National Emission Standards for Hazardous Air Pollutants: Ferroalloys Production, 60237-60291 [2014-23266]
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Vol. 79
Monday,
No. 193
October 6, 2014
Part II
Environmental Protection Agency
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40 CFR Part 63
National Emission Standards for Hazardous Air Pollutants: Ferroalloys
Production; Proposed Rule
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Federal Register / Vol. 79, No. 193 / Monday, October 6, 2014 / Proposed Rules
ENVIRONMENTAL PROTECTION
AGENCY
40 CFR Part 63
[EPA–HQ–OAR–2010–0895; FRL–9909–26–
OAR]
RIN 2060–AQ11
National Emission Standards for
Hazardous Air Pollutants: Ferroalloys
Production
Environmental Protection
Agency (EPA).
ACTION: Supplemental notice of
proposed rulemaking.
AGENCY:
This action supplements our
proposed amendments to the national
emission standards for hazardous air
pollutants (NESHAP) for the Ferroalloys
Production source category published in
the Federal Register on November 23,
2011. In that action, the Environmental
Protection Agency (EPA) proposed
amendments based on the initial
technology and residual risk reviews for
this source category. Today’s action
presents a revised technology review
and a revised residual risk review for
the Ferroalloys Production source
category and proposes revisions to the
standards based on those reviews. This
action also proposes new compliance
requirements to meet the revised
standards. This action would result in
significant environmental
improvements through the reduction of
fugitive manganese emissions and
through more stringent emission limits
for several processes.
DATES: Comments. Comments must be
received on or before November 20,
2014. A copy of comments on the
information collection provisions
should be submitted to the Office of
Management and Budget (OMB) on or
before November 5, 2014.
Public Hearing. If anyone contacts the
EPA requesting a public hearing by
October 14, 2014 the EPA will hold a
public hearing on October 21, 2014 from
1:00 p.m. [Eastern Standard Time] to
8:00 p.m. [Eastern Standard Time] in
Marietta, Ohio. If the EPA holds a
public hearing, the EPA will keep the
record of the hearing open for 30 days
after completion of the hearing to
provide an opportunity for submission
of rebuttal and supplementary
information.
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SUMMARY:
Comments. Submit your
comments, identified by Docket ID No.
EPA–HQ–OAR–2010–0895, by one of
the following methods:
• Federal eRulemaking Portal:
ADDRESSES:
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https://www.regulations.gov. Follow
the online instructions for submitting
comments.
• Email: A-and-R-Docket@epa.gov.
Include ‘‘Attention Docket ID No. EPA–
HQ–OAR–2010–0895’’ in the subject
line of the message.
• Fax: (202) 566–9744. Attention
Docket ID Number EPA–HQ–OAR–
2010–0895.
• Mail: Environmental Protection
Agency, EPA Docket Center (EPA/DC),
Mail Code 28221T, Attention Docket ID
No. EPA–HQ–OAR–2010–0895, 1200
Pennsylvania Avenue NW., Washington,
DC 20460. Please include a total of two
copies. In addition, please mail a copy
of your comments on the information
collection provisions to the Office of
Information and Regulatory Affairs,
Office of Management and Budget
(OMB), Attn: Desk Officer for EPA, 725
17th Street NW., Washington, DC 20503.
• Hand/Courier Delivery: EPA Docket
Center, Room 3334, EPA WJC West
Building, 1301 Constitution Avenue
NW., Washington, DC 20004, Attention
Docket ID No. EPA–HQ–OAR–2010–
0895. Such deliveries are only accepted
during the Docket’s normal hours of
operation, and special arrangements
should be made for deliveries of boxed
information.
Instructions. Direct your comments to
Docket ID No. EPA–HQ–OAR–2010–
0895. The EPA’s policy is that all
comments received 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
information claimed to be confidential
business information (CBI) or other
information whose disclosure is
restricted by statute. Do not submit
information that you consider to be CBI
or otherwise protected through
www.regulations.gov or email. The
https://www.regulations.gov Web site is
an ‘‘anonymous access’’ system, which
means the EPA will not know your
identity or contact information unless
you provide it in the body of your
comment. If you send an email
comment directly to the EPA without
going through https://
www.regulations.gov, your email
address will be automatically captured
and included as part of the comment
that is placed in the public docket and
made available on the Internet. If you
submit an electronic comment, the EPA
recommends that you include your
name and other contact information in
the body of your comment and with any
disk or CD–ROM you submit. If the EPA
cannot read your comment due to
technical difficulties and cannot contact
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you for clarification, the EPA may not
be able to consider your comment.
Electronic files should not include
special characters or any form of
encryption and be free of any defects or
viruses. For additional information
about the EPA’s public docket, visit the
EPA Docket Center homepage at:
https://www.epa.gov/dockets.
Docket. The EPA has established a
docket for this rulemaking under Docket
ID Number EPA–HQ–OAR–2010–0895.
All documents in the docket are listed
in the regulations.gov index. Although
listed in the index, some information is
not publicly available, e.g., CBI or other
information whose disclosure is
restricted by statute. Certain other
material, such as copyrighted material,
is not placed on the Internet and will be
publicly available only in hard copy.
Publicly available docket materials are
available either electronically in
regulations.gov or in hard copy at the
EPA Docket Center, EPA WJC West
Building, Room 3334, 1301 Constitution
Ave., NW., Washington, DC. The Public
Reading Room is open from 8:30 a.m. to
4:30 p.m., Monday through Friday,
excluding legal holidays. The telephone
number for the Public Reading Room is
(202) 566–1744, and the telephone
number for the EPA Docket Center is
(202) 566–1742.
Public Hearing. If requested, we will
hold a public hearing on October 21,
2014, from 1:00 p.m. [Eastern Standard
Time] to 8:00 p.m. [Eastern Standard
Time] in Marietta, Ohio. There will be
a dinner break from 5:00 p.m. [Eastern
Standard Time] until 6:00 p.m. [Eastern
Standard Time]. Please contact Ms.
Virginia Hunt of the Sector Policies and
Programs Division (E143–01), Office of
Air Quality Planning and Standards,
Environmental Protection Agency,
Research Triangle Park, NC 27711;
telephone number: 919–541–0832;
email address: hunt.virginia@epa.gov; to
register to speak at the hearing or to
inquire as to whether or not a hearing
will be held. The last day to pre-register
in advance to speak at the hearing will
be October 20, 2014. Additionally,
requests to speak will be taken the day
of the hearing at the hearing registration
desk, although preferences on speaking
times may not be able to be fulfilled. If
you require the service of a translator or
special accommodations such as audio
description, please let us know at the
time of registration. If you require an
accommodation we ask that you preregister for the hearing, as we may not
be able to arrange such accommodations
without advance notice. The hearing
will provide interested parties the
opportunity to present data, views or
arguments concerning the proposed
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action. The EPA will make every effort
to accommodate all speakers who arrive
and register.
For
questions about this proposed action,
contact Mr. Phil Mulrine, Sector
Policies and Programs Division (D243–
02), Office of Air Quality Planning and
Standards, Environmental Protection
Agency, Research Triangle Park, NC
27711; telephone (919) 541–5289; fax
number: (919) 541–3207; and email
address: mulrine.phil@epa.gov. For
specific information regarding the risk
modeling methodology, contact Ms.
Darcie Smith, Health and
Environmental Impacts Division (C539–
02), Office of Air Quality Planning and
Standards, U.S. Environmental
Protection Agency, Research Triangle
Park, NC 27711; telephone number:
(919) 541–2076; fax number: (919) 541–
2076; and email address: smith.darcie@
epa.gov. For information about the
applicability of the National Emissions
Standards for Hazardous Air Pollutants
(NESHAP) to a particular entity, contact
Cary Secrest, Office of Enforcement and
Compliance Assurance (OECA),
telephone number: (202) 564–8661 and
email address: seacrest.cary@epa.gov.
FOR FURTHER INFORMATION CONTACT:
SUPPLEMENTARY INFORMATION:
Preamble Acronyms and Abbreviations
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We use multiple acronyms and terms
in this preamble. While this list may not
be exhaustive, to ease the reading of this
preamble and for reference purposes,
the EPA defines the following terms and
acronyms here:
AEGL—acute exposure guideline levels
AERMOD—air dispersion model used by the
HEM–3 model
ATSDR—Agency for Toxic Substances and
Disease Registry
BLDS—bag leak detection system
BTF—Beyond the Floor
CAA—Clean Air Act
CalEPA—California EPA
CBI—Confidential Business Information
CFR—Code of Federal Regulations
EJ—environmental justice
EPA—Environmental Protection Agency
ERPG—Emergency Response Planning
Guidelines
ERT—Electronic Reporting Tool
FR—Federal Register
HAP—hazardous air pollutants
HCl—hydrochloric acid
HEM–3—Human Exposure Model, Version
1.1.0
HI—Hazard Index
HQ—Hazard Quotient
ICR—Information Collection Request
IRIS—Integrated Risk Information System
km—kilometer
LOAEL—lowest-observed-adverse-effect level
MACT—maximum achievable control
technology
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MACT Code—Code within the National
Emissions Inventory used to identify
processes included in a source category
mg/dscm—milligrams per dry standard cubic
meter
mg/kg-day—milligrams per kilogram-day
mg/m3—milligrams per cubic meter
MIR—maximum individual risk
MRL—Minimal Risk Level
NAAQS—National Ambient Air Quality
Standards
NAICS—North American Industry
Classification System
NAS—National Academy of Sciences
NATA—National Air Toxics Assessment
NESHAP—National Emissions Standards for
Hazardous Air Pollutants
NOAEL—no-observed-adverse-effect level
NRC—National Research Council
NTTAA—National Technology Transfer and
Advancement Act
OAQPS—Office of Air Quality Planning and
Standards
OECA—Office of Enforcement and
Compliance Assurance
OMB—Office of Management and Budget
PAH—polycyclic aromatic hydrocarbons
PB–HAP—hazardous air pollutants known to
be persistent and bio-accumulative in the
environment
PEL—probable effect level
PM—particulate matter
POM—polycyclic organic matter
ppm—parts per million
RDL—representative method detection level
REL—reference exposure level
RFA—Regulatory Flexibility Act
RfC—reference concentration
RfD—reference dose
RTR—residual risk and technology review
SAB—Science Advisory Board
SBA—Small Business Administration
SSM—startup, shutdown and malfunction
TOSHI—target organ-specific hazard index
TPY—tons per year
TRIM.FaTE—Total Risk Integrated
Methodology.Fate, Transport, and
Ecological Exposure model
TTN—Technology Transfer Network
UF—uncertainty factor
mg/dscm—micrograms per dry standard cubic
meter
mg/m3—micrograms per cubic meter
UMRA—Unfunded Mandates Reform Act
UPL—Upper Prediction Limit
URE—unit risk estimate
VCS—voluntary consensus standards
Organization of this Document. The
information in this preamble is
organized as follows:
I. General Information
A. Does this action apply to me?
B. Where can I get a copy of this document
and other related information?
C. What should I consider as I prepare my
comments for the EPA?
II. Background Information
A. What is the statutory authority for this
action?
B. What is this source category and how
does the current NESHAP regulate its
HAP emissions?
C. What is the history of the Ferroalloys
Production Risk and Technology
Review?
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D. What data collection activities were
conducted to support this action?
III. Analytical Procedures
A. For purposes of this supplemental
proposal, how did we estimate the postMACT risks posed by the Ferroalloys
Production Source Category?
B. How did we consider the risk results in
making decisions for this supplemental
proposal?
C. How did we perform the technology
review?
IV. Revised Analytical Results and Proposed
Decisions for the Ferroalloys Production
Source Category
A. What actions are we taking pursuant to
CAA sections 112(d)(2) and 112(d)(3)?
B. What are the results of the risk
assessment and analyses?
C. What are our proposed decisions
regarding risk acceptability, ample
margin of safety and adverse
environmental effects based on our
revised analyses?
D. What are the results and proposed
decisions based on our technology
review?
E. What other actions are we proposing?
F. What compliance dates are we
proposing?
V. Summary of the Revised Cost,
Environmental and Economic Impacts
A. What are the affected sources?
B. What are the air quality impacts?
C. What are the cost impacts?
D. What are the economic impacts?
E. What are the benefits?
VI. Request for Comments
VII. Submitting Data Corrections
VIII. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory
Planning and Review and Executive
Order 13563: Improving Regulation and
Regulatory Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
D. Unfunded Mandates Reform Act
E. Executive Order 13132: Federalism
F. Executive Order 13175: Consultation
and Coordination With Indian Tribal
Governments
G. Executive Order 13045: Protection of
Children From Environmental Health
Risks and Safety Risks
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
I. National Technology Transfer and
Advancement Act
J. Executive Order 12898: Federal Actions
To Address Environmental Justice in
Minority Populations and Low-Income
Populations
I. General Information
A. Does this action apply to me?
Table 1 of this preamble lists the
industrial source category that is the
subject of this supplemental proposal.
Table 1 is not intended to be exhaustive
but rather to provide a guide for readers
regarding the entities that this proposed
action is likely to affect. The proposed
standards, once finalized, will be
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directly applicable to the affected
sources. Federal, state, local and tribal
government agencies are not affected by
this proposed action. As defined in the
‘‘Initial List of Categories of Sources
Under Section 112(c)(1) of the Clean Air
Act Amendments of 1990’’ (see 57 FR
31576, July 16, 1992), the ‘‘Ferroalloys
Production’’ source category is any
facility engaged in producing ferroalloys
such as ferrosilicon, ferromanganese
and ferrochrome.1 The EPA redefined
the Ferroalloys Production source
category when it promulgated the 1999
Ferroalloys Production standard so that
it now includes only major sources that
produce products containing manganese
(Mn). (64 FR 27450, May 20, 1999.) The
1999 standard applies specifically to
two ferroalloy product types:
Ferromanganese and silicomanganese.
TABLE 1—NESHAP AND INDUSTRIAL SOURCE CATEGORIES AFFECTED BY THIS PROPOSED ACTION
NAICS code a
Source category
NESHAP
Ferroalloys Production ..............................................................
Ferroalloys Production .............................................................
a 2012
North American Industry Classification System
B. Where can I get a copy of this
document and other related
information?
In addition to being available in the
docket, an electronic copy of this action
is available on the Internet through the
EPA’s Technology Transfer Network
(TTN) Web site, a forum for information
and technology exchange in various
areas of air pollution control. Following
signature by the EPA Administrator, the
EPA will post a copy of this proposed
action at: https://www.epa.gov/ttn/atw/
ferropg.html. Following publication in
the Federal Register, the EPA will post
the Federal Register version of the
proposal and key technical documents
at this same Web site. Information on
the overall residual risk and technology
review program is available at the
following Web site: https://www.epa.gov/
ttn/atw/rrisk/rtrpg.html.
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C. What should I consider as I prepare
my comments for the EPA?
Submitting CBI. Do not submit
information containing CBI to the EPA
through https://www.regulations.gov or
email. Clearly mark the part or all of the
information that you claim to be CBI.
For CBI information on a disk or CD–
ROM that you mail to the EPA, mark the
outside of the disk or CD–ROM as CBI
and then identify electronically within
the disk or CD–ROM the specific
information that is claimed as CBI. In
addition to one complete version of the
comments that includes information
claimed as CBI, you must submit a copy
of the comments that does not contain
the information claimed as CBI for
inclusion in the public docket. If you
submit a CD–ROM or disk that does not
contain CBI, mark the outside of the
disk or CD–ROM clearly that it does not
contain CBI. Information not marked as
CBI will be included in the public
docket and the EPA’s electronic public
docket without prior notice. Information
marked as CBI will not be disclosed
except in accordance with procedures
set forth in 40 Code of Federal
Regulations (CFR) part 2. Send or
deliver information identified as CBI
only to the following address: Roberto
Morales, OAQPS Document Control
Officer (C404–02), OAQPS, U.S.
Environmental Protection Agency,
Research Triangle Park, North Carolina
27711, Attention Docket ID Number
EPA–HQ–OAR–2010–0895.
II. Background Information
A. What is the statutory authority for
this action?
Section 112 of the Clean Air Act
(CAA) establishes a two-stage regulatory
process to address emissions of
hazardous air pollutants (HAP) from
stationary sources. In the first stage,
after the EPA has identified categories of
sources emitting one or more of the HAP
listed in CAA section 112(b), CAA
section 112(d) requires us to promulgate
technology-based NESHAP for those
sources. ‘‘Major sources’’ are those that
emit or have the potential to emit 10
tons per year (tpy) or more of a single
HAP or 25 tpy or more of any
combination of HAP. For major sources,
the technology-based NESHAP must
reflect the maximum degree of emission
reductions of HAPs achievable (after
considering cost, energy requirements
and non-air quality health and
environmental impacts) and are
commonly referred to as maximum
achievable control technology (MACT)
standards.
MACT standards must reflect the
maximum degree of emissions reduction
achievable through the application of
measures, processes, methods, systems
or techniques, including, but not limited
to, measures that (1) reduce the volume
of or eliminate pollutants through
process changes, substitution of
materials or other modifications; (2)
enclose systems or processes to
eliminate emissions; (3) capture or treat
pollutants when released from a
process, stack, storage or fugitive
emissions point; (4) are design,
equipment, work practice or operational
standards (including requirements for
operator training or certification); or (5)
are a combination of the above. CAA
section 112(d)(2)(A)–(E). The MACT
standards may take the form of design,
equipment, work practice or operational
standards where the EPA first
determines either that (1) a pollutant
cannot be emitted through a conveyance
designed and constructed to emit or
capture the pollutant, or that any
requirement for, or use of, such a
conveyance would be inconsistent with
law; or (2) the application of
measurement methodology to a
particular class of sources is not
practicable due to technological and
economic limitations. CAA section
112(h)(1)–(2).
The MACT ‘‘floor’’ is the minimum
control level allowed for MACT
standards promulgated under CAA
section 112(d)(3) and may not be based
on cost considerations. For new sources,
the MACT floor cannot be less stringent
than the emissions control that is
achieved in practice by the bestcontrolled similar source. The MACT
floor for existing sources can be less
stringent than floors for new sources,
but not less stringent than the average
emissions limitation achieved by the
best-performing 12 percent of existing
sources in the category or subcategory
(or the best-performing five sources for
categories or subcategories with fewer
than 30 sources). In developing MACT
standards, the EPA must also consider
control options that are more stringent
than the floor. We may establish
standards more stringent than the floor
based on considerations of the cost of
achieving the emission reductions, any
1 U.S. EPA. Documentation for Developing the
Initial Source Category List—Final Report, EPA/
OAQPS, EPA–450/3–91–030, July, 1992.
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non-air quality health and
environmental impacts and energy
requirements.
The EPA is then required to review
these technology-based standards and
revise them ‘‘as necessary (taking into
account developments in practices,
processes, and control technologies)’’ no
less frequently than every eight years.
CAA section 112(d)(6). In conducting
this review, the EPA is not required to
recalculate the MACT floor. Natural
Resources Defense Council (NRDC) v.
EPA, 529 F.3d 1077, 1084 (D.C. Cir.
2008). Association of Battery Recyclers,
Inc. v. EPA, 716 F.3d 667 (D.C. Cir.
2013).
The second stage in standard-setting
focuses on reducing any remaining (i.e.,
‘‘residual’’) risk according to CAA
section 112(f). Section 112(f)(1) required
that the EPA prepare a report to
Congress discussing (among other
things) methods of calculating the risks
posed (or potentially posed) by sources
after implementation of the MACT
standards, the public health significance
of those risks and the EPA’s
recommendations as to legislation
regarding such remaining risk. The EPA
prepared and submitted the Residual
Risk Report to Congress, EPA–453/R–
99–001 (Risk Report) in March 1999.
CAA section 112(f)(2) then provides that
if Congress does not act on any
recommendation in the Risk Report, the
EPA must analyze and address residual
risk for each category or subcategory of
sources 8 years after promulgation of
such standards pursuant to CAA section
112(d).
Section 112(f)(2) of the CAA requires
the EPA to determine for source
categories subject to MACT standards
whether the emission standards provide
an ample margin of safety to protect
public health. Section 112(f)(2)(B) of the
CAA expressly preserves the EPA’s use
of the two-step process for developing
standards to address any residual risk
and the agency’s interpretation of
‘‘ample margin of safety’’ developed in
the National Emissions Standards for
Hazardous Air Pollutants: Benzene
Emissions From Maleic Anhydride
Plants, Ethylbenzene/Styrene Plants,
Benzene Storage Vessels, Benzene
Equipment Leaks, and Coke By-Product
Recovery Plants (Benzene NESHAP) (54
FR 38044, September 14, 1989). The
EPA notified Congress in the Risk
Report that the agency intended to use
the Benzene NESHAP approach in
making CAA section 112(f) residual risk
determinations (EPA–453/R–99–001,
p. ES–11). The EPA subsequently
adopted this approach in its residual
risk determinations and in a challenge
to the risk review for the Synthetic
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Organic Chemical Manufacturing source
category, the United States Court of
Appeals for the District of Columbia
Circuit upheld as reasonable the EPA’s
interpretation that subsection 112(f)(2)
incorporates the approach established in
the Benzene NESHAP. See NRDC v.
EPA, 529 F.3d 1077, 1083 (D.C. Cir.
2008) (‘‘[S]ubsection 112(f)(2)(B)
expressly incorporates the EPA’s
interpretation of the Clean Air Act from
the Benzene standard, complete with a
citation to the Federal Register.’’); see
also A Legislative History of the Clean
Air Act Amendments of 1990, vol. 1,
p. 877 (Senate debate on Conference
Report).
The first step in the process of
evaluating residual risk is the
determination of acceptable risk. If risks
are unacceptable, the EPA cannot
consider cost in identifying the
emissions standards necessary to bring
risks to an acceptable level. The second
step is the determination of whether
standards must be further revised in
order to provide an ample margin of
safety to protect public health. The
ample margin of safety is the level at
which the standards must be set, unless
an even more stringent standard is
necessary to prevent, taking into
consideration costs, energy, safety and
other relevant factors, an adverse
environmental effect.
1. Step 1—Determination of
Acceptability
The agency in the Benzene NESHAP
concluded that ‘‘the acceptability of risk
under section 112 is best judged on the
basis of a broad set of health risk
measures and information’’ and that the
‘‘judgment on acceptability cannot be
reduced to any single factor.’’ Benzene
NESHAP at 38046. The determination of
what represents an ‘‘acceptable’’ risk is
based on a judgment of ‘‘what risks are
acceptable in the world in which we
live’’ (Risk Report at 178, quoting NRDC
v. EPA, 824 F. 2d 1146, 1165 (D.C. Cir.
1987) (en banc) (‘‘Vinyl Chloride’’),
recognizing that our world is not riskfree.
In the Benzene NESHAP, we stated
that ‘‘EPA will generally presume that if
the risk to [the maximum exposed]
individual is no higher than
approximately one in 10 thousand, that
risk level is considered acceptable.’’ 54
FR at 38045, September 14, 1989. We
discussed the maximum individual
lifetime cancer risk (or maximum
individual risk (MIR)) as being ‘‘the
estimated risk that a person living near
a plant would have if he or she were
exposed to the maximum pollutant
concentrations for 70 years.’’ Id. We
explained that this measure of risk ‘‘is
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an estimate of the upper bound of risk
based on conservative assumptions,
such as continuous exposure for 24
hours per day for 70 years.’’ Id. We
acknowledged that maximum
individual lifetime cancer risk ‘‘does not
necessarily reflect the true risk, but
displays a conservative risk level which
is an upper-bound that is unlikely to be
exceeded.’’ Id.
Understanding that there are both
benefits and limitations to using the
MIR as a metric for determining
acceptability, we acknowledged in the
Benzene NESHAP that ‘‘consideration of
maximum individual risk * * * must
take into account the strengths and
weaknesses of this measure of risk.’’ Id.
Consequently, the presumptive risk
level of 100-in-1 million (1-in-10
thousand) provides a benchmark for
judging the acceptability of maximum
individual lifetime cancer risk, but does
not constitute a rigid line for making
that determination. Further, in the
Benzene NESHAP, we noted that:
[p]articular attention will also be accorded to
the weight of evidence presented in the risk
assessment of potential carcinogenicity or
other health effects of a pollutant. While the
same numerical risk may be estimated for an
exposure to a pollutant judged to be a known
human carcinogen, and to a pollutant
considered a possible human carcinogen
based on limited animal test data, the same
weight cannot be accorded to both estimates.
In considering the potential public health
effects of the two pollutants, the Agency’s
judgment on acceptability, including the
MIR, will be influenced by the greater weight
of evidence for the known human
carcinogen.
Id. at 38046. The agency also explained
in the Benzene NESHAP that:
[i]n establishing a presumption for MIR,
rather than a rigid line for acceptability, the
Agency intends to weigh it with a series of
other health measures and factors. These
include the overall incidence of cancer or
other serious health effects within the
exposed population, the numbers of persons
exposed within each individual lifetime risk
range and associated incidence within,
typically, a 50 km exposure radius around
facilities, the science policy assumptions and
estimation uncertainties associated with the
risk measures, weight of the scientific
evidence for human health effects, other
quantified or unquantified health effects,
effects due to co-location of facilities, and coemission of pollutants.
Id. at 38045. In some cases, these health
measures and factors taken together may
provide a more realistic description of
the magnitude of risk in the exposed
population than that provided by
maximum individual lifetime cancer
risk alone.
As noted earlier, in NRDC v. EPA, the
court held that section 112(f)(2)
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‘‘incorporates the EPA’s interpretation
of the Clean Air Act from the Benzene
Standard.’’ The court further held that
Congress’ incorporation of the Benzene
standard applies equally to carcinogens
and non-carcinogens. 529 F.3d at 1081–
82. Accordingly, we also consider noncancer risk metrics in our determination
of risk acceptability and ample margin
of safety.
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2. Step 2—Determination of Ample
Margin of Safety
CAA section 112(f)(2) requires the
EPA to determine, for source categories
subject to MACT standards, whether
those standards provide an ample
margin of safety to protect public health.
As explained in the Benzene NESHAP,
‘‘the second step of the inquiry,
determining an ‘ample margin of safety,’
again includes consideration of all of
the health factors, and whether to
reduce the risks even further. . . .
Beyond that information, additional
factors relating to the appropriate level
of control will also be considered,
including costs and economic impacts
of controls, technological feasibility,
uncertainties and any other relevant
factors. Considering all of these factors,
the agency will establish the standard at
a level that provides an ample margin of
safety to protect the public health, as
required by section 112.’’ 54 FR at
38046, September 14, 1989.
According to CAA section
112(f)(2)(A), if the MACT standards for
HAP ‘‘classified as a known, probable,
or possible human carcinogen do not
reduce lifetime excess cancer risks to
the individual most exposed to
emissions from a source in the category
or subcategory to less than one in one
million,’’ the EPA must promulgate
residual risk standards for the source
category (or subcategory), as necessary
to provide an ample margin of safety to
protect public health. In doing so, the
EPA may adopt standards equal to
existing MACT standards if the EPA
determines that the existing standards
(i.e., the MACT standards) are
sufficiently protective. NRDC v. EPA,
529 F.3d 1077, 1083 (D.C. Cir. 2008) (‘‘If
EPA determines that the existing
technology-based standards provide an
‘ample margin of safety,’ then the
Agency is free to readopt those
standards during the residual risk
rulemaking.’’) The EPA must also adopt
more stringent standards, if necessary,
to prevent an adverse environmental
effect,2 but must consider cost, energy,
2 ‘‘Adverse environmental effect’’ is defined as
any significant and widespread adverse effect,
which may be reasonably anticipated to wildlife,
aquatic life or natural resources, including adverse
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safety and other relevant factors in
doing so.
The CAA does not specifically define
the terms ‘‘individual most exposed,’’
‘‘acceptable level’’ and ‘‘ample margin
of safety.’’ In the Benzene NESHAP, 54
FR at 38044–38045, September 14, 1989,
we stated as an overall objective:
In protecting public health with an ample
margin of safety under section 112, EPA
strives to provide maximum feasible
protection against risks to health from
hazardous air pollutants by (1) protecting the
greatest number of persons possible to an
individual lifetime risk level no higher than
approximately 1-in-1 million and (2) limiting
to no higher than approximately 1-in-10
thousand [i.e., 100-in-1 million] the
estimated risk that a person living near a
plant would have if he or she were exposed
to the maximum pollutant concentrations for
70 years.
The agency further stated that ‘‘[t]he
EPA also considers incidence (the
number of persons estimated to suffer
cancer or other serious health effects as
a result of exposure to a pollutant) to be
an important measure of the health risk
to the exposed population. Incidence
measures the extent of health risks to
the exposed population as a whole, by
providing an estimate of the occurrence
of cancer or other serious health effects
in the exposed population.’’ Id. at
38045.
In the ample margin of safety decision
process, the agency again considers all
of the health risks and other health
information considered in the first step,
including the incremental risk reduction
associated with standards more
stringent than the MACT standard or a
more stringent standard that EPA has
determined is necessary to ensure risk is
acceptable. In the ample margin of
safety analysis, the agency considers
additional factors, including costs and
economic impacts of controls,
technological feasibility, uncertainties
and any other relevant factors.
Considering all of these factors, the
agency will establish the standard at a
level that provides an ample margin of
safety to protect the public health, as
required by CAA section 112(f). 54 FR
38046, September 14, 1989.
B. What is this source category and how
does the current NESHAP regulate its
HAP emissions?
Ferroalloys are alloys of iron in which
one or more chemical elements (such as
chromium, manganese and silicon) are
added into molten metal. Ferroalloys are
consumed primarily in iron and steel
making and are used to produce steel
impacts on populations of endangered or threatened
species or significant degradation of environmental
qualities over broad areas. CAA section 112(a)(7).
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and cast iron products with enhanced or
special properties. The ferroalloys
products that are the focus of the
NESHAP are ferromanganese (FeMn)
and silicomanganese (SiMn), which are
produced by two facilities in the United
States. One facility (Eramet) is located
in Marietta, Ohio and produces both
FeMn and SiMn. The other plant
(Felman) is located in Letart, West
Virginia and produces only SiMn.
Ferroalloys within the scope of this
source category are produced using
submerged electric arc furnaces, which
are furnaces in which the electrodes are
submerged into the charge. The
submerged arc process is a reduction
smelting operation. The reactants
consist of metallic ores (ferrous oxides,
silicon oxides, manganese oxides, etc.)
and a carbon-source reducing agent,
usually in the form of coke, charcoal,
high- and low-volatility coal, or wood
chips. Raw materials are crushed and
sized and then conveyed to a mix house
for weighing and blending. Conveyors,
buckets, skip hoists or cars transport the
processed material to hoppers above the
furnace. The mix is gravity-fed through
a feed chute either continuously or
intermittently, as needed. At high
temperatures in the reaction zone, the
carbon source reacts with metal oxides
to form carbon monoxide and to reduce
the ores to base metal.3 The molten
material (product and slag) is tapped
from the furnace, sometimes subject to
post-furnace refining and poured into
casting beds on the furnace room floor.
Once the material hardens, it is
transported to product crushing and
sizing systems and packaged for
transport to the customer.
The NESHAP for Ferroalloys
Production: Ferromanganese and
Silicomanganese were promulgated on
May 20, 1999 (64 FR 27450) and
codified at 40 CFR part 63, subpart
XXX.4 The 1999 NESHAP applies to all
new and existing ferroalloys production
facilities that manufacture
ferromanganese or silicomanganese and
are major sources or are co-located at
major sources of HAP emissions.
The existing Ferroalloys Production
NESHAP rule applies to process
emissions from the submerged arc
furnaces, the metal oxygen refining
process and the product crushing
equipment; process fugitive emissions
from the furnace; and outdoor fugitive
dust emissions sources such as
3 EPA.
AP–42, 12.4. Ferroalloy Production. 10/86.
emission limits were revised on March 22,
2001 (66 FR 16024) in response to a petition for
reconsideration submitted to the EPA following
promulgation of the final rule and a petition for
review filed in the U.S. Court of Appeals for the
District of Columbia Circuit.
4 The
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roadways, yard areas and outdoor
material storage and transfer operations.
For the electric (submerged) arc furnace
process, the NESHAP specifies
numerical emissions limits for
particulate matter (as a surrogate for
non-mercury (or particulate) metal
HAP). The NESHAP also includes
emissions limits for particulate matter
(again as a surrogate for particulate
metal HAP) for process emissions from
the metal oxygen refining process and
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product crushing and screening
equipment. Table 2 is a summary of the
applicable limits in the existing Subpart
XXX.
TABLE 2—EMISSION LIMITS IN SUBPART XXX
New or reconstructed or
existing source
Affected source
Applicable PM
emission standards
New or reconstructed ...............
Submerged arc furnace ..................................
Existing .....................................
Open submerged arc furnace producing
ferromanganese and operating at a furnace
power input of 22 megawatts (MW) or less.
Open submerged arc furnace producing
ferromanganese and operating at a furnace
power input greater than 22 MW.
Open submerged arc furnace producing
silicomanganese and operating at a furnace power input greater than 25 MW.
Open submerged arc furnace producing
silicomanganese and operating at a furnace power input of 25 MW or less.
Semi-sealed submerged arc furnace (primary, tapping and vent stacks) producing
ferromanganese.
Metal oxygen refining process ........................
Individual equipment associated with the
product crushing and screening operation.
Individual equipment associated with the
product crushing and screening operation.
0.23 kilograms per hour per
megawatt (kg/hr/MW) (0.51
pounds per hour per megawatt (lb/hr/MW) or 35 milligrams per dry standard
cubic meter (mg/dscm)
(0.015 grains per dry standard cubic foot (gr/dscf).
9.8 kg/hr (21.7 lb/hr) ...............
40 CFR 63.1652(b)(1)
13.5 kg/hr (29.8 lb/hr) .............
40 CFR 63.1652(b)(2)
16.3 kg/hr (35.9 lb/hr) .............
40 CFR 63.1652(b)(3)
12.3 kg/hr (27.2 lb/hr) .............
40 CFR 63.1652(b)(4)
11.2 kg/hr (24.7 lb/hr) .............
40 CFR 63.1652(c)
69 mg/dscm (0.03 gr/dscf) .....
50 mg/dscm (0.022 gr/dscf) ...
40 CFR 63.1652(d)
40 CFR 63.1652(e)(1)
69 mg/dscm (0.03 gr/dscf) .....
40 CFR 63.1652(e)(2)
Existing .....................................
Existing .....................................
Existing .....................................
Existing .....................................
New, reconstructed, or existing
New or reconstructed ...............
tkelley on DSK3SPTVN1PROD with PROPOSALS2
Existing .....................................
The 1999 NESHAP established a
building opacity limit of 20 percent that
is measured during the required furnace
control device performance test. The
rule provides an excursion limit of 60
percent opacity for one 6-minute period
during the performance test. The
opacity observation is focused only on
emissions exiting the shop due solely to
operations of any affected submerged
arc furnace. In addition, blowing taps,
poling and oxygen lancing of the tap
hole, burndowns associated with
electrode measurements and
maintenance activities associated with
submerged arc furnaces and casting
operations are exempt from the opacity
standards specified in § 63.1653.
For outdoor fugitive dust sources, as
defined in § 63.1652, the 1999 NESHAP
requires that plants prepare and operate
according to an outdoor fugitive dust
control plan that describes in detail the
measures that will be put in place to
control outdoor fugitive dust emissions
from the individual outdoor fugitive
dust sources at the facility. The owner
or operator must submit a copy of the
outdoor fugitive dust control plan to the
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designated permitting authority on or
before the applicable compliance date.
C. What is the history of the Ferroalloys
Production Risk and Technology
Review?
Pursuant to section 112(f)(2) of the
CAA, we first evaluated the residual risk
associated with the Ferroalloys
Production NESHAP in 2011. We also
conducted a technology review, as
required by section 112(d)(6) of the
CAA. Finally, we also reviewed the
1999 MACT rule to determine if other
amendments were appropriate. Based
on the results of that previous residual
risk and technology review (RTR) and
the MACT rule review, we proposed
amendments to subpart XXX on
November 23, 2011 (76 FR 72508)
(referred to from here on as the 2011
proposal in the remainder of this FR
notice). The proposed amendments in
the 2011 proposal which we are
revisiting in today’s supplemental
proposal include the following:
• Revisions to particulate matter (PM)
standards for electric arc furnaces and
local ventilation control devices;
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Subpart XXX
reference
40 CFR 63.1652(a)(1) and
(a)(2)
• emission limits for mercury,
polycyclic aromatic hydrocarbons
(PAHs), and hydrochloric acid (HCl);
• proposed requirements to control
process fugitive emissions based on fullbuilding enclosure with negative
pressure, or fenceline monitoring as an
alternative;
• a provision for emissions averaging;
• amendments to the monitoring,
notification, recordkeeping and testing
requirements; and
• proposed provisions establishing an
affirmative defense to civil penalties for
violations caused by malfunctions.
The comment period for the 2011
proposal opened on November 23, 2011,
and ended on January 31, 2012. We
received significant comments from
industry representatives, environmental
organizations local community groups.
We also met with stakeholders (from
industry, community groups and
environmental organizations) after
proposal to further discuss their
comments, concerns and related issues.
After reviewing the comments and after
consideration of additional data and
information received since the 2011
proposal, we determined it is
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appropriate to revise some of our
analyses and publish a supplemental
proposal. Therefore, in today’s Notice of
Supplemental Proposed Rulemaking we
present revised analyses, and based on
those analyses we are proposing revised
amendments for the items listed above
to allow the public an opportunity to
review and comment on these revised
analyses and revised proposed
amendments. In addition, we have
reevaluated the proposed affirmative
defense provisions in light of a recent
court decision vacating an affirmative
defense in one of the EPA’s Section
112(d) regulations. NRDC v. EPA, 749
F.3d 1055 (D.C. Cir., 2014) (vacating
affirmative defense provisions in
Section 112(d) rule establishing
emission standards for Portland cement
kilns). In this supplemental proposal,
we are withdrawing our 2011 proposal
to include an affirmative defense
provision in this regulation.
However, we also proposed other
requirements in the 2011 proposal
(listed below) for which we have made
no revisions to the analyses, we are not
proposing any changes and are not
reopening for public comment. The
other requirements that we proposed in
the 2011 proposal, for which we are not
re-opening for comment, are the
following:
• PM standards for metal oxygen
refining processes and crushing and
screening operations;
• emissions limits for formaldehyde;
• elimination of SSM exemptions;
and
• electronic reporting.
We will address the comments we
received on these other proposed
requirements during the public
comment period for the 2011 proposal
at the time we take final action.
In the 2011 proposal, we also
included information about several
ATSDR health consultations and a study
(Kim et al.) that had been conducted in
the Marietta area. We note that the Kim
et al. study was included in the 2012
ATSDR review of manganese. Since the
2011 proposal, additional studies on the
potential toxicity of manganese have
been published. These studies add to
the literature regarding potential health
effects from exposure to manganese and
will be included, along with the
complete body of scientific evidence, in
future reviews of manganese toxicity.
D. What data collection activities were
conducted to support this action?
Commenters on the 2011 proposal
expressed concern that the data set used
in the risk assessment did not
adequately reflect current operations at
the plants. In response to these
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comments, we worked with the facilities
to address these concerns and we
obtained a significant amount of new
data in order to establish a more robust
dataset than the dataset we had for the
2011 proposal. Specifically, the plants
provided data collected during their
2011 and 2012 compliance tests and, in
response to an Information Collection
Request (ICR) from the EPA in
December 2012, they conducted more
tests in the spring of 2013. This
combined testing effort provided the
following data:
• Additional stack test data for
arsenic, cadmium, chromium, lead,
manganese, mercury, nickel, HCl,
formaldehyde, PAH, polychlorinated
biphenyls (PCB) and dioxins/furans;
• Test data collected using updated,
state-of-the-art test methods and
procedures;
• Hazardous air pollutant (HAP) test
data for all operational furnaces;
• Test data obtained during different
seasonal conditions (i.e., spring and
fall);
• Test data for both products
(ferromanganese and silicomanganese)
for both furnaces at Eramet (Felman
only produces silicomanganese).
With the new data, we no longer have
to extrapolate HAP emissions from a
ratio of PM to HAP emissions from just
one or two tested furnaces. We are also
using test data collected using state-ofthe-art test methods that provide better
QA/QC of the test results. For mercury,
test data were collected for the
supplemental proposal using EPA
Method 30B, which requires paired
samples collected for each test run, in
addition to a spiked sample during the
3-run test. Test data for PAH were
collected using CARB 429, which
provides greater sensitivity, precision
and identification of individual PAH
compounds as compared to Method
0010 which was used for previous tests.
We also received PCB and dioxin/furan
test data that were collected using CARB
428, which uses high resolution
instruments and provides a specific
procedure for measuring PCBs in
addition to dioxin/furans.
The data described above, which we
received prior to summer 2014, were
incorporated into our risk assessment,
technology review and other MACT
analyses presented in this Notice.
However, we recently received
additional test reports and data for PAH,
mercury and PM emissions from one of
the furnaces at Eramet (Furnace #12).
We also received additional data on PM
emissions for Furnaces #1 and #12 at
Eramet and for the tapping baghouse at
Eramet. We have not yet completed our
technical review of these new data and
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we were not able to incorporate these
new data (on PAHs, PM, or Hg) into our
RTR or MACT analyses in time for the
publication of today’s Notice.5 6 These
test reports (which we received on
August 19, 2014) are available in the
docket for today’s action. We have not
yet determined the technical viability of
these data or how these data would
affect the RTR and MACT analyses.
Nevertheless, we seek comment on
these new data and how these data
would impact our analyses and results
presented in today’s Notice. Based on
comments and information that we
receive in response to this supplemental
proposal, and after we complete our
review of these data, we will consider
these data as appropriate as we develop
the final rule.
Commenters also expressed concern
that the estimated cost and operational
impacts of the 2011 proposed process
fugitive standards based on use of a total
building enclosure requirement were
significantly underestimated. In their
comments both companies submitted
substantial additional information and
estimates regarding the elements, costs
and impacts involved with constructing
and operating a full building enclosure
for their facilities. We also received
comments saying that full-enclosure
with negative pressure can lead to
worker safety and health issues related
to indoor air quality if the systems are
not designed and operated appropriately
to provide sufficient air exchanges and
air conditioning in the work space.
Furthermore, in their comments and in
subsequent meetings and other
communications, the companies also
provided design and cost information
for an alternative approach to
substantially reduce fugitive emissions
based on enhanced local capture and
control of these emissions at each plant.
In the summer of 2012 and fall of 2013,
both plants submitted updated
enhanced capture plans and cost
estimates to implement those plans. We
also consulted with outside ventilation
experts and control equipment vendors
to re-evaluate the costs of process
fugitive capture as well as costs of other
control measures such as activated
carbon injection. We also gathered a
5 Emission Measurement Summary Report.
Furnace No. 12 Scrubber. PAHs and Mercury.
Eramet Marietta, Inc. Marietta, OH. Prepared for:
Eramet Marietta, Inc. Marietta, Ohio. Prepared by
Environmental Quality Management, Inc. 1800
Carillon Boulevard, Cincinnati, Ohio 45240.
January 2013.
6 Emission Measurement Summary Report.
Filterable Particulate Matter Furnaces 1 and 12.
Eramet Marietta, Inc. Marietta, OH. Prepared for:
Eramet Marietta, Inc. Marietta, Ohio 45750–0299
Prepared by: Environmental Quality Management,
Inc., Cincinnati, Ohio 45240. April 2014.
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substantial amount of opacity data from
both facilities and collected additional
information regarding the processes,
control technologies and modeling
input parameters (such as stack release
heights and fugitive emissions release
characteristics). We reviewed and
evaluated these data and information
provided by the facilities, the
ventilation experts and vendors, and
revised our analyses accordingly.
III. Analytical Procedures
tkelley on DSK3SPTVN1PROD with PROPOSALS2
A. For purposes of this supplemental
proposal, how did we estimate the postMACT risks posed by the Ferroalloys
Production Source Category?
The EPA conducted a risk assessment
that provides estimates of the MIR
posed by the HAP emissions from each
source in the source category, the
hazard index (HI) for chronic exposures
to HAP with the potential to cause
noncancer health effects and the hazard
quotient (HQ) for acute exposures to
HAP with the potential to cause
noncancer health effects. The
assessment also provides estimates of
the distribution of cancer risks within
the exposed populations, cancer
incidence and an evaluation of the
potential for adverse environmental
effects. The risk assessment consisted of
eight primary steps, as discussed in
detail in the 2011 proposal. The docket
for this rulemaking contains the
following document which provides
more information on the risk assessment
inputs and models: Residual Risk
Assessment for the Ferroalloys
Production Source Category in Support
of the September 2014 Supplemental
Proposal (risk assessment document).
The methods used to assess risks (as
described in the eight primary steps
below) are consistent with those peerreviewed by a panel of the EPA’s
Science Advisory Board (SAB) in 2009
and described in their peer review
report issued in 2010; 7 they are also
consistent with the key
recommendations contained in that
report.
1. How did we estimate actual
emissions and identify the emissions
release characteristics?
As explained previously, the revised
data set for the ferroalloys production
source category, derived from the two
existing ferromanganese and
silicomanganese production facilities,
constitutes the basis for the revised risk
7 U.S. EPA SAB. Risk and Technology Review
(RTR) Risk Assessment Methodologies: For Review
by the EPA’s Science Advisory Board with Case
Studies—MACT I Petroleum Refining Sources and
Portland Cement Manufacturing, May 2010.
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assessment. We estimated the
magnitude of emissions using emissions
test data collected through ICRs along
with additional data submitted
voluntarily by the companies. We also
collected information regarding
emissions release characteristics such as
stack heights, stack gas exit velocities,
stack temperatures and source locations.
In addition to the quality assurance
(QA) of the source data for the facilities
contained in the data set, we also
checked the coordinates of every
emission source in the data set through
visual observations using tools such as
GoogleEarth and ArcView. Where
coordinates were found to be incorrect,
we identified and corrected them to the
extent possible. We also performed a
QA assessment of the emissions data
and release characteristics to ensure the
data were reliable and that there were
no outliers. The emissions data and the
methods used to estimate emissions
from all the various emissions sources
are described in more detail in the
technical document: Revised
Development of the RTR Emissions
Dataset for the Ferroalloys Production
Source Category for the 2014
Supplemental Proposal, which is
available in the docket for this action.
2. How did we estimate MACTallowable emissions?
The available emissions data in the
RTR emissions dataset include estimates
of the mass of HAP emitted during the
specified annual time period. In some
cases, these ‘‘actual’’ emission levels are
lower than the emission levels required
to comply with the MACT standards.
The emissions level allowed to be
emitted by the MACT standards is
referred to as the ‘‘MACT-allowable’’
emissions level. We discussed the use of
both MACT-allowable and actual
emissions in the final Coke Oven
Batteries residual risk rule (70 FR
19998–19999, April 15, 2005) and in the
proposed and final Hazardous Organic
NESHAP residual risk rules (71 FR
34428, June 14, 2006, and 71 FR 76609,
December 21, 2006, respectively). In
those previous actions, we noted that
assessing the risks at the MACTallowable level is inherently reasonable
since these risks reflect the maximum
level facilities could emit and still
comply with national emission
standards. We also explained that it is
reasonable to consider actual emissions,
where such data are available, in both
steps of the risk analysis, in accordance
with the Benzene NESHAP approach.
(54 FR 38044, September 14, 1989.)
For this supplemental proposal, we
evaluated allowable stack emissions
based on the level of control required by
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the 1999 MACT standards. We also
evaluated the level of reported actual
emissions and available information on
the level of control achieved by the
emissions controls in use. Further
explanation is provided in the technical
document: Revised Development of the
RTR Emissions Dataset for the
Ferroalloys Production Source Category
for the 2014 Supplemental Proposal,
which is available in the docket.
3. How did we conduct dispersion
modeling, determine inhalation
exposures and estimate individual and
population inhalation risks?
Both long-term and short-term
inhalation exposure concentrations and
health risks from the source category
addressed in this proposal were
estimated using the Human Exposure
Model (Community and Sector HEM–3
version 1.1.0). The HEM–3 performs
three primary risk assessment activities:
(1) Conducting dispersion modeling to
estimate the concentrations of HAP in
ambient air, (2) estimating long-term
and short-term inhalation exposures to
individuals residing within 50
kilometers (km) of the modeled
sources 8, and (3) estimating individual
and population-level inhalation risks
using the exposure estimates and
quantitative dose-response information.
The air dispersion model used by the
HEM–3 model (AERMOD) is one of the
EPA’s preferred models for assessing
pollutant concentrations from industrial
facilities.9 To perform the dispersion
modeling and to develop the
preliminary risk estimates, HEM–3
draws on three data libraries. The first
is a library of meteorological data,
which is used for dispersion
calculations. This library includes 1
year (2011) of hourly surface and upper
air observations for more than 800
meteorological stations, selected to
provide coverage of the United States
and Puerto Rico. A second library of
United States Census Bureau census
block 10 internal point locations and
populations provides the basis of
human exposure calculations (U.S.
Census, 2010). In addition, for each
census block, the census library
includes the elevation and controlling
hill height, which are also used in
dispersion calculations. A third library
of pollutant unit risk factors and other
8 This metric comes from the Benzene NESHAP.
See 54 FR 38046.
9 U.S. EPA. Revision to the Guideline on Air
Quality Models: Adoption of a Preferred General
Purpose (Flat and Complex Terrain) Dispersion
Model and Other Revisions (70 FR 68218,
November 9, 2005).
10 A census block is the smallest geographic area
for which census statistics are tabulated.
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health benchmarks is used to estimate
health risks. These risk factors and
health benchmarks are the latest values
recommended by the EPA for HAP and
other toxic air pollutants. These values
are available at: https://www.epa.gov/ttn/
atw/toxsource/summary.html and are
discussed in more detail later in this
section.
In developing the risk assessment for
chronic exposures, we used the
estimated annual average ambient air
concentrations of each HAP emitted by
each source for which we have
emissions data in the source category.
The air concentrations at each nearby
census block centroid were used as a
surrogate for the chronic inhalation
exposure concentration for all the
people who reside in that census block.
We calculated the MIR for each facility
as the cancer risk associated with a
continuous lifetime (24 hours per day,
7 days per week, and 52 weeks per year
for a 70-year period) exposure to the
maximum concentration at the centroid
of inhabited census blocks. Individual
cancer risks were calculated by
multiplying the estimated lifetime
exposure to the ambient concentration
of each of the HAP (in micrograms per
cubic meter (mg/m3)) by its unit risk
estimate (URE). The URE is an upper
bound estimate of an individual’s
probability of contracting cancer over a
lifetime of exposure to a concentration
of 1 microgram of the pollutant per
cubic meter of air. For residual risk
assessments, we generally use URE
values from the EPA’s Integrated Risk
Information System (IRIS). For
carcinogenic pollutants without EPA
IRIS values, we look to other reputable
sources of cancer dose-response values,
often using California EPA (CalEPA)
URE values, where available. In cases
where new, scientifically credible dose
response values have been developed in
a manner consistent with the EPA
guidelines and have undergone a peer
review process similar to that used by
the EPA, we may use such doseresponse values in place of, or in
addition to, other values, if appropriate.
In the case of nickel compounds, to
provide a conservative estimate of
potential cancer risks, we used the IRIS
URE value for nickel subsulfide (which
is considered the most potent
carcinogen among all nickel
compounds) in the assessment for the
2011 proposed rule for ferroalloys
production. In the 2011 proposed rule,
the determination of the percent of
nickel subsulfide was considered a
major factor for estimating the risks of
cancer due to nickel-containing
emissions. Nickel speciation
information for some of the largest
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nickel-emitting sources (including oil
combustion, coal combustion and
others) suggested that at least 35 percent
of total nickel emissions may be soluble
compounds and that the cancer risk for
the mixture of inhaled nickel
compounds (based on nickel subsulfide
and representative of pure insoluble
crystalline nickel) was derived to reflect
the assumption that 65 percent of the
total mass of nickel may be
carcinogenic.
Based on consistent views of major
scientific bodies (i.e., National
Toxicology Program (NTP) in their 12th
Report of the Carcinogens (ROC) 11,
International Agency for Research on
Cancer (IARC) 12 and other international
agencies) 13 that consider all nickel
compounds to be carcinogenic, we
currently consider all nickel compounds
to have the potential of being
carcinogenic to humans. The 12th
Report of the Carcinogens states that the
‘‘combined results of epidemiological
studies, mechanistic studies, and
carcinogenic studies in rodents support
the concept that nickel compounds
generate nickel ions in target cells at
sites critical for carcinogenesis, thus
allowing consideration and evaluation
of these compounds as a single group.’’
Although the precise nickel compound
(or compounds) responsible for
carcinogenic effects in humans is not
always clear, studies indicate that nickel
sulfate and the combinations of nickel
sulfides and oxides encountered in the
nickel refining industries cause cancer
in humans (these studies are
summarized in a review by Grimsrud et
al., 2010 14). The major scientific bodies
mentioned above have also recognized
that there are differences in toxicity
and/or carcinogenic potential across the
different nickel compounds.
In the inhalation risk assessment for
the 2011 proposed rule, to take a
conservative approach, we considered
all nickel compounds to have the same
carcinogenic potential as nickel
subsulfide and used the IRIS URE for
11 National Toxicology Program (NTP), 2011.
Report on carcinogens. 12th ed. Research Triangle
Park, NC: US Department of Health and Human
Services (DHHS), Public Health Service. Available
online at https://ntp.niehs.nih.gov/ntp/roc/twelfth/
roc12.pdf.
12 International Agency for Research on Cancer
(IARC), 1990. IARC monographs on the evaluation
of carcinogenic risks to humans. Chromium, nickel,
and welding. Vol. 49. Lyons, France: International
Agency for Research on Cancer, World Health
Organization Vol. 49:256.
13 World Health Organization (WHO, 1991) and
the European Union’s Scientific Committee on
Health and Environmental Risks (SCHER, 2006).
14 Grimsrud TK and Andersen A. Evidence of
carcinogenicity in humans of water-soluble nickel
salts. J Occup Med Toxicol 2010, 5:1–7. Available
online at https://www.ossup-med.com/content/5/1/7.
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nickel subsulfide to estimate risks due
to all nickel emissions from the source
category. However, given that there are
two additional URE values 15 derived for
exposure to mixtures of nickel
compounds, as a group, that are 2–3 fold
lower than the IRIS URE for nickel
subsulfide, the EPA also considers it
reasonable to use a value that is 50
percent of the IRIS URE for nickel
subsulfide for providing an estimate of
the lower end of the plausible range of
cancer potency values for different
mixtures of nickel compounds. In the
public comments provided in response
to the proposal and available in the
docket, one facility provided additional
data in the form of a laboratory test
report that indicated it would be
unlikely that 100 percent of the nickel
from the furnace would be in the form
of nickel subsulfide. Given our current
knowledge of the carcinogenic potential
of all nickel compounds, and the
potential differences in carcinogenic
potential across nickel compounds, we
consider it reasonable to use a value that
is 50 percent of the IRIS URE for nickel
subsulfide for providing an estimate of
the cancer potency values for different
mixtures of nickel compounds in the
revised data set for the current
supplemental proposal.
The EPA estimated incremental
individual lifetime cancer risks
associated with emissions from the
facilities in the source category as the
sum of the risks for each of the
carcinogenic HAP (including those
classified as carcinogenic to humans,
likely to be carcinogenic to humans, and
suggestive evidence of carcinogenic
potential 16) emitted by the modeled
sources. Cancer incidence and the
distribution of individual cancer risks
for the population within 50 km of the
sources were also estimated for the
source category as part of this
15 Two UREs (other than the current IRIS values)
have been derived for nickel compounds as a group:
One developed by the California Department of
Health Services (https://www.arb.ca.gov/toxics/id/
summary/nickel_tech_b.pdf) and the other by the
Texas Commission on Environmental Quality
(https://www.epa.gov/ttn/atw/nata1999/99pdfs/
healtheffectsinfo.pdf).
16 These classifications also coincide with the
terms ‘‘known carcinogen, probable carcinogen, and
possible carcinogen,’’ respectively, which are the
terms advocated in the EPA’s previous Guidelines
for Carcinogen Risk Assessment, published in 1986
(51 FR 33992, September 24, 1986). Summing the
risks of these individual compounds to obtain the
cumulative cancer risks is an approach that was
recommended by the EPA’s Science Advisory Board
(SAB) in their 2002 peer review of EPA’s National
Air Toxics Assessment (NATA) entitled, NATA—
Evaluating the National-scale Air Toxics
Assessment 1996 Data—an SAB Advisory, available
at: https://yosemite.epa.gov/sab/sabproduct.nsf/
214C6E915BB04E14852570CA007A682C/$File/
ecadv02001.pdf.
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assessment by summing individual
risks. A distance of 50 km is consistent
with both the analysis supporting the
1989 Benzene NESHAP (54 FR 38044,
September 14, 1989) and the limitations
of Gaussian dispersion models,
including AERMOD.
To assess the risk of non-cancer
health effects from chronic exposures,
we summed the HQ for each of the HAP
that affects a common target organ
system to obtain the HI for that target
organ system (or target organ-specific
HI, TOSHI). The HQ is the estimated
exposure divided by the chronic
reference value, which is a value
selected from one of several sources.
First, the chronic reference level can be
the EPA reference concentration (RfC)
(https://www.epa.gov/riskassessment/
glossary.htm), defined as ‘‘an estimate
(with uncertainty spanning perhaps an
order of magnitude) of a continuous
inhalation exposure to the human
population (including sensitive
subgroups) that is likely to be without
an appreciable risk of deleterious effects
during a lifetime.’’ Alternatively, in
cases where an RfC from the EPA’s IRIS
database is not available or where the
EPA determines that using a value other
than the RfC is appropriate, the chronic
reference level can be a value from the
following prioritized sources: (1) The
Agency for Toxic Substances and
Disease Registry Minimum Risk Level
(MRL) (https://www.atsdr.cdc.gov/mrls/
index.asp), which is defined as ‘‘an
estimate of daily human exposure to a
hazardous substance that is likely to be
without an appreciable risk of adverse
non-cancer health effects (other than
cancer) over a specified duration of
exposure’’; (2) the CalEPA Chronic
Reference Exposure Level (REL)
(https://www.oehha.ca.gov/air/hot_
spots/pdf/HRAguidefinal.pdf), which is
defined as ‘‘the concentration level (that
is expressed in units of micrograms per
cubic meter (mg/m3) for inhalation
exposure and in a dose expressed in
units of milligram per kilogram-day
(mg/kg-day) for oral exposures), at or
below which no adverse health effects
are anticipated for a specified exposure
duration’’; or (3), as noted above, a
scientifically credible dose-response
value that has been developed in a
manner consistent with the EPA
guidelines and has undergone a peer
review process similar to that used by
the EPA, in place of or in concert with
other values.
For the ferroalloys source category,
we applied this policy in our estimate
of noncancer inhalation hazards and
note the following related to manganese.
There is an existing IRIS RfC for
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manganese (Mn) published in 1993.17
This value was used in the RTR risk
assessment supporting the Ferroalloys
Notice of Proposed Rulemaking.18
However, since the 2011 proposal,
ATSDR has published an assessment of
Mn toxicity (2012) which includes a
chronic inhalation value (i.e., an ATSDR
Minimal Risk Level or MRL).19 Both the
1993 IRIS RfC and the 2012 ATSDR
MRL were based on the same study
(Roels et al., 1993). In developing their
assessment, ATSDR used updated doseresponse modeling methodology
(benchmark dose approach) and
considered recent pharmacokinetic
findings to support their MRL
derivation. Consistent with Agency
policy, which was supported by SAB,20
the EPA has chosen in this instance to
rely on the ATSDR MRL for Mn in the
current ferroalloys supplemental
proposal.
The EPA also evaluated screening
estimates of acute exposures and risks
for each of the HAP at the point of
highest potential off-site exposure for
each facility. To do this, the EPA
estimated the risks when both the peak
hourly emissions rate and worst-case
dispersion conditions occur. We also
assume that a person is located at the
point of highest impact during that same
time. In accordance with our mandate in
section 112 of the Clean Air Act, we use
the point of highest off-site exposure to
assess the potential risk to the
maximally exposed individual. The
acute HQ is the estimated acute
exposure divided by the acute doseresponse value. In each case, the EPA
calculated acute HQ values using best
available, short-term dose-response
values. These acute dose-response
values, which are described below,
include the acute REL, acute exposure
guideline levels (AEGL) and emergency
response planning guidelines (ERPG) for
1-hour exposure durations. As
discussed below, we used conservative
assumptions for emissions rates,
meteorology and exposure location for
our acute analysis.
As described in the CalEPA’s Air
Toxics Hot Spots Program Risk
Assessment Guidelines, Part I, The
17 US EPA Integrated Risk Information System
Review of Manganese (1993) available at https://
www.epa.gov/iris/subst/0373.htm.
18 2011 Notice of proposed Rulemaking reference
(76 FR 72508).
19 Agency for Toxic Substances & Disease Registry
Toxicological Profile for Manganese (2012)
available at https://www.atsdr.cdc.gov/toxprofiles/
tp.asp?id=102&tid=23.
20 The SAB peer review of RTR Risk Assessment
Methodologies is available at: https://
yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPASAB-10-007-unsigned.pdf.
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Determination of Acute Reference
Exposure Levels for Airborne Toxicants,
an acute REL value (https://
www.oehha.ca.gov/air/pdf/acuterel.pdf)
is defined as ‘‘the concentration level at
or below which no adverse health
effects are anticipated for a specified
exposure duration.’’ Id. at page 2. Acute
REL values are based on the most
sensitive, relevant, adverse health effect
reported in the peer-reviewed medical
and toxicological literature. Acute REL
values are designed to protect the most
sensitive individuals in the population
through the inclusion of margins of
safety. Because margins of safety are
incorporated to address data gaps and
uncertainties, exceeding the REL does
not automatically indicate an adverse
health impact.
As we state above, in assessing the
potential risks associated with acute
exposures to HAP, we do not follow a
prioritization scheme and therefore we
consider available dose-response values
from multiple authoritative sources. In
the RTR program, EPA assesses acute
risk using toxicity values derived from
one hour exposures. Based on an indepth examination of the available acute
value for nickel [California EPA’s acute
(1-hour) REL], we have concluded that
this value is not appropriate to use to
support EPA’s risk and technology
review rules. This conclusion takes into
account: The effect on which the acute
REL is based; aspects of the
methodology used in its derivation; and
how this assessment stands in
comparison to the ATSDR toxicological
assessment, which considered the
broader nickel health effects database.
The broad nickel noncancer health
effects database strongly suggests that
the respiratory tract is the primary target
of nickel toxicity following inhalation
exposure. The available database on
acute noncancer respiratory effects is
limited and was considered unsuitable
for quantitative analysis of nickel
toxicity by both California EPA 21 and
ATSDR.22 The California EPA’s acute (1hour) REL is based on an alternative
endpoint, immunotoxicity in mice,
specifically depressed antibody
response measured in an antibody
plaque assay.
In addition, the current California
acute (1-hour) REL for Ni includes the
application of methods that are different
from those described in EPA guidelines.
Specifically, the (1-hour) REL applies
uncertainty factors that depart from the
defaults in EPA guidelines and does not
21 https://oehha.ca.gov/air/allrels.html.
22 https://www.atsdr.cdc.gov/substances/
toxsubstance.asp?toxid=44.
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apply an inhalation dosimetric
adjustment factor.
Further, the ATSDR’s intermediate
MRL (relevant to Ni exposures for a time
frame between 14 and 364 days), was
established at the same concentration as
the California EPA (1- hour) REL,
indicating that exposure to this
concentration ‘‘is likely to be without
appreciable risk of adverse noncancer
effects’’ (MRL definition) 23 for up to 364
days.
We have high confidence in the nickel
ATSDR intermediate MRL. Our analysis
of the broad toxicity database for nickel
indicates that this value is based on the
most biologically-relevant endpoint.
That is, the intermediate MRL is based
on a scientifically sound study of acute
respiratory toxicity. Furthermore, this
value is supported by a robust
subchronic nickel toxicity database and
was derived following guidelines that
are consistent with EPA guidelines.24
Finally, there are no AEGL–1/ERPG–1
or AEGL–2/ERPG–2 values available for
nickel. Thus, for all the above
mentioned reasons, we will not include
Ni in our acute analysis for this source
category or in future assessments unless
and until an appropriate value becomes
available.
AEGL values were derived in
response to recommendations from the
National Research Council (NRC). As
described in Standing Operating
Procedures (SOP) of the National
Advisory Committee on Acute Exposure
Guideline Levels for Hazardous
Substances (https://www.epa.gov/oppt/
aegl/pubs/sop.pdf),25 ‘‘the NRC’s
previous name for acute exposure
levels—community emergency exposure
levels—was replaced by the term AEGL
to reflect the broad application of these
values to planning, response and
prevention in the community, the
workplace, transportation, the military
and the remediation of Superfund
sites.’’ Id. at 2. This document also
states that AEGL values ‘‘represent
threshold exposure limits for the general
public and are applicable to emergency
exposures ranging from 10 minutes to
eight hours.’’ Id. at 2.
The document lays out the purpose
and objectives of AEGL by stating that
‘‘the primary purpose of the AEGL
23 Agency for Toxic Substances and Disease
Registry (ATSDR), Toxic Substances Portal.
Minimal Risk Levels (MRLs) https://
www.atsdr.cdc.gov/mrls/index.asp.
24 US EPA 2002. Review of the reference dose and
reference concentration processes (EPA/630/P–02/
002F), December 2002, https://www.epa.gov/raf/
publications/pdfs/rfd-final.pdf
25 National Academy of Sciences (NAS), 2001.
Standing Operating Procedures for Developing
Acute Exposure Levels for Hazardous Chemicals,
page 2.
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program and the National Advisory
Committee for Acute Exposure
Guideline Levels for Hazardous
Substances is to develop guideline
levels for once-in-a-lifetime, short-term
exposures to airborne concentrations of
acutely toxic, high-priority chemicals.’’
Id. at 21. In detailing the intended
application of AEGL values, the
document states that ‘‘[i]t is anticipated
that the AEGL values will be used for
regulatory and nonregulatory purposes
by U.S. Federal and state agencies and
possibly the international community in
conjunction with chemical emergency
response, planning, and prevention
programs. More specifically, the AEGL
values will be used for conducting
various risk assessments to aid in the
development of emergency
preparedness and prevention plans, as
well as real-time emergency response
actions, for accidental chemical releases
at fixed facilities and from transport
carriers.’’ Id. at 31.
The AEGL–1 value is then specifically
defined as ‘‘the airborne concentration
(expressed as ppm (parts per million) or
mg/m3 (milligrams per cubic meter)) of
a substance above which it is predicted
that the general population, including
susceptible individuals, could
experience notable discomfort,
irritation, or certain asymptomatic
nonsensory effects. However, the effects
are not disabling and are transient and
reversible upon cessation of exposure.’’
Id. at 3. The document also notes that,
‘‘Airborne concentrations below AEGL–
1 represent exposure levels that can
produce mild and progressively
increasing but transient and
nondisabling odor, taste, and sensory
irritation or certain asymptomatic,
nonsensory effects.’’ Id. Similarly, the
document defines AEGL–2 values as
‘‘the airborne concentration (expressed
as parts per million or milligrams per
cubic meter) of a substance above which
it is predicted that the general
population, including susceptible
individuals, could experience
irreversible or other serious, long-lasting
adverse health effects or an impaired
ability to escape.’’ Id.
ERPG values are derived for use in
emergency response, as described in the
American Industrial Hygiene
Association’s ERP Committee document
entitled, ERPGS Procedures and
Responsibilities (https://sp4m.aiha.org/
insideaiha/GuidelineDevelopment/
ERPG/Documents/ERP–SOPs2006.pdf),
which states that, ‘‘Emergency Response
Planning Guidelines were developed for
emergency planning and are intended as
health based guideline concentrations
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for single exposures to chemicals.’’ 26 Id.
at 1. The ERPG–1 value is defined as
‘‘the maximum airborne concentration
below which it is believed that nearly
all individuals could be exposed for up
to 1 hour without experiencing other
than mild transient adverse health
effects or without perceiving a clearly
defined, objectionable odor.’’ Id. at 2.
Similarly, the ERPG–2 value is defined
as ‘‘the maximum airborne
concentration below which it is
believed that nearly all individuals
could be exposed for up to one hour
without experiencing or developing
irreversible or other serious health
effects or symptoms which could impair
an individual’s ability to take protective
action.’’ Id. at 1.
As can be seen from the definitions
above, the AEGL and ERPG values
include the similarly-defined severity
levels 1 and 2. For many chemicals, a
severity level 1 value AEGL or ERPG has
not been developed because the types of
effects for these chemicals are not
consistent with the AEGL–1/ERPG–1
definitions; in these instances, we
compare higher severity level AEGL–2
or ERPG–2 values to our modeled
exposure levels to screen for potential
acute concerns. When AEGL–1/ERPG–1
values are available, they are used in
our acute risk assessments.
Acute REL values for 1-hour exposure
durations are typically lower than their
corresponding AEGL–1 and ERPG–1
values. Even though their definitions are
slightly different, AEGL–1 values are
often the same as the corresponding
ERPG–1 values, and AEGL–2 values are
often equal to ERPG–2 values.
Maximum HQ values from our acute
screening risk assessments typically
result when basing them on the acute
REL value for a particular pollutant. In
cases where our maximum acute HQ
value exceeds 1, we also report the HQ
value based on the next highest acute
dose-response value (usually the AEGL–
1 and/or the ERPG–1 value).
To develop screening estimates of
acute exposures in the absence of hourly
emissions data, generally we first
develop estimates of maximum hourly
emissions rates by multiplying the
average actual annual hourly emissions
rates by a default factor to cover
routinely variable emissions. We choose
the factor to use partially based on
process knowledge and engineering
judgment. The factor chosen also
reflects a Texas study of short-term
emissions variability, which showed
that most peak emission events in a
26 ERP Committee Procedures and
Responsibilities. November 1, 2006. American
Industrial Hygiene Association.
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heavily-industrialized four-county area
(Harris, Galveston, Chambers and
Brazoria Counties, Texas) were less than
twice the annual average hourly
emissions rate. The highest peak
emissions event was 74 times the
annual average hourly emissions rate,
and the 99th percentile ratio of peak
hourly emissions rate to the annual
average hourly emissions rate was 9.27
Considering this analysis, to account for
more than 99 percent of the peak hourly
emissions, we apply a conservative
screening multiplication factor of 10 to
the average annual hourly emissions
rate in our acute exposure screening
assessments as our default approach.
However, we use a factor other than 10
if we have information that indicates
that a different factor is appropriate for
a particular source category.
For this source category, data were
available to determine process-specific
factors. Some processes, for example the
electric arc furnaces, operate
continuously so there are no peak
emissions. These processes received a
factor of 1 in the acute assessment.
Other processes, for example tapping
and casting, have specific cycles, with
peak emissions occurring for a part of
that cycle (e.g., 30 minutes during a 2hour period). For these processes, we
used a factor of 4 in the acute
assessment. Even with data available to
develop process-specific factors, our
acute assessment is still conservative in
that it assumes that every process
releases its peak emissions at the same
hour and that this is the same hour as
the worst-case dispersion conditions.
This results in a highly conservative
exposure scenario. A further discussion
of why this factor of 4 was chosen can
be found in the memorandum, Revised
Development of the RTR Emissions
Dataset for the Ferroalloys Production
Source Category for the 2014
Supplemental Proposal, available in the
docket for this rulemaking.
As part of our acute risk assessment
process, for cases where acute HQ
values from the screening step were less
than or equal to 1 (even under the
conservative assumptions of the
screening analysis), acute impacts were
deemed negligible and no further
analysis was performed. In cases where
an acute HQ from the screening step
was greater than 1, additional sitespecific data were considered to
develop a more refined estimate of the
potential for acute impacts of concern.
For this source category, the data
refinements employed consisted of
27 See https://www.tceq.state.tx.us/compliance/
field_ops/eer/ or docket to access the
source of these data.
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determining that the receptor with the
maximum concentration was off of plant
property. These refinements are
discussed more fully in the Residual
Risk Assessment for the Ferroalloys
Production Source Category in Support
of the September 2014 Supplemental
Proposal, which is available in the
docket for this source category. Ideally,
we would prefer to have continuous
measurements over time to see how the
emissions vary by each hour over an
entire year. Having a frequency
distribution of hourly emissions rates
over a year would allow us to perform
a probabilistic analysis to estimate
potential threshold exceedances and
their frequency of occurrence. Such an
evaluation could include a more
complete statistical treatment of the key
parameters and elements adopted in this
screening analysis. Recognizing that this
level of data is rarely available, we
instead rely on the multiplier approach.
To better characterize the potential
health risks associated with estimated
acute exposures to HAP, and in
response to a key recommendation from
the SAB’s peer review of the EPA’s RTR
risk assessment methodologies,28 we
generally examine a wider range of
available acute health metrics (e.g.,
RELs, AEGLs) than we do for our
chronic risk assessments. This is in
response to the SAB’s acknowledgement
that there are generally more data gaps
and inconsistencies in acute reference
values than there are in chronic
reference values. In some cases, when
Reference Value Arrays 29 for HAP have
been developed, we consider additional
acute values (i.e., occupational and
international values) to provide a more
complete risk characterization.
4. How did we conduct the
multipathway exposure and risk
screening?
The EPA conducted a screening
analysis examining the potential for
significant human health risks due to
exposures via routes other than
inhalation (i.e., ingestion). We first
determined whether any sources in the
source category emitted any hazardous
air pollutants known to be persistent
and bioaccumulative in the
28 The SAB peer review of RTR Risk Assessment
Methodologies is available at: https://
yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPASAB-10-007-unsigned.pdf.
29 U.S. EPA. (2009) Chapter 2.9 Chemical Specific
Reference Values for Formaldehyde in Graphical
Arrays of Chemical-Specific Health Effect Reference
Values for Inhalation Exposures (Final Report). U.S.
Environmental Protection Agency, Washington, DC,
EPA/600/R–09/061 and available online at https://
cfpub.epa.gov/ncea/cfm/
recordisplay.cfm?deid=211003.
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environment (PB–HAP). The PB–HAP
compounds or compound classes are
identified for the screening from the
EPA’s Air Toxics Risk Assessment
Library (available at https://
www2.epa.gov/fera/risk-assessmentand-modeling-air-toxics-riskassessment-reference-library).
For the Ferroalloys Production source
category, we identified emissions of
cadmium compounds, chlorinated
dibenzodioxins and furans, lead
compounds, mercury compounds and
polycyclic organic matter. Because one
or more of these PB–HAP are emitted by
at least one facility in the Ferroalloys
Production source category, we
proceeded to the second step of the
evaluation. In this step, we determined
whether the facility-specific emissions
rates of each of the emitted PB–HAP
were large enough to create the potential
for significant non-inhalation human
health risks under reasonable worst-case
conditions. To facilitate this step, we
developed emissions rate screening
levels for several PB–HAP using a
hypothetical upper-end screening
exposure scenario developed for use in
conjunction with the EPA’s Total Risk
Integrated Methodology.Fate, Transport,
and Ecological Exposure (TRIM.FaTE)
model. The PB–HAP with emissions
rate screening level values are: Lead,
cadmium, chlorinated dibenzodioxins
and furans, mercury compounds, and
polycyclic organic matter (POM). We
conducted a sensitivity analysis on the
screening scenario to ensure that its key
design parameters would represent the
upper end of the range of possible
values, such that it would represent a
conservative but not impossible
scenario. The facility-specific emissions
rates of these PB–HAP were compared
to the emission rate screening levels for
these PB–HAP to assess the potential for
significant human health risks via noninhalation pathways. We call this
application of the TRIM.FaTE model the
Tier I TRIM-screen or Tier I screen.
For the purpose of developing
emissions rates for our Tier I TRIMscreen, we derived emission levels for
these PB–HAP (other than lead
compounds) at which the maximum
excess lifetime cancer risk would be 1in-1 million (i.e., for polychlorinated
dibenzodioxins and furans and POM)
or, for HAP that cause non-cancer health
effects (i.e., cadmium compounds and
mercury compounds), the maximum
hazard quotient would be 1. If the
emissions rate of any PB–HAP included
in the Tier I screen exceeds the Tier I
screening emissions rate for any facility,
we conduct a second screen, which we
call the Tier II TRIM-screen or Tier II
screen.
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In the Tier II screen, the location of
each facility that exceeded the Tier I
emission rate is used to refine the
assumptions associated with the
environmental scenario while
maintaining the exposure scenario
assumptions. We then adjust the riskbased Tier I screening level for each PB–
HAP for each facility based on an
understanding of how exposure
concentrations estimated for the
screening scenario change with
meteorology and environmental
assumptions. PB–HAP emissions that do
not exceed these new Tier II screening
levels are considered to pose no
unacceptable risks. When facilities
exceed the Tier II screening levels, it
does not mean that multipathway
impacts are significant, only that we
cannot rule out that possibility based on
the results of the screen.
If the PB–HAP emissions for a facility
exceed the Tier II screening emissions
rate and data are available, we may
decide to conduct a more refined
multipathway assessment. A refined
assessment replaces some of the
assumptions made in the Tier II screen,
with site-specific data. The refined
assessment also uses the TRIM.FaTE
model and facility-specific emission rate
screening levels that are created for each
PB–HAP. For the ferroalloys production
source category, we did conduct a
refined multipathway assessment for
one facility in the category. A detailed
discussion of the approach for this
assessment can be found in Appendix
10 (Technical Support Document:
Human Health Multipathway Residual
Risk Assessment for the Ferroalloys
Production Source Category) of the risk
assessment document.
In evaluating the potential multipathway risk from emissions of lead
compounds, rather than developing a
screening emissions rate for them, we
compared maximum estimated chronic
inhalation exposures with the level of
the current National Ambient Air
Quality Standard (NAAQS) for lead.30
Values below the level of the primary
(health-based) lead NAAQS were
30 In doing so, EPA notes that the legal standard
for a primary NAAQS—that a standard is requisite
to protect public health and provide an adequate
margin of safety (CAA section 109(b))—differs from
the section 112(f) standard (requiring among other
things that the standard provide an ‘‘ample margin
of safety’’). However, the lead NAAQS is a
reasonable measure of determining risk
acceptability (i.e. the first step of the Benzene
NESHAP analysis) since it is designed to protect the
most susceptible group in the human population—
children, including children living near major lead
emitting sources. 73 FR 67002/3; 73 FR 67000/3; 73
FR 67005/1. In addition, applying the level of the
primary lead NAAQS at the risk acceptability step
is conservative, since that primary lead NAAQS
reflects an adequate margin of safety.
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considered to have a low potential for
multi-pathway risk.
For further information on the
multipathway analysis approach, see
the Residual Risk Assessment for the
Ferroalloys Production Source Category
in Support of the September 2014
Supplemental Proposal, which is
available in the docket for this action.
5. How did we assess risks considering
the revised emissions control options?
In addition to assessing baseline
inhalation risks and potential
multipathway risks, we also estimated
risks considering the emissions
reductions that would be achieved by
the control options under consideration
in this supplemental proposal. In these
cases, the expected emissions
reductions were applied to the specific
HAP and emissions points in the RTR
emissions dataset to develop
corresponding estimates of risk that
would exist after implementation of the
proposed amendments in today’s action.
