Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling

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. Hobbs, Robert Rosner, Venkat Srinivasan and Audun Botterud ()
Additional contact information
Todd Levin: Argonne National Laboratory
Ramteen Sioshansi: Department of Engineering and Public Policy, Carnegie Mellon Electricity Industry Center and Department of Electrical and Computer Engineering, Carnegie Mellon 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
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

Nature Energy, 2023, vol. 8, issue 11, 1199-1208

Abstract: 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.

Date: 2023
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Citations: View citations in EconPapers (10)

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DOI: 10.1038/s41560-023-01340-6

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