Regulation of Fuels and Fuel Additives: Changes to Renewable Fuel Standard Program, 14670-14904 [2010-3851]
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14670
Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
ENVIRONMENTAL PROTECTION
AGENCY
40 CFR Part 80
[EPA–HQ–OAR–2005–0161; FRL–9112–3]
RIN 2060–A081
Regulation of Fuels and Fuel
Additives: Changes to Renewable Fuel
Standard Program
AGENCY: Environmental Protection
Agency (EPA).
ACTION: Final rule.
SUMMARY: Under the Clean Air Act
Section 211(o), as amended by the
Energy Independence and Security Act
of 2007 (EISA), the Environmental
Protection Agency is required to
promulgate regulations implementing
changes to the Renewable Fuel Standard
program. The revised statutory
requirements specify the volumes of
cellulosic biofuel, biomass-based diesel,
advanced biofuel, and total renewable
fuel that must be used in transportation
fuel. This action finalizes the
regulations that implement the
requirements of EISA, including the
cellulosic, biomass-based diesel,
advanced biofuel, and renewable fuel
standards that will apply to all gasoline
and diesel produced or imported in
2010. The final regulations make a
number of changes to the current
Renewable Fuel Standard program
while retaining many elements of the
compliance and trading system already
in place. This final rule also implements
the revised statutory definitions and
criteria, most notably the new
greenhouse gas emission thresholds for
renewable fuels and new limits on
renewable biomass feedstocks. This
rulemaking marks the first time that
greenhouse gas emission performance is
being applied in a regulatory context for
a nationwide program. As mandated by
the statute, our greenhouse gas emission
assessments consider the full lifecycle
emission impacts of fuel production
from both direct and indirect emissions,
including significant emissions from
land use changes. In carrying out our
lifecycle analysis we have taken steps to
ensure that the lifecycle estimates are
based on the latest and most up-to-date
science. The lifecycle greenhouse gas
assessments reflected in this rulemaking
represent significant improvements in
analysis based on information and data
received since the proposal. However,
we also recognize that lifecycle GHG
assessment of biofuels is an evolving
discipline and will continue to revisit
our lifecycle analyses in the future as
new information becomes available.
EPA plans to ask the National Academy
of Sciences for assistance as we move
forward. Based on current analyses we
have determined that ethanol from corn
starch will be able to comply with the
required greenhouse gas (GHG)
threshold for renewable fuel. Similarly,
biodiesel can be produced to comply
with the 50% threshold for biomassbased diesel, sugarcane with the 50%
threshold for advanced biofuel and
multiple cellulosic-based fuels with
their 60% threshold. Additional fuel
pathways have also been determined to
comply with their thresholds. The
assessment for this rulemaking also
indicates the increased use of renewable
fuels will have important
environmental, energy and economic
impacts for our Nation.
DATES: This final rule is effective on July
1, 2010, and the percentage standards
apply to all gasoline and diesel
produced or imported in 2010. The
incorporation by reference of certain
publications listed in the rule is
approved by the Director of the Federal
Register as of July 1, 2010.
ADDRESSES: EPA has established a
docket for this action under Docket ID
No. EPA–HQ–OAR–2005–0161. All
NAICS 1 codes
Category
Industry
Industry
Industry
Industry
Industry
Industry
Industry
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1 North
SIC 2 codes
324110
325193
325199
424690
424710
424720
454319
2911
2869
2869
5169
5171
5172
5989
documents in the docket are listed in
the https://www.regulations.gov Web
site. Although listed in the index, some
information is not publicly available,
e.g., confidential business information
(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.
Publicly available docket materials are
available either electronically through
https://www.regulations.gov or in hard
copy at the Air and Radiation Docket
and Information Center, EPA/DC, EPA
West, Room 3334, 1301 Constitution
Ave., NW., Washington, DC. The Public
Reading Room is open from 8:30 a.m. to
4:30 p.m., Monday through Friday,
excluding legal holidays. The telephone
number for the Public Reading Room is
(202) 566–1744, and the telephone
number for the Air Docket is (202) 566–
1742.
FOR FURTHER INFORMATION CONTACT: Julia
MacAllister, Office of Transportation
and Air Quality, Assessment and
Standards Division, Environmental
Protection Agency, 2000 Traverwood
Drive, Ann Arbor, MI 48105; Telephone
number: 734–214–4131; Fax number:
734–214–4816; E-mail address:
macallister.julia@epa.gov, or
Assessment and Standards Division
Hotline; telephone number (734) 214–
4636; E-mail address asdinfo@epa.gov.
SUPPLEMENTARY INFORMATION:
General Information
I. Does This Final Rule Apply to Me?
Entities potentially affected by this
final rule are those involved with the
production, distribution, and sale of
transportation fuels, including gasoline
and diesel fuel or renewable fuels such
as ethanol and biodiesel. Regulated
categories include:
Examples of potentially regulated entities
Petroleum Refineries.
Ethyl alcohol manufacturing.
Other basic organic chemical manufacturing.
Chemical and allied products merchant wholesalers.
Petroleum bulk stations and terminals.
Petroleum and petroleum products merchant wholesalers.
Other fuel dealers
American Industry Classification System (NAICS)
Industrial Classification (SIC) system code.
2 Standard
This table is not intended to be
exhaustive, but rather provides a guide
for readers regarding entities likely to be
regulated by this final action. This table
lists the types of entities that EPA is
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now aware could potentially be
regulated by this final action. Other
types of entities not listed in the table
could also be regulated. To determine
whether your activities would be
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regulated by this final action, you
should carefully examine the
applicability criteria in 40 CFR part 80.
If you have any questions regarding the
applicability of this final action to a
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particular entity, consult the person
listed in the preceding section.
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Outline of This Preamble
I. Executive Summary
A. Summary of New Provisions of the RFS
Program
1. Required Volumes of Renewable Fuel
2. Standards for 2010 and Effective Date for
New Requirements
a. 2010 Standards
b. Effective Date
3. Analysis of Lifecycle Greenhouse Gas
Emissions and Thresholds for Renewable
Fuels
a. Background and Conclusions
b. Fuel Pathways Considered and Key
Model Updates Since the Proposal
c. Consideration of Fuel Pathways Not Yet
Modeled
4. Compliance with Renewable Biomass
Provision
5. EPA-Moderated Transaction System
6. Other Changes to the RFS Program
B. Impacts of Increasing Volume
Requirements in the RFS2 Program
II. Description of the Regulatory Provisions
A. Renewable Identification Numbers
(RINs)
B. New Eligibility Requirements for
Renewable Fuels
1. Changes in Renewable Fuel Definitions
a. Renewable Fuel
b. Advanced Biofuel
c. Cellulosic Biofuel
d. Biomass-Based Diesel
e. Additional Renewable Fuel
f. Cellulosic Diesel
2. Lifecycle GHG Thresholds
3. Renewable Fuel Exempt From 20
Percent GHG Threshold
a. General Background of the Exemption
Requirement
b. Definition of Commenced Construction
c. Definition of Facility Boundary
d. Proposed Approaches and Consideration
of Comments
i. Comments on the Proposed Basic
Approach
ii. Comments on the Expiration of
Grandfathered Status
e. Final Grandfathering Provisions
i. Increases in Volume of Renewable Fuel
Produced at Grandfathered Facilities Due
to Expansion
ii. Replacements of Equipment
iii. Registration, Recordkeeping and
Reporting
4. New Renewable Biomass Definition and
Land Restrictions
a. Definitions of Terms
i. Planted Crops and Crop Residue
ii. Planted Trees and Tree Residue
iii. Slash and Pre-Commercial Thinnings
iv. Biomass Obtained From Certain Areas
at Risk From Wildfire
v. Algae
b. Implementation of Renewable Biomass
Requirements
i. Ensuring That RINs Are Generated Only
For Fuels Made From Renewable
Biomass
ii. Whether RINs Must Be Generated For
All Qualifying Renewable Fuel
c. Implementation Approaches for
Domestic Renewable Fuel
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i. Recordkeeping and Reporting for
Feedstocks
ii. Approaches for Foreign Producers of
Renewable Fuel
(1) RIN-Generating importers
(2) RIN-Generating foreign producers
iii. Aggregate Compliance Approach for
Planted Crops and Crop Residue From
Agricultural Land
(1) Analysis of Total Agricultural Land in
2007
(2) Aggregate Agricultural Land Trends
Over Time
(3) Aggregate Compliance Determination
d. Treatment of Municipal Solid Waste
(MSW)
C. Expanded Registration Process for
Producers and Importers
1. Domestic Renewable Fuel Producers
2. Foreign Renewable Fuel Producers
3. Renewable Fuel Importers
4. Process and Timing
D. Generation of RINs
1. Equivalence Values
2. Fuel Pathways and Assignment of D
Codes
a. Producers
b. Importers
c. Additional Provisions for Foreign
Producers
3. Facilities With Multiple Applicable
Pathways
4. Facilities That Co-Process Renewable
Biomass and Fossil Fuels
5. Facilities That Process Municipal Solid
Waste
6. RINless Biofuel
E. Applicable Standards
1. Calculation of Standards
a. How Are the Standards Calculated?
b. Standards for 2010
2. Treatment of Biomass-Based Diesel in
2009 and 2010
a. Shift in 2009 Biomass-Based Diesel
Compliance Demonstration to 2010
b. Treatment of Deficit Carryovers, RIN
Rollover, and RIN Valid Life For
Adjusted 2010 Biomass-Based Diesel
Requirement
3. Future Standards
F. Fuels That Are Subject to the Standards
1. Gasoline
2. Diesel
3. Other Transportation Fuels
G. Renewable Volume Obligations (RVOs)
1. Designation of Obligated Parties
2. Determination of RVOs Corresponding to
the Four Standards
3. RINs Eligible To Meet Each RVO
4. Treatment of RFS1 RINs Under RFS2
a. Use of RFS1 RINs To Meet Standards
Under RFS2
b. Deficit Carryovers From the RFS1
Program to RFS2
H. Separation of RINs
1. Nonroad
2. Heating Oil and Jet Fuel
3. Exporters
4. Requirement to Transfer RINs With
Volume
5. Neat Renewable Fuel and Renewable
Fuel Blends Designated as
Transportation Fuel, Heating Oil, or Jet
Fuel
I. Treatment of Cellulosic Biofuel
1. Cellulosic Biofuel Standard
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2. EPA Cellulosic Biofuel Waiver Credits
for Cellulosic Biofuel
3. Application of Cellulosic Biofuel Waiver
Credits
J. Changes to Recordkeeping and Reporting
Requirements
1. Recordkeeping
2. Reporting
3. Additional Requirements for Producers
of Renewable Natural Gas, Electricity,
and Propane
4. Attest Engagements
K. Production Outlook Reports
L. What Acts Are Prohibited and Who Is
Liable for Violations?
III. Other Program Changes
A. The EPA Moderated Transaction System
(EMTS)
1. Need for the EPA Moderated Transaction
System
2. Implementation of the EPA Moderated
Transaction System
3. How EMTS Will Work
4. A Sample EMTS Transaction
B. Upward Delegation of RIN-Separating
Responsibilities
C. Small Producer Exemption
D. 20% Rollover Cap
E. Small Refinery and Small Refiner
Flexibilities
1. Background—RFS1
a. Small Refinery Exemption
b. Small Refiner Exemption
2. Statutory Options for Extending Relief
3. The DOE Study/DOE Study Results
4. Ability To Grant Relief Beyond 211(o)(9)
5. Congress-Requested Revised DOE Study
6. What We’re Finalizing
a. Small Refinery and Small Refiner
Temporary Exemptions
b. Case-by-Case Hardship for Small
Refineries and Small Refiners
c. Program Review
7. Other Flexibilities Considered for Small
Refiners
a. Extensions of the RFS1 Temporary
Exemption for Small Refiners
b. Phase-in
c. RIN-Related Flexibilities
F. Retail Dispenser Labeling for Gasoline
With Greater Than 10 Percent Ethanol
G. Biodiesel Temperature Standardization
IV. Renewable Fuel Production and Use
A. Overview of Renewable Fuel Volumes
1. Reference Cases
2. Primary Control Case
a. Cellulosic Biofuel
b. Biomass-Based Diesel
c. Other Advanced Biofuel
d. Other Renewable Fuel
3. Additional Control Cases Considered
B. Renewable Fuel Production
1. Corn/Starch Ethanol
a. Historic/Current Production
b. Forecasted Production Under RFS2
2. Imported Ethanol
3. Cellulosic Biofuel
a. Current State of the Industry
b. Setting the 2010 Cellulosic Biofuel
Standard
c. Current Production Outlook for 2011 and
Beyond
d. Feedstock Availability
i. Urban Waste
ii. Agricultural and Forestry Residues
iii. Dedicated Energy Crops
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iv. Summary of Cellulosic Feedstocks for
2022
4. Biodiesel & Renewable Diesel
a. Historic and Projected Production
i. Biodiesel
ii. Renewable Diesel
b. Feedstock Availability
C. Biofuel Distribution
1. Biofuel Shipment to Petroleum
Terminals
2. Petroleum Terminal Accommodations
3. Potential Need for Special Blendstocks
at Petroleum Terminals for E85
4. Need for Additional E85 Retail Facilities
D. Ethanol Consumption
1. Historic/Current Ethanol Consumption
2. Increased Ethanol Use Under RFS2
a. Projected Gasoline Energy Demand
b. Projected Growth in Flexible Fuel
Vehicles
c. Projected Growth in E85 Access
d. Required Increase in E85 Refueling Rates
e. Market Pricing of E85 Versus Gasoline
3. Consideration of >10% Ethanol Blends
V. Lifecycle Analysis of Greenhouse Gas
Emissions
A. Introduction
1. Open and Science-Based Approach to
EPA’s Analysis
2. Addressing Uncertainty
B. Methodology
1. Scope of Analysis
a. Inclusion of Indirect Land Use Change
b. Models Used
c. Scenarios Modeled
2. Biofuel Modeling Framework &
Methodology for Lifecycle Analysis
Components
a. Feedstock Production
i. Domestic Agricultural Sector Impacts
ii. International Agricultural Sector
Impacts
b. Land Use Change
i. Amount of Land Area Converted and
Where
ii. Type of Land Converted
iii. GHG Emissions Associated With
Conversion
(1) Domestic Emissions
(2) International Emissions
iv. Timeframe of Emission Analysis
v. GTAP and Other Models
c. Feedstock Transport
d. Biofuel Processing
e. Fuel Transportation
f. Vehicle Tailpipe Emissions
3. Petroleum Baseline
C. Threshold Determination and
Assignment of Pathways
D. Total GHG Reductions
E. Effects of GHG Emission Reductions and
Changes in Global Temperature and Sea
Level
VI. How Would the Proposal Impact Criteria
and Toxic Pollutant Emissions and Their
Associated Effects?
A. Overview of Impacts
B. Fuel Production & Distribution Impacts
of the Proposed Program
C. Vehicle and Equipment Emission
Impacts of Fuel Program
D. Air Quality Impacts
1. Particulate Matter
a. Current Levels
b. Projected Levels Without RFS2 Volumes
c. Projected Levels With RFS2 Volumes
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2. Ozone
a. Current Levels
b. Projected Levels Without RFS2 Volumes
c. Projected Levels With RFS2 Volumes
3. Air Toxics
a. Current Levels
b. Projected Levels
i. Acetaldehyde
ii. Formaldehyde
iii. Ethanol
iv. Benzene
v. 1,3-Butadiene
vi. Acrolein
vii. Population Metrics
4. Nitrogen and Sulfur Deposition
a. Current Levels
b. Projected Levels
E. Health Effects of Criteria and Air Toxics
Pollutants
1. Particulate Matter
a. Background
b. Health Effects of PM
2. Ozone
a. Background
b. Health Effects of Ozone
3. NOX and SOX
a. Background
b. Health Effects of NOX
c. Health Effects of SOX
4. Carbon Monoxide
5. Air Toxics
a. Acetaldehyde
b. Acrolein
c. Benzene
d. 1,3-Butadiene
e. Ethanol
f. Formaldehyde
g. Peroxyacetyl Nitrate (PAN)
h. Naphthalene
i. Other Air Toxics
F. Environmental Effects of Criteria and Air
Toxic Pollutants
1. Visibility
2. Atmospheric Deposition
3. Plant and Ecosystem Effects of Ozone
4. Environmental Effects of Air Toxics
VII. Impacts on Cost of Renewable Fuels,
Gasoline, and Diesel
A. Renewable Fuel Production Costs
1. Ethanol Production Costs
a. Corn Ethanol
b. Cellulosic Ethanol
i. Feedstock Costs
ii. Production Costs for Cellulosic Biofuels
c. Imported Sugarcane Ethanol
2. Biodiesel and Renewable Diesel
Production Costs
a. Biodiesel
b. Renewable Diesel
B. Biofuel Distribution Costs
1. Ethanol Distribution Costs
2. Cellulosic Distillate and Renewable
Diesel Distribution Costs
3. Biodiesel Distribution Costs
C. Reduced U.S. Refining Demand
D. Total Estimated Cost Impacts
1. Refinery Modeling Methodology
2. Overall Impact on Fuel Cost
VIII. Economic Impacts and Benefits
A. Agricultural and Forestry Impacts
1. Biofuel Volumes Modeled
2. Commodity Price Changes
3. Impacts on U.S. Farm Income
4. Commodity Use Changes
5. U.S. Land Use Changes
6. Impact on U.S. Food Prices
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7. International Impacts
B. Energy Security Impacts
1. Implications of Reduced Petroleum Use
on U.S. Imports
2. Energy Security Implications
a. Effect of Oil Use on Long-Run Oil Price,
U.S. Import Costs, and Economic Output
b. Short-Run Disruption Premium From
Expected Costs of Sudden Supply
Disruptions
c. Costs of Existing U.S. Energy Security
Policies
3. Combining Energy Security and Other
Benefits
4. Total Energy Security Benefits
C. Benefits of Reducing GHG Emissions
1. Introduction
2. Derivation of Interim Social Cost of
Carbon Values
3. Application of Interim SCC Estimates to
GHG Emissions Reductions
D. Criteria Pollutant Health and
Environmental Impacts
1. Overview
2. Quantified Human Health Impacts
3. Monetized Impacts
4. What Are the Limitations of the Health
Impacts Analysis?
E. Summary of Costs and Benefits
IX. Impacts on Water
A. Background
1. Agriculture and Water Quality
2. Ecological Impacts
3. Impacts to the Gulf of Mexico
B. Upper Mississippi River Basin Analysis
1. SWAT Model
2. AEO 2007 Reference Case
3. Reference Cases and RFS2 Control Case
4. Case Study
5. Sensitivity Analysis
C. Additional Water Issues
1. Chesapeake Bay Watershed
2. Ethanol Production and Distribution
a. Production
b. Distillers Grain With Solubles
c. Ethanol Leaks and Spills From Fueling
Stations
3. Biodiesel Plants
4. Water Quantity
5. Drinking Water
X. Public Participation
XI. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory
Planning and Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
1. Overview
2. Background
3. Summary of Potentially Affected Small
Entities
4. Reporting, Recordkeeping, and
Compliance
5. Related Federal Rules
6. Steps Taken To Minimize the Significant
Economic Impact on Small Entities
a. Significant Panel Findings
b. Outreach With Small Entities (and the
Panel Process)
c. Panel Recommendations, Proposed
Provisions, and Provisions Being
Finalized
i. Delay in Standards
ii. Phase-in
iii. RIN-Related Flexibilities
iv. Program Review
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v. Extensions of the Temporary Exemption
Based on a Study of Small Refinery
Impacts
vi. Extensions of the Temporary Exemption
Based on Disproportionate Economic
Hardship
7. Conclusions
D. Unfunded Mandates Reform Act
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
Risks and Safety Risks
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
I. National Technology Transfer
Advancement Act
J. Executive Order 12898: Federal Actions
to Address Environmental Justice in
Minority Populations and Low-Income
Populations
K. Congressional Review Act
XII. Statutory Provisions and Legal Authority
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I. Executive Summary
Through this final rule, the U.S.
Environmental Protection Agency is
revising the National Renewable Fuel
Standard program to implement the
requirements of the Energy
Independence and Security Act of 2007
(EISA). EISA made significant changes
to both the structure and the magnitude
of the renewable fuel program created
by the Energy Policy Act of 2005
(EPAct). The EISA fuel program,
hereafter referred to as RFS2, mandates
the use of 36 billion gallons of
renewable fuel by 2022—a nearly fivefold increase over the highest volume
specified by EPAct. EISA also
established four separate categories of
renewable fuels, each with a separate
volume mandate and each with a
specific lifecycle greenhouse gas
emission threshold. The categories are
renewable fuel, advanced biofuel,
biomass-based diesel, and cellulosic
biofuel. There is a notable increase in
the mandate for cellulosic biofuels in
particular. EISA increased the cellulosic
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biofuel mandate to 16 billion gallons by
2022, representing the bulk of the
increase in the renewable fuels
mandate.
EPA’s proposed rule sought comment
on a multitude of issues, ranging from
how to interpret the new definitions for
renewable biomass to the Agency’s
proposed methodology for conducting
the greenhouse gas lifecycle assessments
required by EISA. The decisions
presented in this final rule are heavily
informed by the many public comments
we received on the proposed rule. In
addition, and as with the proposal, we
sought input from a wide variety of
stakeholders. The Agency has had
multiple meetings and discussions with
renewable fuel producers, technology
companies, petroleum refiners and
importers, agricultural associations,
lifecycle experts, environmental groups,
vehicle manufacturers, states, gasoline
and petroleum marketers, pipeline
owners and fuel terminal operators. We
also have worked closely with other
Federal agencies and in particular with
the Departments of Energy and
Agriculture.
This section provides an executive
summary of the final RFS2 program
requirements that EPA is implementing
as a result of EISA. The RFS2 program
will replace the RFS1 program
promulgated on May 1, 2007 (72 FR
23900).1 Details of the final
requirements can be found in Sections
II and III, with certain lifecycle aspects
detailed in Section V.
This section also provides a summary
of EPA’s assessment of the
environmental and economic impacts of
the use of higher renewable fuel
volumes. Details of these analyses can
be found in Sections IV through IX and
in the Regulatory Impact Analysis (RIA).
1 To meet the requirements of EPAct, EPA had
previously adopted a limited program that applied
only to calendar year 2006. The RFS1 program
refers to the general program adopted in the May
2007 rulemaking.
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A. Summary of New Provisions of the
RFS Program
Today’s notice establishes new
regulatory requirements for the RFS
program that will be implemented
through a new subpart M to 40 CFR part
80. EPA is maintaining several elements
of the RFS1 program such as regulations
governing the generation, transfer, and
use of Renewable Identification
Numbers (RINs). At the same time, we
are making a number of updates to
reflect the changes brought about by
EISA
1. Required Volumes of Renewable Fuel
The RFS program is intended to
require a minimum volume of
renewable fuel to be used each year in
the transportation sector. In response to
EPAct 2005, under RFS1 the required
volume was 4.0 billion gallons in 2006,
ramping up to 7.5 billion gallons by
2012. Starting in 2013, the program also
required that the total volume of
renewable fuel contain at least 250
million gallons of fuel derived from
cellulosic biomass.
In response to EISA, today’s action
makes four primary changes to the
volume requirements of the RFS
program. First, it substantially increases
the required volumes and extends the
timeframe over which the volumes ramp
up through at least 2022. Second, it
divides the total renewable fuel
requirement into four separate
categories, each with its own volume
requirement. Third, it requires, with
certain exceptions applicable to existing
facilities, that each of these mandated
volumes of renewable fuels achieve
certain minimum thresholds of GHG
emission performance. Fourth, it
requires that all renewable fuel be made
from feedstocks that meet the new
definition of renewable biomass
including certain land use restrictions.
The volume requirements in EISA are
shown in Table I.A.1–1.
BILLING CODE 6560–50–P
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As shown in the table, the volume
requirements are not exclusive, and
generally result in nested requirements.
Any renewable fuel that meets the
requirement for cellulosic biofuel or
biomass-based diesel is also valid for
meeting the advanced biofuel
requirement. Likewise, any renewable
fuel that meets the requirement for
advanced biofuel is also valid for
meeting the total renewable fuel
requirement. See Section V.C for further
discussion of which specific types of
fuel may qualify for the four categories
shown in Table I.A.1–1.
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2. Standards for 2010 and Effective Date
for New Requirements
While EISA established the renewable
fuel volumes shown in Table I.A.1–1, it
also requires that the Administrator set
the standards based on these volumes
each November for the following year
based in part on information provided
from the Energy Information Agency
(EIA). In the case of the cellulosic
biofuel standard, section 211(o)(7)(D) of
EISA specifically requires that the
standard be set based on the volume
projected to be available during the
following year. If the volume is lower
than the level shown in Table I.A.1–1,
then EISA allows the Administrator to
also lower the advanced biofuel and
total renewable fuel standards each year
accordingly. Given the implications of
these standards and the necessary
judgment that can’t be reduced to a
formula akin to the RFS1 regulations,
we believe it is appropriate to set the
standards through a notice-andcomment rulemaking process. Thus, for
future standards, we intend to issue an
NPRM by summer and a final rule by
November 30 of each year in order to
determine the appropriate standards
applicable in the following year.
However, in the case of the 2010
standards, we are finalizing them as part
of today’s action.
a. 2010 Standards
While we proposed that the cellulosic
biofuel standard would be set at the
EISA-specified level of 100 million
gallons for 2010, based on analysis of
information available at this time, we no
longer believe the full volume can be
met. Since the proposal, we have had
detailed discussions with over 30
companies that are in the business of
developing cellulosic biofuels and
cellulosic biofuel technology. Based on
these discussions, we have found that
many of the projects that served as the
basis for the proposal have been put on
hold, delayed, or scaled back. At the
same time, there have been a number of
additional projects that have developed
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and are moving forward. As discussed
in Section IV.B.3, the timing for many
of the projects indicates that while few
will be able to provide commercial
volumes for 2010, an increasing number
will come on line in 2011, 2012, and
2013. The success of these projects is
then expected to accelerate growth of
the cellulosic biofuel industry out into
the future. EIA provided us with a
projection on October 29, 2009 of 5.04
million gallons (6.5 million ethanolequivalent gallons) of cellulosic biofuel
production for 2010. While our
company-by-company assessment varies
from EIA’s, as described in Section
IV.B.3., and actual cellulosic production
volume during 2010 will be a function
of developments over the course of
2010, we nevertheless believe that 5
million gallons (6.5 million ethanol
equivalent) represents a reasonable, yet
achievable level for the cellulosic
standard for 2010. While this is lower
than the level specified in EISA, no
change to the advanced biofuel and total
renewable fuel standards is warranted.
With the inclusion of an energy-based
Equivalence Value for biodiesel and
renewable diesel, 2010 compliance with
the biomass-based diesel standard will
be more than enough to ensure
compliance with the advanced biofuel
standard for 2010.
Today’s rule also includes special
provisions to account for the 2009
biomass-based diesel volume
requirements in EISA. As described in
the NPRM, in November 2008 we used
the new total renewable fuel volume of
11.1 billion gallons from EISA as the
basis for the 2009 total renewable fuel
standard that we issued under the RFS1
regulations.2 While this approach
ensured that the total mandated
renewable fuel volume required by EISA
for 2009 was used, the RFS1 regulatory
structure did not provide a mechanism
for implementing the 0.5 billion gallon
requirement for biomass-based diesel
nor the 0.6 billion gallon requirement
for advanced biofuel. As we proposed,
and as is described in more detail in
Section II.E.2, we are addressing this
issue in today’s rule by combining the
2010 biomass-based diesel requirement
of 0.65 billion gallons with the 2009
biomass based diesel requirement of 0.5
billion gallons to require that obligated
parties meet a combined 2009/2010
requirement of 1.15 billion gallons by
the end of the 2010 compliance year. No
similar provisions are required in order
to fulfill the 2009 advanced biofuel
volume mandate.
The resulting 2010 standards are
shown in Table I.A.2–1. These
2 73
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14675
standards represent the fraction of a
refiner’s or importer’s gasoline and
diesel volume which must be renewable
fuel. Additional discussion of the 2010
standards can be found in Section
II.E.1.b.
TABLE I.A.2–1—STANDARDS FOR
2010
Cellulosic biofuel .......................
Biomass-based diesel ..............
Advanced biofuel ......................
Renewable fuel .........................
0.004%
1.10%
0.61%
8.25%
b. Effective Date
Under CAA section 211(o) as
modified by EISA, EPA is required to
revise the RFS1 regulations within one
year of enactment, or December 19,
2008. Promulgation by this date would
have been consistent with the revised
volume requirements shown in Table
I.A.1–1 that begin in 2009 for certain
categories of renewable fuel. As
described in the NPRM, we were not
able to promulgate final RFS2 program
requirements by December 19, 2008.
Under today’s rule, the transition
from using the RFS1 regulatory
provisions regarding registration, RIN
generation, reporting, and
recordkeeping to using comparable
provisions in this RFS2 rule will occur
on July 1, 2010. This is the start of the
1st quarter following completion of the
statutorily required 60-day
Congressional Review period for such a
rulemaking as this. This will provide
adequate lead time for all parties to
transition to the new regulatory
requirements, including additional time
to prepare for RFS2 implementation for
those entities who may find it helpful,
especially those covered by the RFS
program for the first time. In addition,
making the transition at the end of the
quarter will help simplify the
recordkeeping and reporting transition
to RFS2. To facilitate the volume
obligations being based on the full
year’s gasoline and diesel production,
and to enable the smooth transition
from the RFS1 to RFS2 regulatory
provisions, Renewable Identification
Numbers (RINs—which are used in the
program for both credit trading and for
compliance demonstration) that were
generated under the RFS1 regulations
will continue to be valid for compliance
with the RFS2 obligations. Further
discussion of transition issues can be
found in Sections II.A and II.G.4,
respectively.
According to EISA, the renewable fuel
obligations applicable under RFS2
apply on a calendar basis. That is,
obligated parties must determine their
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renewable volume obligations (RVOs) at
the end of a calendar year based on the
volume of gasoline or diesel fuel they
produce during the year, and they must
demonstrate compliance with their
RVOs in an annual report that is due
two months after the end of the calendar
year.
For 2010, today’s rule will follow this
same general approach. The four RFS2
RVOs for each obligated party will be
calculated on the basis of all gasoline
and diesel produced or imported on and
after January 1, 2010, through December
31, 2010. Obligated parties will be
required to demonstrate by February 28
of 2011 that they obtained sufficient
RINs to satisfy their 2010 RVOs. We
believe this is an appropriate approach
as it is more consistent with Congress’
provisions in EISA for 2010, and there
is adequate lead time for the obligated
parties to achieve compliance.
The issue for EPA to resolve is how
to apply the four volume mandates
under EISA for calendar year 2010.
These volume mandates are translated
into applicable percentages that
obligated parties then use to determine
their renewable fuel volume obligations
based on the gasoline and diesel they
produce or import in 2010. There are
three basic approaches that EPA has
considered, based on comments on the
proposal. The first is the approach
adopted in this rule—the four RFS2
applicable percentages are determined
based on the four volume mandates
covered by this rule, and the renewable
volume obligation for a refiner or
importer will be determined by
applying these percentages to the
volume of gasoline and diesel fuel they
produce during calendar year 2010.
Under this approach, there is no
separate applicable percentage under
RFS1 for 2010, however RINs generated
in 2009 and 2010 under RFS1 can be
used to meet the four volume
obligations for 2010 under the RFS2
regulations. Another option, which was
considered and rejected by EPA, is
much more complicated—(1) determine
an RFS1 applicable percentage based on
just the total renewable fuel volume
mandate, using the same total volume
for renewable fuel as used in the first
approach, and require obligated parties
to apply that percentage to the gasoline
produced from January 1, 2010 until the
effective date of the RFS2 regulations,
and (2) determine the four RFS2
applicable percentages as discussed
above, but require obligated parties to
apply them to only the gasoline and
diesel in 2010 after the effective date of
the RFS2 regulations. Of greater concern
than its complexity, the second
approach fails to ensure that the total
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volumes for three of the volume
mandates are met for 2010. In effect EPA
would be requiring that obligated
parties use enough cellulosic biofuel,
biomass-based diesel, and advanced
biofuel to meet approximately 75% of
the total volumes required for these
fuels under EISA. While the total
volume mandate under EISA for
renewable fuel would likely be met, the
other three volumes mandates would
only be met in part. The final option
would involve delaying the RFS2
requirements until January 1, 2011,
which would avoid the complexity of
the second approach, but would be even
less consistent with EISA’s
requirements.
The approach adopted in this rule is
clearly the most consistent with EISA’s
requirement of four different volume
mandates for all of calendar year 2010.
In addition, EPA is confident that
obligated parties have adequate leadtime to comply with the four volume
requirements under the approach
adopted in this rule. The volume
requirements are achieved by obtaining
the appropriate number of RINs from
producers of the renewable fuel. The
obligated parties do not need lead time
for construction or investment purposes,
as they are not changing the way they
produce gasoline or diesel, do not need
to design to install new equipment, or
take other actions that require longer
lead time. Obtaining the appropriate
amount of RINs involves contractual or
other arrangements with renewable fuel
producers or other holders of RINs.
Obligated parties now have experience
implementing RFS1, and the actions
needed to comply under the RFS2
regulations are a continuation of these
kinds of RFS1 activities. In addition, an
adequate supply of RINs is expected to
be available for compliance by obligated
parties. RFS1 RINs have been produced
throughout 2009 and continue to be
produced since the beginning of 2010.
There has been and will be no gap or lag
in the production of RINS, as the RFS1
regulations continue in effect and
require that renewable fuel producers
generate RINs for the renewable fuel
they produce. These 2009 and 2010
RFS1 RINs will be available and can be
used towards the volume requirements
of obligated parties for 2010. These
RFS1 RINS combined with the RFS2
RINs that will be generated by
renewable fuel producers are expected
to provide an adequate supply of RINs
to ensure compliance for all of the
renewable volume mandates. For further
discussion of the expected supply of
renewable fuel, see section IV.
In addition, obligated parties have
received adequate notice of this
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obligation. The proposed rule called for
obligated parties to meet the full volume
mandates for all four volume mandates,
and to base their volume obligation on
the volume of gasoline and diesel
produced starting January 1, 2010.
While the RFS2 regulations are not
effective until after January 1, 2010, the
same full year approach is being taken
for the 2010 volumes of gasoline and
diesel. Obligated parties have been on
notice based on EPA’s proposal,
discussions with many stakeholders
during the rulemaking, the issuance of
the final rule itself, and publication of
this rule in the Federal Register. As
discussed above, there is adequate time
for obligated parties to meet their 2010
volume obligations by the spring of
2011.
This approach does not impose any
retroactive requirements. The obligation
that is imposed under the RFS2
regulations is forward looking—by the
spring of 2011, when compliance is
determined, obligated parties must
satisfy certain volume obligations.
These future requirements are
calculated in part based on volumes of
gasoline and diesel produced prior to
the effective date of the RFS2
regulations, but this does not make the
RFS2 requirement retroactive in nature.
The RFS2 regulations do not change in
any way the legal obligations or
requirements that apply prior to the
effective date of the RFS2 regulations.
Instead, the RFS2 requirements impose
new requirements that must be met in
the future. There is adequate lead time
to comply with these RFS2
requirements, and they achieve a result
that is more consistent with Congress’
goals in establishing 4 volume mandates
for calendar year 2010, and for these
reasons EPA is adopting this approach
for calendar year 2010.
Parties that intend to generate RINs,
own and/or transfer them, or use them
for compliance purposes after July 1,
2010 will need to register or re-register
under the RFS2 provisions and modify
their information technology (IT)
systems to accommodate the changes we
are finalizing today. As described more
fully in Section II, these changes
include redefining the D code within
the RIN that identifies which standard
a fuel qualifies for, adding a process for
verifying that feedstocks meet the
renewable biomass definition, and
calculating compliance with four
standards instead of one. EPA’s
registration system is available now for
parties to complete the registration
process. Further details on this process
can be found elsewhere in today’s
preamble as well as at https://
www.epa.gov/otaq/regs/fuels/
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fuelsregistration.htm. Parties that
produce motor vehicle, nonroad,
locomotive, and marine (MVNRLM)
diesel fuel but not gasoline will be
newly obligated parties and may be
establishing IT systems for the RFS
program for the first time.
3. Analysis of Lifecycle Greenhouse Gas
Emissions and Thresholds for
Renewable Fuels
a. Background and Conclusions
A significant aspect of the RFS2
program is the requirement that the
lifecycle GHG emissions of a qualifying
renewable fuel must be less than the
lifecycle GHG emissions of the 2005
baseline average gasoline or diesel fuel
that it replaces; four different levels of
reductions are required for the four
different renewable fuel standards.
These lifecycle performance
improvement thresholds are listed in
Table I.A.3–1. Compliance with each
threshold requires a comprehensive
evaluation of renewable fuels, as well as
the baseline for gasoline and diesel, on
the basis of their lifecycle emissions. As
mandated by EISA, the greenhouse gas
emissions assessments must evaluate
the aggregate quantity of greenhouse gas
emissions (including direct emissions
and significant indirect emissions such
as significant emissions form land use
changes) related to the full lifecycle,
including all stages of fuel and
feedstock production, distribution and
use by the ultimate consumer.
TABLE I.A.3–1—LIFECYCLE GHG
THRESHOLDS SPECIFIED IN EISA
[Percent Reduction from Baseline]
Renewable fuel a .......................
Advanced biofuel ......................
Biomass-based diesel ..............
Cellulosic biofuel .......................
20
50
50
60
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a The 20% criterion generally applies to renewable fuel from new facilities that commenced construction after December 19,
2007.
It is important to recognize that fuel
from the existing capacity of current
facilities and the capacity of all new
facilities that commenced construction
prior to December 19, 2007 (and in some
cases prior to December 31, 2009) are
exempt, or grandfathered, from the 20%
lifecycle requirement for the Renewable
Fuel category. Therefore, EPA has in the
discussion below emphasized its
analysis on those plants and fuels that
are likely to be used for compliance
with the rule and would be subject to
the lifecycle thresholds. Based on the
analyses and approach described in
Section V of this preamble, EPA is
determining that ethanol produced from
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corn starch at a new facility (or
expanded capacity from an existing)
using natural gas, biomass or biogas for
process energy and using advanced
efficient technologies that we expect
will be most typical of new production
facilities will meet the 20% GHG
emission reduction threshold compared
to the 2005 baseline gasoline. We are
also determining that biobutanol from
corn starch meets the 20% threshold.
Similarly, EPA is making the
determination that biodiesel and
renewable diesel from soy oil or waste
oils, fats and greases will exceed the
50% GHG threshold for biomass-based
diesel compared to the 2005 petroleum
diesel baseline. In addition, we have
now modeled biodiesel and renewable
diesel produced from algal oils as
complying with the 50% threshold for
biomass-based diesel. EPA is also
determining that ethanol from sugarcane
complies with the applicable 50% GHG
reduction threshold for advanced
biofuels. The modeled pathways
(feedstock and production technology)
for cellulosic ethanol and cellulosic
diesel would also comply with the 60%
GHG reduction threshold applicable to
cellulosic biofuels. As discussed later in
section V, there are also other fuels and
fuel pathways that we are determining
will comply with the GHG thresholds.
Under EISA, EPA is allowed to adjust
the GHG reduction thresholds
downward by up to 10% if necessary
based on lifecycle GHG assessment of
biofuels likely to be available. Based on
the results summarized above, we are
not finalizing any adjustments to the
lifecycle GHG thresholds for the four
renewable fuel standard categories.
EPA recognizes that as the state of
scientific knowledge continues to
evolve in this area, the lifecycle GHG
assessments for a variety of fuel
pathways are likely to be updated.
Therefore, while EPA is using its
current lifecycle assessments to inform
the regulatory determinations for fuel
pathways in this final rule, as required
by the statute, the Agency is also
committing to further reassess these
determinations and lifecycle estimates.
As part of this ongoing effort, we will
ask for the expert advice of the National
Academy of Sciences, as well as other
experts, and incorporate their advice
and any updated information we receive
into a new assessment of the lifecycle
GHG emissions performance of the
biofuels being evaluated in this final
rule. EPA will request that the National
Academy of Sciences evaluate the
approach taken in this rule, the
underlying science of lifecycle
assessment, and in particular indirect
land use change, and make
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14677
recommendations for subsequent
lifecycle GHG assessments on this
subject. At this time we are estimating
this review by the National Academy of
Sciences may take up to two years. As
specified by EISA, if EPA revises the
analytical methodology for determining
lifecycle greenhouse gas emissions, any
such revision will apply to renewable
fuel from new facilities that commence
construction after the effective date of
the revision.
b. Fuel Pathways Considered and Key
Model Updates Since the Proposal
EPA is making the GHG threshold
determination based on a methodology
that includes an analysis of the full
lifecycle, including significant
emissions related to international landuse change. As described in more detail
below and in Section V of this
preamble, EPA has used the best
available models for this purpose, and
has incorporated many modifications to
its proposed approach based on
comments from the public and peer
reviewers and developing science. EPA
has also quantified the uncertainty
associated with significant components
of its analyses, including important
factors affecting GHG emissions
associated with international land use
change. As discussed below, EPA has
updated and refined its modeling
approach since proposal in several
important ways, and EPA is confident
that its modeling of GHG emissions
associated with international land use is
comprehensive and provides a
reasonable and scientifically robust
basis for making the threshold
determinations described above. As
discussed below, EPA plans to continue
to improve upon its analyses, and will
update it in the future as appropriate.
Through technical outreach, the peer
review process, and the public comment
period, EPA received and reviewed a
significant amount of data, studies, and
information on our proposed lifecycle
analysis approach. We incorporated a
number of new, updated, and peerreviewed data sources in our final
rulemaking analysis including better
satellite data for tracking land use
changes and improved assessments of
N2O impacts from agriculture. The new
and updated data sources are discussed
further in this section, and in more
detail in Section V.
We also performed dozens of new
modeling runs, uncertainty analyses,
and sensitivity analyses which are
leading to greater confidence in our
results. We have updated our analyses
in conjunction with, and based on,
advice from experts from government,
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academia, industry, and not for profit
institutions.
The new studies, data, and analysis
performed for the final rulemaking
impacted the lifecycle GHG results for
biofuels in a number of different ways.
In some cases, updates caused the
modeled analysis of lifecycle GHG
emissions from biofuels to increase,
while other updates caused the modeled
emissions to be reduced. Overall, the
revisions since our proposed rule have
led to a reduction in modeled lifecycle
GHG emissions as compared to the
values in the proposal. The following
highlights the most significant revisions.
Section V details all of the changes
made and their relative impacts on the
results.
Corn Ethanol: The final rule analysis
found less overall indirect land use
change (less land needed), thereby
improving the lifecycle GHG
performance of corn ethanol. The main
reasons for this decrease are:
• Based on new studies that show the
rate of improvement in crop yields as a
function of price, crop yields are now
modeled to increase in response to
higher crop prices. When higher crop
yields are used in the models, less land
is needed domestically and globally for
crops as biofuels expand.
• New research available since the
proposal indicates that the corn ethanol
production co-product, distillers grains
and solubles (DGS), is more efficient as
an animal feed (meaning less corn is
needed for animal feed) than we had
assumed in the proposal. Therefore, in
our analyses for the final rule, domestic
corn exports are not impacted as much
by increased biofuel production as they
were in the proposal analysis.
• Improved satellite data allowed us
to more finely assess the types of land
converted when international land use
changes occur, and this more precise
assessment led to a lowering of modeled
GHG impacts. Based on previous
satellite data, the proposal assumed
cropland expansion onto grassland
would require an amount of pasture to
be replaced through deforestation. For
the final rulemaking analysis we
incorporated improved economic
modeling of demand for pasture area
and satellite data which indicates that
pasture is also likely to expand onto
existing grasslands. This reduced the
GHG emissions associated with an
amount of land use change.
However, we note that not all
modeling updates necessarily reduced
predicted GHG emissions from land use
change. As one example, since the
proposal a new version of the GREET
model (Version 1.8C) has been released.
EPA reviewed the new version and
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concluded that this was an
improvement over the previous GREET
release that was used in the proposal
analysis (Version 1.8B). Therefore, EPA
updated the GHG emission factors for
fertilizer production used in our
analysis to the values from the new
GREET version. This had the result of
slightly increasing the GHG emissions
associated with fertilizer production
and thus slightly increasing the GHG
emission impacts of domestic
agriculture.
For the final rule, EPA has analyzed
a variety of corn ethanol pathways
including ethanol made from corn
starch using natural gas, coal, and
biomass as process energy sources in
production facilities utilizing both dry
mill and wet mill processes. For corn
starch ethanol, we also considered the
technology enhancements likely to
occur in the future such as the addition
of corn oil fractionation or extraction
technology, membrane separation
technology, combined heat and power
and raw starch hydrolysis.
Biobutanol from corn starch: In
addition to ethanol from corn starch, for
this final rule, we have also analyzed
bio-butanol from corn starch. Since the
feedstock impacts are the same as for
ethanol from corn starch, the assessment
for biobutanol reflects the differing
impacts due to the production process
and energy content of biobutanol
compared to that of ethanol.
Soybean Biodiesel: The new
information described above for corn
ethanol also leads to lower modeled
GHG impacts associated with soybean
biodiesel. The revised assessment
predicts less overall indirect land use
change (less land needed) and less
impact from the land use changed that
does occur (due to updates in types of
converted land assumed). In addition,
the latest IPCC guidance indicates
reduced domestic soybean N2O
emissions, and updated USDA and
industry data show reductions in
biodiesel processing energy use and a
higher co-product credit, all of which
further reduced the modeled soybean
biodiesel lifecycle GHG emissions. This
has resulted in a significant
improvement in our assessment of the
lifecycle performance of soybean
biodiesel as compared to the estimate in
the proposal.
Biodiesel and Renewable Diesel from
Algal Oil and Waste Fats and Greases:
In addition to biodiesel from soy oil,
biodiesel and renewable diesel from
algal oil (should it reach commercial
production) and biodiesel from waste
oils, fats and greases have been
modeled. These feedstock sources have
little or no land use impact so the GHG
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impacts associate with their use in
biofuel production are largely the result
of energy required to produce the
feedstock (in the case of algal oil) and
the energy required to turn that
feedstock into a biofuel.
Sugarcane Ethanol: Sugarcane
ethanol was analyzed considering a
range of technologies and assuming
alternative pathways for dehydrating the
ethanol prior to its use as a biofuel in
the U.S. For the final rule, our analysis
also shows less overall indirect land use
change (less land needed) associated
with sugarcane ethanol production. For
the proposal, we assumed sugarcane
expansion in Brazil would result in
cropland expansion into grassland and
lost pasture being replaced through
deforestation. Based on newly available
regional specific data from Brazil,
historic trends, and higher resolution
satellite data, in the final rule, sugarcane
expansion onto grassland is coupled
with greater pasture intensification,
such that there is less projected impact
on forests. Furthermore, new data
provided by commenters showed
reduced sugarcane ethanol process
energy, which also reduced the
estimated lifecycle GHG impact of
sugarcane ethanol production.
Cellulosic Ethanol: We analyzed
cellulosic ethanol production using both
biochemical (enzymatic) and thermochemical processes with corn stover,
switchgrass, and forestry thinnings and
waste as feedstocks. For cellulosic
diesel, we analyzed production using
the Fischer-Tropsch process. For the
final rule, we updated the cellulosic
ethanol conversion rates based on new
data provided by the National
Renewable Energy Laboratory (NREL.)
As a result of this update, the gallons
per ton yields for switchgrass and
several other feedstock sources
increased in our analysis for the final
rule, while the predicted yields from
corn residue and several other feedstock
sources decreased slightly from the
NPRM values. In addition, we also
updated our feedstock production yields
based on new work conducted by the
Pacific Northwest National Laboratory
(PNNL). This analysis increased the tons
per acre yields for several dedicated
energy crops. These updates increased
the amount of cellulosic ethanol
projected to come from energy crops.
While the increase in crop yields and
conversion efficiency reduced the GHG
emissions associated with cellulosic
ethanol, there remains an increased
demand for land to grow dedicated
energy crops; this land use impact
resulted in increased GHG emissions
with the net result varying by the type
of cellulosic feedstock source.
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We note that several of the renewable
fuel pathways modeled are still in early
stages of development or
commercialization and are likely to
continue to develop as the industry
moves toward commercial production.
Therefore, it will be necessary to
reanalyze several pathways using
updated data and information as the
technologies develop. For example,
biofuel derived from algae is undergoing
wide ranging development. Therefore
for now, our algae analyses presume
particular processes and energy
requirements which will need to be
reviewed and updated as this fuel
source moves toward commercial
production.
For this final rule we have
incorporated a statistical analysis of
uncertainty about critical variables in
our pathway analysis. This uncertainty
analysis is explained in detail in Section
V and is consistent with the specific
recommendations received through our
peer review and public comments on
the proposal. The uncertainty analysis
focused on two aspects of indirect land
use change—the types of land converted
and the GHG emission associated with
different types of land converted. In
particular, our uncertainty analysis
focused on such specific sources of
information as the satellite imaging used
to inform our assessment of land use
trends and the specific changes in
carbon storage expected from a change
in land use in each geographic area of
the world modeled. We have also
performed additional sensitivity
analyses including analysis of two yield
scenarios for corn and soy beans to
assess the impact of changes in yield
assumptions.
This uncertainty analysis provides
information on both the range of
possible outcomes for the parameters
analyzed, an estimate of the degree of
confidence that the actual result will be
within a particular range (in our case,
we estimated a 95% confidence
interval) and an estimate of the central
tendency or midpoint of the GHG
performance estimate.
In the proposal, we considered several
options for the timeframe over which to
measure lifecycle GHG impacts and the
possibility of discounting those impacts.
Based on peer review recommendations
and other comments received, EPA is
finalizing its assessments based on an
analysis assuming 30 years of continued
emission impacts after the program is
fully phased in by 2022 and without
discounting those impacts.
EPA also notes that it received
significant comment on our proposed
baseline lifecycle greenhouse gas
assessment of gasoline and diesel
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(‘‘petroleum baseline’’). While EPA has
made several updates to the petroleum
analysis in response to comments (see
Section V for further discussion), we are
finalizing the approach based on our
interpretation of the definition in the
Act as requiring that the petroleum
baseline represent an average of the
gasoline and diesel fuel (whichever is
being replaced by the renewable fuel)
sold as transportation fuel in 2005.
As discussed in more detail later, the
modeling results developed for
purposes of the final rule provide a rich
and comprehensive base of information
for making the threshold
determinations. There are numerous
modeling runs, reflecting updated
inputs to the model, sensitivity
analyses, and uncertainty analyses. The
results for different scenarios include a
range and a best estimate or mid-point.
Given the potentially conservative
nature of the base crop yield
assumption, EPA believes the actual
crop yield in 2022 may be above the
base yield; however we are not in a
position to characterize how much
above it might be. To the extent actual
yields are higher, the base yield
modeling results would underestimate
to some degree the actual GHG
emissions reductions compared to the
baseline.
In making the threshold
determinations for this rule, EPA
weighed all of the evidence available to
it, while placing the greatest weight on
the best estimate value for the base yield
scenario. In those cases where the best
estimate for the base yield scenario
exceeds the reduction threshold, EPA
judges that there is a good basis to be
confident that the threshold will be
achieved and is determining that the
bio-fuel pathway complies with the
applicable threshold. To the extent the
midpoint of the scenarios analyzed lies
further above a threshold for a particular
biofuel pathway, we have increasingly
greater confidence that the biofuel
exceeds the threshold.
EPA recognizes that certain
commenters suggest that there is a very
high degree of uncertainty associated in
particular with determining
international indirect land use changes
and their emissions impacts, and
because of this EPA should exclude any
calculation of international indirect
land use changes in its lifecycle
analysis. Commenters say EPA should
make the threshold determinations
based solely on modeling of other
sources of lifecycle emissions. In effect,
commenters argue that the uncertainty
of the modeling associated with
international indirect land use change
means we should use our modeling
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results but exclude that part of the
results associated with international
land use change.
For the reasons discussed above and
in more detail in Section V, EPA rejects
the view that the modeling relied upon
in the final rule, which includes
emissions associated with international
indirect land use change, is too
uncertain to provide a credible and
reasonable scientific basis for
determining whether the aggregate
lifecycle emissions exceed the
thresholds. In addition, as discussed
elsewhere, the definition of lifecycle
emissions includes significant indirect
emissions associated with land use
change. In deciding whether a bio-fuel
pathway meets the threshold, EPA has
to consider what it knows about all
aspects of the lifecycle emissions, and
decide whether there is a valid basis to
find that the aggregate lifecycle
emissions of the fuel, taking into
account significant indirect emissions
from land use change meets the
threshold. Based on the analyses
conducted for this rule, EPA has
determined international indirect land
use impacts are significant and therefore
must be included in threshold
compliance assessment.
If the international land use impacts
were so uncertain that their impact on
lifecycle GHG emissions could not be
adequately determined, as claimed by
commenters, this does not mean EPA
could assume the international land use
change emissions are zero, as
commenters suggest. High uncertainty
would not mean that emissions are
small and can be ignored; rather it could
mean that we could not tell whether
they are large or small. If high
uncertainty meant that EPA were not
able to determine that indirect
emissions from international land use
change are small enough that the total
lifecycle emissions meet the threshold,
then that fuel could not be determined
to meet the GHG thresholds of EISA and
the fuel would necessarily have to be
excluded from the program.
In any case, that is not the situation
here as EPA rejects commenters’
suggestion and does not agree that the
uncertainty over the indirect emissions
from land use change is too high to
make a reasoned threshold
determination. Therefore biofuels with a
significant international land use impact
are included within this program.
c. Consideration of Fuel Pathways Not
Yet Modeled
Not all biofuel pathways have been
directly modeled for this rule. For
example, while we have modeled
cellulosic biofuel produced from corn
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stover, we have not modeled the
specific GHG impact of cellulosic
biofuel produced from other crop
residues such as wheat straw or rice
straw. Today, in addition to finalizing a
threshold compliance determination for
those pathways we specifically
modeled, in some cases, our technical
judgment indicates other pathways are
likely to be similar enough to modeled
pathways that we are also assured these
similar pathways qualify. These
pathways include fuels produced from
the same feedstock and using the same
production process but produced in
countries other than those modeled. The
agricultural sector modeling used for
our lifecycle analysis does not predict
any soybean biodiesel or corn ethanol
will be imported into the U.S., or any
imported sugarcane ethanol from
production in countries other than
Brazil. However, these rules do not
prohibit the use in the U.S. of these
fuels produced in countries not
modeled if they are also expected to
comply with the eligibility requirements
including meeting the thresholds for
GHG performance. Although the GHG
emissions of producing these fuels from
feedstock grown or biofuel produced in
other countries has not been specifically
modeled, we do not anticipate their use
would impact our conclusions regarding
these feedstock pathways. The
emissions of producing these fuels in
other countries could be slightly higher
or lower than what was modeled
depending on a number of factors. Our
analyses indicate that crop yields for the
crops in other countries where these
fuels are also most likely to be produced
are similar or lower than U.S. values
indicating the same or slightly higher
GHG impacts. Agricultural sector inputs
for the crops in these other countries are
roughly the same or lower than the U.S.
pointing toward the same or slightly
lower GHG impacts. If crop production
were to expand due to biofuels in the
countries where the models predict
these biofuels might additionally be
produced would tend to lower our
assessment of international indirect
impacts but could increase our
assessment of the domestic (i.e., the
country of origin) land use impacts. EPA
believes, because of these offsetting
factors along with the small amounts of
fuel potentially coming from other
countries, that incorporating fuels
produced in other countries will not
impact our threshold analysis.
Therefore, fuels of the same fuel type,
produced from the same feedstock using
the same fuel production technology as
modeled fuel pathways will be assessed
the same GHG performance decisions
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regardless of country of origin. These
pathways also include fuels that might
be produced from similar feedstock
sources to those already modeled and
which are expected to have less or no
indirect land use change. In such cases,
we believe that in order to compete
economically in the renewable fuel
marketplace such pathways are likely to
be at least as energy efficient as those
modeled and thus have comparable
lifecycle GHG performance. Based on
these considerations, we are extending
the lifecycle results for the fuel
pathways already modeled to 5 broader
categories of feedstocks. This extension
of lifecycle modeling results is
discussed further in Section V.C.
We have established five categories of
biofuel feedstock sources under which
modeled feedstock sources and
feedstock sources similar to those
modeled are grouped and qualify on the
basis of our existing modeling. These
are:
1. Crop residues such as corn stover,
wheat straw, rice straw, citrus residue.
2. Forest material including eligible
forest thinnings and solid residue
remaining from forest product
production.
3. Annual cover crops planted on
existing crop land such as winter cover
crops.
4. Separated food and yard waste
including biogenic waste from food
processing.
5. Perennial grasses including
switchgrass and miscanthus.
The full set of pathways for which we
have been able to make a compliance
decision are described in Section V.
Threshold determinations for certain
other pathways were not possible at this
time because sufficient modeling or data
is not yet available. In some of these
cases, we recognize that a renewable
fuel is already being produced from an
alternative feedstock. Although we have
the data needed for analysis, we did not
have sufficient time to complete the
necessary lifecycle GHG impact
assessment for this final rule. We will
model and evaluate additional pathways
after this final rule on the basis of
current or likely commercial production
in the near-term and the status of
current analysis at EPA. EPA anticipates
modeling grain sorghum ethanol, woody
pulp ethanol, and palm oil biodiesel
after this final rule and including the
determinations in a rulemaking within 6
months. Our analyses project that they
will be used in meeting the RFS2
volume standard in the near-term.
During the course of the NPRM
comment period, EPA received detailed
information on these pathways and is
currently in the process of analyzing
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these pathways. We have received
comments on several additional
feedstock/fuel pathways, including
rapeseed/canola, camelina, sweet
sorghum, wheat, and mustard seed, and
we welcome parties to utilize the
petition process described in Section
V.C to request EPA to examine
additional pathways.
We anticipate there could be
additional cases where we currently do
not have information on which to base
a lifecycle GHG assessment perhaps
because we are not yet aware of
potential unique plant configurations or
operations that could result in greater
efficiencies than assumed in our
analysis. In many cases, such alternative
pathways could have been explicitly
modeled as a reasonably straightforward
extension of pathways we have modeled
if the necessary information had been
available. For example, while we have
modeled specific enhancements to corn
starch ethanol production such as
membrane separation or corn oil
extraction, there are likely other
additional energy saving or co-product
pathways available or under
development by the industry. It is
reasonable to also consider these
alternative energy saving or co-product
pathways based upon their technical
merits. Other current or emerging
pathways may require new analysis and
modeling for EPA to fully evaluate
compliance. For example, fuel pathways
with feedstocks or fuel types not yet
modeled by EPA may require additional
modeling and, it follows, public
comment before a determination of
compliance can be made.
Therefore, for those fuel pathways
that are different than those pathways
EPA has listed in today’s regulations,
EPA is establishing a petition process
whereby a party can petition the Agency
to consider new pathways for GHG
reduction threshold compliance. As
described in Section V.C, the petition
process is meant for parties with serious
intention to move forward with
production via the petitioned fuel
pathway and who have moved
sufficiently forward in the business
process to show feasibility of the fuel
pathway’s implementation. In addition,
if the petition addresses a fuel pathway
that already has been determined to
qualify as one or more types of
renewable fuel under RFS (e.g.,
renewable fuel, or advanced biofuel),
the pathway must have the potential to
result in qualifying for a renewable fuel
type for which it was not previously
qualified. Thus, for example, the
Agency will not undertake any
additional review for a party wishing to
get a modified LCA value for a
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previously approved fuel pathway if the
desired new value would not change the
overall pathway classification.
The petition must contain all the
necessary information on the fuel
pathway to allow EPA to effectively
assess the lifecycle performance of the
new fuel pathway. See Section V.C for
a full description. EPA will use the data
supplied via the petition and other
pertinent data available to the Agency to
evaluate whether the information for
that fuel pathway, combined with
information developed in this
rulemaking for other fuel pathways that
have been determined to exceed the
threshold, is sufficient to allow EPA to
evaluate the pathway for a
determination of compliance. We expect
such a determination would be pathway
specific. For some fuel pathways with
unique modifications or enhancements
to production technologies in pathways
otherwise modeled for the regulations
listed today, EPA may be able to
evaluate the pathway as a reasonably
straight-forward extension of our
current assessments. In such cases, we
would expect to make a decision for that
specific pathway without conducting a
full rulemaking process. We would
expect to evaluate whether the pathway
is consistent with the definitions of
renewable fuel types in the regulations,
generally without going through
rulemaking, and issue an approval or
disapproval that applies to the
petitioner. We anticipate that we will
subsequently propose to add the
pathway to the regulations. Other
current or emerging fuel pathways may
require significant new analysis and/or
modeling for EPA to conduct an
adequate evaluation for a compliance
determination (e.g., feedstocks or fuel
types not yet included in EPA’s
assessments for this regulation). For
these pathways, EPA would give notice
and seek public comment on a
compliance determination under the
annual rulemaking process established
in today’s regulations. If we make a
technical determination of compliance,
then we anticipate the fuel producer
will be able to generate RINs for fuel
produced under the additional pathway
following the next available quarterly
update of the EPA Moderated
Transaction System (EMTS). EPA will
process those petitions as expeditiously
as possible for those pathways which
are closer to the commercial production
stage than others. In all events, parties
are expected to begin this process with
ample lead time as compared to their
commercial start dates. Further
discussion of this petition process can
be found in Section V.C.
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We note again that the continued
work of EPA and others is expected to
result in improved models and data
sources, and that re-analysis based on
such updated information could revise
these determinations. Any such
reassessment that would impact
compliance would necessarily go
through rulemaking and would only be
applicable to production from future
facilities after the revised rule was
finalized, as required by EISA.
4. Compliance With Renewable Biomass
Provision
EISA changed the definition of
‘‘renewable fuel’’ to require that it be
made from feedstocks that qualify as
‘‘renewable biomass.’’ EISA’s definition
of the term ‘‘renewable biomass’’ limits
the types of biomass as well as the types
of land from which the biomass may be
harvested. The definition includes:
• Planted crops and crop residue
from agricultural land cleared prior to
December 19, 2007 and actively
managed or fallow on that date.
• Planted trees and tree residue from
tree plantations cleared prior to
December 19, 2007 and actively
managed on that date.
• Animal waste material and
byproducts.
• Slash and pre-commercial thinnings
from non-federal forestlands that are
neither old-growth nor listed as
critically imperiled or rare by a State
Natural Heritage program.
• Biomass cleared from the vicinity of
buildings and other areas at risk of
wildfire.
• Algae.
• Separated yard waste and food
waste.
In today’s rule, EPA is finalizing
definitions for the many terms included
within the definition of renewable
biomass. Where possible, EPA has
adhered to existing statutory, regulatory
or industry definitions for these terms,
although in some cases we have altered
definitions to conform to EISA’s
statutory language, to further the goals
of EISA, or for ease of program
implementation. For example, EPA is
defining ‘‘agricultural land’’ from which
crops and crop residue can be harvested
for RIN-generating renewable fuel
production as including cropland,
pastureland, and land enrolled in the
Conservation Reserve Program. An indepth discussion of the renewable
biomass definitions can be found in
Section II.B.4.
In keeping with EISA, under today’s
final rule, renewable fuel producers may
only generate RINs for fuels made from
feedstocks meeting the definition of
renewable biomass. In order to
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implement this requirement, we are
finalizing three potential mechanisms
for domestic and foreign renewable fuel
producers to verify that their feedstocks
comply with this requirement. The first
involves renewable biomass
recordkeeping and reporting
requirements by renewable fuel
producers for their individual facilities.
As an alternative to these individual
recordkeeping and reporting
requirements, the second allows
renewable fuel producers to form a
consortium to fund an independent
third-party to conduct an annual
renewable biomass quality-assurance
survey, based on a plan approved by
EPA. The third is an aggregate
compliance approach applicable only to
crops and crop residue from the U.S. It
utilizes USDA’s publicly available
agricultural land data as the basis for an
EPA determination of compliance with
the renewable biomass requirements for
these particular feedstocks. This
determination will be reviewed
annually, and if EPA finds it is no
longer warranted, then renewable fuel
producers using domestically grown
crops and crop residue will be required
to conduct individual or consortiumbased verification processes to ensure
that their feedstocks qualify as
renewable biomass. These final
provisions are described below, with a
more in-depth discussion in Section
II.B.4.
For renewable fuel producers using
feedstocks other than planted crops or
crop residue from agricultural land that
do not choose to participate in the thirdparty survey funded by an industry
consortium, the final renewable biomass
recordkeeping and reporting provisions
require that individual producers obtain
documentation about their feedstocks
from their feedstock supplier(s) and take
the measures necessary to ensure that
they know the source of their feedstocks
and can demonstrate to EPA that they
have complied with the EISA definition
of renewable biomass. Specifically,
EPA’s renewable biomass reporting
requirements for producers who
generate RINs include a certification on
renewable fuel production reports that
the feedstock used for each renewable
fuel batch meets the definition of
renewable biomass. Additionally,
producers will be required to include
with their quarterly reports a summary
of the types and volumes of feedstocks
used throughout the quarter, as well as
maps of the land from which the
feedstocks used in the quarter were
harvested. EPA’s final renewable
biomass recordkeeping provisions
require renewable fuel producers to
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maintain sufficient records to support
their claims that their feedstocks meet
the definition of renewable biomass,
including maps or electronic data
identifying the boundaries of the land
where the feedstocks were produced,
documents tracing the feedstocks from
the land to the renewable fuel
production facility, other written
records from their feedstock suppliers
that serve as evidence that the feedstock
qualifies as renewable biomass, and for
producers using planted trees or tree
residue from tree plantations, written
records that serve as evidence that the
land from which the feedstocks were
obtained was cleared prior to December
19, 2007 and actively managed on that
date.
Based on USDA’s publicly available
agricultural land data, EPA is able to
establish a baseline of the aggregate
amount of U.S. agricultural land
(meaning cropland, pastureland and
CRP land in the United States) that is
available for the production of crops
and crop residues for use in renewable
fuel production consistent with the
definition of renewable biomass. EPA
has determined that, in the aggregate
this amount of agricultural land (land
cleared or cultivated prior to EISA’s
enactment (December 19, 2007) and
actively managed or fallow, and
nonforested on that date) is expected to,
at least in the near term, be sufficient to
support EISA renewable fuel obligations
and other foreseeable demands for crop
products, without clearing and
cultivating additional land. EPA also
believes that economic factors will lead
farmers to use the ‘‘agricultural land’’
available for crop production under
EISA rather than bring new land into
crop production. As a result, EPA is
deeming renewable fuel producers using
domestically-grown crops and crop
residue as feedstock to be in compliance
with the renewable biomass
requirements, and those producers need
not comply with the recordkeeping and
quarterly reporting requirements as
established for the non-crop-based
biomass sector. However, EPA will
annually review USDA data on lands in
agricultural production to determine if
these conclusions remain valid. If EPA
determines that the 2007 baseline
amount of eligible agricultural land has
been exceeded, EPA will publish a
notice of that finding in the Federal
Register. At that point, renewable fuel
producers using planted crops or crop
residue from agricultural lands would
be subject to the same recordkeeping
and reporting requirements as other
renewable fuel producers.
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5. EPA-Moderated Transaction System
We introduced the EPA Moderated
Transaction System (EMTS) in the
NPRM as a new method for managing
the generation of RINs and transactions
involving RINs. EMTS is designed to
resolve the RIN management issues of
RFS1 that lead to widespread RIN
errors, many times resulting in invalid
RINs and often tedious remedial
procedures to resolve those errors. It is
also designed to address the added RIN
categories, more complex RIN
generation requirements, and additional
volume of RINs associated with RFS2.
Commenters broadly support EMTS and
most stated that its use should coincide
with the start of RFS2; however, many
commenters expressed concerns over
having sufficient time to implement the
new system. In today’s action, we are
requiring the use of EMTS for all RFS2
RIN generations and transactions
beginning July 1, 2010. EPA has utilized
an open process for the development of
EMTS since it was first introduced in
the NPRM, conducting workshops and
webinars, and soliciting stakeholder
participation in its evaluation and
testing. EPA pledges to work with the
regulated community, as a group and
individually, to ensure EMTS is
successfully implemented. EPA
anticipates that with this level of
assistance, regulated parties will not
experience significant difficulties in
transitioning to the new system, and
EPA believes that the many benefits of
the new system warrant its immediate
use.
6. Other Changes to the RFS Program
Today’s final rule also makes a
number of other changes to the RFS
program that are described in more
detail in Sections II and III below,
including:
• Grandfathering provisions:
Renewable fuel from existing facilities is
exempt from the lifecycle GHG emission
reduction threshold of 20% up to a
baseline volume for that facility that
will be established at the time of
registration. As discussed in Section
II.B.3, the exemption from the 20% GHG
threshold applies only to renewable fuel
that is produced from facilities which
commenced construction on or before
December 19, 2007, or in the case of
ethanol plants that use natural gas or
biodiesel for process heat, on or before
December 31, 2009.
• Renewable fuels produced from
municipal solid waste (MSW): The new
renewable biomass definition in EISA
modified the ability for MSW-derived
fuels to qualify under the RFS program
by restricting it to ‘‘separated yard waste
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or food waste.’’ We are finalizing
provisions that would allow certain
portions of MSW to be included as
renewable biomass, provided that
reasonable separation has first occurred.
• Equivalence Values: We are
generally maintaining the provisions
from RFS1 that the Equivalence Value
for each renewable fuel will be based on
its energy content in comparison to
ethanol, adjusted for renewable content.
The cellulosic biofuel, advanced
biofuel, and renewable fuel standards
can be met with ethanol-equivalent
volumes of renewable fuel. However,
since the biomass-based diesel standard
is a ‘‘diesel’’ standard, its volume must
be met on a biodiesel-equivalent energy
basis.
• Cellulosic biofuel waiver credits: If
EPA reduces the required volume of
cellulosic biofuel according to the
waiver provisions in EISA, EPA will
offer a number of credits to obligated
parties no greater than the reduced
cellulosic biofuel standard. These
waiver credits are not allowed to be
traded or banked for future use, and are
only allowed to be used to meet the
cellulosic biofuel standard for the year
that they are offered. In response to
concerns expressed in comments on the
proposal, we are implementing certain
restrictions on the use of these waiver
credits. For example, unlike Cellulosic
Biofuel RINs, waiver credits may not be
used to meet either the advanced biofuel
standard or the total renewable fuel
standard. For the 2010 compliance
period, since the cellulosic standard is
lower than the level otherwise required
by EISA, we are making cellulosic
waiver credits available to obligated
parties for end-of-year compliance
should they need them at a price of
$1.56 per gallon-RIN.
• Obligated fuels: EISA expanded the
program to cover ‘‘transportation fuel’’,
not just gasoline. Therefore, under
RFS2, obligated fuel volumes will
include all gasoline and all MVNRLM
diesel fuel. Other fuels such as jet fuel
and fuel intended for use in ocean-going
vessels are not obligated fuels under
RFS2. However, renewable fuels used in
jet fuel or heating oil are valid for
meeting the renewable fuel volume
mandates. Similarly, while we are not
including natural gas, propane, or
electricity used in transportation as
obligated fuels at this time, we will
allow renewable forms of these fuels to
qualify under the program for generating
RINs.
B. Impacts of Increasing Volume
Requirements in the RFS2 Program
The displacement of gasoline and
diesel with renewable fuels has a wide
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range of environmental and economic
impacts. As we describe in Sections IV–
IX, we have assessed many of these
impacts for the final rule. It is difficult
to ascertain how much of these impacts
might be due to the natural growth in
renewable fuel use due to market forces
as crude oil prices rise versus what
might be forced by the RFS2 standards.
Regardless, these assessments provide
important information on the wider
public policy considerations related to
renewable fuel production and use,
climate change, and national energy
security. Where possible, we have tried
to provide two perspectives on the
impacts of the renewable fuel volumes
mandated in EISA—both relative to the
RFS1 mandated volumes, and relative to
a projection from EIA (AEO 2007) of
renewable fuel volumes that would have
been expected without EISA.
Based on the results of our analyses,
when fully phased in by 2022, the
increased volume of renewable fuel
required by this final rule in comparison
to the AEO 2007 forecast would result
in 138 million metric tons fewer CO2equivalent GHG emissions (annual
average over 30 years), the equivalent of
removing 27 million vehicles from the
road today.
At the same time, increases in
emissions of hydrocarbons, nitrogen
oxides, particulate matter, and other
pollutants are projected to lead to
increases in population-weighted
annual average ambient PM and ozone
concentrations, which in turn are
anticipated to lead to up to 245 cases of
adult premature mortality. The air
quality impacts, however, are highly
variable from region to region. Ambient
PM2.5 is likely to increase in areas
associated with biofuel production and
transport and decrease in other areas;
for ozone, many areas of the country
will experience increases and a few
areas will see decreases. Ethanol
concentrations will increase
substantially; for the other modeled air
toxics there are some localized impacts,
but relatively little impact on national
average concentrations. We note that the
air quality modeling results presented in
this final rule do not constitute the
‘‘anti-backsliding’’ analysis required by
Clean Air Act section 211(v). EPA will
be analyzing air quality impacts of
increased renewable fuel use through
that study and will promulgate
appropriate mitigation measures under
section 211(v), separate from this final
action.
In addition to air quality, there are
also expected to be adverse impacts on
both water quality and quantity as the
production of biofuels and their
feedstocks increase.
In addition to environmental impacts,
the increased volumes of renewable
fuels required by this final rule are also
14683
projected to have a number of other
energy and economic impacts. The
increased renewable fuel use is
estimated to reduce dependence on
foreign sources of crude oil, increase
domestic sources of energy, and
diversify our energy portfolio to help in
moving beyond a petroleum-based
economy. The increased use of
renewable fuels is also expected to have
the added benefit of providing an
expanded market for agricultural
products such as corn and soybeans and
open new markets for the development
of cellulosic feedstock industries and
conversion technologies. Overall,
however, we estimate that the
renewable fuel standards will result in
significant net benefits, ranging between
$16 and $29 billion in 2022.
Table I.B–1 summarizes the results of
our impacts analyses of the volumes of
renewable fuels required by the RFS2
standards in 2022 relative to the
AEO2007 reference case and identifies
the section where you can find further
explanation of it. As we work to
implement the requirements of EISA,
we will continue to assess these
impacts. These are the annual impacts
projected in 2022 when the program is
fully phased in. Impacts in earlier years
would differ but in most cases were not
able to be modeled or assessed for this
final rule.
TABLE I.B–1—IMPACT SUMMARY OF THE RFS2 STANDARDS IN 2022 RELATIVE TO THE AEO2007 REFERENCE CASE
(2007 DOLLARS)
Category
Section
discussed
Impact in 2022
Emissions and Air Quality
GHG Emissions .........................................................
Non-GHG Emissions (criteria and toxic pollutants) ...
Nationwide Ozone .....................................................
Nationwide PM2.5 .......................................................
Nationwide Ethanol ....................................................
Other Nationwide Air Toxics ......................................
PM2.5-related Premature Mortality .............................
Ozone-related Premature Mortality ...........................
¥138 million metric tons ....................................................................................
¥1% to +10% depending on the pollutant ........................................................
+0.12 ppb population-weighted seasonal max 8 hr average .............................
+0.002 μg/m3 population-weighted annual average PM2.5 ................................
+0.409 μg/m3 population-weighted annual average ..........................................
¥0.0001 to ¥0.023 μg/m3 population-weighted annual average depending
on the pollutant.
33 to 85 additional cases of adult mortality (estimates vary by study) ..............
36 to 160 additional cases of adult mortality (estimates vary by study) ............
V.D.
VI.A.
VIII.D.
VIII.D.
VI.D.
VI.D.
VIII.D.
VIII.D.
Other Environmental Impacts
Loadings to the Mississippi River from the Upper
Mississippi River Basin.
Nitrogen: +1,430 million lbs. (1.2%) ...................................................................
Phosphorus: +132 million lbs. (0.7%) ................................................................
IX.
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Fuel Costs
Gasoline Costs ..........................................................
Diesel Costs ..............................................................
Overall Fuel Cost .......................................................
Gasoline and Diesel Consumption ............................
¥2.4¢/gal ............................................................................................................
¥12.1 ¢/gal ........................................................................................................
¥$11.8 Billion .....................................................................................................
¥13.6 Bgal .........................................................................................................
VII.D.
VII.D.
VII.D.
VII.C.
Food Costs
Corn ...........................................................................
Soybeans ...................................................................
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+8.2% ..................................................................................................................
+10.3% ................................................................................................................
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VIII.A.
VIII.A.
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TABLE I.B–1—IMPACT SUMMARY OF THE RFS2 STANDARDS IN 2022 RELATIVE TO THE AEO2007 REFERENCE CASE
(2007 DOLLARS)—Continued
Section
discussed
Category
Impact in 2022
Food ...........................................................................
+$10 per capita ...................................................................................................
VIII.A.
Economic Impacts
Energy Security .........................................................
Monetized Health Impacts .........................................
GHG Impacts (SCC) a ................................................
Oil Imports .................................................................
Farm Gate Food ........................................................
Farm Income .............................................................
Corn Exports ..............................................................
Soybean Exports .......................................................
Total Net Benefits b ....................................................
+$2.6 Billion ........................................................................................................
¥$0.63 to ¥$2.2 Billion .....................................................................................
+$0.6 to $12.2 Billion (estimates vary by SCC assumption) .............................
¥$41.5 Billion .....................................................................................................
+$3.6 Billion ........................................................................................................
+$13 Billion (+36%) ............................................................................................
¥$57 Million (¥8%) ...........................................................................................
¥$453 Million (¥14%) .......................................................................................
+$13 to $26 Billion (estimates vary by SCC assumption) .................................
VIII.B.
VIII.D.
VIII.C.
VIII.B
VIII.A.
VIII.A.
VIII.A.
VIII.A.
VIII.F.
a The models used to estimate SCC values have not been exercised in a systematic manner that would allow researchers to assess the probability of different values. Therefore, the interim SCC values should not be considered to form a range or distribution of possible or likely values.
See Section VIII.D for a complete summary of the interim SCC values.
b Sum of Overall Fuel Costs, Energy Security, Monetized Health Impacts, and GHG Impacts (SCC).
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II. Description of the Regulatory
Provisions
While EISA made a number of
changes to CAA section 211(o) that must
be reflected in the RFS program
regulations, it left many of the basic
program elements intact, including the
mechanism for translating national
renewable fuel volume requirements
into applicable standards for individual
obligated parties, requirements for a
credit trading program, geographic
applicability, treatment of small
refineries, and general waiver
provisions. As a result, many of the
regulatory requirements of the RFS1
program will remain largely or, in some
cases, entirely unchanged. These
provisions include the distribution of
RINs, separation of RINs, use of RINs to
demonstrate compliance, provisions for
exporters, recordkeeping and reporting,
deficit carryovers, and the valid life of
RINs.
The primary elements of the RFS
program that we are changing to
implement the requirements in EISA fall
primarily into the following seven areas:
(1) Expansion of the applicable
volumes of renewable fuel.
(2) Separation of the volume
requirements into four separate
categories of renewable fuel, with
corresponding changes to the RIN and to
the applicable standards.
(3) New definitions of renewable fuel,
advanced biofuel, biomass-based diesel,
and cellulosic biofuel.
(4) New requirement that renewable
fuels meet certain lifecycle emission
reduction thresholds.
(5) New definition of renewable
biomass from which renewable fuels
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can be made, including certain land use
restrictions.
(6) Expansion of the types of fuels that
are subject to the standards to include
diesel.
(7) Inclusion of specific types of
waivers for different categories of
renewable fuels and, in certain
circumstances, EPA-generated credits
for cellulosic biofuel.
EISA does not change the basic
requirement under CAA 211(o) that the
RFS program include a credit trading
program. In the May 1, 2007 final
rulemaking implementing the RFS1
program, we described how we
reviewed a variety of approaches to
program design in collaboration with
various stakeholders. We finally settled
on a RIN-based system for compliance
and credit purposes as the one which
met our goals of being straightforward,
maximizing flexibility, ensuring that
volumes are verifiable, and maintaining
the existing system of fuel distribution
and blending. RINs represent the basic
framework for ensuring that the
statutorily required volumes of
renewable fuel are used as
transportation fuel in the U.S. Since the
RIN-based system generally has been
successful in meeting the statutory
goals, we are maintaining much of its
structure under RFS2.
This section describes the regulatory
changes we are finalizing to implement
the new EISA provisions. Section III
describes other changes to the RFS
program that we considered or are
finalizing, including an EPA-moderated
RIN trading system that provides a
context within which all RIN transfers
will occur.
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A. Renewable Identification Numbers
(RINs)
Under RFS2, each RIN will continue
to represent one gallon of renewable
fuel in the context of demonstrating
compliance with Renewable Volume
Obligations (RVO), consistent with our
approach under RFS1, and the RIN will
continue to have unique information
similar to the 38 digits in RFS1.
However in the EPA Moderated
Transaction System (EMTS), RIN detail
information will be available but
generally hidden during transactions. In
general the codes within the RIN will
have the same meaning under RFS2 as
they do under RFS1, with the exception
of the D code which will be expanded
to cover the four categories of renewable
fuel defined in EISA.
As described in Section I.A.2, the
RFS2 regulatory program will go into
effect on July 1, 2010, but the 2010
percentage standards issued as part of
today’s rule will apply to all gasoline
and diesel produced or imported on or
after January 1, 2010. As a result, some
2010 RINs will be generated under the
RFS1 requirements and others will be
generated under the RFS2 requirements,
but all RINs generated in 2010 will be
valid for meeting the 2010 annual
standards. Since RFS1 RINs and RFS2
RINs will differ in the meaning of the D
codes, we are implementing a
mechanism for distinguishing between
these two categories of RINs in order to
appropriately apply them to the
standards. In short, we are requiring the
use of D codes under RFS2 that do not
overlap the values for the D codes under
RFS1. Table II.A–1 describes the D code
definitions we are finalizing in today’s
action.
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TABLE II.A–1—FINAL D CODE DEFINITIONS
D value
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1
2
3
4
5
6
7
Meaning under RFS1
............................................................
............................................................
............................................................
............................................................
............................................................
............................................................
............................................................
Meaning under RFS2
Cellulosic biomass ethanol .................................................................................
Any renewable fuel that is not cellulosic biomass ethanol ................................
Not applicable .....................................................................................................
Not applicable .....................................................................................................
Not applicable .....................................................................................................
Not applicable .....................................................................................................
Not applicable .....................................................................................................
Not applicable.
Not applicable.
Cellulosic biofuel.
Biomass-based diesel.
Advanced biofuel.
Renewable fuel.
Cellulosic diesel.
Under this approach, D code values of
1 and 2 are only relevant for RINs
generated under RFS1, and D code
values of 3, 4, 5, 6, and 7 are only
relevant for RINs generated under RFS2.
As described in Section I.A.2, the RFS1
regulations will apply in January
through June of 2010, while the RFS2
regulations will become effective on
July 1, 2010. RINs generated under RFS1
regulations in the first three months of
2010 can be used for meeting the four
2010 standards applicable under RFS2.
To accomplish this, these RFS1 RINs
will be subject to the RFS1/RFS2
transition provisions wherein they will
be deemed equivalent to one of the four
RFS2 RIN categories using their RR and/
or D codes. See Section II.G.4 for further
description of how RFS1 RINs will be
used to meet standards under RFS2. The
determination of which D code will be
assigned to a given batch of renewable
fuel is described in more detail in
Section II.D.2 below.
Table II.A–1 includes one D code
corresponding to each of the four
renewable fuel categories defined in
EISA, and an additional D code of 7
corresponding to the unique, additional
type of renewable fuel called cellulosic
diesel. As described in the NPRM, a
diesel fuel product produced from
cellulosic feedstocks that meets the 60%
GHG threshold could qualify as either
cellulosic biofuel or biomass-based
diesel. The NPRM described two
possible approaches to this unique
category of renewable fuel:
1. Have the producer of the cellulosic
diesel designate their fuel up front as
either cellulosic biofuel with a D code
of 3, or biomass-based diesel with a D
code of 4, limiting the subsequent
potential in the marketplace for the RIN
to be used for just one standard or the
other.
2. Have the producer of the cellulosic
diesel designate their fuel with a new
cellulosic D code of 7, allowing the
subsequent use of the RIN in the
marketplace interchangeably for either
the cellulosic biofuel standard or the
biomass-based diesel standard.
We are finalizing the second option.
By creating an additional D code of 7 to
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represent cellulosic diesel RINs, we
believe its value in the marketplace will
be maximized as it will be priced
according to the relative demand for
cellulosic biofuel and biomass-based
diesel RINs. For instance, if demand for
cellulosic biofuel RINs is higher than
demand for biomass-based diesel RINs,
then cellulosic diesel RINs will be
priced as if they are cellulosic biofuel
RINs. Not only does this approach
benefit producers, but it allows
obligated parties the flexibility to apply
a RIN with a D code of 7 to either their
cellulosic biofuel RVO or their biomassbased diesel RVO, depending on the
number of RINs they have acquired to
meet these two obligations. It also helps
the functionality of the RIN program by
helping protect against the potential for
artificial RIN shortages in the
marketplace for one standard or the
other even though sufficient qualifying
fuel was produced.
Under RFS2, each batch-RIN
generated will continue to uniquely
identify not only a specific batch of
renewable fuel, but also every gallonRIN assigned to that batch. Thus the RIN
will continue to be defined as follows:
RIN: KYYYYCCCCFFFFFBBBBBRRDSS
SSSSSSEEEEEEEE
Where:
K = Code distinguishing assigned RINs from
separated RINs
YYYY = Calendar year of production or
import
CCCC = Company ID
FFFFF = Facility ID
BBBBB = Batch number
RR = Code identifying the Equivalence Value
D = Code identifying the renewable fuel
category
SSSSSSSS = Start of RIN block
EEEEEEEE = End of RIN block
B. New Eligibility Requirements for
Renewable Fuels
Aside from the higher volume
requirements, most of the substantive
changes that EISA makes to the RFS
program affect the eligibility of
renewable fuels in meeting one of the
four volume requirements. Eligibility is
determined based on the types of
feedstocks that are used, the land that is
used to grow feedstocks for renewable
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fuel production, the processes that are
used to convert those feedstocks into
fuel, and the lifecycle greenhouse gas
(GHG) emissions that are emitted in
comparison to the gasoline or diesel that
the renewable fuel displaces. This
section describes these eligibility
criteria and how we are implementing
them for the RFS2 program.
1. Changes in Renewable Fuel
Definitions
Under the previous Renewable Fuel
Standards (RFS1), renewable fuel was
defined generally as ‘‘any motor vehicle
fuel that is used to replace or reduce the
quantity of fossil fuel present in a fuel
mixture used to fuel a motor vehicle’’.
The RFS1 definition included motor
vehicle fuels produced from biomass
material such as grain, starch, fats,
greases, oils, and biogas. The definition
specifically included cellulosic biomass
ethanol, waste derived ethanol, and
biodiesel, all of which were defined
separately. (See 72 FR 23915).
The definitions of renewable fuels
under today’s rule (RFS2) are based on
the new statutory definition in EISA.
Like the previous rules, the definitions
in RFS2 include a general definition of
renewable fuel, but unlike RFS1, we are
including a separate definition of
‘‘Renewable Biomass’’ which identifies
the feedstocks from which renewable
fuels may be made.
Another difference in the definitions
of renewable fuel is that RFS2 contains
three subcategories of renewable fuels:
(1) Advanced Biofuel, (2) Cellulosic
Biofuel and (3) Biomass-Based Diesel.
Each must meet threshold levels of
reduction of greenhouse gas emissions
as discussed in Section II.B.2. The
specific definitions and how they differ
from RFS1 follow below.
a. Renewable Fuel
‘‘Renewable Fuel’’ is defined as fuel
produced from renewable biomass and
that is used to replace or reduce the
quantity of fossil fuel present in a
transportation fuel. The definition of
‘‘Renewable Fuel’’ now refers to
‘‘transportation fuel’’ rather than
referring to motor vehicle fuel.
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‘‘Transportation fuel’’ is also defined,
and means fuel used in motor vehicles,
motor vehicle engines, nonroad vehicles
or nonroad engines (except for ocean
going vessels). Also renewable fuel now
includes heating fuel and jet fuel.
Given that the primary use of
electricity, natural gas, and propane is
not for fueling vehicles and engines, and
the producer generally does not know
how it will be used, we cannot require
that producers or importers of these
fuels generate RINs for all the volumes
they produce as we do with other
renewable fuels. However, we are
allowing fuel producers, importers and
end users to include electricity, natural
gas, and propane made from renewable
biomass as a RIN-generating renewable
fuel in RFS only if they can identify the
specific quantities of their product
which are actually used as a
transportation fuel,. This may be
possible for some portion of renewable
electricity and biogas since many of the
affected vehicles and equipment are in
centrally-fueled fleets supplied under
contract by a particular producer or
importer of natural gas or propane. A
producer or importer of renewable
electricity or biogas who documents the
use of his product in a vehicle or engine
through a contractual pathway would be
allowed to generate RINs to represent
that product, if it met the definition of
renewable fuel. (This is also discussed
in Section II.D.2.a)
b. Advanced Biofuel
‘‘Advanced Biofuel’’ is a renewable
fuel other than ethanol derived from
corn starch and for which lifecycle GHG
emissions are at least 50% less than the
gasoline or diesel fuel it displaces.
Advanced biofuel would be assigned a
D code of 5 as shown in Table II.A–1.
While ‘‘Advanced Biofuel’’
specifically excludes ethanol derived
from corn starch, it includes other types
of ethanol derived from renewable
biomass, including ethanol made from
cellulose, hemicellulose, lignin, sugar or
any starch other than corn starch, as
long as it meets the 50% GHG emission
reduction threshold. Thus, even if corn
starch-derived ethanol were made so
that it met the 50% GHG reduction
threshold, it will still be excluded from
being defined as an advanced biofuel.
Such ethanol while not an advanced
biofuel will still qualify as a renewable
fuel for purposes of meeting the
standards.
c. Cellulosic Biofuel
Cellulosic biofuel is renewable fuel
derived from any cellulose,
hemicellulose, or lignin each of which
must originate from renewable biomass.
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It must also achieve a lifecycle GHG
emission reduction of at least 60%,
compared to the gasoline or diesel fuel
it displaces. Cellulosic biofuel is
assigned a D code of 3 as shown in
Table II.A–1. Cellulosic biofuel in
general also qualifies as both ‘‘advanced
biofuel’’ and ‘‘renewable fuel’’.
The definition of cellulosic biofuel for
RFS2 is broader in some respects than
the RFS1 definition of ‘‘cellulosic
biomass ethanol’’. That definition
included only ethanol, whereas the
RFS2 definition of cellulosic biofuels
includes any biomass-to-liquid fuel
such as cellulosic gasoline or diesel in
addition to ethanol. The definition of
‘‘cellulosic biofuel’’ in RFS2 differs from
RFS1 in another significant way. The
RFS1 definition provided that ethanol
made at any facility—regardless of
whether cellulosic feedstock is used or
not—may be defined as cellulosic if at
such facility ‘‘animal wastes or other
waste materials are digested or
otherwise used to displace 90% or more
of the fossil fuel normally used in the
production of ethanol.’’ This provision
was not included in EISA, and therefore
does not appear in the definitions
pertaining to cellulosic biofuel in the
final rule.
d. Biomass-Based Diesel
‘‘Biomass-based diesel’’ includes both
biodiesel (mono-alkyl esters) and nonester renewable diesel (including
cellulosic diesel). The definition of
biodiesel is the same very broad
definition of ‘‘biodiesel’’ that was in
EPAct and in RFS1, and thus, it
includes any diesel fuel made from
biomass feedstocks. However, EISA
added three restrictions. First, EISA
requires that such fuel be made from
renewable biomass. Second, its lifecycle
GHG emissions must be at least 50%
less than the diesel fuel it displaces.
Third, the statutory definition of
‘‘Biomass-based diesel’’ excludes
renewable fuel derived from coprocessing biomass with a petroleum
feedstock. In our proposed rule, we
sought comment on two options for how
co-processing could be treated. The first
option considered co-processing to
occur only if both petroleum and
biomass feedstock are processed in the
same unit simultaneously. The second
option considered co-processing to
occur if renewable biomass and
petroleum feedstock are processed in
the same unit at any time; i.e., either
simultaneously or sequentially. Under
the second option, if petroleum
feedstock was processed in the unit,
then no fuel produced from such unit,
even from a biomass feedstock, would
be deemed to be biomass-based diesel.
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We selected the first option to be used
in the final rule. Under this approach,
a batch of fuel qualifying for the D code
of 4 that is produced in a processing
unit in which only renewable biomass
is the feedstock for such batch, will
meet the definition of ‘‘Biomass-Based
Diesel. Thus, serial batch processing in
which 100% vegetable oil is processed
one day/week/month and 100%
petroleum the next day/week/month
could occur without the activity being
considered ‘‘co-processing.’’ The
resulting products could be blended
together, but only the volume produced
from vegetable oil will count as
biomass-based diesel. We believe this is
the most straightforward approach and
an appropriate one, given that it would
allow RINs to be generated for volumes
of fuel meeting the 50% GHG reduction
threshold that is derived from
renewable biomass, while not providing
any credit for fuel derived from
petroleum sources. In addition, this
approach avoids the need for potentially
complex provisions addressing how fuel
should be treated when existing or even
mothballed petroleum hydrotreating
equipment is retrofitted and placed into
new service for renewable fuel
production or vice versa.
Under today’s rule, any fuel that does
not satisfy the definition of biomassbased diesel only because it is coprocessed with petroleum will still meet
the definition of ‘‘Advanced Biofuel’’
provided it meets the 50% GHG
threshold and other criteria for the D
code of 5. Similarly it will meet the
definition of renewable fuel if it meets
a GHG emission reduction threshold of
20%. In neither case, however, will it
meet the definition of biomass-based
diesel.
This restriction is only really an issue
for renewable diesel and biodiesel
produced via the fatty acid methyl ester
(FAME) process. For other forms of
biodiesel, it is never made through any
sort of co-processing with petroleum.3
Producers of renewable diesel must
therefore specify whether or not they
use ‘‘co-processing’’ to produce the fuel
in order to determine the correct D code
for the RIN.
e. Additional Renewable Fuel
The statutory definition of ‘‘additional
renewable fuel’’ specifies fuel produced
3 The production of biodiesel (mono alkyl esters)
does require the addition of methanol which is
usually derived from natural gas, but which
contributes a very small amount to the resulting
product. We do not believe that this was intended
by the statute’s reference to ‘‘co-processing’’ which
we believe was intended to address only renewable
fats or oils co-processed with petroleum in a
hydrotreater to produce renewable diesel.
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from renewable biomass that is used to
replace or reduce fossil fuels used in
heating oil or jet fuel. EISA indicates
that EPA may allow for the generation
of credits for such additional renewable
fuel that will be valid for compliance
purposes. Under the RFS program, RINs
operate in the role of credits, and RINs
are generated when renewable fuel is
produced rather than when it is
blended. In most cases, however,
renewable fuel producers do not know
at the time of fuel production (and RIN
generation) how their fuel will
ultimately be used.
Under RFS1, only RINs assigned to
renewable fuel that was blended into
motor vehicle fuel (i.e., highway fuel)
are valid for compliance purposes. We
therefore created special provisions
requiring that RINs be retired if they
were assigned to renewable fuel that
was ultimately blended into nonroad
fuel. The new EISA provisions regarding
additional renewable fuel make the
RFS1 requirement for retiring RINs
unnecessary if renewable fuel is
blended into heating oil or jet fuel. As
a result, we have modified the
regulatory requirements to allow RINs
assigned to renewable fuel blended into
heating oil or jet fuel in addition to
highway and nonroad transportation
fuels to continue to be valid for
compliance purposes. From a regulatory
standpoint, there is no difference
between renewable fuels used for
transportation purposes, versus heating
oil and jet fuels.
EISA uses the term ‘‘home heating oil’’
in the definition of ‘‘additional
renewable fuel.’’ The statute does not
clarify whether the term should be
interpreted to refer only to heating oil
actually used in homes, or to all fuel of
a type that can be used in homes. We
note that the term ‘‘home heating oil’’ is
typically used in industry in the latter
manner, to refer to a type of fuel, rather
than a particular use of it, and the term
is typically used interchangeably in
industry with heating oil, heating fuel,
home heating fuel, and other terms
depending on the region and market.
We believe this broad interpretation
based on typical industry usage best
serves the goals and purposes of the
statute. If EPA interpreted the term to
apply only to heating oil actually used
in homes, we would necessarily require
tracking of individual gallons from
production through ultimate use in use
in homes in order to determine
eligibility of the fuel for RINs. Given the
fungible nature of the oil delivery
market, this would likely be sufficiently
difficult and potentially expensive so as
to discourage the generation of RINs for
renewable fuels used as home heating
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oil. This problem would be similar to
that which arose under RFS1 for certain
renewable fuels (in particular biodiesel)
that were produced for the highway
diesel market but were also suitable for
other markets such as heating oil and
non-road applications where it was
unclear at the time of fuel production
(when RINs are typically generated
under the RFS program) whether the
fuel would ultimately be eligible to
generate RINs. Congress eliminated the
complexity with regards to non-road
applications in RFS2 by making all fuels
used in both motor vehicle and nonroad
applications subject to the renewable
fuel standard program. We believe it
best to interpret the Act so as to also
avoid this type of complexity in the
heating oil context. Thus, under today’s
regulations, RINs may be generated for
renewable fuel used as ‘‘heating oil,’’ as
defined in existing EPA regulations at
80.2(ccc). In addition to simplifying
implementation and administration of
the Act, this interpretation will best
realize the intent of EISA to reduce or
replace the use of fossil fuels,
f. Cellulosic Diesel
In the proposed rule, we sought
comment on how diesel made from
cellulosic feedstocks should be
considered. Specifically, a diesel fuel
product produced from cellulosic
feedstocks that meets the 60% GHG
threshold could qualify as either
cellulosic biofuel or biomass-based
diesel. Based on comments received,
and as discussed previously in Section
II.A, today’s rule requires the cellulosic
diesel producer to categorize their
product as cellulosic diesel with a D
code of 7. It can then be traded in the
marketplace and used for compliance
with either the biomass-based diesel
standard or the cellulosic biofuel
standard.
2. Lifecycle GHG Thresholds
As part of the new definitions that
EISA creates for cellulosic biofuel,
biomass-based diesel, advanced biofuel,
and renewable fuel, EISA also sets
minimum performance measures or
‘‘thresholds’’ for lifecycle GHG
emissions. These thresholds represent
the percent reduction in lifecycle GHGs
that is estimated to occur when a
renewable fuel displaces gasoline or
diesel fuel. Table II.B.2–1 lists the
thresholds established by EISA.
TABLE II.B.2–1—LIFECYCLE GHG
THRESHOLDS IN EISA
[Percent reduction from a 2005 gasoline or
diesel baseline]
Renewable fuel .................................
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20%
14687
TABLE II.B.2–1—LIFECYCLE GHG
THRESHOLDS IN EISA—Continued
[Percent reduction from a 2005 gasoline or
diesel baseline]
Advanced biofuel ..............................
Biomass-based diesel ......................
Cellulosic biofuel ...............................
50%
50%
60%
There are also special provisions for
each of these thresholds:
Renewable fuel: The 20% threshold
only applies to renewable fuel from new
facilities that commenced construction
after December 19, 2007, with an
additional exemption from the 20%
threshold for ethanol plants that
commenced construction in 2008 or
2009 and are fired with natural gas,
biomass, or any combination thereof.
Facilities not subject to the 20%
threshold are ‘‘grandfathered.’’ See
Section II.B.3 below for a complete
discussion of grandfathering. Also, EPA
can adjust the 20% threshold to as low
as 10%, but the adjustment must be the
minimum possible, and the resulting
threshold must be established at the
maximum achievable level based on
natural gas fired corn-based ethanol
plants.
Advanced biofuel and biomass-based
diesel: The 50% threshold can be
adjusted to as low as 40%, but the
adjustment must be the minimum
possible and result in the maximum
achievable threshold taking cost into
consideration. Also, such adjustments
can be made only if it is determined that
the 50% threshold is not commercially
feasible for fuels made using a variety of
feedstocks, technologies, and processes.
Cellulosic biofuel: Similarly to
advanced biofuel and biomass-based
diesel, the 60% threshold applicable to
cellulosic biofuel can be adjusted to as
low as 50%, but the adjustment must be
the minimum possible and result in the
maximum achievable threshold taking
cost into consideration. Also, such
adjustments can be made only if it is
determined that the 60% threshold is
not commercially feasible for fuels made
using a variety of feedstocks,
technologies, and processes.
Our analyses of lifecycle GHG
emissions, discussed in detail in Section
V, identified a range of fuel pathways
that are capable of complying with the
GHG performance thresholds for each of
these separate fuel standards. Thus, we
have determined that the GHG
thresholds in Table II.B.2–1 should not
be adjusted. Further discussion of this
determination can be found in Section
V.C.
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3. Renewable Fuel Exempt From 20
Percent GHG Threshold
After considering comments received,
the Agency has decided to implement
the proposed option for interpreting the
grandfathering provisions that provide
an indefinite exemption from the 20
percent GHG threshold for renewable
fuel facilities which have commenced
construction prior to December 19,
2007. For these facilities, only the
baseline volume of renewable fuel is
exempted. For ethanol facilities which
commenced construction after that date
and which use natural gas, biofuels or
a combination thereof, we proposed that
such facilities would be ‘‘deemed
compliant’’ with the 20 percent GHG
threshold. The exemption for such
facilities is conditioned on construction
being commenced on or before
December 31, 2009, and is specific only
to facilities which produce ethanol only,
per language in EISA. The exemption
would continue indefinitely, provided
the facility continues to use natural gas
and/or biofuel. This section provides
the background and summary of the
original proposal, and the reasons for
the selection of this option.
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a. General Background of the Exemption
Requirement
EISA amends section 211(o) of the
Clean Air Act to provide that renewable
fuel produced from new facilities which
commenced construction after
December 19, 2007 must achieve at least
a 20% reduction in lifecycle greenhouse
gas emissions compared to baseline
lifecycle greenhouse gas emissions.7
Facilities that commenced construction
before December 19, 2007 are
‘‘grandfathered’’ and thereby exempt
from the 20% GHG reduction
requirement.
For facilities that produce ethanol and
for which construction commenced after
December 19, 2007, section 210 of EISA
states that ‘‘for calendar years 2008 and
2009, any ethanol plant that is fired
with natural gas, biomass, or any
combination thereof is deemed to be in
compliance with the 20% threshold.’’
Since all renewable fuel production
facilities that commenced construction
prior to the date of EISA enactment are
covered by the more general
grandfathering provision, this
exemption can only apply to those
facilities that commenced construction
after enactment of EISA, and before the
end of 2009. We proposed that the
statute be interpreted to mean that fuel
from such qualifying facilities,
regardless of date of startup of
operations, would be exempt from the
20% GHG threshold requirement for the
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same time period as facilities that
commence construction prior to
December 19, 2007, provided that such
plants commence construction on or
before December 31, 2009, complete
such construction in a reasonable
amount of time, and continue to burn
only natural gas, biomass, or a
combination thereof. Most commenters
generally agreed with our proposal,
while other commenters argued that the
exemption was only meant to last for a
two-year period. As we noted in the
NPRM, we believe that it would be a
harsh result for investors in these new
facilities, and would be generally
inconsistent with the energy
independence goals of EISA, to interpret
the Act such that these facilities would
only be guaranteed two years of
participation in the RFS2 program. In
light of these considerations, we
continue to believe that it is an
appropriate interpretation of the Act to
allow the deemed compliant exemption
to continue indefinitely with the
limitations we proposed. Therefore we
are making final this interpretation in
today’s rule.
b. Definition of Commenced
Construction
In defining ‘‘commence’’ and
‘‘construction’’, we proposed to use the
definitions of ‘‘commence’’ and ‘‘begin
actual construction’’ from the Prevention
of Significant Deterioration (PSD)
regulations, which draws upon
definitions in the Clean Air Act. (40
CFR 52.21(b)(9) and (11)). Specifically,
under the PSD regulations, ‘‘commence’’
means that the owner or operator has all
necessary preconstruction approvals or
permits and either has begun a
continuous program of actual on-site
construction to be completed in a
reasonable time, or entered into binding
agreements which cannot be cancelled
or modified without substantial loss.’’
Such activities include, but are not
limited to, ‘‘installation of building
supports and foundations, laying
underground pipe work and
construction of permanent storage
structures.’’ We proposed adding
language to the definition that is
currently not in the PSD definition with
respect to multi-phased projects. We
proposed that for multi-phased projects,
commencement of construction of one
phase does not constitute
commencement of construction of any
later phase, unless each phase is
‘‘mutually dependent’’ on the other on a
physical and chemical basis, rather than
economic.
The PSD regulations provide
additional conditions beyond
addressing what constitutes
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commencement. Specifically, the
regulations require that the owner or
operator ‘‘did not discontinue
construction for a period of 18 months
or more and completed construction
within a reasonable time.’’ (40 CFR
52.21(i)(4)(ii)(c)). While ‘‘reasonable
time’’ may vary depending on the type
of project, we proposed that for RFS2 a
reasonable time to complete
construction of renewable fuel facilities
be no greater than 3 years from initial
commencement of construction. We
sought comment on this time frame.
Commenters generally agreed with
our proposed definition of commenced
construction. Some commenters felt that
the 3 year time frame was not a
‘‘reasonable time’’ to complete
construction in light of the economic
difficulties that businesses have been
and will likely continue to be facing. We
recognize that there have been extreme
economic problems in the past year.
Based on historical data which show
construction of ethanol plants typically
take about one year, we believe that the
3-year time frame allows such
conditions to be taken into account and
that it is an appropriate and fair amount
of time to allow for completion.
Therefore, we are not extending the
amount of time that constitutes
‘‘reasonable’’ to five years as was
suggested.
c. Definition of Facility Boundary
We proposed that the grandfathering
and deemed compliant exemptions
apply to ‘‘facilities.’’ Our proposed
definition of this term is similar in some
respects to the definition of ‘‘building,
structure, facility, or installation’’
contained in the PSD regulations in 40
CFR 52.21. We proposed to modify the
definition, however, to focus on the
typical renewable fuel plant. We
proposed to describe the exempt
‘‘facilities’’ as including all of the
activities and equipment associated
with the manufacture of renewable fuel
which are located on one property and
under the control of the same person or
persons. Commenters agreed with our
proposed definition of ‘‘facility’’ and we
are making that definition final today.
d. Proposed Approaches and
Consideration of Comments
We proposed one basic approach to
the exemption provisions and sought
comment on five additional options.
The basic approach would provide an
indefinite extension of grandfathering
and deemed compliant status but with
a limitation of the exemption from the
20% GHG threshold to a baseline
volume of renewable fuel. The five
additional options for which we sought
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comment were: (1) Expiration of
exemption for grandfathered and
‘‘deemed compliant’’ status when
facilities undergo sufficient changes to
be considered ‘‘reconstructed’’; (2)
Expiration of exemption 15 years after
EISA enactment, industry-wide; (3)
Expiration of exemption 15 years after
EISA enactment with limitation of
exemption to baseline volume; (4)
‘‘Significant’’ production components
are treated as facilities and
grandfathered or deemed compliant
status ends when they are replaced; and
(5) Indefinite exemption and no
limitations placed on baseline volumes.
i. Comments on the Proposed Basic
Approach
Generally, commenters supported the
basic approach in which the volume of
renewable fuel from grandfathered
facilities exempt from the 20% GHG
reduction threshold would be limited to
baseline volume. One commenter
objected to the basic approach and
argued that the statute’s use of the word
‘‘new’’ and the phrase ‘‘after December
19, 2007’’ provided evidence that
facilities which commenced
construction prior to that date would
not ever be subject to the threshold
regardless of the volume produced from
such facilities. In response, we note first
that the statute does not provide a
definition of the term ‘‘new facilities’’ for
which the 20% GHG threshold applies.
We believe that it would be reasonable
to include within our interpretation of
this term a volume limitation, such that
a production plant is considered a new
facility to the extent that it produces
renewable fuel above baseline capacity.
This approach also provides certainty in
the marketplace in terms of the volumes
of exempt fuel, and a relatively
straightforward implementation and
enforcement mechanism as compared to
some of the other alternatives
considered. Furthermore, EPA believes
that the Act should not be interpreted as
allowing unlimited expansion of exempt
facilities for an indefinite time period,
with all volumes exempt, as suggested
by the commenter. Such an approach
would likely lead to a substantial
increase in production of fuel that is not
subject to any GHG limitations, which
EPA does not believe would be
consistent with the objectives of the Act.
We solicited comment on whether
changes at a facility that resulted in an
increase in GHG emissions, such as a
change in fuel or feedstock, should
terminate the facility’s exemption from
the 20 percent GHG threshold.
Generally, commenters did not support
such a provision, pointing out that there
are many variations within a plant that
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cannot be adequately captured in a table
of fuel and feedstock pathways as we
proposed (see 74 FR 24927).
Implementing such a provision would
create questions of accounting and
tracking that would need to be
evaluated on a time-consuming case-bycase basis. For example, if a switch to
a different feedstock or production
process resulted in less efficiency,
facilities may argue that they are
increasing energy efficiency elsewhere
(e.g. purchasing waste heat instead of
burning fuel onsite to generate steam).
We would then need to assess such
changes to track the net energy change
a plant undergoes. Given the added
complexity and difficulty in carrying
out such an option, we have decided
generally not to implement it. There is
an exception, however, for ‘‘deemed
compliant’’ facilities. These facilities
achieve their status in part by being
fired only by natural gas or biomass, or
a combination thereof. Today’s rule
provides, as proposed, that these
facilities will lose their exemption if
they switch to a fuel other than natural
gas, biomass, or a combination thereof,
since these were conditions that
Congress deemed critical to granting
them the exemption from the 20% GHG
reduction requirement.
We also solicited comment on
whether we should allow a 10%
tolerance on the baseline volume for
which RINs can be generated without
complying with the 20% GHG reduction
threshold to allow for increases in
volume due to debottlenecking. Some
favored this concept, while others
argued that the tolerance should be set
at 20 percent. After considering the
comments received, we have decided
that a 10% (and 20%) level is not
appropriate for this regulation for the
following reasons: (1) We have decided
to interpret the exemption of the
baseline volume of renewable fuel from
the 20 percent requirement as extending
indefinitely. Any tolerance provided
could, therefore, be present in the
marketplace for a considerable time
period; (2) increases in volume of 10%
or greater could be the result of
modifications other than
debottlenecking. Consistent with the
basic approach we are taking today
towards interpreting the grandfathering
and deemed compliant provisions, we
believe that the fuel produced as a result
of such modifications comes from ‘‘new
facilities’’ within the meaning of the
statute, and should be subject to the
20% GHG reduction requirement; (3) we
are allowing baseline volume to be
based on the maximum capacity that is
allowed under state and federal air
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14689
permits. With respect to the last reason,
facilities that have been operating below
the capacity allowed in their state
permits would be able to claim a
baseline volume based on the maximum
capacity. As such, these facilities may
indeed be able to increase their volume
by 10 to 20 percent by virtue of how
their baseline volume is defined. We
believe this is appropriate, however,
since their permits should reflect their
design, and the fuel resulting from their
original pre-EISA (or pre-2010, for
deemed compliant facilities) design
should be exempt from the 20% GHG
reduction requirement. Nevertheless, we
recognize and agree with commenters
that some allowances should be made
for minor changes brought about by
normal maintenance which are
consistent with the proper operation of
a facility. EPA is not aware of a
particular study or analysis that could
be used as a basis for picking a tolerance
level reflecting this concept, We believe,
however, that the value should be
relatively small, so as not to encourage
plant expansions that are unrelated to
debottlenecking. We believe that a 5%
tolerance level is consistent with these
considerations, and have incorporated
that value in today’s rule.
ii. Comments on the Expiration of
Grandfathered Status
Commenters who supported an
expiration of the exemption did so
because of concerns that the proposed
approach of providing an indefinite
exemption would not provide any
incentives to bring these plants into
compliance with current standards.
They also objected to plants being
allowed an indefinite period beyond the
time period when it could be expected
that they would have paid off their
investors. The commenters argued that
the cost of operation for such plants
would be less than competing plants
that do have to comply with current
standards; as such, commenters
opposed to the basic approach felt an
indefinite exemption would be a
subsidy to plants that will never comply
with the 20 percent threshold level. The
renewable fuels industry, on the other
hand, viewed the options that would set
an expiration date (either via
cumulative reconstruction, or a 15-year
period from date of enactment) as harsh,
particularly if the lifecycle analysis
results make it costly for existing
facilities to meet the 20% threshold.
Some also argued that no such temporal
limitation appears in the statute.
We considered such comments, but in
light of recent lifecycle analyses we
conducted in support of this rule we
have concluded that many of the current
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technology corn ethanol plants may find
it difficult if not impossible to retrofit
existing plants to comply with the 20
percent GHG reduction threshold. In
addition, the renewable fuels industry
viewed the alternative proposals that
would set an expiration date (either via
cumulative reconstruction, or a 15-year
period from date of enactment) as harsh,
particularly if the lifecycle analysis
results make it costly for existing
facilities to meet the 20% threshold.
Given the difficulty of meeting such
threshold, owners of such facilities
could decide to shut down the plant.
Given such implications of meeting the
20 percent threshold level for existing
facilities we have chosen not to finalize
any expiration date.
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e. Final Grandfathering Provisions
For the reasons discussed above, the
Agency has decided to proceed with the
proposed baseline volume approach,
rather than the expiration options. We
hold open the possibility, therefore, of
revisiting and reproposing the
exemption provision in a future
rulemaking to take such advances into
account. Ending the grandfathering
exemption after its usefulness is over
would help to streamline the ongoing
implementation of the program.
The final approach adopted today is
summarized as follows:
i. Increases in volume of renewable fuel
produced at grandfathered facilities due
to expansion
For facilities that commenced
construction prior to December 19,
2007, we are defining the baseline
volume of renewable fuel exempt from
the 20% GHG threshold requirement to
be the maximum volumetric capacity of
the facility that is allowed in any
applicable state air permit or Federal
Title V operating permit.4 We had
proposed in the NPRM that nameplate
capacity be defined as permitted
capacity, but that if the capacity was not
stipulated in any federal, state or local
air permit, then the actual peak output
should be used. We have decided that
since permitted capacity is the limiting
condition, by virtue of it being an
enforceable limit contained in air
permits, that the term ‘‘nameplate
capacity’’ is not needed. In addition, we
are allowing a 5% tolerance as
discussed earlier. Therefore, today’s rule
defines permitted capacity as 105% of
the maximum permissible volume
4 Volumes also include expansions to existing
facilities, provided that the construction for such
expansion commences prior to December 19, 2007.
In such instances, the total volume from the original
facility plus the additional volume due to
expansion is grandfathered.
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output of renewable fuel allowed under
operating conditions specified in all
applicable preconstruction, construction
and operating permits issued by
regulatory authorities (including local,
regional, state or a foreign equivalent of
a state, and federal permits). If the
capacity of a facility is not stipulated in
such air permits, then the grandfathered
volume is 105% of the maximum
annual volume produced for any of the
last five calendar years prior to 2008.
Volumes greater than this amount
which may typically be due to
expansions of the facility which occur
after December 19, 2007, will be subject
to the 20% GHG reduction requirement
if the facility wishes to generate RINs for
the incremental expanded volume. The
increased volume will be considered as
if produced from a ‘‘new facility’’ which
commenced construction after
December 19, 2007. Changes that might
occur to the mix of renewable fuels
produced within the facility are
irrelevant—they remain grandfathered
as long as the overall volume falls
within the baseline volume. Thus, for
example, if an ethanol facility changed
its operation to produce butanol, but the
baseline volume remained the same, the
fuel so produced would be exempt from
the 20% GHG reduction requirement.
The baseline volume will be defined
as above for deemed compliant facilities
(those ethanol facilities fired by natural
gas or biomass or a combination thereof
that commenced construction after
December 19, 2007 but before January 1,
2010) with the exception that if the
maximum capacity is not stipulated in
air permits, then the exempt volume is
the maximum annual peak production
during the plant’s first three years of
operation. In addition, any production
volume increase that is attributable to
construction which commenced prior to
December 31, 2009 would be exempt
from the 20% GHG threshold, provided
that the facility continued to use natural
gas, biomass or a combination thereof
for process energy. Because deemed
compliant facilities owe their status to
the fact that they use natural gas,
biomass or a combination thereof for
process heat, their status will be lost,
and they will be subject to the 20%
GHG threshold requirement, at any time
that they change to a process energy
source other than natural gas and/or
biomass. Finally, because EISA limits
deemed compliant facilities to ethanol
facilities, if there are any changes in the
mix of renewable fuels produced by the
facility, only the ethanol volume
remains grandfathered. We had solicited
comment on whether fuels other than
ethanol could also be deemed
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compliant. Based on comments received
and additional consideration to this
matter, we decided that because the Act
does not authorize EPA to allow fuels
other than ethanol, the deemed
compliant provisions will apply only to
facilities producing that fuel.
Volume limitations contained in air
permits may be defined in terms of peak
hourly production rates or a maximum
annual capacity. If they are defined only
as maximum hourly production rates,
they will need to be converted to an
annual rate. Because assumption of a
24-hour per day production over 365
days per year (8,760 production hours)
may overstate the maximum annual
capacity we are requiring a conversion
rate of 95% of the total hours in a year
(8,322 production hours) based on
typical operating ‘‘uptime’’ of ethanol
facilities.
The facility registration process (see
Section II.C) will be used to define the
baseline volume for individual facilities.
Owners and operators must submit
information substantiating the permitted
capacity of the plant, or the maximum
annual peak capacity if the maximum
capacity is not stipulated in a federal,
state or local air permit, or EPA Title V
operating permit. Copies of applicable
air permits which stipulate the
maximum annual capacity of the plant,
must be provided as part of the
registration process. Subsequent
expansions at a grandfathered facility
that results in an increase in volume
above the baseline volume will subject
the increase in volume to the 20% GHG
emission reduction threshold (but not
the original baseline volume). Thus, any
new expansions will need to be
designed to achieve the 20% GHG
reduction threshold if the facility wants
to generate RINs for that volume. Such
determinations will be made on the
basis of EPA-defined fuel pathway
categories that are deemed to represent
such 20% reduction.
EPA enforcement personnel
commented that claims for an
exemption from the 20% GHG reduction
requirement should be made promptly,
so that they can be verified with recent
supporting information. They were
concerned, in particular, that claims for
exempt status could be made many
years into the future for facilities that
may or may not have concluded
construction within the required time
period, but delayed actual production of
renewable fuel due to market conditions
or other reasons. EPA believes that this
comment has merit, and has included a
requirement in Section 80.1450(f) of the
final rule for registration of facilities
claiming an exemption from the 20%
GHG reduction requirement by May 1,
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2013. This provision does not require
actual fuel production, but simply the
filing of registration materials that assert
a claim for exempt status. It will benefit
both fuel producers, who will likely be
able to more readily collect the required
information if it is done promptly, and
EPA enforcement personnel seeking to
verify the information. However, given
the potentially significant implications
of this requirement for facilities that
may qualify for the exemption but miss
the registration deadline, the rule also
provides that EPA may waive the
requirement if it determines that the
submission is verifiable to the same
extent as a timely-submitted
registration.
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ii. Replacements of Equipment
If production equipment such as
boilers, conveyors, hoppers, storage
tanks and other equipment are replaced,
it would not be considered construction
of a ‘‘new facility’’ under this option of
today’s final rule—the baseline volume
of fuel would continue to be exempt
from the 20% GHG threshold. We
sought comment on an approach that
would require that if coal-fired units are
replaced, that the replacement units
must be fired with natural gas or biofuel
for the product to be eligible for RINs
that do not satisfy the 20% GHG
threshold. Some commenters supported
such an approach. We agreed, however,
with other commenters who point out
that the language in EISA provides for
an indefinite exemption for
grandfathered facilities. While we
interpret the statute to limit the
exemption to the baseline volume of a
grandfathered facility, we do not
interpret the language to allow EPA to
require that replacements of coal fired
units be natural gas or biofuel. Thus
replacements of coal fired equipment
will not affect the facility’s
grandfathered status.
iii. Registration, Recordkeeping and
Reporting
Facility owner/operators will be
required to provide evidence and
certification of commencement of
construction. Such certification will
require copies of all applicable air
permits that apply to the construction
and operation of the facility. Owner/
operators must provide annual records
of process fuels used on a BTU basis,
feedstocks used and product volumes.
For facilities that are located outside the
United States (including outside the
Commonwealth of Puerto Rico, the U.S.
Virgin Islands, Guam, American Samoa,
and the Commonwealth of the Northern
Mariana Islands) owners will be
required to provide certification as well.
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Since the definition of commencement
of construction includes having all
necessary air permits, we will require
that facilities outside the United States
certify that such facilities have obtained
all necessary permits for construction
and operation required by the
appropriate national and local
environmental agencies.
4. New Renewable Biomass Definition
and Land Restrictions
As explained in Section I, EISA lists
seven types of feedstock that qualify as
‘‘renewable biomass.’’ EISA limits not
only the types of feedstocks that can be
used to make renewable fuel, but also
the land that these renewable fuel
feedstocks may come from. Specifically,
EISA’s definition of renewable biomass
incorporates land restrictions for
planted crops and crop residue, planted
trees and tree residue, slash and precommercial thinnings, and biomass
from wildfire areas. EISA prohibits the
generation of RINs for renewable fuel
made from feedstock that does not meet
the definition of renewable biomass,
which includes not meeting the
associated land restrictions. The
following sections describe EPA’s
interpretation of several key terms
related to the definition of renewable
biomass, and the approach in today’s
rule to implementing the renewable
biomass requirements.
a. Definitions of Terms
EISA’s renewable biomass definition
includes a number of terms that require
definition. The following sections
discuss EPA’s definitions for these
terms, which were developed with ease
of implementation and enforcement in
mind. We have made every attempt to
define these terms as consistently with
other federal statutory and regulatory
definitions as well as industry standards
as possible, while keeping them
workable for purposes of program
implementation.
i. Planted Crops and Crop Residue
The first type of renewable biomass
described in EISA is planted crops and
crop residue harvested from agricultural
land cleared or cultivated at any time
prior to December 19, 2007, that is
either actively managed or fallow, and
nonforested. We proposed to interpret
the term ‘‘planted crops’’ to include all
annual or perennial agricultural crops
that may be used as feedstock for
renewable fuel, such as grains, oilseeds,
and sugarcane, as well as energy crops,
such as switchgrass, prairie grass, and
other species, providing that they were
intentionally applied to the ground by
humans either by direct application as
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seed or nursery stock, or through
intentional natural seeding by mature
plants left undisturbed for that purpose.
We received numerous comments on
our proposed definition of ‘‘planted
crops,’’ largely in support of our
proposed definition. However, some
commenters noted that ‘‘microcrops,’’
such as duckweed, a flowering plant
typically grown in ponds or tanks, are
also being investigated for used as
renewable fuel feedstocks. These
microcrops are typically grown in a
similar manner to algae, but cannot be
categorized as algae since they are
relatively more complex organisms.
EPA’s proposed definition would have
unintentionally excluded microcrops
such as duckweed through the
requirement that planted crops be
‘‘applied to the ground.’’ After
considering comments received, EPA
does not believe that there is any basis
under EISA for excluding from the
definition of renewable biomass crops
such as duckweed that are applied to a
tank or pond for growth rather than to
the soil. As with other planted crops,
these ponds or tanks must be located on
existing ‘‘agricultural land,’’ as described
below, to qualify as renewable biomass
under EISA. Therefore, including such
microcrops within the definition of
renewable biomass will not result in the
direct loss of forestland or other
ecologically sensitive land that Congress
sought to protect through the land
restrictions in the definition of
renewable biomass. Doing so will
further the objectives of the statute of
promoting the development of emerging
technologies to produce clean
alternatives to petroleum-based fuels,
and to further U.S. energy
independence.
For these reasons, we are finalizing
our proposed definition of ‘‘planted
crops,’’ with the inclusion of provisions
allowing for the growth of ‘‘microcrops’’
in ponds or tanks that are located on
agricultural land. Our final definition
also includes a reference to ‘‘vegetative
propagation,’’ in which a new plant is
produced from an existing vegetative
structure, as one means by which
planted crops may reproduce, since this
is an important method of reproduction
for microcrops such as duckweed. The
final definition of ‘‘planted crops’’
includes all annual or perennial
agricultural crops from existing
agricultural land that may be used as
feedstock for renewable fuel, such as
grains, oilseeds, and sugarcane, as well
as energy crops, such as switchgrass,
prairie grass, duckweed and other
species (but not including algae species
or planted trees), providing that they
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were intentionally applied by humans
to the ground, a growth medium, or a
pond or tank, either by direct
application as seed or plant, or through
intentional natural seeding or vegetative
propagation by mature plants
introduced or left undisturbed for that
purpose. We note that because EISA
contains specific provisions for planted
trees and tree residue from tree
plantations, our final definition of
planted crops in EISA excludes planted
trees, even if they may be considered
planted crops under some
circumstances.
We proposed that ‘‘crop residue’’ be
limited to the residue, such as corn
stover and sugarcane bagasse, left over
from the harvesting of planted crops.
We sought comment on including
biomass from agricultural land removed
for purposes of invasive species control
or fire management. We received many
comments supporting the inclusion of
biomass removed from agricultural land
for purposes of invasive species control
and/or fire management. We believe that
such biomass is typically removed from
agricultural land for the purpose of
preserving or enhancing its value in
agricultural crop production. It may be
removed at the time crops are harvested,
post harvest, periodically (e.g., for
pastureland) or during extended fallow
periods. We agree with the commenters
that this material is a form of biomass
residue related to crop production,
whether or not derived from a crop
itself, and, therefore, are modifying the
proposed definition of ‘‘crop residue’’ to
include it. We also received comments
encouraging us to expand the definition
of crop residue to include materials left
over after the processing of the crop into
a useable resource, such as husks, seeds,
bagasse and roots. EPA agrees with
these comments and has altered the
final definition to cover such materials.
Based on comments received, our final
definition of ‘‘crop residue’’ is the
biomass left over from the harvesting or
processing of planted crops from
existing agricultural land and any
biomass removed from existing
agricultural land that facilitates crop
management (including biomass
removed from such lands in relation to
invasive species control or fire
management), whether or not the
biomass includes any portion of a crop
or crop plant.
Our proposed regulations restricted
planted crops and crop residue to that
harvested from existing agricultural
land, which, under our proposed
definition, includes three land
categories—cropland, pastureland, and
Conservation Reserve Program (CRP)
land. We proposed to define cropland as
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land used for the production of crops for
harvest, including cultivated cropland
for row crops or close-grown crops and
non-cultivated cropland for
horticultural crops. We proposed to
define pastureland as land managed
primarily for the production of
indigenous or introduced forage plants
for livestock grazing or hay production,
and to prevent succession to other plant
types. We also proposed that CRP land,
which is administered by USDA’s Farm
Service Agency, qualify as ‘‘agricultural
land’’ under RFS2.
EPA received numerous comments on
our proposed definition of existing
agricultural land. Generally,
commenters were in support of our
definition of ‘‘cropland’’ and its
inclusion in the definition of existing
agricultural land. Additionally,
commenters generally did not object to
CRP lands or pastureland being
included in the definition of agricultural
land. Based on our consideration of
comments received on the proposed
rule, EPA is including cropland,
pastureland and CRP land in the
definition of existing agricultural land,
as proposed.
We sought comment in the proposal
on whether rangeland should be
included as agricultural land under
RFS2. Rangeland is land on which the
indigenous or introduced vegetation is
predominantly grasses, grass-like plants,
forbs or shrubs and which—unlike
cropland or pastureland—is
predominantly managed as a natural
ecosystem. EPA received a number of
comments concerning whether
rangeland should be included in the
definition of existing agricultural land
under RFS2. Some commenters urged
EPA to expand the definition of existing
agricultural land to include rangeland,
arguing that rangelands could serve as
important sources of renewable fuel
feedstocks. Many of these commenters
argued that, although it is generally less
intensively managed than cropland,
rangeland is nonetheless actively
managed through control of brush or
weed species, among other practices. In
contrast, other commenters argued
against the inclusion of rangeland,
contending that the potential conversion
of rangeland into cropland for growing
renewable biomass would lead to losses
of carbon, soil, water quality, and
biodiversity.
Under EISA, renewable biomass
includes crops and crop residue from
agricultural land cleared or cultivated at
any time prior to the enactment of EISA
that is either ‘‘actively managed of
fallow’’ and nonforested. In determining
whether rangeland should be
considered existing agricultural land
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under this provision, EPA must decide
if rangeland qualifies as ‘‘actively
managed or fallow.’’ EPA believes that
the term ‘‘actively managed’’ is best
interpreted by reference to the type of
material and practices that this
provision addresses—namely crops and
residue associated with growing crops.
We think it is appropriate to inquire
whether the type of management
involved in a land type is consistent
with that which would occur on land
where crops are harvested. Thus, while
we acknowledge that some types of
rangeland are managed to a certain
degree, the level of ‘‘active management’’
that is typically associated with land
dedicated to growing agricultural crops
is far more intensive than the types of
management associated with rangeland.
For example, rangeland is rarely tilled,
fertilized or irrigated as croplands and,
to a lesser degree, pasturelands, are.
Furthermore, since rangeland
encompasses a wide variety of
ecosystems, including native grasslands
or shrublands, savannas, wetlands,
deserts and tundra, including it in the
definition of agricultural land would
increase the risk that these sensitive
ecosystems would become available
under EISA for conversion into
intensively managed mono-culture
cropland. Finally, the conversion of
relatively undisturbed rangeland to the
production of annual crops could in
some cases lead to large releases of
GHGs stored in the soil, as well as a loss
of biodiversity, both of which would be
contrary to EISA’s stated goals. For
these reasons, EPA is not including
rangeland in the definition of ‘‘existing
agricultural land’’ in today’s final rule.
We proposed to include in our
definition of existing agricultural land
the requirement that the land was
cleared or cultivated prior to December
19, 2007, and that, since December 19,
2007, it has been continuously actively
managed (as agricultural land) or fallow,
and nonforested. We proposed to
interpret the phrase ‘‘that is actively
managed or fallow, and nonforested’’ as
meaning that land must have been
actively managed or fallow, and
nonforested, on December 19, 2007, and
continuously thereafter in order to
qualify for renewable biomass
production. We received extensive
comments on this interpretation. Many
commenters suggested an interpretation
of the requirement that agricultural land
be ‘‘actively managed’’ to mean that the
land had to be ‘‘actively managed’’ at the
time EISA was passed on December 17,
2007, such that the amount of land
available for biofuel feedstock
production was established at that point
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and would not diminish over time.
Other commenters supported our
proposed interpretation, which would
mean that the amount of land available
for biofuel feedstock production could
diminish over time if parcels of land
cease to be actively managed at any
point, thus taking them out of
contention for biofuel feedstock
cultivation. Some commenters argued
that this interpretation is contrary to
Congress’ intent and the basic premise
of the RFS program since, over time, it
could lead to a reduction in the amount
of renewable biomass available for use
as renewable fuel feedstocks, while the
statutorily required volumes of
renewable fuel increase over time.
These commenters further argue that the
active management provision should be
interpreted as a ‘‘snapshot’’ of
agricultural land existing and actively
managed on December 19, 2007. Under
this interpretation, the land that was
cleared or cultivated prior to December
19, 2007 and was actively managed on
that date, would be eligible for
renewable biomass production
indefinitely.
We agree that the goal of the EISA and
RFS program, to increase the presence
of renewable fuels in transportation
fuel, will be better served by
interpreting the ‘‘actively managed or
fallow’’ requirement in the renewable
biomass definition as applying to land
actively managed or fallow on December
19, 2007, rather than interpreting this
requirement as applying beginning on
December 19, 2007 and continuously
thereafter. In addition, by simplifying
the requirement in this fashion, there
will be significantly less burden on
regulated parties in ensuring that their
feedstocks come from qualifying lands.
For these reasons, we are modifying the
definition of existing agricultural land
so that the ‘‘active management’’
requirement is satisfied for those that
were cleared or cultivated and actively
managed or fallow, and non-forested on
December 19, 2007.
Further, we proposed and are
finalizing that ‘‘actively managed’’
means managed for a predetermined
outcome as evidenced by any of the
following: Sales records for planted
crops, crop residue, or livestock;
purchasing records for land treatments
such as fertilizer, weed control, or
reseeding; a written management plan
for agricultural purposes;
documentation of participation in an
agricultural program sponsored by a
Federal, state or local government
agency; or documentation of land
management in accordance with an
agricultural certification program. While
we received comments indicating that
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including a definitive checklist of
required evidential records would be
helpful to have explicitly identified in
the regulations, we are not doing so in
order to maintain flexibility, as
feedstock producers may vary in the
types of evidence they can readily
obtain to show that their agricultural
land was actively managed. We are
adding, however, a clarification that the
records must be traceable to the land in
question. For example, it will not be
sufficient to have a receipt for seed
purchase if there is not additional
evidence indicating that the seed was
applied to the land which is claimed as
existing agricultural land.
The term ‘‘fallow’’ is generally used to
describe cultivated land taken out of
production for a finite period of time.
We proposed and sought comment on
defining fallow to mean agricultural
land that is intentionally left idle to
regenerate for future agricultural
purposes, with no seeding or planting,
harvesting, mowing, or treatment during
the fallow period. We also proposed and
sought comment on requiring
documentation of such intent. We
received many comments that
supported our proposed definition of
fallow. We also received comments
indicating that EPA should set a time
limit for land to qualify as fallow (as
opposed to abandoned for agricultural
purposes). We have decided not to
include a time limit for land to qualify
as ‘‘fallow’’ because we understand that
agricultural land may be left fallow for
many different purposes and for varying
amounts of time. Any particular
timeframe that EPA might choose for
this purpose would be somewhat
arbitrary. Further, EISA does not
indicate a time limit on the period of
time that qualifying land could be
fallow, so EPA does not believe that it
would be appropriate to do so in its
regulations. Therefore, EPA is finalizing
its proposed definition of ‘‘fallow.’’
Finally, in order to define the term
‘‘nonforested’’ as used in the definition
of ‘‘existing agricultural land,’’ we
proposed first to define the term
‘‘forestland’’ as generally undeveloped
land covering a minimum area of one
acre upon which the predominant
vegetative cover is trees, including land
that formerly had such tree cover and
that will be regenerated. We also
proposed that forestland would not
include tree plantations. ‘‘Nonforested’’
land under our proposal would be land
that is not forestland.
We received many comments on our
proposed definition of forestland. Some
commenters urged EPA to broaden the
definition of ‘‘forestland’’ to include tree
plantations, arguing that plantations are
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well-accepted as a subset of forestland.
Others advocated that EPA should make
every effort to distinguish between tree
plantations and forestland so as not to
run the risk of allowing native forests to
be converted into less diverse tree
plantations from which trees could be
harvested for renewable fuel
production. For today’s final rule, EPA
is including tree plantations as a subset
of forestland since it is commonly
understood as such throughout the
forestry industry. Under EISA,
renewable biomass may include ‘‘slash
and pre-commercial thinnings’’ from
non-federal forestlands, and ‘‘planted
trees and tree residue’’ from actively
managed tree plantations on non-federal
land. One effect under EISA of the
modification from the proposed rule to
include tree plantations as a subset of
forestland is to allow pre-commercial
thinnings and slash, in addition to
planted trees and tree residue, harvested
from tree plantations to serve as
qualifying feedstocks for renewable fuel
production. EPA believes it is
appropriate to include pre-commercial
thinnings and slash from actively
managed tree plantations as renewable
biomass, consistent with the EISA
provision allowing harvested trees and
tree residue from tree plantations to
qualify as renewable biomass. Another
effect of including the tree plantations
as a kind of forestland is that, since
crops and crop residue must come from
land that was ‘‘non-forested’’ as of the
date of EISA enactment, a tract of land
managed as a tree plantation on the date
of EISA enactment could not be
converted to cropland for the
production of feedstock for RINgenerating renewable fuel. EPA believes
that this result in keeping with
Congressional desire to avoid the
conversion of new lands to crop
production for renewable fuel
production.
Additionally, EPA received comments
indicating that, in order to be consistent
with existing statutory and/or regulatory
definitions of ‘‘forestland,’’ EPA should
exclude tree covered areas in intensive
agricultural crop production settings,
such as fruit orchards, or tree-covered
areas in urban settings such as city
parks from the definition of forestland.
EPA agrees that these types of land
cannot be characterized as ‘‘forestland,’’
and is thus excluding them from the
definition. EPA’s final definition of
forestland is ‘‘generally undeveloped
land covering a minimum of 1 acre
upon which the primary vegetative
species is trees, including land that
formerly had such tree cover and that
will be regenerated and tree plantations.
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Tree covered areas in intensive
agricultural crop production settings,
such as fruit orchards, or tree-covered
areas in urban settings such as city
parks, are not considered forestland.’’
ii. Planted Trees and Tree Residue
The definition of renewable biomass
in EISA includes planted trees and tree
residue from actively managed tree
plantations on non-federal land cleared
at any time prior to December 19, 2007,
including land belonging to an Indian
tribe or an Indian individual, that is
held in trust by the United States or
subject to a restriction against alienation
imposed by the United States.
We proposed to define the term
‘‘planted trees’’ to include not only trees
that were established by human
intervention such as planting saplings
and artificial seeding, but also trees
established from natural seeding by
mature trees left undisturbed for such a
purpose. Some commenters disagreed
with our inclusion of naturally seeded
trees in our definition of ‘‘planted trees.’’
They argue that an area which is
managed for natural regeneration of
trees is more akin to a natural forest
than a tree plantation, and that the
difference between the two types of land
should be clear in order to distinguish
between the two and to avoid the
effective conversion of natural forests to
tree plantations under EISA. EPA agrees
that the inclusion of natural reseeding
in the definition of ‘‘planted trees’’
would make distinguishing between tree
plantations and forests difficult or
impossible, thus negating the separate
restrictions that Congress placed on the
two types of land. On the other hand,
EPA believes that trees that are naturally
seeded and grown together with handor machine-planted trees in a tree
plantation should not categorically be
excluded from qualifying as renewable
biomass. Such natural reseeding may
occur after planting the majority of trees
in a tree plantation, and may be
consistent with the management plan
for a tree plantation. EPA has decided,
therefore, to modify its proposed
definition of ‘‘planted tree’’ to be trees
harvested from a tree plantation. The
term ‘‘tree plantation’’ is defined as a
stand of no less than 1 acre composed
primarily of trees established by handor machine-planting of a seed or
sapling, or by coppice growth from the
stump or root of a tree that was handor machine-planted.’’ The net effect is
that as long as a tree plantation consists
‘‘primarily’’ of trees that were hand- or
machine planted (or derived therefrom,
as described below), then all trees from
the tree plantation, including those
established from natural seeding by
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mature trees left undisturbed for such a
purpose, will qualify as renewable
biomass.
We also received a number of
comments suggesting that EPA broaden
the definition of planted trees to include
other methods of tree regeneration, such
as coppice (the production of new stems
from stumps or roots), that are
frequently used in the forestry industry
to regenerate tree plantations. EPA
believes that ‘‘planted’’ implies direct
human intervention, and that allowing
stump-growth from the stump or roots
of a tree that was hand- or machineplanted is consistent with this concept.
Therefore, today’s final rule broadens
the concept of ‘‘planted trees’’ from a
tree plantation to include ‘‘a tree
established by hand- or machineplanting of a seed or sapling, or by
coppice growth from the stump or root
of a tree that was hand- or machineplanted.’’ This new language will appear
in the definition of ‘‘tree plantation.’’
In the NPRM, we proposed to define
a ‘‘tree plantation’’ as a stand of no fewer
than 100 planted trees of similar age and
comprising one or two tree species, or
an area managed for growth of such
trees covering a minimum of one acre.
We received numerous comments on
our definition of tree plantation. Several
commenters urged EPA to define tree
plantation more broadly by using the
definition from the Dictionary of
Forestry—‘‘a stand composed primarily
of trees established by planting or
artificial seeding,’’ However, this
definition does not provide sufficiently
clear guidelines for determining
whether a given parcel of land would be
considered a tree plantation rather than
a natural forest. Since trees are
considered renewable biomass under
RFS2 only if they are harvested from
tree plantations, we believe that our
proposed definition was clearer and
more easily applied in the field.
Accordingly, EPA has not adopted the
definition of this term from the
Dictionary of Forestry. Other
commenters argued that there is no
technical justification for limiting the
number of species or number of trees in
a plantation, and that many tree
plantations include a variety of species.
EPA believes that there is merit in these
comments. Accordingly, EPA is
finalizing a broadened definition of ‘‘tree
plantation,’’ by removing the limitations
on the number and species of trees. EPA
is defining tree plantation as ‘‘a stand of
no less than 1 acre composed primarily
of trees established by hand- or
machine-planting of a seed or sapling,
or by coppice growth from the stump or
root of a tree that was hand- or machineplanted.’’
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We proposed to apply similar
management restrictions to tree
plantations as would apply to existing
agricultural land and also to interpret
the EISA language as requiring that to
qualify as renewable biomass for
renewable fuel production under RFS2,
a tree plantation must have been cleared
at any time prior to December 19, 2007,
and continuously actively managed
since December 19, 2007. Consistent
with our final position regarding
actively managed existing agricultural
land, we are defining the term ‘‘actively
managed’’ in the context of tree
plantations as managed for a
predetermined outcome as evidenced by
any of the following that must be
traceable to the land in question: Sales
records for planted trees or slash;
purchasing records for seeds, seedlings,
or other nursery stock together with
other written documentation connecting
the land in question to these purchases;
a written management plan for
silvicultural purposes; documentation
of participation in a silvicultural
program sponsored by a Federal, state or
local government agency;
documentation of land management in
accordance with an agricultural or
silvicultural product certification
program; an agreement for land
management consultation with a
professional forester that identifies the
land in question; or evidence of the
existence and ongoing maintenance of a
road system or other physical
infrastructure designed and maintained
for logging use, together with one of the
above-mentioned documents.
Silvicultural programs such as those of
the Forest Stewardship Council, the
Sustainable Forestry Initiative, the
American Tree Farm System, or USDA
are examples of the types of programs
that could indicate actively managed
tree plantations. As with the definition
of ‘‘actively managed’’ as it applies to
crops from existing agricultural lands,
we received extensive comments on this
interpretation. As with our final
position for crops from existing
agricultural lands, we are interpreting
the ‘‘active management’’ requirement
for tree plantations to apply on the date
of EISA’s enactment, December 19,
2007. Those tree plantations that were
cleared or cultivated and actively
managed on December 19, 2007 are
eligible for the production of planted
trees, tree residue, slash and precommercial thinnings for renewable fuel
production.
In lieu of the term ‘‘tree residue,’’ we
proposed to use the term ‘‘slash’’ in our
regulations as a more descriptive, but
otherwise synonymous, term. According
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to the Dictionary of Forestry (1998, p.
168), a source of commonly understood
industry definitions, slash is ‘‘the
residue, e.g., treetops and branches, left
on the ground after logging or
accumulating as a result of a storm, fire,
girdling, or delimbing.’’ We also
proposed to clarify that slash can
include tree bark and can be the result
of any natural disaster, including
flooding. We received comments in
support of this additional inclusion and
are expanding the definition of ‘‘slash’’
to include tree bark and residue
resulting from natural disaster,
including flooding. We received general
support for our proposal to substitute
our definition of ‘‘slash’’ for ‘‘tree
residue,’’ however, several commenters
argued that our definition of slash is too
narrow to be substituted for ‘‘tree
residue,’’ which should include woody
residues from saw mills and paper mills
that process planted trees from tree
plantations. EPA agrees that the term
‘‘residue’’ should include this material.
Therefore, EPA is expanding the
definition of ‘‘tree residue’’ to include
residues from processing planted trees
at lumber and paper mills, but is
limiting it to the biogenically derived
portion of the residues that can be
traced back to feedstocks meeting the
definition of renewable biomass (i.e.
planted trees and tree residue from
actively managed tree plantations on
non-federal land cleared at any time
prior to December 19, 2007). RINs may
only be generated for the fraction of fuel
produced that represents the biogenic
portion of the tree residue, using the
procedures described in ASTM test
method D–6866. Thus, if the tree
residues are mixed with chemicals or
other materials during processing at the
lumber or paper mills, producers may
only generate RINs for the portion of the
mixture that is actually derived from
planted trees. EPA’s final definition of
‘‘tree residue’’ is ‘‘slash and any woody
residue generated during the processing
of planted trees from actively managed
tree plantations for use in lumber,
paper, furniture or other applications,
providing that such woody residue is
not mixed with similar residue from
trees that do not originate in actively
managed tree plantations.
iii. Slash and Pre-Commercial
Thinnings
The EISA definition of renewable
biomass includes slash and precommercial thinnings from non-federal
forestlands, including forestlands
belonging to an Indian tribe or an Indian
individual, that are held in trust by the
United States or subject to a restriction
against alienation imposed by the
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United States. However, EISA excludes
slash and pre-commercial thinnings
from forests or forestlands that are
ecological communities with a global or
State ranking of critically imperiled,
imperiled, or rare pursuant to a State
Natural Heritage Program, old growth
forest, or late successional forest.
As described in Sec. II.B.4.a.i of this
preamble, our definition of ‘‘forestland’’
is generally undeveloped land covering
a minimum of 1 acre upon which the
primary vegetative species is trees,
including land that formerly had such
tree cover and that will be regenerated
and tree plantations. Tree-covered areas
in intensive agricultural crop
production settings, such as fruit
orchards or tree-covered areas in urban
setting such as city parks, are not
considered forestland. Also as noted in
Sec. III.B.4.a.ii of this preamble, we are
adopting the definition of slash listed in
the Dictionary of Forestry, with the
addition of tree bark and residue
resulting from natural disaster,
including flooding.
As for ‘‘pre-commercial thinnings,’’
the Dictionary of Forestry defines the
act of such thinning as ‘‘the removal of
trees not for immediate financial return
but to reduce stocking to concentrate
growth on the more desirable trees.’’
Because what may now be considered
pre-commercial may eventually be
saleable as renewable fuel feedstock, we
proposed not to include any reference to
‘‘financial return’’ in our definition, but
rather to define pre-commercial
thinnings as those trees removed from a
stand of trees in order to reduce
stocking to concentrate growth on more
desirable trees. Additionally, we
proposed to include diseased trees in
the definition of pre-commercial
thinnings due to the fact that they can
threaten the integrity of an otherwise
healthy stand of trees, and their removal
can be viewed as reducing stocking to
promote the growth of more desirable
trees. We sought comment on whether
our definition of pre-commercial
thinnings should include a maximum
diameter and, if so, what the
appropriate maximum diameter should
be. We received comments on our
proposed definition of pre-commercial
thinnings that were generally supportive
of our proposed definition. Many
commenters argued that EPA should not
use a maximum tree diameter as a basis
for defining pre-commercial thinning as
tree diameter varies greatly by forest
type and location, making any diameter
limitation EPA might set arbitrary. EPA
agrees with this assessment.
Commenters also argued that precommercial thinnings may include
other non-tree vegetative material that is
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removed to promote and improve tree
growth. EPA is attempting to utilize
standard industry definitions to the
extent practicable, and believes that the
proposed definition of pre-commercial
thinnings, based largely on the
Dictionary of Forestry definition with
the addition of other vegetative material
removed to promote tree growth, is
appropriate. Therefore, we are finalizing
the proposed definition of ‘‘precommercial thinnings,’’ with the
addition of the phrase ‘‘or other
vegetative material that is removed to
promote tree growth.’’
We proposed that the State Natural
Heritage Programs referred to in EISA
are those comprising a network
associated with NatureServe, a nonprofit conservation and research
organization. Individual Natural
Heritage Programs collect, analyze, and
distribute scientific information about
the biological diversity found within
their jurisdictions. As part of their
activities, these programs survey and
apply NatureServe’s rankings, such as
critically imperiled (S1), imperiled (S2),
and rare (S3) to species and ecological
communities within their respective
borders. NatureServe meanwhile uses
data gathered by these Natural Heritage
Programs to apply its global rankings,
such as critically imperiled (G1),
imperiled (G2), or vulnerable (the
equivalent of the term ‘‘rare,’’ or G3), to
species and ecological communities
found in multiple States or territories.
We proposed and sought comment on
prohibiting slash and pre-commercial
thinnings from all forest ecological
communities with global or State
rankings of critically imperiled,
imperiled, or vulnerable (‘‘rare’’ in the
case of State rankings) from being used
for renewable fuel for which RINs may
be generated under RFS2.
We proposed to use data compiled by
NatureServe and published in special
reports to identify ‘‘ecologically
sensitive forestland.’’ The reports listed
all forest ecological communities in the
U.S. with a global ranking of G1, G2, or
G3, or with a State ranking of S1, S2, or
S3, and included descriptions of the key
geographic and biologic attributes of the
referenced ecological community. We
proposed that the document be
incorporated by reference into the
definition of renewable biomass in the
final RFS2 regulations (and updated as
appropriate through notice and
comment rulemaking). The document
would identify specific ecological
communities from which slash and precommercial thinnings could not be used
as feedstock for the production of
renewable fuel that would qualify for
RINs under RFS2. Draft versions of the
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document containing the global and
State rankings were placed in the docket
for the proposed rule.
EPA received several comments on
our proposed interpretation of EISA’s
State Natural Heritage Program
requirement and the reports listing G1–
G3 and S1–S3 ecological communities.
Several commenters argued that while
EISA authorizes EPA to exclude slash
and pre-commercial thinnings from S1–
3 and G1 and G2 communities, it does
not authorize the exclusion of biomass
from G3 communities, which are
designated as ‘‘vulnerable,’’ not
‘‘critically imperiled, imperiled or rare,’’
as EISA requires. The commenters
further argue that there is little or no
environmental benefit to adding G3
communities to the list of lands
unavailable for renewable fuel feedstock
production, and that their inclusion
limits the availability of forest-derived
biomass. EPA agrees with these
comments, and has drafted today’s final
rule so as not to specifically exclude
from the definition of renewable
biomass slash and pre-commercial
thinnings from G3-ranked ‘‘vulnerable’’
ecological communities to qualify as
renewable biomass for purposes of
RFS2. We are interpreting EISA’s
language to exclude from the definition
of renewable biomass any biomass taken
from ecological communities in the U.S.
with Natural Heritage Programs global
ranking of G1 or G2, or with a State
ranking of S1, S2, or S3. We are
including in today’s rulemaking docket
(EPA–HQ–OAR–2005–0161) the list of
ecological communities fitting this
description.
To complete the definition of
‘‘ecologically sensitive forestland,’’ we
proposed to include old growth and late
successional forestland which is
characterized by trees at least 200 years
old. We received comments on this
proposed definition recommending that
EPA not use a single tree age in the
define old growth and late-successional
forests, as this criterion does not apply
to all types of forests. While EPA
understands that there are a number of
criteria for determining whether a forest
is old growth and that the criteria differ
depending on the type of forest, for
purposes of the RFS2 rule, EPA seeks to
use definitive criteria that can be
applied by non-professionals. EPA is
finalizing the definition of ‘‘old growth’’
as proposed.
iv. Biomass Obtained From Certain
Areas at Risk From Wildfire
The EISA definition of renewable
biomass includes biomass obtained from
the immediate vicinity of buildings and
other areas regularly occupied by
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people, or of public infrastructure, at
risk from wildfire. We proposed to
clarify in the regulations that ‘‘biomass’’
is organic matter that is available on a
renewable or recurring basis, and that it
must be obtained from within 200 feet
of buildings, campgrounds, and other
areas regularly occupied by people, or of
public infrastructure, such as utility
corridors, bridges, and roadways, in
areas at risk of wildfire.
Furthermore, we proposed to define
‘‘areas at risk of wildfire’’ as areas
located within—or within one mile of—
forestland, tree plantations, or any other
generally undeveloped tract of land that
is at least one acre in size with
substantial vegetative cover. We sought
comment on two possible
implementation alternatives for
identifying areas at risk of wildfire. The
first proposed alternative would
incorporate into our definition of ‘‘areas
at risk of wildfire’’ any communities
identified as ‘‘communities at risk’’ and
covered by a community wildfire
protection plan (CWPP). Communities
at risk are defined through a process
within the document, ‘‘Field Guidance—
Identifying and Prioritizing
Communities at Risk’’ (National
Association of State Foresters, June
2003). CWPPs are developed in
accordance with ‘‘Preparing a
Community Wildfire Protection Plan—A
Handbook for Wildland-Urban Interface
Communities’’ (Society of American
Foresters, March 2004) and certified by
a State Forester or equivalent. We
sought comment on incorporating by
reference into the final RFS2 regulations
a list of ‘‘communities at risk’’ with an
approved CWPP. We also sought
comment on a second implementation
approach, which would incorporate into
our definition of ‘‘areas at risk of
wildfire’’ any areas identified as
wildland urban interface (WUI) land, or
land in which houses meet wildland
vegetation or are mixed with vegetation.
We noted that SILVIS Lab, in the
Department of Forest Ecology and
Management and the University of
Wisconsin, Madison, has, with funding
provided by the U.S. Forest Service,
mapped WUI lands based on the 2000
Census and the U.S. Geological Survey
National Land Cover Data (NLCD), and
we sought comment on how best to use
this map.
We received comments on the
proposal and on the two proposed
alternative options for identifying areas
at risk of wildfire. A number of
commenters argued that EPA should
define ‘‘areas at risk of wildfire’’ using an
existing definition of WUI from the
Healthy Forests Restoration Act (Pub. L.
108–148). Many commenters
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recommended that EPA include both
lands covered by a CWPP as well as
lands meeting the Healthy Forests
Restoration Act definition of WUI in
order to maximize the amount of land
available for biomass feedstock and to
encourage the removal of hazardous fuel
for wildfires. EPA understands that very
few communities that might be eligible
for a CWPP actually have one in place,
due to the numerous administrative
steps that must be taken in order to have
a CWPP approved, so the option of
defining areas at risk of wildfire
exclusively by reference to a list of
communities with an approved CWPP
would be underinclusive of all lands
that a professional forester would
consider to be at risk of wildfire.
Furthermore, EPA believes that the
statutory definition of WUI from the
Healthy Forests Restoration Act (Pub. L.
108–148) is too vague using directly in
implementing the RFS2 program. If EPA
used this WUI definition, individual
plots of land would have to be assessed
by a professional forester on a case-bycase basis in order to determine if they
meet the WUI definition, creating an
expensive burden for landowners
seeking to sell biomass from their lands
as renewable fuel feedstocks.
In light of the comments received and
the need for a simple way for
landowners and renewable fuel
producers to track the status of
particular plots of land, for the final rule
we are identifying ‘‘areas at risk of
wildfire’’ as those areas identified as
wildland urban interface. Those areas
are depicted and mapped at https://
silvis.forest.wisc.edu/Library/
WUILibrary.asp. The electronic WUI
map is a readily accessible reference
tool that was prepared by experts in the
field of identifying areas at risk of
wildfire, and is thus an ideal reference
for purposes of implementing RFS2.
EPA has included in the rulemaking
docket instructions on using the WUI
map to find the status of a plot of land.
v. Algae
EISA specifies that ‘‘algae’’ qualify as
renewable biomass. EPA did not
propose a definition for this term. A
number of commenters have requested
clarification, specifically asking whether
cyanobacteria (also known as blue-green
algae), diatoms, and angiosperms are
within the definition. Technically, the
term ‘‘algae’’ has recently been defined
as ‘‘thallophytes (plants lacking roots,
stems and leaves) that have chlorophyll
a as their primary photosynthetic
pigment and lack a sterile covering of
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cells around the reproductive cells.’’ 5
Algae are relatively simple organisms
that are virtually ubiquitous, occurring
in freshwater, brackish water, saltwater,
and terrestrial habitats. When present in
water, they may be suspended, or grow
attached to various substrates. They
range in size from unicellular to among
the longest living organisms (e.g. sea
kelp). There is some disagreement
among scientists as to whether
cyanobacteria should be considered
bacteria or algae. Some consider them to
be bacteria because of their cellular
organization and biochemistry.
However, others find it more significant
that they contain chlorophyll a, which
differs from the chlorophyll of bacteria
which are photosynthetic, and also
because free oxygen is liberated in bluegreen algal photosynthesis but not in
that of the bacteria.6 EPA believes that
it furthers the purposes of EISA to
interpret the term ‘‘algae’’ in EISA
broadly to include cyanobacteria, since
doing so will make available another
possible feedstock for renewable fuel
production that will further the energy
independence and greenhouse gas
reduction objectives of the Act. Further,
EPA expects that cyanobacteria used in
biofuel production would be cultivated,
as opposed to harvested, and therefore
that there would be no significant
impact from use of cyanobacteria for
biofuel production on naturally
occurring algal populations. Diatoms are
generally considered by the scientific
community to be algae,7 and, consistent
with this general scientific consensus,
EPA interprets the EISA definition of
algae to include them. Microcrop
angiosperms, however, do not meet the
definition of algae, even if they live in
an aquatic habitat, since they are
relatively more complex organisms than
the algae. A discussion of microcrop
angiosperms is included above in the
discussion of ‘‘planted crops and crop
residue.’’
b. Implementation of Renewable
Biomass Requirements
Our proposed approach to the
treatment of renewable biomass under
RFS2 was intended to define the
conditions under which RINs can be
generated as well as the conditions
under which renewable fuel can be
produced or imported without RINs.
Our proposed and final approaches to
both of these areas are described in
more detail below.
5 Phycology, Robert Edward Lee, Cambridge
University Press, 2008, page 3.
6 See, generally, Introduction to the Algae.
Structure and Reproduction, by Harold C. Bold and
Michael J. Wynne, Prentice-Hall Inc. 1978, page 31.
7 See id.
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i. Ensuring That RINs Are Generated
Only for Fuels Made From Renewable
Biomass
The effect of adding EISA’s definition
of renewable biomass to the RFS
program is to ensure that renewable
fuels are only eligible for the program if
made from certain feedstocks, and if
some of those feedstocks come from
certain types of land. In the context of
our regulatory program, this means that
RINs could only be generated if it can
be established that the feedstock from
which the fuel was made meets EISA’s
definitions of renewable biomass
include land restrictions. Otherwise, no
RINs could be generated to represent the
renewable fuel produced or imported.
The EISA language does not distinguish
between domestic renewable fuel
feedstocks and renewable fuel
feedstocks that come from abroad, so
our final rule requires similar feedstock
affirmation and recordkeeping
requirements for both RIN-generating
domestic renewable fuel producers and
RIN-generating foreign producers or
importers.
We acknowledge that incidental
contaminants can be introduced into
feedstocks during cultivation, transport
or processing. It is not EPA’s intent that
the presence of such contaminants
should disqualify the feedstock as
renewable biomass. The final
regulations therefore stipulate that the
term ‘‘renewable biomass’’ includes
incidental contaminants related to
customary feedstock production and
transport that are present in feedstock
that otherwise meets the definition if
such incidental contaminants are
impractical to remove and occur in de
minimus levels. By ‘‘related to
customary feedstock production and
transport,’’ we refer to contaminants
related to crop production, such as soil
or residues related to fertilizer, pesticide
and herbicide applications to crops, as
well as contaminants related to
feedstock transport, such as nylon rope
used to bind feedstock materials. It
would also include agricultural
contaminants introduced to the
feedstock during sorting or shipping,
such as miscellaneous sorghum grains
present in a load of corn kernels.
However, contamination is not related
to customary feedstock production and
transport, so such feedstocks would not
qualify, and in particular, any
hazardous waste or toxic chemical
contaminant in feedstock would
disqualify the feedstock as renewable
biomass.
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ii. Whether RINs Must Be Generated for
All Qualifying Renewable Fuel
Under RFS1, virtually all renewable
fuel is required to be assigned a RIN by
the producer or importer. This
requirement was developed and
finalized in the RFS1 rulemaking in
order to address stakeholder concerns,
particularly from obligated parties, that
the number of available RINs should
reflect the total volume of renewable
fuel used in the transportation sector in
the U.S. and facilitate program
compliance. EISA has dramatically
increased the mandated volumes of
renewable fuel that obligated parties
must ensure are produced and used in
the U.S. At the same time, EISA makes
it more difficult for renewable fuel
producers to demonstrate that they have
fuel that qualifies for RIN generation by
restricting qualifying renewable fuel to
that made from ‘‘renewable biomass.’’
The inclusion of such restrictions under
RFS2 may mean that, in some
situations, a renewable fuel producer
would prefer to forgo the benefits of RIN
generation to avoid the cost of ensuring
that its feedstocks qualify for RIN
generation. If a sufficient number of
renewable fuel producers acted in this
way, it could lead to a situation in
which not all qualifying fuel is assigned
RINs, thus resulting in a shortage of
RINs in the market that could force
obligated parties into non-compliance
even though biofuels are being
produced and used. Another possible
outcome would be that the demand for
and price of RINs would increase
significantly, making compliance by
obligated parties more costly and
difficult than necessary and raising
prices for consumers.
With these concerns in mind, EPA
proposed to preserve in RFS2 the RFS1
requirement that RINs be generated for
all qualifying renewable fuel. We also
proposed that renewable fuel producers
maintain records showing that they
utilized feedstocks made from
renewable biomass if they are generating
RINs, or, if they are not generating RINs,
that they did not use feedstocks that
qualify as renewable biomass. However,
we considered this matter further, and
we realize that the implication of these
proposed requirements is that
renewable fuel producers would be
caught in the untenable position of
being forced to participate in the RFS2
program (register, keep records, etc.)
even if they are unable to generate RINS
because their feedstocks do not meet the
definition of renewable biomass. We
received many comments on the
proposed requirement to generate RINs
for all qualifying renewable fuel. Most
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commenters argued that the requirement
to keep records for non-qualifying
renewable fuels was excessively
onerous and served little purpose for the
program.
After considering the comments
received, EPA has determined that this
requirement would be overly
burdensome and unreasonable for
producers. The burden stems from the
requirement that producers prove that
their feedstocks do not qualify if they
are not generating RINs. If the data did
not exist or could not be obtained,
producers could not produce the fuel,
even if no RINs would be generated.
Thus, for the final rule, EPA is requiring
only that producers that do generate
RINs have the requisite records (as
discussed in section II.B.4.c.i. of this
preamble) documenting that their fuel is
produced from feedstocks meeting the
definition of renewable biomass. NonRIN generating producers need not
maintain any paperwork related to their
feedstocks and their origins.
Although EPA is not requiring that
RINs be generated for all qualifying
renewable fuel, EPA is seeking to avoid
situations where biofuels are produced,
but RINs are not made available to the
market for compliance. EPA received
comments requesting that we consider a
provision in which any volume of
renewable fuel for which RINs were not
generated would be an obligated volume
for that producer, to serve as a
disincentive for those producers who
might not generate RINs in order to
avoid the RFS program requirements.
While EPA is not finalizing this
provision in today’s rule, we may
consider a future rulemaking to
promulgate a provision such as this if
we find that EISA volumes are not being
met due to producers declining to
generate RINs for their qualifying
renewable fuel. We also note that it is
ultimately the availability of qualifying
renewable fuel, as determined in part by
the number of RINs in the marketplace,
that will determine the extent to which
EPA should issue a waiver of RFS
requirements on the basis of inadequate
domestic supply. It is in the interest of
renewable fuel producers to avoid a
situation where a waiver of the EISA
volume requirements appears necessary.
EPA encourages renewable fuel
producers to generate RINs for all fuel
that is made from feedstocks meeting
the definition of renewable biomass and
that meets the GHG emissions reduction
thresholds set out in EISA. Please see
section II.D.6 for additional discussion
of this issue.
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c. Implementation Approaches for
Domestic Renewable Fuel
Consistent with RFS1, renewable fuel
producers will be responsible for
generating Renewable Identification
Numbers (RINs) under RFS2. In order to
determine whether or not their fuel is
eligible for generating RINs, renewable
fuel producers will generally need to
have at least basic information about the
origin of their feedstocks, to ensure they
meet the definition of renewable
biomass. In the proposal, EPA described
and sought comment on several
approaches for implementing the land
restrictions on renewable biomass
contained in EISA.
The proposed approach for ensuring
that producers generate RINs properly
was that EPA would require that
renewable fuel producers obtain
documentation about their feedstocks
from their feedstock supplier(s) and take
the measures necessary to ensure that
they know the source of their feedstocks
and can demonstrate to EPA that they
fall within the EISA definition of
renewable biomass. EPA would require
renewable fuel producers who generate
RINs to affirm on their renewable fuel
production reports that the feedstock
used for each renewable fuel batch
meets the definition of renewable
biomass. EPA would also require
renewable fuel producers to maintain
sufficient records to support these
claims. Specifically, we proposed that
renewable fuel producers who use
planted crops or crop residue from
existing agricultural land, or who use
planted trees or slash from actively
managed tree plantations, would be
required to have copies of their
feedstock producers’ written records
that serve as evidence of land being
actively managed (or fallow, in the case
of agricultural land) since December
2007, such as sales records for planted
crops or trees, livestock, crop residue, or
slash; a written management plan for
agricultural or silvicultural purposes; or,
documentation of participation in an
agricultural or silvicultural program
sponsored by a Federal, state or local
government agency. In the case of all
other biomass, we proposed to require
renewable fuel producers to have, at a
minimum, written records from their
feedstock supplier that serve as
evidence that the feedstock qualifies as
renewable biomass.
We sought comment on this approach
generally as well as other methods of
verifying renewable fuel producers’
claims that feedstocks qualify as
renewable biomass. EPA received
extensive comments on the proposed
approach. Many affected parties argued
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that the proposed approach would pose
an unnecessary recordkeeping burden
on both feedstock and renewable fuel
producers when, in practice, new lands
will not be cleared, at least in the near
future, for purposes of growing
renewable fuel feedstocks. Commenters
argued that individual recordkeeping
was onerous, when compliance with the
renewable biomass requirements could
be determined through the use of
existing data and third-party programs.
Commenters contend that the
recordkeeping and feedstock tracking
requirements are particularly arduous
for corn, soybeans and other agricultural
crops that are used as renewable fuel
feedstocks due to both the maturity and
the highly fungible nature of those
feedstock systems. In contrast, other
commenters argued that recordkeeping
and reporting requirements are
necessary to ensure that feedstocks are
properly verified as renewable biomass
to prevent undesirable impacts on
natural ecosystems and wildlife habitat
globally.
We also sought comment on the
possible use under EISA of nongovernmental, third-party verification
programs used for certifying and
tracking agricultural and forest products
from point of origin to point of use both
within the U.S. and outside the U.S. We
examined third-party organizations that
certify specific types of biomass from
croplands and organizations that certify
forest lands, including the Roundtable
on Sustainable Palm Oil, the Basel
Criteria for Responsible Soy Production,
the Roundtable on Sustainable Biofuels
(RSB) and the Better Sugarcane
Initiative (BSI). Additionally, we
examined the work of the international
Soy Working Group, the Brazilian
Association of Vegetable Oil Industries
(ABIOVE) and Brazil’s National
Association of Grain Exporters (ANEC),
Greenpeace, Verified Sustainable
Ethanol initiative, the Sustainable
Agriculture Network (SAN), the Forest
Stewardship Council (FSC), American
Tree Farm program and Sustainable
Forestry Initiative (SFI). We proposed
not to solely rely on any existing thirdparty verification program to implement
the land restrictions on renewable
biomass under RFS2 for several reasons.
These programs are limited in the scope
of products they certify, the acreage of
land certified through third parties in
the U.S. covers only a small portion of
the total available land estimated to
qualify for renewable biomass
production under the EISA definition,
and none of the existing third-party
systems had definitions or criteria that
perfectly match the land use definitions
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and restrictions contained in the EISA
definition of renewable biomass.
We received several comments
indicating that producers would like to
use evidence of their participation in
these types of programs to prove that
their feedstocks meet the definition of
renewable biomass. Others argued that
while, at this time, the requirements of
third-party programs may not
encompass all of the restrictions and
requirements of EISA’s renewable
biomass definition, the programs may
alter their criteria in the future to
parallel EISA’s requirements. EPA
agrees that this is a possibility and, in
the future, will consider the use of these
programs in order to simplify
compliance with the renewable biomass
requirements. We encourage fuel
producers to work to identify changes to
such programs that could allow them to
be used as a viable compliance option.
In the proposal, EPA also
acknowledged that land restrictions
contained within the definition of
renewable biomass may not, in practice,
result in a significant change in
agricultural practices, since biomass
from nonqualifying lands may still be
used for non-fuel (e.g., food) purposes.
Therefore, we sought comment on a
stakeholder suggestion to establish a
baseline level of production of biomass
feedstocks such that reporting and
recordkeeping requirements would be
triggered only when the baseline
production levels of feedstocks used for
biofuels were exceeded. Additionally,
EPA offered as an alternative the use of
existing satellite and aerial imagery and
mapping software and tools to
implement the renewable biomass
provisions of EISA. We received
numerous comments in support of these
options. Commenters argued that USDA
collects and maintains ample data on
land use that EPA could use to
demonstrate that, due to increasing crop
yields and other considerations,
agricultural land acreage will not
expand, at least in the near term, to
accommodate the increased renewable
fuel obligations of RFS2.
EPA also sought comment on an
additional alternative in which EPA
would require renewable fuel producers
to set up and administer a companywide quality assurance program that
would create an additional level of rigor
in the implementation scheme for the
EISA land restrictions on renewable
biomass. EPA is not finalizing this
company-wide quality assurance
program approach, but rather, is
encouraging the option for an industrywide quality assurance program, as
described in the following section, to be
administered.
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i. Recordkeeping and Reporting for
Feedstocks
After considering the comments we
received on the proposed approach,
EPA is finalizing reporting and
recordkeeping requirements comparable
to those in the approach we discussed
in the proposed rule for all categories of
renewable biomass, with the exception
of planted crops and crop residue from
agricultural land in the United States,
which will be covered by the aggregate
compliance approach discussed below
in Section II.B.4.c.iii. EPA believes that
these requirements on the fuel producer
utilizing feedstocks other than crops
and crop residue are necessary to ensure
that the definition of renewable biomass
is being met, and to allow feedstocks to
be traced from their original producer to
the renewable fuel production facility.
Furthermore, we believe that, in most
cases, feedstock producers will already
have or will be able to easily generate
the specified documentation for
renewable fuel producers necessary to
provide them with adequate assurance
that the feedstock in question meets the
definition of renewable biomass.
Under today’s rule, all renewable fuel
producers must maintain written
records from their feedstock suppliers
for each feedstock purchase that identify
the type and amount of feedstocks and
where the feedstock was produced and
that are sufficient to verify that the
feedstock qualifies as renewable
biomass. Specifically, renewable fuel
producers must maintain maps and/or
electronic data identifying the
boundaries of the land where the
feedstock was produced, product
transfer documents (PTDs) or bills of
lading tracing the feedstock from that
land to the renewable fuel production
facility, and other written records that
serve as evidence that the feedstock
qualifies as renewable biomass. We
believe the maps or electronic data can
be easily generated using existing Webbased information.
Producers using planted trees and tree
residue from tree plantations must
maintain additional documentation that
serves as evidence that the tree
plantation was cleared prior to
December 19, 2007, and actively
managed as a tree plantation on
December 19, 2007. This documentation
must consist of the following types of
records which must be traceable to the
land in question: Sales records for
planted trees or slash; purchasing
records for fertilizer, weed control, or
reseeding, including seeds, seedlings, or
other nursery stock together with other
written documentation connecting the
land in question to these purchases; a
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written management plan for
silvicultural purposes; documentation
of participation in a silvicultural
program sponsored by a Federal, state or
local government agency; or
documentation of land management in
accordance with a silvicultural product
certification program; an agreement for
land management consultation with a
professional forester that identifies the
land in question; or evidence of the
existence and ongoing maintenance of a
road system or other physical
infrastructure designed and maintained
for logging use. There are many existing
programs, such as those administered by
USDA and independent third-party
certifiers, that could be used as
documentation that verifies that
feedstock from certain land qualifies as
renewable biomass. For example, many
tree plantation owners already
participate in a third-party certification
program such as FSC or SFI. Written
proof of participation by a tract of land
in a program of this type on December
19, 2007 would be sufficient to show
that a tree plantation was cleared prior
to that date and that it was actively
managed on that date. The tree
plantation owner would need to send
copies of this documentation to the
renewable fuel producer when
supplying them with biomass that will
be used as a renewable fuel feedstock.
We anticipate that the recordkeeping
requirements will result in renewable
fuel producers amending their contracts
and modifying their supply chain
interactions to satisfy the requirement
that producers have documented
assurance and proof about their
feedstock’s origins. Enforcement will
rely in part on EPA’s review of
renewable fuel production reports and
attest engagements of renewable fuel
producers’ records. EPA will also
consult other data sources, including
any data made available by USDA, and
may conduct site visits or inspections of
feedstock producers’ and suppliers’
facilities.
The reporting requirements for
renewable biomass in today’s final rule
include, as proposed, include an
affirmation by the renewable fuel
producer for each batch of renewable
fuel for which they generate RINs that
the feedstocks used to produce the batch
meet the definition of renewable
biomass. Additionally, the final
reporting requirements include a
quarterly report to be sent to EPA by
each renewable fuel producer that
includes a summary of the types and
volumes of feedstocks used throughout
the quarter, as well as electronic data or
maps identifying the land from which
those feedstocks were harvested.
