Optimization of a Reaction Distillation Column by Design Expert Method and Statistical Analysis of the Process

The reactive distillation system integrates both reaction and distillation processes in a single operation. When compared to conventional distillation methods, it has been identified as a more efficient system in terms of product yield and cost-effectiveness. This study investigates the effects of operational parameters, specifically feed rate, reflux ratio, and feed temperature, on the methyl acetate yield in a simulated reactive distillation column. Using a design expert approach, the interactions between these parameters and their effects on product yield were demonstrated through 3D graphical representations. Subsequently, optimization studies were conducted using experimental design techniques, resulting in optimized feed rate, reflux ratio, and feed temperature to maximize methyl acetate production. Relationships among variables deemed significant in the simulations were analyzed using three-dimensional graphs, allowing for insights into the process. Additionally, the results showed alignment between the product (methyl acetate) flow rate predictions from simulation and experimental design. The impact of input parameters on the resulting quadratic model was mathematically assessed, and statistical variance analysis (ANOVA) was calculated. As an innovative method in reactive distillation, statistically validated the model's suitability and achieved effective results in terms of yield optimization.