Amicus Curiae Brief — West Virginia, et al., Petitioners v. Environmental Protection Agency, et al.
Supreme Court briefJan 25, 2022
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No. 20-1530
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In The
Supreme Court of the United States
---------------------------------♦--------------------------------STATE OF WEST VIRGINIA, et al.,
Petitioners,
v.
UNITED STATES ENVIRONMENTAL
PROTECTION AGENCY, et al.,
Respondents.
---------------------------------♦--------------------------------On Writ Of Certiorari To The
United States Court Of Appeals
For The District Of Columbia Circuit
---------------------------------♦--------------------------------BRIEF OF AMICI CURIAE GRID EXPERTS
BENJAMIN F. HOBBS, BRENDAN KIRBY,
KENNETH J. LUTZ, AND JAMES D. MCCALLEY
IN SUPPORT OF RESPONDENTS
---------------------------------♦--------------------------------Of Counsel:
WILLIAM BOYD
UCLA SCHOOL OF LAW
405 Hilgard Avenue
Los Angeles, CA 90095
(310) 206-5280
boyd@law.ucla.edu
CARA A. HOROWITZ
Counsel of Record
ANDRIA SO
FRANK G. WELLS
ENVIRONMENTAL LAW CLINIC
UCLA SCHOOL OF LAW
405 Hilgard Ave.
Los Angeles, CA 90095
(310) 206-4033
horowitz.elc@law.ucla.edu
Counsel for Amici Curiae
================================================================================================================
COCKLE LEGAL BRIEFS (800) 225-6964
WWW.COCKLELEGALBRIEFS.COM
i
TABLE OF CONTENTS
Page
TABLE OF AUTHORITIES .................................
iii
STATEMENT OF INTEREST .............................
1
SUMMARY OF ARGUMENT ..............................
4
ARGUMENT ........................................................
8
I.
Effective Power-Sector Pollution Controls
Work with the Distinctive Characteristics
of Electricity and the Interconnectedness
of the Regional Grids .................................
8
A. Electricity Is a Uniquely Fungible and
“Real-Time” Good ................................
8
B. Each of the Three Regional Grids Operates as a Single Machine ................. 10
C. Dispatch Governance Frameworks Are
Designed to Facilitate Shifts Among
Generators and Ensure Affordable, Reliable Electricity .................................. 15
II.
Power Companies and Grid Operators
Have Historically Responded to Air Pollution Controls by Shifting to Lower-Emitting Generators.......................................... 16
A. Air Pollution Control Measures Ordinarily Affect Dispatch Order, Causing
Generation Shifting ............................. 17
B. The Clean Power Plan Went Further
by Embedding Generation Shifting in
its Definition of the Best System of
Emission Reduction ............................. 19
ii
TABLE OF CONTENTS—Continued
Page
C. To Reduce Power-Sector CO2 At Lower
Cost, Regulated Entities and States
Should Have The Flexibility to Employ Off-Site Measures ........................ 22
III.
CO2 Pollution Control Measures Are Incorporated Easily Into Power-Sector Operations ......................................................... 25
A. U.S. Power Sector Is Shifting Toward
Cleaner Energy Sources ...................... 25
B. Propping Up Coal Is Unnecessary for
Grid Reliability .................................... 28
CONCLUSION..................................................... 30
iii
TABLE OF AUTHORITIES
Page
CASES
Fed. Power Comm’n v. Fla. Power & Light Co.,
404 U.S. 453 (1972) ...................................................9
Gainesville Util. Dep’t v. Fla. Power Corp., 402
U.S. 515 (1971) ........................................................14
New York v. Fed. Energy Regulatory Comm’n,
535 U.S. 1 (2002) .......................................................9
STATUTES
42 U.S.C. § 7651 ..........................................................18
42 U.S.C. §7651o .........................................................18
FEDERAL REGISTER
80 Fed. Reg. 64,662 (Oct. 23, 2015) ...... 6, 13, 16, 20, 26
83 Fed. Reg. 44,746 (Aug. 31, 2018) ...........................22
84 Fed. Reg. 32,520 (Jul. 8, 2019) ....................... passim
OTHER AUTHORITIES
Analysis Grp., Electric System Reliability and
EPA’s Clean Power Plan: The Case of PJM
(2015) .......................................................................29
Elec. Reliability Council of Tex., 2018 State of
the Grid (2018) ........................................................29
iv
TABLE OF AUTHORITIES—Continued
Page
Emanuele Massetti et al., Oak Ridge Nat’l Lab.,
Environmental Quality and the U.S. Power
Sector: Air Quality, Water Quality, Land Use
and Environmental Justice (2017) .........................18
Energy Info. Admin., U.S. Battery Storage Market Trends (2018) .....................................................10
Environmental Integrity Project, Greenhouse
Gases from Power Plants 2005-2020: Rapid
Decline Exceeded Goals of EPA Clean Power
Plan (2021) ........................................................ 26, 27
EPA, Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2019 (2021) .........................27
EPA, Regulatory Impact Analysis for the Repeal
of the Clean Power Plan, and the Emission
Guidelines for Greenhouse Gas Emissions
from Existing Electric Utility Generating
Units (2019) ....................................................... 22, 26
GE Energy Consulting, PJM Renewable Integration Study: Executive Summary Report
(2014) .......................................................................30
ICF Int’l, Inc., Assessing Effects on the Power
Sector of Greenhouse Gas Emission Standards (Oct. 31, 2018), Docket No. EPA-HQOAR-2017-0355-24419 ...................................... 20, 22
IHS Markit, Ensuring Resilient and Efficient
Electricity Generation (2017) ..................................28
Mass. Inst. of Tech., The Future of the Electric
Grid (2011) ................................................................5
v
TABLE OF AUTHORITIES—Continued
