Zhen Jia, Dingjin Liu
Zhengzhou Institute of Technology, Zhengzhou, Henan, 450044, China
Ethanol molecules can be prepared by biomass fermentation, with a wide range of sources, green and clean. Using ethanol as a platform to produce high value-added and C4 olefins has great application prospects and economic benefits have attracted wide attention at home and abroad. In this paper, considering the combination of each group of catalysts, the relationship between ethanol conversions, that is, the selectivity of C4 olefins was explored, and the regression model was used to establish it. The data in the table were screened and solved by MATLAB program, and the relevant data were obtained. Then, considering the correlation between different catalyst combinations and two dependent variables, three indexes affecting the catalyst are obtained, and then the temperature is combined. Four independent variables and two dependent variables were analyzed. Multiple regression model, least square method and MATLAB method were used for regression operation. Finally, on the basis of the multiple regression established, the stepwise regression analysis is used to select the appropriate decision variables and constraints for multivariate programming, and the MATLAB algorithm is used to solve the problem. Finally, it is concluded that the yield of C4 olefin is 44.73% when the loading ratio of Co load is 1wt%, the loading ratio of HAP is 200mg, the concentration of ethanol is 0.9ml/min, and the temperature is 400C. Under the constraint condition of the second half of 350C and adding the constraint conditions on the basis of the original, it is concluded that the highest yield of 26.54% is obtained when the loading ratio of Co load 2wt% HAP to HAP is 200mg, the concentration of ethanol is 1.68ml/min, and the temperature is 350C.
Linear programming, Control variable, Multiple regression
Zhen Jia, Dingjin Liu. Study on Preparation Process of Ethanol Coupled Olefins Based on Multi-objective Programming. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 10: 93-96. https://doi.org/10.25236/IJFET.2021.031012.
 Jiang Qiyuan mathematical Model (2nd Edition), Beijing: Higher Education Press, 1993.8(reprinted in 1998).
 Wu Mou; to recognize;Research on The Classification of Text Based on Genetic Algorithm [J]; Journal of Anhui Agricultural University (Natural Science edition); 2006-06Computer knowledge and technology;22, 2011.
 Synthesis of Butanol and C_4 olefin by ethanol coupling, Master thesis, Dalian University of Technology, 2018.
 An optimized convolutional neural network Deep learning Algorithm Peng Yaqin Cheng Xiaogang Modern Electronic Technology, 2016, 23.
 Analysis and Application research based on multiple Regression Mathematical Model, Journal of Qi Hongguang Xiangnan University, 2007, 02.
 Zhen-bo wang; Xie Jinxing; The development of mathematical Modeling competition and the role of mathematical modeling teachers; Mathematical type and its application; 2016-12-15.