应用结构摄动策略的有分流换热网络优化

doi:10.19596/j.cnki.1001-246x.8160

计算物理 ›› 2020, Vol. 37 ›› Issue (6): 734-744.DOI: 10.19596/j.cnki.1001-246x.8160

应用结构摄动策略的有分流换热网络优化

徐玥, 崔国民

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与传热重点实验室, 上海 200093

收稿日期:2019-10-16 修回日期:2020-01-09 出版日期:2020-11-25 发布日期:2020-11-25
通讯作者: 崔国民,教授,博士生导师,研究方向为过程系统优化,E-mail:cgm@usst.edu.cn
作者简介:徐玥(1991-),女,博士研究生,研究方向为过程系统优化,E-mail:yue323@foxmail.com
基金资助:
国家自然科学基金（21978171）、上海市科委部分地方院校能力建设计划（16060502600）资助项目

Heat Exchanger Network Optimization Using Structural Perturbation Strategy

XU Yue, CUI Guomin

Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, School of Energy and Power Eningeering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2019-10-16 Revised:2020-01-09 Online:2020-11-25 Published:2020-11-25

摘要/Abstract

摘要： 有分流节点非结构模型（NNM-SS）应用于换热网络优化时，因难以生成合适的分流结构而使优化陷入局部极值.根据NNM-SS的优化特点及网络结构中分流次数对费用的影响，提出结构摄动策略，并将其引入强制进化随机游走算法（RWCE-SS）.策略的主要思想为：在优化过程中，以一定的概率随机抽取一个无分流结构的换热器，并在该位置上生成一组新的分流结构以增加网络中的分流次数，通过对结构的摄动实现对算法搜索能力的提升.算例验证表明应用该策略改进的算法可获得更好的优化结果.

关键词: 换热网络优化, 有分流节点非结构模型, 摄动策略, 网络结构变异, 优化质量

Abstract: As nodes-based nonstructural model with stream splits (NNM-SS) applied in heat exchanger network synthesis, optimization may be trapped in local optima due to the difficult in generating suitable structures with stream splits. Structural perturbation strategy is proposed and is added into random walk algorithm with compulsive evolution (RWCE-SS). During optimization, a heat exchanger without stream splits is chosen under a certain probability, and then generating a new substream structure on its position to add the number of stream splits in the network. Optimization results obtained by retrofitted algorithm are better than those in literatures.

Key words: heat exchanger network synthesis optimization, nodes-based nonstructural model with stream splits, strategy of perturbation, variation of network structure, quality of result

中图分类号:

TK124

徐玥, 崔国民. 应用结构摄动策略的有分流换热网络优化[J]. 计算物理, 2020, 37(6): 734-744.

XU Yue, CUI Guomin. Heat Exchanger Network Optimization Using Structural Perturbation Strategy[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 37(6): 734-744.