Page
N. Am. Elec. Reliability Corp., 2021 Long-Term
Reliability Assessment (2021) .................................28
Nat’l Renewable Energy Lab., Eastern Renewable Generation Integration Study (2016) ................29
Nat’l Renewable Energy Lab., Inertia and the
Power Grid: A Guide Without the Spin (2020) .......29
Paul Hibbard et al., The Economic Impacts of the
Regional Greenhouse Gas Initiative on Nine
Northeast and Mid-Atlantic States (2018) .............19
Paul L. Joskow, Creating a Smarter U.S. Electricity Grid, 26 J. Econ. Persp. 29 (2012) ................10
Paul L. Joskow et al., The Market for Sulfur Dioxide Emissions, 4 Am. Econ. Rev. 669 (1998)........23
Phillip F. Schewe, The Grid: A Journey Through
the Heart of Our Electrified World (2007) ............ 5, 8
Thomas M. Jackson et al., Evaluating Soft Strategies for Clean-Air Compliance, 6 IEEE, Computer Applications in Power (1993) ........................18
U.S. Dep’t of Energy, North American Electric
Reliability Corporation Interconnections,
https://www.energy.gov/oe/downloads/northamerican-electric-reliability-corporationinterconnections ......................................................12
U.S. Dep’t of Energy, Staff Report to the Secretary on Electricity Markets and Reliability
(2017) .......................................................................28
1
STATEMENT OF INTEREST1
Amici are among the nation’s leading engineers
with expertise in the operation, structure, economics,
and reliability of the U.S. power system. They have expertise in grid structure, operations, economics, and
modernization; integration of renewable energy generation; and power-system reliability and planning.
Amici have a significant interest in the efficient functioning and regulation of the grid. To aid the Court’s
understanding of the technical matters at issue in this
case, this brief clarifies how and why the grids are designed and operated as they are; the implications of the
grids’ unique features for pollution controls; and how
pollution controls generally interact with grid operations and the industry.
Benjamin F. Hobbs is the Theodore M. and Kay
W. Schad Professor in Environmental Management in
the Department of Environmental Health and Engineering at Johns Hopkins University (JHU). He has
a joint appointment in the Department of Applied
Mathematics and Statistics, and codirects the YaleJohns Hopkins Solutions for Energy, Air, Climate &
Health Center. He is also on the Leadership Council of
the JHU O’Connor Sustainable Energy Institute. His
research focuses on electric power and energy market
planning, risk analysis, and environmental and energy
systems analysis and economics. He is Chair of the
1
No counsel for a party authored this brief in whole or in
part, and no person other than amici made a monetary contribution intended to fund the preparation or submission of this brief.
The parties have all consented to the filing of this brief.
2
California Independent System Operator Market Surveillance Committee and a Fellow at the Institute of
Electrical and Electronics Engineers and the Institute
of Operations Research and Management Science. He
was also a consultant to the PJM Independent System
Operator and developed the methodology it uses to create its capacity market demand curve. From 1995 to
2002, he was consultant to the Federal Energy Regulatory Commission’s Office of the Economic Advisor. He
holds a Ph.D. in Civil and Environmental Engineering
from Cornell University.
Brendan Kirby is a private consultant with clients including the Hawaii Public Utilities Commission,
Grid Lab, National Renewable Energy Laboratory, Energy Systems Integration Group, Electric Power Research Institute, American Wind Energy Association,
Oak Ridge National Laboratory, and others. He has
forty-seven years of electric grid experience, and has
published over 180 papers, articles, book chapters, and
reports on power system reliability and integrating
renewable energy generation into the power grid. He
was a member of the North American Electric Reliability Corporation’s Essential Reliability Services Task
Force, and previously served on its Standards Committee. He retired from the Oak Ridge National Laboratory’s Power Systems Research Program. He is a
Licensed Professional Engineer with an M.S. degree in
Electrical Engineering (Power Option) from CarnegieMellon University and a B.S. in Electrical Engineering
from Lehigh University.
3
Kenneth J. Lutz is an Affiliated Professor in the
Department of Electrical and Computer Engineering
at University of Delaware, where he does research and
teaches specially designed courses on the modernization of the electric grid. He has decades of experience
in the regulation of utilities. He founded AMR Strategies, LLC, to help utilities modernize their grids. Previously, he served as an IEEE/American Association
for the Advancement of Science Congressional Fellow
for United States Senator Ron Wyden, where he played
a key role in drafting federal legislation for renewable
energy and energy efficiency. He has a Ph.D. in electrical engineering from the Johns Hopkins University
and a B.E.E. from the University of Delaware.
James D. McCalley is an Anson Marston Distinguished Professor and the London Chaired Professor
of Power System Engineering in the Electrical and
Computer Engineering Department at Iowa State University. He has graduated thirty-five Ph.D. students
under his supervision and is the author of over 280
publications in electric power systems engineering.
His areas of research include: transmission planning,
power-system security, power-system dynamics, wind
energy, long-term investment planning for energy
and transportation systems at the national level, and
power-system decision problems under uncertainty, including those encountered in operations and planning.
