Optimization of C4 olefin preparation process based on control variables and simulated annealing algorithm

Abstract

The preparation of C4 olefins by catalytic coupling of ethanol is an important reaction in chemical production and pharmaceutical preparation industries. In the preparation process, the choice of catalyst combination and reaction temperature will affect the selectivity and yield of product C4 olefins. Under the principle of controlling variables, by classifying the experimental data, we studied the effects of various factors in the catalyst on ethanol conversion and C4 olefin selectivity, respectively. After completing the study of catalyst factors, it was found that 1wt% Co loading and 1:1 loading ratio were the most suitable conditions. From this quantitative relationship model, we established an optimization model with the C4 olefin yield as the objective function. During the solution process, due to the large amount of calculation and the complexity of the traditional solution method, we chose the simulated annealing algorithm. For this model, it is easier to find the global optimal solution. It was found that the yield of C4 olefins was the highest at 38.09% when the Co loading was 1wt%, the charging ratio was 1:1, the ethanol concentration was 0.76ml/min, and the temperature was 399.9214℃.