采用结构融合策略优化换热网络

doi:10.11949/0438-1157.20190531

摘要/Abstract

摘要：

利用强制进化随机游走算法优化换热网络至后期时，个体网络结构基本定型，很难再被破坏或改变，潜在进化能力难以发挥作用，无法求解出更优结构。基于此，探究个体进化过程中的结构变化特性，分析后期结构优化的重心所在，提出结构融合策略，将两个个体结构融合到一起，形成新个体，放大原个体结构进化潜力。对新个体进行优化，其结构中所有换热单元互相竞争，引导结构进化潜力发挥作用，保留有益于结构进化的换热单元，淘汰阻碍结构进化的换热单元，生成部分新换热单元，促进个体进化形成更优换热网络结构。最后应用两个算例验证该策略的有效性，取得了可观的优化效果。

关键词: 算法, 换热网络, 计算机模拟, 优化设计, 结构融合, 个体进化

Abstract:

The individual heat exchanger network structure is basically stereotyped when it is optimized by random walk algorithm with compulsive evolution (RWCE) to a certain stage, and it is difficult to destroy or change the heat balance in the certain local optimal structure and search for better solutions. Therefore, this paper explores the characteristics of structural changes in the evolution of individuals and analyzes the keys to structural evolution. It is found that heat exchange unit has great effects on the structural evolution. Therefore, the structure-fusion strategy is proposed to organize the heat exchange units of two individuals into one structure, which could expand the evolution potentiality of individual network structure. The new individual structure is optimized by RWCE to form better configuration, through the process that all heat exchange units compete with each other and the structural evolution potentiality work at full capacity. Finally, two examples are applied to verify the effectiveness of the strategy and achieve considerable optimization results.

Key words: algorithm, heat exchanger network, computer simulation, optimal design, structure-fusion, individual evolution

中图分类号:

TK 124

韩正恒, 崔国民, 肖媛. 采用结构融合策略优化换热网络[J]. 化工学报, 2019, 70(12): 4730-4740.

Zhengheng HAN, Guomin CUI, Yuan XIAO. Optimization of heat exchanger network by structure-fusion strategy[J]. CIESC Journal, 2019, 70(12): 4730-4740.

图/表 19

参考文献 33

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Stream	T _in/℃	T _out/℃	GCp/ (kW·℃^-1)	h/ (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	1034.5	576	21.3	0.06
C1	123	343	10.61	0.06
C2	20	156	6.65	1.2
C3	156	157	3291	2
C4	20	182	26.63	1.2
C5	182	318	31.19	1.2
C6	318	320	4011.83	2
C7	322	923.78	17.6	0.06
HU	927	927	—	5
CU	9	17	—	1

Stream	T _in/℃	T _out/℃	GCp/ (kW·℃^-1)	h/ (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	1034.5	576	21.3	0.06
C1	123	343	10.61	0.06
C2	20	156	6.65	1.2
C3	156	157	3291	2
C4	20	182	26.63	1.2
C5	182	318	31.19	1.2
C6	318	320	4011.83	2
C7	322	923.78	17.6	0.06
HU	927	927	—	5
CU	9	17	—	1

文献	换热单元个数	最小传热温差/℃	公用工程/(USD·a^-1)	设备投资/(USD·a^-1)	TAC/(USD·a^-1)
[26]	19	9.18	487173.25	1029308.75	1516482^①
[27]	16	8.22	525660	936663	1462323^①
[28]	19	6.70	457767.5	961213.5	1418981
本文	18	3.78	470125	942861	1412986

文献	换热单元个数	最小传热温差/℃	公用工程/(USD·a^-1)	设备投资/(USD·a^-1)	TAC/(USD·a^-1)
[26]	19	9.18	487173.25	1029308.75	1516482^①
[27]	16	8.22	525660	936663	1462323^①
[28]	19	6.70	457767.5	961213.5	1418981
本文	18	3.78	470125	942861	1412986

Stream	T _in/℃	T _out/℃	GCp/(kW·℃^-1)	h/(kW·m^-2·℃^-1)
H1	180	75	30	2
H2	280	120	15	0.6
H3	180	75	30	0.3
H4	140	45	30	2
H5	220	120	25	0.08
H6	180	55	10	0.02
H7	170	45	30	2
H8	180	50	30	1.5
H9	280	90	15	1
H10	180	60	30	2
C1	40	230	20	1.5
C2	120	260	35	2
C3	40	190	35	1.5
C4	50	190	30	2
C5	50	250	20	2
C6	40	150	10	0.06
C7	40	150	20	0.4
C8	120	210	35	1.5
C9	40	130	35	1
C10	60	120	30	0.7
HU	325	325	-	1
CU	25	40	-	2