摘要
基于前人建立的恒温热源内可逆Braysson循环模型,以换热器热导率分配和工质对数温比为优化变量,引入功率、效率、生态学函数和功率密度,应用NSGA-Ⅱ算法对不同目标函数组合完成了多目标优化。分析了最佳热导率分配和最佳工质对数温比与四目标优化时各个目标的关系。通过比较不同优化目标组合时LINMAP、TOPSIS和香农熵3种决策方式的偏差指数,从而得到最佳方案。结果表明,四目标优化时,TOPSIS决策方式所得偏差指数为0.2040,且为最小,故相比于单、二和三目标优化,四目标优化方案最佳。
Based on the endoreversible closed Braysson cycle model with constant temperature heat reservoirs established in previous literature,the heat conductance distribution of heat exchangers and logarithmic temperature ratio of working fluid were taken as optimization variables,and the cycle dimensionless power,thermal efficiency,dimensionless power density and dimensionless ecological function were taken as optimization objectives,thus the multi-objective optimizations were performed adopting elite non-dominated sorting genetic algorithm(NSGA-Ⅱ).The relationships among the optimal heat conductance distribution and the optimal logarithmic temperature ratio of working fluid and each objectives in quadra-objective optimization were analyzed.In the cases of different optimization objective combinations,the most ideal design plan was obtained by comparing the deviation indexes of three decision-making methods of LINMAP,TOPSIS and Shannon Entropy.The results show that with quadra-objective optimization,the deviation index of TOPSIS method was 0.2040,which was the smallest,so compared with the single-,bi-and tri–objective optimization,the quadra-objective optimization is the best.
作者
刘旭
戈延林
陈林根
邱幸付
何金虎
LIU Xu;GE Yanlin;CHEN Lingen;QIU Xingfu;HE Jinhu(Institute of Thermal Science and Power Engineering,Wuhan Institute of Technology,Wuhan 430205,China;School of Mechanical&Electrical Engineering,Wuhan Institute of Technology,Wuhan 430205,China;Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment,Wuhan 430205,China)
出处
《热力透平》
2022年第3期191-197,224,共8页
Thermal Turbine
基金
国家自然科学基金(51779262)。
