Mathematical model and advanced control for gas-phase olefin polymerization in fluidized-bed catalytic reactors
Document Type
Article
Publication Date
1-1-2008
Abstract
In this study, the developments in modeling gas-phase catalyzed olefin polymerization fluidized-bed reactors (FBR) using Ziegler-Natta catalyst is presented. The modified mathematical model to account for mass and heat transfer between the solid particles and the surrounding gas in the emulsion phase is developed in this work to include site activation reaction. This model developed in the present study is subsequently compared with well-known models, namely, the bubble-growth, well-mixed and die constant bubble size models for porous and non porous catalyst. The results we obtained from the model was very close to the constant bubble size model, well-mixed model and bubble growth model at the beginning of the reaction but its overall behavior changed and is closer to the well-mixed model compared with the bubble growth model and constant bubble size model after half an hour of operation. Neural-network based predictive controller are implemented to control the system and compared with the conventional PID controller, giving acceptable results.
Keywords
control system, dynamic studies, fluidized-bed reactor, mathematical model, olefin polymerization, Chemical activation, Fluidized beds, Heat transfer, Mass transfer, Mathematical models, Polymerization, Fluidized bed reactor, Olefins.
Divisions
fac_eng
Publication Title
Chinese Journal of Chemical Engineering
Volume
16
Issue
1
Publisher
Chinese Journal of Chemical Engineering
Additional Information
272SG Times Cited:4 Cited References Count:12