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Producers need not provide duplicate
maps if purchasing feedstocks multiple
times from one plot of land; producers
may cross-reference the previously
submitted map. Producers will also be
required to keep records tracing the
feedstocks from the land to the
renewable fuel production facility, other
written records from their feedstock
suppliers that serve as evidence that the
feedstock qualifies as renewable
biomass, and for producers using
planted trees or tree residue from tree
plantations, written records that serve as
evidence that the land from which the
feedstocks were obtained was cleared
prior to December 19, 2007 and actively
managed on that date. These
requirements will apply to renewable
fuel producers using feedstocks from
foreign sources (unless special
approvals are granted in the future, as
described below), or from domestic
sources, except for planted crops or crop
residue (discussed below).
This approach will be integrated into
the existing registration, recordkeeping,
reporting, and attest engagement
procedures for renewable fuel
producers. It places the burden of
implementation and enforcement on
renewable fuel producers rather than
bringing feedstock producers and
suppliers directly under EPA regulation,
minimizing the number of regulated
parties under RFS2.
EPA also sought comment on, and is
finalizing as an option, an alternative
approach in which EPA allows
renewable fuel producers and renewable
fuel feedstock producers and suppliers
to develop a quality assurance program
for the renewable fuel production
supply chain, similar to the model of
the successful Reformulated Gasoline
Survey Association. While individual
renewable fuel producers may still
choose to comply with the individual
renewable biomass recordkeeping and
reporting requirements rather than
participate in a quality assurance
program, we believe that this preferred
alternative could be less costly than an
individual compliance demonstration,
and it would add a quality assurance
element to RFS2. Those participating
renewable fuel producers would be
presumed to be in compliance with the
renewable biomass requirements unless
and until the quality assurance program
finds evidence to the contrary. Under
today’s rule, renewable fuel producers
must choose either to comply with the
individual renewable biomass
recordkeeping and reporting described
above, or they must participate in the
quality assurance program.
The quality assurance program must
be carried out by an independent
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auditor funded by renewable fuel
producers and feedstock suppliers. The
program must consist of a verification
program for participating renewable fuel
producers and renewable feedstock
producers and handlers designed to
provide independent oversight of the
feedstock handling processes that are
required to determine if a feedstock
meets the definition of renewable
biomass. Under this option, a
participating renewable fuel producer
and its renewable feedstock suppliers
and handlers would have to participate
in the funding of an organization which
arranges to have an independent auditor
conduct a program of compliance
surveys. The compliance audit must be
carried out by an independent auditor
pursuant to a detailed survey plan
submitted to EPA for approval by
November 1 of the year preceding the
year in which the alternative
compliance program would be
implemented. The compliance survey
program plan must include a
statistically supportable methodology
for the survey, the locations of the
surveys, the frequency of audits to be
included in the survey, and any other
elements that EPA determines are
necessary to achieve the same level of
quality assurance as the individual
recordkeeping and reporting
requirements included in the RFS2
regulations.
Under this alternative compliance
program, the independent auditor
would be required to visit participating
renewable feedstock producers and
suppliers to determine if the biomass
they supply to renewable fuel producers
meets the definition of renewable
biomass. This program would be
designed to ensure representative
coverage of participating renewable
feedstock producers and suppliers. The
auditor would generate and report the
results of the surveys to EPA each
calendar quarter. In addition, where the
survey finds improper designations or
handling, the renewable fuel producers
would be responsible for identifying
and addressing the root cause of the
problem. The renewable fuel producers
would have to take corrective action to
retire the appropriate number of invalid
RINs depending on the violation. EPA
received comments from a number of
parties who were supportive of this
option as an alternative and lessburdensome way of ensuring that
renewable fuel feedstocks meet the
definition of renewable biomass. EPA
believes this option to be an efficient
and effective means of implementing
and enforcing the renewable biomass
requirements of EISA, and has therefore
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included it as a compliance option in
today’s final rule.
ii. Approaches for Foreign Producers of
Renewable Fuel
The EISA renewable biomass
language does not distinguish between
domestic renewable fuel and fuel
feedstocks and renewable fuel and fuel
and feedstocks that come from abroad.
EPA proposed that foreign producers of
renewable fuel that is exported to the
U.S. be required to meet the same
compliance obligations as domestic
renewable fuel producers, as well as
some additional measure, discussed in
Section II.C., designed to facilitate EPA
enforcement in other countries. These
proposed obligations include facility
registration and submittal of
independent engineering reviews
(described in Section II.C below), and
reporting, recordkeeping, and attest
engagement requirements. The proposal
also would have included for foreign
producers the same obligations that
domestic producers have for verifying
that their feedstock meets the definition
of renewable biomass, such as certifying
on each renewable fuel production
report that their renewable fuel
feedstock meets the definition of
renewable biomass and working with
their feedstock suppliers to ensure that
they receive and maintain accurate and
sufficient documentation in their
records to support their claims.
(1) RIN-Generating Importers
EPA proposed to allow importers to
generate RINs for renewable fuel they
are importing into the U.S. only if the
foreign producer of that renewable fuel
had not already done so. Under the
proposal, in order to generate RINs,
importers would need to obtain
information from the registered foreign
producers concerning the point of origin
of their fuel’s feedstock and whether it
meets the definition of renewable
biomass. Therefore, we proposed that in
the event that a batch of foreignproduced renewable fuel does not have
RINs accompanying it when it arrives at
a U.S. port, an importer must obtain
documentation that proves that the
fuel’s feedstock meets the definition of
renewable biomass (as described in
Section II.B.4.a. of this preamble) from
the fuel’s producer, who must have
registered with the RFS program and
conducted a third-party engineering
review. With such documentation, the
importer could generate RINs prior to
introducing the fuel into commerce in
the U.S.
We sought comment on this proposed
approach and whether and to what
extent the approaches for ensuring
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compliance with the EISA’s land
restrictions by foreign renewable fuel
producers should differ from the
proposed approach for domestic
renewable fuel producers. We received
comments on the proposed
implementation option for importers of
foreign renewable fuel. Some argue that
the proposed recordkeeping
requirements for imported fuel were
overly burdensome. On the other hand,
others argued that importers, similarly
to domestic producers, should be
required to obtain information that can
serve as evidence that the feedstocks
meet the definition of renewable
biomass, in order to avoid fraud. Some
commenters also argued that importers
should be able to generate RINs for fuel
imported from foreign producers that
are not registered with EPA under the
RFS2 program.
For the final rule, EPA is requiring
that importers may only generate RINs
for renewable fuel if the foreign
producer has not already done so. The
foreign producers must be registered
with EPA under the RFS2 program, and
must have conducted an independent
engineering review. Furthermore, we are
requiring that importers obtain from the
foreign producer and maintain in their
records written documentation that
serves as evidence that the renewable
fuel for which they are generating RINs
was made from feedstocks meeting the
definition of renewable biomass. The
foreign producer that originally
generated the fuel must ensure that
these feedstock records are transferred
with each batch of fuel and ultimately
reach the RIN-generating importer. A
requirement that importers maintain
these renewable biomass records is
consistent with the renewable biomass
recordkeeping requirements imposed on
domestic producers of renewable fuel.
(2) RIN-Generating Foreign Producers
Foreign producers that intend to
generate RINs would be required to
designate renewable fuel intended for
export to the U.S. as such, segregate the
volume until it reaches the U.S., and
post a bond to ensure that penalties can
be assessed in the event of a violation,
as discussed in Section II.D.2.b.
Similarly to domestic producers of
renewable fuel, foreign producers must
obtain and maintain written
documentation from their feedstock
providers that can serve as evidence that
their feedstocks meet the definition of
renewable biomass. Foreign producers
may also develop a quality assurance
program for their renewable fuel
production supply chain, as described
above. However, while domestic
renewable fuel producers using crops or
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crop residues may rely on the aggregate
compliance approach described below
to ensure that their feedstocks are
renewable biomass, this approach is not
available at this time to foreign
renewable fuel producers, as described
below.
EPA believes that the renewable
biomass recordkeeping provisions are
necessary in order for EPA to ensure
that RINs are being generated for fuel
that meets EISA’s definition of
renewable fuel. Just as for domestic
producers, foreign producers must
maintain evidence that the fuel meets
the GHG reduction requirements and is
made from renewable biomass.
iii. Aggregate Compliance Approach for
Planted Crops and Crop Residue From
Agricultural Land
In light of the comments received on
the proposed renewable biomass
recordkeeping requirements and
implementation options, EPA sought
assistance from USDA in determining
whether existing data and data sources
might suggest an alternative method for
verifying compliance with renewable
biomass requirements associated with
the use of crops and crop residue for
renewable fuel production. Taking into
consideration publicly available data on
agricultural land available from USDA
and USGS as well as expected economic
incentives for feedstock producers, EPA
has determined that an aggregate
compliance approach is appropriate for
certain types of renewable biomass,
namely planted crops and crop residue
from the United States.
Under the aggregate compliance
approach, EPA is determining for this
rule the total amount of ‘‘existing
agricultural land’’ in the U.S. (as defined
above in Section II.B.4.a.) at the
enactment date of EISA, which is 402
million acres. EPA will monitor total
agricultural land annually to determine
if national agricultural land acreage
increases above this 2007 national
aggregate baseline. Feedstocks derived
from planted crops and crop residues
will be considered to be consistent with
the definition of renewable biomass and
renewable fuel producers using these
feedstocks will not be required to
maintain specific renewable biomass
records as described below unless and
until EPA determines that the 2007
national aggregate baseline is exceeded.
If EPA finds that the national aggregate
baseline is exceeded, individual
recordkeeping and reporting
requirements as described below will be
triggered for renewable fuel producers
using crops and crop residue. We
believe that the aggregate approach will
fully ensure that the EISA renewable
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14701
biomass provisions related to crops and
crop residue are satisfied, while also
easing the burden for certain renewable
fuel producers and their feedstock
`
suppliers vis-a-vis verification that their
feedstock qualifies as renewable
biomass.
As discussed in more detail below,
there are five main factors supporting
the aggregate compliance approach we
are taking for planted crops and crop
residue. First, EPA is using data sets
that allow us to obtain an appropriately
representative estimate of the
agricultural lands available under EISA
for the production of crops and crop
residue as feedstock for renewable fuel
production. Second, USDA data
indicate an overall trend of agricultural
land contraction. These data, together
with EPA economic modeling, suggest
that 2007 aggregate baseline acreage
should be sufficient to support EISA
renewable fuel obligations and other
foreseeable demands for crop products,
at least in the near term, without
clearing and cultivating additional land.
Third, EPA believes that existing
economic factors for feedstock
producers favor more efficient
utilization practices of existing
agricultural land rather than converting
non-agricultural lands to crop
production. Fourth, if, at any point, EPA
finds that the total amount of land in
use for the production of crops
including crops for grazing and forage is
equal or greater than 397 million acres
(i.e. within 5 million acres of EPA’s
established 402 million acre baseline),
EPA will conduct further investigations
to evaluate whether the presumption
built into the aggregate compliance
approach remains valid. Lastly, EPA has
set up a trigger mechanism that in the
event there are more than the baseline
amount of acres of cropland,
pastureland and CRP land in
production, renewable fuel producers
will be required to meet the same
individual or consortium-based
recordkeeping and reporting
requirements applicable to RINgenerating renewable fuel producers
using other feedstocks. Taken together,
these factors give EPA high confidence
that the aggregate compliance approach
for domestically grown crops and crop
residues meets the statutory obligation
to ensure feedstock volumes used to
meet the renewable fuel requirements
also comply with the definition of
renewable biomass.
(1) Analysis of Total Agricultural Land
in 2007
As described in Section II.B.4.a.
above, EPA is defining ‘‘existing
agricultural land’’ for purposes of the
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EISA land use restrictions on crops and
crop residue to include cropland,
pastureland and CRP land that was
cleared and actively managed or fallow
and nonforested on the date of EISA
enactment. To determine the aggregate
total acreage of existing agricultural
land for the aggregate compliance
approach on the date of EISA
enactment, EPA obtained from USDA
data representing total cropland
(including fallow cropland),
pastureland, and CRP land in 2007 from
three independently gathered national
land use data sources (discussed in
further detail below): The Farm Service
Agency (FSA) Crop History Data, the
USDA Census of Agriculture (2007), and
the satellite-based USDA Crop Data
Layer (CDL). In addition, CRP acreage is
provided by FSA’s annually published
‘‘Conservation Reserve Program:
Summary and Enrollment Statistics.’’ By
definition, the cropland, pastureland,
and CRP land included in these data
sources for 2007 were cleared or
cultivated on the date of EISA
enactment (December 19, 2007) and,
consistent with the principles set forth
in Section II.4.a.i, would be considered
‘‘actively managed’’ or fallow and
nonforested on that date. These
categories of lands include those from
which traditional crops, such as corn,
soy, wheat and sorghum, would likely
be grown. Therefore quantification of
cropland, pastureland, and CRP land
from these data sources represents a
reasonable assessment of the acreage in
the United States that is available under
the Act for the production of crops and
crop residues that could satisfy the
definition of renewable biomass in
EISA.
Conservation Reserve Program Data.
FSA reports CRP enrollment acreage
each year in the publication
‘‘Conservation Reserve Program:
Summary and Enrollment Statistics.’’
The CRP program includes the general
CRP, the Conservation Reserve
Enhancement Program (CREP), and the
Farmable Wetlands Program (FWP). The
Wetlands Reserve Program (WRP) and
Grasslands Reserve Program (GRP) are
not under CRP and are not included in
the total agricultural land figure in this
rulemaking. The 2007 CRP acreage was
36.7 million acres. This is an exact
count of acreage within the CRP
program in 2007.
Farm Service Agency Crop History
Data. The FSA maintains annual
records of field-level land use data for
all farms enrolled in FSA programs.
Almost all national cropland and
pastureland is reported through FSA
and recorded in this data set. We used
the ‘‘Cropland’’ category to determine
total agricultural land. Pastureland is
reported by farms under the category
‘‘Cropland’’ as cropland used for grazing
and forage under the crop type ‘‘mixed
forage.’’ Timber land and any grazed
native grass was removed from the
‘‘Cropland’’ category, because these land
types represent either forestland or
rangeland, which are not within the
definition of existing agricultural land.
CRP lands and other conservation
program lands are also reported as
cropland. Because GRP and WRP lands
are not within the definition of ‘‘existing
agricultural land’’ as defined in today’s
regulations, they were also subtracted
from the ‘‘Cropland’’ category total. FSA
Crop History Data show that there was
402 million acres of agricultural land, as
defined here, in the U.S. in 2007 (See
Table II.B.4–1).
TABLE II.B.4–1—TOTAL U.S. AGRICULTURAL LAND IN 2007 FROM USDA DATA SOURCES
FSA crop
history data
Land category
Agricultural
census data
365
37
367
37
Total Land .........................................................................................................................................................
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Cropland and Pastureland .......................................................................................................................................
CRP Land ................................................................................................................................................................
402
404
USDA Census of Agriculture. USDA
conducts a full census of the U.S.
agricultural sector once every five years.
The data are available for the U.S., each
of the 50 States, and for each county.
The most recent census available is the
2007 Census of Agriculture. For the
purpose of this rulemaking, USDA
provided EPA total acreage and 95%
confidence intervals for the Census
category ‘‘Total Cropland,’’ which
includes the sub-categories ‘‘Harvested
cropland,’’ ‘‘Cropland used only for
pasture and grazing,’’ and ‘‘Other
cropland.’’ WRP and GRP acreage are
included in ‘‘Other cropland,’’ so, for
purposes of this rulemaking, they were
subtracted from the sub-category
number (see above). The analysis
excluded the ‘‘Permanent rangeland and
pasture’’ category, as the pasture data
cannot be separated from rangeland in
this category. Total CRP acreage in 2007
was added to ‘‘Total cropland.’’ With
these adjustments, the Census of
Agriculture showed 404 million acres
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(95% confidence range 401–406 million
acres) of existing agricultural land as
defined in today’s rule, in the U.S. in
2007 (See Table II.B.4–1).
Crop Data Layer. The USDA National
Agricultural Statistics Service (NASS)
Crop Data Layer (CDL) is a raster, georeferenced, crop-specific land cover data
layer suitable for use in geographic
information systems (GIS) analysis.
Based on satellite data, the CDL has a
ground resolution of 56 meters and was
verified using FSA surveys. The CDL
covers 21 major agricultural states for
2007 and therefore cannot be used to
determine a 2007 national aggregate
agricultural land baseline. There will be
full coverage of the 48 contiguous states
for 2009, and the CDL can be used for
analysis validation purposes during
monitoring. From 2010 onward, it
coverage of the 48 contiguous states will
be dependent on available funding. GIS
analyses of the CDL will include all
cropland and pastureland data for each
state. To ensure that non-pasture
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grasslands are not included in the final
sum, all areas of the ‘‘Grassland
herbaceous’’ category from the U.S.
Geological National Land Cover Data
layer (NLCD) that overlap the CDL
layers are removed from the total
agricultural land number. Producer and
user accuracies 8 are available for the
CDL crop categories.
Primary Data Source Selection for
Aggregate Compliance Approach. EPA
has determined that the FSA Crop
History Data will be used as the data set
on which the total existing agricultural
land baseline will be based for the
aggregate compliance approach. The
FSA Crop History Data is the only
complete data set for 2007 that is
collected annually, enabling EPA to
monitor agricultural land expansion or
8 ‘‘Producer Accuracy’’ indicates the probability
that a groundtruth pixel will be correctly mapped
and measures errors of omission; ‘‘User Accuracy’’
indicates the probability that a pixel from the
classification actually matches the groundtruth data
and measures errors of omission.
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contraction from year to year using a
consistent data set. The total existing
agricultural land value derived from
FSA Crop History Data rests within the
95% confidence interval of the 2007
Census of Agriculture and is only 2
million acres less than the Census of
Agriculture point estimate. The Census
of Agriculture provides slightly fuller
coverage than the FSA Crop History
Data due to the nature of the data
collection; however, given that both
data collection systems have consistent
and long-standing methodologies, the
disparity between the two should
remain approximately constant.
Therefore, the FSA Crop History Data
will provide a consistent data set for
analyzing any expansion or contraction
of total national agricultural land in the
U.S.
During its annual monitoring, EPA
will use the FSA Crop History Data and
the CDL analyses as a secondary source
to validate our annual assessment. In
years when the Census of Agriculture is
updated, this data will also be used to
validate our annual assessment. Other
data sources, such as the annual NASS
Farms, Land in Farms and Livestock
Operations may also be useful as
secondary data checks. Lastly, EPA
intends to consider, as appropriate,
other data sources for the annual
monitoring analysis of total agricultural
land as new technologies and data
sources come online that would
improve the accuracy and robustness of
annual monitoring.
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(2) Aggregate Agricultural Land Trends
Over Time
The Census of Agriculture (conducted
every five years) shows that U.S.
agricultural land has decreased by 44
million acres from 1997 to 2007,
indicating an overall decade trend of
contraction of agricultural land
utilization despite some year-to-year
variations that can be seen by reference
to the annual FSA Crop History records
(See Table II.B.4–2 and Table II.B.4–3).
EPA’s FASOM modeling results, which
model full EISA volumes in 2022,
support this contraction trend,
indicating that total cropland,
pastureland, and CRP land in the U.S.
in 2022, under a scenario of full
renewable fuel volume as required by
EISA, would be less than the 2007
national acreage reported in the FSA
Crop History Data (See preamble
Section VII and RIA Chapter 5).
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TABLE II.B.4–2—TOTAL AGRICULTURAL
LAND (AS DEFINED IN SECTION
II.B.4.a) COUNTED IN THE CENSUS
OF AGRICULTURE FROM 1997–2007
Census year
Total agricultural land
(millions of acres)
2007 ......................
2002 * ....................
1997 * ....................
404
431
445
* 2002 data do not include farms with land in
FWP or CREP.
TABLE II.B.4–3—TOTAL AGRICULTURAL
LAND (AS DEFINED IN SECTION
II.B.4.a) RECORDED IN FSA CROP
HISTORY DATA FROM 2005–2007
Total agricultural land
(millions of acres)
Year
2007 ......................
2006 ......................
2005 ......................
402
393
392
(3) Aggregate Compliance Determination
The foundation of the aggregate
compliance approach is establishment
of a baseline amount of eligible
agricultural land that was cleared or
cultivated and actively managed or
fallow and non-forested on December
19, 2007. Based on USDA–FSA Crop
History Data, EPA is establishing a
baseline of 402 million acres of U.S.
agricultural land, as defined in Section
II.B.4.a and based upon the methods
described in Section II.B.4.c.iii.(1), that
is eligible for production of planted
crops and crop residue meeting the
EISA definition of renewable biomass.
EPA will monitor total U.S. agricultural
land annually, using FSA Crop History
Data as a primary determinant, but
using other data sources for support
(See Section II.4.c.iii.(1)). If, at any
point, EPA finds that the total land in
use for the production of crops,
including crops for grazing and forage,
is greater than 397 million acres (i.e.
within 5 million acres of EPA’s
established 402 million acre baseline),
EPA will conduct further investigations
to evaluate whether the presumption
built into the aggregate compliance
approach remains valid. Additionally, if
EPA determines that the data indicates
that this 2007 baseline level of eligible
agricultural land has been exceeded,
EPA will publish in the Federal
Register a finding to that effect, and
additional requirements will be
triggered for renewable fuel producers
to verify that they are using planted
crops and crop residue from ‘‘existing
agricultural land’’ as defined in today’s
rule as their renewable fuel feedstock.
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EPA’s findings will be published by
November 30, at the latest. If in
November the 402 million acres
baseline is found to be exceeded, then
on July 1 of the following year,
renewable fuel producers using
feedstocks qualifying for this aggregate
compliance approach, namely planted
crops and crop residue from the United
States, will be required to comply with
the recordkeeping and reporting
requirements applicable to producers
using other types of renewable biomass,
as described in the previous sections.
This includes the option that fuel
producers could utilize a third-party
consortium to demonstrate compliance.
EPA acknowledges that it is possible
that under this approach some of the
land available under EISA for crop
production on the date of EISA
enactment could be retired and other
land brought into production, without
altering the assessment of the aggregate
amount of cropland, pastureland and
CRP land. Under EISA, crops or crop
residues from the new lands would not
qualify as renewable biomass. However,
EPA expects such shifts in acreage to be
de minimus, as long as the total
aggregate amount of agricultural land
does not exceed the 2007 national
aggregate baseline. EPA expects that
new lands are unlikely to be cleared for
agricultural purposes for two reasons.
First, it can be assumed that most
undeveloped land that was not used as
agricultural land in 2007 is generally
not suitable for agricultural purposes
and would serve only marginally well
for production of renewable fuel
feedstocks. Due to the high costs and
significant inputs that would be
required to make the non-agricultural
land suitable for agricultural purposes,
it is highly unlikely that farmers will
undertake the effort to ‘‘shift’’ land that
is currently non-agricultural into
agricultural use. Second, crop yields are
projected to increase, reducing the need
for farmers to clear new land for
agricultural purposes. We believe that
this effect is reflected in the overall
trend, discussed earlier, of an overall
contraction in agricultural land acreage
over time.
If EPA determines that the baseline is
exceeded, and that individual
compliance with the renewable biomass
reporting and recordkeeping
requirements is triggered, renewable
fuel producers using crops and crop
residue as a feedstock for renewable fuel
would become responsible, beginning
July 1 of the following year, for meeting
individual recordkeeping and reporting
requirements related to renewable
biomass verification. These
requirements are identical to those that
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apply to producers using other types of
renewable biomass feedstocks, such as
planted trees from tree plantations, as
described in the previous sections.
Renewable fuel producers generating
RINs under the RFS2 program would
continue to be required to affirm
(through EMTS—EPA Moderated
Transaction System) for each batch of
renewable fuel that their feedstocks
meet the definition of renewable
biomass. Additionally, producers would
send a quarterly report to EPA that
includes a summary of the types and
volumes of feedstocks used throughout
the quarter, as well as electronic data or
maps identifying the land from which
those feedstocks were harvested.
Furthermore, those RIN-generating
renewable fuel producers will be
required to obtain and maintain in their
files written records from their
feedstock suppliers for each feedstock
purchase that identify where the
feedstocks were produced and that are
sufficient to verify that the feedstocks
qualify as renewable biomass. This
includes maps and/or electronic data
identifying the boundaries of the land
where the feedstock was produced,
PTDs or bills of lading tracing the
feedstock from that land to the
renewable fuel production facility, and
other written records that serve as
evidence that the feedstock qualifies as
renewable biomass. Finally, producers
using planted crops and crop residue
must maintain additional
documentation that serves as evidence
that the agricultural land used to
produce the crop or crop residue was
cleared or cultivated and actively
managed or fallow, and nonforested on
December 19, 2007. This documentation
must consist of the following types of
records which must be traced to the
land in question: sales records for
planted crops, crop residue, or
livestock, purchasing records for land
treatments such as fertilizer, weed
control, or reseeding or a written
agricultural management plan or
documentation of participation in an
agricultural program sponsored by a
Federal, State or local government
agency.
Alternatively, if the baseline is
exceeded and the requirements are
triggered for individual producer
verification that their feedstocks are
renewable biomass renewable fuel
producers may choose to work with
other renewable fuel producers as well
as feedstock producers and suppliers to
develop a quality assurance program for
the renewable fuel production supply
chain. This quality assurance program
would take the place of individual
accounting and would consist of an
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independent third party qualityassurance survey of all participating
renewable fuel producers and their
feedstock suppliers, completed in
accordance with an industry-developed,
EPA-approved plan, to ensure that they
are utilizing feedstocks that meet the
definition of renewable biomass. An indepth discussion of this industry survey
option is included in the previous
section.
While the aggregate compliance
approach is appropriate for planted
crops and crop residues from
agricultural land in the United States,
due in part to certain additional or
different constraints imposed by EISA,
the aggregate approach cannot be
applied, at this time, to the other types
of renewable biomass. Renewable fuel
producers utilizing these types of
renewable biomass, including planted
trees and tree residues from tree
plantations, slash and pre-commercial
thinnings from non-federal forestland,
animal waste, separated yard and food
waste, etc., will be subject to the
individual reporting and recordkeeping
requirements discussed in the previous
section.
Additionally, EPA is not finalizing the
aggregate compliance approach for
foreign producers of renewable fuel.
EPA does not, at this time, have
sufficient data to make a finding that
non-domestically grown crops and crop
residues used in renewable fuel
production satisfy the definition of
renewable biomass. Nevertheless, if, in
the future, adequate land use data
becomes available to make a finding
that, in the aggregate, crops and crop
residues used in renewable fuel
production in a particular country
satisfy the definition of renewable
biomass, EPA is willing to consider an
aggregate compliance approach for
renewable biomass on a country by
country basis, in lieu of the individual
recordkeeping and reporting
requirements.
d. Treatment of Municipal Solid Waste
(MSW)
The statutory definition of ‘‘renewable
biomass’’ does not include a reference to
municipal solid waste (MSW) as did the
definition of ‘‘cellulosic biomass
ethanol’’ in the Energy Policy Act of
2005 (EPAct), but instead includes
‘‘separated yard waste and food waste.’’
We solicited comment on whether
EPA can and should interpret EISA as
including MSW that contains yard and/
or food waste within the definition of
renewable biomass. On the one hand,
the reference in the statutory definition
to ‘‘separated yard waste and food
waste,’’ and the lack of reference to other
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components of MSW (such as waste
paper and wood waste) suggests that
only yard and food wastes physically
separated from other waste materials
satisfy the definition of renewable
biomass. On the other hand, we noted
that EISA does not define the term
‘‘separated,’’ and so does not specify the
degree of separation required. We also
noted that there was some evidence in
the Act that Congress did not intend to
exclude MSW entirely from the
definition of renewable biomass. The
definition of ‘‘advanced biofuel’’
includes a list of fuels that are ‘‘eligible
for consideration’’ as advanced biofuel,
including ‘‘ethanol derived from waste
material’’ and biogas ‘‘including landfill
gas.’’
As an initial matter, we note that
some materials clearly fall within the
definition of ‘‘separated yard or food
waste.’’ The statute itself identifies
‘‘recycled cooking and trap grease’’ as
one example of separated food waste.
An example of separated yard waste is
the leaf waste that many municipalities
pick up at curbside and keep separate
from other components of MSW for
mulching or other uses. However, a
large quantity of food and yard waste is
disposed of together with other
household waste as part of MSW. EPA
estimates that about 120 million tons of
MSW are disposed of annually much of
it inextricably mixed with yard and
especially food waste. This material
offers a potentially reliable, abundant
and inexpensive source of feedstock for
renewable fuel production which, if
used, could reduce the volume of
discarded materials sent to landfills and
could help achieve both the GHG
emissions reductions and energy
independence goals of EISA. Thus, EPA
believes we should consider under what
conditions yard and food waste that is
present in MSW can be deemed
sufficiently separated from other
materials to qualify as renewable
biomass.
One commenter stated that it is clear
that MSW does not qualify as renewable
biomass under EISA, since the 2005
Energy Policy Act explicitly allowed for
qualifying renewable fuel to be made
from MSW, and EISA has no mention of
it. Commenters from the renewable fuel
industry generally favored maximum
flexibility for the use of MSW in
producing qualifying fuels under EISA,
offering a variety of arguments based on
the statutory text and reasons why it
would benefit the environment and the
nation’s energy policy to do so. They
favored either (1) a determination that
unsorted MSW can be used as a
feedstock for advanced biofuel even if it
does not meet the definition of
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renewable biomass, (2) that the Act be
interpreted to include MSW as
renewable biomass, or (3) that MSW
from which varying amounts of
recyclable materials have been removed
could qualify as renewable biomass. A
consortium of ten environmental groups
said that for EISA volume mandates to
be met, it is important to take advantage
of biomass resources from urban wastes
that would otherwise be landfilled.
They urged that post-recycling residues
(i.e., those wastes that are left over at
material recovery facilities after
separation and recycling) would fit
within the letter and spirit of the
definition of renewable biomass.
EPA does not believe that the statute
can be reasonably interpreted to allow
advanced biofuel to be made from
material that does not meet the
definition of renewable biomass as
suggested in the first approach. The
definition of advanced biofuel specifies
that it is a form of ‘‘renewable fuel,’’ and
renewable fuel is defined in the statute
as fuel that is made from renewable
biomass. While the definition of
advanced biofuel includes a list of
materials that ‘‘may’’ be ‘‘eligible for
consideration’’ as advanced biofuel, and
that list includes ‘‘ethanol derived from
waste materials’’ and biogas ‘‘including
landfill gas,’’ the fact that the specified
items are ‘‘eligible for consideration’’
indicates that they do not necessarily
qualify but must meet the definitional
requirements—being ‘‘renewable fuel’’
made from renewable biomass and
having life cycle greenhouse gas
emissions that are at least 50% less than
baseline fuel. There is nothing in the
statute to suggest that Congress used the
term ‘‘renewable fuel’’ in the definition
of ‘‘advanced biofuel’’ to have a different
meaning than the definition provided in
the statute. The result of the
commenter’s first approach would be
that general renewable fuel and
cellulosic biofuel would be required to
be made from renewable biomass
because the definitions of those terms
specifically refer to renewable biomass,
whereas advanced biofuel and biomassbased diesel would not, because their
definitions refer to ‘‘renewable fuel’’
rather than ‘‘renewable biomass.’’ EPA
can discern no basis for such a
distinction. EPA believes that the Act as
a whole is best interpreted as requiring
all types of qualifying renewable fuels
under EISA to be made from renewable
biomass. In this manner the land and
feedstock restrictions that Congress
deemed important in the context of
biofuel production apply to all types of
renewable fuels.
EPA also does not agree with the
commenter who suggested that the
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listing in the definition of renewable
biomass of ‘‘biomass obtained from the
immediate vicinity of buildings and
other areas regularly occupied by
people, or of public infrastructure, at
risk from wildfire’’ should be interpreted
to include MSW. It is clear that the term
‘‘at risk of wildfire’’ modifies the entire
sentence, and the purpose of the listing
is to make the biomass that is removed
in wildfire minimization efforts, such as
brush and dead woody material,
available for renewable fuel production.
Such material does not typically include
MSW. Had Congress intended to
include MSW in the definition of
renewable biomass, EPA believes it
would have clearly done so, in a manner
similar to the approach taken in EPAct.
EPA also does not believe that it
would be reasonable to interpret the
reference to ‘‘separated yard or food
waste’’ to include unsorted MSW.
Although MSW contains yard and food
waste, such an approach would not give
meaning to the word ‘‘separated.’’
We do believe, however, that yard and
food wastes that are part of MSW, and
are separated from it, should qualify as
renewable biomass. MSW is the logical
source from which yard waste and food
waste can be separated. As to the degree
of separation required, some
commenters suggested a simple ‘‘post
recycling’’ test be appropriate. They
would leave to municipalities and waste
handlers a determination of how much
waste should be recycled before the
residue was used as a feedstock for
renewable fuel production. EPA
believes that such an approach would
not guarantee sufficient ‘‘separation’’
from MSW of materials that are not yard
waste or food waste to give meaning to
the statutory text. Instead, EPA believes
it would be reasonable in the MSW
context to interpret the word
‘‘separated’’ in the term ‘‘separated yard
or food waste’’ to refer to the degree of
separation to the extent that is
reasonably practicable. A large amount
of material can be, and is, removed from
MSW and sold to companies that will
recycle the material. EPA believes that
the residues remaining after reasonably
practicable efforts to remove recyclable
materials other than food and yard
waste (including paper, cardboard,
plastic, textiles, metal and glass) from
MSW should qualify as separated yard
and food waste. This MSW-derived
residue would likely include some
amount of residual non-recyclable
plastic and rubber of fossil fuel origin,
much of it being wrapping and
packaging material for food. Since this
material cannot be practicably separated
from the remaining food and yard waste,
EPA believes it is incidental material
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that is impractical to remove and
therefore appropriate to include in the
category of separated food and yard
waste. In sum, EPA believes that the
biogenic portion of the residue
remaining after paper, cardboard,
plastic, textiles metal and glass have
been removed for recycling should
qualify as renewable biomass. This
interpretation is consistent with the text
of the statute, and will promote the
productive use of materials that would
otherwise be landfilled. It will also
further the goals of EISA in promoting
energy independence and the reduction
of GHG emissions from transportation
fuels.
EPA notes there are a variety of
recycling methods that can be used,
including curbside recycling programs,
as well as separation and sorting at a
material recovery facility (MRF). For the
latter, the sorting could be done by hand
or by automated equipment, or by a
combination of the two. Sorting by hand
is very labor intensive and much slower
than using an automated system. In
most cases the ‘‘by-hand’’ system
produces a slightly cleaner stream, but
the high cost of labor usually makes the
automated system more cost-effective.
Separation via MRFs is generally very
efficient and can provide comparable if
not better removal of recyclables to that
achieved by curbside recycling.
Based on this analysis, today’s rule
provides that those MSW-derived
residues that remain after reasonably
practicable separation of recyclable
materials other than food and yard
waste is renewable biomass. What
remains to be addressed is what
regulatory mechanisms should be used
to ensure the appropriate generation of
RINs when separated yard and food
waste is used as a feedstock. We are
finalizing two methods.
The first method would apply
primarily to a small subset of producers
who are able to obtain yard and/or food
wastes that have been kept separate
since waste generation from the MSW
waste stream. Examples of such wastes
are lawn and leaf waste that have never
entered the general MSW waste stream.
Typically, such wastes contain
incidental amounts of materials such as
the plastic twine used to bind twigs
together, food wrappers, and other
extraneous materials. As with our
general approach to the presence of
incidental, de minimus contaminants in
feedstocks that are unintentionally
present and impractical to remove, the
presence of such material in separated
yard or food waste will not disqualify
such wastes as renewable biomass, and
the contaminants may be disregarded by
producers and importers generating
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RINs. (See definition of renewable
biomass and 80.1426(f)(1).) Waste
streams kept separate since generation
from MSW that consist of yard waste are
expected to be composed almost
entirely of woody material or leaves,
and therefore will be deemed to be
composed of cellulosic materials. Waste
streams consisting of food wastes,
however, may contain both cellulosic
and non-cellulosic materials. For
example, a food processing plant may
generate both wastes that are primarily
starches and sugars (such as carrot and
potato peelings, as well as fruits and
vegetables that are discarded) as well as
corn cobs and other materials that are
cellulosic. We will deem waste streams
consisting of food waste to be composed
entirely of non-cellulosic materials, and
qualifying as advanced biofuels, unless
the producer demonstrates that some
portion of the food waste is cellulosic.
The cellulosic portion would then
qualify as cellulosic biofuel. The
method for quantifying the cellulosic
and non-cellulosic portions of the food
waste stream is to be described in a
written plan which must be submitted
to EPA under the registration
procedures in 80.1450(b)(vii) for
approval and which indicates the
location of the facility from which
wastes are obtained, how identification
and quantification of waste material is
to be accomplished, and evidence that
the wastes qualify as fully separated
yard or food wastes. The producer must
also maintain records regarding the
source of the feedstock and the amounts
obtained.
The second method would involve
use as feedstock by a renewable fuel
producer of the portion of MSW
remaining after reasonably practical
separation activities to remove
recyclable materials, resulting in a
separated MSW-derived residue that
qualifies as separated yard and food
waste. Today’s rule requires that parties
that intend to use MSW-derived residue
as a feedstock for RIN-generating
renewable fuel production ensure that
reasonably practical efforts are made to
separate recyclable paper, cardboard,
textiles, plastics, metal and glass from
the MSW, according to a plan that is
submitted by the renewable fuel
producer and approved by EPA under
the registration procedures in
80.1450(b)(viii). In determining whether
the plan submittals provide for
reasonably practicable separation of
recyclables EPA will consider: (1) The
extent and nature of recycling that may
have occurred prior to receipt of the
MSW material by the renewable fuel
producer, (2) available recycling
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technology and practices, and (3) the
technology or practices selected by the
fuel producer, including an explanation
for such selection and reasons why
other technologies or practices were not
selected. EPA asks that any CBI
accompanying a plan or a party’s
justification for a plan be segregated
from the non-CBI portions of the
submissions, so as to facilitate
disclosure of the non-CBI portion of
plan submittals, and approved plans, to
interested members of the public.
Producers using this second option,
will need to determine what RINs to
assign to a fuel that is derived from a
variety of materials, including yard
waste (largely cellulosic) and food waste
(largely starches and sugar), as well as
incidental materials remaining after
reasonably practical separation efforts
such as plastic and rubber of fossil
origin. EPA has not yet evaluated the
lifecycle greenhouse gas performance of
fuel made from such mixed sources of
waste, so is unable at this time to assign
a D code for such fuel. However, if a
producer uses ASTM test method
D–6866 on the fuel made from MSWderived feedstock, it can determine
what portion of the rule is of fossil and
non-fossil origin. The non-fossil portion
of the fuel will likely be largely derived
from cellulosic materials (yard waste,
textiles, paper, and construction
materials), and to a much smaller extent
starch-based materials (food wastes).
Unfortunately, EPA is not aware of a test
method that is able to distinguish
between cellulosic- and starch-derived
renewable fuel. Under these
circumstances, EPA believes that it is
appropriate for producers to base RIN
assignment on the predominant
component and, therefore, to assume
that the biogenic portion of their fuel is
entirely of cellulosic origin. The nonbiogenic portion of the fuel, however,
would not qualify for RINs at this time.
Thus, in sum, we are providing via the
ASTM testing method an opportunity
for producers using an MSW-derived
feedstock to generate RINs only for the
biogenic portion of their renewable fuel.
There is no D code for the remaining
fossil-derived fraction of the fuel in
today’s rule nor for the entire volume of
renewable fuel produced when using
MSW-derived residue as a feedstock.
The petition process for assigning such
codes in today’s rule can be used for
such purpose.
Procedures for the use of ASTM
Method D–6866 are detailed in 40 CFR
80.1426(f)(9) of today’s rule. We
solicited comment on this method, and
while the context of the discussion of
method D–6866 was with respect to
using it for gasoline (see 74 FR 24951),
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the comments we received provided us
information on the method itself. Also,
commenters were supportive of its use.
Fuel producers must either run the
ASTM D–6866 method for each batch of
fuel produced, or run it on composite
samples of the food and yard wastederived fuel derived from post-recycling
MSW residues. Producers will be
required at a minimum to take samples
of every batch of fuel produced over the
course of one month and combine them
into a single composite sample. The
D–6866 test would then be applied to
the composite sample, and the resulting
non-fossil derived fraction will be
deemed cellulosic biofuel, and applied
to all batches of fuel produced in the
next month to determine the
appropriate number of RINs that must
be generated. The producer would be
required to recalculate this fraction at
least monthly. For the first month, the
producer can estimate the non-fossil
fraction, and then make a correction as
needed in the second month. (The
procedure using the ASTM D–6866
method applies not only to the wastederived fuel discussed here but also to
all partially renewable transportation
fuels, and is discussed in further detail
in Section II.D.4. See also the
regulations at § 80.1426(f)(4)).
The procedures for assigning D codes
to the fuel produced from such wastes
are discussed in further detail in Section
II.D.5.
One commenter suggested that biogas
from landfills should be treated in the
same manner as renewable fuel
produced from MSW. EPA agrees with
the commenter to a certain extent. The
definition of ‘‘advanced biofuels’’ in
EISA identifies ‘‘Biogas (including
landfill gas and sewage waste treatment
gas) produced through the conversion of
organic matter from renewable biomass’’
as ‘‘eligible for consideration’’ as an
advanced biofuel. However, as with
MSW, the statute requires that advanced
biofuel be a ‘‘renewable fuel’’ and that
such fuel be made from ‘‘renewable
biomass.’’ The closest reference within
the definition of renewable biomass to
landfill material is ‘‘separated yard or
food waste.’’ However, in applying the
interpretation of ‘‘separated’’ yard and
food waste described above for MSW to
landfill material, we come to a different
result. Landfill material has by design
been put out of practical human reach.
It has been disposed of in locations, and
in a manner, that is designed to be
permanent. For example, modern
landfills are placed over impermeable
liners and sealed with a permanent cap.
In addition, the food and yard waste
present in a landfill has over time
become intermingled with other
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materials to an extraordinary extent.
This occurs in the process of waste
collection, shipment, and disposal, and
subsequently through waste decay,
leaching and movement within the
landfill. Additionally, we note that the
process of biogas formation in a landfill
provides some element of separation, in
that it is formed only from the biogenic
components of landfill material,
including but not strictly limited to food
and yard waste. Thus, plastics, metal
and glass are effectively ‘‘separated’’ out
through the process of biogas formation.
As a result of the intermixing of wastes,
the fact that biogas is formed only from
the biogenic portion of landfill material,
and the fact that landfill material is as
a practical matter inaccessible for
further separation, EPA believes that no
further practical separation is possible
for landfill material and biogas should
be considered as produced from
separated yard and food waste for
purposes of EISA. Therefore, all biogas
from landfills is eligible for RIN
generation.
We have considered whether to
require biogas producers to use ASTM
Method D–6866 to identify the biogenic
versus non-biogenic fractions of the
fuel. However, as noted above, biogas is
not formed from non-biogenic
compounds in landfills. (Kaplan, et al.,
2009) 9 Thus, no purpose would be
solved in using the ASTM method in
the biogas context.
C. Expanded Registration Process for
Producers and Importers
In order to implement and enforce the
new restrictions on qualifying
renewable fuel under RFS2, we are
revising the registration process for
renewable fuel producers and importers.
Under the RFS1 program, all producers
and importers of renewable fuel who
produce or import more than 10,000
gallons of fuel annually must register
with EPA’s fuels program prior to
generating RINs. Renewable fuel
producer and importer registration
under the RFS1 program consists of
filling out two forms: 3520–20A (Fuels
Programs Company/Entity Registration),
which requires basic contact
information for the company and basic
business activity information and 3520–
20B (Gasoline Programs Facility
Registration) or 3520–20B1 (Diesel
Programs Facility Registration), which
require basic contact information for
9 Kaplan, et al. (2009). ‘‘Is it Better to Burn or Bury
Waste for Clean Electricity Generation?’’
Environmental Science & Technology 2009 43(6),
1711–1717 (Found in Table S1 of supplemental
material to the article, at https://pubs.acs.org/doi/
suppl/10.1021/es802395e/suppl_file/
es802395e_si_001.pdf).
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each facility owned by the producer or
importer. More detailed information on
the renewable fuel production facility,
such as production capacity and
process, feedstocks, and products was
not required for most producers or
importers to generate RINs under RFS1
(producers of cellulosic biomass ethanol
and waste-derived ethanol are the
exception to this).
Additionally, EPA recommends
companies register their renewable fuels
or fuel additives under title 40 CFR part
79 as a motor vehicle fuel. In fact,
renewable fuels intended for use in
motor vehicles will be required to be
registered under title 40 CFR part 79
prior to any introduction into
commerce. Manufacturers and
subsequent parties of fuels and fuel
additives not registered under part 79
will be liable for separate penalties
under 40 CFR parts 79 and 80 in the
event their unregistered product is
introduced into commerce for use in a
motor vehicle. Further if a registered
fuel or fuel additive is used in manner
that is not consistent with their
product’s registration under part 79 the
manufacturer and subsequent parties
will be liable for penalties under parts
79 and 80. If EPA determines based on
the company’s registration that they are
not producing renewable fuel, the
company will not be able to generate
RINs and the RINs generated for fuel
produced from nonrenewable sources
will be invalidated.
Due to the revised definitions of
renewable fuel under EISA, we
proposed to expand the registration
process for renewable fuel producers
and importers in order to implement the
new program effectively. We received a
number of comments that opposed the
expanded registration as commenters
deemed it overly burdensome, costly
and unnecessary. However, EPA is
finalizing the proposed expanded
registration requirements for the
following reasons. The information to be
collected through the expanded
registration process is essential to
generating and assigning a certain
category of RIN to a volume of fuel.
Additionally, the information collected
is essential to determining whether the
feedstock used to produce the fuel
meets the definition of renewable
biomass, whether the lifecycle
greenhouse gas emissions of the fuel
meets a certain GHG reduction
threshold and, in some cases, whether
the renewable fuel production facility is
considered to be grandfathered into the
program. Therefore, we are requiring
producers, including foreign producers,
and importers that generate RINs to
provide us with information on their
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feedstocks, facilities, and products, in
order to implement and enforce the
program and have confidence that
producers and importers are properly
categorizing their fuel and generating
RINs. The registration procedures will
be integrated with the new EPA
Moderated Transaction System,
discussed in detail in Section III.A of
this preamble.
1. Domestic Renewable Fuel Producers
Information on products, feedstocks,
and facilities contained in a producer’s
registration will be used to verify the
validity of RINs generated and their
proper categorization as either cellulosic
biofuel, biomass-based diesel, advanced
biofuel, or other renewable fuel. In
addition, producers of renewable fuel
from facilities that qualify for the
exemption from the 20% GHG reduction
threshold (as discussed in Section
II.B.3) must provide information that
demonstrates when the facility
commenced construction, and that
establishes the baseline volume of the
fuel. For those facilities that would
qualify as grandfathered but are not in
operation we are allowing until May 1,
2013 to submit and receive approval for
a complete facility registration. This
provision does not require actual fuel
production, but simply the filing of
registration materials that assert a claim
for exempt status. It will benefit both
fuel producers, who will likely be able
to more readily collect the required
information if it is done promptly, and
EPA enforcement personnel seeking to
verify the information. However, given
the potentially significant implications
of this requirement for facilities that
may qualify for the exemption but miss
the registration deadline, the rule also
provides that EPA may waive the
requirement if it determines that the
submission is verifiable to the same
extent as a timely-submitted
registration.
With respect to products, we are
requiring that producers provide
information on the types of renewable
fuel and co-products that a facility is
capable of producing. With respect to
feedstocks, we are requiring producers
to provide to EPA a list of all the
different feedstocks that a renewable
fuel producer’s facility is likely to use
to convert into renewable fuel. With
respect to the producer’s facilities, two
types of information must be reported to
the Agency. First, producers must
describe each facility’s fuel production
processes (e.g., wet mill, dry mill,
thermochemical, etc.), and thermal/
process energy source(s). Second, in
order to determine what production
volumes would be grandfathered and
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thus deemed to be in compliance with
the 20% GHG threshold, we are
requiring evidence and certification of
the facility’s qualification under the
definition of ‘‘commence construction’’
as well as information necessary to
establish its renewable fuel baseline
volume per the requirement outlined in
Section II.B.3 of this preamble.
EPA proposed to require that
renewable fuel producers have a thirdparty engineering review of their
facilities prior to generating RINs under
RFS2, and every 3 years thereafter. EPA
received comments that the on-site
engineering review was overly
burdensome, unnecessary and costly. A
number of commenters noted that the
time allotted for conducting the reviews,
between the rule’s publication and prior
to RIN generation, is not adequate for
producers to hire an engineer and
conduct the review for all of their
facilities. Several commenters requested
that on-site licensed engineers be
allowed to conduct any necessary
facility reviews.
EPA is finalizing the proposed
requirement for an on-site engineering
review of facilities producing renewable
fuel due to the variability of production
facilities, the increase in the number of
categories of renewable fuels, and the
importance of ensuring that RINs are
generated in the correct category.
Without these engineering reviews, we
do not believe it would be possible to
implement the RFS2 program in a
manner that ensured the requirements
of EISA were being fulfilled.
Additionally, the engineering review
provides a check against fraudulent RIN
generation. In order to establish the
proper basis for RIN generation, we are
requiring that every renewable fuel
producer have the on-site engineering
review of their facility performed in
conjunction with his or her initial
registration for the new RFS program.
The engineering reviews must be
conducted by independent third parties
who can maintain impartiality and
objectivity in evaluating the facilities
and their processes. Additionally, the
on-site engineering review must be
conducted every three years thereafter
to verify that the fuel pathways
established in the initial registration are
still applicable. These requirements
apply unless the renewable fuel
producer updates its facility registration
information to qualify for a new RIN
category (i.e., D code), in which case the
review needs to be performed within 60
days of the registration update. Finally,
producers are required to submit a copy
of their independent engineering review
to EPA, for verification and enforcement
purposes.
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2. Foreign Renewable Fuel Producers
Under RFS1, foreign renewable fuel
producers of cellulosic biomass ethanol
and waste-derived ethanol may apply to
EPA to generate RINs for their own fuel.
For RFS2, we proposed that foreign
producers of renewable fuel meet the
same requirements as domestic
producers, including registering
information about their feedstocks,
facilities, and products, as well as
submitting an on-site independent
engineering review of their facilities at
the time of registration for the program
and every three years thereafter. These
requirements apply to all foreign
renewable fuel producers who plan to
export their products to the U.S. as part
of the RFS2 program, whether the
foreign producer generates RINs for
their fuel or an importer does.
Foreign producers, like domestic
producers, must also undergo an
independent engineering review of their
facilities, conducted by an independent
third party who is a licensed
professional engineer (P.E.), or foreign
equivalent who works in the chemical
engineering field. The independent
third party must provide to EPA
documentation of his or her
qualifications as part of the engineering
review, including proof of appropriate
P.E. license or foreign equivalent. The
third-party engineering review must be
conducted by both foreign producers
who plan to generate RINs and those
that don’t generate RINs but anticipate
their fuel will be exported to the United
States by an importer who will generate
the RINs.
3. Renewable Fuel Importers
We are requiring importers who
generate RINs for imported fuel that
they receive without RINs may only do
so under certain circumstances. If an
importer receives fuel without RINs, the
importer may only generate RINs for
that fuel if they can verify the fuel
pathway and that feedstocks use meet
the definition of renewable biomass. An
importer must rely on his supplier, a
foreign renewable fuel producer, to
provide documentation to support any
claims for their decision to generate
RINs. An importer may have an
agreement with a foreign renewable fuel
producer for the importer to generate
RINs if the foreign producer has not
done so already. However, the foreign
renewable fuel producer must be
registered with EPA and must have had
a third-party engineering review
conducted, as noted above, in order for
EPA to be able to verify that the
renewable biomass and GHG reduction
requirements of EISA are being fulfilled.
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Section II.D.2.b describes the RIN
generating restrictions and requirements
for importers under RFS2.
4. Process and Timing
We are making forms for expanded
registration for renewable fuel
producers and importers, as well as
forms for registration of other regulated
parties, available electronically with the
publication of this final rule. Paper
registration forms will only be accepted
in exceptional cases. Registration forms
must be submitted and accepted by the
EPA by July 1, 2010, or 60 days prior to
a producer producing or importer
importing any renewable fuel,
whichever dates come later. If a
producer changes its fuel pathway
(feedstock, production process, or fuel
type) to not listed in his registration
information on file with EPA but the
change will not incur a change of RIN
category for the fuel (i.e., a change in the
appropriate D code), the producer must
update his registration information
within seven (7) days of the change.
However, if the fuel producer changes
its fuel pathway in a manner that would
result in a change in its RIN category
(and thus a new D code), such an update
would need to be submitted at least 60
days prior to the change, followed by
submittal of a complete on-site
independent engineering review of the
producer’s facility also within 60 days
of the change. If EPA finds that these
deadlines and requirements have not
been met, or that a facility’s registered
profile, dictated by the various
parameters for product, process and
feedstock, does not reflect actual
products produced, processes
employed, or feedstocks used, then EPA
reserves the right to void, ab initio, any
affected RINs generated and may impose
significant penalties. For example a
newly registered (i.e. not grandfathered)
ethanol production facility claims in
their registration that they qualify to
generate RINs based upon the use of two
advanced engineering practices (1) corn
oil fractionation and (2) production of
wet DGS co-product that is, at a
minimum, 35% of its total DGS
produced annually. However, during an
audit of the producer’s records, it is
found that of all their DGS produced,
less than 15% was wet. In this example,
the producer has committed a violation
that results in the disqualification of
their eligibility to generate RINs; that is,
they no longer have an eligible pathway
that demonstrates qualification with the
20% GHG threshold requirement for
corn ethanol producers. As such any
and all RINs produced may be deemed
invalid and the producer may be subject
to Clean Air Act penalties.
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The required independent
engineering review as discussed above
for domestic and foreign renewable fuel
producers is an integral part of the
registration process. The agency
recognizes, through comments received,
that there are significant concerns
involving timing necessary and ability
to produce a completed engineering
review to satisfy registration
requirements. Since the publication of
the RFS2 NPRM, we have delivered
consistently a message stating that
advanced planning and preparation was
necessary from all parties, EPA and the
regulated community inclusive, for
successful implementation of this
program. In an effort to reduce demand
on engineering resources, we are
allowing grandfathered facilities an
additional six months to submit their
engineering review. This will direct the
focus of engineering review resources
on producers of advanced, cellulosic
and biomass based diesel. EPA fully
expects these producers of advanced
renewable fuels to meet the engineering
review requirement; however, if they are
having difficulties producing engineer’s
reports prior to April 1, we ask that they
contact us.
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D. Generation of RINs
Under RFS2, each RIN will continue
to be generated by the producer or
importer of the renewable fuel, as in the
RFS1 program. In order to determine the
number of RINs that must be generated
and assigned to a batch of renewable
fuel, the actual volume of the batch of
renewable fuel must be multiplied by
the appropriate Equivalence Value. The
producer or importer must also
determine the appropriate D code to
assign to the RIN to identify which of
the four standards the RIN can be used
to meet. This section describes these
two aspects of the generation of RINs.
Other aspects of the generation of RINs,
such as the definition of a batch, as well
as the assignment of RINs to batches,
will remain unchanged from the RFS1
requirements. We received several
comments regarding the method for
calculating temperature standardization
of biodiesel and address this issue in
Section III.G.
1. Equivalence Values
For RFS1, we interpreted CAA section
211(o) as allowing us to develop
Equivalence Values representing the
number of gallons that can be claimed
for compliance purposes for every
physical gallon of renewable fuel. We
described how the use of Equivalence
Values adjusted for renewable content
and based on energy content in
comparison to the energy content of
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ethanol was consistent with the sections
of EPAct that provided extra credit for
cellulosic and waste-derived renewable
fuels, and the direction that EPA
establish ‘‘appropriate’’ credit for
biodiesel and renewable fuel volumes in
excess of the mandated volumes. We
also noted that the use of Equivalence
Values based on energy content was an
appropriate measure of the extent to
which a renewable fuel would replace
or reduce the quantity of petroleum or
other fossil fuel present in a fuel
mixture. EPA stated that these
provisions indicated that Congress did
not intend to restrict EPA discretion in
implementing the program to utilizing a
straight volume measurement of gallons.
See 72 FR 23918–23920, and 71 FR
55570–55571. The result was an
Equivalence Value for ethanol of 1.0, for
butanol of 1.3, for biodiesel (mono alkyl
ester) of 1.5, and for non-ester
renewable diesel of 1.7.
In the NPRM we noted that EISA
made a number of changes to CAA
section 211(o) that impacted our
consideration of Equivalence Values in
the context of the RFS2 program. For
instance, EISA eliminated the 2.5-to-1
credit for cellulosic biomass ethanol and
waste-derived ethanol and replaced this
provision with large mandated volumes
of cellulosic biofuel and advanced
biofuels. EISA also expanded the
program to include four separate
categories of renewable fuel (cellulosic
biofuel, biomass-based diesel, advanced
biofuel, and total renewable fuel) and
included GHG thresholds in the
definitions of each category. Each of
these categories of renewable fuel has its
own volume requirement, and thus
there will exist a guaranteed market for
each. As a result of these new
requirements, we indicated that there
may no longer be a need for additional
incentives for certain fuels in the form
of Equivalence Values greater than 1.0.
In the NPRM we co-proposed and
took comment on two options for
Equivalence Values:
1. Equivalence Values would be based
on the energy content and renewable
content of each renewable fuel in
comparison to denatured ethanol,
consistent with the approach under
RFS1, with the addition that biomassbased diesel standard would be based
on energy content in comparison to
biodiesel.
2. All liquid renewable fuels would be
counted strictly on the basis of their
measured volumes, and the Equivalence
Values for all renewable fuels would be
1.0 (essentially, Equivalence Values
would no longer apply).
In response to the NPRM, some
stakeholders pointed to the
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14709
aforementioned changes brought about
by EISA as support for a straight volume
approach to Equivalence Values, and
argued that it had always been the
intent of Congress that the statutory
volume mandates be treated as straight
volumes. Stakeholders taking this
position were generally producers of
corn ethanol. However, a broad group of
other stakeholders including refiners,
biodiesel producers, a broad group of
advanced biofuel producers, fuel
distributor and States indicated that the
first option for an energy-based
approach to Equivalence Values was
both supported by the statute and
necessary to provide for equitable
treatment of advanced biofuels. They
noted that EISA did not change certain
of the statutory provisions EPA looked
to for support under RFS1 in
establishing Equivalence Values based
on relative volumetric energy content in
comparison to ethanol. For instance,
CAA 211(o) continues to direct EPA to
determine an ‘‘appropriate’’ credit for
biodiesel, and also directs EPA to
determine the ‘‘appropriate’’ amount of
credit for renewable fuel use in excess
of the required volumes. Had Congress
intended to change these provisions
they could have easily done so.
Moreover, some stakeholders argued
that the existence of four standards is
not a sufficient reason to eliminate the
use of energy-based Equivalence Values
for RFS2. The four categories are
defined in such a way that a variety of
different types of renewable fuel could
qualify for each category, such that no
single specific type of renewable fuel
will have a guaranteed market. For
example, the cellulosic biofuel
requirement could be met with both
cellulosic ethanol or cellulosic diesel.
As a result, the existence of four
standards under RFS2 does not obviate
the value of standardizing for energy
content, which provides a level playing
field under RFS1 for various types of
renewable fuels based on energy
content.
Some stakeholders who supported an
energy-based approach to Equivalence
Values also argued that a straight
volume approach would be likely to
create a disincentive for the
development of new renewable fuels
that have a higher energy content than
ethanol. For a given mass of feedstock,
the volume of renewable fuel that can be
produced is roughly inversely
proportional to its energy content. For
instance, one ton of biomass could be
gasified and converted to syngas, which
could then be catalytically reformed
into either 80 gallons of ethanol (and
another 14 gal of other alcohols) or 50
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gallons of diesel fuel (and naphtha).10 If
RINs were assigned on a straight volume
basis, the producer could maximize the
number of RINs he is able to generate
and sell by producing ethanol instead of
diesel. Thus, even if the market would
otherwise lean towards demanding
greater volumes of diesel, the greater
RIN value for producing ethanol may
favor their production instead.
However, if the energy-based
Equivalence Values were maintained,
the producer could assign 1.7 RINs to
each gallon of diesel made from biomass
in comparison to 1.0 RIN to each gallon
of ethanol from biomass, and the total
number of RINs generated would be
essentially the same for the diesel as it
would be for the ethanol. The use of
energy-based Equivalence Values could
thus provide a level playing field in
terms of the RFS program’s incentives to
produce different types of renewable
fuel from the available feedstocks. The
market would then be free to choose the
most appropriate renewable fuels
without any bias imposed by the RFS
regulations, and the costs imposed on
different types of renewable fuel
through the assignment of RINs would
be more evenly aligned with the ability
of those fuels to power vehicles and
engines, and displace fossil fuel-based
gasoline or diesel. Since the
technologies for producing more energydense fuels such as cellulosic diesel are
still in the early stages of development,
they may benefit from not having to
overcome the disincentive in the form of
the same Equivalence Value based on
straight volume.
Based on our interpretation of EISA as
allowing the use of energy-based
Equivalence Values, and because we
believe it provides a level playing field
for the development of different fuels
that can displace the use of fossil fuels,
and that this approach therefore furthers
the energy independence goals of EISA,
we are finalizing the energy-based
approach to Equivalence Values in
today’s action. We also note that a large
number of companies have already
made investments based on the
decisions made for RFS1, and using
energy-based Equivalence Values will
maintain consistency with RFS1 and
ease the transition into RFS2. Insofar as
renewable fuels with volumetric energy
contents higher than ethanol are used,
the actual volumes of renewable fuel
that are necessary to meet the EISA
volume mandates will be smaller than
those shown in Table I.A.1–1. The
10 Another example would be a fermentation
process in which one ton of cellulose could be used
to produce either 70 gallons of ethanol or 55 gallons
of butanol.
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impact on the physical volume will
depend on actual volumes of various
advanced biofuels produced in the
future. The main scenario modeled for
this final rule includes a forecast for
considerable volumes of relatively high
energy diesel fuel made from renewable
biomass, and still results in a physical
volume mandate of 30.5 billion gallons.
The energy-based approach results in
the advanced biofuel standard being
automatically met during the first few
years of the program. For instance, the
biomass-based diesel mandated volume
for 2010 is 0.65 billion gallons, which
will be treated as 0.975 billion gallons
(1.5 × 0.65) in the context of meeting the
advanced biofuel standard. Since the
mandated volume for advanced biofuel
in 2010 is 0.95 billion gallons, this
requirement is automatically met by
compliance with the biomass-based
diesel standard.
Although we are finalizing an energybased approach to Equivalence Values,
we believe that Congress intended the
biomass-based diesel volume mandate
to be treated as diesel volumes rather
than as ethanol-equivalent volumes.
Since all RINs are generated based on
energy equivalency to ethanol, to
accomplish this, we have modified the
formula for calculating the standard for
biomass-based diesel to compensate
such that one physical gallon of
biomass-based diesel will count as one
gallon for purposes of meeting the
biomass-based diesel standard, but will
be counted based on their Equivalence
Value for purposes of meeting the
advanced biofuel and total renewable
fuel standards. Since it is likely that the
statutory volume mandates were based
on projections for biodiesel, we have
chosen to use the Equivalence Value for
biodiesel, 1.5, in this calculation. See
Section II.E.1.a for further discussion.
Other diesel fuel made from renewable
biomass can also qualify as biomassbased diesel (e.g., renewable diesel,
cellulosic diesel). But since the
variation in energy content between
them is relatively small, variation in the
total physical volume of biomass-based
diesel will likewise be small.
In the NPRM we also proposed that
the energy content of denatured ethanol
be changed from the 77,550 Btu/gal
value used in the RFS1 program to
77,930 Btu/gal (lower heating value).
The revised value was intended to
provide a more accurate estimate of the
energy content of pure ethanol, 76,400
Btu/gal, rather than the rounded value
of 76,000 Btu/gal that was used under
RFS1. Except for the Renewable Fuels
Association who supported this change,
most stakeholders did not comment on
this proposal. However, based on new
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provisions in the Food, Conservation,
and Energy Act of 2008, we have since
determined that the denaturant content
of ethanol should be assumed to be 2%
rather than the 5% used in the RFS1
program. This additional change results
in a denatured ethanol energy content of
77,000 Btu/gal and a renewable content
of denatured ethanol of 97.2%.11 The
value of 77,000 Btu/gal will be used to
convert biogas and renewable electricity
into volumes of renewable fuel under
RFS2. This change also affects the
formula for calculating Equivalence
Values assigned to renewable fuels. The
new formula is shown below:
EV = (R/0.972) * (EC/77,000)
Where:
EV = Equivalence Value for the renewable
fuel, rounded to the nearest tenth.
R = Renewable content of the renewable fuel.
This is a measure of the portion of a
renewable fuel that came from a
renewable source, expressed as a
percent, on an energy basis.
EC = Energy content of the renewable fuel,
in Btu per gallon (lower heating value).
Under this new formula, Equivalence
Values assigned to specific types of
renewable fuel under RFS1 will
continue unchanged under RFS2.
However, non-ester renewable diesel
will be required to have a lower energy
content of at least 123,500 Btu/gal in
order to qualify for an Equivalence
Value of 1.7. A non-ester renewable
diesel with a lower energy content
would be required to apply for a
different Equivalent Value according to
the provisions in § 80.1415.
2. Fuel Pathways and Assignment of D
Codes
As described in Section II.A, RINs
under RFS2 would in general continue
to have the same number of digits and
code definitions as under RFS1. The one
change will be that, while the D code
will continue to identify the standard to
which the RIN can be applied, it will be
modified to have four values
corresponding to the four different
renewable fuel categories defined in
EISA. These four D code values and the
corresponding categories are shown in
Table II.A–1.
In order to generate RINs for
renewable fuel that meets the various
eligibility requirements (see Section
II.B), a producer or importer must know
which D code to assign to those RINs.
Following the approach we described in
the NPRM, a producer or importer will
determine the appropriate D code using
a lookup table in the regulations. The
11 Value is lower than 98% because it is based on
energy content of denaturant versus ethanol, not
relative volume.
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lookup table lists various combinations
of fuel type, production process, and
feedstock, and the producer or importer
chooses the appropriate combination
representing the fuel he is producing
and for which he is generating RINs.
Parties generating RINs are required to
use the D code specified in the lookup
table and are not permitted to use a D
code representing a broader renewable
fuel category. For example, a party
whose fuel qualified as biomass-based
diesel could not choose to categorize
that fuel as advanced biofuel or general
renewable fuel for purposes of RIN
generation.12
This section describes our approach
to the assignment of D codes to RINs for
domestic producers, foreign producers,
and importers of renewable fuel.
Subsequent sections address the
generation of RINs in special
circumstances, such as when a
production facility has multiple
applicable combinations of feedstock,
fuel type, and production process
within a calendar year, production
facilities that co-process renewable
biomass and fossil fuels, and production
facilities for which the lookup table
does not provide an applicable D code.
a. Producers
For both domestic and foreign
producers of renewable fuel, the lookup
table identifies individual fuel
‘‘pathways’’ comprised of unique
combinations of the type of renewable
fuel being produced, the feedstock used
to produce the renewable fuel, and a
description of the production process.
Each pathway is assigned to one of the
D codes on the basis of the revised
renewable fuel definitions provided in
EISA and our assessment of the GHG
lifecycle performance for that pathway.
A description of the lifecycle
assessment of each fuel pathway and the
process we used for determining the
associated D code can be found in
Section V.
Note that the generation of RINs also
requires as a prerequisite that the
feedstocks used to make the renewable
fuel meet the definition of ‘‘renewable
biomass’’ as described in Section II.B.4,
including applicable land use
restrictions. If a producer is not able to
demonstrate that his feedstocks meet the
definition of renewable biomass, RINs
cannot be generated. However, as noted
in Section II.B.4.b.1, feedstocks
typically include incidental
12 However,
a biomass-based diesel RIN can be
used to satisfy Renewable Volume Obligations
(RVO) for biomass-based diesel, advanced biofuel,
and total renewable fuel. See Section II.G.3 for
further discussion of the use of RINs for compliance
purposes.
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contaminants. These contaminants may
have been intentionally added to
promote cultivation (e.g., pesticides,
herbicides, fertilizer) or transport (e.g.,
nylon baling rope). In addition, there
may be some incidental contamination
of a particular load of feedstocks with
co-product during feedstock production,
or with other agricultural materials
during shipping. For example, there
may be incidental corn kernels
remaining on some corn cobs used to
produce cellulosic biofuel, or some
sorghum kernels left in a shipping
container that are introduced into a load
of corn kernels being shipped to a
biofuel production facility. The final
regulations clarify that in assigning D
codes for renewable fuel, producers and
importers should disregard the presence
of incidental contaminants in their
feedstocks if the incidental
contaminants are related to customary
feedstock production and transport, and
are impractical to remove and occur in
de minimus levels.
Through our assessment of the
lifecycle GHG impacts of different
pathways and the application of the
EISA definitions for each of the four
categories of renewable fuel, including
the GHG thresholds, we have
determined that all four categories will
have pathways that could be used to
meet the Act’s volume requirements.
For example, ethanol made from corn
stover or switchgrass in an enzymatic
hydrolysis process will count as
cellulosic biofuel. Biodiesel made from
waste grease or soybean oil can count as
biomass-based diesel. Ethanol made
from sugarcane sugar will count as
advanced biofuel. Finally, a variety of
pathways will count as renewable fuel
under the RFS2 program. The complete
list of pathways that are valid under our
final RFS2 program is discussed in
Section V.C and are provided in the
regulations at § 80.1426(f).
Producers must choose the
appropriate D code from the lookup
table in the regulations based on the fuel
pathway that describes their facility.
The fuel pathway must be specified by
the producer in the registration process
as described in Section II.C. If there are
changes to a producer’s facility or
feedstock such that their fuel would
require a D code that was different from
any D code(s) which their existing
registration information already
allowed, the producer is required to
revise its registration information with
EPA 30 days prior to changing the
applicable D code it uses to generate
RINs. Situations in which multiple fuel
pathways could apply to a single facility
are addressed in Section II.D.3 below.
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For producers for whom none of the
defined fuel pathways in the lookup
table apply, a producer can still generate
RINs if he meets the criteria for
grandfathered or deemed compliant
status as described in Section II.B.3 and
his fuel meets the definition of
renewable fuel as described in Section
II.B.1. In this case he would use a D
code of 6 for those RINs generated under
the grandfathering or deemed compliant
provisions.
A diesel fuel product produced from
cellulosic feedstocks that meets the 60%
GHG threshold can qualify as either
cellulosic biofuel or biomass-based
diesel. In the NPRM, we proposed that
the producer of such ‘‘cellulosic diesel’’
be required to choose whether to
categorize his product as either
cellulosic biofuel or biomass-based
diesel. However, we requested comment
on an alternative approach in which an
additional D code would be defined to
represent cellulosic diesel allowing the
cellulosic diesel RIN to be sold into
either market. As described more fully
in Section II.A above, we are finalizing
this alternative approach in today’s final
rule. Producers or importers of a fuel
that qualifies as both biomass-based
diesel and cellulosic biofuel must use a
D code of 7 in the RINs they generate,
and will thus have the flexibility of
marketing such RINs to parties seeking
either cellulosic biofuel or biomassbased diesel RINs, depending on market
demand. Obligated parties can apply
RINs with a D code of 7 to either their
cellulosic biofuel or biomass-based
diesel RVOs, but not both.
In addition to the above comments,
we received comments requesting that
the use of biogas as process heat in the
production of ethanol, should not be
limited to use at the site of renewable
fuel production. Specifically,
commenters point out that the
introduction of gas produced from
landfills or animal wastes to fungible
pipelines is the only practical manner
for most renewable fuel facilities to
acquire and use landfill gas, since very
few are located adjacent to landfills, or
have dedicated pipelines from landfill
gas operations to their facilities.13 The
commenters suggested that ethanol
plants causing landfill gas to be
introduced into a fungible gas pipeline
be allowed to claim those volumes. The
alternative would be to allow landfill
13 This suggestion was also made by several
companies with respect to the RFS1 definition of
cellulosic biomass ethanol, which allowed cornbased ethanol to be deemed cellulosic if 90% of the
fossil fuel used at the ethanol facility to make
ethanol was displaced by fuel derived from animal
or other waste materials, including landfill gas.
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gas that is only used onsite to be
counted in establishing the pathway.
We believe that the suggested
approach has merit. We agree that it
does not make any difference in terms
of the beneficial environmental
attributes associated with the use of
landfill gas whether the displacement of
fossil fuel occurs in a fungible natural
gas pipeline, or in a specific facility that
draws gas volume from that pipeline. In
fact, a similar approach is widely used
with respect to electricity generated by
renewable biomass that is placed into a
commercial electricity grid. A party
buying the renewable power is credited
with doing so in state renewable
portfolio programs even though the
power from these sources is placed in
the fungible grid and the electrons
produced by a renewable source may
never actually be used by the party
purchasing it. In essence these programs
assume that the renewable power
purchased and introduced into the grid
is in fact used by the purchaser, even
though all parties acknowledge that use
of the actual renewable-derived
electrons can never be verified once
placed in the fungible grid. We believe
that this approach will ultimately
further the GHG reduction and energy
security goals of RFS2.
Producers may therefore take into
account such displacement provided
that they demonstrate that a verifiable
contractual pathway exists and that
such pathway ensures that (1) a specific
volume of landfill gas was placed into
a commercial pipeline that ultimately
serves the transportation fueling facility
and (2) that the drawn into this facility
from that pipeline matches the volume
of landfill gas placed into the pipeline
system. Thus facilities using such a fuel
pathway may then use an appropriate D
code for generation of RINs.
This approach also applies to biogas
and electricity made from renewable
fuels and which are used for
transportation. Producers of such fuel
will be able to generate RINs, provided
that a contractual pathway exists that
provides evidence that specific
quantities of the renewable fuel (either
biogas or electricity) was purchased and
contracted to be delivered to a specific
transportation fueling facility.14 We
specify that the pipeline (or
transmission line) system must
ultimately serve the subject facility. For
electricity that is produced by the cofiring of fossil fuels with renewable
biomass derived fuels, we are requiring
that the resulting electricity is pro-rated
to represent only that amount of
14 Note that biogas used for transportation fuel
includes propane made from renewable biomass.
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electricity generated by the qualifying
biogas, for the purpose of computing
RINs.
We are also providing for those
situations in which biogas or renewable
electricity is provided directly to the
transportation facility, rather than using
a commercial distribution system such
as pipelines or transmission lines. For
both cases—dedicated use and
commercial distribution—producers
must provide contractual evidence of
the production and sale of such fuel,
and there are also reporting and
recordkeeping requirements to be
followed as well.
Presently, there is no D code for
electricity that is produced from
renewable biomass. The petition process
for assigning such codes in today’s rule
can be used for such purpose.
b. Importers
For imported renewable fuel under
RFS2, we are anticipating the importer
to be the primary party responsible for
generating RINs. However, the foreign
producer of renewable fuel can instead
elect to generate RINs themselves under
certain conditions as described more
fully in Section II.D.2.c below. This
approach is consistent with the
approach under RFS1.
Under RFS1, importers who import
more than 10,000 gallons in a calendar
year were required to generate RINs for
all imported renewable fuel based on its
type, except for cases in which the
foreign producer generated RINs for
cellulosic biomass ethanol or wastederived ethanol. Due to the new
definitions of renewable fuel and
renewable biomass in EISA, importers
can no longer generate RINs under RFS2
on the basis of fuel type alone. Instead,
they must be able to demonstrate that
the renewable biomass definition has
been met for the renewable fuel they
intend to import and for which they will
generate RINs. They must also have
sufficient information about the
feedstock and process used to make the
renewable fuel to allow them to identify
the appropriate D code from the lookup
table for the RINs they generate.
Therefore, in order to generate RINs, the
importer will be required to obtain this
information from a foreign producer.
RINs can only be generated if a
demonstration is made that the
feedstocks used to produce the
renewable fuel meet the definition of
renewable biomass.
In summary, under today’s final rule,
importers can import any renewable
fuel, but can only generate RINs to
represent the imported renewable fuel
under the two conditions described
below. If these conditions do not apply,
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the importer can import biofuel but
cannot generate RINs to represent that
biofuel.
1. The imported renewable fuel is not
accompanied by RINs generated by the
registered foreign producer
2. The importer obtains from the
foreign producer:
—Documentation demonstrating that
the renewable biomass definition has
been met for the volume of renewable
fuel being imported.
—Documentation about the feedstock
and production process used to
produce the renewable fuel to allow
the importer to determine the
appropriate D-code designation in the
RINs generated.
We are also finalizing additional
requirements for foreign producers who
either generate RINs or provide
documentation to an importer sufficient
to allow the importer to generate RINs.
As described more fully in the next
section, these additional requirements
include restrictions on mixing of
biofuels in the distribution system as it
travels from the foreign producer to the
importer.
Finally, EPA is assessing whether
additional requirements on foreigngenerated fuel may be necessary for
situations in which importers are
generating RINs for the fuel. Additional
requirements may be necessary to
ensure that the importers have sufficient
information to properly generate the
RINs and that EPA has sufficient
information to determine whether those
RINs have been legitimately generated.
EPA will pursue an amendment to the
final RFS2 regulations if we find that
additional requirements are appropriate
and necessary.
c. Additional Provisions for Foreign
Producers
In general, we are requiring foreign
producers of renewable fuel to meet the
same requirements as domestic
producers with respect to registration,
recordkeeping and reporting, attest
engagements, and the transfer of RINs
they generate with the batches of
renewable fuel that those RINs
represent. However, we are also placing
additional requirements on foreign
producers to ensure that RINs entering
the U.S. are valid and that the
regulations can be enforced at foreign
facilities. These additional requirements
are designed to accommodate the more
limited access that EPA enforcement
personnel have to foreign entities that
are regulated parties under RFS2, and
also the fact that foreign-produced
biofuel intended for export to the U.S.
is often mixed with biofuel that will not
be exported to the U.S.
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Under RFS1, foreign producers had
the option of generating RINs for the
renewable fuel that they export to the
U.S. if they wanted to designate their
fuel as cellulosic biomass ethanol or
waste-derived ethanol, and thereby take
advantage of the additional 1.5 credit
value afforded by the 2.5 Equivalence
Value for such products. In order to
ensure that EPA had the ability to
enforce the regulations relating to the
generation of RINs from such foreign
ethanol producers, the RFS1 regulations
specified additional requirements for
them, including posting a bond,
admitting EPA enforcement personnel,
and submitting to third-party
engineering reviews of their production
process. For RFS2, we are maintaining
these additional requirements for
foreign producers because EPA
enforcement personnel have the same
limitations under RFS2 with regard to
access to foreign entities that are
regulated parties as they did under
RFS1.
EISA also creates other unique
challenges in the implementation and
enforcement of the renewable fuel
standards for foreign-produced
renewable fuel imported into the U.S.
Unlike our other fuels programs, EPA
cannot determine whether a particular
shipment of renewable fuel is eligible to
generate RINs under the new program
by testing the fuel itself. Instead,
information regarding the feedstock that
was used to produce renewable fuel and
the process by which it was produced
is vital to determining the proper
renewable fuel category and RIN type
for the imported fuel under the RFS2
program. Thus, whether foreign
producers or importers generate RINs,
this information must be collected and
maintained by the RIN generator.
If a foreign producer generates RINs
for renewable fuel that it produces and
exports to the U.S., we are requiring that
ethanol must be dewatered and
denatured by the foreign producer prior
to leaving the production facility and
prior to the generation of RINs. This is
consistent with our definition of
renewable fuel in which ethanol that is
valid under RFS2 must be denatured.
Moreover, the foreign producer is
required to strictly segregate a batch of
renewable fuel and its associated RINs
from all other volumes of renewable fuel
as it travels from the foreign producer to
the importer. The strict segregation
ensures that RINs entering the U.S.
appropriately represent the renewable
fuel imported into the U.S. both in
terms of renewable fuel type and
volume.
Several commenters requested that in
general the importer be the RIN
generator for imported renewable fuel.
Since most imported ethanol is
currently made in Brazil and is not
denatured by the foreign producer, any
RINs generated must be generated by the
importer. However, to accomplish this,
the importer must obtain the
appropriate information from a foreign
producer regarding compliance with the
renewable biomass definition and a
description of the associated pathway
for the renewable fuel. Under these
circumstances, the foreign producer
must ensure that the information is
transferred along with the renewable
fuel through the distribution system
until it reaches the importer. The
foreign producer’s volume of renewable
fuel need not be strictly segregated from
other volumes in this case, so long as a
volume of chemically indistinguishable
renewable fuel is tracked through the
distribution system from the foreign
producer to the importer, and the
information needed by the importer to
generate RINs follows this same path
through the distribution system. Strict
segregation of the volume is not
necessary in this case, and the importer
will determine appropriate number of
RINs for the specific volume and type of
renewable fuel that he imports.
Finally, if a foreign producer chooses
not to participate in the RFS2 program
and thus neither generates RINs nor
provides information to the importer so
that the importer can generate RINs, the
foreign producer can still export biofuel
to the U.S. However, under these
circumstances the biofuel would not be
renewable fuel under RFS2, no RINs
could be generated by any party, and
thus the foreign producer would not be
subject to any of the registration,
14713
recordkeeping, reporting, or attest
engagement requirements.
3. Facilities With Multiple Applicable
Pathways
If a given facility’s operations can be
fully represented by a single pathway,
then a single D code taken from the
lookup table will be applicable to all
RINs generated for fuel produced at that
facility. However, we recognize that this
will not always be the case. Some
facilities use multiple feedstocks at the
same time, or switch between different
feedstocks over the course of a year. A
facility may be modified to produce the
same fuel but with a different process,
or may be modified to produce a
different type of fuel. Any of these
situations could result in multiple
pathways being applicable to a facility,
and thus there may be more than one
applicable D code for various RINs
generated at the facility.
If more than one pathway applies to
a facility within a compliance period,
no special steps will need to be taken
if the D code is the same for all the
applicable pathways. In this case, all
RINs generated at the facility will have
the same D code regardless. Such a
producer with multiple applicable
pathways must still describe its
feedstock(s), fuel type(s), and
production process(es) in its initial
registration and annual report to the
Agency so that we can verify that the D
code used was appropriate.
However, if more than one pathway
applies to a facility within a compliance
period and these pathways have been
assigned different D codes, then the
producer must determine which D
codes to use when generating RINs.
There are a number of different ways
that this could occur. For instance, a
producer could change feedstocks,
production processes, or the type of fuel
he produces in the middle of a
compliance period. Or, he could use
more than one feedstock or produce
more than one fuel type simultaneously.
The approach we are finalizing for
designating D codes for RINs in these
cases follows the approach described in
the NPRM and is summarized in Table
II.D.3–1.
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TABLE II.D.3–1—APPROACH TO ASSIGNING MULTIPLE D CODES FOR MULTIPLE APPLICABLE PATHWAYS
Case/Description
Proposed approach
1. The pathway applicable to a facility changes on a specific date, such
that one single pathway applies before the date and another single
pathway applies on and after the date.
2. One facility produces two or more different types of renewable fuel
at the same time.
The applicable D code used in generating RINs must change on the
date that the fuel produced changes pathways.
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The volumes of the different types of renewable fuel should be measured separately, with different D codes applied to the separate volumes.
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TABLE II.D.3–1—APPROACH TO ASSIGNING MULTIPLE D CODES FOR MULTIPLE APPLICABLE PATHWAYS—Continued
Proposed approach
3. One facility uses two or more different feedstocks at the same time
to produce a single type of renewable fuel.
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Case/Description
For any given batch of renewable fuel, the producer should assign the
applicable D codes using a ratio (explained below) defined by the
amount of each type of feedstock used.
Commenters were generally
supportive of this approach to multiple
applicable pathways, and as a result we
are finalizing it with few modifications
from the proposal. Further discussion of
the comments we received can be found
in Section 3.5.4 of the S&A document.
Following our proposal, cases listed
in Table II.D.3–1 will be treated as
hierarchical, with Case 2 only being
used to address a facility’s
circumstances if Case 1 is not
applicable, and Case 3 only being used
to address a facility’s circumstances if
Case 2 is not applicable. This approach
covers all likely cases in which multiple
applicable pathways may apply to a
renewable fuel producer. Some
examples of how Case 2 or 3 would
apply are provided in the NPRM.
A facility where two or more different
types of feedstock are used to produce
a single fuel (such as Case 3 in Table
II.D.3–1) will be required to generate
two or more separate batch-RINs 15 for a
single volume of renewable fuel, and
these separate batch-RINs will have
different D codes. The D codes will be
chosen on the basis of the different
pathways as defined in the lookup table
in § 80.1426(f). The number of gallonRINs that will be included in each of the
batch-RINs will depend on the relative
amount of the different types of
feedstocks used by the facility. In the
NPRM, we proposed to use the relative
energy content of the feedstocks to
determine how many gallon-RINs
should be assigned to each D code.
Commenters generally did not address
this aspect of our proposal, and we are
finalizing it in today’s action. Thus, the
useable energy content of each feedstock
must be used to divide the total number
of gallon-RINs generated for a batch of
renewable fuel into two or more groups,
each corresponding to a different D
code. Several separate batch-RINs can
then be generated and assigned to the
single volume of renewable fuel. The
applicable calculations are given in the
regulations at § 80.1426(f)(3).
We proposed several elements of the
calculation of the useable energy
content of the feedstocks, including the
following:
15 Batch-RINs and gallon-RINs are defined in the
regulations at 40 CFR 80.1401.
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1. Only that fraction of a feedstock
which is expected to be converted into
renewable fuel by the facility can be
counted in the calculation, taking into
account facility conversion efficiency.
2. The producer of the renewable fuel
is required to designate this fraction
once each year for the feedstocks
processed by his facility during that
year, and to include this information as
part of his reporting requirements.
3. Each producer is required to
designate the energy content (in Btu/lb)
once each year of the portion of each of
his feedstocks which is converted into
fuel. The producer may determine these
values for his own feedstocks, or may
use default values provided in the
regulations at § 80.1426(f)(7).
4. Each producer is required to
determine the total mass of each type of
feedstock used by the facility on at least
a daily basis.
Based on the paucity of comments we
received on this issue, we are finalizing
the provisions regarding the calculation
of useable energy content of the
feedstocks as it was proposed in the
NPRM. As described in Section II.J,
producers of renewable fuel will be
required to submit information in their
reports on the feedstocks they used,
their production processes, and the type
of fuel(s) they produced during the
compliance period. This will apply to
both domestic producers and foreign
producers who export any renewable
fuel to the U.S. We will use this
information to verify that the D codes
used in generating RINs were
appropriate.
4. Facilities That Co-Process Renewable
Biomass and Fossil Fuels
We expect situations to arise in which
a producer uses a renewable feedstock
simultaneously with a fossil fuel
feedstock, producing a single fuel that is
only partially renewable. For instance,
biomass might be co-fired with coal in
a coal-to-liquids (CTL) process that uses
Fischer-Tropsch chemistry to make
diesel fuel, biomass and waste plastics
might be fed simultaneously into a
catalytic or gasification process to make
diesel fuel, or vegetable oils could be
fed to a hydrotreater along with
petroleum to produce a diesel fuel. In
these cases, the diesel fuel will be only
partially renewable. RINs can be
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generated in such cases, but must be
done in such a way that the number of
gallon-RINs corresponds only to the
renewable portion of the fuel.
Under RFS1, we created a provision
to address the co-processing of
‘‘renewable crudes’’ along with
petroleum feedstocks to produce a
gasoline or diesel fuel that is partially
renewable. See 40 CFR 80.1126(d)(6).
However, this provision would not
apply in cases where either the
renewable feedstock or the fossil fuel
feedstock is a gas (e.g., biogas, natural
gas) or a solid (e.g., biomass, coal).
Therefore, we are eliminating the RFS1
provision applicable only to liquid
feedstocks and replacing it with a more
comprehensive approach that will apply
to liquid, solid, or gaseous feedstocks
and any type of conversion process. In
this final approach, producers are
required to use the relative energy
content of their renewable and nonrenewable feedstocks to determine the
renewable fraction of the fuel that they
produce. This fraction in turn is used to
determine the number of gallon-RINs
that should be generated for each batch.
Commenters said little about our
proposed methodology to use the
relative energy content of the
feedstocks, and we are therefore
finalizing it largely as proposed.
We also requested comment on
allowing renewable fuel producers to
use an accepted test method to directly
measure the fraction of the fuel that is
derived from biomass rather than a
fossil fuel feedstock. For instance,
ASTM D–6866 is a radiocarbon dating
test method that can be used to
determine the renewable content of
transportation fuel. The use of such a
test method can be used in lieu of the
calculation of the renewable portion of
the fuel based on the relative energy
content of the renewable biomass and
fossil feedstocks. Commenters generally
supported the option of using a
radiocarbon dating approach. As a
result, we believe it would be
appropriate and are finalizing a
provision to allow parties that coprocess renewable biomass and fossil
fuels to choose between using the
relative energy in the feedstocks or
ASTM D–6866 to determine the number
of gallon-RINs that should be generated.
Regardless of the approach chosen, the
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producer will still need to separately
verify that the renewable feedstocks
meet the definition of renewable
biomass.
If a producer chose to use the energy
content of the feedstocks, the
calculation would be similar to the
treatment of renewable fuels with
multiple D codes as described in
Section II.D.3 above. As shown in the
regulations at § 80.1426(f)(3), the
producer would determine the
renewable fuel volume that would be
assigned RINs based on the amount of
energy in the renewable feedstock
relative to the amount of energy in the
fossil feedstock. Only one batch-RIN
would be generated for a single volume
of fuel produced from both a renewable
feedstock and a fossil feedstock, and
this one batch-RIN must be based on the
contribution that the renewable
feedstock makes to the total volume of
fuel. The calculation of the relative
energy contents includes factors that
take into account the conversion
efficiency of the plant, and as a result
potentially different reaction rates and
byproduct formation for the various
feedstocks will be accounted for. The
relative energy content of the feedstocks
is used to adjust the basic calculation of
the number of gallon-RINs downward
from that calculated on the basis of
batch fuel volume and the applicable
Equivalence Value. The D code that
must be assigned to the RINs is drawn
from the lookup table in the regulations
as if the feedstock was entirely
renewable biomass. Thus, for instance,
a coal-to-liquids plant that co-processes
some cellulosic biomass to make diesel
fuel would be treated as a plant that
produces only cellulosic diesel for
purposes of identifying the appropriate
D code for the fraction of biofuel that
qualifies as renewable fuel under EISA.
If a producer chose to use D–6866, he
would be required to either apply this
test to every batch, or alternatively to
take samples of every batch of fuel he
produced over the course of one month
and combine them into a single
composite sample. The D–6866 test
would then be applied to the composite
sample, and the resulting renewable
fraction would be applied to all batches
of fuel produced in the next month to
determine the appropriate number of
RINs that must be generated. For the
first month, the producer can estimate
the non-fossil fraction, and then make a
correction as needed in the second
month. The producer would be required
to recalculate the renewable fraction
every subsequent month. See the
regulations at § 80.1426(f)(9).
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5. Facilities That Process Municipal
Solid Waste
As described in Section II.B.4.d, only
the separated yard and food waste of
municipal solid waste (MSW) are
considered to be renewable biomass and
may be used to produce renewable fuels
under the RFS2 program. While
renewable fuel producers may produce
fuel from all organic components of
MSW, they may generate RINs for only
that portion of MSW that qualifies as
renewable biomass. We are providing
two methods for determining the
appropriate number of RINs to generate
for each batch of fuel, depending on
whether the feedstock is pure food and
yard waste, or separated municipal solid
waste, as described in Section II.B.4.d.
While not all biogenic material in the
separated MSW is cellulosic, the vast
majority of it is likely to be in most
situations. Specifically, separated
municipal solid waste may contain
some non-biogenic materials such as
plastics that were unable to be recycled
due to market conditions. We are
requiring producers of renewable fuel
made from separated municipal solid
waste to use the radiocarbon dating
method D–6866 to calculate the
biogenic fraction, presumed to be
composed of cellulosic materials.
Therefore, unless a renewable fuel
producer is using MSW streams that are
clearly not cellulosic, we anticipate that
a D code of either 3 or 7 will be
appropriate for such RINs. See the
regulations at § 80.1426(f).
6. RINless Biofuel
Under the RFS1 program, all
renewable fuel made from renewable
feedstocks and used as motor vehicle
fuel in the U.S. was assigned RINs.
Therefore, aside from the very small
amounts of biofuel used in nonroad
applications or as heating oil, all
renewable fuel produced or imported
counted towards the mandated volume
goals of the RFS program. Although
conventional diesel fuel was not subject
to the standards under RFS1, all other
motor vehicle fuel fell into two groups:
fuel subject to the standards, and fuel
for which RINs were generated and was
used to meet those standards.
Under RFS2, our approach to
compliance with the renewable biomass
provision will allow the possibility for
some biofuel to be produced without
RINs. As described in Section II.B.4
above, we are modifying our approach
to compliance with the renewable
biomass provision so that renewable
fuel producers using feedstocks from
domestic planted crops and crop
residue will be presumed to meet the
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14715
renewable biomass provision. Under
this ‘‘aggregate compliance’’ approach,
these producers will be generating RINs
for all their renewable fuel. However,
producers who use foreign-grown crops
or crop residue or other feedstocks such
as planted trees or forestry residues will
not be able to take advantage of this
aggregate compliance approach. Instead,
they will be required to demonstrate
that their feedstocks meet the renewable
biomass definition, including the
associated land use restrictions, before
they will be permitted to generate RINs.
Absent such a demonstration, these
producers can still produce biofuel but
will not generate RINs. In addition, fuel
producers whose fuel does not qualify
as renewable fuel under this program
because it does not meet the 20% GHG
threshold (and is not grandfathered) can
still produce biofuel but will not be
allowed to generate RINs.
Transportation fuel consumed in the
U.S. will therefore be comprised of three
groups: fuel subject to the standards
(gasoline and diesel), fuel for which
RINs are generated and will be used to
meet those standards, and RINless
biofuel. RINless biofuel will not be
covered under any aspect of the RFS2
program, despite the fact that in many
cases it will meet the EISA definition of
transportation fuel upon blending with
gasoline or diesel.
In their comments in response to the
NPRM, several refiners suggested that
RINless biofuel should be treated as an
obligated volume similar to gasoline and
diesel, and thus be subject to the
standards. Doing so would ensure that
all transportation fuels are covered
under the RFS2 program, consistent
with RFS1. Such an approach would
also provide renewable fuel producers
with an incentive to demonstrate that
their feedstocks meet the renewable
biomass definition and thus generate
RINs for all the biofuel that they
produce. There could be less potential
for market manipulation on the part of
biofuel producers who might be
considering producing RINless biofuel
as a means for increasing demand for
renewable fuel and RINs.
Nevertheless, we do not believe that
it would be appropriate at this time to
finalize a requirement that RINless
biofuel be considered an obligated fuel
subject to the standards. We did not
propose such an approach in the NPRM,
and as a result many renewable fuel
producers who could be affected did not
have an opportunity to consider and
comment on it. Moreover, the volume of
RINless biofuel is likely to be small
compared to the volume of renewable
fuel with RINs since RINs have value
and producers currently have an
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
incentive to generate them. However, if
in the future RIN values should fall—for
instance, if crude oil prices rise high
enough and the market drives up
demand for biofuels—the incentive to
demonstrate compliance with the
renewable biomass definition may
decrease and there may be an increase
in the volume of RINless biofuel. Under
such circumstances it may be
appropriate to reconsider whether
RINless biofuel should be designated as
an obligated volume subject to the
standards.
E. Applicable Standards
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The renewable fuel standards are
expressed as a volume percentage, and
are used by each refiner, blender or
importer to determine their renewable
fuel volume obligations. The applicable
percentages are set so that if each
regulated party meets the percentages,
then the amount of renewable fuel,
cellulosic biofuel, biomass-based diesel,
and advanced biofuel used will meet the
volumes specified in Table I.A.1–1.16
The formulas finalized today for use
in deriving annual renewable fuel
standards are based in part on an
estimate of combined gasoline and
diesel volumes, for both highway and
nonroad uses, for the year in which the
standards will apply. The standards will
apply to refiners, blenders, and
importers of these fuels. As described
more fully in Section II.F.3, other
producers of transportation fuel, such as
producers of natural gas, propane, and
electricity from fossil fuels, are not
subject to the standards. Since the
standards apply to refiners, blenders
and importers of gasoline and diesel,
these are also the transportation fuels
that are used to determine the annual
volume obligations of an individual
refiner, blender, or importer.
The projected volumes of gasoline
and diesel used to calculate the
standards will continue to be provided
by EIA’s Short-Term Energy Outlook
(STEO). The standards applicable to a
given calendar year will be published by
November 30 of the previous year.
Gasoline and diesel volumes will
continue to be adjusted to account for
the required renewable fuel volumes. In
addition, gasoline and diesel volumes
produced by small refineries and small
refiners will be exempt through 2010,
16 Actual volumes can vary from the amounts
required in the statute. For instance, lower volumes
may result if the statutorily required volumes are
adjusted downward according to the waiver
provisions in CAA 211(o)(7)(D). Also, higher or
lower volumes may result depending on the actual
consumption of gasoline and diesel in comparison
to the projected volumes used to set the standards.
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14:03 Mar 25, 2010
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and that year’s standard is adjusted
accordingly, as discussed below.
As discussed in the proposal, four
separate standards are required under
the RFS2 program, corresponding to the
four separate volume requirements
shown in Table I.A.1–1. The specific
formulas we use to calculate the
renewable fuel standards are described
below in Section II.E.1.
In order for an obligated party to
demonstrate compliance, the percentage
standards are converted into the volume
of renewable fuel each obligated party is
required to satisfy. This volume of
renewable fuel is the volume for which
the obligated party is responsible under
the RFS program, and continues to be
referred to as its Renewable Volume
Obligation (RVO). Since there are four
separate standards under the RFS2
program, there are likewise four
separate RVOs applicable to each
obligated party. Each standard applies
to the sum of all gasoline and diesel
produced or imported. Determination of
RVOs is discussed in Section II.G.2.
1. Calculation of Standards
a. How Are the Standards Calculated?
The four separate renewable fuel
standards are based primarily on (1) the
49-state 17 gasoline and diesel
consumption volumes projected by EIA,
and (2) the total volume of renewable
fuels required by EISA for the coming
year. Table I.A.2–1 shows the required
overall volumes of four types of
renewable fuel specified in EISA. Each
renewable fuel standard is expressed as
a volume percentage of combined
gasoline and diesel sold or introduced
into commerce in the U.S., and is used
by each obligated party to determine its
renewable volume obligation.
Today we are finalizing an approach
to setting standards that is based in part
on the sum of all gasoline and diesel
produced or imported in the 48
contiguous states and Hawaii. An
approach we are not adopting but which
we discussed in the proposal would
have split the standards between those
that would be specific to gasoline and
those that would be specific to diesel.
Though this approach to setting
standards would more readily align the
RFS obligations with the relative
amounts of gasoline and diesel
produced or imported by each obligated
party, we are not adopting this approach
because it relies on projections of the
relative amounts of gasoline-displacing
and diesel-displacing renewable fuels.
These projections would need to be
updated every year, and as stated in the
17 Hawaii opted-in to the original RFS program;
that opt-in is carried forward to this program.
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Fmt 4701
Sfmt 4700
proposal, we believe that such an
approach would unnecessarily
complicate the program.
While the required amount of total
renewable fuel for a given year is
provided by EISA, the Act requires EPA
to base the standards on an EIA estimate
of the amount of gasoline and diesel that
will be sold or introduced into
commerce for that year. As discussed in
the proposal, EIA’s STEO will continue
to be the source for projected gasoline,
and now diesel, consumption estimates.
In order to achieve the volumes of
renewable fuels specified in EISA, the
gasoline and diesel volumes used to
determine the standard must be the nonrenewable portion of the gasoline and
diesel pools. Because the STEO volumes
include renewable fuel use, we must
subtract the total renewable fuel volume
from the total gasoline and diesel
volume to get total non-renewable
gasoline and diesel volumes. The Act
also requires EPA to use EIA estimates
of renewable fuel volumes; the best
estimation of the coming year’s
renewable fuel consumption is found in
Table 8 (U.S. Renewable Energy Supply
and Consumption) of the STEO.
Additional information on projected
renewable fuel use will be included as
it becomes available.
As discussed in Section II.D.1, we are
finalizing the energy content approach
to Equivalence Values for the cellulosic
biofuel, advanced biofuel, and total
renewable fuel standards. However, the
biomass-based diesel standard is based
on the volume of biodiesel. In order to
align both of these approaches
simultaneously, biodiesel will continue
to generate 1.5 RINs per gallon as in
RFS1, and the biomass-based diesel
volume mandate from EISA is then
adjusted upward by the same 1.5 factor.
The net result is a biomass-based diesel
gallon being worth 1.0 gallons toward
the biomass-based diesel standard, but
1.5 gallons toward the other standards.
CAA section 211(o) exempts small
refineries 18 from the RFS requirements
until the 2011 compliance period. In
RFS1, we extended this exemption to
the few remaining small refiners not
already exempted.19 Small refineries
and small refiners will continue to be
exempt from the program until 2011
under the new RFS2 regulations. Thus
we have excluded their gasoline and
diesel volumes from the overall nonrenewable gasoline and diesel volumes
used to determine the applicable
percentages until 2011. As discussed in
18 Under section 211(o) of the Clean Air Act,
small refineries are those with 75,000 bbl/day or
less average aggregate daily crude oil throughput.
19 See Section III.E.
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the proposal, total small refinery and
small refiner gasoline production
volume is expected to be fairly constant
compared to total U.S. transportation
fuel production. Thus we estimated
small refinery and small refiner gasoline
and diesel volumes using a constant
percentage of national consumption, as
we did in RFS1. Using information from
gasoline batch reports submitted to EPA
for 2006, EIA data, and input from the
California Air Resources Board
regarding California small refiners, we
estimate that small refinery volumes
constitute 11.9% of the gasoline pool,
and 15.2% of the diesel pool.
CAA section 211(o) requires that the
small refinery adjustment also account
for renewable fuels used during the
prior year by small refineries that are
exempt and do not participate in the
RFS2 program. Accounting for this
volume of renewable fuel would reduce
the total volume of renewable fuel use
required of others, and thus
directionally would reduce the
percentage standards. However, as we
discussed in RFS1, the amount of
renewable fuel that would qualify, i.e.,
RFVCB,i
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
StdBBD,i = 100% ×
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
RFVAB,i
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
14:03 Mar 25, 2010
Jkt 220001
RFVAB,i = Annual volume of advanced
biofuel required by section 211(o)(2)(B)
of the Clean Air Act for year i, in gallons
RFVRF,i = Annual volume of renewable fuel
required by section 211(o)(2)(B) of the
Clean Air Act for year i, in gallons
Gi = Amount of gasoline projected to be used
in the 48 contiguous states and Hawaii,
in year i, in gallons*
Di = Amount of diesel projected to be used
in the 48 contiguous states and Hawaii,
in year i, in gallons
RGi = Amount of renewable fuel blended into
gasoline that is projected to be consumed
in the 48 contiguous states and Hawaii,
in year i, in gallons
RDi = Amount of renewable fuel blended into
diesel that is projected to be consumed
PO 00000
Frm 00049
Fmt 4701
Sfmt 4700
in the 48 contiguous states and Hawaii,
in year i, in gallons
GSi = Amount of gasoline projected to be
used in Alaska or a U.S. territory in year
i if the state or territory opts-in, in
gallons*
RGSi = Amount of renewable fuel blended
into gasoline that is projected to be
consumed in Alaska or a U.S. territory in
year i if the state or territory opts-in, in
gallons
DSi = Amount of diesel projected to be used
in Alaska or a U.S. territory in year i if
the state or territory opts-in, in gallons *
RDSi = Amount of renewable fuel blended
into diesel that is projected to be
consumed in Alaska or a U.S. territory in
E:\FR\FM\26MRR2.SGM
26MRR2
ER26MR10.418
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
Where
StdCB,i = The cellulosic biofuel standard for
year i, in percent
StdBBD,i = The biomass-based diesel standard
(ethanol-equivalent basis) for year i, in
percent
StdAB,i = The advanced biofuel standard for
year i, in percent
StdRF,i = The renewable fuel standard for year
i, in percent
RFVCB,i = Annual volume of cellulosic
biofuel required by section 211(o)(2)(B)
of the Clean Air Act for year i, in gallons
RFVBBD,i = Annual volume of biomass-based
diesel required by section 211(o)(2)(B) of
the Clean Air Act for year i, in gallons
VerDate Nov<24>2008
RFVRF,i
ER26MR10.417
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StdRF,i = 100% ×
RFVBBD,i × 1.5
ER26MR10.416
StdAB,i = 100% ×
states or to Hawaii, including their
renewable fuel volumes in the
calculation of the standard would not
serve the purpose intended by section
211(o) of the Clean Air Act of ensuring
that the statutorily required renewable
fuel volumes are consumed in the 48
contiguous states and any state or
territory that opts-in. Therefore,
renewable fuels used in Alaska or U.S.
territories are not included in the
renewable fuel volumes that are
subtracted from the total gasoline and
diesel volume estimates.
In summary, the total projected nonrenewable gasoline and diesel volumes
from which the annual standards are
calculated are based on EIA projections
of gasoline and diesel consumption in
the contiguous 48 states and Hawaii,
adjusted by constant percentages of
11.9% and 15.2% in 2010 to account for
small refinery/refiner gasoline and
diesel volumes, respectively, and with
built-in correction factors to be used
when and if Alaska or a territory opt-in
to the program.
The following formulas are used to
calculate the percentage standards:
ER26MR10.415
StdCB,i = 100% ×
that was used by exempt small
refineries and small refiners but not
used as part of the RFS program, is
expected to be very small. In fact, these
volumes would not significantly change
the resulting percentage standards.
Whatever renewable fuels small
refineries and small refiners blend will
be reflected as RINs available in the
market; thus there is no need for a
separate accounting of their renewable
fuel use in the equations used to
determine the standards. We proposed
and are finalizing this value as zero.
The levels of the percentage standards
would be reduced if Alaska or a U.S.
territory chooses to participate in the
RFS2 program, as gasoline and diesel
produced in or imported into that state
or territory would then be subject to the
standard. Section 211(o) of the Clean
Air Act requires that the renewable fuel
be consumed in the contiguous 48
states, and any other state or territory
that opts-in to the program (Hawaii has
subsequently opted in). However,
because renewable fuel produced in
Alaska or a U.S. territory is unlikely to
be transported to the contiguous 48
14717
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
year i if the state or territory opts-in, in
gallons
GEi = The amount of gasoline projected to be
produced by exempt small refineries and
small refiners in year i, in gallons, in any
year they are exempt per §§ 80.1441 and
80.1442, respectively. Equivalent to
0.119*(Gi¥RGi).
DEi = The amount of diesel projected to be
produced by exempt small refineries and
small refiners in year i, in gallons, in any
year they are exempt per §§ 80.1441 and
80.1442, respectively. Equivalent to
0.152*(Di¥RDi).
* Note that these terms for projected
volumes of gasoline and diesel use include
gasoline and diesel that has been blended
with renewable fuel.
mstockstill on DSKH9S0YB1PROD with RULES2
b. Standards for 2010
We are finalizing the standards for
2010 in today’s action. As explained in
Section I.A.2, while the rulemaking is
not effective until July 1, 2010, the 2010
standards we are setting are annual
standards with compliance
demonstrations are due by February 28,
2011.
Under CAA section 211(o)(7)(D)(i),
EPA is required to make a determination
each year regarding whether the
required volumes of cellulosic biofuel
for the following year can be produced.
For any calendar year for which the
projected volume of cellulosic biofuel
production is less than the minimum
required volume, the projected volume
becomes the basis for the cellulosic
biofuel standard. In such a case, the
statute also indicates that EPA may also
lower the required volumes for
advanced biofuel and total renewable
fuel.
As discussed in Section IV.B., we are
utilizing the EIA projection of 5.04
million gallons (6.5 million ethanol
equivalent gallons) of cellulosic biofuel
as the basis for setting the percentage
standard for cellulosic biofuel for 2010.
This is lower than the 100 million
gallon standard set by EISA that we
proposed upholding, but reflects the
current state of the industry, as
discussed in section V.B. We expect
continued growth in the industry in
2011 and beyond. Since the advanced
biofuel standard is met by just the
biomass-based diesel volume required
in 2010, and additional volumes of
other advanced biofuels (e.g., sugarcane
ethanol) are available as well, no change
to the advanced biofuel standard is
necessary for 2010. Moreover, given the
nested nature of the volume mandates,
since no change in the advanced biofuel
standard is necessary, the total
renewable fuel standard need not be
changed either.
VerDate Nov<24>2008
14:03 Mar 25, 2010
Jkt 220001
time for obligated parties. It avoids a
transition that fails to have any
requirements related to the 2009
biomass-based diesel volume, and
Percent
instead requires the use of the 2009
Cellulosic biofuel .....................
0.004 volume but achieves this by extending
Biomass-based diesel ............
1.10
the compliance period by one year. We
Advanced biofuel ....................
0.61
believe this is a reasonable exercise of
Renewable fuel .......................
8.25
our authority under section 211(o)(2) to
issue regulations that ensure that the
2. Treatment of Biomass-Based Diesel in volumes for 2009 are ultimately used,
2009 and 2010
even though we were unable to issue
As described in Section I.A.2, the four final regulations prior to the 2009
separate 2010 standards issued in
compliance year. We announced our
today’s rule will apply to all gasoline
intentions to implement the 2009 and
and diesel produced in 2010. However,
2010 biomass-based diesel requirements
EISA included volume mandates for
in this manner in the November 2008
biomass-based diesel, advanced biofuel, Federal Register notice cited
and total renewable fuel that applied in
previously. We reiterated these
2009. Since the RFS2 program was not
intentions in our NPRM. Thus, obligated
effective in 2009 and thus the volume
parties will have had sufficient lead
mandates for biomass-based diesel and
time to acquire a sufficient number of
advanced biofuel were not implemented biomass-based diesel RINs by the end of
in 2009, our NPRM proposed a
2010 to comply with the standard based
mechanism to ensure that the 2009
on 1.15 bill gal.
biomass-based diesel volume mandate
Data available at the time of this
would eventually be met. In today’s
writing suggests that approximately 450
final rule we are finalizing the proposed million gallons of biodiesel was
approach.
produced in 2009, thus requiring 700
million gallons to be produced in 2010
a. Shift in 2009 Biomass-Based Diesel
to satisfy the combined 2009 and 2010
Compliance Demonstration to 2010
volume mandates. Information from
Under the RFS1 regulations that
commenters and other contacts in the
applied in 2009, we set the applicable
biodiesel industry indicate that
standard for total renewable fuel in
feedstocks and production facilities will
November 2008 20 using the required
be available in 2010 to produce this
volume of 11.1 billion gallons specified
volume.
in the Clean Air Act (as amended by
Refiners generally commented that
EISA), gasoline volume projections from the proposed approach to 2009 and
EIA, and the formula provided in the
2010 biomass-based diesel volumes was
regulations at § 80.1105(d). The existing not appropriate and should not be
RFS1 regulations did not provide a
implemented. They also recommended
mechanism for requiring the use of 0.5
that the RFS2 program should be made
billion gallons of biomass-based diesel
effective on January 1, 2011 with no
or the 0.6 billion gallons of advanced
carryover of any previous-year
biofuel mandated by EISA for 2009.
obligations for biomass-based diesel or
In the NPRM we proposed that the
any other volume mandate. In contrast,
compliance demonstration for the 2009
the National Biodiesel Board and
biomass-based diesel requirement of 0.5 several individual biodiesel producers
bill gal be extended to 2010. This
supported the proposed approach, but
approach would combine the 0.5 bill gal believed it was insufficient to compel
requirement for 2009 and the 0.65 bill
obligated parties to purchase biodiesel
gal requirement for 2010 into a single
in 2009, something they considered
requirement of 1.15 bill gal for which
critical to the survival of the biodiesel
compliance demonstrations would be
industry. Many of these commenters
made by February 28, 2011. As
requested that we conduct an interim
described in the NPRM, we believe that
rulemaking that would apply to 2009 to
the deficit carryover provision provides implement the EISA mandated volume
a conceptual mechanism for this
of 0.5 billion gallons of biomass-based
approach, since it would have allowed
diesel. If the RFS2 program could not be
obligated parties to defer compliance
implemented until 2011, they likewise
with any or all of the 2009 standards
requested that interim measures be
until 2010. We are finalizing this
taken for 2010 to ensure that the full
approach in today’s action. We believe
1.15 bill gal requirement would be
it will ensure that these two year’s
implemented. However, putting in place
worth of biomass-based diesel will be
this new volume requirement without
also putting in place EISA’s new
used, while providing reasonable lead
definition for biomass-based diesel,
20 See 73 FR 70643 (November 21, 2008).
renewable fuel, and renewable biomass
TABLE II.E.1.b–1—STANDARDS FOR
2010
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
would have raised significant legal and
policy issues that would necessarily
have required a new proposal with its
own public notice and comment
process. Because of the significant time
required for notice and comment
rulemaking, the need to provide
industry with adequate lead time for
new requirements, and the fact that we
were already well into calendar year
2009 at the time the request for an
interim rule was received, it was
unlikely that any interim rule could
have impacted biodiesel demand in
2009. Moreover, Agency resources
applied to the interim rulemaking
would have been unavailable for
development of the final RFS2
rulemaking. Developing an interim rule
could have undermined EPA’s ability to
complete the full RFS2 program
regulations in time for 2010
implementation. As a result, we did not
pursue an interim rulemaking.
With regard to advanced biofuel, it is
not necessary to implement a separate
requirement for the 0.6 billion gallon
mandate for 2009. Due to the nested
nature of the volume requirements and
the fact that Equivalence Values will be
based on the energy content relative to
ethanol, the 0.5 billion gallon
requirement for biomass-based diesel
will count as 0.75 billion gallons of
advanced biofuel, exceeding the
requirement of 0.6 billion gallons. Thus
compliance with the biomass-based
diesel requirement in 2009
automatically results in compliance
with the advanced biofuel standard.
All 2009 biodiesel and renewable
diesel RINs, identifiable through an RR
code of 15 or 17 respectively under the
RFS1 regulations, will be valid for
showing compliance with the adjusted
2010 biomass-based diesel standard of
1.15 billion gallons. This use of
previous year RINs for current year
compliance is consistent with our
approach to any other standard for any
other year and consistent with the
flexibility available to any obligated
party that carries a deficit from one year
to the next. Moreover, it allows an
obligated party to acquire sufficient
biodiesel and renewable diesel RINs
during 2009 to comply with the 0.5
billion gallons requirement, even
though their compliance demonstration
would not occur until the 2010
compliance period.
We did not reduce the 2009 volume
requirement for total renewable fuel by
0.5 billion gallons to account for the fact
that we intended to move the
compliance demonstration for this
volume has been moved to the 2010
compliance period. Instead, we are
allowing 2009 biodiesel and renewable
VerDate Nov<24>2008
14:03 Mar 25, 2010
Jkt 220001
diesel RINs to be used for compliance
purposes for both the 2009 total
renewable fuel standard as well as the
2010 adjusted biomass-based diesel
standard (but not for the 2010 advanced
biofuel or total renewable fuel
standards). To accomplish this, we
proposed in the NPRM that an obligated
party would add up the 2009 biodiesel
and renewable diesel RINs that he used
for 2009 compliance with the RFS1
standard for total renewable fuel, and
reduce his 2010 biomass-based diesel
obligation by this amount. Thus, 2009
biodiesel and renewable diesel RINs are
essentially used twice. Any remaining
2010 biomass-based diesel obligation
would need to be covered either with
2009 biodiesel and renewable diesel
RINs that were not used for compliance
in 2009 or with 2010 biomass-based
diesel RINs. We are finalizing this
approach in today’s notice.
b. Treatment of Deficit Carryovers, RIN
Rollover, and RIN Valid Life for
Adjusted 2010 Biomass-Based Diesel
Requirement
Our transition approach for biomassbased diesel is conceptually similar, but
not identical, to the statutory deficit
carryover provision. In a typical deficit
carryover situation, an obligated party
can carry forward any amount of a
current-year deficit to the following
year. In the absence of any
modifications to the deficit carryover
provisions for our biomass-based diesel
transition provisions, then, an obligated
party that did not fully comply with the
2010 biomass-based diesel requirement
of 1.15 billion gallons could carry a
deficit of any amount into 2011. As
described in the NPRM, we believe that
the deficit carryover provisions should
be modified in the context of the
transition biomass-based diesel
approach to more closely represent what
would have occurred if we had been
able to implement the 0.5 bill gal
requirement in 2009. Specifically, we
are prohibiting obligated parties from
carrying over a biomass-based diesel
deficit into 2011 larger than that based
on the 0.65 bill gal volume requirement
for 2010. This is the amount that would
have been permitted had we been able
to implement the biomass-based diesel
requirements in 2009. In practice, this
means that deficit carryovers from 2010
into 2011 for biomass-based diesel
cannot not exceed 57% (0.65/1.15) of an
obligated party’s 2010 RVO. This
approach also helps to ensure a
minimum volume mandate for
companies producing biomass-based
diesel each year.
Similarly, in the absence of any
modifications to the provisions
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Fmt 4701
Sfmt 4700
14719
regarding valid life of RINs, 2008
biodiesel and renewable diesel RINs
could not be used for compliance in
2010 with the adjusted biomass-based
diesel standard, despite the fact that the
2010 standard includes the 2009
requirement for which 2008 RINs
should be valid. The National Biodiesel
Board opposed this approach on the
basis that the use of 2008 RINs for 2010
compliance demonstrations violated the
2-year valid life limit for RINs.
However, since the 2010 compliance
demonstration will include the
obligation that would have applied in
2009, and 2008 RINs would be valid for
2009 compliance, we are allowing
excess 2008 biodiesel and renewable
diesel RINs that were not used for
compliance purposes in 2008 to be used
for compliance purposes in 2009 or
2010.
As described in Section III.D, we are
requiring the 20% RIN rollover cap to
apply in all years, and separately for all
four standards. However, consistent
with our approach to deficit carryovers,
we believe that an additional constraint
is warranted in the application of the
rollover cap to the biomass-based diesel
obligation in the 2010 compliance year
to more closely represent what would
have occurred if we had been able to
implement the 0.5 bill gal requirement
in 2009. Specifically, we are limiting the
use of excess 2008 RINs to 20% of the
statutory 2009 requirement of 0.5 bill
gal. This is equivalent to 0.1 bill gal
(20% of 0.5 bill gal), or 8.7% of the
combined 2009/2010 obligation of 1.15
bill gal (0.1/1.15). Thus, obligated
parties will be allowed to use excess
2008 and 2009 biodiesel and renewable
diesel RINs for compliance with the
2010 combined standard of 1.15 bill gal,
so long as the sum of all previous-year
RINs (2008 plus 2009 RINs) does not
exceed 20% of their 2010 obligation,
and the 2008 RINs do not exceed 8.7%
of their 2010 obligation.
Under RFS1, RINs are generated when
renewable fuel is produced, but if the
fuel is ultimately used for purposes
other than as motor vehicle fuel the
RINs must generally be retired. Under
EISA, however, RINs generated for
renewable fuel that is ultimately used
for nonroad purposes, heating oil, or jet
fuel are valid for compliance purposes.
To more closely align our transition
approach for biomass-based diesel to
what could have occurred if we had
issued the RFS2 standards prior to 2009,
we are allowing 2009 RINs that are
retired because they are ultimately used
for nonroad, heating oil or jet fuel
purposes to be valid for compliance
with the 2010 standards. Such RINs can
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be reinstated by the retiring party in
2010.
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3. Future Standards
The statutorily-prescribed phase-in
period ends in 2012 for biomass-based
diesel and in 2022 for cellulosic biofuel,
advanced biofuel, and total renewable
fuel. Beyond these years, EISA requires
EPA to determine the applicable
volumes based on a review of the
implementation of the program up to
that time, and an analysis of a wide
variety of factors such as the impact of
the production of renewable fuels on the
environment, energy security,
infrastructure, costs, and other factors.
For these future standards, EPA must
promulgate rules establishing the
applicable volumes no later than 14
months before the first year for which
such applicable volumes would apply.
For biomass-based diesel, this would
mean that final rules would need to be
issued by October 31, 2011 for
application starting on January 1, 2013.
In today’s rulemaking, we are not
suggesting any specific volume
requirements for biomass-based diesel
for 2013 and beyond that would be
appropriate under the statutory criteria
that we must consider. Likewise, we are
not suggesting any specific volume
requirements for the other three
renewable fuel categories for 2023 and
beyond. However, the statute requires
that the biomass-based diesel volume in
2013 and beyond must be no less than
1.0 billion gallons, and that advanced
biofuels in 2023 and beyond must
represent at a minimum the same
percentage of total renewable fuel as it
does in 2022. These provisions will be
implemented as part of an annual
standard-setting process.
F. Fuels That Are Subject to the
Standards
Under RFS1, producers and importers
of gasoline are obligated parties subject
to the standards—any party that
produces or imports only diesel fuel is
not subject to the standards. EISA
changes this provision by expanding the
RFS program in general to include all
transportation fuel. As discussed above,
however, section 211(o)(3) continues to
require EPA to determine which
refiners, blenders, and importers are
treated as subject to the standard. As
described further in Section II.G below,
under this rule, the sum of all highway
and nonroad gasoline and diesel fuel
produced or imported within a calendar
year will be the basis on which the
RVOs are calculated. This section
provides our final definition of gasoline
and diesel for the purposes of the RFS2
program.
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1. Gasoline
As with the RFS1 rule, the volume of
gasoline used in calculating the RVO
under RFS2 will continue to include all
finished gasoline (reformulated gasoline
(RFG) and conventional gasoline (CG))
produced or imported for use in the
contiguous United States or Hawaii, as
well as all unfinished gasoline that
becomes finished gasoline upon the
addition of oxygenate blended
downstream from the refinery or
importer. This includes both unfinished
reformulated gasoline, called
‘‘reformulated gasoline blendstock for
oxygenate blending,’’ or ‘‘RBOB,’’ and
unfinished conventional gasoline
designed for downstream oxygenate
blending (e.g., sub-octane conventional
gasoline), called ‘‘CBOB.’’ The volume of
any other unfinished gasoline or
blendstock, (such as butane or naphtha
produced in a refinery) or exported
gasoline, will not be included in the
obligated volume, except where the
blendstock is combined with other
blendstock or gasoline to produce
finished gasoline, RBOB, or CBOB.
Where a blendstock is blended with
other blendstock to produce finished
gasoline, RBOB, or CBOB, the total
volume of the gasoline blend will be
included in the volume used to
determine the blender’s renewable fuels
obligation. Where a blendstock is added
to finished gasoline, only the volume of
the blendstock will be included, since
the finished gasoline would have been
included in the compliance
determinations of the refiner or importer
of the gasoline. For purposes of this
preamble, the various gasoline products
described above that we are including in
a party’s obligated volume are
collectively called ‘‘gasoline.’’
Also consistent with the RFS1
program, we are continuing the
exclusion of any volume of renewable
fuel contained in gasoline from the
volume of gasoline used to determine
the renewable fuels obligations. This
exclusion applies to any renewable fuels
that are blended into gasoline at a
refinery, contained in imported
gasoline, or added at a downstream
location. Thus, for example, any ethanol
added to RBOB or CBOB at a refinery’s
rack or terminal downstream from the
refinery or importer will be excluded
from the volume of gasoline used by the
refiner or importer to determine the
obligation. This is consistent with how
the standard itself is calculated—EPA
determines the applicable percentage by
comparing the overall projected volume
of gasoline used to the overall
renewable fuel volume that is specified
in the statute, and EPA excludes ethanol
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and other renewable fuels that are
blended into the gasoline in
determining the overall projected
volume of gasoline. When an obligated
party determines their RVO by applying
the applicable percentage to the amount
of gasoline they produce or import, it is
consistent to also exclude ethanol and
other renewable fuel blends from the
calculation of the volume of gasoline
produced.
As with the RFS1 rule, Gasoline
Treated as Blendstock (GTAB) will
continue to be treated as a blendstock
under the RFS2 program, and thus will
not count towards a party’s renewable
fuel obligation. Where the GTAB is
blended with other blendstock (other
than renewable fuel) to produce
gasoline, the total volume of the
gasoline blend, including the GTAB,
will be included in the volume of
gasoline used to determine the
renewable fuel obligation. Where GTAB
is blended with renewable fuel to
produce gasoline, only the GTAB
volume will be included in the volume
of gasoline used to determine the
renewable fuel obligation. Where the
GTAB is blended with finished gasoline,
only the GTAB volume will be included
in the volume of gasoline used to
determine the renewable fuel obligation.
2. Diesel
EISA expanded the RFS program to
include transportation fuels other than
gasoline, thus both highway and
nonroad diesel must be used in
calculating a party’s RVO. Any party
that produces or imports petroleumbased diesel fuel that is designated as
motor vehicle, nonroad, locomotive, and
marine diesel fuel (MVNRLM) (or any
subcategory of MVNRLM) will be
required to include the volume of that
diesel fuel in the determination of its
RVO under the RFS2 rule. Diesel fuel
includes any distillate fuel that meets
the definition of MVNRLM diesel fuel as
it has already been defined in the
regulations at § 80.2(qqq), including any
subcategories such as MV (motor
vehicle diesel fuel produced for use in
highway diesel engines and vehicles),
NRLM (diesel fuel produced for use in
nonroad, locomotive, and marine diesel
engines and equipment/vessels), NR
(diesel fuel produced for use in nonroad
engines and equipment), and LM (diesel
fuel produced for use in locomotives
and marine diesel engines and
vessels).21 Transportation fuels meeting
21 EPA’s diesel fuel regulations use the term
‘‘nonroad’’ to designate one large category of land
based off-highway engines and vehicles,
recognizing that locomotive and marine engines
and vessels are also nonroad engines and vehicles
under EPAct’s definition of nonroad. Except where
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the definition of MVNRLM will be used
to calculate the RVOs, and refiners,
blenders, or importers of MVNRLM will
be treated as obligated parties. As such,
diesel fuel that is designated as heating
oil, jet fuel, or any designation other
than MVNRLM or a subcategory of
MVNRLM, will not be subject to the
applicable percentage standard and will
not be used to calculate the RVOs.22 We
requested comment on the idea that any
diesel fuel not meeting these
requirements, such as distillate or
residual fuel intended solely for use in
ocean-going vessels, would not be used
to calculate the RVOs.
One commenter expressed support for
including heating oil and jet fuel into
the RIN program, but not to subject
these fuels to the RVO mandate. The
commenter stated that fluctuating
weather conditions make it hard to
predict with any reliability the volumes
of heating oil that will be used in a
given year. Another commenter stated
that it supports the extension of the RFS
program to transportation fuels,
including diesel and nonroad fuels.
With respect to fuels for use in oceangoing vessels, EISA specifies that
‘‘transportation fuels’’ do not include
such fuels. We are interpreting that
‘‘fuels for use in ocean-going vessels’’
means residual or distillate fuels other
than MVNRLM intended to be used to
power large ocean-going vessels (e.g.,
those vessels that are powered by
Category 3 (C3), and some Category 2
(C2), marine engines and that operate
internationally). Thus, fuel for use in
ocean-going vessels, or that an obligated
party can verify as having been used in
an ocean-going vessel, will be excluded
from the renewable fuel standards. Also,
in the context of the recently finalized
fuel standards for C3 marine vessels,
this would mean that fuel meeting the
1,000 ppm fuel sulfur standard would
not be considered obligated volume,
while all MVNRLM diesel fuel would.
3. Other Transportation Fuels
Transportation fuels other than
gasoline or MVNRLM diesel fuel
(natural gas, propane, and electricity)
will not be used to calculate the RVOs
of any obligated party. We believe this
is a reasonable way to implement the
obligations of 211(o)(3) because the
volumes are small and the producers
cannot readily differentiate the small
portion used in the transportation sector
from the large portion used in other
noted, the discussion of nonroad in reference to
transportation fuel includes the entire category
covered by EPAct’s definition of nonroad.
22 See 40 CFR 80.598(a) for the kinds of fuel types
used by refiners or importers in designating their
diesel fuel.
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sectors (in fact, the producer may have
no knowledge of its ultimate use). We
will reconsider this approach if and
when these volumes grow. At the same
time, it is clear that these fuels can be
used as transportation fuel, and under
certain circumstances, producers of
such ‘‘other transportation fuels’’ may
generate RINs as a producer or importer
of a renewable fuel. See Section II.D.2.a
for further discussion of other RINgenerating fuels.
G. Renewable Volume Obligations
(RVOs)
Under RFS1, each obligated party was
required to determine its RVO based on
the applicable percentage standard and
its annual gasoline volume. The RVO
represented the volume of renewable
fuel that the obligated party was
required to ensure was used in the U.S.
in a given calendar year. Obligated
parties were required to meet their RVO
through the accumulation of RINs
which represent the amount of
renewable fuel used as motor vehicle
fuel that was sold or introduced into
commerce within the U.S. Each gallonRIN counted as one gallon of renewable
fuel for compliance purposes.
We are maintaining this approach to
compliance under the RFS2 program.
However, one primary difference
between RFS1 and the new RFS2
program in terms of demonstrating
compliance is that each obligated party
now has four RVOs instead of one
(through 2012) or two (starting in 2013)
under the RFS1 program. Also, as
discussed above, RVOs are now
calculated based on production or
importation of both gasoline and diesel
fuels, rather than gasoline alone.
By acquiring RINs and applying them
to their RVOs, obligated parties are
deemed to have satisfied their obligation
to cause the renewable fuel represented
by the RINs to be consumed as
transportation fuel in highway or
nonroad vehicles or engines. Obligated
parties are not required to physically
blend the renewable fuel into gasoline
or diesel fuel themselves. The
accumulation of RINs will continue to
be the means through which each
obligated party shows compliance with
its RVOs and thus with the renewable
fuel standards.
If an obligated party acquires more
RINs than it needs to meet its RVOs,
then in general it can retain the excess
RINs for use in complying with its RVOs
in the following year (subject to the 20%
rollover cap discussed in Section III.D)
or transfer the excess RINs to another
party. If, alternatively, an obligated
party has not acquired sufficient RINs to
meet its RVOs, then under certain
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14721
conditions it can carry a deficit into the
next year.
This section describes our approach
to the calculation of RVOs under RFS2
and the RINs that are valid for
demonstrating compliance with those
RVOs. This includes a description of the
special treatment that must be applied
to RFS1 RINs used for compliance
purposes under RFS2, since RINs
generated under RFS1 regulations are
not exactly the same as those generated
in under RFS2.
1. Designation of Obligated Parties
In the NPRM, we proposed to
continue to designate obligated parties
under the RFS2 program as they were
designated under RFS1, with the
addition of diesel fuel producers and
importers. Regarding gasoline producers
and importers, we proposed that
obligated parties who are subject to the
standard would be those that produce or
import finished gasoline (RFG and
conventional) or unfinished gasoline
that becomes finished gasoline upon the
addition of an oxygenate blended
downstream from the refinery or
importer. Unfinished gasoline would
include reformulated gasoline
blendstock for oxygenate blending
(RBOB), and conventional gasoline
blendstock designed for downstream
oxygenate blending (CBOB) which is
generally sub-octane conventional
gasoline. The volume of any other
unfinished gasoline or blendstock, such
as butane, would not be included in the
volume used to determine the RVO,
except where the blendstock was
combined with other blendstock or
finished gasoline to produce finished
gasoline, RBOB, or CBOB. Thus, parties
downstream of a refinery or importer
would only be obligated parties to the
degree that they use non-renewable
blendstocks to make finished gasoline,
RBOB, CBOB, or diesel fuel.
We also took comment on two
alternative approaches to the
designation of obligated parties:
—Elimination of RBOB and CBOB from
the list of fuels that are subject to the
standard, such that a party’s RVO
would be based only on the nonrenewable volume of finished
gasoline or diesel that he produces or
imports, thereby moving a portion of
the obligation to downstream blenders
of renewable fuels into RBOB and
CBOB.
—Moving the obligations for all gasoline
and diesel downstream of refineries
and importers to parties who supply
finished transportation fuels to retail
outlets or to wholesale purchaserconsumer facilities.
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These alternative approaches have the
potential to more evenly align a party’s
access to RINs with that party’s
obligations under the RFS2 program. As
described more fully in the NPRM, we
considered these alternatives because of
market conditions that had changed
since the RFS1 program began. For
instance, obligated parties who have
excess RINs have been observed to
retain rather than sell them to ensure
they have a sufficient number for the
next year’s compliance. This was most
likely to occur with major integrated
refiners who operate gasoline marketing
operations and thus have direct access
to RINs for ethanol blended into their
gasoline. Refiners whose operations are
focused primarily on producing refined
products with less marketing do not
have such direct access to RINs and
could potentially find it difficult to
acquire a sufficient number for
compliance despite the fact that the
total nationwide volume of renewable
fuel meets or exceeds the standard. The
result might be a higher price for RINs
(and fuel) in the marketplace than
would be expected under a more liquid
RIN market. For similar reasons, we also
took comment on possible changes to
the requirement that RINs be transferred
with volume through the distribution
system as discussed more fully in
Section II.H.4.
In response to the NPRM,
stakeholders differed significantly on
whether EPA should implement one of
these alternative approaches. For
instance, while some refiners expressed
support for moving the obligations to
downstream parties such as blenders,
terminals, and/or wholesale purchaserconsumers, other refiners preferred to
maintain the current approach. Blenders
and other downstream parties generally
expressed opposition to a change in the
designation of obligated parties, citing
the additional burden of demonstrating
compliance with the standard especially
for small businesses. They also pointed
to the need to implement new systems
for determining and reporting
compliance, the short leadtime for doing
so, and the fewer resources that smaller
downstream companies have to manage
such work in comparison to the much
larger refiners. Finally, they pointed to
the additional complexity that would be
added to the RFS program beyond that
which is necessary to carry out the
renewable fuels mandate under CAA
section 211(o).
When the RFS1 regulations were
drafted, the obligations were placed on
the relatively small number of refiners
and importers rather than on the
relatively large number of downstream
blenders and terminals in order to
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minimize the number of regulated
parties and keep the program simple.
However, with the expanded RFS2
mandates, essentially all downstream
blenders and terminals are now
regulated parties under RFS2 since
essentially all gasoline will be blended
with ethanol. Thus the rationale in
RFS1 for placing the obligation on just
the upstream refiners and importers is
no longer valid. Nevertheless, based on
the comments we received, we do not
believe that the concerns expressed
warrant a change in the designation of
obligated parties for the RFS2 program
at this time. We continue to believe that
the market will provide opportunities
for parties who are in need of RINs to
acquire them from parties who have
excess. Refiners who market
considerably less gasoline or diesel than
they produce can establish contracts
with splash blenders to purchase RINs.
Such refiners can also purchase ethanol
from producers directly, separate the
RINs, and then sell the ethanol without
RINs to blenders. Since the RFS
program is based upon ownership of
RINs rather than custody of volume,
refiners need never take custody of the
ethanol in order to separate RINs from
volumes that they own. Moreover, a
change in the designation of obligated
parties would result in a significant
change in the number of obligated
parties and the movement of RINs,
changes that could disrupt the operation
of the RFS program during the transition
from RFS1 to RFS2.
We will continue to evaluate the
functionality of the RIN market. Should
we determine that the RIN market is not
operating as intended, driving up prices
for obligated parties and fuel prices for
consumers, we will consider revisiting
this provision in future regulatory
efforts.
In the NPRM we also took comment
on several other possible ways to help
ensure that obligated parties can
demonstrate compliance. For instance,
one alternative approach would have
left our proposed definitions for
obligated parties in place, but would
have added a regulatory requirement
that any party who blends ethanol into
RBOB or CBOB must transfer the RINs
associated with the ethanol to the
original producer of the RBOB or CBOB.
Stakeholders generally opposed this
change, agreeing with our assessment
that it would be extremely difficult to
implement given that RBOB and CBOB
are often transferred between multiple
parties prior to ethanol blending. As a
result, a regulatory requirement for RIN
transfers back to the original producer
would have necessitated an additional
tracking requirement for RBOB and
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CBOB so that the blender would know
the identity of the original producer. It
would also be difficult to ensure that
RINs representing the specific category
of renewable fuel blended were
transferred to the producer of the RBOB
or CBOB, given the fungible nature of
RINs assigned to batches of renewable
fuel. For these reasons, we have not
finalized this alternative approach.
Another alternative approach on
which we took comment would have
allowed use of RINs that expire without
being used for compliance by an
obligated party to be used to reduce the
nationwide volume of renewable fuel
required in the following year. This
alternative approach could have helped
to prevent the hoarding of RINs from
driving up demand for renewable fuel.
However, it would also effectively alter
the valid life limit for RINs. Comments
from stakeholders did not change our
position that such an approach is not
warranted at this time, and thus we
have not finalized it.
2. Determination of RVOs
Corresponding to the Four Standards
In order for an obligated party to
demonstrate compliance, the percentage
standards described in Section II.E.1
which are applicable to all obligated
parties must be converted into the
volumes of renewable fuel each
obligated party is required to satisfy.
These volumes of renewable fuel are the
volumes for which the obligated party is
responsible under the RFS program, and
are referred to here as its RVO. Under
RFS2, each obligated party will need to
acquire sufficient RINs each year to
meet each of the four RVOs
corresponding to the four renewable
fuel standards.
The calculation of the RVOs under
RFS2 follows the same format as the
formulas in the RFS1 regulations at
§ 80.1107(a), with one modification. The
standards for a particular compliance
year must be multiplied by the sum of
the gasoline and diesel volume
produced or imported by an obligated
party in that year rather than only the
gasoline volume as under the RFS1
program.23 To the degree that an
obligated party did not demonstrate full
compliance with its RVOs for the
previous year, the shortfall will be
included as a deficit carryover in the
calculation. CAA section 211(o)(5) only
permits a deficit carryover from one
year to the next if the obligated party
achieves full compliance with each of
its RVOs including the deficit carryover
23 As discussed above, the diesel fuel that is used
to calculate the RVO is any diesel designated as
MVNRLM or a subcategory of MVNRLM.
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in the second year. Thus deficit
carryovers cannot occur two years in
succession for any of the four individual
standards. They can, however, occur as
frequently as every other year for a
given obligated party for each standard.
Note that a party that produces only
diesel fuel will have an obligation for all
four standards even though he will not
have the opportunity to blend ethanol
into his own gasoline. Likewise, a party
that produces only gasoline will have an
obligation for all four standards even
though he will not have an opportunity
to blend biomass-based diesel into his
own diesel fuel.
3. RINs Eligible To Meet Each RVO
Under RFS1, all RINs had the same
compliance value and thus it did not
matter what the RR or D code was for
a given RIN when using that RIN to
meet the total renewable fuel standard.
In contrast, under RFS2 only RINs with
specified D codes can be used to meet
each of the four standards.
As described in Section I.A.1, the
volume requirements in EISA are
generally nested within one another, so
that any fuel that satisfies the advanced
biofuel requirement also satisfies the
total renewable fuel requirement, and
14723
fuel that meets either the cellulosic
biofuel or the biomass-based diesel
requirements also satisfies the advanced
biofuel requirement. As a result, the
RINs that can be used to meet the four
standards are likewise nested. Using the
D codes defined in Table II.A–1, the
RFS2 RINs that can be used to meet
each of the four standards are shown in
Table II.G.3–1. RFS1 RINs generated in
2010 and identified by a D code of 1 or
2 can also be applied to these standards
using the protocol described in Section
II.G.4 below.
TABLE II.G.3–1—RINS THAT CAN BE USED TO MEET EACH STANDARD
Standard
Obligation
Allowable D
codes
Cellulosic biofuel .......................................................................
Biomass-based diesel ...............................................................
Advanced biofuel .......................................................................
Renewable fuel ..........................................................................
RVOCB ......................................................................................
RVOBBD ....................................................................................
RVOAB ......................................................................................
RVORF .......................................................................................
3 and 7.
4 and 7.
3, 4, 5, and 7.
3, 4, 5, 6, and 7.
The nested nature of the four
standards also means that in some cases
we must allow the same RIN to be used
to meet more than one standard in the
same year. Thus, for instance, a RIN
with a D code of 3 can be used to meet
three of the four standards, while a RIN
with a D code of 5 can be used to meet
both the advanced biofuel and total
renewable fuel standards. However, a D
code of 6 can only be used to meet the
renewable fuel standard. Consistent
with our proposal, we are continuing to
prohibit the use of a single RIN for
compliance purposes in more than one
year or by more than one party.24
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4. Treatment of RFS1 RINs Under RFS2
As described in the introduction to
this section, we are implementing a
number of changes to the RFS program
as a result of the requirements in EISA.
These changes will go into effect on July
1, 2010 and, among other things, will
affect the conditions under which RINs
are generated and their applicability to
each of the four standards. As a result,
RINs generated in 2010 under these
RFS2 regulations will not be exactly the
same as RINs generated under RFS1
regulations. Given the valid RIN life that
allows a RIN to be used in the year
generated or the year after, we must
address circumstances in which excess
2009 RINs are used for compliance
24 Note that we are finalizing an exception to this
general prohibition for the specific and limited case
of 2008 and 2009 biodiesel and renewable diesel
RINs used to demonstrate compliance with both the
2009 total renewable fuel standard and the 2010
biomass-based diesel standard. See Section II.E.2.a.
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purposes in 2010. Also, since RINs
generated in January through June of
2010 will be generated under RFS1
regulations, we must provide a means
for them to be used to meet the annual
2010 RFS2 standards. Finally, we must
address deficit carryovers from 2009 to
2010, since the total renewable fuel
standards in these two years will be
defined differently.
a. Use of RFS1 RINs To Meet Standards
Under RFS2
In 2009 and the first three months of
2010, the RFS1 regulations will
continue to apply and thus producers
will not be required to demonstrate that
their renewable fuel is made from
renewable biomass as defined by EISA,
nor that their combination of fuel type,
feedstock, and process meets the GHG
thresholds specified in EISA. Moreover,
there is no practical way to determine
after the fact if RINs generated under
RFS1 regulations meet any of these
criteria. However, we believe that the
vast majority of RFS1 RINs generated in
2009 and the first two months of 2010
will in fact meet the RFS2 requirements.
First, while ethanol made from corn
must meet a 20% GHG threshold under
RFS2 if produced by a facility that
commenced construction after
December 19, 2007, facilities that were
already built or had commenced
construction as of December 19, 2007
are exempt from this requirement.
Essentially all ethanol produced in 2009
and the first three months of 2010 will
meet the prerequisites for this
exemption. Second, it is unlikely that
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renewable fuels produced in 2009 or the
first three months of 2010 will have
been made from feedstocks that do not
meet the new renewable biomass
definition. It is very unlikely that new
land would have been cleared or
cultivated since December 19, 2007 for
use in growing crops for renewable fuel
production, and thus the land use
restrictions associated with the
renewable biomass definition will very
likely be met. Finally, the text of section
211(o)(5) states that a ‘‘credit generated
under this paragraph shall be valid to
show compliance for the 12 months as
of the date of generation,’’ and EISA did
not change this provision and did not
specify any particular transition
protocol to follow. A straightforward
interpretation of this provision is to
allow RFS1 RINs generated in 2009 and
early 2010 to be valid to show
compliance for the annual 2010
obligations.
The separate definitions for cellulosic
biofuel and biomass-based diesel
require GHG thresholds of 60% and
50%, respectively. While we do not
have a mechanism in place to determine
if these thresholds have been met for
RFS1 RINs generated in 2009 or early
2010, any shortfall in GHG performance
for this one transition period is unlikely
to have a significant impact on longterm GHG benefits of the program. Few
stakeholders commented on our
proposed treatment of RFS1 RINs under
RFS2. Of those that did, most supported
our proposed approach to the use of
RFS1 RINs to meet RFS2 obligations.
Based on our belief that it is critical to
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the smooth operation of the program
that excess 2009 RINs be allowed to be
used for compliance purposes in 2010,
we are allowing RFS1 RINs that were
generated in 2009 or 2010 representing
cellulosic biomass ethanol to be valid
for use in satisfying the 2010 cellulosic
biofuel standard. Likewise, we are
allowing RFS1 RINs that were generated
in 2009 or 2010 representing biodiesel
and renewable diesel to be valid for use
in satisfying the 2010 biomass-based
diesel standard.
Consistent with our proposal, we have
used information contained in the RR
and D codes of RFS1 RINs to determine
how those RINs should be treated under
RFS2. The RR code is used to identify
the Equivalence Value of each
renewable fuel, and under RFS1 these
Equivalence Values are unique to
specific types of renewable fuel. For
instance, biodiesel (mono alkyl ester)
has an Equivalence Value of 1.5, and
non-ester renewable diesel has an
Equivalence Value of 1.7, and both of
these fuels may be valid for meeting the
biomass-based diesel standard under
RFS2. Likewise, RINs generated for
cellulosic biomass ethanol under RFS1
regulations must be identified with a D
code of 1, and these fuels will be valid
for meeting the cellulosic biofuel
standard under RFS2. Our final
treatment of RFS1 RINs for compliance
under RFS2 is shown in Table II.G.4.a–
1.
TABLE II.G.4.a–1—TREATMENT OF RFS1 RINS FOR RFS2 COMPLIANCE PURPOSES
RINs generated under RFS1 a
Treatment under RFS2 b
Any RIN with D code of 2 and RR code of 15 or 17 ......................................................................
All other RINs with D code of 2 ......................................................................................................
Any RIN with D code of 1 ...............................................................................................................
a
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b
Equivalent to RFS2 RINs with D code of 4.
Equivalent to RFS2 RINs with D code of 6.
Equivalent to RFS2 RINs with D code of 3.
See RFS1 RIN code definitions at § 80.1125.
See RFS2 RIN code definitions at § 80.1425.
b. Deficit Carryovers From the RFS1
Program to RFS2
The calculation of RVOs in 2010
under the RFS2 regulations will be
somewhat different than the calculation
of RVOs in 2009 under RFS1. In
particular, 2009 RVOs were based on
gasoline production only, while 2010
RVOs will be based on volumes of
gasoline and diesel. As a result, 2010
compliance demonstrations that include
a deficit carried over from 2009 will
combine obligations calculated on two
different bases.
We do not believe that deficits carried
over from 2009 to 2010 will undermine
the goals of the program in requiring
specific volumes of renewable fuel to be
used each year. Although RVOs in 2009
and 2010 will be calculated differently,
obligated parties must acquire sufficient
RINs in 2010 to cover any deficit carried
over from 2009 in addition to that
portion of their 2010 obligation which is
based on their 2010 gasoline and diesel
production. As a result, the 2009
nationwide volume requirement of 11.1
billion gallons of renewable fuel will be
consumed over the two year period
concluding at the end of 2010. Thus, we
are not implementing any special
treatment for deficits carried over from
2009 to 2010.
A deficit carried over from 2009 to
2010 will only affect a party’s total
renewable fuel obligation in 2010, as the
2009 obligation is for total renewable
fuel use, not a subcategory. The RVOs
for biomass-based diesel or advanced
biofuel will not be affected, as they do
not have parallel obligations in 2009
under RFS1.25
25 There
is no cellulosic biofuel standard for 2010.
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H. Separation of RINs
As we proposed in the NPRM, we are
requiring the RFS1 provisions regarding
the separation of RINs from volumes of
renewable fuel to be retained for RFS2.
However, the modifications in EISA
required changes to the treatment of
RINs associated with nonroad
renewable fuel and renewable fuels
used in heating oil and jet fuel. Our
approach to the separation of RINs by
exporters must also be modified to
account for the fact that there would be
four categories of renewable fuel under
RFS2.
1. Nonroad
Under RFS1, RINs associated with
renewable fuels used in nonroad
vehicles and engines downstream of the
renewable fuel producer were required
to be retired by the party who owned
the renewable fuel at the time of
blending. This provision derived from
the EPAct definition of renewable fuel
which was limited to fuel used to
replace fossil fuel used in a motor
vehicle. However, EISA expands the
definition of renewable fuel, and ties it
to the definition of transportation fuel
which is defined as any ‘‘fuel for use in
motor vehicles, motor vehicle engines,
nonroad vehicles, or nonroad engines
(except for ocean-going vessels).’’ To
implement these changes, the RFS2
program eliminates the RFS1 RIN
retirement requirement for renewable
fuels used in nonroad applications, with
the exception of RINs associated with
renewable fuels used in ocean-going
vessels.
Since RINs have a valid life of two
years, the NPRM proposed that a 2009
RFS1 RIN that is retired because the
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renewable fuel associated with it was
used in nonroad vehicles or engines
could be reinstated in 2010 for use in
compliance with the 2010 standards.
Stakeholders supported this approach,
and we are finalizing it in today’s
action.
2. Heating Oil and Jet Fuel
EISA defines ‘‘additional renewable
fuel’’ as ‘‘fuel that is produced from
renewable biomass and that is used to
replace or reduce the quantity of fossil
fuel present in home heating oil or jet
fuel.’’ 26 While we are not requiring
fossil-based heating oil and jet fuel to be
included in the fuel used by a refiner or
importer to calculate their RVOs, we are
allowing renewable fuels used as or in
heating oil and jet fuel to generate RINs.
Similarly, RINs associated with a
renewable fuel, such as biodiesel, that is
blended into heating oil will continue to
be valid for compliance purposes. See
also discussion in Section II.B.1.e.
3. Exporters
Under RFS1, exporters were assigned
an RVO representing the volume of
renewable fuel that was exported, and
they were required to separate all RINs
that were assigned to fuel that was
exported. Since there was only one
standard, there was only one possible
RVO applicable to exporters.
Under RFS2, there are four possible
RVOs corresponding to the four
categories of renewable fuel (cellulosic
biofuel, biomass-based diesel, advanced
biofuel, and total renewable fuel).
However, given the fungible nature of
the RIN system and the fact that an
26 EISA, Title II, Subtitle A—Renewable Fuel
Standard, Section 201.
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assigned RIN transferred with a volume
of renewable fuel may not be the same
RIN that was originally generated to
represent that volume, RINs from
different fuel types can accompany
volumes. Thus, there may be no way for
an exporter to determine from an
assigned RIN which of the four
categories applies to an exported
volume. In order to determine its RVOs,
the only information available to the
exporter may be the type of renewable
fuel that he is exporting.
However, if an exporter knows, or has
reason to know, that the renewable fuel
that it is exporting is either cellulosic
biofuel or advanced biofuel, we are
requiring the exporter to determine an
RVO for the exported fuel based upon
these fuel types. For instance, if an
exporter purchases cellulosic biofuel or
advanced biofuel directly from a
producer or if the fuel has been
segregated from other fuels, we would
expect the exporter to know or have
reason to know the type of fuel that it
is exporting. Another example of when
we would expect an exporter to know or
have reason to know that the fuel that
it is exporting is cellulosic or advanced
biofuel would be if the commercial
documents that accompany the
purchase or sale of the renewable fuel
identify the product as cellulosic or
advanced biofuel.
EPA recognizes that in many
situations, exporters will not know or
have reason to know which of the four
categories of renewable fuel apply to the
exported fuel. If this is the case, we are
requiring exporters to follow the
approach proposed in the NPRM.
Exported volumes of biodiesel (mono
alkyl esters) and renewable diesel must
be used to determine the exporter’s RVO
for biomass-based diesel. For all other
types of renewable fuel, the most likely
category is general renewable fuel.
Thus, we are requiring that all
renewable fuels be used to determine
the exporter’s RVO for total renewable
fuel. Our final approach is provided at
§ 80.1430.
In the NPRM we took comment on an
alternative approach in which the total
nationwide volumes required in each
year (see Table I.A.1–1) would be used
to apportion specific types of renewable
fuel into each of the four categories. For
example, exported ethanol may have
originally been produced from cellulose
to meet the cellulosic biofuel
requirement, from corn to meet the total
renewable fuel requirement, or may
have been imported as advanced
biofuel. If ethanol were exported, we
could divide the exported volume into
three RVOs for cellulosic biofuel,
advanced biofuel, and total renewable
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fuel using the same proportions
represented by the national volume
requirements for that year. However, as
described in the NPRM, we believe that
this alternative approach would have
added considerable complexity to the
compliance determinations for exporters
without necessarily adding more
precision. Given the expected small
volumes of exported renewable fuel, we
continue to believe that this added
complexity is not warranted at this time.
As described above, exporters must
separate any RINs assigned to renewable
fuel that they export. However, since
RINs are fungible and the owner of a
batch of renewable fuel has the
flexibility to assign between zero and
2.5 gallon-RINs to each gallon, we have
made this flexibility explicit for
exporters. Thus, an exporter can
separate up to 2.5 gallon-RINs for each
gallon of renewable fuel that he exports.
While the exporter is not required to
retain these separated RINs for use in
complying with his RVOs calculated on
the basis of the exported volumes, this
would be the most straightforward
approach and would ensure that the
exporter has sufficient RINs to comply.
However, we are aware of some
exporters who sell RINs that they
separate as a source of revenue, with the
intention to purchase replacement RINs
on the open RIN market later in the year
to comply with their RVOs. At this time
we are not aware of such activities
resulting in noncompliance, and thus
the RFS2 regulations promulgated today
will continue to allow this. However,
we may revisit this issue in the future
if there is evidence that exporters are
failing to comply because they are
selling RINs that they separate from
exported volumes.
4. Requirement To Transfer RINs With
Volume
In the NPRM, we proposed that the
approach to RIN transfers established
under RFS1—that RINs generated by
renewable fuel producers and importers
must be assigned to batches of
renewable fuel and transferred along
with those batches—be continued under
RFS2. However, given the higher
volumes required under RFS2 and the
resulting expansion in the number of
regulated parties, we also took comment
on two alternative approaches to RIN
transfers. Along with the alternative
approaches for designation of obligated
parties as described in Section II.G.1
above, a change to the requirement to
transfer RINs with batches had the
potential to more evenly align a party’s
access to RINs with that party’s
obligations under the RFS2 program.
Nevertheless, for the reasons described
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14725
below, we have determined that it
would not be appropriate to implement
these alternative approaches at this
time.
In the first alternative approach, we
would have removed the restriction
established under the RFS1 rule
requiring that RINs be assigned to
batches of renewable fuel and
transferred with those batches. Instead,
renewable fuel producers could have
sold RINs (with a K code of 2 rather
than 1) separately from volumes of
renewable fuel to any party.
In the second alternative approach,
producers and importers of renewable
fuels would be required to separate and
transfer the RIN, but only to an
obligated party. This ‘‘direct transfer’’
approach would require renewable fuel
producers to transfer RINs with
renewable fuel for all transactions with
obligated parties, and sell all other RINs
directly to obligated parties on a
quarterly basis for any renewable fuel
volumes that were not sold directly to
obligated parties. Any RINs not sold in
this way would be required to be offered
for sale to any obligated party through
a public auction. Only renewable fuel
producers, importers, and obligated
parties would be allowed to own RINs.
Many renewable fuel producers
supported the concept of allowing them
to separate the RINs from renewable fuel
that they produce. They generally
argued in favor of a free market
approach to RINs in which there would
be no restrictions on whom they could
sell RINs to, or in what timeframe. The
direct transfer approach was
unnecessary, they argued, since the
market would compel them to sell all
RINs they generated, and all RINs would
eventually end up in the hands of the
obligated parties that need them.
However, other renewable fuel
producers opposed any change to the
requirement that RINs be assigned to
volumes of renewable and transferred
with those volumes through the
distribution system. They argued that
the system established under RFS1 has
proven to work and it would create an
unwarranted burden to require
producers to modify their IT systems for
RFS2.
Marketers and distributors were
generally opposed to our proposed
alternative approaches to RIN transfers.
Moreover, SIGMA and NACS, as in the
RFS1 rulemaking process,
recommended that RINs not be
generated by producers at all, but rather
by the party that blends renewable fuel
into gasoline or diesel, or uses
renewable fuel in its neat form as a
transportation fuel.
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Obligated parties generally opposed
any change to the RFS1 requirement
that RINs be assigned to volumes of
renewable fuel by the producer or
importer, and transferred with volumes
through the distribution system. They
reiterated their concern, first raised in
the RFS1 rulemaking, that a free market
approach would place them at greater
risk of market manipulation by
renewable fuel producers. Moreover,
while generally expressing support for
the concept of a direct transfer
approach, they also expressed doubt
that the auctions could be regulated in
such a way as to ensure that RIN
generators could not withhold RINs
from the market by such means as
failing to adequately advertise the time
and location of an auction, by setting
the selling price too high, by specifying
a minimum number of bids before
selling, by conducting auctions
infrequently, by having unduly short
bidding windows, etc. These concerns
were exacerbated by the nested
standards required by EISA, under
which many obligated parties have
expressed concern about being able to
acquire sufficient RINs for compliance.
Given the significant challenges
associated with a change to the
requirement that RINs be transferred
with volume and the opposing views
among stakeholders, we are not making
any change in today’s final rule.
5. Neat Renewable Fuel and Renewable
Fuel Blends Designated as
Transportation Fuel, Heating Oil, or Jet
Fuel
Under RFS1, RINs must, with limited
exceptions, be separated by an obligated
party taking ownership of the renewable
fuel, or by a party that blends renewable
fuel with gasoline or diesel. In addition,
a party that designates neat renewable
fuel as motor vehicle fuel may separate
RINs associated with that fuel if the fuel
is in fact used in that manner without
further blending. One exception to these
provisions is that biodiesel blends in
which diesel constitutes less than 20
volume percent are ineligible for RIN
separation by a blender. While EPA
understands that in the vast majority of
cases, biodiesel is blended with diesel
in concentrations of 80 volume percent
or less, there may be instances in which
biodiesel is blended with diesel in
concentrations of more than 80 percent
biodiesel, but the blender is prohibited
from separating RINs under the RFS1
regulations.
Thus, in order to account for
situations in which biodiesel blends of
81 percent or greater may be used as
transportation fuel, heating oil, or jet
fuel without ever having been owned by
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an obligated party, EPA proposed, and
is finalizing a change to the
applicability of the RIN separation
provisions for RFS2. Section
80.1429(b)(4) will allow for separation
of RINs for neat renewable fuel or
blends of renewable fuel and diesel fuel
that the party designates as
transportation fuel, heating oil, or jet
fuel, provided the neat renewable fuel
or blend is used in the designated form,
without further blending, as
transportation fuel, heating oil, or jet
fuel. Those parties that blend renewable
fuel with gasoline or diesel fuel (in a
blend containing 80 percent or less
biodiesel) must separate RINs pursuant
to § 80.1429(b)(2).
Thus, for example, if a party intends
to separate RINs from a volume of B85,
the party must designate the blend for
use as transportation fuel, heating oil, or
jet fuel and the blend must be used in
its designated form without further
blending. The party is also required to
maintain records of this designation
pursuant to § 80.1454(b)(5). Finally, the
party is required to comply with the
proposed PTD requirements in
§ 80.1453(a)(11)(iv), which serve to
notify downstream parties that the
volume of fuel has been designated for
use as transportation fuel, heating oil, or
jet fuel, and must be used in that
designated form without further
blending. Parties may separate RINs at
the time they comply with the
designation and PTD requirements, and
do not need to physically track ultimate
fuel use.
I. Treatment of Cellulosic Biofuel
1. Cellulosic Biofuel Standard
EISA requires that the Administrator
set the cellulosic biofuel standard each
November for the next year based on the
lesser of the volume specified in the Act
or the projected volume of cellulosic
biofuel production based on EIA
estimates for that year. In the event that
the projected volume is less than the
amount required in the Act, EPA may
also reduce the applicable volume of the
total renewable fuel and advanced
biofuels requirement by the same or a
lesser volume. We will examine EIA’s
projected volumes and other available
data including the required production
outlook reports discussed in Section II.K
to decide the appropriate standard for
the following year. The outlook reports
from all renewable fuel producers will
assist EPA in determining what the
cellulosic biofuel standard should be
and if the total renewable fuel and/or
advanced biofuel standards should be
adjusted. For years where EPA
determines that the projected volume of
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cellulosic biofuels is not sufficient to
meet the levels in EISA we will consider
the availability of other advanced
biofuels in deciding whether to lower
the advanced biofuel standard as well.
In determining whether the advanced
biofuel and/or total renewable fuel
volume requirements should also be
adjusted downward in the event that
projected volumes of cellulosic biofuel
fall short of the statutorily required
volumes, we believe it may be
appropriate to allow excess advanced
biofuels to make up some or all of the
shortfall in cellulosic biofuel. For
instance, if we determined that
sufficient biomass-based diesel was
available, we could decide that the
required volume of advanced biofuel
need not be lowered, or that it should
be lowered to a smaller degree than the
required cellulosic biofuel volume.
Thus, the Act requires EPA to examine
the total and advanced renewable fuel
standards and volumes in the event of
a cellulosic volume waiver. EPA will
look at projections for each year on an
individual yearly basis to determine if
the standards should be adjusted. EPA
believes that since the standards are
nested and the total and advanced
renewable fuel volume mandates are
met in part by the cellulosic volume
mandate, Congress gave EPA the
flexibility to lower the required total
and advanced volumes, but Congress
also wanted to encourage the
development of advanced renewable
fuels as well and allow in appropriate
circumstances for the use of those fuels
in the event they can meet that year’s
required volumes that would have been
met by the cellulosic mandate.
2. EPA Cellulosic Biofuel Waiver
Credits for Cellulosic Biofuel
Whenever EPA sets the cellulosic
biofuel standard at a level lower than
that required in EISA, but greater than
zero, EPA is required to provide a
number of cellulosic credits for sale that
is no more than the volume used to set
the standard. Congress also specified the
price for such credits: Adjusted for
inflation, they must be offered at the
price of the higher of 25 cents per gallon
or the amount by which $3.00 per gallon
exceeds the average wholesale price of
a gallon of gasoline in the United States.
The inflation adjustment will be for
years after 2008. The inflation
adjustment will be based on the
standard US inflation measure
Consumer Price Index for All Urban
Consumers (CPI–U) for All Items
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expenditure category as provided by the
Bureau of Labor Statistics.27
Congress afforded the Agency
considerable flexibility in implementing
the system of cellulosic biofuel credits.
EISA states EPA; ‘‘shall include such
provisions, including limiting the
credits’ uses and useful life, as the
Administrator deems appropriate to
assist market liquidity and
transparency, to provide appropriate
certainty for regulated entities and
renewable fuel producers, and to limit
any potential misuse of cellulosic
biofuel credits to reduce the use of other
renewable fuels, and for such other
purposes as the Administrator
determines will help achieve the goals
of this subsection.’’
We have fashioned a number of
limitations on the use of cellulosic that
reflect these considerations.
Specifically, the credits will be called
‘‘Cellulosic Biofuel Waiver Credits’’ (or
‘‘waiver credits’’) so that there is no
confusion with RINs or allowances used
in the acid rain program. Such waiver
credits will only be available for the
current compliance year for which we
have waived some portion of the
cellulosic biofuel standard, they will
only be available to obligated parties,
and they will be nontransferable and
nonrefundable. Further, obligated
parties may only purchase waiver
credits up to the level of their cellulosic
biofuel RVO less the number of
cellulosic biofuel RINs that they own. A
company owning cellulosic biofuel RINs
and cellulosic waiver credits may use
both types of credits if desired to meet
their RVOs, but unlike RINs obligated
parties will not be able to carry waiver
credits over to the next calendar year.
Obligated parties may not use waiver
credits to meet a prior year deficit
obligation. These restrictions help
ensure that waiver credits are not
overutilized at the expense of actual
renewable volume.
In the NPRM, EPA proposed that the
credits could be usable for the advanced
and total renewable standards similarly
to cellulosic biofuel RINs. Several
commenters stated this provision could
displace advanced and total renewable
fuel that was actually produced which
would be against the intent of the Act,
and that unlike RINs a company should
only be permitted to use waiver credits
to meet its cellulosic biofuel obligation.
We agree, and are limiting the use of
waiver credits for compliance with only
a company’s cellulosic biofuel RVO.
27 See U.S. Department of Labor, Bureau of Labor
Statistics (BLS), Consumer Price Index Web site at:
https://www.bls.gov/cpi/.
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In the event the total volume of
conventional gasoline and diesel fuel
produced or imported in the country
exceeds the projections used to set the
standard, companies will still be able to
purchase waiver credits up to their
cellulosic volume obligation. When
setting a reduced cellulosic biofuel
standard EPA makes a determination
that the cellulosic volume specified in
EISA will not be met and that
determination is not based on how
much nonrenewable motor fuel will be
produced. EPA sets the standard based
on the volumes in the Act and a
projection of gasoline production to
ensure the obligation is broken up most
equitably. EPA believes that Congress
wanted all obligated parties to have
equal access to the waiver credits in the
event of the waiver and did not want
obligated parties to incur a deficit due
to the timing of when they purchased
waiver credits.
Cellulosic Biofuel Waiver Credits, in
the event of a waiver, will be offered in
a generic format rather than a serialized
format, like RINs. Waiver credits can be
purchased using procedures defined by
the EPA, and at the time that an
obligated party submits its annual
compliance demonstration to the EPA
and establishes that it owns insufficient
cellulosic biofuel RINs to meet its
cellulosic biofuel RVO. EPA will define
these procedures with the U.S. Treasury
before the end of the first annual
compliance period. EPA will publish
these procedures with the obligated
party annual compliance report
template. EPA will provide the forms
necessary to purchase the credits. EPA
intends to provide options for obligated
parties to use Pay.Gov or if desired to
mail payment to the U.S. Treasury.
The wholesale price of gasoline used
by EPA in setting the price of the waiver
credits will be based on the average
monthly bulk (refinery gate) price of
gasoline using data from the most recent
twelve months of data from EIA
available to EPA at the time it develops
the cellulosic biofuel standard.28 EPA
will use refinery gate price, U.S. Total
Gasoline Bulk Sales (Price) by Refiners
from EIA in calculating the average,
since it is the price most reflective of
what most obligated parties are selling
their fuel. EPA will use the most recent
twelve months of data provided by EIA
to develop an average price on actual
volumes produced in the year prior to
the compliance year. In order to provide
regulatory certainty, we will set the
28 More information on wholesale gasoline prices
can be found on the Department of Energy’s (DOE),
Energy Information Administration’s (EIA) Web site
at: https://tonto.eia.doe.gov/dnav/pet/hist/
LeafHandler.ashx?n=PET&s=A103B00002&f=M.
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waiver credits price for the following
year each November when and if we set
a cellulosic biofuel standard for the
following year that is based on
achieving a lower volume of cellulosic
biofuel use than is specified in EISA.
For the 2010 compliance period, since
the cellulosic standard is lower than the
level otherwise required by EISA, we
are also making cellulosic waiver credits
available to obligated parties for end-ofyear compliance should they need them
at a price of $1.56 per gallon-RIN.’’ The
price for the 2011 compliance period, if
necessary will be set when we announce
the 2011 cellulosic biofuel standard.
3. Application of Cellulosic Biofuel
Waiver Credits
While the credit provisions of section
202(e) of EISA ensure that there is a
predictable upper limit to the price that
cellulosic biofuel producers can charge
for a gallon of cellulosic biofuel and its
assigned RIN, there may be
circumstances in which this provision
has other unintended consequences.
This could occur in situations where the
cost of total renewable fuel RINs
exceeds the cost of the cellulosic waiver
credits. To prevent this, we sought
comment on and are finalizing an
additional restriction: An obligated
party may only purchase waiver credits
from the EPA to the degree that it
establishes it owns insufficient
cellulosic biofuel RINs to meet its
cellulosic biofuel RVO. This approach
forces obligated parties to apply all their
cellulosic biofuel RINs to their
cellulosic biofuel RVO before applying
any waiver credits to their cellulosic
biofuel RVO.
Even with this restriction the
approach in the NPRM might not have
operated as intended. For instance, if
the combination of cellulosic biofuel
volume price and RIN price were to
become low compared to that for
general renewable fuel, a small number
of obligated parties could have
purchased more cellulosic biofuel than
they need to meet their cellulosic
biofuel RVOs and could have used the
additional cellulosic biofuel RINs to
meet their advanced biofuel and total
renewable fuel RVOs. Other obligated
parties would then have had no access
to cellulosic biofuel volume nor
cellulosic biofuel RINs, and would have
been forced to purchase waiver credits
from the EPA. This situation would
have had the net effect of waiver credits
replacing advanced biofuels and/or
general renewable fuel rather than
cellulosic biofuel. Based on comments
received on the NPRM, EPA is placing
the additional restriction of only
allowing the waiver credits to count
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towards the cellulosic biofuel standard
and not the advanced or renewable fuel
standards.
Moreover, under certain conditions it
may be possible for the market price of
general renewable fuel RINs to be
significantly higher than the market
price of cellulosic biofuel RINs, as the
latter is limited in the market by the
price of EPA-generated waiver credits
according to the statutory formula
described in Section II.I.2 above. Under
some conditions, this could result in a
competitive disadvantage for cellulosic
biofuel in comparison to corn ethanol,
for example. For instance, if gasoline
prices at the pump are significantly
higher than ethanol production costs,
while at the same time corn-ethanol
production costs are lower than
cellulosic ethanol production costs,
profit margins for corn-ethanol
producers will be larger than for
cellulosic ethanol producers. Under
these conditions, while obligated parties
may still purchase cellulosic ethanol
volume and its associated RINs rather
than waiver credits, cellulosic ethanol
producers will realize lower profits than
corn-ethanol producers due to the upper
limit placed on the price of cellulosic
biofuel RINs through the pricing
formula for waiver credits. For a newly
forming and growing cellulosic biofuel
industry, this competitive disadvantage
could make it more difficult for
investors to secure funding for new
projects, threatening the ability of the
industry to reach the statutorily
mandated volumes.
Finally, in the NPRM we sought
comment on a ‘‘dual RIN’’ approach to
cellulosic biofuel. In this approach, both
cellulosic biofuel RINs (with a D code
of 3) and waiver credits would have
only been applied to an obligated
party’s cellulosic biofuel RVO, but
producers of cellulosic biofuel would
also generate an additional RIN
representing advanced biofuel (with a D
code of 5). The producer would have
only been required to transfer the
advanced biofuel RIN with a batch of
cellulosic biofuel, and could retain the
cellulosic biofuel RIN for separate sale
to any party.29 The cellulosic biofuel
and its attached advanced biofuel RIN
would then have competed directly
with other advanced biofuel and its
attached advanced biofuel RIN, while
the separate cellulosic biofuel RIN
would have an independent market
value that would have been effectively
limited by the pricing formula for
waiver credits as described in Section
29 The cellulosic biofuel RIN would be a
separated RIN with a K code of 2 immediately upon
generation.
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II.I.2. However, this approach would
have been a more significant deviation
from the RIN generation and transfer
program structure that was developed
cooperatively with stakeholders during
RFS1. It would have provided cellulosic
biofuel producers with significantly
more control over the sale and price of
cellulosic biofuel RINs, which was one
of the primary concerns of obligated
parties during the development of RFS1.
Therefore, EPA is treating the transfer of
cellulosic RINs in the same manner as
the other required volumes.
J. Changes to Recordkeeping and
Reporting Requirements
time’’ generation of RINs and
transactions involving RINs starting July
1, 2010. ‘‘Real time’’ means recordation
within five (5) business days of
generation or any transaction involving
a RIN.
Quarterly reports are to be submitted
on the following schedule. Quarterly
reports include RIN Activity Reports
and, with EMTS, simplified reporting
and certification of the RIN Generation
and RIN Transaction Reports.
TABLE II.J–1—QUARTERLY REPORTING
SCHEDULE
Quarter covered by report
Due date for
report
January–March ......................
April–June .............................
July–September ....................
October–December ...............
May 31.
August 31.
November 30.
February 28.
1. Recordkeeping
Recordkeeping, including product
transfer documents (PTDs), will support
the enforcement of the use of RINs for
compliance purposes. Parties are
afforded significant freedom with regard
to the form that PTDs take. Product
codes may be used as long as they are
understood by all parties, but they may
not be used for transfers to truck carriers
or to retailers or wholesale purchaserconsumers. Parties must keep copies of
all PTDs they generate and receive, as
well as copies of all reports submitted
to EPA and all records related to the
sale, purchase, brokering or transfer or
RINs, for five (5) years. Parties must
keep copies of records that relate to
program flexibilities, such as small
business-oriented provisions. Upon
request, parties are responsible for
providing their records to the
Administrator or the Administrator’s
authorized representative. We reserve
the right to request to receive
documents in a format that we can read
and use.
In Section III.A. of this preamble, we
describe an EPA–Moderated
Transaction System (EMTS) for RINs.
The new system allows for ‘‘real-time’’
recording of transactions involving
RINs.
2. Reporting
Producers and importers who
generate or take ownership of RINs shall
submit RIN Transaction Reports 30 and/
or RIN Generation Reports quarterly.
Renewable fuel exporters and obligated
parties shall submit their RIN
Transaction Reports quarterly, and RIN
owners shall submit their RIN
Transaction Reports quarterly. EMTS
will be used by all parties to record ‘‘real
30 For ease of reference, the current RFS (i.e.
RFS1) form may be viewed at the EPA Fuels
Reporting Web site at the following URL: https://
www.epa.gov/otaq/regs/fuels/rfsforms.htm
(accessed November 16, 2009). These forms will be
updated for RFS2.
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Annual reports (covering January
through December) would continue to
be due on February 28. The only annual
report is the Obligated Party Annual
Compliance Report.31
Simplified, secure reporting is
currently available through our Central
Data Exchange (CDX). CDX permits us
to accept reports that are electronically
signed and certified by the submitter in
a secure and robustly encrypted fashion.
Using CDX eliminates the need for wet
ink signatures and reduces the reporting
burden on regulated parties. EMTS will
also make use of the CDX environment.
