The Optimization And Simulation Research Of Xylene Isomerization Process

Xylene is a basic organic chemical materials, which is widely used in the industrial production. It playes an extremely important role in the national economy. In the process of xylene isomerization reaction, the quality and yield of the xylene are impacted by many factors. Many parameters are need to be considered to improve the yield of xylene. In order to get the greatest extent of the production potential in the process system, reduce the energy and material consumptions and obtain the biggest economic benefits, it is need to set up the virtual simulation platform of xylene isomerization process, which is used to carry out the theoretical research in the actual process.This paper is based on the mechanism of xylene isomerization reaction and separation process, and it’s combined with the industrial operation data. In the paper the process model of xylene isomerization reactor and separation system is established. According to the parameters estimation problem of the model the hybrid intelligent artificial fish algorithm is put forward. This paper proposes a algorithm of artificial fish bases on the hybrid intelligent. This algorithm takes the artificial fish swarm algorithm and particle swarm optimization parallel search method to seek in the global range. Using the simulated annealing algorithm in the artificial fish global optimization carrys out the local refining. The algorithm adopts the strategies of the search domain "narrow" and the gauss mutation to accelerate the global search. First this paper verifies the superiority of the new algorithm in global optimization problem, and then the new algorithm is used to optimize the parameters of xylene isomerization model, including the parameter optimization of the isomerization reactor, the optimal estimation of the tray efficiency factor and the optimization analysis of energy consumption. The comparison of the experimental data have proved that the improved optimization algorithm has a good optimization performance. It has the high application value in the field of process optimization.In this paper, based on the optimized steady-state model the the dynamic model of xylene isomerization separation process is set up, which is used to implement the dynamic adjustment and verify the stability of the dynamic model. The configuration software is made use of to render the simulation platform that displays and regulates the dynamic data.