应用固定投资费用松弛策略的换热网络优化

doi:10.19596/j.cnki.1001-246x.7902

计算物理 ›› 2019, Vol. 36 ›› Issue (5): 610-620.DOI: 10.19596/j.cnki.1001-246x.7902

应用固定投资费用松弛策略的换热网络优化

邓炜栋, 崔国民, 朱玉双

上海理工大学新能源科学与工程研究所, 上海 200093

收稿日期:2018-05-22 修回日期:2018-07-01 出版日期:2019-09-25 发布日期:2019-09-25
通讯作者: 崔国民,E-mail:cgm1226@163.com
作者简介:邓炜栋(1990-),男,硕士研究生
基金资助:
国家自然科学基金（51176125）及沪江基金研究基地专项（D14001）资助项目

Fixed Investment Cost Relaxation Strategy for Heat Exchanger Network Synthesis

DENG Weidong, CUI Guomin, ZHU Yushuang

Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2018-05-22 Revised:2018-07-01 Online:2019-09-25 Published:2019-09-25

摘要/Abstract

摘要： 启发式算法优化有固定投资费用的换热网络时，由于存在整型变量而造成结构进化困难，提出固定投资费用松弛策略.对固定投资费用进行松弛处理实现对数学模型的简化，当换热器换热量很小时固定投资费用几乎为零，随着换热量的增大，固定投资费用以一定斜率逐步增大最终等于实际值.通过松弛强度系数控制变化斜率，在保证优化结果可靠性的基础上引导存在结构进化障碍的换热器生成或消去.对文献中两个算例的优化结果进行分析，考察不同松弛强度下对换热器生成、消去的作用.提出基于固定投资费用松弛策略的强制进化随机游走算法，并应用于换热网络实例.

关键词: 换热网络, 启发式算法, 结构进化, 松弛策略, 强制进化随机游走算法

Abstract: In view of structural evolution difficulty caused by integer variables in heat exchanger network with fixed investment cost, a fixed investment cost relaxation strategy is proposed. It simplifies mathematical model of the problem by relaxing fixed investment cost. As heat exchanger is very small, fixed investment cost is almost zero. With increase of heat exchanger, fixed investment cost is gradually increased with a certain slope, and finally equals to the actual value. Controlling the change slope by the relaxation strength coefficient, on the basis of ensuring reliability of optimization results, heat exchangers with structural evolutionary obstacles are guided to generate or eliminate. The strategy is used to two cases in the literature, and effect of this strategy on generation or elimination of heat exchanger under different relaxation strength is investigated. Finally, a random walk algorithm with compulsive evolution based on fixed investment cost relaxation strategy is proposed. The algorithm is applied to a heat transfer network case. The result is superior to existing literature.

Key words: heat exchanger network, heuristic algorithm, structure evolution, relaxation strategy, random walking algorithm with compulsive evolution

中图分类号:

TK124

邓炜栋, 崔国民, 朱玉双. 应用固定投资费用松弛策略的换热网络优化[J]. 计算物理, 2019, 36(5): 610-620.

DENG Weidong, CUI Guomin, ZHU Yushuang. Fixed Investment Cost Relaxation Strategy for Heat Exchanger Network Synthesis[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 36(5): 610-620.

参考文献

[1] LINNHOFF B, HINDMARSH E. The pinch design method for heat exchanger networks[J]. Chemical Engineering Science, 1983, 38(5):745-763.
[2] ZAMORA J M, GROSSMANN I E. A global MINLP optimization algorithm for the synthesis of heat exchanger networks with no stream splits[J]. Computers & Chemical Engineering, 1998, 22(3):367-384.
[3] 包艳冰, 崔国民, 肖媛, 等. 极大极小值交替优化算法实现换热网络全局热集成[J]. 化工进展, 2017, 36(2):426-434.
[4] ANDROULAKIS I P, VENKATASUBRAMANIAN V. A genetic algorithmic framework for process design and optimization[J]. Computers & Chemical Engineering, 1991, 15(4):217-228.
[5] CHEN S, CUI G, ZHANG C, et al. Optimization of heat integration in dynamic multi-agent differential evolution algorithm[J]. Chinese Journal of Computational Physics, 2016, 33(3):349-357.
[6] LI S, CUI G, CHEN J, et al. An improved particle swarm optimization based on diversity monitor and real-time updating strategy[J]. Chinese Journal of Computational Physics, 2017, 34(3):344-354.
[7] 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.
[8] DOLAN W B, CUMMINGS P T, LE VAN M D. Process optimization via simulated annealing application to network design[J]. AIChE Journal 1989, 35(5):725-736.
[9] 胡向柏, 崔国民, 涂惟民. 复杂换热网络MINLP中的非线性特性分析[J]. 工程热物理学报, 2012, V33(2):285-287.
[10] 彭富裕, 崔国民, 陈家星. 基于模拟退火算法的换热网络双层优化方法[J]. 石油化工, 2014, 43(5):536-544.
[11] DUAN H, CUI G, CHEN J, et al. A Strategy of Differential evolution with opposition-based multi-population parallel[J]. Chinese Journal of Computational Physics, 2016, 33(5):561-569.
[12] 霍兆义, 赵亮, 尹洪超. 基于分级超结构的换热网络改造优化[J]. 热科学与技术, 2016, 15(1):19-25.
[13] YEE T F, GROSSMANN I E. Simultaneous optimization models for heat integration (II):Heat exchanger network synthesis[J]. Compute Chem Eng, 1990, 14(10), 1165-1184.
[14] DENG W, CUI G, XIAO Y. A coupled evolutionary strategy for complex heat exchanger network optimization[J]. Chinese Journal of Computational Physics, 2018, 35(6):675-684.
[15] BRIONES V, KOKOSSIS A C. Hypertargets:A conceptual programming approach for the optimization of industrial heat networks I. Grassroots design and network complexity[J]. Chemical Engineering Science, 1999,54:519-539.
[16] 张春伟, 崔国民, 陈上. 基于局部搜索策略的混合算法同步综合换热网络[J]. 高校化学工程学报, 2016, 30(6):1380-1390.
[17] BJÖRK K M, NORDMAN R. Solving large-scale retrofit heat exchanger network synthesis problems with mathematical optimization methods[J]. Chemical Engineering & Processing Process Intensification, 2005, 44(8):869-876.
[18] 方大俊, 崔国民, 许海珠, 等. 基于蒙特卡罗微分算法优化大规模换热网络[J]. 化学工程, 2014,42(5):66-71.
[19] FIEG G, LUO X, JEZOWSKI J. A monogenetic algorithm for optimal design of large-scale heat exchanger networks[J]. Chemical Engineering & Processing Process Intensification, 2009, 48(11):1506-1516.
[20] PENG F, CUI G. Efficient simultaneous synthesis for heat exchanger network with simulated annealing algorithm[J]. Applied Thermal Engineering, 2015, 78:136-149.
[21] WANG J, CUI G, XIAO Y, et al. Bi-level heat exchanger network synthesis with evolution method for structure optimization and memetic particle swarm optimization for parameter optimization[J]. Engineering Optimization, 2016:1-16.

应用固定投资费用松弛策略的换热网络优化

Fixed Investment Cost Relaxation Strategy for Heat Exchanger Network Synthesis

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