计算物理 ›› 2024, Vol. 41 ›› Issue (4): 535-546.DOI: 10.19596/j.cnki.1001-246x.8733

•   • 上一篇    

质量交换网络传质负荷不可行处理及动态调控策略

熊思恒1(), 段欢欢2, 崔国民1,*(), 肖媛1, 易智康1   

  1. 1. 上海理工大学能源与动力工程学院, 上海市动力工程多相流动与传热重点实验室, 上海 200093
    2. 河南牧业经济学院能源与智能工程学院, 河南 郑州 450000
  • 收稿日期:2023-03-21 出版日期:2024-07-25 发布日期:2024-08-24
  • 通讯作者: 崔国民
  • 作者简介:熊思恒(1998-),男,硕士研究生,E-mail:q.xiongsh@qq.com
  • 基金资助:
    国家自然科学基金(21978171);国家自然科学基金(51976126);中国博士后科学基金(2020M671171)

Mass Exchange Network Mass Transfer Load Infeasibility Treatment and Dynamic Regulation Strategy

Siheng XIONG1(), Huanhuan DUAN2, Guomin CUI1,*(), Yuan XIAO1, Zhikang YI1   

  1. 1. School of Energy and Power Engineering, University of Shanghai for Science and Technology; Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093, China
    2. School of Energy and Intelligence Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450000, China
  • Received:2023-03-21 Online:2024-07-25 Published:2024-08-24
  • Contact: Guomin CUI

摘要:

本文分析了惩罚函数法处理传质约束对质量交换网络优化带来的消极影响,提出一种传质负荷动态调控策略,采用不同的调控方式处理单元传质约束,即衰减违反传质约束单元的传质负荷或消除单元,以保证结构中的传质单元不违反约束。通过两个质量交换网络算例进行验证,所得结果相比文献最优结果分别下降2 943 $·a-1和1 697 $·a-1,且结构中传质单元数量增加,证明了策略的有效性。

关键词: 质量交换网络, 过程系统集成, 强制进化随机游走算法, 不可行解

Abstract:

In the optimization of mass exchange networks with mass transfer load as the optimization variable, using the penalty function method to deal with infeasible solutions that violate the feasible constraints on mass transfer will limit the generation of mass transfer units, and at the same time bring negative effects on the optimization algorithm's optimization path. In view of this, the negative impact of the penalty function method to deal with mass transfer constraints on optimization is analyzed, based on which a dynamic regulation strategy of mass transfer load is proposed to deal with the units mass transfer constraints by using different regulation methods, attenuating the mass transfer load of the units that violate the mass transfer constraints or eliminating the unit to ensure that the mass transfer units in the structure not violate the constraints. The validation is carried out by two mass exchange network arithmetic examples, and the obtained results demonstrate the effectiveness of the strategy by decreasing 2 943 $·a-1 and 1 697 $·a-1, respectively, compared with the optimal results in the literature, and increasing the number of mass transfer units in the structure.

Key words: mass exchange network, process integration, random walk algorithm with compulsive evolution, infeasible solutions

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