Development of a Discrete Kinetic Model for Modeling of Industrial Hydrocracking Reaction Accompanied With Catalyst Diactivation

In order to model the industrial scale hydrocracking process, a five lump discrete model was employed in this research. The experimental data obtained from a pilot-scale fixed bed reactor over Ni-Mo/Silica-Alumina catalyst in a wide range of operating conditions was used for prediction and tuning the kinetic parameters using Genetic algorithm. Model predictions showed good agreement with experimental data with average absolute relative deviation (AARD) of 5.97 %. Afterward, presented kinetic model was used to simulate the vacuum gas oil (VGO) industrial hydrocracking reaction accompanied by catalyst deactivation. The activity of the catalyst was taken as a time dependent variable and the firstyear of operational data were used to derive the deactivation parameter. Industrial data during three and half years used to validate the model. The comparison showed that the presented model provides a reasonable fit to estimate the product yields of LPG, naphtha, kerosene, diesel with AARD of 7.12%.

Keywords:

Hydrocracking , Catalyst deactivation , Discrete model , Genetic algorithm