Dynamic Simulation of Reactive Separation Processes Using Hybrid Modeling Approaches

Abstract

In this paper, we examine hybrid modeling approaches for dynamic simulation of reactive
separation processes pertinent to fine chemical industry. Mechanistic and data-driven models are integrated
for simulative purposes within a reactive distillation column featuring an esterification unit. Simulation
results reveal substantial advancements in both accuracy and system’s dynamic response predictive modeling
when compared to older techniques. The methodology aids in process optimization as well as digital twin
development and real-time monitoring. This research brings attention to the efficiency and reliability
challenges in complex chemical systems and their potential solutions using hybrid modeling.