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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/11085
Ver los metadatos del registro completo
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 |