基于遗传算法三级自动复叠制冷系统建模分析和优化  

Modeling Analysis and Optimization of Three-Level Automatic Cascade Refrigeration System based on Genetic Algorithm

作　　者：胡姣姣 张华[1] 杨易坤 柏霄翔 HU Jiao-jiao;ZHANG Hua;YANG Yi-kun;BAI Xiao-xiang(Institute of Refrigeration and Cryogenics,University of Shanghai for Science and Technology,Shanghai,China,200093)

机构地区：[1]上海理工大学制冷与低温工程研究所,上海200093

出　　处：《热能动力工程》2020年第3期27-36,共10页Journal of Engineering for Thermal Energy and Power

摘　　要：为了优化混合工质配比,提高系统性能,采用Aspen Plus来模拟自动复叠制冷系统,将遗传算法与混合工质的配比选取结合,以系统热力学完善度最高为目标函数进行优化,得出了不同蒸发器出口温度、冷凝器出口温度、压缩机压比时系统性能最优时混合工质的质量配比,为实际自动复叠制冷系统设计和制冷剂充注提供了理论数据。将一组三级自动复叠制冷系统的实验值与模拟值进行对比,发现模拟值与实验值的误差多数都在10%以内。In order to optimize the mixing ratio and improve the performance of the system,Aspen Plus is used to simulate the automatic cascade refrigeration system,the genetic algorithm is combined with the selection of the mixing ratio for the working medium,and the system thermodynamics is optimized with the highest objective degree.The mass ratio of mixed refrigerants with different evaporator outlet temperature,condenser outlet temperature and compressor pressure ratio is obtained,which provides theoretical data for the actual automatic cascade refrigeration system design and refrigerant charging.The comparison of the experimental values of a set of three-stage automatic cascade refrigeration system and the simulation results,shows that the error between the simulation and the experimental results is mostly within 10%.

关 键 词：自动复叠系统 非共沸混合工质 遗传算法 Aspen Plus 优化 

分 类 号：TB657[一般工业技术—制冷工程]