6. How did we conduct the
environmental risk screening
assessment?
a. Adverse Environmental Effect
The EPA has developed a screening
approach to examine the potential for
adverse environmental effects as
required under section 112(f)(2)(A) of
the CAA. Section 112(a)(7) of the CAA
defines ‘‘adverse environmental effect’’
as ‘‘any significant and widespread
adverse effect, which may reasonably be
anticipated, to wildlife, aquatic life, or
other natural resources, including
adverse impacts on populations of
endangered or threatened species or
significant degradation of
environmental quality over broad
areas.’’
b. Environmental HAP
The EPA focuses on seven HAP,
which we refer to as ‘‘environmental
HAP,’’ in its screening analysis: Five
persistent bioaccumulative HAP (PB–
HAP) and two acid gases. The five PB–
HAP are cadmium, dioxins/furans,
polycyclic organic matter (POM),
mercury (both inorganic mercury and
methyl mercury) and lead compounds.
The two acid gases are hydrogen
chloride (HCl) and hydrogen fluoride
(HF). The rationale for including these
seven HAP in the environmental risk
screening analysis is presented below.
The HAP that persist and
bioaccumulate are of particular
environmental concern because they
accumulate in the soil, sediment and
water. The PB–HAP are taken up,
through sediment, soil, water, and/or
ingestion of other organisms, by plants
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or animals (e.g., small fish) at the
bottom of the food chain. As larger and
larger predators consume these
organisms, concentrations of the PB–
HAP in the animal tissues increase as
does the potential for adverse effects.
The five PB–HAP we evaluate as part of
our screening analysis account for 99.8
percent of all PB–HAP emissions
nationally from stationary sources (on a
mass basis from the 2005 NEI).
In addition to accounting for almost
all of the mass of PB–HAP emitted, we
note that the TRIM.FaTE model that we
use to evaluate multipathway risk
allows us to estimate concentrations of
cadmium compounds, dioxins/furans,
POM and mercury in soil, sediment and
water. For lead compounds, we
currently do not have the ability to
calculate these concentrations using the
TRIM.FaTE model. Therefore, to
evaluate the potential for adverse
environmental effects from lead
compounds, we compare the estimated
HEM-modeled exposures from the
source category emissions of lead with
the level of the secondary National
Ambient Air Quality Standard (NAAQS)
for lead.31 We consider values below the
level of the secondary lead NAAQS as
unlikely to cause adverse environmental
effects.
Due to their well-documented
potential to cause direct damage to
terrestrial plants, we include two acid
gases, HCl and HF, in the environmental
screening analysis. According to the
2005 NEI, HCl and HF account for about
99 percent (on a mass basis) of the total
acid gas HAP emitted by stationary
sources in the U.S. In addition to the
potential to cause direct damage to
plants, high concentrations of HF in the
air have been linked to fluorosis in
livestock. Air concentrations of these
HAP are already calculated as part of
the human multipathway exposure and
risk screening analysis using the HEM3–
AERMOD air dispersion model, and we
are able to use the air dispersion
modeling results to estimate the
potential for an adverse environmental
effect.
The EPA acknowledges that other
HAP beyond the seven HAP discussed
above may have the potential to cause
adverse environmental effects.
Therefore, the EPA may include other
relevant HAP in its environmental risk
31 The secondary lead NAAQS is a reasonable
measure of determining whether there is an adverse
environmental effect since it was established
considering ‘‘effects on soils, water, crops,
vegetation, man-made materials, animals, wildlife,
weather, visibility and climate, damage to and
deterioration of property, and hazards to
transportation, as well as effects on economic
values and on personal comfort and well-being.’’
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screening in the future, as modeling
science and resources allow. The EPA
invites comment on the extent to which
other HAP emitted by the source
category may cause adverse
environmental effects. Such information
should include references to peerreviewed ecological effects benchmarks
that are of sufficient quality for making
regulatory decisions, as well as
information on the presence of
organisms located near facilities within
the source category that such
benchmarks indicate could be adversely
affected.
c. Ecological Assessment Endpoints and
Benchmarks for PB–HAP
An important consideration in the
development of the EPA’s screening
methodology is the selection of
ecological assessment endpoints and
benchmarks. Ecological assessment
endpoints are defined by the ecological
entity (e.g., aquatic communities
including fish and plankton) and its
attributes (e.g., frequency of mortality).
Ecological assessment endpoints can be
established for organisms, populations,
communities or assemblages, and
ecosystems.
For PB–HAP (other than lead
compounds), we evaluated the
following community-level ecological
assessment endpoints to screen for
organisms directly exposed to HAP in
soils, sediment and water:
• Local terrestrial communities (i.e.,
soil invertebrates, plants) and
populations of small birds and
mammals that consume soil
invertebrates exposed to PB–HAP in the
surface soil.
• Local benthic (i.e., bottom sediment
dwelling insects, amphipods, isopods
and crayfish) communities exposed to
PB–HAP in sediment in nearby water
bodies.
• Local aquatic (water-column)
communities (including fish and
plankton) exposed to PB–HAP in nearby
surface waters.
For PB–HAP (other than lead
compounds), we also evaluated the
following population-level ecological
assessment endpoint to screen for
indirect HAP exposures of top
consumers via the bioaccumulation of
HAP in food chains.
• Piscivorous (i.e., fish-eating)
wildlife consuming PB–HAPcontaminated fish from nearby water
bodies.
For cadmium compounds, dioxins/
furans, POM and mercury, we identified
the available ecological benchmarks for
each assessment endpoint. An
ecological benchmark represents a
concentration of HAP (e.g., 0.77 ug of
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HAP per liter of water) that has been
linked to a particular environmental
effect level (e.g., a no-observed-adverseeffect level (NOAEL)) through scientific
study. For PB–HAP we identified,
where possible, ecological benchmarks
at the following effect levels:
Probable effect levels (PEL): Level
above which adverse effects are
expected to occur frequently.
Lowest-observed-adverse-effect level
(LOAEL): The lowest exposure level
tested at which there are biologically
significant increases in frequency or
severity of adverse effects.
No-observed-adverse-effect levels
(NOAEL): The highest exposure level
tested at which there are no biologically
significant increases in the frequency or
severity of adverse effect.
We established a hierarchy of
preferred benchmark sources to allow
selection of benchmarks for each
environmental HAP at each ecological
assessment endpoint. In general, the
EPA sources that are used at a
programmatic level (e.g., Office of
Water, Superfund Program) were used,
if available. If not, the EPA benchmarks
used in regional programs (e.g.,
Superfund) were used. If benchmarks
were not available at a programmatic or
regional level, we used benchmarks
developed by other federal agencies
(e.g., National Oceanic and Atmospheric
Administration (NOAA)) or state
agencies.
Benchmarks for all effect levels are
not available for all PB–HAP and
assessment endpoints. In cases where
multiple effect levels were available for
a particular PB–HAP and assessment
endpoint, we use all of the available
effect levels to help us to determine
whether ecological risks exist and, if so,
whether the risks could be considered
significant and widespread.
d. Ecological Assessment Endpoints and
Benchmarks for Acid Gases
The environmental screening analysis
also evaluated potential damage and
reduced productivity of plants due to
direct exposure to acid gases in the air.
For acid gases, we evaluated the
following ecological assessment
endpoint:
• Local terrestrial plant communities
with foliage exposed to acidic gaseous
HAP in the air.
The selection of ecological
benchmarks for the effects of acid gases
on plants followed the same approach
as for PB–HAP (i.e., we examine all of
the available benchmarks). For HCl, the
EPA identified chronic benchmark
concentrations. We note that the
benchmark for chronic HCl exposure to
plants is greater than the reference
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concentration for chronic inhalation
exposure for human health. This means
that where the EPA includes regulatory
requirements to prevent an exceedance
of the reference concentration for
human health, additional analyses for
adverse environmental effects of HCl
would not be necessary.
For HF, the EPA identified chronic
benchmark concentrations for plants
and evaluated chronic exposures to
plants in the screening analysis. High
concentrations of HF in the air have also
been linked to fluorosis in livestock.
However, the HF concentrations at
which fluorosis in livestock occur are
higher than those at which plant
damage begins. Therefore, the
benchmarks for plants are protective of
both plants and livestock.
e. Screening Methodology
For the environmental risk screening
analysis, the EPA first determined
whether any facilities in the ferroalloys
production source category sources
emitted any of the seven environmental
HAP. For the ferroalloys production
source category, we identified emissions
of five of the PB HAP (cadmium,
mercury, lead compounds, dioxins and
polycyclic organic matter) and one acid
gas (HCl).
Because one or more of the seven
environmental HAP evaluated are
emitted by the facilities in the source
category, we proceeded to the second
step of the evaluation.
f. PB–HAP Methodology
For cadmium, mercury, POM and
dioxins/furans, the environmental
screening analysis consists of two tiers,
while lead compounds are analyzed
differently as discussed earlier. In the
first tier, we determined whether the
maximum facility-specific emission
rates of each of the emitted
environmental HAP were large enough
to create the potential for adverse
environmental effects under reasonable
worst-case environmental conditions.
These are the same environmental
conditions used in the human
multipathway exposure and risk
screening analysis.
To facilitate this step, TRIM.FaTE was
run for each PB–HAP under
hypothetical environmental conditions
designed to provide conservatively high
HAP concentrations. The model was set
to maximize runoff from terrestrial
parcels into the modeled lake, which in
turn, maximized the chemical
concentrations in the water, the
sediments and the fish. The resulting
media concentrations were then used to
back-calculate a screening level
emission rate that corresponded to the
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relevant exposure benchmark
concentration value for each assessment
endpoint. To assess emissions from a
facility, the reported emission rate for
each PB–HAP was compared to the
screening level emission rate for that
PB–HAP for each assessment endpoint.
If emissions from a facility do not
exceed the Tier I screening level, the
facility ‘‘passes’’ the screen, and
therefore, is not evaluated further under
the screening approach. If emissions
from a facility exceed the Tier I
screening level, we evaluate the facility
further in Tier II.
In Tier II of the environmental
screening analysis, the emission rate
screening levels are adjusted to account
for local meteorology and the actual
location of lakes in the vicinity of
facilities that did not pass the Tier I
screen. The modeling domain for each
facility in the tier II analysis consists of
eight octants. Each octant contains 5
modeled soil concentrations at various
distances from the facility (5 soil
concentrations × 8 octants = total of 40
soil concentrations per facility) and 1
lake with modeled concentrations for
water, sediment and fish tissue. In the
tier II environmental risk screening
analysis, the 40 soil concentration
points are averaged to obtain an average
soil concentration for each facility for
each PB–HAP. For the water, sediment
and fish tissue concentrations, the
highest value for each facility for each
pollutant is used. If emission
concentrations from a facility do not
exceed the Tier II screening levels, the
facility passes the screen and typically
is not evaluated further. If emissions
from a facility exceed the Tier II
screening level, the facility does not
pass the screen and, therefore, may have
the potential to cause adverse
environmental effects. Such facilities
are evaluated further to investigate
factors such as the magnitude and
characteristics of the area of exceedance.
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g. Acid Gas Methodology
The environmental screening analysis
evaluates the potential phytotoxicity
and reduced productivity of plants due
to chronic exposure to acid gases. The
environmental risk screening
methodology for acid gases is a singletier screen that compares the average
off-site ambient air concentration over
the modeling domain to ecological
benchmarks for each of the acid gases.
Because air concentrations are
compared directly to the ecological
benchmarks, emission-based screening
levels are not calculated for acid gases
as they are in the ecological risk
screening methodology for PB–HAPs.
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For purposes of ecological risk
screening, the EPA identifies a potential
for adverse environmental effects to
plant communities from exposure to
acid gases when the average
concentration of the HAP around a
facility exceeds the LOAEL ecological
benchmark. In such cases, we further
investigate factors such as the
magnitude and characteristics of the
area of exceedance (e.g., land use of
exceedance area, size of exceedance
area) to determine if there is an adverse
environmental effect. For further
information on the environmental
screening analysis approach, see the
Residual Risk Assessment for the
Ferroalloys Production Source Category
in Support of the September 2014
Supplemental Proposal, which is
available in the docket for this action.
7. How did we conduct facility-wide
assessments?
To put the source category risks in
context, we typically examine the risks
from the entire ‘‘facility,’’ where the
facility includes all HAP-emitting
operations within a contiguous area and
under common control. In other words,
we examine the HAP emissions not only
from the source category of interest, but
also emissions of HAP from all other
emissions sources at the facility for
which we have data. However, for the
Ferroalloys Production source category,
we did not identify other HAP
emissions sources located at these
facilities. Thus, we did not perform a
separate facility wide risk assessment.
8. How did we consider uncertainties in
risk assessment?
In the Benzene NESHAP, we
concluded that risk estimation
uncertainty should be considered in our
decision-making under the ample
margin of safety framework. Uncertainty
and the potential for bias are inherent in
all risk assessments, including those
performed for this proposal. Although
uncertainty exists, we believe that our
approach, which used conservative
tools and assumptions, ensures that our
decisions are health protective and
environmentally protective. A brief
discussion of the uncertainties in the
RTR emissions dataset, dispersion
modeling, inhalation exposure estimates
and dose-response relationships follows
below. A more thorough discussion of
these uncertainties is included in the
Revised Development of the RTR
Emissions Dataset for the Ferroalloys
Production Source Category for the 2014
Supplemental Proposal (Emissions
Memo) and the other uncertainties are
described in more detail in the Residual
Risk Assessment for the Ferroalloys
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Production Source Category in Support
of the September 2014 Supplemental
Proposal, which is available in the
docket for this action.
a. Uncertainties in the RTR Emissions
Dataset
Although the development of the RTR
emissions dataset involved quality
assurance/quality control processes, the
accuracy of emissions values will vary
depending on the source of the data, the
degree to which data are incomplete or
missing, the degree to which
assumptions made to complete the
datasets are accurate, errors in emission
estimates and other factors. The
emission estimates considered in this
analysis generally are annual totals for
certain years, and they do not reflect
short-term fluctuations during the
course of a year or variations from year
to year. The estimates of peak hourly
emission rates for the acute effects
screening assessment were based on an
emission adjustment factor applied to
the average annual hourly emission
rates, which are intended to account for
emission fluctuations due to normal
facility operations.
As described above and in the
emissions technical document, we
gathered a substantial amount of
emissions test data for the stack
emissions from both facilities.
Therefore, the level of uncertainty in the
estimates of HAP emissions from the
stacks is relatively low. Regarding
fugitive emissions, we lack direct
quantitative measurements of these
emissions, therefore, we had to rely on
available emissions factors and other
technical information to derive the best
estimates of emissions for these
emissions. To estimate these fugitive
emissions, we relied on information and
observations gathered through several
site visits by the EPA technical experts,
reviewed and evaluated all available
emissions factors and analyzed other
relevant information such as the
measured ratios of HAP metals to
particulate matter, estimated capture
efficiencies of the various ventilation
hoods currently used to capture and
control some of the fugitive emissions
and the production rates for various
products. Based on this information, we
have derived the best estimates of
fugitive emissions from these sources.
Details are described in the Emissions
Memo, which is available in the docket
for this action. Nevertheless, there are
still some uncertainties regarding the
precise quantities of fugitive HAP being
emitted from these plants.
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b. Uncertainties in Dispersion Modeling
We recognize there is uncertainty in
ambient concentration estimates
associated with any model, including
the EPA’s recommended regulatory
dispersion model, AERMOD. In using a
model to estimate ambient pollutant
concentrations, the user chooses certain
options to apply. For RTR assessments,
we select some model options that have
the potential to overestimate ambient air
concentrations (e.g., not including
plume depletion or pollutant
transformation). We select other model
options that have the potential to
underestimate ambient impacts (e.g., not
including building downwash). Other
options that we select have the potential
to either under- or overestimate ambient
levels (e.g., meteorology and receptor
locations). On balance, considering the
directional nature of the uncertainties
commonly present in ambient
concentrations estimated by dispersion
models, the approach we apply in the
RTR assessments should yield unbiased
estimates of ambient HAP
concentrations.
c. Uncertainties in Inhalation Exposure
The EPA did not include the effects
of human mobility on exposures in the
assessment. Specifically, short-term
mobility and long-term mobility
between census blocks in the modeling
domain were not considered.32 The
approach of not considering short or
long-term population mobility does not
bias the estimate of the theoretical MIR
(by definition), nor does it affect the
estimate of cancer incidence because the
total population number remains the
same. It does, however, affect the shape
of the distribution of individual risks
across the affected population, shifting
it toward higher estimated individual
risks at the upper end and reducing the
number of people estimated to be at
lower risks, thereby increasing the
estimated number of people at specific
high risk levels (e.g., 1-in-10 thousand
or 1-in-1 million).
In addition, the assessment predicted
the chronic exposures at the centroid of
each populated census block as
surrogates for the exposure
concentrations for all people living in
that block. Using the census block
centroid to predict chronic exposures
tends to over-predict exposures for
people in the census block who live
farther from the facility and underpredict exposures for people in the
32 Short-term mobility is movement from one
micro-environment to another over the course of
hours or days. Long-term mobility is movement
from one residence to another over the course of a
lifetime.
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census block who live closer to the
facility. Thus, using the census block
centroid to predict chronic exposures
may lead to a potential understatement
or overstatement of the true maximum
impact, but is an unbiased estimate of
average risk and incidence. We reduce
this uncertainty by analyzing large
census blocks near facilities using aerial
imagery and adjusting the location of
the block centroid to better represent the
population in the block, as well as
adding additional receptor locations
where the block population is not well
represented by a single location.
The assessment evaluates the cancer
inhalation risks associated with
pollutant exposures over a 70-year
period, which is the assumed lifetime of
an individual. In reality, both the length
of time that modeled emission sources
at facilities actually operate (i.e., more
or less than 70 years) and the domestic
growth or decline of the modeled
industry (i.e., the increase or decrease in
the number or size of domestic
facilities) will influence the future risks
posed by a given source or source
category. Depending on the
characteristics of the industry, these
factors will, in most cases, result in an
overestimate both in individual risk
levels and in the total estimated number
of cancer cases. However, in the
unlikely scenario where a facility
maintains, or even increases, its
emissions levels over a period of more
than 70 years, residents live beyond 70
years at the same location, and the
residents spend most of their days at
that location, then the cancer inhalation
risks could potentially be
underestimated. However, annual
cancer incidence estimates from
exposures to emissions from these
sources would not be affected by the
length of time an emissions source
operates.
The exposure estimates used in these
analyses assume chronic exposures to
ambient (outdoor) levels of pollutants.
Because most people spend the majority
of their time indoors, actual exposures
may not be as high, depending on the
characteristics of the pollutants
modeled. For many of the HAP, indoor
levels are roughly equivalent to ambient
levels, but for very reactive pollutants or
larger particles, indoor levels are
typically lower. This factor has the
potential to result in an overestimate of
25 to 30 percent of exposures.33
In addition to the uncertainties
highlighted above, there are several
factors specific to the acute exposure
33 U.S. EPA. National-Scale Air Toxics
Assessment for 1996. (EPA 453/R–01–003; January
2001; page 85.)
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assessment that the EPA conducts as
part of the risk review under section 112
of the CAA that should be highlighted.
The accuracy of an acute inhalation
exposure assessment depends on the
simultaneous occurrence of
independent factors that may vary
greatly, such as hourly emissions rates,
meteorology and the presence of
humans at the location of the maximum
concentration. In the acute screening
assessment that we conduct under the
RTR program, we assume that peak
emissions from the source category and
worst-case meteorological conditions
co-occur, thus resulting in maximum
ambient concentrations. These two
events are unlikely to occur at the same
time, making these assumptions
conservative. We then include the
additional assumption that a person is
located at this point during this same
time period. For this source category,
these assumptions would tend to be
worst-case actual exposures as it is
unlikely that a person would be located
at the point of maximum exposure
during the time when peak emissions
and worst-case meteorological
conditions occur simultaneously.
d. Uncertainties in Dose-Response
Relationships
There are uncertainties inherent in
the development of the dose-response
values used in our risk assessments for
cancer effects from chronic exposures
and non-cancer effects from both
chronic and acute exposures. Some
uncertainties may be considered
quantitatively, and others generally are
expressed in qualitative terms. We note
as a preface to this discussion a point on
dose-response uncertainty that is
brought out in the EPA’s 2005 Cancer
Guidelines; namely, that ‘‘the primary
goal of EPA actions is protection of
human health; accordingly, as an
Agency policy, risk assessment
procedures, including default options
that are used in the absence of scientific
data to the contrary, should be health
protective’’ (EPA 2005 Cancer
Guidelines, pages 1–7). This is the
approach followed here as summarized
in the next several paragraphs. A
complete detailed discussion of
uncertainties and variability in doseresponse relationships is given in the
Residual Risk Assessment for the
Ferroalloys Production Source Category
in Support of the September 2014
Supplemental Proposal, which is
available in the docket for this action.
Cancer URE values used in our risk
assessments are those that have been
developed to generally provide an upper
bound estimate of risk. That is, they
represent a ‘‘plausible upper limit to the
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true value of a quantity’’ (although this
is usually not a true statistical
confidence limit).34 In some
circumstances, the true risk could be as
low as zero; however, in other
circumstances the risk could be
greater.35 When developing an upper
bound estimate of risk and to provide
risk values that do not underestimate
risk, health-protective default
approaches are generally used. To err on
the side of ensuring adequate health
protection, the EPA typically uses the
upper bound estimates rather than
lower bound or central tendency
estimates in our risk assessments, an
approach that may have limitations for
other uses (e.g., priority-setting or
expected benefits analysis).
Chronic non-cancer RfC and reference
dose (RfD) values represent chronic
exposure levels that are intended to be
health-protective levels. Specifically,
these values provide an estimate (with
uncertainty spanning perhaps an order
of magnitude) of a continuous
inhalation exposure (RfC) or a daily oral
exposure (RfD) to the human population
(including sensitive subgroups) that is
likely to be without an appreciable risk
of deleterious effects during a lifetime.
To derive values that are intended to be
‘‘without appreciable risk,’’ the
methodology relies upon an uncertainty
factor (UF) approach (U.S. EPA, 1993,
1994) which considers uncertainty,
variability and gaps in the available
data. The UF are applied to derive
reference values that are intended to
protect against appreciable risk of
deleterious effects. The UF are
commonly default values,36 e.g., factors
of 10 or 3, used in the absence of
34 IRIS glossary (https://www.epa.gov/NCEA/iris/
help_gloss.htm).
35 An exception to this is the URE for benzene,
which is considered to cover a range of values, each
end of which is considered to be equally plausible
and which is based on maximum likelihood
estimates.
36 According to the NRC report, Science and
Judgment in Risk Assessment (NRC, 1994)
‘‘[Default] options are generic approaches, based on
general scientific knowledge and policy judgment,
that are applied to various elements of the risk
assessment process when the correct scientific
model is unknown or uncertain.’’ The 1983 NRC
report, Risk Assessment in the Federal Government:
Managing the Process, defined default option as
‘‘the option chosen on the basis of risk assessment
policy that appears to be the best choice in the
absence of data to the contrary’’ (NRC, 1983a, p. 63).
Therefore, default options are not rules that bind
the Agency; rather, the Agency may depart from
them in evaluating the risks posed by a specific
substance when it believes this to be appropriate.
In keeping with EPA’s goal of protecting public
health and the environment, default assumptions
are used to ensure that risk to chemicals is not
underestimated (although defaults are not intended
to overtly overestimate risk). See EPA, 2004, An
Examination of EPA Risk Assessment Principles
and Practices, EPA/100/B–04/001 available at:
https://www.epa.gov/osa/pdfs/ratf-final.pdf.
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compound-specific data; where data are
available, UF may also be developed
using compound-specific information.
When data are limited, more
assumptions are needed and more UF
are used. Thus, there may be a greater
tendency to overestimate risk in the
sense that further study might support
development of reference values that are
higher (i.e., less potent) because fewer
default assumptions are needed.
However, for some pollutants, it is
possible that risks may be
underestimated.
While collectively termed ‘‘UF,’’ these
factors account for a number of different
quantitative considerations when using
observed animal (usually rodent) or
human toxicity data in the development
of the RfC. The UF are intended to
account for: (1) Variation in
susceptibility among the members of the
human population (i.e., inter-individual
variability); (2) uncertainty in
extrapolating from experimental animal
data to humans (i.e., interspecies
differences); (3) uncertainty in
extrapolating from data obtained in a
study with less-than-lifetime exposure
(i.e., extrapolating from sub-chronic to
chronic exposure); (4) uncertainty in
extrapolating the observed data to
obtain an estimate of the exposure
associated with no adverse effects; and
(5) uncertainty when the database is
incomplete or there are problems with
the applicability of available studies.
Many of the UF used to account for
variability and uncertainty in the
development of acute reference values
are quite similar to those developed for
chronic durations, but they more often
use individual UF values that may be
less than 10. The UF are applied based
on chemical-specific or health effectspecific information (e.g., simple
irritation effects do not vary appreciably
between human individuals, hence a
value of 3 is typically used), or based on
the purpose for the reference value (see
the following paragraph). The UF
applied in acute reference value
derivation include: (1) Heterogeneity
among humans; (2) uncertainty in
extrapolating from animals to humans;
(3) uncertainty in lowest observed
adverse effect (exposure) level to no
observed adverse effect (exposure) level
adjustments; and (4) uncertainty in
accounting for an incomplete database
on toxic effects of potential concern.
Additional adjustments are often
applied to account for uncertainty in
extrapolation from observations at one
exposure duration (e.g., 4 hours) to
derive an acute reference value at
another exposure duration (e.g., 1 hour).
Not all acute reference values are
developed for the same purpose and
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care must be taken when interpreting
the results of an acute assessment of
human health effects relative to the
reference value or values being
exceeded. Where relevant to the
estimated exposures, the lack of shortterm dose-response values at different
levels of severity should be factored into
the risk characterization as potential
uncertainties.
Although every effort is made to
identify appropriate human health effect
dose-response assessment values for all
pollutants emitted by the sources in this
risk assessment, some HAP emitted by
this source category are lacking doseresponse assessments. Accordingly,
these pollutants cannot be included in
the quantitative risk assessment, which
could result in quantitative estimates
understating HAP risk. As we state
above in section III.A.3, based on a
recent in-depth examination of the
available acute value for nickel
(California EPA’s acute (1-hour) REL),
we have concluded that this value is not
appropriate for our regulatory needs in
characterizing the potential for acute
health risks. This conclusion takes into
account the effect on which the acute
REL is based, aspects of the
methodology used in its derivation, and
how this assessment stands in
comparison to other comprehensive
toxicological assessments which
considered the broader nickel health
effects database. Also, there are no
AEGL–1 or -2 or ERPG–1 or -2 values
available to use in this acute risk
assessment. Therefore, we will not
include nickel in our acute analysis for
this source category or in future
assessments unless and until an
appropriate value becomes available.
To help to alleviate this potential
underestimate, where we conclude
similarity with a HAP for which a doseresponse assessment value is available,
we use that value as a surrogate for the
assessment of the HAP for which no
value is available. To the extent use of
surrogates indicates appreciable risk, we
may identify a need to increase priority
for new IRIS assessment of that
substance. We additionally note that,
generally speaking, HAP of greatest
concern due to environmental
exposures and hazard are those for
which dose-response assessments have
been performed, reducing the likelihood
of understating risk. Further, HAP not
included in the quantitative assessment
are assessed qualitatively and
considered in the risk characterization
that informs the risk management
decisions, including with regard to
consideration of HAP reductions
achieved by various control options.
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For a group of compounds that are
unspeciated (e.g., glycol ethers), we
conservatively use the most protective
reference value of an individual
compound in that group to estimate
risk. Similarly, for an individual
compound in a group (e.g., ethylene
glycol diethyl ether) that does not have
a specified reference value, we also
apply the most protective reference
value from the other compounds in the
group to estimate risk.
e. Uncertainties in the Multipathway
Assessment
For each source category, we
generally rely on site-specific levels of
PB–HAP emissions to determine
whether a refined assessment of the
impacts from multipathway exposures
is necessary. This determination is
based on the results of a two-tiered
screening analysis that relies on the
outputs from models that estimate
environmental pollutant concentrations
and human exposures for four PB–HAP.
Two important types of uncertainty
associated with the use of these models
in RTR risk assessments and inherent to
any assessment that relies on
environmental modeling are model
uncertainty and input uncertainty.37
Model uncertainty concerns whether the
selected models are appropriate for the
assessment being conducted and
whether they adequately represent the
actual processes that might occur for
that situation. An example of model
uncertainty is the question of whether
the model adequately describes the
movement of a pollutant through the
soil. This type of uncertainty is difficult
to quantify. However, based on feedback
received from previous EPA Science
Advisory Board reviews and other
reviews, we are confident that the
models used in the screen are
appropriate and state-of-the-art for the
multipathway risk assessments
conducted in support of RTR.
Input uncertainty is concerned with
how accurately the models have been
configured and parameterized for the
assessment at hand. For Tier I of the
multipathway screen, we configured the
models to avoid underestimating
exposure and risk. This was
accomplished by selecting upper-end
values from nationally-representative
data sets for the more influential
parameters in the environmental model,
including selection and spatial
37 In the context of this discussion, the term
‘‘uncertainty’’ as it pertains to exposure and risk
encompasses both variability in the range of
expected inputs and screening results due to
existing spatial, temporal, and other factors, as well
as uncertainty in being able to accurately estimate
the true result.
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configuration of the area of interest, lake
location and size, meteorology, surface
water and soil characteristics and
structure of the aquatic food web. We
also assume an ingestion exposure
scenario and values for human exposure
factors that represent reasonable
maximum exposures.
In Tier II of the multipathway
assessment, we refine the model inputs
to account for meteorological patterns in
the vicinity of the facility versus using
upper-end national values and we
identify the actual location of lakes near
the facility rather than the default lake
location that we apply in Tier I. By
refining the screening approach in Tier
II to account for local geographical and
meteorological data, we decrease the
likelihood that concentrations in
environmental media are overestimated,
thereby increasing the usefulness of the
screen. The assumptions and the
associated uncertainties regarding the
selected ingestion exposure scenario are
the same for Tier I and Tier II.
For both Tiers I and II of the
multipathway assessment, our approach
to addressing model input uncertainty is
generally cautious. We choose model
inputs from the upper end of the range
of possible values for the influential
parameters used in the models, and we
assume that the exposed individual
exhibits ingestion behavior that would
lead to a high total exposure. This
approach reduces the likelihood of not
identifying high risks for adverse
impacts.
Despite the uncertainties, when
individual pollutants or facilities do
screen out, we are confident that the
potential for adverse multipathway
impacts on human health is very low.
On the other hand, when individual
pollutants or facilities do not screen out,
it does not mean that multipathway
impacts are significant, only that we
cannot rule out that possibility and that
a refined multipathway analysis for the
site might be necessary to obtain a more
accurate risk characterization for the
source category.
For further information on
uncertainties and the Tier I and II
screening methods, refer to the risk
document Appendix 4, Technical
Support Document for TRIM-Based
Multipathway Tiered Screening
Methodology for RTR.
We also completed a refined multipathway assessment for this
supplemental proposal. The refined
assessment contains considerably less
uncertainty compared to the Tier I and
Tier II screens. Nevertheless, some
uncertainties also exist with the refined
assessments. The refined multi-pathway
assessment and related uncertainties are
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described in detail in the risk document
Appendix 10, Residual Risk Assessment
for the Ferroalloys Production Source
Category in Support of the September
2014 Supplemental Proposal, which is
available in the docket for this action.
f. Uncertainties in the Environmental
Risk Screening Assessment
For each source category, we
generally rely on site-specific levels of
environmental HAP emissions to
perform an environmental screening
assessment. The environmental
screening assessment is based on the
outputs from models that estimate
environmental HAP concentrations. The
same models, specifically the
TRIM.FaTE multipathway model and
the AERMOD air dispersion model, are
used to estimate environmental HAP
concentrations for both the human
multipathway screening analysis and for
the environmental screening analysis.
Therefore, both screening assessments
have similar modeling uncertainties.
Two important types of uncertainty
associated with the use of these models
in RTR environmental screening
assessments—and inherent to any
assessment that relies on environmental
modeling—are model uncertainty and
input uncertainty.38
Model uncertainty concerns whether
the selected models are appropriate for
the assessment being conducted and
whether they adequately represent the
movement and accumulation of
environmental HAP emissions in the
environment. For example, does the
model adequately describe the
movement of a pollutant through the
soil? This type of uncertainty is difficult
to quantify. However, based on feedback
received from previous EPA Science
Advisory Board reviews and other
reviews, we are confident that the
models used in the screen are
appropriate and state-of-the-art for the
environmental risk assessments
conducted in support of our RTR
analyses.
Input uncertainty is concerned with
how accurately the models have been
configured and parameterized for the
assessment at hand. For Tier I of the
environmental screen for PB–HAP, we
configured the models to avoid
underestimating exposure and risk to
reduce the likelihood that the results
indicate the risks are lower than they
actually are. This was accomplished by
38 In the context of this discussion, the term
‘‘uncertainty,’’ as it pertains to exposure and risk
assessment, encompasses both variability in the
range of expected inputs and screening results due
to existing spatial, temporal and other factors, as
well as uncertainty in being able to accurately
estimate the true result.
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selecting upper-end values from
nationally-representative data sets for
the more influential parameters in the
environmental model, including
selection and spatial configuration of
the area of interest, the location and size
of any bodies of water, meteorology,
surface water and soil characteristics
and structure of the aquatic food web.
In Tier I, we used the maximum facilityspecific emissions for the PB–HAP
(other than lead compounds, which
were evaluated by comparison to the
secondary lead NAAQS) that were
included in the environmental
screening assessment and each of the
media when comparing to ecological
benchmarks. This is consistent with the
conservative design of Tier I of the
screen. In Tier II of the environmental
screening analysis for PB–HAP, we
refine the model inputs to account for
meteorological patterns in the vicinity
of the facility versus using upper-end
national values, and we identify the
locations of water bodies near the
facility location. By refining the
screening approach in Tier II to account
for local geographical and
meteorological data, we decrease the
likelihood that concentrations in
environmental media are overestimated,
thereby increasing the usefulness of the
screen. To better represent widespread
impacts, the modeled soil
concentrations are averaged in Tier II to
obtain one average soil concentration
value for each facility and for each PB–
HAP. For PB–HAP concentrations in
water, sediment and fish tissue, the
highest value for each facility for each
pollutant is used.
For the environmental screening
assessment for acid gases, we employ a
single-tiered approach. We use the
modeled air concentrations and
compare those with ecological
benchmarks.
For both Tiers I and II of the
environmental screening assessment,
our approach to addressing model input
uncertainty is generally cautious. We
choose model inputs from the upper
end of the range of possible values for
the influential parameters used in the
models, and we assume that the
exposed individual exhibits ingestion
behavior that would lead to a high total
exposure. This approach reduces the
likelihood of not identifying potential
risks for adverse environmental impacts.
Uncertainty also exists in the
ecological benchmarks for the
environmental risk screening analysis.
We established a hierarchy of preferred
benchmark sources to allow selection of
benchmarks for each environmental
HAP at each ecological assessment
endpoint. In general, EPA benchmarks
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used at a programmatic level (e.g.,
Office of Water, Superfund Program)
were used if available. If not, we used
EPA benchmarks used in regional
programs (e.g., Superfund Program). If
benchmarks were not available at a
programmatic or regional level, we used
benchmarks developed by other
agencies (e.g., NOAA) or by state
agencies.
In all cases (except for lead
compounds, which were evaluated
through a comparison to the NAAQS),
we searched for benchmarks at the
following three effect levels, as
described in section III.A.6. of this
notice:
1. A no-effect level (i.e., NOAEL).
2. Threshold-effect level (i.e., LOAEL).
3. Probable effect level (i.e., PEL).
For some ecological assessment
endpoint/environmental HAP
combinations, we could identify
benchmarks for all three effect levels,
but for most, we could not. In one case,
where different agencies derived
significantly different numbers to
represent a threshold for effect, we
included both. In several cases, only a
single benchmark was available. In
cases where multiple effect levels were
available for a particular PB–HAP and
assessment endpoint, we used all of the
available effect levels to help us to
determine whether risk exists and if the
risks could be considered significant
and widespread.
The EPA evaluates the following
seven HAP in the environmental risk
screening assessment: Cadmium,
dioxins/furans, POM, mercury (both
inorganic mercury and methyl mercury),
lead compounds, HCl and HF, where
applicable. These seven HAP represent
pollutants that can cause adverse
impacts for plants and animals either
through direct exposure to HAP in the
air or through exposure to HAP that is
deposited from the air onto soils and
surface waters. These seven HAP also
represent those HAP for which we can
conduct a meaningful environmental
risk screening assessment. For other
HAP not included in our screening
assessment, the model has not been
parameterized such that it can be used
for that purpose. In some cases,
depending on the HAP, we may not
have appropriate multipathway models
that allow us to predict the
concentration of that pollutant. The EPA
acknowledges that other HAP beyond
the seven HAP that we are evaluating
may have the potential to cause adverse
environmental effects and, therefore, the
EPA may evaluate other relevant HAP in
the future, as modeling science and
resources allow.
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Further information on uncertainties
and the Tier I and II screening methods
is provided in Appendix 4 of the
document ‘‘Technical Support
Document for TRIM-Based
Multipathway Tiered Screening
Methodology for RTR: Summary of
Approach and Evaluation.’’ Also, see
the Residual Risk Assessment for the
Ferroalloys Production Source Category
in Support of the September 2014
Supplemental Proposal, available in the
docket for this action.
B. How did we consider the risk results
in making decisions for this
supplemental proposal?
As discussed in section II.A of this
preamble, in evaluating and developing
standards under section 112(f)(2), we
apply a two-step process to address
residual risk. In the first step, the EPA
determines whether risks are acceptable.
This determination ‘‘considers all health
information, including risk estimation
uncertainty, and includes a presumptive
limit on maximum individual lifetime
[cancer] risk (MIR) 39 of approximately
[1-in-10 thousand] [i.e., 100-in-1
million].’’ 54 FR 38045, September 14,
1989. If risks are unacceptable, the EPA
must determine the emissions standards
necessary to bring risks to an acceptable
level without considering costs. In the
second step of the process, the EPA
considers whether the emissions
standards provide an ample margin of
safety ‘‘in consideration of all health
information, including the number of
persons at risk levels higher than
approximately 1-in-1 million, as well as
other relevant factors, including costs
and economic impacts, technological
feasibility, and other factors relevant to
each particular decision.’’ Id. The EPA
must promulgate emission standards
necessary to provide an ample margin of
safety.
In past residual risk actions, the EPA
considered a number of human health
risk metrics associated with emissions
from the categories under review,
including the MIR, the number of
persons in various risk ranges, cancer
incidence, the maximum non-cancer HI
and the maximum acute non-cancer
hazard. See, e.g., 72 FR 25138, May 3,
2007; 71 FR 42724, July 27, 2006. The
EPA considered this health information
for both actual and allowable emissions.
See, e.g., 75 FR 65068, October 21, 2010;
75 FR 80220, December 21, 2010; 76 FR
29032, May 19, 2011. The EPA also
discussed risk estimation uncertainties
39 Although defined as ‘‘maximum individual
risk,’’ MIR refers only to cancer risk. MIR, one
metric for assessing cancer risk, is the estimated
risk were an individual exposed to the maximum
level of a pollutant for a lifetime.
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and considered the uncertainties in the
determination of acceptable risk and
ample margin of safety in these past
actions. The EPA considered this same
type of information in support of this
action.
The agency is considering these
various measures of health information
to inform our determinations of risk
acceptability and ample margin of safety
under CAA section 112(f). As explained
in the Benzene NESHAP, ‘‘the first step
judgment on acceptability cannot be
reduced to any single factor’’ and thus
‘‘[t]he Administrator believes that the
acceptability of risk under [previous]
section 112 is best judged on the basis
of a broad set of health risk measures
and information.’’ 54 FR 38046,
September 14, 1989. Similarly, with
regard to the ample margin of safety
determination, ‘‘the Agency again
considers all of the health risk and other
health information considered in the
first step. Beyond that information,
additional factors relating to the
appropriate level of control will also be
considered, including cost and
economic impacts of controls,
technological feasibility, uncertainties,
and any other relevant factors.’’ Id.
The Benzene NESHAP approach
provides flexibility regarding factors the
EPA may consider in making
determinations and how the EPA may
weigh those factors for each source
category. In responding to comment on
our policy under the Benzene NESHAP,
the EPA explained that:
‘‘[t]he policy chosen by the Administrator
permits consideration of multiple measures
of health risk. Not only can the MIR figure
be considered, but also incidence, the
presence of non-cancer health effects, and the
uncertainties of the risk estimates. In this
way, the effect on the most exposed
individuals can be reviewed as well as the
impact on the general public. These factors
can then be weighed in each individual case.
This approach complies with the Vinyl
Chloride mandate that the Administrator
ascertain an acceptable level of risk to the
public by employing [her] expertise to assess
available data. It also complies with the
Congressional intent behind the CAA, which
did not exclude the use of any particular
measure of public health risk from the EPA’s
consideration with respect to CAA section
112 regulations, and thereby implicitly
permits consideration of any and all
measures of health risk which the
Administrator, in [her] judgment, believes are
appropriate to determining what will ‘protect
the public health’.’’
See 54 FR at 38057, September 14, 1989.
Thus, the level of the MIR is only one
factor to be weighed in determining
acceptability of risks. The Benzene
NESHAP explained that ‘‘an MIR of
approximately one in 10 thousand
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should ordinarily be the upper end of
the range of acceptability. As risks
increase above this benchmark, they
become presumptively less acceptable
under CAA section 112, and would be
weighed with the other health risk
measures and information in making an
overall judgment on acceptability. Or,
the Agency may find, in a particular
case, that a risk that includes MIR less
than the presumptively acceptable level
is unacceptable in the light of other
health risk factors.’’ Id. at 38045.
Similarly, with regard to the ample
margin of safety analysis, the EPA stated
in the Benzene NESHAP that: ‘‘EPA
believes the relative weight of the many
factors that can be considered in
selecting an ample margin of safety can
only be determined for each specific
source category. This occurs mainly
because technological and economic
factors (along with the health-related
factors) vary from source category to
source category.’’ Id. at 38061. We also
consider the uncertainties associated
with the various risk analyses, as
discussed earlier in this preamble, in
our determinations of acceptability and
ample margin of safety.
The EPA notes that it has not
considered certain health information to
date in making residual risk
determinations. At this time, we do not
attempt to quantify those HAP risks that
may be associated with emissions from
other facilities that do not include the
source categories in question, mobile
source emissions, natural source
emissions, persistent environmental
pollution or atmospheric transformation
in the vicinity of the sources in these
categories.
The agency understands the potential
importance of considering an
individual’s total exposure to HAP in
addition to considering exposure to
HAP emissions from the source category
and facility. We recognize that such
consideration may be particularly
important when assessing non-cancer
risks, where pollutant-specific exposure
health reference levels (e.g., RfCs) are
based on the assumption that thresholds
exist for adverse health effects. For
example, the agency recognizes that,
although exposures attributable to
emissions from a source category or
facility alone may not indicate the
potential for increased risk of adverse
non-cancer health effects in a
population, the exposures resulting
from emissions from the facility in
combination with emissions from all of
the other sources (e.g., other facilities) to
which an individual is exposed may be
sufficient to result in increased risk of
adverse non-cancer health effects. In
May 2010, the SAB advised the EPA
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‘‘that RTR assessments will be most
useful to decision makers and
communities if results are presented in
the broader context of aggregate and
cumulative risks, including background
concentrations and contributions from
other sources in the area.’’ 40
In response to the SAB
recommendations, the EPA is
incorporating cumulative risk analyses
into its RTR risk assessments, including
those reflected in this proposal. The
agency is: (1) Conducting facility-wide
assessments, which include source
category emission points as well as
other emission points within the
facilities; (2) considering sources in the
same category whose emissions result in
exposures to the same individuals; and
(3) for some persistent and
bioaccumulative pollutants, analyzing
the ingestion route of exposure. In
addition, the RTR risk assessments have
always considered aggregate cancer risk
from all carcinogens and aggregate noncancer hazard indices from all noncarcinogens affecting the same target
organ system.
Although we are interested in placing
source category and facility-wide HAP
risks in the context of total HAP risks
from all sources combined in the
vicinity of each source, we are
concerned about the uncertainties of
doing so. Because of the contribution to
total HAP risk from emission sources
other than those that we have studied in
depth during this RTR review, such
estimates of total HAP risks would have
significantly greater associated
uncertainties than the source category or
facility-wide estimates. Such aggregate
or cumulative assessments would
compound those uncertainties, making
the assessments too unreliable.
C. How did we perform the technology
review?
Our technology review focused on the
identification and evaluation of
developments in practices, processes
and control technologies that have
occurred since the MACT standards
were promulgated. Where we identified
such developments, in order to inform
our decision of whether it is
‘‘necessary’’ to revise the emissions
standards, we analyzed the technical
feasibility of applying these
developments and the estimated costs,
40 EPA’s responses to this and all other key
recommendations of the SAB’s advisory on RTR
risk assessment methodologies (which is available
at: https://yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPASAB-10-007-unsigned.pdf) are outlined in a memo
to this rulemaking docket from David Guinnup
entitled, EPA’s Actions in Response to the Key
Recommendations of the SAB Review of RTR Risk
Assessment Methodologies.
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energy implications, non-air
environmental impacts, as well as
considering the emission reductions.
We also considered the appropriateness
of applying controls to new sources
versus retrofitting existing sources.
Based on our analyses of the available
data and information, we identified
potential developments in practices,
processes and control technologies. For
this exercise, we considered any of the
following to be a ‘‘development’’:
• Any add-on control technology or
other equipment that was not identified
and considered during development of
the original MACT standards.
• Any improvements in add-on
control technology or other equipment
(that were identified and considered
during development of the original
MACT standards) that could result in
additional emissions reduction.
• Any work practice or operational
procedure that was not identified or
considered during development of the
original MACT standards.
• Any process change or pollution
prevention alternative that could be
broadly applied to the industry and that
was not identified or considered during
development of the original MACT
standards.
• Any significant changes in the cost
(including cost effectiveness) of
applying controls (including controls
the EPA considered during the
development of the original MACT
standards).
We reviewed a variety of data sources
in our investigation of potential
practices, processes or controls to
consider. Among the sources we
reviewed were the NESHAP for various
industries that were promulgated since
the MACT standards being reviewed in
this action. We reviewed the regulatory
requirements and/or technical analyses
associated with these regulatory actions
to identify any practices, processes and
control technologies considered in these
efforts that could be applied to emission
sources in the Ferroalloys Production
source category, as well as the costs,
non-air impacts and energy implications
associated with the use of these
technologies. Additionally, we
requested information from facilities
regarding developments in practices,
processes or control technology. Finally,
we reviewed information from other
sources, such as state and/or local
permitting agency databases and
industry-supported databases.
For the 2011 proposal, our technology
review focused on the identification and
evaluation of developments in practices,
processes and control technologies that
have occurred since the 1999 NESHAP
was promulgated. In cases where the
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technology review identified such
developments, we conducted an
analysis of the technical feasibility of
applying these developments, along
with the estimated impacts (costs,
emissions reductions, risk reductions,
etc.) of applying these developments.
We then made decisions on whether it
is necessary to propose amendments to
the 1999 NESHAP to require any of the
identified developments. Based on our
analyses of the data and information
collected by the 2010 ICR and our
general understanding of the industry
and other available information on
potential controls for this industry, we
identified several potential
developments in practices, processes
and control technologies.
Based on our technology review for
the 2011 proposed rule, we determined
that there had been advances in
emissions control measures since the
Ferroalloys Production NESHAP was
originally promulgated in 1999. Based
on that review, we proposed lower PM
emissions limits for the process vents
because we determined that the existing
add-on control devices (baghouses and
wet venture scrubbers) were achieving
better control than that reflected by the
emissions limits in the 1999 MACT rule.
Furthermore, based on that previous
technology review, to reduce fugitive
process emissions, in 2011 we proposed
a requirement for sources to enclose the
furnace building, prevent the fugitive
emissions from being released to the
atmosphere by maintaining the furnace
building under negative pressure and
collect and duct those fugitive
emissions to a control device. We
proposed that approach in 2011,
because at that time, we believed it
represented a technically-feasible costeffective advance in emissions control
since the Ferroalloys Production
NESHAP was originally promulgated in
1999. Additional details regarding the
previously-conducted technology
review can be found in the Technology
Review for Ferroalloys Production
Source Category (Docket No. EPA–HQ–
OAR–2010–0895–0044), which is
available in the docket and are
discussed in the preamble to the 2011
proposal (76 FR 72508). However, we
received significant adverse public
comments regarding the proposed
requirement for full-enclosure with
negative pressure. After reviewing and
considering the comments and other
information regarding the costs and
feasibility of full-enclosure, we
determined that full-enclosure with
negative pressure may not be feasible for
these facilities and, if feasible, would be
much more costly than what we had
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estimated for the 2011 proposal.
Therefore we evaluated other potential
approaches to reduce fugitive process
emissions based on enhanced local
capture and control of the fugitive
emissions and secondary capture and
control, which are described in more
detail below.
We also gathered additional emissions
data for the process vents. Therefore, we
have updated and revised our
technology review for the process vent
emissions and fugitive emissions
control options. The following
paragraphs describe the up-dated and
revised technology review and
additional analyses that were performed
for today’s supplemental proposal.
1. Process Vent Emission Limits
The ferroalloy production facilities
have add-on control devices such as
venturi scrubbers or fabric filters to
control emissions of metal HAP from
the furnace operations. The furnace
operations include charging, smelting
and tapping. Other operations that take
place inside the furnace buildings
include casting and ladle treatment. The
vast majority of emissions from the
charging and smelting processes are
currently vented to the add-on control
devices. However, the percent of
emissions currently captured and
controlled from tapping, ladle treatment
and casting are considerably lower and
varies across furnaces. The ferroalloy
production facilities also use add-on
control devices to reduce emissions
from the metal oxygen refining (MOR)
process, local ventilation sources (e.g.,
tapping fugitive control device) and the
product crushing operations.
To evaluate the effectiveness of these
emission control technologies currently
used to reduce emissions and meet the
emission limits in the 1999 MACT rule,
an ICR under section 114 of the Clean
Air Act was sent to each of the
ferroalloy production facilities on April
28, 2010 and December 21, 2012 to
gather source emissions test data and
other information for the furnaces, the
MOR process and the product crushing
operations. The HAP source test data
that were collected from the control
device outlet for each furnace include:
metal HAP (arsenic, cadmium,
chromium (total and Cr+6), lead
compounds, manganese, mercury and
nickel) 41, HCl, formaldehyde, PAH,
41 Total phosphorus was also measured for the
ICR using EPA Method 29; however this method
does not distinguish between white phosphorus
(which is a non-HAP) and red phosphorus (which
is a HAP). Due to the uncertainty of the percentage
of red phosphorus in the total phosphorus test
results, it was concluded that phosphorus would
not be incorporated in the emissions used for
modeling.
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PCB and chlorodibenzodioxins and
chlorodibenzofurans (CDD/CDF). In
addition, emissions were measured from
the furnace control device outlet for two
non-HAP air pollutants (carbon
monoxide and particulate matter). The
pollutants measured from the MOR and
crushing and sizing operations in 2010
include particulate matter (PM) and
metal HAP (arsenic, total chromium,
lead compounds, manganese, mercury
and nickel).42 In addition, the facilities
provided compliance test reports from
2011 and 2012 and additional emissions
data they collected voluntarily, which
included test data for PM, metal HAP
(arsenic, cadmium, total chromium, lead
compounds, manganese, mercury and
nickel) and organic HAP (PAH, PCB,
CDD/CDF) from the furnace control
device outlets.
The test data collected from the ICR
responses, the compliance reports and
other testing indicate that the PM
emissions from the furnace process
vents (also known as process stacks) are
well below the level of emissions
allowed by the current emission
standards in subpart XXX. In the 2011
proposal, we proposed lower PM limits
to reflect the better performance of these
sources. We also proposed lower limits
for the MOR process and the crushing
and screening process vents in the 2011
proposal. We did not receive any
additional test data for the MOR process
or the crushing and screening process
since the 2011 proposal and have
received no other information indicating
that changes to the limits we proposed
in 2011 for these sources are necessary,
therefore we plan no changes to the
proposed emission standards in this
supplemental proposal for the MOR
process and the crushing and screening
processes.
However, for the furnace process
vents, we did receive additional data
and based on that data combined with
the data we already had, we evaluated
whether it is appropriate to propose
revised emissions limits for PM from the
furnace process vents. We also reevaluated the proposed emission limits
for the local ventilation system based on
the new test data received. Further
discussions of the re-evaluations and
the proposed revised limits are
presented in Section IV below.
For purposes of addressing new
ferroalloy production facilities, we
considered the feasibility of more
stringent emission limits. Specifically,
we examined what emission level could
be met using available add-on control
42 Total phosphorus was also measured using
Method 29, but was not used in the technology
review.
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devices and the emission concentrations
that could be achieved by the use of the
control devices. The results of this
analysis and the proposed decisions are
described in Section IV below.
2. Process Fugitive Control Standards
We re-evaluated the costs and
operational feasibility associated with
the option of requiring full building
enclosure with negative pressure at all
openings. We also consulted with
ventilation experts working with hot
process fugitives like those found in the
ferroalloys industry (e.g., electric arc
furnace steel mini-mills and secondary
lead smelters). Furthermore, we
received detailed information from each
of the Ferroalloys facilities that provides
an alternative approach to achieve
significant reductions of process fugitive
emissions using enhanced local capture,
including primary and secondary hoods,
which would effectively capture most of
the fugitive process emissions and route
these emissions to a PM control device
(e.g., baghouse or wet scrubber). The
plans provided by the facilities are
designed to achieve a high overall level
of control. These plans are available in
the docket for this action (identified by
document numbers: EPA–HQ–OAR–
2010–0895–0106 and EPA–HQ–OAR–
2010–0895–0073).
We also reviewed other options to
control process fugitive emissions.
When we consider the evolution of the
EPA rules on process fugitives in the
metallurgical industry, we observe that
the primary emphasis on quantifiable
emission standards is based on
controlling stack emissions with a high
degree of efficiency. Standards related
to emissions capture are generally
related to parameter monitoring of flow
rates and damper positions of capture
equipment when the stack emission test
is occurring. There typically has not
been an independent evaluation of the
effectiveness of process fugitive control
through local ventilation in a
quantitative, rigorous manner.
However, there is a history of
addressing fugitive emissions by
requiring a building opacity limit,
including a 20 percent limit in the
current subpart XXX (although this limit
also contains a 60-percent short-term
excursion and it excludes some key
process fugitives events such as casting).
Subpart FFFFF of Part 63, National
Emission Standards for Hazardous Air
Pollutants for Integrated Iron and Steel
Manufacturing Facilities, contains
various building opacity limits ranging
from 20 percent for existing sources to
10 percent for new sources. Section
60.272a in the Subpart AAa—Standards
of Performance for Steel Plants: Electric
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60259
Arc Furnaces and Argon-Oxygen
Decarburization Vessels Constructed
After August 17, 1983 establishes a shop
building opacity limit of 6 percent, due
solely to the operations of affected
electric arc furnace (EAF)(s) or argonoxygen decarburization vessel (AOD
vessel)(s). Building opacity limits in
these rules serve as an emissions
standard for the control of process
fugitive emissions. Opacity limits can
ensure effective capture and control of
these fugitive emissions if they are
established at the appropriate levels and
have appropriate compliance
monitoring requirements to ensure the
fugitive emissions are minimized
continuously over time.
After reviewing and evaluating
available information regarding
approaches to reduce process fugitive
emissions, we revised our analysis of
options to control these fugitive
emissions. The results of the revised
analyses of control options for process
fugitive emissions are summarized in
Section IV and also presented in the
Cost Impacts of Control Options to
Address Fugitive HAP Emissions for the
Ferroalloys Production NESHAP
Supplemental Proposal document and
the Revised Technology Review for the
Ferroalloys Production Source Category
for the Supplemental Proposal
document (Revised Technology Review
document), which are available in the
docket.
IV. Revised Analytical Results and
Proposed Decisions for the Ferroalloys
Production Source Category
A. What actions are we taking pursuant
to CAA sections 112(d)(2) and
112(d)(3)?
As described previously, CAA section
112(d) requires the EPA to promulgate
national technology-based emission
standards for hazardous air pollutants
(NESHAP) for listed source categories,
including this source category. In the
2011 proposal, we proposed emissions
limits for mercury, PAHs and HCl,
which were previously unregulated
HAP, pursuant to section 112(d)(2) and
112(d)(3). After proposal, we received a
substantial amount of additional data
for these HAP and re-analyzed the
proposed limits for these HAP
considering the additional data.
Based on those analyses we
determined it is appropriate to propose
revised limits for these three HAP.
Therefore, in today’s supplemental
notice, we are proposing revised
emissions limits pursuant to section
112(d)(2) and 112(d)(3) for mercury,
PAHs and HCl. In this section, we
describe how we developed the revised
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proposed standards for these HAP,
including how we calculated MACT
floor limits, how we account for
variability in those floor calculations
and how we considered beyond the
floor (BTF) options. The revised MACT
analyses for these previously
unregulated pollutants (i.e., mercury,
PAH and HCl) are presented in the
following paragraphs. For more
information on these analyses, see the
Revised MACT Floor Analysis for the
Ferroalloys Production Source Category
and the Mercury Control Options and
Impacts for the Ferroalloys Production
Industry documents which are available
in the docket for this action.
tkelley on DSK3SPTVN1PROD with PROPOSALS2
1. How do we develop MACT floor
limits?
As discussed in the 2011 proposal (76
FR 72508), the MACT floor limit for
existing sources is calculated based on
the average performance of the best
performing units in each category or
subcategory, and also on a consideration
of these units’ variability, and the
MACT floor for new sources is based on
the single best performing source, with
a similar consideration of that source’s
variability. The MACT floor for new
sources cannot be less stringent than the
emissions performance that is achieved
in practice by the best-controlled similar
source. To account for variability in the
operation and emissions, the stack test
data were used to calculate the average
emissions and the 99 percent upper
predictive limit (UPL) to derive the
MACT floor limits. For more
information regarding the general use of
the UPL and why it is appropriate for
calculating MACT floors, see the
memorandum titled Use of the Upper
Prediction Limit for Calculating MACT
Floors (UPL Memo), which is available
in the docket for this action.
Furthermore, with regard to calculation
of MACT Floor limits based on limited
datasets, we considered additional
factors as summarized below and
described in more details in the
memorandum titled: Approach for
Applying the Upper Prediction Limit to
Limited Datasets, which is available in
the docket for this action.
2. What is our approach for applying the
upper prediction limit to limited
datasets?
The UPL approach addresses
variability of emissions data from the
best performing source or sources in
setting MACT standards. The UPL also
accounts for uncertainty associated with
emission values in a dataset, which can
be influenced by components such as
the number of samples available for
developing MACT standards and the
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number of samples that will be collected
to assess compliance with the emission
limit. The UPL approach has been used
in many environmental science
applications.43 44 45 46 47 48 As explained
in more detail in the UPL Memo, the
EPA uses the UPL approach to
reasonably estimate the emissions
performance of the best performing
source or sources to establish MACT
floor standards.
With regard to the derivation of
MACT limits using limited datasets, in
a recent D.C. Circuit Court of Appeals
decision in National Association of
Clean Water Agencies v. EPA (NACWA),
which involved challenges to EPA’s
MACT standards for sewage sludge
incinerators, questions were raised
regarding the application of the UPL to
limited datasets. We have since
addressed these questions, as explained
in detail in the memorandum titled:
Approach for Applying the Upper
Prediction Limit to Limited Datasets
(i.e., Limited Dataset Memo), which is
available in the docket for this action.
We seek comments on the approach
described in the Limited Dataset Memo
and whether there are other approaches
we should consider for such datasets.
We also seek comments on the
application of this approach for the
derivation of MACT limits based on
limited datasets in this supplemental
proposal, which are described in the
following sections of today’s notice and
in the Limited Dataset Memo.
43 Gibbons, R. D. (1987), Statistical Prediction
Intervals for the Evaluation of Ground-Water
Quality. Groundwater, 25: 455–465 and Hart,
Barbara F. and Janet Chaseling, Optimizing Landfill
Ground Water Analytes—New South Wales,
Australia, Groundwater Monitoring & Remediation,
2003, 23, 2.
44 Wan, Can; Xu, Zhao; Pinson, Pierre; Dong,
Zhao Yang; Wong, Kit Po. Optimal Prediction
Intervals of Wind Power Generation. 2014. IEEE
Transactions on Power Systems, ISSN 0885–8950,
29(3): pp. 1166–1174.
45 Khosravi, Abbas; Mazloumi, Ehsan; Nahavandi,
Saeid; Creighton, Doug; van Lint, J. W. C. Prediction
Intervals to Account for Uncertainties in Travel
Time Prediction. 2011. IEEE Transactions on
Intelligent Transportation Systems, ISSN 1524–
9050, 12(2):537–547.
46 Ashkan Zarnani; Petr Musilek; Jana
Heckenbergerova. 2014. Clustering numerical
weather forecasts to obtain statistical prediction
intervals. Meteorological Applications, ISSN 1350–
4827. 21(3): 605.
47 Rayer, Stefan; Smith, Stanley K; Tayman, Jeff.
2009. Empirical Prediction Intervals for County
Population Forecasts. Population Research and
Policy Review, 28(6): 773–793.
48 Nicholas A Som; Nicolas P Zegre; Lisa M
Ganio; Arne E Skaugset. 2012. Corrected prediction
intervals for change detection in paired watershed
studies. Hydrological Sciences Journal, ISSN 0262–
6667, 57(1): 134–143
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3. How did we apply the approach for
limited datasets to limited datasets in
the ferroalloys source category?
For the ferroalloys source category,
we have limited datasets for the
following pollutants and subcategories:
PAHs for existing and new furnaces
producing ferromanganese (FeMn);
PAHs for new furnaces producing
silicon manganese (SiMn); mercury for
new furnaces producing SiMn; mercury
for existing and new furnaces producing
FeMn; and HCl for new furnaces
producing FeMn or SiMn. Therefore, we
evaluated these specific datasets to
determine whether it is appropriate to
make any modifications to the approach
used to calculate MACT floors for each
of these datasets.
For each dataset, we performed the
steps outlined in the Limited Dataset
Memo, including: Ensuring that we
selected the data distribution that best
represents each dataset; ensuring that
the correct equation for the distribution
was then applied to the data; and
comparing individual components of
each small dataset to determine if the
standards based on small datasets
reasonably represent the performance of
the units included in the dataset. The
results of each analysis are described
and presented below in the applicable
sections for each of the three HAP (i.e.,
mercury, PAHs and HCl). We seek
comments regarding the specific
application of the limited dataset
approach used to derive the proposed
emissions limits for Hg, PAHs and HCl
described in the sections below.
4. How did we develop proposed limits
for mercury emissions?
a. Background on Mercury
As described above, we obtained
significant additional data on mercury
emissions from the two ferroalloys
production facilities since the 2011
proposal. In particular, we obtained data
from each furnace and for each product
type (ferromanganese and
silicomanganese). While the mercury
test data from the 2010 ICR were
collected using EPA Method 29 and the
mercury test data from the 2012 ICR and
other submitted test reports were
collected using EPA Method 30B, the
mercury test results from the two test
methods were considered to be
comparable and were used in the MACT
Floor analysis. All of the test reports
provided analytical results for mercury
that were above the detection limit.
The raw materials used to produce
ferroalloys contain various amounts of
mercury, which is emitted during the
smelting process. These mercury
emissions are derived primarily from
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the manganese ore although there may
be trace amounts in the coke or coal
used in the smelting process. Some of
the mercury that is in oxidized form is
captured on the particulate matter (PM)
and then collected in the particle
control device (e.g., fabric filter or wet
scrubber). In contrast, most of the
gaseous elemental mercury is not
captured by these particulate control
devices and is largely emitted to the
atmosphere. Based on the available
emissions test data, we estimate Eramet
(which, as noted above, produces FeMn
and SiMn) emits about 342 pounds per
year of mercury from their furnaces and
that Felman, which produces only
SiMn, emits about 35 lb/yr of mercury
from their furnaces. Pursuant to CAA
section 112(d)(2) and 112(d)(3), we are
proposing to revise the 1999 NESHAP to
include emission limits for mercury.
b. Calculation of MACT Floor Limits for
Mercury
With regard to determining
appropriate MACT limits for mercury,
importantly, the new test data confirm
that ferromanganese (FeMn) production
has substantially higher mercury
emissions compared to silicomanganese
(SiMn) production and that emissions
are considerably higher at Eramet as
compared to Felman. This finding is
based on an analysis of the productspecific data sets. Furthermore, we
evaluated differences in the processes
and input materials to try to determine
the reasons for the significant difference
in mercury emissions. Based on this
evaluation, we have determined the
input material recipes for producing the
different products are quite different. In
the case of FeMn production, much
more of the Mn ore and high carbon
coke are used to reduce the MnO2 in the
ore to Mn to produce FeMn. We
conclude the difference in emissions of
mercury is due to the significant
differences in the input materials and
recipe for FeMn as compared to SiMn
production.
Because of the significant differences
in the input material and the mercury
emissions between FeMn and SiMn, we
determined that subcategories should be
created for ferromanganese and
silicomanganese production, with
separate MACT limits for mercury
proposed for each ferroalloys product
(FeMn and SiMn).
The MACT floor dataset for mercury
from existing and new furnaces
producing FeMn includes 6 test runs
from a single furnace. As described
above, this dataset (for the calculation of
MACT limits for mercury from furnaces
producing FeMn) was considered
limited and therefore we followed the
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steps described in the Limited Dataset
Memo to determine the appropriate
MACT floor limits for mercury for
furnaces producing FeMn. We first
determined that the dataset is best
represented by a normal distribution
and ensured that we used the correct
equation for the distribution. Because
the floor for both existing and new
furnaces is based on the performance of
a single unit, our evaluation of the data
was limited to ensuring that the
emission limit is a reasonable estimate
of the performance of the unit based on
our knowledge about the process and
controls. Accordingly, we compared the
calculated emission limit to the highest
measured value and the average shortterm emissions from the unit, and found
that the calculated emission limit is
about 2.5 times the short-term average
from the unit, which is within the range
that we see when we evaluate larger
data sets using our MACT floor
calculation procedures. The fairly wide
range in mercury emissions shown by
the available data for this best
performing unit indicate that variability
is significant, and we determined that
the emission limit is representative of
the actual performance of the unit upon
which the limit is based, considering
variability. Therefore, we determined
that no changes to our standard floor
calculation procedure were warranted
for this pollutant and subcategory, and
we are proposing that the MACT floor
is 170 mg/dscm for Hg from existing
furnaces producing FeMn. We also note
that while we calculated the same
MACT floor value for new sources, we
are proposing a beyond-the-floor
standard for new sources, which is
discussed later in this section of this
preamble.
The MACT floor dataset for mercury
from new furnaces producing SiMn
includes 3 test runs from a single
furnace (furnace #7 at Felman) that we
identified as the best performing unit
based on average emissions. After
determining that the dataset is best
represented by a normal distribution
and ensuring that we used the correct
equation for the distribution, we
evaluated the variance of this unit
(furnace #7 at Felman). Our analysis
showed that this unit, identified as the
best unit based on average emissions,
also had the lowest variance, indicating
consistent performance. Therefore, we
determined that the emission limit
reasonably accounts for variability and
that no changes to the standard floor
calculation procedure were warranted
for this pollutant and subcategory, and
we are proposing that the MACT floor
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is 4.0 mg/dscm for Hg from new furnaces
producing SiMn.
With regard to mercury emissions
from existing furnaces producing SiMn,
we have 12 test runs in our dataset. This
data set was not determined to be a
limited data set. Using the 99 percent
UPL method described above, we
calculated the MACT floor limit (or 99
percent UPL) for exhaust mercury
concentrations from existing furnaces
producing SiMn to be 12 mg/dscm.
The MACT floor limits for mercury
for existing furnaces are higher than the
actual emissions measured during the
ICR performance tests at each plant due
to an allowance for variability reflected
in the UPL. We anticipate that both of
the existing sources would be able to
meet these product-specific MACT
Floor limits for existing sources without
installing additional controls. Therefore,
the costs and reductions for the MACT
floor option were estimated to be zero
because we conclude that the facilities
would be able to meet the mercury
limits with their current furnace
controls.
The next step in establishing MACT
standards is the BTF analysis. In this
step, we investigate other mechanisms
for further reducing HAP emissions that
are more stringent than the MACT floor
level of control in order to ‘‘require the
maximum degree of reduction in
emissions’’ of HAP. In setting such
standards, section 112(d)(2) requires the
Agency to consider the cost of achieving
the additional emission reductions, any
non-air quality health and
environmental impacts and energy
requirements. Historically, these factors
have included factors such as solid
waste impacts of a control, effects of
emissions on bodies of water, as well as
the energy impacts.
c. Beyond the Floor Analysis for
Mercury for Existing Furnaces
As described below, we considered
BTF control options to further reduce
emissions of mercury. The BTF mercury
control options were developed
assuming sub-categorization of furnace
melting operations into ferromanganese
production operations and
silicomanganese production operations
and installing activated carbon injection
(ACI) technology with brominated
carbon to control mercury emissions.
The BTF mercury limits would be
based on the estimated mercury
emission reduction that can be achieved
through the use of ACI and brominated
carbon. The bromine in the activated
carbon can oxidize elemental mercury
(Hg0) to oxidized mercury (Hg+2). The
oxidized mercury is then suitable for
capture on the activated carbon sorbent
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or further reacts with the bromine to
produce mercuric bromide (HgBr2). Both
the oxidized mercury and the mercuric
bromide can be removed using a PM
control device. It is generally accepted
that the installation of ACI in
conjunction with a fabric filter achieves
at least 90 percent reduction of
mercury.49
All three furnaces at Felman and one
of the two furnaces at Eramet (Furnace
#1) are equipped with a fabric filter
system to reduce PM. The other furnace
at Eramet (Furnace #12) controls PM
using a wet venturi scrubber. Limited
data are available for mercury reduction
using ACI with a venturi scrubber
system, as described in the mercury
control options memorandum.50
However, we identified one study
conducted by the Minnesota Taconite
Mercury Control Advisory Committee
that evaluated mercury reductions from
particulate scrubber systems and ACI.51
In 2011, a field trial was conducted at
Hibbing Taconite to demonstrate the
effectiveness of brominated ACI in
controlling mercury emissions from a
taconite facility. The trial of the
brominated ACI system was conducted
in September and October 2011 and it
was determined that 75 percent Hg
removal could be achieved with a
brominated ACI rate of about 3 lb/
MMacf (126 lb/hr) for the taconite iron
ore processing sources. This 75 percent
mercury reduction was demonstrated
during a two-week continuous injection
run in this study. The project also noted
that better mercury removal results
could be achieved with improved
sorbent distribution. Therefore,
although the ferroalloys production
furnaces are different than the taconite
production sources, we assume that the
retrofit of ACI on the furnace at Eramet
controlled by a wet scrubber would
achieve 50 percent additional mercury
reduction beyond the level of control
that the scrubber is currently achieving.
Because of the lower potential mercury
reductions expected for brominated
carbon ACI and a venturi scrubber
(compared to the reductions that would
be achieved with use of ACI with fabric
49 Sargent & Lundy, IPM Model—Revisions to
Cost and Performance for APC Technologies,
Mercury Control Cost Development, Final, March
2013.
50 Memorandum from Bradley Nelson, EC/R to
Phil Mulrine, EPA OAQPS/SPPD/MICG, Mercury
Control Options and Impacts for the Ferroalloys
Production Industry, March 16, 2014.
51 Michael E Berndt, Minnesota Department of
Natural Resources, Division of Lands and Minerals,
Minnesota Taconite Mercury Control Advisory
Committee: Summary of Phase One Research
Results (2010–2012), November 29, 2012. https://
files.dnr.state.mn.us/lands_minerals/reclamation/
berndt_2012_final.pdf.
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filters), we determined that a reduction
of 50 percent should be used in
establishing the BTF mercury emissions
limit to ensure that the limit could be
achieved with brominated ACI on both
furnaces at all times during FeMn
production. Therefore, the BTF limit for
FeMn production for existing sources
would be 82 mg/dscm.
We estimated the capital costs,
annualized costs, emissions reductions
and cost effectiveness for the BTF limits
for FeMn and SiMn production sources.
The details regarding how these limits
were derived and the estimated costs
and expected reductions of mercury
emissions by installing ACI controls, are
provided in the Mercury Control
Options and Impacts for the Ferroalloys
Production Industry document which is
available in the docket.
Regarding the BTF control option for
existing sources that produce
ferromanganese, we estimated the costs
and reductions based on the installation
of ACI on Furnaces 1 and 12 at Eramet
with operation only during the
production of ferromanganese and a
polishing baghouse on Furnace 1. Other
costs include labor, materials and waste
disposal. The emissions and annual cost
for this BTF control option are based on
the assumption that both furnaces at
Eramet produce ferromanganese 50
percent of the time annually and
produce SiMn the other 50 percent of
the year. We based this reasonable
assumption on available information
regarding production patterns for the 2
products at Eramet. The estimated
mercury reduction that would be
achieved at Furnace 1 at Eramet (which
is currently controlled with a baghouse)
is assumed to be 90 percent based on
the installation of ACI and a new
polishing baghouse. Regarding Furnace
12 at Eramet (which is currently
controlled with a wet venturi scrubber),
the mercury reductions that would be
achieved with brominated ACI are
assumed to be 50 percent. For the BTF
control option for existing sources that
produce ferromanganese, we estimate
the capital costs would be about $30
million, annualized costs of about $3.3
million and would achieve about 191
pounds per year of reductions in
mercury emissions, which results in
estimated cost-effectiveness of about
$17,600 per pound. All the costs and
reductions would be at Eramet since
Eramet is the only facility in the U.S.
that produces FeMn.
As stated earlier the cost-effectiveness
is estimated to be $17,600/lb. However,
it is important to note that costeffectiveness is but one factor we
consider in assessing the cost of the
emission reduction at issue here. See
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NRDC v. EPA, 749 F.3d 1055, 1060 (D.C.
Cir. April 18, 2014) (‘‘Section 112 does
not command EPA to use a particular
form of cost analysis.’’). We also
consider other factors in assessing the
cost of the emission reduction as part of
our beyond-the-floor analysis,
including, but not limited to, total
capital costs, annual costs and costs
compared to total revenues (e.g., costs to
revenue ratios).
As mentioned above, we estimate the
capital costs would be about $30
million, annualized costs of about $3.3
million and that all these costs would be
for Eramet, which is the only facility in
the United States that produces FeMn.
Furthermore, we estimate the annual
costs for BTF controls for mercury at
Eramet (in addition to the costs for
controls for fugitive HAP emissions
required as part of the risk analysis
explained later in this preamble) would
be about 3 percent of revenues, which
we believe is potentially significant
given the facts at issue here. In addition,
it is our understanding that for the past
few years the plant has not made any
profits. More details regarding the
potential economic impacts of the BTF
option are provided in the Economic
Impact Analysis (EIA) for the
Manganese Ferroalloys RTR
Supplemental Proposal document
which is available in the docket for this
action.
We also evaluated an approach that
could reduce the compliance costs of
the BTF option. We considered the
possibility that Eramet could potentially
decide to produce FeMn in only one
furnace and if so, would only need to
install ACI for 1 furnace. If so, the costs
for Eramet to comply with the BTF
option could be significantly lower.
This approach would reduce production
flexibility, which could pose significant
production issues for the company, but
would allow Eramet to avoid some of
the emissions control costs under the
BTF option. However, we realize there
would likely be production issues and
other issues, with this approach.
Furthermore, we believe it would be
inappropriate for the rule to essentially
restrict production flexibility. Therefore
for our cost impacts analysis of the BTF
option we have assumed brominated
ACI would be needed for both furnaces.
Based on the available economic
information, assuming market
conditions remain approximately the
same, we believe Eramet Marietta would
not be able to sustain the costs of BTF
mercury controls (in addition to the
fugitive control costs required as part of
the risk analysis explained later in this
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preamble, in Section IV.C.).52 This
would likely result in substantial
economic impacts in the short-term and
potential closure of the facility in the
longer-term. Since Eramet Marietta is
the only facility in the United States
which produces FeMn, closure of this
facility would eliminate 100 percent of
the United States production of FeMn,
which is an important product for the
steel industry. After considering all the
factors described above, we are not
proposing BTF limits for mercury for
FeMn production.
We also evaluated possible BTF
controls for existing SiMn production
sources, which have much lower
mercury emissions as compared to
FeMn production. We estimated that the
BTF option for SiMn would achieve an
additional 60 pounds/year reductions
and that the cost-effectiveness would be
about $109,000 per pound of mercury
reduced for SiMn production, which we
conclude is not cost-effective as a BTF
option. Furthermore, based on our
economic analyses, we believe that the
Felman facility could be at potential risk
of closure under this option, especially
given that these costs would be in
addition to the costs for controlling
fugitive HAP metals emissions (such as
Mn, As, Ni and Cd). Therefore, we are
not proposing BTF limits for mercury
for SiMn production.
d. Beyond the Floor Analysis for New
and Reconstructed Furnaces
Regarding BTF controls for new or
major reconstructed furnaces, we
believe such sources would be
constructed to include a baghouse as the
primary PM control device (in order to
comply with the proposed lower new
source limits for PM) and then they
could add ACI after the baghouse for
mercury control along with a polishing
baghouse and would achieve at least 90
percent reduction. Therefore, the BTF
limit for new FeMn production sources
is calculated to be 17 mg/dscm.
Regarding SiMn, the BTF limit for new
sources producing SiMn would be 1.2
mg/dscm.
The estimated costs for beyond the
floor controls for mercury for new and
reconstructed sources are based on the
costs of installing and operating
brominated ACI and a polishing
baghouse. Based on this, we estimate
that the cost effectiveness of BTF
controls for a new and major
reconstructed FeMn production source
would be about $12,000/lb. Therefore,
we conclude that BTF controls would be
cost-effective and feasible for any new
60263
or major reconstructed furnace that
produces FeMn. Therefore we are
proposing a limit of 17 mg/dscm for new
or major reconstructed furnaces that
produce FeMn.
However, for a new SiMn production
source, the cost effectiveness would be
at least $51,000/lb. Therefore, we
believe BTF controls for new SiMn
production sources would not be costeffective. Furthermore, for SiMn
production, as described above, the new
source MACT floor limit is already low
(i.e., 4.0 mg/dscm). Therefore we are
proposing an emissions limit of 4.0 mg/
dscm for new or major reconstructed
SiMn production furnaces based on the
new source MACT Floor.
e. Proposed Limits for Existing, New
and Reconstructed Sources
Based on all our analyses described
above, we are proposing mercury limits
based on the MACT Floor (UPL) for
each product type (ferromanganese,
silicomanganese) for existing furnaces;
BTF limits for mercury for new and
reconstructed FeMn production
furnaces; and mercury limits for new
and reconstructed SiMn production
furnaces based on the MACT Floor.
These limits are summarized in Table 4.
TABLE 4—SUMMARY OF THE PROPOSED MERCURY CONTROL EMISSIONS LIMITS (μg/dscm) FROM THE FURNACE MELTING
PROCESSES
Proposed mercury controls
MACT Floor limits for FeMn and SiMn existing sources; BTF
limit for new and reconstructed FeMn sources; and MACT
floor limit for new and reconstructed SiMn sources ............
170
SiMn
production
(new and
reconstructed
sources)
SiMn
production
(existing
sources)
17
12
4.0
As described above, we obtained
additional data on PAH emissions from
the two ferroalloys production facilities
since the 2011 proposal. In particular,
we obtained data from each furnace and
for each product type (FeMn and SiMn).
We used the resulting dataset to reevaluate the MACT floor limits and BTF
options. For more information on this
analysis, see Revised MACT Floor
Analysis for the Ferroalloys Production
Source Category, which is available in
the docket.
