Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices

The study of the thermal comfort of the occupants of a building represents an important challenge, due to its close relation with energy efficiency. Facing the application of set-point temperatures, the adaptive comfort model proposes the linking of the comfort temperature to the outdoor temperature...

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Authors: Barbadilla Martín, Elena, Guadix Martín, José, Salmerón Lissén, José Manuel, Sánchez Ramos, José, Álvarez Domínguez, Servando, salmerón liss
Format: article
Status:Versión aceptada para publicación
Publication Date:2018
Country:España
Institution:Universidad de Sevilla (US)
Repository:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/154390
Online Access:https://hdl.handle.net/11441/154390
https://doi.org/10.1016/j.enbuild.2018.02.033
Access Level:Open access
Keyword:Baseline
Energy savings
Mixed mode
Thermal comfort
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spelling Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode officesBarbadilla Martín, ElenaGuadix Martín, JoséSalmerón Lissén, José ManuelSánchez Ramos, JoséÁlvarez Domínguez, Servandosalmerón lissBaselineEnergy savingsMixed modeThermal comfortThe study of the thermal comfort of the occupants of a building represents an important challenge, due to its close relation with energy efficiency. Facing the application of set-point temperatures, the adaptive comfort model proposes the linking of the comfort temperature to the outdoor temperature which would potentially reduce the use of the HVAC system. Although there are studies that propose experimental adaptive models, few verify their effectiveness. In the current study an adaptive comfort algorithm for hybrid buildings is experimentally validated based on a 17-month field study in office buildings in Spain. The implementation of the algorithm in the HVAC control system, both during the cooling and the heating period, allowed for the evaluation of the energy consumption, obtaining savings of 27.5% and 11.4% respectively. The percentage of thermal sensation votes in comfort evolved from 94% (prior to implementing the comfort algorithm) to 87.5% (once implemented) for the summer season and from 79.5% to 81.6% for the winter season. The results demonstrate that the adaptive model is effective for the optimization of HVAC systems, and that it is possible to achieve energy savings without impairing the comfort of its occupants for the type of climate and buildings considered.Agencia Estatal de investigación P11-TEP-7247ElsevierOrganización Industrial y Gestión de Empresas IIIngeniería EnergéticaTEP127: Ingeniería de OrganizaciónTEP143: TermotecniaAndalusia Government - "Excellence Projects" P11-TEP-72472018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/154390https://doi.org/10.1016/j.enbuild.2018.02.033reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergy and Buildings, 167, 281-289.P11-TEP-7247https://www.sciencedirect.com/science/article/pii/S0378778817330293info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1543902026-06-17T12:51:07Z
dc.title.none.fl_str_mv Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
title Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
spellingShingle Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
Barbadilla Martín, Elena
Baseline
Energy savings
Mixed mode
Thermal comfort
title_short Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
title_full Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
title_fullStr Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
title_full_unstemmed Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
title_sort Assessment of thermal comfort and energy savings in a field study on adaptive comfort with application for mixed mode offices
dc.creator.none.fl_str_mv Barbadilla Martín, Elena
Guadix Martín, José
Salmerón Lissén, José Manuel
Sánchez Ramos, José
Álvarez Domínguez, Servando
salmerón liss
author Barbadilla Martín, Elena
author_facet Barbadilla Martín, Elena
Guadix Martín, José
Salmerón Lissén, José Manuel
Sánchez Ramos, José
Álvarez Domínguez, Servando
salmerón liss
author_role author
author2 Guadix Martín, José
Salmerón Lissén, José Manuel
Sánchez Ramos, José
Álvarez Domínguez, Servando
salmerón liss
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Organización Industrial y Gestión de Empresas II
Ingeniería Energética
TEP127: Ingeniería de Organización
TEP143: Termotecnia
Andalusia Government - "Excellence Projects" P11-TEP-7247
dc.subject.none.fl_str_mv Baseline
Energy savings
Mixed mode
Thermal comfort
topic Baseline
Energy savings
Mixed mode
Thermal comfort
description The study of the thermal comfort of the occupants of a building represents an important challenge, due to its close relation with energy efficiency. Facing the application of set-point temperatures, the adaptive comfort model proposes the linking of the comfort temperature to the outdoor temperature which would potentially reduce the use of the HVAC system. Although there are studies that propose experimental adaptive models, few verify their effectiveness. In the current study an adaptive comfort algorithm for hybrid buildings is experimentally validated based on a 17-month field study in office buildings in Spain. The implementation of the algorithm in the HVAC control system, both during the cooling and the heating period, allowed for the evaluation of the energy consumption, obtaining savings of 27.5% and 11.4% respectively. The percentage of thermal sensation votes in comfort evolved from 94% (prior to implementing the comfort algorithm) to 87.5% (once implemented) for the summer season and from 79.5% to 81.6% for the winter season. The results demonstrate that the adaptive model is effective for the optimization of HVAC systems, and that it is possible to achieve energy savings without impairing the comfort of its occupants for the type of climate and buildings considered.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/154390
https://doi.org/10.1016/j.enbuild.2018.02.033
url https://hdl.handle.net/11441/154390
https://doi.org/10.1016/j.enbuild.2018.02.033
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energy and Buildings, 167, 281-289.
P11-TEP-7247
https://www.sciencedirect.com/science/article/pii/S0378778817330293
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 Elsevier
publisher.none.fl_str_mv Elsevier
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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