Optimal Catalyst Texture in Macromolecule Conversion: A Computational and Experimental Study Full article
| Journal |
Chemical Engineering Science
ISSN: 0009-2509 , E-ISSN: 1873-4405 |
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| Output data | Year: 2018, Volume: 188, Pages: 1-10 Pages count : 10 DOI: 10.1016/j.ces.2018.05.005 | ||||||
| Tags | Macromolecule, Hierarchical catalyst, macropores, deactivation, percolation theory, diffusion modeling | ||||||
| Authors |
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| Affiliations |
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Funding (2)
| 1 | Federal Agency for Scientific Organizations | 0303-2016-0010 |
| 2 | Russian Foundation for Basic Research | 17-43-543303 (АААА-А17-117062810020-4) |
Abstract:
Evolution of alumina catalyst texture during macromolecule conversion with an emphasis on heavy oil hydroprocessing was theoretically estimated using geometrical characteristics of the porous media that were in turn calculated via Monte-Carlo methods and methods of the graph theory. Two types of alumina texture have been modeled: unimodal mesoporous structure of conventional catalyst and bimodal meso-macroporous structure of the catalyst, which can be prepared by hard-templating method. To estimate the decreasing of the effectiveness coefficient for these two types of catalysts, a solution for the diffusion equation on the cylinder pellet was found. Deactivation was modeled by the most simple way of monotonic increase of alumina grain radius, which represented deposition of coke and metal species onto the surface of grains. The comparison of theoretical predictions with experimental results on heavy oil conversion under conditions close to industrial ones showed the correlation between the experiment and the model - hierarchical texture prolonged the catalyst lifetime in both cases. Nevertheless, to obtain accurate predictions of the necessary properties of the catalyst texture, the deactivation model should be complicated.
Cite:
Semeykina V.S.
, Malkovich E.G.
, Bazaikin Y.V.
, Lysikov A.I.
, Parkhomchuk E.V.
Optimal Catalyst Texture in Macromolecule Conversion: A Computational and Experimental Study
Chemical Engineering Science. 2018. V.188. P.1-10. DOI: 10.1016/j.ces.2018.05.005 WOS Scopus РИНЦ ANCAN OpenAlex
Optimal Catalyst Texture in Macromolecule Conversion: A Computational and Experimental Study
Chemical Engineering Science. 2018. V.188. P.1-10. DOI: 10.1016/j.ces.2018.05.005 WOS Scopus РИНЦ ANCAN OpenAlex
Dates:
| Submitted: | Jan 11, 2018 |
| Accepted: | May 3, 2018 |
| Published online: | May 4, 2018 |
| Published print: | Oct 1, 2018 |
Identifiers:
| Web of science: | WOS:000436773300001 |
| Scopus: | 2-s2.0-85047184084 |
| Elibrary: | 35521785 |
| Chemical Abstracts: | 2018:972431 |
| Chemical Abstracts (print): | 169:18611 |
| OpenAlex: | W2800573050 |