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Internalizing carbon costs in electricity markets: Using certificates in a load-based emissions trading scheme

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  • Gillenwater, Michael
  • Breidenich, Clare

Abstract

Several western states have considered developing a regulatory approach to reduce greenhouse gas (GHG) emissions from the electric power industry, referred to as a load-based (LB) cap-and-trade scheme. A LB approach differs from the traditional source-based (SB) cap-and-trade approach in that the emission reduction obligation is placed upon Load Serving Entities (LSEs), rather than electric generators. The LB approach can potentially reduce the problem of emissions leakage, relative to a SB system. For any of these proposed LB schemes to be effective, they must be compatible with modern, and increasingly competitive, wholesale electricity markets. LSE's are unlikely to know the emissions associated with their power purchases. Therefore, a key challenge for a LB scheme is how to assign emissions to each LSE. This paper discusses the problems with one model for assigning emissions under a LB scheme and proposes an alternative, using unbundled Generation Emission Attribute Certificates. By providing a mechanism to internalize an emissions price signal at the generator dispatch level, the tradable certificate model addresses both these problems and provides incentives identical to a SB scheme.

Suggested Citation

  • Gillenwater, Michael & Breidenich, Clare, 2009. "Internalizing carbon costs in electricity markets: Using certificates in a load-based emissions trading scheme," Energy Policy, Elsevier, vol. 37(1), pages 290-299, January.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:1:p:290-299
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    References listed on IDEAS

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    Cited by:

    1. Hobbs, Benjamin F. & Bushnell, James & Wolak, Frank A., 2010. "Upstream vs. downstream CO2 trading: A comparison for the electricity context," Energy Policy, Elsevier, vol. 38(7), pages 3632-3643, July.
    2. Ying, Zhou & Xin-gang, Zhao, 2021. "The impact of Renewable Portfolio Standards on carbon emission trading under the background of China’s electricity marketization reform," Energy, Elsevier, vol. 226(C).
    3. Coffman, Makena & Griffin, James P. & Bernstein, Paul, 2012. "An assessment of greenhouse gas emissions-weighted clean energy standards," Energy Policy, Elsevier, vol. 45(C), pages 122-132.
    4. Yihsu Chen & Andrew L. Liu & Benjamin F. Hobbs, 2011. "Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32," Operations Research, INFORMS, vol. 59(3), pages 696-712, June.
    5. Ramlall, Indranarain, 2017. "Internalizing CO2 emissions via central banks’ financials: Evidence from the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 549-559.
    6. Wenhui Zhao & Xiongjiantao Bao & Guanghui Yuan & Xiaomei Wang & Hongbo Bao, 2019. "The Equilibrium Model for the Coexistence of Renewable Portfolio Standards and Emissions Trading: The Supply Chain Analysis," Energies, MDPI, vol. 12(3), pages 1-29, January.

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