Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain

Currently, the knowledge of energy consumption in buildings of new and existing dwellings is essential to control and propose energy conservation measures. Most of the predictions of energy consumption in buildings are based on fixed values related to the internal thermal ambient and pre-established...

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Autores: Sánchez García, Daniel, Bienvenido Huertas, David, Tristancho Carvajal, Mónica, Rubio Bellido, Carlos
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Consejo General de la Arquitectura Técnica de España (CGATE)
Repositorio:RIARTE
OAI Identifier:oai:www.riarte.es:20.500.12251/1553
Acceso en línea:http://hdl.handle.net/20.500.12251/1553
https://doi.org/10.3390/en12081498
Access Level:acceso abierto
Palabra clave:Confort térmico
Cambio climático
Edificación residencial
Ahorro energético
Consumo energético
Adaptive Comfort Control Implemented Model (ACCIM)
Análisis estadístico
3305.90 Transmisión de Calor en la Edificación
3305.14 Viviendas
3311.16 Instrumentos de Medida de la Temperatura
6310.09 Calidad de Vida
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in SpainSánchez García, DanielBienvenido Huertas, DavidTristancho Carvajal, MónicaRubio Bellido, CarlosConfort térmicoCambio climáticoEdificación residencialAhorro energéticoConsumo energéticoAdaptive Comfort Control Implemented Model (ACCIM)Análisis estadístico3305.90 Transmisión de Calor en la Edificación3305.14 Viviendas3311.16 Instrumentos de Medida de la Temperatura6310.09 Calidad de VidaCurrently, the knowledge of energy consumption in buildings of new and existing dwellings is essential to control and propose energy conservation measures. Most of the predictions of energy consumption in buildings are based on fixed values related to the internal thermal ambient and pre-established operation hypotheses, which do not reflect the dynamic use of buildings and users’ requirements. Spain is a clear example of such a situation. This study suggests the use of an adaptive thermal comfort model as a predictive method of energy consumption in the internal thermal ambient, as well as several operation hypotheses, and both conditions are combined in a simulation model: the Adaptive Comfort Control Implemented Model (ACCIM). The behavior of ACCIM is studied in a representative case of the residential building stock, which is located in three climate zones with different characteristics (warm, cold, and mild climates). The analyses were conducted both in current and future scenarios with the aim of knowing the advantages and limitations in each climate zone. The results show that the average consumption of the current, 2050, and 2080 scenarios decreased between 23% and 46% in warm climates, between 19% and 25% in mild climates, and between 10% and 29% in cold climates by using such a predictive method. It is also shown that this method is more resilient to climate change than the current standard. This research can be a starting point to understand users’ climate adaptation to predict energy consumption. © 2019 by the authorsMDPI AG2019info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12251/1553https://doi.org/10.3390/en12081498reponame:RIARTEinstname:Consejo General de la Arquitectura Técnica de España (CGATE)Ingléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:www.riarte.es:20.500.12251/15532026-06-02T12:44:41Z
dc.title.none.fl_str_mv Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
title Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
spellingShingle Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
Sánchez García, Daniel
Confort térmico
Cambio climático
Edificación residencial
Ahorro energético
Consumo energético
Adaptive Comfort Control Implemented Model (ACCIM)
Análisis estadístico
3305.90 Transmisión de Calor en la Edificación
3305.14 Viviendas
3311.16 Instrumentos de Medida de la Temperatura
6310.09 Calidad de Vida
title_short Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
title_full Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
title_fullStr Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
title_full_unstemmed Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
title_sort Adaptive comfort control implemented model (ACCIM) for energy consumption predictions in dwellings under current and future climate conditions: A case study located in Spain
dc.creator.none.fl_str_mv Sánchez García, Daniel
Bienvenido Huertas, David
Tristancho Carvajal, Mónica
Rubio Bellido, Carlos
author Sánchez García, Daniel
author_facet Sánchez García, Daniel
Bienvenido Huertas, David
Tristancho Carvajal, Mónica
Rubio Bellido, Carlos
author_role author
author2 Bienvenido Huertas, David
Tristancho Carvajal, Mónica
Rubio Bellido, Carlos
author2_role author
author
author
dc.subject.none.fl_str_mv Confort térmico
Cambio climático
Edificación residencial
Ahorro energético
Consumo energético
Adaptive Comfort Control Implemented Model (ACCIM)
Análisis estadístico
3305.90 Transmisión de Calor en la Edificación
3305.14 Viviendas
3311.16 Instrumentos de Medida de la Temperatura
6310.09 Calidad de Vida
topic Confort térmico
Cambio climático
Edificación residencial
Ahorro energético
Consumo energético
Adaptive Comfort Control Implemented Model (ACCIM)
Análisis estadístico
3305.90 Transmisión de Calor en la Edificación
3305.14 Viviendas
3311.16 Instrumentos de Medida de la Temperatura
6310.09 Calidad de Vida
description Currently, the knowledge of energy consumption in buildings of new and existing dwellings is essential to control and propose energy conservation measures. Most of the predictions of energy consumption in buildings are based on fixed values related to the internal thermal ambient and pre-established operation hypotheses, which do not reflect the dynamic use of buildings and users’ requirements. Spain is a clear example of such a situation. This study suggests the use of an adaptive thermal comfort model as a predictive method of energy consumption in the internal thermal ambient, as well as several operation hypotheses, and both conditions are combined in a simulation model: the Adaptive Comfort Control Implemented Model (ACCIM). The behavior of ACCIM is studied in a representative case of the residential building stock, which is located in three climate zones with different characteristics (warm, cold, and mild climates). The analyses were conducted both in current and future scenarios with the aim of knowing the advantages and limitations in each climate zone. The results show that the average consumption of the current, 2050, and 2080 scenarios decreased between 23% and 46% in warm climates, between 19% and 25% in mild climates, and between 10% and 29% in cold climates by using such a predictive method. It is also shown that this method is more resilient to climate change than the current standard. This research can be a starting point to understand users’ climate adaptation to predict energy consumption. © 2019 by the authors
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12251/1553
https://doi.org/10.3390/en12081498
url http://hdl.handle.net/20.500.12251/1553
https://doi.org/10.3390/en12081498
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RIARTE
instname:Consejo General de la Arquitectura Técnica de España (CGATE)
instname_str Consejo General de la Arquitectura Técnica de España (CGATE)
reponame_str RIARTE
collection RIARTE
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408180181663744
score 15,301603

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