Issue 70, 2017

Restricted diffusion of model sulfides over a NiMo/BK catalyst under hydrodesulfurization reaction conditions

Abstract

Micro–mesoporous composite Beta-KIT-6 (BK) material with cubic Ia[3 with combining macron]d mesoporous structure was synthesized, and then a NiMo/BK hydrodesulfurization (HDS) catalyst was prepared using BK as a support. Four kinds of model sulfides with different structures and molecular sizes, including thiophene, benzothiophene, dibenzothiophene, and 4,6-dimethyldibenzothiophene, were chosen as the reactant probe molecules. The intra-particle diffusion effects on HDS of these four different model sulfides were investigated systematically over the novel NiMo/BK micro–mesoporous-supported catalyst under HDS reaction conditions. The changing rules of the catalyst effective factor (η) and effective diffusion coefficient (De) of model sulfides were investigated. The results showed that the η values of NiMo/BK catalyst in the HDS of different reactant molecules are higher than those of the traditional NiMo/Al2O3 owing to excellent mass transfer ability of the well-ordered NiMo/BK catalyst, and the De values decreased with the increasing molecular sizes of model sulfur-containing compounds. The relationship of effective diffusion coefficient (De) with molecule diameter to pore diameter ratio (λ) was further determined. Restrictive factors were correlated by F(λ) = (1 − λ)3.15 for NiMo/BK and F(λ) = (1 − λ)3.67 for NiMo/Al2O3 catalyst, indicating that large pore size is beneficial to the diffusion of macromolecular reactants.

Graphical abstract: Restricted diffusion of model sulfides over a NiMo/BK catalyst under hydrodesulfurization reaction conditions

Supplementary files

Article information

Article type
Paper
Submitted
16 Jul 2017
Accepted
25 Aug 2017
First published
14 Sep 2017
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2017,7, 44340-44347

Restricted diffusion of model sulfides over a NiMo/BK catalyst under hydrodesulfurization reaction conditions

H. Wu, A. Duan, Z. Zhao, C. Xu, G. Jiang, J. Liu, Y. Wei, J. Li, K. Chi and J. Guo, RSC Adv., 2017, 7, 44340 DOI: 10.1039/C7RA07833A

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