Assessment of Anticipated Visibility Improvements at Surrounding Class I Areas and Cost Effectiveness of Best Available Retrofit Technology for Four Corners Power Plant and Navajo Generating Station: Advanced Notice of Proposed Rulemaking, 44313-44334 [E9-20826]
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
Monday through Friday, except Federal
holidays. The Docket Office (telephone
(800) 647–5527) is located at the street
address stated in the ADDRESSES section.
Comments will be available in the AD
docket shortly after receipt.
Hawker Beechcraft Corporation (Type
Certificate Numbers 3A15, 3A16, and
A23CE formerly held by Raytheon
Aircraft Company; formerly held by
Beech Aircraft Corporation):Docket No.
FAA–2009–0797; Directorate Identifier
2009–CE–032–AD.
List of Subjects in 14 CFR Part 39
Comments Due Date
(a) We must receive comments on this
airworthiness directive (AD) action by
October 27, 2009.
Air transportation, Aircraft, Aviation
safety, Incorporation by reference,
Safety.
The Proposed Amendment
Accordingly, under the authority
delegated to me by the Administrator,
the FAA proposes to amend 14 CFR part
39 as follows:
PART 39—AIRWORTHINESS
DIRECTIVES
Affected ADs
(b) This AD supersedes AD 91–18–19,
Amendment 39–8022.
Applicability
(c) This AD applies to the following
airplane models and serial numbers that are
certificated in any category:
(1) Group 1 Airplanes (retains the actions
and applicability from AD 91–18–19):
1. The authority citation for part 39
continues to read as follows:
Model
Authority: 49 U.S.C. 106(g), 40113, 44701.
§ 39.13
[Amended]
2. The FAA amends § 39.13 by
removing Airworthiness Directive (AD)
91–18–19, Amendment 39–8022 (56 FR
42224, August 24, 1991), and adding the
following new AD:
Serial Nos. (SNs)
58, 58A ...............
58P, 58PA ..........
58TC, 58TCA .....
95–B55, 95–
B55A.
A36 .....................
B36TC ................
TH–733 through TH–
1609.
TJ–3 through TJ–497.
TK–1 through TK–151.
TC–1947 through TC–
2456.
E–825 through E–2578.
EA–242 and EA–273
through EA–509.
Model
Serial Nos. (SNs)
E55, E55A ..........
F33A ...................
V35B ..................
TE–1078 through TE–
1201.
CE–634 through CE–
1536.
D–9862 through D–
10403.
(2) Group 2 Airplanes (aligns certain SNs
applicability to Models A36TC airplanes):
Model
SNs
A36TC ................
EA–1 through EA–241
and EA–243 through
EA–272.
Unsafe Condition
(d) This AD results from reports of
incorrect washers installed in the pilot and
copilot shoulder harnesses on certain Beech
33, 35, 36, 55, 58, and 95 series airplanes. We
are issuing this AD to detect and correct an
incorrect washer installed in the pilot and
copilot shoulder harnesses. This failure
could result in a malfunctioning shoulder
harness. Such a failure could lead to
occupant injury.
Compliance
(e) To address this problem, you must do
the following, unless already done:
Actions
Compliance
Procedures
(1) Inspect the washers on the ‘‘D’’ ring of the
pilot and copilot shoulder harnesses for correct metal, inner and outer diameter, and
thickness.
(i) For Group 1 Airplanes: Within the next 100
hours time-in-service (TIS) after October
21, 1991 (the effective date of AD 91–18–
19).
(ii) For Group 2 Airplanes: Within the next 100
hours TIS after the effective date of this AD.
Before further flight, after the inspection required by paragraph (e)(1) of this AD.
Follow Beechcraft Mandatory Service Bulletin
No. 2394, dated December 1990.
(2) If you find, as a result of the inspection required by paragraph (e)(1) of this AD, any
washer does not meet the criteria for correct
metal, inner and outer diameter, and thickness, replace the incorrect washer with part
number 100951X060YA washer.
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Alternative Methods of Compliance
(AMOCs)
Related Information
(f) The Manager, Wichita Aircraft
Certification Office (ACO), FAA, has the
authority to approve AMOCs for this AD, if
requested using the procedures found in 14
CFR 39.19. Send information to ATTN: Steve
Potter, Aerospace Engineer, ACE–118W,
Wichita Aircraft Certification Office (ACO),
1801 Airport Road, Room 100, Wichita,
Kansas 67209; telephone: (316) 946–4124;
fax: (316) 946–4107. Before using any
approved AMOC on any airplane to which
the AMOC applies, notify your appropriate
principal inspector (PI) in the FAA Flight
Standards District Office (FSDO), or lacking
a PI, your local FSDO.
(g) In reviewing the docket and project
files, we found no AMOCs submitted for AD
91–18–19. Since there are no AMOCs
approved for AD 91–18–19 to approve for
this AD, transfer of AMOCs to this AD does
not apply.
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(h) To get copies of the service information
referenced in this AD, contact Hawker
Beechcraft Corporation, P.O. Box 85, Wichita,
Kansas 67201–0085; telephone: (800) 429–
5372 or (316) 676–3140; Internet: https://
pubs.hawkerbeechcraft.com. To view the AD
docket, go to U.S. Department of
Transportation, Docket Operations, M–30,
West Building Ground Floor, Room W12–
140, 1200 New Jersey Avenue, SE.,
Washington, DC 20590, or on the Internet at
https://www.regulations.gov.
Issued in Kansas City, Missouri, on
August 20, 2009.
Kim Smith,
Manager, Small Airplane Directorate, Aircraft
Certification Service.
[FR Doc. E9–20832 Filed 8–27–09; 8:45 am]
BILLING CODE 4910–13–P
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Follow Beechcraft Mandatory Service Bulletin
No. 2394, dated December 1990.
ENVIRONMENTAL PROTECTION
AGENCY
40 CFR Part 49
[EPA–R09–OAR–2009–0598; FRL–8950–6]
Assessment of Anticipated Visibility
Improvements at Surrounding Class I
Areas and Cost Effectiveness of Best
Available Retrofit Technology for Four
Corners Power Plant and Navajo
Generating Station: Advanced Notice
of Proposed Rulemaking
AGENCY: Environmental Protection
Agency (EPA).
ACTION: Advanced Notice of Proposed
Rulemaking.
SUMMARY: The Environmental Protection
Agency is providing an Advanced
Notice of Proposed Rulemaking (ANPR)
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concerning the anticipated visibility
improvements and the cost effectiveness
for different levels of air pollution
controls as Best Available Retrofit
Technology (BART) for two coal-fired
power plants, Four Corners Power Plant
(FCPP) and Navajo Generating Station
(NGS), located on the Navajo Nation.
This ANPR briefly describes the
provisions in Part C, Subpart II of the
Clean Air Act (CAA or Act), EPA’s
implementing regulations, and the
Tribal Authority Rule (TAR) for
promulgating Federal Implementation
Plans (FIPs) to protect visibility in
national parks and wilderness areas
known as Class I Federal areas.
The specific purpose of this ANPR is
for EPA to collect additional
information that we may consider in
modeling the degree of anticipated
visibility improvements in the Class I
areas surrounding FCPP and NGS and
for determining whether BART controls
are cost effective at this time. EPA is
also requesting any additional
information that any person believes the
agency should consider in promulgating
a FIP establishing BART for FCPP and
NGS.
EPA intends to publish separate FIPs
proposing our BART determinations for
FCPP and NGS approximately 60 days
after receiving information from this
ANPR. EPA will not respond to
comments or information submitted in
response to this ANPR. The information
submitted in response to this ANPR will
be used in developing the subsequent
proposed FIPs containing our detailed
BART determinations for FCPP and
NGS.
The FCPP and NGS FIP proposals
following this ANPR will request further
public comment. During the public
comment period for the proposed FIPs
containing the FCPP and NGS BART
determinations, EPA intends to hold
separate public hearings at locations to
be determined near each facility.
EPA will not hold a public hearing for
this ANPR. This ANPR also serves to
begin EPA’s 60-day consultation period
with the Federal Land Managers (FLMs)
within the Departments of Interior and
Agriculture. Information necessary to
initiate consultation is contained in this
ANPR and supporting documentation
included in the docket for this ANPR.
EPA will address any matters raised by
the FLMs in this 60-day consultation
period when we propose the BART FIPs
for FCPP and NGS.
DATES: Comments on this ANPR must be
submitted no later than September 28,
2009.
ADDRESSES: Submit comments,
identified by docket number EPA–R09–
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OAR–2009–0598, by one of the
following methods:
1. Federal eRulemaking Portal:
www.regulations.gov. Follow the on-line
instructions.
2. E-mail: lee.anita@epa.gov.
3. Mail or delivery: Anita Lee (Air-3),
U.S. Environmental Protection Agency
Region IX, 75 Hawthorne Street, San
Francisco, CA 94105–3901.
Instructions: All comments will be
included in the public docket without
change and may be made available
online at www.regulations.gov,
including any personal information
provided, unless the comment includes
Confidential Business Information (CBI)
or other information whose disclosure is
restricted by statute. Information that
you consider CBI or otherwise protected
should be clearly identified as such and
should not be submitted through
www.regulations.gov or e-mail.
www.regulations.gov is an ‘‘anonymous
access’’ system, and EPA will not know
your identity or contact information
unless you provide it in the body of
your comment. If you send e-mail
directly to EPA, your e-mail address
will be automatically captured and
included as part of the public comment.
If EPA cannot read your comment due
to technical difficulties and cannot
contact you for clarification, EPA may
not be able to consider your comment.
Docket: The index to the docket for
this action is available electronically at
www.regulations.gov and in hard copy
at EPA Region IX, 75 Hawthorne Street,
San Francisco, California. While all
documents in the docket are listed in
the index, some information may be
publicly available only at the hard copy
location (e.g., copyrighted material), and
some may not be publicly available in
either location (e.g., CBI). To inspect the
hard copy materials, please schedule an
appointment during normal business
hours with the contact listed in the FOR
FURTHER INFORMATION CONTACT section.
FOR FURTHER INFORMATION CONTACT:
Anita Lee, EPA Region IX, (415) 972–
3958, lee.anita@epa.gov.
SUPPLEMENTARY INFORMATION:
Throughout this document, ‘‘we’’, ‘‘us’’,
and ‘‘our’’ refer to EPA.
Table of Contents
I. Background
A. Statutory and Regulatory Framework for
Addressing Visibility
B. Statutory and Regulatory Framework for
Addressing Sources Located on Tribal
Lands
C. Statutory and Regulatory Framework for
BART Determinations
D. EPA’s Intended Action Subsequent to
ANPRM
E. Factual Background
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1. Four Corners Power Plant
2. Navajo Generating Station
3. Relationship of NOX and PM to
Visibility Impairment
II. Request for Public Comment
A. Factor 1: Cost of Compliance
1. FCPP
a. Estimated Cost of Controls
b. Cost Effectiveness of Controls
2. NGS
a. Estimated Cost of Controls
b. Cost Effectiveness of Controls
B. Factor 5: Degree of Visibility
Improvement
1. FCPP
a. Visibility Modeling Scenarios
b. EPA Modifications to Emission Rate
Inputs
c. Ammonia Background
d. Natural Background
e. Visibility Modeling Results
2. NGS
a. Visibility Modeling Scenarios
b. EPA Modifications to Emission Rate
Inputs
c. Ammonia Background and Natural
Background
d. Visibility Modeling Results
C. Factor 2: Energy and Non-Air Quality
Impacts
1. FCPP
2. NGS
D. Factor 3: Existing Controls at the
Facility
1. FCPP
2. NGS
E. Factor 4: Remaining Useful Life of
Facility
1. FCPP
2. NGS
III. Statutory and Executive Order Reviews
I. Background
A. Statutory and Regulatory Framework
for Addressing Visibility
Part C, Subsection II, of the Act,
establishes a visibility protection
program that sets forth ‘‘as a national
goal the prevention of any future, and
the remedying of any existing,
impairment of visibility in mandatory
class I Federal areas which impairment
results from man-made air pollution.’’
42 U.S.C. 7491A(a)(1). The terms
‘‘impairment of visibility’’ and
‘‘visibility impairment’’ are defined in
the Act to include a reduction in visual
range and atmospheric discoloration. Id.
7491A(g)(6). A fundamental
requirement of the program is for EPA,
in consultation with the Secretary of the
Interior, to promulgate a list of
‘‘mandatory Class I Federal areas’’
where visibility is an important value.
Id. 7491A(a)(2). These areas include
national wilderness areas and national
parks greater than six thousand acres in
size. Id. 7472(a).
On November 30, 1979, EPA
identified 156 mandatory Class I Federal
areas, including for example: Grand
Canyon National Park in Arizona (40
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CFR 81.403); Mesa Verde National Park
and La Garita Wilderness Area in
Colorado (Id. 81.406); Bandolier
Wilderness Area in New Mexico (Id.
81.421); and Arches, Bryce Canyon,
Canyonlands and Capitol Reef National
Parks in Utah (Id. 81.430). All of these
mandatory Class I Federal areas and
many others are within a 300-km radius
of either FCPP or NGS.
On December 2, 1980, EPA
promulgated what it described as the
first phase of the required visibility
regulations, codified at 40 CFR 51.300–
51.307 (45 FR 80084). The 1980
regulations deferred regulating regional
haze from multiple sources finding that
the scientific data was inadequate at
that time. Id. at 80086.
Congress added Section 169B to the
Act in the 1990 Amendments, requiring
EPA to take further action to reduce
visibility impairment in broad
geographic regions. 42 U.S.C. 7492. In
1993, the National Academy of Sciences
released a comprehensive study 1
required by the 1990 Amendments
concluding that ‘‘current scientific
knowledge is adequate and control
technologies are available for taking
regulatory action to improve and protect
visibility.’’
EPA first promulgated regulations to
address regional haze on April 22, 1999.
64 FR 35765 (April 22, 1999). EPA’s
1999 regional haze regulations included
a provision requiring States to review
BART-eligible sources for potentially
mandating further air pollution controls.
Congress defined BART-eligible sources
as ‘‘each major station stationary source
which is in existence on August 7, 1977,
but which has not been in operation for
more than fifteen years as of such date’’
which emits pollutants that are
reasonably anticipated to cause or
contribute to visibility impairment. 42
U.S.C. 7479(b)(2)(A).
EPA’s 1999 regulations followed the
five factor approach set forth in the
statutory definition of BART. However,
the regulations treated the fifth factor,
the degree of visibility improvement, on
an area-wide rather than source specific
basis. 64 FR 35741. The Court remanded
the 1999 regulations to EPA on that
issue. American Corn Growers Assoc. v.
EPA, 291 F.3d 1 (DC Cir. 2002). EPA
promulgated revisions to the regulations
in June 2003, which were remanded on
narrow grounds not relevant to this
action. Center for Energy and Economic
Development v. EPA, 398 F.3d 653 (DC
Cir. 2005). Finally, EPA revised regional
1 ‘‘Protecting Visibility in National Parks and
Wilderness Areas’’, Committee on Haze in National
Parks and Wilderness Areas, National Research
Council, National Academy Press (1993).
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haze regulations in March 2005, which
were upheld by the Court of Appeals for
the District of Columbia Circuit. Utility
Air Regulatory Group v. EPA, 471 F.3d
1333 (DC Cir. 2006).
B. Statutory and Regulatory Framework
for Addressing Sources Located on
Tribal Lands
The 1990 Amendments included
Section 301(d)(4) of the Act directing
EPA to promulgate regulations for
controlling air pollution on Tribal lands.
EPA promulgated regulations to
implement this Congressional directive,
known as the Tribal Authority Rule
(TAR), in 1998. 63 FR 7264 (1998)
codifed at 40 CFR 49.1–49.11. See
generally Arizona Public Service v. EPA,
211 F.3d 1280 (DC Cir. 2000).
Section 49.11 of the TAR authorizes
EPA to promulgate a FIP when EPA
determines such regulations are
‘‘necessary or appropriate’’ to protect air
quality. 40 CFR 49.11(a). Pursuant to the
authority in the TAR, EPA promulgated
a source specific FIP for FCPP 2006. The
Court of Appeals for the Tenth Circuit
considered the regulatory language in 40
CFR 49.11(a) and concluded that ‘‘[i]t
provides the EPA discretion to
determine what rulemaking is necessary
or appropriate to protect air quality and
requires the EPA to promulgate such
rulemaking.’’ Arizona Public Service v.
EPA, 562 F.3d 1116 (10th Cir. 2009).
C. Statutory and Regulatory Framework
for BART Determinations
FCPP and NGS are the only BART
eligible sources located on the Navajo
Nation. EPA’s guidelines for evaluating
BART are set forth in Appendix Y to 40
CFR Part 51. The Guidelines include a
‘‘five factor’’ analysis for BART
determinations. Id. at IV.A. Those
factors, from the definition of BART,
are: (1) Costs of compliance, (2) the
energy and non-air quality
environmental impacts of compliance,
(3) any pollution control equipment in
use or in existence 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. 40 CFR
51.308(e)(1)(ii)(A).
D. EPA’s Intended Action Subsequent to
the ANPR
After receiving information from this
ANPR, EPA intends to propose separate
FIPs for FCPP and NGS containing our
determination of what level of control
technology is BART for each power
plant. EPA has determined it has
authority to promulgate these FIPs
under CAA Section 301(d)(4), 40 CFR
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Part 49.11, and 40 CFR 51.308(e). Any
person may submit information
concerning EPA’s authority during the
30 day comment period for this ANPR.
As discussed more fully below, EPA
is specifically seeking information in
this ANPR on two of the listed
considerations in the five factor test: (1)
The data inputs to model the degree of
improvement in visibility which may
reasonably be anticipated from different
levels of air pollution controls as BART
and (2) the costs of compliance of those
potential BART controls. We anticipate
that those two factors will generate the
most comments on our subsequent
proposed BART FIPs for FCPP and NGS.
Information on the other three factors in
the five factor test may also be
submitted in response to this ANPR.
E. Factual Background
1. Four Corners Power Plant
FCPP is a privately owned and
operated coal-fired power plant located
on the Navajo Nation Indian Reservation
near Farmington, New Mexico. Based on
lease agreements signed in 1960, FCPP
was constructed and has been operating
on real property held in trust by the
Federal government for the Navajo
Nation. The facility consists of five coalfired electric utility steam generating
units with a total capacity of 2060
megawatts (MW). Units 1, 2, and 3 at
FCPP are owned entirely by Arizona
Public Service (APS), which serves as
the facility operator, and are rated to
170 MW (Units 1 and 2) and 220 MW
(Unit 3). Units 4 and 5 are each rated to
a capacity of 750 MW, and are co-owned
by six entities: Southern California
Edison (48%), APS (15%), Public
Service Company of New Mexico (13%),
Salt River Project (SRP) (10%), El Paso
Electric Company (7%), and Tucson
Electric Power (7%).
Based on 2006 emissions data from
the EPA Clean Air Markets Division,2
FCPP is the largest source of NOX
emissions in the United States (nearly
45,000 tons per year (tpy) of NOX).
