Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.

Autores
Mores, Patricia Liliana; Manassaldi, Juan Ignacio; Scenna, Nicolás José; Caballero, José Antonio; Mussati, Miguel Ceferino; Mussati, Sergio Fabián
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper deals with the optimization of the coupling between a natural gas combined cycle (NGCC plant and a post-combustion CO2 capture process by minimizing the mitigation cost – defined as the ratio between the cost of electric power generation and the amount of CO2 emitted per unit of total net electric power generated – while satisfying the design specifications: electric power generation capacity and CO2 capture level. Three candidate coupling configurations, which differ in the place where the steam is extracted from, are optimized using detailed and rigorous models for both the NGCC and the CO2 capture plants. By comparing the mitigation cost of each configuration, the optimal integration configuration and the corresponding optimal sizes and operating conditions of all process units (steam turbines, gas turbines, heat recovery steam generators HRSGs, absorption and regeneration columns, reboilers and condensers, and pumps) are provided. In the computed optimal solution, the steam required by the CO2 capture plant is extracted from both the steam turbine and the HRSG (evaporator operating at low pressure), and the mitigation cost is 90.88 $/t CO2. The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes. These solutions are compared in detail regarding capital investment.
Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Manassaldi, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.
Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Peer Reviewed
Materia
Natural gas combined cycle NGCC
Post-combustion CO2 capture
Mitigation cost, optimal coupling schemes
NLP model
GAMS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-03-27T19:01:31Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/10211

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network_name_str Repositorio Institucional Abierto (UTN)
spelling Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.Mores, Patricia LilianaManassaldi, Juan IgnacioScenna, Nicolás JoséCaballero, José AntonioMussati, Miguel CeferinoMussati, Sergio FabiánNatural gas combined cycle NGCCPost-combustion CO2 captureMitigation cost, optimal coupling schemesNLP modelGAMSThis paper deals with the optimization of the coupling between a natural gas combined cycle (NGCC plant and a post-combustion CO2 capture process by minimizing the mitigation cost – defined as the ratio between the cost of electric power generation and the amount of CO2 emitted per unit of total net electric power generated – while satisfying the design specifications: electric power generation capacity and CO2 capture level. Three candidate coupling configurations, which differ in the place where the steam is extracted from, are optimized using detailed and rigorous models for both the NGCC and the CO2 capture plants. By comparing the mitigation cost of each configuration, the optimal integration configuration and the corresponding optimal sizes and operating conditions of all process units (steam turbines, gas turbines, heat recovery steam generators HRSGs, absorption and regeneration columns, reboilers and condensers, and pumps) are provided. In the computed optimal solution, the steam required by the CO2 capture plant is extracted from both the steam turbine and the HRSG (evaporator operating at low pressure), and the mitigation cost is 90.88 $/t CO2. The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes. These solutions are compared in detail regarding capital investment.Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina. Fil: Manassaldi, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.Peer Reviewed2024-03-27T19:01:31Z2024-03-27T19:01:31Z2017-10-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfChemical Engineering Journal, 331, 870-894.1385-8947http://hdl.handle.net/20.500.12272/10211https://doi.org/10.1016/j.cej.2017.08.111enginfo:eu-repo/semantics/openAccess2024-03-27T19:01:31Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalAcceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:46:51Zoai:ria.utn.edu.ar:20.500.12272/10211instacron: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:a2026-09-24 12:46:53.389Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
title Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
spellingShingle Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
Mores, Patricia Liliana
Natural gas combined cycle NGCC
Post-combustion CO2 capture
Mitigation cost, optimal coupling schemes
NLP model
GAMS
title_short Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
title_full Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
title_fullStr Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
title_full_unstemmed Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
title_sort Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost.
dc.creator.none.fl_str_mv Mores, Patricia Liliana
Manassaldi, Juan Ignacio
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Miguel Ceferino
Mussati, Sergio Fabián
author Mores, Patricia Liliana
author_facet Mores, Patricia Liliana
Manassaldi, Juan Ignacio
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Miguel Ceferino
Mussati, Sergio Fabián
author_role author
author2 Manassaldi, Juan Ignacio
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Miguel Ceferino
Mussati, Sergio Fabián
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Natural gas combined cycle NGCC
Post-combustion CO2 capture
Mitigation cost, optimal coupling schemes
NLP model
GAMS
topic Natural gas combined cycle NGCC
Post-combustion CO2 capture
Mitigation cost, optimal coupling schemes
NLP model
GAMS
dc.description.none.fl_txt_mv This paper deals with the optimization of the coupling between a natural gas combined cycle (NGCC plant and a post-combustion CO2 capture process by minimizing the mitigation cost – defined as the ratio between the cost of electric power generation and the amount of CO2 emitted per unit of total net electric power generated – while satisfying the design specifications: electric power generation capacity and CO2 capture level. Three candidate coupling configurations, which differ in the place where the steam is extracted from, are optimized using detailed and rigorous models for both the NGCC and the CO2 capture plants. By comparing the mitigation cost of each configuration, the optimal integration configuration and the corresponding optimal sizes and operating conditions of all process units (steam turbines, gas turbines, heat recovery steam generators HRSGs, absorption and regeneration columns, reboilers and condensers, and pumps) are provided. In the computed optimal solution, the steam required by the CO2 capture plant is extracted from both the steam turbine and the HRSG (evaporator operating at low pressure), and the mitigation cost is 90.88 $/t CO2. The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes. These solutions are compared in detail regarding capital investment.
Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Manassaldi, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.
Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Peer Reviewed
description This paper deals with the optimization of the coupling between a natural gas combined cycle (NGCC plant and a post-combustion CO2 capture process by minimizing the mitigation cost – defined as the ratio between the cost of electric power generation and the amount of CO2 emitted per unit of total net electric power generated – while satisfying the design specifications: electric power generation capacity and CO2 capture level. Three candidate coupling configurations, which differ in the place where the steam is extracted from, are optimized using detailed and rigorous models for both the NGCC and the CO2 capture plants. By comparing the mitigation cost of each configuration, the optimal integration configuration and the corresponding optimal sizes and operating conditions of all process units (steam turbines, gas turbines, heat recovery steam generators HRSGs, absorption and regeneration columns, reboilers and condensers, and pumps) are provided. In the computed optimal solution, the steam required by the CO2 capture plant is extracted from both the steam turbine and the HRSG (evaporator operating at low pressure), and the mitigation cost is 90.88 $/t CO2. The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes. These solutions are compared in detail regarding capital investment.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-04
2024-03-27T19:01:31Z
2024-03-27T19:01:31Z
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 Chemical Engineering Journal, 331, 870-894.
1385-8947
http://hdl.handle.net/20.500.12272/10211
https://doi.org/10.1016/j.cej.2017.08.111
identifier_str_mv Chemical Engineering Journal, 331, 870-894.
1385-8947
url http://hdl.handle.net/20.500.12272/10211
https://doi.org/10.1016/j.cej.2017.08.111
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-03-27T19:01:31Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-03-27T19:01:31Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.
dc.format.none.fl_str_mv pdf
application/pdf
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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