化学工程2025，Vol.53Issue(2)：26-32,50,8.DOI:10.3969/j.issn.1005-9954.2025.02.005
一种比拟与进化协同的质能网络比拟优化方法
Comparative optimization method of mass-heat network based on analogy and evolution collaboration
摘要
Abstract
Mass-heat analogy optimization method is a new synthesis method of mass exchanger network,which analogizes mass exchanger network to generalized heat exchanger network with larger variable scale,and effectively improves the diversity of structure matching and global optimization performance.However,the variable scale(solution domain)and optimization path of the generalized heat exchanger network are determined by the mass-heat analogy scale and the algorithm evolution parameters respectively,so the optimization performance of the method is limited by the adaptation of the generalized heat exchanger network evolution parameters and the mass-heat analogy scale.Therefore,a mass-heat analogy optimization method was proposed,which was synergistic with evolution.Firstly,the effects of mass-heat analogy scale on continuous variables and integer variables were analyzed.On this basis,a collaborative parameter evolution strategy of mass-heat analogy scale and random walk algorithm with compulsive evolution algorithms was established to ensure its effectiveness in improving the diversity of mass exchanger network structure and global optimization quality.Finally,the proposed method was applied to R5S3(example of air ammonia removal),and the total annual cost of MEN(mass exchanger network)structure was 126 122 $/a,which was 1.32％lower than that of the optimal literature network structure,proving the effectiveness of the strategy.关键词
质能比拟/质量交换网络/质能比拟比例尺/优化Key words
mass-heat analogy/mass exchanger network/mass-heat analogy scale/optimize分类
化学化工引用本文复制引用
陈怡,肖媛,崔国民..一种比拟与进化协同的质能网络比拟优化方法[J].化学工程,2025,53(2):26-32,50,8.基金项目
国家自然科学基金资助项目(21978171) （21978171）
