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A hybrid optimisation approach to improve long-term performance of enhanced geothermal system (EGS) reservoirs

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  • Samin, Maleaha Y.
  • Faramarzi, Asaad
  • Jefferson, Ian
  • Harireche, Ouahid

Abstract

Improving the long-term performance of deep geothermal reservoirs, as an energy source, can lead to a significant increase in efficiency of heat extractions from these assets. This will assist designers, energy firms, managers, and government decision makers to plan and maintain the use of limited available energy resources and hence enhance key sustainable development goals. Enhanced geothermal reservoirs possess a multi-phase behaviour with complex inter-relationship between several parameters that makes the analysis and design of these systems challenging. Often, this challenge is increased when taking into consideration the optimum use of the available resources and induced costs during both creation and exploitation phases. This research presents a novel design approach developed to achieve efficiency and improved long-term performance in doublet enhanced geothermal systems (EGS). The proposed approach is based on an optimisation procedure using a numerical hybrid methodology integrating a multi-objective genetic algorithm with finite element analysis of fully coupled thermal hydraulic processes of reservoirs. The results of the optimisation process are discussed in comparison with data available from a benchmark case study. The results demonstrate a significant improvement in the long-term performance of EGS reservoir, both in terms of thermal power and costs when optimised using the proposed methodology.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:379-389
    DOI: 10.1016/j.renene.2018.11.045
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    References listed on IDEAS

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    Cited by:

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    2. Fan, Huifang & Zhang, Luyi & Wang, Ruifei & Song, Hongqing & Xie, Hui & Du, Li & Sun, Pengguang, 2020. "Investigation on geothermal water reservoir development and utilization with variable temperature regulation: A case study of China," Applied Energy, Elsevier, vol. 275(C).
    3. Rashid, Muhammad Usman & Abid, Irfan & Latif, Abid, 2022. "Optimization of hydropower and related benefits through Cascade Reservoirs for sustainable economic growth," Renewable Energy, Elsevier, vol. 185(C), pages 241-254.
    4. Zhang, Yuliang & Zhao, Gao-Feng, 2023. "A multiphysics method for long-term deformation analysis of reservoir rock considering thermal damage in deep geothermal engineering," Renewable Energy, Elsevier, vol. 204(C), pages 432-448.
    5. Song, Guofeng & Song, Xianzhi & Li, Gensheng & Shi, Yu & Wang, Gaosheng & Ji, Jiayan & Xu, Fuqiang & Song, Zihao, 2021. "An integrated multi-objective optimization method to improve the performance of multilateral-well geothermal system," Renewable Energy, Elsevier, vol. 172(C), pages 1233-1249.
    6. Lin, David T.W. & Hsieh, Jui Ching & Shih, Bo Yen, 2019. "The optimization of geothermal extraction based on supercritical CO2 porous heat transfer model," Renewable Energy, Elsevier, vol. 143(C), pages 1162-1171.
    7. Chen, Yun & Ma, Guowei & Wang, Huidong & Li, Tuo & Wang, Yang & Sun, Zizheng, 2020. "Optimizing heat mining strategies in a fractured geothermal reservoir considering fracture deformation effects," Renewable Energy, Elsevier, vol. 148(C), pages 326-337.

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