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Representing Carbon Dioxide Transport and Storage Network Investments within Power System Planning Models

Author

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  • Maxwell Brown

    (Department of Economics and Business, Colorado School of Mines, Engineering Hall, 816 15th St, Golden, CO 80401, USA
    National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Matthew Irish

    (Our Next Energy, Novi, MI 48377, USA)

  • Daniel Steinberg

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Tamar Moss

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Daniel P. Cherney

    (ExxonMobil Technology and Engineering Company, Spring, TX 77389, USA)

  • Travis Shultz

    (National Energy Technology Laboratory, Morgantown, WV 26505, USA)

  • David Morgan

    (National Energy Technology Laboratory, Pittsburgh, PA 15236, USA)

  • Alexander Zoelle

    (National Energy Technology Laboratory, Pittsburgh, PA 15236, USA)

  • Thomas Schmitt

    (National Energy Technology Laboratory, Morgantown, WV 26505, USA)

Abstract

Carbon dioxide (CO 2 ) capture and storage (CCS) is frequently identified as a potential component to achieving a decarbonized power system at least cost; however, power system models frequently lack detailed representation of CO 2 transportation, injection, and storage (CTS) infrastructure. In this paper, we present a novel approach to explicitly represent CO 2 storage potential and CTS infrastructure costs and constraints within a continental-scale power system capacity expansion model. In addition, we evaluate the sensitivity of the results to assumptions about the future costs and performance of CTS components and carbon capture technologies. We find that the quantity of CO 2 captured within the power sector is relatively insensitive to the range of CTS costs explored, suggesting that the cost of CO 2 capture retrofits is a more important driver of CCS implementation than the costs of transportation and storage. Finally, we demonstrate that storage and injection costs account for the predominant share of total costs associated with CTS investment and operation, suggesting that pipeline infrastructure costs have limited influence on the competitiveness of CCS.

Suggested Citation

  • Maxwell Brown & Matthew Irish & Daniel Steinberg & Tamar Moss & Daniel P. Cherney & Travis Shultz & David Morgan & Alexander Zoelle & Thomas Schmitt, 2024. "Representing Carbon Dioxide Transport and Storage Network Investments within Power System Planning Models," Energies, MDPI, vol. 17(15), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3780-:d:1447076
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    References listed on IDEAS

    as
    1. Lara, Cristiana L. & Mallapragada, Dharik S. & Papageorgiou, Dimitri J. & Venkatesh, Aranya & Grossmann, Ignacio E., 2018. "Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1037-1054.
    2. Paltsev, Sergey & Morris, Jennifer & Kheshgi, Haroon & Herzog, Howard, 2021. "Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation," Applied Energy, Elsevier, vol. 300(C).
    3. John Bistline & Geoffrey Blanford & Maxwell Brown & Dallas Burtraw & Maya Domeshek & Jamil Farbes & Allen Fawcett & Anne Hamilton & Jesse Jenkins & Ryan Jones & Ben King & Hannah Kolus & John Larsen &, 2023. "Emissions and Energy Impacts of the Inflation Reduction Act," Papers 2307.01443, arXiv.org.
    4. Selosse, Sandrine & Ricci, Olivia, 2017. "Carbon capture and storage: Lessons from a storage potential and localization analysis," Applied Energy, Elsevier, vol. 188(C), pages 32-44.
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