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

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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.

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	冯焱伟王伟汪坤涂安斌史彬鄢烈祥

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

收稿日期: 2017-05-31 出版日期: 2018-04-10

基金资助:国家自然科学基金青年项目

通讯作者: 鄢烈祥 E-mail: hgxtgc@163.com

引用本文:

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. Chin. J. Process Eng., 2018, 18(2): 324-329.

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http://www.jproeng.com/CN/10.12034/j.issn.1009-606X.217249 或 http://www.jproeng.com/CN/Y2018/V18/I2/324

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