Optimization in seeded cooling crystallization: A parameter estimation and dynamic optimization study

被引：47

作者：

Nowee, S. Mostafa

Abbas, Ali

Romagnoli, Jose A. ^{[1
]}

机构：

[1] Louisiana State Univ, Dept Chem Engn, Baton Rouge, LA 70803 USA

[2] Univ Sydney, Sch Chem & Biomol Engn, Sydney, NSW 2006, Australia

[3] Nanyang Technol Univ, Sch Chem & Biomed Engn, Singapore, Singapore

来源：

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION | 2007年 / 46卷 / 11期

关键词：

crystallization; cooling; seeding; CSD; nucleation; growth; parameter estimation; dynamic optimization;

D O I：

10.1016/j.cep.2007.02.020

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this solution crystallization study, a population balance model that predicts the crystal size distribution (CSD) is used for targeting, by optimization, the product mean size and the coefficient of variation of the final CSD. The model is robust over a wide range of conditions and predicts the effects of heating during a batch since the kinetics of dissolution have been identified and incorporated into the model. The dynamic temperature profile and the initial seed size distribution are optimized while the initial seed induction time is conferred through knowledge of saturation conditions. This is quite a highly developed method that provides a systematic approach towards optimal operation. Results from optimizations under different objective functions are presented and validated experimentally. (c) 2007 Elsevier B. V. All rights reserved.

引用

页码：1096 / 1106

页数：11

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