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Two-Component Model for Catalyst Deactivation Full article

Journal Chemical Engineering Journal
ISSN: 1385-8947 , E-ISSN: 1873-3212
Output data Year: 2019, Volume: 378, Article number : 122176, Pages count : 4 DOI: 10.1016/j.cej.2019.122176
Tags Catalyst deactivation; Fick's law; Non-homogeneous model
Authors Malkovich E.G. 1,2 , Parkhomchuk E.V. 2,3 , Bazaikin Ya.V. 1,2 , Lysikov A.I. 2,3
Affiliations
1 Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russian Federation
2 Novosibirsk State University, Novosibirsk, Russian Federation
3 Boreskov Institute of Catalysis SB RAS, Novosibirsk, Russian Federation

Funding (2)

1 Russian Foundation for Basic Research 17-43-543303 (АААА-А17-117062810020-4)
2 Ministry of Science and Higher Education of the Russian Federation 0314-2019-0006 (АААА-А19-119021890014-4)

Abstract: Texture evolution of alumina hydrotreating catalyst was theoretically modeled using geometrical characteristics calculated via Monte-Carlo methods and methods of the graph theory. In the prescribed model deactivation was specified by monotonic increase of alumina grain radius, which imitated deposition of coke and metal species onto the pore surface. A novel two-component nonhomogeneous model was designed based on the diffusion of asphaltene molecules inside the cylindrical pellet according to Fick's law and deposition of the coke particles from heavy oil on the surface of the catalyst. The model resulted in non-monotonous coke distribution with a distinct maximum in the inner region of the pellet, which, nevertheless, shifts to the center at later deactivation stages due to the higher hydrogenation performance of pellet border region. Model can be applied to describe profiles of coke depositions during deactivation process for a pellet with an arbitrary boundary. © 2019 Elsevier B.V.
Cite: Malkovich E.G. , Parkhomchuk E.V. , Bazaikin Y.V. , Lysikov A.I.
Two-Component Model for Catalyst Deactivation
Chemical Engineering Journal. 2019. V.378. 122176 :1-4. DOI: 10.1016/j.cej.2019.122176 WOS Scopus РИНЦ ANCAN OpenAlex
Dates:
Published online: Jul 8, 2019
Published print: Dec 15, 2019
Identifiers:
Web of science: WOS:000487764800105
Scopus: 2-s2.0-85069551312
Elibrary: 41619868
Chemical Abstracts: 2019:1412968
Chemical Abstracts (print): 171:240917
OpenAlex: W2957720902
Citing:
DB Citing
Scopus 8
Web of science 7
Elibrary 6
OpenAlex 9
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