Optimization of heat pump using fuzzy logic and genetic algorithm
Heat and Mass Transfer/Waerme- und Stoffuebertragung, cilt.47, sa.12, ss.1553-1560, 2011 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 47 Sayı: 12
- Basım Tarihi: 2011
- Doi Numarası: 10.1007/s00231-011-0818-4
- Dergi Adı: Heat and Mass Transfer/Waerme- und Stoffuebertragung
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1553-1560
- Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır
Özet
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. © 2011 Springer-Verlag.