engines.
* * * * *
(a) Determine the emission standard for each regulated pollutant
for each bin by adding the following accuracy margins for PEMS to the
off-cycle standards in Sec. 1036.104(a)(3):
Table 1 to Paragraph (a) of Sec. 1036.420--Accuracy Margins for In-Use Testing
----------------------------------------------------------------------------------------------------------------
NOX HC PM CO
----------------------------------------------------------------------------------------------------------------
Bin 1........................... 0.4 g/hr..........
Bin 2........................... 5 mg/hp[middot]hr. 10 mg/hp[middot]hr 6 mg/hp[middot]hr. 0.25 g/
hp[middot]hr.
----------------------------------------------------------------------------------------------------------------
* * * * *
0
18. Amend Sec. 1036.501 by adding paragraph (g) to read as follows:
Sec. 1036.501 General testing provisions.
* * * * *
(g) For testing engines that use regenerative braking through the
crankshaft to only power an electric heater for aftertreatment devices,
you may use the fuel mapping procedure in Sec. 1036.505(b)(1) or (2)
and the nonhybrid engine testing procedures in Sec. Sec. 1036.510,
1036.512, and 1036.514, as long as the recovered energy is less than 10
percent of the total positive work for each applicable transient duty
cycle. Otherwise, use powertrain testing procedures specified for
hybrid engines or hybrid powertrains to create fuel maps and measure
emissions. For engines that power an electric heater with a battery,
you must meet the requirements related to charge-sustaining operation
as described in 40 CFR 1066.501.
0
19. Amend Sec. 1036.505 by revising paragraphs (a), (b) introductory
text, and (b)(3) and (4) to read as follows:
Sec. 1036.505 Engine data and information to support vehicle
certification.
* * * * *
(a) Identify engine make, model, fuel type, combustion type, engine
family name, calibration identification, and engine displacement. Also
identify whether the engines meet CO2 standards for
tractors, vocational vehicles, or both. When certifying vehicles with
GEM, for any fuel type not identified in Table 1 of Sec. 1036.550,
select fuel type as diesel fuel for engines subject to compression-
ignition standards, and select fuel type as gasoline for engines
subject to spark-ignition standards.
(b) This paragraph (b) describes four different methods to generate
engine fuel maps. For engines without hybrid components and for mild
hybrid engines where you do not include hybrid components in the test,
generate fuel maps using either paragraph (b)(1) or (2) of this
section. For other hybrid engines, generate fuel maps using paragraph
(b)(3) of this section. For hybrid powertrains and nonhybrid
powertrains and for vehicles where the transmission is not automatic,
automated manual, manual, or dual-clutch, generate fuel maps using
paragraph (b)(4) of this section.
* * * * *
(3) Determine fuel consumption at idle as described in Sec.
1036.535(c) and (d) and determine cycle-average engine fuel maps as
described in Sec. 1036.545, including cycle-average engine fuel maps
for highway cruise cycles. Set up the test to apply accessory load for
all operation by primary intended service class as described in the
following table:
Table 1 to Paragraph (b)(3) of Sec. 1036.505--Accessory Load
------------------------------------------------------------------------
Power
representing
Primary intended service class accessory load
(kW)
------------------------------------------------------------------------
Light HDV............................................... 1.5
Medium HDV.............................................. 2.5
Heavy HDV............................................... 3.5
------------------------------------------------------------------------
(4) Generate powertrain fuel maps as described in Sec. 1036.545
instead of fuel mapping under Sec. 1036.535 or Sec. 1036.540. Note
that the option in Sec. 1036.545(b)(2) is allowed only for hybrid
engine testing. Disable stop-start systems and automatic engine
shutdown systems when conducting powertrain fuel map testing using
Sec. 1036.545.
* * * * *
0
20. Amend Sec. 1036.510 by:
0
a. Revising paragraphs (b)(2) introductory text, (b)(2)(vii), and
(b)(2)(viii);
0
b. Removing paragraph (b)(2)(ix);
0
c. Revising paragraphs (c)(2)(i) introductory text, (d) introductory
text, and (d)(1) and (2)(ii);
0
d. Removing the period in the heading in Figure 1 to paragraph (d)(4);
and
0
e. Revising paragraphs (e), (f), and (g).
The revisions read as follows:
Sec. 1036.510 Supplemental Emission Test.
* * * * *
(b) * * *
(2) Test hybrid engines and hybrid powertrains as described in
Sec. 1036.545, except as specified in this paragraph (b)(2). Do not
compensate the duty cycle for the distance driven as described in Sec.
1036.545(g)(4). For hybrid engines, select the transmission from Table
1 of Sec. 1036.540, substituting ``engine'' for ``vehicle'' and
``highway cruise cycle'' for ``SET''. Disregard duty cycles in Sec.
1036.545(j). For cycles that begin with idle, leave the transmission in
neutral or park for the full initial idle segment. Place the
transmission into drive no earlier than 5 seconds before the first
nonzero vehicle speed setpoint. For SET testing only, place the
transmission into park or neutral when the cycle reaches the final idle
segment. Use the following vehicle parameters instead of those in Sec.
1036.545 to define the vehicle model in Sec. 1036.545(a)(3):
* * * * *
(vii) Select a combination of drive axle ratio, ka, and a tire
radius, r, that represents the worst-case combination of final gear
ratio, drive axle ratio, and tire size for CO2 expected for
vehicles in which the hybrid engine or hybrid powertrain will be
installed. This is typically the highest axle ratio and smallest tire
radius. In selecting a drive axle ratio and tire radius, if
representative, ensure that the maximum vehicle speed is no less than
60 mi/hr. Manufacturers may request preliminary approval for selected
drive axle ratio and tire radius consistent with the provisions of
Sec. 1036.210. If the hybrid engine or hybrid powertrain is used
exclusively in vehicles which are not capable of reaching 60 mi/hr,
follow the provisions of 40 CFR 1066.425(b)(5).
[[Page 26104]]
Note for hybrid engines the final gear ratio can change depending on
the duty-cycle, which will change the selection of the drive axle ratio
and tire size. For example, Sec. 1036.520 prescribes a different top
gear ratio than paragraph (b)(2) of this section.
(viii) If you are certifying a hybrid engine, use a default
transmission efficiency of 0.95 and create the vehicle model along with
its default transmission shift strategy as described in Sec.
1036.545(a)(3)(ii). Use the transmission parameters defined in Table 1
of Sec. 1036.540 to determine transmission type and gear ratio. For
Light HDV and Medium HDV, use the Light HDV and Medium HDV parameters
for FTP, LLC, and SET duty cycles. For Tractors and Heavy HDVs, use the
Tractor and Heavy HDV transient cycle parameters for the FTP and LLC
duty cycles and the Tractor and Heavy HDV highway cruise cycle
parameters for the SET duty cycle.
(c) * * *
(2) * * *
(i) Determine road grade at each point based on the continuous
rated power of the hybrid powertrain, Pcontrated, in kW
determined in Sec. 1036.520, the vehicle speed (A, B, or C) in mi/hr
for a given SET mode, vref[speed], and the specified road-
grade coefficients using the following equation:
* * * * *
(d) Determine criteria pollutant emissions for plug-in hybrid
engines and plug-in hybrid powertrains as follows:
(1) Precondition the engine or powertrain in charge-sustaining
mode. Perform testing as described in this section for hybrid engines
or hybrid powertrains in charge-sustaining mode.
(2) * * *
(ii) Operate the engine or powertrain continuously over repeated
SET duty cycles until you reach the end-of-test criterion defined in 40
CFR 1066.501(a)(3).
* * * * *
(e) Determine greenhouse gas pollutant emissions for plug-in hybrid
engines and plug-in hybrid powertrains using the emissions results for
all the SET test intervals for both charge-depleting and charge-
sustaining operation from paragraph (d)(2) of this section. Calculate
the utility factor-weighted composite mass of emissions from the
charge-depleting and charge-sustaining test results,
eUF[emission]comp, using the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.032
Where:
i = an indexing variable that represents one test interval.
N = total number of charge-depleting test intervals.
e[emission][int]CDi = total mass of emissions in the
charge-depleting portion of the test for each test interval, i,
starting from i = 1, including the test interval(s) from the
transition phase.
UFDCDi = utility factor fraction at distance
DCDi from Eq. 1036.510-11, as determined by interpolating
the approved utility factor curve for each test interval, i,
starting from i = 1. Let UFDCD0 = 0.
j = an indexing variable that represents one test interval.
M = total number of charge-sustaining test intervals.
e[emission][int]CSj = total mass of emissions in the
charge-sustaining portion of the test for each test interval, j,
starting from j = 1.
UFRCD = utility factor fraction at the full charge-
depleting distance, RCD, as determined by interpolating the approved
utility factor curve. RCD is the cumulative distance driven over N
charge-depleting test intervals.
[GRAPHIC] [TIFF OMITTED] TP27AP23.033
Where:
k = an indexing variable that represents one recorded velocity
value.
Q = total number of measurements over the test interval.
v = vehicle velocity at each time step, k, starting from k = 1. For
tests completed under this section, v is the vehicle velocity from
the vehicle model in Sec. 1036.545. Note that this should include
charge-depleting test intervals that start when the engine is not
yet operating.
[Delta]t = 1/frecord
frecord = the record rate.
Example using the charge-depletion test in Figure 1 of Sec.
1036.510 for the SET for CO2 emission determination:
Q = 24000
v1 = 0 mi/hr
v2 = 0.8 mi/hr
v3 = 1.1 mi/hr
frecord = 10 Hz
[Delta]t = 1/10 Hz = 0.1 s
[GRAPHIC] [TIFF OMITTED] TP27AP23.034
DCD1 = 30.1 mi
DCD2 = 30.0 mi
DCD3 = 30.1 mi
DCD4 = 30.2 mi
DCD5 = 30.1 mi
N = 5
UFDCD1 = 0.11
UFDCD2 = 0.23
UFDCD3 = 0.34
UFDCD4 = 0.45
UFDCD5 = 0.53
eCO2SETCD1 = 0 g/hp[middot]hr
eCO2SETCD2 = 0 g/hp[middot]hr
eCO2SETCD3 = 0 g/hp[middot]hr
eCO2SETCD4 = 0 g/hp[middot]hr
eCO2SETCD5 = 174.4 g/hp[middot]hr
M = 1
eCO2SETCS = 428.1 g/hp[middot]hr
UFRCD = 0.53
[[Page 26105]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.035
eUFCO2comp = 215.2 g/hp[middot]hr
(f) Calculate and evaluate cycle statistics as specified in 40 CFR
1065.514 for nonhybrid engines and Sec. 1036.545 for hybrid engines
and hybrid powertrains.
(g) Calculate the total emission mass of each constituent, m, over
the test interval as described in 40 CFR 1065.650. For nonhybrid
engines, calculate the total work, W, over the test interval as
described in 40 CFR 1065.650(d). For hybrid engines and hybrid
powertrains, calculate total positive work over the test interval using
system power, Psys. Determine Psys, using Sec. 1036.520(f).
0
21. Amend Sec. 1036.512 by:
0
a. Revising paragraphs (b)(2)(v), (c), (d) introductory text, (d)(1)
and (2)(ii);
0
b. Removing the period in the heading in Figure 1 to paragraph (d)(4);
and
0
c. Revising paragraph (f).
The revisions read as follows:
Sec. 1036.512 Federal Test Procedure.
* * * * *
(b) * * *
(2) * * *
(v) For plug-in hybrid engines and plug-in hybrid powertrains, test
over the FTP in both charge-sustaining and charge-depleting operation
for both criteria and greenhouse gas pollutant determination.
(c) The FTP duty cycle consists of an initial run through the test
interval from a cold start as described in 40 CFR part 1065, subpart F,
followed by a (20 1) minute hot soak with no engine
operation, and then a final hot start run through the same transient
test interval. Engine starting is part of both the cold-start and hot-
start test intervals. Calculate the total emission mass of each
constituent, m, over each test interval as described in 40 CFR
1065.650. For nonhybrid engines, calculate the total work, W, over the
test interval as described in 40 CFR 1065.650(d). For hybrid engines
and hybrid powertrains, calculate total positive work over each test
interval using system power, Psys. Determine Psys
using Sec. 1036.520(f). For powertrains with automatic transmissions,
account for and include the work produced by the engine from the CITT
load. Calculate the official transient emission result from the cold-
start and hot-start test intervals using the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.036
(d) Determine criteria pollutant emissions for plug-in hybrid
engines and plug-in hybrid powertrains as follows:
(1) Precondition the engine or powertrain in charge-sustaining
mode. Perform testing as described in this section for hybrid engines
or hybrid powertrains in charge-sustaining mode.
(2) * * *
(ii) Operate the engine or powertrain over one FTP duty cycle
followed by alternating repeats of a 20-minute soak and a hot start
test interval until you reach the end-of-test criteria defined in 40
CFR 1066.501.
* * * * *
(f) Calculate and evaluate cycle statistics as specified in 40 CFR
1065.514 for nonhybrid engines and Sec. 1036.545 for hybrid engines
and hybrid powertrains.
0
22. Revise Sec. 1036.514 to read as follows:
Sec. 1036.514 Low Load Cycle.
(a) Measure emissions using the transient Low Load Cycle (LLC) as
described in this section to determine whether engines meet the LLC
emission standards in Sec. 1036.104.
(b) The LLC duty cycle is described in paragraph (d) of appendix B
of this part. The following procedures apply differently for testing
nonhybrid engines, hybrid engines, and hybrid powertrains:
(1) For nonhybrid engine testing, use the following procedures:
(i) Use the normalized speed and torque values for engine testing
in the LLC duty cycle described in paragraph (d) of appendix B of this
part.
(ii) Denormalize speed and torque values as described in 40 CFR
1065.512 and 1065.610 with the following additional requirements:
(A) The accessory load at idle described in paragraph (c) of this
section must be applied using the optional declared idle power in 40
CFR 1065.510(f)(6). Use of the optional declared idle torque in 40 CFR
1065.510(f)(5)(iii) is not allowed and must be zero.
(B) Replace paragraph 40 CFR 1065.610(d)(3)(vi) with the following:
(1) For all other idle segments less than or equal to 200 s in
length, set the reference speed and torque values to the warm-idle-in-
drive values. This is to represent the transmission operating in drive.
(2) For idle segments more than 200 s in length, set the reference
speed and torque values to the warm-idle-in-drive values for the first
three seconds and the last three seconds of the idle segment. For all
other points in the idle segment set the reference speed and torque
values to the warm-idle-in-neutral values. This is to represent the
transmission being manually shifted from drive to neutral near the
beginning of the idle segment and back to drive near the end of the
idle segment.
(iii) Calculate and evaluate cycle statistics as described in 40
CFR 1065.514. For testing spark-ignition gaseous-fueled engines with
fuel delivery at a single-point in the intake manifold, you may apply
the statistical criteria in Table 1 in this section to validate the
LLC.
[[Page 26106]]
Table 1 to Paragraph (b)(1)(iii) of Sec. 1036.514--Statistical Criteria for Validating Duty Cycles for Gaseous-
Fueled Spark-Ignition Engines \a\
----------------------------------------------------------------------------------------------------------------
Parameter Speed Torque Power
----------------------------------------------------------------------------------------------------------------
Slope, a1............................ ....................... 0.800 <=a1 <=1.030..... 0.800 <=a1 <=1.030.
Absolute value of intercept,
[verbar]a0[verbar].
Standard error of the estimate, SEE.. ....................... ....................... <=15% of maximum mapped
power.
Coefficient of determination, r2..... ....................... >=0.650................ >=0.650.
----------------------------------------------------------------------------------------------------------------
\a\ Statistical criteria apply as specified in 40 CFR 1065.514 unless otherwise specified.
(2) Test hybrid engines and hybrid powertrains as described in
Sec. 1036.510(b)(2), with the following exceptions:
(i) Replace Pcontrated with Prated, which is
the peak rated power determined in Sec. 1036.520.
(ii) Keep the transmission in drive for all idle segments 200
seconds or less. For idle segments more than 200 seconds, leave the
transmission in drive for the first 3 seconds of the idle segment,
place the transmission in park or neutral immediately after the 3rd
second in the idle segment, and shift the transmission into drive again
3 seconds before the end of the idle segment which is defined by the
first nonzero vehicle speed setpoint.
(iii) For hybrid engines, select the transmission from Table 1 of
Sec. 1036.540, substituting ``engine'' for ``vehicle''.
(iv) For hybrid engines, you may request to change the GEM-
generated engine reference torque at idle to better represent curb idle
transmission torque (CITT).
(v) For plug-in hybrid engines and plug-in hybrid powertrains,
determine criteria pollutant and greenhouse gas emissions as described
in Sec. 1036.510(d) and (e), replacing ``SET'' with ``LLC''.
(vi) Calculate and evaluate cycle statistics as specified in Sec.
1036.545.
(c) Apply a vehicle accessory load for each idle point in the cycle
based on a constant power. Use the power values in Table 2 to paragraph
(c)(3) of this section based on primary intended service class. For
nonhybrid engine testing, this is in addition to any applicable CITT.
Additional provisions related to vehicle accessory load apply for the
following special cases:
(1) For engines with stop-start technology, account for the loss of
mechanical work due to the lack of any idle accessory load during
engine-off conditions by determining the total loss of mechanical work
from idle accessory load during all engine-off intervals over the
entire test interval and distributing that work over the engine-on
intervals of the entire test interval based on a calculated average
power. You may determine the engine-off time by running practice cycles
or through engineering analysis.
(2) Apply vehicle accessory power loads on idle points for hybrid
powertrain testing where torque is measured at the axle input shaft or
wheel hubs either as a mechanical or electrical load.
(3) Table 2 follows:
Table 2 to Paragraph (c)(3) of Sec. 1036.514--Accessory Load at Idle
------------------------------------------------------------------------
Power
representing
Primary intended service class accessory load
(kW)
------------------------------------------------------------------------
Light HDE............................................... 1.5
Medium HDE.............................................. 2.5
Heavy HDE............................................... 3.5
------------------------------------------------------------------------
(d) The test sequence consists of preconditioning the engine by
running one or two FTPs with each FTP followed by (20 1)
minutes with no engine operation and a hot start run through the LLC.
You may start any preconditioning FTP with a hot engine. Perform
testing as described in 40 CFR 1065.530 for a test interval that
includes engine starting. Calculate the total emission mass of each
constituent, m, over the test interval as described in 40 CFR 1065.650.
For nonhybrid engines, calculate the total work, W, over the test
interval as described in 40 CFR 1065.650(d). For hybrid engines and
hybrid powertrains, calculate total positive work over the test
interval using system power, Psys. Determine Psys using Sec.
1036.520(f). For powertrains with automatic transmissions, account for
and include the work produced by the engine from the CITT load.
0
23. Amend Sec. 1036.520 by revising the introductory text, paragraphs
(b) introductory text, (d)(2) and (3), (h), and (i)(2) to read as
follows:
Sec. 1036.520 Determining power and vehicle speed values for
powertrain testing.
This section describes how to determine the system peak power and
continuous rated power of hybrid and nonhybrid powertrain systems and
the vehicle speed for carrying out duty-cycle testing under this part
and Sec. 1036.545.
* * * * *
(b) Set up the powertrain test according to Sec. 1036.545, with
the following exceptions:
* * * * *
(d) * * *
(2) Set maximum driver demand for a full load acceleration at 6.0%
road grade with an initial vehicle speed of 0 mi/hr, continuing for 268
seconds. You may decrease the road grade in the first 30 seconds or
increase initial vehicle speed up to 5 mi/hr as needed to mitigate
clutch slip.
(3) Linearly ramp the grade from 6.0% down to 0.0% over 300
seconds. Stop the test after the acceleration is less than 0.02 m/s\2\.
* * * * *
(h) Determine rated power, Prated, as the maximum measured power
from the data collected in paragraph (d)(2) of this section where the
COV determined in paragraph (g) of this section is less than 2%.
(i) * * *
(2) For hybrid powertrains, Pcontrated is the maximum measured
power from the data collected in paragraph (d)(3) of this section where
the COV determined in paragraph (g) of this section is less than 2%.
* * * * *
0
24. Amend Sec. 1036.525 by revising the introductory text to read as
follows:
Sec. 1036.525 Clean Idle test.
Measure emissions using the procedures described in this section to
determine whether engines and hybrid powertrains meet the clean idle
emission standards in Sec. 1036.104(b). For plug-in hybrid engines and
plug-in hybrid powertrains, perform the test with the hybrid function
disabled.
* * * * *
0
25. Amend Sec. 1036.530 by adding paragraph (j) to read as follows:
Sec. 1036.530 Test procedures for off-cycle testing.
* * * * *
[[Page 26107]]
(j) Fuel other than carbon-containing. The following procedures
apply for testing engines using at least one fuel that is not a carbon-
containing fuel:
(1) Use the following equation to determine
mCO2,norm,testinterval instead of Eq. 1036.530-2:
[GRAPHIC] [TIFF OMITTED] TP27AP23.037
Where:
Wtestinterval = total positive work over the test
interval as determined in 40 CFR 1065.650.
Pmax = the highest value of rated power for all the
configurations included in the engine family.
ttestinterval = duration of the test interval. Note that
the nominal value is 300 seconds.
Example:
Wtestinterval = 8.95 hp[middot]hr
Pmax = 406.5 hp
ttestinterval = 300.01 s = 0.08 hr
[GRAPHIC] [TIFF OMITTED] TP27AP23.038
mCO2,norm,testinterval = 0.2722
mCO2,norm,testinterval = 27.22%
(2) Determine off-cycle emissions quantities as follows:
(i) For engines subject to spark-ignition standards, use the
following equation instead of Eq. 1036.530-3:
[GRAPHIC] [TIFF OMITTED] TP27AP23.039
Where:
m[emission] = total emission mass for a given
pollutant over the test interval as determined in paragraph (d)(2)
of this section.
Wtestinterval = total positive work over the test
interval as determined in 40 CFR 1065.650.
Example:
mNOx = 1.337 g
Wtestinterval = 38.2 hp[middot]hr
[GRAPHIC] [TIFF OMITTED] TP27AP23.040
eNOx,offcycle = 0.035 g/hp[middot]hr
(ii) For engines subject to compression-ignition standards, use Eq.
1036.530-4 to determine the off-cycle emission quantity for bin 1.
(iii) For engines subject to compression-ignition standards, use
the following equation instead of Eq. 1036.530-5 to determine the off-
cycle emission quantity for bin 2:
[GRAPHIC] [TIFF OMITTED] TP27AP23.041
Where:
i = an indexing variable that represents one 300 second test
interval.
N = total number of 300 second test intervals in bin 2.
m[emission],testinterval,i = total emission mass for a
given pollutant over the test interval i in bin 2 as determined in
paragraph (d)(2) of this section.
Wtestinterval,i = total positive work over the test
interval i in bin 2 as determined in 40 CFR 1065.650.
Example:
N = 15439
mNOx1 = 0.546 g
mNOx2 = 0.549 g
mNOx3 = 0.556 g
Wtestinterval1 = 8.91 hp[middot]hr
Wtestinterval2 = 8.94 hp[middot]hr
Wtestinterval3 = 8.89 hp[middot]hr
[GRAPHIC] [TIFF OMITTED] TP27AP23.042
eNOx,offcycle,bin2 = 0.026 g/hp[middot]hr
0
26. Amend Sec. 1036.535 by revising paragraphs (b)(1)(ii) introductory
text, (b)(1)(ii)(B), (b)(1)(iii), and (b)(10) to read as follows:
Sec. 1036.535 Determining steady-state engine fuel maps and fuel
consumption at idle.
* * * * *
(b) * * *
(1) * * *
(ii) Select the following required torque setpoints at each of the
selected speed setpoints: zero (T = 0), maximum mapped torque, Tmax
mapped, and eight (or more) equally spaced points between T = 0 and
Tmax mapped. Select the maximum torque setpoint at each speed to
conform to the torque map as follows:
* * * * *
(B) Select Tmax at each speed setpoint as a single
torque value to represent all
[[Page 26108]]
the default torque setpoints above the value determined in paragraph
(b)(1)(ii)(A) of this section. All of the other default torque
setpoints less than Tmax at a given speed setpoint are
required torque setpoints.
(iii) You may select any additional speed and torque setpoints
consistent with good engineering judgment. For example you may need to
select additional points if the engine's fuel consumption is nonlinear
across the torque map. Avoid creating a problem with interpolation
between narrowly spaced speed and torque setpoints near
Tmax. For each additional speed setpoint, we recommend
including a torque setpoint of Tmax; however, you may select
torque setpoints that properly represent in-use operation. Increments
for torque setpoints between these minimum and maximum values at an
additional speed setpoint must be no more than one-ninth of
Tmax,mapped. Note that if the test points were added for the
child rating, they should still be reported in the parent fuel map. We
will test with at least as many points as you. If you add test points
to meet testing requirements for child ratings, include those same test
points as reported values for the parent fuel map. For our testing, we
will use the same normalized speed and torque test points you use, and
we may select additional test points.
* * * * *
(10) Correct the measured or calculated mean fuel mass flow rate,
at each of the operating points to account for mass-specific net energy
content as described in paragraph (e) of this section.
* * * * *
0
27. Amend Sec. 1036.540 by revising paragraph (b) to read as follows:
Sec. 1036.540 Determining cycle-average engine fuel maps.
* * * * *
(b) General test provisions. The following provisions apply for
testing under this section:
(1) Measure NOX emissions for each specified sampling
period in grams. You may perform these measurements using a
NOX emission-measurement system that meets the requirements
of 40 CFR part 1065, subpart J. Include these measured NOX
values any time you report to us your fuel-consumption values from
testing under this section. If a system malfunction prevents you from
measuring NOX emissions during a test under this section but
the test otherwise gives valid results, you may consider this a valid
test and omit the NOX emission measurements; however, we may
require you to repeat the test if we determine that you inappropriately
voided the test with respect to NOX emission measurement.
(2) The provisions related to carbon balance error verification in
Sec. 1036.543 apply for all testing in this section. These procedures
are optional, but we will perform carbon balance error verification for
all testing under this section.
(3) Correct fuel mass to a mass-specific net energy content of a
reference fuel as described in paragraph (d)(13) of this section.
(4) This section uses engine parameters and variables that are
consistent with 40 CFR part 1065.
* * * * *
0
28. Revise Sec. 1036.543 to read as follows:
Sec. 1036.543 Carbon balance error verification.
The optional carbon balance error verification in 40 CFR 1065.543
compares independent assessments of the flow of carbon through the
system (engine plus aftertreatment). This procedure applies for each
individual interval in Sec. Sec. 1036.535(b), (c), and (d), 1036.540,
and 1036.545.
0
29. Add Sec. 1036.545 to read as follows:
Sec. 1036.545 Powertrain testing.
This section describes the procedure to measure fuel consumption
and create engine fuel maps by testing a powertrain that includes an
engine coupled with a transmission, drive axle, and hybrid components
or any assembly with one or more of those hardware elements. Engine
fuel maps are part of demonstrating compliance with Phase 2 and Phase 3
vehicle standards under 40 CFR part 1037; the powertrain test procedure
in this section is one option for generating this fuel-mapping
information as described in Sec. 1036.505. Additionally, this
powertrain test procedure is one option for certifying hybrid engines
and hybrid powertrains to the engine standards in Sec. Sec. 1036.104
and 1036.108.
(a) General test provisions. The following provisions apply broadly
for testing under this section:
(1) Measure NOX emissions as described in paragraph (k)
of this section. Include these measured NOX values any time
you report to us your greenhouse gas emissions or fuel consumption
values from testing under this section.
(2) The procedures of 40 CFR part 1065 apply for testing in this
section except as specified. This section uses engine parameters and
variables that are consistent with 40 CFR part 1065.
(3) Powertrain testing depends on models to calculate certain
parameters. You can use the detailed equations in this section to
create your own models, or use the GEM HIL model contained within GEM
Phase 2, Version 4.0 (incorporated by reference, see Sec. 1036.810) to
simulate vehicle hardware elements as follows:
(i) Create driveline and vehicle models that calculate the angular
speed setpoint for the test cell dynamometer, fnref,dyno,
based on the torque measurement location. Use the detailed equations in
paragraph (f) of this section, the GEM HIL model's driveline and
vehicle submodels, or a combination of the equations and the submodels.
You may use the GEM HIL model's transmission submodel in paragraph (f)
of this section to simulate a transmission only if testing hybrid
engines.
(ii) Create a driver model or use the GEM HIL model's driver
submodel to simulate a human driver modulating the throttle and brake
pedals to follow the test cycle as closely as possible.
(iii) Create a cycle-interpolation model or use the GEM HIL model's
cycle submodel to interpolate the duty-cycles and feed the driver model
the duty-cycle reference vehicle speed for each point in the duty-
cycle.
(4) The powertrain test procedure in this section is designed to
simulate operation of different vehicle configurations over specific
duty cycles. See paragraphs (h) and (j) of this section.
(5) For each test run, record engine speed and torque as defined in
40 CFR 1065.915(d)(5) with a minimum sampling frequency of 1 Hz. These
engine speed and torque values represent a duty cycle that can be used
for separate testing with an engine mounted on an engine dynamometer
under 40 CFR 1037.551, such as for a selective enforcement audit as
described in 40 CFR 1037.301.
