Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture

Autores
Balashankar, Vishal Subramanian; Rajagopalan, Ashwin Kumar; De Pauw, R.; Avila, Adolfo María; Rajendran, Arvind
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A simplified proxy model based on a well-mixed batch adsorber for vacuum swing adsorption (VSA) based CO2 capture from dry post-combustion flue gas is presented. A graphical representation of the model output allows for the rationalization of broad trends of process performance. The results of the simplified model are compared with a detailed VSA model that takes into account mass and heat transfer, column pressure drop and column switching, in order to understand its potential and limitations. A new classification metric to identify whether an adsorbent can produce CO2 purity and recovery that meet current US Department of Energy (US-DOE) for post-combustion CO2 capture and to calculate the corresponding parasitic energy is developed. The model, which can be evaluated within a few seconds, showed a classification Matthew correlation coefficient of 0.76 compared to 0.39, the best offered by any traditional metric. The model was also able to predict the energy consumption within 15% accuracy of the detailed model for 83% of the adsorbents studied. The developed metric and the correlation are then used to screen NIST/ARPA-E database to identify promising adsorbents for CO2 capture applications.
Fil: Balashankar, Vishal Subramanian. University of Alberta; Canadá
Fil: Rajagopalan, Ashwin Kumar. University of Alberta; Canadá
Fil: De Pauw, R.. Vrije Unviversiteit Brussel; Bélgica
Fil: Avila, Adolfo María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Química del Noroeste. Universidad Nacional de Tucumán. Facultad de Bioquímica, Química y Farmacia. Instituto de Química del Noroeste; Argentina
Fil: Rajendran, Arvind. University of Alberta; Canadá
Materia
Adsorption
CO2 capture
Adsobent screening
PSA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/119059
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 CaptureBalashankar, Vishal SubramanianRajagopalan, Ashwin KumarDe Pauw, R.Avila, Adolfo MaríaRajendran, ArvindAdsorptionCO2 captureAdsobent screeningPSAhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A simplified proxy model based on a well-mixed batch adsorber for vacuum swing adsorption (VSA) based CO2 capture from dry post-combustion flue gas is presented. A graphical representation of the model output allows for the rationalization of broad trends of process performance. The results of the simplified model are compared with a detailed VSA model that takes into account mass and heat transfer, column pressure drop and column switching, in order to understand its potential and limitations. A new classification metric to identify whether an adsorbent can produce CO2 purity and recovery that meet current US Department of Energy (US-DOE) for post-combustion CO2 capture and to calculate the corresponding parasitic energy is developed. The model, which can be evaluated within a few seconds, showed a classification Matthew correlation coefficient of 0.76 compared to 0.39, the best offered by any traditional metric. The model was also able to predict the energy consumption within 15% accuracy of the detailed model for 83% of the adsorbents studied. The developed metric and the correlation are then used to screen NIST/ARPA-E database to identify promising adsorbents for CO2 capture applications.Fil: Balashankar, Vishal Subramanian. University of Alberta; CanadáFil: Rajagopalan, Ashwin Kumar. University of Alberta; CanadáFil: De Pauw, R.. Vrije Unviversiteit Brussel; BélgicaFil: Avila, Adolfo María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Química del Noroeste. Universidad Nacional de Tucumán. Facultad de Bioquímica, Química y Farmacia. Instituto de Química del Noroeste; ArgentinaFil: Rajendran, Arvind. University of Alberta; CanadáAmerican Chemical Society2019-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/119059Balashankar, Vishal Subramanian; Rajagopalan, Ashwin Kumar; De Pauw, R.; Avila, Adolfo María; Rajendran, Arvind; Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 58; 8; 2-2019; 3314-33280888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.8b05420info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.8b05420info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:02:53Zoai:ri.conicet.gov.ar:11336/119059instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:02:53.293CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
title Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
spellingShingle Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
Balashankar, Vishal Subramanian
Adsorption
CO2 capture
Adsobent screening
PSA
title_short Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
title_full Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
title_fullStr Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
title_full_unstemmed Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
title_sort Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture
dc.creator.none.fl_str_mv Balashankar, Vishal Subramanian
Rajagopalan, Ashwin Kumar
De Pauw, R.