As in the case of the mercury analysis,
our results show that there is a
significant difference in PAH emissions
during FeMn production as compared to
SiMn production. Furthermore, similar
to mercury, we conclude that this
difference is due to significant
differences in the recipe and input
materials for FeMn compared to SiMn
production.
Therefore, we determined that it
would be appropriate to have two
subcategories for PAH emissions and
establish separate MACT limits for each
of these two subcategories.
The MACT floor dataset for PAHs
from existing furnaces producing FeMn
includes 6 test runs from 2 furnaces. As
described above, this dataset (for the
calculation of the MACT Floor limit for
PAHs for FeMn production furnaces)
was considered a limited dataset and
therefore we followed the steps
described in the Limited Dataset Memo
to determine the appropriate MACT
Floor limit for PAHs for these sources.
This subcategory includes only two
units, and the CAA specifies that the
existing source MACT floor for
subcategories with fewer than 30
sources shall not be less stringent than
‘‘the average emission limitation
achieved by the best performing 5
sources.’’ However, since there are only
2 units in the subcategory and we have
data for both units, the data from both
units serve as the basis for the MACT
floor. After determining that the dataset
is best represented by a normal
distribution and ensuring that we used
52 As noted in our risk analysis explained later in
this preamble, proposal of the MACT floor standard
for mercury (along with the controls for fugitive
manganese emissions, which are explained later in
this preamble) provide an ample margin of safety
to protect public health.
5. How did we develop proposed limits
for Polycyclic Aromatic Hydrocarbons
(PAHs)?
tkelley on DSK3SPTVN1PROD with PROPOSALS2
FeMn
production
(new and
reconstructed
sources)
FeMn
production
(existing
sources)
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the correct equation for the distribution,
we considered the selection of a lower
confidence level for determining the
emission limit by evaluating whether
the calculated limit reasonably
represents the performance of the units
upon which it is based. In this case,
where two units make up the pool of
best performers, the calculated emission
limit is about twice the short-term
average emissions from the best
performing sources, indicating that the
emission limit is not unreasonable
compared to the actual performance of
the units upon which the limit is based
and is within the range that we see
when we evaluate larger datasets using
our MACT floor calculation procedures.
Therefore, we determined that no
changes to our standard floor
calculation procedure are warranted for
this pollutant and subcategory, and we
are proposing that the MACT floor is
1,400 mg/dscm for PAHs from existing
furnaces producing FeMn.
The MACT floor dataset for PAHs
from new furnaces producing FeMn
includes 3 test runs from a single
furnace (furnace #12 at Eramet) that we
identified as the best performing unit
based on average emissions
performance. After determining that the
dataset is best represented by a normal
distribution and ensuring that we used
the correct equation for the distribution,
we evaluated the variance of the best
performing unit. Our analysis showed
that this unit, which was identified as
the best unit based on average
emissions, also had the lowest variance.
Therefore, we determined that the
emission limit would reasonably
account for variability and that no
changes to the standard floor calculation
procedure were warranted for this
pollutant and subcategory, and we are
proposing that the MACT floor is 880
mg/dscm for PAHs from new furnaces
producing FeMn.
The MACT floor dataset for PAHs
initially identified for new furnaces
producing SiMn includes 6 test runs
from a single furnace (furnace #2 at
Felman) that we identified as the best
performing unit based on average
emissions. After determining that the
dataset is best represented by a normal
distribution and ensuring that we used
the correct equation for the distribution,
we evaluated the variance of this unit
(furnace #2 at Felman) and concluded
that further consideration of the
variance was warranted. In particular,
we noted that the variance of the dataset
for this unit was almost twice as large
as the variance of the dataset for the
pool of best performing units that was
used to calculate the existing source
MACT floor. The high degree of
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variance in the dataset for the unit with
the lowest average prompted us to
question whether this unit was, in fact,
the best performing unit and to evaluate
the dataset for the unit with the next
lowest average (furnace #7 at Felman).
The dataset for furnace #7 includes 3
test runs, the furnaces are controlled
with the same type of add-on control
technology, and the average emissions
from furnace #2 are only about 22
percent lower than the average
emissions from furnace #7. While we
find the average performance of these 2
units to be similar, the unit with the
higher average has a variance more than
2 orders of magnitude lower than that of
the unit with the lower average, thus
indicating that the unit with the higher
average has a far more consistent level
of performance. The combination of
components from the unit with the
higher average (furnace #7) yields an
emissions limit that is lower than that
calculated from the dataset of the unit
(furnace #2) with the lowest average
(71.7 versus 132.8 mg/dscm). For these
reasons, we determined that the unit
with the lowest average (furnace #2) is
not the best performing source for this
pollutant and we are instead selecting
furnace #7 as the best performing
source. After selecting the source upon
which the new source limit would be
based, we next considered whether the
selection of a different confidence level
would be appropriate. In this case, we
determined that a lower confidence
level was not warranted given the small
amount of variability in the data for the
unit that we identified as the best
performer. Based on the factors outlined
above, we are proposing that the MACT
floor is 72 mg/dscm for PAHs from new
furnaces producing SiMn.
With regard to PAH emissions from
existing furnaces producing SiMn, we
have 18 test runs in our dataset. This
dataset was not determined to be a
limited data set. The UPL results for this
dataset using a 99 percent confidence
level was determined to be 120 mg/dscm
for SiMn production and was
determined to be the MACT floor limit
for PAHs for existing furnaces
producing SiMn.
Based on the data we received prior
to summer 2014, we estimate that
neither source would need to install
additional controls to meet the MACT
Floor emission limits described above.
However, as mentioned in Section II.D
of today’s notice, we received additional
PAH data in August 2014. We have not
yet completed our review and technical
analyses of those new data, and have
not yet incorporated these new data into
our analyses. Nevertheless, we are
seeking comments regarding the new
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PAH data and how these data could
affect our analyses.
The current PM controls on both
facilities capture some of PAH
emissions. Nevertheless, we also
considered BTF options for control of
PAH emissions based on the additional
reductions that could be achieved via
control with ACI. Based on information
from carbon vendors, an activated
carbon system that is designed to
achieve up to 90 percent reduction in
mercury emissions should also achieve
significant reductions in PAH with no
additional costs. However, significant
uncertainties remain regarding the
percent of reductions in PAHs that
would be achieved with ACI. One
study 53 found that ACI can achieve 74–
91 percent reduction in PAH emissions
depending on the concentration of
activated carbon in the flue gas. Based
on this information, we assume that ACI
probably can achieve 75 percent
reduction in PAH emissions from the
furnace. Therefore, for our analysis of
BTF options, we assumed an ACI
system can achieve 75 percent reduction
of PAH emissions from the furnace
exhaust. Based on this assumption,
possible BTF limits for PAHs would be
340 mg/dscm for FeMn production
furnaces and 28 mg/dscm for SiMn
production furnaces. The estimated
capital and annualized costs to achieve
these BTF PAH limits are the same costs
as those shown for mercury in the
mercury control options memorandum.
For FeMn production, the capital cost
was calculated to be $30.2 million and
the annual cost was calculated to be
$3.4 million and would only apply to
the furnaces at Eramet and the estimated
PAH reductions would be 2.35 tons per
year, which results in cost-effectiveness
of $1.4 million per ton of PAH. The
capital cost for a beyond the floor PAH
option for SiMn and FeMn production
was calculated to be $41.7 million with
an annual cost of $6.9 million and the
estimated PAH reductions would be 4.0
tons per year, which results in costeffectiveness of $1.7 million per ton,
which we conclude is not cost-effective
for PAHs. Given the uncertainties
regarding the percent of PAH reductions
that can be achieved with ACI and since
the cost-effectiveness is relatively high
for this HAP, we are not proposing BTF
limits for PAHs. Instead, we have
determined that it is appropriate to
propose PAH limits based on the MACT
Floor level of control, therefore we are
proposing a MACT limit of 1,400 mg/
53 Hong-Cang Zhou, Zhao-Ping Zhong, Bao-Sheng
Jin, Ya-Ji Huang and Rui Xiao, Experimental study
on the removal of PAHs using in-duct activated
carbon injection, Chemosphere, November 17, 2004.
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dscm for PAHs for existing FeMn
production furnaces and 880 mg/dscm
for PAHs for new and reconstructed
production furnaces and 72 mg/dscm for
PAHs for new and reconstructed SiMn
production furnaces.
FeMn production furnaces and we are
proposing a MACT floor limit of 120 mg/
dscm for PAHs for existing SiMn
TABLE 5—PROPOSED EMISSIONS LIMITS (μG/dscm) FOR PAHS FROM THE FURNACE MELTING PROCESSES
FeMn
production
(new and
reconstructed
sources)
FeMn
production
(existing
sources)
Proposed Emissions Limits for PAHs ..............................................................
6. How did we develop limits for
hydrochloric acid (HCl)?
Like mercury and PAH, we obtained
additional HCl test data since proposal.
However, more than half the test results
(20 of the 36 test runs) were below the
detection limit. This situation required
the use of additional statistical analysis,
as described in the Revised MACT Floor
Analysis for the Ferroalloys Production
Source Category, which is available in
the docket. We determined the data set
for HCl from furnace outlets has a nonnormal distribution. The non-normal
distribution of the data is a result of the
mix of analytical results reported above
and below the detection limit and is not
due to the type of product being
produced (FeMn or SiMn) in the
furnace. Therefore, for HCL we are not
establishing subcategories based on
product. An equation for log-normally
distributed data was used to determine
the UPL of the HCl dataset for both
FeMn and SiMn production combined.
The UPL for the log-normal dataset was
calculated to be 1,100 mg/dscm. Because
more than half of the dataset were
reported below the detection limit,
using EPA procedures, three times the
representative method detection level
(RDL) for HCl (180 mg/dscm), was
compared to the calculated UPL. The
calculated UPL was higher and, thus,
was selected as the MACT floor limit for
existing furnaces. At this level, we
expect neither source would need to
install additional controls to meet the
MACT floor emission limits.
The MACT floor dataset for HCl from
new furnaces producing FeMn or SiMn
includes 6 test runs from a single
furnace (furnace #5 at Felman) that we
1400
SiMn
production
(existing
sources)
880
identified as the best performing unit
based on average emissions. As
described above, this dataset (for the
calculation of the new source limit for
HCL) was considered a limited dataset
and therefore we followed the steps
described in the Limited Dataset Memo
to determine the appropriate MACT
Floor limit for HCl for new furnaces.
After determining that the dataset is best
represented by a non-normal
distribution and ensuring that we used
the correct equation for the distribution,
we evaluated the variance of this best
performing unit. Our analysis showed
that this unit, identified as the best unit
based on average emission, also had the
lowest variance, indicating consistent
performance. Therefore, we determined
that the emission limit reasonably
accounts for variability and that no
changes to the standard floor calculation
procedure were warranted for this
pollutant and subcategory. We also note
that for this standard, the calculated
new source floor level was below the
level that can be accurately measured
(the level that we refer to as ‘‘3 times the
representative detection level’’ or
3xRDL). Therefore, we are proposing a
new source MACT emission limit of 180
ppm for HCl, which is the 3xRDL value
for HCl.
No facilities in the source category
use add-on control devices or work
practices to limit emissions of HCl
beyond what is normally achieved as
co-control of the emissions with
particulate matter control device. Also,
as explained above, there are a
significant number of non-detects for
HCl. Thus, emissions are already low.
Nevertheless, we evaluated possible
SiMn
production
(new and
reconstructed
sources)
120
72
beyond the floor options to further
reduce HCl to ensure our analyses were
complete. The BTF analyses are
described in the Revised MACT Floor
Analysis for the Ferroalloys Production
Source Category document which is
available in the docket. We did not
identify any appropriate BTF options for
HCl.
Given the low emissions of HCl and
the results of our analyses, we are not
proposing beyond the floor limits for
HCl. Therefore, in this supplemental
proposal, we are proposing emission
limits for HCl of 1,100 mg/dscm for
existing furnaces and 180 mg/dscm for
new or reconstructed furnaces, which
are at the level of the MACT floors.
TABLE 6—PROPOSED EMISSIONS LIMITS (μg/dscm) FOR HCL FROM THE
FURNACE MELTING PROCESSES
FeMn
and
SiMn
production
(existing
sources)
Proposed Emissions
Limits for HCl ............
FeMn
and
SiMn
production
(new
and reconstructed
sources)
1100
180
B. What are the results of the risk
assessment and analyses?
1. Inhalation Risk Assessment Results
Table 7 of this preamble provides an
overall summary of the results of the
inhalation risk assessment.
tkelley on DSK3SPTVN1PROD with PROPOSALS2
TABLE 7—FERROALLOYS PRODUCTION SOURCE CATEGORY INHALATION RISK ASSESSMENT RESULTS
Maximum Individual
Cancer Risk
(-in-1 million) a
Actual Emissions
20 ................................
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Estimated Population at Increased
Risk Levels of Cancer
Estimated Annual Cancer
Incidence
(cases per
year)
≥ 1-in-1 million: 31,000.
≥ 10-in-1 million: 400 ........................
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Maximum
Chronic Noncancer
TOSHI b
4
Maximum Screening Acute Non-cancer HQ c
HQREL = 1 (arsenic compounds, hydrofluoric
acid, formaldehyde)
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TABLE 7—FERROALLOYS PRODUCTION SOURCE CATEGORY INHALATION RISK ASSESSMENT RESULTS—Continued
Maximum Individual
Cancer Risk
(-in-1 million) a
Estimated Population at Increased
Risk Levels of Cancer
Estimated Annual Cancer
Incidence
(cases per
year)
Maximum
Chronic Noncancer
TOSHI b
Maximum Screening Acute Non-cancer HQ c
≥ 100-in-1 million: 0.
Allowable Emissions d
100 ..............................
≥ 1-in-1 million: 94,000.
≥ 10-in-1 million: 2,500 .....................
≥ 100-in-1 million: 0.
0.005
40
—
a Estimated
maximum individual excess lifetime cancer risk due to HAP emissions from the source category.
TOSHI. The target organ with the highest TOSHI for the Ferroalloys Production source category for both actual and allowable
emissions is the neurological system. The estimated population at increased levels of noncancer hazard is 1,500 based on actual emissions and
11,000 based on allowable emissions.
c See Section III.A.3 of this notice for explanation of acute dose-response values. Acute assessments are not performed on allowable emissions.
d The development of allowable emission estimates can be found in the memorandum titled Revised Development of the RTR Emissions
Dataset for the Ferroalloys Production Source Category for the 2014 Supplemental Proposal, which is available in the docket.
tkelley on DSK3SPTVN1PROD with PROPOSALS2
b Maximum
The inhalation risk modeling
performed to estimate risks based on
actual and allowable emissions relied
primarily on emissions data from the
ICRs and calculations described in the
Emissions Memo. The results of the
chronic baseline inhalation cancer risk
assessment indicate that, based on
estimates of current actual emissions,
the maximum individual lifetime cancer
risk (MIR) posed by the ferroalloys
production source category is 20-in-1
million, with chromium compounds,
PAHs and nickel compounds from
tapping fugitives, furnace fugitives and
a furnace accounting for 70 percent of
the MIR. The total estimated cancer
incidence from ferroalloys production
sources based on actual emission levels
is 0.002 excess cancer cases per year or
one case every 500 years, with
emissions of PAH, chromium
compounds and cadmium compounds
contributing 42 percent, 18 percent and
15 percent, respectively, to this cancer
incidence. In addition, we note that
approximately 400 people are estimated
to have cancer risks greater than or
equal to 10-in-1 million, and
approximately 31,000 people are
estimated to have risks greater than or
equal to 1-in-1 million as a result of
actual emissions from this source
category.
When considering MACT-allowable
emissions, the maximum individual
lifetime cancer risk is estimated to be up
to 100-in-1 million, driven by emissions
of arsenic compounds and cadmium
compounds from the MOR process
baghouse outlet. The estimated cancer
incidence is estimated to be 0.005
excess cancer cases per year or one
excess case in every 200 years.
Approximately 2,500 people are
estimated to have cancer risks greater
than or equal to 10-in-1 million and
approximately 94,000 people are
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estimated to have cancer risks greater
than or equal to 1-in-1 million
considering allowable emissions from
ferroalloys facilities.
The risk results described in this
section and shown in Table 7 are based
on the emissions data received prior to
summer 2014. These results do not
reflect the new PAH, PM or mercury
data we received in August 2014 (as
described in Section II.D. in this notice).
We seek comment on the new data,
which are available in the docket for
today’s action, and how these additional
data would impact the risk assessment.
The maximum modeled chronic noncancer HI (TOSHI) value for the source
category based on actual emissions is
estimated to be 4, with manganese
emissions from tapping fugitives
accounting for 93 percent of the HI.
Approximately 1,500 people are
estimated to have exposure to HI levels
greater than 1 as a result of actual
emissions from this source category.
When considering MACT-allowable
emissions, the maximum chronic noncancer TOSHI value is estimated to be
40, driven by allowable emissions of
manganese from the MOR process
baghouse outlet. Approximately 11,000
people are estimated to have exposure
to HI levels greater than 1 considering
allowable emissions from these
ferroalloys facilities.
2. Acute Risk Results
Our screening analysis for worst-case
acute impacts based on actual emissions
indicates the potential for three
pollutants—arsenic compounds,
formaldehyde, and hydrofluoric acid—
to have HQ values of 1, based on their
respective REL value. Both facilities
have estimated HQs of 1 for these
pollutants.
To better characterize the potential
health risks associated with estimated
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worst-case acute exposures to HAP from
the source category at issue and in
response to a key recommendation from
the SAB’s peer review of the EPA’s
section 112(f) RTR risk assessment
methodologies, we examine a wider
range of available acute health metrics
than we do for our chronic risk
assessments. This is in
acknowledgement that there are
generally more data gaps and
inconsistencies in acute reference
values than there are in chronic
reference values. By definition, the
acute CalEPA REL represents a healthprotective level of exposure, with no
risk anticipated below those levels, even
for repeated exposures; however, the
health risk from higher-level exposures
is unknown. Therefore, when a CalEPA
REL is exceeded and an AEGL–1 or
ERPG–1 level is available (i.e., levels at
which mild effects are anticipated in the
general public for a single exposure), we
have used them as a second comparative
measure. Historically, comparisons of
the estimated maximum off-site 1-hour
exposure levels have not been typically
made to occupational levels for the
purpose of characterizing public health
risks in RTR assessments. This is
because occupational ceiling values are
not generally considered protective for
the general public since they are
designed to protect the worker
population (presumed healthy adults)
for short-duration (less than 15-minute)
increases in exposure. As a result, for
most chemicals, the 15-minute
occupational ceiling values are set at
levels higher than a 1-hour AEGL–1,
making comparisons to them irrelevant
unless the AEGL–1 or ERPG–1 levels are
also exceeded.
All the HAP in this analysis have
worst-case acute HQ values of 1 or less,
indicating that they carry no potential to
pose acute concerns. In characterizing
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tkelley on DSK3SPTVN1PROD with PROPOSALS2
the potential for acute non-cancer
impacts of concern, it is important to
remember the upward bias of these
exposure estimates (e.g., worst-case
meteorology coinciding with a person
located at the point of maximum
concentration during the hour) and to
consider the results along with the
conservative estimates used to develop
peak hourly emissions as described
earlier, as well as the screening
methodology. Refer to the document
titled Revised Development of the RTR
Emissions Dataset for the Ferroalloys
Production Source Category for the 2014
Supplemental Proposal (which is
available in the docket for this action)
for a detailed description of how the
hourly emissions were developed for
this source category.
3. Multipathway Risk Screening Results
Results of the worst-case Tier I
screening analysis indicate that PB–
HAP emissions (based on estimates of
actual emissions) from one or both
facilities in this source category exceed
the screening emission rates for
cadmium compounds, mercury
compounds, dioxins and PAH. For the
compounds and facilities that did not
screen out at Tier I, we conducted a Tier
II screen. The Tier II screen replaces
some of the assumptions used in Tier I
with site-specific data, including the
land use around the facilities, the
location of fishable lakes and local wind
direction and speed. The Tier II screen
continues to rely on high-end
assumptions about consumption of local
fish and locally grown or raised foods
(adult female angler at 99th percentile
consumption for fish 54 and 90th
percentile for consumption of locally
grown or raised foods 55) and uses an
assumption that the same individual
consumes each of these foods in high
end quantities (i.e., that an individual
has high end ingestion rates for each
food). The result of this analysis was the
development of site-specific emission
rate screening levels for each PB–HAP.
It is important to note that, even with
the inclusion of some site-specific
information in the Tier II analysis, the
multi-pathway screening analysis is still
a very conservative, health-protective
assessment (e.g., upper-bound
consumption of local fish, locally grown
and/or raised foods) and in all
likelihood will yield results that serve
54 Burger, J. 2002. Daily consumption of wild fish
and game: Exposures of high end recreationists.
International Journal of Environmental Health
Research 12:343–354.
55 U.S. EPA. Exposure Factors Handbook 2011
Edition (Final). U.S. Environmental Protection
Agency, Washington, DC, EPA/600/R–09/052F,
2011.
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as an upper-bound multi-pathway risk
associated with a facility.
While the screening analysis is not
designed to produce a quantitative risk
result, the factor by which the emissions
exceed the screening level serves as a
rough gauge of the ‘‘upper-limit’’ risks
we would expect from a facility. Thus,
for example, if a facility emitted a PB–
HAP carcinogen at a level 2 times the
screening level, we can say with a high
degree of confidence that the actual
maximum cancer risks will be less than
2-in-1 million. Likewise, if a facility
emitted a noncancer PB–HAP at a level
2 times the screening level, the
maximum noncancer hazard would
represent an HQ less than 2. The high
degree of confidence comes from the
fact that the screens are developed using
the very conservative (health-protective)
assumptions that we describe above.
Based on the Tier II screening
analysis, no facility emits cadmium
compounds above the Tier II screening
levels. One facility emits mercury
compounds above the Tier II screening
levels and exceeds that level by a factor
of 9. Both facilities emit chlorinated
dibenzodioxins and furans (CDDF) as
2,3,7,8-tetrachlorodibenzo-p-dioxin
toxicity equivalent (TEQ) above the Tier
II screening levels and the facility with
the highest emissions of dioxins exceeds
its Tier II screening level by a factor of
20. Both facilities emit POM as
benzo(a)pyrene TEQ above the Tier II
screening levels and the facility with the
highest emissions exceeds its screening
level by a factor of 20.
Polychlorinated biphenyls (PCB) are
PB–HAP that do not currently have
multi-pathway screening values and so
are not evaluated for potential noninhalation risks. These HAP however,
are not emitted in appreciable quantities
(estimated to be 0.00026 tpy) from the
ferroalloys source category and we do
not believe they contribute to multipathway risks for this source category.
Results of the analysis for lead
indicate that based on the baseline,
actual emissions, the maximum annual
off-site ambient lead concentration was
only 50 percent of the NAAQS for lead
and if the total annual emissions
occurred during a 3-month period, the
maximum 3-month rolling average
concentrations would exceed the
NAAQS. However, as shown later in
this preamble, based on emissions
estimated for the post-control scenario,
the maximum annual off-site ambient
lead concentration was only 3 percent of
the NAAQS for lead. If the total annual
emissions occurred during a 3-month
period, the maximum 3-month rolling
average concentrations would be about
12 percent of the NAAQS for lead,
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indicating that there is no concern for
multi-pathway risks due to lead
emissions.
4. Multipathway Refined Risk Results
A refined multipathway analysis was
conducted for one facility in this source
category using the TRIM.FaTE model.
The facility, Eramet Marietta
Incorporated, in Marietta, Ohio, was
selected based upon its close proximity
to nearby lakes and farms as well as
having the highest potential
multipathway risks for three of the four
PB–HAP based on the Tier II analysis.
These three PB–HAP were cadmium,
mercury and PAHs. (Even though
neither facility exceeded the Tier II
screening levels for cadmium, Eramet
had the higher value.) Eramet also emits
dioxins, but the other facility had a
higher exceedance of its Tier II
screening level. The refined analysis
was conducted on all four PB–HAP. The
refined analysis for this facility showed
that the Tier II screen for each pollutant
over-predicted the potential risk when
compared to the refined analysis results.
Overall, the refined analysis predicts
a potential lifetime cancer risk of 10-in1 million to the maximum most exposed
individual due to exposure to dioxins
and PAHs. The non-cancer HQ is
predicted to be below 1 for cadmium
compounds and 1 for mercury
compounds.
Further details on the refined
multipathway analysis can be found in
Appendix 10 of the Residual Risk
Assessment for the Ferroalloys
Production Source Category in Support
of the September 2014 Supplemental
Proposal, which is available in the
docket.
5. Environmental Risk Screening Results
As described in Section III.A, we
conducted an environmental risk
screening assessment for the ferroalloys
source category. In the Tier I screening
analysis for PB–HAP the individual
modeled Tier I concentrations for one
facility in the source category exceeded
some sediment, fish—avian piscivorus
and surface soil benchmarks for PAHs,
methylmercury and mercuric chloride.
Therefore, we conducted a Tier II
assessment.
In the Tier II screening analysis for
PAHs and methylmercury none of the
individual modeled concentrations for
any facility in the source category
exceeded any of the ecological
benchmarks (either the LOAEL or
NOAEL). For mercuric chloride, soil
benchmarks were exceeded for some
individual modeled points that
collectively accounted for 5 percent of
the modeled area. However, the
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weighted average modeled
concentration for all soil parcels was
well below the soil benchmarks.
For HCl, each individual
concentration (i.e., each off-site data
point in the modeling domain) was
below the ecological benchmarks for all
facilities. The average modeled HCl
concentration around each facility (i.e.,
the average concentration of all off-site
data points in the modeling domain) did
not exceed any ecological benchmark.
6. Facility-Wide Risk Assessment
Results
For both facilities in this source
category, there are no other HAP
emissions sources present beyond those
included in the source category.
Therefore, we conclude that the facilitywide risk is the same as the source
category risk and that no separate
facility-wide analysis is necessary.
7. Demographic Analysis Results
To examine the potential for any
environmental justice (EJ) issues that
might be associated with the source
category, we performed a demographic
analysis, which is an assessment of risks
to individual demographic groups, of
the population close to the facilities. In
this analysis, we evaluated the
distribution of HAP-related cancer risks
and non-cancer hazards from the
ferroalloys production source category
across different social, demographic and
economic groups within the populations
living near facilities identified as having
the highest risks. The methodology and
the results of the demographic analyses
are included in a technical report, Risk
and Technology Review—Analysis of
Socio-Economic Factors for Populations
Living Near Ferroalloys Facilities, which
is available in the docket for this action.
The results of the demographic
analysis are summarized in Table 8
below. These results, for various
demographic groups, are based on the
estimated risks from actual emissions
levels for the population living within
50 km of the facilities.
TABLE 8—FERROALLOY PRODUCTION DEMOGRAPHIC RISK ANALYSIS RESULTS
Population with cancer
risk at or above 1-in-1
million due to ferroalloys
production
Nationwide
Total Population ...........................................................................
312,861,265
Population with chronic
hazard index above 1
due to ferroalloys
production
31,283
1,521
72
28
96
4
99
1
72
13
1
14
96
1
0
2
99
0
0
1
17
83
1
99
1
99
14
86
15
85
7
93
15
85
11
89
11
89
Race by Percent
White ............................................................................................
All Other Races ...........................................................................
Race by Percent
White ............................................................................................
African American .........................................................................
Native American ..........................................................................
Other and Multiracial ...................................................................
Ethnicity by Percent
Hispanic .......................................................................................
Non-Hispanic ...............................................................................
Income by Percent
Below Poverty Level ....................................................................
Above Poverty Level ....................................................................
Education by Percent
tkelley on DSK3SPTVN1PROD with PROPOSALS2
Over 25 and without High School Diploma .................................
Over 25 and with a High School Diploma ...................................
The results of the ferroalloys
production source category
demographic analysis indicate that
emissions from the source category
expose approximately 31,000 people to
a cancer risk at or above 1-in-1 million
and approximately 1,500 people to a
chronic non-cancer TOSHI greater than
1 (we note that many of those in the first
risk group are the same as those in the
second). The percentages of the at-risk
population in each demographic group
(except for White and non-Hispanic) are
similar to or lower than their respective
nationwide percentages.
Implementation of the provisions
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included in this proposal is expected to
significantly reduce the number of
people estimated to have a cancer risk
greater than 1-in-1 million due to HAP
emissions from these sources from
31,000 people to about 6,600 people.
Implementation of the provisions
included in the proposal also is
expected to reduce the number of
people estimated to have a chronic noncancer TOSHI greater than 1 from 1,500
people to no people with a TOSHI
greater than 1.
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C. What are our proposed decisions
regarding risk acceptability, ample
margin of safety and adverse
environmental effects based on our
revised analyses?
1. Risk Acceptability
As noted in Section II.A.1 of this
preamble, the EPA sets standards under
CAA section 112(f)(2) using ‘‘a two-step
standard-setting approach, with an
analytical first step to determine an
‘acceptable risk’ that considers all
health information, including risk
estimation uncertainty and includes a
presumptive limit on maximum
individual lifetime risk (MIR) of
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approximately 1 in 10 thousand[56].’’ (54
FR 38045, September 14, 1989).
In this proposal, the EPA estimated
risks based on both actual and allowable
emissions from ferroalloy facilities. In
determining acceptability, we
considered risks based on both actual
and allowable emissions.
tkelley on DSK3SPTVN1PROD with PROPOSALS2
a. Estimated Risks From Actual
Emissions
The baseline inhalation cancer risk to
the individual most exposed to
emissions from sources in the
ferroalloys source category is 20-in-1
million based on actual emissions. The
estimated incidence of cancer due to
inhalation exposures is 0.002 excess
cancer cases per year, or 1 case every
500 years. Approximately 31,000 people
face an increased cancer risk greater
than 1-in-1 million due to inhalation
exposure to actual HAP emissions from
this source category and approximately
400 people face an increased risk greater
than 10-in-1 million and up to 20-in-1
million. The agency estimates that the
maximum chronic non-cancer TOSHI
from inhalation exposure is 4, with
manganese emissions from tapping
fugitives accounting for a large portion
(93 percent) of the HI.
The Tier II multipathway screening
analysis of actual emissions indicated
the potential for PAH emissions that are
about 20 times the screening level for
cancer, dioxin emissions that are about
20 times the screening level for cancer
and mercury emissions that are 9 times
above the screening level for noncancer.
As noted above, the Tier II
multipathway screen is conservative in
that it incorporates many healthprotective assumptions. For example,
the EPA chooses inputs from the upper
end of the range of possible values for
the influential parameters used in the
Tier II screen and assumes that the
exposed individual exhibits ingestion
behavior that would lead to a high total
exposure. A Tier II exceedance cannot
be equated with a risk value or a HQ or
HI. Rather, it represents a high-end
estimate of what the risk or hazard may
be. For example, an exceedance of 2 for
a non-carcinogen can be interpreted to
mean that we have high confidence that
the HI would be lower than 2. Similarly,
an exceedance of 30 for a carcinogen
means that we have high confidence
that the risk is lower than 30-in-1million. Confidence comes from the
conservative, or health-protective,
56 1-in-10 thousand is equivalent to 100-in-1
million. The EPA currently describes cancer risks
as ‘n-in-1 million.’
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assumptions that are used in the Tier II
screen.
The refined multipathway analysis
that the EPA conducted for one specific
facility showed that the Tier II screen
for each pollutant over-predicted the
potential risk when compared to the
refined analysis results. That refined
multipathway assessment showed that
the Tier II screen resulted in estimated
risks that are higher than the risks
estimated by the refined analysis by 3
times for PAH, 2 times for dioxins, and
6 times for cadmium. The HQ for
mercury went from 9 in Tier II to 1.
The screening assessment of worstcase acute inhalation impacts from
baseline actual emissions indicates that
all pollutants have HQ values of 1 or
less, based on their respective REL
values. Considering the conservative,
health-protective nature of the approach
that is used to develop these acute
estimates, it is highly unlikely that an
individual would have an acute
exposure above the REL. Specifically,
the analysis is based on the assumption
that worst-case emissions and
meteorology would coincide with a
person being at the exact location of
maximum impact for a period of time
long enough to have an exposure level
above the conservative REL value. The
fact that the facilities in this source
category are not located in areas that
naturally lead to people being near the
fence line for periods of time indicates
that the exposure scenario used in the
screening assessment would be unlikely
to occur.
b. Estimated Risks From Allowable
Emissions
The EPA estimates that the baseline
inhalation cancer risk to the individual
most exposed to emissions from sources
in the ferroalloys source category is up
to 100-in-1 million based on allowable
emissions, with arsenic and cadmium
emissions driving the risks. The EPA
estimates that the incidence of cancer
due to inhalation exposures could be up
to 0.005 excess cancer cases per year, or
1 case approximately every 200 years.
About 94,000 people could face an
increased cancer risk greater than 1-in1 million due to inhalation exposure to
allowable HAP emissions from these
source categories and approximately
2,500 people could face an increased
risk greater than 10-in-1 million and up
to 100-in-1 million due to allowable
emissions.
The risk assessment estimates that the
maximum chronic non-cancer TOSHI
from inhalation exposure values is up to
40, driven by allowable manganese
emissions. Approximately 11,000
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60269
people are estimated to have exposure
to HI levels greater than 1.
c. Acceptability Determination
In determining whether risks are
acceptable for this source category, the
EPA considered all available health
information and risk estimation
uncertainty as described above.
The risk results indicate that the
allowable inhalation cancer risks to the
individual most exposed are up to but
no greater than approximately 100–in-1
million, which is the presumptive limit
of acceptability. The MIR based on
actual emissions is 20-in-1 million, well
below the presumptive limit. The
maximum chronic exposure to
manganese exceeds the human health
dose-response value for manganese by a
factor of approximately 4 based on
actual emissions. For allowable
emissions, exposures could exceed the
health value up to a factor of
approximately 40. The noncancer
hazard is driven by manganese
emissions.
Neither the acute risk nor the risks
from the multipathway assessment
exceeded levels of concern, however the
EPA does note that the refined
multipathway exposure estimate for
mercury was at the level of the RfD.
The EPA proposes that the risks are
unacceptable for the following reasons.
First, the EPA considered the fact that
the noncancer hazard quotient ranges
from 4 based on actual emissions to 40
based on allowable emissions. The EPA
has not established under section 112 of
the CAA a numerical range for risk
acceptability for noncancer effects as it
has with carcinogens, nor has it
determined that there is a bright line
above which acceptability is denied.
However, the Agency has established
that, as exposure increases above a
reference level (as indicated by a HQ or
TOSHI greater than 1), confidence that
the public will not experience adverse
health effects decreases and the
likelihood that an effect will occur
increases. For the ferroalloys source
category, the potential for members of
the public to be exposed to manganese
at concentrations up to 40 times the
MRL reduces the Agency’s confidence
that the public is protected from adverse
health effects and diminishes the
Agency’s ability to determine that such
exposures are acceptable. Second, the
EPA considered the fact that the cancer
risk estimate for actual emissions is 20in-1 million and up to 100-in-1 million
for allowable emissions. While 20-in-1
million is well within the acceptable
range, risks from allowable emissions
are at the upper end of the range of
acceptability. This fact, combined with
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the fact that the noncancer hazard is up
to 40 times the MRL and the refined
multipathway HQ for mercury is at the
RfD, leads the agency to conclude that
the risk from this source category is
unacceptable.
2. Proposed Controls to Address
Unacceptable Risks
tkelley on DSK3SPTVN1PROD with PROPOSALS2
a. Stack Emissions
In order to address the unacceptable
risk from this source category, we
evaluated the potential to reduce
MACT-allowable stack emissions,
which resulted in a cancer MIR of 100in-1 million, primarily due to allowable
stack emissions of arsenic and cadmium
and contributed significantly to the
chronic noncancer TOSHI of 40,
primarily due to allowable stack
emissions of manganese. Our analysis
determined that we could lower the
existing particulate matter emission
limits by approximately 50 percent for
furnace stack emissions, by 80 percent
for crushing and screening stack
emissions and by 98 percent for the
metal oxygen refining (MOR) process,
which would help reduce risk to an
acceptable level. As explained above,
the MOR is a major driver of the
allowable risks. Therefore, by lowering
the MOR limit by 98 percent, this
results in a large reduction in the
allowable risks.
For the reasons described above,
under the authority of CAA section
112(f)(2), we propose particulate matter
emission limits for the stacks at the
following levels: 4.0 mg/dscm for new
or reconstructed electric arc furnaces
and 25 mg/dscm for existing electric arc
furnaces. In the 2011 proposal, we
proposed a limit of 3.9 mg/dscm for any
new, reconstructed or existing MOR
process and 13 mg/dscm for any new,
reconstructed or existing crushing and
screening equipment. We believe
sources can achieve the limits we are
proposing today with existing controls.
These emissions limits will
substantially reduce potential risks due
to allowable emissions from the stacks.
We propose that compliance for all
existing and new sources will be
demonstrated by periodic stack testing,
along with installation and continuous
operation of bag leak detection systems
for both new and existing sources that
have baghouses, and continuous
monitoring of liquid flow rate and
pressure drop for sources controlled
with wet scrubbers.
b. Process Fugitive Emissions Sources
Process fugitive sources are partially
controlled by the existing MACT rule
via a shop building opacity standard;
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however, that standard was only
intended to address tapping process
fugitives generated under ‘‘normal’’
tapping process operating conditions.
Casting and crushing and screening
process fugitives in the furnace building
were not included. Under the authority
of section 112 of the Act, which allows
the use of measures to enclose systems
or processes to eliminate emissions and
measures to collect, capture or treat
such pollutants when released from a
process, stack, storage, or fugitive
emissions point, we evaluated options
to achieve improved emissions capture.
In the 2011 proposal, we proposed fullenclosure with negative pressure and
viewed local capture as not being an
appropriate method of risk reduction.
However, based on comments and other
information gathered since the 2011
proposal and after further review and
analyses of available information, we
reevaluated whether the necessary risk
reduction could be accomplished by an
alternative approach to control fugitive
emissions based on enhanced local
capture of emissions. This control
approach would include a combination
of primary and secondary hoods that
effectively capture process fugitive
emissions and vents those emissions to
PM control devices. The secondary
capture would include hooding at the
roof-lines whereby remaining fugitives
are collected and vented to control
devices. As described further under the
technology review section of this
preamble, this approach (based on
enhanced local capture and control of
process fugitives, using primary and
secondary hoods), will effectively
reduce process fugitive emissions. We
conclude that this approach will
achieve substantial reductions of
process fugitive emissions
(approximately 95 percent capture and
control of fugitive emissions) and will
also substantially reduce the estimated
risks due to these emissions. Therefore,
under section 112(f) of the CAA we are
proposing this control option that is
based on enhanced capture of fugitive
emissions using primary hoods (that
capture process fugitive emissions near
the source) and secondary capture of
fugitives (which would capture
remaining fugitive emissions near the
roof-line) and includes a tight opacity
limit of 8 percent to ensure fugitives are
effectively captured and controlled. We
are proposing that the facilities in this
source category must install and
maintain a process fugitives capture
system that is designed to capture and
control 95 percent or more of the
process fugitive emissions. This is the
same exact control approach described
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in more detail under the technology
review section of today’s notice and the
same control approach that we are
proposing under section 112(d)(6) of the
Act, as described below. We estimate
that this control approach will achieve
about 95 percent capture of process
fugitive emissions and will achieve
about 77 tpy reduction in HAP metals
emissions and will substantially reduce
risks due to process fugitive emissions.
We conclude that achieving these
reductions is the level of control needed
to address the unacceptable risks due to
HAP emissions from the source
category.
c. Results of the Post-control Risk
Assessment
The results of the post-control chronic
inhalation cancer risk assessment
indicate that the maximum individual
lifetime cancer risk posed by these two
facilities, after the implementation of
the proposed controls, could be up to
10-in-1 million, reduced from 20-in-1
million (i.e., pre-controls), with an
estimated reduction in cancer incidence
to 0.001 excess cancer cases per year,
reduced from 0.002 excess cancer cases
per year. In addition, the number of
people estimated to have a cancer risk
greater than or equal to 1-in-1 million
would be reduced from 31,000 to 6,600.
The results of the post-control
assessment also indicate that the
maximum chronic noncancer inhalation
TOSHI value would be reduced to 1,
from the baseline estimate of 4. The
number of people estimated to have a
TOSHI greater than 1 would be reduced
from 1,500 to 0. We also estimate that
after the implementation of controls, the
maximum worst-case acute HQ value
would be reduced from 1 to less than 1
(based on REL values).
Considering post-control emissions of
multipathway HAP, mercury emissions
would be reduced by approximately 3
lbs/yr, lead would be reduced by about
1,600 lbs/yr, POM emissions would be
reduced by approximately 5,200 lbs/yr,
cadmium would be reduced by about
150 lbs/yr and dioxins and furans
would be reduced by about 0.002 lbs/yr
from the baseline emission rates.
3. Ample Margin of Safety Analysis
Under the ample margin of safety
analysis, we again consider all of the
health factors evaluated in the
acceptability determination and
evaluate the cost and feasibility of
available control technologies and other
measures (including the controls,
measures and costs reviewed under the
technology review) that could be
applied in this source category to
further reduce the risks due to
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emissions of HAP identified in our risk
assessment.
We estimate that the actions proposed
under CAA section 112(f)(2), as
described above to address unacceptable
risks, will reduce the MIR associated
with arsenic, nickel, chromium and
PAHs from 20-in-1 million to 10-in-1
million for actual emissions. The cancer
incidence will be reduced from 0.002 to
0.001 cases per year and the number of
people estimated to have cancer risks
greater than 1-in-1 million will be
reduced, from 31,000 people to 6,600
people. The chronic noncancer
inhalation TOSHI will be reduced from
4 to 1 and the number of people
exposed to a TOSHI level greater than
1 will be reduced from 1,500 people to
0. In addition, the potential
multipathway impacts will be reduced.
Based on all of the above information,
we conclude that the risks after
implementation of the proposed
controls are acceptable. Based on our
research and analysis, we did not
identify any cost-effective controls
beyond those proposed above that
would achieve further reduction in risk.
While in theory the 2011 proposed
approach of total enclosure would
provide some additional risk reduction,
the additional risk reduction is minimal
and, as noted, we have substantial
doubts that it would be feasible for these
facilities. Therefore we conclude that
the controls to achieve acceptable risks
(described above) will also provide an
ample margin of safety to protect public
health.
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D. What are the results and proposed
decisions based on our technology
review?
1. Metal HAP Emissions Limits From
Stacks
As mentioned in the previous section,
the available test data from the five
furnaces located at two facilities
indicate that all of these furnaces have
PM emission levels that are well below
their respective emission limits (the
emission limits are based on size and
product being produced in the furnace)
in the 1999 MACT rule. These findings
demonstrate that the add-on emission
control technologies (venturi scrubber,
positive pressure fabric filter, negative
pressure fabric filter) used to control
emissions from the furnaces are quite
effective in reducing particulate matter
(used as a surrogate for metal HAP) and
that all of the facilities have emissions
well below the current limits.
Under section 112(d)(6) of the Clean
Air Act (CAA), we are required to revise
emission standards, taking into account
developments in practices, processes
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and control technologies. The
particulate matter (PM) emissions, used
as a surrogate for metal HAP, that were
reported by the industry in response to
the 2010 ICR were far below the level
specified in the current NESHAP,
indicating improvements in the control
of PM emissions since promulgation of
the current NESHAP. We re-evaluated
the data received in 2010, along with
additional data received in 2012 and
2013, to determine whether it is
appropriate to propose revised
emissions limits for PM from the
furnace process vents. The re-evaluation
of the PM limits was completed using
available PM emissions test data from
all the furnaces and consideration of
variability across those data. More
details regarding the available PM data
and this re-evaluation are provided in
the Revised Technology Review for the
Ferroalloys Production Source Category
for the Supplemental Proposal, which is
available in the docket. Unlike PAH and
mercury stack data, we did not see
significant differences in variability of
the PM data sets depending on product
produced (e.g., ferromanganese or
silicomanganese). Therefore, we are not
proposing to subcategorize the PM stack
limits based on product type.
Based on this analysis, we determined
that it is appropriate to propose revised
PM limits for the furnaces and that the
revised existing source furnace stack PM
emissions limit should be 25 milligrams
per dry standard cubic meter (mg/
dscm). Therefore, we are proposing a
revised emissions limit of 25 mg/dscm
for existing furnace stack PM emissions
in this supplemental proposal. This
emission limit is slightly higher than the
existing source furnace PM emission
limit of 24 mg/dscm that we proposed
in the 2011 proposal. The revised
emissions limit is based on more data
than the previous proposed limit. No
additional add-on controls are expected
to be required by the facilities to meet
the revised existing source limit of 25
mg/dscm. However, this revised limit
would result in significantly lower
‘‘allowable’’ PM emissions from the
source category compared to the level of
emissions allowed by the 1999 MACT
rule and would help prevent any
emissions increases. To demonstrate
compliance, we propose these sources
would be required to conduct periodic
performance testing and develop and
operate according to a baghouse
operating plan or continuously monitor
venturi scrubber operating parameters.
We also propose that furnace baghouses
would be required to be equipped with
bag leak detection systems (BLDS).
The revised new source PM standard
for furnaces was determined by
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evaluating the available data from the
best performing furnace (which was
determined to be furnace #2 at Felman).
The new source MACT limit was
determined to be 4.0 mg/dscm based on
data from furnace #2 and was selected
as the proposed MACT emissions limit
for PM from new and reconstructed
source furnace stacks.
The PM emission limit for the local
ventilation control device outlet was
also re-evaluated using compliance test
data and test data from the 2012 ICR. A
local ventilation control device is used
to capture tapping, casting, or ladle
treatment emissions and direct them to
a control device other than one
associated with the furnace. The 2011
proposal included a proposed PM limit
for the local ventilation control device
that was based on PM data from the
furnaces. After the 2011 proposal, we
received test data from 3 different
emissions tests (for a total of 9 test runs)
specifically for this local ventilation
source. We determined these data were
more appropriate for the development of
a limit for this source than the furnace
data we had used for the 2011 proposal.
There is currently only one local
ventilation control device outlet
emissions source in this source
category.
Using the new data for the one
existing local ventilation source, we
calculated a revised emissions limit of
4.0 mg/dscm and determined that this
was an appropriate emissions limit for
this source. Therefore we are proposing
this emissions limit of 4.0 mg/dscm for
existing, new and reconstructed local
ventilation control device emissions
sources.
2. Metal HAP Emissions From Process
Fugitives
In the 2011 proposal, we concluded
that a proposed requirement for sources
to enclose the furnace building, collect
fugitive emissions such that the furnace
building is maintained under negative
pressure and duct those emissions to a
control device represented an advance
in emissions control measures since the
Ferroalloys Production NESHAP was
originally promulgated in 1999.
Commenters on the 2011 proposal
disagreed with our assessment. Based
on these comments, we reassessed the
proposed requirement for negative
pressure ventilation and determined
that the installation and operation of the
proposed system may not be feasible
and would likely be very costly. For
example, the recent secondary lead
NESHAP requires use of such a system,
but we recognize that a much smaller
volume of air must be evacuated at
secondary lead facilities because of their
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smaller size compared to ferroalloy
facilities. We agree that we had
underestimated the costs of such
negative pressure systems and we have
provided updated cost analyses.
Commenters also raised concerns
about worker safety and comfort in
designing and operating such systems
based on historical examples. We
believe that such issues can be
overcome with proper ventilation
design and installation of air
conditioning systems and other steps to
ensure these issues are not a problem.
However, after further review and
evaluation we conclude that it would be
quite costly for these facilities to
become fully enclosed with negative
pressure and achieve the appropriate
ventilation and conditioning of indoor
air.
Going back to the original goal of
identifying advances in emissions
control measures since the Ferroalloys
Production NESHAP was promulgated
in 1999, we have arrived at a different
conclusion than we described in the
2011 proposal. We re-evaluated the
costs and operational feasibility
associated with the full building
enclosure with negative pressure that
we proposed in 2011. We consulted
with ventilation experts who have
worked with hot process fugitives
similar to those found in the ferroalloys
industry (e.g., electric arc furnace steel
mini-mills and secondary lead
smelters). We determined that
substantially more air flow, air
exchanges, ductwork, fans and control
devices and supporting structural
improvements would be needed
(compared to what we had estimated in
the 2011 proposal) to achieve negative
pressure and also ensure adequate
ventilation and air quality in these large
furnace buildings. Therefore, we
determined that the proposed negative
pressure approach presented in the 2011
proposal would be much more
expensive than what we had estimated
in 2011 and may not be feasible for
these facilities.
We also evaluated another option
based on enhanced capture of the
process fugitive emissions using a
combination of effective local capture
with primary hooding close to the
emissions sources and secondary
capture of remaining fugitives with roofline capture hoods and control devices.
These buildings are currently designed
such that fugitive emissions that are not
captured by the primary hoods flow
upward with a natural draft to the open
roof vents and are vented to the
atmosphere uncontrolled. Under our
enhanced control scenario, the primary
capture close to the emissions sources
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would be significantly improved with
effective local hooding and ventilation
and the remaining fugitive emissions
(that are not captured by the primary
hoods) would be drawn up to the roofline and captured with secondary
hooding and vented to control devices.
In cases where additional collection
of fugitives from the roof monitors is
needed to comply with building opacity
limits, fume collection areas may be
isolated via baffles (so the area above
the furnace where fumes collect may be
kept separated from ‘‘empty’’ spaces in
large buildings) and roof monitors over
fume collection areas can be sealed and
directed to control devices. The fugitive
emission capture system should achieve
inflow at the building floor, but outflow
toward the roof where most of the
remaining fugitives would be captured
by the secondary hooding. We conclude
that a rigorous, systematic examination
of the ventilation requirements
throughout the building is the key to
developing a fugitive emission capture
system (consisting of primary hoods,
secondary hoods, enclosures and/or
building ventilation ducted to
particulate matter control devices) that
can be designed and operated to achieve
very low levels of fugitive emissions.
Such an evaluation considers worker
health, safety and comfort and it is
designed to optimize existing
ventilation options (fan capacity and
hood design) and add additional capture
options to meet specified design criteria
determined through the evaluation
process. Thus, we conclude that an
enhanced capture system based on these
design principles does represent an
advancement in technology. We
estimate that this control scenario
would capture about 95 percent of the
process fugitive emissions and vent
those emissions to PM control devices.
This enhanced local capture option is
described in more detail in the Revised
Technology Review document and in
the Cost Impacts of Control Options to
Address Fugitive HAP Emissions for the
Ferroalloys Production NESHAP
Supplemental Proposal document (Cost
Impacts document) which are available
in the docket.
Under this control option, the cost
elements vary by plant and furnace and
include the following:
• Curtains or doors surrounding
furnace tops to contain fugitive
emissions;
• Improvements to hoods collecting
tapping emissions;
• Upgrade fans to improve the airflow
of fabric filters controlling fugitive
emissions;
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• Addition of ‘‘secondary capture’’ or
additional hoods to capture emissions
from tapping platforms or crucibles;
• Addition of fugitives capture for
casting operations;
• Improvement of existing control
devices or addition of fabric filters; and
• Addition of rooftop ventilation, in
which fugitive emissions escaping local
capture are collected in the roof canopy
over process areas through addition of
partitions, hoods, and then directed
through ducts to control devices.
We estimate the total capital costs of
installing the required ductwork, fans
and control devices under the enhanced
capture option (which is described
above and in more detail in the Cost
Impacts document) to be $37.6 million
and the total annualized cost to be $7.1
million for the two plants. We estimate
that this option would reduce metal
HAP emissions by 75 tons per year,
resulting in a cost per ton of metal HAP
removed to be $94,600 per ton ($47 per
pound). The total estimated HAP
reduction for the enhanced capture
option is 77 tons per year at a cost per
ton of $91,900 ($46 per pound). We also
estimate that this option would achieve
PM emission reductions of 229 tons per
year, resulting in cost per ton of PM
removed of $30,900 per ton and achieve
PM2.5 emission reductions of 48 tons per
year, resulting in a cost per ton of PM2.5
removal of $147,000 per ton. We believe
these controls for process fugitive HAP
emissions (described above), which are
based on enhanced capture (with
primary and secondary hooding) are
feasible for the Ferroalloys Production
source category from a technical
standpoint and are cost effective. This
cost effectiveness is in the range of cost
effectiveness for PM and HAP metals
from other previous rules. However, it is
important to note that there is no bright
line for determining cost-effectiveness
for HAP metals. Each rulemaking is
different and various factors must be
considered. Some of the other factors we
consider when making decisions
whether to establish standards beyond
the floor under section 112(d)(2) or
under section 112(d)(6) include, but are
not limited to, the following: which of
the HAP metals are being reduced and
by how much; total capital costs; annual
costs; and costs compared to total
revenues (e.g., costs to revenue ratios).
We also re-evaluated the option based
on building ventilation as described in
the 2011 proposal. This control option
involves installation of full building
ventilation at negative pressure for
furnace buildings instead of installing
fugitive controls on individual tapping
and casting operations. This option
would require installation of ductwork
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from the roof vents of furnace buildings,
additional fans, structural repairs to
buildings and a new fabric filter for each
building. Both Eramet and Felman
provided extensive comments and
information regarding implementation
of building ventilation, including cost
estimates based on their own
engineering analyses. We thoroughly
reviewed the comments and information
provided by the companies along with
information gathered from other
sources, and then revised our costs
analyses accordingly for this
supplemental proposal.
We estimate that the full building
enclosure option would reduce PM
emissions from the facilities by 252 tons
per year (and total HAP emissions by 83
tons per year). The total estimated
capital cost for these fugitive controls is
$61 million. Annualized capital cost
and operational and maintenance costs
are estimated at $19 million per year,
which results in an estimated cost per
ton of metal HAP removed of $226,000
per ton. We also estimate that this
option would achieve PM emission
reductions of 252 tons, resulting in cost
per ton of PM removed of $74,200 per
ton and achieve PM2.5 emission
reductions of 53 tons, resulting in a cost
per ton of PM2.5 removal of $353,000 per
ton. The incremental cost effectiveness
comparing the enhanced capture option
to the building ventilation option is
$501,000 per ton of PM removed, $2.4
million per ton of PM2.5 removed and
$2.2 million per ton of HAP removed.
Based on these analyses, we conclude
that the full-building enclosure option
with negative pressure may not be
feasible and would have significant
economic impacts on the facilities
(including potential closure for one or
more facilities). However, we conclude
that the enhanced local capture option
is a feasible and cost-effective approach
to achieve significant reductions in
fugitive HAP emissions and will achieve
almost as much reductions as the fullbuilding enclosure option (229 vs 252
tons PM reductions) thus achieving
most of the risk reductions. In light of
the technical feasibility and cost
effectiveness of the enhanced capture
options, we are proposing the enhanced
capture option under the authority of
section 112(d)(6) of the CAA.
In the 2011 proposal, we included a
requirement that emissions exiting from
a shop building may not exceed more
than 10 percent opacity for more than
one 6-minute period, to be
demonstrated every 5 years as part of
the periodic required performance tests.
For day-to-day continuous monitoring
to demonstrate compliance with the
proposed shop building requirements,
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the 2011 proposal relied on achieving
the requirement to maintain the shop
building at negative pressure to at least
0.007 inches of water. This was to be
supplemented by operation and work
practice standards that required
preparation of a process fugitive
emissions ventilation plan for each shop
building, which would include
schematics with design parameters (e.g.,
air flow and static pressure) of the
ventilation system. The source would
conduct a baseline survey to verify that
building air supply and exhaust are
balanced and the building will be
maintained under at least 0.007 inches
of water. Such plan would identify
critical maintenance activities and
schedules, be submitted to the
permitting authority and incorporated
into the source’s operating permit. The
baseline survey would be repeated every
5 years or following significant changes
to the ventilation system.
With the move to the proposed
enhanced local capture alternative, we
believe that more frequent opacity
monitoring based on an average of 8
percent opacity at all times, is
appropriate to demonstrate compliance
with the process fugitives standards. We
propose that if the average opacity
reading from the shop building is
greater than 8 percent opacity during an
observed furnace process cycle, an
additional two more furnace process
cycles must be observed such that the
average opacity during the entire
observation period is less than 7 percent
opacity. A furnace process cycle means
the period in which the furnace is
tapped to the time in which the furnace
is tapped again and includes periods of
charging, smelting, tapping, casting and
ladle raking. We also propose that at no
time during operation may any two
consecutive 6-minute block opacity
readings be greater than 20 percent
opacity. We believe that the longer
averaging time for this new opacity limit
(furnace process cycle vs. individual 6minute averages) addresses concerns
that small variations in an otherwise
well-controlled furnace cycle could
result in violations of the opacity
standard. The proposed 20 percent
ceiling ensures that there are no acute
events that could adversely affect public
health. Finally, the lower limit (8 vs. 10
percent opacity) also reflects that
sources should achieve lower overall
emissions over a longer averaging
period. We propose that sources be
required to conduct opacity
observations at least once per week for
each operating furnace and each MOR
operation. Similar to the 2011 proposal,
continuous monitoring of key
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ventilation operating system parameters
and periodic inspections of the
ventilation systems would ensure that
the ventilation systems are operating as
designed.
Also, similar to the 2011 proposal, we
believe that the source should
demonstrate that the overall design of
the ventilation system is adequate to
achieve the proposed standards. We
propose that the facilities in this source
category must maintain a process
fugitives capture system that is designed
to collect 95 percent or more of the
process fugitive emissions from furnace
operations, casting MOR process, ladle
raking and slag skimming and crushing
and screening operations and convey
the collected emissions to a control
device that meets specified emission
limits and the proposed opacity limits.
We believe that if the source designs the
plan according to the most recent (at the
time of construction) ventilation design
principles recommended by the
American Conference of Governmental
Industrial Hygienists (ACHIH), includes
detailed schematics of the ventilation
system design, addresses variables that
affect capture efficiency such as cross
drafts and describes protocol or design
characteristics to minimize such events
and identifies monitoring and
maintenance steps, the plan will be
capable of ensuring the system is
properly designed and continues to
operate as designed. We would continue
to require that this plan be submitted to
the permitting authority, incorporated
into the source’s operating permit and
updated every 5 years or when there is
a significant change in variables that
affect process fugitive emissions
ventilation design. This list of design
criteria, coupled with the requirement
for frequent opacity observations and
operating parameter monitoring will
result in enforceable requirements. We
recognize that other design
requirements and/or more frequent
opacity observations may yield more
compliance certainty, but incur greater
costs and not result in measurable
decreases in emissions. However, we
request comment on other measures that
could be considered to demonstrate that
well designed (e.g., at least 95 percent
overall capture of process fugitive
emissions) plans are developed and
maintained. We request that such
comments include costs, measurement
techniques or other information to
evaluate their efficacy.
E. What other actions are we proposing?
In addition to the proposed actions
described above, we re-evaluated
compliance requirements associated
with the 2011 proposed amendments to
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determine whether we should make
changes to those proposed amendments.
Based on this re-evaluation, we are
proposing the following changes to what
was proposed in the 2011 proposal.
1. Stack Emission Limits
In response to public comments, we
revisited the format of the stack
emission limits. We concluded that a
concentration-based limit is still
appropriate, but we agree that the
proposed CO2 concentration correction
poses a problem under certain control
device configurations. While such a
concentration correction is appropriate
for combustion sources such as boilers,
we agree that its use in the context of
ferroalloys production is not helpful.
The PM stack limits proposed above do
not include a CO2 correction.
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2. Emissions Averaging
As described above, we have decided
to retain a concentration format for the
emissions limits for the stacks but we
are not retaining the emissions
averaging provision in this
supplemental proposal that we had
proposed in 2011. We believe a
concentration format is the best format
for this NESHAP and we have
concluded that it is not the best format
to use under an emissions averaging
option. We are concerned that emissions
from a large furnace emitting a lower
than average concentration could still
emit more emissions than a small
furnace with a higher than average
concentration. This could result in a net
increase in emissions from the two
furnaces compared to their emissions if
they were not allowed to average
emissions. For this reason, we are
proposing not to include the emissions
averaging provisions in the rule, which
is a change from the 2011 proposal.
3. Fenceline Monitoring Alternative
In the 2011 proposal, we assumed
there could be control measures other
than maintaining the furnace buildings
under negative pressure that would
achieve equivalent emissions
reductions. Therefore, to provide some
flexibility to facilities regarding how to
achieve the reductions of fugitive
emissions, in lieu of building the full
enclosure and evacuation system
described in the 2011 proposal, we
proposed that sources could
demonstrate compliance with an
alternative approach by conducting
fenceline monitoring and demonstrate
that the ambient concentrations of
manganese at their facility boundary
remain at levels no more than 0.1 mg/m3
on a 60-day rolling average. However, at
this time, we believe that the proposed
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enhanced local capture option described
in this supplemental proposal
incorporates the features anticipated in
a non-negative pressure building option
and contains compliance requirements
(based on meeting a tight opacity limit
and other requirements) that would
assess emissions at the point of the
maximum output, that is, from the roof
monitor of the ferroalloys production
building. Furthermore, we determined
there were various issues associated
with fenceline monitoring at facilities
within this source category, including
highly variable wind patterns,
uncertainties as to how to account for
background concentrations and road
dust and the large difference between
emissions release heights (from the high
roof vents and stacks) compared to
heights where fenceline monitors would
be located (near ground level).
Therefore, we are proposing to not
include fenceline monitoring in the
final rule as an alternative method to
demonstrate compliance with a specific
ambient level as was described in the
2011 proposal. We believe the proposed
tight opacity limit (which would be
measured at the emissions sources),
along with the proposed requirements to
install, operate and maintain effective
fugitive capture and control systems,
emissions limits for the stacks and
various parametric monitoring
requirements, are appropriate control
requirements to ensure effective capture
and control of emissions. However, as
described in Section V.I. of this Notice,
we are seeking comments regarding
other possible options to monitor
fugitive emissions, including fenceline
monitoring as a tool to monitor trends
in ambient concentrations at these
locations and to use this information
(along with meteorological data and
modeling tools) to attempt to quantify
trends in emissions that are leaving and
entering the facility property.
4. Startup, Shutdown, Malfunction
In the 2011 proposal, we proposed to
eliminate two provisions that exempt
sources from the requirement to comply
with the otherwise applicable CAA
section 112(d) emission standards
during periods of SSM. We also
included provisions for affirmative
defense to civil penalties for violations
of emission standards caused by
malfunctions. Periods of startup, normal
operations, and shutdown are all
predictable and routine aspects of a
source’s operations. However, by
contrast, malfunction is defined as a
‘‘sudden, infrequent, and not reasonably
preventable failure of air pollution
control and monitoring equipment,
process equipment or a process to
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operate in a normal or usual manner
. . .’’ (40 CFR 63.2). As explained in the
2011 proposal, the EPA interprets CAA
section 112 as not requiring emissions
that occur during periods of
malfunction to be factored into
development of CAA section 112
standards. Under section 112, emissions
standards for new sources must be no
less stringent than the level ‘‘achieved’’
by the best controlled similar source
and for existing sources generally must
be no less stringent than the average
emission limitation ‘‘achieved’’ by the
best performing 12 percent of sources in
the category. There is nothing in section
112 that directs the Agency to consider
malfunctions in determining the level
‘‘achieved’’ by the best performing
sources when setting emission
standards. As the DC Circuit has
recognized, the phrase ‘‘average
emissions limitation achieved by the
best performing 12 percent of’’ sources
‘‘says nothing about how the
performance of the best units is to be
calculated.’’ Nat’l Ass’n of Clean Water
Agencies v. EPA, 734 F.3d 1115, 1141
(D.C. Cir. 2013). While the EPA
accounts for variability in setting
emissions standards, nothing in section
112 requires the Agency to consider
malfunctions as part of that analysis. A
malfunction should not be treated in the
same manner as the type of variation in
performance that occurs during routine
operations of a source. A malfunction is
a failure of the source to perform in a
‘‘normal or usual manner’’ and no
statutory language compels the EPA to
consider such events in setting section
112 standards.
Further, accounting for malfunctions
in setting emission standards would be
difficult, if not impossible, given the
myriad different types of malfunctions
that can occur across all sources in the
category and given the difficulties
associated with predicting or accounting
for the frequency, degree and duration
of various malfunctions that might
occur. As such, the performance of units
that are malfunctioning is not
‘‘reasonably’’ foreseeable. See, e.g.,
Sierra Club v. EPA, 167 F.3d 658, 662
(D.C. Cir. 1999) (‘‘The EPA typically has
wide latitude in determining the extent
of data-gathering necessary to solve a
problem. We generally defer to an
agency’s decision to proceed on the
basis of imperfect scientific information,
rather than to ‘invest the resources to
conduct the perfect study.’ ’’) See also,
Weyerhaeuser v. Costle, 590 F.2d 1011,
1058 (D.C. Cir. 1978) (‘‘In the nature of
things, no general limit, individual
permit, or even any upset provision can
anticipate all upset situations. After a
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certain point, the transgression of
regulatory limits caused by
‘uncontrollable acts of third parties,’
such as strikes, sabotage, operator
intoxication or insanity, and a variety of
other eventualities, must be a matter for
the administrative exercise of case-bycase enforcement discretion, not for
specification in advance by
regulation.’’). In addition, emissions
during a malfunction event can be
significantly higher than emissions at
any other time of source operation. For
example, if an air pollution control
device with 99 percent removal goes offline as a result of a malfunction (as
might happen if, for example, the bags
in a baghouse catch fire) and the
emission unit is a steady state type unit
that would take days to shut down, the
source would go from 99 percent control
to zero control until the control device
was repaired. The source’s emissions
during the malfunction would be 100
times higher than during normal
operations. As such, the emissions over
a 4-day malfunction period would
exceed the annual emissions of the
source during normal operations. As
this example illustrates, accounting for
malfunctions could lead to standards
that are not reflective of (and
significantly less stringent than) levels
that are achieved by a well-performing
non-malfunctioning source. It is
reasonable to interpret section 112 to
avoid such a result. The EPA’s approach
to malfunctions is consistent with
section 112 and is a reasonable
interpretation of the statute.
In the event that a source fails to
comply with the applicable CAA section
112 standards as a result of a
malfunction event, the EPA would
determine an appropriate response
based on, among other things, the good
faith efforts of the source to minimize
emissions during malfunction periods,
including preventative and corrective
actions, as well as root cause analyses
to ascertain and rectify excess
emissions. The EPA would also
consider whether the source’s failure to
comply with the CAA section 112
standard was, in fact, ‘‘sudden,
infrequent, not reasonably preventable’’
and was not instead ‘‘caused in part by
poor maintenance or careless
operation.’’ 40 CFR § 63.2 (definition of
malfunction).
Further, to the extent the EPA files an
enforcement action against a source for
violation of an emission standard, the
source can raise any and all defenses in
that enforcement action and the federal
district court will determine what, if
any, relief is appropriate. The same is
true for citizen enforcement actions.
Similarly, the presiding officer in an
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administrative proceeding can consider
any defense raised and determine
whether administrative penalties are
appropriate.
As noted above, the 2011 proposal
included an affirmative defense to civil
penalties for violations caused by
malfunctions. EPA included the
affirmative defense in the 2011 proposal
as it had in several prior rules in an
effort to create a system that
incorporates some flexibility,
recognizing that there is a tension,
inherent in many types of air regulation,
to ensure adequate compliance while
simultaneously recognizing that despite
the most diligent of efforts, emission
standards may be violated under
circumstances entirely beyond the
control of the source. Although the EPA
recognized that its case-by-case
enforcement discretion provides
sufficient flexibility in these
circumstances, it included the
affirmative defense in the 2011 proposal
and in several prior rules to provide a
more formalized approach and more
regulatory clarity. See Weyerhaeuser Co.
v. Costle, 590 F.2d 1011, 1057–58 (D.C.
Cir. 1978) (holding that an informal
case-by-case enforcement discretion
approach is adequate); but see Marathon
Oil Co. v. EPA, 564 F.2d 1253, 1272–73
(9th Cir. 1977) (requiring a more
formalized approach to consideration of
‘‘upsets beyond the control of the permit
holder.’’). Under the EPA’s regulatory
affirmative defense provisions, if a
source could demonstrate in a judicial
or administrative proceeding that it had
met the requirements of the affirmative
defense in the regulation, civil penalties
would not be assessed. The United
States Court of Appeals for the District
of Columbia Circuit vacated an
affirmative defense in one of the EPA’s
Section 112 regulations. NRDC v. EPA,
749 F.3d 1055 No. 10–1371 (D.C. Cir.,
2014) (vacating affirmative defense
provisions in Section 112 rule
establishing emission standards for
Portland cement kilns). The court found
that the EPA lacked authority to
establish an affirmative defense for
private civil suits and held that under
the CAA, the authority to determine
civil penalty amounts in such cases lies
exclusively with the courts, not the
EPA. Specifically, the Court found: ‘‘As
the language of the statute makes clear,
the courts determine, on a case-by-case
basis, whether civil penalties are
‘appropriate.’ ’’ See NRDC at *21
(‘‘[U]nder this statute, deciding whether
penalties are ‘appropriate’ in a given
private civil suit is a job for the courts,
not EPA.’’). In light of NRDC, the EPA
is withdrawing its proposal to include a
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regulatory affirmative defense provision
in this rulemaking and in this proposal
has eliminated sections 63.1627 and
63.1662 (the affirmative defense
provisions in the proposed rule
published in the Federal Register on
November 23, 2011 (76 FR 72508)). As
explained above, if a source is unable to
comply with emissions standards as a
result of a malfunction, the EPA may
use its case-by-case enforcement
discretion to provide flexibility, as
appropriate. Further, as the DC Circuit
recognized, in an EPA or citizen
enforcement action, the court has the
discretion to consider any defense
raised and determine whether penalties
are appropriate. Cf. NRDC at *24.
(arguments that violation were caused
by unavoidable technology failure can
be made to the courts in future civil
cases when the issue arises). The same
logic applies to EPA administrative
enforcement actions.
F. What compliance dates are we
proposing?
The proposed changes to the 2011
proposal that are set out in this
supplementary proposal will not change
the compliance dates proposed. We
continue to propose that facilities must
comply with the changes set out in this
supplementary proposal (which are
being proposed under CAA sections
112(d)(2), 112(d)(3), 112(d)(6) and
112(f)(2) for all affected sources), no
later than 2 years after the effective date
of the final rule. We find that 2 years are
necessary to complete the installation of
the enhanced local capture system and
other controls. In the period between
the effective date of this rule and the
compliance date, existing sources would
continue to comply with the existing
requirements specified in §§ 63.1650
through 63.1661, which will protect the
health of persons from imminent
endangerment.
V. Summary of the Revised Cost,
Environmental and Economic Impacts
A. What are the affected sources?
We maintain, as at the 2011 proposal,
that the two manganese ferroalloys
production facilities currently operating
in the United States will be affected by
these proposed amendments. We do not
know of any new facilities that are
expected to be constructed in the
foreseeable future. However, there is
one other facility that has a permit to
produce ferromanganese or
silicomanganese in an electric arc
furnace, but it is not doing so at present.
It is possible, however, that this facility
could resume production or another
non-manganese ferroalloy producer
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could decide to commence production
of ferromanganese or silicomanganese.
Given this uncertainty, our impact
analysis is focused on the two existing
sources that are currently operating.
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B. What are the air quality impacts?
The EPA revised the estimated
emissions reductions that are expected
to result from the proposed amendments
to the 1999 NESHAP based on the
proposed changes in this supplemental
proposal. A detailed documentation of
the analysis can be found in the Cost
Impacts document, which is available in
the docket.
As noted in the 2011 proposal,
emissions of metal HAP from ferroalloys
production sources have declined in
recent years, primarily as the result of
state actions and also due to the
industry’s own initiative. The proposed
amendments in this supplemental
proposal would cut HAP emissions
(primarily particulate metal HAP such
as manganese, arsenic and nickel) by
about 60 percent from their current
levels. Under the revised proposed
emissions standards for process
fugitives emissions from the furnace
building, we estimate that the HAP
emissions reductions would be 77 tpy,
including significant reductions of
manganese.
As noted in the 2011 proposal, based
on the emissions data available to the
EPA, we believe that both facilities will
be able to comply with the proposed
emissions limits for HCl without
additional controls. Based on the
analyses presented today, we also
anticipate that both facilities will be
able to comply with the proposed
emission limits for mercury and PAH
without additional controls.
C. What are the cost impacts?
Under the revised proposed
amendments, ferroalloys production
facilities are expected to incur costs for
the design of a local ventilation system,
resulting in a site-specific local
ventilation plan and installation of
custom hoods and ventilation
equipment and additional control
devices to manage the air flows
generated by the enhanced capture
systems. There would also be capital
costs associated with installing new or
improved continuous monitoring
systems, including installation of BLDS
on the furnace baghouses that are not
currently equipped with these systems.
The revised capital costs for each
facility were estimated based on the
projected number and types of upgrades
required. The specific enhancements for
each facility were selected for cost
estimation based on estimates directly
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provided by the facilities based on their
engineering analyses and discussions
with the EPA. The Cost Impacts
document includes a complete
description of the revised cost estimate
methods used for this analysis and is
available in the docket.
Cost elements vary by plant and
furnace and include the following
elements:
• Curtains or doors surrounding
furnace tops to contain fugitive
emissions;
• Improvements to hoods collecting
tapping emissions;
• Upgraded fans to improve the
airflow of fabric filters controlling
fugitive emissions;
• Addition of ‘‘secondary capture’’ or
additional hoods to capture emissions
from tapping platforms or crucibles;
• Addition of fugitives capture for
casting operations;
• Improvement of existing control
devices or addition of fabric filters; and
• Addition of rooftop ventilation, in
which fugitive emissions escaping local
control are collected in the roof canopy
over process areas through addition of
partitions and hoods, then directed
through roof vents and ducts to control
devices.
For purposes of the supplemental
proposal analysis, we assumed that
enhanced fugitive capture and control
systems and roofline ventilation will be
installed for all operational furnaces at
both facilities and for MOR operations
at Eramet Marietta. The specific
elements of the capture and control
systems selected for each facility are
based on information supplied by the
facilities incorporating their best
estimates of the improvements to
fugitive emission capture and control
they would implement to achieve the
standards included in the supplemental
proposal. We estimate the total capital
costs of installing the required
ductwork, fans and control devices
under the enhanced capture option to be
$37.6 million and the total annualized
cost to be $7.1 million (2012 dollars) for
the two plants. We estimate that this
option would reduce metal HAP
emissions by 75 tons, resulting in a cost
per ton of metal HAP removed to be
$94,700 per ton ($47 per pound). The
total HAP reduction for the enhanced
capture option is estimated to be 77 tons
per year at a cost per ton of $91,900 per
ton ($46 per pound). We also estimate
that this option would achieve PM
emission reductions of 229 tons per
year, resulting in cost per ton of PM
removed of $30,900 per ton and achieve
PM2.5 emission reductions of 48 tons per
year, resulting in a cost per ton of PM2.5
removal of $147,000 per ton.
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D. What are the economic impacts?
As a result of the requirements in this
supplemental proposal, we estimate that
the total capital cost for the Eramet
facility will be about $25 million and
the total annualized costs will be about
$5.4 million (in 2012 dollars). For
impacts to Felman Production LLC, this
facility is estimated to incur a total
capital cost of $12.4 million and a total
annualized costs of just under $1.7
million (in 2012 dollars). In total, these
costs could lead to an increase in
annualized cost of as much as 1.8
percent of sales, which serves as an
estimate for the increase in product
prices, and a decrease in output of as
much as 9.5 percent. For more
information regarding economic
impacts, please refer to the Economic
Impact Analysis report that is included
in the public docket for this
supplemental proposal.
E. What are the benefits?
The estimated reductions in HAP
emissions (i.e., about 77 tpy) that would
be achieved by this proposal would
provide significant benefits to public
health. For example, there would be a
significant reduction in emissions of air
toxics (especially Mn, Ni, Cd and
PAHs). In addition to the HAP
reductions, we also estimate that this
supplemental proposal would achieve
about 48 tons of reductions in PM2.5
emissions as a co-benefit of the HAP
reductions annually.
This rulemaking is not an
‘‘economically significant regulatory
action’’ under Executive Order 12866
because it is not likely to have an
annual effect on the economy of $100
million or more. Therefore, we have not
conducted a Regulatory Impact Analysis
(RIA) for this rulemaking or a benefits
analysis. While we expect that these
avoided emissions will result in
improvements in air quality and reduce
health effects associated with exposure
to air pollution associated with these
emissions, we have not quantified or
monetized the benefits of reducing these
emissions for this rulemaking. This does
not imply that there are no benefits
associated with these emission
reductions. When determining if the
benefits of an action exceed its costs,
Executive Orders 12866 and 13563
direct the Agency to consider qualitative
benefits that are difficult to quantity but
nevertheless essential to consider.
Directly emitted particles are
precursors to secondary formation of
fine particles (PM2.5). Controls installed
to reduce HAP would also reduce
ambient concentrations of PM2.5 as a cobenefit. Reducing exposure to PM2.5 is
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associated with significant human
health benefits, including avoiding
mortality and morbidity from
cardiovascular and respiratory illnesses.
Researchers have associated PM2.5
exposure with adverse health effects in
numerous toxicological, clinical and
epidemiological studies (U.S. EPA,
2009) 57. When adequate data and
resources are available and an RIA is
required, the EPA generally quantifies
several health effects associated with
exposure to PM2.5 (e.g., U.S. EPA,
2012) 58. These health effects include
premature mortality for adults and
infants, cardiovascular morbidities such
as heart attacks, hospital admissions
and respiratory morbidities such as
asthma attacks, acute bronchitis,
hospital and emergency department
visits, work loss days, restricted activity
days and respiratory symptoms. The
scientific literature also suggests that
exposure to PM2.5 is also associated with
adverse effects on birth weight, pre-term
births, pulmonary function and other
cardiovascular and respiratory effects
(U.S. EPA, 2009), but the EPA has not
quantified certain outcomes these
impacts in its benefits analyses. PM2.5
also increases light extinction, which is
an important aspect of visibility.
The rulemaking is also anticipated to
reduce emissions of other HAP,
including metal HAP (arsenic,
cadmium, chromium (both total and
Cr+6), lead compounds, manganese and
nickel) and PAHs. Some of these HAP
are carcinogenic (e.g., arsenic, PAHs)
and some have effects other than cancer
(e.g., kidney disease from cadmium,
respiratory and immunological effects
from nickel). While we cannot
quantitatively estimate the benefits
achieved by reducing emissions of these
HAP, we would expect benefits by
reducing exposures to these HAP. More
information about the health effects of
these HAP can be found on the IRIS,59
57 U.S. Environmental Protection Agency (U.S.
EPA). 2009. Integrated Science Assessment for
Particulate Matter (Final Report). EPA–600–R–08–
139F. National Center for Environmental
Assessment—RTP Division. Available on the
Internet at https://cfpub.epa.gov/ncea/cfm/
recordisplay.cfm?deid=216546.
58 U.S. Environmental Protection Agency (U.S.
EPA). 2012. Regulatory Impact Analysis for the
Proposed Revisions to the National Ambient Air
Quality Standards for Particulate Matter. Office of
Air and Radiation, Research Triangle Park, NC.
Available on the Internet at https://www.epa.gov/
ttnecas1/regdata/RIAs/PMRIACombinedFile_
Bookmarked.pdf.
59 US EPA, 2006. Integrated Risk Information
System. https://www.epa.gov/iris/.
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ATSDR,60 and California EPA 61 Web
pages.