FCPP, located near the Four Corners
region of Arizona, New Mexico, Utah,
and Colorado, is within 300 kilometers
(km) of sixteen mandatory Class I areas:
Arches National Park (NP), Bandolier
National Monument (NM), Black
Canyon of the Gunnison Wilderness
Area (WA), Canyonlands NP, Capitol
Reef NP, Grand Canyon NP, Great Sand
Dunes NP, La Garita WA, Maroon BellsSnowmass WA, Mesa Verde NP, Pecos
WA, Petrified Forest NP, San Pedro
Parks WA, West Elk WA, Weminuche
WA, and Wheeler Park WA. APS
2 ‘‘Clean Air Markets—Data and Maps’’ at
https://camddataandmaps.epa.gov/gdm/.
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provided information relevant to a
BART analysis to EPA on January 29,
2008. The information consisted of a
BART engineering and cost analysis
conducted by Black and Veatch (B&V)
dated December 4, 2007 (Revision 3), a
BART visibility modeling protocol
prepared by ENSR Corporation (now
called AECOM and will be referred to as
AECOM throughout this document)
dated January 2008, a BART visibility
modeling report prepared by AECOM
dated January 2008, and APS BART
Analysis conclusions, dated January 29,
2008. APS provided supplemental
information on cost and visibility
modeling in correspondence dated May
28, 2008, June 10, 2008, November
2008, and March 16, 2009.
2. Navajo Generating Station
NGS is a coal-fired power plant
located on the Navajo Nation Indian
Reservation, just east of Page, Arizona,
approximately 135 miles north of
Flagstaff, Arizona. The facility is coowned by six different entities: U.S.
Bureau of Reclamation (24.3%), SRP,
which also acts as the facility operator
(21.7%), Los Angeles Department of
Water and Power (21.2%), APS (14%),
Nevada Power Company (11.3%), and
Tucson Electric Power (7.5%).
Based on 2006 emissions data from
the EPA Clean Air Markets Division,
NGS is the fourth largest source of NOX
emissions in the United States (nearly
35,000 tpy). NGS, in northern Arizona,
is located within 300 km of eleven Class
I areas: Arches NP, Bryce Canyon NP,
Canyonlands NP, Capitol Reef NP,
Grand Canyon NP, Mazatzal WA, Mesa
Verde NP, Petrified Forest NP, Pine
Mountain WA, Sycamore Canyon WA,
and Zion NP.
SRP submitted to EPA a BART
modeling protocol prepared by AECOM
dated September 2007, and a BART
Analysis, conducted by AECOM, dated
November 2007. SRP provided
supplemental information regarding
cost on July 29, 2008, a revised BART
Analysis, dated December 2008, and
additional information regarding
modeling and emission control rates on
June 3, 2009.
3. Relationship of NOX and PM to
Visibility Impairment
Particulate matter (PM) less than 10
microns (millionths of a meter) in size
interacts with light. The smallest
particles in the 0.1 to 1 micron range
interact most strongly as they are about
the same size as the wavelengths of
visible light. The effect of the
interaction is to scatter light from its
original path. Conversely, for a given
line of sight, such as between a
mountain scene and an observer, light
from many different original paths is
scattered into that line. The scattered
light appears as whitish haze in the line
of sight, obscuring the view.
PM emitted directly into the
atmosphere, also called primary PM, for
example from materials handling, tends
to be coarse, i.e. around 10 microns,
since it is created from the breakup of
larger particles of soil and rock. PM that
is formed in the atmosphere from the
condensation of gaseous chemical
pollutants, also called secondary PM,
tends to be fine, i.e. smaller than 1
micron, since they are formed from the
buildup of individual molecules. Thus,
secondary PM tends to contribute more
to visibility impairment than primary
PM because it is in the size range where
it most effectively interacts with visible
light. NOX and ammonia are two
examples of precursors to secondary
PM.
NOX is a gaseous pollutant that can be
oxidized to form nitric acid. In the
atmosphere, nitric acid in the presence
of ammonia can form particulate
ammonium nitrate. The formation of
ammonium nitrate is also dependent on
temperature and relative humidity.
Particulate ammonium nitrate can grow
into the size range that effectively
interacts with light by coagulating
together and by taking on additional
pollutants and water. The same
principle applies to SO2 and the
formation of particulate ammonium
sulfate.
In air quality models, secondary PM
is tracked separately from primary PM
because the amount of secondary PM
formed depends on weather conditions
and because it can be six times more
effective at impairing visibility. This is
reflected in the equation used to
calculate visibility impact from
concentrations measured by the
Interagency Monitoring of Protected
Visual Environments (IMPROVE)
monitoring network covering Class I
areas.3
II. Request for Public Comment
A. Factor 1: Cost of Compliance
1. FCPP
a. Estimated Cost of Controls
APS, through its contractor B&V,
evaluated the BART cost of compliance
analysis using the EPA Coal Utility
Environmental Cost (CUECost) program,
information supplied by equipment
vendors, estimates from previous
projects, and projected costs from FCPP.
The cost estimates provided by APS
(updated in the March 16, 2009
submission to EPA) are included in
Table 1 for four different levels of
control technology to reduce NOX and
in Table 2 for four different levels of
control options to reduce PM on Units
1–3. The NOX control technology
options in Table 1 are: (1) Low NOX
Burners (LNB) on Units 1 and 2 and
LNB plus overfire air (OFA) on Units 3–
5; (2) selective catalytic reduction (SCR)
on all units (units 1–5); (3) SCR plus
LNB on all units (Units 1–5); and (4)
SCR plus LNB + OFA on all units (units
1–5). The PM control options for Units
1–3 4 are: (1) Electrostatic precipitators
(ESP) upstream of current air quality
control equipment, i.e., venturi
scrubbers; (2) pulse jet fabric filter
(baghouse) upstream of current air
quality control equipment; (3) wet metal
ESP downstream of venturi scrubber,
and (4) wet membrane ESP downstream
of venturi scrubber.
TABLE 1—FCPP COSTS OF COMPLIANCE FOR NOX BASED ON APS’S ANALYSIS
LNB/LNB + OFA 5
SCR
SCR + LNB
SCR + LNB + OFA
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Total Capital Investment
Unit
Unit
Unit
Unit
1
2
3
4
...
...
...
...
$4,109,000
4,109,000
4,701,000
15,260,000
3 Guidance for Estimating Natural Visibility
Conditions Under the Regional Haze Rule, U.S.
Environmental Protection Agency’’, EPA–454/B–
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$110,664,000
119,010,000
113,084,000
265,406,000
$111,609,000
121,066,000
115,420,000
273,892,000
03–005, September 2003; https://www.epa.gov/ttn/
oarpg/t1pgm.html.
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$112,058,000
121,496,000
114,851,000
279,444,000
4 PM emissions from Units 4 and 5 at FCPP are
already controlled by baghouses.
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44317
TABLE 1—FCPP COSTS OF COMPLIANCE FOR NOX BASED ON APS’S ANALYSIS—Continued
LNB/LNB + OFA 5
Unit 5 ...
SCR
15,260,000
SCR + LNB
265,406,000
SCR + LNB + OFA
273,892,000
279,444,000
$21,764,000
23,468,000
23,010,000
56,883,000
56,883,000
$21,685,000
23,385,000
22,729,000
57,237,000
57,237,000
Total Annual Costs
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
...
...
...
...
...
$922,000
922,000
1,055,000
3,447,000
3,447,000
$22,297,000
23,634,000
23,173,000
55,755,000
55,755,000
TABLE 2—FCPP COSTS OF COMPLIANCE FOR PM BASED ON APS’S ANALYSIS
Upstream 6 ESP
Upstream baghouse
Wet metal ESP
Wet membrane ESP
Total Capital Investment
Unit 1 ...
Unit 2 ...
Unit 3 ...
$37,236,000
45,702,000
40,135,000
$50,515,000
60,992,000
59,594,000
$32,136,000
32,879,000
59,594,000 7
$23,360,000
23,901,000
26,988,000
$8,781,000
8,972,000
10,309,000
$5,652,000
6,658,000
7,557,000
Total Annual Costs
Unit 1 ...
Unit 2 ...
Unit 3 ...
$10,169,000
11,011,000
10,925,000
$13,950,000
14,481,000
16,559,000
b. Cost Effectiveness of Controls
To determine the cost effectiveness of
controls, typically expressed in cost per
ton of pollutant reduced ($/ton),
estimating the amount of NOX and PM
that will be reduced from the various
control options is necessary. The
estimated reduction of the pollutant is
determined by establishing the baseline
emissions and the degree of emissions
reduction from the control technology.
40 CFR Part 51, App. Y, Step 4, c.
APS estimated NOX emissions
reductions by starting with baseline
emission rates of NOX of: 0.78 pounds
of NOX per million BTU heat input (lb/
MMBtu) for Unit 1; 0.64 lb/MMBtu for
Unit 2; 0.59 lb/MMBtu for Unit 3; and
0.49 lb/MMBtu from Units 4 and 5 each.
For the four control technology options,
APS estimated FCPP could achieve the
following emissions reductions: (1) LNB
on Units 1 and 2 would reduce NOX
45% and 33%, respectively and
LNB + OFA on Units 3, and 4–5 would
reduce NOX 44% and 29%, respectively;
(2) SCR on Units 1–5 would reduce NOX
approximately 88–91%; (3) SCR + LNB
on Units 1–5 would reduce NOX by 88–
93%; and (4) SCR + LNB + OFA on Units
1–5 would reduce NOX by
approximately 88—93%.
APS estimated PM emissions
reductions using baseline emission rates
of PM of: 0.025 lb/MMBtu for Unit 1;
0.029 lb/MMBtu for Unit 2; and 0.029
lb/MMBtu for Unit 3. APS estimated
that the four different PM control
options would all achieve 52% control
on Unit 1 and 59% control on Units 2
and 3.
Table 3 lists the reduction in NOX
emissions and cost effectiveness
estimated by APS for the four control
technology options listed in Table 1.
Table 4 provides the corresponding
estimates for PM.
TABLE 3—FCPP EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR NOX
LNB/LNB + OFA 8
SCR
SCR + LNB
SCR + LNB + OFA
Tons of NOX Reduced per Year (tpy)
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
...
...
...
...
...
2,569
1,573
2,465
3,798
3,798
5,138
4,344
5,025
11,665
11,665
5,285
4,344
5,025
11,665
11,665
5,285
4,344
5,023
11,665
11,665
4,118
5,403
4,579
4,103
5,384
4,523
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Cost Effectiveness of Controls ($/ton)
Unit 1 ...
Unit 2 ...
Unit 3 ...
359
586
428
4,343
5,484
4,582
5 Capital and annual cost values are for LNB on
Units 1 and 2, and LNB + OFA on Units 3–5.
6 Upstream refers to a location before the existing
venturi scrubbers.
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7 This estimate was reported by APS in their
December 2007 analysis. EPA believes this value
was reported by APS in error because it is unlikely
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 3—FCPP EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR NOX—Continued
LNB/LNB + OFA 8
Unit 4 ...
Unit 5 ...
SCR
SCR + LNB
908
908
4,872
4,872
SCR + LNB + OFA
4,780
4,780
4,907
4,907
TABLE 4—FCPP EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR PM
Upstream ESP
Wet metal
ESP
Upstream baghouse
Wet membrane ESP
Tons of PM Reduced per Year (tpy)
Unit 1 ...
Unit 2 ...
Unit 3 ...
95
127
161
95
127
161
95
127
161
95
127
161
92,024
70,470
63,963
59,233
52,294
46,888
Cost Effectiveness of Controls ($/ton)
Unit 1 ...
Unit 2 ...
Unit 3 ...
106,571
86,485
67,785
146,195
113,739
102,741
EPA’s regulations recommend using
the EPA’s Office of Air Quality Planning
and Standards’ Air Pollution Cost
Control Manual (Sixth Edition, January
2002) for estimating costs of
compliance. 40 CFR Part 51, App. Y,
Step 4.a.4. The Air Pollution Cost
Control Manual provides guidance and
methodologies for developing accurate
and consistent estimates of cost for air
pollution control devices. The costs that
may be estimated include capital costs,
operation and maintenance expenses,
and other annual costs. Chapter 2 (Cost
Estimation: Concepts and Methodology)
states that total capital costs may
include equipment costs, freight, sales
tax, and installation costs. For existing
facilities, retrofit costs should also be
considered, and may include auxiliary
equipment, handling and erection,
piping, insulation, painting, site
preparation, off-site facilities,
engineering, and lost production
revenue. Finally, annual costs are
estimated from costs of raw materials,
maintenance labor and materials,
utilities, waste treatment and disposal,
replacement materials, overhead,
property taxes, insurance, and
administrative charges.
For the estimated costs that FCPP
submitted, in Tables 1 & 2 above, APS
provided line-item estimates for the
direct and indirect capital costs, as well
as direct and indirect annual costs.
APS’s estimate, however, included
several costs that are not included in the
EPA Air Pollution Cost Control Manual,
including costs of unintended
consequences, such as new Continuous
Emission Monitors (CEMs) and costs of
Relative Accuracy Test Audits (RATA)
for the CEMs. Additionally, FCPP
included costs of performance tests and
‘‘owner’s costs’’ in the indirect capital
investment, such as financing, project
management, and construction support
costs, as well as legal assistance, permits
and offsets, and public relations costs.
In reviewing APS’s estimate, EPA
found that the ratio of annual costs to
the total capital costs for all control
technologies projected by APS are
considerably higher than those
projected by other facilities that were
amortized over the same 20 year time
frame. For example, the total capital
investment of SCR for Units 4 and 5 at
FCPP is comparable to the most costly
SCR retrofit (Unit 2) at NGS. However,
total annual costs for FCPP are
approximately 20% of the total capital
costs for NOX control, and
approximately 17–28% of total capital
costs for PM control. In contrast, the
total annual cost estimates by NGS for
LNB and SCR are approximately 12–
14% of the total capital costs. Other
facilities in Arizona, New Mexico, and
Oregon presented annual costs that
ranged from 12–15% of total capital
investments.
In Tables 5 and 6, EPA re-calculated
the total annual cost of the NOX and PM
control technologies based on an annual
to capital cost ratio of 15% to be
consistent with annual costs estimated
by other facilities. EPA did not adjust
APS’s estimates for capital costs.
TABLE 5—FCPP COSTS OF COMPLIANCE FOR NOX BASED ON EPA REVISIONS
LNB/LNB + OFA
SCR
SCR + LNB
SCR + LNB + OFA
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Total Annual Costs
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
$616,350
616,350
705,150
2,289,000
2,289,000
$16,599,600
17,851,500
16,962,600
39,810,900
39,810,900
$16,741,350
18,159,900
17,313,000
39,810,900
39,810,900
8 Capital and annual cost values are for LNB on
Units 1 and 2, and LNB + OFA on Units 3–5.
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$16,808,700
18,224,400
17,227,650
41,916,600
41,916,600
Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
44319
TABLE 6—FCPP COSTS OF COMPLIANCE FOR PM BASED ON EPA REVISIONS
Upstream ESP
Upstream
baghouse
Wet metal
ESP
Wet membrane
ESP
Total Annual Costs
Unit 1 .......................................................................................
Unit 2 .......................................................................................
Unit 3 .......................................................................................
In addition to the total annual cost,
other factors, such as estimated control
efficiency and how the emissions
reductions are calculated influence the
cost effectiveness of controls. See 40
CFR Part 51, App. Y, Step 4.a.4. APS
estimated that SCR could achieve NOX
control of approximately 90% or greater
from the baseline emissions. For new
facilities, 90% or greater reduction in
NOX from SCR can be reasonably
expected. See May 2009 White Paper on
SCR from Institute of Clean Air
Companies.9 For SCR retrofits on an
existing coal-fired power plant, Arizona
Department of Environmental Quality
(ADEQ) determined that 75% control
from SCR (following upstream
$5,585,400
6,855,300
6,020,250
$7,577,250
9,148,800
8,939,100
reductions by LNB) was appropriate for
the Coronado Generating Station in
Arizona.10 Based on this data, EPA has
determined that an 80% control
efficiency for SCR alone, rather than the
90+% control assumed by APS, is
appropriate. Accordingly, EPA
calculated post-SCR control NOX
emissions from FCPP to be higher than
the values of 0.06 and 0.08 lb/MMBtu
used by APS, ranging from 0.10 lb/
MMBtu from Units 4 or 5 to a maximum
of 0.16 lb/MMBtu from Unit 1.
APS reported baseline PM emissions
from Unit 3 to be 0.029 lb/MMBtu,
however, EPA has determined that 0.05
lb/MMBtu for Unit 3 is the appropriate
emission rate to use based on source test
information collected in October 2007.
$4,820,400
4,931,850
8,939,100
$3,504,000
3,585,150
4,048,200
PM emissions determined from three
one-hour test runs on October 19, 2007
were 0.041 lb/MMbtu, 0.372 lb/MMbtu,
and 0.121 lb/MMbtu. APS shut down
Unit 3 for repairs after receiving the test
results. Subsequent testing when the
unit was brought back on line showed
the unit barely met its 0.05 lb/MMbtu
emission limit. Prior year test results for
Unit 3 have also shown emissions at or
near the 0.05 lb/MMBtu limit.
Tables 7 and 8 contain EPA’s recalculated emissions reductions and
cost effectiveness for NOX and PM based
on adjusting the annual costs, the NOX
control efficiency for SCR and the
baseline PM emissions as discussed
above.
TABLE 7—FCPP COST EFFECTIVENESS FOR NOX BASED ON EPA REVISIONS
LNB/LNB + OFA
SCR
SCR + LNB
SCR + LNB + OFA
Tons of NOX Reduced per Year (tpy)
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
2,478
1,524
2,563
3,275
3,284
4,417
3,716
4,652
9,171
9,195
5,097
4,210
5,224
10,060
10,086
5,097
4,210
5,224
10,060
10,086
3,758
4,803
3,646
4,341
4,330
3,284
4,314
3,314
3,957
3,947
3,298
4,329
3,298
4,167
4,156
Cost Effectiveness of Controls ($/ton)
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
249
404
275
699
697
TABLE 8—FCPP COST EFFECTIVENESS FOR PM BASED ON EPA REVISIONS
Upstream ESP
Upstream
baghouse
Wet metal ESP
Wet membrane
ESP
Tons of PM Reduced per Year (tpy)
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Unit 1 .......................................................................................
Unit 2 .......................................................................................
Unit 3 .......................................................................................
92
123
375
92
123
375
92
123
375
92
123
375
82,334
74,143
23,867
52,378
39,968
23,867
38,074
29,054
10,808
Cost Effectiveness of Controls ($/ton)
Unit 1 .......................................................................................
Unit 2 .......................................................................................
Unit 3 .......................................................................................
9 White Paper: Selective Catalytic Reduction
(SCR) Control of NOX Emissions from Fossil Fuel-
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60,691
55,556
16,074
Fired Electric Power Plants, Prepared by Institute of
Clean Air Companies Inc., May 2009.
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The National Park Service (NPS)
calculated the cost effectiveness of SCR
using only the estimates and allowed
categories of costs from EPA’s Air
Pollution Control Costs Manual. The
NPS costs of compliance and cost
effectiveness are shown in Table 9. NPS
assumed post-SCR NOX emissions of
0.06 lb/MMBtu. The capital and annual
costs of SCR the NPS estimated using
the EPA Control Cost Manual are
considerably lower than those estimated
by APS.
TABLE 9—NPS’S ESTIMATED SCR COSTS OF COMPLIANCE FOR FCPP
Total capital cost
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
.........................................................................................................................
.........................................................................................................................
.........................................................................................................................
.........................................................................................................................
