柴油加氢双塔分馏系统模拟与多目标优化

Simulation and multi-objective optimization of diesel hydrogenation two-column fractionation system

采用ASPEN Plus软件建立柴油加氢双塔分馏系统机理模型,在此基础之上,以汽油终馏点、柴油95%馏出温度、汽提塔塔底含硫量三个质量指标为约束,以重沸炉出口温度、汽提蒸汽量、分馏塔进料温度等8个可调参数为操作变量,建立了汽柴油总产值最大和系统能耗最小为同步优化目标的多目标优化模型。采用多目标列队竞争算法求解该模型,得到该模型的Pareto最优解集。根据Pareto解所对应各方案的产品分布情况,可确定不同优化方案下的操作参数。本文所提出的方法对柴油加氢双塔分馏系统的操作优化与节能具有参考意义。

The mechanism model of the diesel-hydrogenation two-tower fractionation system was established by using Aspen Plus. On this basis, a multi-objective optimization model with simultaneous optimization of gasoline and diesel gross output and system energy consumption was established, in which the gasoline final boiling point, the 95% distillation temperature of diesel, and the sulfur content in the bottom of stripper tower were adopted as quality constraints, and eight operation parameters such as reboiler outlet temperature, steam stripping volume, fractionating column feed temperature used as operating variables. The multi-objective line-up competition algorithm （MOLCA） is introduced to obtain the Pareto front of the proposed model. According to the product distribution of each Pareto solution, the operation parameters of different optimization schemes can be determined. The method presented in this paper can be used as a reference for the operation optimization and energy saving of the diesel hydrogenation two-column fractionation system.