This work presents a place-based methodology which, through a statistical analysis, defines bottom-up models for the evaluation of the spatial distribution of energy consumption of residential buildings at urban scale. The objective of this work was to identify the main variables on which energy consumption depends, characterize the residential building stock according to these variables with a place-based assessment. To identify the characteristics of residential buildings that most influence energy consumption, the results of a questionnaire on more than 700 dwellings in Rome were used. Through significant linear regressions, energy performance of buildings for space heating, space cooling, domestic hot water production and electricity were estimated using municipal technical maps and data from the national census on population and buildings. Finally, the results of this work were validated by the consumption reported by the Sustainable Energy and Climate Action Plan for the Metropolitan City of Rome with a relative error of 3% for space heating.

Spatial energy modelling for the Metropolitan City of Rome / Mutani, Guglielmina; Fabiano, Emanuela; Astiaso Garcia, D.; Mancini, F.. - (2021), pp. 43-48. (Intervento presentato al convegno 4th IEEE International Conference and Workshop in Obuda on Electrical and Power Engineering, CANDO-EPE 2021 tenutosi a Budapest, Hungary) [10.1109/CANDO-EPE54223.2021.9667932].

Spatial energy modelling for the Metropolitan City of Rome

Astiaso Garcia D.;Mancini F.
2021

Abstract

This work presents a place-based methodology which, through a statistical analysis, defines bottom-up models for the evaluation of the spatial distribution of energy consumption of residential buildings at urban scale. The objective of this work was to identify the main variables on which energy consumption depends, characterize the residential building stock according to these variables with a place-based assessment. To identify the characteristics of residential buildings that most influence energy consumption, the results of a questionnaire on more than 700 dwellings in Rome were used. Through significant linear regressions, energy performance of buildings for space heating, space cooling, domestic hot water production and electricity were estimated using municipal technical maps and data from the national census on population and buildings. Finally, the results of this work were validated by the consumption reported by the Sustainable Energy and Climate Action Plan for the Metropolitan City of Rome with a relative error of 3% for space heating.
2021
4th IEEE International Conference and Workshop in Obuda on Electrical and Power Engineering, CANDO-EPE 2021
energy models; linear regression; place-based assessment; residential buildings; statistical bottom-up models
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Spatial energy modelling for the Metropolitan City of Rome / Mutani, Guglielmina; Fabiano, Emanuela; Astiaso Garcia, D.; Mancini, F.. - (2021), pp. 43-48. (Intervento presentato al convegno 4th IEEE International Conference and Workshop in Obuda on Electrical and Power Engineering, CANDO-EPE 2021 tenutosi a Budapest, Hungary) [10.1109/CANDO-EPE54223.2021.9667932].
File allegati a questo prodotto
File Dimensione Formato  
Mutani_Spatial energy_2021.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.31 MB
Formato Adobe PDF
2.31 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1613733
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact