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Reaction–Diffusion Model for Gasification of a Shrinking Single Carbon-Anode Particle
[Image: see text] The present work focuses on the gasification of a single carbon-anode particle with CO(2), using a detailed reaction-transport model based on the reaction intrinsic kinetics and transport of gaseous species. The model includes the mass conservation equations for the gas components...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014945/ https://www.ncbi.nlm.nih.gov/pubmed/33817459 http://dx.doi.org/10.1021/acsomega.0c05297 |
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author | Kavand, Mohammad Mollaabbasi, Roozbeh Ziegler, Donald Larachi, Faïçal Picard, Donald Alamdari, Houshang |
author_facet | Kavand, Mohammad Mollaabbasi, Roozbeh Ziegler, Donald Larachi, Faïçal Picard, Donald Alamdari, Houshang |
author_sort | Kavand, Mohammad |
collection | PubMed |
description | [Image: see text] The present work focuses on the gasification of a single carbon-anode particle with CO(2), using a detailed reaction-transport model based on the reaction intrinsic kinetics and transport of gaseous species. The model includes the mass conservation equations for the gas components and solid carbon particles, resulting in a set of nonlinear partial differential equations, being solved using numerical techniques. The model may predict the gas generation rate, the gas compositions, and the carbon consumption rate during the gasification of a carbon particle. Five kinetic models were compared to describe the gasification behavior of carbon particles. It was found that the random pore model (RPM) provided the best description of the reactivity of anode particles. The model also predicted the particle shrinkage during the gasification process. The model was validated using experimental results obtained with different particle size ranges, being gasified with CO(2) at 1233 K. The experiments were performed in a thermogravimetric analyzer (TGA). Good agreement between the model results and the experimental data showed that this approach could quantify with success the gasification kinetics and the gas distribution within the anode particle. In addition, the Langmuir–Hinshelwood (L–H) model is used in order to capture the inhibition effect of carbon monoxide on the gasification reaction. The effectiveness factor and Thiele modulus simulated for various particle sizes helped assess the evolution of the relative dominance of diffusion and chemical reactions during the gasification process. |
format | Online Article Text |
id | pubmed-8014945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-80149452021-04-02 Reaction–Diffusion Model for Gasification of a Shrinking Single Carbon-Anode Particle Kavand, Mohammad Mollaabbasi, Roozbeh Ziegler, Donald Larachi, Faïçal Picard, Donald Alamdari, Houshang ACS Omega [Image: see text] The present work focuses on the gasification of a single carbon-anode particle with CO(2), using a detailed reaction-transport model based on the reaction intrinsic kinetics and transport of gaseous species. The model includes the mass conservation equations for the gas components and solid carbon particles, resulting in a set of nonlinear partial differential equations, being solved using numerical techniques. The model may predict the gas generation rate, the gas compositions, and the carbon consumption rate during the gasification of a carbon particle. Five kinetic models were compared to describe the gasification behavior of carbon particles. It was found that the random pore model (RPM) provided the best description of the reactivity of anode particles. The model also predicted the particle shrinkage during the gasification process. The model was validated using experimental results obtained with different particle size ranges, being gasified with CO(2) at 1233 K. The experiments were performed in a thermogravimetric analyzer (TGA). Good agreement between the model results and the experimental data showed that this approach could quantify with success the gasification kinetics and the gas distribution within the anode particle. In addition, the Langmuir–Hinshelwood (L–H) model is used in order to capture the inhibition effect of carbon monoxide on the gasification reaction. The effectiveness factor and Thiele modulus simulated for various particle sizes helped assess the evolution of the relative dominance of diffusion and chemical reactions during the gasification process. American Chemical Society 2021-03-22 /pmc/articles/PMC8014945/ /pubmed/33817459 http://dx.doi.org/10.1021/acsomega.0c05297 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Kavand, Mohammad Mollaabbasi, Roozbeh Ziegler, Donald Larachi, Faïçal Picard, Donald Alamdari, Houshang Reaction–Diffusion Model for Gasification of a Shrinking Single Carbon-Anode Particle |
title | Reaction–Diffusion Model for Gasification of
a Shrinking Single Carbon-Anode Particle |
title_full | Reaction–Diffusion Model for Gasification of
a Shrinking Single Carbon-Anode Particle |
title_fullStr | Reaction–Diffusion Model for Gasification of
a Shrinking Single Carbon-Anode Particle |
title_full_unstemmed | Reaction–Diffusion Model for Gasification of
a Shrinking Single Carbon-Anode Particle |
title_short | Reaction–Diffusion Model for Gasification of
a Shrinking Single Carbon-Anode Particle |
title_sort | reaction–diffusion model for gasification of
a shrinking single carbon-anode particle |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014945/ https://www.ncbi.nlm.nih.gov/pubmed/33817459 http://dx.doi.org/10.1021/acsomega.0c05297 |
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