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; Garcia, Davide Astiaso; Mancini, Francesco. - ELETTRONICO. - (2021), pp. 43-48. ((Intervento presentato al convegno IEEE 4th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE) tenutosi a Budapest, Hungary nel November 17-18 2021 [10.1109/CANDO-EPE54223.2021.9667932].

Spatial energy modelling for the Metropolitan City of Rome

Mutani, Guglielmina;
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.
978-1-6654-2023-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2948954