基于NSGA-Ⅲ多目标优化的丙烯高温氯化快速反应器研究

doi:10.11949/0438-1157.20240640

化工学报 ›› 2024, Vol. 75 ›› Issue (12): 4547-4554.DOI: 10.11949/0438-1157.20240640

• 催化、动力学与反应器 • 上一篇下一篇

基于NSGA-Ⅲ多目标优化的丙烯高温氯化快速反应器研究

李明¹^,²(), 韩路长³(), 罗和安³

^1.湖南工商大学资源环境学院，湖南长沙 410205
^2.碳中和与智慧能源湖南省重点实验室，湖南长沙 410205
^3.湘潭大学化工学院，湖南湘潭 411105

收稿日期:2024-06-07 修回日期:2024-07-02 出版日期:2024-12-25 发布日期:2025-01-03
通讯作者: 韩路长
作者简介:李明（1992—），男，博士，讲师，hxgclm@163.com
基金资助:
国家自然科学基金项目(22378340)

Research on rapid reactor for propylene high-temperature chlorination based on NSGA-Ⅲ multi-objective optimization

Ming LI¹^,²(), Luchang HAN³(), Hean LUO³

^1.School of Resource and Environment, Hunan University of Technology and Business, Changsha 410205, Hunan, China
^2.Hunan Provincial Key Laboratory of Carbon Neutrality and Intelligent Energy, Changsha 410205, Hunan, China
^3.School of Chemical Engineering, Xiangtan University, Xiangtan 411105, Hunan, China

Received:2024-06-07 Revised:2024-07-02 Online:2024-12-25 Published:2025-01-03
Contact: Luchang HAN

摘要/Abstract

摘要：

基于对丙烯高温氯化反应特性分析构建理想（IR）反应器模型和计算流体力学（CFD）反应器模型，并对反应动力学模型和反应器模型的准确性进行验证。以丙烯流量、氯气流量、丙烯预热温度、反应器体积作为决策变量，分别采用单目标算法和多目标优化算法对决策变量进行优化。结果表明多目标优化算法结果较好，更趋向于全局考虑，得到的5个决策参数分别为 $F_{C l_{2}}$ = 0.1 mol/s、 $F_{C_{3} H_{6}}$ = 0.6 mol/s、T_preheat = 347.0℃、V_CSTR = 0.0425 m³、V_PFR = 0.0173 m³，氯气与丙烯转化率分别为100%、17.26%，3-氯丙烯选择性为97.177%，出口温度为471.23℃。构建的IR反应器模型经多目标优化得到的反应参数及结果相比目前国内外工业数据具有较大优势，在反应器设计方面，丙烯/氯气摩尔比、物料预热温度等反应参数对工业应用具有理论指导意义。

关键词: 氯化反应, 3-氯丙烯, 反应器, 模拟, 优化, 丙烯

Abstract:

Based on the analysis of the characteristics of high-temperature chlorination reaction of propylene, ideal (IR) and computational fluid dynamics (CFD) models are constructed, and the accuracy of reaction kinetics model and reactor model is verified. Taking propylene flow rate, chlorine flow rate, propylene preheat temperature, CSTR (continuous stirred tank reactor) volume, and PFR (plug flow reactor) volume as decision variables, we optimized the reactor using both single-objective and multi-objective optimization algorithms. The results indicate that the multi-objective optimization algorithm yielded better outcomes, with a more comprehensive global consideration. The optimized values for the five decision parameters are: $F_{C l_{2}}$ = 0.1 mol/s, $F_{C_{3} H_{6}}$ = 0.6 mol/s, T_preheat = 347.0℃, V_CSTR = 0.0425 m³, and V_PFR = 0.0173 m³. The conversion rates of chlorine and propylene are 100% and 17.26%, respectively. The selectivity for 3-chloropropene is 97.177%, and the outlet temperature is 471.23°C. The reaction parameters and results obtained through multi-objective optimization of the IR reactor model exhibit significant advantages compared to current industrial data both domestically and internationally. These optimized parameters, such as reactor design, propylene/chlorine molar ratio, and material preheating temperature, provide theoretical guidance for industrial applications.

Key words: chlorination, allyl chloride, reactor, simulation, optimization, propylene

中图分类号:

TQ 322.4

李明, 韩路长, 罗和安. 基于NSGA-Ⅲ多目标优化的丙烯高温氯化快速反应器研究[J]. 化工学报, 2024, 75(12): 4547-4554.

Ming LI, Luchang HAN, Hean LUO. Research on rapid reactor for propylene high-temperature chlorination based on NSGA-Ⅲ multi-objective optimization[J]. CIESC Journal, 2024, 75(12): 4547-4554.

