面向产品分布协调的两段提升管催化裂解多目标优化

doi:10.11949/j.issn.0438-1157.20161595

化工学报 ›› 2017, Vol. 68 ›› Issue (3): 941-946.DOI: 10.11949/j.issn.0438-1157.20161595

面向产品分布协调的两段提升管催化裂解多目标优化

王平^1,2, 杨朝合², 田学民¹

1 中国石油大学(华东)信息与控制工程学院, 山东青岛 266580;
2 中国石油大学(华东)重质油国家重点实验室, 山东青岛 266580

收稿日期:2016-11-10 修回日期:2016-11-17 出版日期:2017-03-05 发布日期:2017-03-05
通讯作者: 田学民,tianxm@upc.edu.cn
基金资助:
国家自然科学基金项目（21606256）；山东省自然科学基金项目（ZR2016BQ14）；青岛市应用基础研究计划项目（16-5-1-10-jch）。

Multi-objective optimization of two-stage-riser catalytic pyrolysis for optimal trade-off in product distribution

WANG Ping^1,2, YANG Chaohe², TIAN Xuemin¹

1 College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, Shandong, China;
2 State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Qingdao 266580, Shandong, China

Received:2016-11-10 Revised:2016-11-17 Online:2017-03-05 Published:2017-03-05
Contact: 10.11949/j.issn.0438-1157.20161595
Supported by:
supported by the National Natural Science Foundation of China (21606256),the Natural Science Foundation of Shandong Province (ZR2016BQ14) and the Research Program of Application Foundation of Qingdao (16-5-1-10-jch).

摘要/Abstract

摘要：

根据两段提升管重油催化裂解过程工艺特点和经济运行要求，基于过程机理模型，考虑多种约束条件，构造了同时最大化丙烯、汽油产量以及最小化干气产量的多目标操作优化问题，并采用标准化法向约束方法求解获得了完整、均匀分布的Pareto最优解。仿真结果表明，多目标优化结果可以定量地描述出丙烯、汽油和干气收率间的最优折中，以及操作变量、约束条件对产品分布的影响，可以为过程优化操作提供指导。

关键词: 优化, 多目标, 操作优化, 模型, 过程系统

Abstract:

Based on process characteristics and operation economic demands of heavy oil catalytic pyrolysis in two-stage riser, a multi-objective optimization model, which attempted to maximize yields of propylene and gasoline as well as to minimize yield of dry gas simultaneously, was developed with consideration of process principle model and various constraints. The model was solved by a standardized normal constraint method to formulate a complete set of uniformly distributed Pareto-optimal solutions. Numerical simulations show that the multi-objective optimization could comprehensively and quantitatively describe optimal trade-off among yields of propylene, gasoline and dry gas, as well as influence of operation variables and constraints on product distribution, which could offer guidelines for optimal operation of TMP process.

Key words: optimization, multi-objective, optimal operation, model, process systems

中图分类号:

TE624

王平, 杨朝合, 田学民. 面向产品分布协调的两段提升管催化裂解多目标优化[J]. 化工学报, 2017, 68(3): 941-946.

WANG Ping, YANG Chaohe, TIAN Xuemin. Multi-objective optimization of two-stage-riser catalytic pyrolysis for optimal trade-off in product distribution[J]. CIESC Journal, 2017, 68(3): 941-946.

