Dynamic Modeling of Precipitation in Electrolyte Systems

TL;DR

This paper introduces a dynamic model for precipitation in electrolyte systems, combining equilibrium and crystallization kinetics to facilitate the transition from batch to continuous processes.

Contribution

A novel integrated dynamic model for electrolyte precipitation that includes population balance and dynamic equilibria, aiding process optimization and control.

Findings

Model predictions align well with experimental data

The approach supports process optimization in continuous systems

Enables advanced control strategies for crystallization processes

Abstract

This study presents a dynamic modeling approach for precipitation in electrolyte systems, focusing on the crystallization of an aromatic amine through continuous processes. A novel model, integrating equilibrium and crystallization kinetics, is formulated and applied to a continuous oscillatory baffled reactor. The approach assumes rapid equilibrium establishment and is formulated as a set of differential algebraic equations. Key features include a population balance equation model to describe the particle size distribution and the modeling of dynamically changing equilibria. The predictions of the dynamic model show good agreement with the available experimental measurements. The model is aimed at aiding the transition from a batch process to continuous process by forming the basis for numerical optimization and advanced control.