图/表 2

参考文献 30

1	谢勇, 段冲, 谢洪良. 中国环氧树脂行业“十四五”发展规划的建议[J]. 热固性树脂, 2022, 37(4): 61-64.
	Xie Y, Duan C, Xie H L. Suggestions for the 14th five-year plan of epoxy resin industry in China[J]. Thermosetting Resin, 2022, 37(4): 61-64.
2	王玉瑛, 曲茵. 环氧氯丙烷生产技术及国内市场分析[J]. 化学工业, 2022, 40(4): 88-91, 108.
	Wang Y Y, Qu Y. Production technology and domestic market analysis of epoxy chloropropane[J]. Chemical Industry, 2022, 40(4): 88-91, 108.
3	Groll H P A, Hearne G. Halogenation of hydrocarbons substitution of chlorine and bromine into straight-chain olefins[J]. Industrial & Engineering Chemistry, 1939, 31(12): 1530-1537.
4	Groll H P A, Hearne G, Rust F F, et al. Halogenation of hydrocarbons chlorination of olefins and olefin-paraffin mixtures at moderate temperatures induced substitution[J]. Industrial & Engineering Chemistry, 1939, 31(10): 1239-1244.
5	刘利. 丙烯高温氯化反应研究与反应器设计优化[J]. 中国氯碱, 2023(8):23-30.
	Liu L. Research on propylene high-temperature chlorination reaction and optimization of reactor design[J]. China Chlor-Alkali, 2023(8): 23-30.
6	Boozalis T S, Ivy J B, Willis G G. Allyl chloride process: US4319062[P]. 1982-03-09.
7	Muthusamy D. Process for preparing allyl chloride: US5118889[P]. 1992-06-02.
8	Miyazaki H, Hasegawa T, Kajimoto Y, et al. Process and device for production of allyl chloride: US5367105[P]. 1994-11-22.
9	Schindler H D, Sze M C, Herbert R. Production of allyl chloride: US3865886[P]. 1975-02-11.
10	Kinoshita M, Omoto N. Methods for producting allyl chloride and dichlorohydrin: WO2010JP06215[P]. 2024-07-03.
11	薄纯金, 王吉峰, 李胜军, 等. 一种氯丙烯的生产工艺: 103724155B[P]. 2015-08-19.
	Bo C J, Wang J F, Li S J, et al. A production process of allyl chloride: 103724155B[P]. 2015-08-19.
12	韩路长, 王新龙, 罗和安, 等. 一种适用于气-气快速反应的混合装置: 204429125U[P]. 2015-07-01.
	Han L C, Wang X L, Luo H A, et al. A mixing device for gas-gas fast reaction: 204429125U[P]. 2015-07-01.
13	Fujimoto K, Takashima H, Kunugi T. Oxychlorination of propylene on supported palladium and other platinum group metal catalysts[J]. Journal of Catalysis, 1976, 43(1): 234-242.
14	Potapov A M, Rafikov S R. Some mechanisms in catalytic direct and oxidative chlorination of propylene[J]. Preparative Organic Chemistry, 1986, 35(11): 2252-2256.
15	Miyake T, Hirakawa K, Hanaya M, et al. Method for producing allyl chloride: US5208399[P]. 1993-05-04.
16	Dianis W P. Production of allylic chlorides: US5262575[P]. 1993-11-16.
17	Miyake T, Hanaya M. Screening of metal chloride catalysts for oxychlorination of propene[J]. Applied Catalysis A: General, 1995, 121(1): L13-L17.
18	Li M, Han L C, Luo X, et al. The kinetics modeling and reactor simulation of propylene chlorination reaction process[J]. AIChE Journal, 2021, 67(10): 17341-1-17341-15.
19	Froment G F, Bischoff K B, Juray D W. Chemical Reactor Analysis and Design[M]. New York: Wiley, 1990.
20	Denbigh K G, Turner J C R. Chemical Reactor Theory[M]. 3rd ed. Cambridge: Cambridge University Press, 1985.
21	Wen C Y, Fan L T. Models for Flow Systems and Chemical Reactors[M]. New York: Marcel Inc, 1975.
22	Lakatos B G. Population balance model for mixing in continuous flow systems[J]. Chemical Engineering Science, 2008, 63(2):404-423.
23	Tirtowidjojo M M, Beckett P C, Baker J F. Process to make allyl chloride and reactor useful in that process: US5504266[P]. 1996-04-02.
24	Seider W D, Seader J D, Daniel R L. Product and Process Design Principles: Synthesis, Analysis, and Evaluation[M]. 2nd ed. New York: John Wiley & Sons Inc, 2004.
25	Schweidtmann A M, Clayton A D, Holmes N, et al. Machine learning meets continuous flow chemistry: automated optimization towards the Pareto front of multiple objectives[J]. Chemical Engineering Journal, 2018, 352: 277-282.
26	Deb K, Jain H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach(Part Ⅰ): Solving problems with box constraints[J]. IEEE Transactions on Evolutionary Computation, 2013, 18(4): 577-601.
27	Wang Y H, Chen C, Tao Y, et al. A many-objective optimization of industrial environmental management using NSGA-Ⅲ: a case of China's iron and steel industry[J]. Applied Energy, 2019, 242: 46-56.
28	Ishibuchi H, Imada R, Setoguchi Y, et al. Performance comparison of NSGA-Ⅱ and NSGA-Ⅲ on various many-objective test problems[C]//2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, BC, Canada: IEEE, 2016: 3045-3052.
29	Campos Ciro G, Dugardin F, Yalaoui F, et al. A NSGA-Ⅱ and NSGA-Ⅲ comparison for solving an open shop scheduling problem with resource constraints[J]. IFAC-PapersOnLine, 2016, 49(12): 1272-1277.
30	Jain H, Deb K. An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach(Part Ⅱ): Handling constraints and extending to an adaptive approach[J]. IEEE Transactions on Evolutionary Computation, 2013, 18(4):602-622.

