Regional Haze Regulations and Guidelines for Best Available Retrofit Technology (BART) Determinations, 39104-39172 [05-12526]
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Federal Register / Vol. 70, No. 128 / Wednesday, July 6, 2005 / Rules and Regulations
40 CFR Part 51
[FRL–7925–9]
RIN 2060–AJ31
Regional Haze Regulations and
Guidelines for Best Available Retrofit
Technology (BART) Determinations
Environmental Protection
Agency (EPA).
ACTION: Final rule.
AGENCY:
SUMMARY: On July 1, 1999, EPA
promulgated regulations to address
regional haze (64 FR 35714). These
regulations were challenged, and on
May 24, 2002, the U.S. Court of Appeals
for the District of Columbia Circuit
issued a ruling vacating the regional
haze rule in part and sustaining it in
part. American Corn Growers Ass’n v.
EPA, 291 F.3d 1 (D.C. Cir. 2002).
Today’s rule addresses the court’s ruling
in that case.
In addition, prior to the court’s
decision, EPA had proposed guidelines
for implementation of the Best Available
Retrofit Technology (BART)
requirements under the regional haze
rule, (66 FR 38108, July 20, 2001). The
proposed guidelines were intended to
clarify the requirements of the regional
haze rule’s BART provisions. We
proposed to add the guidelines and also
proposed to add regulatory text
requiring that these guidelines be used
for addressing BART determinations
under the regional haze rule. In
addition, we proposed one revision to
guidelines issued in 1980 for facilities
contributing to ‘‘reasonably
attributable’’ visibility impairment.
In the American Corn Growers case,
the court vacated and remanded the
BART provisions of the regional haze
rule. In response to the court’s ruling,
on May 5, 2004 we proposed new BART
provisions and reproposed the BART
guidelines. The American Corn Growers
court also remanded to the Agency its
decision to extend the deadline for the
submittal of regional haze plans.
Subsequently, Congress amended the
deadlines for regional haze plans
(Consolidated Appropriations Act for
Fiscal Year 2004, Public Law 108–199,
January 23, 2004). The May 5, 2004
proposed rule also contained an
amendment to the regional haze rule to
conform to the new statutory deadlines.
We received numerous comments on
both the July 20, 2001 proposal and the
May 5, 2004 reproposal. Today’s final
rule reflects our review of the public
comments.
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The regulatory amendments
announced herein take effect on
September 6, 2005.
ADDRESSES: Docket. All documents in
the docket are listed in the EDOCKET
index at https://www.epa.gov/edocket.
Although listed in the index, some
information is not publicly available,
i.e., 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 in
EDOCKET or in hard copy at the OAR
Docket, EPA/DC, EPA West, Room
B102, 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 OAR Docket is (202) 566–1742.
FOR FURTHER INFORMATION CONTACT:
Kathy Kaufman at (919) 541–0102 or by
e-mail at Kaufman.Kathy@epa.gov or
Todd Hawes at 919–541–5591 or by email Hawes.Todd@epa.gov.
SUPPLEMENTARY INFORMATION:
Regulated Entities. This final rule will
affect the following: State and local
permitting authorities and Indian Tribes
containing major stationary sources of
pollution affecting visibility in federally
protected scenic areas.
This list is not intended to be
exhaustive, but rather provides a guide
for readers regarding entities likely to be
regulated by this action. This list gives
examples of the types of entities EPA is
now aware could potentially be
regulated by this action. Other types of
entities not listed could also be affected.
To determine whether your facility,
company, business, organization, etc., is
regulated by this action, you should
examine the applicability criteria in Part
II of this preamble. If you have any
questions regarding the applicability of
this action to a particular entity, consult
the people listed in the preceding
section.
Outline. The contents of today’s
preamble are listed in the following
outline.
DATES:
ENVIRONMENTAL PROTECTION
AGENCY
I. Overview of Today’s Proposed Actions
II. Background
A. Regional Haze Rule
B. Partial Remand of the Regional Haze
Rule in American Corn Growers
C. Changes in Response to American Corn
Growers
D. Center for Energy and Economic
Development v. EPA
E. Relationship Between BART and the
Clean Air Interstate Rule (CAIR)
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F. Overview of the BART Process
III. Detailed Discussion of the BART
Guidelines
A. Introduction
B. Scope of the Rule—Whether to Require
States to Follow the Guidelines for All
BART Sources
C. How to Identify BART-Eligible Sources
D. How to Determine Which BART-Eligible
Sources are Subject to BART
E. The BART Determination Process
IV. Effect of This Rule on State Options for
Using Alternative Strategies In Lieu of
Source-by-Source BART
V. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory
Planning and Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
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 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
I. Overview of Today’s Actions
Today’s rulemaking provides the
following changes to the regional haze
regulations:
(1) Revised regulatory text in response
to the American Corn Growers court’s
remand, to require that the BART
determination include an analysis of the
degree of visibility improvement
resulting from the use of control
technology at each source subject to
BART,
(2) Revised regulatory text in 40 CFR
51.308(b) and deletion of 40 CFR
51.308(c) Options for regional planning
in response to Congressional legislation
amending the deadlines for submittal of
regional haze implementation plans.
This provision had provided for an
alternative process for States to submit
regional haze implementation plans in
attainment areas,
(3) BART guidelines, contained in a
new Appendix Y to 40 CFR part 51,
(4) New and revised regulatory text, to
be added to 40 CFR 51.308(e), regarding
the use of Appendix Y in establishing
BART emission limits, and
(5) Revised regulatory language at 40
CFR 51.302 to clarify the relationship
between New Source Performance
Standards (NSPS) and BART for
reasonably attributable visibility
impairment.
How This Preamble Is Structured.
Section II provides background on the
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Clean Air Act (CAA) BART
requirements as codified in the regional
haze rule, on the D.C. Circuit Court
decision which remanded parts of the
rule, and on the April 2004 reproposal
responding to the remand. Section III
discusses specific issues in the BART
guidelines in more detail, including
background on each issue, major
comments we received on the July 2001
proposal and May 2004 reproposal, and
our responses to those comments.
Section IV provides a discussion of how
this rulemaking complies with the
requirements of Statutory and Executive
Order Reviews.
II. Background
A. The Regional Haze Rule
In 1999, we published a final rule to
address a type of visibility impairment
known as regional haze (64 FR 35714,
July 1, 1999). The regional haze rule
requires States to submit
implementation plans (SIPs) to address
regional haze visibility impairment in
156 Federally-protected parks and
wilderness areas. These 156 scenic areas
are called ‘‘mandatory Class I Federal
areas’’ in the Clean Air Act (CAA)1 but
are referred to simply as ‘‘Class I areas’’
in today’s rulemaking. The 1999 rule
was issued to fulfill a long-standing EPA
commitment to address regional haze
under the authority and requirements of
sections 169A and 169B of the CAA.
As required by the CAA, we included
in the final regional haze rule a
requirement for BART for certain large
stationary sources that were put in place
between 1962 and 1977. We discussed
these requirements in detail in the
preamble to the final rule (64 FR at
35737–35743). The regulatory
requirements for BART were codified at
40 CFR 51.308(e) and in definitions that
appear in 40 CFR 51.301.
The CAA, in sections 169A(b)(2)(A)
and in 169A(g)(7), uses the term ‘‘major
stationary source’’ to describe those
sources that are the focus of the BART
requirement. To avoid confusion with
other CAA requirements which also use
the term ‘‘major stationary source’’ to
refer to a somewhat different population
of sources, the regional haze rule uses
the term ‘‘BART-eligible source’’ to
describe these sources. The BARTeligible sources are those sources which
have the potential to emit 250 tons or
more of a visibility-impairing air
pollutant, were put in place between
August 7, 1962 and August 7, 1977, and
whose operations fall within one or
more of 26 specifically listed source
categories. Under the CAA, BART is
1 See,
e.g. CAA Section 169A(a)(1).
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required for any BART-eligible source
which a State determines ‘‘emits any air
pollutant which may reasonably be
anticipated to cause or contribute to any
impairment of visibility in any such
area.’’ Accordingly, for stationary
sources meeting these criteria, States
must address the BART requirement
when they develop their regional haze
SIPs.
Section 169A(g)(7) of the CAA
requires that States must consider the
following factors in making BART
determinations:
(1) The costs of compliance,
(2) The energy and nonair quality
environmental impacts of compliance,
(3) Any existing pollution control
technology in use at the source,
(4) The remaining useful life of the
source, and
(5) The degree of improvement in
visibility which may reasonably be
anticipated to result from the use of
such technology.
These statutory factors for BART were
codified at 40 CFR 51.308(e)(1)(ii).
In the preamble to the regional haze
rule, we committed to issuing further
guidelines to clarify the requirements of
the BART provision. The purpose of this
rulemaking is to fulfill this commitment
by providing guidelines to assist States
as they identify which of their BARTeligible sources should undergo a BART
analysis (i.e., which are ‘‘sources subject
to BART’’) and select controls in light of
the statutory factors listed above (‘‘the
BART determination’’).
B. Partial Remand of the Regional Haze
Rule in American Corn Growers v. EPA
In response to challenges to the
regional haze rule by various
petitioners, the D.C. Circuit in American
Corn Growers 2 issued a ruling striking
down the regional haze rule in part and
upholding it in part. This section
discusses the court’s opinion in that
case as background for the discussion of
specific changes to the regional haze
rule and the BART guidelines presented
in the next two sections, respectively.
We explained in the preamble to the
1999 regional haze rule that the BART
requirements in section 169A(b)(2)(A) of
the CAA demonstrate Congress’ intent
to focus attention directly on the
problem of pollution from a specific set
of existing sources (64 FR 35737). The
CAA requires that any of these existing
sources ‘‘which, as determined by the
State, emits any air pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of
visibility [in a Class I area],’’ shall
install the best available retrofit
technology for controlling emissions.3
In determining BART, the CAA requires
the State to consider several factors that
are set forth in section 169(g)(2) of the
CAA, including the degree of
improvement in visibility which may
reasonably result from the use of such
technology.
The regional haze rule addresses
visibility impairment resulting from
emissions from a multitude of sources
located across a wide geographic area.
Because the problem of regional haze is
caused in large part by the long-range
transport of emissions from multiple
sources, and for certain technical and
other reasons explained in that
rulemaking, we had adopted an
approach that required States to look at
the contribution of all BART sources to
the problem of regional haze in
determining both applicability and the
appropriate level of control.
Specifically, we had concluded that if a
source potentially subject to BART is
located within an upwind area from
which pollutants may be transported
downwind to a Class I area, that source
‘‘may reasonably be anticipated to cause
or contribute’’ to visibility impairment
in the Class I area. Similarly, we had
also concluded that in weighing the
factors set forth in the statute for
determining BART, the States should
consider the collective impact of BART
sources on visibility. In particular, in
considering the degree of visibility
improvement that could reasonably be
anticipated to result from the use of
such technology, we stated that the
State should consider the degree of
improvement in visibility that would
result from the cumulative impact of
applying controls to all sources subject
to BART. We had concluded that the
States should use this analysis to
determine the appropriate BART
emission limitations for specific
sources.4
In American Corn Growers v. EPA,
industry petitioners challenged EPA’s
interpretation of both these aspects of
the BART determination process and
raised other challenges to the rule. The
court in American Corn Growers
concluded that the BART provisions in
the 1999 regional haze rule were
inconsistent with the provisions in the
CAA ‘‘giving the states broad authority
over BART determinations.’’ 291 F.3d at
8. Specifically, with respect to the test
for determining whether a source is
subject to BART, the court held that the
3 CAA
sections 169A(b)(2) and (g)(7).
66 FR at 35737–35743 for a discussion of
the rationale for the BART requirements in the 1999
regional haze rule.
4 See
2 American Corn Growers et al. v. EPA, 291 F.3d
1 (2002).
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method that EPA had prescribed for
determining which eligible sources are
subject to BART illegally constrained
the authority Congress had conferred on
the States. Id. The court did not decide
whether the general collective
contribution approach to determining
BART applicability was necessarily
inconsistent with the CAA. Id. at 9.
Rather, the court stated that ‘‘[i]f the
[regional haze rule] contained some
kind of a mechanism by which a state
could exempt a BART-eligible source on
the basis of an individualized
contribution determination, then
perhaps the plain meaning of the Act
would not be violated. But the [regional
haze rule] contains no such
mechanism.’’ Id. at 12.
The court in American Corn Growers
also found that our interpretation of the
CAA requiring the States to consider the
degree of improvement in visibility that
would result from the cumulative
impact of applying controls in
determining BART was inconsistent
with the language of the Act. 291 F.3d
at 8. Based on its review of the statute,
the court concluded that the five
statutory factors in section 169A(g)(2)
‘‘were meant to be considered together
by the states.’’ Id. at 6.
C. Changes in Response to American
Corn Growers
Today’s rule responds to the
American Corn Growers court’s decision
on the BART provisions by including
changes to the regional haze rule at 40
CFR 51.308, and by finalizing changes
to the BART guidelines. This section
outlines the changes to the regional haze
rule due to the court’s remand. It also
explains the minor change we are
making to the section of the regulation
governing the use of the 1980 BART
guidelines when conducting BART
analyses for certain power plants for
reasonably attributable (i.e., localized)
visibility impairment.
1. Determination of Which Sources Are
Subject to BART
Today’s action addresses the
American Corn Growers court’s vacature
of the requirement in the regional haze
rule requiring States to assess visibility
impacts on a cumulative basis in
determining which sources are subject
to BART. Because this requirement was
found only in the preamble to the 1999
regional haze rule (see 291 F.3d at 6,
citing 64 FR 35741), no changes to the
regulations are required. Instead, this
issue is addressed in the BART
guidelines, which provide States with
appropriate techniques and methods for
determining which BART-eligible
sources ‘‘may reasonably be anticipated
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to cause or contribute to any
impairment of visibility in any
mandatory Class I Federal area.’’ These
processes, to address the holding of
American Corn Growers by eliminating
the previous constraint on State
discretion, are explained in further
detail in sections II.D. and III below.
2. Consideration of Anticipated
Visibility Improvements in BART
Determinations
Pursuant to the remand in American
Corn Growers, we are amending the
regional haze rule to require the States
to consider the degree of visibility
improvement resulting from a source’s
installation and operation of retrofit
technology, along with the other
statutory factors set out in CAA section
169A(g)(2), when making a BART
determination. This has been
accomplished by listing the visibility
improvement factor with the other
statutory BART determination factors in
40 CFR 51.308(e)(1)(A), so that States
will be required to consider all five
factors, including visibility impacts, on
an individual source basis when making
each individual source BART
determination.
D. Center for Energy and Economic
Development v. EPA
After the May 2004 reproposal of the
BART guidelines, the D.C. Circuit
decided another case where BART
provisions were at issue, Center for
Energy and Economic Development v.
EPA, 398 F.3d 653, 2005 (‘‘CEED’’). In
this case, the court granted a petition
challenging provisions of the regional
haze rule governing the optional
emissions trading program for certain
western States and Tribes (the ‘‘WRAP
Annex Rule’’).
The court in CEED affirmed our
interpretation of CAA section
169A(b)(2) as allowing for non-BART
alternatives where those alternatives are
demonstrated to make greater progress
than BART. (CEED, slip. op. at 13). The
court, however, took issue with
provisions of the regional haze rule
governing the methodology of that
demonstration. Specifically, 40 CFR
51.308(e)(2) requires that visibility
improvements under source-specific
BART—the benchmark for comparison
to the alternative program—be estimated
based on the application of BART
controls to all sources subject to BART.
(This section was incorporated into the
WRAP Annex rule by reference at 40
CFR 51.309(f)). The court held that we
could not require this type of group
BART approach—vacated in American
Corn Growers in a source-specific BART
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context—even in a program in which
State participation was wholly optional.
The BART guidelines as proposed in
May 2004 contained a section offering
guidance to States choosing to address
their BART-eligible sources under the
alternative strategy provided for in 40
CFR 51.308(e)(2). This guidance
included criteria for demonstrating that
the alternative program achieves greater
progress towards eliminating visibility
impairment than would BART.
In light of the D.C. Circuit’s decision
in CEED, we have not included the
portion of the proposed BART
guidelines addressing alternative
programs in today’s rulemaking. We
remain committed to providing States
with the flexibility to address BART
through alternative means, and we note
again that our authority to do so was
upheld in CEED. Therefore, we intend
to revise the provisions of the regional
haze rule governing such alternatives
and provide any additional guidance
needed in a subsequent rulemaking
conducted as expeditiously as
practicable.
E. Relationship Between BART and the
Clean Air Interstate Rule (CAIR)
On March 10, 2005, EPA issued the
Clean Air Interstate Rule (CAIR),
requiring reductions in emissions of
sulfur dioxide (SO2) and nitrogen oxides
(NOX) in 28 eastern States and the
District of Columbia. When fully
implemented, CAIR will reduce SO2
emissions in these states by over 70
percent and NOX emissions by over 60
percent from 2003 levels. The CAIR
imposes specified emissions reduction
requirements on each affected State, and
establishes an EPA-administered cap
and trade program for EGUs in which
States may participate as a means to
meet these requirements. The
relationship between BART and the
Clean Air Interstate Rule (CAIR) is
discussed in section IV. below.
F. Overview of the BART Process
The process of establishing BART
emission limitations can be logically
broken down into three steps: First,
States identify those sources which
meet the definition of ‘‘BART-eligible
source’’ set forth in 40 CFR 51.301.
Second, States determine whether such
sources ‘‘emit[] any air pollutant which
may reasonably be anticipated to cause
or contribute to any impairment of
visibility [in a Class I area.]’’ A source
which fits this description is ‘‘subject to
BART.’’ Third, for each source subject to
BART, States then identify the
appropriate type and the level of control
for reducing emissions.
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Identifying BART-eligible sources.
The CAA defines BART-eligible sources
as those sources which fall within one
of 26 specific source categories, were
built during the 15-year window of time
from 1962 to 1977, and have potential
emissions greater than 250 tons per
year. The remand did not address the
step of identifying BART-eligible
sources, which is conceptually the
simplest of the three steps.
Sources reasonably anticipated to
cause or contribute to visibility
impairment (sources subject to BART).
As we noted in the preamble to the 1999
regional haze rule, defining the
individual contributions of specific
sources of the problem of regional haze
can be time-consuming and expensive.
Moreover, Congress established a very
low threshold in the CAA for
determining whether a source is subject
to BART. We are accordingly finalizing
several approaches for States for making
the determination of whether a source
‘‘emits any pollutants which may
reasonably be anticipated to cause or
contribute to any visibility
impairment.’’ Certain of these
approaches would allow States to avoid
undertaking unnecessary and costly
studies of an individual source’s
contribution to haze by allowing States
to adopt more streamlined processes for
determining whether, or which, BARTeligible sources are subject to BART.
In 1999, we adopted an applicability
test that looked to the collective
contribution of emissions from an area.
In particular, we stated that if ‘‘a State
should find that a BART-eligible source
is ‘reasonably anticipated to cause or
contribute’ to regional haze if it can be
shown that the source emits pollutants
within a geographic area from which
pollutants can be emitted and
transported downwind to a Class I
area.’’ 5 States certainly have the
discretion to consider that all BARTeligible sources within the State are
‘‘reasonably anticipated to cause or
contribute’’ to some degree of visibility
impairment in a Class I area.
This is consistent with the American
Corn Growers court’s decision. As
previously noted, the court’s concern
with our original approach governing
BART applicability determinations was
that it would have ‘‘tie[d] the states’
hands and force[d] them to require
BART controls at sources without any
empirical evidence of the particular
source’s contribution to visibility
impairment.’’ 291 F.3d at 8. By the same
5 64 FR 335740, July 1, 1999. The regional haze
rule discusses at length why we believe that States
should draw this conclusion. 64 FR at 35739–
35740.
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rationale, we believe it would be an
impermissible constraint of State
authority for the EPA to force States to
conduct individualized analyses in
order to determine that a BART-eligible
source ‘‘emits any air pollutant which
may reasonably be anticipated to cause
or contribute to any impairment of
visibility in any [Class I] area.’’ 6
American Corn Growers did not decide
whether consideration of visibility
impact on a cumulative basis would be
invalid in all circumstances. 291 F.3d at
9. Given the court’s emphasis on the
importance of the role of the States in
making BART determinations, we
believe that a State’s decision to use a
cumulative analysis at the eligibility
stage is consistent with the CAA and the
findings of the D.C. Circuit.
We believe a State may conclude that
all BART-eligible sources within the
State are subject to BART.7 Any
potential for inequity towards sources
could be addressed at the BART
determination stage, which contains an
individualized consideration of a
source’s contribution in establishing
BART emission limits.
States also have the option of
performing an analysis to show that the
full group of BART-eligible sources in a
State cumulatively may not be
reasonably anticipated to cause or
contribute to any visibility impairment
in Class I areas. We anticipate that in
most, if not all States, the BART-eligible
sources are likely to cause or contribute
to some visibility impairment in Class I
areas. However, it is possible that using
a cumulative approach, a State could
show that its BART sources do not pose
a problem.
Finally, States may consider the
individualized contribution of a BARTeligible source to determine whether a
specific source is subject to BART.
Specifically, States may choose to
undertake an analysis of each BARTeligible source in the State in
considering whether each such source
meets the test set forth in the CAA of
‘‘emit[ting] any air pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of
visibility in any [Class I] area.’’
Alternatively, States may choose to
presume that all BART-eligible sources
within the State meet this applicability
test, but provide sources with the ability
to demonstrate on a case by case basis
that this is not the case. Either approach
section 169A(b)(2)(A).
64 FR at 35714, 35721; see also Supporting
Information for Proposed Applicability of Regional
Haze Regulations, Memorandum by Rich Damberg
to Docket A–95–38, U.S. Environmental Protection
Agency, Office of Air Quality Planning and
Standards, July 29, 1997.
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7 See
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appears consistent with the D.C.
Circuit’s statement that a collective
contribution approach may be
appropriate so long as the States are
allowed to exempt sources on the basis
of an individualized contribution
determination. 291 F.3d at 8.
Today’s guidelines include different
options States can use to assess whether
source should be subject to BART.
States need to determine whether to
make BART determinations for all of
their BART-eligible sources, or to
consider exempting some of them from
BART because they may not reasonably
be anticipated to cause or contribute to
any visibility impairment in a Class I
area. For assessing the impact of BARTeligible sources on nearby Class I areas,
we are including a process whereby the
States would use an air quality model
able to estimate a single source’s
contribution to visibility impairment
and a different process whereby States
could exempt groups of sources with
common characteristics based on
representative model plant analyses.
Finally, States may use cumulative
modeling to show that no sources in a
State are subject to BART.
The BART determination. The State
must determine the appropriate level of
BART control for each source subject to
BART. Section 169A(g)(7) of the CAA
requires States to consider the following
factors in making BART determinations:
(1) The costs of compliance, (2) the
energy and nonair quality
environmental impacts of compliance,
(3) any existing pollution control
technology in use at the source, (4) the
remaining useful life of the source, and
(5) the degree of improvement in
visibility which may reasonably be
anticipated to result from the use of
such technology. The remand did not
address the first four steps of the BART
determination. The remand did address
the final step, mandating that we must
permit States to take into account the
degree of improvement in visibility that
would result from imposition of BART
on each individual source when
deciding on particular controls.
The first four factors are somewhat
similar to the engineering analysis in
the original BART guidelines proposed
in 2001 and reproposed in 2004. The
BART guidelines also contains a
detailed discussion of available and
cost-effective controls for reducing SO2
and NOX emissions from large coal-fired
electric generating units (EGUs).
For assessing the fifth factor, the
degree of improvement in visibility from
various BART control options, the
States may run CALPUFF or another
appropriate dispersion model to predict
visibility impacts. Scenarios would be
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run for the pre-controlled and postcontrolled emission rates for each of the
BART control options under review.
The maximum 24-hour emission rates
would be modeled for a period of three
or five years of meteorological data.
States have the flexibility to develop
their own methods to evaluate model
results.
III. Detailed Discussion of the Final
BART Guidelines
A. Introduction
In this section of the preamble, we
discuss changes or clarifications to the
reproposed BART guidelines. Where
relevant, we also respond to comments
received during the comment period on
the 2001 proposal. For each provision of
the guidelines that we are changing or
clarifying, we provide discussion of, as
appropriate:
—Background information,
—How the provision was addressed in
the May 2004 reproposal (and in the
2001 proposal, if different from the
reproposal),
—A summary of comments received on
the provision, either from the May
2004 reproposal, from the July 2001
proposal, or from both, and
—The changes or clarifications that we
are finalizing and the reasons for
these changes or clarifications.
B. Scope of the Rule—Whether To
Require States To Follow the Guidelines
for All BART Sources
Background. Section 169A(b)(1) of the
CAA requires EPA to issue regulations
to provide guidelines to States on the
implementation of the visibility
program. In addition, the last sentence
of section 169A(b) states:
In the case of a fossil-fuel fired generating
powerplant having a capacity in excess of
750 megawatts, the emission limitations
required under this paragraph shall be
determined pursuant to guidelines,
promulgated by the Administrator under
paragraph (1).
This statutory requirement clearly
requires us to promulgate BART
guidelines that the States must follow in
establishing BART emission limitations
for power plants with a total capacity
exceeding the 750 megawatt cutoff. The
statute is less clear regarding the import
of the guidelines for sources other than
750 megawatt power plants.
Proposed rules. Both the 2001
proposal and the 2004 reproposal
included a requirement for States to
follow the procedures set out in the
guidelines in determining BART for
sources in all of the 26 listed BART
categories. The 2001 proposal requested
comment on whether the regional haze
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rule should: (1) Require the use of the
guidelines only for 750 megawatt
utilities, with the guidelines applying as
guidance for the remaining categories,
or (2) require the use of the guidelines
for all of the affected source categories.
Comments. We received comments on
this issue in both 2001 and 2004.
Comments varied widely on whether we
can or should require the use of the
guidelines for all of the affected source
categories.
Comments from State, local and tribal
air quality agencies generally supported
our proposal to require the use of the
guidelines for all of the source
categories. These comments cited a need
for national consistency in the
application of the BART requirement
across the source categories, and from
State to State. One State agency
commenter questioned our legal
authority to require the use of the
guidelines for all source categories; and
several State agency commenters, while
supporting the proposal, requested that
we provide clarification of the legal
authority for requiring the States to use
the guidelines in establishing BART
emission limitations for all categories.
Comments from the utility industry,
from various manufacturing trade
groups, and from individual companies
were critical of the proposal to require
States to follow the guidelines generally.
Many commenters also argued that EPA
lacked the authority to issue guidelines
for any industrial category other than
750 megawatt powerplants, whether the
use of such guidelines were mandatory
or not. Other commenters stated that the
language in the CAA clearly restricts the
scope of mandatory guidelines to larger
powerplants. The commenters cited the
legislative history of the 1977 Clean Air
Act amendments in support of this
position, and frequently claimed that
requiring the guidelines for all 26
categories of sources would deprive
States of flexibility in implementing the
program.
Comments from environmental
organizations and the general public
supported the approach in the proposed
rule and stated that EPA is obligated to
establish regional haze BART guidelines
by rulemaking for all 26 categories of
stationary sources. Environmental
organization comments noted that while
Congress expressed a particular concern
for 750 MW powerplants, this added
emphasis on one sector does not change
requirements in the Act for all BARTeligible sources. Accordingly, these
commenters believed that we should not
construe a special emphasis on
powerplants as a restriction on our
authority to require use of the
guidelines for all categories.
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Final rule. The CAA and the relevant
legislative history make clear that EPA
has the authority and obligation to
publish mandatory guidelines for
powerplants exceeding 750 megawatts.
As previously noted, Congress in
section 169A(b) of the CAA expressly
provided that emission limitations for
powerplants larger than 750 megawatts
‘‘shall be determined pursuant to
guidelines promulgated by the
Administrator.’’ (Emphasis added). This
unambiguous language leaves little
room to dispute that the guidelines EPA
is required to promulgate must be used
by States when making BART
determinations for this class of sources.
Having carefully considered the
comments and further reviewed the
CAA and the legislative history, we
have concluded that it would not be
appropriate for EPA to require States to
use the guidelines in making BART
determinations for other categories of
sources. The better reading of the Act
indicates that Congress intended the
guidelines to be mandatory only with
respect to 750 megawatt powerplants.
Thus, while we acknowledge the State
agency comments and the policy
reasons support consistency across
States, we are not requiring States to use
the BART guideline for these other
categories. In response to State concerns
about equitable application of the BART
requirement to source owners with
similar sources in different States, we
do encourage States to follow the
guidelines for all source categories but
are not requiring States to do so. States
should view the guidelines as helpful
guidance for these other categories.
We disagree with comments that the
CAA and the legislative history prohibit
us from issuing guidance for other
source categories. As the guidelines
make clear, States are not required to
follow the approach in the guidelines
for sources other than 750 megawatt
powerplants. As such, although we
believe that the guidelines provide
useful advice in implementing the
BART provisions of the regional haze
rule, we do not believe that they hamper
State discretion in making BART
determinations.
C. How To Identify BART-Eligible
Sources
Section II of the BART guidelines
contains a step-by-step process for
identifying stiationary sources that are
‘‘BART-eligible’’ under the definitions
in the regional haze rule. The four basic
steps are:
Step 1: Identify the emission units in
the BART categories.
Step 2: Identify the start-up dates of
those emission units.
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Step 3: Compare the potential
emissions from units identified in Steps
1 and 2 to the 250 ton/year cutoff.
Step 4: Identify the emission units
and pollutants that constitute the BARTeligible source.
In this section of the preamble, we
discuss some of the comments we
received on the steps in this process,
and any changes we are making in light
of those comments.
Step 1: Identify the Emission Units in
the BART Categories
The BART guidelines list the 26
source categories that the CAA uses to
describe the types of stationary sources
that are BART-eligible. Both proposals
clarified the descriptions of particular
source categories.
Comments. The final rule addresses
comments on the following source
categories. Some comments discussed
below were submitted in response to the
2001 propoosal and were not addressed
in the reproposal; other comments were
submitted in response to the reproposal
in 2004.
(1) ‘‘Charcoal production facilities.’’
We received comments in 2001 from
two industry trade groups requesting
that the final guidelines explicitly
exclude ‘‘low-emission’’ charcoal
production facilities from BART. These
comments cited a 1975 study
considered by Congress in development
of the BART category list in the 1977
CAA amendments. This 1975 study
noted that some charcoal production
facilities have much higher emissions
factors (i.e., 352 pounds of PM per ton
of charcoal produced versus 20 to 25
pounds of PM per ton of charcoal
produced). Accordingly, the comments
asserted that the intent of Congress in
the 1977 CAA amendments was to
provide incentives for higher-emitting
facilities to reduce their emissions,
rather than to make the entire category
BART-eligible.
(2) ‘‘Chemical process plants.’’ In
2001 a trade group representing the
pharmaceutical industry requested that
we determine in the guidelines that the
term ‘‘chemical process plants’’ does not
include pharmaceutical plants.
(3) ‘‘Primary aluminum ore
reduction.’’ Comments from the
aluminum industry in 2001 noted that
not all emissions units at these facilities
are necessarily involved in ‘‘primary ore
reduction.’’ Thus, the comments
recommended that we clarify that
contiguous sources that are not related
to primary aluminum ore reduction,
such as fabricating facilities and ingot
operations, are not BART-eligible.
Further, the comments recommended
that we use definitions in the NSPS for
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primary aluminum plants to describe
the BART-eligible emissions units.
(4) ‘‘Fossil-fuel fired steam electric
plants of more than 250 million Btu/
hour heat input.’’ The 2004 reproposal
contained the clarification, requested by
commenters, that this source category
refers only to those fossil-fuel fired
steam electric plants that generate
electricity for sale. One commenter
objected to this clarification on the basis
that emissions from co-generators would
be excluded; many other commenters
supported the clarification. Another
commenter requested that we also
clarify that this category includes only
those steam electric plants that burn
greater than 50 percent fossil fuel, in
order to be consistent with the
definition of fossil-fuel boilers proposed
in the guidelines. Other commenters
requested that we clarify whether the
definition includes units which are
located at a steam electric plant, but
which themselves are not in any of the
26 BART source categories, such as
simple cycle turbines, emergency diesel
engines, and reciprocating internal
combustion engines (RICE).
Several commenters opined that the
category should exclude combined cycle
units with heat recovery steam
generators that lack auxiliary firing,
arguing that these units should count as
simple cycle turbines. These
commenters pointed to other EPA
regulatory programs that treat combined
cycle units with supplemental firing
differently from combined cycle units
without supplemental firing. They
argued that we should only consider a
combined cycle unit to be a ‘‘steam
electric plant’’ if it has supplemental
firing.
(5) ‘‘Fossil-fuel boilers of more than
250 million Btu/hour heat input.’’ The
2004 reproposal clarified that this
category should be read as including
only those boilers individually greater
than 250 million Btu/hour heat input.
We received many comments on this
interpretation, both in favor and
opposed. Those favoring this
interpretation (generally industry
commenters) cited the implementation
burden that including smaller boilers
would pose, the high cost-effectiveness
of controlling smaller boilers, and the
relatively smaller impact on regional
haze that smaller boilers would pose.
They also noted that this interpretation
is most consistent with definitions in
the NOX SIP call and new source
performance standards (NSPS).
Commenters opposing this
interpretation (environmental groups,
one state, and one regional planning
organization) noted that regarding all
boilers, irrespective of size, as BART-
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eligible so long as the aggregate heat
input exceeds 250 million Btu/hour is
more consistent with the definition of
stationary source under the Prevention
of Significant Deterioration (PSD)
program. These commenters noted that
under the CAA, BART and PSD are
complementary programs aimed at
regulating the same source categories;
either one or the other applies
depending upon when the source was
constructed.
The 2004 reproposal also clarified
that if a boiler smaller than 250 million
Btu/hour heat input is an integral part
of an industrial process in a BART
source category other than electric
utilities, then the boiler should be
considered part of the BART-eligible
source in that category. Under these
circumstances, the boiler, as part of the
BART-eligible source, should be
considered for emission control. Some
commenters opposed this interpretation,
asserting that it would result in an
‘‘arbitrary and capricious’’
inconsistency, in that some smaller
boilers would be BART-eligible, and
others would not. These commenters
also noted that these boilers could be
included in regional haze SIPs as
necessary for making ‘‘reasonable
progress’’ toward CAA visibility goals,
even if they are not considered to be
BART-eligible.
Final rule. After considering the
comments, we have made the following
determinations on the definitions of the
following source categories:
(1) ‘‘Charcoal production facilities.’’
We believe that in using the term
‘‘charcoal production facilities’’
Congress intended to encompass all
types of charcoal production facilities.
We do not agree with comments that
any inferences can necessarily be made
regarding the presence of different PM
emission factors for different types of
charcoal production facilities in the
1975 report. For example, if Congress
only intended to regulate a subset of the
charcoal production industry, then we
believe Congress could have easily
indicated this in the source category
title, as was done for ‘‘kraft pulp mills’’
and for ‘‘coal cleaning plants (thermal
dryers).’’ We also note that it is more
likely that plants in the charcoal
production industry with lower
emission factors have emissions that are
less than the 250 tons per year cutoff for
BART eligibility.
(2) ‘‘Chemical process plants.’’ We
believe that there is a clear precedent to
include pharmaceutical manufacturing
operations as ‘‘chemical process
plants.’’ In the standard industrial
classification (SIC) system,
pharmaceutical operations are generally
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in SIC codes 2833 and 2834, which are
a subset of 2-digit category 28
‘‘Chemical and Allied products.’’
Similarly, in the new North American
Industrial Classification Codes (NAICS),
pharmaceutical manufacturing is codes
32541 and 32542, which is a subset of
the ‘‘chemical manufacturing subsector’’
which is code 325. Accordingly, in the
PSD program, pharmaceutical plants
have been treated as ‘‘chemical process
plants.’’ The commenter is correct in
noting that EPA has consistently
distinguished between chemical
manufacturing and pharmaceutical
manufacturing. Examples where
different standards or guidelines are
established included control technique
guideline (CTG) documents, NSPS
standards under section 111 of the CAA,
and, most recently, maximum
achievable control technology (MACT)
standards under section 112 of the CAA.
We do not agree that these
differentiations for emissions standards
necessarily require differentiation for
purposes of determining BART
eligibility. Therefore we believe
pharmaceuticals should not be excluded
from BART. However, we expect that
because of the MACT standards, there is
a very low probability that BART
determinations will lead to further
control requirements from chemical
production processes at pharmaceutical
plants.
(3) ‘‘Primary aluminum ore
reduction.’’ We agree with commenters
that BART-eligible units in this source
category should be defined consistently
with the NSPS definition for primary
aluminum ore reduction. Therefore we
have added a clarification to that effect
in the final BART guidelines. We note
that this definition is also consistent
with the definition at 40 CFR 63.840,
which establishes applicability for this
source category for the MACT program.
(4) ‘‘Fossil-fuel fired steam electric
plants of more than 250 million Btu/
hour heat input.’’ We have retained the
clarification that this source category
refers only to those fossil-fuel fired
steam electric plants that generate
electricity for sale. We believe that this
clarification helps to distinguish those
plants that are electric utilities from
plants in other industrial categories. We
also believe that while large cogenerators would be excluded from the
fossil-fuel fired steam electric plant
source category, most large cogenerators will be BART-eligible under
the fossil-fuel fired boilers source
category.
We do not believe it makes sense for
this category to include only those
steam electric plants that burn greater
than 50 percent fossil fuel. We do not
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believe that a boiler should be excluded
from BART review simply because it is
located at a plant which burns less than
50 percent fossil fuel. Emissions from
any such boiler could be a significant
contributor to regional haze, and as
such, we believe that each fossil-fuel
fired boiler merits a BART review.
We do wish to clarify that units which
are located at a steam electric plant, but
which themselves are not in any of the
26 BART source categories, should not
be considered to be BART-eligible units.
We believe that Congress intended that
BART review be focused on units in the
source categories it delineated. This
interepretation is most consistent with
the definition of BART-eligible source
as we have explained it elsewhere in
this preamble in reference to whether
entire plants are included if only some
units at the plant meet the statutory
criteria.
Finally, we believe that all combined
cycle units are included in the
definition of fossil fuel fired steam
electric plant, regardless of whether the
combined cycle unit’s heat recovery
steam generator lacks auxilliary firing.
Commenters are correct that some EPA
programs have treated combined cycle
units with supplemental firing
differently from combined cycle units
without supplemental firing. However,
while some EPA programs do not
consider a unit to be a combined cycle
unit unless it contains supplemental
firing, the definition at issue here is the
definition of fossil-fuel fired steam
electric plant, not fossil-fuel fired unit.
The CAA defines both ‘‘stationary
source’’ (for visibility purposes) and
‘‘major emitting facility’’ (for PSD
purposes) to include ‘‘fossil fuel fired
steam electric plants.’’ In previous
guidance for PSD, we have explained
that combined cycle gas turbines do fall
within the category of ‘‘fossil-fuel fired
steam electric plants.’’ 8
(5) ‘‘Fossil-fuel boilers of more than
250 million Btu/hour heat input.’’ We
have decided to retain the interpretation
that this category should be read as
including only those boilers
individually greater than 250 million
Btu/hour heat input. We agree with
commenters who noted that including
smaller boilers would pose considerable
implementation burden. As noted in the
2004 reproposal notice, we do not
believe that this interpretation is likely
to have a substantial impact. Because
smaller boilers are generally less costeffective to control, we believe that
BART review would be unlikely to
8 See https://www.epa.gov/Region7/programs/
artrd/air/nsr/nsrmemos/turbines.pdf.
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result in a significant amount of control
on these boilers.
We are also retaining the clarification
that if a boiler smaller than 250 million
Btu/hour heat input is an integral part
of an industrial process in a BART
source category other than electric
utilities, then the boiler should be
considered part of the BART-eligible
source in that category. (By ‘‘integral to
the process’’, we mean that the process
uses any by-product of the boiler, or
vice-versa. We have added this
clarification to the definition in the
BART guidelines.) We believe that if a
State is already considering a BARTeligible industrial process for control,
and a boiler is integrated into that
process, it makes common sense not to
prematurely rule out control options
any of the emissions from that process
as a whole. (Note that a boiler which is
not integral, but is simply attached to a
plant, should not be included.) For
example, Kraft pulp mills may have
boilers that are not serving the energy
infrastructure of the plant but typically
are serving a process directly by using
the waste liquor from the process.
Including such a boiler in consideration
of control options for the process adds
minimal additional burden while
leaving maximum discretion to the State
in determining BART for the process as
a whole.
We are also clarifying today that we
have determined that this category
should include all individual boilers of
greater than 250 million Btu/hour heat
input burning any amount of fossil fuel,
as opposed to only those boilers that
burn greater than 50 percent fossil fuel.
We believe that it is quite possible that
boilers of this size could contribute to
regional haze in a Class I area even if
they burn less than 50 percent fossil
fuel. Therefore we believe that each
fossil fuel-fired boiler merits a BART
review.
Step 2: Identify the Start-up Dates of
Those Emission Units
Background. BART applies only to a
major stationary source which ‘‘was in
existence on August 7, 1977 but which
has not been in operation for more than
fifteen years as of such date.’’ The
visibility regulations define ‘‘in
existence’’ and ‘‘in operation’’ in 40 CFR
51.301. Under these regulations,
promulgated in 1980, ‘‘in existence’’
means
that the owner or operator has obtained all
necessary preconstruction approvals or
permits * * * and either has (1) begun, or
caused to begin, a continuous program of
physical on-site construction of the facility or
(2) entered into binding agreements or
contractual obligations.
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The term ‘‘in operation’’ means engaged
in activity related to the primary design
function of the source.
Step 2 also addresses the treatment of
‘‘reconstructions’’ and ‘‘modifications.’’
Under the definition of BART-eligible
facility, sources which were in
operation before 1962 but reconstructed
during the 1962 to 1977 time period are
treated as new sources as of the time of
reconstruction.9 The same policies and
procedures for identifying reconstructed
‘‘affected facilities’’ under the NSPS are
used to determine whether a source has
been reconstructed for purposes of the
BART requirements. ‘‘Modifications’’
under the CAA refers to physical change
or change in the method of operation at
a source which has led to an increase in
emissions. In the proposed BART
guidelines, we stated that the best
interpretation of the visibility
provisions is that a modification to a
source does not change an emission’s
unit construction date for purposes of
BART applicability. We requested
comment on an alternative
interpretation that we believed would
be more difficult to implement. Under
this approach, sources built before 1962
but modified during the 1962 to 1977
time frame would be considered ‘‘new’’
at the time of modification.
Comments. We received comments in
2001 and 2004 on the discussion in the
guideline of the term ‘‘in existence.’’
These comments were critical of our
statement in the guidelines that sources
which had ‘‘commenced construction,’’
that is, those which had entered into
binding contracts, would be considered
to be in existence, even if actual
operations did not begin until after the
August 7, 1977 cutoff date. These
commenters asserted that Congress did
not intend to treat a source as ‘‘existing’’
in 1977 if it was not yet built.
Other commenters interpreted the
proposed guidelines as expanding the
definition of BART-eligible sources by
requiring States to find that all emission
units at a facility are BART-eligible if
one part of the facility was built within
the 1962–1977 time period. Other
comments did not suggest that we had
already expanded the definition in the
proposed guidelines, but did suggest
that we should expand the definition in
that way in the final guidelines. Some
commenters noted that there was a
degree of confusion in the regulated
community on whether the proposed
guidelines were requiring BART for all
units at a power plant, including those
that were in operation before August 7,
9 However, sources reconstructed after 1977,
which reconstruction had gone through NSR/PSD
permitting, are not BART-eligible.
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1962, if these units are co-located with
one or more units that were put in place
within the 1962–1977 time period.
These commenters requested that we
clarify that such pre-1962 units would
not be BART-eligible.
Some commenters asserted that our
proposed approach is unworkable,
because the approach requires States to
identify all emissions units put in place
between the 1962 and 1977. Some of
these commenters asserted that
Congress intended that BART would
apply only if entire plants satisfy the
statutory criteria. These comments
suggested that BART should apply only
if an entire plant that is one of the 26
listed source category types had been
placed in operation at a discrete point
within the 15 year time period for BART
eligibility. These commenters asserted
that our proposed guidelines, which
involved the identification and
aggregation of individual emission units
within the 1962–1977 time period, were
inconsistent with Congress’ intent.
Other comments suggested that EPA
could improve implementation of the
program by covering discrete projects
rather than individual emissions units.
A few commenters suggested that for
purposes of identifying such discrete
projects, we consider using the term
‘‘process or production unit’’ that we
used in hazardous air pollutant
regulations under CAA section 112(g).
One commenter requested that the
guidelines clarify that emissions from
‘‘linked’’ emission units should not be
considered in determining BART
eligibility. That is, even if changes in
emissions from one unit could affect the
emissions from a ‘‘linked’’ unit that was
not put in place within the 1962–1977
time period, that would not affect
whether the ‘‘linked’’ unit was BARTeligible. Another commenter suggested
that the approach set forth in the
guidelines for identifying BART-eligible
sources is inappropriate because the
particular set of units identified as
BART-eligible will not necessarily
‘‘provide a reasonable and logical
platform for the installation of
controls.’’
Other commenters stated that
facilities that had been modified after
1977 should not be included in the pool
of sources subject to BART. Such
facilities, it was argued, already meet
the BART requirements because of the
controls installed to meet the
requirements of PSD, NSR, or the NSPS.
Final rule. We disagree with the
comments recommending that we
interpret the term ‘‘in existence’’ to refer
to sources that are in actual operation.
The discussion of this term in Step 2 is
based on the regulatory definition
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which has been in place since 1980. The
guidelines reiterate this definition and
provide examples of its application.
Interpreting the term ‘‘in existence’’ as
suggested by commenters would not be
consistent with the plain language of the
regulations.
In the 2001 and 2004 proposed
guidelines, we noted that ‘‘the term ‘in
existence’ means the same thing as the
term ‘commence construction’ as that
term is used in the PSD regulations.’’
Commenters were critical of this
statement, claiming that EPA was
unlawfully reinterpreting section 169A
in the guidelines. The statement in Step
2 of guidelines, however, is not a
reinterpretation of the term ‘‘in
existence,’’ but merely a statement
noting that the definitions used in the
visibility regulations and the PSD
regulations are essentially identical.
To the extent that commenters are
claiming that the existing regulatory
definition of ‘‘in existence’’ is unlawful,
EPA’s interpretation of this term in
promulgating the 1980 regulations was
a reasonable one. First, it is worth
noting that the regulations adopting this
interpretation of the term ‘‘in existence’’
were in effect in 1990 and implicitly
endorsed by Congress in its 1990
amendments to the CAA.10 Moreover,
the definition at issue accurately reflects
Congress’ intent that the BART
provision apply to sources which had
been ‘‘grandfathered’’ from the new
source review permit requirements in
parts C and D of title I of the CAA. For
all the above reasons, we are neither
revising the regional haze regulations to
change the definition of ‘‘in existence,’’
nor adopting a strained interpretation of
the regulation in the guidelines.
We agree with commenters that the
definition of ‘‘BART-eligible source’’
does not require States to find that all
emission units at a facility are subject to
the requirement of the BART provisions
if only one part of the facility was built
within the 1962–1977 time period. We
received comments on this issue in 2001
and clarified in 2004 that the BART
guidelines do not direct States to find
that all boilers at a facility are BARTeligible if one or more boilers at the
facility were put in place during the
relevant time period. Under Step 2 of
the process for identifying BARTeligible sources set out in the
guidelines, States are required to
identify only those boilers that were put
in place between 1962 and 1977. As
explained in the preamble to the 2004
reproposed guidelines, only these
boilers are potentially subject to BART.
10 See
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We do not agree with those
commenters claiming that Congress
clearly intended to apply BART only if
an ‘‘entire plant’’ was put into place
between 1962 and 1977. Most of the
BART source categories are broad
descriptions types of industrial facilities
such as ‘‘kraft pulp mills,’’ ‘‘petroleum
refineries’’ or ‘‘primary copper
smelters.’’ For such source categories,
the implication of commenters’
argument would that if any portion of
the plant was in operation before
August 7, 1962, then Congress intended
to exempt the entire plant from BART.
Such an interpretation is problematic
and inequitable. For example, under
this approach BART would not apply if
a company chose to expand its
production by building a second
production line at an existing line in
1965, but would apply if the same
company chose to build the same
equipment at a greenfield site. Under
the approach set forth in the guidelines,
such a production line would be treated
similarly under either set of facts. We do
not believe that either the plain
language of the statute or the relevant
legislative history indicate that Congress
intended for major-emitting sources of
visibility-impairing pollutants to be
exempted from the BART requirements
because a plant contains some emission
units that began operation before 1962.
Also, we disagree with the comment
that modifications after 1977 should
change an emissions’ unit date of
construction for purposes of BART
applicability. The commenter’s
suggestion that such sources already
meet BART requirements may be
accurate, but does not provide a basis
for exempting the source from review.
As we note in the guideline, the review
process will take into account the
controls already in place and the State
may find that these controls are
consistent with BART.
We agree with the comments related
to ‘‘linked’’ emission units. The
comment appears to address whether
emissions from the ‘‘linked’’ units are
considered in determining BART
eligibility. In the guidelines, we are
focusing on only the emissions units
that were put in place during the 1962
to 1977 dates and the emissions from
those units. We agree that even if
changes in emissions from one unit
could affect the emissions from a
‘‘linked’’ unit that was not put in place
within the 1962–1977 time period, this
would not affect whether the ‘‘linked’’
unit was BART-eligible.
We disagree with commenters that the
approach set forth in the guidelines for
identifying BART-eligible sources is
inappropriate because the particular set
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of units identified as BART-eligible will
not necessarily ‘‘provide a reasonable
and logical platform for the installation
of controls.’’ We do not agree that this
factor is relevant to the identification of
those emissions units which meet the
definition of BART-eligible source. Such
factors are important in the States’
consideration of control strategies and
options but do not clearly relate to the
first step of identifying those sources
which fall within one of 26 source
categories, were built during the 15 year
window of time from 1962 to 1977, and
have potential emissions of greater than
250 tons per year. We do thus agree
generally with the commenter’s
recommendation of allowing States to
consider the particular history and
control potential of units in determining
BART, but do not agree that it is
relevant to the predicate question of
identifying the BART-eligible source.
Finally, the approach to identifying a
‘‘BART-eligible source’’ in the
guidelines is based on the definitions in
the regional haze rule of the relevant
terms. For 750 MW power plants, States
are required to apply the definitions as
set forth in the guidelines; for other
sources, States may adopt a different
approach to the task of identifying
BART-eligible sources, so long as that
approach is consistent with the Act and
the implementing regulations. In other
words, while the guidelines adopt an
approach for large power plants which
involves the aggregation of all emissions
units put into place between 1962 and
1977, States have the flexibility to
consider other reasonable approaches to
the question of identifying BARTeligible sources for other source
categories.
For 750 MW power plants, many of
the issues identified by commenters
with the approach of looking at a facility
on an emission unit by emission unit
basis do not exist. Unlike many types of
industrial processes, power plants
consist generally of a discrete number of
very large emission units. For other
types of facilities such as kraft pulp
mills or chemical process plants which
may have many small emission units
that have undergone numerous changes,
the guidelines do not limit the ability of
the States to approach the question of
identifying BART-eligible sources in
ways which make sense for the
particular sources given their design
and history.
Step 3: Compare the Potential Emissions
to the 250 Ton/Yr Cutoff.
Background. Step 3 of the guidelines
addresses the question of whether the
units identified in Steps 1 and 2 have
emissions in excess of the threshold for
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major sources set forth in section
169A(g)(7) of the CAA. The guidelines
pose the following questions to help the
States in determining whether the
relevant emissions units have the
potential to emit in excess of the 250
tons per year threshold of any single
visibility-impairing pollutant:
(1) What pollutants should I address?
The 2001 proposed guidelines
included the following list of visibilityimpairing pollutants: SO2, NOX,
particulate matter, volatile organic
compounds (VOCs), and ammonia. We
proposed in 2001 and again in 2004 that
States use PM10 as the indicator for
particulate matter. As explained in the
guidelines, there is no need to have
separate 250 ton thresholds for PM10
and PM2.5 because emissions of PM10
include the components of PM2.5 as a
subset. In addition, because of various
uncertainties associated with regulating
VOCs and ammonia, we requested
comment in 2004 on the level of
discretion States should exercise in
making BART determinations for VOCs
and took ammonia off the list of
visibility-impairing pollutants.
In both proposals, we clarified that
the 250 tons per year cutoff applies to
emissions on a pollutant by pollutant
basis. In other words, a source is subject
to BART only if it emits at least 250 tons
per year of an individual visibilityimpairing pollutant.
(2) What does the term ‘‘potential’’
emissions mean?
The proposed guidelines in 2001 and
the reproposed guidelines in 2004
excerpt the definition of ‘‘potential to
emit’’ from the regulations at 40 CFR
51.301. As the definition makes clear,
the potential to emit of a source is
calculated based on its capacity to emit
a pollutant taking into account its
physical and operational design. Under
this definition, federally enforceable
emission limits may be taken into
account in calculating a source’s
potential emissions; however, emission
limitations which are enforceable only
by State and local agencies, but not by
EPA and citizens in Federal court,
cannot be used to limit a source’s
potential to emit for purposes of the
regional haze program.
(3) What is a ‘‘stationary source?’
As explained above, States are
required to make a BART determination
only for ‘‘stationary sources’’ of a certain
size that fall within one of 26 types of
industrial categories listed in the statute
and that were built within a certain time
frame. The regional haze rule contains
definitions that are relevant to the
determination of the emissions units
that comprise a ‘‘stationary source.’’
First, the regulations at 40 CFR 51.301
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define ‘‘stationary source’’ as ‘‘any
building, structure, facility, or
installation which emits or may emit
any air pollutant.’’ Second, the terms
‘‘building, structure, or facility’’ are
defined in part based on grouping
pollutant-emitting activities by
industrial category:
Building, structure, or facility means all of
the pollutant-emitting activities which
belong to the same industrial grouping, are
located on one or more contiguous or
adjacent properties, and are under the control
of the same person (or persons under
common control). Pollutant-emitting
activities must be considered as part of the
same industrial grouping if they belong to the
same Major Group (i.e., which have the same
two-digit code) as described in the Standard
Industrial Classification Manual, 1972 as
amended by the 1977 Supplement (U.S.
Government Printing Office stock numbers
4101–0066 and 003–005–00176–0
respectively).
In the 2001 proposed guideline, we
noted that support facilities, i.e.
facilities used to convey, store, or
otherwise assist in the production of the
principal product, are considered to fall
within the same industrial grouping as
the primary facility. To clarify this, in
2004 we proposed to add language to
the guideline noting that emission units
at a plant, even if they are a ‘‘support
facility’’ for purposes of other programs,
would not be subject to BART unless
they were within one of the 26 listed
source categories and were built within
the 1962 to 1977 time frame.
Discussion of ‘‘What Pollutants Should
I Address?’’
Comments. PM10 as an indicator.
Some comments questioned the use of
PM10 (which includes both coarse and
fine particulate matter) as the indicator
for particulate matter. Commenters
noted that the coarse fraction, that is
particulate matter between 10 and 2.5
micrograms in diameter, fundamentally
differs compared to the fine mass in
how it interacts with light. Commenters
suggested that only the fine mass (PM2.5)
component of particulate matter is
likely to contribute to visibility
impairment. Accordingly, these
commenters recommended that the 250
ton cutoff for particulate matter should
be based upon emissions of PM2.5.
Ammonia. Many commenters
addressed the exclusion of ammonia
from the list of visibility-impairing
pollutants. A number of commenters,
primarily from industry but also from
one state and one regional planning
organization, supported the exclusion of
ammonia. These commenters generally
cited the complexity and variability of
ammonia’s role in the formation of
PM2.5 in the atmosphere, the relative
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greater benefits of controlling NOX and
SO2, the uncertainties in the inventory
of ammonia emissions, and the inherent
complexities of gauging the contribution
of potential ammonia reductions to
improving visibility in Class I areas. In
addition, commenters noted that few, if
any, point sources emit ammonia in
amounts that exceed the 250 ton per
year threshold.
Other commenters, including a
number of environmental groups and
several states, regional planning
organizations, and industry
commenters, argued that ammonia
should be included in the list of
visibility-impairing pollutants in the
guidelines. In support of this view,
commenters cited evidence that
ammonia is a known precursor to PM2.5.
One commenter noted that
improvements are being made to
ammonia inventories and to the
understanding of ammonia’s role in the
formation of haze. Other commenters
pointed to a National Park Service (NPS)
analysis of monitoring data that
indicates that visibility-impairment due
to nitrate aerosol formation (to which
ammonia contributes) is of significant
concern 11 and to a 2003 direction to
policy-makers from the North American
Research Strategy for Tropospheric
Ozone (NARSTO) 12 indicating that
consideration of control strategies needs
to include ammonia in combination
with other precursors to particle
formation. Many commenters also
argued that EPA should encourage or
allow the States to consider ammonia in
their visibility protection plans, and
noted that ammonia reductions could be
a cost-effective way to improve visibility
under certain conditions.
Volatile Organic Compounds (VOCs).
Several commenters responded to our
request for comments on whether States
should treat VOCs in urban areas
differently from VOCs in rural areas.
Environmental groups and a few States
argued that the current state of scientific
knowledge does not support a
differentiation between urban and rural
sources of VOCs. One environmental
commenter cited evidence that organic
aerosols are a major constituent of
visibility-reducing aerosols and that
VOCs are important precursors to the
formation of secondary organic aerosols.