Dr. McCalley has been an IEEE Fellow since 2004. He
chaired the IEEE Power and Energy Society’s Subcommittee on Risk, Reliability, and Probability Applications from 2004 to 2006. He has been involved in the
4
International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) since PMAPS-4 in
1994 and served as General Chair of PMAPS-8. Prior
to joining the Iowa State University faculty, from 1985
to 1990, he was a Transmission Planning Engineer
with Pacific Gas and Electric Company in San Francisco, California, and a licensed professional engineer.
He holds Ph.D., M.S., and B.S. degrees in electrical engineering from the Georgia Institute of Technology.
---------------------------------♦---------------------------------
SUMMARY OF ARGUMENT
Effective air pollution controls for the U.S. power
sector work with the interconnected design and operation of the U.S. electric grids. When regulating carbon
dioxide, just as when regulating any other air pollutant in this sector, the U.S. Environmental Protection
Agency (“EPA”) must give appropriate consideration to
grid design and operation. Fundamental characteristics of the electric grids mean that in response to any
air pollution control measure, operators may shift
power generation from higher-emitting to lower-emitting sources, a result known as “generation shifting.”
Generation shifting is an ordinary consequence of
workaday pollution-control rules.
Recognizing this, regulators designing the Clean
Power Plan went a step further: They calibrated that
rule’s emission limitations in reliance on an achievable, and significant, degree of generation shifting. A
key issue in this case is whether the Clean Air Act
5
(“Act”) authorizes regulators to take that approach.
However that legal question is resolved, grid engineers
and operators understand that any pollution control
measure may lead to generation shifts, for reasons described below. Moreover, pollution control measures for
carbon dioxide (“CO2”), as for other air pollutants, are
incorporated easily into grid workings and change
nothing about the fundamentals of the sector.
Engineers have declared the U.S. power system as
the largest, “most complex machine ever made.” Phillip
F. Schewe, The Grid: A Journey Through the Heart of
Our Electrified World 1 (2007); see also Mass. Inst. of
Tech., The Future of the Electric Grid 1 (2011). Every
electric generator in the continental United States is
embedded within one of three regional grids and linked
to other generators and consumers through transmission and distribution lines. Each grid operates as a single
integrated machine. The fundamental purpose of each
machine’s interconnectedness is to allow grid operators
to continuously balance electricity supply and demand in
real time, over vast regions, thus ensuring all consumers
access to affordable and reliable power. This feat is accomplished through orchestrated, second-by-second shifts
among different generators, facilitated by the grids’
physical structure and design and by complex dispatch
software and regional spot electricity markets. The use
of any individual generator is thus dependent on the
performance of other components of the machine.
Amici emphasize three key points:
First, effective power-sector emission controls reflect grid operations, which are defined
6
by fundamental characteristics of electricity
and of the infrastructure and markets that connect and coordinate power generation and demand. The power sector has distinctive operational
features that create both opportunities and challenges
for pollution control, and EPA must account for these
features in determining the Best System of Emission
Reduction (“BSER”) under Section 111(d) of the Act.
For example, a defining feature of the three regional
grids is that each operates as a single, interconnected
machine. Governance frameworks for the dispatch of
electricity are designed to facilitate seamless shifts
among generators to ensure affordable, reliable electricity. For these reasons, the most effective and least
costly CO2 pollution control measures for the power
sector allow for shifting of generation to lower-emitting
generators. The approach taken in the Clean Power
Plan (“CPP”) accomplished this by including shifts
from higher-emitting to lower-emitting generators as
part of its definition of the Best System of Emission
Reduction. See 80 Fed. Reg. 64,662, 64,717 (Oct. 23,
2015), J.A. 273–1445, rescinded by “Repeal of the Clean
Power Plan; Emission Guidelines for Greenhouse Gas
Emissions From Existing Electric Utility Generating
Units; Revisions to Emission Guidelines Implementing
Regulations,” 84 Fed. Reg. 32,520 (Jul. 8, 2019), J.A.
1725–2030 (“Rule” or “ACE Rule”). In other words, EPA
relied on generation shifting in defining the BSER and
in setting the Clean Power Plan’s required degree of
emission-reduction stringency.
7
Second, any air pollution standard applied
to the power sector may induce generationshifting effects, even if it is not designed—as
the Clean Power Plan was—in reliance on such
shifts. All power-sector environmental regulation may
affect operating costs or constrain operation of regulated entities. Given the interconnected nature of the
power grid, this may cause dispatch to shift to units
whose relative costs decrease. Regulators have long
incorporated this feature of grid operations into the
design of pollution controls to minimize costs of compliance. Generation shifting is an ordinary consequence of all power-sector pollution controls. Moreover,
industry experts understand that the easiest, cheapest, and best way to reduce CO2 emissions from coalfired power plants is to shift generation away from
those plants and toward cleaner sources of energy.
Third, pollution control measures blend
seamlessly into power-sector operations and
change nothing about the fundamentals of the
sector. Pollution control measures are business-asusual for this industry and are incorporated easily into
grid workings and dispatch. This is as true for CO2 as
for other air pollutants: Regulating CO2 pollution from
the power sector reduces harms to human health
without significantly affecting grid operations or
risking reliability. Because renewable sources of power
are now cheaper than or cost-competitive with fossil
fuel generation, regulation of power-sector CO2 emissions builds on existing energy-sector trends in a way
8
that reinforces, rather than disrupts, longstanding industry practices.
---------------------------------♦---------------------------------
ARGUMENT
I.
Effective Power-Sector Pollution Controls
Work with the Distinctive Characteristics
of Electricity and the Interconnectedness
of the Regional Grids.