Due to the criteria that renewable fuel
producers and importers must meet in
order to generate RINs under RFS2, and
due to the fact that renewable fuel
producers and importers must have
documentation about whether their
feedstock(s) meets the definition of
‘‘renewable biomass,’’ we proposed
several changes to the RIN Generation
Report.32 We proposed to make the
report a more general report on
renewable fuel production in order to
capture information on all batches of
renewable fuel, whether or not RINs are
generated for them. This final rule
adopts the proposed approach. All
renewable fuel producers and importers
above 10,000 gallons per year must
report to EPA on each batch of their fuel
and indicate whether or not RINs are
generated for the batch. If RINs are
generated, the producer or importer is
required to certify that his feedstock
meets the definition of ‘‘renewable
biomass.’’ If RINs are not generated, the
producer or importer must state the
reason for not generating RINs, such as
they have documentation that states that
31 For
32 For
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RFS1, this form is numbered RFS0400.
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their feedstock did not meet the
definition of ‘‘renewable biomass,’’ or
the fuel pathway used to produce the
fuel was such that the fuel did not
qualify to generate RINs as a renewable
fuel. For each batch of renewable fuel
produced, we require information about
the types and volumes of feedstock used
and the types and volumes of coproducts produced, as well as
information about the process or
processes used. This information is
necessary to confirm that the producer
or importer assigned the appropriate D
code to their fuel and that the D code
was consistent with their registration
information. In this final rule, we adopt
the approach set forth in the notice of
proposed rulemaking.
In addition, we proposed two changes
for the RIN Transaction Report.33 First,
for reports of RINs assigned to a volume
of renewable fuel, the volume of
renewable fuel must be reported.
Second, RIN price information must be
submitted for transactions involving
both separated RINs and RINs assigned
to a renewable volume. This
information was not collected under
RFS1, but because we believe this
information has great programmatic
value to EPA, we proposed to collect it
for RFS2. As we explained in the
proposed rule, price information may
help us to anticipate and appropriately
react to market disruptions and other
compliance challenges, will be
beneficial when setting future
renewable standards, and will provide
additional insight into the market when
assessing potential waivers. Our
incomplete knowledge regarding RIN
pricing for RFS1 adversely affected our
ability to assess the general health and
direction of the market and overall
liquidity of RINs. Because we believe
the inclusion of price information in
reports will be beneficial to both EPA
and to regulated parties, this final rule
includes that information element in
reports, as well as incorporating it as
part of the ‘‘real time’’ transactional
information collected via EMTS.
3. Additional Requirements for
Producers of Renewable Natural Gas,
Electricity, and Propane
In addition to the general reporting
requirement listed above, we are
requiring an additional item of reporting
for producers of renewable natural gas,
electricity, and propane who choose to
generate and assign RINs. While
producers of renewable natural gas,
electricity, and propane who generate
and assign RINs are responsible for
filing the same reports as other
33 For
RFS1, this form is numbered RFS0200.
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producers of RIN-generating renewable
fuels, we are requiring that additional
reporting for these producers support
the actual use of their products in the
transportation sector. We believe that
one simple way to achieve this may be
to add a requirement that producers of
renewable natural gas, electricity, and
propane add the name of the purchaser
(e.g., the name of the wholesale
purchaser-consumer (WPC) or fleet) to
their RIN generation reports and then
maintain appropriate records that
further identify the purchaser and the
details of the transaction. We are not
requiring that a purchaser who is either
a WPC or an end user would have to
register under this scenario, unless that
party engages in other activities
requiring registration under this
program.
4. Attest Engagements
The purpose of an attest engagement
is to receive third party verification of
information reported to EPA. An attest
engagement, which is similar to a
financial audit, is conducted by a
Certified Public Accountant (CPA) or
Certified Independent Auditor (CIA)
following agreed-upon procedures. We
have found the information in attest
engagements submitted under RFS1 to
be extremely valuable as a compliance
monitoring tool. The approach adopted
in this final rule is identical to the
approach adopted under the RFS1
program,34 although the universe of
obligated parties and renewable fuels
producers is broader under this final
rule for RFS2.
As with the RFS1 program, an attest
engagement must be conducted by an
individual who is a Certified Public
Accountant (CPA) or Certified Internal
Auditor (CIA), who is independent of
the party whose records are being
reviewed, and who will follow agreedupon procedures to determine whether
underlying records, reported items, and
transactions agree. The CPA or CIA will
generate a report as to their findings.
We have received numerous questions
and comments related to how attest
engagements apply to foreign companies
and whether or not a foreign accountant
may perform the required agreed-upon
procedures. EPA will accept an attest
engagement performed by a foreign
accountant who holds an equivalent
credential to an American CPA or CIA.
A written explanation as to the foreign
accountant’s qualifications and the
34 See ‘‘Regulation of Fuel and Fuel Additives:
Renewable Fuel Standard Program,’’ 72 FR 23900,
23949–23950 (May 1, 2007) for a detailed
discussion of attest engagement requirements under
RFS1.
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equivalency of the credential must
accompany the attest engagement.
Producers of renewable fuels,
obligated parties, exporters, and any
party who owns RINs must arrange for
an annual attest engagement. The attest
engagement report for any given year
must be submitted to EPA by no later
than May 31 of the following year.
Section 80.1464 of the regulations
specifies the attest engagement
procedures to be followed.
K. Production Outlook Reports
Under this program we are requiring
the submission, starting in 2010, of
annual production outlook reports from
all domestic renewable fuel producers,
foreign renewable fuel producers who
register to generate RINs, and importers
of renewable fuels. These production
outlook reports will be similar in nature
to the pre-compliance reports required
under the Highway and Nonroad Diesel
programs. These reports will contain
information about existing and planned
production capacity, long-range plans,
and feedstocks and production
processes to be used at each production
facility. For expanded production
capacity that is planned or underway at
each existing facility, or new production
facilities that are planned or underway,
the progress reports will require
information on: (1) Strategic planning;
(2) Planning and front-end engineering;
(3) Detailed engineering and permitting;
(4) Procurement and construction; (5)
Commissioning and startup; (6)
Projected volumes; (7) Contracts
currently in place (feedstocks, sales,
delivery, etc.); and (8) Whether or not
feedstocks have been purchased. The
first five project phases are described in
EPA’s June 2002 Highway Diesel
Progress Review report (EPA document
number EPA420–R–02–016, located at:
www.epa.gov/otaq/regs/hd2007/
420r02016.pdf). In the proposed rule,
we asked for comment on the first five
project phases, and whether or not they
were appropriate for renewable fuels
production. We also proposed
additional phases in order to provide
better specificity for ascertaining
industry status. EPA plans to use this
information in order to provide annual
summary reports regarding such
planned capacity.
The full list of requirements for the
production outlook reports is provided
in the regulations at § 80.1449. The
information submitted in the reports
will be used to evaluate the progress
that the industry is making towards the
renewable fuels volume goals mandated
by EISA. They will help EPA set the
annual cellulosic biofuel standard and
consider whether waivers would be
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appropriate with respect to the
advanced biofuel, biomass-based diesel,
and total renewable fuel standards (see
Section II.I of this preamble for more
discussion on this). Production outlook
reports will be due annually by March
31 (except that for the year 2010, the
report will be due September 1) and
each annual report must provide
projected information, including any
updated information from the previous
year’s report.
As mentioned in the preamble to the
proposed rule, EPA currently receives
data on projected flexible-fuel vehicle
(FFV) sales and conversions from
vehicle manufacturers. These are
helpful in providing EPA with
information regarding the potential
market for renewable fuels. We
requested comment on whether we
should require the annual submission of
data to facilitate our evaluation of the
ability of the distribution system to
deliver the projected volumes of
biofuels to petroleum terminals that are
needed to meet the RFS2 standards, the
extent to which such information is
already publicly available or can be
purchased from a proprietary source,
and the extent to which such publicly
available or purchasable data would be
sufficient for EPA to make its
determination. We further requested
comment on the parties that should be
required to report to EPA, and data
requirements. We believe that publicly
available information on E15, E85, and
other refueling facilities is sufficient for
us to make a determination about the
adequacy of such facilities to support
the projected volumes that would be
used to satisfy the RFS2 standards.
Therefore, we are not finalizing such a
requirement.
While we understand that the types of
projections we request in the Outlook
Reports could be somewhat speculative
in nature, we believe that the
projections will provide us with the
most reliable information possible to
inform the annual RFS standards and
waiver considerations. Further, we
believe this information will be more
useful to us than other public
information that is released in other
contexts (e.g., announcements for
marketing purposes). As mentioned
above in Section II.I, we believe that we
can use this information to supplement
other available information (such as
volume projections from EIA) to help set
the standard for the following year.
Specifically, it will provide more
accurate information for setting the
cellulosic biofuel and biomass-based
diesel standards, and any adjustments to
the advanced biofuel and total
renewable fuel standards.
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We received comments that both
support and oppose the Production
Outlook Reports, or some element of
them. One commenter stated that EPA
provided no reasonable explanation to
require the information being requested
for the reports; the commenter further
stated that such information is not
needed to assist parties to come into
compliance. Another commenter stated
that the renewable fuels industry cannot
confidently project what will happen in
2010, or even 2020, because there are
too many unknowns, no previous
history of renewable fuels mandates,
and no sense of continued tax rebate.
The commenter suggested that until the
industry operates for a few years under
the RFS2 carve-outs and the issues on
the tax rebates for renewables are
resolved, the industry cannot develop a
meaningful outlook forecast. The
commenter further suggested that EPA
instead hire a consultant who can look
at the big picture and provide a more
meaningful evaluation than could the
individual members of the biofuels
industry. However, as discussed above,
while these reports will have their
limitations, we believe they will provide
the best and most up to date information
available for us to use in setting the
standards and considering any waiver
requests. We will of course also look to
other publicly available information,
and may consider using contractors to
help out in this regard, but it cannot
replace the need for the production
outlook report data.
A commenter noted that this
provision is similar to reports required
under the diesel program. The
commenter further stated that if the
required information can be captured by
EMTS, the commenter fully supports
this requirement. However, the
commenter stated that it is opposed to
some of the required elements of the
reports for planned expanded or new
production (strategic planning, planning
and front-end engineering, detailed
engineering and permitting,
procurement and construction, and
commissioning and start-up); these are
an aspect of financial planning that the
commenter believes EPA has no
jurisdiction over and cannot derive
basis from EISA in any form regardless
of interpretation. As explained above,
this information will be used by EPA to
inform us for setting the standards on an
annual basis and in responding to any
waiver petitions. It will not be used to
assess compliance with the program.
The other provisions for registration,
recordkeeping and reporting serve that
purpose.
Another commenter stated that the
reports should be required, but that EPA
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should not rely too heavily upon the
data (particularly for new biofuel
technologies). Some commenters noted
that they believe that requiring
Production Outlook Reports is
duplicative in nature and/or a burden to
the industry. These commenters also
believe that EPA already receives such
information through the reporting that
currently exists, and that EPA could
also obtain this information from DOE’s
Energy Information Administration
(EIA) and the National Biodiesel Board
(NBB). Other commenters expressed
concern over reporting such
confidential and strategic information
(even as confidential business
information (CBI)), and that information
out to 2022 seems excessive and useless;
and that the reports should be limited
to just domestic and foreign producers
of renewable fuels but not importers (as
they tend to import renewable fuels
based on variable economic conditions
and will not likely have the ability to
reliably predict their future import
volumes). The information that
currently exists from other sources is
current and historical information. For
the purposes of setting future standards,
we need to have information on future
plans and projections. We understand
that reality will always be different from
the projections, but they will still give
us the best possible source of
information. Furthermore, by having
projections five years out into the
future, and then obtaining new reports
every year, we will be able to assess the
trends in the data and reports to better
utilize them over time.
Some commenters have expressed
concern that the information required
for Production Outlook Reports is not
needed, won’t provide useful
information because it is speculative, or
asks for information that could be
sensitive/confidential. However, we
continue to believe that such
information is essential to our annual
cellulosic biofuel standard setting, and
consideration of whether waivers
should be provided for other standards.
All information submitted to EPA will
be treated as confidential business
information (CBI), and if used by EPA
in a regulatory context will only be
reported out in very general terms. As
with our Diesel Pre-compliance Reports,
we fully expect that the information will
be somewhat speculative in the early
reports, and we will weight it
accordingly. As the program progresses,
however, information submitted for the
reports will continue to improve. We
believe that any information, whether
speculative or concrete, will be helpful
for the purposes described above. Thus
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we are finalizing Production Outlook
Reports, and the required elements at
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L. What Acts Are Prohibited and Who Is
Liable for Violations?
The prohibition and liability
provisions under this rule are similar to
those of the RFS1 program and other
fuels programs in 40 CFR part 80. The
rule identifies certain prohibited acts,
such as a failure to acquire sufficient
RINs to meet a party’s RVOs, producing
or importing a renewable fuel that is not
assigned a proper RIN category (or D
Code), improperly assigning RINs to
renewable fuel that was not produced
with renewable biomass, failing to
assign RINs to qualifying fuel, or
creating or transferring invalid RINs.
Any person subject to a prohibition is
liable for violating that prohibition.
Thus, for example, an obligated party is
liable if the party failed to acquire
sufficient RINs to meet its RVO. A party
who produces or imports renewable
fuels is liable for a failure to assign
proper RINs to qualifying batches of
renewable fuel produced or imported.
Any party, including an obligated party,
is liable for transferring a RIN that was
not properly identified.
In addition, any person who is subject
to an affirmative requirement under this
program is liable for a failure to comply
with the requirement. For example, an
obligated party is liable for a failure to
comply with the annual compliance
reporting requirements. A renewable
fuel producer or importer is liable for a
failure to comply with the applicable
batch reporting requirements. Any party
subject to recordkeeping or product
transfer document (PTD) requirements
is liable for a failure to comply with
these requirements. Like other EPA
fuels programs, this rule provides that a
party who causes another party to
violate a prohibition or fail to comply
with a requirement may also be found
liable for the violation.
EPAct amended the penalty and
injunction provisions in section 211(d)
of the Clean Air Act to apply to
violations of the renewable fuels
requirements in section 211(o).
Accordingly, any person who violates
any prohibition or requirement of this
rule is subject to civil penalties of up to
$37,500 per day and per each individual
violation, plus the amount of any
economic benefit or savings resulting
from each violation. Under this rule, a
failure to acquire sufficient RINs to meet
a party’s renewable fuels obligation
constitutes a separate day of violation
for each day the violation occurred
during the annual averaging period.
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As discussed above, the regulations
prohibit any party from creating or
transferring invalid RINs. These invalid
RIN provisions apply regardless of the
good faith belief of a party that the RINs
are valid. These enforcement provisions
are necessary to ensure the RFS2
program goals are not compromised by
illegal conduct in the creation and
transfer of RINs.
As in other motor vehicle fuel credit
programs, the regulations address the
consequences if an obligated party is
found to have used invalid RINs to
demonstrate compliance with its RVO.
In this situation, the obligated party that
used the invalid RINs will be required
to deduct any invalid RINs from its
compliance calculations. An obligated
party is liable for violating the standard
if the remaining number of valid RINs
was insufficient to meet its RVO, and
the obligated party might be subject to
monetary penalties if it used invalid
RINs in its compliance demonstration.
In determining what penalty is
appropriate, if any, we would consider
a number of factors, including whether
the obligated party did in fact procure
sufficient valid RINs to cover the deficit
created by the invalid RINs, and
whether the purchaser was indeed a
good faith purchaser based on an
investigation of the RIN transfer. A
penalty might include both the
economic benefit of using invalid RINs
and/or a gravity component.
Although an obligated party is liable
under our proposed program for a
violation if it used invalid RINs for
compliance purposes, we would
normally look first to the generator or
seller of the invalid RINs both for
payment of penalty and to procure
sufficient valid RINs to offset the invalid
RINs. However, if, for example, that
party was out of business, then attention
would turn to the obligated party who
would have to obtain sufficient valid
RINs to offset the invalid RINs.
III. Other Program Changes
In addition to the regulatory changes
we are finalizing today in response to
comments received on the proposed
rule and EISA (which are designed to
implement the provisions of RFS2),
there are a number of other changes to
the RFS program that we are making.
We believe that these changes will
increase flexibility, simplify
compliance, or address RIN transfer
issues that have arisen since the start of
the RFS1 program. Throughout the
rulemaking process, we also
investigated impacts on small
businesses and we are finalizing
provisions to address the impacts of the
program on them.
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A. The EPA Moderated Transaction
System (EMTS)
The EPA Moderated Transaction
System (EMTS) emerged as a result of
our experiences with and lessons
learned from implementing RFS1.
Recognizing that the addition of
significant volumes of renewable fuels
and expansion of renewable fuel
categories were adding complexity to an
already stressed system, EMTS was
introduced as a new approach for
managing RINs in our NPRM. We
received broad acceptance of the EMTS
concept in the public comments as well
as support for its expeditious
implementation. This section describes
the need for EMTS, implementation of
EMTS, and an explanation of how
EMTS will work. By implementing
EMTS, we believe that we will be able
to greatly reduce RIN-related errors
while efficiently and accurately
managing the universe of RINs. EMTS
will save considerable time and
resources for both industry and EPA.
This is most evident considering that
the system virtually eliminates multiple
sources of administrative errors,
resulting in a reduction of costs and
effort expended to correct and
regenerate product transfer documents,
documentation and recordkeeping, and
resubmitting reports to EPA. Use of
EMTS will result in fewer report
resubmissions and easier reporting for
industry, while leaving fewer reports to
be processed by EPA. Industry will
spend less time and effort validating the
RINs they procure with greater
assurance and confidence in the RIN
market. EPA will spend less time
tracking down invalid RINs and
working with regulated parties on
complex remedial actions. This is
possible because EMTS removes
management of the 38-digit RIN from
the hands of the reporting community.
At the same time, EPA and the reporting
community will be working with a
standardized system, reducing stresses
and development costs on IT systems.
We received comments suggesting
that EPA remove the attest engagement
requirements and certain recordkeeping
requirements due to the use of EMTS.
While we believe that EMTS will
simplify and reduce burdens on the
regulated community, it is important to
point out that EMTS is strictly a RIN
tracking and managing tool designed to
facilitate reporting under the Renewable
Fuel Standard program. Product transfer
documents are the commercial
documents used to memorialize
transactions of RINs between a buyer
and a seller in the market. The EMTS
will rely on references to these
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documents, which can take many forms,
but it is not capable of replacing those
documents. Attest engagements are used
to verify that the records required to be
kept by regulated parties, including
information retained by a regulated
party as well as information reported to
EPA such as laboratory test results,
contracts between renewable fuel/RIN
buyers and sellers, feedstock
documentation, etc. is correctly
maintained or reported. The information
reported via EMTS is but a subset of the
information required to be maintained
in a regulated party’s records, and both
PTDs and attest engagements are
necessary to ensure that the information
collected and tracked in EMTS concurs
with actual events.
1. Need for the EPA Moderated
Transaction System
In implementing RFS1, we found that
the 38-digit standardized RINs proved to
be confusing to many parties in the
distribution chain. Parties made various
errors in generating and using RINs. For
example, parties transposed digits
within the RIN and incorrectly
referenced volume numbering. Also,
parties created alphanumeric RINs,
despite the fact that RINs were
supposed to consist of all numbers.
Once an error is made within a RIN,
the error propagates throughout the
distribution system. Correcting an error
can require significant time and
resources and usually involves many
steps. Not only must reports to EPA be
corrected, underlying records and
reports reflecting RIN transactions must
also be located and corrected to reflect
discovery of an error. Because reporting
related to RIN transactions under RFS1
was only on a quarterly basis, a RIN
error could exist for several months
before being discovered.
Incorrect RINs are invalid RINs. If
parties in the distribution system cannot
track down and correct errors in a
timely manner, then all downstream
parties that traded the invalid RIN are
in violation. Because RINs are the basic
unit of compliance for the RFS program,
it is important that parties have
confidence when generating and using
them.
All parties in the RFS1 and the RFS2
regulated community are required to use
RINs. Under RFS2, we foresee that
regulated party community will
substantially expand. Newer regulated
parties of an already complex system
necessitate EMTS. These parties include
renewable fuel producers and importers,
obligated parties, exporters, and other
RIN owners; (typically marketers of
renewable fuels and blenders). Under
RFS1, all RINs were used to comply
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with a single standard. With RFS2, there
are four standards. RINs must be
generated to identify one of the fuel
categories: cellulosic biofuel, cellulosic
diesel, biomass-based diesel, advanced
biofuel, and renewable fuels (e.g., corn
ethanol). (For a more detailed
discussion of RINs, see Section II.A of
this preamble.) The different types of
RINs will be managed in the EMTS.
2. Implementation of the EPA
Moderated Transaction System
We proposed that EMTS would be an
opt-in for the calendar year 2010 and
mandatory for calendar year 2011. We
received many comments strongly
supporting EMTS implementation with
the start of the RFS2 program to ensure
confidence and simplicity in an
increasingly complex program. We also
received comments that EMTS
implementation with RFS2 is necessary
so industry would not have to create a
new system to handle RFS2 RINs for
2010 and then move to EMTS for 2011
while still handling RFS1 RINs.
Potentially, three RIN transaction
systems would exist during transition
from RFS1 to RFS2 if EMTS could not
be implemented with the start of the
RFS2 program. EPA agrees that this
three system issue would be an undue
burden to industry as it would require
industry to create two systems within a
12 month period. EMTS development
started with the introduction of the
NPRM, and has been in beta testing
since early November with a select
group of different industry stakeholders.
Industry feedback has been
overwhelmingly strong for the
implementation of EMTS with the start
of RFS2. With this final rule, EPA
decided that EMTS will start on the
same date when RFS2 RINs are required
to be generated. In addition, to ensure
that parties will have enough time to
incorporate RFS2 and EMTS
requirements into private RIN tracking
systems, the generation of RFS2 RINs
will begin on July 1, 2010. Therefore, all
RFS regulated parties are required to use
EMTS starting July 1, 2010.
RIN transactions are required to be
verified and certified on a quarterly
basis. EMTS will provide summaries for
parties to verify, report, and certify
transactions to EPA through the fuels
reporting system, DCFuels. Additional
information may be required to be
added to the EMTS provided summary.
This additional certification step allows
parties to verification that the
information sent to EMTS is accurate.
However, parties may choose to review
their data by checking their EMTS
account at anytime.
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With EMTS, RIN transactions are
required to be verified and certified on
a quarterly basis. EMTS will provide
summaries for parties to verify, report,
and certify transactions to EPA through
the fuels reporting system, DCFuels.
Additional information may be required
to be added to the EMTS provided
report. This additional certification step
allows parties to verify that the
information sent to EMTS is accurate.
However, parties may choose to review
their data by checking their EMTS
account at any time.
3. How EMTS Will Work
EMTS will be a closed, EPAmoderated system that provides a
mechanism for screening RINs and a
structured environment for conducting
RIN transactions. ‘‘Screening’’ of RINs
means that parties can have greater
confidence that the RINs they handle
are genuine. Although screening cannot
remove all human error, we believe it
can remove most of it.
We received comments opposing the
3 day time window for reporting
transactions to the EMTS. One
commenter requested 7 days from the
event for sellers to report a transaction
and 7 days after that for the buyer to
accept the transaction. In order for this
to be a ‘‘real time’’ system, we must
require that the information comes in a
timely manner. One commenter
requested 10 days from the event to
send information to EMTS. EPA has
concluded that five days, or a business
week, is an appropriate amount of time
for both parties to receive or provide
necessary documentation in order to
interact with EMTS accurately and
timely. ‘‘Real time’’ will be defined as
within five (5) business days of a
reportable event (e.g., generation and
assignment of RINs, transfer of RINs).
Parties who use EMTS must first
register with EPA in accordance with
the RFS2 registration program described
in Section II.C of this preamble. Parties
will also have to create an account (i.e.,
register) via EPA’s Central Data
Exchange (CDX), as users will access
EMTS via CDX. CDX is a secure and
central electronic portal through which
parties may submit compliance reports.
Parties must establish an account with
EMTS by July 1, 2010 or 60 days prior
to engaging in any transaction involving
RINs, whichever is later. Once
registration occurs, individual accounts
will be established within EMTS and
the system will enable a party to submit
transactions based on their registration
information.
In EMTS, the screening and
assignment of RINs will be made at the
logical point, i.e., the point when RINs
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are generated through production or
importation of renewable fuel. A
renewable producer will electronically
submit, in ‘‘real time,’’ a volume of
renewable fuel produced or imported, as
well as a number of the RINs generated
and assigned. EMTS will automatically
screen each batch and either reject the
information or allow RINs created in the
RIN generator’s account as one of the
five types of RINs.
We received comments supporting the
RFS1 approach that allows producers
and importers to generate RINs at the
renewable fuel point of sale. EPA
realizes that this is an industry practice
and this flexibility will still be allowed
for RIN generators, but only if applied
consistently.
After RINs have entered the system,
parties may then trade them based on
agreements outside of EMTS. One major
advantage of EMTS, over the RFS1
system, is that the system will simplify
trading by allowing RINs to be traded
generically. Only some specifying
information will be needed to trade
RINs, such as RIN quantity, fuel type,
RIN assignment, RIN year, RIN price or
price per gallon. The unique
identification of the RIN will exist
within EMTS, but parties engaging in
RIN transactions will no longer have to
worry about incorrectly recording or
using 38-digit RIN numbers. The actual
items of transactional information
covered under RFS2 are very similar to
those reported under RFS1. The RIN
price is one of the new pieces of
transactional information required to be
submitted under RFS2.
We received several adverse
comments strongly opposing the
collection of price information due to
Confidential Business Information (CBI)
concerns, other services being able to
provide this information, marketplace
delays and undue stress on the EMTS
from disagreements in RIN price. We
received one comment strongly
supporting EPA collecting this
information. EPA decided that the price
information has great programmatic
value because it will help us anticipate
and appropriately react to market
disruptions and other compliance
challenges, assess and develop
responses to potential waivers, and
assist in setting future renewable fuel
standards. In addition, EPA decided that
highly summarized price information
(e.g., the average price of RINs traded
nationwide) may be valuable to
regulated parties, as well, and may help
them to anticipate and avoid market
disruptions. Also, EPA will not require
the matching of the exact RIN price to
alleviate the burden of resubmission
due to price mistakes. However, the
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price information must be accurate and
rounded to the nearest cent (U.S. Dollar)
at the time of sending the transactional
information to EMTS.
We received one comment requesting
publication of security precautions
taken by EPA to protect EMTS from
attacks. EPA cannot provide security
information to the public because
providing such information may create
security vulnerabilities. However, EMTS
will be compliant with the appropriate
security requirements for all federal
agency information technology systems.
Also as with RFS1, there is no ‘‘good
faith’’ provision to RIN ownership. An
underlying principle of RIN ownership
is still one of ‘‘buyer beware’’ and RINs
may be prohibited from use at any time
if they are found to be invalid. Because
of the ‘‘buyer beware’’ aspect, we will
offer the option for a buyer to accept or
reject RINs from specific RIN generators
or from classes of RIN generators.
4. A Sample EMTS Transaction
This sample illustrates how two
parties may trade RINs in EMTS:
(1) Seller logs into EMTS and posts a
sale of 10,000 RINs to Buyer at X price.
For this example, assume the RINs were
generated in 2010 and were assigned to
10,000 gallons of ‘‘Renewable fuel
(D=6)’’. Seller’s RIN account for
‘‘Renewable fuel (D=6)’’ is put into a
‘‘pending’’ status of 10,000 with the
posting of the sale to Buyer. Buyer
receives automatic notification of the
pending transaction.
(2) Buyer logs into EMTS. Buyer sees
the sale transaction pending. Assuming
it is correct, Buyer accepts it. Upon
acceptance, Buyer’s RIN account for
‘‘Renewable fuel (D=6)’’ RINs is
automatically increased by 10,000 2010
assigned RINs sold at X price.
(3) After Seller has posted the sale
and Buyer has accepted it, EMTS
automatically notifies both Buyer and
Seller that the transaction has been fully
completed.
Under EMTS, the seller will always
have to initiate any transaction. The
specific amount of RINs are put into a
pending status when the seller posts the
sale. The buyer must confirm the sale in
order to have the RINs transferred to the
buyer’s account. Transactions will
always be limited to available RINs.
Notification will automatically be sent
to both the buyer and the seller upon
completion of the transaction. EPA
considers any sale or transfer as
complete upon acknowledgement by the
buyer. We will also allow buyers to
submit their acknowledgement prior to
a seller initiating the transaction.
However, these buy transactions will
not initiate any RINs being put into a
pending status from a seller’s account.
Instead, the buy transactions will be
queued and checked periodically to see
if a ‘‘sell’’ transaction was posted by the
seller. If a buy is posted without a
matching sell transaction, then the seller
will be notified that a buy transaction is
pending. Both buy and sell transactions
must be matched within a set number of
days from the submission date or they
will expire. Transactions will expire 7
days after the submission of the file.
Since both parties are required to
submit information within 5 days, we
allow the full 5 days to expire plus 2
days in the case of late submissions.
In summary, the advantage to
implementing EMTS is that parties may
engage in RIN transactions with a high
degree of confidence, errors will be
virtually eliminated, and everyone
engaging in RIN transactions will have
a simplified environment in which to
work, which should minimize the level
of resources needed for implementation.
B. Upward Delegation of RIN-Separating
Responsibilities
Since the start of the RFS program on
September 1, 2007, there have been a
number of instances in which a party
who receives RINs with a volume of
renewable fuel is required to either
separate or retire those RINs, but views
the recordkeeping and reporting
requirements under the RFS program as
an unnecessary burden. Such
circumstances typically might involve a
renewable fuel blender, a party that uses
renewable fuel in its neat form, or a
party that uses renewable fuel in a nonhighway application and is therefore
required to retire the RINs (under RFS1)
associated with the volume. In some of
these cases, the affected party may
purchase and/or use only small volumes
of renewable fuel and, absent the RFS
program, would be subject to few (if any
other) EPA regulations governing fuels.
This situation will become more
prevalent with the RFS2 rule, as EISA
added diesel fuel to the RFS program.
With the RFS1 rule, small blenders
(generally farmers and other parties that
use nonroad diesel fuel) blending small
amounts of biodiesel were not covered
under the rule as EPAct mandated
renewable fuel blending for highway
gasoline only. EISA mandates certain
amounts of renewable fuels to be
blended into all transportation fuels—
which includes highway and nonroad
diesel fuel. Thus, parties that were not
regulated under the RFS1 rule who only
blend a small amount of renewable fuel
(and, as mentioned above, are generally
not subject to EPA fuels regulations)
will now be regulated by the RFS
program.
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Consequently, we believe it is
appropriate, and thus we are finalizing
as proposed, to permit blenders who
only blend a small amount of renewable
fuel to allow the party directly upstream
to separate RINs on their behalf. Such a
provision is consistent with the fact that
the RFS program already allows
marketers of renewable fuels to assign
more RINs to some of their sold product
and no RINs to the rest of their sold
product. We believe that this provision
will eliminate undue burden on small
parties who would otherwise not be
regulated by this program. This
provision is solely for the case of
blenders who blend and trade less than
125,000 total gallons of renewable fuel
per year (i.e., a company that blends
100,000 gallons and trades another
100,000 gallons would not be able to use
this provision) and is available to any
blender who must separate RINs from a
volume of renewable fuel under
§ 80.1429(b)(2).
We requested comment in the NPRM
on this concept, the 125,000 gallon
threshold, and appropriate
documentation to authorize this upward
delegation. In general, those that
commented on this provision support
the idea of upward delegation for small
blenders, though one commenter stated
that EPA should not allow small entities
to delegate their RIN-related
responsibilities upward. Those
commenters that support the upward
delegation provision stated that it
should be limited to small blenders only
and should only be for delegating to the
party directly upstream. A few
commenters stated that they believe the
125,000 gallon threshold is appropriate;
while others commented that it should
be higher. We believe that the 125,000
gallon limit strikes the correct balance
between providing relief to small
blenders, while still ensuring that nonobligated parties cannot unduly
influence the RIN market.
We did not receive any comments on
appropriate documentation, however a
couple commenters suggested that we
retain the proposed annual
authorization between the blender and
the party directly upstream, as well as
allowing a small blender to enter into
arrangements with multiple suppliers
on a transaction-by-transaction basis.
Please see Chapter 5 of the Summary
and Analysis of Comments Document
for more discussion on the comments
received and our responses to those
comments.
We are also finalizing, as stated in the
preamble to the proposed rule, that for
upstream delegation, both parties must
sign a quarterly written statement
(which must be included with the
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reporting party’s reports) authorizing
the upward delegation. Copies of these
statements must be retained as records
by both parties. The supplier would
then be allowed to retain ownership of
RINs assigned to a volume of renewable
fuel when that volume is transferred,
under the condition that the RINs be
separated or retired concurrently with
the transfer of the volume. This
statement would apply to all volumes of
renewable fuel transferred between the
two parties. Thus, the two parties would
enter into a contract stating that the
supplier has RIN-separation
responsibilities for all transferred
volumes between the two parties, and
no additional permissions from the
small blender would be needed for any
volumes transferred. A blender may
enter into such an agreement with as
many parties as they wish.
C. Small Producer Exemption
Under the RFS1 rule, parties who
produce or import less than 10,000
gallons of renewable fuel in a year are
not required to generate RINs for that
volume, and are not required to register
with the EPA if they do not take
ownership of RINs generated by other
parties. These producers and importers
are also exempt from registration,
reporting, recordkeeping, and attest
engagement requirements. In the
preamble to the proposed rule, we
requested comment on whether or not
this 10,000 gallon threshold was
appropriate. One commenter suggested
that we retain the 10,000 gallon
threshold as-is. Another commenter
supported the concept of less
burdensome requirements for small
producers, but suggested that these
entities should, at a minimum, be
required to generate RINs for all
qualifying renewables. We are
maintaining this exemption under the
RFS2 rule for parties who produce or
import less than 10,000 gallons of
renewable fuel per year.
In addition to the permanent
exemption for those producers and
importers who produce or import less
than 10,000 gallons of renewable fuel
per year, we are also finalizing a
temporary exemption for renewable fuel
producers who produce less than
125,000 gallons of renewable fuel each
year from new production facilities.
These producers are not required to
generate and assign RINs to batches of
renewable fuel for a period of up to
three years, beginning with the calendar
year in which the production facility
produces its first gallon of renewable
fuel. Such producers are also exempt
from registration, reporting,
recordkeeping, and attest engagement
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requirements as long as they do not own
RINs or voluntarily generate and assign
RINs. This provision is intended to
allow pilot and demonstration plants of
new renewable fuel technologies to
focus on developing the technology and
obtaining financing during these early
stages of their development without
having to comply with the RFS2
regulations.
D. 20% Rollover Cap
EISA does not change the language in
CAA section 211(o)(5) stating that
renewable fuel credits must be valid for
showing compliance for 12 months as of
the date of generation. As discussed in
the RFS1 final rulemaking, we
interpreted the statute such that credits
would represent renewable fuel
volumes in excess of what an obligated
party needs to meet their annual
compliance obligation. Given that the
renewable fuel standard is an annual
standard, obligated parties determine
compliance shortly after the end of the
year, and credits would be identified at
that time. In the context of our RINbased program, we have accomplished
the statute’s objective by allowing RINs
to be used to show compliance for the
year in which the renewable fuel was
produced and its associated RIN first
generated, or for the following year.
RINs not used for compliance purposes
in the year in which they were
generated will by definition be in excess
of the RINs needed by obligated parties
in that year, making excess RINs
equivalent to the credits referred to in
section 211(o)(5). Excess RINs are valid
for compliance purposes in the year
following the one in which they initially
came into existence. RINs not used
within their valid life will thereafter
cease to be valid for compliance
purposes.
In the RFS1 final rulemaking, we also
discussed the potential ‘‘rollover’’ of
excess RINs over multiple years. This
can occur in situations wherein the total
number of RINs generated each year for
a number of years in a row exceeds the
number of RINs required under the RFS
program for those years. The excess
RINs generated in one year could be
used to show compliance in the next
year, leading to the generation of new
excess RINs in the next year, causing the
total number of excess RINs in the
market to accumulate over multiple
years despite the limit on RIN life.
When renewable fuel volumes are being
produced that exceed the RFS2
standards, the rollover issue could
undermine the ability of a limit on
credit life to guarantee an ongoing
market for renewable fuels.
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To implement EISA’s restriction on
the life of credits and address the
rollover issue, the RFS1 final
rulemaking implemented a 20% cap on
the amount of an obligated party’s RVO
that can be met using previous-year
RINs. Thus each obligated party is
required to use current-year RINs to
meet at least 80% of its RVO, with a
maximum of 20% being derived from
previous-year RINs. Any previous-year
RINs that an obligated party may have
that are in excess of the 20% cap can be
traded to other obligated parties that
need them. If the previous-year RINs in
excess of the 20% cap are not used by
any obligated party for compliance, they
will thereafter cease to be valid for
compliance purposes.
As described in the NPRM, EISA does
not modify the statutory provisions
regarding credit life, and the volume
changes by EISA also do not change at
least the possibility of large rollovers of
RINs for individual obligated parties. As
a result we proposed to maintain the
regulatory requirement for a 20%
rollover cap under the new RFS2
program, and to apply this cap
separately to all four RVOs under RFS2.
However, we took comment on
changing the level of the cap to some
alternative value lower or higher than
20%.
A lower cap could provide a greater
incentive for parties with excess RINs to
sell them rather than hold onto them,
increasing the availability of RINs for
parties that need them for compliance
purposes. But a lower cap would also
reduce flexibility for obligated parties
attempting to minimize the costs of
compliance with increasing annual
volume requirements, particularly if
there are concerns that the RIN market
may be tighter in the future than it is
currently.
Conversely, the increasing annual
volume requirements in EISA make it
less likely that renewable fuel producers
will overcomply, and as a result it is
less likely that there will be an excess
of RINs in the market. Under these
circumstances, there is little
opportunity for RINs to build up in the
market, and the rollover cap would have
less of an impact on the market as a
whole. Thus a higher cap might be
warranted. However, while a higher cap
would create greater flexibility for some
obligated parties, it could also create
disruptions in the RIN market as parties
with excess RINs would have a greater
opportunity to hold onto them rather
than sell them. Parties without direct
access to RINs through the purchase and
blending of renewable fuels would be
placed at a competitive disadvantage in
comparison to parties with excess RINs.
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In the extreme, removal of the cap
entirely would allow obligated parties to
roll over up to one year’s worth of their
obligations indefinitely.
In general, commenters on the NPRM
reiterated the positions that they raised
during development of the RFS1
program. While one renewable fuel
producer requested that the rollover cap
be left at 20%, most producers
requested that the rollover cap be
reduced to 0%, such that compliance
with the standards applicable in a given
year could only be demonstrated using
RINs generated in that year. In contrast,
refiners requested that the rollover cap
be either eliminated, such that any
number of previous year RINs could be
used for current year compliance, or at
least raised to 40 or 50 percent. Small
refiners requested that the cap be raised
for small refiners only to accommodate
the competitive disadvantage with
respect to the RIN market that they
believe they experience in comparison
to larger refiners.
Based on the comments received, we
believe that the 20% level continues to
provide the appropriate balance
between, on the one hand, allowing
legitimate RIN carryovers and protecting
against potential supply shortfalls that
could limit the availability of RINs, and
on the other hand ensuring an annual
demand for renewable fuels as
envisioned by EISA. Therefore, we are
continuing the 20% rollover cap for
obligated parties for the RFS program.
E. Small Refinery and Small Refiner
Flexibilities
This section discusses flexibilities for
small refineries and small refiners for
the RFS2 rule. As explained in the
discussion of our compliance with the
Regulatory Flexibility Act below in
Section XI.C and in the Final Regulatory
Flexibility Analysis in Chapter 7 of the
RIA, we considered the impacts of the
RFS2 regulations on small businesses
(small refiners). Most of our analysis of
small business impacts was performed
as a part of the work of the Small
Business Advocacy Review Panel
(SBAR Panel, or ‘‘the Panel’’) convened
by EPA for this rule, pursuant to the
Regulatory Flexibility Act as amended
by the Small Business Regulatory
Enforcement Fairness Act of 1996
(SBREFA). The Final Report of the Panel
is available in the rulemaking docket.
For the SBREFA process, we conducted
outreach, fact-finding, and analysis of
the potential impacts of our regulations
on small business refiners.
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1. Background—RFS1
a. Small Refinery Exemption
CAA section 211(o)(9), enacted as part
of EPAct, provides a temporary
exemption to small refineries (those
refineries with a crude throughput of no
more than 75,000 barrels of crude per
day, as defined in section 211(o)(1)(K))
through December 31, 2010.35
Accordingly, the RFS1 program
regulations exempt gasoline produced
by small refineries from the renewable
fuels standard (unless the exemption
was waived), see 40 CFR 80.1141. EISA
did not alter the small refinery
exemption in any way.
b. Small Refiner Exemption
As mentioned above, EPAct granted a
temporary exemption from the RFS
program to small refineries through
December 31, 2010. In the RFS1 final
rule, we exercised our discretion under
section 211(o)(3)(B) and extended this
temporary exemption to the few
remaining small refiners that met the
Small Business Administration’s (SBA)
definition of a small business (1,500
employees or less company-wide) but
did not meet the EPAct small refinery
definition as noted above.
2. Statutory Options for Extending
Relief
There are two provisions in section
211(o)(9) that allow for an extension of
the temporary exemption for small
refineries beyond December 31, 2010.
One provision involves a study by the
Department of Energy (DOE) concerning
whether compliance with the renewable
fuel requirements would impose
disproportionate economic hardship on
small refineries, and would grant an
automatic extension of at least two years
for small refineries that DOE determines
would be subject to such
disproportionate hardship (per section
211(o)(9)(A)(ii)). If the DOE study
determines that such hardship exists,
then section 211(o)(9)(A)(ii) (which was
retained in EISA) provides that EPA
shall extend the exemption for a period
of at least two years.
The second provision, at section
211(o)(9)(B), authorizes EPA to grant an
extension for a small refinery based
upon disproportionate economic
hardship, on a case-by-case basis. A
small refinery may, at any time, petition
EPA for an extension of the small
refinery exemption on the basis of
disproportionate economic hardship.
EPA is to consult with DOE and
consider the findings of the DOE small
35 Small refineries are also allowed to waive this
exemption.
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refinery study in evaluating such
petitions. These petitions may be filed
at any time, and EPA has discretion to
determine the length of any exemption
that may be granted in response.
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3. The DOE Study/DOE Study Results
As discussed above, EPAct required
that DOE perform a study by December
31, 2008 on the impact of the renewable
fuel requirements on small refineries
(section 211(o)(9)(A)(ii)(I)), and whether
or not the requirements would impose
a disproportionate economic hardship
on these refineries. In the small refinery
study, ‘‘EPACT 2005 Section 1501 Small
Refineries Exemption Study,’’ DOE’s
finding was that there is no reason to
believe that any small refinery would be
disproportionately harmed by inclusion
in the proposed RFS2 program. This
finding was based on the fact that there
appeared to be no shortage of RINs
available under RFS1, and EISA has
provided flexibility through waiver
authority (per section 211(o)(7)).
Further, in the case of the cellulosic
biofuel standard, cellulosic biofuel
allowances can be provided from EPA at
prices established in EISA (see
regulation section 80.1456). DOE thus
determined that small refineries would
not be subject to disproportionate
economic hardship under the proposed
RFS2 program, and that the exemption
should not, on the basis of the study, be
extended for small refineries (including
those small refiners who own refineries
meeting the small refinery definition)
beyond December 31, 2010. DOE noted
in the study that, if circumstances were
to change and/or the RIN market were
to become non-competitive or illiquid,
individual small refineries have the
ability to petition EPA for an extension
of their small refinery exemption
(pursuant to Section 211(o)(9)(B)).
4. Ability To Grant Relief Beyond
211(o)(9)
The SBREFA panel made a number of
recommendations for regulatory relief
and additional flexibility for small
refineries and small refiners. These are
described in the Final Panel Report
(located in the rulemaking docket), and
summarized below. During the
development of this final rule, we again
evaluated the various options
recommended by the Panel and also
comments on the proposed rule. We
also consulted the small refinery study
prepared by DOE.
As described in the Final Panel
Report, EPA early-on identified
limitations on its authority to issue
additional flexibility and exemptions to
small refineries. In section 211(o)(9)
Congress specifically addressed the
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issue of an extension of time for
compliance for small refineries,
temporarily exempting them from
renewable fuel obligations through
December 31, 2010. As discussed above,
the statute also includes two specific
provisions describing the basis and
manner in which further extensions of
this exemption can be provided. In the
RFS1 rulemaking, EPA considered
whether it should provide additional
relief to the limited number of small
refiners who were not covered by the
small refinery provision, by providing
them a temporary exemption consistent
with that provided by Congress for
small refineries. EPA exercised its
discretion under section 211(o)(3) and
provided such relief. Thus, in RFS1,
EPA did not modify the relief provided
by Congress for small refineries, but did
exercise its discretion to provide the
same relief specified by statute to a few
additional parties.
In RFS2 we are faced with a different
issue—the extent to which EPA should
provide additional relief to small
refineries beyond the relief specified by
statute, and whether it should provide
such further relief to small refiners as
well. There is considerable overlap
between entities that are small refineries
and those that are small refiners.
Providing additional relief just to small
refiners would, therefore, also extend
additional relief to at least a number of
small refineries. Congress spoke directly
to the relief that EPA may provide for
small refineries, including those small
refineries operated by small refiners,
and limited that relief to a blanket
exemption through December 31, 2010,
with additional extensions if the criteria
specified by Congress are met. EPA
believes that an additional or different
extension, relying on a more general
provision in section 211(o)(3) would be
inconsistent with Congressional intent.
Further, we do not believe that the
statute allows us the discretion to give
relief to small refiners only—as this
would result in a subset of small
refineries (those that also qualify as
small refiners) receiving relief that is
greater than the relief already given to
all small refineries under EISA.
EPA also notes that the criteria
specified by statute for providing a
further compliance extension to small
refineries is a demonstration of
‘‘disproportionate economic hardship.’’
The statute provides that such hardship
can be identified through the DOE
study, or in individual petitions
submitted to the Agency. However, the
DOE study has concluded that no
disproportionate economic hardship
exists, at least under current conditions
and for the foreseeable future under
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RFS2. Therefore, absent further
information that may be provided
through the petition process, there does
not currently appear to be a basis under
the statute for granting further
compliance extensions to small
refineries. If DOE revises its study and
comes to a different conclusion, EPA
can revisit this issue.
5. Congress-Requested Revised DOE
Study
In their written comments, as well as
in discussions we had with them on the
proposed rule, small refiners indicated
that they did not believe that EPA
should rely on the results of the DOE
small refinery study to inform any
decisions on small refiner provisions.
Small refiners generally commented that
they believe that the study was flawed
and that the conclusions of the study
were reached without adequate analysis
of, or outreach with, small refineries (as
the majority of the small refiners own
refineries that meet the Congressional
small refinery definition). One
commenter stated that such a limited
investigation into the impact on small
refineries could not have resulted in any
in-depth analysis on the economic
impacts of the program on these entities.
Another commenter stated that it
believes that DOE should be directed to
reopen and reassess the small refinery
study be June 30, 2010, as suggested by
the Senate Appropriations Committee.
We are aware that there have been
expressions of concern from Congress
regarding the DOE Study. Specifically,
in Senate Report 111–45, the Senate
Appropriations Committee ‘‘directed
[DOE] to reopen and reassess the Small
Refineries Exemption Study by June 30,
2010,’’ noting a number of factors that
the Committee intended that DOE
consider in the revised study. The Final
Conference Report 111–278 to the
Energy & Water Development
Appropriations Act (H.R. 3183),
referenced the language in the Senate
Report, noting that the conferees
‘‘support the study requested by the
Senate on RFS and expect the
Department to undertake the requested
economic review.’’ At the present time,
however, the DOE study has not been
revised. If DOE prepares a revised study
and the revised study finds that there is
a disproportionate economic impact, we
will revisit the exemption extension at
that point in accordance with section
211(o)(9)(A)(ii).
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6. What We’re Finalizing
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a. Small Refinery and Small Refiner
Temporary Exemptions
As mentioned above, the RFS1
program regulations exempt gasoline
produced by small refineries from the
renewable fuels standard through
December 31, 2010 (at 40 CFR 80.1141),
per EPAct. As EISA did not alter the
small refinery exemption in any way,
we are retaining this small refinery
temporary exemption in the RFS2
program without change (except for the
fact that all transportation fuel produced
by small refineries will be exempt, as
EISA also covers diesel and nonroad
fuels).
Likewise, as we extended under RFS1
the small refinery temporary exemption
to the few remaining small refiners that
met the Small Business
Administration’s (SBA) definition of a
small business (1,500 employees or less
company-wide), we are also finalizing a
continuation of the small refiner
temporary exemption through December
31, 2010.
b. Case-by-Case Hardship for Small
Refineries and Small Refiners
As discussed in Section III.E.2, EPAct
also authorizes EPA to grant an
extension for a small refinery based
upon disproportionate economic
hardship, on a case-by-case basis. We
believe that these avenues of relief can
and should be fully explored by small
refiners who are covered by the small
refinery provision. In addition, we
believe that it is appropriate to allow
petitions to EPA for an extension of the
temporary exemption based on
disproportionate economic hardship for
those small refiners who are not covered
by the small refinery provision (again,
per our discretion under section
211(o)(3)(B)); this would ensure that all
small refiners have the same relief
available to them as small refineries do.
Thus, we are finalizing a hardship
provision for small refineries in the
RFS2 program, that any small refinery
may apply for a case-by-case hardship at
any time on the basis of
disproportionate economic hardship per
CAA section 211(o)(9)(B). We are also
finalizing a case-by-case hardship
provision for those small refiners that
do not operate small refineries using our
discretion under CAA section
211(o)(3)(B). This provision will allow
those small refiners that do not operate
small refineries to apply for the same
kind of hardship extension as a small
refinery. In evaluating applications for
this hardship provision EPA will take
into consideration information gathered
from annual reports and RIN system
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progress updates, as recommended by
the SBAR Panel, as well as information
provided by the petitioner and through
consultation with DOE.
c. Program Review
During the SBREFA process, the small
refiner Small Entity Representatives
(SERs) also requested that EPA perform
an annual program review, to begin one
year before small refiners are required to
comply with the program, to provide
information on RIN system progress. As
mentioned in the preamble to the
proposed rule, we were concerned that
such a review could lead to some
redundancy with the notice of the
applicable RFS standards that EPA will
publish in the Federal Register
annually, and this annual process will
inevitably include an evaluation of the
projected availability of renewable fuels.
Nevertheless, some Panel members
commented that they believe a program
review could be beneficial to small
entities in providing them some insight
to the RFS program’s progress and
alleviate some uncertainty regarding the
RIN system. As we will be publishing a
Federal Register notice annually, the
Panel recommended, and we proposed,
that an update of RIN system progress
(e.g., RIN trading, publicly-available
information on RIN availability, etc.) be
included in this annual notice.
Based on comments received on the
proposed rule, we believe that such
information could be helpful to
industry, especially to small businesses
to help aid the proper functioning of the
RIN market, especially in the first years
of the program. However, during the
development of the final rule, it became
evident that there could be instances
where we would want to report out RIN
system information on a more frequent
basis than just once a year. Thus we are
finalizing that we will periodically
report out elements of RIN system
progress; but such information will be
reported via other means (e.g., the RFS
Web site (https://www.epa.gov/otaq/
renewablefuels/index.htm), EMTS
homepage, etc.).
7. Other Flexibilities Considered for
Small Refiners
During the SBREFA process, and in
their comments on the proposed rule,
small refiners informed us that they
would need to rely heavily on RINs and/
or make capital improvements to
comply with the RFS2 requirements.
These refiners raised concerns about the
RIN program itself, uncertainty (with
the required renewable fuel volumes,
RIN availability, and costs), the desire
for an annual RIN system review, and
the difficulty in raising capital and
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14737
competing for engineering resources to
make capital improvements.
The Panel recommended that EPA
consider the issues raised by the small
refiner SERs and discussions had by the
Panel itself, and that EPA should
consider comments on flexibility
alternatives that would help to mitigate
negative impacts on small businesses to
the extent allowable by the Clean Air
Act. A summary of further
recommendations of the Panel are
discussed in Section XI.C of this
preamble, and a full discussion of the
regulatory alternatives discussed and
recommended by the Panel can be
found in the SBREFA Final Panel
Report. Also, a complete discussion of
comments received on the proposed
rule regarding small refinery and small
refiner flexibilities can be found in
Chapter 5 of the Summary and Analysis
of Comments document.
a. Extensions of the RFS1 Temporary
Exemption for Small Refiners
As previously stated, the RFS1
program regulations provide small
refiners who operate small refineries, as
well as those small refiners who do not
operate small refineries, with a
temporary exemption from the
standards through December 31, 2010.
This provided an exemption for small
refineries (and small refiners) for the
first five years of the RFS program.
Small refiner SERs suggested that an
additional temporary exemption for the
RFS2 program would be beneficial to
them in meeting the RFS standards as
increased by Congress in EISA. The
Panel recommended that EPA propose a
delay in the effective date of the
standards until 2014 (for a total of eight
years) for small entities, to the extent
allowed by the statute.
During the development of both the
Final Panel Report and the proposed
rule, we evaluated various options for
small refiners, including an additional
temporary exemption for small refiners
from the required RFS2 standards. As
discussed above, we concluded that we
do not have the statutory authority to
provide such extensions through means
other than those specified in the statute.
Thus, further extensions will be as a
result of any revised DOE study, or in
response to a petition, pursuant to the
authorities specified in section
211(o)(9).
We proposed to continue the
temporary exemption finalized in
RFS1—through December 31, 2010.
Commenters that oppose an extension of
the temporary exemption generally
stated that an extension is not
warranted, and some commenters
expressed concerns about allowing
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provisions for small refiners. One
commenter also stated that it believes
that the small refinery exemption
should not be extended and that the
small refiner exemption should be
eliminated completely. Two
commenters supported the continuation
of the exemption through December 31,
2010 only, and one stated that it does
not support an extension as it believes
that all parties have been well aware of
the passage of EISA and small refineries
and small refiners should have been
striving to achieve compliance by the
end of 2010. Two commenters also
expressed views that the exemption
should not have been offered to small
refiners in RFS1 as this was not
provided by EPAct, and that an
extension of the exemption should not
be finalized for small refineries at all.
The commenters further commented
that an economic hardship provision
was included in EPAct, and any
exemption extension should be limited
to such cases, and only to the specific
small refinery (not small refiner) that
has petitioned for such an extension.
Commenters supporting an extension
of the exemption commented that they
believe that the statutes (EPAct and
EISA) do not prohibit EPA from
providing relief to regulated small
entities on which the rule will have a
significant economic impact, and that
such a delay could lessen the burden on
these entities. One commenter stated
that it believes EPA denied or ignored
much of the relief recommended by the
Panel in the proposal. Another
commenter stated that it believes EPA’s
concerns regarding the legal authority
are unsustainable considering EPA’s
past exercises of discretion under the
RFS1 program, and with the discretion
afforded to EPA under section 211(o) of
the CAA. Some commenters requested a
delay until 2014 for small refiners. One
additional commenter expressed
support for an extension of the small
refinery exemption only, and that these
small refineries should be granted a
permanent exemption.
During the development of this final
rule, we again evaluated the various
options recommended by the Panel, the
legality of offering an extension of the
exemption to small refiners only, and
also comments on the proposed rule.
Specifically in the case of an extension
of the exemption for small refiners, we
also consulted the small refinery study
prepared by DOE, as the statute directs
us to use this as a basis for providing an
additional two year exemption. As
discussed above in Sections III.E.4 and
5, we do not believe that we can provide
an extension of the exemption
considering the outcome of the DOE
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small refinery study, which did not find
that there was a disproportionate
economic hardship. Further, we do not
believe that the statute allows us the
discretion to give relief to a subset of
small refineries (those that also qualify
as small refiners) that is greater than the
relief already given to all small
refineries under EPAct. However, it is
important to recognize that the 211(o)(9)
small refinery provision does allow for
extensions beyond December 31, 2010,
as discussed above in Section III.E.2.
Thus, refiners may apply for individual
hardship relief.
b. Phase-in
The small refiner SERs suggested that
a phase-in of the obligations applicable
to small refiners would be beneficial for
compliance, such that small refiners
would comply by gradually meeting the
standards on an incremental basis over
a period of time, after which point they
would comply fully with the RFS2
standards. However we stated in the
NPRM that we had serious concerns
about our legal authority to provide
such a phase-in. CAA section
211(o)(3)(B) states that the renewable
fuel obligation shall ‘‘consist of a single
applicable percentage that applies to all
categories of persons specified’’ as
obligated parties. A phase-in approach
would essentially result in different
applicable percentages being applied to
different obligated parties. Further, such
a phase-in approach would provide
more relief to small refineries operated
by small refiners than that provided
under the statutory small refinery
provisions.
Some commenters stated that they
believe that EPA has the ability to
consider a phase-in of the standards for
small refiners. One commenter
suggested that a temporary phase-in
could help lessen the burden of
regulation on small entities and promote
compliance. Another commenter stated
that it believes EPA’s legal concerns
regarding a phase-in are unsustainable
considering EPA’s past exercises of
discretion under the RFS1 program and
with the discretion afforded to EPA
under section 211(o) of the CAA.
After considering the comments on
this issue, EPA continues to believe that
allowing a phase-in of regulatory
requirements for small refineries and/or
small refiners would be inconsistent
with the statute, for the reasons
mentioned above. Any individual
entities that are experiencing hardship
that could justify a phase-in of the
standards have the ability to petition
EPA for individualized relief. Therefore
we are not including a phase-in of
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standards for small refiners in today’s
rule.
c. RIN-Related Flexibilities
The small refiner SERs requested that
the RFS2 rule contain provisions for
small refiners related to the RIN system,
such as flexibilities in the RIN rollover
cap percentage and allowing small
refiners only to use RINs
interchangeably. In the RFS1 rule, up to
20% of a previous year’s RINs may be
‘‘rolled over’’ and used for compliance in
the following year. In the preamble to
the proposed rule, we discussed the
concept of allowing for flexibilities in
the rollover cap, such as a higher RIN
rollover cap for small refiners for some
period of time or for at least some of the
four standards. As the rollover cap is the
means through which we are
implementing the limited credit lifetime
provisions in section 211(o) of the CAA,
and therefore cannot simply be
eliminated, we requested comment on
the concept of increasing the RIN
rollover cap percentage for small
refiners and an appropriate level of that
percentage. In response to the Panel’s
recommendation, we also sought
comment on allowing small refiners to
use the four types of RINs
interchangeably.
In their comments on the proposed
rule, one small refiner commented that,
in regards to small refiners’ concerns
about RIN pricing and availability, there
is no mechanism in the rule to address
the possibility that the RIN market will
not be viable. The commenter further
suggested that more ‘‘durable’’ RINs are
needed for small refiners that can be
carried over from year to year, to
alleviate some of the potentially market
volatility for renewable fuels. Another
commenter suggested that RINs should
be interchangeable for small refiners, or
alternatively, some mechanism should
be implemented to ensure that RIN
prices are affordable for small refiners.
Further, with regard to interchangeable
RINs, one commenter stated that small
refiners do not have the staff or systems
to manage and account for four different
categories of RINs and rural small
refiners will suffer economic hardship
and disadvantage because of the
unavailability of biofuels. The
commenter also requested an increase in
the rollover cap to 50% for small
refiners.
We are not finalizing additional RINrelated flexibilities for small refiners in
today’s action. As highlighted in the
NPRM, we continue to believe that the
concept of interchangeable RINs for
small refiners only fails to require the
four different standards mandated by
Congress (e.g., conventional biofuel
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could not be used instead of cellulosic
biofuel or biomass-based diesel), and is
not consistent with section 211(o) of the
Clean Air Act. Essentially, it would
circumvent the explicit direction of
Congress in EISA to require that the four
RFS2 standards be met separately.
Further, given the findings from the
DOE study that small refineries (and
thus, most small refiners) do not
currently face disproportionate
economic hardship, and are not
expected to do so as RFS2 is
implemented, we do not believe that a
basis exists to justify providing small
refiners with a larger rollover cap than
other regulated entities. Thus, small
refiners will be held to the same RIN
rollover cap as other obligated parties.
F. Retail Dispenser Labeling for Gasoline
With Greater Than 10 Percent Ethanol
We proposed labeling requirements
for fuel dispensers that handle greater
than 10 volume percent ethanol blends
which included the following text: For
use only in flexible-fuel vehicles, May
damage non-flexible-fuel vehicles,
Federal law prohibits use in nonflexible-fuel vehicles. This proposal was
primarily meant to help address
concerns about the potential misfueling
of non-flex-fuel vehicles with E85, in
light of the anticipated increase in E85
sales volumes in response to the RFS2
program. All ethanol blends above 10
volume percent were included due to
the increasing industry focus on ethanol
blender pumps that are designed to
dispense a variety of ethanol blends
(e.g., E30, and E40) for use in flex-fuel
vehicles.
Commenters stated that EPA should
undertake additional analysis of the
potential impacts from misfueling and
what preventative measures might be
appropriate before finalizing labeling
requirements for >E10 blends. They also
stated that EPA should coordinate any
such labeling provisions with those
already in place by the Federal Trade
Commission. EPA is also currently
evaluating a petition to allow the use of
up to 15 volume percent ethanol in nonflex fuel vehicles. One potential result
of this evaluation might be for EPA to
grant a partial waiver that is applicable
only for a subset of the current vehicle
population. Under such an approach, a
label for E15 fuel dispensers would be
needed that identifies what vehicles are
approved to use E15.
Based on the public comments and
the fact that EPA has not completed its
evaluation of the E15 waiver petition,
we believe that it is appropriate to defer
finalizing labeling requirements for
>E10 blends at this time. This will
afford us the opportunity to complete
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our analysis of what measures might be
appropriate to prevent misfueling with
>E10 blends before this may become a
concern in the context of the RFS2
program.
G. Biodiesel Temperature
Standardization
The volume of a batch of renewable
fuel can change under extreme changes
in temperature. The volume of a batch
of renewable fuel can experience
expansion as the temperature increases,
or can experience contraction as
temperature decreases. The Agency
requires temperature standardization of
renewable fuels at 60° Fahrenheit (°F) so
renewable fuel volumes are accounted
for on a uniform and consistent basis
over the entire fuels industry. In the
May 1, 2007 Renewable Fuels Standard
(RFS) final rule the Agency required
biodiesel temperature standardization to
be completed as follows:
Vs,b = Va,b × (¥0.0008008 × T + 1.0480)
Where
Vs,b = Standard Volume of biodiesel at 60
degrees F, in gallons;
Va,b = Actual volume of biodiesel, in gallons;
T = Actual temperature of batch, in degrees
F.
This equation was based on data from
a published research paper by Tate et
al.36 Members of the petroleum industry
have indicated that the current biodiesel
temperature standardization equation in
the regulations provides different results
than that commonly used by both the
petroleum and biodiesel industry for
commercial trading of biodiesel. These
commercial values are either based on
American Petroleum Institute (API)
tables for petroleum products or on
empirical values from industry
measurements at common temperatures
and pressures observed in bulk fuel
facilities. The difference between RIN
calculated volumes and commercial
sales volumes has created confusion
within the record keeping system of
both the petroleum and biodiesel
industry.
In the RFS2 proposed rule, the
Agency proposed the temperature
standardization of biodiesel remain
unchanged from the RFS1
requirements.37 The Agency received
comments from Archer Daniels Midland
Company (ADM), World Energy
Alternatives, Marathon Petroleum
Company (Marathon) and the National
36 Equation was derived from R.E. Tate et al. ‘‘The
Densities of Three Biodiesel Fuels at Temperatures
up to 300 °C.’’, Department of Biological
Engineering, Dalhousie University, April 2005.
‘‘Fuel 85 (2006) 1004–1009, Table 1 for soy methyl
ester.’’
37 74 FR 24943, May 26, 2009.
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14739
Biodiesel Board (NBB) to revise the
biodiesel temperature standardization
equation.
Both ADM and NBB agreed on the
necessity for biodiesel temperature
standardization at 60 °F. ADM and NBB
commented on several empirical
calculations which have been developed
specific to biodiesel temperature
standardization since the 2007 RFS1
final rule. These include a 2004 data set
developed by the Minnesota Department
of Commerce and the Renewable Energy
Group and updated in 2008; information
embedded in the European Biodiesel
Specification EN 14214; and
information from the Alberta Research
Council. The table below provides
values from NBB for 1000 gallons of
biodiesel standardized to a temperature
at 60 °F for these empirical calculations,
along with the current EPA equation,
and the American Petroleum Institute
(API) Refined Products Table 6.
TABLE III.G–1—NBB COMPARISON OF
BIODIESEL TEMPERATURE STANDARDIZATION CALCULATIONS TO 60 °F
FOR 1000 GALLONS OF BIODIESEL
AT 90 °F
Gallons
2007 EPA Biodiesel Formula .....
2008 Minnesota (Hedman) data
API Refined Products Table 6
(biodiesel density @ 7.359) ....
Alberta Research Council ...........
EN 14214 data ...........................
2004 Minnesota Renewable Energy Group data ......................
975.28
986.270
986.625
986.238
986.401
986.830
As illustrated by the results from the
above table, the values for the various
biodiesel temperature standardization
empirical calculations are within 1
gallon of agreement of each other for a
1000 gallon biodiesel batch, except for
the current biodiesel temperature
standardization equation in the
regulations.
To ensure consistency in RIN
generation, ADM commented EPA
should adopt only one biodiesel
temperature standardization calculation.
ADM commented that all biodiesel
temperature standardization
calculations developed, including the
API Refined Products Table 6, are in
very close agreement with each other
and the differences between them all are
insignificant. They further commented
the API Refined Products Table 6 has
provided a uniform measurement of
volume for years for the entire liquid
fuels industry. Thus, ADM believes the
API Refined Products Table 6 should be
adopted for biodiesel to be consistent
with the calculation of sales volumes.
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Finally ADM comments adoption of the
API Refined Products Table 6 would
allow for easier verification within the
marketplace, eliminate the need for
calculating one volume for sales and
trades and another for RINs, and
prevents the entire distribution network
from facing the financial burden of
reprogramming existing meters that
already are based on the API Refined
Products Table 6.
NBB commented that earlier surveys
from its members indicate a fifty-fifty
split between members using the API
Refined Products Table 6 or some
variation of the current EPA biodiesel
formula for biodiesel temperature
standardization. Some NBB members
indicated that the API Refined Products
Table 6 was more commonly used by
the petroleum industry and embedded
into the meters, pumps and accounting
systems of the petroleum industry.
Companies already using the API
Refined Products Table 6 would have a
reduction in required paperwork with
RIN generation and tracking because
already existing commercial documents
could serve that purpose and they thus
could eliminate or reduce their current
dual tracking system. Other NBB
members have already embedded the
current EPA biodiesel equation within
their accounting and sales systems and
would like to continue using that type
of biodiesel temperature standardization
approach rather than the API Refined
Products Table 6. The NBB
recommended EPA revise its current
equation in the regulations to the 2008
Hedman biodiesel temperature
standardization equation. Thus, NBB
commented EPA should provide
flexibility to their members by allowing
the use of either the API Refined
Products Table 6 or the use of a
biodiesel temperature standardization
equation.
Marathon commented the regulations
allow for the standardization of volume
for other renewable fuels to be
determined by an appropriate formula
commonly accepted by the industry
which may be reviewed by the EPA for
appropriateness. They recommended
that EPA extend this courtesy to
biodiesel.
The Agency acknowledges that the
current biodiesel temperature
standardization equation is likely not
correct for biodiesel temperature
standardization at ambient temperatures
observed in the fuel distribution system.
Based on the comments received, the
Agency is amending the regulations to
allow for two ways for biodiesel
temperature standardization: (1) The
American Petroleum Institute Refined
Products Table 6B, as referenced in
ASTM D1250–08, entitled, ‘‘Standard
Guide for Use of the Petroleum
Measurement Tables’’, and (2) a
biodiesel temperature standardization
equation that utilizes the 2008 data
generated by the Minnesota Department
of Commerce and the Renewable Energy
Group. These two methods for biodiesel
temperature standardization are within
one gallon of agreement of each other
for a 1000 gallon biodiesel batch and
thus in very close agreement. Both ADM
and NBB acknowledged that the
differences between these two methods
are insignificant and the resulting
corrected volumes from these two
methods of calculation are within
accuracy tolerances of any metered
measurement. Thus, the Agency
believes the allowance of both of these
methods for biodiesel temperature
standardization will increase flexibility
while still providing for a consistent
generation and accounting of biodiesel
RINs over the entire fuel delivery
system.
38 AEO 2007 was only used to derive renewable
fuel volume projections for the primary reference
case. AEO 2009 was used for future crude oil cost
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IV. Renewable Fuel Production and Use
An assessment of the impacts of
increased volumes of renewable fuel
must begin with an analysis of the kind
of renewable fuels that could be used,
the types and locations of their
feedstocks, the fuel volumes that could
be produced by a given feedstock, and
any challenges associated with their
use. This section provides an
assessment of the potential feedstocks
and renewable fuels that could be used
to meet the Energy Independence and
Security Act (EISA) and the rationale
behind our projections of various fuel
types to represent the control cases for
analysis purposes. As new technologies,
feedstocks, and fuels continue to
develop on a daily basis, markets may
appear differently from our projections.
Although actual volumes and feedstocks
may differ, we believe the projections
made for our control cases are within
the range of possible predictions for
which the standards are met and allow
for an assessment of the potential
impacts of the increases in renewable
fuel volumes that meet the requirements
of EISA.
A. Overview of Renewable Fuel Volumes
EISA mandates the use of increasing
volumes of renewable fuel. To assess the
impacts of this increase in renewable
fuel volume from business-as-usual
(what is likely to have occurred without
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EISA), we have established reference
and control cases from which
subsequent analyses are based. The
reference cases are projections of
renewable fuel volumes without the
enactment of EISA and are described in
Section IV.A.1. The control cases are
projections of the volumes and types of
renewable fuel that might be used in the
future to comply with the EISA volume
mandates. For the NPRM we had
focused on one primary control case
(see Section IV.A.2) whereas for the
final rule we have expanded the
analysis to include two additional
sensitivity cases (see Section IV.A.3).
Based on the public comments received
as well as new information, we have
updated the primary control case
volumes from the NPRM to reflect what
we believe could be a more likely set of
volumes to analyze. We assume in each
of the cases the same ethanolequivalence basis as was used in the
RFS1 rulemaking to meet the standard.
Volumes are listed in tables for this
section in both straight-gallons and
ethanol-equivalent gallons (i.e., times
1.5 for biodiesel or 1.7 for cellulosic
diesel and renewable diesel). The
volumes included in this section are for
2022. For intermediate years, refer to
Section 1.2 of the RIA.
1. Reference Cases
Our primary reference case renewable
fuel volumes are based on the Energy
Information Administration’s (EIA)
Annual Energy Outlook (AEO) 2007
reference case projections.38 While AEO
2007 is not as up-to-date as AEO 2008
or AEO 2009, we chose to use AEO 2007
because later versions of AEO already
include the impact of increased
renewable fuel volumes under EISA as
well as fuel economy improvements
under CAFE as required in EISA,
whereas AEO 2007 did not.
For the final rule we have also
assessed a number of the impacts
relative to a reference case assuming the
mandated renewable fuel volumes
under RFS1 from the Energy Policy Act
of 2005 (EPAct). This allows for a more
complete assessment of the impacts of
the EISA volume mandates, especially
when combined with the impacts
assessment conducted for the RFS1
rulemaking (though many factors have
changed since then). Table IV.A.1–1
summarizes the 2022 renewable fuel
volumes for the AEO 2007 and the RFS1
reference cases (listed in both straight
volumes and ethanol-equivalent
volumes).
estimates and for estimating total transportation
fuel energy use.
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TABLE IV.A.1–1—REFERENCE CASE RENEWABLE FUEL VOLUMES IN 2022
[Billion gallons]
Advanced biofuel
Non-advanced
biofuel
Cellulosic biofuel
Biomass-based
diesel a
Other advanced
biofuel
Cellulosic ethanol c
Source/volume type
FAME biodiesel b
Imported ethanol
0.38
0.58
0.30
0.45
0.64
0.64
0.00
0.00
AEO 2007 Straight Volume .............................
AEO 2007 Ethanol-Equivalent .........................
RFS 1 Straight Volume ....................................
RFS 1 Ethanol-Equivalent ...............................
Total renewable
fuel
Corn ethanol
0.25
0.25
0.00
0.00
12.29
12.29
7.05
7.05
13.56
13.76
7.35
7.50
a Biomass-Based
Diesel could include FAME biodiesel, cellulosic diesel, and non-co-processed renewable diesel.
fatty acid methyl ester (FAME) biodiesel volumes were considered.
c Under the RFS1 reference case, we assumed the 250-million gallon cellulosic standard set by EPAct would be met primarily by corn ethanol
plants utilizing 90% biomass for energy, thus actual production of cellulosic biofuel is zero. AEO 2007 reference case assumes actual production
of cellulosic biofuel and therefore assumed to be 0.25 billion gallons.
b Only
2. Primary Control Case
Our assessment of the renewable fuel
volumes required to meet EISA
necessitates establishing a primary set of
fuel types and volumes on which to
base our assessment of the impacts of
the new standards. EISA contains four
broad categories: cellulosic biofuel,
biomass-based diesel, total advanced
biofuel, and total renewable fuel. As
these categories could be met with a
wide variety of fuel choices, in order to
assess the impacts of increased volumes
of renewable fuel, we projected a set of
reasonable renewable fuel volumes
based on our projection of fuels that
could come to market.
Although actual volumes and
feedstocks will be different, we believe
the projections made for our control
cases are within the range of possible
predictions for which the standards are
met and allow for an assessment of the
potential impacts of increased volumes
of renewable fuel. Table IV.A.2–1
summarizes the fuel types used for the
primary control case and their
corresponding volumes for the year
2022.
TABLE IV.A.2–1—PRIMARY CONTROL CASE PROJECTED RENEWABLE FUEL VOLUMES IN 2022
[Billion gallons]
Advanced biofuel
Cellulosic biofuel
Volume type
Cellulosic
ethanol
Straight Volume ...............
Ethanol-Equivalent ...........
Biomass-based
Cellulosic
diesel b
4.92
4.92
FAME c
biodiesel
6.52
11.08
0.85
1.28
Other advanced biofuel
NCRD d
Non-advanced
biofuel
Other biodiesel e
diesel a
Corn ethanol
0.15
0.26
0.82
1.23
Imported
ethanol
2.24
2.24
15.00
15.00
Total renewable fuel
30.50
36.00
a Biomass-Based
Diesel could include FAME biodiesel, cellulosic diesel, and non-co-processed renewable diesel.
Diesel includes at least 1.96 billion gallons (3.33 billion ethanol-equivalent gallons) from Fischer-Tropsch Biomass-to-Liquids (BTL)
processes based on EIA’s forecast and an additional 4.56 billion gallons (7.75 billion ethanol-equivalent gallons) from this or other types of cellulosic diesel processes.
c Fatty acid methyl ester (FAME) biodiesel.
d Non-Co-processed Renewable Diesel (NCRD).
e Other Biodiesel is biodiesel that could be produced in addition to the amount needed to meet the biomass-based diesel standard.
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b Cellulosic
The following subsections detail our
rationale for projecting the amount and
type of fuels needed to meet EISA as
shown in Table IV.A.2–1. For cellulosic
biofuel we have assumed that by 2022
on a straight-volume basis about half
would come from cellulosic ethanol and
the other half from cellulosic diesel. On
an ethanol-equivalent volume basis,
cellulosic diesel would make up almost
70% of the 16 billion gallons cellulosic
biofuel standard. Biomass-based diesel
is assumed to be comprised of a
majority of fatty-acid methyl ester
(FAME) biodiesel and a smaller portion
of non-co-processed renewable diesel.
The portion of the advanced biofuel
category not met by cellulosic biofuel
and biomass-based diesel is assumed to
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come mainly from imported sugarcane
ethanol with a smaller amount from
additional biodiesel sources. The total
renewable fuel volume not required to
be comprised of advanced biofuels is
assumed to be met with corn ethanol
with small amounts of other grain
starches and waste sugars.
The main difference between the
volumes used for the NPRM and the
volumes used for the FRM is the
inclusion of cellulosic diesel for the
FRM. The NPRM made the simplifying
assumption that the cellulosic biofuel
standard would be met entirely with
cellulosic ethanol. However, due to
growing interest and recent
developments in hydrocarbon-based or
so-called ‘‘drop-in’’ renewable fuels as
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well as butanol, and marketplace
challenges for consuming high volumes
of ethanol, we have included
projections of more non-ethanol
renewables in our primary control case
for the final rule.39 In the future, this
could include various forms of ‘‘green
hydrocarbons’’ (i.e., cellulosic gasoline,
diesel and jet) and higher alcohols, but
39 Comments received from Advanced Biofuels
Association, Testimony on June 9, 2009 suggesting
a number of advanced biofuel technologies will be
able to produce renewable diesel, jet fuels, gasoline,
and gasoline component fuels (e.g. butanol, isooctane). Similar comments were received from the
New York State Department of Environmental
Conservation (Docket EPA–HQ–OAR–2005–0161–
2143), OPEI and AllSAFE (Docket EPA–HQ–OAR–
2005–0161–2241), and the Low Carbon Synthetic
Fuels Association (Docket EPA–HQ–OAR–2005–
0161–2310).
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for analysis purposes, we have modeled
it as cellulosic diesel fuel. We describe
these fuels in greater detail in Section
IV.B–D. We have also included some
algae-derived biofuels in our FRM
analyses given the large interest and
potential for such fuels. We have
continued to assume zero volume for
renewable fuels or blendstocks such as
biogas, jatropha, palm, imported
cellulosic biofuel, and other alcohols or
ethers in our control cases. Although we
have not included these renewable fuels
and blendstocks in our impact analyses,
it is important to note that they can still
be counted under our program if they
meet the lifecycle thresholds and
definitions for renewable biomass, and
recent information suggests that some of
them may be likely.
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a. Cellulosic Biofuel
As discussed in our NPRM, whether
cellulosic biofuel is ethanol will depend
on a number of factors, including
production costs, the form of tax
subsidies, credit programs, and factors
influencing the blending of biofuel into
the fuel pool. It will also depend on the
relative demand for gasoline and diesel
fuel. As a result of our analyses on
ethanol consumption (see Section IV.D)
and continual tracking of the industry’s
interest in hydrocarbon-based
renewables (see Section IV.B), we have
decided to analyze a cellulosic biofuel
standard made up of both cellulosic
ethanol and cellulosic diesel fuels.
For assessing the impacts of the RFS2
standards, we used AEO 2009 (April
release) cellulosic ethanol volumes (4.92
billion gallons), as well as the cellulosic
biomass-to-liquids (BTL) diesel volumes
(1.96 billion gallons) using FischerTropsch (FT) processes. We consider
BTL diesel from FT processes as a
subset of cellulosic diesel. In order to
reach a total of 16 billion ethanolequivalent gallons, we assumed that an
additional 4.56 billion gallons of
cellulosic diesel could be produced
from other cellulosic diesel processes.
Refer to Section 1.2 of the RIA for more
discussion.
b. Biomass-Based Diesel
Biomass-based diesel can include
fatty acid methyl ester (FAME)
biodiesel, renewable diesel (RD) that has
not been co-processed with a petroleum
feedstock, as well as cellulosic diesel.
Although cellulosic diesel could
potentially contribute to the biomassbased diesel category, we have assumed
for our analyses that the fuel produced
through Fischer-Tropsch (F–T) or other
processes and its corresponding
feedstocks (cellulosic biomass) are
already accounted for in the cellulosic
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biofuel category discussed previously in
Section IV.A.2.a.
FAME and RD processes can both
utilize vegetable oils, rendered fats, and
greases, and thus will generally compete
for the same feedstock pool. We have
based RD volumes on our forecast of
industry plans, and expect these plants
to use rendered fats as feedstock. Most
biodiesel plants now have the capability
to use vegetable or animal fats as
feedstock, and thus our analysis
assumes biodiesel will be made from a
mix of inputs, depending on local
availability, economics, and season.
Refer to Section 1.1 of the RIA for more
detail on FAME and RD feedstocks
Renewable diesel production can be
further classified as co-processed or
non-co-processed, depending on
whether the renewable material is
mixed with petroleum during the
hydrotreating operations. EISA
specifically forbids co-processed RD
from being counted as biomass-based
diesel, but it can still count toward the
total advanced biofuel requirement. At
this time, based on current industry
plans, we expect most, if not all, RD will
be non-co-processed (that is, nonrefinery operations).
Perhaps the feedstock with the
greatest potential for providing large
volumes of oil for the production of
biomass-based diesel is algae. However,
several technical hurdles do still exist.
Specifically, more efficient harvesting,
dewatering, and lipid extraction
methods are needed to lower costs to a
level competitive with other feedstocks.
For all three control cases, we have
chosen to include 100 million gallons of
algae-based biodiesel by 2022. We
believe this is reasonable given several
announcements from the algae industry
about their production plans.40
Although algae to biofuel companies
can focus on producing algae oil for
traditional biodiesel production, several
companies are alternatively using algae
for producing ethanol or crude oil for
gasoline or diesel which could also help
contribute to the advanced biofuel
mandate. For more detail on algae as a
feedstock, refer to Section 1.1 of the
RIA.
During the comment period, we
received information from stakeholders
on alternative biodiesel feedstocks such
as camelina and pennycress, to name a
40 Sapphire Energy plans for 135 MMgal by 2018
and 1 Bgal by 2025; Petrosun plans for 30 MMgal/
yr facility; Solazyme plans for 100 MMgal by 2012/
13; U.S. Biofuels plans for 4 MMgal by 2010 and
50 MMgal by full scale. Only several companies
have thus far revealed production plans, and more
are announced each day. It is important to realize
that future projections are highly uncertain, and we
have taken into account the best information we
could acquire at the time.
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few. These feedstocks are currently
being researched due to their potential
for lower agricultural inputs and higher
oil yields than traditional vegetable oil
feedstocks as well as their use in
additional crop rotations (i.e., winter
cover crops) on a given area of land. We
acknowledge that as we learn more
about the challenges and benefits to the
use of newer feedstocks, these could be
used in the future towards meeting the
biomass-based diesel standard under the
RFS2 program provided they meet the
lifecycle thresholds and definitions for
renewable biomass. For the purpose of
our impacts analysis, however, we have
chosen not to include these feedstocks
in our analyses at this time.
c. Other Advanced Biofuel
As defined in EISA, advanced biofuel
includes the cellulosic biofuel and
biomass-based diesel categories that
were mentioned in Sections IV.A.2.a
and IV.A.2.b above. However, EISA
requires greater volumes of advanced
biofuel than just the volumes required
of these fuels. It is entirely possible that
greater volumes of cellulosic biofuel and
biomass-based diesel than required by
EISA could be produced in the future.
Our control case assumes that the
cellulosic biofuel volumes will not
exceed those required under EISA. We
do assume, however, that additional
biodiesel than that needed to meet the
biomass-based diesel volume will be
used to meet the total advanced biofuel
volume. Despite additional volumes
assumed from biodiesel, to fully meet
the total advanced biofuel volume
required under EISA, other types of
advanced biofuel are necessary through
2022.
We have assumed for our control case
that the most likely sources of advanced
fuel other than cellulosic biofuel and
biomass-based diesel would be from
imported sugarcane ethanol and
perhaps limited amounts of coprocessed renewable diesel. Our
assessment of international fuel ethanol
production and demand indicate that
anywhere from 3.8–4.2 Bgal of
sugarcane ethanol from Brazil could be
available for export by 2020/2022. If this
volume were to be made available to the
U.S., then there would be sufficient
volume to meet the advanced biofuel
standard. To calculate the amount of
imported ethanol needed to meet the
EISA advanced biofuel standards, we
assumed it would make up the
difference not met by cellulosic biofuel,
biomass-based diesel and additional
biodiesel categories (see Table IV.A.2–
1). The amount of imported ethanol
required by 2022 is approximately 2.2
Bgal.
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As discussed in the NPRM, other
potential advanced biofuels could
include for example, U.S. domestically
produced sugarcane ethanol,
biobutanol, and biogas. While we have
not chosen to reflect these fuels in our
control case, they can still be counted
under our program assuming they meet
the lifecycle thresholds and other
definitions under the program.
d. Other Renewable Fuel
The remaining portion of total
renewable fuel not met with advanced
biofuel was assumed to come from cornbased ethanol (including small amounts
from other grains and waste sugars).
EISA effectively sets a limit for
participation in the RFS program of 15
Bgal of corn ethanol, and we are
assuming for our analysis that sufficient
corn ethanol will be produced to meet
the 15–Bgal limit that either meets the
20% GHG threshold or is grandfathered.
It should be noted, however, that there
is no specific ‘‘corn-ethanol’’ mandated
volume, and that any advanced biofuel
produced above and beyond what is
required for the advanced biofuel
requirements could reduce the amount
of corn ethanol needed to meet the total
renewable fuel standard. This occurs in
our projections during the earlier years
(2010–2015) in which we project that
some fuels could compete favorably
with corn ethanol (e.g., biodiesel and
imported ethanol). Refer to Section 1.2
of the RIA for more details on interim
years. Beginning around 2016, fuels
qualifying as advanced biofuels likely
will be devoted to meeting the
increasingly stringent volume mandates
for advanced biofuel. It is also important
to note that more than 15 Bgal of corn
ethanol could be produced and RINs
generated for that volume under the
RFS2 regulations. However, obligated
parties would not be required to
purchase more than 15 Bgal worth of
14743
non-advanced biofuel RINs, e.g. corn
ethanol RINs.
3. Additional Control Cases Considered
Since there is significant uncertainty
surrounding what fuels will be
produced to meet the 16 billion gallon
cellulosic biofuel standard, we have
decided to investigate two other
sensitivity cases for our cost and
emission impact analyses conducted for
the rule. The first case, we refer to as the
‘‘low-ethanol’’ control case and assume
only 250 million gallons of cellulosic
ethanol (from AEO 2007 reference case).
The rest of the 16 billion gallon
cellulosic biofuel standard is made up
of cellulosic diesel as shown in Table
IV.A.3–1. The second case, we refer to
as the ‘‘high-ethanol’’ control case and
assume the entire 16 billion gallon
cellulosic biofuel standard is met with
cellulosic ethanol, also shown in Table
IV.A.3–1.
TABLE IV.A.3–1—CONTROL CASE PROJECTED RENEWABLE FUEL VOLUMES IN 2022
[Billion gallons]
Advanced biofuel
Cellulosic
ethanol
Low-Ethanol Straight Volume ...............................
Low-Ethanol EthanolEquivalent .....................
High-Ethanol Straight Volume ...............................
High-Ethanol EthanolEquivalent .....................
Other advanced biofuel
Other biodiesel e
Biomass-based diesel a
Cellulosic biofuel
Case/volume type
Cellulosic
diesel b
FAME c biodiesel
NCRD d
Non-advanced
biofuel
Corn ethanol
Imported
ethanol
Total renewable fuel
0.25
9.26
0.85
0.15
0.82
2.24
15.00
28.57
0.25
15.75
1.28
0.26
1.23
2.24
15.00
36.00
16.00
0.00
0.85
0.15
0.82
2.24
15.00
35.06
16.00
0.00
1.28
0.26
1.23
2.24
15.00
36.00
a Biomass-Based
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Diesel could include FAME biodiesel, cellulosic diesel, and non-co-processed renewable diesel.
b Cellulosic Diesel includes 1.96 billion gallons (3.33 ethanol-equivalent billion gallons) from Fischer-Tropsch Biomass-to-Liquids (BTL) processes and 7.30 billion gallons (12.42 ethanol-equivalent billion gallons) from other types of cellulosic diesel processes for the Low-Ethanol case
and zero cellulosic diesel in the High-Ethanol Case.
c Fatty acid methyl ester (FAME) biodiesel.
d Non-Co-processed Renewable Diesel (NCRD).
e Other Biodiesel is biodiesel that could be produced in addition to the amount needed to meet the biomass-based diesel standard.
In comparison, our primary control
case described in Section IV.A.2, could
be considered a ‘‘mid-ethanol’’ control
case, as the cellulosic ethanol and diesel
volumes analyzed are in between the
low-ethanol and high-ethanol cases
described in this section. We believe the
addition of these sensitivity cases is
useful in understanding the potential
impacts of the renewable fuels
standards. Refer to Section 1.2 of the
RIA for more detail on three control
cases analyzed as part of this rule.
B. Renewable Fuel Production
1. Corn/Starch Ethanol
The majority of domestic biofuel
production currently comes from plants
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processing corn and other similarly
processed grains in the Midwest.
However, there are a handful of plants
located outside the Corn Belt and a few
plants processing simple sugars from
food or beverage waste. In this section,
we summarize the present state of the
corn/starch ethanol industry and
discuss how we expect things to change
in the future under the RFS2 program.
came from locally grown corn.41 The
nation is currently on track for
producing over 10 billion gallons by the
end of 2009.42 Although the U.S.
ethanol industry has been in existence
since the 1970s, it has rapidly expanded
in recent years due to the phase-out of
methyl tertiary butyl ether (MTBE),
elevated crude oil prices, state mandates
and tax incentives, the introduction of
the Federal Volume Ethanol Excise Tax
a. Historic/Current Production
The United States is currently the
largest ethanol producer in the world. In
2008, the U.S. produced nine billion
gallons of fuel ethanol for domestic
consumption, the majority of which
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41 Based on total transportation ethanol reported
in EIA’s September 2009 Monthly Energy Review
(Table 10.2) less imports (https://tonto.eia.doe.gov/
dnav/pet/hist/mfeimus1a.htm).
42 Based on ethanol projected in EIA’s October
2009 Short Term Energy Outlook less projected
imports. Actual year-end data for 2009 was
unavailable at the time of this FRM assessment.
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1, U.S. ethanol production has grown
exponentially over the past decade.
162 utilize dry-milling technologies and
the remaining 11 plants rely on wetmilling processes. Dry mill ethanol
plants grind the entire kernel and
generally produce only one primary coproduct: distillers’ grains with solubles
(DGS). The co-product is sold wet
(WDGS) or dried (DDGS) to the
agricultural market as animal feed.
However, there are a growing number of
plants using front-end fractionation to
produce food-grade corn oil or back-end
extraction to produce fuel-grade corn oil
for the biodiesel industry. A company
called GreenShift has corn oil extraction
facilities located at five ethanol plants
in Michigan, Indiana, New York and
Wisconsin.47 Collectively, these
facilities are designed to extract in
excess of 7.3 million gallons of corn oil
per year. Primafuel Solutions is another
company offering corn oil extraction
technologies to make existing ethanol
plants more sustainable. For more
information on corn oil extraction and
other advanced technologies being
pursued by today’s corn ethanol
industry, refer to Section 1.4.1 of the
RIA.
In contrast to dry mill plants, wet mill
facilities separate the kernel prior to
processing into its component parts
(germ, fiber, protein, and starch) and in
turn produce other co-products (usually
gluten feed, gluten meal, and food-grade
corn oil) in addition to DGS. Wet mill
43 On October 22, 2004, President Bush signed
into law H.R. 4520, the American Jobs Creation Act
of 2004 (JOBS Bill), which created the Volumetric
Ethanol Excise Tax Credit (VEETC). The $0.51/gal
ethanol blender credit replaced the former fuel
excise tax exemption, blender’s credit, and pure
ethanol fuel credit. However, the 2008 Farm Bill
modified the alcohol credit so that corn ethanol gets
a reduced credit of $0.45/gal and cellulosic biofuel
gets a credit of $1.01/gal.
44 On May 1, 2007, EPA published a final rule (72
FR 23900) implementing the Renewable Fuel
Standard required by EPAct (also known as RFS1).
RFS1 requires that 4.0 billion gallons of renewable
fuel be blended into gasoline/diesel by 2006,
growing to 7.5 billion gallons by 2012.
45 Based on total transportation ethanol reported
in EIA’s September 2009 Monthly Energy Review
(Table 10.2) less imports (https://tonto.eia.doe.gov/
dnav/pet/hist/mfeimus1a.htm).
46 Our November 2009 corn/starch ethanol
industry characterization was based on a variety of
sources including plant lists published online by
the Renewable Fuels Association and Ethanol
Producer Magazine (updated October 22, 2009),
information from ethanol producer Web sites
including press releases, and follow-up
correspondence with producers. The baseline does
not include ethanol plants whose primary business
is industrial or food-grade ethanol production nor
does it include plants that might be located in the
Virgin Islands or U.S. territories. Where applicable,
current/historic production levels have been used
in lieu of nameplate capacities to estimate
production capacity.
47 Two plants in Michigan and one in each of the
other three states. All company information based
on GreenShift’s Q2 2009 SEC filing available at
https://www.greenshift.com/pdf/
GERS_Form10Q_Q209_FINAL.pdf.
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new volume requirements established
under EISA. As shown in Figure IV.B.1–
As of November 2009 there were 180
corn/starch ethanol plants operating in
the U.S. with a combined production
capacity of approximately 12 billion
gallons per year.46 This does not include
idled ethanol plants, discussed later in
this subsection. The majority of today’s
ethanol production (91.5% by volume)
comes from 155 plants relying
exclusively on corn. Another 8.3%
comes from 18 plants processing a blend
of corn and/or similarly processed
grains (milo, wheat, or barley). The
remainder comes from seven small
plants processing waste beverages or
other waste sugars and starches.
Of the 173 plants processing corn
and/or other similarly processed grains,
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Credit (VEETC),43 the implementation
of the existing RFS1 program,44 and the
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14745
dioxide (CO2) gas are released. In some
plants the CO2 is vented into the
atmosphere, but where local markets
exist, it is captured, purified, and sold
to the food processing industry for use
in carbonated beverages and flashfreezing applications. We are currently
aware of 40 fuel ethanol plants that
recover CO2 or have facilities in place to
do so. According to Airgas, a leading gas
distributor, the U.S. ethanol industry
currently recovers 2 to 2.5 million tons
of CO2 per year which translates to
about 5–7% of all the CO2 produced by
the industry.54
Since the majority of ethanol is made
from corn, it is no surprise that most of
the plants are located in the Midwest
near the Corn Belt. Of today’s 180
ethanol production facilities, 163 are
located in the 15 states comprising
PADD 2. For a map of the government’s
Petroleum Administration for Defense
Districts or PADDs, refer to Figure
IV.B.1–2.
The U.S. ethanol industry is currently
comprised of a mixture of companyowned plants and locally-owned farmer
cooperatives (co-ops). The majority of
today’s ethanol production facilities are
company-owned, and on average these
plants are larger in size than farmerowned co-ops. Accordingly, these
facilities account for about 80% of
today’s online ethanol production
capacity.55 Furthermore, nearly 30% of
the total domestic product comes from
40 plants owned by just three different
companies—POET Biorefining, Archer
Daniels Midland (ADM), and Valero
Renewables. Valero entered the ethanol
industry in March of 2009 when it
acquired seven ethanol plants from
48 According to our November 2009 corn ethanol
plant assessment, the average wet mill plant
capacity is 125 million gallons per year—almost
twice that of the average dry mill plant capacity (65
million gallons per year). For more on average plant
sizes, refer to Section 1.5 of the RIA.
49 Some plants pull steam directly from a nearby
utility.
50 Facilities were assumed to burn natural gas if
the plant boiler fuel was unspecified or unavailable
on the public domain.
51 Includes corrections from NPRM based on new
information obtained on Cargill plants and Blue
Flint ethanol plant.
52 CHP assessment based on information provided
by EPA’s Combined Heat and Power Partnership,
literature searches and correspondence with
ethanol producers.
53 For more on CHP technology, refer to Section
1.4.1.3 of the RIA.
54 Based on information provided by Bruce
Woerner at Airgas on August 14, 2009.
55 Company-owned plants were assumed to be all
those companies not denoted as locally-owned
based on Renewable Fuels Association (RFA),
Ethanol Biorefinery Locations (updated October 22,
2009). For more on average plant sizes, refer to
Section 1.5.1 of the RIA.
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burns a combination of natural gas,
landfill biogas and wood, and two burn
natural gas and syrup from the process.
We are aware of 17 plants that burn coal
as their primary fuel and one that burns
a combination of coal and biomass.51
Our research suggests that three corn
ethanol plants rely on a combination of
waste heat and natural gas and one
plant does not have a boiler and relies
solely on waste heat from a nearby
power plant. Overall, our research
suggests that 27 plants currently utilize
cogeneration or combined heat and
power (CHP) technology, although
others may exist.52 CHP is a mechanism
for improving overall plant efficiency.
Whether owned by the ethanol facility,
their local utility, or a third party, CHP
facilities produce their own electricity
and use the waste heat from power
production for process steam, reducing
the energy intensity of ethanol
production.53
During the ethanol fermentation
process, large amounts of carbon
As a region, PADD 2 accounts for over
94% (or 11.3 billion gallons) of today’s
estimated ethanol production capacity,
followed by PADD 3 (2.4%), PADDs 4
and 1 (each with 1.3%) and PADD 5
(0.8%). For more information on today’s
ethanol plant locations, refer to Section
1.5.1 of the RIA.
mstockstill on DSKH9S0YB1PROD with RULES2
plants are generally more costly to build
but are larger in size on average.48 As
such, 11.4% of the current grain ethanol
production comes from the 11
previously mentioned wet mill
facilities.
The remaining seven ethanol plants
process waste beverages or waste
sugars/starches and operate differently
than their grain-based counterparts.
These small production facilities do not
require milling and operate simpler
enzymatic fermentation processes.
Ethanol production is a relatively
resource-intensive process that requires
the use of water, electricity, and steam.
Steam needed to heat the process is
generally produced on-site or by other
dedicated boilers.49 The ethanol
industry relies primarily on natural gas.
Of today’s 180 ethanol production
facilities, an estimated 151 burn natural
gas 50 (exclusively), three burn a
combination of natural gas and biomass,
one burns natural gas and coal (although
natural gas is the primary fuel), one
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former ethanol giant, Verasun. The oil
company currently has agreements in
place to purchase three more ethanol
plants that would bring the company’s
ethanol production capacity to 1.1
billion gallons per year.56 However,
ethanol plants are much smaller than
petroleum refineries. Valero’s smallest
petroleum refinery in Ardmore, OK has
about twice the throughput of all its
ethanol plants combined.57 Still, as
obligated parties under RFS1 and RFS2,
the refining industry continues to show
increased interest in biofuels. Suncor
and Murphy Oil recently joined Valero
as the second and third oil companies
to purchase idled U.S. ethanol plants.
Many refiners are also supporting the
development of cellulosic biofuels and
algae-based biodiesel.
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b. Forecasted Production Under RFS2
As highlighted earlier, domestic
ethanol production is projected to grow
to over 10 billion gallons in 2009. And
with over 12 billion gallons of capacity
online as of November 2009, ethanol
production should continue to grow in
2010, provided plants continue to
produce at or above today’s production
levels. In addition, despite current
market conditions (i.e., poor ethanol
margins), the ethanol industry is
expected to grow in the future under the
RFS2 program. Although there is not a
set corn ethanol requirement, EISA
allows for 15 billion gallons of the 36billion gallon renewable fuel standard to
be met by conventional biofuels. We
expect that corn ethanol will fulfill this
requirement, provided it is more cost
competitive than imported ethanol or
cellulosic biofuel in the marketplace.
In addition to the 180 aforementioned
corn/starch ethanol plants currently
online, 27 plants are presently idled.58
Some of these are smaller ethanol plants
that have been idled for quite some
time, whereas others are in a more
temporary ‘‘hot idle’’ mode, ready to be
restarted. In response to the economic
downturn, a number of ethanol
producers have idled production, halted
construction projects, sold off plants
and even filed for Chapter 11
bankruptcy protection. Some corn
ethanol companies have exited the
industry all together (e.g., Verasun)
whereas others are using bankruptcy as
56 Valero recently announced that it has purchase
agreements in place to acquire the last two Verasun
plants in Linden, IN and Bloomington, OH and the
former Renew Energy plant in Jefferson Junction,
WI.
57 Based on refinery information provided at
https://www.valero.com/OurBusiness/OurLocations/.
58 Based on our November 2009 corn/starch
ethanol industry characterization. We are aware of
at least one plant that has come back online since
then.
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a means to protect themselves from
creditors as they restructure their
finances with the goal of becoming
sustainable.
Crude oil prices are expected to
increase in the future making corn
ethanol more economically viable.
According to EIA’s AEO 2009, crude oil
prices are projected to increase from
about $80/barrel (today’s price) to $116/
barrel by 2022.59 As oil and gas prices
rebound, we expect that the biofuels
industry will as well. Since our April
2009 industry assessment used for the
NPRM, at least nine corn ethanol plants
have come back online.
For analysis purposes, we assumed
that all 27 idled corn/starch ethanol
plants would resume operations by 2022
under the RFS2 program. We also
assumed that a total of 11 new ethanol
plants and two expansion projects
currently under construction or in
advanced stages of planning would
come online.60 This includes two large
dry mill expansion projects currently
underway at existing ADM wet mill
plants and two planned combination
corn/cellulosic ethanol plants that
received funding from DOE. While
several of these projects are delayed or
on hold at the moment, we expect that
these facilities (or comparable
replacement projects) would eventually
come online to get the nation to
approximately 15 billion gallons of corn
ethanol production capacity.
Almost 100% of conventional ethanol
plant growth is expected to come from
facilities processing corn or other
similarly processed grains. And not
surprisingly, the majority of growth
(approximately 70% by volume) is
expected to originate from PADD 2.
However, growth is expected to occur in
all PADDs. With the exception of one
facility,61 all new corn/grain ethanol
plants are expected to utilize dry
milling technologies and the majority of
new production is expected to come
from plants burning natural gas.
However, we anticipate that two manure
biogas plants,62 one biomass-fired plant,
and two coal-fired ethanol plants will be
59 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 12).
60 Sources include Renewable Fuels Association,
Ethanol Biorefinery Locations (updated October 22,
2009) and Ethanol Producer Magazine, Producing,
Not Producing, Under Construction, and
Expansions lists (last modified on October 22, 2009)
in addition to information gathered from producer
Web sites and follow-up correspondence.
61 Tate and Lyle is currently in the process of
building a 115 MGY wet mill corn ethanol plant in
Fort Dodge, IA.
62 One manure biogas plant that is currently idled
and another that was under construction but is now
on hold.
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added to the mix.63 Of these new and
returning idled plants, we’re aware of
five facilities currently planning to use
CHP technology, bringing the U.S. total
to 32.
The above predictions are based on
the industry’s current near-term
production plans. However, we
anticipate additional growth in
advanced ethanol production
technologies under the RFS2 program.
Forecasted fuel prices are projected to
drive corn ethanol producers to
transition from conventional boiler fuels
to biomass feedstocks. In addition, fossil
fuel/electricity prices will likely drive a
number of ethanol producers to pursue
CHP technology. For more on our
projected 2022 utilization of these
technologies under the RFS2 program,
refer to Section 1.5.1.3 of the RIA.
2. Imported Ethanol
As discussed in the proposal, ethanol
imports have traditionally played a
relatively small role in the U.S.
transportation fuel market due to
historically low crude prices and the
tariff on imported ethanol. Between
years 2000 and 2008, the volume of
ethanol imported into the U.S. has
ranged from 46–720 million gallons per
year. So far this year, from January
through November 2009, imported
ethanol has only reached 197 million
gallons.64 As the data show, the volume
of imported ethanol can fluctuate
greatly.
In the past, the majority of volume has
originated from countries that are part of
the Caribbean Basin Initiative. Direct
Brazilian imports have also made up a
sizeable portion of total ethanol
imported into the U.S. However,
recently there have been relatively small
amounts of direct imports of ethanol
from Brazil.65 This indicates that
current market conditions have made
importing Brazilian ethanol directly to
the U.S. uneconomical. Part of the
reason for this decline in imports is the
cessation of the duty drawback that
became effective on October 1, 2008, but
also changes in world sugar prices.66
63 The two coal fired plants are the
aforementioned dry mill expansion projects
currently underway at existing ADM sites. These
projects commenced construction on or before
December 19, 2007 and would therefore should
likely be grandfathered under the RFS2 rule. For
more on our grandfathering assessment, refer to
Section 1.5.1.4 of the RIA.
64 Official Statistics of the U.S. Department of
Commerce, U.S. ITC.
65 Approximately 19,000 gallons directly from
Brazil in the month of June 2009 and 4 million
gallons from Brazil in the month of November 2009,
zero gallons reported from November 2008–May
2009 and July 2009–October 2009.
66 Lundell, Drake, ‘‘Brazilian Ethanol Export
Surge to End; U.S. Customs Loophole Closed Oct.
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It is difficult to project the potential
volume of future ethanol imports to the
U.S. based purely on historical data.
Rather, it is necessary to assess future
import potential by analyzing the major
players for foreign ethanol production
and consumption. In 2008, the top three
fuel ethanol producers were the U.S.,
Brazil, and the European Union (EU),
producing 9.0, 6.5, and 0.7 billion
gallons, respectively.67 Consumption of
fuel ethanol is also dominated by the
United States and Brazil with
approximately 9.6 and 4.9 billion
gallons consumed in each country,
respectively.68 69 The EU consumed
approximately 0.9 billion gallons of fuel
ethanol in 2008.70
In our assessment of foreign ethanol
production and consumption, we
analyzed the following countries or
group of countries: Brazil, the EU,
Japan, India, and China. Our analyses
indicate that Brazil would likely be the
only nation able to supply any
meaningful amount of ethanol to the
U.S. in the future. Depending on
whether the mandates and goals of the
EU, Japan, India, and China are enacted
or met in the future, it is likely that this
group of countries would consume any
growth in their own production and be
net importers of ethanol, thus
competing with the U.S. for Brazilian
ethanol exports.
Due to uncertainties in the future
demand for ethanol domestically and
internationally, uncertainties in the
actual investments made in the
Brazilian ethanol industry, as well as
uncertainties in future sugar prices,
there appears to be a wide range of
Brazilian production and domestic
consumption estimates. The most
current and complete estimates indicate
that total Brazilian ethanol exports will
likely reach 3.8–4.2 billion gallons by
2022.71 72 73 As this volume of ethanol
1,’’ Ethanol and Biodiesel News, Issue 45, November
4, 2008.
67 Renewable Fuels Association (RFA), ‘‘2008
World Fuel Ethanol Production, ’’ https://
www.ethanolrfa.org/industry/statistics/#E, March
31, 2009.
68 Ibid.
69 UNICA, ‘‘Sugarcane Industry in Brazil: Ethanol
Sugar, Bioelectricity’’ Brochure, 2008.
70 EurObserv’ER, ‘‘Biofuels Barometer’’ July 2009,
https://www.eurobserv-er.org/pdf/baro192.pdf.
71 EPE, ‘‘Plano Nacional de Energia 2030,’’
Presentation from Mauricio Tolmasquim, 2007.
72 UNICA, ‘‘Sugarcane Industry in Brazil: Ethanol,
Sugar, Bioelectricity,’’ 2008.
73 USEPA International Visitors Program Meeting
October 30, 2007, correspondence with Mr.
Rodrigues Technical Director from UNICA Sao
Paulo Sugarcane Agro-industry Union, stated
approximately 3.7 billion gallons probable by 2017/
2020; Consistent with brochure ‘‘Sugarcane Industry
in Brazil: Ethanol Sugar, Bioelectricity’’ from
UNICA (3.25 Bgal export in 2015 and 4.15 Bgal
export in 2020).
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export is available to countries around
the world, only a portion of this will be
available exclusively to the United
States. If the balance of the EISA
advanced biofuel requirement not met
with cellulosic biofuel and biomassbased diesel were to be met with
imported sugarcane ethanol alone, it
would require about 2.2 billion gallons
(see Table IV.A.2–1), or approximately
55% of total Brazilian ethanol export
estimates. This is aggressive, yet within
the bounds of reason, therefore, we have
made this simplifying assumption for
the purposes of further analysis.
Generally speaking, Brazilian ethanol
exporters will seek routes to countries
with the lowest costs for transportation,
taxes, and tariffs. With respect to the
U.S., the most likely route is through the
Caribbean Basin Initiative (CBI).74
Brazilian ethanol entering the U.S.
through CBI countries is not currently
subject to the 54 cent/gal imported
ethanol tariff and yet receives the 45
cent/gal ethanol blender credit. In
addition to the U.S., other countries also
have similar tariffs on imported ethanol.
Refer to Section 1.5.2 of the RIA for
more details. Due to the economic
incentive of transporting ethanol
through the CBI, we expect the majority
of the tariff rate quota (TRQ) to be met
or exceeded, perhaps 90% or more. The
TRQ is set each year as 7% of the total
domestic ethanol consumed in the prior
year. If we assume that 90% of the TRQ
is met and that total domestic ethanol
(corn and cellulosic ethanol) consumed
in 2021 was 19.2 Bgal (under the
primary control case), then
approximately 1.21 Bgal of ethanol
could enter the U.S. through CBI
countries in 2022. The rest of the
Brazilian ethanol exports not entering
the CBI will compete on the open
market with the rest of the world
demanding some portion of direct
Brazilian ethanol. To meet our advanced
biofuel standard, we assumed 1.03 Bgal
of sugarcane ethanol would be imported
directly to the U.S. in 2022.
3. Cellulosic Biofuel
The majority of the biofuel currently
produced in the United States comes
from plants processing first-generation
feedstocks like corn, plant oils,
74 Other preferential trade agreements include the
North American Free Trade Agreement (NAFTA)
which permits tariff-free ethanol imports from
Canada and Mexico and the Andean Trade
Promotion and Drug Eradication Act (ATPDEA)
which allows the countries of Columbia, Ecuador,
Bolivia, and Peru to import ethanol duty-free.
Currently, these countries export or produce
relatively small amounts of ethanol, and thus we
have not assumed that the U.S. will receive any
substantial amounts from these countries in the
future for our analyses.
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sugarcane, etc. Non-edible cellulosic
feedstocks have the potential to greatly
expand biofuel production, both
volumetrically and geographically.
Research and development on cellulosic
biofuel technologies has exploded over
the last few years, and plants to
commercialize a number of these
technologies are already beginning to
materialize. The $1.01/gallon tax credit
for cellulosic biofuel that was
introduced in the 2008 Farm Bill and
recently became effective, is also
offering much incentive to this
developing industry. In addition to
today’s RFS2 program which sets
aggressive goals for cellulosic biofuel
production, the Department of Energy
(DOE), Department of Agriculture
(USDA), Department of Defense (DOD)
and state agencies are helping to spur
industry growth.
a. Current State of the Industry
There are a growing number of biofuel
producers, biotechnology companies,
universities and research institutes,
start-up companies as well as refiners
investigating cellulosic biofuel
production. The industry is currently
pursuing a wide range of feedstocks,
conversion technologies and fuels.
There is much optimism surrounding
the long-term viability of cellulosic
ethanol and other alcohols for gasoline
blending. There is also great promise
and growing interest in synthetic
hydrocarbons like gasoline, diesel and
jet fuel as ‘‘drop in’’ petroleum
replacements. Some companies intend
to start by processing corn or sugarcane
and then transition to cellulosic
feedstocks while others are focusing
entirely on cellulosic materials.
Regardless, cellulosic biofuel
production is beginning to materialize.
We are currently aware of over 35
small pilot- and demonstration-level
plants operating in North America.
However, the main focus at these
facilities is research and development,
not commercial production. Most of the
plants are rated at less than 250,000
gallons per year and that’s if they were
operated at capacity. Most only operate
intermittently for the purpose of
demonstrating that the technologies can
be used to produce transportation fuels.
The industry as a whole is still working
to increase efficiency, improve yields,
reduce costs and prove to the public, as
well as investors, that cellulosic biofuel
is both technologically and
economically feasible.
As mentioned above, a variety of
feedstocks are being investigated for
cellulosic biofuel production. There is a
great deal of interest in urban waste
(MSW and C&D debris) because it is
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b. Setting the 2010 Cellulosic Biofuel
Standard
The Energy Independence and
Security Act (EISA) set aggressive
cellulosic biofuel targets beginning with
100 million gallons in 2010. However,
EISA also supplied EPA with cellulosic
biofuel waiver authority. For any
calendar year in which the projected
75 For more information on federal support for
biofuels, refer to Section 1.5.3.3 of the RIA.
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cellulosic biofuel production is less
than the minimum applicable volume,
EPA can reduce the standard based on
the volume expected to be available that
year. EPA is required to set the annual
cellulosic standard by November 30th
each year and should consider the
annual estimate made by EIA by
October 31st of each year. We are setting
the 2010 standard as part of this final
rule.
Setting the cellulosic biofuel standard
for 2010 represents a unique challenge.
As discussed above, the industry is
currently characterized by a wide range
of companies mostly focused on
research, development, demonstration,
and financing their developing
technologies. In addition, while we are
finalizing a requirement that producers
and importers of renewable fuel provide
us with production outlook reports
detailing future supply estimates (refer
to § 80.1449), we do not have the benefit
of this valuable cellulosic supply
information for setting the 2010
standard. Finally, since today’s
cellulosic biofuel production potential
is relatively small, and the number of
potential producers few (as described in
more detail below), the overall volume
for 2010 can be heavily influenced by
new developments, either positive or
negative associated with even a single
company, which can be very difficult to
predict. This is evidenced by the
magnitude of changes in cellulosic
biofuel projections and the potential
suppliers of these fuels since the
proposal.
In the proposal, we did a preliminary
assessment of the cellulosic biofuel
industry to arrive at the conclusion that
it was possible to uphold the 100
million gallon standard in 2010 based
on anticipated production. At the time
of our April 2009 NPRM assessment, we
were aware of a handful of small pilot
and demonstration plants that could
help meet the 2010 standard, but the
largest volume contributions were
expected to come from Cello Energy and
Range Fuels.
Cello Energy had just started up a 20
million gallon per year (MGY) cellulosic
diesel plant in Bay Minette, AL. EPA
staff visited the facility twice in 2009 to
confirm that the first-of-its-kind
commercial plant was mechanically
complete and poised to produce
cellulosic biofuel. It was assumed that
start-up operations would go as planned
and that the facility would be operating
at full capacity by the end of 2009 and
that three more 50 MGY cellulosic
diesel plants planned for the Southeast
could be brought online by the end of
2010.
At the time of our assessment, we
were also anticipating cellulosic biofuel
production from Range Fuels’ first
commercial-scale plant in Soperton, GA.
The company received a $76 million
grant from DOE to help build a 40 MGY
wood-based ethanol plant and they
broke ground in November 2007. In
January 2009, Range was awarded an
$80 million loan guarantee from
USDA.75 With the addition of this latest
capital, the company seemed well on its
way to completing construction of its
first 10 MGY phase by the end of 2009
and beginning production in 2010.
Since our April 2009 industry
assessment there have been a number of
changes and delays in production plans
due to technological, contractual,
financial and other reasons. Cello
Energy and Range Fuels have delayed or
reduced their production plans for 2010.
Some of the small plants expected to
come online in 2010 have pushed back
production to the 2011–2012 timeframe,
e.g., Clearfuels Technology, Fulcrum
River Biofuels, and ZeaChem. Alltech/
Ecofin and RSE Pulp & Chemical, two
companies that were awarded DOE
funding back in 2008 to build smallscale biorefineries appear to be
permanently on hold or off the table. In
addition, Bell Bio-Energy, a company
that received DOD funding has since
abandoned plans to produce cellulosic
diesel from MSW at U.S. military
bases.76
At the same time, there has also been
an explosion of new companies, new
business relationships, and new
advances in the cellulosic biofuel
industry. Keeping track of all of them is
a challenge in and of it self as the
situation can change on a daily basis.
EIA recently provided EPA with their
first cellulosic biofuel supply estimate
required under CAA section
211(o)(7)(D)(i). In a letter to the
Administrator dated October 29, 2009,
they arrived at a 5.04 million gallon
estimate for 2010 based on publicly
available information and assumptions
made with respect production capacity
utilization.77 A summary of the plants
they considered is shown below in
Table IV.B.3–1.
76 Bell Bio-Energy is currently investigating other
locations for turning MSW into diesel fuel
according to an October 14, 2009 conversation with
JC Bell.
virtually free and abundant in many
parts of the country, including large
metropolitan areas where the bulk of
fuel is consumed. There is also a lot of
interest in agricultural residues (corn
stover, rice and other cereal straws) and
wood (forest thinnings, wood chips,
pulp and paper mill waste and yard
waste). However, researchers are still
working to find viable harvesting and
storage solutions. Others are
investigating the possibility of growing
dedicated energy crops for cellulosic
biofuel production, e.g., switchgrass,
energy cane, sorghum, poplar,
miscanthus and other fast-growing trees.
While these crops have tremendous
potential, many are starting with the
feedstocks that are available today with
the mentality that once the industry has
proven itself, it will be easier to secure
growing contracts and start producing
energy crops. For more information on
cellulosic feedstock availability, refer to
preamble Section IV.B.3.d and Section
1.1.2 of the RIA.
The industry is also pursuing a
number of different cellulosic
conversion technologies and biofuels.
Most of the technologies fall into one of
two categories: biochemical or
thermochemical. Biochemical
conversion involves the use of acids
and/or enzymes to hydrolyze cellulosic
materials into fermentable sugars and
lignin. Thermochemical conversion
involves the use of heat to convert
biomass into synthesis gas or pyrolysis
oil for upgrading. A third technology
pathway is emerging that involves the
use of catalysts to depolymerize or
reform the feedstocks into fuel. The
technologies currently being considered
are capable of producing cellulosic
alcohols or hydrocarbons for the
transportation fuel market. Many
companies are also researching the
potential of co-firing biomass to produce
plant energy in addition to biofuels. For
a more in-depth discussion on cellulosic
technologies, refer to Section 1.4.3 of
the RIA.
77 Letter from Richard Newell, EIA Administrator
to Lisa Jackson, EPA Administrator dated October
29, 2009 (Table 2).
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TABLE IV.B.3–1—EIA’S PROJECTED CELLULOSIC BIOFUEL PLANT PRODUCTION CAPACITIES FOR 2010
Online
Capacity
(million
gallons)
Expected
utilization (%)
Production
(million
gallons) 3
Company
Location
Product
.........................
.........................
.........................
.........................
.........................
.........................
KL Process Design ..
Verenium ..................
Terrabon ...................
Zeachem ..................
Cello Energy ............
Range Fuels .............
Upton, WY ................
Jennings, LA ............
Bryan, TX .................
Boardman, OR .........
Bay Minette, AL .......
Soperton, GA ...........
Ethanol .....................
Ethanol .....................
Bio-Crude .................
Ethanol .....................
Diesel .......................
Ethanol .....................
1.5
1.4
0.93
1.5
20.0
5.0 2
10
10
10
10
10 1
50
0.15
0.14
0.09
0.15
2.00
2.5
Total ..................
..................................
..................................
..................................
30.35
........................
5.04
2007
2008
2008
2010
2010
2010
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Notes: 1. Cello Energy is assigned a 10-percent utilization factor as they have not been able to run on a continuous basis long enough to
apply for a Synthetic Minor Operating Permit or produce significant amounts of fuel during 2009. 2. It is estimated that only half the 2010 projected capacity (10 million gallons per year) will be a qualified fuel. 3. The production from these facilities in 2009 is not surveyed by EIA or EPA.
In addition to receiving EIA’s
information and coordinating with them
and other offices in DOE, we have
initiated meetings and conversations
with over 30 up-and-coming advanced
biofuel companies to verify publicly
available information, obtain
confidential business information, and
better assess the near-term cellulosic
biofuel production potential for use in
setting the 2010 standard. What we have
found is that the cellulosic biofuel
landscape has continued to evolve.
Based on information obtained, not only
do we project significantly different
production volumes on a company-bycompany basis, but the list of potential
producers of cellulosic biofuel in 2010
is also significantly different than that
identified by EIA.
Overall, our industry assessment
suggests that it is difficult to rely on
commercial production from small pilot
or demonstration-level plants. The
primary purpose of these facilities is to
prove that a technology works and
demonstrate to investors that the
process is capable of being scaled up to
support a larger commercial plant.
Small plants are cheaper to build to
demonstrate technology than larger
plants, but the operating costs ($/gal) are
higher due to their small scale. As a
result, it’s not economical for most of
these facilities to operate continuously.
Most of these plants are regularly shut
down and restarted as needed as part of
the research and development process.
Due to their intermittent nature, most of
these plants operate at a fraction of their
rated capacity, some less than the 10%
utilization rate assumed by EIA. In
addition, few companies plan on
making their biofuel available for
commercial sale.
However, there are at least two
cellulosic biofuel companies currently
operating demonstration plants in the
U.S. and Canada that could produce fuel
commercially in 2010. The first is KL
Energy Corporation, a company we
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considered for the NPRM with a 1.5
MGY cellulosic ethanol plant in Upton,
WY. This plant was considered by EIA
and is included in Table IV.B.3–1. The
second is Iogen’s cellulosic ethanol
plant in Ottawa, Canada with a 0.5 MGY
capacity. Iogen’s commercial
demonstration plant was referenced by
EIA as a potential foreign source for
cellulosic biofuel but was not included
in their final table. In addition to these
online demonstration plants, there are
three additional companies not on EIA’s
list that are currently building
demonstration-level cellulosic biofuel
plants in North America that are
scheduled to come online in 2010. This
includes DuPont Danisco Cellulosic
Ethanol and Fiberight, companies
building demonstration plants in the
U.S. and Enerkem, a company building
a demonstration plant in Canada. Cello
Energy’s plant in Bay Minette, AL
continues to offer additional potential
for cellulosic biofuel in 2010. And
finally, Dynamotive, a company that
currently has two biomass-based
pyrolysis oil production plants in
Canada is another potential source of
cellulosic biofuel in 2010. All seven
aforementioned companies are
discussed in greater detail below along
with Range Fuels.
KL Energy Corporation (KL Energy),
through its majority-owned Western
Biomass Energy, LLC (WBE) located in
Upton, WY, is designed to convert wood
products and wood waste products into
ethanol. Since the end of construction
in September 2007, equipment
commissioning and process revisions
continued until the October 2009
startup. The plant was built as a 1.5
MGY demonstration plant and was
designed to both facilitate research and
operate commercially. It is KL Energy’s
intent that WBE’s future use will
involve the production and sale of small
but commercial-quality volumes of
ethanol and lignin co-product. The
company’s current 2010 goal is for WBE
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to generate RINs under the RFS2
program.78
Iogen is responsible for opening the
first commercial demonstration
cellulosic ethanol plant in North
America. Iogen’s plant located in
Ottawa, Canada has been producing
cellulosic ethanol from wheat straw
since 2004. Like KL Energy, Iogen has
slowly been ramping up production at
its 0.5 MGY plant. According to the
company’s Web site, they produced
approximately 24,000 gallons in 2004
and 34,000 gallons in 2005. Production
dropped dramatically in 2006 and 2007
but came back strong with 55,000
gallons in 2008. Iogen recently
produced over 150,000 gallons of
ethanol from the demonstration plant in
2009. Iogen also recently became the
first cellulosic ethanol producer to sell
its advanced biofuel at a retail service
station in Canada. Their cellulosic
ethanol was blended to make E10
available for sale to consumers at an
Ottawa Shell station. Iogen also recently
announced plans to build its first
commercial scale plant in Prince Albert,
Saskatchewan in the 2011/2012
timeframe. Based on the company’s
location and operating status, Iogen
certainly has the potential to participate
in the RFS2 program. However, at this
time, we are not expecting them to
import any cellulosic ethanol into the
U.S. in 2010.79
DuPont Danisco Cellulosic Ethanol,
LLC (DDCE), a joint venture between
DuPont and Danisco, is another
potential source for cellulosic biofuel in
2010. DDCE received funding from the
State of Tennessee and the University of
Tennessee to build a small 0.25 MGY
demonstration plant in Vonore, TN to
78 Based on information provided by Lori Litzen,
Environmental Permit Engineer at KL Energy on
December 10, 2009.
79 Based on Web site information, comments
submitted in response to our proposal, and a
follow-up phone call with Iogen Executive VP, Jeff
Passmore on December 17, 2009.
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pursue switchgrass-to-ethanol
production. According to DDCE,
construction commenced in October
2008 and the plant is now mechanically
complete and undergoing start-up
operations. The facility is scheduled to
come online by the end of January and
the company hopes to operate at or
around 50% of production capacity in
2010. According to the DDCE, the
objective in Vonore is to validate
processes and data for commercial
scale-up, not to make profits. However,
the company does plan to sell the
cellulosic ethanol it produces.80
Enerkem is another company
pursuing cellulosic ethanol production.
The Canadian-based company was
recently announced as a recipient of a
joint $50 million grant from DOE and
USDA to build a 10 MGY woody
biomass-to-ethanol plant in Pontotoc,
MS.81 The U.S. plant is not scheduled
to come online until 2012, but Enerkem
is currently building a 1.3 MGY
demonstration plant in Westbury,
Quebec. According to the company,
plant construction in Westbury started
in October 2007 and the facility is
currently scheduled to come online
around the middle of 2010. While it’s
unclear at this time whether the
cellulosic ethanol produced will be
exported to the United States, Enerkem
has expressed interest in selling its fuel
commercially.82
Additional cellulosic biofuel could
come from Fiberight, LLC (Fiberight) in
2010. We recently became aware of this
start-up company and contacted them to
learn more about their process and
cellulosic biofuel production plans.
According to Fiberight, they have been
operating a pilot-scale facility in
Lawrenceville, VA for three years. They
have developed a proprietary process
that not only fractionates MSW but
biologically converts the non-recyclable
portion into cellulosic ethanol and
biochemicals. Fiberight recently
purchased a shut down corn ethanol
plant in Blairstown, IA and plans to
convert it to become MSW-to-ethanol
capable. According to the company,
construction is currently underway and
the goal is to bring the 2 MGY
demonstration plant online by February
80 Based on a December 16, 2009 telephone
conversation with DDCE Director of Corporate
Communications, Jennifer Hutchins and follow-up
e-mail correspondence.
81 Refer to December 4, 2009 DOE press release
entitled, ‘‘Recovery Act Announcement: Secretaries
Chu and Vilsack Announce More Than $600
Million Investment in Advanced Biorefinery
Projects.’’
82 Based on an October 14, 2009 meeting with
Enerkem and follow-up telephone conversation
with VP of Government Affairs, Marie-Helene
Labrie on December 14, 2009.
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or March, 2010. If the plant starts up
according to plan, the company intends
on making cellulosic ethanol
commercially available in 2010 and
generating RINS under the RFS2
program. Fiberight’s long-term goal is to
expand the Blairstown plant to a 5–8
MGY capacity and build other small
commercial plants around the country
that could convert MSW into fuel.83
Cello Energy, a company considered
in the proposal, continues to be another
viable source for cellulosic biofuel in
2010. Despite recent legal issues which
have constrained the company’s capital,
Cello Energy is still pursuing cellulosic
diesel production. According to the
company, they are currently working to
resolve materials handling and
processing issues that surfaced when
they attempted to scale up production to
20 MGY from a previously operated
demonstration plant. As of November
2009, they were waiting for new
equipment to be ordered and installed
which they hoped would allow for
operations to be restarted as early as
February or March, 2010. Cello’s other
planned commercial facilities are
currently on hold until the Bay Minette
plant is operational.84
Another potential supplier of
cellulosic biofuel is Dynamotive Energy
Systems (Dynamotive) headquartered in
Vancouver, Canada. Dynamotive
currently has two plants in West Lorne
and Guelph, Ontario that produce
biomass-based pyrolysis oil (also known
as ‘‘BioOil’’) for industrial applications.
The BioOil production capacity between
the two plants is estimated at around 9
MGY, but both plants are currently
operating at a fraction of their rated
capacity.85 However, according to a
recent press release, Dynamotive has
contracts in place to supply a U.S.-based
client with at least nine shipments of
BioOil in 2010. If Dynamotive’s BioOil
is used as heating oil or upgraded to
transportation fuel, it could potentially
83 Based on a December 15, 2009 telephone
conversation with Fiberight CEO, Craig Stuart-Paul
and follow-up e-mail correspondence.
84 Based on a November 9, 2009 telephone
conversation with Cello Energy CEO, Jack Boykin.
85 According to Dynamotive’s Web site, the
Guelph plant has a capacity to convert 200 tonnes
of biomass into BioOil per day. If all modules are
fully operational, the plant has the ability to process
66,000 dry tons of biomass per year with an energy
output equivalent to 130,000 barrels of oil. The
West Lorne plant has a capacity to convert 130
tonnes of biomass into BioOil per day which, if
proportional to the Guelph plant, translates to an
energy-equivalent of 84,500 barrels of oil.
According to a November 3, 2009 press release,
Dynamotive has contracts in place to supply a U.S.based client with at least nine shipments of BioOil
in 2010.
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count towards meeting the cellulosic
biofuel standard in 2010.
As for the Range Fuels plant,
construction of phase one in Soperton,
GA is about 85% complete, with startup planned for mid-2010. However,
there have been some changes to the
scope of the project that will limit the
amount of cellulosic biofuel that can be
produced in 2010. The initial capacity
has been reduced from 10 to 4 million
gallons per year. In addition, since they
plan to start up the plant using a
methanol catalyst they are not expected
to produce qualifying renewable fuel in
2010. During phase two of their project,
currently slated for mid-2012, Range
plans to expand production at the
Soperton plant and transition from a
methanol to a mixed alcohol catalyst.
This will allow for a greater alcohol
production potential as well as a greater
cellulosic biofuel production
potential.86
Overall, our most recent industry
assessment suggests that there could
potentially be over 30 MGY of cellulosic
biofuel production capacity online by
the end of 2010.87 However, since most
of the plants are still under construction
today, the amount of cellulosic biofuel
produced in 2010 will be contingent
upon when and if these plants come
online and whether the projects get
delayed due to funding or other reasons.
In addition, based on our discussions
with the developing industry, it is clear
that we cannot count on demonstration
plants to produce at or near capacity in
2010, or in their first few years of
operation for that matter. The amount of
cellulosic biofuel actually realized will
depend on whether the process works,
the efficiency of the process, and how
regularly the plant is run. As mentioned
earlier, most small plants, including
commercial demonstration plants, are
not operated continuously. As such, we
cannot base the standard on these plants
running at capacity—at least until the
industry develops further and proves
that such rates are achievable. We
currently estimate that production from
first-of-its kind plants could be
somewhere in the 25–50% range in
2010. Together, the implementation
timelines and anticipated production
levels of the plants described above
brings the cellulosic biofuel supply
estimate to somewhere in the 6–13
million gallon range for 2010.
In addition, it is unclear how much
we can rely on Canadian plants for
86 Based on a November 5, 2009 telephone
conversation with Range Fuels VP of Government
Affairs, Bill Schafer.
87 For more information, refer to Section 1.5.3.2
of the RIA.
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cellulosic biofuel in 2010. Although we
currently receive some conventional
biofuel imports from Canada and many
of the aforementioned Canadian
companies have U.S. markets in mind,
the country also has its own renewable
fuel initiatives that could keep much of
the cellulosic biofuel produced from
coming to the United States, e.g., Iogen.
Finally, it’s unclear whether all fuel
produced by these facilities will qualify
as cellulosic biofuel under the RFS2
program. Several of the companies are
producing fuels or using feedstocks
which may not in fact qualify as
cellulosic biofuel once we receive their
detailed registration information.
Factoring in these considerations, the
cellulosic biofuel potential from the six
more likely companies described above
could result in several different
production scenarios in the
neighborhood of the recent EIA
estimate. We believe this estimate of 5
million gallons or 6.5 ethanolequivalent million gallons represents a
reasonable yet achievable level for the
cellulosic biofuel standard in 2010
considering the degree of uncertainty
involved with setting the standard for
the first year. As mentioned earlier, we
believe standard setting will be easier in
future years once the industry matures,
we start receiving production outlook
reports and there is less uncertainty
regarding feasibility of cellulosic biofuel
production.
c. Current Production Outlook for 2011
and Beyond
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Since the proposal, we have also
learned about a number of other
cellulosic biofuel projects in addition to
those described above. This includes
commercial U.S. production plans by
Coskata, Enerkem and Vercipia.
However, production isn’t slated to
begin until 2011 or later and the same
is true for most of the other larger plants
we’re aware of that are currently under
development. Nonetheless, while
cellulosic biofuel production in 2010
may be limited, it is remarkable how
much progress the industry has made in
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such a short time, and there is a
tremendous growth opportunity for
cellulosic biofuels over the next several
years.
Most of the cellulosic biofuel
companies we’ve talked to are in
different stages of proving their
technologies. Regardless of where they
are at, many have fallen behind their
original commercialization schedules.
As with any new technology, there have
been delays associated with scaling up
capacity, i.e., bugs to work out going
from pilot to demonstration to
commercialization. However, most are
saying it’s not the technologies that are
delaying commercialization, it is lack of
available funding. Obtaining capital has
been very challenging given the current
recession and the banking sector’s
financial difficulties. This is especially
true for start-up companies that do not
have access to capital through existing
investors, plant profits, etc. From what
we understand, banks are looking for
cellulosic companies to be able to show
that their plants are easily ‘‘scalable’’ or
expandable to commercial size. Many
are only considering companies that
have built plants to one-tenth of
commercial scale and have logged many
hours of continuous operation.
The government is currently trying to
help in this area. To date, the
Department of Energy (DOE) and the
Department of Agriculture (USDA) have
allocated over $720 million in federal
funding to help build pilot and
demonstration-scale biorefineries
employing advanced technologies in the
United States. The largest installment
from Recovery Act funding was recently
announced on December 4, 2009 and
includes funding for a series of larger
commercial demonstration plants
including cellulosic ethanol projects by
Enerkem and INEOS New Planet
BioEnergy, LLC. DOE has also issued
grants to help fund some of the first
commercial cellulosic biofuel plants.
Current recipients include Abengoa
Bioenergy, BlueFire Ethanol 88 and
88 Although BlueFire is still working on obtaining
financing to build its first demonstration plant, it
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14751
POET Biorefining in addition to Range
Fuels. DOE and USDA are also issuing
loan guarantees to help support the upand-coming cellulosic biofuels industry
and funding research and development.
Many states are also providing
assistance. For more information on
government support for biofuels, refer to
Section 1.5.3.3 of the RIA.
The refining industry is also helping
to fund cellulosic biofuel R&D efforts
and some of the first commercial plants.
Many of the major oil companies have
invested in advanced second-generation
biofuels over the past 12–18 months. A
few refiners (e.g., BP and Shell) have
even entered into joint ventures to
become cellulosic biofuel producers.
General Motors and other vehicle/
engine manufacturers are also providing
financial support to help with research
and development.
A summary of some of the cellulosic
biofuel companies with near-term
commercialization plans in North
America is provided in Table IV.B.3–2.
The capacities presented represent
maximum annual average throughput
based on each company’s current
production plans. However, as noted,
capacity does not necessarily translate
to production. Actual production of
cellulosic biofuel will likely be well
below capacity, especially in the early
years of production. We will continue to
track these companies and the cellulosic
biofuel industry as a whole throughout
the duration of the RFS2 program. In
addition, we will continue to
collaborate with EIA in annual standard
setting. A more detailed discussion of
the plants corresponding to these
company estimates is provided in
Section 1.5.3 of the RIA.
BILLING CODE 6560–50–P
has received two installments of federal funding
towards its first planned commercial-scale plant.
The 19 MGY plant planned for Fulton, MS
(originally planned for Southern California) was
awarded $40 million from DOE on February 28,
2008 and another $81.1 million from DOE and
USDA on December 4, 2009.
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BILLING CODE 6560–50–C
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d. Feedstock Availability
A wide variety of feedstocks can be
used for cellulosic biofuel production,
including: Agricultural residues,
forestry biomass, certain renewable
portions of municipal solid waste and
construction and demolition waste (i.e.,
separated food, yard and incidental, and
post-recycled paper and wood waste as
discussed in Section II.B.4) and energy
crops. These feedstocks are currently
much more difficult to convert into
biofuel than traditional corn/starch
crops or at least require new and
different processes because of the more
complex structure of cellulosic material.
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To determine the likely cellulosic
feedstocks for production of 16 billion
gallons cellulosic biofuel by 2022, we
analyzed the data and results from
various sources. Sources include
agricultural modeling from the Forestry
Agriculture Sector Optimization Model
(FASOM) to determine the most
economical volume of agriculture
residues, energy crops, and forestry
resources (see Section VIII for more
details on the FASOM) used to meet the
standard. We supplemented these
estimates with feedstock assessment
estimates for the biomass portions of
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municipal solid waste and construction
and demolition waste.89
The following subsections describe
the availability of various cellulosic
feedstocks and the estimated amounts
from each feedstock needed to meet the
EISA requirement of 16 Bgal of
89 It is important to note that our original plant
siting analysis for cellulosic ethanol facilities used
the most current version of outputs from FASOM
at the time, which was from April 2008. The siting
analysis was used to inform the air quality
modeling, which requires long leadtimes. Since
then, FASOM has been updated to reflect better
assumptions. Therefore, the version used for the
FRM in Section VIII on economic impacts is
different from the one used for the plant siting
analysis in the NPRM. We do not believe that the
differences between the two versions are enough to
have a major impact on the plant siting analysis.
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cellulosic biofuel by 2022. Refer to
Section IV.B.2.c.iv for the summarized
results of the types and volumes of
cellulosic feedstocks chosen based on
our analyses.
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i. Urban Waste
Cellulosic feedstocks available at the
lowest cost to the ethanol producer will
likely be chosen first. This suggests that
urban waste which is already being
gathered today and incurs a fee for its
disposal may be among the first to be
used. Urban wastes are used in a variety
of ways. Most commonly, wastes are
ground into mulch, dumped into landfills, or incinerated. We describe two
components of urban waste, municipal
solid waste (MSW) and construction
and demolition (C&D) debris, below.
MSW consists of paper, glass, metals,
plastics, wood, yard trimmings, food
scraps, rubber, leather, textiles, etc. The
portion of MSW that can qualify as
renewable biomass under the program is
discussed in Section II.B.4.d. The bulk
of the biogenic portion of MSW that can
be converted into biofuel is cellulosic
material such as wood, yard trimmings,
paper, and much of food wastes. Paper
made up approximately 31% of the total
MSW generated in 2008.90 Although
recycling/recovery rates are increasing
over time, there appears to still be a
large fraction of biogenic material that
ends up unused and in land-fills. C&D
debris is typically not available in wood
waste assessments, although some have
estimated this feedstock based on
population. Utilization of such
feedstocks could help generate energy or
biofuels for transportation. However,
despite various assessments on urban
waste resources, there is still a general
lack of reliable data on delivered prices,
issues of quality (potential for
contamination), and lack of
understanding of potential competition
with other alternative uses (e.g.,
recycling, burning for electricity).
We estimated that a total of 44.5
million dry tons of MSW (wood, yard
trimmings, paper, and food waste) and
C&D wood waste could be available for
producing biofuels after factoring in
several assumptions, e.g., percent
contamination, percent recovered or
combusted for other uses, and percent
moisture.91 92 Between the proposal and
this final rule, we have updated the
assumptions noted above based on
90 EPA. Municipal Solid Waste Generation,
Recycling, and Disposal in the United States: Facts
and figures for 2008.
91 Wiltsee, G., ‘‘Urban Wood Waste Resource
Assessment,’’ NREL/SR–570–25918, National
Renewable Energy Laboratory, November 1998.
92 Biocycle, ‘‘The State of Garbage in America,’’
Vol. 49, No. 12, December 2008, p. 22.
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newer reports. It should be noted,
however, that our estimates of urban
waste availability have not changed
significantly between the proposal and
the final rule. We assumed that
approximately 26 million dry tons (of
the total 44.5 million dry tons) could be
used to produce biofuels. However,
many areas of the U.S. (e.g., much of the
Rocky Mountains) have such sparse
resources that an MSW and C&D
cellulosic facility would not likely be
justifiable. We did assume that in areas
with other cellulosic feedstocks (forest
and agricultural residue), that the MSW
would be used even if the MSW could
not justify the installation of a plant on
its own. Therefore, we have estimated
that urban waste could help contribute
to the production of approximately 2.3
ethanol-equivalent billion gallons of
fuel.93 Note that some processes are
likely to also process other portions of
MSW (e.g., plastics, rubbers) into fuel,
but we have only accounted for the
portion expected to qualify as renewable
fuel and produce RINs.
In addition to MSW and C&D waste
generated from normal day-to-day
activities, there is also potential for
renewable biomass to be generated from
natural disasters. This includes diseased
trees, other woody debris, and C&D
debris. For instance, Hurricane Katrina
was estimated to have damaged
approximately 320 million large trees.94
Katrina also generated over 100 million
tons of residential debris, not including
the commercial sector. Much of this
waste would likely be disposed of and
therefore go unused. Collection of this
material for the generation of biofuel
could be a better alternative use for this
waste. While we acknowledge this
material could provide a large source in
the short-term, natural disasters are
highly variable, making it hard to
predict amounts of material available in
the future. Thus, for our analyses we
have not included natural disaster
renewable biomass in our estimates.
ii. Agricultural and Forestry Residues
The next category of feedstocks
chosen will likely be those that are
readily produced but have not yet been
commercially collected. This includes
both agricultural and forestry residues.
Agricultural residues are expected to
play an important role early on in the
development of the cellulosic ethanol
industry due to the fact that they are
already being grown. Agricultural crop
residues are biomass that remains in the
93 Assuming 90 gal/dry ton ethanol conversion
yield for urban waste in 2022.
94 Chambers, J., ‘‘Hurricane Katrina’s Carbon
Footprint on U.S. Gulf Coast Forests’’ Science Vol.
318, 2007.
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field after the harvest of agricultural
crops. The most common residues are
corn stover (the stalks, leaves, and/or
cobs) and straw from wheat, rice, barley,
and oats. These U.S. crops and others
produce more than 500 million tons of
residues each year, although only a
fraction can be used for fuel and/or
energy production due to sustainability
and conservation constraints.95 Crop
residues can be found all over the
United States, but are primarily
concentrated in the Midwest since corn
stover accounts for half of all available
agricultural residues.
Agricultural residues play an
important role in maintaining and
improving soil quality, protecting the
soil surface from water and wind
erosion, helping to maintain nutrient
levels, and protecting water quality.
Thus, collection and removal of
agricultural residues raise concerns
about the potential for increased
erosion, reduced crop productivity,
depletion of soil carbon and nutrients,
and water pollution. Sustainable
removal rates for agricultural residues
have been estimated in various studies,
many showing tremendous variability
due to local differences in soil and
erosion conditions, soil type, landscape
(slope), tillage practices, crop rotation
managements, and the use of cover
crops. One of the most recent studies by
top experts in the field shows that under
current rotation and tillage practices,
about 30% of corn stover (about 59
million metric tons) produced in the
U.S. could be collected, taking into
consideration erosion, soil moisture
concerns, and nutrient replacement
costs.96 The same study shows that if
farmers convert to no-till corn
management and total stover production
does not change, then approximately
50% of stover (100 million metric tons)
could be collected without causing
erosion to exceed the tolerable soil loss.
This study, however, did not consider
possible soil carbon loss which other
studies indicate may be a greater
constraint to environmentally
sustainable feedstock harvest than that
needed to control water and wind
95 Elbehri, Aziz. USDA, ERS. ‘‘An Evaluation of
the Economics of Biomass Feedstocks: A Synthesis
of the Literature. Prepared for the Biomass Research
and Development Board,’’ 2007; Since 2007, a final
report has been released. Biomass Research and
Development Board., ‘‘The Economics of Biomass
Feedstocks in the United States: A Review of the
Literature,’’ October 2008.
96 Graham, R.L., ‘‘Current and Potential U.S. Corn
Stover Supplies,’’ American Society of Agronomy
99:1–11, 2007.
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erosion.97 Experts agree that additional
studies are needed to further evaluate
how soil carbon and other factors affect
sustainable removal rates. Despite
unclear guidelines for sustainable
removal rates due to the uncertainties
explained above, our agricultural
modeling analysis assumes that no
stover is removable on conventional
tilled lands, 35% of stover is removable
on conservation tilled lands, and 50% is
removable on no-till lands. In general,
these removal guidelines are
appropriate only for the Midwest, where
the majority of corn is currently grown.
As already noted, removal rates will
vary by region due to local differences.
Given the current understanding of
sustainable removal rates, we believe
that such assumptions are reasonably
justified. Based on our research, we also
note that calculating residue
maintenance requirements for the
amount of biomass that must remain on
the land to ensure soil quality is another
approach for modeling sustainable
residue collection quantities. This
approach would likely be more accurate
for all landscapes as site-specific
conditions such as soil type,
topography, etc. could be taken into
account. This would prevent sitespecific soil erosion and soil quality
concerns that would inevitably exist
when using average values for residue
removal rates across all soils and
landscapes. At the time of our analyses,
however, we had limited data on which
to accurately apply this approach and
therefore assumed the removal
guidelines based on tillage practices.
Our agricultural modeling (FASOM)
suggests that corn stover will make up
the majority of agricultural residues
used by 2022 to meet the EISA
cellulosic biofuel standard (4.9 ethanolequivalent Bgal).98 Smaller
contributions are expected to come from
other crop residues including sugarcane
bagasse (0.6 ethanol-equivalent Bgal),
wheat residues (0.1 ethanol-equivalent
Bgal), and sweet sorghum pulp (0.1
ethanol-equivalent Bgal).99
The U.S. also has vast amounts of
forest resources that could potentially
97 Wilhelm, W.W. et al., ‘‘Corn Stover to Sustain
Soil Organic Carbon Further Constrains Biomass
Supply,’’ Agron. J. 99:1665–1667, 2007.
98 Assuming 92.3 gal/dry ton ethanol conversion
yield for corn stover in 2022.
99 Bagasse is a byproduct of sugarcane crushing
and not technically an agricultural residue. Sweet
sorghum pulp is also a byproduct of sweet sorghum
processing. We have included it under this heading
for simplification due to sugarcane and sorghum
being an agricultural feedstock.
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provide feedstock for the production of
cellulosic biofuel. One of the major
sources of woody biomass could come
from logging residues. The U.S. timber
industry harvests over 235 million dry
tons annually and produces large
volumes of non-merchantable wood and
residues during the process.100 Logging
residues are produced in conventional
harvest operations, forest management
activities, and clearing operations. In
2004, these operations generated
approximately 67 million dry tons of
forest residues that were left uncollected
at harvest sites.101 Other feedstocks
include those from other removal
residues, thinnings from timberland,
and primary mill residues.
For the NPRM, FASOM was not able
to model forestry biomass as a potential
feedstock. As a result, we relied on
USDA-Forest Service (FS) for
information on the forestry sector at the
time. For the final rule, we were able to
incorporate the forestry sector model in
FASOM. EISA does not allow forestry
material from national forests and virgin
forests that could be used to produce
biofuels to count towards the renewable
fuels requirement under EISA.
Therefore, our modeling of forestry
biomass excluded such material. The
FASOM model estimated that
approximately 0.1 ethanol-equivalent
billion gallons would be produced from
forestry biomass to meet EISA.
challenges with using dedicated energy
crops.
In addition to estimating the extent
that agricultural residues might
contribute to cellulosic ethanol
production, FASOM also estimated the
contribution that energy crops might
provide (7.9 ethanol-equivalent Bgal).102
FASOM covers all cropland and
pastureland in production in the 48
contiguous United States. For the
NPRM, FASOM did not contain all
categories of grassland and rangeland
captured in USDA’s Major Land Use
data sets. For the final rule, FASOM
accounts for all major land categories,
including forestland and rangeland. All
crop production, including dedicated
energy crops, takes place on cropland.
Land categories that can be converted to
cropland production include cropland
pasture, forest pasture, and forestland.
More detail can be found in Chapter VIII
of this preamble. Furthermore, we
constrained FASOM to be consistent
with the 2008 Farm Bill and assumed 32
million acres would stay in
Conservation Reserve Program (CRP).103
Other models, such as USDA’s Regional
Environment and Agriculture
Programming (REAP) model and
University of Tennessee’s POLYSYS
model, have shown that the use of
energy crops to meet EISA could be
significant, similar to our FASOM
modeling results for the final rule.104
iii. Dedicated Energy Crops
While urban waste, agricultural
residues and forest residues will likely
be the first feedstocks used in the
production of cellulosic biofuel, there
may be limitations to their use due to
land availability and sustainable
removal rates. Energy crops which are
not yet grown commercially but have
the potential for high yields and a series
of environmental benefits could help
provide additional feedstocks in the
future. Dedicated energy crops are plant
species grown specifically for energy
purposes. Various perennial plants have
been researched as potential dedicated
feedstocks, including switchgrass,
mixed prairie grasses, hybrid poplar,
miscanthus, energy cane, energy
sorghum, and willow trees. Refer to
Section 1.1.2.2 of the RIA for more
information on the benefits and
iv. Summary of Cellulosic Feedstocks
for 2022
100 Smith, W. Brad et al., ‘‘Forest Resources of the
United States, 2002 General Technical Report NC–
241,’’ St. Paul, MN: U.S. Dept. of Agriculture, Forest
Service, North Central Research Station, 2004.
101 USDA-Forest Service. ‘‘Timber Products
Output Mapmaker Version 1.0.’’ 2004.
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Table IV.B.3–3 summarizes our
internal estimate of the types of
cellulosic feedstocks projected to be
used and their corresponding volume
contribution to 16 billion gallons
cellulosic biofuel by 2022 for the
purposes of our impacts assessment.
The majority of feedstock is projected to
come from dedicated energy crops.
Other feedstocks include agricultural
residues, forestry biomass, and urban
waste.
102 Assuming 16 Bgal cellulosic biofuel total, 2.3
Bgal from Urban Waste; 13.7 Bgal of cellulosic
biofuel for ag residues, forestry biomass, and/or
energy crops would be needed.
103 Beside the economic incentive of a farmer
payment to keep land in CRP, local environmental
interests may also fight to maintain CRP land for
wildlife preservation. Also, we did not know what
portion of the CRP is wetlands which likely could
not support harvesting equipment.
104 Biomass Research and Development Initiative
(BR&DI), ‘‘Increasing Feedstock Production for
Biofuels: Economic Drivers, Environmental
Implications, and the Role of Research,’’ https://
www.brdisolutions.com, December 2008.
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TABLE IV.B.3–3—CELLULOSIC FEED- conversion processes is to change the
STOCKS ASSUMED TO MEET EISA IN properties of a variety of feedstocks to
more closely match those of petroleum
2022 105
Volume
(ethanolequivalent
Bgal)
Feedstock
Agricultural Residues ................
Corn Stover .......................
Sugarcane Bagasse ..........
Wheat Residue ..................
Sweet Sorghum Pulp ........
Forestry Biomass ......................
Urban Waste .............................
Dedicated Energy Crops
(Switchgrass) ........................
5.7
4.9
0.6
0.1
0.1
0.1
2.3
Total ......................................
16.0
7.9
4. Biodiesel & Renewable Diesel
Biodiesel and renewable diesel are
replacements for petroleum diesel that
are made from plant or animal fats.
Biodiesel consists of fatty acid methyl
esters (FAME) and can be used in lowconcentration blends in most types of
diesel engines and other combustion
equipment with no modifications. The
term renewable diesel covers fuels made
by hydrotreating plant or animal fats in
processes similar to those used in
refining petroleum. Renewable diesel is
chemically analogous to blendstocks
already used in petroleum diesel, thus
its use can be transparent and its blend
level essentially unlimited. The goal of
both biodiesel and renewable diesel
diesel (such as its density, viscosity, and
storage stability) for which the engines
have been designed. The definition of
biodiesel given in applicable regulations
is sufficiently broad to be inclusive of
both fuels.106 However, the EISA
stipulates that renewable diesel that is
co-processed with petroleum diesel
cannot be counted as biomass-based
diesel for purposes of complying with
the RFS2 volume requirements.107
In general, plant and animal oils are
valuable commodities with many uses
other than transportation fuel. Therefore
we expect the primary limiting factor in
the supply of both biodiesel and
renewable diesel to be feedstock
availability and price. Expansion of
their market volumes is dependent on
being able to compete on price with the
petroleum diesel they are displacing,
which will depend largely on
continuation of current subsidies and
other incentives.
Other biomass-based diesel fuel
processes are at various stages of
development, but due to uncertainty on
production timelines, we didn’t include
these fuels in the biomass-based diesel
impact assessments.
a. Historic and Projected Production
i. Biodiesel
As of November 2009, the aggregate
production capacity of biodiesel plants
14755
in the U.S. was estimated at 2.8 billion
gallons per year across approximately
191 facilities.108 (However, at the time
of this writing it is anticipated that
capacity utilization will be
approximately 17% for calendar year
2009.) Biodiesel plants exist in nearly
all states, with the largest density of
plants in the Midwest and Southeast
where agricultural feedstocks are most
plentiful.
Table IV.B.4–1 gives data on U.S.
biodiesel production and use for recent
years, including net domestic use after
accounting for imports and exports. The
figures suggest that the industry has
grown out of proportion with actual
biodiesel demand. Reasons for this
include various state incentives to build
plants, along with state and federal
incentives to blend biodiesel, which
have given rise to an optimistic industry
outlook over the past several years.
Since the cost of capital is relatively low
for the biodiesel production process
(typically four to six percent of the total
per-gallon cost), this industry developed
along a path of more small, privatelyowned plants in comparison to the
ethanol industry, with median size less
than 10 million gallons/yr.109 These
small plants, with relatively low costs
other than feedstock, have generally
been able to survive producing well
below their nameplate capacities.
TABLE IV.B.4–1—SUMMARY OF U.S. BIODIESEL PRODUCTION AND USE
[Million gallons] 110
Year
2004
2005
2006
2007
2008
2009
...........................................
...........................................
...........................................
...........................................
...........................................
...........................................
Domestic
production
capacity
245
395
792
1,809
2,610
2,806
Domestic total production
28 ..............................................
91 ..............................................
250 ............................................
490 ............................................
776 ............................................
475 (est.) ..................................
Apparent
capacity
utilization
(percent)
11
23
32
27
30
17
Net domestic biodiesel use
27 ..............................................
91 ..............................................
261 ............................................
358 ............................................
413 ............................................
296 (est.) ..................................
Net
domestic
use as
percent of
production
96
100
104
73
53
62
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Some of this industry capacity may
not be dedicated specifically to fuel
production, instead being used to make
oleochemical feedstocks for further
conversion into products such as
surfactants, lubricants, and soaps. These
products do not show up in renewable
fuel sales figures.
During 2004–2006, demand for
biodiesel grew rapidly, but the trend of
increasing sales was quickly surpassed
by construction and start-up of new
plants Since then, periods of high
commodity prices followed by reduced
demand for transportation fuel during
105 Volumes are represented here as ethanolequivalent volumes, a mix of diesel and ethanol
volumes as described in Section IV.A, above.
106 See Section 1515 of the Energy Policy Act of
2005. More discussion of the definitions of
biodiesel and renewable diesel are given in the
preamble of the Renewable Fuel Standard
rulemaking, Section II.B.2, as published in the
Federal Register Vol. 72, No. 83, p. 23917.
107 For more detailed discussion of the definition
of coprocessing and its implications for compliance
with EISA, see Section II.B.1 of this preamble.
108 Capacity data taken from National Biodiesel
Board as of November 2009.
109 Assessment of plant capital cost based on
USDA production cost models. A publication
describing USDA modeling of biodiesel production
costs can be found in Bioresource Technology
97(2006) 671–8.
110 Capacity data taken from National Biodiesel
Board as of November 2009. Production, import,
and export figures taken from EIA Monthly Energy
Review, Table 10.4 as of December 2009.
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the economic downturn have caused
additional strain on the industry beyond
the overcapacity situation. Biodiesel
producers were able to find additional
markets overseas, and a significant
portion of the 2007 and 2008 production
was exported to Europe where fuel
prices and additional tax subsidies
helped offset high feedstock costs.
However, the EU enacted a tariff to
protect domestic producers early in
2009, after which exports dropped to a
small fraction of production.111 We
understand there may be some
additional export markets developing
within North America, but given the
uncertainty at this time, we do not
account for any biodiesel exports in our
projections.
To perform our impacts analyses for
this rule, it was necessary to forecast the
state of the biodiesel industry in the
timeframe of the fully-phased-in RFS. In
general, this consisted of reducing the
industry capacity to be much closer to
1.67 billion gallons per year by 2022
(based on the volume requirements to
meet the standard; see Section IV.A.2).
This was accomplished by considering
as screening factors the current
production and sales incentives in each
state as well as each plant’s primary
feedstock type and whether it was BQ–
9000 certified.112 Going forward
producers will compete for feedstocks
and markets may consolidate. During
this period the number of operating
plants is expected to shrink, with
surviving plants utilizing feedstock
segregation and pre-treatment
capabilities, giving them flexibility to
process any mix of feedstocks available
in their area. By the end of this period
we project a mix of large regional plants
and some smaller plants taking
advantage of local market niches, with
an overall average capacity utilization
around 85%. Table IV.B.4–2
summarizes this forecast. See Section
1.5.4 of the RIA for more details.
TABLE IV.B.4–2—SUMMARY OF PROJECTED BIODIESEL INDUSTRY CHARACTERIZATION USED IN OUR ANALYSES 113
2008
Total production capacity on-line (million gal/yr) .............................................................................................................................
Number of operating plants .............................................................................................................................................................
Median plant size (million gal/yr) .....................................................................................................................................................
Total biodiesel production (million gal) ............................................................................................................................................
Average plant utilization ..................................................................................................................................................................
ii. Renewable Diesel
Renewable diesel is a fuel (or
blendstock) produced from animal fats,
vegetable oils, and waste greases using
chemical processes similar to those
employed in petroleum hydrotreating.
These processes remove oxygen and
saturate olefins, converting the
triglycerides and fatty acids into
paraffins. Renewable diesel typically
has higher cetane, lower nitrogen, and
lower aromatics than petroleum diesel
fuel, while also meeting stringent sulfur
standards.
As a result of the oxygen and olefins
in the feedstock being removed,
renewable diesel has storage, stability,
and shipping properties equivalent to
petroleum diesel. This allows renewable
diesel fuel to be shipped in existing
2022
2,610
176
5
776
0.30
1,968
121
5
1,670
0.85
that the three largest sources of
feedstock for biodiesel will be rendered
animal fats, soy oil, and corn oil
extracted from dry mill ethanol
facilities. Renewable diesel plants are
expected to use solely animal fats due
to the fact that these feedstocks are
cheaper than vegetable oils and the
process can handle them without issue.
Comments we have received from a
large rendering company suggest there
will be adequate fats and greases
feedstocks to supply biofuels as well as
other historical uses. Table IV.B.4–3
summarizes the feedstock types, process
types, and volumes projected to be used
in 2022 for biodiesel and renewable
diesel. More details on feedstock
sources and volumes are presented in
Section 1.1.3 of the RIA.
petroleum pipelines used for
transporting fuels, thus avoiding a
significant issue with distribution of
biodiesel. For more on fuel distribution,
refer to Section IV.C.
Considering that this industry is still
in development and that there are no
long-term projections of production
volume, we base our volume estimate of
150 MMgal/yr primarily on recent
industry project announcements
involving proven technology. Due to the
current status of tax incentives, we
project all of this fuel will be produced
at stand-alone facilities.
b. Feedstock Availability
Publically available industry
information along with agricultural
commodity modeling we have done for
this rule (see Section VIII.A) suggests
TABLE IV.B.4–3—SUMMARY OF PROJECTED BIODIESEL AND RENEWABLE DIESEL FEEDSTOCK USE IN 2022
[MMgal]
Base
catalyzed
biodiesel
Acidpretreatment
biodiesel
Renewable
diesel
Virgin vegetable oil ......................................................................................................................
Corn oil from ethanol production .................................................................................................
Rendered animal fats and greases .............................................................................................
Algae oil or other advanced source ............................................................................................
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Feedstock type
660
........................
........................
100
........................
680
230
........................
........................
........................
150
........................
111 Ibid.
112 Information
on state incentives was taken from
U.S. Department of Energy Web site, accessed July
30, 2008, at https://www.eere.energy.gov/afdc/fuels/
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BQ–9000 status was taken from Biodiesel Board fact
sheet, accessed July 30, 2008.
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113 2008 capacity data taken from National
Biodiesel Board; production figures taken from EIA
Monthly Energy Review, Table 10.4 as of October
2009.
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C. Biofuel Distribution
The current motor fuel distribution
infrastructure has been optimized to
facilitate the movement of petroleumbased fuels. Consequently, there are
very efficient pipeline-terminal
networks that move large volumes of
petroleum-based fuels from production/
import centers on the Gulf Coast and the
Northeast into the heartland of the
country. In contrast, most biofuel is
produced in the heartland of the
country and needs to be shipped to the
coasts, flowing roughly in the opposite
direction of petroleum-based fuels. In
addition, while some renewable fuels
such as hydrocarbons may be
transparent to the distribution system,
the physical/chemical nature of other
renewable fuels may limit the extent to
which they can be shipped/stored
fungibly with petroleum-based fuels.
The vast majority of biofuels are
currently shipped by rail, barge and
tank truck to petroleum terminals. All
biofuels are currently blended with
petroleum-based fuels prior to use.114
Most biofuel blends can be used in
conventional vehicles. However, E85
can only be used in flex-fuel vehicles,
requires specially constructed retail
dispensing/storage equipment, and may
require special blendstocks at terminals.
These factors limit the ability of biofuels
to utilize the existing petroleum fuel
distribution infrastructure. Hence, the
distribution of renewable fuels raises
unique concerns and in many instances
requires the addition of new
transportation, storage, blending, and
retail equipment.
1. Biofuel Shipment to Petroleum
Terminals
Ethanol currently is not commonly
shipped by pipeline because it can
cause stress corrosion cracking in
pipeline walls and its affinity for water
and solvency can result in product
contamination concerns. A short
gasoline pipeline in Florida is currently
shipping batches of ethanol, and other
more extensive pipeline systems have
feasibility studies underway.115 Thus,
existing petroleum pipelines in some
areas of the country may play an
increasing role in the shipment of
ethanol. Evaluations are also currently
underway regarding the feasibility of
constructing a new dedicated ethanol
pipeline from the Midwest to the East
114 The prescribed blending ratio for a given
biofuel is based on vehicle compatibility and
emissions considerations. Some biofuels may be
found to be suitable for use without the need for
blending with petroleum-based fuel.
115 Shipment of ethanol in pipelines that carry
distillate fuels as well as gasoline presents
additional challenges.
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coast. We expect that cellulosic
distillate fuels will not have materials
compatibility issues with the existing
petroleum fuel distribution
infrastructure. Thus, there may be more
opportunity for cellulosic distillate fuel
to be shipped by pipeline. However, the
location of both ethanol and cellulosic
distillate production facilities relative to
the origination points for existing
petroleum pipelines will be a limiting
factor regarding the extent to which
pipelines can be used.
Our analysis of the shipment of
ethanol and cellulosic distillate fuels to
petroleum terminals is based on the
projections of the location of biofuel
production facilities and end use areas
contained in the NPRM. We assume that
the majority of ethanol and cellulosic
distillate fuel would be produced in the
Midwest, and that both fuels would be
shipped to petroleum terminals in a
similar fashion (by rail, barge, and tank
truck). To the extent which new biofuel
production facilities are more dispersed
than projected in the NPRM, there may
be more opportunity for both fuels to be
used closer to their point of
manufacture. This potential benefit
would primarily apply to cellulosic
ethanol and distillate production
facilities given that such facilities have
yet to be constructed, whereas most
corn-ethanol production facilities have
already been constructed in the
Midwest.
Biodiesel is currently not typically
shipped by pipeline due to concerns
that it may contaminate jet fuel that is
shipped on the same pipeline and
potential incompatibility with pipeline
gaskets and seals. Kinder Morgan’s
Plantation pipeline is currently
shipping B5 blends on segments of its
system that do not handle jet fuel. The
shipment of biodiesel by pipeline may
become more widespread and might be
expanded to systems that handle jet
fuel. However, the relatively small
production volumes from individual
biodiesel plants and the widespread
location of such production facilities
will tend to limit the extent to which
biodiesel may be shipped by pipeline.
Due to the uncertainties regarding the
extent to which pipelines might
participate in the transportation of
biofuels in the future, we assumed that
biofuels will continue to be transported
by rail, barge, and truck to petroleum
terminals as the vast majority of biofuel
volumes are today. To the extent that
pipelines do play an increasing role in
the distribution of ethanol, this may
improve reliability in supply and reduce
distribution costs. Apart from increased
shipment by pipeline, biofuel
distribution, and in particular ethanol
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14757
distribution can be further optimized
primarily through the expanded use of
unit trains.116 We anticipate that the
vast majority of ethanol and cellulosic
distillate facilities will be sized to
facilitate unit train service.117 We do not
expect that biodiesel facilities will be of
sufficient size to justify shipment by
unit train. In the NPRM, we projected
that unit train receipt facilities would be
located at petroleum terminals and
existing rail terminals. Based on
industry input regarding the logistical
hurdles in locating unit train receipt
facilities at petroleum/existing rail
terminals, we expect that such facilities
will be constructed on dedicated
property with rail access that is as close
to petroleum terminals as practicable.118
Shipment of biofuels by manifest rail
to existing rail terminals will continue
to be an important means of supplying
biofuels to distant markets where the
volume of the production facility and/
or the local demand is not sufficient to
justify shipment by unit train.119
Shipments by barge will also play an
important role in those instances where
production and demand centers have
water access and in some cases as the
final link from a unit train receipt
facility to a petroleum terminal. Direct
shipment by tank truck from production
facilities to petroleum terminals will
also continue for shipment over
distances shorter than 200 miles.
We project that most biofuel volumes
shipped by rail will be delivered to
petroleum terminals by tank truck.120
We expect that this will always be the
case for manifest rail shipments. In the
NPRM, we projected that trans-loading
of biofuels from rail cars to tank trucks
would be an interim measure until
biofuel storage tanks were
constructed.121 Based on industry input,
we now expect trans-loading will be a
long-term means of transferring manifest
rail car shipments of biofuels received at
116 Unit trains are composed of 70 to 100 rail cars
that are dedicated to shuttle back and forth from
production facilities downstream receipt facilities
near petroleum terminals.
117 A facility exists in Iowa to consolidate rail cars
of ethanol from some ethanol plants that are not
large enough to support unit train service by
themselves.
118 Existing unit train receipt facilities have
primarily followed this model.
119 Manifest rail shipment refers to the shipment
of rail cars of biofuels in trains that also carry other
products.
120 At least one current ethanol unit train receipt
facility has a pipeline link to a nearby terminal. To
the extent that additional unit train receipt facilities
could accomplish the final link to petroleum
terminals by pipeline, this would significantly
reduce the need for shipment by tank truck.
121 Trans-loading refers to the direct transfer of
the contents of a rail car to a tank truck without the
intervening delivery into a storage tank.
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existing rail terminals to tank trucks for
delivery to petroleum terminals. We
also anticipate that trans-loading will be
used at some unit train receipt facilities,
although we expect that most of these
facilities will install biofuel storage
tanks from which tank trucks will be
filled for delivery to petroleum
terminals. Imported biofuels will
typically be received and be further
distributed by tank truck from
petroleum terminals that already have
receipt facilities for waterborne fuel
shipments.
We anticipate that the deployment of
the necessary distribution infrastructure
to accommodate the shipment of
biofuels to petroleum terminals is
achievable.122 We believe that
construction of the requisite rail cars,
barges, tank trucks, tank truck and rail/
barge/truck receipt facilities is within
the reach of corresponding construction
firms.123 Although shipment of biofuels
by rail represents a major fraction of all
biofuel ton-miles, it is projected to
account for approximately 0.4% of all
rail freight by 2022. Many
improvements to the freight rail system
will be required in the next 15 years to
keep pace with the large increase in the
overall freight demand. Given the broad
importance to the U.S. economy of
meeting the anticipated increase in
freight rail demand, and the substantial
resources that seem likely to be focused
on this cause, we believe that overall
freight rail capacity would not be a
limiting factor to the successful
implementation of the biofuel
requirements under EISA.
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2. Petroleum Terminal Accommodations
Terminals will need to install
additional storage capacity to
accommodate the volume of biofuels
that we anticipate will be used in
response to the RFS2 standards.
Petroleum terminals will also need to
install truck receipt facilities for
biofuels and equipment to blend
biofuels into petroleum-based fuels.
Upgrades to barge receipt facilities to
handle deliveries of biofuels may also
be needed at petroleum terminals with
water access. Biodiesel storage and
blending facilities will need to be
insulated/heated in cold climates to
prevent biodiesel from gelling.124
Questions have been raised about the
122 See Section 1.6 of the RIA for additional
discussion of the challenges in distributing biofuels
from the production/import facility to the end user.
123 Vessels that transport biodiesel will need to be
heated/insulated in cold climates to prevent gelling.
124 Some terminals are avoiding the need for
heated/insulated biodiesel facilities by storing high
biodiesel blends (e.g. B50) for blending with
petroleum-based diesel fuel.
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ability of some terminals to install the
needed storage capacity due to space
constraints and difficulties in securing
permits.125 Overall demand for fuel
used in motor vehicles is expected to
remain relatively constant through 2022.
Thus, much of the increased demand for
biofuel storage could be accommodated
by modifying storage tanks previously
used for the gasoline and petroleumbased diesel fuels that would displaced
by biofuels. The areas served by existing
terminals also often overlap. In such
cases, one terminal might be space
constrained while another serving the
same area may be able to install the
additional capacity to meet the increase
in demand. In cases where it is
impossible for existing terminals to
expand their storage capacity due to a
lack of adjacent available land or
difficulties in securing the necessary
permits, new satellite storage or new
separate terminal facilities may be
needed for additional storage of
biofuels. However, we believe that there
would be few such situations.
In the NPRM, we stated the current
EPA policy that the RFG and antidumping regulations currently require
certified gasoline to be blended with
denatured ethanol to produce E85. We
also stated that if terminal operators add
blendstocks to finished gasoline for use
in manufacturing E85, the terminal
operator would need to register as a
refiner with EPA and meet all
applicable standards for refiners.
Commenters questioned these
statements. As we are not taking any
action in this final rule with respect to
policies surrounding E85, we will
consider these comments outside the
context of this rule.
3. Potential Need for Special
Blendstocks at Petroleum Terminals for
E85
ASTM International is considering a
proposal to lower the minimum ethanol
concentration in E85 to facilitate
meeting ASTM minimum volatility
specifications in cold climates and
when only low vapor pressure gasoline
is available at terminals.126 Commenters
have stated that the current proposal to
lower the minimum ethanol
concentration to 68 volume percent may
not be sufficient for this purpose. ASTM
International may consider an
additional proposal to further decrease
the minimum ethanol concentration.
Absent such an adjustment, a highvapor pressure petroleum-based
125 The Independent Fuel Terminal Operators
Association represents terminals in the Northeast.
126 Minimum volatility specifications were
established by ASTM to address safety and vehicle
driveability considerations.
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blendstock such as butane would need
to be supplied to most petroleum
terminals to produce E85 that meets
minimum volatility specifications. In
such a case, butane would need to be
transported by tank truck from
petroleum refineries to terminals and
storage and blending equipment would
be needed at petroleum terminals.127
Instead of lowering the minimum
ethanol concentration of E85, some
stakeholders are discussing establishing
a new high-ethanol blend for use in flexfuel vehicles. Such a fuel would have a
minimum ethanol concentration that
would be sufficient to allow minimum
volatility specifications to be satisfied
while using finished gasoline that is
already available at petroleum
terminals.128 E85 would continue to be
marketed in addition to this new fuel for
use in flex-fuel vehicles when E85
minimum volatility considerations
could be satisfied.
We believe that industry will resolve
the concerns over the ability to meet the
minimum volatility needed for highethanol blends used in flex-fuel vehicles
in a manner that will not necessitate the
use of high-vapor pressure blendstocks
in their manufacture. Nevertheless,
petroleum terminals may find it
advantageous to blend butane into E85
because of the low cost of butane
relative to gasoline provided that the
cost benefit outweighs the associated
butane distribution costs.129
4. Need for Additional E85 Retail
Facilities
The number of additional E85 retail
facilities needed to consume the volume
of ethanol used under EISA varies
substantially depending on the control
case. Under our primary mid-ethanol
scenario, we estimate that by 2022 an
additional 19,765 E85 retail facilities
would be needed relative to the AEO
reference case to enable the
consumption of the ethanol that we
project would be used in E85.130 Under
127 See Section 1.6 of the RIA for a discussion of
the potential distribution of butane to petroleum
terminals for blending with E85 and Section 4.2 for
the potential costs.
128 Such a new fuel might have a lower ethanol
concentration of 60% and a maximum ethanol
concentration of 85%.
129 EPA may consider reevaluating its policies
regarding the blendstocks used in the manufacture
of E85 to facilitate this practice.
130 See Section 1.6 of the RIA for a discussion of
the projected number of E85 refueling facilities that
would be needed. There would need to be a total
of 24,265 E85 retail facilities under the primary
scenario, 4,500 of which are projected to have been
placed in service absent the RFS2 standards under
the AEO reference case. Our analysis assumes the
installation of new dispensers and underground
storage tank (UST) systems for E85. EPA’s Office of
Underground Storage Tanks requires that UST
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the high-ethanol scenario, we estimate
that an additional 23,809 E85 facilities
would be needed and that 4,500 E85
facilities that would otherwise be in
place would need to be upgraded to
include more E85 dispensers by 2022.
Whereas under the low-ethanol volume
scenario, we project that 11,677
additional E85 facilities would be
needed by 2022.
On average, approximately 1,520
additional E85 facilities will be needed
each year from 2010 through 2022 under
our primary scenario. Under the high
and low ethanol scenarios, an additional
1,820 and 900 E85 retail facilities per
year respectively would be needed.
