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
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/1516
Ver los metadatos del registro completo
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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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1842344358670499840 |
score |
12.623145 |