IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v134y2019icp379-389.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118313648
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.11.045?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. Domenico Giardini, 2009. "Geothermal quake risks must be faced," Nature, Nature, vol. 462(7275), pages 848-849, December.
    2. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Sensitivity analysis of deep geothermal reservoir: Effect of reservoir parameters on production temperature," Energy, Elsevier, vol. 129(C), pages 101-113.
    3. Olasolo, P. & Juárez, M.C. & Morales, M.P. & D´Amico, Sebastiano & Liarte, I.A., 2016. "Enhanced geothermal systems (EGS): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 133-144.
    4. Biagi, James & Agarwal, Ramesh & Zhang, Zheming, 2015. "Simulation and optimization of enhanced geothermal systems using CO2 as a working fluid," Energy, Elsevier, vol. 86(C), pages 627-637.
    5. Chen, Mingjie & Tompson, Andrew F.B. & Mellors, Robert J. & Abdalla, Osman, 2015. "An efficient optimization of well placement and control for a geothermal prospect under geological uncertainty," Applied Energy, Elsevier, vol. 137(C), pages 352-363.
    6. Chen, Jiliang & Jiang, Fangming, 2015. "Designing multi-well layout for enhanced geothermal system to better exploit hot dry rock geothermal energy," Renewable Energy, Elsevier, vol. 74(C), pages 37-48.
    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. Wu, Shaohua & Yu, Ziwang & Kang, Jianguo & Zhang, Yanjun & Gao, Ping, 2021. "Research on the anisotropy of thermal conductivity of rocks in Songliao basin, China," Renewable Energy, Elsevier, vol. 179(C), pages 593-603.
    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. Chen, Guodong & Jiao, Jiu Jimmy & Jiang, Chuanyin & Luo, Xin, 2024. "Surrogate-assisted level-based learning evolutionary search for geothermal heat extraction optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. 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).
    7. 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.
    8. Xue, Zhenqian & Ma, Haoming & Wei, Yizheng & Wu, Wei & Sun, Zhe & Chai, Maojie & Zhang, Chi & Chen, Zhangxin, 2024. "Integrated technological and economic feasibility comparisons of enhanced geothermal systems associated with carbon storage," Applied Energy, Elsevier, vol. 359(C).
    9. 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.
    10. 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.