编辑推荐 0

Metrics

阅读次数

全文

171

HTML			PDF

最新录用	在线预览	正式出版	最新录用	在线预览	正式出版
0	0	6	0	0	165

来源	本网站	其他网站

次数	29	142
比例	17%	83%

摘要

120

最新录用	在线预览	正式出版

0	0	120

来源	本网站	其他网站

次数	23	97
比例	19%	81%

[1]	任冠宇, 张义飞, 李新泽, 杜文静. 翼型印刷电路板式换热器流动传热特性数值研究[J]. 化工学报, 2024, 75(S1): 108-117.
[2]	杨勇, 祖子轩, 李煜坤, 王东亮, 范宗良, 周怀荣. T型圆柱形微通道内CO₂碱液吸收数值模拟[J]. 化工学报, 2024, 75(S1): 135-142.
[3]	黄俊豪, 庞克亮, 孙方远, 刘福军, 谷致远, 韩龙, 段衍泉, 冯妍卉. 干熄炉料钟结构对焦炭布料粒径均匀度影响的模拟研究[J]. 化工学报, 2024, 75(S1): 158-169.
[4]	董新宇, 边龙飞, 杨怡怡, 张宇轩, 刘璐, 王腾. 冷却条件下倾斜上升管S-CO₂流动与传热特性研究[J]. 化工学报, 2024, 75(S1): 195-205.
[5]	郭骐瑞, 任丽媛, 陈康, 黄翔宇, 马卫华, 肖乐勤, 周伟良. 用于HTPB推进剂浆料的静态混合管数值模拟[J]. 化工学报, 2024, 75(S1): 206-216.
[6]	李匡奚, 于佩潜, 王江云, 魏浩然, 郑志刚, 冯留海. 微气泡旋流气浮装置内流动分析与结构优化[J]. 化工学报, 2024, 75(S1): 223-234.
[7]	蒲黎明, 汪贵, 郑春来, 王科, 向腾龙, 王治红. 混合制冷级联天然气液化工艺优化及分析[J]. 化工学报, 2024, 75(S1): 267-275.
[8]	徐英宇, 杨国强, 彭璟, 孙海宁, 张志炳. 微界面高级氧化处理煤化工废水的研究[J]. 化工学报, 2024, 75(S1): 283-291.
[9]	王新月, 徐小虎, 张海洋, 尹春华. 维生素A醋酸酯/环糊精包合及性质研究[J]. 化工学报, 2024, 75(S1): 321-328.
[10]	汪张洲, 唐天琪, 夏嘉俊, 何玉荣. 基于复合相变材料的电池热管理性能模拟[J]. 化工学报, 2024, 75(S1): 329-338.
[11]	胡俭, 姜静华, 范生军, 刘建浩, 邹海江, 蔡皖龙, 王沣浩. 中深层U型地埋管换热器取热特性研究[J]. 化工学报, 2024, 75(S1): 76-84.
[12]	陈巨辉, 苏潼, 李丹, 陈立伟, 吕文生, 孟凡奇. 翅形扰流片作用下的微通道换热特性[J]. 化工学报, 2024, 75(9): 3122-3132.
[13]	李舒月, 王欢, 周少强, 毛志宏, 张永民, 王军武, 吴秀花. 基于CPFD方法的U₃O₈氢还原流化床反应器数值模拟[J]. 化工学报, 2024, 75(9): 3133-3151.
[14]	王军锋, 张俊杰, 张伟, 王家乐, 双舒炎, 张亚栋. 液相放电等离子体分解甲醇制氢：电极配置的优化[J]. 化工学报, 2024, 75(9): 3277-3286.
[15]	杨子驰, 谢冰琪, 石瑞莘, 雷虹, 陈晨, 周才金, 张吉松. 套管膜式微反应器内高效安全的气液传质-反应过程研究进展[J]. 化工学报, 2024, 75(9): 3011-3027.

基于NSGA-Ⅲ多目标优化的丙烯高温氯化快速反应器研究

Research on rapid reactor for propylene high-temperature chlorination based on NSGA-Ⅲ multi-objective optimization

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 2

参考文献 30

相关文章 15

编辑推荐 0

Metrics

本文评价