Thermally regenerative electrochemical refrigerators decision-making process and multi-objective optimization

[Display omitted] •A Thermally regenerative electrochemical refrigerator is modeled by Python software.•Sensitivity analysis was performed to investigate the effect of key parameters on the system performance.•Four temperature ranges were defined for the system and its thermodynamics was examined in...

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Vydané v:	Energy conversion and management Ročník 252; s. 115060
Hlavní autori:	Kamali, Hamed, Mehrpooya, Mehdi, Mousavi, Seyed Hamed, Ganjali, Mohammad Reza
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 15.01.2022 Elsevier Science Ltd
Predmet:	Algorithms Coefficient of performance cold computer software Cooling Cooling capacity Decision making Electrochemistry energy conversion Genetic algorithms Heat exchangers Materials selection Multi-Criteria decision-making Multi-objective genetic algorithm Multiple objective analysis Optimization Performance analysis Python Refrigerators Sensitivity analysis Specific heat temperature Thermally regenerative electrochemical refrigerator Multi-objective genetic algorithm Multi-Criteria decision-making Thermally regenerative electrochemical refrigerator Cooling capacity Performance analysis Coefficient of performance
ISSN:	0196-8904, 1879-2227
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