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The Impact of Soil Hydrothermal Properties on Geothermal Power Generation (GPG): Modeling and Analysis

Author

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  • Zhengguang Liu

    (Department of Power and Electrical Engineering, Northwest A&F University, Yangling 712100, China)

  • Gaoyang Hou

    (Department of Power and Electrical Engineering, Northwest A&F University, Yangling 712100, China)

  • Ying Song

    (Department of Power and Electrical Engineering, Northwest A&F University, Yangling 712100, China)

  • Hessam Taherian

    (School of Science, Engineering, and Technology, Pennsylvania State University, Harrisburg, PA 17057, USA)

  • Shuaiwei Qi

    (Department of Power and Electrical Engineering, Northwest A&F University, Yangling 712100, China)

Abstract

Geothermal power plants have become the main application that utilizes geothermal energy. The utilization of deep geothermal energy adheres great importance to the soil condition. One of the biggest challenges faced by geothermal power plant designers is to reduce the risk of soil exploration. To solve this problem, forecasting by modeling has proven to be an important tool to address the problem. In this research, a geo-model was established by modeling three geological layers with different hydraulic and thermal properties to solve the above dilemma. The layers, elevation, and fault zones were simulated using interpolation functions from an artificial dataset. The coupled porous media flow and heat transfer problem using Darcy’s law, as well as heat transfer in porous media interfaces, were studied. The evolution of the flow field, hydrothermal performance, and temperature gradient were also analyzed for a period of 10 years. The results showed the recoverable thermal energy area gradually moved downwards during the 10-year simulation time. When the distance between the recharge well and the production well exceeded 200 m, the collection efficiency was significantly decreased. After 5 years of extraction, the power generation efficiency of the heat source will be less than 9.75%. These results effectively avoided the exploration cost of geothermal power plant site selection, which is significant for the efficiency improvement of geothermal energy.

Suggested Citation

  • Zhengguang Liu & Gaoyang Hou & Ying Song & Hessam Taherian & Shuaiwei Qi, 2022. "The Impact of Soil Hydrothermal Properties on Geothermal Power Generation (GPG): Modeling and Analysis," Energies, MDPI, vol. 15(2), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:448-:d:720906
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    References listed on IDEAS

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    2. Clarke, Joshua & McLeskey, James T., 2015. "Multi-objective particle swarm optimization of binary geothermal power plants," Applied Energy, Elsevier, vol. 138(C), pages 302-314.
    3. Moya, Diego & Aldás, Clay & Kaparaju, Prasad, 2018. "Geothermal energy: Power plant technology and direct heat applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 889-901.
    4. Xia, Liangyu & Zhang, Yabo, 2019. "An overview of world geothermal power generation and a case study on China—The resource and market perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 411-423.
    5. Cui, Yuanlong & Zhu, Jie & Twaha, Ssennoga & Riffat, Saffa, 2018. "A comprehensive review on 2D and 3D models of vertical ground heat exchangers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 84-114.
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