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Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII

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  • Ahmadi, Mohammad Hossein
  • Ahmadi, Mohammad Ali

Abstract

This study demonstrates an optimization investigation of an irreversible refrigeration absorption system based on the new thermo-ecological criterion. The specific entropy generation rate and the ecological coefficient of performance (ECOP) were presumed as objective function in multi-objective optimization process. Multi-objective optimization algorithm (MOEA) improved by NSGAII algorithm was employed to optimize simultaneously two aforementioned objective functions. In order to get the best performance ECOP has been maximized and specific entropy generation rate was minimized. Decision making has been done via two well-organized methods including TOPSIS and LINAMP. Error analysis and sensitivity analysis was executed on the answers gained via two decision makers in the above mentioned system. Finally, results of this paper were compared to the previous researches and this comparison reveals that the results achieved here are reasonable in comparison with previous ones.

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  • 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.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:784-794
    DOI: 10.1016/j.rser.2015.12.181
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    7. Ahmadi, Mohammad H. & Hosseinzade, Hadi & Sayyaadi, Hoseyn & Mohammadi, Amir H. & Kimiaghalam, Farshad, 2013. "Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss," Renewable Energy, Elsevier, vol. 60(C), pages 313-322.
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    11. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas & Feidt, Michel, 2015. "Connectionist intelligent model estimates output power and torque of stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 871-883.
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    7. Zhang, Debao & Liu, Junwei & Jiao, Shifei & Tian, Hao & Lou, Chengzhi & Zhou, Zhihua & Zhang, Ji & Wang, Chendong & Zuo, Jian, 2019. "Research on the configuration and operation effect of the hybrid solar-wind-battery power generation system based on NSGA-II," Energy, Elsevier, vol. 189(C).
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    9. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    10. 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.
    11. 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.
    12. 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.
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