(6) For hybrid powertrains with no plug-in capability, correct for
the net energy change of the energy storage device as described in 40
CFR 1066.501. For plug-in hybrid electric powertrains, follow 40 CFR
1066.501 to determine End-of-Test for charge-depleting operation. You
must get our approval in advance for your utility factor curve; we will
approve it if you can show that you created it, using good engineering
judgment, from sufficient in-use data of vehicles in the same
application as the vehicles in which the plug-in hybrid electric
powertrain will be installed. You may use methodologies described in
SAE J2841 to develop the utility factor curve.
[[Page 26109]]
(7) The provisions related to carbon balance error verification in
Sec. 1036.543 apply for all testing in this section. These procedures
are optional if you are only performing direct or indirect fuel-flow
measurement, but we will perform carbon balance error verification for
all testing under this section.
(8) Do not apply accessory loads when conducting a powertrain test
to generate inputs to GEM if torque is measured at the axle input shaft
or wheel hubs.
(9) If you test a powertrain over the duty cycle specified in Sec.
1036.514, control and apply the electrical accessory loads using one of
the following systems:
(i) An alternator with dynamic electrical load control.
(ii) A load bank connected directly to the powertrain's electrical
system.
(10) The following instruments are required with plug-in hybrid
systems to determine required voltages and currents during testing and
must be installed on the powertrain to measure these values during
testing:
(i) Measure the voltage and current of the battery pack directly
with a DC wideband power analyzer to determine power. Measure all
current entering and leaving the battery pack. Do not measure voltage
upstream of this measurement point. The maximum integration period for
determining amp-hours is 0.05 seconds. The power analyzer must have an
accuracy for measuring current and voltage of 1% of point or 0.3% of
maximum, whichever is greater. The power analyzer must not be
susceptible to offset errors while measuring current.
(ii) If safety considerations do not allow for measuring voltage,
you may determine the voltage directly from the powertrain ECM.
(11) The following figure provides an overview of the steps
involved in carrying out testing under this section:
[[Page 26110]]
Figure 1 to Paragraph (a)(11) of Sec. 1036.545--Overview of Powertrain
Testing
[GRAPHIC] [TIFF OMITTED] TP27AP23.043
[[Page 26111]]
(b) Test configuration. Select a powertrain for testing as
described in 40 CFR 1037.235 or Sec. 1036.235 as applicable. Set up
the engine according to 40 CFR 1065.110 and 40 CFR 1065.405(b). Set the
engine's idle speed to idle speed defined in 40 CFR 1037.520(h)(1).
(1) The default test configuration consists of a powertrain with
all components upstream of the axle. This involves connecting the
powertrain's output shaft directly to the dynamometer or to a gear box
with a fixed gear ratio and measuring torque at the axle input shaft.
You may instead set up the dynamometer to connect at the wheel hubs and
measure torque at that location. The preceding sentence may apply if
your powertrain configuration requires it, such as for hybrid
powertrains or if you want to represent the axle performance with
powertrain test results. Alternately you may test the powertrain with a
chassis dynamometer as long as you measure speed and torque at the
powertrain's output shaft or wheel hubs.
(2) For testing hybrid engines, connect the engine's crankshaft
directly to the dynamometer and measure torque at that location.
(c) Powertrain temperatures during testing. Cool the powertrain
during testing so temperatures for oil, coolant, block, head,
transmission, battery, and power electronics are within the
manufacturer's expected ranges for normal operation. You may use
electronic control module outputs to comply with this paragraph (c).
You may use auxiliary coolers and fans.
(d) Engine break in. Break in the engine according to 40 CFR
1065.405, the axle assembly according to 40 CFR 1037.560, and the
transmission according to 40 CFR 1037.565. You may instead break in the
powertrain as a complete system using the engine break in procedure in
40 CFR 1065.405.
(e) Dynamometer setup. Set the dynamometer to operate in speed-
control mode (or torque-control mode for hybrid engine testing at idle,
including idle portions of transient duty cycles). Record data as
described in 40 CFR 1065.202. Command and control the dynamometer speed
at a minimum of 5 Hz, or 10 Hz for testing hybrid engines. Run the
vehicle model to calculate the dynamometer setpoints at a rate of at
least 100 Hz. If the dynamometer's command frequency is less than the
vehicle model dynamometer setpoint frequency, subsample the calculated
setpoints for commanding the dynamometer setpoints.
(f) Driveline and vehicle model. Use the GEM HIL model's driveline
and vehicle submodels or the equations in this paragraph (f) to
calculate the dynamometer speed setpoint, fnref,dyno, based
on the torque measurement location. For all powertrains, configure GEM
with the accessory load set to zero. For hybrid engines, configure GEM
with the applicable accessory load as specified in Sec. Sec. 1036.505
and 1036.514. For all powertrains and hybrid engines, configure GEM
with the tire slip model disabled.
(1) Driveline model with a transmission in hardware. For testing
with torque measurement at the axle input shaft or wheel hubs,
calculate, fnref,dyno, using the GEM HIL model's driveline submodel or
the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.044
Where:
ka[speed] = drive axle ratio as determined in paragraph
(h) of this section. Set ka[speed] equal to 1.0 if torque
is measured at the wheel hubs.
vrefi = simulated vehicle reference speed as calculated
in paragraph (f)(3) of this section.
r[speed] = tire radius as determined in paragraph (h) of
this section.
(2) Driveline model with a simulated transmission. For testing with
the torque measurement at the engine's crankshaft,
fnref,dyno is the dynamometer target speed from the GEM HIL
model's transmission submodel. You may request our approval to change
the transmission submodel, as long as the changes do not affect the
gear selection logic. Before testing, initialize the transmission model
with the engine's measured torque curve and the applicable steady-state
fuel map from the GEM HIL model. You may request our approval to input
your own steady-state fuel map. For example, this request for approval
could include using a fuel map that represents the combined performance
of the engine and hybrid components. Configure the torque converter to
simulate neutral idle when using this procedure to generate engine fuel
maps in Sec. 1036.505 or to perform the Supplemental Emission Test
(SET) testing under Sec. 1036.510. You may change engine commanded
torque at idle to better represent CITT for transient testing under
Sec. 1036.512. You may change the simulated engine inertia to match
the inertia of the engine under test. We will evaluate your requests
under this paragraph (f)(2) based on your demonstration that that the
adjusted testing better represents in-use operation.
(i) The transmission submodel needs the following model inputs:
(A) Torque measured at the engine's crankshaft.
(B) Engine estimated torque determined from the electronic control
module or by converting the instantaneous operator demand to an
instantaneous torque in N[middot]m.
(C) Dynamometer mode when idling (speed-control or torque-control).
(D) Measured engine speed when idling.
(E) Transmission output angular speed, fni,transmission, calculated
as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.045
Where:
ka[speed] = drive axle ratio as determined in paragraph
(h) of this section.
vrefi = simulated vehicle reference speed as calculated
in paragraph (f)(3) of this section.
r[speed] = tire radius as determined in paragraph (h) of
this section.
(ii) The transmission submodel generates the following model
outputs:
(A) Dynamometer target speed.
(B) Dynamometer idle load.
(C) Transmission engine load limit.
(D) Engine speed target.
(3) Vehicle model. Calculate the simulated vehicle reference speed,
[nu]refi, using the GEM HIL model's vehicle submodel or the
equations in this paragraph (f)(3):
[[Page 26112]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.046
Where:
i = a time-based counter corresponding to each measurement during
the sampling period.
Let vref1 = 0; start calculations at i = 2. A 10-minute
sampling period will generally involve 60,000 measurements.
T = instantaneous measured torque at the axle input, measured at the
wheel hubs, or simulated by the GEM HIL model's transmission
submodel. For configurations with multiple torque measurements, for
example when measuring torque at the wheel hubs, T is the sum of all
torque measurements.
Effaxle = axle efficiency. Use Effaxle = 0.955
for T >= 0, and use Effaxle = 1/0.955 for T < 0. Use
Effaxle = 1.0 if torque is measured at the wheel hubs.
M = vehicle mass for a vehicle class as determined in paragraph (h)
of this section.
g = gravitational constant = 9.80665 m/s\2\.
Crr = coefficient of rolling resistance for a vehicle
class as determined in paragraph (h) of this section.
Gi-1 = the percent grade interpolated at distance,
Di-1, from the duty cycle in appendix D to this part
corresponding to measurement (i-1).
[GRAPHIC] [TIFF OMITTED] TP27AP23.047
[rho] = air density at reference conditions. Use [rho] = 1.1845 kg/
m\3\.
CdA = drag area for a vehicle class as determined in
paragraph (h) of this section.
Fbrake,i-1 = instantaneous braking force applied by the
driver model.
[GRAPHIC] [TIFF OMITTED] TP27AP23.048
[Delta]t = the time interval between measurements. For example, at
100 Hz, [Delta]t = 0.0100 seconds.
Mrotating = inertial mass of rotating components. Let
Mrotating = 340 kg for vocational Light HDV or vocational
Medium HDV. See paragraph (h) of this section for tractors and for
vocational Heavy HDV.
(4) Example. The following example illustrates a calculation of
fnref,dyno using paragraph (f)(1) of this section where
torque is measured at the axle input shaft. This example is for a
vocational Light HDV or vocational Medium HDV with 6 speed automatic
transmission at B speed (Test 4 in Table 1 to paragraph (h)(2)(ii) of
this section).
[[Page 26113]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.049
(g) Driver model. Use the GEM HIL model's driver submodel or design
a driver model to simulate a human driver modulating the throttle and
brake pedals. In either case, tune the model to follow the test cycle
as closely as possible meeting the following specifications:
(1) The driver model must meet the following speed requirements:
(i) For operation over the highway cruise cycles, the speed
requirements described in 40 CFR 1066.425(b) and (c).
(ii) For operation over the transient cycle specified in appendix A
of this part, the SET as defined Sec. 1036.510, the Federal Test
Procedure (FTP) as defined in Sec. 1036.512, and the Low Load Cycle
(LLC) as defined in Sec. 1036.514, the speed requirements described in
40 CFR 1066.425(b) and (c).
(iii) The exceptions in 40 CFR 1066.425(b)(4) apply to the highway
cruise cycles, the transient cycle specified in appendix A of this
part, SET, FTP, and LLC.
(iv) If the speeds do not conform to these criteria, the test is
not valid and must be repeated.
(2) Send a brake signal when operator demand is zero and vehicle
speed is greater than the reference vehicle speed from the test cycle.
Include a delay before changing the brake signal to prevent dithering,
consistent with good engineering judgment.
(3) Allow braking only if operator demand is zero.
(4) Compensate for the distance driven over the duty cycle over the
course of the test. Use the following equation to perform the
compensation in real time to determine your time in the cycle:
[GRAPHIC] [TIFF OMITTED] TP27AP23.050
Where:
vvehicle = measured vehicle speed.
vcycle = reference speed from the test cycle. If
vcycle,i-1 < 1.0 m/s, set
vcycle,i-1 = vvehiclei-1
(h) Vehicle configurations to evaluate for generating fuel maps as
defined in Sec. 1036.505. Configure the driveline and vehicle models
from paragraph (f) of this section in the test cell to test the
powertrain. Simulate multiple vehicle configurations that represent the
range of intended vehicle applications using one of the following
options:
(1) For known vehicle configurations, use at least three equally
spaced axle ratios or tire sizes and three different road loads (nine
configurations), or at least four equally spaced axle ratios or tire
sizes and two different road loads (eight configurations). Select axle
ratios to represent the full range of expected vehicle installations.
Select axle ratios and tire sizes such that the ratio of
[[Page 26114]]
engine speed to vehicle speed covers the range of ratios of minimum and
maximum engine speed to vehicle speed when the transmission is in top
gear for the vehicles in which the powertrain will be installed. Note
that you do not have to use the same axle ratios and tire sizes for
each GEM regulatory subcategory. You may determine appropriate
Crr, CdA, and mass values to cover the range of
intended vehicle applications or you may use the Crr,
CdA, and mass values specified in paragraph (h)(2) of this
section.
(2) If vehicle configurations are not known, determine the vehicle
model inputs for a set of vehicle configurations as described in Sec.
1036.540(c)(3) with the following exceptions:
(i) In the equations of Sec. 1036.540(c)(3)(i),
ktopgear is the actual top gear ratio of the powertrain
instead of the transmission gear ratio in the highest available gear
given in Table 1 in Sec. 1036.540.
(ii) Test at least eight different vehicle configurations for
powertrains that will be installed in Spark-ignition HDE, vocational
Light HDV, and vocational Medium HDV using the following table instead
of Table 2 in Sec. 1036.540:
[GRAPHIC] [TIFF OMITTED] TP27AP23.051
(iii) Select and test vehicle configurations as described in Sec.
1036.540(c)(3)(iii) for powertrains that will be installed in
vocational Heavy HDV and tractors using the following tables instead of
Table 3 and Table 4 in Sec. 1036.540:
[GRAPHIC] [TIFF OMITTED] TP27AP23.052
[[Page 26115]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.053
(3) For hybrid powertrain systems where the transmission will be
simulated, use the transmission parameters defined in Sec.
1036.540(c)(2) to determine transmission type and gear ratio. Use a
fixed transmission efficiency of 0.95. The GEM HIL transmission model
uses a transmission parameter file for each test that includes the
transmission type, gear ratios, lockup gear, torque limit per gear from
Sec. 1036.540(c)(2), and the values from Sec. 1036.505(b)(4) and (c).
(i) [Reserved]
(j) Duty cycles to evaluate. Operate the powertrain over each of
the duty cycles specified in 40 CFR 1037.510(a)(2), and for each
applicable vehicle configuration from paragraph (h) of this section.
Determine cycle-average powertrain fuel maps by testing the powertrain
using the procedures in Sec. 1036.540(d) with the following
exceptions:
(1) Understand ``engine'' to mean ``powertrain''.
(2) Warm up the powertrain as described in Sec. 1036.520(c)(1).
(3) Within 90 seconds after concluding the warm-up, start the
transition to the preconditioning cycle as described in paragraph
(j)(5) of this section.
(4) For plug-in hybrid engines, precondition the battery and then
complete all back-to-back tests for each vehicle configuration
according to 40 CFR 1066.501 before moving to the next vehicle
configuration. Figure 2 of this section provides an example of a
charge-depleting test sequence where there are two test intervals that
contain engine operation. Figure 2 follows:
Figure 2 to Paragraph (j)(4) of Sec. 1036.545--Generic Duty-Cycle
Cycle Charge-Depleting Test Sequence
[GRAPHIC] [TIFF OMITTED] TP27AP23.054
(5) If the preceding duty cycle does not end at 0 mi/hr, transition
between duty cycles by decelerating at a rate of 2 mi/hr/s at 0% grade
until the vehicle reaches zero speed. Shut off the powertrain. Prepare
the powertrain and test cell for the next duty-cycle.
[[Page 26116]]
(6) Start the next duty-cycle within 60 to 180 seconds after
shutting off the powertrain.
(i) To start the next duty-cycle, for hybrid powertrains, key on
the vehicle and then start the duty-cycle. For conventional powertrains
key on the vehicle, start the engine, wait for the engine to stabilize
at idle speed, and then start the duty-cycle.
(ii) If the duty-cycle does not start at 0 mi/hr, transition to the
next duty cycle by accelerating at a target rate of 1 mi/hr/s at 0%
grade. Stabilize for 10 seconds at the initial duty cycle conditions
and start the duty-cycle.
(7) Calculate cycle work using GEM or the speed and torque from the
driveline and vehicle models from paragraph (f) of this section to
determine the sequence of duty cycles.
(8) Calculate the mass of fuel consumed for idle duty cycles as
described in paragraph (n) of this section.
(k) Measuring NOX emissions. Measure NOX
emissions for each sampling period in grams. You may perform these
measurements using a NOX emission-measurement system that
meets the requirements of 40 CFR part 1065, subpart J. If a system
malfunction prevents you from measuring NOX emissions during
a test under this section but the test otherwise gives valid results,
you may consider this a valid test and omit the NOX emission
measurements; however, we may require you to repeat the test if we
determine that you inappropriately voided the test with respect to
NOX emission measurement.
(l) [Reserved]
(m) Measured output speed validation. For each test point, validate
the measured output speed(s) with the corresponding reference values.
For test setups where speed is measured at multiple locations, each
location must meet the requirements in this paragraph (m). If the range
of reference speed is less than 10 percent of the mean reference speed,
you need to meet only the standard error of the estimate in Table 1 of
this section. You may delete points when the vehicle is stopped. If
your speed measurement is not at the location of fnref, correct your
measured speed using the constant speed ratio between the two
locations. Apply cycle-validation criteria for each separate transient
or highway cruise cycle based on the following parameters:
Table 4 to Paragraph (m) of Sec. 1036.545--Statistical Criteria for
Validating Duty Cycles
------------------------------------------------------------------------
Parameter \a\ Speed control
------------------------------------------------------------------------
Slope, a1................................. 0.990 <= a1 <= 1.010.
Absolute value of intercept, <=2.0% of maximum fnref
[verbar]a0[verbar]. speed.
Standard error of the estimate, SEE....... <=2.0% of maximum fnref
speed.
Coefficient of determination, r2.......... >=0.990.
------------------------------------------------------------------------
\a\ Determine values for specified parameters as described in 40 CFR
1065.514(e) by comparing measured and reference values for fnref,dyno.
(n) Fuel consumption at idle. Record measurements using direct and/
or indirect measurement of fuel flow. Determine the fuel-consumption
rates at idle for the applicable duty cycles described in 40 CFR
1037.510(a)(2) as follows:
(1) Direct fuel flow measurement. Determine the corresponding mean
values for mean idle fuel mass flow rate, mifuelidle, for
each duty cycle, as applicable. Use of redundant direct fuel-flow
measurements require our advance approval.
(2) Indirect fuel flow measurement. Record speed and torque and
measure emissions and other inputs needed to run the chemical balance
in 40 CFR 1065.655(c). Determine the corresponding mean values for each
duty cycle. Use of redundant indirect fuel-flow measurements require
our advance approval. Measure background concentration as described in
Sec. 1036.535(b)(4)(ii). We recommend setting the CVS flow rate as low
as possible to minimize background, but without introducing errors
related to insufficient mixing or other operational considerations.
Note that for this testing 40 CFR 1065.140(e) does not apply, including
the minimum dilution ratio of 2:1 in the primary dilution stage.
Calculate the idle fuel mass flow rate for each duty cycle,
mifuelidle, for each set of vehicle settings, as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.055
Where:
MC = molar mass of carbon.
wCmeas = carbon mass fraction of fuel (or mixture of test
fuels) as determined in 40 CFR 1065.655(d), except that you may not
use the default properties in Table 2 of 40 CFR 1065.655 to
determine [alpha], [beta], and wC for liquid fuels.
niexh = the mean raw exhaust molar flow rate from which
you measured emissions according to 40 CFR 1065.655.
xCcombdry = the mean concentration of carbon from fuel
and any injected fluids in the exhaust per mole of dry exhaust.
xH2Oexhdry = the mean concentration of H2O in
exhaust per mole of dry exhaust.
miCO2DEF = the mean CO2 mass emission rate
resulting from diesel exhaust fluid decomposition over the duty
cycle as determined in Sec. 1036.535(b)(9). If your engine does not
use diesel exhaust fluid, or if you choose not to perform this
correction, set equal to 0.
MCO2 = molar mass of carbon dioxide.
Example:
[[Page 26117]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.056
(o) Create GEM inputs. Use the results of powertrain testing to
determine GEM inputs for the different simulated vehicle configurations
as follows:
(1) Correct the measured or calculated fuel masses,
mfuel[cycle], and mean idle fuel mass flow rates,
mifuelidle, if applicable, for each test result to a mass-
specific net energy content of a reference fuel as described in Sec.
1036.535(e), replacing mean fuel with mifuelidle with
mfuel[cycle] where applicable in Eq. 1036.535-4.
(2) Declare fuel masses, mfuel[cycle] and
mifuelidle. Determine mfuel[cycle] using the
calculated fuel mass consumption values described in Sec.
1036.540(d)(12). In addition, declare mean fuel mass flow rate for each
applicable idle duty cycle, mifuelidle. These declared
values may not be lower than any corresponding measured values
determined in this section. If you use both direct and indirect
measurement of fuel flow, determine the corresponding declared values
as described in Sec. 1036.535(g)(2) and (3). These declared values,
which serve as emission standards, collectively represent the
powertrain fuel map for certification.
(3) For engines designed for plug-in hybrid electric vehicles, the
mass of fuel for each cycle, mfuel[cycle], is the utility
factor-weighted fuel mass, mfuelUF[cycle]. This is
determined by calculating mfuel for the full charge-
depleting and charge-sustaining portions of the test and weighting the
results, using the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.057
Where:
i = an indexing variable that represents one test interval.
N = total number of charge-depleting test intervals.
mfuel[cycle]CDi = total mass of fuel in the charge-
depleting portion of the test for each test interval, i, starting
from i = 1, including the test interval(s) from the transition
phase.
UFDCDi = utility factor fraction at distance
DCDi from Eq. 40 CFR 1037.505-9 as determined by
interpolating the approved utility factor curve for each test
interval, i, starting from i = 1.
Let UFDCD0 = 0
j = an indexing variable that represents one test interval.
M = total number of charge-sustaining test intervals.
mfuel[cycle]CSj = total mass of fuel over the charge-
sustaining portion of the test for each test interval, j, starting
from j = 1.
UFRCD = utility factor fraction at the full charge-
depleting distance, RCD, as determined by interpolating the approved
utility factor curve. RCD is the cumulative distance driven over N
charge-depleting test intervals.
[GRAPHIC] [TIFF OMITTED] TP27AP23.058
Where:
k = an indexing variable that represents one recorded velocity
value.
Q = total number of measurements over the test interval.
v = vehicle velocity at each time step, k, starting from k = 1. For
tests completed under this section, v is the vehicle velocity as
determined by Eq. 1036.545-1. Note that this should include charge-
depleting test intervals that start when the engine is not yet
operating.
[Delta]t = 1/frecord
frecord = the record rate.
Example for the 55 mi/hr cruise cycle:
Q = 8790
v1 = 55.0 mi/hr
v2 = 55.0 mi/hr
v3 = 55.1 mi/hr
frecord = 10 Hz
[Delta]t = 1/10 Hz = 0.1 s
[[Page 26118]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.059
DCD2 = 13.4 mi
DCD3 = 13.4 mi
N = 3
UFDCD1 = 0.05
UFDCD2 = 0.11
UFDCD3 = 0.21
mfuel55cruiseCD1 = 0 g
mfuel55cruiseCD2 = 0 g
mfuel55cruiseCD3 = 1675.4 g
M = 1
mfuel55cruiseCS = 4884.1 g
UFRCD = 0.21
[GRAPHIC] [TIFF OMITTED] TP27AP23.060
mfuelUF55cruise = 4026.0 g
(4) For the transient cycle specified in 40 CFR 1037.510(a)(2)(i),
calculate powertrain output speed per unit of vehicle speed,
[GRAPHIC] [TIFF OMITTED] TP27AP23.061
using one of the following methods:
(i) For testing with torque measurement at the axle input shaft:
[GRAPHIC] [TIFF OMITTED] TP27AP23.062
Example:
ka = 4.0
rB = 0.399 m
[GRAPHIC] [TIFF OMITTED] TP27AP23.063
(ii) For testing with torque measurement at the wheel hubs, use Eq.
1036.545-8 setting ka equal to 1.
(iii) For testing with torque measurement at the engine's
crankshaft:
[GRAPHIC] [TIFF OMITTED] TP27AP23.064
Where:
fnengine = average engine speed when vehicle speed is at
or above 0.100 m/s.
vref = average simulated vehicle speed at or above 0.100
m/s.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.065
(5) Calculate engine idle speed, by taking the average engine speed
measured during the transient cycle test while the vehicle speed is
below 0.100 m/s. (Note: Use all the charge-sustaining test intervals
when determining engine idle speed for plug-in hybrid engines and plug-
in hybrid powertrains.)
(6) For the cruise cycles specified in 40 CFR 1037.510(a)(2)(ii),
calculate the average powertrain output speed, fnpowertrain,
and the average powertrain output torque (positive torque only),
Tpowertrain at vehicle speed at or above 0.100 m/s. (Note:
Use all the charge-sustaining and charge-depleting test intervals when
determining fnpowertrain and Tpowertrain for
plug-in hybrid engines and plug-in hybrid powertrains.)
(7) Calculate positive work, W[cycle], as the work over
the duty cycle at the axle input shaft, wheel hubs, or the engine's
crankshaft, as applicable, when vehicle speed is at or above 0.100 m/s.
For plug-in hybrid engines and plug-in hybrid powertrains, calculate
W[cycle] by calculating the positive work over each of the
charge-sustaining and charge-depleting test intervals and then
averaging them together. For test setups where speed and torque are
measured at multiple locations, determine W[cycle] by
integrating the sum of the power measured at each location.
(8) The following tables illustrate the GEM data inputs
corresponding to the different vehicle configurations for a given duty
cycle:
(i) For the transient cycle:
[[Page 26119]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.066
(ii) For the cruise cycles:
Table 6 to Paragraph (o)(8)(ii) of Sec. 1036.545--Generic Example of Output Matrix for Cruise Cycle Vehicle
Configurations
----------------------------------------------------------------------------------------------------------------
Configuration
Parameter --------------------------------------------------------------------------------
1 2 3 4 5 6 7 . . . n
----------------------------------------------------------------------------------------------------------------
mfuel[cycle]...................
fpowertrain[cycle].............
Tpowertrain[cycle].............
W[cycle].......................
----------------------------------------------------------------------------------------------------------------
(p) Determining useable battery energy. Useable battery energy
(UBE) is defined as the total DC discharge energy,
EDCDtotal, measured in DC Watt hours, over the charge-
depleting portion of the test sequence determined in paragraph (p)(2)
of this section for the Heavy-duty Transient Test Cycle in 40 CFR part
1037, appendix A. Select a representative vehicle configuration from
paragraph (h) of this section for determination of UBE. UBE represents
the total deliverable energy the battery is capable of providing while
a powertrain is following a duty cycle on a dynamometer.
(1) Measure DC discharge energy, EDCD, in watt-hours and
DC discharge current per hour, CD, for the charge-depleting
portion of the test sequence. The measurement points must capture all
the current flowing into and out of the battery pack during powertrain
operation, including current associated with regenerative braking. The
equation for calculating powertrain EDCD is given in Eq.
1036.545-12, however, it is expected that this calculation will
typically be performed internally by the power analyzer specified in
paragraph (a)(10)(i) of this section. Battery voltage measurements made
by the powertrain's own on-board sensors (such as those available via a
diagnostic port) may be used for calculating EDCD if these measurements
are equivalent to those produced by the power analyzer.
[GRAPHIC] [TIFF OMITTED] TP27AP23.067
Where:
i = an indexing variable that represents one individual measurement.
N = total number of measurements.
V = battery DC bus voltage.
I = battery current.
[Delta]t = 1/frecord
frecord = the data recording frequency.
Example:
N = 13360
V1 = 454.0
V2 = 454.0
I1 = 0
I2 = 0
frecord = 20 Hz
[Delta]t = 1/20 = 0.05 s
[GRAPHIC] [TIFF OMITTED] TP27AP23.068
EDCD = 6540232.7 W[middot]s = 1816.7 W[middot]hr
(2) Determine a declared UBE that is at or below the corresponding
value determined in paragraph (p)(1) of this section, including those
from redundant measurements. This declared UBE serves as the initial
UBE determined under 40 CFR 1037.115(f).
0
30. Amend Sec. 1036.550 by revising paragraphs (b)(1)(i), (b)(2)
introductory text, and (b)(2)(i) to read as follows:
Sec. 1036.550 Calculating greenhouse gas emission rates.
* * * * *
(b) * * *
(1) * * *
(i) For liquid fuels, determine Emfuelmeas according to
ASTM D4809 (incorporated by reference, see Sec. 1036.810). Have the
sample analyzed by at least three different labs and determine the
final value of your test fuel's Emfuelmeas as the median of
all the lab test results you obtained as described in 40 CFR
1065.602(m). If you have results from three different labs, we
recommend you screen them to
[[Page 26120]]
determine if additional observations are needed. To perform this
screening, determine the absolute value of the difference between each
lab result and the average of the other two lab results. If the largest
of these three resulting absolute value differences is greater than
0.297 MJ/kg, we recommend you obtain additional results prior to
determining the final value of Emfuelmeas.
* * * * *
(2) Determine your test fuel's carbon mass fraction, wC,
as described in 40 CFR 1065.655(d), expressed to at least three decimal
places; however, you must measure fuel properties for [alpha] and
[beta] rather than using the default values specified in 40 CFR
1065.655(e).
(i) For liquid fuels, have the sample analyzed by at least three
different labs and determine the final value of your test fuel's
wC as the median of all of the lab results you obtained as
described in 40 CFR 1065.602(m). If you have results from three
different labs, we recommend you screen them to determine if additional
observations are needed. To perform this screening, determine the
absolute value of the difference between each lab result and the
average of the other two lab results. If the largest of these three
resulting absolute value differences is greater than 1.56 percent
carbon, we recommend you obtain additional results prior to determining
the final value of wC.