Avila, Adolfo María
Rajendran, Arvind
author Balashankar, Vishal Subramanian
author_facet Balashankar, Vishal Subramanian
Rajagopalan, Ashwin Kumar
De Pauw, R.
Avila, Adolfo María
Rajendran, Arvind
author_role author
author2 Rajagopalan, Ashwin Kumar
De Pauw, R.
Avila, Adolfo María
Rajendran, Arvind
author2_role author
author
author
author
dc.subject.none.fl_str_mv Adsorption
CO2 capture
Adsobent screening
PSA
topic Adsorption
CO2 capture
Adsobent screening
PSA
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A simplified proxy model based on a well-mixed batch adsorber for vacuum swing adsorption (VSA) based CO2 capture from dry post-combustion flue gas is presented. A graphical representation of the model output allows for the rationalization of broad trends of process performance. The results of the simplified model are compared with a detailed VSA model that takes into account mass and heat transfer, column pressure drop and column switching, in order to understand its potential and limitations. A new classification metric to identify whether an adsorbent can produce CO2 purity and recovery that meet current US Department of Energy (US-DOE) for post-combustion CO2 capture and to calculate the corresponding parasitic energy is developed. The model, which can be evaluated within a few seconds, showed a classification Matthew correlation coefficient of 0.76 compared to 0.39, the best offered by any traditional metric. The model was also able to predict the energy consumption within 15% accuracy of the detailed model for 83% of the adsorbents studied. The developed metric and the correlation are then used to screen NIST/ARPA-E database to identify promising adsorbents for CO2 capture applications.
Fil: Balashankar, Vishal Subramanian. University of Alberta; Canadá
Fil: Rajagopalan, Ashwin Kumar. University of Alberta; Canadá
Fil: De Pauw, R.. Vrije Unviversiteit Brussel; Bélgica
Fil: Avila, Adolfo María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Química del Noroeste. Universidad Nacional de Tucumán. Facultad de Bioquímica, Química y Farmacia. Instituto de Química del Noroeste; Argentina
Fil: Rajendran, Arvind. University of Alberta; Canadá
description A simplified proxy model based on a well-mixed batch adsorber for vacuum swing adsorption (VSA) based CO2 capture from dry post-combustion flue gas is presented. A graphical representation of the model output allows for the rationalization of broad trends of process performance. The results of the simplified model are compared with a detailed VSA model that takes into account mass and heat transfer, column pressure drop and column switching, in order to understand its potential and limitations. A new classification metric to identify whether an adsorbent can produce CO2 purity and recovery that meet current US Department of Energy (US-DOE) for post-combustion CO2 capture and to calculate the corresponding parasitic energy is developed. The model, which can be evaluated within a few seconds, showed a classification Matthew correlation coefficient of 0.76 compared to 0.39, the best offered by any traditional metric. The model was also able to predict the energy consumption within 15% accuracy of the detailed model for 83% of the adsorbents studied. The developed metric and the correlation are then used to screen NIST/ARPA-E database to identify promising adsorbents for CO2 capture applications.
publishDate 2019
dc.date.none.fl_str_mv 2019-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/119059
Balashankar, Vishal Subramanian; Rajagopalan, Ashwin Kumar; De Pauw, R.; Avila, Adolfo María; Rajendran, Arvind; Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 58; 8; 2-2019; 3314-3328
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/119059
identifier_str_mv Balashankar, Vishal Subramanian; Rajagopalan, Ashwin Kumar; De Pauw, R.; Avila, Adolfo María; Rajendran, Arvind; Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO 2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 58; 8; 2-2019; 3314-3328
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.8b05420
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.8b05420
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842980046499741696
score 12.993085

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