新型制冷剂混合料的性能研究

2011 Fourth International Conference on Modeling, Simulation and Applied Optimization Pub Date : 2011-04-19 DOI:10.1109/ICMSAO.2011.5775612

E. Khorshid, B. Alshriaan, A. Alsairafi, A. Alazemi, A. Alhaddad

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引用次数: 4

摘要

本研究对使用不同碳氢化合物和氢氟烃制冷剂混合物作为制冷剂的蒸汽压缩制冷系统的性能进行了理论研究。采用遗传算法求解最佳混合料选择的非线性约束优化问题。对新型碳氢化合物和氢氟烃混合制冷剂的性能与R-134a的性能进行了比较。与目前使用的R134a共混物相比，新共混物的性能系数提高了11.9%。

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Performance investigation on new refrigerant mixture

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.

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2011 Fourth International Conference on Modeling, Simulation and Applied Optimization

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