Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture

Autores
Manassaldi, Juan Ignacio; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper deals with the simultaneous optimization of the operating conditions and sizes of each one of the process units of a natural gas combined cycle coupled to a postcombustion CO2 capture system. Precisely, from the mathematical models previously developed by the authors for each stand-alone process, a new optimization nonlinear programming (NLP) model is proposed in order to optimize the whole process but with the main characteristic that several feasible alternatives to integrate both processes are simultaneously embedded. Therefore, as a result of the model, the best integration schema, optimal operating conditions, and size of each process unit are obtained at the same time. No integer variables are needed to model discrete decisions in both processes. The maximization of the overall thermal efficiency is considered as an objective function. However, the proposed NLP model can be easily extended into a mixed-integer nonlinear programming (MINLP) model if it is necessary for cost minimization. The optimization results are discussed in detail, and they are compared with suboptimal configurations including reference cases.
Fil: Manassaldi, Juan Ignacio. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Materia
Co2 Capture
Optimization
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:11336/7470
Acceder
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spelling Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 CaptureManassaldi, Juan IgnacioMores, Patricia LilianaScenna, Nicolas JoseMussati, Sergio FabianCo2 CaptureOptimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2This paper deals with the simultaneous optimization of the operating conditions and sizes of each one of the process units of a natural gas combined cycle coupled to a postcombustion CO2 capture system. Precisely, from the mathematical models previously developed by the authors for each stand-alone process, a new optimization nonlinear programming (NLP) model is proposed in order to optimize the whole process but with the main characteristic that several feasible alternatives to integrate both processes are simultaneously embedded. Therefore, as a result of the model, the best integration schema, optimal operating conditions, and size of each process unit are obtained at the same time. No integer variables are needed to model discrete decisions in both processes. The maximization of the overall thermal efficiency is considered as an objective function. However, the proposed NLP model can be easily extended into a mixed-integer nonlinear programming (MINLP) model if it is necessary for cost minimization. The optimization results are discussed in detail, and they are compared with suboptimal configurations including reference cases.Fil: Manassaldi, Juan Ignacio. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaAmerican Chemical Society2014-07info: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/11336/7470Manassaldi, Juan Ignacio; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 17026-170420888-5885enginfo:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie5004637info:eu-repo/semantics/altIdentifier/doi/10.1021/ie5004637info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:25Zoai:ri.conicet.gov.ar:11336/7470instacron: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:34982025-09-03 09:55:25.983CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
title Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
spellingShingle Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
Manassaldi, Juan Ignacio
Co2 Capture
Optimization
title_short Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
title_full Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
title_fullStr Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
title_full_unstemmed Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
title_sort Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture
dc.creator.none.fl_str_mv Manassaldi, Juan Ignacio
Mores, Patricia Liliana
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author Manassaldi, Juan Ignacio
author_facet Manassaldi, Juan Ignacio
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
Optimization
topic Co2 Capture
Optimization
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper deals with the simultaneous optimization of the operating conditions and sizes of each one of the process units of a natural gas combined cycle coupled to a postcombustion CO2 capture system. Precisely, from the mathematical models previously developed by the authors for each stand-alone process, a new optimization nonlinear programming (NLP) model is proposed in order to optimize the whole process but with the main characteristic that several feasible alternatives to integrate both processes are simultaneously embedded. Therefore, as a result of the model, the best integration schema, optimal operating conditions, and size of each process unit are obtained at the same time. No integer variables are needed to model discrete decisions in both processes. The maximization of the overall thermal efficiency is considered as an objective function. However, the proposed NLP model can be easily extended into a mixed-integer nonlinear programming (MINLP) model if it is necessary for cost minimization. The optimization results are discussed in detail, and they are compared with suboptimal configurations including reference cases.
Fil: Manassaldi, Juan Ignacio. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
description This paper deals with the simultaneous optimization of the operating conditions and sizes of each one of the process units of a natural gas combined cycle coupled to a postcombustion CO2 capture system. Precisely, from the mathematical models previously developed by the authors for each stand-alone process, a new optimization nonlinear programming (NLP) model is proposed in order to optimize the whole process but with the main characteristic that several feasible alternatives to integrate both processes are simultaneously embedded. Therefore, as a result of the model, the best integration schema, optimal operating conditions, and size of each process unit are obtained at the same time. No integer variables are needed to model discrete decisions in both processes. The maximization of the overall thermal efficiency is considered as an objective function. However, the proposed NLP model can be easily extended into a mixed-integer nonlinear programming (MINLP) model if it is necessary for cost minimization. The optimization results are discussed in detail, and they are compared with suboptimal configurations including reference cases.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
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/11336/7470
Manassaldi, Juan Ignacio; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 17026-17042
0888-5885
url http://hdl.handle.net/11336/7470
identifier_str_mv Manassaldi, Juan Ignacio; Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design and Operating Conditions of an Integrated Plant Using a Natural Gas Combined Cycle and Postcombustion CO2 Capture; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 17026-17042
0888-5885
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie5004637
info:eu-repo/semantics/altIdentifier/doi/10.1021/ie5004637
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
application/pdf
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
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score 13.13397

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