Modeling and evaluation of hydrodesulfurization and deactivation rates for partially wetted Trilobe catalyst using finite element method

Limtrakul, Sunun; Bannatham, Papop; Teeraboonchaikul, Sornsawan; Vatanatham, Terdthai; Ramachandran, P.A.

doi:10.1016/j.powtec.2019.06.047

Cited by 5 publications

(1 citation statement)

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“…Individually or simultaneously, distinct causes can provoke catalyst deactivation such as poisoning and sintering of the active phase, pore plugging by metals, or even coke accumulation. All these issues make this assessment a challenging task. , The rate and extent of activity loss are often a function of the feed properties, fluctuation of operating conditions, frequency of plant emergency and shutdown situations, equipment efficiency, and product quality. − In fact, the rate of deactivation can to some extent be predicted through modeling and simulation tools. − Therefore, the development of predictive models, including the deactivation phenomenon from actual industrial data, becomes critical to assessing the effects of different process variables on plant performance …”

Section: Introductionmentioning

confidence: 99%

Evaluation of Time-on-Stream Deactivation Models with Effectiveness Factors for Industrial Feedstock Hydrotreating in Bench-Scale Tests

da Rocha Novaes,

de Resende,

Salim

et al. 2023

Ind. Eng. Chem. Res.

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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.

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