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A framework for allocating greenhouse gas emissions from electricity generation to plug-in electric vehicle charging

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  • Yang, Christopher

Abstract

This paper describes a number of different allocation methods for assigning greenhouse gas emissions from electricity generation to charging plug-in electric vehicles. These methods for calculating the carbon intensity of electricity are discussed in terms of merits and drawbacks and are placed into a framework to aid in understanding the relation with other allocation methods. Three independent decisions are used to define these methods (average vs. marginal, aggregate vs. temporally-explicit, and retrospective vs. prospective). This framework is important because the use of different methods can lead to very different carbon intensities and studies or analyses that do not properly identify the methods used can confuse policymakers and stakeholders, especially when compared to other studies using different methods.

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  • Yang, Christopher, 2013. "A framework for allocating greenhouse gas emissions from electricity generation to plug-in electric vehicle charging," Energy Policy, Elsevier, vol. 60(C), pages 722-732.
  • Handle: RePEc:eee:enepol:v:60:y:2013:i:c:p:722-732
    DOI: 10.1016/j.enpol.2013.05.013
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    Cited by:

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    2. Nils Seckinger & Peter Radgen, 2021. "Dynamic Prospective Average and Marginal GHG Emission Factors—Scenario-Based Method for the German Power System until 2050," Energies, MDPI, vol. 14(9), pages 1-22, April.
    3. Levihn, Fabian, 2014. "CO2 emissions accounting: Whether, how, and when different allocation methods should be used," Energy, Elsevier, vol. 68(C), pages 811-818.
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    6. Eberle, Annika L. & Heath, Garvin A., 2020. "Estimating carbon dioxide emissions from electricity generation in the United States: How sectoral allocation may shift as the grid modernizes," Energy Policy, Elsevier, vol. 140(C).
    7. Rita Garcia & Fausto Freire, 2016. "Marginal Life-Cycle Greenhouse Gas Emissions of Electricity Generation in Portugal and Implications for Electric Vehicles," Resources, MDPI, vol. 5(4), pages 1-15, November.
    8. Braeuer, Fritz & Finck, Rafael & McKenna, Russell, 2020. "Comparing empirical and model-based approaches for calculating dynamic grid emission factors: An application to CO2-minimizing storage dispatch in Germany," Working Paper Series in Production and Energy 44, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).

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