International Journal of Frontiers in Engineering Technology, 2022, 4(5); doi: 10.25236/IJFET.2022.040510.
Xingyu Li
Shenyang University of Chemical Technology, Shenyang, Liaoning, China
C4 olefins are widely used in the production of chemical products and medicine. Ethanol is the raw material for the production of C4 olefins. Traditional production methods use fossil energy as raw materials. The purpose of this paper is to explore the selection of catalyst combination and temperature for the preparation of C4 olefins by ethanol catalytic coupling. Firstly, correspondence analysis model was used to explore the relationship between ethanol conversion, C4 olefin selectivity and temperature. It is concluded that the ethanol conversion and C4 olefin selectivity increase with the increase of temperature. Then, the multivariable regression method is used to solve the relationship between multiple independent variables and multiple dependent variables through the partial least square method. Different catalyst combinations and temperatures are analyzed to obtain the regression equation of ethanol conversion and C4 olefin selectivity. The effects of different catalyst combinations and temperatures on ethanol conversion and C4 olefin selectivity are intuitively observed. Temperature, solution quality and HAP are positively correlated, Co/SiO2 and ethanol concentrations were negatively correlated with them.
C4 olefin selectivity; Ethanol conversion; Partial least square method
Xingyu Li. Study on Influencing Factors of Ethanol Catalytic Coupling Process Based on Multivariable Regression. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 5: 59-63. https://doi.org/10.25236/IJFET.2022.040510.
[1] LV Shaopei Preparation of butanol and by ethanol coupling C4 olefins [D] Dalian University of technology, 2018.
[2] Si Shoukui Mathematical modeling algorithm and application [M] Beijing: National Defense Industry Press, 2011.
[3] Dong Changhong Edited Matlab neural network and application Beijing: National Defense Industry Press, 2007 9: 1-13.
[4] Ma Lin Wang Xin Xinwei Estimation method and application of equipment development cost based on partial least squares regression analysis Journal of Naval Academy of Aeronautical Engineering, 2015, issue 4.