Optimization of heat exchanger network by structure-fusion strategy

HAN Zhengheng; CUI Guomin; XIAO Yuan

doi:10.11949/0438-1157.20190531

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Optimization of heat exchanger network by structure-fusion strategy

Process system engineering | 更新时间：2026-07-24

- Optimization of heat exchanger network by structure-fusion strategy
- CIESC Journal Vol. 70, Issue 12, Pages: 4730-4740(2019)
- 作者机构：
  
  上海理工大学新能源科学与工程研究所，上海 200093
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20190531
  CLC： TK 124
- Received：19 May 2019，
  
  Revised：2019-08-08，
  
  Online First：09 June 2020，
  
  Published：05 December 2019
- 稿件说明：
移动端阅览
韩正恒, 崔国民, 肖媛. 采用结构融合策略优化换热网络[J]. 化工学报, 2019, 70(12): 4730-4740

HAN Zhengheng, CUI Guomin, XIAO Yuan. Optimization of heat exchanger network by structure-fusion strategy[J]. CIESC Journal, 2019, 70(12): 4730-4740
韩正恒, 崔国民, 肖媛. 采用结构融合策略优化换热网络[J]. 化工学报, 2019, 70(12): 4730-4740 DOI： 10.11949/0438-1157.20190531.

HAN Zhengheng, CUI Guomin, XIAO Yuan. Optimization of heat exchanger network by structure-fusion strategy[J]. CIESC Journal, 2019, 70(12): 4730-4740 DOI： 10.11949/0438-1157.20190531.

摘要

利用强制进化随机游走算法优化换热网络至后期时，个体网络结构基本定型，很难再被破坏或改变，潜在进化能力难以发挥作用，无法求解出更优结构。基于此，探究个体进化过程中的结构变化特性，分析后期结构优化的重心所在，提出结构融合策略，将两个个体结构融合到一起，形成新个体，放大原个体结构进化潜力。对新个体进行优化，其结构中所有换热单元互相竞争，引导结构进化潜力发挥作用，保留有益于结构进化的换热单元，淘汰阻碍结构进化的换热单元，生成部分新换热单元，促进个体进化形成更优换热网络结构。最后应用两个算例验证该策略的有效性，取得了可观的优化效果。

Abstract

The individual heat exchanger network structure is basically stereotyped when it is optimized by random walk algorithm with compulsive evolution (RWCE) to a certain stage

and it is difficult to destroy or change the heat balance in the certain local optimal structure and search for better solutions. Therefore

this paper explores the characteristics of structural changes in the evolution of individuals and analyzes the keys to structural evolution. It is found that heat exchange unit has great effects on the structural evolution. Therefore

the structure-fusion strategy is proposed to organize the heat exchange units of two individuals into one structure

which could expand the evolution potentiality of individual network structure. The new individual structure is optimized by RWCE to form better configuration

through the process that all heat exchange units compete with each other and the structural evolution potentiality work at full capacity. Finally

two examples are applied to verify the effectiveness of the strategy and achieve considerable optimization results.

关键词

Keywords

references

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