SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2008, Vol. 16 ›› Issue (1): 26-29.

• 评述 • 上一篇    下一篇

Batch-to-batch Optimization of Batch Crystallization Processes

Woranee Paengjuntuek, Paisan Kittisupakorn, Amornchai Arpornwichanop   

  1. Control and Systems Engineering Research Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
  • 收稿日期:2007-05-18 修回日期:2007-10-27 出版日期:2008-02-28 发布日期:2008-02-28
  • 通讯作者: Amornchai Arpornwichanop, E-mail: Amornchai.A@chula.ac.th

Batch-to-batch Optimization of Batch Crystallization Processes

Woranee Paengjuntuek, Paisan Kittisupakorn, Amornchai Arpornwichanop   

  1. Control and Systems Engineering Research Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
  • Received:2007-05-18 Revised:2007-10-27 Online:2008-02-28 Published:2008-02-28

摘要: It is the fact that several process parameters are either unknown or uncertain. Therefore, an optimal control profile calculated with developed process models with respect to such process parameters may not give an optimal performance when implemented to real processes. This study proposes a batch-to-batch optimization strategy for the estimation of uncertain kinetic parameters in a batch crystallization process of potassium sulfate production. The knowledge of a crystal size distribution of the product at the end of batch operation is used in the proposed methodology. The updated kinetic parameters are applied for determining an optimal operating temperature policy for the next batch run.

关键词: batch crystallization, batch-to-batch optimization, optimal control, population balance model, moment model

Abstract: It is the fact that several process parameters are either unknown or uncertain. Therefore, an optimal control profile calculated with developed process models with respect to such process parameters may not give an optimal performance when implemented to real processes. This study proposes a batch-to-batch optimization strategy for the estimation of uncertain kinetic parameters in a batch crystallization process of potassium sulfate production. The knowledge of a crystal size distribution of the product at the end of batch operation is used in the proposed methodology. The updated kinetic parameters are applied for determining an optimal operating temperature policy for the next batch run.

Key words: batch crystallization, batch-to-batch optimization, optimal control, population balance model, moment model