* * * * *
0
31. Amend Sec. 1036.605 by revising paragraph (e) to read as follows:
Sec. 1036.605 Alternate emission standards for engines used in
specialty vehicles.
* * * * *
(e) In a separate application for a certificate of conformity,
identify the corresponding nonroad engine family, describe the label
required under section, state that you meet applicable diagnostic
requirements under 40 CFR part 1039 or part 1048, and identify your
projected U.S.-directed production volume.
* * * * *
0
32. Amend Sec. 1036.615 by revising paragraph (a) to read as follows:
Sec. 1036.615 Engines with Rankine cycle waste heat recovery and
hybrid powertrains.
* * * * *
(a) Pre-transmission hybrid powertrains. Test pre-transmission
hybrid powertrains with the hybrid engine procedures of 40 CFR part
1065 or with the post-transmission procedures in Sec. 1036.545. Pre-
transmission hybrid powertrains are those engine systems that include
features to recover and store energy during engine motoring operation
but not from the vehicle's wheels. Engines certified with pre-
transmission hybrid powertrains must be certified to meet the
diagnostic requirements as specified in Sec. 1036.110 with respect to
powertrain components and systems; if different manufacturers produce
the engine and the hybrid powertrain, the hybrid powertrain
manufacturer may separately certify its powertrain relative to
diagnostic requirements.
* * * * *
0
33. Amend Sec. 1036.630 by revising paragraph (b) to read as follows:
Sec. 1036.630 Certification of engine greenhouse gas emissions for
powertrain testing.
* * * * *
(b) If you choose to certify only fuel map emissions for an engine
family and to not certify emissions over powertrain cycles under Sec.
1036.545, we will not presume you are responsible for emissions over
the powertrain cycles. However, where we determine that you are
responsible in whole or in part for the emission exceedance in such
cases, we may require that you participate in any recall of the
affected vehicles. Note that this provision to limit your
responsibility does not apply if you also hold the certificate of
conformity for the vehicle.
* * * * *
0
34. Amend Sec. 1036.705 by revising paragraph (c) introductory text,
redesignating paragraph (c)(4) as paragraph (c)(5), and adding a new
paragraph (c)(4) to read as follows:
Sec. 1036.705 Generating and calculating emission credits.
* * * * *
(c) Compliance with the requirements of this subpart is determined
at the end of the model year by calculating emission credits based on
actual production volumes, excluding the following engines:
* * * * *
(4) Engines certified to state emission standards that are
different than the emission standards in this part.
* * * * *
0
35. Amend Sec. 1036.725 by revising paragraph (b)(2) to read as
follows:
Sec. 1036.725 Required information for certification.
* * * * *
(b) * * *
(2) Calculations of projected emission credits (positive or
negative) based on projected production volumes as described in Sec.
1036.705(c). We may require you to include similar calculations from
your other engine families to project your net credit balances for the
model year. If you project negative emission credits for a family,
state the source of positive emission credits you expect to use to
offset the negative emission credits.
0
36. Amend Sec. 1036.730 by revising paragraphs (b)(4) and (f)(1) to
read as follows:
Sec. 1036.730 ABT reports.
* * * * *
(b) * * *
(4) The projected and actual production volumes for calculating
emission credits for the model year. If you changed an FEL/FCL during
the model year, identify the actual production volume associated with
each FEL/FCL.
* * * * *
(f) * * *
(1) If you notify us by the deadline for submitting the final
report that errors mistakenly decreased your balance of emission
credits, you may correct the errors and recalculate the balance of
emission credits. If you notify us that errors mistakenly decreased
your balance of emission credits after the deadline for submitting the
final report, you may correct the errors and recalculate the balance of
emission credits after applying a 10 percent discount to the credit
correction, but only if you notify us within 24 months after the
deadline for submitting the final report. If you report a negative
balance of emission credits, we may disallow corrections under this
paragraph (f)(1).
* * * * *
0
37. Amend Sec. 1036.735 by revising paragraph (d) to read as follows:
Sec. 1036.735 Recordkeeping.
* * * * *
(d) Keep appropriate records to document production volumes of
engines that generate or use emission credits under the ABT program.
For example, keep available records of the engine identification number
(usually the serial number) for each engine you produce that generates
or uses emission credits. You may identify these numbers as a range. If
you change the FEL/FCL after the start of production, identify the date
you started using each FEL/FCL and the range of engine identification
numbers associated with each FEL/FCL. You must also identify the
purchaser and destination for each engine you produce to the extent
this information is available.
* * * * *
0
38. Amend Sec. 1036.801 by:
[[Page 26121]]
0
a. Adding a definition of ``Carbon-containing fuel'' in alphabetical
order.
0
b. Removing the definitions of ``Criteria pollutants'' and ``Greenhouse
gas''.
0
c. Revising the definition of ``Hybrid''.
0
d. Removing the definitions of ``Hybrid engine'' and ``Hybrid
powertrain''.
0
e. Revising the definition of ``Mild hybrid''.
0
f. Adding a definition of ``Neat'' in alphabetical order.
0
g. Revising the definitions of ``Small manufacturer'' and ``U.S.-
directed production volume''.
The additions and revisions read as follows:
Sec. 1036.801 Definitions.
* * * * *
Carbon-containing fuel has the meaning given in 40 CFR 1065.1001.
* * * * *
Hybrid means relating to an engine or powertrain that includes a
Rechargeable Energy Storage System. Hybrid engines store and recover
energy in a way that is integral to the engine or otherwise upstream of
the vehicle's transmission. Examples of hybrid engines include engines
with hybrid components connected to the front end of the engine (P0),
at the crankshaft before the clutch (P1), or connected between the
clutch and the transmission where the clutch upstream of the hybrid
feature is in addition to the transmission clutch(s) (P2). Engine-based
systems that recover kinetic energy to power an electric heater in the
aftertreatment are themselves not sufficient to qualify as a hybrid
engine. Provisions that apply for hybrid powertrains apply equally for
hybrid engines, except as specified. Note that certain provisions in
this part treat hybrid powertrains intended for vehicles that include
regenerative braking different than those intended for vehicles that do
not include regenerative braking. The definition of hybrid includes
plug-in hybrid electric powertrains.
* * * * *
Mild hybrid means relating to a hybrid engine or hybrid powertrain
with regenerative braking capability where the system recovers less
than 20 percent of the total braking energy over the transient cycle
defined in appendix A of 40 CFR part 1037.
* * * * *
Neat has the meaning given in Sec. 1065.1001.
* * * * *
Small manufacturer means a manufacturer meeting the criteria
specified in 13 CFR 121.201. The employee and revenue limits apply to
the total number of employees and total revenue together for all
affiliated companies (as defined in 40 CFR 1068.30). Note that
manufacturers with low production volumes may or may not be ``small
manufacturers''.
* * * * *
U.S.-directed production volume means the number of engines,
subject to the requirements of this part, produced by a manufacturer
for which the manufacturer has a reasonable assurance that sale was or
will be made to ultimate purchasers in the United States. Note that
this includes engines certified to state emission standards that are
different than the emission standards in this part.
* * * * *
0
39. Amend Sec. 1036.805 by adding an entry for ``GCWR'' to Table 5 in
alphabetical order to read as follows:
Sec. 1036.805 Symbols, abbreviations, and acronyms.
* * * * *
(e) * * *
Table 5 to Paragraph (e) of Sec. 1036.805--Other Acronyms and
Abbreviations
------------------------------------------------------------------------
Acronym Meaning
------------------------------------------------------------------------
* * * * *
GCWR...................................... gross combined weight
rating.
* * * * *
------------------------------------------------------------------------
* * * * *
0
40. Amend Sec. 1036.810 by adding paragraph (e) to read as follows:
Sec. 1036.810 Incorporation by reference.
* * * * *
(e) U.S. EPA, Office of Air and Radiation, 2565 Plymouth Road, Ann
Arbor, MI 48105; www.epa.gov; [email protected].
(1) Greenhouse gas Emissions Model (GEM) Phase 2, Version 4.0,
April 2022 (``GEM Phase 2, Version 4.0''); IBR approved for Sec.
1036.545(a).
(2) [Reserved]
0
41. Amend Sec. 1036.815 by revising paragraph (b) to read as follows:
Sec. 1036.815 Confidential information.
* * * * *
(b) Emission data or information that is publicly available cannot
be treated as confidential business information as described in 40 CFR
1068.11. Data that vehicle manufacturers need for demonstrating
compliance with greenhouse gas emission standards, including fuel-
consumption data as described in Sec. Sec. 1036.535 and 1036.545, also
qualify as emission data for purposes of confidentiality
determinations.
PART 1037--CONTROL OF EMISSIONS FROM NEW HEAVY-DUTY MOTOR VEHICLES
0
42. The authority citation for part 1037 continues to read as follows:
Authority: 42 U.S.C. 7401-7671q.
0
43. Amend Sec. 1037.1 by revising paragraph (a) to read as follows:
Sec. 1037.1 Applicability.
(a) The regulations in this part 1037 apply for all new heavy-duty
vehicles, except as provided in Sec. 1037.5. This includes battery
electric vehicles, fuel cell electric vehicles, and vehicles fueled by
conventional and alternative fuels.
* * * * *
0
44. Amend Sec. 1037.5 by:
0
a. Revising paragraph (e).
0
b. Removing paragraphs (g) and (h).
0
c. Redesignating paragraph (i) as paragraph (g).
The revision reads as follows:
Sec. 1037.5 Excluded vehicles.
* * * * *
(e) Vehicles subject to the heavy-duty emission standards of 40 CFR
part 86. See 40 CFR part 86, subpart S, for emission standards that
apply for these vehicles.
* * * * *
0
45. Amend Sec. 1037.101 by revising paragraphs (a)(2) and (b)(2) and
(3) to read as follows:
Sec. 1037.101 Overview of emission standards.
* * * * *
(a) * * *
(2) Exhaust emissions of greenhouse gases. Emission standards apply
as follows for greenhouse gas emissions:
(i) CO2 emission standards apply as described in
Sec. Sec. 1037.105 and 1037.106. No CH4 or N2O
standards apply under this part. See 40 CFR part 1036 for
CH4 or N2O standards that apply to engines used
in these vehicles.
(ii) Hydrofluorocarbon standards apply as described in Sec.
1037.115(e). These pollutants are also ``greenhouse gas pollutants''
but are treated separately from exhaust greenhouse gas pollutants
listed in paragraph (a)(2)(i) of this section.
* * * * *
(b) * * *
(2) For greenhouse gas pollutants, vehicles are regulated in the
following groups:
[[Page 26122]]
(i) Tractors above 26,000 pounds GVWR.
(ii) Vocational vehicles.
(3) The greenhouse gas emission standards apply differently
depending on the vehicle service class as described in Sec. 1037.140.
In addition, standards apply differently for vehicles with spark-
ignition and compression-ignition engines. References in this part 1037
to ``spark-ignition'' or ``compression-ignition'' generally relate to
the application of standards under 40 CFR 1036.140. For example, a
vehicle with an engine certified to spark-ignition standards under 40
CFR part 1036 is generally subject to requirements under this part 1037
that apply for spark-ignition vehicles. However, note that emission
standards for Heavy HDE are considered to be compression-ignition
standards for purposes of applying vehicle emission standards under
this part. Also, for spark-ignition engines voluntarily certified as
compression-ignition engines under 40 CFR part 1036, you must choose at
certification whether your vehicles are subject to spark-ignition
standards or compression-ignition standards. Heavy-duty vehicles with
no installed propulsion engine, such as battery electric vehicles, are
subject to compression-ignition emission standards for the purpose of
calculating emission credits.
* * * * *
0
46. Amend Sec. 1037.102 by revising the section heading and paragraph
(b) introductory text to read as follows:
Sec. 1037.102 Criteria exhaust emission standards--NOX, HC, PM, and
CO.
* * * * *
(b) Heavy-duty vehicles with no installed propulsion engine, such
as battery electric vehicles, are subject to criteria pollutant
standards under this part. The emission standards that apply are the
same as the standards that apply for compression-ignition engines under
40 CFR 86.007-11 and 1036.104 for a given model year.
* * * * *
0
47. Amend Sec. 1037.105 by:
0
a. Revising paragraphs (a)(1) and (2) and (b)(1) and (4)
0
b. Removing and reserving paragraph (c).
0
c. Revising paragraph (h)(1).
The revisions read as follows:
Sec. 1037.105 CO2 emission standards for vocational vehicles.
(a) * * *
(1) Heavy-duty vehicles at or below 14,000 pounds GVWR that are not
subject to the greenhouse gas standards in 40 CFR part 86, subpart S,
or that use engines certified under Sec. 1037.150(m).
(2) Vehicles above 14,000 pounds GVWR and at or below 26,000 pounds
GVWR, but not certified to the vehicle greenhouse gas standards in 40
CFR part 86, subpart S.
* * * * *
(b) * * *
(1) Model year 2027 and later vehicles are subject to
CO2 standards corresponding to the selected subcategories as
shown in the following table:
Table 1 of Paragraph (b)(1) of Sec. 1037.105--Phase 3 CO2 Standards for Model Year 2027 and Later Vocational Vehicles
[g/ton-mile]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Compression-ignition engine Spark-ignition engine
Model year Subcategory -------------------------------------------------------------------------------
Light HDV Medium HDV Heavy HDV Light HDV Medium HDV
--------------------------------------------------------------------------------------------------------------------------------------------------------
2027...................................... Urban....................... 294 213 232 340 252
Multi-Purpose............... 257 190 193 299 223
Regional.................... 218 173 152 246 202
2028...................................... Urban....................... 275 209 228 321 248
Multi-Purpose............... 238 186 189 280 219
Regional.................... 199 169 148 227 198
2029...................................... Urban....................... 255 202 225 301 241
Multi-Purpose............... 218 179 186 260 212
Regional.................... 179 162 145 207 191
2030...................................... Urban....................... 238 195 200 284 234
Multi-Purpose............... 201 172 161 243 205
Regional.................... 162 155 120 190 184
2031...................................... Urban....................... 219 188 193 265 227
Multi-Purpose............... 182 165 154 224 198
Regional.................... 143 148 113 171 177
2032 and later............................ Urban....................... 179 176 177 225 215
Multi-Purpose............... 142 153 138 184 186
Regional.................... 103 136 97 131 165
--------------------------------------------------------------------------------------------------------------------------------------------------------
* * * * *
(4) Model year 2014 through 2020 vehicles are subject to Phase 1
CO2 standards as shown in the following table:
Table 4 of Paragraph (b)(4) Sec. 1037.105--Phase 1 CO2 Standards for Model Year 2014 Through 2020 Vocational Vehicles
[g/ton-mile]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Vehicle size CO2 standard for model years 2014-2016 CO2 standard for model year 2017-2020
--------------------------------------------------------------------------------------------------------------------------------------------------------
Light HDV........................... 388 373
Medium HDV.......................... 234 225
Heavy HDV........................... 226 222
--------------------------------------------------------------------------------------------------------------------------------------------------------
[[Page 26123]]
* * * * *
(h) * * *
(1) The following alternative emission standards apply by vehicle
type and model year as follows:
Table 5 of Paragraph (h)(1) of Sec. 1037.105--Optional Phase 3 CO2 Standards for Model Year 2027 and Later Custom Chassis Vocational Vehicles
[g/ton-mile]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Model year Model year Model year Model year Model year Model year
Optional custom chassis vehicle type 2027 2028 2029 2030 2031 2032 and later
--------------------------------------------------------------------------------------------------------------------------------------------------------
School Bus.............................................. 190 182 176 168 163 149
Other Bus............................................... 286 269 255 237 220 189
Coach Bus............................................... 205 205 205 185 164 154
Refuse Hauler........................................... 253 241 232 221 212 191
Concrete Mixer.......................................... 259 250 240 231 224 205
Motor home.............................................. 226 226 226 226 226 226
Mixed-use vehicle....................................... 316 316 316 316 316 316
Emergency vehicle....................................... 319 319 319 319 319 319
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table 6 of Paragraph (h)(1) of Sec. 1037.105--Phase 2 Custom Chassis
Standards for Model Years 2021 Through 2026
[g/ton-mile]
------------------------------------------------------------------------
Assigned vehicle Model year
Vehicle type \a\ service class 2021-2026
------------------------------------------------------------------------
School bus........................ Medium HDV.......... 291
Motor home........................ Medium HDV.......... 228
Coach bus......................... Heavy HDV........... 210
Other bus......................... Heavy HDV........... 300
Refuse hauler..................... Heavy HDV........... 313
Concrete mixer.................... Heavy HDV........... 319
Mixed-use vehicle................. Heavy HDV........... 319
Emergency vehicle................. Heavy HDV........... 324
------------------------------------------------------------------------
\a\ Vehicle types are generally defined in Sec. 1037.801. ``Other
bus'' includes any bus that is not a school bus or a coach bus. A
``mixed-use vehicle'' is one that meets at least one of the criteria
specified in Sec. 1037.631(a)(1) or (2).
* * * * *
0
48. Amend Sec. 1037.106 by revising the section heading and paragraph
(b), removing and reserving paragraph (c), and revising paragraphs
(f)(2) introductory text and (f)(2)(i) to read as follows:
Sec. 1037.106 CO2 emission standards for tractors above
26,000 pounds GVWR.
* * * * *
(b) CO2 standards in this paragraph (b) apply based on
modeling and testing as described in subpart F of this part. The
provisions of Sec. 1037.241 specify how to comply with these
standards.
(1) Model year 2027 and later tractors are subject to
CO2 standards corresponding to the selected subcategories as
shown in the following tables:
Table 1 of Paragraph (b)(1) of Sec. 1037.106--CO2 Emission Standards for Model Year 2027 and Later Tractors
[g/ton-mile]
----------------------------------------------------------------------------------------------------------------
Class 7 all Class 8 day Class 8
Model year Roof height cab styles cab sleeper cab Heavy-haul
----------------------------------------------------------------------------------------------------------------
2027........................ Low............... 86.6 66.1 64.1 48.3
Mid............... 93.1 70.2 69.6
High.............. 90.0 68.1 64.3
2028........................ Low............... 84.7 64.6 64.1 48.3
Mid............... 91.0 68.6 69.6
High.............. 88.0 66.6 64.3
2029........................ Low............... 81.8 62.4 64.1 48.3
Mid............... 87.9 66.3 69.6
High.............. 85.0 64.3 64.3
2030........................ Low............... 77.0 58.7 57.7 43.0
Mid............... 82.7 62.4 62.6
High.............. 80.0 60.6 57.9
2031........................ Low............... 67.3 51.4 51.3 42.5
Mid............... 72.4 54.6 55.7
High.............. 70.0 53.0 51.4
2032 and later.............. Low............... 63.5 48.4 48.1 41.1
Mid............... 68.2 51.5 52.2
[[Page 26124]]
High.............. 66.0 50.0 48.2
----------------------------------------------------------------------------------------------------------------
(2) Model year 2026 and earlier tractors are subject to
CO2 standards corresponding to the selected subcategory as
shown in the following table:
Table 2 of Paragraph (b)(2) of Sec. 1037.106--CO2 Standards for Model Year 2026 and Earlier Tractors
[g/ton-mile]
----------------------------------------------------------------------------------------------------------------
Phase 1 Phase 1 Phase 2 Phase 2
standards for standards for standards for standards for
Subcategory \a\ model years model years model years model years
2014-2016 2017-2020 2021-2023 2024-2026
----------------------------------------------------------------------------------------------------------------
Class 7 Low-Roof (all cab styles)............... 107 104 105.5 99.8
Class 7 Mid-Roof (all cab styles)............... 119 115 113.2 107.1
Class 7 High-Roof (all cab styles).............. 124 120 113.5 106.6
Class 8 Low-Roof Day Cab........................ 81 80 80.5 76.2
Class 8 Low-Roof Sleeper Cab.................... 68 66 72.3 68.0
Class 8 Mid-Roof Day Cab........................ 88 86 85.4 80.9
Class 8 Mid-Roof Sleeper Cab.................... 76 73 78.0 73.5
Class 8 High-Roof Day Cab....................... 92 89 85.6 80.4
Class 8 High-Roof Sleeper Cab................... 75 72 75.7 70.7
Heavy-Haul Tractors............................. .............. .............. 52.4 50.2
----------------------------------------------------------------------------------------------------------------
* * * * *
(f) * * *
(2) You may optionally certify Class 7 tractors not covered by
paragraph (f)(1) of this section to the standards and useful life for
Class 8 tractors. This paragraph (f)(2) applies equally for hybrid
vehicles, battery electric vehicles, and fuel cell electric vehicles.
Credit provisions apply as follows:
(i) If you certify all your Class 7 tractors to Class 8 standards,
you may use these Heavy HDV credits without restriction.
* * * * *
Sec. 1037.107 [Removed]
0
49. Remove Sec. 1037.107.
0
50. Amend Sec. 1037.115 by revising paragraphs (a) and (e)(1) and
adding paragraph (f) to read as follows:
Sec. 1037.115 Other requirements.
* * * * *
(a) Adjustable parameters. Vehicles that have adjustable parameters
must meet all the requirements of this part for any adjustment in the
practically adjustable range. We may require that you set adjustable
parameters to any specification within the practically adjustable range
during any testing. See 40 CFR 1068.50 for general provisions related
to adjustable parameters. You must ensure safe vehicle operation
throughout the practically adjustable range of each adjustable
parameter, including consideration of production tolerances. Note that
adjustable roof fairings are deemed not to be adjustable parameters.
* * * * *
(e) * * *
(1) This paragraph (e) is intended to address air conditioning
systems for which the primary purpose is to cool the driver
compartment. This would generally include all cab-complete pickups and
vans. Similarly, it does not apply for self-contained air conditioning
used to cool passengers or refrigeration units used to cool cargo on
vocational vehicles. For purposes of this paragraph (e), a self-
contained system is an enclosed unit with its own evaporator and
condenser even if it draws power from the engine.
* * * * *
(f) Battery durability monitor. Battery electric vehicles and plug-
in hybrid electric vehicles must meet monitoring requirements related
to batteries serving as a Rechargeable Energy Storage System from GTR
No. 22 (incorporated by reference, see Sec. 1037.810). The
requirements of this section apply starting in model year 2030. The
following clarifications and adjustments to GTR No. 22 apply for
vehicles subject to this section:
(1) Install a customer-accessible display that monitors, estimates,
and communicates the vehicle's State of Certified Energy (SOCE) include
information in the application for certification as described in Sec.
1037.205. Monitoring requirements related to State of Certified Range
(SOCR) do not apply.
(2) Accuracy requirements for SOCE in GTR No. 22 do not apply.
Minimum Performance Requirements for battery durability also do not
apply.
(3) For battery electric vehicles, use good engineering judgment to
develop a test procedure for determining useable battery energy (UBE).
(4) For plug-hybrid electric vehicles, determine UBE as described
in 40 CFR 1036.545.
0
51. Amend Sec. 1037.120 by:
0
a. Revising paragraph (b)(1)(iii).
0
b. Removing paragraph (b)(1)(iv).
0
c. Revising paragraph (c).
The revisions read as follows:
Sec. 1037.120 Emission-related warranty requirements.
* * * * *
(b) * * *
(1) * * *
(iii) 2 years or 24,000 miles for tires.
* * * * *
(c) Components covered. The emission-related warranty covers tires,
automatic tire inflation systems, tire pressure monitoring systems,
vehicle
[[Page 26125]]
speed limiters, idle-reduction systems, devices added to the vehicle to
improve aerodynamic performance (not including standard components such
as hoods or mirrors even if they have been optimized for aerodynamics),
fuel cell stacks, and RESS and other components used with hybrid
systems, battery electric vehicles, and fuel cell electric vehicles to
the extent such emission-related components are included in your
application for certification. The emission-related warranty also
covers other added emission-related components to the extent they are
included in your application for certification, and any other
components whose failure would increase a vehicle's CO2
emissions. The emission-related warranty covers all components whose
failure would increase a vehicle's emissions of air conditioning
refrigerants (for vehicles subject to air conditioning leakage
standards), and it covers all components whose failure would increase a
vehicle's evaporative and refueling emissions (for vehicles subject to
evaporative and refueling emission standards). The emission-related
warranty covers components that are part of your certified
configuration even if another company produces the component.
* * * * *
0
52. Amend Sec. 1037.130 by revising paragraph (a) to read as follows:
Sec. 1037.130 Assembly instructions for secondary vehicle
manufacturers.
(a) If you sell a certified incomplete vehicle to a secondary
vehicle manufacturer, give the secondary vehicle manufacturer
instructions for completing vehicle assembly consistent with the
requirements of this part. Include all information necessary to ensure
that the final vehicle assembly (including the engine) will be in its
certified configuration.
* * * * *
0
53. Amend Sec. 1037.140 by revising paragraph (g)(5) introductory text
to read as follows:
Sec. 1037.140 Classifying vehicles and determining vehicle
parameters.
* * * * *
(g) * * *
(5) Heavy-duty vehicles with no installed propulsion engine, such
as battery electric vehicles, are divided as follows:
* * * * *
0
54. Amend Sec. 1037.150 by:
0
a. Revising paragraphs (c), (f) and (p);
0
b. Removing paragraphs (u) through (x);
0
c. Redesignating paragraphs (y) through (bb) as paragraphs (u) through
(x);
0
d. Revising newly redesignated paragraph (x); and
0
e. Adding a new paragraph (y).
The revisions and addition read as follows:
Sec. 1037.150 Interim provisions.
* * * * *
(c) Small manufacturers. The following provisions apply for small
manufacturers:
(1) The following provisions apply through model year 2026:
(i) The greenhouse gas standards of Sec. Sec. 1037.105 and
1037.106 are optional for small manufacturers producing vehicles with a
date of manufacture before January 1, 2022. In addition, small
manufacturers producing vehicles that run on any fuel other than
gasoline, E85, or diesel fuel may delay complying with every later
standard under this part by one model year.
(ii) Qualifying manufacturers must notify the Designated Compliance
Officer each model year before introducing excluded vehicles into U.S.
commerce. This notification must include a description of the
manufacturer's qualification as a small business under 13 CFR 121.201.
Manufacturers must label excluded vehicles with the following
statement: ``THIS VEHICLE IS EXCLUDED UNDER 40 CFR 1037.150(c).''
(iii) Small manufacturers may meet Phase 1 standards instead of
Phase 2 standards in the first year Phase 2 standards apply to them if
they voluntarily comply with the Phase 1 standards for the full
preceding year. Specifically, small manufacturers may certify their
model year 2022 vehicles to the Phase 1 greenhouse gas standards of
Sec. Sec. 1037.105 and 1037.106 if they certify all the vehicles from
their annual production volume included in emission credit calculations
for the Phase 1 standards starting on or before January 1, 2021.
(2) The following provisions apply for model year 2027 and later
for qualifying small manufacturers:
(i) The following standards apply for vocational vehicles instead
of the standards specified in Sec. 1037.105:
Table 1 of Paragraph (c)(2)(i) of Sec. 1037.150--Small Manufacturer CO2 Standards Vocational Vehicles
[g/ton-mile]
----------------------------------------------------------------------------------------------------------------
Engine cycle Vehicle size Multi-purpose Regional Urban
----------------------------------------------------------------------------------------------------------------
Compression-ignition.................. Light HDV............... 330 291 367
Compression-ignition.................. Medium HDV.............. 235 218 258
Compression-ignition.................. Heavy HDV............... 230 189 269
Spark-ignition........................ Light HDV............... 372 319 413
Spark-ignition........................ Medium HDV.............. 268 247 297
----------------------------------------------------------------------------------------------------------------
Table 2 of Paragraph (c)(2)(i) of Sec. 1037.150--Small Manufacturer
CO2 Standards for Custom Chassis Vocational Vehicles
[g/ton-mile]
------------------------------------------------------------------------
Assigned vehicle MY 2027 and
Vehicle type \a\ service class later
------------------------------------------------------------------------
School bus........................ Medium HDV.......... 271
Motor home........................ Medium HDV.......... 226
Coach bus......................... Heavy HDV........... 205
Other bus......................... Heavy HDV........... 286
Refuse hauler..................... Heavy HDV........... 298
Concrete mixer.................... Heavy HDV........... 316
Mixed-use vehicle................. Heavy HDV........... 316
[[Page 26126]]
Emergency vehicle................. Heavy HDV........... 319
------------------------------------------------------------------------
\a\ Vehicle types are generally defined in Sec. 1037.801. ``Other
bus'' includes any bus that is not a school bus or a coach bus. A
``mixed-use vehicle'' is one that meets at least one of the criteria
specified in Sec. 1037.631(a)(1) or (2).
(ii) The following standards apply for tractors instead of the
standards specified in Sec. 1037.106:
Table 3 of Paragraph (c)(2)(ii) of Sec. 1037.150--Small manufacturer
CO2 Standards for Class 7 and Class 8 Tractors by Subcategory
[g/ton-mile]
------------------------------------------------------------------------
Phase 2
standards for
Subcategory\a\ model year
2027 and later
------------------------------------------------------------------------
Class 7 Low-Roof (all cab styles)....................... 96.2
Class 7 Mid-Roof (all cab styles)....................... 103.4
Class 7 High-Roof (all cab styles)...................... 100.0
Class 8 Low-Roof Day Cab................................ 73.4
Class 8 Low-Roof Sleeper Cab............................ 64.1
Class 8 Mid-Roof Day Cab................................ 78.0
Class 8 Mid-Roof Sleeper Cab............................ 69.6
Class 8 High-Roof Day Cab............................... 75.7
Class 8 High-Roof Sleeper Cab........................... 64.3
Heavy-Haul Tractors..................................... 48.3
------------------------------------------------------------------------
\a\ Subcategory terms are defined in Sec. 1037.801.
