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Coupled thermo-hydro-mechanical modeling on geothermal doublet subject to seasonal exploitation and storage

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  • Wang, Jiacheng
  • Tan, Xianfeng
  • Zhao, Zhihong
  • Chen, Jinfan
  • He, Jie
  • Shi, Qipeng

Abstract

Combining the conventional high-temperature aquifer thermal energy storage system with the common geothermal reservoir development system is a potential alternative to increase energy access, but effects of natural parameters like fracture aperture and reservoir permeability and development parameters like flow rate and injection temperature on the efficiency of energy exploitation and storage have seldomly been investigated. In this study, three assessment parameters and three evaluation criteria were defined to evaluate the sustainability and efficiency of deep geothermal reservoirs with seasonal energy exploitation and storage, and a robust approach of optimizing the development parameters was proposed by combining numerical reservoir model, experimental design and surrogate model, and multiple response optimization method. Based on a case study of the geothermal doublet in Tsinghua University, China, the robustness and reasonability of the developed optimization method were demonstrated. The results show that the optimal development parameters can not only maximize the total recoverable energy and effective recovery efficiency, but also satisfy the requirements of sustainably developing deep geothermal reservoirs. The recoverable heat energy can increase about 20% by adding artificial thermal storage into geothermal reservoir development. Therefore, it is strongly recommended to add energy storage into the future geothermal reservoir development system.

Suggested Citation

  • Wang, Jiacheng & Tan, Xianfeng & Zhao, Zhihong & Chen, Jinfan & He, Jie & Shi, Qipeng, 2024. "Coupled thermo-hydro-mechanical modeling on geothermal doublet subject to seasonal exploitation and storage," Energy, Elsevier, vol. 293(C).
  • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004225
    DOI: 10.1016/j.energy.2024.130650
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    References listed on IDEAS

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    1. Samin, Maleaha Y. & Faramarzi, Asaad & Jefferson, Ian & Harireche, Ouahid, 2019. "A hybrid optimisation approach to improve long-term performance of enhanced geothermal system (EGS) reservoirs," Renewable Energy, Elsevier, vol. 134(C), pages 379-389.
    2. Xiao, Xiao & Jiang, Zhenjiao & Owen, Daniel & Schrank, Christoph, 2016. "Numerical simulation of a high-temperature aquifer thermal energy storage system coupled with heating and cooling of a thermal plant in a cold region, China," Energy, Elsevier, vol. 112(C), pages 443-456.
    3. 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.
    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.
    5. Kim, Kwang-Jae & Lin, Dennis K.J., 2006. "Optimization of multiple responses considering both location and dispersion effects," European Journal of Operational Research, Elsevier, vol. 169(1), pages 133-145, February.
    6. Quinao, Jaime Jose D. & Zarrouk, Sadiq J., 2018. "Geothermal resource assessment using Experimental Design and Response Surface Methods: The Ngatamariki geothermal field, New Zealand," Renewable Energy, Elsevier, vol. 116(PA), pages 324-334.
    7. Liu, Guihong & Zhao, Zhihong & Xu, Haoran & Zhang, Jinping & Kong, Xiangjun & Yuan, Lijuan, 2022. "A robust assessment method of recoverable geothermal energy considering optimal development parameters," Renewable Energy, Elsevier, vol. 201(P1), pages 426-440.
    8. Feng, Guanhong & Xu, Tianfu & Gherardi, Fabrizio & Jiang, Zhenjiao & Bellani, Stefano, 2017. "Geothermal assessment of the Pisa plain, Italy: Coupled thermal and hydraulic modeling," Renewable Energy, Elsevier, vol. 111(C), pages 416-427.
    9. Fleuchaus, Paul & Schüppler, Simon & Bloemendal, Martin & Guglielmetti, Luca & Opel, Oliver & Blum, Philipp, 2020. "Risk analysis of High-Temperature Aquifer Thermal Energy Storage (HT-ATES)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    10. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu, 2020. "Study on the effect of well layout schemes and fracture parameters on the heat extraction performance of enhanced geothermal system in fractured reservoir," Energy, Elsevier, vol. 202(C).
    11. Fleuchaus, Paul & Godschalk, Bas & Stober, Ingrid & Blum, Philipp, 2018. "Worldwide application of aquifer thermal energy storage – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 861-876.
    12. Jeong, In-Jun & Kim, Kwang-Jae, 2009. "An interactive desirability function method to multiresponse optimization," European Journal of Operational Research, Elsevier, vol. 195(2), pages 412-426, June.
    13. Saeid, Sanaz & Al-Khoury, Rafid & Nick, Hamidreza M. & Hicks, Michael A., 2015. "A prototype design model for deep low-enthalpy hydrothermal systems," Renewable Energy, Elsevier, vol. 77(C), pages 408-422.
    14. 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).
    15. Wesselink, Maxim & Liu, Wen & Koornneef, Joris & van den Broek, Machteld, 2018. "Conceptual market potential framework of high temperature aquifer thermal energy storage - A case study in the Netherlands," Energy, Elsevier, vol. 147(C), pages 477-489.
    16. Francesco Parisio & Victor Vilarrasa & Wenqing Wang & Olaf Kolditz & Thomas Nagel, 2019. "The risks of long-term re-injection in supercritical geothermal systems," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
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