Dynamic Region Taboo Matching Strategy for Improving Competitiveness of New Heat Exchange Units

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

Abstract

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

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.

Figures/Tables 16

Fig.1 An unstructured model of node with shunt

Fig.2 Flow chart of RWCE algorithm

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

Fig.4 Formation process of H5C6 heat exchange unit

Fig.5 Formation process of H6C3 heat exchange unit

Fig.6 A schematic of node matching

Fig.7 Evolution process of heat exchange unit

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

Fig.9 A schematic of strategy implementation

Fig.10 Flow chart of IM-RWCE algorithm

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

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

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

Fig.13 Cost decline curve before and after strategy introduction

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

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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