化工进展 ›› 2024, Vol. 43 ›› Issue (6): 2986-2995.DOI: 10.16085/j.issn.1000-6613.2023-0880

• 化工过程与装备 • 上一篇    

有分流棋盘模型应用于不相容多组分质量交换网络优化

易智康(), 刘思琪, 崔国民(), 段欢欢, 肖媛   

  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
  • 收稿日期:2023-05-29 修回日期:2023-08-17 出版日期:2024-06-15 发布日期:2024-07-02
  • 通讯作者: 崔国民
  • 作者简介:易智康(1996—),男,硕士研究生,研究方向为传热传质及过程系统优化。E-mail:1164866168@qq.com
  • 基金资助:
    国家自然科学基金(21978171);中国博士后科学基金(2020T13043)

A chessboard model for incompatible multi-component mass exchange network optimization

YI Zhikang(), LIU Siqi, CUI Guomin(), DUAN Huanhuan, XIAO Yuan   

  1. Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2023-05-29 Revised:2023-08-17 Online:2024-06-15 Published:2024-07-02
  • Contact: CUI Guomin

摘要:

不相容多组分质量交换网络是质量交换网络综合中的难题之一。传统的分级超结构模型在模拟不相容多组分质量交换网络时,需要进行迭代计算,这使得优化过程变得复杂,并且难以兼顾计算效率。因此,本文提出将有分流棋盘模型用于优化不相容多组分质量交换网络问题,并采用基于种群识别策略的强制进化随机游走(RWCE)算法进行求解。有分流棋盘模型简化了模拟时的计算复杂度,且种群识别策略能够解决种群中个体“团聚”现象,从而全面提升了搜索全局最优解的计算效率。焦炉气脱硫算例的验证结果显示:有分流棋盘模型和基于种群识别策略的RWCE算法能够高效地解决不相容多组分质量交换网络问题,并且在优化平均时长和年综合费用方面取得了更为显著的成果。

关键词: 过程系统, 模型, 质量交换网络, 算法, 种群识别策略

Abstract:

The incompatible multi-component mass exchange network is one of the difficult problems in mass exchange network synthesis. When simulating incompatible multi-component mass exchange networks, the traditional stage-wise superstructure model requires iterative calculation, resulting in complex optimization processes and compromised computational efficiency. To solve these problem, the chessboard model is applied to the incompatible multi-component mass exchange network, and the random walking algorithm with compulsive evolution (RWCE) based on population identification strategy is employed. The chessboard model simplifies the computational complexity of the simulation, and the population identification strategy solves the "agglomeration" phenomenon of individuals in the population. This approach comprehensively improves the computational efficiency of searching for the global optimal solution. A published example for the coke oven gas sweetening problem shows that the chessboard model and the RWCE based on population identification strategy can efficiently handle incompatible multi-component mass exchange networks, achieving faster average optimization time and minimizing the total annual cost.

Key words: process systems, model, mass exchange network, algorithm, population identification strategy

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