Two-component model for catalyst deactivation

Malkovich, Evgeny; Пархомчук, Е. В.; Bazaikin, Y.; Лысиков, А. И.

doi:10.1016/j.cej.2019.122176

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Fick's laws are widely used to describe various diffusion process [14], the first law implies that the diffusion flux can be expressed as…”

Section: Diffusion-reaction Equationmentioning

confidence: 99%

Fractal diffusion-reaction model for a porous electrode

2021

THERM SCI

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Fractal modifications of Fick?s laws are discussed by taking into account the electrode?s porous structure, and a fractal derivative model for diffusion-reaction process in a thin film of an amperometric enzymatic reaction is established. Particular attention is paid to giving an intuitive grasp for its fractal variational principle and its solution procedure. Extremely fast or extremely slow diffusion process can be achieved by suitable control of the electrode?s surface morphology, a sponge-like surface leads to an extremely fast diffusion, while a lotus-leaf-like uneven surface predicts an extremely slow process. This paper sheds a bright light on an optimal design of an electrode?s surface morphology.

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“…Fick's laws are widely used to describe various diffusion process [14], the first law implies that the diffusion flux can be expressed as…”

Section: Diffusion-reaction Equationmentioning

confidence: 99%

Fractal diffusion-reaction model for a porous electrode

2021

THERM SCI

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“…Usually applied in many research papers, the generalized differential deactivation equation (power-law expression) considers a decay parameter (φ) in the function of time, deactivation order, and deactivation constants. , The resolution is based on parameter estimation techniques using nonlinear analyses. The investigation proposed by Malkovich et al considered two-component models: (i) diffusion of asphaltene molecules inside the cylindrical pellet; and (ii) deposition of the coke particles from heavy oil on the surface of the catalyst . That deactivation model was analyzed via two distribution functions of the asphaltenes and coke depositions, dependent on the position inside the pellet and the deactivation level.…”

Section: Introductionmentioning

confidence: 99%

“…The investigation proposed by Malkovich et al considered two-component models: (i) diffusion of asphaltene molecules inside the cylindrical pellet; and (ii) deposition of the coke particles from heavy oil on the surface of the catalyst. 45 That deactivation model was analyzed via two distribution functions of the asphaltenes and coke depositions, dependent on the position inside the pellet and the deactivation level. More recently, Ma et al combined both the catalyst coke quantification and a deactivation TOS-based model in the fast pyrolysis bio-oil hydrotreating.…”

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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Photoinduction of palladium single atoms supported on defect-containing γ-AlOOH nanoleaf for efficient trans-stilbene epoxidation

Yuan

et al. 2022

Chemical Engineering Journal

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Two-component model for catalyst deactivation

Cited by 7 publications

References 14 publications

Fractal diffusion-reaction model for a porous electrode

Fractal diffusion-reaction model for a porous electrode

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

Photoinduction of palladium single atoms supported on defect-containing γ-AlOOH nanoleaf for efficient trans-stilbene epoxidation

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