A Heat Exchanger Network Optimization Method with Dominant Individual Multi-directional Compulsive Search Strategy

doi:10.19596/j.cnki.1001-246x.8354

Abstract

Abstract:

An evolutionary algorithm of multi-directional compulsive search strategy for dominant individuals is proposed to evaluate the health of global search of current population by examining individual difference index.When the optimization results stagnate for a long time, the health index becomes worse and the multi-direction forced search strategy of the dominant individual is started to expand the search direction of the dominant individual near the local optimal solution region, so as to ensure the global search ability of the algorithm.The strategy was applied to 15SP and 20SP calculation examples and results were compared with optimal results in the literature.They are decreased by 1.09% and 0.83%, respectively.It in dicates that the dominant individual multi-directional compulsive search strategy exerts fully the evolutionary potential of the dominant individual and improves the optimization efficiency of the algorithm.

Key words: heat exchanger network, population diversity, multi-directional compulsive search strategy, individual differences

Weiwei LIU, Guomin CUI, Yuan XIAO, Yue XU, Qianqian ZHAO, Guanhua ZHANG. A Heat Exchanger Network Optimization Method with Dominant Individual Multi-directional Compulsive Search Strategy[J]. Chinese Journal of Computational Physics, 2022, 39(1): 60-70.

Figures/Tables 14

References 26

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流股	进口温度/℃	出口温度/℃	热容流率/(kW·℃^-1)	换热系数/(kW·m^-2·℃^-1)
H1	217.0	150.0	148.42	0.5
H2	97.0	50.0	27.32	0.5
H3	135.0	50.0	111.25	0.5
H4	155.0	50.0	79.01	0.5
H5	180.0	50.0	42.92	0.5
H6	210.0	50.0	21.66	0.5
H7	155.5	154.5	28 500	0.5
H8	97.5	96.5	45 900.00	0.5
H9	97.5	96.5	11 800.00	0.5
H10	120.0	50.5	117.86	0.5
C1	40.0	65.5	280.80	0.5
C2	65.0	150.0	716.33	0.5
C3	149.5	150.5	12 700.00	0.5
C4	164.5	165.5	20 500.00	0.5
C5	30.0	100.0	107.11	0.5
HU	250.0	249.0		0.5
CU	15.0	30.0		0.5

流股	进口温度/℃	出口温度/℃	热容流率/(kW·℃^-1)	换热系数/(kW·m^-2·℃^-1)
H1	217.0	150.0	148.42	0.5
H2	97.0	50.0	27.32	0.5
H3	135.0	50.0	111.25	0.5
H4	155.0	50.0	79.01	0.5
H5	180.0	50.0	42.92	0.5
H6	210.0	50.0	21.66	0.5
H7	155.5	154.5	28 500	0.5
H8	97.5	96.5	45 900.00	0.5
H9	97.5	96.5	11 800.00	0.5
H10	120.0	50.5	117.86	0.5
C1	40.0	65.5	280.80	0.5
C2	65.0	150.0	716.33	0.5
C3	149.5	150.5	12 700.00	0.5
C4	164.5	165.5	20 500.00	0.5
C5	30.0	100.0	107.11	0.5
HU	250.0	249.0		0.5
CU	15.0	30.0		0.5

	换热单元数	热公用工程负荷/MW	冷公用工程负荷/MW	年综合费用/(＄·a^-1)
max	29	43.28	61.15	5 613 283^*
max	22	38.23	56.10	5 687 499^*
max	26	27.38	45.25	5 233 287
max	26	27.27	45.06	5 169 883
图 8	25	26.50	44.31	5 113 725

	换热单元数	热公用工程负荷/MW	冷公用工程负荷/MW	年综合费用/(＄·a^-1)
max	29	43.28	61.15	5 613 283^*
max	22	38.23	56.10	5 687 499^*
max	26	27.38	45.25	5 233 287
max	26	27.27	45.06	5 169 883
图 8	25	26.50	44.31	5 113 725

流股	进口温度/℃	出口温度/℃	热容流率/(kW·℃^-1)	换热系数/(kW·m^-2·℃^-1)
H1	576	437	23.1	0.06
H2	599	399	15.22	0.06
H3	530	382	15.15	0.06
H4	449	237	14.76	0.06
H5	368	177	10.7	0.06
H6	121	114	149.6	1
H7	202	185	258.2	1
H8	185	113	8.38	1
H9	140	120	59.89	1
H10	69	66	165.79	1
H11	120	68	8.74	1
H12	67	35	7.62	1
H13	1 034.5	576	21.3	0.06
C1	123	343	10.61	0.06
C2	20	156	6.65	1.2
C3	156	157	3 291	2
C4	20	182	26.63	1.2
C5	182	318	31.19	1.2
C6	318	320	4 011.83	2
C7	322	923.78	17.6	0.06
HU	927	927	5
CU	9	17	1