(iii) Small manufacturers producing vehicles that run on any fuel
other than gasoline, E85, or diesel fuel may delay complying with the
model year 2027 standards under this paragraph (c) by one model year.
(iv) Label qualifying vehicles with the following statement: ``THIS
VEHICLE MEETS PHASE 2 STANDARDS AS ALLOWED UNDER 40 CFR 1037.150(c).''
(v) Small manufacturers may bank emission credits only by
certifying all their vehicle families within a given averaging set to
the Phase 3 standards that apply for the current model year.
(vi) The battery durability monitor requirements of Sec.
1037.115(f) apply for vehicles subject to standards under this
paragraph (c).
(3) See paragraphs (r), (t), (u), and (w) of this section for
additional allowances for small manufacturers.
* * * * *
(f) Testing exemption for qualifying vehicles. Tailpipe
CO2 emissions from battery electric vehicles, fuel cell
electric vehicles, and vehicles with engines fueled with neat hydrogen
are deemed to be zero. No CO2-related testing is required
under this part for these vehicles.
* * * * *
(p) Credit multiplier for advanced technology. You may calculate
credits you generate from vehicles certified with advanced technology
as follows:
(1) For Phase 1 vehicles, multiply the credits by 1.50, except that
you may not apply this multiplier in addition to the early-credit
multiplier of paragraph (a) of this section.
(2) For model year 2026 and earlier, apply multipliers of 3.5 for
plug-in hybrid electric vehicles, 4.5 for battery electric vehicles,
and 5.5 for fuel cell electric vehicles; calculate credits relative to
the Phase 2 standard. In model year 2027, the advanced technology
multiplier applies only for fuel cell electric vehicles, with credits
multiplied relative to the Phase 3 standard.
* * * * *
(x) Transition to updated GEM. (1) Vehicle manufacturers may
demonstrate compliance with Phase 2 greenhouse gas standards in model
years 2021 through 2023 using GEM Phase 2, Version 3.0, Version 3.5.1,
or Version 4.0 (all incorporated by reference, see Sec. 1037.810).
Manufacturers may change to a different version of GEM for model years
2022 and 2023 for a given vehicle family after initially submitting an
application for certification; such a change must be documented as an
amendment under Sec. 1037.225. Manufacturers may submit an end-of-year
report for model year 2021 using any of the three regulatory versions
of GEM, but only for demonstrating compliance with the custom-chassis
standards in Sec. 1037.105(h); such a change must be documented in the
report submitted under Sec. 1037.730. Once a manufacturer certifies a
vehicle family based on GEM Version 4.0, it may not revert back to
using GEM Phase 2, Version 3.0 or Version 3.5.1 for that vehicle family
in any model year.
(2) Vehicle manufacturers may certify for model years 2021 through
2023 based on fuel maps from engines or powertrains that were created
using GEM Phase 2, Version 3.0, Version 3.5.1, or Version 4.0 (all
incorporated by reference, see Sec. 1037.810). Vehicle manufacturers
may alternatively certify in those years based on fuel maps from
powertrains that were created using GEM Phase 2, Version 3.0, GEM HIL
model 3.8, or GEM Phase 2, Version 4.0 (all incorporated by reference,
see
[[Page 26127]]
Sec. 1037.810). Vehicle manufacturers may continue to certify vehicles
in later model years using fuel maps generated with earlier versions of
GEM for model year 2024 and later vehicle families that qualify for
using carryover provisions in Sec. 1037.235(d).
(y) Correcting credit calculations. If you notify us by October 1,
2024 that errors mistakenly decreased your balance of emission credits
for 2020 or any earlier model years, you may correct the errors and
recalculate the balance of emission credits after applying a 10 percent
discount to the credit correction.
0
55. Amend Sec. 1037.205 by revising the introductory text, paragraphs
(b) introductory text, (b)(6), (e), (o), and (q) to read as follows:
Sec. 1037.205 What must I include in my application?
This section specifies the information that must be in your
application, unless we ask you to include less information under Sec.
1037.201(c). We may require you to provide additional information to
evaluate your application. References to testing and emission-data
vehicles refer to testing vehicles or components to measure any
quantity that serves as an input value for modeling emission rates
under Sec. 1037.520.
* * * * *
(b) Explain how the emission control system operates. As
applicable, describe in detail all system components for controlling
greenhouse gas emissions, including all auxiliary emission control
devices (AECDs) and all fuel-system components you will install on any
production vehicle. Identify the part number of each component you
describe. For this paragraph (b), treat as separate AECDs any devices
that modulate or activate differently from each other. Also describe
your modeling inputs as described in Sec. 1037.520, with the following
additional information if it applies for your vehicles:
* * * * *
(6) If you perform powertrain testing under 40 1036.545, report
both CO2 and NOX emission levels corresponding to
each test run.
* * * * *
(e) Describe any test equipment and procedures that you used,
including any special or alternate test procedures you used (see Sec.
1037.501). Include information describing the procedures you used to
determine CdA values as specified in Sec. Sec. 1037.525 and
1037.527. Describe which type of data you are using for engine fuel
maps (see 40 CFR 1036.505).
* * * * *
(o) Report calculated and modeled emission results as for ten
configurations. Include modeling inputs and detailed descriptions of
how they were derived. Unless we specify otherwise, include the
configuration with the highest modeling result, the lowest modeling
result, and the configurations with the highest projected sales.
* * * * *
(q) For battery electric vehicles and plug-in hybrid electric
vehicles, describe the recharging procedures and methods for
determining battery performance, such as state of charge and charging
capacity. Also include the certified usable battery energy for each
battery durability subfamily.
* * * * *
Sec. 1037.230 [Amended]
0
56. Amend Sec. 1037.230 by removing paragraphs (a)(3) and (d)(3).
0
57. Amend Sec. 1037.231 by revising paragraph (a) to read as follows:
Sec. 1037.231 Powertrain families.
(a) If you choose to perform powertrain testing as specified in 40
CFR 1036.545, use good engineering judgment to divide your product line
into powertrain families that are expected to have similar fuel
consumptions and CO2 emission characteristics throughout the
useful life. Your powertrain family is limited to a single model year.
* * * * *
0
58. Amend Sec. 1037.235 by revising the introductory text, paragraphs
(a) and (c)(3) and removing paragraph (g)(3) to read as follows:
Sec. 1037.235 Testing requirements for certification.
This section describes the emission testing you must perform to
show compliance with respect to the greenhouse gas emission standards
in subpart B of this part, and to determine any input values from Sec.
1037.520 that involve measured quantities.
(a) Select emission-data vehicles that represent production
vehicles and components for the vehicle family consistent with the
specifications in Sec. Sec. 1037.205(o) and 1037.520. Where the test
results will represent multiple vehicles or components with different
emission performance, use good engineering judgment to select worst-
case emission data vehicles or components. In the case of powertrain
testing under 40 CFR 1036.545, select a test engine, test hybrid
components, test axle and test transmission as applicable, by
considering the whole range of vehicle models covered by the powertrain
family and the mix of duty cycles specified in Sec. 1037.510. If the
powertrain has more than one transmission calibration, for example
economy vs. performance, you may weight the results from the powertrain
testing in 40 CFR 1036.545 by the percentage of vehicles in the family
by prior model year for each configuration. This can be done, for
example, through the use of survey data or based on the previous model
year's sales volume. Weight the results of Mfuel[cycle]
[GRAPHIC] [TIFF OMITTED] TP27AP23.069
and W[cycle] from Table 2 of 40 CFR 1036.545 according to
the percentage of vehicles in the family that use each transmission
calibration.
* * * * *
(c) * * *
(3) Before we test one of your vehicles or components, we may set
its adjustable parameters to any point within the practically
adjustable ranges, if applicable.
* * * * *
0
59. Amend Sec. 1037.241 to read as follows:
Sec. 1037.241 Demonstrating compliance with exhaust emission
standards for greenhouse gas pollutants.
(a) Compliance determinations for purposes of certification depend
on whether or not you participate in the ABT program in subpart H of
this part.
(1) If none of your vehicle families generate or use emission
credits in a given model year, each of your vehicle families is
considered in compliance with the CO2 emission standards in
Sec. Sec. 1037.105 and 1037.106 if all vehicle configurations in the
family have calculated or modeled CO2 emission rates from
Sec. 1037.520 that are at or below the applicable standards. A vehicle
family is deemed not to comply if any vehicle configuration in the
family has a calculated or modeled CO2 emission rate that is
above the applicable standard.
(2) If you generate or use emission credits with one or more
vehicle families in a given model year, your vehicle families within an
averaging set are considered in compliance with the CO2
emission standards in Sec. Sec. 1037.105 and 1037.106 if the sum of
positive and negative credits for all vehicle configurations in those
vehicle families lead to a zero balance or a positive balance of
credits, except as allowed bySec. 1037.745. Note that the FEL is
considered to be the applicable emission standard for an individual
configuration.
[[Page 26128]]
(b) We may require you to provide an engineering analysis showing
that the performance of your emission controls will not deteriorate
during the useful life with proper maintenance. If we determine that
your emission controls are likely to deteriorate during the useful
life, we may require you to develop and apply deterioration factors
consistent with good engineering judgment. For example, you may need to
apply a deterioration factor to address deterioration of battery
performance for a hybrid vehicle. Where the highest useful life
emissions occur between the end of useful life and at the low-hour test
point, base deterioration factors for the vehicles on the difference
between (or ratio of) the point at which the highest emissions occur
and the low-hour test point.
Sec. 1037.310 [Removed]
0
60. Remove Sec. 1037.310.
0
61. Amend Sec. 1037.315 by revising paragraph (a) to read as follows:
Sec. 1037.315 Audit procedures related to powertrain testing.
(a) For vehicles certified based on powertrain testing as specified
in 40 CFR 1036.545, we may apply the selective enforcement audit
requirements to the powertrain. If engine manufacturers perform the
powertrain testing and include those results in their certification
under 40 CFR part 1036, they are responsible for selective enforcement
audits related to those results. Otherwise, the certificate holder for
the vehicle is responsible for the selective enforcement audit.
* * * * *
0
62. Amend Sec. 1037.401 by revising paragraph (b) to read as follows:
Sec. 1037.401 General provisions.
* * * * *
(b) We may measure the drag area of a vehicle you produced after it
has been placed into service. We may use any of the procedures as
specified in Sec. Sec. 1037.525 and 1037.527 for measuring drag area.
Your vehicle conforms to the regulations of this part with respect to
aerodynamic performance if we measure its drag area to be at or below
the maximum drag area allowed for the bin to which that configuration
was certified.
0
63. Amend Sec. 1037.501 by revising paragraphs (a) and (h) and
removing paragraph (i) to read as follows:
Sec. 1037.501 General testing and modeling provisions.
* * * * *
(a) Except as specified in subpart B of this part, you must
demonstrate that you meet emission standards using emission modeling as
described in Sec. 1037.520. This modeling depends on several measured
values as described in this subpart F. You may use fuel-mapping
information from the engine manufacturer as described in 40 CFR
1036.535 and 1036.540, or you may use powertrain testing as described
in 40 CFR 1036.545.
* * * * *
(h) Note that declared GEM inputs for fuel maps and aerodynamic
drag area typically includes compliance margins to account for testing
variability; for other measured GEM inputs, the declared values are
typically the measured values without adjustment.
0
64. Amend Sec. 1037.510 by:
0
a. Revising paragraphs (a) introductory text, (a)(2) introductory text,
and (a)(2)(iii) and (iv);
0
b. In paragraph (b) in Equation 1037.510-1, in the Where entries for
vmoving and w[cycle], removing the text ``table 1
to this section'' and adding, in its place, the text ``table 1 of this
section''; and
0
c. Revising paragraphs (c)(3) and (d).
The revisions read as follows:
Sec. 1037.510 Duty-cycle exhaust testing.
* * * * *
(a) Measure emissions by testing the powertrain on a powertrain
dynamometer with the applicable duty cycles. Each duty cycle consists
of a series of speed commands over time--variable speeds for the
transient test and constant speeds for the highway cruise tests. None
of these cycles include vehicle starting or warmup.
* * * * *
(2) Perform cycle-average engine fuel mapping as described in 40
CFR 1036.540. For powertrain testing under 40 CFR 1036.545 or Sec.
1037.555, perform testing as described in this paragraph (a)(2) to
generate GEM inputs for each simulated vehicle configuration, and test
runs representing different idle conditions. Perform testing as
follows:
* * * * *
(iii) Drive idle. Perform testing at a loaded idle condition for
Phase 2 vocational vehicles. For engines with an adjustable warm idle
speed setpoint, test at the minimum warm idle speed and the maximum
warm idle speed; otherwise simply test at the engine's warm idle speed.
Warm up the powertrain as described in 40 CFR 1036.520(d). Within 60
seconds after concluding the warm-up, linearly ramp the powertrain down
to zero vehicle speed over 20 seconds. Apply the brake and keep the
transmission in drive (or clutch depressed for manual transmission).
Stabilize the powertrain for (601) seconds and then sample
emissions for (301) seconds.
(iv) Parked idle. Perform testing at a no-load idle condition for
Phase 2 vocational vehicles. For engines with an adjustable warm idle
speed setpoint, test at the minimum warm idle speed and the maximum
warm idle speed; otherwise simply test at the engine's warm idle speed.
Warm up the powertrain as described in 40 CFR 1036.520(d). Within 60
seconds after concluding the warm-up, linearly ramp the powertrain down
to zero vehicle speed in 20 seconds. Put the transmission in park (or
neutral for manual transmissions and apply the parking brake if
applicable). Stabilize the powertrain for (1801) seconds
and then sample emissions for (6001) seconds.
* * * * *
(c) * * *
(3) Table 1 follows:
Table 1 of Paragraph (c)(3) of Sec. 1037.510--Weighting Factors for Duty Cycles
--------------------------------------------------------------------------------------------------------------------------------------------------------
Distance-weighted Time-weighted \a\
------------------------------------------------------------------------------------------------ Average speed
55 mi/hr 65 mi/hr during non-
Transient cruise cruise Drive idle Parked idle Non-idle idle cycles
(percent) (percent) (percent) (percent) (percent) (percent) (mi/hr) \b\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Day Cabs................................ 19 17 64 .............. .............. .............. ..............
Sleeper Cabs............................ 5 9 86 .............. .............. .............. ..............
Heavy-haul Tractors..................... 19 17 64 .............. .............. .............. ..............
Vocational--Regional.................... 20 24 56 0 25 75 38.41
Vocational--Multi-Purpose (2b-7)........ 54 29 17 17 25 58 23.18
Vocational--Multi-Purpose (8)........... 54 23 23 17 25 58 23.27
Vocational--Urban (2b-7)................ 92 8 0 15 25 60 16.25
Vocational--Urban (8)................... 90 10 0 15 25 60 16.51
Vocational with conventional powertrain 42 21 37 .............. .............. .............. ..............
(Phase 1 only).........................
[[Page 26129]]
Vocational Hybrid Vehicles (Phase 1 75 9 16 .............. .............. .............. ..............
only)..................................
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ Note that these drive idle and non-idle weighting factors do not reflect additional drive idle that occurs during the transient cycle. The transient
cycle does not include any parked idle.
\b\ These values apply even for vehicles not following the specified speed traces.
* * * * *
(d) For highway cruise and transient testing, compare actual
second-by-second vehicle speed with the speed specified in the test
cycle and ensure any differences are consistent with the criteria as
specified in 40 CFR 1036.545(g)(1). If the speeds do not conform to
these criteria, the test is not valid and must be repeated.
* * * * *
Sec. 1037.515 [Removed]
0
65. Remove Sec. 1037.515.
0
66. Amend Sec. 1037.520 by revising the introductory text and
paragraphs (a)(2) introductory text, (b)(3), (e)(1) and (3), (g)(4),
and (j)(1) to read as follows:
Sec. 1037.520 Modeling CO2 emissions to show compliance for
vocational vehicles and tractors.
This section describes how to use the Greenhouse gas Emissions
Model (GEM) to show compliance with the CO2 standards of
Sec. Sec. 1037.105 and 1037.106 for vocational vehicles and tractors.
Use GEM version 2.0.1 to demonstrate compliance with Phase 1 standards;
use GEM Phase 2, Version 4.0 to demonstrate compliance with Phase 2 and
Phase 3 standards (both incorporated by reference, see Sec. 1037.810).
Use good engineering judgment when demonstrating compliance using GEM.
(a) * * *
(2) For Phase 2 and Phase 3 vehicles, the GEM inputs described in
paragraphs (a)(1)(i) through (v) of this section continue to apply.
Note that the provisions in this part related to vehicle speed limiters
and automatic engine shutdown systems are available for vocational
vehicles in Phase 2 and Phase 3. The rest of this section describes
additional GEM inputs for demonstrating compliance with Phase 2 and
Phase 3 standards. Simplified versions of GEM apply for limited
circumstances as follows:
(b) * * *
(3) For Phase 2 and Phase 3 tractors other than heavy-haul
tractors, determine bin levels and CdA inputs as follows:
(i) Determine bin levels for high-roof tractors based on
aerodynamic test results as specified in Sec. 1037.525 and summarized
in the following table:
Table 3 to Paragraph (b)(3)(i) of Sec. 1037.520--Bin Determinations for Phase 2 and Phase 3 High-Roof Tractors Based on Aerodynamic Test Results
[CdA in m\2\]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Tractor type Bin I Bin II Bin III Bin IV Bin V Bin VI Bin VII
--------------------------------------------------------------------------------------------------------------------------------------------------------
Day Cabs................................ >=7.2 6.6-7.1 6.0-6.5 5.5-5.9 5.0-5.4 4.5-4.9 <=4.4
Sleeper Cabs............................ >=6.9 6.3-6.8 5.7-6.2 5.2-5.6 4.7-5.1 4.2-4.6 <=4.1
--------------------------------------------------------------------------------------------------------------------------------------------------------
(ii) For low- and mid-roof tractors, you may either use the same
bin level that applies for an equivalent high-roof tractor as shown in
Table 3 of this section, or you may determine your bin level based on
aerodynamic test results as described in Table 4 of this section.
Table 4 to Paragraph (b)(3)(ii) of Sec. 1037.520--Bin Determinations for Phase 2 and Phase 3 Low-Roof and Mid-Roof Tractors Based on Aerodynamic Test
Results
[CdA in m\2\]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Tractor type Bin I Bin II Bin III Bin IV Bin V Bin VI Bin VII
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low-Roof Cabs........................... >=5.4 4.9-5.3 4.5-4.8 4.1-4.4 3.8-4.0 3.5-3.7 <=3.4
Mid-Roof Cabs........................... >=5.9 5.5-5.8 5.1-5.4 4.7-5.0 4.4-4.6 4.1-4.3 <=4.0
--------------------------------------------------------------------------------------------------------------------------------------------------------
(iii) Determine the CdA input according to the tractor's
bin level as described in the following table:
Table 5 to Paragraph (b)(3)(iii) of Sec. 1037.520--Phase 2 and Phase 3 CdA Tractor Inputs Based on Bin Level
--------------------------------------------------------------------------------------------------------------------------------------------------------
Tractor type Bin I Bin II Bin III Bin IV Bin V Bin VI Bin VII
--------------------------------------------------------------------------------------------------------------------------------------------------------
High-Roof Day Cabs...................... 7.45 6.85 6.25 5.70 5.20 4.70 4.20
High-Roof Sleeper Cabs.................. 7.15 6.55 5.95 5.40 4.90 4.40 3.90
Low-Roof Cabs........................... 6.00 5.60 5.15 4.75 4.40 4.10 3.80
Mid-Roof Cabs........................... 7.00 6.65 6.25 5.85 5.50 5.20 4.90
--------------------------------------------------------------------------------------------------------------------------------------------------------
[[Page 26130]]
* * * * *
(e) * * *
(1) Vehicle weight reduction inputs for wheels are specified
relative to dual-wide tires with conventional steel wheels. For
purposes of this paragraph (e)(1), an aluminum alloy qualifies as
light-weight if a dual-wide drive wheel made from this material weighs
at least 21 pounds less than a comparable conventional steel wheel. The
inputs are listed in Table 6 of this section. For example, a tractor or
vocational vehicle with aluminum steer wheels and eight (4 x 2) dual-
wide aluminum drive wheels would have an input of 210 pounds (2 x 21 +
8 x 21).
Table 6 to Sec. 1037.520--Wheel-Related Weight Reductions
----------------------------------------------------------------------------------------------------------------
Weight
Weight reduction--
reduction-- Phase 2 and
Tire type Material Phase 1 Phase 3
(pounds per (pounds per
wheel) wheel)
----------------------------------------------------------------------------------------------------------------
Wide-Base Single Drive Tire with . . .\a\..... Steel Wheel..................... 84 84
Aluminum Wheel.................. 139 147
Light-Weight Aluminum Alloy 147 147
Wheel.
Steer Tire or Dual-wide Drive Tire with . . .. High-Strength Steel Wheel....... 8 8
Aluminum Wheel.................. 21 25
Light-Weight Aluminum Alloy 30 25
Wheel.
----------------------------------------------------------------------------------------------------------------
\a\ The weight reduction for wide-base tires accounts for reduced tire weight relative to dual-wide tires.
* * * * *
(3) Weight-reduction inputs for vocational-vehicle components other
than wheels are specified in the following table:
Table 8 to Sec. 1037.520--Nonwheel-Related Weight Reductions From Alternative Materials for Phase 2 and Phase
3 Vocational Vehicles
[pounds] \a\
----------------------------------------------------------------------------------------------------------------
Vehicle type
Component Material -----------------------------------------------
Light HDV Medium HDV \b\ Heavy HDV
----------------------------------------------------------------------------------------------------------------
Axle Hubs--Non-Drive.................. Aluminum................ 40 40
-----------------------------------------------
Axle Hubs--Non-Drive.................. High Strength Steel..... 5 5
-----------------------------------------------
Axle--Non-Drive....................... Aluminum................ 60 60
-----------------------------------------------
Axle--Non-Drive....................... High Strength Steel..... 15 15
-----------------------------------------------
Brake Drums--Non-Drive................ Aluminum................ 60 60
-----------------------------------------------
Brake Drums--Non-Drive................ High Strength Steel..... 42 42
-----------------------------------------------
Axle Hubs--Drive...................... Aluminum................ 40 80
-----------------------------------------------
Axle Hubs--Drive...................... High Strength Steel..... 10 20
-----------------------------------------------
Brake Drums--Drive.................... Aluminum................ 70 140
-----------------------------------------------
Brake Drums--Drive.................... High Strength Steel..... 37 74
-----------------------------------------------
Suspension Brackets, Hangers.......... Aluminum................ 67 100
-----------------------------------------------
Suspension Brackets, Hangers.......... High Strength Steel..... 20 30
-----------------------------------------------
Crossmember--Cab...................... Aluminum................ 10 15 15
Crossmember--Cab...................... High Strength Steel..... 2 5 5
Crossmember--Non-Suspension........... Aluminum................ 15 15 15
Crossmember--Non-Suspension........... High Strength Steel..... 5 5 5
Crossmember--Suspension............... Aluminum................ 15 25 25
Crossmember--Suspension............... High Strength Steel..... 6 6 6
Driveshaft............................ Aluminum................ 12 40 50
Driveshaft............................ High Strength Steel..... 5 10 12
Frame Rails........................... Aluminum................ 120 300 440
Frame Rails........................... High Strength Steel..... 40 40 87
----------------------------------------------------------------------------------------------------------------
\a\ Weight-reduction values apply per vehicle unless otherwise noted.
\b\ For Medium HDV with 6 x 4 or 6 x 2 axle configurations, use the values for Heavy HDV.
[[Page 26131]]
* * * * *
* * * * *
(g) * * *
(4) GEM inputs associated with powertrain testing include
powertrain family, transmission calibration identifier, test data from
40 CFR 1036.545, and the powertrain test configuration (dynamometer
connected to transmission output or wheel hub). You do not need to
identify or provide inputs for transmission gear ratios, fuel map data,
or engine torque curves, which would otherwise be required under
paragraph (f) of this section.
* * * * *
(j) * * *
(1) Intelligent controls. Enter 2 for tractors with predictive
cruise control. This includes any cruise control system that
incorporates satellite-based global-positioning data for controlling
operator demand. For tractors without predictive cruise control and for
all vocational vehicles, enter 1.5 if they have neutral coasting or
full cylinder deactivation when coasting, unless good engineering
judgment indicates that a lower percentage should apply.
* * * * *
0
67. Amend Sec. 1037.525 by revising paragraphs (a) introductory text,
(b)(1), (4), and (5), (c)(1) introductory text, and (c)(2) introductory
text to read as follows:
Sec. 1037.525 Aerodynamic measurements for tractors.
* * * * *
(a) General provisions. The GEM input for a tractor's aerodynamic
performance is a Cd value for Phase 1 and a CdA
value for Phase 2 and Phase 3. The input value is measured or
calculated for a tractor in a specific test configuration with a
trailer, such as a high-roof tractor with a box van meeting the
requirements for the standard trailer.
* * * * *
(b) * * *
(1) Determine the functional relationship between your alternate
method and coastdown testing. Specify this functional relationship as
Falt-aero for a given alternate drag measurement method. The
effective yaw angle, [psi]eff, is assumed to be zero degrees
for Phase 1. For Phase 2 and Phase 3, determine [Psi]eff
from coastdown test results using the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.070
Where:
CdAcoastdown([psi]eff) = the
average drag area measured during coastdown at an effective yaw
angle, [psi]eff.
CdAalt([psi]eff) = the average drag
area calculated from an alternate drag measurement method at an
effective yaw angle, [psi]eff.
* * * * *
(4) Measure the drag area using your alternate method for a Phase 2
and Phase 3 tractor used to determine Falt-aero with testing
at yaw angles of 0[deg], 1[deg], 3[deg], 4.5[deg], 6[deg], and 9[deg] (you may
include additional angles), using direction conventions described in
Figure 2 of SAE J1252 (incorporated by reference, see Sec. 1037.810).
Also, determine the drag area at the coastdown effective yaw angle,
CdAalt([psi]eff), by taking the
average drag area at [psi]eff and -[psi]eff for
your vehicle using the same alternate method.
(5) For Phase 2 and Phase 3 testing, determine separate values of
Falt-aero for at least one high-roof day cab and one high-
roof sleeper cab for model year 2021, at least two high-roof day cabs
and two high-roof sleeper cabs for model year 2024, and at least three
high-roof day cabs and three high-roof sleeper cabs for model year
2027. These test requirements are cumulative; for example, you may meet
these requirements by testing two vehicles to support model year 2021
certification and four additional vehicles to support model year 2023
certification. For any untested tractor models, apply the value of
Falt-aero from the tested tractor model that best represents
the aerodynamic characteristics of the untested tractor model,
consistent with good engineering judgment. Testing under this paragraph
(b)(5) continues to be valid for later model years until you change the
tractor model in a way that causes the test results to no longer
represent production vehicles. You must also determine unique values of
Falt-aero for low-roof and mid-roof tractors if you
determine CdA values based on low or mid-roof tractor
testing as shown in Table 4 of Sec. 1037.520. For Phase 1 testing, if
good engineering judgment allows it, you may calculate a single,
constant value of Falt-aero for your whole product line by
dividing the coastdown drag area, CdAcoastdown,
by drag area from your alternate method, CdAalt.
* * * * *
(c) * * *
(1) Apply the following method for all Phase 2 and Phase 3 testing
with an alternate method:
* * * * *
(2) Apply the following method for Phase 2 and Phase 3 coastdown
testing other than coastdown testing used to establish
Falt-aero:
* * * * *
Sec. 1037.526 [Removed]
0
68. Remove Sec. 1037.526.
0
69. Revise Sec. 1037.527 to read as follows:
Sec. 1037.527 Aerodynamic measurements for vocational vehicles.
This section describes a methodology for determining vocational
vehicle aerodynamic input values for as described in Sec. 1037.520.
This measurement is optional. A vocational vehicle's aerodynamic
performance is based on a [Delta]CdA value relative to a
baseline vehicle. Determine a [Delta]CdA value by performing
A to B testing as follows:
(a) Determine a baseline CdA value for a vehicle
representing a production configuration without the aerodynamic
improvement. Repeat this testing and measure CdA for a
vehicle with the improved aerodynamic design.
(b) Use good engineering judgment to perform paired tests that
accurately demonstrate the reduction in aerodynamic drag associated
with the improved design.
(c) Measure CdA in m2 to two decimal places.
Calculate [Delta]CdA by subtracting the drag area for the
test vehicle from the drag area for the baseline vehicle.
0
70. Amend Sec. 1037.528 by:
0
a. Revising the introductory text, paragraphs (b) introductory text and
(h)(5)(iv);
0
b. Removing paragraph (h)(7);
0
c. Redesignating paragraphs (h)(8) through (12) as paragraphs (h)(7)
through (11); and
0
d. Revising newly redesignated paragraph (h)(10).