Under the high ethanol case and to a
lesser extent under the primary case,
this represents an aggressive timeline
for the addition of new E85 facilities
given that there are approximately 2,000
E85 retail facilities in service today.
Nevertheless, we believe the addition of
these new E85 facilities may be possible
for the industries that manufacture and
install E85 retail equipment.
Underwriters Laboratories requires that
E85 refueling dispenser systems must be
certified as complete units.131 To date,
no complete E85 dispenser systems
have been certified by UL. We
understand that all the fuel dispenser
components with the exception of the
hoses that connect to the refueling
nozzle have successfully passed the
necessary testing. There does not appear
to be a technical difficulty in finding
hoses that can pass the required testing.
Therefore, we anticipate this situation
will be resolved once the demand for
new E85 facilities is demonstrated.
Hence, we believe that the current lack
of a UL certification for complete E85
dispenser systems will not impede the
installation of the additional E85
facilities that we projected will be
needed.
Petroleum retailers expressed
concerns about their ability to bear the
cost installing the needed E85 refueling
equipment given that most retailers are
small businesses and have limited
capital resources. They also expressed
concern regarding their ability to
discount the price of E85 relative to E10
sufficiently to persuade flexible fuel
vehicle owners to choose E85 given the
lower energy density of ethanol. Today’s
rule does not contain a requirement for
retailers to carry E85. We understand
that retailers will only install E85
systems must be compatible with the fuel stored.
Authorities who Have Jurisdiction (such as local
fire marshals) typically require that fuel dispensers
be listed by an organization such as Underwriters
Laboratories.
131 See https://ulstandardsinfonet.ul.com/
outscope/0087A.html.
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facilities if they can be assured of
sufficient E85 throughput to recover
their capital costs. The current
projections regarding the future cost of
gasoline relative to ethanol indicate that
it may be possible to price E85 in a
competitive fashion to E10. Thus,
demand for E85 may be sufficient to
encourage retailers to install the needed
E85 refueling facilities.
D. Ethanol Consumption
1. Historic/Current Ethanol
Consumption
Ethanol and ethanol-gasoline blends
have a long history as automotive fuels.
In fact, the well-known Model-T was
capable of running on both ethanol and
gasoline.132 However, inexpensive
crude oil prices kept ethanol from
making a significant presence in the
transportation sector until the end of the
20th century. Over the past decade,
ethanol use has grown rapidly due to
oxygenated fuel requirements, MTBE
bans, tax incentives, state mandates, the
first federal renewable fuels standard
(‘‘RFS1’’), and rising crude oil prices.
Although the cost of crude has come
down since reaching record levels in
2008, uncertainty surrounding pricing
and the environmental implications of
fossil fuels continue to drive ethanol
use.
A record 9.5 billion gallons of ethanol
were blended into U.S. gasoline in 2008
and EIA is forecasting additional growth
in the years to come.133 According to
their recently released Short-Term
Energy Outlook (STEO), EIA is
forecasting 0.7 million barrels of daily
ethanol use in 2009, which equates to
10.7 billion gallons. The October 2009
STEO projects that total ethanol usage
(domestic production plus imports) will
reach 12.1 billion gallons by 2010.134
The National Petrochemical and
Refiners Association (NPRA) estimates
that ethanol is currently blended into
about 75 percent of all gasoline sold in
the United States.135 The vast majority
is blended as E10 or 10 volume percent
ethanol, although a small amount is
blended as E85 for use in flexible fuel
vehicles (FFVs).
Complete saturation of the gasoline
market with E10 is referred to as the
ethanol ‘‘blend wall.’’ The height of the
blend wall in any given year is directly
related to gasoline demand. In AEO
132 The Model T was also capable of running on
kerosene.
133 EIA, Monthly Energy Review, September 2009
(Table 10.2b).
134 Letter from Richard Newell, EIA
Administrator to Lisa Jackson, EPA Administrator
dated October 29, 2009 (Table 1).
135 Based on comments provided by NPRA (EPA–
HQ–OAR–2005–0161–2124.1).
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2009, EIA projects that gasoline demand
will peak around 2013 and then start to
taper off due to vehicle fuel economy
improvements. Based on the primary
ethanol growth scenario we’re
forecasting under today’s RFS2 program,
the nation is expected to hit the 14–15
billion gallon blend wall by around
2014 (refer ahead to Figure IV.D.2–1),
although it could be sooner if gasoline
demand is lower than expected. It could
also be lower if projected volumes of
non-ethanol renewables do not
materialize and ethanol usage is higher
than expected.
Over the years there have been several
policy attempts to increase FFV sales
including Corporate Average Fuel
Economy (CAFE) credits and
government fleet alternative-fuel vehicle
requirements. As a result, there are an
estimated 8 million FFVs on the road
today, up from just over 7 million in
2008. While this is not insignificant in
terms of growth, FFVs continue to make
up less than 4 percent of the total
gasoline vehicle fleet. In addition, E85
is only currently offered at about 1
percent of gas stations nationwide.
Ethanol consumption is currently
limited by the number of FFVs on the
road and the number of E85 outlets or,
more specifically, the number of FFVs
with access to E85. Still many FFV
owners with access to E85 are not
choosing it because it is currently priced
almost 40 cents per gallon higher than
conventional gasoline on an energy
equivalent basis.136 According to EIA,
only 12 million gallons of E85 were
consumed in 2008.137
To meet today’s RFS2 requirements
we are going to need to see growth in
FFV and E85 infrastructure as well as
changes in retail pricing and consumer
behavior. However, the amount of
change needed is proportional to the
amount of ethanol observed under the
RFS2 program. As explained in Section
IV.A, EPA expects total ethanol demand
could be anywhere from 17.5 to 33.2
billion gallons in 2022, depending on
the amount of non-ethanol cellulosic
biofuels that are realized. The lowethanol case would require only
moderate changes in FFV/E85
infrastructure and refueling whereas the
high-ethanol case would require very
dramatic changes and likely a mandate.
For the final rule, we have chosen to
focus our impact analyses on the
primary mid-ethanol case of 22.2 billion
gallons. A discussion of how this
136 Based on average E85 and regular unleaded
gasoline prices reported at https://
www.fuelgaugereport.com/on November 23, 2009.
137 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 2).
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volume of ethanol could be consumed
in 2022 with expanded FFV/E85
infrastructure is presented below. As
expected, the infrastructure changes
required under this FRM scenario are
less extreme than those highlighted in
the proposal based on a predominant
ethanol world (34.2 billion gallons of
ethanol). However, there are additional
technological, logistical and financial
barriers that will need to be overcome
with respect to commercialization of
BTL and non-ethanol cellulosic
biofuels. For more on cellulosic diesel
technologies, distribution impacts, and
production costs, refer to Sections 1.4,
1.6 and 4.1 of the RIA.
As shown above, we are anticipating
almost 14 billion gallons of non-ethanol
advanced biofuels under today’s RFS2
program. But overall, ethanol is
expected to continue to be the nation’s
primary biofuel with over 22 billion
gallons in 2022. To get beyond the blend
wall and consume more than 14–15
billion gallons of ethanol, we are going
to need to see increases in the number
FFVs on the road, the number of E85
retailers, and the FFV E85 refueling
frequency.
It is possible that conventional
gasoline (E0) could continue to co-exist
with E10 and E85 for quite some time.
However, for analysis purposes, we
have assumed that E10 would replace
E0 as expeditiously as possible and that
all subsequent ethanol growth would
come from E85. Furthermore, we
assumed that no ethanol consumption
would come from the mid-level ethanol
blends (e.g., E15) under our primary
control case since they are not currently
approved for use in non-FFVs. However,
as a sensitivity analysis, we have
examined the impacts that E15 would
have on ethanol consumption (refer to
Section IV.D.3).
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2. Increased Ethanol Use Under RFS2
Under the primary ethanol growth
scenario considered as part of today’s
rule, ethanol consumption will need to
a. Projected Gasoline Energy Demand
The maximum amount of ethanol our
country is capable of consuming in any
given year is a function of the total
gasoline energy demanded by the
transportation sector. Our nation’s
gasoline energy demand is dependent
on the number of gasoline-powered
vehicles on the road, their average fuel
economy, vehicle miles traveled (VMT),
and driving patterns. For analysis
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be about three times higher than RFS1
levels, more than twice as much as
today’s levels, and 9 billion gallons
higher than the ethanol predicted to
occur in 2022 absent RFS2 (according to
AEO 2007). To get to 22.2 billion gallons
of ethanol use according to the potential
ramp-up described in Section 1.2 of the
RIA, the nation is predicted to hit the
blend wall in 2014 as shown below in
Figure IV.D.2–1.
purposes, we relied on the gasoline
energy projections provided by EIA in
the AEO 2009 final release.138 AEO
2009 takes the fuel economy
improvements set by EISA into
consideration and also assumes a slight
dieselization of the light-duty vehicle
fleet.139 It also takes the recession’s
impacts on driving patterns into
consideration. The result is a 25%
reduction in the projected 2022 gasoline
138 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 2).
139 The gasoline energy demand forecast provided
in AEO 2009—ARRA Update is reasonably
consistent with the recently Proposed Rulemaking
To Establish Light-Duty Vehicle Greenhouse Gas
Emission Standards and Corporate Average Fuel
Economy Standards (referred to hereafter as the
‘‘Light-Duty Vehicle GHG Rule.’’ For more
information on the Light-Duty Vehicle GHG Rule,
refer to 74 FR 49454 (September 28, 2009).
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energy demand from AEO 2007 (a preEISA world) to AEO 2009.140 EIA
essentially has total gasoline energy
demand (petroleum-based gasoline plus
ethanol) flattening out, and even slightly
decreasing, as we move into the future.
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b. Projected Growth in Flexible Fuel
Vehicles
Over one million FFVs were sold in
both 2008 and 2009 according to EPA
certification data. Despite the recession
and current state of the auto industry,
automakers are incorporating more and
more FFVs into their light-duty
production plans. While the FFV system
(i.e., fuel tank, sensor, delivery system,
etc.) used to be an option on some
vehicles, most automakers are moving
in the direction of converting entire
product lines over to E85-capable
systems. Still, the number of FFVs that
will be manufactured and purchased in
future years is uncertain.
To measure the impacts of increased
volumes of renewable fuel, we
considered three different FFV
production scenarios that might
correspond to the three biofuel control
cases analyzed for the final rule. For all
three cases, we assumed that total lightduty vehicle sales would follow AEO
2009 trends. The latest EIA report
suggests lower than average sales in
2008–2013 (less than 16 million
vehicles per year) before rebounding
and growing to over 17 million vehicles
by 2019.141 These vehicle projections
are consistent with EPA’s recently
proposed Light-Duty Vehicle GHG
Rule.142
Although we assumed total vehicle
and car/truck sales would be the same
in all three cases, we assumed varying
levels of FFV production. For our lowethanol control case, we assumed steady
business-as-usual FFV growth according
to AEO 2009 predictions.143 For our
primary mid-ethanol control case, we
assumed increased FFV sales under the
presumption that GM, Ford and
Chrysler (referred to hereafter as the
‘‘Detroit 3’’) would follow through with
their commitment to produce 50% FFVs
by 2012. Despite the current state of the
economy and the hardships facing the
auto industry (GM and Chrysler filed for
bankruptcy earlier this year), the Detroit
3 appear to still be moving forward with
140 EIA, Annual Energy Outlooks 2007 & 2009—
ARRA Update (Table 2).
141 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 47).
142 Rulemaking to Establish Light-Duty Vehicle
GHG Emission Standards and Corporate Average
Fuel Economy Standards, 74 FR 49454 (September
28, 2009).
143 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 47).
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their voluntary FFV commitment.144
Under our primary control case, we
assumed that non-domestic FFVs sales
would track around 2%, consistent with
today’s production/plans.145 Finally, for
our high-ethanol control case, we
assumed a theoretical 80% FFV
mandate based on the Open Fuel
Standard Act of 2009 that was
reintroduced in Congress on March 12,
2009.146 Given today’s reduced vehicle
sales and gasoline demand, we believe
a mandate would be the only viable
means for consuming 32.2 billion
gallons of ethanol in 2022.
Under our primary mid-ethanol
control case, total FFV sales are
estimated at just over 4 million vehicles
per year in 2017 and beyond. This is
less aggressive than the assumptions
made in the NPRM. At that time, we
were expecting more cellulosic ethanol
which could justify higher FFV
production assumptions. We assumed
that not only would the Detroit 3 fulfill
their 50% by 2012 FFV production
commitment, non-domestic automakers
might follow suit and produce 25% FFV
in 2017 and beyond. We also assumed
that annual light-duty vehicle sales
would continue around the historical 16
million vehicle mark resulting in 6
million FFVs in 2017 and beyond.
Based on our revised vehicle/FFV
production assumptions coupled with
vehicle survival rates, VMT, and fuel
economy estimates applied in the
recently proposed Light-Duty Vehicle
GHG Rule, the maximum percentage of
fuel (gasoline/ethanol mix) that could
feasibly be consumed by FFVs in 2022
would be about 20% (down from 30%
in the NPRM). For more information on
our FFV production assumptions and
fuel fraction calculations, refer to
Section 1.7.2 of the RIA.
c. Projected Growth in E85 Access
According to the National Ethanol
Vehicle Coalition (NEVC), there are
currently 2,100 gas stations offering E85
in 44 states plus the District of
Columbia.147 While this represents
significant industry growth, it still only
translates to 1.3% of U.S. retail stations
144 Ethanol Producer Magazine, ‘‘Automakers
Maintain FFV Targets in Bailout Plans.’’ February
2009. This is consistent with information provided
in GM and Chrysler’s restructuring plans submitted
to the U.S. Department of Treasury on February 17,
2009.
145 Based on 2008 FFV certification data and 2009
projections based on the National Ethanol Vehicle
Coalition, 2009 FFV Purchasing Guide.
146 A copy of H.R. 1476 can be found at:
https://www.opencongress.org/bill/111-h1476/text.
147 NEVC Web site, accessed on November 23,
2009.
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nationwide carrying the fuel.148 As a
result, most FFV owners clearly do not
have reasonable access to E85. For our
FFV/E85 analysis, we have defined
‘‘reasonable access’’ as one-in-four
pumps offering E85 in a given area.149
Accordingly, just over 5% of the nation
currently has reasonable access to E85,
up from 4% in 2008 (based on a midyear NEVC pump estimate).150
There are a number of states
promoting E85 usage by offering FFV/
E85 awareness programs and/or retail
pump incentives. A growing number of
states are also offering infrastructure
grants to help expand E85 availability.
Currently, 10 Midwest states have
adopted a progressive Energy Security
and Climate Stewardship Platform.151
The platform includes a Regional
Biofuels Promotion Plan with a goal of
making E85 available at one third of all
stations by 2025. In addition, the
American Recovery and Reinvestment
Act of 2009 (ARRA or Recovery Act)
recently increased the existing federal
income tax credit from $30,000 or 30%
of the total cost of improvements to
$100,000 or 50% of the total cost of
needed alternative fuel equipment and
dispensing improvements.152
Given the growing number of
subsidies, it is clear that E85
infrastructure will continue to expand
in the future. However, like FFVs, we
expect that E85 station growth will be
somewhat proportional to the amount of
ethanol realized under the RFS2
program. As such, we analyzed three
different E85 growth scenarios for the
final rule that could correspond to the
three different RFS2 control cases. As an
upper bound for our high-ethanol
control case, we maintained the 70%
access assumption we applied for the
NPRM. This is roughly equivalent to all
urban areas in the United States offering
reasonable (one-in-four-station) access
148 Based on National Petroleum News gasoline
station estimate of 161,768 in 2008.
149 For a more detailed discussion on how we
derived our one-in-four reasonable access
assumption, refer to Section 1.6 of the RIA. For the
distribution cost implications as well as the cost
impacts of assuming reasonable access is greater
than one-in-four pumps, refer to Section 4.2 of the
RIA.
150 Computed as percent of stations with E85
(2,101/161,768 as of November 2009 or 1,733/
161,768 as of August 2008) divided by 25% (onein-four stations).
151 The following states have adopted the plan:
Illinois, Indiana, Iowa, Kansas, Michigan,
Minnesota, Missouri, Ohio, South Dakota and
Wisconsin. For more information, visit: https://
www.midwesterngovernors.org/resolutions/
Platform.pdf.
152 https://frwebgate.access.gpo.gov/cgi-bin/
getdoc.cgi?dbname=111_cong_bills&docid=f:
h1enr.pdf.
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to E85.153 For our other control cases we
assumed access to E85 would be lower
with the logic that retail stations (the
majority of which are independently
owned and operated and net around
$30,000 per year) would not invest in
more E85 infrastructure than what was
necessary to meet the RFS2
requirements. For our primary midethanol control case we assumed
reasonable access would grow from 4%
in 2008 to 60% in 2022 and for our lowethanol control case we assumed that
access would only grow to 40% by
2022. As discussed in Section IV.C, we
believe these E85 growth scenarios are
possible based on our assessment of
distribution infrastructure capabilities.
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d. Required Increase in E85 Refueling
Rates
As mentioned earlier, there were just
over 7 million FFVs on the road in 2008.
If all FFVs refueled on E85 100% of the
time, this would translate to about 8.3
billion gallons of E85 use.154 However,
E85 usage was only around 12 million
gallons in 2008.155 This means that, on
average, FFV owners were only tapping
into about 0.15% of their vehicles’ E85/
ethanol usage potential last year.
Assuming that only 4% of the nation
had reasonable one-in-four access to E85
in 2008 (as discussed above), this
equates to an estimated 4% E85
refueling frequency for those FFVs that
had reasonable access to the fuel.
There are several reasons behind
today’s low E85 refueling frequency. For
starters, many FFV owners may not
know they are driving a vehicle that is
capable of handling E85. As mentioned
earlier, more and more automakers are
starting to produce FFVs by engine/
product line, e.g., all 2008 Chevy
Impalas are FFVs.156 Consequently,
consumers (especially brand loyal
consumers) may inadvertently buy a
flexible fuel vehicle without making a
conscious decision to do so. And
without effective consumer awareness
programs in place, these FFV owners
153 For this analysis, we’ve defined ‘‘urban’’ as the
top 150 metropolitan statistical areas according to
the U.S. census and/or counties with the highest
VMT projections according the EPA MOVES model,
all RFG areas, winter oxy-fuel areas, low-RVP areas,
and other relatively populated cities in the
Midwest.
154 Based on average vehicle miles traveled (VMT)
and in-use fuel economy (MPG) for FFVs in the fleet
in 2008. For more information on FFV E85 fuel
consumption calculations, refer to Section 1.7.4 of
the RIA.
155 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 17).
156 NEVC, ‘‘2008 Purchasing Guide for Flexible
Fuel Vehicles.’’ Refers to all mass produced 3.5 and
3.9L Impalas. However, it is our understanding that
consumers may still place special orders for nonFFVs.
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may never think to refuel on E85. In
addition, FFV owners with reasonable
access to E85 and knowledge of their
vehicle’s E85 capabilities may still not
choose to refuel on E85. They may feel
inconvenienced by the increased
refueling requirements. Based on its
lower energy density, FFV owners will
need to stop to refuel 21% more often
when filling up on E85 over E10 (and
likewise, 24% more often when
refueling on E85 over conventional
gasoline).157 In addition, some FFV
owners may be deterred from refueling
on E85 out of fear of reduced vehicle
performance or just plain unfamiliarity
with the new motor vehicle fuel.
However, as we move into the future,
we believe the biggest determinant will
be price—whether E85 is priced
competitively with gasoline based on its
reduced energy density (discussed in
more detail in the subsection that
follows).
To comply with the RFS2 program
and consume 22.2 billion gallons of
ethanol by 2022 (under our primary
ethanol control case), not only would
we need more FFVs and more E85
retailers, we would need to see a
significant increase in the current FFV
E85 refueling frequency. Based on the
FFV and retail assumptions described
above in subsections (b) and (c), our
analysis suggests that FFV owners with
reasonable access to E85 would need to
fill up on it as often as 58% of the time,
a significant increase from today’s
estimated 4% refueling frequency. In
order for this to be possible, there will
need to be an improvement in the
current E85/gasoline price relationship.
e. Market Pricing of E85 Versus Gasoline
According to an online fuel price
survey, E85 is currently priced almost
40 cents per gallon or about 15% lower
than regular grade conventional
gasoline.158 But this is still about 30
cents per gallon higher than
conventional gasoline on an energyequivalent basis. To increase our
nation’s E85 refueling frequency to the
levels described above, E85 needs to be
priced competitively with (if not lower
than) conventional gasoline based on its
reduced energy content, increased time
spent at the pump, and limited
157 Based on our assumption that denatured
ethanol has an average lower heating value of
77,012 BTU/gal and conventional gasoline (E0) has
average lower heating value of 115,000 BTU/gal.
For analysis purposes, E10 was assumed to contain
10 vol% ethanol and 90 vol% gasoline. Based on
EIA’s AEO 2009 assumption, E85 was assumed to
contain 74 vol% ethanol and 26 vol% gasoline on
average.
158 Based on average E85 and regular unleaded
gasoline prices reported at https://
www.fuelgaugereport.com/ on November 23, 2009.
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availability. Overall, we estimate that
E85 would need to be priced about 25%
lower than E10 at retail in 2022 in order
for it to make sense to consumers.
However, ultimately it comes down to
what refiners are willing to pay for
ethanol blended as E85. The more
ethanol you try to blend as E85, the
more devalued ethanol becomes as a
gasoline blendstock. Changes to state
and Federal excise tax structures could
help promote ethanol blending as E85.
Similarly, high crude prices make E85
look more attractive. According to EIA’s
AEO 2009, crude oil prices are expected
to increase from about $80 per barrel
(today’s price) to $116/barrel by
2022.159 Based on our retail cost
calculations, ethanol would have to be
priced around $2/gallon or less in order
to be attractive to refiners for E85
blending in 2022. According to the DTN
Ethanol Center, the current rack price
for ethanol is around $2.20/gallon.160
However, as explained in Section 4.4 of
the RIA, we project that the average
ethanol delivered price will come down
in the future under the RFS2 program.
Therefore, while gasoline refiners and
markets will always have a greater profit
margin selling ethanol in low-level
blends to consumers based on volume,
they should be able to maintain a profit
selling it as E85 based on energy content
in the future.
Once the nation gets past the blend
wall, more ethanol will need to be
blended as E85 and less as E10. FFV
owners who were formerly refueling on
gasoline will need to start filling up on
E85. Under our primary control case, we
expect that 12.9 billion gallons of
ethanol would be blended as E10 and
9.3 billion gallons would be blended as
E85 to reach the 22.2 billion gallons in
2022. For more on our ethanol
consumption feasibility and retail cost
calculations, including discussion of the
other two control cases, refer to Section
1.7 of the RIA.
3. Consideration of >10% Ethanol
Blends
On March 6, 2009, Growth Energy and
54 ethanol manufacturers submitted an
application for a waiver of the
prohibition of the introduction into
commerce of certain fuels and fuel
additives set forth in section 211(f) of
the Act. This application seeks a waiver
for ethanol-gasoline blends of up to 15
percent ethanol by volume.161 On April
159 EIA, Annual Energy Outlook 2009—ARRA
Update (Table 12).
160 https://www.dtnethanolcenter.com/
index.cfm?show=10&mid=32.
161 https://www.growthenergy.org/2009/e15/
Waiver%20Cover%20Letter.pdf. Additional
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application is still under review, EPA
believes it is appropriate to address
aspects of the mid-level blend waiver in
its decision announcement on the
waiver application as opposed to
dealing with the comments and
evaluation of the potential waiver in the
preamble of today’s final rule.
Although EPA has yet to make a
waiver decision, since its approval
could have a significant impact on our
analyses that are based on the use of
E85, as a sensitivity analysis, we have
evaluated the impacts that E15 could
have on ethanol consumption
feasibility. More specifically, we have
assessed the impacts of a partial waiver
for newer technology vehicles
consistent with the direction of EPA’s
November 30, 2009 letter. We assumed
that E10 would need to continue to coexist for legacy and non-road equipment
based on consumer demand regardless
of any waiver decision. For analysis
purposes, we assumed E10 would be
marketed as premium-grade gasoline
(the universal fuel), E15 would be
marketed as regular-grade gasoline (to
maximize ethanol throughput) and, like
today, midgrade would be blended from
the two fuels to make a 12.5 vol% blend
(E12.5). In addition, we assumed that
some E15-capable vehicles would
continue to choose E10 or E12.5 based
on our knowledge of today’s premium
and midgrade sales.165
In the event of a partial waiver, it is
unclear how long it would take for E15
to be fully deployed or whether it would
ever be available nationwide. For
analysis purposes, we assumed that E15
would be fully phased in and available
at all retail stations nationwide by the
time the nation hit the blend wall, or
around 2014 for our primary control
case shown in Figure IV.D.3–1.
As modeled, a partial waiver for E15
could increase the ethanol consumption
potential from conventional vehicles to
about 19 billion gallons. Under our
primary control case (shown in Figure
IV.D.3–1), E15 could postpone the blend
wall by up to five years, or to 2019.
Although E15 would fall short of
meeting the RFS2 requirements under
this scenario, it could provide interim
relief while the county ramps up nonethanol cellulosic biofuel production
and expands E85/FFV infrastructure.
Under our high-ethanol control case, a
partial waiver for E15 could eliminate
supporting documents are available on the Growth
Energy Web site.
162 Refer to 74 FR 18228 (April 21, 2009).
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163 Refer
to 74 FR 23704 (May 20, 2009).
164 https://www.epa.gov/OMS/regs/fuels/additive/
lettertogrowthenergy11-30-09.pdf.
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165 According to EIA’s 2008 Petroleum Annual
Outlook (Table 45), midgrade and premium
comprise 13.5% of total gasoline sales.
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21, 2009, EPA issued a Federal Register
notice announcing receipt of the Growth
Energy waiver application and soliciting
comment on all aspects of it.162 On May
20, 2009, EPA issued an additional
Federal Register notice extending the
public comment period by an additional
60 days.163 The comment period ended
on July 20, 2009, and EPA is now
evaluating the waiver application and
considering the comments which were
submitted.
In a letter dated November 30, 2009,
EPA notified the applicant that, because
crucial vehicle durability information
being developed by the Department of
Energy would not be available until
mid-2010, EPA would be delaying its
decision on the application until a
sufficient amount of this information
could be included in its analysis so that
the most scientifically supportable
decision could be made.164 As the
current Growth Energy waiver
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the need for FFV or E85 infrastructure
mandates. Under our low-ethanol
control case, E15 could eliminate the
need for additional FFV/E85
infrastructure all together. For more
information, refer to Section 1.7.6 of the
RIA.
V. Lifecycle Analysis of Greenhouse
Gas Emissions
A. Introduction
As recognized earlier in this
preamble, a significant aspect of the
RFS2 program is the requirement that a
fuel meet a specific lifecycle greenhouse
gas (GHG) emissions threshold for
compliance for each of four types of
renewable fuels. This section describes
the methodology used by EPA to
determine the lifecycle GHG emissions
of biofuels, and the petroleum-based
transportation fuels that they replace.
EPA recognizes that this aspect of the
RFS2 regulatory program has received
particular attention and comment
throughout the public comment period.
Therefore, this section also will describe
the enhancements made to our approach
in conducting the lifecycle analysis for
the final rule. This section will highlight
areas where we have incorporated new
scientific data that has become available
since the proposal as well as the
approach the Agency has taken to
recognize and quantify, where
appropriate, the uncertainty inherent in
this analysis.
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1. Open and Science-Based Approach to
EPA’s Analysis
Throughout the development of EPA’s
lifecycle analysis, the Agency has
employed a collaborative, transparent,
and science-based approach. EPA’s
lifecycle methodology, as developed for
the RFS2 proposal, required breaking
new scientific ground and using
analytical tools in new ways. The work
was generally recognized as state of the
art and an advance on lifecycle
thinking, specifically regarding the
indirect impacts of biofuels.
However, the complexity and
uncertainty inherent in this work made
it extremely important that we seek the
advice and input of a broad group of
stakeholders. In order to maximize
stakeholder outreach opportunities, the
comment period for the proposed rule
was extended to 120 days. In addition
to this formal comment period, EPA
made multiple efforts to solicit public
and expert feedback on our approach.
Beginning early in the NPRM process
and continuing throughout the
development of this final rule, EPA held
hundreds of meetings with stakeholders,
including government, academia,
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industry, and non-profit organizations,
to gather expert technical input. Our
work was also informed heavily by
consultation with other federal agencies.
For example, we have relied on the
expert advice of USDA and DOE, as well
as incorporating the most recent inputs
and models provided by these Agencies.
Dialogue with the State of California
and the European Union on their
parallel, on-going efforts in GHG
lifecycle analysis also helped inform
EPA’s methodology. As described
below, formal technical exchanges and
an independent, formal peer review of
the methodology were also significant
components of the Agency’s outreach. A
key result of our outreach effort has
been awareness of new studies and data
that have been incorporated into our
final rule analysis.
Technology Exchanges: Immediately
following publication of the proposed
rule, EPA held a two-day public
workshop focused specifically on
lifecycle analysis to assure full
understanding of the analyses
conducted, the issues addressed, and
the options discussed. The workshop
featured EPA presentations on each
component of the methodology as well
as presentations and discussions by
stakeholders from the renewable fuel
community, federal agencies,
universities, and environmental groups.
The Agency also took advantage of
opportunities to meet in the field with
key, affected stakeholders. For example,
the Agency was able to twice participate
in meetings and tours in Iowa hosted by
the local renewable fuel and agricultural
community. As described in this
section, one of the many outcomes of
these meetings was an improved
understanding of agricultural and
biofuel production practices.
As indicated in the proposal, our
lifecycle results were particularly
impacted by assumptions about land
use patterns and emissions in Brazil.
During the public comment process we
were able to update and refine these
assumptions, including the
incorporation of new, improved sources
of data based on Brazil-specific data and
programs. In addition, the Agency
received more recent trends on Brazilian
crop productivity, areas of crop
expansion, and regional differences in
costs of crop production and land
availability. Lastly, we received new
information on efforts to curb
deforestation allowing the Agency to
better predict this impact through 2022.
Peer Review: To ensure the Agency
made its decisions for this final rule on
the best science available, EPA
conducted a formal, independent peer
review of key components of the
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analysis. The reviews were conducted
following the Office of Management and
Budget’s peer review guidance that
ensures consistent, independent
government-wide implementation of
peer review, and according to EPA’s
longstanding and rigorous peer review
policies. In accordance with these
guidelines, EPA used independent,
third-party contractors to select highly
qualified peer reviewers. The reviewers
selected are leading experts in their
respective fields, including lifecycle
assessment, economic modeling, remote
sensing imagery, biofuel technologies,
soil science, agricultural economics, and
climate science. They were asked to
evaluate four key components of EPA’s
methodology: (1) Land use modeling,
specifically the use of satellite data and
EPA’s proposed land conversion GHG
emission factors; (2) methods to account
for the variable timing of GHG
emissions; (3) GHG emissions from
foreign crop production (both the
modeling and data used); and (4) how
the models EPA relied upon are used
together to provide overall lifecycle
estimates.
The advice and information received
through this peer review are reflected
throughout this section. EPA’s use of
higher resolution satellite data is one
example of a direct outcome of the peer
review, as is the Agency’s decision to
retain its reliance upon this data. The
reviewers also provided
recommendations that have helped to
inform the larger methodological
decisions presented in this final rule.
For example, the reviewers in general
supported the importance of assessing
indirect land use change and
determined that EPA used the best
available tools and approaches for this
work. However, the review also
recognized that no existing model
comprehensively simulates the direct
and indirect effects of biofuel
production both domestically and
internationally, and therefore model
development is still evolving. The
uncertainty associated with estimating
indirect impacts and the difficulty in
developing precise results also were
reflected in the comments. In the long
term, this peer review will help focus
EPA’s ongoing lifecycle analysis work as
well as our future interactions with the
National Academy of Science and other
experts.
Altogether, the many and extensive
public comments we received to the
rule docket, the numerous meetings,
workshops and technical exchanges,
and the scientific peer review have all
been instrumental to EPA’s ability to
advance our analysis between proposal
and final and to develop the
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methodological and regulatory approach
described in this section.
2. Addressing Uncertainty
The peer review, the public comments
we have received, and the analysis
conducted for the proposal and updated
here for the final rule, indicate that it is
important to take into account indirect
emissions when looking at lifecycle
emissions from biofuels. It is clear that,
especially when considering commodity
feedstocks, including the market
interactions of biofuel demand on
feedstock and agricultural markets is a
more accurate representation of the
impacts of an increase in biofuels
production on GHG emissions than if
these market interactions are not
considered.
However, it is also clear that there are
significant uncertainties associated with
these estimates, particularly with regard
to indirect land use change and the use
of economic models to project future
market interactions. Reviewers
highlighted the uncertainty associated
with our lifecycle GHG analysis and
pointed to the inherent uncertainty of
the economic modeling.
In the proposal, we asked for
comment on whether and how to
conduct an uncertainty analysis to help
quantify the magnitude of this
uncertainty and its relative impact on
the resulting lifecycle emissions
estimates. The results of the peer
review, and the feedback we have
received from the comment process,
supported the value of conducting such
an analysis. Therefore, working closely
with other government agencies as well
as incorporating feedback from experts
who commented on the rule, we have
quantified the uncertainty associated
specifically with the international
indirect land use change emissions
associated with increased biofuel
production.
Although there is uncertainty in all
portions of the lifecycle modeling, we
focused our uncertainty analysis on the
factors that are the most uncertain and
have the biggest impact on the results.
For example, the energy and GHG
emissions used by a natural gas-fired
ethanol plant to produce one gallon of
ethanol can be calculated through direct
observations, though this will vary
somewhat between individual facilities.
The indirect domestic emissions are
also fairly well understood, however
these results are sensitive to a number
of key assumptions (e.g., current and
future corn yields). The indirect,
international emissions are the
component of our analysis with the
highest level of uncertainty. For
example, identifying what type of land
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is converted internationally and the
emissions associated with this land
conversion are critical issues that have
a large impact on the GHG emissions
estimates.
Therefore, we focused our efforts on
the international indirect land use
change emissions and worked to
manage the uncertainty around those
impacts in three ways: (1) Getting the
best information possible and updating
our analysis to narrow the uncertainty,
(2) performing sensitivity analysis
around key factors to test the impact on
the results, and (3) establishing
reasonable ranges of uncertainty and
using probability distributions within
these ranges in threshold assessment.
The following sections outline how we
have incorporated these three
approaches into our analysis.
EPA recognizes that as the state of
scientific knowledge continues to
evolve in this area, the lifecycle GHG
assessments for a variety of fuel
pathways will continue to change.
Therefore, while EPA is using its
current lifecycle assessments to inform
the regulatory determinations for fuel
pathways in this final rule, as required
by the statute, the Agency is also
committing to further reassess these
determinations and lifecycle estimates.
As part of this ongoing effort, we will
ask for the expert advice of the National
Academy of Sciences, as well as other
experts, and incorporate their advice
and any updated information we receive
into a new assessment of the lifecycle
GHG emissions performance of the
biofuels being evaluated in this final
rule. EPA will request that the National
Academy of Sciences over the next two
years evaluate the approach taken in
this rule, the underlying science of
lifecycle assessment, and in particular
indirect land use change, and make
recommendations for subsequent
rulemakings on this subject. This new
assessment could result in new
determinations of threshold compliance
compared to those included in this rule
that would apply to future production
(from plants that are constructed after
each subsequent rule).
B. Methodology
The regulatory purpose of this
analysis is to determine which biofuels
(both domestic and imported) qualify
for the four different GHG reduction
thresholds and renewable fuel
categories established in EISA (see
Section I.A). This threshold assessment
compares the lifecycle emissions of a
particular biofuel against the lifecycle
emissions of the petroleum-based fuel it
is replacing (e.g., ethanol replacing
gasoline or biodiesel replacing diesel).
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This section discusses the Agency’s
approach both for assessing the lifecycle
GHG emissions from biofuels as well as
for the petroleum-based fuels replaced
by the biofuels.
As described in detail below, EPA has
received a number of comments on the
different pieces of this analysis and has
thoroughly considered those comments
as well as feedback from our peer
review process. In each section below
we will discuss comments received and
how they impacted our analysis.
1. Scope of Analysis
As stated in the proposal, the
definition of lifecycle GHG emissions
established by Congress in EISA is
critical to establishing the scope of our
analysis. Congress specified that:
The term ‘‘lifecycle greenhouse gas
emissions’’ means the aggregate quantity of
greenhouse gas emissions (including direct
emissions and significant indirect emissions
such as significant emissions from land use
changes), as determined by the
Administrator, related to the full fuel
lifecycle, including all stages of fuel and
feedstock production and distribution, from
feedstock generation or extraction through
the distribution and delivery and use of the
finished fuel to the ultimate consumer, where
the mass values for all greenhouse gases are
adjusted to account for their relative global
warming potential.166
This definition forms the basis of
defining the goal and scope of our
lifecycle GHG analysis and in
determining to what extent changes
should be made to the analytical
approach outlined in our proposed
rulemaking.
a. Inclusion of Indirect Land Use
Change
EPA notes that it received significant
comment on including international
indirect emissions in its lifecycle
calculations. Most of the comments
suggested that the science of
international indirect land use change
was too new, or that the uncertainty
involved was too great, to be included
in a regulatory analysis. EPA continues
to believe that compliance with the
EISA mandate—determining ‘‘the
aggregate GHG emissions related to the
full fuel lifecycle, including both direct
emissions and significant indirect
emissions such as land use changes’’—
makes it necessary to assess those direct
and significant indirect impacts that
occur not just within the United States,
but also those that occur in other
countries.
Some commenters strongly supported
EPA’s proposal to include significant
GHG emissions that occur overseas and
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are related to the lifecycle of renewable
fuels or baseline fuels used in the
United States. These commenters agreed
that the text of the statute supports
EPA’s proposed approach, and that the
alternative of ignoring such emissions
would result in grossly inaccurate
assessments, and would be inconsistent
with the international nature of GHG
pollution and the fact that overseas
emissions have domestic impacts.
Other commenters argued that the
presumption against extraterritorial
application of domestic laws carries
with it the presumption that Congress is
concerned with domestic effects and
domestic impacts only. They assert
further that Congress intended to benefit
domestic agriculture through EISA
enactment, and that the statute’s
ambiguous terms should not be
interpreted in a manner that could harm
domestic agriculture in general or, for
one commenter, the biodiesel industry
in particular. Although considering
international emissions in its analyses
could result in different implications
under the statute for various fuels and
fuel pathways as compared to ignoring
these emissions, EPA believes that this
is precisely the outcome that Congress
intended. Implementation of EISA will
undoubtedly benefit the domestic
agricultural sector as a whole, with
some components benefiting more than
others depending in part on the lifecycle
GHG emissions associated with the
products to be made from individual
feedstocks. If Congress had sought to
promote all biofuel production without
regard to GHG emissions related to the
full lifecycle of those fuels, it would not
have specified GHG reduction
thresholds for each category of
renewable fuel for which volume targets
are specified in the Act.
It is also important to note that
including international indirect
emissions in EPA’s lifecycle analysis
does not exercise regulatory authority
over activities that occur solely outside
the U.S., nor does it raise questions of
extra-territorial jurisdiction. EPA’s
regulatory action involves an
assessment of products either produced
in the U.S. or imported into the U.S.
EPA is simply assessing whether the use
of these products in the U.S. satisfies
requirements under EISA for the use of
designated volumes of renewable fuel,
cellulosic biofuel, biomass-based diesel,
and advanced biofuel. Considering
international emissions in determining
the lifecycle GHG emissions of the
domestically-produced or imported fuel
does not change the fact that the actual
regulation of the product involves its
use solely inside the U.S.
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A number of commenters pointed to
the text and structure of the definition
of ‘‘lifecycle greenhouse gas emissions’’
to argue that EPA either is not
authorized to consider GHG emissions
related to international land use change,
or that it is not required to do so. One
commenter suggested that the reference
in the definition of ‘‘lifecycle
greenhouse gas emissions’’ to ‘‘all stages’’
of the lifecycle ‘‘from’’ feedstock
generation ‘‘through’’ use of the fuel by
the ultimate consumer does not include
indirect emissions that result from
decisions to place more land in acreage
overseas for such non-fuel purposes as
cattle feed. Another commenter stated
that EPA’s approach does not give any
meaning to the terms ‘‘significant’’ and
‘‘fuel lifecycle’’ in the definition, but
instead focuses on the words such as
‘‘full’’ to arrive at an expansive meaning.
This commenter also noted the lack of
any specific reference to international
considerations in Section 211(o), as
opposed to other provisions in the CAA,
such as Section 115.
EPA believes that a complete analysis
of the aggregate GHG emissions related
to the full lifecycle of renewable fuels
includes the significant indirect
emissions from international land use
change that are predicted to result from
increased domestic use of agricultural
feedstocks to produce renewable fuel.
The statute specifically directs EPA to
include in its analyses significant
indirect emissions such as significant
emissions from land use changes. EPA
has not ignored either the terms
‘‘significant’’ or ‘‘life cycle.’’ It is clear
from EPA’s assessments that the
modeled indirect emissions from land
use changes are ‘‘significant’’ in terms of
their relationship to total GHG
emissions for given fuel pathways.
Therefore, they are appropriately
considered in the total GHG emissions
profile for the fuels in question. EPA has
not ignored the term ‘‘life cycle.’’ The
entire approach used by EPA is directed
to fully analyzing emissions related to
the complete lifecycle of renewable and
baseline fuels.
Although the definition of lifecycle
greenhouse gas emissions in Section
211(o) does not specifically mention
international emissions, it would be
inconsistent with the intent of this
section of the amended Act to exclude
them. A large variety of activities
outside the U.S. play a major part in the
full fuel lifecycle of both baseline
(gasoline and diesel fuel used as
transportation fuel in 2005) and
renewable fuels. For example, several
stages of the lifecycle process for
gasoline and diesel can occur overseas,
including extraction and delivery of
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imported crude oil, and for imported
gasoline and diesel products, emissions
associated with refining and
distribution of the finished product to
the U.S. For imported renewable fuel,
all of the emissions associated with
feedstock production and distribution,
fuel processing, and delivery of the
finished renewable fuel to the U.S.
occur overseas. The definition of
lifecycle GHG emissions makes it clear
that EPA is to determine the aggregate
emissions related to the ‘‘full’’ fuel
lifecycle, including ‘‘all stages of fuel
and feedstock production and
distribution.’’ Thus, EPA could not, as a
legal matter, ignore those parts of a fuel
lifecycle that occur overseas.
Drawing a distinction between GHG
emissions that occur inside the U.S. as
compared to emissions that occur
outside the U.S. would result in a
lifecycle analysis that bears no apparent
relationship to the purpose of this
provision. The purpose of the
thresholds in EISA is to require the use
of renewable fuels that achieve
reductions in GHG emissions compared
to the baseline. Ignoring international
emissions, a large part of the GHG
emission associated with the different
fuels, would result in a GHG analysis
that bears no relationship to the real
world emissions impact of
transportation fuels. The baseline would
be significantly understated, given the
large amount of imported crude and
imported finished gasoline and diesel
used in 2005. Likewise, the emissions
estimates for imported renewable fuel
would be grossly reduced in comparison
to the aggregate emissions estimates for
fuels made domestically with
domestically-grown feedstocks, simply
because the impacts of domestically
produced fuels occurred within the U.S.
EPA does not believe that Congress
intended such a result.
Excluding international impacts
means large percentages of GHG
emissions would be ignored. This
would take place in a context where the
global warming impact of emissions is
irrespective of where the emissions
occur. If the purpose of thresholds is to
achieve some reduction in GHG
emissions in order to help address
climate change, then ignoring emissions
outside our borders interferes with the
ability to achieve this objective. Such an
approach would essentially undermine
the purpose of the provision, and would
be an arbitrary interpretation of the
broadly phrased text used by Congress.
One commenter stated that matters
that could appropriately be considered
part of a food lifecycle (new land
clearing for overseas grain production as
a result of decreased U.S. grain exports)
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should not be considered part of a
renewable fuel lifecycle. However, the
suggested approach would mean that
EPA would fail to account for the
significant indirect emissions that relate
to renewable fuel production. EPA
believes this would be counter to
Congressional intent. Although a life
cycle analysis of foreign food
production may also take into account
a given land use change, that does not
mean that the same land use change
should not be considered in evaluating
its ultimate cause, which may be
renewable fuel production in the United
States.
Some comments asserted that
significant GHG gas emissions from
international land use change should
not be considered if the only available
models for doing so are not generally
accepted or valid considering
economics or science, or where the
approach is new and untested, or where
the data are faulty and EPA models
unrealistic scenarios. As described in
this rulemaking, EPA has used the best
available models and substantially
modified key inputs to those models to
reflect comments by peer reviewers, the
public, and emerging science. EPA has
also modeled additional scenarios from
those described in the NPRM. EPA
recognizes that uncertainty exists with
respect to the results, and has attempted
to quantify the range of uncertainty.
While EPA agrees that application of the
models it has used in the context of
assessing GHG emissions represents
changes from previous biofuel lifecycle
modeling, EPA disagrees that it has used
faulty data, modeled unrealistic
scenarios, or that its approach is
otherwise scientifically indefensible.
Although the results of modeling GHG
emissions associated with international
land use change are uncertain, EPA has
attempted to quantify that uncertainty
and is now in a better position to
consider the uncertainty inherent in its
approach.
One commenter asserted that by
considering international land use
changes, EPA is seeking to penalize
domestic renewable fuel producers for
impacts over which they have no
control. In response, EPA disagrees that
it is seeking to penalize anyone at all.
EPA is simply attempting to account for
all GHG emissions related to the full
fuel lifecycle. Domestic renewable fuel
producers may have no direct control
over land use changes that occur
overseas as a result of renewable fuel
production and use here, but their
choice of feedstock can and does
influence oversees activities, and EPA
believes it is appropriate to consider the
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GHG emissions from those activities in
its analyses.
Some commenters noted that a
finding of causation is built into the
definitions of ‘‘indirect effects’’ in the
Endangered Species Act and the
National Environmental Policy Act, and
that EPA should interpret the reference
to ‘‘indirect emissions’ in EISA as
requiring similar findings of causation.
Specifically, they argue that for EPA to
count GHG emissions from international
land use change in its assessments, EPA
must find that renewable fuel
production ‘‘caused’’ the land use
change. In response, without addressing
the commenter’s claims regarding the
requirements of NEPA or the ESA, EPA
notes that Congress has specified in
Section 211(o) the required causal link
between a fuel and indirect emissions.
The indirect emissions must be ‘‘related
to’’ the full fuel lifecycle. EPA believes
that it has demonstrated this link
through its modeling efforts.
Specifically, the models predict that
increased demand for feedstocks to
produce renewable fuel that satisfies
EISA mandates will likely result in
international land use change. Such
change is, then, ‘‘related to’’ the full fuel
lifecycle of these fuels. EPA does not
believe that the statute requires EPA to
wait until these effects occur to
establish the required linkage, but
instead believes that it is authorized to
use predictive models to demonstrate
likely results.
The term ‘‘related to’’ is generally
interpreted broadly as meaning to have
a connection to or refer to a matter. To
determine whether an indirect emission
has the appropriate connection to the
full fuel lifecycle, we must look at both
the objectives of this provision as well
as the nature of the relationship. EPA
has used a suite of global models to
project a variety of agricultural impacts
of the RFS program, including changes
in the types of crops and number of
acres planted world-wide. These shifts
in the agricultural market are a direct
consequence of the increased demand
for biofuels in the U.S. This increased
demand diverts biofuel feedstocks from
other competing uses, and also increases
the price of the feedstock, thus spurring
additional international production. Our
analysis uses country-specific
information to determine the amount,
location, and type of land use change
that would occur to meet these changes
in production patterns. The linkages of
these changes to increased U.S. biofuel
demand in our analysis are generally
close, and are not extended or overly
complex.
Overall, EPA is confident that it is
appropriate to consider indirect
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emissions, including those from both
domestic and international land use
changes, as ‘‘related to’’ the full fuel
lifecycle, based on the results of our
modeling. These results form a
reasonable technical basis for the
linkage between the full fuel lifecycle of
transportation fuels and indirect
emissions, as well as for the
determination that these emissions are
significant. EPA believes that while
uncertainty in the resulting aggregate
GHG estimates should be taken into
consideration, it would be inappropriate
to exclude indirect emissions estimates
from this analysis. The use of reasonable
estimates of these kinds of indirect
emissions allows EPA to conduct a
reasoned evaluation of total GHG
impacts, which is needed to promote
the objectives of this provision, as
compared to ignoring or not accounting
for these indirect emissions.
EPA understands that including
international indirect land use change is
a key decision and that there is
significant uncertainty associated with
it. That is why we have taken an
approach that quantifies that
uncertainty and presents the weight of
currently available evidence in making
our threshold determinations.
b. Models Used
As described in the proposal, to
estimate lifecycle indirect impacts of
biofuel production requires the use of
economic modeling to determine the
market impacts of using agricultural
commodity feedstocks for biofuels. The
use of economic models and the
uncertainty of those models to
accurately predict future agricultural
sector scenarios was one of the main
comments we received on our analysis.
While the comments and specifically
the peer review supported our need to
use economic models to incorporate and
measure indirect impacts of biofuel
production, they also highlighted the
uncertainty with that modeling
approach, especially in projecting out to
the future.
However, it is important to note that
while there are many factors that impact
the uncertainty in predicting total land
used for crop production, making
accurate predictions of many of these
factors are not relevant to our analysis.
For example different assumptions
about economic growth rates, weather,
and exchange rates will all impact
future agricultural projections including
amount of land use for crops. However,
we are interested only in the difference
between two biofuel scenarios holding
all other changes constant. So the
absolute values and projections for
crops and other variables in the model
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projections are not as important as the
difference the model is projecting due to
an increase in biofuels production. This
limits the uncertainty of using the
economic models for our analysis.
Furthermore, one of the key
uncertainties associated with our
agricultural sector economic modeling
that has the biggest impact on land use
change results is the assumptions
around crop yields. As discussed in
Section V.A.2, we are conducting
sensitivity analysis around different
yield assumptions in our analysis.
Therefore, because of the fact that we
are only using the economic models to
determine the difference between two
projected scenarios and the fact that we
are conducting sensitivity analysis
around the yield assumptions we feel it
is appropriate and acceptable to use
economic models in our analysis of
determining GHG thresholds in our final
rule analysis.
As was the case in the proposed
analysis, to estimate the changes in the
domestic agricultural sector (e.g.,
changes in crop acres resulting from
increased demand for biofuel feedstock
or changes in the number of livestock
due to higher corn prices) and their
associated emissions, EPA uses the
Forestry and Agricultural Sector
Optimization Model (FASOM),
developed by Texas A&M University
and others. To estimate the impacts of
biofuels feedstock production on
international agricultural and livestock
production, we used the integrated Food
and Agricultural Policy and Research
Institute international models, as
maintained by the Center for
Agricultural and Rural Development
(FAPRI–CARD) at Iowa State University.
One of the main comments we
received on our choice of models was
the issue of transparency. Several
comments were concerned that the
results of EPA’s modeling efforts can not
be duplicated outside the experts who
developed the models and conducted
the analysis used by EPA in the
proposal. Upon the release of the
proposal, EPA requested comment on
the use of these various models. EPA
conducted a number of measures to
gather comments, including the public
comment period upon release of the
NPRM analysis, holding a public
workshop on the lifecycle methodology,
and conducting a peer review of the
lifecycle methodology. Specifically, one
of the major tasks of the peer review of
EPA’s lifecycle GHG methodology was
to review and comment on the use of
the various models and their linkages.
The response we received through the
peer review is supportive of our use of
the FASOM and FAPRI–CARD models,
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affirming that they are the strong and
appropriate tools for the task of
estimating land use changes stemming
from agricultural economic impacts due
to changes in biofuel policy.
In addition, in an effort to garner as
useful comments as possible and to be
as transparent as possible about the
modeling process, EPA supplied in the
docket technical documents for the
FASOM and FAPRI–CARD models, the
output received by EPA from each
model, and the models themselves such
that the public and commenters could
learn and examine how each model
operates.
Building upon the support for the use
of the FASOM and FAPRI–CARD
models, a number of important
enhancements were made to both
models in response to comments
received through the public comment
system and through the peer review,
and in consultation with various experts
on domestic and international
agronomics. These enhancements
include updated substitution rates of
corn and soybean meal for distillers
grains (DG) based on recent scientific
research by Argonne National
Laboratory, the addition of a corn oil
from the dry mill ethanol extraction
process as a source of biodiesel, the full
incorporation of FASOM’s forestry
model that dynamically interacts with
the agriculture sector model in the U.S.,
as well as the addition of a Brazil
regional model to the FAPRI–CARD
modeling system. All of these
enhancements are discussed in more
detail below and in the RIA (Chapter 2
and 5). In addition to the model
enhancements we also conducted a
sensitivity analysis on yields as part of
our final rule analysis. These updates to
our modeling and the sensitivity
analysis was done in response to public
comments specifically asking for this to
add transparency to the modeling and
modeling results.
We also received comments on the
combined use of FASOM and FAPRI–
CARD. Several comments and peer
reviewers questioned the benefit of
using two agricultural sector models.
Specifically reviewers pointed to some
of the inconsistencies in the FASOM
and FAPRI–CARD domestic results. For
the final rule analysis we worked to
reconcile the two model results. We
apply the same set of scenarios and key
input assumptions in both models. For
example, both models were updated to
apply consistent treatment of DGs in
domestic livestock feed replacement
and consistent assumptions regarding
DG export.
Some reviewers questioned the
benefits of using FASOM and suggested
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we rely entirely on the FAPRI–CARD
model for the analysis. However, we
continue to believe there are benefits to
the use of FASOM. Specifically, the fact
that FASOM has domestic land use
change interactions between crop,
pasture, and forest integrated into the
modeling is an advantage over using the
domestic FAPRI–CARD model that only
tracks cropland.
c. Scenarios Modeled
As was done for the proposal, to
quantify the lifecycle GHG emissions
associated with the increase in
renewable fuel mandated by EISA, we
compared the differences in total GHG
emissions between two future volume
scenarios in our economic models. For
each individual biofuel, we analyzed
the incremental GHG emission impacts
of increasing the volume of that fuel to
the total mix of biofuels needed to meet
the EISA requirements. Rather than
focus on the impacts associated with a
specific gallon of fuel and tracking
inputs and outputs across different
lifecycle stages, we determined the
overall aggregate impacts across sectors
of the economy in response to a given
volume change in the amount of biofuel
produced.
Volume Scenarios: The two future
scenarios considered included a
‘‘business as usual’’ volume of a
particular renewable fuel based on what
would likely be in the fuel pool in 2022
without EISA, as predicted by the
Energy Information Agency’s Annual
Energy Outlook (AEO) for 2007 (which
took into account the economic and
policy factors in existence in 2007
before EISA). The second scenario
assumed a higher volume of renewable
fuels as mandated by EISA for 2022.
We project our analysis and economic
modeling through the life of the
program. We then consider the impacts
of an increase of biofuels on the
agricultural sector in 2022 as the basis
for our threshold analysis. This was an
area that we received numerous
comments on highlighting that this
approach adds uncertainty to our results
because we are projecting uncertain
technology and other changes out into
the future. One of the recommendations
was to base the lifecycle GHG
assessments on a near term time frame
and update the analysis every few years
to capture actual technology changes.
We continue to focus our final rule
analyses on 2022 results for two main
reasons. First, it would require an
extremely complex assessment and
administratively difficult
implementation program to track how
biofuel production might continuously
change from month to month or year to
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year. Instead, it seems appropriate that
each biofuel be assessed a level of GHG
performance that is constant over the
implementation of this rule, allowing
fuel providers to anticipate how these
GHG performance assessments should
affect their production plans. Second, it
is appropriate to focus on 2022, the final
year of ramp up in the required volumes
of renewable fuel as this year.
Assessment in this year allows the
complete fuel volumes specified in
EISA to be incorporated. This also
allows for the complete implementation
of technology changes and updates that
were made to improve or modeling
efforts. For example, the inclusion of
price induced yield increases and the
efficiency gains of DGs replacement are
phased in over time. Furthermore, these
changes are in part driven by the
changes in earlier years of increased
biofuel use.
Crop Yield Scenarios: EPA received
numerous comments to the effect that
we should consider a case in our
economic models with higher yields
that what were projected for the
proposed rule analysis. There are many
factors that go into the economic
modeling but the yield assumptions for
different crops has one of the biggest
impacts on land use and land use
change. Therefore, for this analysis we
ran a base yield case and a high yield
case. This will provide two distinct
model results for key parameters like
total amount of land converted by crop
by country.
EPA’s base yield projections are
derived from extrapolating through 2022
long-term historical U.S. corn yields
from 1985 to 2009. This estimate, 183
bushels/acre for corn and 48 bushels/
acre for soybeans, is consistent with
USDA’s method of projecting future
crop yields. During the public comment
process we learned that numerous
technical advancements— including
better farm practices, seed hybridization
and genetic modification—have led to
more rapid gains in yields since 1995.
In addition, commenters, including
many leading seed companies, provided
data supporting more rapid
improvements in future yields. For
example, commenters pointed to recent
advancements in seed development
(including genetic modification) and the
general accumulation of knowledge of
how to develop and bring to market
seed varieties—factors that would allow
for a greater rate of development of seed
varieties requiring fewer inputs such as
fertilizer and pest management
applications. This new information
would suggest that the base yield may
be a conservative estimate of future
yields in the U.S. Therefore, in
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coordination with USDA experts, EPA
has developed for this final rule a high
yield case scenario of 230 bushels/acre
for corn and 60 bushels/acre for
soybeans. These figures represent the
99% upper bound confidence limit of
variability in historical U.S. yields. This
high yield case represents a feasible
high yield scenario for the purpose of a
sensitivity test of the impact on the
results of higher yields.
Feedback we received indicated that
corn and soybean yields respond in
tandem and that a high yield corn case
would also imply a higher yield for
soybeans as well. The high yield case is
therefore based on higher yield corn and
soybeans in the U.S. as well as in the
major corn and soybean producing
countries around the world. For
international yields, it is reasonable to
assume the same percent increases from
the baseline yield assumptions could
occur as we are estimating for the U.S.
Thus in the case of corn, 230 bushels
per acre is approximately 25% higher
than the U.S. baseline yield of 183
bushels per acre in 2022. This same
25% increase in yield can be expected
for the top corn producers in the rest of
the world by 2022, as justified
improvements in seed varieties and,
perhaps even more so than in the case
of the U.S., improvements in farming
practices which can take more full
advantage of the seed varieties’
potential. For example, seeds can be
more readily developed to perform well
in the particular regions of these
countries and can be coupled with
much improved farming practices as
farmers move away from historical
practices such as saving seeds from their
crop for use the next year and better
understand the economic advantages of
modern farming practices. So the high
yield scenarios would not have the same
absolute yield values in other countries
as the U.S. but would have the same
percent increase.
While we modeled a high yield
scenario for this analysis we continue to
rely primarily on the base yield
estimates in our assessments of different
biofuel lifecycle GHG emissions
recognizing that the base yields could be
conservative. The reasons outlined
above could lead to higher rates of yield
growth in the future, however, there are
mitigating factors that could limit this
yield growth or potentially cause
reductions in yield growth rates. For
example, the water requirements for
both increased corn farming and ethanol
production could lead to future water
constraints that may in some regions
limit yield growth potential.
Furthermore, one of the long term
impacts of potential global climate
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change could be a reduction in
agricultural output of different impacted
regions around the world, including the
U.S. This could also serve to reduce
yield growth. As with many aspects of
this lifecycle modeling, as the science
and data evolves on crop yields, the
Agency will update its factors
accordingly.
2. Biofuel Modeling Framework &
Methodology for Lifecycle Analysis
Components
As discussed above, to account for the
direct and indirect emissions of biofuel
production required the use of
agricultural sector economic models.
The results of these models were
combined with other data sources to
generate lifecycle GHG emissions for the
different fuels. The basic modeling
framework involved the following steps
and modeling tools.
To estimate the changes in the
domestic agricultural sector we used
FASOM, developed by Texas A&M
University and others. FASOM is a
partial equilibrium economic model of
the U.S. forest and agricultural sectors
that tracks over 2,000 production
possibilities for field crops, livestock,
and biofuels for private lands in the
contiguous United States. Because
FASOM captures the impacts of all crop
production, not just biofuel feedstock,
we are able to use it to determine
secondary agricultural sector impacts,
such as crop shifting and reduced
demand due to higher prices.
The output of the FASOM analysis
includes changes in total domestic
agricultural sector fertilizer and energy
use. These are calculated based on the
inputs required for all the different
crops modeled and changes in the
amounts of the different crops produced
due to increased biofuel production.
FASOM output also includes changes in
the number and type of livestock
produced. These changes are due to the
changes in animal feed prices and makeup due to the increase in biofuel
production. The FASOM output
changes in fertilizer, energy use, and
livestock are combined with GHG
emission factors from those sources to
generate biofuel lifecycle impacts. The
GHG emission factors for fuel and
fertilizer production come from the
Greenhouse gases, Regulated Emissions,
and Energy use in Transportation
(GREET) spreadsheet analysis tool
developed by Argonne National
Laboratories, and livestock GHG
emission factors are from IPCC
guidance.
To estimate the domestic impacts of
N2O emissions from fertilizer
application, we used the DAYCENT
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model developed by Colorado State
University. The DAYCENT model
simulates plant-soil systems and is
capable of simulating detailed daily soil
water and temperature dynamics and
trace gas fluxes (CH4, N2O, and NOX).
DAYCENT model results for N2O
emissions from different crop and land
use changes were combined with
FASOM output to generate overall
domestic N2O emissions.
FASOM output also provides changes
in total land use required for agriculture
and land use shifting between crops,
and interactions with pasture, and
forestry. This output is combined with
emission factors from land use change
to generate domestic land use change
GHG emissions from increased biofuel
production.
To estimate the impacts of biofuels
feedstock production on international
agricultural and livestock production,
we used the integrated FAPRI–CARD
international models, developed by
Iowa State University. These worldwide
agricultural sector economic models
capture the biological, technical, and
economic relationships among key
variables within a particular commodity
and across commodities.
The output of the FAPRI–CARD
model included changes in crop acres
and livestock production by type by
country globally. Unlike FASOM, the
FAPRI–CARD output did not include
changes in fertilizer or energy use or
have land type interactions built in.
These were developed outside the
FAPRI–CARD model and combined
with the FAPRI–CARD output to
generate GHG emission impacts.
Crop input data by crop and country
was developed and combined with the
FAPRI–CARD output crop acreage
change data to generate overall changes
in fertilizer and energy use. These
fertilizer and energy changes along with
the FAPRI–CARD output livestock
changes were then converted to GHG
emissions based on the same basic
approach used for domestic sources,
which involves combining with
emission factors from GREET and IPCC.
International land use change
emissions were determined based on
combining FAPRI–CARD output of crop
acreage change with satellite data to
determine types of land impacted by the
projected crop changes and then
applying emission factors of different
land use conversions to generate GHG
impacts.
Additional modeling and data sources
used to determine the GHG emissions of
other stages in the biofuel lifecycle
include studies and data on the distance
and modes of transport needed to ship
feedstock from the field to the biofuel
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processing facility and the finished
biofuel from the facility to end use.
These distances and modes are used to
develop amount and type of energy used
for transport which is combined with
GREET factors to generate GHG
emissions. We also calculate energy use
needed in the biofuel processing facility
from industry sources, reports, and
process modeling. This energy use is
combined with emissions factors from
GREET to develop GHG impacts of the
biofuel production process
The following sections outline how
the modeling tools and methodology
discussed above were used in
conducting the analysis for the different
lifecycle stages of biofuel production,
including changes made since the
proposal. Lifecycle stages discussed
include feedstock production, land use
change, feedstock and fuel transport,
biofuel production, and vehicle end use.
The modeling of the petroleum fuels
baseline is discussed in Section V.B.3.
a. Feedstock Production
Our analysis addresses the lifecycle
GHG emissions from feedstock
production by capturing both the direct
and indirect impacts of growing corn,
soybeans, and other renewable fuel
feedstocks. For both domestic and
international agricultural feedstock
production, we analyzed four main
sources of GHG emissions: agricultural
inputs (e.g., fertilizer and energy use),
fertilizer N2O, livestock, and rice
methane. (Emissions related to land use
change are discussed in the next
section).
i. Domestic Agricultural Sector Impacts
Agricultural Sector Inputs: The
proposal analysis calculated GHG
emissions from domestic agriculture
fertilizer and energy use and production
change by applying rates of energy and
fertilizer use by crop by region to the
FASOM acreage data and then
multiplying by default factors for GHG
emissions from GREET. Fuel use
emissions from GREET include both the
upstream emissions associated with
production of the fuel and downstream
combustion emissions.
In general commenters supported this
approach as it captures all indirect
impacts of agricultural sector emissions
and not just those associated with the
specific biofuel crop in question.
However, we did receive comments as
part of our Model Linkages Peer Review
that the input data for some crops may
be overestimating GHG emissions.
Specifically, the commenter highlighted
that N2O emissions from domestic hay
production seemed to be over estimated.
As part of the final rule analysis EPA
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confirmed that input data was being
used correctly, however, the hay N2O
emissions in the proposal may have
been overestimated based on the
approach used in the proposal to
generate N2O emissions from nitrogen
fixing crops. This has been updated for
the final rule analysis as discussed in
the next section which resulted in lower
emissions from nitrogen fixing crops.
Other comments indicated that we
should be using the most up to date data
for our calculations of GHG emissions.
Since the proposal there has been a new
release of the GREET model (Version
1.8C). EPA reviewed the new version
and concluded that this was an
improvement over the previous GREET
release that was used in the proposal
analysis (Version 1.8B). Therefore, EPA
updated the GHG emission factors for
fertilizer production used in our
analysis to the values from the new
GREET version. This had the result of
slightly increasing the GHG emissions
associated with fertilizer production
and thus slightly increasing the GHG
emission impacts of domestic
agriculture.
As was the case in the proposal, we
held the rates of domestic fertilizer
application constant over time. This is
true for both of our yield scenarios
considered as well as for price induced
yield increases. This constant rate of
application is justified based on USDA
data indicating that crops are becoming
more efficient in their uptake of
fertilizer such that higher yields can be
achieved based on the same per acre
fertilizer application rates.
N2O Emissions: The proposal analysis
calculated N2O emissions from domestic
fertilizer application and nitrogen fixing
crops based on the amount of fertilizer
used and different regional factors to
represent the percent of nitrogen (N)
fertilizer applied that result in N2O
emissions. The proposal analysis N2O
factors were based on existing
DAYCENT modeling that was
developed using the 1996 IPCC
guidance for calculating N2O emissions
from fertilizer applications and nitrogen
fixing crops. We identified in the
proposal that this was an area we would
be updating for the final rule based on
new analysis from Colorado State
University using the DAYCENT model.
This update was not available at time of
proposal.
We received a number of comments
on our proposal results indicating that
the N2O emissions were overestimated
from soybean and other legume
production (e.g., nitrogen fixing hay) in
our analysis. The main issue is that
because the N2O emission factors used
in the proposal were based on the 1996
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IPCC guidance for N2O accounting they
were overestimating N2O emissions
from nitrogen fixing crops. As an update
in 2006, IPCC guidance was changed
such that biological nitrogen fixation
was removed as a direct source of N2O
because of the lack of evidence of
significant emissions arising from the
fixation process itself. IPCC concluded
that the N2O emissions induced by the
growth of legume crops/forages may be
estimated solely as a function of the
above-ground and below-ground
nitrogen inputs from crop/forage
residue. This change effectively reduces
the N2O emissions from nitrogen fixing
crops like soybeans and nitrogen fixing
hay from the 1996 to 2006 IPCC
guidance.
Therefore, as part of the update to
new N2O emission factors from
DAYCENT used for our final rule
analysis we have updated to the 2006
IPCC guidance which reduces the N2O
emissions from soybean production.
This has the effect of reducing lifecycle
GHG emissions for soybean biodiesel
production. When we model corn
expansion as would result from
increased production of corn-based
ethanol, one of the impacts is that the
increase in corn acres displaces some
acres otherwise planted to soy beans.
Since the GHG emissions impact of this
change in land use considers the N2O
emissions benefit from the displaced
soy, the result of this lower soy bean
N2O assessment means that the benefits
for soy displacement are less,
directionally increasing the net GHG
emissions for corn expansion.
We also received comments on our
approach that we should use IPCC
factors directly as opposed to relying on
DAYCENT modeling. The difference is
that IPCC provides default factors by
crop by country, while DAYCENT
models N2O emissions by crop but also
by region within the US, accounting for
different soil types and weather factors.
For the final rule we still rely on the
DAYCENT modeling results as we
believe them to be more accurate. For
example, the National Greenhouse Gas
Inventory as reported annually by the
US to the Framework Convention on
Climate Change uses the DAYCENT
model to determine N2O emissions from
domestic fertilizer use as opposed to
using default IPCC factors as the
DAYCENT modeling is recognized to be
a more accurate approach.
Livestock Emissions: GHG emissions
from livestock have two main sources:
enteric fermentation and manure
management. For the proposal, enteric
fermentation methane emissions were
determined by applying IPCC default
factors for different livestock types to
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herd values as calculated by FASOM to
get GHG emissions. Comments we
received on this approach were that the
default IPCC factors do not account for
the beneficial use of distiller grains
(DGs) as animal feed. Use of DGs has
been shown to decrease methane
produced from enteric fermentation if
replacing corn as animal feed. This is
due to the fact that the DGs are a more
efficient feed source. Consistent with
our assumptions regarding the
efficiency of DGs as an animal feed in
our agricultural sector modeling, we
have also included the enteric
fermentation methane reductions of DGs
use in our final rule analysis. The
reduction amount was based on default
factors in GREET that calculated this
reduction based on the same Argonne
report used to determine DGs feed
replacement efficiency discussed in
Section V.B.2.b.i. This resulted in a
reduction in the lifecycle GHG
emissions for corn ethanol compared to
the proposal assumptions. More detail
on the enteric fermentation methane
reductions of DGs use can be found in
Chapter 2 of the RIA.
The proposal analysis also included
the methane and N2O emissions of
livestock manure management based on
IPCC default factors for emissions from
the different types of livestock and
management methods combined with
FASOM results for livestock changes.
We received comments that this was a
good approach as it quantifies the
indirect impacts of emissions associated
with biofuel production. The same
approach was used for the final rule
analysis.
Methane from Rice: For the proposal,
methane emissions from rice production
were calculated by taking the FASOM
output predicted changes in rice acres,
resulting from the increase in biofuel
production, and multiplying by default
methane emission factors from IPCC to
generate GHG impacts. We received
comments that this was a good approach
as it quantifies the indirect impacts of
emissions associated with biofuel
production. The same approach was
used for the final rule analysis.
ii. International Agricultural Sector
Impacts
Agricultural Sector Inputs: For the
proposal we determined international
fertilizer and energy use emissions
based on applying input data collected
by the Food and Agriculture
Organization (FAO) of the United
Nations and the International Energy
Agency (IEA) to the FAPRI–CARD crop
output data and then applied GREET
defaults for converting those inputs to
GHG emissions.
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As part of our public comment and
peer review process we had this
component of our analysis specifically
peer reviewed. The main comment we
received was to update our input data
with newer data sources. Therefore, for
the final rule analysis we updated
fertilizer and pesticide consumption
projections from the incorporation of
updates made by the FAO to its Fertistat
and FAOStat datasets, as well as the
incorporation of more up-to-date
fertilizer consumption statistics
provided by a recent International
Fertilizer Institute (IFA) report. This
update had varying impacts on the
amount of fertilizer used on different
crops in different countries but in
general increased the amount of
fertilizer assumed and thus
international agriculture lifecycle GHG
emissions from fertilizer use for all
biofuels.
Another comment from the peer
review was that we should include lime
use for some of the key crops modeled
in our analysis. Lime use was not
included in the proposal because of lack
of international data on lime use by
crop. Excluding lime used is an
underestimate of international
agriculture GHG emissions. For our final
rule analysis we included lime use for
sugarcane production in Brazil based on
information received from Brazilian
agricultural experts provided as part of
the comment process. This led to an
increase in GHG emissions from
sugarcane farming. We did not include
lime use for other crops in the final rule
analysis because of lack of other data
sources for other crops.
Other comments we received on our
approach were that we were potentially
underestimating GHG emissions from
international agriculture energy use.
Our proposal based international
agriculture energy use on factors from
the International Energy Agency (IEA)
that included all energy use for
agriculture that we divided by all
agricultural sector land by country to get
a GHG emission per acre for each
country considered. The comment
raised the issue that by using all
agricultural land this includes pasture
land that would not have the same
energy input as crop production.
Effectively, higher energy use from crop
production was getting averaged with
lower energy use for pasture and then
this lower number was applied only to
crop production. We specifically asked
as part of our peer review for guidance
and comment on our international
agriculture energy use calculation. We
did not receive significant comments or
data to suggest that we change our
approach and reviewers generally
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agreed we were using the best data
available. Furthermore, the energy use
values represent all agriculture
including forestry and fishing which
could in some countries be
overestimating energy use for crop
production. So for our final rule
analysis we used the same approach as
for the proposal to calculate
international agriculture energy use
GHG emissions.
We also received comments on the
applicability of applying GREET
defaults for fuel and fertilizer
production to international fuel and
fertilizer use to generate GHG emissions.
The comments noted that GREET factors
are developed for domestic US
conditions and would not necessarily
apply internationally. Specifically on
the issue of nitrogen fertilizer
production, the comments indicated
that nitrogen fertilizer production
internationally could rely on coal as a
fuel source as opposed to natural gas
used in the US, which would cause
international GHG emissions associated
with fertilizer production and hence
biofuel production to be underestimated
in our analysis. This was also an area
we asked peer reviewers for comment
and guidance. The peer review response
generally supported our approach and
did not offer suggestions for other data
sources. So for our final rule analysis we
used the same approach as for the
proposal and applied GREET defaults to
calculate international fertilizer
production GHG emissions.
As was the case in the proposal and
for domestic agriculture, we held the
rates of international fertilizer
application constant over time. This is
true for both of our yield scenarios
considered as well as for price induced
yield increases. This was an area that
was specifically addressed in our peer
review of International Agricultural
Greenhouse Gas Emissions and Factors.
The reviewers supported the approach
we have taken, for example indicating
that generally crop production as a unit
of fertilizer application has increased
over time, therefore, crop yields have
increased with the same or lower
fertilizer applications.
N2O Emissions: For the proposal we
included N2O emissions from fertilizer
application by applying IPCC default
factors for different crops in different
countries. We use IPCC default factors
because we do not have the same level
of regional factors like we do in the US
from the DAYCENT model. The IPCC
guidance has emission factors for four
sources of N2O emissions from crops,
Direct N2O Emissions from Synthetic
Fertilizer Application, Indirect N2O
Emissions from Synthetic Fertilizer
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Application, Direct Emissions from
Crop Residues, and Indirect Emissions
from Crop Residues. The proposal did
not include N2O emissions from the
Direct and Indirect Emissions from Crop
Residues for cotton, palm oil, rapeseed,
sugar beet, sugarcane, or sunflower.
These were not included for these crops
because default crop-specific IPCC
factors used in the calculation were not
available.
Comments from our peer review
process suggested that we include proxy
emissions from these crops based on
similar crop types that do have default
factors. Therefore, for our final rule
analysis we have included crop residue
N2O emissions from sugarcane
production based on perennial grass as
a proxy. Perennial grass is chosen as a
proxy based on input from N2O
modeling experts. This change results in
an increase in N2O emissions from
sugarcane and therefore sugarcane
ethanol production compared to the
proposal.
Livestock Emissions: Similar to
domestic livestock impacts, enteric
fermentation and manure management
GHG emissions were included in our
proposal analysis. The proposal
calculated international livestock GHG
impacts based on activity data provided
by the FAPRI–CARD model (e.g.,
number and type of livestock by
country) multiplied by IPCC default
factors for GHG emissions.
Based on the peer review of the
methodology used for the proposal it
was determined that the calculations for
manure management did not include
emissions from soil application. These
emissions were included for our final
rule analysis but do not cause a
significant change in the livestock GHG
emission results.
Rice Emissions: To estimate rice
emission impacts internationally, the
proposal used the FAPRI–CARD model
to predict changes in international rice
production as a result of the increase in
biofuels demand in the U.S. We then
applied IPCC default factors by country
to these predicted changes in rice acres
to generate GHG emissions. We received
comments that this was a good approach
as it quantifies the indirect impacts of
emissions associated with biofuel
production. The same approach was
used for the final rule analysis.
b. Land Use Change
The following sections discuss our
final rulemaking assessment of GHG
emissions associated with land use
changes that occur domestically and
internationally as a result of the increase
in renewable fuels demand in the U.S.
There are four main methodology
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questions addressed both domestically
and internationally:
• Amount of Land Converted and
Where.
• Type of Land Converted.
• GHG Emissions Associated with
Conversion.
• Timeframe of Emission Analysis.
Each of those methodology
components are discussed as are the
comments we received as part of the
comment and peer review process. We
also outline in addition to our main
FASOM and FAPRI–CARD approach a
general equilibrium modeling
approaches and its results.
i. Amount of Land Area Converted and
Where
Based on a number of modeling
changes made to the FASOM and
FAPRI–CARD models since the NPRM,
the amount of land use change resulting
from an increase in biofuel demand in
the U.S. is significantly lower in this
FRM analysis for most renewable fuels.
Many of the changes made were a direct
result of comments received through the
notice-and-comment period, comments
received from the peer-reviewers, or as
a result of incorporating new science
that has become available since the
analysis was conducted in the proposal.
Some of the key changes that had the
largest impact on the land use change
estimates are included in this section.
For additional information, see Chapter
2 of the RIA.
As discussed in the NPRM, one of the
key factors in determining the amount
of new land needed to meet an increase
in biofuel demand is the treatment of
co-products of ethanol and biodiesel
production. We received many
comments on this topic, particularly on
the amount of corn and soybean meal a
pound of DGS, the byproduct of dry mill
grain ethanol production, can replace in
animal feed. For the final rule, we
predict that distiller grains will be
absorbed by livestock more efficiently
over time. We updated the displacement
rate assumptions in the FASOM and
FAPRI–CARD models based on
comments we received and on the
recent research conducted by Argonne
National Laboratory and others.167
According to this research, one pound
of DGS replaces more than a pound of
corn and/or soybean meal in beef and
dairy rations, in part because cattle fed
DGS show faster weight gain and
increased milk production compared to
those fed a traditional diet. While this
167 Salil, A., M. Wu, and M. Wang. 2008. ‘‘Update
of Distillers Grains Replacement Ratios for Corn
Ethanol Life-Cycle Analysis.’’ Available at https://
www.transportation.anl.gov/pdfs/AF/527.pdf.
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study represents a significant increase
over current DGS replacement rates, we
believe it is reasonable to assume that
improvements will be made in the use
and efficiency of DGS over time as the
DGS market matures, the quality and
consistency of DGS improves, and as
livestock producers learn to optimize
DGS feed rations. As a result of this
modification, less land is needed to
replace the amount of corn diverted to
ethanol production. Additional details
on the DGS assumptions are included in
Chapters 2 and 5 of the RIA.
A second factor that can have a
significant impact on the amount of
land that may be converted as a result
of increasing biofuel demand are
changes in crop yields over time. As
discussed in the NPRM, our proposal
based domestic yields on USDA
projections for both the reference case
and the control case. As discussed in
Section V.B.1.c, for this FRM we have
also included scenarios that use higher
yield projections in both the reference
case and the control case. However, in
the NPRM we also requested comment
on whether the higher prices caused by
an increased in demand for biofuels
would increase future yield projections
in the policy case beyond the yield
trends in the reference case (sometimes
referred to as ‘‘price induced yields’’), or
whether these price induced yields
would be offset by the reduction in
yields associated with expanding
production onto new marginal acres
(sometimes referred to as
extensification). Based on the comments
we received, along with additional
historical trend analysis conducted by
FAPRI–CARD, the international
agricultural modeling framework now
incorporates a price induced yield
component.168 The new yield
adjustments are partially offset by the
extensification factor, however, the
combined impact is that fewer new
acres are needed for agricultural
production to meet world agricultural
demands.
One additional change we made to the
yield assumptions was to update the
FASOM model with new analysis by
Pacific Northwest National Laboratories
(PNNL) on switchgrass yields.169 We
included this new data for two reasons.
First, we received several comments
that our assumptions on switchgrass
yields were too low, based on more
168 Technical Report: An Analysis of EPA
Renewable Fuel Scenarios with the FAPRI–CARD
International Models, CARD Staff, January, 2010.
169 Thomson, A.M., R.C. Izarrualde, T.O. West,
D.J. Parrish, D.D. Tyler, and J.R. Williams. 2009.
Simulating Potential Switchgrass Production in the
United States. PNNL–19072. College Park, MD:
Pacific Northwest National Laboratory.
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recent field work. In addition, for out
NPRM analysis, we did not have data
for switchgrass yields in certain regions
of the US. Therefore, the PNNL data
helped to fill a pre-existing data gap. As
a result of these updates, less land is
needed per gallon of switchgrass
ethanol produced. Additional details on
switchgrass yields and other agricultural
sector modeling assumptions are
included in RIA Chapter 5.
One of the major changes made to the
FAPRI–CARD model between the NPRM
and FRM includes the more detailed
representation of Brazil through a new
integrated module. The Brazil module
was developed by Iowa State with input
from Brazilian agricultural sector
experts and we believe it is an
improvement over the approach used in
the proposal. In the NPRM, we
requested additional data for countries
outside the U.S. We received comments
encouraging us to use regional and
country specific data where it was
available. We also received comments
encouraging us to take into account the
available supply of abandoned
pastureland in Brazil as a potential
source of new crop land. The new Brazil
module addresses these comments.
Since the Brazil module contains data
specific to six regions, this additional
level of details allows FAPRI–CARD to
more accurately capture real-world
responses to higher agricultural prices.
For example, double cropping (the
practice of planting a winter crop of
corn or wheat on existing crop acres) is
a common practice in Brazil. Increased
double cropping is feasible in response
to higher agricultural prices, which
increases total production without
increasing land use conversion. The
new Brazil module also explicitly
accounts for changes in pasture acres,
therefore accounting for the competition
between crop and pasture acres.
Furthermore, the Brazil module
explicitly models livestock
intensification, the practice of
increasing the number of heads of cattle
per acre of land in response to higher
commodity prices or increased demand
for land.
In addition to modifying how pasture
acres are treated in Brazil, we also
improved the methodology for
calculating pasture acreage changes in
other countries. We received several
comments through the public comment
period and peer reviewers supporting a
better analysis of the interaction
between crops, pasture, and livestock.
In the NPRM, although we accounted
for GHG emissions from livestock
production (e.g., manure management),
we did not explicitly account for GHG
emissions from changes in pasture
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demand. In response to comments
received, our new methodology
accounts for changes in pasture area
resulting from livestock fluctuations and
therefore captures the link between
livestock and land used for grazing.
Based on regional pasture stocking rates
(livestock per acre), we now calculate
the amount of land used for livestock
grazing. The regional stocking rates
were determined with data on livestock
populations from the UN Food and
Agricultural Organization (FAO) and
data on pasture area measured with
agricultural inventory and satellitederived land cover data. As a result of
this change, in countries where
livestock numbers decrease, less land is
needed for pasture. Therefore, unneeded
pasture acres are available for crop land
or allowed to revert to their natural
state. In countries where livestock
numbers increase, more land is needed
for pasture, which can be added on
abandoned cropland or unused
grassland, or it can result in
deforestation. We believe this new
methodology provides a more realistic
assessment of land use changes,
especially in regions where livestock
populations are changing significantly.
For additional information on the
pasture replacement methodology, see
RIA Chapter 2.
Although the total amount of land use
conversion is lower in the FRM analysis
compared to the NPRM analysis, the
regional distribution of this land use
change has shifted. Due to the many
changes made in response to comments
associated with agriculture and
livestock markets, Brazil is now much
more responsive to changes in world
biofuel and agricultural product
demand. As a result, a larger portion of
the projected land use change occurs in
Brazil compared to the NPRM analysis.
Additional details on the geographical
location of land use change are included
in Chapter 2 of the RIA.
ii. Type of Land Converted
Based on a number of improvements
in our analysis, the types of land
affected by biofuel-induced tend to be
less carbon intensive compared to the
NPRM. Therefore, the net effect of our
revisions to this part of our analysis
significantly reduced land use change
GHG emissions. The updated FAPRI–
CARD Brazil model, discussed in the
previous section, showed more pasture
expansion in the Amazon which
increased land use change emissions.
However, the most important revisions
to this part of our international analysis,
in terms of their net effect on GHG
emissions, were improvements that we
made in our modeling of the
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interactions between livestock, pasture,
crops and unused, or underutilized,
grasslands globally. In the NPRM we
made the broad assumption that
international crop expansion would
necessarily displace pasture, which
would require an equivalent amount of
pasture to expand into forests and
shrublands. In the FRM analysis as
discussed in the previous section, we
have linked international changes in
livestock production with changes in
pasture area to allow for pasture
abandonment in regions where livestock
production decreases as a result of
biofuel production. We also
incorporated the ability of pasture to
expand onto unused, or underutilized,
grasslands and savannas which on a
global basis reduced the amount of
forest conversion compared to the
proposal. These revisions, as well as a
quantitative uncertainty assessment, are
discussed in this section.
In the same way that the amount and
location of land use change is
important, the type of land converted is
also a critical determinant of the
magnitude of the GHG emissions
impacts associated with biofuel
production. For example, the
conversion of rainforest to agriculture
results in a much larger GHG release
than conversion of grassland. In the
proposed rule analysis we used two
approaches, based on the best available
information to us at the time, to evaluate
the types of land that would be affected
domestically and internationally.
Domestically, we used the FASOM
model, which simulates rental rates for
different types of land (e.g., forest,
pasture, crop) and chooses the land uses
that would produce the highest net
returns. Internationally, we used the
FAPRI–CARD/Winrock analysis
whereby historical land conversion
trends, as evaluated with satellite
imagery, are used to determine what
types of land are affected by agricultural
land use changes in each country or
sub-region.
In the proposed rule we also
explained several other options to
determine what types of land will be
affected by biofuel-induced land use
changes, such as the use of general
equilibrium models. EPA specifically
sought expert peer review input and
public comment on our approach and
all of the analytical options for this part
of the lifecycle assessment. The expert
peer reviewers agreed that EPA’s
approach was scientifically justifiable,
but they highlighted problematic areas
and suggested important revisions to
improve our analysis. The public
comments received on this issue
expressed a wide range of views
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regarding EPA’s approach. In general,
the commenters that objected to our
analytical approach raised similar
concerns as the peer reviewers, such as
the need for more data validation and
uncertainty assessment. As discussed
below, we made significant
improvements to our analysis based on
the recommendations and comments we
received. Based on the peer reviewers
agreement that our general approach is
scientifically justifiable, and in light of
the significant improvements made, we
think that our approach represents the
best available analysis of the types of
land affected by biofuel-induced land
use changes. We did consider a range of
other analytical options, but based on
all of the information considered and
the requirements for this analysis, we
did not find any alternative approaches
that are superior at this time. As part of
periodic updates to the lifecycle
analysis, we will continue to consider
ways to improve this part of our
analysis, as well as the merits of
alternate approaches.
Domestic: In response to comments
received, we made two major
improvements to the FASOM model for
the final rulemaking. As discussed in
the NPRM and supported by comments,
we were able to include the forestry
sector into the FASOM analysis. Only
the agricultural sector of FASOM was
analyzed for the NPRM, due to the fact
that the forestry sector component was
undergoing model modifications. For
this FRM analysis, we were able to use
the fully integrated forestry and
agricultural sector model, thereby
capturing the interaction between
agricultural land and forests in the U.S.
In addition, the inclusion of the forestry
model allows us to explicitly model the
land use change impacts of the
competing demand for cellulosic
ethanol from agricultural sources with
cellulosic ethanol from logging and mill
residues. As a result of this
modification, the FRM analysis includes
some land use conversion from forests
into agriculture in the U.S. as a result of
the increased demand for renewable
fuels.
The second major modification we
made in response to comments was the
disaggregation of different types of land
included in FASOM. In the proposed
rulemaking, the FASOM model
included three major categories of land:
cropland, pasture, and acres enrolled in
the Conservation Reserve Program
(CRP). Although this categorization
allowed for a detailed regional analysis
of land used to grow crops, acres used
for livestock production were not fully
captured. We received comments
requesting a more detailed breakdown
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of land types in order to capture the
interaction between livestock, pasture,
and cropland. Therefore, the FASOM
model now includes rangeland, pasture
and forest land that can be used for
grazing. Since we also received
comments that we should take into
account the potential for idle land to be
used for other purposes such as the
production of cellulosic ethanol,
FASOM now accounts for the amount of
land within each category that is either
idle or used for production.
These two major modifications to the
FASOM model now allow us to
explicitly track land transfers between
various land categories in the U.S. As a
result, we can more accurately capture
the GHG impacts of different types of
land use changes domestically. More
detail and results of the FASOM model
can be found in Section V.B.1.b of the
preamble.
International: The proposed rule
included a detailed description of the
FAPRI–CARD/Winrock approach used
to determine the type of land affected
internationally. This approach uses
satellite data depicting recent land
conversion trends in conjunction with
economic projections from the FAPRI–
CARD model (an economic model of
global agricultural markets) to
determine the type of land converted
internationally. In the proposed rule we
described areas of uncertainty in this
approach, illustrated the uncertainty
with sensitivity analyses, and discussed
other potential approaches for this
analysis. To encourage expert and
stakeholder feedback, EPA specifically
invited comment on this issue, held
public hearings and workshops, and
sponsored an independent peer-review,
all of which specifically highlighted this
part of our analysis for feedback. While
there were a wide range of views
expressed in these forums, the feedback
received by the Agency generally
supported the FAPRI–CARD/Winrock
approach as appropriate for this
analysis. For example, all five experts
that peer reviewed EPA’s use of satellite
imagery agreed that it is scientifically
justifiable to use historic remote sensing
data in conjunction with agricultural
sector models to evaluate and project
land use change emissions associated
with biofuel production. Additionally,
the peer reviewers and public
commenters highlighted problematic
areas and suggested revisions to
improve our analysis. Below, we
describe the key revisions that were
implemented which have significantly
improved our analysis based on the
feedback received.
FAPRI–CARD/Satellite Data
Approach: As described above in
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Section V.B.1.b, the FAPRI–CARD
model was used to determine the
amount of land use change in each
country/region in response to increased
biofuel production. Because the FAPRI–
CARD model does not provide
information about what type of land is
converted to crop production or pasture,
we worked with Winrock International
to evaluate the types of land that would
be affected internationally. Winrock is a
global nonprofit organization with years
of experience in the development and
application of the IPCC agricultural
forestry and other land use (AFOLU)
guidance. For the proposed rule, we
used satellite data from 2001–2004 to
provide a breakdown of the types of
land converted to crop production. A
key strength of this approach is that
satellite information is based on
empirical observations which can be
verified and statistically tested for
accuracy. Furthermore, it is reasonable
to assume that recent land use change
decisions have been driven largely by
economics, and, as such, recent patterns
will continue in the future, absent major
economic or land use regime shifts
caused, for example, by changes in
government policies.
As discussed above, all five of the
expert peer reviewers that reviewed our
use of satellite imagery for this analysis
agreed that our general approach was
scientifically justifiable. However, all of
the peer reviewers qualified that
statement by describing relevant
uncertainties and highlighting revisions
that would improve our analysis. Some
of the public commenters supported
EPA’s use of satellite imagery, while
other expressed concern. In general,
both sets of public commenters—those
in favor and opposed—outlined the
same criticisms and suggestions as the
expert peer reviewers. Among the many
valuable suggestions for satellite data
analysis provided in the expert peer
reviews and public comments, several
major recommendations emerged: EPA
should use the most recent satellite data
set that covers a period of at least 5
years; EPA should use higher resolution
satellite imagery; EPA’s analysis should
consider a wider range of land
categories; EPA should improve it’s
analysis of the interaction between
cropland, pasture and unused or
underutilized land; and EPA’s analysis
should include thorough data validation
and a full assessment of uncertainty.
Below, we describe these and other
recommendations and how we
addressed each of them to improve our
analysis. Based on the peer reviewers
agreement that our general approach is
scientifically justifiable, and in light of
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the significant improvements made, we
think that our approach represents the
best available analysis of the types of
land affected internationally.
One of the fundamental
improvements in this analysis since the
proposed rule is that it now provides
global coverage. The analysis for the
proposed rule included satellite imagery
for 6 land categories in 314 regions
across 35 of the most important
countries, with a weighted average
applied to the rest of the world. We
have since completed a global satellite
data analysis including 9 land categories
in over 750 distinct regions across 160
countries. This was an analytical
improvement that we committed to do
in the proposed rule. As described
below, the other major analytical
enhancements were conducted in
response to the many technical
recommendations that we received as
part of the peer review and public
comment process.
All of the expert peer reviewers
agreed that the version 4 MODIS data
set used in the proposed rule, which
covers 2001–2004 with one squarekilometer (1km) spatial resolution, was
appropriate for our analysis given the
goals of the study at the time. However,
almost all of the reviewers strongly
recommended using a data set covering
a longer time period. The reviewers
argued that the 3-year time period from
2001–2004 was too short to capture the
often gradual, or sequential, cropland
expansion that has been observed in the
tropics. The short time period may also
show unusual or temporary trends in
land use caused by short-term policy
changes or market influences. The
reviewers suggested that remote sensing
observations covering 5–10 years would
be adequate to address these problems.
The reviewers also recommended that
remote sensing observations should be
as recent as possible in order to capture
current land use change drivers and
patterns (e.g., political systems,
infrastructure, and protected areas). To
use the best available data and respond
to the peer reviewers’ recommendations,
the analysis was updated to include the
most recent MODIS data set, version 5,
which covers the time period 2001–
2007. MODIS land cover products are
not available for years prior to 2001, so
it is not currently possible to analyze a
time period longer than six years (i.e.,
2001–2007) with a single, or consistent,
data set. Thus, consistent with the peer
review recommendations, we are now
using the most recent global data set
which covers at least 5 years. There are
other advantages to using the version 5
MODIS data, such as improved spatial
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resolution, and robust data validation,
which are discussed below.
There was strong agreement among
the peer reviewers that higher resolution
satellite imagery would be an important
improvement over the 1-km resolution
data used in the proposed rule analysis.
Higher spatial resolution is especially
useful in categorizing highly fragmented
landscapes. One of the reviewers
hypothesized that land use change
driven by biofuel production would
likely involve large parcels of land, and
thus 1-km resolution may be sufficient.
However, all of the reviewers agreed
that higher resolution data would be
preferable. A number of the peer
reviewers specifically said that the
version 5 MODIS data set, with 500
meter resolution, would be adequate.
With four-times higher spatial
resolution than version 4, the peer
reviewers anticipated that the 500m
imagery would classify less area of
‘‘mixed class’’ land, thus providing a
more detailed representation of the land
in that category. Consistent with the
peer reviewer’s recommendations and
with our goal to use the best available
information, our analysis was updated
with the higher resolution version 5
MODIS data.
Related to the issue of spatial
resolution, the peer review experts were
asked whether they would recommend
augmenting our global analysis with
even higher resolution data for specific
regions where there is a high degree of
agricultural land use change. All of the
peer reviews agreed that this type of
analysis would be worthwhile. In
response to this recommendation, we
analyzed select geographic regions (e.g.,
Brazil, India) with the higher resolution
30m Landsat data set covering 2000–
2005. The Landsat data set does not
currently provide global coverage, thus
it was not an option for use in the full
analysis; instead, it was used as a way
to check/validate the appropriateness of
the version 5 MODIS imagery. In
general, the higher resolution data
showed similar land use change
patterns as the MODIS data. The results
of this analysis are discussed further in
Chapter 2 of the RIA.
Another issue that we invited
comments on was the re-classification of
the MODIS data from 17 land cover
categories into 6 aggregated categories
(e.g., open and closed shrubland were
both re-classified as shrubland). The
category aggregation was intended to
remove unnecessary complexity from
the analysis. All five expert reviewers
agreed that the methodology used to reclassify land cover categories using
International Geosphere-Biosphere
Programme (IGBP) land definitions was
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sound; however, the reviewers
recommended inclusion of more than 6
aggregated land categories. The
reviewers specifically recommended the
addition cropland/natural vegetation
mosaic, permanent wetlands, and barren
or sparsely vegetated land, all of which
are now included in our analysis.
Consistent with these recommendations,
there are 9 aggregate land categories in
our revised analysis: barren, cropland,
excluded (e.g., urban, ice, water bodies),
forest, grassland, mixed (i.e., cropland/
natural vegetation mosaic), savanna,
shrubland and wetland. These land
cover categories capture all significant
types of land affected by agricultural
land use changes. As described below in
Section V.B.2.b.iii, we also estimated
carbon sequestrations for all of these
land categories. The impact of adding
these land categories to our analysis is
discussed further in RIA Chapter 2.
Another important addition to our
analysis was consideration of the types
of land affected by changes in pasture
area, and the interaction of pasture land
with cropland. In the proposed rule, we
made a broad assumption that the total
land area used for pasture would stay
the same in each country or region.
Thus, in the proposed rule, we assumed
that any crop expansion onto pasture
would necessarily require an equal
amount of pasture to be replaced on
forest or shrubland. We received a large
number of comments questioning these
assumptions, and the expert peer
reviewers encouraged us to develop a
better representation of the interactions
between cropland and pasture land. As
described above in Section V.B.2.6.i, the
results from the FAPRI–CARD model
are now used to determine pasture area
changes in each country or region. In
regions where we project that pasture
and crop area both increase, the land
types affected by pasture expansion are
determined using the same analysis
used for crop expansion. This new
approach accounts for the ability of
pasture to expand on to previously
unused, or underutilized, grasslands
and savanna. In regions where we
project that crop and pasture area will
change in opposite directions (e.g., crop
area increases and pasture decreases) we
assume that crops will expand onto
abandoned pasture, and vice versa. Our
analysis also now accounts for carbon
sequestration resulting from crop or
pasture abandonment. We used our
satellite analysis, which shows the
dominant ecosystems and land cover
types in each region, to determine
which types of ecosystems would grow
back on abandoned agricultural lands in
each region. More information about our
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analysis of pasture and abandoned
agricultural land are provided in RIA
Chapter 2.
A sub-set of the expert peer reviewers
recommended combining the historic
satellite imagery with other information
on land use change drivers (e.g.,
transportation infrastructure, poverty
rates, opportunity costs) as an
additional means to estimate the types
of land affected. Consideration of these
types of information could potentially
address two conceptual issues with the
use of satellite imagery in this analysis:
First, biofuel-induced land use change
could affect different types of land than
the generic agricultural expansion
captured by the historic data; and
second, future land use change patterns
may differ from historic patterns. Our
concerns with the first issue are allayed
to some degree by one of the peer
reviewers who observed, ‘‘While it is
theoretically possible that the changes
in land use resulting from biofuel
production occur in ecosystems or
regions that would not be the ones
affected by other drivers, this doesn’t
appear very likely.’’ 170 Furthermore, the
economic drivers of land use change are
to a large degree captured by the
economic models that are used in our
analysis. For example, the FAPRI–CARD
model considers economic drivers in its
projections of where and how much
crop production will change as a result
of specifically biofuel-induced changes.
The second issue is also addressed to
some degree by the FAPRI–CARD model
which includes baseline forecasts of
future international agricultural,
economic and demographic conditions.
Furthermore, as discussed above, we
used the most recently available satellite
data sets in order to capture the most
current land use change drivers. Thus,
while we think that these issues are
currently addressed to a scientifically
justifiable degree for the purposes of
this analysis, we recognize that these are
areas for future investigation, and we
have tried to capture the uncertainty
from these factors in uncertainty and
sensitivity analyses as described below.
While EPA has made significant
improvements to the methodology in
response to peer review comments, the
use of satellite data for forecasting land
use changes is a key area of uncertainty
in the analysis. To facilitate substantive
comments on the impact of uncertainty
in international land use changes, and
how to address the uncertainty, the
proposed rule highlighted areas of
170 Peer Review Report, Emissions from Land Use
Change due to Increased Biofuel Production:
Satellite Imagery and Emissions Factor Analysis,
July 31, 2009, p. 2.
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uncertainty and included multiple
sensitivity analyses. For example, we
presented a range of lifecycle results
assuming at the high-end that all land
conversion caused deforestation and at
the low-end that biofuels would cause
no deforestation. Further, EPA sought
input on this issue in public hearings
and workshops, and expert feedback
through the independent peer review.
The feedback we received, both from
experts and the public, overwhelmingly
supported a more systematic analysis of
the uncertainty in using satellite data to
project biofuel-induced land use change
patterns. Additionally, commenters
recommended more data validation,
especially regarding the satellite
imagery. To respond to these comments,
we incorporated satellite imagery
validation and conducted a Monte Carlo
analysis of the MODIS satellite data
using assessments provided by NASA to
quantitatively evaluate the uncertainty
in our application of satellite imagery.
One benefit of using the MODIS data
set is that it is routinely and extensively
validated by NASA’s MODIS land
validation team. NASA uses several
validation techniques for quality
assurance and to develop uncertainty
information for its products. NASA’s
primary validation technique includes
comparing the satellite classifications to
data collected through field and aircraft
surveys, and other satellite data sensors.
The accuracy of the version 5 MODIS
land cover product was assessed over a
significant set of international locations,
including roughly 1,900 sample site
clusters covering close to 150 million
square kilometers. The results of these
validation efforts are summarized in a
‘‘confusion matrix’’ which compares the
satellite’s land classifications with the
actual land types observed on the
ground. We used this information to
assess the accuracy and systematic
biases in the published MODIS data. In
general, the validation process found
that MODIS version 5 was quite
accurate at distinguishing forest from
cropland or grassland. However, the
satellite was more likely; for example, to
confuse savanna and shrubland because
these land types can look quite similar
from space.
Using the data validation information
from NASA about which types of land
MODIS tends to confuse which each
other, our Monte Carlo analysis was able
to account for systematic
misclassifications in the MODIS data
set. Therefore, part of the Monte Carlo
analysis can be viewed as a way to
correct and reduce the inaccuracies in
the MODIS data. After this correction is
performed, the uncertainty in the
satellite data is no longer solely a
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function of the accuracy of the satellite.
Instead, the sizes of the standard errors
for each classification are also a
function of the sample sizes in the data
validation exercise. For example, if
NASA validated every pixel on Earth,
the corrected data set would be 100%
accurate, even if the original satellite
data were only 50% accurate. Similarly,
although NASA reports that the overall
accuracy of the MODIS version 5 land
cover data set is approximately 75%, the
standard errors after the Monte Carlo
procedure are less than 5% for each
aggregate land category. These standard
errors were used to quantify the
uncertainty added by the satellite data
used in our analysis. This procedure
and the results are described in more
detail in Chapter 2 of the RIA.
It should be noted that our assessment
of satellite data uncertainty did not try
to fully quantify the uncertainty of using
historical data to make future
projections about the types of land that
would be affected internationally. As
noted above, we think it is reasonable to
assume that in general, recent land use
change patterns will continue in the
future absent major economic or land
use regime shifts caused, for example,
by changes in government policies.
Thus, our uncertainty assessment
provides a reasonable estimate of the
variability in land use change patterns
absent any fundamental shifts in the
factors that affect land use patterns.
However, our uncertainty assessment
does not attempt to fully quantify the
probability of major shifts in land use
regimes, such as the implementation of
effective international policies to curb
deforestation.
Some of the peer reviewers
recommended a satellite imagery
analysis approach known as change
detection, instead of the ‘‘differencing’’
approach used in the Winrock analysis.
However, there was disagreement
among the peer reviewers on this point,
with one peer reviewer saying that
thematic differencing between land
cover maps generated for two specific
dates, as conducted in this study,
provides the best approach for detecting
and analyzing land use pattern changes
globally. In general terms, the
differencing method employed by
Winrock compared global land cover
maps from 2001 and 2007 to evaluate
the pattern of land use change during
this period. Thus, the differencing
method shows all of the land that
changed categories, as well as all of the
land that stayed the same over this
period. For change detection, instead of
using comprehensive land cover maps,
the data set only shows land categories
that changed. One advantage of change
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detection is that it is better suited to
capture the sequential nature of land
use changes, e.g., a forest could be
converted to savanna, then grassland
and then cropland. The differencing
method that we employed lends itself
more readily to comprehensive global
analysis, data validation, and
uncertainty assessment. Given the
timeframe and priorities for our
analysis, we think that the differencing
method provides the best approach
available at this time. However, we will
continue to consider alternative
analytical techniques, such as change
detection, for use as part of periodic
updates to this analysis.
Some of the peer reviewers
recommended additional alternative
technical approaches for satellite data
and land use change analysis. For
example, some of the reviewers
recommended the use of satellite
imagery to identify specific crop-types
and rotations, and one reviewer
suggested that EPA develop a new
interactive spatial model. The Summary
and Analysis of Comments document
includes discussion of these and other
technical comments and
recommendations that are not covered
here.
iii. GHG Emissions Associated With
Conversion
(1) Domestic Emissions
GHG emissions impacts due to
domestic land use change are based on
GHG emissions the FASOM model
generates in association with land type
conversions projected in the model. In
the proposed rule analysis, estimates of
land use change emissions were limited
to conversion between different types of
agricultural land (e.g., cropland, fallow
cropland, pasture). The analysis did not
allow for the addition of new domestic
agricultural land.
In response to feedback EPA received
during the public comment period and
based on commitments EPA made in the
NPRM, several changes and additions
have augmented the analysis of
domestic land use change GHG
emissions since the proposed rule
analysis. The addition of the forest land
types and the interaction between
cropland, pastureland, forestland, and
developed land to the FASOM model
provides a more complete emissions
profile due to domestic land use change
(see Section V.B.4.b.ii). We have
updated soil carbon accounting based
on new available data. Lastly, the
methodology now captures GHG
emission streams over time associated
with discrete land use changes.
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For agricultural soils, FASOM models
GHG emissions associated with changes
in crop production acreage and with
changes in crop type produced. FASOM
generates soil carbon factors for
cropland and pasture according to IPCC
Agriculture, Forestry, and Other Land
Use (AFOLU) Guidelines. In the
proposed rule, we committed to
updating FASOM soil carbon
accounting for agriculture. Per our
commitment, we have updated FASOM
soil carbon accounting for cropland and
pasture using the latest DAYCENT
modeling from Colorado State
University.
In the proposed rule, EPA committed
to incorporate the forestry sector and the
GHG emission impacts due to the land
use interactions between the domestic
agricultural and forestry sectors into the
FASOM analysis. We received comment
supporting the incorporation of the
forestry sector. By including the forestry
sector in the FASOM domestic model
(see Section V.B.4.b.ii), we have
incorporated GHG emission impacts
associated with change in forest aboveground and below-ground biomass,
forest soil carbon stocks, forest
management practices (e.g. timber
harvest cycles), and forest products and
product emission streams over time.
Forest carbon accounting in FASOM is
based on the FORCARB developed by
the U.S. Forest Service and on data
derived largely from the U.S. Forest
Service RPA modeling system.
With the changes to FASOM
discussed above, we also updated the
final calculation method of domestic
land use change GHG emissions to
account for FASOM’s cumulative
assessment of GHG emissions and the
continuous (rather than discrete) nature
of soil carbon and forest product
emissions. For each category of
agricultural and forestry land use
emissions, we calculated the mean
cumulative emissions from the initial
year of FASOM modeling (2000) to
2022. Changes in agricultural and forest
soil carbon and forest products have a
stream of GHG emissions associated
with them in addition to the initial
pulse associate with a discrete instance
or year of land use change. For each of
these categories FASOM calculates the
emissions over time associated with the
mean land use change over a year. We
included in total domestic land use
change emissions the annualized
emission streams associated with all
agricultural soil, forest soil, and forest
product changes included in the mean
cumulative emissions (2000–2022) for
30 years after 2022.
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(2) International Emissions
Based on input from the expert peer
review and public comments, we
incorporated new data sources and
made other methodological
improvements in our estimates of GHG
emissions from international land
conversions. Some of these
modifications increased land use change
GHG emissions compared to the NPRM,
such as the consideration of carbon
releases from drained peat soils. Other
modifications, such as more
conservative foregone sequestration
estimates, tended to decrease land use
change GHG emissions. For example,
our estimates of emissions per acre of
deforestation in Brazil tended to
increase because of improved data on
forest biomass carbon stocks in that
region. However, for example, our
deforestation estimates in China
decreased, in part because of new data
on foregone forest sequestration. The net
effect of the revisions varied depending
on the location and types of land use
changes in each biofuel scenario. The
major changes to this part of our
analysis, including a quantitative
uncertainty assessment, are discussed in
this section.
To determine the GHG emissions
impacts of international land use
changes, we followed the 2006 IPCC
Agriculture, Forestry, and Other Land
Use (AFOLU) Guidelines.171 We worked
with Winrock, which has years of
experience developing and
implementing the IPCC guidelines, to
estimate land conversion emissions
factors, including changes in biomass
carbon stocks, soil carbon stocks, nonCO2 emissions from clearing with fire
and foregone forest sequestration (i.e.,
lost future growth in vegetation and soil
carbon). In addition to seeking comment
on our analysis in the proposed rule,
EPA organized public hearings and
workshops, and an expert peer review
specifically eliciting feedback on this
part of the lifecycle analysis. All of the
expert peer reviewers generally felt that
our analysis followed IPCC guidelines
and was scientifically justifiable;
however, they did make several
suggestions of new data sources and
recommended areas that could benefit
from additional clarification. Based on
the detailed comments we received, we
worked with Winrock to make a number
of important revisions, which have
significantly improved this part of our
analysis.
171 2006 IPCC Guidelines for National Greenhouse
Gas Inventories, Volume 4, Agriculture, Forestry
and Other Land Use (AFOLU). See https://www.ipccnggip.iges.or.jp/public/2006gl/vol4.html.
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The proposed rule analysis included
land conversion emissions factors for 5
land categories in 314 regions across 35
of the most important countries, with a
weighted average applied to the rest of
the world. We augmented this analysis
to provide global coverage, including
emissions factors for 10 land categories
in over 750 regions across 160 countries.
Other significant improvements
included incorporation of new data
sources, emissions factors for peat soil
drainage, sequestration factors for
abandoned agricultural land, and a full
uncertainty assessment considering
every data input.
Another significant improvement in
our analysis was incorporation of higher
resolution soil carbon data. One of the
expert peer reviewers commented that
the weakest part of EPA’s international
emissions factor analysis for the
proposed rule was the global soil carbon
map that was used because of its coarse
resolution. To address this comment, we
incorporated the new Harmonized
World Soil Database, released in March
2009. This dataset provides one square
kilometer spatial resolution, which is a
major improvement compared to the
proposed rule analysis. This dataset also
includes an updated soil map of China
that the peer reviewers recommended.
Using this updated soil carbon data, the
change in soil carbon following
conversion of natural land to annual
crop production was estimated
following the 2006 IPCC guidelines.
When land is plowed in preparation for
crop production the soil loses carbon
over time until a new equilibrium is
established. To calculate soil carbon
emissions the IPCC approach considers
both tillage practices and agricultural
inputs. Some of the peer reviewers
expressed concern with our annual soil
carbon change estimates, which
assumed a constant rate of change over
20 years. However, for analytical
timeframes greater than 20 years, such
as used in our lifecycle analysis, the
peer reviewers agreed that the our
approach was scientifically justifiable.
More information about soil carbon
stock estimates is available in Chapter 2
of the RIA.
The expert peer reviewers generally
agreed that EPA’s estimate of forest
carbon stocks followed IPCC guidelines
and used the best available data. They
did, however, recommend that the
analysis could be updated with
improved forest biomass maps as they
become available. Consistent with these
suggestions, we incorporated improved
forest biomass maps for regions where
they were available. More information
about the specific data sources used is
available in RIA Chapter 2.
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In addition to estimating forest carbon
stocks for each region, EPA’s analysis
also includes estimates of annual forest
carbon uptake. When a forest is cleared
the future carbon uptake from the forest
is lost; this is known as foregone forest
sequestration. In the proposed rule, to
estimate annual forgone forest
sequestration, we used IPCC default
data for the growth rates of forests
greater than 20 years old. The expert
peer reviewers noted that these
estimates could be refined with more
detailed information from the scientific
literature. Many of the public
commenters were also concerned that
EPA’s approach overestimated foregone
sequestration because it did not
adequately account for natural
disturbances, such as fires and disease.
To address these comments, our
analysis has been updated with peer
reviewed studies of long-term growth
rates for both tropical and temperate
forests. These estimates are based on
long-term records (i.e., monitoring
stations in old-growth forests for the
tropics and multi-decadal inventory
comparisons for the temperate regions)
and reflect all losses/gains over time.
These studies show that the old-growth
forests in the tropics that many once
assumed to be in ‘‘steady state’’ (i.e.,
carbon gains equal losses) are in fact
still gaining carbon. In summary, our
analysis now includes more
conservative foregone forest
sequestration estimates that account for
natural gains and losses over time. More
information about these estimates is
provided in RIA Chapter 2.
Another consideration when
estimating GHG emissions resulting
from deforestation is that some of the
wood from the cleared forest can be
harvested and used in wooden products,
such as a table, that retain biogenic
carbon for a long period of time. Some
commenters argued that consideration
of the use of harvested wood in
products would decrease land use
change emissions and reduce the
impacts of biofuel production. As part
of analysis for the proposed rule, we
investigated the share of cleared forest
biomass that is typically used in
harvested wood products (HWP).
However, we did not account for this
factor in the proposed rule after it was
determined that HWP would have a
very small impact on the magnitude of
land use change emissions. A number of
commenters expressed concern that we
did not account for HWP, and they
argued that HWP would be more
significant than we had determined.
However, in response to specific
questions on this topic, all of the expert
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peer reviewers agreed that EPA had
properly accounted for HWP and other
factors (e.g., land filling) that could
prevent or delay emissions from land
clearing. One of the peer reviewers
noted that forests converted to
croplands are generally driven by
interests unrelated to timber, and thus
the trees are simply burned and
exceptions are probably of minor
importance. To study this issue further,
we looked at FAO timber volume
estimates for 111 developing countries,
and published literature on the share of
harvested timber used in wood products
and the oxidation period for wood
products, such as wood-based panels
and other industrial roundwood.
Consistent with the peer reviewers’
statements, our analysis concluded that
even in countries with high rates of
harvested timber utilization, such as
Indonesia, a very small share of
harvested forest biomass would be
sequestered in HWP for longer than 30
years. The details of our HWP analysis
are discussed further in RIA Chapter 2.
This is an area for further work, but
based on our analysis, and the feedback
from expert commenters, we do not
expect that consideration of HWP would
have a significant impact on the
magnitude of GHG emissions from
international deforestation in our
analysis. Furthermore, the range of
outcomes from consideration of HWP is
indirectly captured in our assessment of
forest carbon stock uncertainty, which is
described below.
The land conversion emissions
estimates used in our analysis consider
the carbon stored in crop biomass. In
the proposed rule, we used the IPCC
default biomass sequestration factor of 5
metric tons of carbon per hectare for
annual crops, and applied this value to
all crops globally. The final rule
analysis now distinguishes between
annual and perennial crops, with
separate sequestration estimates for
sugarcane and oil palm determined from
the scientific literature. The peer
reviewers suggested approaches to
refine our biomass carbon estimates for
different types of annual crops, e.g., for
corn versus soybeans. However, we
determined that adding crop-specific
biomass sequestration estimates would
have a very small impact on our results,
because in general annual cropland
carbon stocks range only from 3 to 7
tons per hectare and the average would
likely be very close to the IPCC default
factor currently applied. This is an area
for future work, but we are confident
that it would have very small impact.
Furthermore, the range of potential
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outcomes is captured in the uncertainty
analysis described below.
Other issues that were covered in the
expert peer review and public
comments included EPA’s carbon stock
estimates for grasslands, savanna,
shrublands and wetlands, and our
assumptions about which regions use
fire to clear land prior to agricultural
expansion. There is less data available
for these parameters relative to some of
the other issues discussed above, e.g.,
forest carbon stocks. Therefore, we
worked to use expert judgment to derive
global estimates for these parameters. In
general, the peer reviewers thought that
EPA’s approach to these issues was
reasonable and scientifically justifiable.
Some of the peer reviewers
recommended more resource-intensive
techniques to refine some of our
estimates. For example, regarding the
issue of clearing with fire, one of the
peer reviewers suggested that we could
review fire events in the historical
satellite data to estimate where fire is
most commonly used. We carefully
considered these suggestions, but did
not make significant revisions to our
analysis of these issues. Our review
concluded that given the timeframe and
goals of our analysis, the approach used
in the proposed rule was most
appropriate. We recognize that these are
areas for future work, and we will
consider new data as part of periodic
updates. Furthermore, our uncertainty
analysis, described below, considered
the fact that these are areas where less
data is available.
Other improvements in our analysis
included the addition of emissions from
peat soil drainage in Indonesia and
Malaysia, and sequestration factors for
abandoned agricultural land. Consistent
with the expert peer reviewers’
recommendations, we considered a
number of recent studies to estimate
average carbon emissions when peat
soils are drained in Indonesia and
Malaysia (the countries where peat soil
is sometimes drained in preparation for
new agricultural production). To
estimate annual sequestration on
abandoned agricultural land we used
our foregone sequestration estimates
and other data from IPCC. More
information about these estimates is
available in RIA Chapter 2.
As discussed in Section V.A.2, the
uncertainty of land use change
emissions is an important consideration
in EPA’s threshold determinations as
part of this rulemaking. We conducted
a full assessment of the uncertainty in
international land use change emissions
factors consistent with 2006 IPCC
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guidance.172 This analysis considers the
uncertainty in the every parameter used
in our emissions factor estimates.
Standard deviations for each parameter
were estimated based on the quality and
quantity of the underlying data. For
example, in our analysis the standard
errors (as a percent of the mean) tend to
be smallest for forest carbon stocks in
Brazil, because a large amount of high
quality/resolution data was considered
to estimate that parameter. Standard
errors are largest for parameters that
were estimated by scaling other data, or
applying IPCC defaults, e.g., savanna
carbon stocks in Yemen. More detail
about our estimate of parameter
uncertainty is available in RIA Chapter
2.
Following IPCC guidance, the
uncertainties in the individual
parameters of an emission factor can be
combined using either error propagation
methods (IPCC Tier 1) or Monte Carlo
simulation (IPCC Tier 2). We used the
Tier 2 Monte Carlo simulation method
for this analysis. Monte Carlo is a
method for analyzing uncertainty
propagation by randomly sampling from
the probability distributions of model
parameters, calculating the results of the
model from each sample, and
characterizing the probability of the
outcomes. An important consideration
for Monte Carlo analysis is the treatment
of correlation, or dependencies, among
parameter errors. Strong positive
correlation among parameter errors will
result in greater overall uncertainty. As
a simplified example, if the errors in our
forest carbon stock estimates are
positively correlated, then if we are
overestimating forest carbon in one
region we are likely overestimating
forest carbon in every region. We
worked with Winrock to estimate the
degree of correlation among variables—
both the correlation of one variable
across space as well as the correlation
of one variable to any others used in the
analysis. This was done by considering
dependencies in the underlying data
used to estimate each parameter. For
example, our forest carbon stock
estimates are correlated across Russia
because they were derived from one
biomass map covering Russia. However,
forest carbon stocks in Russia are not
correlated with China, because they
were derived from separate biomass
maps. This partial correlation approach
tended to reduce the overall uncertainty
172 2006 IPCC Guidelines for National Greenhouse
Gas Inventories, Volume 1: General Guidance and
Reporting, Chapter 3: Uncertainties, available at
https://www.ipcc-nggip.iges.or.jp/public/2006gl/
vol1.html.
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associated with GHG emissions factor
data.
The information about the uncertainty
in each parameter and the degree of
correlation across parameters was
utilized in Monte Carlo analysis to
determine the overall uncertainty in our
emissions factor estimates. We used the
Monte Carlo simulation to combine the
emissions factor and satellite data
uncertainty for every biofuel scenario
analyzed. Uncertainty ranges varied
across scenarios depending on the types
and locations of land use changes. For
example, based on the sources of
uncertainty analyzed, the 95%
confidence range for land use change
emissions (as a percent of the mean) was
¥27% to +32% for base yield corn
ethanol in 2022, and ¥56% to +76% for
base yield soy biodiesel in 2022.173
More details about this uncertainty
analysis are provided in RIA Chapter 2.
iv. Timeframe of Emission Analysis
Based on input from the expert peer
review and public comments, EPA has
chosen to analyze lifecycle GHG
emissions using a 30 year time period,
over which emissions are not
discounted, i.e., a zero discount rate is
applied to future emissions. The input
we received and the reasons for our use
of this approach are described in this
section.
As required by EISA, EPA must
determine whether biofuels reduce GHG
emissions by the required percentage
relative to the 2005 petroleum baseline.
In the proposal the Agency discussed a
number of accounting methods for
capturing the full stream of GHG
emissions and benefits over time. When
accounting for the time profile of
lifecycle GHG emissions, two important
assumptions to consider are: (1) The
time period considered and (2) the
discount rate (which could be zero)
applied to future emissions streams. At
the time of proposal, EPA requested
public comment on the choice of time
frames and discounting approaches for
purposes of estimating lifecycle GHG
emissions. Also, as part of the peer
review process, EPA requested comment
from expert peer reviewers on the
choice of the appropriate time frames
and discount rates for the RFS2
analysis. Below is a summary of the
comments we received on these issues
and how we address them in our
analytical approach.
Time Period for Analysis: In the
proposed rule, EPA highlighted two
time periods, 30 years and 100 years, for
173 The 95% confidence range indicates there is
no more than a 5% chance the actual value is likely
to be outside this range.
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consideration in our lifecycle analysis.
The Agency discussed the relative
advantages of these, and other, time
periods. In addition, the Agency sought
comment on whether it is appropriate to
split the time period for GHG emissions
assessment based upon how long the
biofuel would be produced (i.e., the
‘‘project’’ period) and the time period for
which there would likely be GHG
emissions changes (i.e., the ‘‘impact’’
period). To encourage expert and public
comments on these issues, EPA held
public hearings and workshops and
sponsored an expert peer review
specifically focused on this topic. The
expert input and comments that we
received included many valuable points
which guided our decisions about
which time frame should be the focus of
our analysis. Below we summarize some
of the key arguments made by the peer
reviewers and commenters, and how
these arguments factored into our choice
of analytical approach.
The expert peer reviewers discussed a
number of justifiable time periods
ranging from 13 to 100 years for
assessing lifecycle GHG emissions. A
subset of the reviewers said that EPA’s
analysis should be restricted to 2010–
2022 based on the years specified in
EISA, because these reviewers argued
that EPA should not assume that biofuel
production will continue beyond 2022
at the RFS2 levels. The reviewers said
that longer time frames, such as 100
years, were only appropriate if the
Agency used positive discount rates to
value future emissions. Almost all of the
peer reviewers said that a time frame of
20 to 30 years would be a reasonable
timeframe for assessing lifecycle GHG
emissions. They gave several reasons for
why a short time period is appropriate:
This time frame is the average life of a
typical biofuel production facility;
future emissions are less certain and
more difficult to value, so the analysis
should be confined insofar as possible
to the foreseeable future; and a nearterm time horizon is consistent with the
latest climate science that indicates that
relatively deep reductions of heattrapping gasses are needed to avoid
catastrophic changes due to a warming
climate. The peer reviewers suggested
that while there is no unassailable basis
for choosing a precise timeframe the
expected average lifetime of a biofuel
production facility is the ‘‘most sensible
anchor’’ for the choice of a timeframe.
There was support in the public
comments for both the 30 year and 100
year time frames. A number of public
commenters supported the use of a 30
year time period, or less, and made
arguments similar to those of the expert
peer reviewers. They argued that shorter
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time periods give more weight to the
known, more immediate, effects of
biofuel production and that use of
longer time periods gives more weight
to activities that are much more
uncertain, and that the 100 year
timeframe is inappropriate because it is
much longer than the life of individual
biofuel plants.
On the issue of whether to split the
time period for GHG emissions analysis
into the ‘‘project and ‘‘impact’’ periods,
there was little support for the use of a
split time frame for evaluating lifecycle
GHG emissions by the peer reviewers or
in the public comments. The peer
reviewers thought that it would be
difficult to find a scientific basis for
determining the length of the two
different time horizons. Also, splitting
the time horizon would necessitate
consideration of the land use changes
following the end of the project time
horizon such as land reversion.
However, the majority of expert peer
reviewers did not think it was
appropriate to attribute potential land
reversions, following the project time
frame, to a biofuel’s lifecycle.
Based upon the comments discussed
above, EPA has decided to use a 30 year
frame for assessing the lifecycle GHG
emissions. There are several reasons
why the 30 year time frame was chosen.
The full life of a typical biofuel plant
seems reasonable as a basis for the
timeframe for assessing the GHG
emissions impacts of a biofuel, because
it provides a guideline for how long we
can expect biofuels to be produced from
a particular entity using a specific
processing technology. Also, the 30 year
time frame focuses on GHG emissions
impacts that are more near term and,
hence, more certain. We also
determined that longer time periods
were less appropriate because the peer
reviewers recommended that they
should only be used in conjunction with
positive discount rates; but, for the
reasons discussed below, we are using
a zero discount rate in our analysis. In
addition, the 30 year time frame is
consistent with responses of the peer
reviewers that EPA should not split the
time periods for analysis, or include
potential land reversions following the
project time period in the biofuel
lifecycle.
Discounting: In the RFS2 Proposal,
EPA highlighted two principal options
for discounting the lifecycle GHG
emission streams from biofuels over
time. The first involved the use of a 2%
discount rate using the 100 year time
horizon for assessing lifecycle GHG
emissions streams. The second option
involved using a 30 year time horizon
for examining lifecycle GHG emissions
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impacts. In the 30 year case, each GHG
emission is treated equally through
time, which implicitly assumes a zero
discount rate to GHG lifecycle emissions
streams. The issue of whether to
discount lifecycle GHG emissions was
raised as a topic that EPA sought
comment on in both the peer review
process and in public comments.
EPA received numerous comments on
the issue of whether the Agency should
be discounting lifecycle GHG emissions
through time. While many of peer
reviewers thought that current GHG
emissions reductions should be more
strongly weighted than future
reductions, the peer reviewers were in
general agreement that a discount rate
should only be applied to a monetary
unit, rather than a physical unit, such as
GHG emissions. Public commenters
suggested that discounting is an
essential part of long term cost benefit
analysis but it is not necessary in the
context of the physical aggregation of
lifecycle GHG emissions called for in
the EISA. Further, public commenters
expressed concerns that any discount
rate chosen by the Agency would be
based upon relatively arbitrary criteria.
After considering the comments on
discounting from the peer review and
the public, EPA has decided not to
discount (i.e., use a 0% discount rate)
GHG emissions due to the many issues
associated with applying an economic
concept to a physical parameter. First, it
is unclear whether EISA intended
lifecycle GHG emissions to be converted
into a metric whose underpinnings rest
on principals of economic valuation. A
more literal interpretation of EISA is
that EPA should consider only physical
GHG emissions. Second, even if the
principle of tying GHG emissions to
economic valuation approaches were to
be accepted, there would still be the
problem that there is a lack of consensus
in the scientific community about the
best way to translate GHG emissions
into a proxy for economic damages.
Also, there is a lack of consensus as to
the appropriate discount rate to apply to
GHG lifecycle emissions streams
through time. Finally, since EPA has
decided to base threshold assessments
of lifecycle GHG emissions on a 30 year
time frame, the issue of whether to
discount GHG emissions is not as
significant as if the EPA had chosen the
100 year time frame to assess GHG
emissions impacts. More discussion of
discount rates and their impact on the
lifecycle results can be found in Chapter
2 of the RIA.
v. GTAP and Other Models
Although we have used the partial
equilibrium (PE) models FASOM and
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FAPRI–CARD as the primary tools for
evaluating whether individual biofuels
meet the GHG thresholds, as part of the
peer review process, we explicitly
requested input on whether general
equilibrium (GE) models should be
used. None of the comments
recommended using a GE model as the
sole tool for estimating GHG emissions,
given the limited details on the
agricultural sector contained in most GE
models. The peer reviewers generally
supported the use of the FASOM and
FAPRI–CARD models for our GHG
analysis given the need for additional
detail offered in the PE models, however
several comments suggested
incorporating GE models into the
analysis.
Given these recommendations, we
opted to use the GTAP model to inform
the range of potential GHG emissions
associated with land use change
resulting from an increase in renewable
fuels. As discussed in the NPRM, there
are several advantages to using GTAP.
As a general equilibrium model, GTAP
captures the interaction between
different markets (e.g., agriculture and
energy) in different regions. It is
distinctive in estimating the complex
international land use change through
trade linkages. In addition, GTAP
explicitly models land-use conversion
decisions, as well as land management
intensification. Most importantly, in
contrast to other models, GTAP is
designed with the framework of
predicting the amount and types of land
needed in a region to meet demands for
both food and fuel production. The
GTAP framework also allows
predictions to be made about the types
of land available in the region to meet
the needed demands, since it explicitly
represents different types of land cover
within each Agro-Ecological Zone.
Like the peer reviewers, we felt that
some of the drawbacks of the GTAP
model prevent us from using GTAP as
the sole model for estimating GHG
emissions from biofuels. As discussed
in the NPRM, GTAP does not utilize
unmanaged cropland, nor is it able to
capture the long-run baseline issues
(e.g., the state of the economy in 2022).
For our analysis, the GTAP model was
most valuable for providing another
estimate of the quantity and type of land
conversion resulting from an increase in
corn ethanol and biodiesel given the
competition for land and other inputs
from other sectors of the economy.
These results were therefore considered
as part of the weight of evidence when
determining whether corn ethanol or
biodiesel met the GHG thresholds.
The quantity of total acres converted
to crop land projected by FAPRI–CARD
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were within the range of values
projected by GTAP when normalized on
a per BTU basis, although there were
differences in the regional distribution
of these changes. The land use changes
projected by GTAP were smaller than
land use changes predicted by FAPRI–
CARD, which is primarily due to several
important differences in the modeling
frameworks. First, the GTAP model
incorporates a more optimistic view of
intensification options by which higher
prices induced by renewable fuels
results in higher yields, not just for
corn, but also for other displaced crops.
Second, the demands for other uses of
land are explicitly captured in GTAP.
Therefore, when land is withdrawn
from these uses, the prices of these
products rise and provide a certain
amount of ‘‘push-back’’ on the
conversion of land to crops from pasture
or forest. Third, none of the peerreviewed versions of GTAP currently
contain unmanaged cropland, thereby
omitting additional sources of land.
Finally, the GTAP model also predicted
larger increases in forest conversion
than the FAPRI–CARD/Winrock
analysis, in part because the GTAP
model includes only three types of land
(i.e., crops, pasture, forest). As
discussed in the FAPRI–CARD/Winrock
section, there are many other categories
of land which may be converted to
pasture and crop land.
As with all economic models, GTAP
results are sensitive to certain key
parameter values. One advantage of this
framework is that it offers a readily
usable approach to Systematic
Sensitivity Analysis (SSA) using
efficient sampling techniques. We have
exploited this tool in order to develop
a set of 95% confidence intervals
around the projected land use changes.
Several key parameters were identified
that have a significant impact on the
land use change projections, including
the yield elasticity (i.e., the change in
yield that results from a change in that
commodity’s price), the elasticity of
transformation of land supply (i.e., the
measure of how easily land can be
converted between forest, pasture, and
crop land), and the elasticity of
transformation of crop land (i.e., the
measure of how easily land can be
converted between crops). Although the
confidence intervals are relatively large,
in most cases the ranges do not bracket
zero. Therefore, we conclude that the
impacts of the corn ethanol and soybean
biodiesel mandates on land use change
are statistically significant. These
confidence intervals also bracket the
FAPRI–CARD results. Additional
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information on the GTAP results is
discussed in RIA Chapter 2.
this issue and consider incorporating
them in the future.
c. Feedstock Transport
To estimate the GHG impacts of
transporting corn from the field to an
ethanol production facility and
transporting the co-product DDGS from
the ethanol facility to the point of use,
we used the method described in the
proposed rule. We also did not change
our estimates for the transport of
cellulosic biofuel feedstock and
biomass-based diesel feedstock.
For sugarcane transport, we received
the comment that the GREET defaults
used to estimate the energy
consumption and associated GHG
emissions do not all reflect current
industry practices. To address this
concern, we reviewed the current
literature on sugarcane transport and
updated our assumptions on the
distance sugarcane travels by truck from
the field to ethanol production facilities
as well as the payload and fuel economy
of those trucks. We incorporated these
revised inputs into an updated version
of the GREET model (Version 1.8c) in
order to estimate the GHG impacts of
sugarcane transport. More details on
these updates can be found in Chapter
2 of the RIA.
In the proposal, we discussed
updating our analysis to incorporate the
results of a recent study detailing
biofuel production locations and modes
of transport. This study, conducted by
Oak Ridge National Laboratory,
modeled the transportation of ethanol
from production or import facilities to
petroleum blending terminals. Since the
study did not explicitly address the
transport of biofuel feedstocks, we did
not implement the results for this part
of the analysis. However, we did
incorporate the results into our
assessment of the GHG impacts of fuel
transportation. We will continue to
examine whether our feedstock
transport estimates could be
significantly improved by implementing
more detailed information on the
location of biofuel production facilities.
We also discussed updating the
transportation modes and distances
assumed for corn and DDGS to account
for the secondary or indirect
transportation impacts. For example,
decreases in exports will reduce overall
domestic agricultural commodity
transport and emissions but will
increase transportation of commodities
internationally. We did not implement
these secondary transportation impacts
in this final rule. While we do not
anticipate that such impacts would
significantly change the lifecycle
analysis, we plan to continue to look at
d. Biofuel Processing
For the proposal the GHG emissions
from renewable fuel production were
calculated by multiplying the Btus of
the different types of energy inputs at
biofuel process plants by emissions
factors for combustion of those fuel
sources. The Btu of energy input was
determined based on analysis of the
industry and specific work done as part
of the NPRM. The emission factors for
the different fuel types are from GREET
and were based on assumed carbon
contents of the different process fuels.
The emissions from producing
electricity in the U.S. were also taken
from GREET and represent average U.S.
grid electricity production emissions.
We received comments on our
approach and updated the analysis of
GHG emissions from biofuel process for
the final rule specifically regarding
process energy use and the treatment of
co-products.
Process Energy Use: For the final rule
we updated each of our biofuel
pathways to include the latest data
available on process energy use. For the
proposal, one of the key sources of
information on energy use for corn
ethanol production was a study from the
University of Illinois at Chicago Energy
Resource Center. Between proposal and
final rule, the study was updated,
therefore, we incorporated the results of
the updated study in our corn ethanol
pathways process energy use for the
final rule. We also updated corn ethanol
production energy use for different
technologies in the final rule based on
feedback from industry technology
providers as part of the public comment
period. The main difference between
proposal and final corn ethanol energy
use values was a slight increase in
energy use for the corn ethanol
fractionation process, based on feedback
from industry technology providers.
For the proposal we based biodiesel
processing energy on a process model
developed by USDA–ARS to simulate
biodiesel production from the Fatty
Acid Methyl Ester (FAME)
transesterification process. We received
a number of comments from
stakeholders that the energy balance for
biodiesel production was overestimating
energy use and should be updated.
During the comment period USDA
updated their energy balance for
biodiesel production to incorporate a
different biodiesel dehydration process
based on a system which has resulted in
a decrease in energy requirements. This
change was reflected in the energy use
values for biodiesel assumed in our final
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rule analysis which resulted in reduced
GHG impacts from the biodiesel
production process.
In addition, for the final rule we have
included an analysis of algae oil
production for biodiesel based on
ASPEN process modeling from NREL.174
The analysis is for two major cultivation
pathways (open pond and
photobioreactors) for a facility that can
be feasibly commercialized in the
future, represented by a ‘‘2022’’ target
production. We coupled the algae oil
production process (which includes
cultivation, harvesting, and extraction)
with the biodiesel production energy
use from virgin oils energy use model
under the assumption that algae oil is
similar enough to that of virgin oil.
For the cellulosic biofuel pathways,
we updated our final rule energy
consumption assumptions on process
modeling also completed by NREL. For
the NPRM, NREL estimated energy use
for the biochemical enzymatic process
to ethanol route in the near future
(2010) and future (2015 and
2022).175 176 177 As there are multiple
processing pathways for cellulosic
biofuel, we have expanded the analysis
for the FRM to also include
thermochemical processes (MixedAlcohols route and Fischer-Tropsch to
diesel route) for plants which assume
woody biomass as its feedstock.
Under the imported sugarcane ethanol
cases we updated process energy use
assumptions to reflect anticipated
increases in electricity production for
2022 based on recent literature and
comments to the proposal. One major
change was assuming the potential use
of trash (tops and leaves of sugarcane)
collection in future facilities to generate
additional electricity. The NPRM had
only assumed the use of bagasse for
electricity generation. Based on
comments received, we are also
assuming marginal electricity
production (i.e., natural gas) instead of
average electricity mix in Brazil which
is mainly hydroelectricity. This
approach assumes surplus electricity
will likely displace electricity which is
normally dispatched last, in this case
174 Davis, Ryan. November 2009. Technoeconomic analysis of microalgae-derived biofuel
production. National Renewable Energy Laboratory
(NREL)
175 Tao, Ling and Aden, Andy. November 2008.
Techno-economic Modeling to Support the EPA
Notice of Proposed Rulemaking (NOPR). National
Renewable Energy Laboratory (NREL).
176 Aden, Andy. September 2009. Mixed Alcohols
from Woody Biomass—2010, 2015, 2022. National
Renewable Energy Laboratory (NREL).
177 Davis, Ryan. August 2009. Techno-economic
analysis of current technology for Fischer-Tropsch
fuels. National Renewable Energy Laboratory
(NREL).
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typically natural gas based electricity.
The result of this change is a greater
credit for displacing marginal grid
electricity and thus a lower GHG
emissions profile for imported
sugarcane ethanol than that assumed in
the NPRM. We also received public
comment that there are differences in
the types of process fuel e.g. used in the
dehydration process for ethanol. While
using heavier fuels such as diesel or
bunker fuel tends to increase the
imported sugarcane ethanol emissions
profile, the overall impact was small
enough that lifecycle results did not
change dramatically.
Co-Products: In response to comments
received, we included corn oil
fractionation and extraction as a
potential source of renewable fuels for
this final rulemaking. Based on research
of various corn ethanol plant
technologies, corn oil as a co-product
from dry mill corn ethanol plants can be
used as an additional biodiesel
feedstock source (see Section VII.A.2 for
additional information). Dry mill corn
ethanol plants have two different
technological methods to withdraw corn
oil during the ethanol production
process. The fractionation process
withdraws corn oil before the
production of the DGS co-product. The
resulting product is food-grade corn oil.
The extraction process withdraws corn
oil after the production of the DGS coproduct, resulting in corn oil that is
only suitable for use as a biodiesel
feedstock.
Based on cost projections outlined in
Section VII.A, it is estimated that by
2022, 70% of dry mill ethanol plants
will conduct extraction, 20% will
conduct fractionation, and that 10%
will choose to do neither. These
parameters have been incorporated into
the FASOM and FAPRI–CARD models
for the final rulemaking analysis,
allowing for corn oil from extraction as
a major biodiesel feedstock.
Glycerin is a co-product of biodiesel
production. Our proposal analysis did
not assume any credit for this glycerin
product. The assumption for the
proposal was that by 2022 the market
for glycerin would be saturated due to
the large increase in biodiesel
production in both the US and abroad
and the glycerin would therefore be a
waste product. We received a number of
comments that we should be factoring
in a co-product credit for glycerin as
there would be some valuable use for
this product in the market. Based on
these comments we have included for
the final rule analysis that glycerin
would displace residual oil as a fuel
source on an energy equivalent basis.
This is based on the assumption that the
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glycerin market would still be saturated
in 2022 and that glycerin produced from
biodiesel would not displace any
additional petroleum glycerin
production. However, the biodiesel
glycerin would not be a waste and a low
value use would be to use the glycerin
as a fuel source. The fuel source
assumed to be replaced by the glycerin
is residual oil. This inclusion of a coproduct credit for glycerin reduces the
overall GHG impact of biodiesel
compared to the proposal analysis.
e. Fuel Transportation
For the proposed rule, we estimated
the GHG impacts associated with the
transportation and distribution of
domestic and imported ethanol and
biomass-based diesel using GREET
defaults. We have upgraded to the most
recent version of GREET (Version 1.8c)
for our transportation analysis in the
final rule.178 We made several other
updates to the method we utilized in the
proposed rule. These updates are
described here and in more detail in
Chapter 2 of the RIA.
In the proposal, we noted our
intention to incorporate the results of a
recent study by Oak Ridge National
Laboratory (ORNL) into our
transportation analysis for the final rule.
The ORNL study models the
transportation of ethanol from refineries
or import facilities to the petroleum
blending terminals by domestic truck,
marine, and rail distribution systems.
We used ORNL’s transportation
projections for 2022 under the EISA
policy scenario to update our estimates
of the GHG impacts associated with the
transportation of corn, cellulosic, and
sugarcane ethanol. Since the study did
not address the distribution of ethanol
from petroleum blending terminals to
refueling stations, we continued to use
GREET defaults to estimate these
impacts.
The ORNL study also did not address
the transportation of imported ethanol
within its country of origin or en route
to the import facility in the United
States. As in the proposal, we used
GREET defaults to estimate the impacts
associated with the transportation of
sugarcane ethanol within Brazil. We
updated the GREET default for the
average distance sugarcane ethanol
travels by ocean tanker using recent
shipping data from EIA in order to
account for both direct Brazilian exports
and the shipment of ethanol from
countries in the Caribbean Basin
178 The method used to estimate the GHG impacts
associated with biodiesel transportation has not
been changed since the proposal. This method
utilized an earlier version of the GREET model.
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Initiative. We received several
comments on the back-haul emissions
associated with ocean transport. For the
final rule, we assumed that these
emissions were negligible.
f. Vehicle Tailpipe Emissions
We updated the CO2 emissions factors
for ethanol and biodiesel to be
consistent with those used in the
October 30, 2009 final rulemaking for
the Mandatory GHG Reporting Rule.
These changes caused the tailpipe GHG
emission factors to increase by 0.8% for
ethanol and to decrease by 1.5% for
biodiesel. Specific tailpipe combustion
values used in this final rule can be
found in Chapter 2 of the RIA. Estimates
for CH4 and N2O were made using
outputs from EPA’s MOVES model.
3. Petroleum Baseline
For the proposed rule, we conducted
an analysis to determine the lifecycle
greenhouse gas emissions for the
petroleum baseline against which
renewable fuels were to be compared.
We utilized the GREET model (Version
1.8b), which uses an energy efficiency
metric to calculate GHG emissions
associated with the production of
petroleum-based fuels. We received
numerous comments regarding this
approach.
Petroleum baseline calculation from
proposed rule: The GREET model relies
on using average values as inputs to
estimate aggregate emissions, rather
than using site-specific values.
Commenters noted a number of GREET
input values that they believed to be
incorrect. These included: energy
efficiency values for crude oil
extraction; methane emission factors for
oil production and flaring;
transportation distances for crude oil
and petroleum products; and the oil
tanker cargo payload value. Commenters
also noted that GREET does not account
for the energy consumption associated
with crude oil transport in the country
of extraction.
In addition, commenters stated that
the crude oil import slate assumed in
the proposed rule was inconsistent with
EIA crude oil production and import
data for 2005. Commenters also noted
that the gasoline and diesel mix that we
used for the proposal did not match
with EIA prime supplier sales volume
data. One specific comment focused on
the definition of low-sulfur diesel in
GREET, where it is defined as being 11
ppm sulfur content, which is
inconsistent with EPA’s definition. As a
result, in the proposed rule, all
transportation diesel produced in 2005
was assumed to be ultra-low sulfur
diesel.
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We largely agree with the above
comments. An updated version of the
GREET model (Version 1.8c) is
available, and it may address some of
the issues raised by commenters. We
considered using this new version of
GREET with updated input values from
publically available sources to
determine the petroleum baseline for
the final rule. However, we have
decided that using the 2005 petroleum
baseline model developed by the
National Energy Technology Laboratory
(NETL) 179 would address the
commenters’ concerns, and result in a
more accurate and comprehensive
assessment of the petroleum baseline
than we could obtain using the GREET
model.
Use of NETL study for final rule
petroleum baseline calculation: In the
proposed rule, we requested comment
on using the NETL study for our 2005
petroleum baseline for the final
rulemaking. We only received one
comment, which agreed that the NETL
values were generally more accurate and
better documented than the values in
GREET. However, the commenter also
stated that NETL’s use of 2002 crude oil
extraction data would underestimate
extraction emissions for 2005, and that
it would be inconsistent to use the
GREET model for determining GHG
emissions from biofuels, but not for
petroleum.
We do not agree with the commenters’
criticism of the NETL model. We have
not seen data that indicates that the
GHG emissions associated with crude
oil extraction would be appreciably
different in 2005 than 2002. EPA also
believes that it is important to use the
best available tools to estimate a
petroleum baseline that can be
compared to renewable fuels. The fact
that some GREET emission factors are
used in the calculation of biofuel
lifecycle GHG impacts is not a reason to
use the GREET model for the petroleum
baseline analysis over what we feel to be
a better tool for the baseline calculation
needed.
NETL states that the goal of their
study is to ‘‘determine the life cycle
greenhouse gas emissions for liquid
fuels (conventional gasoline,
conventional diesel, and kerosene-based
jet fuel) production from petroleum as
consumed in the U.S. in 2005 to allow
comparisons with alternative
transportation fuel options on the same
basis (i.e., life cycle modeling
assumptions, boundaries, and allocation
179 Department of Energy: National Energy
Technology Laboratory. 2009. NETL: PetroleumBased Fuels Life Cycle Greenhouse Gas Analysis—
2005 Baseline Model.
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procedures).’’ Unlike GREET, the NETL
study utilized site-specific data, such as
country-specific crude oil extraction
profiles and port-to-port travel distances
for imported crude oil and petroleum
products. The NETL model also
accounts for NGLs and unfinished oils
as refinery inputs, which is not
available in GREET.
Thus, we believe that use of the NETL
model addresses the commenters’
concerns with the GREET inputs used in
the proposed rule. We have also verified
that the NETL model uses a crude oil
input mix and gasoline and diesel
product slate consistent with EIA data
for 2005.
For the final rule, we have also
updated the CO2 emissions factors to be
consistent with other EPA rulemakings.
EPA recently revised the CO2 emission
factors for gasoline and diesel and used
them in the September 28, 2009
proposed rule to establish GHG
standards for light-duty vehicles. These
new factors are slightly lower than those
used in the RFS2 proposal and result in
a decrease in tailpipe GHG emissions of
0.4% for gasoline of 0.6% and for diesel.
Overall, with the switch to NETL and
the updated tailpipe values, the final
petroleum baseline value calculated for
the final rule analysis does not differ
significantly from what we calculated in
the proposed rule.
Inclusion of estimate for land use
change: Numerous commenters raised
the issue of land use change with regard
to oil production, both on a direct and
indirect basis. The proposed rule
analysis for baseline petroleum
emissions did not consider any land use
change emissions associated with crude
oil extraction. For the final rule, we do
not consider land use emissions
associated with road or other
infrastructure construction for
petroleum extraction, transport,
refining, or upgrading, as the land use
change associated with roads
constructed for crop and livestock
production was also not included.
Furthermore, land use associated with
natural gas extracted for use in oil sands
extraction or upgrading was also not
considered, as the land use change from
natural gas extracted for biofuels
production was not considered.
However, for the final rule we did
consider the inclusion of land use
emissions associated with oil extraction.
Using estimates for land-use change
from conventional oil production and
oil sands in conjunction with our data
for the carbon intensity of land being
developed, we were able to determine
GHG emissions associated with land use
change for oil production. Our analysis
showed that the value was negligible
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compared to the full petroleum
lifecycle. More detail on this analysis
can be found in Chapter 2 of the RIA.
Consideration of marginal impacts:
We received several comments stating
that we did not use consistent system
boundaries in our comparisons of
biofuels and petroleum-based fuels, in
particular by using a marginal
assessment of GHG emissions related to
biofuel, but not doing so for baseline
petroleum fuels. According to
commenters, by not assessing the
marginal impacts of petroleum
production, we overestimated the GHG
impacts of an increase in biofuel use in
the proposed rule. Commenters argued
that a consistent modeling approach
would involve a marginal analysis for
both biofuels and the petroleum
baseline.
The reason the system boundaries
used for threshold assessment in the
proposed rule and the final rule did not
include a marginal analysis of
petroleum production was due to the
definition of ‘‘baseline lifecycle
greenhouse gas emissions’’ in Section
211(o)(1)(C) of the CAA. The definitions
of the different renewable fuel
categories specify that the lifecycle
threshold analysis be compared to
baseline lifecycle greenhouse gas
emissions, which are defined as:
The term ‘baseline lifecycle greenhouse gas
emissions’ means the average lifecycle
greenhouse gas emissions, as determined by
the Administrator, after notice and
opportunity for comment, for gasoline or
diesel (whichever is being replaced by the
renewable fuel) sold or distributed as
transportation fuel in 2005.
Therefore, the petroleum production
component of the system boundaries is
specifically mandated by EISA to be
based on the 2005 average for crude oil
used to make gasoline or diesel sold or
distributed as transportation fuel, and
not the marginal crude oil that will be
displaced by renewable fuel.
Furthermore, as the EISA language
specifies that the baseline emissions are
to be only ‘‘average’’ lifecycle emissions
for this single specified year and
volume, it does not allow for a
comparison of alternative scenarios.
Indirect effects can only be determined
using such an analysis; therefore there
are no indirect emissions to include in
the baseline lifecycle greenhouse gas
emissions.
On the other hand, assessing the
lifecycle GHG emissions of renewable
fuel is not tied by statute to the 2005
baseline and could therefore be based
on a marginal analysis of anticipated
changes in transportation fuel as would
result from meeting the EISA mandates.
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Thus, Congress did not, as many
commenters suggested, intend to
accomplish simply a reduction in GHG
emissions as compared to the situation
that would exist in the future without
enactment of EISA, as would be the case
if Congress had specified that EPA use
a marginal analysis in assessing the
GHG emissions related to conventional
baseline fuels that the EISA-mandated
biofuels would replace. Rather, the
statute specifies a logical approach for
reducing the GHG emissions of
transportation fuel as compared to those
emissions that occurred in 2005.
Therefore, EPA has retained in today’s
final rule the basic analytical approach
(marginal analysis for biofuels and 2005
average for baseline fuels) used in the
proposed rule.
C. Threshold Determination and
Assignment of Pathways
As required by EISA, EPA is making
a determination of lifecycle GHG
emission threshold compliance for the
range of pathways likely to produce
significant volumes of biofuel for use in
the U.S. by 2022. These threshold
assessments only pertain to biofuels
which are not produced in production
facilities that are grandfathered
(grandfathering of production facilities
is discussed at the end of Section V.C).
As described in Section I.A.3, because
of the inherent uncertainty and the state
of the evolving science on this issue,
EPA is basing its GHG threshold
compliance determinations for this rule
on an approach that considers the
weight of evidence currently available.
For fuel pathways with a significant
land use impact, the evidence
considered includes the best estimate as
well as the range of possible lifecycle
greenhouse gas emission results based
on formal uncertainty and sensitivity
analyses conducted by the Agency. In
making the threshold determinations for
this rule, EPA weighed all of the
evidence available to it, while placing
the greatest weight on the best estimate
value for the base yield scenario. In
those cases where the best estimate for
the potentially conservative base yield
scenario exceeds the reduction
threshold, EPA judges that there is a
good basis to be confident that the
threshold will be achieved and is
determining that the bio-fuel pathway
complies with the applicable threshold.
To the extent the midpoint of the
scenarios analyzed lies further above a
threshold for a particular biofuel
pathway, we have increasingly greater
confidence that the biofuel exceeds the
threshold.
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EPA recognizes that the state of
scientific knowledge in this area is
continuing to evolve, and that as the
science evolves, the lifecycle
greenhouse gas assessments for a variety
of fuel pathways will continue to
change. Therefore, while EPA is making
regulatory determinations for fuel
pathways as required by the statute in
this final rule based on its current
assessment, EPA is at the same time
committing to further reassess these
determinations and the lifecycle
estimates. As part of the ongoing effort,
we will ask for the expert advice of the
National Academy of Sciences as well
as other experts and then reflect this
advice and any updated information in
a new assessment of the lifecycle GHG
emission performance of the biofuels
being evaluated today. EPA will request
that the National Academy of Sciences
evaluate the approach taken in this rule,
and the underlying science of lifecycle
assessment and in particular indirect
land use change, and make
recommendations for subsequent
rulemakings on this subject. This new
assessment could in some cases result in
new determinations of threshold
compliance compared to those included
in this rule which would apply to future
production from plants that are
constructed after each subsequent rule.
Nonetheless, EPA is required by EISA
to make threshold determinations at this
time as to what fuels qualify for each of
the four different fuel categories and
lifecycle GHG thresholds. In the
previous sections, we have described
the analytical basis EPA is using for its
lifecycle GHG assessment. These
analyses represent the most up to date
information currently available on the
GHG emissions associated with each
element of the full lifecycle assessment.
Notably these analyses include an
assessment of uncertainty for key
parameters of the pathways evaluated.
The best estimates and ranges of results
for the different pathways can be used
to help assess whether a particular
pathway should be considered as
attaining the 20%, 50% or 60%
thresholds, as applicable. The graphs
included in the discussion below
provide representative depictions of the
results of our analysis (including the
uncertainty in the modeling) for typical
pathways for corn ethanol, biodiesel
produced from soy oil and from waste
oils, fats and greases, sugarcane ethanol
and cellulosic biofuel from switchgrass.
We have also conducted lifecycle
modeling assessments for cellulosic
biofuel pathways using other feedstock
sources, for biobutanol and for two
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14785
specific pathways for emerging biofuels
that would use oil from algae as their
feedstock. Additional GHG performance
assessment results for other feedstock/
fuel/technology combinations are also
described below as well as in the RIA
Chapter 2.
Below we consider the analytical
results of scenarios and fuel pathways
modeled by EPA as well as additional
appropriate information to determine
the threshold compliance for an array of
biofuels likely to be produced in 2022.
Ethanol from corn starch: While EPA
analyzed the lifecycle GHG performance
of a variety of ethanol from corn starch
pathways (complete results can be
found in the RIA), for purposes of this
threshold determination we have
focused the discussion on the impacts of
those plant designs that are most likely
to be built in the future. We have
focused this discussion on new plant
designs because production from
existing plants is grandfathered for
purposes of compliance with the 20%
lifecycle GHG threshold. Only new
plants and expanded capacity at
existing plants need to comply with a
20% lifecycle GHG emissions threshold
to comply with the total renewable fuel
mandate under the RFS2.
While we focus our lifecycle GHG
threshold analysis on the new plant
designs most likely to be built through
2022, we also note that some existing
plant designs, although subject to the
grandfathering provisions, would not
qualify if having to meet the 20%
performance threshold. For example,
existing designs of ethanol plants using
coal as their process heat source would
not qualify.
As discussed in Section IV, EPA
anticipates that by 2022 any new dry
mill plants producing ethanol from corn
starch will be equipped with more
energy efficient technology and/or
enhanced co-product production than
today’s average plant. These predictions
are largely based on economic
considerations. To compete
economically, future ethanol plants will
need to employ energy saving
technologies and other value added
technologies that have the effect of also
reducing their GHG footprint. For
example, while only in limited use
today, we predict approximately 90% of
all plants will be producing corn oil as
a by-product either through a
fractionation or extraction process; it is
likely most if not all new plants will
elect to include such technology. We
also predict that all will use natural gas,
biomass or biogas as the process energy
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source.180 181 We also expect that, to
lower their operating costs, most
facilities will sell a portion of their coproduct DGS prior to drying thus
reducing energy consumption and
improving the efficiency and lifecycle
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180 Dry mill corn ethanol plants using coal as a
process energy source would not qualify as
exceeding the 20% reduction threshold as modeled.
We do not expect plants relying on coal for process
energy to be built through 2022. However, if they
were built, they would need to use technology
improvements such as carbon capture and storage
(CCS) technology. We did not model what the
performance would be if these plants also installed
CCS technology.
181 We do not believe new wet mill corn ethanol
plants will be built through 2022 since this design
is much more complicated and expensive than a
dry mill plant. Especially since dry mill plants
equipped with corn oil fractionation will produce
additional supplies of food grade corn oil (one of
the products and therefore reasons to construct a
wet mill plant), we see no near term incentive for
additional wet mill ethanol production capacity.
However, we have modeled the lifecycle GHG
impact of ethanol produced at a wet mill plant
when relying on biomass as the process energy
source and have determined it would meet the 20%
GHG threshold. Therefore, this type of facility is
also included in Table V.C–6.
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GHG performance of the plant. The
current national average plant sells
approximately 37% of the DGS coproduct prior to drying.
In analyzing the corn ethanol plant
designs we expect could be built
through 2022 using natural gas or
biomass for process energy and
employing advanced technology, in all
cases, the midpoint and therefore the
majority of the scenarios analyzed are
above the 20% threshold. This indicates
that, based on the current modeling
approaches and sets of assumptions, we
are over 50% confident the actual GHG
performance of the ethanol from new
corn ethanol plants will exceed the
threshold of 20% improvement in
lifecycle GHG emissions performance
compared to the gasoline it is replacing.
We are determining at this time that
the corn ethanol produced at such new
plants (and existing plants with
expanded capacity employing the same
technology) will exceed the 20% GHG
performance threshold. A complete
listing of complying facilities using
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advanced technologies and operating
procedures is included in Table V.C–6.
Figure V.C–1 shows the percent
change in the lifecycle GHG emissions
compared to the petroleum gasoline
baseline in 2022 for a corn ethanol dry
mill plant using natural gas for its
process energy source, drying the
national average of 63% of the DGS it
produces and employing corn oil
fractionation technology. Lifecycle GHG
emissions equivalent to the gasoline
baseline are represented on the graph by
the zero on the X-axis. The 20%
reduction threshold is represented by
the dashed line at ¥20 on the graph.
The results for this corn ethanol
scenario are that the midpoint of the
range of results is a 21% reduction in
GHG emissions compared to the
gasoline 2005 baseline. The 95%
confidence interval around that
midpoint ranges from a 7% reduction to
a 32% reduction compared to the
gasoline baseline.
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Table V.C–1 below includes lifecycle
GHG emissions broken down by several
stages of the lifecycle impacts for a
natural gas dry mill corn ethanol facility
as compared to the 2005 baseline
average for gasoline. This table (and
similar tables which follow in the
discussion for other biofuels) is
included to transparently demonstrate
the contribution of each stage and their
relative significance. Lifecycle
emissions are normalized per energy
unit of fuel produced and presented in
kilograms of carbon-dioxide equivalent
GHG emissions per million British
Thermal Units of renewable fuel
produced (kg CO2e/mmBTU). The
domestic and international agriculture
rows include emissions from changes in
agricultural production (e.g., fertilizer
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and energy use, rice methane) and
livestock production. The fuel
production row includes emissions from
the fuel production or refining facility,
primarily from energy consumption. For
renewable fuels, tailpipe emissions only
include non-CO2 gases, because the
carbon emitted as a result of fuel
combustion is offset by the uptake of
biogenic carbon during feedstock
production. Note, that while the table
separates the emissions into different
categories, the results are based on
integrated modeling; therefore, one
component can not be removed without
impacting the other results. For
example, domestic land use and
agricultural sector emissions depend on
the international assumptions. If a case
without international impacts were
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14787
modeled, the domestic results would
likely be significantly different.
The table includes our mean estimate
of international land use change
emissions as well as the 95%
confidence range from our uncertainty
assessment, which accounts for
uncertainty in the types of land use
changes and the magnitude of resulting
GHG emissions. The last row includes
mean, low and high total lifecycle GHG
emissions based on the 95% confidence
range for land use change emissions. For
the petroleum baseline, the fuel
production stage includes emissions
from extraction, transport, refining and
distribution of petroleum transportation
fuel. Petroleum tailpipe emissions
include CO2 and non-CO2 gases emitted
from fuel combustion.
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TABLE V.C–1—LIFECYCLE GHG EMISSIONS FOR CORN ETHANOL, 2022
[kg CO2e/mmBTU]
2005 Gasoline baseline
Fuel type
Ethanol
Fuel Production Technology ...........................................................................................
Net Domestic Agriculture (w/o land use change) ...........................................................
Net International Agriculture (w/o land use change) ......................................................
Domestic Land Use Change ...........................................................................................
International Land Use Change, Mean (Low/High) ........................................................
Fuel Production ...............................................................................................................
Fuel and Feedstock Transport ........................................................................................
Tailpipe Emissions ..........................................................................................................
Natural Gas Fired Dry Mill .........................
4 .................................................................
12 ...............................................................
¥2 ..............................................................
32 (21/46) ...................................................
28 ...............................................................
4 .................................................................
1 .................................................................
79
Total Emissions, Mean (Low/High) .................................................................................
79 (54/97) ...................................................
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While we are projecting technology
enhancements which would allow corn
ethanol plants to exceed the threshold,
plant designs which do not include
such advanced technology would not
comply. For example, a basic plant
which is not equipped with
combinations of advanced technologies
such as corn oil fractionation or dries
more than 50% of its DGS is predicted
to not comply. While we do not expect
such a basic, low technology plant to be
built nor existing plants to expand their
production without also installing such
advanced technology, if this were to
occur, ethanol produced at such
facilities would not comply with the
20% threshold.
Biodiesel from soybean oil: We
analyzed the lifecycle GHG emission
impacts of producing biodiesel using
soy oil as a feedstock for compliance
with a lifecycle GHG performance
threshold of 50%. The modeling
framework for this analysis was much
the same as used for the proposal.
However, as noted above, based on
comments, updated information and
enhanced models, the results are
significantly updated.
As in the case of ethanol produced
from corn starch, EPA has relied on a
weight of evidence in developing its
threshold assessment for biodiesel
produced from soybean oil. In analyzing
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the base yield case, the midpoint and
therefore the majority of the scenarios
analyzed exceed the threshold. This
indicates that based on currently
available information and our current
analysis over the range of scenarios
considered, the actual performance of
soy oil-based biodiesel likely exceeds
the applicable 50% threshold.
The scenarios analyzed also indicate,
based on current data, we are at least
95% confident biodiesel produced from
soy oil will have GHG impacts which
are better than the 2005 baseline diesel
fuel. From a GHG impact perspective,
we therefore conclude that even in the
less likely event the actual performance
of biodiesel from soy oil does not
exceed the 50% threshold, GHG
emission performance of transportation
fuel would still improve if this biodiesel
replaced diesel fuel.
We are further confident that
biodiesel exceeds the 50% threshold
since our assessment of biodiesel GHG
performance does not include any
prediction of significant improvements
in plant technology or unanticipated
energy saving improvements that would
further improve GHG performance.
Additionally, our assumption that the
co-product of glycerin would only have
GHG value as replacement for residual
heating oil could be conservative. While
we have not analyzed the range of
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19
potential uses of glycerin, potential uses
of glycerin including as a feedstock to
the chemical industry could be higher
in GHG benefit than its assumed use as
a heating fuel.
Considering all of the above current
information and analyses, EPA
concludes that biodiesel made from soy
oil will exceed its lifecycle GHG
threshold. Further, we see no benefit in
lowering the threshold to as low as 40%
as allowed under EISA as this will
neither benefit available supply nor
GHG performance of the fuel. Therefore,
the threshold for this rule will be
maintained at 50%.
Figure V.C–2 shows the percent
change in the typical 2022 soybean
biodiesel lifecycle GHG emissions
compared to the petroleum diesel fuel
2005 baseline. Lifecycle GHG emissions
equivalent to the diesel fuel baseline are
represented on the graph by the zero on
the X-axis. The 50% reduction
threshold is represented by the dashed
line at ¥50 on the graph. The results for
soybean biodiesel are that the midpoint
of the range of results is a 57%
reduction in GHG emissions compared
to the diesel fuel baseline. The 95%
confidence interval around that
midpoint results in range of a 22%
reduction to an 85% reduction
compared to the diesel fuel 2005
baseline.
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Biodiesel from waste oils, fats and
greases: The lifecycle assessment of
GHG performance for biodiesel
produced from waste oils, fats and
greases is much simpler than
comparable assessments for biofuels
made from crops. In the case of
biodiesel made from waste material,
there is no land use impact so the
agricultural assessments required for
crop-based biofuels are unnecessary.
Without the uncertainty concerns due to
land use impacts, there was no need to
conduct an uncertainty analysis for
biodiesel from waste oils, fats and
greases. The assessment methodology
for biofuel from waste oils fats and
greases is much the same as that
analyzed for the proposal. As was the
case for the proposal, the assessment of
each element in the lifecycle process is
straight forward and includes collecting
and transporting the feedstock,
transforming it into a biofuel and
distributing and using the fuel. Based on
the lifecycle assessment for this final
rule, we are estimating biofuel from
waste oils, fats and greases result in an
86% reduction in GHG emissions
compared to the 2005 baseline for
petroleum diesel. As was the case for
the assessment included in the
proposal, biofuel from these feedstock
sources easily exceeds the applicable
threshold of 50%.
Table V.C–2 below breaks down by
stage the lifecycle GHG emissions for
soy-based biodiesel, biodiesel from
waste grease feedstocks and the 2005
diesel baseline. The average 2022
biodiesel production process reflected
in this table assumes that natural gas is
used for process energy and accounts for
co-product glycerin displacing residual
oil. This table demonstrates the
contribution of each stage and their
relative significance.
TABLE V.C–2—LIFECYCLE GHG EMISSIONS FOR BIODIESEL, 2022
Soy-based
biodiesel
Fuel type
Net Domestic Agriculture (w/o land use change) ........................................................................
Net International Agriculture (w/o land use change) ...................................................................
Domestic Land Use Change .......................................................................................................
International Land Use Change, ..................................................................................................
Mean (Low/High) .........................................................................................................................
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Waste grease
biodiesel
¥10
1
¥9
0
0
0
43 (15/76)
0
2005 Diesel
baseline
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[kg CO2e/mmBTU]
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TABLE V.C–2—LIFECYCLE GHG EMISSIONS FOR BIODIESEL, 2022—Continued
[kg CO2e/mmBTU]
Soy-based
biodiesel
Fuel type
Waste grease
biodiesel
2005 Diesel
baseline
Fuel Production ............................................................................................................................
Fuel and Feedstock Transport ....................................................................................................
Tailpipe Emissions .......................................................................................................................
13
3
1
10
3
1
18
Total Emissions, Mean ................................................................................................................
(Low/High) ....................................................................................................................................
42 (14/76)
14
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Biodiesel from algae oil: We analyzed
the lifecycle GHG emission impacts of
producing biodiesel from algae oil as a
feedstock for compliance with a
lifecycle performance threshold of 50%.
Our analyses were based on
technoeconomic modeling completed by
NREL, as previously discussed. The
NREL modeling included algae
cultivation, harvesting, extraction, and
recovery of algae oil. Algae oil is further
assumed to use the same oil to biodiesel
production technology as soy oil, which
was updated based on enhanced
models. As algae are expected to be
grown on relatively small amounts of
non-arable lands, it is expected that the
land use impact will be negligible.
Based on our current lifecycle
assessment of algae oil for the final rule,
we are determining that biodiesel from
algae oil will comply with the lifecycle
performance advanced biofuel threshold
of 50%.
Ethanol from sugarcane: As is the
case for other crop-based biofuels, EPA
considered the weight of evidence
currently available information in
assessing the lifecycle GHG performance
of this fuel. As noted in Section I.A.3,
this lifecycle GHG assessment includes
significant updates from the analysis
performed for the proposal. We have
added pathways for sugarcane ethanol
such that we now distinguish sugarcane
ethanol produced assuming most crop
residue (leaves and stalks) are collected
and therefore available for burning as
process energy, or sugarcane produced
without the extra crop residue being
collected nor burned as process energy.
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We also analyzed pathways assuming
the ethanol is distilled in Brazil or
alternatively being distilled in the
Caribbean. We did not analyze a ‘‘high
yield’’ case for sugarcane as we did for
corn and soy since we had no
information available suggesting there
could be an appreciable range in
expected sugarcane yields.
Based on the currently available
information, the midpoint and thus the
majority of the scenarios analyzed
exceed the 50% threshold applicable to
advanced biofuels. This indicates that
based on currently available information
and our current analysis, it is more than
50% likely that the actual performance
of ethanol produced from sugarcane
exceeds the applicable 50% threshold.
The analyses also indicate, based on
current data, ethanol produced from
sugarcane will clearly have GHG
impacts which are better than the 2005
baseline gasoline. From a GHG impact
perspective, we therefore conclude that
even in the less likely event the actual
performance of sugarcane does not
exceed the 50% threshold, GHG
emission performance of ethanol from
sugarcane would be better than gasoline.
We also considered what would
happen if we determine that ethanol
from sugarcane does not comply with a
50% threshold due to the relatively low
risk that this biofuel will actually be
below that threshold. Based on our
current analysis of available pathways
for producing advanced biofuel, we
believe that it will be necessary to
include over 2 billion gallons of
sugarcane ethanol in order to meet the
advanced biofuel volumes anticipated
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79
by EISA. If sugarcane ethanol was not
an eligible source of advanced biofuel
and other unanticipated sources did not
become available, the standard for
advanced biofuel would have to be
lower to the extent necessary to
compensate for the lack of eligible
sugarcane ethanol. The lower amount of
advanced biofuel would then most
likely be replaced with petroleum-based
gasoline. The replacement fuel would
have a worse GHG performance than the
sugarcane ethanol. Therefore, GHG
performance of the transportation fuel
pool would suffer.
Considering the above, EPA has
concluded that, based on currently
available information and our analysis,
ethanol from sugarcane qualifies as an
advanced biofuel.
Figure V.C–3 shows the percent
change in the average 2022 sugarcane
ethanol lifecycle GHG emissions
compared to the petroleum gasoline
2005 baseline. These results assume the
ethanol is produced and dehydrated in
Brazil prior to being imported into the
U.S. Lifecycle GHG emissions
equivalent to the gasoline baseline are
represented on the graph by the zero on
the X-axis. The 50% reduction
threshold is represented by the dashed
line at ¥50 on the graph. The results for
this sugarcane ethanol scenario are that
the midpoint of the range of results is
a 61% reduction in GHG emissions
compared to the gasoline baseline. The
95% confidence interval around that
midpoint results in a range of a 52% to
71% reduction compared to the gasoline
2005 baseline.
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Table V.C–3 below presents results for
sugarcane ethanol production and use
by lifecycle stage. This table
demonstrates the contribution of each
stage and their relative significance. The
fuel production emissions include
displacement of marginal Brazilian
electricity because electricity is
generated with the sugarcane bagasse
co-product. As in similar previous
14791
tables, domestic emissions include all
emissions sources in the United States,
with all other emissions—including
emissions from Brazil—presented in the
international categories.
TABLE V.C–3—LIFECYCLE GHG EMISSIONS FOR SUGARCANE ETHANOL, 2022
[kg CO2e/mmBTU]
Sugarcane
ethanol
Fuel type
2005 Gasoline
baseline
0
38
1
4(¥5/12)
¥11
5
1
0
0
0
0
19
0
79
Total Emissions, Mean (Low/High) ................................................................................................................
38 (29/46)
98
Cellulosic Biofuels: In the proposal,
we analyzed biochemical cellulosic
ethanol pathways from both switchgrass
and corn stover, and on that basis
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proposed that such cellulosic biofuels
met the required 60% lifecycle
threshold by a considerable margin. As
described in Section V.B, we have
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considerably updated our lifecycle
analysis, and have analyzed additional
cellulosic biofuel pathways (i.e.,
thermochemical cellulosic ethanol and a
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Net Domestic Agriculture (w/o land use change) ..................................................................................................
Net International Agriculture (w/o land use change) .............................................................................................
Domestic Land Use Change .................................................................................................................................
International Land Use Change, Mean (Low/High) ...............................................................................................
Fuel Production ......................................................................................................................................................
Fuel and Feedstock Transport ..............................................................................................................................
Tailpipe Emissions .................................................................................................................................................
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BTL diesel pathway). We analyzed the
GHG impacts of each element of the
lifecycle for producing and using
biofuels from cellulosic biomass, and as
for other fuel pathways, considered the
range of possible outcomes.
Figure V.C–4 shows the percent
change in the average lifecycle GHG
emissions in 2022 for ethanol produced
from switchgrass using the biochemical
process compared to the petroleum
gasoline 2005 baseline. Lifecycle GHG
emissions equivalent to the gasoline
baseline are represented on the graph by
the zero on the X-axis. The 60%
reduction threshold is represented by
the dashed line at ¥60 on the graph.
The results for this switchgrass ethanol
scenario are that the midpoint of the
range of results is a 110% reduction in
GHG emissions compared to the
gasoline baseline. The 95% confidence
interval around that midpoint ranges
from 102% reduction to a 117%
reduction compared to the gasoline
baseline.
Table V.C–4 below shows lifecycle
GHG emissions for cellulosic ethanol
produced from switchgrass (as depicted
in Figure V.C–4, above) and also corn
residue by lifecycle stage, comparing
these to the 2005 baseline gasoline. This
table is included to demonstrate the
contribution of each stage and their
relative significance. Results are
presented for the biochemical
production technology depicted in
Figure V.C–4 above and also for
thermochemical production
technologies. The fuel production
emissions for the biochemical pathway
include credit for excess electricity
generation at the fuel production
facility.