参考文献 30

[1]	HOLLADAY J D, HU J, KING D L, et al. An overview of hydrogen production technologies[J]. Catal. Today, 2009, 139(4):244-260.
[2]	王志喜, 王亚东, 张睿, 等.催化裂解制低碳烯烃技术研究进展[J].化工进展, 2013, 32(8):1818-1824. WANG Z X, WANG Y D, ZHANG R, et al. Advances of catalytic pyrolysis for producing light olefins[J]. Chemical Industry and Engineering Progress, 2013, 32(8):1818-1824.
[3]	李春义, 袁起民, 陈小博, 等. 两段提升管催化裂解多产丙烯研究[J]. 中国石油大学学报(自然科学版), 2007, 31(1):118-121. LI C Y, YUAN Q M, CHEN X B, et al. Maximizing yield of propylene by two-stage-riser catalytic pyrolysis of heavy oil[J]. Journal of China University of Petroleum (Edition of Natural Science), 2007, 31(1):118-121.
[4]	ENGELL S. Feedback control for optimal process operation[J]. J. Process. Contr., 2007, 17(3):203-219
[5]	CHAI T Y, QIN S J, WANG H. Optimal operational control for complex industrial processes[J]. Annu. Rev. Control., 2014, 38(1):81-92.
[6]	钟伟民, 祁荣宾, 杜文莉, 等. 化工过程运行优化研究进展[J]. 化学反应工程与工艺, 2014, 30(3):281-288. ZHONG W M, QI R B, DU W L, et al. An overview on chemical process operation optimization[J]. Chem. React. Eng. Techno., 2014, 30(3):281-288.
[7]	LI C Y, YANG C H, SHAN H H. Maximizing propylene yield by two-stage riser catalytic cracking of heavy oil[J]. Ind. Eng. Chem. Res., 2007, 46(14):4914-4920.
[8]	刘熠斌, 赵辉, 杨朝合, 等.催化裂解条件下丙烯的二次反应[J].中国石油大学学报, 2009, 33(3):153-157. LIU Y B, ZHAO H, YANG C H, et al. Secondary reaction of propylene under conditions of catalytic pyrolysis[J]. Journal of China University of Petroleum (Edition of Natural Science), 2009, 33(3):153-157.
[9]	魏晓丽, 毛安国, 张久顺, 等. 石脑油催化裂解反应特性及影响因素分析[J]. 石油炼制与化工, 2013, 44(7):1-6. WEI X L, MAO A G, ZHANG J S, et al. Study on reaction characteristics and influence factors of naphtha catalytic cracking[J]. Petroleum Processing and Petrochemicals, 2013, 44(7):1-6.
[10]	YUAN Z H, WANG P, YANG C H. Steady-state multiplicity analysis of two-stage-riser catalytic pyrolysis processes[J]. Comp. Chem. Eng., 2015, 73(6):49-63.
[11]	WANG P, TIAN X M, YANG C H, et al. Economics-oriented NMPC of two-stage-riser catalytic pyrolysis processes for maximizing propylene yield[J]. IFAC-Papers On-line, 2015, 48(8):32-37.
[12]	MARLER R T, ARORA J S. Survey of multi-objective optimization methods for engineering[J]. Struct. Multidiscip. O., 2004, 26(6):369-395.
[13]	李鸿亮, 陆金桂, 侯卫锋, 等. 基于混合遗传算法的催化重整过程多目标优化[J]. 化工学报, 2010, 61(2):432-438. LI H L, LU J G, HOU W F, et al. Multi-objective optimization based on hybrid genetic algorithm for naphtha catalytic reforming process[J]. CIESC Journal, 2010, 61(2):432-438.
[14]	WANG X, TANG L. Multiobjective operation optimization of naphtha pyrolysis process using parallel differential evolution[J]. Ind. Eng. Chem. Res., 2013, 52(40):14415-14428.
[15]	王平, 赵辉, 杨朝合. 基于多目标优化的两段提升管重油催化裂解自优化控制[J]. 化工学报, 2016, 67(8):3491-3498. WANG P, ZHAO H, YANG C H. Self-optimizing control based on multi-objective optimization for heavy oil catalytic pyrolysis in two-stage riser[J]. CIESC Journal, 2016, 67(8):3491-3498.
[16]	LIU Y B, CHEN X B, ZHAO H, et al. Establishment of kinetic model for catalytic pyrolysis of Daqing atmospheric residue[J]. Chinese. J. Chem. Eng., 2009, 17(1):78-82.
[17]	郭菊花. 重油两段催化裂解多产丙烯集总动力学模型的初步研究[D]. 青岛:中国石油大学, 2008. GUO J H. Primary study of the lumped kinetic model for heavy oil cracking into propylene by two-stage-riser technology[D]. Qingdao:China University of Petroleum, 2008.
[18]	王平, 赵辉, 杨朝合. 面向过程控制的两段提升管重油催化裂解动态建模[J]. 化工学报, 2016, 67(8):3499-3506. WANG P, ZHAO H, YANG C H. Process control oriented dynamic modeling for two-stage-riser catalytic pyrolysis of heavy oil[J]. CIESC Journal, 2016, 67(8):3499-3506.
[19]	MESSAC A, MATTSON C A. Generating well-distributed sets of Pareto points for engineering design using physical programming[J]. Optim. Eng., 2002, 3(4):431-450.
[20]	ARBEL A, HUANG Z, RINARD I H, et al. Dynamic and control of fluidized catalytic crackers(1):Modeling of the current generation of FCC's[J]. Ind. Eng. Chem. Res., 2002, 34(4):1228-1243.
[21]	PINHEIRO C I C, FERNANDES J L, DOMINGUES L, et al. Fluid catalytic cracking (FCC) process modeling, simulation, and control[J]. Ind. Eng. Chem. Res., 2012, 51(1):1-29.
[22]	罗雄麟, 袁璞, 林世雄. 催化裂化装置动态机理模型(Ⅱ):再生器部分[J]. 石油学报(石油加工), 1998, 14(2):61-65. LUO X L, YUAN P, LIN S X. Dynamic model of fluid catalytic cracking unit (Ⅱ):Regenerator section[J]. Acta Petrolei Sinica (Petroleum Processing Section), 1998, 14(2):61-65.
[23]	YUAN Z H, WANG P, YANG C H, et al. Systematic control structure evaluation of two-stage-riser catalytic pyrolysis processes[J]. Chem. Eng. Sci., 2015, 126(2):309-328.
[24]	MATTSON C A, MULLUR A A, MESSAC A. Smart Pareto filter:obtaining a minimal representation of multiobjective design space[J]. Optim. Eng., 2004, 36(6):721-740.
[25]	ANTIPOVA E, POZO C, GUILLÉN-GOSÁLBEZ G, et al. On the use of filters to facilitate the post-optimal analysis of the Pareto solutions in multi-objective optimization[J]. Comp. Chem. Eng., 2015, 74(3):48-58.
[26]	RANGAIAH G P, SHARMA S, SREEPATHI B K. Multi-objective optimization for the design and operation of energy efficient chemical processes and power generation[J]. Current Opinion in Chemical Engineering, 2015, 10(11):49-62.
[27]	WANG J J, JING Y Y, ZHANG C F, et al. Review on multi-criteria decision analysis aid in sustainable energy decision-making[J]. Renew. Sust. Energ. Rev., 2009, 13(9):2263-2278.
[28]	DEB K. Unveiling innovative design principles by means of multiple conflicting objectives[J]. Optim. Eng., 2003, 35(35):445-470.
[29]	SKOGESTAD S. Control structure design for complete chemical plants[J]. Comp. Chem. Eng., 2004, 28(1/2):219-234.
[30]	YUAN Z H, ZHANG N, CHEN B Z, et al. Systematic controllability analysis for chemical processes[J]. AIChE Journal, 2012, 58(10):3096-3109.

