Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management

Daylight performance metrics provide a promising approach for the design and optimization of lighting strategies in buildings and their management. Smart controls for electric lighting can reduce power consumption and promote visual comfort using different control strategies, based on affordable tec...

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Detalles Bibliográficos
Autores: Acosta García, Ignacio Javier, Campano, Miguel Ángel, Domínguez Amarillo, Samuel, Muñoz González, Carmen María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/88476
Acceso en línea:https://hdl.handle.net/11441/88476
https://doi.org/10.3390/en11113143
Access Level:acceso abierto
Palabra clave:Daylight autonomy
window design
energy saving
smart control
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spelling Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting ManagementAcosta García, Ignacio JavierCampano, Miguel ÁngelDomínguez Amarillo, SamuelMuñoz González, Carmen MaríaDaylight autonomywindow designenergy savingsmart controlDaylight performance metrics provide a promising approach for the design and optimization of lighting strategies in buildings and their management. Smart controls for electric lighting can reduce power consumption and promote visual comfort using different control strategies, based on affordable technologies and low building impact. The aim of this research is to assess the energy efficiency of these smart controls by means of dynamic daylight performance metrics, to determine suitable solutions based on the geometry of the architecture and the weather conditions. The analysis considers different room dimensions, with variable window size and two mean surface reflectance values. DaySim 3.1 lighting software provides the simulations for the study, determining the necessary quantification of dynamic metrics to evaluate the usefulness of the proposed smart controls and their impact on energy efficiency. The validation of dynamic metrics is carried out by monitoring a mesh of illuminance-meters in test cells throughout one year. The results showed that, for most rooms more than 3.00 m deep, smart controls achieve worthwhile energy savings and a low payback period, regardless of weather conditions and for worst-case situations. It is also concluded that dimming systems provide a higher net present value and allow the use of smaller window size than other control solutions.MDPIConstrucciones Arquitectónicas I2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/88476https://doi.org/10.3390/en11113143reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 11 (11), 3143-.info:eu-repo/semantics/openAccessoai:idus.us.es:11441/884762026-06-17T12:51:07Z
dc.title.none.fl_str_mv Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
title Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
spellingShingle Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
Acosta García, Ignacio Javier
Daylight autonomy
window design
energy saving
smart control
title_short Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
title_full Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
title_fullStr Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
title_full_unstemmed Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
title_sort Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management
dc.creator.none.fl_str_mv Acosta García, Ignacio Javier
Campano, Miguel Ángel
Domínguez Amarillo, Samuel
Muñoz González, Carmen María
author Acosta García, Ignacio Javier
author_facet Acosta García, Ignacio Javier
Campano, Miguel Ángel
Domínguez Amarillo, Samuel
Muñoz González, Carmen María
author_role author
author2 Campano, Miguel Ángel
Domínguez Amarillo, Samuel
Muñoz González, Carmen María
author2_role author
author
author
dc.contributor.none.fl_str_mv Construcciones Arquitectónicas I
dc.subject.none.fl_str_mv Daylight autonomy
window design
energy saving
smart control
topic Daylight autonomy
window design
energy saving
smart control
description Daylight performance metrics provide a promising approach for the design and optimization of lighting strategies in buildings and their management. Smart controls for electric lighting can reduce power consumption and promote visual comfort using different control strategies, based on affordable technologies and low building impact. The aim of this research is to assess the energy efficiency of these smart controls by means of dynamic daylight performance metrics, to determine suitable solutions based on the geometry of the architecture and the weather conditions. The analysis considers different room dimensions, with variable window size and two mean surface reflectance values. DaySim 3.1 lighting software provides the simulations for the study, determining the necessary quantification of dynamic metrics to evaluate the usefulness of the proposed smart controls and their impact on energy efficiency. The validation of dynamic metrics is carried out by monitoring a mesh of illuminance-meters in test cells throughout one year. The results showed that, for most rooms more than 3.00 m deep, smart controls achieve worthwhile energy savings and a low payback period, regardless of weather conditions and for worst-case situations. It is also concluded that dimming systems provide a higher net present value and allow the use of smaller window size than other control solutions.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/88476
https://doi.org/10.3390/en11113143
url https://hdl.handle.net/11441/88476
https://doi.org/10.3390/en11113143
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 11 (11), 3143-.
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 MDPI
publisher.none.fl_str_mv MDPI
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
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