Title :
Performance investigation on new refrigerant mixture
Author :
Khorshid, E. ; Alshriaan, B. ; Alsairafi, A. ; Alazemi, A. ; Alhaddad, A.
Author_Institution :
Mech. Eng. Dept., Kuwait Univ., Safat, Kuwait
Abstract :
This research presents a theoretical investigation on the performance of a vapour compression refrigerating system using different mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants as a refrigerant. Genetic Algorithm method was used to solve a nonlinear constrained optimization problem for the selection of the best blend. The performance of new mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants is compared with the performance of R-134a. The optimal solution of the new blend is has an improvement of 11.9% in the coefficient of performance over the currently used blend of R134a.
Keywords :
blending; genetic algorithms; mixtures; refrigerants; genetic algorithm method; hydrocarbon-hydrofluorocarbon refrigerant mixtures; nonlinear constrained optimization problem; performance coefficient; performance investigation; vapour compression refrigerating system; Genetic algorithms; Global warming; Hybrid fiber coaxial cables; Hydrocarbons; Optimization; Refrigerants; Refrigerators; Air Conditioning; Genetic Algorithm; Global Optimization; New Refrigerant Mixtures;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0003-3
DOI :
10.1109/ICMSAO.2011.5775612