VI. Request for Comments
We solicit comments on the revised
risk assessment and technology review
and proposed changes to the previously
proposed amendments. We seek
comments on the additional data
received in August 2014 (as described in
Section II.D above) and the impacts of
those new data on the analyses and
results presented in this notice. We seek
comments on the sufficiency of the
proposed controls for process fugitive
emissions, the design of such systems
and how best to monitor them to ensure
the systems achieve the estimated
efficiency. We also seek comments on
other aspects of this supplemental
proposal, including, but not limited to,
the proposed opacity standards.
The EPA is also soliciting comment
with regard to expanding the monitoring
requirements in this NESHAP for
fugitive particulate matter and
manganese emissions being released at
the roof vents of furnace buildings using
one or more of three different options.
For the following three options the EPA
is additionally seeking comment on the
frequency of monitoring and the cost
associated with installation, operation,
analysis and ongoing reporting.
Additional cost information of these
three monitoring options is included in
the Cost Impacts document, which is
available in the docket.
First, the EPA is soliciting comment
on the potential to require the facilities
to take periodic measurements of
fugitive particulate matter and
manganese emissions from the roof
vents using portable filter based
measurement technologies. The EPA
solicits comment on requiring no less
than 3 filter based monitoring systems
with associated anemometers with the
goal of quantifying trends in the process
fugitive emissions that are leaving the
furnace buildings. We also solicit
comment on the appropriate sampling
duration and frequency of such
measurements (e.g., 8-hour samples
gathered at each monitor several times
per week or month). This monitoring
could provide useful information
regarding the remaining fugitive
emissions that will be escaping the
buildings after the facilities install and
operate the improved capture and
60 US Agency for Toxic Substances and Disease
Registry, 2006. Minimum Risk Levels (MRLs) for
Hazardous Substances. https://www.atsdr.cdc.gov/
mrls/.
61 CA Office of Environmental Health Hazard
Assessment, 2005. Chronic Reference Exposure
Levels Adopted by OEHHA as of December 2008.
https://www.oehha.ca.gov/air/chronic_rels.
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controls systems that we expect will be
installed to comply with this proposed
rule. This information will also help
improve our understanding of the
relationship between the process
fugitive emissions and the specific
operations within the furnace buildings.
However, the measurements would not
be tied to a specific emissions limit.
Second, the EPA is soliciting
comment on requiring fugitive fenceline
filter based measurements of particulate
matter and manganese emissions at the
facilities with no less than 3 monitoring
systems at the property boundaries to
monitor trends in ambient
concentrations at these locations and to
use this information (along with
meteorological data and modeling tools)
to attempt to quantify trends in
emissions that are leaving and entering
the facility property. The EPA seeks
comment on having the monitoring
systems use common ambient filter
based sampling techniques as well as
gathering data on meteorological
conditions simultaneously at each of the
sampling sites. The EPA recognizes that
this monitoring would be capturing both
ground level and other fugitive
emissions from the facilities as well as
background contributions from other
sources, and that this type of monitoring
has limitations. Nevertheless, EPA is
taking comment on the application and
appropriateness of this type of
monitoring as part of the requirements
within this NESHAP to evaluate
emissions leaving the facility property
and is taking comment on where to
position the monitoring systems to best
evaluate the fugitive emissions.
Third, the EPA is soliciting comment
regarding the use of new technologies to
provide continuous or near continuous
long term approaches to monitoring
emissions from industrial sources such
the Ferroalloys production facilities
within this source category. To this end
we are seeking comment on the
feasibility and practice associated with
the use of automated Opacity
Monitoring with ASTM D7520–13,
using digital camera technology (DCOT)
at fixed points to interpret visible
emissions from roof vents associated
with the processes at each facility, and
how this technology could potentially
be included as part of the requirements
in the NESHAP for ferroalloys
production sources. Specifically we are
interested in comments regarding how
many fixed camera locations would be
needed to provide sufficient sun-angle
viewing during daylight operating
hours, and the frequency of the EXIF 2.1
JPG image analysis (how often the roof
vent plume should be evaluated).
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The EPA is moving toward advances
in information and emissions
monitoring technology that is setting the
stage for detection, processing and
communication capabilities that can
revolutionize environmental protection.
The EPA calls this Next Generation
Compliance. One of the advances in
information sharing is increased
transparency. Using transparency as a
way to improve performance and
increase compliance, the EPA is seeking
comments on whether affected sources
should be required to post Method 9
readings on their company Web sites
and/or State dashboards.
Electronic reporting is another next
generation tool that saves time and
money while improving results. The
EPA is asking for comments on whether
the EPA should require affected sources
to submit all compliance documents
such as notice of compliance status
form, deviations from the process
fugitive ventilation plan and outdoor
fugitive dust plan, and electronic
records of the bag leak detection system
output.
We are not opening comment on
aspects of the 2011 proposal (76 FR
72508) that have not changed and are
not addressed in this supplemental
proposal. Comments received on the
2011 proposal along with comments
received on this supplemental proposal
will be addressed in the EPA’s Response
to Comment document and final rule
preamble for the Ferroalloys Production
source category.
VII. Submitting Data Corrections
The site-specific emissions profiles
used in the source category risk and
demographic analyses and instructions
are available for download on the RTR
Web page at: https://www.epa.gov/ttn/
atw/rrisk/rtrpg.html. The data files
include detailed information for each
HAP emissions release point for the
facilities in the source category.
If you believe that the data are not
representative or are inaccurate, please
identify the data in question, provide
your reason for concern and provide any
‘‘improved’’ data that you have, if
available. When you submit data, we
request that you provide documentation
of the basis for the revised values to
support your suggested changes. To
submit comments on the data
downloaded from the RTR page,
complete the following steps:
1. Within this downloaded file, enter
suggested revisions to the data fields
appropriate for that information.
2. Fill in the commenter information
fields for each suggested revision (i.e.,
commenter name, commenter
organization, commenter email address,
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commenter phone number and revision
comments).
3. Gather documentation for any
suggested emissions revisions (e.g.,
performance test reports, material
balance calculations, etc.).
4. Send the entire downloaded file
with suggested revisions in Microsoft®
Access format and all accompanying
documentation to Docket ID Number
EPA–HQ–OAR–*** (through one of the
methods described in the ADDRESSES
section of this preamble).
5. If you are providing comments on
a single facility or multiple facilities,
you need only submit one file for all
facilities. The file should contain all
suggested changes for all sources at that
facility. We request that all data revision
comments be submitted in the form of
updated Microsoft® Excel files that are
generated by the Microsoft® Access file.
These files are provided on the RTR
Web page at: https://www.epa.gov/ttn/
atw/rrisk/rtrpg.html.
VIII. Statutory and Executive Order
Reviews
A. Executive Order 12866: Regulatory
Planning and Review and Executive
Order 13563: Improving Regulation and
Regulatory Review
Under Executive Order 12866 (58 FR
51735, October 4, 1993), this action is a
significant regulatory action because it
raises novel legal and policy issues.
Accordingly, the EPA submitted this
action to the Office of Management and
Budget (OMB) for review under
Executive Orders 12866 and 13563 (76
FR 3821, January 21, 2011) and any
changes made in response to OMB
recommendations have been
documented in the docket for this
action.
B. Paperwork Reduction Act
The information collection
requirements in this supplemental
proposed rule have been submitted for
approval to the Office of Management
and Budget (OMB) under the Paperwork
Reduction Act, 44 U.S.C. 3501, et seq.
The Information Collection Request
(ICR) document prepared by the EPA
has been assigned EPA ICR number
2448.01.
We are proposing changes to the
paperwork requirements to the
ferroalloys production source category
that were proposed in 2011. In the 2011
proposal, we proposed paperwork
requirements in the form of increased
frequency and number of pollutants
tested for stack testing as described in
§ 63.1625(c) and tighter parameter
monitoring requirements to demonstrate
continuous compliance as described in
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§ 63.1625(c)(4) and § 63.1626. We are
not proposing changes to these
requirements. However, in this
supplemental proposal we are
proposing more frequent opacity
monitoring requirements compared to
the 2011 proposal and are removing the
shop building process fugitives
monitoring requirements (to
demonstrate negative pressure) that we
proposed in 2011.
In addition, in the 2011 proposal, we
included an estimate of the burden
associated with the affirmative defense
in the ICR. However, as explained
above, in this supplemental proposal we
are withdrawing our proposal to include
an affirmative defense and the burden
estimate has been revised accordingly.
We estimate two regulated entities are
currently subject to subpart XXX and
will be subject to this action. The
annual monitoring, reporting and
recordkeeping burden for this collection
(averaged over the first 3 years after the
effective date of the standards) as a
result of the supplemental proposal
revised amendments to subpart XXX
(Ferroalloys Production) is estimated to
be $643,845 per year. This includes 496
labor hours per year at a total labor cost
of $44,366 per year and total non-labor
capital and operation and maintenance
costs, of $599,479 per year. This
estimate includes performance tests,
notifications, reporting and
recordkeeping associated with the new
requirements for ferroalloys production
operations. The total burden for the
federal government (averaged over the
first 3 years after the effective date of the
standard) is estimated to be 48 hours per
year at a total labor cost of $2,177 per
year. Burden is defined at 5 CFR
1320.3(b).
An agency may not conduct or
sponsor and a person is not required to
respond to, a collection of information
unless it displays a currently valid OMB
control number. The OMB control
numbers for the EPA’s regulations in 40
CFR are listed in 40 CFR part 9.
To comment on the Agency’s need for
this information, the accuracy of the
provided burden estimates and any
suggested methods for minimizing
respondent burden, the EPA has
established a public docket for this rule,
which includes this ICR, under Docket
ID number Docket ID Number EPA–HQ–
OAR–2010–0895. Submit any comments
related to the ICR to the EPA and OMB.
See ADDRESSES section at the beginning
of this notice for where to submit
comments to the EPA. Send comments
to OMB at the Office of Information and
Regulatory Affairs, Office of
Management and Budget, 725 17th
Street NW., Washington, DC 20503,
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subject to the requirements of sections
202 or 205 of the UMRA.
This rule is also not subject to the
requirements of section 203 of UMRA
because it contains no regulatory
requirements that might significantly or
uniquely affect small governments as it
contains no requirements that apply to
such governments nor does it impose
obligations upon them.
C. Regulatory Flexibility Act
The Regulatory Flexibility Act (RFA)
generally requires an agency to prepare
a regulatory flexibility analysis of any
rule subject to notice and comment
rulemaking requirements under the
Administrative Procedure Act, or any
other statute, unless the agency certifies
that the rule will not have a significant
economic impact on a substantial
number of small entities. Small entities
include small businesses, small
organizations and small governmental
jurisdictions.
For purposes of assessing the impacts
of this final rule on small entities, small
entity is defined as: (1) a small business
as defined by the Small Business
Administration’s (SBA) regulations at 13
CFR 121.201; (2) a small governmental
jurisdiction that is a government of a
city, county, town, school district or
special district with a population of less
than 50,000; and (3) a small
organization that is any not-for-profit
enterprise that is independently owned
and operated and is not dominant in its
field. For this source category, which
has the NAICS code 331110 (i.e.,
Electrometallurgical ferroalloy product
manufacturing), the SBA small business
size standard is 1,000 employees
according to the SBA small business
standards definitions.
After considering the economic
impacts of today’s action on small
entities, I certify that this action will not
have a significant economic impact on
a substantial number of small entities.
Neither of the companies affected by
this rule is considered to be a small
entity per the definition provided in this
section.
tkelley on DSK3SPTVN1PROD with PROPOSALS2
Attention: Desk Office for the EPA.
Since OMB is required to make a
decision concerning the ICR between 30
and 60 days after October 6, 2014, a
comment to OMB is best assured of
having its full effect if OMB receives it
by November 5, 2014. The final rule will
respond to any OMB or public
comments on the information collection
requirements contained in this proposal.
E. Executive Order 13132: Federalism
This action does not have federalism
implications. It will not have substantial
direct effects on the states, on the
relationship between the national
government and the states, or on the
distribution of power and
responsibilities among the various
levels of government, as specified in
Executive Order 13132. None of the
facilities subject to this action are
owned or operated by state governments
and, because no new requirements are
being promulgated, nothing in this
action will supersede state regulations.
Thus, Executive Order 13132 does not
apply to this action.
D. Unfunded Mandates Reform Act
This action does not contain a federal
mandate under the provisions of Title II
of the Unfunded Mandates Reform Act
of 1995 (UMRA), 2 U.S.C. 1531–1538 for
state, local, or tribal governments, or the
private sector. The action would not
result in expenditures of $100 million or
more for state, local and tribal
governments, in aggregate, or the private
sector in any 1 year. This final action
imposes no enforceable duties on any
state, local, or tribal governments, or the
private sector. Thus, this action is not
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F. Executive Order 13175: Consultation
and Coordination With Indian Tribal
Governments
This action does not have tribal
implications, as specified in Executive
Order 13175 (65 FR 67249, November 9,
2000). Thus, Executive Order 13175
does not apply to this action. The EPA
specifically solicited comment on this
action from tribal officials in the 2011
proposal and none were received during
the comment period for that proposal.
G. Executive Order 13045: Protection of
Children From Environmental Health
Risks and Safety Risks
This action is not subject to Executive
Order 13045 (62 FR 19885, April 23,
1997) because the Agency does not
believe the environmental health risks
or safety risks addressed by this action
present a disproportionate risk to
children. The report, Analysis of SocioEconomic Factors for Populations Living
Near Ferroalloys Facilities, shows that,
prior to the implementation of the
provisions included in the proposal and
this supplemental proposal, on a
nationwide basis, there are
approximately 31,000 people exposed to
a cancer risk at or above 1-in-1 million
and approximately 1,500 people
exposed to a chronic noncancer TOSHI
greater than 1 due to emissions from the
source category. The percentages for all
demographic groups, including children
18 years and younger, are similar to or
lower than their respective nationwide
percentages. Further, implementation of
the provisions included in this action is
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expected to significantly reduce the
number of at-risk people due to HAP
emissions from these sources (from up
to 31,000 to about 6,600), providing
significant benefit to all the
demographic groups in the at-risk
population.
This rule is expected to reduce
environmental impacts for everyone,
including children. This action
establishes emissions limits at the levels
based on MACT, as required by the
CAA. Based on our analysis, we believe
that this rule does not have a
disproportionate impact on children.
H. Executive Order 13211: Actions
Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use
This action is not a ‘‘significant
energy action’’ as defined under
Executive Order 13211, because it is not
likely to have a significant adverse effect
on the supply, distribution or use of
energy. This action will not create any
new requirements that affect the energy
supply, distribution or use sectors.
I. National Technology Transfer and
Advancement Act
Section 12(d) of the National
Technology Transfer and Advancement
Act of 1995 (NTTAA), Public Law 104–
113, 12(d) (15 U.S.C. 272 note) directs
the EPA to use voluntary consensus
standards (VCS) in its regulatory
activities, unless to do so would be
inconsistent with applicable law or
otherwise impractical. VCS are
technical standards (e.g., materials
specifications, test methods, sampling
procedures and business practices) that
are developed or adopted by VCS
bodies. The NTTAA directs the EPA to
provide Congress, through OMB,
explanations when the agency decides
not to use available and applicable VCS.
This supplemental proposal involves
technical standards. The EPA has
decided to use EPA Methods 1, 2, 3A,
3B, 4, 5, 5D, 9, 10, 26A, 29, 30B, 316,
CARB 429, SW–846 Method 3052, SW–
846 Method 7471b and EPA water
Method 1631E of 40 CFR Part 60,
Appendix A. No applicable VCS were
identified for EPA Methods 30B, 5D,
316, 1631E and CARB 429, SW–846
Method 3052 and SW–846 Method
7471b.
Two VCS were identified acceptable
alternatives to the EPA test methods for
the purposes of this rule. The VCS
standard ANSI/ASME PTC 19–10–
1981—Part 10, ‘‘Flue and Exhaust Gas
Analyses’’ is an acceptable alternative to
Method 3B. The VCS ASTM D7520–09,
‘‘Standard Test Method for Determining
the Opacity of a Plume in the Outdoor
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Ambient Atmosphere’’ is an acceptable
alternative to Method 9 under specified
conditions. The Agency identified 18
VCS as being potentially applicable to
these methods cited in this rule.
However, the EPA determined that the
18 candidate VCS would not be
practical due to lack of equivalency,
documentation, validation data and
other important technical and policy
considerations. The 18 VCS and other
information and conclusions, including
the search and review results, are in the
docket for this rule.
Under §§ 63.7(f) and 63.8(f) of Subpart
A of the General Provisions, a source
may apply to the EPA for permission to
use alternative test methods or
alternative monitoring requirements in
place of any required testing methods,
performance specifications, or
procedures in the proposed rule.
J. Executive Order 12898: Federal
Actions To Address Environmental
Justice in Minority Populations and
Low-Income Populations
Executive Order 12898 (59 FR 7629,
February 16, 1994) establishes federal
executive policy on environmental
justice. Its main provision directs
federal agencies, to the greatest extent
practicable and permitted by law, to
make environmental justice part of their
mission by identifying and addressing,
as appropriate, disproportionately high
and adverse human health or
environmental effects of their programs,
policies and activities on minority
populations and low-income
populations in the United States.
The EPA has determined that the
current health risks posed by emissions
from this source category are
unacceptable. There are up to 31,000
people nationwide that are currently
subject to health risks which may not be
considered negligible (i.e., cancer risks
greater than 1-in-1 million or chronic
noncancer TOSHI greater than 1) due to
emissions from this source category.
The demographic makeup of this ‘‘atrisk’’ population is similar to the
national distribution for all
demographic groups. The proposed
supplemental requirements along with
other proposed requirements (76 FR
72508) will reduce the number of
people in this at-risk group, from up to
31,000, to about 6,600 people. Based on
this analysis, the EPA has determined
that the proposed supplemental
requirements will not have
disproportionately high and adverse
human health or environmental effects
on minority or low-income populations
because it increases the level of
environmental protection for all affected
populations.
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List of Subjects in 40 CFR Part 63
Air pollution control, Environmental
protection, Hazardous substances,
Incorporation by reference, Reporting
and recordkeeping requirements.
Dated: September 4, 2014.
Gina McCarthy,
Administrator.
For the reasons stated in the
preamble, part 63 of title 40, chapter I,
of the Code of Federal Regulations is
proposed to be amended as follows:
PART 63—[AMENDED]
1. The authority citation for part 63
continues to read as follows:
■
Authority: 42 U.S.C. 7401, et seq.
2. Section 63.14 is amended by:
a. Adding paragraph (b)(84);
b. Revising paragraph (i)(1);
c. Revising paragraph (p)(6) and
adding paragraphs (p)(21) and (p)(22);
and
■ d. By adding paragraph (s).
■
■
■
■
§ 63.14
Incorporations by reference.
(b) * * *
(84) ASTM D7520–09, ‘‘Standard Test
Method for Determining the Opacity in
a Plume in an Outdoor Ambient
Atmosphere,’’ IBR approved for
§§ 63.1625(b) and 63.1657(b).
*
*
*
*
*
(i) * * *
(1) ANSI/ASME PTC 19.10–1981,
Flue and Exhaust Gas Analyses [Part 10,
Instruments and Apparatus], issued
August 31, 1981 IBR approved for
§§ 63.309(k), 63. 772(e), 63.772(h),
63.865(b), 63.1282(d) and (g),
63.1625(b), 63.3166(a), 63.3360(e),
63.3545(a), 63.3555(a), 63.4166(a),
63.4362(a), 63.4766(a), 63.4965(a),
63.5160(d), 63.9307(c), 63.9323(a),
63.11148(e), 63.11155(e), 63.11162(f),
63.11163(g), 63.11410(j), 63.11551(a),
63.11646(a), 63.11945, table 5 to subpart
DDDDD of this part, table 4 to subpart
JJJJJ of this part, Table 5 of subpart
UUUUU of this part and table 1 to
subpart ZZZZZ of this part.
*
*
*
*
*
(p) * * *
(6) SW–846–7471B, Mercury in Solid
Or Semisolid Waste (Manual ColdVapor Technique), Revision 2, February
2007, in EPA Publication No. SW–846,
Test Methods for Evaluating Solid
Waste, Physical/Chemical Methods,
Third Edition, IBR approved for
§ 63.1625(b), table 6 to subpart DDDDD
of this part and table 5 to subpart JJJJJJ
of this part.
*
*
*
*
*
(21) SW–846–Method 3052,
Microwave Assisted Acid Digestion Of
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Siliceous and Organically Based
Matrices, Revision 0, December 1996, in
EPA Publication No. SW–846, Test
Methods for Evaluating Solid Waste,
Physical/Chemical Methods, Third
Edition, IBR approved for § 63.1625(b).
(22) Method 1631, Revision E:
Mercury in Water by Oxidation, Purge
and Trap and Cold Vapor Atomic
Fluorescence Spectrometry, August
2002 located at: https://water.epa.gov/
scitech/methods/cwa/metals/mercury/
upload/2007_07_10_methods_method_
mercury_1631.pdf, IBR approved for
§ 63.1625(b).
*
*
*
*
*
(s) The following material is available
from the California Air Resources Board
(CARB), 1102 Q Street, Sacramento,
California 95814, (https://
www.arb.ca.gov/testmeth/).
(1) Method 429, Determination of
Polycyclic Aromatic Hydrocarbon
(PAH) Emissions from Stationary
Sources, Adopted September 1989,
Amended July 1997, IBR approved for
§ 63.1625(b).
(2) [Reserved]
Subpart XXX—[Amended]
3. Section 63.1620 is added to read as
follows:
■
§ 63.1620
Am I subject to this subpart?
(a) You are subject to this subpart if
you own or operate a new or existing
ferromanganese and/or silicomanganese
production facility that is a major source
or is co-located at a major source of
hazardous air pollutant emissions.
(b) You are subject to this subpart if
you own or operate any of the following
equipment as part of a ferromanganese
or silicomanganese production facility:
(1) Open, semi-sealed, or sealed
submerged arc furnace,
(2) Casting operations,
(3) Metal oxygen refining (MOR)
process,
(4) Crushing and screening
operations,
(5) Outdoor fugitive dust sources.
(c) A new affected source is any of the
sources listed in paragraph (b) of this
section for which construction or
reconstruction commenced after [DATE
OF FINAL RULE PUBLICATION IN
THE FEDERAL REGISTER].
(d) Table 1 of this subpart specifies
the provisions of subpart A of this part
that apply to owners and operators of
ferromanganese and silicomanganese
production facilities subject to this
subpart.
(e) If you are subject to the provisions
of this subpart, you are also subject to
title V permitting requirements under 40
CFR parts 70 or 71, as applicable.
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(f) Emission standards in this subpart
apply at all times.
■ 4. Section 63.1621 is added to read as
follows:
§ 63.1621
What are my compliance dates?
(a) Existing affected sources must be
in compliance with the provisions
specified in §§ 63.1620 through 63.1629
no later than [DATE 2 YEARS AFTER
EFFECTIVE DATE OF FINAL RULE].
(b) Affected sources in existence prior
to [DATE OF FINAL RULE
PUBLICATION IN THE FEDERAL
REGISTER] must be in compliance with
the provisions specified in §§ 63.1650
through 63.1661 by November 21, 2001
and until [DATE 2 YEARS AFTER
EFFECTIVE DATE OF FINAL RULE]. As
of [DATE 2 YEARS AFTER EFFECTIVE
DATE OF FINAL RULE], the provisions
of §§ 63.1650 through 63.1661 cease to
apply to affected sources in existence
prior to [DATE OF FINAL RULE
PUBLICATION IN THE FEDERAL
REGISTER]. The provisions of
§§ 63.1650 through 63.1661 remain
enforceable at a source for its activities
prior to [DATE 2 YEARS AFTER
EFFECTIVE DATE OF FINAL RULE].
(c) If you own or operate a new
affected source that commences
construction or reconstruction after
[DATE OF FINAL RULE PUBLICATION
IN THE FEDERAL REGISTER], you must
comply with the requirements of this
subpart by [DATE OF EFFECTIVE DATE
OF FINAL RULE], or upon startup of
operations, whichever is later.
■ 5. Section 63.1622 is added to read as
follows:
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§ 63.1622
subpart?
What definitions apply to this
Terms in this subpart are defined in
the Clean Air Act (Act), in subpart A of
this part, or in this section as follows:
Bag leak detection system means a
system that is capable of continuously
monitoring particulate matter (dust)
loadings in the exhaust of a baghouse in
order to detect bag leaks and other upset
conditions. A bag leak detection system
includes, but is not limited to, an
instrument that operates on
triboelectric, light scattering, light
transmittance, or other effect to
continuously monitor relative
particulate matter loadings.
Capture system means the collection
of components used to capture the gases
and fumes released from one or more
emissions points and then convey the
captured gas stream to a control device
or to the atmosphere. A capture system
may include, but is not limited to, the
following components as applicable to a
given capture system design: duct intake
devices, hoods, enclosures, ductwork,
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dampers, manifolds, plenums, fans and
roofline ventilation systems.
Casting means the period of time from
when molten ferroalloy is removed from
the tapping station until pouring into
casting molds or beds is completed.
This includes the following operations:
pouring alloy from one ladle to another,
slag separation, slag removal and ladle
transfer by crane, truck, or other
conveyance.
Crushing and screening equipment
means the crushers, grinders, mills,
screens and conveying systems used to
crush, size and prepare for packing
manganese-containing materials,
including raw materials, intermediate
products and final products.
Electric arc furnace means any
furnace where electrical energy is
converted to heat energy by
transmission of current between
electrodes partially submerged in the
furnace charge.
Furnace process cycle means the
period in which the furnace is tapped to
the time in which the furnace is tapped
again and includes periods of charging,
smelting, tapping, casting and ladle
raking. For multiple furnaces operating
within a single shop building, furnace
process cycle means a period sufficient
to capture a full cycle of charging,
smelting, tapping, casting and ladle
raking for each furnace within the shop
building.
Ladle treatment means a post-tapping
process including metal and alloy
additions where chemistry adjustments
are made in the ladle after furnace
smelting to achieve a specified product.
Local ventilation means hoods and
ductwork designed to capture process
fugitive emissions close to the area
where the emissions are generated (e.g.,
tap hoods).
Metal oxygen refining (MOR) process
means the reduction of the carbon
content of ferromanganese through the
use of oxygen.
Outdoor fugitive dust source means a
stationary source from which hazardous
air pollutant-bearing particles are
discharged to the atmosphere due to
wind or mechanical inducement such as
vehicle traffic. Fugitive dust sources
include plant roadways, yard areas and
outdoor material storage and transfer
operations.
Plant roadway means any area at a
ferromanganese and silicomanganese
production facility that is subject to
plant mobile equipment, such as
forklifts, front end loaders, or trucks,
carrying manganese-bearing materials.
Excluded from this definition are
employee and visitor parking areas,
provided they are not subject to traffic
by plant mobile equipment.
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Process fugitive emissions source
means a source of hazardous air
pollutant emissions that is associated
with a ferromanganese or
silicomanganese production facility and
is not a fugitive dust source. Process
fugitive sources include emissions that
escape capture from the electric arc
furnace, tapping operations, casting
operations, ladle treatment, MOR or
crushing and screening equipment.
Roofline ventilation system means an
exhaust system designed to evacuate
process fugitive emissions that collect in
the roofline area to a control device.
Shop building means the building
which houses one or more electric arc
furnaces or other processes that generate
process fugitive emissions.
Shutdown means the cessation of
operation of an affected source for any
purpose.
Startup means the setting in operation
of an affected source for any purpose.
Tapping emissions means the gases
and emissions associated with removal
of product from the electric arc furnace
under normal operating conditions,
such as removal of metal under normal
pressure and movement by gravity
down the spout into the ladle and filling
the ladle.
Tapping period means the time from
when a tap hole is opened until the time
a tap hole is closed.
■ 6. Section 63.1623 is added to read as
follows:
§ 63.1623 What are the emissions
standards for new, reconstructed and
existing facilities?
(a) Electric arc furnaces. You must
install, operate and maintain an
effective capture system that collects the
emissions from each electric arc furnace
operation (including charging, melting
and tapping operations and emissions
from any vent stacks) and conveys the
collected emissions to a control device
for the removal of the pollutants
specified in the emissions standards
specified in paragraphs (a)(1) through
(a)(5) of this section.
(1) Particulate matter emissions. (i)
You must not discharge exhaust gases
from each electric arc furnace operation
containing particulate matter in excess
of 4.0 milligrams per dry standard cubic
meter (mg/dscm) into the atmosphere
from any new or reconstructed electric
arc furnace.
(ii) You must not discharge exhaust
gases from each electric arc furnace
operation containing particulate matter
in excess of 25 mg/dscm into the
atmosphere from any existing electric
arc furnace.
(2) Mercury emissions. (i) You must
not discharge exhaust gases from each
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electric arc furnace operation containing
mercury emissions in excess of 17 mg/
dscm into the atmosphere from any new
or reconstructed electric arc furnace
when producing ferromanganese.
(ii) You must not discharge exhaust
gases from each electric arc furnace
operation containing mercury emissions
in excess of 170 mg/dscm into the
atmosphere from any existing electric
arc furnace when producing
ferromanganese.
(iii) You must not discharge exhaust
gases from each electric arc furnace
operation containing mercury emissions
in excess of 4.0 mg/dscm into the
atmosphere from any new or
reconstructed electric arc furnace when
producing silicomanganese.
(iv) You must not discharge exhaust
gases from each electric arc furnace
operation containing mercury emissions
in excess of 12 mg/dscm into the
atmosphere from any existing electric
arc furnace when producing
silicomanganese.
(3) Polycyclic aromatic hydrocarbon
emissions. (i) You must not discharge
exhaust gases from each electric arc
furnace operation containing polycyclic
aromatic hydrocarbon emissions in
excess of 1,400 mg/dscm into the
atmosphere from any existing electric
arc furnace when producing
ferromanganese.
(ii) You must not discharge exhaust
gases from each electric arc furnace
operation containing polycyclic
aromatic hydrocarbon emissions in
excess of 880 mg/dscm into the
atmosphere from any new or
reconstructed electric arc furnace when
producing ferromanganese.
(iii) You must not discharge exhaust
gases from each electric arc furnace
operation containing polycyclic
aromatic hydrocarbon emissions in
excess of 120 mg/dscm into the
atmosphere from any existing electric
arc furnace when producing
silicomanganese.
(iv) You must not discharge exhaust
gases from each electric arc furnace
operation containing polycyclic
aromatic hydrocarbon emissions in
excess of 72 mg/dscm into the
atmosphere from any new or
reconstructed electric arc furnace when
producing silicomanganese.
(4) Hydrochloric acid emissions. (i)
You must not discharge exhaust gases
from each electric arc furnace operation
containing hydrochloric acid emissions
in excess of 180 mg/dscm into the
atmosphere from any new or
reconstructed electric arc furnace.
(ii) You must not discharge exhaust
gases from each electric arc furnace
operation containing hydrochloric acid
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emissions in excess of 1,100 mg/dscm
into the atmosphere from any existing
electric arc furnace.
(5) Formaldehyde emissions. You
must not discharge exhaust gases from
each electric arc furnace operation
containing formaldehyde emissions in
excess of 201 mg/dscm into the
atmosphere from any new,
reconstructed or existing electric arc
furnace.
(b) Process fugitive emissions. (1) You
must install, operate and maintain a
capture system that is designed to
collect 95 percent or more of the
emissions from the process fugitive
emissions sources and convey the
collected emissions to a control device
that is demonstrated to meet the
applicable emission limit specified in
paragraph (a)(1) of this section.
(2) The determination of 95-percent
overall capture must be demonstrated as
required by § 63.1624(a).
(3) You must not cause the emissions
exiting from a shop building, to exceed
an average of 8 percent opacity.
(i) The opacity readings from the shop
building must be taken every 15 seconds
during the observed furnace process
cycle and the 15 second readings
averaged to determine if the 8 percent
opacity requirement has been met.
(ii) If the average opacity reading from
the shop building is greater than 8
percent opacity during an observed
furnace process cycle, an additional two
more furnace process cycles must be
observed within 7 days and the average
opacity during the entire observation
periods must be less than 8 percent
opacity.
(iii) At no time during operation may
the average of any two consecutive 6minute blocks be greater than 20 percent
opacity.
(c) Local ventilation emissions. If you
operate local ventilation to capture
tapping, casting, or ladle treatment
emissions and direct them to a control
device other than one associated with
the electric arc furnace, you must not
discharge into the atmosphere any
captured emissions containing
particulate matter in excess of 4.0 mg/
dscm.
(d) MOR process. You must not
discharge into the atmosphere from any
new, reconstructed or existing MOR
process exhaust gases containing
particulate matter in excess of 3.9 mg/
dscm.
(e) Crushing and screening
equipment. You must not discharge into
the atmosphere from any new,
reconstructed, or existing piece of
equipment associated with crushing and
screening exhaust gases containing
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particulate matter in excess of 13 mg/
dscm.
(f) At all times, you must operate and
maintain any affected source, including
associated air pollution control
equipment and monitoring equipment,
in a manner consistent with safety and
good air pollution control practices for
minimizing emissions. Determination of
whether such operation and
maintenance procedures are being used
will be based on information available
to the Administrator that may include,
but is not limited to, monitoring results,
review of operation and maintenance
procedures, review of operation and
maintenance records and inspection of
the source.
■ 7. Section 63.1624 is added to read as
follows:
§ 63.1624 What are the operational and
work practice standards for new,
reconstructed and existing facilities?
(a) Process fugitive emissions sources.
(1) You must prepare and at all times
operate according to, a process fugitive
emissions ventilation plan that
documents the design and operations to
achieve at least 95 percent overall
capture of process fugitive emissions.
The plan will be deemed to achieve this
level of capture if it consists of the
following elements:
(i) Documentation of engineered
hoods and secondary fugitive capture
systems designed according to the most
recent, at the time of construction,
ventilation design principles
recommended by the American
Conference of Governmental Industrial
Hygienists (ACGIH). The process
fugitive emissions capture systems must
be designed to achieve sufficient air
changes to evacuate the collection area
frequently enough to ensure process
fugitive emissions are effectively
collected by the ventilation system and
ducted to the control device(s). Include
a schematic for each building indicating
duct sizes and locations, hood sizes and
locations, control device types, size and
locations and exhaust locations. The
design plan must address variables that
affect capture efficiency such as
operations that create cross-drafts and
describe protocol or design
characteristics to minimize such events.
The design plan must identify the key
operating parameters and measurement
locations to ensure proper operation of
the system and establish monitoring
parameter values that reflect effective
capture.
(ii) List of critical maintenance
actions and the schedule to conduct
them.
(2) You must submit a copy of the
process fugitive emissions ventilation
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plan to the designated permitting
authority on or before the applicable
compliance date for the affected source
as specified in § 63.1621 in electronic
format and whenever an update is made
to the plan. The requirement for you to
operate the facility according to the
written process fugitives ventilation
plan and specifications must be
incorporated in the operating permit for
the facility that is issued by the
designated permitting authority under
part 70 of this chapter.
(3) You must update the information
required in paragraph (a)(1) and (a)(2) of
this section every 5 years or whenever
there is a significant change in variables
that affect process fugitives ventilation
design such as the addition of a new
process.
(b) Outdoor fugitive dust sources. (1)
You must prepare and at all times
operate according to, an outdoor fugitive
dust control plan that describes in detail
the measures that will be put in place
to control outdoor fugitive dust
emissions from the individual fugitive
dust sources at the facility.
(2) You must submit a copy of the
outdoor fugitive dust control plan to the
designated permitting authority on or
before the applicable compliance date
for the affected source as specified in
§ 63.1621. The requirement for you to
operate the facility according to a
written outdoor fugitive dust control
plan must be incorporated in the
operating permit for the facility that is
issued by the designated permitting
authority under part 70 of this chapter.
(3) You are permitted to use existing
manuals that describe the measures in
place to control outdoor fugitive dust
sources required as part of a state
implementation plan or other federally
enforceable requirement for particulate
matter to satisfy the requirements of
paragraph (b)(1) of this section.
■ 8. Section 63.1625 is added to read as
follows:
tkelley on DSK3SPTVN1PROD with PROPOSALS2
§ 63.1625 What are the performance test
and compliance requirements for new,
reconstructed and existing facilities?
(a) Performance testing. (1) All
performance tests must be conducted
according to the requirements in § 63.7
of subpart A.
(2) Each performance test in
paragraphs (c)(1) and (c)(2) must consist
of three separate and complete runs
using the applicable test methods.
(3) Each run must be conducted under
conditions that are representative of
normal process operations.
(4) Performance tests conducted on air
pollution control devices serving
electric arc furnaces must be conducted
such that at least one tapping period, or
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at least 20 minutes of a tapping period,
whichever is less, is included in at least
two of the three runs. The sampling
time for each run must be at least as
long as three times the average tapping
period of the tested furnace, but no less
than 60 minutes.
(5) You must conduct the
performance tests specified in paragraph
(c) of this section under such conditions
as the Administrator specifies based on
representative performance of the
affected source for the period being
tested. Upon request, you must make
available to the Administrator such
records as may be necessary to
determine the conditions of
performance tests.
(b) Test methods. The following test
methods in appendices of part 60 or 63
of this chapter or as specified elsewhere
must be used to determine compliance
with the emission standards.
(1) Method 1 of Appendix A–1 of 40
CFR part 60 to select the sampling port
location and the number of traverse
points.
(2) Method 2 of Appendix A–1 of 40
CFR part 60 to determine the volumetric
flow rate of the stack gas.
(3)(i) Method 3A or 3B of Appendix
A–2 of 40 CFR part 60 (with integrated
bag sampling) to determine the outlet
stack and inlet oxygen and CO2 content.
(ii) You must measure CO2
concentrations at both the inlet and
outlet of the positive pressure fabric
filter in conjunction with the pollutant
sampling in order to determine
isokinetic sampling rates.
(iii) As an alternative to EPA
Reference Method 3B, ASME PTC–19–
10–1981–Part 10, ‘‘Flue and Exhaust
Gas Analyses’’ may be used
(incorporated by reference, see 40 CFR
63.14).
(4) Method 4 of Appendix A–3 of 40
CFR part 60 to determine the moisture
content of the stack gas.
(5)(i) Method 5 of Appendix A–3 of 40
CFR part 60 to determine the particulate
matter concentration of the stack gas for
negative pressure baghouses and
positive pressure baghouses with stacks.
(ii) Method 5D of Appendix A–3 of 40
CFR part 60 to determine particulate
matter concentration and volumetric
flow rate of the stack gas for positive
pressure baghouses without stacks.
(iii) The sample volume for each run
must be a minimum of 4.0 cubic meters
(141.2 cubic feet). For Method 5 testing
only, you may choose to collect less
than 4.0 cubic meters per run provided
that the filterable mass collected (e.g.,
net filter mass plus mass of nozzle,
probe and filter holder rinses) is equal
to or greater than 10 mg. If the total
mass collected for two of three of the
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runs is less than 10 mg, you must
conduct at least one additional test run
that produces at least 10 mg of filterable
mass collected (i.e., at a greater sample
volume). Report the results of all test
runs.
(6) Method 30B of Appendix A–8 of
40 CFR part 60 to measure mercury.
Apply the minimum sample volume
determination procedures as per the
method.
(7)(i) Method 26A of Appendix A–8 of
40 CFR part 60 to determine outlet stack
or inlet hydrochloric acid concentration.
(ii) Collect a minimum volume of 2
cubic meters.
(8)(i) Method 316 of Appendix A of 40
CFR part 63 to determine outlet stack or
inlet formaldehyde.
(ii) Collect a minimum volume of 1.0
cubic meter.
(9) Method 9 of Appendix A–4 of 40
CFR part 60 to determine opacity.
ASTM D7520–09, ‘‘Standard Test
Method for Determining the Opacity of
a Plume in the Outdoor Ambient
Atmosphere’’ may be used (incorporated
by reference, see 40 CFR 63.14) with the
following conditions:
(i) During the digital camera opacity
technique (DCOT) certification
procedure outlined in Section 9.2 of
ASTM D7520–09, you or the DCOT
vendor must present the plumes in front
of various backgrounds of color and
contrast representing conditions
anticipated during field use such as blue
sky, trees and mixed backgrounds
(clouds and/or a sparse tree stand).
(ii) You must also have standard
operating procedures in place including
daily or other frequency quality checks
to ensure the equipment is within
manufacturing specifications as
outlined in Section 8.1 of ASTM
D7520–09.
(iii) You must follow the
recordkeeping procedures outlined in
§ 63.10(b)(1) for the DCOT certification,
compliance report, data sheets and all
raw unaltered JPEGs used for opacity
and certification determination.
(iv) You or the DCOT vendor must
have a minimum of four (4)
independent technology users apply the
software to determine the visible
opacity of the 300 certification plumes.
For each set of 25 plumes, the user may
not exceed 20 percent opacity of any
one reading and the average error must
not exceed 7.5 percent opacity.
(v) Use of this approved alternative
does not provide or imply a certification
or validation of any vendor’s hardware
or software. The onus to maintain and
verify the certification and/or training of
the DCOT camera, software and operator
in accordance with ASTM D7520–09
and these requirements is on the
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facility, DCOT operator and DCOT
vendor.
(10) Methods to determine the
mercury content of manganese ore
including a total metals digestion
technique, SW–846 Method 3052 and a
mercury specific analysis method, SW–
846 Method 7471b (Cold Vapor AA) or
Water Method 1631E (Cold Vapor
Atomic Fluorescence).
(11) California Air Resources Board
(CARB) Method 429, Determination of
Polycyclic Aromatic Hydrocarbon
(PAH) Emissions from Stationary
Sources to determine total PAH
emissions. The method is available from
California Resources Board, 1102 Q
Street, Sacramento, California 95814,
(https://www.arb.ca.gov/testmeth/vol3/
M_429.pdf).
(12) The owner or operator may use
alternative measurement methods
approved by the Administrator
following the procedures described in
§ 63.7(f) of subpart A.
(c) Compliance demonstration with
the emission standards.
(1) Initial Performance Test. You must
conduct an initial performance test for
air pollution control devices or vent
stacks subject to § 63.1623(a), (b)(1) and
(c) through (e) to demonstrate
compliance with the applicable
emission standards.
(2) Periodic Performance Test. (i) You
must conduct annual particulate matter
tests for wet scrubber air pollution
control devices subject to § 63.1623(a)(1)
to demonstrate compliance with the
applicable emission standards.
(ii) You must conduct particulate
matter tests every five years for fabric
filter air pollution control devices
subject to § 63.1623(a)(1) to demonstrate
compliance with the applicable
emission standards.
(iii) You must conduct annual
mercury performance tests for wet
scrubber and fabric filter air pollution
control devices or vent stacks subject to
§ 63.1623 (a)(2) to demonstrate
compliance with the applicable
emission standards.
(iv) You must conduct ongoing
performance tests every five years for air
pollution control devices or vent stacks
subject to § 63.1623(a)(3) through (a)(5),
(b)(1) and (c) through (e) to demonstrate
compliance with the applicable
emission standards.
(3) Compliance is demonstrated for all
sources performing emissions tests if the
average concentration for the three runs
comprising the performance test does
not exceed the standard.
(4) Operating Limits. You must
establish parameter operating limits
according to paragraphs (c)(4)(i) through
(c)(4)(iv) of this section. Unless
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otherwise specified, compliance with
each established operating limit shall be
demonstrated for each 24-hour
operating day.
(i) For a wet particulate matter
scrubber, you must establish the
minimum liquid flow rate and pressure
drop as your operating limits during the
three-run performance test. If you use a
wet particulate matter scrubber and you
conduct separate performance tests for
particulate matter, you must establish
one set of minimum liquid flow rate and
pressure drop operating limits. If you
conduct multiple performance tests, you
must set the minimum liquid flow rate
and pressure drop operating limits at
the highest minimum hourly average
values established during the
performance tests.
(ii) For a wet acid gas scrubber, you
must establish the minimum liquid flow
rate and pH, as your operating limits
during the three-run performance test. If
you use a wet acid gas scrubber and you
conduct separate performance tests for
hydrochloric acid, you must establish
one set of minimum liquid flow rate and
pH operating limits. If you conduct
multiple performance tests, you must
set the minimum liquid flow rate and
pH operating limits at the highest
minimum hourly average values
established during the performance
tests.
(iii) For emission sources with fabric
filters that choose to demonstrate
continuous compliance through bag leak
detection systems you must install a bag
leak detection system according to the
requirements in § 63.1626(d) and you
must set your operating limit such that
the sum duration of bag leak detection
system alarms does not exceed 5 percent
of the process operating time during a
6-month period.
(iv) If you choose to demonstrate
continuous compliance through a
particulate matter CEMS, you must
determine an operating limit
(particulate matter concentration in mg/
dscm) during performance testing for
initial particulate matter compliance.
The operating limit will be the average
of the PM filterable results of the three
Method 5 or Method 5D of Appendix A–
3 of 40 CFR part 60 performance test
runs. To determine continuous
compliance, the hourly average PM
concentrations will be averaged on a
rolling 30 operating day basis. Each 30
operating day average would have to
meet the PM operating limit.
(d) Compliance demonstration with
shop building opacity standards. (1)(i) If
you are subject to § 63.1623(b), you
must conduct opacity observations of
the shop building to demonstrate
compliance with the applicable opacity
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standards according to § 63.6(h)(5),
which addresses the conduct of opacity
or visible emission observations.
(ii) You must conduct the opacity
observations according to EPA Method
9 of 40 CFR part 60, Appendix A–4, for
a period that includes at least one
complete furnace process cycle for each
furnace.
(iii) You must conduct the opacity
observations at least once per week for
each operating furnace.
(2) You must determine shop building
opacity operating parameters based on
either monitoring data collected during
the compliance demonstration or
established in an engineering
assessment.
(i) If you choose to establish
parameters based on the initial
compliance demonstration, you must
simultaneously monitor parameter
values for one of the following: the
capture system fan motor amperes and
all capture system damper positions, the
total volumetric flow rate to the air
pollution control device and all capture
system damper positions, or volumetric
flow rate through each separately
ducted hood that comprises the capture
system. Subsequently you must monitor
these parameters according to
§ 63.1626(h) and ensure they remain
within 10 percent of the value recorded
during the compliant opacity readings.
(ii) If you choose to establish
parameters based on an engineering
assessment, then a design analysis shall
include, for example, specifications,
drawings, schematics and ventilation
system diagrams prepared by the owner
or operator or capture or control system
manufacturer or vendor that describes
the shop building opacity system
ventilation design based on acceptable
engineering texts. The design analysis
shall address vent stream characteristics
and ventilation system design operating
parameters such as fan amps, damper
position, flow rate and/or other
specified parameters.
(iii) You may petition the
Administrator to reestablish these
parameter ranges whenever you can
demonstrate to the Administrator’s
satisfaction that the electric arc furnace
operating conditions upon which the
parameter ranges were previously
established are no longer applicable.
The values of these parameter ranges
determined during the most recent
demonstration of compliance must be
maintained at the appropriate level for
each applicable period.
(3) You will demonstrate continuing
compliance with the opacity standards
by following the monitoring
requirements specified in § 63.1626(g)
and the reporting and recordkeeping
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requirements specified in
§ 63.1628(b)(5).
(e) Compliance demonstration with
the operational and work practice
standards—(1) Process fugitive
emissions sources. You will
demonstrate compliance by developing
and maintaining a process fugitives
ventilation plan, by reporting any
deviations from the plan and by taking
necessary corrective actions to correct
deviations or deficiencies.
(2) Outdoor fugitive dust sources. You
will demonstrate compliance by
developing and maintaining an outdoor
fugitive dust control plan, by reporting
any deviations from the plan and by
taking necessary corrective actions to
correct deviations or deficiencies.
(3) Baghouses equipped with bag leak
detection systems. You will demonstrate
compliance with the bag leak detection
system requirements by developing
analysis and supporting documentation
demonstrating conformance with EPA
guidance and specifications for bag leak
detection systems in § 60.57c(h).
■ 9. Section 63.1626 is added to read as
follows:
tkelley on DSK3SPTVN1PROD with PROPOSALS2
§ 63.1626 What monitoring requirements
must I meet?
(a) Baghouse Monitoring. You must
prepare and at all times operate
according to, a standard operating
procedures manual that describes in
detail procedures for inspection,
maintenance and bag leak detection and
corrective action plans for all baghouses
(fabric filters or cartridge filters) that are
used to control process vents, process
fugitive, or outdoor fugitive dust
emissions from any source subject to the
emissions standards in § 63.1623.
(b) You must submit the standard
operating procedures manual for
baghouses required by paragraph (a) of
this section to the Administrator or
delegated authority for review and
approval.
(c) Unless the baghouse is equipped
with a bag leak detection system, the
procedures that you specify in the
standard operating procedures manual
for inspections and routine maintenance
must, at a minimum, include the
requirements of paragraphs (c)(1) and
(c)(2) of this section.
(1) You must observe the baghouse
outlet on a daily basis for the presence
of any visible emissions.
(2) In addition to the daily visible
emissions observation, you must
conduct the following activities:
(i) Weekly confirmation that dust is
being removed from hoppers through
visual inspection, or equivalent means
of ensuring the proper functioning of
removal mechanisms.
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(ii) Daily check of compressed air
supply for pulse-jet baghouses.
(iii) An appropriate methodology for
monitoring cleaning cycles to ensure
proper operation.
(iv) Monthly check of bag cleaning
mechanisms for proper functioning
through visual inspection or equivalent
means.
(v) Quarterly visual check of bag
tension on reverse air and shaker-type
baghouses to ensure that the bags are
not kinked (kneed or bent) or lying on
their sides. Such checks are not required
for shaker-type baghouses using selftensioning (spring loaded) devices.
(vi) Quarterly confirmation of the
physical integrity of the baghouse
structure through visual inspection of
the baghouse interior for air leaks.
(vii) Semiannual inspection of fans for
wear, material buildup and corrosion
through visual inspection, vibration
detectors, or equivalent means.
(d) Bag leak detection system. (1) For
each baghouse used to control emissions
from an electric arc furnace, you must
install, operate and maintain a bag leak
detection system according to
paragraphs (d)(2) through (d)(4) of this
section, unless a system meeting the
requirements of paragraph (q) of this
section, for a CEMS and continuous
emissions rate monitoring system, is
installed for monitoring the
concentration of particulate matter. You
may choose to install, operate and
maintain a bag leak detection system for
any other baghouse in operation at the
facility according to paragraphs (d)(2)
through (d)(4) of this section.
(2) The procedures you specified in
the standard operating procedures
manual for baghouse maintenance must
include, at a minimum, a preventative
maintenance schedule that is consistent
with the baghouse manufacturer’s
instructions for routine and long-term
maintenance.
(3) Each bag leak detection system
must meet the specifications and
requirements in paragraphs (d)(3)(i)
through (d)(3)(viii) of this section.
(i) The bag leak detection system must
be certified by the manufacturer to be
capable of detecting PM emissions at
concentrations of 1.0 milligram per dry
standard cubic meter (0.00044 grains
per actual cubic foot) or less.
(ii) The bag leak detection system
sensor must provide output of relative
PM loadings.
(iii) The bag leak detection system
must be equipped with an alarm system
that will alarm when an increase in
relative particulate loadings is detected
over a preset level.
(iv) You must install and operate the
bag leak detection system in a manner
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consistent with the guidance provided
in ‘‘Office of Air Quality Planning and
Standards (OAQPS) Fabric Filter Bag
Leak Detection Guidance’’ EPA–454/R–
98–015, September 1997 (incorporated
by reference) and the manufacturer’s
written specifications and
recommendations for installation,
operation and adjustment of the system.
(v) The initial adjustment of the
system must, at a minimum, consist of
establishing the baseline output by
adjusting the sensitivity (range) and the
averaging period of the device and
establishing the alarm set points and the
alarm delay time.
(vi) Following initial adjustment, you
must not adjust the sensitivity or range,
averaging period, alarm set points, or
alarm delay time, except as detailed in
the approved standard operating
procedures manual required under
paragraph (a) of this section. You cannot
increase the sensitivity by more than
100 percent or decrease the sensitivity
by more than 50 percent over a 365-day
period unless such adjustment follows a
complete baghouse inspection that
demonstrates that the baghouse is in
good operating condition.
(vii) You must install the bag leak
detector downstream of the baghouse.
(viii) Where multiple detectors are
required, the system’s instrumentation
and alarm may be shared among
detectors.
(4) You must include in the standard
operating procedures manual required
by paragraph (a) of this section a
corrective action plan that specifies the
procedures to be followed in the case of
a bag leak detection system alarm. The
corrective action plan must include, at
a minimum, the procedures that you
will use to determine and record the
time and cause of the alarm as well as
the corrective actions taken to minimize
emissions as specified in paragraphs
(d)(4)(i) and (d)(4)(ii) of this section.
(i) The procedures used to determine
the cause of the alarm must be initiated
within 30 minutes of the alarm.
(ii) The cause of the alarm must be
alleviated by taking the necessary
corrective action(s) that may include,
but not be limited to, those listed in
paragraphs (d)(4)(i)(A) through
(d)(4)(i)(F) of this section.
(A) Inspecting the baghouse for air
leaks, torn or broken filter elements, or
any other malfunction that may cause
an increase in emissions.
(B) Sealing off defective bags or filter
media.
(C) Replacing defective bags or filter
media, or otherwise repairing the
control device.
(D) Sealing off a defective baghouse
compartment.
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(E) Cleaning the bag leak detection
system probe, or otherwise repairing the
bag leak detection system.
(F) Shutting down the process
producing the particulate emissions.
(e) If you use a wet particulate matter
scrubber, you must collect the pressure
drop and liquid flow rate monitoring
system data according to § 63.1628,
reduce the data to 24-hour block
averages and maintain the 24-hour
average pressure drop and liquid flowrate at or above the operating limits
established during the performance test
according to § 63.1625(c)(4)(i).
(f) If you use curtains or partitions to
prevent process fugitive emissions from
escaping the area around the process
fugitive emission source or other parts
of the building, you must perform
quarterly inspections of the physical
condition of these curtains or partitions
to determine if there are any tears or
openings.
(g) Shop building opacity. In order to
demonstrate continuous compliance
with the opacity standards in § 63.1623,
you must comply with the requirements
§ 63.1625(d)(1) and one of the
monitoring options in paragraphs (g)(1)
or (g)(2) of this section. The selected
option must be consistent with that
selected during the initial performance
test described in § 63.1625(d)(2).
Alternatively, you may use the
provisions of § 63.8(f) to request
approval to use an alternative
monitoring method.
(1) If you choose to establish
operating parameters during the
compliance test as specified in
§ 63.1625(d)(2)(i), you must meet one of
the following requirements.
(i) Check and record the control
system fan motor amperes and capture
system damper positions once per shift.
(ii) Install, calibrate and maintain a
monitoring device that continuously
records the volumetric flow rate through
each separately ducted hood.
(iii) Install, calibrate and maintain a
monitoring device that continuously
records the volumetric flow rate at the
inlet of the air pollution control device
and check and record the capture
system damper positions once per shift.
(2) If you choose to establish
operating parameters during the
compliance test as specified in
§ 63.1625(d)(2)(ii), you must monitor the
selected parameter(s) on a frequency
specified in the assessment and
according to a method specified in the
engineering assessment
(3) All flow rate monitoring devices
must meet the following requirements:
(i) Be installed in an appropriate
location in the exhaust duct such that
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reproducible flow rate monitoring will
result.
(ii) Have an accuracy ±10 percent over
its normal operating range and be
calibrated according to the
manufacturer’s instructions.
(4) The Administrator may require
you to demonstrate the accuracy of the
monitoring device(s) relative to Methods
1 and 2 of Appendix A–1 of part 60 of
this chapter.
(5) Failure to maintain the appropriate
capture system parameters (e.g., fan
motor amperes, flow rate and/or damper
positions) establishes the need to
initiate corrective action as soon as
practicable after the monitoring
excursion in order to minimize excess
emissions.
(h) Furnace Capture System. You
must perform quarterly (once every
three months) inspections of the furnace
fugitive capture system equipment to
ensure that the hood locations have not
been changed or obstructed because of
contact with cranes or ladles, quarterly
inspections of the physical condition of
hoods and ductwork to the control
device to determine if there are any
openings or leaks in the ductwork,
quarterly inspections of the hoods and
ductwork to determine if there are any
flow constrictions in ductwork due to
dents or accumulated dust and quarterly
examinations of the operational status of
flow rate controllers (pressure sensors,
dampers, damper switches, etc.) to
ensure they are operating correctly. Any
deficiencies must be recorded and
proper maintenance and repairs
performed.
(i) Requirements for sources using
CMS. If you demonstrate compliance
with any applicable emissions limit
through use of a continuous monitoring
system (CMS), where a CMS includes a
continuous parameter monitoring
system (CPMS) as well as a continuous
emissions monitoring system (CEMS),
you must develop a site-specific
monitoring plan and submit this sitespecific monitoring plan, if requested, at
least 60 days before your initial
performance evaluation (where
applicable) of your CMS. Your sitespecific monitoring plan must address
the monitoring system design, data
collection and the quality assurance and
quality control elements outlined in this
section and in § 63.8(d). You must
install, operate and maintain each CMS
according to the procedures in your
approved site-specific monitoring plan.
Using the process described in
§ 63.8(f)(4), you may request approval of
monitoring system quality assurance
and quality control procedures
alternative to those specified in
paragraphs (j)(1) through (j)(6) of this
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section in your site-specific monitoring
plan.
(1) The performance criteria and
design specifications for the monitoring
system equipment, including the sample
interface, detector signal analyzer and
data acquisition and calculations;
(2) Sampling interface location such
that the monitoring system will provide
representative measurements;
(3) Equipment performance checks,
system accuracy audits, or other audit
procedures;
(4) Ongoing operation and
maintenance procedures in accordance
with the general requirements of
§ 63.8(c)(1) and (c)(3);
(5) Conditions that define a
continuous monitoring system that is
out of control consistent with
§ 63.8(c)(7)(i) and for responding to out
of control periods consistent with
§ 63.8(c)(7)(ii) and (c)(8) or Appendix A
to this subpart, as applicable; and
(6) Ongoing recordkeeping and
reporting procedures in accordance with
provisions in § 63.10(c), (e)(1) and
(e)(2)(i) and Appendix A to this subpart,
as applicable.
(j) If you have an operating limit that
requires the use of a CPMS, you must
install, operate and maintain each
continuous parameter monitoring
system according to the procedures in
paragraphs (j)(1) through (j)(7) of this
section.
(1) The continuous parameter
monitoring system must complete a
minimum of one cycle of operation for
each successive 15-minute period. You
must have a minimum of four
successive cycles of operation to have a
valid hour of data.
(2) Except for periods of monitoring
system malfunctions, repairs associated
with monitoring system malfunctions
and required monitoring system quality
assurance or quality control activities
(including, as applicable, system
accuracy audits and required zero and
span adjustments), you must operate the
CMS at all times the affected source is
operating. A monitoring system
malfunction is any sudden, infrequent,
not reasonably preventable failure of the
monitoring system to provide valid data.
Monitoring system failures that are
caused in part by poor maintenance or
careless operation are not malfunctions.
You are required to complete
monitoring system repairs in response
to monitoring system malfunctions and
to return the monitoring system to
operation as expeditiously as
practicable.
(3) You may not use data recorded
during monitoring system malfunctions,
repairs associated with monitoring
system malfunctions, or required
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monitoring system quality assurance or
control activities in calculations used to
report emissions or operating levels.
You must use all the data collected
during all other required data collection
periods in assessing the operation of the
control device and associated control
system.
(4) Except for periods of monitoring
system malfunctions, repairs associated
with monitoring system malfunctions
and required quality monitoring system
quality assurance or quality control
activities (including, as applicable,
system accuracy audits and required
zero and span adjustments), failure to
collect required data is a deviation of
the monitoring requirements.
(5) You must conduct other CPMS
equipment performance checks, system
accuracy audits, or other audit
procedures specified in your sitespecific monitoring plan at least once
every 12 months.
(6) You must conduct a performance
evaluation of each CPMS in accordance
with your site-specific monitoring plan.
(7) You must record the results of
each inspection, calibration and
validation check.
(k) CPMS for measuring gaseous flow.
(1) Use a flow sensor with a
measurement sensitivity of 5 percent of
the flow rate or 10 cubic feet per
minute, whichever is greater,
(2) Check all mechanical connections
for leakage at least every month and
(3) Perform a visual inspection at least
every 3 months of all components of the
flow CPMS for physical and operational
integrity and all electrical connections
for oxidation and galvanic corrosion if
your flow CPMS is not equipped with
a redundant flow sensor.
(l) CPMS for measuring liquid flow.
(1) Use a flow sensor with a
measurement sensitivity of 2 percent of
the flow rate and
(2) Reduce swirling flow or abnormal
velocity distributions due to upstream
and downstream disturbances.
(m) CPMS for measuring pressure. (1)
Minimize or eliminate pulsating
pressure, vibration and internal and
external corrosion and
(2) Use a gauge with a minimum
tolerance of 1.27 centimeters of water or
a transducer with a minimum tolerance
of 1 percent of the pressure range.
(3) Perform checks at least once each
process operating day to ensure pressure
measurements are not obstructed (e.g.,
check for pressure tap pluggage daily).
(n) CPMS for measuring pH. (1)
Ensure the sample is properly mixed
and representative of the fluid to be
measured.
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(2) Check the pH meter’s calibration
on at least two points every eight hours
of process operation.
(o) Particulate Matter CEMS. If you
are using a CEMS to measure particulate
matter emissions to meet requirements
of this subpart, you must install, certify,
operate and maintain the particulate
matter CEMS as specified in paragraphs
(q)(1) through (q)(4) of this section.
(1) You must conduct a performance
evaluation of the PM CEMS according to
the applicable requirements of § 60.13
and Performance Specification 11 at 40
CFR part 60, Appendix B of this
chapter.
(2) During each PM correlation testing
run of the CEMS required by
Performance Specification 11 at 40 CFR
part 60, Appendix B of this chapter, PM
and oxygen (or carbon dioxide) collect
data concurrently (or within a 30-to 60minute period) by both the CEMS and
by conducting performance tests using
Method 5 or 5D at 40 CFR part 60,
Appendix A–3 or Method 17 at 40 CFR
part 60, Appendix A–6 of this chapter.
(3) Perform quarterly accuracy
determinations and daily calibration
drift tests in accordance with Procedure
2 at 40 CFR part 60, Appendix F of this
chapter. Relative Response Audits must
be performed annually and Response
Correlation Audits must be performed
every three years.
(4) Within 60 days after the date of
completing each CEMS relative
accuracy test audit or performance test
conducted to demonstrate compliance
with this subpart, you must submit the
relative accuracy test audit data and the
results of the performance test in the as
specified in § 63.1628(e).
■ 10. Section 63.1627 is added to read
as follows:
§ 63.1627 What notification requirements
must I meet?
(a) You must comply with all of the
notification requirements of § 63.9 of
subpart A, General Provisions.
Electronic notifications are encouraged
when possible.
(b)(1) You must submit the process
fugitives ventilation plan required
under § 63.1624(a), the outdoor fugitive
dust control plan required under
§ 63.1624(b), the site-specific
monitoring plan for CMS required under
§ 63.1626(i) and the standard operating
procedures manual for baghouses
required under § 63.1626(a) to the
Administrator or delegated authority
along with a notification that you are
seeking review and approval of these
plans and procedures. You must submit
this notification no later than [DATE 1
YEAR AFTER EFFECTIVE DATE OF
FINAL RULE]. For sources that
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commenced construction or
reconstruction after [DATE OF
EFFECTIVE DATE OF FINAL RULE],
you must submit this notification no
later than 180 days before startup of the
constructed or reconstructed
ferromanganese or silicomanganese
production facility. For an affected
source that has received a construction
permit from the Administrator or
delegated authority on or before [DATE
OF EFFECTIVE DATE OF FINAL
RULE], you must submit this
notification no later than [DATE 1
YEAR AFTER EFFECTIVE DATE OF
FINAL RULE].
(2) The plans and procedures
documents submitted as required under
paragraph (b)(1) of this section must be
submitted to the Administrator in
electronic format for review and
approval of the initial submittal and
whenever an update is made to the
procedure.
■ 11. Section 63.1628 is added to read
as follows:
§ 63.1628 What recordkeeping and
reporting requirements must I meet?
(a) You must comply with all of the
recordkeeping and reporting
requirements specified in § 63.10 of the
General Provisions that are referenced
in Table 1 to this subpart.
(1) Records must be maintained in a
form suitable and readily available for
expeditious review, according to
§ 63.10(b)(1). However, electronic
recordkeeping and reporting is
encouraged and required for some
records and reports.
(2) Records must be kept on site for
at least two years after the date of
occurrence, measurement, maintenance,
corrective action, report, or record,
according to § 63.10(b)(1).
(b) You must maintain, for a period of
five years, records of the information
listed in paragraphs (b)(1) through
(b)(13) of this section.
(1) Electronic records of the bag leak
detection system output.
(2) An identification of the date and
time of all bag leak detection system
alarms, the time that procedures to
determine the cause of the alarm were
initiated, the cause of the alarm, an
explanation of the corrective actions
taken and the date and time the cause
of the alarm was corrected.
(3) All records of inspections and
maintenance activities required under
§ 63.1626(a) as part of the practices
described in the standard operating
procedures manual for baghouses
required under § 63.1626(c).
(4) Electronic records of the pressure
drop and water flow rate values for wet
scrubbers used to control particulate
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matter emissions as required in
§ 63.1626(e), identification of periods
when the 1-hour average pressure drop
and water flow rate values below the
established minimum established and
an explanation of the corrective actions
taken.
(5) Electronic records of the shop
building capture system monitoring
required under § 63.1626(g)(1) and
(g)(2), as applicable, or identification of
periods when the capture system
parameters were not maintained and an
explanation of the corrective actions
taken.
(6) Records of the results of quarterly
inspections of the furnace capture
system required under § 63.1626(h).
(7) Electronic records of the
continuous flow monitors or pressure
monitors required under § 63.1626(j)
and (k) and an identification of periods
when the flow rate or pressure was not
maintained as required in § 63.1626(e).
(8) Electronic records of the output of
any CEMS installed to monitor
particulate matter emissions meeting the
requirements of § 63.1626(i)
(9) Records of the occurrence and
duration of each startup and/or
shutdown.
(10) Records of the occurrence and
duration of each malfunction of
operation (i.e., process equipment) or
the air pollution control equipment and
monitoring equipment.
(11) Records that explain the periods
when the procedures outlined in the
process fugitives ventilation plan
required under § 63.1624(a), the
fugitives dust control plan required
under § 63.1624(b), the site-specific
monitoring plan for CMS required under
§ 63.1626(i) and the standard operating
procedures manual for baghouses
required under § 63.1626(a).
(c) You must comply with all of the
reporting requirements specified in
§ 63.10 of the General Provisions that
are referenced in Table 1 to this subpart.
(1) You must submit reports no less
frequently than specified under
§ 63.10(e)(3) of the General Provisions.
(2) Once a source reports a violation
of the standard or excess emissions, you
must follow the reporting format
required under § 63.10(e)(3) until a
request to reduce reporting frequency is
approved by the Administrator.
(d) In addition to the information
required under the applicable sections
of § 63.10, you must include in the
reports required under paragraph (c) of
this section the information specified in
paragraphs (d)(1) through (d)(7) of this
section.
(1) Reports that explain the periods
when the procedures outlined in the
process fugitives ventilation plan
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required under § 63.1624(a), the
fugitives dust control plan required
under § 63.1624(b), the site-specific
monitoring plan for CMS required under
§ 63.1626(i) and the standard operating
procedures manual for baghouses
required under § 63.1626(a).
(2) Reports that identify the periods
when the average hourly pressure drop
or flow rate of venturi scrubbers used to
control particulate emissions dropped
below the levels established in
§ 63.1626(e) and an explanation of the
corrective actions taken.
(3) Bag leak detection system. Reports
including the following information:
(i) Records of all alarms.
(ii) Description of the actions taken
following each bag leak detection
system alarm.
(4) Reports of the shop building
capture system monitoring required
under § 63.1626(g)(1) and (g)(2), as
applicable, identification of periods
when the capture system parameters
were not maintained and an explanation
of the corrective actions taken.
(5) Reports of the results of quarterly
inspections of the furnace capture
system required under § 63.1626(h).
(6) Reports of the CPMS required
under § 63.1626, an identification of
periods when the monitored parameters
were not maintained as required in
§ 63.1626 and corrective actions taken.
(7) If a malfunction occurred during
the reporting period, the report must
include the number, duration and a
brief description for each type of
malfunction that occurred during the
reporting period and caused or may
have caused any applicable emissions
limitation to be exceeded. The report
must also include a description of
actions taken by an owner or operator
during a malfunction of an affected
source to minimize emissions in
accordance with § 63.1623(f), including
actions taken to correct a malfunction.
(e) Within 60 days after the date of
completing each CEMS relative
accuracy test audit or performance test
conducted to demonstrate compliance
with this subpart, you must submit the
relative accuracy test audit data and the
results of the performance test in the
method specified by paragraphs (e)(1)
through (e)(2) of this section. The results
of the performance test must contain the
information listed in paragraph (e)(2) of
this section.
(1)(i) Within 60 days after the date of
completing each performance test (as
defined in § 63.2), you must submit the
results of the performance tests,
including any associated fuel analyses,
required by this subpart according to the
methods specified in paragraphs
(e)(1)(i)(A) or (e)(1)(i)(B) of this section.
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(A) For data collected using test
methods supported by the EPA’s
Electronic Reporting Tool (ERT) as
listed on the EPA’s ERT Web site
(https://www.epa.gov/ttn/chief/ert/
index.html), you must submit the results
of the performance test to the
Compliance and Emissions Data
Reporting Interface (CEDRI) that is
accessed through the EPA’s Central Data
Exchange (CDX) (https://cdx.epa.gov/
epa_home.asp), unless the
Administrator approves another
approach. Performance test data must be
submitted in a file format generated
through the use of the EPA’s ERT.
Owners or operators, who claim that
some of the information being submitted
for performance tests is confidential
business information (CBI), must submit
a complete file generated through the
use of the EPA’s ERT, including
information claimed to be CBI, on a
compact disk, flash drive, or other
commonly used electronic storage
media to the EPA. The electronic media
must be clearly marked as CBI and
mailed to U.S. EPA/OAQPS/CORE CBI
Office, Attention: WebFIRE
Administrator, MD C404–02, 4930 Old
Page Rd., Durham, NC 27703. The same
ERT file with the CBI omitted must be
submitted to the EPA via CDX as
described earlier in this paragraph.
(B) For any performance test
conducted using test methods that are
not supported by the EPA’s ERT as
listed on the EPA’s ERT Web site, the
owner or operator shall submit the
results of the performance test to the
Administrator at the appropriate
address listed in § 63.13.
(ii) Within 60 days after the date of
completing each CEMS performance
evaluation (as defined in § 63.2), you
must submit the results of the
performance evaluation according to the
method specified by either paragraph
(b)(1) or (b)(2) of this section.
(A) For data collection of relative
accuracy test audit (RATA) pollutants
that are supported by the EPA’s ERT as
listed on the EPA’s ERT Web site, you
must submit the results of the
performance evaluation to the CEDRI
that is accessed through the EPA’s CDX,
unless the Administrator approves
another approach. Performance
evaluation data must be submitted in a
file format generated through the use of
the EPA’s ERT. If you claim that some
of the performance evaluation
information being transmitted is CBI,
you must submit a complete file
generated through the use of the EPA’s
ERT, including information claimed to
be CBI, on a compact disk or other
commonly used electronic storage
media (including, but not limited to,
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(c) The authorities that cannot be
delegated to state, local, or tribal
agencies are as specified in paragraphs
(c)(1) through (c)(4) of this section.
(1) Approval of alternatives to
requirements in §§ 63.1620 and 63.1621
and 63.1623 and 63.1624.
(2) Approval of major alternatives to
test methods under § 63.7(e)(2)(ii) and
(f), as defined in § 63.90 and as required
in this subpart.
(3) Approval of major alternatives to
monitoring under § 63.8(f), as defined in
§ 63.90 and as required in this subpart.
(4) Approval of major alternatives to
recordkeeping and reporting under
§ 63.10(f), as defined in § 63.90 and as
required in this subpart.
■ 13. Section 63.1650 is amended by:
■ a. Revising paragraph (d);
■ b. Removing and reserving paragraph
(e)(1); and
■ c. Revising paragraph (e)(2) to read as
follows:
§ 63.1629 Who implements and enforces
this subpart?
tkelley on DSK3SPTVN1PROD with PROPOSALS2
flash drives) by registered letter to the
EPA. The compact disk shall be clearly
marked as CBI and mailed to U.S. EPA/
OAQPS/CORE CBI Office, Attention:
WebFIRE Administrator, MD C404–02,
4930 Old Page Rd., Durham, NC 27703.
The same ERT file with the CBI omitted
must be submitted to the EPA via CDX
as described earlier in this paragraph.
(B) For any performance evaluations
with RATA pollutants that are not
supported by the EPA’s ERT as listed on
the EPA’s ERT Web site, you shall
submit the results of the performance
evaluation to the Administrator at the
appropriate address listed in § 63.13.
(2) The results of a performance test
shall include the purpose of the test; a
brief process description; a complete
unit description, including a description
of feed streams and control devices;
sampling site description; pollutants
measured; description of sampling and
analysis procedures and any
modifications to standard procedures;
quality assurance procedures; record of
operating conditions, including
operating parameters for which limits
are being set, during the test; record of
preparation of standards; record of
calibrations; raw data sheets for field
sampling; raw data sheets for field and
laboratory analyses; chain-of-custody
documentation; explanation of
laboratory data qualifiers; example
calculations of all applicable stack gas
parameters, emission rates, percent
reduction rates and analytical results, as
applicable; and any other information
required by the test method, a relevant
standard, or the Administrator.
■ 12. Section 63.1629 is added to read
as follows:
§ 63.1652
(a) This subpart can be implemented
and enforced by the U.S. EPA, or a
delegated authority such as the
applicable state, local, or tribal agency.
If the U.S. EPA Administrator has
delegated authority to a state, local, or
tribal agency, then that agency, in
addition to the U.S. EPA, has the
authority to implement and enforce this
subpart. Contact the applicable U.S.
EPA Regional Office to find out if this
subpart is delegated to a state, local, or
tribal agency.
(b) In delegating implementation and
enforcement authority of this subpart to
a state, local, or tribal agency under
subpart E of this part, the authorities
contained in paragraph (c) of this
section are retained by the
Administrator of U.S. EPA and cannot
be transferred to the state, local, or tribal
agency.
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§ 63.1650
Dates.
Applicability and Compliance
*
*
*
*
*
(d) Table 1 to this subpart specifies
the provisions of subpart A of this part
that apply to owners and operators of
ferroalloy production facilities subject
to this subpart.
(e) * * *
(1) [Reserved]
(2) Each owner or operator of a new
or reconstructed affected source that
commences construction or
reconstruction after August 4, 1998 and
before October 6, 2014, must comply
with the requirements of this subpart by
May 20, 1999 or upon startup of
operations, whichever is later.
14. Section 63.1652 is amended by
adding paragraph (f) to read as follows:
Emission standards.
*
*
*
*
*
(f) At all times, you must operate and
maintain any affected source, including
associated air pollution control
equipment and monitoring equipment,
in a manner consistent with safety and
good air pollution control practices for
minimizing emissions. Determination of
whether such operation and
maintenance procedures are being used
will be based on information available
to the Administrator that may include,
but is not limited to, monitoring results,
review of operation and maintenance
procedures, review of operation and
maintenance records and inspection of
the source.
■ 15. Section 63.1656 is amended by:
■ a. Adding paragraph (a)(6);
■ b. Revising paragraph (b)(7);
■ c. Revising paragraph (e)(1); and
■ d. Removing and reserving paragraph
(e)(2)(ii) to read as follows:
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§ 63.1656 Performance testing, test
methods and compliance demonstrations.
(a) * * *
(6) You must conduct the
performance tests specified in paragraph
(c) of this section under such conditions
as the Administrator specifies based on
representative performance of the
affected source for the period being
tested. Upon request, you must make
available to the Administrator such
records as may be necessary to
determine the conditions of
performance tests.
(b) * * *
(7) Method 9 of Appendix A–4 of 40
CFR part 60 to determine opacity.
ASTM D7520–09, ‘‘Standard Test
Method for Determining the Opacity of
a Plume in the Outdoor Ambient
Atmosphere’’ may be used (incorporated
by reference, see 40 CFR 63.14) with the
following conditions:
(i) During the digital camera opacity
technique (DCOT) certification
procedure outlined in Section 9.2 of
ASTM D7520–09, the owner or operator
or the DCOT vendor must present the
plumes in front of various backgrounds
of color and contrast representing
conditions anticipated during field use
such as blue sky, trees and mixed
backgrounds (clouds and/or a sparse
tree stand).
(ii) The owner or operator must also
have standard operating procedures in
place including daily or other frequency
quality checks to ensure the equipment
is within manufacturing specifications
as outlined in Section 8.1 of ASTM
D7520–09.
(iii) The owner or operator must
follow the recordkeeping procedures
outlined in § 63.10(b)(1) for the DCOT
certification, compliance report, data
sheets and all raw unaltered JPEGs used
for opacity and certification
determination.
(iv) The owner or operator or the
DCOT vendor must have a minimum of
four (4) independent technology users
apply the software to determine the
visible opacity of the 300 certification
plumes. For each set of 25 plumes, the
user may not exceed 15 percent opacity
of any one reading and the average error
must not exceed 7.5 percent opacity.
(v) Use of this approved alternative
does not provide or imply a certification
or validation of any vendor’s hardware
or software. The onus to maintain and
verify the certification and/or training of
the DCOT camera, software and operator
in accordance with ASTM D7520–09
and these requirements is on the
facility, DCOT operator and DCOT
vendor.
*
*
*
*
*
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(e) * * *
(1) Fugitive dust sources. Failure to
have a fugitive dust control plan or
failure to report deviations from the
plan and take necessary corrective
action would be a violation of the
general duty to ensure that fugitive dust
sources are operated and maintained in
a manner consistent with good air
pollution control practices for
minimizing emissions per § 63.1652(f).
(2) * * *
(ii) [Reserved]
*
*
*
*
*
■ 16. Section 63.1657 is amended by:
■ a. Revising paragraph (a)(6);
■ b. Revising paragraph (b)(3); and
■ c. Revising paragraph (c)(7) to read as
follows:
requirements of paragraph (b) of this
section would be a violation of the
general duty to operate in a manner
consistent with good air pollution
control practices that minimizes
emissions per § 63.1652(f).
(c) * * *
(7) Failure to monitor or failure to
take corrective action under the
requirements of paragraph (c) of this
section would be a violation of the
general duty to operate in a manner
consistent with good air pollution
control practices that minimizes
emissions per § 63.1652(f).
■ 17. Section 63.1659 is amended by
revising paragraph (a)(4) to read as
follows:
§ 63.1657
(a) * * *
(4) Reporting malfunctions. If a
malfunction occurred during the
reporting period, the report must
include the number, duration and a
brief description for each type of
malfunction which occurred during the
reporting period and which caused or
may have caused any applicable
emission limitation to be exceeded. The
report must also include a description of
actions taken by an owner or operator
during a malfunction of an affected
§ 63.1659
Monitoring requirements.
(a) * * *
(6) Failure to monitor or failure to
take corrective action under the
requirements of paragraph (a) of this
section would be a violation of the
general duty to operate in a manner
consistent with good air pollution
control practices that minimizes
emissions per § 63.1652(f).
(b) * * *
(3) Failure to monitor or failure to
take corrective action under the
Reporting Requirements.
source to minimize emissions in
accordance with § 63.1652(f), including
actions taken to correct a malfunction.
