ENHANCING THE PROCESSING EFFICIENCY OF LIGHT PYROLYSIS RESIN: A MATHEMATICAL MODEL APPROACH
DOI:
https://doi.org/10.15421/jchemtech.v33i3.320966Keywords:
Student and Fisher criteria, mathematical modeling, light resin, benzene, metal-organic complex catalyst, regression model, dispersion, correlationAbstract
The research work is devoted to enhancing the processing efficiency of light pyrolysis rezin for ethylene production and developing a mathematical model of this process. The process is aimed at increasing the yield of benzene by dealkylation of benzene-alkyl derivatives in the system using a toluene-based aluminum complex catalyst. Calculations were performed using the OptimMe and OriginLab software packages. By studying the effect of various factors (the amount of benzene at the beginning, temperature, the amount of catalyst, the duration of the process, etc.), the optimal temperature regime of the process, the composition and amount of the catalyst, and the duration of the process corresponding to the maximum yield of benzene were selected. Using these results, a multifactorial mathematical model of the process was developed, the adequacy of the model was determined by the Fisher's criterion, and the regression coefficients were evaluated by the Student's criterion. The obtained regression enables us to estimate the yield of benzene based on any concentration of the catalyst and the temperature conditions of the process (ranging from 0 to 80 °C). and thus can be used to minimize the total costs of implementing the process. Calculations indicate that the maximum yield of benzene occurs at a temperature of 80 °C, with a catalyst concentration of 2.5 %, and a process duration of 240 minutes.
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