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A numerical analysis of a composition-adjustable Kalina cycle power plant for power generation from low-temperature geothermal sources

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  • Wang, Enhua
  • Yu, Zhibin

Abstract

The Kalina cycle is believed to be one of the most promising technologies for power generation from low temperature heat sources such as geothermal energy. So far, most Kalina cycle power plants are designed with a working fluid mixture having a fixed composition, and thus normally operate at a fixed condensing temperature. However, the ambient temperature (i.e., heat sink) varies over a large range as the season changes over a year, particularly in continental climates. Recently, a new concept, i.e., composition-adjustable Kalina cycle, was proposed to develop power plants that can match their condensing temperature with the changing ambient conditions, aiming at improving the cycle’s overall thermal efficiency. However, no detailed analysis of its implementation and the potential benefits under various climate conditions has been reported. For this reason, this paper carried out a comprehensive numerical research on its implementation and performance analysis under several different climate conditions. A mathematical model is firstly established to simulate the working principle of a composition-adjustable Kalina cycle, based on which a numerical program is then developed to analyse the cycle’s performance under various climate conditions. The developed numerical model is verified with some published data. The dynamic composition adjustment in response to the changing ambient temperature is simulated to evaluate its effect on the plant’s performance over a year. The results show that a composition-adjustable Kalina cycle could achieve higher annual-average thermal efficiency than a conventional one with a fixed mixture composition. However, such an improvement of thermal efficiency strongly depends on the heat source temperature, climate conditions, etc. The composition-adjusting system introduces extra capital and operation costs. The economic viability of a composition-adjustable Kalina cycle power plant depends on the balance between these extra costs and the increase of thermal efficiency.

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  • Wang, Enhua & Yu, Zhibin, 2016. "A numerical analysis of a composition-adjustable Kalina cycle power plant for power generation from low-temperature geothermal sources," Applied Energy, Elsevier, vol. 180(C), pages 834-848.
    • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:834-848
    DOI: 10.1016/j.apenergy.2016.08.032
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    15. Wang, Jianyong & Wang, Jiangfeng & Dai, Yiping & Zhao, Pan, 2017. "Assessment of off-design performance of a Kalina cycle driven by low-grade heat source," Energy, Elsevier, vol. 138(C), pages 459-472.
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    18. Jiang, L. & Roskilly, A.P. & Wang, R.Z. & Wang, L.W., 2018. "Analysis on innovative resorption cycle for power and refrigeration cogeneration," Applied Energy, Elsevier, vol. 218(C), pages 10-21.
    19. Dehghani, Mohammad Javad & Yoo, ChangKyoo, 2020. "Three-step modification and optimization of Kalina power-cooling cogeneration based on energy, pinch, and economics analyses," Energy, Elsevier, vol. 205(C).
    20. Uemura, Yuta & Kawasaki, Toshiyuki & Obara, Shin’ya, 2021. "Analysis of the performance of an electricity generation system using the CO2 hydrate formation and dissociation process for heat recover," Energy, Elsevier, vol. 218(C).
    21. Michał Kaczmarczyk & Barbara Tomaszewska & Agnieszka Operacz, 2020. "Sustainable Utilization of Low Enthalpy Geothermal Resources to Electricity Generation through a Cascade System," Energies, MDPI, vol. 13(10), pages 1-18, May.
    22. Lee, Inkyu & Tester, Jefferson William & You, Fengqi, 2019. "Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 551-577.
    23. Qu, Wanjun & Hong, Hui & Su, Bosheng & Tang, Sanli & Jin, Hongguang, 2018. "A concentrating photovoltaic/Kalina cycle coupled with absorption chiller," Applied Energy, Elsevier, vol. 224(C), pages 481-493.

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