The fungible nature of electricity and the need to
instantaneously and continuously balance supply and
demand in real time have driven the design of the
world’s most “complex machine”—the U.S. power system. Schewe at 1. Every generator in the continental
United States is embedded within one of three regional, interconnected electric grids. To ensure that
consumers receive reliable, affordable power that
meets environmental standards, each grid is designed
and operated specifically to facilitate, within its respective region, shifts among different generators. Shifting
among generators is both unique to the power sector
and an essential, routine feature of grid operations.
Regulators have long harnessed these shifts as an efficient tool to reduce power-sector air pollution.
A. Electricity Is a Uniquely Fungible and
“Real-Time” Good.
Electricity has two fundamental distinguishing
features. First, electricity is fungible. In the continental United States, “any electricity that enters the grid
9
immediately becomes a part of a vast pool of energy
that is constantly moving in interstate commerce.”
New York v. Fed. Energy Regulatory Comm’n, 535 U.S.
1, 7 (2002). Electricity moves across the grid according
to the laws of physics, following the path of least resistance. It cannot be directed (like an e-mail or package) to a particular recipient.
Second-by-second variation in withdrawals of electricity (demand) is balanced by injections of electricity
from generators connected to the grid (supply), by responding to the frequency variation that those imbalances cause. The frequency is analogous to the water
level in a swimming pool fed by many spigots located
around the pool’s edges. When the water level (frequency) increases, the water supply (generation) decreases, and vice versa. All spigots have the same effect
on maintaining a constant water level, independent of
their location around the pool (grid). For example, “If
[someone] in Atlanta on the Georgia system turns on a
light, every generator on Florida’s system almost instantly is caused to produce some quantity of additional electric energy which serves to maintain the
balance in the interconnected system.” Fed. Power
Comm’n v. Fla. Power & Light Co., 404 U.S. 453, 460
(1972) (citation omitted).
Electricity that is added to the grid energizes the
entire grid. Generators do not “generate” electrons and
consumers do not “consume” electrons, as is commonly
believed—electric power is injected into and withdrawn from the grid. An electromagnetic wave, propagated by generators, moves at the speed of light along
10
wires. Electrons in an alternating current network
merely move back and forth at a frequency of sixty
cycles per second. Because all electricity within a
grid is pooled, the electric power added by any single
generator becomes part of this undifferentiated supply.
As with water added to a pool, consumers cannot distinguish coal-generated power from solar-generated
power once it is injected into the grid.
The second distinctive feature of electricity is that
it is only beginning to be able to be stored economically
on a large scale. The present difficulty of storing large
amounts of electricity means generation (supply) and
load (demand) must continuously and precisely be balanced. This makes electricity the ultimate “just-intime” product. See Paul L. Joskow, Creating a Smarter
U.S. Electricity Grid, 26 J. Econ. Persp. 29, 33 (2012);
but see Energy Info. Admin., U.S. Battery Storage Market Trends 4 (2018) (noting rapid advances in energy
storage technology that may someday overcome this
hurdle). As battery technology advances and costs decline, utilities are gaining greater experience with energy storage, enabling higher penetrations of wind and
solar generation and enhancing reliable operations
with reduced fossil-fueled generation.
B. Each of the Three Regional Grids Operates as a Single Machine.
The infrastructure necessary to balance supply
and demand distinguishes the power system from any
other industry or supply chain. Its defining feature is
11
interconnection. Each of the three regional grids, or
“interconnections”—Eastern, Western, and Texas—operates as a single, synchronized machine.2
2
Hawaii and Alaska have their own grids.
12
Figure 1. U.S. Power-System Interconnections3
3
U.S. Dep’t of Energy, North American Electric Reliability
Corporation Interconnections, https://www.energy.gov/oe/downloads/
north-american-electric-reliability-corporation-interconnections.
13
Each of the grids consists of three components essential to delivering reliable and cost-effective power
to consumers: generation, transmission, and distribution. First, a diverse set of generators converts primary
energy (such as coal, sunlight, or wind) into electricity.
Second, within each grid, a giant network of high-voltage transmission lines allows power to flow where it is
needed, sometimes over hundreds or even thousands
of miles. The transmission network is crucial because
many generators are located far from population centers. The transmission network also facilitates system
reliability: If one line goes down, electricity can flow
through alternate routes; when a generator fails, other
generators can pick up the load smoothly without a
power interruption. Third, local substations receive
electricity from high-voltage transmission lines and
lower the voltage for delivery to consumers via local
distribution networks.
Grid interconnectedness is a product of history.
The first power plants constructed in the late 1800s initially served only a small set of local customers.
Backup generators maintained reliability. Local systems gradually consolidated to reduce costs and improve reliability. Consolidation required local systems
to become interconnected through transmission lines.
Networks continued to grow, ultimately giving rise to
the three interconnections. 80 Fed. Reg. at 64,690–92,
J.A. 401–13.
Today, each of the three interconnections is highly
coordinated to maintain reliability. The balancing of
generation and load must be virtually instantaneous
14
across each interconnection, such that the amount of
power dispatched to the grid is identical to the amount
withdrawn for end uses in real time. Like orchestra
conductors signaling entrances and cut-offs, grid operators use automated systems to signal particular generators to dispatch more or less power to the grid as
needed over the course of the day, thus ensuring that
power pooled on the grid rises and falls to meet changing demand.