One commenter also stated that VOCs
may play a particularly significant role
11 See https://wrapair.org/forums/ioc/meetings/
030728/ (specifically presentation by
John Vimont, National Park Service).
12 NARSTO, Particulate Matter Assessment for
Policy Makers: A NARSTO Assessment. P.
McMurry, M. Shepherd, and J. Vickery, eds.
Cambridge University Press, Cambridge, England
(2004).
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39113
in particle formation in those rural areas
with significant nearby sources of NOX.
Commenters also cited evidence that the
contribution of VOC to particle
formation likely varies widely in
different areas of the country, and
argued that States should retain
flexibility to address local VOC sources
if they determine that those sources are
contributors of concern.
Several industry commenters stated
that more focus should be placed on
controlling VOCs in urban rather than
rural areas. A few commenters from
industry argued that VOCs in rural areas
have not been shown to be a significant
contributor to particle formation, and
should be excluded from the list of
pollutants to be addressed in the BART
process. One argued that VOCs should
be excluded from BART entirely based
upon uncertainties in the current state
of knowledge, and a few argued that
VOCs from both power plants and rural
sources should be excluded from BART,
based on low emissions and the cost of
controls. One regional planning
organization requested that EPA clarify
the definitions of ‘‘urban’’ and ‘‘rural’’
areas.
Final rule. PM10 as an indicator.
While it is always necessary to assess
PM2.5 impacts, we agree with
commenters who stated that the coarse
fraction is less efficient at light
scattering than fine particles, there is
ample evidence that the coarse fraction
does contribute to visibility
impairment.13 For example, standard
methods for calculating reconstructed
light extinction routinely include a
calculation for the contribution to light
extinction from the coarse fraction, an
implicit recognition that these particles
contribute measurably to visibility
impairment.14 We do recognize that
coarse PM is likely to contribute more
to regional haze in arid areas than
humid areas. We believe that, as the
Grand Canyon Visibility Transport
Commission (GCTVC) recognized,15
States in the arid West in particular
should take the coarse fraction of
particulate matter into account in
determining whether a source meets the
threshold for BART applicability.
Because long-range transport of fine
particles is of particular concern in the
formation of regional haze, we also
13 See Fine particles: Overview of Atmospheric
Chemistry, Sources of Emissions, and Ambient
Monitoring Data, Memorandum to Docket OAR
2002–0076, April 1, 2005.
14 These methods are described at the following
Web site: https://vista.cira.colostate.edu/improve/
Tools/ReconBext/reconBext.htm.
15 Grand Canyon Visibility Transport
Commission, Recommendations for Improving
Western Vistas, Report to the U.S. EPA, June 10,
1996.
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believe that it is very important to
estimate the PM2.5 fraction of direct
particulate emissions as correctly as
possible. In addition, we believe that air
quality modeling results will be more
meaningful provide a more accurate
prediction of a source’s impact on
visibility if the inputs account for the
relative particle size of directly emitted
particulate matter (e.g. PM10 vs. PM2.5).
States should consider whether their
current test methods for measuring
particulate matter emissions from
stationary sources account for the
condensible fraction of particulate
matter and consider revising any such
stationary source test methods to
account for the condensible fraction of
particulate emissions. See the source
testing technical support document
(TSD) in the docket for this rule, which
discusses test methods for particulate
matter in more detail.16
Ammonia. In regard to ammonia, we
believe there is sufficient uncertainty
about emission inventories and about
the potential efficacy of control
measures from location to location such
that the most appropriate approach for
States to take is a case-by-case approach.
There are scientific data illustrating that
ammonia in the atmosphere can be a
precursor to the formation of particles
such as ammonium sulfate and
ammonium nitrate; 17 however, it is less
clear whether a reduction in ammonia
emissions in a given location would
result in a reduction in particles in the
atmosphere and a concomitant
improvement in visibility. In other
words, the question of whether
ammonia contribute to visibility
impairment in a specific instance can be
a difficult one.
It may be that States will not be faced
often with the question of addressing
ammonia in making BART
determinations. As noted above, States
are required to make BART
determinations only for stationary
sources that fall within certain
industrial categories. The types of
sources subject to the BART provisions
are not typically significant emitters of
ammonia. Because of this, it is unlikely
that including ammonia on the list of
visibility-impairing pollutants in the
BART guidelines would have much
impact on the States’ determinations of
whether a source is BART-eligible.
Thus, while ammonia can contribute to
visibility impairment, we believe the
16 Fine particles: Overview of Source Testing
Approaches, Memorandum to Docket OAR 2002–
0076, April 1, 2005.
17 See Fine particles: Overview of Atmospheric
Chemistry, Sources of Emissions, and Ambient
Monitoring Data, Memorandum to Docket OAR
2002–0076, April 1, 2005.
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decision whether to consider ammonia
as a visibility-impairing pollutant in a
specific case where a potential BART
source actually emits more than 250
tons per year of ammonia is best left to
the State.
VOCs. Organic compounds can be
categorized according to their varying
degrees of volatility: highly reactive,
volatile compounds with six or fewer
carbon atoms which indirectly
contribute to PM formation through the
formation of oxidizing compounds such
as the hydroxyl radical and ozone;
semivolatile compounds with between
seven and 24 carbon atoms which can
exist in particle form and can readily be
oxidized to form other low volatility
compounds; and high molecular weight
organic compounds—those with 25
carbon atoms or more and low vapor
pressure—which are emitted directly as
primary organic particles and exist
primarily in the condensed phase at
ambient temperatures. The latter organic
compounds are considered to be
primary PM2.5 emissions and not VOCs
for BART purposes.
Current scientific and technical
information shows that carbonaceous
material is a significant fraction of total
PM2.5 mass in most areas and that
certain aromatic VOC emissions such as
toluene, xylene, and trimethyl-benzene
are precursors to the formation of
secondary organic aerosol.18 However,
while progress has been made in
understanding the role of VOCs in the
formation of organic PM, this
relationship remains complex, and
issues such as the relative importance of
biogenic versus anthropogenic
emissions remain unresolved.
Therefore we believe that the best
approach for States to follow in
considering whether VOC emissions are
precursors to PM2.5 formation is a caseby-case approach. States should
consider, in particular, whether a
source’s VOC emissions are those
higher-carbon VOCs that are more likely
to form secondary organic aerosols. In
addition, given the variable contribution
of a given amount of VOC emissions to
PM2.5 formation, States may also wish to
exercise discretion in considering only
relatively larger VOC sources to be
BART-eligible.
After careful consideration of the
comments, we agree with commenters
who assert that EPA should not suggest
a general distinction between the
relative contributions of urban and rural
VOC emissions to particle formation.
The state of knowledge in this area is
complex and rapidly evolving.
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18 Ibid.
Frm 00012
Monitoring data in the East 19 suggest
that there may be a greater contribution
to particle formation in urban areas from
VOCs as compared to rural areas, but we
recognize that further research is needed
to better determine the extent of the
contribution of specific VOC
compounds to organic PM mass. We do
not agree, however, with commenters
who make the blanket assertion that
rural VOCs are not a significant
contributor to particle formation, as it is
possible that in specific areas, such as
where NOX emissions are high, rural
anthropogenic VOCs could potentially
play a significant role.
Discussion of the Term ‘‘Potential’’
Emissions
Comments. A number of commenters
were critical of the restriction in the
regional haze rule that allows States to
credit federally enforceable limitations
on emissions but not limitations that are
enforceable only by States and local
agencies. These commenters believed
that this restriction had been rejected by
the D.C. Circuit for a number of other
EPA regulations and noted that EPA has
developed policies that currently credit
state-enforceable limits. The comments
recommended that EPA issue guidance
consistent with what commenters
claimed were current policies for other
regulations. In addition, we received
comments arguing that in determining
whether a source is a major stationary
source, the States should consider a
source’s actual—rather than potential—
emissions. These commenters stated
that using a source’s potential emissions
overstates a source’s actual emissions
and impacts on visibility.
Final rule. CAA section 169A(g)(7)
defines a ‘‘major stationary source’’ as a
source with the potential to emit 250
tons or more any pollutant. Based inter
alia on that statutory definition, EPA’s
implementing regulations define BARTeligible sources as those with the
potential to emit 250 tons or more of
any air pollutant. As these definitions
clearly require consideration of a
source’s potential emissions, the
guidelines state that a State should
determine whether a source’s potential
emissions exceed the 250 ton threshold
in determining whether the source is
BART-eligible.
As explained in the 2001 and 2004
proposed guidelines, the regional haze
regulations define ‘‘potential to emit.’’
The guidelines repeat that regulatory
definition and provide an example
illustrating its application. EPA did not
propose to change the definition in 2001
or 2004, but merely highlighted the
19 Ibid.
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current definition in 40 CFR 51.301.
Although we noted in the 2001
proposed guidelines that we expected to
undertake a rulemaking to determine
whether only federally enforceable
limitations should be taken into account
in the regional haze program definition,
we have not yet begun the process for
such a rulemaking. However, we
consider the comments criticizing EPA’s
definition of ‘‘potential to emit’’ as a
request for reconsideration of the
visibility regulations and will take these
requests into account in determining
any future rulemaking efforts to address
the general definition of ‘‘potential to
emit.’’ For the time being, we believe
that States may consider federally
enforceable limits or emissions
limitations in State permits, which are
enforceable under State law, in
determining a source’s ‘‘potential to
emit.’’
Discussion of What Emissions Units
Should Be Considered Part of a
‘‘Stationary Source’’
Comments. A number of comments in
2001 expressed concern with our
statement that a ‘‘support facility’’
should be grouped with a primary
facility in determining which emissions
units belong to the same industrial
grouping. These comments generally
coincided with comments discussed
above that EPA should determine BART
on a plantwide basis, rather than by
aggregating emissions units.
Commenters on the 2004 reproposal
noted with approval the clarification
that ‘‘support facilities’’ should only be
considered BART-eligible if these units
themselves were both constructed
within the 1962–1977 time frame and
fell within one of the listed source
categories.
Two commenters felt that we should
more clearly define the BART-eligible
source, either by identifying emission
units within source categories, or by
somehow accounting for the specific set
of emission units, within the fenceline,
to which controls would logically apply.
Final rule. The guidelines continue to
note that the definition of ‘‘building,
structure or facility’’ in the regional
haze rule is based upon aggregating
emissions units within the same
industrial grouping. This discussion in
the guidelines is consistent with the
language in the definition of ‘‘building,
structure or facility’’ in the regional
haze rule which contains a specific
reference to the 2-digit SIC
classifications. The BART guidelines
refer to this definition and explain how
2-digit SIC codes are used in
determining the scope of BART for a
given plantsite. (In the rare situation
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where industrial groupings in separate
2-digit SIC codes exist at a single plant
site, then there would be more than one
separate ‘‘stationary source’’ present. In
that situation, each ‘‘stationary source’’
should be looked at individually for
purposes of determining BARTeligibility.)
We agree that more clarity is needed
to account for situations where a
specific set of units constitute the
logical set to which BART controls
would apply. The CAA requires BART
at certain major stationary sources.
Accordingly we believe it could be
appropriate, at the BART determination
step, for States to allow sources to
‘‘average’’ emissions across a set of
BART-eligible emission units within a
fenceline, so long as the amount of
emission reductions from each pollutant
being controlled for BART would be at
least equal to those reductions that
would be obtained by simply
controlling each unit. We have added
language to the guidelines to this effect.
Step 4: Identify the Emission Units and
Pollutants That Constitute the BARTEligible Source
Background. The final step in
identifying a ‘‘BART-eligible source’’ is
to use the information from the previous
three steps to identify the universe of
equipment that makes up the BARTeligible source. The 2001 and 2004
proposed BART guidelines stated that if
the emissions from the list of emissions
units at a stationary source exceed a
potential to emit of 250 tons per year for
any individual visibility-impairing
pollutant, then that collection of
emissions units is a BART-eligible
source. The guidelines also stated that a
BART analysis would be required for
each visibility-impairing pollutant
emitted from this collection of
emissions units.
In the 2004 reproposed BART
guidelines, we noted that we believed
that section 169A(b)(2)(A) of the CAA
requires a State to undertake a BART
analysis for ‘‘any’’ visibility-impairing
pollutant emitted by a BART-eligible
source, regardless of the amount
emitted. We proposed, however, to
provide the States with the flexibility to
identify de minimis levels for pollutants
at BART-eligible sources, but limited
that flexibility so that any such de
minimis levels could not be higher than
those used in the PSD program: 40 tons
per year for SO2, NOX, and VOC, and 15
tons per year from PM10. We requested
comment on this provision and on the
use of de minimis values.
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39115
Discussion of Whether To Include All
Emitted Visibility-Impairing Pollutants
in the BART Analysis
Comments. A number of commenters
supported the concept of including all
pollutants in the BART analysis once an
individual pollutant triggers the BART
review. Other commenters, although
supportive of the concept generally,
recommended that we should add the
pollutants together before the
comparison with the threshold.
A number of commenters disagreed
with EPA’s conclusion that the CAA
requires States to make a BART
determination for any visibilityimpairing air pollutant emitted by a
BART eligible source. These
commenters stated that undertaking a
BART analysis for all pollutants emitted
by a major stationary source is an
unnecessary administrative burden with
minimal environmental benefit.
Commenters argued that Congress
intended for BART to apply only to
those pollutants for which a source is
major. Commenters accordingly
recommended that the 250 ton per year
threshold apply to each pollutant
emitted by a source and that BART
apply only to those pollutants which
meet this threshold. A number of these
commenters argued alternatively that
only those pollutants from a source
demonstrated, individually, to cause or
contribute to visibility impairment are
required to go through a BART
determination.
Final rule. We disagree with the
comment that emissions of different
visibility-impairing pollutants must be
added together to determine whether a
source exceeds the 250 ton per year
threshold. The CAA, in section
169A(g)(7), defines a ‘‘major stationary
source’’ as one with the potential to
emit 250 tons or more of ‘‘any
pollutant.’’
We disagree with comments that the
BART analysis is required only for those
pollutants that individually exceed the
250 ton per year threshold. Section
169A(b)(2)(A) specifically requires
States to submit SIPs that include a
requirement that a major stationary
source
which, as determined by the State * * *
emits any air pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of visibility in
any [Class I area], shall procure, install, and
operate * * * the best available retrofit
technology, as determined by the State * * *
for controlling emissions from such source
for the purpose of eliminating or reducing
any such impairment.
The regional haze regulations similarly
require that the States submit a SIP that
contains
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A determination of BART for each BARTeligible source in the State that emits any air
pollutant which may reasonably be
anticipated to cause or contribute to any
impairment of visibility in any mandatory
Class I Federal area.
40 CFR 51.308(e)(1)(ii). Nothing in these
statutory or regulatory requirement
suggests that the BART analysis is
limited to those pollutants for which a
source is considered major. At best,
these provisions can be read as
requiring a BART determination only
for those emissions from a specific
source which do, in fact, cause or
contribute to visibility impairment in a
particular Class I area, or which could
reasonably be anticipated to do so.
Commenters, however, have not
presented any evidence that as a general
matter emissions of less than 250 tons
per year of PM2.5, SO2, or other
visibility-impairing pollutants from
potential BART sources do not ‘‘cause
or contribute to any impairment of
visibility’’ in any of the Class I areas
covered by the regional haze rule. As
there is no such evidence currently
before us, there is no basis to conclude
that the States are required to make
BART determinations only for those
pollutants emitted in excess of 250 tons
per year.
At the same time, we agree with
certain commenters that the CAA does
not require a BART determination for
any visibility impairing pollutant
emitted by a source, regardless of the
amount. After reviewing the language of
the Act and the comments received, we
have concluded that our interpretation
of the relevant language in section
169A(b)(2)(A) of the Act in the 2004
proposed guidelines is not necessarily
the best reading of the BART provisions.
Section 169A(b)(2)(A) of the Act can be
read to require the States to make a
determination as to the appropriate
level of BART controls, if any, for
emissions of any visibility impairing
pollutant from a source. Given the
overall context of this provision,
however, and that the purpose of the
BART provision is to eliminate or
reduce visibility impairment, it is
reasonable to read the statute as
requiring a BART determination only
for those emissions from a source which
are first determined to contribute to
visibility impairment in a Class I area.
The interpretation of the requirements
of the regional haze program reflected in
the discussion above does not
necessitate costly and time-consuming
analyses. Consistent with the CAA and
the implementing regulations, States
can adopt a more streamlined approach
to making BART determinations where
appropriate. Although BART
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determinations are based on the totality
of circumstances in a given situation,
such as the distance of the source from
a Class I area, the type and amount of
pollutant at issue, and the availability
and cost of controls, it is clear that in
some situations, one or more factors will
clearly suggest an outcome. Thus, for
example, a State need not undertake an
exhaustive analysis of a source’s impact
on visibility resulting from relatively
minor emissions of a pollutant where it
is clear that controls would be costly
and any improvements in visibility
resulting from reductions in emissions
of that pollutant would be negligible. In
a scenario, for example, where a source
emits thousands of tons of SO2 but less
than one hundred tons of NOX, the State
could easily conclude that requiring
expensive controls to reduce NOX
would not be appropriate. In another
situation, however, inexpensive NOX
controls might be available and a State
might reasonably conclude that NOX
controls were justified as a means to
improve visibility despite the fact that
the source emits less than one hundred
tons of the pollutant. Moreover, as
discussed below, we are revising the
regional haze regulations to allow the
States to exempt de minimis emissions
of SO2, NOX, and PM2.5 from the BART
determination process which should
help to address the concerns of certain
commenters associated with the burden
of a broad BART analysis.
De minimis levels
Comments. Many commenters agreed
that we should establish de minimis
levels for individual pollutants in order
to allow States and sources to avoid
BART determinations for pollutants
emitted in relatively trivial amounts.
Many commenters suggested that States
would be unlikely to impose emission
limits for pollutants emitted at the
proposed de minimis levels because it
would not be cost-effective to do so and
such emission reductions could not be
expected to produce any perceptible
improvements in visibility. Several
commenters agreed that the pollutant
coverage requirements for BART
eligibility should be consistent with
those for the PSD program, but others
argued that BART should be required
only for pollutants emitted in amounts
greater than 250 tons per year.
Commenters also noted that the
guidelines were not clear as to whether
the de minimis provision would apply
on a plant-wide or unit by unit basis. A
few commenters also noted that the
final guidelines should clarify where in
the BART determination process de
minimis levels may be used.
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Other commenters opposed the use of
de minimis exemptions. These
commenters argued that it would be
unreasonable to rule categorically that a
certain level of emissions had a trivial
impact on visibility without assessing
the impacts of these emissions in
particular circumstances. These
commenters argued that States should
consider the emissions of all visibilityimpairing pollutants in a BART
determination regardless and that,
consequently, there should be no de
minimis levels.
Final rule. As proposed in 2004, we
believe that it is reasonable to give
States the flexibility to establish de
minimis levels so as to allow them to
exempt from the BART determination
process pollutants emitted at very low
levels from BART-eligible sources. As
explained by the D.C. Circuit,
‘‘categorical exemptions from the
requirements of a statute may be
permissible ‘as an exercise of agency
power, inherent in most statutory
schemes, to overlook circumstances that
in context may fairly be considered de
minimis.’ ’’ 20 The ability to create de
minimis exemptions from a statute is a
tool to be used in implementing the
legislative design.21
The intent of Congress in requiring
controls on emissions from certain
major stationary sources was to
eliminate or reduce any anticipated
contribution to visibility impairment
from these sources. This, as section
169A(b)(2)(A) states, is the ‘‘purpose’’ of
BART. In making a determination as to
the appropriate level of controls,
however, the States are required to take
into account not only the visibility
benefits resulting from imposing
controls on these sources but also the
costs of complying with the BART
provision. The BART provision is
accordingly designed to ensure that the
States take into consideration all
emissions of certain stationary sources
in making a BART determination, but
also to provide States with the
flexibility to include the costs and
benefits of controlling these sources in
the calculus of determining the
appropriate level of BART.
We believe it would be permissible
for States to create de minimis levels at
a low level. If a State were to undertake
a BART analysis for emissions of less
than 40 tons of SO2 or NOX or 15 tons
of PM10 from a source, it is unlikely to
result in anything but a trivial
improvement in visibility. This is
20 EDF et al. v. EPA, 82 F.3d 451, 466 (D.C. Cir.
1996) citing Alabama Power v. Costle, 636 F.2d 323
(D.C. Cir. 1979).
21 Id.
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because reducing emissions at these
levels would have little effect on
regional emissions loadings or visibility
impairment. We believe most States
would be unlikely to find that the costs
of controlling a few tons of emissions
were justified. Because the overall
benefits to visibility of requiring BART
determinations for emissions of less
than the de minimis levels would be
trivial, we are amending the regional
haze rule to make clear that the States
have this flexibility.
The de minimis levels discussed
today apply on a plant-wide basis.
Applying de minimis levels on a unit by
unit basis as suggested by certain
commenters could exempt hundreds of
tons of emissions of a visibilityimpairing pollutant from BART
analysis. In at least some of the twentysix source categories covered by the
BART provisions, a single control
device can be used to control emissions
from multiple units. Thus, it is possible
that while emissions from each unit are
relatively trivial, the costs of controlling
emissions from multiple units might be
cost-effective in light of the BARTeligible source’s total emissions of the
pollutant at issue. States should
consider the control options in such
situations and determine the
appropriate approach for the specific
source.
We are revising the regional haze rule
to provide States with the ability to
establish de minimis levels up to the
levels proposed in 2004. We believe
States may, if they choose, exclude from
the BART determination process
potential emissions from a source of less
than forty tons per year of SO2 or NOX,
or 15 tons per year for PM10. (Note also
that for sources that are BART-eligible
for one pollutant, we also believe that
States could allow those sources to
model the visibility impacts of
pollutants at levels between de minimis
and 250 tons in order to show that the
impact is negligible and should be
disregarded. See section D below). In
the guidelines, we include this as part
of the BART determination in section IV
of the guidelines. (We note that these
emission levels represent the maximum
allowable de minimis thresholds—
States retain their discretion to set the
thresholds at lesser amounts of each
pollutant, or to not provide any predetermined de mininis levels.) We
believe that this approach is the clearest
method for exempting trivial emissions
from the BART determination process.
Alternatively, States may find it useful
to exclude de minimis emissions in
identifying whether a source is subject
to BART in section III of the guidelines.
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Either approach is consistent with the
regulation issued in this rule.
D. How To Determine Which BARTeligible Sources Are ‘‘Subject to BART’’
Cause or Contribute
Background. Under section
169A(b)(2)(A) of the Act, each State
must review its BART eligible sources
and determine whether they emit ‘‘any
air pollutant which may reasonably be
anticipated to cause or contribute to any
impairment of visibility in [a Class I]
area.’’ If a source meets this threshold,
the State must then determine what is
BART for that source.
Proposed rule. In the reproposed
guidelines, we identified three options
for States to use in determining which
BART-eligible sources meet the test set
forth in section 169A(b)(2)(A) of the
CAA. To determine whether a BARTeligible source is ‘‘reasonably
anticipated to cause or contribute to
visibility impairment,’’ the first
proposed option was that a State could
choose to consider the collective
contribution of emissions from all
BART-eligible sources and conclude
that all BART-eligible sources within
the State are ‘‘reasonably anticipated to
cause or contribute’’ to some degree of
visibility impairment in a Class I area.
The preamble to the 1999 regional haze
rule explains at length why we believe
that looking to the collective
contribution of many sources over a
broad area is a reasonable approach, and
we explained in the 2004 reproposed
guideline that we believed that a State’s
decision to use a cumulative analysis at
this stage of the BART determination
process would be consistent with the
CAA and the findings of the D.C. Circuit
in American Corn Growers.
The second proposed option was to
allow a State to demonstrate, using a
cumulative approach, that none of its
BART-eligible sources contribute to
visibility impairment. Specifically, we
proposed to provide States with the
option of performing an analysis to
show that the full group of BARTeligible sources in a State cumulatively
do not cause or contribute to visibility
impairment in any Class I areas.
As a third option, we proposed that a
State may choose to determine which
sources are subject to BART based on an
analysis of each BART-eligible source’s
individual contribution. We labeled this
option as an ‘‘Individualized Source
Exemption Process,’’ and proposed that
States use an air quality model to
determine an individual source’s
contribution to visibility impairment,
calculated on a 24 hour basis, using
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39117
allowable emissions, and compared to
an established threshold.
Comments. Several commenters
expressed the view that EPA was
misinterpreting the American Corn
Growers case to allow the States to
apply a collective contribution test in
determining whether BART-eligible
sources are subject to BART. These
commenters took the position that,
because this approach does not allow
for a source to show that it does not
individually cause or contribute to
visibility impairment, it is incompatible
with the language of section
169A(b)(2)(A)of the Act. They argued
that EPA should modify the provisions
in the proposed rule to ensure that an
individual source is afforded the
opportunity to conduct an analysis to
demonstrate that its emissions do not
impair visibility in any Class I area.
Conversely, several commenters
indicated that the option to determine
that all potential BART sources
contribute to regional haze should be
the starting point of determining BART
eligibility.
Many industry commenters and some
States supported the second proposed
option which would allow a State to
demonstrate through an analysis of the
collective contribution of all its BARTeligible sources that none of these
sources contribute to visibility
impairment. Several of these
commenters added, however, that if this
cumulative analysis were to show a
contribution, then, consistent with the
decision in American Corn Growers, the
State must allow each individual source
to demonstrate that its own emissions
do not, by themselves, contribute to the
problem of visibility impairment. One
commenter requested clarification on
what visibility threshold a State should
use in determining that no sources are
reasonably anticipated to cause or
contribute to any impairment in a Class
I area.
A number of commenters supported
the third option for determining BART
applicability based on an analysis of
source-specific effects on visibility.
However, many of the commenters
stated that the CAA requires that the
States either conduct such an analysis
in determining those sources subject to
BART, or allow an individual source to
make a showing that it does not cause
or contribute to visibility impairment. In
addition, although supportive of the
general notion of allowing for an
exemption process for BART-eligible
sources, several commenters stated that
the third option contained burdensome
modeling requirements, and that States
need a more flexible, straightforward,
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and less costly method to make the
‘‘cause or contribute’’ determination.
Several environmental groups
commented that the proposed options
potentially go too far in allowing
sources to be exempted from the BART
requirements. These commenters
asserted that EPA should clarify that
States may not allow a BART-eligible
source to avoid the BART requirements
without an affirmative demonstration by
the State, or by the source, showing that
the source does not emit any air
pollutant which may reasonably be
anticipated to cause or contribute to any
impairment of visibility in a Class I area.
Absent such a demonstration, they
argue, a State may not choose to waive
the requirement to conduct a BART
review of the source.
Final rule. The final BART guidelines
adopt the general approach contained in
the reproposal, providing the States
with several options for identifying the
sources subject to BART. The final
BART guidelines describe the options
contained in the reproposal as well as
one new option. The discussion of
options in the final guidelines are
structured somewhat differently from
the reproposal, and the options are
explained in greater detail. The
guidelines reaffirm that a State may
choose to consider all BART-eligible
sources to be subject to BART, and to
make BART determinations for all its
BART-eligible sources.22 For States that
choose to consider exempting some or
all of their BART-eligible sources from
review, the guidelines then discuss
three options that States may use to
determine whether its sources are
‘‘reasonably anticipated to cause or
contribute’’ to visibility impairment at a
Class I area. Options 1 and 3 are similar
to options in the 2004 reproposal; under
option 1, States may use an individual
source attribution approach, while
option 3 provides the States with an
approach for demonstrating that no
sources in a State should be subject to
BART. Option 2 is new; it is an
approach for using model plants to
exempt individual sources with
common characteristics.
Threshold for visibility impact. One of
the first steps in determining whether
sources cause or contribute to visibility
impairment for purposes of BART is to
establish a threshold (quantified in units
called ‘‘deciviews’’) against which to
measure the visibility impact of one or
more sources. We believe that a single
22 States choosing this approach should use the
data being developed by the regional planning
organizations, or on their own, as part of the
regional haze SIP development process to make the
showing that the State contributes to visibility
impairment in one or more Class I areas.
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source that is responsible for a 1.0
deciview change or more should be
considered to ‘‘cause’’ visibility
impairment; a source that causes less
than a 1.0 deciview change may still
contribute to visibility impairment and
thus be subject to BART.
The guidelines note that because of
varying circumstances affecting
different Class I areas, the appropriate
threshold for determining whether a
source ‘‘contributes to any visibility
impairment’’ for the purposes of BART
may reasonably differ across States.
Although the appropriate threshold may
vary, the Guidelines state that the
contribution threshold used for BART
applicability should not be higher than
0.5 deciviews. We discuss threshold
issues in greater detail in the subsection
immediately following this one, entitled
Metric for Visibility Degradation.
Pollutants
The guidelines direct that States
should look at SO2, NOX, and direct
particulate matter (PM) emissions in
determining whether sources cause or
contribute to visibility impairment,
including both PM10 and PM2.5.
Consistent with the approach for
identifying BART-eligible sources,
States do not need to consider less than
de minimis emissions of these
pollutants from a source.
States may use their best judgement to
determine whether VOC or ammonia
emissions are likely to have an impact
on visibility in an area. In addition, they
may use PM10 or PM2.5 as an indicator
for PM2.5 in determining whether a
source is subject to BART. In
determining whether a source
contributes to visibility impairment,
however, States should distinguish
between the fine and coarse particle
components of direct particulate
emissions. Although both fine and
coarse particulate matter contribute to
visibility impairment, the long-range
transport of fine particles is of particular
concern in the formation of regional
haze. Air quality modeling results used
in the BART determination will provide
a more accurate prediction of a source’s
impact on visibility if the inputs into
the model account for the relative
particle size of any directly emitted
particulate matter (i.e. PM10 vs. PM2.5).
We believe that PM10 is likely to
contribute more to regional haze in arid
areas than humid areas. As the Grand
Canyon Visibility Transport
Commission (GCTVC) recognized,23
States in the arid West, in particular,
23 Grand Canyon Visibility Transport
Commission, Recommendations for Improving
Western Vistas, Report to the U.S. EPA, June 10,
1996.
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will need to take the coarse fraction of
particulate matter into account in
determining whether a source meets the
threshold for BART applicability.
Option 1. We agree with commenters
supporting the use of an individual
source analysis in determining if a
BART-eligible source causes or
contributes to visibility impairment.
Consistent with American Corn
Growers, this option provides a method
for a State to evaluate the visibility
impact from an individual source and
show that the source is not reasonably
anticipated to cause or contribute to
visibility degradation in a Class I area
and thus may be exempt from BART.
(Note also that an individual source
analysis is used to inform the BART
determination). In general, a dispersion
model is used to assess the visibility
impact from a single source, and that
impact is compared to a threshold
which is determined by the State. The
threshold (quantified in deciviews) is
the numerical metric that is used to
define ‘‘cause or contribute’’; if a
source’s impact is below the threshold,
a State may exempt the source from
BART; otherwise the source would be
subject to BART.
We discuss specific issues on the
individualized source attribution
process, including changes since
proposal and issues raised by
commenters, in the subsections
immediately following this one: Metric
for visibility degradation; Use of
CALPUFF for visibility modeling; The
use of natural conditions in determining
visibility impacts for reasonable
progress and comparison to threshold
values; Modeling protocol; and
Alternatives for determining visibility
impacts from individual sources.
Option 2. In the final guideline, we
describe a modified approach, using
model plants based on representative
sources sharing certain characteristics,
that the States may use to simplify the
BART determination process, either to
exempt (individually or as a group)
those small sources that are not
reasonably anticipated to cause or
contribute to visibility impairment, or to
identify those large sources that clearly
should be subject to BART review.
States could use the CALPUFF model,
for example, to estimate levels of
visibility impairment associated with
different combinations of emissions and
distances to the nearest Class I area. In
carrying out this approach, the State
could then reflect groupings of specific
types of sources with important
common characteristics, such as
emissions, stack heights and plume
characteristics, and develop ‘‘composite
model plants.’’ Based on CALPUFF
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analyses of these model plants, a State
may find that certain types of sources
are clearly reasonably anticipated to
cause or contribute to visibility
impairment. Conversely, representative
plant analyses may show that certain
types of sources are not reasonably
anticipated to cause or contribute to
visibility impairment. Based on the
modeling results, a State could exempt
from BART all sources that emit less
than a certain amount per year and that
are located a certain distance from the
nearest Class I area.
Our analyses of visibility impacts
from model plants provide a useful
example of the type of analyses that
might be used to exempt categories of
sources from BART.24 Based on our
model plant analysis, EPA believes that
a State could reasonably choose to
exempt sources that emit less than 500
tons per year of NOX or SO2 (or
combined NOX and SO2), as long as they
are located more than 50 kilometers
from any Class I area; and sources that
emit less than 1000 tons per year of NOX
or SO2 (or combined NOX and SO2) that
are located more than 100 kilometers
from any Class I area.
In our analysis, we developed two
model plants (a EGU and a non-EGU),
with representative plume and stack
characteristics, for use in considering
the visibility impact from emission
sources of different sizes and
compositions at distances of 50, 100 and
200 kilometers from two hypothetical
Class I areas (one in the East and one in
the West). Because the plume and stack
characteristics of these model plants
were developed considering the broad
range of sources within the EGU and
non-EGU categories, they do not
necessarily represent any specific plant.
However, the results of these analyses
may be instructive in the development
of an exemption process for groups of
BART-eligible sources, without
modeling each of these sources
individually.
States may want to conduct their own
model plant analysis that take into
account local, regional, and other
relevant factors (such as meteorology,
sulfur dioxide, nitrogen dioxide, and
ammonia). If so, you may want to
consult your EPA Regional Office to
ensure that any relevant technical issues
are resolved before you conduct your
modeling.
In preparing our hypothetical
examples, we have made a number of
assumptions and exercised certain
modeling choices; some of these have a
tendency to lend conservatism to the
results, overstating the likely impacts,
while others may understate the
modeling results. On balance, when all
of these factors are considered, we
believe that our examples reflect
realistic treatments of the situations
being modeled.25 A summary of the
more significant elements and their
implications is provided below.
24 Supplement to CALPUFF Analysis in Support
of the June 2005 Changes to the Regional Haze Rule,
U.S. Environmental Protection Agency, June 15,
2005, Docket No. OAR–2002–0076.
25 CALPUFF Analysis in Support of the June 2005
Changes to the Regional Haze Rule, U.S.
Environmental Protection Agency, June 15, 2005,
Docket No. OAR–2002–0076.
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Features of the modeling examples
which may understate visibility impacts
• An annual emission rate was used
for the example modeling (e.g. 10,000
TPY divided by 365 days divided by 24
hours). ‘‘Real world’’ sources have
variable emission rates, and in any 24
hour period may be operating well
above the annual rate.
• The monthly average relative
humidity was used, rather than the
daily average humidity, and would
contribute to lowering the peak values
in daily model averages.
• A 24-hour average was calculated
from modeled hourly visibility impacts,
reducing the impact of any one
particular hour that could be higher due
to a number of meteorological effects.
Features of the modeling examples
which may overstate visibility impacts
• We located receptors using a grid of
concentric circles for distances of 50,
100 and 200 km. A receptor was placed
every 10 degrees around each circle, and
highest impacts were reported
regardless of direction from the source.
In actuality, receptors would be located
only in the Class I area, or in only one
direction from the source.
• We used simplified chemistry (i.e.
for conversion of SO2 and NOX to fine
particles) and disperson techniques
which tend to overstate model impacts.
Special care should be used to ensure
that the criteria used in the modeling
are appropriate for a given State. Our
modeling may not be appropriate for
every region of the country, due to the
unique characteristics of different Class
I areas and varying meteorological and
geographical conditions in different
regions. In addition, States may want to
design their own model plants taking
into account the types of sources at
issue in their region.
Option 3. Under the BART guidelines,
a State may consider exempting all its
BART-eligible sources from BART by
conducting analyses that show that all
of the emissions from BART-eligible
sources in their State, taken together, are
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39119
not reasonably anticipated to cause or
contribute visibility impairment. To
make such a showing, a State could use
CALPUFF or another appropriate
dispersion model to evaluate the
impacts of individual sources on
downwind Class I areas, aggregating
those impacts to determine the
collective contribution from all-BART
eligible sources in the State. A State
with a sufficiently large number of
BART-eligible sources could also make
such a showing using a photochemical
grid model.26
We agree with commenters who
pointed out that the option of allowing
a State to demonstrate that the full
group of BART-eligible sources in the
State do not contribute to visibility
impairment would, by default, satisfy an
individual source contribution
assessment. Commenters have not
shown any reason to believe that if the
sum total of emissions from the BARTeligible sources in a State do not ‘‘cause
or contribute’’ to visibility impairment
in any Class I area, that emissions from
one such source will meet the threshold
for BART applicability. A State
following this approach accordingly
need not undertake an affirmative
demonstration based on a source by
source analysis of visibility impacts to
find that its sources are not subject to
BART.
Metric for Visibility Degradation
Background. The 2004 reproposed
guidelines contained a proposed
threshold for the States to use in
determining whether an individual
source could be considered to cause
visibility impairment in a Class I area.
We proposed a 0.5 deciview change
relative to natural background
conditions,27 as a numerical threshold
for making this determination.28
26 For regional haze applications, regional scale
modeling typically involves use of a photochemical
grid model that is capable of simulating aerosol
chemistry, transport, and deposition of airborne
pollutants, including particulate matter and ozone.
Regional scale air quality models are generally
applied for geographic scales ranging from a multistate to the continental scale. Because of the design
and intended applications of grid models, they may
not be appropriate for BART assessments, so States
should consult with the appropriate EPA Regional
Office prior to carrying out any such modeling.
27 Guidance for Estimating Natural Visibility
Conditions Under the Regional Haze Rule, (U.S.
Environmental Protection Agency, September 2003.
https://www.epa.gov/ttncaaa1/t1/memoranda/
rh_envcurhr_gd.pdf. Natural background
conditions, expressed in deciviews, are defined for
each Class I area. EPA has issued guidance for
estimating natural background conditions which
has estimates of default conditions as well as
measures to develop refined estimates of natural
conditions.
28 In the proposal we noted that a 0.5 deciview
change in visibility is linked to ‘‘perceptibility,’’ or
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We proposed the CALPUFF model as
the preferred approach for predicting
whether a single source caused visibility
impairment if the modeled results
showed impacts from the source that
exceeded the threshold on any given
day during a five-year period. We also
proposed that if a source had an
estimated impact on visibility of less
than 0.5 deciviews, a State could choose
to exempt the source from further BART
analysis.
Comments. We received numerous
comments supporting the proposed
threshold. A number of commenters
stated that the 0.5 deciview threshold is
appropriate given the low triggering
threshold for applicability established
by Congress, and that the literature
supports it as the minimum level of
perceptibility. Some commenters cited
published documentation supporting
their assertions that a minimum change
in deciviews necessary for perceptibility
is 0.5 deciviews.29
Other commenters criticized the
threshold as too low. They stated that a
change of 0.5 deciviews is inconsistent
with language in the regional haze rule
pointing to 1.0 deciview as the
appropriate perceptibility threshold,
and they cited more recent literature
justifying perceptibility as greater than a
change of 1 deciview.30
One commenter said that we should
allow States and regional planning
organizations (RPOs) the flexibility to
determine appropriate visibility-impact
thresholds in light of current knowledge
about a range of perceptibility
thresholds. Another commenter said
that we should explain our basis for
establishing a threshold of a one-time
impact of greater than 0.5 deciviews, in
light of the overall goal of the regional
haze program. Yet another commenter
said that the proposal would ‘‘change
the regulatory role of the deciview
metric by converting it into a regulatory
0.5 deciview standard (versus a ‘goal’)
for defining how States must exercise
their authority and discretion in
determining whether an individual
source ‘causes or contributes’ to
visibility impairment in a Class I area.’’
a just noticeable change in most landscapes.
National Acid Precipitation Assessment Program
(NAPAP), Acid Deposition: State of Science and
Technology Report 24, Visibility: Existing and
Historical Conditions—Causes and Effects
(Washington, DC, 1991) Appendix D at 24–D2
(‘‘changes in light extinction of 5 percent will evoke
a just noticeable change in most landscapes’’).
Converting a 5 percent change in light extinction to
a change in deciviews yields a change of
approximately 0.5 deciviews.
29 Ibid.
30 Henry, R.C., Just-Noticeable Differences in
Atmospheric Haze, Journal of the Air & Waste
Management Association, 52:1238–1243, October
2002.
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Several commenters said that the 0.5
deciview threshold is too high. A
recurring comment was that the
statutory BART applicability test from
CAA Section 169A(b)(2)(A) contains
two separate elements: ‘‘causation’’ of
any visibility impairment and
‘‘contribution’’ to any such impairment.
Commenters pointed out that by setting
a threshold of 0.5 deciviews, we had
combined ‘‘cause or contribute’’ into a
single test of causality, thus effectively
eliminating the ‘‘contribution’’ element
of the BART applicability test. The
commenters asserted that a single
BART-eligible source can ‘‘contribute’’
to visibility impairment with impacts
much lower than 0.5 deciviews. They
argued that we must set the minimum
threshold for individual source
contribution to visibility impairment at
the lowest level detectable by modeling
or other appropriate analysis, and that
this minimum individual contribution
level must in any event be set at no
greater than a 0.1 deciview change
relative to natural conditions, which is
a clearly measurable level. One
commenter suggested that a cause or
contribute threshold be set at some
percentage of the ‘‘just noticeable’’
change of 0.5 deciviews.
Another commenter said that in a case
where multiple sources each have a
visibility impact of less than a 0.5
deciview change, but together result in
a change of more than 0.5 deciview,
each of these sources contributes to the
resulting visibility impairment. This
commenter asserted that BART
guidelines that result in exemptions for
these ‘‘contributing’’ sources would
subvert the goals of the regional haze
program.
Similarly, several commenters
suggested that if any combination of
BART eligible sources causes visibility
impairment in a Class I area of more
than 0.5 deciviews (by CALPUFF
modeling for any 24-hour period, for
example), that State should determine
that each individual source is subject to
BART. Thus, the commenter added, the
court’s concern about the lack of
‘‘empirical evidence of a source’s
contribution to visibility impairment’’
would be addressed.
Two commenters said that our
requirement to use the maximum 24hour value over the 5-year period of
meteorological data in the modeling, as
proposed, is too stringent, unreasonable,
inappropriate, and departs from the
previous methodologies for the regional
haze program. Additionally they said
that the threshold is restrictive because
the single highest 24-hour modeled
impact over a three- or five-year period
may be influenced by short-term
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weather conditions, like high humidity,
and the BART applicability
determination should not be made
based on a one-time occurrence.
One commenter said that whatever
the final threshold for a single-source
impact for BART sources, EPA should
clarify that the purpose of this modeling
assessment is to evaluate a source’s
anticipated contribution to uniform
regional haze over the Class I area. EPA
should state that the assumption of a
uniform haze contribution based on
CALPUFF modeling eliminates the need
to assess issues related to the size of the
Class I area, views within a Class I area,
and weather impact interactions.
Finally, one commenter said that
thresholds should be established
separately for the eastern and western
regions of the United States, as natural
visibility conditions are established
separately for eastern and western
regions in the guidance.
Final Rule. Today’s guidelines advise
States to use a deciview metric in
defining ‘‘cause or contribute,’’ as
explained further below. The fact that
the deciview is also used to track
progress toward the goal of natural
visibility does not in any way indicate
that we are ‘‘converting’’ a ‘‘goal’’ into
a requirement.31 Use of the same metric
in the ‘‘cause or contribute’’ context as
used for establishing reasonable
progress goals, tracking changes in
visibility conditions, and defining
baseline, current, and natural conditions
simply provides for a consistent
approach to quantifying visibility
impairment.
In response to commenters who said
we conflated the ‘‘cause or contribute’’
test, we are clarifying that for purposes
of determining which sources are
subject to BART, States should consider
a 1.0 deciview change or more from an
individual source to ‘‘cause’’ visibility
impairment, and a change of 0.5
deciviews to ‘‘contribute’’ to
impairment.32
In a regulatory context, we believe
that a State’s decision as to an
31 Moreover, the fact that the ultimate purpose of
the visibility provisions is expressed as a ‘‘goal’’
does not mean that all aspects of the program are
merely aspirational. CAA section 169A(a)(4)
requires EPA to establish regulations to ensure that
reasonable progress is made toward the national
visibility goal, and 169A(b)(2) provides that EPA
must require SIPs to contain emission limits,
schedules of compliance, and other measures as
may be necessary to make reasonable progress
towards meeting the goal.
32 If ‘‘causing’’ visibility impairment means
causing a humanly perceptible change in visibility
in virtually all situations (i.e. a 1.0 deciview
change), then ‘‘contributing’’ to visibility
impairment must mean having some lesser impact
on the conditions affecting visibility that need not
rise to the level of human perception.
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appropriate threshold for contribution
could depend upon the number of
sources affecting a class I area. To
illustrate, if there were only one
emissions source affecting visibility in a
class I area, that source could have a
deciview impact only slightly below the
perceptibility threshold without
contributing to noticeable impairment.
However, if there were 100 sources each
changing visibility by 0.1 deciviews, the
total impact would be a 10-deciview
change in visibility. In this hypothetical
example, all 100 sources would be
contributing, in equal amounts, to
substantial visibility impairment.
Because circumstances will vary in
different locations, we believe that
States should have discretion to set an
appropriate threshold depending on the
facts of the situation. We believe,
however, that it would be difficult for a
State to justify a threshold higher than
0.5 deciviews. In particular, 0.5
deciviews represents one half of the 1.0
deciview level that we are equating with
a single source ‘‘causing’’ visibility
degradation. Typically, there are
multiple sources that affect visibility in
class I areas, so a source causing a 0.5
deciview change can be expected to be
contributing to noticeable visibility
impairment.
In determining whether the maximum
threshold of 0.5 deciviews or a lower
threshold is appropriate for purposes of
BART, we believe that States should
consider the number of emissions
sources affecting the class I area and the
magnitude of the individual sources’
impacts.33 In general, a larger number of
sources causing impacts in a class I area
may warrant a lower contribution
threshold. In selecting a threshold,
States may want to take into account the
fact that individual sources have
varying amounts of impact on visibility
in class I areas. Depending on the facts
regarding the number of sources
affecting a class I area and their
modeled impacts, the State could set a
threshold that captures those sources
responsible for most of the total
visibility impacts, while still excluding
other sources with very small impacts.34
33 All states are working together in regional
planning organizations, and we expect that states
will have modeling information that identifies
sources affecting visibility in individual class I
areas, and the magnitude of their impacts.
34 Under our guidelines, the contribution
threshold should be used to determine whether an
individual source is reasonably anticipated to
contribute to visibility impairment. You should not
aggregate the visibility effects of multiple sources
and compare their collective effects against your
contribution threshold because this would
inappropriately create a ‘‘contribution to
contribution’’ test.
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We also note that under this guidance,
States would have discretion in setting
the threshold for ‘‘contributes to’’ based
on modeled impacts of sources.
Consistent with American Corn
Growers, we are not requiring States to
find sources subject to BART regardless
of their impact on Class I areas. We are
suggesting that, in establishing a
threshold for assessing contribution for
BART, it may be logical to draw a line
between ‘‘contribution’’ and ‘‘noncontribution’’ based on the number and
magnitude of the various sources
affecting the Class I areas at issue. Such
an approach gives States the ability to
assess the empirical evidence showing
contribution and to design an
appropriate regulatory regime in light of
the nature of the problem. We note that
for 750 MW power plants, such a line
drawing exercise is likely to be
unnecessary, as such sources will in
most or all cases have impacts far
exceeding 1.0 deciviews.
Finally, we disagree that separate
threshold levels should be established
based on geography because a unit
change in visibility expressed in
deciviews, perceived or measured, is the
same regardless of geography. As
explained in the 1999 regional haze
rule, the deciview can be used to
express changes in visibility impairment
in a way that corresponds to human
perception in a linear manner. As a
result, using the deciview as the metric
for measuring visibility means, for
example, that a one deciview change in
a highly impaired environment would
be perceived as roughly the same degree
of change as one deciview in a relatively
clear environment, and geography is not
a factor.
Interpretation of CALPUFF Results
The standard CALPUFF modeling run
provides day-by-day estimates of a
source’s visibility effects over a five-year
period. In the proposed BART
guideline, we indicated that if the
maximum daily visibility value at any
receptor over the five years modeled is
greater than the ‘‘cause or contribute’’
threshold, then the State should
conclude that the source is subject to
BART. A number of commenters took
issue with our proposal to use the 24hour maximum modeled visibility
impact over five years of meteorological
data. Several of them pointed out, for
example, that the maximum modeled
24-hour impact may be an outlier
unduly influenced by weather. We agree
that the maximum modeled effect in a
five-year period could be the result of
unusual meteorology. We also recognize
that, although CALPUFF is the best
currently available tool for analyzing the
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39121
visibility effects of individual sources, it
is a model that includes certain
assumptions and uncertainties. Thus,
we agree with commenters that a State
should not necessarily rely on the
maximum modeled impact in
determining whether a source may
reasonably be anticipated to contribute
to visibility impairment in a Class I area.
The final guideline states that it
would be reasonable for States to
compare the 98th percentile of
CALPUFF modeling results against the
‘‘contribution’’ threshold established by
the State for purposes of determining
BART applicability. Some stakeholders
have argued for the 90th percentile
value, or even lower, contending that
EPA should not use extreme cases to
make BART applicability decisions.
EPA agrees that, in most cases,
important public policy decisions
should not be based on the extreme tails
of a distribution. We have concluded,
however, that the 98th percentile is
appropriate in this case.
The use of 90th percentile value
would effectively allow visibility effects
that are predicted to occur at the level
of the threshold (or higher) on 36 or 37
days a year. We do not believe that such
an approach would be consistent with
the language of the statute. Second, we
note that the 98th percentile value
would only be used to determine
whether a particular BART-eligible
source would be subject to further
review by the State. In determining
what, if any, emission controls should
be required, the State will have the
opportunity to consider the frequency,
duration, and intensity of a source’s
predicted effect on visibility.
On the other hand, there are other
features of our recommended modeling
approach that are likely to overstate the
actual visibility effects of an individual
source. Most important, the simplified
chemistry in the model tends to magnify
the actual visibility effects of that
source. Because of these features and
the uncertainties associated with the
model, we believe it is appropriate to
use the 98th percentile—a more robust
approach that does not give undue
weight to the extreme tail of the
distribution. The use of the 98th
percentile of modeled visibility values
would appear to exclude roughly 7 days
per year from consideration. In our
judgment, this approach will effectively
capture the sources that contribute to
visibility impairment in a Class I area,
while minimizing the likelihood that
the highest modeled visibility impacts
might be caused by unusual
meteorology or conservative
assumptions in the model.
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Use of CALPUFF for Visibility Modeling
Background. In providing the States
with the option of making a
determination as to which sources are
subject to BART based on a
consideration of each source’s
individual contribution to visibility
impairment, we proposed that States
use an air quality model such as
CALPUFF. We also proposed that States
use a CALPUFF or other EPA approved
model in the BART analysis itself. The
CALPUFF system, as explained in the
2004 reproposed guideline, consists of a
diagnostic meteorological model, a
gaussian puff dispersion model with
algorithms for chemical transformation
and complex terrain, and a post
processor for calculating concentration
fields and visibility impacts.
The regional haze rule addresses
visibility impairment caused by
emissions of fine particles and their
precursors. As fine particle precursors,
such as SO2 or NOX, are dispersed, they
react in the atmosphere with other
pollutants to form visibility-impairing
pollutants. In fact, Congress implicitly
recognized in 1977 the role of chemical
transformation in creating visibility
impairment, when it stated that the
‘‘visibility problem is caused primarily
by emissions of SO2, [NOX], and
particulate matter.’’ 35 In most cases, to
predict the impacts of a source’s specific
contribution to visibility impairment, a
State will need a tool that takes into
account not only the transport and
diffusion of directly emitted PM2.5 but
also one that can address chemical
transformation.
Because the air quality model
CALPUFF is currently the best
application available to predict the
impacts of a single source on visibility
in a Class I area, we proposed that a
CALPUFF assessment be used as the
preferred approach first, for determining
whether an individual source is subject
to BART, and second, in the BART
determination process. The CALPUFF
assessment is specific to each source,
taking into account the individual
source’s emission characteristics,
location, and the particular
meteorological, topographical, and
climatological conditions of the area in
which the source is located, any of
which may have an impact on the
transport of PM2.5 and its precursors.
CALPUFF can be used to estimate not
only the effects of directly emitted PM2.5
emissions from a source, but also to
predict the visibility impacts from the
transport and chemical transformation
of fine particle precursors.
35 H.R.
Rep. No. 95–294 at 204 (1077).
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The CALPUFF model is generally
intended for use on scales from 50 km
to several hundred kilometers from a
source. As a general matter, States will
typically need to assess the impacts of
potential BART sources on Class I areas
located more than 50 km from the
source.36 However, in situations where
the State is assessing visibility impacts
for source-receptor distances less than
50 km, we proposed that States use their
discretion in determining visibility
impacts, giving consideration to both
CALPUFF and other EPA-approved
methods. As an example, we suggested
that States could use an appropriate
local-scale plume impact model, such as
PLUVUEII,37 to determine whether a
source’s emissions are below a level that
would be reasonably anticipated to
cause or contribute to visibility
impairment in any Class I area.
Comments. A number of States,
environmental groups, and some
industry commenters strongly
supported the use of CALPUFF as
proposed. Many commenters supported
the use of CALPUFF but indicated that
States must have the flexibility to use
additional tools for their individual
source analyses. Some suggested
options for the ‘‘cause or contribute’’
determination were the use of
photochemical grid models, or more
simplified, non-modeling approaches.
Commenters claimed that States must
have the option to incorporate advances
in science and technologies into models
or other applications that may produce
more accurate simulations of
meteorology, chemistry, and visibility
impairment. Other industry groups and
States argued that CALPUFF has
significant limitations, especially
simulating complex atmospheric
chemistry, and that EPA’s
recommendation of CALPUFF as the
preferred approach is therefore
inappropriate.
Another issue raised by commenters
was the use of CALPUFF for estimating
36 To determine whether a BART-eligible source
‘‘may reasonably be anticipated to cause or
contribute to any visibility impairment in any Class
I area,’’ it may not always be sufficient for the State
to predict the impacts of a BART-eligible source
only on the nearest Class I area (or on the nearest
receptor in the nearest Class I area). The particular
meteorological and topographical conditions, for
example, could mean that a source’s greatest
impacts occurred at a Class I area other than the
nearest one.
37 PLUVUEII is a model used for estimating visual
range reduction and atmospheric discoloration
caused by plumes resulting from the emissions of
particles, nitrogen oxides, and sulfur oxides from a
single source. The model predicts the transport,
dispersion, chemical reactions, optical effects and
surface deposition of point or area source
emissions. It is available at https://www.epa.gov/
scram001/tt22.htm#pluvue.
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secondary particulate matter formation.
Commenters recognized that CALPUFF
was incorporated into the ‘‘Guideline on
Air Quality Models’’ at 40 CFR part 51,
appendix W in April 2003 as the
preferred model for Prevention of
Significant Deterioration (PSD)
increment and National Ambient Air
Quality Standards (NAAQS) compliance
assessments of long range transport of
primary emissions of SO2 and PM2.5.
However, commenters stated that
CALPUFF has not been incorporated
into the Guideline on Air Quality
Models for predicting the secondary
formation of PM. The commenters
remarked that EPA guidance indicates
that photochemical grid models be used
to simulate secondary PM formation and
concluded on this basis that the
application of CALPUFF as we
proposed is in conflict with our
guidance.
Final rule. We believe that CALPUFF
is an appropriate application for States
to use for the particular purposes of this
rule, to determine if an individual
source is reasonably anticipated to
cause or contribute to impairment of
visibility in Class I areas, and to predict
the degree of visibility improvement
which could reasonably be anticipated
to result from the use of retrofit
technology at an individual source. We
encourage States to use it for these
purposes.38
CALPUFF is the best modeling
application available for predicting a
single source’s contribution to visibility
impairment. It is the only EPA-approved
model for use in estimating single
source pollutant concentrations
resulting from the long range transport
of primary pollutants. In addition, it can
also be used for some purposes, such as
the visibility assessments addressed in
today’s rule, to account for the chemical
transformation of SO2 and NOX. As
explained above, simulating the effect of
precursor pollutant emissions on PM2.5
concentrations requires air quality
modeling that not only addresses
transport and diffusion, but also
chemical transformations. CALPUFF
incorporates algorithms for predicting
both. At a minimum, CALPUFF can be
used to estimate the relative impacts of
BART-eligible sources. We are confident
that CALPUFF distinguishes,
comparatively, the relative
contributions from sources such that the
differences in source configurations,
sizes, emission rates, and visibility
impacts are well-reflected in the model
results. States can make judgements
38 The model code and its documentation are
available at no cost for download from https://
www.epa.gov/scram001/tt22.htm#calpuff.
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concerning the conservativeness or
overestimation, if any, of the results. In
fact, although we focused on the use of
CALPUFF for primary pollutants in
revising the Guideline of Air Quality
Modeling, section 7.2.1.e. of the
Guideline states:
e. CALPUFF (Section A.3) may be applied
when assessment is needed of reasonably
attributable haze impairment or atmospheric
deposition due to one or a small group of
sources. This situation may involve more
sources and larger modeling domains than
that to which VISCREEN ideally may be
applied. The procedures and analyses should
be determined in consultation with the
appropriate reviewing authority (paragraph
3.0(b) and the affected FLM(s).
