Process Simulation And Optimization Of Atmospheric And Vacuum Distillation Unit

Aspen HYSYS was used as developmental platform, a mechanism model based on petroleum refinery'design data has been built. Combined with the operation data, the model parameter can be revised for different steady-state models were used. The simulation results show that the predicted deviation can meet the requirement of the industry.Since the convergence of standard PSO was insufficient to the optimization of atmospheric tower operation parameters. A control factor being obtained by chemical prior knowledge was introduced into the formula to updating particle's velocity, which was used to adjust the particle's position to improve the input variables of model. The dry point of ASTM of four products can meet the technological requirements. The improved PSO was used to optimize atmospheric tower parameter, such as feed temperature of atmospheric tower, feed flow of steam and side-products of atmospheric tower such 15 variables as the control variables, and in the condition of the dry point of ASTM of four products meeting the technological requirements, the biggest naphtha, kerosene, diesel output and minimum energy consumption can be obtained. Through the simulation experiments, compared with the standard PSO, the improved PSO could obtain operating parameters which was better than the current state of atmospheric in shorter time. And in the same iterations, the improved PSO can obtain better operation parameters.Aspen HYSYS dynamic was used as developmental platform, a dynamic model of the atmospheric tower was built. From the realistic condition to optimize operating condition, the dynamic variation of the key variable was studied to make a reference for optimization of the refinery.