As components of an integrated machine, each
generator is interdependent with every other generator, and routine operations are coordinated by grid operators. Because the performance and usage of their
units depends on the operation of other units outside
their control, power companies regularly coordinate
with each other to plan new investments, plan unit retirements, and balance their respective systems—for
example, through joint dispatch arrangements (which
pool the generation sources of multiple utilities to reduce operating costs and increase reliability), joint
power-plant ownership agreements, bilateral power
purchase agreements, and short-term balancing transactions. As this Court has recognized, “generating facilities cannot be maintained on the basis of a constant
demand.” Gainesville Util. Dep’t v. Fla. Power Corp.,
402 U.S. 515, 518 (1971). Coordinated planning is critical to ensure there is always adequate generation to
meet expected regional demand, plus additional capacity in case generators fail during times of peak demand. Id.
15
C. Dispatch Governance Frameworks Are
Designed to Facilitate Shifts Among
Generators and Ensure Affordable, Reliable Electricity.
Regional energy governance frameworks keep the
“complex machine” operating reliably. Although governance differs within and across the three interconnections, the standard approach all grid operators use
to dispatch generation is called “Security Constrained
Unit Commitment and Economic Least-Cost Dispatch”
(hereinafter “Constrained Least-Cost Dispatch” for
brevity). As its name implies, Constrained Least-Cost
Dispatch deploys generators with the lowest variable
costs first, as system operational limits allow, until all
demand is satisfied. Constraints that grid operators
routinely consider include transmission limits, generators’ physical constraints, and environmental standards.
In competitive wholesale markets, which govern
about two-thirds of the power sector, federally regulated
entities called Independent System Operators (“ISOs”)
or Regional Transmission Organizations (“RTOs”) use
a series of auctions to match generation and load. Generators bid into a regional market with a price at which
they are willing to sell electricity during specified periods, and the ISO/RTO ranks bids according to Constrained Least-Cost Dispatch principles. In traditional
cost-of-service states outside of ISOs/RTOs, utilities use
generators’ marginal costs, rather than bid prices, to
determine dispatch order. In these ways, Constrained
16
Least-Cost Dispatch principles guide all dispatch planning across the country.
Dispatch and the necessary planning for it occur
on multiple scales—yearly, seasonally, monthly, weekly,
daily, hourly, and five-minute intervals—as grid operators respond to variable supply, demand, and operational constraints by managing shifts among different
generators. In both organized markets and traditional
cost-of-service regimes, renewable energy generators
typically receive dispatch priority because they have
lower variable costs than fossil-fuel-fired generators,
which must purchase fuel. 80 Fed. Reg. at 64,693, J.A.
413–15.
Power companies recognize that their units are
subject to Constrained Least-Cost Dispatch and have
long planned their operations and investments accordingly. Power companies routinely execute contracts to
purchase power from third-party generators; invest in
demand-side energy efficiency programs; invest in battery storage facilities; and, as existing units retire, invest in more efficient and cost-competitive generation
facilities, such as natural gas and renewable sources,
to compete for dispatch priority.
II.
Power Companies and Grid Operators
Have Historically Responded to Air Pollution Controls by Shifting to Lower-Emitting Generators.
Because electricity is a unique good that requires
each regional grid to operate synchronously, the power
17
sector is designed to allow constant, real-time shifting
among generators to maintain a balanced grid. These
distinctive characteristics of the power grid mean that
pollution controls for the power sector can easily lead
to shifts to lower-emitting sources of power.
Among pollution control measures that result in
such generation shifts, an important distinction exists
between those that affect dispatch order only incidentally, by affecting relative costs—which nearly all
pollution control measures do—and the Clean Power
Plan, which determined its degree of emission limitation in reliance on generation shifting, built into its
definition of the Best System of Emission Reduction.
A. Air Pollution Control Measures Ordinarily Affect Dispatch Order, Causing
Generation Shifting.
All power-sector environmental regulations impact dispatch, either by increasing or decreasing the
relative operating costs of affected sources or by constraining their operations. Because grid operators in
both organized markets and traditional cost-of-service
regimes employ Constrained Least-Cost Dispatch
principles, a unit that experiences a cost increase or
operational constraint will tend to operate less often,
while units whose costs decrease will be dispatched
more. Existing pollution regulations already affect
the dispatch competitiveness of fossil-fuel-fired power
plants. Under Constrained Least-Cost Dispatch, fuel
costs and other costs are treated identically; the
18
cheapest overall generation, once variable costs are accounted for, is used.
Effective air pollution controls account for and utilize this tendency toward generation shifting. Congress, EPA, and state regulators have long recognized
that a systemwide approach to reducing pollution
works most efficiently with grid operations. They have
accordingly harnessed shifts among generators as an
economical tool to reduce harmful air emissions.
One highly-regarded example of a pollution control program that resulted in generation shifting is the
Clean Air Act’s Acid Rain Program, which set a nationwide cap on sulfur dioxide emissions from fossil-fuelfired generators and required affected generators to
hold a tradable allowance for each ton of sulfur dioxide
emitted. 42 U.S.C. §§ 7651–7651o; see also Emanuele
Massetti et al., Oak Ridge Nat’l Lab., Environmental
Quality and the U.S. Power Sector: Air Quality, Water
Quality, Land Use and Environmental Justice 20
(2017). The allowance requirement increased the costs
of regulated units, which decreased the dispatch competitiveness of those units and led some to reduce their
generation. That, in turn, led grid operators to dispatch
cheaper, less-polluting generators to meet consumer
demand. Industry quickly recognized that incorporating allowance costs into dispatch planning was costeffective and did not disrupt power reliability or normal grid operations. See Thomas M. Jackson et al.,
Evaluating Soft Strategies for Clean-Air Compliance,
6 IEEE, Computer Applications in Power 46 (1993).
19
Industry was thus empowered to achieve the program’s emissions targets, in part, through generation
shifting.
