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基于节点配置策略的有分流换热网络优化性能探析
引用本文:徐玥,崔国民.基于节点配置策略的有分流换热网络优化性能探析[J].化工进展,2021,40(7):3608-3616.
作者姓名:徐玥  崔国民
作者单位:上海理工大学新能源科学与工程研究所,上海市动力工程多相流动与传热重点实验室,上海200093
基金项目:国家自然科学基金(21978171)
摘    要:应用节点非结构模型(nodes-based non-structural model,NNM)优化换热网络时,合理地配置节点参数(分流组数和分支数)可辅助算法以更高的效率获得更优的结果。然而,NNM模型的设置中,所有热流股共用一组节点参数,所有冷流股共用一组节点参数,因此无法定制化地满足每一个流股对分流的需求。为提高网络中节点的利用率,本文提出了节点配置策略。该策略可根据流股热容流率对流股上的分支数及其组数进行调整,减少无效结构对优化的阻碍,使算法在优化初期快速获得潜在优势结构,提升优化质量。通过10SP和15SP算例验证策略的有效性,所获结果比文献最优结果分别低340USD/a和2285USD/a,且低于同参数下无该节点配置策略的NNM模型所获结果,从算例分析可知该策略可有效辅助提升算法的优化性能,以获取更优的优化结果。

关 键 词:换热网络优化  节点非结构模型  节点参数  模型  优化
收稿时间:2020-08-04

Analyzing optimization performance of heat exchanger network synthesis based on nodes' adjustment strategy
XU Yue,CUI Guomin.Analyzing optimization performance of heat exchanger network synthesis based on nodes' adjustment strategy[J].Chemical Industry and Engineering Progress,2021,40(7):3608-3616.
Authors:XU Yue  CUI Guomin
Affiliation:Research Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093, China
Abstract:When applying the nodes-based non-structural model (NNM) in optimizing heat exchanger networks, the reasonable adjusting the nodes' parameters (number of stream splitting and the number of groups of stream splitting) can assist the algorithm in obtaining better results within higher efficiency. However, in the setting of NNM model, all hot streams share a set of nodes' parameters and all cold streams share a set of nodes' parameters, thus it cannot customizedly satisfy the requirement of splitting of each stream. To promote the ratio of nodes' utilization in the network, an adjustment strategy was proposed in this paper. This strategy can adjust the number of stream splitting and the number of their splitting groups according to the heat capacities flowrate of streams, which decreases the obstacles resulting from the invalid splitting structures, and obtain the potential superior structures in early optimization period, then improve the optimization quality. 10SP and 15SP were used for proving the validity of strategy in this paper, the results were 340USD/a and 2285USD/a lower than the best ones in literature, respectively. Besides, they are also lower than the ones obtained by the single NNM. The data analysis indicated that this strategy is an effective assistance for improving the performance of the algorithm and contributes to yielding better optimization results.
Keywords:heat exchanger network synthesis  nodes-based non-structural model  nodes' parameter  model  optimization  
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