.........................................................................................................................
In Tables 10 and 11, EPA has
calculated the expected increase in
electricity generation costs to be borne
by consumers in terms of dollars per
kilowatt hour ($/kWh), assuming 85%
capacity. The calculation is based on
Total annual cost
Cost effectiveness
(ton)
$2,983,004
3,052,010
3,497,117
9,838,997
9,213,942
$1,558
1,469
1,684
1,185
1,357
$18,508,764
18,508,764
22,187,577
52,788,968
52,788,968
EPA’s annual cost estimates in Tables 5
and 6. DOE provides information on the
average cost of electricity by state in a
given year.11 In 2009, the average cost
of electricity in Arizona for residential
consumers was $0.0994/kWh, which
was below the U.S. average ($0.1128/
kWh) and the continental U.S.
maximum of $0.1993/kWh in
Connecticut.
TABLE 10—INCREASE IN ELECTRICITY COSTS FROM NOX CONTROLS AT FCPP
LNB/LNB + OFA
kWh
Unit
Unit
Unit
Unit
Unit
1
2
3
4
5
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
.......................................................................................
SCR
kWh
$0.001
0.001
0.001
0.001
0.001
SCR + LNB
kWh
$0.015
0.016
0.011
0.009
0.009
$0.015
0.016
0.012
0.009
0.009
SCR + LNB + OFA
kWh
$0.015
0.016
0.012
0.009
0.009
TABLE 11—INCREASE IN ELECTRICITY COSTS FROM PM CONTROLS AT FCPP
Upstream
baghouse
kWh
Upstream ESP
kWh
Unit 1 .......................................................................................
Unit 2 .......................................................................................
Unit 3 .......................................................................................
EPA requests comments on the data
used to estimate the cost of compliance
for the different levels of control for
NOX and PM for FCPP.
$0.005
0.006
0.004
Wet metal ESP
kWh
$0.007
0.008
0.006
2. NGS
a. Cost of Compliance
The cost estimates provided by SRP
(updated in the 2008 submissions to
EPA) are included in Table 12 for
different control options for NOX. The
$0.004
0.004
0.006
Wet membrane
ESP
kWh
$0.003
0.003
0.003
NOX control options included in Table
12 are (1) LNB plus Separated Overfire
Air (SOFA) on all three units, (2) SCR
on Units 1 and 3, LNB + SOFA on Unit
2, and (3) SCR + LNB + SOFA on all
three units.
TABLE 12—NGS COSTS OF COMPLIANCE FOR NOX BASED ON SRP ANALYSIS
LNB + SOFA
(All units)
SCR + LNB + SOFA
(Units 1 & 3);
LNB + SOFA
(Unit 2)
SCR + LNB + SOFA
(All units)
$212,000,000
14,000,000
212,000,000
$212,000,000
281,000,000
212,000,000
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Total Capital Investment
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
$14,000,000
14,000,000
14,000,000
11 https://www.eia.doe.gov/cneaf/electricity/epm/
table5_6_b.html
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TABLE 12—NGS COSTS OF COMPLIANCE FOR NOX BASED ON SRP ANALYSIS—Continued
LNB + SOFA
(All units)
SCR + LNB + SOFA
(Units 1 & 3);
LNB + SOFA
(Unit 2)
SCR + LNB + SOFA
(All units)
28,951,500
36,945,000
28,951,500
28,951,500
36,945,000
28,951,500
Total Annual Cost
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
The higher retrofit cost of SCR on
Unit 2 compared to Units 1 and 3 is a
result of the physical layout of the coal
conveyor and its supports in relation to
Unit 2. Because of limited access for
construction cranes and equipment, and
to make room for the SCR and fans by
demolishing the remainder of the old
Unit 2 chimney, costs for the Unit 2
1,622,000
1,622,000
1,622,000
retrofit are anticipated to be higher than
for Units 1 and 3.12
b. Cost Effectiveness
In determining the cost effectiveness
of controls, SRP estimated NOX
emissions reductions using baseline
emission rates of: 0.49 lb/MMBtu for
Unit 1; 0.45 lb/MMBtu for Unit 2; 0.46
lb/MMBtu for Unit 3. For the various
control options, SRP estimated
emissions reductions from: LNB +
SOFA of 47–51% to achieve 0.24 lb/
MMBtu; and from SCR of 82–84% to
achieve 0.08 lb/MMBtu.
Table 13 lists the reduction in NOX
emissions and cost effectiveness
estimated by SRP for the three control
scenarios listed in Table 12.
TABLE 13—SRP EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR NOX
SCR + LNB + SOFA
(Units 1 & 3);
LNB + SOFA
(Unit 2)
SCR + LNB + SOFA
(All units)
9,631
8,667
8,824
15,794
8,667
15,241
15,794
15,271
15,241
168
187
184
1,833
187
1,900
1,833
2,419
1,900
LNB + SOFA
(All units)
NOX Emissions Reductions (tpy)
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
Cost Effectiveness ($/ton)
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
Appendix Y of the BART Guidelines
states that average cost effectiveness
should be based on the annualized cost
and the difference between baseline
annual emissions and annual emissions
with the control technology. In
calculating the cost effectiveness, it
appears SRP used the same 24-hour
average actual emission rate from the
highest emitting day used for its
modeling inputs, rather than an annual
average rate. Therefore, EPA has revised
SRP’s estimated NOX emissions
reductions by starting with baseline
emission rates for NOX averaged over
2004–2006 of: 0.35 lb/MMBtu for Unit
1; 0.37 lb/MMBtu for Unit 2; 0.31 lb/
MMBtu for Unit 3. The revised emission
reductions and cost effectiveness
estimates are provided in Table 14.
TABLE 14—EPA EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR NOX
SCR + LNB + SOFA
(Units 1 & 3);
LNB + SOFA
(Unit 2)
SCR + LNB + SOFA
(All units)
3,658
4,208
2,284
9,643
4,208
8,158
9,643
9,888
8,158
443
385
3,002
385
3,002
3,736
LNB + SOFA
(All units)
jlentini on DSKJ8SOYB1PROD with PROPOSALS
NOX Emissions Reductions (tpy)
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
Cost Effectiveness ($/ton)
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
12 See July 29, 2008 Letter from Kevin Wanttaja
(SRP) to Deborah Jordan (EPA) and its attachment:
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TABLE 14—EPA EMISSIONS REDUCTIONS AND COST EFFECTIVENESS FOR NOX—Continued
LNB + SOFA
(All units)
SCR + LNB + SOFA
(Units 1 & 3);
LNB + SOFA
(Unit 2)
SCR + LNB + SOFA
(All units)
3,549
3,549
Unit 3 .......................................................................................................................
710
The NPS calculated the cost
effectiveness of SCR + LNB + SOFA
using only the estimates and allowed
categories of costs from EPA’s Air
Pollution Control Costs Manual. The
NPS costs of compliance and cost
retrofits on Unit 2 compared to Units 1
and 3. Note that the capital and annual
costs of SCR estimated using the EPA
Control Cost Manual are considerably
lower than those estimated by SRP.
effectiveness are shown in Table 15.
NPS assumed post-SCR NOX emissions
of 0.05 lb/MMBtu. NPS accounts for the
higher retrofit costs associated with Unit
2 by applying a larger retrofit factor
associated with physically difficult
TABLE 15—NPS COSTS OF CONTROLS AND COST EFFECTIVENESS FOR SCR
Total capital cost
Unit 1 .........................................................................................................................
Unit 2 .........................................................................................................................
Unit 3 .........................................................................................................................
EPA calculated the expected increase
in electricity generation costs to
$71,983,100
66,138,162
68,642,323
Total annual cost
Cost effectiveness
(ton)
$12,065,299
14,589,766
11,870,003
$1,059
1,528
1,317
consumers in $/kWh, assuming 85%
capacity in Table 16.
TABLE 16—INCREASE IN ELECTRICITY COSTS FROM NOX CONTROLS AT NGS
LNB + SOFA
(All Units)
kWh
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Unit 1 .......................................................................................................................
Unit 2 .......................................................................................................................
Unit 3 .......................................................................................................................
In addition to the three NOX control
scenarios, EPA considered another SCR
control option that was not addressed
by SRP. Based on EPA’s understanding
of the location of the coal-feed line and
the physical layout of Unit 2, EPA is
requesting comment on the application
of half an SCR to Unit 2. As configured,
the flue gas from Unit 2 is split in half
with each half containing its own
separate hot-side ESP and FGD. Because
the flue gas is already split, and because
the coal-feed line impedes only one side
of the Unit 2 split, SCR may be applied
to half of Unit 2 so that the difficult
retrofit associated with the relocation of
the coal-feed line can be avoided. EPA
estimates that the application of halfSCR on Unit 2 would require a total
capital investment of $106 million, a
total annual cost of $14.5 million, result
in NOX reductions of over 7000 tpy
(based on control to 0.14 lb/MMBtu)
with a cost effectiveness of $2000/ton
and an increased electricity generation
cost of $0.003/kWh.
In the November 2007 BART
Analysis, SRP states that PM emissions
VerDate Nov<24>2008
17:19 Aug 27, 2009
Jkt 217001
B. Factor 5: Degree of Visibility
Improvement
1. FCPP
a. Visibility Modeling Scenarios
APS’s contractor, AECOM, conducted
visibility modeling using CALPUFF 13
13 CALPUFF is the model that is recommended
for use in predicting visibility impact under the
Regional Haze Guidelines. 40 CFR Part 51, App. Y,
III.A.3 (‘‘CALPUFF is the best regulatory modeling
application currently available for predicting a
Frm 00023
Fmt 4702
Sfmt 4702
SCR + LNB + SOFA
(All Units)
kWh
$0.006
0.0003
0.006
$0.006
0.007
0.006
$0.0003
0.0003
0.0003
controlled by hot-side ESPs in
combination with wet scrubbers
effectively limited PM emissions to less
than 0.03 lb/MMBtu and did not
include a BART analysis for further
retrofit controls for PM10. In a letter
dated December 12, 2008, NGS
proposed a BART emission limit for PM
of 0.05 lb/MMBtu. No additional
discussions of modeling or other
analyses for PM control at NGS are
included in this ANPR.
EPA requests comment on the data
provided above to estimate the costs of
compliance for BART controls at NGS.
PO 00000
SCR + LNB + SOFA
(Units 1&3);
LNB + SOFA
(Unit 2)
kWh
based on a number of selected inputs.
APS used its modeling results to
estimate anticipated visibility
improvement from the four different
control technology options at the
mandatory Class I Federal areas within
a 300 km radius.
EPA disagrees with and is requesting
comment on a number of the inputs
APS used for modeling. EPA has
selected alternative inputs that we have
determined are more representative. We
have also modeled the resulting
visibility improvement at the Class I
areas based on our revised inputs. EPA
is specifically requesting comment on
EPA’s and APS’s selection of inputs.
EPA’s modeled results, also using
CALPUFF, are presented below in
Tables 17–21. The modeling scenarios
are:
single source’s contribution to visibility impairment
and is currently the only EPA-approved model for
use in estimating single source pollutant
concentrations resulting from the long range
transport of primary pollutants. [note omitted]’’).
E:\FR\FM\28AUP1.SGM
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A. Baseline Visibility Impact (modeled by
APS and EPA)
B. Wet ESP for PM Control on Units 1–3
(modeled by APS and EPA)
C1. LNB + OFA for NOX on Units 1–5
(modeled by APS)
C2. LNB for NOX on Units 1 and 2 and LNB
+ OFA on Units 3–5 (modeled by EPA)
D. SCR for NOX on Units 3–5 (modeled by
EPA)
E1. SCR + LNB + OFA for NOX on Units 1–
5 (modeled by APS)
E2. SCR for NOX on Units 1–5 (modeled by
EPA)
jlentini on DSKJ8SOYB1PROD with PROPOSALS
APS and EPA modeled baseline and
control scenarios using meteorological
data from 2001–2003. The baseline
scenario uses heat input and pollutant
emission rates based on the 24-hour
average actual emission rate from the
highest emitting day of the
meteorological period. The modeling
scenarios listed above in C1/C2 and
E1/E2 are based on the application of
the same, or similar, control
technologies but are listed as distinct
modeling scenarios because EPA used
different emission inputs than APS.
b. EPA Modifications to Emission Rate
Inputs
The Appendix Y BART Guidelines
state that baseline heat input and
pollutant emission rates should be
based on the 24-hour average actual
emission rate from the highest emitting
day of the meteorological period
modeled. Although the modeling period
for the BART analysis submitted by APS
is 2001–2003, APS used heat input,
NOX, SO2, and PM emission rates from
2002–2006. Based on our review of the
2001–2003 emissions data that APS
reported to the EPA Clean Air Markets
Division (CAMD), we have determined
that the heat input and baseline NOX
emission rates inputs were generally
appropriate, except that several of the
highest emitting days for NOX and heat
input occurred in 2001. Therefore, EPA
revised the highest heat input rate for
Units 1, 3, and 5 based on the 2001–
2003 meteorological period. For NOX
emissions, the highest emitting days for
Units 1,2, 3, and 5 occurred in 2001
(over the 2001–2003 period), therefore,
we also revised the baseline NOX
emission rate for those units. Data from
CAMD for Unit 2 and 4 generally agreed
with emission inputs used by APS. For
SO2 emissions, because the SO2 control
efficiency for Units 4 and 5 recently
increased to 88%, EPA considers it
more appropriate to rely on a more
recent period (2006–2007) for SO2
emissions for Units 4 and 5, rather than
using SO2 data from the 2001–2003
meteorological period.
CALPUFF modeling requires
additional inputs, including SO4,
VerDate Nov<24>2008
17:19 Aug 27, 2009
Jkt 217001
representing condensable inorganic PM
and fine and coarse filterable PM. For
SO4, APS estimated that the
condensable inorganic PM was entirely
represented by sulfuric acid (H2SO4)
formed during the combustion process
(Scenarios A—C), or from the
combustion process together with
reactions on the SCR catalyst (Scenarios
D and E). APS and EPA both relied on
the H2SO4 calculation methodology
provided by the Electric Power Research
Institute (‘‘EPRI’’). 14 The EPRI method
relies on characterization of various
sources and sinks of H2SO4 in the boiler
and downstream components, such as
the air preheater, and particulate matter
(PM) and SO2 control devices. For the
baseline and non-SCR emissions
scenarios (Scenarios A–C), the main
difference between APS’s and EPA’s
calculations for H2SO4 arises from the
assumed loss of H2SO4 in the air
preheater. APS used a penetration
factor 15 of 0.9 whereas EPA used a
penetration factor of 0.49, which is
consistent with the 2008 EPRI
guidelines.
Because CAMD data is not available
for PM, we relied on filterable PM
emissions used in APS’s revised
modeling analysis (Supplemental
submitted November 2008), based on
the maximum of six stack test results
from the 2002–2006 period for each
unit. APS additionally provided the
stack test results in a spreadsheet for
each unit over 2002–2006. Although
APS reported using the worst-case stack
test values in their Supplemental
Modeling Report, the lb/MMBtu PM
values in Table 5–2 do not match the
highest stack test results in the APS’s
spreadsheet. Therefore, EPA revised the
filterable PM values for Units 1–3. We
then applied values from AP–42 that
estimate for a dry bottom boiler with
scrubber (Units 1–3), 71% of filterable
PM is PM10, and 51% of filterable PM
is fine PM10 (i.e., PM2.5), thus 20% of
filterable PM is coarse PM10, i.e., 71%–
51%. For a dry bottom boiler with a
baghouse (Units 4 and 5), AP–42
estimates that 92% of filterable PM is
PM10, and 53% of filterable PM is fine
PM10 (i.e., PM2.5), thus 39% of filterable
PM is coarse PM10, i.e., 92%–53%. APS
also estimated elemental carbon (EC) to
be 3.7% of the PM2.5, based on Table 6
14 Estimating Total Sulfuric Acid Emissions from
Stationary Power Plants—Technical Update,
Electric Power Research Institute (EPRI), Palo Alto,
CA, 2008. EPRI Product ID: 1016384.
15 We use penetration factor as 1-control factor,
such that a penetration factor of 0.9 means 90% of
the sulfuric acid penetrates through the control
equipment.
PO 00000
Frm 00024
Fmt 4702
Sfmt 4702
44323
of a 2002 draft report prepared for
EPA.16
In addition to the estimates for PM
fine described above, EPA additionally
revised the modeling inputs for PM fine
to include emissions of hydrogen
chloride (HCl) and hydrogen fluoride
(HF). AP–42 (1.1 Bituminous and
Subbituminous Coal Combustion)
provides a single emission factor each
for HCl and HF from all coal and boiler
types. APS assumed H2SO4 to be the
only contributor to condensable
inorganic PM, and the NPS raised
concerns about the exclusion of HCl and
HF and recommended these two
compounds be factored into the CPM–
IOR (SO4) modeling input. Method 202
for measuring condensable PM does not
capture HCl and HF, therefore, EPA
added these emissions to PM fine rather
than SO4.
HCl and HF emission factors in AP–
42 (Table 1.1–15) are based on a lb/ton
coal basis (1.2 lbs HCl per ton of coal
and 0.15 lb HF per ton of coal, which
converts to 0.016 lb HCl/mmbtu and
0.007 lb HF/mmbtu using 10496 Btu/lb
coal). Footnote (a) to Table 1.1–15 in
AP–42 states that these factors apply to
both controlled and uncontrolled
sources. The HCl and HF emission
factors refer to a 1985 report on HCl and
HF prepared for the NAPAP
inventory.17 This 1985 report shows
that the uncontrolled and controlled
emission factors for HCl and HF were
considered to be the same only because
wet scrubbers and FGD systems, which
are the only controls used on boilers
that have a significant effect on HCl and
HF removal, were (at the time) used to
control only a small percentage of coal
burned in utility boilers (see footnote (a)
from Tables 3–6 and 3–7 from the 1985
report). Given that 2 units at FCPP use
wet FGD and 3 units use venturi
scrubbers for SO2 control, EPA did not
apply the AP–42 emission factor ‘‘as is’’
to FCPP. Furthermore, given that the
chlorine content of the coal used by
FCPP is much lower than coal from
other parts of the U.S., we scaled the
HCl emission factor (based on 46 sites
from several parts of the country 18) for
subbituminous coal to account for the
low Cl content of FCPP coal compared
to average Cl content of U.S. coal.
16 Battye, W, and Boyer, K. Catalog of Global
Emissi113on Inventories and Emission Inventory
Tools for Black Carbon. EPA Contract No. 68–D–
98–046, 2002.
17 Hydrogen Chloride and Hydrogen Fluoride
Emission Factors for the NAPAP Inventory, EPA–
600/7–85–041, U.S. Environmental Protection
Agency, October 1985.
18 See Reference 1 of Table A–1 from the 1985
EPA report.
E:\FR\FM\28AUP1.SGM
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
From the emission factor of 1.9 lb
HCl/ton, EPA scaled the emission factor
to 0.13 lb HCl/ton coal. Table 3–2 of the
1985 report shows that average Cl
content of coal by coal type ranges from
63–1064 ppm (by weight) with lignite
and eastern bituminous coals
contributing the low and high values,
respectively. Table 3–3 shows that
average Cl content of coal ranges from
20–1900 ppm (by weight), with
Montana coal and Illinois coal
contributing the low and high values,
respectively. The average bituminous
coal Cl content from the values reported
in Table 3–2 is 736 ppm. From chlorine
coal content data collected for the Clean
Air Mercury Rule,19 FCPP coal was
determined to have 50 ppm Cl.
