IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v400y2025ics0306261925011973.html

Impact of geothermal well heat losses on the performance of green hydrogen production

Author

Listed:
  • Hamlehdar, Maryam
  • Makasis, Nikolas
  • Ferrari, Alessio
  • Narsilio, Guillermo A.

Abstract

This study conducts a thermo-economic assessment for hydrogen production utilizing geothermal energy over a 30-year period, with a focus on the often-overlooked heat losses in wells and their impact on system performance. The geothermal system is accurately simulated using a detailed full 3D geometry finite element model that incorporates impervious ground and aquifer layers. A hybrid numerical modelling approach is used, integrating both underground and aboveground components to compare the performance of simple and advanced Organic Rankine Cycle systems against traditional aquifer only models, commonly used for underground components. The findings reveal that the temperature difference between the bottom and top of the production well, caused by heat losses, can have a substantial effect on hydrogen production costs and rates. During the first five years, this temperature difference averages 7.3 °C, resulting in a 28 % variation in hydrogen production rate and a 10.2 % difference in costs. Over the last 10 years, the temperature difference gradually decreased to 1.4 °C, leading to a 6 % variation in hydrogen rate and a 5 % cost difference compared to models that do not account for this well temperature variation. This study demonstrates that including all ground layers in the modelling of hydrogen production systems is critical. The heat exchange between wellbores and the impervious ground mass above the aquifer significantly influences the system's performance, underscoring the need for comprehensive modelling approaches.

