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基于遗传/模拟退火算法考虑压降的换热网络优化改造

吴敏 肖武 贺高红

化工进展Issue(4):1171-1177,7.
化工进展Issue(4):1171-1177,7.DOI:10.16085/j.issn.1000-6613.2015.04.047

基于遗传/模拟退火算法考虑压降的换热网络优化改造

Retrofit of heat exchanging network considering pressure drop based on GA/SA

吴敏 1肖武 1贺高红1

作者信息

  • 1. 大连理工大学精细化工国家重点实验室膜科学与技术研究开发中心,辽宁大连 116024
  • 折叠

摘要

Abstract

This paper simulated optimization method for retrofitting existing heat exchanging networks(HENs). Based on the non-isothermal mixing of splits stage-wise heat exchangers network superstructure,a MINLP model to retrofit heat exchangers network was established. This model simultaneously considered the tradeoffs among the utility costs,the additional heat transfer areas costs, the new heat exchangers costs and the added powers costs. A stage-wise superstructure model for design of new HENs was improved by adding constraining conditions and binary variables. By analyzing an existing heat exchanger network,the GA/SA (genetic algorithm/simulated annealing algorithm) algorithm was applied to retrofit of the HEN with full utilization of the existing heat exchangers and structure. The results showed that the method presented in this paper reduced utility loads much more and the investment costs,resulting a faster investment pay-back period to 0.53 years. Therefore,this method provided a feasible solution to the heat exchanging net work renovation.

关键词

换热网络/改造/遗传/模拟退火算法/压降/超结构

Key words

heat exchanger network/retrofit/GA/SA/pressure drop/superstructure

分类

化学化工

引用本文复制引用

吴敏,肖武,贺高红..基于遗传/模拟退火算法考虑压降的换热网络优化改造[J].化工进展,2015,(4):1171-1177,7.

基金项目

国家自然科学青年基金(21206014)、国家杰出青年科学基金(21125628)及中央高校基本科研业务费专项资金(DUT14LAB14)项目。 ()

化工进展

OA北大核心CSCDCSTPCD

1000-6613

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