Study on Ethanol Coupling Reaction Based on Regression Algorithm and Spearman Rank Correlation Coefficient

Abstract

C4 olefins are widely used. Ethanol is a clean energy for the preparation of C4 olefins. It is of great practical significance to study the preparation of C4 olefins by ethanol. However, different regulation conditions have different ethanol conversion and C4 olefin selectivity in the current C4 olefin preparation process, which affects the industrial production efficiency. In this paper, the effects of different initial conditions and temperatures on the preparation of C4 olefins from ethanol were studied by means of least square fitting and Spearman correlation coefficient. For the relationship between ethanol conversion[1], C4 olefin selectivity and temperature, firstly, taking temperature as independent variable and ethanol conversion and C4 olefin selectivity as dependent variable, the equation is obtained by least square fitting, and then combined with the Spearman correlation coefficient of temperature, conversion and selectivity, it is found that the conversion and selectivity increase with the increase of temperature. It was found that the yield of C4 olefins decreased with the increase of reaction time. Then, the effects of combination and temperature on ethanol conversion and C4 olefin selectivity were analyzed by combining random forest regression algorithm and Spearman correlation coefficient. It was found that temperature had an important effect on the conversion of ethanol and the selectivity of C4 olefins[2]; Through the latter, the direction of influence is judged. It is found that the increase of temperature promotes the reaction, and the increase of ethanol concentration will affect the ethanol conversion and C4 olefin selectivity, but the loading mode has no effect on both.