基于公用工程内置策略的换热网络优化  

Heat Exchanger Network Optimization Based on Inner Utility Placement Strategy

作　　者：鲍中凯 崔国民[1] 曹冲 任杰[1] 李梦红 BAO Zhongkai;CUI Guomin;CAO Chong;REN Jie;LI Menghong(Institute of New Energy Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学新能源科学与工程研究所

出　　处：《计算物理》2019年第6期707-718,共12页Chinese Journal of Computational Physics

基　　金：上海市科委部分地方院校能力建设计划(16060502600);国家自然科学基金(51176125)资助项目

摘　　要：传统换热网络分级超结构模型(SWS)只允许公用工程布置在流股末端,限制了网络结构的灵活发展.提出一种公用工程内置策略,允许公用工程布置在结构内部的各流股分支上.采用具有结构保护策略的强制进化随机游走算法(SP-RWCE).并提出一种伪最优解生成策略,通过扩大长期未更新个体的年综合费用,促使有潜力的伪最优解产生并接受保护和开发.三个基准算例的优化结果均优于文献最优解,且均包含内部公用工程.表明改进SWS相比原SWS模型扩大了求解空间,改进SP-RWCE具有更强的搜索能力,验证了布置内部公用工程能有效减少换热面积.Traditional stage-wised superstructure(SWS)of heat exchanger network allowes that utilities are placed at ends of process streams,which restricts flexible development of network structures.Hence,a novel inner utility placement strategy is proposed,in which utilities could be placed at each stream branch in intermediate stages.An improved random walk algorithm with compulsive evolution with structure-protection strategy(SP-RWCE)is employed,in which a pseudo optimum generation strategy is presented to modify SP-RWCE,where pseudo optimums with evolution potentialities could be promoted and generated to accept protection and exploitation by expanding optimal total annual cost of individuals in long-term evolution stagnation.Optimization results of three benchmark cases are superior to reported values,all of them include inner utilities.It indicates that the modified SWS enlarges solution space,the improved SP-RWCE has stronger search ability,and the placement of inner utility could effectively reduce heat exchange areas.

关 键 词：换热网络 优化 分级超结构模型 内部公用工程 强制进化随机游走算法 

分 类 号：TK124[动力工程及工程热物理—工程热物理]