Construction of an optimal model for the preparation of C4 olefins based on multiple regression

Abstract

In this paper, based on the data obtained from a series of experiments conducted by a chemical laboratory for different catalysts at different temperatures, the optimization model and regression relationship model are established by using Gibbs free energy law, chemical equation energy analysis, chemical reaction equilibrium, the preparation of C4 alkenes by ethanol coupling was studied. By analyzing the temperature variation law of ethanol conversion and C4 olefin selectivity under different catalyst combinations, a regression relationship model was established, and the functional relationship between the variables was obtained. Then, the effects of different catalyst combinations and temperatures on ethanol conversion and C4 olefin selectivity were discussed. At the same time, in order to establish two optimization models, the first model is the C4 olefin yield model, which takes the minimum C4 olefin yield as the goal, and takes the range of factors such as temperature, and total mass as constraints. The second optimization model is based on the previous one with a constraint that the temperature is below 350°C, and then solved in MATLAB.