Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation

Autores
Torres, Fabiana Belén; Gutierrez, Juan Pablo; Ale Ruiz, Elisa Liliana; Bertuzzi, Maria Alejandra; Erdmann, Eleonora
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Global warming is mainly caused by carbon dioxide (CO2). For natural gas streams that contain high lev-els of CO2, combining different technologies, such as absorption, adsorption, membrane, and cryogenic separation, may be more convenient for separating acid gas. This study focuses on a gas stream that con-tains 81.14 mole% of CO2. Two hybrid processes, membrane-absorption with amines and cryogenic-membrane, were evaluated for their capital cost, en-ergy and water consumption, and greenhouse gas (GHG) emissions under different operational condi-tions using ASPEN HYSYS V.12. The membrane-absorption system has the lowest CH4 losses, while the hybrid cryogenic-membrane system has lower energy and water requirements and 69% less GHG emissions than the membrane-amine hybrid system. The cryo-genic-membrane system is suitable for enhanced oil recovery (EOR) due to its high carbon dioxide purity and 30% lower operative costs, but requires a slightly higher initial investment.
Fil: Torres, Fabiana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Gutierrez, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Ale Ruiz, Elisa Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Bertuzzi, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ciencias Exactas; Argentina
Materia
CO2 CAPTURE
CRYOGENIC
MEMBRANE
SEPARATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/265410
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluationTorres, Fabiana BelénGutierrez, Juan PabloAle Ruiz, Elisa LilianaBertuzzi, Maria AlejandraErdmann, EleonoraCO2 CAPTURECRYOGENICMEMBRANESEPARATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Global warming is mainly caused by carbon dioxide (CO2). For natural gas streams that contain high lev-els of CO2, combining different technologies, such as absorption, adsorption, membrane, and cryogenic separation, may be more convenient for separating acid gas. This study focuses on a gas stream that con-tains 81.14 mole% of CO2. Two hybrid processes, membrane-absorption with amines and cryogenic-membrane, were evaluated for their capital cost, en-ergy and water consumption, and greenhouse gas (GHG) emissions under different operational condi-tions using ASPEN HYSYS V.12. The membrane-absorption system has the lowest CH4 losses, while the hybrid cryogenic-membrane system has lower energy and water requirements and 69% less GHG emissions than the membrane-amine hybrid system. The cryo-genic-membrane system is suitable for enhanced oil recovery (EOR) due to its high carbon dioxide purity and 30% lower operative costs, but requires a slightly higher initial investment.Fil: Torres, Fabiana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Gutierrez, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Ale Ruiz, Elisa Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Bertuzzi, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ciencias Exactas; ArgentinaUniversidad Nacional del Sur2024-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/265410Torres, Fabiana Belén; Gutierrez, Juan Pablo; Ale Ruiz, Elisa Liliana; Bertuzzi, Maria Alejandra; Erdmann, Eleonora; Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation; Universidad Nacional del Sur; Latin American Applied Research; 54; 3; 6-2024; 425-4300327-07931851-8796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://laar.plapiqui.edu.ar/OJS/index.php/laar/article/view/3280info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:07:00Zoai:ri.conicet.gov.ar:11336/265410instacron: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:34982026-08-25 15:07:00.717CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
title Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
spellingShingle Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
Torres, Fabiana Belén
CO2 CAPTURE
CRYOGENIC
MEMBRANE
SEPARATION
title_short Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
title_full Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
title_fullStr Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
title_full_unstemmed Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
title_sort Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation
dc.creator.none.fl_str_mv Torres, Fabiana Belén
Gutierrez, Juan Pablo
Ale Ruiz, Elisa Liliana
Bertuzzi, Maria Alejandra
Erdmann, Eleonora
author Torres, Fabiana Belén
author_facet Torres, Fabiana Belén
Gutierrez, Juan Pablo
Ale Ruiz, Elisa Liliana
Bertuzzi, Maria Alejandra
Erdmann, Eleonora
author_role author
author2 Gutierrez, Juan Pablo
Ale Ruiz, Elisa Liliana
Bertuzzi, Maria Alejandra
Erdmann, Eleonora
author2_role author
author
author
author
dc.subject.none.fl_str_mv CO2 CAPTURE
CRYOGENIC
MEMBRANE
SEPARATION
topic CO2 CAPTURE
CRYOGENIC
MEMBRANE
SEPARATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Global warming is mainly caused by carbon dioxide (CO2). For natural gas streams that contain high lev-els of CO2, combining different technologies, such as absorption, adsorption, membrane, and cryogenic separation, may be more convenient for separating acid gas. This study focuses on a gas stream that con-tains 81.14 mole% of CO2. Two hybrid processes, membrane-absorption with amines and cryogenic-membrane, were evaluated for their capital cost, en-ergy and water consumption, and greenhouse gas (GHG) emissions under different operational condi-tions using ASPEN HYSYS V.12. The membrane-absorption system has the lowest CH4 losses, while the hybrid cryogenic-membrane system has lower energy and water requirements and 69% less GHG emissions than the membrane-amine hybrid system. The cryo-genic-membrane system is suitable for enhanced oil recovery (EOR) due to its high carbon dioxide purity and 30% lower operative costs, but requires a slightly higher initial investment.
Fil: Torres, Fabiana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Gutierrez, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Ale Ruiz, Elisa Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Bertuzzi, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ciencias Exactas; Argentina
description Global warming is mainly caused by carbon dioxide (CO2). For natural gas streams that contain high lev-els of CO2, combining different technologies, such as absorption, adsorption, membrane, and cryogenic separation, may be more convenient for separating acid gas. This study focuses on a gas stream that con-tains 81.14 mole% of CO2. Two hybrid processes, membrane-absorption with amines and cryogenic-membrane, were evaluated for their capital cost, en-ergy and water consumption, and greenhouse gas (GHG) emissions under different operational condi-tions using ASPEN HYSYS V.12. The membrane-absorption system has the lowest CH4 losses, while the hybrid cryogenic-membrane system has lower energy and water requirements and 69% less GHG emissions than the membrane-amine hybrid system. The cryo-genic-membrane system is suitable for enhanced oil recovery (EOR) due to its high carbon dioxide purity and 30% lower operative costs, but requires a slightly higher initial investment.
publishDate 2024
dc.date.none.fl_str_mv 2024-06
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/11336/265410
Torres, Fabiana Belén; Gutierrez, Juan Pablo; Ale Ruiz, Elisa Liliana; Bertuzzi, Maria Alejandra; Erdmann, Eleonora; Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation; Universidad Nacional del Sur; Latin American Applied Research; 54; 3; 6-2024; 425-430
0327-0793
1851-8796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/265410
identifier_str_mv Torres, Fabiana Belén; Gutierrez, Juan Pablo; Ale Ruiz, Elisa Liliana; Bertuzzi, Maria Alejandra; Erdmann, Eleonora; Carbon dioxide capture by using hybrid system. Parametric sensitivity analysis and environmental and energy evaluation; Universidad Nacional del Sur; Latin American Applied Research; 54; 3; 6-2024; 425-430
0327-0793
1851-8796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://laar.plapiqui.edu.ar/OJS/index.php/laar/article/view/3280
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional del Sur
publisher.none.fl_str_mv Universidad Nacional del Sur
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
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score 13.265058

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