*
*
*
*
*
■ 18. Section 63.1660 is amended by:
■ a. Revising paragraphs (a)(2)(i) and
(a)(2)(ii); and
■ b. Removing and reserving paragraphs
(a)(2)(iv) and (a)(2)(v) to read as follows:
§ 63.1660
Recordkeeping Requirements.
(a) * * *
(2) * * *
(i) Records of the occurrence and
duration of each malfunction of
operation (i.e., process equipment) or
the air pollution control equipment and
monitoring equipment;
(ii) Records of actions taken during
periods of malfunction to minimize
emissions in accordance with
§ 63.1652(f), including corrective
actions to restore malfunctioning
process and air pollution control and
monitoring equipment to its normal or
usual manner of operation;
*
*
*
*
*
(iv) [Reserved]
(v) [Reserved]
*
*
*
*
*
■ 19. Add Table 1 to the end of subpart
XXX to read as follows:
TABLE 1 TO SUBPART XXX OF PART 63—GENERAL PROVISIONS APPLICABILITY TO SUBPART XXX
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Reference
Applies to
subpart XXX
63.1 ...........................................................
63.2 ...........................................................
63.3 ...........................................................
63.4 ...........................................................
63.5 ...........................................................
63.6(a), (b), (c) .........................................
63.6(d) ......................................................
63.6(e)(1)(i) ...............................................
63.6(e)(1)(ii) ..............................................
63.6(e)(1)(iii) .............................................
63.6(e)(2) ..................................................
63.6(e)(3) ..................................................
63.6(f)(1) ...................................................
6.6(f)(2)–(f)(3) ...........................................
63.6(g) ......................................................
63.6(h)(1) ..................................................
63.6(h)(2)–(h)(9) .......................................
63.6(i) ........................................................
63.6(j) ........................................................
§ 63.7(a)–(d) .............................................
§ 63.7(e)(1) ...............................................
§ 63.7(e)(2)–(e)(4) .....................................
63.7(f), (g), (h) ..........................................
63.8(a)–(b) ................................................
63.8(c)(1)(i) ...............................................
63.8(c)(1)(ii) ..............................................
63.8(c)(1)(iii) .............................................
63.8(c)(2)–(d)(2) .......................................
63.8(d)(3) ..................................................
Yes
Yes
Yes
Yes
Yes
Yes
No .....................
No .....................
No
Yes
No .....................
No
No
Yes
Yes
No
Yes
Yes
Yes
Yes
No .....................
Yes
Yes
Yes
No .....................
Yes
No
Yes
Yes, except for
last sentence.
Yes
Yes
63.8(e)–(g) ................................................
63.9(a),(b),(c),(e),(g),(h)(1)through
(3),
(h)(5) and (6), (i) and (j).
63.9(f) .......................................................
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Comment
Section reserved.
See 63.1623(g) and 63.1652(f) for general duty requirement.
Section reserved.
See 63.1625(a)(5) and 63.1656(a)(6)
See 63.1623(g) and 63.1652(f) for general duty requirement.
SSM plans are not required.
Yes
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Federal Register / Vol. 79, No. 193 / Monday, October 6, 2014 / Proposed Rules
60291
TABLE 1 TO SUBPART XXX OF PART 63—GENERAL PROVISIONS APPLICABILITY TO SUBPART XXX—Continued
Applies to
subpart XXX
Reference
63.9(h)(4) ..................................................
63.10 (a) ...................................................
63.10 (b)(1) ...............................................
63.10(b)(2)(i) .............................................
63.10(b)(2)(ii) ............................................
No
Yes
Yes
No
No
63.10(b)(2)(iii) ...........................................
63.10(b)(2)(iv)–(b)(2)(v) ............................
63.10(b)(2)(vi)–(b)(2)(xiv) .........................
63.10)(b)(3) ...............................................
63.10(c)(1)–(9) ..........................................
63.10(c)(10)–(11) ......................................
63.10(c)(12)–(c)(14) ..................................
63.10(c)(15) ..............................................
63.10(d)(1)–(4) ..........................................
63.10(d)(5) ................................................
63.10(e)–((f) ..............................................
63.11 .........................................................
63.12 to 63.15 ..........................................
Yes
No
Yes
Yes
Yes
No
Yes
No
Yes
No .....................
Yes
No .....................
Yes
Comment
Reserved
See 63.1628 and 63.1660 for recordkeeping of (1) occurrence and duration and
(2) actions taken during malfunction.
See 63.1628 and 63.1660 for malfunction recordkeeping requirements.
See 63.1628(d)(8) and 63.1659(a)(4) for malfunction reporting requirements.
Flares will not be used to comply with the emission limits
[FR Doc. 2014–23266 Filed 10–3–14; 8:45 am]
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Agencies
[Federal Register Volume 79, Number 193 (Monday, October 6, 2014)]
[Proposed Rules]
[Pages 60237-60291]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2014-23266]
[[Page 60237]]
Vol. 79
Monday,
No. 193
October 6, 2014
Part II
Environmental Protection Agency
-----------------------------------------------------------------------
40 CFR Part 63
National Emission Standards for Hazardous Air Pollutants: Ferroalloys
Production; Proposed Rule
Federal Register / Vol. 79 , No. 193 / Monday, October 6, 2014 /
Proposed Rules
[[Page 60238]]
-----------------------------------------------------------------------
ENVIRONMENTAL PROTECTION AGENCY
40 CFR Part 63
[EPA-HQ-OAR-2010-0895; FRL-9909-26-OAR]
RIN 2060-AQ11
National Emission Standards for Hazardous Air Pollutants:
Ferroalloys Production
AGENCY: Environmental Protection Agency (EPA).
ACTION: Supplemental notice of proposed rulemaking.
-----------------------------------------------------------------------
SUMMARY: This action supplements our proposed amendments to the
national emission standards for hazardous air pollutants (NESHAP) for
the Ferroalloys Production source category published in the Federal
Register on November 23, 2011. In that action, the Environmental
Protection Agency (EPA) proposed amendments based on the initial
technology and residual risk reviews for this source category. Today's
action presents a revised technology review and a revised residual risk
review for the Ferroalloys Production source category and proposes
revisions to the standards based on those reviews. This action also
proposes new compliance requirements to meet the revised standards.
This action would result in significant environmental improvements
through the reduction of fugitive manganese emissions and through more
stringent emission limits for several processes.
DATES: Comments. Comments must be received on or before November 20,
2014. A copy of comments on the information collection provisions
should be submitted to the Office of Management and Budget (OMB) on or
before November 5, 2014.
Public Hearing. If anyone contacts the EPA requesting a public
hearing by October 14, 2014 the EPA will hold a public hearing on
October 21, 2014 from 1:00 p.m. [Eastern Standard Time] to 8:00 p.m.
[Eastern Standard Time] in Marietta, Ohio. If the EPA holds a public
hearing, the EPA will keep the record of the hearing open for 30 days
after completion of the hearing to provide an opportunity for
submission of rebuttal and supplementary information.
ADDRESSES: Comments. Submit your comments, identified by Docket ID No.
EPA-HQ-OAR-2010-0895, by one of the following methods:
Federal eRulemaking Portal:
https://www.regulations.gov. Follow the online instructions for
submitting comments.
Email: A-and-R-Docket@epa.gov. Include ``Attention Docket
ID No. EPA-HQ-OAR-2010-0895'' in the subject line of the message.
Fax: (202) 566-9744. Attention Docket ID Number EPA-HQ-
OAR-2010-0895.
Mail: Environmental Protection Agency, EPA Docket Center
(EPA/DC), Mail Code 28221T, Attention Docket ID No. EPA-HQ-OAR-2010-
0895, 1200 Pennsylvania Avenue NW., Washington, DC 20460. Please
include a total of two copies. In addition, please mail a copy of your
comments on the information collection provisions to the Office of
Information and Regulatory Affairs, Office of Management and Budget
(OMB), Attn: Desk Officer for EPA, 725 17th Street NW., Washington, DC
20503.
Hand/Courier Delivery: EPA Docket Center, Room 3334, EPA
WJC West Building, 1301 Constitution Avenue NW., Washington, DC 20004,
Attention Docket ID No. EPA-HQ-OAR-2010-0895. Such deliveries are only
accepted during the Docket's normal hours of operation, and special
arrangements should be made for deliveries of boxed information.
Instructions. Direct your comments to Docket ID No. EPA-HQ-OAR-
2010-0895. The EPA's policy is that all comments received 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 information claimed
to be confidential business information (CBI) or other information
whose disclosure is restricted by statute. Do not submit information
that you consider to be CBI or otherwise protected through
www.regulations.gov or email. The https://www.regulations.gov Web site
is an ``anonymous access'' system, which means the EPA will not know
your identity or contact information unless you provide it in the body
of your comment. If you send an email comment directly to the EPA
without going through https://www.regulations.gov, your email address
will be automatically captured and included as part of the comment that
is placed in the public docket and made available on the Internet. If
you submit an electronic comment, the EPA recommends that you include
your name and other contact information in the body of your comment and
with any disk or CD-ROM you submit. If the EPA cannot read your comment
due to technical difficulties and cannot contact you for clarification,
the EPA may not be able to consider your comment. Electronic files
should not include special characters or any form of encryption and be
free of any defects or viruses. For additional information about the
EPA's public docket, visit the EPA Docket Center homepage at: https://www.epa.gov/dockets.
Docket. The EPA has established a docket for this rulemaking under
Docket ID Number EPA-HQ-OAR-2010-0895. All documents in the docket are
listed in the regulations.gov index. Although listed in the index, some
information is not publicly available, e.g., CBI or other information
whose disclosure is restricted by statute. Certain other material, such
as copyrighted material, is not placed on the Internet and will be
publicly available only in hard copy. Publicly available docket
materials are available either electronically in regulations.gov or in
hard copy at the EPA Docket Center, EPA WJC West Building, Room 3334,
1301 Constitution Ave., NW., Washington, DC. The Public Reading Room is
open from 8:30 a.m. to 4:30 p.m., Monday through Friday, excluding
legal holidays. The telephone number for the Public Reading Room is
(202) 566-1744, and the telephone number for the EPA Docket Center is
(202) 566-1742.
Public Hearing. If requested, we will hold a public hearing on
October 21, 2014, from 1:00 p.m. [Eastern Standard Time] to 8:00 p.m.
[Eastern Standard Time] in Marietta, Ohio. There will be a dinner break
from 5:00 p.m. [Eastern Standard Time] until 6:00 p.m. [Eastern
Standard Time]. Please contact Ms. Virginia Hunt of the Sector Policies
and Programs Division (E143-01), Office of Air Quality Planning and
Standards, Environmental Protection Agency, Research Triangle Park, NC
27711; telephone number: 919-541-0832; email address:
hunt.virginia@epa.gov; to register to speak at the hearing or to
inquire as to whether or not a hearing will be held. The last day to
pre-register in advance to speak at the hearing will be October 20,
2014. Additionally, requests to speak will be taken the day of the
hearing at the hearing registration desk, although preferences on
speaking times may not be able to be fulfilled. If you require the
service of a translator or special accommodations such as audio
description, please let us know at the time of registration. If you
require an accommodation we ask that you pre-register for the hearing,
as we may not be able to arrange such accommodations without advance
notice. The hearing will provide interested parties the opportunity to
present data, views or arguments concerning the proposed
[[Page 60239]]
action. The EPA will make every effort to accommodate all speakers who
arrive and register.
FOR FURTHER INFORMATION CONTACT: For questions about this proposed
action, contact Mr. Phil Mulrine, Sector Policies and Programs Division
(D243-02), Office of Air Quality Planning and Standards, Environmental
Protection Agency, Research Triangle Park, NC 27711; telephone (919)
541-5289; fax number: (919) 541-3207; and email address:
mulrine.phil@epa.gov. For specific information regarding the risk
modeling methodology, contact Ms. Darcie Smith, Health and
Environmental Impacts Division (C539-02), Office of Air Quality
Planning and Standards, U.S. Environmental Protection Agency, Research
Triangle Park, NC 27711; telephone number: (919) 541-2076; fax number:
(919) 541-2076; and email address: smith.darcie@epa.gov. For
information about the applicability of the National Emissions Standards
for Hazardous Air Pollutants (NESHAP) to a particular entity, contact
Cary Secrest, Office of Enforcement and Compliance Assurance (OECA),
telephone number: (202) 564-8661 and email address:
seacrest.cary@epa.gov.
SUPPLEMENTARY INFORMATION:
Preamble Acronyms and Abbreviations
We use multiple acronyms and terms in this preamble. While this
list may not be exhaustive, to ease the reading of this preamble and
for reference purposes, the EPA defines the following terms and
acronyms here:
AEGL--acute exposure guideline levels
AERMOD--air dispersion model used by the HEM-3 model
ATSDR--Agency for Toxic Substances and Disease Registry
BLDS--bag leak detection system
BTF--Beyond the Floor
CAA--Clean Air Act
CalEPA--California EPA
CBI--Confidential Business Information
CFR--Code of Federal Regulations
EJ--environmental justice
EPA--Environmental Protection Agency
ERPG--Emergency Response Planning Guidelines
ERT--Electronic Reporting Tool
FR--Federal Register
HAP--hazardous air pollutants
HCl--hydrochloric acid
HEM-3--Human Exposure Model, Version 1.1.0
HI--Hazard Index
HQ--Hazard Quotient
ICR--Information Collection Request
IRIS--Integrated Risk Information System
km--kilometer
LOAEL--lowest-observed-adverse-effect level
MACT--maximum achievable control technology
MACT Code--Code within the National Emissions Inventory used to
identify processes included in a source category
mg/dscm--milligrams per dry standard cubic meter
mg/kg-day--milligrams per kilogram-day
mg/m\3\--milligrams per cubic meter
MIR--maximum individual risk
MRL--Minimal Risk Level
NAAQS--National Ambient Air Quality Standards
NAICS--North American Industry Classification System
NAS--National Academy of Sciences
NATA--National Air Toxics Assessment
NESHAP--National Emissions Standards for Hazardous Air Pollutants
NOAEL--no-observed-adverse-effect level
NRC--National Research Council
NTTAA--National Technology Transfer and Advancement Act
OAQPS--Office of Air Quality Planning and Standards
OECA--Office of Enforcement and Compliance Assurance
OMB--Office of Management and Budget
PAH--polycyclic aromatic hydrocarbons
PB-HAP--hazardous air pollutants known to be persistent and bio-
accumulative in the environment
PEL--probable effect level
PM--particulate matter
POM--polycyclic organic matter
ppm--parts per million
RDL--representative method detection level
REL--reference exposure level
RFA--Regulatory Flexibility Act
RfC--reference concentration
RfD--reference dose
RTR--residual risk and technology review
SAB--Science Advisory Board
SBA--Small Business Administration
SSM--startup, shutdown and malfunction
TOSHI--target organ-specific hazard index
TPY--tons per year
TRIM.FaTE--Total Risk Integrated Methodology.Fate, Transport, and
Ecological Exposure model
TTN--Technology Transfer Network
UF--uncertainty factor
[micro]g/dscm--micrograms per dry standard cubic meter
[micro]g/m\3\--micrograms per cubic meter
UMRA--Unfunded Mandates Reform Act
UPL--Upper Prediction Limit
URE--unit risk estimate
VCS--voluntary consensus standards
Organization of this Document. The information in this preamble is
organized as follows:
I. General Information
A. Does this action apply to me?
B. Where can I get a copy of this document and other related
information?
C. What should I consider as I prepare my comments for the EPA?
II. Background Information
A. What is the statutory authority for this action?
B. What is this source category and how does the current NESHAP
regulate its HAP emissions?
C. What is the history of the Ferroalloys Production Risk and
Technology Review?
D. What data collection activities were conducted to support
this action?
III. Analytical Procedures
A. For purposes of this supplemental proposal, how did we
estimate the post-MACT risks posed by the Ferroalloys Production
Source Category?
B. How did we consider the risk results in making decisions for
this supplemental proposal?
C. How did we perform the technology review?
IV. Revised Analytical Results and Proposed Decisions for the
Ferroalloys Production Source Category
A. What actions are we taking pursuant to CAA sections 112(d)(2)
and 112(d)(3)?
B. What are the results of the risk assessment and analyses?
C. What are our proposed decisions regarding risk acceptability,
ample margin of safety and adverse environmental effects based on
our revised analyses?
D. What are the results and proposed decisions based on our
technology review?
E. What other actions are we proposing?
F. What compliance dates are we proposing?
V. Summary of the Revised Cost, Environmental and Economic Impacts
A. What are the affected sources?
B. What are the air quality impacts?
C. What are the cost impacts?
D. What are the economic impacts?
E. What are the benefits?
VI. Request for Comments
VII. Submitting Data Corrections
VIII. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory Planning and Review and
Executive Order 13563: Improving Regulation and Regulatory Review
B. Paperwork Reduction Act
C. Regulatory Flexibility Act
D. Unfunded Mandates Reform Act
E. Executive Order 13132: Federalism
F. Executive Order 13175: Consultation and Coordination With
Indian Tribal Governments
G. Executive Order 13045: Protection of Children From
Environmental Health Risks and Safety Risks
H. Executive Order 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use
I. National Technology Transfer and Advancement Act
J. Executive Order 12898: Federal Actions To Address
Environmental Justice in Minority Populations and Low-Income
Populations
I. General Information
A. Does this action apply to me?
Table 1 of this preamble lists the industrial source category that
is the subject of this supplemental proposal. Table 1 is not intended
to be exhaustive but rather to provide a guide for readers regarding
the entities that this proposed action is likely to affect. The
proposed standards, once finalized, will be
[[Page 60240]]
directly applicable to the affected sources. Federal, state, local and
tribal government agencies are not affected by this proposed action. As
defined in the ``Initial List of Categories of Sources Under Section
112(c)(1) of the Clean Air Act Amendments of 1990'' (see 57 FR 31576,
July 16, 1992), the ``Ferroalloys Production'' source category is any
facility engaged in producing ferroalloys such as ferrosilicon,
ferromanganese and ferrochrome.\1\ The EPA redefined the Ferroalloys
Production source category when it promulgated the 1999 Ferroalloys
Production standard so that it now includes only major sources that
produce products containing manganese (Mn). (64 FR 27450, May 20,
1999.) The 1999 standard applies specifically to two ferroalloy product
types: Ferromanganese and silicomanganese.
---------------------------------------------------------------------------
\1\ U.S. EPA. Documentation for Developing the Initial Source
Category List--Final Report, EPA/OAQPS, EPA-450/3-91-030, July,
1992.
Table 1--NESHAP And Industrial Source Categories Affected by This
Proposed Action
------------------------------------------------------------------------
Source category NESHAP NAICS code \a\
------------------------------------------------------------------------
Ferroalloys Production........... Ferroalloys 331110
Production.
------------------------------------------------------------------------
\a\ 2012 North American Industry Classification System
B. Where can I get a copy of this document and other related
information?
In addition to being available in the docket, an electronic copy of
this action is available on the Internet through the EPA's Technology
Transfer Network (TTN) Web site, a forum for information and technology
exchange in various areas of air pollution control. Following signature
by the EPA Administrator, the EPA will post a copy of this proposed
action at: https://www.epa.gov/ttn/atw/ferropg.html. Following
publication in the Federal Register, the EPA will post the Federal
Register version of the proposal and key technical documents at this
same Web site. Information on the overall residual risk and technology
review program is available at the following Web site: https://www.epa.gov/ttn/atw/rrisk/rtrpg.html.
C. What should I consider as I prepare my comments for the EPA?
Submitting CBI. Do not submit information containing CBI to the EPA
through https://www.regulations.gov or email. Clearly mark the part or
all of the information that you claim to be CBI. For CBI information on
a disk or CD-ROM that you mail to the EPA, mark the outside of the disk
or CD-ROM as CBI and then identify electronically within the disk or
CD-ROM the specific information that is claimed as CBI. In addition to
one complete version of the comments that includes information claimed
as CBI, you must submit a copy of the comments that does not contain
the information claimed as CBI for inclusion in the public docket. If
you submit a CD-ROM or disk that does not contain CBI, mark the outside
of the disk or CD-ROM clearly that it does not contain CBI. Information
not marked as CBI will be included in the public docket and the EPA's
electronic public docket without prior notice. Information marked as
CBI will not be disclosed except in accordance with procedures set
forth in 40 Code of Federal Regulations (CFR) part 2. Send or deliver
information identified as CBI only to the following address: Roberto
Morales, OAQPS Document Control Officer (C404-02), OAQPS, U.S.
Environmental Protection Agency, Research Triangle Park, North Carolina
27711, Attention Docket ID Number EPA-HQ-OAR-2010-0895.
II. Background Information
A. What is the statutory authority for this action?
Section 112 of the Clean Air Act (CAA) establishes a two-stage
regulatory process to address emissions of hazardous air pollutants
(HAP) from stationary sources. In the first stage, after the EPA has
identified categories of sources emitting one or more of the HAP listed
in CAA section 112(b), CAA section 112(d) requires us to promulgate
technology-based NESHAP for those sources. ``Major sources'' are those
that emit or have the potential to emit 10 tons per year (tpy) or more
of a single HAP or 25 tpy or more of any combination of HAP. For major
sources, the technology-based NESHAP must reflect the maximum degree of
emission reductions of HAPs achievable (after considering cost, energy
requirements and non-air quality health and environmental impacts) and
are commonly referred to as maximum achievable control technology
(MACT) standards.
MACT standards must reflect the maximum degree of emissions
reduction achievable through the application of measures, processes,
methods, systems or techniques, including, but not limited to, measures
that (1) reduce the volume of or eliminate pollutants through process
changes, substitution of materials or other modifications; (2) enclose
systems or processes to eliminate emissions; (3) capture or treat
pollutants when released from a process, stack, storage or fugitive
emissions point; (4) are design, equipment, work practice or
operational standards (including requirements for operator training or
certification); or (5) are a combination of the above. CAA section
112(d)(2)(A)-(E). The MACT standards may take the form of design,
equipment, work practice or operational standards where the EPA first
determines either that (1) a pollutant cannot be emitted through a
conveyance designed and constructed to emit or capture the pollutant,
or that any requirement for, or use of, such a conveyance would be
inconsistent with law; or (2) the application of measurement
methodology to a particular class of sources is not practicable due to
technological and economic limitations. CAA section 112(h)(1)-(2).
The MACT ``floor'' is the minimum control level allowed for MACT
standards promulgated under CAA section 112(d)(3) and may not be based
on cost considerations. For new sources, the MACT floor cannot be less
stringent than the emissions control that is achieved in practice by
the best-controlled similar source. The MACT floor for existing sources
can be less stringent than floors for new sources, but not less
stringent than the average emissions limitation achieved by the best-
performing 12 percent of existing sources in the category or
subcategory (or the best-performing five sources for categories or
subcategories with fewer than 30 sources). In developing MACT
standards, the EPA must also consider control options that are more
stringent than the floor. We may establish standards more stringent
than the floor based on considerations of the cost of achieving the
emission reductions, any
[[Page 60241]]
non-air quality health and environmental impacts and energy
requirements.
The EPA is then required to review these technology-based standards
and revise them ``as necessary (taking into account developments in
practices, processes, and control technologies)'' no less frequently
than every eight years. CAA section 112(d)(6). In conducting this
review, the EPA is not required to recalculate the MACT floor. Natural
Resources Defense Council (NRDC) v. EPA, 529 F.3d 1077, 1084 (D.C. Cir.
2008). Association of Battery Recyclers, Inc. v. EPA, 716 F.3d 667
(D.C. Cir. 2013).
The second stage in standard-setting focuses on reducing any
remaining (i.e., ``residual'') risk according to CAA section 112(f).
Section 112(f)(1) required that the EPA prepare a report to Congress
discussing (among other things) methods of calculating the risks posed
(or potentially posed) by sources after implementation of the MACT
standards, the public health significance of those risks and the EPA's
recommendations as to legislation regarding such remaining risk. The
EPA prepared and submitted the Residual Risk Report to Congress, EPA-
453/R-99-001 (Risk Report) in March 1999. CAA section 112(f)(2) then
provides that if Congress does not act on any recommendation in the
Risk Report, the EPA must analyze and address residual risk for each
category or subcategory of sources 8 years after promulgation of such
standards pursuant to CAA section 112(d).
Section 112(f)(2) of the CAA requires the EPA to determine for
source categories subject to MACT standards whether the emission
standards provide an ample margin of safety to protect public health.
Section 112(f)(2)(B) of the CAA expressly preserves the EPA's use of
the two-step process for developing standards to address any residual
risk and the agency's interpretation of ``ample margin of safety''
developed in the National Emissions Standards for Hazardous Air
Pollutants: Benzene Emissions From Maleic Anhydride Plants,
Ethylbenzene/Styrene Plants, Benzene Storage Vessels, Benzene Equipment
Leaks, and Coke By-Product Recovery Plants (Benzene NESHAP) (54 FR
38044, September 14, 1989). The EPA notified Congress in the Risk
Report that the agency intended to use the Benzene NESHAP approach in
making CAA section 112(f) residual risk determinations (EPA-453/R-99-
001, p. ES-11). The EPA subsequently adopted this approach in its
residual risk determinations and in a challenge to the risk review for
the Synthetic Organic Chemical Manufacturing source category, the
United States Court of Appeals for the District of Columbia Circuit
upheld as reasonable the EPA's interpretation that subsection 112(f)(2)
incorporates the approach established in the Benzene NESHAP. See NRDC
v. EPA, 529 F.3d 1077, 1083 (D.C. Cir. 2008) (``[S]ubsection
112(f)(2)(B) expressly incorporates the EPA's interpretation of the
Clean Air Act from the Benzene standard, complete with a citation to
the Federal Register.''); see also A Legislative History of the Clean
Air Act Amendments of 1990, vol. 1, p. 877 (Senate debate on Conference
Report).
The first step in the process of evaluating residual risk is the
determination of acceptable risk. If risks are unacceptable, the EPA
cannot consider cost in identifying the emissions standards necessary
to bring risks to an acceptable level. The second step is the
determination of whether standards must be further revised in order to
provide an ample margin of safety to protect public health. The ample
margin of safety is the level at which the standards must be set,
unless an even more stringent standard is necessary to prevent, taking
into consideration costs, energy, safety and other relevant factors, an
adverse environmental effect.
1. Step 1--Determination of Acceptability
The agency in the Benzene NESHAP concluded that ``the acceptability
of risk under section 112 is best judged on the basis of a broad set of
health risk measures and information'' and that the ``judgment on
acceptability cannot be reduced to any single factor.'' Benzene NESHAP
at 38046. The determination of what represents an ``acceptable'' risk
is based on a judgment of ``what risks are acceptable in the world in
which we live'' (Risk Report at 178, quoting NRDC v. EPA, 824 F. 2d
1146, 1165 (D.C. Cir. 1987) (en banc) (``Vinyl Chloride''), recognizing
that our world is not risk-free.
In the Benzene NESHAP, we stated that ``EPA will generally presume
that if the risk to [the maximum exposed] individual is no higher than
approximately one in 10 thousand, that risk level is considered
acceptable.'' 54 FR at 38045, September 14, 1989. We discussed the
maximum individual lifetime cancer risk (or maximum individual risk
(MIR)) as being ``the estimated risk that a person living near a plant
would have if he or she were exposed to the maximum pollutant
concentrations for 70 years.'' Id. We explained that this measure of
risk ``is an estimate of the upper bound of risk based on conservative
assumptions, such as continuous exposure for 24 hours per day for 70
years.'' Id. We acknowledged that maximum individual lifetime cancer
risk ``does not necessarily reflect the true risk, but displays a
conservative risk level which is an upper-bound that is unlikely to be
exceeded.'' Id.
Understanding that there are both benefits and limitations to using
the MIR as a metric for determining acceptability, we acknowledged in
the Benzene NESHAP that ``consideration of maximum individual risk * *
* must take into account the strengths and weaknesses of this measure
of risk.'' Id. Consequently, the presumptive risk level of 100-in-1
million (1-in-10 thousand) provides a benchmark for judging the
acceptability of maximum individual lifetime cancer risk, but does not
constitute a rigid line for making that determination. Further, in the
Benzene NESHAP, we noted that:
[p]articular attention will also be accorded to the weight of
evidence presented in the risk assessment of potential
carcinogenicity or other health effects of a pollutant. While the
same numerical risk may be estimated for an exposure to a pollutant
judged to be a known human carcinogen, and to a pollutant considered
a possible human carcinogen based on limited animal test data, the
same weight cannot be accorded to both estimates. In considering the
potential public health effects of the two pollutants, the Agency's
judgment on acceptability, including the MIR, will be influenced by
the greater weight of evidence for the known human carcinogen.
Id. at 38046. The agency also explained in the Benzene NESHAP that:
[i]n establishing a presumption for MIR, rather than a rigid line
for acceptability, the Agency intends to weigh it with a series of
other health measures and factors. These include the overall
incidence of cancer or other serious health effects within the
exposed population, the numbers of persons exposed within each
individual lifetime risk range and associated incidence within,
typically, a 50 km exposure radius around facilities, the science
policy assumptions and estimation uncertainties associated with the
risk measures, weight of the scientific evidence for human health
effects, other quantified or unquantified health effects, effects
due to co-location of facilities, and co-emission of pollutants.
Id. at 38045. In some cases, these health measures and factors taken
together may provide a more realistic description of the magnitude of
risk in the exposed population than that provided by maximum individual
lifetime cancer risk alone.
As noted earlier, in NRDC v. EPA, the court held that section
112(f)(2)
[[Page 60242]]
``incorporates the EPA's interpretation of the Clean Air Act from the
Benzene Standard.'' The court further held that Congress' incorporation
of the Benzene standard applies equally to carcinogens and non-
carcinogens. 529 F.3d at 1081-82. Accordingly, we also consider non-
cancer risk metrics in our determination of risk acceptability and
ample margin of safety.
2. Step 2--Determination of Ample Margin of Safety
CAA section 112(f)(2) requires the EPA to determine, for source
categories subject to MACT standards, whether those standards provide
an ample margin of safety to protect public health. As explained in the
Benzene NESHAP, ``the second step of the inquiry, determining an `ample
margin of safety,' again includes consideration of all of the health
factors, and whether to reduce the risks even further. . . . Beyond
that information, additional factors relating to the appropriate level
of control will also be considered, including costs and economic
impacts of controls, technological feasibility, uncertainties and any
other relevant factors. Considering all of these factors, the agency
will establish the standard at a level that provides an ample margin of
safety to protect the public health, as required by section 112.'' 54
FR at 38046, September 14, 1989.
According to CAA section 112(f)(2)(A), if the MACT standards for
HAP ``classified as a known, probable, or possible human carcinogen do
not reduce lifetime excess cancer risks to the individual most exposed
to emissions from a source in the category or subcategory to less than
one in one million,'' the EPA must promulgate residual risk standards
for the source category (or subcategory), as necessary to provide an
ample margin of safety to protect public health. In doing so, the EPA
may adopt standards equal to existing MACT standards if the EPA
determines that the existing standards (i.e., the MACT standards) are
sufficiently protective. NRDC v. EPA, 529 F.3d 1077, 1083 (D.C. Cir.
2008) (``If EPA determines that the existing technology-based standards
provide an `ample margin of safety,' then the Agency is free to readopt
those standards during the residual risk rulemaking.'') The EPA must
also adopt more stringent standards, if necessary, to prevent an
adverse environmental effect,\2\ but must consider cost, energy, safety
and other relevant factors in doing so.
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\2\ ``Adverse environmental effect'' is defined as any
significant and widespread adverse effect, which may be reasonably
anticipated to wildlife, aquatic life or natural resources,
including adverse impacts on populations of endangered or threatened
species or significant degradation of environmental qualities over
broad areas. CAA section 112(a)(7).
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The CAA does not specifically define the terms ``individual most
exposed,'' ``acceptable level'' and ``ample margin of safety.'' In the
Benzene NESHAP, 54 FR at 38044-38045, September 14, 1989, we stated as
an overall objective:
In protecting public health with an ample margin of safety under
section 112, EPA strives to provide maximum feasible protection
against risks to health from hazardous air pollutants by (1)
protecting the greatest number of persons possible to an individual
lifetime risk level no higher than approximately 1-in-1 million and
(2) limiting to no higher than approximately 1-in-10 thousand [i.e.,
100-in-1 million] the estimated risk that a person living near a
plant would have if he or she were exposed to the maximum pollutant
concentrations for 70 years.
The agency further stated that ``[t]he EPA also considers incidence
(the number of persons estimated to suffer cancer or other serious
health effects as a result of exposure to a pollutant) to be an
important measure of the health risk to the exposed population.
Incidence measures the extent of health risks to the exposed population
as a whole, by providing an estimate of the occurrence of cancer or
other serious health effects in the exposed population.'' Id. at 38045.
In the ample margin of safety decision process, the agency again
considers all of the health risks and other health information
considered in the first step, including the incremental risk reduction
associated with standards more stringent than the MACT standard or a
more stringent standard that EPA has determined is necessary to ensure
risk is acceptable. In the ample margin of safety analysis, the agency
considers additional factors, including costs and economic impacts of
controls, technological feasibility, uncertainties and any other
relevant factors. Considering all of these factors, the agency will
establish the standard at a level that provides an ample margin of
safety to protect the public health, as required by CAA section 112(f).
54 FR 38046, September 14, 1989.
B. What is this source category and how does the current NESHAP
regulate its HAP emissions?
Ferroalloys are alloys of iron in which one or more chemical
elements (such as chromium, manganese and silicon) are added into
molten metal. Ferroalloys are consumed primarily in iron and steel
making and are used to produce steel and cast iron products with
enhanced or special properties. The ferroalloys products that are the
focus of the NESHAP are ferromanganese (FeMn) and silicomanganese
(SiMn), which are produced by two facilities in the United States. One
facility (Eramet) is located in Marietta, Ohio and produces both FeMn
and SiMn. The other plant (Felman) is located in Letart, West Virginia
and produces only SiMn.
Ferroalloys within the scope of this source category are produced
using submerged electric arc furnaces, which are furnaces in which the
electrodes are submerged into the charge. The submerged arc process is
a reduction smelting operation. The reactants consist of metallic ores
(ferrous oxides, silicon oxides, manganese oxides, etc.) and a carbon-
source reducing agent, usually in the form of coke, charcoal, high- and
low-volatility coal, or wood chips. Raw materials are crushed and sized
and then conveyed to a mix house for weighing and blending. Conveyors,
buckets, skip hoists or cars transport the processed material to
hoppers above the furnace. The mix is gravity-fed through a feed chute
either continuously or intermittently, as needed. At high temperatures
in the reaction zone, the carbon source reacts with metal oxides to
form carbon monoxide and to reduce the ores to base metal.\3\ The
molten material (product and slag) is tapped from the furnace,
sometimes subject to post-furnace refining and poured into casting beds
on the furnace room floor. Once the material hardens, it is transported
to product crushing and sizing systems and packaged for transport to
the customer.
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\3\ EPA. AP-42, 12.4. Ferroalloy Production. 10/86.
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The NESHAP for Ferroalloys Production: Ferromanganese and
Silicomanganese were promulgated on May 20, 1999 (64 FR 27450) and
codified at 40 CFR part 63, subpart XXX.\4\ The 1999 NESHAP applies to
all new and existing ferroalloys production facilities that manufacture
ferromanganese or silicomanganese and are major sources or are co-
located at major sources of HAP emissions.
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\4\ The emission limits were revised on March 22, 2001 (66 FR
16024) in response to a petition for reconsideration submitted to
the EPA following promulgation of the final rule and a petition for
review filed in the U.S. Court of Appeals for the District of
Columbia Circuit.
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The existing Ferroalloys Production NESHAP rule applies to process
emissions from the submerged arc furnaces, the metal oxygen refining
process and the product crushing equipment; process fugitive emissions
from the furnace; and outdoor fugitive dust emissions sources such as
[[Page 60243]]
roadways, yard areas and outdoor material storage and transfer
operations. For the electric (submerged) arc furnace process, the
NESHAP specifies numerical emissions limits for particulate matter (as
a surrogate for non-mercury (or particulate) metal HAP). The NESHAP
also includes emissions limits for particulate matter (again as a
surrogate for particulate metal HAP) for process emissions from the
metal oxygen refining process and product crushing and screening
equipment. Table 2 is a summary of the applicable limits in the
existing Subpart XXX.
Table 2--Emission Limits in Subpart XXX
----------------------------------------------------------------------------------------------------------------
New or reconstructed or existing Applicable PM emission
source Affected source standards Subpart XXX reference
----------------------------------------------------------------------------------------------------------------
New or reconstructed................. Submerged arc furnace.. 0.23 kilograms per hour 40 CFR 63.1652(a)(1)
per megawatt (kg/hr/ and (a)(2)
MW) (0.51 pounds per
hour per megawatt (lb/
hr/MW) or 35
milligrams per dry
standard cubic meter
(mg/dscm) (0.015
grains per dry
standard cubic foot
(gr/dscf).
Existing............................. Open submerged arc 9.8 kg/hr (21.7 lb/hr). 40 CFR 63.1652(b)(1)
furnace producing
ferromanganese and
operating at a furnace
power input of 22
megawatts (MW) or less.
Existing............................. Open submerged arc 13.5 kg/hr (29.8 lb/hr) 40 CFR 63.1652(b)(2)
furnace producing
ferromanganese and
operating at a furnace
power input greater
than 22 MW.
Existing............................. Open submerged arc 16.3 kg/hr (35.9 lb/hr) 40 CFR 63.1652(b)(3)
furnace producing
silicomanganese and
operating at a furnace
power input greater
than 25 MW.
Existing............................. Open submerged arc 12.3 kg/hr (27.2 lb/hr) 40 CFR 63.1652(b)(4)
furnace producing
silicomanganese and
operating at a furnace
power input of 25 MW
or less.
Existing............................. Semi-sealed submerged 11.2 kg/hr (24.7 lb/hr) 40 CFR 63.1652(c)
arc furnace (primary,
tapping and vent
stacks) producing
ferromanganese.
New, reconstructed, or existing...... Metal oxygen refining 69 mg/dscm (0.03 gr/ 40 CFR 63.1652(d)
process. dscf).
New or reconstructed................. Individual equipment 50 mg/dscm (0.022 gr/ 40 CFR 63.1652(e)(1)
associated with the dscf).
product crushing and
screening operation.
Existing............................. Individual equipment 69 mg/dscm (0.03 gr/ 40 CFR 63.1652(e)(2)
associated with the dscf).
product crushing and
screening operation.
----------------------------------------------------------------------------------------------------------------
The 1999 NESHAP established a building opacity limit of 20 percent
that is measured during the required furnace control device performance
test. The rule provides an excursion limit of 60 percent opacity for
one 6-minute period during the performance test. The opacity
observation is focused only on emissions exiting the shop due solely to
operations of any affected submerged arc furnace. In addition, blowing
taps, poling and oxygen lancing of the tap hole, burndowns associated
with electrode measurements and maintenance activities associated with
submerged arc furnaces and casting operations are exempt from the
opacity standards specified in Sec. 63.1653.
For outdoor fugitive dust sources, as defined in Sec. 63.1652, the
1999 NESHAP requires that plants prepare and operate according to an
outdoor fugitive dust control plan that describes in detail the
measures that will be put in place to control outdoor fugitive dust
emissions from the individual outdoor fugitive dust sources at the
facility. The owner or operator must submit a copy of the outdoor
fugitive dust control plan to the designated permitting authority on or
before the applicable compliance date.
C. What is the history of the Ferroalloys Production Risk and
Technology Review?
Pursuant to section 112(f)(2) of the CAA, we first evaluated the
residual risk associated with the Ferroalloys Production NESHAP in
2011. We also conducted a technology review, as required by section
112(d)(6) of the CAA. Finally, we also reviewed the 1999 MACT rule to
determine if other amendments were appropriate. Based on the results of
that previous residual risk and technology review (RTR) and the MACT
rule review, we proposed amendments to subpart XXX on November 23, 2011
(76 FR 72508) (referred to from here on as the 2011 proposal in the
remainder of this FR notice). The proposed amendments in the 2011
proposal which we are revisiting in today's supplemental proposal
include the following:
Revisions to particulate matter (PM) standards for
electric arc furnaces and local ventilation control devices;
emission limits for mercury, polycyclic aromatic
hydrocarbons (PAHs), and hydrochloric acid (HCl);
proposed requirements to control process fugitive
emissions based on full-building enclosure with negative pressure, or
fenceline monitoring as an alternative;
a provision for emissions averaging;
amendments to the monitoring, notification, recordkeeping
and testing requirements; and
proposed provisions establishing an affirmative defense to
civil penalties for violations caused by malfunctions.
The comment period for the 2011 proposal opened on November 23,
2011, and ended on January 31, 2012. We received significant comments
from industry representatives, environmental organizations local
community groups. We also met with stakeholders (from industry,
community groups and environmental organizations) after proposal to
further discuss their comments, concerns and related issues. After
reviewing the comments and after consideration of additional data and
information received since the 2011 proposal, we determined it is
[[Page 60244]]
appropriate to revise some of our analyses and publish a supplemental
proposal. Therefore, in today's Notice of Supplemental Proposed
Rulemaking we present revised analyses, and based on those analyses we
are proposing revised amendments for the items listed above to allow
the public an opportunity to review and comment on these revised
analyses and revised proposed amendments. In addition, we have
reevaluated the proposed affirmative defense provisions in light of a
recent court decision vacating an affirmative defense in one of the
EPA's Section 112(d) regulations. NRDC v. EPA, 749 F.3d 1055 (D.C.
Cir., 2014) (vacating affirmative defense provisions in Section 112(d)
rule establishing emission standards for Portland cement kilns). In
this supplemental proposal, we are withdrawing our 2011 proposal to
include an affirmative defense provision in this regulation.
However, we also proposed other requirements in the 2011 proposal
(listed below) for which we have made no revisions to the analyses, we
are not proposing any changes and are not reopening for public comment.
The other requirements that we proposed in the 2011 proposal, for which
we are not re-opening for comment, are the following:
PM standards for metal oxygen refining processes and
crushing and screening operations;
emissions limits for formaldehyde;
elimination of SSM exemptions; and
electronic reporting.
We will address the comments we received on these other proposed
requirements during the public comment period for the 2011 proposal at
the time we take final action.
In the 2011 proposal, we also included information about several
ATSDR health consultations and a study (Kim et al.) that had been
conducted in the Marietta area. We note that the Kim et al. study was
included in the 2012 ATSDR review of manganese. Since the 2011
proposal, additional studies on the potential toxicity of manganese
have been published. These studies add to the literature regarding
potential health effects from exposure to manganese and will be
included, along with the complete body of scientific evidence, in
future reviews of manganese toxicity.
D. What data collection activities were conducted to support this
action?
Commenters on the 2011 proposal expressed concern that the data set
used in the risk assessment did not adequately reflect current
operations at the plants. In response to these comments, we worked with
the facilities to address these concerns and we obtained a significant
amount of new data in order to establish a more robust dataset than the
dataset we had for the 2011 proposal. Specifically, the plants provided
data collected during their 2011 and 2012 compliance tests and, in
response to an Information Collection Request (ICR) from the EPA in
December 2012, they conducted more tests in the spring of 2013. This
combined testing effort provided the following data:
Additional stack test data for arsenic, cadmium, chromium,
lead, manganese, mercury, nickel, HCl, formaldehyde, PAH,
polychlorinated biphenyls (PCB) and dioxins/furans;
Test data collected using updated, state-of-the-art test
methods and procedures;
Hazardous air pollutant (HAP) test data for all
operational furnaces;
Test data obtained during different seasonal conditions
(i.e., spring and fall);
Test data for both products (ferromanganese and
silicomanganese) for both furnaces at Eramet (Felman only produces
silicomanganese).
With the new data, we no longer have to extrapolate HAP emissions
from a ratio of PM to HAP emissions from just one or two tested
furnaces. We are also using test data collected using state-of-the-art
test methods that provide better QA/QC of the test results. For
mercury, test data were collected for the supplemental proposal using
EPA Method 30B, which requires paired samples collected for each test
run, in addition to a spiked sample during the 3-run test. Test data
for PAH were collected using CARB 429, which provides greater
sensitivity, precision and identification of individual PAH compounds
as compared to Method 0010 which was used for previous tests. We also
received PCB and dioxin/furan test data that were collected using CARB
428, which uses high resolution instruments and provides a specific
procedure for measuring PCBs in addition to dioxin/furans.
The data described above, which we received prior to summer 2014,
were incorporated into our risk assessment, technology review and other
MACT analyses presented in this Notice. However, we recently received
additional test reports and data for PAH, mercury and PM emissions from
one of the furnaces at Eramet (Furnace 12). We also received
additional data on PM emissions for Furnaces 1 and 12
at Eramet and for the tapping baghouse at Eramet. We have not yet
completed our technical review of these new data and we were not able
to incorporate these new data (on PAHs, PM, or Hg) into our RTR or MACT
analyses in time for the publication of today's Notice.\5\ \6\ These
test reports (which we received on August 19, 2014) are available in
the docket for today's action. We have not yet determined the technical
viability of these data or how these data would affect the RTR and MACT
analyses. Nevertheless, we seek comment on these new data and how these
data would impact our analyses and results presented in today's Notice.
Based on comments and information that we receive in response to this
supplemental proposal, and after we complete our review of these data,
we will consider these data as appropriate as we develop the final
rule.
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\5\ Emission Measurement Summary Report. Furnace No. 12
Scrubber. PAHs and Mercury. Eramet Marietta, Inc. Marietta, OH.
Prepared for: Eramet Marietta, Inc. Marietta, Ohio. Prepared by
Environmental Quality Management, Inc. 1800 Carillon Boulevard,
Cincinnati, Ohio 45240. January 2013.
\6\ Emission Measurement Summary Report. Filterable Particulate
Matter Furnaces 1 and 12. Eramet Marietta, Inc. Marietta, OH.
Prepared for: Eramet Marietta, Inc. Marietta, Ohio 45750-0299
Prepared by: Environmental Quality Management, Inc., Cincinnati,
Ohio 45240. April 2014.
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Commenters also expressed concern that the estimated cost and
operational impacts of the 2011 proposed process fugitive standards
based on use of a total building enclosure requirement were
significantly underestimated. In their comments both companies
submitted substantial additional information and estimates regarding
the elements, costs and impacts involved with constructing and
operating a full building enclosure for their facilities. We also
received comments saying that full-enclosure with negative pressure can
lead to worker safety and health issues related to indoor air quality
if the systems are not designed and operated appropriately to provide
sufficient air exchanges and air conditioning in the work space.
Furthermore, in their comments and in subsequent meetings and other
communications, the companies also provided design and cost information
for an alternative approach to substantially reduce fugitive emissions
based on enhanced local capture and control of these emissions at each
plant. In the summer of 2012 and fall of 2013, both plants submitted
updated enhanced capture plans and cost estimates to implement those
plans. We also consulted with outside ventilation experts and control
equipment vendors to re-evaluate the costs of process fugitive capture
as well as costs of other control measures such as activated carbon
injection. We also gathered a
[[Page 60245]]
substantial amount of opacity data from both facilities and collected
additional information regarding the processes, control technologies
and modeling input parameters (such as stack release heights and
fugitive emissions release characteristics). We reviewed and evaluated
these data and information provided by the facilities, the ventilation
experts and vendors, and revised our analyses accordingly.
III. Analytical Procedures
A. For purposes of this supplemental proposal, how did we estimate the
post-MACT risks posed by the Ferroalloys Production Source Category?
The EPA conducted a risk assessment that provides estimates of the
MIR posed by the HAP emissions from each source in the source category,
the hazard index (HI) for chronic exposures to HAP with the potential
to cause noncancer health effects and the hazard quotient (HQ) for
acute exposures to HAP with the potential to cause noncancer health
effects. The assessment also provides estimates of the distribution of
cancer risks within the exposed populations, cancer incidence and an
evaluation of the potential for adverse environmental effects. The risk
assessment consisted of eight primary steps, as discussed in detail in
the 2011 proposal. The docket for this rulemaking contains the
following document which provides more information on the risk
assessment inputs and models: Residual Risk Assessment for the
Ferroalloys Production Source Category in Support of the September 2014
Supplemental Proposal (risk assessment document). The methods used to
assess risks (as described in the eight primary steps below) are
consistent with those peer-reviewed by a panel of the EPA's Science
Advisory Board (SAB) in 2009 and described in their peer review report
issued in 2010; \7\ they are also consistent with the key
recommendations contained in that report.
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\7\ U.S. EPA SAB. Risk and Technology Review (RTR) Risk
Assessment Methodologies: For Review by the EPA's Science Advisory
Board with Case Studies--MACT I Petroleum Refining Sources and
Portland Cement Manufacturing, May 2010.
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1. How did we estimate actual emissions and identify the emissions
release characteristics?
As explained previously, the revised data set for the ferroalloys
production source category, derived from the two existing
ferromanganese and silicomanganese production facilities, constitutes
the basis for the revised risk assessment. We estimated the magnitude
of emissions using emissions test data collected through ICRs along
with additional data submitted voluntarily by the companies. We also
collected information regarding emissions release characteristics such
as stack heights, stack gas exit velocities, stack temperatures and
source locations. In addition to the quality assurance (QA) of the
source data for the facilities contained in the data set, we also
checked the coordinates of every emission source in the data set
through visual observations using tools such as GoogleEarth and
ArcView. Where coordinates were found to be incorrect, we identified
and corrected them to the extent possible. We also performed a QA
assessment of the emissions data and release characteristics to ensure
the data were reliable and that there were no outliers. The emissions
data and the methods used to estimate emissions from all the various
emissions sources are described in more detail in the technical
document: Revised Development of the RTR Emissions Dataset for the
Ferroalloys Production Source Category for the 2014 Supplemental
Proposal, which is available in the docket for this action.
2. How did we estimate MACT-allowable emissions?
The available emissions data in the RTR emissions dataset include
estimates of the mass of HAP emitted during the specified annual time
period. In some cases, these ``actual'' emission levels are lower than
the emission levels required to comply with the MACT standards. The
emissions level allowed to be emitted by the MACT standards is referred
to as the ``MACT-allowable'' emissions level. We discussed the use of
both MACT-allowable and actual emissions in the final Coke Oven
Batteries residual risk rule (70 FR 19998-19999, April 15, 2005) and in
the proposed and final Hazardous Organic NESHAP residual risk rules (71
FR 34428, June 14, 2006, and 71 FR 76609, December 21, 2006,
respectively). In those previous actions, we noted that assessing the
risks at the MACT-allowable level is inherently reasonable since these
risks reflect the maximum level facilities could emit and still comply
with national emission standards. We also explained that it is
reasonable to consider actual emissions, where such data are available,
in both steps of the risk analysis, in accordance with the Benzene
NESHAP approach. (54 FR 38044, September 14, 1989.)
For this supplemental proposal, we evaluated allowable stack
emissions based on the level of control required by the 1999 MACT
standards. We also evaluated the level of reported actual emissions and
available information on the level of control achieved by the emissions
controls in use. Further explanation is provided in the technical
document: Revised Development of the RTR Emissions Dataset for the
Ferroalloys Production Source Category for the 2014 Supplemental
Proposal, which is available in the docket.
3. How did we conduct dispersion modeling, determine inhalation
exposures and estimate individual and population inhalation risks?
Both long-term and short-term inhalation exposure concentrations
and health risks from the source category addressed in this proposal
were estimated using the Human Exposure Model (Community and Sector
HEM-3 version 1.1.0). The HEM-3 performs three primary risk assessment
activities: (1) Conducting dispersion modeling to estimate the
concentrations of HAP in ambient air, (2) estimating long-term and
short-term inhalation exposures to individuals residing within 50
kilometers (km) of the modeled sources \8\, and (3) estimating
individual and population-level inhalation risks using the exposure
estimates and quantitative dose-response information.
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\8\ This metric comes from the Benzene NESHAP. See 54 FR 38046.
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The air dispersion model used by the HEM-3 model (AERMOD) is one of
the EPA's preferred models for assessing pollutant concentrations from
industrial facilities.\9\ To perform the dispersion modeling and to
develop the preliminary risk estimates, HEM-3 draws on three data
libraries. The first is a library of meteorological data, which is used
for dispersion calculations. This library includes 1 year (2011) of
hourly surface and upper air observations for more than 800
meteorological stations, selected to provide coverage of the United
States and Puerto Rico. A second library of United States Census Bureau
census block \10\ internal point locations and populations provides the
basis of human exposure calculations (U.S. Census, 2010). In addition,
for each census block, the census library includes the elevation and
controlling hill height, which are also used in dispersion
calculations. A third library of pollutant unit risk factors and other
[[Page 60246]]
health benchmarks is used to estimate health risks. These risk factors
and health benchmarks are the latest values recommended by the EPA for
HAP and other toxic air pollutants. These values are available at:
https://www.epa.gov/ttn/atw/toxsource/summary.html and are discussed in
more detail later in this section.
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\9\ U.S. EPA. Revision to the Guideline on Air Quality Models:
Adoption of a Preferred General Purpose (Flat and Complex Terrain)
Dispersion Model and Other Revisions (70 FR 68218, November 9,
2005).
\10\ A census block is the smallest geographic area for which
census statistics are tabulated.
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In developing the risk assessment for chronic exposures, we used
the estimated annual average ambient air concentrations of each HAP
emitted by each source for which we have emissions data in the source
category. The air concentrations at each nearby census block centroid
were used as a surrogate for the chronic inhalation exposure
concentration for all the people who reside in that census block. We
calculated the MIR for each facility as the cancer risk associated with
a continuous lifetime (24 hours per day, 7 days per week, and 52 weeks
per year for a 70-year period) exposure to the maximum concentration at
the centroid of inhabited census blocks. Individual cancer risks were
calculated by multiplying the estimated lifetime exposure to the
ambient concentration of each of the HAP (in micrograms per cubic meter
([mu]g/m\3\)) by its unit risk estimate (URE). The URE is an upper
bound estimate of an individual's probability of contracting cancer
over a lifetime of exposure to a concentration of 1 microgram of the
pollutant per cubic meter of air. For residual risk assessments, we
generally use URE values from the EPA's Integrated Risk Information
System (IRIS). For carcinogenic pollutants without EPA IRIS values, we
look to other reputable sources of cancer dose-response values, often
using California EPA (CalEPA) URE values, where available. In cases
where new, scientifically credible dose response values have been
developed in a manner consistent with the EPA guidelines and have
undergone a peer review process similar to that used by the EPA, we may
use such dose-response values in place of, or in addition to, other
values, if appropriate.
In the case of nickel compounds, to provide a conservative estimate
of potential cancer risks, we used the IRIS URE value for nickel
subsulfide (which is considered the most potent carcinogen among all
nickel compounds) in the assessment for the 2011 proposed rule for
ferroalloys production. In the 2011 proposed rule, the determination of
the percent of nickel subsulfide was considered a major factor for
estimating the risks of cancer due to nickel-containing emissions.
Nickel speciation information for some of the largest nickel-emitting
sources (including oil combustion, coal combustion and others)
suggested that at least 35 percent of total nickel emissions may be
soluble compounds and that the cancer risk for the mixture of inhaled
nickel compounds (based on nickel subsulfide and representative of pure
insoluble crystalline nickel) was derived to reflect the assumption
that 65 percent of the total mass of nickel may be carcinogenic.
Based on consistent views of major scientific bodies (i.e.,
National Toxicology Program (NTP) in their 12th Report of the
Carcinogens (ROC) \11\, International Agency for Research on Cancer
(IARC) \12\ and other international agencies) \13\ that consider all
nickel compounds to be carcinogenic, we currently consider all nickel
compounds to have the potential of being carcinogenic to humans. The
12th Report of the Carcinogens states that the ``combined results of
epidemiological studies, mechanistic studies, and carcinogenic studies
in rodents support the concept that nickel compounds generate nickel
ions in target cells at sites critical for carcinogenesis, thus
allowing consideration and evaluation of these compounds as a single
group.'' Although the precise nickel compound (or compounds)
responsible for carcinogenic effects in humans is not always clear,
studies indicate that nickel sulfate and the combinations of nickel
sulfides and oxides encountered in the nickel refining industries cause
cancer in humans (these studies are summarized in a review by Grimsrud
et al., 2010 \14\). The major scientific bodies mentioned above have
also recognized that there are differences in toxicity and/or
carcinogenic potential across the different nickel compounds.
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\11\ National Toxicology Program (NTP), 2011. Report on
carcinogens. 12th ed. Research Triangle Park, NC: US Department of
Health and Human Services (DHHS), Public Health Service. Available
online at https://ntp.niehs.nih.gov/ntp/roc/twelfth/roc12.pdf.
\12\ International Agency for Research on Cancer (IARC), 1990.
IARC monographs on the evaluation of carcinogenic risks to humans.
Chromium, nickel, and welding. Vol. 49. Lyons, France: International
Agency for Research on Cancer, World Health Organization Vol.
49:256.
\13\ World Health Organization (WHO, 1991) and the European
Union's Scientific Committee on Health and Environmental Risks
(SCHER, 2006).
\14\ Grimsrud TK and Andersen A. Evidence of carcinogenicity in
humans of water-soluble nickel salts. J Occup Med Toxicol 2010, 5:1-
7. Available online at https://www.ossup-med.com/content/5/1/7.
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In the inhalation risk assessment for the 2011 proposed rule, to
take a conservative approach, we considered all nickel compounds to
have the same carcinogenic potential as nickel subsulfide and used the
IRIS URE for nickel subsulfide to estimate risks due to all nickel
emissions from the source category. However, given that there are two
additional URE values \15\ derived for exposure to mixtures of nickel
compounds, as a group, that are 2-3 fold lower than the IRIS URE for
nickel subsulfide, the EPA also considers it reasonable to use a value
that is 50 percent of the IRIS URE for nickel subsulfide for providing
an estimate of the lower end of the plausible range of cancer potency
values for different mixtures of nickel compounds. In the public
comments provided in response to the proposal and available in the
docket, one facility provided additional data in the form of a
laboratory test report that indicated it would be unlikely that 100
percent of the nickel from the furnace would be in the form of nickel
subsulfide. Given our current knowledge of the carcinogenic potential
of all nickel compounds, and the potential differences in carcinogenic
potential across nickel compounds, we consider it reasonable to use a
value that is 50 percent of the IRIS URE for nickel subsulfide for
providing an estimate of the cancer potency values for different
mixtures of nickel compounds in the revised data set for the current
supplemental proposal.
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\15\ Two UREs (other than the current IRIS values) have been
derived for nickel compounds as a group: One developed by the
California Department of Health Services (https://www.arb.ca.gov/toxics/id/summary/nickel_tech_b.pdf) and the other by the Texas
Commission on Environmental Quality (https://www.epa.gov/ttn/atw/nata1999/99pdfs/healtheffectsinfo.pdf).
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The EPA estimated incremental individual lifetime cancer risks
associated with emissions from the facilities in the source category as
the sum of the risks for each of the carcinogenic HAP (including those
classified as carcinogenic to humans, likely to be carcinogenic to
humans, and suggestive evidence of carcinogenic potential \16\) emitted
by the modeled sources. Cancer incidence and the distribution of
individual cancer risks for the population within 50 km of the sources
were also estimated for the source category as part of this
[[Page 60247]]
assessment by summing individual risks. A distance of 50 km is
consistent with both the analysis supporting the 1989 Benzene NESHAP
(54 FR 38044, September 14, 1989) and the limitations of Gaussian
dispersion models, including AERMOD.
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\16\ These classifications also coincide with the terms ``known
carcinogen, probable carcinogen, and possible carcinogen,''
respectively, which are the terms advocated in the EPA's previous
Guidelines for Carcinogen Risk Assessment, published in 1986 (51 FR
33992, September 24, 1986). Summing the risks of these individual
compounds to obtain the cumulative cancer risks is an approach that
was recommended by the EPA's Science Advisory Board (SAB) in their
2002 peer review of EPA's National Air Toxics Assessment (NATA)
entitled, NATA--Evaluating the National-scale Air Toxics Assessment
1996 Data--an SAB Advisory, available at: https://yosemite.epa.gov/
sab/sabproduct.nsf/214C6E915BB04E14852570CA007A682C/$File/
ecadv02001.pdf.
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To assess the risk of non-cancer health effects from chronic
exposures, we summed the HQ for each of the HAP that affects a common
target organ system to obtain the HI for that target organ system (or
target organ-specific HI, TOSHI). The HQ is the estimated exposure
divided by the chronic reference value, which is a value selected from
one of several sources. First, the chronic reference level can be the
EPA reference concentration (RfC) (https://www.epa.gov/riskassessment/glossary.htm), defined as ``an estimate (with uncertainty spanning
perhaps an order of magnitude) of a continuous inhalation exposure to
the human population (including sensitive subgroups) that is likely to
be without an appreciable risk of deleterious effects during a
lifetime.'' Alternatively, in cases where an RfC from the EPA's IRIS
database is not available or where the EPA determines that using a
value other than the RfC is appropriate, the chronic reference level
can be a value from the following prioritized sources: (1) The Agency
for Toxic Substances and Disease Registry Minimum Risk Level (MRL)
(https://www.atsdr.cdc.gov/mrls/index.asp), which is defined as ``an
estimate of daily human exposure to a hazardous substance that is
likely to be without an appreciable risk of adverse non-cancer health
effects (other than cancer) over a specified duration of exposure'';
(2) the CalEPA Chronic Reference Exposure Level (REL) (https://www.oehha.ca.gov/air/hot_spots/pdf/HRAguidefinal.pdf), which is defined
as ``the concentration level (that is expressed in units of micrograms
per cubic meter ([mu]g/m\3\) for inhalation exposure and in a dose
expressed in units of milligram per kilogram-day (mg/kg-day) for oral
exposures), at or below which no adverse health effects are anticipated
for a specified exposure duration''; or (3), as noted above, a
scientifically credible dose-response value that has been developed in
a manner consistent with the EPA guidelines and has undergone a peer
review process similar to that used by the EPA, in place of or in
concert with other values.
For the ferroalloys source category, we applied this policy in our
estimate of noncancer inhalation hazards and note the following related
to manganese. There is an existing IRIS RfC for manganese (Mn)
published in 1993.\17\ This value was used in the RTR risk assessment
supporting the Ferroalloys Notice of Proposed Rulemaking.\18\ However,
since the 2011 proposal, ATSDR has published an assessment of Mn
toxicity (2012) which includes a chronic inhalation value (i.e., an
ATSDR Minimal Risk Level or MRL).\19\ Both the 1993 IRIS RfC and the
2012 ATSDR MRL were based on the same study (Roels et al., 1993). In
developing their assessment, ATSDR used updated dose-response modeling
methodology (benchmark dose approach) and considered recent
pharmacokinetic findings to support their MRL derivation. Consistent
with Agency policy, which was supported by SAB,\20\ the EPA has chosen
in this instance to rely on the ATSDR MRL for Mn in the current
ferroalloys supplemental proposal.
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\17\ US EPA Integrated Risk Information System Review of
Manganese (1993) available at https://www.epa.gov/iris/subst/0373.htm.
\18\ 2011 Notice of proposed Rulemaking reference (76 FR 72508).
\19\ Agency for Toxic Substances & Disease Registry
Toxicological Profile for Manganese (2012) available at https://www.atsdr.cdc.gov/toxprofiles/tp.asp?id=102&tid=23.
\20\ The SAB peer review of RTR Risk Assessment Methodologies is
available at: https://yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPA-SAB-10-007-unsigned.pdf.
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The EPA also evaluated screening estimates of acute exposures and
risks for each of the HAP at the point of highest potential off-site
exposure for each facility. To do this, the EPA estimated the risks
when both the peak hourly emissions rate and worst-case dispersion
conditions occur. We also assume that a person is located at the point
of highest impact during that same time. In accordance with our mandate
in section 112 of the Clean Air Act, we use the point of highest off-
site exposure to assess the potential risk to the maximally exposed
individual. The acute HQ is the estimated acute exposure divided by the
acute dose-response value. In each case, the EPA calculated acute HQ
values using best available, short-term dose-response values. These
acute dose-response values, which are described below, include the
acute REL, acute exposure guideline levels (AEGL) and emergency
response planning guidelines (ERPG) for 1-hour exposure durations. As
discussed below, we used conservative assumptions for emissions rates,
meteorology and exposure location for our acute analysis.
As described in the CalEPA's Air Toxics Hot Spots Program Risk
Assessment Guidelines, Part I, The Determination of Acute Reference
Exposure Levels for Airborne Toxicants, an acute REL value (https://www.oehha.ca.gov/air/pdf/acuterel.pdf) is defined as ``the
concentration level at or below which no adverse health effects are
anticipated for a specified exposure duration.'' Id. at page 2. Acute
REL values are based on the most sensitive, relevant, adverse health
effect reported in the peer-reviewed medical and toxicological
literature. Acute REL values are designed to protect the most sensitive
individuals in the population through the inclusion of margins of
safety. Because margins of safety are incorporated to address data gaps
and uncertainties, exceeding the REL does not automatically indicate an
adverse health impact.
As we state above, in assessing the potential risks associated with
acute exposures to HAP, we do not follow a prioritization scheme and
therefore we consider available dose-response values from multiple
authoritative sources. In the RTR program, EPA assesses acute risk
using toxicity values derived from one hour exposures. Based on an in-
depth examination of the available acute value for nickel [California
EPA's acute (1-hour) REL], we have concluded that this value is not
appropriate to use to support EPA's risk and technology review rules.
This conclusion takes into account: The effect on which the acute REL
is based; aspects of the methodology used in its derivation; and how
this assessment stands in comparison to the ATSDR toxicological
assessment, which considered the broader nickel health effects
database.
The broad nickel noncancer health effects database strongly
suggests that the respiratory tract is the primary target of nickel
toxicity following inhalation exposure. The available database on acute
noncancer respiratory effects is limited and was considered unsuitable
for quantitative analysis of nickel toxicity by both California EPA
\21\ and ATSDR.\22\ The California EPA's acute (1-hour) REL is based on
an alternative endpoint, immunotoxicity in mice, specifically depressed
antibody response measured in an antibody plaque assay.
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\21\ https://oehha.ca.gov/air/allrels.html.
\22\ https://www.atsdr.cdc.gov/substances/toxsubstance.asp?toxid=44.
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In addition, the current California acute (1-hour) REL for Ni
includes the application of methods that are different from those
described in EPA guidelines. Specifically, the (1-hour) REL applies
uncertainty factors that depart from the defaults in EPA guidelines and
does not
[[Page 60248]]
apply an inhalation dosimetric adjustment factor.
Further, the ATSDR's intermediate MRL (relevant to Ni exposures for
a time frame between 14 and 364 days), was established at the same
concentration as the California EPA (1- hour) REL, indicating that
exposure to this concentration ``is likely to be without appreciable
risk of adverse noncancer effects'' (MRL definition) \23\ for up to 364
days.
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\23\ Agency for Toxic Substances and Disease Registry (ATSDR),
Toxic Substances Portal. Minimal Risk Levels (MRLs) https://www.atsdr.cdc.gov/mrls/index.asp.
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We have high confidence in the nickel ATSDR intermediate MRL. Our
analysis of the broad toxicity database for nickel indicates that this
value is based on the most biologically-relevant endpoint. That is, the
intermediate MRL is based on a scientifically sound study of acute
respiratory toxicity. Furthermore, this value is supported by a robust
subchronic nickel toxicity database and was derived following
guidelines that are consistent with EPA guidelines.\24\ Finally, there
are no AEGL-1/ERPG-1 or AEGL-2/ERPG-2 values available for nickel.
Thus, for all the above mentioned reasons, we will not include Ni in
our acute analysis for this source category or in future assessments
unless and until an appropriate value becomes available.
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\24\ US EPA 2002. Review of the reference dose and reference
concentration processes (EPA/630/P-02/002F), December 2002, https://www.epa.gov/raf/publications/pdfs/rfd-final.pdf
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AEGL values were derived in response to recommendations from the
National Research Council (NRC). As described in Standing Operating
Procedures (SOP) of the National Advisory Committee on Acute Exposure
Guideline Levels for Hazardous Substances (https://www.epa.gov/oppt/aegl/pubs/sop.pdf),\25\ ``the NRC's previous name for acute exposure
levels--community emergency exposure levels--was replaced by the term
AEGL to reflect the broad application of these values to planning,
response and prevention in the community, the workplace,
transportation, the military and the remediation of Superfund sites.''
Id. at 2. This document also states that AEGL values ``represent
threshold exposure limits for the general public and are applicable to
emergency exposures ranging from 10 minutes to eight hours.'' Id. at 2.
---------------------------------------------------------------------------
\25\ National Academy of Sciences (NAS), 2001. Standing
Operating Procedures for Developing Acute Exposure Levels for
Hazardous Chemicals, page 2.
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The document lays out the purpose and objectives of AEGL by stating
that ``the primary purpose of the AEGL program and the National
Advisory Committee for Acute Exposure Guideline Levels for Hazardous
Substances is to develop guideline levels for once-in-a-lifetime,
short-term exposures to airborne concentrations of acutely toxic, high-
priority chemicals.'' Id. at 21. In detailing the intended application
of AEGL values, the document states that ``[i]t is anticipated that the
AEGL values will be used for regulatory and nonregulatory purposes by
U.S. Federal and state agencies and possibly the international
community in conjunction with chemical emergency response, planning,
and prevention programs. More specifically, the AEGL values will be
used for conducting various risk assessments to aid in the development
of emergency preparedness and prevention plans, as well as real-time
emergency response actions, for accidental chemical releases at fixed
facilities and from transport carriers.'' Id. at 31.
The AEGL-1 value is then specifically defined as ``the airborne
concentration (expressed as ppm (parts per million) or mg/m\3\
(milligrams per cubic meter)) of a substance above which it is
predicted that the general population, including susceptible
individuals, could experience notable discomfort, irritation, or
certain asymptomatic nonsensory effects. However, the effects are not
disabling and are transient and reversible upon cessation of
exposure.'' Id. at 3. The document also notes that, ``Airborne
concentrations below AEGL-1 represent exposure levels that can produce
mild and progressively increasing but transient and nondisabling odor,
taste, and sensory irritation or certain asymptomatic, nonsensory
effects.'' Id. Similarly, the document defines AEGL-2 values as ``the
airborne concentration (expressed as parts per million or milligrams
per cubic meter) of a substance above which it is predicted that the
general population, including susceptible individuals, could experience
irreversible or other serious, long-lasting adverse health effects or
an impaired ability to escape.'' Id.
ERPG values are derived for use in emergency response, as described
in the American Industrial Hygiene Association's ERP Committee document
entitled, ERPGS Procedures and Responsibilities (https://sp4m.aiha.org/insideaiha/GuidelineDevelopment/ERPG/Documents/ERP-SOPs2006.pdf), which
states that, ``Emergency Response Planning Guidelines were developed
for emergency planning and are intended as health based guideline
concentrations for single exposures to chemicals.'' \26\ Id. at 1. The
ERPG-1 value is defined as ``the maximum airborne concentration below
which it is believed that nearly all individuals could be exposed for
up to 1 hour without experiencing other than mild transient adverse
health effects or without perceiving a clearly defined, objectionable
odor.'' Id. at 2. Similarly, the ERPG-2 value is defined as ``the
maximum airborne concentration below which it is believed that nearly
all individuals could be exposed for up to one hour without
experiencing or developing irreversible or other serious health effects
or symptoms which could impair an individual's ability to take
protective action.'' Id. at 1.
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\26\ ERP Committee Procedures and Responsibilities. November 1,
2006. American Industrial Hygiene Association.
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As can be seen from the definitions above, the AEGL and ERPG values
include the similarly-defined severity levels 1 and 2. For many
chemicals, a severity level 1 value AEGL or ERPG has not been developed
because the types of effects for these chemicals are not consistent
with the AEGL-1/ERPG-1 definitions; in these instances, we compare
higher severity level AEGL-2 or ERPG-2 values to our modeled exposure
levels to screen for potential acute concerns. When AEGL-1/ERPG-1
values are available, they are used in our acute risk assessments.
Acute REL values for 1-hour exposure durations are typically lower
than their corresponding AEGL-1 and ERPG-1 values. Even though their
definitions are slightly different, AEGL-1 values are often the same as
the corresponding ERPG-1 values, and AEGL-2 values are often equal to
ERPG-2 values. Maximum HQ values from our acute screening risk
assessments typically result when basing them on the acute REL value
for a particular pollutant. In cases where our maximum acute HQ value
exceeds 1, we also report the HQ value based on the next highest acute
dose-response value (usually the AEGL-1 and/or the ERPG-1 value).
To develop screening estimates of acute exposures in the absence of
hourly emissions data, generally we first develop estimates of maximum
hourly emissions rates by multiplying the average actual annual hourly
emissions rates by a default factor to cover routinely variable
emissions. We choose the factor to use partially based on process
knowledge and engineering judgment. The factor chosen also reflects a
Texas study of short-term emissions variability, which showed that most
peak emission events in a
[[Page 60249]]
heavily-industrialized four-county area (Harris, Galveston, Chambers
and Brazoria Counties, Texas) were less than twice the annual average
hourly emissions rate. The highest peak emissions event was 74 times
the annual average hourly emissions rate, and the 99th percentile ratio
of peak hourly emissions rate to the annual average hourly emissions
rate was 9.\27\ Considering this analysis, to account for more than 99
percent of the peak hourly emissions, we apply a conservative screening
multiplication factor of 10 to the average annual hourly emissions rate
in our acute exposure screening assessments as our default approach.
However, we use a factor other than 10 if we have information that
indicates that a different factor is appropriate for a particular
source category.
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\27\ See https://www.tceq.state.tx.us/compliance/field_ops/eer/ or docket to access the source of these data.
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For this source category, data were available to determine process-
specific factors. Some processes, for example the electric arc
furnaces, operate continuously so there are no peak emissions. These
processes received a factor of 1 in the acute assessment. Other
processes, for example tapping and casting, have specific cycles, with
peak emissions occurring for a part of that cycle (e.g., 30 minutes
during a 2-hour period). For these processes, we used a factor of 4 in
the acute assessment. Even with data available to develop process-
specific factors, our acute assessment is still conservative in that it
assumes that every process releases its peak emissions at the same hour
and that this is the same hour as the worst-case dispersion conditions.
This results in a highly conservative exposure scenario. A further
discussion of why this factor of 4 was chosen can be found in the
memorandum, Revised Development of the RTR Emissions Dataset for the
Ferroalloys Production Source Category for the 2014 Supplemental
Proposal, available in the docket for this rulemaking.
As part of our acute risk assessment process, for cases where acute
HQ values from the screening step were less than or equal to 1 (even
under the conservative assumptions of the screening analysis), acute
impacts were deemed negligible and no further analysis was performed.
In cases where an acute HQ from the screening step was greater than 1,
additional site-specific data were considered to develop a more refined
estimate of the potential for acute impacts of concern. For this source
category, the data refinements employed consisted of determining that
the receptor with the maximum concentration was off of plant property.
These refinements are discussed more fully in the Residual Risk
Assessment for the Ferroalloys Production Source Category in Support of
the September 2014 Supplemental Proposal, which is available in the
docket for this source category. Ideally, we would prefer to have
continuous measurements over time to see how the emissions vary by each
hour over an entire year. Having a frequency distribution of hourly
emissions rates over a year would allow us to perform a probabilistic
analysis to estimate potential threshold exceedances and their
frequency of occurrence. Such an evaluation could include a more
complete statistical treatment of the key parameters and elements
adopted in this screening analysis. Recognizing that this level of data
is rarely available, we instead rely on the multiplier approach.
To better characterize the potential health risks associated with
estimated acute exposures to HAP, and in response to a key
recommendation from the SAB's peer review of the EPA's RTR risk
assessment methodologies,\28\ we generally examine a wider range of
available acute health metrics (e.g., RELs, AEGLs) than we do for our
chronic risk assessments. This is in response to the SAB's
acknowledgement that there are generally more data gaps and
inconsistencies in acute reference values than there are in chronic
reference values. In some cases, when Reference Value Arrays \29\ for
HAP have been developed, we consider additional acute values (i.e.,
occupational and international values) to provide a more complete risk
characterization.
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\28\ The SAB peer review of RTR Risk Assessment Methodologies is
available at: https://yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPA-SAB-10-007-unsigned.pdf.
\29\ U.S. EPA. (2009) Chapter 2.9 Chemical Specific Reference
Values for Formaldehyde in Graphical Arrays of Chemical-Specific
Health Effect Reference Values for Inhalation Exposures (Final
Report). U.S. Environmental Protection Agency, Washington, DC, EPA/
600/R-09/061 and available online at https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=211003.
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4. How did we conduct the multipathway exposure and risk screening?
The EPA conducted a screening analysis examining the potential for
significant human health risks due to exposures via routes other than
inhalation (i.e., ingestion). We first determined whether any sources
in the source category emitted any hazardous air pollutants known to be
persistent and bioaccumulative in the environment (PB-HAP). The PB-HAP
compounds or compound classes are identified for the screening from the
EPA's Air Toxics Risk Assessment Library (available at https://www2.epa.gov/fera/risk-assessment-and-modeling-air-toxics-risk-assessment-reference-library).
For the Ferroalloys Production source category, we identified
emissions of cadmium compounds, chlorinated dibenzodioxins and furans,
lead compounds, mercury compounds and polycyclic organic matter.
Because one or more of these PB-HAP are emitted by at least one
facility in the Ferroalloys Production source category, we proceeded to
the second step of the evaluation. In this step, we determined whether
the facility-specific emissions rates of each of the emitted PB-HAP
were large enough to create the potential for significant non-
inhalation human health risks under reasonable worst-case conditions.
To facilitate this step, we developed emissions rate screening levels
for several PB-HAP using a hypothetical upper-end screening exposure
scenario developed for use in conjunction with the EPA's Total Risk
Integrated Methodology.Fate, Transport, and Ecological Exposure
(TRIM.FaTE) model. The PB-HAP with emissions rate screening level
values are: Lead, cadmium, chlorinated dibenzodioxins and furans,
mercury compounds, and polycyclic organic matter (POM). We conducted a
sensitivity analysis on the screening scenario to ensure that its key
design parameters would represent the upper end of the range of
possible values, such that it would represent a conservative but not
impossible scenario. The facility-specific emissions rates of these PB-
HAP were compared to the emission rate screening levels for these PB-
HAP to assess the potential for significant human health risks via non-
inhalation pathways. We call this application of the TRIM.FaTE model
the Tier I TRIM-screen or Tier I screen.
For the purpose of developing emissions rates for our Tier I TRIM-
screen, we derived emission levels for these PB-HAP (other than lead
compounds) at which the maximum excess lifetime cancer risk would be 1-
in-1 million (i.e., for polychlorinated dibenzodioxins and furans and
POM) or, for HAP that cause non-cancer health effects (i.e., cadmium
compounds and mercury compounds), the maximum hazard quotient would be
1. If the emissions rate of any PB-HAP included in the Tier I screen
exceeds the Tier I screening emissions rate for any facility, we
conduct a second screen, which we call the Tier II TRIM-screen or Tier
II screen.
[[Page 60250]]
In the Tier II screen, the location of each facility that exceeded
the Tier I emission rate is used to refine the assumptions associated
with the environmental scenario while maintaining the exposure scenario
assumptions. We then adjust the risk-based Tier I screening level for
each PB-HAP for each facility based on an understanding of how exposure
concentrations estimated for the screening scenario change with
meteorology and environmental assumptions. PB-HAP emissions that do not
exceed these new Tier II screening levels are considered to pose no
unacceptable risks. When facilities exceed the Tier II screening
levels, it does not mean that multipathway impacts are significant,
only that we cannot rule out that possibility based on the results of
the screen.
If the PB-HAP emissions for a facility exceed the Tier II screening
emissions rate and data are available, we may decide to conduct a more
refined multipathway assessment. A refined assessment replaces some of
the assumptions made in the Tier II screen, with site-specific data.