Therefore, we scaled the HCl emission
factor of 1.9 by the Cl content ratio of
FCPP to bituminous US coal (50/736)
yielding an emission factor of 0.13 lb
HCl/ton coal.
For the fluorine content of coal,
Tables 3–2 and 3–3 from the 1985 report
show that average F content ranges from
28–141 ppm depending on coal type
(lignite and eastern bituminous,
respectively), and from 45–124
depending on the region in the U.S.
(Northern Great Plains and Gulf
Province, respectively). Based on trace
element data reported in the U.S. Coal
Quality Database,20 coal burned by
FCPP (from the Navajo Mine) has an
average F content of 80 ppm.21 We
scaled the HF emission factor of 0.23 lb/
ton by the F content ratio of FCPP coal
to total US (80/102), resulting in an
FCPP emission factor for HF of 0.18 lb
HF/ton coal.
Using the scaled emission factors of
0.13 lb HCl/ton coal and 0.18 lb HF/ton
coal, EPA accounted for additional loss
of HCl and HF from the use of flue gas
desulfurization (FGD) or venturi
scrubbers. Page 19 of the 1985 EPA
report describes that wet scrubbers are
expected to provide approximately 80%
control of HCl and HF from coal-fired
utility boilers, and removal of HCl from
flue gases with FGD systems is very
high (with sodium bicarbonate systems
providing 95% control), but little data
are available to quantify the HF removal
efficiency of FGD systems. We assumed
the FGD and venturi scrubbers provided
80% control of HCl and HF. Thus, our
HCl and HF emission factors for FCPP
are 0.015 lb HCl/MMBtu and 0.0020 lb
HF/MMBtu. These HCl and HF
emissions were applied as inputs to PM
fine for all modeling scenarios.
TABLE 17—APS AND EPA BASELINE EMISSION RATES
[Scenario A]
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
APS Modeling Inputs for Baseline Case (all units in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
464.17
3.35
1,841.37
8.35
30.74
12.52
1.18
615.12
3.78
1,567.66
9.41
47.87
19.49
1.84
995.26
4.65
1,926.23
11.58
52.90
21.54
2.03
2,026.10
1.03
5,015.98
32.00
100.93
77.12
3.88
2,130.76
1.03
4,444.04
32.00
48.00
36.67
1.84
2,026.10
0.51
5,015.98
32.00
128.93
77.12
3.88
2,131.85
0.51
4,508.56
32.20
76.20
36.69
1.85
EPA Modeling Inputs for Baseline Case (all units in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
522.54
2.06
2,020.14
9.40
46.29
15.50
1.46
615.12
2.06
1,599.47
9.41
65.99
23.52
2.22
1,042.09
2.65
1,970.80
12.13
70.18
24.26
2.29
TABLE 18—APS AND EPA EMISSION FOR PM CONTROL ON UNITS 1–3
[Scenario B]
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
APS Modeling Inputs for Baseline Case (all units in lb/hr)
jlentini on DSKJ8SOYB1PROD with PROPOSALS
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
464.17
0.34
1,841.37
8.35
15.34
11.72
0.59
615.12
0.38
1,567.66
9.41
20.39
15.58
0.78
995.26
0.47
1,926.23
11.58
22.54
17.22
0.87
2,026.10
1.03
5,015.98
32.00
100.93
77.12
3.88
2,130.76
1.03
4,444.04
32.00
48.00
36.67
1.84
2,026.10
0.51
5,015.98
32.00
2,131.85
0.51
4,508.56
32.20
EPA Modeling Inputs for Baseline Case (all units in lb/hr)
SO2
SO4
NOX
SOA
........................................................
........................................................
........................................................
.......................................................
522.54
0.21
2,020.14
9.40
19 Electric Utility Mercury Information Collection
Request (OMB Control Number 2060–0396):
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Jkt 217001
615.12
0.21
1,599.47
9.41
1,042.09
0.27
1,970.80
12.13
https://www.epa.gov/ttn/atw/combust/utiltox/
utoxpg.html#DA2.
PO 00000
Frm 00025
Fmt 4702
Sfmt 4702
20 https://energy.er.usgs.gov/coalqual.htm#submit.
21 Based
E:\FR\FM\28AUP1.SGM
on samples D176206 and D202211.
28AUP1
Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
44325
TABLE 18—APS AND EPA EMISSION FOR PM CONTROL ON UNITS 1–3—Continued
[Scenario B]
Unit 1
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
Unit 2
25.49
13.19
0.66
Unit 3
28.63
15.58
0.78
Unit 4
34.21
18.03
0.91
Unit 5
128.93
77.12
3.88
76.20
36.69
1.85
TABLE 19—APS AND EPA EMISSION FOR PM CONTROL ON UNITS 1–3
[Scenario C]
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
APS Modeling Inputs for LNB + OFA (Scenario C1) (in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
464.17
3.35
1,010.91
8.35
30.74
12.52
1.18
615.12
3.78
1,051.90
9.41
47.87
19.49
1.84
995.26
4.65
1,078.69
11.58
52.90
21.54
2.03
2,026.10
1.03
3,561.35
32.00
100.93
77.12
3.88
2,130.76
1.03
3,155.27
32.00
48.00
36.67
1.84
2,026.10
0.51
3,561.35
32.00
128.93
77.12
3.88
2,131.85
0.51
3,201.08
32.20
76.20
36.69
1.85
EPA Modeling Inputs for LNB/OFA (Scenario C2) (in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
522.54
2.06
1,109.06
9.40
46.29
15.50
1.46
EPA also disagrees with APS’s
evaluation of sulfuric acid emissions.
Sulfuric acid emissions are estimated to
increase as a result of operating an SCR
due to additional oxidation of SO2 to
SO3 on the SCR catalyst. APS used a 1%
conversion rate from the SCR catalyst.
Yet a Prevention of Significant
Deterioration (PSD) permit issued June
615.12
2.06
1,073.25
9.41
65.99
23.52
2.22
1,042.09
2.65
1,103.65
12.13
70.18
24.26
2.29
2, 2009, to Coronado Generating Station
by the ADEQ 22 required the use of an
ultra-low conversion catalyst (0.5%
conversion) as Best Available Control
Technology (BACT). EPA has
determined that APS could also use an
ultra-low conversion catalyst. Therefore,
in our calculation of H2SO4 emissions
from the addition of the SCR, we
accounted for a 0.5% conversion of SO2
to SO3.
For emissions of ammonia (NH3)
resulting from SCR, EPA followed the
calculation methodology APS used in
its supplemental modeling analysis for
FCPP (dated November 2008).
TABLE 20—EPA EMISSIONS FOR SCR ON UNITS 3–5
[Scenario D]
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
EPA Modeling Inputs for SCR on Units 3–5, No Control Units 1 and 2 (in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
522.54
2.06
2,020.14
9.40
46.29
15.50
1.46
615.12
2.06
1,599.47
9.41
65.99
23.52
2.22
1,042.09
12.52
472.99
12.13
70.18
24.26
2.29
2,026.10
2.52
1,203.84
32.00
128.93
77.12
3.88
2,131.85
2.54
1,082.05
32.20
76.20
36.69
1.85
TABLE 21—APS AND EPA EMISSIONS FOR SCR ON UNITS 1–5
jlentini on DSKJ8SOYB1PROD with PROPOSALS
[Scenario E]
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
APS Modeling Inputs for SCR + LNB + OFA (Scenario E1) (in lb/hr)
SO2 ........................................................
464.17
615.12
995.26
2,026.10
22 See https://www.azdeq.gov/environ/air/permits/
download/pastmonth.pdf.
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TABLE 21—APS AND EPA EMISSIONS FOR SCR ON UNITS 1–5—Continued
[Scenario E]
Unit 1
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
Unit 2
30.71
147.31
8.35
30.74
12.52
1.18
Unit 3
34.61
141.09
9.41
47.87
19.49
1.84
Unit 4
42.61
192.62
11.58
52.90
21.54
2.03
Unit 5
9.53
601.92
32.00
100.93
77.12
3.88
9.58
533.29
32.00
48.00
36.67
1.84
2,026.10
2.52
1,203.84
32.00
128.93
77.12
3.88
2,131.85
2.54
1,082.05
32.20
76.20
36.69
1.85
EPA Modeling Inputs for SCR (Scenario E2) (in lb/hr)
SO2 ........................................................
SO4 ........................................................
NOX ........................................................
SOA .......................................................
PM fine ...................................................
PM coarse ..............................................
EC ..........................................................
522.54
9.70
484.83
9.40
46.29
15.50
1.46
c. Ammonia Background
In addition to the different CALPUFF
emission rates described above, EPA
additionally revised some postprocessor settings from those originally
used by APS. The USFS indicated that
the ammonia background
concentrations modeled by APS were
underestimated compared to observed
concentrations.23 EPA agrees and has
used a similar back-calculation
methodology to the one referenced by
the USFS for estimating ammonia
background values.
Ammonia is important because it is a
precursor to particulate ammonium
sulfate and ammonium nitrate which
degrades visibility. It is present in the
air from both natural and anthropogenic
sources. The latter may include
ammonia slip from the use of ammonia
in SCR and SNCR technologies to
control NOX emissions.
In our modeling input for ammonia,
EPA assumed that the remaining
ammonia in the flue gas following SCR
reacts to form ammonium sulfate or
ammonium bisulfate before exiting the
stack. This particulate ammonium is
represented in the modeling as sulfate
(SO4) emissions. Thus, EPA addressed
ammonia solely as a background
concentration.
Very little monitored ammonia data is
available. The default recommended
615.12
9.71
383.87
9.41
65.99
23.52
2.22
1,042.09
12.52
472.99
12.13
70.18
24.26
2.29
ammonia background value for arid
regions is 1 ppb, as described in the
IWAQM Phase 2 document.24
Alternative levels may be used if
supported by data. To address concerns
expressed by APS in their January 2008
BART modeling protocol (p. 4–1) that
CALPUFF over-predicts ammonium
nitrate in winter, EPA estimated
ammonia background for all Class I
areas (except Mesa Verde National Park,
see below) by back-calculating from
measurements at monitors in the areas
run by the IMPROVE program.25
IMPROVE monitors do not measure
ammonia directly; rather, they measure
particulate sulfate and nitrate. In the
atmosphere, particulate sulfate and
nitrate are essentially all in the form of
ammonium sulfate and ammonium
nitrate, respectively. Applying their
chemical formulas, EPA estimated a
lower bound on the amount of ammonia
that must have been present to combine
with gaseous sulfate and nitrate in order
to form the measured particulate sulfate
and nitrate.
EPA performed this back-calculation
using 2005–2007 data for all 14
IMPROVE monitors at Class I areas in
the modeling domains. For each
monitor, EPA used the maximum
calculated value for each calendar
month to represent the month. Then, for
each month, EPA averaged over all
monitors, resulting in a single value for
each of the 12 calendar months. For the
months of May and July, this backcalculation resulted in a somewhat
lower value than the IWAQM default of
1 ppb which was also used by APS; for
these months EPA used 1 ppb. The
back-calculation results ranged from 0.7
ppb in the winter to 1 ppb in summer,
except the value of 1.3 ppb in June.
Ammonia background concentrations
for Mesa Verde National Park were
derived from measured ammonia
concentrations in the Four Corners area,
as described in Sather et al., (2008).26
Monitored data was available within
park, but because particulate formation
happens within a pollutant plume as it
travels, rather than instantaneously at
the Class I area, EPA also examined data
at locations outside the park itself.
Monitored 3-week average ammonia at
the Substation site, some 30 miles south
of Mesa Verde, were as high as 3.5 ppb,
though generally levels were under 1.5
ppb. Maximum values in Mesa Verde
were 0.6 ppb, whereas other sites’
maxima ranged from 1 to 3 ppb, but
generally values were less than 2 ppb.
EPA used values estimated from Figure
5 of Sather et al., (2008), in the midrange of the various stations plotted.
The results ranged from 1.0 ppb in
winter to 1.5 ppb in summer. See Table
22.
jlentini on DSKJ8SOYB1PROD with PROPOSALS
TABLE 22—AMMONIA BACKGROUND CONCENTRATION IN PPB (POSTUTIL PARAMETER BCKNH3) FOR FCPP
Jan
IWAQM default .................................................................
23 Letter from Rick Cables (Forest Service R2
Regional Forester) and Corbin Newman (Forest
Service R3 Regional Forester) to Deborah Jordan
(EPA Region 9 Air Division Director) dated March
17, 2009.
VerDate Nov<24>2008
17:19 Aug 27, 2009
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Feb
Mar
Apr
May
Jun
1.0
1.0
1.0
1.0
1.0
1.0
24 Interagency Workgroup On Air Quality
Modeling (IWAQM) Phase 2 Summary Report And
Recommendations For Modeling Long Range
Transport Impacts (EPA–454/R–98–019), EPA
OAQPS, December 1998, https://www.epa.gov/
scram001/7thconf/calpuff/phase2.pdf.
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Fmt 4702
Sfmt 4702
Jul
1.0
Aug
Sep
Oct
Nov
Dec
1.0
1.0
1.0
1.0
1.0
25 https://vista.cira.colostate.edu/improve/.
26 Mark E. Sather et al., 2008. ‘‘Baseline ambient
gaseous ammonia concentrations in the Four
Corners area and eastern Oklahoma, USA’’. Journal
of Environmental Monitoring, 2008, 10, 1319–1325,
DOI: 10.1039/b807984f.
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TABLE 22—AMMONIA BACKGROUND CONCENTRATION IN PPB (POSTUTIL PARAMETER BCKNH3) FOR FCPP—Continued
Jan
APS values .......................................................................
EPA values .......................................................................
EPA values for Mesa Verde ............................................
d. Natural Background
The BART determination guidelines
recommend that impacts of sources
should be estimated in deciviews
relative to natural background.
CALPOST, a CALPUFF post-processor,
uses background concentrations of
Feb
Mar
Apr
May
Jun
0.2
0.8
1.0
0.2
0.7
1.0
0.5
0.7
1.3
0.5
1.0
1.3
1.0
1.0
1.3
1.0
1.3
1.3
various pollutants to calculate the
natural background visibility impact.
EPA used background concentrations
from Table 2–1 of ‘‘Guidance for
Estimating Natural Visibility Conditions
Under the Regional Haze Rule.’’ 27
Although the concentration for each
Jul
1.0
1.0
1.5
Aug
Sep
Oct
Nov
Dec
1.0
1.0
1.5
1.0
1.0
1.5
0.5
1.0
1.5
0.5
1.0
1.3
0.2
0.9
1.0
pollutant is a single value for the year,
this method allows for monthly
variation in its visibility impact, which
changes with relative humidity. The
resulting deciviews differ by roughly
1% from those resulting from the
method originally used by APS.
TABLE 23—NATURAL BACKGROUND CONCENTRATIONS FOR FCPP AND NGS
Concentration
(μg/m3)
CALPOST parameter
Pollutant
BKSO4 ...................................................
BKNO3 ...................................................
BKPMC ...................................................
BKOC .....................................................
BKSOIL ..................................................
BKEC ......................................................
ammonium sulfate ..................................................................................................
ammonium nitrate ...................................................................................................
coarse particulates ..................................................................................................
organic carbon ........................................................................................................
soil ...........................................................................................................................
elemental carbon ....................................................................................................
e. Visibility Modeling Results
To assess results from the CALPUFF
model and post-processing steps, EPA
used a least-squares regression analysis
of all visibility modeling output from
the 2001–2003 modeling period to
determine the percent improvement in
visibility (measured in deciviews)
compared to the baseline resulting from
the application of control technologies.
Table 24 shows EPA’s modeled
predicted visibility improvements at the
16 Class I areas within a 300 km radius
of FCPP.
APS presented visibility improvement
by comparing the 98th percentile (8th
highest) of the daily maximum deciview
(dv) values from CALPUFF per Class I
area, averaged over 2001–2003. As
outlined in the 1999 Regional Haze rule
(64 FR 35725, July 1, 1999), a one
deciview change in haziness is a small
0.12
0.10
3.00
0.47
0.50
0.02
but noticeable change in haziness under
most circumstances when viewing
scenes in a Class I area. Table 25
presents the visibility impacts of the
98th percentile of daily maxima for each
Class I area for each year, averaged over
2001–2003, determined for FCPP by
APS. Table 26 presents the visibility
impacts of the 98th percentile of daily
maxima from 2001–2003 for each Class
I area determined by EPA.28
TABLE 24—PERCENT IMPROVEMENT IN DECIVIEW IMPACTS FROM EPA MODELING AT EACH CLASS I AREA FROM PM AND
NOX CONTROLS AT FCPP
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Scenario B
(Wet ESP)
(%)
Scenario C2
(LNB)
(%)
Scenario D
(SCR 3–5)
(%)
Scenario E2
(SCR 1–5)
(%)
0.4
0.5
0.3
0.4
0.3
0.4
0.4
0.4
0.4
0.6
0.5
0.4
0.6
0.3
0.5
0.5
17
20
22
15
17
19
24
24
25
14
21
20
18
24
22
22
31
37
39
28
30
33
44
43
43
27
39
35
32
42
50
40
49
52
55
45
46
50
42
42
59
42
53
51
47
58
55
55
Arches ..............................................................................................................................
Bandolier ..........................................................................................................................
Black Canyon ...................................................................................................................
Canyonlands ....................................................................................................................
Capitol Reef .....................................................................................................................
Grand Canyon .................................................................................................................
Great Sand Dunes ...........................................................................................................
La Garita ..........................................................................................................................
Maroon Bells ....................................................................................................................
Mesa Verde .....................................................................................................................
Pecos ...............................................................................................................................
Petrified Forest ................................................................................................................
San Pedro ........................................................................................................................
West Elk ...........................................................................................................................
Weminuche ......................................................................................................................
Wheeler Peak ..................................................................................................................
27 U.S. Environmental Protection Agency, EPA–
454/B–03–005, September 2003, on web page
https://www.epa.gov/ttn/oarpg/t1pgm.html, with
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Jkt 217001
direct link https://www.epa.gov/ttn/oarpg/t1/
memoranda/rh_envcurhr_gd.pdf.
28 EPA did not average the 98th percentiles from
each year as did APS, rather EPA used the 98th
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Sfmt 4702
percentile from all three years taken together. This
does not significantly impact the overall results.
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TABLE 25—IMPACTS OF FCPP ON VISIBILITY (98TH PERCENTILE OF DAILY MAXIMUM DV) AT SIXTEEN CLASS I AREAS AS
MODELED BY APS
Visibility impact (dv) after applying:
Baseline
Wet ESP
(B)
LNB (C1)
SCR (E1)
Arches ............................................................................................................................
Bandolier ........................................................................................................................
Black Canyon .................................................................................................................
Canyonlands ..................................................................................................................
Capitol Reef ...................................................................................................................
Grand Canyon ...............................................................................................................
Great Sand Dunes .........................................................................................................
La Garita ........................................................................................................................
Maroon Bells ..................................................................................................................
Mesa Verde ...................................................................................................................
Pecos .............................................................................................................................
Petrified Forest ..............................................................................................................
San Pedro ......................................................................................................................
West Elk .........................................................................................................................
Weminuche ....................................................................................................................
