FERNANDES, T. C. R. L.; http://lattes.cnpq.br/2107979968723473; FERNANDES, Thalita Cristine Ribeiro Lucas.
Abstract:
Catalytic hydrodenitrogenation is one process used to remove nitrogen impurities from refinery streams, and it occurs by reacting a given charge with hydrogen at high temperature and pressure in a trickled-bed reactor. In order to optimize the operation of such reactors one needs information about the kinetics of the various hydrodenitrogenation reactions. However, reaction rate expressions are not available in the open literature. Therefore, this work aims at obtaining the reaction rate expressions and parameters for the reaction network of nitrogen compounds using the rigorous hydrodenitrogenation model in Aspen Hysys as the numerical basis for simulations. A differential reactor to simulate the process for different feed streams generated data to estimate of concentration of reagent and products at different feed loads. Three different methods were used, a multivariable linear regression model to obtain the regression coefficients, a stochastic interpolator metamodeling, Kriging and an optimized Kriging with least square method. In a first step, two simple reactions rates were used to test the methodologies in a reactor PFR in Hysys, a reversible and an irreversible. The results showed that linear regression might be use to estimate parameters satisfactory only if you know the reaction rate expression. By using statistical analysis as determination coefficient R² and analyze of variance, ANOVA, it was possible to compare both Krigings (conventional and optimized). Optimized Kriging showed a better adherence to the data when compared to conventional kriging.