The Regional Greenhouse Gas Initiative (“RGGI”)
provides an example of these dynamics at work to control carbon dioxide. RGGI is a cap-and-trade program
for power-sector CO2 pollution in eleven northeast and
mid-Atlantic states. The participating states span
three ISOs/RTOs, all of which have been able to integrate the price of carbon allowances into their dispatch
methods with ease. Affected sources simply incorporate the cost of carbon allowances into their auction
bids. This generally prompts grid operators to deploy
lower-cost sources, such as renewable sources, first.
See, e.g., Paul Hibbard et al., The Economic Impacts of
the Regional Greenhouse Gas Initiative on Nine Northeast and Mid-Atlantic States 6 (2018).
In these varied ways, air pollution regulators have
long crafted emission programs that leverage the integrated operations of the grid to lower compliance costs,
and that induce a degree of generation shifting in response to pollution control measures.
B. The Clean Power Plan Went Further by
Embedding Generation Shifting in its
Definition of the Best System of Emission Reduction.
While successful pollution control programs have
often induced generation shifting to reduce emissions
from regulated sources, the CPP took the next logical
20
step: It identified the emissions reductions that could
be achieved by regulated sources in each state based,
in part, on gains from generation shifting. It did this
by defining the Best System of Emission Reduction to
include reductions in coal generation and increasing
natural gas and renewable energy generation, relying
on the interconnected workings of the grids. See 80
Fed. Reg. 64,662, 64,717, J.A. 273, 529–30. In other
words, it built an assumption of generation-shifting
into its calculation of achievable—and required—
gains.
The result was a flexible, cost-effective regulation
with lower emission limits than might otherwise have
been set. The approach embraced by the CPP leverages
the grids’ interconnected, synchronous operation to allow for meaningful—and very cost-effective—cuts in
emissions from the sources it regulated.4 See ICF Int’l,
Inc., Assessing Effects on the Power Sector of Greenhouse Gas Emission Standards at 3, 5, 7 (Oct. 31, 2018)
(showing that a regulatory design relying on generation shifting, emissions trading, and reduced utilization would cause an additional 18–27% reduction in
CO2 emissions by 2030, at low per-ton abatement
cost). By recognizing that the grid operates as a single
4
This is not to say that the CPP mandated specific forms of
compliance. On the contrary, the rule was designed to promote
state flexibility in meeting its standards. Compliance options to
meet state emission-reduction targets were plentiful and were
well-matched to grid operations. Regulated sources could reduce
emissions through a mix of generation shifting, reduced utilization, emissions trading, heat rate improvements, and other
measures. See 80 Fed. Reg. at 64,666–67, J.A. 297–300.
21
integrated machine and by encouraging generation
shifting rather than costly source-specific reductions,
the CPP capitalized upon the unique features of the
grid to reduce emissions.
By contrast, the ACE Rule excluded emissionreduction measures that take advantage of grid operations and interconnectedness, such as generation
shifting. In defining the Best System of Emission Reduction in the Rule, EPA looked only to certain
measures that can be “applied at and to” individual
coal-fired units and settled on a definition that included only certain changes to the physical equipment
and processes of generators, specifically, heat-rate improvements at coal-fired power plants. Rule at 32,532,
32,536, J.A. 1787, 1802–03. The Rule excluded many of
the pollution-control measures that experts know to
be the most effective at reducing emissions from coal
unit operations, rejecting, for example, natural-gas
co-firing, decreased utilization of the highest-emitting
units, and generation shifting. Id. at 32,532, 32,543,
J.A. 1787, 1836–37. In this way, the Rule failed to enable the emissions reductions possible by leveraging
grid interconnectivity against CO2 pollution.
Moreover, the ACE Rule adopted only those
measures that reduce an individual facility’s rate of
emissions—that is, its emission of CO2 per unit of electricity produced—and failed to credit measures that
would reduce a facility’s total emissions without necessarily affecting rate, such as reduced utilization. Rule
at 32,555, J.A. 1890–92. Notably, a facility that improves its rate of emissions can still increase its total
22
emissions in aggregate, simply by operating more. Id.
at 32,542–43, J.A. 1833–36.
The consequence of the overly-narrow approach
adopted in the ACE Rule—which excluded even some
measures that can be accomplished on-site, like reduced utilization—was a rule that barely moved the
needle on CO2 pollution and that left health benefits
worth billions of dollars unrealized. See EPA, Regulatory Impact Analysis ES-6 (2019) (“Final RIA”) (projecting that the ACE Rule would result in less than a
percentage point in additional CO2 emissions reductions by 2030); see ICF Int’l, Inc. at 6 fig. 6 (showing
that a CPP-style regulatory approach would achieve
an order of magnitude greater emissions reductions
than the reductions projected under the ACE rule); see
83 Fed. Reg. 44,746, 44,790 tbl. 14 (Aug. 31, 2018) (conceding that repealing the CPP in favor of the ACE Rule
would significantly increase co-pollutants and inflict
several billion dollars in health damages).
C. To Reduce Power-Sector CO2 At Lower
Cost, Regulated Entities and States
Should Have The Flexibility to Employ
Off-Site Measures.
