Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.

Autores
Godoy, Ezequiel; Benz, Sonia Judith; Scenna, Nicolás José
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A strategy for the solution of the optimization problem of minimum cost of combined cycle gas turbine power plants is presented. Specific relationships, valid at the optimal solution, among selected decision variables are used to introduce new constraints to the optimization problem. Then, the feasible region is reduced to a “single point”, and the resolution strategy becomes equivalent to solving the resultant set of non-linear equations system and constraint equations so achieved to optimize the system. This approach can also be used to achieve reduced models for real time optimization problems.
Fil: Godoy, Ezequiel. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Benz, Sonia Judith. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
Materia
Plantas de energía
Ingeniería
Estrategias de optimización
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-04-03T20:25:00Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/10290
Acceder
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network_acronym_str RIAUTN
repository_id_str a
network_name_str Repositorio Institucional Abierto (UTN)
spelling Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.Godoy, EzequielBenz, Sonia JudithScenna, Nicolás JoséPlantas de energíaIngenieríaEstrategias de optimizaciónA strategy for the solution of the optimization problem of minimum cost of combined cycle gas turbine power plants is presented. Specific relationships, valid at the optimal solution, among selected decision variables are used to introduce new constraints to the optimization problem. Then, the feasible region is reduced to a “single point”, and the resolution strategy becomes equivalent to solving the resultant set of non-linear equations system and constraint equations so achieved to optimize the system. This approach can also be used to achieve reduced models for real time optimization problems.Fil: Godoy, Ezequiel. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Benz, Sonia Judith. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.2024-04-03T20:25:00Z2024-04-03T20:25:00Z2010-07info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfInternational Conference on Continuous Optimization ICCOPT 2010, 26 al 29 de Julio de 2010, Santiago, Chilehttp://hdl.handle.net/20.500.12272/10290enginfo:eu-repo/semantics/openAccess2024-04-03T20:25:00Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalAcceso abierto.reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:44:08Zoai:ria.utn.edu.ar:20.500.12272/10290instacron: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 12:44:09.615Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
title Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
spellingShingle Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
Godoy, Ezequiel
Plantas de energía
Ingeniería
Estrategias de optimización
title_short Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
title_full Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
title_fullStr Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
title_full_unstemmed Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
title_sort Strategy for optimization of CCGT power plants by solving a simple nonlinear equations system and constraint equations.
dc.creator.none.fl_str_mv Godoy, Ezequiel
Benz, Sonia Judith
Scenna, Nicolás José
author Godoy, Ezequiel
author_facet Godoy, Ezequiel
Benz, Sonia Judith
Scenna, Nicolás José
author_role author
author2 Benz, Sonia Judith
Scenna, Nicolás José
author2_role author
author
dc.subject.none.fl_str_mv Plantas de energía
Ingeniería
Estrategias de optimización
topic Plantas de energía
Ingeniería
Estrategias de optimización
dc.description.none.fl_txt_mv A strategy for the solution of the optimization problem of minimum cost of combined cycle gas turbine power plants is presented. Specific relationships, valid at the optimal solution, among selected decision variables are used to introduce new constraints to the optimization problem. Then, the feasible region is reduced to a “single point”, and the resolution strategy becomes equivalent to solving the resultant set of non-linear equations system and constraint equations so achieved to optimize the system. This approach can also be used to achieve reduced models for real time optimization problems.
Fil: Godoy, Ezequiel. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Benz, Sonia Judith. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas al Modelado en Ingeniería (CAIMI) ; Argentina.
description A strategy for the solution of the optimization problem of minimum cost of combined cycle gas turbine power plants is presented. Specific relationships, valid at the optimal solution, among selected decision variables are used to introduce new constraints to the optimization problem. Then, the feasible region is reduced to a “single point”, and the resolution strategy becomes equivalent to solving the resultant set of non-linear equations system and constraint equations so achieved to optimize the system. This approach can also be used to achieve reduced models for real time optimization problems.
publishDate 2010
dc.date.none.fl_str_mv 2010-07
2024-04-03T20:25:00Z
2024-04-03T20:25:00Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv International Conference on Continuous Optimization ICCOPT 2010, 26 al 29 de Julio de 2010, Santiago, Chile
http://hdl.handle.net/20.500.12272/10290
identifier_str_mv International Conference on Continuous Optimization ICCOPT 2010, 26 al 29 de Julio de 2010, Santiago, Chile
url http://hdl.handle.net/20.500.12272/10290
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-04-03T20:25:00Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto.
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-04-03T20:25:00Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto.
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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score 13.265058

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