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

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 accordin...

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Detalles Bibliográficos
Autores: Bienvenido Huertas, David, Rubio Bellido, Carlos, Farinha, Fátima, Oliveira, Miguel José, Pérez Ordóñez, Juan Luis
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Consejo General de la Arquitectura Técnica de España (CGATE)
Repositorio:RIARTE
OAI Identifier:oai:www.riarte.es:20.500.12251/1905
Acceso en línea:http://hdl.handle.net/20.500.12251/1905
https://doi.org/10.1016/j.buildenv.2020.107313
Access Level:acceso abierto
Palabra clave:Confort térmico adaptativo
Temperatura de referencia
Andalucía
Ahorro energético
Ventilación (Construcción)
Emisiones de CO2
Gases de efecto invernadero
Calefacción, ventilación, aire acond. (HVAC)
Ventilación natural
2213.02 Física de la Transmisión del Calor
3305.14 Viviendas
2502.02 Climatología Aplicada
3305.90 Transmisión de Calor en la Edificación
3309.22 Refrigeración
Descripción
Sumario: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. © 2020 Elsevier Ltd