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Investigation of CO(2) Photoreduction in an Annular Fluidized Bed Photoreactor by MP-PIC Simulation
[Image: see text] Carbon dioxide (CO(2)) photoreduction is a promising process for both mitigating CO(2) emissions and providing chemicals and fuels. A gas–solid two-phase annular fluidized bed photoreactor (FBPR) would be preferred for this process due to its high mass-transfer rate and easy operat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007463/ https://www.ncbi.nlm.nih.gov/pubmed/35431432 http://dx.doi.org/10.1021/acs.iecr.1c04035 |
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author | Lu, Xuesong Tan, Jeannie Z. Y. Maroto-Valer, M. Mercedes |
author_facet | Lu, Xuesong Tan, Jeannie Z. Y. Maroto-Valer, M. Mercedes |
author_sort | Lu, Xuesong |
collection | PubMed |
description | [Image: see text] Carbon dioxide (CO(2)) photoreduction is a promising process for both mitigating CO(2) emissions and providing chemicals and fuels. A gas–solid two-phase annular fluidized bed photoreactor (FBPR) would be preferred for this process due to its high mass-transfer rate and easy operation. However, CO(2) photoreduction using the FBPR has not been widely researched to date. The Lagrangian multiphase particle-in-cell (MP-PIC) simulation with computational fluid dynamic models is a new and robust approach to explore the multiphase reaction system in the gas–solid fluidized bed. Therefore, the purpose of this paper is to investigate CO(2) photoreduction in the FBPR by MP-PIC modeling to understand the intrinsic mechanism of solid flow, species mass transfer, and CO(2) photoreaction. The MP-PIC models for solid flow in the FBPR were validated by the bed expansion height and bubble size. The results showed the particle stress of the Lun model, the drag of the Ergun-WenYu (Gidaspow) model, and the coefficient of restitution e = 0.95 with the wall parameters e(w) = 0.9 and μ(w) = 0.6 are the best fit to the experimental empirical correlations. The MP-PIC models developed in this work proved to be better than the Eulerian two-fluid modeling in the prediction of the bed expansion height and bubble size. It was also found from the simulation results that the maximum radiation intensity is in the half reactor height area, and the photocatalytic reaction mainly occurred around the inner wall. It showed that the gas velocity and catalyst loading were two crucial operating parameters to control the process. The results reported here can provide guidance for the operation and reactor design of the CO(2) photoreduction process. |
format | Online Article Text |
id | pubmed-9007463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-90074632022-04-14 Investigation of CO(2) Photoreduction in an Annular Fluidized Bed Photoreactor by MP-PIC Simulation Lu, Xuesong Tan, Jeannie Z. Y. Maroto-Valer, M. Mercedes Ind Eng Chem Res [Image: see text] Carbon dioxide (CO(2)) photoreduction is a promising process for both mitigating CO(2) emissions and providing chemicals and fuels. A gas–solid two-phase annular fluidized bed photoreactor (FBPR) would be preferred for this process due to its high mass-transfer rate and easy operation. However, CO(2) photoreduction using the FBPR has not been widely researched to date. The Lagrangian multiphase particle-in-cell (MP-PIC) simulation with computational fluid dynamic models is a new and robust approach to explore the multiphase reaction system in the gas–solid fluidized bed. Therefore, the purpose of this paper is to investigate CO(2) photoreduction in the FBPR by MP-PIC modeling to understand the intrinsic mechanism of solid flow, species mass transfer, and CO(2) photoreaction. The MP-PIC models for solid flow in the FBPR were validated by the bed expansion height and bubble size. The results showed the particle stress of the Lun model, the drag of the Ergun-WenYu (Gidaspow) model, and the coefficient of restitution e = 0.95 with the wall parameters e(w) = 0.9 and μ(w) = 0.6 are the best fit to the experimental empirical correlations. The MP-PIC models developed in this work proved to be better than the Eulerian two-fluid modeling in the prediction of the bed expansion height and bubble size. It was also found from the simulation results that the maximum radiation intensity is in the half reactor height area, and the photocatalytic reaction mainly occurred around the inner wall. It showed that the gas velocity and catalyst loading were two crucial operating parameters to control the process. The results reported here can provide guidance for the operation and reactor design of the CO(2) photoreduction process. American Chemical Society 2022-02-21 2022-03-02 /pmc/articles/PMC9007463/ /pubmed/35431432 http://dx.doi.org/10.1021/acs.iecr.1c04035 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Lu, Xuesong Tan, Jeannie Z. Y. Maroto-Valer, M. Mercedes Investigation of CO(2) Photoreduction in an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title | Investigation of CO(2) Photoreduction in
an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title_full | Investigation of CO(2) Photoreduction in
an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title_fullStr | Investigation of CO(2) Photoreduction in
an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title_full_unstemmed | Investigation of CO(2) Photoreduction in
an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title_short | Investigation of CO(2) Photoreduction in
an Annular Fluidized Bed Photoreactor by MP-PIC Simulation |
title_sort | investigation of co(2) photoreduction in
an annular fluidized bed photoreactor by mp-pic simulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007463/ https://www.ncbi.nlm.nih.gov/pubmed/35431432 http://dx.doi.org/10.1021/acs.iecr.1c04035 |
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