Wheeler Peak ................................................................................................................
1.98
1.71
1.44
2.25
1.74
1.07
1.02
1.36
1
3.17
1.55
1.21
2.21
1.22
1.90
1.20
1.96
1.70
1.43
2.23
1.73
1.07
1.02
1.36
0.81
3.14
1.54
1.20
2.18
1.21
1.68
1.19
1.74
1.57
1.21
2.06
1.53
0.95
1.02
1.08
0.66
3.01
1.31
1.05
2.04
1.03
1.66
0.97
1.23
1.12
0.75
1.67
1.15
0.66
0.62
0.58
0.35
2.73
0.88
0.68
1.51
0.56
0.94
0.64
Sum of Class I areas ..............................................................................................
26.03
25.45
22.89
16.07
TABLE 26—IMPACTS OF FCPP ON VISIBILITY (98TH PERCENTILE DV) ON SIXTEEN CLASS I AREAS AS MODELED BY EPA
Visibility Impact (dv) after applying:
Baseline
Wet ESP
LNB (C2)
SCR(D)
SCR (E2)
4.03
2.91
2.36
4.89
3.21
1.63
1.21
1.71
1.04
6.48
2.11
1.51
3.81
1.86
2.79
1.50
4.02
2.90
2.36
4.87
3.20
1.63
1.20
1.71
1.04
6.45
2.10
1.51
3.80
1.86
2.77
1.50
3.24
2.25
1.89
4.21
2.44
1.31
0.91
1.28
0.77
5.47
1.65
1.14
3.13
1.41
2.16
1.17
2.55
1.81
1.44
3.76
1.87
0.96
0.67
1.05
0.57
4.90
1.34
0.97
2.53
1.06
1.58
0.93
1.83
1.38
1.01
2.66
1.48
0.81
0.54
0.73
0.43
3.89
1.06
0.81
2.01
0.75
1.17
0.74
Sum of Class I areas ........................................................................
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Arches ......................................................................................................
Bandolier ..................................................................................................
Black Canyon ...........................................................................................
Canyonlands ............................................................................................
Capitol Reef .............................................................................................
Grand Canyon .........................................................................................
Great Sand Dunes ...................................................................................
La Garita ..................................................................................................
Maroon Bells ............................................................................................
Mesa Verde .............................................................................................
Pecos .......................................................................................................
Petrified Forest ........................................................................................
San Pedro ................................................................................................
West Elk ...................................................................................................
Weminuche ..............................................................................................
Wheeler Peak ..........................................................................................
43.05
42.90
34.43
27.99
21.29
EPA used higher values for ammonia
background concentration than APS,
which resulted in higher modeled
visibility impacts of FCPP and larger
percent visibility improvement of
controls compared to APS modeling.
Although the different inputs used by
EPA changed the absolute deciview
values, it did not change the relative
ranking of the controls in terms of
deciview benefit. The different natural
background concentrations EPA used
compared to APS did not significantly
change the visibility modeling results.
In their March 16, 2009 letter to EPA,
the USFS discusses the need for a more
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Jkt 217001
comprehensive characterization of a
facility’s impacts, particularly, for
facilities like FCPP and NGS that affect
visibility at multiple Class I areas. To
account for cumulative impacts, the
USFS suggested accounting for the total
dv impact by summing across all days
for all Class I areas. EPA agrees that
alternative visibility metrics may assist
in evaluating the visibility improvement
associated with various control options
at FCPP and NGS, including taking an
average of the 98th percentile of all
Class I areas or summing over all days
for all Class I areas. Table 27 presents
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Fmt 4702
Sfmt 4702
an alternative visibility metric that takes
into account the size of the area over
which controls provide visibility
benefits. The 98th percentile for each
Class I area is multiplied by its land area
in km2 and then summed. EPA is
requesting comment on this, and other
alternative visibility metrics. These
metrics can then be used as an adjunct
to cost effectiveness expressed in $/ton
to assist EPA in evaluating the
effectiveness of controls at FCPP and
NGS on visibility improvement, as
expressed in terms of dollar per
deciview ($/dv) or $/dv-km2.
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 27—ALTERNATIVE VISIBILITY METRIC
Visibility Impact (dv-km2) after applying:
A (Baseline)
B (Wet ESP)
C2 (LNB)
D (SCR 3–5)
E2 (SCR 1–5)
Arches ..................................................................................
Bandolier ..............................................................................
Black Canyon .......................................................................
Canyon-lands .......................................................................
Capitol Reef .........................................................................
Grand Canyon ......................................................................
Great Sand Dunes ...............................................................
La Garita ..............................................................................
Maroon Bells ........................................................................
Mesa Verde ..........................................................................
Pecos ...................................................................................
Petrified Forest .....................................................................
San Pedro ............................................................................
West Elk ...............................................................................
Weminuche ..........................................................................
Wheeler Peak ......................................................................
1,014
249
121
4,991
2,433
6,443
119
699
571
1,112
1,574
469
505
2,996
1,525
121
1,012
246
121
4,964
2,427
6,416
119
697
569
1,109
1,570
467
503
2,988
1,522
121
816
193
89
4,419
1,849
4,870
88
518
415
939
1,225
374
430
2,221
1,170
92
615
156
76
3,961
1,405
3,714
69
394
315
818
974
322
347
1,614
860
74
461
119
53
2,794
1,113
3,174
56
295
238
666
780
259
265
1,207
636
59
Sum over all areas .......................................................
24,943
24,852
19,708
15,716
12,175
2. NGS
a. Visibility Modeling Scenarios
SRP conducted visibility modeling for
NGS using CALPUFF based on
estimated emission rates of various
pollutants as inputs for the model. EPA
conducted its own CALPUFF modeling
using inputs that we determined were
more representative.
EPA then modeled anticipated
visibility improvements for four
different options for installed control
technologies. NGS’s and EPA’s
modeling inputs are set forth in Tables
28–32 below. The modeling scenarios
are:
A. Baseline Visibility Impact (modeled by
NGS and EPA),
B. LNB + SOFA on Units 1–3 (modeled by
NGS and EPA),
C. SCR + LNB + SOFA on Units 1 and 3,
LNB + SOFA on Unit 2 (modeled by NGS and
EPA),
D. SCR + LNB + SOFA on Units 1 and 3,
Half-SCR + LNB + SOFA on Unit 2 (modeled
by EPA),
E. SCR on Units 1–3 (modeled by NGS and
EPA).
Scenarios C and E modeled by SRP
and EPA were not listed as discrete
modeling scenarios as they were for
FCPP because the emission inputs for
NGS from SRP and EPA, though
different for PM fine and SO4, are more
similar to each other in terms of NOX
control than for FCPP. For Scenario E,
SRP assumed NOX emissions to be 0.08
lb/MMBtu, whereas EPA assumed 0.06
lb/MMBtu.
b. EPA Modifications to Emission Rate
Inputs
were from the assumed loss of H2SO4 in
the air preheater. SRP used a
penetration factor of 0.9 whereas EPA
used a penetration factor of 0.49, which
is consistent with the 2008 EPRI
guidelines. Similarly for H2SO4
emissions resulting from the SCR
scenarios, EPA used a 0.5% SO2 to SO3
conversion rate based on the application
of an ultra-low oxidation catalyst.
For all modeling scenarios, EPA
included HCl and HF emissions as PM
fine modeling inputs and scaled them in
a similar manner described for FCPP.
For HCl, EPA used a scaled emission
factor of 0.0025 lb/MMBtu, and for HF,
EPA used a scaled emission factor of
0.00086 lb/MMBtu.
Similar to FCPP, for the baseline and
non-SCR emissions scenarios (Scenarios
A and B), the main difference between
SRP and EPA calculations for H2SO4
TABLE 28—SRP AND EPA BASELINE EMISSION RATES (SCENARIO A)
Unit 1
Unit 2
Unit 3
SRP Baseline Modeling Inputs (in lb/hr)
jlentini on DSKJ8SOYB1PROD with PROPOSALS
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
487.75
4.18
4,271.42
35.18
63.86
86.89
2.45
526.92
4.48
4,207.50
37.69
55.27
75.20
2.12
576.17
4.36
4,181.67
36.63
79.28
107.87
3.05
487.75
3.62
4,271.42
35.18
93.41
86.89
526.92
3.87
4,207.50
37.69
86.93
75.20
576.17
3.76
4,181.67
36.63
110.05
107.87
EPA Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 28—SRP AND EPA BASELINE EMISSION RATES (SCENARIO A)—Continued
Unit 1
EC ................................................................................................................................................
Unit 2
2.45
Unit 3
2.12
3.05
TABLE 29—SRP AND EPA EMISSIONS FOR LNB + SOFA (SCENARIO B)
Unit 1
Unit 2
Unit 3
SRP Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
487.75
4.18
2,110.74
35.18
63.86
86.89
2.45
526.92
4.48
2,261.63
37.69
55.27
75.20
2.12
576.17
4.36
2,197.78
36.63
79.28
107.87
3.05
487.75
3.62
2,110.74
35.18
93.41
86.89
2.45
526.92
3.87
2,261.63
37.69
86.93
75.20
2.12
576.17
3.76
2,197.78
36.63
110.05
107.87
3.05
EPA Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
TABLE 30—SRP AND EPA EMISSIONS FOR SCR + LNB + SOFA ON UNITS 1 AND 3, LNB + SOFA ON UNIT 2
(SCENARIO C)
Unit 1
Unit 2
Unit 3
SRP Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
487.75
64.01
703.58
35.18
63.86
86.89
2.45
526.92
4.48
2,261.63
37.69
55.27
75.20
2.12
576.17
66.65
732.59
36.63
79.28
107.87
3.05
487.75
19.90
615.63
35.18
93.41
86.89
2.45
526.92
3.87
2,261.63
37.69
86.93
75.20
2.12
576.17
20.72
641.02
36.63
110.05
107.87
3.05
EPA Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
TABLE 31—EPA EMISSIONS FOR SCR + LNB + SOFA ON UNITS 1 AND 3, HALF-SCR + LNB + SOFA ON UNIT 2
(SCENARIO D)
Unit 1
Unit 2
Unit 3
jlentini on DSKJ8SOYB1PROD with PROPOSALS
EPA Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
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487.75
19.90
615.63
35.18
93.41
86.89
2.45
E:\FR\FM\28AUP1.SGM
28AUP1
526.92
12.60
1,696.22
37.69
86.93
75.20
2.12
576.17
20.72
641.02
36.63
110.05
107.87
3.05
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 32—SRP AND EPA EMISSIONS FOR SCR + LNB + SOFA ON UNITS 1—3 (SCENARIO E)
Unit 1
Unit 2
Unit 3
SRP Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
487.75
64.01
703.58
35.18
63.86
86.89
2.45
526.92
68.59
753.88
37.69
55.27
75.20
2.12
576.17
66.65
732.59
36.63
79.28
107.87
3.05
487.75
19.90
615.63
35.18
93.41
86.89
2.45
526.92
21.32
659.64
37.69
86.93
75.20
2.12
576.17
20.72
641.02
36.63
110.05
107.87
3.05
EPA Baseline Modeling Inputs (in lb/hr)
SO2 ..............................................................................................................................................
SO4 ..............................................................................................................................................
NOX ..............................................................................................................................................
SOA .............................................................................................................................................
PM fine .........................................................................................................................................
PM coarse ....................................................................................................................................
EC ................................................................................................................................................
c. Ammonia Background and Natural
Background
For ammonia background values at
the Class I areas impacted by NGS, EPA
used the same ammonia values listed in
Table 22 above and the same natural
background values listed in Table 23.
See discussion of ammonia backcalculation methodologies and changes
to natural background conditions
described in Section II.B.1.
d. Visibility Modeling Results
To assess results from the CALPUFF
model and post-processing steps, EPA
used a least-squares regression analysis
of all visibility modeling output from
the 2001–2003 modeling period to
determine the percent improvement in
visibility compared to the baseline
resulting from the application of control
technologies. Table 33 shows EPA’s
modeled predicted visibility
improvements at the 11 Class I areas
within a 300 km radius of NGS.
SRP presented visibility improvement
by comparing the 98th percentile (8th
highest) of daily maximum deciview
(dv) values from CALPUFF per Class I
area, averaged over 2001–2003. Table 34
presents the visibility impacts of the
98th percentile of daily maxima for each
Class I area for each year, averaged over
2001–2003, determined for NGS by SRP.
Table 35 presents the visibility
impacts of the 98th percentile of daily
maxima over 2001–2003 for each Class
I area determined by EPA. Table 36
presents the alternative visibility metric
determined by EPA for each Class I area.
TABLE 33—PERCENT IMPROVEMENT IN DECIVIEW IMPACTS FROM EPA MODELING AT EACH CLASS I AREA FROM NOX
CONTROLS AT NGS
Scenario B
(LNB)
(percent)
Arches ..............................................................................................................
Bryce Canyon ..................................................................................................
Canyonlands ....................................................................................................
Capitol Reef .....................................................................................................
Grand Canyon .................................................................................................
Mazatzal ...........................................................................................................
Mesa Verde .....................................................................................................
Petrified Forest ................................................................................................
Pine Mountain ..................................................................................................
Sycamore Canyon ...........................................................................................
Zion ..................................................................................................................
Scenario C
(SCR: 1&3)
(percent)
36
26
32
25
22
38
40
36
38
36
31
Scenario D
(1⁄2 SCR 2)
(percent)
60
47
56
48
43
60
63
60
59
59
54
Scenario E
(SCR: 1–3)
(percent)
65
53
62
53
48
65
68
65
64
64
60
74
63
71
63
58
72
76
74
71
72
69
TABLE 34—VISIBILITY IMPACTS (98TH PERCENTILE DV) OF NGS ON ELEVEN CLASS I AREAS AS MODELED BY SRP
Visibility Impact (dv) after applying:
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Baseline
LNB (B)
Arches ..............................................................................................................
Bryce Canyon ..................................................................................................
Canyonlands ....................................................................................................
Capitol Reef .....................................................................................................
Grand Canyon .................................................................................................
Mazatzal ...........................................................................................................
Mesa Verde .....................................................................................................
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2.00
2.47
2.68
2.56
0.71
1.42
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1.51
1.58
1.96
2.31
2.29
0.47
1.04
28AUP1
SCR (C)
1.19
1.36
1.53
2.06
2.25
0.41
0.77
SCR (E)
0.99
1.23
1.35
1.89
2.29
0.38
0.58
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 34—VISIBILITY IMPACTS (98TH PERCENTILE DV) OF NGS ON ELEVEN CLASS I AREAS AS MODELED BY SRP—
Continued
Visibility Impact (dv) after applying:
Baseline
LNB (B)
SCR (C)
SCR (E)
Petrified Forest ................................................................................................
Pine Mountain ..................................................................................................
Sycamore Canyon ...........................................................................................
Zion ..................................................................................................................
1.52
0.66
1.31
1.83
1.14
0.46
0.92
1.47
0.92
0.38
0.78
1.26
0.76
0.34
0.63
1.10
Sum of Class I areas ................................................................................
19.29
15.15
12.88
11.54
TABLE 35—VISIBILITY IMPACTS (98TH PERCENTILE DV) OF NGS ON ELEVEN CLASS I AREAS AS MODELED BY EPA
Visibility Impact (dv) after applying:
Baseline
LNB (B)
SCR (C)
SCR (D)
SCR (E)
Arches ..................................................................................
Bryce Canyon ......................................................................
Canyonlands ........................................................................
Capitol Reef .........................................................................
Grand Canyon ......................................................................
Mazatzal ...............................................................................
Mesa Verde ..........................................................................
Petrified Forest .....................................................................
Pine Mountain ......................................................................
Sycamore Canyon ...............................................................
Zion ......................................................................................
3.25
3.66
4.37
5.48
5.41
1.16
2.24
2.62
1.08
1.96
3.73
2.08
2.44
2.98
4.08
4.35
0.73
1.33
1.54
0.64
1.28
2.65
1.33
1.57
1.90
2.97
3.34
0.48
0.78
1.00
0.42
0.80
1.65
1.16
1.39
1.65
2.71
3.06
0.45
0.67
0.86
0.38
0.71
1.44
0.89
1.10
1.25
2.04
2.46
0.37
0.52
0.66
0.32
0.59
1.05
Sum of Class I areas ....................................................
34.95
24.10
16.25
14.48
11.23
TABLE 36—ALTERNATIVE VISIBILITY METRIC
Visibility Impact (dv-km2) after applying:
A (Baseline)
B (LNB)
C (SCR: 1&3)
D (1⁄2 SCR 2)
E (SCR: 1–3)
Arches ..................................................................................
Bryce Canyon ......................................................................
Canyonlands ........................................................................
Capitol Reef .........................................................................
Grand Canyon ......................................................................
Mazatzal ...............................................................................
Mesa Verde ..........................................................................
Petrified Forest .....................................................................
Pine Mountain ......................................................................
Sycamore Canyon ...............................................................
Zion ......................................................................................
812
495
4,649
4,184
21,399
978
383
847
72
390
1,574
514
324
3,071
3,127
17,219
618
226
515
44
235
1,104
336
212
2,022
2,233
13,157
410
135
313
28
162
739
293
187
1,741
2,031
12,033
367
115
270
25
144
649
223
147
1,320
1,566
9,698
297
87
217
22
120
494
Sum over all areas .......................................................
24,943
19,708
19,708
15,716
19,708
C. Factor 2: Energy and Non-Air Quality
Impacts
jlentini on DSKJ8SOYB1PROD with PROPOSALS
1. FCPP
The application of LNB and LNB +
OFA to control NOX by staging
combustion to reduce boiler
temperatures will result in reduced NOX
formation as well as reduced
combustion efficiency. The reduced
combustion temperatures thus result in
increased emissions of carbon monoxide
(CO), volatile organic compounds
(VOCs), and increased unburned carbon
in the fly ash, known as loss of ignition
(LOI). Increases in CO, and potential
increases in VOC, from LNB or LNB +
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OFA, may trigger the Prevention of
Significant Deterioration (PSD)
permitting requirements, including the
application of Best Available Control
Technology (BACT) if the emission
increases exceed the 100 tpy CO and 40
tpy VOC significance thresholds.
Increased LOI in fly ash may reduce the
desirability of the fly ash for sale and
reuse.
Emissions of sulfuric acid (H2SO4)
from coal fired power plants result from
the conversion of sulfur in the coal into
SO2 and further oxidation to SO3 during
the combustion process in the boiler.
SO3 can then combine with moisture
(H2O) in the flue gas to form H2SO4.
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Fmt 4702
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Fuels high in vanadium can catalyze
SO2 to SO3 at higher rates than low
vanadium fuels and result in higher
H2SO4 emissions. The use of SCR
catalysts, in particular, SCR catalysts
that use vanadium, can result in
increased emissions of H2SO4.
Emissions increases in H2SO4 at existing
major stationary sources as a result of
the application of SCR for NOX control
will trigger PSD permitting
requirements, including the application
of BACT, if they exceed the H2SO4
significance threshold of 7 tpy. Add-on
control technologies exist to help reduce
H2SO4 emissions following SO2 to SO3
conversion from combustion and SCR,
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Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
including injection of reagents (e.g.,
hydrated lime, sodium bisulfite) to
convert H2SO4 to particulate matter that
is then captured by downstream PM
control devices, such as baghouses.
