Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines

Autores
Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model parameters. Using a mathematical programming approach and a detailed model the optimal design of the entire process (absorption, amine regeneration, compression stage, and energy recovery system) is investigated. For a more general discussion, two optimal designs that differ on how the total operating cost is computed are discussed. In the former case, the operating cost includes the MEA and H2O make-ups and cooling water costs. In the second case the cost of the steam required in the reboiler and the total electricity cost are also included. In both cases, the entire process is simultaneously optimized in order to determine the optimal sizes of each process unit and the operating conditions that minimize the specific total cost. The solutions obtained for both objective functions are compared in detail. Then, sensitivity analyses are performed in order to identify and to investigate how the two optimal designs are modified with the variations of the model parameters. Among others, the results revealed that the specific total cost varies from −0.10 to 7.7% when the parameters are ±2.5% of their nominal values. However, significant differences are observed in the optimal sizes in several process units (variations up to 118.30% depending on the case) and also in the requirements of steam, electricity and cooling water (variations up to 27.60% depending on the case). The numerical results that support the conclusions are presented and discussed through several optimization solutions.
Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Co2 Capture Processes
Optimal Design
Simultaneous Optimization Approach
Chemical Absorption with Amines
Sensitivity Analysis
Mathematical Programming
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:11336/22445
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/22445
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with aminesArias, Ana MarisaMores, Patricia LilianaScenna, Nicolas JoseMussati, Sergio FabianCo2 Capture ProcessesOptimal DesignSimultaneous Optimization ApproachChemical Absorption with AminesSensitivity AnalysisMathematical Programminghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model parameters. Using a mathematical programming approach and a detailed model the optimal design of the entire process (absorption, amine regeneration, compression stage, and energy recovery system) is investigated. For a more general discussion, two optimal designs that differ on how the total operating cost is computed are discussed. In the former case, the operating cost includes the MEA and H2O make-ups and cooling water costs. In the second case the cost of the steam required in the reboiler and the total electricity cost are also included. In both cases, the entire process is simultaneously optimized in order to determine the optimal sizes of each process unit and the operating conditions that minimize the specific total cost. The solutions obtained for both objective functions are compared in detail. Then, sensitivity analyses are performed in order to identify and to investigate how the two optimal designs are modified with the variations of the model parameters. Among others, the results revealed that the specific total cost varies from −0.10 to 7.7% when the parameters are ±2.5% of their nominal values. However, significant differences are observed in the optimal sizes in several process units (variations up to 118.30% depending on the case) and also in the requirements of steam, electricity and cooling water (variations up to 27.60% depending on the case). The numerical results that support the conclusions are presented and discussed through several optimization solutions.Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; ArgentinaFil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; ArgentinaFil: Scenna, Nicolas Jose. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; ArgentinaFil: Mussati, Sergio Fabian. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaElsevier2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22445Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines; Elsevier; Journal Of Cleaner Production; 115; 12-2015; 315-3310959-6526CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jclepro.2015.12.056info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0959652615018806info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:29Zoai:ri.conicet.gov.ar:11336/22445instacron: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 13:08:29.674CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
title Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
spellingShingle Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
Arias, Ana Marisa
Co2 Capture Processes
Optimal Design
Simultaneous Optimization Approach
Chemical Absorption with Amines
Sensitivity Analysis
Mathematical Programming
title_short Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
title_full Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
title_fullStr Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
title_full_unstemmed Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
title_sort Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
dc.creator.none.fl_str_mv Arias, Ana Marisa
Mores, Patricia Liliana
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author Arias, Ana Marisa
author_facet Arias, Ana Marisa
Mores, Patricia Liliana
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author_role author
author2 Mores, Patricia Liliana
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author2_role author
author
author
dc.subject.none.fl_str_mv Co2 Capture Processes
Optimal Design
Simultaneous Optimization Approach
Chemical Absorption with Amines
Sensitivity Analysis
Mathematical Programming
topic Co2 Capture Processes
Optimal Design
Simultaneous Optimization Approach
Chemical Absorption with Amines
Sensitivity Analysis
Mathematical Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model parameters. Using a mathematical programming approach and a detailed model the optimal design of the entire process (absorption, amine regeneration, compression stage, and energy recovery system) is investigated. For a more general discussion, two optimal designs that differ on how the total operating cost is computed are discussed. In the former case, the operating cost includes the MEA and H2O make-ups and cooling water costs. In the second case the cost of the steam required in the reboiler and the total electricity cost are also included. In both cases, the entire process is simultaneously optimized in order to determine the optimal sizes of each process unit and the operating conditions that minimize the specific total cost. The solutions obtained for both objective functions are compared in detail. Then, sensitivity analyses are performed in order to identify and to investigate how the two optimal designs are modified with the variations of the model parameters. Among others, the results revealed that the specific total cost varies from −0.10 to 7.7% when the parameters are ±2.5% of their nominal values. However, significant differences are observed in the optimal sizes in several process units (variations up to 118.30% depending on the case) and also in the requirements of steam, electricity and cooling water (variations up to 27.60% depending on the case). The numerical results that support the conclusions are presented and discussed through several optimization solutions.
Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model parameters. Using a mathematical programming approach and a detailed model the optimal design of the entire process (absorption, amine regeneration, compression stage, and energy recovery system) is investigated. For a more general discussion, two optimal designs that differ on how the total operating cost is computed are discussed. In the former case, the operating cost includes the MEA and H2O make-ups and cooling water costs. In the second case the cost of the steam required in the reboiler and the total electricity cost are also included. In both cases, the entire process is simultaneously optimized in order to determine the optimal sizes of each process unit and the operating conditions that minimize the specific total cost. The solutions obtained for both objective functions are compared in detail. Then, sensitivity analyses are performed in order to identify and to investigate how the two optimal designs are modified with the variations of the model parameters. Among others, the results revealed that the specific total cost varies from −0.10 to 7.7% when the parameters are ±2.5% of their nominal values. However, significant differences are observed in the optimal sizes in several process units (variations up to 118.30% depending on the case) and also in the requirements of steam, electricity and cooling water (variations up to 27.60% depending on the case). The numerical results that support the conclusions are presented and discussed through several optimization solutions.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/22445
Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines; Elsevier; Journal Of Cleaner Production; 115; 12-2015; 315-331
0959-6526
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22445
identifier_str_mv Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines; Elsevier; Journal Of Cleaner Production; 115; 12-2015; 315-331
0959-6526
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jclepro.2015.12.056
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0959652615018806
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.004268

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