Simulation and optimization of separation section in methanol to olefin (MTO) process based on statistical approach

In this work, the aim is to find the optimal operating conditions of olefin production process. To achieve this, the methanol to olefin (MTO) process was investigated and optimized through Aspen-Hysys coupled with statistical approach. The MTO process is comprised of three sections, including reaction, conditioning, and separation section. The separation section consisted of three distillation columns. Central composite design was used to design of experimental layout and optimizing the performance of separation section. The statistical analysis was performed to screen the important operative factors. The effects of operative factors including column stages (A), reflux ratio (B), and pressure (C) on the distillation columns were investigated. Accordingly a statistical model was developed and was used for optimization the performance of separation section. Optimization was performed for each three units of separation section. Based on optimization procedure, the optimum condition of distillation columns were suggested. This may be used to propose the values of effective factors in operating the separation section.