IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v385y2025ics0306261925002107.html
   My bibliography  Save this article

Energy storage in combined gas-electric energy transitions models: The case of California

Author

Listed:
  • Saad, Dimitri M.
  • Sodwatana, Mo
  • Sherwin, Evan D.
  • Brandt, Adam R.

Abstract

California’s vision for a net-zero future by 2045 relies heavily on variable renewable energy systems. Thus, energy storage - particularly long-duration storage - could play a fundamental role in reliably supplying low-carbon electricity. We study energy storage using the BRIDGES model, a combined gas-electric capacity expansion model for California across multiple investment periods (2025-2045), modeled with progressively decreasing carbon emission targets to a zero emissions by 2045. This least-cost optimization model includes renewable gas production via power-to-gas, long-term storage of energy in gaseous form, electric energy storage such as through batteries and hydrogen storage, and renewable energy generation, all with capacity tracking and investment. Multiple scenarios are evaluated to examine the sensitivity of the optimal storage portfolio to system-level and sector-level parameters. The scenario results show that all electric energy storage systems - which vary in storage duration - are deployed and required in a net-zero California in 2045, amounting to around 75 GW of storage capacity. Lithium ion systems make up approximately 80% of this power capacity and supply most short-run storage needs. Hydrogen storage - in the form of a power-to-gas-to-power system - emerges as a replacement to conventional natural gas storage, comprising most of the total energy storage capacity (∼ 4 TWh). This capacity is less than 5% of the current natural gas storage capacity (94 TWh), indicating sufficient room for repurposing part of the gas infrastructure. A demand-side sensitivity analysis proves that higher electricity demand correlates with more builds of Li-ion batteries, while higher industrial heat demand leads to more builds of long-duration storage systems in a net-zero economy. Moreover, power-to-gas systems satisfy part of the industrial heat demand by locally supplying renewable gas, which overtakes the traditional centralized gas storage and transfers through pipelines, casting significant doubts on the future of the large-scale gas infrastructure.

Suggested Citation

  • Saad, Dimitri M. & Sodwatana, Mo & Sherwin, Evan D. & Brandt, Adam R., 2025. "Energy storage in combined gas-electric energy transitions models: The case of California," Applied Energy, Elsevier, vol. 385(C).
  • Handle: RePEc:eee:appene:v:385:y:2025:i:c:s0306261925002107
    DOI: 10.1016/j.apenergy.2025.125480
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925002107
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.125480?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Teichgraeber, Holger & Küpper, Lucas Elias & Brandt, Adam R., 2021. "Designing reliable future energy systems by iteratively including extreme periods in time-series aggregation," Applied Energy, Elsevier, vol. 304(C).
    2. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
    3. Samsatli, Sheila & Samsatli, Nouri J., 2018. "A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies," Applied Energy, Elsevier, vol. 220(C), pages 893-920.
    4. Davies, Lincoln L. & Uchitel, Kirsten & Ruple, John, 2013. "Understanding barriers to commercial-scale carbon capture and sequestration in the United States: An empirical assessment," Energy Policy, Elsevier, vol. 59(C), pages 745-761.
    5. Nestor A. Sepulveda & Jesse D. Jenkins & Aurora Edington & Dharik S. Mallapragada & Richard K. Lester, 2021. "The design space for long-duration energy storage in decarbonized power systems," Nature Energy, Nature, vol. 6(5), pages 506-516, May.
    6. Heinen, Steve & Burke, Daniel & O'Malley, Mark, 2016. "Electricity, gas, heat integration via residential hybrid heating technologies – An investment model assessment," Energy, Elsevier, vol. 109(C), pages 906-919.
    7. 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.
    8. Sánchez-Pérez, P.A. & Staadecker, Martin & Szinai, Julia & Kurtz, Sarah & Hidalgo-Gonzalez, Patricia, 2022. "Effect of modeled time horizon on quantifying the need for long-duration storage," Applied Energy, Elsevier, vol. 317(C).
    9. Helistö, Niina & Kiviluoma, Juha & Reittu, Hannu, 2020. "Selection of representative slices for generation expansion planning using regular decomposition," Energy, Elsevier, vol. 211(C).
    10. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    11. Brynolf, Selma & Taljegard, Maria & Grahn, Maria & Hansson, Julia, 2018. "Electrofuels for the transport sector: A review of production costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1887-1905.
    12. García-Gusano, Diego & Espegren, Kari & Lind, Arne & Kirkengen, Martin, 2016. "The role of the discount rates in energy systems optimisation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 56-72.
    13. Stack, Daniel C. & Curtis, Daniel & Forsberg, Charles, 2019. "Performance of firebrick resistance-heated energy storage for industrial heat applications and round-trip electricity storage," Applied Energy, Elsevier, vol. 242(C), pages 782-796.
    14. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    15. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    16. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    17. Maximilian Parzen & Fabian Neumann & Addrian H. Van Der Weijde & Daniel Friedrich & Aristides Kiprakis, 2021. "Beyond cost reduction: Improving the value of energy storage in electricity systems," Papers 2101.10092, arXiv.org, revised Jul 2022.
    18. Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Decarbonizing power systems: A critical review of the role of energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
    20. Parzen, Maximilian & Abdel-Khalek, Hazem & Fedotova, Ekaterina & Mahmood, Matin & Frysztacki, Martha Maria & Hampp, Johannes & Franken, Lukas & Schumm, Leon & Neumann, Fabian & Poli, Davide & Kiprakis, 2023. "PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa," Applied Energy, Elsevier, vol. 341(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sodwatana, Mo & Saad, Dimitri M. & Ahumada-Paras, Mareldi & Brandt, Adam R., 2025. "Appliance decarbonization and its impacts on California’s energy transition," Applied Energy, Elsevier, vol. 390(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    2. Kuepper, Lucas Elias & Teichgraeber, Holger & Baumgärtner, Nils & Bardow, André & Brandt, Adam R., 2022. "Wind data introduce error in time-series reduction for capacity expansion modelling," Energy, Elsevier, vol. 256(C).
    3. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2023. "Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage," Applied Energy, Elsevier, vol. 334(C).
    4. Martin Kittel & Alexander Roth & Wolf-Peter Schill, 2024. "Coping with the Dunkelflaute: Power system implications of variable renewable energy droughts in Europe," Papers 2411.17683, arXiv.org, revised Jan 2025.
    5. Coles, Daniel & Wray, Bevan & Stevens, Rob & Crawford, Scott & Pennock, Shona & Miles, Jon, 2023. "Impacts of tidal stream power on energy system security: An Isle of Wight case study," Applied Energy, Elsevier, vol. 334(C).
    6. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Wang, Jing & Kang, Lixia & Liu, Yongzhong, 2022. "A multi-objective approach to determine time series aggregation strategies for optimal design of multi-energy systems," Energy, Elsevier, vol. 258(C).
    8. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
    9. Thimet, P.J. & Mavromatidis, G., 2023. "What-where-when: Investigating the role of storage for the German electricity system transition," Applied Energy, Elsevier, vol. 351(C).
    10. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    11. Brodnicke, Linda & Gabrielli, Paolo & Sansavini, Giovanni, 2023. "Impact of policies on residential multi-energy systems for consumers and prosumers," Applied Energy, Elsevier, vol. 344(C).
    12. 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).
    13. Hoelzen, J. & Silberhorn, D. & Schenke, F. & Stabenow, E. & Zill, T. & Bensmann, A. & Hanke-Rauschenbach, R., 2025. "H2-powered aviation – Optimized aircraft and green LH2 supply in air transport networks," Applied Energy, Elsevier, vol. 380(C).
    14. Reveron Baecker, Beneharo & Candas, Soner, 2022. "Co-optimizing transmission and active distribution grids to assess demand-side flexibilities of a carbon-neutral German energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    15. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
    16. Dan Tong & David J. Farnham & Lei Duan & Qiang Zhang & Nathan S. Lewis & Ken Caldeira & Steven J. Davis, 2021. "Geophysical constraints on the reliability of solar and wind power worldwide," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    17. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    18. Svitnič, Tibor & Sundmacher, Kai, 2022. "Renewable methanol production: Optimization-based design, scheduling and waste-heat utilization with the FluxMax approach," Applied Energy, Elsevier, vol. 326(C).
    19. Egerer, Jonas & Farhang-Damghani, Nima & Grimm, Veronika & Runge, Philipp, 2024. "The industry transformation from fossil fuels to hydrogen will reorganize value chains: Big picture and case studies for Germany," Applied Energy, Elsevier, vol. 358(C).
    20. Tejada-Arango, Diego A. & Wogrin, Sonja & Siddiqui, Afzal S. & Centeno, Efraim, 2019. "Opportunity cost including short-term energy storage in hydrothermal dispatch models using a linked representative periods approach," Energy, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:385:y:2025:i:c:s0306261925002107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.