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The mathematical catalyst deactivation models: a mini review
Catalyst deactivation is a complex phenomenon and identifying an appropriate deactivation model is a key effort in the catalytic industry and plays a significant role in catalyst design. Accurate determination of the catalyst deactivation model is essential for optimizing the catalytic process. Diff...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369042/ https://www.ncbi.nlm.nih.gov/pubmed/37501777 http://dx.doi.org/10.1039/d3ra02912c |
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author | Shakor, Zaidoon M. Al-Shafei, Emad N. |
author_facet | Shakor, Zaidoon M. Al-Shafei, Emad N. |
author_sort | Shakor, Zaidoon M. |
collection | PubMed |
description | Catalyst deactivation is a complex phenomenon and identifying an appropriate deactivation model is a key effort in the catalytic industry and plays a significant role in catalyst design. Accurate determination of the catalyst deactivation model is essential for optimizing the catalytic process. Different mechanisms of catalyst deactivation by coke and metal deposition lead to different deactivation models for catalyst activity decay. In the rigorous mathematical models of the reactors, the reaction kinetics were coupled with the deactivation kinetic equation to evaluate the product distribution with respect to conversion time. Finally, selective and nonselective deactivation kinetic models were designed to identify catalyst deactivation through the propagation of heterogeneous chemical reactions. Therefore, the present review discusses the catalyst deactivation models designed for CO(2) hydrogenation, Fischer–Tropsch, biofuels and fossil fuels, which can facilitate the efforts to better represent the catalyst activities in various catalytic systems. |
format | Online Article Text |
id | pubmed-10369042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-103690422023-07-27 The mathematical catalyst deactivation models: a mini review Shakor, Zaidoon M. Al-Shafei, Emad N. RSC Adv Chemistry Catalyst deactivation is a complex phenomenon and identifying an appropriate deactivation model is a key effort in the catalytic industry and plays a significant role in catalyst design. Accurate determination of the catalyst deactivation model is essential for optimizing the catalytic process. Different mechanisms of catalyst deactivation by coke and metal deposition lead to different deactivation models for catalyst activity decay. In the rigorous mathematical models of the reactors, the reaction kinetics were coupled with the deactivation kinetic equation to evaluate the product distribution with respect to conversion time. Finally, selective and nonselective deactivation kinetic models were designed to identify catalyst deactivation through the propagation of heterogeneous chemical reactions. Therefore, the present review discusses the catalyst deactivation models designed for CO(2) hydrogenation, Fischer–Tropsch, biofuels and fossil fuels, which can facilitate the efforts to better represent the catalyst activities in various catalytic systems. The Royal Society of Chemistry 2023-07-26 /pmc/articles/PMC10369042/ /pubmed/37501777 http://dx.doi.org/10.1039/d3ra02912c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Shakor, Zaidoon M. Al-Shafei, Emad N. The mathematical catalyst deactivation models: a mini review |
title | The mathematical catalyst deactivation models: a mini review |
title_full | The mathematical catalyst deactivation models: a mini review |
title_fullStr | The mathematical catalyst deactivation models: a mini review |
title_full_unstemmed | The mathematical catalyst deactivation models: a mini review |
title_short | The mathematical catalyst deactivation models: a mini review |
title_sort | mathematical catalyst deactivation models: a mini review |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369042/ https://www.ncbi.nlm.nih.gov/pubmed/37501777 http://dx.doi.org/10.1039/d3ra02912c |
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