Pore Network Modelling of Slender Packed Bed Reactors

Ali Fathiganjehlou; A. Eghbalmanesh; M.W. Baltussen; E.A.J.F. Peters; K.A. Buist; J.A.M. Kuipers

doi:10.1016/j.ces.2023.118626

Pore Network Modelling of Slender Packed Bed Reactors

Ali Fathiganjehlou, A. Eghbalmanesh, M.W. Baltussen, E.A.J.F. Peters (Corresponding author), K.A. Buist, J.A.M. Kuipers

Research output: Contribution to journal › Article › Academic › peer-review

18 Citations (Scopus)

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Abstract

Packed bed reactors are common reactor types in chemical industries. In case of reactions with large heat effects, bundles of slender tubes are used. For such slender tubes, the column-to-particle diameter ratio, N, is small, which can give rise to significant flow channelling. This research uses two particle-scale numerical approaches, namely particle-resolved computational fluid dynamics (PR-CFD) and pore network model (PNM), to investigate the hydrodynamics of three packed beds containing random packings of spherical particles with 4.2⩽N⩽ 7.0. Global parameters of the PNM, such as shape and constriction factors, are optimized using the PR-CFD results. A comparison of computed PNM and PR-CFD results shows that the PNM captures local variations in the bed well. The low computational cost of PNM, as well as its ability to provide locally resolved data, makes the PNM a promising approach for the pore-scale modelling of slender packed bed reactors.

Original language	English
Article number	118626
Number of pages	10
Journal	Chemical Engineering Science
Volume	273
DOIs	https://doi.org/10.1016/j.ces.2023.118626
Publication status	Published - 5 Jun 2023

Funding

This work is a part of the research program TOP Grants Chemical Sciences with project number 716.018.001, which is financed by the Dutch Research Council (NWO). The authors also thank Noah Romijn for her kind help in generating the particle packings in the Blender software. In addition, we thank SURF (www.surf.nl) for the support in using the National Supercomputer Snellius.

Funders
SURF
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Keywords

Slender packed bed reactors
Pore Network Modelling
Computational Fluid Dynamics
Immersed Boundary method
Hydrodynamics

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10.1016/j.ces.2023.118626

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Cite this

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title = "Pore Network Modelling of Slender Packed Bed Reactors",

abstract = "Packed bed reactors are common reactor types in chemical industries. In case of reactions with large heat effects, bundles of slender tubes are used. For such slender tubes, the column-to-particle diameter ratio, N, is small, which can give rise to significant flow channelling. This research uses two particle-scale numerical approaches, namely particle-resolved computational fluid dynamics (PR-CFD) and pore network model (PNM), to investigate the hydrodynamics of three packed beds containing random packings of spherical particles with 4.2⩽N⩽ 7.0. Global parameters of the PNM, such as shape and constriction factors, are optimized using the PR-CFD results. A comparison of computed PNM and PR-CFD results shows that the PNM captures local variations in the bed well. The low computational cost of PNM, as well as its ability to provide locally resolved data, makes the PNM a promising approach for the pore-scale modelling of slender packed bed reactors.",

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AU - Fathiganjehlou, Ali

AU - Eghbalmanesh, A.

AU - Baltussen, M.W.

AU - Peters, E.A.J.F.

AU - Buist, K.A.

AU - Kuipers, J.A.M.

PY - 2023/6/5

Y1 - 2023/6/5

N2 - Packed bed reactors are common reactor types in chemical industries. In case of reactions with large heat effects, bundles of slender tubes are used. For such slender tubes, the column-to-particle diameter ratio, N, is small, which can give rise to significant flow channelling. This research uses two particle-scale numerical approaches, namely particle-resolved computational fluid dynamics (PR-CFD) and pore network model (PNM), to investigate the hydrodynamics of three packed beds containing random packings of spherical particles with 4.2⩽N⩽ 7.0. Global parameters of the PNM, such as shape and constriction factors, are optimized using the PR-CFD results. A comparison of computed PNM and PR-CFD results shows that the PNM captures local variations in the bed well. The low computational cost of PNM, as well as its ability to provide locally resolved data, makes the PNM a promising approach for the pore-scale modelling of slender packed bed reactors.

AB - Packed bed reactors are common reactor types in chemical industries. In case of reactions with large heat effects, bundles of slender tubes are used. For such slender tubes, the column-to-particle diameter ratio, N, is small, which can give rise to significant flow channelling. This research uses two particle-scale numerical approaches, namely particle-resolved computational fluid dynamics (PR-CFD) and pore network model (PNM), to investigate the hydrodynamics of three packed beds containing random packings of spherical particles with 4.2⩽N⩽ 7.0. Global parameters of the PNM, such as shape and constriction factors, are optimized using the PR-CFD results. A comparison of computed PNM and PR-CFD results shows that the PNM captures local variations in the bed well. The low computational cost of PNM, as well as its ability to provide locally resolved data, makes the PNM a promising approach for the pore-scale modelling of slender packed bed reactors.

KW - Slender packed bed reactors

KW - Pore Network Modelling

KW - Computational Fluid Dynamics

KW - Immersed Boundary method

KW - Hydrodynamics

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VL - 273

JO - Chemical Engineering Science

JF - Chemical Engineering Science

M1 - 118626

ER -

Pore Network Modelling of Slender Packed Bed Reactors

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Reports on Computational Fluid Dynamics Findings from Eindhoven University of Technology Provide New Insights (Pore Network Modelling of Slender Packed Bed Reactors)

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Pore Network Modelling of Slender Packed Bed Reactors

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Reports on Computational Fluid Dynamics Findings from Eindhoven University of Technology Provide New Insights (Pore Network Modelling of Slender Packed Bed Reactors)

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