Thermodynamic Analysis and Process Optimization of Organosilicon Distillation Systems

Abstract

The technical barrier of organosilicon production mainly lies in the separation of crude monomers, which has low product purity and high energy consumption. A novel light component distillation process was proposed in this work. Based on the root mean square deviation and the average absolute deviation models, Willson was selected as the thermodynamic model. Taking the total annual cost and gas emissions as the objective function, the traditional distillation process and light component distillation process were improved simultaneously by multi-objective optimization based on the non-dominated sorting genetic algorithm II. Furthermore, based on the results of exergy analysis and heat exchange network analysis, the heat matching between cold and heat flows is carried out to achieve the optimization of energy. The results show that the total annual cost and gas emissions of the improved distillation process are reduced by more than 50% compared with the basic distillation process. The total annual cost and gas emissions of the improved light component distillation process were reduced by 13.28% and 4.47% compared with the improved traditional distillation process, respectively. Comprehensive consideration, the improved light component distillation process has excellent economic and environmental performance, which is of great significance to the efficient separation of organosilicon.