乙醇偶合制备C4烯烃的最优决策

In order to investigate the effects of catalyst and temperature combinations on the conversion of ethanol and the selectivity and yield of C4 olefins as well as the optimal catalyst and temperature combinations for the coupled preparation of C4 olefins from ethanol, the correlation between the factors was investigated by correlation analysis and gray correlation analysis, and a multiple quadratic interaction regression model and a decision tree model were established for the analysis, and finally the target decision was made. The analysis shows that temperature, Co loading, Co/SiO2 and HAP charging ratio, ethanol addition rate and ethanol conversion as well as C4 olefin selectivity and yield are strongly correlated; the decision tree model has a serious overfitting problem, while the multiple quadratic interaction regression model has a better fitting effect, so the results of the multiple quadratic interaction regression model are used for further target optimization; for For charging method A, if only the yield of C4 olefin is considered, the highest yield of C4 olefin can be achieved at a temperature of 450 C, Co loading of 5 wt%, Co/SiO2 and HAP loading ratio of 1.34:1, and ethanol addition rate of 0.55 ml/min, and the highest yield of 86.06% can be achieved for charging method B, which requires the addition of Co loading, Co/SiO2 and HAP loading ratio. HAP loading ratio of both were tested to better analyze and draw conclusions.