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Geothermal battery energy storage

Author

Listed:
  • Green, Sidney
  • McLennan, John
  • Panja, Palash
  • Kitz, Kevin
  • Allis, Richard
  • Moore, Joseph

Abstract

The Geothermal Battery Energy Storage concept (GB) has been proposed as a large-scale renewable energy storage method. This is particularly important as solar and wind power are being introduced into electric grids, and economical utility-scale storage has not yet become available to handle the variable nature of solar and wind.

Suggested Citation

  • Green, Sidney & McLennan, John & Panja, Palash & Kitz, Kevin & Allis, Richard & Moore, Joseph, 2021. "Geothermal battery energy storage," Renewable Energy, Elsevier, vol. 164(C), pages 777-790.
    • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:777-790
    DOI: 10.1016/j.renene.2020.09.083
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    References listed on IDEAS

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    1. Kincaid, Nicholas & Mungas, Greg & Kramer, Nicholas & Wagner, Michael & Zhu, Guangdong, 2018. "An optical performance comparison of three concentrating solar power collector designs in linear Fresnel, parabolic trough, and central receiver," Applied Energy, Elsevier, vol. 231(C), pages 1109-1121.
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    1. Jello, Josiane & Khan, Manzoor & Malkewicz, Nick & Whittaker, Steven & Baser, Tugce, 2022. "Advanced geothermal energy storage systems by repurposing existing oil and gas wells: A full-scale experimental and numerical investigation," Renewable Energy, Elsevier, vol. 199(C), pages 852-865.
    2. Ricks, Wilson & Norbeck, Jack & Jenkins, Jesse, 2022. "The value of in-reservoir energy storage for flexible dispatch of geothermal power," Applied Energy, Elsevier, vol. 313(C).
    3. Shi, Yu & Cui, Qiliang & Song, Xianzhi & Liu, Shaomin & Yang, Zijiang & Peng, Junlan & Wang, Lizhi & Guo, Yanchun, 2023. "Thermal performance of the aquifer thermal energy storage system considering vertical heat losses through aquitards," Renewable Energy, Elsevier, vol. 207(C), pages 447-460.
    4. Jin, Wencheng & Atkinson, Trevor A. & Doughty, Christine & Neupane, Ghanashyam & Spycher, Nicolas & McLing, Travis L. & Dobson, Patrick F. & Smith, Robert & Podgorney, Robert, 2022. "Machine-learning-assisted high-temperature reservoir thermal energy storage optimization," Renewable Energy, Elsevier, vol. 197(C), pages 384-397.

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