We believe that our proposed use of
CALPUFF is thus fully in keeping with
the Guideline on Air Quality Models,
especially in light of the low triggering
threshold for determining whether a
source is reasonably anticipated to
cause or contribute to visibility
impairment in a Class I area, and the
fact that the modeling results are used
as only one of five statutory criteria
evaluated to determine BART emission
limits.
Even so, as commenters point out,
CALPUFF has not yet been fully
evaluated for secondary pollutant
formation. For the specific purposes of
the regional haze rule’s BART
provisions, however, we have
concluded that CALPUFF is sufficiently
reliable to inform the decision making
process.
EPA revised the Guideline on Air
Quality Models in 2003, in part, to add
CALPUFF to the list of approved models
for particular uses. At that time, we
considered comments that CALPUFF
should be approved for use in
predicting the impact of secondary
emissions on particulate matter
concentrations. As we stated in the
revision, CALPUFF represents a
substantial improvement in methods for
assessing long-range transport of air
pollutants. However, as explained in the
response to comments for that
rulemaking, the modeling results in the
context of a PSD review may be used as
the sole determining factor in denying a
source a permit to construct.39 Although
its use in simulating long-range
transport is beneficial, given the
significance of the modeling results in
assessing increment consumption due to
a single source’s impacts, we made a
determination that it would not be
39 Under CAA section 165(a), a major emitting
facility may not be constructed unless the owner or
operator of the facility demonstrates that the
emissions from the facility will not cause or
contribute air pollution in excess of an increment
or NAAQS.
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appropriate in the rulemaking revising
Appendix W to approve CALPUFF for
use in modeling secondary emissions.
In contrast to the significance of the
modeling results in the PSD context, the
use of CALPUFF in the context of the
regional haze rule is not determinative
of a source’s ability to construct or
operate. A State may use CALPUFF to
determine whether a source can
reasonably be anticipated to cause or
contribute to visibility impairment and
so should be subject to additional
review to determine if the source should
be subject to control.
Based on our analysis of the power
plants covered by the guidelines, we
believe that all but a handful of these
plants have impacts of greater than 1.0
deciview on one or more Class I areas.40
In fact, we anticipate that most of these
plants are predicted to have much
higher maximum impacts.41 Because of
the scale of the predicted impacts from
these sources, CALPUFF is an
appropriate or a reasonable application
to determine whether such a facility can
reasonably be anticipated to cause or
contribute to any impairment of
visibility. In other words, to find that a
source with a predicted maximum
impact greater than 2 or 3 deciviews
meets the contribution threshold
adopted by the States does not require
the degree of certainty in the results of
the model that might be required for
other regulatory purposes.
In the unlikely case that a State were
to find that a 750 MW power plant’s
predicted contribution to visibility
impairment is within a very narrow
range between exemption from or being
subject to BART, the State can work
with EPA and the FLM to evaluate the
CALPUFF results in combination with
information derived from other
appropriate techniques for estimating
visibility impacts to inform the BART
applicability determination. Similarly
for other types of BART eligible sources,
States can work with the EPA and FLM
to determine appropriate methods for
assessing a single source’s impacts on
visibility.
As discussed in section E. below we
also recommend that the States use
CALPUFF as a screening application in
estimating the degree of visibility
improvement that may reasonably be
expected from controlling a single
source in order to inform the BART
determination. As we noted in 2004,
this estimate of visibility improvement
does not by itself dictate the level of
40 CALPUFF Analysis in Support of the Regional
Haze Rule, U.S. Environmental Protection Agency,
April 15, 2005, Docket No. OAR–2002–0076.
41 Ibid.
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39123
control a State would impose on a
source; ‘‘the degree of improvement in
visibility which may reasonably be
anticipated to result from the use of
[BART]’’ is only one of five criteria that
the State must consider together in
making a BART determination. The
State makes a BART determination
based on the estimates available for each
criterion, and as the CAA does not
specify how the State should take these
factors into account, the States are free
to determine the weight and
significance to be assigned to each
factor. CALPUFF accordingly is an
appropriate application for use in
combination with an analysis of the
other statutory factors, to inform
decisions related to BART.
We understand the concerns of
commenters that the chemistry modules
of the CALPUFF model are less
advanced than some of the more recent
atmospheric chemistry simulations. To
date, no other modeling applications
with updated chemistry have been
approved by EPA to estimate single
source pollutant concentrations from
long range transport. In its next review
of the Guideline on Air Quality Models,
EPA will evaluate these and other newer
approaches and determine whether they
are sufficiently documented, technically
valid, and reliable to approve for general
use. In the meantime, as the Guideline
makes clear, States are free to make their
own judgements about which of these or
other alternative approaches are valid
and appropriate for their intended
applications.
Theoretically, the CALPUFF
chemistry simulations, in total, may
lead to model predictions that are
generally overestimated at distances
downwind of 200 km. Again, States can
make judgements concerning the
conservativeness or overestimation, if
any, of the results.
The use of other models and
techniques to estimate if a source causes
or contributes to visibility impairment
may be considered by the State, and the
BART guidelines preserve a State’s
ability to use other models. Regional
scale photochemical grid models may
have merit, but such models have been
designed to assess cumulative impacts,
not impacts from individual sources.
Such models are very resource intensive
and time consuming relative to
CALPUFF, but States may consider their
use for SIP development in the future as
they are adapted and demonstrated to be
appropriate for single source
applications. However, to date, regional
models have not been evaluated for
single source applications. Their use
may be more appropriate in the
cumulative modeling options discussed
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conditions’’ cannot be verified, do not
account for manmade emissions from
other countries, and are not a realistic
target for improvement. Further, they
argued that natural conditions are a
‘‘goal’’ representing a benchmark that is
relevant to the States’ determination,
under the regional haze program, of the
level of ‘‘reasonable progress’’ to
achieve; however they stated that there
is no legal requirement (and there could
not be a legal requirement) that the
The Use of Natural Conditions in
natural conditions goal ultimately must
Determining Visibility Impacts for
be achieved. Several commenters added
Reasonable Progress and Comparison to
that current visibility conditions make
Threshold Values
more sense as a baseline because
Background. As set out in section
sources that are subject to BART today
169A(a) of the CAA and stated in the
will likely not be in operation in the
1999 regional haze rule, a return to
2064 time frame. A commenter added
natural visibility conditions, or the
that using current visibility conditions
visibility conditions that would be
for the analysis will give a more
experienced in the absence of humanrealistic, real-world prediction of
caused impairment, is the ultimate goal
whether controlling the source pursuant
of the regional haze program. To
to BART will actually improve
measure progress toward this goal, the
visibility. The commenter said that
regional haze rule requires that a
Congress did not intend for sources to
comparison with natural conditions for
have to consider retrofitting controls
the 20 percent best and worst days to
under the BART provision if those
calculate ‘‘reasonable progress’’
sources currently are not impacting realdeterminations. Default values for
world visibility. Other utility groups
natural visibility conditions are
stated that in addition to international
provided in EPA guidance.43 In the 2004 emissions, the estimated natural
reproposal of the BART guidelines, we
visibility conditions failed to account
proposed that changes in visibility,
for natural phenomena such as sea salt,
expressed in deciviews, should be
wildfires, and natural organics. One
determined by comparing the impact
commenter noted that natural visibility
from a single source to natural visibility estimates will be revised and refined
over time and it would be unwise to
conditions. That impact should then be
compare impacts and improvements to
compared to a threshold impact, also
a moving baseline.
expressed in deciviews, to assess if a
On the other hand, numerous
BART-eligible source should be subject
commenters supported the use of
to a BART review.
natural visibility conditions as a
Comments. Opposing commenters
baseline for measuring visibility
said that a return to natural conditions
improvements. Several environmental
is unattainable as it would require the
groups said that any increase in the
elimination of every manmade source,
baseline beyond natural visibility
and that changes should be compared
conditions will unlawfully distort and
against currently existing conditions.
weaken the BART requirement by
They added that true ‘‘natural
effectively raising the applicability
42 For regional haze applications, regional scale
threshold in less protected, highly
modeling typically involves use of a photochemical
polluted areas, which would be
grid model that is capable of simulating aerosol
illogical. Further, they pointed out that
chemistry, transport, and deposition of airborne
these BART-eligible sources clearly are
pollutants, including particulate matter and ozone.
contributing to the very manmade
Regional scale air quality models are generally
applied for geographic scales ranging from a multivisibility impairment that the Act is
state to the continental scale. Because of the design
explicitly designed to remedy by a
and intended applications of grid models, they may
return to natural conditions. They
not be appropriate for BART assessments, so States
added that measuring natural conditions
should consult with the appropriate EPA Regional
Office prior to carrying out any such modeling.
as opposed to some other baseline
43 Guidance for Estimating Natural Visibility
condition is a more appropriate
Conditions Under the Regional Haze Rule, U.S.
approach, given that the planning goal
Environmental Protection Agency, September 2003.
is to achieve natural visibility by the
https://www.epa.gov/ttncaaa1/t1/memoranda/
end of the program. They also added
rh_envcurhr_gd.pdf. Natural background
conditions, expressed in deciviews, are defined for
that a baseline other than natural
each Class I area. EPA has issued guidance for
conditions would never assure
estimating natural background conditions which
‘‘reasonable progress’’.
has estimates of default conditions as well as
Finally, two commenters asked for
measures to develop refined estimates of natural
conditions.
clarification on the values for natural
above.42 In evaluating visibility
improvement as one of the five factors
to consider in setting BART controls,
other models, used in combination with
CALPUFF may be helpful in providing
a relative sense of the source’s visibility
impact and can aid in informing the
BART decision. A discussion of the use
of alternative models is given in the
Guideline on Air Quality in appendix
W, section 3.2.
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conditions to be used for estimating
changes in visibility. The commenters
appeared to assume that we intended for
the comparison to be done for natural
visibility conditions on the 20 percent
best days.
Final Rule. We disagree with
commenters saying that the use of
natural conditions as the baseline for
making visibility impact determinations
is inappropriate. The visibility goal of
the CAA is both the remedying of
existing impairment, and prevention of
future impairment. The court, in
American Corn Growers, upheld our
interpretation of that goal as the return
to natural visibility conditions.44 Longterm regional haze strategies are
developed to make ‘‘reasonable
progress’’ towards the CAA goal, and
States must demonstrate reasonable
progress in their regional haze State
implementation plans (SIPs). Since the
BART program is one component of that
demonstration, visibility changes due to
BART are appropriately measured
against the target of natural conditions.
In establishing the goal of natural
conditions, Congress made BART
applicable to sources which ‘‘may be
reasonably anticipated to cause or
contribute to any impairment of
visibility at any Class I area’’. Using
existing conditions as the baseline for
single source visibility impact
determinations would create the
following paradox: the dirtier the
existing air, the less likely it would be
that any control is required. This is true
because of the nonlinear nature of
visibility impairment. In other words, as
a Class I area becomes more polluted,
any individual source’s contribution to
changes in impairment becomes
geometrically less. Therefore the more
polluted the Class I area would become,
the less control would seem to be
needed from an individual source. We
agree that this kind of calculation would
essentially raise the ‘‘cause or
contribute’’ applicability threshold to a
level that would never allow enough
emission control to significantly
improve visibility. Such a reading
would render the visibility provisions
meaningless, as EPA and the States
would be prevented from assuring
‘‘reasonable progress’’ and fulfilling the
statutorily-defined goals of the visibility
program. Conversely, measuring
improvement against clean conditions
would ensure reasonable progress
toward those clean conditions.
44 See also our explanation of the CAA goal
provided in the regional haze rule at 64 FR at
35720–35722. We note that the court in American
Corn Growers also observed, ‘‘the natural visibility
goal is not a mandate, it is a goal.’’ 291 F.3d at 27.
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With regard to BART-eligible sources
not being in operation for the duration
of the program, a State, in making BART
determinations, is explicitly directed by
the CAA to account for the remaining
useful life of a source. Thus, States may
factor into their reasonable progress
estimates those shut-downs that are
required and effected in permit or SIP
provisions. In addition, as provided for
under our guidance,45 proper
accounting for international emissions
and natural phenomena is in the 5 year
SIP progress report, not in the setting of
natural visibility estimates. Finally,
these final BART guidelines use the
natural visibility baseline for the 20
percent best visibility days for
comparison to the ‘‘cause or contribute’’
applicability thresholds. We believe this
estimated baseline is likely to be
reasonably conservative and consistent
with the goal of natural conditions.
Modeling Protocol
Background. The 2004 guidelines
proposed that a written modeling
protocol be submitted for assessing
visibility impacts from sources at
distances greater than 200 km from a
Class I area. The proposal indicated that
the protocol should include a
description of the methods and
procedures to follow, for approval by
the appropriate reviewing authority;
critical items to include in the protocol
are meteorological and terrain data,
source-specific information (stack
height, temperature, exit velocity,
elevation, and allowable emission rate
of applicable pollutants), and receptor
data from appropriate Class I areas.
Comments. All of the comments
supported the development of a written
modeling protocol. Industry, Federal,
and State commenters said a modeling
protocol should be required of all States
and stakeholders who are performing
the BART modeling analysis.
Commenters said the protocol should
allow all interested parties an
opportunity to understand the modeling
approach and how the results will be
used, and that the State should provide
opportunity for comments on the
procedures prior to the publication of
the final results.
Many utility groups commented that
the protocol should provide States with
flexibility and that the choice of models
should be at the States’ (or RPOs’)
discretion. Some commenters stressed
that it is important that states and
sources retain the flexibility to decide
45 Guidance for Estimating Natural Visibility
Conditions Under the Regional Haze Rule, U.S.
Environmental Protection Agency, September 2003.
https://www.epa.gov/ttncaaa1/t1/memoranda/
rh_envcurhr_gd.pdf.
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how to set up and run the selected
model, while others asked for specific
guidance on the setup of CALPUFF or
other approved models, including on
specific parameters (e.g. how to adjust
for cases where sources are greater than
200 km from a Class I area).
Regarding the approval of a modeling
protocol, some commenters said that the
protocol should be approved by EPA.
Others stated, however, that we should
have only an advisory role in
development of the protocol. They said
that States are in a better position to
determine which modeling input values
best reflect conditions in their States.
Several commenters representing
environmental groups said we should
develop a CALPUFF protocol that must
be followed and should include, among
other items, meteorological data (i.e.,
where available 5 years of data should
be used), emissions reported for the
same meteorological years, documented
source parameters, model physical
parameters, and assumed background
concentrations for ozone and ammonia
(based on nearby reliable observations
and/or regional modeling results). They
added that a protocol developed by EPA
would help to produce consistent BART
determinations across various sources
and geographic areas for both shorter
and longer distances. FLMs stated that
this is also an appropriate time to create
regional modeling platforms for
CALPUFF, which would allow States
and sources to run the model more
expeditiously and more consistently.
They recommended that we consider a
multi-agency process to reach agreement
on an appropriate modeling protocol
prior to allowing BART applicability
and control determinations to be based
on model results. FLMs added that it
would be helpful to establish a national
procedure for this process, including a
methodology for establishing natural
background conditions, background
ammonia concentrations, and
determining sulfuric acid emission
rates. Such a process, they said, could
reasonably be engaged in prior to
deadlines for state implementation
plans, and would not delay
implementation of the BART guidelines.
The FLMs noted that consistent,
nationally applicable guidance is
essential, and that once it is developed,
virtually no deviations should be
allowed. Finally, they added that the
CALPUFF modeling exercises should
follow the Interagency Workgroup on
Air Quality Modeling (IWAQM) Phase 2
Summary Report and Recommendations
for Modeling Long Range Transport
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39125
Impacts,46 but that we, in consultation
with the FLMs and States, should also
publish additional guidance to address
more recent issues such as particle
speciation, emission rate averaging
times, and ‘‘natural obscuration.’’
Another State commenter said that The
Guideline on Air Quality Models (CFR
Part 51, Appendix W) should be
included along with the IWAQM Report
as a reference for CALPUFF setup. One
RPO commented that we should provide
data, perhaps using example facilities,
to demonstrate the effect of the process
so that States can get a better feeling for
which sources are likely to fall below
the 0.5 deciview threshold. This would
help States understand the net effect of
all of the parameters chosen in the
exemption process.
Commenters also said that we should
continuously revise modeling protocols
by providing a modeling clearinghouse
to States, and further, that we should
consider new models for use, such as
the Community Multiscale Air Quality
(CMAQ) model.
There were specific comments
requesting guidance for calculating
visibility impacts and other general
modeling concerns. One technical
comment was that the guidelines should
specify that the IMPROVE monitor is
the receptor by which modeled
visibility impacts should be evaluated
with the CALPUFF model. Another
commenter suggested using recent
scientific evidence to update the light
extinction coefficients used by
CALPUFF to calculate visibility
changes. These commenters also stated
that CALPUFF might be improved by
capping the relative humidity to lower
values than are currently used.
Additional commenters representing
utility organizations discussed how to
identify Class I areas that should be
modeled. They said that the guidelines
should require sources to model only
the nearest Class I area (or possibly the
two closest), and one commenter said
that we should provide a reasonable
methodology to minimize the effort
needed to address impacts from BARTeligible sources on multiple Class I
areas.
Final Rule. We agree that States
should adopt modeling protocols for all
modeling demonstrations, regardless of
the distance from the BART-eligible
source and the Class I area impacted.
We are therefore dropping the 200 km
and greater distance requirement from
the guidelines. As noted in the 2004 re46 Interagency Workgroup on Air Quality
Modeling (IWAQM) Phase 2 Summary Report and
Recommendations for Modeling Long Range
Transport Impacts, U.S. Environmental Protection
Agency, EPA–454/R–98–019, December 1998.
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proposal, we believe that potential
uncertainties in model performance may
be greater at distances greater than 200
km for a source. A modeling protocol
may reduce the need for additional
analyses. We favor coordination among
States, EPA regions, RPOs, and other
federal agencies to agree on a modeling
protocol(s) which would provide
consistent application.
In developing a modeling protocol,
we also encourage States to use the
framework provided for model setup in
EPA’s IWAQM. CALPUFF model users
may find default settings in that
document which may be appropriate for
their modeling situations and add an
element of consistency to model
applications. The Guideline on Air
Quality Models (CFR Part 51, Appendix
W) also provides useful guidance.
We do, however, understand and
agree that States have flexibility
developing a modeling protocol.
Moreover, the diversity of the nation’s
topography and climate, and variations
in source configurations and operating
characteristics, dictate against a strict
modeling ‘‘cookbook’’. A State may
need to address site-specific
circumstances at individual sources
potentially affecting a specific Class I
area. For example, in a particular area
a State may have available emissions
data, that is more representative of the
modeling domain, which may
supplement the model defaults. States
may want to consult with the
appropriate EPA regional office and
Federal Land Managers in adjusting the
model input parameters. The modeling
input recommendations in the IWAQM
report are designed for visibility impact
applications, and those defaults allow
for tailoring for a given application (e.g.
puff splitting). The model developers
Web site 47 also has a series of
frequently asked questions with answers
to assist users in tailoring model
applications.
We agree that we have only an
advisory role in development of the
protocol as the States better understand
the BART-eligible source configurations
and the geophysical and meteorological
data affecting their particular Class I
area(s).
In the protocol development process,
we support the idea of designing
example runs, as we have done in our
example analysis for EGUs,48 so that
States may get a better understanding of
what visibility impacts might be
47 https://www.src.com/calpuff/calpuff1.htm.
48 CALPUFF Analysis in Support of the June 2005
Changes to the Regional Haze Rule,U.S.
Environmental Protection Agency, June 15, 2005,
Docket No. OAR–2002–0076.
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expected from a particular type of
source or sources. Once a protocol has
been finalized, a State may be able to
use example runs as a proxy in making
BART determinations which could
potentially eliminate the need for caseby-case review for every BART-eligible
source. A common sense approach
should be taken, particularly where an
analysis may add a significant resource
burden to a State. For example, if there
are multiple Class I areas in relatively
close proximity to a BART-eligible
source, a State may model a full field of
receptors at the closest Class I area.
Then a few strategic receptors may be
added at the other Class I areas (perhaps
at the closest point to the source, a
receptor at the highest and lowest
elevation in the Class I area, a receptor
at the IMPROVE monitor, and a few
receptors that are expected to be at the
approximate plume release height). If
the highest modeled impacts are
observed at the nearest Class I area, a
State may choose not to analyze the
other Class I areas any further and
additional analyses might be
unwarranted.
As models are revised and advances
in science are incorporated into the
models, we can make certain that
revisions to protocols are made
accordingly. We will work closely with
States and FLMs, as should States; we
expect that States will also work closely
with FLMs throughout the protocol
development process. We expect a
similar protocol development process
for other models that may be used, once
those models are developed to predict
and track single source impacts and
demonstrate acceptable model
performance. States should contact the
appropriate FLM and EPA regional
office for the latest guidance and
modeling updates.
Alternatives for Determining Visibility
Impacts From Individual Sources
Background. In the 2004 reproposal,
we requested comment on the following
alternatives to CALPUFF modeling for
determining whether individual sources
cause or contribute to visibility
impairment: look-up tables developed
from screening-level air quality
modeling; running CALPUFF in a
simpler screening mode than the
preferred approach; a source ranking
methodology; and an emissions divided
by distance (Q/D) method. Except for
the simplified CALPUFF approach, all
alternatives were based on developing a
relationship between source emissions
and the source’s distance to a Class I
area. Each of these approaches was
intended to reduce the resource burden
on States.
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Comments. Some commenters
supported the use of alternative
approaches, while others suggested that
the alternatives could be used either in
conjunction, or in hierarchical fashion,
with modeling approaches. Many
commenters were opposed to their use.
The opposing comments were
consistent in stating that the alternatives
were inappropriate because they did not
account for important factors such as
terrain, local meteorological data,
prevailing wind directions (which
influence pollutant transport), and
differences in stack release parameters.
Commenters added that there is no
direct connection between emissions,
distance, and visibility impairment, and
that the methods treat SO2 and NOX
equally for impairment estimates.
Final Rule. We disagree that the
alternatives are necessarily
inappropriate, but we share most of the
concerns articulated by the opposing
commenters. We believe that
alternatives should not be used to
exempt a source from BART review
without more rigorous evaluations and
sensitivity tests showing that the results
are at least as conservative as the
CALPUFF model. We know of at least
one study showing that, for one location
and for one year, there is no guarantee
that the simplified CALPUFF technique
is as conservative as the preferred
approach 49. While we are not adopting
in the guideline any specific alternative
to modeling for power plants greater
than 750MW, a State may develop its
own alternative approach for the other
source categories to determine if a
source would be subject to BART,
provided that the alternative
demonstrates a sufficient basis to
determine clearly that the source causes
or contributes to visibility impairment,
or that more refined analysis is
warranted. Use of an alternative
approach could be a conservative nonmodeling method for easing a State’s
resource burden. We believe
conservatism is needed because of the
purpose of the test: i.e. solely to
determine if a closer look at the source
is warranted.
E. The BART Determination Process
Background. CAA section 169A(g)(7)
directs States to consider five factors in
making BART determinations. The
regional haze rule codified these factors
in 40 CFR 51.308(e)(1)(ii)(B), which
directs States to identify the ‘‘best
system of continuous emissions control
49 Analysis of the CALMET/CALPUFF Modeling
System in a Screening Mode, U.S. Environmental
Protection Agency, November 1998, Docket No.
OAR–2002–0076.
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technology’’ taking into account ‘‘the
technology available, the costs of
compliance, the energy and nonair
quality environmental impacts of
compliance, any pollution control
equipment in use at the source, and the
remaining useful life of the source.’’
Section IV. of the BART guidelines
provides a step-by-step guide to
conducting a BART determination
which takes these factors into account.
This section of the preamble
addresses a number of issues relative to
the process for conducting a BART
determination contained in Section IV
of the BART guidelines.
1. What Is Meant by ‘‘Technical
Feasibility of the Control Options’’ in
Step 2 of the BART Determination?
Comments. We received several
comments on this discussion, both on
the 2001 proposal and on the 2004
reproposal. One commenter
recommended that the concept of
available technology for regional haze
should be expanded to include those in
the pilot scale testing phase, because
these guidelines will precede the
installation of controls by about 10
years. Other commenters believed that
the discussion of technical feasibility
introduced terms and concepts that
were not clear, for example, what is
meant by ‘‘commercial demonstration.’’
One commenter raised issues with
deeming technologies used in foreign
countries ‘‘available’’ unless their
performance has been demonstrated in
the United States. A few commenters
expressed concern with the provision in
the guidelines that new technologies
should be considered up to the time of
a State’s public comment period on the
BART determination. The commenter
believed that this could create an
endless review loop for States if new
technologies continually became
available.
Final rule. In the final guidelines, we
have largely retained the language that
was in the proposed guidelines. Because
the guidelines call for consideration of
technologies that become available by
the time of the State’s public comment
process on the BART determination,
technologies should be considered that
become available well after we finalize
the BART guidelines. We also note, for
clarity, that the Guidelines state that
technologies need to be both licensed
and commercially available (i.e.
commercially demonstrated and sold).
2. How Should the Costs of Control Be
Estimated in Step 4 of the BART
Determination?
Comments. This section of the
guidelines remained unchanged
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between the 2001 proposal and the 2004
reproposal. Comments varied, ranging
from questioning the reliance on EPA’s
OAQPS Control Cost Manual Fifth
Edition, February 1996, EPA 453/B–96–
001 (hereafter called the ‘‘Control Cost
Manual’’) to requesting that we not
include the concept of incremental cost
effectiveness in the guidelines. A
commenter expressed concerns that
incremental cost effectiveness
calculations, the cost of implementing
each succeeding control option, is too
dependent on the number of interim
options included in the analysis.
Moreover, the commenter believed that
incremental cost calculations increase
the complexity of the analysis, and they
also increase the possibility for
inconsistent cost results.
Final rule. We have finalized this
section of the guidelines with some
changes to how it was proposed. States
have flexibility in how they caculate
costs. We believe that the Control Cost
Manual provides a good reference tool
for cost calculations, but if there are
elements or sources that are not
addressed by the Control Cost Manual
or there are additional cost methods that
could be used, we believe that these
could serve as useful supplemental
information.
In addition, the guidelines continue to
include both average and incremental
costs. We continue to believe that both
average and incremental costs provide
information useful for making control
determinations. However, we believe
that these techniques should not be
misused. For example, a source may be
faced with a choice between two
available control devices, control A and
control B, where control B achieves
slightly greater emission reductions.
The average cost (total annual cost/total
annual emission reductions) for each
may be deemed to be reasonable.
However, the incremental cost (total
annual costA–B/total annual emission
reductionsA–B) of the additional
emission reductions to be achieved by
control B may be very great. In such an
instance, it may be inappropriate to
choose control B, based on its high
incremental costs, even though its
average cost may be considered
reasonable.
Finally, it is important to note that,
while BART determinations are focused
at individual sources, it is likely that in
response to SIP requirements, States
will be making BART determinations for
many units in a subject source category
all at the same time. In doing so, States
are likely to compare costs across each
source category as well as looking at
costs for individual units in order to
respond to SIP requirements in an
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39127
efficient manner (from the State’s
perspective).
3. How Should ‘‘Remaining Useful Life’’
Be Considered in Step 4 of the BART
Determination?
Comments. We received a number of
comments on the issue of remaining
useful life, both on the 2001 proposal
and on the 2004 reproposal. One
commenter asserted that remaining
useful life should not be considered in
the cost analysis and that if a source is
in operation at the time of a State’s SIP
submittal, it must have plans to install
controls. Other commenters believed
that, to the extent that assertions
regarding a plant’s remaining useful life
influences the BART decision, there
must be an enforceable requirement for
the plant to shut down by that date.
Other comments questioned whether
Congress intended enforceable
restrictions in order to take into account
the remaining useful life and whether
EPA had the authority under the CAA
to require plant shutdowns.
A number of comments were received
regarding our request for comments on
how to provide flexibility for situations
where market conditions change. Some
comments interpreted this provision as
a loophole that would allow sources to
continue operation for a number of
years without BART. Another comment
supported the concept of allowing a
source to later change its mind, so long
as BART is installed.
Final rule. We have retained the
approach in the proposed guidelines,
including the provision for flexibility
for sources to continue operating, with
BART in place, should conditions
change. We believe that the CAA
mandates consideration of the
remaining useful life as a separate
factor, and that it is appropriate to
consider in the analysis the effects of
remaining useful life on costs. We
believe that, because the source would
not be allowed to operate after the 5year point without such controls, the
option for providing flexibility would
not create a loophole for sources.
Moreover, any source operating after
this point without BART controls in
place would be subject to enforcement
actions for violating the BART limit. For
any source that does not agree to shut
down before the 5-year point, the State
should identify a specific BART
emission limit that would apply after
this point in time.
4. How Should ‘‘Visibility Impacts’’ Be
Considered in Step 5 of the BART
Determination?
Background. The fifth statutory factor
addresses the degree of improvement in
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visibility which may reasonably be
anticipated to result from the use of the
‘‘best control technology’’ for sources
subject to BART. The 2004 reproposal
focuses on the use of single source
emissions modeling to evaluate the
BART control options. As part of the
BART determination, we proposed that
a State or individual source would run
CALPUFF, or another EPA-approved
model, to estimate, in deciviews, a
BART source’s visibility impact at a
Class I area. The source would run the
model once using its allowable emission
rates, and then again at the various postcontrol emissions rates being evaluated
for the BART determination. The 24hour model results would then be
tabulated for the pre- and post-control
scenarios, for the average of the 20
percent worst modeled days at each
receptor, over the time period of
meteorology modeled. The difference in
the averages for each receptor is the
expected degree of improvement in
visibility. Alternatively, the proposal
requested comment on the option of
using the hourly modeled impacts from
CALPUFF at each receptor and
determining the improvement in
visibility based on the number of hours
above the 0.5 deciview threshold for
both the pre- and post-control model
runs. We also requested comment on
combinations of the proposed and
alternative options and on the use of the
simpler screening version of CALPUFF
to do the analysis.
Comments. Several environmental
groups said that issues relating to the
determination of visibility improvement
for evaluating BART controls are in
many ways the same as for determining
which BART-eligible sources are subject
to BART. Thus, the commenter pointed
out, the issues concerning the BART
applicability test, discussed in section
D., are all equally applicable here,
including comments on: using the 0.5
deciview threshold on an aggregate
basis for determining visibility
impairment and potential exemption for
BART-eligible sources, use of a natural
visibility baseline versus current
visibility, using a substantially lower
deciview threshold than 0.5 deciviews
to determine the contribution to
visibility impairment by an individual
source, and demonstration of those
thresholds by means of appropriate
modeling rather than other less reliable
and more subjective techniques.
An industry commenter claimed that
the American Corn Growers case
emphasized the fact that the CAA
clearly provides that BART
determinations should balance the
visibility benefits of controls
comprehensively against their burdens;
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the commenter noted that this is not
mentioned in our proposal; the
commenter said that although the
proposal would allow States to run the
CALPUFF model, it fails to specify how
they might consider the results.
One State commenter opposed the use
of visibility modeling for the purpose of
informing the choice of control option,
stating that it is unnecessary, confusing
and without adequate standards or
guidance for implementation. The State
added that the analysis of control
options in the BART process should
yield the greatest, most cost-effective
control efficiency for NOX and SO2 at or
above our presumptive levels of control.
Moreover, it said that analysis of the
degree of visibility improvement may
result in very small increments of
visibility improvements within Class I
areas from an individual source, thus
tilting the selection to the lower control
efficiency option. The State added that
we should remove this criterion from
the analysis to ensure that the best cost
effective controls will result. Another
State agency said that modeling impacts
should not be considered in BART
determinations because they are not
considered when determining BACT for
the PSD program.
A variety of commenters pointed out
several areas where the guidelines
should be improved or clarified in
regard to the degree of visibility
improvement determination:
• We should clarify that the analysis
is pollutant-specific (e.g., the modeling
evaluation of a BART control option for
SO2 reduction should not be combined
with the modeling evaluation of a BART
control option for NOX.)
• We should clarify that only the
closest Class I area must be modeled.
• We should describe CALPUFF as
one possible model to use, rather than
as the only model that may be used.
• States and sources should have the
flexibility to perform multiple modeling
runs based on different levels of
available control.
• Predicted visibility improvements
that are imperceptible should be given
no weight in determining the level of
control that constitutes BART.
• States should be allowed to
establish a factor for the required degree
of visibility improvement.
Several industry and utility
commenters expressed concern about
using allowable emission rates to
predict visibility impacts for BART
control options; they argued that actual
emission rates should be considered
instead. Three commenters stated that
we must make clear that States should
use emission rates that will be
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permissible at the time BART controls
take effect, not current emissions rates.
Additional comments from utilities,
industry, and one State opposed the
approach wherein the results from the
20 percent worst modeled days (preand post-control) were used to evaluate
the visibility improvements expected
from the various control options. Some
believed this was too stringent, while
others said it was not stringent enough.
Two utilities added that the criteria
should use the 20 percent worst days
based on monitored data, not modeled
data. An environmental group stated
that sources should not be limited to
just the worst days, but the
improvements should be based upon
controls reducing visibility impairment
on any day. The commenter added that
this rationale ignores the middle 60
percent of days in which visibility may
worsen, because sources may increase
emissions on these days as a trade-off
for cutting emissions on the worst days.
The commenter further argued that
there are no data to support our
assertion that improvement on the worst
days means improvement on other days.
They noted that default ‘‘natural
condition’’ deciview values for Class I
areas in our natural conditions guidance
exist only for the average of the 20
percent best and worst days. The
commenter added that we used the
average default natural conditions (for
the 20 percent best days) for the
visibility impairment analysis, but there
are no default ‘‘maximum 24-hour’’
values in the guidance.
Nine commenters supported
implementation of visibility
improvement thresholds, which were
not proposed in 2004. A State
commenter said it is unclear how the
modeled net visibility improvement
would be specifically utilized in the
BART analysis, and requested a target
level of improvement or a de minimis
level by which to measure
improvement. Two industry
commenters suggested alternatives to
the 24-hour value. One said that setting
a threshold for comparison, as in the
BART-applicability test, is more
appropriate than the overall comparison
of the 20 percent worst case days, and
that the threshold for comparison
should be on at least a daily average (or
longer), not an hourly average, due to
the possibility of short-term spikes
based on certain meteorological
conditions.
These commenters also said that a
comparison of the number of days above
or below a certain threshold is
preferable since below a certain
threshold, the impacts of visibility are
not perceptible; unlike concentration
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levels of certain pollutants (i.e., ozone)
which do not have a threshold below
which there are no effects, there are
concentration levels of particulate
below which there is no visibility
impact. They also asserted that
comparing the number of days would
allow for a more complete picture of
how controls would potentially improve
visibility. As noted previously, a small
number of unusual meteorological
conditions can produce significant
spikes on a single day or days. Since the
overall goal of the regional haze rule is
long-term visibility improvement, they
said that a comparison of the total
number of days exceeding a threshold
over multiple years will provide a better
overall indicator of visibility
improvement. One commenter
suggested that if we retain the maximum
24-hour value for the visibility
impairment analysis, we should at least
allow the use of only 1 year, rather than
5 years, of meteorological data. That
would simplify the modeling and would
lessen the chance that one day with
atypical, extreme conditions would
dictate the result.
One FLM supported our proposed
method to determine visibility
improvement associated with
installation of BART. However, with
regard to the use of hourly data instead
of 24 hour data for the degree of
visibility improvement assessment,
another FLM said that while hourly
model data are, by their nature, less
reliable in predicting actual conditions,
a measure that reports the total number
of hours above a given threshold would
still be a useful measure of the longterm effect of BART control. They said
we should require States to report a
combination of measures of the
visibility improvement expected from
BART. Such measures would be the
change in the 20 percent worst days as
well as a metric that examines the
amount of time during a year that the
source’s visibility impact would exceed
a threshold with and without BART.
Another utility commenter added
that, if a BART control option would
result in no perceptible improvement in
visibility at a Class I area, then it is not
a cost-effective option. This commenter
said that based on Pitchford and Malm
(1994) 50 and Henry (2002) 51 a 2
deciview threshold of perception would
be appropriate, with a 1 deciview
50 Pitchford, M. and Malm, W., ‘‘Development
and Applications of a Standard Visual Index,’’
Atmospheric Environment, V. 28, no. 5, March
1994.
51 Henry, R.C. ‘‘Just-Noticeable Differences in
Atmospheric Haze’’, Journal of the Air & Waste
Management Association, 52:1238–1243, October
2002.
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threshold providing a margin of safety.
Another commenter said that we should
clarify that visibility improvement
differences among BART control
options should be considered
insignificant if the differences are less
than the perceptibility threshold level,
which should be set in excess of 1
deciview. Other commenters said the
minimum threshold should be 1
deciview.
Final Rule. We disagree with the
comment that modeling should not be
part of a BART review because it is not
considered for BACT. CAA section
169A(g)(2) clearly requires an
evaluation of the expected degree of
improvement in visibility from BART
controls. All five statutory factors,
including cost-effectiveness and
expected visibility improvement, should
be reflected in the level of BART control
that the State implements. We believe
that modeling, which provides model
concentration estimates that are readily
converted to deciviews, is the most
efficient way to determine expected
visibility improvement.
For the purposes of determining
visibility improvement, States may
evaluate visibility changes on a
pollutant-specific basis. If expected
improvement is shown from the various
control choices, the State can weigh the
results with the other four BART
determination factors when establishing
BART for a particular source. For
example, a State can use the CALPUFF
model to predict visibility impacts from
an EGU in examining the option to
control NOX and SO2 with SCR
technology and a scrubber, respectively.
A comparison of visibility impacts
might then be made with a modeling
scenario whereby NOX is controlled by
combustion controls. If expected
visibility improvements are significantly
different under one control scenario
than under another, then a State may
use that information, along with
information on the other BART factors,
to inform its BART determination.
Even though the visibility
improvement from an individual source
may not be perceptible, it should still be
considered in setting BART because the
contribution to haze may be significant
relative to other source contributions in
the Class I area. Thus, we disagree that
the degree of improvement should be
contingent upon perceptibility. Failing
to consider less-than-perceptible
contributions to visibility impairment
would ignore the CAA’s intent to have
BART requirements apply to sources
that contribute to, as well as cause, such
impairment.
Although we are not requiring States
to use allowable emission rates to
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39129
predict the anticipated future visibility
impacts of BART controls, we disagree
that daily average actual emission rates
should be used to make this assessment.
Emissions from a source can vary
widely on a day to day basis; during
peak operating days, the 24-hour actual
emission rate could be more than
double the daily average. On the other
hand, in the long term, estimating
visibility impacts based on allowable
emission rates for every hour of the year
may unduly inflate the maximum 24
hour modeled impairment estimate from
a BART-eligible source. The emissions
estimates used in the models are
intended to reflect steady-state
operating conditions during periods of
high capacity utilization. We do not
generally recommend that emissions
reflecting periods of start-up, shutdown,
and malfunction be used, as such
emission rates could produce higher
than normal effects than would be
typical of most facilities. Where States
have information on a source’s daily
emissions, an emission rate based on the
maximum actual emissions over a 24
hour period for the most recent five
years may be a more appropriate gauge
of a source’s potential impact as it
would ensure that peak emission
conditions are reflected, but would
likely not overestimate a source’s
potential impact on any given day. We
have accordingly included this change
to the final guidelines. We recommend
that the State use the highest 24-hour
average actual emission rate, for the
most recent three or five year period of
meteorological data, to characterize the
maximum potential benefit.
Because each Class I area is unique,
we believe States should have flexibility
to assess visibility improvements due to
BART controls by one or more methods,
or by a combination of methods, and we
agree with the commenters suggestions
to do so. We believe the maximum 24hour modeled impact can be an
appropriate measure in determining the
degree of visibility improvement
expected from BART reductions (or for
BART applicability). We have pointed
out, however, that States should have
flexibility when evaluating the fifth
statutory factor. A State is encouraged to
account for the magnitude, frequency,
and duration of the contributions to
visibility impairment caused by the
source based on the natural variability
of meteorology. These are important
elements to consider as they would
provide useful information on both the
short term peak impact and long term
average assessments which are critical
in making the visibility assessment.
We agree with the suggestion that the
use of a comparison threshold, as is
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done for determining if BART-eligible
sources should be subject to a BART
determination, is an appropriate way to
evaluate visibility improvement.
However, we believe the States have
flexibility in setting absolute thresholds,
target levels of improvement, or de
minimis levels since the deciview
improvement must be weighed among
the five factors, and States are free to
determine the weight and significance
to be assigned to each factor. For
example, a 0.3, 0.5, or even 1.0 deciview
improvement may merit stronger
weighting in one case versus another, so
one ‘‘bright line’’ may not be
appropriate.
In addition, comparison thresholds
can be used in a number of ways in
evaluating visibility improvement (e.g.
the number of days or hours that the
threshold was exceeded, a single
threshold for determining whether a
change in impacts is significant, a
threshold representing an x percent
change in improvement, etc.). In our
example modeling analysis of a
hypothetical source,52 we used three
different 24-hour thresholds (1.0, 0.5,
and 0.1 deciviews) and examined the
number of days that those thresholds
were exceeded for a source with a 90
percent change, for example, in SO2
emissions (i.e. 10,000 TPY and 1,000
TPY). The number of days that the
thresholds were exceeded in the 10,000
TPY case was substantial, and the
visibility improvement due to the
reduction in emissions was dramatic
(i.e. the number of days exceeding the
thresholds dropped considerably).53
Other ways that visibility
improvement may be assessed to inform
the control decisions would be to
examine distributions of the daily
impacts, determine if the time of year is
important (e.g. high impacts are
occurring during tourist season),
consideration of the cost-effectiveness of
visibility improvements (i.e. the cost per
change in deciview), using the measures
of deciview improvement identified by
the State, or simply compare the worst
case days for the pre- and post-control
runs. States may develop other methods
as well.
5. In What Sequence Should
Alternatives Be Assessed in Step 5 of
the BART Determination?
Background. Both the 2001 proposal
and the 2004 reproposal requested
comments on two options for evaluating
the ranked options. Under the first
52 CALPUFF Analysis in Support of the June 2005
Changes to the Regional Haze Rule, U.S.
Environmental Protection Agency, June 15, 2005,
Docket No. OAR–2002–0076.
53 Ibid.
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option, States would use a sequential
process for conducting the impacts
analysis, beginning with a complete
evaluation of the most stringent control
option. If a State determines that the
most stringent alternative in the ranking
does not impose unreasonable costs of
compliance, taking into account both
average and incremental costs, the
analysis begins with a presumption that
this level is selected. Under this option,
States would then proceed to consider
whether energy and non-air quality
environmental impacts would justify
selection of an alternative control
option. If there are no outstanding
issues regarding energy and non-air
quality environmental impacts, the
analysis is ended and the most stringent
alternative is identified as the ‘‘best
system of continuous emission
reduction.’’ If a State determines that
the most stringent alternative is
unacceptable due to such impacts, this
approach would require them to
document the rationale for this finding
for the public record. Then, the next
most-effective alternative in the listing
becomes the new control candidate and
is similarly evaluated. This process
would continue until the State identifies
a technology which does not pose
unacceptable costs of compliance,
energy and/or non-air quality
environmental impacts.
We also requested comment on an
alternative decision-making approach
that would not begin with an evaluation
of the most stringent control option. For
example, States could choose to begin
the BART determination process by
evaluating the least stringent technically
feasible control option or by evaluating
an intermediate control option drawn
from the range of technically feasible
control alternatives. Under this
approach, States would then consider
the additional emissions reductions,
costs, and other effects (if any) of
successively more stringent control
options. Under such an approach, States
would still be required to (1) display all
of the options and identify the average
and incremental costs of each option; (2)
consider the energy and non-air quality
environmental impacts of each option;
and (3) provide a justification for
adopting the technology selected as the
‘‘best’’ level of control, including an
explanation of its decision to reject the
other control technologies identified in
the BART determination.
In selecting a ‘‘best’’ alternative, the
proposed guidelines included a
discussion on whether the affordability
of controls should be considered. As a
general matter, for plants that are
essentially uncontrolled at present and
emit at much greater levels per unit of
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production than other plants in the
category, we believe it is likely that
additional control will be cost-effective.
The proposed guidelines noted,
however, that we recognize there may
be unusual circumstances that justify
taking into consideration the conditions
of the plant and the economic effects of
requiring the use of a given control
technology. These effects would include
effects on product prices, the market
share, and profitability of the source.
We did not intend, for example, that the
most stringent alternative must always
be selected if that level would cause a
plant to shut down, while a slightly
lesser degree of control would not have
this effect.
Comments. We received comments
supporting both of the approaches for
evaluating ranked control alternatives.
Many commenters, including
commenters from State agencies, were
supportive of the first approach.
Comments from State air quality
agencies were strongly supportive of
this approach. These commenters
believed that this approach is consistent
with past approaches by States for
considering control options for case-bycase determinations, is well understood
by all parties, and thus easier to
implement. The first approach also was
strongly supported in comments from
environmental organizations and private
citizens. Some comments noted that the
plain terminology ‘‘best’’ suggests that
there must be a sound reason for not
using the most stringent control level.
Many comments from industrial trade
organizations were critical of the first
approach and believed that any
requirement to use this approach would
reduce State discretion because this
approach, in the judgment of the
commenters, would amount to use of
the most stringent alternative as a
default. Some of these comments
asserted that the approach in option 1
would shift the BART analysis away
from a cost-benefit approach mandated
by the CAA towards a BACT-like
technology analysis. Other commenters
believed that EPA should recognize that
BART, as a control requirement for
retrofitting existing sources, should
differ from BACT or other controls for
new equipment. A number of
comments, in supporting the second
approach, believed that this approach
provides greater consideration of the
incremental cost of each succeeding
option.
Final rule. In the final guidelines, we
have decided that States should retain
the discretion to evaluate control
options in whatever order they choose,
so long as the State explains its analysis
of the CAA factors. We agree with
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commenters who asserted that the
method for assessing BART controls for
existing sources should consider all of
the statutory factors.
6. What Should Be the Presumptive
Limits for SO2 and NOX for Utility
Boilers?
Background. In the 2004 reproposal,
we proposed that States, as a general
matter, should require EGUs greater
than 250 MW in size at power plants
larger than 750 MW to control 95
percent of their SO2 emissions, or
control to within an SO2 emission range
of 0.1 to 0.15 lb/mmBtu. We also
proposed to establish a rebuttable
presumption that States should impose
these BART SO2 limits on all EGUs
greater than 250 MW, regardless of the
size of the power plant at which they
are located.
For NOX, we proposed that sources
currently using controls such as SCRs to
reduce NOX emissions during part of the
year should be required to operate those
controls year-round. For power plants
without post-combustion controls, we
proposed to establish a presumptive
emissions limit of 0.20 lbs/mmbtu for
EGUs greater than 250 MW in size. We
requested comment on the rate of NOX
emissions that can be achieved with
combustion modifications on specific
types of boilers. Many commenters
responded both in favor and in
opposition to these proposed BART
presumptive limits.
Comments. A number of utility
groups said the presumptive SO2
emissions control approach
inappropriately ignores the need for a
visibility impact evaluation which is
required in step 5 of the proposed caseby-case BART engineering analysis.
They said that setting presumptive
limits infringes on a state’s authority to
establish BART on a case-by-case basis
considering not only visibility
improvement, but the other statutory
factors as well. The commenters said
that visibility is both Class I area and
source specific, which is the reason
Congress gave the States the lead role
and discretion in the BART program to
determine which sources need to install
or upgrade controls. Through the use of
presumptions and default values,
however, our prescriptive process, as
proposed, would make the installation
of maximum controls more likely
without regard to visibility benefits.
Instead, they argued, we should give the
states maximum flexibility to use the
five statutory factors in their BART
determinations. Commenters said
sources must be allowed to assess the
visibility improvements of a variety of
control options.
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Several utilities raised concern that
sources with existing controls should
not be required to meet the presumptive
limits without the chance to evaluate
the degree of visibility improvement
expected from the additional emission
reduction requirements. They said that
if a source can demonstrate a reduction
in visibility impairment below the
specified threshold (whether that
threshold is our currently proposed 0.5
deciview or an alternative level) with
less stringent controls, then neither we
nor States should impose, by default,
more stringent reduction requirements.
Commenters from industry, utilities,
and States said that we had not
indicated what previously-controlled
sources must do to comply with BART,
while we had determined what controls
are necessary for uncontrolled sources.
They were concerned that the
guidelines would lead States to require
previously-controlled sources to remove
the controls and replace them with even
newer controls at great cost and very
little, if any, improvement in emission
levels and visibility in Class I areas.
Commenters added that States should
be able to use their discretion to
determine whether additional controls
are needed.
Some commenters were concerned
that the proposed rule would require
some plants to install SCR to meet the
NOX control level proposed, as the
potential retrofit of SCR technology for
the BART determination may be
supported by the degree of visibility
improvement expected. They said that
the guidelines indicate that if a State
finds that a source’s visibility
contribution warrants the installation of
SCR, then SCR may be imposed. The
commenter added, however, that the
guidelines also need to provide for
instances where the visibility condition
warrants a lesser control level than what
would be achieved by advanced
combustion control; the commenter
claimed there was reference to this
concept in the preamble but not the
guidelines.
Final rule. In these guidelines, we are
finalizing specific presumptive limits
for SO2 and NOX for certain EGUs based
on fuel type, unit size, cost
effectiveness, and the presence or
absence of pre-existing controls. The
presumptive limits finalized in today’s
rulemaking reflect highly cost-effective
technologies as well as provide enough
flexibility for States to take particular
circumstances into account.
The presumptive limits apply to EGUs
at power plants with a total generating
capacity in excess of 750 MW. As
explained in greater detail below, for
these sources we are establishing a
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39131
BART presumptive emission limit for
coal-fired EGUs greater than 200 MW in
size without existing SO2 control. These
EGUs should achieve either 95 percent
SO2 removal, or an emission rate of 0.15
lb SO2/mmBtu, unless a State
determines that an alternative control
level is justified based on a careful
consideration of the statutory factors.
For NOX, we are establishing a set of
BART presumptive emission limits for
coal-fired EGUs greater than 200 MW in
size based upon boiler size and coal
type, and based upon whether selective
catalytic reduction (SCR) or selective
noncatalytic reduction (SNCR) are
already employed at the source. See
section d. below for a table listing those
specific limits. Based on our analysis of
emissions from power plants, we
believe that applying these highly costeffective controls at the large power
plants covered by the guidelines would
result in significant improvements in
visibility and help to ensure reasonable
progress toward the national visibility
goal.
States, as a general matter, must
require owners and operators of greater
than 750 MW power plants to meet
these BART emission limits. We are
establishing these requirements based
on the consideration of certain factors
discussed below. Although we believe
that these requirements are extremely
likely to be appropriate for all greater
than 750 MW power plants subject to
BART, a State may establish different
requirements if the State can
demonstrate that an alternative
determination is justified based on a
consideration of the five statutory
factors.
In addition, while States are not
required to follow these guidelines for
EGUs located at power plants with a
generating capacity of less than 750
MW, based on our analysis detailed
below, we believe that States will find
these same presumptive controls to be
highly-cost effective, and to result in a
significant degree of visibility
improvement, for most EGUs greater
than 200 MW, regardless of the size of
the plant at which they are located. A
State is free to reach a different
conclusion if the State believes that an
alternative determination is justified
based on a consideration of the five
statutory factors. Nevertheless, our
analysis indicates that these controls are
likely to be among the most costeffective controls available for any
source subject to BART, and that they
are likely to result in a significant
degree of visibility improvement.
The rest of this section discusses
these presumptive limits for SO2 and
NOX for EGUs and the additional
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visibility impact and cost-effectiveness
analyses we have performed since
proposal of the guidelines in 2004.
a. Visibility Analysis for SO2 and NOX
Emissions From EGUs. In the 2004
reproposal, our preliminary CALPUFF
modeling 54 suggested that controlling a
single 250 MW EGU at a 90 percent
level would improve visibility
substantially from that source. Based on
the expected degree of improvement in
visibility and the use of highly effective
control technologies that are available
for sources of this capacity and greater,
we concluded that the specific control
levels in the proposal were appropriate.
Even at that level of control however,
our analysis indicated that emissions
from the source might still cause a
perceptible impact on visibility.
Following comments that we had
ignored the need to consider the degree
of improvement in visibility which
could reasonably be anticipated from
the use of the presumptive control
technologies, we undertook a more
comprehensive modeling analysis of the
anticipated visibility impacts of
controlling large EGUs. Based on this
modeling analysis, we anticipate that a
majority of the currently uncontrolled
EGUs at power plants covered by the
guideline are predicted to have 24-hour
maximum impacts of greater than a
change of 2 or 3 deciviews.55 Our
modeling examples included scenarios
that were representative of typical
EGUs, but, in our first hypothetical run
#1, we conservatively assumed SO2
emissions of 10,000 tons per year (TPY)
and NOX emissions of approximately
3,500 TPY.56 Such levels of emissions
are well below those that may be
expected of an uncontrolled 200 MW
EGU. The number of days during any
year that such sources are predicted to
have visibility impacts of greater than
0.5 deciviews or even 1.0 deciview were
29 days and 12 days on average,
respectively, at 50 km from a
hypothetical Class I area in the East; if
the 98th percentile were considered,
there would be five days above a 1.0
deciview change.
The modeled emission rates in the
example were conservative; for much
larger EGUs with capacities of 750 MW
or more, and emission rates much
higher than those which were modeled,
visibility degradation is expected to be
54 Summary of Technical Analyses for the
Proposed Rule, Mark Evangelista, U.S.
Environmental Protection Agency, April 12, 2004,
Docket No. OAR–2002–0076.
55 CALPUFF Analysis in Support of the the June
2005 Changes to the Regional Haze Rule, U.S.
Environmental Protection Agency, June 15, 2005,
Docket No. OAR–2002–0076.
56 Ibid.
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far worse. Clearly there is a substantial
degree of visibility improvement which
is likely from emission reductions at
these sources.
Although we are confident that the
EGUs for which we are establishing
presumptive limits each have a
significant impact on visibility at one or
more Class I areas, a State retains the
option and flexibility to conduct its own
analysis or allow a source to
demonstrate that it should not be
subject to BART (based on its visibility
effects).
b. BART Presumptive Limits for SO2
From Coal-Fired Units. For currently
uncontrolled coal-fired EGUs greater
than 200 MW in size located at power
plants greater than 750 MW, we are
establishing a presumptive BART limits
of 95 percent SO2 removal, or an
emission rate of 0.15 lb SO2/mmBtu. We
are not establishing a presumptive limit
for EGUs with existing post-combustion
SO2 controls or for EGUs that burn oil.
In 2004, we proposed presumptive
limits for SO2 of 95 percent control or
a comparable performance level of 0.1 to
0.15 lbs per million BTU as controls that
would be achievable and cost-effective.
We requested comment on the removal
effectiveness of flue gas desulfurization
(‘‘FGD’’ or ‘‘scrubber’’ controls) for
various coal types and sulfur content
combinations. Having considered the
comments received, we have
determined that there is ample data to
support the determination that the
BART presumptive limits outlined in
today’s action are readily achievable by
new wet or semi-dry FGD systems
across a wide range of coal types and
sulfur contents based on proven
scrubber technologies currently
operational in the electric industry.57
We agree with the commenters who
stated that our dual recommendation
provided equity across sources burning
coals of varying sulfur content. We
believe the presumptive limits provide
enough flexibility that absent unique
circumstances, any BART-eligible coalfired EGU will be able to achieve one of
the limits with a new FGD system. We
expect that BART-eligible EGUs burning
medium to high sulfur coal will be able
to achieve a removal efficiency of 95
percent in a cost effective manner by
utilizing various wet FGD technologies,
and that those EGUs burning lower
sulfur coals could meet the emission
limit of 0.15lb/mmBtu in a cost effective
manner by utilizing dry FGD
technologies. As described below, EPA’s
unit specific economic modeling
57 Technical Support Document for BART SO
2
Limits for Electric Generating Units, Memorandum
to Docket OAR 2002–0076, April 1, 2005.
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showed that the majority of BART
eligible units greater than 200 MW can
meet the presumptive BART limit at a
cost of $400 to $2000 per ton of SO2
removed.
Some commenters expressed concerns
that the proposed limits were too
stringent in particular for: (1) EGUs less
than 750 MW in size, (2) EGUs burning
low sulfur coals, and (3) EGUs burning
lignite coals. However, numerous
examples exist of smaller EGUs and
EGUs burning low sulfur or lignite coals
achieving these SO2 limits at reasonable
cost.58 We recognize that semi-dry FGD
systems are most commonly utilized on
units burning lower sulfur coals and are
not typically designed for removal
efficiencies of 95 percent or greater.
However, we believe that most of these
EGUs can readily achieve the
presumptive emission rate limit of 0.15
lb SO2/mmBtu. An analysis of EPA’s
RACT/BACT/LEAR Clearinghouse Dry
FGD cost effectiveness data ranged from
$393 to $2132 per ton SO2 removed,
with an average cost effectiveness of
$792 per ton.59
We received a few comments
expressing the belief that the
presumptive limits should be more
stringent, given that BART emission
limits will not be fully implemented
until 2013 or 2014. We recognize that
while some scrubber units currently
achieve reductions greater than 95
percent, not all units can do so. The
individual units that currently achieve
greater than 95 percent control
efficiencies do not necessarily represent
the wide range of unit types across the
universe of BART-eligible sources. An
analysis of the Department of Energy’s
U.S. FGD Installation Database supports
our belief that 95 percent removal
efficiencies would be obtainable by all
types of EGUs burning medium and
high sulfur coal by 2014, including
BART-eligible EGUs. In addition, we
note that the presumption does not limit
the States’ ability to consider whether a
different level of control is appropriate
in a particular case. If, upon
examination of an individual EGU, a
State determines that a different
emission limit is appropriate based
upon its analysis of the five factors, then
the State may apply a more or less
stringent limit.