The revisions read as follows:
Sec. 1037.528 Coastdown procedures for calculating drag area
(CdA).
The coastdown procedures in this section describe how to calculate
drag area, CdA, for Phase 2 and Phase 3 tractors and
vocational vehicles, subject to the provisions of Sec. Sec. 1037.525
and 1037.527. These procedures are considered the reference method for
tractors. Follow the provisions of Sections 1 through 9 of SAE J2263
(incorporated by reference, see Sec. 1037.810), with the
clarifications and exceptions described in this section. Several of
these exceptions are from SAE J1263 (incorporated by reference, see
Sec. 1037.810). The coastdown procedures in 40 CFR 1066.310 apply
instead of the provisions of this section for Phase 1 tractors.
* * * * *
(b) To determine CdA values for a tractor, perform
coastdown testing with a tractor-trailer combination using the
manufacturer's tractor and a standard
[[Page 26132]]
trailer. Prepare the vehicles for testing as follows:
* * * * *
(h) * * *
(5) * * *
(iv) Calculate [Delta]Fspin using the following
equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.119
Example:
[Delta]Fspin = 129.7-52.7
[Delta]Fspin = 77.0 N
* * * * *
(10) Calculate drag area, CdA, in m2 for each
high-speed segment using the following equation, expressed to at least
three decimal places:
[GRAPHIC] [TIFF OMITTED] TP27AP23.071
Where:
Fhi = road load force at high speed determined from Eq.
1037.528-7.
Flo,pair = the average of Flo values for a
pair of opposite direction runs calculated as described in paragraph
(h)(9) of this section.
[Delta]Fspin = the difference in drive-axle spin loss
force between high-speed and low-speed coastdown segments. This is
described in paragraph (h)(5) of this section for tractor testing.
[Delta]FTRR = the difference in tire rolling resistance
force between high-speed and low-speed coastdown segments as
described in paragraph (h)(6) of this section.
v2air,lo,pair = the average of
v2air,lo values for a pair of opposite
direction runs calculated as described in paragraph (h)(9) of this
section.
R = specific gas constant = 287.058 J/(kg[middot]K).
T = mean air temperature expressed to at least one decimal Place.
pact = mean absolute air pressure expressed to at least
one decimal place.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.072
* * * * *
0
71. Amend Sec. 1037.530 by revising the introductory text, paragraphs
(a) introductory text, (c), and (d) introductory text to read as
follows:
Sec. 1037.530 Wind-tunnel procedures for calculating drag area
(CdA).
The wind-tunnel procedure specified in this section is an alternate
procedure for tractors.
(a) You may measure drag areas consistent with published SAE
procedures as described in this section using any wind tunnel
recognized by the Subsonic Aerodynamic Testing Association, subject to
the provisions of Sec. Sec. 1037.525 and 1037.527. If your wind tunnel
does not meet the specifications described in this section, you may ask
us to approve it as an alternate method under Sec. 1037.525(d). All
wind tunnels and wind tunnel tests must meet the specifications
described in SAE J1252 (incorporated by reference, see Sec. 1037.810),
with the following exceptions and additional provisions:
* * * * *
(c) To determine CdA values for certifying tractors,
perform wind-tunnel testing with a tractor-trailer combination using
the manufacturer's tractor and a standard trailer. Use a moving/rolling
floor if the facility has one. For Phase 1 tractors, conduct the wind
tunnel tests at a zero yaw angle. For Phase 2 and Phase 3 vehicles,
conduct the wind tunnel tests by measuring the drag area at yaw angles
of +4.5[deg] and -4.5[deg] and calculating the average of those two
values.
(d) In your request to use wind-tunnel testing for tractors,
describe how you meet all the specifications that apply under this
section, using terminology consistent with SAE J1594 (incorporated by
reference, see Sec. 1037.810). If you request our approval to use
wind-tunnel testing even though you do not meet all the specifications
of this section, describe how your method nevertheless qualifies as an
alternate method under Sec. 1037.525(d) and include all the following
information:
* * * * *
0
72. Amend Sec. 1037.532 by revising the introductory text, paragraphs
(a) introductory text, (b), and (c) introductory text to read as
follows:
Sec. 1037.532 Using computational fluid dynamics to calculate drag
area (CdA).
This section describes how to use commercially available
computational fluid dynamics (CFD) software to determine CdA
values, subject to the provisions of Sec. Sec. 1037.525 and 1037.527.
This is considered to be an alternate method for tractors.
(a) For Phase 2 and Phase 3 vehicles, use SAE J2966 (incorporated
by
[[Page 26133]]
reference, see Sec. 1037.810), with the following clarifications and
exceptions:
* * * * *
(b) For Phase 1 tractors, apply the procedures as specified in
paragraphs (c) through (f) of this section. Paragraphs (c) through (f)
of section apply for Phase 2 and Phase 3 vehicles only as specified in
paragraph (a) of this section.
(c) To determine CdA values for certifying a tractor,
perform CFD modeling based on a tractor-trailer combination using the
manufacturer's tractor and a standard trailer. Perform all CFD modeling
as follows:
* * * * *
0
73. Amend Sec. 1037.540 by:
0
a. Revising the introductory text and paragraphs (c)(2) and (5),
(d)(4), and (f) introductory text; and
0
b. In paragraph (f)(3), by removing the text ``the approved utility
factor curve'' and adding, in its place, the text ``the utility factor
curve in appendix E of this part''.
The revisions read as follows:
Sec. 1037.540 Special procedures for testing vehicles with hybrid
power take-off.
This section describes optional procedures for quantifying the
reduction in greenhouse gas emissions for vehicles as a result of
running power take-off (PTO) devices with a hybrid energy delivery
system. See 40 CFR 1036.545 for powertrain testing requirements that
apply for drivetrain hybrid systems. The procedures are written to test
the PTO by ensuring that the engine produces all of the energy with no
net change in stored energy (charge-sustaining), and for plug-in hybrid
electric vehicles, also allowing for drawing down the stored energy
(charge-depleting). The full charge-sustaining test for the hybrid
vehicle is from a fully charged rechargeable energy storage system
(RESS) to a depleted RESS and then back to a fully charged RESS. You
must include all hardware for the PTO system. You may ask us to modify
the provisions of this section to allow testing hybrid vehicles that
use a technology other than batteries for storing energy, consistent
with good engineering judgment. For plug-in hybrid electric vehicles,
use a utility factor to properly weight charge-sustaining and charge-
depleting operation as described in paragraph (f)(3) of this section.
* * * * *
(c) * * *
(2) Prepare the vehicle for testing by operating it as needed to
stabilize the RESS at a full state of charge (or equivalent for
vehicles that use a technology other than batteries for storing
energy).
* * * * *
(5) Operate the vehicle over one or both of the denormalized PTO
duty cycles without turning the vehicle off, until the engine starts
and then shuts down. This may require running multiple repeats of the
PTO duty cycles. For systems that are not plug-in hybrid systems, the
test cycle is completed once the engine shuts down. For plug-in hybrid
systems, continue running until the PTO hybrid is running in a charge-
sustaining mode such that the ``End of Test'' requirements defined in
40 CFR 1066.501 are met. Measure emissions as described in paragraph
(b)(7) of this section. Use good engineering judgment to minimize the
variability in testing between the two types of vehicles.
* * * * *
(d) * * *
(4) Divide the total PTO operating time from paragraph (d)(3) of
this section by a conversion factor of 0.0144 hr/mi for Phase 1 and
0.0217 hr/mi for Phase 2 and Phase 3 to determine the equivalent
distance driven. The conversion factors are based on estimates of
average vehicle speed and PTO operating time as a percentage of total
engine operating time; the Phase 2 and Phase 3 conversion factor is
calculated from an average speed of 27.1 mi/hr and PTO operation 37% of
engine operating time, as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.073
* * * * *
(f) For Phase 2 and Phase 3, calculate the delta PTO fuel results
for input into GEM during vehicle certification as follows:
* * * * *
Sec. 1037.550--[Removed]
0
74. Remove Sec. 1037.550.
0
75. Amend Sec. 1037.551 by revising the introductory text and
paragraphs (b) and (c) to read as follows:
Sec. 1037.551 Engine-based simulation of powertrain testing.
40 CFR 1036.545 describes how to measure fuel consumption over
specific duty cycles with an engine coupled to a transmission; 40 CFR
1036.545(a)(5) describes how to create equivalent duty cycles for
repeating those same measurements with just the engine. This Sec.
1037.551 describes how to perform this engine testing to simulate the
powertrain test. These engine-based measurements may be used for
selective enforcement audits as described in Sec. 1037.301, as long as
the test engine's operation represents the engine operation observed in
the powertrain test. If we use this approach for confirmatory testing,
when making compliance determinations, we will consider the uncertainty
associated with this approach relative to full powertrain testing. Use
of this approach for engine SEAs is optional for engine manufacturers.
* * * * *
(b) Operate the engine over the applicable engine duty cycles
corresponding to the vehicle cycles specified in Sec. 1037.510(a)(2)
for powertrain testing over the applicable vehicle simulations
described in 40 CFR 1036.545(j). Warm up the engine to prepare for the
transient test or one of the highway cruise cycles by operating it one
time over one of the simulations of the corresponding duty cycle. Warm
up the engine to prepare for the idle test by operating it over a
simulation of the 65-mi/hr highway cruise cycle for 600 seconds. Within
60 seconds after concluding the warm up cycle, start emission sampling
while the engine operates over the duty cycle. You may perform any
number of test runs directly in succession once the engine is warmed
up. Perform cycle validation as described in 40 CFR 1065.514 for engine
speed, torque, and power.
(c) Calculate the mass of fuel consumed as described in 40 CFR
1036.545(n) and (o). Correct each measured value for the test fuel's
mass-specific net energy content as described in 40 CFR 1036.550. Use
these corrected values to determine whether the engine's emission
levels conform to the declared fuel-consumption rates from the
powertrain test.
0
76. Amend Sec. 1037.555 by revising the introductory text to read as
follows:
Sec. 1037.555 Special procedures for testing Phase 1 hybrid systems.
This section describes a powertrain testing procedure for
simulating a chassis test with a pre-transmission or
[[Page 26134]]
post-transmission hybrid system to perform A to B testing of Phase 1
vehicles. These procedures may also be used to perform A to B testing
with non-hybrid systems. See 40 CFR 1036.545 for Phase 2 and Phase 3
hybrid systems.
* * * * *
0
77. Amend Sec. 1037.560 by revising paragraph (e)(2) to read as
follows:
Sec. 1037.560 Axle efficiency test.
* * * * *
(e) * * *
(2) Maintain gear oil temperature at (81 to 83) [deg]C. You may
alternatively specify a lower range by shifting both temperatures down
by the same amount for all test points or on a test point by test point
basis. We will test your axle assembly using the same temperature range
you specify for your testing. You may use an external gear oil
conditioning system, as long as it does not affect measured values.
* * * * *
0
78. Amend Sec. 1037.601 by revising paragraph (b) to read as follows:
Sec. 1037.601 General compliance provisions.
* * * * *
(b) Vehicles exempted from the applicable standards of 40 CFR part
86 or part 1036 other than glider vehicles are exempt from the
standards of this part without request. Similarly, vehicles other than
glider vehicles are exempt without request if the installed engine is
exempted from the applicable standards in 40 CFR part 86 or part 1036.
* * * * *
0
79. Amend Sec. 1037.610 by revising paragraph (f)(2) to read as
follows:
Sec. 1037.610 Vehicles with off-cycle technologies.
* * * * *
(f) * * *
(2) For model years 2021 and later, you may not rely on an approval
for model years before 2021. You must separately request our approval
before applying an improvement factor or credit under this section for
Phase 2 and Phase 3 vehicles, even if we approved an improvement factor
or credit for similar vehicle models before model year 2021. Note that
Phase 2 and Phase 3 approval may carry over for multiple years.
* * * * *
0
80. Amend Sec. 1037.615 by revising paragraphs (a) and (d) through (g)
to read as follows:
Sec. 1037.615 Advanced technologies.
(a) This section describes how to calculate emission credits for
advanced technologies. You may calculate Phase 1 advanced technology
credits through model year 2020 for hybrid vehicles with regenerative
braking, vehicles equipped with Rankine-cycle engines, battery electric
vehicles, and fuel cell vehicles. You may calculate Phase 2 advanced
technology credits through model year 2026 for plug-in hybrid electric
vehicles, battery electric vehicles, and fuel cell vehicles. You may
calculate Phase 3 advanced technology credits for model year 2027 for
fuel cell vehicles. You may not generate credits for Phase 1 engine
technologies for which the engines generate credits under 40 CFR part
1036.
* * * * *
(d) For Phase 2 and Phase 3 plug-in hybrid electric vehicles and
for fuel cells powered by any fuel other than hydrogen, calculate
CO2 credits using an FEL based on emission measurements from
powertrain testing. Phase 2 and Phase 3 advanced technology credits do
not apply for hybrid vehicles that have no plug-in capability.
(e) [Reserved]
(f) For battery electric vehicles and for fuel cell electric
vehicles, calculate CO2 credits using an FEL of 0 g/ton-
mile. Note that these vehicles are subject to compression-ignition
standards for CO2.
(g) As specified in subpart H of this part, advanced-technology
credits generated from Phase 1 vehicles under this section may be used
under this part 1037 outside of the averaging set in which they were
generated, or they may be used under 40 CFR part 86, subpart S, or 40
CFR part 1036. Advanced-technology credits generated from Phase 2 and
Phase 3 vehicles are subject to all the averaging-set restrictions that
apply to other emission credits.
* * * * *
Sec. 1037.620 [Amended]
0
81. Amend Sec. 1037.620 by removing paragraph (c) and redesignating
paragraphs (d) through (f) as paragraphs (c) through (e).
0
82. Amend Sec. 1037.622 by revising the introductory text and
paragraph (d)(5) to read as follows:
Sec. 1037.622 Shipment of partially complete vehicles to secondary
vehicle manufacturers.
This section specifies how manufacturers may introduce partially
complete vehicles into U.S. commerce (or in the case of certain custom
vehicles, introduce complete vehicles into U.S. commerce for
modification by a small manufacturer). The provisions of this section
are intended to accommodate normal business practices without
compromising the effectiveness of certified emission controls. You may
not use the provisions of this section to circumvent the intent of this
part. For vehicles subject to both exhaust greenhouse gas and
evaporative standards, the provisions of this part apply separately for
each certificate.
* * * * *
(d) * * *
(5) The provisions of this paragraph (d) may apply separately for
vehicle greenhouse gas, evaporative, and refueling emission standards.
* * * * *
0
83. AmendSec. 1037.630 by revising paragraphs (a)(1)(iii) and (c) to
read as follows:
Sec. 1037.630 Special purpose tractors.
(a) * * *
(1) * * *
(iii) Model year 2020 and earlier tractors with a gross combination
weight rating (GCWR) at or above 120,000 pounds. Note that Phase 2 and
Phase 3 tractors meeting the definition of ``heavy-haul'' in Sec.
1037.801 must be certified to the heavy-haul standards in Sec. Sec.
1037.106 or 1037.670.
* * * * *
(c) Production limit. No manufacturer may produce more than 21,000
Phase 1 vehicles under this section in any consecutive three model year
period. This means you may not exceed 6,000 in a given model year if
the combined total for the previous two years was 15,000. The
production limit applies with respect to all Class 7 and Class 8 Phase
1 tractors certified or exempted as vocational tractors. No production
limit applies for tractors subject to Phase 2 and Phase 3 standards.
* * * * *
0
84. Amend Sec. 1037.631 by revising paragraph (a) introductory text to
read as follows:
Sec. 1037.631 Exemption for vocational vehicles intended for off-road
use.
* * * * *
(a) Qualifying criteria. Vocational vehicles intended for off-road
use are exempt without request, subject to the provisions of this
section, if they are primarily designed to perform work off-road (such
as in oil fields, mining, forests, or construction sites), and they
meet at least one of the criteria of paragraph (a)(1) of this section
and at least one of the criteria of paragraph (a)(2) of this section.
See Sec. 1037.105(h) for alternate Phase 2 and Phase 3 standards that
apply for vehicles meeting only one of these sets of criteria.
* * * * *
0
85. Amend Sec. 1037.635 by revising paragraph (b)(1) to read as
follows:
[[Page 26135]]
Sec. 1037.635 Glider kits and glider vehicles.
* * * * *
(b) * * *
(1) The engine must meet the greenhouse gas standards of 40 CFR
part 1036 that apply for the engine model year corresponding to the
vehicle's date of manufacture. For example, for a vehicle with a 2024
date of manufacture, the engine must meet the greenhouse gas standards
that apply for model year 2024.
* * * * *
0
86. Amend Sec. 1037.640 by revising the introductory text to read as
follows:
Sec. 1037.640 Variable vehicle speed limiters.
This section specifies provisions that apply for vehicle speed
limiters (VSLs) that you model under Sec. 1037.520. This does not
apply for VSLs that you do not model under Sec. 1037.520. (e) This
section is written to apply for tractors; however, you may use good
engineering judgment to apply equivalent adjustments for Phase 2 and
Phase 3 vocational vehicles with vehicle speed limiters.
* * * * *
0
87. Amend Sec. 1037.660 by revising paragraphs (a)(1)(iv), (2), and
(3) to read as follows:
Sec. 1037.660 Idle-reduction technologies.
* * * * *
(a) * * *
(1) * * *
(iv) For Phase 2 and Phase 3 tractors, you may identify AES systems
as ``adjustable'' if, before delivering to the ultimate purchaser, you
enable authorized dealers to modify the vehicle in a way that disables
the AES system or makes the threshold inactivity period longer than 300
seconds. However, the vehicle may not be delivered to the ultimate
purchaser with the AES system disabled or the threshold inactivity
period set longer than 300 seconds. You may allow dealers or repair
facilities to make such modifications; this might involve password
protection for electronic controls, or special tools that only you
provide. Any dealers making any modifications before delivery to the
ultimate purchaser must notify you, and you must account for such
modifications in your production and ABT reports after the end of the
model year. Dealers failing to provide prompt notification are in
violation of the tampering prohibition of 40 CFR 1068.101(b)(1). Dealer
notifications are deemed to be submissions to EPA. Note that these
adjustments may not be made if the AES system was not ``adjustable''
when first delivered to the ultimate purchaser.
* * * * *
(2) Neutral idle. Phase 2 and Phase 3 vehicles with hydrokinetic
torque converters paired with automatic transmissions qualify for
neutral-idle credit in GEM modeling if the transmission reduces torque
equivalent to shifting into neutral throughout the interval during
which the vehicle's brake pedal is depressed and the vehicle is at a
zero-speed condition (beginning within five seconds of the vehicle
reaching zero speed with the brake depressed). If a vehicle reduces
torque partially but not enough to be equivalent to shifting to
neutral, you may use the provisions of Sec. 1037.610(g) to apply for
an appropriate partial emission reduction; this may involve A to B
testing with the powertrain test procedure in 40 CFR 1036.545 or the
spin-loss portion of the transmission efficiency test in Sec.
1037.565.
(3) Stop-start. Phase 2 and Phase 3 vocational vehicles qualify for
stop-start reduction in GEM modeling if the engine shuts down no more
than 5 seconds after the vehicle's brake pedal is depressed when the
vehicle is at a zero-speed condition.
* * * * *
0
88. Amend Sec. 1037.665 by revising paragraphs (a)(1) and (d) to read
as follows:
Sec. 1037.665 Production and in-use tractor testing.
* * * * *
(a) * * *
(1) Each calendar year, select for testing three sleeper cabs and
two day cabs certified to Phase 1 or Phase 2 or Phase 3 standards. If
we do not identify certain vehicle configurations for your testing,
select models that you project to be among your 12 highest-selling
vehicle configurations for the given year.
* * * * *
(d) Greenhouse gas standards do not apply with respect to testing
under this section. Note however that NTE standards apply for any
qualifying operation that occurs during the testing in the same way
that it would during any other in-use testing.
0
89. Amend Sec. 1037.670 by revising paragraph (a) to read as follows:
Sec. 1037.670 Optional CO2 emission standards for tractors at or
above 120,000 pounds GCWR.
(a) You may certify tractors at or above 120,000 pounds GCWR to the
following CO2 standards instead of the Phase 2
CO2 standards of Sec. 1037.106:
Table 1 of Paragraph (a) of Sec. 1037.670--Optional CO2 Standards for
Model Year 2026 and Earlier Tractors Above 120,000 Pounds GCWR
(g/ton-mile) \a\
------------------------------------------------------------------------
Model years Model years
Subcategory 2021-2023 2024-2026
------------------------------------------------------------------------
Heavy Class 8 Low-Roof Day Cab.......... 53.5 50.8
Heavy Class 8 Low-Roof Sleeper Cab...... 47.1 44.5
Heavy Class 8 Mid-Roof Day Cab.......... 55.6 52.8
Heavy Class 8 Mid-Roof Sleeper Cab...... 49.6 46.9
Heavy Class 8 High-Roof Day Cab......... 54.5 51.4
Heavy Class 8 High-Roof Sleeper Cab..... 47.1 44.2
------------------------------------------------------------------------
\a\ Note that these standards are not directly comparable to the
standards for Heavy-Haul Tractors in Sec. 1037.106 because GEM
handles aerodynamic performance differently for the two sets of
standards.
* * * * *
0
90. Amend Sec. 1037.701 by revising paragraphs (a) and (h) to read as
follows:
Sec. 1037.701 General provisions.
(a) You may average, bank, and trade emission credits for purposes
of certification as described in this subpart and in subpart B of this
part to show compliance with the standards of Sec. Sec. 1037.105 and
1037.106. Note that Sec. 1037.105(h) specifies standards involving
limited or no use of emission credits under this subpart. Participation
in this program is voluntary.
* * * * *
[[Page 26136]]
(h) See Sec. 1037.740 for special credit provisions that apply for
credits generated under 40 CFR 86.1819-14(k)(7), 40 CFR 1036.615, or
Sec. 1037.615.
* * * * *
0
91. Revise Sec. 1037.705 to read as follows:
Sec. 1037.705 Generating and calculating CO2 emission
credits.
(a) The provisions of this section apply separately for calculating
CO2 emission credits for each pollutant.
(b) For each participating family or subfamily, calculate positive
or negative emission credits relative to the otherwise applicable
emission standard. Calculate positive emission credits for a family or
subfamily that has an FEL below the standard. Calculate negative
emission credits for a family or subfamily that has an FEL above the
standard. Sum your positive and negative credits for the model year
before rounding. Round the sum of emission credits to the nearest
megagram (Mg), using consistent units with the following equation:
Emission credits (Mg) = (Std-FEL) [middot] PL [middot] Volume [middot]
UL [middot] 10-\6\
Where:
Std = the emission standard associated with the specific regulatory
subcategory (g/ton-mile). For credits generated on all model year
2027 and later vocational vehicles with tailpipe CO2
emissions deemed to be zero under 40 CFR 1037.150(f), use the
emission standard in Sec. 1037.105 that applies for the
compression-ignition multi-purpose subcategory for the corresponding
vehicle weight class.
FEL = the family emission limit for the vehicle subfamily (g/ton-
mile).
PL = standard payload, in tons.
Volume = U.S.-directed production volume of the vehicle subfamily,
subject to the exclusions described in paragraph (c) of this
section. For example, if you produce three configurations with the
same FEL, the subfamily production volume would be the sum of the
production volumes for these three configurations.
UL = useful life of the vehicle, in miles, as described in
Sec. Sec. 1037.105 and 1037.106.
(c) Compliance with the requirements of this subpart is determined
at the end of the model year by calculating emission credits based on
actual production volumes, excluding any of the following engines:
(1) Vehicles that you do not certify to the CO2
standards of this part because they are permanently exempted under
subpart G of this part or under 40 CFR part 1068.
(2) Exported vehicles even if they are certified under this part
and labeled accordingly.
(3) Vehicles not subject to the requirements of this part, such as
those excluded under Sec. 1037.5.
(4) Any other vehicles, where we indicate elsewhere in this part
1037 that they are not to be included in the calculations of this
subpart.
0
92. Amend Sec. 1037.710 by revising paragraph (c) to read as follows:
Sec. 1037.710 Averaging.
* * * * *
(c) If you certify a vehicle family to an FEL that exceeds the
otherwise applicable standard, you must obtain enough emission credits
to offset the vehicle family's deficit by the due date for the final
report required in Sec. 1037.730. The emission credits used to address
the deficit may come from your other vehicle families that generate
emission credits in the same model year (or from later model years as
specified in Sec. 1037.745), from emission credits you have banked
from previous model years, or from emission credits generated in the
same or previous model years that you obtained through trading.
0
93. Amend Sec. 1037.715 by revising paragraph (a) to read as follows:
Sec. 1037.715 Banking.
(a) Banking is the retention of surplus emission credits by the
manufacturer generating the emission credits for use in future model
years for averaging or trading.
* * * * *
0
94. Amend Sec. 1037.720 by revising paragraph (a) to read as follows:
Sec. 1037.720 Trading.
(a) Trading is the exchange of emission credits between
manufacturers, or the transfer of credits to another party to retire
them. You may use traded emission credits for averaging, banking, or
further trading transactions. Traded emission credits remain subject to
the averaging-set restrictions based on the averaging set in which they
were generated.
* * * * *
0
95. Amend Sec. 1037.730 by revising paragraphs (b)(4) and (f) to read
as follows:
Sec. 1037.730 ABT reports.
* * * * *
(b) * * *
(4) The projected and actual production volumes for the model year
for calculating emission credits. If you changed an FEL during the
model year, identify the actual production volume associated with each
FEL.
* * * * *
(f) * * *
(1) If you notify us by the deadline for submitting the final
report that errors mistakenly decreased your balance of emission
credits, you may correct the errors and recalculate the balance of
emission credits. If you notify us that errors mistakenly decreased
your balance of emission credits after the deadline for submitting the
final report, you may correct the errors and recalculate the balance of
emission credits after applying a 10 percent discount to the credit
correction, but only if you notify us within 24 months after the
deadline for submitting the final report. If you report a negative
balance of emission credits, we may disallow corrections under this
paragraph (f)(1).
* * * * *
0
96. Amend Sec. 1037.740 by:
0
a. Removing paragraphs (a)(4) and (5);
0
b. Redesignating paragraph (a)(6) as paragraph (a)(4); and
0
c. Revising paragraphs (b)(1) introductory text and (b)(2).
The revisions read as follows:
Sec. 1037.740 Restrictions for using emission credits.
* * * * *
(a) * * *
(4) Note that other separate averaging sets also apply for emission
credits not related to this part. For example, vehicles certified to
the greenhouse gas standards of 40 CFR part 86, subpart S, comprise a
single averaging set. Separate averaging sets also apply for engines
under 40 CFR part 1036, including engines used in vehicles subject to
this subpart.
(b) * * *
(1) Credits generated from Phase 1 vehicles may be used for any of
the averaging sets identified in paragraph (a) of this section; you may
also use those credits to demonstrate compliance with the
CO2 emission standards in 40 CFR part 86, subpart S, and 40
CFR part 1036. Similarly, you may use Phase 1 advanced-technology
credits generated under 40 CFR 86.1819-14(k)(7) or 40 CFR 1036.615 to
demonstrate compliance with the CO2 standards in this part.
The maximum amount of advanced-technology credits generated from Phase
1 vehicles that you may bring into each of the following service class
groups is 60,000 Mg per model year:
* * * * *
(2) Credits generated from Phase 2 and Phase 3 vehicles are subject
to all the averaging-set restrictions that apply to other emission
credits.
* * * * *
0
97. Amend Sec. 1037.745 by revising paragraph (a) to read as follows:
[[Page 26137]]
Sec. 1037.745 End-of-year CO2 credit deficits.
* * * * *
(a) Your certificate for a vehicle family for which you do not have
sufficient CO2 credits will not be void if you remedy the
deficit with surplus credits within three model years (this applies
equally for tractors and vocational vehicles). For example, if you have
a credit deficit of 500 Mg for a vehicle family at the end of model
year 2015, you must generate (or otherwise obtain) a surplus of at
least 500 Mg in that same averaging set by the end of model year 2018.
* * * * *
0
98. Amend Sec. 1037.801 by:
0
a. Adding a definition of ``Battery electric vehicle'' in alphabetical
order;
0
b. Removing the definition of ``Box van'';
0
c. Revising the definition of ``Class'';
0
d. Removing the definitions of ``Container chassis'', ``Electric
vehicle'', and ``Flatbed trailer'';
0
e. Adding a definition of ``Fuel cell electric vehicle'' in
alphabetical order;
0
f. Revising the definitions of ``Heavy-duty vehicle'' and ``Heavy-haul
tractor'';
0
g. Adding a definition of ``Hybrid'' in alphabetical order;
0
h. Removing the definitions of ``Hybrid engine or hybrid powertrain''
and ``Hybrid vehicle'';
0
i. Revising the definitions of ``Low rolling resistance tire'',
``Manufacturer'', and ``Model year'';
0
j. Adding a definition of ``Neat'' in alphabetical order;
0
k. Revising the definitions of ``Phase 1'' and ``Phase 2'';
0
l. Adding definitions of ``Phase 3'' and ``Plug-in hybrid electric
vehicle'' in alphabetical order;
0
m. Revising the definitions of ``Preliminary approval'', ``Small
manufacturer'', and ``Standard payload'';
0
n. Removing the definitions of ``Standard tractor'' and ``Tank
trailer''; and
0
o. Revising the definitions of ``Tire rolling resistance level
(TRRL)'', ``Trailer'', ``U.S.-directed production volume'', and
``Vehicle''.
