Abstract

C4 olefins are one of the most important raw materials for chemical products and ethanol can be used as a feedstock for the production and preparation of C4 olefins. In the preparation process, catalyst combinations and reaction temperatures can affect both feedstock conversion and C4 olefin yield, and finding the optimal configuration required for the preparation process can effectively improve yield and efficiency and save costs. Based on the analysis of experimental data, this paper discusses the reasons affecting the magnitude of ethanol conversion, C4 olefin selectivity, and C4 olefin yield, and proposes a regression model and grid search-based approach to solving the optimal configuration of catalyst combination and reaction temperature.

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