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Thermoeconomic optimization of subcooled and superheated vapor compression refrigeration cycle

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  • Selbaş, Reşat
  • Kızılkan, Önder
  • Şencan, Arzu

Abstract

An exergy-based thermoeconomic optimization application is applied to a subcooled and superheated vapor compression refrigeration system. The advantage of using the exergy method of thermoeconomic optimization is that various elements of the system—i.e., condenser, evaporator, subcooling and superheating heat exchangers—can be optimized on their own. The application consists of determining the optimum heat exchanger areas with the corresponding optimum subcooling and superheating temperatures. A cost function is specified for the optimum conditions. All calculations are made for three refrigerants: R22, R134a, and R407c. Thermodynamic properties of refrigerants are formulated using the Artificial Neural Network methodology.

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  • Selbaş, Reşat & Kızılkan, Önder & Şencan, Arzu, 2006. "Thermoeconomic optimization of subcooled and superheated vapor compression refrigeration cycle," Energy, Elsevier, vol. 31(12), pages 2108-2128.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:12:p:2108-2128
    DOI: 10.1016/j.energy.2005.10.015
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    11. Sun, Zhili & Wang, Qifan & Xie, Zhiyuan & Liu, Shengchun & Su, Dandan & Cui, Qi, 2019. "Energy and exergy analysis of low GWP refrigerants in cascade refrigeration system," Energy, Elsevier, vol. 170(C), pages 1170-1180.
    12. Bakirci, Kadir & Colak, Derya, 2012. "Effect of a superheating and sub-cooling heat exchanger to the performance of a ground source heat pump system," Energy, Elsevier, vol. 44(1), pages 996-1004.
    13. Janghorban Esfahani, Iman & Yoo, Changkyoo, 2014. "A highly efficient combined multi-effect evaporation-absorption heat pump and vapor-compression refrigeration part 2: Thermoeconomic and flexibility analysis," Energy, Elsevier, vol. 75(C), pages 327-337.
    14. Yang, Mina & Jung, Chung Woo & Kang, Yong Tae, 2015. "Development of high efficiency cycles for domestic refrigerator-freezer application," Energy, Elsevier, vol. 93(P2), pages 2258-2266.
    15. Keshtkar, Mohammad Mehdi & Talebizadeh, Pouyan, 2017. "Multi-objective optimization of cooling water package based on 3E analysis: A case study," Energy, Elsevier, vol. 134(C), pages 840-849.
    16. Xu, Yingjie & Mao, Chengbin & Huang, Yuangong & Shen, Xi & Xu, Xiaoxiao & Chen, Guangming, 2021. "Performance evaluation and multi-objective optimization of a low-temperature CO2 heat pump water heater based on artificial neural network and new economic analysis," Energy, Elsevier, vol. 216(C).
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