Based on discussions with URS
Corporation, the commercial vendor for
sodium bisulfite (SBS) injection
technology, the expected low
concentrations of H2SO4 at FCPP,
compared to coal-fired facilities in the
Midwestern and Eastern states, suggests
the application of reagent injection will
not effectively reduce H2SO4 emissions
from FCPP. Based on a recent PSD
permit issued to the Coronado
Generating Station in Arizona, the use
of an ultra-low conversion catalyst
(achieving no more than 0.5% SO2 to
SO3 conversion) currently represents
BACT.
In addition to the impact of SCR on
H2SO4 emissions, the application of SCR
reduces the energy efficiency of the
facility by increasing parasitic load from
the use of additional fans to overcome
increased resistance created by SCR.
2. NGS
As described above, the use of LNB +
SOFA for NOX control results in
potential increases in emissions of CO
44333
and VOC, and increased LOI of fly ash.
Additionally, the impacts associated
with SCR, i.e., H2SO4 emissions
increases, the limited efficacy of reagent
injection for H2SO4 control, and energy
impacts, also apply to NGS. NGS
additionally identified another concern
related to SCR resulting from the need
for daily deliveries by tanker truck of
anhydrous ammonia for the SCR system.
D. Factor 3: Existing Controls at the
Facility
1. FCPP
Existing controls at FCPP are shown
in Table 37.
TABLE 37—EXISTING AIR POLLUTION CONTROLS AT FCPP
NOX control
PM control
..................................
..................................
..................................
..................................
none ...................................
LNB ....................................
LNB ....................................
LNB ....................................
Venturi Scrubber (VS) ...................................................
VS—Lime ......................................................................
VS—Lime ......................................................................
Reverse Gas Fabric Filter (Baghouse) .........................
Unit 5 ..................................
LNB ....................................
Baghouse ......................................................................
jlentini on DSKJ8SOYB1PROD with PROPOSALS
Unit
Unit
Unit
Unit
1
2
3
4
a. Existing NOX Controls at FCCP
For the SCR control case, EPA
conducted visibility modeling for FCPP
(Table 21, Scenario E2) without the
addition of LNB + OFA, whereas APS
modeled an SCR control case assuming
LNB + OFA could provide further
control of NOX emissions (Scenario E1).
FCPP emits more NOX than any other
coal-fired power plant in the U.S. This
is due to both the size of the facility and
the high average concentration of NOX
emitted from each unit. Every unit at
FCPP emits NOX at a higher
concentration than any other unit in
Region IX.
The potential for successfully
obtaining significant reductions of NOX
using only combustion controls, such as
LNB, at this facility is limited. The
fireboxes for Units 1, 2 and 3 are
considered to be too small to effectively
utilize modern approaches to low NOX
combustion which require separated
overfire air. Unit 2 was retrofitted with
a 1990-designed LNB and, according to
APS, had considerable operational
problems subsequent to this retrofit.
Units 1 and 2 are identical boilers. Thus
due to operational difficulties following
the Unit 2 retrofit, APS did not attempt
a retrofit on Unit 1, which continues to
emit NOX at a concentration of 0.8 lb/
MMBtu. Due to their small size, EPA
has determined that a retrofit of Units 1
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17:19 Aug 27, 2009
Jkt 217001
and 2 with LNB and Unit 3 with LNB
+ OFA will not provide significant NOX
control.
Units 4 and 5 were originally
designed and operated with cell
burners. This type of combustion burner
inherently creates more NOX than
conventional wall-fired burners.
Although these burners were replaced
in the 1980s, the design of a cell burner
boiler limits the NOX reduction that can
be achieved with modern low NOX
combustion techniques. EPA has set
different presumptive levels for the
expected achievable NOX reductions for
cell burner boilers with combustion
modifications due to this design
limitation. Thus, the efficacy of LNB +
OFA on Units 4 and 5 will also be
limited by their inherent design. EPA is
requesting comment on the potential
efficacy of LNB + OFA on all Units at
FCPP.
b. Existing PM Controls at FCCP
Units 1, 2, and 3 utilize venturi
scrubbers for both PM and SO2 control.
These scrubbers operate at pressure
drops less than 10 inches of water.
Venturi scrubbers have not been
installed for PM pollution control on
any coal fired EGU in Region IX since
the early 1970s. This was principally
due to concerns over the ability of
venturi scrubbers to continuously meet
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Fmt 4702
Sfmt 4702
SO2 control
VS.
VS—Lime.
VS—Lime.
Tray Tower Flue Gas
Desulfurization (FGD).
Tray Tower FGD.
the 0.10 lb/MMBtu standard in a 1971
regulation. Fossil fuel fired boiler
standards for coal fired units were
revised for units built after 1978 and the
PM limit was lowered to 0.03 lb/
MMbtu. Most current coal fired boilers
now use baghouses which are capable of
meeting PM limits of about 0.01 to 0.012
lb/MMBtu (Method 5 front half PM
measurement).
In Region IX, all other coal fired EGUs
controlled by venturi scrubbers have
been retrofit with new PM controls. Unit
1 at APS’s Cholla power plant was
retrofit with a baghouse in 2007, in
order to meet a new 20% opacity
standard established by the ADEQ. APS
received an extended compliance
schedule for meeting that opacity
standard to allow for the installation of
the new baghouse. Three units at the
Nevada Energy Reid Gardner facility
also have venturi scrubbers for PM
control. These units are required by a
consent decree between Nevada Energy,
and Nevada Department of
Environmental Protection and EPA, to
install new baghouses in 2010. EPA is
requesting comment on whether the
existing controls on Units 1–3 at FCPP
meet BART for PM.
2. NGS
Existing controls at NGS are shown in
Table 38.
E:\FR\FM\28AUP1.SGM
28AUP1
44334
Federal Register / Vol. 74, No. 166 / Friday, August 28, 2009 / Proposed Rules
TABLE 38—EXISTING AIR POLLUTION CONTROLS AT NGS
NOX control
Units 1–3 ...................................................
PM control
LNB + SOFA 29 .........................................
Hot-side ESP ............................................
E. Factor 4: Remaining Useful Life of
Facility
1. FCPP
The remaining useful life of the
facility is often expressed in terms of the
amortization period used to annualize
the costs of control. In its analysis, APS
used an amortization period of 20 years,
anticipating that the remaining useful
life of Units 1–5 is at least 20 years.
EPA is requesting comment on the use
of this period of time for the remaining
useful life of FCPP.
2. NGS
In its analysis, SRP used an
amortization period of 20 years,
anticipating that the remaining useful
life of Units 1–3 is at least 20 years.
EPA is also requesting comment on
the use of this period of time for the
remaining useful life of NGS.
List of Subjects in 40 CFR Part 52
Environmental protection, Air
pollution control, Oxides of nitrogen,
Particulate matter, Regional haze.
jlentini on DSKJ8SOYB1PROD with PROPOSALS
III. Statutory and Executive Order
Reviews
Under Executive Order 12866,
entitled Regulatory Planning and
Review (58 FR 51735, October 4, 1993),
this is not a ‘‘significant regulatory
action.’’ Because this action does not
propose or impose any requirements,
the various statutes and Executive
Orders that apply to rulemaking do not
apply in this case. In addition, this
notice covers two facilities. Any future
rulemaking would be separate, one for
each facility. Determinations of
significance and applicability of any
Executive Order or statute would
depend upon the content of each
individual rulemaking. Should EPA
subsequently determine to pursue
rulemaking and propose BART for these
facilities, EPA will address the statutes
and Executive Orders as applicable to
those individual proposed actions.
Nevertheless, the Agency welcomes
comments and/or information that
would help the Agency to assess any of
the following: tribal implications
pursuant to Executive Order 13175,
entitled Consultation and Coordination
with Indian Tribal Governments (65 FR
67249, November 6, 2000);
environmental health or safety effects
on children pursuant to Executive Order
13045, entitled Protection of Children
29 On November 20, 2008, EPA Region IX issued
a PSD permit authorizing NGS to modify Units 1–
3 with LNB + SOFA over 2009–2011.
VerDate Nov<24>2008
17:19 Aug 27, 2009
Jkt 217001
from Environmental Health Risks and
Safety Risks (62 FR 19885, April 23,
1997); energy effects pursuant to
Executive Order 13211, entitled Actions
Concerning Regulations that
Significantly Affect Energy Supply,
Distribution, or Use (66 FR 28355, May
22, 2001); Paperwork burdens pursuant
to the Paperwork Reduction Act (PRA)
(44 U.S.C. 3501); or human health or
environmental effects on minority or
low-income populations pursuant to
Executive Order 12898, entitled Federal
Actions to Address Environmental
Justice in Minority Populations and
Low-Income Populations (59 FR 7629,
February 16, 1994). The Agency will
consider such comments during the
development of any subsequent
rulemaking.
Authority: 42 U.S.C. 7401 et seq.
Dated: August 19, 2009.
Laura Yoshii,
Acting Regional Administrator, Region IX.
[FR Doc. E9–20826 Filed 8–27–09; 8:45 am]
BILLING CODE 6560–50–P
ENVIRONMENTAL PROTECTION
AGENCY
40 CFR Part 52
[EPA–R09–OAR–2009–0385; FRL–8948–5]
Revisions to the California State
Implementation Plan, San Joaquin
Valley Unified Air Pollution Control
District and Santa Barbara County Air
Pollution Control District
AGENCY: Environmental Protection
Agency (EPA).
ACTION: Proposed rule.
SUMMARY: EPA is proposing to approve
revisions to the San Joaquin Valley
Unified Air Pollution Control District
(SJVUAPCD) and the Santa Barbara
County Air Pollution Control
(SBCAPCD) portions of the California
State Implementation Plan (SIP). We are
proposing to approve these local rules
that are administrative and address
changes for clarity and consistency
under the Clean Air Act as amended in
1990 (CAA or the Act).
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Fmt 4702
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SO2 control
Wet FGD
DATES: Any comments on this proposal
must arrive by September 28, 2009.
ADDRESSES: Submit comments,
identified by docket number EPA–R09–
OAR–2009–0385, by one of the
following methods:
1. Federal eRulemaking Portal:
https://www.regulations.gov. Follow the
on-line instructions.
2. E-mail: steckel.andrew@epa.gov.
3. Mail or deliver: Andrew Steckel
(Air-4), U.S. Environmental Protection
Agency Region IX, 75 Hawthorne Street,
San Francisco, CA 94105–3901.
Instructions: All comments will be
included in the public docket without
change and may be made available
online at https://www.regulations.gov,
including any personal information
provided, unless the comment includes
Confidential Business Information (CBI)
or other information whose disclosure is
restricted by statute. Information that
you consider CBI or otherwise protected
should be clearly identified as such and
should not be submitted through https://
www.regulations.gov or e-mail. https://
www.regulations.gov is an ‘‘anonymous
access’’ system, and EPA will not know
your identity or contact information
unless you provide it in the body of
your comment. If you send e-mail
directly to EPA, your e-mail address
will be automatically captured and
included as part of the public comment.
If EPA cannot read your comment due
to technical difficulties and cannot
contact you for clarification, EPA may
not be able to consider your comment.
Electronic files should avoid the use of
special characters, any form of
encryption, and be free of any defects or
viruses.
Docket: The index to the docket for
this action is available electronically at
https://www.regulations.gov and in hard
copy at EPA Region IX, 75 Hawthorne
Street, San Francisco, California. While
all documents in the docket are listed in
the index, some information may be
publicly available only at the hard copy
location (e.g., copyrighted material), and
some may not be publicly available in
either location (e.g., CBI). To inspect the
hard copy materials, please schedule an
appointment during normal business
hours with the contact listed in the FOR
FURTHER INFORMATION CONTACT section.
FOR FURTHER INFORMATION CONTACT:
Cynthia G. Allen, EPA Region IX, (415)
947–4120, allen.cynthia@epa.gov.
E:\FR\FM\28AUP1.SGM
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Agencies
[Federal Register Volume 74, Number 166 (Friday, August 28, 2009)]
[Proposed Rules]
[Pages 44313-44334]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E9-20826]
=======================================================================
-----------------------------------------------------------------------
ENVIRONMENTAL PROTECTION AGENCY
40 CFR Part 49
[EPA-R09-OAR-2009-0598; FRL-8950-6]
Assessment of Anticipated Visibility Improvements at Surrounding
Class I Areas and Cost Effectiveness of Best Available Retrofit
Technology for Four Corners Power Plant and Navajo Generating Station:
Advanced Notice of Proposed Rulemaking
AGENCY: Environmental Protection Agency (EPA).
ACTION: Advanced Notice of Proposed Rulemaking.
-----------------------------------------------------------------------
SUMMARY: The Environmental Protection Agency is providing an Advanced
Notice of Proposed Rulemaking (ANPR)
[[Page 44314]]
concerning the anticipated visibility improvements and the cost
effectiveness for different levels of air pollution controls as Best
Available Retrofit Technology (BART) for two coal-fired power plants,
Four Corners Power Plant (FCPP) and Navajo Generating Station (NGS),
located on the Navajo Nation. This ANPR briefly describes the
provisions in Part C, Subpart II of the Clean Air Act (CAA or Act),
EPA's implementing regulations, and the Tribal Authority Rule (TAR) for
promulgating Federal Implementation Plans (FIPs) to protect visibility
in national parks and wilderness areas known as Class I Federal areas.
The specific purpose of this ANPR is for EPA to collect additional
information that we may consider in modeling the degree of anticipated
visibility improvements in the Class I areas surrounding FCPP and NGS
and for determining whether BART controls are cost effective at this
time. EPA is also requesting any additional information that any person
believes the agency should consider in promulgating a FIP establishing
BART for FCPP and NGS.
EPA intends to publish separate FIPs proposing our BART
determinations for FCPP and NGS approximately 60 days after receiving
information from this ANPR. EPA will not respond to comments or
information submitted in response to this ANPR. The information
submitted in response to this ANPR will be used in developing the
subsequent proposed FIPs containing our detailed BART determinations
for FCPP and NGS.
The FCPP and NGS FIP proposals following this ANPR will request
further public comment. During the public comment period for the
proposed FIPs containing the FCPP and NGS BART determinations, EPA
intends to hold separate public hearings at locations to be determined
near each facility.
EPA will not hold a public hearing for this ANPR. This ANPR also
serves to begin EPA's 60-day consultation period with the Federal Land
Managers (FLMs) within the Departments of Interior and Agriculture.
Information necessary to initiate consultation is contained in this
ANPR and supporting documentation included in the docket for this ANPR.
EPA will address any matters raised by the FLMs in this 60-day
consultation period when we propose the BART FIPs for FCPP and NGS.
DATES: Comments on this ANPR must be submitted no later than September
28, 2009.
ADDRESSES: Submit comments, identified by docket number EPA-R09-OAR-
2009-0598, by one of the following methods:
1. Federal eRulemaking Portal: www.regulations.gov. Follow the on-
line instructions.
2. E-mail: lee.anita@epa.gov.
3. Mail or delivery: Anita Lee (Air-3), U.S. Environmental
Protection Agency Region IX, 75 Hawthorne Street, San Francisco, CA
94105-3901.
Instructions: All comments will be included in the public docket
without change and may be made available online at www.regulations.gov,
including any personal information provided, unless the comment
includes Confidential Business Information (CBI) or other information
whose disclosure is restricted by statute. Information that you
consider CBI or otherwise protected should be clearly identified as
such and should not be submitted through www.regulations.gov or e-mail.
www.regulations.gov is an ``anonymous access'' system, and EPA will not
know your identity or contact information unless you provide it in the
body of your comment. If you send e-mail directly to EPA, your e-mail
address will be automatically captured and included as part of the
public comment. If EPA cannot read your comment due to technical
difficulties and cannot contact you for clarification, EPA may not be
able to consider your comment.
Docket: The index to the docket for this action is available
electronically at www.regulations.gov and in hard copy at EPA Region
IX, 75 Hawthorne Street, San Francisco, California. While all documents
in the docket are listed in the index, some information may be publicly
available only at the hard copy location (e.g., copyrighted material),
and some may not be publicly available in either location (e.g., CBI).
To inspect the hard copy materials, please schedule an appointment
during normal business hours with the contact listed in the FOR FURTHER
INFORMATION CONTACT section.
FOR FURTHER INFORMATION CONTACT: Anita Lee, EPA Region IX, (415) 972-
3958, lee.anita@epa.gov.
SUPPLEMENTARY INFORMATION: Throughout this document, ``we'', ``us'',
and ``our'' refer to EPA.
Table of Contents
I. Background
A. Statutory and Regulatory Framework for Addressing Visibility
B. Statutory and Regulatory Framework for Addressing Sources
Located on Tribal Lands
C. Statutory and Regulatory Framework for BART Determinations
D. EPA's Intended Action Subsequent to ANPRM
E. Factual Background
1. Four Corners Power Plant
2. Navajo Generating Station
3. Relationship of NOX and PM to Visibility
Impairment
II. Request for Public Comment
A. Factor 1: Cost of Compliance
1. FCPP
a. Estimated Cost of Controls
b. Cost Effectiveness of Controls
2. NGS
a. Estimated Cost of Controls
b. Cost Effectiveness of Controls
B. Factor 5: Degree of Visibility Improvement
1. FCPP
a. Visibility Modeling Scenarios
b. EPA Modifications to Emission Rate Inputs
c. Ammonia Background
d. Natural Background
e. Visibility Modeling Results
2. NGS
a. Visibility Modeling Scenarios
b. EPA Modifications to Emission Rate Inputs
c. Ammonia Background and Natural Background
d. Visibility Modeling Results
C. Factor 2: Energy and Non-Air Quality Impacts
1. FCPP
2. NGS
D. Factor 3: Existing Controls at the Facility
1. FCPP
2. NGS
E. Factor 4: Remaining Useful Life of Facility
1. FCPP
2. NGS
III. Statutory and Executive Order Reviews
I. Background
A. Statutory and Regulatory Framework for Addressing Visibility
Part C, Subsection II, of the Act, establishes a visibility
protection program that sets forth ``as a national goal the prevention
of any future, and the remedying of any existing, impairment of
visibility in mandatory class I Federal areas which impairment results
from man-made air pollution.'' 42 U.S.C. 7491A(a)(1). The terms
``impairment of visibility'' and ``visibility impairment'' are defined
in the Act to include a reduction in visual range and atmospheric
discoloration. Id. 7491A(g)(6). A fundamental requirement of the
program is for EPA, in consultation with the Secretary of the Interior,
to promulgate a list of ``mandatory Class I Federal areas'' where
visibility is an important value. Id. 7491A(a)(2). These areas include
national wilderness areas and national parks greater than six thousand
acres in size. Id. 7472(a).
On November 30, 1979, EPA identified 156 mandatory Class I Federal
areas, including for example: Grand Canyon National Park in Arizona (40
[[Page 44315]]
CFR 81.403); Mesa Verde National Park and La Garita Wilderness Area in
Colorado (Id. 81.406); Bandolier Wilderness Area in New Mexico (Id.
81.421); and Arches, Bryce Canyon, Canyonlands and Capitol Reef
National Parks in Utah (Id. 81.430). All of these mandatory Class I
Federal areas and many others are within a 300-km radius of either FCPP
or NGS.
On December 2, 1980, EPA promulgated what it described as the first
phase of the required visibility regulations, codified at 40 CFR
51.300-51.307 (45 FR 80084). The 1980 regulations deferred regulating
regional haze from multiple sources finding that the scientific data
was inadequate at that time. Id. at 80086.