Because the power sector responds to pollution
controls with dispatch shifts regardless of rule design
whenever those controls alter the relative costs of
sources (as they almost always do), excluding generation shifting from power-sector regulation does not
mean that shifting will not occur; it simply won’t be
23
captured and used by regulators to craft a cheaper,
more effective rule. For these reasons, a “best” system
of emission reduction for this sector will often be one
that allows for measures such as generation shifting.
But even if this Court concludes that the Act does
not permit EPA to rely on generation shifting in defining the BSER here—an outcome we would strongly
disfavor—it should segregate that determination from
questions of allowable compliance with CO2 pollutioncontrol measures. To reduce CO2 from the power sector,
it would be nonsensical to limit power-plant operators
to using only site-constrained approaches, when grids
operate as integrated machines.5 Excluding generation
shifting from CO2 pollution control regimes would result in more expensive, less effective, and less flexible
regulation.
A hypothetical illustrates why. Consider a coalfired power plant (“Plant-A”) that is subject to a CO2
pollution control measure and that installs solar panels as part of its facility. By generating power with both
5
Such an approach would be reminiscent of a previously rejected approach to controlling sulfur dioxide from power plants.
In the debates over the 1990 Clean Air Act amendments, some
had suggested that only site-specific “scrubbers” be used to control SO2, in lieu of the Acid Rain Program’s more flexible approach
that allows for substituting lower-emitting units for higher-emitting units. History has since shown that the more flexible approach is a superior way to control pollution without endangering
reliability. See Paul L. Joskow et al., The Market for Sulfur Dioxide Emissions, 4 Am. Econ. Rev. 669, 683 (1998). The rejected sitespecific approach would have been significantly less effective and
more expensive. See id. at 669–70.
24
its solar panels and coal-fired boiler, Plant-A can lower
its CO2 emissions rate (emissions per megawatt-hour).
Plant-A can continue to produce the same amount of
power by shifting some of its generation from coal to
solar, thereby reducing the numerator of its emissions
rate. Or, Plant-A can increase its annual output by
adding solar to its coal generation, thereby increasing
the emissions-rate denominator. In either case, PlantA has installed a compliance mechanism that “can be
applied at and to a stationary source (i.e., as opposed
to off-site measures)” and “lead[s] to continuous emission reductions.” Rule at 32,534, J.A. 1796.
Now, imagine that Plant-A instead installs solar
panels on a field located next to its coal unit. The emissions rate result is the same. Likewise, the same emissions rate would result from solar panels instead
installed several miles away. Regardless of where the
solar panels are located, Plant-A would rely on the
same regional network of transmission lines to pool
power generated by the solar panels on the grid. From
the perspective of regulators, consumers, grid operators, and EPA, it is irrelevant whether the solar panels
that reduce Plant-A’s emission rate are located on
Plant-A’s rooftop or in the next state over. From the
perspective of Plant-A’s owner, it is far more desirable
to install solar panels in the most cost-effective location, whether or not that location is within the plant.
In promulgating the ACE Rule, EPA took account
of none of these possible approaches, the consequence
of which was to leave low-hanging emission reduction fruit unharvested. Furthermore, none of these
25
approaches was allowable as a compliance method under the Rule (save perhaps the on-site panels, about
which the Rule is ambiguous). Rule at 32,555, J.A.
1890–92. The effect of this was to reduce industry’s
flexibility in choosing low-cost emission reduction
strategies.
No coal-fired unit operates by itself. Each is a piece
of a power plant that, in turn, is part of the grid. It
would be unreasonable and unduly costly to exclude
generation shifting from CO2 pollution-control strategies when regulated units, like all generators, are
part of one big machine that delivers undifferentiated
power to a unitary grid.
III. CO2 Pollution Control Measures Are Incorporated Easily Into Power-Sector Operations.
Regulating CO2 pollution from the power sector alleviates harms to human health without harming grid
operations or reliability. Such regulation builds on existing trends and reinforces, rather than disrupts,
longstanding industry practices.
A. U.S. Power Sector Is Shifting Toward
Cleaner Energy Sources.
The U.S. power sector is shifting from coal-fired
plants to lower- and zero-carbon sources like natural
gas, wind, and solar. Successful regulation and market
forces have driven large reductions in power-sector
CO2 emissions. In 2017 and 2018, the U.S. power sector
26
emitted 30% less CO2 compared to 2005 levels. Final
RIA at 2–14.
In particular, the power sector has shifted generation away from coal and will continue to do so. By 2025,
the average age of coal-fired units is projected to be 49
years old, with 20% of units older than 60—well beyond their expected operating life of 40 years. See 80
Fed. Reg. at 64,694, 64,872, J.A. 352, 1248; see also Rule
at 32,548 n.215, J.A. 1859 n.215. As coal plants age,
they become more expensive compared to newer units.
Final RIA at 2–7. Natural gas prices, meanwhile, are
low because of abundant supply, while renewable energy costs have plunged because of improving technology and government policy incentives. Id. at 2–11. The
falling price of renewable energy has been particularly
dramatic: The cost of building and operating new solar
and wind projects is now cheaper than the cost of continuing to operate many coal-fired units. Id. These
market forces are pushing coal-fired plants offline, replacing them with cleaner energy resources. See id. at
2–7. Increasingly, as battery costs decline, utilities are
deploying batteries in combination with wind and solar generation, which can provide so-called firm power
to balance the grid and replace the need for certain
gas-fired plants.