Our analysis of presumptive BART
limits accounted for variations in
existing SO2 controls. We accordingly
considered (1) coal-fired EGUs without
58 Ibid.
59 Summary of BART Source Analyses,
Memorandum from Bill Balcke and Doran Stegura,
Perrin Quarles Associates, Inc., to Chad Whiteman,
EPA March 24, 2003. See 2001 emissions data in
BART AR file, attached.
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existing SO2 controls, and (2) coal-fired
EGUs with existing SO2 controls. This
analysis consisted of the following key
elements: (1) Identification of all
potentially BART-eligible EGUs, and (2)
technical analyses and industry research
to determine applicable and appropriate
SO2 control options, (3) economic
analysis to determine cost effectiveness
for each potentially BART-eligible EGU,
and (4) evaluation of historical
emissions and forecast emission
reductions for each potentially BARTeligible EGU.60
We identified 491 potentially BARTeligible coal-fired units based on the
following criteria: (1) The unit was put
in place between August 7, 1962 and
August 7, 1977, and (2) the unit had the
potential to emit more than 250 tons
annually of SO2. Our assessment of
potential controls included various
industry case studies, technical papers,
public comments, BACT analyses, and
historical Acid Rain emissions data. Our
analysis is described in detail in the
TSD.61
We calculated cost effectiveness and
projected SO2 emission reductions on a
per unit basis based on removal
efficiencies of 90 percent for dry FGD
systems, in particular spray dry lime
39133
systems, and 95 percent for wet FGD
systems, in particular limestone forced
oxidation systems. Based on our
analysis, the average cost effectiveness
for controlling all BART-eligible EGUs
greater than 200 MW without existing
SO2 controls was estimated to $919 per
ton of SO2 removed. Moreover, the
range of costs effectiveness numbers
demonstrates that the majority of these
units can meet the presumptive limits at
a cost of $400 to $2000 per ton of SO2
removed.
FIGURE 1
Unit capacity
(MW)
Tons (K) of SO2
emitted in 2001
<50 MW ...............................................................................
50–100 MW .........................................................................
100–150 MW .......................................................................
150–200 MW .......................................................................
200–250 MW .......................................................................
250–300 MW .......................................................................
>300 MW .............................................................................
All Units ................................................................................
BART Units (>200MW) ........................................................
In establishing presumptive BART
limits, we were cognizant of the fact that
upgrading an existing scrubber system is
typically considered more cost effective
than constructing a new scrubber
system. However, due to the diverse and
complex nature of upgrading existing
FGD systems (scrubber type, reagents,
online year, absorber characteristics,
current operating procedures, etc.),
there is no single solution or standard
appropriate for all EGUs. As a result, we
are not including specific numerical
presumptive limits for EGUs with preexisting scrubbers. However, for
scrubbers currently achieving removal
efficiencies of at least 50 percent, we
recommend States evaluate a range of
scrubber upgrade options available for
improving the SO2 removal performance
of existing units. There are numerous
scrubber enhancements available to
upgrade the average removal efficiencies
of all types of existing scrubber systems,
and the guidelines contains a discussion
of the options that States should
evaluate in making BART
determinations for EGUs with existing
scrubbers.
The guidelines do not require EGUs
with existing FGD systems to remove
26
93
171
235
253
281
5712
6707
6246
0.4
1.4
2.5
3.5
3.8
3.2
85.2
100
92.2
these controls and replace them with
new controls, but the guidelines do state
that coal fired EGUs with existing SO2
controls achieving removal efficiencies
of less than 50 percent should consider
constructing a new FGD system to meet
the presumptive limits of 95 percent
removal or 0.15 lb/mmBtu in addition to
evaluating the suite of upgrade options.
For these EGUs, the suite of available
‘‘upgrades’’ may not be sufficient to
remove significant SO2 emissions in a
cost effective manner, and States may
determine that these EGUs should be
retrofitted with new FGD systems.
c. BART Limits for SO2 From Oil-Fired
Units. We are not establishing a
presumptive BART limit for SO2 from
oil-fired EGUs. The guidelines state that
the most appropriate control option for
oil-fired EGUs, regardless of capacity, is
to set limits on the sulfur content of the
fuel oil burned in the unit.
Commenters suggested EPA evaluate
two primary control options for BART
oil-burning units: (1) Sulfur content fuel
oil limitations, and (2) flue gas
desulfurization systems. We have been
unable to find any FGD application in
the U.S. electric industry on an oil-fired
unit. As a result, our analysis for oil-
Calculated average cost effectiveness for MW
grouping
($/ton SO2 removed)
1962
2399
1796
1324
1282
1128
..............................
984
919
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Percent of estimated removable
BART SO2 emissions from coalfired units*
0.9
1.6
2.2
3.4
3.1
4.0
84.8
100
91.9
fired units focused on benchmarking
previously imposed fuel oil restrictions
on the electric industry and (2) a
regional economic analysis of switching
from high sulfur to low sulfur fuel oil.
Our study of currently imposed fuel
oil restrictions on the electric industry
suggested that all BART-eligible EGUs
currently have some sort of imposed
sulfur content or emission rate
limitation. Of the 74 BART-eligible oilburning EGUs, 32 currently have sulfur
fuel oil restrictions of less than 1
percent, and 67 have some sort of sulfur
content limitation. In addition, our
economic analysis suggests that
switching to low sulfur fuel oil is a cost
effective method in reducing SO2
emission from oil fired units.
As approximately 43 percent of the
BART eligible oil units currently have a
sulfur content limitation that is either
equivalent to, or more stringent than,
one percent sulfur by weight, the
guidelines require States to consider a
one percent or lower sulfur by weight
fuel oil restriction on all BART eligible
EGUs as part of their BART analysis,
and recommends that States establish
appropriate and sustainable sulfur
content fuel oil restrictions, taking into
61 Ibid.
60 Ibid.
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account fuel oil availability. States
should accordingly evaluate a one
percent sulfur content limitation as a
starting point of their BART
determination for oil-fired EGUs subject
to BART.
d. BART Presumptive Limits for NOX
From Coal-fired Units. In the 2004
reproposal, in discussing NOX controls
on EGUs, we explained that there are
two somewhat distinct approaches to
reducing emissions of NOX at existing
sources. One is to use combustion
controls (including careful control of
combustion air and low-NOX burners).
The other approach is removal
technology applied to the flue gas
stream (such as SCRs and SNCRs).
For EGUs currently using controls
such as SCRs or SNCRs to reduce NOX
during part of the year, we are
establishing a presumption that use of
these same controls year-round is
BART. (Some commenters supported
year-round operation of these controls.
One commenter suggested the cost of
year-round operation of SCRs would be
significant. However, our analysis
showed year-round operation of existing
SCRs compared to operation during the
5-month ozone season only to be highly
cost effective (average cost-effectiveness
of $170 per ton).) Although only a few
BART-eligible sources currently have
SNCRs installed, we note that States
may wish to consider SCR as an
alternative to annual operation of SNCR
in light of the relatively high operating
costs associated with SNCR.
For sources without post-combustion
controls (i.e., SCRs and SNCRs), we are
establishing a presumption as to the
appropriate BART limits for coal-fired
units based on boiler design and coal
type. These presumptions apply to
EGUs greater than 200 MW at power
plants with a generating capacity greater
than 750 MW and are based on control
strategies that are generally costeffective for all such units.
In 2004 we noted that, unlike the
methods for controlling SO2 (which fall
within a fairly narrow range of cost
effectiveness and control efficiencies),
the removal efficiencies and costs
associated with the control techniques
for NOX vary considerably, depending
on the design of the boiler and the type
of coal used. In response to comments
on the proposal, we have performed
additional analyses of all individual
BART-eligible coal-fired units 62 and our
analyses indicated that both cost
effectiveness and post-control rates for
NOX do depend largely on boiler design
and type of coal burned. Based on these
analyses, we believe that States should
carefully consider the specific NOX rate
limits for different categories of coalfired utility units, differentiated by
boiler design and type of coal burned,
set forth below as likely BART limits.
In today’s action, EPA is setting
presumptive NOX limits for EGUs larger
than 750 MW. EPA’s analysis indicates
that the large majority of the units can
meet these presumptive limits at
relatively low costs. Because of
differences in individual boilers,
however, there may be situations where
the use of such controls would not be
technically feasible and/or costeffective. For example, certain boilers
may lack adequate space between the
burners and before the furnace exit to
allow for the installation of over-fire air
controls. Our presumption accordingly
may not be appropriate for all sources.
As noted, the NOX limits set forth here
today are presumptions only; in making
a BART determination, States have the
ability to consider the specific
characteristics of the source at issue and
to find that the presumptive limits
would not be appropriate for that
source.
The table below indicates the types of
boilers installed at the 491 BARTeligible coal-fired EGUs. Dry-bottom
wall-fired boiler units and tangentiallyfired boiler units make up a large
majority of the total BART-eligible
EGUs.
TABLE 1.—POPULATION OF BART-ELIGIBLE COAL-FIRED EGUS
Number
Number
Number
All units
Units > 200 MW
Units > 200 MW
at 750 MW
plants
Boiler type
Cyclone ............................................................................................................................
Cell Burner .......................................................................................................................
Dry Bottom—Wall fired ....................................................................................................
Dry Bottom Turbo-fired ....................................................................................................
Stoker ...............................................................................................................................
Tangentially-fired .............................................................................................................
Wet Bottom ......................................................................................................................
Other ................................................................................................................................
56
35
188
14
5
186
6
1
35
35
121
10
0
164
5
0
19
29
77
4
0
112
5
0
Total BART-eligible coal-fired EGUs ........................................................................
491
370
246
For all types of boilers other than
cyclone units, the limits in Table 2 are
based on the use of current combustion
control technology. Current combustion
control technology is generally, but not
always, more cost-effective than postcombustion controls such as SCRs. For
cyclone boilers, SCRs were found to be
more cost-effective than current
combustion control technology;63 thus
the NOX limits for cyclone units are set
based on using SCRs. SNCRs are
generally not cost-effective except in
very limited applications and therefore
were not included in EPA’s analysis.
The types of current combustion control
technology options assumed include
low NOX burners, over-fire air, and coal
reburning.
We are establishing presumptive NOX
limits in the guidelines that we have
determined are cost-effective for most
units for the different categories of units
below, based on our analysis of the
expected costs and performance of
controls on BART-eligible units greater
than 200 MW. We assumed that coalfired EGUs would have space available
to install separated over-fire air. Based
on the large number of units of various
boiler designs that have installed
separated over-fire air, we believe this
assumption to be reasonable. It is
62 See Technical Support Document for BART
NOX Limits for Electric Generating Units and
Technical Support Document for BART NOX Limits
for Electric Generating Units Excel Spreadsheet,
Memorandum to Docket OAR 2002–0076, April 15,
2005.
63 The current combustion control technology
EPA analyzed for cyclone units is coal reburning.
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possible, however, that some EGUs may
not have adequate space available. In
such cases, other NOX combustion
control technologies could be
considered such as Rotating Opposed
Fire Air (‘‘ROFA’’). The limits provided
were chosen at levels that
approximately 75 percent of the units
could achieve with current combustion
control technology. The costs of such
controls in most cases range from just
over $100 to $1000 per ton. Based on
our analysis, however, we concluded
that approximately 25 percent of the
units could not meet these limits with
current combustion control technology.
However, our analysis indicates that all
but a very few of these units could meet
39135
the presumptive limits using advanced
combustion controls such as rotating
opposed fire air (‘‘ROFA’’), which has
already been demonstrated on a variety
of coal-fired units. Based on the data
before us, the costs of such controls in
most cases are less than $1500 per ton.
TABLE 2.—PRESUMPTIVE NOX EMISSION LIMITS FOR BART-ELIGIBLE COAL-FIRED UNITS 64
NOX presumptive
limit (lb/
mmbtu) 65
Unit type
Coal type
Dry-bottom wall-fired .................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Lignite .......................................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Lignite .......................................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Bituminous ................................................................................
Tangential-fired .........................................................................
Cell Burners ..............................................................................
Dry-turbo-fired ...........................................................................
Wet-bottom tangential-fired ......................................................
0.39
0.23
0.29
0.28
0.15
0.17
0.40
0.45
0.32
0.23
0.62
TABLE 3.—AVERAGE COST-EFFECTIVENESS OF NOX CONTROLS FOR BART-ELIGIBLE COAL-FIRED UNITS
Number units
nation-wide
Unit type
Coal type
Dry-bottom wall-fired .................................................
Bituminous ...............................................................
Sub-bituminous ........................................................
Lignite .......................................................................
Bituminous ...............................................................
Sub-bituminous ........................................................
Lignite .......................................................................
Bituminous ...............................................................
Sub-bituminous ........................................................
Bituminous ...............................................................
Sub-bituminous ........................................................
Bituminous ...............................................................
All .............................................................................
Tangential-fired .........................................................
Cell Burners ..............................................................
Dry-turbo-fired ...........................................................
Wet-bottom ................................................................
Cyclones (with SCR) .................................................
114
66
3
105
72
9
32
3
7
7
6
56
National average
($/ton)
1229
576
1296
567
281
614
1287
1021
775
599
378
900
The advanced combustion control
technology we used in our analysis,
ROFA, is recently available and has
been demonstrated on a variety of unit
types. It can achieve significantly lower
NOX emission rates than conventional
over-fire air and has been installed on
a variety of coal-fired units including Tfired and wall-fired units. We expect
that not only will sources have gained
experience with and improved the
performance of the ROFA technology by
the time units are required to comply
with any BART requirements, but that
more refinements in combustion control
technologies will likely have been
developed by that time. As a result, we
believe our analysis and conclusions
regarding NOX limits are conservative.66
For those units that cannot meet the
presumptive limits using current
combustion control technology, States
should carefully consider the use of
advanced combustion controls such as
ROFA in their BART determination.
A detailed discussion of our analysis
is in the docket.67 For data on emissions
and existing control technology in use at
the BART-eligible EGUs, we used EPA’s
Clean Air Markets Division database.68
C. Selective Catalytic Reduction (‘‘SCR’’)
and Cyclone Units
We also analyzed the installation of
SCRs at BART-eligible EGUs, applying
SCR to each unit and fuel type. The
cost-effectiveness was generally higher
than for current combustion control
technology except for one unit type,
cyclone units. Because of the relatively
high NOX emission rates of cyclone
units, SCR is more cost-effective. Our
analysis indicated that the costeffectiveness of applying SCR on coalfired cyclone units is typically less than
$1500 a ton, and that the average cost-
64 No Cell burners, dry-turbo-fired units, nor wetbottom units burning lignite were identified as
BART-eligible, thus no presumptive limit was
determined. Similarly, no wet-bottom units burning
sub-bituminous were identified as BART-eligible.
65 These limits reflect the design and
technological assumptions discussed in the
technical support document for NOX limits for
these guidelines, e.g., EPA assumed space would be
available for over-fire air. See Technical Support
Document for BART NOX Limits for Electric
Generating Units and Technical Support Document
for BART NOX Limits for Electric Generating Units
Excel Spreadsheet, Memorandum to Docket OAR
2002–0076, April 15, 2005.
66 See Technical Support Document for BART
NOX Limits for Electric Generating Units and
Technical Support Document for BART NOX Limits
for Electric Generating Units Excel Spreadsheet,
Memorandum to Docket OAR 2002–0076, April 15,
2005.
67 Id.
68 Reporting requirements for the Acid Rain
Program and NOX SIP Call affected sources, see 40
CFR 75 subpart G (parts 7562–64), and EPA Clean
Air Markets Division Web site, data and maps page
(https://www.epa.gov/airmarkets).
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effectiveness is $900 per ton.69 As a
result, we are establishing a
presumptive NOX limit for cyclone units
based on the use of SCR. For other units,
we are not establishing presumptive
limits based on the installation of SCR.
Although States may in specific cases
find that the use of SCR is appropriate,
we have not determined that SCR is
generally cost-effective for BART across
unit types.
Oil and Gas-Fired Units
For oil-fired and gas-fired units, we
believe that installation of current
combustion control technology is highly
cost-effective and should be considered
in determining BART for these sources.
We performed an analysis of BARTeligible oil and gas-fired units similar to
the analysis done for coal-fired units.
Our analysis indicated that a number of
units can make significant reductions in
NOX emissions which are cost-effective
through the application of current
combustion control technology.70
However, for a number of units, the use
of combustion controls does not appear
to be cost-effective. As a result, we
determined that it would be
inappropriate to establish a general
presumption regarding likely BART
limits. As a result, the guidelines only
indicate that States should consider the
installation of current combustion
control technology on oil and gas-fired
units.
IV. How Does Today’s Rule Affect
States Options for Using Alternative
Strategies in Lieu of Source-by-Source
BART?
Background
Over the past several years, there have
been a number of rule makings and
court decisions on the subject of BART
and BART-alternative programs. In
order to understand today’s actions, it is
useful to again review the regulatory
and litigation history, with a specific
focus on BART-alternative issues.
As noted in part I of this preamble,
the 1999 regional haze rule included
provisions for BART, codified at 40 CFR
51.308(e), and in definitions that appear
in 40 CFR 51.301. Among these
provisions was section 308(e)(2),
allowing States to implement cap and
trade programs, or other alternative
programs, in lieu of BART. Section
308(e)(2) provided that trading program
alternatives must be demonstrated to
69 See Technical Support Document for BART
NOX Limits for Electric Generating Units and
Technical Support Document for BART NOX Limits
for Electric Generating Units Excel Spreadsheet,
Memorandum to Docket OAR 2002–0076, April 15,
2005.
70 Id.
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achieve greater reasonable progress than
BART, and provided the general
parameters for making this
demonstration. Of particular relevance,
section 308(e)(2) directed States, in the
course of estimating emissions
reductions anticipated from source-bysource BART, to determine what
comprises BART based on the four nonvisibility factors, and then estimate
visibility improvements based on the
application of BART to all sources
subject to BART. In other words, section
308(e)(2) indicated that states should
use what has since been termed a
‘‘group BART’’ approach to estimating
the source-by-source BART benchmark,
for comparison to the alternative
program. Section (e)(2) did not prescribe
the specific criteria to be used to
compare the progress estimated from
source-by-source BART to that
anticipated from the trading program.
The preamble discussion indicated that
the comparison should be based on both
emission reductions and visibility
improvement, but did not provide
further specificity. See 64 FR at 35741–
35743.
Specific criteria for making the
comparison to programs was proposed
in the BART Guidelines (40 CFR 51
App. Y) in 2001. These criteria—
sometimes referred to as the ‘‘betterthan-BART test’’ consist of the
following. First, if the geographic
distribution of emissions reductions
from the two programs is expected to be
similar, the comparison can be made
based on emissions alone. Second, if the
distribution of emissions reductions is
anticipated to be significantly different,
then a two-pronged visibility
improvement test is employed. The first
prong is that the alternative program
must not result in a degradation of
visibility at any Class I area. The second
prong is that the alternative program
must result in greater visibility
improvement overall, based on an
average across all affected Class I areas.
See 66 FR 38133.
In 2002, the D.C. Circuit decided
American Corn Growers. The court in
that decision invalidated ‘‘the BART
provisions’’ on the basis that EPA had
improperly constrained State authority
by requiring them to bifurcate visibility
from the other statutory factors when
making BART determinations, and by
specifying that visibility impairment
should be considered on a group basis
when determining whether a BART
eligible source is subject to BART. 291
F.3d 1, 8.
Because EPA’s policy of allowing
alternative programs to BART was not at
issue in American Corn Growers, the
decision contained no discussion of
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how such alternative programs would
be compared to BART—neither the step
of estimating emissions from source-bysource BART, nor the criteria for the
actual comparison (i.e., the test).
Therefore, EPA interpreted the court’s
vacature of the BART provisions to
apply to the source-by-source BART
regulations under 40 CFR 51.308(e)(1).
Accordingly, in our May 2004
reproposal of the BART guidelines, we
did not propose any changes in section
308(e)(2), and we retained the section
on trading programs in the guidelines
(Appendix Y) as that section was
proposed in 2001.
In June 2004, in the Supplemental
Notice of Proposed Rulemaking (SNPR)
for the Clean Air Interstate Rule (CAIR),
we proposed to conclude that the CAIR
will achieve greater reasonable progress
than would BART for SO2 and NOX at
BART-eligible EGUs in CAIR affected
States and therefore may be treated as a
program in lieu of BART for those
sources. In doing so, we discussed
regional haze rule section 308(e)(2) as
precedent for the policy of allowing
trading programs to substitute for
BART.71 However, noting that the CAIR
trading program affected only one
category of BART-eligible sources
(EGUs), rather than all BART-eligible
categories as envisioned for Statedeveloped BART-alternative programs
under section 308(e)(2), we proposed
adding a 308(e)(3) applicable only to
CAIR. This section would provide that
states that comply with the CAIR by
subjecting EGUs to the EPA
administered cap and trade program
may consider BART satisfied for NOX
and SO2 from BART-eligible EGUs. In
the CAIR SNPR and supporting
documentation,72 we provided analyses
demonstrating that CAIR would achieve
greater emission reductions than BART,
and would make greater reasonable
progress according to the two-pronged
visibility test previously proposed in the
BART guidelines.
In February 2005, in CEED v. EPA, the
D.C. Circuit invalidated a BARTalternative program developed by the
Western Regional Air Partnership
(WRAP), which was also based on a
requirement of group-BART analysis in
setting source-by-source benchmark. It
is important to note that the twopronged better-than-BART test was not
71 Section 308(e)(2) was based, in turn, on the
precedent set by our interpretation of CAA
169A(b)(2) in a single BART-source context—see 64
FR 35739, citing Central Arizona Water
Conservation District, 990 F.2d 1531 (1993).
72 ‘‘Supplemental Air Quality Modeling
Technical Support Document (TSD) for the Clean
Air Interstate Rule (CAIR), May, 2004.’’ https://
www.epa.gov/cair/pdfs/saqmtsd.pdf.
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at issue in CEED, as neither the States
nor EPA had employed that test in
determining that the WRAP’s program
achieved greater progress than BART.
The issue on which the court based its
decision was not how the two programs
were compared, but how States were
required to estimate reductions from
source-by-source BART in order to make
the comparison. The implications of this
case to today’s action are discussed in
more detail below.
Finally, on March 10, 2005 we
promulgated the final CAIR. In the final
CAIR, we presented refined and
updated analyses continuing to show
that CAIR makes greater progress than
BART. We concluded at that time that
we should defer a final ‘‘better than
BART’’ determinations until (1) the
source-by-source BART guidelines for
EGU were promulgated, and (2) the
criteria for comparing alternatives to
BART were also finalized. We are taking
both of those actions today, and, as
explained below, are therefore also
making our final determination that
CAIR achieves greater progress than
BART and may be used by States as a
BART substitute.
Final Criteria for Comparing Visibility
Progress of an Alternative Program to
BART
Proposed Rule. As noted, the criteria
for determining if an alternative
measure achieves greater reasonable
progress than BART (also known as the
‘‘better than BART’’ test or the twopronged visibility test) were first
proposed in the 2001 BART guideline
proposal and reproposed in the
identical form in the 2004 BART
guidelines reproposal. The test appeared
as an element of the guideline’s
overview of the steps involved in
developing a trading program consistent
with regional haze rule section
308(e)(2).
Specifically, the guidelines provided
that States could first look at the
geographic distribution of emissions
under the trading program. ‘‘If [the]
distribution of emissions is not
substantially different than under
BART, and greater emissions reductions
are achieved, then the trading program
would presumptively achieve ‘‘greater
reasonable progress.’’ (69 FR at 25231).
If the distribution of emissions is
expected to be different, then States are
directed to conduct an air quality
modeling study. The guidelines then
provide that
‘‘[t]he modeling study would demonstrate
‘‘greater reasonable progress’’ if both of the
following two criteria are met:
—Visibility does not decline in any Class I
area, and
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—Overall improvement in visibility,
determined by comparing the average
differences over all affected Class I areas
Comments Received
Several commenters stated that the
trading criteria contained in the
proposed BART guidelines were, along
with other parts of the guidelines,
beyond EPA’s authority to impose under
the CAA.
Several State commenters asked for
clarification of what should be
considered a significantly different
geographic distribution of emission
reductions, for purposes of proceeding
to the two-pronged visibility test.
One comment, submitted by
environmental groups in response to our
preliminary application of the twopronged test to the CAIR in the CAIR
rulemaking, goes to the permissibility of
that test in general and is therefore
relevant to the finalization of the test.
Specifically, these commenters stated
that because section 169A(b)(2)(A)
requires BART for an eligible source
which may reasonably be anticipated to
cause or contribute to any impairment
of visibility in any Class I area, EPA is
without basis in law or regulation to
base a better-than-BART determination
on an analysis that uses averaging of
visibility improvement across different
Class I areas.
Final Action. We are amending the
regional haze rule to incorporate the
two- prong visibility test as it was
previously proposed in the BART
guideline proposals. Specifically, we are
adding the test to the rule provisions at
section 51.308(e)(3).
The EPA has the authority to
prescribe this methodology under its
general rulemaking authority provided
by CAA section 301(a), and under CAA
sections 169A(4) and 169(e). The latter
provisions require EPA to promulgate
regulations to assure reasonable
progress towards the national visibility
goal and to assure compliance with the
requirements of section 169A, which
include the requirements for BART
under section 169A(b)(2)(A), and to
promulgate such measures as may be
necessary to carry out these regulations.
The EPA has determined that source-bysource BART need not be required when
it is not necessary to meet reasonable
progress because greater progress can be
achieved by an alternative means. The
D.C. Circuit in CEED upheld this
interpretation of the BART provisions’
relationship to the broader reasonable
progress requirements of the Act. 398
F.3d at 660. In order to assure that such
alternative programs meet the
reasonable progress goals of the CAA,
EPA has the authority, and perhaps a
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39137
duty, to promulgate regulations
governing how that determination is
made.
Moreover, these requirements for
making the ultimate comparison
between an alternative program and
BART do not affect in any way how
states make BART determinations or
how they determine which sources are
subject to BART. It is in those areas
where the Act and legislative history
indicate that Congress evinced a special
concern with insuring that States would
be the decision makers. Nothing in
American Corn Growers or CEED
suggests that those cases rendered EPA’s
rulemaking authority under section
169A(a)(4) completely inoperable in any
BART context.
With respect to the use of average
overall improvement, we explained in
the CAIR NFR preamble that we
disagree with comments that CAA
section 169A(b)(2)’s requirement of
BART for sources reasonably
anticipated to contribute to impairment
at any Class I area means that an
alternative to the BART program must
be shown to create improvement at each
and every Class I Area. Even if a BART
alternative is deemed to satisfy BART
for regional haze purposes, based on
average overall improvement as
opposed to improvement at each and
every Class I Area, CAA section
169A(b)(2)’s trigger for BART based on
impairment at any Class I area remains
in effect, because a source may become
subject to BART based on ‘‘reasonably
attributable visibility impairment’’ at
any area. See 40 CFR 51.302. In
addition, within a regional haze context,
not every measure taken is required to
achieve a visibility improvement at
every class I area. BART is one
component of long term strategies to
make reasonable progress, but it is not
the only component. The requirement
that the alternative achieves greater
progress based on the average
improvement at all Class I areas assures
that, by definition, the alternative will
achieve greater progress overall. Though
there may be cases where BART could
produce greater improvement at one or
more class I areas, the no-degradation
prong assures that the alternative will
not result in worsened conditions
anywhere than would otherwise exist,
and the possibility of BART for
reasonably attributable visibility
protects against any potential ‘‘hot
spots.’’ Taken together, the EPA believes
these factors make a compelling case
that the proposed test properly defines
‘‘greater reasonable progress.’’ The EPA
anticipates that regional haze
implementation plans will also contain
measures addressing other sources as
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necessary to make progress at every
mandatory Federal Class I area.
We are therefore finalizing the test
criteria in the same form in which they
were proposed as part of the BART
guidelines. We also recognize that the
test criteria leave some terms and
conditions undefined, and we believe
States and Tribes should retain the
discretion to reasonably interpret and
apply these terms as appropriate to the
context of the particular program at
issue.
First, in the proposed test we did not
specify the time period which should
serve as the starting point for
comparison under the first prong. That
is, we did not specify whether potential
degradation should be determined in
relation to visibility conditions existing
at the time of the proposed program, or
in relation to base case visibility
projections for the time of program
implementation. While either option is,
we believe, reasonable, in this
rulemaking we have used the future
projected base case, for the following
reasons.
The underlying purpose of both
prongs of the test is to assess whether
visibility conditions at Class I areas
would be better with the alternative
program in place than they would
without it. The first prong ensures that
the program does not cause a decline in
visibility at any particular Class I area.
It addresses the possibility that the
alternative program might allow local
increases in emissions which could
result in localized degradation. The
second prong assesses whether the
alternative program produces greater
visibility improvement in the aggregate
than would source specific BART.
In both cases, the logical reference
point is visibility conditions as they are
expected to be at the time of program
implementation but in the absence of
the program. This insures that the
visibility improvements or degradations
determined are due to the programs
being compared—source-specific BART
and the cap-and-trade alternative—and
not to other extrinsic factors. For
example, if large increases in wild land
fires are expected, due to accumulation
of fuel from past forest management
practices, a degradation of visibility
from current conditions may be
expected. It would be irrational to
disapprove an alternative program
because of a modeled degradation from
current conditions, where that
degradation is actually anticipated
because of smoke from such fires—
sources which are not subject to the
CAA BART provisions. By comparing
the alternative to future projected
baseline conditions, such extrinsic
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variables are accounted for. We are thus
able to ascertain (to the extent possible
where future projections are concerned)
whether visibility under the alternative
would decline at any Class I area, all
other things being equal.
Therefore, in applying the test to the
CAIR, we used the future (2015)
projected baseline. We believe,
however, that States should have
discretion in determining the most
appropriate baseline for this prong of
the test, as long as the State’s method is
reasonable.
Second, although the proposed test
indicated that dispersion modeling
should be used to determine visibility
differences for the worst and best 20
percent of days, the guideline did not
specify the relationship between the
worst and best days and the two prongs
of the test. We believe that each prong
of the test should ideally be based on an
examination of both the worst and best
20 percent of days. Thus, under the first
prong, visibility must not decline at any
one Class I area on either the best 20
percent or the worst 20 percent days 73
as a result of implementing the
alternative program; and, under the
second prong both the best and worst
days should be considered in
determining whether the alternative
program produces greater average
improvement.
Third, the proposed guidelines did
not define ‘‘affected’’ Class I areas for
purposes of the comparison. In applying
the test to the CAIR, we considered all
federal mandatory Class I areas in the
contiguous 48 States for which data was
available. The principal Class I areas
affected by the CAIR are those in the
eastern U.S., therefore we calculated
average improvement separately for the
eastern areas, but also considered affects
at all Class I areas nationally. We
believe this was appropriate for a
federally mandated program of the
scope and magnitude of the CAIR.
However, this may not be necessary for
every BART-alternative program
developed by States in the future,
especially if proposed programs are
73 The regional haze rule requires States to
establish reasonable progress goals for each Class I
area that provide for improvement in visibility for
the most impaired days and ensure no degradation
in visibility for the most impaired days. The
reasonable progress test in the regional haze rule
remains as a separate test from better than BART.
The SIPs must contain measures to achieve the
reasonable progress goal; such measures could
include not only stationary source programs such
as BART but also programs to address emissions
from other types of sources. The no degradation (on
the 20 percent best days) component of the
reasonable progress test must still be applied to the
final future year emissions control strategy. This
does not directly impact the conclusions of the
better than BART test.
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limited to smaller geographic areas or
are limited to source categories having
significantly less widespread impacts
than EGUs. In such circumstances, it
may be reasonable for the States and
Tribes involved to develop criteria for
‘‘affected’’ Class I areas. For example,
the affected region could be considered
to be the States and Tribes involved in
the trading program as well as
immediately adjacent States, or Class I
areas within adjacent States that are
within some defined distance of
participating States.
With respect to comments on the
degree of difference in the geographic
distribution of emissions necessary to
trigger application of the two prong test,
we believe it is not necessary for EPA
to define that in the rule. For our CAIR
analysis, we explained in the SNPR that
the fact that CAIR would produce
greater emissions reductions than BART
in most States, but less reductions than
BART in a few States, was sufficient
reason to employ the two pronged
visibility test, 69 FR 32704. For other
programs developed by States, a State
would have the ability to make a
reasonable decision as to whether there
was a sufficient basis to make the
demonstration that an alternative
program would be better than BART
based on modeling of the emissions
distributions alone, or whether the State
should proceed with the two-pronged
visibility test. The State’s discretion is
subject as always to the condition that
it must be reasonably exercised, and
must be supported by adequate
documentation of the analyses.
Finally, on a related issue, we note
that in a separate rule making to follow
soon after today’s action, we will be
soliciting comments on whether there
might be other means of demonstrating
that an alternative program makes
greater reasonable progress than BART,
in addition to the two-pronged visibility
test we are finalizing in today’s action.
Such other means might take into
account additional policy
considerations, as well as the relative
degree of visibility improvement of the
two programs.
C. Final Determination That CAIR
Makes Greater Reasonable Progress
Than BART
Proposal. As noted in the background
section above, in both the CAIR SNPR,
and NFR, we discussed the proposed
approach of allowing States to treat
CAIR as an in-lieu-of BART program for
EGUs in CAIR-affected States. In both
actions, we presented analyses based on
emission projections and air quality
modeling showing that CAIR will
achieve greater reasonable progress
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towards the national visibility goal than
would BART for affected EGUs. These
analyses were conducted according to
the criteria for making such ‘‘better than
BART’’ determinations which had been
proposed in the BART guidelines, and
which have now been finalized in the
regional haze rule at 40 CFR
51.308(e)(3), as discussed above in
section IV.B. Below, we briefly recap
these prior analyses. See 69 FR 32684,
32702–32707 and 70 FR 25162, 25299–
25304 and associated Technical Support
Documents 74 for full details.
Scenarios Examined
The CAIR is applicable to 28 States
and the District of Columbia and
requires levels of SO2 and NOX
emissions reductions based on those
achievable on a highly cost effective
basis from EGUs. BART, on the other
hand, is applicable nationwide and
covers 25 additional industrial
categories, as well as EGUs, of a certain
vintage. In our comparison, we sought
to determine whether the CAIR cap and
trade program for EGUs will achieve
greater reasonable progress than would
BART for EGUs only. Therefore, the
relevant scenarios to examine were (1)
SO2 and NOX emissions from all EGUs
nationwide after the application of
BART controls to all BART-eligible
EGUs (‘‘nationwide BART’’), and (2)
SO2 and NOX emissions from all EGUs
nationwide after the emissions
reductions attributable to CAIR in the
CAIR region and application of BART
controls to all BART-eligible EGUS
outside the CAIR region (‘‘CAIR +
BART’’). The latter scenario reflects the
fact that source-by-source BART would
remain a federal requirement outside
the CAIR region, unless and until it is
replaced by some other state or federally
required program. Thus, in order to
more accurately project CAIR emissions,
it is necessary to impose BART controls
outside the CAIR region, to account for
potential load and emission shifting
among EGUs.
In addition to these two scenarios, a
third was used—the future base case in
the absence of either program. This
third scenario was used to ensure that
CAIR would not cause degradation from
otherwise existing conditions. See
section IV.B above for a discussion of
why the future baseline is an
appropriate comparison point for the
first prong of the ‘‘better than BART’’
test.
At the SNPR stage, a ‘‘CAIR + BART’’
scenario was not available, as the only
projections available at that time had
39139
been developed for other purposes.
Thus, the ‘‘CAIR’’ scenario used then,
which was based on the Clear Skies
proposal, was imperfect for purposes of
this analysis in that it assumed SO2
reductions on a nationwide basis (rather
than in the CAIR region only) and
assumed NOX reductions requirements
in a slightly different geographic region
than covered by the proposed CAIR.
For the CAIR NFR, we redid the
emissions projections for both the
Nationwide BART and CAIR + BART in
the West scenarios. For the former, we
increased the number of BART-eligible
units included by lowering the assumed
threshold for BART applicability from
250 MW capacity for both NOX and SO2
to 100 MW for SO2 and 25 MW for NOX,
and by reviewing the list of potentially
BART-eligible EGUs. For the latter
scenario, we produced emissions
projections based on application of
CAIR-level emission reductions in the
States proposed for inclusion in the
CAIR in the SNPR.
Emission Projections. For the analyses
in both the SNPR and NFR, we used the
Integrated Planning Model (IPM) to
estimate emissions expected from the
scenarios described above. Tables 1 and
2 present the results from the SNPR and
NFR, respectively.
TABLE 1.—EGU SO2 AND NOX EMISSIONS—AS PROJECTED IN CAIR SNPR
[In thousands of tons per year]
2015 Base case
EGU emissions
Nationwide SO2 ...............................................................................
Nationwide NOX ...............................................................................
2015 ‘‘CAIR’’
9,081
3,950
2015 Modeled
nationwide e Bart
Additional reduction from ‘‘CAIR’’
(nationwide
BART minus
‘‘CAIR’’)
7,012
2,781
1,752
533
2015 Nationwide
BART
Additional reduction from CAIR +
BART (nationwide BART
minus
CAIR+BART)
7,162
2,454
2,427
638
5,260
2,248
TABLE 2.—EGU SO2 AND NOX EMISSIONS—AS PROJECTED IN CAIR NFR
[In thousands of tons per year]
2015 Base case
EGU emissions
Nationwide SO2 ...............................................................................
Nationwide NOX ...............................................................................
2015 CAIR +
BART
9,084
3,721
4,735
1,816
As can be seen in the numbers in the
right-most column, CAIR produced far
superior emission reductions to
nationwide BART, and the superiority
of CAIR over BART increased between
the SNPR and NFR projections, when
the scenarios were corrected to more
accurately reflect the anticipated reality
in 2015.
Air Quality Modeling Results. The
proposed ‘‘better-than-BART’’ test
provided that if the distribution of
emission reductions is substantially the
same under the alternative program as
under BART, then the demonstration
can be made simply by comparing
emission reductions. If, however, the
distribution is significantly different,
74 Supplemental Air Quality Modeling Technical
Support Document (TSD) for the Clean Air
Interstate Rule (CAIR), May, 2004. https://
www.epa.gov/cair/pdfs/saqmtsd.pdf; Demonstration
that CAIR Satisfies the ‘Better-than-BART’ Test as
proposed in the Guidelines for Making BART
Determinations, EPA Docket Number OAR–2003–
0054–YYYY, March 2005. https://www.epa.gov/cair/
pdfs/finaltech04.pdf.
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then visibility modeling is required in
order to apply the two pronged test
previously described. As noted above,
CAIR emission reductions were vastly
greater than those under BART.
However, because there were some
differences in the geographic
distribution of reductions on a state-bystate basis, in order to be conservative
we conducted air quality modeling and
evaluated CAIR under the two pronged
test.
Specifically, using the above
emissions projections, we completed
numerous air quality modeling runs and
postprocessing calculations to
determine the impacts of emissions and
emissions control strategies on visibility
in Class I areas. We quantified the
impacts of the CAIR and BART controls
on visibility impairment by comparing
the results of the future-year (2015) base
case model runs with the results of the
CAIR + BART and nationwide BART
control strategy model runs. We
quantified visibility impacts on the 20
percent best and 20 percent worst
visibility days.
For the SNPR modeling, we used the
Regional Modeling System for Aerosols
and Deposition (REMSAD) model to
calculate these visibility impacts. This
modeling used base year meteorology
from 1996. Complete year ambient
monitoring data, which is necessary to
model future improvements in
visibility, was available for 1996 from
Inter-agency Monitoring of Protected
Visual Environments (IMPROVE)
monitors located at 44 Class I areas—13
within the CAIR region and 31 outside
of it.
For the NFR modeling, we used the
Community Multiscale Air Quality
(CMAQ) model. The base year
meteorology used in the CMAQ
modeling was 2001. This later base year
enabled us to look at more Class I areas,
because there were more IMPROVE
monitors which had complete year data
for 2001 than there had been in 1996.
Specifically, 81 of the 110 IMPROVE
sites have complete ambient air quality
data for 2001. Moreover, because in
some cases a given IMPROVE monitor is
designated as representing more than
one Class I area, these 81 sites are
representative of 116 Class I areas.
Twenty nine of the 116 are in the East
(east of 100 degrees longitude) and 87
are in the West.
Using the modeling results, we then
applied the two prong better than BART
test which had been defined in the
proposed BART rule. As explained
above, under the first prong, visibility
must not decline at any Class I area, as
determined by comparing the predicted
visibility impacts at each affected Class
I area under the (CAIR) trading program
with future base case visibility
conditions. Under the second prong,
overall visibility, as measured by the
average improvement at all affected
Class I areas, must be better under the
trading program than under sourcespecific BART. The future year air
quality modeling results were used to
make this demonstration.
The visibility impacts of the CAIR +
BART scenario were compared to base
case 2015 visibility conditions (without
CAIR or BART) to determine whether
the CAIR resulted in a degradation of
visibility at any Class I area. We also
compared these visibility impacts with
the visibility impacts of nationwide
BART implementation, to assess
whether the proposed CAIR would
result in greater average visibility
improvement than nationwide BART.
The CAIR passed the first prong by
not causing a degradation of visibility at
any Class I area, either in the West or
nationally. This was true in both the
SNPR and NFR modeling. The visibility
projections for each Class I area are
presented in the respective TSD’s.75
The overall results are presented in
tables 3 and 4 below, representing the
SNPR and NFR modeling respectively.
TABLE 3.—AVERAGE VISIBILITY IMPROVEMENT IN 2015 VS. 2015 BASE CASE (DECIVIEWS) AS MODELED USING REMSAD
IN CAIR SNPR
‘‘CAIR’’ Scenario
Nationwide BART
Class I areas
East 76
20 percent Worst Days ....................................................................................
20 percent Best Days ......................................................................................
National
2.0
0.7
East
0.7
0.2
National
1.0
0.4
0.4
0.1
TABLE 4.—AVERAGE VISIBILITY IMPROVEMENT IN 2015 VS. 2015 BASE CASE (DECIVIEWS) AS MODELED USING CMAQ IN
CAIR NFR
CAIR + BART in West
Nationwide BART
Class I Areas
East 76
20 percent Worst Days ....................................................................................
20 percent Best Days ......................................................................................
As can be see from the tables,
although the models produced different
absolute values, in both cases CAIR
produced significantly greater visibility
improvement than nationwide BART.
For example, looking at the 20 percent
worst days at Eastern Class I areas (the
areas most influenced by the CAIR,
since it is an eastern program), in both
cases the visibility improvements from
75 See
19:24 Jul 05, 2005
1.6
0.4
East
0.5
0.1
National
0.7
0.2
0.2
0.1
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CAIR were at least twice as great as
under nationwide BART (i.e., in the
SNPR, 2.0 deciviews compared to 1.0
deciviews improvement, and in the
NFR, 1.6 deciviews compared to 0.7
deciviews improvement).
This historical overview is given in
the interest of providing a more
complete understanding of the analyses
presented at various stages in the CAIR
rule making progress. In the end,
however, it is the analyses presented in
the CAIR NFR on which we are basing
our determination that CAIR makes
greater reasonable progress towards the
national visibility goals than does
nationwide BART. Therefore, these NFR
results are examined more closely in the
‘‘Final Action’’ section below, in light of
additional emissions projections we
76 Eastern Class I areas are those in the CAIR
affected states, except areas in west Texas which are
Footnote [74], Supra.
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considered western and therefore included in the
national average, plus those in New England
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have conducted to insure that changes
to the CAIR and BART rules made
subsequent to the CAIR NFR do not
affect that determination.
Comments Received and EPA’s
Responses
Although many comments were
received regarding our proposal to
determine that CAIR makes greater
reasonable progress than BART, nearly
all of them related either to the terms of
the test itself, or to policy and legal
implications of allowing CAIR required
reductions to substitute for source-bysource BART. These are addressed in
sections B (above ) and D (below)
respectively. One commenter asserted,
with respect to modeling presented in
the SNPR, that the improvement of
CAIR compared to source-specific BART
is so slight it may be potentially within
the margin of error, and therefore
insufficient for the better than BART
demonstration, or for assuring that no
hot spots will occur.
The EPA disagrees that the difference
between CAIR and BART in the SNPR
visibility projections was not
significant. The visibility results
presented in the NFR continue to show
that the CAIR cap and trade program
with BART in the non-CAIR region
provides considerably more visibility
improvement compared to nationwide
BART (for EGUs only). The NFR
modeling results show that the average
visibility improvement from CAIR on
the 20 percent worst days at 29 Eastern
Class I areas is 1.6 deciviews (dv)
compared to only a 0.7 dv improvement
from nationwide BART controls. In the
‘‘better than BART’’ TSD we have
provided modeling results for 116
individual Class I areas. The modeling
shows that CAIR will not create any
‘‘hot spots.’’ On the 20 percent worst
days, all of the Eastern Class I areas
show more visibility improvement
under CAIR+BART than under BART
alone. In many of the Western Class I
areas, nationwide BART and CAIR +
BART in the West provide about the
same visibility benefits. (This is to be
expected, since the CAIR is only
applicable in the East.) While the
visibility benefits are similar in the West
(outside of the CAIR region), they are
clearly not similar in the East, where the
CAIR is predicted to achieve twice as
much visibility improvement compared
to BART.
Final action. The CAIR vs. BART
comparison presented in the CAIR NFR
was developed while both rules were
under development and therefore
subject to change. Since the emissions
projections and air quality modeling
presented in the CAIR NFR was
completed, several changes were, in
fact, made to the CAIR region. In
addition, since that time our
assumptions regarding the likely
maximum BART emission reductions
from EGUs also changed. Therefore, we
recalculated the emission projections to
see if the rule changes could possibly
affect the determination that CAIR will
achieve greater reasonable progress than
BART.
Most significantly, the final CAIR
included Arkansas, Delaware, and New
39141
Jersey only for purposes of significant
contribution to ozone non-attainment by
summertime NOX emissions, whereas
our modeling had been based on the
assumption that these States would be
included for contribution to PM2.5 nonattainment by SO2 and NOX emissions.
The new emission projections are based
on the application of CAIR only for
ozone in these States.
With respect to the nationwide BART,
for SO2 the NFR projections assumed
the application of a 90 percent control
or 0.10 lbs/mmBtu at uncontrolled
EGUs greater than 100 MW. In the new
projections, the control assumptions
were changed to 95 percent or 0.15 lbs/
mmbtu, to reflect the presumptive
control levels in the final BART
guidelines. For NOX, the NFR
projections were based on an assumed
emission rate of 0.2 lbs/mmBTU at all
BART eligible EGUs nationwide. The
new projections are based on the
assumption of combustion controls on
all BART eligible units except cyclones
which have SCR, and the operation of
all existing SCR and SNCRs annually,
instead of just in the ozone season.
Finally for both pollutants, the
threshold for application of controls was
increased to 200 MW, to better reflect
the presumptions included in the final
BART guidelines.
We used IPM to project 2015
emissions given these new parameters.
The results are presented in Table 5
below, which also includes the CAIR
NFR projections (as reported in Table 2)
for the reader’s convenience.
TABLE 5.—EGU SO2 AND NOX EMISSIONS—AS PROJECTED IN CAIR NFR AND AS PROJECTED IN SUBSEQUENT UPDATE
(In thousands of tons per year)
2015 CAIR +
BART
CAIR NFR:
Nationwide SO2
Nationwide NOX
Updated Projections:
Nationwide SO2
Nationwide NOX
........................................................................................................
.......................................................................................................
4,735
1,816
7,162
2,454
2,427
638
........................................................................................................
.......................................................................................................
5,042
2,000
7,953
2,738
2,911
738
The updated emissions estimates for
both the BART and CAIR with BART in
the West scenarios are slightly higher
than the NFR emissions estimates, but
the difference between the CAIR +
BART and nationwide BART scenarios
are even larger compared to the NFR
determination. For SO2, the updated
CAIR + BART achieves about 2.9
million tons more reductions than
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2015 Nationwide
BART
Additional reduction from CAIR +
BART (nationwide BART
minus
CAIR+BART)
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updated nationwide BART in 2015. For
NOX, the updated CAIR + BART policy
is projected to result in about 738,000
tons more emissions reductions than the
updated BART nationwide policy in
2015. The difference between the
updated CAIR + BART and nationwide
BART scenarios is now larger by
484,000 tons of SO2 reduction (i.e.,
2,911,000 ¥ 2,427,000) and 100,000
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tons of NOX reduction (i.e. 738,000 ¥
638,000).
Implications of New Emission
Projections for the Two-Pronged Test
The first prong of the better than
BART test specifies that no degradation
of visibility can occur at any Class I
area. In order to be sure that Class I
areas do not experience a degradation in
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visibility, we examined the updated
State by State emissions estimates.
Compared to the 2015 base case, in the
updated CAIR + BART case, there are no
individual Statewide increases in either
SO2 or NOX (except for a very small
∼1,000 ton increase in NOX in
Connecticut and 2,000 ton increase in
SO2 in New Jersey).77 That is consistent
with the NFR CAIR + BART case in
which no degradation was found.
Consequently we have determined that
no degradation would occur under the
updated CAIR + BART emissions
scenario.
The second prong of the better than
BART test specifies a greater average
visibility improvement from the CAIR
trading program (CAIR + BART). The
average visibility improvement from the
NFR CAIR + BART case was much
greater (on the 20 percent worst
visibility days) than the nationwide
BART case. In the scenario we modeled
for the NFR, the larger visibility
improvement from CAIR + BART was
achieved by reducing SO2 emissions by
an additional ∼2.4 million tons per year
compared to nationwide BART and NOX
emissions by an additional 638,000 tons
per year compared to natiowide BART.
In the updated scenario, the emissions
difference between the CAIR + BART
and nationwide BART cases are even
larger (2.9 million tons of SO2 and
738,000 tons of NOX).78 The distribution
of emission reductions changed
somewhat in the new projections—that
is, some States saw a larger difference
between CAIR and BART, while in other
States the difference was smaller. The
largest change was in Kentucky, where
the new projections showed that
emission reductions from CAIR were
even greater than those from BART by
an additional 200,000 tons per year.
Among States where the change
between projections went the other
direction—that is, showing that BART
reductions were closer to CAIR
reductions than previously projected—
the greatest changes were in Alabama
and Pennsylvania, where the difference
between the programs decreased by
46,000 and 45,000 tons, respectively.
77 The 1,000 ton per year increase in NO in
X
Connecticut represents approx. 0.003 percent of the
total EGU NOX in the 2015 base case and the 2,000
ton per year increase in SO2 in New Jersey
represents approx. 0.0005 percent of the total EGU
SO2 . Since the impacts on visibility from EGU SO2
and NOX are generally regional in nature, we would
expect this small increase to have little or no impact
on visibility in any Class I area.
78 The difference between the updated CAIR +
BART and nationwide BART scenarios is larger
than the difference between the modeled CAIR +
BART and nationwide BART scenarios. The
‘‘difference of the differences’’ is 485,000 tons of
SO2 and 100,000 tons of NOX.
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Perhaps more importantly, in the new
projections, there are fewer States in
which BART reductions are greater than
CAIR reductions. In the NFR
projections, there were 12 States 79
where nationwide BART SO2 reductions
were greater than CAIR + BART
reductions.80 In those 12 States, BART
emissions achieved approx. 686,000
more tons of SO2 reduction compared to
CAIR + BART. In the rest of the States,
CAIR + BART achieved an additional
3.1 million tons per year of SO2
reduction compared to BART. All told,
the modeling showed that visibility
improvement was greater under the
CAIR than under BART on an overall
average basis, both at eastern Class I
areas and at all Class I areas nationally.
In the new projections, CAIR + BART
achieved an additional 3.4 million tons
per year of SO2 reduction compared to
BART in 39 of the 48 States. In the
remaining 9 States 81 BART achieved
approx. 472,000 more tons of SO2
reduction compared to CAIR + BART in
the west.82
Due to the fact that the new
projections show that the difference
between CAIR and BART reductions is
even greater than previously estimated,
and the visibility improvements due to
CAIR + BART were previously modeled
to be much larger than BART, we can
state with a high degree of confidence
that the updated CAIR + BART scenario
passes the second prong of the better
than BART test.
D. Revision to Regional Haze Rule To
Allow CAIR States To Treat CAIR as a
BART-Substitute for EGUs
In the SNPR, we proposed that States
which adopt the CAIR cap and trade
program for SO2 and NOX would be
allowed to treat the participation of
EGUs in this program as a substitute for
the application of BART controls for
these pollutants at affected EGUs. To
79 California, Delaware, Florida, Georgia, Iowa,
Louisiana, Michigan, Mississippi, Missouri, North
Carolina, Texas, and Wisconsin.
80 There were also four States where BART NO
X
emissions reductions were slightly higher than
CAIR + BART (a total of 4,000 tons per year). Those
States are Connecticut, Delaware, New Jersey, and
Oklahoma.
81 Alabama, Louisiana, Michigan, Mississippi,
Missouri, New Jersey, North Carolina, Texas,
Wisconsin.
82 We performed a similar analysis using
projections including the Clean Air Mercury Rule,
CAMR, which was promulgated after the CAIR
NFR. The CAMR emission projections show slight
additional emission reductions of SO2 and NOX as
compared to the projections CAIR + BART without
CAMR, and are nearly identical in terms of
geographic distribution. Therefore CAIR + BART +
CAMR, like CAIR + BART, passes the two-pronged
test for demonstrating greater reasonable progress
than BART. This is discussed in more detail in the
TSD accompanying today’s action.
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implement this, we proposed an
amendment to the Regional Haze Rule
which would add a subpart 40 CFR
51.308(e)to read as follows:
A State that opts to participate in the Clean
Air Interstate Rule cap-and-trade program
under part 96 AAA–EEE need not require
affected BART-eligible EGUs to install,
operate, and maintain BART. A State that
chooses this option may also include
provisions for a geographic enhancement to
the program to address the requirement
under § 51.302(c) related to BART for
reasonably attributable impairment from the
pollutants covered by the CAIR cap and trade
program.83
We proposed that this would be
codified at 40 CFR 51.308(e)(3);
however, that section now incorporates
the ‘‘better than BART’’ test as
discussed above. In today’s action, as
described below we are finalizing this
provision of the rule, where it will be
codified as section 308(e)(4).
The EPA’s authority to treat emissions
reductions required by the CAIR as
satisfying BART was not affected by
CEED. As noted, the D.C. Circuit in
CEED upheld the proposition that EPA
can approve implementation plans
which rely on alternative strategies to
BART, as long as greater reasonable
progress is achieved. CEED, 398 F.3d at
660. Moreover, the CAIR program is not
infected in any way with the ‘‘group
BART’’ methodology held invalid by the
court. That is because CAIR emission
reductions levels were not based on the
invalid ‘‘group-BART’’ approach or any
other assumptions regarding BART, but
were developed for other reasons.
Specifically, the CAIR was developed to
assist with attainment of the NAAQS for
PM2.5 and ozone. Had EPA not
performed the comparison of CAIR to
BART for visibility progress purposes,
the CAIR emission reduction
requirements would remain unchanged.
Therefore, EPA is not imposing an
invalid BART requirement on States,
but rather allowing States, at their
option, to utilize the CAIR cap and trade
program as a means to satisfy BART for
affected EGUs.
We received numerous comments on
this proposal, which are summarized
along with our responses in the CAIR
NFR preamble at 70 FR 25300–25302
and in the Response to Comment
document. To summarize our responses
to some of the most important
comments:
83 A geographic enhancement is a method,
procedure, or process to allow a broad regional
strategy, such as the CAIR cap & trade program, to
accommodate BART for reasonably attributable
impairment. For example, it could consist of a
methodology for adjusting allowance allocations at
a source which is required to install BART controls.
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(1) We note that we are not
constraining the discretion of States to
determine which sources are subject to
BART and to make BART
determinations. CAIR-affected States are
not required to accept our determination
that CAIR may substitute for BART.
Under the amended rule, States simply
have the option of accepting this
determination.
(2) The EPA does not believe that
anything in the CAA or relevant case
law prohibits a State from considering
emissions reductions required to meet
other CAA requirements when
determining whether source by source
BART controls are necessary to make
reasonable progress. Whatever the origin
of the emission reduction requirement,
the relevant question for BART
purposes is whether the alternative
program makes greater reasonable
progress. As discussed above, EPA has
determined that CAIR does so with
respect to SO2 and NOX from EGUs in
the CAIR region.
Moreover, the fact that BART and
CAIR originate from different provisions
of the CAA does not mean that CAIR
and BART emissions reductions would
be additive if BART-eligible EGUs in the
CAIR program were required to install
and operate BART. Such source specific
control requirements would simply
result in a redistribution of emission
reductions, as other EGUs could buy the
excess allowances generated by the
installation of controls at BART units.
The net result would be the same level
of emission reductions, but at a higher
total cost, because the ability of the
market to find the most cost effective
emission reductions would be
constrained.
(3) Although regional haze rule
section 308(e)(2) is not directly
applicable, as the CAIR is covered by
the special provision newly codified at
section 308(e)(4), this determination is
consistent with the policy contained in
section 308(e)(2) requiring in-lieu of
BART programs be based on emissions
reductions ‘‘surplus to reductions
resulting from measures adopted to
meet requirements as of the baseline
date of the SIP.’’ The baseline date for
regional haze SIPs is 2002;84 therefore
CAIR reductions are surplus to
requirements as of that year.
