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Optimization of Organic Rankine Cycle for Hot Dry Rock Power System: A Stackelberg Game Approach

Author

Listed:
  • Zhehao Hu

    (School of Energy and Electrical Engineering, Qinghai University Xining, Xining 810016, China)

  • Wenbin Wu

    (Engineer School, Qinghai Institute of Technology, Xining 810016, China)

  • Yang Si

    (Engineer School, Qinghai Institute of Technology, Xining 810016, China)

Abstract

Due to its simple structure and stable operation, the Organic Rankine Cycle (ORC) has gained significant attention as a primary solution for low-grade thermal power generation. However, the economic challenges associated with development difficulties in hot dry rock (HDR) geothermal power systems have necessitated a better balance between performance and cost effectiveness within ORC systems. This paper establishes a game pattern of the Organic Rankine Cycle with performance as the master layer and economy as the slave layer, based on the Stackelberg game theory. The optimal working fluid for the ORC is identified as R600. At the R600 mass flow rate of 50 kg/s, the net system cycle work is 4186 kW, the generation efficiency is 14.52%, and the levelized cost of energy is 0.0176 USD/kWh. The research establishes an optimization method for the Organic Rankine Cycle based on the Stackelberg game framework, where the network of the system is the primary optimization objective, and the heat transfer areas of the evaporator and condenser serve as the secondary optimization objective. An iterative solving method is utilized to achieve equilibrium between the performance and economy of the ORC system. The proposed method is validated through a case study utilizing hot dry rock data from Qinghai Gonghe, allowing for a thorough analysis of the working fluid and system parameters. The findings indicate that the proposed approach effectively balances ORC performance with economic considerations, thereby enhancing the overall revenue of the HDR power system.

Suggested Citation

  • Zhehao Hu & Wenbin Wu & Yang Si, 2024. "Optimization of Organic Rankine Cycle for Hot Dry Rock Power System: A Stackelberg Game Approach," Energies, MDPI, vol. 17(20), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5151-:d:1500055
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    References listed on IDEAS

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    1. Lu, Shyi-Min, 2018. "A global review of enhanced geothermal system (EGS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2902-2921.
    2. Zhang, Cheng & Liu, Chao & Wang, Shukun & Xu, Xiaoxiao & Li, Qibin, 2017. "Thermo-economic comparison of subcritical organic Rankine cycle based on different heat exchanger configurations," Energy, Elsevier, vol. 123(C), pages 728-741.
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    Cited by:

    1. Jie Li & Shengyuan Ji & Xiuli Wang & Hengyuan Zhang & Yafei Li & Xiaojie Qian & Yunpeng Xiao, 2024. "A Stackelberg Game-Based Optimal Scheduling Model for Multi-Microgrid Systems Considering Photovoltaic Consumption and Integrated Demand Response," Energies, MDPI, vol. 17(23), pages 1-18, November.

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