Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost

Autores
Martinez, Pablo Enrique; Pasquevich, Daniel Miguel; Eliceche, Ana Maria
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A methodology to select the generation plants connected to the Argentinean electricity network and their operating loads is presented, minimizing life cycle greenhouse gases (GHG) emissions and operating cost. Mixed integer linear programming problems are formulated and solved in GAMS. The electricity generation grid has different fossil fuel thermoelectric, hydroelectric, nuclear, solar photovoltaic and wind power plants. Binary operating variables represent discrete decisions to select the power plants connected to the grid and the type of fossil fuel burnt in thermoelectric plants. Continuous operating variables allow the selection of the optimal load for each generation unit. Significant reductions in life cycle GHG emissions and operating cost are achieved in the operation of the Argentinean electricity network, providing relevant information to support a decision-making process.
Fil: Martinez, Pablo Enrique. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pasquevich, Daniel Miguel. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Quimica; Argentina
Materia
Electricity Network
Minimization
Life Cycle
Greenhouse Gases Emissions
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/11085

id CONICETDig_06fe11651b7ab13aeb01a986446a2c10
oai_identifier_str oai:ri.conicet.gov.ar:11336/11085
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and CostMartinez, Pablo EnriquePasquevich, Daniel MiguelEliceche, Ana MariaElectricity NetworkMinimizationLife CycleGreenhouse Gases Emissionshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A methodology to select the generation plants connected to the Argentinean electricity network and their operating loads is presented, minimizing life cycle greenhouse gases (GHG) emissions and operating cost. Mixed integer linear programming problems are formulated and solved in GAMS. The electricity generation grid has different fossil fuel thermoelectric, hydroelectric, nuclear, solar photovoltaic and wind power plants. Binary operating variables represent discrete decisions to select the power plants connected to the grid and the type of fossil fuel burnt in thermoelectric plants. Continuous operating variables allow the selection of the optimal load for each generation unit. Significant reductions in life cycle GHG emissions and operating cost are achieved in the operation of the Argentinean electricity network, providing relevant information to support a decision-making process.Fil: Martinez, Pablo Enrique. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pasquevich, Daniel Miguel. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Quimica; ArgentinaElsevier Science2012-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11085Martinez, Pablo Enrique; Pasquevich, Daniel Miguel; Eliceche, Ana Maria; Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost; Elsevier Science; International Journal Of Hydrogen Energy; 37; 19; 6-2012; 14786-147950360-3199enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360319912003199info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.ijhydene.2012.01.174info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:31Zoai:ri.conicet.gov.ar:11336/11085instacron: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 09:43:32.222CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
title Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
spellingShingle Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
Martinez, Pablo Enrique
Electricity Network
Minimization
Life Cycle
Greenhouse Gases Emissions
title_short Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
title_full Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
title_fullStr Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
title_full_unstemmed Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
title_sort Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost
dc.creator.none.fl_str_mv Martinez, Pablo Enrique
Pasquevich, Daniel Miguel
Eliceche, Ana Maria
author Martinez, Pablo Enrique
author_facet Martinez, Pablo Enrique
Pasquevich, Daniel Miguel
Eliceche, Ana Maria
author_role author
author2 Pasquevich, Daniel Miguel
Eliceche, Ana Maria
author2_role author
author
dc.subject.none.fl_str_mv Electricity Network
Minimization
Life Cycle
Greenhouse Gases Emissions
topic Electricity Network
Minimization
Life Cycle
Greenhouse Gases Emissions
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 the generation plants connected to the Argentinean electricity network and their operating loads is presented, minimizing life cycle greenhouse gases (GHG) emissions and operating cost. Mixed integer linear programming problems are formulated and solved in GAMS. The electricity generation grid has different fossil fuel thermoelectric, hydroelectric, nuclear, solar photovoltaic and wind power plants. Binary operating variables represent discrete decisions to select the power plants connected to the grid and the type of fossil fuel burnt in thermoelectric plants. Continuous operating variables allow the selection of the optimal load for each generation unit. Significant reductions in life cycle GHG emissions and operating cost are achieved in the operation of the Argentinean electricity network, providing relevant information to support a decision-making process.
Fil: Martinez, Pablo Enrique. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pasquevich, Daniel Miguel. Comisión Nacional de Energía Atómica. Gerencia del Area de Seguridad Nuclear y Ambiente. Instituto de Energía y Desarrollo Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Quimica; Argentina
description A methodology to select the generation plants connected to the Argentinean electricity network and their operating loads is presented, minimizing life cycle greenhouse gases (GHG) emissions and operating cost. Mixed integer linear programming problems are formulated and solved in GAMS. The electricity generation grid has different fossil fuel thermoelectric, hydroelectric, nuclear, solar photovoltaic and wind power plants. Binary operating variables represent discrete decisions to select the power plants connected to the grid and the type of fossil fuel burnt in thermoelectric plants. Continuous operating variables allow the selection of the optimal load for each generation unit. Significant reductions in life cycle GHG emissions and operating cost are achieved in the operation of the Argentinean electricity network, providing relevant information to support a decision-making process.
publishDate 2012
dc.date.none.fl_str_mv 2012-06
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/11336/11085
Martinez, Pablo Enrique; Pasquevich, Daniel Miguel; Eliceche, Ana Maria; Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost; Elsevier Science; International Journal Of Hydrogen Energy; 37; 19; 6-2012; 14786-14795
0360-3199
url http://hdl.handle.net/11336/11085
identifier_str_mv Martinez, Pablo Enrique; Pasquevich, Daniel Miguel; Eliceche, Ana Maria; Operation of a National Electricity Network to minimize Life Cycle Greenhouse Gas Emissions and Cost; Elsevier Science; International Journal Of Hydrogen Energy; 37; 19; 6-2012; 14786-14795
0360-3199
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/S0360319912003199
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.ijhydene.2012.01.174
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
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
_version_ 1844613370051821568
score 13.070432