(4) We agree with commenters that it
was premature to make a final
determination whether CAIR makes
greater reasonable progress than BART
in the final CAIR because at that time
84 See
Memorandum from Lydia Wegman and
Peter Tsirigotis, 2002 Base Year Emission Inventory
SIP Planning: 8-hr Ozone, PM2.5, and Regional Haze
Programs, November 8, 2002. https://www.epa.gov/
ttn/oarpg/t1/ memoranda/2002bye_gm.pdf.
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the BART guidelines and the criteria for
making such determinations had not
been finalized. In today’s action, both
those rule makings are complete and
therefore such a determination is ripe.
(5) We disagree with commenters who
thought that CAIR should be considered
‘‘better than BART’’ regardless of
whether a State participates in the cap
and trade program. Our demonstration
that CAIR makes greater reasonable
progress than BART is based only on an
examination of emissions reductions
from EGUs under both programs. The
CAIR emissions projections and
modeling assumes that EGU emissions
will be capped at the levels specified in
the CAIR. Therefore, States that choose
to meet their CAIR emission reduction
requirements in a manner other than
through the participation of EGUs in the
CAIR cap and trade program would
have to develop an appropriate
demonstration that the measures they
employ make greater reasonable
progress than would BART for any
affected source categories, if the State
wanted its CAIR-required reductions to
substitute for source-by-source BART.
(6) We disagree with commenters who
asserted that CAIR should satisfy BART
for States that are subject to CAIR only
for ozone season NOX. We explained in
the final CAIR preamble that a State
subject to CAIR for NOX purposes only
would have to make a supplementary
demonstration that BART has been
satisfied for SO2, as well as for NOX on
an annual basis. We wish to clarify here
that a State which is only subject to
CAIR for NOX, but which also chooses
to participate in the CAIR trading
program for both SO2 and NOX, may
consider BART to be satisfied for both
SO2 and NOX from EGUs. Because we
modeled these States as controlling for
both SO2 and NOX in the CAIR NFR, our
better than BART demonstration
presented in that action would be valid
in that scenario. Conversely, if such
States choose to participate only in the
ozone season NOX trading program, the
updated projections presented in
today’s action demonstrate that BART
would be satisfied for NOX, but such
states would still need to address BART
for SO2 emissions from EGUs.
(7) We noted in the final CAIR
preamble that although we believe it is
unlikely that a State or FLM will find it
necessary to certify reasonably
attributable visibility impairment at any
Class I area, as a legal matter that
possibility exists. That is, the
determination that CAIR makes greater
reasonable progress than BART is made
in the context of BART for regional haze
under CAA 169B, and does not preclude
a finding of reasonably attributable
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39143
impairment under CAA 169A. The CAIR
cap and trade program does not include
geographic enhancements to
accommodate the situation where BART
is required based on reasonable
attribution at a source which
participates in the trading program, but
States retain the discretion to include
such enhancements in their SIPs.
(8) Our determination that CAIR
makes greater reasonable progress than
BART for EGUs is not a determination
that CAIR satisfies all reasonable
progress requirements in CAIR affected
States. Each State, whether in the CAIR
region or not, is required to set
reasonable progress goals for each Class
I area within the State as required in
regional haze rule section 308(d)(1), and
to develop long term strategies,
considering all anthropogenic sources of
visibility impairing pollutants, as
required by section 308(d)(3).
In setting the reasonable progress
goals, the State is to consider the
amount of visibility improvement
needed to achieve a uniform rate of
progress towards natural background
conditions in the year 2064. (This
uniform rate of progress is sometimes
referred to as the default glide-path).
The State is also to consider the
statutory reasonable progress factors
contained in CAA section 169A(g)(1).85
In doing so, we anticipate that States
will take into account the degree to
which CAIR emissions reductions are
projected to bring visibility conditions
at its Class I areas in line with the
default glide path. In some States, the
improvements expected from CAIR,
combined with the application of the
reasonable progress factors to other
source sectors, may result in a
determination that few additional
emissions reductions are reasonable for
the first long term strategy period.
Nonetheless, each State is required to
set its reasonable progress goals as
provided by the regional haze rule and
cannot assume that CAIR will satisfy all
of its visibility-related obligations.
V. Statutory and Executive Order
Reviews
A. Executive Order 12866: Regulatory
Planning and Review
Under Executive Order 12866 (58 FR
51735, October 4, 1993), EPA must
determine whether the regulatory action
is ‘‘significant’’ and, therefore, subject to
Office of Management and Budget
85 Similar to the BART factors, the reasonable
progress factors are: the cost of compliance, the
time necessary for compliance, the energy and
nonair quality environmental impacts of
compliance, and the remaining useful life of any
existing sources subject to such requirements.
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(OMB) review and the requirements of
the Executive Order. The Order defines
‘‘significant regulatory action’’ as one
that is likely to result in a rule that may:
(1) Have an annual effect on the
economy of $100 million or more or
adversely affect in a material way the
economy, a sector of the economy,
productivity, competition, jobs, the
environment, public health or safety, or
State, local, or Tribal governments or
communities;
(2) Create a serious inconsistency or
otherwise interfere with an action taken
or planned by another agency;
(3) Materially alter the budgetary
impacts of entitlements, grants, user
fees, or loan programs or the rights and
obligations of recipients thereof; or
(4) Raise novel legal or policy issues
arising out of legal mandates, the
President’s priorities, or the principles
set forth in the Executive Order.
Pursuant to the terms of Executive
Order 12866, it has been determined
that this rule is a ‘‘significant regulatory
action,’’ thus EPA has submitted this
rule to OMB for review. The drafts of
the rules submitted to OMB, the
documents accompanying such drafts,
written comments thereon, written
responses by EPA, and identification of
the changes made in response to OMB
suggestions or recommendations are
available for public inspection at EPA’s
Air and Radiation Docket and
Information Center (Docket Number
OAR–2002–0076). The EPA has
prepared the document entitled
‘‘Regulatory Impact Analysis of the
Final Clean Visibility Interstate Rule or
Guidelines for Best Available Retrofit
Technology Determinations Under the
Regional Haze Regulations’’ (RIA) to
address the requirements of this
executive order.
1. What Economic Analyses Were
Conducted for the Rulemaking?
The analyses conducted for this final
rule provide several important analyses
of impacts on public welfare. These
include an analysis of the social
benefits, social costs, and net benefits of
three possible regulatory scenarios that
States may follow to implement the
BART rule and guidelines. The
economic analyses also address issues
involving requirements of the
Paperwork Reduction Act (PRA),
potential small business impacts,
unfunded mandates (including impacts
for Tribal governments), environmental
justice, children’s health, energy
impacts, and other statutory and
executive order requirements.
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2. What Are the Benefits and Costs of
This Rule?
The benefit-cost analysis shows that
substantial net economic benefits to
society are likely to be achieved due to
reductions in emissions resulting from
this rule. The results detailed below
show that this rule would be beneficial
to society, with annual net benefits
(benefits less costs) ranging from
approximately $1.9 to $12.0 billion in
2015. These alternative net benefits
estimates reflect differing assumptions
about State actions taken to implement
BART and about the social discount rate
used to estimate the annual value of the
benefits and costs of the rule. All
amounts are reflected in 1999 dollars.
The range of benefits and costs reported
for the BART represent estimates of
EPA’s assessment of State actions that
will likely be taken to comply with the
BART rule and guidelines.
a. Control Scenarios
Today’s rule sets forth presumptive
requirements for States to require EGUs
to reduce SO2 and NOX emissions for
units greater than 200 megawatts (MW)
in capacity at plants greater than 750
MW in capacity that significantly
contribute to visibility impairment in
Federal Class I areas (national parks).
The analysis conducted in the RIA
presents alternative control scenarios of
possible additional controls for EGUs
located at plants less than 750 MW in
capacity. The EPA also calculated the
amount of SO2 and NOX emissions
reductions for several illustrative
scenarios that reflect alternative State
actions regulating industries with nonEGU sources. The analyses conducted
include three regulatory alternative
scenarios that States may choose to
follow to comply with BART. The
alternatives include three scenarios of
increasing stringency—Scenario 1,
Scenario 2, and Scenario 3. A brief
discussion of the these alternatives for
the EGUs and all other sources follows.
More details of the alternative control
scenarios and associated control costs
are discussed in the RIA.
i. Electric Generating Units
In the revised BART guidelines, we
have included presumptive control
levels for SO2 and NOX emissions from
coal-fired electric generating units
greater than 200 megawatts (MW) in
capacity at plants greater than 750 MW
in capacity. Given the similarities of
these units to other BART-eligible coalfired units greater than 200 MW at
plants 750 MW or less, EPA’s guidance
suggests that States control such units at
similar levels for BART. The guidelines
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would require 750 MW power plants to
meet specific control levels of either 95
percent control or controls of 0.15 lbs/
MMBtu, for each EGU greater than 200
MW, unless the State determines that an
alternative control level is justified
based on a careful consideration of the
statutory factors.86 Thus, for example, if
the source convincingly demonstrates
unique circumstances affecting its
ability to cost-effectively reduce its
emissions, the State may take that into
account in determining whether the
presumptive levels of control are
appropriate for the facility. For an EGU
greater than 200 MW in size, but located
at a power plant smaller than 750 MW
in size, States may also find that such
controls are cost-effective when taking
into consideration the costs of
compliance in the BART analysis in
applying the five factor test for the
BART determination. In our analysis we
have assumed that no additional
controls will occur where units have
existing scrubbers and that no controls
will occur for oil-fired units. While
these levels may represent current
control capabilities, we expect that
scrubber technology will continue to
improve and control costs will continue
to decline.
For NOX, for those large EGUs that
have already installed selective catalytic
reduction (SCR) or selective noncatalytic reduction (SNCR) during the
ozone season, States should require the
same controls for BART. However, those
controls should be required to operate
year-round for BART. For sources
currently using SCR or SNCR for part of
the year, states should presume that the
use of those same controls year-round is
highly cost-effective. For other sources,
the guidelines establish presumptive
emission levels that vary depending
largely upon boiler type and fuel
burned. For coal-fired cyclone units
with a size greater than 200 MW, our
analysis assumes these units will install
SCR. For all other coal-fired units, our
analysis assumed these units will install
current combustion control technology.
In addition, we assume no additional
controls for oil and/or gas-fired steam
units.
We present alternative regulatory
scenarios. Scenario 2 represents our
application of the presumptive limits
described above to all BART eligibility
EGUs greater than 200 MW. For
Scenario 1, we assume that only 200
MW BART-eligible EGUs located at
facilities above 750 MW capacity will
comply with the SO2 requirements and
NOX controls. In this scenario, no
86 These levels are commonly achievable by flue
gas desulfurization controls (‘‘scrubbers’’).
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facilities less than 750 MW capacity are
assumed to install BART controls. For
Scenario 1, we assume that units with
existing SCRs will operate those SCR
units year round annually. In contrast in
Scenario 3, we analyzed SO2 controls
equivalent to 95 percent reductions or
0.1 lbs per MMBtu on all previously
uncontrolled units. NOX controls for
this most stringent scenario presume
SCRs will be installed on all units
greater than 100 MW capacity and
combustion controls will be installed on
units greater than 25 MW but less than
100 MW capacity. The EPA analyzed
the costs of each BART scenario using
the Integrated Planning Model (IPM).
The EPA has used this model
extensively in past rulemakings to
analyze the impacts of regulations on
the power sector.
The analysis presented assumes that
BART-eligible EGUs affected by the
Clean Air Interstate Rule (70 FR 25162)
have met the requirements of this rule.
Thus, no additional controls for EGUs
beyond CAIR are anticipated or
modeled for the 28 State plus District of
Columbia CAIR region. In addition, we
are assuming no additional SO2 controls
for sources located in States of Arizona,
Utah, Oregon, Wyoming, and New
Mexico or Tribal lands located in these
States due to agreements made with the
Western Regional Air Partnership
(WRAP).
ii. Sources Other Than Electric
Generating Units
As previously discussed there are 25
source categories potentially subject to
BART in addition to EGUs (referred to
as non-EGU source categories) as
defined by the CAA. The EPA evaluated
a set of SO2 and NOX emission control
technologies available for these source
categories and estimated the associated
costs of control using AirControlNET.
The control scenarios evaluated reflect
control measure cost caps of up to
$1,000 per ton (Scenario 1), $4,000 per
ton (Scenario 2), and $10,000 per ton
(Scenario 3). The EPA also conducted a
cost analysis for control costs of up to
$2,000 per ton and $3,000 per ton, and
the results of this analysis are presented
in the RIA. The analysis consists of
applying SO2 and NOX controls to each
non-EGU source category up to the
specified cost per ton ‘‘cap’’ in each
scenario. These cost per ton caps are
specified in average cost terms. As
control stringency is increased, the
marginal costs are also estimated for
each non-EGU source category. The
scenarios examined are based on the
costs of technologies such as scrubbers
for SO2 control, and varying types of
technologies for NOX control. Scrubbers
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are the most common type of SO2
control for most non-EGU sources for
each scenario, while combustion
controls such as low NOX burners (LNB)
and post-combustion controls such as
selective noncatalytic reduction (SNCR)
and selective catalytic reduction (SCR)
are commonly applicable to most of the
non-EGU source categories. Combustion
controls are commonly applied as part
of Scenario 1, while SNCR and SCR are
more commonly applied either by
themselves or in combination with
combustion controls as part of Scenarios
2 and 3. Analyses are not available for
8 of the 25 non-EGU source categories,
because there are no available control
measures for these sources or there are
no sources in these categories included
in the non-EGU emissions data utilized
in these analyses. All of these results are
estimated using a nationwide database
of BART-eligible non-EGU sources that
is based on information collected from
Regional Planning Organizations (RPOs)
in the fall of 2004.
b. Baseline and Year of Analysis
The final rule sets forth the guidelines
for States and Tribes for meeting the
BART requirements under the CAA and
the Regional Haze Rule. The Agency
considered all promulgated CAA
requirements and known State actions
in the baseline used to develop the
estimates of benefits and costs for this
rule including the recently promulgated
Clean Air Interstate Rule (70 FR 25162)
and the proposal to include New Jersey
and Delaware in the final CAIR region
for fine particulate matter (70 FR
25408). However, EPA did not include
within the baseline the actions States
may take to implement the ozone and
PM2.5 NAAQS standards nor the
recently promulgated Clean Air Mercury
Rule. No additional SO2 controls were
assumed for any EGUs within the five
WRAP States of Utah, Arizona,
Wyoming, Oregon or New Mexico that
have existing agreements to achieve
reduction goals.
In the analysis, the controls and
reductions are assumed to be required
in 2015, a date that is generally
consistent with the expected timing of
the rule. States must submit SIPs
relevant to the BART requirements in
January 2008. After approval of the SIP,
there is a 5 year compliance date. Thus,
controls are likely to be installed and in
operation by the end of 2013 or the
beginning of 2014 to comply with the
rule. In addition, EPA had existing
inventories, modeling, and base case
runs for 2015 to use for the analysis.
The year 2015 is used in this analysis.
All estimates presented in this report
represent annualized estimates of the
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39145
benefits and costs of BART in 2015
rather than the net present value of a
stream of benefits and costs in these
particular years of analysis.
c. Cost Analysis and Economic Impacts
For the affected region, the projected
annual private incremental costs of
BART to the power industry (EGU
source category) range from $253 to
$896 million in 2015 depending upon
the scenario evaluated. These costs
represent the private compliance cost to
the electric generating industry of
reducing NOX and SO2 emissions that
EPA believes States may require to
comply with BART.
In estimating the net benefits of
regulation, the appropriate cost measure
is ‘‘social costs.’’ Social costs represent
the welfare costs of the rule to society.
These costs do not consider transfer
payments (such as taxes) that are simply
redistributions of wealth. The social
costs of this rule for the EGU sector only
are estimated to range from
approximately $119 to $567 million in
2015 assuming a 3 percent discount
rate. These EGU sector costs become
$141 to $688 million in 2015 assuming
a 7 percent discount rate.
Overall, the impacts of the BART are
modest, particularly in light of the large
benefits we expect. Retail electricity
prices are projected to increase roughly
0.1 percent with BART in the 2015
timeframe under Scenario 2. Coal-fired
generation, as well as coal production
and natural gas-fired generation are
projected to remain essentially
unchanged as a result of this rule. It is
also not expected that BART will
change the composition of new
generation built to meet growth in
electricity demand. BART is also not
expected to impact coal or natural gas
prices.
For today’s rule, EPA analyzed the
costs for the EGU source category using
the Integrated Planning Model (IPM).
The IPM is a dynamic linear
programming model that can be used to
examine the economic impacts of air
pollution control policies for SO2 and
NOX throughout the contiguous U.S. for
the entire power system. Documentation
for IPM can be found in the docket for
this rulemaking or at https://
www.epa.gov/airmarkets/epa-ipm.
The EPA also conducted an analysis
of State actions in requiring emission
controls for BART eligible sources in the
non-EGU source categories. For the
nation, the projected annual private
incremental costs range from $150
million to $2.24 billion for industries
with affected non-EGU sources. This
cost range results from different
assumptions about possible actions
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States may take to comply with BART
and alternative discount rates of 3 and
7 percent. The non-EGU private
incremental control cost estimates are
assumed to approximate the social costs
of the rule for the non-EGU sector. The
EPA analyzed the costs to non-EGUs
sources using AirControlNET. The
AirControlNET is a software tool that
can be used to estimate the private costs
and emission reductions of air pollution
control policies for SO2, NOX, and other
criteria pollutants throughout the
contiguous U.S. for all manufacturing
industries and many other industries.
Documentation for AirControlNET can
be found in the docket for this
rulemaking or at https://www.epa.gov/
ttn/ecas/AirControlNET.htm.
In summary, the EPA estimates that
the annual social costs of this rule for
the EGU and non-EGU source categories
range from approximately $0.3 to $2.9
billion annually, based on alternative
scenarios of State actions in response to
the BART rule and guidelines assuming
3 or 7 percent discount rates. Estimates
are reflected in 1999 dollars.
d. Human Health Benefit Analysis
Our analysis of the health and welfare
benefits associated with this rule are
presented in this section. Briefly, the
analysis projects major benefits from
implementation of the rule in 2015. As
described below, thousands of deaths
and other serious health effects would
be prevented. We are able to monetize
annual benefits ranging from
approximately $2.2 to $14.3 billion in
2015. This range reflects different
assumptions about States actions in
response to the BART rule and the
applicable discount rate (3 percent or 7
percent).
Table IV–1 presents the primary
estimates of reduced incidence of PMand visibility-related health effects for
2015 for the regulatory control strategy
the EPA expects States may follow to
comply with BART. In 2015 for
Scenario 2, we estimate that PM-related
annual benefits include approximately
1,600 fewer premature fatalities, 890
fewer cases of chronic bronchitis, 2,200
fewer non-fatal heart attacks, 2300 fewer
hospitalizations (for respiratory and
cardiovascular disease combined—
admissions and emergency room visits)
and result in significant reductions in
days of restricted activity due to
respiratory illness (with an estimate of
one million fewer cases) and
approximately 170,000 fewer work-loss
days. We also estimate substantial
health improvements for children from
reduced upper and lower respiratory
illness, acute bronchitis, and asthma
attacks.
Ozone health-related benefits are
expected to occur during the summer
ozone season (usually ranging from May
to September in the Eastern U.S.). Since
we did not conduct ozone modeling for
this rulemaking, we are unable to
quantify or monetize the ozone related
benefits that will likely result from
BART.
Table IV–2 presents the estimated
monetary value of reductions in the
incidence of health and welfare effects.
Annual PM-related health benefits and
visibility benefits are estimated to range
from approximately $2.2 to $14.3 billion
annually. This range of estimates
reflects different scenarios about States
actions in response to the BART rule
and the applicable discount rate (3
percent or 7 percent). Estimated annual
visibility benefits in southeastern and
southwestern Class I areas range from
approximately $80 million to $420
million annually in 2015. All monetized
estimates are stated in 1999$. These
estimates account for growth in real
gross domestic product (GDP) per capita
between the present and 2015. As the
table indicates, total benefits are driven
primarily by the reduction in premature
fatalities each year. Reductions in
premature mortality account for over 90
percent of total benefits.
Table IV–3 presents the total
monetized net benefits for 2015. This
table also indicates with a ‘‘B’’ those
additional health and environmental
benefits of the rule that we were unable
to quantify or monetize. These effects
are additive to the estimate of total
benefits. A listing of the benefit
categories that could not be quantified
or monetized in our benefit estimates
are provided in Table IV–4. We are not
able to estimate the magnitude of these
unquantified and unmonetized benefits.
While EPA believes there is
considerable value to the public for the
PM-related benefit categories that could
not be monetized, we believe these
benefits may be small relative to those
categories we were able to quantify and
monetize. In contrast, EPA believes the
monetary value of the ozone-related
premature mortality benefits could be
substantial, but we were unable to
estimate the benefits for this
rulemaking.
e. Quantified and Monetized Welfare
Benefits
Only a subset of the expected
visibility benefits—those for Class I
areas in the southeastern and
southwestern U.S. are included in the
monetary benefits estimates we project
for this rule. We believe the benefits
associated with these non-health benefit
categories are likely significant. For
example, we are able to quantify
significant visibility improvements in
Class I areas in the Northeast and
Midwest, but are unable at present to
place a monetary value on these
improvements. Similarly, we anticipate
improvement in visibility in residential
areas where people live, work and
recreate in the nation for which we are
currently unable to monetize benefits.
For the Class I areas in the southeastern
and southwestern U.S., we estimate
annual benefits ranging from $80 to
$420 million beginning in 2015 for
visibility improvements. The value of
visibility benefits in areas where we
were unable to monetize benefits could
also be substantial.
TABLE IV–1.—CLEAN AIR VISIBILITY RULE: ESTIMATED REDUCTION IN INCIDENCE OF ADVERSE HEALTH EFFECTS IN
2015 a,b
Incidence reduction
Health Effect
Scenario 1
PM-Related Endpoints:
Premature mortality c
Adult, age 30 and over ......................................................................................
Infant, age <1 year ............................................................................................
Chronic bronchitis (adult, age 26 and over) .............................................................
Non-fatal myocardial infarction (adults, age 18 and older) ......................................
Hospital admissions—respiratory (all ages) d ...........................................................
Hospital admissions—cardiovascular (adults, age >18) e ........................................
Emergency room visits for asthma (age 18 years and younger) ............................
Acute bronchitis (children, age 8–12) ......................................................................
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Scenario 2
400
1
230
570
140
120
370
550
06JYR3
1,600
4
890
2,200
510
450
1,300
2,100
Scenario 3
2,300
5
1,300
3,000
720
640
1,800
3,000
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39147
TABLE IV–1.—CLEAN AIR VISIBILITY RULE: ESTIMATED REDUCTION IN INCIDENCE OF ADVERSE HEALTH EFFECTS IN
2015 a,b—Continued
Incidence reduction
Health Effect
Scenario 1
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 (adults, age 18–65) ........................................................................
Minor restricted-activity days (MRADs) (adult age, 18–65) .....................................
Scenario 2
6,600
5,000
8,100
44,000
260,000
25,000
19,000
31,000
170,000
1,000,000
Scenario 3
36,000
27,000
44,000
240,000
1,400,000
a Incidences are rounded to two significant digits. These estimates represent benefits from BART nationwide. The modeling used to derive
these incidence estimates assumes the final CAIR program in the baseline including the CAIR promulgated rule and the proposal to include SO2
and annual NOX controls for New Jersey and Delaware. Modeling used to develop these estimates assumes annual SO2 and NOX controls for
Arkansas for CAIR resulting in a slight understatement of the reported benefits and costs for BART. The recently promulgated CAMR has not
been considered in the baseline for BART.
b Ozone benefits are expected for BART, but are not estimated for this analysis.
c Adult premature mortality based upon studies by Pope et al., 2002. Infant premature mortality is based upon studies by Woodruff, Grillo, and
Schoendorf, 1997.
d Respiratory hospital admissions for PM include admissions for chronic obstructive pulmonary disease (COPD), pneumonia, and asthma.
e Cardiovascular hospital admissions for PM include total cardiovascular and subcategories for ischemic heart disease, dysrhythmias, and
heart failure.
TABLE IV–2. ESTIMATED MONETARY VALUE OF REDUCTIONS IN INCIDENCE OF HEALTH AND WELFARE EFFECTS FOR THE
CLEAN AIR VISIBILITY RULE IN 2015
[In millions of 1999$] a,b
Scenario 1
Health Effects:
Premature mortality c,d
Adult >30 years
3 percent discount rate ........................................................................
7 percent discount rate ........................................................................
Infant <1 year ..............................................................................................
Chronic bronchitis (adults, 26 and over) ............................................................
Nonfatal acute myocardial infarctions
3 percent discount rate ...............................................................................
7 percent discount rate ...............................................................................
Hospital admissions for respiratory causes .......................................................
Hospital admissions for cardiovascular causes .................................................
Acute bronchitis (children, age 8–12) ................................................................
Lower respiratory symptoms (children, 7–14) ....................................................
Upper respiratory symptoms (asthma, 9–11) .....................................................
Emergency Room Visits for Asthma (age 18 years and younger) ....................
Asthma exacerbations ........................................................................................
Work loss days ...................................................................................................
Minor restricted-activity days (MRADs) ..............................................................
Welfare Effects:
Recreational visibility, 81 Class I areas .............................................................
Monetized Total e
Base Estimate:
3 percent discount rate ........................................................................
7 percent discount rate ........................................................................
Scenario 2
$2,330
1,960
6.12
90.5
$9,180
7,730
23.8
353
Scenario 3
$13,000
10,900
34.2
498
49.3
45.8
1.07
2.6
0.207
0.109
0.137
0.106
0.367
5.56
13.8
189
175
4.03
10.0
0.79
0.415
0.523
0.362
1.4
22.4
54.1
264
245
5.65
14.1
1.12
0.587
0.74
0.51
1.98
31.5
76.3
84
239
416
2,600+B
2,200+B
10,100+B
8,600+B
14,300+B
12,200+B
a Monetary benefits are rounded to three significant digits. These estimates are nationwide with the exception of visibility benefits. Visibility
benefits relate to Class I areas in the southeastern and southwestern United States. Ozone benefits are expected for BART, but have not been
estimated for this analysis. The benefit estimates assume the final CAIR program in the baseline that includes the CAIR promulgated rule and
the proposal to include SO2 and annual NOX controls for New Jersey and Delaware. Modeling used to develop the CAIR baseline estimates assumes annual SO2 and NOX controls for Arkansas resulting in a slight understatement of the reported benefits and costs for BART. The recently
promulgated CAMR is not considered in the baseline for BART.
b Monetary benefits adjusted to account for growth in real GDP per capita between 1990 and the analysis year of 2015.
c Valuation assumes discounting over the SAB-recommended 20-year segmented lag structure described in Chapter 4. Results show 3 percent
and 7 percent discount rates consistent with EPA and OMB guidelines for preparing economic analyses (U.S. EPA, 2000; OMB, 2003).
d Adult premature mortality based upon studies by Pope et al., 2002. Infant premature mortality based upon studies by Woodruff, Grillo, and
Schoendorf, 1997.
e B represents the monetary value of health and welfare benefits not monetized. A detailed listing is provided in Table IV–4. Totals rounded to
nearest $100 million, and totals may not sum due to rounding.
TABLE IV–3.—SUMMARY OF ANNUAL BENEFITS, COSTS, AND NET BENEFITS OF THE CLEAN AIR VISIBILITY RULE IN 2015 a
[Billions of 1999$]
Description
Social
Scenario 1
costs b
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Scenario 2
Scenario 3
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TABLE IV–3.—SUMMARY OF ANNUAL BENEFITS, COSTS, AND NET BENEFITS OF THE CLEAN AIR VISIBILITY RULE IN
2015 a—Continued
[Billions of 1999$]
Description
Scenario 1
3 percent discount rate .........................................................................................................
7 percent discount rate .........................................................................................................
Social benefits c, d, e
3 percent discount rate .........................................................................................................
7 percent discount rate .........................................................................................................
Health-related benefits:
3 percent discount rate .........................................................................................................
7 percent discount rate .........................................................................................................
Visibility benefits ..........................................................................................................................
Net benefits (benefits-costs) e, f
3 percent discount rate .........................................................................................................
7 percent discount rate .........................................................................................................
Scenario 2
Scenario 3
$0.4
0.3
$1.4
1.5
$2.3
2.9
2.6 + B
2.2 + B
10.1 + B
8.6 + B
14.3 + B
12.2 + B
2.5
2.1
0.08
9.8
8.4
0.24
13.9
11.8
0.42
2.2 + B
1.9 + B
8.7 + B
7.1 + B
12.0 + B
9.3 + B
a All estimates are rounded to three significant digits and represent annualized benefits and costs anticipated for the year 2015. Estimates assume a complete CAIR program in the baseline including the CAIR promulgated rule and the proposal to include SO2 and annual NOX controls
for New Jersey and Delaware. Modeling used to develop the CAIR baseline estimates assumes annual SO2 and NOX controls for Arkansas resulting in a slight understatement of the reported benefits and costs for BART. The recently promulgated CAMR is not considered in the baseline
for BART.
b Note that costs are the annualized total costs of reducing pollutants including NO and SO for the EGU source category in areas outside the
X
2
CAIR region and excluding additional SO2 controls for the WRAP 309 States of UT, AZ, WY, OR or NM and include costs for non-EGU sources
nationwide. The discount rate used to conduct the analysis impacts the control strategies chosen for the non-EGU source category resulting in
greater level of controls under the 3 percent discount rate for Scenario 1.
c As this table indicates, total benefits are driven primarily by PM-related health benefits. The reduction in premature fatalities each year accounts for over 90 percent of total monetized benefits in 2015. Benefit estimates in this table are nationwide (with the exception of visibility) and
reflect NOX and SO2 reductions. Ozone benefits are expected to occur for this rule, but are not estimated in this analysis. Visibility benefits represent benefits in Class I areas in the southeastern and southwestern United States.
d Not all possible benefits or disbenefits are quantified and monetized in this analysis. B is the sum of all unquantified benefits and disbenefits.
Potential benefit categories that have not been quantified and monetized are listed in Table IV–4.
e Valuation assumes discounting over the SAB-recommended 20-year segmented lag structure described in Chapter 4. Results reflect 3 percent and 7 percent discount rates consistent with EPA and OMB guidelines for preparing economic analyses (U.S. EPA, 2000; OMB, 2003).
f Net benefits are rounded to the nearest $100 million. Columnar totals may not sum due to rounding.
TABLE IV–4.—UNQUANTIFIED AND NONMONETIZED EFFECTS OF THE CLEAN AIR VISIBILITY RULE
Pollutant/effect
Effects not included in primary estimates—changes in:
Ozone—Health a ..................................................
Ozone—Welfare ..................................................
PM—Health c. ......................................................
PM—Welfare .......................................................
Nitrogen and Sulfate Deposition—Welfare .........
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•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Premature mortality b.
Chronic respiratory damage.
Premature aging of the lungs.
Nonasthma respiratory emergency room visits.
Increased exposure to Uvb.
Hospital Admissions : respiratory.
Emergency room visits for asthma.
Minor restricted activity days.
School loss days.
Asthma attacks.
Cardiovascular emergency room visits.
Acute respiratory symptoms.
Yields for:
—Commercial forests,
—Fruits and vegetables, and
—Commercial and noncommercial crops.
Damage to urban ornamental plants.
Recreational demand from damaged forest aesthetics.
Ecosystem functions.
Increased exposure to UVb.
Premature mortality: short-term exposuresd.
Low birth weight.
Pulmonary function.
Chronic respiratory diseases other than chronic bronchitis.
Nonasthma respiratory emergency room visits.
Exposure to UVb (+/¥) e.
Visibility in many Class I areas.
Residential and recreational visibility in non-Class I areas.
Soiling and materials damage.
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.
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39149
TABLE IV–4.—UNQUANTIFIED AND NONMONETIZED EFFECTS OF THE CLEAN AIR VISIBILITY RULE—Continued
Pollutant/effect
Effects not included in primary estimates—changes in:
•
•
•
•
•
•
•
•
•
Commercial fishing, agriculture, and forests due to nitrogen deposition.
Recreation in estuarine ecosystems due to nitrogen deposition.
Ecosystem functions.
Passive fertilization due to nitrogen deposition.
Incidence of neurological disorders.
Incidence of learning disabilities.
Incidence of developmental delays.
Potential reproductive effectsf.
Potential cardiovascular effectsf, including:
—Altered blood pressure regulation f
—Increased heart rate variability f
—Incidence of myocardial infarction f
• Impacts on birds and mammals (e.g., reproductive effects).
• Impacts to commercial, subsistence, and recreational fishing.
Mercury Health g ..................................................
Mercury Deposition Welfare g ..............................
a In addition to primary economic endpoints, there are a number of biological responses that have been associated with ozone health effects
including increased airway responsiveness to stimuli, inflammation in the lung, acute inflammation and respiratory cell damage, and increased
susceptibility to respiratory infection. The public health impact of these biological responses may be partly represented by our quantified
endpoints.
b Premature mortality associated with ozone is not currently included in the primary analysis. Recent evidence suggests that short-term exposures to ozone may have a significant effect on daily mortality rates, independent of exposure to PM. EPA is currently conducting a series of
meta-analyses of the ozone mortality epidemiology literature. EPA will consider including ozone mortality in primary benefits analyses once a
peer-reviewed methodology is available.
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 short
term exposure to PM not captured in the cohort study upon which the primary analysis is based.
e May result in benefits or disbenefits. See discussion in Section 5.3.4 for more details.
f These are potential effects as the literature is insufficient.
g Mercury emission reductions are not anticipated for BART for the EGU source category due to the cap-and-trade program promulgated for
the Clean Air Mercury Rule (March 2005); however, the geographic location of mercury reductions may change as a result of this rule. EPA believes any such effects for these sources would be minimal. Mercury reductions are expected for the non-EGU source categories. The mercury
reduction for BART from the non-EGU source categories is expected to be small in comparison to reductions resulting from the recently promulgated Clean Air Interstate Rule and the Clean Air Mercury Rule (March 2005).
3. How Do the Benefits Compare to the
Costs of This Final Rule?
In estimating the net benefits of
regulation, the appropriate cost measure
is ‘‘social costs.’’ Social costs represent
the welfare costs of the rule to society.
The social costs of this rule for the EGU
and non-EGU sector sources are
estimated to range from approximately
$0.3 to $2.9 billion in 2015. This range
depends upon the control scenario
assumed and applicable discount rates
of 3 percent and 7 percent. The net
benefits (social benefits minus social
costs) of the rule range from
approximately $1.9 + B billion or $12.0
+ B billion depending upon the scenario
evaluated and the applicable discount
rate (3 and 7 percent) annually in 2015.
Implementation of the rule is expected
to provide society with a substantial net
gain in social welfare based on
economic efficiency criteria.
There is uncertainty surrounding the
actions States are likely to take to
comply with the BART guidelines.
States will determine BART-eligible
sources based upon CAA criteria,
determine those BART-eligible sources
reasonably anticipated to cause or
contribute to visibility impairment in
Class I areas and then apply a 5 factor
test for BART determinations. The range
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of estimated benefits, costs, and
resulting net benefits for BART reflects
the uncertainty concerning States
responses to BART and represents
EPA’s best estimates of the benefit-cost
outcomes of alternative compliance
scenarios.
The annualized cost of BART, as
quantified here, is EPA’s best
assessment of the cost of actions States
are likely to take to comply with the
rule. The EGU portion of these costs are
generated from rigorous economic
modeling of changes in the power sector
due to the BART rule and guidelines.
This type of analysis using IPM has
undergone peer review and been upheld
in Federal courts. The direct cost
includes, but is not limited to, capital
investments in pollution controls,
operating expenses of the pollution
controls, investments in new generating
sources, and additional fuel
expenditures. The EPA believes that
these costs reflect, as closely as possible,
the additional costs of the BART rule
and guidelines to industry. However,
there may exist certain costs that EPA
has not quantified in these estimates.
These costs may include costs of
transitioning to the BART, such as the
costs associated with the retirement of
smaller or less efficient EGUs,
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employment shifts as workers are
retrained at the same company or reemployed elsewhere in the economy.
Costs may be understated since an
optimization model was employed that
assumes cost minimization, and the
regulated community may not react in
the same manner to comply with the
rule. Although EPA has not quantified
these potential additional costs, the
Agency believes that they are small
compared to the quantified costs of the
program on the power sector. The
annualized cost estimates presented are
the best and most accurate based upon
available information.
The non-EGU portion of these costs
are generated from extensive cost
modeling based on applying illustrative
regulatory scenarios to the non-EGU
source categories. These costs represent
potential impacts to non-EGU sources
from State-imposed BART requirements.
The direct cost includes, but is not
limited to, capital investments in
pollution controls, operating and
maintenance expenses of the pollution
controls, and additional fuel
expenditures. The EPA believes that
these costs reflect, as closely as possible,
the potential additional costs of the
BART rule and guidelines to industries
with non-EGU sources. However, there
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may exist certain costs that EPA has not
quantified in these estimates. These
costs may include costs of transitioning
to the BART rule and guidelines, such
as the costs associated with the
retirement of smaller or less efficient
non-EGUs, employment shifts as
workers are retrained at the same
company or re-employed elsewhere in
the economy, and costs associated with
applying both SO2 and NOX controls at
one facility at the same time. Costs may
be understated since the non-EGU cost
modeling presumed a least-cost
approach, and the potentially regulated
community may not react in the same
manner to comply with the rules.
Although EPA has not quantified these
costs, the Agency believes that they are
small compared to the quantified costs
of the program on industries with
potentially affected non-EGU sources.
The annualized cost estimates presented
are the best and most accurate based
upon available information. In a
separate analysis, EPA estimates the
indirect costs and impacts of higher
electricity prices and costs applicable to
the non-EGU sectors on the entire
economy [see Regulatory Impact
Analysis for the Final Clean Visibility
Rule, Appendix A (June 2005)].
The costs presented here are EPA’s
best estimate of the direct private costs
of the BART rule and guidelines. For
purposes of benefit-cost analysis of this
rule, EPA has also estimated the
additional costs of BART using alternate
discount rates for calculating the social
costs, parallel to the range of discount
rates used in the estimates of the
benefits of BART (3 percent and 7
percent). Using these alternate discount
rates, the social costs of BART range
from $0.3 to $2.9 billion in 2015. (Note
the portion of these annual costs
associated with non-EGU sources
represents incremental private cost
estimates that are used as a proxy for the
social costs of the rule.)
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.
Gaps in the scientific literature often
result in the inability to estimate
quantitative changes in health and
environmental effects. Gaps in the
economics literature often result in the
inability to assign economic values even
to those health and environmental
outcomes that can be quantified. While
uncertainties in the underlying
scientific and economics literatures
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(that may result in overestimation or
underestimation of benefits) are
discussed in detail in the economic
analyses and its supporting documents
and references, the key uncertainties
which have a bearing on the results of
the benefit-cost analysis of this rule
include the following:
• Uncertainty concerning actions
States will undertake to comply with
BART;
• EPA’s inability to quantify
potentially significant benefit categories;
• Uncertainties in population growth
and baseline incidence rates;
• Uncertainties in projection of
emissions inventories and air quality
into the future;
• 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.
Despite these uncertainties, we
believe the benefit-cost analysis
provides a reasonable indication of the
expected economic benefits of the
rulemaking in future years under a set
of reasonable assumptions.
In valuing reductions in premature
fatalities associated with PM, we used a
value of $5.5 million per statistical life.
This represents a central value
consistent with a range of values from
$1 to $10 million suggested by recent
meta-analyses of the wage-risk value of
statistical life (VSL) literature.87
The benefits estimates generated for
this rule are subject to a number of
assumptions and uncertainties, that are
discussed throughout the Regulatory
Impact Analysis document [Regulatory
Impact Analysis for the Final Clean Air
Visibility Rule (April 2005)]. As Table
IV–2 indicates, total benefits are driven
primarily by the reduction in premature
fatalities each year. Elaborating on the
previous uncertainty discussion, some
key assumptions underlying the primary
estimate for the premature mortality
category include the following:
(1) EPA assumes inhalation of fine
particles is causally associated with
premature death at concentrations near
those experienced by most Americans
on a daily basis. Plausible biological
mechanisms for this effect have been
hypothesized for the endpoints
included in the primary analysis and
the weight of the available
epidemiological evidence supports an
assumption of causality.
(2) EPA assumes all fine particles,
regardless of their chemical
composition, are equally potent in
causing premature mortality. This is an
important assumption, because the
proportion of certain components in the
PM mixture produced via precursors
emitted from EGUs may differ
significantly from direct PM released
from automotive engines and other
industrial sources, but no clear
scientific grounds exist for supporting
differential effects estimates by particle
type.
(3) EPA assumes the C–R function for
fine particles is approximately linear
within the range of ambient
concentrations under consideration. In
the PM Criteria Document, EPA
recognizes that for individuals and
specific health responses there are likely
threshold levels, but there remains little
evidence of thresholds for PM-related
effects in populations.88 Where
potential threshold levels have been
suggested, they are at fairly low levels
with increasing uncertainty about
effects at lower ends of the PM2.5
concentration ranges. Thus, EPA
estimates include health benefits from
reducing the fine particles in areas with
varied concentrations of PM, including
both regions that are in attainment with
fine particle standard and those that do
not meet the standard.
The EPA recognizes the difficulties,
assumptions, and inherent uncertainties
in the overall enterprise. The analyses
upon which the BART rule and
guidelines are based were selected from
the peer-reviewed scientific literature.
We used up-to-date assessment tools,
and we believe the results are highly
useful in assessing this rule.
There are a number of health and
environmental effects that we were
unable to quantify or monetize. A
complete benefit-cost analysis of BART
requires consideration of all benefits
and costs expected to result from the
rule, not just those benefits and costs
which could be expressed here in dollar
terms. A listing of the benefit categories
that were not quantified or monetized in
our estimate are provided in Table IV–
4. These effects are denoted by ‘‘B’’ in
Table IV–3 above, and are additive to
the estimates of benefits.
87 Mrozek, J.R. and L.O. Taylor, What determines
the value of a life? A Meta Analysis, Journal of
Policy Analysis and Management 21 (2), pp. 253–
270.
88 U.S. EPA. (2004). Air Quality Criteria for
Particulate Matter. Research Triangle Park, NC:
National Center for Environmental Assessment-RTP
Office; Report No. EPA/600/P–99/002aD.
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4. What Are the Unquantified and
Unmonetized Benefits of BART
Emissions Reductions?
Important benefits beyond the human
health and welfare benefits resulting
from reductions in ambient levels of
PM2.5 and ozone are expected to occur
from this rule. These other benefits
occur both directly from NOX and SO2
emissions reductions, and indirectly
through reductions in co-pollutants
such as mercury. These benefits are
listed in Table IV–4. Some of the more
important examples include: Reductions
in NOX and SO2 emissions required by
BART will reduce acidification and, in
the case of NOX, eutrophication of water
bodies. Reduced nitrate contamination
of drinking water is another possible
benefit of the rule. This final rule will
also reduce acid and particulate
deposition that cause damages to
cultural monuments, as well as, soiling
and other materials damage.
To illustrate the important nature of
benefit categories we are currently
unable to monetize, we discuss two
categories of public welfare and
environmental impacts related to
reductions in emissions required by
BART: reduced acid deposition and
reduced eutrophication of water bodies.
a. What Are the Benefits of Reduced
Deposition of Sulfur and Nitrogen to
Aquatic, Forest, and Coastal
Ecosystems?
Atmospheric deposition of sulfur and
nitrogen, more commonly known as
acid rain, occurs when emissions of SO2
and NOX react in the atmosphere (with
water, oxygen, and oxidants) to form
various acidic compounds. These acidic
compounds fall to earth in either a wet
form (rain, snow, and fog) or a dry form
(gases and particles). Prevailing winds
can transport acidic compounds
hundreds of miles, across State borders.
Acidic compounds (including small
particles such as sulfates and nitrates)
cause many negative environmental
effects, including acidification of lakes
and streams, harm to sensitive forests,
and harm to sensitive coastal
ecosystems.
i. Acid Deposition and Acidification of
Lakes and Streams
The extent of adverse effects of acid
deposition on freshwater and forest
ecosystems depends largely upon the
ecosystem’s ability to neutralize the
acid. The neutralizing ability [key
indicator is termed Acid Neutralizing
Capacity (ANC)] depends largely on the
watershed’s physical characteristics:
geology, soils, and size. Waters that are
sensitive to acidification tend to be
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located in small watersheds that have
few alkaline minerals and shallow soils.
Conversely, watersheds that contain
alkaline minerals, such as limestone,
tend to have waters with a high ANC.
Areas especially sensitive to
acidification include portions of the
Northeast (particularly, the Adirondack
and Catskill Mountains, portions of New
England, and streams in the midAppalachian highlands) and
southeastern streams.
ii. Acid Deposition and Forest
Ecosystem Impacts
Current understanding of the effects
of acid deposition on forest ecosystems
focuses on the effects of ecological
processes affecting plant uptake,
retention, and cycling of nutrients
within forest ecosystems. Recent studies
indicate that acid deposition is at least
partially responsible for decreases in
base cations (calcium, magnesium,
potassium, and others) from soils in the
northeastern and southeastern United
States. Losses of calcium from forest
soils and forested watersheds have now
been documented as a sensitive early
indicator of soil response to acid
deposition for a wide range of forest
soils in the United States.
In red spruce stands, a clear link
exists between acid deposition, calcium
supply, and sensitivity to abiotic stress.
Red spruce uptake and retention of
calcium is impacted by acid deposition
in two main ways: leaching of important
stores of calcium from needles and
decreased root uptake of calcium due to
calcium depletion from the soil and
aluminum mobilization. These changes
increase the sensitivity of red spruce to
winter injuries under normal winter
conditions in the Northeast, result in the
loss of needles, slow tree growth, and
impair the overall health and
productivity of forest ecosystems in
many areas of the eastern United States.
In addition, recent studies of sugar
maple decline in the Northeast
demonstrate a link between low base
cation availability, high levels of
aluminum and manganese in the soil,
and increased levels of tree mortality
due to native defoliating insects.
Although sulfate is the primary cause
of base cation leaching, nitrate is a
significant contributor in watersheds
that are nearly nitrogen saturated. Base
cation depletion is a cause for concern
because of the role these ions play in
surface water acid neutralization and
their importance as essential nutrients
for tree growth (calcium, magnesium
and potassium).
This regulatory action will decrease
acid deposition in the transport region
and is likely to have positive effects on
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39151
the health and productivity of forest
systems in the region.
iii. Coastal Ecosystems
Since 1990, a large amount of research
has been conducted on the impact of
nitrogen deposition to coastal waters.
Nitrogen is often the limiting nutrient in
coastal ecosystems. Increasing the levels
of nitrogen in coastal waters can cause
significant changes to those ecosystems.
In recent decades, human activities have
accelerated nitrogen nutrient inputs,
causing excessive growth of algae and
leading to degraded water quality and
associated impairments of estuarine and
coastal resources.
Atmospheric deposition of nitrogen is
a significant source of nitrogen to many
estuaries. The amount of nitrogen
entering estuaries due to atmospheric
deposition varies widely, depending on
the size and location of the estuarine
watershed and other sources of nitrogen
in the watershed. There are a few
estuaries where atmospheric deposition
of nitrogen contributes well over 40
percent of the total nitrogen load;
however, in most estuaries for which
estimates exist, the contribution from
atmospheric deposition ranges from 15–
30 percent. The area of the country with
the highest air deposition rates (30
percent deposition rates) includes many
estuaries along the northeast seaboard
from Massachusetts to the Chesapeake
Bay and along the central Gulf of
Mexico coast.
In 1999, National Oceanic and
Atmospheric Administration (NOAA)
published the results of a 5-year
national assessment of the severity and
extent of estuarine eutrophication. An
estuary is defined as the inland arm of
the sea that meets the mouth of a river.
The 138 estuaries characterized in the
study represent more than 90 percent of
total estuarine water surface area and
the total number of U.S. estuaries. The
study found that estuaries with
moderate to high eutrophication
represented 65 percent of the estuarine
surface area.
Eutrophication is of particular
concern in coastal areas with poor or
stratified circulation patterns, such as
the Chesapeake Bay, Long Island Sound,
and the Gulf of Mexico. In such areas,
the ‘‘overproduced’’ algae tends to sink
to the bottom and decay, using all or
most of the available oxygen and
thereby reducing or eliminating
populations of bottom-feeder fish and
shellfish, distorting the normal
population balance between different
aquatic organisms, and in extreme cases,
causing dramatic fish kills. Severe and
persistent eutrophication often directly
impacts human activities. For example,
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fishery resource losses can be caused
directly by fish kills associated with low
dissolved oxygen and toxic blooms.
Declines in tourism occur when low
dissolved oxygen causes Noxious smells
and floating mats of algal blooms create
unfavorable aesthetic conditions. Risks
to human health increase when the
toxins from algal blooms accumulate in
edible fish and shellfish, and when
toxins become airborne, causing
respiratory problems due to inhalation.
According to the NOAA report, more
than half of the nation’s estuaries have
moderate to high expressions of at least
one of these symptoms’an indication
that eutrophication is well developed in
more than half of U.S. estuaries.
This rule is anticipated to reduce
nitrogen deposition in the nation. Thus,
reductions in the levels of nitrogen
deposition will have a positive impact
upon current eutrophic conditions in
estuaries and coastal areas in the
country.
to generate, maintain, retain, or disclose
or provide information to or for a
Federal agency. This includes the time
needed to review instructions; develop,
acquire, install, and utilize technology
and systems for the purposes of
collecting, validating, and verifying
information, processing and
maintaining information, and disclosing
and providing information; adjust the
existing ways to comply with any
previously applicable instructions and
requirements; train personnel to be able
to respond to a collection of
information; search data sources;
complete and review the collection of
information; and transmit or otherwise
disclose the information.
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.
5. Are There Health or Welfare
Disbenefits of the BART That Have Not
Been Quantified?
disbenefits would be small, variable,
and with too many uncertainties to
attempt quantification of relatively
small changes in average ozone levels
over the course of a year (EPA, 2005a).
The EPA’s most recent provisional
assessment of the currently available
information indicates that potential but
unquantifiable benefits may also arise
from ozone-related attenuation of UVb
radiation (EPA, 2005b). Sulfate and
nitrate particles also scatter UVb, which
can decrease exposure of horizontal
surfaces to UVb, but increase exposure
of vertical surfaces. In this case as well,
both the magnitude and direction of the
effect of reductions in sulfate and nitrate
particles are too uncertain to quantify
(EPA, 2004). Ozone is a greenhouse gas,
and sulfates and nitrates can reduce the
amount of solar radiation reaching the
earth, but EPA believes that we are
unable to quantify any net climaterelated disbenefit or benefit associated
with the combined ozone and PM
reductions in this rule.
B. Paperwork Reduction Act
EPA has determined that it is not
necessary to prepare a regulatory
flexibility analysis in connection with
this final rule.
For purposes of assessing the impacts
of today’s rule on small entities, small
entity is defined as: (1) A small business
as defined by the Small Business
Administrations’ regulations at 13 CFR
121.201; (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.
Table IV–5 lists potentially impacted
BART industry source categories and
the current applicable small business
criteria established by the Small
Business Administration.
In contrast to the additional benefits
of the rule discussed above, it is also
possible that this rule will result in
disbenefits in some areas of the region.
Current levels of nitrogen deposition in
these areas may provide passive
fertilization for forest and terrestrial
ecosystems where nutrients are a
limiting factor and for some croplands.
The effects of ozone and PM on
radiative transfer in the atmosphere can
also lead to effects of uncertain
magnitude and direction on the
penetration of ultraviolet light and
climate. Ground level ozone makes up
a small percentage of total atmospheric
ozone (including the stratospheric layer)
that attenuates penetration of
ultraviolet—b (UVb) radiation to the
ground. The EPA’s past evaluation of
the information indicates that potential
Today’s rule clarifies, but does not
modify the information collection
requirements for BART. Therefore, this
action does not impose any new
information collection burden.
However, the OMB has previously
approved the information collection
requirements contained in the existing
regulations [40 CFR Part 51] under the
provisions of the Paperwork Reduction
Act, 44 U.S.C. 3501 et seq. and has
assigned OMB control number 2060–
0421, EPA ICR number 1813.04. A copy
of the OMB approved Information
Collection Request (ICR) may be
obtained from Susan Auby, Collection
Strategies Division; U.S. Environmental
Protection Agency (2822T); 1200
Pennsylvania Ave., NW, Washington,
DC 20460 or by calling (202) 566–1672.
Burden means the total time, effort, or
financial resources expended by persons
C. Regulatory Flexibility Act
TABLE IV–5. POTENTIALLY AFFECTED BART SOURCE CATEGORIES AND SMALL BUSINESS SIZE STANDARDS
NAICS a
Description
221112 c,d .....................
Fossil fuel-fired electric utility steam generating units ...........................................................
212112 .........................
311221 .........................
311311 .........................
311313 .........................
31214 ...........................
321212 .........................
322121 .........................
325188 .........................
325221 .........................
325222 .........................
325182 .........................
327213 .........................
327212 .........................
Bituminous Coal Underground Mining ...................................................................................
Wet Corn Milling .....................................................................................................................
Sugarcane Mills ......................................................................................................................
Beet Sugar Manufacturing .....................................................................................................
Distilleries ...............................................................................................................................
Softwood Veneer and Plywood Manufacturing ......................................................................
Paper (except Newsprint) Mills (pt) .......................................................................................
All Other Basic Inorganic Chemical Manufacturing (pt) ........................................................
Cellulosic Organic Fiber Manufacturing .................................................................................
Noncellulosic Organic Fiber Manufacturing ...........................................................................
Carbon Black Manufacturing (pt) ...........................................................................................
Glass Container Manufacturing .............................................................................................
Other Pressed and Blown Glass and Glassware Manufacturing ..........................................
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Size standard b
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06JYR3
electric output ≤ 4 million
megawatt hours.
500 Employees.
750 Employees.
500 Employees.
750 Employees.
750 Employees.
500 Employees.
750 Employees.
1,000 Employees.
1,000 Employees.
1,000 Employees.
500 Employees.
750 Employees.
750 Employees.
Federal Register / Vol. 70, No. 128 / Wednesday, July 6, 2005 / Rules and Regulations
39153
TABLE IV–5. POTENTIALLY AFFECTED BART SOURCE CATEGORIES AND SMALL BUSINESS SIZE STANDARDS—Continued
NAICS a
Description
Size standard b
32731 ...........................
32741 ...........................
331111 .........................
331315 .........................
331319 .........................
22121 ...........................
Cement Manufacturing ...........................................................................................................
Lime Manufacturing ................................................................................................................
Iron and Steel Mills ................................................................................................................
Aluminum Sheet, Plate, and Foil Manufacturing ...................................................................
Other Aluminum Rolling and Drawing ...................................................................................
Natural Gas Distribution .........................................................................................................
750 Employees.
500 Employees.
1,000 Employees.
750 Employees.
750 Employees.
500 Employees.
a North
American Industry Classification System.
Business Administration Size Criteria.
NAICS categories for source categories that own and operate electric generating units only.
d Federal, State, or local government-owned and operated establishments are classified according to the activity in which they are engaged.
b Small
c Include
After considering the economic
impacts of today’s final rule on small
entities, EPA has concluded that this
action will not have a significant
economic impact on a substantial
number of small entities. This final rule
will not impose any direct requirements
on small entities. The rule would apply
to States, not to small entities.
Courts have interpreted the RFA to
require a regulatory flexibility analysis
only when small entities will be subject
to the requirements of the rule. See
Motor and Equip. Mfrs. Ass’n v. Nichols,
142 F. 3d 449 (D.C. Cir., 1998); United
Distribution Cos. v. FERC, 88 F. 3d
1105, 1170 (D.C. Cir., 1996); Mid-Tex
Elec. Co-op, Inc. v. FERC, 773 F . 2d
327, 342 (D.C. Cir., 1985) (agency’s
certification need only consider the
rule’s impact on entities subject to the
rule).
BART requirements in the regional
haze rule require BART determinations
for a select list of major stationary
sources defined by section 169A(g)(7) of
the CAA. However, as noted in the
proposed and final regional haze rules,
the State’s determination of BART for
regional haze involves some State
discretion in considering a number of
factors set forth in section 169A(g)(2),
including the costs of compliance.
Further, the final regional haze rule
allows States to adopt alternative
measures in lieu of requiring the
installation and operation of BART at
these major stationary sources. As a
result, the potential consequences of the
BART provisions of the regional haze
rule (as clarified in today’s rule) at
specific sources are speculative. Any
requirements for BART will be
established by State rulemakings. The
States would accordingly exercise
substantial intervening discretion in
implementing the BART requirements
of the regional haze rule and today’s
guidelines.
EPA has undertaken an illustrative
analysis to assess the potential small
business impacts of BART based upon
EPA’s assessment of the actions States
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may take to comply with the BART rule
and guidelines.
For this final rule, the engineering
analysis conducted for the rulemaking
identified 491 EGU units potentially
affected by the outcome of this rule.
