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Effect of different flow schemes on heat recovery from Enhanced Geothermal Systems (EGS)

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  • Asai, Pranay
  • Panja, Palash
  • McLennan, John
  • Deo, Milind

Abstract

Operational optimization is the key to maximize the heat extraction efficiency of Enhanced Geothermal Systems (EGS). Injection/production flowrate is one of the operational parameters that can be easily manipulated to produce desired amount of energy. In this study, the effect of different flow schemes on the rate of heat production is analyzed over a period of 30 years. Seven flow schemes (four continuous functions namely constant flow, linear flow, exponential flow, mirror exponential flow, and three step functions with step sizes of six months, three years and ten years) developed on the basis of mathematical functions were examined. A doublet EGS model with a single fracture was simulated using a commercial thermal reservoir simulator. The reservoir and well data were obtained from the FORGE (Frontier Observatory for Research in Geothermal Energy) site at Milford Utah. The results were analyzed on the basis of their temperature decline curves for the produced water and the total amount of heat extracted over the entire period. The exponential flow scheme is the optimum case considering the rise in energy demand over the next 30 years. The amount of heat extracted per unit volume of water decreases with increase in total water volume circulated.

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  • Asai, Pranay & Panja, Palash & McLennan, John & Deo, Milind, 2019. "Effect of different flow schemes on heat recovery from Enhanced Geothermal Systems (EGS)," Energy, Elsevier, vol. 175(C), pages 667-676.
    • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:667-676
    DOI: 10.1016/j.energy.2019.03.124
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    5. Zhu, Zhennan & Ranjith, Pathegama Gamage & Tian, Hong & Jiang, Guosheng & Dou, Bin & Mei, Gang, 2021. "Relationships between P-wave velocity and mechanical properties of granite after exposure to different cyclic heating and water cooling treatments," Renewable Energy, Elsevier, vol. 168(C), pages 375-392.
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    9. Wu, Xiaotian & Yu, Likui & Hassan, N.M.S. & Ma, Weiwu & Liu, Gang, 2021. "Evaluation and optimization of heat extraction in enhanced geothermal system via failure area percentage," Renewable Energy, Elsevier, vol. 169(C), pages 204-220.
    10. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu & Liu, Xuemei & Liu, Hongliang, 2020. "Analysis on the heat extraction performance of multi-well injection enhanced geothermal system based on leaf-like bifurcated fracture networks," Energy, Elsevier, vol. 213(C).
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    12. Akdas, Satuk Bugra & Onur, Mustafa, 2022. "Analytical solutions for predicting and optimizing geothermal energy extraction from an enhanced geothermal system with a multiple hydraulically fractured horizontal-well doublet," Renewable Energy, Elsevier, vol. 181(C), pages 567-580.
    13. Xiang Gao & Tailu Li & Yao Zhang & Xiangfei Kong & Nan Meng, 2022. "A Review of Simulation Models of Heat Extraction for a Geothermal Reservoir in an Enhanced Geothermal System," Energies, MDPI, vol. 15(19), pages 1-23, September.
    14. 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).
    15. Yuan Zhao & Lingfeng Shu & Shunyi Chen & Jun Zhao & Liangliang Guo, 2022. "Optimization Design of Multi-Factor Combination for Power Generation from an Enhanced Geothermal System by Sensitivity Analysis and Orthogonal Test at Qiabuqia Geothermal Area," Sustainability, MDPI, vol. 14(12), pages 1-35, June.
    16. Hu, Xincheng & Banks, Jonathan & Guo, Yunting & Liu, Wei Victor, 2022. "Utilizing geothermal energy from enhanced geothermal systems as a heat source for oil sands separation: A numerical evaluation," Energy, Elsevier, vol. 238(PA).
    17. Spittler, Nathalie & Shafiei, Ehsan & Davidsdottir, Brynhildur & Juliusson, Egill, 2020. "Modelling geothermal resource utilization by incorporating resource dynamics, capacity expansion, and development costs," Energy, Elsevier, vol. 190(C).
    18. Xue, Zhenqian & Zhang, Kai & Zhang, Chi & Ma, Haoming & Chen, Zhangxin, 2023. "Comparative data-driven enhanced geothermal systems forecasting models: A case study of Qiabuqia field in China," Energy, Elsevier, vol. 280(C).
    19. 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).
    20. Guo, Tiankui & Tang, Songjun & Sun, Jiang & Gong, Facheng & Liu, Xiaoqiang & Qu, Zhanqing & Zhang, Wei, 2020. "A coupled thermal-hydraulic-mechanical modeling and evaluation of geothermal extraction in the enhanced geothermal system based on analytic hierarchy process and fuzzy comprehensive evaluation," Applied Energy, Elsevier, vol. 258(C).
    21. Yang, Ruiyue & Hong, Chunyang & Liu, Wei & Wu, Xiaoguang & Wang, Tianyu & Huang, Zhongwei, 2021. "Non-contaminating cryogenic fluid access to high-temperature resources: Liquid nitrogen fracturing in a lab-scale Enhanced Geothermal System," Renewable Energy, Elsevier, vol. 165(P1), pages 125-138.

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