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Influencing factors in energy use of housing blocks: a new methodology, based on clustering and energy simulations, for decision making in energy refurbishment projects

Autor
Cipriano, X.; Vellido, A.; Cipriano, J.; Martí, J.; Danov, S.
Tipus d'activitat
Article en revista
Revista
Energy efficiency
Data de publicació
2017-04-01
Volum
10
Número
2
Pàgina inicial
359
Pàgina final
382
DOI
https://doi.org/10.1007/s12053-016-9460-9 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/113514 Obrir en finestra nova
URL
https://link.springer.com/article/10.1007%2Fs12053-016-9460-9 Obrir en finestra nova
Resum
In recent years, big efforts have been dedicated to identify which are the factors with highest influence in the energy consumption of residential buildings. These factors include aspects such as weather dependence, user behaviour, socio-economic situation, type of the energy installations and typology of buildings. The high number of factors increases the complexity of analysis and leads to a lack of confidence in the results of the energy simulation analysis. This fact grows when we move one s...
Citació
Cipriano, X., Vellido, A., Cipriano, J., Martí, J., Danov, S. Influencing factors in energy use of housing blocks: a new methodology, based on clustering and energy simulations, for decision making in energy refurbishment projects. "Energy efficiency", 1 Abril 2017, vol. 10, núm. 2, p. 359-382.
Paraules clau
Building energy use, Clustering analysis, Energy building simulation, Urban energy refurbishment
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants

  • Cipriano Lindez, Xavier  (autor)
  • Vellido Alcacena, Alfredo  (autor)
  • Cipriano Lindez, Jordi  (autor)
  • Martí Herrero, Jaime  (autor)
  • Danov, Stoyan  (autor)

Arxius