Study on the optimal process scheme for the selectivity of C4 olefins based on correlation analysis and linear regression

Abstract

C4 olefins play an important role in the production of chemical products and medicine, and ethanol is used as the raw material for the preparation of C4 olefins in this paper. the catalyst combination and temperature will have an effect on the selectivity of C4 olefins and the yield of C4 olefins. This paper mainly studies the optimal scheme of C4 olefin selectivity, which is solved by correlation analysis. In this paper, a correlation analysis model based on Pearson correlation coefficient was established to determine the selective linear regression of temperature to ethanol conversion and C4 olefins, which conformed to the first-order linear regression model. Then using SPSS software under different catalyst conditions, it is concluded that the conversion of ethanol at temperature and the selectivity of C4 olefins accord with the first linear relationship of positive convergence. Then, by making a scatter diagram, the changing trend of the selectivity of each product is determined, and a reasonable regression is carried out to determine the changing trend of the selectivity of each product with time. Then a control model based on the method of control variables was established. First, the data were preprocessed to separate different types of catalysts in the catalyst combination. The effects of Co loading, Co/SiO2 content and ethanol concentration on ethanol conversion and C4 olefin selectivity were removed by control variable method, and a partial correlation model was established to supplement and improve the control model based on control variable method. The effects of HAP content, the quartz sand content, Co/SiO2 and HAP loading ratio on ethanol conversion and C4 olefin selectivity were determined.