The refined assessment also uses the TRIM.FaTE model and facility-
specific emission rate screening levels that are created for each PB-
HAP. For the ferroalloys production source category, we did conduct a
refined multipathway assessment for one facility in the category. A
detailed discussion of the approach for this assessment can be found in
Appendix 10 (Technical Support Document: Human Health Multipathway
Residual Risk Assessment for the Ferroalloys Production Source
Category) of the risk assessment document.
In evaluating the potential multi-pathway risk from emissions of
lead compounds, rather than developing a screening emissions rate for
them, we compared maximum estimated chronic inhalation exposures with
the level of the current National Ambient Air Quality Standard (NAAQS)
for lead.\30\ Values below the level of the primary (health-based) lead
NAAQS were considered to have a low potential for multi-pathway risk.
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\30\ In doing so, EPA notes that the legal standard for a
primary NAAQS--that a standard is requisite to protect public health
and provide an adequate margin of safety (CAA section 109(b))--
differs from the section 112(f) standard (requiring among other
things that the standard provide an ``ample margin of safety'').
However, the lead NAAQS is a reasonable measure of determining risk
acceptability (i.e. the first step of the Benzene NESHAP analysis)
since it is designed to protect the most susceptible group in the
human population--children, including children living near major
lead emitting sources. 73 FR 67002/3; 73 FR 67000/3; 73 FR 67005/1.
In addition, applying the level of the primary lead NAAQS at the
risk acceptability step is conservative, since that primary lead
NAAQS reflects an adequate margin of safety.
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For further information on the multipathway analysis approach, see
the Residual Risk Assessment for the Ferroalloys Production Source
Category in Support of the September 2014 Supplemental Proposal, which
is available in the docket for this action.
5. How did we assess risks considering the revised emissions control
options?
In addition to assessing baseline inhalation risks and potential
multipathway risks, we also estimated risks considering the emissions
reductions that would be achieved by the control options under
consideration in this supplemental proposal. In these cases, the
expected emissions reductions were applied to the specific HAP and
emissions points in the RTR emissions dataset to develop corresponding
estimates of risk that would exist after implementation of the proposed
amendments in today's action.
6. How did we conduct the environmental risk screening assessment?
a. Adverse Environmental Effect
The EPA has developed a screening approach to examine the potential
for adverse environmental effects as required under section
112(f)(2)(A) of the CAA. Section 112(a)(7) of the CAA defines ``adverse
environmental effect'' as ``any significant and widespread adverse
effect, which may reasonably be anticipated, to wildlife, aquatic life,
or other natural resources, including adverse impacts on populations of
endangered or threatened species or significant degradation of
environmental quality over broad areas.''
b. Environmental HAP
The EPA focuses on seven HAP, which we refer to as ``environmental
HAP,'' in its screening analysis: Five persistent bioaccumulative HAP
(PB-HAP) and two acid gases. The five PB-HAP are cadmium, dioxins/
furans, polycyclic organic matter (POM), mercury (both inorganic
mercury and methyl mercury) and lead compounds. The two acid gases are
hydrogen chloride (HCl) and hydrogen fluoride (HF). The rationale for
including these seven HAP in the environmental risk screening analysis
is presented below.
The HAP that persist and bioaccumulate are of particular
environmental concern because they accumulate in the soil, sediment and
water. The PB-HAP are taken up, through sediment, soil, water, and/or
ingestion of other organisms, by plants or animals (e.g., small fish)
at the bottom of the food chain. As larger and larger predators consume
these organisms, concentrations of the PB-HAP in the animal tissues
increase as does the potential for adverse effects. The five PB-HAP we
evaluate as part of our screening analysis account for 99.8 percent of
all PB-HAP emissions nationally from stationary sources (on a mass
basis from the 2005 NEI).
In addition to accounting for almost all of the mass of PB-HAP
emitted, we note that the TRIM.FaTE model that we use to evaluate
multipathway risk allows us to estimate concentrations of cadmium
compounds, dioxins/furans, POM and mercury in soil, sediment and water.
For lead compounds, we currently do not have the ability to calculate
these concentrations using the TRIM.FaTE model. Therefore, to evaluate
the potential for adverse environmental effects from lead compounds, we
compare the estimated HEM-modeled exposures from the source category
emissions of lead with the level of the secondary National Ambient Air
Quality Standard (NAAQS) for lead.\31\ We consider values below the
level of the secondary lead NAAQS as unlikely to cause adverse
environmental effects.
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\31\ The secondary lead NAAQS is a reasonable measure of
determining whether there is an adverse environmental effect since
it was established considering ``effects on soils, water, crops,
vegetation, man-made materials, animals, wildlife, weather,
visibility and climate, damage to and deterioration of property, and
hazards to transportation, as well as effects on economic values and
on personal comfort and well-being.''
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Due to their well-documented potential to cause direct damage to
terrestrial plants, we include two acid gases, HCl and HF, in the
environmental screening analysis. According to the 2005 NEI, HCl and HF
account for about 99 percent (on a mass basis) of the total acid gas
HAP emitted by stationary sources in the U.S. In addition to the
potential to cause direct damage to plants, high concentrations of HF
in the air have been linked to fluorosis in livestock. Air
concentrations of these HAP are already calculated as part of the human
multipathway exposure and risk screening analysis using the HEM3-AERMOD
air dispersion model, and we are able to use the air dispersion
modeling results to estimate the potential for an adverse environmental
effect.
The EPA acknowledges that other HAP beyond the seven HAP discussed
above may have the potential to cause adverse environmental effects.
Therefore, the EPA may include other relevant HAP in its environmental
risk
[[Page 60251]]
screening in the future, as modeling science and resources allow. The
EPA invites comment on the extent to which other HAP emitted by the
source category may cause adverse environmental effects. Such
information should include references to peer-reviewed ecological
effects benchmarks that are of sufficient quality for making regulatory
decisions, as well as information on the presence of organisms located
near facilities within the source category that such benchmarks
indicate could be adversely affected.
c. Ecological Assessment Endpoints and Benchmarks for PB-HAP
An important consideration in the development of the EPA's
screening methodology is the selection of ecological assessment
endpoints and benchmarks. Ecological assessment endpoints are defined
by the ecological entity (e.g., aquatic communities including fish and
plankton) and its attributes (e.g., frequency of mortality). Ecological
assessment endpoints can be established for organisms, populations,
communities or assemblages, and ecosystems.
For PB-HAP (other than lead compounds), we evaluated the following
community-level ecological assessment endpoints to screen for organisms
directly exposed to HAP in soils, sediment and water:
Local terrestrial communities (i.e., soil invertebrates,
plants) and populations of small birds and mammals that consume soil
invertebrates exposed to PB-HAP in the surface soil.
Local benthic (i.e., bottom sediment dwelling insects,
amphipods, isopods and crayfish) communities exposed to PB-HAP in
sediment in nearby water bodies.
Local aquatic (water-column) communities (including fish
and plankton) exposed to PB-HAP in nearby surface waters.
For PB-HAP (other than lead compounds), we also evaluated the
following population-level ecological assessment endpoint to screen for
indirect HAP exposures of top consumers via the bioaccumulation of HAP
in food chains.
Piscivorous (i.e., fish-eating) wildlife consuming PB-HAP-
contaminated fish from nearby water bodies.
For cadmium compounds, dioxins/furans, POM and mercury, we
identified the available ecological benchmarks for each assessment
endpoint. An ecological benchmark represents a concentration of HAP
(e.g., 0.77 ug of HAP per liter of water) that has been linked to a
particular environmental effect level (e.g., a no-observed-adverse-
effect level (NOAEL)) through scientific study. For PB-HAP we
identified, where possible, ecological benchmarks at the following
effect levels:
Probable effect levels (PEL): Level above which adverse effects are
expected to occur frequently.
Lowest-observed-adverse-effect level (LOAEL): The lowest exposure
level tested at which there are biologically significant increases in
frequency or severity of adverse effects.
No-observed-adverse-effect levels (NOAEL): The highest exposure
level tested at which there are no biologically significant increases
in the frequency or severity of adverse effect.
We established a hierarchy of preferred benchmark sources to allow
selection of benchmarks for each environmental HAP at each ecological
assessment endpoint. In general, the EPA sources that are used at a
programmatic level (e.g., Office of Water, Superfund Program) were
used, if available. If not, the EPA benchmarks used in regional
programs (e.g., Superfund) were used. If benchmarks were not available
at a programmatic or regional level, we used benchmarks developed by
other federal agencies (e.g., National Oceanic and Atmospheric
Administration (NOAA)) or state agencies.
Benchmarks for all effect levels are not available for all PB-HAP
and assessment endpoints. In cases where multiple effect levels were
available for a particular PB-HAP and assessment endpoint, we use all
of the available effect levels to help us to determine whether
ecological risks exist and, if so, whether the risks could be
considered significant and widespread.
d. Ecological Assessment Endpoints and Benchmarks for Acid Gases
The environmental screening analysis also evaluated potential
damage and reduced productivity of plants due to direct exposure to
acid gases in the air. For acid gases, we evaluated the following
ecological assessment endpoint:
Local terrestrial plant communities with foliage exposed
to acidic gaseous HAP in the air.
The selection of ecological benchmarks for the effects of acid
gases on plants followed the same approach as for PB-HAP (i.e., we
examine all of the available benchmarks). For HCl, the EPA identified
chronic benchmark concentrations. We note that the benchmark for
chronic HCl exposure to plants is greater than the reference
concentration for chronic inhalation exposure for human health. This
means that where the EPA includes regulatory requirements to prevent an
exceedance of the reference concentration for human health, additional
analyses for adverse environmental effects of HCl would not be
necessary.
For HF, the EPA identified chronic benchmark concentrations for
plants and evaluated chronic exposures to plants in the screening
analysis. High concentrations of HF in the air have also been linked to
fluorosis in livestock. However, the HF concentrations at which
fluorosis in livestock occur are higher than those at which plant
damage begins. Therefore, the benchmarks for plants are protective of
both plants and livestock.
e. Screening Methodology
For the environmental risk screening analysis, the EPA first
determined whether any facilities in the ferroalloys production source
category sources emitted any of the seven environmental HAP. For the
ferroalloys production source category, we identified emissions of five
of the PB HAP (cadmium, mercury, lead compounds, dioxins and polycyclic
organic matter) and one acid gas (HCl).
Because one or more of the seven environmental HAP evaluated are
emitted by the facilities in the source category, we proceeded to the
second step of the evaluation.
f. PB-HAP Methodology
For cadmium, mercury, POM and dioxins/furans, the environmental
screening analysis consists of two tiers, while lead compounds are
analyzed differently as discussed earlier. In the first tier, we
determined whether the maximum facility-specific emission rates of each
of the emitted environmental HAP were large enough to create the
potential for adverse environmental effects under reasonable worst-case
environmental conditions. These are the same environmental conditions
used in the human multipathway exposure and risk screening analysis.
To facilitate this step, TRIM.FaTE was run for each PB-HAP under
hypothetical environmental conditions designed to provide
conservatively high HAP concentrations. The model was set to maximize
runoff from terrestrial parcels into the modeled lake, which in turn,
maximized the chemical concentrations in the water, the sediments and
the fish. The resulting media concentrations were then used to back-
calculate a screening level emission rate that corresponded to the
[[Page 60252]]
relevant exposure benchmark concentration value for each assessment
endpoint. To assess emissions from a facility, the reported emission
rate for each PB-HAP was compared to the screening level emission rate
for that PB-HAP for each assessment endpoint. If emissions from a
facility do not exceed the Tier I screening level, the facility
``passes'' the screen, and therefore, is not evaluated further under
the screening approach. If emissions from a facility exceed the Tier I
screening level, we evaluate the facility further in Tier II.
In Tier II of the environmental screening analysis, the emission
rate screening levels are adjusted to account for local meteorology and
the actual location of lakes in the vicinity of facilities that did not
pass the Tier I screen. The modeling domain for each facility in the
tier II analysis consists of eight octants. Each octant contains 5
modeled soil concentrations at various distances from the facility (5
soil concentrations x 8 octants = total of 40 soil concentrations per
facility) and 1 lake with modeled concentrations for water, sediment
and fish tissue. In the tier II environmental risk screening analysis,
the 40 soil concentration points are averaged to obtain an average soil
concentration for each facility for each PB-HAP. For the water,
sediment and fish tissue concentrations, the highest value for each
facility for each pollutant is used. If emission concentrations from a
facility do not exceed the Tier II screening levels, the facility
passes the screen and typically is not evaluated further. If emissions
from a facility exceed the Tier II screening level, the facility does
not pass the screen and, therefore, may have the potential to cause
adverse environmental effects. Such facilities are evaluated further to
investigate factors such as the magnitude and characteristics of the
area of exceedance.
g. Acid Gas Methodology
The environmental screening analysis evaluates the potential
phytotoxicity and reduced productivity of plants due to chronic
exposure to acid gases. The environmental risk screening methodology
for acid gases is a single-tier screen that compares the average off-
site ambient air concentration over the modeling domain to ecological
benchmarks for each of the acid gases. Because air concentrations are
compared directly to the ecological benchmarks, emission-based
screening levels are not calculated for acid gases as they are in the
ecological risk screening methodology for PB-HAPs.
For purposes of ecological risk screening, the EPA identifies a
potential for adverse environmental effects to plant communities from
exposure to acid gases when the average concentration of the HAP around
a facility exceeds the LOAEL ecological benchmark. In such cases, we
further investigate factors such as the magnitude and characteristics
of the area of exceedance (e.g., land use of exceedance area, size of
exceedance area) to determine if there is an adverse environmental
effect. For further information on the environmental screening analysis
approach, see the Residual Risk Assessment for the Ferroalloys
Production Source Category in Support of the September 2014
Supplemental Proposal, which is available in the docket for this
action.
7. How did we conduct facility-wide assessments?
To put the source category risks in context, we typically examine
the risks from the entire ``facility,'' where the facility includes all
HAP-emitting operations within a contiguous area and under common
control. In other words, we examine the HAP emissions not only from the
source category of interest, but also emissions of HAP from all other
emissions sources at the facility for which we have data. However, for
the Ferroalloys Production source category, we did not identify other
HAP emissions sources located at these facilities. Thus, we did not
perform a separate facility wide risk assessment.
8. How did we consider uncertainties in risk assessment?
In the Benzene NESHAP, we concluded that risk estimation
uncertainty should be considered in our decision-making under the ample
margin of safety framework. Uncertainty and the potential for bias are
inherent in all risk assessments, including those performed for this
proposal. Although uncertainty exists, we believe that our approach,
which used conservative tools and assumptions, ensures that our
decisions are health protective and environmentally protective. A brief
discussion of the uncertainties in the RTR emissions dataset,
dispersion modeling, inhalation exposure estimates and dose-response
relationships follows below. A more thorough discussion of these
uncertainties is included in the Revised Development of the RTR
Emissions Dataset for the Ferroalloys Production Source Category for
the 2014 Supplemental Proposal (Emissions Memo) and the other
uncertainties are described in more detail in the Residual Risk
Assessment for the Ferroalloys Production Source Category in Support of
the September 2014 Supplemental Proposal, which is available in the
docket for this action.
a. Uncertainties in the RTR Emissions Dataset
Although the development of the RTR emissions dataset involved
quality assurance/quality control processes, the accuracy of emissions
values will vary depending on the source of the data, the degree to
which data are incomplete or missing, the degree to which assumptions
made to complete the datasets are accurate, errors in emission
estimates and other factors. The emission estimates considered in this
analysis generally are annual totals for certain years, and they do not
reflect short-term fluctuations during the course of a year or
variations from year to year. The estimates of peak hourly emission
rates for the acute effects screening assessment were based on an
emission adjustment factor applied to the average annual hourly
emission rates, which are intended to account for emission fluctuations
due to normal facility operations.
As described above and in the emissions technical document, we
gathered a substantial amount of emissions test data for the stack
emissions from both facilities. Therefore, the level of uncertainty in
the estimates of HAP emissions from the stacks is relatively low.
Regarding fugitive emissions, we lack direct quantitative measurements
of these emissions, therefore, we had to rely on available emissions
factors and other technical information to derive the best estimates of
emissions for these emissions. To estimate these fugitive emissions, we
relied on information and observations gathered through several site
visits by the EPA technical experts, reviewed and evaluated all
available emissions factors and analyzed other relevant information
such as the measured ratios of HAP metals to particulate matter,
estimated capture efficiencies of the various ventilation hoods
currently used to capture and control some of the fugitive emissions
and the production rates for various products. Based on this
information, we have derived the best estimates of fugitive emissions
from these sources. Details are described in the Emissions Memo, which
is available in the docket for this action. Nevertheless, there are
still some uncertainties regarding the precise quantities of fugitive
HAP being emitted from these plants.
[[Page 60253]]
b. Uncertainties in Dispersion Modeling
We recognize there is uncertainty in ambient concentration
estimates associated with any model, including the EPA's recommended
regulatory dispersion model, AERMOD. In using a model to estimate
ambient pollutant concentrations, the user chooses certain options to
apply. For RTR assessments, we select some model options that have the
potential to overestimate ambient air concentrations (e.g., not
including plume depletion or pollutant transformation). We select other
model options that have the potential to underestimate ambient impacts
(e.g., not including building downwash). Other options that we select
have the potential to either under- or overestimate ambient levels
(e.g., meteorology and receptor locations). On balance, considering the
directional nature of the uncertainties commonly present in ambient
concentrations estimated by dispersion models, the approach we apply in
the RTR assessments should yield unbiased estimates of ambient HAP
concentrations.
c. Uncertainties in Inhalation Exposure
The EPA did not include the effects of human mobility on exposures
in the assessment. Specifically, short-term mobility and long-term
mobility between census blocks in the modeling domain were not
considered.\32\ The approach of not considering short or long-term
population mobility does not bias the estimate of the theoretical MIR
(by definition), nor does it affect the estimate of cancer incidence
because the total population number remains the same. It does, however,
affect the shape of the distribution of individual risks across the
affected population, shifting it toward higher estimated individual
risks at the upper end and reducing the number of people estimated to
be at lower risks, thereby increasing the estimated number of people at
specific high risk levels (e.g., 1-in-10 thousand or 1-in-1 million).
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\32\ Short-term mobility is movement from one micro-environment
to another over the course of hours or days. Long-term mobility is
movement from one residence to another over the course of a
lifetime.
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In addition, the assessment predicted the chronic exposures at the
centroid of each populated census block as surrogates for the exposure
concentrations for all people living in that block. Using the census
block centroid to predict chronic exposures tends to over-predict
exposures for people in the census block who live farther from the
facility and under-predict exposures for people in the census block who
live closer to the facility. Thus, using the census block centroid to
predict chronic exposures may lead to a potential understatement or
overstatement of the true maximum impact, but is an unbiased estimate
of average risk and incidence. We reduce this uncertainty by analyzing
large census blocks near facilities using aerial imagery and adjusting
the location of the block centroid to better represent the population
in the block, as well as adding additional receptor locations where the
block population is not well represented by a single location.
The assessment evaluates the cancer inhalation risks associated
with pollutant exposures over a 70-year period, which is the assumed
lifetime of an individual. In reality, both the length of time that
modeled emission sources at facilities actually operate (i.e., more or
less than 70 years) and the domestic growth or decline of the modeled
industry (i.e., the increase or decrease in the number or size of
domestic facilities) will influence the future risks posed by a given
source or source category. Depending on the characteristics of the
industry, these factors will, in most cases, result in an overestimate
both in individual risk levels and in the total estimated number of
cancer cases. However, in the unlikely scenario where a facility
maintains, or even increases, its emissions levels over a period of
more than 70 years, residents live beyond 70 years at the same
location, and the residents spend most of their days at that location,
then the cancer inhalation risks could potentially be underestimated.
However, annual cancer incidence estimates from exposures to emissions
from these sources would not be affected by the length of time an
emissions source operates.
The exposure estimates used in these analyses assume chronic
exposures to ambient (outdoor) levels of pollutants. Because most
people spend the majority of their time indoors, actual exposures may
not be as high, depending on the characteristics of the pollutants
modeled. For many of the HAP, indoor levels are roughly equivalent to
ambient levels, but for very reactive pollutants or larger particles,
indoor levels are typically lower. This factor has the potential to
result in an overestimate of 25 to 30 percent of exposures.\33\
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\33\ U.S. EPA. National-Scale Air Toxics Assessment for 1996.
(EPA 453/R-01-003; January 2001; page 85.)
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In addition to the uncertainties highlighted above, there are
several factors specific to the acute exposure assessment that the EPA
conducts as part of the risk review under section 112 of the CAA that
should be highlighted. The accuracy of an acute inhalation exposure
assessment depends on the simultaneous occurrence of independent
factors that may vary greatly, such as hourly emissions rates,
meteorology and the presence of humans at the location of the maximum
concentration. In the acute screening assessment that we conduct under
the RTR program, we assume that peak emissions from the source category
and worst-case meteorological conditions co-occur, thus resulting in
maximum ambient concentrations. These two events are unlikely to occur
at the same time, making these assumptions conservative. We then
include the additional assumption that a person is located at this
point during this same time period. For this source category, these
assumptions would tend to be worst-case actual exposures as it is
unlikely that a person would be located at the point of maximum
exposure during the time when peak emissions and worst-case
meteorological conditions occur simultaneously.
d. Uncertainties in Dose-Response Relationships
There are uncertainties inherent in the development of the dose-
response values used in our risk assessments for cancer effects from
chronic exposures and non-cancer effects from both chronic and acute
exposures. Some uncertainties may be considered quantitatively, and
others generally are expressed in qualitative terms. We note as a
preface to this discussion a point on dose-response uncertainty that is
brought out in the EPA's 2005 Cancer Guidelines; namely, that ``the
primary goal of EPA actions is protection of human health; accordingly,
as an Agency policy, risk assessment procedures, including default
options that are used in the absence of scientific data to the
contrary, should be health protective'' (EPA 2005 Cancer Guidelines,
pages 1-7). This is the approach followed here as summarized in the
next several paragraphs. A complete detailed discussion of
uncertainties and variability in dose-response relationships is given
in the Residual Risk Assessment for the Ferroalloys Production Source
Category in Support of the September 2014 Supplemental Proposal, which
is available in the docket for this action.
Cancer URE values used in our risk assessments are those that have
been developed to generally provide an upper bound estimate of risk.
That is, they represent a ``plausible upper limit to the
[[Page 60254]]
true value of a quantity'' (although this is usually not a true
statistical confidence limit).\34\ In some circumstances, the true risk
could be as low as zero; however, in other circumstances the risk could
be greater.\35\ When developing an upper bound estimate of risk and to
provide risk values that do not underestimate risk, health-protective
default approaches are generally used. To err on the side of ensuring
adequate health protection, the EPA typically uses the upper bound
estimates rather than lower bound or central tendency estimates in our
risk assessments, an approach that may have limitations for other uses
(e.g., priority-setting or expected benefits analysis).
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\34\ IRIS glossary (https://www.epa.gov/NCEA/iris/help_gloss.htm).
\35\ An exception to this is the URE for benzene, which is
considered to cover a range of values, each end of which is
considered to be equally plausible and which is based on maximum
likelihood estimates.
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Chronic non-cancer RfC and reference dose (RfD) values represent
chronic exposure levels that are intended to be health-protective
levels. Specifically, these values provide an estimate (with
uncertainty spanning perhaps an order of magnitude) of a continuous
inhalation exposure (RfC) or a daily oral exposure (RfD) to the human
population (including sensitive subgroups) that is likely to be without
an appreciable risk of deleterious effects during a lifetime. To derive
values that are intended to be ``without appreciable risk,'' the
methodology relies upon an uncertainty factor (UF) approach (U.S. EPA,
1993, 1994) which considers uncertainty, variability and gaps in the
available data. The UF are applied to derive reference values that are
intended to protect against appreciable risk of deleterious effects.
The UF are commonly default values,\36\ e.g., factors of 10 or 3, used
in the absence of compound-specific data; where data are available, UF
may also be developed using compound-specific information. When data
are limited, more assumptions are needed and more UF are used. Thus,
there may be a greater tendency to overestimate risk in the sense that
further study might support development of reference values that are
higher (i.e., less potent) because fewer default assumptions are
needed. However, for some pollutants, it is possible that risks may be
underestimated.
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\36\ According to the NRC report, Science and Judgment in Risk
Assessment (NRC, 1994) ``[Default] options are generic approaches,
based on general scientific knowledge and policy judgment, that are
applied to various elements of the risk assessment process when the
correct scientific model is unknown or uncertain.'' The 1983 NRC
report, Risk Assessment in the Federal Government: Managing the
Process, defined default option as ``the option chosen on the basis
of risk assessment policy that appears to be the best choice in the
absence of data to the contrary'' (NRC, 1983a, p. 63). Therefore,
default options are not rules that bind the Agency; rather, the
Agency may depart from them in evaluating the risks posed by a
specific substance when it believes this to be appropriate. In
keeping with EPA's goal of protecting public health and the
environment, default assumptions are used to ensure that risk to
chemicals is not underestimated (although defaults are not intended
to overtly overestimate risk). See EPA, 2004, An Examination of EPA
Risk Assessment Principles and Practices, EPA/100/B-04/001 available
at: https://www.epa.gov/osa/pdfs/ratf-final.pdf.
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While collectively termed ``UF,'' these factors account for a
number of different quantitative considerations when using observed
animal (usually rodent) or human toxicity data in the development of
the RfC. The UF are intended to account for: (1) Variation in
susceptibility among the members of the human population (i.e., inter-
individual variability); (2) uncertainty in extrapolating from
experimental animal data to humans (i.e., interspecies differences);
(3) uncertainty in extrapolating from data obtained in a study with
less-than-lifetime exposure (i.e., extrapolating from sub-chronic to
chronic exposure); (4) uncertainty in extrapolating the observed data
to obtain an estimate of the exposure associated with no adverse
effects; and (5) uncertainty when the database is incomplete or there
are problems with the applicability of available studies.
Many of the UF used to account for variability and uncertainty in
the development of acute reference values are quite similar to those
developed for chronic durations, but they more often use individual UF
values that may be less than 10. The UF are applied based on chemical-
specific or health effect-specific information (e.g., simple irritation
effects do not vary appreciably between human individuals, hence a
value of 3 is typically used), or based on the purpose for the
reference value (see the following paragraph). The UF applied in acute
reference value derivation include: (1) Heterogeneity among humans; (2)
uncertainty in extrapolating from animals to humans; (3) uncertainty in
lowest observed adverse effect (exposure) level to no observed adverse
effect (exposure) level adjustments; and (4) uncertainty in accounting
for an incomplete database on toxic effects of potential concern.
Additional adjustments are often applied to account for uncertainty in
extrapolation from observations at one exposure duration (e.g., 4
hours) to derive an acute reference value at another exposure duration
(e.g., 1 hour).
Not all acute reference values are developed for the same purpose
and care must be taken when interpreting the results of an acute
assessment of human health effects relative to the reference value or
values being exceeded. Where relevant to the estimated exposures, the
lack of short-term dose-response values at different levels of severity
should be factored into the risk characterization as potential
uncertainties.
Although every effort is made to identify appropriate human health
effect dose-response assessment values for all pollutants emitted by
the sources in this risk assessment, some HAP emitted by this source
category are lacking dose-response assessments. Accordingly, these
pollutants cannot be included in the quantitative risk assessment,
which could result in quantitative estimates understating HAP risk. As
we state above in section III.A.3, based on a recent in-depth
examination of the available acute value for nickel (California EPA's
acute (1-hour) REL), we have concluded that this value is not
appropriate for our regulatory needs in characterizing the potential
for acute health risks. This conclusion takes into account the effect
on which the acute REL is based, aspects of the methodology used in its
derivation, and how this assessment stands in comparison to other
comprehensive toxicological assessments which considered the broader
nickel health effects database. Also, there are no AEGL-1 or -2 or
ERPG-1 or -2 values available to use in this acute risk assessment.
Therefore, we will not include nickel in our acute analysis for this
source category or in future assessments unless and until an
appropriate value becomes available.
To help to alleviate this potential underestimate, where we
conclude similarity with a HAP for which a dose-response assessment
value is available, we use that value as a surrogate for the assessment
of the HAP for which no value is available. To the extent use of
surrogates indicates appreciable risk, we may identify a need to
increase priority for new IRIS assessment of that substance. We
additionally note that, generally speaking, HAP of greatest concern due
to environmental exposures and hazard are those for which dose-response
assessments have been performed, reducing the likelihood of
understating risk. Further, HAP not included in the quantitative
assessment are assessed qualitatively and considered in the risk
characterization that informs the risk management decisions, including
with regard to consideration of HAP reductions achieved by various
control options.
[[Page 60255]]
For a group of compounds that are unspeciated (e.g., glycol
ethers), we conservatively use the most protective reference value of
an individual compound in that group to estimate risk. Similarly, for
an individual compound in a group (e.g., ethylene glycol diethyl ether)
that does not have a specified reference value, we also apply the most
protective reference value from the other compounds in the group to
estimate risk.
e. Uncertainties in the Multipathway Assessment
For each source category, we generally rely on site-specific levels
of PB-HAP emissions to determine whether a refined assessment of the
impacts from multipathway exposures is necessary. This determination is
based on the results of a two-tiered screening analysis that relies on
the outputs from models that estimate environmental pollutant
concentrations and human exposures for four PB-HAP. Two important types
of uncertainty associated with the use of these models in RTR risk
assessments and inherent to any assessment that relies on environmental
modeling are model uncertainty and input uncertainty.\37\ Model
uncertainty concerns whether the selected models are appropriate for
the assessment being conducted and whether they adequately represent
the actual processes that might occur for that situation. An example of
model uncertainty is the question of whether the model adequately
describes the movement of a pollutant through the soil. This type of
uncertainty is difficult to quantify. However, based on feedback
received from previous EPA Science Advisory Board reviews and other
reviews, we are confident that the models used in the screen are
appropriate and state-of-the-art for the multipathway risk assessments
conducted in support of RTR.
---------------------------------------------------------------------------
\37\ In the context of this discussion, the term ``uncertainty''
as it pertains to exposure and risk encompasses both variability in
the range of expected inputs and screening results due to existing
spatial, temporal, and other factors, as well as uncertainty in
being able to accurately estimate the true result.
---------------------------------------------------------------------------
Input uncertainty is concerned with how accurately the models have
been configured and parameterized for the assessment at hand. For Tier
I of the multipathway screen, we configured the models to avoid
underestimating exposure and risk. This was accomplished by selecting
upper-end values from nationally-representative data sets for the more
influential parameters in the environmental model, including selection
and spatial configuration of the area of interest, lake location and
size, meteorology, surface water and soil characteristics and structure
of the aquatic food web. We also assume an ingestion exposure scenario
and values for human exposure factors that represent reasonable maximum
exposures.
In Tier II of the multipathway assessment, we refine the model
inputs to account for meteorological patterns in the vicinity of the
facility versus using upper-end national values and we identify the
actual location of lakes near the facility rather than the default lake
location that we apply in Tier I. By refining the screening approach in
Tier II to account for local geographical and meteorological data, we
decrease the likelihood that concentrations in environmental media are
overestimated, thereby increasing the usefulness of the screen. The
assumptions and the associated uncertainties regarding the selected
ingestion exposure scenario are the same for Tier I and Tier II.
For both Tiers I and II of the multipathway assessment, our
approach to addressing model input uncertainty is generally cautious.
We choose model inputs from the upper end of the range of possible
values for the influential parameters used in the models, and we assume
that the exposed individual exhibits ingestion behavior that would lead
to a high total exposure. This approach reduces the likelihood of not
identifying high risks for adverse impacts.
Despite the uncertainties, when individual pollutants or facilities
do screen out, we are confident that the potential for adverse
multipathway impacts on human health is very low. On the other hand,
when individual pollutants or facilities do not screen out, it does not
mean that multipathway impacts are significant, only that we cannot
rule out that possibility and that a refined multipathway analysis for
the site might be necessary to obtain a more accurate risk
characterization for the source category.
For further information on uncertainties and the Tier I and II
screening methods, refer to the risk document Appendix 4, Technical
Support Document for TRIM-Based Multipathway Tiered Screening
Methodology for RTR.
We also completed a refined multi-pathway assessment for this
supplemental proposal. The refined assessment contains considerably
less uncertainty compared to the Tier I and Tier II screens.
Nevertheless, some uncertainties also exist with the refined
assessments. The refined multi-pathway assessment and related
uncertainties are described in detail in the risk document Appendix 10,
Residual Risk Assessment for the Ferroalloys Production Source Category
in Support of the September 2014 Supplemental Proposal, which is
available in the docket for this action.
f. Uncertainties in the Environmental Risk Screening Assessment
For each source category, we generally rely on site-specific levels
of environmental HAP emissions to perform an environmental screening
assessment. The environmental screening assessment is based on the
outputs from models that estimate environmental HAP concentrations. The
same models, specifically the TRIM.FaTE multipathway model and the
AERMOD air dispersion model, are used to estimate environmental HAP
concentrations for both the human multipathway screening analysis and
for the environmental screening analysis. Therefore, both screening
assessments have similar modeling uncertainties.
Two important types of uncertainty associated with the use of these
models in RTR environmental screening assessments--and inherent to any
assessment that relies on environmental modeling--are model uncertainty
and input uncertainty.\38\
---------------------------------------------------------------------------
\38\ In the context of this discussion, the term
``uncertainty,'' as it pertains to exposure and risk assessment,
encompasses both variability in the range of expected inputs and
screening results due to existing spatial, temporal and other
factors, as well as uncertainty in being able to accurately estimate
the true result.
---------------------------------------------------------------------------
Model uncertainty concerns whether the selected models are
appropriate for the assessment being conducted and whether they
adequately represent the movement and accumulation of environmental HAP
emissions in the environment. For example, does the model adequately
describe the movement of a pollutant through the soil? This type of
uncertainty is difficult to quantify. However, based on feedback
received from previous EPA Science Advisory Board reviews and other
reviews, we are confident that the models used in the screen are
appropriate and state-of-the-art for the environmental risk assessments
conducted in support of our RTR analyses.
Input uncertainty is concerned with how accurately the models have
been configured and parameterized for the assessment at hand. For Tier
I of the environmental screen for PB-HAP, we configured the models to
avoid underestimating exposure and risk to reduce the likelihood that
the results indicate the risks are lower than they actually are. This
was accomplished by
[[Page 60256]]
selecting upper-end values from nationally-representative data sets for
the more influential parameters in the environmental model, including
selection and spatial configuration of the area of interest, the
location and size of any bodies of water, meteorology, surface water
and soil characteristics and structure of the aquatic food web. In Tier
I, we used the maximum facility-specific emissions for the PB-HAP
(other than lead compounds, which were evaluated by comparison to the
secondary lead NAAQS) that were included in the environmental screening
assessment and each of the media when comparing to ecological
benchmarks. This is consistent with the conservative design of Tier I
of the screen. In Tier II of the environmental screening analysis for
PB-HAP, we refine the model inputs to account for meteorological
patterns in the vicinity of the facility versus using upper-end
national values, and we identify the locations of water bodies near the
facility location. By refining the screening approach in Tier II to
account for local geographical and meteorological data, we decrease the
likelihood that concentrations in environmental media are
overestimated, thereby increasing the usefulness of the screen. To
better represent widespread impacts, the modeled soil concentrations
are averaged in Tier II to obtain one average soil concentration value
for each facility and for each PB-HAP. For PB-HAP concentrations in
water, sediment and fish tissue, the highest value for each facility
for each pollutant is used.
For the environmental screening assessment for acid gases, we
employ a single-tiered approach. We use the modeled air concentrations
and compare those with ecological benchmarks.
For both Tiers I and II of the environmental screening assessment,
our approach to addressing model input uncertainty is generally
cautious. We choose model inputs from the upper end of the range of
possible values for the influential parameters used in the models, and
we assume that the exposed individual exhibits ingestion behavior that
would lead to a high total exposure. This approach reduces the
likelihood of not identifying potential risks for adverse environmental
impacts.
Uncertainty also exists in the ecological benchmarks for the
environmental risk screening analysis. We established a hierarchy of
preferred benchmark sources to allow selection of benchmarks for each
environmental HAP at each ecological assessment endpoint. In general,
EPA benchmarks used at a programmatic level (e.g., Office of Water,
Superfund Program) were used if available. If not, we used EPA
benchmarks used in regional programs (e.g., Superfund Program). If
benchmarks were not available at a programmatic or regional level, we
used benchmarks developed by other agencies (e.g., NOAA) or by state
agencies.
In all cases (except for lead compounds, which were evaluated
through a comparison to the NAAQS), we searched for benchmarks at the
following three effect levels, as described in section III.A.6. of this
notice:
1. A no-effect level (i.e., NOAEL).
2. Threshold-effect level (i.e., LOAEL).
3. Probable effect level (i.e., PEL).
For some ecological assessment endpoint/environmental HAP
combinations, we could identify benchmarks for all three effect levels,
but for most, we could not. In one case, where different agencies
derived significantly different numbers to represent a threshold for
effect, we included both. In several cases, only a single benchmark was
available. In cases where multiple effect levels were available for a
particular PB-HAP and assessment endpoint, we used all of the available
effect levels to help us to determine whether risk exists and if the
risks could be considered significant and widespread.
The EPA evaluates the following seven HAP in the environmental risk
screening assessment: Cadmium, dioxins/furans, POM, mercury (both
inorganic mercury and methyl mercury), lead compounds, HCl and HF,
where applicable. These seven HAP represent pollutants that can cause
adverse impacts for plants and animals either through direct exposure
to HAP in the air or through exposure to HAP that is deposited from the
air onto soils and surface waters. These seven HAP also represent those
HAP for which we can conduct a meaningful environmental risk screening
assessment. For other HAP not included in our screening assessment, the
model has not been parameterized such that it can be used for that
purpose. In some cases, depending on the HAP, we may not have
appropriate multipathway models that allow us to predict the
concentration of that pollutant. The EPA acknowledges that other HAP
beyond the seven HAP that we are evaluating may have the potential to
cause adverse environmental effects and, therefore, the EPA may
evaluate other relevant HAP in the future, as modeling science and
resources allow.
Further information on uncertainties and the Tier I and II
screening methods is provided in Appendix 4 of the document ``Technical
Support Document for TRIM-Based Multipathway Tiered Screening
Methodology for RTR: Summary of Approach and Evaluation.'' Also, see
the Residual Risk Assessment for the Ferroalloys Production Source
Category in Support of the September 2014 Supplemental Proposal,
available in the docket for this action.
B. How did we consider the risk results in making decisions for this
supplemental proposal?
As discussed in section II.A of this preamble, in evaluating and
developing standards under section 112(f)(2), we apply a two-step
process to address residual risk. In the first step, the EPA determines
whether risks are acceptable. This determination ``considers all health
information, including risk estimation uncertainty, and includes a
presumptive limit on maximum individual lifetime [cancer] risk (MIR)
\39\ of approximately [1-in-10 thousand] [i.e., 100-in-1 million].'' 54
FR 38045, September 14, 1989. If risks are unacceptable, the EPA must
determine the emissions standards necessary to bring risks to an
acceptable level without considering costs. In the second step of the
process, the EPA considers whether the emissions standards provide an
ample margin of safety ``in consideration of all health information,
including the number of persons at risk levels higher than
approximately 1-in-1 million, as well as other relevant factors,
including costs and economic impacts, technological feasibility, and
other factors relevant to each particular decision.'' Id. The EPA must
promulgate emission standards necessary to provide an ample margin of
safety.
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\39\ Although defined as ``maximum individual risk,'' MIR refers
only to cancer risk. MIR, one metric for assessing cancer risk, is
the estimated risk were an individual exposed to the maximum level
of a pollutant for a lifetime.
---------------------------------------------------------------------------
In past residual risk actions, the EPA considered a number of human
health risk metrics associated with emissions from the categories under
review, including the MIR, the number of persons in various risk
ranges, cancer incidence, the maximum non-cancer HI and the maximum
acute non-cancer hazard. See, e.g., 72 FR 25138, May 3, 2007; 71 FR
42724, July 27, 2006. The EPA considered this health information for
both actual and allowable emissions. See, e.g., 75 FR 65068, October
21, 2010; 75 FR 80220, December 21, 2010; 76 FR 29032, May 19, 2011.
The EPA also discussed risk estimation uncertainties
[[Page 60257]]
and considered the uncertainties in the determination of acceptable
risk and ample margin of safety in these past actions. The EPA
considered this same type of information in support of this action.
The agency is considering these various measures of health
information to inform our determinations of risk acceptability and
ample margin of safety under CAA section 112(f). As explained in the
Benzene NESHAP, ``the first step judgment on acceptability cannot be
reduced to any single factor'' and thus ``[t]he Administrator believes
that the acceptability of risk under [previous] section 112 is best
judged on the basis of a broad set of health risk measures and
information.'' 54 FR 38046, September 14, 1989. Similarly, with regard
to the ample margin of safety determination, ``the Agency again
considers all of the health risk and other health information
considered in the first step. Beyond that information, additional
factors relating to the appropriate level of control will also be
considered, including cost and economic impacts of controls,
technological feasibility, uncertainties, and any other relevant
factors.'' Id.
The Benzene NESHAP approach provides flexibility regarding factors
the EPA may consider in making determinations and how the EPA may weigh
those factors for each source category. In responding to comment on our
policy under the Benzene NESHAP, the EPA explained that:
``[t]he policy chosen by the Administrator permits consideration
of multiple measures of health risk. Not only can the MIR figure be
considered, but also incidence, the presence of non-cancer health
effects, and the uncertainties of the risk estimates. In this way,
the effect on the most exposed individuals can be reviewed as well
as the impact on the general public. These factors can then be
weighed in each individual case. This approach complies with the
Vinyl Chloride mandate that the Administrator ascertain an
acceptable level of risk to the public by employing [her] expertise
to assess available data. It also complies with the Congressional
intent behind the CAA, which did not exclude the use of any
particular measure of public health risk from the EPA's
consideration with respect to CAA section 112 regulations, and
thereby implicitly permits consideration of any and all measures of
health risk which the Administrator, in [her] judgment, believes are
appropriate to determining what will `protect the public health'.''
See 54 FR at 38057, September 14, 1989. Thus, the level of the MIR is
only one factor to be weighed in determining acceptability of risks.
The Benzene NESHAP explained that ``an MIR of approximately one in 10
thousand should ordinarily be the upper end of the range of
acceptability. As risks increase above this benchmark, they become
presumptively less acceptable under CAA section 112, and would be
weighed with the other health risk measures and information in making
an overall judgment on acceptability. Or, the Agency may find, in a
particular case, that a risk that includes MIR less than the
presumptively acceptable level is unacceptable in the light of other
health risk factors.'' Id. at 38045. Similarly, with regard to the
ample margin of safety analysis, the EPA stated in the Benzene NESHAP
that: ``EPA believes the relative weight of the many factors that can
be considered in selecting an ample margin of safety can only be
determined for each specific source category. This occurs mainly
because technological and economic factors (along with the health-
related factors) vary from source category to source category.'' Id. at
38061. We also consider the uncertainties associated with the various
risk analyses, as discussed earlier in this preamble, in our
determinations of acceptability and ample margin of safety.
The EPA notes that it has not considered certain health information
to date in making residual risk determinations. At this time, we do not
attempt to quantify those HAP risks that may be associated with
emissions from other facilities that do not include the source
categories in question, mobile source emissions, natural source
emissions, persistent environmental pollution or atmospheric
transformation in the vicinity of the sources in these categories.
The agency understands the potential importance of considering an
individual's total exposure to HAP in addition to considering exposure
to HAP emissions from the source category and facility. We recognize
that such consideration may be particularly important when assessing
non-cancer risks, where pollutant-specific exposure health reference
levels (e.g., RfCs) are based on the assumption that thresholds exist
for adverse health effects. For example, the agency recognizes that,
although exposures attributable to emissions from a source category or
facility alone may not indicate the potential for increased risk of
adverse non-cancer health effects in a population, the exposures
resulting from emissions from the facility in combination with
emissions from all of the other sources (e.g., other facilities) to
which an individual is exposed may be sufficient to result in increased
risk of adverse non-cancer health effects. In May 2010, the SAB advised
the EPA ``that RTR assessments will be most useful to decision makers
and communities if results are presented in the broader context of
aggregate and cumulative risks, including background concentrations and
contributions from other sources in the area.'' \40\
---------------------------------------------------------------------------
\40\ EPA's responses to this and all other key recommendations
of the SAB's advisory on RTR risk assessment methodologies (which is
available at: https://yosemite.epa.gov/sab/sabproduct.nsf/
4AB3966E263D943A8525771F00668381/$File/EPA-SAB-10-007-unsigned.pdf)
are outlined in a memo to this rulemaking docket from David Guinnup
entitled, EPA's Actions in Response to the Key Recommendations of
the SAB Review of RTR Risk Assessment Methodologies.
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In response to the SAB recommendations, the EPA is incorporating
cumulative risk analyses into its RTR risk assessments, including those
reflected in this proposal. The agency is: (1) Conducting facility-wide
assessments, which include source category emission points as well as
other emission points within the facilities; (2) considering sources in
the same category whose emissions result in exposures to the same
individuals; and (3) for some persistent and bioaccumulative
pollutants, analyzing the ingestion route of exposure. In addition, the
RTR risk assessments have always considered aggregate cancer risk from
all carcinogens and aggregate non-cancer hazard indices from all non-
carcinogens affecting the same target organ system.
Although we are interested in placing source category and facility-
wide HAP risks in the context of total HAP risks from all sources
combined in the vicinity of each source, we are concerned about the
uncertainties of doing so. Because of the contribution to total HAP
risk from emission sources other than those that we have studied in
depth during this RTR review, such estimates of total HAP risks would
have significantly greater associated uncertainties than the source
category or facility-wide estimates. Such aggregate or cumulative
assessments would compound those uncertainties, making the assessments
too unreliable.
C. How did we perform the technology review?
Our technology review focused on the identification and evaluation
of developments in practices, processes and control technologies that
have occurred since the MACT standards were promulgated. Where we
identified such developments, in order to inform our decision of
whether it is ``necessary'' to revise the emissions standards, we
analyzed the technical feasibility of applying these developments and
the estimated costs,
[[Page 60258]]
energy implications, non-air environmental impacts, as well as
considering the emission reductions. We also considered the
appropriateness of applying controls to new sources versus retrofitting
existing sources.
Based on our analyses of the available data and information, we
identified potential developments in practices, processes and control
technologies. For this exercise, we considered any of the following to
be a ``development'':
Any add-on control technology or other equipment that was
not identified and considered during development of the original MACT
standards.
Any improvements in add-on control technology or other
equipment (that were identified and considered during development of
the original MACT standards) that could result in additional emissions
reduction.
Any work practice or operational procedure that was not
identified or considered during development of the original MACT
standards.
Any process change or pollution prevention alternative
that could be broadly applied to the industry and that was not
identified or considered during development of the original MACT
standards.
Any significant changes in the cost (including cost
effectiveness) of applying controls (including controls the EPA
considered during the development of the original MACT standards).
We reviewed a variety of data sources in our investigation of
potential practices, processes or controls to consider. Among the
sources we reviewed were the NESHAP for various industries that were
promulgated since the MACT standards being reviewed in this action. We
reviewed the regulatory requirements and/or technical analyses
associated with these regulatory actions to identify any practices,
processes and control technologies considered in these efforts that
could be applied to emission sources in the Ferroalloys Production
source category, as well as the costs, non-air impacts and energy
implications associated with the use of these technologies.
Additionally, we requested information from facilities regarding
developments in practices, processes or control technology. Finally, we
reviewed information from other sources, such as state and/or local
permitting agency databases and industry-supported databases.
For the 2011 proposal, our technology review focused on the
identification and evaluation of developments in practices, processes
and control technologies that have occurred since the 1999 NESHAP was
promulgated. In cases where the technology review identified such
developments, we conducted an analysis of the technical feasibility of
applying these developments, along with the estimated impacts (costs,
emissions reductions, risk reductions, etc.) of applying these
developments. We then made decisions on whether it is necessary to
propose amendments to the 1999 NESHAP to require any of the identified
developments. Based on our analyses of the data and information
collected by the 2010 ICR and our general understanding of the industry
and other available information on potential controls for this
industry, we identified several potential developments in practices,
processes and control technologies.
Based on our technology review for the 2011 proposed rule, we
determined that there had been advances in emissions control measures
since the Ferroalloys Production NESHAP was originally promulgated in
1999. Based on that review, we proposed lower PM emissions limits for
the process vents because we determined that the existing add-on
control devices (baghouses and wet venture scrubbers) were achieving
better control than that reflected by the emissions limits in the 1999
MACT rule. Furthermore, based on that previous technology review, to
reduce fugitive process emissions, in 2011 we proposed a requirement
for sources to enclose the furnace building, prevent the fugitive
emissions from being released to the atmosphere by maintaining the
furnace building under negative pressure and collect and duct those
fugitive emissions to a control device. We proposed that approach in
2011, because at that time, we believed it represented a technically-
feasible cost-effective advance in emissions control since the
Ferroalloys Production NESHAP was originally promulgated in 1999.
Additional details regarding the previously-conducted technology review
can be found in the Technology Review for Ferroalloys Production Source
Category (Docket No. EPA-HQ-OAR-2010-0895-0044), which is available in
the docket and are discussed in the preamble to the 2011 proposal (76
FR 72508). However, we received significant adverse public comments
regarding the proposed requirement for full-enclosure with negative
pressure. After reviewing and considering the comments and other
information regarding the costs and feasibility of full-enclosure, we
determined that full-enclosure with negative pressure may not be
feasible for these facilities and, if feasible, would be much more
costly than what we had estimated for the 2011 proposal. Therefore we
evaluated other potential approaches to reduce fugitive process
emissions based on enhanced local capture and control of the fugitive
emissions and secondary capture and control, which are described in
more detail below.
We also gathered additional emissions data for the process vents.
Therefore, we have updated and revised our technology review for the
process vent emissions and fugitive emissions control options. The
following paragraphs describe the up-dated and revised technology
review and additional analyses that were performed for today's
supplemental proposal.
1. Process Vent Emission Limits
The ferroalloy production facilities have add-on control devices
such as venturi scrubbers or fabric filters to control emissions of
metal HAP from the furnace operations. The furnace operations include
charging, smelting and tapping. Other operations that take place inside
the furnace buildings include casting and ladle treatment. The vast
majority of emissions from the charging and smelting processes are
currently vented to the add-on control devices. However, the percent of
emissions currently captured and controlled from tapping, ladle
treatment and casting are considerably lower and varies across
furnaces. The ferroalloy production facilities also use add-on control
devices to reduce emissions from the metal oxygen refining (MOR)
process, local ventilation sources (e.g., tapping fugitive control
device) and the product crushing operations.
To evaluate the effectiveness of these emission control
technologies currently used to reduce emissions and meet the emission
limits in the 1999 MACT rule, an ICR under section 114 of the Clean Air
Act was sent to each of the ferroalloy production facilities on April
28, 2010 and December 21, 2012 to gather source emissions test data and
other information for the furnaces, the MOR process and the product
crushing operations. The HAP source test data that were collected from
the control device outlet for each furnace include: metal HAP (arsenic,
cadmium, chromium (total and Cr\+6\), lead compounds, manganese,
mercury and nickel) \41\, HCl, formaldehyde, PAH,
[[Page 60259]]
PCB and chlorodibenzodioxins and chlorodibenzofurans (CDD/CDF). In
addition, emissions were measured from the furnace control device
outlet for two non-HAP air pollutants (carbon monoxide and particulate
matter). The pollutants measured from the MOR and crushing and sizing
operations in 2010 include particulate matter (PM) and metal HAP
(arsenic, total chromium, lead compounds, manganese, mercury and
nickel).\42\ In addition, the facilities provided compliance test
reports from 2011 and 2012 and additional emissions data they collected
voluntarily, which included test data for PM, metal HAP (arsenic,
cadmium, total chromium, lead compounds, manganese, mercury and nickel)
and organic HAP (PAH, PCB, CDD/CDF) from the furnace control device
outlets.
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\41\ Total phosphorus was also measured for the ICR using EPA
Method 29; however this method does not distinguish between white
phosphorus (which is a non-HAP) and red phosphorus (which is a HAP).
Due to the uncertainty of the percentage of red phosphorus in the
total phosphorus test results, it was concluded that phosphorus
would not be incorporated in the emissions used for modeling.
\42\ Total phosphorus was also measured using Method 29, but was
not used in the technology review.
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The test data collected from the ICR responses, the compliance
reports and other testing indicate that the PM emissions from the
furnace process vents (also known as process stacks) are well below the
level of emissions allowed by the current emission standards in subpart
XXX. In the 2011 proposal, we proposed lower PM limits to reflect the
better performance of these sources. We also proposed lower limits for
the MOR process and the crushing and screening process vents in the
2011 proposal. We did not receive any additional test data for the MOR
process or the crushing and screening process since the 2011 proposal
and have received no other information indicating that changes to the
limits we proposed in 2011 for these sources are necessary, therefore
we plan no changes to the proposed emission standards in this
supplemental proposal for the MOR process and the crushing and
screening processes.
However, for the furnace process vents, we did receive additional
data and based on that data combined with the data we already had, we
evaluated whether it is appropriate to propose revised emissions limits
for PM from the furnace process vents. We also re-evaluated the
proposed emission limits for the local ventilation system based on the
new test data received. Further discussions of the re-evaluations and
the proposed revised limits are presented in Section IV below.
For purposes of addressing new ferroalloy production facilities, we
considered the feasibility of more stringent emission limits.
Specifically, we examined what emission level could be met using
available add-on control devices and the emission concentrations that
could be achieved by the use of the control devices. The results of
this analysis and the proposed decisions are described in Section IV
below.
2. Process Fugitive Control Standards
We re-evaluated the costs and operational feasibility associated
with the option of requiring full building enclosure with negative
pressure at all openings. We also consulted with ventilation experts
working with hot process fugitives like those found in the ferroalloys
industry (e.g., electric arc furnace steel mini-mills and secondary
lead smelters). Furthermore, we received detailed information from each
of the Ferroalloys facilities that provides an alternative approach to
achieve significant reductions of process fugitive emissions using
enhanced local capture, including primary and secondary hoods, which
would effectively capture most of the fugitive process emissions and
route these emissions to a PM control device (e.g., baghouse or wet
scrubber). The plans provided by the facilities are designed to achieve
a high overall level of control. These plans are available in the
docket for this action (identified by document numbers: EPA-HQ-OAR-
2010-0895-0106 and EPA-HQ-OAR-2010-0895-0073).
We also reviewed other options to control process fugitive
emissions. When we consider the evolution of the EPA rules on process
fugitives in the metallurgical industry, we observe that the primary
emphasis on quantifiable emission standards is based on controlling
stack emissions with a high degree of efficiency. Standards related to
emissions capture are generally related to parameter monitoring of flow
rates and damper positions of capture equipment when the stack emission
test is occurring. There typically has not been an independent
evaluation of the effectiveness of process fugitive control through
local ventilation in a quantitative, rigorous manner.
However, there is a history of addressing fugitive emissions by
requiring a building opacity limit, including a 20 percent limit in the
current subpart XXX (although this limit also contains a 60-percent
short-term excursion and it excludes some key process fugitives events
such as casting). Subpart FFFFF of Part 63, National Emission Standards
for Hazardous Air Pollutants for Integrated Iron and Steel
Manufacturing Facilities, contains various building opacity limits
ranging from 20 percent for existing sources to 10 percent for new
sources. Section 60.272a in the Subpart AAa--Standards of Performance
for Steel Plants: Electric Arc Furnaces and Argon-Oxygen
Decarburization Vessels Constructed After August 17, 1983 establishes a
shop building opacity limit of 6 percent, due solely to the operations
of affected electric arc furnace (EAF)(s) or argon-oxygen
decarburization vessel (AOD vessel)(s). Building opacity limits in
these rules serve as an emissions standard for the control of process
fugitive emissions. Opacity limits can ensure effective capture and
control of these fugitive emissions if they are established at the
appropriate levels and have appropriate compliance monitoring
requirements to ensure the fugitive emissions are minimized
continuously over time.
After reviewing and evaluating available information regarding
approaches to reduce process fugitive emissions, we revised our
analysis of options to control these fugitive emissions. The results of
the revised analyses of control options for process fugitive emissions
are summarized in Section IV and also presented in the Cost Impacts of
Control Options to Address Fugitive HAP Emissions for the Ferroalloys
Production NESHAP Supplemental Proposal document and the Revised
Technology Review for the Ferroalloys Production Source Category for
the Supplemental Proposal document (Revised Technology Review
document), which are available in the docket.
IV. Revised Analytical Results and Proposed Decisions for the
Ferroalloys Production Source Category
A. What actions are we taking pursuant to CAA sections 112(d)(2) and
112(d)(3)?
As described previously, CAA section 112(d) requires the EPA to
promulgate national technology-based emission standards for hazardous
air pollutants (NESHAP) for listed source categories, including this
source category. In the 2011 proposal, we proposed emissions limits for
mercury, PAHs and HCl, which were previously unregulated HAP, pursuant
to section 112(d)(2) and 112(d)(3). After proposal, we received a
substantial amount of additional data for these HAP and re-analyzed the
proposed limits for these HAP considering the additional data.
Based on those analyses we determined it is appropriate to propose
revised limits for these three HAP. Therefore, in today's supplemental
notice, we are proposing revised emissions limits pursuant to section
112(d)(2) and 112(d)(3) for mercury, PAHs and HCl. In this section, we
describe how we developed the revised
[[Page 60260]]
proposed standards for these HAP, including how we calculated MACT
floor limits, how we account for variability in those floor
calculations and how we considered beyond the floor (BTF) options. The
revised MACT analyses for these previously unregulated pollutants
(i.e., mercury, PAH and HCl) are presented in the following paragraphs.
For more information on these analyses, see the Revised MACT Floor
Analysis for the Ferroalloys Production Source Category and the Mercury
Control Options and Impacts for the Ferroalloys Production Industry
documents which are available in the docket for this action.
1. How do we develop MACT floor limits?
As discussed in the 2011 proposal (76 FR 72508), the MACT floor
limit for existing sources is calculated based on the average
performance of the best performing units in each category or
subcategory, and also on a consideration of these units' variability,
and the MACT floor for new sources is based on the single best
performing source, with a similar consideration of that source's
variability. The MACT floor for new sources cannot be less stringent
than the emissions performance that is achieved in practice by the
best-controlled similar source. To account for variability in the
operation and emissions, the stack test data were used to calculate the
average emissions and the 99 percent upper predictive limit (UPL) to
derive the MACT floor limits. For more information regarding the
general use of the UPL and why it is appropriate for calculating MACT
floors, see the memorandum titled Use of the Upper Prediction Limit for
Calculating MACT Floors (UPL Memo), which is available in the docket
for this action. Furthermore, with regard to calculation of MACT Floor
limits based on limited datasets, we considered additional factors as
summarized below and described in more details in the memorandum
titled: Approach for Applying the Upper Prediction Limit to Limited
Datasets, which is available in the docket for this action.
2. What is our approach for applying the upper prediction limit to
limited datasets?
The UPL approach addresses variability of emissions data from the
best performing source or sources in setting MACT standards. The UPL
also accounts for uncertainty associated with emission values in a
dataset, which can be influenced by components such as the number of
samples available for developing MACT standards and the number of
samples that will be collected to assess compliance with the emission
limit. The UPL approach has been used in many environmental science
applications.43 44 45 46 47 48 As explained in more detail
in the UPL Memo, the EPA uses the UPL approach to reasonably estimate
the emissions performance of the best performing source or sources to
establish MACT floor standards.
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\43\ Gibbons, R. D. (1987), Statistical Prediction Intervals for
the Evaluation of Ground-Water Quality. Groundwater, 25: 455-465 and
Hart, Barbara F. and Janet Chaseling, Optimizing Landfill Ground
Water Analytes--New South Wales, Australia, Groundwater Monitoring &
Remediation, 2003, 23, 2.
\44\ Wan, Can; Xu, Zhao; Pinson, Pierre; Dong, Zhao Yang; Wong,
Kit Po. Optimal Prediction Intervals of Wind Power Generation. 2014.
IEEE Transactions on Power Systems, ISSN 0885-8950, 29(3): pp. 1166-
1174.
\45\ Khosravi, Abbas; Mazloumi, Ehsan; Nahavandi, Saeid;
Creighton, Doug; van Lint, J. W. C. Prediction Intervals to Account
for Uncertainties in Travel Time Prediction. 2011. IEEE Transactions
on Intelligent Transportation Systems, ISSN 1524-9050, 12(2):537-
547.
\46\ Ashkan Zarnani; Petr Musilek; Jana Heckenbergerova. 2014.
Clustering numerical weather forecasts to obtain statistical
prediction intervals. Meteorological Applications, ISSN 1350-4827.
21(3): 605.
\47\ Rayer, Stefan; Smith, Stanley K; Tayman, Jeff. 2009.
Empirical Prediction Intervals for County Population Forecasts.
Population Research and Policy Review, 28(6): 773-793.
\48\ Nicholas A Som; Nicolas P Zegre; Lisa M Ganio; Arne E
Skaugset. 2012. Corrected prediction intervals for change detection
in paired watershed studies. Hydrological Sciences Journal, ISSN
0262-6667, 57(1): 134-143
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With regard to the derivation of MACT limits using limited
datasets, in a recent D.C. Circuit Court of Appeals decision in
National Association of Clean Water Agencies v. EPA (NACWA), which
involved challenges to EPA's MACT standards for sewage sludge
incinerators, questions were raised regarding the application of the
UPL to limited datasets. We have since addressed these questions, as
explained in detail in the memorandum titled: Approach for Applying the
Upper Prediction Limit to Limited Datasets (i.e., Limited Dataset
Memo), which is available in the docket for this action. We seek
comments on the approach described in the Limited Dataset Memo and
whether there are other approaches we should consider for such
datasets. We also seek comments on the application of this approach for
the derivation of MACT limits based on limited datasets in this
supplemental proposal, which are described in the following sections of
today's notice and in the Limited Dataset Memo.
3. How did we apply the approach for limited datasets to limited
datasets in the ferroalloys source category?
For the ferroalloys source category, we have limited datasets for
the following pollutants and subcategories: PAHs for existing and new
furnaces producing ferromanganese (FeMn); PAHs for new furnaces
producing silicon manganese (SiMn); mercury for new furnaces producing
SiMn; mercury for existing and new furnaces producing FeMn; and HCl for
new furnaces producing FeMn or SiMn. Therefore, we evaluated these
specific datasets to determine whether it is appropriate to make any
modifications to the approach used to calculate MACT floors for each of
these datasets.
For each dataset, we performed the steps outlined in the Limited
Dataset Memo, including: Ensuring that we selected the data
distribution that best represents each dataset; ensuring that the
correct equation for the distribution was then applied to the data; and
comparing individual components of each small dataset to determine if
the standards based on small datasets reasonably represent the
performance of the units included in the dataset. The results of each
analysis are described and presented below in the applicable sections
for each of the three HAP (i.e., mercury, PAHs and HCl). We seek
comments regarding the specific application of the limited dataset
approach used to derive the proposed emissions limits for Hg, PAHs and
HCl described in the sections below.
4. How did we develop proposed limits for mercury emissions?
a. Background on Mercury
As described above, we obtained significant additional data on
mercury emissions from the two ferroalloys production facilities since
the 2011 proposal. In particular, we obtained data from each furnace
and for each product type (ferromanganese and silicomanganese). While
the mercury test data from the 2010 ICR were collected using EPA Method
29 and the mercury test data from the 2012 ICR and other submitted test
reports were collected using EPA Method 30B, the mercury test results
from the two test methods were considered to be comparable and were
used in the MACT Floor analysis. All of the test reports provided
analytical results for mercury that were above the detection limit.
The raw materials used to produce ferroalloys contain various
amounts of mercury, which is emitted during the smelting process. These
mercury emissions are derived primarily from
[[Page 60261]]
the manganese ore although there may be trace amounts in the coke or
coal used in the smelting process. Some of the mercury that is in
oxidized form is captured on the particulate matter (PM) and then
collected in the particle control device (e.g., fabric filter or wet
scrubber). In contrast, most of the gaseous elemental mercury is not
captured by these particulate control devices and is largely emitted to
the atmosphere. Based on the available emissions test data, we estimate
Eramet (which, as noted above, produces FeMn and SiMn) emits about 342
pounds per year of mercury from their furnaces and that Felman, which
produces only SiMn, emits about 35 lb/yr of mercury from their
furnaces. Pursuant to CAA section 112(d)(2) and 112(d)(3), we are
proposing to revise the 1999 NESHAP to include emission limits for
mercury.
b. Calculation of MACT Floor Limits for Mercury
With regard to determining appropriate MACT limits for mercury,
importantly, the new test data confirm that ferromanganese (FeMn)
production has substantially higher mercury emissions compared to
silicomanganese (SiMn) production and that emissions are considerably
higher at Eramet as compared to Felman. This finding is based on an
analysis of the product-specific data sets. Furthermore, we evaluated
differences in the processes and input materials to try to determine
the reasons for the significant difference in mercury emissions. Based
on this evaluation, we have determined the input material recipes for
producing the different products are quite different. In the case of
FeMn production, much more of the Mn ore and high carbon coke are used
to reduce the MnO2 in the ore to Mn to produce FeMn. We
conclude the difference in emissions of mercury is due to the
significant differences in the input materials and recipe for FeMn as
compared to SiMn production.
Because of the significant differences in the input material and
the mercury emissions between FeMn and SiMn, we determined that
subcategories should be created for ferromanganese and silicomanganese
production, with separate MACT limits for mercury proposed for each
ferroalloys product (FeMn and SiMn).
The MACT floor dataset for mercury from existing and new furnaces
producing FeMn includes 6 test runs from a single furnace. As described
above, this dataset (for the calculation of MACT limits for mercury
from furnaces producing FeMn) was considered limited and therefore we
followed the steps described in the Limited Dataset Memo to determine
the appropriate MACT floor limits for mercury for furnaces producing
FeMn. We first determined that the dataset is best represented by a
normal distribution and ensured that we used the correct equation for
the distribution. Because the floor for both existing and new furnaces
is based on the performance of a single unit, our evaluation of the
data was limited to ensuring that the emission limit is a reasonable
estimate of the performance of the unit based on our knowledge about
the process and controls. Accordingly, we compared the calculated
emission limit to the highest measured value and the average short-term
emissions from the unit, and found that the calculated emission limit
is about 2.5 times the short-term average from the unit, which is
within the range that we see when we evaluate larger data sets using
our MACT floor calculation procedures. The fairly wide range in mercury
emissions shown by the available data for this best performing unit
indicate that variability is significant, and we determined that the
emission limit is representative of the actual performance of the unit
upon which the limit is based, considering variability. Therefore, we
determined that no changes to our standard floor calculation procedure
were warranted for this pollutant and subcategory, and we are proposing
that the MACT floor is 170 [micro]g/dscm for Hg from existing furnaces
producing FeMn. We also note that while we calculated the same MACT
floor value for new sources, we are proposing a beyond-the-floor
standard for new sources, which is discussed later in this section of
this preamble.
The MACT floor dataset for mercury from new furnaces producing SiMn
includes 3 test runs from a single furnace (furnace 7 at
Felman) that we identified as the best performing unit based on average
emissions. After determining that the dataset is best represented by a
normal distribution and ensuring that we used the correct equation for
the distribution, we evaluated the variance of this unit (furnace
7 at Felman). Our analysis showed that this unit, identified
as the best unit based on average emissions, also had the lowest
variance, indicating consistent performance. Therefore, we determined
that the emission limit reasonably accounts for variability and that no
changes to the standard floor calculation procedure were warranted for
this pollutant and subcategory, and we are proposing that the MACT
floor is 4.0 [mu]g/dscm for Hg from new furnaces producing SiMn.
With regard to mercury emissions from existing furnaces producing
SiMn, we have 12 test runs in our dataset. This data set was not
determined to be a limited data set. Using the 99 percent UPL method
described above, we calculated the MACT floor limit (or 99 percent UPL)
for exhaust mercury concentrations from existing furnaces producing
SiMn to be 12 [mu]g/dscm.
The MACT floor limits for mercury for existing furnaces are higher
than the actual emissions measured during the ICR performance tests at
each plant due to an allowance for variability reflected in the UPL. We
anticipate that both of the existing sources would be able to meet
these product-specific MACT Floor limits for existing sources without
installing additional controls. Therefore, the costs and reductions for
the MACT floor option were estimated to be zero because we conclude
that the facilities would be able to meet the mercury limits with their
current furnace controls.
The next step in establishing MACT standards is the BTF analysis.
In this step, we investigate other mechanisms for further reducing HAP
emissions that are more stringent than the MACT floor level of control
in order to ``require the maximum degree of reduction in emissions'' of
HAP. In setting such standards, section 112(d)(2) requires the Agency
to consider the cost of achieving the additional emission reductions,
any non-air quality health and environmental impacts and energy
requirements. Historically, these factors have included factors such as
solid waste impacts of a control, effects of emissions on bodies of
water, as well as the energy impacts.
c. Beyond the Floor Analysis for Mercury for Existing Furnaces
As described below, we considered BTF control options to further
reduce emissions of mercury. The BTF mercury control options were
developed assuming sub-categorization of furnace melting operations
into ferromanganese production operations and silicomanganese
production operations and installing activated carbon injection (ACI)
technology with brominated carbon to control mercury emissions.
The BTF mercury limits would be based on the estimated mercury
emission reduction that can be achieved through the use of ACI and
brominated carbon. The bromine in the activated carbon can oxidize
elemental mercury (Hg\0\) to oxidized mercury (Hg\+2\). The oxidized
mercury is then suitable for capture on the activated carbon sorbent
[[Page 60262]]
or further reacts with the bromine to produce mercuric bromide
(HgBr2). Both the oxidized mercury and the mercuric bromide
can be removed using a PM control device. It is generally accepted that
the installation of ACI in conjunction with a fabric filter achieves at
least 90 percent reduction of mercury.\49\
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\49\ Sargent & Lundy, IPM Model--Revisions to Cost and
Performance for APC Technologies, Mercury Control Cost Development,
Final, March 2013.
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All three furnaces at Felman and one of the two furnaces at Eramet
(Furnace 1) are equipped with a fabric filter system to reduce
PM. The other furnace at Eramet (Furnace 12) controls PM using
a wet venturi scrubber. Limited data are available for mercury
reduction using ACI with a venturi scrubber system, as described in the
mercury control options memorandum.\50\ However, we identified one
study conducted by the Minnesota Taconite Mercury Control Advisory
Committee that evaluated mercury reductions from particulate scrubber
systems and ACI.\51\ In 2011, a field trial was conducted at Hibbing
Taconite to demonstrate the effectiveness of brominated ACI in
controlling mercury emissions from a taconite facility. The trial of
the brominated ACI system was conducted in September and October 2011
and it was determined that 75 percent Hg removal could be achieved with
a brominated ACI rate of about 3 lb/MMacf (126 lb/hr) for the taconite
iron ore processing sources. This 75 percent mercury reduction was
demonstrated during a two-week continuous injection run in this study.
The project also noted that better mercury removal results could be
achieved with improved sorbent distribution. Therefore, although the
ferroalloys production furnaces are different than the taconite
production sources, we assume that the retrofit of ACI on the furnace
at Eramet controlled by a wet scrubber would achieve 50 percent
additional mercury reduction beyond the level of control that the
scrubber is currently achieving. Because of the lower potential mercury
reductions expected for brominated carbon ACI and a venturi scrubber
(compared to the reductions that would be achieved with use of ACI with
fabric filters), we determined that a reduction of 50 percent should be
used in establishing the BTF mercury emissions limit to ensure that the
limit could be achieved with brominated ACI on both furnaces at all
times during FeMn production. Therefore, the BTF limit for FeMn
production for existing sources would be 82 [mu]g/dscm.
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\50\ Memorandum from Bradley Nelson, EC/R to Phil Mulrine, EPA
OAQPS/SPPD/MICG, Mercury Control Options and Impacts for the
Ferroalloys Production Industry, March 16, 2014.
\51\ Michael E Berndt, Minnesota Department of Natural
Resources, Division of Lands and Minerals, Minnesota Taconite
Mercury Control Advisory Committee: Summary of Phase One Research
Results (2010-2012), November 29, 2012. https://files.dnr.state.mn.us/lands_minerals/reclamation/berndt_2012_final.pdf.
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We estimated the capital costs, annualized costs, emissions
reductions and cost effectiveness for the BTF limits for FeMn and SiMn
production sources. The details regarding how these limits were derived
and the estimated costs and expected reductions of mercury emissions by
installing ACI controls, are provided in the Mercury Control Options
and Impacts for the Ferroalloys Production Industry document which is
available in the docket.
Regarding the BTF control option for existing sources that produce
ferromanganese, we estimated the costs and reductions based on the
installation of ACI on Furnaces 1 and 12 at Eramet with operation only
during the production of ferromanganese and a polishing baghouse on
Furnace 1. Other costs include labor, materials and waste disposal. The
emissions and annual cost for this BTF control option are based on the
assumption that both furnaces at Eramet produce ferromanganese 50
percent of the time annually and produce SiMn the other 50 percent of
the year. We based this reasonable assumption on available information
regarding production patterns for the 2 products at Eramet. The
estimated mercury reduction that would be achieved at Furnace 1 at
Eramet (which is currently controlled with a baghouse) is assumed to be
90 percent based on the installation of ACI and a new polishing
baghouse. Regarding Furnace 12 at Eramet (which is currently controlled
with a wet venturi scrubber), the mercury reductions that would be
achieved with brominated ACI are assumed to be 50 percent. For the BTF
control option for existing sources that produce ferromanganese, we
estimate the capital costs would be about $30 million, annualized costs
of about $3.3 million and would achieve about 191 pounds per year of
reductions in mercury emissions, which results in estimated cost-
effectiveness of about $17,600 per pound. All the costs and reductions
would be at Eramet since Eramet is the only facility in the U.S. that
produces FeMn.
As stated earlier the cost-effectiveness is estimated to be
$17,600/lb. However, it is important to note that cost-effectiveness is
but one factor we consider in assessing the cost of the emission
reduction at issue here. See NRDC v. EPA, 749 F.3d 1055, 1060 (D.C.
Cir. April 18, 2014) (``Section 112 does not command EPA to use a
particular form of cost analysis.''). We also consider other factors in
assessing the cost of the emission reduction as part of our beyond-the-
floor analysis, including, but not limited to, total capital costs,
annual costs and costs compared to total revenues (e.g., costs to
revenue ratios).
As mentioned above, we estimate the capital costs would be about
$30 million, annualized costs of about $3.3 million and that all these
costs would be for Eramet, which is the only facility in the United
States that produces FeMn. Furthermore, we estimate the annual costs
for BTF controls for mercury at Eramet (in addition to the costs for
controls for fugitive HAP emissions required as part of the risk
analysis explained later in this preamble) would be about 3 percent of
revenues, which we believe is potentially significant given the facts
at issue here. In addition, it is our understanding that for the past
few years the plant has not made any profits. More details regarding
the potential economic impacts of the BTF option are provided in the
Economic Impact Analysis (EIA) for the Manganese Ferroalloys RTR
Supplemental Proposal document which is available in the docket for
this action.
We also evaluated an approach that could reduce the compliance
costs of the BTF option. We considered the possibility that Eramet
could potentially decide to produce FeMn in only one furnace and if so,
would only need to install ACI for 1 furnace. If so, the costs for
Eramet to comply with the BTF option could be significantly lower. This
approach would reduce production flexibility, which could pose
significant production issues for the company, but would allow Eramet
to avoid some of the emissions control costs under the BTF option.
However, we realize there would likely be production issues and other
issues, with this approach. Furthermore, we believe it would be
inappropriate for the rule to essentially restrict production
flexibility. Therefore for our cost impacts analysis of the BTF option
we have assumed brominated ACI would be needed for both furnaces.
Based on the available economic information, assuming market
conditions remain approximately the same, we believe Eramet Marietta
would not be able to sustain the costs of BTF mercury controls (in
addition to the fugitive control costs required as part of the risk
analysis explained later in this
[[Page 60263]]
preamble, in Section IV.C.).\52\ This would likely result in
substantial economic impacts in the short-term and potential closure of
the facility in the longer-term. Since Eramet Marietta is the only
facility in the United States which produces FeMn, closure of this
facility would eliminate 100 percent of the United States production of
FeMn, which is an important product for the steel industry. After
considering all the factors described above, we are not proposing BTF
limits for mercury for FeMn production.
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\52\ As noted in our risk analysis explained later in this
preamble, proposal of the MACT floor standard for mercury (along
with the controls for fugitive manganese emissions, which are
explained later in this preamble) provide an ample margin of safety
to protect public health.
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We also evaluated possible BTF controls for existing SiMn
production sources, which have much lower mercury emissions as compared
to FeMn production. We estimated that the BTF option for SiMn would
achieve an additional 60 pounds/year reductions and that the cost-
effectiveness would be about $109,000 per pound of mercury reduced for
SiMn production, which we conclude is not cost-effective as a BTF
option. Furthermore, based on our economic analyses, we believe that
the Felman facility could be at potential risk of closure under this
option, especially given that these costs would be in addition to the
costs for controlling fugitive HAP metals emissions (such as Mn, As, Ni
and Cd). Therefore, we are not proposing BTF limits for mercury for
SiMn production.
d. Beyond the Floor Analysis for New and Reconstructed Furnaces
Regarding BTF controls for new or major reconstructed furnaces, we
believe such sources would be constructed to include a baghouse as the
primary PM control device (in order to comply with the proposed lower
new source limits for PM) and then they could add ACI after the
baghouse for mercury control along with a polishing baghouse and would
achieve at least 90 percent reduction. Therefore, the BTF limit for new
FeMn production sources is calculated to be 17 [mu]g/dscm. Regarding
SiMn, the BTF limit for new sources producing SiMn would be 1.2 [mu]g/
dscm.
The estimated costs for beyond the floor controls for mercury for
new and reconstructed sources are based on the costs of installing and
operating brominated ACI and a polishing baghouse. Based on this, we
estimate that the cost effectiveness of BTF controls for a new and
major reconstructed FeMn production source would be about $12,000/lb.
Therefore, we conclude that BTF controls would be cost-effective and
feasible for any new or major reconstructed furnace that produces FeMn.
Therefore we are proposing a limit of 17 [mu]g/dscm for new or major
reconstructed furnaces that produce FeMn.
However, for a new SiMn production source, the cost effectiveness
would be at least $51,000/lb. Therefore, we believe BTF controls for
new SiMn production sources would not be cost-effective. Furthermore,
for SiMn production, as described above, the new source MACT floor
limit is already low (i.e., 4.0 [mu]g/dscm). Therefore we are proposing
an emissions limit of 4.0 [mu]g/dscm for new or major reconstructed
SiMn production furnaces based on the new source MACT Floor.
e. Proposed Limits for Existing, New and Reconstructed Sources
Based on all our analyses described above, we are proposing mercury
limits based on the MACT Floor (UPL) for each product type
(ferromanganese, silicomanganese) for existing furnaces; BTF limits for
mercury for new and reconstructed FeMn production furnaces; and mercury
limits for new and reconstructed SiMn production furnaces based on the
MACT Floor. These limits are summarized in Table 4.
Table 4--Summary of the Proposed Mercury Control Emissions Limits ([mu]g/dscm) From the Furnace Melting
Processes
----------------------------------------------------------------------------------------------------------------
FeMn production SiMn production
FeMn production (new and SiMn production (new and
Proposed mercury controls (existing reconstructed (existing reconstructed
sources) sources) sources) sources)
----------------------------------------------------------------------------------------------------------------
MACT Floor limits for FeMn and SiMn 170 17 12 4.0
existing sources; BTF limit for new
and reconstructed FeMn sources; and
MACT floor limit for new and
reconstructed SiMn sources.........
