能源化学(英文) ›› 2013, Vol. 22 ›› Issue (4): 633-638.

• Articles • 上一篇    下一篇

Optimal operating conditions of radial flow moving-bed reactors for isobutane dehydrogenation

M. Farsi, A. Jahanmiri, M. R. Rahimpour   

  1. Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71345, Iran
  • 收稿日期:2012-05-21 修回日期:2012-07-15 出版日期:2013-07-20 发布日期:2013-07-27
  • 通讯作者: A. Jahanmiri

Optimal operating conditions of radial flow moving-bed reactors for isobutane dehydrogenation

M. Farsi, A. Jahanmiri, M. R. Rahimpour   

  1. Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71345, Iran
  • Received:2012-05-21 Revised:2012-07-15 Online:2013-07-20 Published:2013-07-27

摘要: In this study, radial flow moving bed reactors for isobutane dehydrogenation have been modeled and simulated heterogeneously based on mass and energy conservation laws. The considered reaction networks in the model are isobutene dehydrogenation as main reaction, and hydrogenolysis, propane dehydrogenation as well as coke formation as side reactions that all occur on the catalyst surface. Then, the process condition has been optimized to produce more isobutene under steady state condition. To prove the accuracy of the considered mathematical model and assumptions, simulation results are compared with the plant data. As a powerful method in the global optimization, the genetic algorithm has been used to optimize the considered objective function. The isobutane conversion and isobutene selectivity under optimal conditions are about 40.1% and 91%, respectively.

关键词: isobutane dehydrogenation, radial flow reactor, heterogeneous modeling, optimization

Abstract: In this study, radial flow moving bed reactors for isobutane dehydrogenation have been modeled and simulated heterogeneously based on mass and energy conservation laws. The considered reaction networks in the model are isobutene dehydrogenation as main reaction, and hydrogenolysis, propane dehydrogenation as well as coke formation as side reactions that all occur on the catalyst surface. Then, the process condition has been optimized to produce more isobutene under steady state condition. To prove the accuracy of the considered mathematical model and assumptions, simulation results are compared with the plant data. As a powerful method in the global optimization, the genetic algorithm has been used to optimize the considered objective function. The isobutane conversion and isobutene selectivity under optimal conditions are about 40.1% and 91%, respectively.

Key words: isobutane dehydrogenation, radial flow reactor, heterogeneous modeling, optimization