A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals

Autores
Mores, Patricia Liliana; Godoy, E.; Mussati, Sergio Fabian; Scenna, Nicolas Jose
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators? economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2captured, which can only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.
Fil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina
Fil: Godoy, E.. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina
Fil: Mussati, Sergio Fabian. 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
Materia
Natural Gas Combined Cycle Power Plant
Post-Combustion Co2capture System
Economic Optimization
Greenfield Design
Equations-Oriented Optimization
Coupled Plant Design
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:11336/7475

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network_name_str CONICET Digital (CONICET)
spelling A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goalsMores, Patricia LilianaGodoy, E.Mussati, Sergio FabianScenna, Nicolas JoseNatural Gas Combined Cycle Power PlantPost-Combustion Co2capture SystemEconomic OptimizationGreenfield DesignEquations-Oriented OptimizationCoupled Plant Designhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Fossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators? economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2captured, which can only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.Fil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; ArgentinaFil: Godoy, E.. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; ArgentinaFil: Mussati, Sergio Fabian. 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; ArgentinaInst Chemical Engineers2014-07info: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/11336/7475Mores, Patricia Liliana; Godoy, E.; Mussati, Sergio Fabian; Scenna, Nicolas Jose; A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals; Inst Chemical Engineers; Chemical Engineering Research & Design; 92; 7; 7-2014; 1329-13530263-8762enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0263876213005029info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cherd.2013.11.013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:56Zoai:ri.conicet.gov.ar:11336/7475instacron: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:34982025-09-29 09:45:57.128CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
title A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
spellingShingle A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
Mores, Patricia Liliana
Natural Gas Combined Cycle Power Plant
Post-Combustion Co2capture System
Economic Optimization
Greenfield Design
Equations-Oriented Optimization
Coupled Plant Design
title_short A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
title_full A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
title_fullStr A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
title_full_unstemmed A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
title_sort A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals
dc.creator.none.fl_str_mv Mores, Patricia Liliana
Godoy, E.
Mussati, Sergio Fabian
Scenna, Nicolas Jose
author Mores, Patricia Liliana
author_facet Mores, Patricia Liliana
Godoy, E.
Mussati, Sergio Fabian
Scenna, Nicolas Jose
author_role author
author2 Godoy, E.
Mussati, Sergio Fabian
Scenna, Nicolas Jose
author2_role author
author
author
dc.subject.none.fl_str_mv Natural Gas Combined Cycle Power Plant
Post-Combustion Co2capture System
Economic Optimization
Greenfield Design
Equations-Oriented Optimization
Coupled Plant Design
topic Natural Gas Combined Cycle Power Plant
Post-Combustion Co2capture System
Economic Optimization
Greenfield Design
Equations-Oriented Optimization
Coupled Plant Design
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Fossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators? economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2captured, which can only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.
Fil: Mores, Patricia Liliana. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina
Fil: Godoy, E.. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina
Fil: Mussati, Sergio Fabian. 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
description Fossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators? economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2captured, which can only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.
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/11336/7475
Mores, Patricia Liliana; Godoy, E.; Mussati, Sergio Fabian; Scenna, Nicolas Jose; A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals; Inst Chemical Engineers; Chemical Engineering Research & Design; 92; 7; 7-2014; 1329-1353
0263-8762
url http://hdl.handle.net/11336/7475
identifier_str_mv Mores, Patricia Liliana; Godoy, E.; Mussati, Sergio Fabian; Scenna, Nicolas Jose; A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation capture goals; Inst Chemical Engineers; Chemical Engineering Research & Design; 92; 7; 7-2014; 1329-1353
0263-8762
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0263876213005029
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cherd.2013.11.013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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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 Inst Chemical Engineers
publisher.none.fl_str_mv Inst Chemical Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
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