Using unit ORIS 89 numbers and the
Energy Information Administration’s
publicly available 2002 electric
generator databases (Form EIA 860 and
Form EIA 861), we identified utility
names, nameplate capacity for affected
units, and net electricity generation
potentially affected by this rule. After
identifying these units, we excluded
units that are located in CAIR regions in
order to identify those units most likely
affected by the BART regulatory
program. After an assessment of the
ownership of these remaining units, we
identified 2 potentially affected small
entities in the EGU sector. We used a
cost-to-sales approach (comparison of
expected annual costs of emission
controls to annual sales revenue or
government entity budgets for the
affected small entity) to assess the
potential impacts of BART for these
affected entities. Using data from the
cost analysis, EPA found one of these
small entities may experience a cost-tosales ratio of 3 percent of sales. The
other affected small entity in the EGU
sector does not face additional
compliance costs associated with the
rule.
The engineering analysis conducted
for the rulemaking identified over 2,000
records associated with affected nonEGU units (all source categories listed in
table IV–5 other than EGUs—NAICS
221112) potentially affected by the rule.
Using publicly available sales and
employment databases, plant names,
and locations, we identified 279 entities
and potential owners. In order to
classify affected ultimate entities as
small or large, EPA collected
information on facility names, parent
89 An ORIS code is a 4 digit number assigned by
the Energy Information Administration (EIA) at the
U.S. Department of Energy to power plants owned
by utilities.
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company sales, and parent company
employment data. Data were compared
with the appropriate size standard and
entities were classified as small or large
according to Small Business
Administration’s definitions. For
example, ultimate parent companies of
cement producers with employment
exceeding 750 employees were
classified as large companies. This
process identified 36 small companies
and 195 large companies potentially
impacted as a result promulgating this
rule. The remaining 48 entities were
either government-owned (25 entities,
primarily state universities) or parent
ownership could not be definitively
identified using available databases (23
entities).
Using the cost-to-sales approach
described above, EPA found that five
non-EGU source category small entities
may potentially be affected at or above
3 percent. Two entities may be affected
between one and three percent, and the
remaining small entity cost-to-sales
ratios are below one percent. The
median cost-to-sales ratio for non-EGU
source category small entities is
estimated to be 0.3 percent and could
potentially range from 0 to 20 percent.
As previously discussed this analysis is
illustrative and based upon EPA’s
assessment of actions States are likely to
take as a result of the BART rule and
guidelines promulgated today.
D. Unfunded Mandates Reform Act
Title II of the Unfunded Mandates
Reform Act of 1995 (Public Law 104–4)
establishes requirements for Federal
agencies to assess the effects of their
regulatory actions on State, local, and
Tribal governments and the private
sector. Under section 202 of UMRA, 2
U.S.C. 1532, EPA generally must
prepare a written statement, including a
cost-benefit analysis, for any proposed
or final rule that ‘‘includes any Federal
mandate that may result in the
expenditure by State, local, and tribal
governments, in the aggregate, or by the
private sector, of $100,000,000 or more
* * * in any one year.’’ A ‘‘Federal
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mandate’’ is defined under section
421(6), 2 U.S.C. 658(6), to include a
‘‘Federal intergovernmental mandate.’’
A ‘‘Federal intergovernmental
mandate,’’ in turn, is defined to include
a regulation that ‘‘would impose an
enforceable duty upon State, local, or
tribal governments,’’ section
421(5)(A)(I), 2 U.S.C. 658(5)(A)(I). A
‘‘Federal private sector mandate’’
includes a regulation that ‘‘would
impose an enforceable duty upon the
private sector,’’ with certain exceptions,
section 421(7)(A), 2 U.S.C. 658(7)(A).
Before promulgating an EPA rule for
which a written statement is needed
under section 202 of UMRA, section
205, 2 U.S.C. 1535, of UMRA generally
requires EPA to identify and consider a
reasonable number of regulatory
alternatives and adopt the least costly,
most cost effective, or least burdensome
alternative that achieves the objectives
of the rule.The RIA prepared by EPA
and placed in the docket for this
rulemaking is consistent with the
requirements of section 202 of the
UMRA. Furthermore, EPA is not
directly establishing any regulatory
requirements that may significantly or
uniquely affect small governments,
including tribal governments. Thus,
EPA is not obligated to develop under
section 203 of the UMRA a small
government agency plan. Further, EPA
carried out consultations with the
governmental entities affected by this
rule in a manner consistent with the
intergovernmental consultation
provisions of section 204 of the UMRA.
The EPA also believes that today’s
rule meets the UMRA requirement in
section 205 to select the least costly and
burdensome alternative in light of the
statutory mandate for BART. As
explained above, we are promulgating
the BART rule and guidelines following
the D.C. Circuit’s remand of the BART
provisions in the 1999 regional haze
rule. The 1999 regional haze rule
provides substantial flexibility to the
States, allowing them to adopt
alternative measures such as a trading
program in lieu of requiring the
installation and operation of BART. The
provisions governing such alternative
measures were affected by a more recent
decision of the D.C. Circuit and will be
revised in a separate rulemaking
process. Today’s rule will not restrict
the ability of the States to adopt such
alternatives measures once those
revisions to the regional haze rule have
been made final. This will provide an
alternative to BART that gives States the
ability to choose the least costly and
least burdensome alternative. Today’s
rule also allows States affected by the
Clean Air Interstate Rule to utilize
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emission reductions achieved by EGUs
under that rule to satisfy BART
requirements for those sources. This
will provide those States with another
cost effective and less burdensome
alternative to BART.
The EPA is not reaching a final
conclusion as to the applicability of
UMRA to today’s rulemaking action.
The reasons for this are discussed in the
1999 regional haze rule (64 FR 35762)
and in the 2001 BART guidelines
proposal (66 FR 38111–38112).
Notwithstanding this, the discussion in
chapter 9 of the RIA constitutes the
UMRA statement that would be required
by UMRA if its statutory provisions
applied. Consequently, we continue to
believe that it is not necessary to reach
a conclusion as to the applicability of
the UMRA requirements.
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.’’ Such policies are 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.’’ Under
section 6 of Executive Order 13132, EPA
may not issue a regulation that has
federalism implications, that imposes
substantial direct compliance costs, and
that is not required by statute, unless
the Federal government provides the
funds necessary to pay the direct
compliance costs incurred by State and
local governments, or EPA consults with
State and local officials early in the
process of developing the regulation.
The EPA also may not issue a regulation
that has federalism implications and
that preempts State law unless EPA
consults with State and local officials
early in the process of developing the
regulation.
We have concluded that today’s
action, promulgating the BART
guidelines, will not have federalism
implications, as specified in section 6 of
the Executive Order 13132 (64 FR
43255, August 10, 1999) because it will
not have substantial direct effects on the
States, nor substantially alter the
relationship or the distribution of power
and responsibilities between the States
and the Federal government.
Nonetheless, we consulted with a wide
scope of State and local officials,
including the National Governors
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Association, the National League of
Cities, the National Conference of State
Legislatures, the U. S. Conference of
Mayors, the National Association of
Counties, the Council of State
Governments, the International City/
County Management Association, and
the National Association of Towns and
Townships during the course of
developing this rule.
F. Executive Order 13175: Consultation
and Coordination With Indian Tribal
Governments
Executive Order 13175, entitled
‘‘Consultation and Coordination with
Indian Tribal Governments’’ (65 FR
67249, November 9, 2000), requires EPA
to develop an accountable process to
ensure ‘‘meaningful and timely input by
Tribal officials in the development of
regulatory policies that have Tribal
implications.’’
This rule does not have Tribal
implications as defined by Executive
Order 13175. It does not have a
substantial direct effect on one or more
Indian Tribes. Furthermore, this rule
does not affect the relationship or
distribution of power and
responsibilities between the Federal
government and Indian Tribes. The
CAA and the TAR establish the
relationship of the Federal government
and Tribes in developing plans to
address air quality issues, and this rule
does nothing to modify that
relationship. This rule does not have
Tribal implications, and Executive
Order 13175 does not apply to this
rulemaking.
G. Executive Order 13045: Protection of
Children From Environmental Health
and Safety Risks
Executive Order 13045, ‘‘Protection of
Children from Environmental Health
Risks and Safety Risks’’ (62 FR 19885,
April 23, 1997) applies to any rule that
(1) is determined to be ‘‘economically
significant’’ as defined under Executive
Order 12866 and (2) concerns an
environmental health or safety risk that
EPA has reason to believe may have a
disproportionate effect on children. If
the regulatory action meets both criteria,
Section 5–501 of the Order directs the
Agency to evaluate the environmental
health or safety effects of the planned
rule on children and to explain why the
planned regulation is preferable to other
potentially effective and reasonably
feasible alternatives considered by the
Agency.
EPA interprets Executive Order 13045
as applying only to those regulatory
actions that are based on health and
safety risks, such that the analysis
required under section 5–501 of the
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Order has the potential to influence the
regulation. The BART rule and
guidelines are not subject to the
Executive Order because the rule and
guidelines do not involve decisions on
environmental health or safety risks that
may disproportionately affect children.
The EPA believes that the emissions
reductions from the control strategies
considered in this rulemaking will
further improve air quality and will
further improve children’s health.
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
We have conducted a Regulatory
Impact Analysis for this rule, that
includes an analysis of energy impacts
and is contained in the docket (Docket
No. OAR–2002–0076). This rule is not a
‘‘significant energy action’’ as defined in
Executive Order 13211, ‘‘Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use’’ (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.
This rule is not a ‘‘significant energy
action,’’ because it will have less than
a 1 percent impact on the cost of energy
production and does not exceed other
factors described by OMB that may
indicate a significant adverse effect.
(See, ‘‘Guidance for Implementing E.O.
13211,’’ OMB Memorandum 01–27 (July
13, 2001) https://www.whitehouse.gov/
omb/memoranda/m01–27.html.)
Specifically, the presumptive
requirements for EGUs for this rule,
when fully implemented, are expected
have a 0.25 percent impact on the cost
of energy production for the nation in
2015. States must use the guidelines in
making BART determinations for power
plants with a generating capacity in
excess of 750 MW. Our analysis
evaluates the impact of the presumptive
requirements for these sources and does
not consider any possible additional
controls for EGU sources or non-EGU
sources that States may require.
Although States may choose to use the
guidelines in establishing BART limits
for non-EGUs , ultimately States will
determine the sources subject to BART
and the appropriate level of control for
such sources.
We are finalizing today’s rule
following the D.C. Circuit’s remand of
the BART provisions in the 1999
regional haze rule. The 1999 regional
haze rule provides substantial flexibility
to the States, allowing them to adopt
alternative measures such as a trading
program in lieu of requiring the
installation and operation of BART. The
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provisions governing such alternative
measures were affected by a more recent
decision of the D.C. Circuit and will be
revised in a separate rulemaking
process. This rulemaking will not
restrict the ability of the States to adopt
alternative measures once those
revisions to the regional haze rule have
been made final. This will provide an
alternative to BART that reduces the
overall cost of the regulation and its
impact on the energy supply. Today’s
rule also allows States affected by the
Clean Air Interstate Rule to utilize
emission reductions achieved by EGUs
under that rule to satisfy BART
requirements for those sources. This
will provide those States with another
cost effective and less burdensome
alternative to BART. The BART rule
itself offers flexibility by offering the
choice of meeting SO2 requirements
between an emission rate and a removal
rate.
For a State that chooses to require
case-by-case BART, today’s rule would
establish presumptive levels of controls
for SO2 and NOX for certain EGUs that
the State finds are subject to BART.
Based on its consideration of various
factors set forth in the regulations;
however, a State may conclude that a
different level of control is appropriate.
The States will accordingly exercise
substantial intervening discretion in
implementing the final rule.
Additionally, we have assessed that the
compliance dates for the rule will
provide adequate time for EGUs to
install the required emission controls.
I. National Technology Transfer and
Advancement Act
Section 12(d) of the National
Technology Transfer Advancement Act
of 1995 (NTTAA), Public Law 104–113,
section 12(d)(15 U.S.C. 272 note) directs
EPA to use voluntary consensus
standards (VCS) 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 VCS bodies. The NTTAA
directs EPA to provide Congress,
through OMB, explanations when the
EPA decides not to use VCS.
This action does not involve technical
standards; thus, EPA did not consider
the use of any VCS.
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39155
J. Executive Order 12898: Federal
Actions To Address Environmental
Justice in Minority Populations and
Low-Income Populations
Executive Order 12898, ‘‘Federal
Actions to Address Environmental
Justice in Minority Populations and
Low-Income Populations,’’ requires
federal agencies to consider the impact
of programs, policies, and activities on
minority populations and low-income
populations. According to EPA
guidance,90 agencies are to assess
whether minority or low-income
populations face risks or a rate of
exposure to hazards that are significant
and that ‘‘appreciably exceed or is likely
to appreciably exceed the risk or rate to
the general population or to the
appropriate comparison group.’’ (EPA,
1998)
In accordance with Executive Order
12898, the Agency has considered
whether this rule may have
disproportionate negative impacts on
minority or low income populations.
Negative impacts to these subpopulations that appreciably exceed
similar impacts to the general
population are not expected because the
Agency expects this rule to lead to
reductions in air pollution emissions
and exposures generally.
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. The 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).
List of Subjects in 40 CFR Part 51
Environmental protection, Air
pollution control, Administrative
practice and procedure,
Intergovernmental relations, Lead,
Nitrogen dioxide, Ozone, Particulate
matter, Reporting and recordkeeping
90 U.S. Environmental Protection Agency, 1998.
Guidance for Incorporating Environmental Justice
Concerns in EPA’s NEPA Compliance Analyses.
Office of Federal Activities, Washington, D.C.,
April, 1998.
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requirements, Sulfur oxides, Volatile
organic compounds.
§ 51.308 Regional haze program
requirements.
Dated: June 15, 2005.
Stephen L. Johnson,
Administrator.
*
For the reasons set forth in the
preamble, part 51 of chapter I of title 40
of the Code of Federal Regulations is
amended as follows:
I
PART 51—REQUIREMENTS FOR
PREPARATION, ADOPTION, AND
SUBMITTAL OF IMPLEMENTATION
PLANS
1. The authority citation for part 51
continues to read as follows:
I
Authority: 23 U.S.C. 101; 42 U.S.C. 7410–
7671q.
2. Section 51.302 is amended by
revising paragraph (c)(4)(iii) to read as
follows:
I
§ 51.302 Implementation control strategies
for reasonably attributable visibility
impairment.
*
*
*
*
*
(c) * * *
(4) * * *
(iii) BART must be determined for
fossil-fuel fired generating plants having
a total generating capacity in excess of
750 megawatts pursuant to ‘‘Guidelines
for Determining Best Available Retrofit
Technology for Coal-fired Power Plants
and Other Existing Stationary Facilities’’
(1980), which is incorporated by
reference, exclusive of appendix E to the
Guidelines, except that options more
stringent than NSPS must be
considered. Establishing a BART
emission limitation equivalent to the
NSPS level of control is not a sufficient
basis to avoid the analysis of control
options required by the guidelines. This
document is EPA publication No. 450/
3–80–009b and has been approved for
incorporation by reference by the
Director of the Federal Register in
accordance with 5 U.S.C. 552(a) and 1
CFR part 51. It is for sale from the U.S.
Department of Commerce, National
Technical Information Service, 5285
Port Royal Road, Springfield, Virginia
22161. It is also available for inspection
from 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/.
*
*
*
*
*
I 3. Section 51.308 is amended by
revising paragraph (b), removing and
reserving paragraph (c), revising
paragraphs (e)(1)(ii), (e)(3), and (e)(4),
and adding paragaphs (e)(5) and (6) to
read as follows:
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*
*
*
*
(b) When are the first implementation
plans due under the regional haze
program? Except as provided in
§ 51.309(c), each State identified in
§ 51.300(b)(3) must submit, for the
entire State, an implementation plan for
regional haze meeting the requirements
of paragraphs (d) and (e) of this section
no later than December 17, 2007.
(c) [Reserved]
*
*
*
*
*
(e) * * *
(1) * * *
(ii) A determination of BART for each
BART-eligible source in the State that
emits any air pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of
visibility in any mandatory Class I
Federal area. All such sources are
subject to BART.
(A) The determination of BART must
be based on an analysis of the best
system of continuous emission control
technology available and associated
emission reductions achievable for each
BART-eligible source that is subject to
BART within the State. In this analysis,
the State must take into consideration
the technology available, the costs of
compliance, the energy and nonair
quality environmental impacts of
compliance, any pollution control
equipment in use at the source, the
remaining useful life of the source, and
the degree of improvement in visibility
which may reasonably be anticipated to
result from the use of such technology.
(B) The determination of BART for
fossil-fuel fired power plants having a
total generating capacity greater than
750 megawatts must be made pursuant
to the guidelines in appendix Y of this
part (Guidelines for BART
Determinations Under the Regional
Haze Rule).
(C) Exception. A State is not required
to make a determination of BART for
SO2 or for NOX if a BART-eligible
source has the potential to emit less
than 40 tons per year of such
pollutant(s), or for PM10 if a BARTeligible source emits less than 15 tons
per year of such pollutant.
*
*
*
*
*
(3) A State which opts under 40 CFR
51.308(e)(2) to implement an emissions
trading program or other alternative
measure rather than to require sources
subject to BART to install, operate, and
maintain BART may satisfy the final
step of the demonstration required by
that section as follows: If the
distribution of emissions is not
substantially different than under
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BART, and the alternative measure
results in greater emission reductions,
then the alternative measure may be
deemed to achieve greater reasonable
progress. If the distribution of emissions
is significantly different, the State must
conduct dispersion modeling to
determine differences in visibility
between BART and the trading program
for each impacted Class I area, for the
worst and best 20 percent of days. The
modeling would demonstrate ‘‘greater
reasonable progress’’ if both of the
following two criteria are met:
(i) Visibility does not decline in any
Class I area, and
(ii) There is an overall improvement
in visibility, determined by comparing
the average differences between BART
and the alternative over all affected
Class I areas.
(4) A State that opts to participate in
the Clean Air Interstate Rule cap-andtrade and trade program under part 96
AAA–EEE need not require affected
BART-eligible EGU’s to install, operate,
and maintain BART. A State that
chooses this option may also include
provisions for a geographic
enhancement to the program to address
the requirement under § 51.302(c)
related to BART for reasonably
attributable impairment from the
pollutants covered by the CAIR cap-andtrade program.
(5) After a State has met the
requirements for BART or implemented
emissions trading program or other
alternative measure that achieves more
reasonable progress than the installation
and operation of BART, BART-eligible
sources will be subject to the
requirements of paragraph (d) of this
section in the same manner as other
sources.
(6) Any BART-eligible facility subject
to the requirement under paragraph (e)
of this section to install, operate, and
maintain BART may apply to the
Administrator for an exemption from
that requirement. An application for an
exemption will be subject to the
requirements of § 51.303(a)(2)–(h).
*
*
*
*
*
I 4. Appendix Y to Part 51 is added to
read as follows:
Appendix Y to Part 51—Guidelines for
BART Determinations Under the
Regional Haze Rule
Table of Contents
I. Introduction and Overview
A. What is the purpose of the guidelines?
B. What does the CAA require generally for
improving visibility?
C. What is the BART requirement in the
CAA?
D. What types of visibility problems does
EPA address in its regulations?
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E. What are the BART requirements in
EPA’s regional haze regulations?
F. What is included in the guidelines?
G. Who is the target audience for the
guidelines?
H. Do EPA regulations require the use of
these guidelines?
II. How to Identify BART-eligible Sources
A. What are the steps in identifying BARTeligible sources?
1. Step 1: Identify emission units in the
BART categories
2. Step 2: Identify the start-up dates of the
emission units
3. Step 3: Compare the potential emissions
to the 250 ton/yr cutoff
4. Final step: Identify the emission units
and pollutants that constitute the BARTeligible source.
III. How to Identify Sources ‘‘Subject to
BART’’
IV. The BART Determination: Analysis of
BART Options
A. What factors must I address in the
BART Analysis?
B. What is the scope of the BART review?
C. How does a BART review relate to
maximum achievable control technology
(MACT) standards under CAA section
112?
D. What are the five basic steps of a caseby-case BART analysis?
1. Step 1: How do I identify all available
retrofit emission control techniques?
2. Step 2: How do I determine whether the
options identified in Step 1 are
technically feasible?
3. Step 3: How do I evaluate technically
feasible alternatives?
4. Step 4: For a BART review, what
impacts am I expected to calculate and
report? What methods does EPA
recommend for the impacts analyses?
a. Impact analysis part 1: how do I estimate
the costs of control?
b. What do we mean by cost effectiveness?
c. How do I calculate average cost
effectiveness?
d. How do I calculate baseline emissions?
e. How do I calculate incremental cost
effectiveness?
f. What other information should I provide
in the cost impacts analysis?
g. What other things are important to
consider in the cost impacts analysis?
h. Impact analysis part 2: How should I
analyze and report energy impacts?
i. Impact analysis part 3: How do I analyze
‘‘non-air quality environmental
impacts?’’
j. Impact analysis part 4: What are
examples of non-air quality
environmental impacts?
k. How do I take into account a project’s
‘‘remaining useful life’’ in calculating
control costs?
5. Step 5: How should I determine
visibility impacts in the BART
determination?
E. How do I select the ‘‘best’’ alternative,
using the results of Steps 1 through 5?
1. Summary of the impacts analysis
2. Selecting a ‘‘best’’ alternative
3. In selecting a ‘‘best’’ alternative, should
I consider the affordability of controls?
4. SO2 limits for utility boilers
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5. NOX limits for utility boilers
V. Enforceable Limits/Compliance Date
I. Introduction and Overview
A. What is the purpose of the guidelines?
The Clean Air Act (CAA), in sections 169A
and 169B, contains requirements for the
protection of visibility in 156 scenic areas
across the United States. To meet the CAA’s
requirements, we published regulations to
protect against a particular type of visibility
impairment known as ‘‘regional haze.’’ The
regional haze rule is found in this part at 40
CFR 51.300 through 51.309. These
regulations require, in 40 CFR 51.308(e), that
certain types of existing stationary sources of
air pollutants install best available retrofit
technology (BART). The guidelines are
designed to help States and others (1)
identify those sources that must comply with
the BART requirement, and (2) determine the
level of control technology that represents
BART for each source.
B. What does the CAA require generally for
improving visibility?
Section 169A of the CAA, added to the
CAA by the 1977 amendments, requires
States to protect and improve visibility in
certain scenic areas of national importance.
The scenic areas protected by section 169A
are ‘‘the mandatory Class I Federal Areas
* * * where visibility is an important
value.’’ In these guidelines, we refer to these
as ‘‘Class I areas.’’ There are 156 Class I areas,
including 47 national parks (under the
jurisdiction of the Department of Interior—
National Park Service), 108 wilderness areas
(under the jurisdiction of the Department of
the Interior—Fish and Wildlife Service or the
Department of Agriculture—U.S. Forest
Service), and one International Park (under
the jurisdiction of the Roosevelt-Campobello
International Commission). The Federal
Agency with jurisdiction over a particular
Class I area is referred to in the CAA as the
Federal Land Manager. A complete list of the
Class I areas is contained in 40 CFR 81.401
through 81.437, and you can find a map of
the Class I areas at the following Internet site:
https://www.epa.gov/ttn/oarpg/t1/fr_notices/
classimp.gif.
The CAA establishes a national goal of
eliminating man-made visibility impairment
from all Class I areas. As part of the plan for
achieving this goal, the visibility protection
provisions in the CAA mandate that EPA
issue regulations requiring that States adopt
measures in their State implementation plans
(SIPs), including long-term strategies, to
provide for reasonable progress towards this
national goal. The CAA also requires States
to coordinate with the Federal Land
Managers as they develop their strategies for
addressing visibility.
C. What is the BART requirement in the
CAA?
1. Under section 169A(b)(2)(A) of the CAA,
States must require certain existing stationary
sources to install BART. The BART provision
applies to ‘‘major stationary sources’’ from 26
identified source categories which have the
potential to emit 250 tons per year or more
of any air pollutant. The CAA requires only
sources which were put in place during a
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39157
specific 15-year time interval to be subject to
BART. The BART provision applies to
sources that existed as of the date of the 1977
CAA amendments (that is, August 7, 1977)
but which had not been in operation for more
than 15 years (that is, not in operation as of
August 7, 1962).
2. The CAA requires BART review when
any source meeting the above description
‘‘emits any air pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of visibility’’ in
any Class I area. In identifying a level of
control as BART, States are required by
section 169A(g) of the CAA to consider:
(a) The costs of compliance,
(b) The energy and non-air quality
environmental impacts of compliance,
(c) Any existing pollution control
technology in use at the source,
(d) The remaining useful life of the source,
and
(e) The degree of visibility improvement
which may reasonably be anticipated from
the use of BART.
3. The CAA further requires States to make
BART emission limitations part of their SIPs.
As with any SIP revision, States must
provide an opportunity for public comment
on the BART determinations, and EPA’s
action on any SIP revision will be subject to
judicial review.
D. What types of visibility problems does EPA
address in its regulations?
1. We addressed the problem of visibility
in two phases. In 1980, we published
regulations addressing what we termed
‘‘reasonably attributable’’ visibility
impairment. Reasonably attributable
visibility impairment is the result of
emissions from one or a few sources that are
generally located in close proximity to a
specific Class I area. The regulations
addressing reasonably attributable visibility
impairment are published in 40 CFR 51.300
through 51.307.
2. On July 1, 1999, we amended these
regulations to address the second, more
common, type of visibility impairment
known as ‘‘regional haze.’’ Regional haze is
the result of the collective contribution of
many sources over a broad region. The
regional haze rule slightly modified 40 CFR
51.300 through 51.307, including the
addition of a few definitions in § 51.301, and
added new §§ 51.308 and 51.309.
E. What are the BART requirements in EPA’s
regional haze regulations?
1. In the July 1, 1999 rulemaking, we added
a BART requirement for regional haze. We
amended the BART requirements in 2005.
You will find the BART requirements in 40
CFR 51.308(e). Definitions of terms used in
40 CFR 51.308(e)(1) are found in 40 CFR
51.301.
2. As we discuss in detail in these
guidelines, the regional haze rule codifies
and clarifies the BART provisions in the
CAA. The rule requires that States identify
and list ‘‘BART-eligible sources,’’ that is, that
States identify and list those sources that fall
within the 26 source categories, were put in
place during the 15-year window of time
from 1962 to 1977, and have potential
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emissions greater than 250 tons per year.
Once the State has identified the BARTeligible sources, the next step is to identify
those BART-eligible sources that may ‘‘emit
any air pollutant which may reasonably be
anticipated to cause or contribute to any
impairment of visibility.’’ Under the rule, a
source which fits this description is ‘‘subject
to BART.’’ For each source subject to BART,
40 CFR 51.308(e)(1)(ii)(A) requires that States
identify the level of control representing
BART after considering the factors set out in
CAA section 169A(g), as follows:
—States must identify the best system of
continuous emission control technology for
each source subject to BART taking into
account the technology available, the costs
of compliance, the energy and non-air
quality environmental impacts of
compliance, any pollution control
equipment in use at the source, the
remaining useful life of the source, and the
degree of visibility improvement that may
be expected from available control
technology.
3. After a State has identified the level of
control representing BART (if any), it must
establish an emission limit representing
BART and must ensure compliance with that
requirement no later than 5 years after EPA
approves the SIP. States may establish
design, equipment, work practice or other
operational standards when limitations on
measurement technologies make emission
standards infeasible.
F. What is included in the guidelines?
1. The guidelines provide a process for
making BART determinations that States can
use in implementing the regional haze BART
requirements on a source-by-source basis, as
provided in 40 CFR 51.308(e)(1). States must
follow the guidelines in making BART
determinations on a source-by-source basis
for 750 megawatt (MW) power plants but are
not required to use the process in the
guidelines when making BART
determinations for other types of sources.
2. The BART analysis process, and the
contents of these guidelines, are as follows:
(a) Identification of all BART-eligible
sources. Section II of these guidelines
outlines a step-by-step process for identifying
BART-eligible sources.
(b) Identification of sources subject to
BART. As noted above, sources ‘‘subject to
BART’’ are those BART-eligible sources
which ‘‘emit a pollutant which may
reasonably be anticipated to cause or
contribute to any impairment of visibility in
any Class I area.’’ We discuss considerations
for identifying sources subject to BART in
section III of the guidance.
(c) The BART determination process. For
each source subject to BART, the next step
is to conduct an analysis of emissions control
alternatives. This step includes the
identification of available, technically
feasible retrofit technologies, and for each
technology identified, an analysis of the cost
of compliance, the energy and non-air quality
environmental impacts, and the degree of
visibility improvement in affected Class I
areas resulting from the use of the control
technology. As part of the BART analysis, the
State should also take into account the
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remaining useful life of the source and any
existing control technology present at the
source. For each source, the State will
determine a ‘‘best system of continuous
emission reduction’’ based upon its
evaluation of these factors. Procedures for the
BART determination step are described in
section IV of these guidelines.
(d) Emissions limits. States must establish
emission limits, including a deadline for
compliance, consistent with the BART
determination process for each source subject
to BART. Considerations related to these
limits are discussed in section V of these
guidelines.
G. Who is the target audience for the
guidelines?
1. The guidelines are written primarily for
the benefit of State, local and Tribal agencies,
and describe a process for making the BART
determinations and establishing the emission
limitations that must be included in their
SIPs or Tribal implementation plans (TIPs).
Throughout the guidelines, which are written
in a question and answer format, we ask
questions ‘‘How do I * * *? ’’ and answer
with phrases ‘‘you should * * *, you must
* * * ’’ The ‘‘you’’ means a State, local or
Tribal agency conducting the analysis. We
have used this format to make the guidelines
simpler to understand, but we recognize that
States have the authority to require source
owners to assume part of the analytical
burden, and that there will be differences in
how the supporting information is collected
and documented. We also recognize that data
collection, analysis, and rule development
may be performed by Regional Planning
Organizations, for adoption within each SIP
or TIP.
2. The preamble to the 1999 regional haze
rule discussed at length the issue of Tribal
implementation of the requirements to
submit a plan to address visibility. As
explained there, requirements related to
visibility are among the programs for which
Tribes may be determined eligible and
receive authorization to implement under the
‘‘Tribal Authority Rule’’ (‘‘TAR’’) (40 CFR
49.1 through 49.11). Tribes are not subject to
the deadlines for submitting visibility
implementation plans and may use a
modular approach to CAA implementation.
We believe there are very few BART-eligible
sources located on Tribal lands. Where such
sources exist, the affected Tribe may apply
for delegation of implementation authority
for this rule, following the process set forth
in the TAR.
H. Do EPA regulations require the use of
these guidelines?
Section 169A(b) requires us to issue
guidelines for States to follow in establishing
BART emission limitations for fossil-fuel
fired power plants having a capacity in
excess of 750 megawatts. This document
fulfills that requirement, which is codified in
40 CFR 51.308(e)(1)(ii)(B). The guidelines
establish an approach to implementing the
requirements of the BART provisions of the
regional haze rule; we believe that these
procedures and the discussion of the
requirements of the regional haze rule and
the CAA should be useful to the States. For
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sources other than 750 MW power plants,
however, States retain the discretion to adopt
approaches that differ from the guidelines.
II. How to Identify BART-Eligible Sources
This section provides guidelines on how to
identify BART-eligible sources. A BARTeligible source is an existing stationary
source in any of 26 listed categories which
meets criteria for startup dates and potential
emissions.
A. What are the steps in identifying BARTeligible sources?
Figure 1 shows the steps for identifying
whether the source is a ‘‘BART-eligible
source:’’
Step 1: Identify the emission units in the
BART categories,
Step 2: Identify the start-up dates of those
emission units, and
Step 3: Compare the potential emissions to
the 250 ton/yr cutoff.
Figure 1. How to determine whether a
source is BART-eligible:
Step 1: Identify emission units in the
BART categories
Does the plant contain emissions units in one
or more of the 26 source categories?
➜ No
➜ Stop
➜ Yes
➜ Proceed to Step 2
Step 2: Identify the start-up dates of these
emission units
Do any of these emissions units meet the
following two tests?
In existence on August 7, 1977
AND
Began operation after August 7, 1962
➜ No
➜ Stop
➜ Yes
➜ Proceed to Step 3
Step 3: Compare the potential emissions
from these emission units to the 250 ton/yr
cutoff
Identify the ‘‘stationary source’’ that
includes the emission units you
identified in Step 2.
Add the current potential emissions from
all the emission units identified in Steps
1 and 2 that are included within the
‘‘stationary source’’ boundary.
Are the potential emissions from these
units 250 tons per year or more for any
visibility-impairing pollutant?
➜ No
➜ Stop
➜ Yes
➜ These emissions units
comprise the ‘‘BART-eligible source.’’
1. Step 1: Identify Emission Units in the
BART Categories
1. The BART requirement only applies to
sources in specific categories listed in the
CAA. The BART requirement does not apply
to sources in other source categories,
regardless of their emissions. The listed
categories are:
(1) Fossil-fuel fired steam electric plants of
more than 250 million British thermal units
(BTU) per hour heat input,
(2) Coal cleaning plants (thermal dryers),
(3) Kraft pulp mills,
(4) Portland cement plants,
(5) Primary zinc smelters,
(6) Iron and steel mill plants,
(7) Primary aluminum ore reduction
plants,
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(8) Primary copper smelters,
(9) Municipal incinerators capable of
charging more than 250 tons of refuse per
day,
(10) Hydrofluoric, sulfuric, and nitric acid
plants,
(11) Petroleum refineries,
(12) Lime plants,
(13) Phosphate rock processing plants,
(14) Coke oven batteries,
(15) Sulfur recovery plants,
(16) Carbon black plants (furnace process),
(17) Primary lead smelters,
(18) Fuel conversion plants,
(19) Sintering plants,
(20) Secondary metal production facilities,
(21) Chemical process plants,
(22) Fossil-fuel boilers of more than 250
million BTUs per hour heat input,
(23) Petroleum storage and transfer
facilities with a capacity exceeding 300,000
barrels,
(24) Taconite ore processing facilities,
(25) Glass fiber processing plants, and
(26) Charcoal production facilities.
2. Some plants may have emission units
from more than one category, and some
emitting equipment may fit into more than
one category. Examples of this situation are
sulfur recovery plants at petroleum
refineries, coke oven batteries and sintering
plants at steel mills, and chemical process
plants at refineries. For Step 1, you identify
all of the emissions units at the plant that fit
into one or more of the listed categories. You
do not identify emission units in other
categories.
Example: A mine is collocated with an
electric steam generating plant and a coal
cleaning plant. You would identify emission
units associated with the electric steam
generating plant and the coal cleaning plant,
because they are listed categories, but not the
mine, because coal mining is not a listed
category.
3. The category titles are generally clear in
describing the types of equipment to be
listed. Most of the category titles are very
broad descriptions that encompass all
emission units associated with a plant site
(for example, ‘‘petroleum refining’’ and ‘‘kraft
pulp mills’’). This same list of categories
appears in the PSD regulations. States and
source owners need not revisit any
interpretations of the list made previously for
purposes of the PSD program. We provide the
following clarifications for a few of the
category titles:
(1) ‘‘Steam electric plants of more than 250
million BTU/hr heat input.’’ Because the
category refers to ‘‘plants,’’ we interpret this
category title to mean that boiler capacities
should be aggregated to determine whether
the 250 million BTU/hr threshold is reached.
This definition includes only those plants
that generate electricity for sale. Plants that
cogenerate steam and electricity also fall
within the definition of ‘‘steam electric
plants’’. Similarly, combined cycle turbines
are also considered ‘‘steam electric plants’’
because such facilities incorporate heat
recovery steam generators. Simple cycle
turbines, in contrast, are not ‘‘steam electric
plants’’ because these turbines typically do
not generate steam.
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Example: A stationary source includes a
steam electric plant with three 100 million
BTU/hr boilers. Because the aggregate
capacity exceeds 250 million BTU/hr for the
‘‘plant,’’ these boilers would be identified in
Step 2.
(2) ‘‘Fossil-fuel boilers of more than 250
million BTU/hr heat input.’’ We interpret this
category title to cover only those boilers that
are individually greater than 250 million
BTU/hr. However, an individual boiler
smaller than 250 million BTU/hr should be
subject to BART if it is an integral part of a
process description at a plant that is in a
different BART category—for example, a
boiler at a Kraft pulp mill that, in addition
to providing steam or mechanical power,
uses the waste liquor from the process as a
fuel. In general, if the process uses any byproduct of the boiler and the boiler’s function
is to serve the process, then the boiler is
integral to the process and should be
considered to be part of the process
description.
Also, you should consider a multi-fuel
boiler to be a ‘‘fossil-fuel boiler’’ if it burns
any amount of fossil fuel. You may take
federally and State enforceable operational
limits into account in determining whether a
multi-fuel boiler’s fossil fuel capacity
exceeds 250 million Btu/hr.
(3) ‘‘Petroleum storage and transfer
facilities with a capacity exceeding 300,000
barrels.’’ The 300,000 barrel cutoff refers to
total facility-wide tank capacity for tanks that
were put in place within the 1962–1977 time
period, and includes gasoline and other
petroleum-derived liquids.
(4) ‘‘Phosphate rock processing plants.’’
This category descriptor is broad, and
includes all types of phosphate rock
processing facilities, including elemental
phosphorous plants as well as fertilizer
production plants.
(5) ‘‘Charcoal production facilities.’’ We
interpret this category to include charcoal
briquet manufacturing and activated carbon
production.
(6) ‘‘Chemical process plants.’’ and
pharmaceutical manufacturing. Consistent
with past policy, we interpret the category
‘‘chemical process plants’’ to include those
facilities within the 2-digit Standard
Industrial Classification (SIC) code 28.
Accordingly, we interpret the term ‘‘chemical
process plants’’ to include pharmaceutical
manufacturing facilities.
(7) ‘‘Secondary metal production.’’ We
interpret this category to include nonferrous
metal facilities included within SIC code
3341, and secondary ferrous metal facilities
that we also consider to be included within
the category ‘‘iron and steel mill plants.’’
(8) ‘‘Primary aluminum ore reduction.’’ We
interpret this category to include those
facilities covered by 40 CFR 60.190, the new
source performance standard (NSPS) for
primary aluminum ore reduction plants. This
definition is also consistent with the
definition at 40 CFR 63.840.
2. Step 2: Identify the Start-Up Dates of the
Emission Units
1. Emissions units listed under Step 1 are
BART-eligible only if they were ‘‘in
existence’’ on August 7, 1977 but were not
‘‘in operation’’ before August 7, 1962.
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39159
What does ‘‘in existence on August 7, 1977’’
mean?
2. The regional haze rule defines ‘‘in
existence’’ to mean that:
‘‘the owner or operator has obtained all
necessary preconstruction approvals or
permits required by Federal, State, or local
air pollution emissions and air quality laws
or regulations and either has (1) begun, or
caused to begin, a continuous program of
physical on-site construction of the facility or
(2) entered into binding agreements or
contractual obligations, which cannot be
canceled or modified without substantial loss
to the owner or operator, to undertake a
program of construction of the facility to be
completed in a reasonable time.’’ 40 CFR
51.301.
As this definition is essentially identical to
the definition of ‘‘commence construction’’
as that term is used in the PSD regulations,
the two terms mean the same thing. See 40
CFR 51.165(a)(1)(xvi) and 40 CFR 52.21(b)(9).
Under this definition, an emissions unit
could be ‘‘in existence’’ even if it did not
begin operating until several years after 1977.
Example: The owner of a source obtained
all necessary permits in early 1977 and
entered into binding construction agreements
in June 1977. Actual on-site construction
began in late 1978, and construction was
completed in mid-1979. The source began
operating in September 1979. The emissions
unit was ‘‘in existence’’ as of August 7, 1977.
Major stationary sources which
commenced construction AFTER August 7,
1977 (i.e., major stationary sources which
were not ‘‘in existence’’ on August 7, 1977)
were subject to new source review (NSR)
under the PSD program. Thus, the August 7,
1977 ‘‘in existence’’ test is essentially the
same thing as the identification of emissions
units that were grandfathered from the NSR
review requirements of the 1977 CAA
amendments.
3. Sources are not BART-eligible if the only
change at the plant during the relevant time
period was the addition of pollution controls.
For example, if the only change at a copper
smelter during the 1962 through 1977 time
period was the addition of acid plants for the
reduction of SO2 emissions, these emission
controls would not by themselves trigger a
BART review.
What does ‘‘in operation before August 7,
1962’’ mean?
An emissions unit that meets the August 7,
1977 ‘‘in existence’’ test is not BART-eligible
if it was in operation before August 7, 1962.
‘‘In operation’’ is defined as ‘‘engaged in
activity related to the primary design
function of the source.’’ This means that a
source must have begun actual operations by
August 7, 1962 to satisfy this test.
Example: The owner or operator entered
into binding agreements in 1960. Actual onsite construction began in 1961, and
construction was complete in mid-1962. The
source began operating in September 1962.
The emissions unit was not ‘‘in operation’’
before August 7, 1962 and is therefore subject
to BART.
What is a ‘‘reconstructed source?’
1. Under a number of CAA programs, an
existing source which is completely or
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substantially rebuilt is treated as a new
source. Such ‘‘reconstructed’’ sources are
treated as new sources as of the time of the
reconstruction. Consistent with this overall
approach to reconstructions, the definition of
BART-eligible facility (reflected in detail in
the definition of ‘‘existing stationary
facility’’) includes consideration of sources
that were in operation before August 7, 1962,
but were reconstructed during the August 7,
1962 to August 7, 1977 time period.
2. Under the regional haze regulations at 40
CFR 51.301, a reconstruction has taken place
if ‘‘the fixed capital cost of the new
component exceeds 50 percent of the fixed
capital cost of a comparable entirely new
source.’’ The rule also states that ‘‘[a]ny final
decision as to whether reconstruction has
occurred must be made in accordance with
the provisions of §§ 60.15 (f)(1) through (3) of
this title.’’ ‘‘[T]he provisions of §§ 60.15(f)(1)
through (3)’’ refers to the general provisions
for New Source Performance Standards
(NSPS). Thus, the same policies and
procedures for identifying reconstructed
‘‘affected facilities’’ under the NSPS program
must also be used to identify reconstructed
‘‘stationary sources’’ for purposes of the
BART requirement.
3. You should identify reconstructions on
an emissions unit basis, rather than on a
plantwide basis. That is, you need to identify
only the reconstructed emission units
meeting the 50 percent cost criterion. You
should include reconstructed emission units
in the list of emission units you identified in
Step 1. You need consider as possible
reconstructions only those emissions units
with the potential to emit more than 250 tons
per year of any visibility-impairing pollutant.
4. The ‘‘in operation’’ and ‘‘in existence’’
tests apply to reconstructed sources. If an
emissions unit was reconstructed and began
actual operation before August 7, 1962, it is
not BART-eligible. Similarly, any emissions
unit for which a reconstruction
‘‘commenced’’ after August 7, 1977, is not
BART-eligible.
How are modifications treated under the
BART provision?
1. The NSPS program and the major source
NSR program both contain the concept of
modifications. In general, the term
‘‘modification’’ refers to any physical change
or change in the method of operation of an
emissions unit that results in an increase in
emissions.
2. The BART provision in the regional haze
rule contains no explicit treatment of
modifications or how modified emissions
units, previously subject to the requirement
to install best available control technology
(BACT), lowest achievable emission rate
(LAER) controls, and/or NSPS are treated
under the rule. As the BART requirements in
the CAA do not appear to provide any
exemption for sources which have been
modified since 1977, the best interpretation
of the CAA visibility provisions is that a
subsequent modification does not change a
unit’s construction date for the purpose of
BART applicability. Accordingly, if an
emissions unit began operation before 1962,
it is not BART-eligible if it was modified
between 1962 and 1977, so long as the
modification is not also a ‘‘reconstruction.’’
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On the other hand, an emissions unit which
began operation within the 1962–1977 time
window, but was modified after August 7,
1977, is BART-eligible. We note, however,
that if such a modification was a major
modification that resulted in the installation
of controls, the State will take this into
account during the review process and may
find that the level of controls already in place
are consistent with BART.
3. Step 3: Compare the Potential Emissions
to the 250 Ton/Yr Cutoff
The result of Steps 1 and 2 will be a list
of emissions units at a given plant site,
including reconstructed emissions units, that
are within one or more of the BART
categories and that were placed into
operation within the 1962–1977 time
window. The third step is to determine
whether the total emissions represent a
current potential to emit that is greater than
250 tons per year of any single visibility
impairing pollutant. Fugitive emissions, to
the extent quantifiable, must be counted. In
most cases, you will add the potential
emissions from all emission units on the list
resulting from Steps 1 and 2. In a few cases,
you may need to determine whether the plant
contains more than one ‘‘stationary source’’
as the regional haze rule defines that term,
and as we explain further below.
What pollutants should I address?
Visibility-impairing pollutants include the
following:
(1) Sulfur dioxide (SO2),
(2) Nitrogen oxides (NOX), and
(3) Particulate matter.
You may use PM10 as an indicator for
particulate matter in this intial step. [Note
that we do not recommend use of total
suspended particulates (TSP) as in indicator
for particulate matter.] As emissions of PM10
include the components of PM2.5 as a subset,
there is no need to have separate 250 ton
thresholds for PM10 and PM2.5; 250 tons of
PM10 represents at most 250 tons of PM2.5,
and at most 250 tons of any individual
particulate species such as elemental carbon,
crustal material, etc.
However, if you determine that a source of
particulate matter is BART-eligible, it will be
important to distinguish between the fine
and coarse particle components of direct
particulate emissions in the remainder of the
BART analysis, including for the purpose of
modeling the source’s impact on visibility.
This is because although both fine and coarse
particulate matter contribute to visibility
impairment, the long-range transport of fine
particles is of particular concern in the
formation of regional haze. Thus, for
example, air quality modeling results used in
the BART determination will provide a more
accurate prediction of a source’s impact on
visibility if the inputs into the model account
for the relative particle size of any directly
emitted particulate matter (i.e. PM10 vs.
PM2.5).
You should exercise judgment in deciding
whether the following pollutants impair
visibility in an area:
(4) Volatile organic compounds (VOC), and
(5) Ammonia and ammonia compounds.
You should use your best judgment in
deciding whether VOC or ammonia
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emissions from a source are likely to have an
impact on visibility in an area. Certain types
of VOC emissions, for example, are more
likely to form secondary organic aerosols
than others.1 Similarly, controlling ammonia
emissions in some areas may not have a
significant impact on visibility. You need not
provide a formal showing of an individual
decision that a source of VOC or ammonia
emissions is not subject to BART review.
Because air quality modeling may not be
feasible for individual sources of VOC or
ammonia, you should also exercise your
judgement in assessing the degree of
visibility impacts due to emissions of VOC
and emissions of ammonia or ammonia
compounds. You should fully document the
basis for judging that a VOC or ammonia
source merits BART review, including your
assessment of the source’s contribution to
visibility impairment.
What does the term ‘‘potential’’ emissions
mean?
The regional haze rule defines potential to
emit as follows:
‘‘Potential to emit’’ means the maximum
capacity of a stationary source to emit a
pollutant under its physical and operational
design. Any physical or operational
limitation on the capacity of the source to
emit a pollutant including air pollution
control equipment and restrictions on hours
of operation or on the type or amount of
material combusted, stored, or processed,
shall be treated as part of its design if the
limitation or the effect it would have on
emissions is federally enforceable. Secondary
emissions do not count in determining the
potential to emit of a stationary source.
The definition of ‘‘potential to emit’’ means
that a source which actually emits less than
250 tons per year of a visibility-impairing
pollutant is BART-eligible if its emissions
would exceed 250 tons per year when
operating at its maximum capacity given its
physical and operational design (and
considering all federally enforceable and
State enforceable permit limits.)
Example: A source, while operating at onefourth of its capacity, emits 75 tons per year
of SO2. If it were operating at 100 percent of
its maximum capacity, the source would emit
300 tons per year. Because under the above
definition such a source would have
‘‘potential’’ emissions that exceed 250 tons
per year, the source (if in a listed category
and built during the 1962–1977 time
window) would be BART-eligible.
How do I identify whether a plant has more
than one ‘‘stationary source?’’
1. The regional haze rule, in 40 CFR
51.301, defines a stationary source as a
‘‘building, structure, facility or installation
which emits or may emit any air pollutant.’’ 2
1 Fine particles: Overview of Atmospheric
Chemistry, Sources of Emissions, and Ambient
Monitoring Data, Memorandum to Docket OAR
2002–006, April 1, 2005.
2 Note: Most of these terms and definitions are the
same for regional haze and the 1980 visibility
regulations. For the regional haze rule we use the
term ‘‘BART-eligible source’’ rather than ‘‘existing
stationary facility’’ to clarify that only a limited
subset of existing stationary sources are subject to
BART.
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The rule further defines ‘‘building, structure
or facility’’ as:
all of the pollutant-emitting activities which
belong to the same industrial grouping, are
located on one or more contiguous or
adjacent properties, and are under the control
of the same person (or persons under
common control). Pollutant-emitting
activities must be considered as part of the
same industrial grouping if they belong to the
same Major Group (i.e., which have the same
two-digit code) as described in the Standard
Industrial Classification Manual, 1972 as
amended by the 1977 Supplement (U.S.
Government Printing Office stock numbers
4101–0066 and 003–005–00176–0,
respectively).
2. In applying this definition, it is
necessary to determine which facilities are
located on ‘‘contiguous or adjacent
properties.’’ Within this contiguous and
adjacent area, it is also necessary to group
those emission units that are under ‘‘common
control.’’ We note that these plant boundary
issues and ‘‘common control’’ issues are very
similar to those already addressed in
implementation of the title V operating
permits program and in NSR.
3. For emission units within the
‘‘contiguous or adjacent’’ boundary and
under common control, you must group
emission units that are within the same
industrial grouping (that is, associated with
the same 2-digit SIC code) in order to define
the stationary source.3 For most plants on the
BART source category list, there will only be
one 2-digit SIC that applies to the entire
plant. For example, all emission units
associated with kraft pulp mills are within
SIC code 26, and chemical process plants
will generally include emission units that are
all within SIC code 28. The ‘‘2-digit SIC test’’
applies in the same way as the test is applied
in the major source NSR programs.4
4. For purposes of the regional haze rule,
you must group emissions from all emission
units put in place within the 1962–1977 time
period that are within the 2-digit SIC code,
even if those emission units are in different
categories on the BART category list.
Examples: A chemical plant which started
operations within the 1962 to 1977 time
period manufactures hydrochloric acid
(within the category title ‘‘Hydrochloric,
sulfuric, and nitric acid plants’’) and various
organic chemicals (within the category title
‘‘chemical process plants’’). All of the
emission units are within SIC code 28 and,
therefore, all the emission units are
3 We recognize that we are in a transition period
from the use of the SIC system to a new system
called the North American Industry Classification
System (NAICS). For purposes of identifying BARTeligible sources, you may use either 2-digit SICS or
the equivalent in the NAICS system.
4 Note: The concept of support facility used for
the NSR program applies here as well. Support
facilities, that is facilities that convey, store or
otherwise assist in the production of the principal
product, must be grouped with primary facilities
even when the facilities fall wihin separate SIC
codes. For purposes of BART reviews, however,
such support facilities (a) must be within one of the
26 listed source categories and (b) must have been
in existence as of August 7, 1977, and (c) must not
have been in operation as of August 7, 1962.
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considered in determining BART eligibility
of the plant. You sum the emissions over all
of these emission units to see whether there
are more than 250 tons per year of potential
emissions.
A steel mill which started operations
within the 1962 to 1977 time period includes
a sintering plant, a coke oven battery, and
various other emission units. All of the
emission units are within SIC code 33. You
sum the emissions over all of these emission
units to see whether there are more than 250
tons per year of potential emissions.
4. Final Step: Identify the Emissions Units
and Pollutants That Constitute the BARTEligible Source
If the emissions from the list of emissions
units at a stationary source exceed a potential
to emit of 250 tons per year for any visibilityimpairing pollutant, then that collection of
emissions units is a BART-eligible source.
Example: A stationary source comprises
the following two emissions units, with the
following potential emissions:
Emissions unit A
200 tons/yr SO2
150 tons/yr NOX
25 tons/yr PM
Emissions unit B
100 tons/yr SO2
75 tons/yr NOX
10 tons/yr PM
For this example, potential emissions of SO2
are 300 tons/yr, which exceeds the 250 tons/
yr threshold. Accordingly, the entire
‘‘stationary source’’, that is, emissions units
A and B, may be subject to a BART review
for SO2, NOX, and PM, even though the
potential emissions of PM and NOX at each
emissions unit are less than 250 tons/yr each.
Example: The total potential emissions,
obtained by adding the potential emissions of
all emission units in a listed category at a
plant site, are as follows:
200 tons/yr SO2
150 tons/yr NOX
25 tons/yr PM
Even though total emissions exceed 250
tons/yr, no individual regulated pollutant
exceeds 250 tons/yr and this source is not
BART-eligible.
Can States establish de minimis levels of
emissions for pollutants at BART-eligible
sources?
In order to simplify BART determinations,
States may choose to identify de minimis
levels of pollutants at BART-eligible sources
(but are not required to do so). De minimis
values should be identified with the purpose
of excluding only those emissions so
minimal that they are unlikely to contribute
to regional haze. Any de minimis values that
you adopt must not be higher than the PSD
applicability levels: 40 tons/yr for SO2 and
NOX and 15 tons/yr for PM10. These de
minimis levels may only be applied on a
plant-wide basis.
III. How to Identify Sources ‘‘Subject to
BART’’
Once you have compiled your list of
BART-eligible sources, you need to
determine whether (1) to make BART
determinations for all of them or (2) to
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consider exempting some of them from BART
because they may not reasonably be
anticipated to cause or contribute to any
visibility impairment in a Class I area. If you
decide to make BART determinations for all
the BART-eligible sources on your list, you
should work with your regional planning
organization (RPO) to show that, collectively,
they cause or contribute to visibility
impairment in at least one Class I area. You
should then make individual BART
determinations by applying the five statutory
factors discussed in Section IV below.
On the other hand, you also may choose to
perform an initial examination to determine
whether a particular BART-eligible source or
group of sources causes or contributes to
visibility impairment in nearby Class I areas.
If your analysis, or information submitted by
the source, shows that an individual source
or group of sources (or certain pollutants
from those sources) is not reasonably
anticipated to cause or contribute to any
visibility impairment in a Class I area, then
you do not need to make BART
determinations for that source or group of
sources (or for certain pollutants from those
sources). In such a case, the source is not
‘‘subject to BART’’ and you do not need to
apply the five statutory factors to make a
BART determination. This section of the
Guideline discusses several approaches that
you can use to exempt sources from the
BART determination process.
A. What Steps Do I Follow To Determine
Whether a Source or Group of Sources Cause
or Contribute to Visibility Impairment for
Purposes of BART?
1. How Do I Establish a Threshold?
One of the first steps in determining
whether sources cause or contribute to
visibility impairment for purposes of BART
is to establish a threshold (measured in
deciviews) against which to measure the
visibility impact of one or more sources. A
single source that is responsible for a 1.0
deciview change or more should be
considered to ‘‘cause’’ visibility impairment;
a source that causes less than a 1.0 deciview
change may still contribute to visibility
impairment and thus be subject to BART.
Because of varying circumstances affecting
different Class I areas, the appropriate
threshold for determining whether a source
‘‘contributes to any visibility impairment’’ for
the purposes of BART may reasonably differ
across States. As a general matter, any
threshold that you use for determining
whether a source ‘‘contributes’’ to visibility
impairment should not be higher than 0.5
deciviews.
In setting a threshold for ‘‘contribution,’’
you should consider the number of emissions
sources affecting the Class I areas at issue and
the magnitude of the individual sources’
impacts.5 In general, a larger number of
sources causing impacts in a Class I area may
warrant a lower contribution threshold.
States remain free to use a threshold lower
than 0.5 deciviews if they conclude that the
5 We expect that regional planning organizations
will have modeling information that identifies
sources affecting visibility in individual class I
areas.
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location of a large number of BART-eligible
sources within the State and in proximity to
a Class I area justify this approach.6
2. What Pollutants Do I Need to Consider?
You must look at SO2, NOX, and direct
particulate matter (PM) emissions in
determining whether sources cause or
contribute to visibility impairment, including
both PM10 and PM2.5. Consistent with the
approach for identifying your BART-eligible
sources, you do not need to consider less
than de minimis emissions of these
pollutants from a source.
As explained in section II, you must use
your best judgement to determine whether
VOC or ammonia emissions are likely to have
an impact on visibility in an area. In
addition, although as explained in Section II,
you may use PM10 an indicator for particulate
matter in determining whether a source is
BART-eligible, in determining whether a
source contributes to visibility impairment,
you should distinguish between the fine and
coarse particle components of direct
particulate emissions. Although both fine
and coarse particulate matter contribute to
visibility impairment, the long-range
transport of fine particles is of particular
concern in the formation of regional haze. Air
quality modeling results used in the BART
determination will provide a more accurate
prediction of a source’s impact on visibility
if the inputs into the model account for the
relative particle size of any directly emitted
particulate matter (i.e. PM10 vs. PM2.5).
3. What Kind of Modeling Should I Use To
Determine Which Sources and Pollutants
Need Not Be Subject to BART?
This section presents several options for
determining that certain sources need not be
subject to BART. These options rely on
different modeling and/or emissions analysis
approaches. They are provided for your
guidance. You may also use other reasonable
approaches for analyzing the visibility
impacts of an individual source or group of
sources.
