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Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)

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  • Ahmadi, Mohammad H.
  • Ahmadi, Mohammad Ali
  • Sadatsakkak, Seyed Abbas

Abstract

The main goal of this research is to specify the best assessment indexes for irreversible refrigeration cycles. These approaches available in the previous works are the ecological coefficient of performance and exergetic performance coefficient. Irreversible Carnot refrigerator is defined as a system. External and internal irreversibilities are included in the thermodynamic analysis. In this work, two scenarios of optimization are defined. The outcomes of each scenario are evaluated distinctly. In first scenario, in order to maximize the ecological coefficient of performance (ECOP) and exergy input to the system (Ex) and cooling load (QL), multi-objective optimization algorithms have been utilized. Also, in second scenario, three objective functions comprising the ecological coefficient of performance (ECOP) and exergy input to the system (Ex) and exergetic performance criteria (EPC) are maximized concurrently via multi-objective optimization approach. Multi-objective evolutionary algorithms (MOEAs) joined with NSGA-II approach are employed throughout this paper. Three robust decision making methods including LINAMP, TOPSIS and FUZZY are employed to ascertain final solutions. Finally, error analyses of the outputs gained via decision making methods are determined.

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  • Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas, 2015. "Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1055-1070.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:1055-1070
    DOI: 10.1016/j.rser.2015.07.006
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    Cited by:

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    6. Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    7. Chen, Lingen & Zhang, Lei & Xia, Shaojun & Sun, Fengrui, 2018. "Entropy generation minimization for CO2 hydrogenation to light olefins," Energy, Elsevier, vol. 147(C), pages 187-196.
    8. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.
    9. Zhou, Junle & Chen, Lingen & Ding, Zemin & Sun, Fengrui, 2016. "Analysis and optimization with ecological objective function of irreversible single resonance energy selective electron heat engines," Energy, Elsevier, vol. 111(C), pages 306-312.
    10. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
    11. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Pourfayaz, Fathollah & Hosseinzade, Hadi & Acıkkalp, Emin & Tlili, Iskander & Feidt, Michel, 2016. "Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 585-595.
    12. Yu, Youhong & Ding, Zemin & Chen, Lingen & Wang, Wenhua & Sun, Fengrui, 2016. "Power and efficiency optimization for an energy selective electron heat engine with double-resonance energy filter," Energy, Elsevier, vol. 107(C), pages 287-294.
    13. Jianyun, Zhu & Li, Chen & Lijuan, Xia & Bin, Wang, 2019. "Bi-objective optimal design of plug-in hybrid electric propulsion system for ships," Energy, Elsevier, vol. 177(C), pages 247-261.

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