Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming

Autores
Rodríguez, Cristhian C.; Romero Quete, Andrés Arturo; Suvire, Gaston Orlando; Rivera, Sergio R.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This article proposed the use of multi-period mixed-integer linear programming method for investment planning to support decision-making processes in upgrading and managing street lighting systems. The technique incorporates a multi-variate model that maximizes energy-saving by considering budget constraints, the state of the lighting system, and the available technology in the market to replace the existing streetlights. This topic is novel because the complexity of the problem relies on the existence of several potentially large investments. As explained in this paper, the proposed method optimally considers the investments and returns as a combination that maximizes energy savings. The method was tested using actual data from an undisclosed public lighting system in Colombia. The results obtained revealed that multi-period investment optimization based on mixed-integer linear programming is an ideal investment plan, particularly in streetlight systems. Therefore, it forms an invaluable tool for street lighting systems' administrators and decision-makers in optimizing and facilitating the critical decision-making process in their work environment.
Fil: Rodríguez, Cristhian C.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Suvire, Gaston Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Rivera, Sergio R.. Universidad Nacional de Colombia; Colombia
Materia
ENERGY EFFICIENCY
MIXED-INTEGER LINEAR PROGRAMMING
RESOURCE ALLOCATION
UPGRADE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/227580
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programmingRodríguez, Cristhian C.Romero Quete, Andrés ArturoSuvire, Gaston OrlandoRivera, Sergio R.ENERGY EFFICIENCYMIXED-INTEGER LINEAR PROGRAMMINGRESOURCE ALLOCATIONUPGRADEhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This article proposed the use of multi-period mixed-integer linear programming method for investment planning to support decision-making processes in upgrading and managing street lighting systems. The technique incorporates a multi-variate model that maximizes energy-saving by considering budget constraints, the state of the lighting system, and the available technology in the market to replace the existing streetlights. This topic is novel because the complexity of the problem relies on the existence of several potentially large investments. As explained in this paper, the proposed method optimally considers the investments and returns as a combination that maximizes energy savings. The method was tested using actual data from an undisclosed public lighting system in Colombia. The results obtained revealed that multi-period investment optimization based on mixed-integer linear programming is an ideal investment plan, particularly in streetlight systems. Therefore, it forms an invaluable tool for street lighting systems' administrators and decision-makers in optimizing and facilitating the critical decision-making process in their work environment.Fil: Rodríguez, Cristhian C.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Suvire, Gaston Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Rivera, Sergio R.. Universidad Nacional de Colombia; ColombiaEDP Sciences2023-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227580Rodríguez, Cristhian C.; Romero Quete, Andrés Arturo; Suvire, Gaston Orlando; Rivera, Sergio R.; Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming; EDP Sciences; International Journal for Simulation and Multidisciplinary Design Optimization; 14; 11-2023; 1-81779-6288CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.ijsmdo.org/10.1051/smdo/2023017info:eu-repo/semantics/altIdentifier/doi/10.1051/smdo/2023017info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:33:48Zoai:ri.conicet.gov.ar:11336/227580instacron: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:34982025-09-17 11:33:49.081CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
title Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
spellingShingle Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
Rodríguez, Cristhian C.
ENERGY EFFICIENCY
MIXED-INTEGER LINEAR PROGRAMMING
RESOURCE ALLOCATION
UPGRADE
title_short Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
title_full Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
title_fullStr Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
title_full_unstemmed Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
title_sort Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
dc.creator.none.fl_str_mv Rodríguez, Cristhian C.
Romero Quete, Andrés Arturo
Suvire, Gaston Orlando
Rivera, Sergio R.
author Rodríguez, Cristhian C.
author_facet Rodríguez, Cristhian C.
Romero Quete, Andrés Arturo
Suvire, Gaston Orlando
Rivera, Sergio R.
author_role author
author2 Romero Quete, Andrés Arturo
Suvire, Gaston Orlando
Rivera, Sergio R.
author2_role author
author
author
dc.subject.none.fl_str_mv ENERGY EFFICIENCY
MIXED-INTEGER LINEAR PROGRAMMING
RESOURCE ALLOCATION
UPGRADE
topic ENERGY EFFICIENCY
MIXED-INTEGER LINEAR PROGRAMMING
RESOURCE ALLOCATION
UPGRADE
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This article proposed the use of multi-period mixed-integer linear programming method for investment planning to support decision-making processes in upgrading and managing street lighting systems. The technique incorporates a multi-variate model that maximizes energy-saving by considering budget constraints, the state of the lighting system, and the available technology in the market to replace the existing streetlights. This topic is novel because the complexity of the problem relies on the existence of several potentially large investments. As explained in this paper, the proposed method optimally considers the investments and returns as a combination that maximizes energy savings. The method was tested using actual data from an undisclosed public lighting system in Colombia. The results obtained revealed that multi-period investment optimization based on mixed-integer linear programming is an ideal investment plan, particularly in streetlight systems. Therefore, it forms an invaluable tool for street lighting systems' administrators and decision-makers in optimizing and facilitating the critical decision-making process in their work environment.
Fil: Rodríguez, Cristhian C.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Suvire, Gaston Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Rivera, Sergio R.. Universidad Nacional de Colombia; Colombia
description This article proposed the use of multi-period mixed-integer linear programming method for investment planning to support decision-making processes in upgrading and managing street lighting systems. The technique incorporates a multi-variate model that maximizes energy-saving by considering budget constraints, the state of the lighting system, and the available technology in the market to replace the existing streetlights. This topic is novel because the complexity of the problem relies on the existence of several potentially large investments. As explained in this paper, the proposed method optimally considers the investments and returns as a combination that maximizes energy savings. The method was tested using actual data from an undisclosed public lighting system in Colombia. The results obtained revealed that multi-period investment optimization based on mixed-integer linear programming is an ideal investment plan, particularly in streetlight systems. Therefore, it forms an invaluable tool for street lighting systems' administrators and decision-makers in optimizing and facilitating the critical decision-making process in their work environment.
publishDate 2023
dc.date.none.fl_str_mv 2023-11
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/11336/227580
Rodríguez, Cristhian C.; Romero Quete, Andrés Arturo; Suvire, Gaston Orlando; Rivera, Sergio R.; Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming; EDP Sciences; International Journal for Simulation and Multidisciplinary Design Optimization; 14; 11-2023; 1-8
1779-6288
CONICET Digital
CONICET
url http://hdl.handle.net/11336/227580
identifier_str_mv Rodríguez, Cristhian C.; Romero Quete, Andrés Arturo; Suvire, Gaston Orlando; Rivera, Sergio R.; Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming; EDP Sciences; International Journal for Simulation and Multidisciplinary Design Optimization; 14; 11-2023; 1-8
1779-6288
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.ijsmdo.org/10.1051/smdo/2023017
info:eu-repo/semantics/altIdentifier/doi/10.1051/smdo/2023017
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
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_ 1843606699527634944
score 13.000565

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