基于节点配置策略的有分流换热网络优化性能探析

doi:10.16085/j.issn.1000-6613.2020-1539

摘要/Abstract

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

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.

Key words: heat exchanger network synthesis, nodes-based non-structural model, nodes' parameter, model, optimization

中图分类号:

TK124

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.

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.

图/表 13

参考文献 31

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流股	Tⁱⁿ/℃	T^out/℃	CF/kW·℃^-1	h/kW·m^-2·℃^-1
H1	85	45	156.3	0.05
H2	120	40	50	0.05
H3	125	35	23.9	0.05
H4	56	46	1250	0.05
H5	90	86	1500	0.05
H6	225	75	50	0.05
C1	40	55	466.7	0.05
C2	55	65	600	0.05
C3	65	165	180	0.05
C4	10	170	81.3	0.05
HU	200	180		0.05
CU	15	20		0.05
热交换器成本=60A USD·a^-1 （A in m²）
热公用工程成本= 100USD·kW^-1·a^-1
冷公用工程成本=15USD·kW^-1·a^-1

流股	Tⁱⁿ/℃	T^out/℃	CF/kW·℃^-1	h/kW·m^-2·℃^-1
H1	85	45	156.3	0.05
H2	120	40	50	0.05
H3	125	35	23.9	0.05
H4	56	46	1250	0.05
H5	90	86	1500	0.05
H6	225	75	50	0.05
C1	40	55	466.7	0.05
C2	55	65	600	0.05
C3	65	165	180	0.05
C4	10	170	81.3	0.05
HU	200	180		0.05
CU	15	20		0.05
热交换器成本=60A USD·a^-1 （A in m²）
热公用工程成本= 100USD·kW^-1·a^-1
冷公用工程成本=15USD·kW^-1·a^-1

节点	Nd_H	Nd_C	Nf_H	Nf_C	Mb_H	Mb_C	TAC/USD·a^-1	R-Nf_C	分流所在流股
A1	10	10	3	3	1	1	5586361	4	C1
A2	6	6	5	5	1	1	5588318	8	C1、C2、C4
B1	8	8	3	3	1	1	5586578	6	C1、C4
B2	6	6	4	4	1	1	5587797	6	C1、C2、C4
B3	12	12	2	2	1	1	5587211	4	C1、C2

节点	Nd_H	Nd_C	Nf_H	Nf_C	Mb_H	Mb_C	TAC/USD·a^-1	R-Nf_C	分流所在流股
A1	10	10	3	3	1	1	5586361	4	C1
A2	6	6	5	5	1	1	5588318	8	C1、C2、C4
B1	8	8	3	3	1	1	5586578	6	C1、C4
B2	6	6	4	4	1	1	5587797	6	C1、C2、C4
B3	12	12	2	2	1	1	5587211	4	C1、C2

文献	TAC/ USD·a^-1	单元	热公用工程/MW	冷公用工程/MW
［17］	7074000	—	—	—
［21］	5672821	13	20529.3	14923.8
［22］	5636048	15	20297	14691
［23］	5596079	18	20339	14733.5
［18］	5587883^①	19	20315.5	14711.9
［19］	5585632^①	17	19442.1	14837.3
本文图4	5585292^①	25	20216.2	14601.8