The hydrotreating process continues to be essential to
fulfill
demands and achieve product specifications respecting environmental
restrictions. Deep knowledge of the process is indispensable to controlling,
monitoring, and evaluating operating conditions, physical–chemical
phenomena, and parameters such as catalytic deactivation and internal
diffusion resistance. Experimental data based on industrial feedstocks
under typical operating conditions on a bench-scale reactor were used
to determine the effectiveness factor (η) of commercial hydrotreating
catalysts. The rigorous method to calculate η was applied, considering
the microscopic balance within the solid particle. The developed model
presented stability and reliability to evaluate accurately η
under different conditions - temperature, feed, and hydrogen flow.
Besides, the evaluation of stationary and transient behavior of η
indicated that at the inlet of the reactor, the difference between
surface and average internal reaction rates was higher. The application
of time-on-stream (TOS)-based deactivation models did not present
accuracy and precision to fit the experimental accelerated deactivation
data. Moreover, the correlation coefficient parameters (R
2) ranged from 0.7 to 0.85, indicating that TOS equations
did not represent the deactivation profile due fast coke deposition.
Additionally, the better adjustment of deactivation data regarding
the objective function minimization and R
2 was obtained considering the differential deactivation equation
coupled with the mathematical phenomenological model, i.e., simultaneous
parameter estimation–deactivation orders and activation energy.