Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain

Detalhes bibliográficos
Autor(a) principal: Bienvenido-Huertas, David
Data de Publicação: 2020
Outros Autores: Rubio-Bellido, Carlos, Farinha, Fátima, Oliveira, Miguel José, Pérez-Ordóñez, Juan Luis
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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spelling 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
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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
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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)
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