摘要
优化常减压蒸馏装置的操作参数可有效提升炼化企业的经济效益,但基于其严格机理模型进行迭代寻优将十分耗时。为降低计算成本,提出了一种基于Kriging代理模型的常压蒸馏系统操作参数智能优化方法。该方法采用Kriging元建模技术构造精馏过程中关键操作参数与主要输出变量间的关系模型,并以此关系模型代理复杂精馏系统的MESH方程组(包括物料守恒方程M、气液相平衡方程E、归一方程S、焓守恒方程H),在设计空间中采用粒子群优化(PSO)算法进行操作参数的全局智能搜索。所提方法不仅能够保证寻找到的操作参数全局最优,而且可以大幅减少求解的时间,具有十分明显的工程实用性。基于Aspen HYSYS的仿真试验结果验证了本研究所提方法的有效性和优越性。
Optimizing the operation parameters of atmospheric and vacuum distillation units can effectively improve the economic benefits of refineries,but it would be time-consuming if the optimization process was iteratively conducted with their rigorous mechanism model.In order to reduce the computational cost,Kriging surrogate-based intelligent method is proposed to optimize the operation parameters of an atmospheric distillation system in this paper.In detail,Kriging meta-modeling technology is adopted to construct the relationship model between some key operation parameters and output variables for the distillation process,and then the relationship model is used to represent the MESH equations of the complex distillation system.Moreover,employing particle swarm optimization(PSO)algorithm in the design space to conduct global intelligent search of operation parameters.The proposed method can not only ensure the global optimization of the operation parameters,but also greatly reduce the computing time when solving the problems.Simulation results,using Aspen HYSYS shows the effectiveness and superiority of our method and confirms its obvious engineering practicability.
作者
刘思乐
王修纲
吴静
李德豹
Liu Sile;Wang Xiugang;Wu Jing;Li Debao(Department of Chemical Engineering,Shenyang Institute of Science and Technology,Shenyang 110167;College of Chemistry and Chemical Engineering,Shanghai Jiao Tong University;College of Chemical Engineering,Shenyang University of Chemical Technology)
出处
《石油炼制与化工》
CAS
CSCD
北大核心
2020年第1期114-120,共7页
Petroleum Processing and Petrochemicals
关键词
复杂精馏系统
常压蒸馏系统
Kriging代理模型
粒子群优化
complex distillation system
atmospheric distillation system
Kriging surrogate model
particle swarm optimization