----------------------------------------------------------------------------------------------------------------
5. How did we develop proposed limits for Polycyclic Aromatic
Hydrocarbons (PAHs)?
As described above, we obtained additional data on PAH emissions
from the two ferroalloys production facilities since the 2011 proposal.
In particular, we obtained data from each furnace and for each product
type (FeMn and SiMn). We used the resulting dataset to re-evaluate the
MACT floor limits and BTF options. For more information on this
analysis, see Revised MACT Floor Analysis for the Ferroalloys
Production Source Category, which is available in the docket.
As in the case of the mercury analysis, our results show that there
is a significant difference in PAH emissions during FeMn production as
compared to SiMn production. Furthermore, similar to mercury, we
conclude that this difference is due to significant differences in the
recipe and input materials for FeMn compared to SiMn production.
Therefore, we determined that it would be appropriate to have two
subcategories for PAH emissions and establish separate MACT limits for
each of these two subcategories.
The MACT floor dataset for PAHs from existing furnaces producing
FeMn includes 6 test runs from 2 furnaces. As described above, this
dataset (for the calculation of the MACT Floor limit for PAHs for FeMn
production furnaces) was considered a limited dataset and therefore we
followed the steps described in the Limited Dataset Memo to determine
the appropriate MACT Floor limit for PAHs for these sources. This
subcategory includes only two units, and the CAA specifies that the
existing source MACT floor for subcategories with fewer than 30 sources
shall not be less stringent than ``the average emission limitation
achieved by the best performing 5 sources.'' However, since there are
only 2 units in the subcategory and we have data for both units, the
data from both units serve as the basis for the MACT floor. After
determining that the dataset is best represented by a normal
distribution and ensuring that we used
[[Page 60264]]
the correct equation for the distribution, we considered the selection
of a lower confidence level for determining the emission limit by
evaluating whether the calculated limit reasonably represents the
performance of the units upon which it is based. In this case, where
two units make up the pool of best performers, the calculated emission
limit is about twice the short-term average emissions from the best
performing sources, indicating that the emission limit is not
unreasonable compared to the actual performance of the units upon which
the limit is based and is within the range that we see when we evaluate
larger datasets using our MACT floor calculation procedures. Therefore,
we determined that no changes to our standard floor calculation
procedure are warranted for this pollutant and subcategory, and we are
proposing that the MACT floor is 1,400 [mu]g/dscm for PAHs from
existing furnaces producing FeMn.
The MACT floor dataset for PAHs from new furnaces producing FeMn
includes 3 test runs from a single furnace (furnace 12 at
Eramet) that we identified as the best performing unit based on average
emissions performance. After determining that the dataset is best
represented by a normal distribution and ensuring that we used the
correct equation for the distribution, we evaluated the variance of the
best performing unit. Our analysis showed that this unit, which was
identified as the best unit based on average emissions, also had the
lowest variance. Therefore, we determined that the emission limit would
reasonably account for variability and that no changes to the standard
floor calculation procedure were warranted for this pollutant and
subcategory, and we are proposing that the MACT floor is 880 [mu]g/dscm
for PAHs from new furnaces producing FeMn.
The MACT floor dataset for PAHs initially identified for new
furnaces producing SiMn includes 6 test runs from a single furnace
(furnace 2 at Felman) that we identified as the best
performing unit based on average emissions. After determining that the
dataset is best represented by a normal distribution and ensuring that
we used the correct equation for the distribution, we evaluated the
variance of this unit (furnace 2 at Felman) and concluded that
further consideration of the variance was warranted. In particular, we
noted that the variance of the dataset for this unit was almost twice
as large as the variance of the dataset for the pool of best performing
units that was used to calculate the existing source MACT floor. The
high degree of variance in the dataset for the unit with the lowest
average prompted us to question whether this unit was, in fact, the
best performing unit and to evaluate the dataset for the unit with the
next lowest average (furnace 7 at Felman). The dataset for
furnace 7 includes 3 test runs, the furnaces are controlled
with the same type of add-on control technology, and the average
emissions from furnace 2 are only about 22 percent lower than
the average emissions from furnace 7. While we find the
average performance of these 2 units to be similar, the unit with the
higher average has a variance more than 2 orders of magnitude lower
than that of the unit with the lower average, thus indicating that the
unit with the higher average has a far more consistent level of
performance. The combination of components from the unit with the
higher average (furnace 7) yields an emissions limit that is
lower than that calculated from the dataset of the unit (furnace
2) with the lowest average (71.7 versus 132.8 [mu]g/dscm). For
these reasons, we determined that the unit with the lowest average
(furnace 2) is not the best performing source for this
pollutant and we are instead selecting furnace 7 as the best
performing source. After selecting the source upon which the new source
limit would be based, we next considered whether the selection of a
different confidence level would be appropriate. In this case, we
determined that a lower confidence level was not warranted given the
small amount of variability in the data for the unit that we identified
as the best performer. Based on the factors outlined above, we are
proposing that the MACT floor is 72 [mu]g/dscm for PAHs from new
furnaces producing SiMn.
With regard to PAH emissions from existing furnaces producing SiMn,
we have 18 test runs in our dataset. This dataset was not determined to
be a limited data set. The UPL results for this dataset using a 99
percent confidence level was determined to be 120 [mu]g/dscm for SiMn
production and was determined to be the MACT floor limit for PAHs for
existing furnaces producing SiMn.
Based on the data we received prior to summer 2014, we estimate
that neither source would need to install additional controls to meet
the MACT Floor emission limits described above. However, as mentioned
in Section II.D of today's notice, we received additional PAH data in
August 2014. We have not yet completed our review and technical
analyses of those new data, and have not yet incorporated these new
data into our analyses. Nevertheless, we are seeking comments regarding
the new PAH data and how these data could affect our analyses.
The current PM controls on both facilities capture some of PAH
emissions. Nevertheless, we also considered BTF options for control of
PAH emissions based on the additional reductions that could be achieved
via control with ACI. Based on information from carbon vendors, an
activated carbon system that is designed to achieve up to 90 percent
reduction in mercury emissions should also achieve significant
reductions in PAH with no additional costs. However, significant
uncertainties remain regarding the percent of reductions in PAHs that
would be achieved with ACI. One study \53\ found that ACI can achieve
74-91 percent reduction in PAH emissions depending on the concentration
of activated carbon in the flue gas. Based on this information, we
assume that ACI probably can achieve 75 percent reduction in PAH
emissions from the furnace. Therefore, for our analysis of BTF options,
we assumed an ACI system can achieve 75 percent reduction of PAH
emissions from the furnace exhaust. Based on this assumption, possible
BTF limits for PAHs would be 340 [mu]g/dscm for FeMn production
furnaces and 28 [mu]g/dscm for SiMn production furnaces. The estimated
capital and annualized costs to achieve these BTF PAH limits are the
same costs as those shown for mercury in the mercury control options
memorandum. For FeMn production, the capital cost was calculated to be
$30.2 million and the annual cost was calculated to be $3.4 million and
would only apply to the furnaces at Eramet and the estimated PAH
reductions would be 2.35 tons per year, which results in cost-
effectiveness of $1.4 million per ton of PAH. The capital cost for a
beyond the floor PAH option for SiMn and FeMn production was calculated
to be $41.7 million with an annual cost of $6.9 million and the
estimated PAH reductions would be 4.0 tons per year, which results in
cost-effectiveness of $1.7 million per ton, which we conclude is not
cost-effective for PAHs. Given the uncertainties regarding the percent
of PAH reductions that can be achieved with ACI and since the cost-
effectiveness is relatively high for this HAP, we are not proposing BTF
limits for PAHs. Instead, we have determined that it is appropriate to
propose PAH limits based on the MACT Floor level of control, therefore
we are proposing a MACT limit of 1,400 [mu]g/
[[Page 60265]]
dscm for PAHs for existing FeMn production furnaces and 880 [mu]g/dscm
for PAHs for new and reconstructed FeMn production furnaces and we are
proposing a MACT floor limit of 120 [mu]g/dscm for PAHs for existing
SiMn production furnaces and 72 [mu]g/dscm for PAHs for new and
reconstructed SiMn production furnaces.
---------------------------------------------------------------------------
\53\ Hong-Cang Zhou, Zhao-Ping Zhong, Bao-Sheng Jin, Ya-Ji Huang
and Rui Xiao, Experimental study on the removal of PAHs using in-
duct activated carbon injection, Chemosphere, November 17, 2004.
Table 5--Proposed Emissions Limits ([mu]g/dscm) for PAHs From the Furnace Melting Processes
----------------------------------------------------------------------------------------------------------------
FeMn SiMn
FeMn production SiMn production
production (new and production (new and
(existing reconstructed (existing reconstructed
sources) sources) sources) sources)
----------------------------------------------------------------------------------------------------------------
Proposed Emissions Limits for PAHs.............. 1400 880 120 72
----------------------------------------------------------------------------------------------------------------
6. How did we develop limits for hydrochloric acid (HCl)?
Like mercury and PAH, we obtained additional HCl test data since
proposal. However, more than half the test results (20 of the 36 test
runs) were below the detection limit. This situation required the use
of additional statistical analysis, as described in the Revised MACT
Floor Analysis for the Ferroalloys Production Source Category, which is
available in the docket. We determined the data set for HCl from
furnace outlets has a non-normal distribution. The non-normal
distribution of the data is a result of the mix of analytical results
reported above and below the detection limit and is not due to the type
of product being produced (FeMn or SiMn) in the furnace. Therefore, for
HCL we are not establishing subcategories based on product. An equation
for log-normally distributed data was used to determine the UPL of the
HCl dataset for both FeMn and SiMn production combined. The UPL for the
log-normal dataset was calculated to be 1,100 [mu]g/dscm. Because more
than half of the dataset were reported below the detection limit, using
EPA procedures, three times the representative method detection level
(RDL) for HCl (180 [mu]g/dscm), was compared to the calculated UPL. The
calculated UPL was higher and, thus, was selected as the MACT floor
limit for existing furnaces. At this level, we expect neither source
would need to install additional controls to meet the MACT floor
emission limits.
The MACT floor dataset for HCl from new furnaces producing FeMn or
SiMn includes 6 test runs from a single furnace (furnace 5 at
Felman) that we identified as the best performing unit based on average
emissions. As described above, this dataset (for the calculation of the
new source limit for HCL) was considered a limited dataset and
therefore we followed the steps described in the Limited Dataset Memo
to determine the appropriate MACT Floor limit for HCl for new furnaces.
After determining that the dataset is best represented by a non-normal
distribution and ensuring that we used the correct equation for the
distribution, we evaluated the variance of this best performing unit.
Our analysis showed that this unit, identified as the best unit based
on average emission, also had the lowest variance, indicating
consistent performance. Therefore, we determined that the emission
limit reasonably accounts for variability and that no changes to the
standard floor calculation procedure were warranted for this pollutant
and subcategory. We also note that for this standard, the calculated
new source floor level was below the level that can be accurately
measured (the level that we refer to as ``3 times the representative
detection level'' or 3xRDL). Therefore, we are proposing a new source
MACT emission limit of 180 ppm for HCl, which is the 3xRDL value for
HCl.
No facilities in the source category use add-on control devices or
work practices to limit emissions of HCl beyond what is normally
achieved as co-control of the emissions with particulate matter control
device. Also, as explained above, there are a significant number of
non-detects for HCl. Thus, emissions are already low. Nevertheless, we
evaluated possible beyond the floor options to further reduce HCl to
ensure our analyses were complete. The BTF analyses are described in
the Revised MACT Floor Analysis for the Ferroalloys Production Source
Category document which is available in the docket. We did not identify
any appropriate BTF options for HCl.
Given the low emissions of HCl and the results of our analyses, we
are not proposing beyond the floor limits for HCl. Therefore, in this
supplemental proposal, we are proposing emission limits for HCl of
1,100 [mu]g/dscm for existing furnaces and 180 [mu]g/dscm for new or
reconstructed furnaces, which are at the level of the MACT floors.
Table 6--Proposed Emissions Limits ([micro]g/dscm) for HCl From the
Furnace Melting Processes
------------------------------------------------------------------------
FeMn and FeMn and SiMn
SiMn production
production (new and
(existing reconstructed
sources) sources)
------------------------------------------------------------------------
Proposed Emissions Limits for HCl............ 1100 180
------------------------------------------------------------------------
B. What are the results of the risk assessment and analyses?
1. Inhalation Risk Assessment Results
Table 7 of this preamble provides an overall summary of the results
of the inhalation risk assessment.
Table 7--Ferroalloys Production Source Category Inhalation Risk Assessment Results
----------------------------------------------------------------------------------------------------------------
Estimated
Estimated Population Annual Cancer Maximum Maximum Screening
Maximum Individual Cancer Risk (- at Increased Risk Incidence Chronic Non- Acute Non-cancer HQ
in-1 million) \a\ Levels of Cancer (cases per cancer TOSHI \c\
year) \b\
----------------------------------------------------------------------------------------------------------------
Actual Emissions
>= 1-in-1 million:
31,000.
20................................ >= 10-in-1 million: 0.002 4 HQREL = 1 (arsenic
400. compounds,
hydrofluoric acid,
formaldehyde)
[[Page 60266]]
>= 100-in-1 million:
0.
Allowable Emissions \d\
>= 1-in-1 million:
94,000.
100............................... >= 10-in-1 million: 0.005 40 --
2,500.
>= 100-in-1 million:
0.
----------------------------------------------------------------------------------------------------------------
\a\ Estimated maximum individual excess lifetime cancer risk due to HAP emissions from the source category.
\b\ Maximum TOSHI. The target organ with the highest TOSHI for the Ferroalloys Production source category for
both actual and allowable emissions is the neurological system. The estimated population at increased levels
of noncancer hazard is 1,500 based on actual emissions and 11,000 based on allowable emissions.
\c\ See Section III.A.3 of this notice for explanation of acute dose-response values. Acute assessments are not
performed on allowable emissions.
\d\ The development of allowable emission estimates can be found in the memorandum titled Revised Development of
the RTR Emissions Dataset for the Ferroalloys Production Source Category for the 2014 Supplemental Proposal,
which is available in the docket.
The inhalation risk modeling performed to estimate risks based on
actual and allowable emissions relied primarily on emissions data from
the ICRs and calculations described in the Emissions Memo. The results
of the chronic baseline inhalation cancer risk assessment indicate
that, based on estimates of current actual emissions, the maximum
individual lifetime cancer risk (MIR) posed by the ferroalloys
production source category is 20-in-1 million, with chromium compounds,
PAHs and nickel compounds from tapping fugitives, furnace fugitives and
a furnace accounting for 70 percent of the MIR. The total estimated
cancer incidence from ferroalloys production sources based on actual
emission levels is 0.002 excess cancer cases per year or one case every
500 years, with emissions of PAH, chromium compounds and cadmium
compounds contributing 42 percent, 18 percent and 15 percent,
respectively, to this cancer incidence. In addition, we note that
approximately 400 people are estimated to have cancer risks greater
than or equal to 10-in-1 million, and approximately 31,000 people are
estimated to have risks greater than or equal to 1-in-1 million as a
result of actual emissions from this source category.
When considering MACT-allowable emissions, the maximum individual
lifetime cancer risk is estimated to be up to 100-in-1 million, driven
by emissions of arsenic compounds and cadmium compounds from the MOR
process baghouse outlet. The estimated cancer incidence is estimated to
be 0.005 excess cancer cases per year or one excess case in every 200
years. Approximately 2,500 people are estimated to have cancer risks
greater than or equal to 10-in-1 million and approximately 94,000
people are estimated to have cancer risks greater than or equal to 1-
in-1 million considering allowable emissions from ferroalloys
facilities.
The risk results described in this section and shown in Table 7 are
based on the emissions data received prior to summer 2014. These
results do not reflect the new PAH, PM or mercury data we received in
August 2014 (as described in Section II.D. in this notice). We seek
comment on the new data, which are available in the docket for today's
action, and how these additional data would impact the risk assessment.
The maximum modeled chronic non-cancer HI (TOSHI) value for the
source category based on actual emissions is estimated to be 4, with
manganese emissions from tapping fugitives accounting for 93 percent of
the HI. Approximately 1,500 people are estimated to have exposure to HI
levels greater than 1 as a result of actual emissions from this source
category. When considering MACT-allowable emissions, the maximum
chronic non-cancer TOSHI value is estimated to be 40, driven by
allowable emissions of manganese from the MOR process baghouse outlet.
Approximately 11,000 people are estimated to have exposure to HI levels
greater than 1 considering allowable emissions from these ferroalloys
facilities.
2. Acute Risk Results
Our screening analysis for worst-case acute impacts based on actual
emissions indicates the potential for three pollutants--arsenic
compounds, formaldehyde, and hydrofluoric acid--to have HQ values of 1,
based on their respective REL value. Both facilities have estimated HQs
of 1 for these pollutants.
To better characterize the potential health risks associated with
estimated worst-case acute exposures to HAP from the source category at
issue and in response to a key recommendation from the SAB's peer
review of the EPA's section 112(f) RTR risk assessment methodologies,
we examine a wider range of available acute health metrics than we do
for our chronic risk assessments. This is in acknowledgement that there
are generally more data gaps and inconsistencies in acute reference
values than there are in chronic reference values. By definition, the
acute CalEPA REL represents a health-protective level of exposure, with
no risk anticipated below those levels, even for repeated exposures;
however, the health risk from higher-level exposures is unknown.
Therefore, when a CalEPA REL is exceeded and an AEGL-1 or ERPG-1 level
is available (i.e., levels at which mild effects are anticipated in the
general public for a single exposure), we have used them as a second
comparative measure. Historically, comparisons of the estimated maximum
off-site 1-hour exposure levels have not been typically made to
occupational levels for the purpose of characterizing public health
risks in RTR assessments. This is because occupational ceiling values
are not generally considered protective for the general public since
they are designed to protect the worker population (presumed healthy
adults) for short-duration (less than 15-minute) increases in exposure.
As a result, for most chemicals, the 15-minute occupational ceiling
values are set at levels higher than a 1-hour AEGL-1, making
comparisons to them irrelevant unless the AEGL-1 or ERPG-1 levels are
also exceeded.
All the HAP in this analysis have worst-case acute HQ values of 1
or less, indicating that they carry no potential to pose acute
concerns. In characterizing
[[Page 60267]]
the potential for acute non-cancer impacts of concern, it is important
to remember the upward bias of these exposure estimates (e.g., worst-
case meteorology coinciding with a person located at the point of
maximum concentration during the hour) and to consider the results
along with the conservative estimates used to develop peak hourly
emissions as described earlier, as well as the screening methodology.
Refer to the document titled Revised Development of the RTR Emissions
Dataset for the Ferroalloys Production Source Category for the 2014
Supplemental Proposal (which is available in the docket for this
action) for a detailed description of how the hourly emissions were
developed for this source category.
3. Multipathway Risk Screening Results
Results of the worst-case Tier I screening analysis indicate that
PB-HAP emissions (based on estimates of actual emissions) from one or
both facilities in this source category exceed the screening emission
rates for cadmium compounds, mercury compounds, dioxins and PAH. For
the compounds and facilities that did not screen out at Tier I, we
conducted a Tier II screen. The Tier II screen replaces some of the
assumptions used in Tier I with site-specific data, including the land
use around the facilities, the location of fishable lakes and local
wind direction and speed. The Tier II screen continues to rely on high-
end assumptions about consumption of local fish and locally grown or
raised foods (adult female angler at 99th percentile consumption for
fish \54\ and 90th percentile for consumption of locally grown or
raised foods \55\) and uses an assumption that the same individual
consumes each of these foods in high end quantities (i.e., that an
individual has high end ingestion rates for each food). The result of
this analysis was the development of site-specific emission rate
screening levels for each PB-HAP. It is important to note that, even
with the inclusion of some site-specific information in the Tier II
analysis, the multi-pathway screening analysis is still a very
conservative, health-protective assessment (e.g., upper-bound
consumption of local fish, locally grown and/or raised foods) and in
all likelihood will yield results that serve as an upper-bound multi-
pathway risk associated with a facility.
---------------------------------------------------------------------------
\54\ Burger, J. 2002. Daily consumption of wild fish and game:
Exposures of high end recreationists. International Journal of
Environmental Health Research 12:343-354.
\55\ U.S. EPA. Exposure Factors Handbook 2011 Edition (Final).
U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-09/
052F, 2011.
---------------------------------------------------------------------------
While the screening analysis is not designed to produce a
quantitative risk result, the factor by which the emissions exceed the
screening level serves as a rough gauge of the ``upper-limit'' risks we
would expect from a facility. Thus, for example, if a facility emitted
a PB-HAP carcinogen at a level 2 times the screening level, we can say
with a high degree of confidence that the actual maximum cancer risks
will be less than 2-in-1 million. Likewise, if a facility emitted a
noncancer PB-HAP at a level 2 times the screening level, the maximum
noncancer hazard would represent an HQ less than 2. The high degree of
confidence comes from the fact that the screens are developed using the
very conservative (health-protective) assumptions that we describe
above.
Based on the Tier II screening analysis, no facility emits cadmium
compounds above the Tier II screening levels. One facility emits
mercury compounds above the Tier II screening levels and exceeds that
level by a factor of 9. Both facilities emit chlorinated dibenzodioxins
and furans (CDDF) as 2,3,7,8-tetrachlorodibenzo-p-dioxin toxicity
equivalent (TEQ) above the Tier II screening levels and the facility
with the highest emissions of dioxins exceeds its Tier II screening
level by a factor of 20. Both facilities emit POM as benzo(a)pyrene TEQ
above the Tier II screening levels and the facility with the highest
emissions exceeds its screening level by a factor of 20.
Polychlorinated biphenyls (PCB) are PB-HAP that do not currently
have multi-pathway screening values and so are not evaluated for
potential non-inhalation risks. These HAP however, are not emitted in
appreciable quantities (estimated to be 0.00026 tpy) from the
ferroalloys source category and we do not believe they contribute to
multi-pathway risks for this source category.
Results of the analysis for lead indicate that based on the
baseline, actual emissions, the maximum annual off-site ambient lead
concentration was only 50 percent of the NAAQS for lead and if the
total annual emissions occurred during a 3-month period, the maximum 3-
month rolling average concentrations would exceed the NAAQS. However,
as shown later in this preamble, based on emissions estimated for the
post-control scenario, the maximum annual off-site ambient lead
concentration was only 3 percent of the NAAQS for lead. If the total
annual emissions occurred during a 3-month period, the maximum 3-month
rolling average concentrations would be about 12 percent of the NAAQS
for lead, indicating that there is no concern for multi-pathway risks
due to lead emissions.
4. Multipathway Refined Risk Results
A refined multipathway analysis was conducted for one facility in
this source category using the TRIM.FaTE model. The facility, Eramet
Marietta Incorporated, in Marietta, Ohio, was selected based upon its
close proximity to nearby lakes and farms as well as having the highest
potential multipathway risks for three of the four PB-HAP based on the
Tier II analysis. These three PB-HAP were cadmium, mercury and PAHs.
(Even though neither facility exceeded the Tier II screening levels for
cadmium, Eramet had the higher value.) Eramet also emits dioxins, but
the other facility had a higher exceedance of its Tier II screening
level. The refined analysis was conducted on all four PB-HAP. The
refined analysis for this facility showed that the Tier II screen for
each pollutant over-predicted the potential risk when compared to the
refined analysis results.
Overall, the refined analysis predicts a potential lifetime cancer
risk of 10-in-1 million to the maximum most exposed individual due to
exposure to dioxins and PAHs. The non-cancer HQ is predicted to be
below 1 for cadmium compounds and 1 for mercury compounds.
Further details on the refined multipathway analysis can be found
in Appendix 10 of the Residual Risk Assessment for the Ferroalloys
Production Source Category in Support of the September 2014
Supplemental Proposal, which is available in the docket.
5. Environmental Risk Screening Results
As described in Section III.A, we conducted an environmental risk
screening assessment for the ferroalloys source category. In the Tier I
screening analysis for PB-HAP the individual modeled Tier I
concentrations for one facility in the source category exceeded some
sediment, fish--avian piscivorus and surface soil benchmarks for PAHs,
methylmercury and mercuric chloride. Therefore, we conducted a Tier II
assessment.
In the Tier II screening analysis for PAHs and methylmercury none
of the individual modeled concentrations for any facility in the source
category exceeded any of the ecological benchmarks (either the LOAEL or
NOAEL). For mercuric chloride, soil benchmarks were exceeded for some
individual modeled points that collectively accounted for 5 percent of
the modeled area. However, the
[[Page 60268]]
weighted average modeled concentration for all soil parcels was well
below the soil benchmarks.
For HCl, each individual concentration (i.e., each off-site data
point in the modeling domain) was below the ecological benchmarks for
all facilities. The average modeled HCl concentration around each
facility (i.e., the average concentration of all off-site data points
in the modeling domain) did not exceed any ecological benchmark.
6. Facility-Wide Risk Assessment Results
For both facilities in this source category, there are no other HAP
emissions sources present beyond those included in the source category.
Therefore, we conclude that the facility-wide risk is the same as the
source category risk and that no separate facility-wide analysis is
necessary.
7. Demographic Analysis Results
To examine the potential for any environmental justice (EJ) issues
that might be associated with the source category, we performed a
demographic analysis, which is an assessment of risks to individual
demographic groups, of the population close to the facilities. In this
analysis, we evaluated the distribution of HAP-related cancer risks and
non-cancer hazards from the ferroalloys production source category
across different social, demographic and economic groups within the
populations living near facilities identified as having the highest
risks. The methodology and the results of the demographic analyses are
included in a technical report, Risk and Technology Review--Analysis of
Socio-Economic Factors for Populations Living Near Ferroalloys
Facilities, which is available in the docket for this action.
The results of the demographic analysis are summarized in Table 8
below. These results, for various demographic groups, are based on the
estimated risks from actual emissions levels for the population living
within 50 km of the facilities.
Table 8--Ferroalloy Production Demographic Risk Analysis Results
----------------------------------------------------------------------------------------------------------------
Population with cancer Population with chronic
risk at or above 1-in-1 hazard index above 1
Nationwide million due to due to ferroalloys
ferroalloys production production
----------------------------------------------------------------------------------------------------------------
Total Population..................... 312,861,265 31,283 1,521
----------------------------------------------------------------------------------------------------------------
Race by Percent
----------------------------------------------------------------------------------------------------------------
White................................ 72 96 99
All Other Races...................... 28 4 1
----------------------------------------------------------------------------------------------------------------
Race by Percent
----------------------------------------------------------------------------------------------------------------
White................................ 72 96 99
African American..................... 13 1 0
Native American...................... 1 0 0
Other and Multiracial................ 14 2 1
----------------------------------------------------------------------------------------------------------------
Ethnicity by Percent
----------------------------------------------------------------------------------------------------------------
Hispanic............................. 17 1 1
Non-Hispanic......................... 83 99 99
----------------------------------------------------------------------------------------------------------------
Income by Percent
----------------------------------------------------------------------------------------------------------------
Below Poverty Level.................. 14 15 7
Above Poverty Level.................. 86 85 93
----------------------------------------------------------------------------------------------------------------
Education by Percent
----------------------------------------------------------------------------------------------------------------
Over 25 and without High School 15 11 11
Diploma.............................
Over 25 and with a High School 85 89 89
Diploma.............................
----------------------------------------------------------------------------------------------------------------
The results of the ferroalloys production source category
demographic analysis indicate that emissions from the source category
expose approximately 31,000 people to a cancer risk at or above 1-in-1
million and approximately 1,500 people to a chronic non-cancer TOSHI
greater than 1 (we note that many of those in the first risk group are
the same as those in the second). The percentages of the at-risk
population in each demographic group (except for White and non-
Hispanic) are similar to or lower than their respective nationwide
percentages. Implementation of the provisions included in this proposal
is expected to significantly reduce the number of people estimated to
have a cancer risk greater than 1-in-1 million due to HAP emissions
from these sources from 31,000 people to about 6,600 people.
Implementation of the provisions included in the proposal also is
expected to reduce the number of people estimated to have a chronic
non-cancer TOSHI greater than 1 from 1,500 people to no people with a
TOSHI greater than 1.
C. What are our proposed decisions regarding risk acceptability, ample
margin of safety and adverse environmental effects based on our revised
analyses?
1. Risk Acceptability
As noted in Section II.A.1 of this preamble, the EPA sets standards
under CAA section 112(f)(2) using ``a two-step standard-setting
approach, with an analytical first step to determine an `acceptable
risk' that considers all health information, including risk estimation
uncertainty and includes a presumptive limit on maximum individual
lifetime risk (MIR) of
[[Page 60269]]
approximately 1 in 10 thousand\[\\56\\]\.'' (54 FR 38045, September 14,
1989).
---------------------------------------------------------------------------
\56\ 1-in-10 thousand is equivalent to 100-in-1 million. The EPA
currently describes cancer risks as `n-in-1 million.'
---------------------------------------------------------------------------
In this proposal, the EPA estimated risks based on both actual and
allowable emissions from ferroalloy facilities. In determining
acceptability, we considered risks based on both actual and allowable
emissions.
a. Estimated Risks From Actual Emissions
The baseline inhalation cancer risk to the individual most exposed
to emissions from sources in the ferroalloys source category is 20-in-1
million based on actual emissions. The estimated incidence of cancer
due to inhalation exposures is 0.002 excess cancer cases per year, or 1
case every 500 years. Approximately 31,000 people face an increased
cancer risk greater than 1-in-1 million due to inhalation exposure to
actual HAP emissions from this source category and approximately 400
people face an increased risk greater than 10-in-1 million and up to
20-in-1 million. The agency estimates that the maximum chronic non-
cancer TOSHI from inhalation exposure is 4, with manganese emissions
from tapping fugitives accounting for a large portion (93 percent) of
the HI.
The Tier II multipathway screening analysis of actual emissions
indicated the potential for PAH emissions that are about 20 times the
screening level for cancer, dioxin emissions that are about 20 times
the screening level for cancer and mercury emissions that are 9 times
above the screening level for non-cancer.
As noted above, the Tier II multipathway screen is conservative in
that it incorporates many health-protective assumptions. For example,
the EPA chooses inputs from the upper end of the range of possible
values for the influential parameters used in the Tier II screen and
assumes that the exposed individual exhibits ingestion behavior that
would lead to a high total exposure. A Tier II exceedance cannot be
equated with a risk value or a HQ or HI. Rather, it represents a high-
end estimate of what the risk or hazard may be. For example, an
exceedance of 2 for a non-carcinogen can be interpreted to mean that we
have high confidence that the HI would be lower than 2. Similarly, an
exceedance of 30 for a carcinogen means that we have high confidence
that the risk is lower than 30-in-1-million. Confidence comes from the
conservative, or health-protective, assumptions that are used in the
Tier II screen.
The refined multipathway analysis that the EPA conducted for one
specific facility showed that the Tier II screen for each pollutant
over-predicted the potential risk when compared to the refined analysis
results. That refined multipathway assessment showed that the Tier II
screen resulted in estimated risks that are higher than the risks
estimated by the refined analysis by 3 times for PAH, 2 times for
dioxins, and 6 times for cadmium. The HQ for mercury went from 9 in
Tier II to 1.
The screening assessment of worst-case acute inhalation impacts
from baseline actual emissions indicates that all pollutants have HQ
values of 1 or less, based on their respective REL values. Considering
the conservative, health-protective nature of the approach that is used
to develop these acute estimates, it is highly unlikely that an
individual would have an acute exposure above the REL. Specifically,
the analysis is based on the assumption that worst-case emissions and
meteorology would coincide with a person being at the exact location of
maximum impact for a period of time long enough to have an exposure
level above the conservative REL value. The fact that the facilities in
this source category are not located in areas that naturally lead to
people being near the fence line for periods of time indicates that the
exposure scenario used in the screening assessment would be unlikely to
occur.
b. Estimated Risks From Allowable Emissions
The EPA estimates that the baseline inhalation cancer risk to the
individual most exposed to emissions from sources in the ferroalloys
source category is up to 100-in-1 million based on allowable emissions,
with arsenic and cadmium emissions driving the risks. The EPA estimates
that the incidence of cancer due to inhalation exposures could be up to
0.005 excess cancer cases per year, or 1 case approximately every 200
years. About 94,000 people could face an increased cancer risk greater
than 1-in-1 million due to inhalation exposure to allowable HAP
emissions from these source categories and approximately 2,500 people
could face an increased risk greater than 10-in-1 million and up to
100-in-1 million due to allowable emissions.
The risk assessment estimates that the maximum chronic non-cancer
TOSHI from inhalation exposure values is up to 40, driven by allowable
manganese emissions. Approximately 11,000 people are estimated to have
exposure to HI levels greater than 1.
c. Acceptability Determination
In determining whether risks are acceptable for this source
category, the EPA considered all available health information and risk
estimation uncertainty as described above.
The risk results indicate that the allowable inhalation cancer
risks to the individual most exposed are up to but no greater than
approximately 100-in-1 million, which is the presumptive limit of
acceptability. The MIR based on actual emissions is 20-in-1 million,
well below the presumptive limit. The maximum chronic exposure to
manganese exceeds the human health dose-response value for manganese by
a factor of approximately 4 based on actual emissions. For allowable
emissions, exposures could exceed the health value up to a factor of
approximately 40. The noncancer hazard is driven by manganese
emissions.
Neither the acute risk nor the risks from the multipathway
assessment exceeded levels of concern, however the EPA does note that
the refined multipathway exposure estimate for mercury was at the level
of the RfD.
The EPA proposes that the risks are unacceptable for the following
reasons. First, the EPA considered the fact that the noncancer hazard
quotient ranges from 4 based on actual emissions to 40 based on
allowable emissions. The EPA has not established under section 112 of
the CAA a numerical range for risk acceptability for noncancer effects
as it has with carcinogens, nor has it determined that there is a
bright line above which acceptability is denied. However, the Agency
has established that, as exposure increases above a reference level (as
indicated by a HQ or TOSHI greater than 1), confidence that the public
will not experience adverse health effects decreases and the likelihood
that an effect will occur increases. For the ferroalloys source
category, the potential for members of the public to be exposed to
manganese at concentrations up to 40 times the MRL reduces the Agency's
confidence that the public is protected from adverse health effects and
diminishes the Agency's ability to determine that such exposures are
acceptable. Second, the EPA considered the fact that the cancer risk
estimate for actual emissions is 20-in-1 million and up to 100-in-1
million for allowable emissions. While 20-in-1 million is well within
the acceptable range, risks from allowable emissions are at the upper
end of the range of acceptability. This fact, combined with
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the fact that the noncancer hazard is up to 40 times the MRL and the
refined multipathway HQ for mercury is at the RfD, leads the agency to
conclude that the risk from this source category is unacceptable.
2. Proposed Controls to Address Unacceptable Risks
a. Stack Emissions
In order to address the unacceptable risk from this source
category, we evaluated the potential to reduce MACT-allowable stack
emissions, which resulted in a cancer MIR of 100-in-1 million,
primarily due to allowable stack emissions of arsenic and cadmium and
contributed significantly to the chronic noncancer TOSHI of 40,
primarily due to allowable stack emissions of manganese. Our analysis
determined that we could lower the existing particulate matter emission
limits by approximately 50 percent for furnace stack emissions, by 80
percent for crushing and screening stack emissions and by 98 percent
for the metal oxygen refining (MOR) process, which would help reduce
risk to an acceptable level. As explained above, the MOR is a major
driver of the allowable risks. Therefore, by lowering the MOR limit by
98 percent, this results in a large reduction in the allowable risks.
For the reasons described above, under the authority of CAA section
112(f)(2), we propose particulate matter emission limits for the stacks
at the following levels: 4.0 mg/dscm for new or reconstructed electric
arc furnaces and 25 mg/dscm for existing electric arc furnaces. In the
2011 proposal, we proposed a limit of 3.9 mg/dscm for any new,
reconstructed or existing MOR process and 13 mg/dscm for any new,
reconstructed or existing crushing and screening equipment. We believe
sources can achieve the limits we are proposing today with existing
controls. These emissions limits will substantially reduce potential
risks due to allowable emissions from the stacks. We propose that
compliance for all existing and new sources will be demonstrated by
periodic stack testing, along with installation and continuous
operation of bag leak detection systems for both new and existing
sources that have baghouses, and continuous monitoring of liquid flow
rate and pressure drop for sources controlled with wet scrubbers.
b. Process Fugitive Emissions Sources
Process fugitive sources are partially controlled by the existing
MACT rule via a shop building opacity standard; however, that standard
was only intended to address tapping process fugitives generated under
``normal'' tapping process operating conditions. Casting and crushing
and screening process fugitives in the furnace building were not
included. Under the authority of section 112 of the Act, which allows
the use of measures to enclose systems or processes to eliminate
emissions and measures to collect, capture or treat such pollutants
when released from a process, stack, storage, or fugitive emissions
point, we evaluated options to achieve improved emissions capture. In
the 2011 proposal, we proposed full-enclosure with negative pressure
and viewed local capture as not being an appropriate method of risk
reduction. However, based on comments and other information gathered
since the 2011 proposal and after further review and analyses of
available information, we reevaluated whether the necessary risk
reduction could be accomplished by an alternative approach to control
fugitive emissions based on enhanced local capture of emissions. This
control approach would include a combination of primary and secondary
hoods that effectively capture process fugitive emissions and vents
those emissions to PM control devices. The secondary capture would
include hooding at the roof-lines whereby remaining fugitives are
collected and vented to control devices. As described further under the
technology review section of this preamble, this approach (based on
enhanced local capture and control of process fugitives, using primary
and secondary hoods), will effectively reduce process fugitive
emissions. We conclude that this approach will achieve substantial
reductions of process fugitive emissions (approximately 95 percent
capture and control of fugitive emissions) and will also substantially
reduce the estimated risks due to these emissions. Therefore, under
section 112(f) of the CAA we are proposing this control option that is
based on enhanced capture of fugitive emissions using primary hoods
(that capture process fugitive emissions near the source) and secondary
capture of fugitives (which would capture remaining fugitive emissions
near the roof-line) and includes a tight opacity limit of 8 percent to
ensure fugitives are effectively captured and controlled. We are
proposing that the facilities in this source category must install and
maintain a process fugitives capture system that is designed to capture
and control 95 percent or more of the process fugitive emissions. This
is the same exact control approach described in more detail under the
technology review section of today's notice and the same control
approach that we are proposing under section 112(d)(6) of the Act, as
described below. We estimate that this control approach will achieve
about 95 percent capture of process fugitive emissions and will achieve
about 77 tpy reduction in HAP metals emissions and will substantially
reduce risks due to process fugitive emissions. We conclude that
achieving these reductions is the level of control needed to address
the unacceptable risks due to HAP emissions from the source category.
c. Results of the Post-control Risk Assessment
The results of the post-control chronic inhalation cancer risk
assessment indicate that the maximum individual lifetime cancer risk
posed by these two facilities, after the implementation of the proposed
controls, could be up to 10-in-1 million, reduced from 20-in-1 million
(i.e., pre-controls), with an estimated reduction in cancer incidence
to 0.001 excess cancer cases per year, reduced from 0.002 excess cancer
cases per year. In addition, the number of people estimated to have a
cancer risk greater than or equal to 1-in-1 million would be reduced
from 31,000 to 6,600. The results of the post-control assessment also
indicate that the maximum chronic noncancer inhalation TOSHI value
would be reduced to 1, from the baseline estimate of 4. The number of
people estimated to have a TOSHI greater than 1 would be reduced from
1,500 to 0. We also estimate that after the implementation of controls,
the maximum worst-case acute HQ value would be reduced from 1 to less
than 1 (based on REL values).
Considering post-control emissions of multipathway HAP, mercury
emissions would be reduced by approximately 3 lbs/yr, lead would be
reduced by about 1,600 lbs/yr, POM emissions would be reduced by
approximately 5,200 lbs/yr, cadmium would be reduced by about 150 lbs/
yr and dioxins and furans would be reduced by about 0.002 lbs/yr from
the baseline emission rates.
3. Ample Margin of Safety Analysis
Under the ample margin of safety analysis, we again consider all of
the health factors evaluated in the acceptability determination and
evaluate the cost and feasibility of available control technologies and
other measures (including the controls, measures and costs reviewed
under the technology review) that could be applied in this source
category to further reduce the risks due to
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emissions of HAP identified in our risk assessment.
We estimate that the actions proposed under CAA section 112(f)(2),
as described above to address unacceptable risks, will reduce the MIR
associated with arsenic, nickel, chromium and PAHs from 20-in-1 million
to 10-in-1 million for actual emissions. The cancer incidence will be
reduced from 0.002 to 0.001 cases per year and the number of people
estimated to have cancer risks greater than 1-in-1 million will be
reduced, from 31,000 people to 6,600 people. The chronic noncancer
inhalation TOSHI will be reduced from 4 to 1 and the number of people
exposed to a TOSHI level greater than 1 will be reduced from 1,500
people to 0. In addition, the potential multipathway impacts will be
reduced.
Based on all of the above information, we conclude that the risks
after implementation of the proposed controls are acceptable. Based on
our research and analysis, we did not identify any cost-effective
controls beyond those proposed above that would achieve further
reduction in risk. While in theory the 2011 proposed approach of total
enclosure would provide some additional risk reduction, the additional
risk reduction is minimal and, as noted, we have substantial doubts
that it would be feasible for these facilities. Therefore we conclude
that the controls to achieve acceptable risks (described above) will
also provide an ample margin of safety to protect public health.
D. What are the results and proposed decisions based on our technology
review?
1. Metal HAP Emissions Limits From Stacks
As mentioned in the previous section, the available test data from
the five furnaces located at two facilities indicate that all of these
furnaces have PM emission levels that are well below their respective
emission limits (the emission limits are based on size and product
being produced in the furnace) in the 1999 MACT rule. These findings
demonstrate that the add-on emission control technologies (venturi
scrubber, positive pressure fabric filter, negative pressure fabric
filter) used to control emissions from the furnaces are quite effective
in reducing particulate matter (used as a surrogate for metal HAP) and
that all of the facilities have emissions well below the current
limits.
Under section 112(d)(6) of the Clean Air Act (CAA), we are required
to revise emission standards, taking into account developments in
practices, processes and control technologies. The particulate matter
(PM) emissions, used as a surrogate for metal HAP, that were reported
by the industry in response to the 2010 ICR were far below the level
specified in the current NESHAP, indicating improvements in the control
of PM emissions since promulgation of the current NESHAP. We re-
evaluated the data received in 2010, along with additional data
received in 2012 and 2013, to determine whether it is appropriate to
propose revised emissions limits for PM from the furnace process vents.
The re-evaluation of the PM limits was completed using available PM
emissions test data from all the furnaces and consideration of
variability across those data. More details regarding the available PM
data and this re-evaluation are provided in the Revised Technology
Review for the Ferroalloys Production Source Category for the
Supplemental Proposal, which is available in the docket. Unlike PAH and
mercury stack data, we did not see significant differences in
variability of the PM data sets depending on product produced (e.g.,
ferromanganese or silicomanganese). Therefore, we are not proposing to
subcategorize the PM stack limits based on product type.
Based on this analysis, we determined that it is appropriate to
propose revised PM limits for the furnaces and that the revised
existing source furnace stack PM emissions limit should be 25
milligrams per dry standard cubic meter (mg/dscm). Therefore, we are
proposing a revised emissions limit of 25 mg/dscm for existing furnace
stack PM emissions in this supplemental proposal. This emission limit
is slightly higher than the existing source furnace PM emission limit
of 24 mg/dscm that we proposed in the 2011 proposal. The revised
emissions limit is based on more data than the previous proposed limit.
No additional add-on controls are expected to be required by the
facilities to meet the revised existing source limit of 25 mg/dscm.
However, this revised limit would result in significantly lower
``allowable'' PM emissions from the source category compared to the
level of emissions allowed by the 1999 MACT rule and would help prevent
any emissions increases. To demonstrate compliance, we propose these
sources would be required to conduct periodic performance testing and
develop and operate according to a baghouse operating plan or
continuously monitor venturi scrubber operating parameters. We also
propose that furnace baghouses would be required to be equipped with
bag leak detection systems (BLDS).
The revised new source PM standard for furnaces was determined by
evaluating the available data from the best performing furnace (which
was determined to be furnace 2 at Felman). The new source MACT
limit was determined to be 4.0 mg/dscm based on data from furnace
2 and was selected as the proposed MACT emissions limit for PM
from new and reconstructed source furnace stacks.
The PM emission limit for the local ventilation control device
outlet was also re-evaluated using compliance test data and test data
from the 2012 ICR. A local ventilation control device is used to
capture tapping, casting, or ladle treatment emissions and direct them
to a control device other than one associated with the furnace. The
2011 proposal included a proposed PM limit for the local ventilation
control device that was based on PM data from the furnaces. After the
2011 proposal, we received test data from 3 different emissions tests
(for a total of 9 test runs) specifically for this local ventilation
source. We determined these data were more appropriate for the
development of a limit for this source than the furnace data we had
used for the 2011 proposal. There is currently only one local
ventilation control device outlet emissions source in this source
category.
Using the new data for the one existing local ventilation source,
we calculated a revised emissions limit of 4.0 mg/dscm and determined
that this was an appropriate emissions limit for this source. Therefore
we are proposing this emissions limit of 4.0 mg/dscm for existing, new
and reconstructed local ventilation control device emissions sources.
2. Metal HAP Emissions From Process Fugitives
In the 2011 proposal, we concluded that a proposed requirement for
sources to enclose the furnace building, collect fugitive emissions
such that the furnace building is maintained under negative pressure
and duct those emissions to a control device represented an advance in
emissions control measures since the Ferroalloys Production NESHAP was
originally promulgated in 1999. Commenters on the 2011 proposal
disagreed with our assessment. Based on these comments, we reassessed
the proposed requirement for negative pressure ventilation and
determined that the installation and operation of the proposed system
may not be feasible and would likely be very costly. For example, the
recent secondary lead NESHAP requires use of such a system, but we
recognize that a much smaller volume of air must be evacuated at
secondary lead facilities because of their
[[Page 60272]]
smaller size compared to ferroalloy facilities. We agree that we had
underestimated the costs of such negative pressure systems and we have
provided updated cost analyses.
Commenters also raised concerns about worker safety and comfort in
designing and operating such systems based on historical examples. We
believe that such issues can be overcome with proper ventilation design
and installation of air conditioning systems and other steps to ensure
these issues are not a problem. However, after further review and
evaluation we conclude that it would be quite costly for these
facilities to become fully enclosed with negative pressure and achieve
the appropriate ventilation and conditioning of indoor air.
Going back to the original goal of identifying advances in
emissions control measures since the Ferroalloys Production NESHAP was
promulgated in 1999, we have arrived at a different conclusion than we
described in the 2011 proposal. We re-evaluated the costs and
operational feasibility associated with the full building enclosure
with negative pressure that we proposed in 2011. We consulted with
ventilation experts who have worked with hot process fugitives similar
to those found in the ferroalloys industry (e.g., electric arc furnace
steel mini-mills and secondary lead smelters). We determined that
substantially more air flow, air exchanges, ductwork, fans and control
devices and supporting structural improvements would be needed
(compared to what we had estimated in the 2011 proposal) to achieve
negative pressure and also ensure adequate ventilation and air quality
in these large furnace buildings. Therefore, we determined that the
proposed negative pressure approach presented in the 2011 proposal
would be much more expensive than what we had estimated in 2011 and may
not be feasible for these facilities.
We also evaluated another option based on enhanced capture of the
process fugitive emissions using a combination of effective local
capture with primary hooding close to the emissions sources and
secondary capture of remaining fugitives with roof-line capture hoods
and control devices. These buildings are currently designed such that
fugitive emissions that are not captured by the primary hoods flow
upward with a natural draft to the open roof vents and are vented to
the atmosphere uncontrolled. Under our enhanced control scenario, the
primary capture close to the emissions sources would be significantly
improved with effective local hooding and ventilation and the remaining
fugitive emissions (that are not captured by the primary hoods) would
be drawn up to the roof-line and captured with secondary hooding and
vented to control devices.
In cases where additional collection of fugitives from the roof
monitors is needed to comply with building opacity limits, fume
collection areas may be isolated via baffles (so the area above the
furnace where fumes collect may be kept separated from ``empty'' spaces
in large buildings) and roof monitors over fume collection areas can be
sealed and directed to control devices. The fugitive emission capture
system should achieve inflow at the building floor, but outflow toward
the roof where most of the remaining fugitives would be captured by the
secondary hooding. We conclude that a rigorous, systematic examination
of the ventilation requirements throughout the building is the key to
developing a fugitive emission capture system (consisting of primary
hoods, secondary hoods, enclosures and/or building ventilation ducted
to particulate matter control devices) that can be designed and
operated to achieve very low levels of fugitive emissions. Such an
evaluation considers worker health, safety and comfort and it is
designed to optimize existing ventilation options (fan capacity and
hood design) and add additional capture options to meet specified
design criteria determined through the evaluation process. Thus, we
conclude that an enhanced capture system based on these design
principles does represent an advancement in technology. We estimate
that this control scenario would capture about 95 percent of the
process fugitive emissions and vent those emissions to PM control
devices. This enhanced local capture option is described in more detail
in the Revised Technology Review document and in the Cost Impacts of
Control Options to Address Fugitive HAP Emissions for the Ferroalloys
Production NESHAP Supplemental Proposal document (Cost Impacts
document) which are available in the docket.
Under this control option, the cost elements vary by plant and
furnace and include the following:
Curtains or doors surrounding furnace tops to contain
fugitive emissions;
Improvements to hoods collecting tapping emissions;
Upgrade fans to improve the airflow of fabric filters
controlling fugitive emissions;
Addition of ``secondary capture'' or additional hoods to
capture emissions from tapping platforms or crucibles;
Addition of fugitives capture for casting operations;
Improvement of existing control devices or addition of
fabric filters; and
Addition of rooftop ventilation, in which fugitive
emissions escaping local capture are collected in the roof canopy over
process areas through addition of partitions, hoods, and then directed
through ducts to control devices.
We estimate the total capital costs of installing the required
ductwork, fans and control devices under the enhanced capture option
(which is described above and in more detail in the Cost Impacts
document) to be $37.6 million and the total annualized cost to be $7.1
million for the two plants. We estimate that this option would reduce
metal HAP emissions by 75 tons per year, resulting in a cost per ton of
metal HAP removed to be $94,600 per ton ($47 per pound). The total
estimated HAP reduction for the enhanced capture option is 77 tons per
year at a cost per ton of $91,900 ($46 per pound). We also estimate
that this option would achieve PM emission reductions of 229 tons per
year, resulting in cost per ton of PM removed of $30,900 per ton and
achieve PM2.5 emission reductions of 48 tons per year,
resulting in a cost per ton of PM2.5 removal of $147,000 per
ton. We believe these controls for process fugitive HAP emissions
(described above), which are based on enhanced capture (with primary
and secondary hooding) are feasible for the Ferroalloys Production
source category from a technical standpoint and are cost effective.
This cost effectiveness is in the range of cost effectiveness for PM
and HAP metals from other previous rules. However, it is important to
note that there is no bright line for determining cost-effectiveness
for HAP metals. Each rulemaking is different and various factors must
be considered. Some of the other factors we consider when making
decisions whether to establish standards beyond the floor under section
112(d)(2) or under section 112(d)(6) include, but are not limited to,
the following: which of the HAP metals are being reduced and by how
much; total capital costs; annual costs; and costs compared to total
revenues (e.g., costs to revenue ratios).
We also re-evaluated the option based on building ventilation as
described in the 2011 proposal. This control option involves
installation of full building ventilation at negative pressure for
furnace buildings instead of installing fugitive controls on individual
tapping and casting operations. This option would require installation
of ductwork
[[Page 60273]]
from the roof vents of furnace buildings, additional fans, structural
repairs to buildings and a new fabric filter for each building. Both
Eramet and Felman provided extensive comments and information regarding
implementation of building ventilation, including cost estimates based
on their own engineering analyses. We thoroughly reviewed the comments
and information provided by the companies along with information
gathered from other sources, and then revised our costs analyses
accordingly for this supplemental proposal.
We estimate that the full building enclosure option would reduce PM
emissions from the facilities by 252 tons per year (and total HAP
emissions by 83 tons per year). The total estimated capital cost for
these fugitive controls is $61 million. Annualized capital cost and
operational and maintenance costs are estimated at $19 million per
year, which results in an estimated cost per ton of metal HAP removed
of $226,000 per ton. We also estimate that this option would achieve PM
emission reductions of 252 tons, resulting in cost per ton of PM
removed of $74,200 per ton and achieve PM2.5 emission
reductions of 53 tons, resulting in a cost per ton of PM2.5
removal of $353,000 per ton. The incremental cost effectiveness
comparing the enhanced capture option to the building ventilation
option is $501,000 per ton of PM removed, $2.4 million per ton of
PM2.5 removed and $2.2 million per ton of HAP removed.
Based on these analyses, we conclude that the full-building
enclosure option with negative pressure may not be feasible and would
have significant economic impacts on the facilities (including
potential closure for one or more facilities). However, we conclude
that the enhanced local capture option is a feasible and cost-effective
approach to achieve significant reductions in fugitive HAP emissions
and will achieve almost as much reductions as the full-building
enclosure option (229 vs 252 tons PM reductions) thus achieving most of
the risk reductions. In light of the technical feasibility and cost
effectiveness of the enhanced capture options, we are proposing the
enhanced capture option under the authority of section 112(d)(6) of the
CAA.
In the 2011 proposal, we included a requirement that emissions
exiting from a shop building may not exceed more than 10 percent
opacity for more than one 6-minute period, to be demonstrated every 5
years as part of the periodic required performance tests. For day-to-
day continuous monitoring to demonstrate compliance with the proposed
shop building requirements, the 2011 proposal relied on achieving the
requirement to maintain the shop building at negative pressure to at
least 0.007 inches of water. This was to be supplemented by operation
and work practice standards that required preparation of a process
fugitive emissions ventilation plan for each shop building, which would
include schematics with design parameters (e.g., air flow and static
pressure) of the ventilation system. The source would conduct a
baseline survey to verify that building air supply and exhaust are
balanced and the building will be maintained under at least 0.007
inches of water. Such plan would identify critical maintenance
activities and schedules, be submitted to the permitting authority and
incorporated into the source's operating permit. The baseline survey
would be repeated every 5 years or following significant changes to the
ventilation system.
With the move to the proposed enhanced local capture alternative,
we believe that more frequent opacity monitoring based on an average of
8 percent opacity at all times, is appropriate to demonstrate
compliance with the process fugitives standards. We propose that if the
average opacity reading from the shop building is greater than 8
percent opacity during an observed furnace process cycle, an additional
two more furnace process cycles must be observed such that the average
opacity during the entire observation period is less than 7 percent
opacity. A furnace process cycle means the period in which the furnace
is tapped to the time in which the furnace is tapped again and includes
periods of charging, smelting, tapping, casting and ladle raking. We
also propose that at no time during operation may any two consecutive
6-minute block opacity readings be greater than 20 percent opacity. We
believe that the longer averaging time for this new opacity limit
(furnace process cycle vs. individual 6-minute averages) addresses
concerns that small variations in an otherwise well-controlled furnace
cycle could result in violations of the opacity standard. The proposed
20 percent ceiling ensures that there are no acute events that could
adversely affect public health. Finally, the lower limit (8 vs. 10
percent opacity) also reflects that sources should achieve lower
overall emissions over a longer averaging period. We propose that
sources be required to conduct opacity observations at least once per
week for each operating furnace and each MOR operation. Similar to the
2011 proposal, continuous monitoring of key ventilation operating
system parameters and periodic inspections of the ventilation systems
would ensure that the ventilation systems are operating as designed.
Also, similar to the 2011 proposal, we believe that the source
should demonstrate that the overall design of the ventilation system is
adequate to achieve the proposed standards. We propose that the
facilities in this source category must maintain a process fugitives
capture system that is designed to collect 95 percent or more of the
process fugitive emissions from furnace operations, casting MOR
process, ladle raking and slag skimming and crushing and screening
operations and convey the collected emissions to a control device that
meets specified emission limits and the proposed opacity limits. We
believe that if the source designs the plan according to the most
recent (at the time of construction) ventilation design principles
recommended by the American Conference of Governmental Industrial
Hygienists (ACHIH), includes detailed schematics of the ventilation
system design, addresses variables that affect capture efficiency such
as cross drafts and describes protocol or design characteristics to
minimize such events and identifies monitoring and maintenance steps,
the plan will be capable of ensuring the system is properly designed
and continues to operate as designed. We would continue to require that
this plan be submitted to the permitting authority, incorporated into
the source's operating permit and updated every 5 years or when there
is a significant change in variables that affect process fugitive
emissions ventilation design. This list of design criteria, coupled
with the requirement for frequent opacity observations and operating
parameter monitoring will result in enforceable requirements. We
recognize that other design requirements and/or more frequent opacity
observations may yield more compliance certainty, but incur greater
costs and not result in measurable decreases in emissions. However, we
request comment on other measures that could be considered to
demonstrate that well designed (e.g., at least 95 percent overall
capture of process fugitive emissions) plans are developed and
maintained. We request that such comments include costs, measurement
techniques or other information to evaluate their efficacy.
E. What other actions are we proposing?
In addition to the proposed actions described above, we re-
evaluated compliance requirements associated with the 2011 proposed
amendments to
[[Page 60274]]
determine whether we should make changes to those proposed amendments.
Based on this re-evaluation, we are proposing the following changes to
what was proposed in the 2011 proposal.
1. Stack Emission Limits
In response to public comments, we revisited the format of the
stack emission limits. We concluded that a concentration-based limit is
still appropriate, but we agree that the proposed CO2
concentration correction poses a problem under certain control device
configurations. While such a concentration correction is appropriate
for combustion sources such as boilers, we agree that its use in the
context of ferroalloys production is not helpful. The PM stack limits
proposed above do not include a CO2 correction.
2. Emissions Averaging
As described above, we have decided to retain a concentration
format for the emissions limits for the stacks but we are not retaining
the emissions averaging provision in this supplemental proposal that we
had proposed in 2011. We believe a concentration format is the best
format for this NESHAP and we have concluded that it is not the best
format to use under an emissions averaging option. We are concerned
that emissions from a large furnace emitting a lower than average
concentration could still emit more emissions than a small furnace with
a higher than average concentration. This could result in a net
increase in emissions from the two furnaces compared to their emissions
if they were not allowed to average emissions. For this reason, we are
proposing not to include the emissions averaging provisions in the
rule, which is a change from the 2011 proposal.
3. Fenceline Monitoring Alternative
In the 2011 proposal, we assumed there could be control measures
other than maintaining the furnace buildings under negative pressure
that would achieve equivalent emissions reductions. Therefore, to
provide some flexibility to facilities regarding how to achieve the
reductions of fugitive emissions, in lieu of building the full
enclosure and evacuation system described in the 2011 proposal, we
proposed that sources could demonstrate compliance with an alternative
approach by conducting fenceline monitoring and demonstrate that the
ambient concentrations of manganese at their facility boundary remain
at levels no more than 0.1 [mu]g/m\3\ on a 60-day rolling average.
However, at this time, we believe that the proposed enhanced local
capture option described in this supplemental proposal incorporates the
features anticipated in a non-negative pressure building option and
contains compliance requirements (based on meeting a tight opacity
limit and other requirements) that would assess emissions at the point
of the maximum output, that is, from the roof monitor of the
ferroalloys production building. Furthermore, we determined there were
various issues associated with fenceline monitoring at facilities
within this source category, including highly variable wind patterns,
uncertainties as to how to account for background concentrations and
road dust and the large difference between emissions release heights
(from the high roof vents and stacks) compared to heights where
fenceline monitors would be located (near ground level). Therefore, we
are proposing to not include fenceline monitoring in the final rule as
an alternative method to demonstrate compliance with a specific ambient
level as was described in the 2011 proposal. We believe the proposed
tight opacity limit (which would be measured at the emissions sources),
along with the proposed requirements to install, operate and maintain
effective fugitive capture and control systems, emissions limits for
the stacks and various parametric monitoring requirements, are
appropriate control requirements to ensure effective capture and
control of emissions. However, as described in Section V.I. of this
Notice, we are seeking comments regarding other possible options to
monitor fugitive emissions, including fenceline monitoring as a tool to
monitor trends in ambient concentrations at these locations and to use
this information (along with meteorological data and modeling tools) to
attempt to quantify trends in emissions that are leaving and entering
the facility property.
4. Startup, Shutdown, Malfunction
In the 2011 proposal, we proposed to eliminate two provisions that
exempt sources from the requirement to comply with the otherwise
applicable CAA section 112(d) emission standards during periods of SSM.
We also included provisions for affirmative defense to civil penalties
for violations of emission standards caused by malfunctions. Periods of
startup, normal operations, and shutdown are all predictable and
routine aspects of a source's operations. However, by contrast,
malfunction is defined as a ``sudden, infrequent, and not reasonably
preventable failure of air pollution control and monitoring equipment,
process equipment or a process to operate in a normal or usual manner .
. .'' (40 CFR 63.2). As explained in the 2011 proposal, the EPA
interprets CAA section 112 as not requiring emissions that occur during
periods of malfunction to be factored into development of CAA section
112 standards. Under section 112, emissions standards for new sources
must be no less stringent than the level ``achieved'' by the best
controlled similar source and for existing sources generally must be no
less stringent than the average emission limitation ``achieved'' by the
best performing 12 percent of sources in the category. There is nothing
in section 112 that directs the Agency to consider malfunctions in
determining the level ``achieved'' by the best performing sources when
setting emission standards. As the DC Circuit has recognized, the
phrase ``average emissions limitation achieved by the best performing
12 percent of'' sources ``says nothing about how the performance of the
best units is to be calculated.'' Nat'l Ass'n of Clean Water Agencies
v. EPA, 734 F.3d 1115, 1141 (D.C. Cir. 2013). While the EPA accounts
for variability in setting emissions standards, nothing in section 112
requires the Agency to consider malfunctions as part of that analysis.
A malfunction should not be treated in the same manner as the type of
variation in performance that occurs during routine operations of a
source. A malfunction is a failure of the source to perform in a
``normal or usual manner'' and no statutory language compels the EPA to
consider such events in setting section 112 standards.
Further, accounting for malfunctions in setting emission standards
would be difficult, if not impossible, given the myriad different types
of malfunctions that can occur across all sources in the category and
given the difficulties associated with predicting or accounting for the
frequency, degree and duration of various malfunctions that might
occur. As such, the performance of units that are malfunctioning is not
``reasonably'' foreseeable. See, e.g., Sierra Club v. EPA, 167 F.3d
658, 662 (D.C. Cir. 1999) (``The EPA typically has wide latitude in
determining the extent of data-gathering necessary to solve a problem.
We generally defer to an agency's decision to proceed on the basis of
imperfect scientific information, rather than to `invest the resources
to conduct the perfect study.' '') See also, Weyerhaeuser v. Costle,
590 F.2d 1011, 1058 (D.C. Cir. 1978) (``In the nature of things, no
general limit, individual permit, or even any upset provision can
anticipate all upset situations. After a
[[Page 60275]]
certain point, the transgression of regulatory limits caused by
`uncontrollable acts of third parties,' such as strikes, sabotage,
operator intoxication or insanity, and a variety of other
eventualities, must be a matter for the administrative exercise of
case-by-case enforcement discretion, not for specification in advance
by regulation.''). In addition, emissions during a malfunction event
can be significantly higher than emissions at any other time of source
operation. For example, if an air pollution control device with 99
percent removal goes off-line as a result of a malfunction (as might
happen if, for example, the bags in a baghouse catch fire) and the
emission unit is a steady state type unit that would take days to shut
down, the source would go from 99 percent control to zero control until
the control device was repaired. The source's emissions during the
malfunction would be 100 times higher than during normal operations. As
such, the emissions over a 4-day malfunction period would exceed the
annual emissions of the source during normal operations. As this
example illustrates, accounting for malfunctions could lead to
standards that are not reflective of (and significantly less stringent
than) levels that are achieved by a well-performing non-malfunctioning
source. It is reasonable to interpret section 112 to avoid such a
result. The EPA's approach to malfunctions is consistent with section
112 and is a reasonable interpretation of the statute.
In the event that a source fails to comply with the applicable CAA
section 112 standards as a result of a malfunction event, the EPA would
determine an appropriate response based on, among other things, the
good faith efforts of the source to minimize emissions during
malfunction periods, including preventative and corrective actions, as
well as root cause analyses to ascertain and rectify excess emissions.
The EPA would also consider whether the source's failure to comply with
the CAA section 112 standard was, in fact, ``sudden, infrequent, not
reasonably preventable'' and was not instead ``caused in part by poor
maintenance or careless operation.'' 40 CFR Sec. 63.2 (definition of
malfunction).
Further, to the extent the EPA files an enforcement action against
a source for violation of an emission standard, the source can raise
any and all defenses in that enforcement action and the federal
district court will determine what, if any, relief is appropriate. The
same is true for citizen enforcement actions. Similarly, the presiding
officer in an administrative proceeding can consider any defense raised
and determine whether administrative penalties are appropriate.
As noted above, the 2011 proposal included an affirmative defense
to civil penalties for violations caused by malfunctions. EPA included
the affirmative defense in the 2011 proposal as it had in several prior
rules in an effort to create a system that incorporates some
flexibility, recognizing that there is a tension, inherent in many
types of air regulation, to ensure adequate compliance while
simultaneously recognizing that despite the most diligent of efforts,
emission standards may be violated under circumstances entirely beyond
the control of the source. Although the EPA recognized that its case-
by-case enforcement discretion provides sufficient flexibility in these
circumstances, it included the affirmative defense in the 2011 proposal
and in several prior rules to provide a more formalized approach and
more regulatory clarity. See Weyerhaeuser Co. v. Costle, 590 F.2d 1011,
1057-58 (D.C. Cir. 1978) (holding that an informal case-by-case
enforcement discretion approach is adequate); but see Marathon Oil Co.
v. EPA, 564 F.2d 1253, 1272-73 (9th Cir. 1977) (requiring a more
formalized approach to consideration of ``upsets beyond the control of
the permit holder.''). Under the EPA's regulatory affirmative defense
provisions, if a source could demonstrate in a judicial or
administrative proceeding that it had met the requirements of the
affirmative defense in the regulation, civil penalties would not be
assessed. The United States Court of Appeals for the District of
Columbia Circuit vacated an affirmative defense in one of the EPA's
Section 112 regulations. NRDC v. EPA, 749 F.3d 1055 No. 10-1371 (D.C.
Cir., 2014) (vacating affirmative defense provisions in Section 112
rule establishing emission standards for Portland cement kilns). The
court found that the EPA lacked authority to establish an affirmative
defense for private civil suits and held that under the CAA, the
authority to determine civil penalty amounts in such cases lies
exclusively with the courts, not the EPA. Specifically, the Court
found: ``As the language of the statute makes clear, the courts
determine, on a case-by-case basis, whether civil penalties are
`appropriate.' '' See NRDC at *21 (``[U]nder this statute, deciding
whether penalties are `appropriate' in a given private civil suit is a
job for the courts, not EPA.''). In light of NRDC, the EPA is
withdrawing its proposal to include a regulatory affirmative defense
provision in this rulemaking and in this proposal has eliminated
sections 63.1627 and 63.1662 (the affirmative defense provisions in the
proposed rule published in the Federal Register on November 23, 2011
(76 FR 72508)). As explained above, if a source is unable to comply
with emissions standards as a result of a malfunction, the EPA may use
its case-by-case enforcement discretion to provide flexibility, as
appropriate. Further, as the DC Circuit recognized, in an EPA or
citizen enforcement action, the court has the discretion to consider
any defense raised and determine whether penalties are appropriate. Cf.
NRDC at *24. (arguments that violation were caused by unavoidable
technology failure can be made to the courts in future civil cases when
the issue arises). The same logic applies to EPA administrative
enforcement actions.
F. What compliance dates are we proposing?
The proposed changes to the 2011 proposal that are set out in this
supplementary proposal will not change the compliance dates proposed.
We continue to propose that facilities must comply with the changes set
out in this supplementary proposal (which are being proposed under CAA
sections 112(d)(2), 112(d)(3), 112(d)(6) and 112(f)(2) for all affected
sources), no later than 2 years after the effective date of the final
rule. We find that 2 years are necessary to complete the installation
of the enhanced local capture system and other controls. In the period
between the effective date of this rule and the compliance date,
existing sources would continue to comply with the existing
requirements specified in Sec. Sec. 63.1650 through 63.1661, which
will protect the health of persons from imminent endangerment.
V. Summary of the Revised Cost, Environmental and Economic Impacts
A. What are the affected sources?
We maintain, as at the 2011 proposal, that the two manganese
ferroalloys production facilities currently operating in the United
States will be affected by these proposed amendments. We do not know of
any new facilities that are expected to be constructed in the
foreseeable future. However, there is one other facility that has a
permit to produce ferromanganese or silicomanganese in an electric arc
furnace, but it is not doing so at present. It is possible, however,
that this facility could resume production or another non-manganese
ferroalloy producer
[[Page 60276]]
could decide to commence production of ferromanganese or
silicomanganese. Given this uncertainty, our impact analysis is focused
on the two existing sources that are currently operating.
B. What are the air quality impacts?
The EPA revised the estimated emissions reductions that are
expected to result from the proposed amendments to the 1999 NESHAP
based on the proposed changes in this supplemental proposal. A detailed
documentation of the analysis can be found in the Cost Impacts
document, which is available in the docket.
As noted in the 2011 proposal, emissions of metal HAP from
ferroalloys production sources have declined in recent years, primarily
as the result of state actions and also due to the industry's own
initiative. The proposed amendments in this supplemental proposal would
cut HAP emissions (primarily particulate metal HAP such as manganese,
arsenic and nickel) by about 60 percent from their current levels.
Under the revised proposed emissions standards for process fugitives
emissions from the furnace building, we estimate that the HAP emissions
reductions would be 77 tpy, including significant reductions of
manganese.
As noted in the 2011 proposal, based on the emissions data
available to the EPA, we believe that both facilities will be able to
comply with the proposed emissions limits for HCl without additional
controls. Based on the analyses presented today, we also anticipate
that both facilities will be able to comply with the proposed emission
limits for mercury and PAH without additional controls.
C. What are the cost impacts?
Under the revised proposed amendments, ferroalloys production
facilities are expected to incur costs for the design of a local
ventilation system, resulting in a site-specific local ventilation plan
and installation of custom hoods and ventilation equipment and
additional control devices to manage the air flows generated by the
enhanced capture systems. There would also be capital costs associated
with installing new or improved continuous monitoring systems,
including installation of BLDS on the furnace baghouses that are not
currently equipped with these systems.
The revised capital costs for each facility were estimated based on
the projected number and types of upgrades required. The specific
enhancements for each facility were selected for cost estimation based
on estimates directly provided by the facilities based on their
engineering analyses and discussions with the EPA. The Cost Impacts
document includes a complete description of the revised cost estimate
methods used for this analysis and is available in the docket.
Cost elements vary by plant and furnace and include the following
elements:
Curtains or doors surrounding furnace tops to contain
fugitive emissions;
Improvements to hoods collecting tapping emissions;
Upgraded fans to improve the airflow of fabric filters
controlling fugitive emissions;
Addition of ``secondary capture'' or additional hoods to
capture emissions from tapping platforms or crucibles;
Addition of fugitives capture for casting operations;
Improvement of existing control devices or addition of
fabric filters; and
Addition of rooftop ventilation, in which fugitive
emissions escaping local control are collected in the roof canopy over
process areas through addition of partitions and hoods, then directed
through roof vents and ducts to control devices.
For purposes of the supplemental proposal analysis, we assumed that
enhanced fugitive capture and control systems and roofline ventilation
will be installed for all operational furnaces at both facilities and
for MOR operations at Eramet Marietta. The specific elements of the
capture and control systems selected for each facility are based on
information supplied by the facilities incorporating their best
estimates of the improvements to fugitive emission capture and control
they would implement to achieve the standards included in the
supplemental proposal. We estimate the total capital costs of
installing the required ductwork, fans and control devices under the
enhanced capture option to be $37.6 million and the total annualized
cost to be $7.1 million (2012 dollars) for the two plants. We estimate
that this option would reduce metal HAP emissions by 75 tons, resulting
in a cost per ton of metal HAP removed to be $94,700 per ton ($47 per
pound). The total HAP reduction for the enhanced capture option is
estimated to be 77 tons per year at a cost per ton of $91,900 per ton
($46 per pound). We also estimate that this option would achieve PM
emission reductions of 229 tons per year, resulting in cost per ton of
PM removed of $30,900 per ton and achieve PM2.5 emission
reductions of 48 tons per year, resulting in a cost per ton of
PM2.5 removal of $147,000 per ton.
D. What are the economic impacts?
As a result of the requirements in this supplemental proposal, we
estimate that the total capital cost for the Eramet facility will be
about $25 million and the total annualized costs will be about $5.4
million (in 2012 dollars). For impacts to Felman Production LLC, this
facility is estimated to incur a total capital cost of $12.4 million
and a total annualized costs of just under $1.7 million (in 2012
dollars). In total, these costs could lead to an increase in annualized
cost of as much as 1.8 percent of sales, which serves as an estimate
for the increase in product prices, and a decrease in output of as much
as 9.5 percent. For more information regarding economic impacts, please
refer to the Economic Impact Analysis report that is included in the
public docket for this supplemental proposal.
E. What are the benefits?
The estimated reductions in HAP emissions (i.e., about 77 tpy) that
would be achieved by this proposal would provide significant benefits
to public health. For example, there would be a significant reduction
in emissions of air toxics (especially Mn, Ni, Cd and PAHs). In
addition to the HAP reductions, we also estimate that this supplemental
proposal would achieve about 48 tons of reductions in PM2.5
emissions as a co-benefit of the HAP reductions annually.
This rulemaking is not an ``economically significant regulatory
action'' under Executive Order 12866 because it is not likely to have
an annual effect on the economy of $100 million or more. Therefore, we
have not conducted a Regulatory Impact Analysis (RIA) for this
rulemaking or a benefits analysis. While we expect that these avoided
emissions will result in improvements in air quality and reduce health
effects associated with exposure to air pollution associated with these
emissions, we have not quantified or monetized the benefits of reducing
these emissions for this rulemaking. This does not imply that there are
no benefits associated with these emission reductions. When determining
if the benefits of an action exceed its costs, Executive Orders 12866
and 13563 direct the Agency to consider qualitative benefits that are
difficult to quantity but nevertheless essential to consider.
Directly emitted particles are precursors to secondary formation of
fine particles (PM2.5). Controls installed to reduce HAP
would also reduce ambient concentrations of PM2.5 as a co-
benefit. Reducing exposure to PM2.5 is
[[Page 60277]]
associated with significant human health benefits, including avoiding
mortality and morbidity from cardiovascular and respiratory illnesses.
Researchers have associated PM2.5 exposure with adverse
health effects in numerous toxicological, clinical and epidemiological
studies (U.S. EPA, 2009) \57\. When adequate data and resources are
available and an RIA is required, the EPA generally quantifies several
health effects associated with exposure to PM2.5 (e.g., U.S.
EPA, 2012) \58\. These health effects include premature mortality for
adults and infants, cardiovascular morbidities such as heart attacks,
hospital admissions and respiratory morbidities such as asthma attacks,
acute bronchitis, hospital and emergency department visits, work loss
days, restricted activity days and respiratory symptoms. The scientific
literature also suggests that exposure to PM2.5 is also
associated with adverse effects on birth weight, pre-term births,
pulmonary function and other cardiovascular and respiratory effects
(U.S. EPA, 2009), but the EPA has not quantified certain outcomes these
impacts in its benefits analyses. PM2.5 also increases light
extinction, which is an important aspect of visibility.
---------------------------------------------------------------------------
\57\ U.S. Environmental Protection Agency (U.S. EPA). 2009.
Integrated Science Assessment for Particulate Matter (Final Report).
EPA-600-R-08-139F. National Center for Environmental Assessment--RTP
Division. Available on the Internet at https://cfpub.epa.gov/ncea/cfm/recordisplay.cfm?deid=216546.
\58\ U.S. Environmental Protection Agency (U.S. EPA). 2012.
Regulatory Impact Analysis for the Proposed Revisions to the
National Ambient Air Quality Standards for Particulate Matter.
Office of Air and Radiation, Research Triangle Park, NC. Available
on the Internet at https://www.epa.gov/ttnecas1/regdata/RIAs/PMRIACombinedFile_Bookmarked.pdf.
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The rulemaking is also anticipated to reduce emissions of other
HAP, including metal HAP (arsenic, cadmium, chromium (both total and
Cr\+6\), lead compounds, manganese and nickel) and PAHs. Some of these
HAP are carcinogenic (e.g., arsenic, PAHs) and some have effects other
than cancer (e.g., kidney disease from cadmium, respiratory and
immunological effects from nickel). While we cannot quantitatively
estimate the benefits achieved by reducing emissions of these HAP, we
would expect benefits by reducing exposures to these HAP. More
information about the health effects of these HAP can be found on the
IRIS,\59\ ATSDR,\60\ and California EPA \61\ Web pages.
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\59\ US EPA, 2006. Integrated Risk Information System. https://www.epa.gov/iris/.
\60\ US Agency for Toxic Substances and Disease Registry, 2006.
Minimum Risk Levels (MRLs) for Hazardous Substances. https://www.atsdr.cdc.gov/mrls/.
\61\ CA Office of Environmental Health Hazard Assessment, 2005.
Chronic Reference Exposure Levels Adopted by OEHHA as of December
2008. https://www.oehha.ca.gov/air/chronic_rels.
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VI. Request for Comments
We solicit comments on the revised risk assessment and technology
review and proposed changes to the previously proposed amendments. We
seek comments on the additional data received in August 2014 (as
described in Section II.D above) and the impacts of those new data on
the analyses and results presented in this notice. We seek comments on
the sufficiency of the proposed controls for process fugitive
emissions, the design of such systems and how best to monitor them to
ensure the systems achieve the estimated efficiency. We also seek
comments on other aspects of this supplemental proposal, including, but
not limited to, the proposed opacity standards.
The EPA is also soliciting comment with regard to expanding the
monitoring requirements in this NESHAP for fugitive particulate matter
and manganese emissions being released at the roof vents of furnace
buildings using one or more of three different options. For the
following three options the EPA is additionally seeking comment on the
frequency of monitoring and the cost associated with installation,
operation, analysis and ongoing reporting. Additional cost information
of these three monitoring options is included in the Cost Impacts
document, which is available in the docket.
First, the EPA is soliciting comment on the potential to require
the facilities to take periodic measurements of fugitive particulate
matter and manganese emissions from the roof vents using portable
filter based measurement technologies. The EPA solicits comment on
requiring no less than 3 filter based monitoring systems with
associated anemometers with the goal of quantifying trends in the
process fugitive emissions that are leaving the furnace buildings. We
also solicit comment on the appropriate sampling duration and frequency
of such measurements (e.g., 8-hour samples gathered at each monitor
several times per week or month). This monitoring could provide useful
information regarding the remaining fugitive emissions that will be
escaping the buildings after the facilities install and operate the
improved capture and controls systems that we expect will be installed
to comply with this proposed rule. This information will also help
improve our understanding of the relationship between the process
fugitive emissions and the specific operations within the furnace
buildings. However, the measurements would not be tied to a specific
emissions limit.
