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

Autores
Mores, Patricia Liliana; Godoy, Ezequiel; Mussati, Sergio Fabián; Scenna, Nicolás José
Año de publicación
2013
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 CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina 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. UTN. FRRo. CAIMI; Argentina
Fil: Godoy, Ezequiel. UTN. FRRo. CAIMI; Argentina
Fil: Mussati, Sergio Fabián. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; Argentina
Fil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentina
Peer Reviewed
Materia
UTN
FRRo
CAIMI
natural gas combined cycle power plant
post-combustion CO2 capture system
economic optimization
greenfield design
equations-oriented optimization
coupled plant design
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/1516

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network_name_str Repositorio Institucional Abierto (UTN)
spelling A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goalsMores, Patricia LilianaGodoy, EzequielMussati, Sergio FabiánScenna, Nicolás JoséUTNFRRoCAIMInatural gas combined cycle power plantpost-combustion CO2 capture systemeconomic optimizationgreenfield designequations-oriented optimizationcoupled plant designFossil 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 CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina 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. UTN. FRRo. CAIMI; ArgentinaFil: Godoy, Ezequiel. UTN. FRRo. CAIMI; ArgentinaFil: Mussati, Sergio Fabián. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; ArgentinaFil: Scenna, Nicolás José. UTN. FRRo. CAIMI; ArgentinaPeer ReviewedElsevier2017-06-08T13:43:55Z2017-06-08T13:43:55Z2013-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfA NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goals, Chemical Engineering Research and Design 92: 1329-1353 (2014).http://hdl.handle.net/20.500.12272/1516enghttp://dx.doi.org/10.1016/j.cherd.2013.11.013info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/ElsevierAtribución – No Comercial – Sin Obra Derivada (by-nc-nd): No se permite un uso comercial de la obra original ni la generación de obras derivadas. Esta licencia no es una licencia libre, y es la más cercana al derecho de autor tradicional. https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esAttribution-NonCommercial-NoDerivatives 4.0 Internacionalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-09-04T11:14:44Zoai:ria.utn.edu.ar:20.500.12272/1516instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-04 11:14:44.925Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
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
UTN
FRRo
CAIMI
natural gas combined cycle power plant
post-combustion CO2 capture 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, Ezequiel
Mussati, Sergio Fabián
Scenna, Nicolás José
author Mores, Patricia Liliana
author_facet Mores, Patricia Liliana
Godoy, Ezequiel
Mussati, Sergio Fabián
Scenna, Nicolás José
author_role author
author2 Godoy, Ezequiel
Mussati, Sergio Fabián
Scenna, Nicolás José
author2_role author
author
author
dc.subject.none.fl_str_mv UTN
FRRo
CAIMI
natural gas combined cycle power plant
post-combustion CO2 capture system
economic optimization
greenfield design
equations-oriented optimization
coupled plant design
topic UTN
FRRo
CAIMI
natural gas combined cycle power plant
post-combustion CO2 capture system
economic optimization
greenfield design
equations-oriented optimization
coupled plant design
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 CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina 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. UTN. FRRo. CAIMI; Argentina
Fil: Godoy, Ezequiel. UTN. FRRo. CAIMI; Argentina
Fil: Mussati, Sergio Fabián. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; Argentina
Fil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentina
Peer Reviewed
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 CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.
publishDate 2013
dc.date.none.fl_str_mv 2013-11-13
2017-06-08T13:43:55Z
2017-06-08T13:43:55Z
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 A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goals, Chemical Engineering Research and Design 92: 1329-1353 (2014).
http://hdl.handle.net/20.500.12272/1516
identifier_str_mv A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goals, Chemical Engineering Research and Design 92: 1329-1353 (2014).
url http://hdl.handle.net/20.500.12272/1516
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/j.cherd.2013.11.013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Elsevier
Atribución – No Comercial – Sin Obra Derivada (by-nc-nd): No se permite un uso comercial de la obra original ni la generación de obras derivadas. Esta licencia no es una licencia libre, y es la más cercana al derecho de autor tradicional. https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Elsevier
Atribución – No Comercial – Sin Obra Derivada (by-nc-nd): No se permite un uso comercial de la obra original ni la generación de obras derivadas. Esta licencia no es una licencia libre, y es la más cercana al derecho de autor tradicional. https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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