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Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling

Author

Listed:
  • Todd Levin

    (Argonne National Laboratory)

  • John Bistline

    (Electric Power Research Institute)

  • Ramteen Sioshansi

    (Department of Engineering and Public Policy, Carnegie Mellon Electricity Industry Center and Department of Electrical and Computer Engineering, Carnegie Mellon University
    Department of Integrated Systems Engineering, The Ohio State University)

  • Wesley J. Cole

    (Grid Planning and Analysis Center, National Renewable Energy Laboratory)

  • Jonghwan Kwon

    (Argonne National Laboratory)

  • Scott P. Burger

    (Form Energy)

  • George W. Crabtree

    (Joint Center for Energy Storage Research, Argonne National Laboratory)

  • Jesse D. Jenkins

    (Princeton University)

  • Rebecca O’Neil

    (Energy and Environment Directorate, Pacific Northwest National Laboratory)

  • Magnus Korpås

    (Norwegian University of Science and Technology)

  • Sonja Wogrin

    (Graz University of Technology
    Comillas Pontifical University)

  • Benjamin F. Hobbs

    (Johns Hopkins University)

  • Robert Rosner

    (University of Chicago)

  • Venkat Srinivasan

    (Joint Center for Energy Storage Research, Argonne National Laboratory)

  • Audun Botterud

    (Argonne National Laboratory
    Laboratory for Information and Decision Systems, Massachusetts Institute of Technology)

Abstract

To meet ambitious global decarbonization goals, electricity system planning and operations will change fundamentally. With increasing reliance on variable renewable energy resources, energy storage is likely to play a critical accompanying role to help balance generation and consumption patterns. As grid planners, non-profit organizations, non-governmental organizations, policy makers, regulators and other key stakeholders commonly use capacity expansion modelling to inform energy policy and investment decisions, it is crucial that these processes capture the value of energy storage in energy-system decarbonization. Here we conduct an extensive review of literature on the representation of energy storage in capacity expansion modelling. We identify challenges related to enhancing modelling capabilities to inform decarbonization policies and electricity system investments, and to improve societal outcomes throughout the clean energy transition. We further identify corresponding research activities that can help overcome these challenges and conclude by highlighting tangible real-world outcomes that will result from pursuing these research activities.

Suggested Citation

  • Todd Levin & John Bistline & Ramteen Sioshansi & Wesley J. Cole & Jonghwan Kwon & Scott P. Burger & George W. Crabtree & Jesse D. Jenkins & Rebecca O’Neil & Magnus Korpås & Sonja Wogrin & Benjamin F. , 2023. "Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling," Nature Energy, Nature, vol. 8(11), pages 1199-1208, November.
    • Handle: RePEc:nat:natene:v:8:y:2023:i:11:d:10.1038_s41560-023-01340-6
    DOI: 10.1038/s41560-023-01340-6
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    Citations

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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).
    2. M. Calcaterra & L. Aleluia Reis & P. Fragkos & T. Briera & H. S. Boer & F. Egli & J. Emmerling & G. Iyer & S. Mittal & F. H. J. Polzin & M. W. J. L. Sanders & T. S. Schmidt & A. Serebriakova & B. Stef, 2024. "Reducing the cost of capital to finance the energy transition in developing countries," Nature Energy, Nature, vol. 9(10), pages 1241-1251, October.
    3. Davis, Dominic & Brear, Michael J., 2024. "Impact of short-term wind forecast accuracy on the performance of decarbonising wholesale electricity markets," Energy Economics, Elsevier, vol. 130(C).
    4. Göke, Leonard & Schmidt, Felix & Kendziorski, Mario, 2024. "Stabilized Benders decomposition for energy planning under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 316(1), pages 183-199.
    5. Haugen, Mari & Blaisdell-Pijuan, Paris L. & Botterud, Audun & Levin, Todd & Zhou, Zhi & Belsnes, Michael & Korpås, Magnus & Somani, Abhishek, 2024. "Power market models for the clean energy transition: State of the art and future research needs," Applied Energy, Elsevier, vol. 357(C).
    6. Tang, Junrong & Li, Qibin & Werle, Sebastian & Wang, Shukun & Yu, Haoshui, 2024. "Development and comprehensive thermo-economic analysis of a novel compressed CO2 energy storage system integrated with high-temperature thermal energy storage," Energy, Elsevier, vol. 303(C).

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