Multiscale modeling, simulation and validation of batch cooling crystallization

This study investigates issues relating to the modeling of the batch cooling crystallization process. A systems model is presented where at the microscale, a population balance model is used and solved numerically with the aim of predicting end-product properties under the effect of different cooling conditions affected by mesoscale fluid heat transfer and macroscale flow/temperature control. Model validation is carried out experimentally. Technical issues arising from these implementations including the aspects of the numerical solution, generalization of the crystal size domain and connectivity with an advanced distributed control system are discussed and results presented. The model is proposed for applications as a soft-sensor for the prediction of the crystal size and in the design of the model-based control scheme. This paper presents an environment for advanced simulation and operation of crystallization processes. This environment supports the ultimate challenge of crystallization which is control towards efficient separations and purifications.