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Optimization of heat pump using fuzzy logic and genetic algorithm

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dc.creator Kilic, Ulas
dc.creator KILIÇ, BAYRAM
dc.creator Sahin, Arzu Sencan
dc.date 2011-12-01T01:00:00Z
dc.date.accessioned 2021-12-03T11:54:11Z
dc.date.available 2021-12-03T11:54:11Z
dc.identifier b8b850b7-151d-4b44-a783-e771f4f47665
dc.identifier 10.1007/s00231-011-0818-4
dc.identifier https://avesis.sdu.edu.tr/publication/details/b8b850b7-151d-4b44-a783-e771f4f47665/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/94499
dc.description Heat pumps offer economical alternatives of recovering heat from different sources for use in various industrial, commercial and residential applications. In this study, single-stage air-source vapor compression heat pump system has been optimized using genetic algorithm (GA) and fuzzy logic (FL). The necessary thermodynamic properties for optimization were calculated by FL. Thermodynamic properties obtained with FL were compared with actual results. Then, the optimum working conditions of heat pump system were determined by the GA.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Optimization of heat pump using fuzzy logic and genetic algorithm
dc.type info:eu-repo/semantics/article


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