Study on the process conditions of C4 olefin preparation based on statistical method

Abstract

Due to the wide application of C4 olefins, it is of profound research significance and important value to explore the process conditions for the preparation of C4 olefins by catalytic coupling of ethanol. This paper calculates and analyzes the data generated in the C4 olefin preparation process by establishing a mathematical model and provides targeted suggestions based on statistical methods. First, one-dimensional linear regression was used to analyze the relationship between ethanol conversion, C4 olefin selectivity and temperature so as to obtain the regression coefficients of each group and test their significance; Secondly, SPSS is used for matrix scatter plot to observe the linear trend and spearman correlation coefficient is used for correlation analysis. Hypothesis test is conducted to draw relevant conclusions; Then the fuzzy synthesis is used to draw the conclusion that the catalyst has a greater impact on the reaction. Finally, the neural network is used to train the data and arrange them to obtain all the combination of catalyst and temperature. It is obtained that at 400°C, the combination of "200mg 2wt% Co/SiO2-200mg HAP ethanol concentration 2.1ml/min" can obtain 45.259% of the maximum C4 olefin yield without limiting the temperature; If the temperature is lower than 350°C, the catalyst is "50mg 5wt% Co/SiO2-50mg HAP ethanol concentration 0.3ml/min" and the temperature is 275°C. The maximum C4 olefin yield is 30.75%.