The additions and revision read as follows:
Sec. 1037.801 Definitions.
* * * * *
Battery electric vehicle means a motor vehicle powered solely by an
electric motor where energy for the motor is supplied by one or more
batteries that receive power from an external source of electricity.
Note that this definition does not include hybrid vehicles or plug-in
hybrid electric vehicles.
* * * * *
Class means relating to GVWR classes for vehicles, as follows:
(1) Class 2b means relating to heavy-duty motor vehicles at or
below 10,000 pounds GVWR.
(2) Class 3 means relating to heavy-duty motor vehicles above
10,000 pounds GVWR but at or below 14,000 pounds GVWR.
(3) Class 4 means relating to heavy-duty motor vehicles above
14,000 pounds GVWR but at or below 16,000 pounds GVWR.
(4) Class 5 means relating to heavy-duty motor vehicles above
16,000 pounds GVWR but at or below 19,500 pounds GVWR.
(5) Class 6 means relating to heavy-duty motor vehicles above
19,500 pounds GVWR but at or below 26,000 pounds GVWR.
(6) Class 7 means relating to heavy-duty motor vehicles above
26,000 pounds GVWR but at or below 33,000 pounds GVWR.
(7) Class 8 means relating to heavy-duty motor vehicles above
33,000 pounds GVWR.
* * * * *
Fuel cell electric vehicle means a motor vehicle powered solely by
an electric motor where energy for the motor is supplied by hydrogen
fuel cells. Fuel cell electric vehicles may include energy storage from
the fuel cells or from regenerative braking in a battery.
* * * * *
Heavy-duty vehicle means any motor vehicle that has a GVWR above
8,500 pounds. An incomplete vehicle is also a heavy-duty vehicle if it
has a curb weight above 6,000 pounds or a basic vehicle frontal area
greater than 45 square feet.
Heavy-haul tractor means a tractor with GCWR greater than or equal
to 120,000 pounds. A heavy-haul tractor is not a vocational tractor in
Phase 2 and Phase 3.
* * * * *
Hybrid has the meaning given in 40 CFR 1036.801. Note that a hybrid
vehicle is a vehicle with a hybrid powertrain (including a hybrid
engine). This includes plug-in hybrid electric vehicles.
* * * * *
Low rolling resistance tire means a tire on a vocational vehicle
with a TRRL at or below of 7.7 N/kN, a steer tire on a tractor with a
TRRL at or below 7.7 N/kN, a drive tire on a tractor with a TRRL at or
below 8.1 N/kN.
* * * * *
Manufacturer has the meaning given in section 216(1) of the Act. In
general, this term includes any person who manufactures or assembles a
vehicle (including an incomplete vehicle) for sale in the United States
or otherwise introduces a new motor vehicle into commerce in the United
States. This includes importers who import vehicles for resale,
entities that manufacture glider kits, and entities that assemble
glider vehicles.
* * * * *
Model year means one of the following for compliance with this
part. Note that manufacturers may have other model year designations
for the same vehicle for compliance with other requirements or for
other purposes:
(1) For tractors and vocational vehicles with a date of manufacture
on or after January 1, 2021, model year means the manufacturer's annual
new model production period based on the vehicle's date of manufacture,
where the model year is the calendar year corresponding to the date of
manufacture, except as follows:
(i) The vehicle's model year may be designated as the year before
the calendar year corresponding to the date of manufacture if the
engine's model year is also from an earlier year. You may ask us to
extend your prior model year certificate to include such vehicles. Note
that Sec. 1037.601(a)(2) limits the extent to which vehicle
manufacturers may install engines built in earlier calendar years.
(ii) The vehicle's model year may be designated as the year after
the calendar year corresponding to the vehicle's date of manufacture.
For example, a manufacturer may produce a new vehicle by installing the
engine in December 2023 and designating it as a model year 2024
vehicle.
(2) For Phase 1 tractors and vocational vehicles with a date of
manufacture before January 1, 2021, model year means the manufacturer's
annual new model production period, except as restricted under this
definition and 40 CFR part 85, subpart X. It must include January 1 of
the calendar year for which the model year is named, may not begin
before January 2 of the previous calendar year, and it must end by
December 31 of the named calendar year. The model year may be set to
match the calendar year corresponding to the date of manufacture.
(i) The manufacturer who holds the certificate of conformity for
the vehicle must assign the model year based on the date when its
manufacturing operations are completed relative to its annual model
year period. In unusual circumstances where completion of your assembly
is delayed, we may allow you to assign a model year one year
[[Page 26138]]
earlier, provided it does not affect which regulatory requirements will
apply.
(ii) Unless a vehicle is being shipped to a secondary vehicle
manufacturer that will hold the certificate of conformity, the model
year must be assigned prior to introduction of the vehicle into U.S.
commerce. The certifying manufacturer must redesignate the model year
if it does not complete its manufacturing operations within the
originally identified model year. A vehicle introduced into U.S.
commerce without a model year is deemed to have a model year equal to
the calendar year of its introduction into U.S. commerce unless the
certifying manufacturer assigns a later date.
* * * * *
Neat has the meaning given in 40 CFR 1065.1001.
* * * * *
Phase 1 means relating to the Phase 1 standards specified in
Sec. Sec. 1037.105 and 1037.106. For example, a vehicle subject to the
Phase 1 standards is a Phase 1 vehicle.
Phase 2 means relating to the Phase 2 standards specified in
Sec. Sec. 1037.105 and 1037.106.
Phase 3 means relating to the Phase 3 standards specified in
Sec. Sec. 1037.105 and 1037.106.
* * * * *
Plug-in hybrid electric vehicle means a hybrid vehicle that has the
capability to charge one or more batteries from an external source of
electricity while the vehicle is parked.
* * * * *
Preliminary approval means approval granted by an authorized EPA
representative prior to submission of an application for certification,
consistent with the provisions of Sec. 1037.210.
* * * * *
Small manufacturer means a manufacturer meeting the small business
criteria specified in 13 CFR 121.201 for heavy-duty truck manufacturing
(NAICS code 336120). The employee limit applies to the total number
employees for all affiliated companies (as defined in 40 CFR 1068.30).
* * * * *
Standard payload means the payload assumed for each vehicle, in
tons, for modeling and calculating emission credits, as follows:
(1) For vocational vehicles:
(i) 2.85 tons for Light HDV.
(ii) 5.6 tons for Medium HDV.
(iii) 7.5 tons for Heavy HDV.
(2) For tractors:
(i) 12.5 tons for Class 7.
(ii) 19 tons for Class 8, other than heavy-haul tractors.
(iii) 43 tons for heavy-haul tractors.
* * * * *
Tire rolling resistance level (TRRL) means a value with units of N/
kN that represents the rolling resistance of a tire configuration.
TRRLs are used as modeling inputs under Sec. 1037.520. Note that a
manufacturer may use the measured value for a tire configuration's
coefficient of rolling resistance, or assign some higher value.
* * * * *
Trailer means a piece of equipment designed for carrying cargo and
for being drawn by a tractor when coupled to the tractor's fifth wheel.
* * * * *
U.S.-directed production volume means the number of vehicle units,
subject to the requirements of this part, produced by a manufacturer
for which the manufacturer has a reasonable assurance that sale was or
will be made to ultimate purchasers in the United States. Note that
this includes vehicles certified to state emission standards that are
different than the emission standards in this part.
* * * * *
Vehicle means equipment intended for use on highways that meets at
least one of the criteria of paragraph (1) of this definition, as
follows:
(1) The following equipment are vehicles:
(i) A piece of equipment that is intended for self-propelled use on
highways becomes a vehicle when it includes at least an engine, a
transmission, and a frame. (Note: For purposes of this definition, any
electrical, mechanical, and/or hydraulic devices attached to engines
for the purpose of powering wheels are considered to be transmissions.)
(ii) A piece of equipment that is intended for self-propelled use
on highways becomes a vehicle when it includes a passenger compartment
attached to a frame with one or more axles.
(2) Vehicles may be complete or incomplete vehicles as follows:
(i) A complete vehicle is a functioning vehicle that has the
primary load carrying device or container (or equivalent equipment)
attached when it is first sold as a vehicle. Examples of equivalent
equipment would include fifth wheel trailer hitches, firefighting
equipment, and utility booms.
(ii) An incomplete vehicle is a vehicle that is not a complete
vehicle. Incomplete vehicles may also be cab-complete vehicles. This
may include vehicles sold to secondary vehicle manufacturers.
(iii) You may ask us to allow you to certify a vehicle as
incomplete if you manufacture the engines and sell the unassembled
chassis components, as long as you do not produce and sell the body
components necessary to complete the vehicle.
* * * * *
0
99. In Sec. 1037.805 amend Table 5 in paragraph (e) by adding an entry
for ``GHG'' in alphabetical order and removing the entry for ``PHEV''
to read as follows:
Sec. 1037.805 Symbols, abbreviations, and acronyms.
* * * * *
(e) * * *
Table 5 to Paragraph (e) of Sec. 1037.805--Other Acronyms and
Abbreviations
------------------------------------------------------------------------
Acronym Meaning
------------------------------------------------------------------------
* * * * *
GHG....................................... Greenhouse gas.
* * * * *
------------------------------------------------------------------------
* * * * *
0
100. Amend Sec. 1037.810 by:
0
a. Removing paragraph (c)(9);
0
b. Redesignating paragraph (c)(10) as paragraph (c)(9);
0
c. Revising paragraph (d)(4);
0
d. Removing the text ``bb'' in paragraphs (d)(2), (3), and (5) and add,
in their place, the text ``x''; and
0
e. Adding paragraph (e).
The revision and addition read as follows:
Sec. 1037.810 Incorporation by reference.
* * * * *
(d) * * *
(4) Greenhouse gas Emissions Model (GEM) Phase 2, Version 4.0,
April 2022 (``GEM Phase 2, Version 4.0''); IBR approved for Sec. Sec.
1037.150(x); 1037.520.
* * * * *
(e) UN Economic Commission for Europe, Information Service, Palais
des Nations, CH-1211 Geneva 10, Switzerland; [email protected];
www.unece.org:
(1) Addendum 22: United Nations Global Technical Regulation, No.
22, United Nations Global Technical Regulation on In-vehicle Battery
Durability for Electrified Vehicles, Adopted April 14, 2022, (``GTR No.
22''); IBR approved for Sec. 1037.115(f).
(2) [Reserved]
[[Page 26139]]
0
101. Revise appendix C of part 1037 to read as follows:
Appendix C of Part 1037--Emission Control Identifiers
This appendix identifies abbreviations for emission control
information labels, as required under Sec. 1037.135.
Vehicle Speed Limiters
--VSL--Vehicle speed limiter
--VSLS--``Soft-top'' vehicle speed limiter
--VSLE--Expiring vehicle speed limiter
--VSLD--Vehicle speed limiter with both ``soft-top'' and
expiration
Idle Reduction Technology
--IRT5--Engine shutoff after 5 minutes or less of idling
--IRTE--Expiring engine shutoff
Tires
--LRRA--Low rolling resistance tires (all)
--LRRD--Low rolling resistance tires (drive)
--LRRS--Low rolling resistance tires (steer)
Aerodynamic Components
--ATS--Aerodynamic side skirt and/or fuel tank fairing
--ARF--Aerodynamic roof fairing
--ARFR--Adjustable height aerodynamic roof fairing
--TGR--Gap reducing tractor fairing (tractor to trailer gap)
Other Components
--ADVH--Vehicle includes advanced hybrid technology components
--ADVO--Vehicle includes other advanced-technology components
(i.e., non-hybrid system)
--INV--Vehicle includes innovative (off-cycle) technology
components
--ATI--Automatic tire inflation system
--TPMS--Tire pressure monitoring system
0
102. Amend appendix D of part 1037 by revising the appendix heading to
read as follows:
Appendix D of Part 1037--Heavy-Duty Grade Profile for Phase 2 and Phase
3 Steady-State Test Cycles
* * * * *
PART 1054--CONTROL OF EMISSIONS FROM NEW, SMALL NONROAD SPARK-
IGNITION ENGINES AND EQUIPMENT
0
103. The authority citation for part 1054 continues to read as follows:
Authority: 42 U.S.C. 7401-7671q.
0
104. Amend Sec. 1054.501 by revising paragraph (b)(7) to read as
follows:
Sec. 1054.501 How do I run a valid emission test?
* * * * *
(b) * * *
(7) Determine your test fuel's carbon mass fraction, wc,
using a calculation based on fuel properties as described in 40 CFR
1065.655(d); however, you must measure fuel properties for [alpha] and
[beta] rather than using the default values specified in 40 CFR
1065.655(e).
* * * * *
PART 1065--ENGINE-TESTING PROCEDURES
0
105. The authority citation for part 1065 continues to read as follows:
Authority: 42 U.S.C. 7401-7671q.
0
106. Amend Sec. 1065.210 by revising paragraph (a) to read as follows:
Sec. 1065.210 Work input and output sensors.
(a) Application. Use instruments as specified in this section to
measure work inputs and outputs during engine operation. We recommend
that you use sensors, transducers, and meters that meet the
specifications in Table 1 of Sec. 1065.205. Note that your overall
systems for measuring work inputs and outputs must meet the linearity
verifications in Sec. 1065.307. We recommend that you measure work
inputs and outputs where they cross the system boundary as shown in
Figure 1 of this section. The system boundary is different for air-
cooled engines than for liquid-cooled engines. If you choose to measure
work before or after a work conversion, relative to the system
boundary, use good engineering judgment to estimate any work-conversion
losses in a way that avoids overestimation of total work. For example,
if it is impractical to instrument the shaft of an exhaust turbine
generating electrical work, you may decide to measure its converted
electrical work. As another example, your engine may include an engine
exhaust electrical heater where the heater is powered by an external
power source. In these cases, assume an electrical generator efficiency
of 0.67 ([eta]=0.67), which is a conservative estimate of the
efficiency and could over-estimate brake-specific emissions. As another
example, you may decide to measure the tractive (i.e., electrical
output) power of a locomotive, rather than the brake power of the
locomotive engine. In these cases, divide the electrical work by
accurate values of electrical generator efficiency ([eta]<1), or assume
an efficiency of 1 ([eta]=1), which would over-estimate brake-specific
emissions. For the example of using locomotive tractive power with a
generator efficiency of 1 ([eta]=1), this means using the tractive
power as the brake power in emission calculations. Do not underestimate
any work conversion efficiencies for any components outside the system
boundary that do not return work into the system boundary. And do not
overestimate any work conversion efficiencies for components outside
the system boundary that do return work into the system boundary. In
all cases, ensure that you are able to accurately demonstrate
compliance with the applicable standards in this chapter. Figure 1
follows:
BILLING CODE 6560-50-P
[[Page 26140]]
Figure 1 to paragraph (a) of Sec. 1065.210: Work Inputs, Outputs, and
System Boundaries
[GRAPHIC] [TIFF OMITTED] TP27AP23.074
BILLING CODE 6560-50-C
* * * * *
[[Page 26141]]
0
107. Amend subpart C by adding a new center header ``H2 AND
H2O MEASUREMENTS'' after Sec. 1065.250 and adding
Sec. Sec. 1065.255 and 1065.257 under the new center header to read as
follows:
H2 and H2O MEASUREMENTS
Sec. 1065.255 H2 measurement devices.
(a) General component requirements. We recommend that you use an
analyzer that meets the specifications in Table 1 of Sec. 1065.205.
Note that your system must meet the linearity verification in Sec.
1065.307.
(b) Instrument types. You may use any of the following analyzers to
measure H2:
(1) Magnetic sector mass spectrometer.
(2) Raman spectrometer.
(c) Interference verification. Certain species can positively
interfere with magnetic sector mass spectroscopy and raman spectroscopy
by causing a response similar to H2. When running the
interference verification for these analyzers, use good engineering
judgment to determine interference species. Note that for raman
spectroscopy interference species are dependent on the H2
infrared absorption band chosen by the instrument manufacturer. For
each analyzer determine the H2 infrared absorption band. For
each H2 infrared adsorption band, determine the interference
species to use in the verification. Use the interference species
specified by the instrument manufacturer or use good engineering
judgment to determine the interference species.
Sec. 1065.257 Fourier transform infrared analyzer for H2O
measurement.
(a) Component requirements. We recommend that you use an FTIR
analyzer that meets the specifications in Table 1 of Sec. 1065.205.
Note that your system must meet the linearity verification in Sec.
1065.307 using a water generation system that meets the requirements of
Sec. 1065.750(a)(6). Use appropriate analytical procedures for
interpretation of infrared spectra. For example, EPA Test Method 320
(see Sec. 1065.266(b)) and ASTM D6348 (incorporated by reference, see
Sec. 1065.1010) are considered valid methods for spectral
interpretation. You must use heated FTIR analyzers that maintain all
surfaces that are exposed to emissions at a temperature of (110 to 202)
[deg]C.
(b) Interference verification. Certain species can interfere with
FTIR analyzers by causing a response similar to the water.
(1) Perform CO2 interference verification for FTIR
analyzers using the procedures of Sec. 1065.357 as CO2 gas
can positively interfere with FTIR analyzers by causing a response
similar to H2O.
(2) Use good engineering judgment to determine other interference
species for FTIR analyzers. Possible interference species include, but
are not limited to, CO, NO, C2H4, and
C7H8. Perform interference verification using the
procedures of Sec. 1065.357, replacing occurances of CO2
(except for Sec. 1065.357(e)(1)) with the targeted interferent specie.
Note that interference species, with the exception of CO2,
are dependent on the H2O infrared absorption band chosen by
the instrument manufacturer. For each analyzer determine the
H2O infrared absorption band. For each H2O
infrared absorption band, use good engineering judgment to determine
interference species to use in the verification.
0
108. Amend Sec. 1065.266 by revising paragraph (e) as follows:
Sec. 1065.266 Fourier transform infrared analyzer.
* * * * *
(e) Interference verification. Perform interference verification
for FTIR analyzers using the procedures of Sec. 1065.366. Certain
species can interfere with FTIR analyzers by causing a response similar
to the hydrocarbon species of interest. When running the interference
verification for these analyzers, use interference species as follows:
(1) The interference species for CH4 are CO2,
H2O, and C2H6.
(2) The interference species for C2H6 are
CO2, H2O, and CH4.
(3) The interference species for other measured hydrocarbon species
are CO2, H2O, CH4, and
C2H6.
0
109. Revise the undesignated center heading preceding Sec. 1065.270 to
read as follows:
NOX, N2O, and NH3 MEASUREMENTS
0
110. Add Sec. 1065.277 under the undesignated and newly revised center
header ``NOX, N2O, and NH3
Measurements'' to read as follows:
Sec. 1065.277 NH3 measurement devices.
(a) General component requirements. We recommend that you use an
analyzer that meets the specifications in Table 1 of Sec. 1065.205.
Note that your system must meet the linearity verification in Sec.
1065.307.
(b) Instrument types. You may use any of the following analyzers to
measure NH3:
(1) Nondispersive ultravoilet (NDUV) analyzer.
(2) Fourier transform infrared (FTIR) analyzer. Use appropriate
analytical procedures for interpretation of infrared spectra. For
example, EPA Test Method 320 (see Sec. 1065.266(b)) and ASTM D6348
(incorporated by reference, see Sec. 1065.1010) are considered valid
methods for spectral interpretation.
(3) Laser infrared analyzer. Examples of laser infrared analyzers
are pulsed-mode high-resolution narrow band mid-infrared analyzers,
modulated continuous wave high-resolution narrow band mid-infrared
analyzers, and modulated continuous wave high-resolution near-infrared
analyzers. A quantum cascade laser, for example, can emit coherent
light in the mid-infrared region where nitrogen compounds including
NH3 have strong absorption.
(c) Sampling system. NH3 has a tendency to adsorb to
surfaces that it encounters. Minimize NH3 losses and
sampling artifacts by using sampling system components (sample lines,
prefilters and valves) made of stainless steel or PTFE heated to (110
to 202) [deg]C. If you heat these components to temperatures >=130
[deg]C, use good engineering judgement to minimize NH3
formation due to thermal decomposition and hydrolysis of any DEF
present in the sample gas. Use a sample line that is as short as
practically possible.
(d) Interference verification. Certain species can positively
interfere with NDUV, FTIR, and laser infrared analyzers by causing a
response similar to NH3. Perform interference verification
for NDUV analyzers using the procedures of Sec. 1065.372, replacing
occurances of NOX with NH3 and interference
species with those listed in paragraph (d)(1) of this section. NDUV
analyzers must have combined interference that is within (0.02.0) [mu]mol/mol. Perform interference verification for FTIR and
laser infrared analyzers using the procedures of Sec. 1065.377. When
running the interference verification for these analyzers, use
interference species as follows:
(1) For NDUV analyzers, use SO2 and H2O as
the interference species.
(2) Use good engineering judgment to determine interference species
for FTIR and laser infrared analyzers. Note that interference species,
with the exception of H2O, are dependent on the
NH3 infrared absorption band chosen by the instrument
manufacturer. For each analyzer determine the NH3 infrared
absorption band. For each NH3 infrared absorption band, use
the interference gases specified by the instrument manufacturer or use
good engineering judgment to determine the interference gases to use in
the verification.
[[Page 26142]]
0
111. Amend Sec. 1065.315 by revising paragraphs (a)(2) and (3) to read
as follows:
Sec. 1065.315 Pressure, temperature, and dewpoint calibration.
(a) * * *
(2) Temperature. We recommend digital dry-block or stirred-liquid
temperature calibrators, with data logging capabilities to minimize
transcription errors. We recommend using calibration reference
quantities that are NIST-traceable within 0.5% uncertainty
of absolute temperature. You may perform linearity verification for
temperature measurement systems with thermocouples, RTDs, and
thermistors by removing the sensor from the system and using a
simulator in its place. Use a NIST-traceable simulator that is
independently calibrated and, as appropriate, cold-junction
compensated. The simulator uncertainty scaled to absolute temperature
must be less than 0.5% of Tmax. If you use this option, you
must use sensors that the supplier states are accurate to better than
0.5% of Tmax compared with their standard calibration curve.
(3) Dewpoint. We recommend a minimum of three different
temperature-equilibrated and temperature-monitored calibration salt
solutions in containers that seal completely around the dewpoint
sensor. We recommend using calibration reference quantities that are
NIST-traceable within 0.5% uncertainty of absolute dewpoint
temperature.
* * * * *
0
112. Amend subpart D by adding a new center header ``H2O
MEASUREMENTS'' after Sec. 1065.355 and adding Sec. Sec. 1065.357
under the new center header to read as follows:
H2O MEASUREMENTS
Sec. 1065.357 CO2 interference verification for H2O FTIR analyzers.
(a) Scope and frequency. If you measure H2O using an
FTIR analyzer, verify the amount of CO2 interference after
initial analyzer installation and after major maintenance.
(b) Measurement principles. CO2 can interfere with an
FTIR analyzer's response to H2O. If the FTIR analyzer uses
compensation algorithms that utilize measurements of other gases to
meet this interference verification, simultaneously conduct these other
measurements to test the compensation algorithms during the analyzer
interference verification.
(c) System requirements. An H2O FTIR analyzer must have
a CO2 interference that is within (0.00.4) mmol/
mol, though we strongly recommend a lower interference that is within
(0.00.2) mmol/mol.
(d) Procedure. Perform the interference verification as follows:
(1) Start, operate, zero, and span the H2O FTIR analyzer
as you would before an emission test.
(2) Use a CO2 span gas that meets the specifications of
Sec. 1065.750 and a concentration that is approximately the maximum
CO2 concentration expected during emission testing.
(3) Introduce the CO2 test gas into the sample system.
(4) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the transfer line and to
account for analyzer response.
(5) While the analyzer measures the sample's concentration, record
30 seconds of sampled data. Calculate the arithmetic mean of this data.
The analyzer meets the interference verification if this value is
within (0.0 0.4) mmol/mol.
(e) Exceptions. The following exceptions apply:
(1) You may omit this verification for CO2 for engines
operating on fuels other than carbon-containing fuels.
(2) You may omit this verification if you can show by engineering
analysis that for your H2O sampling system and your
emission-calculation procedures, the CO2 interference for
your H2O FTIR analyzer always affects your brake-specific
emission results within 0.5% of each of the applicable
standards in this chapter. This specification also applies for vehicle
testing, except that it relates to emission results in g/mile or g/
kilometer.
(3) You may use an H2O FTIR analyzer that you determine
does not meet this verification, as long as you try to correct the
problem and the measurement deficiency does not adversely affect your
ability to show that engines comply with all applicable emission
standards.
0
113. Amend Sec. 1065.360 by revising paragraphs (a)(4), (b), (d)
introductory text, and (d)(12) to read as follows:
Sec. 1065.360 FID optimization and verification.
(a) * * *
(4) You may determine the methane (CH4) and ethane
(C2H6) response factors as a function of the
molar water concentration in the raw or diluted exhaust. If you choose
the option in this paragraph (a)(4), generate and verify the humidity
level (or fraction) as described in Sec. 1065.365(g).
(b) Calibration. Use good engineering judgment to develop a
calibration procedure, such as one based on the FID-analyzer
manufacturer's instructions and recommended frequency for calibrating
the FID. Alternately, you may remove system components for off-site
calibration. For a FID that measures THC, calibrate using
C3H8 calibration gases that meet the
specifications of Sec. 1065.750. For a FID that measures
CH4, calibrate using CH4 calibration gases that
meet the specifications of Sec. 1065.750. We recommend FID analyzer
zero and span gases that contain approximately the flow-weighted mean
concentration of O2 expected during testing. If you use a
FID to measure CH4 downstream of a nonmethane cutter (NMC),
you may calibrate that FID using CH4 calibration gases with
the NMC. Regardless of the calibration gas composition, calibrate on a
carbon number basis of one (C1). For example, if you use a
C3H8 span gas of concentration 200 [mu]mol/mol,
span the FID to respond with a value of 600 [mu]mol/mol. As another
example, if you use a CH4 span gas with a concentration of
200 [mu]mol/mol, span the FID to respond with a value of 200 [mu]mol/
mol.
* * * * *
(d) THC FID CH4 response factor determination. This procedure is
only for FID analyzers that measure THC. Since FID analyzers generally
have a different response to CH4 versus
C3H8, determine the THC-FID analyzer's
CH4 response factor, RFCH4[THC-FID], after FID
optimization. Use the most recent RFCH4[THC-FID] measured
according to this section in the calculations for HC determination
described in Sec. 1065.660 to compensate for CH4 response.
Determine RFCH4[THC-FID] as follows, noting that you do not
determine RFCH4[THC-FID] for FIDs that are calibrated and
spanned using CH4 with an NMC:
* * * * *
(12) You may determine the response factor as a function of molar
water concentration and use this response factor to account for the
CH4 response for NMHC determination described in Sec.
1065.660(b)(2)(iii). If you use this option, humidify the
CH4 span gas as described in Sec. 1065.365(g) and repeat
the steps in paragraphs (d)(7) through (9) of this section until
measurements are complete for each setpoint in the selected range.
Divide each mean measured CH4 concentration by the recorded
span concentration of the CH4 calibration gas, adjusted for
water content, to determine the FID analyzer's CH4 response
factor, RFCH4[THC-FID]. Use the CH4 response
factors at the different setpoints to create a functional relationship
between response factor and molar water concentration,
[[Page 26143]]
downstream of the last sample dryer if any sample dryers are present.
Use this functional relationship to determine the response factor
during an emission test.
* * * * *
0
114. Revise Sec. 1065.365 to read as follows:
Sec. 1065.365 Nonmethane cutter penetration fractions and NMC FID
response factors.
(a) Scope and frequency. If you use a FID analyzer and a nonmethane
cutter (NMC) to measure methane (CH4), determine the NMC's
penetration fractions of CH4, PFCH4, and ethane
(C2H6), PFC2H6. As detailed in this
section, these penetration fractions may be determined as a combination
of NMC penetration fractions and FID analyzer response factors,
depending on your particular NMC and FID analyzer configuration.
Perform this verification after installing the NMC. Repeat this
verification within 185 days of testing to verify that the catalytic
activity of the NMC has not deteriorated. Note that because NMCs can
deteriorate rapidly and without warning if they are operated outside of
certain ranges of gas concentrations and outside of certain temperature
ranges, good engineering judgment may dictate that you determine an
NMC's penetration fractions more frequently.
(b) Measurement principles. A NMC is a heated catalyst that removes
nonmethane hydrocarbons from an exhaust sample stream before the FID
analyzer measures the remaining hydrocarbon concentration. An ideal NMC
would have a CH4 penetration fraction, PFCH4, of
1.000, and the penetration fraction for all other nonmethane
hydrocarbons would be 0.000, as represented by PFC2H6. The
emission calculations in Sec. 1065.660 use the measured values from
this verification to account for less than ideal NMC performance.