参考文献

[1] KHORASANY R M, FESANGHARY M. A novel approach for synthesis of cost-optimal heat exchanger networks[J]. Computers and Chemical Engineering, 2009, 33(8):1363-1370.
[2] PENG F Y, CUI G M. Efficient simultaneous synthesis for heat exchanger network with simulated annealing algorithm[J]. Applied Thermal Engineering, 2015, 78:136-149.
[3] HUO Z Y, ZHAO L, YIN H C, YE J X. Simultaneous synthesis of structural-constrained heat exchanger networks with and without stream splits[J]. The Canadian Journal of Chemical Engineering, 2013, 91(5):830-842.
[4] WEI G F, YAO P J, LUO X, WILFRIED R. Study on multi-stream heat exchanger network synthesis with parallel genetic/simulated annealing algorithm[J]. Chinese Journal of Chemical Engineering, 2004, 12(1):66-77.
[5] RAVANANI M A S S, SILVA A P, ARROYO P A, CONSTANTINO A A. Heat exchanger network synthesis and optimization using genetic algorithm[J]. Applied Thermal Engineering, 2005, 25:1003-1017.
[6] PAVÃO L V, COSTA C B B, RAVAGNANI M A S S. Heat exchanger network synthesis without stream splits using parallel and simplified simulated annealing and particle swarm optimization[J]. Chemical Engineering Science, 2017, 158:96-107.
[7] XIAO Y, CUI G M, SUN T, et al. An integrated random walk algorithm with compulsive evolution and fine-search strategy for heat exchanger network synthesis[J]. Applied Thermal Engineering, 2018, 128:861-876.
[8] 鲍中凯, 崔国民, 陈家星. 一种应用于换热网络综合的伴随优化策略[J]. 热能动力工程, 2019, 34(4):29-39.
[9] LI J, CUI G M, CHEN J X, et al. Simultaneous synthesis of heat exchanger network by random walk algorithm with compulsive evolution based on trilevel protection strategy[J].Chinese Journal of Computational Physics, 2019, 36(1):69-79.
[10] PAVÃO L V, COSTA C B B, RAVAGNANI M A S S. An enhanced stage-wise superstructure for heat exchanger networks synthesis with now options for heaters and coolers placement[J]. I&EC Research, 2018, 57:2560-2573.
[11] BAO Z K, CUI G M, CAO C, et al. Heat exchanger network optimization based on inner utility placement strategy[J].Chinese Journal of Computational Physics, 2019, 36(6):707-718.
[12] JIANG Y W, CUI G M, BAO Z K, et al. A heat exchanger network optimization strategy for internal utility evolution[J]. Chinese Journal of Computational Physics, 2020, 37(3):341-351.
[13] 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):1-13.
[14] 陶佳男, 崔国民, 包艳冰, 赵兵涛. 换热网络优化的随机摄动方法及其应用[J]. 热能动力工程, 2018, 33(4):1-7.
[15] 肖媛, 崔国民, 李帅龙. 一种新的用于换热网络全局优化的强制进化随机游走算法[J]. 化工学报, 2016, 67(12):5140-5147.
[16] BAO Z K, CUI G M, CHEN J X, et al. A novel random walk algorithm with compulsive evolution combined with an optimum-protection strategy for heat exchanger network synthesis[J]. Energy, 2018, 152:694-708.
[17] HUANG K F, KARIMI I A. Efficient algorithm for simultaneous synthesis of heat exchanger networks[J]. Chemical Engineering Science, 2014, 105:53-68.
[18] HUANG K F, AL-MUTAIRI E M, KARIMI I A. Heat exchanger network synthesis using a stage wise superstructure with non-isothermal mixing[J]. Chemical Engineering Science, 2012, 73:30-43.
[19] BJÖRK K M, NORDMAN R. Solving large-scale retrofit heat exchanger network synthesis problems with mathematical optimization methods[J]. Chemical Engineering and Process, 2005, 44:869-876.
[20] BERGAMINIM L, SCENNA N J, AGUIRRE P A. Global optimal structures of heat exchanger networks by piecewise relaxation[J]. Industrial & Engineering Chemical Research, 2007, 46:1752-1763.
[21] BJÖRK K M, PETTERSSON F. Optimization of large-scale heat exchanger network synthesis problems[C].Proceeding of the ISATED International Conference on Modelling and Simulation, Palm Springs, USA, 2003(2003):313-318.
[22] BJÖRK K M,WESTERLUND T. Global optimization of heat exchanger network synthesis problems with and without the isothermal mixing assumption[J]. Computers & Chemical Engineering, 2002, 26:1581-1593.
[23] PAVÃO L V, COSTA C B B, RAVAGNANI M A S S, et al. Costs and environmental impacts multi-objective heat exchanger networks synthesis using a meta-heuristic approach[J]. Applied Energy, 2017, 203:304-320.
[24] FIEG G, LUO X, JEZOWSKI J, A monogenetic algorithm for optimal design of large-scale heat exchanger networks[J]. Chemical Engineering and Process. 2009, 48:1506-1516.
[25] PAVÃO L V, COSTA C B B, RAVAGNANI M A S S. Large-scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization[J]. AIChE Journal, 2007, 63:1582-1601.

应用结构摄动策略的有分流换热网络优化

Heat Exchanger Network Optimization Using Structural Perturbation Strategy

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

作者中心

审稿中心

期刊浏览

期刊介绍

[1]	韩新宇, 段欢欢, 崔国民, 肖媛, 杨其国, 张冠华. 公用工程灵活匹配的节点非结构拓展模型[J]. 计算物理, 2022, 39(6): 707-716.
[2]	韩新宇, 崔国民, 肖媛, 张冠华, 高远. 动态区域禁忌匹配策略提高新生换热单元竞争力[J]. 计算物理, 2022, 39(1): 71-82.
[3]	赵倩倩, 崔国民, 韩正恒, 肖媛, 徐玥. RWCE算法中选择性接受差解策略优化换热网络[J]. 计算物理, 2021, 38(4): 489-497.
[4]	李万总, 崔国民, 孙涛, 肖媛. 垂直非结构模型应用于换热网络优化[J]. 计算物理, 2020, 37(4): 448-458.
[5]	朱玉双, 崔国民, 肖媛, 陈家星. 采用单元进化限制策略的RWCE算法优化换热网络[J]. 计算物理, 2017, 34(5): 593-602.
[6]	于盛男, 崔国民, 肖媛, 周剑卫. 应用于换热网络优化的RWCE算法接受差解策略分析与改进[J]. 计算物理, 2017, 34(4): 445-452.