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dc.contributor.author
Rodríguez, Cristhian C.
dc.contributor.author
Romero Quete, Andrés Arturo
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Suvire, Gaston Orlando
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Rivera, Sergio R.
dc.date.available
2024-02-20T13:40:29Z
dc.date.issued
2023-11
dc.identifier.citation
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
dc.identifier.uri
http://hdl.handle.net/11336/227580
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
EDP Sciences
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
ENERGY EFFICIENCY
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MIXED-INTEGER LINEAR PROGRAMMING
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RESOURCE ALLOCATION
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UPGRADE
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Ingeniería Eléctrica y Electrónica
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Optimization of multi-period investment planning in street lighting systems by mixed-integer linear programming
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-02-19T10:23:06Z
dc.identifier.eissn
1779-6288
dc.journal.volume
14
dc.journal.pagination
1-8
dc.journal.pais
Francia
dc.journal.ciudad
Paris
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
Fil: Rivera, Sergio R.. Universidad Nacional de Colombia; Colombia
dc.journal.title
International Journal for Simulation and Multidisciplinary Design Optimization
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ijsmdo.org/10.1051/smdo/2023017
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1051/smdo/2023017
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