Strikingly, the Clean Power Plan’s goal of reducing
carbon dioxide emissions to 32% below 2005 levels by
2030 had already been exceeded by the end of 2019—
notwithstanding that the CPP never went into effect.
See Environmental Integrity Project, Greenhouse Gases
from Power Plants 2005-2020: Rapid Decline Exceeded
27
Goals of EPA Clean Power Plan (2021). Much of this
decrease is attributable to the country’s shift to renewable energy and natural gas rather than coal as a
source of electricity. See id. at 3. That the sector has
moved as quickly as it has toward low-emission and
renewable energy sources, even without the CPP’s implementation, shows the modest influence of CO2 pollution control measures in comparison to other sectoral
forces at play.
Yet despite progress made to date, the U.S. power
sector remains a significant source of CO2 emissions
endangering public health and welfare. In 2018, it
emitted more than a quarter of total annual U.S. greenhouse gas emissions. See EPA, Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2019 ES-5 fig.
ES-1, 2–3 tbl. 2–1 (2021). And progress limiting U.S.
power-sector emissions may be slowing or halting: Annual emissions in 2018 increased by 1.2%. EPA, Inventory of U.S. Greenhouse Gas Emissions at ES-7, tbl. ES2. It is therefore sensible and consistent with industry
trends and operations for EPA to aim to reduce CO2
pollutants from regulated sources by building on the
last decade’s power-sector shifts. The easiest, cheapest,
and least disruptive method for reducing emissions
from coal-fired power plants is to continue the shift in
generation away from those plants toward cleaner
sources.
28
B. Propping Up Coal Is Unnecessary for
Grid Reliability.
In particular, generation shifting away from coal
would not harm grid reliability. Despite a large number of coal retirements in recent years, grid-wide indicators for reliability have been “adequate for all
interconnections and generally trending in a positive
direction.” N. Am. Elec. Reliability Corp., 2021 LongTerm Reliability Assessment 36 (2021). Even in those
limited areas where anticipated capacity reserves
begin to fall after 2024, see id. at 12, the changing energy mix requires new and flexible grid operation
strategies to promote reliability and meet operational
needs, not artificial lifelines for coal-fired resources.
See id. at 9–10, 22.
The Department of Energy has found that, despite
coal retirements, “markets have achieved reliable
wholesale electricity delivery.” U.S. Dep’t of Energy,
Staff Report to the Secretary on Electricity Markets and
Reliability 10 (2017) (“Staff Report”). Independent
market analysis has also found that “the diverse US
power supply portfolio has proven resilient to significant deviations from normal operating conditions.”
IHS Markit, Ensuring Resilient and Efficient Electricity Generation 4 (2017). Coal-fired power, furthermore,
is no cure-all for reliability concerns. For example, the
2014 Polar Vortex froze coal piles solid, leaving many
coal plants inoperable during a surge in energy demand. Staff Report at 98.
29
In fact, renewable sources can help improve reliability in some circumstances. Wind and solar can provide stability to the system by quickly detecting
frequency deviations and responding to system imbalances faster than conventional generators, decreasing
the need for inertia, the tendency for conventional generators and motors to continue spinning during power
failure. See, e.g., Nat’l Renewable Energy Lab., Inertia
and the Power Grid: A Guide Without the Spin v-vi
(2020). For instance, wind generation was key in maintaining service in the northeast and mid-Atlantic during the 2014 Polar Vortex, when demand spiked to one
of the highest winter peaks in regional history. Analysis Grp., Electric System Reliability and EPA’s Clean
Power Plan: The Case of PJM 3, 12 (2015).
It is true that the availability of renewable energy is more variable than other types of generation,
leading system operators to maintain generation reserves that provide back-up when renewable energy is
unavailable. The U.S. power sector has successfully
managed large amounts of renewable power in this
manner, and technical studies have concluded the sector is capable of integrating even more without significant reliability impacts. See, e.g., Nat’l Renewable
Energy Lab., Eastern Renewable Generation Integration Study xvii (2016) (concluding that the U.S. Eastern Interconnection can accommodate upwards of 30%
wind and solar photovoltaic generation); Elec. Reliability Council of Tex., 2018 State of the Grid 2, 4 (2018)
(reporting Texas’s electricity grid was “operating effectively and efficiently” with about 19% energy provided
30
by wind sources); GE Energy Consulting, PJM Renewable Integration Study: Executive Summary Report 6–
7 (2014) (finding that the RTO PJM could operate with
up to 30% of generation from wind and solar with no
significant harm to reliability). By contrast, we know
of no good evidence to support the idea that propping
up coal generation is necessary for grid reliability.
---------------------------------♦---------------------------------
CONCLUSION
The judgment of the U.S. Court of Appeals for the
District of Columbia Circuit should be affirmed.
Respectfully submitted,
Of Counsel:
WILLIAM BOYD
UCLA SCHOOL OF LAW
405 Hilgard Avenue
Los Angeles, CA 90095
(310) 206-5280
boyd@law.ucla.edu
CARA A. HOROWITZ
Counsel of Record
ANDRIA SO
FRANK G. WELLS
ENVIRONMENTAL LAW CLINIC
UCLA SCHOOL OF LAW
405 Hilgard Ave.
Los Angeles, CA 90095
(310) 206-4033
horowitz.elc@law.ucla.edu
Counsel for Amici Curiae
January 25, 2022
This is a copy of a public record, reproduced as it was published. It is not legal advice, and it may not be the version a court would rely on. Check the official source before you cite it.