[kg CO2e/mmBTU]
Fuel type
Switchgrass ethanol
Fuel production technology
Bio-chemical
Net Domestic Agriculture (w/o land use
change) ..............................................
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Thermo-chemical
6
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Bio-chemical
Thermo-chemical
11
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TABLE V.C–4—LIFECYCLE GHG EMISSIONS FOR CELLULOSIC ETHANOL, 2022
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TABLE V.C–4—LIFECYCLE GHG EMISSIONS FOR CELLULOSIC ETHANOL, 2022—Continued
[kg CO2e/mmBTU]
Fuel type
Switchgrass ethanol
Fuel production technology
Bio-chemical
Net International Agriculture (w/o land
use change) .......................................
Domestic Land Use Change ..................
International Land Use Change, Mean
(Low/High) ..........................................
Fuel Production ......................................
Fuel and Feedstock Transport ...............
Tailpipe Emissions .................................
Corn residue
Thermo-chemical
Bio-chemical
2005 Gasoline
baseline
Thermo-chemical
0
¥2
0
¥11
0
¥11
0
0
15 (9/23)
¥33
3
1
16 1(9/24)
4
3
1
0
¥33
2
1
0
4
2
1
0
19
0
79
¥10 (¥17/¥2)
Total Emissions, Mean (Low/High)
0
¥3
27 (20/35)
¥29
7
98
Table V.C–5 below presents lifecycle
GHG emissions for cellulosic diesel
produced with a Fischer-Tropsch
process by lifecycle stage.
TABLE V.C–5—LIFECYCLE GHG EMISSIONS FOR CELLULOSIC DIESEL, 2022
[kg CO2e/mmBTU]
Fuel type
Switchgrass diesel
Corn residue diesel
Fuel production technology
F–T diesel
F–T diesel
2005 Diesel baseline
6
0
¥3
16 (9/24)
5
3
1
11
0
¥11
0
5
2
1
0
0
0
0
18
0
79
Total Emissions, Mean (Low/High) ............................................................
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Net Domestic Agriculture (w/o land use change) ..............................................
Net International Agriculture (w/o land use change) .........................................
Domestic Land Use Change .............................................................................
International Land Use Change, Mean (Low/High) ...........................................
Fuel Production ..................................................................................................
Fuel and Feedstock Transport ..........................................................................
Tailpipe Emissions .............................................................................................
29 (22/37)
9
97
Based on the currently available
information, we conclude that all
modeled cellulosic biofuel pathways are
expected to exceed the 60% threshold
applicable to cellulosic biofuels.
Assessments of similar feedstock
sources: In the proposal, we indicated
that although we did not specifically
analyze all potential feedstock sources,
some feedstock sources are similar
enough to those modeled that we
believe the modeled results could be
extended to these similar feedstock
types. Comments received supported
this approach and the specific
recommendations for similar feedstock
designations as proposed.
For this final rule, consistent with
what was proposed, we are relying on
modeling results and only expanding to
additional pathways where we have
good information these additional
pathways will have lifecycle GHG
results which either will not impact our
overall assessment of the performance of
that fuel pathway or would have at least
as good as the modeled pathways. The
agricultural sector modeling used for
our lifecycle analysis does not predict
any soybean biodiesel or corn ethanol
will be imported into the U.S., or any
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imported sugarcane ethanol from
production in countries other than
Brazil. However, these rules do not
prohibit the use in the U.S. of these
fuels produced in countries not
modeled if they are also expected to
comply with the eligibility requirements
including meeting the thresholds for
GHG performance. Although the GHG
emissions of producing these fuels from
feedstock grown or biofuel produced in
other countries has not been specifically
modeled, we do not anticipate their use
would impact our conclusions regarding
these feedstock pathways. The
emissions of producing these fuels in
other countries could be slightly higher
or lower than what was modeled
depending on a number of factors. Our
analyses indicate that crop yields for the
crops in other countries where these
fuels are also most likely to be produced
are similar or lower than U.S. values
indicating the same or slightly higher
GHG impacts. Agricultural sector inputs
for the crops in these other countries are
roughly the same or lower than the U.S.
pointing toward the same or slightly
lower GHG impacts. If crop production
were to expand due to biofuels in the
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countries where the models predict
these biofuels might additionally be
produced, this would tend to lower our
assessment of international indirect
impacts but could increase our
assessment of the domestic (i.e., the
country of origin) land use impacts. EPA
believes, because of these offsetting
factors along with the small amounts of
fuel potentially coming from other
countries, that incorporating fuels
produced in other countries will not
impact our threshold analysis.
Therefore, fuels of the same fuel type,
produced from the same feedstock using
the same fuel production technology as
modeled fuel pathways will be assessed
the same GHG performance decisions
regardless of country of origin.
We are also able to conclude that
some feedstock types not specifically
modeled should be covered as we have
good reason to believe their
performance would be better than the
feedstock pathways modeled. Thus for
example, we can conclude that, as in the
case of corn stover which we have
modeled as a feedstock source,
cellulosic biofuel produced from other
agricultural waste will also have no land
use impact and would be expected to
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have lifecycle GHG emission impacts
similar enough to the modeled corn
stover feedstock pathway such that they
would also comply. Similarly, we have
information on miscanthus indicating
that this perennial will yield more
feedstock per acre than the modeled
switchgrass feedstock without
additional GHG inputs such as fertilizer.
Therefore we are concluding that since
cellulosic biofuel from switchgrass
complies with the cellulosic threshold
of 60% reduction, fuel produced using
miscanthus and other perennial grasses
will also surely comply.
We are also determined that biofuel
from separated yard and food wastes
(which may contain incidental and postrecycled paper and wood wastes) satisfy
biofuel thresholds. Separated food waste
is largely starch-based and thus qualifies
for the advanced biofuel standard of
50% reduction. If the biofuel producer
can demonstrate that it is able to
quantify the cellulosic portion of food
wastes, fuel made from the cellulosic
portion can qualify as cellulosic biofuel.
Since we have determined that yard
wastes are largely cellulosic, biofuel
from yard waste will qualify as
cellulosic biofuel. The use of separated
yard and food wastes for biofuel
production including the requirements
for demonstrating what portion of food
waste is cellulosic feedstock is
discussed further in Section II.B.4.d.
EPA believes that renewable fuel
produced from feedstocks consisting of
wastes that would normally be
discarded or put to a secondary use, and
which have not been intentionally
rendered unfit for productive use,
should be assumed to have little or no
land use emissions of GHGs. The use of
wastes that would normally be
discarded does not increase the demand
for land. For example, the use in biofuel
production of food waste from a food
processing facility that would normally
be placed in a landfill will not increase
the demand for land to grow the crops
that were purchased by the food
processing facility. Similarly, wastes
that would not normally be discarded
because there are alternative secondary
uses for them (for example
contaminated vegetable oil might be
burned in a boiler) are not produced for
the purpose of such secondary use and
the use of these feedstocks also does not
increase demand for land. Since these
waste-derived feedstocks have little or
no land use impact, the lifecycle GHG
emissions associated with their use for
biofuel production are largely the result
of the energy required to collect and
process the feedstock prior to
conversion, and the energy required to
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convert that feedstock into a biofuel.
This has led us to conclude it is
reasonable to include a restricted set of
additional feedstocks in pathways
complying with the applicable
threshold.
The look-up table identifies a number
of individual fuel ‘‘pathways’’ that allow
for the use of waste feedstocks. These
feedstocks include (1) waste ethanol
from beverage production, (2) waste
starches from food production and
agricultural residues, (3) waste oils/fats/
greases, (4) waste sugar from food and
beverage production, and (5) food and
beverage production wastes. For the
purpose of this rule only, EPA will
consider these feedstocks to be ‘‘wastes’’
if they are used as feedstock to produce
fuel, but would otherwise normally be
discarded or used for another secondary
purpose because they are no longer
suitable for their original intended use.
They may be unsuitable for their
original intended use either because
they are themselves waste from that
original use (e.g., table scraps) or
because of contamination, spoilage or
other unintentional acts. EPA will not
consider any material that has been
intentionally rendered unsuitable for its
original use to be a ‘‘waste.’’
As discussed in more detail in Section
II.B.4.d, EPA has also determined that
the biogenic portion of post recycled
MSW is eligible to produce renewable
fuel and will largely be made up of
cellulosic material. Therefore biofuel
made from this waste-derived material
will qualify as cellulosic biofuel.
EPA has also considered biofuels
produced from annual cover crops such
as cover crops grown in the winter.
These annual cover crops are normally
planted as a rotation between primary
planted crops or between trees and
vines in orchards and vineyards,
typically to protect soil from erosion,
improve the soil between periods of
regular crops, or for other conservation
purposes. For annual cover crops grown
on the same land as the primary crops,
we have determined that there is little
or no land use impact such that the
GHG emissions associated with them
would largely result due to inputs
required to grow the crop, harvesting
and transporting to the biofuel
production facility, turning that
feedstock into a biofuel and transporting
it to its end use. As such, the biofuel
from cellulosic biomass from annual
cover crops are, for example,
determined to meet requirements of
cellulosic biofuel, oil from annual cover
crops are determined to meet the
requirements of renewable diesel and
starches from annual cover crops are
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determined to meet the requirements of
advanced biofuel.
While we have not been able to model
all possible feedstocks that can and are
being used for renewable fuel
production, there are a variety of
feedstocks that should have similar
enough characteristics to those already
modeled to allow them to be grouped in
with already modeled fuel pathways. In
particular, as discussed below, there are
five categories of biofuel feedstock
sources for which we are confident, by
virtue of their lack of any land-use
change impact, in qualifying them for
particular renewable fuel standards (Dcodes) on the basis of our existing
modeling.
1. All crop residues which provide
starch or cellulosic feedstock. By virtue
of the fact that they do not cause any
land-use change impacts, they should
all have similar lifecycle GHG impacts.
Thus, modeling conducted for corn
stover is being extended to other crop
residues such as wheat straw, rice straw,
and citrus residue. These residues are
what remains after a primary crop is
harvested, and can be similarly
collected, transported and used in
biofuel production.
2. Slash, forest thinnings, and forest
residue providing cellulosic feedstock.
As excess material, these represent
another form of residue which should
also result in no land-use change GHG
impacts. Their GHG emission impacts
would only be associated with
collection, transport, and processing
into biofuel. Consequently, modeling
conducted for corn stover is also being
extended to these residues.
3. Annual cover crops planted on
existing crop land such as winter cover
crops and providing cellulosic material,
starch or oil for biofuel production.
While different from crop residues,
these secondary crops also have no land
use impact since they are planted on
land otherwise used for primary crop
production. GHG emissions would only
be associated with growing, harvesting
and transporting the secondary crop and
then processing into biofuel. In the case
of secondary crops that might be used
for cellulosic biofuel production, they
would also have no land-use change
impact, and consequently modeling
conducted for corn stover is also being
extended to these crops. In the case of
secondary crops used for oil production,
they would then have no land-use
change similar to waste fats, oils and
greases. Consequently, modeling
conducted for biodiesel and renewable
diesel from these waste oils is also being
extended to these annual cover crops.
4. Separated food and yard wastes,
including food and beverage wastes
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from food production and processing
are another category of waste product
that would not have any land-use
change impact. These waste products
can be used as feedstock for advanced
biofuel production or cellulosic biofuel
production. Waste oils have already
been modeled as complying with the
biomass-based diesel standard.
Applying our sugarcane results without
the land-use change component to waste
sugars clearly demonstrates compliance
with the advanced biofuel threshold.
Applying our corn results without the
land-use component to waste starches
clearly demonstrates compliance with
the renewable fuel standard
5. Perennial grasses including
switchgrass and miscanthus. We
modeled switchgrass and miscanthus
has higher yield per acre without any
significant (or perhaps less) inputs such
as fertilizer per acre. We believe other
perennial grasses likely to compete as
feedstock sources will have similar land
use and agricultural inputs are therefore
confident the results from switchgrass
can be extended to miscanthus and
other perennial grasses. However, we
note that the energy crop industry is just
starting to develop and therefore as
favored perennial grasses start to
emerge, additional analyses may be
warranted.
Applicable D-Codes for Fuel
Pathways: Based on the above, corn
ethanol facilities using natural gas or
biomass as the process energy source
will meet the applicable 20% GHG
performance threshold if it either also
uses at least two of the technologies
Table V.C–6 or one of the technologies
in Table V.C–6 but marketing at least
35% of its DGS as wet. Alternatively, a
14795
facility using none of the advanced
technologies listed in Table V.C–6 will
qualify as producing ethanol meeting
the 20% performance threshold if it
sells at least 50% of its DGS prior to
drying.
TABLE V.C–6—MODELED ADVANCED
TECHNOLOGIES
Corn oil fractionation
Corn oil extraction
Membrane separation
Raw starch hydrolysis
Combined heat and power
Following the criteria for D-Codes
defined in Section II.A–1, the following
renewable fuel pathways have been
found to comply with the applicable
lifecycle GHG thresholds and are
therefore eligible for the D-Codes
specified in Table V.C–7.
TABLE V.C–7—D-CODE DESIGNATIONS
Fuel type
Feedstock
Production process
requirements
Ethanol ..................................................
Corn starch ..........................................
Ethanol ..................................................
Corn starch ..........................................
Ethanol ..................................................
Corn starch ..........................................
Ethanol ..................................................
Corn starch ..........................................
Ethanol ..................................................
Starches from agricultural residues;
starches from annual cover crops.
Soy bean oil;
All of the following:
Drymill process, using natural gas,
biomass or biogas for process energy and at least two advanced
technologies from Table V.C–6).
All of the following:
Dry mill process, using natural gas,
biomass or biogas for process energy and one of the advanced technologies from Table V.C–6 plus drying no more than 65% of the DGS it
markets annually.
All of the following:
Dry mill process, using natural gas,
biomass or biogas for process energy and drying no more than 50%
of the DGS it markets annually.
Wet mill process using biomass or
biogas for process energy.
Fermentation using natural gas, biomass or biogas for process energy.
One of the following:
Biodiesel, and renewable diesel ...........
Oil from annual cover crops ................
Algal oil ................................................
Biogenic waste oils/fats/greases;
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Biodiesel, and renewable diesel ...........
Ethanol ..................................................
Ethanol ..................................................
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Non-food grade corn oil.
Soy bean oil;
Oil from annual cover crops ................
Algal oil ................................................
Biogenic waste oils/fats/greases;
Non-food grade corn oil.
Sugarcane ............................................
Cellulosic Biomass from agricultural
residues, slash, forest thinnings, forest product residues, annual cover
crops, switchgrass and miscanthus;
cellulosic components of separated
yard wastes; cellulosic components
of separated food wastes; and cellulosic components of separated
MSW.
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D-Code
6 (renewable fuel)
6 (renewable fuel)
6 (renewable fuel)
6 (renewable fuel)
6 (renewable fuel)
4 (biomass-based
diesel)
Trans-Esterification.
Hydrotreating.
Excluding processes that coprocess
renewable biomass and petroleum.
One of the following:
Trans-Esterification.
Hydrotreating.
Includes only processes that coprocess renewable biomass and petroleum.
5 (Advanced)
Fermentation (Any) ..............................
Any .......................................................
5 (Advanced)
3 (Cellulosic Biofuel)
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
TABLE V.C–7—D-CODE DESIGNATIONS—Continued
Fuel type
Feedstock
Production process
requirements
D-Code
Cellulosic Diesel, Jet Fuel and Heating
Oil.
Cellulosic Biomass from agricultural
residues, slash, forest thinnings, forest product residues, annual cover
crops, switchgrass and miscanthus;
cellulosic components of separated
yard wastes, cellulosic components
of separated food wastes, and cellulosic components of separated
MSW.
Corn starch ..........................................
Any .......................................................
7 (Cellulosic Biofuel
or Biomass-Based
Diesel)
Fermentation; dry mill using natural
gas, biomass or biogas for process
energy.
Fischer-Tropsch process .....................
6 (renewable fuel)
Any .......................................................
5 (Advanced)
Any .......................................................
5 (Advanced)
Butanol ..................................................
Cellulosic Naphtha ................................
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Ethanol, renewable diesel, jet fuel,
heating oil, and naphtha.
Biogas ...................................................
Cellulosic Biomass from agricultural
residues, slash, forest thinnings, forest product residues, annual cover
crops, switchgrass and miscanthus;
cellulosic components of separated
yard wastes, cellulosic components
of separated food wastes, and cellulosic components of separated
MSW.
The non-cellulosic portions of separated food wastes.
Landfills, sewage and waste treatment
plants, manure digesters.
Pathways for which we have not made
a threshold compliance decision: The
pathways identified in the Table V.C–6
represent those pathways we have
analyzed and determined meet the
applicable thresholds as establish by
EISA. We did not analyze all pathways
that might be feasible through 2022. In
some cases, we did not have sufficient
time to complete the necessary lifecycle
GHG impact assessment for this final
rule. In addition to the pathways
identified in Table V.C–6, EPA
anticipates modeling grain sorghum
ethanol, woody pulp ethanol, and palm
oil biodiesel after this final rule and
including the determinations in a
rulemaking within 6 months. Based on
current and projected commercial
trends and the status of current analysis
at EPA, biofuels from these three
pathways are either currently being
produced or are planned production in
the near-term. Our analyses project that
they will be used in meeting the RFS2
volume standard in the near-term.
During the course of the NPRM
comment period, EPA received detailed
information on these pathways and is
currently in the process of analyzing
these pathways. We have received
comments on several additional
feedstock/fuel pathways, including
rapeseed/canola, camelina, sweet
sorghum, wheat, and mustard seed, and
we welcome parties to utilize the
petition process described below to
request EPA to examine additional
pathways.
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In other cases, we have not modeled
the lifecycle GHG performance of
pathways because we did not have
sufficient information. For those fuel
pathways that are different than those
pathways EPA has listed in today’s
regulations, EPA is establishing a
petition process whereby a party can
petition the Agency to consider new
pathways for GHG reduction threshold
compliance. The petition process is
meant for parties with serious intention
to moved forward with production via
the petitioned fuel pathway and who
have moved sufficiently forward in the
business process to show feasibility of
the fuel pathway’s implementation. The
Agency will not consider frivolous
petitions with insufficient information
and clarity for Agency analysis. In
addition, if the petition addresses a fuel
pathway that already complies for one
or more types of renewable fuels under
RFS (e.g., renewable fuel or advanced
biofuel), the pathway must have the
potential to result in the pathway
qualifying for a new renewable fuel
category for which it was not previously
qualified. Thus, for example, the
Agency will not undertake any
additional review for a party wishing to
get a modified LCA value for a
previously approved fuel pathway if the
desired new value would not change the
overall pathway classification. EPA will
process these petitions as expeditiously
as possible, taking into consideration
that some fuel pathways are closer to
the commercial production stage than
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3 (Cellulosic Biofuel)
others. In all events, parties are
expected to begin this process with
ample lead time as compared to their
commercial start dates.
In addition to the technical
information described below and listed
in today’s regulations (see § 80.1416), a
petition must include all information
required in the registration process
except the engineering review. The
petition should demonstrate technical
and commercial feasibility. For
example, a petition could include
copies of applications for air or
construction permits, copies of blue
prints of the facility, or photographs of
the facility or pilot plant. The petition
must include information necessary to
allow EPA to effectively determine the
lifecycle green house gas emissions of
the fuel. The petitioner must describe
the alternative production facility
technology applied and supply data
establishing the energy savings that will
result from the use of the alternative
technology. The information required
would include, at a minimum, a mass
and energy balance for the proposed
fuel production process. This would
include for example, mass inputs of raw
material feedstocks and consumables,
mass outputs of fuel product produced
as well as co-products and waste
materials production. Energy inputs
information should include fuels used
by type, including purchased electricity.
If steam or hot water is purchased, the
source and fuel required for its
generation would also be reported.
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Energy output information should
include energy content of the fuel
product produced (with heating value
specified) as well as energy content of
any co-products. The petitioner should
also report the extent to which excess
electricity is generated and distributed
outside the production facility.
Information on co-products should
include the expected use of the coproducts and their market value. All
information should be provided in a
format such that it can be normalized on
a fuel output basis (for example, tons
feedstock per gallon of fuel produced).
Other process descriptions necessary to
understand the fuel production process
should be included (e.g., process
modeling flowcharts). Any other
relevant information, including that
pertaining to energy saving technologies
or other process improvements that
document significant differences
between the fuel production processes
outlined in this rule and that used by
the renewable fuel producer, should
also be submitted with the petition.
For fuel pathways that utilize
feedstocks that have not yet been
modeled for this rulemaking, the
petition must also submit information
on the feedstock. Information would
include, at a minimum, the feedstock
type and feedstock production source
and data on the market value of the
feedstock and current uses of the
feedstock, if any. The petition should
also include chemical input
requirements (e.g., fertilizer, pesticides,
etc.) and energy use in feedstock
production listed by type of energy.
Yield information would also be
required for both the current yields of
the feedstock as well as anticipated
changes in feedstock yields over time.
EPA will use the data supplied in the
petition and other data and information
available to the Agency to technically
evaluate whether the information is
sufficient for EPA to make a
determination of the RFS standards for
which the fuel pathway may qualify. If
EPA determines that the petition is
insufficient for determination, the
petitioner will be so notified. If EPA
determines it has been provided
sufficient data from the petitioner to
evaluate the fuel pathway, we will then
proceed with any analyses required to
make a technical determination of
compliance.
EPA anticipates that for some
petitioned fuel pathways with unique
modifications or enhancements to
production technologies of pathways
otherwise modeled for the regulations
listed today, EPA may be able to
evaluate the pathway as a reasonably
straight-forward extension of our
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current assessments. We expect such a
determination would be pathway
specific, and would be based on a
technical analysis that compared the
applicant fuel pathway to the fuel to
pathway(s) that had already been
analyzed. In these cases, EPA would be
able to make a determination without
proceeding through a full rulemaking
process. For example, petitions may
submit unique biofuel production
facility configurations, operations, or coproduct pathways that could result in
greater efficiencies than the pathways
modeled for this rulemaking, but
otherwise do not differ greatly from the
modeled fuel pathways. In such cases,
we would expect to make a decision for
that specific pathway without
conducting a full rulemaking process.
We would expect to evaluate whether
the pathway is consistent with the
definitions of renewable fuel types in
the regulations, generally without going
through rulemaking, and issue an
approval or disapproval that applies to
the petitioner. We anticipate that we
will subsequently propose to add the
pathway to the regulations.
If EPA determines that a petitioned
fuel pathway requires significant new
analysis and/or modeling, EPA will
need to give notice and seek public
comment. For example, we anticipate
that pathways with feedstocks or fuel
types not yet modeled by EPA will
require additional modeling and public
comment before a determination of
compliance can be made. In these cases,
the determination would be
incorporated into the annual rulemaking
process established in today’s
regulations.
When EPA makes a technical
determination is made that a petitioned
fuel pathway qualifies for a RFS volume
standard, a D-code will be assigned to
the fuel pathway. We anticipate that
renewable fuel producers and importers
will be able to generate RINs for the
additional pathway after the next
available update of the EPA Moderated
Transaction System (EMTS) that follows
a determination. EPA expects to update
the EMTS quarterly, as long as
necessary. Renewable fuel producers
will be able to register the fuel pathway
through the EPA Fuels Programs
Registration System two weeks after the
date of determination, but as described
above, will not be able to generate RINs
until the quarterly EMTS update.
In the proposal, we suggested a
system of temporary D-codes for biofuel
pathways we had not analyzed. This
was proposed as a means of assuring no
undue hardship for biofuel producers
using feedstock sources or processing
technologies not analyzed by EPA. As
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14797
proposed, these producers could market
their fuel on the basis of temporarily
assigned D-codes. While the objective
was sound, EPA now believes it is best
to properly assure compliance with
thresholds on the basis of completed
lifecycle GHG assessments. As noted
above, the Agency commits to expedited
assessment and rulemaking for those
pathways most likely to generate biofuel
in the immediate future, including
ethanol produced from grain sorghum,
ethanol, woody pulp ethanol, and palm
oil biodiesel. We also plan to continue
to model additional pathways we expect
will be commercially available in the
U.S. as soon as sufficient information is
available to complete a quality lifecycle
assessment. For these reasons, EPA is
not finalizing a provision for assigning
temporary D-codes.
D. Total GHG Reductions
Similar to the analysis done in our
proposal, our analysis of the overall
GHG emission impacts of increased
volumes of renewable fuel was
performed in parallel with the lifecycle
analysis performed to develop the
individual fuel thresholds described in
previous sections. The same sources of
emissions apply such that this analysis
includes the effects of three main areas:
(a) Emissions related to the production
of biofuels, including the growing of
feedstock (corn, soybeans, etc.) with
associated domestic and international
land use change impacts, transport of
feedstock to fuel production plants, fuel
production, and distribution of finished
fuel; (b) emissions related to the
extraction, production and distribution
of petroleum gasoline and diesel fuel
that is replaced by use of biofuels; and
(c) difference in tailpipe combustion of
the renewable and petroleum based
fuels.
The main difference between the
results of the proposal analysis and the
final rule analysis are higher domestic
land use change emissions in the final
rule analysis. As was the case in the
proposal, simply adding up the
individual lifecycle results determined
in Section V.C. multiplied by their
respective volumes would yield a
different assessment of the overall
impacts. The two analyses are separate
in that the overall impacts capture
interactions between the different fuels
that can not be broken out into per fuels
impacts, while the threshold values
represent impacts of specific fuels but
do not account for all the interactions.
While individual fuel analysis
generally had small domestic land use
change emission impacts, the overall
impacts had larger domestic land use
change emissions. The primary reason
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
for the difference in domestic land use
change between the individual fuel
scenarios and the combined fuel
scenarios is that when looking at
individual fuels there is some
interaction between different crops (e.g.,
corn replacing soybeans), but with
combined volume scenario when all
mandates need to be met there is less
opportunity for crop replacement (e.g.,
both corn and soybean acres needed)
and therefore more land is required.
As discussed in previous sections on
lifecycle GHG thresholds there is an
initial one time release from land
conversion and smaller ongoing
releases, but there are also ongoing
benefits of using renewable fuels over
time replacing petroleum fuel use.
Based on the volume scenario
considered, the one time land use
change impacts result in 313 million
metric tons of CO2-eq. emissions
increase. There are, however, based on
the biofuel use replacing petroleum
fuels, GHG reductions in each year.
Totaling the emissions impacts over 30
years but assuming a 0% discount rate
over this 30 year period would result in
an estimated total NPV reduction in
GHG emissions of 4.15 billion tons over
30 years.
This total NPV reduction can be
converted into annual average GHG
reductions, which can be used for the
calculations of the monetized GHG
benefits as shown in Section VIII.C.3.
This annualized value is based on
converting the lump sum present values
described above into their annualized
equivalents. A comparable value
assuming 30 years of GHG emissions
changes, but not applying a discount
rate to those emissions results in an
estimated annualized average emission
reduction of approximately 138 million
metrics tons of CO2-eq. emissions.
We also considered the uncertainty in
the international land use change
emission estimates for the overall
impacts. Based on the range of results
for the international land use change
emissions the overall annualized
average emission reductions of
increased volumes of renewable fuel
could range from ¥136 to ¥140 million
metrics tons of CO2-eq. emissions.
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E. Effects of GHG Emission Reductions
and Changes in Global Temperature
and Sea Level
The reductions in CO2 and other
GHGs associated with increased
volumes of renewable fuel will affect
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climate change projections. GHGs mix
well in the atmosphere and have long
atmospheric lifetimes, so changes in
GHG emissions will affect future climate
for decades to centuries. Two common
indicators of climate change are global
mean surface temperature and global
mean sea level rise. This section
estimates the response in global mean
surface temperature and global mean sea
level rise projections to the estimated
net global GHG emissions reductions
associated with increased volumes of
renewable fuel.
EPA estimated changes in projected
global mean surface temperatures to
2050 using the MiniCAM (Mini Climate
Assessment Model) integrated
assessment model 182 coupled with the
MAGICC (Model for the Assessment of
Greenhouse-Gas Induced Climate
Change) simple climate model.183
182 MiniCAM is a long-term, global integrated
assessment model of energy, economy, agriculture
and land use, that considers the sources of
emissions of a suite of greenhouse gases (GHGs),
emitted in 14 globally disaggregated global regions
(i.e., U.S., Western Europe, China), the fate of
emissions to the atmosphere, and the consequences
of changing concentrations of greenhouse related
gases for climate change. MiniCAM begins with a
representation of demographic and economic
developments in each region and combines these
with assumptions about technology development to
describe an internally consistent representation of
energy, agriculture, land-use, and economic
developments that in turn shape global emissions.
Brenkert A, S. Smith, S. Kim, and H. Pitcher, 2003:
Model Documentation for the MiniCAM. PNNL–
14337, Pacific Northwest National Laboratory,
Richland, Washington. For a recent report and
detailed description and discussion of MiniCAM,
see Clarke, L., J. Edmonds, H. Jacoby, H. Pitcher, J.
Reilly, R. Richels, 2007. Scenarios of Greenhouse
Gas Emissions and Atmospheric Concentrations.
Sub-report 2.1A of Synthesis and Assessment
Product 2.1 by the U.S. Climate Change Science
Program and the Subcommittee on Global Change
Research. Department of Energy, Office of
Biological & Environmental Research, Washington,
DC., USA, 154 pp.
183 MAGICC consists of a suite of coupled gascycle, climate and ice-melt models integrated into
a single framework. The framework allows the user
to determine changes in GHG concentrations,
global-mean surface air temperature and sea-level
resulting from anthropogenic emissions of carbon
dioxide (CO2), methane (CH4), nitrous oxide (N2O),
reactive gases (e.g., CO, NOX, VOCs), the
halocarbons (e.g. HCFCs, HFCs, PFCs) and sulfur
dioxide (SO2). MAGICC emulates the global-mean
temperature responses of more sophisticated
coupled Atmosphere/Ocean General Circulation
Models (AOGCMs) with high accuracy. Wigley,
T.M.L. and Raper, S.C.B. 1992. Implications for
Climate and Sea-Level of Revised IPCC Emissions
Scenarios Nature 357, 293–300. Raper, S.C.B.,
Wigley T.M.L. and Warrick R.A. 1996. In Sea-Level
Rise and Coastal Subsidence: Causes, Consequences
and Strategies J.D. Milliman, B.U. Haq, Eds., Kluwer
Academic Publishers, Dordrecht, The Netherlands,
pp. 11–45. Wigley, T.M.L. and Raper, S.C.B. 2002.
Reasons for larger warming projections in the IPCC
Third Assessment Report J. Climate 15, 2945–2952.
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MiniCAM was used to create the
globally and temporally consistent set of
climate relevant variables required for
running MAGICC. MAGICC was then
used to estimate the change in the global
mean surface temperature over time.
Given the magnitude of the estimated
emissions reductions associated with
the increased volumes of renewable
fuel, a simple climate model such as
MAGICC is reasonable for estimating the
climate response.
EPA applied the estimated annual
GHG emissions changes for the final
rule to a MiniCAM baseline emissions
scenario.184 Specifically, the CO2, N2O,
and CH4 annual emission changes from
2022–2052 from Section V.D were
applied as net reductions to this
baseline scenario for each GHG.
Table V.E–1 provides our estimated
reductions in projected global mean
surface temperatures and mean sea level
rise associated with the reductions in
GHG emissions due to the increase in
renewable fuels in 2022. To capture
some of the uncertainty in the climate
system, we estimated the changes in
projected temperatures and sea level
across the most current
Intergovernmental Panel on Climate
Change (IPCC) range of climate
sensitivities, 1.5 °C to 6.0 °C.185 To
illustrate the time profile of the
estimated reductions in projected global
mean surface temperatures and mean
sea level rise, we have also provided
Figures V.E–1 and V.E–2.
184 The reference scenario is the MiniCAM
reference (no climate policy) scenario used as the
basis for the Representative Concentration Pathway
RCP4.5 using historical emissions until 2005. This
scenario is used because it contains a
comprehensive suite of greenhouse and pollutant
gas emissions including carbonaceous aerosols. The
four RCP scenarios will be used as common inputs
into a variety of Earth System Models for intermodel comparisons leading to the IPCC AR5 (Moss
et al. 2008). The MiniCAM RCP4.5 is based on the
scenarios presented in Clarke et al. (2007) with nonCO2 and pollutant gas emissions implemented as
described in Smith and Wigley (2006). Base-year
information has been updated to the latest available
data for the RCP process.
185 In IPCC reports, equilibrium climate
sensitivity refers to the equilibrium change in the
annual mean global surface temperature following
a doubling of the atmospheric equivalent carbon
dioxide concentration. The IPCC states that climate
sensitivity is ‘‘likely’’ to be in the range of 2 °C to
4.5 °C and described 3 °C as a ‘‘best estimate.’’ The
IPCC goes on to note that climate sensitivity is ‘‘very
unlikely’’ to be less than 1.5 °C and ‘‘values
substantially higher than 4.5 °C cannot be
excluded.’’ IPCC WGI, 2007, Climate Change 2007—
The Physical Science Basis, Contribution of
Working Group I to the Fourth Assessment Report
of the IPCC, https://www.ipcc.ch/.
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TABLE V.E–1—ESTIMATED REDUCTIONS IN PROJECTED GLOBAL MEAN SURFACE TEMPERATURE AND GLOBAL MEAN SEA
LEVEL RISE FROM BASELINE IN 2020–2050
Climate sensitivity
1.5
Year
2020
2025
2030
2035
2040
2045
2050
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
mstockstill on DSKH9S0YB1PROD with RULES2
The results in Table V.E–1 and
Figures V.E–1 and V.E–2 show small
reductions in the global mean surface
temperature and sea level rise
projections across all climate
sensitivities. Overall, the reductions are
small relative to the IPCC’s ‘‘best
estimate’’ temperature increases by 2100
of 1.8 °C to 4.0 °C.186 Although IPCC
does not issue ‘‘best estimate’’ sea level
rise projections, the model-based range
across SRES scenarios is 18 to 59 cm by
2099.187 While the distribution of
potential temperatures in any particular
year is shifting down, the shift is not
uniform. The magnitude of the decrease
is larger for higher climate sensitivities.
The same pattern appears in the
reductions in the sea level rise
projections. Thus, we can conclude that
the impact of increased volumes of
renewable fuel is to lower the risk of
climate change, as the probabilities of
temperature increase and sea level rise
are reduced.
WGI, 2007.
understanding of some important
effects driving sea level rise is too limited, this
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concentrations. The air quality impacts,
however, are highly variable from region
to region. Ambient PM2.5 is likely to
increase in areas associated with biofuel
production and transport and decrease
in other areas; for ozone, many areas of
the country will experience increases
and a few areas will see decreases.
Ethanol concentrations will increase
substantially; for the other modeled air
toxics there are some localized impacts,
but relatively little impact on national
average concentrations.
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A. Overview of Emissions Impacts
Today’s action will affect the
emissions of ‘‘criteria’’ pollutants (those
pollutants for which EPA has
established a National Ambient Air
Quality Standard has been established),
criteria pollutant precursors,188 and air
toxics, which may affect overall air
quality and health. Emissions are
affected by the processes required to
produce and distribute large volumes of
biofuels required by today’s action and
the direct effects of these fuels on
vehicle and equipment emissions. As
detailed in Chapter 3 of the Regulatory
Impact Analysis (RIA), we have
estimated emissions impacts of
production and distribution-related
emissions using the life cycle analysis
methodology described in Section V
with emission factors for criteria and
toxic emissions for each stage of the life
cycle, including agriculture, feedstock
transportation, and the production and
distribution of biofuel; included in this
analysis are the impacts of reduced
gasoline and diesel refining as these
fuels are displaced by biofuels.
Emission impacts of tailpipe and
evaporative emissions for on and off
road sources have been estimated by
incorporating ‘‘per vehicle’’ fuel effects
from recent research into mobile source
emission inventory estimation methods.
In the proposal we analyzed a single
renewable fuel volume scenario, largely
dependent on ethanol, relative to three
different reference cases, including the
RFS1 base case. For today’s rule we are
presenting emission impacts for three
fuel volume scenarios relative to two
reference cases (RFS1 mandate and
AEO) to show a range of the possible
effects of biofuels depending on the
relative quantities of various biofuels
that may be used to meet the overall
renewable fuel requirements. We have
also updated our modeling for the RFS1
mandate reference case to better reflect
the emissions for this case. Table VI.A–
1 shows the fuel volumes for the two
reference cases and all three control
scenarios. Further discussion of these
fuel volumes and the subcategories
within each are available in Section
IV.A. The emission impacts of the
primary control scenario (22.2 Bgal of
ethanol) are presented here relative to
both reference cases. The corresponding
results for all three control cases are
available in Chapter 3 of the Regulatory
Impact Analysis for this rule.
report does not assess the likelihood, nor provide
a best estimate or an upper bound for sea level rise.’’
IPCC Synthesis Report, p. 45.
VI. How Would the Proposal Impact
Criteria and Toxic Pollutant Emissions
and Their Associated Effects?
This section presents our assessment
of the changes in emissions and air
quality resulting from the increased
renewable fuel volumes needed to meet
the RFS2 standards. Increases in
emissions of hydrocarbons, nitrogen
oxides, particulate matter, and other
pollutants are projected to lead to
increases in population-weighted
annual average ambient PM and ozone
187 ‘‘Because
3
Change in global mean sea level rise (centimeters)
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
.........................................................................................................
186 IPCC
2.5
Change in global mean surface temperatures (degrees Celsius)
Year
2020
2025
2030
2035
2040
2045
2050
2
188 NO and VOC are precursors to the criteria
X
pollutant ozone; we group them with criteria
pollutants in this chapter for ease of discussion.
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TABLE VI.A–1—RENEWABLE FUEL VOLUMES FOR EACH REFERENCE CASE AND CONTROL SCENARIO
[Bgal/year in 2022]
Ethanol
Biodiesel
Corn
mstockstill on DSKH9S0YB1PROD with RULES2
There have been a number of other
enhancements and corrections to the
non-GHG emission inventory estimates
since the NPRM, some of which were
included in the air quality modeling
inventories, while others occurred later
than that. The major changes are
mentioned here, and all the significant
changes are explained in detail in
Chapter 3 of the RIA.
One significant change relates to the
‘‘downstream’’ vehicle and equipment
emission impacts of using the increased
proportions of renewable fuels. In the
proposal we provided two different
analyses based on two different
assumptions regarding the effects of E10
and E85 versus E0 on exhaust emissions
from cars and trucks. Those were
referred to as ‘‘less sensitive’’ and ‘‘more
sensitive’’ cases. Based on analysis of
recent emissions test data conducted
since publication of the NPRM, we are
modeling a single case. As detailed in
Section VI.C, the case modeled for the
final rule is a hybrid approach, applying
‘‘more sensitive’’ impacts for E10 and
pre-Tier 2 light duty vehicles, and
applying the ‘‘less sensitive’’ E10 effects
for Tier 2 light duty cars and trucks,
which means no impact for NOX or nonmethane hydrocarbons (NMHC). We
have also updated our estimates of
evaporative permeation impacts of E10
based on recent studies. Finally, for the
final rule inventories we are only
claiming emission effects with use of
E85 in flex-fueled vehicles relative to E0
for two pollutants: ethanol and
acetaldehyde, for which data suggests
the effects are more certain. For the
‘‘more sensitive case’’ presented in the
NPRM, and used in the air quality
modeling, we had estimated changes to
additional pollutants (including
significant PM reductions) based on
some very limited data. Until such time
as additional data is collected to
enhance this analysis it is premature to
use such assumptions.
For ‘‘upstream’’ emissions associated
with fuel production and distribution,
the largest change that was included in
the air quality modeling was the
improved estimate of VOC and ethanol
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0.0
0.25
0.25
4.92
16.0
0.0
0.64
2.24
2.24
2.24
7.046
13.18
17.49
22.16
33.24
Cellulosic
diesel
0.0
0.0
0.15
0.15
0.15
0.0
0.0
9.26
6.52
0.0
Total
7.046
12.29
15.0
15.0
15.0
RFS1 Ref .................................................
AEO Ref ...................................................
Low Ethanol .............................................
Mid Ethanol (Primary) ..............................
High Ethanol ............................................
Cellulosic
Renewable
diesel
0.303
0.38
1.67
1.67
1.67
Scenario
vapor emissions during ethanol
transport, made possible by a detailed
analysis of costs and transport modes
conducted by Oak Ridge National
Laboratory (ORNL).189 This change
alone more than doubled the predicted
overall increase in ethanol emissions
from the increased use of renewable
fuels, increasing the VOC enough to
change the overall VOC impact from a
decrease to a substantial increase.
Significant updates have also been
made to emissions from cellulosic
biofuel plants, in part to reflect the
assumed shift in volumes from
cellulosic ethanol to diesel between the
proposed and final rules. For cellulosic
ethanol plants, after the air quality
modeling was done we discovered that
the calculation of emissions from these
plants had been overestimated due to
failing to account for the portion of
biomass that is not used for process
energy. This change decreases the
estimated NOX and CO impacts, and
shifts the PM impact of these plants
from an increase to a small decrease.
However, these changes are
counterbalanced by varying degrees by
shifting some of the cellulosic volume
from ethanol to diesel, which requires
nearly twice the biomass as needed by
ethanol to produce one gallon. While
the net effect of the changes in
cellulosic plant emissions is a decrease
in NOX and CO emission impacts
relative to the proposal, the shift to
cellulosic diesel under the primary
scenario results in a larger increase in
‘‘upstream’’ PM emissions than reported
in the NPRM or used in the air quality
analysis.
Updates to agricultural modeling
assumptions made between proposal
and final had a significant impact on
ammonia (NH3) emissions. Final
modeling reflects an increase in
fertilizer use with the primary control
case, which results in a 1.2 percent
increase in NH3 emissions, a change
from the 0.5 percent decrease projected
189 ‘‘Analysis of Fuel Ethanol Transportation
Activity and Potential Distribution Constraints,’’
Oak Ridge National Laboratory, U.S. Department of
Energy, March 2009.
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for the proposal and negligible impact
used in the air quality analyses.
Analysis of criteria and toxic emission
impacts was performed for calendar
year 2022, since this year reflects the
full implementation of today’s rule. Our
2022 projections account for projected
growth in vehicle travel and the effects
of applicable emission and fuel
economy standards, including Tier 2
and Mobile Source Air Toxics (MSAT)
rules for cars and light trucks and
recently finalized controls on sparkignited off-road engines.
The analysis presented here provides
estimates of the change in national
emission totals that would result from
the increased use of renewable fuels to
meet the statutory requirements of EISA.
These totals may not be a good
indication of local or regional air quality
and health impacts. These results are
aggregated across highly localized
sources, such as emissions from ethanol
plants and evaporative emissions from
cars, and reflect offsets such as
decreased emissions from gasoline
refineries. The location and composition
of emissions from these disparate
sources may strongly influence the air
quality and health impacts of the
increased use of renewable fuels, so fullscale photochemical air quality
modeling was also performed to
accurately assess this. These localized
impacts are discussed in Section VI.D.
Our projected emission impacts for
the primary renewable fuel scenario
relative to the two reference cases are
shown in Table VI.A–2 for 2022. This
shows the expected emission changes
for the U.S. in that year, and the percent
contribution of this impact relative to
the total U.S. inventory. Overall we
project that increases in the use of
renewable fuels will result in significant
increases in ethanol and acetaldehyde
emissions—increasing the total U.S.
inventories of these pollutants by 16–18
percent in 2022 relative to the RFS1
mandate case. We project more modest
increases in NOX, HC, PM,
formaldehyde, 1,3-butadiene, acrolein,
and ammonia (NH3) relative to the RFS1
mandate case. We project a 5 percent
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decrease in CO (due to impacts of
ethanol on exhaust emissions from
vehicles and nonroad equipment), and a
2.4 percent decrease in benzene (due to
displacement of gasoline with ethanol
in the fuel pool). Impacts on SO2 and
naphthalene are much smaller. Relative
to the AEO reference case the results are
similar directionally, but smaller in
magnitude due to the less drastic
differences in fuel volumes.
TABLE VI.A–2—TOTAL COMBINED UPSTREAM AND DOWNSTREAM EMISSION IMPACTS IN 2022 FOR PRIMARY SCENARIO
RELATIVE TO EACH REFERENCE CASE
RFS1 Mandate
Pollutant
Annual short
tons
NOX ..................................................................................................................
HC ....................................................................................................................
PM10 .................................................................................................................
PM2.5 ................................................................................................................
CO ....................................................................................................................
Benzene ...........................................................................................................
Ethanol .............................................................................................................
1,3–Butadiene ..................................................................................................
Acetaldehyde ...................................................................................................
Formaldehyde ..................................................................................................
Naphthalene .....................................................................................................
Acrolein ............................................................................................................
SO2 ..................................................................................................................
NH3 ..................................................................................................................
The breakdown of these results by the
fuel production/distribution (‘‘well-topump’’ emissions) and vehicle and
equipment (‘‘pump-to-wheel’’) emissions
is discussed in the following sections.
mstockstill on DSKH9S0YB1PROD with RULES2
B. Fuel Production & Distribution
Impacts of the Proposed Program
Fuel production and distribution
emission impacts of the increased use of
renewable fuels were estimated in
conjunction with the development of
life cycle GHG emission impacts and the
GHG emission inventories discussed in
Section V. These emissions are
calculated according to the breakdowns
of agriculture, feedstock transport, fuel
production, and fuel distribution; the
basic calculation is a function of fuel
volumes in the analysis year and the
emission factors associated with each
process or subprocess. Additionally, the
emission impact of displaced petroleum
is estimated, using the same domestic/
import shares discussed in Section V
above.
In general the basis for this life cycle
evaluation was the analysis conducted
as part of the Renewable Fuel Standard
(RFS1) rulemaking, but enhanced
significantly. While our approach for
the RFS1 was to rely heavily on the
‘‘Greenhouse Gases, Regulated
Emissions, and Energy Use in
Transportation’’ (GREET) model,
developed by the Department of
Energy’s Argonne National Laboratory
(ANL), we are now able to take
advantage of additional information and
models to significantly strengthen and
expand our analysis for this rule. In
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48,711
particular, the modeling of the
agriculture sector was greatly expanded
beyond the RFS1 analysis, employing
economic and agriculture models to
consider factors such as land-use
impact, agricultural burning, fertilizer,
pesticide use, livestock, crop allocation,
and crop exports.
Other updates and enhancements to
the GREET model assumptions include
updated feedstock energy requirements
and estimates of excess electricity
available for sale from new cellulosic
ethanol plants, based on modeling by
the National Renewable Energy
Laboratory (NREL). Per-gallon emission
factors for new corn ethanol plants were
updated based on EPA analysis of
energy efficiency technologies currently
available (such as combined heat and
power) and their expected market
penetrations. There are no new
standards planned at this time that
would offer any additional control of
emissions from corn or cellulosic
ethanol plants. EPA also updated the
fuel and feedstock transport emission
factors to account for recent EPA
emission standards and modeling, such
as the locomotive and commercial
marine standards finalized in 2008, and
revised heavy-duty truck emission rates
contained in EPA’s draft MOVES2009
model. EPA also modified the ethanol
transport distances based on a detailed
analysis of costs versus transport mode
conducted by Oak Ridge National
Laboratory. In addition, GREET does not
include air toxics or ethanol. Thus
emission factors for ethanol and the
following air toxics were added:
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AEO
% of total U.S.
inventory
1.95
0.87
1.92
0.46
¥5.30
¥2.41
18.20
1.70
15.80
0.48
¥0.01
0.38
0.04
1.15
Annual short
tons
184,820
24,523
63,323
14,393
¥376,419
¥1,004
54,137
59
3,108
130
¥4
21
5,065
48,711
% of Total
U.S. inventory
1.45
0.21
1.76
0.42
¥0.69
¥0.57
9.84
0.45
8.40
0.17
¥0.03
0.35
0.06
1.15
benzene, 1,3-butadiene, formaldehyde,
acetaldehyde, acrolein and naphthalene.
Results of these calculations relative
to each reference case in 2022 are
shown in Table VI.B–1 for the criteria
pollutants, ammonia, ethanol and
individual air toxic pollutants. Due to
the complex interactions involved in
projections in the agricultural modeling,
we did not attempt to adjust the
agricultural inputs of the AEO reference
case for the RFS1 mandate reference
case. So the fertilizer and pesticide
quantities, livestock counts, and total
agricultural acres were the same for both
reference cases. The agricultural
modeling that had been done for the
RFS1 rule itself was much simpler and
inconsistent with the new modeling, so
it would be inappropriate to use those
estimates.
The fuel production and distribution
impacts of the increased use of
renewable fuels on VOC are mainly due
to increases in emissions connected
with biofuel production, countered by
decreases in emissions associated with
gasoline production and distribution as
ethanol displaces some of the gasoline.
Increases in PM2.5, SOX and especially
NOX are driven by stationary
combustion emissions from the
substantial increase in corn and
cellulosic ethanol production. Biofuel
plants (corn and cellulosic) tend to have
greater combustion emissions relative to
petroleum refineries on a per-BTU of
fuel produced basis. Increases in SOX
emissions are also due to increases in
agricultural chemical production and
transport, while substantial PM
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increases are also associated with
fugitive dust from agricultural
operations. Ammonia emissions are
expected to increase substantially due to
increased ammonia from fertilizer use.
Ethanol vapor and most air toxic
emissions associated with fuel
production and distribution are
projected to increase. Relative to the US
total reference case emissions with
RFS1 mandate ethanol volumes,
increases of 4–13 percent for
acetaldehyde and ethanol vapor are
especially significant because they are
driven directly by the increased ethanol
production and distribution.
Formaldehyde and acrolein increases
are smaller, on the order of 0.4–1
percent. There are also very small
decreases in benzene, 1,3-butadiene and
naphthalene relative to the US total
emissions.
TABLE VI.B–1—‘‘UPSTREAM’’ FUEL PRODUCTION AND DISTRIBUTION IMPACTS OF THE PRIMARY SCENARIO IN 2022
RELATIVE TO EACH REFERENCE CASE
RFS1 mandate
Pollutant
Annual short
tons
NOX ..................................................................................................................
HC ....................................................................................................................
PM10 .................................................................................................................
PM2.5 ................................................................................................................
CO ....................................................................................................................
Benzene ...........................................................................................................
Ethanol .............................................................................................................
1,3–Butadiene ..................................................................................................
Acetaldehyde ...................................................................................................
Formaldehyde ..................................................................................................
Naphthalene .....................................................................................................
Acrolein ............................................................................................................
SO2 ..................................................................................................................
NH3 ..................................................................................................................
% of Total
U.S. inventory
1.34
0.67
1.94
0.47
0.25
¥0.13
12.63
¥0.01
4.37
0.39
¥0.06
1.13
0.04
1.15
Annual short
tons
164,170
19,737
63,892
14,707
130,172
¥236
35,865
0
933
187
¥6
37
5,044
48,711
% of Total
U.S. inventory
1.29
0.17
1.78
0.43
0.24
¥0.13
6.52
0.00
2.52
0.25
¥0.04
0.63
0.06
1.15
The effects of the increased use of
renewable fuels on vehicle and
equipment emissions are a direct
function of the effects of these fuels on
exhaust and evaporative emissions from
vehicles and off-road equipment, and
evaporation of fuel from portable
containers. To assess these impacts we
conducted separate analyses to quantify
the emission impacts of additional E10
due to the increased use of renewable
fuels on gasoline vehicles, nonroad
spark-ignited engines and portable fuel
containers; E85 on cars and light trucks;
biodiesel on diesel vehicles; and
increased refueling events due to lower
energy density of biofuels.190
In the proposal we provided two
different analyses based on two different
assumptions regarding the effects of E10
and E85 on exhaust emissions from cars
and trucks. Those were referred to as
‘‘less sensitive’’ and ‘‘more sensitive’’
cases. Based on analysis of recent
studies, today’s analysis is based on a
hybrid of these two scenarios. As
detailed in the RIA, EPA and other
parties have been gathering additional
data on the emission impacts of ethanol
fuels on later model vehicles. Data
available in time for this analysis
supports the hypothesis of the ‘‘less
sensitive’’ case that newer technology
Tier 2 vehicles are generally able to
control for changes to emissions
associated with low level ethanol
blends; for this analysis we therefore are
not attributing any NOX or VOC impact
to the use of E10 on these vehicles. The
data does show sensitivity for older
technology (pre-Tier 2) vehicles, so this
analysis does attribute an increase in
NOX and decrease in NMHC to the use
of E10 in these vehicles. This analysis
does not include any emission impacts
with use of E85 in flex-fueled vehicles,
except for increases in ethanol and
acetaldehyde, as the limited data
currently available is insufficient to
quantify the impact with any degree of
certainty. Overall the sensitivity of
exhaust emissions to ethanol assumed
for the final rule analysis is closer to the
‘‘less sensitive’’ case presented in the
proposal; and is generally less sensitive
than the case used for the air quality
modeling, as discussed in Section VI.D.
We have also updated our estimates of
E10 effects on permeation emissions
from light-duty vehicles based on
testing recently completed by the
Coordinating Research Council (CRC),
showing that the relative increase in
VOC emissions is higher for newer
technology vehicles. Nonroad spark
ignition (SI) emission impacts of E10
were based on EPA’s NONROAD model
and show trends similar to light duty
vehicles. Biodiesel effects for this
analysis were unchanged from the
proposal, and are based on an analysis
of recent biodiesel testing, detailed in
the RIA, showing a 2 percent increase in
NOX with a 20 percent biodiesel blend,
a 16 percent decrease in PM, and a 14
percent decrease in HC. These results
essentially confirm the results of an
earlier EPA analysis. This analysis does
not attribute any downstream emission
impact from the use of renewable diesel
or cellulosic-based diesel relative to
conventional diesel due to their
chemical similarity to diesel fuel and
limited test data.
Summarized vehicle and equipment
emission impacts in 2022, updated as
noted above, are shown in Table VI.C–
1 relative to each reference case. The
totals shown below reflect the net
impacts from all mobile sources,
including car and truck evaporative
emissions, off road emissions, and
portable fuel containers. Additional
breakdowns by mobile source category
can be found in Chapter 3 of the RIA.
Carbon monoxide, PM, benzene, and
acrolein are projected to decrease in
2022 as a result of the increased use of
renewable fuels, while NOX, HC and the
other air toxics, especially ethanol and
acetaldehyde, are projected to increase
due to the impacts of E10.
190 The impact of renewable diesel was not
estimated for this analysis; we expect little overall
impact on criteria and toxic emissions due to the
relatively small volume change, and because
emission effects relative to conventional diesel are
presumed to be negligible.
C. Vehicle and Equipment Emission
Impacts of Fuel Program
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169,665
77,014
69,583
15,864
135,658
¥231
69,445
¥1
1,617
293
¥8
67
3,266
48,711
AEO
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
TABLE VI.C–1—‘‘DOWNSTREAM’’ VEHICLE AND EQUIPMENT EMISSION IMPACTS OF THE PRIMARY SCENARIO IN 2022
RELATIVE TO EACH REFERENCE CASE
RFS1 Mandate
Pollutant
Annual short
tons
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NOX ..................................................................................................................
HC ....................................................................................................................
PM10 .................................................................................................................
PM2.5 ................................................................................................................
CO ....................................................................................................................
Benzene ...........................................................................................................
Ethanol .............................................................................................................
1,3–Butadiene ..................................................................................................
Acetaldehyde ...................................................................................................
Formaldehyde ..................................................................................................
Naphthalene .....................................................................................................
Acrolein ............................................................................................................
SO2 ..................................................................................................................
NH3 ..................................................................................................................
D. Air Quality Impacts
Air quality modeling was performed
to assess the projected impact of the
renewable fuel volumes required by
RFS2 on emissions of criteria and air
toxic pollutants. Our air quality
modeling reflects the impact of
increased renewable fuel use required
by RFS2 compared with two different
reference cases that include the use of
renewable fuels: A 2022 reference case
projection based on the RFS1-mandated
volume of 7.1 billion gallons of
renewable fuels, and a 2022 reference
case projection based on the AEO 2007
volume of roughly 13.6 billion gallons
of renewable fuels. Thus, the results
represent the impact of an incremental
increase in ethanol and other renewable
fuels. We note that the air quality
modeling results presented in this final
rule do not constitute the ‘‘antibacksliding’’ analysis required by Clean
Air Act section 211(v). EPA will be
analyzing air quality impacts of
increased renewable fuel use through
that study and will promulgate
appropriate mitigation measures under
section 211(v), separate from this final
action.
It is critical to note that a key
limitation of the analysis is that it
employed interim emission inventories,
which were somewhat enhanced
compared to what was described in the
proposal, but due to the timing of the
analysis did not include some of the
later enhancements and corrections of
the final emission inventories presented
in this FRM (see Section VI.A through
VI.C of this preamble). Most
significantly, our modeling of the air
quality impacts of the renewable fuel
volumes required by RFS2 relied upon
interim inventories that assumed that
ethanol will make up 34 of the 36
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77,939
23,748
¥569
¥315
¥3,005,500
¥4,033
30,678
225
4,231
62
7
¥44
21
0
billion gallon renewable fuel mandate,
that approximately 20 billion gallons of
this ethanol will be in the form of E85,
and that the use of E85 results in fewer
emissions of direct PM2.5 from vehicles.
The emission impacts and air quality
results would be different if, instead of
E85, more non-ethanol biofuels are used
or mid-level ethanol blends are
approved.
In fact, as explained in Section IV, our
more recent analyses indicate that
ethanol and E85 volumes are likely to be
significantly lower than what we
assumed in the interim inventories.
Furthermore, the final emission
inventories do not include vehiclerelated PM reductions associated with
E85 use, as discussed in Section VI.A
and VI.C of this preamble. There are
additional, important limitations and
uncertainties associated with the
interim inventories that must be kept in
mind when considering the results:
• Error in PM2.5 emissions from
locomotive engines
After the air quality modeling was
completed, we discovered an error in
the way that PM2.5 emissions from
locomotive engines were allocated to
counties in the inventory. Although
there was very little impact on nationallevel PM2.5 emissions, PM2.5 emission
changes were too high in some counties
and too low in others, by varying
degrees. As a result, we do not present
the modeling results for specific
localized PM2.5 impacts. However, we
have concluded that PM2.5 modeling
results are still informative for nationallevel benefits assessment, as discussed
at more length in Section VIII.D of this
preamble and the RIA.
• Sensitivity of light-duty vehicle
exhaust emissions to ethanol blends
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AEO
% of Total
U.S. inventory
0.61
0.21
¥0.02
¥0.01
¥5.55
¥2.28
5.58
1.71
11.43
0.08
0.05
¥0.75
0.00
0.00
Annual short
tons
20,650
4,786
¥569
¥315
¥506,591
¥768
18,272
59
2,175
¥57
2
¥16
21
0
% of Total
U.S. inventory
0.16
0.04
¥0.02
¥0.01
¥0.94
¥0.43
3.32
0.45
5.88
¥0.08
0.01
¥0.28
0.00
0.00
As discussed above in Sections VI.A
and VI.C of this preamble, the interim
emission inventories used for the air
quality modeling analysis are the ‘‘more
sensitive’’ case described in the
proposal. As a result, the interim
inventories used for air quality
modeling assume that vehicles
operating on E10 have higher NOX
emissions and lower VOC, CO and PM
exhaust emissions compared to the FRM
inventories.
• Cellulosic plant emissions
The interim emission inventories
used in air quality modeling generally
assumed higher emissions from
cellulosic plants than the FRM
inventories, which used revised
estimates based on updates to the
fraction of biomass burned at these
plants. However, as noted in Section
VI.A, the shift of some cellulosic
volume from ethanol to diesel results in
higher PM emissions from cellulosic
plants in the final rule inventories than
used in the air quality modeling
inventories.
• Ethanol volume
As mentioned above, the interim
emission inventories used in our air
quality modeling reflect the use of
ethanol in about 34 of the mandated 36
billion gallons and do not include any
cellulosic diesel. As shown in Table
VI.A–1, the FRM inventories assume 22
billion gallons of ethanol in the primary
case and 6.5 billion gallons of cellulosic
diesel. The inventories used for air
quality modeling assume ethanol
volumes are more consistent with the
FRM’s high-ethanol case inventory,
which reflects the use of 33 billion
gallons of ethanol and no cellulosic
diesel.
• Renewable fuel transport emissions
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
As discussed in Section 3.3, the
estimates of renewable fuel transport
volumes and distances differ between
the air quality modeling and final rule
inventories.
In this section, we present
information on current modeled levels
of pollution as well as projections for
2022, with respect to ambient PM2.5,
ozone, selected air toxics, and nitrogen
and sulfur deposition. The air quality
modeling results indicate that ambient
PM2.5 is likely to increase in areas
associated with biofuel production and
transport and decrease in other areas.
The results of the air quality modeling
also indicate that many areas of the
country will experience increases in
ambient ozone and a few areas will see
decreases in ambient ozone as a result
of the renewable fuel volumes required
by RFS2. The modeling also shows that
ethanol concentrations increase
substantially with increases in
renewable fuel volumes. For the other
modeled air toxics, there are some
localized impacts, but relatively little
impact on national average
concentrations. Our air quality
modeling does not show substantial
overall nationwide impacts on the
annual total sulfur and nitrogen
deposition occurring across the U.S.
However, the air quality modeling
results indicate that the entire Eastern
half of the U.S. along with the Pacific
Northwest would see increases in
nitrogen deposition as a result of
increased renewable fuel use. The
results of the modeling also show that
sulfur deposition will increase in the
Midwest and in some rural areas of the
west associated with biofuel production.
The results are discussed in more detail
below and in Section 3.4 of the RIA.
We used the Community Multi-scale
Air Quality (CMAQ) photochemical
model, version 4.7, for our analysis.
This version of CMAQ includes a
number of improvements to previous
versions of the model that are important
in assessing impacts of the increased
use of renewable fuels, including
additional pathways for formation of
soluble organic aerosols (SOA). These
improvements are discussed in Section
3.4 of the RIA.
In addition to the limitations of the
analysis that result from the use of
interim emission inventories rather than
the FRM inventories, there are
uncertainties in the air quality analysis
that should be noted. First, there are
uncertainties inherent in the modeling
process. Pollutants such as ozone, PM,
acetaldehyde, formaldehyde, acrolein,
and 1,3-butadiene can be formed
secondarily through atmospheric
chemical processes. These processes can
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be very complex, and there are
uncertainties in emissions of precursor
compounds and reaction pathways. In
addition, simplifications of chemistry
must be made in order to handle
reactions of thousands of chemicals in
the atmosphere. Another source of
uncertainty involves the hydrocarbon
speciation profiles, which are applied to
the VOC inventories to break VOC down
into individual constituent compounds
which react in the atmosphere. Given
the complexity of the atmospheric
chemistry, the hydrocarbon speciation
has an important influence on the air
quality modeling results. Speciation
profiles for a number of key sources are
based on data with significant
limitations. Finally, there are
uncertainties in the surrogates used to
allocate emissions spatially and
temporally; this is particularly
significant in projecting the location of
new ethanol plants, especially future
cellulosic biofuel plants. These plants
can have large impacts on local
emissions. A more detailed discussion
of these and additional uncertainties
and limitations associated with our air
quality modeling is presented in Section
3.4 of the RIA.
attain the 2006 24-hour PM2.5 NAAQS
in the 2014 to 2019 time frame and then
be required to maintain the 2006 24hour PM2.5 NAAQS thereafter.
EPA has already adopted many
emission control programs that are
expected to reduce ambient PM2.5 levels
and which will assist in reducing the
number of areas that fail to achieve the
PM2.5 NAAQS. Even so, recent air
quality modeling for the ‘‘Control of
Emissions from New Marine
Compression-Ignition Engines at or
Above 30 Liters per Cylinder’’ rule
projects that in 2020, at least 10
counties with a population of almost 25
million may not attain the 1997 annual
PM2.5 standard of 15 μg/m3 and 47
counties with a population of over 53
million may not attain the 2006 24-hour
PM2.5 standard of 35 μg/m3.191 These
numbers do not account for those areas
that are close to (e.g., within 10 percent
of) the PM2.5 standards. These areas,
although not violating the standards,
will also benefit from any reductions in
PM2.5 ensuring long-term maintenance
of the PM2.5 NAAQS.
1. Particulate Matter
We are not able to present air quality
modeling results which detail changes
in PM2.5 design values for specific local
areas due to the error in the locomotive
inventory mentioned in the introduction
to this section. However, we do know
that ambient PM2.5 increases in some
areas of the country and decreases in
other areas of the country. Ambient
PM2.5 is likely to increase as a result of
emissions at biofuel production plants
and from biofuel transport, both of
which are more prevalent in the
Midwest. PM concentrations are likely
to decrease in some areas due to
reductions in SOA formation and
reduced emissions from gasoline
refineries. In addition, decreases in
ambient PM are predicted because our
modeling inventory assumed that E85
usage reduces PM tailpipe emissions.
The decreases in ambient PM from
reductions in SOA and tailpipe
emissions are likely to occur where
there is a higher density of vehicles,
such as the Northeast. See Section
VIII.D for a discussion of the changes in
national average population-weighted
PM2.5 concentrations.
a. Current Levels
PM2.5 concentrations exceeding the
level of the PM2.5 NAAQS occur in
many parts of the country. In 2005, EPA
designated 39 nonattainment areas for
the 1997 PM2.5 NAAQS (70 FR 943,
January 5, 2005). These areas are
composed of 208 full or partial counties
with a total population exceeding 88
million. The 1997 PM2.5 NAAQS was
recently revised and the 2006 24-hour
PM2.5 NAAQS became effective on
December 18, 2006. On October 8, 2009,
the EPA issued final nonattainment area
designations for the 2006 24-hour PM2.5
NAAQS (74 FR 58688, November 13,
2009). These designations include 31
areas composed of 120 full or partial
counties with a population of over 70
million. In total, there are 54 PM2.5
nonattainment areas composed of 245
counties with a population of 101
million people.
b. Projected Levels Without RFS2
Volumes
States with PM2.5 nonattainment areas
are required to take action to bring those
areas into compliance in the future.
Areas designated as not attaining the
1997 PM2.5 NAAQS will need to attain
the 1997 standards in the 2010 to 2015
time frame, and then maintain them
thereafter. The 2006 24-hour PM2.5
nonattainment areas will be required to
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c. Projected Levels With RFS2 Volumes
191 US EPA (2009). Final Rule ‘‘Control of
Emissions from New Marine Compression-Ignition
Engines at or Above 30 Liters per Cylinder’’. (This
rule was signed on December 18, 2009 but has not
yet been published in the Federal Register. The
signed version of the rule is available at https://
epa.gov/otaq/oceanvessels.htm).
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2. Ozone
a. Current Levels
8-hour ozone concentrations
exceeding the level of the ozone
NAAQS occur in many parts of the
country. In 2008, the U.S. EPA amended
the ozone NAAQS (73 FR 16436, March
27, 2008). The final 2008 ozone NAAQS
rule set forth revisions to the previous
1997 NAAQS for ozone to provide
increased protection of public health
and welfare. As of January 6, 2010 there
are 51 areas designated as
nonattainment for the 1997 8-hour
ozone NAAQS, comprising 266 full or
partial counties with a total population
of over 122 million people. These
numbers do not include the people
living in areas where there is a future
risk of failing to maintain or attain the
1997 8-hour ozone NAAQS. The
14805
numbers above likely underestimate the
number of counties that are not meeting
the ozone NAAQS because the
nonattainment areas associated with the
more stringent 2008 8-hour ozone
NAAQS have not yet been
designated.192 Table VI.D–1 provides an
estimate, based on 2005–07 air quality
data, of the counties with design values
greater than the 2008 8-hour ozone
NAAQS of 0.075 ppm.
TABLE VI.D–1—COUNTIES WITH DESIGN VALUES GREATER THAN THE 2008 OZONE NAAQS BASED ON 2005–2007 AIR
QUALITY DATA
Number of
counties
Population a
1997 Ozone Standard: Counties within the 51 areas currently designated as nonattainment (as of 1/6/10) .......
2008 Ozone Standard: Additional counties that would not meet the 2008 NAAQS b ............................................
266
227
122,343, 799
41,285,262
Total ..................................................................................................................................................................
493
163,629,061
Notes:
a Population numbers are from 2000 census data.
b Area designations for the 2008 ozone NAAQS have not yet been made. Nonattainment for the 2008 Ozone NAAQS would be based on three
years of air quality data from later years. Also, the county numbers in this row include only the counties with monitors violating the 2008 Ozone
NAAQS. The numbers in this table may be an underestimate of the number of counties and populations that will eventually be included in areas
with multiple counties designated nonattainment.
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b. Projected Levels Without RFS2
Volumes
NAAQS. Even so, our air quality
modeling projects that in 2022, with all
current controls but excluding the
impacts of the renewable fuel volumes
required by RFS2, up to 7 counties with
a population of over 22 million may not
attain the 2008 ozone standard of 0.075
ppm (75 ppb). These numbers do not
account for those areas that are close to
(e.g., within 10 percent of) the 2008
ozone standard. These areas, although
not violating the standards, will also
benefit from any reductions in ozone
ensuring long-term maintenance of the
ozone NAAQS.
States with 8-hour ozone
nonattainment areas are required to take
action to bring those areas into
compliance in the future. Based on the
final rule designating and classifying 8hour ozone nonattainment areas for the
1997 standard (69 FR 23951, April 30,
2004), most 8-hour ozone nonattainment
areas will be required to attain the
ozone NAAQS in the 2007 to 2013 time
frame and then maintain the NAAQS
thereafter. EPA has recently proposed to
reconsider the 2008 ozone NAAQS. If
EPA promulgates different ozone
NAAQS in 2010 as a result of the
reconsideration, they would fully
replace the 2008 ozone NAAQS and
there would no longer be a requirement
to designate areas for the 2008 NAAQS.
EPA would designate nonattainment
areas for a potential new 2010 primary
ozone NAAQS based on the
reconsideration of the 2008 ozone
NAAQS in 2011. The attainment dates
for areas designated nonattainment for a
potential new 2010 primary ozone
NAAQS are likely to be in the 2014 to
2031 timeframe, depending on the
severity of the problem.
EPA has already adopted many
emission control programs that are
expected to reduce ambient ozone levels
and assist in reducing the number of
areas that fail to achieve the ozone
Our modeling indicates that the
required renewable fuel volumes will
cause increases in ozone design value
concentrations in many areas of the
country and decreases in ozone design
value concentrations in a few areas. Air
quality modeling of the expected
impacts of the renewable fuel volumes
required by RFS2 shows that in 2022,
most counties with modeled data,
especially those in the southeast U.S.,
will see increases in their ozone design
values. These adverse impacts are likely
due to increased upstream emissions of
NOX in many areas that are NOX-limited
(acting as a precursor to ozone
formation). The majority of these design
value increases are less than 0.5 ppb.
The maximum projected increase in an
192 EPA recently proposed to reconsider the 2008
NAAQS. Because of the uncertainty the
reconsideration proposal creates regarding the
continued applicability of the 2008 ozone NAAQS,
EPA has used its authority to extend by 1 year the
deadline for promulgating designations for those
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c. Projected Levels With RFS2 Volumes
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8-hour ozone design value is in Morgan
County, Alabama, 1.56 ppb and 1.27
ppb when compared with the RFS1
mandate and AEO 2007 reference cases
respectively. As mentioned above there
are some areas which see decreases in
their ozone design values. This is likely
due to VOC emission reductions at the
tailpipe in urban areas that are VOClimited (reducing VOC’s role as a
precursor to ozone formation). The
maximum decrease projected in an 8hour ozone design value is in Riverside,
CA, 0.66 ppb and 0.6 ppb when
compared with the RFS1 mandate and
AEO 2007 reference cases respectively.
On a population-weighted basis, the
average modeled future-year 8-hour
ozone design values are projected to
increase by 0.28 ppb in 2022 when
compared with the RFS1 mandate
reference case and increase by 0.16 ppb
when compared with the AEO 2007
reference case. On a populationweighted basis the design values for
those counties that are projected to be
above the 2008 ozone standard in 2022
will see decreases of 0.14 ppb when
compared with the RFS1 mandate
reference case and 0.15 ppb when
compared with the AEO 2007 reference
case.
NAAQS. The new deadline is March 2011. EPA
intends to complete the reconsideration by August
31, 2010.
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3. Air Toxics
a. Current Levels
The majority of Americans continue
to be exposed to ambient concentrations
of air toxics at levels which have the
potential to cause adverse health
effects.193 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 U.S. EPA’s recent Mobile
Source Air Toxics Rule.194 According to
the National Air Toxic Assessment
(NATA) for 2002,195 mobile sources
were responsible for 47 percent of
outdoor toxic emissions, over 50 percent
of the cancer risk, and over 80 percent
of the noncancer hazard. Benzene is the
largest contributor to cancer risk of all
124 pollutants quantitatively assessed in
the 2002 NATA and mobile sources
were responsible for 59 percent of
benzene emissions in 2002. Over the
years, EPA has implemented a number
of mobile source and fuel controls
resulting in VOC reductions, which also
reduce benzene and other air toxic
emissions.
b. Projected Levels
Our modeling indicates that, while
there are some localized impacts, the
renewable fuel volumes required by
RFS2 have relatively little impact on
national average ambient concentrations
of the modeled air toxics. An exception
is increased ambient concentrations of
ethanol. For more information on the air
toxics modeling results, see Section 3.4
of the RIA for annual average results
and Appendix 3A of the RIA for
seasonal average results. Our discussion
of the air quality modeling results
focuses primarily on impacts of the
renewable fuel volumes required by
RFS2 in reference to the RFS1 mandate
for 2022. Except where specifically
discussed below, air quality modeling
results of increased renewable fuel use
with RFS2 as compared to the AEO
2007 reference case are presented in
Appendix 3A of this RIA.
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i. Acetaldehyde
Our air quality modeling does not
show substantial overall nationwide
impacts on ambient concentrations of
acetaldehyde as a result of the
renewable fuel volumes required by this
193 U. S. EPA. (2009) 2002 National-Scale Air
Toxics Assessment. https://www.epa.gov/ttn/atw/
nata2002/.
194 U.S. Environmental Protection Agency (2007).
Control of Hazardous Air Pollutants from Mobile
Sources; Final Rule. 72 FR 8434, February 26, 2007.
195 U.S. EPA. (2009) 2002 National-Scale Air
Toxics Assessment. https://www.epa.gov/ttn/atw/
nata2002/.
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rule, although there is considerable
uncertainty associated with the results.
Annual percent changes in ambient
concentrations of acetaldehyde are less
than 1% for most of the country, and
annual absolute changes in ambient
concentrations of acetaldehyde are
generally less than 0.1 μg/m3. Some
urban areas show decreases in ambient
acetaldehyde concentrations ranging
from 1 to 10%, and some rural areas
associated with new ethanol plants
show increases in ambient acetaldehyde
concentrations ranging from 1 to 10%
with RFS2 volumes. This increase is
due to an increase in emissions of
primary acetaldehyde and precursor
emissions from ethanol plants. A key
reason for the decrease in urban areas is
reductions in certain acetaldehyde
precursors, primarily alkenes (olefins).
Most ambient acetaldehyde is formed
from secondary photochemical reactions
of numerous precursor compounds, and
many photochemical mechanisms are
responsible for this process.
The uncertainty associated with these
results is described in more detail in
Section 3.4 of the RIA. For example,
some of the modeled decreases would
likely become increases using data
recently collected by EPA’s Office of
Research and Development on the
composition of hydrocarbon emissions
from gasoline storage, gasoline
distribution, and gas cans. Furthermore,
as noted in the introduction to Section
VI.D, the inventories used for air quality
modeling may overestimate NOX,
because they assumed that use of E10
would lead to increases in NOX
emissions for later model year vehicles.
The emission inventories for the final
rule no longer make this assumption,
based on recent EPA testing results.196
Because increases in NOX may result in
more acetyl peroxy radical forming PAN
rather than acetaldehyde, our air quality
modeling results may underestimate the
ambient concentrations of acetaldehyde.
Some previous U.S. monitoring
studies have suggested an insignificant
or small impact of increased use of
ethanol in fuel on ambient
acetaldehyde, as discussed in more
detail in Section 3.4 of the RIA. These
studies suggest that increases in direct
emissions of acetaldehyde are offset by
decreases in the secondary formation of
acetaldehyde. Other past studies have
shown increases in ambient
acetaldehyde with increased use of
ethanol in fuel, although factors such as
differences in vehicle fleet, lack of RVP
196 ‘‘Summary of recent findings for fuel effects of
a 10% ethanol blend on light duty exhaust
emissions’’, Memo from Aron Butler to Docket EPA–
HQ–OAR–2005–0161.
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control, and exclusion of upstream
impacts may limit the ability of these
studies to inform expected impacts on
ambient air quality Given the conflicting
results among past studies and the
limitations of our analysis, considerable
additional work is needed to address the
impacts of the renewable fuel volumes
required by this rule on ambient
concentrations of acetaldehyde.
ii. Formaldehyde
Our air quality modeling results do
not show substantial impacts on
ambient concentrations of formaldehyde
from the renewable fuel volumes
required by this rule. Most of the U.S.
experiences a 1% or less change in
ambient formaldehyde concentrations.
Decreases in ambient formaldehyde
concentrations range between 1 and 5%
in a few urban areas. Increases range
between 1 and 2.5% in some rural areas
associated with new ethanol plants; this
result is due to increases in emissions
of primary formaldehyde and
formaldehyde precursors from the new
ethanol plants. Absolute changes in
ambient concentrations of formaldehyde
are generally less than 0.1 μg/m3.
iii. Ethanol
Our modeling projects that the
renewable fuel volumes required by this
rule will lead to significant nationwide
increases in ambient ethanol
concentrations. Increases ranging
between 10 to 50% are seen across most
of the country. The largest increases
(more than 100%) occur in urban areas
with high amounts of on-road emissions
and in rural areas associated with new
ethanol plants. Absolute increases in
ambient ethanol concentrations are
above 1.0 ppb in some urban areas.
Analysis of a modeling error that
impacted ethanol emissions suggests
that this error resulted in overestimates
of ethanol impacts by more than 10%
across much of the country. For a
detailed discussion of this error, please
refer to the emissions modeling TSD,
found in the docket for this rule (EPA–
HQ–OAR–2005–0161).
iv. Benzene
Our modeling projects that the
renewable fuel volumes required by this
rule will lead to small nationwide
decreases in ambient benzene
concentrations. Decreases in ambient
benzene concentrations range between 1
and 10% across most of the country and
can be higher in a few urban areas.
Absolute changes in ambient
concentrations of benzene show
reductions up to 0.2 μg/m3.
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v. 1,3-Butadiene
The results of our air quality
modeling show small increases and
decreases in ambient concentrations of
1,3-butadiene in parts of the U.S. as a
result of increases in renewable fuel
volumes required by RFS2. Generally,
decreases occur in some southern areas
of the country and increases occur in
some northern areas and areas with high
altitudes. Percent changes in 1,3butadiene concentrations are over 50%
in several areas; but the changes in
absolute concentrations of ambient 1,3butadiene are generally less than 0.005
μg/m 3. Annual increases in ambient
concentrations of 1,3-butadiene are
driven by wintertime changes. These
increases appear in rural areas with cold
winters and low ambient levels but high
contributions of emissions from
snowmobiles, and a major reason for
this modeled increase may be
deficiencies in available emissions test
data used to estimate snowmobile 1,3butadiene emission inventories.
vi. Acrolein
Our air quality modeling shows small
regional increases and decreases in
ambient concentrations of acrolein as a
result of increases in renewable fuel
volumes required by this rule. Decreases
in acrolein concentrations occur in
some eastern and southern parts of the
U.S. and increases occur in some
northern areas and areas associated with
new ethanol plants. Changes in absolute
ambient concentrations of acrolein are
between ± 0.001 μg/m3 with the
exception of the increases associated
with new ethanol plants. These
increases can be up to and above 0.005
μg/m3 with percent changes above 50%
and are due to increases in emissions of
acrolein from the new plants. Ambient
acrolein increases in northern regions
are driven by wintertime changes, and
occur in the same areas of the country
that have wintertime increases in
ambient 1,3-butadiene. 1,3-butadiene is
a precursor to acrolein, and these
increases are likely associated with the
same emission inventory issues in areas
of high snowmobile usage seen for 1,3butadiene, as described above.
vii. Population Metrics
To assess the impact of projected
changes in ambient air toxics as a result
of increases in renewable fuel volumes
required by this rule, we developed
population metrics that show the
population experiencing increases and
decreases in annual ambient
concentrations of the modeled air
toxics. Table VI.D–2 below illustrates
the percentage of the population
impacted by changes of various
magnitudes in annual ambient
concentrations with the renewable fuel
volumes required by RFS2, as compared
to the RFS1 mandate reference case.
TABLE VI.D–2—PERCENT OF TOTAL POPULATION IMPACTED BY CHANGES IN ANNUAL AMBIENT CONCENTRATIONS OF
TOXIC POLLUTANTS: RFS2 COMPARE TO RFS1 MANDATE
Percent change in annual
ambient concentration
Acetaldehyde
(percent)
Acrolein
(percent)
Benzene
(percent)
1,3–Butadiene
(percent)
Ethanol
(percent)
Formaldehyde
(percent)
≤¥100 ..............................
>¥100 to ≤¥50 ..............
>¥50 to ≤¥10 ................
>¥10 to ≤¥5 ..................
>¥5 to ≤¥2.5 .................
>¥2.5 to ≤¥1 .................
>¥1 to <1 ........................
≥1 to <2.5 .........................
≥2.5 to <5 .........................
≥5 to <10 ..........................
≥10 to <50 ........................
≥50 to <100 ......................
≥100 .................................
............................
............................
0.76
8.17
13.29
25.26
52.24
0.24
0.04
0.02
............................
............................
............................
............................
............................
............................
0.18
13.66
40.13
36.03
3.44
2.93
2.00
1.51
0.08
0.05
............................
............................
1.18
12.92
48.76
23.60
13.55
............................
............................
............................
............................
............................
............................
............................
............................
1.38
28.11
31.98
12.87
19.37
1.53
1.13
1.13
2.15
0.28
0.06
............................
............................
............................
............................
............................
............................
............................
............................
0.22
1.23
63.29
34.49
0.77
............................
............................
............................
............................
4.11
19.30
76.08
0.48
0.01
............................
............................
............................
............................
Table VI.D–3 shows changes in the
population-weighted average ambient
concentrations of air toxics that are
projected to occur in 2022 with
increased renewable fuel use as required
by this rule.
TABLE VI.D–3—POPULATION-WEIGHTED AVERAGE AMBIENT CONCENTRATIONS OF AIR TOXICS IN 2022 WITH RFS2
RENEWABLE FUEL REQUIREMENTS
Population-weighted concentration
(Annual average in μg/m 3)
Population-weighted concentration
(Annual average in μg/m 3)
RFS2 v. RFS1 mandate reference case
RFS2 v. AEO 2007 reference case
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RFS2
Acetaldehyde ...................................................................
Acrolein ............................................................................
Benzene ...........................................................................
1,3-Butadiene ...................................................................
Ethanol .............................................................................
Formaldehyde ..................................................................
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0.017
0.520
0.022
1.521
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RFS2–
RFS1
RFS1
mandate
1.618
0.018
0.535
0.023
1.039
1.558
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¥0.001
¥0.015
¥0.001
0.482
¥0.009
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1.590
0.017
0.520
0.022
1.521
1.549
26MRR2
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1.613
0.017
0.527
0.230
1.112
0.004
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RFS2–AEO
¥0.023
¥0.0001
¥0.007
¥0.208
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
4. Nitrogen and Sulfur Deposition
mstockstill on DSKH9S0YB1PROD with RULES2
a. Current Levels
Over the past two decades, the EPA
has undertaken numerous efforts to
reduce nitrogen and sulfur deposition
across the U.S. Analyses of long-term
monitoring data for the U.S. show that
deposition of both nitrogen and sulfur
compounds has decreased over the last
17 years although many areas continue
to be negatively impacted by deposition.
Deposition of inorganic nitrogen and
sulfur species routinely measured in the
U.S. between 2004 and 2006 were as
high as 9.6 kilograms of nitrogen per
hectare per year (kg N/ha/yr) and 21.3
kilograms of sulfur per hectare per year
(kg S/ha/yr). The data show that
reductions were more substantial for
sulfur compounds than for nitrogen
compounds. These numbers are
generated by the U.S. national
monitoring network and they likely
underestimate nitrogen deposition
because neither ammonia nor organic
nitrogen is measured. In the eastern
U.S., where data are most abundant,
total sulfur deposition decreased by
about 36% between 1990 and 2005,
while total nitrogen deposition
decreased by 19% over the same time
frame.197
b. Projected Levels
Our air quality modeling does not
show substantial overall nationwide
impacts on the annual total sulfur and
nitrogen deposition occurring across the
U.S. as a result of increased renewable
fuel volumes required by this rule. For
sulfur deposition, when compared to
the RFS1 mandate reference case, the
RFS2 renewable fuel volumes will result
in annual percent increases in the
Midwest ranging from 1% to more than
4%. Some rural areas in the west, likely
associated with new ethanol plants, will
also have increases in sulfur deposition
ranging from 1% to more than 4% as a
result of the RFS2 renewable fuel
volumes. When compared to the AEO
2007 reference case, the changes are
more limited. The Midwest will still
have sulfur deposition increases ranging
from 1% to more than 4%, but the size
of the area with these changes will be
smaller. The Pacific Northwest has
minimal areas with increases in sulfur
deposition when compared to the AEO
2007 reference case. When compared to
both the RFS1 mandate and AEO 2007
reference cases, areas along the Gulf
Coast in Louisiana and Texas will
experience decreases in sulfur
197 U.S. EPA. U.S. EPA’s 2008 Report on the
Environment (Final Report). U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R–
07/045F (NTIS PB2008–112484).
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deposition of 2% to more than 4%. The
remainder of the country will see only
minimal changes in sulfur deposition,
ranging from decreases of less than 1%
to increases of less than 1%. For a map
of 2022 sulfur deposition impacts and
additional information on these
impacts, see Section 3.4.2.2 of the RIA.
Overall, nitrogen deposition impacts
in 2022 resulting from the renewable
fuel volumes required by RFS2 are more
widespread than the sulfur deposition
impacts. When compared to the RFS1
mandate 2007 reference case, nearly the
entire eastern half of the United States
will see nitrogen deposition increases
ranging from 0.5% to more than 2%.
The largest increases will occur in the
states of Illinois, Michigan, Indiana,
Wisconsin, and Missouri, with large
portions of each of these states seeing
nitrogen deposition increases of more
than 2%. The Pacific Northwest will
also experience increases in nitrogen of
0.5% to more than 2%. When compared
to the AEO 2007 reference case, the
changes in nitrogen deposition are more
limited. The eastern half of the United
States will still see nitrogen deposition
increases ranging from 0.5% to more
than 2%; however, the size of the area
with these changes will be smaller.
Increases of more than 2% will
primarily occur only in Illinois, Indiana,
Michigan, and Missouri. Fewer areas in
the Pacific Northwest will have
increases in nitrogen deposition when
compared to the AEO 2007 reference
case. In both the RFS1 mandate and
AEO 2007 reference cases, the Mountain
West and Southwest will see only
minimal changes in nitrogen deposition,
ranging from decreases of less than
0.5% to increases of less than 0.5%. A
few areas in Minnesota and western
Kansas would experience reductions of
nitrogen up to 2%. See Section 3.4.2.2
of the RIA for a map and additional
information on nitrogen deposition
impacts.
E. Health Effects of Criteria and Air
Toxics Pollutants
1. Particulate Matter
a. Background
Particulate matter is a generic term for
a broad class of chemically and
physically diverse substances. It can be
principally characterized as discrete
particles that exist in the condensed
(liquid or solid) phase spanning several
orders of magnitude in size. Since 1987,
EPA has delineated that subset of
inhalable particles small enough to
penetrate to the thoracic region
(including the tracheobronchial and
alveolar regions) of the respiratory tract
(referred to as thoracic particles).
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Current NAAQS use PM2.5 as the
indicator for fine particles (with PM2.5
referring to particles with a nominal
mean aerodynamic diameter less than or
equal to 2.5 μm), and use PM10 as the
indicator for purposes of regulating the
coarse fraction of PM10 (referred to as
thoracic coarse particles or coarsefraction particles; generally including
particles with a nominal mean
aerodynamic diameter greater than 2.5
μm and less than or equal to 10 μm, or
PM10–2.5). Ultrafine particles are a subset
of fine particles, generally less than 100
nanometers (0.1 μm) in aerodynamic
diameter.
Fine particles are produced primarily
by combustion processes and by
transformations of gaseous emissions
(e.g., SOX, NOX and VOC) in the
atmosphere. The chemical and physical
properties of PM2.5 may vary greatly
with time, region, meteorology, and
source category. Thus, PM2.5 may
include a complex mixture of different
pollutants including sulfates, nitrates,
organic compounds, elemental carbon
and metal compounds. These particles
can remain in the atmosphere for days
to weeks and travel hundreds to
thousands of kilometers.
b. Health Effects of PM
Scientific studies show ambient PM is
associated with a series of adverse
health effects. These health effects are
discussed in detail in EPA’s 2004
Particulate Matter Air Quality Criteria
Document (PM AQCD) and the 2005 PM
Staff Paper.198 199 200 Further discussion
of health effects associated with PM can
also be found in the RIA for this rule.
Health effects associated with shortterm exposures (hours to days) to
ambient PM include premature
mortality, aggravation of cardiovascular
and lung disease (as indicated by
198 U.S. EPA (2004). Air Quality Criteria for
Particulate Matter. Volume I EPA600/P–99/002aF
and Volume II EPA600/P–99/002bF. Retrieved on
March 19, 2009 from Docket EPA–HQ–OAR–2003–
0190 at https://www.regulations.gov/.
199 U.S. EPA. (2005). Review of the National
Ambient Air Quality Standard for Particulate
Matter: Policy Assessment of Scientific and
Technical Information, OAQPS Staff Paper. EPA–
452/R–05–005a. Retrieved March 19, 2009 from
https://www.epa.gov/ttn/naaqs/standards/pm/data/
pmstaffpaper_20051221.pdf.
200 The PM NAAQS is currently under review and
the EPA is considering all available science on PM
health effects, including information which has
been published since 2004, in the development of
the upcoming PM Integrated Science Assessment
Document (ISA). A second draft of the PM ISA was
completed in July 2009 and was submitted for
review by the Clean Air Scientific Advisory
Committee (CASAC) of EPA’s Science Advisory
Board. Comments from the general public have also
been requested. For more information, see https://
cfpub.epa.gov/ncea/cfm/recordisplay.
cfm?deid=210586.
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mstockstill on DSKH9S0YB1PROD with RULES2
increased hospital admissions and
emergency department visits), increased
respiratory symptoms including cough
and difficulty breathing, decrements in
lung function, altered heart rate rhythm,
and other more subtle changes in blood
markers related to cardiovascular
health.201 Long-term exposure to PM2.5
and sulfates has also been associated
with mortality from cardiopulmonary
disease and lung cancer, and effects on
the respiratory system such as reduced
lung function growth or development of
respiratory disease. A new analysis
shows an association between long-term
PM2.5 exposure and a subclinical
measure of atherosclerosis.202 203
Studies examining populations
exposed over the long term (one or more
years) to different levels of air pollution,
including the Harvard Six Cities Study
and the American Cancer Society Study,
show associations between long-term
exposure to ambient PM2.5 and both all
cause and cardiopulmonary premature
mortality.204 205 206 In addition, an
201 U.S. EPA. (2006). National Ambient Air
Quality Standards for Particulate Matte. 71 FR
61144, October 17, 2006.
202 Kunzli, N., Jerrett, M., Mack, W.J., et al.
¨
(2004). Ambient air pollution and atherosclerosis in
Los Angeles. Environ Health Perspect.,113, 201–
206.
203 This study is included in the 2006 Provisional
Assessment of Recent Studies on Health Effects of
Particulate Matter Exposure. The provisional
assessment did not and could not (given a very
short timeframe) undergo the extensive critical
review by CASAC and the public, as did the PM
AQCD. The provisional assessment found that the
‘‘new’’ studies expand the scientific information and
provide important insights on the relationship
between PM exposure and health effects of PM. The
provisional assessment also found that ‘‘new’’
studies generally strengthen the evidence that acute
and chronic exposure to fine particles and acute
exposure to thoracic coarse particles are associated
with health effects. Further, the provisional science
assessment found that the results reported in the
studies did not dramatically diverge from previous
findings, and taken in context with the findings of
the AQCD, the new information and findings did
not materially change any of the broad scientific
conclusions regarding the health effects of PM
exposure made in the AQCD. However, it is
important to note that this assessment was limited
to screening, surveying, and preparing a provisional
assessment of these studies. For reasons outlined in
Section I.C of the preamble for the final PM NAAQS
rulemaking in 2006 (see 71 FR 61148–49, October
17, 2006), EPA based its NAAQS decision on the
science presented in the 2004 AQCD.
204 Dockery, D.W., Pope, C.A. III, Xu, X, et al.
(1993). An association between air pollution and
mortality in six U.S. cities. N Engl J Med, 329,
1753–1759. Retrieved on March 19, 2009 from
https://content.nejm.org/cgi/content/full/329/24/
1753.
205 Pope, C.A., III, Thun, M.J., Namboodiri, M.M.,
Dockery, D.W., Evans, J.S., Speizer, F.E., and Heath,
C.W., Jr. (1995). Particulate air pollution as a
predictor of mortality in a prospective study of U.S.
adults. Am. J. Respir. Crit. Care Med, 151, 669–674.
206 Krewski, D., Burnett, R.T., Goldberg, M.S., et
al. (2000). Reanalysis of the Harvard Six Cities
study and the American Cancer Society study of
particulate air pollution and mortality. A special
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extension of the American Cancer
Society Study shows an association
between PM2.5 and sulfate
concentrations and lung cancer
mortality.207
2. Ozone
a. Background
Ground-level ozone pollution is
typically formed by the reaction of VOC
and NOX in the lower atmosphere in the
presence of heat and sunlight. These
pollutants, often referred to as ozone
precursors, are emitted by many types of
pollution sources, such as highway and
nonroad motor vehicles and engines,
power plants, chemical plants,
refineries, makers of consumer and
commercial products, industrial
facilities, and smaller area sources.
The science of ozone formation,
transport, and accumulation is
complex.208 Ground-level ozone is
produced and destroyed in a cyclical set
of chemical reactions, many of which
are sensitive to temperature and
sunlight. When ambient temperatures
and sunlight levels remain high for
several days and the air is relatively
stagnant, ozone and its precursors can
build up and result in more ozone than
typically occurs on a single hightemperature day. Ozone can be
transported hundreds of miles
downwind from precursor emissions,
resulting in elevated ozone levels even
in areas with low local VOC or NOX
emissions.
b. Health Effects of Ozone
The health and welfare effects of
ozone are well documented and are
assessed in EPA’s 2006 Air Quality
Criteria Document (ozone AQCD) and
2007 Staff Paper.209 210 Ozone can
report of the Institute’s Particle Epidemiology
Reanalysis Project. Cambridge, MA: Health Effects
Institute. Retrieved on March 19, 2009 from
https://es.epa.gov/ncer/science/pm/hei/ReanExecSumm.pdf.
207 Pope, C. A., III, Burnett, R.T., Thun, M. J.,
Calle, E.E., Krewski, D., Ito, K., Thurston, G.D.,
(2002). Lung cancer, cardiopulmonary mortality,
and long-term exposure to fine particulate air
pollution. J. Am. Med. Assoc., 287, 1132–1141.
208 U.S. EPA. (2006). Air Quality Criteria for
Ozone and Related Photochemical Oxidants (Final).
EPA/600/R–05/004aF–cF. Washington, DC: U.S.
EPA. Retrieved on March 19, 2009 from Docket
EPA–HQ–OAR–2003–0190 at https://
www.regulations.gov/.
209 U.S. EPA. (2006). Air Quality Criteria for
Ozone and Related Photochemical Oxidants (Final).
EPA/600/R–05/004aF–cF. Washington, DC: U.S.
EPA. Retrieved on March 19, 2009 from Docket
EPA–HQ–OAR–2003–0190 at https://
www.regulations.gov/.
210 U.S. EPA. (2007). Review of the National
Ambient Air Quality Standards for Ozone: Policy
Assessment of Scientific and Technical
Information, OAQPS Staff Paper. EPA–452/R–07–
003. Washington, DC, U.S. EPA. Retrieved on
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14809
irritate the respiratory system, causing
coughing, throat irritation, and/or
uncomfortable sensation in the chest.
Ozone can reduce lung function and
make it more difficult to breathe deeply;
breathing may also become more rapid
and shallow than normal, thereby
limiting a person’s activity. Ozone can
also aggravate asthma, leading to more
asthma attacks that require medical
attention and/or the use of additional
medication. In addition, there is
suggestive evidence of a contribution of
ozone to cardiovascular-related
morbidity and highly suggestive
evidence that short-term ozone exposure
directly or indirectly contributes to nonaccidental and cardiopulmonary-related
mortality, but additional research is
needed to clarify the underlying
mechanisms causing these effects. In a
recent report on the estimation of ozonerelated premature mortality published
by the National Research Council (NRC),
a panel of experts and reviewers
concluded that short-term exposure to
ambient ozone is likely to contribute to
premature deaths and that ozone-related
mortality should be included in
estimates of the health benefits of
reducing ozone exposure.211 Animal
toxicological evidence indicates that
with repeated exposure, ozone can
inflame and damage the lining of the
lungs, which may lead to permanent
changes in lung tissue and irreversible
reductions in lung function. People who
are more susceptible to effects
associated with exposure to ozone can
include children, the elderly, and
individuals with respiratory disease
such as asthma. Those with greater
exposures to ozone, for instance due to
time spent outdoors (e.g., children and
outdoor workers), are of particular
concern.
The 2006 ozone AQCD also examined
relevant new scientific information that
has emerged in the past decade,
including the impact of ozone exposure
on such health effects as changes in
lung structure and biochemistry,
inflammation of the lungs, exacerbation
and causation of asthma, respiratory
illness-related school absence, hospital
admissions and premature mortality.
Animal toxicological studies have
suggested potential interactions between
ozone and PM with increased responses
observed to mixtures of the two
pollutants compared to either ozone or
PM alone. The respiratory morbidity
observed in animal studies along with
March 19, 2009 from Docket EPA–HQ–OAR–2003–
0190 at https://www.regulations.gov/.
211 National Research Council (NRC), 2008.
Estimating Mortality Risk Reduction and Economic
Benefits from Controlling Ozone Air Pollution. The
National Academies Press: Washington, DC.
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
the evidence from epidemiologic studies
supports a causal relationship between
acute ambient ozone exposures and
increased respiratory-related emergency
room visits and hospitalizations in the
warm season. In addition, there is
suggestive evidence of a contribution of
ozone to cardiovascular-related
morbidity and non-accidental and
cardiopulmonary mortality.
3. NOX and SOX
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a. Background
Nitrogen dioxide (NO2) is a member of
the NOX family of gases. Most NO2 is
formed in the air through the oxidation
of nitric oxide (NO) emitted when fuel
is burned at a high temperature. SO2, a
member of the sulfur oxide (SOX) family
of gases, is formed from burning fuels
containing sulfur (e.g., coal or oil
derived), extracting gasoline from oil, or
extracting metals from ore.
SO2 and NO2 can dissolve in water
vapor and further oxidize to form
sulfuric and nitric acid which react with
ammonia to form sulfates and nitrates,
both of which are important
components of ambient PM. The health
effects of ambient PM are discussed in
Section VI.D.1 of this preamble. NOX
along with non-methane hydrocarbon
(NMHC) are the two major precursors of
ozone. The health effects of ozone are
covered in Section VI.D.2.
b. Health Effects of NOX
Information on the health effects of
NO2 can be found in the U.S.
Environmental Protection Agency
Integrated Science Assessment (ISA) for
Nitrogen Oxides.212 The U.S. EPA has
concluded that the findings of
epidemiologic, controlled human
exposure, and animal toxicological
studies provide evidence that is
sufficient to infer a likely causal
relationship between respiratory effects
and short-term NO2 exposure. The ISA
concludes that the strongest evidence
for such a relationship comes from
epidemiologic studies of respiratory
effects including symptoms, emergency
department visits, and hospital
admissions. The ISA also draws two
broad conclusions regarding airway
responsiveness following NO2 exposure.
First, the ISA concludes that NO2
exposure may enhance the sensitivity to
allergen-induced decrements in lung
function and increase the allergeninduced airway inflammatory response
following 30-minute exposures of
212 U.S.
EPA (2008). Integrated Science
Assessment for Oxides of Nitrogen—Health Criteria
(Final Report). EPA/600/R–08/071. Washington,
DC,: U.S.EPA. Retrieved on March 19, 2009 from
https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?
deid=194645.
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asthmatics to NO2 concentrations as low
as 0.26 ppm. In addition, small but
significant increases in non-specific
airway hyperresponsiveness were
reported following 1-hour exposures of
asthmatics to 0.1 ppm NO2. Second,
exposure to NO2 has been found to
enhance the inherent responsiveness of
the airway to subsequent nonspecific
challenges in controlled human
exposure studies of asthmatic subjects.
Enhanced airway responsiveness could
have important clinical implications for
asthmatics since transient increases in
airway responsiveness following NO2
exposure have the potential to increase
symptoms and worsen asthma control.
Together, the epidemiologic and
experimental data sets form a plausible,
consistent, and coherent description of
a relationship between NO2 exposures
and an array of adverse health effects
that range from the onset of respiratory
symptoms to hospital admission.
Although the weight of evidence
supporting a causal relationship is
somewhat less certain than that
associated with respiratory morbidity,
NO2 has also been linked to other health
endpoints. These include all-cause
(nonaccidental) mortality, hospital
admissions or emergency department
visits for cardiovascular disease, and
decrements in lung function growth
associated with chronic exposure.
c. Health Effects of SOX
Information on the health effects of
SO2 can be found in the U.S.
Environmental Protection Agency
Integrated Science Assessment for
Sulfur Oxides.213 SO2 has long been
known to cause adverse respiratory
health effects, particularly among
individuals with asthma. Other
potentially sensitive groups include
children and the elderly. During periods
of elevated ventilation, asthmatics may
experience symptomatic
bronchoconstriction within minutes of
exposure. Following an extensive
evaluation of health evidence from
epidemiologic and laboratory studies,
the EPA has concluded that there is a
causal relationship between respiratory
health effects and short-term exposure
to SO2. Separately, based on an
evaluation of the epidemiologic
evidence of associations between shortterm exposure to SO2 and mortality, the
EPA has concluded that the overall
evidence is suggestive of a causal
213 U.S. EPA. (2008). Integrated Science
Assessment (ISA) for Sulfur Oxides—Health
Criteria (Final Report). EPA/600/R–08/047F.
Washington, DC: U.S. Environmental Protection
Agency. Retrieved on March 18, 2009 from
https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?
deid=198843.
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relationship between short-term
exposure to SO2 and mortality.
4. Carbon Monoxide
Carbon monoxide (CO) forms as a
result of incomplete fuel combustion.
CO enters the bloodstream through the
lungs, forming carboxyhemoglobin and
reducing the delivery of oxygen to the
body’s organs and tissues. The health
threat from exposures to lower levels of
CO is most serious for those who suffer
from cardiovascular disease,
particularly those with angina or
peripheral vascular disease.
Epidemiological studies have suggested
that exposure to ambient levels of CO is
associated with increased risk of
hospital admissions for cardiovascular
causes, fetal effects, and possibly
premature cardiovascular mortality.
Healthy individuals also are affected,
but only when they are exposed to
higher CO levels. Exposure of healthy
individuals to elevated CO levels is
associated with impairment of visual
perception, work capacity, manual
dexterity, learning ability and
performance of complex tasks. Carbon
monoxide also contributes to ozone
nonattainment since carbon monoxide
reacts photochemically in the
atmosphere to form ozone.214
Additional information on CO related
health effects can be found in the
Carbon Monoxide Air Quality Criteria
Document (CO AQCD).215 216
5. Air Toxics
The population experiences an
elevated risk of cancer and noncancer
health effects from exposure to the class
of pollutants known collectively as ‘‘air
toxics.’’217 Fuel combustion contributes
to ambient levels of air toxics that can
include, but are not limited to,
acetaldehyde, acrolein, benzene, 1,3butadiene, formaldehyde, ethanol,
naphthalene and peroxyacetyl nitrate
214 U.S. EPA (2000). Air Quality Criteria for
Carbon Monoxide, EPA/600/P–99/001F. This
document is available in Docket EPA–HQ–OAR–
2004–0008.
215 U.S. EPA (2000). Air Quality Criteria for
Carbon Monoxide, EPA/600/P–99/001F. This
document is available in Docket EPA–HQ–OAR–
2004–0008.
216 The CO NAAQS is currently under review and
the EPA is considering all available science on CO
health effects, including information which has
been published since 2000, in the development of
the upcoming CO Integrated Science Assessment
Document (ISA). A second draft of the CO ISA was
completed in September 2009 and was submitted
for review by the Clean Air Scientific Advisory
Committee (CASAC) of EPA’s Science Advisory
Board. For more information, see https://
cfpub.epa.gov/ncea/cfm/recordisplay.
cfm?deid=213229.
217 U. S. EPA. 2002 National-Scale Air Toxics
Assessment. https://www.epa.gov/ttn/atw/nata2002/
risksum.html.
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(PAN). Acrolein, benzene, 1,3butadiene, formaldehyde and
naphthalene have significant
contributions from mobile sources and
were identified as national or regional
risk drivers in the 2002 National-scale
Air Toxics Assessment (NATA).218
PAN, which is formed from precursor
compounds by atmospheric processes,
is not assessed in NATA. Emissions and
ambient concentrations of compounds
are discussed in Chapter 3 of the RIA
and Section VI.D.3 of this preamble.
a. Acetaldehyde
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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.219 Acetaldehyde is reasonably
anticipated to be a human carcinogen by
the U.S. DHHS in the 11th Report on
Carcinogens and is classified as possibly
carcinogenic to humans (Group 2B) by
the IARC.220 221 EPA is currently
conducting a reassessment of cancer risk
from inhalation exposure to
acetaldehyde.
The primary noncancer effects of
exposure to acetaldehyde vapors
include irritation of the eyes, skin, and
respiratory tract.222 In short-term (4
week) rat studies, degeneration of
olfactory epithelium was observed at
various concentration levels of
acetaldehyde exposure.223 224 Data from
these studies were used by EPA to
develop an inhalation reference
concentration. Some asthmatics have
been shown to be a sensitive
218 U.S. EPA .2009. National-Scale Air Toxics
Assessment for 2002. https://www.epa.gov/ttn/atw/
nata2002.
219 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://www.epa.gov/iris/
subst/0290.htm.
220 U.S. Department of Health and Human
Services National Toxicology Program 11th Report
on Carcinogens available at: ntp.niehs.nih.gov/
index.cfm?objectid=32BA9724–F1F6–975E–
7FCE50709CB4C932.
221 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.
222 U.S. EPA. 1991. Integrated Risk Information
System File of Acetaldehyde. This material is
available electronically at https://www.epa.gov/iris/
subst/0290.htm.
223 Appleman, L. M., R. A. Woutersen, V. J. Feron,
R. N. Hooftman, and W. R. F. Notten. 1986. Effects
of the variable versus fixed exposure levels on the
toxicity of acetaldehyde in rats. J. Appl. Toxicol. 6:
331–336.
224 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.
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subpopulation to decrements in
functional expiratory volume (FEV1
test) and bronchoconstriction upon
acetaldehyde inhalation.225 The agency
is currently conducting a reassessment
of the health hazards from inhalation
exposure to acetaldehyde.
b. Acrolein
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.226 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.227 Evidence
available from 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.228 Lesions to the
lungs and upper respiratory tract of rats,
rabbits, and hamsters have been
observed after subchronic exposure to
acrolein.229 Acute exposure effects in
animal studies report bronchial hyperresponsiveness.230 In a recent study, the
acute respiratory irritant effects of
exposure to 1.1 ppm acrolein were more
pronounced in mice with allergic
airway disease by comparison to nondiseased mice which also showed
225 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): 940–3.
226 Sim VM, Pattle RE. Effect of possible smog
irritants on human subjects JAMA165: 1980–2010,
1957.
227 U.S. EPA (U.S. Environmental Protection
Agency). (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://
www.epa.gov/ncea/iris.
228 Weber-Tschopp, A; Fischer, T; Gierer, R; et al.
(1977) Experimentelle reizwirkungen von Acrolein
auf den Menschen. Int Arch Occup Environ Hlth
40(2):117–130. In German
229 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.
230 U.S. EPA (U.S. Environmental Protection
Agency). (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://
www.epa.gov/ncea/iris.
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decreases in respiratory rate.231 Based
on animal data, 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 determined in 2003 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.232 The IARC
determined in 1995 that acrolein was
not classifiable as to its carcinogenicity
in humans.233
c. Benzene
The EPA’s 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.234 235 236 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. The
International Agency for Research on
Carcinogens (IARC) has determined that
benzene is a human carcinogen and the
U.S. Department of Health and Human
Services (DHHS) has characterized
231 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.
232 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://www.epa.gov/iris/subst/
0364.htm.
233 International Agency for Research on Cancer
(IARC). 1995. Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
63, Dry cleaning, some chlorinated solvents and
other industrial chemicals , World Health
Organization, Lyon, France.
234 U.S. EPA. 2000. Integrated Risk Information
System File for Benzene. This material is available
electronically at https://www.epa.gov/iris/subst/
0276.htm.
235 International Agency for Research on Cancer
(IARC). 1982. Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
29, Some industrial chemicals and dyestuffs, World
Health Organization, Lyon, France, p. 345–389.
236 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.
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benzene as a known human
carcinogen.237 238
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.239 240
The most sensitive noncancer effect
observed in humans, based on current
data, is the depression of the absolute
lymphocyte count in blood.241 242 In
addition, recent work, including studies
sponsored by the Health Effects Institute
(HEI), provides evidence that
biochemical responses are occurring at
lower levels of benzene exposure than
previously known.243 244 245 246 EPA’s
IRIS program has not yet evaluated
these new data.
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d. 1,3–Butadiene
EPA has characterized 1,3-butadiene
as carcinogenic to humans by
inhalation.247 248 The IARC has
237 International Agency for Research on Cancer
(IARC). 1987. Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
29, Supplement 7, Some industrial chemicals and
dyestuffs, World Health Organization, Lyon, France.
238 U.S. Department of Health and Human
Services National Toxicology Program 11th Report
on Carcinogens available at: https://ntp.
niehs.nih.gov/go/16183.
239 Aksoy, M. (1989). Hematotoxicity and
carcinogenicity of benzene. Environ. Health
Perspect. 82: 193–197.
240 Goldstein, B.D. (1988). Benzene toxicity.
Occupational medicine. State of the Art Reviews. 3:
541–554.
241 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.
242 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://www.epa.gov/iris/subst/0276.htm.
243 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.
244 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.
245 Lan, Qing, Zhang, L., Li, G., Vermeulen, R., et
al. (2004) Hematotoxically in Workers Exposed to
Low Levels of Benzene. Science 306: 1774–1776.
246 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.
247 U.S. EPA (2002) Health Assessment of 1,3–
Butadiene. 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.249 250 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. 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.251
e. Ethanol
EPA is conducting an assessment of
the cancer and noncancer effects of
exposure to ethanol, a compound which
is not currently listed in EPA’s IRIS. A
description of these effects to the extent
that information is available will be
presented, as required by Section 1505
of EPAct, in a Report to Congress on
public health, air quality and water
resource impacts of fuel additives. We
expect to release that report in 2010.
Extensive data are available regarding
adverse health effects associated with
the ingestion of ethanol while data on
inhalation exposure effects are sparse.
Washington Office, Washington, DC. Report No.
EPA600–P–98–001F. This document is available
electronically at https://www.epa.gov/iris/supdocs/
buta-sup.pdf.
248 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://www.epa.gov/iris/subst/0139.htm.
249 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 and Volume 97
(in preparation), World Health Organization, Lyon,
France.
250 U.S. Department of Health and Human
Services (2005) National Toxicology Program 11th
Report on Carcinogens available at: ntp.niehs.
nih.gov/index.cfm?objectid=32BA9724–F1F6–975E–
7FCE50709CB4C932.
251 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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As part of the IRIS assessment,
pharmacokinetic models are being
evaluated as a means of extrapolating
across species (animal to human) and
across exposure routes (oral to
inhalation) to better characterize the
health hazards and dose-response
relationships for low levels of ethanol
exposure in the environment.
The IARC has classified ‘‘alcoholic
beverages’’ as carcinogenic to humans
based on sufficient evidence that
malignant tumors of the mouth,
pharynx, larynx, esophagus, and liver
are causally related to the consumption
of alcoholic beverages.252 The U.S.
DHHS in the 11th Report on
Carcinogens also identified ‘‘alcoholic
beverages’’ as a known human
carcinogen (they have not evaluated the
cancer risks specifically from exposure
to ethanol), with evidence for cancer of
the mouth, pharynx, larynx, esophagus,
liver and breast.253 There are no studies
reporting carcinogenic effects from
inhalation of ethanol. EPA is currently
evaluating the available human and
animal cancer data to identify which
cancer type(s) are the most relevant to
an assessment of risk to humans from a
low-level oral and inhalation exposure
to ethanol.
Noncancer health effects data are
available from animal studies as well as
epidemiologic studies. The
epidemiologic data are obtained from
studies of alcoholic beverage
consumption. Effects include
neurological impairment,
developmental effects, cardiovascular
effects, immune system depression, and
effects on the liver, pancreas and
reproductive system.254 There is
evidence that children prenatally
exposed via mothers’ ingestion of
alcoholic beverages during
pregnancy are at increased risk of
hyperactivity and attention deficits,
impaired motor coordination, a lack of
regulation of social behavior or poor
psychosocial functioning, and deficits
in cognition, mathematical ability,
verbal fluency, and spatial
252 International Agency for Research on Cancer
(IARC). 1988. Monographs on the evaluation of
carcinogenic risk of chemicals to humans, Volume
44, Alcohol Drinking, World Health Organization,
Lyon, France.
253 U.S. Department of Health and Human
Services. 2005. National Toxicology Program 11th
Report on Carcinogens available at: ntp.niehs.
nih.gov/index.cfm?objectid=32BA9724–F1F6–975E–
7FCE50709CB4C932.
254 U.S. Department of Health and Human
Services. 2000. 10th Special Report to the U.S.
Congress on Alcohol and Health. June. 2000.
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memory.255 256 257 258 259 260 261 262 In some
people, genetic factors influencing the
metabolism of ethanol can lead to
differences in internal levels of ethanol
and may render some subpopulations
more susceptible to risks from the
effects of ethanol.
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f. Formaldehyde
Since 1987, EPA has classified
formaldehyde as a probable human
carcinogen based on evidence in
humans and in rats, mice, hamsters, and
monkeys.263 EPA is currently reviewing
recently published epidemiological
data. For instance, research conducted
by the National Cancer Institute (NCI)
found an increased risk of
nasopharyngeal cancer and
lymphohematopoietic malignancies
such as leukemia among workers
exposed to formaldehyde.264 265 In an
analysis of the lymphohematopoietic
cancer mortality from an extended
follow-up of these workers, NCI
confirmed an association between
lymphohematopoietic cancer risk and
peak exposures.266 A recent National
255 Goodlett CR, KH Horn, F Zhou. 2005. Alcohol
teratogeniesis: mechanisms of damage and
strategies for intervention. Exp. Biol. Med. 230:394–
406.
256 Riley EP, CL McGee. 2005. Fetal alcohol
spectrum disorders: an overview with emphasis on
changes in brain and behavior. Exp. Biol. Med.
230:357–365.
257 Zhang X, JH Sliwowska, J Weinberg. 2005.
Prenatal alcohol exposure and fetal programming:
effects on neuroendocrine and immune function.
Exp. Biol. Med. 230:376–388.
258 Riley EP, CL McGee, ER Sowell. 2004.
Teratogenic effects of alcohol: a decade of brain
imaging. Am. J. Med. Genet. Part C: Semin. Med.
Genet. 127:35–41.
259 Gunzerath L, V Faden, S Zakhari, K Warren.
2004. National Institute on Alcohol Abuse and
Alcoholism report on moderate drinking. Alcohol.
Clin. Exp. Res. 28:829–847.
260 World Health Organization (WHO). 2004.
Global status report on alcohol 2004. Geneva,
Switzerland: Department of Mental Health and
Substance Abuse. Available: https://www.who.int/
substance_abuse/publications/global_status_
report_2004_overview.pdf
261 Chen W–JA, SE Maier, SE Parnell, FR West.
2003. Alcohol and the developing brain:
neuroanatomical studies. Alcohol Res. Health
27:174–180.
262 Driscoll CD, AP Streissguth, EP Riley. 1990.
Prenatal alcohol exposure comparability of effects
in humans and animal models. Neurotoxicol.
Teratol. 12:231–238.
263 U.S. EPA (1987) Assessment of Health Risks
to Garment Workers and Certain Home Residents
from Exposure to Formaldehyde, Office of
Pesticides and Toxic Substances, April 1987.
264 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.
265 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.
266 Beane Freeman, L. E.; Blair, A.; Lubin, J. H.;
Stewart, P. A.; Hayes, R. B.; Hoover, R. N.;
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Institute of Occupational Safety and
Health (NIOSH) study of garment
workers also found increased risk of
death due to leukemia among workers
exposed to formaldehyde.267 Extended
follow-up of a cohort of British chemical
workers did not find evidence of an
increase in nasopharyngeal or
lymphohematopoietic cancers, but a
continuing statistically significant
excess in lung cancers was reported.268
Recently, the IARC re-classified
formaldehyde as a human carcinogen
(Group 1).269
Formaldehyde exposure also causes a
range of noncancer health effects,
including irritation of the eyes (burning
and watering of the eyes), nose and
throat. Effects from repeated exposure in
humans include respiratory tract
irritation, chronic bronchitis and nasal
epithelial lesions such as metaplasia
and loss of cilia. Animal studies suggest
that formaldehyde may also cause
airway inflammation—including
eosinophil infiltration into the airways.
There are several studies that suggest
that formaldehyde may increase the risk
of asthma—particularly in the
young.270 271
g. Peroxyacetyl nitrate (PAN)
Peroxyacetyl nitrate (PAN) has not
been evaluated by EPA’s IRIS program.
Information regarding the potential
carcinogenicity of PAN is limited. As
noted in the EPA air quality criteria
document for ozone and related
photochemical oxidants, cytogenetic
studies indicate that PAN is not a potent
mutagen, clastogen (a compound that
can cause breaks in chromosomes), or
Hauptmann, M. 2009. Mortality from
lymphohematopoietic malignancies among workers
in formaldehyde industries: The National Cancer
Institute cohort. J. National Cancer Inst. 101: 751–
761.
267 Pinkerton, L. E. 2004. Mortality among a
cohort of garment workers exposed to
formaldehyde: an update. Occup. Environ. Med. 61:
193–200.
268 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.
269 International Agency for Research on Cancer
(IARC). 2006. Formaldehyde, 2–Butoxyethanol and
1-tert-Butoxypropan-2-ol. Volume 88. (in
preparation), World Health Organization, Lyon,
France.
270 Agency for Toxic Substances and Disease
Registry (ATSDR). 1999. Toxicological profile for
Formaldehyde. Atlanta, GA: U.S. Department of
Health and Human Services, Public Health Service.
https://www.atsdr.cdc.gov/toxprofiles/tp111.html.
271 WHO (2002) Concise International Chemical
Assessment Document 40: Formaldehyde.
Published under the joint sponsorship of the United
Nations Environment Programme, the International
Labour Organization, and the World Health
Organization, and produced within the framework
of the Inter-Organization Programme for the Sound
Management of Chemicals. Geneva.
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DNA-damaging agent in mammalian
cells either in vivo or in vitro. Some
studies suggest that PAN may be a weak
bacterial mutagen at high concentrations
much higher than exist in present urban
atmospheres.272
Effects of ground-level smog causing
intense eye irritation have been
attributed to photochemical oxidants,
including PAN.273 Animal toxicological
information on the inhalation effects of
the non-ozone oxidants has been limited
to a few studies on PAN. Acute
exposure to levels of PAN can cause
changes in lung morphology, behavioral
modifications, weight loss, and
susceptibility to pulmonary infections.
Human exposure studies indicate minor
pulmonary function effects at high PAN
concentrations, but large interindividual variability precludes
definitive conclusions.274
h. 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. EPA released an
external review draft of a reassessment
of the inhalation carcinogenicity of
naphthalene based on a number of
recent animal carcinogenicity
studies.275 The draft reassessment
completed external peer review.276
Based on external peer review
272 U.S. EPA. 2006. Air quality criteria for ozone
and related photochemical oxidants (Ozone CD).
Research Triangle Park, NC: National Cetner for
Environmental Assesssment; report no. EPA/600/R–
05/004aF–cF.3v. page 5–78 Available at https://
cfpub.epa.gov/ncea/.
273 U.S. EPA Air Quality Criteria for Ozone and
Related Photochemical Oxidants (Final). U.S.
Environmental Protection Agency, Washington, DC,
EPA 600/R–05/004aF–cF, 2006. page 5–63. This
document is available in Docket EPA–HQ–OAR–
2005–0161. This document may be accessed
electronically at: https://www.epa.gov/ttn/naaqs/
standards/ozone/s_o3_cr_cd.html.
274 U.S. EPA Air Quality Criteria for Ozone and
Related Photochemical Oxidants (Final). U.S.
Environmental Protection Agency, Washington, DC,
EPA 600/R–05/004aF–cF, 2006. page 5–78. This
document is available in Docket EPA–HQ–OAR–
2005–0161. This document may be accessed
electronically at: https://www.epa.gov/ttn/naaqs/
standards/ozone/s_o3_cr_cd.html.
275 U. S. EPA. 2004. 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://www.epa.gov/iris/
subst/0436.htm.
276 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.
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comments received, additional analyses
are being undertaken. This external
review draft does not represent official
agency opinion and was released solely
for the purposes of external peer review
and public comment. The National
Toxicology Program 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.277
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.278 Naphthalene
also causes a number of chronic noncancer effects in animals, including
abnormal cell changes and growth in
respiratory and nasal tissues.279
i. Other Air Toxics
In addition to the compounds
described above, other compounds in
gaseous hydrocarbon and PM emissions
from vehicles will be affected by today’s
final action. Mobile source air toxic
compounds that will potentially be
impacted include ethylbenzene,
polycyclic organic matter,
propionaldehyde, toluene, and xylene.
Information regarding the health effects
of these compounds can be found in
EPA’s IRIS database.280
F. Environmental Effects of Criteria and
Air Toxic Pollutants
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In this section we discuss some of the
environmental effects of PM and its
precursors such as visibility
impairment, atmospheric deposition,
and materials damage and soiling, as
well as environmental effects associated
with the presence of ozone in the
ambient air, such as impacts on plants,
including trees, agronomic crops and
277 National Toxicology Program (NTP). (2004).
11th Report on Carcinogens. Public Health Service,
U.S. Department of Health and Human Services,
Research Triangle Park, NC. Available from:
https://ntp-server.niehs.nih.gov.
278 International Agency for Research on Cancer
(IARC). (2002). Monographs on the Evaluation of
the Carcinogenic Risk of Chemicals for Humans.
Vol. 82. Lyon, France.
279 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://www.epa.gov/iris/
subst/0436.htm.
280 U.S. EPA Integrated Risk Information System
(IRIS) database is available at: https://www.epa.gov/
iris.
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urban ornamentals, and environmental
effects associated with air toxics.
1. Visibility
Visibility can be defined as the degree
to which the atmosphere is transparent
to visible light.281 Airborne particles
degrade visibility by scattering and
absorbing light. 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
2004 PM AQCD as well as the 2005 PM
Staff Paper.282 283
EPA is pursuing a two-part strategy to
address visibility. First, to address the
welfare effects of PM on visibility, EPA
has set secondary PM2.5 standards
which act in conjunction with the
establishment of a regional haze
program. In setting this secondary
standard, EPA has concluded that PM2.5
causes adverse effects on visibility in
various locations, depending on PM
concentrations and factors such as
chemical composition and average
relative humidity. Second, section 169
of the Clean Air Act provides additional
authority to address existing visibility
impairment and prevent future visibility
impairment in the 156 national parks,
forests and wilderness areas categorized
as mandatory class I federal areas (62 FR
38680–81, July 18, 1997).284 In July
281 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 document is
available in Docket EPA–HQ–OAR–2005–0161.
This book can be viewed on the National Academy
Press Web site at https://www.nap.edu/books/
0309048443/html/.
282 U.S. EPA (2004) Air Quality Criteria for
Particulate Matter (Oct 2004), Volume I Document
No. EPA600/P–99/002aF and Volume II Document
No. EPA600/P–99/002bF. This document is
available in Docket EPA–HQ–OAR–2005–0161.
283 U.S. EPA (2005) Review of the National
Ambient Air Quality Standard for Particulate
Matter: Policy Assessment of Scientific and
Technical Information, OAQPS Staff Paper. EPA–
452/R–05–005. This document is available in
Docket EPA–HQ–OAR–2005–0161.
284 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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1999, the regional haze rule (64 FR
35714) was put in place to protect the
visibility in mandatory class I federal
areas. Visibility can be said to be
impaired in both PM2.5 nonattainment
areas and mandatory class I federal
areas.
2. Atmospheric Deposition
Wet and dry deposition of ambient
particulate matter delivers a complex
mixture of metals (e.g., mercury, zinc,
lead, nickel, aluminum, cadmium),
organic compounds (e.g., POM, dioxins,
furans) and inorganic compounds (e.g.,
nitrate, sulfate) to terrestrial and aquatic
ecosystems. The chemical form of the
compounds deposited depends on a
variety of factors including ambient
conditions (e.g., temperature, humidity,
oxidant levels) and the sources of the
material. Chemical and physical
transformations of the compounds occur
in the atmosphere as well as the media
onto which they deposit. These
transformations in turn influence the
fate, bioavailability and potential
toxicity of these compounds.
Atmospheric deposition has been
identified as a key component of the
environmental and human health
hazard posed by several pollutants
including mercury, dioxin and PCBs.285
Adverse impacts on water quality can
occur when atmospheric contaminants
deposit to the water surface or when
material deposited on the land enters a
waterbody through runoff. Potential
impacts of atmospheric deposition to
waterbodies include those related to
both nutrient and toxic inputs. Adverse
effects to human health and welfare can
occur from the addition of excess
nitrogen via atmospheric deposition.
The nitrogen-nutrient enrichment
contributes to toxic algae blooms and
zones of depleted oxygen, which can
lead to fish kills, frequently in coastal
waters. Deposition of heavy metals or
other toxins may lead to the human
ingestion of contaminated fish, human
ingestion of contaminated water,
damage to the marine ecology, and
limits to recreational uses. Several
studies have been conducted in U.S.
coastal waters and in the Great Lakes
Region in which the role of ambient
PM deposition and runoff is
285 U.S. EPA (2000) Deposition of Air Pollutants
to the Great Waters: Third Report to Congress.
Office of Air Quality Planning and Standards. EPA–
453/R–00–0005. This document is available in
Docket EPA–HQ–OAR–2005–0161.
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investigated.286 287 288 289 290
Atmospheric deposition of nitrogen
and sulfur contributes to acidification,
altering biogeochemistry and affecting
animal and plant life in terrestrial and
aquatic ecosystems across the U.S. 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
nutritional value of preferred prey
species, threatening biodiversity 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 include a decline in
sensitive forest tree species, such as red
spruce (Picea rubens) and sugar maple
(Acer saccharum), and a loss of
biodiversity of fishes, zooplankton, and
macro invertebrates.
In addition to the role nitrogen
deposition plays in acidification,
nitrogen deposition also causes
ecosystem nutrient enrichment leading
to eutrophication that alters
biogeochemical cycles. Excess nitrogen
also leads to the loss of nitrogen
sensitive lichen species as they are
outcompeted by invasive grasses as well
as altering the biodiversity of terrestrial
ecosystems, such as grasslands and
meadows. For a broader explanation of
the topics treated here, refer to the
description in Section 3.6.2 of the RIA.
Adverse impacts on soil chemistry
and plant life have been observed for
areas heavily influenced by atmospheric
deposition of nutrients, metals and acid
species, resulting in species shifts, loss
of biodiversity, forest decline and
286 U.S. EPA (2004) National Coastal Condition
Report II. Office of Research and Development/
Office of Water. EPA–620/R–03/002. This document
is available in Docket EPA–HQ–OAR–2005–0161.
287 Gao, Y., E.D. Nelson, M.P. Field, et al. 2002.
Characterization of atmospheric trace elements on
PM2.5 particulate matter over the New York-New
Jersey harbor estuary. Atmos. Environ. 36: 1077–
1086.
288 Kim, G., N. Hussain, J.R. Scudlark, and T.M.
Church. 2000. Factors influencing the atmospheric
depositional fluxes of stable Pb, 210Pb, and 7Be
into Chesapeake Bay. J. Atmos. Chem. 36: 65–79.
289 Lu, R., R.P. Turco, K. Stolzenbach, et al. 2003.
Dry deposition of airborne trace metals on the Los
Angeles Basin and adjacent coastal waters. J.
Geophys. Res. 108(D2, 4074): AAC 11–1 to 11–24.
290 Marvin, C.H., M.N. Charlton, E.J. Reiner, et al.
2002. Surficial sediment contamination in Lakes
Erie and Ontario: A comparative analysis. J. Great
Lakes Res. 28(3): 437–450.
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damage to forest productivity. Potential
impacts also include adverse effects to
human health through ingestion of
contaminated vegetation or livestock (as
in the case for dioxin deposition),
reduction in crop yield, and limited use
of land due to contamination.
Atmospheric deposition of pollutants
can reduce the aesthetic appeal of
buildings and culturally important
articles through soiling, and can
contribute directly (or in conjunction
with other pollutants) to structural
damage by means of corrosion or
erosion. Atmospheric deposition may
affect materials principally by
promoting and accelerating the
corrosion of metals, by degrading paints,
and by deteriorating building materials
such as concrete and limestone.
Particles contribute to these effects
because of their electrolytic,
hygroscopic, and acidic properties, and
their ability to adsorb corrosive gases
(principally sulfur dioxide). The rate of
metal corrosion depends on a number of
factors, including: the deposition rate
and nature of the pollutant; the
influence of the metal protective
corrosion film; the amount of moisture
present; variability in the
electrochemical reactions; the presence
and concentration of other surface
electrolytes; and the orientation of the
metal surface.
3. Plant and Ecosystem Effects of Ozone
Elevated ozone levels contribute to
environmental effects, with impacts to
plants and ecosystems being of most
concern. Ozone can produce both acute
and chronic injury in sensitive species
depending on the concentration level
and the duration of the exposure. Ozone
effects also tend to accumulate over the
growing season of the plant, so that even
low concentrations experienced for a
longer duration have the potential to
create chronic stress on vegetation.
Ozone damage to plants includes visible
injury to leaves and impaired
photosynthesis, both of which can lead
to reduced plant growth and
reproduction, resulting in reduced crop
yields, forestry production, and use of
sensitive ornamentals in landscaping. In
addition, the impairment of
photosynthesis, the process by which
the plant makes carbohydrates (its
source of energy and food), can lead to
a subsequent reduction in root growth
and carbohydrate storage below ground,
resulting in other, more subtle plant and
ecosystems impacts.
These latter impacts include
increased susceptibility of plants to
insect attack, disease, harsh weather,
interspecies competition and overall
decreased plant vigor. The adverse
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14815
effects of ozone on forest and other
natural vegetation can potentially lead
to species shifts and loss from the
affected ecosystems, resulting in a loss
or reduction in associated ecosystem
goods and services. Lastly, 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. The final 2006 Ozone
Air Quality Criteria Document presents
more detailed information on ozone
effects on vegetation and ecosystems.
4. Environmental Effects of Air Toxics
Fuel combustion emissions contribute
to ambient levels of pollutants that
contribute to adverse effects on
vegetation. PAN is a well-established
phytotoxicant causing visible injury to
leaves that can appear as metallic
glazing on the lower surface of leaves
with some leafy vegetables exhibiting
particular sensitivity (e.g., spinach,
lettuce, chard).291 292 293 PAN has been
demonstrated to inhibit photosynthetic
and non-photosynthetic processes in
plants and retard the growth of young
navel orange trees.294 295 In addition to
its oxidizing capability, PAN
contributes nitrogen to forests and other
vegetation via uptake as well as dry and
wet deposition to surfaces. As noted in
Section IX, nitrogen deposition can lead
to saturation of terrestrial ecosystems
and research is needed to understand
the impacts of excess nitrogen
deposition experienced in some areas of
the country on water quality and
ecosystems.296
Volatile organic compounds (VOCs),
some of which are considered air toxics,
have long been suspected to play a role
in vegetation damage.297 In laboratory
experiments, a wide range of tolerance
291 Nouchi I, S Toyama. 1998. Effects of ozone
and peroxyacetyl nitrate on polar lipids and fatty
acids in leaves of morning glory and kidney bean.
Plant Physiol. 87:638–646.
292 Oka E, Y Tagami, T Oohashi, N Kondo. 2004.
A physiological and morphological study on the
injury caused by exposure to the air pollutant,
peroxyacetyl nitrate (PAN), based on the
quantitative assessment of the injury. J Plant Res.
117:27–36.
293 Sun E–J, M–H Huang. 1995. Detection of
peroxyacetyl nitrate at phytotoxic level and its
effects on vegetation in Taiwan. Atmos. Env.
29:2899–2904.
294 Koukol J, WM Dugger, Jr., RL Palmer. 1967.
Inhibitory effect of peroxyacetyl nitrate on cyclic
photophosphorylation by chloroplasts from black
valentine bean leaves. Plant Physiol. 42:1419–1422.
295 Thompson CR, G Kats. 1975. Effects of
ambient concentrations of peroxyacetyl nitrate on
navel orange trees. Env. Sci. Technol. 9:35–38.
296 Bytnerowicz A, ME Fenn. 1995. Nitrogen
deposition in California forests: A Review. Environ.
Pollut. 92:127–146.
297 US EPA. 1991. Effects of organic chemicals in
the atmosphere on terrestrial plants. EPA/600/3–91/
001.
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to VOCs has been observed.298
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.299
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 nitrogen oxides.300 301 302 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.
VII. Impacts on Cost of Renewable
Fuels, Gasoline, and Diesel
We have assessed the impacts of the
renewable fuel volumes required by
EISA on their costs and on the costs of
the gasoline and diesel fuels into which
the renewable fuels will be blended.
More details of feedstock costs are
addressed in Section VIII.A.
A. Renewable Fuel Production Costs
1. Ethanol Production Costs
a. Corn Ethanol
A significant amount of work has
been done in the last decade surveying
and modeling the costs involved in
producing ethanol from corn in order to
serve business and investment purposes
as well as to try to educate energy policy
decisions. Corn ethanol costs for our
work were estimated using models
developed and maintained by USDA.
Their work has been described in a
peer-reviewed journal paper on cost
modeling of the dry-grind corn ethanol
process, and compares well with cost
information found in surveys of existing
plants. 303 304 The USDA models were
adjusted to reflect the energy usage we
anticipate for the average ethanol plant
in 2022 and intermediate years, as well
as the prices of energy and agricultural
commodities as projected by AEO and
the FASOM model respectively.
For our policy case scenario, we used
corn prices of $3.60/bu in 2022 with
corresponding DDGS prices of $124.74/
ton (all 2007$). These estimates are
taken from agricultural economics
modeling work done for this rule using
the Forestry and Agricultural Sector
Optimization Model (see Section
VIII.A).
For natural gas-fired ethanol
production producing dried co-product
(currently describes the largest fraction
of the industry), in the policy case corn
feedstock minus DDGS sale credit
represents about 54% of the final pergallon cost, while utilities, facility,
chemical and enzymes, and labor
comprise about 22%, 13%, 7%, and 4%,
respectively. Thus, the cost of ethanol
production is most sensitive to the
prices of corn and the primary coproduct, DDGS, and relatively
insensitive to economy of scale over the
range of plant sizes typically seen (40–
100 MMgal/yr).
We expect that several process fuels
will be used to produce corn ethanol
(see RIA Section 1.4), which are
presented by their projected 2022
volume production share in Table
VII.A.1–1 and cost impacts for each in
Table VII.A.1–2.305
TABLE VII.A.1–1—PROJECTED 2022 BREAKDOWN OF FUEL TYPES USED TO ESTIMATE PRODUCTION COST OF CORN
ETHANOL, PERCENT SHARE OF TOTAL PRODUCTION VOLUME
Plant type
Fuel type
Total by plant
type
Biomass
%
Coal
%
Natural gas
%
Biogas
%
Coal/Biomass Boiler .......................................................................
Coal/Biomass Boiler + CHP ..........................................................
Natural Gas Boiler .........................................................................
Natural Gas Boiler + CHP .............................................................
11
10
......................
......................
0
4
......................
......................
......................
......................
49
12
......................
......................
14
......................
11
14
63
12
Total by Fuel Type ..................................................................
21
4
61
14
100
All fuels
TABLE VII.A.1–2—PROJECTED 2022 BREAKDOWN OF COST IMPACTS BY FUEL TYPE USED IN ESTIMATING PRODUCTION
COST OF CORN ETHANOL, DOLLARS PER GALLON RELATIVE TO NATURAL GAS BASELINE
Plant type
Fuel type
Biomass a
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Coal/Biomass Boiler .......................................................................
298 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.
299 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.
300 Viskari E–L. 2000. Epicuticular wax of Norway
spruce needles as indicator of traffic pollutant
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+$0.009
Coal
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Natural gas
Biogas b
All fuels
+$0.009
deposition. Water, Air, and Soil Pollut. 121:327–
337.
301 Ugrekhelidze D, F Korte, G Kvesitadze. 1997.
Uptake and transformation of benzene and toluene
by plant leaves. Ecotox. Environ. Safety 37:24–29.
302 Kammerbauer H, H Selinger, R Rommelt, A
Ziegler-Jons, D Knoppik, B Hock. 1987. Toxic
components of motor vehicle emissions for the
spruce Pciea abies. Environ. Pollut. 48:235–243.
303 Kwaitkowski, J.R., Macon, A., Taylor, F.,
Johnston, D.B.; Industrial Crops and Products 23
(2006) 288–296.
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Total by plant
type
304 Shapouri, H., Gallagher, P.; USDA’s 2002
Ethanol Cost-of-Production Survey (published July
2005).
305 Projected fuel mix was taken from Mueller, S.,
Energy Research Center at the University of
Chicago; An Analysis of the Projected Energy Use
of Future Dry Mill Corn Ethanol Plants (2010–
2030); cost estimates were derived from
modifications to the USDA process models.
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14817
TABLE VII.A.1–2—PROJECTED 2022 BREAKDOWN OF COST IMPACTS BY FUEL TYPE USED IN ESTIMATING PRODUCTION
COST OF CORN ETHANOL, DOLLARS PER GALLON RELATIVE TO NATURAL GAS BASELINE—Continued
Plant type
Fuel type
Total by plant
type
Biomass a
Coal
Coal/Biomass Boiler + CHP ..........................................................
Natural Gas Boiler .........................................................................
Natural Gas Boiler + CHP .............................................................
¥0.021
......................
......................
¥0.021
......................
......................
baseline
¥$0.032
+$0.00
Total by Fuel Type ..................................................................
......................
......................
......................
......................
a Assumes
b Assumes
Natural gas
Biogas b
All fuels
¥$0.006
biomass has same plant-delivered cost as coal.
biogas has same plant-delivered cost as natural gas.
In addition to the primary fuel type
used by ethanol production facilities,
we also anticipate new technologies and
efficiency improvements will impact the
cost of ethanol production. More
efficient motors and turbines are
currently under development and are
likely to be adopted by ethanol
producers as ways to lower green house
gas emissions and reduce energy costs.
Several new process technologies,
including corn oil extraction, corn
fractionation, cold starch fermentation,
and ethanol dehydration membranes
will allow ethanol producers to further
reduce energy consumption and
produce higher value co-products.
These technologies are discussed in
sections 1.4.1.3 and 1.5.1.3 of the RIA.
In order to reflect the cost advantages of
ethanol producers using these
technologies the USDA models were
adapted to take into account the capital
costs, lower energy usage, and higher
value co-products that result from the
adoption of these new technologies. The
projected adoption rates of these
technologies, and their impacts on the
production cost of corn ethanol, are
summarized in Table VII.A.1–3 below.
More detail on how the USDA models
were adjusted and the impact this had
on the average price of ethanol
production can be found in section
4.1.1.1 of the RIA.
TABLE VII.A.1–3—PROJECTED COST IMPACTS OR NEW CORN ETHANOL TECHNOLOGIES
Percent of
plants
adopting
technology
(percent)
Technology
Cost impact
(change from
baseline)
Weighted
cost impact
100
22
20
70
5
Baseline .............................
¥$0.066/gal .......................
¥$0.093/gal .......................
¥$0.079/gal .......................
¥$0.064/gal .......................
$0.00/gal
¥$0.015/gal
¥$0.019/gal
¥$0.055/gal
¥$0.003/gal
Total Cost Impact ................................................................................................
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More Efficient Boilers/Motors/Turbines .......................................................................
Raw Starch Hydrolysis ................................................................................................
Corn Fractionation ......................................................................................................
Corn Oil Extraction ......................................................................................................
Membrane Separation ................................................................................................
N/A
N/A .....................................
¥$0.092/gal
Whether or not the distillers grains
and solubles (DGS) are dried also has an
impact on the cost of ethanol
production. Drying the DGS is an energy
intensive process and results in a
significant increase in energy usages as
well as cost. The advantages of dry DGS
are reduced transportation costs and a
product that is less susceptible to
spoilage, and can therefore be sold to a
much wider market. If the DGS can be
sold wet, the cost of ethanol production
can be reduced by $0.083 per gallon. A
2007 survey of ethanol producers
indicated that 37% of DGS were being
sold wet. We anticipate that this
percentage of wet DGS will remain
constant in 2022. The net cost impact of
selling 37% of the DGS wet is an
average cost reduction of $0.031 per
gallon.
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TABLE VII.A.1–4—AVERAGE ETHANOL
COST OF PRODUCTION
Baseline Cost of Production
(Natural Gas, no new technologies, 100% dry DGS).
Fuel Type Cost Impact .............
New Technology Cost Impact ..
DGS Drying Cost Impact ..........
Average Cost of Ethanol Production (2022).
$1.627/gal
¥$0.006/
gal
¥$0.092/
gal
¥$0.031/
gal
$1.499/gal
Based on energy prices from EIA’s
Annual Energy Outlook (AEO) April
2009 updated reference case ($116/bbl
crude oil), we arrive at a production cost
of $1.50/gal. More details on the ethanol
production cost estimates can be found
in Chapter 4 of the RIA. This estimate
represents the full cost to the plant
operator, including purchase of
feedstocks, energy required for
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operations, capital depreciation, labor,
overhead, and denaturant, minus
revenue from sale of co-products. The
capital cost for a 65 MMgal/yr natural
gas fired dry mill plant is estimated at
$97MM (the projected average size of
such plants in 2022).
Similarly, coal and biomass fired
plants were assumed to be 110 MGY in
capacity, with an estimated capital cost
of $184MM.306 Despite the lower
operating costs of coal and biomass fired
plants the higher capital costs result, on
average, ethanol produced in a facility
using coal or biomass as a primary
energy source results in a per-gallon
cost $0.01/gal higher compared to
production using natural gas. See
Chapter 4.1 of the RIA for more details.
306 Capital costs for a natural gas fired plant were
taken from USDA cost model; incremental costs to
use coal as the primary energy source were derived
from conversations with ethanol plant construction
contractors.
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In this cost estimation work, we did
not assume any pelletizing of DDGS.
Pelletizing is expected to improve ease
of shipment to more distant markets,
which may become more important at
the larger volumes projected for the
future. However, while many in
industry are aware of this technology,
those we spoke with are not employing
it in their plants, and do not expect
widespread use in the foreseeable
future. According to USDA’s model,
pelletizing adds $0.035/gal to the
ethanol production cost.
Note that the ethanol production cost
given here does not account for any
subsidies on production or sale of
ethanol, and is independent of the
market price of ethanol.
b. Cellulosic Ethanol
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i. Feedstock Costs
Cellulosic Feedstock Costs
To estimate the cost of producing
cellulosic biofuels, it was first necessary
to estimate the cost of harvesting,
storing, processing and transporting the
feedstocks to the biofuel production
facilities. Ethanol or other cellulosic
biofuels can be produced from crop
residues such as corn stover, wheat,
rice, oat, and barley straw, sugar cane
bagasse, and sorghum, from other
cellulosic plant matter such as forest
thinnings and forest-fuel removal,
pulping residues, and from the
cellulosic portions of municipal solid
waste (MSW).
Our feedstock supply analysis
projected that energy crops would be
the most abundant of the cellulosic
feedstocks, comprising about 49% of the
total biomass feedstock inventory.
Agricultural residues, predominantly
corn stover, make up approximately
36% of the total, followed by MSW at
approximately 15% and forestry residue
at about 1%. At present, there are no
commercial sized cellulosic ethanol
plants in the U.S. Likewise, there are no
commercially proven, fully-integrated
feedstock supply systems dedicated to
providing any of the feedstocks we
mentioned to ethanol facilities of any
size, although certain biomass is
harvested for other purposes. For this
reason, our feedstock cost estimates are
projections and not based on any
existing market data.
Our feedstock costs include an
additional preprocessing cost that many
other feedstock cost estimates do not
include—thus our costs may seem
higher. We used biofuel plant cost
estimates provided by NREL which no
longer includes the cost for finely
grinding the feedstock prior to feeding
it to the biofuel plant. Thus, our
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feedstock costs include an $11 per dry
ton cost to account for the costs of this
grinding operation, regardless of
whether this operation occurs in the
field or at the plant gate.
Crop Residue and Energy Crops
Crop residue harvest is currently a
secondary harvest; that is they are
harvested or gathered only after the
prime crop has been harvested. In most
northern areas, the harvest periods will
be short due to the onset of winter
weather. In some cases, it may be
necessary to gather a full year’s worth of
residue within just a few weeks.
Consequently, to accomplish this
hundreds of pieces of farm equipment
will be required for a few weeks each
year to complete a harvest. Winter
conditions in the South make it
somewhat easier to extend the harvest
periods; in some cases, it may be
possible to harvest a residue on an as
needed basis.
During the corn grain harvest,
generally only the cob and the leaves
above the cob are taken into the
harvester. Thus, the stover harvest
would likely require some portion of the
standing-stalks be mowed or shredded,
following which the entire residue,
including that discharged from the
combine residue-spreader, would need
to be raked. Balers, likely a mix of large
round and large square balers, would
follow the rakes. The bales would then
be removed from the field, usually to
the field-side in the first operation of the
actual harvest, following which they
would then be hauled to a satellite
facility for intermediate storage. For our
analysis we assumed that bales would
then be hauled by truck and trailer to
the processing plant on an as needed
basis.
The small grain straws (wheat, rice,
oats, barley, sorghum) are cut near the
ground at the time of grain harvest and
thus likely won’t require further
mowing or shredding. They will likely
need to be raked into a windrow prior
to baling. Because small grain straws
have been baled and stored for many
years, we don’t expect unusual
requirements for handling these
residues. Their harvest and storage costs
will likely be less than those for corn
stover, but their overall quantity is
much less than corn stover (corn stover
makes up about 68% of all the crop
residues), so we don’t expect their lower
costs to have, individually or
collectively, a huge effect on the overall
feedstock costs. Thus, we project that
for several years, the feedstock costs
will be largely a function of the cost to
harvest, store, and haul corn stover.
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For the crop residues, we relied on
the FASOM agricultural cost model for
farm harvesting and collection costs.
FASOM estimates corn stover would
cost $34.49 per dry ton at the farm gate.
This reflects the cost to mow, rake, bale,
and field haul the bales and replace
nutrients. This farm gate cost could be
lower if new equipment is developed
that would allow the farmer to harvest
the corn stover at the same time as the
corn. Energy crops such as switchgrass
and miscanthus would be harvested,
baled, stored and transported in a
manner very similar to crop residues.
The FASOM model estimates switch
grass, which we are using to be
representative of all energy crops,
would be available at farm side at a cost
of $40.85.
Forestry Residue
Harvest and transport costs for woody
biomass in its different forms vary due
to tract size, tree species, volumes
removed, distance to the wood-using/
storage facility, terrain, road condition,
and many other considerations. There is
a significant variation in these factors
within the United States, so timber
harvest and delivery systems must be
designed to meet constraints at the local
level. Harvesting costs also depend on
the type of equipment used, season in
which the operation occurs, along with
a host of other factors. Much of the
forest residue is already being harvested
by logging operations, or is available
from milling operations. However, the
smaller branches and smaller trees
proposed to be used for biofuel
production are not collected for their
lumber so they are normally left behind.
Thus, this forest residue would have to
be collected and transported out of the
forest, and then most likely chipped
before transport to the biofuel plant.
In general, most operators in the near
future would be expected to chip at
roadside in the forest, blowing the chips
directly into a chip van. When the van
is full it will be hauled to an end user’s
facility and a new van will be moved
into position at the chipper. The process
might change in the future as baling
systems become economically feasible
or as roll-off containers are proven as a
way to handle logging slash. At present,
most of the chipping for biomass
production is done in connection with
forest thinning treatments as part of a
forest fire prevention strategy. The
major problem associated with
collecting logging residues and biomass
from small trees is handling the material
in the forest before it gets to the chipper.
Specially-built balers and roll-off
containers offer some promise to reduce
this cost. Whether the material is
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collected from a forest thinning
operation or a commercial logging
operation, chips from residues will be
dirty and will require screening or some
type of filtration at the end-user’s
facility.307
As with agricultural residues and
energy crops we relied on the FASOM
model for road side costs for forestry
residue. The FASOM model estimates
costs for both hardwood and softwood
logging residues. We anticipate that
forestry residue for the production of
cellulosic biofuels would be a mixture
of both hard and soft woods. In order to
obtain a cost for forest residues to be
used as a feedstock for cellulosic
biofuels we averaged the costs of the
hardwood and softwood logging residue
prices reported by FASOM. This
resulted in a forestry residue price of
$20.79 at the roadside. Note that this
does not include the cost of the grinding
operation that would be required before
the forestry residues can be processed
by the biofuel producer.
Municipal Solid Waste
Millions of tons of municipal solid
waste (MSW) continue to be disposed of
in landfills across the country, despite
recent large gains in waste reduction
and diversion. The biomass fraction of
this total stream represents a potentially
significant resource for renewable
energy (including electricity and
biofuels). Because this waste material is
already being generated, collected and
transported (it would only need to be
transported to a different location), its
use is likely to be less expensive than
other cellulosic feedstocks. One
important difficulty facing those who
plan to use MSW fractions for fuel
production is that in many places, even
today, MSW is a mixture of all types of
wastes, including biomaterials such as
animal fats and grease, tin, iron,
aluminum, and other metals, painted
woods, plastics, and glass. Many of
these materials can’t be used in
biochemical and thermochemical
ethanol production, and, in fact, would
inflate the transportation costs, impede
the operations at the cellulosic ethanol
plant and cause an expensive waste
stream for biofuel producers.
In today’s regulation the definition of
‘‘renewable biomass’’ includes the
separated yard and food waste portion
of MSW. As discussed in Section
III.B.4.d, we are including as part of
separated yard and food waste,
incidental and post-recycled paper and
wood wastes. Thus, firms planning on
using MSW for producing cellulosic
307 Personal Communication, Eini C. Lowell,
Research Scientist, USDA Forest Service
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biofuels will be required to account for
those components of the waste. We offer
three methods for performing such
accounting. One method is ‘‘feedstock
accounting’’ in which the components of
the waste stream are inventoried to
obtain the fraction representing the
portion of the waste stream that
qualifies as renewable biomass. The
second method is that upon verification
that the food and yard waste is
reasonably separated, that 100 percent
of such waste may be counted as
renewable biomass for purpose of
generating RINs. Reasonable separation
is considered to occur where curbside
recycling is implemented, or where
technologies are employed that ensure a
maximum degree of separation,
including but not limited to material
recovery facilities. Under the second
method, the renewable portion of the
fuel so produced must be verified via a
carbon dating method (ASTM D–6866
method) which is specified and
incorporated by reference in today’s
regulation. The third method is the
application of a default fraction of 50%
to be applied to the waste stream
purchased and used by the fuel
producer.
One method for sorting that would
qualify to ensure reasonable separation
has occurred is single stream recycling,
in which the waste is sorted either at a
sorting facility or at the landfill prior to
dumping. There are two prominent
options here. The first is that there is no
sorting at the waste creation site, the
home or business, and thus a single
waste stream must be sorted at the
facility. The second is that the sorting
occurs at the waste collection facility.
The sorting would likely be done by
hand or by automated equipment at the
facility known as material recovery
facilities (MRFs). To do so by hand is
very labor intensive and somewhat
slower than using an automated system.
In most cases the ‘by-hand’ system
produces a slightly cleaner stream, but
the high cost of labor usually makes the
automated system more cost-effective.
Perhaps the best approach for low cost
and a clean stream is the combination
of hand sorting with automated sorting.
Another method is a combination of
the two which requires that there is at
least some sorting at the home or
business which helps to prevent
contamination of the waste material, but
then the final sorting occurs
downstream at a sorting site, or at the
landfill.
We have little data and few estimates
for the cost to sort MSW. One estimate
generated by our Office of Solid Waste
for a combination of mechanically and
manually sorting a single waste stream
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14819
downstream of where the waste is
generated puts the cost in the $20 to $30
per ton range. There is a risk, though,
that the waste stream could still be
contaminated and this would increase
the cost of both transporting the
material and using this material at the
biofuel plant due to the toxic ash
produced which would require disposal
at a toxic waste facility. If a less
contaminated stream is desired it would
probably require sorting at the
generation site—the home or business—
which would likely be more costly since
many more people in society would
then have to be involved and special
trucks would need to be used. Also,
widespread participation is difficult
when a change in human behavior is
required as some may not be so willing
to participate. Offering incentives could
help to speed the transition to curbside
recycling (i.e., charging a fee for
nonsorted waste, or paying a small
amount for sorted tree trimmings and
construction and demolition waste).
Assuming that curbside sorting is
involved, at least in a minor way, total
sorting costs might be in the $30 to $40
per ton range.
These sorting costs would be offset by
the cost savings for not disposing of the
waste material. Most landfills charge
tipping fees, the cost to dump a load of
waste into a landfill. In the United
States, the national average nominal
tipping fee increased fourfold from 1985
to 2000. The real tipping fee almost
doubled, up from a national average (in
1997 dollars) of about $12 per ton in
1985 to just over $30 in 2000. Equally
important, it is apparent that the tipping
fees are much higher in densely
populated regions and for areas along
the U.S. coast. For example, in 2004, the
tipping fees were $9 per ton in Denver
and $97 per ton in Spokane. Statewide
averages also varied widely, from $8 a
ton in New Mexico to $75 in New
Jersey. Tipping fees ranged from $21 to
98 per ton in 2006 for MSW and $18/
ton to $120/ton for construction and
demolition waste. It is likely that the
tipping fees are highest for
contaminated waste that require the
disposal of the waste in more expensive
waste sites that can accept the
contaminated waste as opposed to a
composting site. However, this same
contaminated material would probably
not be desirable to biofuel producers.
Presuming that only the
uncontaminated cellulosic waste (yard
trimmings, building construction and
demolition waste and some paper) is
collected as feedstocks for biofuel
plants, the handling and tipping fees are
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likely much lower, in the $30 per ton
range.308
The wide variance in the cost of many
of these areas affecting the final cost of
MSW as a cellulosic feedstock,
including costs for collecting and
sorting MSW as well as the tipping fees
for disposing of waste materials, makes
approximating the cost of MSW a
difficult task. Rather than attempt to
build a model ourselves that would
estimate the cost of sorted MSW, we
decided to contact several companies
that are currently planning on using
MSW as a feedstock for cellulosic
biofuel production. In confidential
conversations with these companies
they indicated that they believed that
sorted MSW would be available at a
near zero cost. In one case they had
already begun securing MSW sources of
feedstock for future biofuel production
facilities. They indicated to us that
while there would be a significant cost
associated with sorting the MSW, this
would be offset, or nearly so, by income
generated from the sale of recovered
materials (paper, metals, plastics, etc.)
and the avoidance of tipping fees. There
would still, however, be some costs
associated with the transportation and
disposal of materials unfit for the
biofuels production process. Based on
this information, we conservatively
estimate that MSW would be available
for use in a cellulosic biofuel
production process at a cost of $15 per
ton. See section 4.1 of the RIA for
further discussion on the cost of MSW
as a feedstock for cellulosic biofuels
production.
Secondary Storage and Transportation
In addition to the roadside costs cited
in the preceding sections, there will also
be a cost to transport the cellulosic
materials from the farm or forest to the
production facility. We relied on our
own cost analysis to determine the
transportation costs. For MSW we do
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308 We plan on conducting a more thorough
analysis of tipping fees by waste type for the final
rulemaking.
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not anticipate any additional costs to
transport the cellulosic material to the
biofuel production facility if it is
sourced from within the same county as
the production facility. This is because
this material is already being collected
and transported to a sorting center
landfill, and would simply be re-routed
to the production facility.
For agricultural residues, energy
crops, and forestry residue, however,
there will be additional costs associated
with transporting them from the farm or
forest side to the production facility.
These costs are heavily dependent on
the distance that the feedstock must be
transported from the places where it is
produced to the biofuel production
facility. In order to estimate these costs
we created a cost estimating tool that
calculated transportation costs based on
the distance the cellulosic material
would have to be transported from the
farm or forest side to the production
facility. This tool relies on data
provided by the National Agricultural
Statistics Service for information on the
availability and location of agricultural
residue. Information on abandoned crop
land, which was assumed to be the
source of energy crops, was provided by
Elliot Campbell at UC Davis. Data on the
availability and location of forest
residues was provided by the national
forestry service. For more information
on this secondary storage and
transportation cost estimating tool that
we used to estimate transportation costs
see Chapter 4.1 of the RIA.
We also believe that some cellulosic
feedstocks will require secondary
storage. Agricultural residues and
energy crops will generally be harvested
annually, sometimes in time periods as
short as a few weeks in order to
complete the harvest before the onset of
winter weather. The large quantity of
feedstock required for a commercial
scale biofuel production plant makes it
highly unlikely that a year’s worth of
feedstock would be stored at the
production facility. It is also unlikely
that farmers would tolerate the baled
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agricultural residues or energy crops to
be stored on their farms and transported
to the production facility on an as
needed basis unless they were
compensated for the space bales occupy
and damage done to their fields by the
heavy traffic that would be involved in
the collection of this material from their
farms. Bales left exposed to the weather
would also decompose much more
rapidly resulting in a higher cost per ton
of usable cellulosic material to biofuel
producers. This loss would be
minimized if the bales are stored in
covered sheds. Our cost estimating tool
takes these secondary storage costs into
account for agricultural residues and
energy crops. MSW and forestry
residues have no secondary storage
costs as they can be collected and
transported on an as needed basis.
Cellulosic Feedstock Cost Curve
When the various costs described
above are combined, together with the
cost of grinding the cellulosic material
($11/ton), the result is not a single cost,
but rather a cost curve. This is due to
the fact that each feedstock source has
a unique price based on the FASOM
estimate of the cost of production of the
feedstock and the cost of transportation
and secondary storage (if appropriate),
where feedstocks have the lowest total
cost in the parts of the country where
the cellulosic plants are likely to be
located. The cost per ton of feedstock is
lower when the total production of
cellulosic biofuel is low as the cheapest
feedstocks are utilized first. As
cellulosic biofuel production increases,
so does the cost of cellulosic feedstocks,
as more expensive sources of feedstock
are used. The cost curve for cellulosic
feedstocks for the production of up to 16
billion ethanol equivalent gallons of
cellulosic biofuels is shown in Graph
VIII.A.1–1 below. The average cost of
cellulosic feedstock at a production
level of 16 billion ethanol equivalent
gallons is $67.42, and is summarized in
Table VII.A.1–5.
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14821
TABLE VII.A.1–5—SUMMARY OF CELLULOSIC FEEDSTOCK COSTS
Ag Residue
Switchgrass
Forest Residue
36% of Total Feedstock .................
49% of total Feedstock .................
1% of Total Feedstock .................
15% of Total Feedstock
Mowing, Raking, Baling, Hauling,
Nutrients and Farmer Payment
$34.49/ton.
Mowing, Raking, Baling, Hauling,
Nutrients and Farmer Payment
$40.85/ton.
Harvesting, Hauling
Edge, $20.79/ton.
Sorting, Contaminant Removal,
Tipping Fees Avoided, $15/ton
to
MSW
Forest
Hauling to Secondary Storage, Secondary Storage, Hauling to Plant
$21.53/ton (average)
Grinding
$11/ton
ii. Production Costs for Cellulosic
Biofuels
In this section, we discuss the cost to
biochemically and thermochemically
convert cellulosic feedstocks into fuel
ethanol.
mstockstill on DSKH9S0YB1PROD with RULES2
Biochemical Ethanol
The National Renewable Energy
Laboratory has been evaluating the state
of biochemical cellulosic plant
technology over the past decade or so,
and it has identified principal areas for
improvement. In 1999, it released its
first report on the likely design concept
for an nth generation biochemical
cellulosic ethanol plant which projected
the state of technology in some future
year after the improvements were
adopted. In 2002, NREL released a
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follow-up report which delved deeper
into biochemical plant design in areas
that it had identified in the 1999 report
as deserving for additional research.
Again, the 2002 report estimated the
ethanol production cost for an nth
generation biochemical cellulosic
ethanol plant. These reports not only
helped to inform policy makers on the
likely capability and cost for
biochemically converting cellulose to
ethanol, but it helped to inform
biochemical technology researchers on
the most likely technology
improvements that could be
incorporated into these plant designs.
To comply with the RFS 2
requirements, NREL assessed the likely
state of biochemical cellulosic plant
technology for EPA over the years that
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the RFS standard is being phased in.
The specific years assessed by NREL
were 2010, 2015 and 2022. The year
2010 technology essentially represents
the status of today’s biochemical
cellulosic plants. The year 2015
technology captures the expected nearterm improvements including the rapid
improvements being made in enzyme
technology. The year 2022 technology
captures the cost of mature biochemical
cellulosic plant technology. Table
VII.A.1–6 summarizes NREL’s estimated
and projected production costs for
biochemical cellulosic ethanol plant
technology for their projected year 2022
technology in 2007 dollars reflecting a
7 percent before tax rate of return on
investment. The biochemical cellulosic
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$67.42/ton
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ethanol costs are based on a cellulosic
feedstock cost of 67 per dry ton.
TABLE VII.A.1–6—YEAR 2022 BIOCHEMICAL CELLULOSIC ETHANOL PRODUCTION COSTS PROVIDED BY NREL
[2007 dollars and 7% before tax rate of return]
Year technology
2022
Plant Size ..................................................................................................................................................................
MMgal/yr
Capital Cost ...............................................................................................................................................................
$MM
71
199
$MM/yr
c/gal
Capital Cost 7% ROI before taxes ...........................................................................................................................
Fixed Costs ...............................................................................................................................................................
Feedstock Cost .........................................................................................................................................................
Other raw matl. costs ................................................................................................................................................
Enzyme Cost .............................................................................................................................................................
Enzyme nutrients ......................................................................................................................................................
Electricity ...................................................................................................................................................................
Waste disposal ..........................................................................................................................................................
22
8
52
12
5
2
¥12
1
31
12
73
16
8
2
¥16
1
Total Costs .........................................................................................................................................................
90
127
Thermochemical Ethanol
Thermochemical conversion is
another reaction pathway which exists
for converting cellulose to ethanol.
Thermochemical technology is based on
the heat and pressure-based gasification
or pyrolysis of nearly any biomass
feedstock, including those we’ve
highlighted as likely biochemical
feedstocks. The syngas could then be
converted into mixed alcohols,
hydrocarbon fuels, chemicals, and
power. In the case that the syngas is
converted to ethanol, a possible means
for doing so would be to pass the syngas
over a catalyst which converts the
syngas to mixed alcohols—mainly
methanol. The methanol can be reacted
further to ethanol.
NREL has authored a thermochemical
report: Phillips, S Thermochemical
Ethanol via Indirect Gasification and
Mixed Alcohol Synthesis of
Lignocellulosic Biomass; April, 2007,
which already provided a cost estimate.
However, this report only hypothesized
how a thermochemical ethanol plant
could achieve production costs at a very
low cost of $1 per gallon. Rather than
rely on a very aggressively analyzed cost
assessment that may not be achievable
within the timeframe of our program,
EPA contracted NREL to assess the costs
for a thermochemical technology which
produces mixed alcohols for years 2010,
2015 and 2022. Table VII.A.1–7
summarizes NREL’s estimated and
projected production costs for
biochemical cellulosic ethanol plant
technology for their projected year 2022
technology in 2007 dollars reflecting a
7 percent before tax rate of return on
investment. The costs are based on a
cellulosic feedstock cost of 67 per dry
ton.
TABLE VII.A.1–7—YEAR 2022 THERMOCHEMICAL CELLULOSIC PRODUCTION COSTS OF MIXED ALCOHOLS PROVIDED BY
NREL
[2007 dollars and 7% before tax rate of return]
Year technology
2022
Plant Size ..................................................................................................................................................................
MMgal/yr ....................................................................................................................................................................
Capital Cost ...............................................................................................................................................................
$MM
72.7 Total Alcohol.
61.9 Ethanol.
207.
$MM/yr
c/gal
23
13
52
¥13
1
37
21
85
¥21
4
Total Costs ................................................................................................................................................................
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Capital Cost 7% ROI before taxes ...........................................................................................................................
Fixed Costs ...............................................................................................................................................................
Feedstock Cost .........................................................................................................................................................
Coproduct Credit .......................................................................................................................................................
Other Raw Material, Waste Disposal and Catalyst Costs ........................................................................................
76
126
Cost estimates for both biochemical
and thermochemical ethanol pathways
ended up being ultimately identical. For
our cost analysis, we based the
cellulosic ethanol costs on the average
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of the biochemical and thermochemical
cellulosic ethanol costs.
BTL Diesel Fuel
If cellulose is converted to syngas,
rather than converting the syngas to
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mixed alcohols, a Fischer Tropsch
reactor can be added to convert the
syngas to diesel fuel and naphtha. This
technology is commonly termed
biomass-to-liquids (BTL) because of its
similarity to gas-to-liquids and coal-to-
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liquids technology. Diesel fuel’s higher
energy density per gallon than ethanol
and even biodiesel provides it an
inherent advantage over these other
fuels. In addition, BTL diesel fuel can be
more easily distributed from production
to retail outlets and used by motor
vehicles. The diesel fuel produced by
the Fischer Tropsch process tends to be
comprised of paraffins which provide a
much higher cetane number than
petroleum diesel fuel, with a downside
of poorer cloud point which reduces its
widespread use in cold temperatures.
The naphtha produced by the BTL
process is also largely comprised of
paraffins, however, as a gasoline
blendstock it is poor because of its very
low octane (potentially as low as 50
octane). This material could be
processed by refinery isomerization
units raising its octane to perhaps 70
octane, but it cannot be processed by
refinery reformers since it does not
contain the naphthenic compounds that
are necessary for octane improvement
by those units. Because of the large
amount of octane rich ethanol which is
expected to be made available from both
corn and cellulose, it could be that BTL
naphtha could be blended along with
the ethanol into the gasoline pool.
Rather than prejudge how this naphtha
may be utilized in the future, for our
cost analysis we simply assigned it a
coproduct credit. So we set the BTL
naphtha cost to be 83% as much of the
cost of BTL diesel fuel based on its
relative energy density.
Although there were several studies
available which provided costs
estimates for BTL diesel fuel, they did
not provide sufficient detail to
understand all the cost elements of BTL
diesel fuel and naphtha. EPA therefore
asked NREL to estimate the production
14823
costs for BTL diesel fuel and naphtha.
Like the other technologies, we asked
for cost estimates for the same years
assessed above for cellulosic ethanol
which was for 2010, 2015 and 2022,
however, NREL did not believe that the
costs would change that much over this
time span. So NREL only provided the
costs for 2022, advising us that the costs
would only be slightly less for earlier
years, and most of that difference would
because of the poorer economies of scale
for the initial smaller sized plants.
Table VII.A.1–8 summarizes NREL’s
estimated and projected production
costs for a thermochemical Fischer
Tropsch biochemical cellulosic ethanol
plant technology for their projected year
2022 technology in 2007 dollars
reflecting a 7 percent before tax rate of
return on investment. The costs are
based on a cellulosic feedstock cost of
67 per dry ton.
TABLE VII.A.1–8—YEAR 2022 PRODUCTION COSTS OF THERMOCHEMICAL (BTL) CELLULOSIC FISCHER TROPSCH DIESEL
FUEL PROVIDED BY NREL
[2007 dollars and 7% before tax rate of return]
33.2 Diesel fuel
49.4 all liquid
Plant Size MMgal/yr
Capital Cost $MM ....................................................................................................................................................................
Capital Cost 7% ROI before taxes ($MM/yr) ..........................................................................................................................
Fixed Costs ($MM/yr) ..............................................................................................................................................................
Feedstock Cost ($MM/yr) ........................................................................................................................................................
Coproduct Credit ($MM/yr)a ....................................................................................................................................................
Other raw matl. Costs ($MM/yr) ..............................................................................................................................................
Waste Disposal and Catalyst Costs ($MM/yr) ........................................................................................................................
Total Costs ($MM/yr) ...............................................................................................................................................................
Total Costs (cents/gallon of diesel fuel) ..................................................................................................................................
a Based
on a naphtha coproduct value of 198 cents per gallon.
Other Cellulosic Diesel Fuel Costs
mstockstill on DSKH9S0YB1PROD with RULES2
346
38
18
52
¥32
1.5
1.5
79
237
For our volumes analysis, we
assumed early on for our final rule
analysis that there would likely be
several different cellulosic biofuel
technologies, other than BTL, producing
cellulosic diesel fuel. However, we were
either not able to obtain cost
information from them, or we were
uncertain enough about their future that
we felt that we should not base the cost
of the program on them. For example,
Cello Energy has already built a
cellulosic diesel fuel facility in Alabama
here in the US with projected costs of
about one dollar per gallon of diesel
fuel. However, the facility has had
difficulty operating as designed. As a
result, perhaps very conservatively, we
assumed that the other cellulosic diesel
fuel costs would be the same as the BTL
diesel fuel costs, and used the 237 cents
per gallon cost for BTL diesel fuel for
the entire cost for cellulosic diesel fuel.
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c. Imported Sugarcane Ethanol
We based our imported ethanol fuel
costs on cost estimates of sugarcane
ethanol in Brazil. Generally, ethanol
from sugarcane produced in developing
countries with warm climates is much
cheaper to produce than ethanol from
grain or sugar beets. This is due to
favorable growing conditions, relatively
low cost feedstock and energy inputs,
and other cost reductions gained from
years of experience.
As discussed in Chapter 4 of the RIA,
our literature search of production costs
for sugar cane ethanol in Brazil
indicates that production costs tend to
range from as low as $0.57 per gallon of
ethanol to as high as $1.48 per gallon of
ethanol. This large range for estimating
production costs is partly due to the
significant variations over time in
exchange rates, costs of sugarcane and
oil products, etc. For example, earlier
estimates may underestimate current
crude and natural gas costs which
influence the cost of feedstock as well
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Sfmt 4700
as energy costs at the plant. Another
possible difference in production cost
estimates is whether or not the estimates
are referring to hydrous or anhydrous
ethanol. Costs for anhydrous ethanol
(for blending with gasoline) are
typically several cents per gallon higher
than hydrous ethanol (for use in
dedicated ethanol vehicles in Brazil).309
It is not entirely clear from the majority
of studies whether reported costs are for
hydrous or anhydrous ethanol. Yet
another difference could be the slate of
products the plant is producing, for
example, future plants may be dedicated
ethanol facilities while others involve
the production of both sugar and
ethanol in the same facility. Due to
economies of scale, production costs are
also typically smaller per gallon for
larger facilities.
The study by OECD (2008) entitled
‘‘Biofuels: Linking Support to
309 International Energy Agency (IEA), ‘‘Biofuels
for Transport: An International Perspective,’’ 2004.
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Performance’’, appears to provide the
most recent and detailed set of
assumptions and production costs. As
such, our estimate of sugarcane
production costs primarily relies on the
assumptions made for the study, which
are shown in Table VII.A.1–9. The
estimate assumes an ethanol-dedicated
mill and is based off an internal rate of
return of 12%, a debt/equity ratio of
50% with an 8% interest rate and a
selling of surplus power at $57 per
MWh.
TABLE VII.A.1–9—COST OF PRODUCTION IN A STANDARD ETHANOL PROJECT IN BRAZIL
Sugarcane Productivity .................................................................................................................................
Sugarcane Consumption ..............................................................................................................................
Harvesting days ............................................................................................................................................
Ethanol productivity ......................................................................................................................................
Ethanol Production .......................................................................................................................................
Surplus power produced ...............................................................................................................................
Investment cost in mill ..................................................................................................................................
Investment cost for sugarcane production ...................................................................................................
O & M (Operating & Maintenance) costs .....................................................................................................
Variable sugarcane production costs ...........................................................................................................
Capital costs .................................................................................................................................................
Total production costs ..................................................................................................................................
mstockstill on DSKH9S0YB1PROD with RULES2
The estimate above is based on the
costs of producing ethanol in Brazil on
average, today. However, we are
interested in how the costs of producing
ethanol will change by the year 2022.
Although various cost estimates exist,
analysis of the cost trends over time
shows that the cost of producing ethanol
in Brazil has been steadily declining
due to efficiency improvements in cane
production and ethanol conversion
processes. Between 1980 and 1998 (total
span of 19 years) ethanol cost declined
by approximately 30.8%.310 This change
in the cost of production over time in
Brazil is known as the ethanol cost
‘‘Learning Curve’’.
