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CFD simulation of the ethylbenzene dehydrogenation reaction in the fixed bed reactor with a cylindrical catalyst of various sizes

  • Sergei A. Solovev ORCID logo EMAIL logo , Olga V. Soloveva , Daniel L. Paluku and Alexander A. Lamberov
Published/Copyright: July 1, 2021
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Chemical Product and Process Modeling
From the journal Chemical Product and Process Modeling Volume 17 Issue 6

Abstract

In this paper, the Discrete Element Method of simulation was used to study the catalytic granule size effect on the efficiency of a bed reactor for the ethylbenzene dehydrogenation reaction. The model constructed for the laboratory experiment was made of catalyst granules of lengths 3, 6 and 9 mm, and diameters 2.8, 3, and 3.2 mm. A detailed evaluation of the catalyst total surface area and porosity effect was conducted owing to the analysis of particles size effect on the packing. Different results were observed for a wide feed gas mixture rate. Calculations performed allowed to deduce dependences of the reaction product concentration, the pressure drops, and the reactor productivity for all the particle sizes investigated.

Keywords: chemical reactor; computational fluid dynamics; cylindrical particles; discrete element method; fixed bed
Corresponding author: Sergei A. Solovev, Institute of Digital Technologies and Economics, Kazan State Power Engineering University, Kazan, Russian Federation, E-mail:

Funding source: Russian Foundation for Basic Research 10.13039/501100002261

Award Identifier / Grant number: 18-41-160005

  1. Author contributions: All the authors have accepted responsibility for theentire content of this submitted manuscript and approved submission.

  2. Research funding: The reported research was funded by Russian Foundation for Basic Research and the government of the Republic of Tatarstan of the Russian Federation, Grant No. 18-41-160005.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2021-01-14
Accepted: 2021-06-20
Published Online: 2021-07-01

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. CFD simulation of the ethylbenzene dehydrogenation reaction in the fixed bed reactor with a cylindrical catalyst of various sizes
  4. Energy and exergy optimization of oxidative steam reforming of acetone–butanol–ethanol–water mixture as a renewable source for H2 production via thermodynamic modeling
  5. A novel LSSVM-L Hammerstein model structure for system identification and nonlinear model predictive control of CSTR servo and regulatory control
  6. Environmental and thermodynamic performance assessment of biomass gasification process for hydrogen production in a downdraft gasifier
  7. Modeling of lime production process using artificial neural network
  8. Control of TITO processes using sliding mode controller tuned by ITAE minimizing criterion based Nelder-Mead algorithm
  9. To the problem of forming the equation system for pressure swing adsorption mathematical model
  10. Review
  11. A comparative study of various Smith predictor configurations for industrial delay processes
https://doi.org/10.1515/cppm-2021-0002
Keywords for this article
chemical reactor; computational fluid dynamics; cylindrical particles; discrete element method; fixed bed

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. CFD simulation of the ethylbenzene dehydrogenation reaction in the fixed bed reactor with a cylindrical catalyst of various sizes
  4. Energy and exergy optimization of oxidative steam reforming of acetone–butanol–ethanol–water mixture as a renewable source for H2 production via thermodynamic modeling
  5. A novel LSSVM-L Hammerstein model structure for system identification and nonlinear model predictive control of CSTR servo and regulatory control
  6. Environmental and thermodynamic performance assessment of biomass gasification process for hydrogen production in a downdraft gasifier
  7. Modeling of lime production process using artificial neural network
  8. Control of TITO processes using sliding mode controller tuned by ITAE minimizing criterion based Nelder-Mead algorithm
  9. To the problem of forming the equation system for pressure swing adsorption mathematical model
  10. Review
  11. A comparative study of various Smith predictor configurations for industrial delay processes
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