Single-objective optimization for stack unit of standing wave thermoacoustic refrigerator through fruit fly optimization algorithm

作     者：Rahman, Anas A. Zhang, Xiaoqing 

作者机构：Huazhong Univ Sci & Technol Sch Energy & Power Engn Dept Refrigerat & Cryogen Wuhan 430074 Hubei Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID》 (国际制冷杂志)

年 卷 期：2019年第98卷

页      面：35-41页

核心收录：

学科分类：080705[工学-制冷及低温工程] 08[工学] 0807[工学-动力工程及工程热物理] 0802[工学-机械工程] 

基　　金：National Natural Science Foundation of China (NSFC) 

主　　题：Standing wave thermoacoustic refrigerator Fruit fly optimization algorithm Stack unit Coefficient of performance Cooling power 

摘      要：Thermoacoustic refrigeration is considered as a potential alternative refrigeration technology with environmentally-friendly working substance, no or few moving parts, high reliability as well as utilization of low grade energy. Optimization for thermoacoustic systems or their key components has become a crucial task to make their performances competitive over conventional vapor-compression ones. In this study, fruit fly optimization algorithm (FOA) as an intelligent method is introduced to separately maximize coefficient of performance of stack unit and cooling power produced for one standing wave thermoacoustic refrigerator, as single objective functions under optimized stack length, stack center position, blockage ratio and drive ratio. FOA had shown better optimal results, compared to published literature results. Compared to results of genetic algorithm, COP had been enhanced by 15.8%. Moreover, cooling power was first discussed as another important objective to optimize. Studied results demonstrated that FOA is an effective approach for design optimization of thermoacoustic refrigerators. (C) 2018 Elsevier Ltd and IIR. All rights reserved.