Option 1: Individual Source Attribution
Approach (Dispersion Modeling)
You can use dispersion modeling to
determine that an individual source cannot
reasonably be anticipated to cause or
contribute to visibility impairment in a Class
I area and thus is not subject to BART. Under
this option, you can analyze an individual
source’s impact on visibility as a result of its
emissions of SO2, NOX and direct PM
emissions. Dispersion modeling cannot
currently be used to estimate the predicted
impacts on visibility from an individual
source’s emissions of VOC or ammonia. You
may use a more qualitative assessment to
determine on a case-by-case basis which
sources of VOC or ammonia emissions may
be likely to impair visibility and should
6 Note that the contribution threshold should be
used to determine whether an individual source is
reasonably anticipated to contribute to visibility
impairment. You should not aggregate the visibility
effects of multiple sources and compare their
collective effects against your contribution
threshold because this would inappropriately create
a ‘‘contribute to contribution’’ test.
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therefore be subject to BART review, as
explained in section II.A.3. above.
You can use CALPUFF 7 or other
appropriate model to predict the visibility
impacts from a single source at a Class I area.
CALPUFF is the best regulatory modeling
application currently available for predicting
a single source’s contribution to visibility
impairment and is currently the only EPAapproved model for use in estimating single
source pollutant concentrations resulting
from the long range transport of primary
pollutants.8 It can also be used for some other
purposes, such as the visibility assessments
addressed in today’s rule, to account for the
chemical transformation of SO2 and NOX.
There are several steps for making an
individual source attribution using a
dispersion model:
1. Develop a modeling protocol. Some
critical items to include in the protocol are
the meteorological and terrain data that will
be used, as well as the source-specific
information (stack height, temperature, exit
velocity, elevation, and emission rates of
applicable pollutants) and receptor data from
appropriate Class I areas. We recommend
following EPA’s Interagency Workgroup on
Air Quality Modeling (IWAQM) Phase 2
Summary Report and Recommendations for
Modeling Long Range Transport Impacts 9 for
parameter settings and meteorological data
inputs. You may use other settings from
those in IWAQM, but you should identify
these settings and explain your selection of
these settings.
One important element of the protocol is
in establishing the receptors that will be used
in the model. The receptors that you use
should be located in the nearest Class I area
with sufficient density to identify the likely
visibility effects of the source. For other Class
I areas in relatively close proximity to a
BART-eligible source, you may model a few
strategic receptors to determine whether
effects at those areas may be greater than at
the nearest Class I area. For example, you
might chose to locate receptors at these areas
at the closest point to the source, at the
highest and lowest elevation in the Class I
area, at the IMPROVE monitor, and at the
approximate expected plume release height.
If the highest modeled effects are observed at
the nearest Class I area, you may choose not
to analyze the other Class I areas any further
as additional analyses might be unwarranted.
You should bear in mind that some
receptors within the relevant Class I area may
be less than 50 km from the source while
other receptors within that same Class I area
may be greater than 50 km from the same
source. As indicated by the Guideline on Air
Quality Models, 40 CFR part 51, appendix W,
this situation may call for the use of two
different modeling approaches for the same
Class I area and source, depending upon the
State’s chosen method for modeling sources
less than 50 km. In situations where you are
assessing visibility impacts for sourcereceptor distances less than 50 km, you
should use expert modeling judgment in
determining visibility impacts, giving
consideration to both CALPUFF and other
appropriate methods.
In developing your modeling protocol, you
may want to consult with EPA and your
regional planning organization (RPO). Upfront consultation will ensure that key
technical issues are addressed before you
conduct your modeling.
2. With the accepted protocol and compare
the predicted visibility impacts with your
threshold for ‘‘contribution.’’ You should
calculate daily visibility values for each
receptor as the change in deciviews
compared against natural visibility
conditions. You can use EPA’s ‘‘Guidance for
Estimating Natural Visibility Conditions
Under the Regional Haze Rule,’’ EPA–454/B–
03–005 (September 2003) in making this
calculation. To determine whether a source
may reasonably be anticipated to cause or
contribute to visibility impairment at Class I
area, you then compare the impacts predicted
by the model against the threshold that you
have selected.
The emissions estimates used in the
models are intended to reflect steady-state
operating conditions during periods of high
capacity utilization. We do not generally
recommend that emissions reflecting periods
of start-up, shutdown, and malfunction be
used, as such emission rates could produce
higher than normal effects than would be
typical of most facilities. We recommend that
States use the 24 hour average actual
emission rate from the highest emitting day
of the meteorological period modeled, unless
this rate reflects periods start-up, shutdown,
or malfunction. In addition, the monthly
average relative humidity is used, rather than
the daily average humidity—an approach
that effectively lowers the peak values in
daily model averages.
For these reasons, if you use the modeling
approach we recommend, you should
compare your ‘‘contribution’’ threshold
against the 98th percentile of values. If the
98th percentile value from your modeling is
less than your contribution threshold, then
you may conclude that the source does not
contribute to visibility impairment and is not
subject to BART.
7 The model code and its documentation are
available at no cost for download from https://
www.epa.gov/scram001/tt22.htm#calpuff.
8 The Guideline on Air Quality Models, 40 CFR
part 51, appendix W, addresses the regulatory
application of air quality models for assessing
criteria pollutants under the CAA, and describes
further the procedures for using the CALPUFF
model, as well as for obtaining approval for the use
of other, nonguideline models.
9 Interagency Workgroup on Air Quality Modeling
(IWAQM) Phase 2 Summary Report and
Recommendations for Modeling Long Range
Transport Impacts, U.S. Environmental Protection
Agency, EPA–454/R–98–019, December 1998.
Option 2: Use of Model Plants To Exempt
Individual Sources With Common
Characteristics
Under this option, analyses of model
plants could be used to exempt certain
BART-eligible sources that share specific
characteristics. It may be most useful to use
this type of analysis to identify the types of
small sources that do not cause or contribute
to visibility impairment for purposes of
BART, and thus should not be subject to a
BART review. Different Class I areas may
have different characteristics, however, so
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you should use care to ensure that the criteria
you develop are appropriate for the
applicable cases.
In carrying out this approach, you could
use modeling analyses of representative
plants to reflect groupings of specific sources
with important common characteristics.
Based on these analyses, you may find that
certain types of sources are clearly
anticipated to cause or contribute to visibility
impairment. You could then choose to
categorically require those types of sources to
undergo a BART determination. Conversely,
you may find based on representative plant
analyses that certain types of sources are not
reasonably anticipated to cause or contribute
to visibility impairment. To do this, you may
conduct your own modeling to establish
emission levels and distances from Class I
areas on which you can rely to exempt
sources with those characteristics. For
example, based on your modeling you might
choose to exempt all NOX-only sources that
emit less than a certain amount per year and
are located a certain distance from a Class I
area. You could then choose to categorically
exempt such sources from the BART
determination process.
Our analyses of visibility impacts from
model plants provide a useful example of the
type of analyses that can be used to exempt
categories of sources from BART.10 In our
analyses, we developed model plants (EGUs
and non-EGUs), with representative plume
and stack characteristics, for use in
considering the visibility impact from
emission sources of different sizes and
compositions at distances of 50, 100 and 200
kilometers from two hypothetical Class I
areas (one in the East and one in the West).
As the plume and stack characteristics of
these model plants were developed
considering the broad range of sources within
the EGU and non-EGU categories, they do not
necessarily represent any specific plant.
However, the results of these analyses are
instructive in the development of an
exemption process for any Class I area.
In preparing our analyses, we have made
a number of assumptions and exercised
certain modeling choices; some of these have
a tendency to lend conservatism to the
results, overstating the likely effects, while
others may understate the likely effects. On
balance, when all of these factors are
considered, we believe that our examples
reflect realistic treatments of the situations
being modeled. Based on our analyses, we
believe that a State that has established 0.5
deciviews as a contribution threshold could
reasonably exempt from the BART review
process sources that emit less than 500 tons
per year of NOX or SO2 (or combined NOX
and SO2), as long as these sources are located
more than 50 kilometers from any Class I
area; and sources that emit less than 1000
tons per year of NOX or SO2 (or combined
NOX and SO2) that are located more than 100
kilometers from any Class I area. You do,
however, have the option of showing other
thresholds might also be appropriate given
your specific circumstances.
10 CALPUFF Analysis in Support of the June 2005
Changes to the Regional Haze Rule, U.S.
Environmental Protection Agency, June 15, 2005,
Docket No. OAR–2002–0076.
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Option 3: Cumulative Modeling To Show
That No Sources in a State Are Subject to
BART
You may also submit to EPA a
demonstration based on an analysis of overall
visibility impacts that emissions from BARTeligible sources in your State, considered
together, are not reasonably anticipated to
cause or contribute to any visibility
impairment in a Class I area, and thus no
source should be subject to BART. You may
do this on a pollutant by pollutant basis or
for all visibility-impairing pollutants to
determine if emissions from these sources
contribute to visibility impairment.
For example, emissions of SO2 from your
BART-eligible sources may clearly cause or
contribute to visibility impairment while
direct emissions of PM2.5 from these sources
may not contribute to impairment. If you can
make such a demonstration, then you may
reasonably conclude that none of your BARTeligible sources are subject to BART for a
particular pollutant or pollutants. As noted
above, your demonstration should take into
account the interactions among pollutants
and their resulting impacts on visibility
before making any pollutant-specific
determinations.
Analyses may be conducted using several
alternative modeling approaches. First, you
may use the CALPUFF or other appropriate
model as described in Option 1 to evaluate
the impacts of individual sources on
downwind Class I areas, aggregating those
impacts to determine the collective
contribution of all BART-eligible sources to
visibility impairment. You may also use a
photochemical grid model. As a general
matter, the larger the number of sources
being modeled, the more appropriate it may
be to use a photochemical grid model.
However, because such models are
significantly less sensitive than dispersion
models to the contributions of one or a few
sources, as well as to the interactions among
sources that are widely distributed
geographically, if you wish to use a grid
model, you should consult with the
appropriate EPA Regional Office to develop
an appropriate modeling protocol.
IV. The BART Determination: Analysis of
BART Options
This section describes the process for the
analysis of control options for sources subject
to BART.
A. What factors must I address in the BART
review?
The visibility regulations define BART as
follows:
Best Available Retrofit Technology (BART)
means an emission limitation based on the
degree of reduction achievable through the
application of the best system of continuous
emission reduction for each pollutant which
is emitted by . . . [a BART-eligible source].
The emission limitation must be established,
on a case-by-case basis, taking into
consideration the technology available, the
costs of compliance, the energy and non-air
quality environmental impacts of
compliance, any pollution control equipment
in use or in existence at the source, the
remaining useful life of the source, and the
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degree of improvement in visibility which
may reasonably be anticipated to result from
the use of such technology.
The BART analysis identifies the best
system of continuous emission reduction
taking into account:
(1) The available retrofit control options,
(2) Any pollution control equipment in use
at the source (which affects the availability
of options and their impacts),
(3) The costs of compliance with control
options,
(4) The remaining useful life of the facility,
(5) The energy and non-air quality
environmental impacts of control options
(6) The visibility impacts analysis.
B. What is the scope of the BART review?
Once you determine that a source is subject
to BART for a particular pollutant, then for
each affected emission unit, you must
establish BART for that pollutant. The BART
determination must address air pollution
control measures for each emissions unit or
pollutant emitting activity subject to review.
Example: Plantwide emissions from
emission units within the listed categories
that began operation within the ‘‘time
window’’ for BART 11 are 300 tons/yr of NOX,
200 tons/yr of SO2, and 150 tons/yr of
primary particulate. Emissions unit A emits
200 tons/yr of NOX, 100 tons/yr of SO2, and
100 tons/yr of primary particulate. Other
emission units, units B through H, which
began operating in 1966, contribute lesser
amounts of each pollutant. For this example,
a BART review is required for NOX, SO2, and
primary particulate, and control options must
be analyzed for units B through H as well as
unit A.
C. How does a BART review relate to
Maximum Achievable Control Technology
(MACT) Standards under CAA section 112,
or to other emission limitations required
under the CAA?
For VOC and PM sources subject to MACT
standards, States may streamline the analysis
by including a discussion of the MACT
controls and whether any major new
technologies have been developed
subsequent to the MACT standards. We
believe that there are many VOC and PM
sources that are well controlled because they
are regulated by the MACT standards, which
EPA developed under CAA section 112. For
a few MACT standards, this may also be true
for SO2. Any source subject to MACT
standards must meet a level that is as
stringent as the best-controlled 12 percent of
sources in the industry. Examples of these
hazardous air pollutant sources which
effectively control VOC and PM emissions
include (among others) secondary lead
facilities, organic chemical plants subject to
the hazardous organic NESHAP (HON),
pharmaceutical production facilities, and
equipment leaks and wastewater operations
at petroleum refineries. We believe that, in
many cases, it will be unlikely that States
will identify emission controls more
stringent than the MACT standards without
11 That is, emission units that were in existence
on August 7, 1977 and which began actual
operation on or after August 7, 1962.
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identifying control options that would cost
many thousands of dollars per ton. Unless
there are new technologies subsequent to the
MACT standards which would lead to costeffective increases in the level of control, you
may rely on the MACT standards for
purposes of BART.
We believe that the same rationale also
holds true for emissions standards developed
for municipal waste incinerators under CAA
section 111(d), and for many NSR/PSD
determinations and NSR/PSD settlement
agreements. However, we do not believe that
technology determinations from the 1970s or
early 1980s, including new source
performance standards (NSPS), should be
considered to represent best control for
existing sources, as best control levels for
recent plant retrofits are more stringent than
these older levels.
Where you are relying on these standards
to represent a BART level of control, you
should provide the public with a discussion
of whether any new technologies have
subsequently become available.
D. What Are the Five Basic Steps of a Caseby-Case BART Analysis?
The five steps are:
STEP 1—Identify All 12 Available Retrofit
Control Technologies,
STEP 2— Eliminate Technically Infeasible
Options,
STEP 3— Evaluate Control Effectiveness of
Remaining Control Technologies,
STEP 4— Evaluate Impacts and Document
the Results, and
STEP 5—Evaluate Visibility Impacts.
1. STEP 1: How do I identify all available
retrofit emission control techniques?
1. Available retrofit control options are
those air pollution control technologies with
a practical potential for application to the
emissions unit and the regulated pollutant
under evaluation. Air pollution control
technologies can include a wide variety of
available methods, systems, and techniques
for control of the affected pollutant.
Technologies required as BACT or LAER are
available for BART purposes and must be
included as control alternatives. The control
alternatives can include not only existing
controls for the source category in question
but also take into account technology transfer
of controls that have been applied to similar
source categories and gas streams.
Technologies which have not yet been
applied to (or permitted for) full scale
operations need not be considered as
available; we do not expect the source owner
to purchase or construct a process or control
device that has not already been
demonstrated in practice.
2. Where a NSPS exists for a source
category (which is the case for most of the
categories affected by BART), you should
include a level of control equivalent to the
12 In identifying ‘‘all’’ options, you must identify
the most stringent option and a reasonable set of
options for analysis that reflects a comprehensive
list of available technologies. It is not necessary to
list all permutations of available control levels that
exist for a given technology—the list is complete if
it includes the maximum level of control each
technology is capable of achieving.
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NSPS as one of the control options.13 The
NSPS standards are codified in 40 CFR part
60. We note that there are situations where
NSPS standards do not require the most
stringent level of available control for all
sources within a category. For example, postcombustion NOX controls (the most stringent
controls for stationary gas turbines) are not
required under subpart GG of the NSPS for
Stationary Gas Turbines. However, such
controls must still be considered available
technologies for the BART selection process.
3. Potentially applicable retrofit control
alternatives can be categorized in three ways.
• Pollution prevention: use of inherently
lower-emitting processes/practices, including
the use of control techniques (e.g. low-NOX
burners) and work practices that prevent
emissions and result in lower ‘‘productionspecific’’ emissions (note that it is not our
intent to direct States to switch fuel forms,
e.g. from coal to gas),
• Use of (and where already in place,
improvement in the performance of) add-on
controls, such as scrubbers, fabric filters,
thermal oxidizers and other devices that
control and reduce emissions after they are
produced, and
• Combinations of inherently loweremitting processes and add-on controls.
4. In the course of the BART review, one
or more of the available control options may
be eliminated from consideration because
they are demonstrated to be technically
infeasible or to have unacceptable energy,
cost, or non-air quality environmental
impacts on a case-by-case (or site-specific)
basis. However, at the outset, you should
initially identify all control options with
potential application to the emissions unit
under review.
5. We do not consider BART as a
requirement to redesign the source when
considering available control alternatives.
For example, where the source subject to
BART is a coal-fired electric generator, we do
not require the BART analysis to consider
building a natural gas-fired electric turbine
although the turbine may be inherently less
polluting on a per unit basis.
6. For emission units subject to a BART
review, there will often be control measures
or devices already in place. For such
emission units, it is important to include
control options that involve improvements to
existing controls and not to limit the control
options only to those measures that involve
a complete replacement of control devices.
Example: For a power plant with an
existing wet scrubber, the current control
efficiency is 66 percent. Part of the reason for
13 In EPA’s 1980 BART guidelines for reasonably
attributable visibility impairment, we concluded
that NSPS standards generally, at that time,
represented the best level sources could install as
BART. In the 20 year period since this guidance
was developed, there have been advances in SO2
control technologies as well as technologies for the
control of other pollutants, confirmed by a number
of recent retrofits at Western power plants.
Accordingly, EPA no longer concludes that the
NSPS level of controls automatically represents
‘‘the best these sources can install.’’ Analysis of the
BART factors could result in the selection of a
NSPS level of control, but you should reach this
conclusion only after considering the full range of
control options.
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the relatively low control efficiency is that 22
percent of the gas stream bypasses the
scrubber. A BART review identifies options
for improving the performance of the wet
scrubber by redesigning the internal
components of the scrubber and by
eliminating or reducing the percentage of the
gas stream that bypasses the scrubber. Four
control options are identified: (1) 78 percent
control based upon improved scrubber
performance while maintaining the 22
percent bypass, (2) 83 percent control based
upon improved scrubber performance while
reducing the bypass to 15 percent, (3) 93
percent control based upon improving the
scrubber performance while eliminating the
bypass entirely, (this option results in a ‘‘wet
stack’’ operation in which the gas leaving the
stack is saturated with water) and (4) 93
percent as in option 3, with the addition of
an indirect reheat system to reheat the stack
gas above the saturation temperature. You
must consider each of these four options in
a BART analysis for this source.
7. You are expected to identify potentially
applicable retrofit control technologies that
represent the full range of demonstrated
alternatives. Examples of general information
sources to consider include:
• The EPA’s Clean Air Technology Center,
which includes the RACT/BACT/LAER
Clearinghouse (RBLC);
• State and Local Best Available Control
Technology Guidelines—many agencies have
online information—for example South Coast
Air Quality Management District, Bay Area
Air Quality Management District, and Texas
Natural Resources Conservation Commission;
• Control technology vendors;
• Federal/State/Local NSR permits and
associated inspection/performance test
reports;
• Environmental consultants;
• Technical journals, reports and
newsletters, air pollution control seminars;
and
• The EPA’s NSR bulletin board—https://
www.epa.gov/ttn/nsr;
• Department of Energy’s Clean Coal
Program—technical reports;
• The NOX Control Technology ‘‘Cost
Tool’’—Clean Air Markets Division Web
page—https://www.epa.gov/airmarkets/arp/
nox/controltech.html;
• Performance of selective catalytic
reduction on coal-fired steam generating
units—final report. OAR/ARD, June 1997
(also available at https://www.epa.gov/
airmarkets/arp/nox/controltech.html);
• Cost estimates for selected applications
of NOX control technologies on stationary
combustion boilers. OAR/ARD June 1997.
(Docket for NOX SIP Call, A–96–56, item II–
A–03);
• Investigation of performance and cost of
NOX controls as applied to group 2 boilers.
OAR/ARD, August 1996. (Docket for Phase II
NOX rule, A–95–28, item IV–A–4);
• Controlling SO2 Emissions: A Review of
Technologies. EPA–600/R–00–093, USEPA/
ORD/NRMRL, October 2000; and
• The OAQPS Control Cost Manual.
You are expected to compile appropriate
information from these information sources.
8. There may be situations where a specific
set of units within a fenceline constitutes the
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logical set to which controls would apply
and that set of units may or may not all be
BART-eligible. (For example, some units in
that set may not have been constructed
between 1962 and 1977.)
9. If you find that a BART source has
controls already in place which are the most
stringent controls available (note that this
means that all possible improvements to any
control devices have been made), then it is
not necessary to comprehensively complete
each following step of the BART analysis in
this section. As long these most stringent
controls available are made federally
enforceable for the purpose of implementing
BART for that source, you may skip the
remaining analyses in this section, including
the visibility analysis in step 5. Likewise, if
a source commits to a BART determination
that consists of the most stringent controls
available, then there is no need to complete
the remaining analyses in this section.
2. STEP 2: How do I determine whether the
options identified in Step 1 are technically
feasible?
In Step 2, you evaluate the technical
feasibility of the control options you
identified in Step 1. You should document a
demonstration of technical infeasibility and
should explain, based on physical, chemical,
or engineering principles, why technical
difficulties would preclude the successful
use of the control option on the emissions
unit under review. You may then eliminate
such technically infeasible control options
from further consideration in the BART
analysis.
In general, what do we mean by technical
feasibility?
Control technologies are technically
feasible if either (1) they have been installed
and operated successfully for the type of
source under review under similar
conditions, or (2) the technology could be
applied to the source under review. Two key
concepts are important in determining
whether a technology could be applied:
‘‘availability’’ and ‘‘applicability.’’ As
explained in more detail below, a technology
is considered ‘‘available’’ if the source owner
may obtain it through commercial channels,
or it is otherwise available within the
common sense meaning of the term. An
available technology is ‘‘applicable’’ if it can
reasonably be installed and operated on the
source type under consideration. A
technology that is available and applicable is
technically feasible.
What do we mean by ‘‘available’’ technology?
1. The typical stages for bringing a control
technology concept to reality as a commercial
product are:
• Concept stage;
• Research and patenting;
• Bench scale or laboratory testing;
• Pilot scale testing;
• Licensing and commercial
demonstration; and
• Commercial sales.
2. A control technique is considered
available, within the context presented
above, if it has reached the stage of licensing
and commercial availability. Similarly, we do
not expect a source owner to conduct
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extended trials to learn how to apply a
technology on a totally new and dissimilar
source type. Consequently, you would not
consider technologies in the pilot scale
testing stages of development as ‘‘available’’
for purposes of BART review.
3. Commercial availability by itself,
however, is not necessarily a sufficient basis
for concluding a technology to be applicable
and therefore technically feasible. Technical
feasibility, as determined in Step 2, also
means a control option may reasonably be
deployed on or ‘‘applicable’’ to the source
type under consideration.
Because a new technology may become
available at various points in time during the
BART analysis process, we believe that
guidelines are needed on when a technology
must be considered. For example, a
technology may become available during the
public comment period on the State’s rule
development process. Likewise, it is possible
that new technologies may become available
after the close of the State’s public comment
period and before submittal of the SIP to
EPA, or during EPA’s review process on the
SIP submittal. In order to provide certainty
in the process, all technologies should be
considered if available before the close of the
State’s public comment period. You need not
consider technologies that become available
after this date. As part of your analysis, you
should consider any technologies brought to
your attention in public comments. If you
disagree with public comments asserting that
the technology is available, you should
provide an explanation for the public record
as to the basis for your conclusion.
What do we mean by ‘‘applicable’’
technology?
You need to exercise technical judgment in
determining whether a control alternative is
applicable to the source type under
consideration. In general, a commercially
available control option will be presumed
applicable if it has been used on the same or
a similar source type. Absent a showing of
this type, you evaluate technical feasibility
by examining the physical and chemical
characteristics of the pollutant-bearing gas
stream, and comparing them to the gas
stream characteristics of the source types to
which the technology had been applied
previously. Deployment of the control
technology on a new or existing source with
similar gas stream characteristics is generally
a sufficient basis for concluding the
technology is technically feasible barring a
demonstration to the contrary as described
below.
What type of demonstration is required if I
conclude that an option is not technically
feasible?
1. Where you conclude that a control
option identified in Step 1 is technically
infeasible, you should demonstrate that the
option is either commercially unavailable, or
that specific circumstances preclude its
application to a particular emission unit.
Generally, such a demonstration involves an
evaluation of the characteristics of the
pollutant-bearing gas stream and the
capabilities of the technology. Alternatively,
a demonstration of technical infeasibility
may involve a showing that there are
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unresolvable technical difficulties with
applying the control to the source (e.g., size
of the unit, location of the proposed site,
operating problems related to specific
circumstances of the source, space
constraints, reliability, and adverse side
effects on the rest of the facility). Where the
resolution of technical difficulties is merely
a matter of increased cost, you should
consider the technology to be technically
feasible. The cost of a control alternative is
considered later in the process.
2. The determination of technical
feasibility is sometimes influenced by recent
air quality permits. In some cases, an air
quality permit may require a certain level of
control, but the level of control in a permit
is not expected to be achieved in practice
(e.g., a source has received a permit but the
project was canceled, or every operating
source at that permitted level has been
physically unable to achieve compliance
with the limit). Where this is the case, you
should provide supporting documentation
showing why such limits are not technically
feasible, and, therefore, why the level of
control (but not necessarily the technology)
may be eliminated from further
consideration. However, if there is a permit
requiring the application of a certain
technology or emission limit to be achieved
for such technology, this usually is sufficient
justification for you to assume the technical
feasibility of that technology or emission
limit.
3. Physical modifications needed to resolve
technical obstacles do not, in and of
themselves, provide a justification for
eliminating the control technique on the
basis of technical infeasibility. However, you
may consider the cost of such modifications
in estimating costs. This, in turn, may form
the basis for eliminating a control technology
(see later discussion).
4. Vendor guarantees may provide an
indication of commercial availability and the
technical feasibility of a control technique
and could contribute to a determination of
technical feasibility or technical infeasibility,
depending on circumstances. However, we
do not consider a vendor guarantee alone to
be sufficient justification that a control
option will work. Conversely, lack of a
vendor guarantee by itself does not present
sufficient justification that a control option or
an emissions limit is technically infeasible.
Generally, you should make decisions about
technical feasibility based on chemical, and
engineering analyses (as discussed above), in
conjunction with information about vendor
guarantees.
5. A possible outcome of the BART
procedures discussed in these guidelines is
the evaluation of multiple control technology
alternatives which result in essentially
equivalent emissions. It is not our intent to
encourage evaluation of unnecessarily large
numbers of control alternatives for every
emissions unit. Consequently, you should
use judgment in deciding on those
alternatives for which you will conduct the
detailed impacts analysis (Step 4 below). For
example, if two or more control techniques
result in control levels that are essentially
identical, considering the uncertainties of
emissions factors and other parameters
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pertinent to estimating performance, you may
evaluate only the less costly of these options.
You should narrow the scope of the BART
analysis in this way only if there is a
negligible difference in emissions and energy
and non-air quality environmental impacts
between control alternatives.
3. STEP 3: How do I evaluate technically
feasible alternatives?
Step 3 involves evaluating the control
effectiveness of all the technically feasible
control alternatives identified in Step 2 for
the pollutant and emissions unit under
review.
Two key issues in this process include:
(1) Making sure that you express the degree
of control using a metric that ensures an
‘‘apples to apples’’ comparison of emissions
performance levels among options, and
(2) Giving appropriate treatment and
consideration of control techniques that can
operate over a wide range of emission
performance levels.
What are the appropriate metrics for
comparison?
This issue is especially important when
you compare inherently lower-polluting
processes to one another or to add-on
controls. In such cases, it is generally most
effective to express emissions performance as
an average steady state emissions level per
unit of product produced or processed.
Examples of common metrics:
• Pounds of SO2 emissions per million Btu
heat input, and
• Pounds of NOX emissions per ton of
cement produced.
How do I evaluate control techniques with a
wide range of emission performance levels?
1. Many control techniques, including both
add-on controls and inherently lower
polluting processes, can perform at a wide
range of levels. Scrubbers and high and low
efficiency electrostatic precipitators (ESPs)
are two of the many examples of such control
techniques that can perform at a wide range
of levels. It is not our intent to require
analysis of each possible level of efficiency
for a control technique as such an analysis
would result in a large number of options. It
is important, however, that in analyzing the
technology you take into account the most
stringent emission control level that the
technology is capable of achieving. You
should consider recent regulatory decisions
and performance data (e.g., manufacturer’s
data, engineering estimates and the
experience of other sources) when
identifying an emissions performance level
or levels to evaluate.
2. In assessing the capability of the control
alternative, latitude exists to consider special
circumstances pertinent to the specific
source under review, or regarding the prior
application of the control alternative.
However, you should explain the basis for
choosing the alternate level (or range) of
control in the BART analysis. Without a
showing of differences between the source
and other sources that have achieved more
stringent emissions limits, you should
conclude that the level being achieved by
those other sources is representative of the
achievable level for the source being
analyzed.
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3. You may encounter cases where you
may wish to evaluate other levels of control
in addition to the most stringent level for a
given device. While you must consider the
most stringent level as one of the control
options, you may consider less stringent
levels of control as additional options. This
would be useful, particularly in cases where
the selection of additional options would
have widely varying costs and other impacts.
4. Finally, we note that for retrofitting
existing sources in addressing BART, you
should consider ways to improve the
performance of existing control devices,
particularly when a control device is not
achieving the level of control that other
similar sources are achieving in practice with
the same device. For example, you should
consider requiring those sources with
electrostatic precipitators (ESPs) performing
below currently achievable levels to improve
their performance.
4. STEP 4: For a BART review, what impacts
am I expected to calculate and report? What
methods does EPA recommend for the
impacts analysis?
After you identify the available and
technically feasible control technology
options, you are expected to conduct the
following analyses when you make a BART
determination:
Impact analysis part 1: Costs of
compliance,
Impact analysis part 2: Energy impacts, and
Impact analysis part 3: Non-air quality
environmental impacts.
Impact analysis part 4: Remaining useful
life.
In this section, we describe how to conduct
each of these three analyses. You are
responsible for presenting an evaluation of
each impact along with appropriate
supporting information. You should discuss
and, where possible, quantify both beneficial
and adverse impacts. In general, the analysis
should focus on the direct impact of the
control alternative.
a. Impact analysis part 1: how do I estimate
the costs of control?
1. To conduct a cost analysis, you:
(1) Identify the emissions units being
controlled,
(2) Identify design parameters for emission
controls, and
(3) Develop cost estimates based upon
those design parameters.
2. It is important to identify clearly the
emission units being controlled, that is, to
specify a well-defined area or process
segment within the plant. In some cases,
multiple emission units can be controlled
jointly. However, in other cases, it may be
appropriate in the cost analysis to consider
whether multiple units will be required to
install separate and/or different control
devices. The analysis should provide a clear
summary list of equipment and the
associated control costs. Inadequate
documentation of the equipment whose
emissions are being controlled is a potential
cause for confusion in comparison of costs of
the same controls applied to similar sources.
3. You then specify the control system
design parameters. Potential sources of these
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design parameters include equipment
vendors, background information documents
used to support NSPS development, control
technique guidelines documents, cost
manuals developed by EPA, control data in
trade publications, and engineering and
performance test data. The following are a
few examples of design parameters for two
example control measures:
Control device
Examples of design
parameters
Wet Scrubbers ..
Type of sorbent used (lime,
limestone, etc.).
Gas pressure drop.
Liquid/gas ratio.
Selective CataAmmonia to NOX molar
lytic Reduction.
ratio.
Pressure drop.
Catalyst life.
4. The value selected for the design
parameter should ensure that the control
option will achieve the level of emission
control being evaluated. You should include
in your analysis documentation of your
assumptions regarding design parameters.
Examples of supporting references would
include the EPA OAQPS Control Cost
Manual (see below) and background
information documents used for NSPS and
hazardous pollutant emission standards. If
the design parameters you specified differ
from typical designs, you should document
the difference by supplying performance test
data for the control technology in question
applied to the same source or a similar
source.
5. Once the control technology alternatives
and achievable emissions performance levels
have been identified, you then develop
estimates of capital and annual costs. The
basis for equipment cost estimates also
should be documented, either with data
supplied by an equipment vendor (i.e.,
budget estimates or bids) or by a referenced
source (such as the OAQPS Control Cost
Manual, Fifth Edition, February 1996, EPA
453/B–96–001).14 In order to maintain and
improve consistency, cost estimates should
be based on the OAQPS Control Cost Manual,
where possible.15 The Control Cost Manual
addresses most control technologies in
sufficient detail for a BART analysis. The
cost analysis should also take into account
any site-specific design or other conditions
identified above that affect the cost of a
particular BART technology option.
14 The OAQPS Control Cost Manual is updated
periodically. While this citation refers to the latest
version at the time this guidance was written, you
should use the version that is current as of when
you conduct your impact analysis. This document
is available at the following Web site: https://
www.epa.gov/ttn/catc/dir1/cs1ch2.pdf.
15 You should include documentation for any
additional information you used for the cost
calculations, including any information supplied by
vendors that affects your assumptions regarding
purchased equipment costs, equipment life,
replacement of major components, and any other
element of the calculation that differs from the
Control Cost Manual.
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b. What do we mean by cost effectiveness?
Cost effectiveness, in general, is a criterion
used to assess the potential for achieving an
objective in the most economical way. For
purposes of air pollutant analysis,
‘‘effectiveness’’ is measured in terms of tons
of pollutant emissions removed, and ‘‘cost’’
is measured in terms of annualized control
costs. We recommend two types of costeffectiveness calculations—average cost
effectiveness, and incremental cost
effectiveness.
c. How do I calculate average cost
effectiveness?
Average cost effectiveness means the total
annualized costs of control divided by
annual emissions reductions (the difference
between baseline annual emissions and the
estimate of emissions after controls), using
the following formula:
Average cost effectiveness (dollars per ton
removed) = Control option annualized
cost 16
Baseline annual emissions—Annual
emissions with Control option
Because you calculate costs in (annualized)
dollars per year ($/yr) and because you
calculate emissions rates in tons per year
(tons/yr), the result is an average costeffectiveness number in (annualized) dollars
per ton ($/ton) of pollutant removed.
d. How do I calculate baseline emissions?
1. The baseline emissions rate should
represent a realistic depiction of anticipated
annual emissions for the source. In general,
for the existing sources subject to BART, you
will estimate the anticipated annual
emissions based upon actual emissions from
a baseline period.
2. When you project that future operating
parameters (e.g., limited hours of operation
16 Whenever you calculate or report annual costs,
you should indicate the year for which the costs are
estimated. For example, if you use the year 2000 as
the basis for cost comparisons, you would report
that an annualized cost of $20 million would be:
$20 million (year 2000 dollars).
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or capacity utilization, type of fuel, raw
materials or product mix or type) will differ
from past practice, and if this projection has
a deciding effect in the BART determination,
then you must make these parameters or
assumptions into enforceable limitations. In
the absence of enforceable limitations, you
calculate baseline emissions based upon
continuation of past practice.
3. For example, the baseline emissions
calculation for an emergency standby
generator may consider the fact that the
source owner would not operate more than
past practice of 2 weeks a year. On the other
hand, baseline emissions associated with a
base-loaded turbine should be based on its
past practice which would indicate a large
number of hours of operation. This produces
a significantly higher level of baseline
emissions than in the case of the emergency/
standby unit and results in more costeffective controls. As a consequence of the
dissimilar baseline emissions, BART for the
two cases could be very different.
e. How do I calculate incremental cost
effectiveness?
1. In addition to the average cost
effectiveness of a control option, you should
also calculate incremental cost effectiveness.
You should consider the incremental cost
effectiveness in combination with the average
cost effectiveness when considering whether
to eliminate a control option. The
incremental cost effectiveness calculation
compares the costs and performance level of
a control option to those of the next most
stringent option, as shown in the following
formula (with respect to cost per emissions
reduction):
Incremental Cost Effectiveness (dollars per
incremental ton removed) = (Total
annualized costs of control option) ¥
(Total annualized costs of next control
option) ÷ (Control option annual
emissions) ¥ (Next control option
annual emissions)
Example 1: Assume that Option F on
Figure 2 has total annualized costs of $1
million to reduce 2000 tons of a pollutant,
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39167
and that Option D on Figure 2 has total
annualized costs of $500,000 to reduce 1000
tons of the same pollutant. The incremental
cost effectiveness of Option F relative to
Option D is ($1 million ¥ $500,000) divided
by (2000 tons ¥ 1000 tons), or $500,000
divided by 1000 tons, which is $500/ton.
Example 2: Assume that two control
options exist: Option 1 and Option 2. Option
1 achieves a 1,000 ton/yr reduction at an
annualized cost of $1,900,000. This
represents an average cost of ($1,900,000/
1,000 tons) = $1,900/ton. Option 2 achieves
a 980 tons/yr reduction at an annualized cost
of $1,500,000. This represents an average cost
of ($1,500,000/980 tons) = $1,531/ton. The
incremental cost effectiveness of Option 1
relative to Option 2 is ($1,900,000 ¥
$1,500,000) divided by (1,000 tons ¥ 980
tons). The adoption of Option 1 instead of
Option 2 results in an incremental emission
reduction of 20 tons per year at an additional
cost of $400,000 per year. The incremental
cost of Option 1, then, is $20,000 per ton ¥
11 times the average cost of $1,900 per ton.
While $1,900 per ton may still be deemed
reasonable, it is useful to consider both the
average and incremental cost in making an
overall cost-effectiveness finding. Of course,
there may be other differences between these
options, such as, energy or water use, or nonair environmental effects, which also should
be considered in selecting a BART
technology.
2. You should exercise care in deriving
incremental costs of candidate control
options. Incremental cost-effectiveness
comparisons should focus on annualized cost
and emission reduction differences between
‘‘dominant’’ alternatives. To identify
dominant alternatives, you generate a
graphical plot of total annualized costs for
total emissions reductions for all control
alternatives identified in the BART analysis,
and by identifying a ‘‘least-cost envelope’’ as
shown in Figure 2. (A ‘‘least-cost envelope’’
represents the set of options that should be
dominant in the choice of a specific option.)
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Example: Eight technically feasible control
options for analysis are listed. These are
represented as A through H in Figure 2. The
dominant set of control options, B, D, F, G,
and H, represent the least-cost envelope, as
we depict by the cost curve connecting them.
Points A, C and E are inferior options, and
you should not use them in calculating
incremental cost effectiveness. Points A, C
and E represent inferior controls because B
will buy more emissions reductions for less
money than A; and similarly, D and F will
buy more reductions for less money than C
and E, respectively.
3. In calculating incremental costs, you:
(1) Array the control options in ascending
order of annualized total costs,
(2) Develop a graph of the most reasonable
smooth curve of the control options, as
shown in Figure 2. This is to show the ‘‘leastcost envelope’’ discussed above; and
(3) Calculate the incremental cost
effectiveness for each dominant option,
which is the difference in total annual costs
between that option and the next most
stringent option, divided by the difference in
emissions, after controls have been applied,
between those two control options. For
example, using Figure 2, you would calculate
incremental cost effectiveness for the
difference between options B and D, options
D and F, options F and G, and options G and
H.
4. A comparison of incremental costs can
also be useful in evaluating the viability of
a specific control option over a range of
efficiencies. For example, depending on the
capital and operational cost of a control
device, total and incremental cost may vary
significantly (either increasing or decreasing)
over the operational range of a control
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device. Also, the greater the number of
possible control options that exist, the more
weight should be given to the incremental
costs vs. average costs. It should be noted
that average and incremental cost
effectiveness are identical when only one
candidate control option is known to exist.
5. You should exercise caution not to
misuse these techniques. For example, you
may be faced with a choice between two
available control devices at a source, control
A and control B, where control B achieves
slightly greater emission reductions. The
average cost (total annual cost/total annual
emission reductions) for each may be deemed
to be reasonable. However, the incremental
cost (total annual costA – B/total annual
emission reductionsA – B) of the additional
emission reductions to be achieved by
control B may be very great. In such an
instance, it may be inappropriate to choose
control B, based on its high incremental
costs, even though its average cost may be
considered reasonable.
6. In addition, when you evaluate the
average or incremental cost effectiveness of a
control alternative, you should make
reasonable and supportable assumptions
regarding control efficiencies. An
unrealistically low assessment of the
emission reduction potential of a certain
technology could result in inflated costeffectiveness figures.
f. What other information should I provide in
the cost impacts analysis?
You should provide documentation of any
unusual circumstances that exist for the
source that would lead to cost-effectiveness
estimates that would exceed that for recent
retrofits. This is especially important in cases
where recent retrofits have cost-effectiveness
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values that are within what has been
considered a reasonable range, but your
analysis concludes that costs for the source
being analyzed are not considered
reasonable. (A reasonable range would be a
range that is consistent with the range of cost
effectiveness values used in other similar
permit decisions over a period of time.)
Example: In an arid region, large amounts
of water are needed for a scrubbing system.
Acquiring water from a distant location could
greatly increase the cost per ton of emissions
reduced of wet scrubbing as a control option.
g. What other things are important to
consider in the cost impacts analysis?
In the cost analysis, you should take care
not to focus on incomplete results or partial
calculations. For example, large capital costs
for a control option alone would not preclude
selection of a control measure if large
emissions reductions are projected. In such a
case, low or reasonable cost effectiveness
numbers may validate the option as an
appropriate BART alternative irrespective of
the large capital costs. Similarly, projects
with relatively low capital costs may not be
cost effective if there are few emissions
reduced.
h. Impact analysis part 2: How should I
analyze and report energy impacts?
1. You should examine the energy
requirements of the control technology and
determine whether the use of that technology
results in energy penalties or benefits. A
source owner may, for example, benefit from
the combustion of a concentrated gas stream
rich in volatile organic compounds; on the
other hand, more often extra fuel or
electricity is required to power a control
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device or incinerate a dilute gas stream. If
such benefits or penalties exist, they should
be quantified to the extent practicable.
Because energy penalties or benefits can
usually be quantified in terms of additional
cost or income to the source, the energy
impacts analysis can, in most cases, simply
be factored into the cost impacts analysis.
The fact of energy use in and of itself does
not disqualify a technology.
2. Your energy impact analysis should
consider only direct energy consumption and
not indirect energy impacts. For example,
you could estimate the direct energy impacts
of the control alternative in units of energy
consumption at the source (e.g., BTU, kWh,
barrels of oil, tons of coal). The energy
requirements of the control options should be
shown in terms of total (and in certain cases,
also incremental) energy costs per ton of
pollutant removed. You can then convert
these units into dollar costs and, where
appropriate, factor these costs into the
control cost analysis.
3. You generally do not consider indirect
energy impacts (such as energy to produce
raw materials for construction of control
equipment). However, if you determine,
either independently or based on a showing
by the source owner, that the indirect energy
impact is unusual or significant and that the
impact can be well quantified, you may
consider the indirect impact.
4. The energy impact analysis may also
address concerns over the use of locally
scarce fuels. The designation of a scarce fuel
may vary from region to region. However, in
general, a scarce fuel is one which is in short
supply locally and can be better used for
alternative purposes, or one which may not
be reasonably available to the source either
at the present time or in the near future.
5. Finally, the energy impacts analysis may
consider whether there are relative
differences between alternatives regarding
the use of locally or regionally available coal,
and whether a given alternative would result
in significant economic disruption or
unemployment. For example, where two
options are equally cost effective and achieve
equivalent or similar emissions reductions,
one option may be preferred if the other
alternative results in significant disruption or
unemployment.
i. Impact analysis part 3: How do I analyze
‘‘non-air quality environmental impacts?’’
1. In the non-air quality related
environmental impacts portion of the BART
analysis, you address environmental impacts
other than air quality due to emissions of the
pollutant in question. Such environmental
impacts include solid or hazardous waste
generation and discharges of polluted water
from a control device.
2. You should identify any significant or
unusual environmental impacts associated
with a control alternative that have the
potential to affect the selection or elimination
of a control alternative. Some control
technologies may have potentially significant
secondary environmental impacts. Scrubber
effluent, for example, may affect water
quality and land use. Alternatively, water
availability may affect the feasibility and
costs of wet scrubbers. Other examples of
secondary environmental impacts could
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include hazardous waste discharges, such as
spent catalysts or contaminated carbon.
Generally, these types of environmental
concerns become important when sensitive
site-specific receptors exist or when the
incremental emissions reductions potential
of the more stringent control is only
marginally greater than the next mosteffective option. However, the fact that a
control device creates liquid and solid waste
that must be disposed of does not necessarily
argue against selection of that technology as
BART, particularly if the control device has
been applied to similar facilities elsewhere
and the solid or liquid waste is similar to
those other applications. On the other hand,
where you or the source owner can show that
unusual circumstances at the proposed
facility create greater problems than
experienced elsewhere, this may provide a
basis for the elimination of that control
alternative as BART.
3. The procedure for conducting an
analysis of non-air quality environmental
impacts should be made based on a
consideration of site-specific circumstances.
If you propose to adopt the most stringent
alternative, then it is not necessary to
perform this analysis of environmental
impacts for the entire list of technologies you
ranked in Step 3. In general, the analysis
need only address those control alternatives
with any significant or unusual
environmental impacts that have the
potential to affect the selection of a control
alternative, or elimination of a more stringent
control alternative. Thus, any important
relative environmental impacts (both positive
and negative) of alternatives can be compared
with each other.
4. In general, the analysis of impacts starts
with the identification and quantification of
the solid, liquid, and gaseous discharges from
the control device or devices under review.
Initially, you should perform a qualitative or
semi-quantitative screening to narrow the
analysis to discharges with potential for
causing adverse environmental effects. Next,
you should assess the mass and composition
of any such discharges and quantify them to
the extent possible, based on readily
available information. You should also
assemble pertinent information about the
public or environmental consequences of
releasing these materials.
j. Impact analysis part 4: What are examples
of non-air quality environmental impacts?
The following are examples of how to
conduct non-air quality environmental
impacts:
(1) Water Impact
You should identify the relative quantities
of water used and water pollutants produced
and discharged as a result of the use of each
alternative emission control system. Where
possible, you should assess the effect on
ground water and such local surface water
quality parameters as ph, turbidity, dissolved
oxygen, salinity, toxic chemical levels,
temperature, and any other important
considerations. The analysis could consider
whether applicable water quality standards
will be met and the availability and
effectiveness of various techniques to reduce
potential adverse effects.
(2) Solid Waste Disposal Impact
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You could also compare the quality and
quantity of solid waste (e.g., sludges, solids)
that must be stored and disposed of or
recycled as a result of the application of each
alternative emission control system. You
should consider the composition and various
other characteristics of the solid waste (such
as permeability, water retention, rewatering
of dried material, compression strength,
leachability of dissolved ions, bulk density,
ability to support vegetation growth and
hazardous characteristics) which are
significant with regard to potential surface
water pollution or transport into and
contamination of subsurface waters or
aquifers.
(3) Irreversible or Irretrievable Commitment
of Resources
You may consider the extent to which the
alternative emission control systems may
involve a trade-off between short-term
environmental gains at the expense of longterm environmental losses and the extent to
which the alternative systems may result in
irreversible or irretrievable commitment of
resources (for example, use of scarce water
resources).
(4) Other Adverse Environmental Impacts
You may consider significant differences in
noise levels, radiant heat, or dissipated static
electrical energy of pollution control
alternatives. Other examples of non-air
quality environmental impacts would
include hazardous waste discharges such as
spent catalysts or contaminated carbon.
k. How do I take into account a project’s
‘‘remaining useful life’’ in calculating control
costs?
1. You may decide to treat the requirement
to consider the source’s ‘‘remaining useful
life’’ of the source for BART determinations
as one element of the overall cost analysis.
The ‘‘remaining useful life’’ of a source, if it
represents a relatively short time period, may
affect the annualized costs of retrofit
controls. For example, the methods for
calculating annualized costs in EPA’s
OAQPS Control Cost Manual require the use
of a specified time period for amortization
that varies based upon the type of control. If
the remaining useful life will clearly exceed
this time period, the remaining useful life has
essentially no effect on control costs and on
the BART determination process. Where the
remaining useful life is less than the time
period for amortizing costs, you should use
this shorter time period in your cost
calculations.
2. For purposes of these guidelines, the
remaining useful life is the difference
between:
(1) The date that controls will be put in
place (capital and other construction costs
incurred before controls are put in place can
be rolled into the first year, as suggested in
EPA’s OAQPS Control Cost Manual); you are
conducting the BART analysis; and
(2) The date the facility permanently stops
operations. Where this affects the BART
determination, this date should be assured by
a federally- or State-enforceable restriction
preventing further operation.
3. We recognize that there may be
situations where a source operator intends to
shut down a source by a given date, but
wishes to retain the flexibility to continue
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operating beyond that date in the event, for
example, that market conditions change.
Where this is the case, your BART analysis
may account for this, but it must maintain
consistency with the statutory requirement to
install BART within 5 years. Where the
source chooses not to accept a federally
enforceable condition requiring the source to
shut down by a given date, it is necessary to
determine whether a reduced time period for
the remaining useful life changes the level of
controls that would have been required as
BART.
If the reduced time period does change the
level of BART controls, you may identify,
and include as part of the BART emission
limitation, the more stringent level of control
that would be required as BART if there were
no assumption that reduced the remaining
useful life. You may incorporate into the
BART emission limit this more stringent
level, which would serve as a contingency
should the source continue operating more
than 5 years after the date EPA approves the
relevant SIP. The source would not be
allowed to operate after the 5-year mark
without such controls. If a source does
operate after the 5-year mark without BART
in place, the source is considered to be in
violation of the BART emissions limit for
each day of operation.
5. Step 5: How should I determine visibility
impacts in the BART determination?
The following is an approach you may use
to determine visibility impacts (the degree of
visibility improvement for each source
subject to BART) for the BART
determination. Once you have determined
that your source or sources are subject to
BART, you must conduct a visibility
improvement determination for the source(s)
as part of the BART determination. When
making this determination, we believe you
have flexibility in setting absolute thresholds,
target levels of improvement, or de minimis
levels since the deciview improvement must
be weighed among the five factors, and you
are free to determine the weight and
significance to be assigned to each factor. For
example, a 0.3 deciview improvement may
merit a stronger weighting in one case versus
another, so one ‘‘bright line’’ may not be
appropriate. [Note that if sources have
elected to apply the most stringent controls
available, consistent with the discussion in
section E. step 1. below, you need not
conduct, or require the source to conduct, an
air quality modeling analysis for the purpose
of determining its visibility impacts.]
Use CALPUFF,17 or other appropriate
dispersion model to determine the visibility
improvement expected at a Class I area from
the potential BART control technology
applied to the source. Modeling should be
conducted for SO2, NOX, and direct PM
emissions (PM2.5 and/or PM10). If the source
is making the visibility determination, you
should review and approve or disapprove of
the source’s analysis before making the
expected improvement determination. There
are several steps for determining the
17 The model code and its documentation are
available at no cost for download from https://
www.epa.gov/scram001/tt22.htm#calpuff.
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visibility impacts from an individual source
using a dispersion model:
• Develop a modeling protocol.
Some critical items to include in a
modeling protocol are meteorological and
terrain data, as well as source-specific
information (stack height, temperature, exit
velocity, elevation, and allowable and actual
emission rates of applicable pollutants), and
receptor data from appropriate Class I areas.
We recommend following EPA’s Interagency
Workgroup on Air Quality Modeling
(IWAQM) Phase 2 Summary Report and
Recommendations for Modeling Long Range
Transport Impacts 18 for parameter settings
and meteorological data inputs; the use of
other settings from those in IWAQM should
be identified and explained in the protocol.
One important element of the protocol is
in establishing the receptors that will be used
in the model. The receptors that you use
should be located in the nearest Class I area
with sufficient density to identify the likely
visibility effects of the source. For other Class
I areas in relatively close proximity to a
BART-eligible source, you may model a few
strategic receptors to determine whether
effects at those areas may be greater than at
the nearest Class I area. For example, you
might chose to locate receptors at these areas
at the closest point to the source, at the
highest and lowest elevation in the Class I
area, at the IMPROVE monitor, and at the
approximate expected plume release height.
If the highest modeled effects are observed at
the nearest Class I area, you may choose not
to analyze the other Class I areas any further
as additional analyses might be unwarranted.
You should bear in mind that some
receptors within the relevant Class I area may
be less than 50 km from the source while
other receptors within that same Class I area
may be greater than 50 km from the same
source. As indicated by the Guideline on Air
Quality Models, this situation may call for
the use of two different modeling approaches
for the same Class I area and source,
depending upon the State’s chosen method
for modeling sources less than 50 km. In
situations where you are assessing visibility
impacts for source-receptor distances less
than 50 km, you should use expert modeling
judgment in determining visibility impacts,
giving consideration to both CALPUFF and
other EPA-approved methods.
In developing your modeling protocol, you
may want to consult with EPA and your
regional planning organization (RPO). Upfront consultation will ensure that key
technical issues are addressed before you
conduct your modeling.
• For each source, run the model, at precontrol and post-control emission rates
according to the accepted methodology in the
protocol.
Use the 24-hour average actual emission
rate from the highest emitting day of the
meteorological period modeled (for the precontrol scenario). Calculate the model results
for each receptor as the change in deciviews
compared against natural visibility
18 Interagency Workgroup on Air Quality
Modeling (IWAQM) Phase 2 Summary Report and
Recommendations for Modeling Long Range
Transport Impacts, U.S. Environmental Protection
Agency, EPA–454/R–98–019, December 1998.
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conditions. Post-control emission rates are
calculated as a percentage of pre-control
emission rates. For example, if the 24-hr precontrol emission rate is 100 lb/hr of SO2,
then the post control rate is 5 lb/hr if the
control efficiency being evaluated is 95
percent.
• Make the net visibility improvement
determination.
Assess the visibility improvement based on
the modeled change in visibility impacts for
the pre-control and post-control emission
scenarios. You have flexibility to assess
visibility improvements due to BART
controls by one or more methods. You may
consider the frequency, magnitude, and
duration components of impairment.
Suggestions for making the determination
are:
• Use of a comparison threshold, as is
done for determining if BART-eligible
sources should be subject to a BART
determination. Comparison thresholds can be
used in a number of ways in evaluating
visibility improvement (e.g. the number of
days or hours that the threshold was
exceeded, a single threshold for determining
whether a change in impacts is significant, or
a threshold representing an x percent change
in improvement).
• Compare the 98th percent days for the
pre- and post-control runs.
Note that each of the modeling options
may be supplemented with source
apportionment data or source apportionment
modeling.
E. How do I select the ‘‘best’’ alternative,
using the results of Steps 1 through 5?
1. Summary of the Impacts Analysis
From the alternatives you evaluated in
Step 3, we recommend you develop a chart
(or charts) displaying for each of the
alternatives:
(1) Expected emission rate (tons per year,
pounds per hour);
(2) Emissions performance level (e.g.,
percent pollutant removed, emissions per
unit product, lb/MMBtu, ppm);
(3) Expected emissions reductions (tons
per year);
(4) Costs of compliance—total annualized
costs ($), cost effectiveness ($/ton), and
incremental cost effectiveness ($/ton), and/or
any other cost-effectiveness measures (such
as $/deciview);
(5) Energy impacts;
(6) Non-air quality environmental impacts;
and
(7) Modeled visibility impacts.
2. Selecting a ‘‘best’’ alternative
1. You have discretion to determine the
order in which you should evaluate control
options for BART. Whatever the order in
which you choose to evaluate options, you
should always (1) display the options
evaluated; (2) identify the average and
incremental costs of each option; (3) consider
the energy and non-air quality environmental
impacts of each option; (4) consider the
remaining useful life; and (5) consider the
modeled visibility impacts. You should
provide a justification for adopting the
technology that you select as the ‘‘best’’ level
of control, including an explanation of the
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CAA factors that led you to choose that
option over other control levels.
2. In the case where you are conducting a
BART determination for two regulated
pollutants on the same source, if the result
is two different BART technologies that do
not work well together, you could then
substitute a different technology or
combination of technologies.
3. In selecting a ‘‘best’’ alternative, should I
consider the affordability of controls?
1. Even if the control technology is cost
effective, there may be cases where the
installation of controls would affect the
viability of continued plant operations.
2. There may be unusual circumstances
that justify taking into consideration the
conditions of the plant and the economic
effects of requiring the use of a given control
technology. These effects would include
effects on product prices, the market share,
and profitability of the source. Where there
are such unusual circumstances that are
judged to affect plant operations, you may
take into consideration the conditions of the
plant and the economic effects of requiring
the use of a control technology. Where these
effects are judged to have a severe impact on
plant operations you may consider them in
the selection process, but you may wish to
provide an economic analysis that
demonstrates, in sufficient detail for public
review, the specific economic effects,
parameters, and reasoning. (We recognize
that this review process must preserve the
confidentiality of sensitive business
information). Any analysis may also consider
whether other competing plants in the same
industry have been required to install BART
controls if this information is available.
4. Sulfur dioxide limits for utility boilers
You must require 750 MW power plants to
meet specific control levels for SO2 of either
95 percent control or 0.15 lbs/MMBtu, for
each EGU greater than 200 MW that is
currently uncontrolled unless you determine
that an alternative control level is justified
based on a careful consideration of the
statutory factors. Thus, for example, if the
source demonstrates circumstances affecting
its ability to cost-effectively reduce its
emissions, you should take that into account
in determining whether the presumptive
levels of control are appropriate for that
facility. For a currently uncontrolled EGU
greater than 200 MW in size, but located at
a power plant smaller than 750 MW in size,
such controls are generally cost-effective and
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could be used in your BART determination
considering the five factors specified in CAA
section 169A(g)(2). While these levels may
represent current control capabilities, we
expect that scrubber technology will
continue to improve and control costs
continue to decline. You should be sure to
consider the level of control that is currently
best achievable at the time that you are
conducting your BART analysis.
