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Could congressionally mandated incentives lead to deployment of large-scale CO2 capture, facilities for enhanced oil recovery CO2 markets and geologic CO2 storage?

Author

Listed:
  • Edmonds, James
  • Nichols, Christopher
  • Adamantiades, Misha
  • Bistline, John
  • Huster, Jonathan
  • Iyer, Gokul
  • Johnson, Nils
  • Patel, Pralit
  • Showalter, Sharon
  • Victor, Nadja
  • Waldhoff, Stephanie
  • Wise, Marshall
  • Wood, Frances

Abstract

In passing the Bipartisan Budget Act of 2018, Congress reformed and strengthened a section of the tax code, 45Q, which provides tax credits of up to $35/ton CO2 for the capture and utilization of CO2 in qualifying applications such as enhanced oil recovery (EOR) and up to $50/ton CO2 for CO2 that is captured and permanently stored in a geologic repository. Earlier versions of the tax credit with lower credit values generated limited interest. This change to the tax code could potentially alter U.S. energy systems. This paper examines the effect of the increased 45Q credits on CO2 capture, utilization and storage (CCUS) deployment in the United States and on petroleum and power production. A range of potential outcomes is explored using five modeling tools. The paper goes on to explore the potential impact of possible modifications of the current tax credit including extension of its availability in time, the period over which 45Q tax credits can be utilized for any given asset and increases in the value of the credit as well as interactions with technology availability and carbon taxation. The paper concludes that 45Q tax credits could stimulate additional CCUS beyond that which is already underway.

Suggested Citation

  • Edmonds, James & Nichols, Christopher & Adamantiades, Misha & Bistline, John & Huster, Jonathan & Iyer, Gokul & Johnson, Nils & Patel, Pralit & Showalter, Sharon & Victor, Nadja & Waldhoff, Stephanie , 2020. "Could congressionally mandated incentives lead to deployment of large-scale CO2 capture, facilities for enhanced oil recovery CO2 markets and geologic CO2 storage?," Energy Policy, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:enepol:v:146:y:2020:i:c:s0301421520304973
    DOI: 10.1016/j.enpol.2020.111775
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    References listed on IDEAS

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    1. Bistline, John & Santen, Nidhi & Young, David, 2019. "The economic geography of variable renewable energy and impacts of trade formulations for renewable mandates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 79-96.
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    3. Bistline, John E. & Hodson, Elke & Rossmann, Charles G. & Creason, Jared & Murray, Brian & Barron, Alexander R., 2018. "Electric sector policy, technological change, and U.S. emissions reductions goals: Results from the EMF 32 model intercomparison project," Energy Economics, Elsevier, vol. 73(C), pages 307-325.
    4. Geoffrey J. Blanford, James H. Merrick, John E.T. Bistline, and David T. Young, 2018. "Simulating Annual Variation in Load, Wind, and Solar by Representative Hour Selection," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    5. Geoffrey J. Blanford, James H. Merrick, John E.T. Bistline, and David T. Young, 2018. "Simulating Annual Variation in Load, Wind, and Solar by Representative Hour Selection," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Muratori, Matteo & Ledna, Catherine & McJeon, Haewon & Kyle, Page & Patel, Pralit & Kim, Son H. & Wise, Marshall & Kheshgi, Haroon S. & Clarke, Leon E. & Edmonds, Jae, 2017. "Cost of power or power of cost: A U.S. modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 861-874.
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    Cited by:

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    2. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).

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