(c) System requirements. We do not limit NMC penetration fractions
to a certain range. However, we recommend that you optimize an NMC by
adjusting its temperature to achieve a PFC2H6 <0.02, as
determined by paragraphs (d), (e), or (f) of this section, as
applicable, using dry gases. If we use an NMC for testing, it will meet
this recommendation. If adjusting NMC temperature does not result in
achieving this recommendation, we recommend that you replace the
catalyst material. Use the most recently determined penetration values
from this section to calculate HC emissions according to Sec. 1065.660
and Sec. 1065.665 as applicable.
(d) Procedure for a FID calibrated with the NMC. The method
described in this paragraph (d) is recommended over the procedures
specified in paragraphs (e) and (f) of this section and required for
any gaseous-fueled engine, including dual-fuel and flexible-fuel
engines. For any gaseous-fueled engine, including dual-fuel and
flexible-fuel engines, you must determine the combined CH4
response factor and penetration fraction, RFPFCH4[NMC-FID],
and combined C2H6 response factor and penetration
fraction, RFPFC2H6[NMC-FID], as a function of the molar
water concentration in the raw or diluted exhaust as described in
paragraphs (d)(9) and (g) of this section. Note that
RFPFCH4[NMC-FID] is set equal to 1.0 only for zero molar
water concentration. For any other engine you may use the same
procedure, or you may set RFPFCH4[NMC-FID] equal to 1.0 and
determine RFPFC2H6[NMC-FID] at zero molar water
concentration. Generate and verify the humidity generation as described
in paragraph (g) of this section.
(1) Select CH4 and C2H6 analytical
gas mixtures and ensure that both mixtures meet the specifications of
Sec. 1065.750. Select a CH4 concentration that you would
use for spanning the FID during emission testing and select a
C2H6 concentration that is typical of the peak
NMHC concentration expected at the hydrocarbon standard or equal to the
THC analyzer's span value. For CH4 analyzers with multiple
ranges, perform this procedure on the highest range used for emission
testing.
(2) Start, operate, and optimize the NMC according to the
manufacturer's instructions, including any temperature optimization.
(3) Confirm that the FID analyzer meets all the specifications of
Sec. 1065.360.
(4) Start and operate the FID analyzer according to the
manufacturer's instructions.
(5) Zero and span the FID with the NMC as you would during emission
testing. Span the FID through the NMC by using CH4 span gas.
(6) Introduce the C2H6 analytical gas mixture
upstream of the NMC. Use good engineering judgment to address the
effect of hydrocarbon contamination if your point of introduction is
vastly different from the point of zero/span gas introduction.
(7) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the NMC and to account for
the analyzer's response.
(8) While the analyzer measures a stable concentration, record 30
seconds of sampled data. Calculate the arithmetic mean of these data
points.
(9) Divide the mean C2H6 concentration by the
reference concentration of C2H6, converted to a
C1 basis and adjusted for water content, if necessary. The
result is the combined C2H6 response factor and
penetration fraction, RFPFC2H6[NMC-FID]. Use this combined
C2H6 response factor and
C2H6 penetration fraction and the product of the
CH4 response factor and CH4 penetration fraction,
RFPFCH4[NMC-FID], set to 1.0 in emission calculations
according to Sec. 1065.660(b)(2)(i) or (d)(1)(i) or Sec. 1065.665, as
applicable. If you are generating mixtures as a function of molar water
concentration, follow the guidance in paragraph (g) of this section and
repeat the steps in paragraphs (d)(6) to (9) of this section until all
setpoints have been completed. Use RFPFC2H6[NMC-FID] at the
different setpoints to create a functional relationship between
RFPFC2H6[NMC-FID] and molar water concentration, downstream
of the last sample dryer if any sample dryers are present. Use this
functional relationship to determine the combined response factor and
penetration fraction during the emission test.
(10) If required by this paragraph (d), repeat the steps in
paragraphs (d)(6) through (9) of this section, but with the
CH4 analytical gas mixture instead of
C2H6 and determine RFPFCH4[NMC-FID]
instead.
(11) Use this combined C2H6 response factor
and penetration fraction, RFPFC2H6[NMC-FID], and this
combined CH4 response factor and penetration fraction,
RFPFCH4[NMC-FID], in emission calculations according to
Sec. Sec. 1065.660(b)(2)(i) and 1065.660(d)(1)(i).
(e) Procedure for a FID calibrated with propane, bypassing the NMC.
If you use a single FID for THC and CH4 determination with
an NMC that is calibrated with propane, C3H8, by
bypassing the NMC, determine its penetration fractions,
PFC2H6[NMC-FID] and PFCH4[NMC-FID], as follows:
(1) Select CH4 and C2H6 analytical
gas mixtures and ensure that both mixtures meet the specifications of
Sec. 1065.750. Select a CH4 concentration that you would
use for spanning the FID during emission testing and select a
C2H6 concentration that is typical of the peak
NMHC concentration expected at the hydrocarbon standard and the
C2H6 concentration typical of the peak total
hydrocarbon (THC) concentration expected at the hydrocarbon standard or
equal to the THC analyzer's span value. For CH4 analyzers
with multiple ranges, perform this procedure on the highest range used
for emission testing.
(2) Start and operate the NMC according to the manufacturer's
[[Page 26144]]
instructions, including any temperature optimization.
(3) Confirm that the FID analyzer meets all the specifications of
Sec. 1065.360.
(4) Start and operate the FID analyzer according to the
manufacturer's instructions.
(5) Zero and span the FID as you would during emission testing.
Span the FID by bypassing the NMC and by using
C3H8 span gas. Note that you must span the FID on
a C1 basis. For example, if your span gas has a propane
reference value of 100 [mu]mol/mol, the correct FID response to that
span gas is 300 [mu]mol/mol because there are three carbon atoms per
C3H8 molecule.
(6) Introduce the C2H6 analytical gas mixture
upstream of the NMC. Use good engineering judgment to address the
effect of hydrocarbon contamination if your point of introduction is
vastly different from the point of zero/span gas introduction.
(7) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the NMC and to account for
the analyzer's response.
(8) While the analyzer measures a stable concentration, record 30
seconds of sampled data. Calculate the arithmetic mean of these data
points.
(9) Reroute the flow path to bypass the NMC, introduce the
C2H6 analytical gas mixture, and repeat the steps
in paragraphs (e)(7) through (8) of this section.
(10) Divide the mean C2H6 concentration
measured through the NMC by the mean C2H6
concentration measured after bypassing the NMC. The result is the
C2H6 penetration fraction,
PFC2H6[NMC-FID]. Use this penetration fraction according to
Sec. 1065.660(b)(2)(ii), Sec. 1065.660(d)(1)(ii), or Sec. 1065.665,
as applicable.
(11) Repeat the steps in paragraphs (e)(6) through (10) of this
section, but with the CH4 analytical gas mixture instead of
C2H6. The result will be the CH4
penetration fraction, PFCH4[NMC-FID]. Use this penetration
fraction according to Sec. 1065.660(b)(2)(ii) or Sec. 1065.665, as
applicable.
(f) Procedure for a FID calibrated with CH4, bypassing the NMC. If
you use a FID with an NMC that is calibrated with CH4, by
bypassing the NMC, determine its combined C2H6
response factor and penetration fraction, RFPFC2H6[NMC-FID],
as well as its CH4 penetration fraction,
PFCH4[NMC-FID], as follows:
(1) Select CH4 and C2H6 analytical
gas mixtures and ensure that both mixtures meet the specifications of
Sec. 1065.750. Select a CH4 concentration that you would
use for spanning the FID during emission testing and select a
C2H6 concentration that is typical of the peak
NMHC concentration expected at the hydrocarbon standard or equal to the
THC analyzer's span value. For CH4 analyzers with multiple
ranges, perform this procedure on the highest range used for emission
testing.
(2) Start and operate the NMC according to the manufacturer's
instructions, including any temperature optimization.
(3) Confirm that the FID analyzer meets all the specifications of
Sec. 1065.360.
(4) Start and operate the FID analyzer according to the
manufacturer's instructions.
(5) Zero and span the FID as you would during emission testing.
Span the FID by bypassing the NMC and by using CH4 span gas.
(6) Introduce the C2H6 analytical gas mixture
upstream of the NMC. Use good engineering judgment to address the
effect of hydrocarbon contamination if your point of introduction is
vastly different from the point of zero/span gas introduction.
(7) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the NMC and to account for
the analyzer's response.
(8) While the analyzer measures a stable concentration, record 30
seconds of sampled data. Calculate the arithmetic mean of these data
points.
(9) Divide the mean C2H6 concentration by the
reference concentration of C2H6, converted to a
C1 basis. The result is the combined
C2H6 response factor and
C2H6 penetration fraction,
RFPFC2H6[NMC-FID]. Use this combined
C2H6 response factor and penetration fraction
according to Sec. 1065.660(b)(2)(iii) or (d)(1)(iii) or Sec.
1065.665, as applicable.
(10) Introduce the CH4 analytical gas mixture upstream
of the NMC. Use good engineering judgment to address the effect of
hydrocarbon contamination if your point of introduction is vastly
different from the point of zero/span gas introduction.
(11) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the NMC and to account for
the analyzer's response.
(12) While the analyzer measures a stable concentration, record 30
seconds of sampled data. Calculate the arithmetic mean of these data
points.
(13) Reroute the flow path to bypass the NMC, introduce the
CH4 analytical gas mixture, and repeat the steps in
paragraphs (e)(11) and (12) of this section.
(14) Divide the mean CH4 concentration measured through
the NMC by the mean CH4 concentration measured after
bypassing the NMC. The result is the CH4 penetration
fraction, PFCH4[NMC-FID]. Use this CH4
penetration fraction according to Sec. 1065.660(b)(2)(iii) or
(d)(1)(iii) or Sec. 1065.665, as applicable.
(g) Test gas humidification. If you are generating gas mixtures as
a function of the molar water concentration in the raw or diluted
exhaust according to paragraph (d) of this section, then create a
humidified test gas by bubbling the analytical gas mixture that meets
the specifications in Sec. 1065.750 through distilled H2O
in a sealed vessel or use a device that introduces distilled
H2O as vapor into a controlled gas flow. Determine
H2O concentration as an average value over intervals of at
least 30 seconds. We recommend that you design your system so the wall
temperatures in the transfer lines, fittings, and valves from the point
where the mole fraction of H2O in the humidified calibration
gas, xH2Oref, is measured to the analyzer are at least 5
[deg]C above the local calibration gas dewpoint. Verify the humidity
generator's uncertainty upon initial installation, within 370 days
before verifying response factors and penetration fractions, and after
major maintenance. Use the uncertainties from the calibration of the
humidity generator's measurements and follow NIST Technical Note 1297
(incorporated by reference, see Sec. 1065.1010) to verify that the
amount of H2O in xH2Oref is determined within
3% uncertainty, UxH2O, for one of the options
described in Sec. 1065.750(a)(6)(i) or (ii). If the humidity generator
requires assembly before use, after assembly follow the instrument
manufacturer's instructions to check for leaks.
(1) If the sample does not pass through a dryer during emission
testing, generate at least five different H2O concentrations
that cover the range from less than the minimum expected to greater
than the maximum expected water concentration during testing. Use good
engineering judgment to determine the target concentrations.
(2) If the sample passes through a dryer during emission testing,
humidify your test gas to an H2O level at or above the level
determined in Sec. 1065.145(e)(2) for that dryer and determine a
single wet analyzer response to the dehumidified sample.
0
115. Amend Sec. 1065.366 by revising paragraph (b) to read as follows:
Sec. 1065.366 Interference verification for FTIR analyzers.
* * * * *
(b) Measurement principles. Certain species can interfere with
analyzers by
[[Page 26145]]
causing a response similar to the target analyte. If the analyzer uses
compensation algorithms that utilize measurements of other gases to
meet this interference verification, simultaneously conduct these other
measurements to test the compensation algorithms during the analyzer
interference verification.
* * * * *
0
116. Amend Sec. 1065.375 by revising paragraphs (b) and (d)(9) to read
as follows:
Sec. 1065.375 Interference verification for N2O analyzers.
* * * * *
(b) Measurement principles. Certain species can positively
interfere with analyzers by causing a response similar to
N2O. If the analyzer uses compensation algorithms that
utilize measurements of other gases to meet this interference
verification, simultaneously conduct these other measurements to test
the compensation algorithms during the analyzer interference
verification.
* * * * *
(d) * * *
(9) You may also run interference procedures separately for
individual interference species. If the concentration of the
interference species used are higher than the maximum levels expected
during testing, you may scale down each observed interference value
(the arithmetic mean of 30 second data described in paragraph (d)(7) of
this section) by multiplying the observed interference by the ratio of
the maximum expected concentration value to the actual value used
during this procedure. You may run separate interference concentrations
of H2O (down to 0.025 mol/mol H2O content) that
are lower than the maximum levels expected during testing, but you must
scale up the observed H2O interference by multiplying the
observed interference by the ratio of the maximum expected
H2O concentration value to the actual value used during this
procedure. The sum of the scaled interference values must meet the
tolerance for combined interference as specified in paragraph (c) of
this section.
0
117. Add Sec. 1065.377 to read as follows:
Sec. 1065.377 Interference verification for NH3 analyzers.
(a) Scope and frequency. See Sec. 1065.277 to determine whether
you need to verify the amount of interference after initial analyzer
installation and after major maintenance.
(b) Measurement principles. Certain species can positively
interfere with analyzers by causing a response similar to
NH3. If the analyzer uses compensation algorithms that
utilize measurements of other gases to meet this interference
verification, simultaneously conduct these other measurements to test
the compensation algorithms during the analyzer interference
verification.
(c) System requirements. Analyzers must have combined interference
that is within (0.02.0) [mu]mol/mol.
(d) Procedure. Perform the interference verification as follows:
(1) Start, operate, zero, and span the NH3 analyzer as
you would before an emission test. If the sample is passed through a
dryer during emission testing, you may run this verification test with
the dryer if it meets the requirements of Sec. 1065.342. Operate the
dryer at the same conditions as you will for an emission test. You may
also run this verification test without the sample dryer.
(2) Create a humidified test gas using a multi component span gas
that incorporates the target interference species and meets the
specifications in Sec. 1065.750 and a humidity generator device that
introduces distilled H2O as vapor into a controlled gas
flow. If the sample does not pass through a dryer during emission
testing, humidify your test gas to an H2O level at or above
the maximum expected during emission testing. If the sample passes
through a dryer during emission testing, you must humidify your test
gas to an H2O level at or above the level determined in
Sec. 1065.145(e)(2) for that dryer. Use interference span gas
concentrations that are at least as high as the maximum expected during
testing.
(3) Introduce the humidified interference test gas into the sample
system. You may introduce it downstream of any sample dryer, if one is
used during testing.
(4) If the sample is not passed through a dryer during this
verification test, measure the H2O mole fraction,
xH2O, of the humidified interference test gas as close as
possible to the inlet of the analyzer. For example, measure dewpoint,
Tdew, and absolute pressure, ptotal, to calculate
xH2O. Verify that the H2O content meets the
requirement in paragraph (d)(2) of this section. If the sample is
passed through a dryer during this verification test, you must verify
that the H2O content of the humidified test gas downstream
of the vessel meets the requirement in paragraph (d)(2) of this section
based on either direct measurement of the H2O content (e.g.,
dewpoint and pressure) or an estimate based on the vessel pressure and
temperature. Use good engineering judgment to estimate the
H2O content. For example, you may use previous direct
measurements of H2O content to verify the vessel's level of
saturation.
(5) If a sample dryer is not used in this verification test, use
good engineering judgment to prevent condensation in the transfer
lines, fittings, or valves from the point where xH2O is
measured to the analyzer. We recommend that you design your system so
that the wall temperatures in the transfer lines, fittings, and valves
from the point where xH2O is measured to the analyzer are at
least 5 [deg]C above the local sample gas dewpoint.
(6) Allow time for the analyzer response to stabilize.
Stabilization time may include time to purge the transfer line and to
account for analyzer response.
(7) While the analyzer measures the sample's concentration, record
its output for 30 seconds. Calculate the arithmetic mean of this data.
When performed with all the gases simultaneously, this is the combined
interference.
(8) The analyzer meets the interference verification if the result
of paragraph (d)(7) of this section meets the tolerance in paragraph
(c) of this section.
(9) You may also run interference procedures separately for
individual interference species. If the concentration of the
interference species used are higher than the maximum levels expected
during testing, you may scale down each observed interference value
(the arithmetic mean of 30 second data described in paragraph (d)(7) of
this section) by multiplying the observed interference by the ratio of
the maximum expected concentration value to the actual value used
during this procedure. You may run separate interference concentrations
of H2O (down to 0.025 mol/mol H2O content) that
are lower than the maximum levels expected during testing, but you must
scale up the observed H2O interference by multiplying the
observed interference by the ratio of the maximum expected
H2O concentration value to the actual value used during this
procedure. The sum of the scaled interference values must meet the
tolerance for combined interference as specified in paragraph (c) of
this section.
0
118. Amend Sec. 1065.512 by revising paragraphs (b)(1) and (2) to read
as follows:
Sec. 1065.512 Duty cycle generation.
* * * * *
[[Page 26146]]
(b) * * *
(1) Engine speed for variable-speed engines. For variable-speed
engines, normalized speed may be expressed as a percentage between warm
idle speed, fnidle, and maximum test speed,
fntest, or speed may be expressed by referring to a defined
speed by name, such as ``warm idle,'' ``intermediate speed,'' or ``A,''
``B,'' or ``C'' speed. Section 1065.610 describes how to transform
these normalized values into a sequence of reference speeds,
fnref. Running duty cycles with negative or small normalized
speed values near warm idle speed may cause low-speed idle governors to
activate and the engine torque to exceed the reference torque even
though the operator demand is at a minimum. In such cases, we recommend
controlling the dynamometer so it gives priority to follow the
reference torque instead of the reference speed and let the engine
govern the speed. Note that the cycle-validation criteria in Sec.
1065.514 allow an engine to govern itself. This allowance permits you
to test engines with enhanced-idle devices, to simulate the effects of
transmissions such as automatic transmissions, and for engines with
speed derate intended to limit exhaust mass flowrate.
(i) For example, an enhanced-idle device might be an idle speed
value that is normally commanded only under cold-start conditions to
quickly warm up the engine and aftertreatment devices. In this case,
negative and very low normalized speeds will generate reference speeds
below this higher enhanced-idle speed. Control the dynamometer so it
gives priority to follow the reference torque, controlling the operator
demand so it gives priority to follow reference speed and let the
engine govern the speed when the operator demand is at minimum.
You may do either of the following when using enhanced-idle
devices:
(A) While running an engine where the ECM broadcasts an enhanced-
idle speed that is above the denormalized speed, use the broadcast
speed as the reference speed. Use these new reference points for duty-
cycle validation. This does not affect how you determine denormalized
reference torque in paragraph (b)(2) of this section.
(B) If an ECM broadcast signal is not available, perform one or
more practice cycles to determine the enhanced-idle speed as a function
of cycle time. Generate the reference cycle as you normally would but
replace any reference speed that is lower than the enhanced-idle speed
with the enhanced-idle speed. This does not affect how you determine
denormalized reference torque in paragraph (b)(2) of this section.
(ii) For example, an engine with power derate intended to limit
exhaust mass flowrate might include controls that reduce engine speed
under cold-start conditions, resulting in reduced exhaust flow that
assists other aftertreatment thermal management technologies (e.g.,
electric heater). In this case, normalized speeds will generate
reference speeds above this engine speed derate. Control the
dynamometer so it gives priority to follow the reference speed,
controlling the operator demand so it gives priority to follow
reference torque. You may do one of the following, as specified, when
using engine derate devices:
(A) While running an engine where the ECM broadcasts engine derate
speed that is below the denormalized speed, use the broadcast speed as
the reference speed. Use these new reference points for duty-cycle
validation. This does not affect how you determine denormalized
reference torque in paragraph (b)(2) of this section.
(B) If an ECM broadcast signal is not available, perform one or
more practice cycles to determine the engine derate speed as a function
of cycle time. Generate the reference cycle as you normally would but
replace any reference speed that is greater than the engine derate
speed with the engine derate speed. This does not affect how you
determine denormalized reference torque in paragraph (b)(2) of this
section.
(2) Engine torque for variable-speed engines. For variable-speed
engines, normalized torque is expressed as a percentage of the mapped
torque at the corresponding reference speed. Section 1065.610 describes
how to transform normalized torques into a sequence of reference
torques, Tref. Section 1065.610 also describes special
requirements for modifying transient duty cycles for variable-speed
engines intended primarily for propulsion of a vehicle with an
automatic or manual transmission. Section 1065.610 also describes under
what conditions you may command Tref greater than the
reference torque you calculated from a normalized duty cycle, which
permits you to command Tref values that are limited by a
declared minimum torque. For any negative torque commands, command
minimum operator demand and use the dynamometer to control engine speed
to the reference speed, but if reference speed is so low that the idle
governor activates, we recommend using the dynamometer to control
torque to zero, CITT, or a declared minimum torque as appropriate. Note
that you may omit power and torque points during motoring from the
cycle-validation criteria in Sec. 1065.514. Also, use the maximum
mapped torque at the minimum mapped speed as the maximum torque for any
reference speed at or below the minimum mapped speed.
* * * * *
0
119. Amend Sec. 1065.530 by revising paragraphs (b)(4), (9), and (11)
to read as follows:
Sec. 1065.530 Emission test sequence.
* * * * *
(b) * * *
(4) Pre-heat or pre-cool heat exchangers in the sampling system to
within their operating temperature tolerances for a test interval.
* * * * *
(9) Select gas analyzer ranges. You may automatically or manually
switch gas analyzer ranges during a test interval only if switching is
performed by changing the span over which the digital resolution of the
instrument is applied. During a test interval you may not switch the
gains of an analyzer's analog operational amplifier(s).
* * * * *
(11) We recommend that you verify gas analyzer responses after
zeroing and spanning by sampling a calibration gas that has a
concentration near one-half of the span gas concentration. Based on the
results and good engineering judgment, you may decide whether or not to
re-zero, re-span, or re-calibrate a gas analyzer before starting a test
interval.
* * * * *
0
120. Amend Sec. 1065.601 by revising paragraph (c)(1)(i) and removing
and reserving paragraph (c)(1)(ii) to read as follows:
Sec. 1065.601 Overview.
* * * * *
(c) * * *
(1) * * *
(i) ISO 8178-4 Section 9.1.6, NOX Correction for
Humidity and Temperature. See Sec. 1065.670 for approved methods for
humidity corrections.
(ii) [Reserved].
* * * * *
0
121. Amend Sec. 1065.602 by adding paragraph (m) to read as follows:
Sec. 1065.602 Statistics.
* * * * *
(m) Median. Determine median, M, as described in this paragraph
(m). Arrange the data points in the data set in increasing order where
the smallest value is ranked 1, the second-smallest value is ranked 2,
etc.
[[Page 26147]]
(1) For even numbers of data points:
(i) Determine the rank of the data point whose value is used to
determine the median as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.075
Where:
i = an indexing variable that represents the rank of the data point
whose value is used to determine the median.
N = the number of data points in the set.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.076
(ii) Determine the median as the average of the data point i and
the data point i + 1 as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.077
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.078
(2) For odd numbers of data points, determine the rank of the data
point whose value is the median and the corresponding median value as
follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.079
Where:
i = an indexing variable that represents the rank of the data point
whose value is the median.
N = the number of data points in the set.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.080
0
122. Amend Sec. 1065.655 by revising the section heading and
paragraphs (a), (b)(4), and (e)(4) introductory text to read as
follows:
Sec. 1065.655 Chemical balances of carbon-containing fuel, DEF,
intake air, and exhaust.
(a) General. Chemical balances of fuel, intake air, and exhaust may
be used to calculate flows, the amount of water in their flows, and the
wet concentration of constituents in their flows. Use the chemical
balance calculations in this section for carbon-containing fuels. For
fuels other than carbon-containing fuels use the chemical balance
calculations of section Sec. 1065.656. With one flow rate of either
fuel, intake air, or exhaust, you may use chemical balances to
determine the flows of the other two. For example, you may use chemical
balances along with either intake air or fuel flow to determine raw
exhaust flow. Note that chemical balance calculations allow measured
values for the flow rate of diesel exhaust fluid for engines with urea-
based selective catalytic reduction.
(b) * * *
(4) The amount of water in a raw or diluted exhaust flow,
xH2Oexh, when you do not measure the amount of water to
correct for the amount of water removed by a sampling system. Note that
you may not use the FTIR based water measurement method in Sec.
1065.257 to determine xH2Oexh. Correct for removed water
according to Sec. 1065.659.
* * * * *
(e) * * *
(4) Calculate [alpha], [beta], [gamma], and [delta] as described in
this paragraph (e)(4). If your fuel mixture contains fuels other than
carbon-containing fuel, calculate those fuels' mass fractions
wH, wC, wO, and wN as
described in Sec. 1065.656(d) and set the fuels' mass fraction
wS to zero. Calculate [alpha], [beta], [gamma], and [delta]
using the following equations:
* * * * *
0
123. Add Sec. 1065.656 to read as follows:
Sec. 1065.656 Chemical balances of fuels other than carbon-containing
fuel, DEF, intake air, and exhaust.
(a) General. Chemical balances of fuel, DEF, intake air, and
exhaust may be used to calculate flows, the amount of water in their
flows, and the wet concentration of constituents in their flows. Use
the chemical balance calculations in this section for fuels other than
carbon-containing fuels. For carbon-containing fuels, use the chemical
balance calculations in section Sec. 1065.655, including any dual-
fuels or flexible-fuels where one of the fuels contains carbon. With
one flow rate of either fuel, intake air, or exhaust, you may use
chemical balances to determine the flows of the other two. For example,
you may use chemical balances along with either intake air or fuel flow
to determine raw exhaust flow. Note that chemical balance calculations
allow measured values for the flow rate of diesel exhaust fluid for
engines with urea-based selective catalytic reduction.
(b) Procedures that require chemical balances. We require chemical
balances when you determine the following:
(1) A value proportional to total work, W when you choose to
determine brake-specific emissions as described in Sec. 1065.650(f).
(2) Raw exhaust molar flow rate either from measured intake air
molar flow rate or from fuel mass flow rate as described in paragraph
(f) of this section.
(3) Raw exhaust molar flow rate from measured intake air molar flow
rate and dilute exhaust molar flow rate as described in paragraph (g)
of this section.
(4) The amount of water in a raw or diluted exhaust flow,
xH2Oexh, when you do not measure the amount of water to
correct for the amount of water removed by a sampling system. Correct
for removed water according to Sec. 1065.659.
(5) The calculated total dilution air flow when you do not measure
dilution air flow to correct for background emissions as described in
Sec. 1065.667(c) and (d).
(c) Chemical balance procedure. The calculations for a chemical
balance involve a system of equations that require iteration. We
recommend using a computer to solve this system of equations. You must
guess the initial values of two of the following quantities: the amount
of water in the measured flow, xH2Oexhdry, the amount of
hydrogen in the measured flow, xH2exhdry, the fraction of
dilution air in diluted exhaust, xdil/exhdry, and the amount
of intake air required to produce actual combustion products per mole
of dry exhaust, xint/exhdry. You may use time-weighted mean
values of intake air humidity and dilution air humidity in the chemical
balance; as long as your intake air and dilution air humidities remain
within tolerances of 0.0025 mol/mol of their respective
mean values over the test interval. For each emission concentration, x,
and amount of water, xH2Oexh, you must determine their
completely dry concentrations, xdry and
xH2Oexhdry. You must also use your fuel mixture's atomic
carbon-to-hydrogen ratio, [tau], oxygen-to-hydrogen ratio, [phiv], and
nitrogen-to-hydrogen ratio, [omega]; you may optionally account for
diesel exhaust fluid (or other fluids injected into the exhaust), if
applicable. You may calculate [tau], [phiv], and [omega] based on
measured
[[Page 26148]]
fuel composition or based on measured fuel and diesel exhaust fluid (or
other fluids injected into the exhaust) composition together, as
described in paragraph (e) of this section. You may alternatively use
any combination of default values and measured values as described in
paragraph (e) of this section. Use the following steps to complete a
chemical balance:
(1) Convert your measured concentrations such as,
xH2Omeas, xO2meas, xH2meas,
xNOmeas, xNO2meas, xNH3meas, and
xH2Oint, to dry concentrations by dividing them by one minus
the amount of water present during their respective measurements; for
example: xH2Omeas, xH2OxO2meas,
xH2OxNOmeas, and xH2Oint. If the amount of water
present during a ``wet'' measurement is the same as an unknown amount
of water in the exhaust flow, xH2Oexh, iteratively solve for
that value in the system of equations. If you measure only total
NOX and not NO and NO2 separately, use good
engineering judgment to estimate a split in your total NOX
concentration between NO and NO2 for the chemical balances.
For example, if you measure emissions from a stoichiometric combustion
engine, you may assume all NOX is NO. For a lean-burn
combustion engine, you may assume that your molar concentration of
NOX, xNOX, is 75% NO and 25% NO2. For
NO2 storage aftertreatment systems, you may assume
xNOX is 25% NO and 75% NO2. Note that for
calculating the mass of NOX emissions, you must use the
molar mass of NO2 for the effective molar mass of all
NOX species, regardless of the actual NO2
fraction of NOX.
