Operation of the argentinean interconnected electricity network

Autores
Martinez, Pablo Enrique; Eliceche, Ana Maria
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A methodology to select optimally the electricity generation plants of the Argentinian interconnected network is developed. The electricity generation grid has different fossil fuel, hydroelectric and nuclear power stations. The power plants configuration connected to die grid and their operating loads are selected minimizing life cycle greenhouse gas emissions and operating cost simultaneously. A life cycle approach to estimate greenhouse gas emissions of thermoelectric, hydroelectric and nuclear power plants is followed. Binary operating variables represent discrete decisions to select which power plant is connected to the grid and the type of fossil fuel used. Continuous operating variables are introduced to select the optimal load for each power plant. A mixed integer linear programming problem is formulated and solved in GAMS. Significant reductions in green house emissions and operating cost are achieved simultaneously in the operation of die electricity network. Thus, a useful tool to support a decision-making process in the operation of a key energy sector is presented. © 2009 Elsevier B.V. All rights reserved.
Fil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
Cost
Greenhouse Emissions
Interconnected Electricity Network
Operation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/62691
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/62691
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Operation of the argentinean interconnected electricity networkMartinez, Pablo EnriqueEliceche, Ana MariaCostGreenhouse EmissionsInterconnected Electricity NetworkOperationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A methodology to select optimally the electricity generation plants of the Argentinian interconnected network is developed. The electricity generation grid has different fossil fuel, hydroelectric and nuclear power stations. The power plants configuration connected to die grid and their operating loads are selected minimizing life cycle greenhouse gas emissions and operating cost simultaneously. A life cycle approach to estimate greenhouse gas emissions of thermoelectric, hydroelectric and nuclear power plants is followed. Binary operating variables represent discrete decisions to select which power plant is connected to the grid and the type of fossil fuel used. Continuous operating variables are introduced to select the optimal load for each power plant. A mixed integer linear programming problem is formulated and solved in GAMS. Significant reductions in green house emissions and operating cost are achieved simultaneously in the operation of die electricity network. Thus, a useful tool to support a decision-making process in the operation of a key energy sector is presented. © 2009 Elsevier B.V. All rights reserved.Fil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaElsevier Science2009-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62691Martinez, Pablo Enrique; Eliceche, Ana Maria; Operation of the argentinean interconnected electricity network; Elsevier Science; Computer Aided Chemical Engineering; 27; C; 8-2009; 2001-20061570-7946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1570794609707242info:eu-repo/semantics/altIdentifier/doi/10.1016/S1570-7946(09)70724-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:12:13Zoai:ri.conicet.gov.ar:11336/62691instacron: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:34982025-09-10 13:12:14.023CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Operation of the argentinean interconnected electricity network
title Operation of the argentinean interconnected electricity network
spellingShingle Operation of the argentinean interconnected electricity network
Martinez, Pablo Enrique
Cost
Greenhouse Emissions
Interconnected Electricity Network
Operation
title_short Operation of the argentinean interconnected electricity network
title_full Operation of the argentinean interconnected electricity network
title_fullStr Operation of the argentinean interconnected electricity network
title_full_unstemmed Operation of the argentinean interconnected electricity network
title_sort Operation of the argentinean interconnected electricity network
dc.creator.none.fl_str_mv Martinez, Pablo Enrique
Eliceche, Ana Maria
author Martinez, Pablo Enrique
author_facet Martinez, Pablo Enrique
Eliceche, Ana Maria
author_role author
author2 Eliceche, Ana Maria
author2_role author
dc.subject.none.fl_str_mv Cost
Greenhouse Emissions
Interconnected Electricity Network
Operation
topic Cost
Greenhouse Emissions
Interconnected Electricity Network
Operation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A methodology to select optimally the electricity generation plants of the Argentinian interconnected network is developed. The electricity generation grid has different fossil fuel, hydroelectric and nuclear power stations. The power plants configuration connected to die grid and their operating loads are selected minimizing life cycle greenhouse gas emissions and operating cost simultaneously. A life cycle approach to estimate greenhouse gas emissions of thermoelectric, hydroelectric and nuclear power plants is followed. Binary operating variables represent discrete decisions to select which power plant is connected to the grid and the type of fossil fuel used. Continuous operating variables are introduced to select the optimal load for each power plant. A mixed integer linear programming problem is formulated and solved in GAMS. Significant reductions in green house emissions and operating cost are achieved simultaneously in the operation of die electricity network. Thus, a useful tool to support a decision-making process in the operation of a key energy sector is presented. © 2009 Elsevier B.V. All rights reserved.
Fil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description A methodology to select optimally the electricity generation plants of the Argentinian interconnected network is developed. The electricity generation grid has different fossil fuel, hydroelectric and nuclear power stations. The power plants configuration connected to die grid and their operating loads are selected minimizing life cycle greenhouse gas emissions and operating cost simultaneously. A life cycle approach to estimate greenhouse gas emissions of thermoelectric, hydroelectric and nuclear power plants is followed. Binary operating variables represent discrete decisions to select which power plant is connected to the grid and the type of fossil fuel used. Continuous operating variables are introduced to select the optimal load for each power plant. A mixed integer linear programming problem is formulated and solved in GAMS. Significant reductions in green house emissions and operating cost are achieved simultaneously in the operation of die electricity network. Thus, a useful tool to support a decision-making process in the operation of a key energy sector is presented. © 2009 Elsevier B.V. All rights reserved.
publishDate 2009
dc.date.none.fl_str_mv 2009-08
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/11336/62691
Martinez, Pablo Enrique; Eliceche, Ana Maria; Operation of the argentinean interconnected electricity network; Elsevier Science; Computer Aided Chemical Engineering; 27; C; 8-2009; 2001-2006
1570-7946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62691
identifier_str_mv Martinez, Pablo Enrique; Eliceche, Ana Maria; Operation of the argentinean interconnected electricity network; Elsevier Science; Computer Aided Chemical Engineering; 27; C; 8-2009; 2001-2006
1570-7946
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1570794609707242
info:eu-repo/semantics/altIdentifier/doi/10.1016/S1570-7946(09)70724-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.993085

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