面向产品分布协调的两段提升管催化裂解多目标优化

Multi-objective optimization of two-stage-riser catalytic pyrolysis for optimal trade-off in product distribution

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价

[1]	杨欣, 王文, 徐凯, 马凡华. 高压氢气加注过程中温度特征仿真分析[J]. 化工学报, 2023, 74(S1): 280-286.
[2]	宋嘉豪, 王文. 斯特林发动机与高温热管耦合运行特性研究[J]. 化工学报, 2023, 74(S1): 287-294.
[3]	连梦雅, 谈莹莹, 王林, 陈枫, 曹艺飞. 地下水预热新风一体化热泵空调系统制热性能研究[J]. 化工学报, 2023, 74(S1): 311-319.
[4]	金正浩, 封立杰, 李舒宏. 氨水溶液交叉型再吸收式热泵的能量及分析[J]. 化工学报, 2023, 74(S1): 53-63.
[5]	王浩, 王振雷. 基于自适应谱方法的裂解炉烧焦模型化简策略[J]. 化工学报, 2023, 74(9): 3855-3864.
[6]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[7]	齐聪, 丁子, 余杰, 汤茂清, 梁林. 基于选择吸收纳米薄膜的太阳能温差发电特性研究[J]. 化工学报, 2023, 74(9): 3921-3930.
[8]	李科, 文键, 忻碧平. 耦合蒸气冷却屏的真空多层绝热结构对液氢储罐自增压过程的影响机制研究[J]. 化工学报, 2023, 74(9): 3786-3796.
[9]	何松, 刘乔迈, 谢广烁, 王斯民, 肖娟. 高浓度水煤浆管道气膜减阻两相流模拟及代理辅助优化[J]. 化工学报, 2023, 74(9): 3766-3774.
[10]	邢雷, 苗春雨, 蒋明虎, 赵立新, 李新亚. 井下微型气液旋流分离器优化设计与性能分析[J]. 化工学报, 2023, 74(8): 3394-3406.
[11]	陈国泽, 卫东, 郭倩, 向志平. 负载跟踪状态下的铝空气电池堆最优功率点优化方法[J]. 化工学报, 2023, 74(8): 3533-3542.
[12]	李锦潼, 邱顺, 孙文寿. 煤浆法烟气脱硫中草酸和紫外线强化煤砷浸出过程[J]. 化工学报, 2023, 74(8): 3522-3532.
[13]	郑玉圆, 葛志伟, 韩翔宇, 王亮, 陈海生. 中高温钙基材料热化学储热的研究进展与展望[J]. 化工学报, 2023, 74(8): 3171-3192.
[14]	刘文竹, 云和明, 王宝雪, 胡明哲, 仲崇龙. 基于场协同和耗散的微通道拓扑优化研究[J]. 化工学报, 2023, 74(8): 3329-3341.
[15]	于旭东, 李琪, 陈念粗, 杜理, 任思颖, 曾英. 三元体系KCl + CaCl₂ + H₂O 298.2、323.2及348.2 K相平衡研究及计算[J]. 化工学报, 2023, 74(8): 3256-3265.