(2) Enter the equations in paragraph (c)(4) of this section into a
computer program to iteratively solve for xH2Oexhdry,
xH2exhdry, xdil/exhdry, and
xint/exhdry. Use good engineering judgment to guess initial
values for xH2Oexhdry, xH2exhdry,
xdil/exhdry, and xint/exhdry. We recommend
guessing an initial amount of water that is about twice the amount of
water in your intake or dilution air. We recommend guessing an initial
amount of hydrogen of 0 mol/mol. We recommend guessing an initial
xint/exhdry of 1 mol/mol. We also recommend guessing an
initial, xdil/exhdry of 0.8 mol/mol. Iterate values in the
system of equations until the most recently updated guesses are all
within 1% or 1 [mu]mol/mol, whichever is
larger, of their respective most recently calculated values.
(3) Use the following symbols and subscripts in the equations for
performing the chemical balance calculations in this paragraph (c):
Table 1 of Sec. 1065.656--Symbols and Subscripts for Chemical Balance
Equations
------------------------------------------------------------------------
------------------------------------------------------------------------
x[emission]meas.............. Amount of measured emission in the sample
at the respective gas analyzer.
x[emission]exh............... Amount of emission per dry mole of
exhaust.
x[emission]exhdry............ Amount of emission per dry mole of dry
exhaust.
xH2O[emission]meas........... Amount of H2O in sample at emission-
detection location; measure or estimate
these values according to Sec.
1065.145(e)(2).
xdil/exh..................... Amount of dilution gas or excess air per
mole of exhaust.
xdil/exhdry.................. amount of dilution gas and/or excess air
per mole of dry exhaust.
xHcombdry.................... Amount of hydrogen from fuel and any
injected fluids in the exhaust per mole
of dry exhaust.
xint/exhdry.................. Amount of intake air required to produce
actual combustion products per mole of
dry (raw or diluted) exhaust.
xraw/exhdry.................. Amount of undiluted exhaust, without
excess air, per mole of dry (raw or
diluted) exhaust.
xCO2int...................... Amount of intake air CO2 per mole of
intake air.
xCO2intdry................... amount of intake air CO2 per mole of dry
intake air; you may use xCO2intdry = 375
[micro]mol/mol, but we recommend
measuring the actual concentration in
the intake air.
xH2Oint...................... Amount of H2O in the intake air, based on
a humidity measurement of intake air.
xH2Ointdry................... Amount of intake air H2O per mole of dry
intake air.
xO2int....................... Amount of intake air O2 per mole of
intake air.
xCO2dil...................... Amount of dilution gas CO2 per mole of
dilution gas.
xCO2dildry................... Amount of dilution gas CO2 per mole of
dry dilution gas; if you use air as
diluent, you may use xCO2dildry = 375
[micro]mol/mol, but we recommend
measuring the actual concentration in
the dilution gas.
xH2Odil...................... Amount of dilution gas H2O per mole of
dilution gas.
xH2Odildry................... Amount of dilution gas H2O per mole of
dry dilution gas.
t............................ Atomic carbon-to-hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
f............................ Atomic oxygen-to-hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
v............................ Atomic nitrogen-to-hydrogen ratio of the
fuel (or mixture of test fuels) and any
injected fluids.
------------------------------------------------------------------------
(4) Use the equations specified in this section to iteratively
solve for xint/exhdry, xdil/exhdry,
xH2exhdry, and xH2Oexhdry. For some quantities
multiple equations are provided. The calculation of xO2exhdry is only
required when xO2meas is measured. The calculation of
xNH3exhdry is only required for engines that use ammonia as
fuel, for all other fuels xNH3exhdry may be set to zero.
[[Page 26149]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.081
[GRAPHIC] [TIFF OMITTED] TP27AP23.082
[GRAPHIC] [TIFF OMITTED] TP27AP23.083
[[Page 26150]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.084
[GRAPHIC] [TIFF OMITTED] TP27AP23.085
(5) Depending on your measurements, use the equations and guess the
quantities specified in Table 2 of this section:
[[Page 26151]]
Table 2 of Sec. 1065.656--Chemical Balance Equations for Different
Measurements
------------------------------------------------------------------------
When measuring Guess Calculate
------------------------------------------------------------------------
(i) xO2meas and xH2Omeas...... xint/exhdry and (A) xH2exhdry using
xH2exhdry. Eq. 1065.656-4
(B) xH2Oexhdry using
Eq. 1065.656-6
(C) xHcombdry using
Eq. 1065.656-8
(D) xO2exhdry using
Eq. 1065.656-14
(E) xraw/exhdry using
Eq. 1065.656-15
(ii) xO2meas and xH2meas...... xint/exhdry and (A) xH2exhdry using
xH2Oexhdry. Eq. 1065.656-3
(B) xH2Oexhdry using
Eq. 1065.656-7
(C) xHcombdry using
Eq. 1065.656-9
(D) xO2exhdry using
Eq. 1065.656-14
(E) xraw/exhdry using
Eq. 1065.656-15
(iii) xH2Omeas and xH2meas.... xint/exhdry and (A) xH2exhdry using
xdil/exhdry. Eq. 1065.656-3
(B) xH2Oexhdry using
Eq. 1065.656-6
(C) xHcombdry using
Eq. 1065.656-8
(D) xraw/exhdry using
Eq. 1065.656-16
------------------------------------------------------------------------
(d) Mass fractions of fuel. Determine the mass fractions of fuel,
wH, wC, wO, and wN, based
on the fuel properties as determined in paragraph (e) of this section,
optionally accounting for diesel exhaust fluid's contribution to [tau],
[phiv], and [omega], or other fluids injected into the exhaust, if
applicable (for example, the engine is equipped with an emission
control system that utilizes DEF). Calculate wH,
wC, wO, and N using the following
equations:
[GRAPHIC] [TIFF OMITTED] TP27AP23.086
Where:
wH = hydrogen mass fraction of the fuel (or mixture of
test fuels) and any injected fluids.
wC = carbon mass fraction of the fuel (or mixture of test
fuels) and any injected fluids.
wO = oxygen mass fraction of the fuel (or mixture of test
fuels) and any injected fluids.
wN = nitrogen mass fraction of the fuel (or mixture of
test fuels) and any injected fluids.
MH = molar mass of hydrogen.
[tau] = atomic carbon-to- hydrogen ratio of the fuel (or mixture of
test fuels) and any injected fluids.
MC = molar mass of carbon.
[phiv] = atomic oxygen-to-hydrogen ratio of the fuel (or mixture of
test fuels) and any injected fluids.
MO = molar mass of oxygen.
[omega] = atomic sulfur-to-hydrogen ratio of the fuel (or mixture of
test fuels) and any injected fluids.
MN = molar mass of nitrogen.
(e) Fuel and diesel exhaust fluid composition. Determine fuel and
diesel exhaust fluid composition represented by [tau], [phiv], and
[omega], as described in this paragraph (e). When using measured fuel
or diesel exhaust fluid properties, you must determine values for
[tau], [phiv], and [omega] in all cases. If you determine compositions
based on measured values and the default value listed in Table 3 of
this section is zero, you may set [tau], [phiv], and [omega] to zero;
otherwise determine [tau], [phiv], and [omega] based on measured
values. Determine elemental mass fractions and values for [tau],
[phiv], and [omega] as follows:
(1) For fuel and diesel exhaust fluid, use the default values for
[tau], [phiv], and [omega] in Table 3 of this section, or use good
engineering judgment to determine those values based on measurement.
(2) For nonconstant fuel mixtures, you must account for the varying
proportions of the different fuels. This paragraph (e)(2) generally
applies for dual-fuel and flexible-fuel engines, but it also applies if
diesel exhaust fluid is injected in a way that is not strictly
proportional to fuel flow. Account for these varying concentrations
either with a batch measurement that provides averaged values to
represent the test interval, or by analyzing data from continuous mass
rate measurements. Application of average values from a batch
measurement generally applies to
[[Page 26152]]
situations where one fluid is a minor component of the total fuel
mixture; consistent with good engineering judgment.
(4) Calculate [tgr], [phi] and [ohgr] using the following
equations;
[GRAPHIC] [TIFF OMITTED] TP27AP23.087
[GRAPHIC] [TIFF OMITTED] TP27AP23.088
Where:
N = total number of fuels and injected fluids over the duty cycle.
j = an indexing variable that represents one fuel or injected fluid,
starting with j = 1.
mj = the mass flow rate of the fuel or any injected fluid j. For
applications using a single fuel and no DEF fluid, set this value to
1. For batch measurements, divide the total mass of fuel over the
test interval duration to determine a mass rate.
wHj = hydrogen mass fraction of fuel or any injected
fluid j.
wCj = carbon mass fraction of fuel or any injected fluid
j.
wOj = oxygen mass fraction of fuel or any injected fluid
j.
wNj = nitrogen mass fraction of fuel or any injected
fluid j.
(4) Table 3 follows:
Table 3 of Sec. 1065.656-Default Values of [tau], [phiv], and [omega]
------------------------------------------------------------------------
Atomic carbon, oxygen, and
Fuel or injected fluid nitrogen-to-hydrogen ratios
HC[tau]O[phiv]N[omega]
------------------------------------------------------------------------
Hydrogen.............................. HC0O0N0
Ammonia............................... HC0O0N0.333
Diesel exhaust fluid.................. HC0.056O0.444N0.112
------------------------------------------------------------------------
(f) Calculated raw exhaust molar flow rate from measured intake air
molar flow rate or fuel mass flow rate. You may calculate the raw
exhaust molar flow rate from which you sampled emissions,
nexh, based on the measured intake air molar flow rate,
nint, or the measured fuel mass flow rate, mfuel,
and the values calculated using the chemical balance in paragraph (c)
of this section. The chemical balance must be based on raw exhaust gas
concentrations. Solve for the chemical balance in paragraph (c) of this
section at the same frequency that you update and record
nint or mfuel. For laboratory tests, calculating
raw exhaust molar flow rate using measured fuel mass flow rate is valid
only for steady-state testing. See Sec. 1065.915(d)(5)(iv) for
application to field testing.
(1) Crankcase flow rate. If engines are not subject to crankcase
controls under the standard-setting part, you may calculate raw exhaust
flow based on nint or mfuel using one of the
following:
(i) You may measure flow rate through the crankcase vent and
subtract it from the calculated exhaust flow.
(ii) You may estimate flow rate through the crankcase vent by
engineering analysis as long as the uncertainty in your calculation
does not adversely affect your ability to show that your engines comply
with applicable emission standards.
(iii) You may assume your crankcase vent flow rate is zero.
(2) Intake air molar flow rate calculation. Calculate
nexh based on nint using the following equation:
[GRAPHIC] [TIFF OMITTED] TP27AP23.089
Where:
nexh = raw exhaust molar flow rate from which you
measured emissions.
nint = intake air molar flow rate including humidity in
intake air.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.090
(3) Fluid mass flow rate calculation. This calculation may be used
only for steady-state laboratory testing. See Sec. 1065.915(d)(5)(iv)
for application to field testing. Calculate nexh based on mj
using the following equation:
[[Page 26153]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.091
Where:
nexh = raw exhaust molar flow rate from which you
measured emissions.
j = an indexing variable that represents one fuel or injected fluid,
starting with j = 1.
N = total number of fuels and injected fluids over the duty cycle.
mj = the mass flow rate of the fuel or any injected fluid j.
wHf = hydrogen mass fraction of the fuel and any injected
fluid j.
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.092
(g) Calculated raw exhaust molar flow rate from measured intake air
molar flow rate, dilute exhaust molar flow rate, and dilute chemical
balance. You may calculate the raw exhaust molar flow rate,
nexh, based on the measured intake air molar flow rate,
nint, the measured dilute exhaust molar flow rate,
ndexh, and the values calculated using the chemical balance
in paragraph (c) of this section. Note that the chemical balance must
be based on dilute exhaust gas concentrations. For continuous-flow
calculations, solve for the chemical balance in paragraph (c) of this
section at the same frequency that you update and record
nint and ndexh. This calculated ndexh
may be used for the PM dilution ratio verification in Sec. 1065.546;
the calculation of dilution air molar flow rate in the background
correction in Sec. 1065.667; and the calculation of mass of emissions
in Sec. 1065.650(c) for species that are measured in the raw exhaust.
(1) Crankcase flow rate. If engines are not subject to crankcase
controls under the standard-setting part, calculate raw exhaust flow as
described in paragraph (f)(1) of this section.
(2) Dilute exhaust and intake air molar flow rate calculation.
Calculate nexh as follows:
[GRAPHIC] [TIFF OMITTED] TP27AP23.093
Example:
nint = 7.930 mol/s
xraw/exhdry = 0.1544 mol/mol
xint/exhdry = 0.1451 mol/mol
xH2Oexh = 32.46 mmol/mol = 0.03246 mol/mol
ndexh = 49.02 mol/s
nexh = (0.1544 -0.1451) [middot] (1 - 0.03246) [middot]
49.02 + 7.930 = 0.4411 + 7.930 = 8.371 mol/s
0
124. Amend Sec. 1065.660 by revising paragraphs (b)(2) and (3)
introductory text, (c)(1)(ii) and (2) introductory text, (d), and (e)
to read as follows:
Sec. 1065.660 THC, NMHC, NMNEHC, CH4, and C2H6 determination.
* * * * *
(b) * * *
(2) For a nonmethane cutter (NMC), calculate xNMHC using
the NMC's penetration fractions, response factors, and/or combined
penetration fractions and response factors as described in Sec.
1065.365, the THC FID's CH4 response factor,
RFCH4[THC-FID], from Sec. 1065.360, the initial THC
contamination and dry-to-wet corrected THC concentration,
xTHC[THC-FID]cor, as determined in paragraph (a) of this
section, and the dry-to-wet corrected CH4 concentration,
xTHC[NMC-FID]cor, optionally corrected for initial THC
contamination as determined in paragraph (a) of this section.
(i) Use the following equation for an NMC configured as described
in Sec. 1065.365(d):
[GRAPHIC] [TIFF OMITTED] TP27AP23.094
[[Page 26154]]
Where:
xNMHC = concentration of NMHC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the NMC FID during sampling through the NMC.
RFCH4[THC-FID] = response factor of THC FID to
CH4, according to Sec. 1065.360(d).
RFPFC2H6[NMC-FID] = NMC combined
C2H6 response factor and penetration fraction,
according to Sec. 1065.365(d).
RFPFCH4[NMC-FID] = NMC combined CH4 response
factor and penetration fraction, according to Sec. 1065.365(d).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.095
(ii) Use the following equation for penetration fractions
determined using an NMC configuration as outlined in Sec. 1065.365(e):
[GRAPHIC] [TIFF OMITTED] TP27AP23.096
Where:
xNMHC = concentration of NMHC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
PFCH4[NMC-FID] = NMC CH4 penetration fraction,
according to Sec. 1065.365(e).
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the THC FID during sampling through the NMC.
PFC2H6[NMC-FID] = NMC C2H6
penetration fraction, according to Sec. 1065.365(e).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.097
(iii) Use the following equation for an NMC configured as described
in Sec. 1065.365(f)Sec. :
[GRAPHIC] [TIFF OMITTED] TP27AP23.098
Where:
xNMHC = concentration of NMHC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
PFCH4[NMC-FID] = NMC CH4 penetration fraction,
according to Sec. 1065.365(f).
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the THC FID during sampling through the NMC.
[[Page 26155]]
RFPFC2H6[NMC-FID] = NMC combined
C2H6 response factor and penetration fraction,
according to Sec. 1065.365(f).
RFCH4[THC-FID] = response factor of THC FID to
CH4, according to Sec. 1065.360(d).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.099
(3) For a GC-FID or FTIR, calculate xNMHC using the THC analyzer's
CH4 response factor, RFCH4[THC-FID], from Sec.
1065.360, and the initial THC contamination and dry-to-wet corrected
THC concentration, xTHC[THC-FID]cor, as determined in
paragraph (a) of this section as follows:
* * * * *
(c) * * *
(1) * * *
(ii) If the content of your fuel test contains at least 0.010 mol/
mol of C2H6, you may omit the calculation of
NMNEHC concentration and calculate the mass of NMNEHC as described in
Sec. 1065.650(c)(6)(ii).
(2) For a GC-FID, NMC FID, or FTIR, calculate xNMNEHC
using the THC analyzer's CH4 response factor,
RFCH4[THC-FID], and C2H6 response
factor, RFC2H6[THC-FID], from Sec. 1065.360, the initial
contamination and dry-to-wet corrected THC concentration,
xTHC[THC-FID]cor, as determined in paragraph (a) of this
section, the dry-to-wet corrected CH4 concentration,
xCH4, as determined in paragraph (d) of this section, and
the dry-to-wet corrected C2H6 concentration,
xC2H6, as determined in paragraph (e) of this section as
follows:
* * * * *
(d) CH4 determination. Use one of the following methods to
determine methane (CH4) concentration, xCH4:
(1) For a nonmethane cutter (NMC), calculate xCH4 using
the NMC's penetration fractions, response factors, and/or combined
penetration fractions and response factors as described in Sec.
1065.365, the THC FID's CH4 response factor,
RFCH4[THC-FID], from Sec. 1065.360, the initial THC
contamination and dry-to-wet corrected THC concentration,
xTHC[THC-FID]cor, as determined in paragraph (a) of this
section, and the dry-to-wet corrected CH4 concentration,
xTHC[NMC-FID]cor, optionally corrected for initial THC
contamination as determined in paragraph (a) of this section.
(i) Use the following equation for an NMC configured as described
in Sec. 1065.365(d):
[GRAPHIC] [TIFF OMITTED] TP27AP23.100
Where:
xCH4 = concentration of CH4.
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the NMC FID during sampling through the NMC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
RFPFC2H6[NMC-FID] = NMC combined
C2H6 response factor and penetration fraction,
according to Sec. 1065.365(d).
RFCH4[THC-FID] = response factor of THC FID to
CH4, according to Sec. 1065.360(d).
RFPFCH4[NMC-FID] = NMC combined CH4 response
factor and penetration fraction, according to Sec. 1065.365(d).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.101
(ii) Use the following equation for an NMC configured as described
in Sec. 1065.365(e):
[[Page 26156]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.102
Where:
xCH4 = concentration of CH4.
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the NMC FID during sampling through the NMC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
PFC2H6[NMC-FID] = NMC C2H6
penetration fraction, according to Sec. 1065.365(e).
RFCH4[THC-FID] = response factor of THC FID to
CH4, according to Sec. 1065.360(d).
PFCH4[NMC-FID] = NMC CH4 penetration fraction,
according to Sec. 1065.365(e).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.103
(iii) Use the following equation for an NMC configured as described
in Sec. 1065.365(f):
[GRAPHIC] [TIFF OMITTED] TP27AP23.104
Where:
xCH4 = concentration of CH4.
xTHC[NMC-FID]cor = concentration of THC, initial THC
contamination (optional) and dry-to-wet corrected, as measured by
the NMC FID during sampling through the NMC.
xTHC[THC-FID]cor = concentration of THC, initial THC
contamination and dry-to-wet corrected, as measured by the THC FID
during sampling while bypassing the NMC.
RFPFC2H6[NMC-FID] = the combined
C2H6 response factor and penetration fraction
of the NMC, according to Sec. 1065.365(f).
PFCH4[NMC-FID] = NMC CH4 penetration fraction,
according to Sec. 1065.365(f).
RFCH4[THC-FID] = response factor of THC FID to
CH4, according to Sec. 1065.360(d).
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.105
(2) For a GC-FID or FTIR, xCH4 is the actual dry-to-wet
corrected CH4 concentration as measured by the analyzer.
(e) C2H6 determination. For a GC-FID or FTIR, xC2H6 is
the C1-equivalent, dry-to-wet corrected
C2H6 concentration as measured by the analyzer.
0
125. Amend Sec. 1065.670 by revising paragraphs (a) introductory text
and (b) introductory text to read as follows:
Sec. 1065.670 NOX intake-air humidity and temperature corrections.
* * * * *
(a) For compression-ignition engines operating on carbon-containing
fuels and lean-burn combustion engines operating on fuels other than
carbon-containing fuels, correct for intake-air humidity using the
following equation:
* * * * *
(b) For spark-ignition engines operating on carbon-containing fuels
and stoichiometric combustion engines operating on fuels other than
carbon-
[[Page 26157]]
containing fuels, correct for intake-air humidity using the following
equation:
* * * * *
0
126. Amend Sec. 1065.750 by revising paragraph (a)(1)(ii) and adding
paragraph (a)(6) to read as follows:
Sec. 1065.750 Analytical gases.
* * * * *
(a) * * *
(1) * * *
(ii) Contamination as specified in the following table:
Table 1 of Sec. 1065.750--General Specifications for Purified Gases
\a\
------------------------------------------------------------------------
Constituent Purified air Purified N2
------------------------------------------------------------------------
THC (C1-equivalent)........... <=0.05 [mu]mol/mol.... <=0.05 [mu]mol/
mol
CO............................ <=1 [mu]mol/mol....... <=1 [mu]mol/mol
CO2........................... <=10 [mu]mol/mol...... <=10 [mu]mol/mol
O2............................ 0.205 to 0.215 mol/mol <=2 [mu]mol/mol
NOX........................... <=0.02 [mu]mol/mol.... <=0.02 [mu]mol/
mol
N2O \b\....................... <=0.02 [mu]mol/mol.... <=0.02 [mu]mol/
mol
H2 \c\........................ <=1 [mu]mol/mol....... <=1 [mu]mol/mol
NH3 \d\....................... <=1 [mu]mol/mol....... <=1 [mu]mol/mol
H2O \e\....................... <=5 [mu]mol/mol....... <=5 [mu]mol/mol
------------------------------------------------------------------------
\a\ We do not require these levels of purity to be NIST-traceable.
\b\ The N2O limit applies only if the standard-setting part requires you
to report N2O or certify to an N2O standard.
\c\ The H2 limit only applies for testing with H2 fuel.
\d\ The NH3 limit only applies for testing with NH3 fuel.
\e\ The H2O limit only applies for water measurement according to Sec.
1065.257.
* * * * *
(6) If you measure H2O using an FTIR analyzer, generate
H2O calibration gases with a humidity generator using one of
the options in this paragraph (a)(6). Use good engineering judgment to
prevent condensation in the transfer lines, fittings, or valves from
the humidity generator to the FTIR analyzer. Design your system so the
wall temperatures in the transfer lines, fittings, and valves from the
point where the mole fraction of H2O in the humidified
calibration gas, xH2Oref, is measured to the analyzer are at
a temperature of (110 to 202) [deg]C. Calibrate the humidity generator
upon initial installation, within 370 days before verifying the
H2O measurement of the FTIR, and after major maintenance.
Use the uncertainties from the calibration of the humidity generator's
measurements and follow NIST Technical Note 1297 (incorporated by
reference, see Sec. 1065.1010) to verify that the amount of
H2O in the calibration gas, xH2Oref, is
determined within 3% uncertainty, UxH2O. If the
humidity generator requires assembly before use, after assembly follow
the instrument manufacturer's instructions to check for leaks. You may
generate the H2O calibration gas using one of the following
options:
(i) Bubble gas that meets the requirements of paragraph (a)(1) of
this section through distilled H2O in a sealed vessel.
Adjust the amount of H2O in the calibration gas by changing
the temperature of the H2O in the sealed vessel. Determine
absolute pressure, pabs, and dewpoint, Tdew, of
the humidified gas leaving the sealed vessel. Calculate the amount of
H2O in the calibration gas as described in Sec. 1065.645(a)
and (b). Calculate the uncertainty of the amount of H2O in
the calibration gas, UxH2O, using the following equations:
[GRAPHIC] [TIFF OMITTED] TP27AP23.106
[GRAPHIC] [TIFF OMITTED] TP27AP23.107
[GRAPHIC] [TIFF OMITTED] TP27AP23.108
[[Page 26158]]
Where:
[GRAPHIC] [TIFF OMITTED] TP27AP23.109
Example:
[GRAPHIC] [TIFF OMITTED] TP27AP23.110
(ii) Use a device that introduces a measured flow of distilled
H2O as vapor into a measured flow of gas that meets the
requirements of paragraph (a)(1) of this section. Determine the molar
flows of gas and H2O that are mixed to generate the
calibration gas.
(A) Calculate the amount of H2O in the calibration gas
as follows:
[[Page 26159]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.111
(B) Calculate the uncertainty of the amount of H2O in
the generated calibration gas, UxH2O, using the following
equations:
[GRAPHIC] [TIFF OMITTED] TP27AP23.112
[GRAPHIC] [TIFF OMITTED] TP27AP23.114
[GRAPHIC] [TIFF OMITTED] TP27AP23.115
Where:
[GRAPHIC] [TIFF OMITTED] TP27AP23.116
(C) The following example is a solution for UxH2O using
the equations in paragraph (c)(6)(B) of this section:
[[Page 26160]]
[GRAPHIC] [TIFF OMITTED] TP27AP23.117
[GRAPHIC] [TIFF OMITTED] TP27AP23.118
* * * * *
0
127. Amend Sec. 1065.1001 by:
0
a. Adding definitions of ``Carbon-containing fuel'', ``Lean-burn
engine'', and ``Neat'' in alphabetical order; and
0
b. Revising the definition for ``Rechargeable Energy Storage System
(RESS)''.
The additions and revisions read as follows:
Sec. 1065.1001 Definitions.
* * * * *
Carbon-containing fuel means an engine fuel that is characterized
by compounds containing carbon. For example, gasoline, diesel, alcohol,
liquefied petroleum gas, and natural gas are carbon-containing fuels.
* * * * *
Lean-burn engine means an engine with a nominal air fuel ratio
substantially leaner than stoichiometric. For example, diesel-fueled
engines are typically lean-burn engines, and gasoline-fueled engines
are lean-burn engines if they have an air-to-fuel mass ratio above
14.7:1.
* * * * *
Neat means fuel that is free from mixture or dilution with other
fuels. For example, hydrogen or natural gas fuel used without diesel
pilot fuel are neat.
* * * * *
Rechargeable Energy Storage System (RESS) means engine or equipment
components that store recovered energy for later use to propel the
vehicle or accomplish a different primary function. Examples of RESS
include the battery system or a hydraulic accumulator in a hybrid
vehicle.
* * * * *
0
128. Amend Sec. 1065.1005 by revising the entry for MNMNEHC
in Table 7 of paragraph (f)(2) to read as follows:
Sec. 1065.1005 Symbols, abbreviations, acronyms, and units of
measure.
* * * * *
(f) * * *
(2) * * *
Table 7 of Sec. 1065.1005--Molar Masses
----------------------------------------------------------------------------------------------------------------
g/mol (10-
Symbol Quantity 3[middot]kg[middot]mol-
1)
----------------------------------------------------------------------------------------------------------------
* * * * * * *
MNMNEHC........................................ effective C1 molar mass of nonmethane 13.875389
nonethane hydrocarbon\b\.
* * * * * * *
----------------------------------------------------------------------------------------------------------------
* * * * *
0
129. Amend Sec. 1065.1010 by revising paragraphs (a)(40) and (e)(2) to
read as follows:
Sec. 1065.1010 Incorporation by reference.
* * * * *
(a) * * *
(40) ASTM D6348-12[epsi]1, Standard Test Method for
Determination of Gaseous Compounds by Extractive Direct Interface
Fourier Transform Infrared (FTIR) Spectroscopy, approved February 1,
2012 (``ASTM D6348''), IBR approved for Sec. Sec. 1065.257(a),
1065.266(b), 1065.275(b), and 1065.277(b).
* * * * *
(e) * * *
(2) NIST Technical Note 1297, 1994 Edition, Guidelines for
Evaluating and Expressing the Uncertainty of NIST Measurement Results,
IBR approved for
[[Page 26161]]
Sec. Sec. 1065.365(g), 1065.750(a), and 1065.1001.
PART 1074--PREEMPTION OF STATE STANDARDS AND PROCEDURES FOR WAIVER
OF FEDERAL PREEMPTION FOR NONROAD ENGINES AND NONROAD VEHICLES
0
130. The authority citation for part 1074 continues to read as follows:
Authority: 42 U.S.C. 7401-7671q.
0
131. Amend Sec. 1074.10 by revising paragraph (b) and adding paragraph
(c) to read as follows:
Sec. 1074.10 Scope of preemption.
* * * * *
(b) States and localities are preempted from adopting or enforcing
standards or other requirements relating to the control of emissions
from new locomotives and new engines used in locomotives.
(c) For nonroad engines or vehicles other than those described in
paragraph (a) and (b) of this section, States and localities are
preempted from enforcing any standards or other requirements relating
to control of emissions from nonroad engines or vehicles except as
provided in subpart B of this part.
Sec. 1074.12 [Removed]
0
132. Remove Sec. 1074.12.
0
133. Amend Sec. 1074.101 by revising paragraph (a) to read as follows:
Sec. 1074.101 Procedures for California nonroad authorization
requests.
(a) California must request authorization from the Administrator to
enforce its adopted standards and other requirements relating to
control of emissions from nonroad engines or vehicles that are not
preempted by Sec. 1074.10(a) or (b). The request must include the
record on which the state rulemaking was based.
* * * * *
[FR Doc. 2023-07955 Filed 4-24-23; 8:45 am]
BILLING CODE 6560-50-P