    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. Liu, Guihong & Wang, Guiling & Zhao, Zhihong & Ma, Feng, 2020. "A new well pattern of cluster-layout for deep geothermal reservoirs: Case study from the Dezhou geothermal field, China," Renewable Energy, Elsevier, vol. 155(C), pages 484-499.
    2. Wang, Jiacheng & Zhao, Zhihong & Liu, Guihong & Xu, Haoran, 2022. "A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm," Energy, Elsevier, vol. 254(PC).
    3. Chi Yao & Yulong Shao & Jianhua Yang, 2018. "Numerical Investigation on the Influence of Areal Flow on EGS Thermal Exploitation Based on the 3-D T-H Single Fracture Model," Energies, MDPI, vol. 11(11), pages 1-19, November.
    4. Wang, Gaosheng & Song, Xianzhi & Shi, Yu & Yang, Ruiyue & Yulong, Feixue & Zheng, Rui & Li, Jiacheng, 2021. "Heat extraction analysis of a novel multilateral-well coaxial closed-loop geothermal system," Renewable Energy, Elsevier, vol. 163(C), pages 974-986.
    5. Yang, Fujian & Wang, Guiling & Hu, Dawei & Liu, Yanguang & Zhou, Hui & Tan, Xianfeng, 2021. "Calibrations of thermo-hydro-mechanical coupling parameters for heating and water-cooling treated granite," Renewable Energy, Elsevier, vol. 168(C), pages 544-558.
    6. He, Renhui & Rong, Guan & Tan, Jie & Phoon, Kok-Kwang & Quan, Junsong, 2022. "Numerical evaluation of heat extraction performance in enhanced geothermal system considering rough-walled fractures," Renewable Energy, Elsevier, vol. 188(C), pages 524-544.
    7. Ding, Junfeng & Wang, Shimin, 2018. "2D modeling of well array operating enhanced geothermal system," Energy, Elsevier, vol. 162(C), pages 918-932.
    8. Song, Xianzhi & Shi, Yu & Li, Gensheng & Yang, Ruiyue & Wang, Gaosheng & Zheng, Rui & Li, Jiacheng & Lyu, Zehao, 2018. "Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells," Applied Energy, Elsevier, vol. 218(C), pages 325-337.
    9. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu & Zhang, Haijun, 2020. "Numerical simulation study on the heat extraction performance of multi-well injection enhanced geothermal system," Renewable Energy, Elsevier, vol. 151(C), pages 782-795.
    10. Liming Zhang & Zekun Deng & Kai Zhang & Tao Long & Joshua Kwesi Desbordes & Hai Sun & Yongfei Yang, 2019. "Well-Placement Optimization in an Enhanced Geothermal System Based on the Fracture Continuum Method and 0-1 Programming," Energies, MDPI, vol. 12(4), pages 1-20, February.
    11. Olasolo, P. & Juárez, M.C. & Morales, M.P. & Olasolo, A. & Agius, M.R., 2018. "Analysis of working fluids applicable in Enhanced Geothermal Systems: Nitrous oxide as an alternative working fluid," Energy, Elsevier, vol. 157(C), pages 150-161.
    12. Zhang, Yanjun & Ma, Yueqiang & Hu, Zhongjun & Lei, Honglei & Bai, Lin & Lei, Zhihong & Zhang, Qian, 2019. "An experimental investigation into the characteristics of hydraulic fracturing and fracture permeability after hydraulic fracturing in granite," Renewable Energy, Elsevier, vol. 140(C), pages 615-624.
    13. 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.
    14. Zhang, Jie & Xie, Jingxuan, 2020. "Effect of reservoir’s permeability and porosity on the performance of cellular development model for enhanced geothermal system," Renewable Energy, Elsevier, vol. 148(C), pages 824-838.
    15. Zheng, Jun & Li, Peng & Dou, Bin & Fan, Tao & Tian, Hong & Lai, Xiaotian, 2022. "Impact research of well layout schemes and fracture parameters on heat production performance of enhanced geothermal system considering water cooling effect," Energy, Elsevier, vol. 255(C).
    16. Eyerer, S. & Schifflechner, C. & Hofbauer, S. & Bauer, W. & Wieland, C. & Spliethoff, H., 2020. "Combined heat and power from hydrothermal geothermal resources in Germany: An assessment of the potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    17. Dai, Jiacheng & Li, Jingbin & Wang, Tianyu & Zhu, Liying & Tian, Kangjian & Chen, Zhaoting, 2023. "Thermal performance analysis of coaxial borehole heat exchanger using liquid ammonia," Energy, Elsevier, vol. 263(PE).
    18. Chen, Guodong & Jiao, Jiu Jimmy & Jiang, Chuanyin & Luo, Xin, 2024. "Surrogate-assisted level-based learning evolutionary search for geothermal heat extraction optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    19. Xu, Fuqiang & Song, Xianzhi & Song, Guofeng & Ji, Jiayan & Song, Zihao & Shi, Yu & Lv, Zehao, 2023. "Numerical studies on heat extraction evaluation and multi-objective optimization of abandoned oil well patterns in intermittent operation mode," Energy, Elsevier, vol. 269(C).
    20. Wang, Nanzhe & Chang, Haibin & Kong, Xiang-Zhao & Zhang, Dongxiao, 2023. "Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability," Renewable Energy, Elsevier, vol. 211(C), pages 379-394.

    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:renene:v:134:y:2019:i:c:p:379-389. 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.journals.elsevier.com/renewable-energy .

    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.