线性唯象传热定律下斯特林机多目标优化  

Multi-objective Optimization of Stirling Machine Under Linear Phenomenological Heat Transfer Law

作　　者：戴东东 袁芳[1] 刘伟[1] DAI Dong-Dong YUAN Fang LIU Wei(School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, Chin)

机构地区：[1]华中科技大学能源学院,武汉430074

出　　处：《工程热物理学报》2017年第10期2229-2234,共6页Journal of Engineering Thermophysics

基　　金：国家重点基础研究发展计划(No.2013CB228302)

摘　　要：本文对斯特林发动机进行了有限时间热力学分析,在线性唯象传热定律的基础上,考虑了热源与工质换热的有限性、回热不完全性以及冷热源间存在的热漏等不可逆因素,继而得到了该模型的效率、功率以及生态学性能函数。考虑到三个优化指标不可能同时达到各自的最优值,故采用多目标遗传算法对其进行三目标同时优化,并用TOPSIS法进行决策并将最终的结果与单目标优化进行了对比。This paper presents an investigation of a finite time thermodynamic analysis of a Stirling engine model based on the linear phenomenological heat transfer law. Some irreversibilities such as heat resistance, imperfect regeneration and heat leak between heat reserviors are considered. As a result,the thermal efficiency, output power and ecological coefficient of performance of this model are carried out. Considering that the three optimization indexes can not reach the optimal value at the same time, the multi-objective genetic algorithm is used to optimize the three targets simultaneously. The optimal solution is then selected by TOPSIS and compared with that of single-objective optimization.

关 键 词：斯特林 线性唯象传热定律 生态学性能 多目标优化 

分 类 号：TK123[动力工程及工程热物理—工程热物理]