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Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst

[Image: see text] The methanol-to-olefins (MTO) technology creates a new non-oil route to produce light olefins. This paper reports a 14-lump MTO kinetic model for SAPO-34 catalyst, combined with the hydrodynamic model for the fast fluidized bed reactor of the industrial SMTO process. Selective deac...

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Autores principales: Jiang, Hongbo, Yuan, Linzhi, Li, Defei, Chen, Yushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018698/
https://www.ncbi.nlm.nih.gov/pubmed/36936341
http://dx.doi.org/10.1021/acsomega.3c00304
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author Jiang, Hongbo
Yuan, Linzhi
Li, Defei
Chen, Yushi
author_facet Jiang, Hongbo
Yuan, Linzhi
Li, Defei
Chen, Yushi
author_sort Jiang, Hongbo
collection PubMed
description [Image: see text] The methanol-to-olefins (MTO) technology creates a new non-oil route to produce light olefins. This paper reports a 14-lump MTO kinetic model for SAPO-34 catalyst, combined with the hydrodynamic model for the fast fluidized bed reactor of the industrial SMTO process. Selective deactivation is considered to quantify the product selectivity and abrupt catalytic activity change. Moreover, referring to the parallel compartment (PC) model, the activity difference between the circulating spent catalyst and the regenerated catalyst is considered. The validation results with the optimized kinetic parameters showed good agreement between the calculated value and the actual value. Sensitivity analysis of the industrial SMTO process was performed. According to the results, the established mathematical model can provide guidance for industrial production operations.
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spelling pubmed-100186982023-03-17 Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst Jiang, Hongbo Yuan, Linzhi Li, Defei Chen, Yushi ACS Omega [Image: see text] The methanol-to-olefins (MTO) technology creates a new non-oil route to produce light olefins. This paper reports a 14-lump MTO kinetic model for SAPO-34 catalyst, combined with the hydrodynamic model for the fast fluidized bed reactor of the industrial SMTO process. Selective deactivation is considered to quantify the product selectivity and abrupt catalytic activity change. Moreover, referring to the parallel compartment (PC) model, the activity difference between the circulating spent catalyst and the regenerated catalyst is considered. The validation results with the optimized kinetic parameters showed good agreement between the calculated value and the actual value. Sensitivity analysis of the industrial SMTO process was performed. According to the results, the established mathematical model can provide guidance for industrial production operations. American Chemical Society 2023-03-03 /pmc/articles/PMC10018698/ /pubmed/36936341 http://dx.doi.org/10.1021/acsomega.3c00304 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/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 Jiang, Hongbo
Yuan, Linzhi
Li, Defei
Chen, Yushi
Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title_full Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title_fullStr Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title_full_unstemmed Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title_short Mathematical Model for the Industrial SMTO Reactor with a SAPO-34 Catalyst
title_sort mathematical model for the industrial smto reactor with a sapo-34 catalyst
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018698/
https://www.ncbi.nlm.nih.gov/pubmed/36936341
http://dx.doi.org/10.1021/acsomega.3c00304
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