Suggested Citation

  • Hamlehdar, Maryam & Makasis, Nikolas & Ferrari, Alessio & Narsilio, Guillermo A., 2025. "Impact of geothermal well heat losses on the performance of green hydrogen production," Applied Energy, Elsevier, vol. 400(C).
  • Handle: RePEc:eee:appene:v:400:y:2025:i:c:s0306261925011973
    DOI: 10.1016/j.apenergy.2025.126467
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925011973
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126467?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Lazzaretto, Andrea & Tsatsaronis, George, 2006. "SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems," Energy, Elsevier, vol. 31(8), pages 1257-1289.
    3. Bujakowski, Wiesław & Tomaszewska, Barbara & Miecznik, Maciej, 2016. "The Podhale geothermal reservoir simulation for long-term sustainable production," Renewable Energy, Elsevier, vol. 99(C), pages 420-430.
    4. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari, 2017. "Energy, economic and environmental (3E) aspects of internal heat exchanger for ORC geothermal power plants," Energy, Elsevier, vol. 140(P1), pages 1096-1106.
    5. Mohammadi, Amin & Mehrpooya, Mehdi, 2018. "A comprehensive review on coupling different types of electrolyzer to renewable energy sources," Energy, Elsevier, vol. 158(C), pages 632-655.
    6. Younas, Umair & Khan, B. & Ali, S.M. & Arshad, C.M. & Farid, U. & Zeb, Kamran & Rehman, Fahad & Mehmood, Yasir & Vaccaro, A., 2016. "Pakistan geothermal renewable energy potential for electric power generation: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 398-413.
    7. Lei, Zhihong & Zhang, Yanjun & Yu, Ziwang & Hu, Zhongjun & Li, Liangzhen & Zhang, Senqi & Fu, Lei & Zhou, Ling & Xie, Yangyang, 2019. "Exploratory research into the enhanced geothermal system power generation project: The Qiabuqia geothermal field, Northwest China," Renewable Energy, Elsevier, vol. 139(C), pages 52-70.
    8. Willems, C.J.L. & M. Nick, H., 2019. "Towards optimisation of geothermal heat recovery: An example from the West Netherlands Basin," Applied Energy, Elsevier, vol. 247(C), pages 582-593.
    9. Babaei, Masoud & Nick, Hamidreza M., 2019. "Performance of low-enthalpy geothermal systems: Interplay of spatially correlated heterogeneity and well-doublet spacings," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. 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.
    11. Li, Shengtao & Wen, Dongguang & Feng, Bo & Li, Fengyu & Yue, Dongdong & Zhang, Qiuxia & Wang, Junzhao & Feng, Zhaolong, 2023. "Numerical optimization of geothermal energy extraction from deep karst reservoir in North China," Renewable Energy, Elsevier, vol. 202(C), pages 1071-1085.
    12. 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.
    13. Ranjbar Hasani, Mohammad & Nedaei, Navid & Assareh, Ehsanolah & Alirahmi, Seyed Mojtaba, 2023. "Thermo-economic appraisal and operating fluid selection of geothermal-driven ORC configurations integrated with PEM electrolyzer," Energy, Elsevier, vol. 262(PB).
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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.
    3. Hsieh, Jui-Ching & Li, Yi-Chen & Lin, Yu-Cheng & Yeh, Tzu-Chuan, 2024. "Off-design performance and economic analysis in coupled binary cycle with geothermal reservoir and turbo-expander," Energy, Elsevier, vol. 305(C).
    4. Gao, Xuefeng & Zhang, Yanjun & Cheng, Yuxiang & Huang, Yibin & Deng, Hao & Ma, Yongjie, 2022. "A novel strategy utilizing local fracture networks to enhance CBHE heat extraction performance: A case study of the Songyuan geothermal field in China," Energy, Elsevier, vol. 255(C).
    5. Kane, Entela & Leeuwenburgh, Olwijn & Joosten, Gerard & Daniilidis, Alexandros & Bruhn, David, 2025. "Flexible well patterns and cashflow optimisation on large-scale geothermal field development," Renewable Energy, Elsevier, vol. 243(C).
    6. Yu, Ruyang & Zhang, Kai & Li, Tao & Jiang, Shu, 2025. "Interpretable predictive modelling of outlet temperatures in Central Alberta's hydrothermal system using boosting-based ensemble learning incorporating Shapley Additive exPlanations approach," Energy, Elsevier, vol. 318(C).
    7. Yu, Ruyang & Zhang, Kai & Ramasubramanian, Brindha & Jiang, Shu & Ramakrishna, Seeram & Tang, Yuhang, 2024. "Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China," Energy, Elsevier, vol. 296(C).
    8. Liao, Jianxing & Xie, Yachen & Zhao, Pengfei & Xia, Kaiwen & Xu, Bin & Wang, Hong & Li, Cunbao & Li, Cong & Liu, Hejuan, 2024. "Probabilistic assessment of the thermal performance of low-enthalpy geothermal system under impact of spatially correlated heterogeneity by using XGBoost algorithms," Energy, Elsevier, vol. 313(C).
    9. Chen, Jinfan & Zhao, Zhihong & Wang, Jiacheng, 2025. "A time-series forecasting model-based optimization approach for well-doublet system in geothermal reservoirs under geological uncertainty," Energy, Elsevier, vol. 330(C).
    10. Madani, Mohammad & Sharifi, Mohammad, 2025. "Effects of permeability heterogeneity on heat extraction performance in geothermal reservoirs with carbon dioxide working fluid," Energy, Elsevier, vol. 324(C).
    11. Daniilidis, Alexandros & Saeid, Sanaz & Doonechaly, Nima Gholizadeh, 2021. "The fault plane as the main fluid pathway: Geothermal field development options under subsurface and operational uncertainty," Renewable Energy, Elsevier, vol. 171(C), pages 927-946.
    12. Wang, Guiling & Liu, Guihong & Zhao, Zhihong & Liu, Yanguang & Pu, Hai, 2019. "A robust numerical method for modeling multiple wells in city-scale geothermal field based on simplified one-dimensional well model," Renewable Energy, Elsevier, vol. 139(C), pages 873-894.
    13. Dong, Yubin & Xue, Liang & Song, Xianzhi & Huang, Zhongwei & Liu, Yuetian & Chen, Haiyang, 2025. "Multi-physics coupling mechanisms and key development factors in enhanced geothermal systems for hot dry rock," Energy, Elsevier, vol. 337(C).
    14. Zhang, Xiaofeng & Yan, Renshi & Zeng, Rong & Zhu, Ruilin & Kong, Xiaoying & He, Yecong & Li, Hongqiang, 2022. "Integrated performance optimization of a biomass-based hybrid hydrogen/thermal energy storage system for building and hydrogen vehicles," Renewable Energy, Elsevier, vol. 187(C), pages 801-818.
    15. Marcin Kremieniewski & Bartłomiej Jasiński & Grzegorz Zima & Łukasz Kut, 2021. "Reduction of Fractionation of Lightweight Slurry to Geothermal Boreholes," Energies, MDPI, vol. 14(12), pages 1-11, June.
    16. Agnieszka Operacz & Bogusław Bielec & Barbara Tomaszewska & Michał Kaczmarczyk, 2020. "Physicochemical Composition Variability and Hydraulic Conditions in a Geothermal Borehole—The Latest Study in Podhale Basin, Poland," Energies, MDPI, vol. 13(15), pages 1-18, July.
    17. Jahanbani Veshareh, Moein & Thaysen, Eike Marie & Nick, Hamidreza M., 2022. "Feasibility of hydrogen storage in depleted hydrocarbon chalk reservoirs: Assessment of biochemical and chemical effects," Applied Energy, Elsevier, vol. 323(C).
    18. Ma, Yueqiang & Zhang, Yanjun & Hu, Zhongjun & Yu, Ziwang & Zhou, Ling & Huang, Yibin, 2020. "Numerical investigation of heat transfer performance of water flowing through a reservoir with two intersecting fractures," Renewable Energy, Elsevier, vol. 153(C), pages 93-107.
    19. Li, Shengtao & Wen, Dongguang & Feng, Bo & Li, Fengyu & Yue, Dongdong & Zhang, Qiuxia & Wang, Junzhao & Feng, Zhaolong, 2023. "Numerical optimization of geothermal energy extraction from deep karst reservoir in North China," Renewable Energy, Elsevier, vol. 202(C), pages 1071-1085.
    20. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling," Renewable Energy, Elsevier, vol. 112(C), pages 151-165.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:400:y:2025:i:c:s0306261925011973. 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.