化工学报 ›› 2019, Vol. 70 ›› Issue (12): 4730-4740.DOI: 10.11949/0438-1157.20190531

• 过程系统工程 • 上一篇    下一篇

采用结构融合策略优化换热网络

韩正恒(),崔国民(),肖媛   

  1. 上海理工大学新能源科学与工程研究所,上海 200093
  • 收稿日期:2019-05-19 修回日期:2019-08-08 出版日期:2019-12-05 发布日期:2019-12-05
  • 通讯作者: 崔国民
  • 作者简介:韩正恒(1995—),男,硕士研究生,hzhmail@foxmail.com
  • 基金资助:
    国家自然科学基金项目(51176125);上海市科委部分地方院校能力建设计划(16060502600)

Optimization of heat exchanger network by structure-fusion strategy

Zhengheng HAN(),Guomin CUI(),Yuan XIAO   

  1. Institute of New Energy Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2019-05-19 Revised:2019-08-08 Online:2019-12-05 Published:2019-12-05
  • Contact: Guomin CUI

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。

关键词: 算法, 换热网络, 计算机模拟, 优化设计, 结构融合, 个体进化

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.

Key words: algorithm, heat exchanger network, computer simulation, optimal design, structure-fusion, individual evolution

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