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Exergy analysis and optimization of Rankine power and ejector refrigeration combined cycle

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  • Zahedi, Rahim
  • Daneshgar, Sareh

Abstract

This article proposes a combined cycle which consists of the hybrid Rankine power cycle and Ejector refrigeration cycle. This cycle is capable of producing thermal and refrigeration powers simultaneously. The proposed cycle can function through the heat exhausting from gas turbines, energy dissipations of factories, solar energy, or geothermal energy. In this research, Exergy analysis is used to improve the cycle; and Parametric analysis is used to investigate the effects of thermodynamic characteristics on the performance of the cycle. The results indicate that the most exergy dissipations occur as a result of irreversibilities and that ejectors have a significant role in such irrevesibilities. It has also been noted that factors such as the inlet pressure to turbine, turbine outlet pressure, and the temperature of condenser and evaporator have a considerable effect on turbine's output power and exergy efficiency of the cycle. The optimized exergy efficiency is 24.52% under the given condition.

Suggested Citation

  • Zahedi, Rahim & Daneshgar, Sareh, 2022. "Exergy analysis and optimization of Rankine power and ejector refrigeration combined cycle," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030681
    DOI: 10.1016/j.energy.2021.122819
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    References listed on IDEAS

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    1. Zahedi, Rahim & Ahmadi, Abolfazl & Dashti, Reza, 2021. "Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Vijayaraghavan, S. & Goswami, D.Y., 2006. "A combined power and cooling cycle modified to improve resource utilization efficiency using a distillation stage," Energy, Elsevier, vol. 31(8), pages 1177-1196.
    3. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    4. Wang, Jiangfeng & Dai, Yiping & Gao, Lin, 2008. "Parametric analysis and optimization for a combined power and refrigeration cycle," Applied Energy, Elsevier, vol. 85(11), pages 1071-1085, November.
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    Cited by:

    1. Mohammad Mahdi Forootan & Iman Larki & Rahim Zahedi & Abolfazl Ahmadi, 2022. "Machine Learning and Deep Learning in Energy Systems: A Review," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    2. Rahim Zahedi & Alireza Zahedi & Abolfazl Ahmadi, 2022. "Strategic Study for Renewable Energy Policy, Optimizations and Sustainability in Iran," Sustainability, MDPI, vol. 14(4), pages 1-29, February.
    3. Zhong, Xiaohui & Chen, Tao & Sun, Xiangyu & Song, Juanjuan & Zeng, Jiajun, 2022. "Conventional and advanced exergy analysis of a novel wind-to-heat system," Energy, Elsevier, vol. 261(PA).
    4. Maghzian, Ali & Aslani, Alireza & Zahedi, Rahim & Yaghoubi, Milad, 2023. "How to effectively produce value-added products from microalgae?," Renewable Energy, Elsevier, vol. 204(C), pages 262-276.

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