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Research on Effect of catalyst on C4 olefin production

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DOI: 10.23977/jmpd.2021.050108 | Downloads: 6 | Views: 235


Rui Zhang 1, Runfan Chen 1, Quandong Jiang 1


1 School of Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning, 116028, China

Corresponding Author

Rui Zhang


In the process of ethanol coupling to prepare C4 olefins, it is necessary to control variables. How to establish a model for research through mechanism analysis is of great significance to the catalyst conditions for ethanol to prepare C4 olefins and the improvement of product quality. Firstly, this paper uses the regression analysis model to make the change diagram of C4 olefin selectivity of each group of catalysts with the increase of temperature. According to the obtained influencing factors, a multiple regression and function fitting model is established to obtain the weighted numbers of five variables, so as to analyze the effects of different catalyst combinations and temperatures on ethanol conversion and C4 olefin selectivity.Finally, linprog was used for linear programming to take the yield as the objective function. The maximum value of the objective function was obtained by limiting five factors through constraints. The catalyst combination of 200mg 0.5wt% Co / SiO2 - 200mg HAP ethanol concentration of 0.3ml/min was selected. If there was no temperature limit, the temperature could be increased to 400 degrees.


Image analysis multiple linear regression optimal solution design experiment


Rui Zhang, Runfan Chen, Quandong Jiang. Research on Effect of catalyst on C4 olefin production. Journal of Materials, Processing and Design (2021) 5: 42-45. DOI:


[1] Ye Feng, regression analysis modeling with MATLAB software, Chengdu aviation vocational and technical college, Journal of Chengdu aviation vocational and technical college, 2007-02-29, 44-47
[2] LV Shaopei, preparation of butanol and C4 olefins by ethanol coupling, Dalian University of technology, 2018-06, 41-44
[3] Zhang Junwang, research on ethanol to mixed hydrocarbons, Lanzhou University, 2015-04, 24-27
[4] Cheng Chao, improved monthly electricity sales forecasting method and research based on time series method and regression analysis, Chongqing University, 2016-05-01, 10-1

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