换热网络中温度交叉结构的分析与处理

doi:10.19596/j.cnki.1001-246x.7993

计算物理 ›› 2020, Vol. 37 ›› Issue (1): 107-118.DOI: 10.19596/j.cnki.1001-246x.7993

换热网络中温度交叉结构的分析与处理

苏戈曼, 崔国民, 鲍中凯, 肖媛, 岑镇宇

上海理工大学新能源科学与工程研究所, 上海 200093

收稿日期:2018-10-29 修回日期:2018-12-19 出版日期:2020-01-25 发布日期:2020-01-25
作者简介:苏戈曼(1995-),女,硕士研究生,主要从事过程系统优化研究,E-mail:sugeman1995@163.com
基金资助:
国家自然科学基金（51176125）及上海市科委部分地方院校能力建设计划（16060502600）资助项目

Analysis and Treatment on Structures with Temperature Cross in Heat Exchanger Network

SU Geman, CUI Guomin, BAO Zhongkai, XIAO Yuan, CEN Zhenyu

Institute of New Energy Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2018-10-29 Revised:2018-12-19 Online:2020-01-25 Published:2020-01-25

摘要/Abstract

摘要： 在以换热量作为待优化连续变量的换热网络优化问题中，流股匹配可能出现温度交叉，常以惩罚函数法处理存在温度交叉的不可行结构.然而，当采用强制进化随机游走算法时，由于其接受差解的变异操作，温度交叉结构可能以差解的形式被接受，对优化进程产生负面影响而降低优化效率.因此，首先分析换热网络中温度交叉结构的成因，接着分析该不可行结构对算法优化进程的消极作用，然后提出一种处理方法，当种群中个体随机游走到不可行域时，强制使其回到可行域内的原位重新优化，从而提升算法优化效率.

关键词: 换热网络, 不可行解, 强制进化随机游走算法, 优化效率, 温度交叉

Abstract: As heat exchange loads are treated as continuous variables to be optimized in heat exchanger network (HEN) problems, temperature cross could be generated in stream matches. Infeasible structures with temperature cross are penalized by penalty function method in literature. However, in random walk algorithm with compulsive evolution (RWCE) algorithm to HEN optimization, structures with temperature cross may be accepted as imperfect solutions due to its mutation operation of accepting imperfect solutions, which may negatively affect optimization process and decrease algorithm efficiency. Hence, temperature cross in HEN is firstly explained. Then negative effects of infeasible structures on optimization process of RWCE is described. A treatment method is proposed: Individuals trapped in infeasible regions are compulsively returned to their original positions in feasible regions to accept re-optimization. It was demonstrated that the proposed method improves algorithm efficiency and achieves better results than reported ones in literature.

Key words: heat exchanger network, infeasible solutions, random walk algorithm with compulsive evolution, optimization efficiency, temperature crossing

中图分类号:

TK124

苏戈曼, 崔国民, 鲍中凯, 肖媛, 岑镇宇. 换热网络中温度交叉结构的分析与处理[J]. 计算物理, 2020, 37(1): 107-118.

SU Geman, CUI Guomin, BAO Zhongkai, XIAO Yuan, CEN Zhenyu. Analysis and Treatment on Structures with Temperature Cross in Heat Exchanger Network[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 37(1): 107-118.

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换热网络中温度交叉结构的分析与处理

Analysis and Treatment on Structures with Temperature Cross in Heat Exchanger Network

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