Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants

Autores
Godoy, Ezequiel; Scenna, Nicolás José; Benz, Sonia Judith
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Optimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a nonlinear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area.
Fil: Godoy, Ezequiel. UTN. FRRo. CAIMI; Argentina
Fil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; Argentina
Fil: Benz, Sonia Judith. UTN. FRRo. CAIMI; Argentina
Peer Reviewed
Materia
UTN
FRRo
CAIMI
CCGT
power plant
thermodynamic optimization
families of optimal solutions
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:20.500.12272/1515
Acceder
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oai_identifier_str oai:ria.utn.edu.ar:20.500.12272/1515
network_acronym_str RIAUTN
repository_id_str a
network_name_str Repositorio Institucional Abierto (UTN)
spelling Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plantsGodoy, EzequielScenna, Nicolás JoséBenz, Sonia JudithUTNFRRoCAIMICCGTpower plantthermodynamic optimizationfamilies of optimal solutionsOptimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a nonlinear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area.Fil: Godoy, Ezequiel. UTN. FRRo. CAIMI; ArgentinaFil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; ArgentinaFil: Benz, Sonia Judith. UTN. FRRo. CAIMI; ArgentinaPeer ReviewedElsevier2017-06-07T23:38:26Z2017-06-07T23:38:26Z2009-10-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfFamilies of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants, Applied Thermal Engineering 30: 569-576 (2010).http://hdl.handle.net/20.500.12272/1515enghttps://doi.org/10.1016/j.applthermaleng.2009.10.022info: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 Nacional2025-09-11T10:50:17Zoai:ria.utn.edu.ar:20.500.12272/1515instacron: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:a2025-09-11 10:50:17.377Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
title Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
spellingShingle Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
Godoy, Ezequiel
UTN
FRRo
CAIMI
CCGT
power plant
thermodynamic optimization
families of optimal solutions
title_short Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
title_full Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
title_fullStr Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
title_full_unstemmed Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
title_sort Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
dc.creator.none.fl_str_mv Godoy, Ezequiel
Scenna, Nicolás José
Benz, Sonia Judith
author Godoy, Ezequiel
author_facet Godoy, Ezequiel
Scenna, Nicolás José
Benz, Sonia Judith
author_role author
author2 Scenna, Nicolás José
Benz, Sonia Judith
author2_role author
author
dc.subject.none.fl_str_mv UTN
FRRo
CAIMI
CCGT
power plant
thermodynamic optimization
families of optimal solutions
topic UTN
FRRo
CAIMI
CCGT
power plant
thermodynamic optimization
families of optimal solutions
dc.description.none.fl_txt_mv Optimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a nonlinear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area.
Fil: Godoy, Ezequiel. UTN. FRRo. CAIMI; Argentina
Fil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; Argentina
Fil: Benz, Sonia Judith. UTN. FRRo. CAIMI; Argentina
Peer Reviewed
description Optimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a nonlinear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area.
publishDate 2009
dc.date.none.fl_str_mv 2009-10-30
2017-06-07T23:38:26Z
2017-06-07T23:38:26Z
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 Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants, Applied Thermal Engineering 30: 569-576 (2010).
http://hdl.handle.net/20.500.12272/1515
identifier_str_mv Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants, Applied Thermal Engineering 30: 569-576 (2010).
url http://hdl.handle.net/20.500.12272/1515
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.applthermaleng.2009.10.022
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
_version_ 1842976658053660672
score 12.993085

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