动态区域禁忌匹配策略提高新生换热单元竞争力

doi:10.19596/j.cnki.1001-246x.8370

摘要/Abstract

摘要：

在优化换热网络过程中, 有分流节点非结构模型的换热单元会打破初始均匀分布状态向流股上游区域集中, 使得冷热流股入口区域无法生成新的换热单元, 造成结构变异能力下降。本文探究该现象成因及其对进化的影响, 并提出动态区域禁忌匹配策略: 上游区域空节点时允许自由匹配; 当上游区域节点非空时进行上游区间的清空操作, 即将生成节点等效向下游区域进行转移, 从而保障换热单元在上游区域的匹配活力, 增强新生成换热单元在结构进化过程中的竞争力, 促进换热网络结构进化。通过在算例15sp和20sp的应用, 发现该策略能够提升网络结构变异能力。

关键词: 节点非结构, 换热网络优化, 结构变异, 竞争能力

Abstract:

In the process of optimizing heat exchange network of unstructured model with shunt nodes, heat exchange units could break the initial uniform distribution state and concentrate to the upstream region of the stream, which makes it impossible to generate new heat exchange units in the entrance region of cold and hot streams, resulting in the decrease of structural variation ability.The cause of this phenomenon and its influence on evolution are explored.And a dynamic regional taboo matching strategy is proposed.Free matching is allowed as the upstream region is empty.As the upstream node is not empty, the upstream region is cleared, which means that the generated nodes are equivalently transferred to the downstream region, so as to guarantee the matching vitality of the heat exchange unit in the upstream region, enhance competitiveness of newly generated heat exchange units in the process of structural evolution, and promote structural evolution of the heat exchange network.In the application of 15sp and 20sp examples, it is found that the strategy improves the network structure variation ability and achieves better results than existing literatures.

Key words: node unstructured, heat exchanger network optimization, structural variation, competitiveness

韩新宇, 崔国民, 肖媛, 张冠华, 高远. 动态区域禁忌匹配策略提高新生换热单元竞争力[J]. 计算物理, 2022, 39(1): 71-82.

Xinyu HAN, Guomin CUI, Yuan XIAO, Guanhua ZHANG, Yuan GAO. Dynamic Region Taboo Matching Strategy for Improving Competitiveness of New Heat Exchange Units[J]. Chinese Journal of Computational Physics, 2022, 39(1): 71-82.

图/表 16

图1 有分流节点的非结构模型

Fig.1 An unstructured model of node with shunt

图2 RWCE算法流程图

Fig.2 Flow chart of RWCE algorithm

图3 RWCE算法优化15sp算例的最优结构

Fig.3 Optimal structure of the 15sp example by RWCE algorithm

图4 H5C6换热单元形成过程

Fig.4 Formation process of H5C6 heat exchange unit

图5 H6C3换热单元形成过程

Fig.5 Formation process of H6C3 heat exchange unit

图6 节点匹配示意图

Fig.6 A schematic of node matching

图7 换热单元进化过程

Fig.7 Evolution process of heat exchange unit

图8 20sp算例(a)最优结构及(b)费用TAC下降曲线

Fig.8 (a) Optimal structure and (b) TAC decline curve of the 20sp example

图9 策略实施示意图

Fig.9 A schematic of strategy implementation

图10 IM-RWCE算法流程图

Fig.10 Flow chart of IM-RWCE algorithm

图11 15sp算例策略作用(a)初始和(b)优化中的结构

Fig.11 (a) Initial and (b) optimal structure of the 15sp example

图12 15sp最优结构(TAC=1 495 574 ＄·a-1)

Fig.12 15sp optimal structure (TAC=1 495 574 ＄·a-1)

表1 15sp算例最优对比

Table 1 Comparison of optimals for 15sp example

	热公用工程/(kW)	冷公用工程/(kW)	换热器数量	年综合费用/(＄·a^-1)
Ref.[14]				1 530 063
Ref.[18]	10 240	7 860	19	1 525 394
Ref.[19]	10 615	8 240	15	1 510 891
Ref.[16]	10 399	8 024	17	1 506 762
Ref.[17]				1 497 325
图 12	10 177	7 802	17	1 495 574

图13 策略引入前后费用下降曲线

Fig.13 Cost decline curve before and after strategy introduction

图14 20sp最优结构(TAC=1 396 469 ＄·a-1)

Fig.14 20sp optimal structure (TAC=1 396 469 ＄·a-1)

表2 20sp算例最优结果对比

Table 2 Comparison of optimals for the 20sp example

	热公用工程/(kW)	冷公用工程/(kW)	换热单元数量	年综合费用/(＄·a^-1)
Ref.[20]	1 938	106.93	21	1 537 086
Ref.[21]	1 938	106.93	21	1 516 482
Ref.[22]	1 804	23	22	1 418 977
Ref.[23]	1 831	0	20	1 407 203
图 13	1 831	0	21	1 396 469

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