基于面积再分配和遗传算法的换热网络改造

doi:10.16085/j.issn.1000-6613.2016-2349

化工进展 ›› 2017, Vol. 36 ›› Issue (08): 2830-2837.DOI: 10.16085/j.issn.1000-6613.2016-2349

基于面积再分配和遗传算法的换热网络改造

蒋宁, 俞杭生, 韩文巧

浙江工业大学化工机械设计研究所, 浙江杭州 310014

收稿日期:2016-12-19 修回日期:2017-01-18 出版日期:2017-08-05 发布日期:2017-08-05
通讯作者: 蒋宁(1977-),女,博士,副教授,主要从事换热网络优化集成的研究。
作者简介:蒋宁(1977-),女,博士,副教授,主要从事换热网络优化集成的研究。E-mail:jiangning@zjut.edu.cn。
基金资助:
国家自然科学基金项目（51206147）。

Retrofit of heat exchanger network based on exchanger reassignment and genetic algorithm (GA)

JIANG Ning, YU Hangsheng, HAN Wenqiao

Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China

Received:2016-12-19 Revised:2017-01-18 Online:2017-08-05 Published:2017-08-05

摘要/Abstract

摘要： 在过程工业中，现存的许多换热网络由于结构和工艺的不合理，存在较大的能量回收潜力，使得许多换热网络有改造的需要。本文结合了分级超结构模型和换热器再分配策略，并对现有换热器再分配策略做了进一步改进，充分利用现有换热器，而当再利用现有换热器时，对比新增面积费用和新增换热器费用的大小，选择较小的方案，使相同的改造效果下的投资费用最小化。基于分级超结构模型，建立了换热网络优化改造的MINLP数学模型，充分考虑改造后节省的公用工程、原有换热器增加面积的投资费用、新增换热器的投资费用；基于遗传算法求解得到优化改造的换热网络。案例研究表明，改造所得到的换热网络与原换热网络相比，公用工程费用的降幅超过60%，改造收益为1.49×10⁷$/a；年度总费用为1.290×10⁷$/a，比相关文献低31.2%和9.2%，公用工程费用也比文献节省了42.4%和17.0%，实现了更优的改造效果。

关键词: 换热网络, 改造, 遗传算法, 再分配策略

Abstract: In process industry,many existing heat exchanger networks have huge energy recovery potential due to the unreasonable network structure. Therefore,it is necessary to retrofit those heat exchanger networks. This paper combined the exchanger reassignment strategy with the stage-wise superstructure. The exchanger reassignment strategy was improved further to make full use of existing heat exchangers. Meanwhile,more economic option was chosen by comparing the additional heat transfer area cost and the new heat exchanger cost when an existing heat exchanger was reused,ensuring a lower investment cost under the same energy-saving. A MINLP (mixed integer nonlinear programming) model to retrofit the heat exchanger network was built based on the stage-wise superstructure. The model considered the tradeoff among the additional heat transfer area cost,the new heat exchanger cost and the utility saving by retrofit. The retrofit of heat exchanger network was solved by genetic algorithm(GA). In a case study,the utility cost was reduced more than 60% and the retrofit profit would be 1.49×10⁷$/a. The total annual cost of the retrofit network was 1.290×10⁷$/a,which was 31.2% and 9.2% lower than the literatures,respectively. The utility cost was 42.4% and 17.0% lower than the literatures. A better retrofit result was achieved by the method proposed in this work.

Key words: heat exchanger network, retrofit, genetic algorithm, reassignment strategy

中图分类号:

TQ021.8

蒋宁, 俞杭生, 韩文巧. 基于面积再分配和遗传算法的换热网络改造[J]. 化工进展, 2017, 36(08): 2830-2837.

JIANG Ning, YU Hangsheng, HAN Wenqiao. Retrofit of heat exchanger network based on exchanger reassignment and genetic algorithm (GA)[J]. Chemical Industry and Engineering Progress, 2017, 36(08): 2830-2837.

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基于面积再分配和遗传算法的换热网络改造

Retrofit of heat exchanger network based on exchanger reassignment and genetic algorithm (GA)

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