In this paper, the effects of different catalyst combinations and temperatures on ethanol conversion rate and C4 olefin selectivity in the reaction of preparing C4 olefins by ethanol coupling are mainly studied, and the optimal reaction conditions for maximizing C4 olefin yield are found according to the established model. A single-objective optimization model was established with the total weight of catalyst, Co loading, Co/SiO2 and HAP loading ratio, ethanol concentration and temperature as independent variables and C4 olefin yield as dependent variables. Then, neural network model is used to predict C4 olefin yield data under different influencing factors, and genetic algorithm is used to find the optimal solution.

Yiwen Diao. Research on C4 Olefin Yield Optimization Based on BP Neural Network and Single Objective Optimization. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 5: 41-45. https://doi.org/10.25236/AJETS.2022.050508.

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