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A Clean Energy Standard Analysis with the US-REGEN Model

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  • Geoffrey J. Blanford
  • James H. Merrick
  • David Young

Abstract

A clean energy standard (CES) is a potential policy alternative to reduce carbon emissions in the electric sector. We analyze this policy under a range of technological assumptions, expanding on the Energy Modeling Forum (EMF) 24 study scenarios, using a new modeling tool, US-REGEN. We describe three innovative features of the model: treatment of spatial and temporal variability of renewable resources, cost-of-service electric sector pricing, and explicit representation of energy end-use specific capital. We find that varying technology assumptions results in vastly different futures, with large contrasts in the distribution and scale of inter-regional financial flows, and in the generation mix. We explore regional differences in how the costs of CES credits are passed through with cost-of-service vs. competitive pricing. Finally, we compare the CES to an economy-wide emissions cap. We find that although the two policies result in a similar generation mix, price and electricity end-use results differ.

Suggested Citation

  • Geoffrey J. Blanford & James H. Merrick & David Young, 2014. "A Clean Energy Standard Analysis with the US-REGEN Model," The Energy Journal, , vol. 35(1_suppl), pages 137-164, June.
    • Handle: RePEc:sae:enejou:v:35:y:2014:i:1_suppl:p:137-164
    DOI: 10.5547/01956574.35.SI1.8
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    References listed on IDEAS

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    1. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
    2. Bryan K. Mignone & Thomas Alfstad & Aaron Bergman & Kenneth Dubin & Richard Duke & Paul Friley & Andrew Martinez & Matthew Mowers & Karen Palmer & Anthony Paul & Sharon Showalter & Daniel Steinberg & , 2012. "Cost-effectiveness and Economic Incidence of a Clean Energy Standard," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 3).
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    Cited by:

    1. Merrick, James H. & Bistline, John E.T. & Blanford, Geoffrey J., 2024. "On representation of energy storage in electricity planning models," Energy Economics, Elsevier, vol. 136(C).

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