The change in ethanol costs will
depend on the likely productivity gains
and technological innovations that can
be made in the future. As the majority
of learning may have already occurred,
it is likely that the decline in sugarcane
ethanol costs will be less drastic in the
future as the production process and
cane practices have matured. Industrial
efficiency gains are already at about
85% and are expected to increase to
90% in 2015.311 Most of the
productivity growth is expected to come
from sugarcane production, where
yields are expected to grow from the
current 70 tons/ha, to 96 tons/ha in
2025.312 Sugarcane quality is also
expected to improve, with sucrose
content growing from 14.5% to 17.3%
in 2025.313 All productivity gains
together could allow the increase in the
310 Goldemberg, J. as sited in Rothkopf, Garten, ‘‘A
Blueprint for Green Energy in the Americas,’’ 2006.
311 Unicamp ‘‘A Expansao do Proalcool como
¯
Programa de Desenvolvimento Nacional’’.
Powerpoint presentation at Ethanol Seminar in
BNDES, 2006. As sited in OECD, ‘‘Biofuels: Linking
Support to Performance,’’ ITF Round Tables No.
138, March 2008.
312 Ibid.
313 Ibid.
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14:03 Mar 25, 2010
Jkt 220001
production of ethanol from 6,000 liters/
ha (at 85 liters/ton sugarcane in 2005) to
10,400 liters/ha (at 109 liters/ton
sugarcane) by 2025.314 Although not
reflected here, there could also be cost
and efficiency improvements related to
feedstock collection, storage, and
distribution.
Assuming that ethanol productivity
increases to 100 liters/ton by 2015 and
109 liters/ton by 2025, variable
sugarcane ethanol production costs are
be expected to decrease to
approximately $0.51/gal from $0.64/gal
since less feedstock is needed to
produce the same volume of ethanol
using the estimates from
Table VII.A.1–7, above. We assumed a
linear decrease between data points for
2005, 2015, and 2025. Adding operating
($0.26/gal) and capital costs ($0.49/gal)
from Table VII.A.1–7, to a sugarcane
cost of $0.51/gal, total production costs
are $1.26/gal in 2022.
Brazil sugarcane producers are also
expected to move from burned cane
manual harvesting to mechanical
harvesting. As a result, large amounts of
straw are expected to be available. Costs
of mechanical harvesting are lower
compared to manually harvesting,
therefore, we would expect costs for
sugarcane to decline as greater
sugarcane producers move to
mechanical harvesting. However, diesel
use increases with mechanical
harvesting and with diesel fuel prices
expected to increase in the future, costs
may be higher than expected. Therefore,
we have not assumed any changes to
harvesting costs due to the switchover
from manual harvesting to mechanical
harvesting.
As more straw is expected to be
collected at future sugarcane ethanol
facilities, there is greater potential for
314 Ibid.
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71.5 t/ha.
2 million tons/year.
167.
85 liters/ton (22.5 gal/ton).
170 million liters/year (45 MGY).
40 kWh/ton sugarcane.
USD 97 million.
USD 36 million.
$0.26/gal.
$0.64/gal.
$0.49/gal.
$1.40/gal.
production of excess electricity. The
production costs estimates in the OECD
study assumes an excess of 40 kWh per
ton sugarcane, however, future
sugarcane plants are expected to
produce 135 kWh per ton sugarcane
assuming the use of higher efficiency
condensing-extraction steam turbine
(CEST) systems and use of 40% of
available straw.315 Assuming excess
electricity is sold for $57 per MWh, the
production of 95 kWh per ton would be
equivalent to a credit of $0.22 per gallon
ethanol produced. We have included
this potential additional credit from
greater use of bagasse and straw in our
estimates at this time, calculated as a
decrease in operating costs from $0.26
per gallon to $0.04 per gallon.
It is also important to note that
ethanol production costs can increase if
the costs of compliance with various
sustainability criteria are taken into
account. For instance, using organic or
green cane production, adopting higher
wages, etc. could increase production
costs for sugarcane ethanol.316 Such
sustainability criteria could also be
applicable to other feedstocks, for
example, those used in corn- or soybased biofuel production. If these
measures are adopted in the future,
production costs will be higher than we
have projected.
In addition to production costs, there
are also logistical and port costs. We
used the report from AgraFNP to
estimate such costs since it was the only
resource that included both logistical
315 Macedo. I.C., ‘‘Green house gases emissions in
the production and use of ethanol from sugarcane
in Brazil: The 2005/2006 Averages and a Prediction
for 2020,’’ Biomass and Bioenergy, 2008.
316 Smeets E, Junginger M, Faaij A, Walter A,
Dolzan P, Turkenburg W, ‘‘The sustainability of
Brazilian Ethanol—An Assessment of the
possibilities of certified production,’’ Biomass and
Bioenergy, 2008.
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and port costs. The total average
logistical and port cost for sugarcane
ethanol is $0.20/gal and $0.09/gal,
14825
respectively, as shown in Table VII.A.1–
10.
TABLE VII.A.1–10—IMPORTED ETHANOL COST AT PORT IN BRAZIL
[2006 $]
Logistical
costs
US
($/gal)
Region
NE Sao Paulo ..........................................................................................................................................................
W Sao Paulo ............................................................................................................................................................
SE Sao Paulo ..........................................................................................................................................................
S Sao Paulo .............................................................................................................................................................
N Parana ..................................................................................................................................................................
S Goias ....................................................................................................................................................................
E Mato Grosso do sul ..............................................................................................................................................
Triangulo mineiro .....................................................................................................................................................
NE Cost ...................................................................................................................................................................
Sao Francisco Valley ...............................................................................................................................................
Average ....................................................................................................................................................................
Total fuel costs must also include the
cost to ship ethanol from Brazil to the
U.S. The average cost from 2006–2008
was estimated to be approximately
$0.17 per gallon of ethanol.317 Costs
were estimated as the difference
between the unit value cost of insurance
and freight (CIF) and the unit value
customs price. The average cost to ship
ethanol from Caribbean countries (e.g.
El Salvador, Jamaica, etc.) to the U.S.
from 2006–2008 was approximately
$0.13 per gallon of ethanol. Although
this may seem to be an advantage for
Caribbean countries, it should be noted
that there would be some additional
cost for shipping ethanol from Brazil to
the Caribbean country. Therefore, we
assume all costs for shipping ethanol to
be $0.17 per gallon regardless of the
country importing ethanol to the U.S.
Total imported ethanol fuel costs (at
U.S. ports) prior to tariff and tax for
2022 is shown in Table VII.A.1–11, at
$1.50/gallon. Direct Brazilian imports
are also subject to an additional $0.54
per gallon tariff, whereas those imports
0.150
0.210
0.103
0.175
0.238
0.337
0.331
0.207
0.027
0.193
0.197
Port cost
US
($/gal)
0.097
0.097
0.097
0.097
0.097
0.097
0.097
0.097
0.060
0.060
0.089
arriving in the U.S. from Caribbean
Basin Initiative (CBI) countries are
exempt from the tariff. In addition, all
imports are given an ad valorem tax of
2.5% for undenatured ethanol and a
1.9% tax for denatured ethanol. We
assumed an ad valorem tax of 2.5% for
all ethanol. Thus, including tariffs and
ad valorem taxes, the average cost of
imported ethanol is shown in Table
VII.A.1–12 in the ‘‘Brazil Direct w/Tax &
Tariff’’ and ‘‘CBI w/Tax’’ columns for
2022.
TABLE VII.A.1–11—AVERAGE IMPORTED ETHANOL COSTS PRIOR TO TARIFF AND TAXES IN 2022
Sugarcane production cost
($/gal)
Operating cost
($/gal)
Capital cost
($/gal)
Logistical cost
($/gal)
Port cost
($/gal)
Transport cost
from port to
US
($/gal)
Total cost
($/gal)
0.51 ..........................................................
0.04
0.49
0.20
0.09
0.17
1.50
TABLE VII.A.1–12—AVERAGE IMPORTED ETHANOL COSTS IN 2022
Brazil direct
($/gal)
Brazil direct w/
tax & tariff
($/gal)
CBI
($/gal)
CBI w/tax
($/gal)
1.50 ..............................................................................................................................................
2.08
1.50
1.54
mstockstill on DSKH9S0YB1PROD with RULES2
2. Biodiesel and Renewable Diesel
Production Costs
a. Biodiesel
Biodiesel and renewable diesel
production costs are primarily a
function of the feedstock cost, and to a
much lesser extent, the capital and other
operating costs of the facility.
Biodiesel production costs for this
rule were estimated using two versions
of a biodiesel production facility model
obtained from USDA, one using
degummed soy oil as a feedstock and
the other using yellow grease. The
biodiesel from yellow grease model
includes acid pre-treatment steps
required to utilize feedstocks with high
free fatty acid content.
The production model simulates a 10
million-gallon-per-year plant operating
a continuous flow transesterification
process. USDA used the SuperPro
Designer chemical process simulation
software to estimate heat and material
flowrates and equipment sizing.
Outputs from this software were then
317 Official Statistics of the U.S. Department of
Commerce, USITC.
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Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
combined in a spreadsheet with
equipment, energy, labor, and chemical
costs to generate a final estimate of
production cost. The model is described
in a 2006 publication in Bioresource
Technology, peer-reviewed scientific
journal. 318 For the purpose of
estimating biodiesel production cost for
this rulemaking, a model with updated
facility, labor, and chemical costs was
used. Installed capital cost was $11.9
million, and energy prices were taken
from AEO 2009: natural gas at $7.75/
MMBtu and electricity at $0.066/kWh.
Capital charge plus maintenance was
assumed to be 14% of total capital per
year. Table VII.A.2–1 shows the
production cost allocation for the soy
oil-to-biodiesel facility as modeled in
the 2022 policy case.
TABLE VII.A.2–1—PRODUCTION COST
ALLOCATION FOR SOY BIODIESEL
FOR POLICY CASE IN 2022
Cost category
Contribution to
cost
(percent)
Soy Oil ................................
Other Materials a .................
Capital & Facility .................
Labor ...................................
Utilities ................................
a Includes
85
6
6
2
2
acids, bases, methanol, catalyst.
mstockstill on DSKH9S0YB1PROD with RULES2
Soy oil costs were generated by the
FASOM agricultural model (described
in more detail in Section VIII.A).
Historically, the majority of biodiesel
production in the U.S. has used soy oil,
a relatively high-value feedstock, but a
growing fraction of biodiesel is being
made from yellow grease (rendered or
reclaimed oil that is not suitable for use
in food products). This material has
historically sold for about 70% of the
value of virgin soy oil. However,
conversion of yellow grease into
biodiesel requires an additional acid
pre-treatment step, and therefore the
processing costs are higher than for
virgin soy oil (40–50 cents/gal if
feedstock costs are equal), reducing the
attractiveness of the cheaper feedstock
to some extent. Another feedstock we
expect to be used in significant
quantities in the future is distressed
corn oil extracted from process streams
that make up distillers’ grains. This
material will also require processing in
318 Haas,
M.J, A process model to estimate
biodiesel production costs, Bioresource Technology
97 (2006) 671–678.
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acid pre-treatment facilities, and is
projected by the FASOM model to have
about one half the value of soy oil.
Finally, we project a small amount of
algae-derived oil (or similarly advanced
feedstock) will be used by 2022. As algal
biofuel technology is still in a relatively
early stage of development, there are
many possible configurations for the
production of this material and thus
there is considerable uncertainty
regarding process performance and cost.
Based on work done by NREL at the
time of this rulemaking, we assumed a
production cost of $0.68/lb for this
feedstock.319 More details on how this
estimate was made can be found in
Chapter 4.1 of the RIA.
A co-product of transesterification is
crude glycerin. With the upswing in
worldwide biodiesel production in
recent years, its price has been
depressed in most markets. Closure of
remaining petrochemical glycerin
plants, along with development of
processes to make new use of it as a
feedstock for other commodity
chemicals has provided some support
for a price recovery. Some companies
are experimenting with using glycerin
as a fuel for process or facility heat. We
expect new uses for this coproduct to
continue growing to reach an
equilibrium with supply at or near its
heating value, which we estimate to be
$0.15/lb. As a result, the sale of this
material as a co-product reduces
biodiesel production cost by about
$0.13/gal in our control case.
b. Renewable Diesel
Renewable diesel production can
occur in a few different configurations:
within the boundaries of an existing
refinery where it may or may not be
coprocessed with petroleum, or at a
stand-alone plant that may or may not
be co-located with other facilities that
provide utilities or hydrogen. Given
changes in the tax incentives as well as
current project announcements, we have
chosen to project that all renewable
diesel will be produced in stand-alone
facilities, not coprocessing with
petroleum. The 75 MMgal/yr
Syntroleum facility scheduled to come
online in Geismar, Louisiana, in 2010 is
an example of such a plant.
Our production cost estimates used
hydrogen requirements made available
319 See Technical Memo in the docket entitled
‘‘Techno-economic analysis of microalgae-derived
biofuel production’’ by Ryan Davis of the National
Renewable Energy Laboratory.
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publicly by UOP, Inc. and overall
project cost of $150MM taken from
Syntroleum, Corp. materials.320 321 The
feedstock was assumed to be yellow
grease or similar rendered material.
Hydrogen and co-product prices were
taken from refinery modeling done for
this rule, while an aggregate figure of
$0.069/gal, derived from the UOP
publication, was used to cover other
variable operating costs besides
hydrogen (includes labor, catalyst, and
utilities). Cost contributions of various
process aspects are shown in Table
VII.A.2–2. More details are available in
Chapter 4.1 of the RIA.
TABLE VII.A.2–2—PRODUCTION COST
ALLOCATION FOR RENEWABLE DIESEL FOR POLICY CASE IN 2022
Cost category
Feedstock ...........................
Capital & Facility .................
Hydrogen ............................
Other variable costs ...........
Contribution to
cost
(percent)
78
11
7
3
Table VII.A.2–3 summarizes the
production costs for biodiesel and
renewable diesel as estimated for this
rule, as well as their projected volume
contribution in 2022. Biodiesel made
from yellow grease is projected to be
about 10% cheaper to produce despite
its higher production cost due to the
large influence of the feedstock cost,
which is about 30% lower. Biodiesel
from extracted corn oil is expected to be
significantly cheaper to produce than
this, again due to the projected
feedstock cost being about half that of
soy oil. Finally, renewable diesel from
stand-alone production is estimated in
this analysis to have total production
cost similar to biodiesel from yellow
grease. However, given the business
partnership between the fuel production
and animal processing companies who
have announced or are constructing the
U.S. plants to date, we expect the
feedstock being used there may be made
available at a lower cost than we are
projecting here for yellow grease.
320 A New Development in Renewable Fuels:
Green Diesel, AM–07–10 Annual Meeting NPRA,
March 18–20, 2007.
321 Taken from Syntroleum Investor Presentation,
November 5, 2009. See https://
www.syntroleum.com/Presentations/
SyntroleumInvestorPresentation.
November%205.2009.FINAL.pdf.
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TABLE VII.A.2–3—SUMMARY OF COST FOR BIODIESEL AND RENEWABLE DIESEL FOR POLICY CASE IN 2022
[2007$]
Feedstock
price
($/lb)
Fuel/feedstock
Biodiesel/soy oil .......................................................................................................................................................
Biodiesel/corn oil extraction at ethanol plants .........................................................................................................
Biodiesel/yellow grease or other rendered fats .......................................................................................................
Biodiesel/algae or other advanced virgin oil feedstock ...........................................................................................
Renewable diesel/yellow grease or other rendered fats .........................................................................................
0.33 a
0.17 a
0.23 b
0.58 c
0.23 b
Fuel production cost
($/gal)
2.73
1.90
2.43
4.52 d
2.42
a Taken
from outputs of FASOM model.
from outputs of FASOM model, assuming 70% value of soy oil.
c Derived from figures in a Technical Memo by Ryan Davis of NREL entitled ‘‘Techno-economic analysis of microalgae-derived biofuel production’’ (available in docket).
d This production cost assumes this advanced feedstock has very low free fatty acid content.
b Derived
B. Biofuel Distribution Costs
Our analysis of the costs associated
with distributing the volume of biofuels
that we project will be used under RFS2
focuses on: (1) The capital cost of
making the necessary upgrades to the
fuel distribution infrastructure system
directly related to handling these fuels,
and (2) the ongoing additional freight
costs associated with shipping
renewable fuels to the point where they
are blended with petroleum-based
fuels.322 The following sections outline
our estimates of the distribution costs
for the additional volumes of ethanol,
cellulosic distillate fuel, renewable
diesel fuel, and biodiesel that we project
would be used in response to the RFS2
standards under the three control
scenarios that we analyzed relative to
the two reference cases.323
A discussion of the capability of the
transportation system to accommodate
the volumes of renewable fuels
projected to be used under RFS2 is
contained in Section IV.C. of today’s
preamble and 1.6 of the RIA. There will
be ancillary costs associated with
upgrading the basic rail, marine, and
road transportation nets to handle the
increase in freight volume due to the
RFS2. We have not sought to quantify
these ancillary costs because (1) the
growth in freight traffic that is
attributable to RFS2 represents a small
fraction of the total anticipated increase
in freight tonnage (approximately 3% of
rail traffic by 2022, see Section IV.C.1),
and (2) we do not believe there is an
adequate way to estimate such nondirect costs.
1. Ethanol Distribution Costs
The capital costs to upgrade the
distribution system to handle the
increased volumes of ethanol vary
substantially under the three control
scenarios that we analyzed. Table
VII.B.1–1 contains our estimates of the
fuel distribution infrastructure capital
costs to support the use of the
additional ethanol that we project will
be used under the three use scenarios by
2022 relative to the RFS1 reference case
forecast of 7.05 BGY.324 The total
estimated capital costs under our
primary case are estimated at $7.90
billion which when amortized equates
to approximately 6 cents per gallon of
the additional ethanol volume that
would be used in 2022 in response to
the RFS2 standards relative to the RFS1
reference case.325 Capital costs under
the low-ethanol and high-ethanol
scenarios are estimated at $5.47 billion
and $11.92 billion respectively. This
equates to 6 and 5 cents per gallon
respectively relative to the RFS1
reference case.
TABLE VII.B.1–1—ESTIMATED ETHANOL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE RFS1 REFERENCE
CASE
Million $
Low-ethanol
scenario
mstockstill on DSKH9S0YB1PROD with RULES2
Fixed Facilities:
Marine Import Facilities ........................................................................................................
Marine Facilities for Shipment Inside U.S. ...........................................................................
Unit Train Receipt Facilities .................................................................................................
Manifest Rail Receipt Facilities ............................................................................................
Petroleum Terminals:
Terminal Storage Tanks .......................................................................................................
Blending & Misc. Equipment ................................................................................................
E85 Retail .............................................................................................................................
Mobile Facilities:
Rail Cars ...............................................................................................................................
Barges ..................................................................................................................................
Tank Trucks ..........................................................................................................................
322 The anticipated ways that the renewable fuels
projected to be used in response to the EISA will
be distributed is discussed in Section IV.C. of
today’s preamble.
323 Please refer to Section 4.2 of the RIA for
additional discussion of how these estimates were
derived.
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324 See Section IV.C. of today’s preamble for
discussion of the upgrades we project will be
needed to the distribution system to handle the
increase in ethanol volumes under EISA. The
derivation of these estimates is discussed in Section
4.2 of the RIA.
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Primary
scenario
High-ethanol
scenario
49
98
444
15
53
130
586
20
63
186
838
28
859
1,006
1,957
1,243
1,064
3,293
2,073
1,144
4,973
884
53
107
1,279
77
154
2,218
133
268
325 These capital costs will be incurred
incrementally through 2022 as ethanol volumes
increase. Capital costs for tank trucks were
amortized over 10 years with a 7% cost of capital.
Other capital costs were amortized over 15 years
with a 7% return on capital.
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TABLE VII.B.1–1—ESTIMATED ETHANOL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE RFS1 REFERENCE
CASE—Continued
Million $
Low-ethanol
scenario
Primary
scenario
High-ethanol
scenario
Total Capital Costs (Million $) .......................................................................................
5,471
7,898
11,922
Total Capital Costs (cents per gallon ethanol) .............................................................
6
6
5
Table VII.B.1–2 contains our estimates
of the fuel distribution infrastructure
costs to support the use of the
additional ethanol that we project will
be used under the three use scenarios by
2022 relative to the AEO reference case
forecast of 13.18 BGY. The total
estimated capital costs under our
primary case are estimated at $5.50
billion which when amortized equates
to approximately 7 cents per gallon of
the additional ethanol volume that
would be used in 2022 in response to
the RFS2 standards relative to the AEO
reference case. Capital costs under the
low-ethanol and high-ethanol scenarios
are estimated at $3.02 billion and $9.93
billion respectively. This equates to 8
and 6 cents per gallon respectively
relative to the AEO reference case.
TABLE VII.B.1–2—ESTIMATED ETHANOL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE AEO REFERENCE
CASE
Million $
Low-ethanol
scenario
Fixed Facilities:
Marine Import Facilities ........................................................................................................
Marine Facilities for Shipment Inside U.S. ...........................................................................
Unit Train Receipt Facilities .................................................................................................
Manifest Rail Receipt Facilities ............................................................................................
Petroleum Terminals:
Terminal Storage Tanks .......................................................................................................
Blending & Misc. Equipment ................................................................................................
E85 Retail .............................................................................................................................
Mobile Facilities:
Rail Cars ...............................................................................................................................
Barges ..................................................................................................................................
Tank Trucks ..........................................................................................................................
Primary
scenario
High-ethanol
scenario
53
100
434
12
63
144
748
21
355
345
1,526
739
411
2,863
1,568
503
4,893
309
16
68
522
38
103
1,133
63
194
Total Capital Costs (Million $) .......................................................................................
3,025
5,505
9,935
Total Capital Costs (cents per gallon ethanol) .............................................................
mstockstill on DSKH9S0YB1PROD with RULES2
49
76
238
7
8
7
6
We estimate that ethanol freight costs
under the primary and high-ethanol
scenarios would be 13 cents per gallon
on a national average basis. Ethanol
freight costs under the high-ethanol
scenario are estimated at 12 cents per
gallon. These estimates are based on an
analysis conducted for EPA by Oak
Ridge National Laboratory (ORNL)
which were modified to reflect
projected higher transportation fuel
costs in the future, the likely installation
of fewer unit train receipt facilities than
that projected by ORNL based on
industry comments, and to conform to
the ethanol volumes under the three
control scenarios analyzed in today’s
rule.326 The ORNL analysis contains
326 ‘‘Analysis of Fuel Ethanol Transportation
Activity and Potential Distribution Constraints’’,
prepared for EPA by Oak Ridge National
Laboratory, March 2009. The ORNL analysis
indicates that ethanol freight costs decrease
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detailed projections of which
transportation modes and combination
of modes (e.g. unit train to barge) are
best suited for delivery of ethanol to
specific markets considering ethanol
source and end use locations, the
current configuration and projected
evolution of the distribution system,
and cost considerations for the different
transportation modes.
Summing the freight and capital costs
estimates results in an estimate of 19
cents per gallon for ethanol distribution
costs for our primary and low-ethanol
scenarios under the RFS1 reference
case. Total ethanol distribution costs
under the RFS1 reference case for the
high-ethanol scenario are estimated at
17 cents per gallon. Under the AEO
reference case, total ethanol distribution
somewhat with increasing ethanol volume. See
Section 4.2 of the RIA for additional discussion of
the estimation of ethanol freight costs.
PO 00000
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Sfmt 4700
costs are estimated at 21, 20, and 18
cents per gallon respectively for the
low-ethanol, primary, and high-ethanol
scenarios.
As discussed in Section IV.C. of
today’s preamble, ASTM International is
considering a change to specification on
the minimum ethanol content in E85 to
facilitate the manufacture of E85 at
terminals which meets minimum
volatility specifications using
commonly-available finished gasoline. If
the current difficulties in blending E85
to meet minimum volatility
specifications can not be resolved by
lowering the minimum ethanol
concentration of E85, high vapor
pressure blendstocks will need to be
supplied to approximately two thirds of
petroleum terminals for blending with
E85.327 This would necessitate the
327 If this is the case, EPA would need to
reconsider its policies regarding what blendstocks
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installation of new blending/storage
equipment at petroleum terminals and
additional butane tank cars and tank
trucks. The capital costs for such
facilities would be $2.2 billion, $1.4
billion, and $0.6 billion under the highethanol, primary, and low-ethanol
scenarios respectively under both
reference cases. By amortizing these
capital costs and adding in butane
freight costs, we estimate that the need
to supply special blendstocks at
terminals for E85 blending would add
approximately 1 cent per gallon to
ethanol distribution costs for all three
analysis scenarios relative to the RFS1
reference case. Relative to the AEO
reference case, the additional cost
would be approximately 2 cents per
gallon under the primary and lowethanol scenarios, and approximately 1
cent per gallon under the high-ethanol
scenario.
In the NPRM, we estimated that half
of the new ethanol rail receipt capability
needed to support the use of the
projected ethanol volumes under the
EISA would be installed at petroleum
terminals, and half would be installed at
rail terminals. Based on input from
industry and a study conducted for us
by ORNL, we now believe that all unit
train receipt facilities will be installed at
new dedicated locations.328 This change
results in the need for additional tank
truck receipt equipment at terminals
and additional tank trucks to carry
ethanol from rail to petroleum terminals
compared to the NPRM. However, we
also received additional input from
industry on the cost of unit train
facilities which indicates that such
facilities are not as costly as we
projected in the NPRM. We also
increased the average E85 facility cost
relative to the NPRM to reflect the likely
need for additional E85 dispensers and
a larger underground storage tank to
maintain sufficient throughput per
facility.329
2. Cellulosic Distillate and Renewable
Diesel Distribution Costs
We chose to evaluate the distribution
costs for cellulosic distillate and
renewable diesel together because the
same considerations apply to their
handling in the fuel distribution system
and because the projected volume of
renewable diesel fuel is relatively small.
Table VII.B.2–1 contains our estimates
of the fuel distribution infrastructure
capital costs to support the use of the
cellulosic distillate and renewable
diesel fuel that we project will be used
under the three use scenarios by 2022
under the RFS1 reference case.330 The
total estimated capital costs by 2022
under our primary and low-ethanol
scenarios are estimated at $1.38 billion
and $2.00 billion respectively under the
RFS1 reference case.
TABLE VII.B.2–1—ESTIMATED CELLULOSIC DISTILLATE FUEL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE
RFS1 REFERENCE CASE
Million $
Low-ethanol
scenario
Fixed Facilities:
Marine Facilities for Shipment Inside US .............................................................................
Unit Train Receipt Facilities .................................................................................................
Manifest Rail Receipt Facilities ............................................................................................
Petroleum Terminals:
Terminal Storage Tanks .......................................................................................................
Blending & Misc. Equipment ................................................................................................
Mobile Facilities:
Rail Cars ...............................................................................................................................
Barges ..................................................................................................................................
Tank Trucks ..........................................................................................................................
Primary
scenario
High-ethanol
case
87
394
13
56
253
8
........................
........................
218
361
154
252
........................
........................
784
47
95
552
33
........................
........................
........................
........................
Total Capital Costs (Million $) .......................................................................................
1,999
1,375
NA
Total Capital Costs (cents per gallon of cellulosic distillate fuel) .................................
2
2
NA
mstockstill on DSKH9S0YB1PROD with RULES2
Table VII.B.2–2 contains our estimates
of the infrastructure changes and
associated capital costs to support the
use of the cellulosic distillate and
renewable diesel fuel that we project
will be used under the three use
scenarios by 2022 under the AEO
reference case. Total capital costs are
estimated at $1.02 and $1.46 billion for
the primary and low-ethanol scenarios
respectively under the AEO reference
case. The difference in estimated capital
costs for the two control scenarios under
the two reference scenarios is obscured
by rounding when translating these
costs to a cents-per-gallon basis. When
amortized, these capital costs equate to
approximately 2 cents per gallon for
both control scenarios under both
reference cases.331
can be used at petroleum terminals in the
manufacture of E85.
328 ‘‘Analysis of Fuel Ethanol Transportation
Activity and Potential Distribution Constraints’’,
prepared for EPA by Oak Ridge National Laboratory
(ORNL), March 2009.
329 This is a sensitivity case that was evaluated in
the NPRM.
330 See Section IV.C. of today’s preamble for
discussion of the upgrades we project will be
needed to the distribution system to handle the
increase in ethanol volumes under EISA. The
derivation of these estimates is discussed in Section
1.6 of the RIA.
331 These capital costs will be incurred
incrementally through 2022 as ethanol volumes
increase. Capital costs for tank trucks were
amortized over 10 years with a 7% cost of capital.
Other capital costs were amortized over 15 years
with a 7% return on capital.
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TABLE VII.B.2–2—ESTIMATED CELLULOSIC DISTILLATE FUEL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE
AEO REFERENCE CASE
Million $
Low-ethanol
scenario
Fixed Facilities:
Marine Facilities for Shipment Inside US .............................................................................
Unit Train Receipt Facilities .................................................................................................
Manifest Rail Receipt Facilities ............................................................................................
Petroleum Terminals:
Terminal Storage Tanks .......................................................................................................
Blending & Misc. Equipment ................................................................................................
Mobile Facilities:
Rail Cars ...............................................................................................................................
Barges ..................................................................................................................................
Tank Trucks ..........................................................................................................................
Primary
scenario
High-ethanol
case
67
511
15
43
315
9
........................
........................
........................
218
304
154
223
........................
........................
784
47
90
552
33
63
........................
........................
........................
Total Capital Costs (Million $) .......................................................................................
2,036
1,392
NA
Total Capital Costs (cents per gallon of cellulosic distillate fuel) ................................................
2
2
NA
mstockstill on DSKH9S0YB1PROD with RULES2
We estimate that cellulosic distillate
freight costs would be 13 cents per
gallon on a national average basis under
both the primary and low-ethanol
scenarios. This estimate is based on the
application to cellulosic distillate
freight costs of an analysis conducted
for EPA by Oak Ridge National
Laboratory (ORNL) of ethanol freight
costs.332 The underlying premise is that
both ethanol and cellulosic distillate
fuel would be handled by the same
types of distribution facilities on the
journey to petroleum terminals.333
Summing the freight and capital costs
results in an estimated 15 cents per
gallon in total distribution costs for both
the primary and low-ethanol scenarios
under both reference cases.
The ethanol and cellulosic distillate
distribution cost estimates are based on
the projections of the location of biofuel
production facilities and end use areas
contained in the NPRM. The extent to
which new biofuel production facilities
are more dispersed than projected in the
NPRM, distribution costs for ethanol
from new production facilities and for
all cellulosic distillate facilities may
tend be lower than those projected by
this analysis as the fuel has more
opportunity to be used locally. This
would potentially be a greater benefit in
lowering cellulosic distillate
distribution costs than overall ethanol
distribution costs given the large
number of ethanol production facilities
of Fuel Ethanol Transportation
Activity and Potential Distribution Constraints’’,
prepared for EPA by Oak Ridge National
Laboratory, March 2009. See Section 4.2 of the RIA
for additional discussion of the estimation of
cellulosic distillate freight costs.
333 The same unit train and manifest rail receipt
facilities would be used to handle shipments of
both fuels.
332 ‘‘Analysis
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currently located in the Midwest.
Cellulosic distillate costs should also
tend to be lower than those for ethanol
because cellulosic distillate fuel blends
are compatible with existing petroleum
distribution equipment, whereas there
are special considerations associated
with the distribution of ethanol. The
most notable of these considerations is
the need for special fuel retail
equipment for E85 (as evidenced in
Table VII.B.1–1). Thus, the cellulosic
distillate distribution costs estimated
here are likely to be conservative.
3. Biodiesel Distribution Costs
334 We project that by 2022 300 MGY of biodiesel
would be used under the RFS1 reference case, 380
MGY of biodiesel would be used under the RFS
reference case and that a total of 1.67 BGY of
biodiesel would be used under the EISA. Biodiesel
use is projected to be the same under all three of
analysis scenarios.
335 These capital costs will be incurred
incrementally through 2022 as biodiesel volumes
increase. Capital costs for tank trucks were
amortized over 10 years with a 7% cost of capital.
Other capital costs were amortized over 15 years
with a 7% return on capital.
Frm 00162
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Million $
Fixed Facilities:
Petroleum Terminals:
Storage Tanks .........................
Blending & Misc. Equipment ...
Mobile Facilities:
Rail Cars .................................
Barges .....................................
Tank Trucks ............................
411
612
111
53
25
Total Capital Costs (Million
$) ......................................
Table VII.B.3–1 contains our estimates
of the infrastructure changes and
associated capital costs to support the
use of the additional biodiesel that we
project will be used under RFS2 by 2022
relative to the RFS reference case of 300
MGY by 2022.334 The total capital costs
are estimated at $1.2 billion which
equates to approximately 10 cents per
gallon of additional biodiesel
volume.335
PO 00000
TABLE VII.B.3–1—ESTIMATED BIODIESEL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE
RFS1 REFERENCE CASE
1,212
Total Capital Costs (cents per
gallon of biodiesel) ..................
10
Table VII.B.3–2 contains our estimates
of the infrastructure changes and
associated capital costs to support the
use of the additional biodiesel that we
project will be used under RFS2 by 2022
relative to the AEO reference case of 380
MGY. The total capital costs are
estimated at $1.1 billion which equates
to approximately 10 cents per gallon of
additional biodiesel volume.
TABLE VII.B.3–2—ESTIMATED BIODIESEL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE
AEO REFERENCE CASE
Million $
Fixed Facilities:
Petroleum Terminals:
Storage Tanks .........................
Blending & Misc. Equipment ...
Mobile Facilities:
Rail Cars .................................
Barges .....................................
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results for estimating the volume of
displaced petroleum as other economic
factors also come into play. Instead we
conducted an energy balance around the
increased use of renewable fuels,
estimating the energy-equivalent
Million $
volume of gasoline or diesel fuel
Tank Trucks ............................
24 displaced. This allowed us to more
easily apply our best estimates for how
Total Capital Costs (Million
much of the petroleum would displace
$) ......................................
1,141 imports of finished products versus
crude oil for our energy security
Total Capital Costs (cents per
gallon of biodiesel) ..................
10 analysis which is discussed in Section
VIII.B of this preamble.
As part of this petroleum
We estimate that biodiesel freight
displacement analysis, we accounted for
costs would be 10 cents per gallon on
the change in petroleum demanded by
a national average basis. State biodiesel
upstream processes related to additional
use requirements and biodiesel
production of the renewable fuels as
production locations were taken into
well as reduced production of
account in formulating this estimate.336
The biodiesel blend ratio was estimated petroleum fuels. For example, growing
corn used for ethanol production
to vary between 2 and 5%. Adding the
requires the use of diesel fuel in
estimated freight costs to the amortized
tractors, which reduces the volume of
capital costs results in an estimate of
petroleum displaced by the ethanol.
total biodiesel distribution costs of 20
Similarly, the refining of crude oil uses
cents per gallon under both the RFS1
by-product hydrocarbons for heating
and AEO reference cases.
within the refinery, therefore the overall
C. Reduced U.S. Refining Demand
effect of reduced gasoline and diesel
As renewable and alternative fuel use fuel consumption is actually greater
because of the additional upstream
increases, the volume of petroleumeffect. We used the lifecycle petroleum
based products, such has gasoline and
demand estimates provided for in the
diesel fuel, would decrease. This
reduction in finished refinery petroleum GREET model to account for the
upstream consumption of petroleum for
products results in reduced refinery
industry costs. The reduced costs would each of the renewable and alternative
fuels, as well as for gasoline and diesel
essentially be the volume of fuel
fuel. Although there may be some
displaced multiplied by the cost for
renewable fuel used for upstream
producing the fuel. There is also a
reduction in capital costs as investment energy, we assumed that this entire
in new refinery capacity is displaced by volume is petroleum because the
volume of renewable and alternative
investments in renewable and
fuels is fixed by the RFS2 standard.
alternative fuels capacity.
Although we conducted refinery
We assumed that a portion of the
modeling for estimating the cost of
gasoline displaced by ethanol would
blending ethanol (see Section VII.B), we have been produced from domestic
did not rely on the refinery model
refineries causing reduced demand from
TABLE VII.B.3–2—ESTIMATED BIODIESEL DISTRIBUTION INFRASTRUCTURE CAPITAL COSTS UNDER THE
AEO REFERENCE CASE—Continued
U.S. refineries, while the rest of the
additional ethanol displaces imported
gasoline or gasoline blendstocks which
does not affect domestic refining sector
costs. To estimate the portion of new
ethanol which displaces U.S. refinery
production we relied on some Markal
refinery modeling conducted for us by
DOE. The Markal refinery model models
all the refinery sectors of the world and
thus can do a fair job estimating how
renewable fuels would impact imports
of finished gasoline and gasoline
blendstocks. The Markal refinery model
estimated that 2⁄3rds of a reduction in
petroleum gasoline demand would be
met by a reduction in imported gasoline
or gasoline blendstocks, while the other
1⁄3rd would be met by reduced refining
production by the U.S. refining sector.
In the case of biodiesel and renewable
diesel, all of it is presumed to offset
domestic diesel fuel production. For
ethanol, biodiesel and renewable diesel,
the amount of petroleum fuel displaced
is estimated based on the relative energy
contents of the renewable fuels to the
fuels which they are displacing. The
savings due to lower imported gasoline
and diesel fuel is accounted for in the
energy security analysis contained in
Section VIII.B.
For estimating the U.S. refinery
industry cost reductions, we multiplied
the estimated volume of domestic
gasoline and diesel fuel displaced by the
projected wholesale price for each of
these fuels in 2022, which are $3.42 per
gallon for gasoline, and $3.83 per gallon
for diesel fuel. For the volume of
petroleum displaced upstream, we
valued it using the wholesale diesel fuel
price. Table VII.C–1 shows the net
volumetric impact on the petroleum
portion of gasoline and diesel fuel
demand, as well as the reduced refining
industry costs for 2022.
TABLE VII.C–1—CHANGES IN U.S. REFINERY INDUSTRY VOLUMES AND COSTS FOR INCREASED RENEWABLE FUEL
VOLUMES IN 2022 RELATIVE TO THE AEO 2007 REFERENCE CASE
[2007 dollars]
Low ethanol case
Bil gals
Primary case
(mid-ethanol case)
Bil $
High ethanol case
Bil gals
Bil gals
Bil $
Bil $
mstockstill on DSKH9S0YB1PROD with RULES2
Upstream:
Petroleum ......................................................................................
End Use:
Gasoline ........................................................................................
0.34
1.3
0.34
1.3
0.33
1.3
¥0.9
¥3.1
¥2.0
¥6.8
¥4.4
¥15.0
Diesel Fuel ....................................................................................
¥10.1
¥38.7
¥7.5
¥28.7
¥1.3
¥5.0
Total .......................................................................................
¥10.7
¥40.5
¥9.2
¥34.2
¥5.4
¥18.7
336 See Section 4.2 of the RIA for a discussion of
our derivation of biodiesel distribution costs.
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For the primary control case relative
to the AEO 2007 reference case, this
analysis estimates that the increased
volumes of renewable fuel would
reduce the gasoline and diesel fuel
production volume of US refineries by
9.2 billion gallons in 2022, which would
reduce their raw material purchases and
production costs by $34 billion dollars.
Accounting for all the petroleum
displaced (domestic and foreign), the
increased volumes of renewable fuel
caused by the RFS 2 fuels program are
estimated to reduce gasoline and diesel
fuel demand by 13.2 billion gallons.
mstockstill on DSKH9S0YB1PROD with RULES2
D. Total Estimated Cost Impacts
The previous sections of this chapter
presented estimates of the cost of
producing and distributing corn-based
and cellulosic-based ethanol, cellulosic
diesel fuel, imported ethanol, biodiesel,
and renewable diesel. In this section, we
briefly summarize the methodology
used and the results of our analysis to
estimate the cost and other implications
for increased use of renewable fuels to
displace gasoline and diesel fuel. An
important aspect of this analysis is
refinery modeling which primarily was
used to estimate the costs of blending
ethanol into gasoline, as well as the
overall refinery industry impacts of the
fuel program. A detailed discussion of
how the renewable fuel volumes affect
refinery gasoline production volumes
and cost is contained in Chapter 4 of the
RIA.
1. Refinery Modeling Methodology
The refinery modeling was conducted
in three distinct steps. The first step
involved the establishment of a 2004
base case which calibrated the refinery
model against 2004 volumes, gasoline
quality, and refinery capital in place.
The EPA and ASTM fuel quality
constraints in effect by 2004 are
imposed on the products.
For the second step, we established
two year 2022 future year reference
cases which based their energy demand
off of the 2009 Annual Energy Outlook
(AEO). One of the reference cases
assumes business-as-usual demand
growth from the AEO 2007 reference
case discussed in Section IV.A.1. The
other utilized the RFS1 reference case.
The refinery modeling results are based
on $116 per barrel crude oil prices
which are the 2022 projected prices by
EIA in its 2009 AEO. We also modeled
the implementation of several new
environmental programs that will have
required changes in fuel quality by
2022, including the 30 part per million
(ppm) average gasoline sulfur standard,
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the 15 ppm cap standards on highway
and nonroad diesel fuel, the Mobile
Source Air Toxics (MSAT) 0.62 volume
percent benzene standard. We also
modeled the implementation of EPAct
of 2005, which by rescinding the
reformulated gasoline oxygenate
standard, resulted in the discontinued
use of MTBE, and a large increase in the
amount of ethanol blended into
reformulated gasoline. We also modeled
the EISA Energy Bill corporate average
´
fuel economy (cafe) standards in the
reference case because it will be
phasing-in, and affect the phase-in of
the RFS2.
The third step, or the control cases,
involved the modeling of three different
possible renewable fuels volumes. The
three different volumes were designed
to capture the additional use of corn
ethanol and biodiesel and a range of
cellulosic ethanol and cellulosic diesel
fuel volumes. The volumes that we
assessed in our analysis are summarized
in Section IV.A above.
The price of ethanol and E85 used in
the refinery modeling is a critical
determinant of the overall economics of
using ethanol. Ethanol was priced
initially based on the historical average
price spread between regular grade
conventional gasoline and ethanol, but
then adjusted post-modeling to reflect
the projected production cost for both
corn and cellulosic-based ethanol. The
refinery modeling assumed that all
ethanol added to gasoline for E10 is
match-blended for octane by refiners in
the reference and control cases. For the
control case, E85 was assumed to be
priced lower than gasoline to reflect its
lower energy content, longer refueling
time and lower availability (see Chapter
4 of the RIA for a detailed discussion for
how we projected E85 prices). For the
refinery modeling, E85 was assumed to
be blended with gasoline blendstock
designed for blending with E10, and
with butane to bring the RVP of E85 up
to that allowed by ASTM International
standards for E85. Thus, unlike current
practices today where E85 is blended at
85% in the summer and E70 in the
winter, we assumed that E85 is blended
at 85% year-round. As E85
specifications are still under
consideration by ASTM, this
assumption may differ from future
procedures. E85 use in any one market
is limited to levels which we estimated
would reflect the ability of FFV vehicles
in the area to consume the E85 volume.
Our costs also include the incremental
costs of producing flexible fuel vehicles
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(FFVs) over that of conventionally
fueled vehicles.
The refinery model was provided
some flexibility and also was
constrained with respect to the
applicable gasoline volatility standards
for blending up E10. The refinery model
allowed conventional gasoline and most
low RVP control programs to increase
by 1.0 pounds per square inch (psi) in
Reid Vapor Pressure (RVP) waiver
during the summer. However,
wintertime conventional gasoline was
assumed to comply with the wintertime
ASTM RVP and Volume/Liquid (V/L)
standards.
The costs for producing, distributing
and using biodiesel and renewable
diesel are accounted for outside the
refinery modeling. Their production and
distribution costs are estimated first,
compared to the costs of producing
diesel fuel, and then are added to the
costs estimated by the refinery cost
model for blending the ethanol.
2. Overall Impact on Fuel Cost
Utilizing the refinery modeling output
conducted for today’s final rule, we
calculated the costs for each control
case, which represented the three
different renewable fuels scenarios in
2022, relative to the AEO 2007 and
RFS1 reference cases. The costs are
reported separately for blending ethanol
into gasoline, as E10 and E85, and for
blending cellulosic diesel fuel, biodiesel
and renewable diesel into petroleumbased diesel fuel. These costs do not
include the biofuel consumption tax
subsidies. The costs are based on 2007
dollars and the capital costs are
amortized at seven percent return on
investment (ROI) before taxes.
Tables VII.D.2–1 and VII.D.2–2
summarize the costs for each of the
three control cases, including the
aggregated total for all the fuel changes
and the per-gallon costs, relative to the
AEO 2007 and RFS1 reference cases,
respectively. This estimate of costs
reflects the changes in gasoline that are
occurring with the expanded use of
renewable and alternative fuels. These
costs include the labor, utility and other
operating costs, fixed costs and the
capital costs for all the fuel changes
expected. These cost estimates do not
account for the various tax subsidies.
The per-gallon costs are derived by
dividing the total costs over all U.S.
gasoline and diesel fuel projected to be
consumed in 2022. These costs are only
for the incremental renewable fuel
volumes beyond the volumes modeled
in the two reference cases.
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14833
TABLE VII.D.2–1—ESTIMATED FUEL COSTS OF INCREASED VOLUMES OF RENEWABLE FUEL IN 2022 INCREMENTAL TO THE
AEO 2007 REFERENCE CASE
[2007 dollars, 7% ROI before taxes]
Primary case
(mid-ethanol
case)
Low ethanol
case
Gasoline Impacts:
$billion/yr .......................................................................................................................
c/gal ..............................................................................................................................
Diesel Fuel Impacts:
$billion/yr .......................................................................................................................
c/gal ..............................................................................................................................
Total Impact:
$billion/yr .......................................................................................................................
Incremental to the AEO 2007
reference case, our analysis shows that
for the low ethanol case which models
mostly cellulosic diesel instead of
cellulosic ethanol, the gasoline and
diesel fuel costs are projected to
decrease by $0.7 billion and $11.70
billion, respectively, for a total savings
of $12.4 billion. Expressed as per-gallon
costs, these fuel changes would decrease
the cost of producing gasoline and
diesel fuel by 0.5 and 16.4 cents per
gallon, respectively.
For our primary case which models a
mix of cellulosic diesel fuel and
cellulosic ethanol, the gasoline and
diesel fuel costs are projected to
decrease by $3.3 billion and $8.5
billion, respectively, for a total savings
¥0.67
¥0.48
¥3.31
¥2.35
High ethanol
case
¥5.90
¥4.08
¥11.7
¥16.4
¥1.27
¥1.79
¥12.4
of $11.8 billion. Expressed as per-gallon
costs, these fuel changes would decrease
the cost of producing gasoline and
diesel fuel by 2.4 and 12.1 cents per
gallon, respectively.
For the high ethanol case where the
cellulosic biofuel is cellulosic ethanol
(as in the proposal), the gasoline and
diesel fuel costs are projected to
decrease by $5.9 billion and $1.3
billion, respectively, for a total savings
of $7.2 billion. Expressed as per-gallon
costs, these fuel changes would decrease
the cost of producing gasoline and
diesel fuel by 4.1 and 1.8 cents per
gallon, respectively.
Crude oil prices have been very
volatile over the last several years which
raises uncertainty about future crude oil
¥8.5
¥12.1
¥11.8
¥7.17
prices. Because our cost model was
created to be able to assess the cost of
the program at a higher crude oil price,
we can also assess the cost at other
crude oil prices. As a sensitivity, we
varied crude oil prices in our model to
find the break-even (no cost) point of
the RFS2 program. Using our cost model
we estimate that, for the primary control
case relative to the AEO 2007 reference
case, the RFS2 program (total of gasoline
and diesel fuel costs) would break-even
at a 2022 crude oil price of $88 per
barrel. Thus, in 2022 if crude oil is
priced lower than $88 per barrel, the
RFS2 program would cost money; if
crude oil is priced higher than $88 per
barrel, the RFS2 program would result
in a cost savings.
TABLE VII.D.2–2—ESTIMATED FUEL COSTS OF INCREASED VOLUMES OF RENEWABLE FUEL IN 2022 INCREMENTAL TO THE
RFS1 REFERENCE CASE
[2007 dollars, 7% ROI before taxes]
Primary case
(mid-ethanol
case)
Low ethanol
case
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Gasoline Impacts:
$billion/yr .......................................................................................................................
c/gal ..............................................................................................................................
Diesel Fuel Impacts:
$billion/yr .......................................................................................................................
c/gal ..............................................................................................................................
Total Impact:
$billion/yr .......................................................................................................................
Incremental to the RFS1 reference
case, our analysis shows that for the low
ethanol case which models mostly
cellulosic diesel instead of cellulosic
ethanol, the gasoline and diesel fuel
costs are projected to decrease by $3.1
billion and $11.70 billion, respectively,
for a total savings of $14.8 billion.
Expressed as per-gallon costs, these fuel
changes would decrease the cost of
producing gasoline and diesel fuel by
2.4 and 16.5 cents per gallon,
respectively.
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For our primary case which models a
mix of cellulosic diesel fuel and
cellulosic ethanol, the gasoline and
diesel fuel costs are projected to
decrease by $5.6 billion and $8.6
billion, respectively, for a total savings
of $14.2.billion. Expressed as per-gallon
costs, these fuel changes would decrease
the cost of producing gasoline and
diesel fuel by 4.0 and 12.1 cents per
gallon, respectively.
For the high ethanol case where the
cellulosic biofuel is cellulosic ethanol
(as in the proposal), the gasoline and
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¥3.12
¥2.24
¥5.63
¥4.00
High ethanol
case
¥7.79
¥5.38
¥11.7
¥16.5
¥8.6
¥12.1
¥1.35
¥1.90
¥14.8
¥14.2
¥9.14
diesel fuel costs are projected to
decrease by $7.8 billion and $1.4
billion, respectively, for a total savings
of $9.1 billion. Expressed as per-gallon
costs, these fuel changes would decrease
the cost of producing gasoline and
diesel fuel by 5.4 and 1.9 cents per
gallon, respectively.
Both the gasoline and diesel fuel costs
are negative because of the relatively
high crude oil prices estimated by EIA
for the year 2022. Given the higher
projected crude oil prices and these
savings, it is difficult to quantify how
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much of the increase in renewable fuels
and the associated savings is due to the
RFS 2 program versus what would have
happened regardless in the marketplace.
However, even with the high crude oil
prices as projected by EIA, some or
perhaps even most of the investments in
these emerging renewable fuels
technologies may not occur without the
RFS 2 program in place. The reason for
this is that investors are hesitant to
invest in emerging technologies when
the threat remains for a drop in the price
of crude oil leaving their investment
dollars stranded. The RFS2 program
provides certainty for investors to invest
in renewable fuel technologies.
There are two important reasons why
the diesel fuel costs are more negative
than the gasoline costs when comparing
the low ethanol case (high cellulosic
diesel case) to the high ethanol case: (1)
Cellulosic ethanol costs include the
costs for fuel flexible vehicles, while
vehicles using cellulosic diesel fuel are
not expected to require any vehicle
modifications, hence there is no
additional estimated cost, (2) the crude
oil price adjustment based on crude oil
and finished gasoline and diesel fuel
price data from 2002 to 2008 increases
the estimated production cost for
petroleum diesel fuel more so than for
gasoline—therefore cellulosic diesel
shows a greater cost savings. If the
diesel fuel prices do not increase more
than gasoline prices with higher crude
oil prices, then the significantly higher
savings for renewable diesel fuel over
that for renewable ethanol would be less
than that modeled here.
The increased use of renewable and
alternative fuels would require capital
investments in corn and cellulosic
ethanol plants, and renewable diesel
fuel plants. In addition to producing the
fuels, storage and distribution facilities
along the whole distribution chain,
including at retail, will have to be
constructed for these new fuels.
Conversely, as these renewable and
alternative fuels are being produced,
they supplant gasoline and diesel fuel
demand which results in less new
investments in refineries compared to
business-as-usual. In Table VII.D.2–3,
we list the total incremental capital
investments that we project would be
made for this RFS2 rulemaking
incremental to the RFS1 reference case
(refer to Chapter 4 of the RIA for more
detail).
TABLE VII.D.2–3—TOTAL PROJECTED U.S. CAPITAL INVESTMENTS TO MEET THE INCREASED VOLUMES OF RENEWABLE
FUEL
[Incremental to the AEO 2007 reference case, billion dollars]
Low ethanol
case
Primary case
(mid-ethanol
case)
High ethanol
case
Cost type
Plant type
Production Costs ..............................
Distribution Costs .............................
Corn Ethanol .................................................................
Cellulosic Ethanol .........................................................
Cellulosic Diesel a .........................................................
Renewable Diesel and Algae .......................................
All Ethanol .....................................................................
Cellulosic and Renewable Diesel Fuel .........................
Biodiesel ........................................................................
FFV Costs .....................................................................
Refining .........................................................................
3.9
0
96.5
1.1
5.6
2.0
1.2
0.8
¥10.7
3.9
14.3
68.0
1.1
8.2
1.4
1.2
1.8
¥9.4
3.9
48.3
0
1.1
11.9
........................
1.2
6.1
¥4.1
Total Capital Investments .........
.......................................................................................
110.4
90.5
68.4
a Cellulosic
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diesel fuel is assumed to be produced by BTL plants which is a very capital intensive technology. If some or even most of this volume comes from other cellulosic diesel fuel technologies which are less capital intensive, the capital costs attributed to cellulosic diesel would be
much lower.
Table VII.D.2–3 shows that the total
U.S. capital investments attributed to
this program ranges from $71 to $111
billion in 2022 for the high ethanol to
low ethanol cases. The capital
investments made for renewable fuels
technologies are much more than the
decrease in refining industry capital
investments because (1) a large part of
the decrease in petroleum gasoline
supply was from reduced imports, (2)
renewable fuels technologies are more
capital intensive per gallon of fuel
produced than incremental increases in
gasoline and diesel fuel production at
refineries, and (3) ethanol and biodiesel
require considerable distribution and
retail infrastructure investments.
VIII. Economic Impacts and Benefits
A. Agricultural and Forestry Impacts
EPA used two principal tools to
model the potential domestic and
international impacts of the RFS2 on the
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14:03 Mar 25, 2010
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U.S. and global agricultural sectors. The
Forest and Agricultural Sector
Optimization Model (FASOM),
developed by Professor Bruce McCarl of
Texas A&M University and others,
provides detailed information on the
domestic agricultural and forestry
sectors, as well as greenhouse gas
impacts of renewable fuels. The Food
and Agricultural Policy Research
Institute (FAPRI) at Iowa State
University and the University of
Missouri-Columbia maintains a number
of econometric models that are capable
of providing detailed information on
impacts on international agricultural
markets from the wider use of
renewable fuels in the U.S. EPA worked
directly with the Center for Agriculture
and Rural Development (CARD) at Iowa
State University to implement the
FAPRI model to analyze the impacts of
the RFS2 on the global agriculture
sector. Thus, this model will henceforth
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be referred to as the FAPRI–CARD
model.
FASOM is a long-term economic
model of the U.S. agriculture and
forestry sectors that attempts to
maximize total revenues for producers
while meeting the demands of
consumers. FASOM can be utilized to
estimate which crops, livestock, forest
stands, and processed agricultural and
forestry products would be produced in
the U.S. given RFS2 biofuel
requirements. In each model simulation,
crops compete for price sensitive inputs
such as land and labor at the regional
level and the cost of these and other
inputs are used to determine the price
and level of production of primary
commodities (e.g., field crops, livestock,
and biofuel products). FASOM also
estimates prices using costs associated
with the processing of primary
commodities into secondary products
(e.g., converting livestock to meat and
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dairy, crushing soybeans to soybean
meal and oil, etc.). FASOM does not
capture short-term fluctuations (i.e.,
month-to-month, annual) in prices and
production, however, as it is designed to
identify long-term trends (i.e., five to ten
years).
There are a few notable changes that
have been made to both the FASOM and
FAPRI–CARD models, as well as to
some of the underlying assumptions
used in the agro-economic analysis
since the release of the proposed
rulemaking analysis. These changes
were made as a result of further research
and consultation with experts, as well
as in response to comments received
during the public comment period
following the release of the proposed
rulemaking. In regards to the FASOM
model, the first major change made to
the model is the inclusion of the full
interaction between the forestry and
agriculture sectors, as discussed in the
NPRM and supported by comments
received. For the proposed rulemaking,
the FASOM model was only capable of
modeling the changes in the agriculture
sector alone. In terms of land use, the
only land use that could be examined
was cropland and pasture use. With the
incorporation of a forestry sector that
dynamically interacts with the
agriculture, we are able to examine how
crop and forest acres compete for land
in response to changes in policy. Also,
similar to the agriculture sector, the
forestry sector has its own set of forestry
products, including logging and milling
residues that are available for the
production of cellulosic ethanol.
The second major change to the
FASOM model is the addition of a full
accounting of major land types in the
U.S., including cropland, cropland
pasture, forestland, forest pasture,
rangeland, acres enrolled in the
Conservation Reserve Program (CRP),
and developed land. These changes
address comments raised by peer
reviewers and the general public that we
should more explicitly link the
interaction between livestock, pasture
land, cropland, and forest land, as well
as have a detailed accounting of acres in
the U.S. across different land uses.
Cropland is actively managed cropland,
used for both traditional crops (e.g.,
corn and soybeans) and dedicated
energy crops (e.g., switchgrass).
Cropland pasture is managed pasture
land used for livestock production, but
which can also be converted to cropland
production. Forestland contains a
number of sub-categories, tracking the
number of acres both newly and
continually harvested (reforested), the
number of acres harvested and
converted to other land uses
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14:03 Mar 25, 2010
Jkt 220001
(afforested), as well as the amount of
forest acres on public land. Forest
pasture is unmanaged pasture land with
varying amounts of tree cover that can
be used for livestock production. A
portion of this land may be used for
timber harvest. Rangeland is unmanaged
land that can be used for livestock
grazing production. While the amount
of rangeland idled or used for
production may vary, rangeland may
not be used for any other purpose than
for cattle grazing.
A third major change in the FASOM
model is the adoption of updated
cellulosic ethanol conversion rates. We
updated the cellulosic ethanol
conversion rates based on new data
provided by the National Renewable
Energy Laboratory (NREL). The new
analysis by NREL simplified and
updated the conversion yields of the
different types of feedstocks. As a result
of these changes, the gallons per ton
yields for switchgrass and several other
feedstocks increased from the values
used in the proposal, while the yields
for corn residue and several other
feedstocks decreased slightly from the
NPRM values. In addition, we also
updated our feedstock production yields
based on new work conducted by the
Pacific Northwest National Laboratory
(PNNL).337 This analysis increased the
tons per acre yields for several
dedicated energy crops. These changes
increased the amount of cellulosic
ethanol projected to come from energy
crops. Additional details on the FASOM
model changes can be found in Chapter
5 of the RIA.
The FAPRI–CARD models are
econometric models covering many
agricultural commodities. These models
capture the biological, technical, and
economic relationships among key
variables within a particular commodity
and across commodities. They are based
on historical data analysis, current
academic research, and a reliance on
accepted economic, agronomic, and
biological relationships in agricultural
production and markets. The
international modeling system includes
international grains, oilseeds, ethanol,
sugar, and livestock models. In general,
for each commodity sector, the
economic relationship that supply
equals demand is maintained by
determining a market-clearing price for
the commodity. In countries where
domestic prices are not solved
endogenously, these prices are modeled
as a function of the world price using a
337 Thomson, A.M., R.C. Izarrualde, T.O. West,
D.J. Parrish, D.D. Tyler, and J.R. Williams. 2009.
Simulating Potential Switchgrass Production in the
United States. PNNL–19072. College Park, MD:
Pacific Northwest National Laboratory.
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14835
price transmission equation. Since
econometric models for each sector can
be linked, changes in one commodity
sector will impact other sectors.
Elasticity values for supply and demand
responses are based on econometric
analysis and on consensus estimates.
As one of the largest and fastest
developing countries in the world, a
major producer and exporter of sugar
ethanol, and in possession of one of the
world’s largest carbon sinks, the
Amazon, Brazil is acknowledged to be
an important part of our analysis in
terms of indirect land use change. For
the proposal’s analysis, the FAPRI–
CARD model analyzed Brazil at a
national level as any other non-US
nation in the model, covering only crop
area and commodity prices. Comments
and feedback received indicated the
importance of analyzing Brazil at a
regional level, given its diverse natural
lands across the country, and to also
closely examine livestock production in
terms of land use.
In response to these comments, the
FAPRI–CARD model now includes an
integrated Brazil module that provides
additional detail on agricultural land
use in Brazil for six geographic regions.
The new Brazil module explicitly
models the competition between
cropland and pastureland used for
livestock production in each region. In
addition, the Brazil module allows for
region-specific agriculture practices
such as double cropping and livestock
intensification in response to higher
commodity prices. The addition of the
Brazil module allows for a more refined
analysis of land use change and
economic impacts in Brazil than what
was able to be done for the proposal’s
analysis.
Another topic that we received
comments on was in regards to priceinduced yields. Namely that with an
increase in price for a particular crop,
seed producers and/or farmers have a
greater incentive to increase yields for
that particular crop in order to
maximize revenue. In the analysis for
proposal, the FAPRI–CARD model did
not include impacts of commodity price
changes on yields. For the final
rulemaking, the FAPRI–CARD model
now includes feedback from changes in
commodity prices on yields. The
elasticities for these responses are based
on an econometric analysis of historical
data on yield and price changes for
various commodities. Additional details
on the FAPRI–CARD modeling updates
can be found in Chapter 5 of the RIA.
In the NPRM, we specifically
requested comments on our
assumptions regarding distiller grain
with solubles (DGS) replacement rates.
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For the proposal, we assumed that one
pound of DGS replaced one pound of
total of corn and soybean meal for all
fed animals. We received numerous
comments on this assumption. Many
commenters suggested that we adopt the
replacement rates included in the recent
research by Argonne National
Laboratory (ANL) and others.338 The
ANL study found that one pound of
DGS can be used to replace 1.196
pounds total of corn and soybean meal
for various fed animals due to the higher
nutritional content of DGS per pound
compared to corn and soybean meal. For
the final rulemaking analysis, these
replacement rates are incorporated in
both the FASOM and FAPRI–CARD
models, and are treated as a maximum
replacement rate possibility that is fully
phased in by 2015. In addition, the
maximum inclusion rates for DGS in an
animal’s diet have also been
incorporated into the models. Given
these parameters, each agriculture sector
model determines the total quantity of
DGS used in feed based on relative
prices for competing feed sources.
In addition, both FASOM and FAPRI–
CARD now explicitly model corn oil
from the dry mill ethanol extraction
process as a new source of biodiesel.
Based on engineering research (refer to
Section VII.A) regarding expected
technological adoption, it is estimated
that 70% of dry mill ethanol plants will
withdraw corn oil via extraction (from
DGS), resulting in corn oil that is nonfood grade and can only be used as a
biodiesel source; 20% will withdraw
corn oil via fractionation (prior to the
creation of DGS), resulting in corn oil
that is food-grade; and 10% will do
neither extraction or fractionation.
Based on this research, both the FASOM
and FAPRI–CARD models are
estimating that approximately 681
million gallons of biodiesel can be
produced from non-food grade corn oil
from extraction by 2022 in the Control
Case. Additional information regarding
these changes to the FASOM and
FAPRI–CARD models can be found in
RIA Chapter 5.
1. Biofuel Volumes Modeled
For the agricultural sector analysis
using the FASOM and FAPRI–CARD
models of the RFS2 biofuel volumes, we
assumed 15 billion gallons (Bgal) of
corn ethanol would be produced for use
as transportation fuel by 2022, an
increase of 2.7 Bgal from the Reference
Case. Also, we modeled 1.7 Bgal of
biodiesel use as fuel in 2022, an
increase of 1.3 Bgal from the Reference
Case. In addition, we modeled an
increase of 16 Bgal of cellulosic ethanol
in 2022. In FASOM, this volume
consists of 4.9 billion gallons of
cellulosic ethanol coming from corn
residue in 2022, 7.9 billion gallons from
switchgrass, 0.6 billion gallons from
sugarcane bagasse, and 0.1 billion
gallons from forestry residues.
Given the nature of the models, there
are some limitations on what each
model may explicitly model as a biofuel
feedstock source. For example, since
FASOM is a domestic agricultural sector
model it cannot be utilized to examine
the impacts of the wider use of biofuel
imports into the U.S. Similarly, the
FAPRI–CARD model does not explicitly
model the forestry sector in the U.S. and
therefore does not include biofuels
produced from the U.S. forestry sector.
Also, neither of the two models used for
this analysis—FASOM or FAPRI–
CARD—include biofuels derived from
domestic municipal solid waste. Thus,
for the RFS2 agricultural sector analysis,
these biofuel sources are analyzed
outside of the agricultural sector
models.
All of the results presented in this
section are relative to the AEO 2007
Reference Case renewable fuel volumes,
which include 12.3 Bgal of grain-based
ethanol, 0.4 Bgal of biodiesel, and 0.3
Bgal of cellulosic ethanol in 2022. The
domestic figures are provided by
FASOM, and all of the international
numbers are provided by FAPRI–CARD.
The detailed FASOM results, detailed
FAPRI–CARD results, and additional
sensitivity analyses are described in
more detail in the RIA.
TABLE VIII.A.1–1—ETHANOL SOURCE VOLUMES MODELED IN 2022
[Billions of gallons]
AEO 2007
reference
case
Ethanol source
Corn Ethanol ............................................................................................................................................
Corn Residue Cellulosic Ethanol * ...........................................................................................................
Sugarcane Bagasse Cellulosic Ethanol * ................................................................................................
Switchgrass Cellulosic Ethanol * ..............................................................................................................
Forestry Residue Cellulosic Ethanol * .....................................................................................................
Net Imports of Sugarcane Ethanol ** .......................................................................................................
Other Ethano *** .......................................................................................................................................
12.3
0
0.2
0
0
0.6
0.1
Control
case
Change
15.0
4.9
0.6
7.9
0.1
2.2
2.6
2.7
4.9
0.4
7.9
0.1
1.6
2.5
* Cellulosic Ethanol feedstocks are not explicitly modeled in FAPRI–CARD.
** Net Imports of Sugarcane Ethanol is not explicitly modeled in FASOM.
*** Includes MSW, which is not explicitly modeled by either FASOM or FAPRI–CARD.
TABLE VIII.A.1–2—BIODIESEL SOURCE VOLUMES MODELED IN 2022
[Millions of gallons]
AEO 2007
reference
case
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Biodiesel source
Soybean Oil .............................................................................................................................................
Corn Oil (Dry Mill Extraction) ...................................................................................................................
Animal Fats ..............................................................................................................................................
Yellow Grease .........................................................................................................................................
338 Salil Arora, May Wu, and Michael Wang,
‘‘Update of Distillers Grains Displacement Ratios for
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119.9
0.4
93.9
170.9
Control
case
659.4
681.3
126.9
253.1
Change
539.5
680.8
33.0
82.3
See https://www.transportation.anl.gov/pdfs/AF/
527.pdf.
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2. Commodity Price Changes
For the scenario modeled, FASOM
predicts that in 2022 U.S. corn prices
would increase by $0.27 per bushel
(8.2%) above the Reference Case price of
$3.32 per bushel. By 2022, U.S. soybean
prices would increase by $1.02 per
bushel (10.3%) above the Reference
Case price of $9.85 per bushel. In 2022,
U.S. soybean oil prices would increase
$183.32 per ton (37.9%) above the
Reference Case price of $483.10 per ton.
Hardwood lumber prices are unaffected
by the increase in biofuel demand,
however softwood lumber prices
increase by $0.46 per board foot (0.1%)
in 2022 to $386 per board foot.
Additional price impacts are included
in Section 5 of the RIA.
TABLE VIII.A.2–1—CHANGE IN U.S. COMMODITY PRICES FROM THE AEO 2007 REFERENCE CASE
[2007$]
Commodity
Change
Corn ...............................................................................................
Soybeans ......................................................................................
Soybean Oil ...................................................................................
Hardwood Lumber .........................................................................
Softwood Lumber ..........................................................................
0.27/bushel ..................................................................................
1.02/bushel ..................................................................................
183.32/ton ....................................................................................
0.00/board foot .............................................................................
0.46/board foot .............................................................................
By 2022, the price of switchgrass
would increase by $20.12 per wet ton to
the Control Case price of $40.85 per wet
ton. Additionally, the farm gate
feedstock price of corn residue would
increase by $29.48 per wet ton to the
Control Case price of $34.49 per wet
ton. The price of sugarcane bagasse
would increase $23.27 to the Control
Case price of $29.70 per wet ton by
2022. Softwood logging residue prices
would increase $8.99 per wet ton to
$18.37 per wet ton in the Control Case
in 2022. Similarly, the price of
hardwood logging residues would
increase by $17.85 per wet ton to the
% Change
8.2
10.3
37.9
0
0.1
Control Case price of $23.22 per wet ton
in 2022. These prices do not include the
storage, handling, or delivery costs,
which would result in a delivered price
to the ethanol facility of at least twice
the farm gate cost, depending on the
region.
TABLE VIII.A.2–2—CHANGE IN U.S. CELLULOSIC FEEDSTOCK PRICES FROM THE AEO 2007 REFERENCE CASE
[2007$]
Commodity
Control case price
Switchgrass .......................................................
Corn Residue .....................................................
Sugarcane Bagasse ..........................................
Softwood Logging Residue ...............................
Hardwood Logging Residue ..............................
$40.85/wet ton ..................................................
34.49/wet ton ....................................................
29.70/wet ton ....................................................
18.37/wet ton ....................................................
23.22 .................................................................
3. Impacts on U.S. Farm Income
(¥8.2%) to 2.1 billion bushels by 2022.
In value terms, U.S. exports of corn
would fall by $57 million (¥0.8%) to
$7.5 billion in 2022. U.S. exports of
soybeans would also decrease due to the
increased use of renewable fuels.
FASOM estimates that U.S. exports of
soybeans would decrease 135 million
bushels (¥13.6%) to 858 million
bushels by 2022. In value terms, U.S.
exports of soybeans would decrease by
$453 million (¥4.6%) to $9.3 billion in
2022.
The increase in renewable fuel
production provides a significant
increase in net farm income to the U.S.
agricultural sector. FASOM predicts that
net U.S. farm income would increase by
$13 billion dollars in 2022 (36%),
relative to the AEO 2007 Reference
Case.
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4. Commodity Use Changes
Changes in the consumption patterns
of U.S. corn can be seen by the
increasing percentage of corn used for
ethanol. FASOM estimates the amount
of domestically produced corn used for
ethanol in 2022 would increase to
40.5%, relative to the 33.2% usage rate
under the Reference Case.
The rising price of corn and soybeans
in the U.S. would also have a direct
impact on how corn is used. Higher
domestic corn prices would lead to
lower U.S. exports as the world markets
shift to other sources of these products
or expand the use of substitute grains.
FASOM estimates that U.S. corn exports
would drop 188 million bushels
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Change
TABLE VIII.A.4–1—CHANGE IN U.S.
EXPORTS FROM THE AEO 2007
REFERENCE CASE IN 2022
Change
(millions)
PO 00000
TABLE VIII.A.4–1—CHANGE IN U.S.
EXPORTS FROM THE AEO 2007
REFERENCE CASE IN 2022—Continued
Change
(millions)
Total Value of Exports
Corn (2007$) ........
Soybeans (2007$)
¥ $57
¥ $453
Fmt 4701
¥188
¥8.2
¥135
TABLE VIII.A.4–2—PERCENT CHANGE
IN U.S. LUMBER PRODUCTION FROM
THE AEO 2007 REFERENCE CASE IN
2022
¥13.6
Sfmt 4700
¥0.8
¥4.6
Lumber production in the U.S. is
affected as well, as forestry acres
decrease as a result of expanding crop
acres (see below). In 2022, hardwood
lumber production increases by 0.2%,
and softwood production decreases by
¥0.2%.
Commodity
Hardwood Lumber ......................
Frm 00169
% Change
% Change
Exports
Corn in Bushels ....
Soybeans in Bushels ......................
$20.12/wet ton.
29.48/wet ton.
23.27/wet ton.
8.99/wet ton.
17.85/wet ton.
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TABLE VIII.A.4–2—PERCENT CHANGE
IN U.S. LUMBER PRODUCTION FROM
THE AEO 2007 REFERENCE CASE IN
2022—Continued
Commodity
% Change
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Softwood Lumber .......................
¥0.2
Higher U.S. demand for corn for
ethanol production would cause a
decrease in the use of corn for U.S.
livestock feed. Substitutes are available
for corn as a feedstock, and this market
is price sensitive. Several ethanol
processing byproducts could also be
used to replace a portion of the corn
used as feed, depending on the type of
animal. One of the major byproducts of
the ethanol production process that can
be used as a feed source, and as a
substitute for corn and soybean meal, is
distiller grains with solubles (DGS).
DGS are a by-product of the dry mill
ethanol production process. As
discussed above, the replacement rates
of DGs for corn and soybean meal in the
diets of fed animals is higher than what
was used in the proposal based on the
latest scientific research regarding
nutritional content of feed sources. In
addition, as discussed above and in
Chapter VI, there are new processes for
withdrawing corn oil from the dry mill
ethanol production process. Therefore,
we are now modeling two types of DGS:
Those that are created during the
extraction/fractionation process
(fractionated DGS), and those created in
plants that do not conduct fractionation
or extraction (traditional DGS). In
addition, other byproducts that can be
used as feed substitutes include gluten
meal and gluten feed, which are
byproducts of wet milling ethanol
production. In 2022, traditional DGS
used in feed decreases by 27.5 million
tons from the Reference Case to 6.5
million tons in the Control Case.
However, the use of fractionated DGS
increases by 32.7 million tons from 20
thousand tons used in the Reference
Case in 2022. Gluten meal used in feed
decreases by 0.1 million tons (¥4.5%)
to 2.1 million tons in the Control Case.
Gluten feed use increases by 0.3 million
tons (6.4%) in 2022 to 4.8 million tons
in the Control Case. By 2022, FASOM
predicts total ethanol byproducts used
in feed would increase by 5.4 million
tons (13.2%) to 46.1 million tons,
compared to 40.8 million tons under the
Reference Case.
switchgrass acres from nearly zero acres
in the Reference Case, to 12.5 million
acres in the Control Case as demand for
cellulosic ethanol increases between
cases. Similarly, as demand for
[Millions of tons]
cellulosic ethanol from bagasse
increases, sugarcane acres increase by
Control
Category
Change
0.1 million acres (20%) to 0.9 million
case
acres by 2022. Although we received
DGS (Traditional) ..
6.5
¥27.5 comments suggesting that acres enrolled
DGS (Fractionated)
32.7
32.7 in the Conservation Reserve Program
Gluten Meal ..........
2.1
¥0.1 (CRP) may decrease below the 32
Gluten Feed ..........
4.8
0.3 million acres assumed in the NPRM, we
did not revise this assumption for
Total Ethanol
Byproducts .....
46.1
5.4 several reasons. First, the commodity
price changes predicted by FASOM are
relatively modest and would therefore
The EISA cellulosic ethanol
requirements result in the production of have a limited impact on the decision to
re-enroll in the program. Second, the
residual agriculture and forestry
CRP program is designed to allow for
products, as well as dedicated energy
increased payment if land rental rates
crops. By 2022, FASOM predicts
increase. Therefore, for the reasons
production of 97.4 million tons of
outlined in the NPRM, we believe the
switchgrass and 59.9 million tons of
assumption that CRP acres will not drop
corn residue. Sugarcane bagasse for
below 32 million acres is a plausible
cellulosic ethanol production increases
future projection.
by 6 million tons to 9.6 million tons in
2022 relative to the Reference Case. In
TABLE VIII.A.5–1—CHANGE IN U.S.
addition, FASOM predicts production
of 1.7 million tons of forestry residues
CROP ACRES RELATIVE TO THE
for cellulosic ethanol production.
AEO 2007 REFERENCE CASE IN
TABLE VIII.A.4–3—CHANGE IN ETHANOL BYPRODUCTS USE IN FEED
RELATIVE TO THE AEO 2007 REFERENCE CASE
5. U.S. Land Use Changes
Higher U.S. corn prices would have a
direct impact on the value of U.S.
agricultural land. As demand for corn
and other farm products increases, the
amount of land devoted to cropland
production would increase. FASOM
estimates an increase of 3.6 million
acres (4.6%) in harvested corn acres,
relative to 77.9 million acres harvested
under the Reference Case by 2022.339
Most of the new corn acres come from
a reduction in existing crop acres, such
as rice, wheat, and hay.
Though demand for biodiesel
increases, FASOM predicts a fall in U.S.
soybean acres harvested. According to
the model, harvested soybean acres
would decrease by approximately 1.4
million acres (¥2.1%), relative to the
Reference Case acreage of 68.1 million
acres in 2022. Despite the decrease in
soybean acres in 2022, soybean oil
production would increase by 0.5
million tons (4.7%) by 2022 over the
Reference Case. This occurs due to the
decrease in soybean exports mentioned
above. Additionally, FASOM predicts
that soybean oil exports would decrease
1.2 million tons by 2022 (¥51%)
relative to the Reference Case.
As the demand for cellulosic ethanol
increases, most of the production is
derived from switchgrass. By 2022,
339 Total U.S. planted corn acres increases to 87.1
million acres from the Reference Case level of 83.5
million acres in 2022.
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2022
[Millions of acres]
Crop
Change
Corn ......................
Soybeans ..............
Sugarcane ............
Switchgrass ..........
3.6
¥1.4
0.1
12.5
% Change
4.6
¥2.1
20
20,000
With the increase in biofuel demand
that results from the implementation of
the RFS2 policy, there is an increase of
3.1 million acres are dedicated towards
crop production. This increase in crop
acres results in a decrease of ¥1.9
million pasture acres, an increase of 1.1
million acres of forest pasture, and a
decrease of 1.2 million forestry acres.
TABLE VIII.A.5–2—CHANGE IN U.S.
CROP ACRES RELATIVE TO THE
AEO 2007 REFERENCE CASE IN
2022
[Millions of acres]
Land type
Cropland ...............
Cropland Pasture ..
Forest Pasture ......
Forestry .................
Change
3.1
¥1.9
1.1
¥1.2
% Change
1.0
¥5.8
0.7
¥0.3
The additional demand for corn and
other crops for biofuel production also
results in increased use of fertilizer in
the U.S. In 2022, FASOM estimates that
U.S. nitrogen fertilizer use would
increase 1.5 billion pounds (5.7%) over
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Case. The impact on world soybean
prices is somewhat smaller, increasing
$0.08 per bushel (0.8%) to $9.63 per
bushel in 2022.
This increase in international
commodity prices has a direct impact
on world food consumption.344 The
FAPRI–CARD model indicates that
TABLE VIII.A.5–3—CHANGE IN U.S.
FERTILIZER USE RELATIVE TO THE world consumption of corn for food
would decrease by 0.6 million metric
AEO 2007 REFERENCE CASE
tons in 2022 relative to the Reference
[Millions of pounds]
Case. Similarly, the FAPRI–CARD
Fertilizer
Change
% Change model estimates that world
consumption of oil for food (e.g.,
Nitrogen ................
1,501
5.7 vegetable oils) decreases by 1.7 million
Phosphorous .........
714
12.7 metric tons by 2022. Wheat
consumption is not estimated to change
substantially in 2022. The model also
6. Impact on U.S. Food Prices
estimates a small change in world meat
Due to higher commodity prices,
consumption, decreasing by -0.1 million
FASOM estimates that U.S. food
metric tons in 2022. When considering
340 would increase by roughly $10
costs
all the food uses included in the model,
per person per year by 2022, relative to
world food consumption decreases by
341 Total effective
the Reference Case.
2.4 million metric tons by 2022
farm gate food costs would increase by
(¥0.11%). While FAPRI–CARD
$3.6 billion (0.2%) in 2022.342 To put
provides estimates of changes in world
these changes in perspective, average
food consumption, estimating effects on
U.S. per capita food expenditures in
2007 were $3,778 or approximately 10% global nutrition is beyond the scope of
of personal disposable income. The total this analysis.
amount spent on food in the U.S. in
TABLE VIII.A.7–1—CHANGE IN WORLD
2007 was $1.14 trillion dollars.343
the Reference Case nitrogen fertilizer
use of 26.2 billion pounds. In 2022, U.S.
phosphorous fertilizer use would
increase by 714 million pounds (12.7%)
relative to the Reference Case level of
5.6 billion pounds.
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7. International Impacts
Changes in the U.S. agriculture
economy are likely to have affects in
other countries around the world in
terms of trade, land use, and the global
price and consumption of fuel and food.
We utilized the FAPRI–CARD model to
assess the impacts of the increased use
of renewable fuels in the U.S. on world
agricultural markets.
The FAPRI–CARD modeling shows
that world corn prices would increase
by $0.12 per bushel (3.1%) to $3.88 per
bushel in 2022, relative to the Reference
340 FASOM does not calculate changes in price to
the consumer directly. The proxy for aggregate food
price change is an indexed value of all food prices
at the farm gate. It should be noted, however, that
according to USDA, approximately 80% of
consumer food expenditures are a result of handling
after it leaves the farm (e.g., processing, packaging,
storage, marketing, and distribution). These costs
consist of a complex set of variables, and do not
necessarily change in proportion to an increase in
farm gate costs. In fact, these intermediate steps can
absorb price increases to some extent, suggesting
that only a portion of farm gate price changes are
typically reflected at the retail level. See https://
www.ers.usda.gov/publications/foodreview/
septdec00/FRsept00e.pdf.
341 These estimates are based on U.S. Census
population projections of 331 million people in
2017 and 348 million people in 2022. See https://
www.census.gov/population/www/projections/
summarytables.html.
342 Farm Gate food prices refer to the prices that
farmers are paid for their commodities.
343 See www.ers.usda.gov/Briefing/
CPIFoodAndExpenditures/Data/table15.htm.
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FOOD CONSUMPTION RELATIVE TO
THE AEO 2007 REFERENCE CASE
[Millions of metric tons]
Category
2022
Corn ..................................................
Wheat ...............................................
Vegetable Oils ..................................
Meat ..................................................
¥0.6
0.0
¥1.7
¥0.1
Total Food .....................................
¥2.4
Additional information on the U.S.
agricultural and forestry sectors, as well
as international trade impacts are
described in more detail in the RIA
(Chapter 5).
B. Energy Security Impacts
Increasing usage of renewable fuels
helps to reduce U.S. petroleum imports.
A reduction of U.S. petroleum imports
reduces both financial and strategic
risks associated with a potential
disruption in supply or a spike in cost
of a particular energy source. This
reduction in risks is a measure of
improved U.S. energy security. In this
section, we detail an updated
methodology for estimating the energy
security benefits of reduced U.S. oil
imports which explicitly includes
344 The food commodities included in the FAPRI
model include corn, wheat, sorghum, barley,
soybeans, sugar, peanuts, oils, beef, pork, poultry,
and dairy products.
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14839
biofuels and, based upon this updated
approach, we estimate the monetary
value of the energy security benefits of
the RFS2 required renewable fuel
volumes.
1. Implications of Reduced Petroleum
Use on U.S. Imports
In 2008, U.S. petroleum import
expenditures represented 21% of total
U.S. imports of all goods and
services.345 In 2008, the U.S. imported
66% of the petroleum it consumed, and
the transportation sector accounted for
70% of total U.S. petroleum
consumption. This compares to
approximately 37% of petroleum from
imports and 55% consumption of
petroleum in the transportation sector in
1975.346 It is clear that petroleum
imports have a significant impact on the
U.S. economy. Requiring the wider use
of renewable fuels in the U.S. is
expected to lower U.S. petroleum
imports.
For this final rule, EPA estimated the
reductions in U.S. petroleum imports
using a modified version of the National
Energy Modeling System (EPA–NEMS).
EPA–NEMS is an energy-economy
modeling system of U.S. energy markets
through the 2030 time period. EPA–
NEMS projects U.S. production,
imports, conversion, consumption, and
prices of energy; subject to assumptions
on world energy markets, resource
availability and costs, behavioral and
technological choice criteria, cost and
performance characteristics of energy
technologies, and demographics. For
this analysis, the 2009 NEMS model was
modified to use the 2007 (pre-EISA)
Annual Energy Outlook (AEO) levels of
biofuels in the Reference Case. These
results were compared to our Control
Case, which assumes the renewable fuel
volumes required by EISA will be met
by 2022. The reductions in U.S. oil
imports projected by EPA–NEMS as a
result of the RFS2 is approximately 0.9
million barrels per day, which amounts
to about $41.5 billion in lower crude oil
and refined product import payments in
2022.
2. Energy Security Implications
In order to understand the energy
security implications of the increased
use of renewable fuels, EPA used the Oil
345 Source: U.S. Bureau of Economic Analysis,
U.S. International Transactions Accounts Data, as
shown on June 24, 2009.
346 Source: U.S. Department of Energy, Annual
Energy Review 2008, Report No. DOE/EIA–
0384(2008), Tables 5.1 and 5.13c, June 26, 2009.
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Security Metrics Model 347 348 (OSMM),
developed and maintained by Oak Ridge
National Laboratory. This model
examines the future economic costs of
oil imports and oil supply disruptions
to the U.S., grouping costs into (1) the
higher costs for oil imports resulting
from the effect of U.S. import demand
on the world oil price and OPEC market
power (i.e., the ‘‘import demand’’ or
‘‘monopsony’’ costs); and (2) the
expected cost of reductions in U.S.
economic output and disruption of the
U.S. economy caused by sudden
disruptions in the supply of imported
oil to the U.S. (i.e., macroeconomic
disruption/adjustment costs). Beginning
with Reference projections for the oil
and liquid fuel markets from the EIA’s
2009 AEO, the OSMM compares costs
under those futures with selected cases
under differing energy policies and
technology mixes. It provides measures
of expected costs and risk by
probabilistic simulation through 2022.
Uncertainty is inherent in energy
security analysis, and it is explicitly
represented for long-run future oil
market conditions, disruption events,
and key parameters.
An important aspect of the OSMM is
that it explicitly addresses the energy
security implications of the wider use of
biofuels as transportation fuels in the
U.S. Increased use of biofuels not only
results in changes in the levels of U.S.
oil imports and consumption, but also
can alter key supply and demand oil
elasticities. The elasticities are
significant for energy security since they
measure the potential for substitution
away from oil, in the long and short-run,
depending on how oil prices evolve and
whether oil supply disruptions occur.
Also, the OSMM accounts for the
potential of supply disruptions from
biofuels. For example, there could be a
drought in the U.S. that could cause a
347 The OSMM methods are consistent with the
recommended methodologies of the National
Resource Council’s (NRC’s) (2005) Committee on
Prospective Benefits of DOE’s Energy Efficiency and
Fossil Energy R&D Programs. The OSMM defines
and implements a method that makes use of the
NRC’s typology of prospective benefits and
methodological framework, satisfies the NRC’s
criteria for prospective benefits evaluation, and
permits measurement of prospective energy security
benefits for policies and technologies related to oil.
It has been used to estimate the prospective oil
security benefits of Department of Energy’s Energy
Efficiency and Renewable Energy R&D programs,
and is also applicable to other strategies and
policies aimed at changing the level and
composition of U.S. petroleum demand. To evaluate
the RFS2, the OSMM was modified to include
supplies and demand of biofuels (principally
ethanol) as well as petroleum.
348 Leiby, P.N., Energy Security Impacts of
Renewable Fuel Use Under the RFS2 Rule—
Methodology, Oak Ridge National Laboratory,
January 19, 2010.
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reduction in the supply of key
agricultural feedstocks (i.e., corn) that
are used to make ethanol. To the extent
that supply disruptions in feedstocks
used to make biofuels are correlated
with oil supply disruptions, the energy
security benefits of biofuels may be
lessened, by substituting one fuel with
supply disruptions for another. For this
analysis, the energy security
implications of the wider use of biofuels
in the U.S. are broken down between
biofuels produced domestically (e.g.,
ethanol made from corn/switchgrass,
soy-based biodiesel) and imported
biofuels (e.g., ethanol made from
sugarcane).
For the proposed RFS2 rule, EPA
worked with Oak Ridge National
Laboratory (ORNL), which has
developed approaches for evaluating the
social costs and energy security
implications of oil use. In the study
entitled ‘‘The Energy Security Benefits of
Reduced Oil Use, 2006–2015,’’
completed in March, 2008, ORNL
updated and applied the analytical
approach used in the 1997 Report ‘‘Oil
Imports: An Assessment of Benefits and
Costs.’’ 349 350 This study is included as
part of the record in this rulemaking.351
This study underwent a Peer Review,
sponsored by the Agency.
The prior approach that ORNL has
developed estimates the incremental
benefits to society, in dollars per barrel,
of reducing U.S. oil imports, called the
‘‘oil import premium’’. With OSMM,
ORNL uses a consistent approach,
estimating the incremental cost to the
U.S. of the increased use of renewable
fuels required by EISA, and reporting
that cost in dollars per barrel of biofuel.
In this case, these increased volumes
alter both the U.S. oil import and
consumption levels, while introducing a
substitute fuel and altering demand
responsiveness. As before, OSMM
considers the economic cost of
importing petroleum into the U.S. The
economic cost of importing petroleum
into the U.S. was defined as (1) the
higher costs for oil imports resulting
from the effect of U.S. import demand
on the world oil price and OPEC market
power (i.e., ‘‘monopsony’’ costs); and (2)
349 Leiby, Paul N., Donald W. Jones, T. Randall
Curlee, and Russell Lee, Oil Imports: An
Assessment of Benefits and Costs, ORNL–6851, Oak
Ridge National Laboratory, November, 1997.
350 The 1997 ORNL paper was cited and its
results used in DOT/NHTSA’s rules establishing
CAFE standards for 2008 through 2011 model year
light trucks. See DOT/NHTSA, Final Regulatory
Impacts Analysis: Corporate Average Fuel Economy
and CAFE Reform MY 2008–2011, March 2006.
351 Leiby, Paul N. ‘‘Estimating the Energy Security
Benefits of Reduced U.S. Oil Imports,’’ Oak Ridge
National Laboratory, ORNL/TM–2007/028, Final
Report, 2008.
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the risk of reductions in U.S. economic
output and disruption of the U.S.
economy caused by sudden disruptions
in the supply of imported oil to the U.S.
(i.e., macroeconomic disruption/
adjustment costs). Maintaining a U.S.
military presence to help secure stable
oil supply from potentially vulnerable
regions of the world is also a measure
of energy security, but has been
excluded from this analysis because its
attribution to particular military
missions or activities is difficult.
a. Effect of Oil Use on Long-Run Oil
Price, U.S. Import Costs, and Economic
Output
The first component of the economic
costs of importing petroleum into the
U.S. follows from the effect of U.S.
import demand on the world oil price
over the long-run. Because the U.S. is a
sufficiently large purchaser of foreign
oil supplies, its purchases can affect the
world oil price. This monopsony power
means that increases in U.S. petroleum
demand can cause the world price of
crude oil to rise, and conversely, that
reduced U.S. petroleum demand can
reduce the world price of crude oil.
Thus, one benefit of decreasing U.S. oil
purchases is the potential decrease in
the crude oil price paid for all crude oil
purchased.
In the case of the RFS2, increasing
U.S. demand for biofuels partially
offsets the U.S. oil market import cost
reduction. The offset is because the
RFS2 results in a modest increases in
biofuels imported to the U.S. (1.6 billion
gallons in 2022), and a modest increase
in the world ethanol price (from $1.48/
gallon to $1.61/gallon, a $0.13/gallon
increase in 2022). Thus, the biofuels
that the U.S. had imported would be
higher priced, partially offsetting the
reduction in U.S. oil import costs. The
ORNL estimates this monopsony
component of the energy security
benefit (oil market and biofuel market
impacts combined) is $7.86/barrel of
biofuel (2007$) for the year 2022, as
shown in Table VIII.B.2–1. Based upon
the 90 percent confidence interval, the
monopsony portion of the energy
security benefit ranges from $5.37 to
$10.71/barrel of biofuel in the year
2022.
b. Short-Run Disruption Premium From
Expected Costs of Sudden Supply
Disruptions
The second component of the external
economic costs resulting from U.S. oil
imports arises from the vulnerability of
the U.S. economy to oil shocks. The cost
of shocks depends on their likelihood,
size, and length; the capabilities of the
market and U.S. Strategic Petroleum
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Reserve (SPR) to respond; and the
sensitivity of the U.S. economy to
sudden price increases. The total
vulnerability of the U.S. economy to oil
price shocks depends on the levels of
both U.S. petroleum consumption and
imports. Variation in oil consumption
levels can change the sensitivity of the
economy to oil price shocks, and
variation in import levels or demand
flexibility can affect the magnitude of
potential increases in oil price due to
supply disruptions
A major strength of the OSMM is that
it addresses risk-shifting that might
occur as the U.S. reduces its
dependency on petroleum and increases
its use of biofuels, which the other ‘‘oil
premium model’’ could not. The prior
‘‘oil premium’’ analysis focused only on
the potential for biofuels to reduce U.S.
oil imports, and the resulting
implications of lower U.S. oil imports
for energy security. As the U.S. relies
more heavily on biofuels, such as cornbased ethanol, there could be adverse
consequences from a supply-disruption
perspective associated with, for
example, a long-term drought.
Alternatively, a supply disruption of
petroleum will more likely be caused by
geopolitical factors rather than extreme
weather conditions. Hence, the causal
factors of a supply-disruption from
imported petroleum and, alternatively,
biofuels, are likely to be unrelated.
Thus, diversifying the sources of U.S.
transportation fuel is expected to
provide energy security benefits. Biofuel
supply disruptions are represented
based on the historical volatility of
yields for biofuel feedstocks or similar
crops. The ORNL estimates this
macroeconomic/disruption component
of the energy security benefit (oil market
and biofuel market impacts combined)
is $6.56/barrel (2007$) for the year 2022,
as shown in Table VIII.B.2–1. Based
upon the 90 percent confidence interval,
the macroeconomic/disruption
component of the energy security
benefit ranges from $0.94 to $12.23/
barrel of biofuel in the year 2022.
c. Costs of Existing U.S. Energy Security
Policies
Another often-identified component
of the full economic costs of U.S. oil
imports is the costs to the U.S. taxpayers
of existing U.S. energy security policies.
The two primary examples are
maintaining a military presence to help
secure stable oil supply from potentially
vulnerable regions of the world and
maintaining the SPR to provide buffer
supplies and help protect the U.S.
economy from the consequences of
global oil supply disruptions.
U.S. military costs are excluded from
the analysis performed by ORNL
because their attribution to particular
missions or activities is difficult. Most
military forces serve a broad range of
security and foreign policy objectives.
Attempts to attribute some share of U.S.
military costs to oil imports are further
challenged by the need to estimate how
those costs might vary with incremental
variations in U.S. oil imports. In the
peer review of the energy security
analysis that the Agency commissioned,
a majority of peer reviewers believed
that U.S. military costs should be
excluded absence a widely agreed
methodology for estimating this
component of U.S. energy security.
Similarly, while the costs for building
and maintaining the SPR are more
clearly related to U.S. oil use and
imports, historically these costs have
not varied in response to changes in
U.S. oil import levels. Thus, while SPR
is factored into the ORNL analysis, the
cost of maintaining the SPR is excluded.
Some commenters felt that the
Agency should attempt to monetize U.S.
military costs and include these costs in
the energy security analysis, while other
commenters agreed with the Agency
that these costs should be excluded. The
Agency did not receive any new
analysis or methodological approach
from commenters which could be used
to monetize U.S. military costs in a
meaningful or credible manner. Since
U.S. military impacts are not factored
into the energy security analysis, they
are also excluded from the lifecycle
TABLE VIII.B.2–1—ENERGY SECURITY GHG analysis.
BENEFITS OF THE VOLUMES
QUIRED BY RFS2 IN 2022
[2007$ per barrel of biofuel]
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Component
Monopsony .......................
Macroeconomic Disruption
Total ..............................
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RE- 3. Combining Energy Security and Other
Benefits
The literature on the energy security
for the last two decades has routinely
combined the monopsony and the
7.86 macroeconomic disruption components
(5.37–10.71) when calculating the total value of the
6.56 energy security premium. However, in
(0.94–12.23) the context of using a global value for
the Social Cost of Carbon (SCC) the
14.42
(6.31–22.95) question arises: how should the energy
security premium be used when some
Estimate
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14841
benefits from the increased use of
renewable fuels, such as the benefits of
reducing greenhouse gas emissions, are
calculated at a global level? Monopsony
benefits represent avoided payments by
the U.S. to oil producers in foreign
countries that result from a decrease in
the world oil price as the U.S. decreases
its consumption of imported oil (net of
increased imported biofuel payments by
the U.S.). Although there is clearly a
benefit to the U.S. when considered
from the domestic perspective, the
decrease in price due to decreased
demand in the U.S. also represents a
loss to other countries. Given the
redistributive nature of this effect, do
the negative effects on other countries
‘‘net out’’ the positive impacts to the
U.S.? If this is the case, then, the
monopsony portion of the energy
security premium should be excluded
from the net benefits calculation. Based
on this reasoning, EPA’s estimates of net
benefits for the increased use of
renewable fuels required by EISA
exclude the portion of energy security
benefits stemming from the U.S.
exercising its monopsony power in oil
markets. Thus, EPA only includes the
macroeconomic disruption/adjustment
cost portion of the energy security
premium.
However, even when the global value
for greenhouse gas reduction benefits is
used, a strong argument can be made
that the monopsony benefits should be
included in net benefits calculation.
Maintaining the earth’s climate is a
global public good and as such requires
that a global perspective be taken on the
benefits of GHG mitigation by all
nations, including the U.S. The global
SCC is used in these calculations, not
because the global net benefits of the
increased use of renewable fuels are
being computed (they are not), but
rather because in the context of a global
public good, the global marginal benefit
is the correct benefit against which
domestic costs are to be compared. In
other words, using the global SCC does
not transform the calculation from a
domestic (i.e., U.S.) to a global one.
Rather, the domestic perspective is
maintained while recognizing that the
impacts from domestic GHG emissions
are truly global in nature.
Energy security, on the other hand, is
broadly defined as protecting the U.S.
economy against circumstances that
threaten significant short- and long-term
increases in energy costs. Energy
security is inherently a domestic
benefit. However, the use of the
domestic monopsony benefit is not
necessarily in conflict with the use of
the global SCC, because the global SCC
represents the benefits against which
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the costs associated with our (i.e., the
U.S.’s) domestic mitigation efforts
should be judged. In addition, the U.S.
values both maintaining the earth’s
climate and providing for its own
energy security. If this reasoning holds,
the two benefits—the global benefits of
reducing greenhouse gas emissions and
the full energy security premium,
including the monopsony benefits—
should be counted in the net benefits
estimates. In the final analysis, the
Agency determined that the first
argument is more compelling and
therefore has determined that using only
the macroeconomic disruption
component of the energy security
benefit is the appropriate metric for this
rule.
4. Total Energy Security Benefits
In 2022, total annual energy security
benefits are estimated for the difference
between the renewable fuel volumes in
the Primary Control Case (30.50 billion
gallons) and the AEO2007 Reference
Case (13.56 billion gallons). Total
annual energy security benefits are
calculated by multiplying the change in
renewable fuel volumes (16.94 billion
gallons or 403 million barrels) and the
macroeconomic disruption/adjustment
portion of the energy security premium
($6.56/barrel of renewable fuels). The
estimated total energy security benefit is
$2.6 billion (2007$) for the year 2022.
The estimated total energy security
benefit using the macroeconomic
disruption/adjustment portion of the
energy security benefit in 2022 ranges
from $379 million to $4.9 billion based
upon the 90 percent confidence
intervals.
C. Benefits of Reducing GHG Emissions
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1. Introduction
This section presents estimates of the
economic benefits that could be
monetized for the reductions in GHG
emissions projected to occur through
the increased use of renewable fuels
required by EISA. The total benefit
estimates were calculated by
multiplying a marginal dollar value (i.e.,
cost per ton) of carbon emissions, also
referred to as ‘‘social cost of carbon’’
(SCC), by the anticipated level of
emissions reductions in tons.
The SCC values underlying the
benefits estimates for this rule represent
U.S. government-wide interim values
for SCC. As discussed below, federal
agencies will use these interim values to
assess some of the economic benefits of
GHG reductions while an interagency
workgroup develops SCC values for use
in the long-term. The interim values
should not be viewed as an expectation
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about the results of the longer-term
process. Although these values were not
used in the NPRM, some commenters
raised issues with these values and the
methodology used to develop them in
response to their publication elsewhere.
Many of these issues are being
examined by the interagency
workgroup.
The rest of this Preamble section will
provide the basis for the interim SCC
values, and the estimates of the total
climate-related benefits of the increased
use of renewable fuels that follow from
these interim values. As discussed
below, the interim dollar estimates of
the SCC represent a partial accounting
of climate change impacts.
In addition to the quantitative account
presented in this section, a qualitative
appraisal of climate-related impacts is
published in Section V of today’s rule
and in other recent climate change
analyses. For example, EPA’s
Endangerment and Cause or Contribute
Findings for Greenhouse Gases under
Section 202(a) of the Clean Air Act and
the accompanying Technical Support
Document (TSD) presents a summary of
impacts and risks of climate change
projected in the absence of actions to
mitigate GHG emissions.352 The TSD
synthesizes major findings from the best
available scientific assessments of the
scientific literature that have gone
through rigorous and transparent peer
review, including the major assessment
reports of both the Intergovernmental
Panel on Climate Change (IPCC) and the
U.S. Climate Change Science Program
(CCSP).
2. Derivation of Interim Social Cost of
Carbon Values
The ‘‘social cost of carbon’’ (SCC) is
intended to be a monetary measure of
the incremental damage resulting from
carbon dioxide (CO2) emissions,
including (but not limited to) net
agricultural productivity loss, human
health effects, property damages from
sea level rise, and changes in ecosystem
services. Any effort to quantify and to
monetize the consequences associated
with climate change will raise serious
questions of science, economics, and
ethics. But with full regard for the limits
of both quantification and monetization
of impacts, the SCC can be used to
provide an estimate of the social
benefits of reductions in GHG
emissions.
352 See Federal Register/Vol. 74, No. 2398/
Wednesday, December 16, 2009/Rules and
Regulations at https://frwebgate4.access.gpo.gov/cgibin/PDFgate.cgi?WAISdocID=969788398047
+0+2+0&WAISaction=retrieve or https://epa.gov/
climatechange/endangerment.html.
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For at least three reasons, any
particular figure will be contestable.
First, scientific and economic
knowledge about the impacts of climate
change continues to grow. With new
and better information about relevant
questions, including the cost, burdens,
and possibility of adaptation, current
estimates will inevitably change over
time. Second, some of the likely and
potential damages from climate
change—for example, the loss of
endangered species—are generally not
included in current SCC estimates.
These omissions may turn out to be
significant in the sense that they may
mean that the best current estimates are
too low. As noted by the IPCC Fourth
Assessment Report, ‘‘It is very likely that
globally aggregated figures
underestimate the damage costs because
they cannot include many nonquantifiable impacts.’’ Third, when
economic efficiency criteria, under
specific assumptions, are juxtaposed
with ethical considerations, the
outcome may be controversial. These
ethical considerations, including those
involving the treatment of future
generations, should and will also play a
role in judgments about the SCC (see in
particular the discussion of the discount
rate, below).
To date, SCC estimates presented in
recent regulatory documents have
varied within and among agencies,
including DOT, DOE, and EPA. For
example, a regulation proposed by DOT
in 2008 assumed a value of $7 per
metric tonne CO2 353 (2006$) for 2011
emission reductions (with a range of $0–
14 for sensitivity analysis). One of the
regulations proposed by DOE in 2009
used a range of $0–$20 (2007$). Both of
these ranges were designed to reflect the
value of damages to the United States
resulting from carbon emissions, or the
‘‘domestic’’ SCC. In the final MY2011
CAFE EIS, DOT used both a domestic
SCC value of $2/t-CO2 and a global SCC
value of $33/t-CO2 (with sensitivity
analysis at $80/t-CO2) (in 2006 dollars
for 2007 emissions), increasing at 2.4%
per year thereafter. The final MY2011
CAFE rule also presented a range from
$2 to $80/t-CO2.
In the May 2009 proposal leading to
today’s final rule, EPA identified
preliminary SCC estimates that spanned
three orders of magnitude. EPA’s May
353 For the purposes of this discussion, we
present all values of the SCC as the cost per metric
tonne of CO2 emissions. Some discussions of the
SCC in the literature use an alternative presentation
of a dollar per metric ton of carbon. The standard
adjustment factor is 3.67, which means, for
example, that a SCC of $10 per ton of CO2 would
be equivalent to a cost of $36.70 for a ton of carbon
emitted. Unless otherwise indicated, a ‘‘ton’’ refers
to a metric ton.
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2009 proposal also presented
preliminary global SCC estimates
developed from a survey analysis of the
peer reviewed literature (i.e., meta
analysis). The global mean values from
the meta analysis were $68 and $40/tCO2 for discount rates of 2% and 3%
respectively (in 2006 real dollars for
2007 emissions).354
Since publication of the May 2009
proposal, a federal interagency working
group has established a methodology for
selecting a range of interim SCC
estimates for use in regulatory analyses.
Today’s final rule uses the five values
for the SCC that are the outcome of this
process. A complete description of the
methodology used to generate this
interim set of SCC estimates can be
found in the RIA for this rule and in
multiple other published rules,
including a proposal to limit vehicle
greenhouse gas emissions that requests
public comment on the estimates and
underlying methodology.355
It should be emphasized that the
analysis here is preliminary. These
interim estimates are being used for the
short-term while an interagency group
develops a more comprehensive
characterization of the distribution of
SCC values for future economic and
regulatory analyses. The interim values
should not be viewed as an expectation
about the results of the longer-term
process.
This process will allow the
workgroup to explore questions raised
in the May 2009 proposal as they are
relevant to the development of SCC
values for use in the long-term. The
workgroup may evaluate factors not
currently captured in today’s estimates
due to time constraints, such as the
quantification of additional impact
categories where possible and an
uncertainty analysis. The
Administration will seek comment on
all of the scientific, economic, and
ethical issues before establishing
improved estimates for use in future
rulemakings.
The outcomes of the Administration’s
process to develop interim values are
judgments in favor of a) global rather
than domestic values, b) an annual
growth rate of 3%, and c) interim global
SCC estimates for 2007 (in 2007 dollars)
of $56, $34, $20, $10, and $5 per metric
ton of CO2. As noted, this is an
emphatically interim SCC value. The
judgments herein will be subject to
further scrutiny and exploration.
3. Application of Interim SCC Estimates
to GHG Emissions Reductions
While no single rule or action can
independently achieve the deep
worldwide emissions reductions
14843
necessary to halt and reverse the growth
of GHGs, the combined effects of
multiple strategies to reduce GHG
emissions domestically and abroad
could make a major difference in the
climate change impacts experienced by
future generations.356 The projected net
GHG emissions reductions associated
with the increased use of renewable
fuels reflect an incremental change to
projected total global emissions. Given
that the climate response is projected to
be a marginal change relative to the
baseline climate, we estimate the
marginal value of changes in climate
change impacts over time and use this
value to measure the monetized
marginal benefits of the GHG emissions
reductions projected for the increased
renewable fuel volumes required by
EISA.
Accordingly, EPA has used the set of
interim, global SCC values described
above to estimate the benefits of the
increased use of renewable fuels. The
interim SCC values for emissions in
2007, which reflect the Administration’s
interim interpretation of the current
literature, are $5, $10, $20, $34, and
$56, in 2007 dollars, and are based on
a CO2 emissions change of 1 metric ton
in 2007. Table VIII.C.3–1 presents the
interim SCC values for both the years
2007 and 2022 in 2007 dollars.
TABLE VIII.C.3–1—INTERIM SCC SCHEDULE (2007$ PER METRIC TONNE OF CO2)
Year
5%
(Newell-Pizer)*
5%
2007 .......................................................
2022 .......................................................
$5
8
Average SCC
from 3% and 5%
$10
16
3%
(Newell-Pizer)*
3%
$20
30
$34
53
$56
88
Note: The SCC values are dollar-year and emissions-year specific. These values are presented in 2007$, for individual year of emissions. To
determine values for other years not presented in the table, use a 3% per year growth rate. SCC values represent only a partial accounting for
climate impacts.
* SCC values are adjusted based on Newell and Pizer (2003) to account to future uncertainty in discount rates.
Table VIII.C.3–2 provides, for the low,
base, and high cases, the average annual
GHG emissions reductions in 2022. The
annualized emissions reductions are
multiplied by the SCC estimates for
2022 from Table VIII.C.3–1 to produce
the average annual monetized benefit
from the emissions reductions for CO2equivalent GHGs. This is equivalent to
taking the time stream of emissions from
the increase in renewable fuel volumes,
multiplying them by the SCC (which is
increasing at a rate of 3 percent per
year), and then discounting the stream
of benefits by 3 percent.
TABLE VIII.C.3–2—AVERAGE ANNUAL EMISSIONS REDUCTION (MILLION METRIC TONNES CO2-e) AND MONETIZED
BENEFITS (MILLION 2007$) IN 2022
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Low case
Emissions Reductions .................................................................................................................
5% ................................................................................................................................................
5% (Newell-Pizer) ........................................................................................................................
Average SCC from 3% and 5% ..................................................................................................
3% ................................................................................................................................................
354 74
FR 25094 (May 26, 2009).
Register 40 CFR Parts 86 and 600,
September 28, 2009 ‘‘Proposed Rulemaking To
Establish Light-Duty Vehicle Greenhouse Gas
355 Federal
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Emission Standards and Corporate Average Fuel
Economy Standards; Proposed Rule’’.
356 The Supreme Court recognized in
Massachusetts v. EPA that a single action will not
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136.104
$1,089
$2,178
$4,138
$7,186
Base case
138.411
$1,107
$2,215
$4,208
$7,308
High case
140.291
$1,122
$2,245
$4,265
$7,407
on its own achieve all needed GHG reductions,
noting that ‘‘[a]gencies, like legislatures, do not
generally resolve massive problems in one fell
regulatory swoop.’’ See Massachusetts v. EPA, 549
U.S. at 524 (2007).
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TABLE VIII.C.3–2—AVERAGE ANNUAL EMISSIONS REDUCTION (MILLION METRIC TONNES CO2-e) AND MONETIZED
BENEFITS (MILLION 2007$) IN 2022—Continued
Low case
3% (Newell-Pizer) ........................................................................................................................
Table VIII.C.3–3 provides, for the
high, base, and low cases, the monetized
benefits from the emissions reductions
from the increase in renewable fuel
volumes for CO2-equivalent GHGs in
2022. The SCC estimates for 2022
increase at a rate of 3 percent per year,
and are then multiplied by the stream of
emissions for each respective year for 30
years. The monetized benefits in table
$11,976
Base case
$12,179
High case
$12,344
VIII.C.3–3 represent the net present
value of these emissions for 30 years
using a discount rate of 7 percent.
TABLE VIII.C.3–3—MONETIZED BENEFITS (MILLION 2007$) OF RFS–2 VOLUMES IN 2022 USING A 7% DISCOUNT RATE
High
5% ................................................................................................................................................
5% (Newell-Pizer) ........................................................................................................................
Average SCC from 3% and 5% ..................................................................................................
3% ................................................................................................................................................
3% (Newell-Pizer) ........................................................................................................................
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D. Criteria Pollutant Health and
Environmental Impacts
1. Overview
This section describes EPA’s analysis
of the co-pollutant health and
environmental impacts that can be
expected to occur as a result of the
increase in renewable fuel use
throughout the period from initial
implementation of the RFS2 rule
through 2022. Although the purpose of
this final rule is to implement the
renewable fuel requirements established
by the Energy Independence and
Security Act (EISA) of 2007, the
increased use of renewable fuels will
also impact emissions of criteria and air
toxic pollutants and their resultant
ambient concentrations. The fuels
changes detailed in Section 3.1 of the
RIA will influence emissions of VOCs,
PM, NOX, and SOX and air toxics and
affect exhaust and evaporative
emissions of these pollutants from
vehicles and equipment. They will also
affect emissions from upstream sources
such as fuel production, storage,
distribution and agricultural emissions.
Any decrease or increase in ambient
ozone, PM2.5, and air toxics associated
with the increased use of renewable
fuels will impact human health in the
form of a decrease or increase in the risk
of incurring premature death and other
serious human health effects, as well as
other important public health and
welfare effects.
This analysis reflects the impact of
the 2022 mandated renewable fuel
volumes (the ‘‘RFS2 control case’’)
compared with two different reference
scenarios that include the use of
renewable fuels: a 2022 baseline
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projection based on the RFS1-mandated
volume of 7.1 billion gallons of
renewable fuels, and a 2022 baseline
projection based on the AEO 2007
volume of roughly 13.6 billion gallons
of renewable fuels.357 Thus, the results
represent the impact of an incremental
increase in ethanol and other renewable
fuels. We note that the air quality
modeling results presented in this final
rule do not constitute the ‘‘antibacksliding’’ analysis required by Clean
Air Act section 211(v). EPA will be
analyzing air quality and health impacts
of increased renewable fuel use through
that study and will promulgate
appropriate mitigation measures under
section 211(v), separate from this final
action.
As can be seen in Section VI.D of this
preamble, as well as in Section 3.4 of
the RIA that accompanies this preamble,
there are both increased and decreased
concentrations of ambient criteria
pollutants and air toxics. Overall, we
estimate that the required renewable
fuel volumes will lead to a net increase
in criteria pollutant-related health
impacts. By 2022, the final RFS2
volumes relative to both reference case
scenarios (RFS1 and AEO2007), are
projected to adversely impact PM2.5 air
quality over parts of the U.S., while
some areas will experience decreases in
357 The 2022 modeled scenarios assume the
following: RFS1 reference case assumes 6.7 Bgal/yr
ethanol and 0.38 Bgal/yr biodiesel; AEO2007
reference case assumes 13.18 Bgal/yr ethanol and
0.38 Bgal/yr biodiesel; RFS2 control case assumes
34.14 Bgal/yr ethanol, 0.81 Bgal/yr biodiesel, and
0.38 Bgal/yr renewable diesel. Please refer to
Chapter 3.3 and Table 3.3–1 for more information
about the renewable fuel volumes assumed in the
modeled analyses and the corresponding emissions
inventories.
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Base
$606
1,212
2,302
3,999
6,665
$620
1,239
2,355
4,089
6,816
Low
$631
1,262
2,397
4,163
6,939
ambient PM2.5. As described in Section
VI, ambient PM2.5 is likely to increase as
a result of emissions at biofuel
production plants and from biofuel
transport, both of which are more
prevalent in the Midwest. PM
concentrations are also likely to
decrease in some areas. While the PMrelated air quality impacts are relatively
small, the increase in populationweighted national average PM2.5
exposure results in a net increase in
adverse PM-related human health
impacts. (the increase in national
population weighted annual average
PM2.5 is 0.006 μg/m3 and 0.002 μg/m3
relative to the RFS1 and AEO2007
reference cases, respectively).
The required renewable fuel volumes,
relative to both reference scenarios, are
also projected to adversely impact ozone
air quality over much of the U.S.,
especially in the Midwest, Northeast
and Southeast. These adverse impacts
are likely due to increased upstream
emissions of NOX in many areas that are
NOX-limited (acting as a precursor to
ozone formation). There are, however,
ozone air quality improvements in some
highly-populated areas that currently
have poor air quality. This is likely due
to VOC emission reductions at the
tailpipe in urban areas that are VOClimited (reducing VOC’s role as a
precursor to ozone formation). Relative
to the RFS1 mandate reference case, the
RFS2 volumes result in an increase in
national ozone-related health impacts
(population weighted maximum 8-hour
average ozone increases by 0.177 ppb).
Relative to the AEO2007 reference case,
the RFS2 volumes result in an increase
in national ozone-related health impacts
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(population weighted maximum 8-hour
average ozone increases by 0.116 ppb).
The analysis of national-level PM2.5and ozone-related health and
environmental impacts associated with
the required renewable fuel volumes is
based on peer-reviewed studies of air
quality and human health effects (see
US EPA, 2006 and US EPA, 2008).358 359
We are also consistent with the benefits
analysis methods that supported the
recently proposed Portland Cement
National Emissions Standards for
Hazardous Air Pollutants (NESHAP)
RIA (U.S. EPA, 2009a),360 the proposed
NO2 primary NAAQS RIA (U.S. EPA,
2009b),361 and the proposed Category 3
Marine Diesel Engines RIA (U.S. EPA,
2009c).362 These methods are described
in more detail in the RIA that
accompanies this preamble. To model
the ozone and PM air quality impacts of
the required renewable fuel volumes,
we used the Community Multiscale Air
Quality (CMAQ) model (see Section
VI.D). The modeled ambient air quality
data serves as an input to the
Environmental Benefits Mapping and
Analysis Program (BenMAP).363
358 U.S. Environmental Protection Agency. (2006).
Final Regulatory Impact Analysis (RIA) for the
Proposed National Ambient Air Quality Standards
for Particulate Matter. Prepared by: Office of Air
and Radiation. Retrieved March, 26, 2009 at
https://www.epa.gov/ttn/ecas/ria.html.
359 U.S. Environmental Protection Agency. (2008).
Final Ozone NAAQS Regulatory Impact Analysis.
Prepared by: Office of Air and Radiation, Office of
Air Quality Planning and Standards. Retrieved
March, 26, 2009 at https://www.epa.gov/ttn/ecas/
ria.html.
360 U.S. Environmental Protection Agency (U.S.
EPA). 2009a. Regulatory Impact Analysis: National
Emission Standards for Hazardous Air Pollutants
from the Portland Cement Manufacturing Industry.
Office of Air Quality Planning and Standards,
Research Triangle Park, NC. April. Available on the
Internet at https://www.epa.gov/ttn/ecas/regdata/
RIAs/portlandcementria_4–20–09.pdf.
361 U.S. Environmental Protection Agency (U.S.
EPA). 2009b. Proposed NO2 NAAQS Regulatory
Impact Analysis (RIA). Office of Air Quality
Planning and Standards, Research Triangle Park,
NC. April. Available on the Internet at https://
www.epa.gov/ttn/ecas/regdata/RIAs/
proposedno2ria.pdf. Note: The revised NO2
NAAQS may be final by the publication of this
action.
362 U.S. Environmnetal Protection Agency (U.S.
EPA). 2009c. Draft Regulatory Impact Analysis:
Control of Emissions of Air Pollution from Category
3 Marine Diesel Engines. Office of Transportation
and Air Quality, June. Available on the Internet at
https://www.epa.gov/otaq/regs/nonroad/
420d09002.htm. Note: The C3 rule may be final by
the publication of this action.
363 Information on BenMAP, including
downloads of the software, can be found at
https://www.epa.gov/ttn/ecas/benmodels.html.
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BenMAP is a computer program
developed by the U.S. EPA that
integrates a number of the modeling
elements used in previous analyses (e.g.,
interpolation functions, population
projections, health impact functions,
valuation functions, analysis and
pooling methods) to translate modeled
air concentration estimates into health
effects incidence estimates and
monetized benefits estimates.
The range of total national-level
ozone- and PM-related monetized
impacts associated with the required
renewable fuel volumes is presented in
Table VIII.D.1–1.364 We present total
monetized impacts based on the PMand ozone-related premature mortality
function used. Total monetized impacts
therefore reflect the addition of each
estimate of ozone-related premature
mortality (each with its own row in
Table VIII.D.1–1) to estimates of PMrelated premature mortality. These
estimates represent EPA’s preferred
approach to characterizing the best
estimate of monetized impacts
associated with the required renewable
fuel volumes.
Emissions and air quality modeling
decisions were made early in the
analytical process and as a result, there
are a number of important limitations
and uncertainties associated with the air
quality modeling analysis that must be
kept in mind when considering the
results. A key limitation of the analysis
is that it employed interim emission
inventories, which were enhanced
compared to what was described in the
proposal, but did not include some of
the later enhancements and corrections
of the final emission inventories
presented in this FRM (see Section VI.A
through VI.C of this preamble). Most
significantly, our modeling of the air
quality impacts of RFS2 relied upon
interim inventories that assumed that
ethanol will make up 34 of the 36
billion gallon renewable fuel mandate,
that approximately 20 billion gallons of
this ethanol will be in the form of E85,
and that the use of E85 results in fewer
emissions of direct PM2.5 from vehicles.
364 Note that these impacts reflect the national
total of PM-related benefits and disbenefits and
ozone-related benefits and disbenefits. The sum of
total of benefits and disbenefits yields a net
negative benefit, or disbenefit. See Tables VIII.D.2–
1 and VIII.D.2–2 for pollutant- and endpointspecific incidence estimates and Table VIII.D.3–1
for pollutant- and endpoint specific monetized
values.
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14845
The emission impacts, air quality results
and benefits analysis would be different
if, instead of E85, more non-ethanol
biofuels are used or mid-level ethanol
blends are approved and utilized.
In fact, as explained earlier in this
preamble, our more recent analyses
indicate that ethanol and E85 volumes
are likely to be significantly lower than
what we assumed in the interim
inventories. Furthermore, the final
emission inventories do not include
vehicle-related PM reductions
associated with E85 use, as discussed in
Section VI.A through VI.C. There are
additional, important limitations and
uncertainties associated with the
interim inventories that must be kept in
mind when considering the results,
which are described in more detail in
Section VI. While it is difficult to
describe the overall impact of these
limitations and uncertainties on the
quantified and monetized health
impacts of the increased renewable fuel
volumes without updating the air
quality modeling analysis, we believe
the results are still useful for describing
potential national-level health impacts.
Additionally, after the air quality
modeling was completed, we discovered
an error in the way that PM2.5 emissions
from locomotive engines were allocated
to counties in the inventory. The
mismatched allocations between the
reference and control scenarios resulted
in PM2.5 emission changes that were too
high in some counties and too low in
others, by varying degrees. As a result,
we did not present the modeling results
for specific localized PM2.5 impacts in
Section VI.D. However, because the
error was random and offsetting, there
was very little impact on national-level
PM2.5 emissions. An analysis of the
error’s impact on the national emission
inventories found that direct PM2.5
emissions were inflated by 8% relative
to the AEO reference case and by 0.6%
relative to the RFS1 reference case,
leading to a small overestimation of
national PM-related adverse health
impacts. Note that this error did not
impact other PM precursor inventories
such as NOX and SO2. As a result, we
have concluded that PM2.5 modeling
results are still informative for nationallevel benefits assessment, particularly
given that other uncertainties in the
PM2.5 inventory (such as E85 usage,
discussed below) have a more important
(and offsetting) effect.
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TABLE VIII.D.1–1—ESTIMATED 2022 MONETIZED PM- AND OZONE-RELATED HEALTH IMPACTS FROM THE MANDATED
RENEWABLE FUEL VOLUMES a
Premature ozone mortality
function
Total benefits
(billions, 2007$, 7%
discount rate) b,c
Total benefits
(billions, 2007$, 3%
discount rate) b,c
Reference
2022 Total Ozone and PM Benefits, RFS2 Control Case Compared to RFS1 Reference Case a
Multi-city analyses ...............
Bell et al., 2004 ...................
Huang et al., 2005 ..............
Schwartz, 2005 ...................
Meta-analyses .....................
Bell et al., 2005 ...................
Ito et al., 2005 .....................
Levy et al., 2005 .................
Total: ¥$1.4 to ¥$2.8 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$0.52 ................................................................
Total: ¥$1.8 to ¥$3.1 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$0.83 ................................................................
Total: ¥$1.7 to ¥$3.0 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$0.77 ................................................................
Total: ¥$2.5 to ¥$3.8 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$1.6 ..................................................................
Total: ¥$3.1 to ¥$4.5 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$2.2 ..................................................................
Total: ¥$3.1 to ¥$4.5 .....................................................
PM: ¥$0.92 to ¥$2.3 .....................................................
Ozone: ¥$2.2 ..................................................................
Total: ¥$1.4 to ¥$2.6.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$0.52.
Total: ¥$1.7 to ¥$2.9.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$0.83.
Total: ¥$1.6 to ¥$2.8.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$0.77.
Total: ¥$2.4 to ¥$3.6.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$1.6.
Total: ¥$3.0 to ¥$4.2.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$2.2.
Total: ¥$3.1 to ¥$4.3.
PM: ¥$0.84 to ¥$2.0.
Ozone: ¥$2.2.
2022 Total Ozone and PM Benefits, RFS2 Control Case Compared to AEO Reference Case a
Multi-city analyses ...............
Bell et al., 2004 ...................
Huang et al., 2005 ..............
Schwartz, 2005 ...................
Meta-analyses .....................
Bell et al., 2005 ...................
Ito et al., 2005 .....................
Levy et al., 2005 .................
Total: ¥$0.63 to ¥$1.0 ...................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$0.34 ................................................................
Total: ¥$0.84 to ¥$1.3 ...................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$0.55 ................................................................
Total: ¥$0.80 to ¥$1.2 ...................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$0.51 ................................................................
Total: ¥$1.3 to ¥$1.8 .....................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$1.0 ..................................................................
Total: ¥$1.7 to ¥$2.2 .....................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$1.5 ..................................................................
Total: ¥$1.8 to ¥$2.2 .....................................................
PM: ¥$0.29 to ¥$0.70 ...................................................
Ozone: ¥$1.5 ..................................................................
Total: ¥$0.60 to
¥$0.98.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$0.34.
Total: ¥$0.81 to ¥$1.2.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$0.55.
Total: ¥$0.77 to ¥$1.1.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$0.51.
Total: ¥$1.3 to ¥$1.7.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$1.0.
Total: ¥$1.7 to ¥$2.1.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$1.5.
Total: ¥$1.7 to ¥$2.1.
PM: ¥$0.26 to ¥$0.63.
Ozone: ¥$1.5.
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Notes:
a Total includes premature mortality-related and morbidity-related ozone and PM
2.5 benefits. Range was developed by adding the estimate
from the ozone premature mortality function to the estimate of PM 2.5- related premature mortality derived from either the ACS study (Pope et al.,
2002) or the Six-Cities study (Laden et al., 2006).
b Note that total benefits presented here do not include a number of unquantified benefits categories. A detailed listing of unquantified health
and welfare effects is provided in Table VIII.D.1–2.
c Results reflect the use of both a 3 and 7 percent discount rate, as recommended by EPA’s Guidelines for Preparing Economic Analyses and
OMB Circular A–4. Results are rounded to two significant digits for ease of presentation and computation.
The monetized estimates in Table
VIII.D.1–1 include all of the human
health impacts we are able to quantify
and monetize at this time. However, the
full complement of human health and
welfare effects associated with PM and
ozone remain unquantified because of
current limitations in methods or
available data. We have not quantified
a number of known or suspected health
effects linked with ozone and PM for
which appropriate health impact
functions are not available or which do
not provide easily interpretable
outcomes (i.e., changes in heart rate
variability). Additionally, we are unable
to quantify a number of known welfare
effects, including acid and particulate
deposition damage to cultural
monuments and other materials, and
environmental impacts of
eutrophication in coastal areas. These
are listed in Table VIII.D.1–2.
TABLE VIII.D.1–2—UNQUANTIFIED AND NON-MONETIZED POTENTIAL EFFECTS FROM THE MANDATED RENEWABLE FUEL
VOLUMES
Pollutant/effects
Effects not included in analysis—changes in:
Ozone Healtha ..........................................................................................
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TABLE VIII.D.1–2—UNQUANTIFIED AND NON-MONETIZED POTENTIAL EFFECTS FROM THE MANDATED RENEWABLE FUEL
VOLUMES—Continued
Pollutant/effects
Effects not included in analysis—changes in:
Ozone Welfare ..........................................................................................
PM Healthc ...............................................................................................
PM Welfare ...............................................................................................
Nitrogen and Sulfate Deposition Welfare .................................................
CO Health .................................................................................................
HC/Toxics Healthf .....................................................................................
HC/Toxics Welfare ....................................................................................
Premature aging of the lungsb.
Non-asthma respiratory emergency room visits.
Exposure to UVb (+/¥)e.
Yields for.
—commercial forests.
—some fruits and vegetables.
—non-commercial crops.
Damage to urban ornamental plants.
Impacts on recreational demand from damaged forest aesthetics.
Ecosystem functions.
Exposure to UVb (+/¥)e.
Premature mortality—short term exposuresd.
Low birth weight.
Pulmonary function.
Chronic respiratory diseases other than chronic bronchitis.
Non-asthma respiratory emergency room visits.
Exposure to UVb (+/¥)e.
Residential and recreational visibility in non-Class I areas.
Soiling and materials damage.
Damage to ecosystem functions.
Exposure to UVb (+/¥)e.
Commercial forests due to acidic sulfate and nitrate deposition.
Commercial freshwater fishing due to acidic deposition.
Recreation in terrestrial ecosystems due to acidic deposition.
Existence values for currently healthy ecosystems.
Commercial fishing, agriculture, and forests due to nitrogen deposition.
Recreation in estuarine ecosystems due to nitrogen deposition.
Ecosystem functions.
Passive fertilization.
Behavioral effects.
Cancer (benzene, 1,3-butadiene, formaldehyde, acetaldehyde).
Anemia (benzene).
Disruption of production of blood components (benzene).
Reduction in the number of blood platelets (benzene).
Excessive bone marrow formation (benzene).
Depression of lymphocyte counts (benzene).
Reproductive and developmental effects (1,3-butadiene).
Irritation of eyes and mucus membranes (formaldehyde).
Respiratory irritation (formaldehyde).
Asthma attacks in asthmatics (formaldehyde).
Asthma-like symptoms in non-asthmatics (formaldehyde).
Irritation of the eyes, skin, and respiratory tract (acetaldehyde).
Upper respiratory tract irritation and congestion (acrolein).
Direct toxic effects to animals.
Bioaccumulation in the food chain.
Damage to ecosystem function.
Odor.
mstockstill on DSKH9S0YB1PROD with RULES2
Notes:
a The public health impact of biological responses such as increased airway responsiveness to stimuli, inflammation in the lung, acute inflammation and respiratory cell damage, and increased susceptibility to respiratory infection are likely partially represented by our quantified
endpoints.
b The public health impact of effects such as chronic respiratory damage and premature aging of the lungs may be partially represented by
quantified endpoints such as hospital admissions or premature mortality, but a number of other related health impacts, such as doctor visits and
decreased athletic performance, remain unquantified.
c In addition to primary economic endpoints, there are a number of biological responses that have been associated with PM health effects including morphological changes and altered host defense mechanisms. The public health impact of these biological responses may be partly represented by our quantified endpoints.
d While some of the effects of short-term exposures are likely to be captured in the estimates, there may be premature mortality due to shortterm exposure to PM not captured in the cohort studies used in this analysis. However, the PM mortality results derived from the expert
elicitation do take into account premature mortality effects of short term exposures.
e May result in benefits or adverse health impacts.
f Many of the key hydrocarbons related to this rule are also hazardous air pollutants listed in the Clean Air Act.
While there will be impacts
associated with air toxic pollutant
emission changes that result from the
increased use of renewable fuels, we do
not attempt to monetize those impacts.
This is primarily because currently
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available tools and methods to assess air
toxics risk from mobile sources at the
national scale are not adequate for
extrapolation to incidence estimations
or benefits assessment. The best suite of
tools and methods currently available
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for assessment at the national scale are
those used in the National-Scale Air
Toxics Assessment (NATA). The EPA
Science Advisory Board specifically
commented in their review of the 1996
NATA that these tools were not yet
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ready for use in a national-scale benefits
analysis, because they did not consider
the full distribution of exposure and
risk, or address sub-chronic health
effects.365 While EPA has since
improved the tools, there remain critical
limitations for estimating incidence and
assessing benefits of reducing mobile
source air toxics. EPA continues to work
to address these limitations; however,
we did not have the methods and tools
available for national-scale application
in time for the analysis of the final
rule.366
2. Quantified Human Health Impacts
Tables VIII.D.2–1 and VIII.D.2–2
present the annual PM2.5 and ozone
health impacts in the 48 contiguous U.S.
states associated with the required
renewable fuel volumes relative to both
the RFS1 and AEO reference cases for
2022. For each endpoint presented in
Tables VIII.D.2–1 and VIII.D.2–2, we
provide both the mean estimate and the
90% confidence interval.
Using EPA’s preferred estimates,
based on the ACS and Six-Cities studies
and no threshold assumption in the
model of mortality, we estimate that the
required renewable fuel volumes will
result in between 110 and 270 cases of
PM2.5-related premature deaths annually
in 2022 when compared to the RFS1
reference case. When compared to the
AEO reference scenario, we estimate
that the required renewable fuel
volumes will result in between 33 and
85 cases of PM2.5-related premature
deaths annually in 2022. For ozonerelated premature mortality, we estimate
that national changes in ambient ozone
will contribute to between 54 to 250
additional premature mortalities in 2022
as a result of the required renewable
fuel volumes relative to the RFS1
scenario. When compared to the AEO
reference scenario, we estimate that the
required renewable fuel volumes will
contribute to between 36 to 160
additional ozone-related premature
mortalities in 2022.
TABLE VIII.D.2–1—ESTIMATED PM2.5-RELATED HEALTH IMPACTS ASSOCIATED WITH THE MANDATED RENEWABLE FUEL
VOLUMES a
2022 RFS2 Control case
compared to RFS1
reference case
(5th%–95th%ile)
Health effect
2022 RFS2 Control case
compared to AEO
reference case
(5th%–95th%ile)
¥110
(¥42 – ¥170)
¥270
(¥150 – ¥400)
0
(0 – ¥1)
¥65
(¥26 – ¥110)
¥180
(¥65 – ¥290)
¥26
(¥25 – ¥26)
¥55
(¥44 – ¥70)
¥180
(¥110 – ¥260)
¥160
(¥0 – ¥330)
¥1,900
(¥910 – ¥2,900)
¥1,400
(¥450 – ¥2,400)
¥1,700
(¥190 – ¥4,800)
¥11,000
(¥10,000 – ¥13,000)
¥68,000
(¥57,000 – ¥78,000)
¥33
(¥13 – ¥53)
¥85
(¥46 – ¥120)
0
(0 – ¥1)
¥19
(¥4 – ¥18)
¥51
(¥19 – ¥84)
¥7
(¥5 – ¥8)
¥12
(¥9 – ¥16)
¥99
(¥58 – ¥140)
¥50
(¥0 – ¥100)
¥600
(¥290 – ¥910)
¥450
(¥140 – ¥750)
¥540
(¥60 – ¥1,500)
¥3,200
(¥2,800 – ¥3,700)
¥19,000
(¥16,000 – ¥22.000)
Premature Mortality—Derived from Epidemiology Literature b
Adult, age 30+, ACS Cohort Study (Pope et al., 2002) ..........................................................
Adult, age 25+, Six-Cities Study (Laden et al., 2006) ............................................................
Infant, age <1 year (Woodruff et al., 1997) .............................................................................
Chronic bronchitis (adult, age 26 and over) ............................................................................
Non-fatal myocardial infarction (adult, age 18 and over) ........................................................
Hospital admissions—respiratory (all ages) c ..........................................................................
Hospital admissions—cardiovascular (adults, age >18) d .......................................................
Emergency room visits for asthma (age 18 years and younger) ............................................
Acute bronchitis, (children, age 8–12) .....................................................................................
Lower respiratory symptoms (children, age 7–14) ..................................................................
Upper respiratory symptoms (asthmatic children, age 9–18) .................................................
Asthma exacerbation (asthmatic children, age 6–18) .............................................................
Work loss days ........................................................................................................................
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Minor restricted activity days (adults age 18–65) ...................................................................
Notes:
a Note that negative incidence expressed in this table reflects disbenefits; in other words, an increase in total aggregated national-level PM-related health impacts. Incidence is rounded to two significant digits. Estimates represent incidence within the 48 contiguous United States.
b PM-related adult mortality based upon the American Cancer Society (ACS) Cohort Study (Pope et al., 2002) and the Six-Cities Study (Laden
et al., 2006). Note that these are two alternative estimates of adult mortality and should not be summed. PM-related infant mortality based upon
a study by Woodruff, Grillo, and Schoendorf, (1997).367
c Respiratory hospital admissions for PM include admissions for chronic obstructive pulmonary disease (COPD), pneumonia and asthma.
d Cardiovascular hospital admissions for PM include total cardiovascular and subcategories for ischemic heart disease, dysrhythmias, and
heart failure.
365 Science Advisory Board. 2001. NATA—
Evaluating the National-Scale Air Toxics
Assessment for 1996—an SAB Advisory. https://
www.epa.gov/ttn/atw/sab/sabrev.html.
366 In April, 2009, EPA hosted a workshop on
estimating the benefits or reducing hazardous air
pollutants. This workshop built upon the work
accomplished in the June 2000 Science Advisory
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Board/EPA Workshop on the Benefits of Reductions
in Exposure to Hazardous Air Pollutants, which
generated thoughtful discussion on approaches to
estimating human health benefits from reductions
in air toxics exposure, but no consensus was
reached on methods that could be implemented in
the near term for a broad selection of air toxics.
Please visit https://epa.gov/air/toxicair/2009
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workshop.html for more information about the
workshop and its associated materials.
367 Woodruff, T.J., J. Grillo, and K.C. Schoendorf.
1997. ‘‘The Relationship Between Selected Causes
of Postneonatal Infant Mortality and Particulate Air
Pollution in the United States.’’ Environmental
Health Perspectives 105(6): 608–612.
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TABLE VIII.D.2–2—ESTIMATED OZONE-RELATED HEALTH IMPACTS ASSOCIATED WITH THE MANDATED RENEWABLE FUEL
VOLUMES a
2022 RFS2 Control case
compared to RFS1
reference case
(5th%–95th%ile)
Health effect
2022 RFS2 Control case
compared to AEO
reference case
(5th%–95th%ile)
¥54
(¥17 – ¥92)
¥90
(¥31 – ¥149)
¥83
(¥24 – ¥140)
¥36
(¥10 – ¥62)
¥59
(¥18 – ¥100)
¥55
(¥13 – ¥97)
¥180
(¥80 – ¥270)
¥240
(¥140 – ¥350)
¥250
(¥170 – ¥330)
¥470
(¥20 – ¥860)
¥83
(¥24 – ¥140)
¥260
(0 – ¥740)
¥300,000
(¥110,000 – ¥500,000)
¥110,000
(¥35,000 – ¥180,000)
¥120
(¥49 – ¥180)
¥160
(¥90 – ¥230)
¥160
(¥110 – ¥220)
¥310
(¥5 – ¥580)
¥190
(¥52 – ¥330)
¥180
(0 – ¥510)
¥200,000
(¥59,000 – ¥340,000)
¥75,000
(¥19,000 – ¥120,000)
Premature Mortality, All ages b
Multi-City Analyses
Bell et al. (2004)—Non-accidental ...................................................................................
Huang et al. (2005)—Cardiopulmonary ...........................................................................
Schwartz (2005)—Non-accidental ....................................................................................
Meta-analyses:
Bell et al. (2005)—All cause .............................................................................................
Ito et al. (2005)—Non-accidental .....................................................................................
Levy et al. (2005)—All cause ...........................................................................................
Hospital admissions—respiratory causes (adult, 65 and older) c ............................................
Hospital admissions—respiratory causes (children, under 2) .................................................
Emergency room visit for asthma (all ages) ...........................................................................
Minor restricted activity days (adults, age 18–65) ..................................................................
School absence days ..............................................................................................................
Notes:
a Note that negative incidence expressed in this table reflects disbenefits; in other words, an increase in total aggregated national-level ozonerelated health impacts. Incidence is rounded to two significant digits. Estimates represent incidence within the 48 contiguous United States. Note
that negative incidence estimates represent additional cases of an endpoint related to pollution increases associated with the increased use of
renewable fuels.
b Estimates of ozone-related premature mortality are based upon incidence estimates derived from several alternative studies: Bell et al.
(2004); Huang et al. (2005); Schwartz (2005) ; Bell et al. (2005); Ito et al. (2005); Levy et al. (2005). The estimates of ozone-related premature
mortality should therefore not be summed.
c Respiratory hospital admissions for ozone include admissions for all respiratory causes and subcategories for COPD and pneumonia.
3. Monetized Impacts
Table VIII.D.3–1 presents the
estimated monetary value of the
increase in ozone and PM2.5-related
health effects incidence associated with
the required renewable fuel volumes
relative to both the RFS1 and AEO
reference cases for 2022. All monetized
estimates are stated in 2007$. These
estimates account for growth in real
gross domestic product (GDP) per capita
between the present and the year 2022.
As the table indicates, total adverse
health impacts are driven primarily by
the increase in PM2.5- and ozone-related
premature fatalities.
Our estimate of monetized adverse
health impacts in 2022 for the required
renewable fuel volumes relative to the
RFS1 reference case, using the ACS and
Six-Cities PM mortality studies and the
range of ozone mortality assumptions,
are between $1.4 billion and $4.5
billion, assuming a 3 percent discount
rate, or between $1.4 billion and $4.3
billion, assuming a 7 percent discount
rate. The total monetized adverse health
impacts in 2022 for the required
renewable fuel volumes relative to the
AEO reference case are between $0.63
billion and $2.2 billion assuming a 3
percent discount rate, and between
$0.60 billion and $2.1 billion assuming
a 7 percent discount rate. We are unable
to quantify a number of health and
environmental impact categories (see
Table VIII.D.1–2). These unquantified
impacts may be substantial, although
their magnitude is highly uncertain.
TABLE VIII.D.3–1—ESTIMATED MONETARY VALUE OF HEALTH AND WELFARE EFFECT INCIDENCE
[In millions of 2007$] a b
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2022 RFS2 Control
case compared to
RFS1 reference case
PM2.5-Related Health Effect
Estimated Mean Value of Reductions
(5th and 95th %ile)
Premature Mortality—Derived from Epidemiology Studies c d
Adult, age 30+ —ACS study (Pope et al., 2002):
3% discount rate ...........................................................................................................
7% discount rate ...........................................................................................................
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reference case
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(¥$100–¥$2,300)
¥$770
(¥$91–¥$2,000)
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¥$270
(¥$32–¥$700)
¥$240
(¥$28–¥$630)
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TABLE VIII.D.3–1—ESTIMATED MONETARY VALUE OF HEALTH AND WELFARE EFFECT INCIDENCE—Continued
[In millions of 2007$] a b
2022 RFS2 Control
case compared to
RFS1 reference case
Adult, age 25+ —Six-cities study (Laden et al., 2006):
3% discount rate ...........................................................................................................
7% discount rate ...........................................................................................................
Infant Mortality, <1 year—(Woodruff et al. 1997) .................................................................
Chronic bronchitis (adults, 26 and over) .....................................................................................
Non-fatal acute myocardial infarctions:
3% discount rate ...................................................................................................................
7% discount rate ...................................................................................................................
Hospital admissions for respiratory causes .................................................................................
Hospital admissions for cardiovascular causes ..........................................................................
Emergency room visits for asthma ..............................................................................................
Acute bronchitis (children, age 8–12) ..........................................................................................
Lower respiratory symptoms (children, 7–14) .............................................................................
Upper respiratory symptoms (asthma, 9–11) ..............................................................................
Asthma exacerbations .................................................................................................................
Work loss days ............................................................................................................................
Minor restricted¥activity days (MRADs) .....................................................................................
2022 RFS2 Control
case compared to AEO
reference case
¥$2,200
(¥$29–¥$5,500)
¥$2,000
(¥$26–¥$5,000)
¥$4.0
(¥$3.0–¥$15)
¥$32
(¥$2.5–¥$110)
¥$680
(¥$90–¥$1,700)
¥$620
(¥$81–¥$1,600)
¥$1.7
(¥$1.3–¥$6.7)
¥$9.4
(¥$0.72–¥$33)
¥$23
(¥$4.1–¥$58)
¥$23
(¥$3.8–¥$58)
¥$0.39
(¥$0.19–¥$0.57
¥$1.5
(¥$0.96–¥$2.1)
¥$0.07
(¥$0.04–¥$0.10)
¥$0.01
($0–¥$0.03)
¥$0.04
(¥$0.01–¥$0.07)
¥$0.04
(¥$0.01–¥$0.10)
¥$0.09
(¥$0.009–¥$0.28)
¥$1.7
(¥$1.5–¥$1.9)
¥$4.3
(¥$2.5–¥$6.2)
¥$6.6
(¥$1.0–¥$17)
¥$6.4
(¥$0.95–¥$16)
¥$0.11
(¥$0.06–¥$0.17)
¥$0.33
(¥$0.20–¥$0.45)
¥$0.04
(¥$0.02–¥$0.06)
¥$0.004
($0–¥$0.01)
¥$0.01
(¥$0.004–¥$0.02)
¥$0.01
(¥$0.004–¥$0.03)
¥$0.03
(¥$0.003–¥$0.09)
¥$0.49
(¥$0.42–¥$0.55)
¥$1.2
(¥$0.69–¥$1.7)
$480
(¥$51–¥$1,300)
¥$800
(¥$90–¥$2,200)
¥$740
(¥$76–¥$2,000)
¥$320
(¥$32–¥$880)
¥$530
(¥$56–¥$1,400)
¥$490
(¥$48–¥$1,300)
¥$1,600
(¥$200–¥$4,000)
¥$2,200
(¥$290–¥$5,400)
¥$2,200
(¥$300–¥$5,300)
¥$11
(¥$0.49–¥$20)
¥$3.0
(¥$1.0–¥$4,9)
¥$0.10
(¥$0.009–¥$0.26)
¥$19
(¥$6.4–¥$35)
¥$10
(¥$3.1–¥$16)
¥$1,000
(¥$130–¥$,700)
¥$1,400
(¥$190–¥$3,600)
¥$1,400
(¥$200–¥$3,500)
¥$7.4
(¥$0.13–¥$14)
¥$1.9
(¥$0.52–¥$3.3)
¥$0.07
(¥$0.008–¥$0.18)
¥$13
(¥$3.6–¥$24)
¥$6.7
(¥$1.7–¥$11)
Ozone-related Health Effect
Premature Mortality, All ages—Derived from Multi-city analyses:
Bell et al., 2004 ....................................................................................................................
Huang et al., 2005 ................................................................................................................
Schwartz, 2005 .....................................................................................................................
Premature Mortality, All ages—Derived from Meta-analyses:
Bell et al., 2005 ....................................................................................................................
Ito et al., 2005 ......................................................................................................................
Levy et al., 2005 ...................................................................................................................
Hospital admissions—respiratory causes (adult, 65 and older) ..................................................
Hospital admissions—respiratory causes (children, under 2) .....................................................
Emergency room visit for asthma (all ages) ...............................................................................
Minor restricted activity days (adults, age 18–65) ......................................................................
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School absence days ..................................................................................................................
Notes:
a Negatives indicate a disbenefit, or an increase in health effect incidence. Monetary impacts are rounded to two significant digits for ease of
presentation and computation. PM and ozone impacts are nationwide.
b Monetary impacts adjusted to account for growth in real GDP per capita between 1990 and the analysis year (2022).
c Valuation assumes discounting over the SAB recommended 20 year segmented lag structure. Results reflect the use of 3 percent and 7 percent discount rates consistent with EPA and OMB guidelines for preparing economic analyses.
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4. What Are the Limitations of the
Health Impacts Analysis?
Every benefit-cost analysis examining
the potential effects of a change in
environmental protection requirements
is limited to some extent by data gaps,
limitations in model capabilities (such
as geographic coverage), and
uncertainties in the underlying
scientific and economic studies used to
configure the benefit and cost models.
Limitations of the scientific literature
often result in the inability to estimate
quantitative changes in health and
environmental effects, such as
premature mortality associated with
exposure to carbon monoxide.
Deficiencies in the economics literature
often result in the inability to assign
economic values even to those health
and environmental outcomes which can
be quantified. These general
uncertainties in the underlying
scientific and economics literature,
which can lead to valuations that are
higher or lower, are discussed in detail
in the RIA and its supporting references.
Key uncertainties that have a bearing on
the results of the benefit-cost analysis of
the coordinated strategy include the
following:
• The exclusion of potentially
significant and unquantified benefit
categories (such as health, odor, and
ecological benefits of reduction in air
toxics, ozone, and PM);
• Errors in measurement and
projection for variables such as
population growth;
• Uncertainties in the estimation of
future year emissions inventories and
air quality;
• Uncertainty in the estimated
relationships of health and welfare
effects to changes in pollutant
concentrations including the shape of
the C–R function, the size of the effect
estimates, and the relative toxicity of the
many components of the PM mixture;
• Uncertainties in exposure
estimation; and
• Uncertainties associated with the
effect of potential future actions to limit
emissions.
As Table VIII.D.3–1 indicates, total
impacts are driven primarily by the
additional premature mortalities
estimated to occur each year. Some key
assumptions underlying the premature
mortality estimates include the
following, which may also contribute to
uncertainty:
• Inhalation of fine particles is
causally associated with premature
death at concentrations near those
experienced by most Americans on a
daily basis. Although biological
mechanisms for this effect have not yet
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been completely established, the weight
of the available epidemiological,
toxicological, and experimental
evidence supports an assumption of
causality. The impacts of including a
probabilistic representation of causality
were explored in the expert elicitationbased results of the PM NAAQS RIA.
• All fine particles, regardless of their
chemical composition, are equally
potent in causing premature mortality.
This is an important assumption,
because PM related to fuel use in mobile
sources may differ significantly from
PM precursors released from electric
generating units and other industrial
sources. However, no clear scientific
grounds exist for supporting differential
effects estimates by particle type.
• The C–R function for fine particles
is approximately linear within the range
of ambient concentrations under
consideration. Thus, the estimates
include health benefits from reducing
fine particles in areas with varied
concentrations of PM, including both
regions that may be in attainment with
PM2.5 standards and those that are at
risk of not meeting the standards.
• There is uncertainty in the
magnitude of the association between
ozone and premature mortality. The
range of ozone impacts associated with
the increased use of renewable fuels is
estimated based on the risk of several
sources of ozone-related mortality effect
estimates. In a recent report on the
estimation of ozone-related premature
mortality published by the National
Research Council, a panel of experts and
reviewers concluded that short-term
exposure to ambient ozone is likely to
contribute to premature deaths and that
ozone-related mortality should be
included in estimates of the health
impacts of reducing ozone exposure.368
EPA has requested advice from the
National Academy of Sciences on how
best to quantify uncertainty in the
relationship between ozone exposure
and premature mortality in the context
of quantifying health impacts.
Acknowledging the omission of a
range of health and environmental
impacts, and the uncertainties
mentioned above, we present a best
estimate of the total monetized impacts
based on our interpretation of the best
available scientific literature and
methods supported by EPA’s technical
peer review panel, the Science Advisory
Board’s Health Effects Subcommittee
(SAB–HES). The National Academies of
Science (NRC, 2002) has also reviewed
368 National Research Council (NRC), 2008.
Estimating Mortality Risk Reduction and Economic
Benefits from Controlling Ozone Air Pollution. The
National Academies Press: Washington, DC.
PO 00000
Frm 00183
Fmt 4701
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EPA’s methodology for analyzing air
pollution-related health and
environmental impacts. EPA addressed
many of these comments in the analysis
of the final PM NAAQS.369 370 This
analysis incorporates this most recent
work to the extent possible.
E. Summary of Costs and Benefits
Presented in this section are a
summary of costs, benefits, and net
benefits of the renewable fuel volumes
required by final RFS2 program. Table
VIII.E–1 shows the estimated annual
societal costs and benefits of the
increased use of renewable fuels in
2022. The table also presents estimated
annual net benefits for 2022. In this
table, fuel savings are presented as
negative costs associated with the
increased use of renewable fuels (rather
than positive savings). Note that all
costs and benefits are presented in
annual terms; we were unable to
estimate a stream of costs and benefits
for many of the cost-benefit categories
and were therefore unable to estimate
net present value.
Table VIII.E–1 presents the benefits of
reduced GHG emissions—and
consequently the annual quantified
benefits (i.e., total benefits) and
quantified net benefits—for each of five
interim SCC values considered by EPA.
As discussed in Section VIII.C, there is
a very high probability (very likely
according to the IPCC) that the benefit
estimates from GHG reductions are
underestimates because, in part, models
used to calculate SCC values do not
include information about impacts that
have not been quantified.
TABLE VIII.E–1—QUANTIFIED COSTS
AND BENEFITS OF THE VOLUMES REQUIRED BY RFS2 RELATIVE TO THE
AEO REFERENCE CASE IN 2022
[Billions of 2007 dollars] 371
2022
Quantified Annual Costs
Overall Fuel Cost a ............
¥$11.8.
Quantified Annual Benefits
Reduced GHG Emissions
(by SCC):
SCC 5% .........................
$0.6 to $1.1.
369 National Research Council (NRC). 2002.
Estimating the Public Health Benefits of Proposed
Air Pollution Regulations. The National Academies
Press: Washington, DC.
370 U.S. Environmental Protection Agency.
October 2006. Final Regulatory Impact Analysis
(RIA) for the Proposed National Ambient Air
Quality Standards for Particulate Matter. Prepared
by: Office of Air and Radiation. Available at
https://www.epa.gov/ttn/ecas/ria.html.
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TABLE VIII.E–1—QUANTIFIED COSTS
AND BENEFITS OF THE VOLUMES REQUIRED BY RFS2 RELATIVE TO THE
AEO REFERENCE CASE IN 2022—
Continued
[Billions of 2007 dollars] 371
2022
SCC 5% Newell-Pizer ....
SCC from 3% and 5% ...
SCC 3% .........................
SCC 3% Newell-Pizer ....
PM2.5- and Ozone-Related
Benefits b, c.
Energy Security Impacts ...
Total Benefits (by SCC):
SCC 5% .........................
SCC 5% Newell-Pizer ....
SCC from 3% and 5% ...
SCC 3% .........................
SCC 3% Newell-Pizer ....
$1.2 to $2.2.
$2.4 to $4.2.
$4.1 to $7.3.
$6.8 to $12.2.
¥$0.63 to
¥$2.2.
$2.6.
$1 to $3.1.
$1.6 to $4.2.
$2.8 to $6.2.
$4.5 to $9.3.
$7.2 to $14.2.
Quantified Net Benefits
Net Benefits (by SCC):
SCC 5% .........................
SCC 5% Newell-Pizer ....
SCC from 3% and 5% ...
SCC 3% .........................
SCC 3% Newell-Pizer ....
$13
$13
$15
$16
$19
to
to
to
to
to
$15.
$16.
$18.
$21.
$26.
a Negative costs represent fuel savings from
decreased gasoline and diesel consumption.
b Negative benefits indicate a disbenefit, or
an increase in monetized health impacts. Total
includes premature mortality-related and morbidity-related ozone and PM2.5 impacts. Range
was developed by adding the estimate from
the ozone premature mortality function to the
estimate of PM2.5-related premature mortality
derived from either the ACS study (Pope et
al., 2002) or the Six-Cities study (Laden et al.,
2006).
c The PM -related impacts presented in
2.5
this table assume a 3% discount rate in the
valuation of premature mortality to account for
a twenty-year segmented cessation lag. If a
7% discount rate had been used, the values
would be approximately 9% lower.
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IX. Impacts on Water
A. Background
As the production of biofuels
increases as required by this rule, there
may be adverse impacts on both water
quality and water quantity affecting
drinking water sources and ecological
habitats. The impacts could come from
several different pathways: Growing
crops for the biofuel feedstock as well
as production, storage, and distribution
of the biofuels. Increased production of
biofuel crops may lead to changes in the
management of cropland and the use of
fertilizer and pesticides that could lead
to greater loadings of nutrients,
pesticides, and sediment to our water
371 In
this table, we have included only the
estimates from the sector models as they provided
a more detailed breakdown of costs and benefits.
We have excluded estimates of the agricultural
sector impacts of the RFS2 in Table VIII F–1 since
these impacts are considered economic rents.
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resources. While there are methods to
minimize and mitigate the effects on
water resources, there is still a potential
to impact both human health and the
environment. Since both the irrigation
of corn and ethanol production use large
quantities of water, the supply of water
could also be significantly affected in
some locations.
1. Agriculture and Water Quality
There are three major pathways for
contaminants to reach water from
agricultural lands: Run off from the
land’s surface, man-made ditches or
subsurface tile drains, and leaching to
ground water. Many factors influence
the potential for contaminants such as
fertilizers, sediment, and pesticides to
reach water from agricultural lands,
including: Soil type, slope, climate, crop
type, and management. Management of
agricultural lands can take many forms,
but key factors include nutrient and
pesticide application rates and
application methods, tillage, use of
conservation practices and crop
rotations by farmers, and acreage and
intensity of artificially drained lands.
To examine the potential waterrelated impacts of growing crops for
biofuels, EPA focused its analysis on
corn production for several reasons.
First, corn acres have increased
dramatically, 20% from 2006 to 2007.
Although corn acres have since declined
somewhat, total corn acres in 2009
remained the second highest since
1946.372 Second, corn kernels are
currently the predominant and most
economically viable feedstock for
significant ethanol production. In
addition, corn stover (stalks, leaves) will
likely be the predominant feedstock for
cellulosic ethanol production in the
Upper Mississippi River Basin where
we modeled water quality impacts. And
third, corn production can contribute
significantly to water pollution. Corn
has the highest fertilizer and pesticide
use per acre and accounts for the largest
share of nitrogen fertilizer use among all
crops.373 Corn generally utilizes only 40
to 60 percent of the applied nitrogen
fertilizer or the residual organic nitrogen
from sources such as manure or
soybeans. The remaining nitrogen is
available to leave the field and run off
to surface waters, leach into ground
water, or volatilize to the air where it
372 U.S. Department of Agriculture, National
Agricultural Statistics Service, ‘‘Crop Production’’,
August 12, 2009, available online at: https://
usda.mannlib.cornell.edu/usda/current/CropProd/
CropProd-08-12-2009.pdf.
373 Committee on Water Implications of Biofuels
Production in the United States, National Research
Council, 2008, Water implications of biofuels
production in the United States, The National
Academies Press, Washington, DC, 88 pp.
PO 00000
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can return to water through depositional
processes.
Over the past 20 years, corn has been
increasingly grown in rotation with
other crops, especially soybeans. As
corn prices increase relative to prices for
other crops, more farmers choose to
grow corn every year (continuous corn).
Continuous corn production results in
significantly greater nitrogen losses
annually than a corn-soybean rotation
and lower yields per acre. In response,
farmers may add higher rates of nitrogen
fertilizer to try to match yields of corn
grown in rotation. Growing continuous
corn also increases the viability of pests
such as corn rootworm. Farmers may
increase the use of pesticides to control
these pests. As corn acres increase, use
of the common herbicides like atrazine
and glyphosate (e.g. Roundup) may also
increase.
High corn prices may encourage
farmers to grow corn on lands that are
marginal for row crop production such
as hay land or pasture. Typically,
agricultural producers apply far less
fertilizers and pesticides on pasture
land than land in row crops. Corn yield
on these marginal lands will be lower
and may require higher fertilizer rates.
Disturbances of these soils can release
nitrogen that has been stored in the soil.
Since nitrogen fertilizer prices are tied
to oil prices, fertilizer costs have
fluctuated. How agricultural producers
have responded to these changes in both
corn and fertilizer prices is unclear.
Artificial drainage is another
important factor in determining the
losses of nutrients from cropland.
Artificial drainage consists either of
subsurface tiles/pipes or man-made
ditches that move water from wet soils
to surface waters so crops can be
planted. In a few areas, drains move
water to wells and then groundwater
instead of to surface water. Artificial
drainage has transformed large expanses
of historic wetland soils into productive
agriculture lands. However, the artificial
drains or ditches also move nutrients
and pesticides more quickly to surface
waters without any of the attenuation
that would occur if these contaminants
moved through soils or wetlands. The
highest proportion of tile drainage
occurs in the Upper Mississippi and the
Ohio-Tennessee River basins in areas of
intensive corn production.374 Manmade
374 U.S. Environmental Protection Agency, EPA
Science Advisory Board, Hypoxia in the northern
Gulf of Mexico, EPA–SAB–08–003, 275 p., available
online at: https://yosemite.epa.gov/sab/
sabproduct.nsf/
C3D2F27094E03F90852573B800601D93/$File/EPASAB-08-003complete.unsigned.pdf.
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ditches predominate in areas like the
Eastern Shore of the Chesapeake Bay.
The increase in corn production and
prices may also have significant impacts
on voluntary conservation programs
funded by the U.S. Department of
Agriculture (USDA). Conservation
programs provide important funding to
help agricultural producers implement
practices to protect water quality and
other resources. As land values increase
due to higher crop prices, USDA
payments may not keep up with the
need for farmers and tenant farmers, to
make an adequate return. For example,
the cost of farmland in Iowa increased
an average of 18% in 2007 from 2006
prices.
Both land retirement programs, like
the Conservation Reserve Program
(CRP), and working land programs, like
the Environmental Quality Incentives
Program (EQIP), can be affected. Under
CRP, USDA contracts with farmers to
take land out of crop production to
plant grasses or trees. Generally farmers
put land into CRP because it is less
productive and has other characteristics
that make the cropland more
environmentally sensitive, such as high
erosion rates. CRP provides valuable
environmental benefits both for water
quality and for wildlife habitat.
Midwestern states, where much of U.S.
corn is grown, tend to have lower CRP
reenrollment rates than the national
average. Under EQIP, USDA makes costshare payments to farmers to implement
conservation practices. Some of the
most cost-effective practices
implemented through these
conservation programs include:
Riparian buffers; crop rotation;
appropriate rate, timing, and method of
fertilizer application; cover crops; and,
on tile-drained lands, treatment
wetlands and controlled drainage. If
producers believe that participation in
conservation programs may reduce their
profits, they may be less willing to
participate and/or require higher
payments to offset perceived losses.
The water quality impacts of
agricultural cellulosic feedstocks such
as corn stover and switchgrass are
unknown, since cellulosic ethanol is not
currently produced commercially. Corn
stover appears to be one of the most
viable feedstock for cellulosic ethanol,
especially in the Corn Belt states. When
left in the field, corn stover maintains
the soil organic carbon which has many
benefits as a source of nutrients,
preventing erosion by wind and water,
and increasing soil aeration and water
infiltration. If corn stover is
overharvested, there may be impacts to
both soil quality and water quality.
Unlike corn, switchgrass is a native,
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perennial crop that does not require
high inputs of fertilizers or pesticides.
As a perennial crop, there is limited
sediment runoff compared to annual
crops. There is very minimal acreage of
switchgrass grown at the present time,
so it is difficult to predict what inputs
farmers will use to cultivate it as a
commercial crop. Some concern has
been expressed about farmers increasing
fertilizer application rates and irrigation
on switchgrass to increase yields.
2. Ecological Impacts
Nitrogen and phosphorus enrichment
due to human activities is one of the
leading problems facing our nation’s
lakes, reservoirs, and estuaries. Nutrient
enrichment also has negative impacts on
aquatic life in streams; adverse health
effects on humans and domestic
animals; and impairs aesthetic and
recreational use. Excess nutrients can
lead to excessive growth of algae in
rivers and streams, and aquatic plants in
all waters. For example, declines in
invertebrate community structure have
been correlated directly with increases
in phosphorus concentration. High
concentrations of nitrogen in the form of
ammonia are toxic to aquatic animals.
Excessive levels of algae have also been
shown to be damaging to invertebrates.
Finally, fish and invertebrates will
experience growth problems and can die
if either oxygen is depleted or pH
increases are severe. Both of these
conditions are symptoms of
eutrophication. As a biologic system
becomes more enriched by nutrients,
different species of algae may spread
and species composition can shift.
Nutrient pollution is widespread.
Although the most widely known
examples of significant nutrient impacts
are in the Gulf of Mexico and the
Chesapeake Bay, there are known
impacts in over 80 estuaries/bays, and
thousands of rivers, streams, and lakes.
Waterbodies in virtually every state and
territory in the U.S. are impacted by
nutrient-related degradation. Reducing
nutrient pollution is a priority for EPA.
3. Impacts to the Gulf of Mexico
According to the National Research
Council, nutrients and sediment are the
two primary water quality problems in
the Mississippi River Basin and the Gulf
of Mexico.375 Production of corn for
ethanol may exacerbate these existing
serious water quality problems.
Nitrogen fertilizer applications to corn
375 Committee on the Mississippi River and the
Clean Water Act, National Research Council, 2008,
Mississippi River Water Quality and the Clean
Water Act: Progress, Challenges, and Opportunities,
The National Academies Press, Washington, DC,
252 pp.
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14853
are already the major source of total
nitrogen loadings to the Mississippi
River. A large area of low oxygen, or
hypoxia, forms in the Gulf of Mexico
every year, often called the ‘‘dead zone.’’
The primary cause of the hypoxia is
excess nutrients (nitrogen and
phosphorus) from the Upper Midwest
flowing into the Mississippi River to the
Gulf. These nutrients trigger excessive
algal growth (or eutrophication)
resulting in reduced sunlight, loss of
aquatic habitat, and a decrease in
oxygen dissolved in the water. Hypoxia
threatens commercial and recreational
fisheries in the Gulf because fish,
shrimp, and other aquatic species
cannot live in the low oxygen waters.
The 2008 hypoxic zone was measured
at 8,000 square miles, the second largest
since measurements began in 1985.376
In 2009 models predicted an even larger
hypoxic zone, but it was measured at
only 3,000 square miles. A combination
of below average high flows on the
Mississippi River and winds that mixed
Gulf waters are the likely causes of the
reduced size of the 2009 zone. The
Mississippi River/Gulf of Mexico
Watershed Nutrient Task Force’s ‘‘Gulf
Hypoxia Action Plan 2008’’ calls for a
45% reduction in both nitrogen and
phosphorus reaching the Gulf to reduce
the size of the zone.377 The Action Plan
states that an additional reduction in
nitrogen and phosphorus beyond the
45% would be necessary to account for
increased corn production for ethanol
and climate change impacts.
Alexander, et al.378 modeled the
sources of nutrient loadings to the Gulf
of Mexico using the USGS SPARROW
model. They estimated that agricultural
sources contribute more than 70% of the
delivered nitrogen and phosphorus.
Corn and soybean production accounted
for 52% of nitrogen delivery and 25%
of the phosphorus delivery.
Several recent scientific reports have
estimated the impact of increasing
ethanol feedstock acres in the Gulf of
376 Louisiana Universities Marine Consortium,
2009, ‘Gulf of Mexico Dead Zone Surprising Small,
but Severe, available online at: https://
www.gulfhypoxia.net/Research/
Shelfwide%20Cruises/2009/Files/
Press_Release.pdf.
377 Mississippi River/Gulf of Mexico Watershed
Nutrient Task Force, 2008, Gulf hypoxia action plan
2008 for reducing, mitigating, and controlling
hypoxia in the northern Gulf of Mexico and
improving water quality in the Mississippi River
basin, 61 p., Washington, DC, available online at:
https://www.epa.gov/msbasin/actionplan.htm.
378 Alexander, R.B., Smith, R.A., Schwarz, G.E.,
Boyer, E.W., Nolan, J.V., and Brakebill, J.W., 2008,
Differences in phosphorus and nitrogen delivery to
the Gulf of Mexico from the Mississippi River basin,
Environmental Science and Technology, v. 42, no.
3, p. 822–830, available online at: https://
pubs.acs.org/cgi-bin/abstract.cgi/esthag/2008/42/
i03/abs/es0716103.html.
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Mexico watershed. Donner and
Kucharik’s 379 study showed increases
in nitrogen export to the Gulf as a result
of increasing corn ethanol production
from 2007 levels to 15 billion gallons in
2022. They concluded that the
expansion of corn-based ethanol
production could make it almost
impossible to meet the Gulf of Mexico
nitrogen reduction goals without a
‘‘radical shift’’ in feed production,
livestock diet, and management of
agricultural lands. The study estimated
a mean dissolved inorganic nitrogen
load increase of 10% to 18% from 2007
to 2022 to meet the 15 billion gallon
corn ethanol goal. EPA’s Science
Advisory Board report to the
Mississippi River/Gulf of Mexico
Watershed Task Force estimated that
corn grown for ethanol will result in an
additional national annual loading of
almost 300 million pounds of nitrogen.
An estimated 80% of that nitrogen
loading or 238 million pounds will
occur in the Mississippi-Atchafalaya
River Basin and contribute nitrogen to
the hypoxia in the Gulf of Mexico. The
results of a study by Costello, et al.
indicate that moving from corn to
switchgrass and corn stover to produce
ethanol will result in a 20% decrease in
the nitrate outputs from the MississippiAtchafalaya River Basin. This decrease
is not enough to meet the EPA target for
reduction of the hypoxic zone
reduction.380
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B. Upper Mississippi River Basin
Analysis
To provide a quantitative estimate of
the impact of the increased use of
renewable fuels and production of corn
ethanol generally on water quality, EPA
conducted an analysis that modeled the
changes in loadings of nitrogen,
phosphorus, and sediment from
agricultural production in the Upper
Mississippi River Basin (UMRB). The
UMRB drains approximately 189,000
square miles, including large parts of
the states of Illinois, Iowa, Minnesota,
Missouri, and Wisconsin. Small
portions of Indiana, Michigan, and
South Dakota also lie within the basin.
EPA selected the UMRB because it is
representative of the many potential
issues associated with ethanol
production, including its connection to
379 Donner, S.D. and Kucharik, C.J., 2008, Cornbased ethanol production compromises goal of
reducing nitrogen export by the Mississippi River,
PNAS, v. 105, no. 11, p. 4513–4518, available
online at: https://www.pnas.org/content/105/11/
4513.full.
380 Costello, C.; Griffin, W.M.; Landis, A.E.;
Matthew, H.S., 2009, Impact of biofuel crop
production on the formation of hypoxia in the Gulf
of Mexico, Environmental Science and Technology,
43 (20), pp. 7985–7991.
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major water quality concerns such as
Gulf of Mexico hypoxia, large corn
production, and numerous ethanol
production plants.
On average the UMRB contributes
about 39% of the total nitrogen loads
and 26% of the total phosphorus loads
to the Gulf of Mexico. The high
percentage of nitrogen from the UMRB
is primarily due to the large inputs of
fertilizer for agriculture and the 60% of
cropland that is artificially drained by
tiles. Since the mid 1990s, the annual
nitrate-nitrogen flux has steadily
decreased. The Science Advisory Board
report attributes this decline to higher
amount of nitrogen removed during
harvest, due to higher crop yields. For
the same time period, phosphorus
inputs increased 12%.
1. SWAT Model
EPA selected the SWAT (Soil and
Water Assessment Tool) model to assess
nutrient and sediment loads from
changes in agricultural production in
the UMRB. SWAT is a physical process
model developed to quantify the impact
of land management practices in large,
complex watersheds.381
2. AEO 2007 Reference Case
In order to assess alternative potential
future conditions within the UMRB,
EPA developed a SWAT model of a
reference case scenario of current
conditions against which to analyze the
future impact of increased corn
production. For the NPRM, we used a
2005 baseline. For the final rule, we
revised the baseline to correspond with
the agricultural analysis described in
Section VIII.A. Therefore we used the
corn ethanol production baseline from
the Annual Energy Outlook (AEO) 2007
report382 as our reference case. We
assumed that 33% of the corn produced
in the UMRB was converted to corn
ethanol, based on estimates from
USDA.383 This baseline does not
include corn ethanol produced at the
volumes required by this rulemaking.
The analysis assumes that no cellulosic
ethanol, including ethanol produced
381 Gassman, P.W., Reyes, M.R., Green, C.H.,
Arnold, J.G., 2007, The soil and water assessment
tool: Historical development, applications, and
future research directions. Transactions of the
American Society of Agricultural and Biological
Engineers, v. 50, no. 4, p. 1211–1240. https://
www.card.iastate.edu/environment/items/
asabe_swat.pdf.
382 U. S. Department of Energy, Energy
Information Administration, Annual Energy
Outlook 2007 With Projections to 2030, February
2007, available on-line at: https://tonto.eia.doe.gov/
ftproot/forecasting/0383(2007).pdf.
383 U.S. Department of Agriculture, USDA
Agricultural Projections to 2018, February 2009,
available on-line at: https://www.ers.usda.gov/
Publications/OCE091/.
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from corn stover, would be produced in
the reference case since the AEO report
did not include cellulosic ethanol
production in its estimates.
The SWAT model was applied (i.e.,
calibrated) to the UMRB using 1960 to
2001 weather data and flow and water
quality data from 13 USGS gages on the
main stem of the Mississippi River. The
42-year SWAT model runs were
performed and the results analyzed to
establish runoff, sediment, nitrogen, and
phosphorous loadings from each of the
131 8-digit HUC subwatersheds and the
larger 4-digit subbasins, along with the
total outflow from the UMRB and at the
various USGS gage sites along the
Mississippi River. These results
provided the Reference Scenario model
values to which the future alternatives
are compared.
Physical structures that disconnect
fertile floodplains with seasonal
fluctuation of stream and river levels
also affect water quantity and quality by
altering the ability of these soils to serve
as a sink for nutrient rich waters. In lieu
of data on where these structures are or
may be constructed, these effects were
not modeled.
3. Reference Cases and RFS2 Control
Case
To assess the impacts of the increased
use of corn ethanol, we modeled an
RFS2 Control Case and compared it to
both the AEO 2007 Reference Case and
the RFS1 Mandate Reference Case for
the years 2010, 2015, 2020, and 2022.
The RFS2 national corn ethanol
volumes of 11.24 billion gallons a year
(BGY) for 2010, and 15 BGY for 2016 to
2022 were adjusted for the UMRB.
Annual increases in corn yield of 1.23%
were built into the future scenarios.
