Academic Journal of Engineering and Technology Science, 2022, 5(7); doi: 10.25236/AJETS.2022.050703.
Qingqing Zhang1, Yongshuai Zhang2, Yiping Zhu2
1School of Tourism, Henan Institute of Animal Husbandry and Economics, Zhengzhou, Henan, 450046, China
2School of Energy and Intelligence, Henan Institute of Animal Husbandry and Economics, Zhengzhou, Henan, 450046, China
In view of the influence of different catalysts on the selectivity of C4 olefins and the yield of C4 olefins at different temperatures, based on the regression analysis method and the control variable method, the data were fitted and analyzed by MATLAB, and the principal component analysis method was established. Then, a nonlinear programming model was established and solved with the objective function of catalyst combination having the best performance, appropriate temperature, and C4 olefin yield as high as possible. Finally, the highest C4 olefin yield and the catalyst combination and temperature at this time were given.
Regression analysis, control variable method, principal component analysis method, MATLAB
Qingqing Zhang, Yongshuai Zhang, Yiping Zhu. Mechanism Modeling and Optimization Design of Ethanol Coupling to Prepare C4 Olefins. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 7: 12-18. https://doi.org/10.25236/AJETS.2022.050703.
 Zhao Tingting, Synthesis of mesoporous ZSM-5 molecular sieve and its application in catalyzing the preparation of light olefins from ethanol and oleic acid [D] Guangxi: Guangxi University 2019.
 Ye Feng, using MATLAB software for regression equation analysis and modeling, 2007.
 Jiang Qiyuan, Xie Jinxing, Ye Jun, Mathematical Model, 4th edition, Beijing Higher Education Press, 2011.
 Lv Shaopei. Preparation of butanol and C_4 alkenes by ethanol coupling [D]. Dalian University of Technology, 2018.