Multi‐Optimization and Control of Four Component Batch Distillation

ABSTRACT This study addresses the high‐purity separation demands for specialty chemicals by designing separation strategies for a four‐component mixture based on a rigorous batch distillation (BD) model. A method is proposed that integrates a multi‐objective optimization algorithm with a PID temperature control structure, aiming to minimize equipment costs, energy consumption, and operational time while maximizing overall yield. The relationship between the decision variables and the objective functions was analyzed. The optimization of the constant reflux ratio model of the BD was performed using a multi‐objective optimization algorithm. Additionally, the optimal reflux curve under the variable reflux model was explored. Three typical case validations were used to demonstrate the significant advantages of this approach in improving operational strategies and equipment performance. The results show significant improvements in the number of trays, operating time, energy consumption, and yield optimization, providing a universal approach for solving BD synthesis problems.