化工学报 ›› 2022, Vol. 73 ›› Issue (7): 3145-3155.DOI: 10.11949/0438-1157.20220024
收稿日期:
2022-01-06
修回日期:
2022-03-23
出版日期:
2022-07-05
发布日期:
2022-08-01
通讯作者:
崔国民
作者简介:
杨岭(1997—),男,硕士研究生,基金资助:
Ling YANG(),Guomin CUI(),Zhiqiang ZHOU,Yuan XIAO
Received:
2022-01-06
Revised:
2022-03-23
Online:
2022-07-05
Published:
2022-08-01
Contact:
Guomin CUI
摘要:
质量交换网络是化工过程系统的重要组成部分,其优化设计对降低污染排放具有重要意义。采用启发式算法优化质量交换网络时,存在难以兼顾全局搜索和局部搜索的问题。通过分析不同精度优化参数下的优化结果,揭示了该问题的成因,并提出一种精细搜索策略用于基础算法所得结构的深度优化。该策略包含两种方法,方法1采用具有个体回代与分化的高精度强制进化随机游走算法,可保留个体结构变异能力;方法2采用确定性方法依次对多维目标函数中的每个变量进行一维搜索,具有精度高收敛快的优点。将该策略应用于焦炉气脱硫和空气除氨算例,得到的结果分别为407308 USD·a-1和127807 USD·a-1,经济性优于现有文献中的结果,验证了本策略的有效性。
中图分类号:
杨岭, 崔国民, 周志强, 肖媛. 精细搜索策略应用于质量交换网络综合[J]. 化工学报, 2022, 73(7): 3145-3155.
Ling YANG, Guomin CUI, Zhiqiang ZHOU, Yuan XIAO. Fine search strategy applied to mass exchange network synthesis[J]. CIESC Journal, 2022, 73(7): 3145-3155.
流股 | 最大流量/(kg·s-1) | 入口浓度/(kg H2S·kg-1) | 目标浓度/(kg H2S·kg-1) | m | b | C0 |
---|---|---|---|---|---|---|
R1 | 0.9000 | 0.07000 | 0.00030 | |||
R2 | 0.1000 | 0.05100 | 0.00010 | |||
S1 | 2.3000 | 0.00060 | 0.03100 | 1.45 | 0 | 117360 |
S2 | ∞ | 0.00020 | 0.00350 | 0.26 | 0 | 176040 |
表1 算例1的流股数据
Table 1 Stream data of case 1
流股 | 最大流量/(kg·s-1) | 入口浓度/(kg H2S·kg-1) | 目标浓度/(kg H2S·kg-1) | m | b | C0 |
---|---|---|---|---|---|---|
R1 | 0.9000 | 0.07000 | 0.00030 | |||
R2 | 0.1000 | 0.05100 | 0.00010 | |||
S1 | 2.3000 | 0.00060 | 0.03100 | 1.45 | 0 | 117360 |
S2 | ∞ | 0.00020 | 0.00350 | 0.26 | 0 | 176040 |
文献 | 单元数 | 总塔板数 | TAC/(USD·a-1) |
---|---|---|---|
[ | 4 | — | 530471 |
[ | 5 | — | 469968 |
[ | 5 | — | 431613 |
[ | 4 | 25 | 429700 |
[ | 4 | 21 | 422293 |
[ | 4 | 24 | 420545 |
[ | 4 | 20 | 412500 |
[ | 4 | 22 | 411166 |
[ | 6 | 19 | 410971 |
[ | 6 | 19 | 410565 |
本文 | 4 | 21 | 407308 |
表2 算例1的结果对比
Table 2 Result comparison of case 1
文献 | 单元数 | 总塔板数 | TAC/(USD·a-1) |
---|---|---|---|
[ | 4 | — | 530471 |
[ | 5 | — | 469968 |
[ | 5 | — | 431613 |
[ | 4 | 25 | 429700 |
[ | 4 | 21 | 422293 |
[ | 4 | 24 | 420545 |
[ | 4 | 20 | 412500 |
[ | 4 | 22 | 411166 |
[ | 6 | 19 | 410971 |
[ | 6 | 19 | 410565 |
本文 | 4 | 21 | 407308 |
流股 | 最大流量/(kg·s-1) | 入口浓度/(kg NH3·kg-1) | 目标浓度/(kg NH3·kg-1) | m | b | C0 |
---|---|---|---|---|---|---|
R1 | 2.0000 | 0.00500 | 0.00100 | |||
R2 | 4.0000 | 0.00500 | 0.00250 | |||
R3 | 3.5000 | 0.01100 | 0.00250 | |||
R4 | 1.5000 | 0.01000 | 0.00500 | |||
R5 | 0.5000 | 0.00800 | 0.00250 | |||
S1 | 1.8000 | 0.00170 | 0.00710 | 1.2 | 0 | 0 |
S2 | 1.0000 | 0.00250 | 0.00850 | 1 | 0 | 0 |
S3 | ∞ | 0.00000 | 0.01700 | 0.5 | 0 | 0.001 |
表3 算例2的流股数据
Table 3 Stream data of case 2
流股 | 最大流量/(kg·s-1) | 入口浓度/(kg NH3·kg-1) | 目标浓度/(kg NH3·kg-1) | m | b | C0 |
---|---|---|---|---|---|---|
R1 | 2.0000 | 0.00500 | 0.00100 | |||
R2 | 4.0000 | 0.00500 | 0.00250 | |||
R3 | 3.5000 | 0.01100 | 0.00250 | |||
R4 | 1.5000 | 0.01000 | 0.00500 | |||
R5 | 0.5000 | 0.00800 | 0.00250 | |||
S1 | 1.8000 | 0.00170 | 0.00710 | 1.2 | 0 | 0 |
S2 | 1.0000 | 0.00250 | 0.00850 | 1 | 0 | 0 |
S3 | ∞ | 0.00000 | 0.01700 | 0.5 | 0 | 0.001 |
文献 | 单元数 | 操作费用/(USD·a-1) | 投资费用/(USD·a-1) | TAC/(USD·a-1) |
---|---|---|---|---|
[ | 8 | 85203 | 48797 | 134000 |
[ | 7 | 82410 | 50913 | 133323 |
[ | 9 | 81301 | 48599 | 129900 |
[ | 8 | 73350 | 47367 | 120717 |
本文 | 9 | 77508 | 50299 | 127807 |
表4 算例2的结果对比
Table 4 Result comparison of case 2
文献 | 单元数 | 操作费用/(USD·a-1) | 投资费用/(USD·a-1) | TAC/(USD·a-1) |
---|---|---|---|---|
[ | 8 | 85203 | 48797 | 134000 |
[ | 7 | 82410 | 50913 | 133323 |
[ | 9 | 81301 | 48599 | 129900 |
[ | 8 | 73350 | 47367 | 120717 |
本文 | 9 | 77508 | 50299 | 127807 |
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