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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/7475
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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 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 |
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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |