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.
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.
[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.
