Optimization of Ethanol Coupling to C4 Olefins Based on Regression Analysis

Abstract

C₄ olefin is a basic organic chemical raw material, and ethanol is the raw material for its production. In this paper, the effects of different catalyst combinations and temperatures on the target product were analyzed, and a mathematical model was established to explore better preparation conditions. In this paper, the conversion of ethanol and the selectivity of C₄ olefins were used as independent variables, respectively, and the temperature was used as a dependent variable to carry out correlation analysis, and the Pearson coefficient was higher. Then it is necessary to study whether there is a significant difference under different cross levels of different control variables (catalyst combination, temperature), and then to determine whether multiple factors have a significant impact on the observed variables. The yield of C₄ alkene was taken as the objective function, and the optimal model was established under the constraint condition. Firstly, the regression models were established with Co loading, Co/SiO₂ and HAP loading ratio, ethanol concentration and temperature as independent variables, and ethanol conversion and C₄ olefin selectivity as dependent variables.