Congress added Section 169B to the Act in the 1990 Amendments,
requiring EPA to take further action to reduce visibility impairment in
broad geographic regions. 42 U.S.C. 7492. In 1993, the National Academy
of Sciences released a comprehensive study \1\ required by the 1990
Amendments concluding that ``current scientific knowledge is adequate
and control technologies are available for taking regulatory action to
improve and protect visibility.''
---------------------------------------------------------------------------
\1\ ``Protecting Visibility in National Parks and Wilderness
Areas'', Committee on Haze in National Parks and Wilderness Areas,
National Research Council, National Academy Press (1993).
---------------------------------------------------------------------------
EPA first promulgated regulations to address regional haze on April
22, 1999. 64 FR 35765 (April 22, 1999). EPA's 1999 regional haze
regulations included a provision requiring States to review BART-
eligible sources for potentially mandating further air pollution
controls. Congress defined BART-eligible sources as ``each major
station stationary source which is in existence on August 7, 1977, but
which has not been in operation for more than fifteen years as of such
date'' which emits pollutants that are reasonably anticipated to cause
or contribute to visibility impairment. 42 U.S.C. 7479(b)(2)(A).
EPA's 1999 regulations followed the five factor approach set forth
in the statutory definition of BART. However, the regulations treated
the fifth factor, the degree of visibility improvement, on an area-wide
rather than source specific basis. 64 FR 35741. The Court remanded the
1999 regulations to EPA on that issue. American Corn Growers Assoc. v.
EPA, 291 F.3d 1 (DC Cir. 2002). EPA promulgated revisions to the
regulations in June 2003, which were remanded on narrow grounds not
relevant to this action. Center for Energy and Economic Development v.
EPA, 398 F.3d 653 (DC Cir. 2005). Finally, EPA revised regional haze
regulations in March 2005, which were upheld by the Court of Appeals
for the District of Columbia Circuit. Utility Air Regulatory Group v.
EPA, 471 F.3d 1333 (DC Cir. 2006).
B. Statutory and Regulatory Framework for Addressing Sources Located on
Tribal Lands
The 1990 Amendments included Section 301(d)(4) of the Act directing
EPA to promulgate regulations for controlling air pollution on Tribal
lands. EPA promulgated regulations to implement this Congressional
directive, known as the Tribal Authority Rule (TAR), in 1998. 63 FR
7264 (1998) codifed at 40 CFR 49.1-49.11. See generally Arizona Public
Service v. EPA, 211 F.3d 1280 (DC Cir. 2000).
Section 49.11 of the TAR authorizes EPA to promulgate a FIP when
EPA determines such regulations are ``necessary or appropriate'' to
protect air quality. 40 CFR 49.11(a). Pursuant to the authority in the
TAR, EPA promulgated a source specific FIP for FCPP 2006. The Court of
Appeals for the Tenth Circuit considered the regulatory language in 40
CFR 49.11(a) and concluded that ``[i]t provides the EPA discretion to
determine what rulemaking is necessary or appropriate to protect air
quality and requires the EPA to promulgate such rulemaking.'' Arizona
Public Service v. EPA, 562 F.3d 1116 (10th Cir. 2009).
C. Statutory and Regulatory Framework for BART Determinations
FCPP and NGS are the only BART eligible sources located on the
Navajo Nation. EPA's guidelines for evaluating BART are set forth in
Appendix Y to 40 CFR Part 51. The Guidelines include a ``five factor''
analysis for BART determinations. Id. at IV.A. Those factors, from the
definition of BART, are: (1) Costs of compliance, (2) the energy and
non-air quality environmental impacts of compliance, (3) any pollution
control equipment in use or in existence 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. 40 CFR 51.308(e)(1)(ii)(A).
D. EPA's Intended Action Subsequent to the ANPR
After receiving information from this ANPR, EPA intends to propose
separate FIPs for FCPP and NGS containing our determination of what
level of control technology is BART for each power plant. EPA has
determined it has authority to promulgate these FIPs under CAA Section
301(d)(4), 40 CFR Part 49.11, and 40 CFR 51.308(e). Any person may
submit information concerning EPA's authority during the 30 day comment
period for this ANPR.
As discussed more fully below, EPA is specifically seeking
information in this ANPR on two of the listed considerations in the
five factor test: (1) The data inputs to model the degree of
improvement in visibility which may reasonably be anticipated from
different levels of air pollution controls as BART and (2) the costs of
compliance of those potential BART controls. We anticipate that those
two factors will generate the most comments on our subsequent proposed
BART FIPs for FCPP and NGS. Information on the other three factors in
the five factor test may also be submitted in response to this ANPR.
E. Factual Background
1. Four Corners Power Plant
FCPP is a privately owned and operated coal-fired power plant
located on the Navajo Nation Indian Reservation near Farmington, New
Mexico. Based on lease agreements signed in 1960, FCPP was constructed
and has been operating on real property held in trust by the Federal
government for the Navajo Nation. The facility consists of five coal-
fired electric utility steam generating units with a total capacity of
2060 megawatts (MW). Units 1, 2, and 3 at FCPP are owned entirely by
Arizona Public Service (APS), which serves as the facility operator,
and are rated to 170 MW (Units 1 and 2) and 220 MW (Unit 3). Units 4
and 5 are each rated to a capacity of 750 MW, and are co-owned by six
entities: Southern California Edison (48%), APS (15%), Public Service
Company of New Mexico (13%), Salt River Project (SRP) (10%), El Paso
Electric Company (7%), and Tucson Electric Power (7%).
Based on 2006 emissions data from the EPA Clean Air Markets
Division,\2\ FCPP is the largest source of NOX emissions in
the United States (nearly 45,000 tons per year (tpy) of
NOX).
---------------------------------------------------------------------------
\2\ ``Clean Air Markets--Data and Maps'' at https://camddataandmaps.epa.gov/gdm/.
---------------------------------------------------------------------------
FCPP, located near the Four Corners region of Arizona, New Mexico,
Utah, and Colorado, is within 300 kilometers (km) of sixteen mandatory
Class I areas: Arches National Park (NP), Bandolier National Monument
(NM), Black Canyon of the Gunnison Wilderness Area (WA), Canyonlands
NP, Capitol Reef NP, Grand Canyon NP, Great Sand Dunes NP, La Garita
WA, Maroon Bells-Snowmass WA, Mesa Verde NP, Pecos WA, Petrified Forest
NP, San Pedro Parks WA, West Elk WA, Weminuche WA, and Wheeler Park WA.
APS
[[Page 44316]]
provided information relevant to a BART analysis to EPA on January 29,
2008. The information consisted of a BART engineering and cost analysis
conducted by Black and Veatch (B&V) dated December 4, 2007 (Revision
3), a BART visibility modeling protocol prepared by ENSR Corporation
(now called AECOM and will be referred to as AECOM throughout this
document) dated January 2008, a BART visibility modeling report
prepared by AECOM dated January 2008, and APS BART Analysis
conclusions, dated January 29, 2008. APS provided supplemental
information on cost and visibility modeling in correspondence dated May
28, 2008, June 10, 2008, November 2008, and March 16, 2009.
2. Navajo Generating Station
NGS is a coal-fired power plant located on the Navajo Nation Indian
Reservation, just east of Page, Arizona, approximately 135 miles north
of Flagstaff, Arizona. The facility is co-owned by six different
entities: U.S. Bureau of Reclamation (24.3%), SRP, which also acts as
the facility operator (21.7%), Los Angeles Department of Water and
Power (21.2%), APS (14%), Nevada Power Company (11.3%), and Tucson
Electric Power (7.5%).
Based on 2006 emissions data from the EPA Clean Air Markets
Division, NGS is the fourth largest source of NOX emissions
in the United States (nearly 35,000 tpy). NGS, in northern Arizona, is
located within 300 km of eleven Class I areas: Arches NP, Bryce Canyon
NP, Canyonlands NP, Capitol Reef NP, Grand Canyon NP, Mazatzal WA, Mesa
Verde NP, Petrified Forest NP, Pine Mountain WA, Sycamore Canyon WA,
and Zion NP.
SRP submitted to EPA a BART modeling protocol prepared by AECOM
dated September 2007, and a BART Analysis, conducted by AECOM, dated
November 2007. SRP provided supplemental information regarding cost on
July 29, 2008, a revised BART Analysis, dated December 2008, and
additional information regarding modeling and emission control rates on
June 3, 2009.
3. Relationship of NOX and PM to Visibility Impairment
Particulate matter (PM) less than 10 microns (millionths of a
meter) in size interacts with light. The smallest particles in the 0.1
to 1 micron range interact most strongly as they are about the same
size as the wavelengths of visible light. The effect of the interaction
is to scatter light from its original path. Conversely, for a given
line of sight, such as between a mountain scene and an observer, light
from many different original paths is scattered into that line. The
scattered light appears as whitish haze in the line of sight, obscuring
the view.
PM emitted directly into the atmosphere, also called primary PM,
for example from materials handling, tends to be coarse, i.e. around 10
microns, since it is created from the breakup of larger particles of
soil and rock. PM that is formed in the atmosphere from the
condensation of gaseous chemical pollutants, also called secondary PM,
tends to be fine, i.e. smaller than 1 micron, since they are formed
from the buildup of individual molecules. Thus, secondary PM tends to
contribute more to visibility impairment than primary PM because it is
in the size range where it most effectively interacts with visible
light. NOX and ammonia are two examples of precursors to
secondary PM.
NOX is a gaseous pollutant that can be oxidized to form
nitric acid. In the atmosphere, nitric acid in the presence of ammonia
can form particulate ammonium nitrate. The formation of ammonium
nitrate is also dependent on temperature and relative humidity.
Particulate ammonium nitrate can grow into the size range that
effectively interacts with light by coagulating together and by taking
on additional pollutants and water. The same principle applies to
SO2 and the formation of particulate ammonium sulfate.
In air quality models, secondary PM is tracked separately from
primary PM because the amount of secondary PM formed depends on weather
conditions and because it can be six times more effective at impairing
visibility. This is reflected in the equation used to calculate
visibility impact from concentrations measured by the Interagency
Monitoring of Protected Visual Environments (IMPROVE) monitoring
network covering Class I areas.\3\
---------------------------------------------------------------------------
\3\ Guidance for Estimating Natural Visibility Conditions Under
the Regional Haze Rule, U.S. Environmental Protection Agency'', EPA-
454/B-03-005, September 2003; https://www.epa.gov/ttn/oarpg/t1pgm.html.
---------------------------------------------------------------------------
II. Request for Public Comment
A. Factor 1: Cost of Compliance
1. FCPP
a. Estimated Cost of Controls
APS, through its contractor B&V, evaluated the BART cost of
compliance analysis using the EPA Coal Utility Environmental Cost
(CUECost) program, information supplied by equipment vendors, estimates
from previous projects, and projected costs from FCPP. The cost
estimates provided by APS (updated in the March 16, 2009 submission to
EPA) are included in Table 1 for four different levels of control
technology to reduce NOX and in Table 2 for four different
levels of control options to reduce PM on Units 1-3. The NOX
control technology options in Table 1 are: (1) Low NOX
Burners (LNB) on Units 1 and 2 and LNB plus overfire air (OFA) on Units
3-5; (2) selective catalytic reduction (SCR) on all units (units 1-5);
(3) SCR plus LNB on all units (Units 1-5); and (4) SCR plus LNB + OFA
on all units (units 1-5). The PM control options for Units 1-3 \4\ are:
(1) Electrostatic precipitators (ESP) upstream of current air quality
control equipment, i.e., venturi scrubbers; (2) pulse jet fabric filter
(baghouse) upstream of current air quality control equipment; (3) wet
metal ESP downstream of venturi scrubber, and (4) wet membrane ESP
downstream of venturi scrubber.
---------------------------------------------------------------------------
\4\ PM emissions from Units 4 and 5 at FCPP are already
controlled by baghouses.
Table 1--FCPP Costs of Compliance for NOX Based on APS's Analysis
----------------------------------------------------------------------------------------------------------------
LNB/LNB + OFA \5\ SCR SCR + LNB SCR + LNB + OFA
----------------------------------------------------------------------------------------------------------------
Total Capital Investment
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $4,109,000 $110,664,000 $111,609,000 $112,058,000
Unit 2.............................. 4,109,000 119,010,000 121,066,000 121,496,000
Unit 3.............................. 4,701,000 113,084,000 115,420,000 114,851,000
Unit 4.............................. 15,260,000 265,406,000 273,892,000 279,444,000
[[Page 44317]]
Unit 5.............................. 15,260,000 265,406,000 273,892,000 279,444,000
----------------------------------------------------------------------------------------------------------------
Total Annual Costs
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $922,000 $22,297,000 $21,764,000 $21,685,000
Unit 2.............................. 922,000 23,634,000 23,468,000 23,385,000
Unit 3.............................. 1,055,000 23,173,000 23,010,000 22,729,000
Unit 4.............................. 3,447,000 55,755,000 56,883,000 57,237,000
Unit 5.............................. 3,447,000 55,755,000 56,883,000 57,237,000
----------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------
\5\ Capital and annual cost values are for LNB on Units 1 and 2,
and LNB + OFA on Units 3-5.
Table 2--FCPP Costs of Compliance for PM Based on APS's Analysis
----------------------------------------------------------------------------------------------------------------
Upstream \6\ ESP Upstream baghouse Wet metal ESP Wet membrane ESP
----------------------------------------------------------------------------------------------------------------
Total Capital Investment
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $37,236,000 $50,515,000 $32,136,000 $23,360,000
Unit 2.............................. 45,702,000 60,992,000 32,879,000 23,901,000
Unit 3.............................. 40,135,000 59,594,000 59,594,000 \7\ 26,988,000
----------------------------------------------------------------------------------------------------------------
Total Annual Costs
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $10,169,000 $13,950,000 $8,781,000 $5,652,000
Unit 2.............................. 11,011,000 14,481,000 8,972,000 6,658,000
Unit 3.............................. 10,925,000 16,559,000 10,309,000 7,557,000
----------------------------------------------------------------------------------------------------------------
b. Cost Effectiveness of Controls
---------------------------------------------------------------------------
\6\ Upstream refers to a location before the existing venturi
scrubbers.
\7\ This estimate was reported by APS in their December 2007
analysis. EPA believes this value was reported by APS in error
because it is unlikely a wet ESP would equal the cost of a baghouse
for Unit 3, but not Units 1 and 2.
---------------------------------------------------------------------------
To determine the cost effectiveness of controls, typically
expressed in cost per ton of pollutant reduced ($/ton), estimating the
amount of NOX and PM that will be reduced from the various
control options is necessary. The estimated reduction of the pollutant
is determined by establishing the baseline emissions and the degree of
emissions reduction from the control technology. 40 CFR Part 51, App.
Y, Step 4, c.
APS estimated NOX emissions reductions by starting with
baseline emission rates of NOX of: 0.78 pounds of
NOX per million BTU heat input (lb/MMBtu) for Unit 1; 0.64
lb/MMBtu for Unit 2; 0.59 lb/MMBtu for Unit 3; and 0.49 lb/MMBtu from
Units 4 and 5 each. For the four control technology options, APS
estimated FCPP could achieve the following emissions reductions: (1)
LNB on Units 1 and 2 would reduce NOX 45% and 33%,
respectively and LNB + OFA on Units 3, and 4-5 would reduce
NOX 44% and 29%, respectively; (2) SCR on Units 1-5 would
reduce NOX approximately 88-91%; (3) SCR + LNB on Units 1-5
would reduce NOX by 88-93%; and (4) SCR + LNB + OFA on Units
1-5 would reduce NOX by approximately 88--93%.
APS estimated PM emissions reductions using baseline emission rates
of PM of: 0.025 lb/MMBtu for Unit 1; 0.029 lb/MMBtu for Unit 2; and
0.029 lb/MMBtu for Unit 3. APS estimated that the four different PM
control options would all achieve 52% control on Unit 1 and 59% control
on Units 2 and 3.
Table 3 lists the reduction in NOX emissions and cost
effectiveness estimated by APS for the four control technology options
listed in Table 1. Table 4 provides the corresponding estimates for PM.
Table 3--FCPP Emissions Reductions and Cost Effectiveness for NOX
----------------------------------------------------------------------------------------------------------------
LNB/LNB + OFA \8\ SCR SCR + LNB SCR + LNB + OFA
----------------------------------------------------------------------------------------------------------------
Tons of NOX Reduced per Year (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 2,569 5,138 5,285 5,285
Unit 2.............................. 1,573 4,344 4,344 4,344
Unit 3.............................. 2,465 5,025 5,025 5,023
Unit 4.............................. 3,798 11,665 11,665 11,665
Unit 5.............................. 3,798 11,665 11,665 11,665
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness of Controls ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 359 4,343 4,118 4,103
Unit 2.............................. 586 5,484 5,403 5,384
Unit 3.............................. 428 4,582 4,579 4,523
[[Page 44318]]
Unit 4.............................. 908 4,872 4,780 4,907
Unit 5.............................. 908 4,872 4,780 4,907
----------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------
\8\ Capital and annual cost values are for LNB on Units 1 and 2,
and LNB + OFA on Units 3-5.
Table 4--FCPP Emissions Reductions and Cost Effectiveness for PM
----------------------------------------------------------------------------------------------------------------
Upstream ESP Upstream baghouse Wet metal ESP Wet membrane ESP
----------------------------------------------------------------------------------------------------------------
Tons of PM Reduced per Year (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 95 95 95 95
Unit 2.............................. 127 127 127 127
Unit 3.............................. 161 161 161 161
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness of Controls ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 106,571 146,195 92,024 59,233
Unit 2.............................. 86,485 113,739 70,470 52,294
Unit 3.............................. 67,785 102,741 63,963 46,888
----------------------------------------------------------------------------------------------------------------
EPA's regulations recommend using the EPA's Office of Air Quality
Planning and Standards' Air Pollution Cost Control Manual (Sixth
Edition, January 2002) for estimating costs of compliance. 40 CFR Part
51, App. Y, Step 4.a.4. The Air Pollution Cost Control Manual provides
guidance and methodologies for developing accurate and consistent
estimates of cost for air pollution control devices. The costs that may
be estimated include capital costs, operation and maintenance expenses,
and other annual costs. Chapter 2 (Cost Estimation: Concepts and
Methodology) states that total capital costs may include equipment
costs, freight, sales tax, and installation costs. For existing
facilities, retrofit costs should also be considered, and may include
auxiliary equipment, handling and erection, piping, insulation,
painting, site preparation, off-site facilities, engineering, and lost
production revenue. Finally, annual costs are estimated from costs of
raw materials, maintenance labor and materials, utilities, waste
treatment and disposal, replacement materials, overhead, property
taxes, insurance, and administrative charges.
For the estimated costs that FCPP submitted, in Tables 1 & 2 above,
APS provided line-item estimates for the direct and indirect capital
costs, as well as direct and indirect annual costs. APS's estimate,
however, included several costs that are not included in the EPA Air
Pollution Cost Control Manual, including costs of unintended
consequences, such as new Continuous Emission Monitors (CEMs) and costs
of Relative Accuracy Test Audits (RATA) for the CEMs. Additionally,
FCPP included costs of performance tests and ``owner's costs'' in the
indirect capital investment, such as financing, project management, and
construction support costs, as well as legal assistance, permits and
offsets, and public relations costs.
