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Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
In this work, we propose numerical methodologies to combine detailed microkinetic modeling and Eulerian–Lagrangian methods for the multiscale simulation of fluidized bed reactors. In particular, we couple the hydrodynamics description by computational fluid dynamics and the discrete element method (...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333279/ https://www.ncbi.nlm.nih.gov/pubmed/30713744 http://dx.doi.org/10.1039/c8re00050f |
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author | Uglietti, Riccardo Bracconi, Mauro Maestri, Matteo |
author_facet | Uglietti, Riccardo Bracconi, Mauro Maestri, Matteo |
author_sort | Uglietti, Riccardo |
collection | PubMed |
description | In this work, we propose numerical methodologies to combine detailed microkinetic modeling and Eulerian–Lagrangian methods for the multiscale simulation of fluidized bed reactors. In particular, we couple the hydrodynamics description by computational fluid dynamics and the discrete element method (CFD–DEM) with the detailed surface chemistry by means of microkinetic modeling. The governing equations for the gas phase are solved through a segregated approach. The mass and energy balances for each catalytic particle, instead, are integrated adopting both the coupled and the operator-splitting approaches. To reduce the computational burden associated with the microkinetic description of the surface chemistry, in situ adaptive tabulation (ISAT) is employed together with operator-splitting. The catalytic partial oxidation of methane and steam reforming on Rh are presented as a showcase to assess the capability of the methods. An accurate description of the gas and site species is achieved along with up to 4 times speed-up of the simulation, thanks to the combined effect of operator-splitting and ISAT. The proposed approach represents an important step for the first-principles based multiscale analysis of fluidized reactive systems. |
format | Online Article Text |
id | pubmed-6333279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-63332792019-02-01 Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems Uglietti, Riccardo Bracconi, Mauro Maestri, Matteo React Chem Eng Chemistry In this work, we propose numerical methodologies to combine detailed microkinetic modeling and Eulerian–Lagrangian methods for the multiscale simulation of fluidized bed reactors. In particular, we couple the hydrodynamics description by computational fluid dynamics and the discrete element method (CFD–DEM) with the detailed surface chemistry by means of microkinetic modeling. The governing equations for the gas phase are solved through a segregated approach. The mass and energy balances for each catalytic particle, instead, are integrated adopting both the coupled and the operator-splitting approaches. To reduce the computational burden associated with the microkinetic description of the surface chemistry, in situ adaptive tabulation (ISAT) is employed together with operator-splitting. The catalytic partial oxidation of methane and steam reforming on Rh are presented as a showcase to assess the capability of the methods. An accurate description of the gas and site species is achieved along with up to 4 times speed-up of the simulation, thanks to the combined effect of operator-splitting and ISAT. The proposed approach represents an important step for the first-principles based multiscale analysis of fluidized reactive systems. Royal Society of Chemistry 2018-08-01 2018-06-01 /pmc/articles/PMC6333279/ /pubmed/30713744 http://dx.doi.org/10.1039/c8re00050f Text en This journal is © The Royal Society of Chemistry 2018 http://creativecommons.org/licenses/by/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (CC BY 3.0) |
spellingShingle | Chemistry Uglietti, Riccardo Bracconi, Mauro Maestri, Matteo Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems |
title | Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
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title_full | Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
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title_fullStr | Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
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title_full_unstemmed | Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
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title_short | Coupling CFD–DEM and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems
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title_sort | coupling cfd–dem and microkinetic modeling of surface chemistry for the simulation of catalytic fluidized systems |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333279/ https://www.ncbi.nlm.nih.gov/pubmed/30713744 http://dx.doi.org/10.1039/c8re00050f |
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