Study on The Reaction Performance of C4 Olefins Based on Hierarchical Regression Model
Authors: Wang Xueting , Xi Kailong , Ma Yisha , Cheng Meina 
Published: October 2022

In daily life, olefins and their derivatives are widely used, at the same time, olefins has been widely used in chemical manufacturing and medicine production, the use of olefins in the global scope and use demand is growing, subject to the conditions of fossil energy decrease, explore greener, optimization of energy saving of olefins preparation technology is particularly important. In this paper, the reaction performance of catalyst combination and temperature for C4 olefin analysis by coupling ethanol was studied. For question 1, According on the experimental test results of 21 sets of different catalyst combinations or different catalyst loading methods given in Annex 1, For the various independent variables and the dependent variables in this question, Build a relationship model between the various variables, It was analyzed using a fitted interpolation prediction model, By using the data fitting algorithm and the linear regression model, The relationship between the ethanol conversion rate and temperature and the selectivity of C4 olefins and temperature was further analyzed; Using using fitting interpolation prediction model and data fitting algorithm for Annex 2, According to their image analysis, under the same experimental conditions, Effect of time on the reaction performance of the experiment. For problem 2, through comprehensive analysis of the data given in attachment 1 and attachment 2, according to the influence of different catalyst combination and temperature on the ethanol conversion rate and C4 olefins selective size, first using the control variable method for data stratification analysis, from the same catalyst combination different temperature, different catalyst combination, the same experimental conditions different catalyst loading way three levels. Hierarchy one uses quantitative analysis, hierarchy two uses the multivariate factor ANOVA model, and hierarchy three uses comparative analysis. Finally, the conclusion analysis of three levels is comprehensively discussed, and the influence degree of different catalyst combinations and temperature on ethanol conversion rate and C4 olefins selectivity is discussed. For problem 3, according to the Appendix: Interpretation of nouns and appendix description, the value of the C4 olefins yield is equal to the product of the ethanol conversion rate and the selectivity of the C4 olefins. About temperature, Co load, Co / SiO2Conduct multiple analysis of variance and weight, and then order the reaction performance of the four variables. The hierarchical regression model and linear regression model were established to develop the catalyst combination and temperature in the same experimental conditions below 350 degrees and the same experimental conditions. Aiming at problem 4, through the comparative analysis of all catalyst combinations and temperature scheme in Annex 1, find out the experimental group with a lack of control, using the control variable method and analogy reasoning to supplement the catalyst combination and temperature scheme, so as to improve the accuracy of the experimental data and enhance the reliability of the conclusion.