Chemical Industry and Engineering Progress ›› 2025, Vol. 44 ›› Issue (2): 635-645.DOI: 10.16085/j.issn.1000-6613.2024-0144

• Chemical processes and equipment • Previous Articles     Next Articles

Novel continuous non-structural model for mass exchanger network synthesis

XIONG Siheng(), HUANG Dongmei, XIAO Yuan, HUANG Xiaohuang, YI Zhikang, CUI Guomin()   

  1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2024-01-17 Revised:2024-03-12 Online:2025-03-10 Published:2025-02-25
  • Contact: CUI Guomin

一种新的连续非结构模型同步优化质量交换网络

熊思恒(), 黄冬梅, 肖媛, 黄晓璜, 易智康, 崔国民()   

  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
  • 通讯作者: 崔国民
  • 作者简介:熊思恒(1998—),男,硕士研究生,研究方向为过程系统优化。E-mail:q.xiongsh@qq.com
  • 基金资助:
    国家自然科学基金(21978171);中国博士后科学基金(2020M671171)

Abstract:

The development of mass exchange networks is a pivotal strategy for minimizing pollutant emissions and reducing economic costs in chemical processes. This study introduced a novel optimization model based on Mixed Integer Nonlinear Programming (MINLP), facilitating the synchronous optimization of mass exchange networks. The model incorporated a continuous non-structured model (NSM), which allowed for the integration of split-stream mixing of unequal concentrations and the consideration of stream stock regeneration. The NSM was characterized by its absence of predetermined structural parameters and fixed matching patterns, using continuous real number intervals to delineate different stream stocks and randomly generating specific real numbers to represent the positions of mass transfer units in these streams. This approach endowed the mass exchange network with remarkable randomness and flexibility, significantly broadening the search domain for optimal solutions. Building on this, the random walk algorithm with compulsive evolution (RWCE) algorithm was employed to simultaneously optimize both integer and continuous variables within the NSM. This algorithm was distinguished by the independent evolution of individual variables. The effectiveness of this model and algorithm was validated through three case studies, which demonstrated that the NSM combined with heuristic algorithms can achieve better results than the current best reported in literature, flexibly representing complex mass exchange network structures and confirming the method’s efficacy.

Key words: mass exchange network, continuous non-structured model, process system, optimization, algorithm

摘要:

质量交换网络是减少化工过程中污染物排放和降低经济成本的有效手段,其集成优化具有重要意义。本文提出了一种新的基于混合整数非线性规划(MINLP)的同步优化模型,允许分流非等浓度混合与考虑流股再生的连续非结构模型(NSM)。连续非结构模型预先不设置结构化参数,没有固定的匹配模式,使用连续的实数区间划分不同的流股,随机生成具体的实数代表传质单元在流股上的位置。连续非结构模型在形成质量交换网络结构方面非常随机与灵活,具有极广的搜索域。在此基础上,使用强制进化随机游走算法(RWCE)同时优化连续非结构模型中的整形变量与连续变量,该算法具有个体间独立进化的特点。最后通过三个算例进行验证,结果表明:连续非结构模型结合启发算法可以得到低于目前文献最优的结果,能够灵活地表达复杂的质量交换网络结构,验证了方法的有效性。

关键词: 质量交换网络, 连续非结构模型, 过程系统, 优化, 算法

CLC Number: 

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