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

作　　者：吴敏[1] 肖武[1] 贺高红[1] 

机构地区：[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

出　　处：《化工进展》2015年第4期1171-1177,共7页Chemical Industry and Engineering Progress

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

摘　　要：工艺系统中需要加入新物流、现存的换热网络结构需要改动、换热网络有较大的能量回收潜力,这些都是换热网络需要进行改造的原因。本文基于非等温混合分级超结构,建立了换热网络优化改造的MINLP数学模型,同时考虑了改造后的公用工程费用、新增换热器的费用、原有换热器新增面积的费用、新增动力设备的费用。将用于换热网络综合的分级超结构模型进行了简要的改进,增加了一些和现存设备相关的限制条件和二元变量。通过对现存换热网络进行分析,充分的利用原有的换热设备和换热网络结构,基于GA/SA算法求解可得到优化改造的换热网络结构。实际算例的计算结果和文献结果对比表明,本文得到的改造方案用较少的投资,实现了较多的公用工程节省,新增设备费用的静态投资回收期为0.53年,为换热网络改造提供了好的可行方案。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 

分 类 号：TQ021.8[化学工程]