Using a multiple response optimization approach to optimize the coefficient of performance

被引：8

作者：

Costa, Nuno ^{[1
,2
]}

Garcia, Joao ^{[1
]}

机构：

[1] Setubal Coll Technol, Campus IPS, P-2910761 Estefanilha, Setubal, Portugal

[2] Univ Nova Lisboa, Fac Ciencias & Tecnol, Dept Engn Mecan & Ind, UNIDEMI, P-2829516 Caparica, Portugal

来源：

APPLIED THERMAL ENGINEERING | 2016年 / 96卷

关键词：

Efficiency; Evaporator; Condenser; Compressor Multi-response; Modeling; Optimization; Refrigeration; Refrigerant; RSM; MULTIOBJECTIVE OPTIMIZATION; DESIGN; SYSTEM; REFRIGERANTS;

D O I：

10.1016/j.applthermaleng.2015.11.080

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Response surface methodology was employed to optimize the efficiency of a refrigeration cycle demonstration unit using a multiresponse optimization approach. Statistically designed experiments were conducted to simultaneously minimize energy consumption and maximize the refrigeration effect of a compression refrigeration cycle. Regression models were fitted to refrigeration and electrical powers and optimal variable settings were identified using an easy-to-use optimization criterion. Results give confidence to apply the illustrated approach in academic and industrial settings, namely for optimizing equipment operation. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：137 / 143

页数：7

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