An optimization approach for long term investments planning in energy

Autores
Montagna, Jorge Marcelo; Vecchietti, Aldo; Flores, Julio Rolando
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances.
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Materia
Renewable Energy System
Energy System of Argentina
Economic Evaluation
Optimization
Disjunctive Programming
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:11336/6902
Acceder
id CONICETDig_4de2e351ac0d930a847ba308166de580
oai_identifier_str oai:ri.conicet.gov.ar:11336/6902
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An optimization approach for long term investments planning in energyMontagna, Jorge MarceloVecchietti, AldoFlores, Julio RolandoRenewable Energy SystemEnergy System of ArgentinaEconomic EvaluationOptimizationDisjunctive Programminghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances.Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaElsevier2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6902Montagna, Jorge Marcelo; Vecchietti, Aldo; Flores, Julio Rolando; An optimization approach for long term investments planning in energy; Elsevier; Applied Energy; 122; 6-2014; 162-1780306-2619enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0306261914001214info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apenergy.2014.02.002info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:35:10Zoai:ri.conicet.gov.ar:11336/6902instacron: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:34982025-10-22 11:35:10.953CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An optimization approach for long term investments planning in energy
title An optimization approach for long term investments planning in energy
spellingShingle An optimization approach for long term investments planning in energy
Montagna, Jorge Marcelo
Renewable Energy System
Energy System of Argentina
Economic Evaluation
Optimization
Disjunctive Programming
title_short An optimization approach for long term investments planning in energy
title_full An optimization approach for long term investments planning in energy
title_fullStr An optimization approach for long term investments planning in energy
title_full_unstemmed An optimization approach for long term investments planning in energy
title_sort An optimization approach for long term investments planning in energy
dc.creator.none.fl_str_mv Montagna, Jorge Marcelo
Vecchietti, Aldo
Flores, Julio Rolando
author Montagna, Jorge Marcelo
author_facet Montagna, Jorge Marcelo
Vecchietti, Aldo
Flores, Julio Rolando
author_role author
author2 Vecchietti, Aldo
Flores, Julio Rolando
author2_role author
author
dc.subject.none.fl_str_mv Renewable Energy System
Energy System of Argentina
Economic Evaluation
Optimization
Disjunctive Programming
topic Renewable Energy System
Energy System of Argentina
Economic Evaluation
Optimization
Disjunctive Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances.
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
description This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances.
publishDate 2014
dc.date.none.fl_str_mv 2014-06
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/11336/6902
Montagna, Jorge Marcelo; Vecchietti, Aldo; Flores, Julio Rolando; An optimization approach for long term investments planning in energy; Elsevier; Applied Energy; 122; 6-2014; 162-178
0306-2619
url http://hdl.handle.net/11336/6902
identifier_str_mv Montagna, Jorge Marcelo; Vecchietti, Aldo; Flores, Julio Rolando; An optimization approach for long term investments planning in energy; Elsevier; Applied Energy; 122; 6-2014; 162-178
0306-2619
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/S0306261914001214
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apenergy.2014.02.002
info:eu-repo/semantics/altIdentifier/doi/
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 12.982451

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