Dynamic fuzzy logic elevator group control system for energy optimization

High-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy...

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Detalles Bibliográficos
Autores: Fernández Valverde, Joaquín Rodrigo, Cortés, Pablo, Guadix Martín, José, Muñuzuri, Jesús
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2013
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/41204
Acceso en línea:http://hdl.handle.net/11441/41204
https://doi.org/10.1142/S0219622013500223
Access Level:acceso abierto
Palabra clave:Elevator
Energy optimization
Fuzzy logic
Sustainable development
Vertical transportation
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spelling Dynamic fuzzy logic elevator group control system for energy optimizationFernández Valverde, Joaquín RodrigoCortés, PabloGuadix Martín, JoséMuñuzuri, JesúsElevatorEnergy optimizationFuzzy logicSustainable developmentVertical transportationHigh-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy is acquiring more and more industrial relevance every day as far as sustainable development is concerned. In this paper, the first entirely dynamic Fuzzy Logic Elevator Group Control System to dispatch landing calls so as to minimize energy consumption, especially during interfloor traffic, is proposed. The fuzzy logic design described here constitutes not only an innovative solution that outperforms usual dispatchers but also an easy, cheap, feasible and reliable solution, which is possible to be implemented in real industry controllers.World Scientific Publishing CompanyOrganización Industrial y Gestión de Empresas IIIngeniería Telemática2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/41204https://doi.org/10.1142/S0219622013500223reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésInternational Journal of Information Technology & Decision Making, 12 (3), 591-617.http://dx.doi.org/10.1142/S0219622013500223info:eu-repo/semantics/openAccessoai:idus.us.es:11441/412042026-06-17T12:51:07Z
dc.title.none.fl_str_mv Dynamic fuzzy logic elevator group control system for energy optimization
title Dynamic fuzzy logic elevator group control system for energy optimization
spellingShingle Dynamic fuzzy logic elevator group control system for energy optimization
Fernández Valverde, Joaquín Rodrigo
Elevator
Energy optimization
Fuzzy logic
Sustainable development
Vertical transportation
title_short Dynamic fuzzy logic elevator group control system for energy optimization
title_full Dynamic fuzzy logic elevator group control system for energy optimization
title_fullStr Dynamic fuzzy logic elevator group control system for energy optimization
title_full_unstemmed Dynamic fuzzy logic elevator group control system for energy optimization
title_sort Dynamic fuzzy logic elevator group control system for energy optimization
dc.creator.none.fl_str_mv Fernández Valverde, Joaquín Rodrigo
Cortés, Pablo
Guadix Martín, José
Muñuzuri, Jesús
author Fernández Valverde, Joaquín Rodrigo
author_facet Fernández Valverde, Joaquín Rodrigo
Cortés, Pablo
Guadix Martín, José
Muñuzuri, Jesús
author_role author
author2 Cortés, Pablo
Guadix Martín, José
Muñuzuri, Jesús
author2_role author
author
author
dc.contributor.none.fl_str_mv Organización Industrial y Gestión de Empresas II
Ingeniería Telemática
dc.subject.none.fl_str_mv Elevator
Energy optimization
Fuzzy logic
Sustainable development
Vertical transportation
topic Elevator
Energy optimization
Fuzzy logic
Sustainable development
Vertical transportation
description High-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy is acquiring more and more industrial relevance every day as far as sustainable development is concerned. In this paper, the first entirely dynamic Fuzzy Logic Elevator Group Control System to dispatch landing calls so as to minimize energy consumption, especially during interfloor traffic, is proposed. The fuzzy logic design described here constitutes not only an innovative solution that outperforms usual dispatchers but also an easy, cheap, feasible and reliable solution, which is possible to be implemented in real industry controllers.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/41204
https://doi.org/10.1142/S0219622013500223
url http://hdl.handle.net/11441/41204
https://doi.org/10.1142/S0219622013500223
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Information Technology & Decision Making, 12 (3), 591-617.
http://dx.doi.org/10.1142/S0219622013500223
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific Publishing Company
publisher.none.fl_str_mv World Scientific Publishing Company
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407733401255936
score 15.300719

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