Abstract
The preparation of C4 olefins by ethanol coupling is a very important process in chemical production. In this paper, the Hermite interpolation method is used to complete the missing data when the temperature is 400 ℃, and a grey correlation model is established to calculate the correlation degree between CO loading, Co / SiO2 and HAP loading ratio, ethanol concentration and temperature and ethanol conversion and the selectivity of C4 olefins in different catalyst combinations. Then, the weights of different catalyst combinations and temperatures were obtained by using each correlation degree. Finally, the BP neural network algorithm model is used to obtain the optimal combination of temperature 402 ℃, catalyst combination 200mg 1wt% Co / SiO2 - 200mg HAP ethanol concentration 0.9ml/min, adding the constraint condition that the temperature is less than 350 ℃, and the temperature is 343 ℃, catalyst combination 200mg 2wt% Co / SiO2 - 200mg HAP ethanol concentration 1.68ml/min.
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