Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/14850 |
Resumo: | The application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies. A town is chosen from each group, and an hourly specific study is conducted for the last 20 years, as well as a daily study of the old time series by using an artificial neural network based on the existing climate data. The possibility of application of the EN 16798-1:2019 standard during the days of the year is analysed, as well as the possibilities of using natural ventilation and the possibility of using adaptive setpoint temperatures in comparison with both 3 fixed heating temperatures and 3 fixed cooling temperatures by considering the energy saving. The results to apply the standard ranged 69.0 and 100% of the days of each year. The possibilities of natural ventilation considered were greater than 10% of the hours of the year in all the assumptions. The energy saving of cooling degrees reveals a greater potential in the area studied than that of heating degrees; this tendency is supported by the study of old temporary series which are part of the climate variation predicted throughout the 21st century. |
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Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern SpainAdaptive comfortAdaptive setpoint temperatureNatural ventilationAndalusiaEnergy savingThe application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies. A town is chosen from each group, and an hourly specific study is conducted for the last 20 years, as well as a daily study of the old time series by using an artificial neural network based on the existing climate data. The possibility of application of the EN 16798-1:2019 standard during the days of the year is analysed, as well as the possibilities of using natural ventilation and the possibility of using adaptive setpoint temperatures in comparison with both 3 fixed heating temperatures and 3 fixed cooling temperatures by considering the energy saving. The results to apply the standard ranged 69.0 and 100% of the days of each year. The possibilities of natural ventilation considered were greater than 10% of the hours of the year in all the assumptions. The energy saving of cooling degrees reveals a greater potential in the area studied than that of heating degrees; this tendency is supported by the study of old temporary series which are part of the climate variation predicted throughout the 21st century.European Union (EU): US 125546ElsevierSapientiaBienvenido-Huertas, DavidRubio-Bellido, CarlosFarinha, FátimaOliveira, Miguel JoséPérez-Ordóñez, Juan Luis2020-11-27T17:09:56Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/14850eng0360-132310.1016/j.buildenv.2020.107313info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:27:11Zoai:sapientia.ualg.pt:10400.1/14850Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:05:48.504731Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
title |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
spellingShingle |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain Bienvenido-Huertas, David Adaptive comfort Adaptive setpoint temperature Natural ventilation Andalusia Energy saving |
title_short |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
title_full |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
title_fullStr |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
title_full_unstemmed |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
title_sort |
Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain |
author |
Bienvenido-Huertas, David |
author_facet |
Bienvenido-Huertas, David Rubio-Bellido, Carlos Farinha, Fátima Oliveira, Miguel José Pérez-Ordóñez, Juan Luis |
author_role |
author |
author2 |
Rubio-Bellido, Carlos Farinha, Fátima Oliveira, Miguel José Pérez-Ordóñez, Juan Luis |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Bienvenido-Huertas, David Rubio-Bellido, Carlos Farinha, Fátima Oliveira, Miguel José Pérez-Ordóñez, Juan Luis |
dc.subject.por.fl_str_mv |
Adaptive comfort Adaptive setpoint temperature Natural ventilation Andalusia Energy saving |
topic |
Adaptive comfort Adaptive setpoint temperature Natural ventilation Andalusia Energy saving |
description |
The application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies. A town is chosen from each group, and an hourly specific study is conducted for the last 20 years, as well as a daily study of the old time series by using an artificial neural network based on the existing climate data. The possibility of application of the EN 16798-1:2019 standard during the days of the year is analysed, as well as the possibilities of using natural ventilation and the possibility of using adaptive setpoint temperatures in comparison with both 3 fixed heating temperatures and 3 fixed cooling temperatures by considering the energy saving. The results to apply the standard ranged 69.0 and 100% of the days of each year. The possibilities of natural ventilation considered were greater than 10% of the hours of the year in all the assumptions. The energy saving of cooling degrees reveals a greater potential in the area studied than that of heating degrees; this tendency is supported by the study of old temporary series which are part of the climate variation predicted throughout the 21st century. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-27T17:09:56Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/14850 |
url |
http://hdl.handle.net/10400.1/14850 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0360-1323 10.1016/j.buildenv.2020.107313 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133297998036992 |