Optimization of Organic Rankine Cycle for Hot Dry Rock Power System: A Stackelberg Game Approach
Zhehao Hu,
Wenbin Wu and
Yang Si ()
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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
Energies, 2024, vol. 17, issue 20, 1-20
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.
Keywords: hot dry rock; organic Rankine cycle; Stackelberg game; system net work (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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