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Plausible Scenarios for GHG Regulation of Existing Power Plants under the Clean Air Act. Dallas Burtraw Presentation for Princeton Carbon Management Institute April 16, 2014.
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Plausible Scenarios for GHG Regulation of Existing Power Plants under the Clean Air Act Dallas Burtraw Presentation for Princeton Carbon Management InstituteApril 16, 2014 Acknowledgements: Art Fraas, Josh Linn, Brady McCartney, Karen Palmer, Anthony Paul, Nathan Richardson, Matt Woerman and researchers at EPA and DOE Funding: RFF general support along with Bechtel Foundation, EPA, DOE, Mistra’s CLIPORE and INDIGO programs
Roadmap • Consideration of multiple criteria • Four “bookend” policy designs • The coordination dilemma
Multiple Criteria in Statute • Criteria in 111(d): emissions rates, emissions, cost, environmental outcomes, remaining useful life of facilities • Policies that reduce emissions (tons CO2) have a different effect on emissions rates (tons/MWh) and other pollutants • Expanding flexibility could reduce cost or enable an increase in ambition along any one of these metrics, but it can lead to ambiguous results with respect to other metrics • Program design will balance of multiple criteria
Multiple criteria indicate several plausible paths • Emissions rate approach / intensity standard (tons/MWh) • This approach is not new; lead phaseout • Questions: Covered sources? Trading? Subcategories? • Emissions budget (tons) • This approach is not new; NOx budget program • Questions: Trading? Allocation? • Portfolio approach / resource planning – RE, EE, secular trends • This approach also is not new; myriad existing state programs • Question: Measuring stringency? • Consideration: Spectrum of legal and regulatory risk • Key observation: Each design implies an assignment of asset value created by a carbon/other constraint
Four Policies Assign Asset Values Differently • Tradable Emissions Rate Performance Standard (rate based): The net compliance obligation stems from the difference between the benchmark and actual emissions rates • Output subsidy to producers • Emissions Fee or C&T with Allocation to Local Distribution Companies (California type): • Consumption subsidy to consumers (GRE & Brattle Group analysis) • Emissions Fee or C&T with Allocation to LDCs & Energy Efficiency (RGGI type): Lifetime undiscounted cost $40/MWh (Arimura et al. 2012) • Consumption and investment subsidy to consumers • Emissions Fee or C&T with Revenue-Raising Auction (Tax): EPA could not introduce a revenue-raising policy; states might • Asset value to government
A Conjecture on Stringency • 367 million short ton reduction from baseline in 2018, escalating linearly to 400 in 2020 and 650 in 2035 • Results in CO2 emissions reductions well past 16 percentage points for US in 2020 relative to 2005 (situation is less encouraging for other GHGs) • A technical basis for determining stringency? • EPA’s technical findings (Sargent & Lundy 2009; Linn et al. 2014 JAERE) identify “cost-effective” measures at existing power plants • EPA might pivot on this finding to establish state milestones • Coincidentally, the marginal costs are less than the Inter-Agency Working Group (2013) estimates of social cost of carbon
Structure and Cost Effectiveness of Bookend Approaches400 million short ton reduction from baseline (19%) Amer. Econ. Rev. 2014 forthcoming
State-level coordination is microcosm of global issues • Modeling assumes all states do the same policy. They might not. • State borders are incongruous with energy markets / power pools. • Investments in energy efficiency may not facilitate state compliance. • Mixing approaches can create a federalist’s dilemma.
Compare one region TPS policy with four region mixed policy Four Regions (3 capped regions and one large TPS policy region)Emissions Reductions = 352 mtyin 2020 One Region (TPS policy)Emissions Reductions = 400 mty in 2020 • Output subsidy in TPS region attracts investment & generation driving up emissions • Greater electricity transmission from TPS to budget regions • Emissions in budget regions are capped; generation falls and emissions intensity up • This suggests cost-effective design may require coordination. Does this influence the best system of emissions reduction?
Attributes of Coordination • Lessens the “federalist dilemma” • Better coordination in power markets • Resiliency to electricity supply or demand disruptions • Broader coordination in achieving “other environmental outcomes” including air quality goals • Stronger coalition to influence federal policy • Cost shifts? • A general result: Gains are greater than losses in aggregate • Relationships lead to cooperation and likely shared savings
General Equilibrium Considerations • General equilibrium considerations • Change in gas price (8-27% in 2020) affects rest of economy. • The hidden tax-interaction effect hinges on changes in product. prices. The small price change mitigates this (Goulder, Hafstead and Williams 2014) and mitigates competitiveness effects. • Nonetheless, small price changes fail to incent energy efficiency. Other regulatory design needed (NRDC proposal).
Three exceptional characteristics of 111(d) Thank you! Multiple evaluation criteria are relevant:emissions rates, emissions, cost, cost effectiveness, environment benefits, remaining useful life of facilities, innovation State-based process expected Best System of Emissions Reduction implies flexibility
Simulation Modeling • Each of these approaches is modeled using a detailed electricity sector planning model (Haiku; see Paul et al. 2009a) that solves through 2035 for 22 linked regions, three seasons, four times of day, three customer classes • Econometrically estimated opportunities to improve heat rates at coal units (Linn et al. 2013) • Roughly 2/3 of consumption represented in cost of service regions; rest in competitive regions • Demand and other parameters calibrated to EIA AEO 2012, with gas prices updated to 2013 • Partial adjustment demand system captures dynamic long-run adjustments to short-run price changes (Houthakker et al. 1974; Paul et al. 2009b) • Detailed representation of other environmental constraints (CAIR, MATS) and state renewable standards, cap and trade
National Uniform Tradable Emissions Rate Performance Standard (TPS) Emissions Reductions = 400 mty in 2020 Colors indicate credit flows by fuel and state Total value approaches $10 b Note some states both win and lose
One Region: Matching Emissions Rate from TPS ResultThree Regions: Emissions Budgets from TPS Result Emissions Reductions = 352 mtyin 2020 • Output subsidy in TPS region attracts investment & generation driving up emissions • Greater electricity transmission from TPS to budget regions • Emissions in budget regions are capped; generation falls and emissions intensity up • Cost-effective design may require coordination. Does this influence the best system of emissions reduction?