Optimization of heat pump using fuzzy logic and genetic algorithm

Articles > Article · 2011

Authors: Arzu Sencan Sahin, Bayram Kilic, Ulaş KILIÇ

HEAT AND MASS TRANSFER, Journal Indexed in SCI Expanded, International, 2011, vol 47, pp 1553-1560

DOI: 10.1007/s00231-011-0818-4

Summary

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.

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