斯特林制冷机的热经济性分析及多目标优化研究  

Thermoeconomic Analysis and Multi-objective Optimization Study of Stirling Refrigerator

作　　者：徐磊 喻敏杰 刘志春[1] 刘伟[1] XU Lei;YU Minjie;LIU Zhichun;LIU Wei(School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)

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》2025年第2期610-619,共10页Journal of Engineering Thermophysics

基　　金：国家自然科学基金重点项目(No.51736004)。

摘　　要：本文运用有限时间热力学方法构建了一种斯特林制冷机的多变模型,并开展了热经济性分析和多目标优化研究。该模型主要假设了工质的膨胀与压缩过程为多变过程,考虑了工质与外界热源间的有限速率传热、系统的漏热损失及回热器的回热损失。基于该模型,研究了温度比和传热系数等参数对斯特林制冷机热经济性能的影响。以输入功率、制冷率和热经济学函数为目标函数,采用基于分解的多目标进化算法优化了斯特林制冷机的性能,并通过与多目标遗传算法和多目标粒子群算法计算结果的比较验证了该优化方法的准确性,最后选用TOPSIS决策方法在三维帕累托前沿上得到了最优解。In this paper,a polytropic model of Stirling refrigerator is constructed by using the finite-time thermodynamic method,and thermo-economic analysis and multi-objective optimization studies are carried out.The model mainly assumes that the expansion and compression processes of working fluid are polytropic processes,and considers the finite-rate heat transfer between the working fluid and external heat source,the leakage heat loss of the system,and the heat loss of regenerative processes.Based on this model,the effects of parameters such as temperature ratio and heat transfer coefficient on the thermoeconomic performance of Stirling refrigerator were investigated.With the input power,cooling rate and thermoeconomic function as objective functions,the performance of Stirling refrigerator is optimized using a multi-objective evolutionary algorithm based on decomposition,and the accuracy of the optimization method is verified by comparing the calculation results with those of the multi-objective genetic algorithm and the multi-objective particle swarm algorithm,and finally the optimal solution is obtained by TOPSIS on three-dimensional Pareto front.

关 键 词：斯特林制冷机 多变过程 有限时间热力学 热经济学函数 多目标优化 

分 类 号：TK123[动力工程及工程热物理—工程热物理]