Second, the EPA is soliciting comment on requiring fugitive
fenceline filter based measurements of particulate matter and manganese
emissions at the facilities with no less than 3 monitoring systems at
the property boundaries to monitor trends in ambient concentrations at
these locations and to use this information (along with meteorological
data and modeling tools) to attempt to quantify trends in emissions
that are leaving and entering the facility property. The EPA seeks
comment on having the monitoring systems use common ambient filter
based sampling techniques as well as gathering data on meteorological
conditions simultaneously at each of the sampling sites. The EPA
recognizes that this monitoring would be capturing both ground level
and other fugitive emissions from the facilities as well as background
contributions from other sources, and that this type of monitoring has
limitations. Nevertheless, EPA is taking comment on the application and
appropriateness of this type of monitoring as part of the requirements
within this NESHAP to evaluate emissions leaving the facility property
and is taking comment on where to position the monitoring systems to
best evaluate the fugitive emissions.
Third, the EPA is soliciting comment regarding the use of new
technologies to provide continuous or near continuous long term
approaches to monitoring emissions from industrial sources such the
Ferroalloys production facilities within this source category. To this
end we are seeking comment on the feasibility and practice associated
with the use of automated Opacity Monitoring with ASTM D7520-13, using
digital camera technology (DCOT) at fixed points to interpret visible
emissions from roof vents associated with the processes at each
facility, and how this technology could potentially be included as part
of the requirements in the NESHAP for ferroalloys production sources.
Specifically we are interested in comments regarding how many fixed
camera locations would be needed to provide sufficient sun-angle
viewing during daylight operating hours, and the frequency of the EXIF
2.1 JPG image analysis (how often the roof vent plume should be
evaluated).
[[Page 60278]]
The EPA is moving toward advances in information and emissions
monitoring technology that is setting the stage for detection,
processing and communication capabilities that can revolutionize
environmental protection. The EPA calls this Next Generation
Compliance. One of the advances in information sharing is increased
transparency. Using transparency as a way to improve performance and
increase compliance, the EPA is seeking comments on whether affected
sources should be required to post Method 9 readings on their company
Web sites and/or State dashboards.
Electronic reporting is another next generation tool that saves
time and money while improving results. The EPA is asking for comments
on whether the EPA should require affected sources to submit all
compliance documents such as notice of compliance status form,
deviations from the process fugitive ventilation plan and outdoor
fugitive dust plan, and electronic records of the bag leak detection
system output.
We are not opening comment on aspects of the 2011 proposal (76 FR
72508) that have not changed and are not addressed in this supplemental
proposal. Comments received on the 2011 proposal along with comments
received on this supplemental proposal will be addressed in the EPA's
Response to Comment document and final rule preamble for the
Ferroalloys Production source category.
VII. Submitting Data Corrections
The site-specific emissions profiles used in the source category
risk and demographic analyses and instructions are available for
download on the RTR Web page at: https://www.epa.gov/ttn/atw/rrisk/rtrpg.html. The data files include detailed information for each HAP
emissions release point for the facilities in the source category.
If you believe that the data are not representative or are
inaccurate, please identify the data in question, provide your reason
for concern and provide any ``improved'' data that you have, if
available. When you submit data, we request that you provide
documentation of the basis for the revised values to support your
suggested changes. To submit comments on the data downloaded from the
RTR page, complete the following steps:
1. Within this downloaded file, enter suggested revisions to the
data fields appropriate for that information.
2. Fill in the commenter information fields for each suggested
revision (i.e., commenter name, commenter organization, commenter email
address, commenter phone number and revision comments).
3. Gather documentation for any suggested emissions revisions
(e.g., performance test reports, material balance calculations, etc.).
4. Send the entire downloaded file with suggested revisions in
Microsoft[supreg] Access format and all accompanying documentation to
Docket ID Number EPA-HQ-OAR-*** (through one of the methods described
in the ADDRESSES section of this preamble).
5. If you are providing comments on a single facility or multiple
facilities, you need only submit one file for all facilities. The file
should contain all suggested changes for all sources at that facility.
We request that all data revision comments be submitted in the form of
updated Microsoft[supreg] Excel files that are generated by the
Microsoft[supreg] Access file. These files are provided on the RTR Web
page at: https://www.epa.gov/ttn/atw/rrisk/rtrpg.html.
VIII. Statutory and Executive Order Reviews
A. Executive Order 12866: Regulatory Planning and Review and Executive
Order 13563: Improving Regulation and Regulatory Review
Under Executive Order 12866 (58 FR 51735, October 4, 1993), this
action is a significant regulatory action because it raises novel legal
and policy issues. Accordingly, the EPA submitted this action to the
Office of Management and Budget (OMB) for review under Executive Orders
12866 and 13563 (76 FR 3821, January 21, 2011) and any changes made in
response to OMB recommendations have been documented in the docket for
this action.
B. Paperwork Reduction Act
The information collection requirements in this supplemental
proposed rule have been submitted for approval to the Office of
Management and Budget (OMB) under the Paperwork Reduction Act, 44
U.S.C. 3501, et seq. The Information Collection Request (ICR) document
prepared by the EPA has been assigned EPA ICR number 2448.01.
We are proposing changes to the paperwork requirements to the
ferroalloys production source category that were proposed in 2011. In
the 2011 proposal, we proposed paperwork requirements in the form of
increased frequency and number of pollutants tested for stack testing
as described in Sec. 63.1625(c) and tighter parameter monitoring
requirements to demonstrate continuous compliance as described in Sec.
63.1625(c)(4) and Sec. 63.1626. We are not proposing changes to these
requirements. However, in this supplemental proposal we are proposing
more frequent opacity monitoring requirements compared to the 2011
proposal and are removing the shop building process fugitives
monitoring requirements (to demonstrate negative pressure) that we
proposed in 2011.
In addition, in the 2011 proposal, we included an estimate of the
burden associated with the affirmative defense in the ICR. However, as
explained above, in this supplemental proposal we are withdrawing our
proposal to include an affirmative defense and the burden estimate has
been revised accordingly.
We estimate two regulated entities are currently subject to subpart
XXX and will be subject to this action. The annual monitoring,
reporting and recordkeeping burden for this collection (averaged over
the first 3 years after the effective date of the standards) as a
result of the supplemental proposal revised amendments to subpart XXX
(Ferroalloys Production) is estimated to be $643,845 per year. This
includes 496 labor hours per year at a total labor cost of $44,366 per
year and total non-labor capital and operation and maintenance costs,
of $599,479 per year. This estimate includes performance tests,
notifications, reporting and recordkeeping associated with the new
requirements for ferroalloys production operations. The total burden
for the federal government (averaged over the first 3 years after the
effective date of the standard) is estimated to be 48 hours per year at
a total labor cost of $2,177 per year. Burden is defined at 5 CFR
1320.3(b).
An agency may not conduct or sponsor and a person is not required
to respond to, a collection of information unless it displays a
currently valid OMB control number. The OMB control numbers for the
EPA's regulations in 40 CFR are listed in 40 CFR part 9.
To comment on the Agency's need for this information, the accuracy
of the provided burden estimates and any suggested methods for
minimizing respondent burden, the EPA has established a public docket
for this rule, which includes this ICR, under Docket ID number Docket
ID Number EPA-HQ-OAR-2010-0895. Submit any comments related to the ICR
to the EPA and OMB. See ADDRESSES section at the beginning of this
notice for where to submit comments to the EPA. Send comments to OMB at
the Office of Information and Regulatory Affairs, Office of Management
and Budget, 725 17th Street NW., Washington, DC 20503,
[[Page 60279]]
Attention: Desk Office for the EPA. Since OMB is required to make a
decision concerning the ICR between 30 and 60 days after October 6,
2014, a comment to OMB is best assured of having its full effect if OMB
receives it by November 5, 2014. The final rule will respond to any OMB
or public comments on the information collection requirements contained
in this proposal.
C. Regulatory Flexibility Act
The Regulatory Flexibility Act (RFA) generally requires an agency
to prepare a regulatory flexibility analysis of any rule subject to
notice and comment rulemaking requirements under the Administrative
Procedure Act, or any other statute, unless the agency certifies that
the rule will not have a significant economic impact on a substantial
number of small entities. Small entities include small businesses,
small organizations and small governmental jurisdictions.
For purposes of assessing the impacts of this final rule on small
entities, small entity is defined as: (1) a small business as defined
by the Small Business Administration's (SBA) regulations at 13 CFR
121.201; (2) a small governmental jurisdiction that is a government of
a city, county, town, school district or special district with a
population of less than 50,000; and (3) a small organization that is
any not-for-profit enterprise that is independently owned and operated
and is not dominant in its field. For this source category, which has
the NAICS code 331110 (i.e., Electrometallurgical ferroalloy product
manufacturing), the SBA small business size standard is 1,000 employees
according to the SBA small business standards definitions.
After considering the economic impacts of today's action on small
entities, I certify that this action will not have a significant
economic impact on a substantial number of small entities. Neither of
the companies affected by this rule is considered to be a small entity
per the definition provided in this section.
D. Unfunded Mandates Reform Act
This action does not contain a federal mandate under the provisions
of Title II of the Unfunded Mandates Reform Act of 1995 (UMRA), 2
U.S.C. 1531-1538 for state, local, or tribal governments, or the
private sector. The action would not result in expenditures of $100
million or more for state, local and tribal governments, in aggregate,
or the private sector in any 1 year. This final action imposes no
enforceable duties on any state, local, or tribal governments, or the
private sector. Thus, this action is not subject to the requirements of
sections 202 or 205 of the UMRA.
This rule is also not subject to the requirements of section 203 of
UMRA because it contains no regulatory requirements that might
significantly or uniquely affect small governments as it contains no
requirements that apply to such governments nor does it impose
obligations upon them.
E. Executive Order 13132: Federalism
This action does not have federalism implications. It will not have
substantial direct effects on the states, on the relationship between
the national government and the states, or on the distribution of power
and responsibilities among the various levels of government, as
specified in Executive Order 13132. None of the facilities subject to
this action are owned or operated by state governments and, because no
new requirements are being promulgated, nothing in this action will
supersede state regulations. Thus, Executive Order 13132 does not apply
to this action.
F. Executive Order 13175: Consultation and Coordination With Indian
Tribal Governments
This action does not have tribal implications, as specified in
Executive Order 13175 (65 FR 67249, November 9, 2000). Thus, Executive
Order 13175 does not apply to this action. The EPA specifically
solicited comment on this action from tribal officials in the 2011
proposal and none were received during the comment period for that
proposal.
G. Executive Order 13045: Protection of Children From Environmental
Health Risks and Safety Risks
This action is not subject to Executive Order 13045 (62 FR 19885,
April 23, 1997) because the Agency does not believe the environmental
health risks or safety risks addressed by this action present a
disproportionate risk to children. The report, Analysis of Socio-
Economic Factors for Populations Living Near Ferroalloys Facilities,
shows that, prior to the implementation of the provisions included in
the proposal and this supplemental proposal, on a nationwide basis,
there are approximately 31,000 people exposed to a cancer risk at or
above 1-in-1 million and approximately 1,500 people exposed to a
chronic noncancer TOSHI greater than 1 due to emissions from the source
category. The percentages for all demographic groups, including
children 18 years and younger, are similar to or lower than their
respective nationwide percentages. Further, implementation of the
provisions included in this action is expected to significantly reduce
the number of at-risk people due to HAP emissions from these sources
(from up to 31,000 to about 6,600), providing significant benefit to
all the demographic groups in the at-risk population.
This rule is expected to reduce environmental impacts for everyone,
including children. This action establishes emissions limits at the
levels based on MACT, as required by the CAA. Based on our analysis, we
believe that this rule does not have a disproportionate impact on
children.
H. Executive Order 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use
This action is not a ``significant energy action'' as defined under
Executive Order 13211, because it is not likely to have a significant
adverse effect on the supply, distribution or use of energy. This
action will not create any new requirements that affect the energy
supply, distribution or use sectors.
I. National Technology Transfer and Advancement Act
Section 12(d) of the National Technology Transfer and Advancement
Act of 1995 (NTTAA), Public Law 104-113, 12(d) (15 U.S.C. 272 note)
directs the EPA to use voluntary consensus standards (VCS) in its
regulatory activities, unless to do so would be inconsistent with
applicable law or otherwise impractical. VCS are technical standards
(e.g., materials specifications, test methods, sampling procedures and
business practices) that are developed or adopted by VCS bodies. The
NTTAA directs the EPA to provide Congress, through OMB, explanations
when the agency decides not to use available and applicable VCS.
This supplemental proposal involves technical standards. The EPA
has decided to use EPA Methods 1, 2, 3A, 3B, 4, 5, 5D, 9, 10, 26A, 29,
30B, 316, CARB 429, SW-846 Method 3052, SW-846 Method 7471b and EPA
water Method 1631E of 40 CFR Part 60, Appendix A. No applicable VCS
were identified for EPA Methods 30B, 5D, 316, 1631E and CARB 429, SW-
846 Method 3052 and SW-846 Method 7471b.
Two VCS were identified acceptable alternatives to the EPA test
methods for the purposes of this rule. The VCS standard ANSI/ASME PTC
19-10-1981--Part 10, ``Flue and Exhaust Gas Analyses'' is an acceptable
alternative to Method 3B. The VCS ASTM D7520-09, ``Standard Test Method
for Determining the Opacity of a Plume in the Outdoor
[[Page 60280]]
Ambient Atmosphere'' is an acceptable alternative to Method 9 under
specified conditions. The Agency identified 18 VCS as being potentially
applicable to these methods cited in this rule. However, the EPA
determined that the 18 candidate VCS would not be practical due to lack
of equivalency, documentation, validation data and other important
technical and policy considerations. The 18 VCS and other information
and conclusions, including the search and review results, are in the
docket for this rule.
Under Sec. Sec. 63.7(f) and 63.8(f) of Subpart A of the General
Provisions, a source may apply to the EPA for permission to use
alternative test methods or alternative monitoring requirements in
place of any required testing methods, performance specifications, or
procedures in the proposed rule.
J. Executive Order 12898: Federal Actions To Address Environmental
Justice in Minority Populations and Low-Income Populations
Executive Order 12898 (59 FR 7629, February 16, 1994) establishes
federal executive policy on environmental justice. Its main provision
directs federal agencies, to the greatest extent practicable and
permitted by law, to make environmental justice part of their mission
by identifying and addressing, as appropriate, disproportionately high
and adverse human health or environmental effects of their programs,
policies and activities on minority populations and low-income
populations in the United States.
The EPA has determined that the current health risks posed by
emissions from this source category are unacceptable. There are up to
31,000 people nationwide that are currently subject to health risks
which may not be considered negligible (i.e., cancer risks greater than
1-in-1 million or chronic noncancer TOSHI greater than 1) due to
emissions from this source category. The demographic makeup of this
``at-risk'' population is similar to the national distribution for all
demographic groups. The proposed supplemental requirements along with
other proposed requirements (76 FR 72508) will reduce the number of
people in this at-risk group, from up to 31,000, to about 6,600 people.
Based on this analysis, the EPA has determined that the proposed
supplemental requirements will not have disproportionately high and
adverse human health or environmental effects on minority or low-income
populations because it increases the level of environmental protection
for all affected populations.
List of Subjects in 40 CFR Part 63
Air pollution control, Environmental protection, Hazardous
substances, Incorporation by reference, Reporting and recordkeeping
requirements.
Dated: September 4, 2014.
Gina McCarthy,
Administrator.
For the reasons stated in the preamble, part 63 of title 40,
chapter I, of the Code of Federal Regulations is proposed to be amended
as follows:
PART 63--[AMENDED]
0
1. The authority citation for part 63 continues to read as follows:
Authority: 42 U.S.C. 7401, et seq.
0
2. Section 63.14 is amended by:
0
a. Adding paragraph (b)(84);
0
b. Revising paragraph (i)(1);
0
c. Revising paragraph (p)(6) and adding paragraphs (p)(21) and (p)(22);
and
0
d. By adding paragraph (s).
Sec. 63.14 Incorporations by reference.
(b) * * *
(84) ASTM D7520-09, ``Standard Test Method for Determining the
Opacity in a Plume in an Outdoor Ambient Atmosphere,'' IBR approved for
Sec. Sec. 63.1625(b) and 63.1657(b).
* * * * *
(i) * * *
(1) ANSI/ASME PTC 19.10-1981, Flue and Exhaust Gas Analyses [Part
10, Instruments and Apparatus], issued August 31, 1981 IBR approved for
Sec. Sec. 63.309(k), 63. 772(e), 63.772(h), 63.865(b), 63.1282(d) and
(g), 63.1625(b), 63.3166(a), 63.3360(e), 63.3545(a), 63.3555(a),
63.4166(a), 63.4362(a), 63.4766(a), 63.4965(a), 63.5160(d), 63.9307(c),
63.9323(a), 63.11148(e), 63.11155(e), 63.11162(f), 63.11163(g),
63.11410(j), 63.11551(a), 63.11646(a), 63.11945, table 5 to subpart
DDDDD of this part, table 4 to subpart JJJJJ of this part, Table 5 of
subpart UUUUU of this part and table 1 to subpart ZZZZZ of this part.
* * * * *
(p) * * *
(6) SW-846-7471B, Mercury in Solid Or Semisolid Waste (Manual Cold-
Vapor Technique), Revision 2, February 2007, in EPA Publication No. SW-
846, Test Methods for Evaluating Solid Waste, Physical/Chemical
Methods, Third Edition, IBR approved for Sec. 63.1625(b), table 6 to
subpart DDDDD of this part and table 5 to subpart JJJJJJ of this part.
* * * * *
(21) SW-846-Method 3052, Microwave Assisted Acid Digestion Of
Siliceous and Organically Based Matrices, Revision 0, December 1996, in
EPA Publication No. SW-846, Test Methods for Evaluating Solid Waste,
Physical/Chemical Methods, Third Edition, IBR approved for Sec.
63.1625(b).
(22) Method 1631, Revision E: Mercury in Water by Oxidation, Purge
and Trap and Cold Vapor Atomic Fluorescence Spectrometry, August 2002
located at: https://water.epa.gov/scitech/methods/cwa/metals/mercury/upload/2007_07_10_methods_method_mercury_1631.pdf, IBR approved for
Sec. 63.1625(b).
* * * * *
(s) The following material is available from the California Air
Resources Board (CARB), 1102 Q Street, Sacramento, California 95814,
(https://www.arb.ca.gov/testmeth/).
(1) Method 429, Determination of Polycyclic Aromatic Hydrocarbon
(PAH) Emissions from Stationary Sources, Adopted September 1989,
Amended July 1997, IBR approved for Sec. 63.1625(b).
(2) [Reserved]
Subpart XXX--[Amended]
0
3. Section 63.1620 is added to read as follows:
Sec. 63.1620 Am I subject to this subpart?
(a) You are subject to this subpart if you own or operate a new or
existing ferromanganese and/or silicomanganese production facility that
is a major source or is co-located at a major source of hazardous air
pollutant emissions.
(b) You are subject to this subpart if you own or operate any of
the following equipment as part of a ferromanganese or silicomanganese
production facility:
(1) Open, semi-sealed, or sealed submerged arc furnace,
(2) Casting operations,
(3) Metal oxygen refining (MOR) process,
(4) Crushing and screening operations,
(5) Outdoor fugitive dust sources.
(c) A new affected source is any of the sources listed in paragraph
(b) of this section for which construction or reconstruction commenced
after [DATE OF FINAL RULE PUBLICATION IN THE FEDERAL REGISTER].
(d) Table 1 of this subpart specifies the provisions of subpart A
of this part that apply to owners and operators of ferromanganese and
silicomanganese production facilities subject to this subpart.
(e) If you are subject to the provisions of this subpart, you are
also subject to title V permitting requirements under 40 CFR parts 70
or 71, as applicable.
[[Page 60281]]
(f) Emission standards in this subpart apply at all times.
0
4. Section 63.1621 is added to read as follows:
Sec. 63.1621 What are my compliance dates?
(a) Existing affected sources must be in compliance with the
provisions specified in Sec. Sec. 63.1620 through 63.1629 no later
than [DATE 2 YEARS AFTER EFFECTIVE DATE OF FINAL RULE].
(b) Affected sources in existence prior to [DATE OF FINAL RULE
PUBLICATION IN THE FEDERAL REGISTER] must be in compliance with the
provisions specified in Sec. Sec. 63.1650 through 63.1661 by November
21, 2001 and until [DATE 2 YEARS AFTER EFFECTIVE DATE OF FINAL RULE].
As of [DATE 2 YEARS AFTER EFFECTIVE DATE OF FINAL RULE], the provisions
of Sec. Sec. 63.1650 through 63.1661 cease to apply to affected
sources in existence prior to [DATE OF FINAL RULE PUBLICATION IN THE
FEDERAL REGISTER]. The provisions of Sec. Sec. 63.1650 through 63.1661
remain enforceable at a source for its activities prior to [DATE 2
YEARS AFTER EFFECTIVE DATE OF FINAL RULE].
(c) If you own or operate a new affected source that commences
construction or reconstruction after [DATE OF FINAL RULE PUBLICATION IN
THE FEDERAL REGISTER], you must comply with the requirements of this
subpart by [DATE OF EFFECTIVE DATE OF FINAL RULE], or upon startup of
operations, whichever is later.
0
5. Section 63.1622 is added to read as follows:
Sec. 63.1622 What definitions apply to this subpart?
Terms in this subpart are defined in the Clean Air Act (Act), in
subpart A of this part, or in this section as follows:
Bag leak detection system means a system that is capable of
continuously monitoring particulate matter (dust) loadings in the
exhaust of a baghouse in order to detect bag leaks and other upset
conditions. A bag leak detection system includes, but is not limited
to, an instrument that operates on triboelectric, light scattering,
light transmittance, or other effect to continuously monitor relative
particulate matter loadings.
Capture system means the collection of components used to capture
the gases and fumes released from one or more emissions points and then
convey the captured gas stream to a control device or to the
atmosphere. A capture system may include, but is not limited to, the
following components as applicable to a given capture system design:
duct intake devices, hoods, enclosures, ductwork, dampers, manifolds,
plenums, fans and roofline ventilation systems.
Casting means the period of time from when molten ferroalloy is
removed from the tapping station until pouring into casting molds or
beds is completed. This includes the following operations: pouring
alloy from one ladle to another, slag separation, slag removal and
ladle transfer by crane, truck, or other conveyance.
Crushing and screening equipment means the crushers, grinders,
mills, screens and conveying systems used to crush, size and prepare
for packing manganese-containing materials, including raw materials,
intermediate products and final products.
Electric arc furnace means any furnace where electrical energy is
converted to heat energy by transmission of current between electrodes
partially submerged in the furnace charge.
Furnace process cycle means the period in which the furnace is
tapped to the time in which the furnace is tapped again and includes
periods of charging, smelting, tapping, casting and ladle raking. For
multiple furnaces operating within a single shop building, furnace
process cycle means a period sufficient to capture a full cycle of
charging, smelting, tapping, casting and ladle raking for each furnace
within the shop building.
Ladle treatment means a post-tapping process including metal and
alloy additions where chemistry adjustments are made in the ladle after
furnace smelting to achieve a specified product.
Local ventilation means hoods and ductwork designed to capture
process fugitive emissions close to the area where the emissions are
generated (e.g., tap hoods).
Metal oxygen refining (MOR) process means the reduction of the
carbon content of ferromanganese through the use of oxygen.
Outdoor fugitive dust source means a stationary source from which
hazardous air pollutant-bearing particles are discharged to the
atmosphere due to wind or mechanical inducement such as vehicle
traffic. Fugitive dust sources include plant roadways, yard areas and
outdoor material storage and transfer operations.
Plant roadway means any area at a ferromanganese and
silicomanganese production facility that is subject to plant mobile
equipment, such as forklifts, front end loaders, or trucks, carrying
manganese-bearing materials. Excluded from this definition are employee
and visitor parking areas, provided they are not subject to traffic by
plant mobile equipment.
Process fugitive emissions source means a source of hazardous air
pollutant emissions that is associated with a ferromanganese or
silicomanganese production facility and is not a fugitive dust source.
Process fugitive sources include emissions that escape capture from the
electric arc furnace, tapping operations, casting operations, ladle
treatment, MOR or crushing and screening equipment.
Roofline ventilation system means an exhaust system designed to
evacuate process fugitive emissions that collect in the roofline area
to a control device.
Shop building means the building which houses one or more electric
arc furnaces or other processes that generate process fugitive
emissions.
Shutdown means the cessation of operation of an affected source for
any purpose.
Startup means the setting in operation of an affected source for
any purpose.
Tapping emissions means the gases and emissions associated with
removal of product from the electric arc furnace under normal operating
conditions, such as removal of metal under normal pressure and movement
by gravity down the spout into the ladle and filling the ladle.
Tapping period means the time from when a tap hole is opened until
the time a tap hole is closed.
0
6. Section 63.1623 is added to read as follows:
Sec. 63.1623 What are the emissions standards for new, reconstructed
and existing facilities?
(a) Electric arc furnaces. You must install, operate and maintain
an effective capture system that collects the emissions from each
electric arc furnace operation (including charging, melting and tapping
operations and emissions from any vent stacks) and conveys the
collected emissions to a control device for the removal of the
pollutants specified in the emissions standards specified in paragraphs
(a)(1) through (a)(5) of this section.
(1) Particulate matter emissions. (i) You must not discharge
exhaust gases from each electric arc furnace operation containing
particulate matter in excess of 4.0 milligrams per dry standard cubic
meter (mg/dscm) into the atmosphere from any new or reconstructed
electric arc furnace.
(ii) You must not discharge exhaust gases from each electric arc
furnace operation containing particulate matter in excess of 25 mg/dscm
into the atmosphere from any existing electric arc furnace.
(2) Mercury emissions. (i) You must not discharge exhaust gases
from each
[[Page 60282]]
electric arc furnace operation containing mercury emissions in excess
of 17 [micro]g/dscm into the atmosphere from any new or reconstructed
electric arc furnace when producing ferromanganese.
(ii) You must not discharge exhaust gases from each electric arc
furnace operation containing mercury emissions in excess of 170
[micro]g/dscm into the atmosphere from any existing electric arc
furnace when producing ferromanganese.
(iii) You must not discharge exhaust gases from each electric arc
furnace operation containing mercury emissions in excess of 4.0
[micro]g/dscm into the atmosphere from any new or reconstructed
electric arc furnace when producing silicomanganese.
(iv) You must not discharge exhaust gases from each electric arc
furnace operation containing mercury emissions in excess of 12
[micro]g/dscm into the atmosphere from any existing electric arc
furnace when producing silicomanganese.
(3) Polycyclic aromatic hydrocarbon emissions. (i) You must not
discharge exhaust gases from each electric arc furnace operation
containing polycyclic aromatic hydrocarbon emissions in excess of 1,400
[micro]g/dscm into the atmosphere from any existing electric arc
furnace when producing ferromanganese.
(ii) You must not discharge exhaust gases from each electric arc
furnace operation containing polycyclic aromatic hydrocarbon emissions
in excess of 880 [micro]g/dscm into the atmosphere from any new or
reconstructed electric arc furnace when producing ferromanganese.
(iii) You must not discharge exhaust gases from each electric arc
furnace operation containing polycyclic aromatic hydrocarbon emissions
in excess of 120 [micro]g/dscm into the atmosphere from any existing
electric arc furnace when producing silicomanganese.
(iv) You must not discharge exhaust gases from each electric arc
furnace operation containing polycyclic aromatic hydrocarbon emissions
in excess of 72 [micro]g/dscm into the atmosphere from any new or
reconstructed electric arc furnace when producing silicomanganese.
(4) Hydrochloric acid emissions. (i) You must not discharge exhaust
gases from each electric arc furnace operation containing hydrochloric
acid emissions in excess of 180 [micro]g/dscm into the atmosphere from
any new or reconstructed electric arc furnace.
(ii) You must not discharge exhaust gases from each electric arc
furnace operation containing hydrochloric acid emissions in excess of
1,100 [micro]g/dscm into the atmosphere from any existing electric arc
furnace.
(5) Formaldehyde emissions. You must not discharge exhaust gases
from each electric arc furnace operation containing formaldehyde
emissions in excess of 201 [micro]g/dscm into the atmosphere from any
new, reconstructed or existing electric arc furnace.
(b) Process fugitive emissions. (1) You must install, operate and
maintain a capture system that is designed to collect 95 percent or
more of the emissions from the process fugitive emissions sources and
convey the collected emissions to a control device that is demonstrated
to meet the applicable emission limit specified in paragraph (a)(1) of
this section.
(2) The determination of 95-percent overall capture must be
demonstrated as required by Sec. 63.1624(a).
(3) You must not cause the emissions exiting from a shop building,
to exceed an average of 8 percent opacity.
(i) The opacity readings from the shop building must be taken every
15 seconds during the observed furnace process cycle and the 15 second
readings averaged to determine if the 8 percent opacity requirement has
been met.
(ii) If the average opacity reading from the shop building is
greater than 8 percent opacity during an observed furnace process
cycle, an additional two more furnace process cycles must be observed
within 7 days and the average opacity during the entire observation
periods must be less than 8 percent opacity.
(iii) At no time during operation may the average of any two
consecutive 6-minute blocks be greater than 20 percent opacity.
(c) Local ventilation emissions. If you operate local ventilation
to capture tapping, casting, or ladle treatment emissions and direct
them to a control device other than one associated with the electric
arc furnace, you must not discharge into the atmosphere any captured
emissions containing particulate matter in excess of 4.0 mg/dscm.
(d) MOR process. You must not discharge into the atmosphere from
any new, reconstructed or existing MOR process exhaust gases containing
particulate matter in excess of 3.9 mg/dscm.
(e) Crushing and screening equipment. You must not discharge into
the atmosphere from any new, reconstructed, or existing piece of
equipment associated with crushing and screening exhaust gases
containing particulate matter in excess of 13 mg/dscm.
(f) At all times, you must operate and maintain any affected
source, including associated air pollution control equipment and
monitoring equipment, in a manner consistent with safety and good air
pollution control practices for minimizing emissions. Determination of
whether such operation and maintenance procedures are being used will
be based on information available to the Administrator that may
include, but is not limited to, monitoring results, review of operation
and maintenance procedures, review of operation and maintenance records
and inspection of the source.
0
7. Section 63.1624 is added to read as follows:
Sec. 63.1624 What are the operational and work practice standards for
new, reconstructed and existing facilities?
(a) Process fugitive emissions sources. (1) You must prepare and at
all times operate according to, a process fugitive emissions
ventilation plan that documents the design and operations to achieve at
least 95 percent overall capture of process fugitive emissions. The
plan will be deemed to achieve this level of capture if it consists of
the following elements:
(i) Documentation of engineered hoods and secondary fugitive
capture systems designed according to the most recent, at the time of
construction, ventilation design principles recommended by the American
Conference of Governmental Industrial Hygienists (ACGIH). The process
fugitive emissions capture systems must be designed to achieve
sufficient air changes to evacuate the collection area frequently
enough to ensure process fugitive emissions are effectively collected
by the ventilation system and ducted to the control device(s). Include
a schematic for each building indicating duct sizes and locations, hood
sizes and locations, control device types, size and locations and
exhaust locations. The design plan must address variables that affect
capture efficiency such as operations that create cross-drafts and
describe protocol or design characteristics to minimize such events.
The design plan must identify the key operating parameters and
measurement locations to ensure proper operation of the system and
establish monitoring parameter values that reflect effective capture.
(ii) List of critical maintenance actions and the schedule to
conduct them.
(2) You must submit a copy of the process fugitive emissions
ventilation
[[Page 60283]]
plan to the designated permitting authority on or before the applicable
compliance date for the affected source as specified in Sec. 63.1621
in electronic format and whenever an update is made to the plan. The
requirement for you to operate the facility according to the written
process fugitives ventilation plan and specifications must be
incorporated in the operating permit for the facility that is issued by
the designated permitting authority under part 70 of this chapter.
(3) You must update the information required in paragraph (a)(1)
and (a)(2) of this section every 5 years or whenever there is a
significant change in variables that affect process fugitives
ventilation design such as the addition of a new process.
(b) Outdoor fugitive dust sources. (1) You must prepare and at all
times operate according to, an outdoor fugitive dust control plan that
describes in detail the measures that will be put in place to control
outdoor fugitive dust emissions from the individual fugitive dust
sources at the facility.
(2) You must submit a copy of the outdoor fugitive dust control
plan to the designated permitting authority on or before the applicable
compliance date for the affected source as specified in Sec. 63.1621.
The requirement for you to operate the facility according to a written
outdoor fugitive dust control plan must be incorporated in the
operating permit for the facility that is issued by the designated
permitting authority under part 70 of this chapter.
(3) You are permitted to use existing manuals that describe the
measures in place to control outdoor fugitive dust sources required as
part of a state implementation plan or other federally enforceable
requirement for particulate matter to satisfy the requirements of
paragraph (b)(1) of this section.
0
8. Section 63.1625 is added to read as follows:
Sec. 63.1625 What are the performance test and compliance
requirements for new, reconstructed and existing facilities?
(a) Performance testing. (1) All performance tests must be
conducted according to the requirements in Sec. 63.7 of subpart A.
(2) Each performance test in paragraphs (c)(1) and (c)(2) must
consist of three separate and complete runs using the applicable test
methods.
(3) Each run must be conducted under conditions that are
representative of normal process operations.
(4) Performance tests conducted on air pollution control devices
serving electric arc furnaces must be conducted such that at least one
tapping period, or at least 20 minutes of a tapping period, whichever
is less, is included in at least two of the three runs. The sampling
time for each run must be at least as long as three times the average
tapping period of the tested furnace, but no less than 60 minutes.
(5) You must conduct the performance tests specified in paragraph
(c) of this section under such conditions as the Administrator
specifies based on representative performance of the affected source
for the period being tested. Upon request, you must make available to
the Administrator such records as may be necessary to determine the
conditions of performance tests.
(b) Test methods. The following test methods in appendices of part
60 or 63 of this chapter or as specified elsewhere must be used to
determine compliance with the emission standards.
(1) Method 1 of Appendix A-1 of 40 CFR part 60 to select the
sampling port location and the number of traverse points.
(2) Method 2 of Appendix A-1 of 40 CFR part 60 to determine the
volumetric flow rate of the stack gas.
(3)(i) Method 3A or 3B of Appendix A-2 of 40 CFR part 60 (with
integrated bag sampling) to determine the outlet stack and inlet oxygen
and CO2 content.
(ii) You must measure CO2 concentrations at both the
inlet and outlet of the positive pressure fabric filter in conjunction
with the pollutant sampling in order to determine isokinetic sampling
rates.
(iii) As an alternative to EPA Reference Method 3B, ASME PTC-19-10-
1981-Part 10, ``Flue and Exhaust Gas Analyses'' may be used
(incorporated by reference, see 40 CFR 63.14).
(4) Method 4 of Appendix A-3 of 40 CFR part 60 to determine the
moisture content of the stack gas.
(5)(i) Method 5 of Appendix A-3 of 40 CFR part 60 to determine the
particulate matter concentration of the stack gas for negative pressure
baghouses and positive pressure baghouses with stacks.
(ii) Method 5D of Appendix A-3 of 40 CFR part 60 to determine
particulate matter concentration and volumetric flow rate of the stack
gas for positive pressure baghouses without stacks.
(iii) The sample volume for each run must be a minimum of 4.0 cubic
meters (141.2 cubic feet). For Method 5 testing only, you may choose to
collect less than 4.0 cubic meters per run provided that the filterable
mass collected (e.g., net filter mass plus mass of nozzle, probe and
filter holder rinses) is equal to or greater than 10 mg. If the total
mass collected for two of three of the runs is less than 10 mg, you
must conduct at least one additional test run that produces at least 10
mg of filterable mass collected (i.e., at a greater sample volume).
Report the results of all test runs.
(6) Method 30B of Appendix A-8 of 40 CFR part 60 to measure
mercury. Apply the minimum sample volume determination procedures as
per the method.
(7)(i) Method 26A of Appendix A-8 of 40 CFR part 60 to determine
outlet stack or inlet hydrochloric acid concentration.
(ii) Collect a minimum volume of 2 cubic meters.
(8)(i) Method 316 of Appendix A of 40 CFR part 63 to determine
outlet stack or inlet formaldehyde.
(ii) Collect a minimum volume of 1.0 cubic meter.
(9) Method 9 of Appendix A-4 of 40 CFR part 60 to determine
opacity. ASTM D7520-09, ``Standard Test Method for Determining the
Opacity of a Plume in the Outdoor Ambient Atmosphere'' may be used
(incorporated by reference, see 40 CFR 63.14) with the following
conditions:
(i) During the digital camera opacity technique (DCOT)
certification procedure outlined in Section 9.2 of ASTM D7520-09, you
or the DCOT vendor must present the plumes in front of various
backgrounds of color and contrast representing conditions anticipated
during field use such as blue sky, trees and mixed backgrounds (clouds
and/or a sparse tree stand).
(ii) You must also have standard operating procedures in place
including daily or other frequency quality checks to ensure the
equipment is within manufacturing specifications as outlined in Section
8.1 of ASTM D7520-09.
(iii) You must follow the recordkeeping procedures outlined in
Sec. 63.10(b)(1) for the DCOT certification, compliance report, data
sheets and all raw unaltered JPEGs used for opacity and certification
determination.
(iv) You or the DCOT vendor must have a minimum of four (4)
independent technology users apply the software to determine the
visible opacity of the 300 certification plumes. For each set of 25
plumes, the user may not exceed 20 percent opacity of any one reading
and the average error must not exceed 7.5 percent opacity.
(v) Use of this approved alternative does not provide or imply a
certification or validation of any vendor's hardware or software. The
onus to maintain and verify the certification and/or training of the
DCOT camera, software and operator in accordance with ASTM D7520-09 and
these requirements is on the
[[Page 60284]]
facility, DCOT operator and DCOT vendor.
(10) Methods to determine the mercury content of manganese ore
including a total metals digestion technique, SW-846 Method 3052 and a
mercury specific analysis method, SW-846 Method 7471b (Cold Vapor AA)
or Water Method 1631E (Cold Vapor Atomic Fluorescence).
(11) California Air Resources Board (CARB) Method 429,
Determination of Polycyclic Aromatic Hydrocarbon (PAH) Emissions from
Stationary Sources to determine total PAH emissions. The method is
available from California Resources Board, 1102 Q Street, Sacramento,
California 95814, (https://www.arb.ca.gov/testmeth/vol3/M_429.pdf).
(12) The owner or operator may use alternative measurement methods
approved by the Administrator following the procedures described in
Sec. 63.7(f) of subpart A.
(c) Compliance demonstration with the emission standards.
(1) Initial Performance Test. You must conduct an initial
performance test for air pollution control devices or vent stacks
subject to Sec. 63.1623(a), (b)(1) and (c) through (e) to demonstrate
compliance with the applicable emission standards.
(2) Periodic Performance Test. (i) You must conduct annual
particulate matter tests for wet scrubber air pollution control devices
subject to Sec. 63.1623(a)(1) to demonstrate compliance with the
applicable emission standards.
(ii) You must conduct particulate matter tests every five years for
fabric filter air pollution control devices subject to Sec.
63.1623(a)(1) to demonstrate compliance with the applicable emission
standards.
(iii) You must conduct annual mercury performance tests for wet
scrubber and fabric filter air pollution control devices or vent stacks
subject to Sec. 63.1623 (a)(2) to demonstrate compliance with the
applicable emission standards.
(iv) You must conduct ongoing performance tests every five years
for air pollution control devices or vent stacks subject to Sec.
63.1623(a)(3) through (a)(5), (b)(1) and (c) through (e) to demonstrate
compliance with the applicable emission standards.
(3) Compliance is demonstrated for all sources performing emissions
tests if the average concentration for the three runs comprising the
performance test does not exceed the standard.
(4) Operating Limits. You must establish parameter operating limits
according to paragraphs (c)(4)(i) through (c)(4)(iv) of this section.
Unless otherwise specified, compliance with each established operating
limit shall be demonstrated for each 24-hour operating day.
(i) For a wet particulate matter scrubber, you must establish the
minimum liquid flow rate and pressure drop as your operating limits
during the three-run performance test. If you use a wet particulate
matter scrubber and you conduct separate performance tests for
particulate matter, you must establish one set of minimum liquid flow
rate and pressure drop operating limits. If you conduct multiple
performance tests, you must set the minimum liquid flow rate and
pressure drop operating limits at the highest minimum hourly average
values established during the performance tests.
(ii) For a wet acid gas scrubber, you must establish the minimum
liquid flow rate and pH, as your operating limits during the three-run
performance test. If you use a wet acid gas scrubber and you conduct
separate performance tests for hydrochloric acid, you must establish
one set of minimum liquid flow rate and pH operating limits. If you
conduct multiple performance tests, you must set the minimum liquid
flow rate and pH operating limits at the highest minimum hourly average
values established during the performance tests.
(iii) For emission sources with fabric filters that choose to
demonstrate continuous compliance through bag leak detection systems
you must install a bag leak detection system according to the
requirements in Sec. 63.1626(d) and you must set your operating limit
such that the sum duration of bag leak detection system alarms does not
exceed 5 percent of the process operating time during a 6-month period.
(iv) If you choose to demonstrate continuous compliance through a
particulate matter CEMS, you must determine an operating limit
(particulate matter concentration in mg/dscm) during performance
testing for initial particulate matter compliance. The operating limit
will be the average of the PM filterable results of the three Method 5
or Method 5D of Appendix A-3 of 40 CFR part 60 performance test runs.
To determine continuous compliance, the hourly average PM
concentrations will be averaged on a rolling 30 operating day basis.
Each 30 operating day average would have to meet the PM operating
limit.
(d) Compliance demonstration with shop building opacity standards.
(1)(i) If you are subject to Sec. 63.1623(b), you must conduct opacity
observations of the shop building to demonstrate compliance with the
applicable opacity standards according to Sec. 63.6(h)(5), which
addresses the conduct of opacity or visible emission observations.
(ii) You must conduct the opacity observations according to EPA
Method 9 of 40 CFR part 60, Appendix A-4, for a period that includes at
least one complete furnace process cycle for each furnace.
(iii) You must conduct the opacity observations at least once per
week for each operating furnace.
(2) You must determine shop building opacity operating parameters
based on either monitoring data collected during the compliance
demonstration or established in an engineering assessment.
(i) If you choose to establish parameters based on the initial
compliance demonstration, you must simultaneously monitor parameter
values for one of the following: the capture system fan motor amperes
and all capture system damper positions, the total volumetric flow rate
to the air pollution control device and all capture system damper
positions, or volumetric flow rate through each separately ducted hood
that comprises the capture system. Subsequently you must monitor these
parameters according to Sec. 63.1626(h) and ensure they remain within
10 percent of the value recorded during the compliant opacity readings.
(ii) If you choose to establish parameters based on an engineering
assessment, then a design analysis shall include, for example,
specifications, drawings, schematics and ventilation system diagrams
prepared by the owner or operator or capture or control system
manufacturer or vendor that describes the shop building opacity system
ventilation design based on acceptable engineering texts. The design
analysis shall address vent stream characteristics and ventilation
system design operating parameters such as fan amps, damper position,
flow rate and/or other specified parameters.
(iii) You may petition the Administrator to reestablish these
parameter ranges whenever you can demonstrate to the Administrator's
satisfaction that the electric arc furnace operating conditions upon
which the parameter ranges were previously established are no longer
applicable. The values of these parameter ranges determined during the
most recent demonstration of compliance must be maintained at the
appropriate level for each applicable period.
(3) You will demonstrate continuing compliance with the opacity
standards by following the monitoring requirements specified in Sec.
63.1626(g) and the reporting and recordkeeping
[[Page 60285]]
requirements specified in Sec. 63.1628(b)(5).
(e) Compliance demonstration with the operational and work practice
standards--(1) Process fugitive emissions sources. You will demonstrate
compliance by developing and maintaining a process fugitives
ventilation plan, by reporting any deviations from the plan and by
taking necessary corrective actions to correct deviations or
deficiencies.
(2) Outdoor fugitive dust sources. You will demonstrate compliance
by developing and maintaining an outdoor fugitive dust control plan, by
reporting any deviations from the plan and by taking necessary
corrective actions to correct deviations or deficiencies.
(3) Baghouses equipped with bag leak detection systems. You will
demonstrate compliance with the bag leak detection system requirements
by developing analysis and supporting documentation demonstrating
conformance with EPA guidance and specifications for bag leak detection
systems in Sec. 60.57c(h).
0
9. Section 63.1626 is added to read as follows:
Sec. 63.1626 What monitoring requirements must I meet?
(a) Baghouse Monitoring. You must prepare and at all times operate
according to, a standard operating procedures manual that describes in
detail procedures for inspection, maintenance and bag leak detection
and corrective action plans for all baghouses (fabric filters or
cartridge filters) that are used to control process vents, process
fugitive, or outdoor fugitive dust emissions from any source subject to
the emissions standards in Sec. 63.1623.
(b) You must submit the standard operating procedures manual for
baghouses required by paragraph (a) of this section to the
Administrator or delegated authority for review and approval.
(c) Unless the baghouse is equipped with a bag leak detection
system, the procedures that you specify in the standard operating
procedures manual for inspections and routine maintenance must, at a
minimum, include the requirements of paragraphs (c)(1) and (c)(2) of
this section.
(1) You must observe the baghouse outlet on a daily basis for the
presence of any visible emissions.
(2) In addition to the daily visible emissions observation, you
must conduct the following activities:
(i) Weekly confirmation that dust is being removed from hoppers
through visual inspection, or equivalent means of ensuring the proper
functioning of removal mechanisms.
(ii) Daily check of compressed air supply for pulse-jet baghouses.
(iii) An appropriate methodology for monitoring cleaning cycles to
ensure proper operation.
(iv) Monthly check of bag cleaning mechanisms for proper
functioning through visual inspection or equivalent means.
(v) Quarterly visual check of bag tension on reverse air and
shaker-type baghouses to ensure that the bags are not kinked (kneed or
bent) or lying on their sides. Such checks are not required for shaker-
type baghouses using self-tensioning (spring loaded) devices.
(vi) Quarterly confirmation of the physical integrity of the
baghouse structure through visual inspection of the baghouse interior
for air leaks.
(vii) Semiannual inspection of fans for wear, material buildup and
corrosion through visual inspection, vibration detectors, or equivalent
means.
(d) Bag leak detection system. (1) For each baghouse used to
control emissions from an electric arc furnace, you must install,
operate and maintain a bag leak detection system according to
paragraphs (d)(2) through (d)(4) of this section, unless a system
meeting the requirements of paragraph (q) of this section, for a CEMS
and continuous emissions rate monitoring system, is installed for
monitoring the concentration of particulate matter. You may choose to
install, operate and maintain a bag leak detection system for any other
baghouse in operation at the facility according to paragraphs (d)(2)
through (d)(4) of this section.
(2) The procedures you specified in the standard operating
procedures manual for baghouse maintenance must include, at a minimum,
a preventative maintenance schedule that is consistent with the
baghouse manufacturer's instructions for routine and long-term
maintenance.
(3) Each bag leak detection system must meet the specifications and
requirements in paragraphs (d)(3)(i) through (d)(3)(viii) of this
section.
(i) The bag leak detection system must be certified by the
manufacturer to be capable of detecting PM emissions at concentrations
of 1.0 milligram per dry standard cubic meter (0.00044 grains per
actual cubic foot) or less.
(ii) The bag leak detection system sensor must provide output of
relative PM loadings.
(iii) The bag leak detection system must be equipped with an alarm
system that will alarm when an increase in relative particulate
loadings is detected over a preset level.
(iv) You must install and operate the bag leak detection system in
a manner consistent with the guidance provided in ``Office of Air
Quality Planning and Standards (OAQPS) Fabric Filter Bag Leak Detection
Guidance'' EPA-454/R-98-015, September 1997 (incorporated by reference)
and the manufacturer's written specifications and recommendations for
installation, operation and adjustment of the system.
(v) The initial adjustment of the system must, at a minimum,
consist of establishing the baseline output by adjusting the
sensitivity (range) and the averaging period of the device and
establishing the alarm set points and the alarm delay time.
(vi) Following initial adjustment, you must not adjust the
sensitivity or range, averaging period, alarm set points, or alarm
delay time, except as detailed in the approved standard operating
procedures manual required under paragraph (a) of this section. You
cannot increase the sensitivity by more than 100 percent or decrease
the sensitivity by more than 50 percent over a 365-day period unless
such adjustment follows a complete baghouse inspection that
demonstrates that the baghouse is in good operating condition.
(vii) You must install the bag leak detector downstream of the
baghouse.
(viii) Where multiple detectors are required, the system's
instrumentation and alarm may be shared among detectors.
(4) You must include in the standard operating procedures manual
required by paragraph (a) of this section a corrective action plan that
specifies the procedures to be followed in the case of a bag leak
detection system alarm. The corrective action plan must include, at a
minimum, the procedures that you will use to determine and record the
time and cause of the alarm as well as the corrective actions taken to
minimize emissions as specified in paragraphs (d)(4)(i) and (d)(4)(ii)
of this section.
(i) The procedures used to determine the cause of the alarm must be
initiated within 30 minutes of the alarm.
(ii) The cause of the alarm must be alleviated by taking the
necessary corrective action(s) that may include, but not be limited to,
those listed in paragraphs (d)(4)(i)(A) through (d)(4)(i)(F) of this
section.
(A) Inspecting the baghouse for air leaks, torn or broken filter
elements, or any other malfunction that may cause an increase in
emissions.
(B) Sealing off defective bags or filter media.
(C) Replacing defective bags or filter media, or otherwise
repairing the control device.
(D) Sealing off a defective baghouse compartment.
[[Page 60286]]
(E) Cleaning the bag leak detection system probe, or otherwise
repairing the bag leak detection system.
(F) Shutting down the process producing the particulate emissions.
(e) If you use a wet particulate matter scrubber, you must collect
the pressure drop and liquid flow rate monitoring system data according
to Sec. 63.1628, reduce the data to 24-hour block averages and
maintain the 24-hour average pressure drop and liquid flow-rate at or
above the operating limits established during the performance test
according to Sec. 63.1625(c)(4)(i).
(f) If you use curtains or partitions to prevent process fugitive
emissions from escaping the area around the process fugitive emission
source or other parts of the building, you must perform quarterly
inspections of the physical condition of these curtains or partitions
to determine if there are any tears or openings.
(g) Shop building opacity. In order to demonstrate continuous
compliance with the opacity standards in Sec. 63.1623, you must comply
with the requirements Sec. 63.1625(d)(1) and one of the monitoring
options in paragraphs (g)(1) or (g)(2) of this section. The selected
option must be consistent with that selected during the initial
performance test described in Sec. 63.1625(d)(2). Alternatively, you
may use the provisions of Sec. 63.8(f) to request approval to use an
alternative monitoring method.
(1) If you choose to establish operating parameters during the
compliance test as specified in Sec. 63.1625(d)(2)(i), you must meet
one of the following requirements.
(i) Check and record the control system fan motor amperes and
capture system damper positions once per shift.
(ii) Install, calibrate and maintain a monitoring device that
continuously records the volumetric flow rate through each separately
ducted hood.
(iii) Install, calibrate and maintain a monitoring device that
continuously records the volumetric flow rate at the inlet of the air
pollution control device and check and record the capture system damper
positions once per shift.
(2) If you choose to establish operating parameters during the
compliance test as specified in Sec. 63.1625(d)(2)(ii), you must
monitor the selected parameter(s) on a frequency specified in the
assessment and according to a method specified in the engineering
assessment
(3) All flow rate monitoring devices must meet the following
requirements:
(i) Be installed in an appropriate location in the exhaust duct
such that reproducible flow rate monitoring will result.
(ii) Have an accuracy 10 percent over its normal
operating range and be calibrated according to the manufacturer's
instructions.
(4) The Administrator may require you to demonstrate the accuracy
of the monitoring device(s) relative to Methods 1 and 2 of Appendix A-1
of part 60 of this chapter.
(5) Failure to maintain the appropriate capture system parameters
(e.g., fan motor amperes, flow rate and/or damper positions)
establishes the need to initiate corrective action as soon as
practicable after the monitoring excursion in order to minimize excess
emissions.
(h) Furnace Capture System. You must perform quarterly (once every
three months) inspections of the furnace fugitive capture system
equipment to ensure that the hood locations have not been changed or
obstructed because of contact with cranes or ladles, quarterly
inspections of the physical condition of hoods and ductwork to the
control device to determine if there are any openings or leaks in the
ductwork, quarterly inspections of the hoods and ductwork to determine
if there are any flow constrictions in ductwork due to dents or
accumulated dust and quarterly examinations of the operational status
of flow rate controllers (pressure sensors, dampers, damper switches,
etc.) to ensure they are operating correctly. Any deficiencies must be
recorded and proper maintenance and repairs performed.
(i) Requirements for sources using CMS. If you demonstrate
compliance with any applicable emissions limit through use of a
continuous monitoring system (CMS), where a CMS includes a continuous
parameter monitoring system (CPMS) as well as a continuous emissions
monitoring system (CEMS), you must develop a site-specific monitoring
plan and submit this site-specific monitoring plan, if requested, at
least 60 days before your initial performance evaluation (where
applicable) of your CMS. Your site-specific monitoring plan must
address the monitoring system design, data collection and the quality
assurance and quality control elements outlined in this section and in
Sec. 63.8(d). You must install, operate and maintain each CMS
according to the procedures in your approved site-specific monitoring
plan. Using the process described in Sec. 63.8(f)(4), you may request
approval of monitoring system quality assurance and quality control
procedures alternative to those specified in paragraphs (j)(1) through
(j)(6) of this section in your site-specific monitoring plan.
(1) The performance criteria and design specifications for the
monitoring system equipment, including the sample interface, detector
signal analyzer and data acquisition and calculations;
(2) Sampling interface location such that the monitoring system
will provide representative measurements;
(3) Equipment performance checks, system accuracy audits, or other
audit procedures;
(4) Ongoing operation and maintenance procedures in accordance with
the general requirements of Sec. 63.8(c)(1) and (c)(3);
(5) Conditions that define a continuous monitoring system that is
out of control consistent with Sec. 63.8(c)(7)(i) and for responding
to out of control periods consistent with Sec. 63.8(c)(7)(ii) and
(c)(8) or Appendix A to this subpart, as applicable; and
(6) Ongoing recordkeeping and reporting procedures in accordance
with provisions in Sec. 63.10(c), (e)(1) and (e)(2)(i) and Appendix A
to this subpart, as applicable.
(j) If you have an operating limit that requires the use of a CPMS,
you must install, operate and maintain each continuous parameter
monitoring system according to the procedures in paragraphs (j)(1)
through (j)(7) of this section.
(1) The continuous parameter monitoring system must complete a
minimum of one cycle of operation for each successive 15-minute period.
You must have a minimum of four successive cycles of operation to have
a valid hour of data.
(2) Except for periods of monitoring system malfunctions, repairs
associated with monitoring system malfunctions and required monitoring
system quality assurance or quality control activities (including, as
applicable, system accuracy audits and required zero and span
adjustments), you must operate the CMS at all times the affected source
is operating. A monitoring system malfunction is any sudden,
infrequent, not reasonably preventable failure of the monitoring system
to provide valid data. Monitoring system failures that are caused in
part by poor maintenance or careless operation are not malfunctions.
You are required to complete monitoring system repairs in response to
monitoring system malfunctions and to return the monitoring system to
operation as expeditiously as practicable.
(3) You may not use data recorded during monitoring system
malfunctions, repairs associated with monitoring system malfunctions,
or required
[[Page 60287]]
monitoring system quality assurance or control activities in
calculations used to report emissions or operating levels. You must use
all the data collected during all other required data collection
periods in assessing the operation of the control device and associated
control system.
(4) Except for periods of monitoring system malfunctions, repairs
associated with monitoring system malfunctions and required quality
monitoring system quality assurance or quality control activities
(including, as applicable, system accuracy audits and required zero and
span adjustments), failure to collect required data is a deviation of
the monitoring requirements.
(5) You must conduct other CPMS equipment performance checks,
system accuracy audits, or other audit procedures specified in your
site-specific monitoring plan at least once every 12 months.
(6) You must conduct a performance evaluation of each CPMS in
accordance with your site-specific monitoring plan.
(7) You must record the results of each inspection, calibration and
validation check.
(k) CPMS for measuring gaseous flow. (1) Use a flow sensor with a
measurement sensitivity of 5 percent of the flow rate or 10 cubic feet
per minute, whichever is greater,
(2) Check all mechanical connections for leakage at least every
month and
(3) Perform a visual inspection at least every 3 months of all
components of the flow CPMS for physical and operational integrity and
all electrical connections for oxidation and galvanic corrosion if your
flow CPMS is not equipped with a redundant flow sensor.
(l) CPMS for measuring liquid flow. (1) Use a flow sensor with a
measurement sensitivity of 2 percent of the flow rate and
(2) Reduce swirling flow or abnormal velocity distributions due to
upstream and downstream disturbances.
(m) CPMS for measuring pressure. (1) Minimize or eliminate
pulsating pressure, vibration and internal and external corrosion and
(2) Use a gauge with a minimum tolerance of 1.27 centimeters of
water or a transducer with a minimum tolerance of 1 percent of the
pressure range.
(3) Perform checks at least once each process operating day to
ensure pressure measurements are not obstructed (e.g., check for
pressure tap pluggage daily).
(n) CPMS for measuring pH. (1) Ensure the sample is properly mixed
and representative of the fluid to be measured.
(2) Check the pH meter's calibration on at least two points every
eight hours of process operation.
(o) Particulate Matter CEMS. If you are using a CEMS to measure
particulate matter emissions to meet requirements of this subpart, you
must install, certify, operate and maintain the particulate matter CEMS
as specified in paragraphs (q)(1) through (q)(4) of this section.
(1) You must conduct a performance evaluation of the PM CEMS
according to the applicable requirements of Sec. 60.13 and Performance
Specification 11 at 40 CFR part 60, Appendix B of this chapter.
(2) During each PM correlation testing run of the CEMS required by
Performance Specification 11 at 40 CFR part 60, Appendix B of this
chapter, PM and oxygen (or carbon dioxide) collect data concurrently
(or within a 30-to 60-minute period) by both the CEMS and by conducting
performance tests using Method 5 or 5D at 40 CFR part 60, Appendix A-3
or Method 17 at 40 CFR part 60, Appendix A-6 of this chapter.
(3) Perform quarterly accuracy determinations and daily calibration
drift tests in accordance with Procedure 2 at 40 CFR part 60, Appendix
F of this chapter. Relative Response Audits must be performed annually
and Response Correlation Audits must be performed every three years.
(4) Within 60 days after the date of completing each CEMS relative
accuracy test audit or performance test conducted to demonstrate
compliance with this subpart, you must submit the relative accuracy
test audit data and the results of the performance test in the as
specified in Sec. 63.1628(e).
0
10. Section 63.1627 is added to read as follows:
Sec. 63.1627 What notification requirements must I meet?
(a) You must comply with all of the notification requirements of
Sec. 63.9 of subpart A, General Provisions. Electronic notifications
are encouraged when possible.
(b)(1) You must submit the process fugitives ventilation plan
required under Sec. 63.1624(a), the outdoor fugitive dust control plan
required under Sec. 63.1624(b), the site-specific monitoring plan for
CMS required under Sec. 63.1626(i) and the standard operating
procedures manual for baghouses required under Sec. 63.1626(a) to the
Administrator or delegated authority along with a notification that you
are seeking review and approval of these plans and procedures. You must
submit this notification no later than [DATE 1 YEAR AFTER EFFECTIVE
DATE OF FINAL RULE]. For sources that commenced construction or
reconstruction after [DATE OF EFFECTIVE DATE OF FINAL RULE], you must
submit this notification no later than 180 days before startup of the
constructed or reconstructed ferromanganese or silicomanganese
production facility. For an affected source that has received a
construction permit from the Administrator or delegated authority on or
before [DATE OF EFFECTIVE DATE OF FINAL RULE], you must submit this
notification no later than [DATE 1 YEAR AFTER EFFECTIVE DATE OF FINAL
RULE].
(2) The plans and procedures documents submitted as required under
paragraph (b)(1) of this section must be submitted to the Administrator
in electronic format for review and approval of the initial submittal
and whenever an update is made to the procedure.
0
11. Section 63.1628 is added to read as follows:
Sec. 63.1628 What recordkeeping and reporting requirements must I
meet?
(a) You must comply with all of the recordkeeping and reporting
requirements specified in Sec. 63.10 of the General Provisions that
are referenced in Table 1 to this subpart.
(1) Records must be maintained in a form suitable and readily
available for expeditious review, according to Sec. 63.10(b)(1).
However, electronic recordkeeping and reporting is encouraged and
required for some records and reports.
(2) Records must be kept on site for at least two years after the
date of occurrence, measurement, maintenance, corrective action,
report, or record, according to Sec. 63.10(b)(1).
(b) You must maintain, for a period of five years, records of the
information listed in paragraphs (b)(1) through (b)(13) of this
section.
(1) Electronic records of the bag leak detection system output.
(2) An identification of the date and time of all bag leak
detection system alarms, the time that procedures to determine the
cause of the alarm were initiated, the cause of the alarm, an
explanation of the corrective actions taken and the date and time the
cause of the alarm was corrected.
(3) All records of inspections and maintenance activities required
under Sec. 63.1626(a) as part of the practices described in the
standard operating procedures manual for baghouses required under Sec.
63.1626(c).
(4) Electronic records of the pressure drop and water flow rate
values for wet scrubbers used to control particulate
[[Page 60288]]
matter emissions as required in Sec. 63.1626(e), identification of
periods when the 1-hour average pressure drop and water flow rate
values below the established minimum established and an explanation of
the corrective actions taken.
(5) Electronic records of the shop building capture system
monitoring required under Sec. 63.1626(g)(1) and (g)(2), as
applicable, or identification of periods when the capture system
parameters were not maintained and an explanation of the corrective
actions taken.
(6) Records of the results of quarterly inspections of the furnace
capture system required under Sec. 63.1626(h).
(7) Electronic records of the continuous flow monitors or pressure
monitors required under Sec. 63.1626(j) and (k) and an identification
of periods when the flow rate or pressure was not maintained as
required in Sec. 63.1626(e).
(8) Electronic records of the output of any CEMS installed to
monitor particulate matter emissions meeting the requirements of Sec.
63.1626(i)
(9) Records of the occurrence and duration of each startup and/or
shutdown.
(10) Records of the occurrence and duration of each malfunction of
operation (i.e., process equipment) or the air pollution control
equipment and monitoring equipment.
(11) Records that explain the periods when the procedures outlined
in the process fugitives ventilation plan required under Sec.
63.1624(a), the fugitives dust control plan required under Sec.
63.1624(b), the site-specific monitoring plan for CMS required under
Sec. 63.1626(i) and the standard operating procedures manual for
baghouses required under Sec. 63.1626(a).
(c) You must comply with all of the reporting requirements
specified in Sec. 63.10 of the General Provisions that are referenced
in Table 1 to this subpart.
(1) You must submit reports no less frequently than specified under
Sec. 63.10(e)(3) of the General Provisions.
(2) Once a source reports a violation of the standard or excess
emissions, you must follow the reporting format required under Sec.
63.10(e)(3) until a request to reduce reporting frequency is approved
by the Administrator.
(d) In addition to the information required under the applicable
sections of Sec. 63.10, you must include in the reports required under
paragraph (c) of this section the information specified in paragraphs
(d)(1) through (d)(7) of this section.
(1) Reports that explain the periods when the procedures outlined
in the process fugitives ventilation plan required under Sec.
63.1624(a), the fugitives dust control plan required under Sec.
63.1624(b), the site-specific monitoring plan for CMS required under
Sec. 63.1626(i) and the standard operating procedures manual for
baghouses required under Sec. 63.1626(a).
(2) Reports that identify the periods when the average hourly
pressure drop or flow rate of venturi scrubbers used to control
particulate emissions dropped below the levels established in Sec.
63.1626(e) and an explanation of the corrective actions taken.
(3) Bag leak detection system. Reports including the following
information:
(i) Records of all alarms.
(ii) Description of the actions taken following each bag leak
detection system alarm.
(4) Reports of the shop building capture system monitoring required
under Sec. 63.1626(g)(1) and (g)(2), as applicable, identification of
periods when the capture system parameters were not maintained and an
explanation of the corrective actions taken.
(5) Reports of the results of quarterly inspections of the furnace
capture system required under Sec. 63.1626(h).
(6) Reports of the CPMS required under Sec. 63.1626, an
identification of periods when the monitored parameters were not
maintained as required in Sec. 63.1626 and corrective actions taken.
(7) If a malfunction occurred during the reporting period, the
report must include the number, duration and a brief description for
each type of malfunction that occurred during the reporting period and
caused or may have caused any applicable emissions limitation to be
exceeded. The report must also include a description of actions taken
by an owner or operator during a malfunction of an affected source to
minimize emissions in accordance with Sec. 63.1623(f), including
actions taken to correct a malfunction.
(e) Within 60 days after the date of completing each CEMS relative
accuracy test audit or performance test conducted to demonstrate
compliance with this subpart, you must submit the relative accuracy
test audit data and the results of the performance test in the method
specified by paragraphs (e)(1) through (e)(2) of this section. The
results of the performance test must contain the information listed in
paragraph (e)(2) of this section.
(1)(i) Within 60 days after the date of completing each performance
test (as defined in Sec. 63.2), you must submit the results of the
performance tests, including any associated fuel analyses, required by
this subpart according to the methods specified in paragraphs
(e)(1)(i)(A) or (e)(1)(i)(B) of this section.
(A) For data collected using test methods supported by the EPA's
Electronic Reporting Tool (ERT) as listed on the EPA's ERT Web site
(https://www.epa.gov/ttn/chief/ert/), you must submit the
results of the performance test to the Compliance and Emissions Data
Reporting Interface (CEDRI) that is accessed through the EPA's Central
Data Exchange (CDX) (https://cdx.epa.gov/epa_home.asp), unless the
Administrator approves another approach. Performance test data must be
submitted in a file format generated through the use of the EPA's ERT.
Owners or operators, who claim that some of the information being
submitted for performance tests is confidential business information
(CBI), must submit a complete file generated through the use of the
EPA's ERT, including information claimed to be CBI, on a compact disk,
flash drive, or other commonly used electronic storage media to the
EPA. The electronic media must be clearly marked as CBI and mailed to
U.S. EPA/OAQPS/CORE CBI Office, Attention: WebFIRE Administrator, MD
C404-02, 4930 Old Page Rd., Durham, NC 27703. The same ERT file with
the CBI omitted must be submitted to the EPA via CDX as described
earlier in this paragraph.
(B) For any performance test conducted using test methods that are
not supported by the EPA's ERT as listed on the EPA's ERT Web site, the
owner or operator shall submit the results of the performance test to
the Administrator at the appropriate address listed in Sec. 63.13.
(ii) Within 60 days after the date of completing each CEMS
performance evaluation (as defined in Sec. 63.2), you must submit the
results of the performance evaluation according to the method specified
by either paragraph (b)(1) or (b)(2) of this section.
(A) For data collection of relative accuracy test audit (RATA)
pollutants that are supported by the EPA's ERT as listed on the EPA's
ERT Web site, you must submit the results of the performance evaluation
to the CEDRI that is accessed through the EPA's CDX, unless the
Administrator approves another approach. Performance evaluation data
must be submitted in a file format generated through the use of the
EPA's ERT. If you claim that some of the performance evaluation
information being transmitted is CBI, you must submit a complete file
generated through the use of the EPA's ERT, including information
claimed to be CBI, on a compact disk or other commonly used electronic
storage media (including, but not limited to,
[[Page 60289]]
flash drives) by registered letter to the EPA. The compact disk shall
be clearly marked as CBI and mailed to U.S. EPA/OAQPS/CORE CBI Office,
Attention: WebFIRE Administrator, MD C404-02, 4930 Old Page Rd.,
Durham, NC 27703. The same ERT file with the CBI omitted must be
submitted to the EPA via CDX as described earlier in this paragraph.
(B) For any performance evaluations with RATA pollutants that are
not supported by the EPA's ERT as listed on the EPA's ERT Web site, you
shall submit the results of the performance evaluation to the
Administrator at the appropriate address listed in Sec. 63.13.
(2) The results of a performance test shall include the purpose of
the test; a brief process description; a complete unit description,
including a description of feed streams and control devices; sampling
site description; pollutants measured; description of sampling and
analysis procedures and any modifications to standard procedures;
quality assurance procedures; record of operating conditions, including
operating parameters for which limits are being set, during the test;
record of preparation of standards; record of calibrations; raw data
sheets for field sampling; raw data sheets for field and laboratory
analyses; chain-of-custody documentation; explanation of laboratory
data qualifiers; example calculations of all applicable stack gas
parameters, emission rates, percent reduction rates and analytical
results, as applicable; and any other information required by the test
method, a relevant standard, or the Administrator.
0
12. Section 63.1629 is added to read as follows:
Sec. 63.1629 Who implements and enforces this subpart?
(a) This subpart can be implemented and enforced by the U.S. EPA,
or a delegated authority such as the applicable state, local, or tribal
agency. If the U.S. EPA Administrator has delegated authority to a
state, local, or tribal agency, then that agency, in addition to the
U.S. EPA, has the authority to implement and enforce this subpart.
Contact the applicable U.S. EPA Regional Office to find out if this
subpart is delegated to a state, local, or tribal agency.
(b) In delegating implementation and enforcement authority of this
subpart to a state, local, or tribal agency under subpart E of this
part, the authorities contained in paragraph (c) of this section are
retained by the Administrator of U.S. EPA and cannot be transferred to
the state, local, or tribal agency.
(c) The authorities that cannot be delegated to state, local, or
tribal agencies are as specified in paragraphs (c)(1) through (c)(4) of
this section.
(1) Approval of alternatives to requirements in Sec. Sec. 63.1620
and 63.1621 and 63.1623 and 63.1624.
(2) Approval of major alternatives to test methods under Sec.
63.7(e)(2)(ii) and (f), as defined in Sec. 63.90 and as required in
this subpart.
(3) Approval of major alternatives to monitoring under Sec.
63.8(f), as defined in Sec. 63.90 and as required in this subpart.
(4) Approval of major alternatives to recordkeeping and reporting
under Sec. 63.10(f), as defined in Sec. 63.90 and as required in this
subpart.
0
13. Section 63.1650 is amended by:
0
a. Revising paragraph (d);
0
b. Removing and reserving paragraph (e)(1); and
0
c. Revising paragraph (e)(2) to read as follows:
Sec. 63.1650 Applicability and Compliance Dates.
* * * * *
(d) Table 1 to this subpart specifies the provisions of subpart A
of this part that apply to owners and operators of ferroalloy
production facilities subject to this subpart.
(e) * * *
(1) [Reserved]
(2) Each owner or operator of a new or reconstructed affected
source that commences construction or reconstruction after August 4,
1998 and before October 6, 2014, must comply with the requirements of
this subpart by May 20, 1999 or upon startup of operations, whichever
is later.
14. Section 63.1652 is amended by adding paragraph (f) to read as
follows:
Sec. 63.1652 Emission standards.
* * * * *
(f) At all times, you must operate and maintain any affected
source, including associated air pollution control equipment and
monitoring equipment, in a manner consistent with safety and good air
pollution control practices for minimizing emissions. Determination of
whether such operation and maintenance procedures are being used will
be based on information available to the Administrator that may
include, but is not limited to, monitoring results, review of operation
and maintenance procedures, review of operation and maintenance records
and inspection of the source.
0
15. Section 63.1656 is amended by:
0
a. Adding paragraph (a)(6);
0
b. Revising paragraph (b)(7);
0
c. Revising paragraph (e)(1); and
0
d. Removing and reserving paragraph (e)(2)(ii) to read as follows:
Sec. 63.1656 Performance testing, test methods and compliance
demonstrations.
(a) * * *
(6) You must conduct the performance tests specified in paragraph
(c) of this section under such conditions as the Administrator
specifies based on representative performance of the affected source
for the period being tested. Upon request, you must make available to
the Administrator such records as may be necessary to determine the
conditions of performance tests.
(b) * * *
(7) Method 9 of Appendix A-4 of 40 CFR part 60 to determine
opacity. ASTM D7520-09, ``Standard Test Method for Determining the
Opacity of a Plume in the Outdoor Ambient Atmosphere'' may be used
(incorporated by reference, see 40 CFR 63.14) with the following
conditions:
(i) During the digital camera opacity technique (DCOT)
certification procedure outlined in Section 9.2 of ASTM D7520-09, the
owner or operator or the DCOT vendor must present the plumes in front
of various backgrounds of color and contrast representing conditions
anticipated during field use such as blue sky, trees and mixed
backgrounds (clouds and/or a sparse tree stand).
(ii) The owner or operator must also have standard operating
procedures in place including daily or other frequency quality checks
to ensure the equipment is within manufacturing specifications as
outlined in Section 8.1 of ASTM D7520-09.
(iii) The owner or operator must follow the recordkeeping
procedures outlined in Sec. 63.10(b)(1) for the DCOT certification,
compliance report, data sheets and all raw unaltered JPEGs used for
opacity and certification determination.
(iv) The owner or operator or the DCOT vendor must have a minimum
of four (4) independent technology users apply the software to
determine the visible opacity of the 300 certification plumes. For each
set of 25 plumes, the user may not exceed 15 percent opacity of any one
reading and the average error must not exceed 7.5 percent opacity.
(v) Use of this approved alternative does not provide or imply a
certification or validation of any vendor's hardware or software. The
onus to maintain and verify the certification and/or training of the
DCOT camera, software and operator in accordance with ASTM D7520-09 and
these requirements is on the facility, DCOT operator and DCOT vendor.
* * * * *
[[Page 60290]]
(e) * * *
(1) Fugitive dust sources. Failure to have a fugitive dust control
plan or failure to report deviations from the plan and take necessary
corrective action would be a violation of the general duty to ensure
that fugitive dust sources are operated and maintained in a manner
consistent with good air pollution control practices for minimizing
emissions per Sec. 63.1652(f).
(2) * * *
(ii) [Reserved]
* * * * *
0
16. Section 63.1657 is amended by:
0
a. Revising paragraph (a)(6);
0
b. Revising paragraph (b)(3); and
0
c. Revising paragraph (c)(7) to read as follows:
Sec. 63.1657 Monitoring requirements.
(a) * * *
(6) Failure to monitor or failure to take corrective action under
the requirements of paragraph (a) of this section would be a violation
of the general duty to operate in a manner consistent with good air
pollution control practices that minimizes emissions per Sec.
63.1652(f).
(b) * * *
(3) Failure to monitor or failure to take corrective action under
the requirements of paragraph (b) of this section would be a violation
of the general duty to operate in a manner consistent with good air
pollution control practices that minimizes emissions per Sec.
63.1652(f).
(c) * * *
(7) Failure to monitor or failure to take corrective action under
the requirements of paragraph (c) of this section would be a violation
of the general duty to operate in a manner consistent with good air
pollution control practices that minimizes emissions per Sec.
63.1652(f).
0
17. Section 63.1659 is amended by revising paragraph (a)(4) to read as
follows:
Sec. 63.1659 Reporting Requirements.
(a) * * *
(4) Reporting malfunctions. If a malfunction occurred during the
reporting period, the report must include the number, duration and a
brief description for each type of malfunction which occurred during
the reporting period and which caused or may have caused any applicable
emission limitation to be exceeded. The report must also include a
description of actions taken by an owner or operator during a
malfunction of an affected source to minimize emissions in accordance
with Sec. 63.1652(f), including actions taken to correct a
malfunction.
* * * * *
0
18. Section 63.1660 is amended by:
0
a. Revising paragraphs (a)(2)(i) and (a)(2)(ii); and
0
b. Removing and reserving paragraphs (a)(2)(iv) and (a)(2)(v) to read
as follows:
Sec. 63.1660 Recordkeeping Requirements.
(a) * * *
(2) * * *
(i) Records of the occurrence and duration of each malfunction of
operation (i.e., process equipment) or the air pollution control
equipment and monitoring equipment;
(ii) Records of actions taken during periods of malfunction to
minimize emissions in accordance with Sec. 63.1652(f), including
corrective actions to restore malfunctioning process and air pollution
control and monitoring equipment to its normal or usual manner of
operation;
* * * * *
(iv) [Reserved]
(v) [Reserved]
* * * * *
0
19. Add Table 1 to the end of subpart XXX to read as follows:
Table 1 to Subpart XXX of Part 63--General Provisions Applicability to
Subpart XXX
------------------------------------------------------------------------
Applies to subpart
Reference XXX Comment
------------------------------------------------------------------------
63.1........................ Yes ....................
63.2........................ Yes ....................
63.3........................ Yes ....................
63.4........................ Yes ....................
63.5........................ Yes ....................
63.6(a), (b), (c)........... Yes ....................
63.6(d)..................... No.................. Section reserved.
63.6(e)(1)(i)............... No.................. See 63.1623(g) and
63.1652(f) for
general duty
requirement.
63.6(e)(1)(ii).............. No ....................
63.6(e)(1)(iii)............. Yes ....................
63.6(e)(2).................. No.................. Section reserved.
63.6(e)(3).................. No ....................
63.6(f)(1).................. No ....................
6.6(f)(2)-(f)(3)............ Yes ....................
63.6(g)..................... Yes ....................
63.6(h)(1).................. No ....................
63.6(h)(2)-(h)(9)........... Yes ....................
63.6(i)..................... Yes ....................
63.6(j)..................... Yes ....................
Sec. 63.7(a)-(d).......... Yes ....................
Sec. 63.7(e)(1)........... No.................. See 63.1625(a)(5)
and 63.1656(a)(6)
Sec. 63.7(e)(2)-(e)(4).... Yes ....................
63.7(f), (g), (h)........... Yes ....................
63.8(a)-(b)................. Yes ....................
63.8(c)(1)(i)............... No.................. See 63.1623(g) and
63.1652(f) for
general duty
requirement.
63.8(c)(1)(ii).............. Yes ....................
63.8(c)(1)(iii)............. No ....................
63.8(c)(2)-(d)(2)........... Yes ....................
63.8(d)(3).................. Yes, except for last SSM plans are not
sentence. required.
63.8(e)-(g)................. Yes ....................
63.9(a),(b),(c),(e),(g),(h)( Yes ....................
1)through (3), (h)(5) and
(6), (i) and (j).
63.9(f)..................... Yes ....................
[[Page 60291]]
63.9(h)(4).................. No Reserved
63.10 (a)................... Yes ....................
63.10 (b)(1)................ Yes ....................
63.10(b)(2)(i).............. No ....................
63.10(b)(2)(ii)............. No See 63.1628 and
63.1660 for
recordkeeping of
(1) occurrence and
duration and (2)
actions taken
during malfunction.
63.10(b)(2)(iii)............ Yes ....................
63.10(b)(2)(iv)-(b)(2)(v)... No ....................
63.10(b)(2)(vi)-(b)(2)(xiv). Yes ....................
63.10)(b)(3)................ Yes ....................
63.10(c)(1)-(9)............. Yes ....................
63.10(c)(10)-(11)........... No See 63.1628 and
63.1660 for
malfunction
recordkeeping
requirements.
63.10(c)(12)-(c)(14)........ Yes ....................
63.10(c)(15)................ No ....................
63.10(d)(1)-(4)............. Yes ....................
63.10(d)(5)................. No.................. See 63.1628(d)(8)
and 63.1659(a)(4)
for malfunction
reporting
requirements.
63.10(e)-((f)............... Yes ....................
63.11....................... No.................. Flares will not be
used to comply with
the emission limits
63.12 to 63.15.............. Yes ....................
------------------------------------------------------------------------
[FR Doc. 2014-23266 Filed 10-3-14; 8:45 am]
BILLING CODE 6560-50-P