School of Water Conservancy＆Civil Engineering, Northeast Agricultural University, Heilongjiang, Harbin, 150000, China
In order to explore the influence of catalyst combination on the preparation of C4 olefins by ethanol catalytic coupling, this paper first studied each catalyst by polynomial regression method to analyze the relationship between ethanol conversion, C4 olefin selectivity and temperature. Secondly, BP neural network algorithm is used to select the best catalyst combination to obtain the highest C4 olefin yield. The results show that: 1. Most ethanol conversion and C4 olefin selectivity are directly proportional to temperature. 2. Without considering the temperature, when Co/SiO2 is 3%, the temperature is 400 ℃, Co / SiO2 and HAP are 200mg, The C4 yield is the best (47.23%). When the set temperature is lower than 350 ℃ and the temperature is 325 ℃, Co/SiO2 and HAP are 266mg and 133mg respectively, the maximum yield is 18.10%.
ethanol preparation C4 olefin; polynomial regression method; BP neural network algorithm
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