For coal-fired EGUs with existing postcombustion SO2 controls achieving less than
50 percent removal efficiencies, we
recommend that you evaluate constructing a
new FGD system to meet the same emission
limits as above (95 percent removal or 0.15
lb/mmBtu), in addition to the evaluation of
scrubber upgrades discussed below. For oilfired units, regardless of size, you should
evaluate limiting the sulfur content of the
fuel oil burned to 1 percent or less by weight.
For those BART-eligible EGUs with preexisting post-combustion SO2 controls
achieving removal efficiencies of at least 50
percent, your BART determination should
consider cost effective scrubber upgrades
designed to improve the system’s overall SO2
removal efficiency. There are numerous
scrubber enhancements available to upgrade
the average removal efficiencies of all types
of existing scrubber systems. We recommend
that as you evaluate the definition of
‘‘upgrade,’’ you evaluate options that not
only improve the design removal efficiency
of the scrubber vessel itself, but also consider
upgrades that can improve the overall SO2
removal efficiency of the scrubber system.
Increasing a scrubber system’s reliability, and
conversely decreasing its downtime, by way
of optimizing operation procedures,
improving maintenance practices, adjusting
scrubber chemistry, and increasing auxiliary
equipment redundancy, are all ways to
improve average SO2 removal efficiencies.
We recommend that as you evaluate the
performance of existing wet scrubber
systems, you consider some of the following
upgrades, in no particular order, as potential
scrubber upgrades that have been proven in
the industry as cost effective means to
increase overall SO2 removal of wet systems:
(a) Elimination of Bypass Reheat;
(b) Installation of Liquid Distribution
Rings;
(c) Installation of Perforated Trays;
(d) Use of Organic Acid Additives;
(e) Improve or Upgrade Scrubber Auxiliary
System Equipment;
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(f) Redesign Spray Header or Nozzle
Configuration.
We recommend that as you evaluate
upgrade options for dry scrubber systems,
you should consider the following cost
effective upgrades, in no particular order:
(a) Use of Performance Additives;
(b) Use of more Reactive Sorbent;
(c) Increase the Pulverization Level of
Sorbent;
(d) Engineering redesign of atomizer or
slurry injection system.
You should evaluate scrubber upgrade
options based on the 5 step BART analysis
process.
5. Nitrogen oxide limits for utility boilers
You should establish specific numerical
limits for NOX control for each BART
determination. For power plants with a
generating capacity in excess of 750 MW
currently using selective catalytic reduction
(SCR) or selective non-catalytic reduction
(SNCR) for part of the year, you should
presume that use of those same controls yearround is BART. For other sources currently
using SCR or SNCR to reduce NOX emissions
during part of the year, you should carefully
consider requiring the use of these controls
year-round as the additional costs of
operating the equipment throughout the year
would be relatively modest.
For coal-fired EGUs greater than 200 MW
located at greater than 750 MW power plants
and operating without post-combustion
controls (i.e. SCR or SNCR), we have
provided presumptive NOX limits,
differentiated by boiler design and type of
coal burned. You may determine that an
alternative control level is appropriate based
on a careful consideration of the statutory
factors. For coal-fired EGUs greater than 200
MW located at power plants 750 MW or less
in size and operating without postcombustion controls, you should likewise
presume that these same levels are costeffective. You should require such utility
boilers to meet the following NOX emission
limits, unless you determine that an
alternative control level is justified based on
consideration of the statutory factors. The
following NOX emission rates were
determined based on a number of
assumptions, including that the EGU boiler
has enough volume to allow for installation
and effective operation of separated overfire
air ports. For boilers where these
assumptions are incorrect, these emission
limits may not be cost-effective.
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TABLE 1.—PRESUMPTIVE NOX EMISSION LIMITS FOR BART-ELIGIBLE COAL-FIRED UNITS.19
NOX presumptive
limit
(lb/mmbtu) 20
Unit type
Coal type
Dry-bottom wall-fired .................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Lignite .......................................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Lignite .......................................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Bituminous ................................................................................
Sub-bituminous ........................................................................
Bituminous ................................................................................
Tangential-fired .........................................................................
Cell Burners ..............................................................................
Dry-turbo-fired ...........................................................................
Wet-bottom tangential-fired ......................................................
MostEGUs can meet these presumptive
NO X limits through the use of current
combustion control technology, i.e. the
careful control of combustion air and lowNOX burners. For units that cannot meet
these limits using such technologies, you
should consider whether advanced
combustion control technologies such as
rotating opposed fire air should be used to
meet these limits.
Because of the relatively high NOX
emission rates of cyclone units, SCR is more
cost-effective than the use of current
combustion control technology for these
units. The use of SCRs at cyclone units
burning bituminous coal, sub-bituminous
coal, and lignite should enable the units to
cost-effectively meet NOX rates of 0.10 lbs/
mmbtu. As a result, we are establishing a
presumptive NOX limit of 0.10 lbs/mmbtu
based on the use of SCR for coal-fired
cyclone units greater than 200 MW located at
750 MW power plants. As with the other
presumptive limits established in this
guideline, you may determine that an
alternative level of control is appropriate
based on your consideration of the relevant
statutory factors. For other cyclone units, you
should review the use of SCR and consider
whether these post-combustion controls
should be required as BART.
For oil-fired and gas-fired EGUs larger than
200MW, we believe that installation of
current combustion control technology to
control NOX is generally highly cost-effective
and should be considered in your
determination of BART for these sources.
19 No Cell burners, dry-turbo-fired units, nor wetbottom tangential-fired units burning lignite were
identified as BART-eligible, thus no presumptive
limit was determined. Similarly, no wet-bottom
tangential-fired units burning sub-bituminous were
identified as BART-eligible.
20 These limits reflect the design and
technological assumptions discussed in the
technical support document for NOX limits for
these guidelines. See Technical Support Document
for BART NOX Limits for Electric Generating Units
and Technical Support Document for BART NOX
Limits for Electric Generating Units Excel
Spreadsheet, Memorandum to Docket OAR 2002–
0076, April 15, 2005.
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Many such units can make significant
reductions in NOX emissions which are
highly cost-effective through the application
of current combustion control technology.21
V. Enforceable Limits/Compliance Date
To complete the BART process, you must
establish enforceable emission limits that
reflect the BART requirements and require
compliance within a given period of time. In
particular, you must establish an enforceable
emission limit for each subject emission unit
at the source and for each pollutant subject
to review that is emitted from the source. In
addition, you must require compliance with
the BART emission limitations no later than
5 years after EPA approves your regional
haze SIP. If technological or economic
limitations in the application of a
measurement methodology to a particular
emission unit make a conventional emissions
limit infeasible, you may instead prescribe a
design, equipment, work practice, operation
standard, or combination of these types of
standards. You should consider allowing
sources to ‘‘average’’ emissions across any set
of BART-eligible emission units within a
fenceline, so long as the emission reductions
from each pollutant being controlled for
BART would be equal to those reductions
that would be obtained by simply controlling
each of the BART-eligible units that
constitute BART-eligible source.
You should ensure that any BART
requirements are written in a way that clearly
specifies the individual emission unit(s)
subject to BART regulation. Because the
BART requirements themselves are
‘‘applicable’’ requirements of the CAA, they
must be included as title V permit conditions
according to the procedures established in 40
CFR part 70 or 40 CFR part 71.
Section 302(k) of the CAA requires
emissions limits such as BART to be met on
a continuous basis. Although this provision
does not necessarily require the use of
21 See Technical Support Document for BART
NOX Limits for Electric Generating Units and
Technical Support Document for BART NOX Limits
for Electric Generating Units Excel Spreadsheet,
Memorandum to Docket OAR 2002–0076, April 15,
2005.
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continuous emissions monitoring (CEMs), it
is important that sources employ techniques
that ensure compliance on a continuous
basis. Monitoring requirements generally
applicable to sources, including those that
are subject to BART, are governed by other
regulations. See, e.g., 40 CFR part 64
(compliance assurance monitoring); 40 CFR
70.6(a)(3) (periodic monitoring); 40 CFR
70.6(c)(1) (sufficiency monitoring). Note also
that while we do not believe that CEMs
would necessarily be required for all BART
sources, the vast majority of electric
generating units potentially subject to BART
already employ CEM technology for other
programs, such as the acid rain program. In
addition, emissions limits must be
enforceable as a practical matter (contain
appropriate averaging times, compliance
verification procedures and recordkeeping
requirements). In light of the above, the
permit must:
• Be sufficient to show compliance or
noncompliance (i.e., through monitoring
times of operation, fuel input, or other
indices of operating conditions and
practices); and
• Specify a reasonable averaging time
consistent with established reference
methods, contain reference methods for
determining compliance, and provide for
adequate reporting and recordkeeping so that
air quality agency personnel can determine
the compliance status of the source; and
• For EGUS, specify an averaging time of
a 30-day rolling average, and contain a
definition of ‘‘boiler operating day’’ that is
consistent with the definition in the
proposed revisions to the NSPS for utility
boilers in 40 CFR Part 60, subpart Da.22 You
should consider a boiler operating day to be
any 24-hour period between 12:00 midnight
and the following midnight during which
any fuel is combusted at any time at the
steam generating unit. This would allow 30day rolling average emission rates to be
calculated consistently across sources.
[FR Doc. 05–12526 Filed 7–5–05; 8:45 am]
BILLING CODE 6560–50–P
22 70
E:\FR\FM\06JYR3.SGM
FR 9705, February 28, 2005.
06JYR3
Agencies
[Federal Register Volume 70, Number 128 (Wednesday, July 6, 2005)]
[Rules and Regulations]
[Pages 39104-39172]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 05-12526]
[[Page 39103]]
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Part III
Environmental Protection Agency
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40 CFR Part 51
Regional Haze Regulations and Guidelines for Best Available Retrofit
Technology (BART) Determinations; Final Rule
Federal Register / Vol. 70, No. 128 / Wednesday, July 6, 2005 / Rules
and Regulations
[[Page 39104]]
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ENVIRONMENTAL PROTECTION AGENCY
40 CFR Part 51
[FRL-7925-9]
RIN 2060-AJ31
Regional Haze Regulations and Guidelines for Best Available
Retrofit Technology (BART) Determinations
AGENCY: Environmental Protection Agency (EPA).
ACTION: Final rule.
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SUMMARY: On July 1, 1999, EPA promulgated regulations to address
regional haze (64 FR 35714). These regulations were challenged, and on
May 24, 2002, the U.S. Court of Appeals for the District of Columbia
Circuit issued a ruling vacating the regional haze rule in part and
sustaining it in part. American Corn Growers Ass'n v. EPA, 291 F.3d 1
(D.C. Cir. 2002). Today's rule addresses the court's ruling in that
case.
In addition, prior to the court's decision, EPA had proposed
guidelines for implementation of the Best Available Retrofit Technology
(BART) requirements under the regional haze rule, (66 FR 38108, July
20, 2001). The proposed guidelines were intended to clarify the
requirements of the regional haze rule's BART provisions. We proposed
to add the guidelines and also proposed to add regulatory text
requiring that these guidelines be used for addressing BART
determinations under the regional haze rule. In addition, we proposed
one revision to guidelines issued in 1980 for facilities contributing
to ``reasonably attributable'' visibility impairment.
In the American Corn Growers case, the court vacated and remanded
the BART provisions of the regional haze rule. In response to the
court's ruling, on May 5, 2004 we proposed new BART provisions and
reproposed the BART guidelines. The American Corn Growers court also
remanded to the Agency its decision to extend the deadline for the
submittal of regional haze plans. Subsequently, Congress amended the
deadlines for regional haze plans (Consolidated Appropriations Act for
Fiscal Year 2004, Public Law 108-199, January 23, 2004). The May 5,
2004 proposed rule also contained an amendment to the regional haze
rule to conform to the new statutory deadlines.
We received numerous comments on both the July 20, 2001 proposal
and the May 5, 2004 reproposal. Today's final rule reflects our review
of the public comments.
DATES: The regulatory amendments announced herein take effect on
September 6, 2005.
ADDRESSES: Docket. All documents in the docket are listed in the
EDOCKET index at https://www.epa.gov/edocket. Although listed in the
index, some information is not publicly available, i.e., 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 in
EDOCKET or in hard copy at the OAR Docket, EPA/DC, EPA West, Room B102,
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 OAR Docket is (202)
566-1742.
FOR FURTHER INFORMATION CONTACT: Kathy Kaufman at (919) 541-0102 or by
e-mail at Kaufman.Kathy@epa.gov or Todd Hawes at 919-541-5591 or by e-
mail Hawes.Todd@epa.gov.
SUPPLEMENTARY INFORMATION:
Regulated Entities. This final rule will affect the following:
State and local permitting authorities and Indian Tribes containing
major stationary sources of pollution affecting visibility in federally
protected scenic areas.
This list is not intended to be exhaustive, but rather provides a
guide for readers regarding entities likely to be regulated by this
action. This list gives examples of the types of entities EPA is now
aware could potentially be regulated by this action. Other types of
entities not listed could also be affected. To determine whether your
facility, company, business, organization, etc., is regulated by this
action, you should examine the applicability criteria in Part II of
this preamble. If you have any questions regarding the applicability of
this action to a particular entity, consult the people listed in the
preceding section.
Outline. The contents of today's preamble are listed in the
following outline.
I. Overview of Today's Proposed Actions
II. Background
A. Regional Haze Rule
B. Partial Remand of the Regional Haze Rule in American Corn
Growers
C. Changes in Response to American Corn Growers
D. Center for Energy and Economic Development v. EPA
E. Relationship Between BART and the Clean Air Interstate Rule
(CAIR)
F. Overview of the BART Process
III. Detailed Discussion of the BART Guidelines
A. Introduction
B. Scope of the Rule--Whether to Require States to Follow the
Guidelines for All BART Sources
C. How to Identify BART-Eligible Sources
D. How to Determine Which BART-Eligible Sources are Subject to
BART
E. The BART Determination Process
IV. Effect of This Rule on State Options for Using Alternative
Strategies In Lieu of Source-by-Source BART
V. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory Planning and Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
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 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
I. Overview of Today's Actions
Today's rulemaking provides the following changes to the regional
haze regulations:
(1) Revised regulatory text in response to the American Corn
Growers court's remand, to require that the BART determination include
an analysis of the degree of visibility improvement resulting from the
use of control technology at each source subject to BART,
(2) Revised regulatory text in 40 CFR 51.308(b) and deletion of 40
CFR 51.308(c) Options for regional planning in response to
Congressional legislation amending the deadlines for submittal of
regional haze implementation plans. This provision had provided for an
alternative process for States to submit regional haze implementation
plans in attainment areas,
(3) BART guidelines, contained in a new Appendix Y to 40 CFR part
51,
(4) New and revised regulatory text, to be added to 40 CFR
51.308(e), regarding the use of Appendix Y in establishing BART
emission limits, and
(5) Revised regulatory language at 40 CFR 51.302 to clarify the
relationship between New Source Performance Standards (NSPS) and BART
for reasonably attributable visibility impairment.
How This Preamble Is Structured. Section II provides background on
the
[[Page 39105]]
Clean Air Act (CAA) BART requirements as codified in the regional haze
rule, on the D.C. Circuit Court decision which remanded parts of the
rule, and on the April 2004 reproposal responding to the remand.
Section III discusses specific issues in the BART guidelines in more
detail, including background on each issue, major comments we received
on the July 2001 proposal and May 2004 reproposal, and our responses to
those comments. Section IV provides a discussion of how this rulemaking
complies with the requirements of Statutory and Executive Order
Reviews.
II. Background
A. The Regional Haze Rule
In 1999, we published a final rule to address a type of visibility
impairment known as regional haze (64 FR 35714, July 1, 1999). The
regional haze rule requires States to submit implementation plans
(SIPs) to address regional haze visibility impairment in 156 Federally-
protected parks and wilderness areas. These 156 scenic areas are called
``mandatory Class I Federal areas'' in the Clean Air Act (CAA)\1\ but
are referred to simply as ``Class I areas'' in today's rulemaking. The
1999 rule was issued to fulfill a long-standing EPA commitment to
address regional haze under the authority and requirements of sections
169A and 169B of the CAA.
---------------------------------------------------------------------------
\1\ See, e.g. CAA Section 169A(a)(1).
---------------------------------------------------------------------------
As required by the CAA, we included in the final regional haze rule
a requirement for BART for certain large stationary sources that were
put in place between 1962 and 1977. We discussed these requirements in
detail in the preamble to the final rule (64 FR at 35737-35743). The
regulatory requirements for BART were codified at 40 CFR 51.308(e) and
in definitions that appear in 40 CFR 51.301.
The CAA, in sections 169A(b)(2)(A) and in 169A(g)(7), uses the term
``major stationary source'' to describe those sources that are the
focus of the BART requirement. To avoid confusion with other CAA
requirements which also use the term ``major stationary source'' to
refer to a somewhat different population of sources, the regional haze
rule uses the term ``BART-eligible source'' to describe these sources.
The BART-eligible sources are those sources which have the potential to
emit 250 tons or more of a visibility-impairing air pollutant, were put
in place between August 7, 1962 and August 7, 1977, and whose
operations fall within one or more of 26 specifically listed source
categories. Under the CAA, BART is required for any BART-eligible
source which a State determines ``emits any air pollutant which may
reasonably be anticipated to cause or contribute to any impairment of
visibility in any such area.'' Accordingly, for stationary sources
meeting these criteria, States must address the BART requirement when
they develop their regional haze SIPs.
Section 169A(g)(7) of the CAA requires that States must consider
the following factors in making BART determinations:
(1) The costs of compliance,
(2) The energy and nonair quality environmental impacts of
compliance,
(3) Any existing pollution control technology in use at the source,
(4) The remaining useful life of the source, and
(5) The degree of improvement in visibility which may reasonably be
anticipated to result from the use of such technology.
These statutory factors for BART were codified at 40 CFR
51.308(e)(1)(ii).
In the preamble to the regional haze rule, we committed to issuing
further guidelines to clarify the requirements of the BART provision.
The purpose of this rulemaking is to fulfill this commitment by
providing guidelines to assist States as they identify which of their
BART-eligible sources should undergo a BART analysis (i.e., which are
``sources subject to BART'') and select controls in light of the
statutory factors listed above (``the BART determination'').
B. Partial Remand of the Regional Haze Rule in American Corn Growers v.
EPA
In response to challenges to the regional haze rule by various
petitioners, the D.C. Circuit in American Corn Growers \2\ issued a
ruling striking down the regional haze rule in part and upholding it in
part. This section discusses the court's opinion in that case as
background for the discussion of specific changes to the regional haze
rule and the BART guidelines presented in the next two sections,
respectively.
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\2\ American Corn Growers et al. v. EPA, 291 F.3d 1 (2002).
---------------------------------------------------------------------------
We explained in the preamble to the 1999 regional haze rule that
the BART requirements in section 169A(b)(2)(A) of the CAA demonstrate
Congress' intent to focus attention directly on the problem of
pollution from a specific set of existing sources (64 FR 35737). The
CAA requires that any of these existing sources ``which, as determined
by the State, emits any air pollutant which may reasonably be
anticipated to cause or contribute to any impairment of visibility [in
a Class I area],'' shall install the best available retrofit technology
for controlling emissions.\3\ In determining BART, the CAA requires the
State to consider several factors that are set forth in section
169(g)(2) of the CAA, including the degree of improvement in visibility
which may reasonably result from the use of such technology.
---------------------------------------------------------------------------
\3\ CAA sections 169A(b)(2) and (g)(7).
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The regional haze rule addresses visibility impairment resulting
from emissions from a multitude of sources located across a wide
geographic area. Because the problem of regional haze is caused in
large part by the long-range transport of emissions from multiple
sources, and for certain technical and other reasons explained in that
rulemaking, we had adopted an approach that required States to look at
the contribution of all BART sources to the problem of regional haze in
determining both applicability and the appropriate level of control.
Specifically, we had concluded that if a source potentially subject to
BART is located within an upwind area from which pollutants may be
transported downwind to a Class I area, that source ``may reasonably be
anticipated to cause or contribute'' to visibility impairment in the
Class I area. Similarly, we had also concluded that in weighing the
factors set forth in the statute for determining BART, the States
should consider the collective impact of BART sources on visibility. In
particular, in considering the degree of visibility improvement that
could reasonably be anticipated to result from the use of such
technology, we stated that the State should consider the degree of
improvement in visibility that would result from the cumulative impact
of applying controls to all sources subject to BART. We had concluded
that the States should use this analysis to determine the appropriate
BART emission limitations for specific sources.\4\
---------------------------------------------------------------------------
\4\ See 66 FR at 35737-35743 for a discussion of the rationale
for the BART requirements in the 1999 regional haze rule.
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In American Corn Growers v. EPA, industry petitioners challenged
EPA's interpretation of both these aspects of the BART determination
process and raised other challenges to the rule. The court in American
Corn Growers concluded that the BART provisions in the 1999 regional
haze rule were inconsistent with the provisions in the CAA ``giving the
states broad authority over BART determinations.'' 291 F.3d at 8.
Specifically, with respect to the test for determining whether a source
is subject to BART, the court held that the
[[Page 39106]]
method that EPA had prescribed for determining which eligible sources
are subject to BART illegally constrained the authority Congress had
conferred on the States. Id. The court did not decide whether the
general collective contribution approach to determining BART
applicability was necessarily inconsistent with the CAA. Id. at 9.
Rather, the court stated that ``[i]f the [regional haze rule] contained
some kind of a mechanism by which a state could exempt a BART-eligible
source on the basis of an individualized contribution determination,
then perhaps the plain meaning of the Act would not be violated. But
the [regional haze rule] contains no such mechanism.'' Id. at 12.
The court in American Corn Growers also found that our
interpretation of the CAA requiring the States to consider the degree
of improvement in visibility that would result from the cumulative
impact of applying controls in determining BART was inconsistent with
the language of the Act. 291 F.3d at 8. Based on its review of the
statute, the court concluded that the five statutory factors in section
169A(g)(2) ``were meant to be considered together by the states.'' Id.
at 6.
C. Changes in Response to American Corn Growers
Today's rule responds to the American Corn Growers court's decision
on the BART provisions by including changes to the regional haze rule
at 40 CFR 51.308, and by finalizing changes to the BART guidelines.
This section outlines the changes to the regional haze rule due to the
court's remand. It also explains the minor change we are making to the
section of the regulation governing the use of the 1980 BART guidelines
when conducting BART analyses for certain power plants for reasonably
attributable (i.e., localized) visibility impairment.
1. Determination of Which Sources Are Subject to BART
Today's action addresses the American Corn Growers court's vacature
of the requirement in the regional haze rule requiring States to assess
visibility impacts on a cumulative basis in determining which sources
are subject to BART. Because this requirement was found only in the
preamble to the 1999 regional haze rule (see 291 F.3d at 6, citing 64
FR 35741), no changes to the regulations are required. Instead, this
issue is addressed in the BART guidelines, which provide States with
appropriate techniques and methods for determining which BART-eligible
sources ``may reasonably be anticipated to cause or contribute to any
impairment of visibility in any mandatory Class I Federal area.'' These
processes, to address the holding of American Corn Growers by
eliminating the previous constraint on State discretion, are explained
in further detail in sections II.D. and III below.
2. Consideration of Anticipated Visibility Improvements in BART
Determinations
Pursuant to the remand in American Corn Growers, we are amending
the regional haze rule to require the States to consider the degree of
visibility improvement resulting from a source's installation and
operation of retrofit technology, along with the other statutory
factors set out in CAA section 169A(g)(2), when making a BART
determination. This has been accomplished by listing the visibility
improvement factor with the other statutory BART determination factors
in 40 CFR 51.308(e)(1)(A), so that States will be required to consider
all five factors, including visibility impacts, on an individual source
basis when making each individual source BART determination.
D. Center for Energy and Economic Development v. EPA
After the May 2004 reproposal of the BART guidelines, the D.C.
Circuit decided another case where BART provisions were at issue,
Center for Energy and Economic Development v. EPA, 398 F.3d 653, 2005
(``CEED''). In this case, the court granted a petition challenging
provisions of the regional haze rule governing the optional emissions
trading program for certain western States and Tribes (the ``WRAP Annex
Rule'').
The court in CEED affirmed our interpretation of CAA section
169A(b)(2) as allowing for non-BART alternatives where those
alternatives are demonstrated to make greater progress than BART.
(CEED, slip. op. at 13). The court, however, took issue with provisions
of the regional haze rule governing the methodology of that
demonstration. Specifically, 40 CFR 51.308(e)(2) requires that
visibility improvements under source-specific BART--the benchmark for
comparison to the alternative program--be estimated based on the
application of BART controls to all sources subject to BART. (This
section was incorporated into the WRAP Annex rule by reference at 40
CFR 51.309(f)). The court held that we could not require this type of
group BART approach--vacated in American Corn Growers in a source-
specific BART context--even in a program in which State participation
was wholly optional.
The BART guidelines as proposed in May 2004 contained a section
offering guidance to States choosing to address their BART-eligible
sources under the alternative strategy provided for in 40 CFR
51.308(e)(2). This guidance included criteria for demonstrating that
the alternative program achieves greater progress towards eliminating
visibility impairment than would BART.
In light of the D.C. Circuit's decision in CEED, we have not
included the portion of the proposed BART guidelines addressing
alternative programs in today's rulemaking. We remain committed to
providing States with the flexibility to address BART through
alternative means, and we note again that our authority to do so was
upheld in CEED. Therefore, we intend to revise the provisions of the
regional haze rule governing such alternatives and provide any
additional guidance needed in a subsequent rulemaking conducted as
expeditiously as practicable.
E. Relationship Between BART and the Clean Air Interstate Rule (CAIR)
On March 10, 2005, EPA issued the Clean Air Interstate Rule (CAIR),
requiring reductions in emissions of sulfur dioxide (SO2)
and nitrogen oxides (NOX) in 28 eastern States and the
District of Columbia. When fully implemented, CAIR will reduce
SO2 emissions in these states by over 70 percent and
NOX emissions by over 60 percent from 2003 levels. The CAIR
imposes specified emissions reduction requirements on each affected
State, and establishes an EPA-administered cap and trade program for
EGUs in which States may participate as a means to meet these
requirements. The relationship between BART and the Clean Air
Interstate Rule (CAIR) is discussed in section IV. below.
F. Overview of the BART Process
The process of establishing BART emission limitations can be
logically broken down into three steps: First, States identify those
sources which meet the definition of ``BART-eligible source'' set forth
in 40 CFR 51.301. Second, States determine whether such sources
``emit[] any air pollutant which may reasonably be anticipated to cause
or contribute to any impairment of visibility [in a Class I area.]'' A
source which fits this description is ``subject to BART.'' Third, for
each source subject to BART, States then identify the appropriate type
and the level of control for reducing emissions.
[[Page 39107]]
Identifying BART-eligible sources. The CAA defines BART-eligible
sources as those sources which fall within one of 26 specific source
categories, were built during the 15-year window of time from 1962 to
1977, and have potential emissions greater than 250 tons per year. The
remand did not address the step of identifying BART-eligible sources,
which is conceptually the simplest of the three steps.
Sources reasonably anticipated to cause or contribute to visibility
impairment (sources subject to BART). As we noted in the preamble to
the 1999 regional haze rule, defining the individual contributions of
specific sources of the problem of regional haze can be time-consuming
and expensive. Moreover, Congress established a very low threshold in
the CAA for determining whether a source is subject to BART. We are
accordingly finalizing several approaches for States for making the
determination of whether a source ``emits any pollutants which may
reasonably be anticipated to cause or contribute to any visibility
impairment.'' Certain of these approaches would allow States to avoid
undertaking unnecessary and costly studies of an individual source's
contribution to haze by allowing States to adopt more streamlined
processes for determining whether, or which, BART-eligible sources are
subject to BART.
In 1999, we adopted an applicability test that looked to the
collective contribution of emissions from an area. In particular, we
stated that if ``a State should find that a BART-eligible source is
`reasonably anticipated to cause or contribute' to regional haze if it
can be shown that the source emits pollutants within a geographic area
from which pollutants can be emitted and transported downwind to a
Class I area.'' \5\ States certainly have the discretion to consider
that all BART-eligible sources within the State are ``reasonably
anticipated to cause or contribute'' to some degree of visibility
impairment in a Class I area.
---------------------------------------------------------------------------
\5\ 64 FR 335740, July 1, 1999. The regional haze rule discusses
at length why we believe that States should draw this conclusion. 64
FR at 35739-35740.
---------------------------------------------------------------------------
This is consistent with the American Corn Growers court's decision.
As previously noted, the court's concern with our original approach
governing BART applicability determinations was that it would have
``tie[d] the states' hands and force[d] them to require BART controls
at sources without any empirical evidence of the particular source's
contribution to visibility impairment.'' 291 F.3d at 8. By the same
rationale, we believe it would be an impermissible constraint of State
authority for the EPA to force States to conduct individualized
analyses in order to determine that a BART-eligible source ``emits any
air pollutant which may reasonably be anticipated to cause or
contribute to any impairment of visibility in any [Class I] area.'' \6\
American Corn Growers did not decide whether consideration of
visibility impact on a cumulative basis would be invalid in all
circumstances. 291 F.3d at 9. Given the court's emphasis on the
importance of the role of the States in making BART determinations, we
believe that a State's decision to use a cumulative analysis at the
eligibility stage is consistent with the CAA and the findings of the
D.C. Circuit.
---------------------------------------------------------------------------
\6\ CAA section 169A(b)(2)(A).
---------------------------------------------------------------------------
We believe a State may conclude that all BART-eligible sources
within the State are subject to BART.\7\ Any potential for inequity
towards sources could be addressed at the BART determination stage,
which contains an individualized consideration of a source's
contribution in establishing BART emission limits.
---------------------------------------------------------------------------
\7\ See 64 FR at 35714, 35721; see also Supporting Information
for Proposed Applicability of Regional Haze Regulations, Memorandum
by Rich Damberg to Docket A-95-38, U.S. Environmental Protection
Agency, Office of Air Quality Planning and Standards, July 29, 1997.
---------------------------------------------------------------------------
States also have the option of performing an analysis to show that
the full group of BART-eligible sources in a State cumulatively may not
be reasonably anticipated to cause or contribute to any visibility
impairment in Class I areas. We anticipate that in most, if not all
States, the BART-eligible sources are likely to cause or contribute to
some visibility impairment in Class I areas. However, it is possible
that using a cumulative approach, a State could show that its BART
sources do not pose a problem.
Finally, States may consider the individualized contribution of a
BART-eligible source to determine whether a specific source is subject
to BART. Specifically, States may choose to undertake an analysis of
each BART-eligible source in the State in considering whether each such
source meets the test set forth in the CAA of ``emit[ting] any air
pollutant which may reasonably be anticipated to cause or contribute to
any impairment of visibility in any [Class I] area.'' Alternatively,
States may choose to presume that all BART-eligible sources within the
State meet this applicability test, but provide sources with the
ability to demonstrate on a case by case basis that this is not the
case. Either approach appears consistent with the D.C. Circuit's
statement that a collective contribution approach may be appropriate so
long as the States are allowed to exempt sources on the basis of an
individualized contribution determination. 291 F.3d at 8.
Today's guidelines include different options States can use to
assess whether source should be subject to BART. States need to
determine whether to make BART determinations for all of their BART-
eligible sources, or to consider exempting some of them from BART
because they may not reasonably be anticipated to cause or contribute
to any visibility impairment in a Class I area. For assessing the
impact of BART-eligible sources on nearby Class I areas, we are
including a process whereby the States would use an air quality model
able to estimate a single source's contribution to visibility
impairment and a different process whereby States could exempt groups
of sources with common characteristics based on representative model
plant analyses. Finally, States may use cumulative modeling to show
that no sources in a State are subject to BART.
The BART determination. The State must determine the appropriate
level of BART control for each source subject to BART. Section
169A(g)(7) of the CAA requires States to consider the following factors
in making BART determinations: (1) The costs of compliance, (2) the
energy and nonair quality environmental impacts of compliance, (3) any
existing pollution control technology in use at the source, (4) the
remaining useful life of the source, and (5) the degree of improvement
in visibility which may reasonably be anticipated to result from the
use of such technology. The remand did not address the first four steps
of the BART determination. The remand did address the final step,
mandating that we must permit States to take into account the degree of
improvement in visibility that would result from imposition of BART on
each individual source when deciding on particular controls.
The first four factors are somewhat similar to the engineering
analysis in the original BART guidelines proposed in 2001 and
reproposed in 2004. The BART guidelines also contains a detailed
discussion of available and cost-effective controls for reducing
SO2 and NOX emissions from large coal-fired
electric generating units (EGUs).
For assessing the fifth factor, the degree of improvement in
visibility from various BART control options, the States may run
CALPUFF or another appropriate dispersion model to predict visibility
impacts. Scenarios would be
[[Page 39108]]
run for the pre-controlled and post-controlled emission rates for each
of the BART control options under review. The maximum 24-hour emission
rates would be modeled for a period of three or five years of
meteorological data. States have the flexibility to develop their own
methods to evaluate model results.
III. Detailed Discussion of the Final BART Guidelines
A. Introduction
In this section of the preamble, we discuss changes or
clarifications to the reproposed BART guidelines. Where relevant, we
also respond to comments received during the comment period on the 2001
proposal. For each provision of the guidelines that we are changing or
clarifying, we provide discussion of, as appropriate:
--Background information,
--How the provision was addressed in the May 2004 reproposal (and in
the 2001 proposal, if different from the reproposal),
--A summary of comments received on the provision, either from the May
2004 reproposal, from the July 2001 proposal, or from both, and
--The changes or clarifications that we are finalizing and the reasons
for these changes or clarifications.
B. Scope of the Rule--Whether To Require States To Follow the
Guidelines for All BART Sources
Background. Section 169A(b)(1) of the CAA requires EPA to issue
regulations to provide guidelines to States on the implementation of
the visibility program. In addition, the last sentence of section
169A(b) states:
In the case of a fossil-fuel fired generating powerplant having
a capacity in excess of 750 megawatts, the emission limitations
required under this paragraph shall be determined pursuant to
guidelines, promulgated by the Administrator under paragraph (1).
This statutory requirement clearly requires us to promulgate BART
guidelines that the States must follow in establishing BART emission
limitations for power plants with a total capacity exceeding the 750
megawatt cutoff. The statute is less clear regarding the import of the
guidelines for sources other than 750 megawatt power plants.
Proposed rules. Both the 2001 proposal and the 2004 reproposal
included a requirement for States to follow the procedures set out in
the guidelines in determining BART for sources in all of the 26 listed
BART categories. The 2001 proposal requested comment on whether the
regional haze rule should: (1) Require the use of the guidelines only
for 750 megawatt utilities, with the guidelines applying as guidance
for the remaining categories, or (2) require the use of the guidelines
for all of the affected source categories.
Comments. We received comments on this issue in both 2001 and 2004.
Comments varied widely on whether we can or should require the use of
the guidelines for all of the affected source categories.
Comments from State, local and tribal air quality agencies
generally supported our proposal to require the use of the guidelines
for all of the source categories. These comments cited a need for
national consistency in the application of the BART requirement across
the source categories, and from State to State. One State agency
commenter questioned our legal authority to require the use of the
guidelines for all source categories; and several State agency
commenters, while supporting the proposal, requested that we provide
clarification of the legal authority for requiring the States to use
the guidelines in establishing BART emission limitations for all
categories.
Comments from the utility industry, from various manufacturing
trade groups, and from individual companies were critical of the
proposal to require States to follow the guidelines generally. Many
commenters also argued that EPA lacked the authority to issue
guidelines for any industrial category other than 750 megawatt
powerplants, whether the use of such guidelines were mandatory or not.
Other commenters stated that the language in the CAA clearly restricts
the scope of mandatory guidelines to larger powerplants. The commenters
cited the legislative history of the 1977 Clean Air Act amendments in
support of this position, and frequently claimed that requiring the
guidelines for all 26 categories of sources would deprive States of
flexibility in implementing the program.
Comments from environmental organizations and the general public
supported the approach in the proposed rule and stated that EPA is
obligated to establish regional haze BART guidelines by rulemaking for
all 26 categories of stationary sources. Environmental organization
comments noted that while Congress expressed a particular concern for
750 MW powerplants, this added emphasis on one sector does not change
requirements in the Act for all BART-eligible sources. Accordingly,
these commenters believed that we should not construe a special
emphasis on powerplants as a restriction on our authority to require
use of the guidelines for all categories.
Final rule. The CAA and the relevant legislative history make clear
that EPA has the authority and obligation to publish mandatory
guidelines for powerplants exceeding 750 megawatts. As previously
noted, Congress in section 169A(b) of the CAA expressly provided that
emission limitations for powerplants larger than 750 megawatts ``shall
be determined pursuant to guidelines promulgated by the
Administrator.'' (Emphasis added). This unambiguous language leaves
little room to dispute that the guidelines EPA is required to
promulgate must be used by States when making BART determinations for
this class of sources.
Having carefully considered the comments and further reviewed the
CAA and the legislative history, we have concluded that it would not be
appropriate for EPA to require States to use the guidelines in making
BART determinations for other categories of sources. The better reading
of the Act indicates that Congress intended the guidelines to be
mandatory only with respect to 750 megawatt powerplants. Thus, while we
acknowledge the State agency comments and the policy reasons support
consistency across States, we are not requiring States to use the BART
guideline for these other categories. In response to State concerns
about equitable application of the BART requirement to source owners
with similar sources in different States, we do encourage States to
follow the guidelines for all source categories but are not requiring
States to do so. States should view the guidelines as helpful guidance
for these other categories.
We disagree with comments that the CAA and the legislative history
prohibit us from issuing guidance for other source categories. As the
guidelines make clear, States are not required to follow the approach
in the guidelines for sources other than 750 megawatt powerplants. As
such, although we believe that the guidelines provide useful advice in
implementing the BART provisions of the regional haze rule, we do not
believe that they hamper State discretion in making BART
determinations.
C. How To Identify BART-Eligible Sources
Section II of the BART guidelines contains a step-by-step process
for identifying stiationary sources that are ``BART-eligible'' under
the definitions in the regional haze rule. The four basic steps are:
Step 1: Identify the emission units in the BART categories.
Step 2: Identify the start-up dates of those emission units.
[[Page 39109]]
Step 3: Compare the potential emissions from units identified in
Steps 1 and 2 to the 250 ton/year cutoff.
Step 4: Identify the emission units and pollutants that constitute
the BART-eligible source.
In this section of the preamble, we discuss some of the comments we
received on the steps in this process, and any changes we are making in
light of those comments.
Step 1: Identify the Emission Units in the BART Categories
The BART guidelines list the 26 source categories that the CAA uses
to describe the types of stationary sources that are BART-eligible.
Both proposals clarified the descriptions of particular source
categories.
Comments. The final rule addresses comments on the following source
categories. Some comments discussed below were submitted in response to
the 2001 propoosal and were not addressed in the reproposal; other
comments were submitted in response to the reproposal in 2004.
(1) ``Charcoal production facilities.'' We received comments in
2001 from two industry trade groups requesting that the final
guidelines explicitly exclude ``low-emission'' charcoal production
facilities from BART. These comments cited a 1975 study considered by
Congress in development of the BART category list in the 1977 CAA
amendments. This 1975 study noted that some charcoal production
facilities have much higher emissions factors (i.e., 352 pounds of PM
per ton of charcoal produced versus 20 to 25 pounds of PM per ton of
charcoal produced). Accordingly, the comments asserted that the intent
of Congress in the 1977 CAA amendments was to provide incentives for
higher-emitting facilities to reduce their emissions, rather than to
make the entire category BART-eligible.
(2) ``Chemical process plants.'' In 2001 a trade group representing
the pharmaceutical industry requested that we determine in the
guidelines that the term ``chemical process plants'' does not include
pharmaceutical plants.
(3) ``Primary aluminum ore reduction.'' Comments from the aluminum
industry in 2001 noted that not all emissions units at these facilities
are necessarily involved in ``primary ore reduction.'' Thus, the
comments recommended that we clarify that contiguous sources that are
not related to primary aluminum ore reduction, such as fabricating
facilities and ingot operations, are not BART-eligible. Further, the
comments recommended that we use definitions in the NSPS for primary
aluminum plants to describe the BART-eligible emissions units.
(4) ``Fossil-fuel fired steam electric plants of more than 250
million Btu/hour heat input.'' The 2004 reproposal contained the
clarification, requested by commenters, that this source category
refers only to those fossil-fuel fired steam electric plants that
generate electricity for sale. One commenter objected to this
clarification on the basis that emissions from co-generators would be
excluded; many other commenters supported the clarification. Another
commenter requested that we also clarify that this category includes
only those steam electric plants that burn greater than 50 percent
fossil fuel, in order to be consistent with the definition of fossil-
fuel boilers proposed in the guidelines. Other commenters requested
that we clarify whether the definition includes units which are located
at a steam electric plant, but which themselves are not in any of the
26 BART source categories, such as simple cycle turbines, emergency
diesel engines, and reciprocating internal combustion engines (RICE).
Several commenters opined that the category should exclude combined
cycle units with heat recovery steam generators that lack auxiliary
firing, arguing that these units should count as simple cycle turbines.
These commenters pointed to other EPA regulatory programs that treat
combined cycle units with supplemental firing differently from combined
cycle units without supplemental firing. They argued that we should
only consider a combined cycle unit to be a ``steam electric plant'' if
it has supplemental firing.
(5) ``Fossil-fuel boilers of more than 250 million Btu/hour heat
input.'' The 2004 reproposal clarified that this category should be
read as including only those boilers individually greater than 250
million Btu/hour heat input. We received many comments on this
interpretation, both in favor and opposed. Those favoring this
interpretation (generally industry commenters) cited the implementation
burden that including smaller boilers would pose, the high cost-
effectiveness of controlling smaller boilers, and the relatively
smaller impact on regional haze that smaller boilers would pose. They
also noted that this interpretation is most consistent with definitions
in the NOX SIP call and new source performance standards
(NSPS).
Commenters opposing this interpretation (environmental groups, one
state, and one regional planning organization) noted that regarding all
boilers, irrespective of size, as BART-eligible so long as the
aggregate heat input exceeds 250 million Btu/hour is more consistent
with the definition of stationary source under the Prevention of
Significant Deterioration (PSD) program. These commenters noted that
under the CAA, BART and PSD are complementary programs aimed at
regulating the same source categories; either one or the other applies
depending upon when the source was constructed.
The 2004 reproposal also clarified that if a boiler smaller than
250 million Btu/hour heat input is an integral part of an industrial
process in a BART source category other than electric utilities, then
the boiler should be considered part of the BART-eligible source in
that category. Under these circumstances, the boiler, as part of the
BART-eligible source, should be considered for emission control. Some
commenters opposed this interpretation, asserting that it would result
in an ``arbitrary and capricious'' inconsistency, in that some smaller
boilers would be BART-eligible, and others would not. These commenters
also noted that these boilers could be included in regional haze SIPs
as necessary for making ``reasonable progress'' toward CAA visibility
goals, even if they are not considered to be BART-eligible.
Final rule. After considering the comments, we have made the
following determinations on the definitions of the following source
categories:
(1) ``Charcoal production facilities.'' We believe that in using
the term ``charcoal production facilities'' Congress intended to
encompass all types of charcoal production facilities. We do not agree
with comments that any inferences can necessarily be made regarding the
presence of different PM emission factors for different types of
charcoal production facilities in the 1975 report. For example, if
Congress only intended to regulate a subset of the charcoal production
industry, then we believe Congress could have easily indicated this in
the source category title, as was done for ``kraft pulp mills'' and for
``coal cleaning plants (thermal dryers).'' We also note that it is more
likely that plants in the charcoal production industry with lower
emission factors have emissions that are less than the 250 tons per
year cutoff for BART eligibility.
(2) ``Chemical process plants.'' We believe that there is a clear
precedent to include pharmaceutical manufacturing operations as
``chemical process plants.'' In the standard industrial classification
(SIC) system, pharmaceutical operations are generally
[[Page 39110]]
in SIC codes 2833 and 2834, which are a subset of 2-digit category 28
``Chemical and Allied products.'' Similarly, in the new North American
Industrial Classification Codes (NAICS), pharmaceutical manufacturing
is codes 32541 and 32542, which is a subset of the ``chemical
manufacturing subsector'' which is code 325. Accordingly, in the PSD
program, pharmaceutical plants have been treated as ``chemical process
plants.'' The commenter is correct in noting that EPA has consistently
distinguished between chemical manufacturing and pharmaceutical
manufacturing. Examples where different standards or guidelines are
established included control technique guideline (CTG) documents, NSPS
standards under section 111 of the CAA, and, most recently, maximum
achievable control technology (MACT) standards under section 112 of the
CAA. We do not agree that these differentiations for emissions
standards necessarily require differentiation for purposes of
determining BART eligibility. Therefore we believe pharmaceuticals
should not be excluded from BART. However, we expect that because of
the MACT standards, there is a very low probability that BART
determinations will lead to further control requirements from chemical
production processes at pharmaceutical plants.
(3) ``Primary aluminum ore reduction.'' We agree with commenters
that BART-eligible units in this source category should be defined
consistently with the NSPS definition for primary aluminum ore
reduction. Therefore we have added a clarification to that effect in
the final BART guidelines. We note that this definition is also
consistent with the definition at 40 CFR 63.840, which establishes
applicability for this source category for the MACT program.
(4) ``Fossil-fuel fired steam electric plants of more than 250
million Btu/hour heat input.'' We have retained the clarification that
this source category refers only to those fossil-fuel fired steam
electric plants that generate electricity for sale. We believe that
this clarification helps to distinguish those plants that are electric
utilities from plants in other industrial categories. We also believe
that while large co-generators would be excluded from the fossil-fuel
fired steam electric plant source category, most large co-generators
will be BART-eligible under the fossil-fuel fired boilers source
category.
We do not believe it makes sense for this category to include only
those steam electric plants that burn greater than 50 percent fossil
fuel. We do not believe that a boiler should be excluded from BART
review simply because it is located at a plant which burns less than 50
percent fossil fuel. Emissions from any such boiler could be a
significant contributor to regional haze, and as such, we believe that
each fossil-fuel fired boiler merits a BART review.
We do wish to clarify that units which are located at a steam
electric plant, but which themselves are not in any of the 26 BART
source categories, should not be considered to be BART-eligible units.
We believe that Congress intended that BART review be focused on units
in the source categories it delineated. This interepretation is most
consistent with the definition of BART-eligible source as we have
explained it elsewhere in this preamble in reference to whether entire
plants are included if only some units at the plant meet the statutory
criteria.
Finally, we believe that all combined cycle units are included in
the definition of fossil fuel fired steam electric plant, regardless of
whether the combined cycle unit's heat recovery steam generator lacks
auxilliary firing. Commenters are correct that some EPA programs have
treated combined cycle units with supplemental firing differently from
combined cycle units without supplemental firing. However, while some
EPA programs do not consider a unit to be a combined cycle unit unless
it contains supplemental firing, the definition at issue here is the
definition of fossil-fuel fired steam electric plant, not fossil-fuel
fired unit. The CAA defines both ``stationary source'' (for visibility
purposes) and ``major emitting facility'' (for PSD purposes) to include
``fossil fuel fired steam electric plants.'' In previous guidance for
PSD, we have explained that combined cycle gas turbines do fall within
the category of ``fossil-fuel fired steam electric plants.'' \8\
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\8\ See https://www.epa.gov/Region7/programs/artrd/air/nsr/
nsrmemos/turbines.pdf.
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(5) ``Fossil-fuel boilers of more than 250 million Btu/hour heat
input.'' We have decided to retain the interpretation that this
category should be read as including only those boilers individually
greater than 250 million Btu/hour heat input. We agree with commenters
who noted that including smaller boilers would pose considerable
implementation burden. As noted in the 2004 reproposal notice, we do
not believe that this interpretation is likely to have a substantial
impact. Because smaller boilers are generally less cost-effective to
control, we believe that BART review would be unlikely to result in a
significant amount of control on these boilers.
We are also retaining the clarification that if a boiler smaller
than 250 million Btu/hour heat input is an integral part of an
industrial process in a BART source category other than electric
utilities, then the boiler should be considered part of the BART-
eligible source in that category. (By ``integral to the process'', we
mean that the process uses any by-product of the boiler, or vice-versa.
We have added this clarification to the definition in the BART
guidelines.) We believe that if a State is already considering a BART-
eligible industrial process for control, and a boiler is integrated
into that process, it makes common sense not to prematurely rule out
control options any of the emissions from that process as a whole.
(Note that a boiler which is not integral, but is simply attached to a
plant, should not be included.) For example, Kraft pulp mills may have
boilers that are not serving the energy infrastructure of the plant but
typically are serving a process directly by using the waste liquor from
the process. Including such a boiler in consideration of control
options for the process adds minimal additional burden while leaving
maximum discretion to the State in determining BART for the process as
a whole.
We are also clarifying today that we have determined that this
category should include all individual boilers of greater than 250
million Btu/hour heat input burning any amount of fossil fuel, as
opposed to only those boilers that burn greater than 50 percent fossil
fuel. We believe that it is quite possible that boilers of this size
could contribute to regional haze in a Class I area even if they burn
less than 50 percent fossil fuel. Therefore we believe that each fossil
fuel-fired boiler merits a BART review.
Step 2: Identify the Start-up Dates of Those Emission Units
Background. BART applies only to a major stationary source which
``was in existence on August 7, 1977 but which has not been in
operation for more than fifteen years as of such date.'' The visibility
regulations define ``in existence'' and ``in operation'' in 40 CFR
51.301. Under these regulations, promulgated in 1980, ``in existence''
means
that the owner or operator has obtained all necessary
preconstruction approvals or permits * * * and either has (1) begun,
or caused to begin, a continuous program of physical on-site
construction of the facility or (2) entered into binding agreements
or contractual obligations.
[[Page 39111]]
The term ``in operation'' means engaged in activity related to the
primary design function of the source.
Step 2 also addresses the treatment of ``reconstructions'' and
``modifications.'' Under the definition of BART-eligible facility,
sources which were in operation before 1962 but reconstructed during
the 1962 to 1977 time period are treated as new sources as of the time
of reconstruction.\9\ The same policies and procedures for identifying
reconstructed ``affected facilities'' under the NSPS are used to
determine whether a source has been reconstructed for purposes of the
BART requirements. ``Modifications'' under the CAA refers to physical
change or change in the method of operation at a source which has led
to an increase in emissions. In the proposed BART guidelines, we stated
that the best interpretation of the visibility provisions is that a
modification to a source does not change an emission's unit
construction date for purposes of BART applicability. We requested
comment on an alternative interpretation that we believed would be more
difficult to implement. Under this approach, sources built before 1962
but modified during the 1962 to 1977 time frame would be considered
``new'' at the time of modification.
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\9\ However, sources reconstructed after 1977, which
reconstruction had gone through NSR/PSD permitting, are not BART-
eligible.
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Comments. We received comments in 2001 and 2004 on the discussion
in the guideline of the term ``in existence.'' These comments were
critical of our statement in the guidelines that sources which had
``commenced construction,'' that is, those which had entered into
binding contracts, would be considered to be in existence, even if
actual operations did not begin until after the August 7, 1977 cutoff
date. These commenters asserted that Congress did not intend to treat a
source as ``existing'' in 1977 if it was not yet built.
Other commenters interpreted the proposed guidelines as expanding
the definition of BART-eligible sources by requiring States to find
that all emission units at a facility are BART-eligible if one part of
the facility was built within the 1962-1977 time period. Other comments
did not suggest that we had already expanded the definition in the
proposed guidelines, but did suggest that we should expand the
definition in that way in the final guidelines. Some commenters noted
that there was a degree of confusion in the regulated community on
whether the proposed guidelines were requiring BART for all units at a
power plant, including those that were in operation before August 7,
1962, if these units are co-located with one or more units that were
put in place within the 1962-1977 time period. These commenters
requested that we clarify that such pre-1962 units would not be BART-
eligible.
Some commenters asserted that our proposed approach is unworkable,
because the approach requires States to identify all emissions units
put in place between the 1962 and 1977. Some of these commenters
asserted that Congress intended that BART would apply only if entire
plants satisfy the statutory criteria. These comments suggested that
BART should apply only if an entire plant that is one of the 26 listed
source category types had been placed in operation at a discrete point
within the 15 year time period for BART eligibility. These commenters
asserted that our proposed guidelines, which involved the
identification and aggregation of individual emission units within the
1962-1977 time period, were inconsistent with Congress' intent. Other
comments suggested that EPA could improve implementation of the program
by covering discrete projects rather than individual emissions units. A
few commenters suggested that for purposes of identifying such discrete
projects, we consider using the term ``process or production unit''
that we used in hazardous air pollutant regulations under CAA section
112(g).
One commenter requested that the guidelines clarify that emissions
from ``linked'' emission units should not be considered in determining
BART eligibility. That is, even if changes in emissions from one unit
could affect the emissions from a ``linked'' unit that was not put in
place within the 1962-1977 time period, that would not affect whether
the ``linked'' unit was BART-eligible. Another commenter suggested that
the approach set forth in the guidelines for identifying BART-eligible
sources is inappropriate because the particular set of units identified
as BART-eligible will not necessarily ``provide a reasonable and
logical platform for the installation of controls.''
Other commenters stated that facilities that had been modified
after 1977 should not be included in the pool of sources subject to
BART. Such facilities, it was argued, already meet the BART
requirements because of the controls installed to meet the requirements
of PSD, NSR, or the NSPS.
Final rule. We disagree with the comments recommending that we
interpret the term ``in existence'' to refer to sources that are in
actual operation. The discussion of this term in Step 2 is based on the
regulatory definition which has been in place since 1980. The
guidelines reiterate this definition and provide examples of its
application. Interpreting the term ``in existence'' as suggested by
commenters would not be consistent with the plain language of the
regulations.
In the 2001 and 2004 proposed guidelines, we noted that ``the term
`in existence' means the same thing as the term `commence construction'
as that term is used in the PSD regulations.'' Commenters were critical
of this statement, claiming that EPA was unlawfully reinterpreting
section 169A in the guidelines. The statement in Step 2 of guidelines,
however, is not a reinterpretation of the term ``in existence,'' but
merely a statement noting that the definitions used in the visibility
regulations and the PSD regulations are essentially identical.
To the extent that commenters are claiming that the existing
regulatory definition of ``in existence'' is unlawful, EPA's
interpretation of this term in promulgating the 1980 regulations was a
reasonable one. First, it is worth noting that the regulations adopting
this interpretation of the term ``in existence'' were in effect in 1990
and implicitly endorsed by Congress in its 1990 amendments to the
CAA.\10\ Moreover, the definition at issue accurately reflects
Congress' intent that the BART provision apply to sources which had
been ``grandfathered'' from the new source review permit requirements
in parts C and D of title I of the CAA. For all the above reasons, we
are neither revising the regional haze regulations to change the
definition of ``in existence,'' nor adopting a strained interpretation
of the regulation in the guidelines.
---------------------------------------------------------------------------
\10\ See CAA section 193.
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We agree with commenters that the definition of ``BART-eligible
source'' does not require States to find that all emission units at a
facility are subject to the requirement of the BART provisions if only
one part of the facility was built within the 1962-1977 time period. We
received comments on this issue in 2001 and clarified in 2004 that the
BART guidelines do not direct States to find that all boilers at a
facility are BART-eligible if one or more boilers at the facility were
put in place during the relevant time period. Under Step 2 of the
process for identifying BART-eligible sources set out in the
guidelines, States are required to identify only those boilers that
were put in place between 1962 and 1977. As explained in the preamble
to the 2004 reproposed guidelines, only these boilers are potentially
subject to BART.
[[Page 39112]]
We do not agree with those commenters claiming that Congress
clearly intended to apply BART only if an ``entire plant'' was put into
place between 1962 and 1977. Most of the BART source categories are
broad descriptions types of industrial facilities such as ``kraft pulp
mills,'' ``petroleum refineries'' or ``primary copper smelters.'' For
such source categories, the implication of commenters' argument would
that if any portion of the plant was in operation before August 7,
1962, then Congress intended to exempt the entire plant from BART. Such
an interpretation is problematic and inequitable. For example, under
this approach BART would not apply if a company chose to expand its
production by building a second production line at an existing line in
1965, but would apply if the same company chose to build the same
equipment at a greenfield site. Under the approach set forth in the
guidelines, such a production line would be treated similarly under
either set of facts. We do not believe that either the plain language
of the statute or the relevant legislative history indicate that
Congress intended for major-emitting sources of visibility-impairing
pollutants to be exempted from the BART requirements because a plant
contains some emission units that began operation before 1962.
Also, we disagree with the comment that modifications after 1977
should change an emissions' unit date of construction for purposes of
BART applicability. The commenter's suggestion that such sources
already meet BART requirements may be accurate, but does not provide a
basis for exempting the source from review. As we note in the
guideline, the review process will take into account the controls
already in place and the State may find that these controls are
consistent with BART.
We agree with the comments related to ``linked'' emission units.
The comment appears to address whether emissions from the ``linked''
units are considered in determining BART eligibility. In the
guidelines, we are focusing on only the emissions units that were put
in place during the 1962 to 1977 dates and the emissions from those
units. We agree that even if changes in emissions from one unit could
affect the emissions from a ``linked'' unit that was not put in place
within the 1962-1977 time period, this would not affect whether the
``linked'' unit was BART-eligible.
We disagree with commenters that the approach set forth in the
guidelines for identifying BART-eligible sources is inappropriate
because the particular set of units identified as BART-eligible will
not necessarily ``provide a reasonable and logical platform for the
installation of cont