National average corn yields have been
increasing primarily due to favorable
weather conditions and improvement in
practices to reduce stress on the corn
plants from excess water, drought, and
pests. Fewer corn acres were needed to
meet ethanol production goals in the
Control Case scenario after 2015 due to
those yield increases. Corn acres
increased 9% in 2022 between the AEO
2007 Reference Case and the RFS2 (No
Stover) Control Case. We were not able
to model the impacts of corn stover
removal at this time, so the analysis
only reflects the impacts of increased
use of corn grain for renewable fuel use.
Tables IX.B.3–1 through IX.B.3–3
compare the model outputs for nitrogen,
phosphorus, and sediment between the
AEO 2007 Reference Case and the RFS2
(No Stover) Control Case scenarios for
the years 2010, 2015, 2020, and 2022.
Land load is the total amount of
nitrogen or phosphorus that reaches a
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stream within the UMRB. The total
outflow is the nitrogen, phosphorus, or
sediment measured at the outlet of the
UMRB at Grafton, Illinois after
accounting for in-stream loses due to
uptake or assimilation. These results
only estimate loadings from the Upper
Mississippi River basin, not the entire
Mississippi River watershed. As noted
earlier, the UMRB contributes about
39% of the total nitrogen loads and 26%
of total phosphorus loads to the Gulf of
Mexico. The decreasing nutrient load
over time is likely attributable to the
14855
increased average corn yield per acre,
resulting in greater plant uptake of
nitrogen and fewer corn acres planted to
reach the ethanol production
requirements of this rule.
TABLE IX.B.3–1—AVERAGE ANNUAL NITROGEN LOADS: COMPARISON OF AEO 2007 REFERENCE CASE TO THE 2022
RFS2 (NO STOVER) CONTROL CASE
[% difference in parentheses]
AEO 2007 reference case
Model run
2010
2015
2020
2022
Total land load,
million lbs
.........................................................................................
.........................................................................................
.........................................................................................
.........................................................................................
About 24 to 26% of the nitrogen and
phosphorus leaving agricultural fields
was assimilated (taken by aquatic plants
or volatilized) before reaching the outlet
of the UMRB. The assimilated nitrogen
is not necessarily eliminated as an
2022 RFS2 (No Stover) Control case
Total outflow,
million lbs
1948
1911
1887
1877
1470
1441
1421
1413
environmental concern. Five percent or
more of the nitrogen can be converted
to nitrous gas, a powerful greenhouse
gas that has 300 times the climate
warming potential of carbon dioxide,
the major greenhouse. Thus, a water
Total land load,
million lbs
1944 (¥0.21)
1946 (1.83)
1912 (1.32)
1897 (1.07)
Total outflow,
million lbs
1467 (¥0.20)
1469 (1.94)
1442 (1.48)
1430 (1.20)
pollutant becomes an air pollutant until
it is either captured through biological
sequestration or converted fully to
elemental nitrogen.
TABLE IX.B.3–2—AVERAGE ANNUAL PHOSPHORUS LOADS: COMPARISON OF AEO 2007 REFERENCE CASE TO THE 2022
RFS2 (NO STOVER) CONTROL CASE
[% difference in parentheses]
AEO 2007 Reference case
Model run
2010
2015
2020
2022
Total land load,
million lbs
.........................................................................................
.........................................................................................
.........................................................................................
.........................................................................................
Total sediment outflow showed very
little change over all scenarios. This
result is primarily due to corn stover
remaining on the field following harvest
and therefore reducing sediment
transport to water.
TABLE IX.B.3–3—AVERAGE ANNUAL
SEDIMENT LOADS: COMPARISON OF
AEO 2007 REFERENCE CASE TO
THE 2022 RFS2 CONTROL CASE
[% difference in parentheses]
2007 AEO
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Model run
2010
2015
2020
2022
..........
..........
..........
..........
2022 Control
volume case
Total outflow,
million tons
Total outflow,
million tons
6.231
6.221
6.214
6.211
6.232
6.233
6.224
6.220
(0.02)
(0.19)
(0.16)
(0.14)
The relationship between the number
of acres of corn needed to produce
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14:37 Mar 25, 2010
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Total outflow,
million lbs
180.0
178.2
177.0
176.5
133.8
132.3
131.3
130.9
ethanol and the crop yield is a complex
relationship. Increased demand for corn
based ethanol will not always result in
increases in corn acres. Our modeling
demonstrated that in less than a decade,
increasing corn yields may counter the
need for increased corn production
resulting in the number of acres of corn
stabilizing and additional nutrient and
sediment loadings decreasing from the
earlier peaks.
At this time, we are not able to assess
the impact of these additional loadings
on the size of the Gulf of Mexico
hypoxia zone or water quality within
the UMRB. For more details on the
analysis, including comparisons with
the RFS1, see Chapter 6 in the RIA.
4. Case Study
To evaluate local water quality
impacts that are impossible to ascertain
at the scale of the UMRB, we also
modeled the Raccoon River watershed
in central Iowa. The criteria for
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2022 RFS2 (No Stover) control case
Total land load,
million lbs
179.9 (¥0.06)
179.6 (0.79)
178.2 (0.68)
177.6 (0.62)
Total outflow,
million lbs
133.7 (¥0.07)
133.6 (0.98)
132.4 (0.84)
131.8 (0.69)
choosing this watershed included:
Percentage of corn area representative of
the UMRB, stream segments included in
EPA’s 303(d) list of impaired waters due
to high nutrient levels, biorefinery
plants, drinking water intakes, and
observed streamflow and water quality
data. Nearly 88% of the watershed is in
agriculture. 75% of the watershed
produces corn and soybeans, mostly in
rotation. Hay and other row crops are
produced on the remaining agriculture
land. The city of Des Moines makes up
about 8% of the watershed. The state of
Iowa has listed numerous stream
segments of the Raccoon River as
impaired.
The case study used the same
assumptions and scenarios as those
used for the UMRB analysis. SWATsimulated streamflow and water quality
(total nitrogen and phosphorus, and
sediment loadings) were calibrated
against observed data at both monthly
and yearly time steps.
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As in the UMRB study, nitrogen loads
to water increased for the future
scenarios, though at a greater rate.
Future phosphorus loads decreased in
the Raccoon River model, where they
had shown minor increases in the
UMRB model. For the Raccoon River,
there was a greater decrease in sediment
load, which is the likely cause for the
decrease in phosphorus loadings.
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5. Sensitivity Analysis
Using the existing UMRB SWAT
model, a sensitivity analysis was
conducted on a number of important
meteorological and management related
factors. The goal was to further
understand the model characteristics
and sensitivities to parameters and
input forcing functions that control the
model response for the key
environmental indicators of concern.
Scenarios were constructed using four
factors: fertilization application
threshold, corn residue removal, daily
air temperature, and daily precipitation.
The results of the analysis showed that
rainfall and temperature are the most
influential factors for all model outputs:
water yield, total nitrogen and
phosphorus loadings, and sediment
loadings. These results underscored the
importance of representing these two
driving factors accurately in hydrologic
modeling. Corn residue removal
noticeably reduced nutrient loading into
streams while increasing sediment
loads. However, since corn residue is
the main source of organic nitrogen and
phosphorus, the removal of the residue
leads to the need for higher nutrient
inputs in the growing season. The
fertilization application threshold
scenario did not tangibly impact water
yield and sediment loading. The
findings from this study indicated that
future climate change could greatly
influence water availability and
pollution from corn cropland.
C. Additional Water Issues
The full water quality and water
quantity impacts resulting from corn
ethanol production go beyond the
ability of our model. For example, the
model does not account for fresh water
constraints in irrigated agriculture in
corn producing areas or predict future
increases in drainage of agricultural
lands. The following issues are
summarized to provide additional
context about the broader range of
potential impacts. See Chapter 6 in the
RIA for more discussion of these issues.
1. Chesapeake Bay Watershed
In May 2009, President Obama issued
Executive Order 13508 on Chesapeake
Bay Restoration and Protection. The
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order established a Federal Leadership
Committee, chaired by EPA, and with
senior representatives from the
departments of Agriculture, Commerce,
Defense, Homeland Security, Interior,
and Transportation. In November 2009,
these federal agencies released a draft
strategy which contains a range of
approaches for accelerating cleanup of
the nation’s largest estuary and its vast
watershed.384 The draft strategy calls for
increased accountability and
performance from pollution control,
habitat protection and land conservation
programs at all levels of government,
including an expanded use of regulatory
authorities to address pollution control
and additional voluntary and marketbased solutions—particularly when it
comes to habitat protection and land
conservation programs. The proposed
actions are in response to overwhelming
scientific evidence that the health of the
Chesapeake Bay remains exceptionally
poor, despite the concerted restoration
efforts of the past 25 years.
Agricultural lands contribute more
nutrients to the Chesapeake Bay than
any other land use. To estimate the
increase in nutrient loads to the Bay
from changes to agricultural crop
production from 2005 to 2008, the
Chesapeake Bay Program Watershed
Model Phase 4.3 and Vortex models
were utilized. Total nitrogen loads
increased by almost 2.4 million pounds
from an increase of almost 66,000 corn
acres. As agriculture land use shifts
from hay and pasture to more
intensively fertilized row crops, this
analysis estimates that nitrogen loads
increase by 8.8 million pounds.
2. Ethanol Production and Distribution
a. Production
There are three principal sources of
discharges to water from ethanol plants:
reject water from water purification,
cooling water blowdown, and off-batch
ethanol. Most ethanol facilities use
onsite wells to produce the process
water for the ethanol process.
Groundwater sources are generally not
suitable for process water because of
their mineral content. Therefore, the
water must be treated, commonly by
reverse osmosis. For every two gallons
of pure water produced, about a gallon
of brine is discharged as reject water
from this process. Most estimates of
water consumption in ethanol
production are based on the use of clean
384 Federal Leadership Committee for the
Chesapeake Bay, November 9, 2009, Executive
Order 13508: Draft Strategy for Protecting and
Restoring the Chesapeake Bay, available on-line at:
https://executiveorder.chesapeakebay.net/.
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process water and neglect the water
discharged as reject water.
The largest source of wastewater
discharge is reverse osmosis reject water
from process water purification. The
reverse osmosis process concentrates
groundwater minerals to levels where
they can have water quality impacts.
There is really no means of ‘‘treating’’
these ions to reduce toxicity, other than
further concentration and disposal, or
use of in-stream dilution. Some facilities
have had to construct long pipelines to
get access to dilution so they can meet
water quality standards. Ethanol plants
also discharge cooling water blowdown,
where some water is discharged to avoid
the buildup of minerals in the cooling
system. These brines are similar to the
reject water described above. In
addition, if off-batch ethanol product or
process water is discharged, the waste
stream can have high Biochemical
Oxygen Demand (BOD) levels. BOD
directly affects the amount of dissolved
oxygen in rivers and streams. The
greater the BOD, the more rapidly
oxygen is depleted in the stream. The
consequences of high BOD are the same
as those for low dissolved oxygen:
aquatic organisms become stressed,
suffocate, and die.
Older generation production facilities
used four to six gallons of process water
to produce a gallon of ethanol, but
newer facilities use less than three
gallons of water in the production
process. Most of this water savings is
gained through improved recycling of
water and heat in the process. Water
supply is a local issue, and there have
been concerns with water consumption
as new plants go online. Some facilities
are tapping into deeper aquifers as a
source of water. These deeper water
resources tend to contain higher levels
of minerals and this can further increase
the concentration of minerals in reverse
osmosis reject water. Geographic
impacts of water use vary. A typical
plant producing 50 million gallons of
ethanol per year uses a minimum of 175
million gallons of water annually. In
Iowa, water consumption from ethanol
refining accounts for about seven
percent of all industrial water use, and
is projected to be 14% by 2012—or
about 50 million gallons per day.
b. Distillers Grain with Solubles
Distillers grain with solubles (DGS) is
an important co-product of ethanol
production. About one-third of the corn
processed into ethanol is converted into
DGS. DGS has become an increasingly
important feed component for confined
livestock. DGS are higher in crude
protein (nitrogen) and three to four
times higher in phosphorus relative to
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traditional feeds. When nitrogen and
phosphorus are fed in excess of the
animal’s needs, these nutrients are
excreted in the manure. When manure
is applied to crops at rates above their
nutrient needs or at times the crop
cannot use the nutrients, the nutrients
can run off to surface waters or leach
into ground waters.
Livestock producers can limit the
potential pollution from manure
applications to crops by implementing
comprehensive nutrient management.
Due to the substantially higher
phosphorus content of manure from
livestock fed DGS, producers will
potentially need significantly more
acres to apply the manure so that
phosphorus will not be applied at rates
above the needs of the crops. This is a
particularly important concern in areas
where concentrated livestock
production already produces more
phosphorus in the manure than can be
taken up by crops or pasture land in the
vicinity.
Several recent studies have indicated
that DGS may have an impact on food
safety. Cattle fed DGS have a higher
prevalence of a major food-borne
pathogen, E. coli O157, than cattle
without DGS in their diets.385 More
research is needed to confirm these
studies and devise methods to eliminate
the potential risks.
c. Ethanol Leaks and Spills from Fueling
Stations
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The potential for exposure to fuel
components and/or additives can occur
when underground fuel storage tanks
leak fuel into ground water that is used
for drinking water supplies or when
spills occur from aboveground tanks or
distribution systems that contaminate
surface drinking water supplies, or
surface waters. Additionally, in surface
waters, rapid biodegradation of ethanol
can result in depletion of dissolved
oxygen with potential mortality to
aquatic life.
Regarding leaks or spills and drinking
water impacts, ethanol biodegrades
quickly and is not necessarily the
pollutant of greatest concern in these
situations. Instead, ethanol’s high
biodegradability shifts the subsurface
geochemistry, which can cause the
reduced biodegradation of benzene,
toluene, and xylene (up to 50% for
385 Jacob, M. D., Fox, J. T., Drouillard, J. S.,
Renter, D. G., Nagaraja, T. G., 2008, Effects of dried
distillers’ grain on fecal prevalence and growth of
Escherichia coli O157 in batch culture
fermentations from cattle, Applied and
Environmental Microbiology, v. 74, no. 1, p. 38–43,
available online at: https://aem.asm.org/cgi/content/
abstract/74/1/38.
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toluene and 95% for benzene).386 The
plume of BTEX compounds from a fuel
spill (benzene, toluene, ethylbenzene
and xylenes) can extend as much as
70% farther in ground water and can
persist longer, thereby increasing
potential exposures to these
compounds.387
Ethanol leak and spills from the
approximately 600,000 gas stations in
the U.S, could have a significant impact
on water quality and drinking water
supplies. Urban areas, that rely on
ground water for drinking water would
be affected most, especially where are
existing water shortages.
With the increasing use of ethanol in
the fuel supply nationwide, it is
important to understand the impact of
ethanol on the existing tank
infrastructure. Federal regulations
require that underground storage tank
(UST) systems be compatible with the
fuel stored. Because much of the current
underground storage tank equipment
was designed and tested for use with
petroleum fuels, there may be many
UST systems currently in use that
contain materials that are incompatible
with ethanol blends greater than 10%.
Combined with the fact that ethanol is
more corrosive than petroleum, there is
concern regarding the increased
potential for leaks from existing
distribution systems, terminals and gas
stations and subsequent impacts on
water supplies. Given the practical
challenges of determining the age and
materials of underground storage
equipment at approximately 233,000
federally regulated facilities, it may be
difficult or impossible to confirm the
compatibility of current underground
storage tanks and other tank-related
hardware with ethanol blends. Further
discussion of challenges in retail
distribution are discussed in Section 1.6
of the RIA.
In 2008, there were 7,400 reported
releases from underground storage
tanks. Therefore, EPA is undertaking
analyses designed to assess the potential
impacts of ethanol blends on tank
infrastructure and leak detection
systems and determine the resulting
water quality impacts.
386 Mackay, D.M., de Sieyes, N. R., Einarson,
M.D., Feris, K.P., Pappas, A.A., Wood, I.A.,
Jacobson, L., Justice, L.G., Noske, M.N., Scow, K.M.,
and Wilson, J.T., 2006, Impact of ethanol on the
natural attenuation of benzene, toluene, and
o-Xylene in a normally sulfate-reducing aquifer,
Environmental Science & Technology, v. 40, p.
6123–6130.
387 Ruiz-Aguilar, G. M. L.; O’Reilly, K.; Alvarez,
P. J. J., 2003, Forum: A comparison of benzene and
toluene plume lengths for sites contaminated with
regular vs. ethanol-amended gasoline, Ground
Water Monitoring and Remediation, v. 23, p. 48–53.
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14857
3. Biodiesel Plants
Biodiesel plants use much less water
than ethanol plants. Water is used for
washing impurities from the finished
product. Water use is variable, but is
usually less than one gallon of water for
each gallon of biodiesel produced.
Larger well-designed plants use water
more sparingly, while smaller producers
use more water. Some facilities recycle
washwater, which reduces water
consumption. The levels of BOD
(biological oxygen demand) in process
wastewater from biodiesel plants is
highly variable. Most production
processes produce washwater that has
very high BOD levels. The high BOD
levels of these wastes can overload and
disrupt municipal treatment plants.
Crude glycerin is an important side
product from the biodiesel process and
is about 10% of the final product.
Although there is a commercial market
for glycerin, the rapid development of
the biodiesel industry has caused a glut
of glycerin production and many
facilities dispose of their glycerin. Poor
handling of crude glycerin has resulted
in disruptions at sewage treatment
plants and fish kills.
4. Water Quantity
Water demand for crop production for
ethanol could potentially be much
larger than biorefinery demand.
According to the National Research
Council, the demand for water to
irrigate crops for biofuels will not have
an impact on national water use, but it
is likely to have significant local and
regional impacts. The impact is crop
and region specific, but could be
especially great in areas where new
acres are irrigated.
5. Drinking Water
Increased corn production will result
in the increased use of fertilizers and
herbicides which can drain to surface
water or ground water sources used by
public water systems and individual
home owners on private wells. This may
increase the occurrence of nitrate,
nitrite, and the herbicide Atrazine in
sources of drinking water. The U.S.
Geological Survey evaluated the fate
and transport of herbicides in surface
water, ground water, and in
precipitation in the Midwest during the
1990s. The results of these studies
showed the occurrence and temporal
distribution of herbicides and their
associated degradation products in
reservoir outflows.388
388 Scribner, E.A., Thurman, E.M., Goolsby, D.A.,
Meyer, M.T., Battaglin, W.A., and Kolpin, D.W.,
2005, Summary of significant results from studies
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Under the Safe Drinking Water Act,
EPA has established enforceable
standards for these contaminants that
apply to public water systems. Source
water contamination by these chemicals
may raise local water system costs for
treatment or for increased energy to
pump water where ethanol production
is accelerating the long running
depletion of aquifers e.g., pumping extra
water to grow the additional corn in
addition to pumping extra water to
process the corn into ethanol. There is
also an (often concurrent) risk of
exhausting local drinking water
supplies where aquifers have been
severely depleted.
X. Public Participation
Many interested parties participated
in the rulemaking process that
culminates with this final rule. This
process provided opportunity for
submitting written public comments
following the proposal that we
published on May 26, 2009 (74 FR
24904), and we considered these
comments in developing the final rule.
In addition, we held a public hearing on
the proposed rulemaking on June 9,
2009, and we have considered
comments presented at the hearing.
Throughout the rulemaking process,
EPA met with stakeholders including
representatives from the fuel and
renewable fuels industries, the
agricultural sector, and others. The
program we are finalizing today was
developed as a collaborative effort with
these stakeholders.
We have prepared a detailed
Summary and Analysis of Comments
document, which describes the
comments we received on the proposal
and our response to each of these
comments. The Summary and Analysis
of Comments is available in the docket
for this rule at the Internet address
listed under ADDRESSES, as well as on
the Office of Transportation and Air
Quality Web site (https://www.epa.gov/
otaq/renewablefuels/index.htm). In
addition, comments and responses for
key issues are included throughout this
preamble.
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XI. Statutory and Executive Order
Reviews
A. Executive Order 12866: Regulatory
Planning and Review
Under section 3(f)(1) of Executive
Order (EO) 12866 (58 FR 51735, October
4, 1993), this action is an ‘‘economically
of triazine herbicides and their degradation
products in surface water, ground water, and
precipitation in the Midwestern United States
during the 1990s: U.S. Geological Survey Scientific
Investigations Report 2005–5094, 27 p.
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significant regulatory action’’ because it
is likely to have an annual effect on the
economy of $100 million or more.
Accordingly, EPA submitted this action
to the Office of Management and Budget
(OMB) for review under EO 12866 and
any changes made in response to OMB
recommendations have been
documented in the docket for this
action.
In addition, EPA prepared an analysis
of the potential costs and benefits
associated with this action. This
analysis is contained in the Regulatory
Impact Analysis, which is available in
the docket for this rulemaking and at the
docket internet address listed under
ADDRESSES in the first part of this final
rule.
B. Paperwork Reduction Act
The information collection
requirements in this have been
submitted for approval to the Office of
Management and Budget (OMB) under
the Paperwork Reduction Act, 44 U.S.C.
3501 et seq. The information collection
requirements are not enforceable until
OMB approves them.
Information to be collected under this
rulemaking includes compliance reports
and reports regarding the generation and
assignment of, and transactions
involving, RINs. This final rule involves
registration requirements, recordkeeping
and reporting. Affected parties include
producers of renewable fuels, importers,
domestic and foreign refiners, exporters,
domestic and foreign parties who own
RINs, and biofuel feedstock producers.
Individual items of recordkeeping and
reporting are discussed in great detail in
this preamble and in the ‘‘Supporting
Statement for the Renewable Fuels
Standard (RFS2) Final Rule,’’ which has
been placed in the public docket.
We estimate the annual recordkeeping
and reporting burden for this rule at 3.2
hours per response. We estimate a total
of 1,060,026 respondents; 4,781,126
responses; 1,485,008 burden hours, and
a total cost associated with responding
of $112,872,105. Burden is defined at 5
CFR 1320.3(b).
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. In
addition, EPA is amending the table in
40 CFR part 9 of currently approved
OMB control numbers for various
regulations to list the regulatory
citations for the information
requirements contained in this final
rule.
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C. Regulatory Flexibility Act
1. Overview
The Regulatory Flexibility Act (RFA)
generally requires an agency to prepare
a regulatory flexibility analysis of any
rule subject to notice and comment
rulemaking requirements under the
Administrative Procedure Act or any
other statute unless the agency certifies
that the rule will not have a significant
economic impact on a substantial
number of small entities. Small entities
include small businesses, small
organizations, and small governmental
jurisdictions.
For purposes of assessing the impacts
of the renewable fuel volume
requirements of RFS2 on small entities,
small entity is defined as: (1) A small
business as defined by the Small
Business Administration’s (SBA)
regulations at 13 CFR 121.201 (see table
below); (2) a small governmental
jurisdiction that is a government of a
city, county, town, school district or
special district with a population of less
than 50,000; and (3) a small
organization that is any not-for-profit
enterprise which is independently
owned and operated and is not
dominant in its field.
The following table provides an
overview of the primary SBA small
business categories potentially affected
by this regulation:
Industry a
Gasoline and
diesel fuel refiners.
Defined as
small entity by
SBA if:
≤1,500 employees.
NAICS a
codes
324110
a North American Industrial Classification
System.
2. Background
Section 1501 of the Energy Policy Act
of 2005 (EPAct) amended section 211 of
the Clean Air Act (CAA) by adding
section 211(o) which required the
Environmental Protection Agency (EPA)
to promulgate regulations implementing
a renewable fuel program. EPAct
specified that the regulations must
ensure a specific volume of renewable
fuel to be used in gasoline sold in the
U.S. each year, with the total volume
increasing over time. The goal of the
program was to reduce dependence on
foreign sources of petroleum, increase
domestic sources of energy, and help
transition to alternatives to petroleum in
the transportation sector.
The final Renewable Fuels Standard
(RFS1) program rule was published on
May 1, 2007, and the program began on
September 1, 2007. Per EPAct, the RFS1
program created a specific annual level
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for minimum renewable fuel use that
increases over time—resulting in a
requirement that 7.5 billion gallons of
renewable fuel be blended into gasoline
(for highway use only) by 2012. Under
the RFS1 program, compliance is based
on meeting the required annual
renewable fuel volume percent standard
(published annually in the Federal
Register by EPA) through the use of
Renewable Identification Numbers, or
RINs, 38-digit serial numbers assigned
to each batch of renewable fuel
produced. For obligated parties (those
who must meet the annual volume
percent standard), RINs must be
acquired to show compliance.
The Energy Independence and
Security Act of 2007 (EISA) amended
section 211(o), and the RFS program, by
requiring higher volumes of renewable
fuels, to result in 36 billion gallons of
renewable fuel by 2022. EISA also
expanded the purview of the RFS1
program by requiring that these
renewable fuels be blended into
gasoline and diesel fuel (both highway
and nonroad). This expanded the pool
of regulated entities, so the obligated
parties under the RFS program will now
include certain refiners, importers, and
blenders of these fuels that were not
previously covered by the RFS1
program. In addition to the total
renewable fuel standard required by
EPAct, EISA added standards for three
additional types of renewable fuels to
the program (advanced biofuel,
cellulosic biofuel, and biomass-based
diesel) and requires compliance with all
four standards.
As required by section 609(b) of the
RFA, as amended by SBREFA, EPA also
conducted outreach to small entities
and convened a Small Business
Advocacy Review Panel to obtain advice
and recommendations of representatives
of the small entities that potentially
would be subject to the rule’s
requirements.
3. Summary of Potentially Affected
Small Entities
The small entities that will potentially
be subject to the RFS program include:
domestic refiners that produce gasoline
and/or diesel and importers of gasoline
and/or diesel into the United States.
Based on 2007 data, EPA believes that
there are about 95 refiners of gasoline
and diesel fuel. Of these, EPA believes
that there are currently 17 refiners,
owning 20 refineries, producing
gasoline and/or diesel fuel that meet the
SBA small entity definition of having
1,500 employees or less. Further, we
believe that three of these refiners own
refineries that do not meet the
Congressional ‘‘small refinery’’
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definition.389 It should be noted that
because of the dynamics in the refining
industry (i.e., mergers and acquisitions),
the actual number of refiners that
ultimately qualify for small refiner
status under the RFS2 rule could be
different than this estimate.
4. Reporting, Recordkeeping, and
Compliance
Registration, reporting, and
recordkeeping are necessary to track
compliance with the RFS standards and
transactions involving RINs. As
discussed above in Sections II.J and
III.A, the compliance requirements
under the RFS2 rule are in many ways
similar to those required under the
RFS1 rule, with some modifications
(e.g., those to account for the new
requirements of EISA). New provisions
being finalized in today’s action include
the new EPA Moderated Transaction
System (EMTS) which allows for ‘‘realtime’’ reporting of RIN generation
transactions, and the ability for small
blenders to ‘‘delegate’’ their RINseparation responsibilities to the party
directly upstream. Please see Sections II
and III of this preamble for more
detailed information on these and other
registration, recordkeeping, reporting,
and compliance requirements of this
final rule.
5. Related Federal Rules
We are aware of a few other current
or proposed Federal rules that are
related to this rule. The primary related
Federal rules are: the first Renewable
Fuel Standard (RFS1) rule (72 FR 23900,
May 1, 2007), the RFS1 Technical
Amendment Direct Final Rulemaking
(73 FR 57248, October 2, 2008),390 and
Control of Emissions from New Marine
Compression-Ignition Engines at or
Above 30 Liters per Cylinder (proposed
rule: 74 FR 44442, August 28, 2009;
final rule: Signed December 22, 2009).
6. Steps Taken To Minimize the
Significant Economic Impact on Small
Entities
a. Significant Panel Findings
We convened a Small Business
Advocacy Review Panel (SBAR Panel,
389 EPAct defined a ‘‘small refinery’’ as a refinery
with a crude throughput of no more than 75,000
barrels of crude per day (at CAA section
211(o)(1)(K)). This definition is based on facility
size and is different than SBA’s small refiner
definition (which is based on company size). A
small refinery could be owned by a larger refiner
that exceeds SBA’s small entity standards. SBA’s
size standards were established to set apart those
businesses which are most likely to be at an
inherent economic disadvantage relative to larger
businesses.
390 This Direct Final Rule corrects minor
typographical errors and provides clarification on
existing provisions in the RFS1 regulations.
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14859
or the Panel), which considered many
regulatory options and flexibilities that
would help mitigate potential adverse
effects on small businesses as a result of
the increased volumes of renewable fuel
required by RFS2. During the SBREFA
Panel process, the Panel sought out and
received comments on the regulatory
options and flexibilities that were
presented to Small Entity
Representatives (SERs) and Panel
members. The major flexibilities and
hardship relief provisions that were
recommended by the Panel were
proposed and some are being finalized
today (for more information regarding
the Panel process, see the SBREFA Final
Panel Report, which is available in the
public docket for this rule).
b. Outreach With Small Entities (and the
Panel Process)
As required by section 609(b) of the
RFA as amended by SBREFA, EPA
conducted outreach to small entities
and convened a SBAR Panel prior to
proposing the RFS2 rule to obtain
advice and recommendations of
representatives of the small entities that
potentially would be subject to the
rule’s requirements.
As part of the SBAR Panel process, we
conducted outreach with
representatives from the various small
entities that would be affected by the
rule. We met with these SERs to discuss
the potential rulemaking approaches
and potential options to decrease the
impact of the rulemaking on their
industries. The Panel received written
comments from the SERs, specifically
on regulatory alternatives that could
help to minimize the rule’s impact on
small businesses. In general, SERs stated
that they believed that small refiners
would face challenges in meeting the
new standards. More specifically, they
voiced concerns with respect to the RIN
program itself, uncertainty (with the
required renewable fuel volumes, RIN
availability, and cost), and the desire for
a RIN system review.
The Panel agreed that EPA should
consider the issues raised by the SERs
(and discussions had by the Panel itself)
and that EPA should consider
comments on flexibility alternatives that
would help to mitigate any negative
impacts on small businesses.
Alternatives discussed throughout the
Panel process included those offered in
previous or current EPA rulemakings, as
well as alternatives suggested by SERs
and Panel members, and the Panel
recommended that all be considered in
the development of the rule.
A summary of the Panel’s
recommendations, what the Agency
proposed, and what is being finalized
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today is discussed below. A detailed
discussion of the regulatory alternatives
and hardship provisions discussed and
recommended by the Panel can be
found in the SBREFA Final Panel
Report, and a discussion of the
provisions being finalized today is
located in Section III.E of this preamble.
mstockstill on DSKH9S0YB1PROD with RULES2
c. Panel Recommendations, Proposed
Provisions, and Provisions Being
Finalized
The purpose of the Panel process is to
solicit information as well as suggested
flexibility options from the SERs, and
the Panel recommended that EPA
continue to do so during the
development of the RFS2 rule.
Recognizing the concerns about EPA’s
authority to provide extensions to a
subset of small refineries (i.e., those that
are owned by small refiners) different
from that provided to small refineries in
section 211(o)(9), the Panel
recommended that EPA continue to
evaluate this issue, and that EPA request
comment on its authority and the
appropriateness of providing extensions
beyond those authorized by section
211(o)(9) for small refineries operated
by a small refiner. The Panel also
recommended that EPA propose to
provide the same extension provision of
211(o)(9) to small refiners who do not
own small refineries as is provided for
small refiners who do own small
refineries.
i. Delay in Standards
The RFS1 program regulations
provide small refiners who operate
small refineries as well as small refiners
who do not operate small refineries with
a temporary exemption from the
standard through December 31, 2010.
Small refiner SERs suggested that an
additional temporary exemption for the
RFS2 program would be beneficial to
them in meeting the RFS2 standards.
EPA evaluated a temporary exemption
for at least some of the four required
RFS2 standards for small refiners. The
Panel recommended that EPA propose a
delay in the effective date of the
standards until 2014 for small entities,
to the maximum extent allowed by the
statute. However, the Panel recognized
that EPA has serious concerns about its
authority to provide an extension of the
temporary exemption for small
refineries that is different from that
provided in CAA section 211(o)(9),
since Congress specifically addressed an
extension for small refineries in that
provision.
The Panel did recommend that EPA
propose other avenues through which
small refineries and small refiners could
receive extensions of the temporary
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exemption. These avenues were a
possible extension of the temporary
exemption for an additional two years
following a study of small refineries by
the Department of Energy (DOE) and
provisions for case-by-case economic
hardship relief.
We proposed and took comment on
the recommendations of the Panel and
SERs above. As discussed in section
III.E of this preamble, based on our
analysis and further review of the
provisions and the DOE Small Refinery
Study, we have decided to finalize
continuing the small refinery and small
refiner exemption finalized in RFS1
through December 31, 2010 for all small
refiners.
ii. Phase-in
Small refiner SERs’ suggested that a
phase-in of the obligations applicable to
small refiners would be beneficial for
compliance, such that small refiners
would comply by gradually meeting the
standards on an incremental basis over
a period of time, after which point they
would comply fully with the RFS2
standards, EPA has serious concerns
about its authority to allow for such a
phase-in of the standards. CAA section
211(o)(3)(B) states that the renewable
fuel obligation shall ‘‘consist of a single
applicable percentage that applies to all
categories of persons specified’’ as
obligated parties. This kind of phase-in
approach would result in different
applicable percentages being applied to
different obligated parties. Further, as
discussed above, such a phase-in
approach would provide more relief to
small refineries operated by small
refiners than that provided under the
small refinery provision. Thus the Panel
recommended that EPA should invite
comment on a phase-in, but not propose
such a provision.
We took comment on this provision,
however we are not finalizing this
provision, as we continue to believe that
a phase-in of the applicable standards
would in fact result in different
standards for small refiners.
iii. RIN-Related Flexibilities
The small refiner SERs requested that
the proposed rule contain provisions for
small refiners related to the RIN system,
such as flexibilities in the RIN rollover
cap percentage and allowing all small
refiners to use RINs interchangeably. In
the RFS1 program, EPA allows for 20%
of a previous year’s RINs to be ‘‘rolled
over’’ and used for compliance in the
following year. We noted during the
Panel process that a provision to allow
for flexibilities in the rollover cap could
include a higher RIN rollover cap for
small refiners for some period of time or
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for at least some of the four standards.
Further, we noted our belief that since
the concept of a rollover cap was not
mandated by section 211(o), EPA
believes that there may be an
opportunity to provide appropriate
flexibility in this area to small refiners
under the RFS2 program but only if it
is determined in the DOE small refinery
study that there is a disproportionate
effect warranting relief. The Panel
recommended that EPA request
comment on increasing the RIN rollover
cap percentage for small refiners, and
further that EPA should request
comment on an appropriate level of that
percentage. The Panel also
recommended that EPA invite comment
on allowing RINs to be used
interchangeably for small refiners, but
not propose this concept because under
this approach small refiners would
arguably be subject to a different
applicable percentage than other
obligated parties.
We proposed a change to the RIN
rollover cap, and took comment on the
concept of allowing RINs to be used
interchangeably for small refiners only.
As noted above in section III of this
preamble, we are not finalizing RINrelated provisions in today’s action. As
highlighted in the NPRM, we continue
to believe that the concept of
interchangeable RINs for small refiners
only fails to require the four different
standards mandated by Congress (e.g.,
conventional biofuel could not be used
instead of cellulosic biofuel or biomassbased diesel). Further, given the
findings from the DOE study, if small
refineries and small refiners do not face
disproportionate economic hardship,
then we do not believe that we have the
basis for granting such additional relief
beyond what Congress already
provided. Thus, small refiners will be
held to the same RIN rollover cap as
other obligated parties.
iv. Program Review
With regard to the suggested program
review, EPA raised the concern that this
could lead to some redundancy since
EPA is required to publish a notice of
the applicable RFS standards in the
Federal Register annually, and that this
annual process will inevitably include
an evaluation of the projected
availability of renewable fuels.
Nevertheless, the SBA and OMB Panel
members stated that they believe that a
program review could be helpful to
small entities in providing them some
insight to the RFS program’s progress
and alleviate some uncertainty
regarding the RIN system. As EPA will
be publishing a Federal Register notice
annually, the Panel recommended that
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EPA include an update of RIN system
progress (e.g., RIN trading, RIN
availability, etc.) in this notice and that
the results of this evaluation be
considered in any request for case-bycase hardship relief.
We did propose that in the annual
notice of the RFS standards that EPA
must publish in the Federal Register,
we would also include information to
help inform industry about the RIN
system. We also proposed that
information from the annual Production
Outlook Reports that producers and
importers must submit to EPA, as well
as information required in EMTS
reports, could be used in the annual
Federal Register notice to update RIN
system progress. However, during the
development of the final rule, it became
evident that there could be instances
where we would want to report out RIN
system information on a more frequent
basis than just once a year. Thus we are
finalizing that we will report out
elements of RIN system progress; but
such information will be reported via
other means (e.g., the RFS Web site
(www.epa.gov/otaq/renewablefuels/
index.htm), EMTS homepage, etc.).
Additionally, we will also publish
annual summaries of the Production
Outlook Reports.
v. Extensions of the Temporary
Exemption Based on a Study of Small
Refinery Impacts
The Panel recommended that EPA
propose in the RFS2 program the
provision at 40 CFR 80.1141(e)
extending the RFS1 temporary
exemption for at least two years for any
small refinery that DOE determines
would be subject to disproportionate
economic hardship if required to
comply with the RFS2 requirements.
Section 211(o)(9)(A)(ii) required that
by December 31, 2008, DOE was to
perform a study of the economic
impacts of the RFS requirements on
small refineries to assess and determine
whether the RFS requirements would
impose a disproportionate economic
hardship on small refineries, and submit
this study to EPA. Section 211(o)(9) also
provided that small refineries found to
be in a disproportionate economic
hardship situation would receive an
extension of the temporary exemption
for at least two years.
The Panel also recommended that
EPA work with DOE in the development
of the small refinery study, specifically
to communicate the comments that
SERs raised during the Panel process.
We did not propose and are not
finalizing this hardship provision given
the outcome of the DOE small refinery
study. In the small refinery study,
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14:37 Mar 25, 2010
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‘‘EPACT 2005 Section 1501 Small
Refineries Exemption Study’’, DOE’s
finding was that there is no reason to
believe that any small refinery would be
disproportionately harmed by inclusion
in the proposed RFS2 program. This
finding was based on the fact that there
appeared to be no shortage of RINs
available under RFS1, and EISA has
provided flexibility through waiver
authority (per section 211(o)(7)).
Further, in the case of the cellulosic
biofuel standard, cellulosic biofuel
allowances can be provided from EPA at
prices established in EISA (see
regulation section 80.1455). DOE thus
determined that no small refinery would
be subject to disproportionate economic
hardship under the proposed RFS2
program, and that the small refinery
exemption should not be extended
beyond December 31, 2010. DOE noted
in the study that, if circumstances were
to change and/or the RIN market were
to become non-competitive or illiquid,
individual small refineries have the
ability to petition EPA for an extension
of their small refinery exemption (as
stated in regulation section 80.1441).
As discussed in section III.E of this
preamble, since the only small refinery
study available for us to use as a basis
for whether or not to grant small
refineries an automatic two-year
extension of the exemption is the study
that was performed in 2008, we had to
use this study to develop this final rule.
EPAct directs EPA to consider the DOE
small refinery study in assessing the
impacts to small refineries, and we
interpret this to mean that any extension
past December 31, 2010 has to be tied
to the DOE Study. Further, since that
study found that there was no
disproportionate economic impact on
small refineries, we cannot grant an
automatic additional extension for small
refineries or small refiners (except on a
case-by-case hardship basis). However,
this does not preclude small refiners
from applying for case-by-case
extensions of the small refiner
temporary exemption.
Note that if the revised DOE study
(see Section III.E.3 of this preamble)
finds that there is a disproportionate
economic impact, we will revisit the
extension of the temporary exemption at
that point.
vi. Extensions of the Temporary
Exemption Based on Disproportionate
Economic Hardship
While SERs did not specifically
comment on the concept of hardship
provisions for the upcoming proposal,
the Panel noted that under CAA section
211(o)(9)(B) small refineries may
petition EPA for case-by-case extensions
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of the small refinery temporary
exemption on the basis of
disproportionate economic hardship.
Refiners may petition EPA for this caseby-case hardship relief at any time.
The Panel recommended that EPA
propose in the RFS2 program a case-bycase hardship provision for small
refineries similar to that provided at 40
CFR 80.1141(e)(1). The Panel also
recommended that EPA propose a caseby-case hardship provision for small
refiners that do not operate small
refineries that is comparable to that
provided for small refineries under
section 211(o)(9)(B), using its discretion
under CAA section 211(o)(3)(B). This
would apply if EPA does not adopt an
automatic extension for small refiners,
and would allow those small refiners
that do not operate small refineries to
apply for the same kind of extension as
a small refinery. The Panel
recommended that EPA take into
consideration the results of the annual
update of RIN system progress and the
DOE small refinery study in assessing
such hardship applications.
We believe that these avenues of relief
can and should be fully explored by
small refiners who are covered by the
small refinery provision. In addition, we
believe that it is appropriate to allow
petitions to EPA for an extension of the
temporary exemption based on
disproportionate economic hardship for
those small refiners who are not covered
by the small refinery provision (again,
per our discretion under section
211(o)(3)(B)); this would ensure that all
small refiners have the same relief
available to them as small refineries do.
Thus, we are finalizing a hardship
provision for small refineries in the
RFS2 program, that any small refinery
may apply for a case-by-case hardship at
any time on the basis of
disproportionate economic hardship per
CAA section 211(o)(9)(B). We are also
finalizing a case-by-case hardship
provision for those small refiners that
do not operate small refineries (section
80.1442(h)) using our discretion under
CAA section 211(o)(3)(B). This
provision will allow those small refiners
that do not operate small refineries to
apply for the same kind of extension as
a small refinery. In evaluating
applications for this hardship provision
EPA will take into consideration
information gathered from annual
reports and RIN system progress
updates, as recommended by the SBAR
Panel.
7. Conclusions
Pursuant to section 603 of the RFA,
EPA prepared an initial regulatory
flexibility analysis (IRFA) for the
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proposed rule and convened a Small
Business Advocacy Review Panel to
obtain advice and recommendations of
representatives of the regulated small
entities (see 74 FR 24904, May 26,
2009). A detailed discussion of the
Panel’s advice and recommendations is
found in the Panel Report, located in the
rulemaking docket. A summary of the
Panel’s recommendations is presented
at 74 FR 25106 (May 26, 2009).
As required by section 604 of the
RFA, we also prepared a final regulatory
flexibility analysis (FRFA) for today’s
final rule. The FRFA addresses the
issues raised by public comments on the
IRFA, which was part of the proposal of
this rule. The FRFA is available for
review in the docket and is summarized
above.
Many aspects of the RFS2 rule, such
as the required amounts of annual
renewable fuel volumes, are specified in
EPAct and EISA. As discussed above,
small refiners and small refineries
receive an exemption from the RFS
standards until January 1, 2011 and are
not required to make expensive capital
improvements like those required under
other EPA fuels programs. Further, the
DOE small refinery study did not find
that there was a disproportionate
economic impact on small refineries as
a whole as a result of this rule (and the
majority of the refiners that meet the
definition of a small refiner, also own
refineries that meet the Congressional
small refinery definition).
A cost-to-sales ratio test, a ratio of the
estimated annualized compliance costs
to the value of sales per company, was
performed for gasoline and/or diesel
small refiners. From this cost-to-sales
test, it was estimated that all small
entities have compliance costs that are
less than one percent of their sales (a
complete discussion of the costs to
refiners as a result of the increased
volumes of renewable fuel required by
EISA is located in Section VII of this
preamble).
As required by section 212 of
SBREFA, EPA also is preparing a Small
Entity Compliance Guide to help small
entities comply with this rule. This
guide will be available on the RFS Web
site (www.epa.gov/otaq/renewablefuels/
index.htm), and will be available 60
days after the rule is finalized.
D. Unfunded Mandates Reform Act
Title II of the Unfunded Mandates
Reform Act of 1995 (UMRA), 2 U.S.C.
1531–1538, requires Federal agencies,
unless otherwise prohibited by law, to
assess the effects of their regulatory
actions on State, local, and tribal
governments and the private sector.
Under section 202 of the UMRA, EPA
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generally must prepare a written
statement, including a cost-benefit
analysis, for proposed and final rules
with ‘‘Federal mandates’’ that may result
in expenditures to State, local, and
tribal governments, in the aggregate, or
to the private sector, of $100 million or
more in any one year.
This rule 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. EPA
has determined that this rule contains a
Federal mandate that may result in
expenditures of $100 million or more
for the private sector in any one year,
but the rule imposes no enforceable
duty on any State, local or tribal
governments. Nonetheless, EPA believes
that today’s action represents the least
costly, most cost-effective approach to
achieve the statutory requirements of
the rule. The costs and benefits
associated with the increased use of
renewable fuels are discussed above and
in the Regulatory Impact Analysis, as
required by the UMRA.
E. Executive Order 13132: Federalism
Executive Order 13132, entitled
‘‘Federalism’’ (64 FR 43255, August 10,
1999), requires EPA to develop an
accountable process to ensure
‘‘meaningful and timely input by State
and local officials in the development of
regulatory policies that have federalism
implications.’’ ‘‘Policies that have
federalism implications’’ is defined in
the Executive Order to include
regulations that 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.’’
This final rule does not have
federalism implications. It 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, as specified in
Executive Order 13132. Thus, Executive
Order 13132 does not apply to this rule.
In the spirit of Executive Order 13132,
and consistent with EPA policy to
promote communications between EPA
and State and local governments, EPA
specifically solicited comment on the
proposed rule 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
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Order 13175 (65 FR 67249, November 9,
2000). This rule will be implemented at
the Federal level and impose
compliance costs only on transportation
fuel refiners, blenders, marketers,
distributors, importers, and exporters.
Tribal governments would be affected
only to the extent they purchase and use
regulated fuels. Thus, Executive Order
13175 does not apply to this action. EPA
specifically solicited comment on the
proposed rule from tribal officials.
G. Executive Order 13045: Protection of
Children From Environmental Health
Risks and Safety Risks
EPA interprets EO 13045 (62 FR
19885, April 23, 1997) as applying only
to those regulatory actions that concern
health or safety risks, such that the
analysis required under section 5–501 of
the EO has the potential to influence the
regulation. This action is not subject to
EO 13045 because it does not establish
an environmental standard intended to
mitigate health or safety risks and
because it implements specific
standards established by Congress in
statutes.
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
This rule is not subject to Executive
Order 13211 (66 FR 28355 (May 22,
2001)), because it is not likely to have
a significant adverse effect on the
supply, distribution, or use of energy. In
fact, this rule has a positive effect on
energy supply and use. By promoting
the diversification of transportation
fuels, the increased use of renewable
fuels enhances energy supply.
Therefore, we have concluded that this
rule is not likely to have any adverse
energy effects. Our energy effects
analysis is discussed in Section VIII.B.
I. National Technology Transfer
Advancement Act
Section 12(d) of the National
Technology Transfer and Advancement
Act of 1995 (‘‘NTTAA’’), Public Law
104–113, 12(d) (15 U.S.C. 272 note)
directs EPA to use voluntary consensus
standards in its regulatory activities
unless to do so would be inconsistent
with applicable law or otherwise
impractical. Voluntary consensus
standards are technical standards (e.g.,
materials specifications, test methods,
sampling procedures, and business
practices) that are developed or adopted
by voluntary consensus standards
bodies. NTTAA directs EPA to provide
Congress, through OMB, explanations
when the Agency decides not to use
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available and applicable voluntary
consensus standards.
This rulemaking changes the
Renewable Fuel Standard (RFS)
program at Title 40 of the Code of
Federal Regulations, Subpart K which
already contains voluntary consensus
standard ASTM D6751–06a ‘‘Standard
Specification for Biodiesel Fuel Blend
Stock (B100) for Middle Distillate
Fuels’’. This rulemaking incorporates
the most recent version of that standard
(ASTM D–6751–08) and adds several
more voluntary consensus standards:
ASTM D–1250–08, ‘‘Standard Guide for
Use of the Petroleum Measurement
Tables’’; ASTM D–4442, ‘‘Standard Test
Methods for Direct Moisture Content
Measurement of Wood and Wood-Base
Materials’’; ASTM D–4444, ‘‘Standard
Test Method for Laboratory
Standardization and Calibration of
Hand-Held Moisture Meters’’; ASTM
D–6866–08 ‘‘Standard Test Methods for
Determining the Biobased Content of
Solid, Liquid, and Gaseous Samples
Using Radiocarbon Analysis’’; ASTM
E–711, ‘‘Standard Test Method for Gross
Calorific Value of Refuse-Derived Fuel
by the Bomb Calorimeter’’; and ASTM
E–870, ‘‘Standard Test Methods for
Analysis of Wood Fuels’’. Information
about these standards may be obtained
through the ASTM Web site (https://
www.astm.org) or by calling ASTM at
(610) 832–9585.
This rulemaking does not change
these voluntary consensus standards,
and does not involve any other
technical standards. Therefore, EPA is
not considering the use of any voluntary
consensus standards other than those
described above.
J. Executive Order 12898: Federal
Actions To Address Environmental
Justice in Minority Populations and
Low-Income Populations
Executive Order (EO) 12898 (59 FR
7629 (Feb. 16, 1994)) establishes federal
executive policy on environmental
justice. Its main provision 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 and low-income
populations in the United States.
EPA lacks the discretionary authority
to address environmental justice in this
rulemaking since the Agency is
implementing specific standards
established by Congress in statutes.
Although EPA lacks authority to modify
today’s regulatory action on the basis of
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environmental justice considerations,
EPA nevertheless determined that this
rule does not have a disproportionately
high and adverse human health or
environmental impact on minority or
low-income populations.
K. Congressional Review Act
The Congressional Review Act, 5
U.S.C. 801 et seq., as added by the Small
Business Regulatory Enforcement
Fairness Act of 1996, generally provides
that before a rule may take effect, the
agency promulgating the rule must
submit a rule report, which includes a
copy of the rule, to each House of the
Congress and to the Comptroller General
of the United States. EPA will submit a
report containing this rule and other
required information to the U.S. Senate,
the U.S. House of Representatives, and
the Comptroller General of the United
States prior to publication of the rule in
the Federal Register. A Major rule
cannot take effect until 60 days after it
is published in the Federal Register.
This action is a ‘‘major rule’’ as defined
by 5 U.S.C. 804(2). This rule will be
effective July 1, 2010.
XII. Statutory Provisions and Legal
Authority
Statutory authority for the rule
finalized today can be found in section
211 of the Clean Air Act, 42 U.S.C.
7545. Additional support for the
procedural and compliance related
aspects of today’s rule, including the
recordkeeping requirements, come from
Sections 114, 208, and 301(a) of the
Clean Air Act, 42 U.S.C. 7414, 7542, and
7601(a).
List of Subjects in 40 CFR Part 80
Environmental protection,
Administrative practice and procedure,
Agriculture, Air pollution control,
Confidential business information,
Diesel Fuel, Energy, Forest and Forest
Products, Fuel additives, Gasoline,
Imports, Incorporation by reference,
Labeling, Motor vehicle pollution,
Penalties, Petroleum, Reporting and
recordkeeping requirements.
Dated: February 3, 2010.
Lisa P. Jackson,
Administrator.
For the reasons set forth in the
preamble, 40 CFR part 80 is amended as
follows:
■
PART 80—REGULATION OF FUELS
AND FUEL ADDITIVES
1. The authority citation for part 80
continues to read as follows:
■
Authority: 42 U.S.C. 7414, 7542, 7545, and
7601(a).
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2. A new Subpart M is added to part
80 to read as follows:
■
Subpart M—Renewable Fuel Standard
Sec.
80.1400 Applicability.
80.1401 Definitions.
80.1402 [Reserved]
80.1403 Which fuels are not subject to the
20% GHG thresholds?
80.1404 [Reserved]
80.1405 What are the Renewable Fuel
Standards?
80.1406 Who is an obligated party under
the RFS program?
80.1407 How are the Renewable Volume
Obligations calculated?
80.1408–80.1414 [Reserved]
80.1415 How are equivalence values
assigned to renewable fuel?
80.1416 Petition process for evaluation of
new renewable fuels and pathways.
80.1417–80.1424 [Reserved]
80.1425 Renewable Identification Numbers
(RINs).
80.1426 How are RINs generated and
assigned to batches of renewable fuel by
renewable fuel producers or importers?
80.1427 How are RINs used to demonstrate
compliance?
80.1428 General requirements for RIN
distribution.
80.1429 Requirements for separating RINs
from volumes of renewable fuel.
80.1430 Requirements for exporters of
renewable fuels.
80.1431 Treatment of invalid RINs.
80.1432 Reported spillage or disposal of
renewable fuel.
80.1433–80.1439 [Reserved]
80.1440 What are the provisions for
blenders who handle and blend less than
125,000 gallons of renewable fuel per
year?
80.1441 Small refinery exemption.
80.1442 What are the provisions for small
refiners under the RFS program?
80.1443 What are the opt-in provisions for
noncontiguous states and territories?
80.1444–80.1448 [Reserved]
80.1449 What are the Production Outlook
Report requirements?
80.1450 What are the registration
requirements under the RFS program?
80.1451 What are the reporting
requirements under the RFS program?
80.1452 What are the requirements related
to the EPA Moderated Transaction
System (EMTS)?
80.1453 What are the product transfer
document (PTD) requirements for the
RFS program?
80.1454 What are the recordkeeping
requirements under the RFS program?
80.1455 What are the small volume
provisions for renewable fuel production
facilities and importers?
80.1456 What are the provisions for
cellulosic biofuel waiver credits?
80.1457–80.1459 [Reserved]
80.1460 What acts are prohibited under the
RFS program?
80.1461 Who is liable for violations under
the RFS program?
80.1462 [Reserved]
80.1463 What penalties apply under the
RFS program?
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80.1464 What are the attest engagement
requirements under the RFS program?
80.1465 What are the additional
requirements under this subpart for
foreign small refiners, foreign small
refineries, and importers of RFS–
FRFUEL?
80.1466 What are the additional
requirements under this subpart for RINgenerating foreign producers and
importers of renewable fuels for which
RINs have been generated by the foreign
producer?
80.1467 What are the additional
requirements under this subpart for a
foreign RIN owner?
80.1468 Incorporation by reference.
Subpart M—Renewable Fuel Standard
§ 80.1400
Applicability.
The provisions of this Subpart M shall
apply for all renewable fuel produced
on or after July 1, 2010, for all RINs
generated on or after July 1, 2010, and
for all renewable volume obligations
and compliance periods starting with
January 1, 2010. Except as provided
otherwise in this Subpart M, the
provisions of Subpart K of this Part 80
shall not apply for such renewable fuel,
RINs, renewable volume obligations, or
compliance periods.
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§ 80.1401
Definitions.
The definitions of § 80.2 and of this
section apply for the purposes of this
Subpart M. The definitions of this
section do not apply to other subparts
unless otherwise noted. Note that many
terms defined here are common terms
that have specific meanings under this
subpart M. The definitions follow:
Advanced biofuel means renewable
fuel, other than ethanol derived from
cornstarch, has lifecycle greenhouse gas
emissions that are at least 50 percent
less than baseline lifecycle greenhouse
gas emissions.
Annual cover crop means an annual
crop, planted as a rotation between
primary planted crops, or between trees
and vines in orchards and vineyards,
typically to protect soil from erosion
and to improve the soil between periods
of regular crops.
Areas at risk of wildfire are those
areas in the ‘‘wildland-urban interface’’,
where humans and their development
meet or intermix with wildland fuel.
Note that, for guidance, the SILVIS
laboratory at the University of
Wisconsin maintains a Web site that
provides a detailed map of areas
meeting this criteria at: https://www.
silvis.forest.wisc.edu/projects/US_WUI_
2000.asp. The SILVIS laboratory is
located at 1630 Linden Drive, Madison,
Wisconsin 53706 and can be contacted
at (608) 263–4349.
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Baseline lifecycle greenhouse gas
emissions means the average lifecycle
greenhouse gas emissions for gasoline or
diesel (whichever is being replaced by
the renewable fuel) sold or distributed
as transportation fuel in 2005.
Biodiesel means a mono-alkyl ester
that meets ASTM D 6751 (incorporated
by reference, see § 80.1468).
Biogas means a mixture of
hydrocarbons that is a gas at 60 degrees
Fahrenheit and 1 atmosphere of
pressure that is produced through the
conversion of organic matter. Biogas
that is used to generate RINs must be
renewable fuel. Biogas includes
propane, and landfill gas, manure
digester gas, and sewage waste
treatment gas.
Biomass-based diesel means a
renewable fuel that has lifecycle
greenhouse gas emissions that are at
least 50 percent less than baseline
lifecycle greenhouse gas emissions and
meets all of the requirements of
paragraph (1) of this definition:
(1)(i) Is a transportation fuel,
transportation fuel additive, heating oil,
or jet fuel.
(ii) Meets the definition of either
biodiesel or non-ester renewable diesel.
(iii) Is registered as a motor vehicle
fuel or fuel additive under 40 CFR part
79, if the fuel or fuel additive is
intended for use in a motor vehicle.
(2) Renewable fuel that is coprocessed with petroleum is not
biomass-based diesel.
Cellulosic biofuel means renewable
fuel derived from any cellulose, hemicellulose, or lignin that has lifecycle
greenhouse gas emissions that are at
least 60 percent less than the baseline
lifecycle greenhouse gas emissions.
Cellulosic diesel is any renewable fuel
which meets both the definitions of
cellulosic biofuel and biomass-based
diesel, as defined in this section
80.1401. Cellulosic diesel includes
heating oil and jet fuel made from
cellulosic feedstocks.
Combined heat and power (CHP), also
known as cogeneration, refers to
industrial processes in which byproduct
heat that would otherwise be released
into the environment is used for process
heating and/or electricity production.
Co-processed means that renewable
biomass was simultaneously processed
with fossil fuels or other non-renewable
feedstock in the same unit or units to
produce a fuel that is partially derived
from renewable biomass.
Corn oil extraction means the
recovery of corn oil from the thin
stillage and/or the DGS produced by a
dry mill corn ethanol plant, most often
by mechanical separation.
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Crop residue is the biomass left over
from the harvesting or processing of
planted crops from existing agricultural
land and any biomass removed from
existing agricultural land that facilitates
crop management (including biomass
removed from such lands in relation to
invasive species control or fire
management), whether or not the
biomass includes any portion of a crop
or crop plant.
Cropland is land used for production
of crops for harvest and includes
cultivated cropland, such as for row
crops or close-grown crops, and noncultivated cropland, such as for
horticultural or aquatic crops.
Diesel, for the purposes of this
subpart, refers to any and all of the
products specified at § 80.1407(e).
Ecologically sensitive forestland
means forestland that meets either of the
following criteria:
(1) An ecological community with a
global or state ranking of critically
imperiled, imperiled or rare pursuant to
a State Natural Heritage Program. For
examples of such ecological
communities, see ‘‘Listing of Forest
Ecological Communities Pursuant to 40
CFR 80.1401; S1–S3 communities,’’
which is number EPA–HQ–OAR–2005–
0161–1034.1 in the public docket, and
‘‘Listing of Forest Ecological
Communities Pursuant to 40 CFR
80.1401; G1–G2 communities,’’ which is
number EPA–HQ–OAR–2005–0161–
2906.1 in the public docket. This
material is available for inspection at
the EPA Docket Center, EPA/DC, EPA
West, Room 3334, 1301 Constitution
Ave., NW., Washington DC. The
telephone number for the Air Docket is
(202) 566–1742.
(2) Old growth or late successional,
characterized by trees at least 200 years
in age.
EPA Moderated Transaction System,
or EMTS, means a closed, EPA
moderated system that provides a
mechanism for screening and tracking
Renewable Identification Numbers
(RINs) as per § 80.1452.
Existing agricultural land is cropland,
pastureland, and land enrolled in the
Conservation Reserve Program
(administered by the U.S. Department of
Agriculture’s Farm Service Agency) that
was cleared or cultivated prior to
December 19, 2007, and that, on
December 19, 2007, was:
(1) Nonforested; and
(2) Actively managed as agricultural
land or fallow, as evidenced by records
which must be traceable to the land in
question, which must include one of the
following:
(i) Records of sales of planted crops,
crop residue, or livestock, or records of
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purchases for land treatments such as
fertilizer, weed control, or seeding.
(ii) A written management plan for
agricultural purposes.
(iii) Documented participation in an
agricultural management program
administered by a Federal, state, or local
government agency.
(iv) Documented management in
accordance with a certification program
for agricultural products.
Exporter of renewable fuel means:
(1) A person that transfers any
renewable fuel to a location outside the
contiguous 48 states and Hawaii; and
(2) A person that transfers any
renewable fuel from a location in the
contiguous 48 states or Hawaii to Alaska
or a United States territory, unless that
state or territory has received an
approval from the Administrator to optin to the renewable fuel program
pursuant to § 80.1443.
Facility means all of the activities and
equipment associated with the
production of renewable fuel starting
from the point of delivery of feedstock
material to the point of final storage of
the end product, which are located on
one property, and are under the control
of the same person (or persons under
common control).
Fallow means cropland, pastureland,
or land enrolled in the Conservation
Reserve Program (administered by the
U.S. Department of Agriculture’s Farm
Service Agency) that is intentionally left
idle to regenerate for future agricultural
purposes with no seeding or planting,
harvesting, mowing, or treatment during
the fallow period.
Forestland is generally undeveloped
land covering a minimum area of 1 acre
upon which the primary vegetative
species are trees, including land that
formerly had such tree cover and that
will be regenerated and tree plantations.
Tree covered areas in intensive
agricultural crop production settings,
such as fruit orchards or tree-covered
areas in urban settings such as city
parks, are not considered forestland.
Fractionation of feedstocks means a
process whereby seeds are divided in
various components and oils are
removed prior to fermentation for the
production of ethanol.
Fuel for use in an ocean-going vessel
means, for this subpart only:
(1) Any marine residual fuel (whether
burned in ocean waters, Great Lakes, or
other internal waters);
(2) Emission Control Area (ECA)
marine fuel, pursuant to §§ 80.2(ttt) and
80.510(k) (whether burned in ocean
waters, Great Lakes, or other internal
waters); and
(3) Any other fuel intended for use
only in ocean-going vessels.
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14:37 Mar 25, 2010
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Gasoline, for the purposes of this
subpart, refers to any and all of the
products specified at § 80.1407(c).
Heating oil has the meaning given in
§ 80.2(ccc).
Importers. For the purposes of this
subpart, an importer of transportation
fuel or renewable fuel is any U.S.
domestic person who:
(1) Brings transportation fuel or
renewable fuel into the 48 contiguous
states of the United States or Hawaii,
from a foreign country or from an area
that has not opted in to the program
requirements of this subpart pursuant to
§ 80.1443; or
(2) Brings transportation fuel or
renewable fuel into an area that has
opted in to the program requirements of
this subpart pursuant to § 80.1443 from
a foreign country or from an area that
has not opted in to the program
requirements of this subpart.
Motor vehicle has the meaning given
in Section 216(2) of the Clean Air Act
(42 U.S.C. 7550(2)).
Naphtha means a renewable fuel or
fuel blending component falling within
the boiling range of gasoline.
Neat renewable fuel is a renewable
fuel to which 1% or less of gasoline (as
defined in this section) or diesel fuel
has been added.
Non-ester renewable diesel means
renewable fuel which is all of the
following:
(1) Registered as a motor vehicle fuel
or fuel additive under 40 CFR Part 79,
if the fuel or fuel additive is intended
for use in a motor vehicle.
(2) Not a mono-alkyl ester.
Nonforested land means land that is
not forestland.
Nonroad vehicle has the meaning
given in Section 216(11) of the Clean
Air Act (42 U.S.C. 7550(11)).
Pastureland is land managed for the
production of indigenous or introduced
forage plants for livestock grazing or hay
production, and to prevent succession
to other plant types.
Planted crops are all annual or
perennial agricultural crops from
existing agricultural land that may be
used as feedstocks for renewable fuel,
such as grains, oilseeds, sugarcane,
switchgrass, prairie grass, duckweed,
and other species (but not including
algae species or planted trees),
providing that they were intentionally
applied by humans to the ground, a
growth medium, a pond or tank, either
by direct application as seed or plant, or
through intentional natural seeding or
vegetative propagation by mature plants
introduced or left undisturbed for that
purpose.
Planted trees are trees harvested from
a tree plantation.
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14865
Pre-commercial thinnings are trees,
including unhealthy or diseased trees,
primarily removed to reduce stocking to
concentrate growth on more desirable,
healthy trees, or other vegetative
material that is removed to promote tree
growth.
Renewable biomass means each of the
following (including any incidental, de
minimis contaminants that are
impractical to remove and are related to
customary feedstock production and
transport):
(1) Planted crops and crop residue
harvested from existing agricultural
land cleared or cultivated prior to
December 19, 2007 and that was
nonforested and either actively managed
or fallow on December 19, 2007.
(2) Planted trees and tree residue from
a tree plantation located on non-federal
land (including land belonging to an
Indian tribe or an Indian individual that
is held in trust by the U.S. or subject to
a restriction against alienation imposed
by the U.S.) that was cleared at any time
prior to December 19, 2007 and actively
managed on December 19, 2007.
(3) Animal waste material and animal
byproducts.
(4) Slash and pre-commercial
thinnings from non-federal forestland
(including forestland belonging to an
Indian tribe or an Indian individual,
that are held in trust by the United
States or subject to a restriction against
alienation imposed by the United
States) that is not ecologically sensitive
forestland.
(5) Biomass (organic matter that is
available on a renewable or recurring
basis) obtained from the immediate
vicinity of buildings and other areas
regularly occupied by people, or of
public infrastructure, in an area at risk
of wildfire.
(6) Algae.
(7) Separated yard waste or food
waste, including recycled cooking and
trap grease, and materials described in
§ 80.1426(f)(5)(i).
Renewable fuel means a fuel which
meets all of the requirements of
paragraph (1) of this definition:
(1)(i) Fuel that is produced from
renewable biomass.
(ii) Fuel that is used to replace or
reduce the quantity of fossil fuel present
in a transportation fuel, heating oil, or
jet fuel.
(iii) Has lifecycle greenhouse gas
emissions that are at least 20 percent
less than baseline lifecycle greenhouse
gas emissions, unless the fuel is exempt
from this requirement pursuant to
§ 80.1403.
(2) Ethanol covered by this definition
shall be denatured as required and
defined in 27 CFR parts 19 through 21.
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Any volume of denaturant added to the
undenatured ethanol by a producer or
importer in excess of 2 volume percent
shall not be included in the volume of
ethanol for purposes of determining
compliance with the requirements
under this subpart.
Renewable Identification Number
(RIN), is a unique number generated to
represent a volume of renewable fuel
pursuant to §§ 80.1425 and 80.1426.
(1) Gallon-RIN is a RIN that represents
an individual gallon of renewable fuel;
and
(2) Batch-RIN is a RIN that represents
multiple gallon-RINs.
Slash is the residue, including
treetops, branches, and bark, left on the
ground after logging or accumulating as
a result of a storm, fire, delimbing, or
other similar disturbance.
Small refinery, for this subpart only,
means a refinery for which the average
aggregate daily crude oil throughput for
calendar year 2006 (as determined by
dividing the aggregate throughput for
the calendar year by the number of days
in the calendar year) does not exceed
75,000 barrels.
Transportation fuel means fuel for use
in motor vehicles, motor vehicle
engines, nonroad vehicles, or nonroad
engines (except for ocean-going vessels).
Tree plantation is a stand of no less
than 1 acre composed primarily of trees
established by hand- or machineplanting of a seed or sapling, or by
coppice growth from the stump or root
of a tree that was hand- or machineplanted. Tree plantations must have
been cleared prior to December 19, 2007
and must have been actively managed
on December 19, 2007, as evidenced by
records which must be traceable to the
land in question, which must include:
(1) Sales records for planted trees or
tree residue together with other written
documentation connecting the land in
question to these purchases;
(2) Purchasing records for seeds,
seedlings, or other nursery stock
together with other written
documentation connecting the land in
question to these purchases;
(3) A written management plan for
silvicultural purposes;
(4) Documentation of participation in
a silvicultural program sponsored by a
Federal, state or local government
agency;
(5) Documentation of land
management in accordance with an
agricultural or silvicultural product
certification program;
(6) An agreement for land
management consultation with a
professional forester that identifies the
land in question; or
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(7) Evidence of the existence and
ongoing maintenance of a road system
or other physical infrastructure
designed and maintained for logging
use, together with one of the abovementioned documents.
Tree residue is slash and any woody
residue generated during the processing
of planted trees from tree plantations for
use in lumber, paper, furniture or other
applications, provided that such woody
residue is not mixed with similar
residue from trees that do not originate
in tree plantations.
Yard waste is leaves, sticks, pine
needles, grass and hedge clippings, and
similar waste from residential,
commercial, or industrial areas (but not
from forestlands or tree plantations).
§ 80.1402
[Reserved]
§ 80.1403 Which fuels are not subject to
the 20% GHG thresholds?
(a) For purposes of this section, the
following definitions apply:
(1) Baseline volume means the
permitted capacity or, if permitted
capacity cannot be determined, the
actual peak capacity of a specific
renewable fuel production facility on a
calendar year basis.
(2) Permitted capacity means 105% of
the maximum permissible volume
output of renewable fuel that is allowed
under operating conditions specified in
the most restrictive of all applicable
preconstruction, construction and
operating permits issued by regulatory
authorities (including local, regional,
state or a foreign equivalent of a state,
and federal permits, or permits issued
by foreign governmental agencies) that
govern the construction and/or
operation of the renewable fuel facility,
reported as:
(i) Annual volume output on a
calendar year basis; or
(ii) If the permit specifies maximum
rated volume output on an hourly basis,
then multiplying the hourly output by
8,322 hours per year to obtain the
annual output.
(3) Actual peak capacity means 105%
of the maximum annual volume of
renewable fuels produced from a
specific renewable fuel production
facility on a calendar year basis.
(i) For facilities that commenced
construction prior to December 19, 2007
the actual peak capacity is based on the
last five calendar years prior to 2008,
unless no such production exists, in
which case actual peak capacity is
determined pursuant to paragraph
(a)(3)(ii) of this section.
(ii) For facilities that commenced
construction after December 19, 2007,
and are fired with natural gas, biomass,
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Fmt 4701
Sfmt 4700
or a combination thereof, the actual
peak capacity is based on any calendar
year after startup during the first three
years of operation.
(4) Commence construction, as
applied to facilities that produce
renewable fuel, means that:
(i) The owner or operator has all
necessary preconstruction approvals or
permits (as defined at 40 CFR
52.21(b)(10)), and has satisfied either of
the following:
(A) Begun, or caused to begin, a
continuous program of actual
construction on-site (as defined in 40
CFR 52.21(b)(11)).
(B) Entered into binding agreements
or contractual obligations, which cannot
be cancelled or modified without
substantial loss to the owner or
operator, to undertake a program of
actual construction of the facility.
(ii) For multi-phased projects, the
commencement of construction of one
phase does not constitute
commencement of construction of any
later phase, unless each phase is
mutually dependent for physical and
chemical reasons only.
(b) The lifecycle greenhouse gas
emissions from renewable fuels must be
at least 20 percent less than baseline
lifecycle greenhouse gas emissions, with
the exception of the baseline volumes of
renewable fuel produced from facilities
described in paragraphs (c) and (d) of
this section.
(c) The baseline volume of renewable
fuel that is produced from facilities and
any expansions, all of which
commenced construction on or before
December 19, 2007, shall not be subject
to the requirement that lifecycle
greenhouse gas emissions be at least 20
percent less than baseline lifecycle
greenhouse gas emissions if the owner
or operator:
(1) Did not discontinue construction
for a period of 18 months after
commencement of construction; and
(2) Completed construction within 36
months of commencement of
construction.
(d) The baseline volume of ethanol
that is produced from facilities and any
expansions all of which commenced
construction after December 19, 2007
and on or before December 31, 2009,
shall not be subject to the requirement
that lifecycle greenhouse gas emissions
be at least 20 percent less than baseline
lifecycle greenhouse gas emissions if
such facilities are fired with natural gas,
biomass, or a combination thereof at all
times the facility operated between
December 19, 2007 and December 31,
2009 and if:
(1) The owner or operator did not
discontinue construction for a period of
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18 months after commencement of
construction;
(2) The owner or operator completed
construction within 36 months of
commencement of construction; and
(3) The baseline volume continues to
be produced through processes fired
with natural gas, biomass, or any
combination thereof.
(e) The annual volume of renewable
fuel during a calendar year from
facilities described in paragraphs (c) and
(d) of this section that exceeds the
baseline volume shall be subject to the
requirement that lifecycle greenhouse
gas emissions be at least 20 percent less
than baseline lifecycle greenhouse gas
emissions.
mstockstill on DSKH9S0YB1PROD with RULES2
StdRF,i = 100% ∗
14:37 Mar 25, 2010
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§ 80.1405 What are the Renewable Fuel
Standards?
(a) Renewable Fuel Standards for
2010.
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
RFVBBD,i × 1.5
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
RFVAB,i
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
RFVRF,i
( Gi − RGi ) + ( GSi − RGSi ) − GEi + ( Di − RDi ) + ( DSi − RDSi ) − DEi
Where:
StdCB,i = The cellulosic biofuel standard for
year i, in percent.
StdBBD,i = The biomass-based diesel standard
for year i, in percent.
StdAB,i = The advanced biofuel standard for
year i, in percent.
StdRF,i = The renewable fuel standard for year
i, in percent.
RFVCB,i = Annual volume of cellulosic
biofuel required by section 211(o)(2)(B)
of the Clean Air Act for year i, in gallons.
RFVBBD,i = Annual volume of biomass-based
diesel required by section 211(o)(2)(B) of
the Clean Air Act for year i, in gallons.
RFVAB,i = Annual volume of advanced
biofuel required by section 211(o)(2)(B)
of the Clean Air Act for year i, in gallons.
RFVRF,i = Annual volume of renewable fuel
required by section 211(o)(2)(B) of the
Clean Air Act for year i, in gallons.
Gi = Amount of gasoline projected to be used
in the 48 contiguous states and Hawaii,
in year i, in gallons.
Di = Amount of diesel projected to be used
in the 48 contiguous states and Hawaii,
in year i, in gallons.
RGi = Amount of renewable fuel blended into
gasoline that is projected to be consumed
in the 48 contiguous states and Hawaii,
in year i, in gallons.
VerDate Nov<24>2008
[Reserved]
RFVCB,i
StdBBD,i = 100% ∗
StdAB,i = 100% ∗
§ 80.1404
(1) The value of the cellulosic biofuel
standard for 2010 shall be 0.004 percent.
(2) The value of the biomass-based
diesel standard for 2010 shall be 1.10
percent.
(3) The value of the advanced biofuel
standard for 2010 shall be 0.61 percent.
(4) The value of the renewable fuel
standard for 2010 shall be 8.25 percent.
(b) Beginning with the 2011
compliance period, EPA will calculate
the value of the annual standards and
publish these values in the Federal
Register by November 30 of the year
preceding the compliance period.
(c) EPA will calculate the annual
renewable fuel percentage standards
using the following equations:
RDi = Amount of renewable fuel blended into
diesel that is projected to be consumed
in the 48 contiguous states and Hawaii,
in year i, in gallons.
GSi = Amount of gasoline projected to be
used in Alaska or a U.S. territory, in year
i, if the state or territory has opted-in or
opts-in, in gallons.
RGSi = Amount of renewable fuel blended
into gasoline that is projected to be
consumed in Alaska or a U.S. territory,
in year i, if the state or territory opts-in,
in gallons.
DSi = Amount of diesel projected to be used
in Alaska or a U.S. territory, in year i, if
the state or territory has opted-in or optsin, in gallons.
RDSi = Amount of renewable fuel blended
into diesel that is projected to be
consumed in Alaska or a U.S. territory,
in year i, if the state or territory opts-in,
in gallons.
GEi = The amount of gasoline projected to be
produced by exempt small refineries and
small refiners, in year i, in gallons in any
year they are exempt per §§ 80.1441 and
80.1442, respectively. Assumed to equal
0.119*(Gi-RGi).
DEi = The amount of diesel fuel projected to
be produced by exempt small refineries
and small refiners in year i, in gallons,
in any year they are exempt per
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Fmt 4701
Sfmt 4700
§§ 80.1441 and 80.1442, respectively.
Assumed to equal 0.152*(Di-RDi).
(d) The 2010 price for cellulosic
biofuel waiver credits is $1.56 per
waiver credit.
§ 80.1406 Who is an obligated party under
the RFS program?
(a)(1) An obligated party is any refiner
that produces gasoline or diesel fuel
within the 48 contiguous states or
Hawaii, or any importer that imports
gasoline or diesel fuel into the 48
contiguous states or Hawaii during a
compliance period. A party that simply
blends renewable fuel into gasoline or
diesel fuel, as defined in § 80.1407(c) or
(e), is not an obligated party.
(2) If the Administrator approves a
petition of Alaska or a United States
territory to opt-in to the renewable fuel
program under the provisions in
§ 80.1443, then ‘‘obligated party’’ shall
also include any refiner that produces
gasoline or diesel fuel within that state
or territory, or any importer that imports
gasoline or diesel fuel into that state or
territory.
E:\FR\FM\26MRR2.SGM
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StdCB,i = 100% ∗
(f) If there are any changes in the mix
of renewable fuels produced by those
facilities described in paragraph (d) of
this section, only the ethanol volume (to
the extent it is less than or equal to
baseline volume) will not be subject to
the requirement that lifecycle
greenhouse gas emissions be at least 20
percent less than baseline lifecycle
greenhouse gas emissions. Any party
that changes the fuel mix must update
their registration as specified in
§ 80.1450(d).
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(b) For each compliance period
starting with 2010, an obligated party is
required to demonstrate, pursuant to
§ 80.1427, that it has satisfied the
Renewable Volume Obligations for that
compliance period, as specified in
§ 80.1407(a).
(c) Aggregation of facilities.
(1) Except as provided in paragraph
(c)(2) of this section, an obligated party
may comply with the requirements of
paragraph (b) of this section for all of its
refineries in the aggregate, or for each
refinery individually.
(2) An obligated party that carries a
deficit into year i+1 must use the same
approach to aggregation of facilities in
year i+1 as it did in year i.
(d) An obligated party must comply
with the requirements of paragraph (b)
of this section for all of its imported
gasoline or diesel fuel in the aggregate.
(e) An obligated party that is both a
refiner and importer must comply with
the requirements of paragraph (b) of this
section for its imported gasoline or
diesel fuel separately from gasoline or
diesel fuel produced by its domestic
refinery or refineries.
(f) Where a refinery or import facility
is jointly owned by two or more parties,
the requirements of paragraph (b) of this
section may be met by one of the joint
owners for all of the gasoline or diesel
fuel produced/imported at the facility,
or each party may meet the
requirements of paragraph (b) of this
section for the portion of the gasoline or
diesel fuel that it produces or imports,
as long as all of the gasoline or diesel
fuel produced/imported at the facility is
accounted for in determining the
Renewable Volume Obligations under
§ 80.1407.
(g) The requirements in paragraph (b)
of this section apply to the following
compliance periods: Beginning in 2010,
and every year thereafter, the
compliance period is January 1 through
December 31.
§ 80.1407 How are the Renewable Volume
Obligations calculated?
mstockstill on DSKH9S0YB1PROD with RULES2
(a) The Renewable Volume
Obligations for an obligated party are
determined according to the following
formulas:
(1) Cellulosic biofuel.
RVOCB,i = (RFStdCB,i * (GVi + DVi)) +
DCB,i–1
Where:
RVOCB,i = The Renewable Volume Obligation
for cellulosic biofuel for an obligated
party for calendar year i, in gallons.
RFStdCB,i = The standard for cellulosic
biofuel for calendar year i, determined
by EPA pursuant to § 80.1405, in
percent.
GVi = The non-renewable gasoline volume,
determined in accordance with
VerDate Nov<24>2008
14:37 Mar 25, 2010
Jkt 220001
paragraphs (b), (c), and (f) of this section,
which is produced in or imported into
the 48 contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DVi = The non-renewable diesel volume,
determined in accordance with
paragraphs (d), (e), and (f) of this section,
produced in or imported into the 48
contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DCB,i–1 = Deficit carryover from the previous
year for cellulosic biofuel, in gallons.
(2) Biomass-based diesel.
RVOBBD,i = (RFStdBBD,i * (GVi + DVi)) +
DBBD,i–1
Where:
RVOBBD,i = The Renewable Volume
Obligation for biomass-based diesel for
an obligated party for calendar year i, in
gallons.
RFStdBBD,i = The standard for biomass-based
diesel for calendar year i, determined by
EPA pursuant to § 80.1405, in percent.
GVi = The non-renewable gasoline volume,
determined in accordance with
paragraphs (b), (c), and (f) of this section,
which is produced in or imported into
the 48 contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DVi = The non-renewable diesel volume,
determined in accordance with
paragraphs (d), (e), and (f) of this section,
produced in or imported into the 48
contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DBBD,i–1 = Deficit carryover from the previous
year for biomass-based diesel, in gallons.
(3) Advanced biofuel.
RVOAB,i = (RFStdAB,i * (GVi + DVi)) +
DAB,i–1
Where:
RVOAB,i = The Renewable Volume Obligation
for advanced biofuel for an obligated
party for calendar year i, in gallons.
RFStdAB,i = The standard for advanced
biofuel for calendar year i, determined
by EPA pursuant to § 80.1405, in
percent.
GVi = The non-renewable gasoline volume,
determined in accordance with
paragraphs (b), (c), and (f) of this section,
which is produced in or imported into
the 48 contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DVi = The non-renewable diesel volume,
determined in accordance with
paragraphs (d), (e), and (f) of this section,
produced in or imported into the 48
contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DAB,i–1 = Deficit carryover from the previous
year for advanced biofuel, in gallons.
(4) Renewable fuel.
RVORF,i = (RFStdRF,i * (GVi + DVi)) +
DRF,i–1
Where:
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Sfmt 4700
RVORF,i = The Renewable Volume Obligation
for renewable fuel for an obligated party
for calendar year i, in gallons.
RFStdRF,i = The standard for renewable fuel
for calendar year i, determined by EPA
pursuant to § 80.1405, in percent.
GVi = The non-renewable gasoline volume,
determined in accordance with
paragraphs (b), (c), and (f) of this section,
which is produced in or imported into
the 48 contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DVi = The non-renewable diesel volume,
determined in accordance with
paragraphs (d), (e), and (f) of this section,
produced in or imported into the 48
contiguous states or Hawaii by an
obligated party in calendar year i, in
gallons.
DRF,i–1 = Deficit carryover from the previous
year for renewable fuel, in gallons.
(b) The non-renewable gasoline
volume, GVi, for an obligated party for
a given year as specified in paragraph
(a) of this section is calculated as
follows:
n
m
x =1
y =1
GVi = ∑ Gx − ∑ RBGy
Where:
x = Individual batch of gasoline produced or
imported in calendar year i.
n = Total number of batches of gasoline
produced or imported in calendar year i.
Gx = Volume of batch x of gasoline produced
or imported, as defined in paragraph (c)
of this section, in gallons.
y = Individual batch of renewable fuel
blended into gasoline in calendar year i.
m = Total number of batches of renewable
fuel blended into gasoline in calendar
year i.
RBGy = Volume of batch y of renewable fuel
blended into gasoline, in gallons.
(c) Except as specified in paragraph (f)
of this section, all of the following
products that are produced or imported
during a compliance period, collectively
called ‘‘gasoline’’ for the purposes of this
section (unless otherwise specified), are
to be included (but not double-counted)
in the volume used to calculate a party’s
Renewable Volume Obligations under
paragraph (a) of this section, except as
provided in paragraph (f) of this section:
(1) Reformulated gasoline, whether or
not renewable fuel is later added to it.
(2) Conventional gasoline, whether or
not renewable fuel is later added to it.
(3) Reformulated gasoline blendstock
that becomes finished reformulated
gasoline upon the addition of oxygenate
(RBOB).
(4) Conventional gasoline blendstock
that becomes finished conventional
gasoline upon the addition of oxygenate
(CBOB).
(5) Blendstock (including butane and
gasoline treated as blendstock (GTAB))
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n
m
x =1
y =1
DVi = ∑ Dx − ∑ RBDy
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Where:
x = Individual batch of diesel produced or
imported in calendar year i.
n = Total number of batches of diesel
produced or imported in calendar year i.
Dx = Volume of batch x of diesel produced
or imported, as defined in paragraph (e)
of this section, in gallons.
y = Individual batch of renewable fuel
blended into diesel in calendar year i.
m = Total number of batches of renewable
fuel blended into diesel in calendar year
i.
RBDy = Volume of batch y of renewable fuel
blended into diesel, in gallons.
(e) Except as specified in paragraph (f)
of this section, all products meeting the
definition of MVNRLM diesel fuel at
§ 80.2(qqq) that are produced or
imported during a compliance period,
collectively called ‘‘diesel fuel’’ for the
purposes of this section (unless
otherwise specified), are to be included
(but not double-counted) in the volume
used to calculate a party’s Renewable
Volume Obligations under paragraph (a)
of this section.
(f) The following products are not
included in the volume of gasoline or
diesel fuel produced or imported used
to calculate a party’s Renewable Volume
Obligations according to paragraph (a)
of this section:
(1) Any renewable fuel as defined in
§ 80.1401.
(2) Blendstock that has not been
combined with other blendstock,
finished gasoline, or diesel to produce
gasoline or diesel.
(3) Gasoline or diesel fuel produced or
imported for use in Alaska, the
Commonwealth of Puerto Rico, the U.S.
Virgin Islands, Guam, American Samoa,
and the Commonwealth of the Northern
Marianas, unless the area has opted into
the RFS program under § 80.1443.
(4) Gasoline or diesel fuel produced
by a small refinery that has an
exemption under § 80.1441 or an
approved small refiner that has an
exemption under § 80.1442.
(5) Gasoline or diesel fuel exported for
use outside the 48 United States and
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Hawaii, and gasoline or diesel fuel
exported for use outside Alaska, the
Commonwealth of Puerto Rico, the U.S.
Virgin Islands, Guam, American Samoa,
and the Commonwealth of the Northern
Marianas, if the area has opted into the
RFS program under § 80.1443.
(6) For blenders, the volume of
finished gasoline, finished diesel fuel,
RBOB, or CBOB to which a blender adds
blendstocks.
(7) The gasoline or diesel fuel portion
of transmix produced by a transmix
processor, or the transmix blended into
gasoline or diesel fuel by a transmix
blender, under § 80.84.
(8) Any gasoline or diesel fuel that is
not transportation fuel.
§§ 80.1408–80.1414
[Reserved]
§ 80.1415 How are equivalence values
assigned to renewable fuel?
(a)(1) Each gallon of a renewable fuel,
or gallon equivalent pursuant to
paragraph (c) of this section, shall be
assigned an equivalence value by the
producer or importer pursuant to
paragraph (b) or (c) of this section.
(2) The equivalence value is a number
that is used to determine how many
gallon-RINs can be generated for a batch
of renewable fuel according to
§ 80.1426.
(b) Equivalence values shall be
assigned for certain renewable fuels as
follows:
(1) Ethanol which is denatured shall
have an equivalence value of 1.0.
(2) Biodiesel (mono-alkyl ester) shall
have an equivalence value of 1.5.
(3) Butanol shall have an equivalence
value of 1.3.
(4) Non-ester renewable diesel with a
lower heating value of at least 123,500
Btu/gal shall have an equivalence value
of 1.7.
(5) A gallon of renewable fuel
represents 77,000 Btu (lower heating
value) of biogas, and biogas shall have
an equivalence value of 1.0.
(6) A gallon of renewable fuel
represents 22.6 kW-hr of electricity, and
electricity shall have an equivalence
value of 1.0.
(7) For all other renewable fuels, a
producer or importer shall submit an
application to the Agency for an
equivalence value following the
provisions of paragraph (c) of this
section. A producer or importer may
also submit an application for an
alternative equivalence value pursuant
to paragraph (c) if the renewable fuel is
listed in this paragraph (b), but the
producer or importer has reason to
believe that a different equivalence
value than that listed in this paragraph
(b) is warranted.
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(c) Calculation of new equivalence
values.
(1) The equivalence value for
renewable fuels described in paragraph
(b)(7) of this section shall be calculated
using the following formula:
EV = (R/0.972) * (EC/77,000)
Where:
EV = Equivalence Value for the renewable
fuel, rounded to the nearest tenth.
R = Renewable content of the renewable fuel.
This is a measure of the portion of a
renewable fuel that came from a
renewable source, expressed as a
percent, on an energy basis.
EC = Energy content of the renewable fuel,
in Btu per gallon (lower heating value).
(2) The application for an equivalence
value shall include a technical
justification that includes a description
of the renewable fuel, feedstock(s) used
to make it, and the production process.
(3) The Agency will review the
technical justification and assign an
appropriate equivalence value to the
renewable fuel based on the procedure
in this paragraph (c).
(4) Applications for equivalence
values must be sent to one of the
following addresses:
(i) For U.S. Mail: U.S. EPA, Attn:
RFS2 Program Equivalence Value
Application, 6406J, 1200 Pennsylvania
Avenue, NW., Washington, DC 20460.
(ii) For overnight or courier services:
U.S. EPA, Attn: RFS2 Program
Equivalence Value Application, 6406J,
1310 L Street, NW., 6th floor,
Washington, DC 20005. (202) 343–9038.
(5) All applications required under
this section shall be submitted on forms
and following procedures prescribed by
the Administrator.
§ 80.1416 Petition process for evaluation
of new renewable fuels pathways.
(a)(1) A party may petition EPA to
assign a D code for a new renewable fuel
pathway that has not been evaluated by
EPA to determine if it qualifies for a D
code as defined in § 80.1426(f), pursuant
to this section. A D code must be
approved prior to the generation of RINs
for the fuel in question.
(2) For renewable fuel pathways that
have been determined by EPA not to
qualify for a D code as defined in
§ 80.1426(f), parties who can document
significant differences between the fuel
production processes considered in this
rule and their fuel pathway production
processes may petition EPA to use a D
code pursuant to this section.
(3) Parties may petition EPA to qualify
their renewable fuel pathway for a
different D code than the D code
assigned to the fuel pathway as defined
in § 80.1426(f) if the parties can
document significant differences
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that has been combined with other
blendstock and/or finished gasoline to
produce gasoline.
(6) Any gasoline, or any unfinished
gasoline that becomes finished gasoline
upon the addition of oxygenate, that is
produced or imported to comply with a
state or local fuels program.
(d) The diesel non-renewable volume,
DVi, for an obligated party for a given
year as specified in paragraph (a) of this
section is calculated as follows:
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between the fuel production processes
considered in this rule and their fuel
pathway production processes, pursuant
to this section.
(b)(1) Any petition under paragraph
(a) of this section shall include all the
following:
(i) The information specified under
§ 80.76.
(ii) A technical justification that
includes a description of the renewable
fuel, feedstock(s) used to make it, and
the production process. The justification
must include process modeling flow
charts.
(iii) A mass balance for the pathway,
including feedstocks, fuels produced,
co-products, and waste materials
production.
(iv) Information on co-products,
including their expected use and market
value.
(v) An energy balance for the
pathway, including a list of any energy
and process heat inputs and outputs
used in the pathway, including such
sources produced off site or by another
entity.
(vi) Any other relevant information,
including information pertaining to
energy saving technologies or other
process improvements.
(vii) The Administrator may ask for
additional information to complete the
lifecycle greenhouse gas assessment of
the new fuel or pathway.
(2) For those companies who use a
feedstock not previously evaluated by
EPA under this subpart, the petition
must include all the following in
addition to the requirements in
paragraph (b)(1) of this section:
(i) Type of feedstock and description
of how it meets the definition of
renewable biomass.
(ii) Market value of the feedstock.
(iii) List of other uses for the
feedstock.
(iv) List of chemical inputs needed to
produce the renewable biomass source
of the feedstock and prepare the
renewable biomass for processing into
feedstock.
(v) Identify energy needed to obtain
the feedstock and deliver it to the
facility. If applicable, identify energy
needed to plant and harvest the
renewable biomass source of the
feedstock and modify the source to
create the feedstock.
(vi) Current and projected yields of
the feedstock that will be used to
produce the fuels.
(vii) The Administrator may ask for
additional information to complete the
lifecycle Greenhouse Gas assessment of
the new fuel or pathway.
(c)(1) A company may only submit
one petition per pathway. If EPA
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determines the petition to be
incomplete, then the company may
resubmit.
(2) The petition must be signed and
certified as meeting all the applicable
requirements of this subpart by the
responsible corporate officer of the
applicant organization.
(3) If EPA determines that the petition
is incomplete then EPA will notify the
applicant in writing that the petition is
incomplete and will not be reviewed
further. However, an amended petition
that corrects the omission may be resubmitted for EPA review.
(4) If the fuel or pathway described in
the petition does not meet the
definitions in § 80.1401 of renewable
fuel, advanced biofuel, cellulosic
biofuel, or biomass-based diesel, then
EPA will notify the applicant in writing
that the petition is denied and will not
be reviewed further.
(d) The petition under this section
shall be submitted on forms and
following procedures as prescribed by
EPA.
§§ 80.1417–80.1424
[Reserved]
§ 80.1425 Renewable Identification
Numbers (RINs).
Each RIN is a 38-character numeric
code of the following form:
KYYYYCCCCFFFFFBBBBBRRD
SSSSSSSSEEEEEEEE
(a) K is a number identifying the type
of RIN as follows:
(1) K has the value of 1 when the RIN
is assigned to a volume of renewable
fuel pursuant to § 80.1426(e) and
§ 80.1428(a).
(2) K has the value of 2 when the RIN
has been separated from a volume of
renewable fuel pursuant to § 80.1429.
(b) YYYY is the calendar year in
which the RIN was generated.
(c) CCCC is the registration number
assigned, according to § 80.1450, to the
producer or importer of the batch of
renewable fuel.
(d) FFFFF is the registration number
assigned, according to § 80.1450, to the
facility at which the batch of renewable
fuel was produced or imported.
(e) BBBBB is a serial number assigned
to the batch which is chosen by the
producer or importer of the batch such
that no two batches have the same value
in a given calendar year.
(f) RR is a number representing 10
times the equivalence value of the
renewable fuel as specified in § 80.1415.
(g) D is a number determined
according to § 80.1426(f) and identifying
the type of renewable fuel, as follows:
(1) D has the value of 3 to denote fuel
categorized as cellulosic biofuel.
(2) D has the value of 4 to denote fuel
categorized as biomass-based diesel.
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(3) D has the value of 5 to denote fuel
categorized as advanced biofuel.
(4) D has the value of 6 to denote fuel
categorized as renewable fuel.
(5) D has the value of 7 to denote fuel
categorized as cellulosic diesel.
(h) SSSSSSSS is a number
representing the first gallon-RIN
associated with a batch of renewable
fuel.
(i) EEEEEEEE is a number
representing the last gallon-RIN
associated with a batch of renewable
fuel. EEEEEEEE will be identical to
SSSSSSSS if the batch-RIN represents a
single gallon-RIN. Assign the value of
EEEEEEEE as described in § 80.1426.
§ 80.1426 How are RINs generated and
assigned to batches of renewable fuel by
renewable fuel producers or importers?
(a) General requirements.
(1) To the extent permitted under
paragraphs (b) and (c) of this section,
producers and importers of renewable
fuel must generate RINs to represent
that fuel if the fuel:
(i) Qualifies for a D code pursuant to
§ 80.1426(f), or EPA has approved a
petition for use of a D code pursuant to
§ 80.1416; and
(ii) Is demonstrated to be produced
from renewable biomass pursuant to the
reporting requirements of § 80.1451 and
the recordkeeping requirements of
§ 80.1454.
(A) Feedstocks meeting the
requirements of renewable biomass
through the aggregate compliance
provision at § 80.1454(g) are deemed to
be renewable biomass.
(B) [Reserved]
(2) To generate RINs for imported
renewable fuel, including any
renewable fuel contained in imported
transportation fuel, importers must
obtain information from a foreign
producer that is registered pursuant to
§ 80.1450 sufficient to make the
appropriate determination regarding the
applicable D code and compliance with
the renewable biomass definition for
each imported batch for which RINs are
generated.
(3) A party generating a RIN shall
specify the appropriate numerical
values for each component of the RIN in
accordance with the provisions of
§ 80.1425(a) and paragraph (f) of this
section.
(b) Regional applicability.
(1) Except as provided in paragraph
(c) of this section, a RIN must be
generated by a renewable fuel producer
or importer for a batch of renewable fuel
that satisfies the requirements of
paragraph (a)(1) of this section if it is
produced or imported for use as
transportation fuel, heating oil, or jet
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fuel in the 48 contiguous states or
Hawaii.
(2) If the Administrator approves a
petition of Alaska or a United States
territory to opt-in to the renewable fuel
program under the provisions in
§ 80.1443, then the requirements of
paragraph (b)(1) of this section shall also
apply to renewable fuel produced or
imported for use as transportation fuel,
heating oil, or jet fuel in that state or
territory beginning in the next calendar
year.
(c) Cases in which RINs are not
generated.
(1) Fuel producers and importers may
not generate RINs for fuel that is not
designated or intended for use as
transportation fuel, heating oil, or jet
fuel.
(2) Small producer/importer
threshold. Pursuant to § 80.1455(a) and
(b), renewable fuel producers that
produce less than 10,000 gallons a year
of renewable fuel, and importers that
import less than 10,000 gallons a year of
renewable fuel, are not required to
generate and assign RINs to batches of
renewable fuel that that satisfy the
requirements of paragraph (a)(1) of this
section that they produce or import.
(3) Temporary new producer
threshold. Pursuant to § 80.1455(c) and
(d), renewable fuel producers that
produce less than 125,000 gallons a year
of renewable fuel are not required to
generate and assign RINs to batches of
renewable fuel that satisfy the
requirements of paragraph (a)(1) of this
section and that are produced from a
new facility, for a maximum of three
years beginning with the calendar year
in which the production facility
produces its first gallon of renewable
fuel.
(4) Importers shall not generate RINs
for fuel imported from a foreign
producer that is not registered with EPA
as required in § 80.1450.
(5) Importers shall not generate RINs
for renewable fuel that has already been
assigned RINs by a registered foreign
producer.
(6) A party is prohibited from
generating RINs for a volume of fuel that
it produces if:
(i) The fuel does not meet the
requirements of paragraph (a)(1) of this
section; or
(ii) The fuel has been produced from
a chemical conversion process that uses
another renewable fuel as a feedstock,
the renewable fuel used as a feedstock
was produced by another party, and
RINs with a K code of 1 were received
with the renewable fuel.
(A) Parties who produce renewable
fuel made from a feedstock which itself
was a renewable fuel received with
RINs, shall assign the original RINs to
the new renewable fuel.
(B) [Reserved]
(d)(1) Definition of batch. For the
purposes of this section and § 80.1425,
a ‘‘batch of renewable fuel’’ is a volume
of renewable fuel that has been assigned
a unique identifier within a calendar
year by the producer or importer of the
renewable fuel in accordance with the
provisions of this section and § 80.1425.
(i) The number of gallon-RINs
generated for a batch of renewable fuel
may not exceed 99,999,999.
(ii) A batch of renewable fuel cannot
represent renewable fuel produced or
imported in excess of one calendar
month.
14871
(2) Multiple gallon-RINs generated to
represent a given volume of renewable
fuel can be represented by a single
batch-RIN through the appropriate
designation of the RIN volume codes
SSSSSSSS and EEEEEEEE.
(i) The value of SSSSSSSS in the
batch-RIN shall be 00000001 to
represent the first gallon-RIN associated
with the volume of renewable fuel.
(ii) The value of EEEEEEEE in the
batch-RIN shall represent the last
gallon-RIN associated with the volume
of renewable fuel, based on the RIN
volume determined pursuant to
paragraph (f) of this section.
(iii) Under § 80.1452, RIN volumes
will be managed by EMTS. RIN codes
SSSSSSSS and EEEEEEEE do not have
a role in EMTS.
(e) Assignment of RINs to batches.
(1) The producer or importer of
renewable fuel must assign all RINs
generated to volumes of renewable fuel.
(2) A RIN is assigned to a volume of
renewable fuel when ownership of the
RIN is transferred along with the
transfer of ownership of the volume of
renewable fuel, pursuant to § 80.1428(a).
(3) All assigned RINs shall have a K
code value of 1.
(f) Generation of RINs.
(1) Applicable pathways. D codes
shall be used in RINs generated by
producers or importers of renewable
fuel according to the pathways listed in
Table 1 to this section, or as approved
by the Administrator. In choosing an
appropriate D code, producers and
importers may disregard any incidental,
de minimis feedstock contaminants that
are impractical to remove and are
related to customary feedstock
production and transport.
TABLE 1 TO § 80.1426 APPLICABLE D CODES FOR EACH FUEL PATHWAY FOR USE IN GENERATING RINS
Feedstock
Production process
requirements
Ethanol .............................
Corn starch ..............................................................
Ethanol .............................
Corn starch ..............................................................
Ethanol .............................
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Fuel type
Corn starch ..............................................................
Ethanol .............................
Corn starch ..............................................................
Ethanol .............................
Starches from agricultural residues and annual
covercrops.
All of the following: ..................................................
Drymill process, using natural gas, biomass, or
biogas for process energy and at least two advanced technologies from Table 2 to this section.
All of the following: ..................................................
Dry mill process, using natural gas, biomass, or
biogas for process energy and at least one of
the advanced technologies from Table 2 to this
section plus drying no more than 65% of the
distillers grains with solubles it markets annually.
All of the following: ..................................................
Dry mill process, using natural gas, biomass, or
biogas for process energy and drying no more
than 50% of the distillers grains with solubles it
markets annually.
Wet mill process using biomass or biogas for
process energy.
Fermentation using natural gas, biomass, or
biogas for process energy.
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D-Code
6
6
6
6
6
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TABLE 1 TO § 80.1426 APPLICABLE D CODES FOR EACH FUEL PATHWAY FOR USE IN GENERATING RINS—Continued
Fuel type
Feedstock
Production process
requirements
Biodiesel, and renewable
diesel.
Soy bean oil;
Oil from annual covercrops;
Algal oil;
Biogenic waste oils/fats/greases;
Non-food grade corn oil.
Soy bean oil;
Oil from annual covercrops;
Algal oil;
Biogenic waste oils/fats/greases;
Non-food grade corn oil.
Sugarcane ...............................................................
Cellulosic Biomass from agricultural residues,
slash, forest thinnings and forest product residues, annual covercrops; switchgrass, and
miscanthus; cellulosic components of separated
yard wastes; cellulosic components of separated
food wastes; and cellulosic components of separated MSW.
Cellulosic Biomass from agricultural residues,
slash, forest thinnings and forest product residues, annual covercrops, switchgrass, and
miscanthus; cellulosic components of separated
yard wastes; cellulosic components of separated
food wastes; and cellulosic components of separated MSW.
Corn starch ..............................................................
One of the following:
Trans-Esterification
Hydrotreating
Excluding processes that co-process renewable
biomass and petroleum.
One of the following:
Trans-Esterification
Hydrotreating
Includes only processes that co-process renewable biomass and petroleum.
Fermentation ...........................................................
Any ..........................................................................
4
Any ..........................................................................
7
Fermentation; dry mill using natural gas, biomass,
or biogas for process energy.
Fischer-Tropsch process .........................................
6
Any ..........................................................................
5
Any ..........................................................................
5
Biodiesel, and renewable
diesel.
Ethanol .............................
Ethanol .............................
Cellulosic Diesel, Jet Fuel
and Heating Oil.
Butanol .............................
Cellulosic Naphtha ...........
Ethanol, renewable diesel,
jet fuel, heating oil, and
naphtha.
Biogas ..............................
Cellulosic Biomass from agricultural residues,
slash, forest thinnings and forest product residues, annual covercrops, switchgrass, and
miscanthus; cellulosic components of separated
yard wastes; cellulosic components of separated
food wastes; and cellulosic components of separated MSW.
The non-cellulosic portions of separated food
wastes.
Landfills, sewage and waste treatment plants, manure digesters.
calculated in accordance with paragraph
(f)(8) of this section.
TABLE 2 TO § 80.1426—ADVANCED
TECHNOLOGIES
Corn oil fractionation.
Corn oil extraction.
Membrane separation.
Raw starch hydrolysis.
Combined heat and power.
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(2) Renewable fuel that can be
described by a single pathway.
(i) The number of gallon-RINs that
shall be generated for a batch of
renewable fuel by a producer or
importer for renewable fuel that can be
described by a single pathway shall be
equal to a volume calculated according
to the following formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
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(ii) The D code that shall be used in
the RINs generated shall be the D code
specified in Table 1 to this section, or
a D code as approved by the
Administrator, which corresponds to
the pathway that describes the
producer’s operations.
(3) Renewable fuel that can be
described by two or more pathways.
(i) The D codes that shall be used in
the RINs generated by a producer or
importer whose renewable fuel can be
described by two or more pathways
shall be the D codes specified in Table
1 to this section, or D codes as approved
by the Administrator, which correspond
to the pathways that describe the
renewable fuel throughout that calendar
year.
(ii) If all the pathways describing the
producer’s operations have the same D
code and each batch is of a single fuel
type, then that D code shall be used in
all the RINs generated and the number
of gallon-RINs that shall be generated
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D-Code
5
5
3
3
for a batch of renewable fuel shall be
equal to a volume calculated according
to the following formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
(iii) If all the pathways describing the
producer’s operations have the same D
code but individual batches are
comprised of a mixture of fuel types
with different equivalence values, then
that D code shall be used in all the RINs
generated and the number of gallonRINs that shall be generated for a batch
of renewable fuel shall be equal to a
volume calculated according to the
following formula:
VRIN = S(EVi * Vs,i)
Where:
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(iv) If the pathway applicable to a
producer changes on a specific date,
such that one pathway applies before
the date and another pathway applies
on and after the date, and each batch is
of a single fuel type, then the applicable
D code and batch identifier used in
generating RINs must change on the
date that the change in pathway occurs
and the number of gallon-RINs that shall
be generated for a batch of renewable
fuel shall be equal to a volume
calculated according to the following
formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch with
a single applicable D code.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
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(v) If a producer produces batches that
are comprised of a mixture of fuel types
with different equivalence values and
different applicable D codes, then
separate values for VRIN shall be
calculated for each category of
renewable fuel according to formulas in
Table 3 to this section. All batch-RINs
thus generated shall be assigned to
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Jkt 220001
unique batch identifiers for each portion
of the batch with a different D code.
TABLE 3 TO § 80.1426—NUMBER OF
GALLON-RINS TO ASSIGN TO
BATCH-RINS WITH D CODES DEPENDENT ON FUEL TYPE
D code to use in
batch-RIN
D = 3 .........................
D = 4 .........................
D = 5 .........................
D = 6 .........................
D = 7 .........................
Number of
gallon-RINs
VRIN, CB = EVCB *
Vs,CB
VRIN, BBD = EVBBD *
Vs,BBD
VRIN, AB = EVAB *
Vs,AB
VRIN, RF = EVRF *
Vs,RF
VRIN, CD = EVCD *
Vs,CD
Where:
VRIN,CB = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the cellulosic
biofuel portion of the batch with a D
code of 3.
VRIN,BBD = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the biomassbased diesel portion of the batch with a
D code of 4.
VRIN,AB = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the advanced
biofuel potion of the batch with a D code
of 5.
VRIN,RF = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the renewable
fuel potion of the batch with a D code
of 6.
VRIN,CD = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the cellulosic
diesel portion of the batch with a D code
of 7.
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EVCB = Equivalence value for the cellulosic
biofuel portion of the batch per
§ 80.1415.
EVBBD = Equivalence value for the biomassbased diesel portion of the batch per
§ 80.1415.
EVAB = Equivalence value for the advanced
biofuel portion of the batch per
§ 80.1415.
EVRF = Equivalence value for the renewable
fuel portion of the batch per § 80.1415.
EVCD = Equivalence value for the cellulosic
diesel portion of the batch per § 80.1415.
Vs,CB = Standardized volume at 60 °F of the
portion of the batch that must be
assigned a D code of 3, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
Vs,BBD = Standardized volume at 60 °F of the
portion of the batch that must be
assigned a D code of 4, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
Vs,AB = Standardized volume at 60 °F of the
portion of the batch that must be
assigned a D code of 5, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
Vs,RF = Standardized volume at 60 °F of the
portion of the batch that must be
assigned a D code of 6, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
Vs,CD = Standardized volume at 60 °F of the
portion of the batch that must be
assigned a D code of 7, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
(vi) If a producer produces a single
type of renewable fuel using two or
more different feedstocks which are
processed simultaneously, and each
batch is comprised of a single type of
fuel, then the number of gallon-RINs
that shall be generated for a batch of
renewable fuel and assigned a particular
D code shall be determined according to
the formulas in Table 4 to this section.
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VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EVi = Equivalence value for fuel type i in the
batch of renewable fuel per § 80.1415.
Vs,i = Standardized volume of fuel type i
in the batch of renewable fuel at 60 °F, in
gallons, calculated in accordance with
paragraph (f)(8) of this section.
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Where:
VRIN,CB = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch of
cellulosic biofuel with a D code of 3.
VRIN,BBD = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch of
biomass-based diesel with a D code of 4.
VRIN,AB = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch of
advanced biofuel with a D code of 5.
VRIN,RF = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch of
renewable fuel with a D code of 6.
VRIN,CD = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for a batch of
cellulosic diesel with a D code of 7.
EV = Equivalence value for the renewable
fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
FE3 = Feedstock energy from all feedstocks
whose pathways have been assigned a D
code of 3 under Table 1 to this section,
or a D code of 3 as approved by the
Administrator, in Btu.
FE4 = Feedstock energy from all feedstocks
whose pathways have been assigned a D
code of 4 under Table 1 to this section,
or a D code of 4 as approved by the
Administrator, in Btu.
FE5 = Feedstock energy from all feedstocks
whose pathways have been assigned a D
code of 5 under Table 1 to this section,
or a D code of 5 as approved by the
Administrator, in Btu.
FE6 = Feedstock energy from all feedstocks
whose pathways have been assigned a D
code of 6 under Table 1 to this section,
or a D code of 6 as approved by the
Administrator, in Btu.
FE7 = Feedstock energy from all feedstocks
whose pathways have been assigned a D
code of 7 under Table 1 to this section,
or a D code of 7 as approved by the
Administrator, in Btu.
mstockstill on DSKH9S0YB1PROD with RULES2
Feedstock energy values, FE, shall be
calculated according to the following
formula:
FE = M * (1 ¥ m) * CF * E
Where:
FE = Feedstock energy, in Btu.
M = Mass of feedstock, in pounds, measured
on a daily or per-batch basis.
m = Average moisture content of the
feedstock, in mass percent.
CF = Converted Fraction in annual average
mass percent, representing that portion
of the feedstock that is converted into
renewable fuel by the producer.
E = Energy content of the components of the
feedstock that are converted to
renewable fuel, in annual average Btu/lb,
determined according to paragraph (f)(7)
of this section.
(4) Renewable fuel that is produced by
co-processing renewable biomass and
non-renewable feedstocks
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simultaneously to produce a
transportation fuel that is partially
renewable.
(i) The number of gallon-RINs that
shall be generated for a batch of
partially renewable transportation fuel
shall be equal to a volume VRIN
calculated according to Method A or
Method B.
(A) Method A.
(1) VRIN shall be calculated according
to the following formula:
VRIN = EV * Vs * FER/(FER + FENR)
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
FER = Feedstock energy from renewable
biomass used to make the transportation
fuel, in Btu.
FENR = Feedstock energy from non-renewable
feedstocks used to make the
transportation fuel, in Btu.
(2) The value of FE for use in
paragraph (f)(4)(i)(A)(1) of this section
shall be calculated from the following
formula:
FE = M * (1 ¥ m) * CF * E
FE = Feedstock energy, in Btu.
M = Mass of feedstock, in pounds, measured
on a daily or per-batch basis.
m = Average moisture content of the
feedstock, in mass percent.
CF = Converted fraction in annual average
mass percent, representing that portion
of the feedstock that is converted into
transportation fuel by the producer.
E = Energy content of the components of the
feedstock that are converted to fuel, in
annual average Btu/lb, determined
according to paragraph (f)(7) of this
section.
(B) Method B. VRIN shall be calculated
according to the following formula:
VRIN = EV * Vs * R
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
R = The renewable fraction of the fuel as
measured by a carbon-14 dating test
method as provided in paragraph (f)(9) of
this section.
(ii) The D code that shall be used in
the RINs generated to represent partially
renewable transportation fuel shall be
the D code specified in Table 1 to this
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section, or a D code as approved by the
Administrator, which corresponds to
the pathway that describes a producer’s
operations. In determining the
appropriate pathway, the contribution
of fossil fuel feedstocks to the
production of partially renewable fuel
shall be ignored.
(5) Renewable fuel produced from
separated yard and food waste.
(i) Separated yard waste and food
waste means, for the purposes of this
section, waste that is one of the
following:
(A) Separated yard wastes, which are
feedstock streams consisting of yard
waste kept separate since generation
from other waste materials. Separated
yard wastes are deemed to be composed
entirely of cellulosic materials.
(B) Separated food wastes, which are
feedstock streams consisting of food
wastes kept separate since generation
from other waste materials, and which
include food and beverage production
wastes and post-consumer food and
beverage wastes. Separated food wastes
are deemed to be composed entirely of
non-cellulosic materials, unless a party
demonstrates that a portion of the
feedstock is cellulosic through approval
of their facility registration.
(C) Separated municipal solid waste
(MSW), which is material remaining
after separation actions have been taken
to remove recyclable paper, cardboard,
plastics, rubber, textiles, metals, and
glass from municipal solid waste, and
which is composed of both cellulosic
and non-cellulosic materials.
(ii)(A) A feedstock qualifies under
paragraph (f)(5)(i)(A) or (f)(5)(i)(B) of
this section only if it is collected
according to a plan submitted to and
approved by U.S. EPA under the
registration procedures specified in
§ 80.1450(b)(1)(vii).
(B) A feedstock qualifies under
paragraph (f)(5)(i)(C) of this section only
if it is collected according to a plan
submitted to and approved by U.S. EPA
under the registration procedures
specified in § 80.1450(b)(1)(viii).
(iii) Separation and recycling actions
specified in paragraph (f)(5)(i)(C) of this
section are considered to occur if:
(A) Recyclable paper, cardboard,
plastics, rubber, textiles, metals, and
glass that can be recycled are separated
and removed from the municipal solid
waste stream to the extent reasonably
practicable according to a plan
submitted to and approved by U.S. EPA
under the registration procedures
specified in § 80.1450(b)(1)(viii); and
(B) The fuel producer has evidence of
all contractual arrangements for paper,
cardboard, plastics, rubber, textiles,
metals, and glass that are recycled.
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(iv)(A) The number of gallon-RINs
that shall be generated for a batch of
renewable fuel derived from separated
yard waste as defined in paragraph
(f)(5)(i)(A) of this section shall be equal
to a volume VRIN and is calculated
according to the following formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of cellulosic
biofuel gallon-RINs that shall be
generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
(B) The number of gallon-RINs that
shall be generated for a batch of
renewable fuel derived from separated
food waste as defined in paragraph
(f)(5)(i)(B) of this section shall be equal
to a volume VRIN and is calculated
according to the following formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of cellulosic or
advanced biofuel gallon-RINs that shall
be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
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(v) The number of cellulosic biofuel
gallon-RINs that shall be generated for
the cellulosic portion of a batch of
renewable fuel derived from separated
MSW as defined in paragraph (f)(5)(i)(C)
of this section shall be determined
according to the following formula:
VRIN = EV * Vs * R
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of cellulosic
biofuel gallon-RINs that shall be
generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
R = The calculated non-fossil fraction of the
fuel as measured by a carbon-14 dating
test method as provided in paragraph
(f)(9) of this section.
(vi) The D code that shall be used in
the RINs generated to represent
separated yard waste, food waste, and
MSW shall be the D code specified in
Table 1 to this section, or a D code as
approved by the Administrator, which
corresponds to the pathway that
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describes the producer’s operations and
feedstocks.
(6) Renewable fuel neither covered by
the pathways in Table 1 to this section,
nor given an approval by the
Administrator for use of a specific D
code.
If none of the pathways described in
Table 1 to this section apply to a
producer’s operations, and the producer
has not received approval for the use of
a specific D code by the Administrator,
the party may generate RINs if the fuel
from its facility is made from renewable
biomass and qualifies for an exemption
under § 80.1403 from the requirement
that renewable fuel achieve at least a 20
percent reduction in lifecycle
greenhouse gas emissions compared to
baseline lifecycle greenhouse gas
emissions.
(i) The number of gallon-RINs that
shall be generated for a batch of
renewable fuel that qualifies for an
exemption from the 20 percent GHG
reduction requirements under § 80.1403
shall be equal to a volume calculated
according to the following formula:
VRIN = EV * Vs
Where:
VRIN = RIN volume, in gallons, for use in
determining the number of gallon-RINs
that shall be generated for the batch.
EV = Equivalence value for the batch of
renewable fuel per § 80.1415.
Vs = Standardized volume of the batch of
renewable fuel at 60 °F, in gallons,
calculated in accordance with paragraph
(f)(8) of this section.
(ii) A D code of 6 shall be used in the
RINs generated under this paragraph
(f)(6).
(7) Determination of feedstock energy
content factors.
(i) For purposes of paragraphs
(f)(3)(vi) and (f)(4)(i)(A)(2) of this
section, producers must specify the
value for E, the energy content of the
components of the feedstock that are
converted to renewable fuel, used in the
calculation of the feedstock energy
value FE.
(ii) The value for E shall represent the
higher or gross calorific heating value
for a feedstock on a zero moisture basis.
(iii) Producers must specify the value
for E for each type of feedstock at least
once per calendar year.
(iv) A producer must use default
values for E as provided in paragraph
(f)(7)(vi) of this section, or must
determine alternative values for its own
feedstocks according to paragraph
(f)(7)(v) of this section.
(v) Producers that do not use a default
value for E must use the following test
methods, or alternative test methods as
approved by EPA, to determine the
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14875
value of E. The value of E shall be based
upon the test results of a sample of
feedstock that, based upon good
engineering judgment, is representative
of the feedstocks used to produce
renewable fuel:
(A) ASTM E 870 or ASTM E 711 for
gross calorific value (both incorporated
by reference, see § 80.1468).
(B) ASTM D 4442 or ASTM D 4444 for
moisture content (both incorporated by
reference, see § 80.1468).
(vi) Default values for E.
(A) Starch: 7,600 Btu/lb.
(B) Sugar: 7,300 Btu/lb.
(C) Vegetable oil: 17,000 Btu/lb.
(D) Waste cooking oil or trap grease:
16,600 Btu/lb.
(E) Tallow or fat: 16,200 Btu/lb.
(F) Manure: 6,900 Btu/lb.
(G) Woody biomass: 8,400 Btu/lb.
(H) Herbaceous biomass: 7,300 Btu/lb.
(I) Yard wastes: 2,900 Btu/lb.
(J) Biogas: 11,000 Btu/lb.
(K) Food waste: 2,000 Btu/lb.
(L) Paper: 7,200 Btu/lb.
(M) Crude oil: 19,100 Btu/lb.
(N) Coal—bituminous: 12,200 Btu/lb.
(O) Coal—anthracite: 13,300 Btu/lb.
(P) Coal—lignite or sub-bituminous:
7,900 Btu/lb.
(Q) Natural gas: 19,700 Btu/lb.
(R) Tires or rubber: 16,000 Btu/lb.
(S) Plastic: 19,000 Btu/lb.
(8) Standardization of volumes. In
determining the standardized volume of
a batch of renewable fuel for purposes
of generating RINs under this paragraph
(f), the batch volumes shall be adjusted
to a standard temperature of 60 °F.
(i) For ethanol, the following formula
shall be used:
Vs,e = Va,e * (¥0.0006301 * T + 1.0378)
Where:
Vs,e = Standardized volume of ethanol at 60
°F, in gallons.
Va,e = Actual volume of ethanol, in gallons.
T = Actual temperature of the batch, in °F.
(ii) For biodiesel (mono-alkyl esters),
one of the following two methods for
biodiesel temperature standardization to
60 °Fahrenheit (°F ) shall be used:
(A) Vs,b = Va.b * (-0.00045767 * T +
1.02746025)
Where:
Vs,b = Standardized volume of biodiesel at 60
°F, in gallons.
Va,b = Actual volume of biodiesel, in gallons.
T = Actual temperature of the batch, in °F.
(B) The standardized volume of
biodiesel at 60 °F, in gallons, as
calculated from the use of the American
Petroleum Institute Refined Products
Table 6B, as referenced in ASTM D 1250
(incorporated by reference, see
§ 80.1468).
(iii) For other renewable fuels, an
appropriate formula commonly
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accepted by the industry shall be used
to standardize the actual volume to 60
°F. Formulas used must be reported to
EPA, and may be determined to be
inappropriate.
(9) Use of radiocarbon dating test
methods.
(i) Parties may use a radiocarbon
dating test method for determination of
the renewable fraction of a fuel R used
to determine VRIN as provided in
paragraphs (f)(4) and (f)(5) of this
section.
(ii) Parties must use Method B or
Method C of ASTM D 6866
(incorporated by reference, see
§ 80.1468), or an alternative test method
as approved by EPA.
(iii) For each batch of fuel, the value
of R must be based on:
(A) A radiocarbon dating test of the
batch of fuel produced; or
(B) A radiocarbon dating test of a
composite sample of previously
produced fuel, if all of the following
conditions are met:
(1) Based upon good engineering
judgment, the renewable fraction of the
composite sample must be
representative of the batch of fuel
produced.
(2) The composite sample is
comprised of a volume weighted
combination of samples from every
batch of partially renewable
transportation fuel produced by the
party over a period not to exceed one
calendar month, or more frequently if
necessary to ensure that the test results
are representative of the renewable
fraction of the partially renewable fuel.
(3) The composite sample must be
well mixed prior to testing.
(4) A volume of each composite
sample must be retained for a minimum
of two years, and be of sufficient volume
to permit two additional tests to be
conducted.
(iv) If the party is using the composite
sampling approach according to
paragraph (f)(9)(iii)(B) of this section,
the party may estimate the value of R for
use in generating RINs in the first month
if all of the following conditions are
met:
(A) The estimate of R for the first
month is based on information on the
composition of the feedstock;
(B) The party calculates R in the
second month based on the application
of a radiocarbon dating test on a
composite sample pursuant to
(f)(9)(iii)(B) of this section; and
(C) The party adjusts the value of R
used to generate RINs in the second
month using the following formula:
Ri∂1,adj = 2 × Ri∂1,calc¥Ri,est
Where:
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Ri∂1,adj = Adjusted value of R for use in
generating RINs in month the second
month i+1.
Ri∂1,calc = Calculated value of R in second
month i+1 by applying a radiocarbon
dating test method to a composite
sample of fuel.
Ri,est = Estimate of R for the first month i.
(10)(i) For purposes of this section,
electricity and biogas used as
transportation fuel is considered
renewable fuel and the producer may
generate RINs if all of the following
apply:
(A) The fuel is produced from
renewable biomass and qualifies for a D
code in Table 1 to this section or has
received approval for use of a D code by
the Administrator;
(B) The renewable electricity, or
biogas, is not placed in a commercial
distribution system along with fuels
derived from nonrenewable feedstocks;
and
(C) The fuel producer has entered into
a written contract for the sale and use
as transportation fuel of a specific
quantity of electricity or biogas.
(ii) Electricity that is generated by cofiring a combination of renewable
biomass and fossil fuel may generate
RINs only for the portion attributable to
the renewable biomass portion, using
the procedure described in paragraph
(f)(4) of this section.
(11)(i) For purposes of this section,
electricity and biogas that is introduced
into a commercial distribution system
may be considered renewable fuel and
may qualify for RINs if:
(A) The fuel is produced from
renewable biomass and qualifies for a D
code in Table 1 of this section or has
received approval for use of a D code by
the Administrator;
(B) The fuel producer has entered into
a written contract for the sale of a
specific quantity of fuel derived from
renewable biomass sources with a party
that uses fuel taken from a commercial
distribution system for transportation
purposes, and such fuel has been
introduced into that commercial
distribution system (e.g., pipeline,
transmission line); and
(C) The quantity of biogas or
electricity for which RINs were
generated was sold to the transportation
fueling facility and to no other facility.
(ii) Biogas that is introduced into a
commercial distribution system may
qualify for RINs only for the volume of
biogas that has been gathered,
processed, and injected into a common
carrier pipeline:
(A) The gas that is ultimately
withdrawn from that pipeline for
transportation purposes is withdrawn in
a manner and at a time consistent with
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the transport of fuel between the
injection and withdrawal points; and
(B) The volume and heat content of
biogas injected into the pipeline and the
volume of gas used as transportation
fuel are measured by continuous
metering.
(iii) The fuel used for transportation
purposes is considered produced from
renewable biomass only to the extent
that:
(A) The amount of fuel used at the
transportation fueling facility matches
the amount of fuel derived from
renewable biomass that the producer
contracted to have placed into the
commercial distribution system; and
(B) No other party relied upon the
contracted volume of biogas for the
creation of RINs.
(iv) Electricity that is generated by cofiring a combination of renewable
biomass and fossil fuel may qualify for
RINs only for the portion attributable to
the renewable biomass, using the
procedure described in paragraph (f)(4)
of this section.
(12)(i) For purposes of Table 1 to this
section, process heat produced from
combustion of gas at a renewable fuel
facility is considered derived from
biomass if the gas used for process heat
is biogas, and is generated at the facility
or directly transported to the facility
and meets all of the following
conditions:
(A) The producer has entered into a
written contract for the procurement of
a specific volume of biogas with a
specific heat content.
(B) The volume of biogas was sold to
the renewable fuel production facility,
and to no other facility.
(C) The volume of biogas has been
gathered, processed and injected into a
common carrier pipeline and the gas
that is ultimately withdrawn from that
pipeline is withdrawn in a manner and
at a time consistent with the transport
of fuel between the injection and
withdrawal points.
(D) The volume and heat content of
biogas injected into the pipeline and the
volume of gas used as process heat are
measured by continuous metering.
(E) The common carrier pipeline into
which the biogas is placed ultimately
serves the producer’s renewable fuel
facility.
(ii) The process heat produced from
combustion of gas at a renewable fuel
facility described in (f)(12)(i) of this
section shall not be considered derived
from biomass if any other party relied
upon the contracted volume of biogas
for the creation of RINs.
§ 80.1427 How are RINs used to
demonstrate compliance?
(a) Renewable Volume Obligations.
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(1) Except as specified in paragraph
(b) of this section or § 80.1456, each
party that is an obligated party under
§ 80.1406 and is obligated to meet the
Renewable Volume Obligations under
§ 80.1407, or is an exporter of renewable
fuels that is obligated to meet
Renewable Volume Obligations under
§ 80.1430, must demonstrate pursuant to
§ 80.1451(a)(1) that it is retiring for
compliance purposes a sufficient
number of RINs to satisfy the following
equations:
(i) Cellulosic biofuel.
(SRINNUM)CB,i + (SRINNUM)CB,i¥1 =
RVOCB,i
Where:
(SRINNUM)CB,i = Sum of all owned gallonRINs that are valid for use in complying
with the cellulosic biofuel RVO, were
generated in year i, and are being applied
towards the RVOCB,i, in gallons.
(SRINNUM)CB,i-1 = Sum of all owned gallonRINs that are valid for use in complying
with the cellulosic biofuel RVO, were
generated in year i-1, and are being
applied towards the RVOCB,i, in gallons.
RVOCB,i = The Renewable Volume Obligation
for cellulosic biofuel for the obligated
party or renewable fuel exporter for
calendar year i, in gallons, pursuant to
§ 80.1407 or § 80.1430.
(ii) Biomass-based diesel. Use the
equation in this paragraph, except as
provided in paragraph (a)(7) of this
section.
(SRINNUM)BBD,i + (SRINNUM)BBD,i-1 =
RVOBBD,i
Where:
(SRINNUM)BBD,i = Sum of all owned gallonRINs that are valid for use in complying
with the biomass-based diesel RVO, were
generated in year i, and are being applied
towards the RVOBBD,i, in gallons.
(SRINNUM)BBD,i-1 = Sum of all owned gallonRINs that are valid for use in complying
with the biomass-based diesel RVO, were
generated in year i-1, and are being
applied towards the RVOBBD,i, in gallons.
RVOBBD,i = The Renewable Volume
Obligation for biomass-based diesel for
the obligated party or renewable fuel
exporter for calendar year i after 2010, in
gallons, pursuant to § 80.1407 or
§ 80.1430.
mstockstill on DSKH9S0YB1PROD with RULES2
(iii) Advanced biofuel.
(SRINNUM)AB,i + (SRINNUM)AB,i-1 =
RVOAB,i
Where:
(SRINNUM)AB,i = Sum of all owned gallonRINs that are valid for use in complying
with the advanced biofuel RVO, were
generated in year i, and are being applied
towards the RVOAB,i, in gallons.
(SRINNUM)AB,i-1 = Sum of all owned gallonRINs that are valid for use in complying
with the advanced biofuel RVO, were
generated in year i-1, and are being
applied towards the RVOAB,i, in gallons.
RVOAB,i = The Renewable Volume Obligation
for advanced biofuel for the obligated
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party or renewable fuel exporter for
calendar year i, in gallons, pursuant to
§ 80.1407 or § 80.1430.
(iv) Renewable fuel.
(SRINNUM)RF,i + (SRINNUM)RF,i-1 =
RVORF,i
Where:
(SRINNUM)RF,i = Sum of all owned gallonRINs that are valid for use in complying
with the renewable fuel RVO, were
generated in year i, and are being applied
towards the RVORF,i, in gallons.
(SRINNUM)RF,i-1 = Sum of all owned gallonRINs that are valid for use in complying
with the renewable fuel RVO, were
generated in year i-1, and are being
applied towards the RVORF,i, in gallons.
RVORF,i = The Renewable Volume Obligation
for renewable fuel for the obligated party
or renewable fuel exporter for calendar
year i, in gallons, pursuant to § 80.1407
or § 80.1430.
(2) Except as described in paragraph
(a)(4) of this section, RINs that are valid
for use in complying with each
Renewable Volume Obligation are
determined by their D codes.
(i) RINs with a D code of 3 or 7 are
valid for compliance with the cellulosic
biofuel RVO.
(ii) RINs with a D code of 4 or 7 are
valid for compliance with the biomassbased diesel RVO.
(iii) RINs with a D code of 3, 4, 5, or
7 are valid for compliance with the
advanced biofuel RVO.
(iv) RINs with a D code of 3, 4, 5, 6,
or 7 are valid for compliance with the
renewable fuel RVO.
(3)(i) Except as provided in paragraph
(a)(3)(ii) of this section, a party may use
the same RIN to demonstrate
compliance with more than one RVO so
long as it is valid for compliance with
all RVOs to which it is applied.
(ii) A cellulosic diesel RIN with a D
code of 7 cannot be used to demonstrate
compliance with both a cellulosic
biofuel RVO and a biomass-based diesel
RVO.
(4) Notwithstanding the requirements
of § 80.1428(c) or paragraph (a)(6)(i) of
this section, for purposes of
demonstrating compliance for calendar
years 2010 or 2011, RINs generated
pursuant to § 80.1126 that have not been
used for compliance purposes may be
used for compliance in 2010 or 2011, as
follows, insofar as permissible pursuant
to paragraphs (a)(5) and (a)(7)(iii) of this
section:
(i) A RIN generated pursuant to
§ 80.1126 with a D code of 2 and an RR
code of 15 or 17 is deemed equivalent
to a RIN generated pursuant to § 80.1426
having a D code of 4.
(ii) A RIN generated pursuant to
§ 80.1126 with a D code of 1 is deemed
equivalent to a RIN generated pursuant
to § 80.1426 having a D code of 3.
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14877
(iii) All other RINs generated pursuant
to § 80.1126 are deemed equivalent to
RINs generated pursuant to § 80.1426
having D codes of 6.
(iv) A RIN generated pursuant to
§ 80.1126 that was retired pursuant to
§ 80.1129(e) because the associated
volume of fuel was not used as motor
vehicle fuel may be reinstated for use in
complying with a 2010 RVO pursuant to
§ 80.1429(g).
(5) The value of (SRINNUM)i-1 may
not exceed values determined by the
following inequalities except as
provided in paragraph (a)(7)(iii) of this
section and § 80.1442(d):
(SRINNUM)CB,i-1 ≤ 0.20 * RVOCB,i
(SRINNUM)BBD,i-1 ≤ 0.20 * RVOBBD,i
(SRINNUM)AB,i-1 ≤ 0.20 * RVOAB,i
(SRINNUM)RF,i-1 ≤ 0.20 * RVORF,i
(6) Except as provided in paragraph
(a)(7) of this section:
(i) RINs may only be used to
demonstrate compliance with the RVOs
for the calendar year in which they were
generated or the following calendar
year.
(ii) RINs used to demonstrate
compliance in one year cannot be used
to demonstrate compliance in any other
year.
(7) Biomass-based diesel in 2010.
(i) Prior to determining compliance
with the 2010 biomass-based diesel
RVO, obligated parties may reduce the
value of RVOBBD,2010 by an amount
equal to the sum of all 2008 and 2009
RINs that they used for compliance
purposes for calendar year 2009 which
have a D code of 2 and an RR code of
15 or 17.
(ii) For calendar year 2010 only, the
following equation shall be used to
determine compliance with the
biomass-based diesel RVO instead of the
equation in paragraph (a)(1)(ii) of this
section:
(SRINNUM)BBD,2010 +
(SRINNUM)BBD,2009 +
(SRINNUM)BBD,2008 = RVOBBD,2010
Where:
(SRINNUM)BBD,2010 = Sum of all owned
gallon-RINs that are valid for use in
complying with the biomass-based diesel
RVO, were generated in year 2010, and
are being applied towards the
RVOBBD,2010, in gallons.
(SRINNUM)BBD,2009 = Sum of all owned
gallon-RINs that are valid for use in
complying with the biomass-based diesel
RVO, were generated in year 2009, have
not previously been used for compliance
purposes, and are being applied towards
the RVOBBD,2010, in gallons.
(SRINNUM)BBD,2008 = Sum of all owned
gallon-RINs that are valid for use in
complying with the biomass-based diesel
RVO, were generated in year 2008, have
not previously been used for compliance
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purposes, and are being applied towards
the RVOBBD,2010, in gallons.
RVOBBD,2010 = The Renewable Volume
Obligation for biomass-based diesel for
the obligated party for calendar year
2010, in gallons, pursuant to § 80.1407 or
§ 80.1430, as adjusted by paragraph
(a)(7)(i) of this section.
(iii) The values of (SRINNUM)2008 and
(SRINNUM)2009 may not exceed values
determined by both of the following
inequalities:
(SRINNUM)BBD,2008 ≤ 0.087 *
RVOBBD,2010
(SRINNUM)BBD,2008 +
(SRINNUM)BBD,2009 ≤ 0.20 *
RVOBBD,2010
(8) A party may only use a RIN for
purposes of meeting the requirements of
paragraph (a)(1) or (a)(7) of this section
if that RIN is a separated RIN with a K
code of 2 obtained in accordance with
§§ 80.1428 and 80.1429.
(9) The number of gallon-RINs
associated with a given batch-RIN that
can be used for compliance with the
RVOs shall be calculated from the
following formula:
RINNUM = EEEEEEEE ¥ SSSSSSSS +
1
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Where:
RINNUM = Number of gallon-RINs associated
with a batch-RIN, where each gallon-RIN
represents one gallon of renewable fuel
for compliance purposes.
EEEEEEEE = Batch-RIN component
identifying the last gallon-RIN associated
with the batch-RIN.
SSSSSSSS = Batch-RIN component
identifying the first gallon-RIN
associated with the batch-RIN.
(b) Deficit carryovers.
(1) An obligated party or an exporter
of renewable fuel that fails to meet the
requirements of paragraph (a)(1) or (a)(7)
of this section for calendar year i is
permitted to carry a deficit into year i+1
under the following conditions:
(i) The party did not carry a deficit
into calendar year i from calendar year
i-1 for the same RVO.
(ii) The party subsequently meets the
requirements of paragraph (a)(1) of this
section for calendar year i+1 and carries
no deficit into year i+2 for the same
RVO.
(iii) For compliance with the biomassbased diesel RVO in calendar year 2011,
the deficit which is carried over from
2010 is no larger than 57% of the party’s
2010 biomass-based diesel RVO as
determined prior to any adjustment
applied pursuant to paragraph (a)(7)(i)
of this section.
(iv) The party uses the same
compliance approach in year i+1 as it
did in year i, as provided in
§ 80.1406(c)(2).
(2) A deficit is calculated according to
the following formula:
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Di = RVOi ¥ [(SRINNUM)i +
(SRINNUM)i-1]
Where:
Di = The deficit, in gallons, generated in
calendar year i that must be carried over
to year i+1 if allowed pursuant to
paragraph (b)(1) of this section.
RVOi = The Renewable Volume Obligation
for the obligated party or renewable fuel
exporter for calendar year i, in gallons.
(SRINNUM)i = Sum of all acquired gallonRINs that were generated in year i and
are being applied towards the RVOi, in
gallons.
(SRINNUM)i-1 = Sum of all acquired gallonRINs that were generated in year i-1 and
are being applied towards the RVOi, in
gallons.
§ 80.1428 General requirements for RIN
distribution.
(a) RINs assigned to volumes of
renewable fuel.
(1) Assigned RIN, for the purposes of
this subpart, means a RIN assigned to a
volume of renewable fuel pursuant to
§ 80.1426(e) with a K code of 1.
(2) Except as provided in § 80.1429,
no person can separate a RIN that has
been assigned to a batch pursuant to
§ 80.1426(e).
(3) An assigned RIN cannot be
transferred to another person without
simultaneously transferring a volume of
renewable fuel to that same person.
(4) No more than 2.5 assigned gallonRINs with a K code of 1 can be
transferred to another person with every
gallon of renewable fuel transferred to
that same person.
(5)(i) On each of the dates listed in
paragraph (a)(5)(ii) of this section in any
calendar year, the following equation
must be satisfied for assigned RINs and
volumes of renewable fuel owned by a
person:
S(RIN)D ≤ S(Vsi * 2.5)D
Where:
D = Applicable date.
S(RIN)D = Sum of all assigned gallon-RINs
with a K code of 1 that are owned on
date D.
(Vsi)D = Volume i of renewable fuel owned on
date D, standardized to 60 °F, in gallons.
(ii) The applicable dates are March 31,
June 30, September 30, and December
31.
(6) Any transfer of ownership of
assigned RINs must be documented on
product transfer documents generated
pursuant to § 80.1453.
(i) The RIN must be recorded on the
product transfer document used to
transfer ownership of the volume of
renewable fuel to another person; or
(ii) The RIN must be recorded on a
separate product transfer document
transferred to the same person on the
same day as the product transfer
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document used to transfer ownership of
the volume of renewable fuel.
(b) RINs separated from volumes of
renewable fuel.
(1) Separated RIN, for the purposes of
this subpart, means a RIN with a K code
of 2 that has been separated from a
volume of renewable fuel pursuant to
§ 80.1429.
(2) Any person that has registered
pursuant to § 80.1450 can own a
separated RIN.
(3) Separated RINs can be transferred
any number of times.
(c) RIN expiration. Except as provided
in § 80.1427(a)(7), a RIN is valid for
compliance during the calendar year in
which it was generated, or the following
calendar year. Any RIN that is not used
for compliance purposes for the
calendar year in which it was generated,
or for the following calendar year, will
be considered an expired RIN. Pursuant
to § 80.1431(a), an expired RIN that is
used for compliance will be considered
an invalid RIN.
(d) Any batch-RIN can be divided into
multiple batch-RINs, each representing
a smaller number of gallon-RINs, if all
of the following conditions are met:
(1) All RIN components other than
SSSSSSSS and EEEEEEEE are identical
for the original parent and newly
formed daughter RINs.
(2) The sum of the gallon-RINs
associated with the multiple daughter
batch-RINs is equal to the gallon-RINs
associated with the parent batch-RIN.
§ 80.1429 Requirements for separating
RINs from volumes of renewable fuel.
(a)(1) Separation of a RIN from a
volume of renewable fuel means
termination of the assignment of the RIN
to a volume of renewable fuel.
(2) RINs that have been separated
from volumes of renewable fuel become
separated RINs subject to the provisions
of § 80.1428(b).
(b) A RIN that is assigned to a volume
of renewable fuel can be separated from
that volume only under one of the
following conditions:
(1) Except as provided in paragraphs
(b)(7) and (b)(9) of this section, a party
that is an obligated party according to
§ 80.1406 must separate any RINs that
have been assigned to a volume of
renewable fuel if that party owns that
volume.
(2) Except as provided in paragraph
(b)(6) of this section, any party that
owns a volume of renewable fuel must
separate any RINs that have been
assigned to that volume once the
volume is blended with gasoline or
diesel to produce a transportation fuel,
heating oil, or jet fuel. A party may
separate up to 2.5 RINs per gallon of
blended renewable fuel.
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(3) Any party that exports a volume of
renewable fuel must separate any RINs
that have been assigned to the exported
volume. A party may separate up to 2.5
RINs per gallon of exported renewable
fuel.
(4) Any party that produces, imports,
owns, sells, or uses a volume of neat
renewable fuel, or a blend of renewable
fuel and diesel fuel, must separate any
RINs that have been assigned to that
volume of neat renewable fuel or that
blend if:
(i) The party designates the neat
renewable fuel or blend as
transportation fuel, heating oil, or jet
fuel; and
(ii) The neat renewable fuel or blend
is used without further blending, in the
designated form, as transportation fuel,
heating oil, or jet fuel.
(5) Any party that produces, imports,
owns, sells, or uses a volume of
electricity or biogas for which RINs have
been generated in accordance with
§ 80.1426(f) must separate any RINs that
have been assigned to that volume of
renewable electricity or biogas if:
(i) The party designates the electricity
or biogas as transportation fuel; and
(ii) The electricity or biogas is used as
transportation fuel.
(6) RINs assigned to a volume of
biodiesel (mono-alkyl ester) can only be
separated from that volume pursuant to
paragraph (b)(2) of this section if such
biodiesel is blended into diesel fuel at
a concentration of 80 volume percent
biodiesel (mono-alkyl ester) or less.
(i) This paragraph (b)(6) shall not
apply to biodiesel owned by obligated
parties or to exported volumes of
biodiesel.
(ii) This paragraph (b)(6) shall not
apply to parties meeting the
requirements of paragraph (b)(4) of this
section.
(7) For RINs that an obligated party
generates for renewable fuel that has not
been blended into gasoline or diesel to
produce a transportation fuel, heating
oil, or jet fuel, the obligated party can
only separate such RINs from volumes
of renewable fuel if the number of
gallon-RINs separated in a calendar year
are less than or equal to a limit set as
follows:
(i) For RINs with a D code of 3, the
limit shall be equal to RVOCB.
(ii) For RINs with a D code of 4, the
limit shall be equal to RVOBBD.
(iii) For RINs with a D code of 7, the
limit shall be equal to the larger of
RVOBBD or RVOCB.
(iv) For RINs with a D code of 5, the
limit shall be equal to
RVOAB¥RVOCB¥RVOBBD.
(v) For RINs with a D code of 6, the
limit shall be equal to RVORF¥RVOAB.
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Jkt 220001
(8) Small refiners and small refineries
may only separate RINs that have been
assigned to volumes of renewable fuel
that the party blends into gasoline or
diesel to produce transportation fuel,
heating oil, or jet fuel, or that the party
used as transportation fuel, heating oil,
or jet fuel. This paragraph (b)(8) shall
apply only under the following
conditions:
(i) During the calendar year in which
the party has received a small refinery
exemption under § 80.1441 or a small
refiner exemption under § 80.1442; and
(ii) The party is not otherwise an
obligated party during the period of
time that the small refinery or small
refiner exemption is in effect.
(9) Except as provided in paragraphs
(b)(2) through (b)(5) and (b)(8) of this
section, RINs owned by obligated
parties whose non-export renewable
volume obligations are solely related to
the addition of blendstocks into a
volume of finished gasoline, finished
diesel fuel, RBOB, or CBOB, can only be
separated from volumes of renewable
fuel if the number of gallon-RINs
separated in a calendar year are less
than or equal to a limit set as follows:
(i) For RINs with a D code of 3, the
limit shall be equal to RVOCB.
(ii) For RINs with a D code of 4, the
limit shall be equal to RVOBBD.
(iii) For RINs with a D code of 7, the
limit shall be equal to the larger of
RVOBBD or RVOCB.
(iv) For RINs with a D code of 5, the
limit shall be equal to
RVOAB¥RVOCB¥RVOBBD.
(v) For RINs with a D code of 6, the
limit shall be equal to RVORF¥RVOAB.
(c) The party responsible for
separating a RIN from a volume of
renewable fuel shall change the K code
in the RIN from a value of 1 to a value
of 2 prior to transferring the RIN to any
other party.
(d) Upon and after separation of a RIN
from its associated volume of renewable
fuel, the separated RIN must be
accompanied by documentation when
transferred to another party pursuant to
§ 80.1453.
(e) Upon and after separation of a RIN
from its associated volume of renewable
fuel, product transfer documents used to
transfer ownership of the volume must
meet the requirements of § 80.1453.
(f) Any party that uses a renewable
fuel in any application that is not
transportation fuel, heating oil, or jet
fuel, or designates a renewable fuel for
use as something other than
transportation fuel, heating oil, or jet
fuel, must retire any RINs received with
that renewable fuel and report the
retired RINs in the applicable reports
under § 80.1451.
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14879
(g) Any 2009 RINs retired pursuant to
§ 80.1129 because renewable fuel was
used in a non-motor vehicle application,
heating oil, or jet fuel may be reinstated
by the retiring party for sale or use to
demonstrate compliance with a 2010
RVO.
§ 80.1430 Requirements for exporters of
renewable fuels.
(a) Any party that owns any amount
of renewable fuel, whether in its neat
form or blended with gasoline or diesel,
that is exported from any of the regions
described in § 80.1426(b) shall acquire
sufficient RINs to comply with all
applicable Renewable Volume
Obligations under paragraph (b) of this
section representing the exported
renewable fuel.
(b) Renewable Volume Obligations.
An exporter of renewable fuel shall
determine its Renewable Volume
Obligations from the volumes of the
renewable fuel exported.
(1) Cellulosic biofuel.
RVOCB,i = S(VOLk * EVk)i + DCB,i-1
Where:
RVOCB,i = The Renewable Volume Obligation
for cellulosic biofuel for the exporter for
calendar year i, in gallons.
k = A discrete volume of exported renewable
fuel.
VOLk = The standardized volume of discrete
volume k of exported renewable fuel that
the exporter knows or has reason to
know is cellulosic biofuel, in gallons,
calculated in accordance with
§ 80.1426(f)(8).
EVk = The equivalence value associated with
discrete volume k.
S = Sum involving all volumes of cellulosic
biofuel exported.
DCB,i-1 = Deficit carryover from the
previous year for cellulosic biofuel, in
gallons.
(2) Biomass-based diesel.
RVOBBD,i = S(VOLk * EVk)i + DBBD,i-1
Where:
RVOBBD,i = The Renewable Volume
Obligation for biomass-based diesel for
the exporter for calendar year i, in
gallons.
k = A discrete volume of exported renewable
fuel.
VOLk = The standardized volume of discrete
volume k of exported renewable fuel that
is biodiesel or renewable diesel, or that
the exporter knows or has reason to
know is biomass-based diesel, in gallons,
calculated in accordance with
§ 80.1426(f)(8).
EVk = The equivalence value associated with
discrete volume k.
S = Sum involving all volumes of biomassbased diesel exported.
DBBD,i-1 = Deficit carryover from the previous
year for biomass-based diesel, in gallons.
(3) Advanced biofuel.
RVOAB,i = S(VOLk * EVk)i + DAB,i-1
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Where:
RVOAB,i = The Renewable Volume Obligation
for advanced biofuel for the exporter for
calendar year i, in gallons.
k = A discrete volume of exported renewable
fuel.
VOLk = The standardized volume of discrete
volume k of exported renewable fuel that
is biodiesel or renewable diesel, or that
the exporter knows or has reason to
know is biomass-based diesel, cellulosic
biofuel, or advanced biofuel, in gallons,
calculated in accordance with
§ 80.1426(f)(8).
EVk = The equivalence value associated with
discrete volume k.
S = Sum involving all volumes of advanced
biofuel exported.
DAB,i-1 = Deficit carryover from the previous
year for advanced biofuel, in gallons.
(4) Renewable fuel.
RVORF,i = S(VOLk * EVk)i + DRF,i-1
mstockstill on DSKH9S0YB1PROD with RULES2
Where:
RVORF,i = The Renewable Volume Obligation
for renewable fuel for the exporter for
calendar year i, in gallons.
k = A discrete volume of exported renewable
fuel.
VOLk = The standardized volume of discrete
volume k of any exported renewable
fuel, in gallons, calculated in accordance
with § 80.1426(f)(8).
EVk = The equivalence value associated with
discrete volume k.
S = Sum involving all volumes of renewable
fuel exported.
DRF,i-1 = Deficit carryover from the previous
year for renewable fuel, in gallons.
(c) If the exporter knows or has reason
to know that a volume of exported
renewable fuel is cellulosic diesel, he
must treat the exported volume as either
cellulosic biofuel or biomass-based
diesel when determining his Renewable
Volume Obligations pursuant to
paragraph (b) of this section.
(d) For the purposes of calculating the
Renewable Volume Obligations:
(1) If the equivalence value for a
volume of exported renewable fuel can
be determined pursuant to § 80.1415
based on its composition, then the
appropriate equivalence value shall be
used in the calculation of the exporter’s
Renewable Volume Obligations under
paragraph (b) of this section.
(2) If the category of the exported
renewable fuel is known to be biomassbased diesel but the composition is
unknown, the value of EVk shall be 1.5.
(3) If neither the category nor
composition of a volume of exported
renewable fuel can be determined, the
value of EVk shall be 1.0.
(e) For renewable fuels that are in the
form of a blend with gasoline or diesel
at the time of export, the exporter shall
determine the volume of exported
renewable fuel based on one of the
following:
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Jkt 220001
(1) Information from the supplier of
the blend of the concentration of
renewable fuel in the blend.
(2) Determination of the renewable
portion of the blend using Method B or
Method C of ASTM D 6866
(incorporated by reference, see
§ 80.1468), or an alternative test method
as approved by the EPA.
(3) Assuming the maximum
concentration of the renewable fuel in
the blend as allowed by law and/or
regulation.
(f) Each exporter of renewable fuel
must demonstrate compliance with its
RVOs pursuant to § 80.1427.
§ 80.1431
Treatment of invalid RINs.
(a) Invalid RINs.
(1) An invalid RIN is a RIN that is any
of the following:
(i) A duplicate of a valid RIN.
(ii) Was based on incorrect volumes or
volumes that have not been
standardized to 60 °F.
(iii) Has expired, as provided in
§ 80.1428(c).
(iv) Was based on an incorrect
equivalence value.
(v) Deemed invalid under
§ 80.1467(g).
(vi) Does not represent renewable fuel
as defined in § 80.1401.
(vii) Was assigned an incorrect ‘‘D’’
code value under § 80.1426(f) for the
associated volume of fuel.
(viii) Was improperly separated
pursuant to § 80.1429.
(ix) Was otherwise improperly
generated.
(2) In the event that the same RIN is
transferred to two or more parties, all
such RINs are deemed invalid, unless
EPA in its sole discretion determines
that some portion of these RINs is valid.
(b) In the case of RINs that are invalid,
the following provisions apply:
(1) Upon determination by any party
that RINs owned are invalid, the party
must keep copies and adjust its records,
reports, and compliance calculations in
which the invalid RINs were used. The
party must retire the invalid RINs in the
applicable RIN transaction reports
under § 80.1451(c)(2) for the quarter in
which the RINs were determined to be
invalid.
(2) Invalid RINs cannot be used to
achieve compliance with the Renewable
Volume Obligations of an obligated
party or exporter, regardless of the
party’s good faith belief that the RINs
were valid at the time they were
acquired.
(3) Any valid RINs remaining after
invalid RINs are retired must first be
applied to correct the transfer of invalid
RINs to another party before applying
the valid RINs to meet the party’s
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Renewable Volume Obligations at the
end of the compliance year.
§ 80.1432 Reported spillage or disposal of
renewable fuel.
(a) A reported spillage or disposal
under this subpart means a spillage or
disposal of renewable fuel associated
with a requirement by a federal, state, or
local authority to report the spillage or
disposal.
(b) Except as provided in paragraph
(c) of this section, in the event of a
reported spillage or disposal of any
volume of renewable fuel, the owner of
the renewable fuel must retire a number
of RINs corresponding to the volume of
spilled or disposed of renewable fuel
multiplied by its equivalence value.
(1) If the equivalence value for the
spilled or disposed of volume may be
determined pursuant to § 80.1415 based
on its composition, then the appropriate
equivalence value shall be used.
(2) If the equivalence value for a
spilled or disposed of volume of
renewable fuel cannot be determined,
the equivalence value shall be 1.0.
(c) If the owner of a volume of
renewable fuel that is spilled or
disposed of and reported establishes
that no RINs were generated to represent
the volume, then no RINs shall be
retired.
(d) A RIN that is retired under
paragraph (b) of this section:
(1) Must be reported as a retired RIN
in the applicable reports under
§ 80.1451.
(2) May not be transferred to another
person or used by any obligated party to
demonstrate compliance with the
party’s Renewable Volume Obligations.
§§ 80.1433–80.1439
[Reserved]
§ 80.1440 What are the provisions for
blenders who handle and blend less than
125,000 gallons of renewable fuel per year?
(a) Renewable fuel blenders who
handle and blend less than 125,000
gallons of renewable fuel per year, and
who do not have Renewable Volume
Obligations, are permitted to delegate
their RIN-related responsibilities to the
party directly upstream of them who
supplied the renewable fuel for
blending.
(b) The RIN-related responsibilities
that may be delegated directly upstream
include all of the following:
(1) The RIN separation requirements
of § 80.1429.
(2) The reporting requirements of
§ 80.1451.
(3) The recordkeeping requirements of
§ 80.1454.
(4) The attest engagement
requirements of § 80.1464.
(c) For upstream delegation of RINrelated responsibilities, both parties
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must agree on the delegation, and a
quarterly written statement signed by
both parties must be included with the
reporting party’s reports under
§ 80.1451.
(1) Both parties must keep copies of
the signed quarterly written statement
agreeing to the upward delegation for 5
years.
(2) Parties delegating their RIN
responsibilities upward shall keep
copies of their registration forms as
submitted to EPA.
(3) If EPA finds that a renewable fuel
blender improperly delegated its RINrelated responsibilities under this
subpart M, the blender will be held
accountable for any RINs separated and
will be subject to all RIN-related
responsibilities under this subpart.
(d) Renewable fuel blenders who
handle and blend less than 125,000
gallons of renewable fuel per year and
delegate their RIN-related
responsibilities under paragraph (b) of
this section must register pursuant to
§ 80.1450(e).
(e) Renewable fuel blenders who
handle and blend less than 125,000
gallons of renewable fuel per year and
who do not opt to delegate their RINrelated responsibilities will be subject to
all requirements stated in paragraph (b)
of this section, and all other applicable
requirements of this subpart M.
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§ 80.1441
Small refinery exemption.
(a)(1) Transportation fuel produced at
a refinery by a refiner, or foreign refiner
(as defined at § 80.1465(a)), is exempt
from January 1, 2010 through December
31, 2010 from the renewable fuel
standards of § 80.1405, and the owner or
operator of the refinery, or foreign
refinery, is exempt from the
requirements that apply to obligated
parties under this subpart M for fuel
produced at the refinery if the refinery
meets the definition of a small refinery
under § 80.1401 for calendar year 2006.
(2) The exemption of paragraph (a)(1)
of this section shall apply unless a
refiner chooses to waive this exemption
(as described in paragraph (f) of this
section), or the exemption is extended
(as described in paragraph (e) of this
section).
(3) For the purposes of this section,
the term ‘‘refiner’’ shall include foreign
refiners.
(4) This exemption shall only apply to
refineries that process crude oil through
refinery processing units.
(5) The small refinery exemption is
effective immediately, except as
specified in paragraph (b)(3) of this
section.
(6) Refiners who own refineries that
qualified as small under 40 CFR 80.1141
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do not need to resubmit a small refinery
verification letter under this subpart M.
This paragraph (a) does not supersede
§ 80.1141.
(b)(1) A refiner owning a small
refinery must submit a verification letter
to EPA containing all of the following
information:
(i) The annual average aggregate daily
crude oil throughput for the period
January 1, 2006 through December 31,
2006 (as determined by dividing the
aggregate throughput for the calendar
year by the number 365).
(ii) A letter signed by the president,
chief operating or chief executive officer
of the company, or his/her designee,
stating that the information contained in
the letter is true to the best of his/her
knowledge, and that the refinery was
small as of December 31, 2006.
(iii) Name, address, phone number,
facsimile number, and e-mail address of
a corporate contact person.
(2) Verification letters must be
submitted by July 1, 2010 to one of the
addresses listed in paragraph (h) of this
section.
(3) For foreign refiners the small
refinery exemption shall be effective
upon approval, by EPA, of a small
refinery application. The application
must contain all of the elements
required for small refinery verification
letters (as specified in paragraph (b)(1)
of this section), must satisfy the
provisions of § 80.1465(f) through (i)
and (o), and must be submitted by July
1, 2010 to one of the addresses listed in
paragraph (h) of this section.
(4) Small refinery verification letters
are not required for those refiners who
have already submitted a complete
verification letter under subpart K of
this part 80. Verification letters
submitted under subpart K prior to July
1, 2010 that satisfy the requirements of
subpart K shall be deemed to satisfy the
requirements for verification letters
under this subpart M.
(c) If EPA finds that a refiner provided
false or inaccurate information
regarding a refinery’s crude throughput
(pursuant to paragraph (b)(1)(i) of this
section) in its small refinery verification
letter, the exemption will be void as of
the effective date of these regulations.
(d) If a refiner is complying on an
aggregate basis for multiple refineries,
any such refiner may exclude from the
calculation of its Renewable Volume
Obligations (under § 80.1407)
transportation fuel from any refinery
receiving the small refinery exemption
under paragraph (a) of this section.
(e)(1) The exemption period in
paragraph (a) of this section shall be
extended by the Administrator for a
period of not less than two additional
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years if a study by the Secretary of
Energy determines that compliance with
the requirements of this subpart would
impose a disproportionate economic
hardship on a small refinery.
(2) A refiner may petition the
Administrator for an extension of its
small refinery exemption, based on
disproportionate economic hardship, at
any time.
(i) A petition for an extension of the
small refinery exemption must specify
the factors that demonstrate a
disproportionate economic hardship
and must provide a detailed discussion
regarding the hardship the refinery
would face in producing transportation
fuel meeting the requirements of
§ 80.1405 and the date the refiner
anticipates that compliance with the
requirements can reasonably be
achieved at the small refinery.
(ii) The Administrator shall act on
such a petition not later than 90 days
after the date of receipt of the petition.
(f) At any time, a refiner with a small
refinery exemption under paragraph (a)
of this section may waive that
exemption upon notification to EPA.
(1) A refiner’s notice to EPA that it
intends to waive its small refinery
exemption must be received by
November 1 to be effective in the next
compliance year.
(2) The waiver will be effective
beginning on January 1 of the following
calendar year, at which point the
transportation fuel produced at that
refinery will be subject to the renewable
fuels standard of § 80.1405 and the
owner or operator of the refinery shall
be subject to all other requirements that
apply to obligated parties under this
Subpart M.
(3) The waiver notice must be sent to
EPA at one of the addresses listed in
paragraph (h) of this section.
(g) A refiner that acquires a refinery
from either an approved small refiner
(as defined under § 80.1442(a)) or
another refiner with an approved small
refinery exemption under paragraph (a)
of this section shall notify EPA in
writing no later than 20 days following
the acquisition.
(h) Verification letters under
paragraph (b) of this section, petitions
for small refinery hardship extensions
under paragraph (e) of this section, and
small refinery exemption waiver notices
under paragraph (f) of this section shall
be sent to one of the following
addresses:
(1) For US mail: U.S. EPA, Attn: RFS
Program, 6406J, 1200 Pennsylvania
Avenue, NW., Washington, DC 20460.
(2) For overnight or courier services:
U.S. EPA, Attn: RFS Program, 6406J,
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Washington, DC 20005. (202) 343–9038.
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§ 80.1442 What are the provisions for
small refiners under the RFS program?
(a)(1) To qualify as a small refiner
under this section, a refiner must meet
all of the following criteria:
(i) The refiner produced
transportation fuel at its refineries by
processing crude oil through refinery
processing units from January 1, 2006
through December 31, 2006.
(ii) The refiner employed an average
of no more than 1,500 people, based on
the average number of employees for all
pay periods for calendar year 2006 for
all subsidiary companies, all parent
companies, all subsidiaries of the parent
companies, and all joint venture
partners.
(iii) The refiner had a corporateaverage crude oil capacity less than or
equal to 155,000 barrels per calendar
day (bpcd) for 2006.
(2) For the purposes of this section,
the term ‘‘refiner’’ shall include foreign
refiners.
(3) Refiners who qualified as small
under 40 CFR 80.1142 do not need to
reapply for small refiner status under
this subpart M. This paragraph (a) does
not supersede § 80.1142.
(b)(1) The small refiner exemption is
effective immediately, except as
provided in paragraph (b)(5) of this
section.
(2) Refiners who qualify for the small
refiner exemption under paragraph (a)
of this section must submit a
verification letter (and any other
relevant information) to EPA by July 1,
2010. The small refiner verification
letter must include all of the following
information for the refiner and for all
subsidiary companies, all parent
companies, all subsidiaries of the parent
companies, and all joint venture
partners:
(i) A listing of the name and address
of each company location where any
employee worked for the period January
1, 2006 through December 31, 2006.
(ii) The average number of employees
at each location based on the number of
employees for each pay period for the
period January 1, 2006 through
December 31, 2006.
(iii) The type of business activities
carried out at each location.
(iv) For joint ventures, the total
number of employees includes the
combined employee count of all
corporate entities in the venture.
(v) For government-owned refiners,
the total employee count includes all
government employees.
(vi) The total corporate crude oil
capacity of each refinery as reported to
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the Energy Information Administration
(EIA) of the U.S. Department of Energy
(DOE), for the period January 1, 2006
through December 31, 2006. The
information submitted to EIA is
presumed to be correct. In cases where
a company disagrees with this
information, the company may petition
EPA with appropriate data to correct the
record when the company submits its
application.
(vii) The verification letter must be
signed by the president, chief operating
or chief executive officer of the
company, or his/her designee, stating
that the information is true to the best
of his/her knowledge, and that the
company owned the refinery as of
December 31, 2006.
(viii) Name, address, phone number,
facsimile number, and e-mail address of
a corporate contact person.
(3) In the case of a refiner who
acquires or reactivates a refinery that
was shutdown or non-operational
between January 1, 2005 and January 1,
2006, the information required in
paragraph (b)(2) of this section must be
provided for the time period since the
refiner acquired or reactivated the
refinery.
(4) EPA will notify a refiner of its
approval or disapproval of the
application for small refiner status by
letter.
(5) For foreign refiners the small
refiner exemption shall be effective
upon approval, by EPA, of a small
refiner application. The application
must contain all of the elements
required for small refiner verification
letters (as specified in paragraph (b)(2)
of this section), must satisfy the
provisions of § 80.1465(f) through (h)
and (o), must demonstrate compliance
with the crude oil capacity criterion of
paragraph (a)(1)(iii) of this section, and
must be submitted by July 1, 2010 to
one of the addresses listed in paragraph
(i) of this section.
(6) Small refiner verification letters
submitted under subpart K (§ 80.1142)
prior to July 1, 2010 that satisfy the
requirements of subpart K shall be
deemed to satisfy the requirements for
small refiner verification letters under
this subpart M.
(c) Small refiner temporary
exemption.
(1) Transportation fuel produced by
an approved small refiner, or foreign
small refiner (as defined at § 80.1465(a)),
is exempt from January 1, 2010 through
December 31, 2010 from the renewable
fuel standards of § 80.1405 and the
requirements that apply to obligated
parties under this subpart if the refiner
or foreign refiner meets all the criteria
of paragraph (a)(1) of this section.
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(2) The small refiner exemption shall
apply to an approved small refiner
unless that refiner chooses to waive this
exemption (as described in paragraph
(d) of this section).
(d)(1) A refiner with approved small
refiner status may, at any time, waive
the small refiner exemption under
paragraph (c) of this section upon
notification to EPA.
(2) A refiner’s notice to EPA that it
intends to waive the small refiner
exemption must be received by
November 1 of a given year in order for
the waiver to be effective for the
following calendar year. The waiver will
be effective beginning on January 1 of
the following calendar year, at which
point the refiner will be subject to the
renewable fuel standards of § 80.1405
and the requirements that apply to
obligated parties under this subpart.
(3) The waiver must be sent to EPA
at one of the addresses listed in
paragraph (i) of this section.
(e) Refiners who qualify as small
refiners under this section and
subsequently fail to meet all of the
qualifying criteria as set out in
paragraph (a) of this section are
disqualified as small refiners of January
1 of the next calendar year, except as
provided under paragraphs (d) and
(e)(2) of this section.
(1) In the event such disqualification
occurs, the refiner shall notify EPA in
writing no later than 20 days following
the disqualifying event.
(2) Disqualification under this
paragraph (e) shall not apply in the case
of a merger between two approved small
refiners.
(f) If EPA finds that a refiner provided
false or inaccurate information in its
small refiner status verification letter
under this subpart M, the refiner will be
disqualified as a small refiner as of the
effective date of this subpart.
(g) Any refiner that acquires a refinery
from another refiner with approved
small refiner status under paragraph (a)
of this section shall notify EPA in
writing no later than 20 days following
the acquisition.
(h) Extensions of the small refiner
temporary exemption.
(1) A small refiner may apply for an
extension of the temporary exemption of
paragraph (c)(1) of this section based on
a showing of all the following:
(i) Circumstances exist that impose
disproportionate economic hardship on
the refiner and significantly affects the
refiner’s ability to comply with the RFS
standards.
(ii) The refiner has made best efforts
to comply with the requirements of this
subpart.
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(2) A refiner must apply, and be
approved, for small refiner status under
this section.
(3) A small refiner’s hardship
application must include all the
following information:
(i) A plan demonstrating how the
refiner will comply with the
requirements of § 80.1405 (and all other
requirements of this subpart applicable
to obligated parties), as expeditiously as
possible.
(ii) A detailed description of the
refinery configuration and operations
including, at a minimum, all the
following information:
(A) The refinery’s total crude
capacity.
(B) Total crude capacity of any other
refineries owned by the same entity.
(C) Total volume of gasoline and
diesel produced at the refinery.
(D) Detailed descriptions of efforts to
comply.
(E) Bond rating of the entity that owns
the refinery.
(F) Estimated investment needed to
comply with the requirements of this
subpart M.
(4) A small refiner shall notify EPA in
writing of any changes to its situation
between approval of the extension
application and the end of its approved
extension period.
(5) EPA may impose reasonable
conditions on extensions of the
temporary exemption, including
reducing the length of such an
extension, if conditions or situations
change between approval of the
application and the end of the approved
extension period.
(i) Small refiner status verification
letters, small refiner exemption waivers,
or applications for extensions of the
small refiner temporary exemption
under this section must be sent to one
of the following addresses:
(1) For US Mail: U.S. EPA, Attn: RFS
Program, 6406J, 1200 Pennsylvania
Avenue, NW., Washington, DC 20460.
(2) For overnight or courier services:
U.S. EPA, Attn: RFS Program, 6406J,
1310 L Street, NW., 6th floor,
Washington, DC 20005. (202) 343–9038.
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§ 80.1443 What are the opt-in provisions
for noncontiguous states and territories?
(a) Alaska or a United States territory
may petition the Administrator to optin to the program requirements of this
subpart.
(b) The Administrator will approve
the petition if it meets the provisions of
paragraphs (c) and (d) of this section.
(c) The petition must be signed by the
Governor of the state or his authorized
representative (or the equivalent official
of the territory).
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(d)(1) A petition submitted under this
section must be received by EPA by
November 1 for the state or territory to
be included in the RFS program in the
next calendar year.
(2) A petition submitted under this
section should be sent to either of the
following addresses:
(i) For US Mail: U.S. EPA, Attn: RFS
Program, 6406J, 1200 Pennsylvania
Avenue, NW., Washington, DC 20460.
(ii) For overnight or courier services:
U.S. EPA, Attn: RFS Program, 6406J,
1310 L Street, NW., 6th floor,
Washington, DC 20005. (202) 343–9038.
(e) Upon approval of the petition by
the Administrator:
(1) EPA shall calculate the standards
for the following year, including the
total gasoline and diesel fuel volume for
the state or territory in question.
(2) Beginning on January 1 of the next
calendar year, all gasoline and diesel
fuel refiners and importers in the state
or territory for which a petition has been
approved shall be obligated parties as
defined in § 80.1406.
(3) Beginning on January 1 of the next
calendar year, all renewable fuel
producers in the state or territory for
which a petition has been approved
shall, pursuant to § 80.1426(a)(2), be
required to generate RINs and comply
with other requirements of this subpart
M that are applicable to producers of
renewable fuel.
§§ 80.1444–80.1448
[Reserved]
§ 80.1449 What are the Production Outlook
Report requirements?
(a) A registered renewable fuel
producer or importer, for each of its
facilities, must submit all of the
following information, as applicable, to
EPA by March 31 of each year
(September 1 for the report due in
2010):
(1) The type, or types, of renewable
fuel expected to be produced or
imported at each facility owned by the
renewable fuel producer or importer.
(2) The volume of each type of
renewable fuel expected to be produced
or imported at each facility.
(3) The number of RINs expected to be
generated by the renewable fuel
producer or importer for each type of
renewable fuel.
(4) Information about all the
following:
(i) Existing and planned production
capacity.
(ii) Long-range plans for expansion of
production capacity at existing facilities
or construction of new facilities.
(iii) Feedstocks and production
processes to be used at each production
facility.
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(iv) Changes to the facility that would
raise or lower emissions of any
greenhouse gases from the facility.
(5) For expanded production capacity
that is planned or underway at each
existing facility, or new production
facilities that are planned or underway,
information on all the following, as
available:
(i) Strategic planning.
(ii) Planning and front-end
engineering.
(iii) Detailed engineering and
permitting.
(iv) Procurement and construction.
(v) Commissioning and startup.
(6) Whether capital commitments
have been made or are projected to be
made.
(b) The information listed in
paragraph (a) of this section shall
include the reporting party’s best
estimates for the five following calendar
years.
(c) Production outlook reports must
provide an update of the progress in
each of the areas listed in paragraph (a)
of this section in comparison to
information provided in previous year
production outlook reports.
(d) Production outlook reports shall
be sent to one of the following
addresses:
(1) For U.S. Mail: U.S. EPA, Attn: RFS
Program—Production Outlook Reports,
6406J, 1200 Pennsylvania Avenue, NW.,
Washington, DC 20460.
(2) For overnight or courier services:
U.S. EPA, Attn: RFS Program—
Production Outlook Reports, 6406J,
1310 L Street, NW., 6th floor,
Washington, DC 20005; (202) 343–9038.
(e) All production outlook reports
required under this section shall be
submitted on forms and following
procedures prescribed by the
Administrator.
§ 80.1450 What are the registration
requirements under the RFS program?
(a) Obligated Parties and Exporters.
Any obligated party described in
§ 80.1406, and any exporter of
renewable fuel described in § 80.1430,
must provide EPA with the information
specified for registration under § 80.76,
if such information has not already been
provided under the provisions of this
part. An obligated party or an exporter
of renewable fuel must receive EPAissued identification numbers prior to
engaging in any transaction involving
RINs. Registration information may be
submitted to EPA at any time after
publication of this rule in the Federal
Register, but must be submitted and
accepted by EPA by July 1, 2010, or 60
days prior to RIN ownership, whichever
date comes later.
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(b) Producers. Any RIN-generating
foreign or domestic producer of
renewable fuel or any foreign producer
that sells renewable fuel for RIN
generation by a United States importer
must provide EPA the information
specified under § 80.76 if such
information has not already been
provided under the provisions of this
part, and must receive EPA-issued
company and facility identification
numbers prior to the generation of any
RINs for their fuel. All the following
registration information may be
submitted to EPA at any time after
promulgation of this rule in the Federal
Register, but must be submitted and
accepted by EPA by July 1, 2010, or 60
days prior to the generation of RINs,
whichever date comes later, subject to
this subpart:
(1) A description of the types of
renewable fuels that the producer
intends to produce at the facility and
that the facility is capable of producing
without significant modifications to the
existing facility. For each type of
renewable fuel, the renewable fuel
producer shall also provide all the
following:
(i) A list of all the feedstocks the
facility is capable of utilizing without
significant modification to the existing
facility.
(ii) A description of the facility’s
renewable fuel production processes.
(iii) The type of co-products produced
with each type of renewable fuel.
(iv) A list of the facility’s process
energy fuel types and locations from
which the fuel was produced or
extracted.
(v) For facilities described in
§ 80.1403(c) and (d):
(A) The facility’s baseline volume as
defined in § 80.1403(a)(1).
(B) The facility’s renewable fuel
production capacity as specified in
applicable air permits issued by the U.S.
Environmental Protection Agency, state,
local air pollution control agencies, or
foreign governmental agencies and that
govern the construction and/or
operation of the renewable fuel facility:
(1) Issued or revised no later than
December 19, 2007 for facilities
described in § 80.1403(c).
(2) Issued or revised no later than
December 31, 2009 for facilities
described in § 80.1403(d).