In reviewing APS's estimate, EPA found that the ratio of annual
costs to the total capital costs for all control technologies projected
by APS are considerably higher than those projected by other facilities
that were amortized over the same 20 year time frame. For example, the
total capital investment of SCR for Units 4 and 5 at FCPP is comparable
to the most costly SCR retrofit (Unit 2) at NGS. However, total annual
costs for FCPP are approximately 20% of the total capital costs for
NOX control, and approximately 17-28% of total capital costs
for PM control. In contrast, the total annual cost estimates by NGS for
LNB and SCR are approximately 12-14% of the total capital costs. Other
facilities in Arizona, New Mexico, and Oregon presented annual costs
that ranged from 12-15% of total capital investments.
In Tables 5 and 6, EPA re-calculated the total annual cost of the
NOX and PM control technologies based on an annual to
capital cost ratio of 15% to be consistent with annual costs estimated
by other facilities. EPA did not adjust APS's estimates for capital
costs.
Table 5--FCPP Costs of Compliance for NOX Based on EPA Revisions
----------------------------------------------------------------------------------------------------------------
LNB/LNB + OFA SCR SCR + LNB SCR + LNB + OFA
----------------------------------------------------------------------------------------------------------------
Total Annual Costs
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $616,350 $16,599,600 $16,741,350 $16,808,700
Unit 2.............................. 616,350 17,851,500 18,159,900 18,224,400
Unit 3.............................. 705,150 16,962,600 17,313,000 17,227,650
Unit 4.............................. 2,289,000 39,810,900 39,810,900 41,916,600
Unit 5.............................. 2,289,000 39,810,900 39,810,900 41,916,600
----------------------------------------------------------------------------------------------------------------
[[Page 44319]]
Table 6--FCPP Costs of Compliance for PM Based on EPA Revisions
----------------------------------------------------------------------------------------------------------------
Upstream ESP Upstream baghouse Wet metal ESP Wet membrane ESP
----------------------------------------------------------------------------------------------------------------
Total Annual Costs
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $5,585,400 $7,577,250 $4,820,400 $3,504,000
Unit 2.............................. 6,855,300 9,148,800 4,931,850 3,585,150
Unit 3.............................. 6,020,250 8,939,100 8,939,100 4,048,200
----------------------------------------------------------------------------------------------------------------
In addition to the total annual cost, other factors, such as
estimated control efficiency and how the emissions reductions are
calculated influence the cost effectiveness of controls. See 40 CFR
Part 51, App. Y, Step 4.a.4. APS estimated that SCR could achieve
NOX control of approximately 90% or greater from the
baseline emissions. For new facilities, 90% or greater reduction in
NOX from SCR can be reasonably expected. See May 2009 White
Paper on SCR from Institute of Clean Air Companies.\9\ For SCR
retrofits on an existing coal-fired power plant, Arizona Department of
Environmental Quality (ADEQ) determined that 75% control from SCR
(following upstream reductions by LNB) was appropriate for the Coronado
Generating Station in Arizona.\10\ Based on this data, EPA has
determined that an 80% control efficiency for SCR alone, rather than
the 90+% control assumed by APS, is appropriate. Accordingly, EPA
calculated post-SCR control NOX emissions from FCPP to be
higher than the values of 0.06 and 0.08 lb/MMBtu used by APS, ranging
from 0.10 lb/MMBtu from Units 4 or 5 to a maximum of 0.16 lb/MMBtu from
Unit 1.
---------------------------------------------------------------------------
\9\ White Paper: Selective Catalytic Reduction (SCR) Control of
NOX Emissions from Fossil Fuel-Fired Electric Power
Plants, Prepared by Institute of Clean Air Companies Inc., May 2009.
\10\ See https://www.azdeq.gov/environ/air/permits/download/pastmonth.pdf.
---------------------------------------------------------------------------
APS reported baseline PM emissions from Unit 3 to be 0.029 lb/
MMBtu, however, EPA has determined that 0.05 lb/MMBtu for Unit 3 is the
appropriate emission rate to use based on source test information
collected in October 2007. PM emissions determined from three one-hour
test runs on October 19, 2007 were 0.041 lb/MMbtu, 0.372 lb/MMbtu, and
0.121 lb/MMbtu. APS shut down Unit 3 for repairs after receiving the
test results. Subsequent testing when the unit was brought back on line
showed the unit barely met its 0.05 lb/MMbtu emission limit. Prior year
test results for Unit 3 have also shown emissions at or near the 0.05
lb/MMBtu limit.
Tables 7 and 8 contain EPA's re-calculated emissions reductions and
cost effectiveness for NOX and PM based on adjusting the
annual costs, the NOX control efficiency for SCR and the
baseline PM emissions as discussed above.
Table 7--FCPP Cost Effectiveness for NOX Based on EPA Revisions
----------------------------------------------------------------------------------------------------------------
LNB/LNB + OFA SCR SCR + LNB SCR + LNB + OFA
----------------------------------------------------------------------------------------------------------------
Tons of NOX Reduced per Year (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 2,478 4,417 5,097 5,097
Unit 2.............................. 1,524 3,716 4,210 4,210
Unit 3.............................. 2,563 4,652 5,224 5,224
Unit 4.............................. 3,275 9,171 10,060 10,060
Unit 5.............................. 3,284 9,195 10,086 10,086
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness of Controls ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 249 3,758 3,284 3,298
Unit 2.............................. 404 4,803 4,314 4,329
Unit 3.............................. 275 3,646 3,314 3,298
Unit 4.............................. 699 4,341 3,957 4,167
Unit 5.............................. 697 4,330 3,947 4,156
----------------------------------------------------------------------------------------------------------------
Table 8--FCPP Cost Effectiveness for PM Based on EPA Revisions
----------------------------------------------------------------------------------------------------------------
Upstream ESP Upstream baghouse Wet metal ESP Wet membrane ESP
----------------------------------------------------------------------------------------------------------------
Tons of PM Reduced per Year (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 92 92 92 92
Unit 2.............................. 123 123 123 123
Unit 3.............................. 375 375 375 375
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness of Controls ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. 60,691 82,334 52,378 38,074
Unit 2.............................. 55,556 74,143 39,968 29,054
Unit 3.............................. 16,074 23,867 23,867 10,808
----------------------------------------------------------------------------------------------------------------
[[Page 44320]]
The National Park Service (NPS) calculated the cost effectiveness
of SCR using only the estimates and allowed categories of costs from
EPA's Air Pollution Control Costs Manual. The NPS costs of compliance
and cost effectiveness are shown in Table 9. NPS assumed post-SCR
NOX emissions of 0.06 lb/MMBtu. The capital and annual costs
of SCR the NPS estimated using the EPA Control Cost Manual are
considerably lower than those estimated by APS.
Table 9--NPS's Estimated SCR Costs of Compliance for FCPP
----------------------------------------------------------------------------------------------------------------
Cost
Total capital Total annual cost effectiveness
cost (ton)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. $18,508,764 $2,983,004 $1,558
Unit 2................................................. 18,508,764 3,052,010 1,469
Unit 3................................................. 22,187,577 3,497,117 1,684
Unit 4................................................. 52,788,968 9,838,997 1,185
Unit 5................................................. 52,788,968 9,213,942 1,357
----------------------------------------------------------------------------------------------------------------
In Tables 10 and 11, EPA has calculated the expected increase in
electricity generation costs to be borne by consumers in terms of
dollars per kilowatt hour ($/kWh), assuming 85% capacity. The
calculation is based on EPA's annual cost estimates in Tables 5 and 6.
DOE provides information on the average cost of electricity by state in
a given year.\11\ In 2009, the average cost of electricity in Arizona
for residential consumers was $0.0994/kWh, which was below the U.S.
average ($0.1128/kWh) and the continental U.S. maximum of $0.1993/kWh
in Connecticut.
---------------------------------------------------------------------------
\11\ https://www.eia.doe.gov/cneaf/electricity/epm/table5_6_b.html
Table 10--Increase in Electricity Costs From NOX Controls at FCPP
----------------------------------------------------------------------------------------------------------------
SCR + LNB + OFA
LNB/LNB + OFA kWh SCR kWh SCR + LNB kWh kWh
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $0.001 $0.015 $0.015 $0.015
Unit 2.............................. 0.001 0.016 0.016 0.016
Unit 3.............................. 0.001 0.011 0.012 0.012
Unit 4.............................. 0.001 0.009 0.009 0.009
Unit 5.............................. 0.001 0.009 0.009 0.009
----------------------------------------------------------------------------------------------------------------
Table 11--Increase in Electricity Costs From PM Controls at FCPP
----------------------------------------------------------------------------------------------------------------
Upstream baghouse Wet membrane ESP
Upstream ESP kWh kWh Wet metal ESP kWh kWh
----------------------------------------------------------------------------------------------------------------
Unit 1.............................. $0.005 $0.007 $0.004 $0.003
Unit 2.............................. 0.006 0.008 0.004 0.003
Unit 3.............................. 0.004 0.006 0.006 0.003
----------------------------------------------------------------------------------------------------------------
EPA requests comments on the data used to estimate the cost of
compliance for the different levels of control for NOX and
PM for FCPP.
2. NGS
a. Cost of Compliance
The cost estimates provided by SRP (updated in the 2008 submissions
to EPA) are included in Table 12 for different control options for
NOX. The NOX control options included in Table 12
are (1) LNB plus Separated Overfire Air (SOFA) on all three units, (2)
SCR on Units 1 and 3, LNB + SOFA on Unit 2, and (3) SCR + LNB + SOFA on
all three units.
Table 12--NGS Costs of Compliance for NOX Based on SRP Analysis
----------------------------------------------------------------------------------------------------------------
SCR + LNB + SOFA
LNB + SOFA (All (Units 1 & 3); SCR + LNB + SOFA
units) LNB + SOFA (Unit (All units)
2)
----------------------------------------------------------------------------------------------------------------
Total Capital Investment
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. $14,000,000 $212,000,000 $212,000,000
Unit 2................................................. 14,000,000 14,000,000 281,000,000
Unit 3................................................. 14,000,000 212,000,000 212,000,000
----------------------------------------------------------------------------------------------------------------
[[Page 44321]]
Total Annual Cost
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. 1,622,000 28,951,500 28,951,500
Unit 2................................................. 1,622,000 36,945,000 36,945,000
Unit 3................................................. 1,622,000 28,951,500 28,951,500
----------------------------------------------------------------------------------------------------------------
The higher retrofit cost of SCR on Unit 2 compared to Units 1 and 3
is a result of the physical layout of the coal conveyor and its
supports in relation to Unit 2. Because of limited access for
construction cranes and equipment, and to make room for the SCR and
fans by demolishing the remainder of the old Unit 2 chimney, costs for
the Unit 2 retrofit are anticipated to be higher than for Units 1 and
3.\12\
---------------------------------------------------------------------------
\12\ See July 29, 2008 Letter from Kevin Wanttaja (SRP) to
Deborah Jordan (EPA) and its attachment: July 25, 2008 Final Report
for SCR and SNCR Cost Study, prepared by Sargent and Lundy.
---------------------------------------------------------------------------
b. Cost Effectiveness
In determining the cost effectiveness of controls, SRP estimated
NOX emissions reductions using baseline emission rates of:
0.49 lb/MMBtu for Unit 1; 0.45 lb/MMBtu for Unit 2; 0.46 lb/MMBtu for
Unit 3. For the various control options, SRP estimated emissions
reductions from: LNB + SOFA of 47-51% to achieve 0.24 lb/MMBtu; and
from SCR of 82-84% to achieve 0.08 lb/MMBtu.
Table 13 lists the reduction in NOX emissions and cost
effectiveness estimated by SRP for the three control scenarios listed
in Table 12.
Table 13--SRP Emissions Reductions and Cost Effectiveness for NOX
----------------------------------------------------------------------------------------------------------------
SCR + LNB + SOFA
LNB + SOFA (All (Units 1 & 3); SCR + LNB + SOFA
units) LNB + SOFA (Unit (All units)
2)
----------------------------------------------------------------------------------------------------------------
NOX Emissions Reductions (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. 9,631 15,794 15,794
Unit 2................................................. 8,667 8,667 15,271
Unit 3................................................. 8,824 15,241 15,241
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. 168 1,833 1,833
Unit 2................................................. 187 187 2,419
Unit 3................................................. 184 1,900 1,900
----------------------------------------------------------------------------------------------------------------
Appendix Y of the BART Guidelines states that average cost
effectiveness should be based on the annualized cost and the difference
between baseline annual emissions and annual emissions with the control
technology. In calculating the cost effectiveness, it appears SRP used
the same 24-hour average actual emission rate from the highest emitting
day used for its modeling inputs, rather than an annual average rate.
Therefore, EPA has revised SRP's estimated NOX emissions
reductions by starting with baseline emission rates for NOX
averaged over 2004-2006 of: 0.35 lb/MMBtu for Unit 1; 0.37 lb/MMBtu for
Unit 2; 0.31 lb/MMBtu for Unit 3. The revised emission reductions and
cost effectiveness estimates are provided in Table 14.
Table 14--EPA Emissions Reductions and Cost Effectiveness for NOX
----------------------------------------------------------------------------------------------------------------
SCR + LNB + SOFA
LNB + SOFA (All (Units 1 & 3); SCR + LNB + SOFA
units) LNB + SOFA (Unit (All units)
2)
----------------------------------------------------------------------------------------------------------------
NOX Emissions Reductions (tpy)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. 3,658 9,643 9,643
Unit 2................................................. 4,208 4,208 9,888
Unit 3................................................. 2,284 8,158 8,158
----------------------------------------------------------------------------------------------------------------
Cost Effectiveness ($/ton)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. 443 3,002 3,002
Unit 2................................................. 385 385 3,736
[[Page 44322]]
Unit 3................................................. 710 3,549 3,549
----------------------------------------------------------------------------------------------------------------
The NPS calculated the cost effectiveness of SCR + LNB + SOFA using
only the estimates and allowed categories of costs from EPA's Air
Pollution Control Costs Manual. The NPS costs of compliance and cost
effectiveness are shown in Table 15. NPS assumed post-SCR
NOX emissions of 0.05 lb/MMBtu. NPS accounts for the higher
retrofit costs associated with Unit 2 by applying a larger retrofit
factor associated with physically difficult retrofits on Unit 2
compared to Units 1 and 3. Note that the capital and annual costs of
SCR estimated using the EPA Control Cost Manual are considerably lower
than those estimated by SRP.
Table 15--NPS Costs of Controls and Cost Effectiveness for SCR
----------------------------------------------------------------------------------------------------------------
Cost
Total capital Total annual cost effectiveness
cost (ton)
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. $71,983,100 $12,065,299 $1,059
Unit 2................................................. 66,138,162 14,589,766 1,528
Unit 3................................................. 68,642,323 11,870,003 1,317
----------------------------------------------------------------------------------------------------------------
EPA calculated the expected increase in electricity generation
costs to consumers in $/kWh, assuming 85% capacity in Table 16.
Table 16--Increase in Electricity Costs From NOX Controls at NGS
----------------------------------------------------------------------------------------------------------------
SCR + LNB + SOFA
LNB + SOFA (All (Units 1&3); LNB SCR + LNB + SOFA
Units) kWh + SOFA (Unit 2) (All Units) kWh
kWh
----------------------------------------------------------------------------------------------------------------
Unit 1................................................. $0.0003 $0.006 $0.006
Unit 2................................................. 0.0003 0.0003 0.007
Unit 3................................................. 0.0003 0.006 0.006
----------------------------------------------------------------------------------------------------------------
In addition to the three NOX control scenarios, EPA
considered another SCR control option that was not addressed by SRP.
Based on EPA's understanding of the location of the coal-feed line and
the physical layout of Unit 2, EPA is requesting comment on the
application of half an SCR to Unit 2. As configured, the flue gas from
Unit 2 is split in half with each half containing its own separate hot-
side ESP and FGD. Because the flue gas is already split, and because
the coal-feed line impedes only one side of the Unit 2 split, SCR may
be applied to half of Unit 2 so that the difficult retrofit associated
with the relocation of the coal-feed line can be avoided. EPA estimates
that the application of half-SCR on Unit 2 would require a total
capital investment of $106 million, a total annual cost of $14.5
million, result in NOX reductions of over 7000 tpy (based on
control to 0.14 lb/MMBtu) with a cost effectiveness of $2000/ton and an
increased electricity generation cost of $0.003/kWh.
In the November 2007 BART Analysis, SRP states that PM emissions
controlled by hot-side ESPs in combination with wet scrubbers
effectively limited PM emissions to less than 0.03 lb/MMBtu and did not
include a BART analysis for further retrofit controls for
PM10. In a letter dated December 12, 2008, NGS proposed a
BART emission limit for PM of 0.05 lb/MMBtu. No additional discussions
of modeling or other analyses for PM control at NGS are included in
this ANPR.
EPA requests comment on the data provided above to estimate the
costs of compliance for BART controls at NGS.
B. Factor 5: Degree of Visibility Improvement
1. FCPP
a. Visibility Modeling Scenarios
APS's contractor, AECOM, conducted visibility modeling using
CALPUFF \13\ based on a number of selected inputs. APS used its
modeling results to estimate anticipated visibility improvement from
the four different control technology options at the mandatory Class I
Federal areas within a 300 km radius.
EPA disagrees with and is requesting comment on a number of the
inputs APS used for modeling. EPA has selected alternative inputs that
we have determined are more representative. We have also modeled the
resulting visibility improvement at the Class I areas based on our
revised inputs. EPA is specifically requesting comment on EPA's and
APS's selection of inputs. EPA's modeled results, also using CALPUFF,
are presented below in Tables 17-21. The modeling scenarios are:
---------------------------------------------------------------------------
\13\ CALPUFF is the model that is recommended for use in
predicting visibility impact under the Regional Haze Guidelines. 40
CFR Part 51, App. Y, III.A.3 (``CALPUFF is the best regulatory
modeling application currently available for predicting a single
source's contribution to visibility impairment and is currently the
only EPA-approved model for use in estimating single source
pollutant concentrations resulting from the long range transport of
primary pollutants. [note omitted]'').
[[Page 44323]]
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A. Baseline Visibility Impact (modeled by APS and EPA)
B. Wet ESP for PM Control on Units 1-3 (modeled by APS and EPA)
C1. LNB + OFA for NOX on Units 1-5 (modeled by APS)
C2. LNB for NOX on Units 1 and 2 and LNB + OFA on Units
3-5 (modeled by EPA)
D. SCR for NOX on Units 3-5 (modeled by EPA)
E1. SCR + LNB + OFA for NOX on Units 1-5 (modeled by APS)
E2. SCR for NOX on Units 1-5 (modeled by EPA)
APS and EPA modeled baseline and control scenarios using
meteorological data from 2001-2003. The baseline scenario uses heat
input and pollutant emission rates based on the 24-hour average actual
emission rate from the highest emitting day of the meteorological
period. The modeling scenarios listed above in C1/C2 and E1/E2 are
based on the application of the same, or similar, control technologies
but are listed as distinct modeling scenarios because EPA used
different emission inputs than APS.
b. EPA Modifications to Emission Rate Inputs
The Appendix Y BART Guidelines state that baseline heat input and
pollutant emission rates should be based on the 24-hour average actual
emission rate from the highest emitting day of the