Particle swarm optimization for outdoor lighting design

Outdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help light designers to get, in an easy way, the best c...

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Detalles Bibliográficos
Autores: Castillo Martínez, Ana|||0000-0001-9445-5871, Almagro Clemente, José Ramón, Gutiérrez Escolar, Alberto, Corte Valiente, Antonio del|||0000-0001-7334-2317, Castillo Sequera, José Luis|||0000-0002-9131-1618, Gómez Pulido, José Manuel|||0000-0002-6897-8262, Gutiérrez Martínez, José María|||0000-0003-0134-1256
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/43734
Acceso en línea:http://hdl.handle.net/10017/43734
https://dx.doi.org/10.3390/en10010141
Access Level:acceso abierto
Palabra clave:Energy efficiency
Lighting design
Lighting optimization
Particle Swarm Optimization (PSO)
Informática
Computer science
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spelling Particle swarm optimization for outdoor lighting designCastillo Martínez, Ana|||0000-0001-9445-5871Almagro Clemente, José RamónGutiérrez Escolar, AlbertoCorte Valiente, Antonio del|||0000-0001-7334-2317Castillo Sequera, José Luis|||0000-0002-9131-1618Gómez Pulido, José Manuel|||0000-0002-6897-8262Gutiérrez Martínez, José María|||0000-0003-0134-1256Energy efficiencyLighting designLighting optimizationParticle Swarm Optimization (PSO)InformáticaComputer scienceOutdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help light designers to get, in an easy way, the best configuration parameters and to improve energy efficiency, while ensuring a minimum level of overall uniformity. To make this possible, we used a particle swarm optimization (PSO) algorithm. These algorithms are well established, and are simple and effective to solve optimization problems. To take into account the most influential parameters on lighting and energy efficiency, 500 simulations were performed using DIALux software (4.10.0.2, DIAL, Ludenscheid, Germany). Next, the relation between these parameters was studied using to data mining software. Subsequently, we conducted two experiments for setting parameters that enabled the best configuration algorithm in order to improve efficiency in the proposed process optimization.MDPI20172017-01-23journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/43734https://dx.doi.org/10.3390/en10010141reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/437342026-06-18T11:13:07Z
dc.title.none.fl_str_mv Particle swarm optimization for outdoor lighting design
title Particle swarm optimization for outdoor lighting design
spellingShingle Particle swarm optimization for outdoor lighting design
Castillo Martínez, Ana|||0000-0001-9445-5871
Energy efficiency
Lighting design
Lighting optimization
Particle Swarm Optimization (PSO)
Informática
Computer science
title_short Particle swarm optimization for outdoor lighting design
title_full Particle swarm optimization for outdoor lighting design
title_fullStr Particle swarm optimization for outdoor lighting design
title_full_unstemmed Particle swarm optimization for outdoor lighting design
title_sort Particle swarm optimization for outdoor lighting design
dc.creator.none.fl_str_mv Castillo Martínez, Ana|||0000-0001-9445-5871
Almagro Clemente, José Ramón
Gutiérrez Escolar, Alberto
Corte Valiente, Antonio del|||0000-0001-7334-2317
Castillo Sequera, José Luis|||0000-0002-9131-1618
Gómez Pulido, José Manuel|||0000-0002-6897-8262
Gutiérrez Martínez, José María|||0000-0003-0134-1256
author Castillo Martínez, Ana|||0000-0001-9445-5871
author_facet Castillo Martínez, Ana|||0000-0001-9445-5871
Almagro Clemente, José Ramón
Gutiérrez Escolar, Alberto
Corte Valiente, Antonio del|||0000-0001-7334-2317
Castillo Sequera, José Luis|||0000-0002-9131-1618
Gómez Pulido, José Manuel|||0000-0002-6897-8262
Gutiérrez Martínez, José María|||0000-0003-0134-1256
author_role author
author2 Almagro Clemente, José Ramón
Gutiérrez Escolar, Alberto
Corte Valiente, Antonio del|||0000-0001-7334-2317
Castillo Sequera, José Luis|||0000-0002-9131-1618
Gómez Pulido, José Manuel|||0000-0002-6897-8262
Gutiérrez Martínez, José María|||0000-0003-0134-1256
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Energy efficiency
Lighting design
Lighting optimization
Particle Swarm Optimization (PSO)
Informática
Computer science
topic Energy efficiency
Lighting design
Lighting optimization
Particle Swarm Optimization (PSO)
Informática
Computer science
description Outdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help light designers to get, in an easy way, the best configuration parameters and to improve energy efficiency, while ensuring a minimum level of overall uniformity. To make this possible, we used a particle swarm optimization (PSO) algorithm. These algorithms are well established, and are simple and effective to solve optimization problems. To take into account the most influential parameters on lighting and energy efficiency, 500 simulations were performed using DIALux software (4.10.0.2, DIAL, Ludenscheid, Germany). Next, the relation between these parameters was studied using to data mining software. Subsequently, we conducted two experiments for setting parameters that enabled the best configuration algorithm in order to improve efficiency in the proposed process optimization.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/43734
https://dx.doi.org/10.3390/en10010141
url http://hdl.handle.net/10017/43734
https://dx.doi.org/10.3390/en10010141
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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