(C) Copies of applicable air permits
issued by the U.S. Environmental
Protection Agency, state, local air
pollution control agencies, or foreign
governmental agencies, that provide
evidence that such permits were issued
prior to December 19, 2007 for facilities
described in § 80.1403(c), and prior to
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December 31, 2009 for facilities
described in § 80.1403(d).
(D) Copies of documents
demonstrating the facility’s actual peak
capacity as defined in § 80.1401(a)(3) if
the maximum rated annual volume
output of renewable fuel is not specified
in any applicable air permits issued by
the U.S. Environmental Protection
Agency, state, local air pollution control
agencies, or foreign governmental
agencies.
(E) The date that construction
commences, along with evidence
demonstrating that construction
commenced as defined in
§ 80.1403(a)(4) including, but not
limited to, contracts with construction
and other companies.
(vi) Records relevant to generation of
RINs from:
(A) Producers providing biogas, or
renewable electricity to transportation
fueling facilities as described in
§ 80.1426(f)(10);
(B) Producers providing biogas, or
renewable electricity to transportation
fueling facilities via commercial
distribution systems as described in
§ 80.1426(f)(11); and
(C) Producers using biogas for process
heat in the production of renewable fuel
as described in § 80.1426(f)(12).
(vii)(A) For a producer of renewable
fuel made from separated yard waste per
§ 80.1426(f)(5)(i)(A):
(1) The location of any municipal
waste facility or other facility from
which the waste stream consisting
solely of separated yard waste is
collected; and
(2) A plan documenting how the
waste will be collected and for ongoing
verification that such waste consists
only of yard waste and kept separate
since generation from other waste
materials, and incidental other
components (e.g., paper and plastics).
(B) For a producer of renewable fuel
made from separated food waste per
§ 80.1426(f)(5)(i)(B):
(1) The location of any municipal
waste facility or other facility from
which the waste stream consisting
solely of separated food waste is
collected; and
(2) A plan documenting how the
waste will be collected, how the
cellulosic and non-cellulosic portions of
the waste will be quantified, and for
ongoing verification that such waste
consists only of food waste kept
separate since generation from other
waste materials, containing only
incidental other components (e.g., paper
and plastics).
(viii) For a producer of renewable fuel
made from separated municipal solid
waste per § 80.1426(f)(5)(i)(C):
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(A) The location of the municipal
waste facility from which the separated
food and yard waste is collected.
(B) A plan providing ongoing
verification that there is separation of
recyclable paper, cardboard, plastics,
rubber, textiles, metals, and glass wastes
to the extent reasonably practicable and
which documents the following:
(1) Extent and nature of recycling that
occurred prior to receipt of the waste
material by the renewable fuel producer;
(2) Identification of available
recycling technology and practices that
are appropriate for removing recycling
materials from the waste stream; and
(3) Identification of the technology or
practices selected including an
explanation for such selection, and
reasons why other technologies or
practices were not.
(C) Contracts relevant to materials
recycled from municipal waste streams
as described in § 80.1426(f)(5)(iii).
(D) Certification by the producer that
recycling is conducted in a manner
consistent with goals and requirements
of applicable State and local laws
relating to recycling and waste
management.
(2) An independent third party
engineering review and written report
and verification of the information
provided pursuant to paragraph (b)(1) of
this section. The report and verification
shall be based upon a site visit and
review of relevant documents and shall
separately identify each item required
by paragraph (b)(1) of this section,
describe how the independent third
party evaluated the accuracy of the
information provided, state whether the
independent third party agrees with the
information provided, and identify any
exceptions between the independent
third party’s findings and the
information provided.
(i) The verifications required under
this section must be conducted by:
(A) A Professional Chemical Engineer
who is based in the United States and
is licensed by an appropriate state
agency for a domestic production
facility.
(B) An independent third party who
is a licensed professional engineer or
foreign equivalent who works in the
chemical engineering field for a foreign
production facility.
(ii) To be considered an independent
third party under this paragraph (b)(2):
(A) The third party shall not be
operated by the renewable fuel producer
or any subsidiary or employee of the
renewable fuel producer.
(B) The third party shall be free from
any interest in the renewable fuel
producer’s business.
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(C) The renewable fuel producer shall
be free from any interest in the third
party’s business.
(D) Use of a third party that is
debarred, suspended, or proposed for
debarment pursuant to the Governmentwide Debarment and Suspension
regulations, 40 CFR part 32, or the
Debarment, Suspension and Ineligibility
provisions of the Federal Acquisition
Regulations, 48 CFR, part 9, subpart 9.4,
shall be deemed noncompliance with
the requirements of this section.
(E) The third party must provide to
EPA documentation of his or her
qualifications as part of the engineering
review, including proof of appropriate
professional license or foreign
equivalent.
(iii) The independent third party shall
retain all records pertaining to the
verification required under this section
for a period of five years from the date
of creation and shall deliver such
records to the Administrator upon
request.
(iv) The renewable fuel producer must
retain records of the review and
verification, as required in
§ 80.1454(b)(6).
(3) A Fuel Supply Plan that includes
all the following information:
(i) Name of source of each and every
fuel that the renewable fuel producer
intends to be co-fired or used in a fuel
blend.
(ii) Anticipated proportion of each
fuel in the mix or in the fuel blend.
(iii) Anticipated net heat content of
each, including any expected seasonal
variations, such as those due to
moisture content or wood species.
(iv) Seasonal variation, if any, of the
fuel mix or blend.
(v) An affidavit from the biogas
supplier stating its intent to supply
biogas to the renewable fuel producer,
the quantity and energy content of the
biogas that it intends to provide to the
renewable fuel producer, and a
statement that this volume of biogas will
not be used for the creation of a
Renewable Energy Credit, or of any
other type of environmental or energy
attribute or credit.
(c) Importers. Importers of renewable
fuel must provide EPA the information
specified under § 80.76, if such
information has not already been
provided under the provisions of this
part and must receive an EPA-issued
company identification number prior to
generating or owning RINs. Registration
information may be submitted to EPA at
any time after promulgation of this rule
in the Federal Register, but must be
submitted and accepted by EPA by July
1, 2010, or 60 days prior to an importer
importing any renewable fuel with
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assigned RINs or generating any RINs
for renewable fuel, whichever date
comes later.
(d) Registration updates.
(1) Any producer of renewable fuel
who makes changes to his facility that
will qualify his renewable fuel for a
renewable fuel category or D code as
defined in § 80.1425(g) that is not
reflected in the producer’s registration
information on file with EPA must
update his registration information and
submit a copy of an updated
independent engineering review at least
60 days prior to producing the new type
of renewable fuel.
(2) Any producer of renewable fuel
who makes any other changes to a
facility that do not affect the renewable
fuel category for which the producer is
registered per paragraph (b) of this
section must update his registration
information 7 days prior to the change.
(3) All producers of renewable fuel
must update registration information
and submit a copy of an updated
independent engineering review every 3
years after initial registration. In
addition to conducting the engineering
review and written report and
verification required by paragraph (b)(2)
of this section, the updated independent
engineering review shall include a
detailed review of the renewable fuel
producer’s calculations used to
determine VRIN of a representative
sample of batches of each type of
renewable fuel produced since the last
registration. The representative sample
shall be selected in accordance with the
sample size guidelines set forth at
§ 80.127.
(e) Any party who owns RINs, intends
to own RINs, or intends to allow another
party to separate RINs as per § 80.1440,
but who is not covered by paragraphs
(a), (b), or (c) of this section, must
provide EPA the information specified
under § 80.76, if such information has
not already been provided under the
provisions of this part and must receive
an EPA-issued company identification
number prior to owning any RINs.
Registration information may be
submitted to EPA at any time after
promulgation of this rule in the Federal
Register, but must be submitted at least
30 days prior to RIN ownership.
(f) To aid EPA in verifying claims that
a facility qualifies for an exemption
described in § 80.1403(c) or (d),
registrations for such facilities must be
submitted by July 1, 2013. EPA may in
its sole discretion waive this
requirement if it determines that the
information submitted in any later
registration can be verified by EPA in
the same manner as would have been
possible with a timely submission.
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(g) Registration shall be on forms, and
following policies, established by the
Administrator.
§ 80.1451 What are the reporting
requirements under the RFS program?
(a) Obligated parties and exporters.
Any obligated party described in
§ 80.1406 or exporter of renewable fuel
described in § 80.1430 must submit to
EPA reports according to the schedule,
and containing all the information, that
is set forth in this paragraph (a).
(1) Annual compliance reports for the
previous compliance period shall be
submitted by February 28 of each year
and shall include all of the following
information:
(i) The obligated party’s or exporter’s
name.
(ii) The EPA company registration
number.
(iii) Whether the domestic refiner, as
defined in § 80.1406, is complying on a
corporate (aggregate) or facility-byfacility basis.
(iv) The EPA facility registration
number, if complying on a facility-byfacility basis.
(v) The production volume and
import volume of all of the products
listed in § 80.1407(c) and (e) for the
reporting year.
(vi) The RVOs, as defined in
§ 80.1427(a) for obligated parties and
§ 80.1430(b) for exporters of renewable
fuel, for the reporting year.
(vii) Any deficit RVOs carried over
from the previous year.
(viii) The total current-year RINs by
category of renewable fuel, as those
fuels are defined in § 80.1401 (i.e.,
cellulosic biofuel, biomass-based diesel,
advanced biofuel, renewable fuel, and
cellulosic diesel), retired for
compliance.
(ix) The total prior-year RINs by
renewable fuel category, as those fuels
are defined in § 80.1401, retired for
compliance.
(x) The total cellulosic biofuel waiver
credits used to meet the party’s
cellulosic biofuel RVO.
(xi) A list of all RINs retired for
compliance in the reporting year.
(A) RIN information provided by the
EPA Moderated Transaction System
(EMTS) that is retired to meet
compliance conveyed via the EMTS as
per § 80.1452.
(B) [Reserved]
(xii) Any deficit RVO(s) carried into
the subsequent year.
(xiii) Any additional information that
the Administrator may require.
(2) The RIN transaction reports
required under paragraph (c)(1) of this
section.
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(3) The quarterly RIN activity reports
required under paragraph (c)(2) of this
section.
(4) Reports required under this
paragraph (a) must be signed and
certified as meeting all the applicable
requirements of this subpart by the
owner or a responsible corporate officer
of the obligated party or exporter.
(b) Renewable fuel producers
(domestic and foreign) and importers.
Any domestic producer or importer of
renewable fuel who generates RINs, or
foreign renewable fuel producer who
generates RINs, must submit to EPA
reports according to the schedule, and
containing all the information, that is
set forth in this paragraph (b).
(1)(i) For RINs generated beginning on
July 1, 2010, RIN generation reports for
each facility owned by the renewable
fuel producer or importer shall be
submitted according to the schedule
specified in paragraph (f)(2) of this
section.
(ii) The RIN generation reports shall
include all the following information for
each batch of renewable fuel produced
or imported, where ‘‘batch’’ means a
discrete quantity of renewable fuel
produced or imported and assigned a
unique batch-RIN per § 80.1426(d):
(A) The RIN generator’s name.
(B) The RIN generator’s EPA company
registration number.
(C) The renewable fuel producer EPA
facility registration number.
(D) The importer EPA facility
registration number and foreign
renewable producer company
registration number, if applicable.
(E) The applicable reporting period.
(F) The quantity of RINs generated for
each batch according to § 80.1426.
(G) The production date of each batch.
(H) The category of renewable fuel of
each batch, as defined in § 80.1401.
(I) The volume of denaturant and
applicable equivalence value of each
batch.
(J) The volume of each batch
produced.
(K) The types and volumes of
feedstocks used.
(L) The process(es) and feedstock(s)
used and proportion of renewable
volume attributable to each process and
feedstock.
(M) The type of co-products produced
with each batch of renewable fuel.
(N) The volume of co-products
produced in each quarter.
(O) A list of the RINs generated and
an affirmation that the feedstock(s) used
for each batch meets the definition of
renewable biomass as defined in
§ 80.1401.
(P) Producers of renewable electricity
and biogas used for transportation as
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described in § 80.1426(f)(10) and (11),
and producers of renewable fuel that
use biogas for process heat as described
in § 80.1426(f)(12), shall report the
energy content produced and supplied
to the transportation fueling facility, in
units of energy (for example, MMBtu or
MW) based on metering of gas volume
or electricity. And the name and EPA
company registration number of the
transportation fueling facility.
(Q) Producers of renewable fuel that
use biogas for process heat as described
in § 80.1426(f)(12), shall identify the
supplier of the biogas and report the
energy content produced and supplied
to the renewable fuel facility, in MMBtu
based on metering of gas volume.
(R) Producers of renewable fuel made
from municipal solid waste as described
in § 80.1426(f)(5)(i)(C), shall report the
amount of paper, cardboard, plastics,
rubber, textiles, metals, and glass
separated from municipal solid waste
for recycling. Reporting shall be in units
of weight.
(S) Any additional information the
Administrator may require.
(2) The RIN transaction reports
required under paragraph (c)(1) of this
section.
(3) The RIN activity reports required
under paragraph (c)(2) of this section.
(4) Reports required under this
paragraph (b) must be signed and
certified as meeting all the applicable
requirements of this subpart by the
owner or a responsible corporate officer
of the renewable fuel producer or
importer.
(c) All RIN-owning parties. Any party,
including any party specified in
paragraphs (a) and (b) of this section,
that owns RINs during a reporting
period, must submit reports to EPA
according to the schedule, and
containing all the information, that is
set forth in this paragraph (c).
(1)(i) For RIN transactions beginning
on July 1, 2010, RIN transaction reports
listing each RIN transaction shall be
submitted according to the schedule in
paragraph (f)(2) of this section.
(ii) As per § 80.1452, RIN transaction
information listing each RIN transaction
shall be submitted to the EMTS.
(iii) Each report required by paragraph
(c)(1)(i) of this section shall include all
of the following information:
(A) The submitting party’s name.
(B) The submitting party’s EPA
company registration number.
(C) The applicable reporting period.
(D) Transaction type (i.e., RIN buy,
RIN sell, RIN separation, RIN retire,
reinstated 2009 RIN).
(E) Transaction date.
(F) For a RIN purchase or sale, the
trading partner’s name.
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(G) For a RIN purchase or sale, the
trading partner’s EPA company
registration number. For all other
transactions, the submitting party’s EPA
company registration number.
(H) RIN subject to the transaction.
(I) For a RIN purchase or sale, the per
gallon RIN price and/or the per gallon
price of renewable fuel price with RINs
included.
(J) The reason code for retiring RINs,
separating RINs, buying RINs, or selling
RINs.
(K) Any additional information that
the Administrator may require.
(2) RIN activity reports shall be
submitted to EPA according to the
schedule specified in paragraph (f)(2) of
this section. Each report shall
summarize RIN activities for the
reporting period, separately for RINs
separated from a renewable fuel volume
and RINs assigned to a renewable fuel
volume. The quarterly RIN activity
reports shall include all of the following
information:
(i) The submitting party’s name.
(ii) The submitting party’s EPA
company registration number.
(iii) The number of current-year RINs
owned at the start of the quarter.
(iv) The number of prior-year RINs
owned at the start of the quarter.
(v) The total current-year RINs
purchased.
(vi) The total prior-year RINs
purchased.
(vii) The total current-year RINs sold.
(viii) The total prior-year RINs sold.
(ix) The total current-year RINs
retired.
(x) The total prior-year RINs retired.
(xi) The number of current-year RINs
owned at the end of the quarter.
(xii) The number of prior-year RINs
owned at the end of the quarter.
(xiii) The number of RINs generated.
(xiv) The volume of renewable fuel (in
gallons) owned at the end of the quarter.
(xv) The total 2009 retired RINs
reinstated.
(xvi) Any additional information that
the Administrator may require.
(3) All reports required under this
paragraph (c) must be signed and
certified as meeting all the applicable
requirements of this subpart by the RIN
owner or a responsible corporate officer
of the RIN owner.
(d) Except for those producers subject
to the aggregate compliance approach
described in § 80.1454(g), producers and
RIN-generating importers of renewable
fuel made from feedstocks that are
planted crops and crop residue from
existing agricultural land, planted trees
or tree residue from actively managed
tree plantations, slash and precommercial thinnings from forestlands
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or biomass obtained from areas at risk
of wildfire must submit quarterly
reports according to the schedule in
paragraph (f)(2) of this section that
include all of the following:
(1) A summary of the types and
volumes of feedstocks used in that
quarter.
(2) Electronic data identifying the
land by coordinates of the points
defining the boundaries from which
each type of feedstock listed per
paragraph (d)(1) of this section was
harvested.
(3) If electronic data identifying a plot
of land have been submitted previously,
producers and RIN-generating importers
may submit a cross-reference to that
electronic data.
(e) If EPA finds that the 2007 baseline
amount of agricultural land has been
exceeded in any year beginning in 2010,
beginning on the first day of July of the
following calendar year any domestic
producers of renewable fuel as defined
in § 80.1401 who use planted crops and/
or crop residue from existing
agricultural lands as feedstock must
submit quarterly reports according to
the schedule in paragraph (f)(2) of this
section that include all of the following:
(1) A summary of the types and
volumes of feedstocks used in that
quarter.
(2) Maps or electronic data identifying
the land from which each type of
feedstock listed per paragraph (d)(1)
above was harvested.
(i) If maps or electronic data
identifying a plot of land have been
submitted previously, producers and
RIN-generating importers may submit a
cross-reference to that map or electronic
data.
(ii) [Reserved.]
(f) Quarterly report submission
deadlines. The submission deadlines for
quarterly reports shall be as follows:
(1) [Reserved.]
(2) Quarterly reports shall be
submitted to EPA by the last day of the
second month following the reporting
period (i.e., the report covering January–
March would be due by May 31st, the
report covering April–June would be
due by August 31st, the report covering
July–September would be due by
November 30th and the report covering
October–December would be due by
February 28th). Any reports generated
by EMTS must be reviewed,
supplemented, and/or corrected if not
complete and accurate, and verified by
the owner or responsible corporate
office prior to submittal.
(3) Reports required must be signed
and certified as meeting all the
applicable requirements of this subpart
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by the owner or a responsible corporate
officer of the submitter.
(g) All reports required under this
section shall be submitted on forms and
following procedures prescribed by the
Administrator.
§ 80.1452 What are the requirements
related to the EPA Moderated Transaction
System (EMTS)?
(a) Each party required to submit
information under this section must
establish an account with the EPA
Moderated Transaction System (EMTS)
at least 60 days prior to engaging in any
RIN transactions, or July 1, 2010,
whichever is later.
(b) Starting July 1, 2010, each time a
domestic producer or importer of
renewable fuel, or foreign renewable
fuel producer who generates RINs,
produces or imports a batch of
renewable fuel, all the following
information must be submitted to EPA
via the submitting party’s EMTS
account within five (5) business days:
(1) The renewable fuel producer’s,
foreign renewable fuel producer’s, or
importer’s name.
(2) The renewable fuel producer’s or
foreign renewable fuel producer’s EPA
company registration number.
(3) The importer’s EPA company
registration number if applicable.
(4) The renewable fuel producer’s or
foreign renewable fuel producer’s EPA
facility registration number.
(5) The importer’s EPA facility
registration number.
(6) The RIN type (i.e., D code) of the
batch.
(7) The production process(es) used
for the batch.
(8) The production date of the batch.
(9) The category of renewable fuel of
the batch, as defined in § 80.1401.
(10) The volume of the batch.
(11) The volume of denaturant and
applicable equivalence value of each
batch.
(12) Quantity of RINs generated for
the batch.
(13) The type and volume of
feedstock(s) used for the batch.
(14) An affirmation that the
feedstock(s) used for each batch meets
the definition of renewable biomass as
defined in § 80.1401.
(15) The type of co-products produced
with the batch of renewable fuel.
(16) Any additional information the
Administrator may require.
(c) Starting July 1, 2010, each time
any party engages in a transaction
involving RINs, all the following
information must be submitted to EPA
via the submitting party’s EMTS
account within five (5) business days:
(1) The submitting party’s name.
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(2) The submitting party’s EPA
company registration number.
(3) The generation year of the RINs.
(4) The RIN assignment information
(Assigned or Separated).
(5) The RIN type, or D code.
(6) Transaction type (i.e., RIN buy,
RIN sell, RIN separation, RIN retire).
(7) Transaction date as per
§ 80.1453(a)(4).
(8) For a RIN purchase or sale, the
trading partner’s name.
(9) For a RIN purchase or sale, the
trading partner’s EPA company
registration number.
(10) For an assigned RIN purchase or
sale, the renewable fuel volume
associated with the sale.
(11) Quantity of RINs involved in a
transaction.
(12) The per gallon RIN price or the
per-gallon price of renewable fuel with
RINs included.
(13) The reason for retiring RINs,
separating RINs, buying RINs, or selling
RINs.
(14) Any additional information that
the Administrator may require.
(d) All information required under
this section shall be submitted on forms
and following procedures prescribed by
the Administrator.
§ 80.1453 What are the product transfer
document (PTD) requirements for the RFS
program?
(a) On each occasion when any party
transfers ownership of renewable fuels
or separated RINs subject to this
subpart, the transferor must provide to
the transferee documents identifying the
renewable fuel and any RINs (whether
assigned or separated) which include all
of the following information, as
applicable:
(1) The name and address of the
transferor and transferee.
(2) The transferor’s and transferee’s
EPA company registration numbers.
(3) The volume of renewable fuel that
is being transferred, if any.
(4) The date of the transfer.
(5) For assigned or separated RINs, the
per gallon RIN price or the per gallon
renewable fuel price if the RIN price is
included.
(6) The quantity of RINs being traded.
(7) The RIN type (i.e., D code).
(8) The Assignment Code (Assigned or
Separated, or K code = 1 or 2).
(9) The RIN generation year.
(10) The associated reason for the sell
or buy transaction.
(11) Whether any RINs are assigned to
the volume, as follows:
(i) If the assigned RINs are being
transferred on the same PTD used to
transfer ownership of the renewable
fuel, then the assigned RINs shall be
listed on the PTD.
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(ii) If the assigned RINs are being
transferred on a separate PTD from that
which is used to transfer ownership of
the renewable fuel, then the PTD which
is used to transfer ownership of the
renewable fuel shall state the number of
gallon-RINs being transferred as well as
a unique reference to the PTD which is
transferring the assigned RINs.
(iii) If no assigned RINs are being
transferred with the renewable fuel, the
PTD which is used to transfer
ownership of the renewable fuel shall
state ‘‘No assigned RINs transferred.’’
(iv) If RINs have been separated from
the renewable fuel or blend pursuant to
§ 80.1429(b)(4), then all PTDs which are
at any time used to transfer ownership
of the renewable fuel or blend shall state
‘‘This volume of fuel must be used in the
designated form, without further
blending.’’
(b) Except for transfers to truck
carriers, retailers, or wholesale
purchaser-consumers, product codes
may be used to convey the information
required under paragraphs (a)(1)
through (a)(11) of this section if such
codes are clearly understood by each
transferee.
(c) For renewable fuel, other than
ethanol, that is not registered as motor
vehicle fuel under 40 CFR Part 79, the
PTD which is used to transfer
ownership of the renewable fuel shall
state ‘‘This volume of renewable fuel
may not be used as a motor vehicle
fuel.’’
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§ 80.1454 What are the recordkeeping
requirements under the RFS program?
(a) Requirements for obligated parties
and exporters. Beginning July 1, 2010,
any obligated party (as described at
§ 80.1406) or exporter of renewable fuel
(as described at § 80.1401) must keep all
of the following records:
(1) Product transfer documents
consistent with § 80.1453 and associated
with the obligated party’s or exporter’s
activity, if any, as transferor or
transferee of renewable fuel or separated
RINs.
(2) Copies of all reports submitted to
EPA under §§ 80.1449 and 80.1451(a),
as applicable.
(3) Records related to each RIN
transaction, including all of the
following:
(i) A list of the RINs owned,
purchased, sold, separated, retired, or
reinstated.
(ii) The parties involved in each RIN
transaction including the transferor,
transferee, and any broker or agent.
(iii) The date of the transfer of the
RIN(s).
(iv) Additional information related to
details of the RIN transaction and its
terms.
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(4) Records related to the use of RINs
(by facility, if applicable) for
compliance, including all of the
following:
(i) Methods and variables used to
calculate the Renewable Volume
Obligations pursuant to § 80.1407 or
§ 80.1430.
(ii) List of RINs used to demonstrate
compliance.
(iii) Additional information related to
details of RIN use for compliance.
(5) Records related to the separation
of assigned RINs from renewable fuel
volume.
(b) Requirements for all producers of
renewable fuel. Beginning July 1, 2010,
any domestic or RIN-generating foreign
producer of a renewable fuel as defined
in § 80.1401 must keep all of the
following records in addition to those
required under paragraphs (c) or (d) of
this section:
(1) Product transfer documents
consistent with § 80.1453 and associated
with the renewable fuel producer’s
activity, if any, as transferor or
transferee of renewable fuel or separated
RINs.
(2) Copies of all reports submitted to
EPA under §§ 80.1449 and 80.1451(b).
(3) Records related to the generation
and assignment of RINs for each facility,
including all of the following:
(i) Batch volume in gallons.
(ii) Batch number.
(iii) RIN as assigned under § 80.1426,
if applicable.
(iv) Identification of batches by
renewable category.
(v) Type and quantity of co-products
produced.
(vi) Type and quantity of feedstocks
used.
(vii) Type and quantity of fuel used
for process heat.
(viii) Feedstock energy calculations
per § 80.1426(f)(4).
(ix) Date of production.
(x) Results of any laboratory analysis
of batch chemical composition or
physical properties.
(xi) All commercial documents and
additional information related to details
of RIN generation.
(4) Records related to each RIN
transaction, separately for each
transaction, including all of the
following:
(i) A list of the RINs owned,
purchased, sold, retired, or reinstated.
(ii) The parties involved in each
transaction including the transferor,
transferee, and any broker or agent.
(iii) The date of the transfer of the
RIN(s).
(iv) Additional information related to
details of the transaction and its terms.
(5) Records related to the production,
importation, ownership, sale or use of
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any volume of renewable fuel for which
RINs were generated or blend of
renewable fuel for which RINs were
generated and gasoline or diesel fuel
that any party designates for use as
transportation fuel, jet fuel, or heating
oil and the use of the fuel or blend as
transportation fuel, jet fuel, or heating
oil without further blending, in the
designated form.
(6) Copies of registration documents
required under § 80.1450, including
information on fuels and products,
feedstocks, facility production
processes, process changes, and
capacity, energy sources, and a copy of
the independent third party engineering
review submitted to EPA per
§ 80.1450(b)(2).
(c) Additional requirements for
imports of renewable fuel.
(1) Beginning July 1, 2010, any RINgenerating foreign producer of a
renewable fuel or RIN-generating
importer must keep records of feedstock
purchases and transfers associated with
renewable fuel for which RINs are
generated, sufficient to verify that
feedstocks used are renewable biomass
(as defined in § 80.1401).
(i) RIN-generating foreign producers
and importers of renewable fuel made
from feedstocks that are planted crops
or crop residue from existing
agricultural land, planted trees or tree
residue from actively managed tree
plantations, slash and pre-commercial
thinnings from forestlands or biomass
obtained from wildland-urban interface
must maintain all of the following
records to verify the location where
these feedstocks were produced:
(A) Maps or electronic data
indentifying the boundaries of the land
where each type of feedstock was
produced.
(B) Bills of lading, product transfer
documents, or other commercial
documents showing the quantity of
feedstock purchased from each area
identified in paragraph (c)(1)(i)(A) of
this section, and showing each transfer
of custody of the feedstock from the
location where it was produced to the
renewable fuel production facility.
(ii)(A) RIN-generating foreign
producers and importers of renewable
fuel made from planted crops or crop
residue from existing agricultural land
must keep records that serve as
evidence that the land from which the
feedstock was obtained was cleared or
cultivated prior to December 19, 2007
and actively managed or fallow, and
nonforested on December 19, 2007. RINgenerating foreign producers or
importers of renewable fuel made from
planted trees or tree residue from
actively managed tree plantations must
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keep records that serve as evidence that
the land from which the feedstock was
obtained was cleared prior to December
19, 2007 and actively managed on
December 19, 2007.
(B) The records must be provided by
the feedstock producer, traceable to the
land in question, and consist of at least
one of the following documents:
(1) Sales records for planted crops or
trees, crop or tree residue, or livestock;
purchasing records for fertilizer, weed
control, or reseeding, including seeds,
seedlings, or other nursery stock.
(2) A written management plan for
agricultural or silvicultural purposes;
documentation of participation in an
agricultural or silvicultural program
sponsored by a Federal, state, or local
government agency.
(3) Documentation of land
management in accordance with an
agricultural or silvicultural product
certification program, an agreement for
land management consultation with a
professional forester that identifies the
land in question.
(4) Evidence of the existence and
ongoing maintenance of a road system
or other physical infrastructure
designed and maintained for logging
use, together with one of the
aforementioned documents in this
paragraph (c)(1)(ii)(B).
(iii) RIN-generating foreign producers
and importers of renewable fuel made
from any other type of renewable
biomass must have documents from
their feedstock supplier certifying that
the feedstock qualifies as renewable
biomass as defined in § 80.1401,
describing the feedstock and identifying
the process that was used to generate
the feedstock.
(2) Beginning July 1, 2010, any RINgenerating importer of renewable fuel
(as defined in § 80.1401) must keep all
of the following records:
(i) Product transfer documents
consistent with § 80.1453 and associated
with the renewable fuel importer’s
activity, if any, as transferor or
transferee of renewable fuel.
(ii) Copies of all reports submitted to
EPA under §§ 80.1449 and 80.1451(b);
however, duplicate records are not
required.
(iii) Records related to the generation
and assignment of RINs for each facility,
including all of the following:
(A) Batch volume in gallons.
(B) Batch number.
(C) RIN as assigned under § 80.1426.
(D) Identification of batches by
renewable category.
(E) Type and quantity of feedstocks
used.
(F) Type and quantity of fuel used for
process heat.
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(G) Date of import.
(H) Results of any laboratory analysis
of batch chemical composition or
physical properties.
(I) The EPA registration number of the
foreign renewable fuel producers
producing the fuel.
(J) Additional information related to
details of RIN generation.
(iv) Records related to each RIN
transaction, including all of the
following:
(A) A list of the RINs owned,
purchased, sold, separated, retired, or
reinstated.
(B) The parties involved in each
transaction including the transferor,
transferee, and any broker or agent.
(C) The date of the transfer of the
RIN(s).
(D) Additional information related to
details of the transaction and its terms.
(v) Copies of registration documents
required under § 80.1450.
(vi) Records related to the import of
any volume of renewable fuel that the
importer designates for use as
transportation fuel, jet fuel, or heating
oil.
(d) Additional requirements for
domestic producers of renewable fuel.
Except as provided in paragraphs (g)
and (h) of this section, beginning July 1,
2010, any domestic producer of
renewable fuel as defined in § 80.1401
that generates RINs for such fuel must
keep documents associated with
feedstock purchases and transfers that
identify where the feedstocks were
produced and are sufficient to verify
that feedstocks used are renewable
biomass (as defined in § 80.1401) if RINs
are generated.
(1) Domestic producers of renewable
fuel made from feedstocks that are
planted trees or tree residue from
actively managed tree plantations, slash
and pre-commercial thinnings from
forestlands or biomass obtained from
areas at risk of wildfire must maintain
all the following records to verify the
location where these feedstocks were
produced:
(i) Maps or electronic data identifying
the boundaries of the land where each
type of feedstock was produced.
(ii) Bills of lading, product transfer
documents or other commercial
documents showing the quantity of
feedstock purchased from each area
identified in paragraph (d)(1)(i) of this
section, and showing each transfer of
custody of the feedstock from the
location where it was produced to the
renewable fuel production facility.
(2) Domestic producers of renewable
fuel made from planted trees or tree
residue from actively managed tree
plantations must keep records that serve
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14889
as evidence that the land from which
the feedstock was obtained was cleared
prior to December 19, 2007 and actively
managed on December 19, 2007. The
records must be provided by the
feedstock producer and must include at
least one of the following documents,
which must be traceable to the land in
question:
(i) Sales records for planted trees or
tree residue.
(ii) Purchasing records for fertilizer,
weed control, or reseeding, including
seeds, seedlings, or other nursery stock.
(iii) A written management plan for
silvicultural purposes.
(iv) Documentation of participation in
a silvicultural program sponsored by a
Federal, state, or local government
agency.
(v) Documentation of land
management in accordance with a
silvicultural product certification
program, an agreement for land
management consultation with a
professional forester.
(vi) Evidence of the existence and
ongoing maintenance of a road system
or other physical infrastructure
designed and maintained for logging
use, together with one of the
aforementioned documents.
(3) Domestic producers of renewable
fuel made from any other type of
renewable biomass must have
documents from their feedstock supplier
certifying that the feedstock qualifies as
renewable biomass as defined in
§ 80.1401, describing the feedstock and
identifying the process that was used to
generate the feedstock.
(e) Additional requirements for
producers of fuel exempt from the 20%
GHG reduction requirement. Beginning
July 1, 2010, any production facility
with a baseline volume of fuel that is
not subject to the 20% GHG threshold,
pursuant to § 80.1403(c) and (d), must
keep all of the following:
(1) Detailed engineering plans for the
facility.
(2) Federal, State, and local (or foreign
governmental) preconstruction
approvals and permitting.
(3) Procurement and construction
contracts and agreements.
(f) Requirements for other parties that
own RINs. Beginning July 1, 2010, any
party, other than those parties covered
in paragraphs (a) and (b) of this section,
that owns RINs must keep all of the
following records:
(1) Product transfer documents
consistent with § 80.1453 and associated
with the party’s activity, if any, as
transferor or transferee of renewable fuel
or separated RINs.
(2) Copies of all reports submitted to
EPA under § 80.1451(c).
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(3) Records related to each RIN
transaction by renewable fuel category,
including all of the following:
(i) A list of the RINs owned,
purchased, sold, retired, or reinstated.
(ii) The parties involved in each RIN
transaction including the transferor,
transferee, and any broker or agent.
(iii) The date of the transfer of the
RIN(s).
(iv) Additional information related to
details of the transaction and its terms.
(4) Records related to any volume of
renewable fuel that the party designated
for use as transportation fuel, jet fuel, or
heating oil and from which RINs were
separated pursuant to § 80.1429(b)(4).
(g) Aggregate compliance with
renewable biomass requirement. Any
domestic producer of renewable fuel
made from planted crops or crop
residue from existing agricultural land
as defined in § 80.1401 is subject to the
aggregate compliance approach and is
not required to maintain feedstock
records unless EPA publishes a finding
that the 2007 baseline amount of
agricultural land has been exceeded.
(1) EPA will make a finding
concerning whether the 2007 baseline
amount of agricultural land has been
exceeded and will publish this finding
in the Federal Register by November 30
of the year preceding the compliance
period.
(2) If EPA finds that the 2007 baseline
amount of agricultural land has been
exceeded, beginning on the first day of
July of the compliance period in
question any domestic producer of
renewable fuel made from planted crops
and/or crop residue from agricultural
lands as feedstock for renewable fuel for
which RINs are generated must keep all
the following records:
(i) Records that serve as evidence that
the land from which the feedstock was
obtained was cleared or cultivated prior
to December 19, 2007 and actively
managed or fallow, and nonforested on
December 19, 2007. The records must be
provided by the feedstock producer and
must include at least one of the
following documents, which must be
traceable to the land in question:
(A) Sales records for planted crops,
crop residue or livestock.
(B) Purchasing records for fertilizer,
weed control, seeds, seedlings, or other
nursery stock.
(C) A written management plan for
agricultural purposes.
(D) Documentation of participation in
an agricultural program sponsored by a
Federal, state, or local government
agency.
(E) Documentation of land
management in accordance with an
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Jkt 220001
agricultural product certification
program.
(ii) Records to verify the location
where the feedstocks were produced:
(A) Maps or electronic data
indentifying the boundaries of the land
where each type of feedstock was
produced; and
(B) Bills of lading, product transfer
documents or other commercial
documents showing the quantity of
feedstock purchased from each area
identified in paragraph (c)(1)(i)(A) of
this section, and showing each transfer
of custody of the feedstock from the
location where it was produced to the
renewable fuel facility.
(h) Alternative renewable biomass
tracking requirement. Any foreign or
domestic renewable fuel producer or
importer as defined in § 80.1401 may
comply with the following alternative
renewable biomass tracking requirement
instead of the recordkeeping
requirements in paragraphs (c)(1), (d),
and (g) of this section:
(1) To comply with the alternative
renewable biomass tracking requirement
under this paragraph (h), a renewable
fuel producer or importer must either
arrange to have an independent third
party conduct a comprehensive program
of annual compliance surveys, or
participate in the funding of an
organization which arranged to have an
independent third party conduct a
comprehensive program of annual
compliance surveys, to be carried out in
accordance with a survey plan which
has been approved by EPA.
(2) The annual compliance surveys
under this paragraph (h) must be all the
following:
(i) Planned and conducted by an
independent surveyor that meets the
requirements in § 80.68(c)(13)(i).
(ii) Conducted at renewable fuel
production and import facilities and
their feedstock suppliers.
(iii) Representative of all renewable
fuel producers and importers in the
survey area and representative of their
feedstock suppliers.
(iv) Designed to achieve at least the
same level of quality assurance required
in paragraphs (c)(1), (d) and (g) of this
section.
(3) The compliance survey program
shall require the independent surveyor
conducting the surveys to do all the
following:
(i) Conduct feedstock audits of
renewable fuel production and import
facilities in accordance with the survey
plan approved under this paragraph (h),
or immediately notify EPA of any
refusal of these facilities to allow an
audit to be conducted.
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(ii) Obtain the records and product
transfer documents associated with the
feedstocks being audited.
(iii) Determine the feedstock
supplier(s) that supplied the feedstocks
to the renewable fuel producer.
(iv) Confirm that feedstocks used to
produce RIN-generating renewable fuels
meet the definition of renewable
biomass as defined in § 80.1401.
(v) Immediately notify EPA of any
case where the feedstocks do not meet
the definition of renewable biomass as
defined in § 80.1401.
(vi) Immediately notify EPA of any
instances where a renewable fuel
producer, importer or feedstock supplier
subject to review under the approved
plan fails to cooperate in the manner
described in this section.
(vii) Submit to EPA a report of each
survey, within thirty days following the
completion of each survey, such report
to include all the following information:
(A) The identification of the person
who conducted the survey.
(B) An attestation by the officer of the
surveyor company that the survey was
conducted in accordance with the
survey plan and the survey results are
accurate.
(C) Identification of the parties for
whom the survey was conducted.
(D) Identification of the covered area
surveyed.
(E) The dates on which the survey
was conducted.
(F) The address of each facility at
which the survey audit was conducted
and the date of the audit.
(G) A description of the methodology
used to select the locations for survey
audits and the number of audits
conducted.
(viii) Maintain all records relating to
the survey audits conducted under this
section (h) for a period of at least 5
years.
(ix) At any time permit any
representative of EPA to monitor the
conduct of the surveys, including
observing audits, reviewing records, and
analysis of the audit results.
(4) A survey plan under this
paragraph (h) must include all the
following:
(i) Identification of the parties for
whom the survey is to be conducted.
(ii) Identification of the independent
surveyor.
(iii) A methodology for determining
all the following:
(A) When the audits will be
conducted.
(B) The audit locations.
(C) The number of audits to be
conducted during the annual
compliance period.
(iv) Any other elements determined
by EPA to be necessary to achieve the
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level of quality assurance required
under paragraphs (c)(1), (d), and (g) of
this section.
(5)(i) Each renewable fuel producer
and importer who participates in the
alternative renewable biomass tracking
under this paragraph (h) must take all
reasonable steps to ensure that each
feedstock producer, aggregator,
distributor, or supplier cooperates with
this program by allowing the
independent surveyor to audit their
facility and by providing to the
independent surveyor and/or EPA, upon
request, copies of management plans,
product transfer documents, and other
records or information regarding the
source of any feedstocks received.
(ii) Reasonable steps under paragraph
(h)(5)(i) of this section must include, but
typically should not be limited to:
Contractual agreements with feedstock
producers, aggregators, distributors, and
suppliers, which require them to
cooperate with the independent
surveyor and/or EPA in the manner
described in paragraph (h)(5)(i) of this
section.
(6) The procedure for obtaining EPA
approval of a survey plan under this
paragraph (h), and for revocation of any
such approval, are as follows:
(i) A detailed survey plan which
complies with the requirements of this
paragraph (h) must be submitted to EPA,
no later than September 1 of the year
preceding the calendar year in which
the surveys will be conducted.
(ii) The survey plan must be signed by
a responsible corporate officer of the
renewable fuel producer or importer, or
responsible officer of the organization
which arranges to have an independent
surveyor conduct a program of
renewable biomass compliance surveys,
as applicable.
(iii) The survey plan must be sent to
the following address: Director,
Compliance and Innovative Strategies
Division, U.S. Environmental Protection
Agency, 1200 Pennsylvania Ave., NW.
(6406J), Washington, DC 20460.
(iv) EPA will send a letter to the party
submitting a survey plan under this
section, either approving or
disapproving the survey plan.
(v) EPA may revoke any approval of
a survey plan under this section for
cause, including an EPA determination
that the approved survey plan had
proved inadequate in practice or that it
was not diligently implemented.
(vi) The approving official for an
alternative quality assurance program
under this section is the Director of the
Compliance and Innovative Strategies
Division, Office of Transportation and
Air Quality.
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(vii) Any notifications required under
this paragraph (h) must be directed to
the officer designated in paragraph
(h)(6)(vi) of this section.
(7)(i) No later than December 1 of the
year preceding the year in which the
surveys will be conducted, the contract
with the independent surveyor shall be
in effect, and an amount of money
necessary to carry out the entire survey
plan shall be paid to the independent
surveyor or placed into an escrow
account with instructions to the escrow
agent to pay the money to the
independent surveyor during the course
of the conduct of the survey plan.
(ii) No later than December 15 of the
year preceding the year in which the
surveys will be conducted, EPA must
receive a copy of the contract with the
independent surveyor, proof that the
money necessary to carry out the survey
plan has either been paid to the
independent surveyor or placed into an
escrow account, and, if placed into an
escrow account, a copy of the escrow
agreement, to be sent to the official
designated in paragraph (h)(6)(iii) of this
section.
(8) A failure of any renewable fuel
producers or importer to fulfill or cause
to be fulfilled any of the requirements
of this paragraph (h) will cause the
option for such party to use the
alternative quality assurance
requirements under this paragraph (h) to
be void ab initio.
(i) Beginning July 1, 2010, all parties
must keep transaction information sent
to EMTS in addition to other records
required under this section.
(j) A renewable fuel producer that
produces fuel from separated yard and
food waste as described in
§ 80.1426(f)(5)(i)(A) and (B) and
separated municipal waste as described
in § 80.1426(f)(5)(i)(C) shall keep all the
following additional records:
(1) For separated yard and food waste
as described in § 80.1426(f)(5)(i)(A) and
(B):
(i) Documents demonstrating the
amounts, by weight, purchased of
separated yard and food waste for use as
a feedstock in producing renewable fuel.
(ii) Such other records as may be
requested by the Administrator.
(2) For separated municipal solid
waste as described in
§ 80.1426(f)(5)(i)(C):
(i) Contracts and documents
memorializing the sale of paper,
cardboard, plastics, rubber, textiles,
metals, and glass separated from
municipal solid waste for recycling.
(ii) Documents demonstrating the
amounts by weight purchased of postrecycled separated yard and food waste
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14891
for use as a feedstock in producing
renewable fuel.
(iii) Such other records as may be
requested by the Administrator.
(k) A renewable fuel producer that
generates RINs for biogas or electricity
produced from renewable biomass
(renewable electricity) for fuels that are
used for transportation pursuant to
§ 80.1426(f)(10) and (11), or that uses
process heat from biogas to generate
RINs for renewable fuel pursuant to
§ 80.1426(f)(12) shall keep all of the
following additional records:
(1) Contracts and documents
memorializing the sale of biogas or
renewable electricity for use as
transportation fuel relied upon in
§ 80.1426(f)(10), § 80.1426(f)(11), or for
use of biogas for use as process heat to
make renewable fuel as relied upon in
§ 80.1426(f)(12), and the transfer of title
of the biogas or renewable electricity
and all associated environmental
attributes from the point of generation to
the transportation fueling facility.
(2) Documents demonstrating the
volume and energy content of biogas, or
energy content of renewable electricity
relied upon under § 80.1426(f)(10) that
was delivered to the transportation
fueling facility.
(3) Documents demonstrating the
volume and energy content of biogas, or
energy content of renewable electricity
relied upon under § 80.1426(f)(11) or
biogas relied upon under
§ 80.1426(f)(12) that was placed into the
common carrier pipeline (for biogas) or
transmission line (for renewable
electricity).
(4) Documents demonstrating the
volume and energy content of biogas, or
energy content of renewable electricity
relied upon under § 80.1426(f)(12) at the
point of distribution.
(5) Affidavits from the biogas, or
renewable electricity producer and all
parties that held title to the biogas or
renewable electricity confirming that
title and environmental attributes of the
biogas or renewable electricity relied
upon under § 80.1426(f)(10) and (11) or
biogas relied upon under
§ 80.1426(f)(12) were delivered to the
transportation fueling facility and only
to the transportation fueling facility.
The renewable fuel producer shall
create and/or obtain these affidavits at
least once per calendar quarter.
(6) The biogas or renewable electricity
producer’s Compliance Certification
required under Title V of the Clean Air
Act.
(7) Such other records as may be
requested by the Administrator.
(l) The records required under
paragraphs (a) through (d) and (f)
through (k) of this section and under
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§ 80.1453 shall be kept for five years
from the date they were created, except
that records related to transactions
involving RINs shall be kept for five
years from the date of the RIN
transaction.
(m) The records required under
paragraph (e) of this section shall be
kept through calendar year 2022.
(n) On request by EPA, the records
required under this section and under
§ 80.1453 must be made available to the
Administrator or the Administrator’s
authorized representative. For records
that are electronically generated or
maintained, the equipment or software
necessary to read the records shall be
made available; or, if requested by EPA,
electronic records shall be converted to
paper documents.
(o) The records required in paragraphs
(b)(3) and (c)(1) of this section must be
transferred with any renewable fuel sent
to the importer of that renewable fuel by
any foreign producer not generating
RINs for his renewable fuel.
(p) Copies of all reports required
under § 80.1464.
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§ 80.1455 What are the small volume
provisions for renewable fuel production
facilities and importers?
(a) Standard volume threshold.
Renewable fuel production facilities
located within the United States that
produce less than 10,000 gallons of
renewable fuel each year, and importers
who import less than 10,000 gallons of
renewable fuel each year, are not subject
to the requirements of § 80.1426(a) and
(e) related to the generation and
assignment of RINs or to batches of
renewable fuel. Except as stated in
paragraph (b) of this section, such
production facilities and importers that
do not generate and/or assign RINs to
batches of renewable fuel are also
exempt from all the following
requirements of this subpart:
(1) The registration requirements of
§ 80.1450.
(2) The reporting requirements of
§ 80.1451.
(3) The EMTS requirements of
§ 80.1452.
(4) The recordkeeping requirements of
§ 80.1454.
(5) The attest engagement
requirements of § 80.1464.
(6) The production outlook report
requirements of § 80.1449.
(b)(1) Renewable fuel production
facilities and importers who produce or
import less than 10,000 gallons of
renewable fuel each year and that
generate and/or assign RINs to batches
of renewable fuel are subject to the
provisions of §§ 80.1426, 80.1449
through 80.1452, 80.1454, and 80.1464.
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(2) Renewable fuel production
facilities and importers who produce or
import less than 10,000 gallons of
renewable fuel each year but wish to
own RINs will be subject to all
requirements stated in paragraphs (a)(1)
through (a)(6) and (b)(1) of this section,
and all other applicable requirements of
this subpart M.
(c) Temporary volume threshold.
Renewable fuel production facilities
located within the United States that
produce less than 125,000 gallons of
renewable fuel each year are not subject
to the requirements of § 80.1426(a) and
(e) related to the generation and
assignment of RINs to batches of
renewable fuel for up to three years,
beginning with the calendar year in
which the production facility produces
its first gallon of renewable fuel. Except
as stated in paragraph (d) of this section,
such production facilities that do not
generate and/or assign RINs to batches
of renewable fuel are also exempt from
all the following requirements of this
subpart for a maximum of three years:
(1) The registration requirements of
§ 80.1450.
(2) The reporting requirements of
§ 80.1451.
(3) The EMTS requirements of
§ 80.1452.
(4) The recordkeeping requirements of
§ 80.1454.
(5) The attest engagement
requirements of § 80.1464.
(6) The production outlook report
requirements of § 80.1449.
(d)(1) Renewable fuel production
facilities who produce less than 125,000
gallons of renewable fuel each year and
that generate and/or assign RINs to
batches of renewable fuel are subject to
the provisions of §§ 80.1426, 80.1449
through 80.1452, 80.1454, and 80.1464.
(2) Renewable fuel production
facilities who produce less than 125,000
gallons of renewable fuel each year but
wish to own RINs will be subject to all
requirements stated in paragraphs (c)(1)
through (c)(6) and (d)(1) of this section,
and all other applicable requirements of
this subpart M.
§ 80.1456 What are the provisions for
cellulosic biofuel waiver credits?
(a) If EPA reduces the applicable
volume of cellulosic biofuel pursuant to
section 211(o)(7)(D)(i) of the Clean Air
Act (42 U.S.C. 7545(o)(7)(D)(i)) for any
given compliance year, then EPA will
provide cellulosic biofuel waiver credits
for purchase for that compliance year.
(1) The price of these cellulosic
biofuel waiver credits will be set by EPA
on an annual basis in accordance with
paragraph (d) of this section.
(2) The total cellulosic biofuel waiver
credits available will be equal to the
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reduced cellulosic biofuel volume
established by EPA for the compliance
year.
(b) Use of cellulosic biofuel waiver
credits.
(1) Cellulosic biofuel waiver credits
are only valid for use in the compliance
year that they are made available.
(2) Cellulosic biofuel waiver credits
are nonrefundable.
(3) Cellulosic biofuel waiver credits
are nontransferable.
(4) Cellulosic biofuel waiver credits
may only be used for an obligated
party’s current year cellulosic biofuel
RVO and not towards any prior year
deficit cellulosic biofuel volume
obligations.
(c) Purchase of cellulosic biofuel
waiver credits.
(1) Only parties with an RVO for
cellulosic biofuel may purchase
cellulosic biofuel waiver credits.
(2) Cellulosic biofuel waiver credits
shall be purchased from EPA at the time
that a party submits its annual
compliance report to EPA pursuant to
§ 80.1451(a)(1).
(3) Parties may not purchase more
cellulosic biofuel waiver credits than
their current year cellulosic biofuel RVO
minus cellulosic biofuel RINs with a D
code of 3 that they own.
(4) Cellulosic biofuel waiver credits
may only be used to meet an obligated
party’s cellulosic biofuel RVO.
(d) Setting the price of cellulosic
biofuel waiver credits.
(1) The price for cellulosic biofuel
waiver credits shall be set equal to the
greater of:
(i) $0.25 per cellulosic biofuel waiver
credit, adjusted for inflation in
comparison to calendar year 2008; or
(ii) $3.00 less the wholesale price of
gasoline per cellulosic biofuel waiver
credit, adjusted for inflation in
comparison to calendar year 2008.
(2) The wholesale price of gasoline
will be calculated by averaging the most
recent twelve monthly values for U.S.
Total Gasoline Bulk Sales (Price) by
Refiners as provided by the Energy
Information Administration that are
available as of September 30 of the year
preceding the compliance period.
(3) The inflation adjustment will be
calculated by comparing the most recent
Consumer Price Index for All Urban
Consumers (CPI–U) for All Items
expenditure category as provided by the
Bureau of Labor Statistics that is
available at the time EPA sets the
cellulosic biofuel standard to the most
recent comparable value reported after
December 31, 2008. When EPA must set
the price of cellulosic biofuel waiver
credits for a compliance year, EPA will
calculate the new amounts for
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paragraphs (d)(1)(i) and (ii) of this
section for each year after 2008 and
every month where data is available for
the year preceding the compliance
period at the time EPA sets the
cellulosic biofuel standard.
(e) Cellulosic biofuel waiver credits
under this section will only be able to
be purchased on forms and following
procedures prescribed by EPA.
§§ 80.1457–80.1459
[Reserved]
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§ 80.1460 What acts are prohibited under
the RFS program?
(a) Renewable fuels producer or
importer violation. Except as provided
in § 80.1455, no person shall produce or
import a renewable fuel without
complying with the requirements of
§ 80.1426 regarding the generation and
assignment of RINs.
(b) RIN generation and transfer
violations. No person shall do any of the
following:
(1) Generate a RIN for a fuel that is not
a renewable fuel, or for which the
applicable renewable fuel volume was
not produced.
(2) Create or transfer to any person a
RIN that is invalid under § 80.1431.
(3) Transfer to any person a RIN that
is not properly identified as required
under § 80.1425.
(4) Transfer to any person a RIN with
a K code of 1 without transferring an
appropriate volume of renewable fuel to
the same person on the same day.
(5) Introduce into commerce any
renewable fuel produced from a
feedstock or through a process that is
not described in the person’s
registration information.
(c) RIN use violations. No person shall
do any of the following:
(1) Fail to acquire sufficient RINs, or
use invalid RINs, to meet the person’s
RVOs under § 80.1427.
(2) Fail to acquire sufficient RINs to
meet the person’s RVOs under
§ 80.1430.
(3) Use a validly generated RIN to
meet the person’s RVOs under
§ 80.1427, or separate and transfer a
validly generated RIN, where the person
ultimately uses the renewable fuel
volume associated with the RIN in an
application other than for use as
transportation fuel, jet fuel, or heating
oil (as defined in § 80.1401).
(d) RIN retention violation. No person
shall retain RINs in violation of the
requirements in § 80.1428(a)(5).
(e) Causing a violation. No person
shall cause another person to commit an
act in violation of any prohibited act
under this section.
(f) Failure to meet a requirement. No
person shall fail to meet any
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requirement that applies to that person
under this subpart.
§ 80.1461 Who is liable for violations
under the RFS program?
(a) Liability for violations of
prohibited acts.
(1) Any person who violates a
prohibition under § 80.1460(a) through
(d) is liable for the violation of that
prohibition.
(2) Any person who causes another
person to violate a prohibition under
§ 80.1460(a) through (d) is liable for a
violation of § 80.1460(e).
(b) Liability for failure to meet other
provisions of this subpart.
(1) Any person who fails to meet a
requirement of any provision of this
subpart is liable for a violation of that
provision.
(2) Any person who causes another
person to fail to meet a requirement of
any provision of this subpart is liable for
causing a violation of that provision.
(c) Parent corporation liability. Any
parent corporation is liable for any
violation of this subpart that is
committed by any of its subsidiaries.
(d) Joint venture liability. Each partner
to a joint venture is jointly and severally
liable for any violation of this subpart
that is committed by the joint venture
operation.
§ 80.1462
[Reserved]
§ 80.1463 What penalties apply under the
RFS program?
(a) Any person who is liable for a
violation under § 80.1461 is subject a to
civil penalty as specified in sections 205
and 211(d) of the Clean Air Act, for
every day of each such violation and the
amount of economic benefit or savings
resulting from each violation.
(b) Any person liable under
§ 80.1461(a) for a violation of
§ 80.1460(c) for failure to meet its RVOs,
or § 80.1460(e) for causing another
person to fail to meet their RVOs, during
any averaging period, is subject to a
separate day of violation for each day in
the averaging period.
(c) Any person liable under
§ 80.1461(b) for failure to meet, or
causing a failure to meet, a requirement
of any provision of this subpart is liable
for a separate day of violation for each
day such a requirement remains
unfulfilled.
§ 80.1464 What are the attest engagement
requirements under the RFS program?
The requirements regarding annual
attest engagements in §§ 80.125 through
80.127, and 80.130, also apply to any
attest engagement procedures required
under this subpart M. In addition to any
other applicable attest engagement
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14893
procedures, such as the requirements in
§§ 80.1465 and 80.1466, the following
annual attest engagement procedures are
required under this subpart.
(a) Obligated parties and exporters.
The following attest procedures shall be
completed for any obligated party as
stated in § 80.1406(a) or exporter of
renewable fuel:
(1) Annual compliance demonstration
report.
(i) Obtain and read a copy of the
annual compliance demonstration
report required under § 80.1451(a)(1)
which contains information regarding
all the following:
(A) The obligated party’s volume of
all products listed in § 80.1407(c) and
(e), or the exporter’s volume of each
category of exported renewable fuel
identified in § 80.1430 (b)(1)(i), (b)(1)(ii),
(b)(2)(i), and (b)(2)(ii).
(B) RVOs.
(C) RINs used for compliance.
(ii) Obtain documentation of any
volumes of renewable fuel used in
products listed in § 80.1407(c) and (e) at
the refinery or import facility or
exported during the reporting year;
compute and report as a finding the
total volumes of renewable fuel
represented in these documents.
(iii) For obligated parties, compare the
volumes of products listed in
§ 80.1407(c) and (e) reported to EPA in
the report required under § 80.1451(a)(1)
with the volumes, excluding any
renewable fuel volumes, contained in
the inventory reconciliation analysis
under § 80.133 and the volume of nonrenewable diesel produced or imported.
Verify that the volumes reported to EPA
agree with the volumes in the inventory
reconciliation analysis and the volumes
of non-renewable diesel produced or
imported, and report as a finding any
exception.
(iv) For exporters, perform all of the
following:
(A) Obtain the database, spreadsheet,
or other documentation that the
exporter maintains for purposes for all
exported renewable fuel.
(B) Compare the volume of products
identified in these documents with the
volumes reported to EPA.
(C) Verify that the volumes reported
to EPA agree with the volumes
identified in the database, spreadsheet,
or other documentation, and report as a
finding any exception.
(v) Compute and report as a finding
the obligated party’s or exporter’s RVOs,
and any deficit RVOs carried over from
the previous year or carried into the
subsequent year, and verify that the
values agree with the values reported to
EPA.
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(vi) Obtain the database, spreadsheet,
or other documentation for all RINs by
type of renewable fuel used for
compliance during the year being
reviewed; calculate the total number of
RINs associated with each type of
renewable fuel used for compliance by
year of generation represented in these
documents; state whether this
information agrees with the report to
EPA and report as a finding any
exceptions.
(vii) For exporters, perform all the
following:
(A) Select sample batches in
accordance with the guidelines in
§ 80.127 from each separate category of
renewable fuel exported and identified
in § 80.1451(a).
(B) Obtain invoices, bills of lading
and other documentation for the
representative samples. Calculate the
RVO for the exported fuel, state whether
this information agrees with the report
to EPA and report as a finding any
exception.
(C) State whether any of these
documents refer to the exported fuel as
advanced biofuel or cellulosic biofuel,
and report as a finding whether or not
the exporter calculated an advanced
biofuel or cellulosic biofuel RVO for
these fuels pursuant to § 80.1430(b)(2)(i)
or (ii).
(2) RIN transaction reports.
(i) Obtain and read copies of a
representative sample, selected in
accordance with the guidelines in
§ 80.127, of each RIN transaction type
(RINs purchased, RINs sold, RINs
retired, RINs reinstated) included in the
RIN transaction reports required under
§ 80.1451(a)(2) for the compliance year.
(ii) Obtain contracts, invoices, or
other documentation for the
representative samples of RIN
transactions; compute the transaction
types, transaction dates, and RINs
traded; state whether the information
agrees with the party’s reports to EPA
and report as a finding any exceptions.
(3) RIN activity reports.
(i) Obtain and read copies of all
quarterly RIN activity reports required
under § 80.1451(a)(3) for the compliance
year.
(ii) Obtain the database, spreadsheet,
or other documentation used to generate
the information in the RIN activity
reports; compare the RIN transaction
samples reviewed under paragraph
(a)(2) of this section with the
corresponding entries in the database or
spreadsheet and report as a finding any
discrepancies; compute the total
number of current-year and prior-year
RINs owned at the start and end of each
quarter, purchased, sold, retired and
reinstated, and for parties that reported
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RIN activity for RINs assigned to a
volume of renewable fuel, the volume
and type of renewable fuel (as defined
in § 80.1401) of renewable fuel owned at
the end of each quarter; as represented
in these documents; and state whether
this information agrees with the party’s
reports to EPA.
(b) Renewable fuel producers and
RIN-generating importers. The following
attest procedures shall be completed for
any RIN-generating renewable fuel
producer or importer:
(1) RIN generation reports.
(i) Obtain and read copies of the
reports required under § 80.1451(b)(1),
(e), and (d) for the compliance year.
(ii) Obtain production data for each
renewable fuel batch by type of
renewable fuel that was produced or
imported during the year being
reviewed; compute the RIN numbers,
production dates, types, volumes of
denaturant and applicable equivalence
values, and production volumes for
each batch; report the total RINs
generated during the year being
reviewed; and state whether this
information agrees with the party’s
reports to EPA. Report as a finding any
exceptions.
(iii) Verify that the proper number of
RINs were generated and assigned
pursuant to the requirements of
§ 80.1426 for each batch of renewable
fuel produced or imported.
(iv) Obtain product transfer
documents for a representative sample,
selected in accordance with the
guidelines in § 80.127, of renewable fuel
batches produced or imported during
the year being reviewed; verify that the
product transfer documents contain the
applicable information required under
§ 80.1453; verify the accuracy of the
information contained in the product
transfer documents; report as a finding
any product transfer document that does
not contain the applicable information
required under § 80.1453.
(v)(A) Obtain documentation, as
required under § 80.1451(b), (d), and (e)
associated with feedstock purchases for
a representative sample, selected in
accordance with the guidelines in
§ 80.127, of renewable fuel batches
produced or imported during the year
being reviewed.
(B) Verify that feedstocks were
properly identified in the reports and
met the definition of renewable biomass
in § 80.1401.
(2) RIN transaction reports.
(i) Obtain and read copies of a
representative sample, selected in
accordance with the guidelines in
§ 80.127, of each transaction type (RINs
purchased, RINs sold, RINs retired, RINs
reinstated) included in the RIN
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transaction reports required under
§ 80.1451(b)(2) for the compliance year.
(ii) Obtain contracts, invoices, or
other documentation for the
representative samples of RIN
transactions; compute the transaction
types, transaction dates, and the RINs
traded; state whether this information
agrees with the party’s reports to EPA
and report as a finding any exceptions.
(3) RIN activity reports.
(i) Obtain and read copies of the
quarterly RIN activity reports required
under § 80.1451(b)(3) for the compliance
year.
(ii) Obtain the database, spreadsheet,
or other documentation used to generate
the information in the RIN activity
reports; compare the RIN transaction
samples reviewed under paragraph
(b)(2) of this section with the
corresponding entries in the database or
spreadsheet and report as a finding any
discrepancies; report the total number of
each RIN generated during each quarter
and compute and report the total
number of current-year and prior-year
RINs owned at the start and end of each
quarter, purchased, sold, retired and
reinstated, and for parties that reported
RIN activity for RINs assigned to a
volume of renewable fuel, the volume of
renewable fuel owned at the end of each
quarter, as represented in these
documents; and state whether this
information agrees with the party’s
reports to EPA.
(4) Independent Third Party
Engineering Review.
(i) Obtain documentation of
independent third party engineering
reviews required under § 80.1450(b)(2).
(ii) Review and verify the written
verification and records generated as
part of the independent third party
engineering review.
(c) Other parties owning RINs. The
following attest procedures shall be
completed for any party other than an
obligated party or renewable fuel
producer or importer that owns any
RINs during a calendar year:
(1) RIN transaction reports.
(i) Obtain and read copies of a
representative sample, selected in
accordance with the guidelines in
§ 80.127, of each RIN transaction type
(RINs purchased, RINs sold, RINs
retired, RINs separated, RINs reinstated)
included in the RIN transaction reports
required under § 80.1451(c)(1) for the
compliance year.
(ii) Obtain contracts, invoices, or
other documentation for the
representative samples of RIN
transactions; compute the transaction
types, transaction dates, and the RINs
traded; state whether this information
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agrees with the party’s reports to EPA
and report as a finding any exceptions.
(2) RIN activity reports.
(i) Obtain and read copies of the
quarterly RIN activity reports required
under § 80.1451(c)(2) for the compliance
year.
(ii) Obtain the database, spreadsheet,
or other documentation used to generate
the information in the RIN activity
reports; compare the RIN transaction
samples reviewed under paragraph
(c)(1) of this section with the
corresponding entries in the database or
spreadsheet and report as a finding any
discrepancies; compute the total
number of current-year and prior-year
RINs owned at the start and end of each
quarter, purchased, sold, retired,
separated, and reinstated and for parties
that reported RIN activity for RINs
assigned to a volume of renewable fuel,
the volume of renewable fuel owned at
the end of each quarter, as represented
in these documents; and state whether
this information agrees with the party’s
reports to EPA.
(d) For each compliance year, each
party subject to the attest engagement
requirements under this section shall
cause the reports required under this
section to be submitted to EPA by May
31 of the year following the compliance
year.
(e) The party conducting the
procedures under this section shall
obtain a written representation from a
company representative that the copies
of the reports required under this
section are complete and accurate
copies of the reports filed with EPA.
(f) The party conducting the
procedures under this section shall
identify and report as a finding the
commercial computer program used by
the party to track the data required by
the regulations in this subpart, if any.
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§ 80.1465 What are the additional
requirements under this subpart for foreign
small refiners, foreign small refineries, and
importers of RFS–FRFUEL?
(a) Definitions. The following
additional definitions apply for this
subpart:
(1) Foreign refinery is a refinery that
is located outside the United States, the
Commonwealth of Puerto Rico, the U.S.
Virgin Islands, Guam, American Samoa,
and the Commonwealth of the Northern
Mariana Islands (collectively referred to
in this section as ‘‘the United States’’).
(2) Foreign refiner is a person that
meets the definition of refiner under
§ 80.2(i) for a foreign refinery.
(3) Foreign small refinery is a foreign
refinery that has received a small
refinery exemption under § 80.1441.
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(4) Foreign small refiner is a foreign
refiner that has received a small refiner
exemption under § 80.1442.
(5) RFS–FRFUEL is transportation fuel
produced at a foreign refinery that has
received a small refinery exemption
under § 80.1441 or by a foreign refiner
with a small refiner exemption under
§ 80.1442.
(6) Non-RFS–FRFUEL is one of the
following:
(i) Transportation fuel produced at a
foreign refinery that has received a
small refinery exemption under
§ 80.1441 or by a foreign refiner with a
small refiner exemption under
§ 80.1442.
(ii) Transportation fuel produced at a
foreign refinery that has not received a
small refinery exemption under
§ 80.1441 or by a foreign refiner that has
not received a small refiner exemption
under § 80.1442.
(b) General requirements for RFS–
FRFUEL for foreign small refineries and
small refiners. A foreign refiner must do
all the following:
(1) Designate, at the time of
production, each batch of transportation
fuel produced at the foreign refinery
that is exported for use in the United
States as RFS–FRFUEL.
(2) Meet all requirements that apply to
refiners who have received a small
refinery or small refiner exemption
under this subpart.
(c) Designation, foreign small refiner
certification, and product transfer
documents.
(1) Any foreign small refiner must
designate each batch of RFS–FRFUEL as
such at the time the transportation fuel
is produced.
(2) On each occasion when RFS–
FRFUEL is loaded onto a vessel or other
transportation mode for transport to the
United States, the foreign small refiner
shall prepare a certification for each
batch of RFS–FRFUEL that meets all the
following requirements:
(i) The certification shall include the
report of the independent third party
under paragraph (d) of this section, and
all the following additional information:
(A) The name and EPA registration
number of the refinery that produced
the RFS–FRFUEL.
(B) [Reserved]
(ii) The identification of the
transportation fuel as RFS–FRFUEL.
(iii) The volume of RFS–FRFUEL
being transported, in gallons.
(3) On each occasion when any
person transfers custody or title to any
RFS–FRFUEL prior to its being
imported into the United States, it must
include all the following information as
part of the product transfer document
information:
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(i) Designation of the transportation
fuel as RFS–FRFUEL.
(ii) The certification required under
paragraph (c)(2) of this section.
(d) Load port independent testing and
refinery identification.
(1) On each occasion that RFS–
FRFUEL is loaded onto a vessel for
transport to the United States the
foreign small refiner shall have an
independent third party do all the
following:
(i) Inspect the vessel prior to loading
and determine the volume of any tank
bottoms.
(ii) Determine the temperaturecorrected volume of RFS–FRFUEL
loaded onto the vessel (exclusive of any
tank bottoms before loading).
(iii) Obtain the EPA-assigned
registration number of the foreign
refinery.
(iv) Determine the name and country
of registration of the vessel used to
transport the RFS–FRFUEL to the
United States.
(v) Determine the date and time the
vessel departs the port serving the
foreign refinery.
(vi) Review original documents that
reflect movement and storage of the
RFS–FRFUEL from the foreign refinery
to the load port, and from this review
determine:
(A) The refinery at which the RFS–
FRFUEL was produced; and
(B) That the RFS–FRFUEL remained
segregated from Non-RFS–FRFUEL and
other RFS–FRFUEL produced at a
different refinery.
(2) The independent third party shall
submit a report to all the following:
(i) The foreign small refiner or owner
of the foreign small refinery, containing
the information required under
paragraph (d)(1) of this section, to
accompany the product transfer
documents for the vessel.
(ii) The Administrator, containing the
information required under paragraph
(d)(1) of this section, within thirty days
following the date of the independent
third party’s inspection. This report
shall include a description of the
method used to determine the identity
of the refinery at which the
transportation fuel was produced,
assurance that the transportation fuel
remained segregated as specified in
paragraph (j)(1) of this section, and a
description of the transportation fuel’s
movement and storage between
production at the source refinery and
vessel loading.
(3) The independent third party must
do all the following:
(i) Be approved in advance by EPA,
based on a demonstration of ability to
perform the procedures required in this
paragraph (d).
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(ii) Be independent under the criteria
specified in § 80.65(f)(2)(iii).
(iii) Sign a commitment that contains
the provisions specified in paragraph (f)
of this section with regard to activities,
facilities, and documents relevant to
compliance with the requirements of
this paragraph (d).
(e) Comparison of load port and port
of entry testing.
(1)(i) Any foreign small refiner or
foreign small refinery and any United
States importer of RFS–FRFUEL shall
compare the results from the load port
testing under paragraph (d) of this
section, with the port of entry testing as
reported under paragraph (k) of this
section, for the volume of transportation
fuel, except as specified in paragraph
(e)(1)(ii) of this section.
(ii) Where a vessel transporting RFS–
FRFUEL offloads this transportation fuel
at more than one United States port of
entry, the requirements of paragraph
(e)(1)(i) of this section do not apply at
subsequent ports of entry if the United
States importer obtains a certification
from the vessel owner that the
requirements of paragraph (e)(1)(i) of
this section were met and that the vessel
has not loaded any transportation fuel
or blendstock between the first United
States port of entry and any subsequent
port of entry.
(2) If the temperature-corrected
volumes determined at the port of entry
and at the load port differ by more than
one percent, the United States importer
and the foreign small refiner or foreign
small refinery shall not treat the
transportation fuel as RFS–FRFUEL and
the importer shall include the volume of
transportation fuel in the importer’s RFS
compliance calculations.
(f) Foreign refiner commitments. Any
foreign small refinery or foreign small
refiner shall commit to and comply with
the provisions contained in this
paragraph (f) as a condition to being
approved for a small refinery or small
refiner exemption under this subpart.
(1) Any United States Environmental
Protection Agency inspector or auditor
must be given full, complete, and
immediate access to conduct
inspections and audits of the foreign
refinery.
(i) Inspections and audits may be
either announced in advance by EPA, or
unannounced.
(ii) Access will be provided to any
location where:
(A) Transportation fuel is produced;
(B) Documents related to refinery
operations are kept; and
(C) RFS–FRFUEL is stored or
transported between the foreign refinery
and the United States, including storage
tanks, vessels, and pipelines.
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(iii) EPA inspectors and auditors may
be EPA employees or contractors to
EPA.
(iv) Any documents requested that are
related to matters covered by
inspections and audits must be
provided to an EPA inspector or auditor
on request.
(v) Inspections and audits may
include review and copying of any
documents related to all the following:
(A) The volume of RFS–FRFUEL.
(B) The proper classification of
transportation fuel as being RFS–
FRFUEL or as not being RFS–FRFUEL.
(C) Transfers of title or custody to
RFS–FRFUEL.
(D) Testing of RFS–FRFUEL.
(E) Work performed and reports
prepared by independent third parties
and by independent auditors under the
requirements of this section, including
work papers.
(vi) Inspections and audits may
include interviewing employees.
(vii) Any employee of the foreign
refiner must be made available for
interview by the EPA inspector or
auditor, on request, within a reasonable
time period.
(viii) English language translations of
any documents must be provided to an
EPA inspector or auditor, on request,
within 10 working days.
(ix) English language interpreters
must be provided to accompany EPA
inspectors and auditors, on request.
(2) An agent for service of process
located in the District of Columbia shall
be named, and service on this agent
constitutes service on the foreign refiner
or any employee of the foreign refiner
for any action by EPA or otherwise by
the United States related to the
requirements of this subpart.
(3) The forum for any civil or criminal
enforcement action related to the
provisions of this section for violations
of the Clean Air Act or regulations
promulgated thereunder shall be
governed by the Clean Air Act,
including the EPA administrative forum
where allowed under the Clean Air Act.
(4) United States substantive and
procedural laws shall apply to any civil
or criminal enforcement action against
the foreign refiner or any employee of
the foreign refiner related to the
provisions of this section.
(5) Submitting an application for a
small refinery or small refiner
exemption, or producing and exporting
transportation fuel under such
exemption, and all other actions to
comply with the requirements of this
subpart relating to such exemption
constitute actions or activities covered
by and within the meaning of the
provisions of 28 U.S.C. 1605(a)(2), but
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solely with respect to actions instituted
against the foreign refiner, its agents and
employees in any court or other tribunal
in the United States for conduct that
violates the requirements applicable to
the foreign refiner under this subpart,
including conduct that violates the
False Statements Accountability Act of
1996 (18 U.S.C. 1001) and section
113(c)(2) of the Clean Air Act (42 U.S.C.
7413).
(6) The foreign refiner, or its agents or
employees, will not seek to detain or to
impose civil or criminal remedies
against EPA inspectors or auditors,
whether EPA employees or EPA
contractors, for actions performed
within the scope of EPA employment or
contract related to the provisions of this
section.
(7) The commitment required by this
paragraph (f) shall be signed by the
owner or president of the foreign refiner
business.
(8) In any case where RFS–FRFUEL
produced at a foreign refinery is stored
or transported by another company
between the refinery and the vessel that
transports the RFS–FRFUEL to the
United States, the foreign refiner shall
obtain from each such other company a
commitment that meets the
requirements specified in paragraphs
(f)(1) through (f)(7) of this section, and
these commitments shall be included in
the foreign refiner’s application for a
small refinery or small refiner
exemption under this subpart.
(g) Sovereign immunity. By
submitting an application for a small
refinery or small refiner exemption
under this subpart, or by producing and
exporting transportation fuel to the
United States under such exemption,
the foreign refiner, and its agents and
employees, without exception, become
subject to the full operation of the
administrative and judicial enforcement
powers and provisions of the United
States without limitation based on
sovereign immunity, with respect to
actions instituted against the foreign
refiner, its agents and employees in any
court or other tribunal in the United
States for conduct that violates the
requirements applicable to the foreign
refiner under this subpart, including
conduct that violates the False
Statements Accountability Act of 1996
(18 U.S.C. 1001) and section 113(c)(2) of
the Clean Air Act (42 U.S.C. 7413).
(h) Bond posting. Any foreign refiner
shall meet the requirements of this
paragraph (h) as a condition to approval
of a foreign small refinery or foreign
small refiner exemption under this
subpart.
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(1) The foreign refiner shall post a
bond of the amount calculated using the
following equation:
Bond = G * $ 0.01
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Where:
Bond = amount of the bond in United States
dollars.
G = the largest volume of transportation fuel
produced at the foreign refinery and
exported to the United States, in gallons,
during a single calendar year among the
most recent of the following calendar
years, up to a maximum of five calendar
years: the calendar year immediately
preceding the date the refinery’s or
refiner’s application is submitted, the
calendar year the application is
submitted, and each succeeding calendar
year.
(2) Bonds shall be posted by:
(i) Paying the amount of the bond to
the Treasurer of the United States;
(ii) Obtaining a bond in the proper
amount from a third party surety agent
that is payable to satisfy United States
administrative or judicial judgments
against the foreign refiner, provided
EPA agrees in advance as to the third
party and the nature of the surety
agreement; or
(iii) An alternative commitment that
results in assets of an appropriate
liquidity and value being readily
available to the United States, provided
EPA agrees in advance as to the
alternative commitment.
(3) Bonds posted under this paragraph
(h) shall:
(i) Be used to satisfy any judicial
judgment that results from an
administrative or judicial enforcement
action for conduct in violation of this
subpart, including where such conduct
violates the False Statements
Accountability Act of 1996 (18 U.S.C.
1001) and section 113(c)(2) of the Clean
Air Act (42 U.S.C. 7413);
(ii) Be provided by a corporate surety
that is listed in the United States
Department of Treasury Circular 570
‘‘Companies Holding Certificates of
Authority as Acceptable Sureties on
Federal Bonds’’; and
(iii) Include a commitment that the
bond will remain in effect for at least
five years following the end of latest
annual reporting period that the foreign
refiner produces transportation fuel
pursuant to the requirements of this
subpart.
(4) On any occasion a foreign refiner
bond is used to satisfy any judgment,
the foreign refiner shall increase the
bond to cover the amount used within
90 days of the date the bond is used.
(5) If the bond amount for a foreign
refiner increases, the foreign refiner
shall increase the bond to cover the
shortfall within 90 days of the date the
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14:37 Mar 25, 2010
Jkt 220001
bond amount changes. If the bond
amount decreases, the foreign refiner
may reduce the amount of the bond
beginning 90 days after the date the
bond amount changes.
(i) English language reports. Any
document submitted to EPA by a foreign
refiner shall be in English, or shall
include an English language translation.
(j) Prohibitions.
(1) No person may combine RFS–
FRFUEL with any Non-RFS–FRFUEL,
and no person may combine RFS–
FRFUEL with any RFS–FRFUEL
produced at a different refinery, until
the importer has met all the
requirements of paragraph (k) of this
section.
(2) No foreign refiner or other person
may cause another person to commit an
action prohibited in paragraph (j)(1) of
this section, or that otherwise violates
the requirements of this section.
(k) United States importer
requirements. Any United States
importer of RFS–FRFUEL shall meet the
following requirements:
(1) Each batch of imported RFS–
FRFUEL shall be classified by the
importer as being RFS–FRFUEL.
(2) Transportation fuel shall be
classified as RFS–FRFUEL according to
the designation by the foreign refiner if
this designation is supported by product
transfer documents prepared by the
foreign refiner as required in paragraph
(c) of this section. Additionally, the
importer shall comply with all
requirements of this subpart applicable
to importers.
(3) For each transportation fuel batch
classified as RFS–FRFUEL, any United
States importer shall have an
independent third party do all the
following:
(i) Determine the volume of
transportation fuel in the vessel.
(ii) Use the foreign refiner’s RFS–
FRFUEL certification to determine the
name and EPA-assigned registration
number of the foreign refinery that
produced the RFS–FRFUEL.
(iii) Determine the name and country
of registration of the vessel used to
transport the RFS–FRFUEL to the
United States.
(iv) Determine the date and time the
vessel arrives at the United States port
of entry.
(4) Any importer shall submit reports
within 30 days following the date any
vessel transporting RFS–FRFUEL arrives
at the United States port of entry to:
(i) The Administrator, containing the
information determined under
paragraph (k)(3) of this section; and
(ii) The foreign refiner, containing the
information determined under
paragraph (k)(3)(i) of this section, and
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14897
including identification of the port at
which the product was off loaded.
(5) Any United States importer shall
meet all other requirements of this
subpart for any imported transportation
fuel that is not classified as RFS–
FRFUEL under paragraph (k)(2) of this
section.
(l) Truck imports of RFS–FRFUEL
produced at a foreign refinery.
(1) Any refiner whose RFS–FRFUEL is
transported into the United States by
truck may petition EPA to use
alternative procedures to meet all the
following requirements:
(i) Certification under paragraph (c)(2)
of this section.
(ii) Load port and port of entry testing
requirements under paragraphs (d) and
(e) of this section.
(iii) Importer testing requirements
under paragraph (k)(3) of this section.
(2) These alternative procedures must
ensure RFS–FRFUEL remains segregated
from Non-RFS–FRFUEL until it is
imported into the United States. The
petition will be evaluated based on
whether it adequately addresses all the
following:
(i) Provisions for monitoring pipeline
shipments, if applicable, from the
refinery, that ensure segregation of RFS–
FRFUEL from that refinery from all
other transportation fuel.
(ii) Contracts with any terminals and/
or pipelines that receive and/or
transport RFS–FRFUEL that prohibit the
commingling of RFS–FRFUEL with
Non-RFS–FRFUEL or RFS–FRFUEL
from other foreign refineries.
(iii) Attest procedures to be conducted
annually by an independent third party
that review loading records and import
documents based on volume
reconciliation, or other criteria, to
confirm that all RFS–FRFUEL remains
segregated throughout the distribution
system.
(3) The petition described in this
section must be submitted to EPA along
with the application for a small refinery
or small refiner exemption under this
subpart.
(m) Additional attest requirements for
importers of RFS–FRFUEL. The
following additional procedures shall be
carried out by any importer of RFS–
FRFUEL as part of the attest engagement
required for importers under this
subpart M.
(1) Obtain listings of all tenders of
RFS–FRFUEL. Agree the total volume of
tenders from the listings to the
transportation fuel inventory
reconciliation analysis required in
§ 80.133(b), and to the volumes
determined by the third party under
paragraph (d) of this section.
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(2) For each tender under paragraph
(m)(1) of this section, where the
transportation fuel is loaded onto a
marine vessel, report as a finding the
name and country of registration of each
vessel, and the volumes of RFS–
FRFUEL loaded onto each vessel.
(3) Select a sample from the list of
vessels identified per paragraph (m)(2)
of this section used to transport RFS–
FRFUEL, in accordance with the
guidelines in § 80.127, and for each
vessel selected perform all the
following:
(i) Obtain the report of the
independent third party, under
paragraph (d) of this section.
(A) Agree the information in these
reports with regard to vessel
identification and transportation fuel
volume.
(B) Identify, and report as a finding,
each occasion the load port and port of
entry volume results differ by more than
the amount allowed in paragraph (e)(2)
of this section, and determine whether
all of the requirements of paragraph
(e)(2) of this section have been met.
(ii) Obtain the documents used by the
independent third party to determine
transportation and storage of the RFS–
FRFUEL from the refinery to the load
port, under paragraph (d) of this section.
Obtain tank activity records for any
storage tank where the RFS–FRFUEL is
stored, and pipeline activity records for
any pipeline used to transport the RFS–
FRFUEL prior to being loaded onto the
vessel. Use these records to determine
whether the RFS–FRFUEL was
produced at the refinery that is the
subject of the attest engagement, and
whether the RFS–FRFUEL was mixed
with any Non-RFS–FRFUEL or any
RFS–FRFUEL produced at a different
refinery.
(4) Select a sample from the list of
vessels identified per paragraph (m)(2)
of this section used to transport RFS–
FRFUEL, in accordance with the
guidelines in § 80.127, and for each
vessel selected perform all of the
following:
(i) Obtain a commercial document of
general circulation that lists vessel
arrivals and departures, and that
includes the port and date of departure
of the vessel, and the port of entry and
date of arrival of the vessel.
(ii) Agree the vessel’s departure and
arrival locations and dates from the
independent third party and United
States importer reports to the
information contained in the
commercial document.
(5) Obtain separate listings of all
tenders of RFS–FRFUEL, and perform
all the following:
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14:37 Mar 25, 2010
Jkt 220001
(i) Agree the volume of tenders from
the listings to the transportation fuel
inventory reconciliation analysis in
§ 80.133(b).
(ii) Obtain a separate listing of the
tenders under this paragraph (m)(5)
where the transportation fuel is loaded
onto a marine vessel. Select a sample
from this listing in accordance with the
guidelines in § 80.127, and obtain a
commercial document of general
circulation that lists vessel arrivals and
departures, and that includes the port
and date of departure and the ports and
dates where the transportation fuel was
off loaded for the selected vessels.
Determine and report as a finding the
country where the transportation fuel
was off loaded for each vessel selected.
(6) In order to complete the
requirements of this paragraph (m), an
auditor shall do all the following:
(i) Be independent of the foreign
refiner or importer.
(ii) Be licensed as a Certified Public
Accountant in the United States and a
citizen of the United States, or be
approved in advance by EPA based on
a demonstration of ability to perform the
procedures required in §§ 80.125
through 80.127, 80.130, 80.1464, and
this paragraph (m).
(iii) Sign a commitment that contains
the provisions specified in paragraph (f)
of this section with regard to activities
and documents relevant to compliance
with the requirements of §§ 80.125
through 80.127, 80.130, 80.1464, and
this paragraph (m).
(n) Withdrawal or suspension of
foreign small refiner or foreign small
refinery status. EPA may withdraw or
suspend a foreign refiner’s small
refinery or small refiner exemption
where:
(1) A foreign refiner fails to meet any
requirement of this section;
(2) A foreign government fails to
allow EPA inspections as provided in
paragraph (f)(1) of this section;
(3) A foreign refiner asserts a claim of,
or a right to claim, sovereign immunity
in an action to enforce the requirements
in this subpart; or
(4) A foreign refiner fails to pay a civil
or criminal penalty that is not satisfied
using the foreign refiner bond specified
in paragraph (h) of this section.
(o) Additional requirements for
applications, reports and certificates.
Any application for a small refinery or
small refiner exemption, alternative
procedures under paragraph (l) of this
section, any report, certification, or
other submission required under this
section shall be:
(1) Submitted in accordance with
procedures specified by the
Administrator, including use of any
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forms that may be specified by the
Administrator.
(2) Signed by the president or owner
of the foreign refiner company, or by
that person’s immediate designee, and
shall contain the following declaration:
‘‘I hereby certify: (1) That I have actual
authority to sign on behalf of and to
bind [insert name of foreign refiner]
with regard to all statements contained
herein; (2) that I am aware that the
information contained herein is being
Certified, or submitted to the United
States Environmental Protection
Agency, under the requirements of 40
CFR part 80, subpart M, and that the
information is material for determining
compliance under these regulations; and
(3) that I have read and understand the
information being Certified or
submitted, and this information is true,
complete and correct to the best of my
knowledge and belief after I have taken
reasonable and appropriate steps to
verify the accuracy thereof. I affirm that
I have read and understand the
provisions of 40 CFR part 80, subpart M,
including 40 CFR 80.1465 apply to
[INSERT NAME OF FOREIGN
REFINER]. Pursuant to Clean Air Act
section 113(c) and 18 U.S.C. 1001, the
penalty for furnishing false, incomplete
or misleading information in this
certification or submission is a fine of
up to $10,000 U.S., and/or
imprisonment for up to five years.’’
§ 80.1466 What are the additional
requirements under this subpart for RINgenerating foreign producers and importers
of renewable fuels for which RINs have
been generated by the foreign producer?
(a) Foreign producer of renewable
fuel. For purposes of this subpart, a
foreign producer of renewable fuel is a
person located outside the United
States, the Commonwealth of Puerto
Rico, the Virgin Islands, Guam,
American Samoa, and the
Commonwealth of the Northern Mariana
Islands (collectively referred to in this
section as ‘‘the United States’’) that has
been approved by EPA to generate RINs
for renewable fuel it produces for export
to the United States, hereinafter referred
to as a ‘‘foreign producer’’ under this
section.
(b) General requirements. An
approved foreign producer under this
section must meet all requirements that
apply to renewable fuel producers
under this subpart.
(c) Designation, foreign producer
certification, and product transfer
documents.
(1) Any approved foreign producer
under this section that generates RINs
for renewable fuel must designate each
batch of such renewable fuel as ‘‘RFS–
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FRRF’’ at the time the renewable fuel is
produced.
(2) On each occasion when RFS–FRRF
is transferred for transport to a vessel or
loaded onto a vessel or other
transportation mode for transport to the
United States, the RIN-generating
foreign producer shall prepare a
certification for each batch of RFS–
FRRF; the certification shall include the
report of the independent third party
under paragraph (d) of this section, and
all the following additional information:
(i) The name and EPA registration
number of the company that produced
the RFS–FRRF.
(ii) The identification of the
renewable fuel as RFS–FRRF.
(iii) The identification of the
renewable fuel by type, D code, and
number of RINs generated.
(iv) The volume of RFS–FRRF,
standardized per § 80.1426(f)(8), being
transported, in gallons.
(3) On each occasion when any
person transfers custody or title to any
RFS–FRRF prior to its being imported
into the United States, it must include
all the following information as part of
the product transfer document
information:
(i) Designation of the renewable fuel
as RFS–FRRF.
(ii) The certification required under
paragraph (c)(2) of this section.
(d) Load port independent testing and
producer identification.
(1) On each occasion that RFS–FRRF
is loaded onto a vessel for transport to
the United States the RIN-generating
foreign producer shall have an
independent third party do all the
following:
(i) Inspect the vessel prior to loading
and determine the volume of any tank
bottoms.
(ii) Determine the volume of RFS–
FRRF, standardized per § 80.1426(f)(8),
loaded onto the vessel (exclusive of any
tank bottoms before loading).
(iii) Obtain the EPA-assigned
registration number of the foreign
producer.
(iv) Determine the name and country
of registration of the vessel used to
transport the RFS–FRRF to the United
States.
(v) Determine the date and time the
vessel departs the port serving the
foreign producer.
(vi) Review original documents that
reflect movement and storage of the
RFS–FRRF from the RIN-generating
foreign producer to the load port, and
from this review determine all the
following:
(A) The facility at which the RFS–
FRRF was produced.
(B) That the RFS–FRRF remained
segregated from Non-RFS–FRRF and
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Jkt 220001
other RFS–FRRF produced by a
different foreign producer.
(2) The independent third party shall
submit a report to the following:
(i) The RIN-generating foreign
producer, containing the information
required under paragraph (d)(1) of this
section, to accompany the product
transfer documents for the vessel.
(ii) The Administrator, containing the
information required under paragraph
(d)(1) of this section, within thirty days
following the date of the independent
third party’s inspection. This report
shall include a description of the
method used to determine the identity
of the foreign producer facility at which
the renewable fuel was produced,
assurance that the renewable fuel
remained segregated as specified in
paragraph (j)(1) of this section, and a
description of the renewable fuel’s
movement and storage between
production at the source facility and
vessel loading.
(3) The independent third party must:
(i) Be approved in advance by EPA,
based on a demonstration of ability to
perform the procedures required in this
paragraph (d);
(ii) Be independent under the criteria
specified in § 80.65(e)(2)(iii); and
(iii) Sign a commitment that contains
the provisions specified in paragraph (f)
of this section with regard to activities,
facilities and documents relevant to
compliance with the requirements of
this paragraph (d).
(e) Comparison of load port and port
of entry testing.
(1)(i) Any RIN-generating foreign
producer and any United States
importer of RFS–FRRF shall compare
the results from the load port testing
under paragraph (d) of this section, with
the port of entry testing as reported
under paragraph (k) of this section, for
the volume of renewable fuel,
standardized per § 80.1426(f)(8), except
as specified in paragraph (e)(1)(ii) of this
section.
(ii) Where a vessel transporting RFS–
FRRF offloads the renewable fuel at
more than one United States port of
entry, the requirements of paragraph
(e)(1)(i) of this section do not apply at
subsequent ports of entry if the United
States importer obtains a certification
from the vessel owner that the
requirements of paragraph (e)(1)(i) of
this section were met and that the vessel
has not loaded any renewable fuel
between the first United States port of
entry and the subsequent ports of entry.
(2)(i) If the temperature-corrected
volumes, after accounting for tank
bottoms, determined at the port of entry
and at the load port differ by more than
one percent, the number of RINs
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14899
associated with the renewable fuel shall
be calculated based on the lesser of the
two volumes in paragraph (e)(1)(i) of
this section.
(ii) Where the port of entry volume is
the lesser of the two volumes in
paragraph (e)(1)(i) of this section, the
importer shall calculate the difference
between the number of RINs originally
assigned by the foreign producer and
the number of RINs calculated under
§ 80.1426 for the volume of renewable
fuel as measured at the port of entry,
and acquire and retire that amount of
RINs in accordance with paragraph
(k)(3) of this section.
(f) Foreign producer commitments.
Any RIN-generating foreign producer
shall commit to and comply with the
provisions contained in this paragraph
(f) as a condition to being approved as
a foreign producer under this subpart.
(1) Any United States Environmental
Protection Agency inspector or auditor
must be given full, complete, and
immediate access to conduct
inspections and audits of the foreign
producer facility.
(i) Inspections and audits may be
either announced in advance by EPA, or
unannounced.
(ii) Access will be provided to any
location where:
(A) Renewable fuel is produced;
(B) Documents related to renewable
fuel producer operations are kept; and
(C) RFS–FRRF is stored or transported
between the foreign producer and the
United States, including storage tanks,
vessels and pipelines.
(iii) EPA inspectors and auditors may
be EPA employees or contractors to
EPA.
(iv) Any documents requested that are
related to matters covered by
inspections and audits must be
provided to an EPA inspector or auditor
on request.
(v) Inspections and audits may
include review and copying of any
documents related to the following:
(A) The volume of RFS–FRRF.
(B) The proper classification of
renewable fuel as being RFS–FRRF.
(C) Transfers of title or custody to
RFS–FRRF.
(D) Work performed and reports
prepared by independent third parties
and by independent auditors under the
requirements of this section, including
work papers.
(vi) Inspections and audits by EPA
may include interviewing employees.
(vii) Any employee of the foreign
producer must be made available for
interview by the EPA inspector or
auditor, on request, within a reasonable
time period.
(viii) English language translations of
any documents must be provided to an
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EPA inspector or auditor, on request,
within 10 working days.
(ix) English language interpreters
must be provided to accompany EPA
inspectors and auditors, on request.
(2) An agent for service of process
located in the District of Columbia shall
be named, and service on this agent
constitutes service on the foreign
producer or any employee of the foreign
producer for any action by EPA or
otherwise by the United States related to
the requirements of this subpart.
(3) The forum for any civil or criminal
enforcement action related to the
provisions of this section for violations
of the Clean Air Act or regulations
promulgated thereunder shall be
governed by the Clean Air Act,
including the EPA administrative forum
where allowed under the Clean Air Act.
(4) United States substantive and
procedural laws shall apply to any civil
or criminal enforcement action against
the foreign producer or any employee of
the foreign producer related to the
provisions of this section.
(5) Applying to be an approved
foreign producer under this section, or
producing or exporting renewable fuel
under such approval, and all other
actions to comply with the requirements
of this subpart relating to such approval
constitute actions or activities covered
by and within the meaning of the
provisions of 28 U.S.C. 1605(a)(2), but
solely with respect to actions instituted
against the foreign producer, its agents
and employees in any court or other
tribunal in the United States for conduct
that violates the requirements
applicable to the foreign producer under
this subpart, including conduct that
violates the False Statements
Accountability Act of 1996 (18 U.S.C.
1001) and section 113(c)(2) of the Clean
Air Act (42 U.S.C. 7413).
(6) The foreign producer, or its agents
or employees, will not seek to detain or
to impose civil or criminal remedies
against EPA inspectors or auditors for
actions performed within the scope of
EPA employment or contract related to
the provisions of this section.
(7) The commitment required by this
paragraph (f) shall be signed by the
owner or president of the foreign
producer company.
(8) In any case where RFS–FRRF
produced at a foreign producer facility
is stored or transported by another
company between the production
facility and the vessel that transports the
RFS–FRRF to the United States, the
foreign producer shall obtain from each
such other company a commitment that
meets the requirements specified in
paragraphs (f)(1) through (7) of this
section, and these commitments shall be
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included in the foreign producer’s
application to be an approved foreign
producer under this subpart.
(g) Sovereign immunity. By
submitting an application to be an
approved foreign producer under this
subpart, or by producing and exporting
renewable fuel to the United States
under such approval, the foreign
producer, and its agents and employees,
without exception, become subject to
the full operation of the administrative
and judicial enforcement powers and
provisions of the United States without
limitation based on sovereign immunity,
with respect to actions instituted against
the foreign producer, its agents and
employees in any court or other tribunal
in the United States for conduct that
violates the requirements applicable to
the foreign producer under this subpart,
including conduct that violates the
False Statements Accountability Act of
1996 (18 U.S.C. 1001) and section
113(c)(2) of the Clean Air Act (42 U.S.C.
7413).
(h) Bond posting. Any RIN-generating
foreign producer shall meet the
requirements of this paragraph (h) as a
condition to approval as a foreign
producer under this subpart.
(1) The RIN-generating foreign
producer shall post a bond of the
amount calculated using the following
equation:
Bond = G * $ 0.01
Where:
Bond = amount of the bond in U.S. dollars.
G = the greater of: the largest volume of
renewable fuel produced by the foreign
producer and exported to the United
States, in gallons, during a single
calendar year among the five preceding
calendar years, or the largest volume of
renewable fuel that the foreign producers
expects to export to the Unites States
during any calendar year identified in
the Production Outlook Report required
by § 80.1449. If the volume of renewable
fuel exported to the United States
increases above the largest volume
identified in the Production Outlook
Report during any calendar year, the
foreign producer shall increase the bond
to cover the shortfall within 90 days.
(2) Bonds shall be posted by any of
the following methods:
(i) Paying the amount of the bond to
the Treasurer of the United States.
(ii) Obtaining a bond in the proper
amount from a third party surety agent
that is payable to satisfy United States
administrative or judicial judgments
against the foreign producer, provided
EPA agrees in advance as to the third
party and the nature of the surety
agreement.
(iii) An alternative commitment that
results in assets of an appropriate
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liquidity and value being readily
available to the United States provided
EPA agrees in advance as to the
alternative commitment.
(3) Bonds posted under this paragraph
(h) shall:
(i) Be used to satisfy any judicial
judgment that results from an
administrative or judicial enforcement
action for conduct in violation of this
subpart, including where such conduct
violates the False Statements
Accountability Act of 1996 (18 U.S.C.
1001) and section 113(c)(2) of the Clean
Air Act (42 U.S.C. 7413);
(ii) Be provided by a corporate surety
that is listed in the United States
Department of Treasury Circular 570
‘‘Companies Holding Certificates of
Authority as Acceptable Sureties on
Federal Bonds’’; and
(iii) Include a commitment that the
bond will remain in effect for at least
five years following the end of latest
annual reporting period that the foreign
producer produces renewable fuel
pursuant to the requirements of this
subpart.
(4) On any occasion a foreign
producer bond is used to satisfy any
judgment, the foreign producer shall
increase the bond to cover the amount
used within 90 days of the date the
bond is used.
(i) English language reports. Any
document submitted to EPA by a foreign
producer shall be in English, or shall
include an English language translation.
(j) Prohibitions.
(1) No person may combine RFS–
FRRF with any Non-RFS–FRRF, and no
person may combine RFS–FRRF with
any RFS–FRRF produced at a different
production facility, until the importer
has met all the requirements of
paragraph (k) of this section.
(2) No foreign producer or other
person may cause another person to
commit an action prohibited in
paragraph (j)(1) of this section, or that
otherwise violates the requirements of
this section.
(3) No foreign producer and importer
may generate RINs for the same volume
of renewable fuel.
(4) A foreign producer of renewable
fuel is prohibited from generating RINs
in excess of the number for which the
bond requirements of this section have
been satisfied.
(k) Requirements for United States
importers of RFS–FRRF. Any United
States importers of RFS–FRRF shall
meet all the following requirements:
(1) Renewable fuel shall be classified
as RFS–FRRF according to the
designation by the foreign producer if
this designation is supported by product
transfer documents prepared by the
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foreign producer as required in
paragraph (c) of this section.
(2) For each renewable fuel batch
classified as RFS–FRRF, any United
States importer shall have an
independent third party do all the
following:
(i) Determine the volume of renewable
fuel, standardized per § 80.1426(f)(8), in
the vessel.
(ii) Use the foreign producer’s RFS–
FRRF certification to determine the
name and EPA-assigned registration
number of the foreign producer that
produced the RFS–FRRF.
(iii) Determine the name and country
of registration of the vessel used to
transport the RFS–FRRF to the United
States.
(iv) Determine the date and time the
vessel arrives at the United States port
of entry.
(3) Where the importer is required to
retire RINs under paragraph (e)(2) of this
section, the importer must report the
retired RINs in the applicable reports
under § 80.1451.
(4) Any importer shall submit reports
within 30 days following the date any
vessel transporting RFS–FRRF arrives at
the United States port of entry to all the
following:
(i) The Administrator, containing the
information determined under
paragraph (k)(2) of this section.
(ii) The foreign producer, containing
the information determined under
paragraph (k)(2)(i) of this section, and
including identification of the port at
which the product was offloaded, and
any RINs retired under paragraph (e)(2)
of this section.
(5) Any United States importer shall
meet all other requirements of this
subpart for any imported renewable fuel
that is not classified as RFS–FRRF
under paragraph (k)(1) of this section.
(l) Truck imports of RFS–FRRF
produced by a foreign producer.
(1) Any foreign producer whose RFS–
FRRF is transported into the United
States by truck may petition EPA to use
alternative procedures to meet all the
following requirements:
(i) Certification under paragraph (c)(2)
of this section.
(ii) Load port and port of entry testing
under paragraphs (d) and (e) of this
section.
(iii) Importer testing under paragraph
(k)(2) of this section.
(2) These alternative procedures must
ensure RFS–FRRF remains segregated
from Non-RFS–FRRF until it is
imported into the United States. The
petition will be evaluated based on
whether it adequately addresses all of
the following:
(i) Contracts with any facilities that
receive and/or transport RFS–FRRF that
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14:37 Mar 25, 2010
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prohibit the commingling of RFS–FRRF
with Non-RFS–FRRF or RFS–FRRF from
other foreign producers.
(ii) Attest procedures to be conducted
annually by an independent third party
that review loading records and import
documents based on volume
reconciliation to confirm that all RFS–
FRRF remains segregated.
(3) The petition described in this
section must be submitted to EPA along
with the application for approval as a
foreign producer under this subpart.
(m) Additional attest requirements for
producers of RFS–FRRF. The following
additional procedures shall be carried
out by any producer of RFS–FRRF as
part of the attest engagement required
for renewable fuel producers under this
subpart M.
(1) Obtain listings of all tenders of
RFS–FRRF. Agree the total volume of
tenders from the listings to the volumes
determined by the third party under
paragraph (d) of this section.
(2) For each tender under paragraph
(m)(1) of this section, where the
renewable fuel is loaded onto a marine
vessel, report as a finding the name and
country of registration of each vessel,
and the volumes of RFS–FRRF loaded
onto each vessel.
(3) Select a sample from the list of
vessels identified in paragraph (m)(2) of
this section used to transport RFS–
FRRF, in accordance with the guidelines
in § 80.127, and for each vessel selected
perform all the following:
(i) Obtain the report of the
independent third party, under
paragraph (d) of this section, and of the
United States importer under paragraph
(k) of this section.
(A) Agree the information in these
reports with regard to vessel
identification and renewable fuel
volume.
(B) Identify, and report as a finding,
each occasion the load port and port of
entry volume results differ by more than
the amount allowed in paragraph (e) of
this section, and determine whether the
importer retired the appropriate amount
of RINs as required under paragraph
(e)(2) of this section, and submitted the
applicable reports under § 80.1451 in
accordance with paragraph (k)(4) of this
section.
(ii) Obtain the documents used by the
independent third party to determine
transportation and storage of the RFS–
FRRF from the foreign producer’s
facility to the load port, under
paragraph (d) of this section. Obtain
tank activity records for any storage tank
where the RFS–FRRF is stored, and
activity records for any mode of
transportation used to transport the
RFS–FRRF prior to being loaded onto
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14901
the vessel. Use these records to
determine whether the RFS–FRRF was
produced at the foreign producer’s
facility that is the subject of the attest
engagement, and whether the RFS–
FRRF was mixed with any Non-RFS–
FRRF or any RFS–FRRF produced at a
different facility.
(4) Select a sample from the list of
vessels identified in paragraph (m)(2) of
this section used to transport RFS–
FRRF, in accordance with the guidelines
in § 80.127, and for each vessel selected
perform the following:
(i) Obtain a commercial document of
general circulation that lists vessel
arrivals and departures, and that
includes the port and date of departure
of the vessel, and the port of entry and
date of arrival of the vessel.
(ii) Agree the vessel’s departure and
arrival locations and dates from the
independent third party and United
States importer reports to the
information contained in the
commercial document.
(5) Obtain a separate listing of the
tenders under this paragraph (m)(5)
where the RFS–FRRF is loaded onto a
marine vessel. Select a sample from this
listing in accordance with the
guidelines in § 80.127, and obtain a
commercial document of general
circulation that lists vessel arrivals and
departures, and that includes the port
and date of departure and the ports and
dates where the renewable fuel was
offloaded for the selected vessels.
Determine and report as a finding the
country where the renewable fuel was
offloaded for each vessel selected.
(6) In order to complete the
requirements of this paragraph (m) an
auditor shall:
(i) Be independent of the foreign
producer;
(ii) Be licensed as a Certified Public
Accountant in the United States and a
citizen of the United States, or be
approved in advance by EPA based on
a demonstration of ability to perform the
procedures required in §§ 80.125
through 80.127, 80.130, 80.1464, and
this paragraph (m); and
(iii) Sign a commitment that contains
the provisions specified in paragraph (f)
of this section with regard to activities
and documents relevant to compliance
with the requirements of §§ 80.125
through 80.127, 80.130, 80.1464, and
this paragraph (m).
(n) Withdrawal or suspension of
foreign producer approval. EPA may
withdraw or suspend a foreign
producer’s approval where any of the
following occur:
(1) A foreign producer fails to meet
any requirement of this section.
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(2) A foreign government fails to
allow EPA inspections or audits as
provided in paragraph (f)(1) of this
section.
(3) A foreign producer asserts a claim
of, or a right to claim, sovereign
immunity in an action to enforce the
requirements in this subpart.
(4) A foreign producer fails to pay a
civil or criminal penalty that is not
satisfied using the foreign producer
bond specified in paragraph (h) of this
section.
(o) Additional requirements for
applications, reports and certificates.
Any application for approval as a
foreign producer, alternative procedures
under paragraph (l) of this section, any
report, certification, or other submission
required under this section shall be:
(1) Submitted in accordance with
procedures specified by the
Administrator, including use of any
forms that may be specified by the
Administrator.
(2) Signed by the president or owner
of the foreign producer company, or by
that person’s immediate designee, and
shall contain the following declaration:
‘‘I hereby certify: (1) That I have actual
authority to sign on behalf of and to
bind [INSERT NAME OF FOREIGN
PRODUCER] with regard to all
statements contained herein; (2) that I
am aware that the information
contained herein is being Certified, or
submitted to the United States
Environmental Protection Agency,
under the requirements of 40 CFR part
80, subpart M, and that the information
is material for determining compliance
under these regulations; and (3) that I
have read and understand the
information being Certified or
submitted, and this information is true,
complete and correct to the best of my
knowledge and belief after I have taken
reasonable and appropriate steps to
verify the accuracy thereof. I affirm that
I have read and understand the
provisions of 40 CFR part 80, subpart M,
including 40 CFR 80.1465 apply to
[INSERT NAME OF FOREIGN
PRODUCER]. Pursuant to Clean Air Act
section 113(c) and 18 U.S.C. 1001, the
penalty for furnishing false, incomplete
or misleading information in this
certification or submission is a fine of
up to $10,000 U.S., and/or
imprisonment for up to five years.’’.
§ 80.1467 What are the additional
requirements under this subpart for a
foreign RIN owner?
(a) Foreign RIN owner. For purposes
of this subpart, a foreign RIN owner is
a person located outside the United
States, the Commonwealth of Puerto
Rico, the Virgin Islands, Guam,
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Jkt 220001
American Samoa, and the
Commonwealth of the Northern Mariana
Islands (collectively referred to in this
section as ‘‘the United States’’) that has
been approved by EPA to own RINs.
(b) General Requirement. An
approved foreign RIN owner must meet
all requirements that apply to parties
who own RINs under this subpart.
(c) Foreign RIN owner commitments.
Any person shall commit to and comply
with the provisions contained in this
paragraph (c) as a condition to being
approved as a foreign RIN owner under
this subpart.
(1) Any United States Environmental
Protection Agency inspector or auditor
must be given full, complete, and
immediate access to conduct
inspections and audits of the foreign
RIN owner’s place of business.
(i) Inspections and audits may be
either announced in advance by EPA, or
unannounced.
(ii) Access will be provided to any
location where documents related to
RINs the foreign RIN owner has
obtained, sold, transferred or held are
kept.
(iii) Inspections and audits may be by
EPA employees or contractors to EPA.
(iv) Any documents requested that are
related to matters covered by
inspections and audits must be
provided to an EPA inspector or auditor
on request.
(v) Inspections and audits by EPA
may include review and copying of any
documents related to the following:
(A) Transfers of title to RINs.
(B) Work performed and reports
prepared by independent auditors under
the requirements of this section,
including work papers.
(vi) Inspections and audits by EPA
may include interviewing employees.
(vii) Any employee of the foreign RIN
owner must be made available for
interview by the EPA inspector or
auditor, on request, within a reasonable
time period.
(viii) English language translations of
any documents must be provided to an
EPA inspector or auditor, on request,
within 10 working days.
(ix) English language interpreters
must be provided to accompany EPA
inspectors and auditors, on request.
(2) An agent for service of process
located in the District of Columbia shall
be named, and service on this agent
constitutes service on the foreign RIN
owner or any employee of the foreign
RIN owner for any action by EPA or
otherwise by the United States related to
the requirements of this subpart.
(3) The forum for any civil or criminal
enforcement action related to the
provisions of this section for violations
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of the Clean Air Act or regulations
promulgated thereunder shall be
governed by the Clean Air Act,
including the EPA administrative forum
where allowed under the Clean Air Act.
(4) United States substantive and
procedural laws shall apply to any civil
or criminal enforcement action against
the foreign RIN owner or any employee
of the foreign RIN owner related to the
provisions of this section.
(5) Submitting an application to be a
foreign RIN owner, and all other actions
to comply with the requirements of this
subpart constitute actions or activities
covered by and within the meaning of
the provisions of 28 U.S.C. 1605(a)(2),
but solely with respect to actions
instituted against the foreign RIN owner,
its agents and employees in any court or
other tribunal in the United States for
conduct that violates the requirements
applicable to the foreign RIN owner
under this subpart, including conduct
that violates the False Statements
Accountability Act of 1996 (18 U.S.C.
1001) and section 113(c)(2) of the Clean
Air Act (42 U.S.C. 7413).
(6) The foreign RIN owner, or its
agents or employees, will not seek to
detain or to impose civil or criminal
remedies against EPA inspectors or
auditors, whether EPA employees or
EPA contractors, for actions performed
within the scope of EPA employment
related to the provisions of this section.
(7) The commitment required by this
paragraph (c) shall be signed by the
owner or president of the foreign RIN
owner business.
(d) Sovereign immunity. By
submitting an application to be a foreign
RIN owner under this subpart, the
foreign entity, and its agents and
employees, without exception, become
subject to the full operation of the
administrative and judicial enforcement
powers and provisions of the United
States without limitation based on
sovereign immunity, with respect to
actions instituted against the foreign
RIN owner, its agents and employees in
any court or other tribunal in the United
States for conduct that violates the
requirements applicable to the foreign
RIN owner under this subpart, including
conduct that violates the False
Statements Accountability Act of 1996
(18 U.S.C. 1001) and section 113(c)(2) of
the Clean Air Act (42 U.S.C. 7413).
(e) Bond posting. Any foreign entity
shall meet the requirements of this
paragraph (e) as a condition to approval
as a foreign RIN owner under this
subpart.
(1) The foreign entity shall post a
bond of the amount calculated using the
following equation:
Bond = G * $ 0.01
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Where:
Bond = amount of the bond in U.S. dollars.
G = the total of the number of gallon-RINs the
foreign entity expects to sell or transfer
during the first calendar year that the
foreign entity is a RIN owner, plus the
number of gallon-RINs the foreign entity
expects to sell or transfer during the next
four calendar years. After the first
calendar year, the bond amount shall be
based on the actual number of gallonRINs sold or transferred during the
current calendar year and the number
held at the conclusion of the current
averaging year, plus the number of
gallon-RINs sold or transferred during
the four most recent calendar years
preceding the current calendar year. For
any year for which there were fewer than
four preceding years in which the foreign
entity sold or transferred RINs, the bond
shall be based on the total of the number
of gallon-RINs sold or transferred during
the current calendar year and the
number held at the end of the current
calendar year, plus the number of gallonRINs sold or transferred during any
calendar year preceding the current
calendar year, plus the number of gallonRINs expected to be sold or transferred
during subsequent calendar years, the
total number of years not to exceed four
calendar years in addition to the current
calendar year.
(2) Bonds shall be posted by doing
any of the following:
(i) Paying the amount of the bond to
the Treasurer of the United States.
(ii) Obtaining a bond in the proper
amount from a third party surety agent
that is payable to satisfy United States
administrative or judicial judgments
against the foreign RIN owner, provided
EPA agrees in advance as to the third
party and the nature of the surety
agreement.
(iii) An alternative commitment that
results in assets of an appropriate
liquidity and value being readily
available to the United States, provided
EPA agrees in advance as to the
alternative commitment.
(3) All the following shall apply to
bonds posted under this paragraph (e);
bonds shall:
(i) Be used to satisfy any judicial
judgment that results from an
administrative or judicial enforcement
action for conduct in violation of this
subpart, including where such conduct
violates the False Statements
Accountability Act of 1996 (18 U.S.C.
1001) and section 113(c)(2) of the Clean
Air Act (42 U.S.C. 7413).
(ii) Be provided by a corporate surety
that is listed in the United States
Department of Treasury Circular 570
‘‘Companies Holding Certificates of
Authority as Acceptable Sureties on
Federal Bonds’’.
(iii) Include a commitment that the
bond will remain in effect for at least
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five years following the end of latest
reporting period in which the foreign
RIN owner obtains, sells, transfers, or
holds RINs.
(4) On any occasion a foreign RIN
owner bond is used to satisfy any
judgment, the foreign RIN owner shall
increase the bond to cover the amount
used within 90 days of the date the
bond is used.
(f) English language reports. Any
document submitted to EPA by a foreign
RIN owner shall be in English, or shall
include an English language translation.
(g) Prohibitions.
(1) A foreign RIN owner is prohibited
from obtaining, selling, transferring, or
holding any RIN that is in excess of the
number for which the bond
requirements of this section have been
satisfied.
(2) Any RIN that is sold, transferred,
or held that is in excess of the number
for which the bond requirements of this
section have been satisfied is an invalid
RIN under § 80.1431.
(3) Any RIN that is obtained from a
person located outside the United States
that is not an approved foreign RIN
owner under this section is an invalid
RIN under § 80.1431.
(4) No foreign RIN owner or other
person may cause another person to
commit an action prohibited in this
paragraph (g), or that otherwise violates
the requirements of this section.
(h) Additional attest requirements for
foreign RIN owners. The following
additional requirements apply to any
foreign RIN owner as part of the attest
engagement required for RIN owners
under this subpart M.
(1) The attest auditor must be
independent of the foreign RIN owner.
(2) The attest auditor must be licensed
as a Certified Public Accountant in the
United States and a citizen of the United
States, or be approved in advance by
EPA based on a demonstration of ability
to perform the procedures required in
§§ 80.125 through 80.127, 80.130, and
80.1464.
(3) The attest auditor must sign a
commitment that contains the
provisions specified in paragraph (c) of
this section with regard to activities and
documents relevant to compliance with
the requirements of §§ 80.125 through
80.127, 80.130, and 80.1464.
(i) Withdrawal or suspension of
foreign RIN owner status. EPA may
withdraw or suspend its approval of a
foreign RIN owner where any of the
following occur:
(1) A foreign RIN owner fails to meet
any requirement of this section,
including, but not limited to, the bond
requirements.
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14903
(2) A foreign government fails to
allow EPA inspections as provided in
paragraph (c)(1) of this section.
(3) A foreign RIN owner asserts a
claim of, or a right to claim, sovereign
immunity in an action to enforce the
requirements in this subpart.
(4) A foreign RIN owner fails to pay
a civil or criminal penalty that is not
satisfied using the foreign RIN owner
bond specified in paragraph (e) of this
section.
(j) Additional requirements for
applications, reports and certificates.
Any application for approval as a
foreign RIN owner, any report,
certification, or other submission
required under this section shall be:
(1) Submitted in accordance with
procedures specified by the
Administrator, including use of any
forms that may be specified by the
Administrator.
(2) Signed by the president or owner
of the foreign RIN owner company, or
by that person’s immediate designee,
and shall contain the following
declaration:
‘‘I hereby certify: (1) That I have actual
authority to sign on behalf of and to
bind [INSERT NAME OF FOREIGN RIN
OWNER] with regard to all statements
contained herein; (2) that I am aware
that the information contained herein is
being Certified, or submitted to the
United States Environmental Protection
Agency, under the requirements of 40
CFR part 80, subpart M, and that the
information is material for determining
compliance under these regulations; and
(3) that I have read and understand the
information being Certified or
submitted, and this information is true,
complete and correct to the best of my
knowledge and belief after I have taken
reasonable and appropriate steps to
verify the accuracy thereof. I affirm that
I have read and understand the
provisions of 40 CFR part 80, subpart M,
including 40 CFR 80.1467 apply to
[INSERT NAME OF FOREIGN RIN
OWNER]. Pursuant to Clean Air Act
section 113(c) and 18 U.S.C. 1001, the
penalty for furnishing false, incomplete
or misleading information in this
certification or submission is a fine of
up to $10,000 U.S., and/or
imprisonment for up to five years.’’.
§ 80.1468
Incorporation by reference.
(a) Certain material is incorporated by
reference into this part with the
approval of the Director of the Federal
Register under 5 U.S.C. 552(a) and 1
CFR part 51. To enforce any edition
other than that specified in this section,
the Environmental Protection Agency
(EPA) must publish notice of change in
the Federal Register and the material
E:\FR\FM\26MRR2.SGM
26MRR2
14904
Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules and Regulations
mstockstill on DSKH9S0YB1PROD with RULES2
must be available to the public. All
approved material is available for
inspection at the National Archives and
Records Administration (NARA). For
information on the availability of this
material at NARA, call 202–741–6030 or
go to: https://www/archives.gov/
federal_register/code_of
_federal_regulations/ibr_locations.html.
This material is also available for
inspection at the EPA Docket Center,
Docket No. EPA–HQ–OAR–2005–0161,
EPA/DC, EPA West, Room 3334, 1301
Constitution Ave., NW., Washington
DC. The telephone number for the Air
Docket is (202) 566–1742. Also, this
material is available from the source
listed in paragraph (b) of this section.
(b) American Society for Testing and
Materials, 100 Barr Harbor Drive, P.O.
Box C–700, West Conshohocken,
VerDate Nov<24>2008
14:37 Mar 25, 2010
Jkt 220001
Pennsylvania 19428 (1–800–262–1373,
www.astm.org).
(1) ASTM D 1250–08 (‘‘ASTM D
1250’’), Standard Guide for Use of the
Petroleum Measurement Tables,
Approved 2008; IBR approved for
§ 80.1426(f)(8)(ii)(B).
(2) ASTM D 4442–07 (‘‘ASTM D
4442’’), Standard Test Methods for
Direct Moisture Content Measurement
of Wood and Wood-Base Materials,
Approved 2007; IBR approved for
§ 80.1426(f)(7)(v)(B).
(3) ASTM D 4444–08 (‘‘ASTM D
4444’’), Standard Test Method for
Laboratory Standardization and
Calibration of Hand-Held Moisture
Meters, Approved 2008; IBR approved
for § 80.1426(f)(7)(v)(B).
(4) ASTM D 6751–09 (‘‘ASTM D
6751’’), Standard Specification for
Biodiesel Fuel Blend Stock (B100) for
PO 00000
Frm 00236
Fmt 4701
Sfmt 9990
Middle Distillate Fuels, Approved 2009;
IBR approved for § 80.1401.
(5) ASTM D 6866–08 (‘‘ASTM D
6866’’), Standard Test Methods for
Determining the Biobased Content of
Solid, Liquid, and Gaseous Samples
Using Radiocarbon Analysis, Approved
2008; IBR approved for
§§ 80.1426(f)(9)(ii) and 80.1430(e)(2).
(6) ASTM E 711–87 (‘‘ASTM E 711’’),
Standard Test Method for Gross
Calorific Value of Refuse-Derived Fuel
by the Bomb Calorimeter, Reapproved
2004; IBR approved for
§ 80.1426(f)(7)(v)(A).
(7) ASTM E 870–82 (‘‘ASTM E 870’’),
Standard Test Methods for Analysis of
Wood Fuels, Reapproved 2006); IBR
approved for § 80.1426(f)(7)(v)(A).
[FR Doc. 2010–3851 Filed 3–25–10; 8:45 am]
BILLING CODE 6560–50–P
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Agencies
[Federal Register Volume 75, Number 58 (Friday, March 26, 2010)]
[Rules and Regulations]
[Pages 14670-14904]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2010-3851]
[[Page 14669]]
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Part II
Book 2 of 2 Books
Pages 14669-15320
Environmental Protection Agency
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40 CFR Part 80
Regulation of Fuels and Fuel Additives: Changes to Renewable Fuel
Standard Program; Final Rule
Federal Register / Vol. 75, No. 58 / Friday, March 26, 2010 / Rules
and Regulations
[[Page 14670]]
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ENVIRONMENTAL PROTECTION AGENCY
40 CFR Part 80
[EPA-HQ-OAR-2005-0161; FRL-9112-3]
RIN 2060-A081
Regulation of Fuels and Fuel Additives: Changes to Renewable Fuel
Standard Program
AGENCY: Environmental Protection Agency (EPA).
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: Under the Clean Air Act Section 211(o), as amended by the
Energy Independence and Security Act of 2007 (EISA), the Environmental
Protection Agency is required to promulgate regulations implementing
changes to the Renewable Fuel Standard program. The revised statutory
requirements specify the volumes of cellulosic biofuel, biomass-based
diesel, advanced biofuel, and total renewable fuel that must be used in
transportation fuel. This action finalizes the regulations that
implement the requirements of EISA, including the cellulosic, biomass-
based diesel, advanced biofuel, and renewable fuel standards that will
apply to all gasoline and diesel produced or imported in 2010. The
final regulations make a number of changes to the current Renewable
Fuel Standard program while retaining many elements of the compliance
and trading system already in place. This final rule also implements
the revised statutory definitions and criteria, most notably the new
greenhouse gas emission thresholds for renewable fuels and new limits
on renewable biomass feedstocks. This rulemaking marks the first time
that greenhouse gas emission performance is being applied in a
regulatory context for a nationwide program. As mandated by the
statute, our greenhouse gas emission assessments consider the full
lifecycle emission impacts of fuel production from both direct and
indirect emissions, including significant emissions from land use
changes. In carrying out our lifecycle analysis we have taken steps to
ensure that the lifecycle estimates are based on the latest and most
up-to-date science. The lifecycle greenhouse gas assessments reflected
in this rulemaking represent significant improvements in analysis based
on information and data received since the proposal. However, we also
recognize that lifecycle GHG assessment of biofuels is an evolving
discipline and will continue to revisit our lifecycle analyses in the
future as new information becomes available. EPA plans to ask the
National Academy of Sciences for assistance as we move forward. Based
on current analyses we have determined that ethanol from corn starch
will be able to comply with the required greenhouse gas (GHG) threshold
for renewable fuel. Similarly, biodiesel can be produced to comply with
the 50% threshold for biomass-based diesel, sugarcane with the 50%
threshold for advanced biofuel and multiple cellulosic-based fuels with
their 60% threshold. Additional fuel pathways have also been determined
to comply with their thresholds. The assessment for this rulemaking
also indicates the increased use of renewable fuels will have important
environmental, energy and economic impacts for our Nation.
DATES: This final rule is effective on July 1, 2010, and the percentage
standards apply to all gasoline and diesel produced or imported in
2010. The incorporation by reference of certain publications listed in
the rule is approved by the Director of the Federal Register as of July
1, 2010.
ADDRESSES: EPA has established a docket for this action under Docket ID
No. EPA-HQ-OAR-2005-0161. All documents in the docket are listed in the
https://www.regulations.gov Web site. Although listed in the index, some
information is not publicly available, e.g., confidential business
information (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. Publicly available docket materials are available either
electronically through https://www.regulations.gov or in hard copy at
the Air and Radiation Docket and Information Center, EPA/DC, EPA West,
Room 3334, 1301 Constitution Ave., NW., Washington, DC. The Public
Reading Room is open from 8:30 a.m. to 4:30 p.m., Monday through
Friday, excluding legal holidays. The telephone number for the Public
Reading Room is (202) 566-1744, and the telephone number for the Air
Docket is (202) 566-1742.
FOR FURTHER INFORMATION CONTACT: Julia MacAllister, Office of
Transportation and Air Quality, Assessment and Standards Division,
Environmental Protection Agency, 2000 Traverwood Drive, Ann Arbor, MI
48105; Telephone number: 734-214-4131; Fax number: 734-214-4816; E-mail
address: macallister.julia@epa.gov, or Assessment and Standards
Division Hotline; telephone number (734) 214-4636; E-mail address
asdinfo@epa.gov.
SUPPLEMENTARY INFORMATION:
General Information
I. Does This Final Rule Apply to Me?
Entities potentially affected by this final rule are those involved
with the production, distribution, and sale of transportation fuels,
including gasoline and diesel fuel or renewable fuels such as ethanol
and biodiesel. Regulated categories include:
--------------------------------------------------------------------------------------------------------------------------------------------------------
NAICS \1\
Category codes SIC \2\ codes Examples of potentially regulated entities
--------------------------------------------------------------------------------------------------------------------------------------------------------
Industry.............................. 324110 2911 Petroleum Refineries.
Industry.............................. 325193 2869 Ethyl alcohol manufacturing.
Industry.............................. 325199 2869 Other basic organic chemical manufacturing.
Industry.............................. 424690 5169 Chemical and allied products merchant wholesalers.
Industry.............................. 424710 5171 Petroleum bulk stations and terminals.
Industry.............................. 424720 5172 Petroleum and petroleum products merchant wholesalers.
Industry.............................. 454319 5989 Other fuel dealers
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ North American Industry Classification System (NAICS)
\2\ Standard Industrial Classification (SIC) system code.
This table is not intended to be exhaustive, but rather provides a
guide for readers regarding entities likely to be regulated by this
final action. This table lists the types of entities that EPA is now
aware could potentially be regulated by this final action. Other types
of entities not listed in the table could also be regulated. To
determine whether your activities would be regulated by this final
action, you should carefully examine the applicability criteria in 40
CFR part 80. If you have any questions regarding the applicability of
this final action to a
[[Page 14671]]
particular entity, consult the person listed in the preceding section.
Outline of This Preamble
I. Executive Summary
A. Summary of New Provisions of the RFS Program
1. Required Volumes of Renewable Fuel
2. Standards for 2010 and Effective Date for New Requirements
a. 2010 Standards
b. Effective Date
3. Analysis of Lifecycle Greenhouse Gas Emissions and Thresholds
for Renewable Fuels
a. Background and Conclusions
b. Fuel Pathways Considered and Key Model Updates Since the
Proposal
c. Consideration of Fuel Pathways Not Yet Modeled
4. Compliance with Renewable Biomass Provision
5. EPA-Moderated Transaction System
6. Other Changes to the RFS Program
B. Impacts of Increasing Volume Requirements in the RFS2 Program
II. Description of the Regulatory Provisions
A. Renewable Identification Numbers (RINs)
B. New Eligibility Requirements for Renewable Fuels
1. Changes in Renewable Fuel Definitions
a. Renewable Fuel
b. Advanced Biofuel
c. Cellulosic Biofuel
d. Biomass-Based Diesel
e. Additional Renewable Fuel
f. Cellulosic Diesel
2. Lifecycle GHG Thresholds
3. Renewable Fuel Exempt From 20 Percent GHG Threshold
a. General Background of the Exemption Requirement
b. Definition of Commenced Construction
c. Definition of Facility Boundary
d. Proposed Approaches and Consideration of Comments
i. Comments on the Proposed Basic Approach
ii. Comments on the Expiration of Grandfathered Status
e. Final Grandfathering Provisions
i. Increases in Volume of Renewable Fuel Produced at
Grandfathered Facilities Due to Expansion
ii. Replacements of Equipment
iii. Registration, Recordkeeping and Reporting
4. New Renewable Biomass Definition and Land Restrictions
a. Definitions of Terms
i. Planted Crops and Crop Residue
ii. Planted Trees and Tree Residue
iii. Slash and Pre-Commercial Thinnings
iv. Biomass Obtained From Certain Areas at Risk From Wildfire
v. Algae
b. Implementation of Renewable Biomass Requirements
i. Ensuring That RINs Are Generated Only For Fuels Made From
Renewable Biomass
ii. Whether RINs Must Be Generated For All Qualifying Renewable
Fuel
c. Implementation Approaches for Domestic Renewable Fuel
i. Recordkeeping and Reporting for Feedstocks
ii. Approaches for Foreign Producers of Renewable Fuel
(1) RIN-Generating importers
(2) RIN-Generating foreign producers
iii. Aggregate Compliance Approach for Planted Crops and Crop
Residue From Agricultural Land
(1) Analysis of Total Agricultural Land in 2007
(2) Aggregate Agricultural Land Trends Over Time
(3) Aggregate Compliance Determination
d. Treatment of Municipal Solid Waste (MSW)
C. Expanded Registration Process for Producers and Importers
1. Domestic Renewable Fuel Producers
2. Foreign Renewable Fuel Producers
3. Renewable Fuel Importers
4. Process and Timing
D. Generation of RINs
1. Equivalence Values
2. Fuel Pathways and Assignment of D Codes
a. Producers
b. Importers
c. Additional Provisions for Foreign Producers
3. Facilities With Multiple Applicable Pathways
4. Facilities That Co-Process Renewable Biomass and Fossil Fuels
5. Facilities That Process Municipal Solid Waste
6. RINless Biofuel
E. Applicable Standards
1. Calculation of Standards
a. How Are the Standards Calculated?
b. Standards for 2010
2. Treatment of Biomass-Based Diesel in 2009 and 2010
a. Shift in 2009 Biomass-Based Diesel Compliance Demonstration
to 2010
b. Treatment of Deficit Carryovers, RIN Rollover, and RIN Valid
Life For Adjusted 2010 Biomass-Based Diesel Requirement
3. Future Standards
F. Fuels That Are Subject to the Standards
1. Gasoline
2. Diesel
3. Other Transportation Fuels
G. Renewable Volume Obligations (RVOs)
1. Designation of Obligated Parties
2. Determination of RVOs Corresponding to the Four Standards
3. RINs Eligible To Meet Each RVO
4. Treatment of RFS1 RINs Under RFS2
a. Use of RFS1 RINs To Meet Standards Under RFS2
b. Deficit Carryovers From the RFS1 Program to RFS2
H. Separation of RINs
1. Nonroad
2. Heating Oil and Jet Fuel
3. Exporters
4. Requirement to Transfer RINs With Volume
5. Neat Renewable Fuel and Renewable Fuel Blends Designated as
Transportation Fuel, Heating Oil, or Jet Fuel
I. Treatment of Cellulosic Biofuel
1. Cellulosic Biofuel Standard
2. EPA Cellulosic Biofuel Waiver Credits for Cellulosic Biofuel
3. Application of Cellulosic Biofuel Waiver Credits
J. Changes to Recordkeeping and Reporting Requirements
1. Recordkeeping
2. Reporting
3. Additional Requirements for Producers of Renewable Natural
Gas, Electricity, and Propane
4. Attest Engagements
K. Production Outlook Reports
L. What Acts Are Prohibited and Who Is Liable for Violations?
III. Other Program Changes
A. The EPA Moderated Transaction System (EMTS)
1. Need for the EPA Moderated Transaction System
2. Implementation of the EPA Moderated Transaction System
3. How EMTS Will Work
4. A Sample EMTS Transaction
B. Upward Delegation of RIN-Separating Responsibilities
C. Small Producer Exemption
D. 20% Rollover Cap
E. Small Refinery and Small Refiner Flexibilities
1. Background--RFS1
a. Small Refinery Exemption
b. Small Refiner Exemption
2. Statutory Options for Extending Relief
3. The DOE Study/DOE Study Results
4. Ability To Grant Relief Beyond 211(o)(9)
5. Congress-Requested Revised DOE Study
6. What We're Finalizing
a. Small Refinery and Small Refiner Temporary Exemptions
b. Case-by-Case Hardship for Small Refineries and Small Refiners
c. Program Review
7. Other Flexibilities Considered for Small Refiners
a. Extensions of the RFS1 Temporary Exemption for Small Refiners
b. Phase-in
c. RIN-Related Flexibilities
F. Retail Dispenser Labeling for Gasoline With Greater Than 10
Percent Ethanol
G. Biodiesel Temperature Standardization
IV. Renewable Fuel Production and Use
A. Overview of Renewable Fuel Volumes
1. Reference Cases
2. Primary Control Case
a. Cellulosic Biofuel
b. Biomass-Based Diesel
c. Other Advanced Biofuel
d. Other Renewable Fuel
3. Additional Control Cases Considered
B. Renewable Fuel Production
1. Corn/Starch Ethanol
a. Historic/Current Production
b. Forecasted Production Under RFS2
2. Imported Ethanol
3. Cellulosic Biofuel
a. Current State of the Industry
b. Setting the 2010 Cellulosic Biofuel Standard
c. Current Production Outlook for 2011 and Beyond
d. Feedstock Availability
i. Urban Waste
ii. Agricultural and Forestry Residues
iii. Dedicated Energy Crops
[[Page 14672]]
iv. Summary of Cellulosic Feedstocks for 2022
4. Biodiesel & Renewable Diesel
a. Historic and Projected Production
i. Biodiesel
ii. Renewable Diesel
b. Feedstock Availability
C. Biofuel Distribution
1. Biofuel Shipment to Petroleum Terminals
2. Petroleum Terminal Accommodations
3. Potential Need for Special Blendstocks at Petroleum Terminals
for E85
4. Need for Additional E85 Retail Facilities
D. Ethanol Consumption
1. Historic/Current Ethanol Consumption
2. Increased Ethanol Use Under RFS2
a. Projected Gasoline Energy Demand
b. Projected Growth in Flexible Fuel Vehicles
c. Projected Growth in E85 Access
d. Required Increase in E85 Refueling Rates
e. Market Pricing of E85 Versus Gasoline
3. Consideration of >10% Ethanol Blends
V. Lifecycle Analysis of Greenhouse Gas Emissions
A. Introduction
1. Open and Science-Based Approach to EPA's Analysis
2. Addressing Uncertainty
B. Methodology
1. Scope of Analysis
a. Inclusion of Indirect Land Use Change
b. Models Used
c. Scenarios Modeled
2. Biofuel Modeling Framework & Methodology for Lifecycle
Analysis Components
a. Feedstock Production
i. Domestic Agricultural Sector Impacts
ii. International Agricultural Sector Impacts
b. Land Use Change
i. Amount of Land Area Converted and Where
ii. Type of Land Converted
iii. GHG Emissions Associated With Conversion
(1) Domestic Emissions
(2) International Emissions
iv. Timeframe of Emission Analysis
v. GTAP and Other Models
c. Feedstock Transport
d. Biofuel Processing
e. Fuel Transportation
f. Vehicle Tailpipe Emissions
3. Petroleum Baseline
C. Threshold Determination and Assignment of Pathways
D. Total GHG Reductions
E. Effects of GHG Emission Reductions and Changes in Global
Temperature and Sea Level
VI. How Would the Proposal Impact Criteria and Toxic Pollutant
Emissions and Their Associated Effects?
A. Overview of Impacts
B. Fuel Production & Distribution Impacts of the Proposed
Program
C. Vehicle and Equipment Emission Impacts of Fuel Program
D. Air Quality Impacts
1. Particulate Matter
a. Current Levels
b. Projected Levels Without RFS2 Volumes
c. Projected Levels With RFS2 Volumes
2. Ozone
a. Current Levels
b. Projected Levels Without RFS2 Volumes
c. Projected Levels With RFS2 Volumes
3. Air Toxics
a. Current Levels
b. Projected Levels
i. Acetaldehyde
ii. Formaldehyde
iii. Ethanol
iv. Benzene
v. 1,3-Butadiene
vi. Acrolein
vii. Population Metrics
4. Nitrogen and Sulfur Deposition
a. Current Levels
b. Projected Levels
E. Health Effects of Criteria and Air Toxics Pollutants
1. Particulate Matter
a. Background
b. Health Effects of PM
2. Ozone
a. Background
b. Health Effects of Ozone
3. NOX and SOX
a. Background
b. Health Effects of NOX
c. Health Effects of SOX
4. Carbon Monoxide
5. Air Toxics
a. Acetaldehyde
b. Acrolein
c. Benzene
d. 1,3-Butadiene
e. Ethanol
f. Formaldehyde
g. Peroxyacetyl Nitrate (PAN)
h. Naphthalene
i. Other Air Toxics
F. Environmental Effects of Criteria and Air Toxic Pollutants
1. Visibility
2. Atmospheric Deposition
3. Plant and Ecosystem Effects of Ozone
4. Environmental Effects of Air Toxics
VII. Impacts on Cost of Renewable Fuels, Gasoline, and Diesel
A. Renewable Fuel Production Costs
1. Ethanol Production Costs
a. Corn Ethanol
b. Cellulosic Ethanol
i. Feedstock Costs
ii. Production Costs for Cellulosic Biofuels
c. Imported Sugarcane Ethanol
2. Biodiesel and Renewable Diesel Production Costs
a. Biodiesel
b. Renewable Diesel
B. Biofuel Distribution Costs
1. Ethanol Distribution Costs
2. Cellulosic Distillate and Renewable Diesel Distribution Costs
3. Biodiesel Distribution Costs
C. Reduced U.S. Refining Demand
D. Total Estimated Cost Impacts
1. Refinery Modeling Methodology
2. Overall Impact on Fuel Cost
VIII. Economic Impacts and Benefits
A. Agricultural and Forestry Impacts
1. Biofuel Volumes Modeled
2. Commodity Price Changes
3. Impacts on U.S. Farm Income
4. Commodity Use Changes
5. U.S. Land Use Changes
6. Impact on U.S. Food Prices
7. International Impacts
B. Energy Security Impacts
1. Implications of Reduced Petroleum Use on U.S. Imports
2. Energy Security Implications
a. Effect of Oil Use on Long-Run Oil Price, U.S. Import Costs,
and Economic Output
b. Short-Run Disruption Premium From Expected Costs of Sudden
Supply Disruptions
c. Costs of Existing U.S. Energy Security Policies
3. Combining Energy Security and Other Benefits
4. Total Energy Security Benefits
C. Benefits of Reducing GHG Emissions
1. Introduction
2. Derivation of Interim Social Cost of Carbon Values
3. Application of Interim SCC Estimates to GHG Emissions
Reductions
D. Criteria Pollutant Health and Environmental Impacts
1. Overview
2. Quantified Human Health Impacts
3. Monetized Impacts
4. What Are the Limitations of the Health Impacts Analysis?
E. Summary of Costs and Benefits
IX. Impacts on Water
A. Background
1. Agriculture and Water Quality
2. Ecological Impacts
3. Impacts to the Gulf of Mexico
B. Upper Mississippi River Basin Analysis
1. SWAT Model
2. AEO 2007 Reference Case
3. Reference Cases and RFS2 Control Case
4. Case Study
5. Sensitivity Analysis
C. Additional Water Issues
1. Chesapeake Bay Watershed
2. Ethanol Production and Distribution
a. Production
b. Distillers Grain With Solubles
c. Ethanol Leaks and Spills From Fueling Stations
3. Biodiesel Plants
4. Water Quantity
5. Drinking Water
X. Public Participation
XI. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory Planning and Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
1. Overview
2. Background
3. Summary of Potentially Affected Small Entities
4. Reporting, Recordkeeping, and Compliance
5. Related Federal Rules
6. Steps Taken To Minimize the Significant Economic Impact on
Small Entities
a. Significant Panel Findings
b. Outreach With Small Entities (and the Panel Process)
c. Panel Recommendations, Proposed Provisions, and Provisions
Being Finalized
i. Delay in Standards
ii. Phase-in
iii. RIN-Related Flexibilities
iv. Program Review
[[Page 14673]]
v. Extensions of the Temporary Exemption Based on a Study of
Small Refinery Impacts
vi. Extensions of the Temporary Exemption Based on
Disproportionate Economic Hardship
7. Conclusions
D. Unfunded Mandates Reform Act
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 Risks and Safety Risks
H. Executive Order 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use
I. National Technology Transfer Advancement Act
J. Executive Order 12898: Federal Actions to Address
Environmental Justice in Minority Populations and Low-Income
Populations
K. Congressional Review Act
XII. Statutory Provisions and Legal Authority
I. Executive Summary
Through this final rule, the U.S. Environmental Protection Agency
is revising the National Renewable Fuel Standard program to implement
the requirements of the Energy Independence and Security Act of 2007
(EISA). EISA made significant changes to both the structure and the
magnitude of the renewable fuel program created by the Energy Policy
Act of 2005 (EPAct). The EISA fuel program, hereafter referred to as
RFS2, mandates the use of 36 billion gallons of renewable fuel by
2022--a nearly five-fold increase over the highest volume specified by
EPAct. EISA also established four separate categories of renewable
fuels, each with a separate volume mandate and each with a specific
lifecycle greenhouse gas emission threshold. The categories are
renewable fuel, advanced biofuel, biomass-based diesel, and cellulosic
biofuel. There is a notable increase in the mandate for cellulosic
biofuels in particular. EISA increased the cellulosic biofuel mandate
to 16 billion gallons by 2022, representing the bulk of the increase in
the renewable fuels mandate.
EPA's proposed rule sought comment on a multitude of issues,
ranging from how to interpret the new definitions for renewable biomass
to the Agency's proposed methodology for conducting the greenhouse gas
lifecycle assessments required by EISA. The decisions presented in this
final rule are heavily informed by the many public comments we received
on the proposed rule. In addition, and as with the proposal, we sought
input from a wide variety of stakeholders. The Agency has had multiple
meetings and discussions with renewable fuel producers, technology
companies, petroleum refiners and importers, agricultural associations,
lifecycle experts, environmental groups, vehicle manufacturers, states,
gasoline and petroleum marketers, pipeline owners and fuel terminal
operators. We also have worked closely with other Federal agencies and
in particular with the Departments of Energy and Agriculture.
This section provides an executive summary of the final RFS2
program requirements that EPA is implementing as a result of EISA. The
RFS2 program will replace the RFS1 program promulgated on May 1, 2007
(72 FR 23900).\1\ Details of the final requirements can be found in
Sections II and III, with certain lifecycle aspects detailed in Section
V.
---------------------------------------------------------------------------
\1\ To meet the requirements of EPAct, EPA had previously
adopted a limited program that applied only to calendar year 2006.
The RFS1 program refers to the general program adopted in the May
2007 rulemaking.
---------------------------------------------------------------------------
This section also provides a summary of EPA's assessment of the
environmental and economic impacts of the use of higher renewable fuel
volumes. Details of these analyses can be found in Sections IV through
IX and in the Regulatory Impact Analysis (RIA).
A. Summary of New Provisions of the RFS Program
Today's notice establishes new regulatory requirements for the RFS
program that will be implemented through a new subpart M to 40 CFR part
80. EPA is maintaining several elements of the RFS1 program such as
regulations governing the generation, transfer, and use of Renewable
Identification Numbers (RINs). At the same time, we are making a number
of updates to reflect the changes brought about by EISA
1. Required Volumes of Renewable Fuel
The RFS program is intended to require a minimum volume of
renewable fuel to be used each year in the transportation sector. In
response to EPAct 2005, under RFS1 the required volume was 4.0 billion
gallons in 2006, ramping up to 7.5 billion gallons by 2012. Starting in
2013, the program also required that the total volume of renewable fuel
contain at least 250 million gallons of fuel derived from cellulosic
biomass.
In response to EISA, today's action makes four primary changes to
the volume requirements of the RFS program. First, it substantially
increases the required volumes and extends the timeframe over which the
volumes ramp up through at least 2022. Second, it divides the total
renewable fuel requirement into four separate categories, each with its
own volume requirement. Third, it requires, with certain exceptions
applicable to existing facilities, that each of these mandated volumes
of renewable fuels achieve certain minimum thresholds of GHG emission
performance. Fourth, it requires that all renewable fuel be made from
feedstocks that meet the new definition of renewable biomass including
certain land use restrictions. The volume requirements in EISA are
shown in Table I.A.1-1.
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As shown in the table, the volume requirements are not exclusive,
and generally result in nested requirements. Any renewable fuel that
meets the requirement for cellulosic biofuel or biomass-based diesel is
also valid for meeting the advanced biofuel requirement. Likewise, any
renewable fuel that meets the requirement for advanced biofuel is also
valid for meeting the total renewable fuel requirement. See Section V.C
for further discussion of which specific types of fuel may qualify for
the four categories shown in Table I.A.1-1.
2. Standards for 2010 and Effective Date for New Requirements
While EISA established the renewable fuel volumes shown in Table
I.A.1-1, it also requires that the Administrator set the standards
based on these volumes each November for the following year based in
part on information provided from the Energy Information Agency (EIA).
In the case of the cellulosic biofuel standard, section 211(o)(7)(D) of
EISA specifically requires that the standard be set based on the volume
projected to be available during the following year. If the volume is
lower than the level shown in Table I.A.1-1, then EISA allows the
Administrator to also lower the advanced biofuel and total renewable
fuel standards each year accordingly. Given the implications of these
standards and the necessary judgment that can't be reduced to a formula
akin to the RFS1 regulations, we believe it is appropriate to set the
standards through a notice-and-comment rulemaking process. Thus, for
future standards, we intend to issue an NPRM by summer and a final rule
by November 30 of each year in order to determine the appropriate
standards applicable in the following year. However, in the case of the
2010 standards, we are finalizing them as part of today's action.
a. 2010 Standards
While we proposed that the cellulosic biofuel standard would be set
at the EISA-specified level of 100 million gallons for 2010, based on
analysis of information available at this time, we no longer believe
the full volume can be met. Since the proposal, we have had detailed
discussions with over 30 companies that are in the business of
developing cellulosic biofuels and cellulosic biofuel technology. Based
on these discussions, we have found that many of the projects that
served as the basis for the proposal have been put on hold, delayed, or
scaled back. At the same time, there have been a number of additional
projects that have developed and are moving forward. As discussed in
Section IV.B.3, the timing for many of the projects indicates that
while few will be able to provide commercial volumes for 2010, an
increasing number will come on line in 2011, 2012, and 2013. The
success of these projects is then expected to accelerate growth of the
cellulosic biofuel industry out into the future. EIA provided us with a
projection on October 29, 2009 of 5.04 million gallons (6.5 million
ethanol-equivalent gallons) of cellulosic biofuel production for 2010.
While our company-by-company assessment varies from EIA's, as described
in Section IV.B.3., and actual cellulosic production volume during 2010
will be a function of developments over the course of 2010, we
nevertheless believe that 5 million gallons (6.5 million ethanol
equivalent) represents a reasonable, yet achievable level for the
cellulosic standard for 2010. While this is lower than the level
specified in EISA, no change to the advanced biofuel and total
renewable fuel standards is warranted. With the inclusion of an energy-
based Equivalence Value for biodiesel and renewable diesel, 2010
compliance with the biomass-based diesel standard will be more than
enough to ensure compliance with the advanced biofuel standard for
2010.
Today's rule also includes special provisions to account for the
2009 biomass-based diesel volume requirements in EISA. As described in
the NPRM, in November 2008 we used the new total renewable fuel volume
of 11.1 billion gallons from EISA as the basis for the 2009 total
renewable fuel standard that we issued under the RFS1 regulations.\2\
While this approach ensured that the total mandated renewable fuel
volume required by EISA for 2009 was used, the RFS1 regulatory
structure did not provide a mechanism for implementing the 0.5 billion
gallon requirement for biomass-based diesel nor the 0.6 billion gallon
requirement for advanced biofuel. As we proposed, and as is described
in more detail in Section II.E.2, we are addressing this issue in
today's rule by combining the 2010 biomass-based diesel requirement of
0.65 billion gallons with the 2009 biomass based diesel requirement of
0.5 billion gallons to require that obligated parties meet a combined
2009/2010 requirement of 1.15 billion gallons by the end of the 2010
compliance year. No similar provisions are required in order to fulfill
the 2009 advanced biofuel volume mandate.
---------------------------------------------------------------------------
\2\ 73 FR 70643, November 21, 2008
---------------------------------------------------------------------------
The resulting 2010 standards are shown in Table I.A.2-1. These
standards represent the fraction of a refiner's or importer's gasoline
and diesel volume which must be renewable fuel. Additional discussion
of the 2010 standards can be found in Section II.E.1.b.
Table I.A.2-1--Standards for 2010
------------------------------------------------------------------------
------------------------------------------------------------------------
Cellulosic biofuel......................................... 0.004%
Biomass-based diesel....................................... 1.10%
Advanced biofuel........................................... 0.61%
Renewable fuel............................................. 8.25%
------------------------------------------------------------------------
b. Effective Date
Under CAA section 211(o) as modified by EISA, EPA is required to
revise the RFS1 regulations within one year of enactment, or December
19, 2008. Promulgation by this date would have been consistent with the
revised volume requirements shown in Table I.A.1-1 that begin in 2009
for certain categories of renewable fuel. As described in the NPRM, we
were not able to promulgate final RFS2 program requirements by December
19, 2008.
Under today's rule, the transition from using the RFS1 regulatory
provisions regarding registration, RIN generation, reporting, and
recordkeeping to using comparable provisions in this RFS2 rule will
occur on July 1, 2010. This is the start of the 1st quarter following
completion of the statutorily required 60-day Congressional Review
period for such a rulemaking as this. This will provide adequate lead
time for all parties to transition to the new regulatory requirements,
including additional time to prepare for RFS2 implementation for those
entities who may find it helpful, especially those covered by the RFS
program for the first time. In addition, making the transition at the
end of the quarter will help simplify the recordkeeping and reporting
transition to RFS2. To facilitate the volume obligations being based on
the full year's gasoline and diesel production, and to enable the
smooth transition from the RFS1 to RFS2 regulatory provisions,
Renewable Identification Numbers (RINs--which are used in the program
for both credit trading and for compliance demonstration) that were
generated under the RFS1 regulations will continue to be valid for
compliance with the RFS2 obligations. Further discussion of transition
issues can be found in Sections II.A and II.G.4, respectively.
According to EISA, the renewable fuel obligations applicable under
RFS2 apply on a calendar basis. That is, obligated parties must
determine their
[[Page 14676]]
renewable volume obligations (RVOs) at the end of a calendar year based
on the volume of gasoline or diesel fuel they produce during the year,
and they must demonstrate compliance with their RVOs in an annual
report that is due two months after the end of the calendar year.
For 2010, today's rule will follow this same general approach. The
four RFS2 RVOs for each obligated party will be calculated on the basis
of all gasoline and diesel produced or imported on and after January 1,
2010, through December 31, 2010. Obligated parties will be required to
demonstrate by February 28 of 2011 that they obtained sufficient RINs
to satisfy their 2010 RVOs. We believe this is an appropriate approach
as it is more consistent with Congress' provisions in EISA for 2010,
and there is adequate lead time for the obligated parties to achieve
compliance.
The issue for EPA to resolve is how to apply the four volume
mandates under EISA for calendar year 2010. These volume mandates are
translated into applicable percentages that obligated parties then use
to determine their renewable fuel volume obligations based on the
gasoline and diesel they produce or import in 2010. There are three
basic approaches that EPA has considered, based on comments on the
proposal. The first is the approach adopted in this rule--the four RFS2
applicable percentages are determined based on the four volume mandates
covered by this rule, and the renewable volume obligation for a refiner
or importer will be determined by applying these percentages to the
volume of gasoline and diesel fuel they produce during calendar year
2010. Under this approach, there is no separate applicable percentage
under RFS1 for 2010, however RINs generated in 2009 and 2010 under RFS1
can be used to meet the four volume obligations for 2010 under the RFS2
regulations. Another option, which was considered and rejected by EPA,
is much more complicated--(1) determine an RFS1 applicable percentage
based on just the total renewable fuel volume mandate, using the same
total volume for renewable fuel as used in the first approach, and
require obligated parties to apply that percentage to the gasoline
produced from January 1, 2010 until the effective date of the RFS2
regulations, and (2) determine the four RFS2 applicable percentages as
discussed above, but require obligated parties to apply them to only
the gasoline and diesel in 2010 after the effective date of the RFS2
regulations. Of greater concern than its complexity, the second
approach fails to ensure that the total volumes for three of the volume
mandates are met for 2010. In effect EPA would be requiring that
obligated parties use enough cellulosic biofuel, biomass-based diesel,
and advanced biofuel to meet approximately 75% of the total volumes
required for these fuels under EISA. While the total volume mandate
under EISA for renewable fuel would likely be met, the other three
volumes mandates would only be met in part. The final option would
involve delaying the RFS2 requirements until January 1, 2011, which
would avoid the complexity of the second approach, but would be even
less consistent with EISA's requirements.
The approach adopted in this rule is clearly the most consistent
with EISA's requirement of four different volume mandates for all of
calendar year 2010. In addition, EPA is confident that obligated
parties have adequate lead-time to comply with the four volume
requirements under the approach adopted in this rule. The volume
requirements are achieved by obtaining the appropriate number of RINs
from producers of the renewable fuel. The obligated parties do not need
lead time for construction or investment purposes, as they are not
changing the way they produce gasoline or diesel, do not need to design
to install new equipment, or take other actions that require longer
lead time. Obtaining the appropriate amount of RINs involves
contractual or other arrangements with renewable fuel producers or
other holders of RINs. Obligated parties now have experience
implementing RFS1, and the actions needed to comply under the RFS2
regulations are a continuation of these kinds of RFS1 activities. In
addition, an adequate supply of RINs is expected to be available for
compliance by obligated parties. RFS1 RINs have been produced
throughout 2009 and continue to be produced since the beginning of
2010. There has been and will be no gap or lag in the production of
RINS, as the RFS1 regulations continue in effect and require that
renewable fuel producers generate RINs for the renewable fuel they
produce. These 2009 and 2010 RFS1 RINs will be available and can be
used towards the volume requirements of obligated parties for 2010.
These RFS1 RINS combined with the RFS2 RINs that will be generated by
renewable fuel producers are expected to provide an adequate supply of
RINs to ensure compliance for all of the renewable volume mandates. For
further discussion of the expected supply of renewable fuel, see
section IV.
In addition, obligated parties have received adequate notice of
this obligation. The proposed rule called for obligated parties to meet
the full volume mandates for all four volume mandates, and to base
their volume obligation on the volume of gasoline and diesel produced
starting January 1, 2010. While the RFS2 regulations are not effective
until after January 1, 2010, the same full year approach is being taken
for the 2010 volumes of gasoline and diesel. Obligated parties have
been on notice based on EPA's proposal, discussions with many
stakeholders during the rulemaking, the issuance of the final rule
itself, and publication of this rule in the Federal Register. As
discussed above, there is adequate time for obligated parties to meet
their 2010 volume obligations by the spring of 2011.
This approach does not impose any retroactive requirements. The
obligation that is imposed under the RFS2 regulations is forward
looking--by the spring of 2011, when compliance is determined,
obligated parties must satisfy certain volume obligations. These future
requirements are calculated in part based on volumes of gasoline and
diesel produced prior to the effective date of the RFS2 regulations,
but this does not make the RFS2 requirement retroactive in nature. The
RFS2 regulations do not change in any way the legal obligations or
requirements that apply prior to the effective date of the RFS2
regulations. Instead, the RFS2 requirements impose new requirements
that must be met in the future. There is adequate lead time to comply
with these RFS2 requirements, and they achieve a result that is more
consistent with Congress' goals in establishing 4 volume mandates for
calendar year 2010, and for these reasons EPA is adopting this approach
for calendar year 2010.
Parties that intend to generate RINs, own and/or transfer them, or
use them for compliance purposes after July 1, 2010 will need to
register or re-register under the RFS2 provisions and modify their
information technology (IT) systems to accommodate the changes we are
finalizing today. As described more fully in Section II, these changes
include redefining the D code within the RIN that identifies which
standard a fuel qualifies for, adding a process for verifying that
feedstocks meet the renewable biomass definition, and calculating
compliance with four standards instead of one. EPA's registration
system is available now for parties to complete the registration
process. Further details on this process can be found elsewhere in
today's preamble as well as at https://www.epa.gov/otaq/regs/fuels/
[[Page 14677]]
fuelsregistration.htm. Parties that produce motor vehicle, nonroad,
locomotive, and marine (MVNRLM) diesel fuel but not gasoline will be
newly obligated parties and may be establishing IT systems for the RFS
program for the first time.
3. Analysis of Lifecycle Greenhouse Gas Emissions and Thresholds for
Renewable Fuels
a. Background and Conclusions
A significant aspect of the RFS2 program is the requirement that
the lifecycle GHG emissions of a qualifying renewable fuel must be less
than the lifecycle GHG emissions of the 2005 baseline average gasoline
or diesel fuel that it replaces; four different levels of reductions
are required for the four different renewable fuel standards. These
lifecycle performance improvement thresholds are listed in Table I.A.3-
1. Compliance with each threshold requires a comprehensive evaluation
of renewable fuels, as well as the baseline for gasoline and diesel, on
the basis of their lifecycle emissions. As mandated by EISA, the
greenhouse gas emissions assessments must evaluate the aggregate
quantity of greenhouse gas emissions (including direct emissions and
significant indirect emissions such as significant emissions form land
use changes) related to the full lifecycle, including all stages of
fuel and feedstock production, distribution and use by the ultimate
consumer.
Table I.A.3-1--Lifecycle GHG Thresholds Specified in EISA
[Percent Reduction from Baseline]
------------------------------------------------------------------------
------------------------------------------------------------------------
Renewable fuel \a\......................................... 20
Advanced biofuel........................................... 50
Biomass-based diesel....................................... 50
Cellulosic biofuel......................................... 60
------------------------------------------------------------------------
\a\ The 20% criterion generally applies to renewable fuel from new
facilities that commenced construction after December 19, 2007.
It is important to recognize that fuel from the existing capacity
of current facilities and the capacity of all new facilities that
commenced construction prior to December 19, 2007 (and in some cases
prior to December 31, 2009) are exempt, or grandfathered, from the 20%
lifecycle requirement for the Renewable Fuel category. Therefore, EPA
has in the discussion below emphasized its analysis on those plants and
fuels that are likely to be used for compliance with the rule and would
be subject to the lifecycle thresholds. Based on the analyses and
approach described in Section V of this preamble, EPA is determining
that ethanol produced from corn starch at a new facility (or expanded
capacity from an existing) using natural gas, biomass or biogas for
process energy and using advanced efficient technologies that we expect
will be most typical of new production facilities will meet the 20% GHG
emission reduction threshold compared to the 2005 baseline gasoline. We
are also determining that biobutanol from corn starch meets the 20%
threshold. Similarly, EPA is making the determination that biodiesel
and renewable diesel from soy oil or waste oils, fats and greases will
exceed the 50% GHG threshold for biomass-based diesel compared to the
2005 petroleum diesel baseline. In addition, we have now modeled
biodiesel and renewable diesel produced from algal oils as complying
with the 50% threshold for biomass-based diesel. EPA is also
determining that ethanol from sugarcane complies with the applicable
50% GHG reduction threshold for advanced biofuels. The modeled pathways
(feedstock and production technology) for cellulosic ethanol and
cellulosic diesel would also comply with the 60% GHG reduction
threshold applicable to cellulosic biofuels. As discussed later in
section V, there are also other fuels and fuel pathways that we are
determining will comply with the GHG thresholds.
Under EISA, EPA is allowed to adjust the GHG reduction thresholds
downward by up to 10% if necessary based on lifecycle GHG assessment of
biofuels likely to be available. Based on the results summarized above,
we are not finalizing any adjustments to the lifecycle GHG thresholds
for the four renewable fuel standard categories.
EPA recognizes that as the state of scientific knowledge continues
to evolve in this area, the lifecycle GHG assessments for a variety of
fuel pathways are likely to be updated. Therefore, while EPA is using
its current lifecycle assessments to inform the regulatory
determinations for fuel pathways in this final rule, as required by the
statute, the Agency is also committing to further reassess these
determinations and lifecycle estimates. As part of this ongoing effort,
we will ask for the expert advice of the National Academy of Sciences,
as well as other experts, and incorporate their advice and any updated
information we receive into a new assessment of the lifecycle GHG
emissions performance of the biofuels being evaluated in this final
rule. EPA will request that the National Academy of Sciences evaluate
the approach taken in this rule, the underlying science of lifecycle
assessment, and in particular indirect land use change, and make
recommendations for subsequent lifecycle GHG assessments on this
subject. At this time we are estimating this review by the National
Academy of Sciences may take up to two years. As specified by EISA, if
EPA revises the analytical methodology for determining lifecycle
greenhouse gas emissions, any such revision will apply to renewable
fuel from new facilities that commence construction after the effective
date of the revision.
b. Fuel Pathways Considered and Key Model Updates Since the Proposal
EPA is making the GHG threshold determination based on a
methodology that includes an analysis of the full lifecycle, including
significant emissions related to international land-use change. As
described in more detail below and in Section V of this preamble, EPA
has used the best available models for this purpose, and has
incorporated many modifications to its proposed approach based on
comments from the public and peer reviewers and developing science. EPA
has also quantified the uncertainty associated with significant
components of its analyses, including important factors affecting GHG
emissions associated with international land use change. As discussed
below, EPA has updated and refined its modeling approach since proposal
in several important ways, and EPA is confident that its modeling of
GHG emissions associated with international land use is comprehensive
and provides a reasonable and scientifically robust basis for making
the threshold determinations described above. As discussed below, EPA
plans to continue to improve upon its analyses, and will update it in
the future as appropriate.
Through technical outreach, the peer review process, and the public
comment period, EPA received and reviewed a significant amount of data,
studies, and information on our proposed lifecycle analysis approach.
We incorporated a number of new, updated, and peer-reviewed data
sources in our final rulemaking analysis including better satellite
data for tracking land use changes and improved assessments of N2O
impacts from agriculture. The new and updated data sources are
discussed further in this section, and in more detail in Section V.
We also performed dozens of new modeling runs, uncertainty
analyses, and sensitivity analyses which are leading to greater
confidence in our results. We have updated our analyses in conjunction
with, and based on, advice from experts from government,
[[Page 14678]]
academia, industry, and not for profit institutions.
The new studies, data, and analysis performed for the final
rulemaking impacted the lifecycle GHG results for biofuels in a number
of different ways. In some cases, updates caused the modeled analysis
of lifecycle GHG emissions from biofuels to increase, while other
updates caused the modeled emissions to be reduced. Overall, the
revisions since our proposed rule have led to a reduction in modeled
lifecycle GHG emissions as compared to the values in the proposal. The
following highlights the most significant revisions. Section V details
all of the changes made and their relative impacts on the results.
Corn Ethanol: The final rule analysis found less overall indirect
land use change (less land needed), thereby improving the lifecycle GHG
performance of corn ethanol. The main reasons for this decrease are:
Based on new studies that show the rate of improvement in
crop yields as a function of price, crop yields are now modeled to
increase in response to higher crop prices. When higher crop yields are
used in the models, less land is needed domestically and globally for
crops as biofuels expand.
New research available since the proposal indicates that
the corn ethanol production co-product, distillers grains and solubles
(DGS), is more efficient as an animal feed (meaning less corn is needed
for animal feed) than we had assumed in the proposal. Therefore, in our
analyses for the final rule, domestic corn exports are not impacted as
much by increased biofuel production as they were in the proposal
analysis.
Improved satellite data allowed us to more finely assess
the types of land converted when international land use changes occur,
and this more precise assessment led to a lowering of modeled GHG
impacts. Based on previous satellite data, the proposal assumed
cropland expansion onto grassland would require an amount of pasture to
be replaced through deforestation. For the final rulemaking analysis we
incorporated improved economic modeling of demand for pasture area and
satellite data which indicates that pasture is also likely to expand
onto existing grasslands. This reduced the GHG emissions associated
with an amount of land use change.
However, we note that not all modeling updates necessarily reduced
predicted GHG emissions from land use change. As one example, since the
proposal a new version of the GREET model (Version 1.8C) has been
released. EPA reviewed the new version and concluded that this was an
improvement over the previous GREET release that was used in the
proposal analysis (Version 1.8B). Therefore, EPA updated the GHG
emission factors for fertilizer production used in our analysis to the
values from the new GREET version. This had the result of slightly
increasing the GHG emissions associated with fertilizer production and
thus slightly increasing the GHG emission impacts of domestic
agriculture.
For the final rule, EPA has analyzed a variety of corn ethanol
pathways including ethanol made from corn starch using natural gas,
coal, and biomass as process energy sources in production facilities
utilizing both dry mill and wet mill processes. For corn starch
ethanol, we also considered the technology enhancements likely to occur
in the future such as the addition of corn oil fractionation or
extraction technology, membrane separation technology, combined heat
and power and raw starch hydrolysis.
Biobutanol from corn starch: In addition to ethanol from corn
starch, for this final rule, we have also analyzed bio-butanol from
corn starch. Since the feedstock impacts are the same as for ethanol
from corn starch, the assessment for biobutanol reflects the differing
impacts due to the production process and energy content of biobutanol
compared to that of ethanol.
Soybean Biodiesel: The new information described above for corn
ethanol also leads to lower modeled GHG impacts associated with soybean
biodiesel. The revised assessment predicts less overall indirect land
use change (less land needed) and less impact from the land use changed
that does occur (due to updates in types of converted land assumed). In
addition, the latest IPCC guidance indicates reduced domestic soybean
N2O emissions, and updated USDA and industry data show reductions in
biodiesel processing energy use and a higher co-product credit, all of
which further reduced the modeled soybean biodiesel lifecycle GHG
emissions. This has resulted in a significant improvement in our
assessment of the lifecycle performance of soybean biodiesel as
compared to the estimate in the proposal.
Biodiesel and Renewable Diesel from Algal Oil and Waste Fats and
Greases: In addition to biodiesel from soy oil, biodiesel and renewable
diesel from algal oil (should it reach commercial production) and
biodiesel from waste oils, fats and greases have been modeled. These
feedstock sources have little or no land use impact so the GHG impacts
associate with their use in biofuel production are largely the result
of energy required to produce the feedstock (in the case of algal oil)
and the energy required to turn that feedstock into a biofuel.
Sugarcane Ethanol: Sugarcane ethanol was analyzed considering a
range of technologies and assuming alternative pathways for dehydrating
the ethanol prior to its use as a biofuel in the U.S. For the final
rule, our analysis also shows less overall indirect land use change
(less land needed) associated with sugarcane ethanol production. For
the proposal, we assumed sugarcane expansion in Brazil would result in
cropland expansion into grassland and lost pasture being replaced
through deforestation. Based on newly available regional specific data
from Brazil, historic trends, and higher resolution satellite data, in
the final rule, sugarcane expansion onto grassland is coupled with
greater pasture intensification, such that there is less projected
impact on forests. Furthermore, new data provided by commenters showed
reduced sugarcane ethanol process energy, which also reduced the
estimated lifecycle GHG impact of sugarcane ethanol production.
Cellulosic Ethanol: We analyzed cellulosic ethanol production using
both biochemical (enzymatic) and thermo-chemical processes with corn
stover, switchgrass, and forestry thinnings and waste as feedstocks.
For cellulosic diesel, we analyzed production using the Fischer-Tropsch
process. For the final rule, we updated the cellulosic ethanol
conversion rates based on new data provided by the National Renewable
Energy Laboratory (NREL.) As a result of this update, the gallons per
ton yields for switchgrass and several other feedstock sources
increased in our analysis for the final rule, while the predicted
yields from corn residue and several other feedstock sources decreased
slightly from the NPRM values. In addition, we also updated our
feedstock production yields based on new work conducted by the Pacific
Northwest National Laboratory (PNNL). This analysis increased the tons
per acre yields for several dedicated energy crops. These updates
increased the amount of cellulosic ethanol projected to come from
energy crops. While the increase in crop yields and conversion
efficiency reduced the GHG emissions associated with cellulosic
ethanol, there remains an increased demand for land to grow dedicated
energy crops; this land use impact resulted in increased GHG emissions
with the net result varying by the type of cellulosic feedstock source.
[[Page 14679]]
We note that several of the renewable fuel pathways modeled are
still in early stages of development or commercialization and are
likely to continue to develop as the industry moves toward commercial
production. Therefore, it will be necessary to reanalyze several
pathways using updated data and information as the technologies
develop. For example, biofuel derived from algae is undergoing wide
ranging development. Therefore for now, our algae analyses presume
particular processes and energy requirements which will need to be
reviewed and updated as this fuel source moves toward commercial
production.
For this final rule we have incorporated a statistical analysis of
uncertainty about critical variables in our pathway analysis. This
uncertainty analysis is explained in detail in Section V and is
consistent with the specific recommendations received through our peer
review and public comments on the proposal. The uncertainty analysis
focused on two aspects of indirect land use change--the types of land
converted and the GHG emission associated with different types of land
converted. In particular, our uncertainty analysis focused on such
specific sources of information as the satellite imaging used to inform
our assessment of land use trends and the specific changes in carbon
storage expected from a change in land use in each geographic area of
the world modeled. We have also performed additional sensitivity
analyses including analysis of two yield scenarios for corn and soy
beans to assess the impact of changes in yield assumptions.
This uncertainty analysis provides information on both the range of
possible outcomes for the parameters analyzed, an estimate of the
degree of confidence that the actual result will be within a particular
range (in our case, we estimated a 95% confidence interval) and an
estimate of the central tendency or midpoint of the GHG performance
estimate.
In the proposal, we considered several options for the timeframe
over which to measure lifecycle GHG impacts and the possibility of
discounting those impacts. Based on peer review recommendations and
other comments received, EPA is finalizing its assessments based on an
analysis assuming 30 years of continued emission impacts after the
program is fully phased in by 2022 and without discounting those
impacts.
EPA also notes that it received significant comment on our proposed
baseline lifecycle greenhouse gas assessment of gasoline and diesel
(``petroleum baseline''). While EPA has made several updates to the
petroleum analysis in response to comments (see Section V for further
discussion), we are finalizing the approach based on our interpretation
of the definition in the Act as requiring that the petroleum baseline
represent an average of the gasoline and diesel fuel (whichever is
being replaced by the renewable fuel) sold as transportation fuel in
2005.
As discussed in more detail later, the modeling results developed
for purposes of the final rule provide a rich and comprehensive base of
information for making the threshold determinations. There are numerous
modeling runs, reflecting updated inputs to the model, sensitivity
analyses, and uncertainty analyses. The results for different scenarios
include a range and a best estimate or mid-point. Given the potentially
conservative nature of the base crop yield assumption, EPA believes the
actual crop yield in 2022 may be above the base yield; however we are
not in a position to characterize how much above it might be. To the
extent actual yields are higher, the base yield modeling results would
underestimate to some degree the actual GHG emissions reductions
compared to the baseline.
In making the threshold determinations for this rule, EPA weighed
all of the evidence available to it, while placing the greatest weight
on the best estimate value for the base yield scenario. In those cases
where the best estimate for the base yield scenario exceeds the
reduction threshold, EPA judges that there is a good basis to be
confident that the threshold will be achieved and is determining that
the bio-fuel pathway complies with the applicable threshold. To the
extent the midpoint of the scenarios analyzed lies further above a
threshold for a particular biofuel pathway, we have increasingly
greater confidence that the biofuel exceeds the threshold.
EPA recognizes that certain commenters suggest that there is a very
high degree of uncertainty associated in particular with determining
international indirect land use changes and their emissions impacts,
and because of this EPA should exclude any calculation of international
indirect land use changes in its lifecycle analysis. Commenters say EPA
should make the threshold determinations based solely on modeling of
other sources of lifecycle emissions. In effect, commenters argue that
the uncertainty of the modeling associated with international indirect
land use change means we should use our modeling results but exclude
that part of the results associated with international land use change.
For the reasons discussed above and in more detail in Section V,
EPA rejects the view that the modeling relied upon in the final rule,
which includes emissions associated with international indirect land
use change, is too uncertain to provide a credible and reasonable
scientific basis for determining whether the aggregate lifecycle
emissions exceed the thresholds. In addition, as discussed elsewhere,
the definition of lifecycle emissions includes significant indirect
emissions associated with land use change. In deciding whether a bio-
fuel pathway meets the threshold, EPA has to consider what it knows
about all aspects of the lifecycle emissions, and decide whether there
is a valid basis to find that the aggregate lifecycle emissions of the
fuel, taking into account significant indirect emissions from land use
change meets the threshold. Based on the analyses conducted for this
rule, EPA has determined international indirect land use impacts are
significant and therefore must be included in threshold compliance
assessment.
If the international land use impacts were so uncertain that their
impact on lifecycle GHG emissions could not be adequately determined,
as claimed by commenters, this does not mean EPA could assume the
international land use change emissions are zero, as commenters
suggest. High uncertainty would not mean that emissions are small and
can be ignored; rather it could mean that we could not tell whether
they are large or small. If high uncertainty meant that EPA were not
able to determine that indirect emissions from international land use