基于全流程模拟的催化裂化装置多目标优化

doi:10.12034/j.issn.1009-606X.217249

过程工程学报 ›› 2018, Vol. 18 ›› Issue (2): 324-329.DOI: 10.12034/j.issn.1009-606X.217249CSTR: 32067.14.jproeng.217249

基于全流程模拟的催化裂化装置多目标优化

冯焱伟1，王伟²，汪坤²，涂安斌²，史彬¹，鄢烈祥^1*

1. 武汉理工大学化学化工与生命科学学院，湖北武汉 430070；2. 中国石油化工股份有限公司武汉分公司，湖北武汉 430082

收稿日期:2017-05-31 修回日期:2017-07-17 出版日期:2018-04-22 发布日期:2018-04-10
通讯作者: 鄢烈祥 hgxtgc@163.com
基金资助:
国家自然科学基金青年项目

Multi-objective Optimization Based on Simulation of Overall Fluid Catalytic Cracking System

Yanwei FENG¹, Wei WANG², Kun WANG², Anbin TU², Bin SHI¹, Liexiang YAN^1*

1. School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, Hubei 430070, China; 2. Sinopec Wuhan Company, Wuhan, Hubei 430082, China

Received:2017-05-31 Revised:2017-07-17 Online:2018-04-22 Published:2018-04-10
Contact: Lie-xiang YAN hgxtgc@163.com

摘要/Abstract

摘要： 应用流程模拟软件Petro SIM对催化裂化装置进行了全流程模拟，采用平均影响因子法从15个独立可调的变量中筛选出7个影响产品分布的主要优化变量，以各产品质量指标为约束，建立了液化石油气和汽油产量最大化的双目标优化模型，应用多目标列队竞争算法对该优化模型求解，所得Pareto最优解集揭示了液化石油气、汽油和柴油产量的分布规律. 根据市场对不同产品需求的变化，确定了5种优化操作方案，调整催化裂化装置的多产品方案.

关键词: 催化裂化, 全流程模拟, 平均影响因子方法, 多目标列队竞争算法, 多目标最优化, 多产品方案

Abstract: A process modeling software Petro SIM was used to create an overall simulation of fluid catalytic cracking (FCC) system. Based on the simulation, 7 key variables that affect the distribution of the FCC product were filtered from 15 independent manipulated variables by the mean impact value (MIV) method. Under the premise of ensuring product quality, a multi-objective model of maximizing the mass flow rate both of liquefied petroleum gas (LPG) and gasoline was built. Multi-objective line-up competition algorithm (MOLCA) was applied to solve the optimal problem and then the Pareto front was obtained which revealed the interactional law of LPG, gasoline and diesel mass flow rate. Depending on the market requirement for different products, optimal operation conditions were proposed for optimizing operation and product distribution in FCC system.

Key words: FCC system, overall process simulation, MIV method, MOLCA, multi-objective optimization, multi-product plan

冯焱伟王伟汪坤涂安斌史彬鄢烈祥. 基于全流程模拟的催化裂化装置多目标优化[J]. 过程工程学报, 2018, 18(2): 324-329.

Yanwei FENG Wei WANG Kun WANG Anbin TU Bin SHI Liexiang YAN. Multi-objective Optimization Based on Simulation of Overall Fluid Catalytic Cracking System[J]. Chin. J. Process Eng., 2018, 18(2): 324-329.

参考文献

[1] 刘蕾, 赵众, 陶兴文, 等. 催化裂化反应再生系统的建模与优化[J]. 石油化工自动化, 2009, 45(5): 26-30.
[2] 周璟, 楚纪正, 姜浩. 催化裂化反应-再生系统机理建模的研究[J]. 炼油技术与工程, 2011, 41(2): 18-25.
[3] 王凯凯. 催化裂化装置反应再生系统操作参数优化[D].大连理工大学,2015.
[4] 李小军, 闫霖, 孙立军, 等. FCC-SIM 软件在催化装置上的应用[J]. 齐鲁石油化工, 2012, 40(1): 86-88.
[5] 赵新强. 催化裂化装置模拟及优化[D]. 天津大学, 2012.
[6] Jia C, Rohani S, Jutan A. FCC unit modeling, identification and model predictive control, a simulation study[J]. Chemical Engineering and Processing: Process Intensification, 2003, 42(4): 311-325.
[7] Petro-SIM User Guide. KBC Advanced Technologies, KBC PROFIMATIC.
[8] 崔智全, 付旭云, 钟诗胜, 等. 小波网络平均影响值的航空发动机自变量筛选[J]. 计算机集成制造系统, 2013, 19(12): 0-0..
[9] Jang W H, Hahn J, Hall K R. Genetic/quadratic search algorithm for plant economic optimizations using a process simulator[J]. Computers & chemical engineering, 2005, 30(2): 285-294.
[10] Kim H, Kim I H, Yoon E S. Multi-objective design of calorific value adjustment process using process simulators[J]. Industrial & Engineering Chemistry Research, 2010, 49(6): 2841-2848.
[11] 鄢烈祥. 化工过程分析与综合[M]. 北京：化学工业出版社, 2010.74-79.
[12] Yan L, Ma D. Global optimization of non-convex nonlinear programs using line-up competition algorithm[J]. Computers & Chemical Engineering, 2001, 25(11): 1601-1610.
[13] Yan L, Shen K, Hu S. Solving mixed integer nonlinear programming problems with line-up competition algorithm[J]. Computers & chemical engineering, 2004, 28(12): 2647-2657.
[14] 刘海燕, 潘欣, 廖安, 等. 基于 LCA 与 NSGA-II 的混合算法解多目标优化问题[J]. 计算机与应用化学, 2014, 31(012): 1461-1466.
[15] 黄冀卓, 王湛. 基于遗传算法的抗震钢框架多目标优化设计[J]. 力学学报, 2007, 23(3): 389-397.

基于全流程模拟的催化裂化装置多目标优化

Multi-objective Optimization Based on Simulation of Overall Fluid Catalytic Cracking System

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics

[1]	卢玲玲王凤王慧公茂明张香平. 催化裂化工业再生器底部气流分布与优化[J]. 过程工程学报, 2024, 24(7): 763-771.
[2]	刘彪姚秀颖孟振亮刘梦溪. 高低并列式重油催化裂化汽提器挡板的结构优化[J]. 过程工程学报, 2022, 22(1): 22-31.
[3]	陈帅甫王建军金有海. 烟气轮机叶片表面颗粒沉积粘附模型[J]. 过程工程学报, 2018, 18(3): 447-453.
[4]	车晓锐张宗旺张宏博. 高炉多目标优化模型的建立及验证 [J]. , 2017, 17(1): 178-182.
[5]	陈昇闫子涵王维范怡平卢春喜. 提升管进料射流对气固两相流动混合的影响[J]. 过程工程学报, 2016, 16(4): 556-564.
[6]	李晨范怡平贾海兵黄世平范瀚文. 提升管反应器中颗粒浓度径向分布的力学特性[J]. 过程工程学报, 2016, 16(4): 541-548.
[7]	王钊闫子涵范怡平卢春喜王子健吕卓强. 新型催化裂化提升管进料段内原料射流浓度分布的大型冷模实验研究[J]. 过程工程学报, 2016, 16(1): 34-40.
[8]	程兆龙姚秀颖鄂承林卢春喜. 带隔流筒旋流快分系统新型工业催化裂化沉降器内气相流场的数值模拟[J]. 过程工程学报, 2016, 16(1): 1-9.
[9]	闫子涵秦小刚陈昇范怡平卢春喜. 油剂逆流接触提升管进料段固含率及颗粒速度的径向分布[J]. , 2014, 14(5): 721-729.