Research based on optimization model of C4 olefins preparation

Abstract

In this paper,through the design of catalyst combination and temperature control,a mathematical model was established to explore the process of ethanol catalytic coupling to produce C4 olefins.Firstly,according to the data in the attachment,temperature was taken as the main variable,and ethanol conversion rate and C4 olefins selectivity were taken as dependent variables to solve the binary regression function. Then,ethanol conversion rate and C4 olefins selectivity were imported into the model as master columns.It was found that temperature had the greatest influence on ethanol conversion and C4 olefins selectivity.Then the BP neural network model was constructed,and different catalyst combinations and temperature data were substituted.Through analysis,the maximum yield of C4 olefin was 53.58%,the filling ratio was 0.49,the Co loading was 2,the ethanol adding rate was 0.3,and the temperature was 450℃.Finally,considering the highest C4 olefin yield as the starting point,additional control experiments were set from the perspectives of whether to use HAP-ethanol,adjacent temperature,ethanol addition rate,Co loading capacity and charging ratio,respectively,to verify the rationality of the neural network model.