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Heat and Mass Transfer

, 47:1553 | Cite as

Optimization of heat pump using fuzzy logic and genetic algorithm

  • Arzu Şencan ŞahinEmail author
  • Bayram Kılıç
  • Ulaş Kılıç
Original

Abstract

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.

Keywords

Heat Pump Heat Pump System Optimum Design Parameter Average Absolute Relative Error Optimum Working Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Arzu Şencan Şahin
    • 1
    Email author
  • Bayram Kılıç
    • 2
  • Ulaş Kılıç
    • 2
  1. 1.Technology FacultySüleyman Demirel UniversityIspartaTurkey
  2. 2.Bucak Emin Gülmez Vocational School, Mehmet Akif Ersoy UniversityBucakTurkey

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