Academic Journal of Engineering and Technology Science, 2022, 5(1); doi: 10.25236/AJETS.2022.050110.
Haotian Hou, Han Shi
North China Electric Power University, Department of Foreign Studies, Baoding, Hebei, 071000, China
In this paper, the effects of catalyst combination and calcination temperature on the preparation of C4 olefin by alcohol coupling were quantitatively studied to find the suitable conditions of catalyst combination and temperature for the preparation of C4 olefin. Firstly, the relationship between variables was quantified by a grey comprehensive correlation degree. It was found that the correlation degree between ethanol conversion and C4 olefins selectivity was the closest on the whole. Then the influence of each factor on ethanol conversion was analyzed by ridge regression. Finally, a nonlinear model of C4 olefin yield was constructed from the perspective of ethanol and optimized by a particle swarm optimization algorithm. It was found that when the temperature was set below 350 degrees, the ethanol concentration of 2mL /min, 200mgHAP, 200mg 0. 5wt%Co/SIO2 and a bagging mode, C4 olefin yield was the highest, and the appropriate temperature was 300 degrees.
C4 Olefin, Grey Comprehensive Correlation Degree, Ridge Regression
Haotian Hou, Han Shi. Research on the Optimum Preparation of C4 Olefin by Ethanol Coupling. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 1: 49-52. https://doi.org/10.25236/AJETS.2022.050110.
 Zhang Fei, ZHANG Mingsen, Ke Li. Chemical reaction engineering and technology, 2008, 16(8): 30-37. (In Chinese)
 Zhu Baozhang. Systems engineering-theory & practice, 1994, 14(4): 52-60
 Yang Nan.The unique role of Ridge regression analysis in solving multicollinearity problems [J]. Statistics and Decision, 2004, 000(003): 14-15.
 Duan Xiaodong, WANG Cunrui, LIU Xiangdong. Particle Swarm Optimization and Its Application [M]. Liaoning University Press, 2007.