Multi-objective optimization of an irreversible Stirling cryogenic refrigerator cycle

•A parametric investigation of irreversible Stirling cryogenic refrigerator cycles is presented.•Both internal and external irreversibilities are included in this study, moreover, heat capacities of external reservoirs are involved.•Multi-objective evolutionary algorithm based on NSGA-II approach is...

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Veröffentlicht in:	Energy conversion and management 2014-06, Vol.82, p.351-360
Hauptverfasser:	Ahmadi, Mohammad H., Ahmadi, Mohammad Ali, Mohammadi, Amir H., Feidt, Michel, Pourkiaei, Seyed Mohsen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Capacitance Cooling loads Decision making Energy Energy. Thermal use of fuels Engineering Sciences Evolutionary algorithms Exact sciences and technology Fuzzy Heat exchangers Input power Multi-objective optimization Optimization Optimum performance Refrigerating engineering Refrigerating engineering. Cryogenics. Food conservation Refrigerators Stirling cryogenic refrigeration cycles Techniques. Materials
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