Dynamical modeling and thermo-economic optimization of a cold room assisted vapor-compression refrigeration cycle
Rattachement africain : ir. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
A cold room assisted vapor-compression refrigeration cycle is dynamically modeled in a year and optimized. Total annual cost (TACO) and coefficient of performance (COP) are selected as two objective functions. Both cold room and refrigeration cycle parameters are considered as design variables. Moreover, three working fluids included R22, R134a and R407c are examined. The optimum Pareto front reveals that unlike the thermal system such as heat exchanger and power plant, the objective functions are not conflicted in the optimum situation. The optimum solutions show that R407c is the best refrigerant in both thermodynamics and economics viewpoints with 9148.2 $/year as total annual cost and 6.12 for COP. The optimum result of R407c showed that the total annual cost improved by 50.74% and 8.68% in comparison with R134a and R22, respectively. Furthermore, COP improved 9.97% and 13.72% in R407c compared with R134a and R22, respectively.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
Où se fait cette recherche
-
Vali Asr University of Rafsanjan pays non établi dans la noticeUniversité ou école supérieure
-
Vali-e-Asr University of Rafsanjan Department of Mechanical Engineering pays non établi dans la noticeUniversité ou école supérieure
Vali Asr University of Rafsanjan et Department of Mechanical Engineering — Vali-e-Asr University of Rafsanjan.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.