Normalization of measured energy consumption to inform both design and operational decisions

Abstract

The building sector is one of the most resource-intensive and carbon-intensive sectors in the European Union and globally. Reliable building performance data are essential for providing the evidence needed in the design of energy efficiency interventions and planning of decarbonisation strategies for the existing stock. Indeed, the development of effective solutions aimed at lowering energy consumption, emissions and costs in existing buildings is an open challenge where actual performance characterisation is crucial. The normalisation of measured energy consumption with respect to weather and usage patterns may be performed in a straightforward and scalable manner leveraging state-of-the-art approaches that can, in turn, be linked to more detailed simulation techniques and used to inform both design and operational decisions. In this study, 10 public buildings in the Italian city of Melzo were analysed and modelled to address the above-mentioned challenges while streamlining and partially automating the process of building stock digitalisation.

More information

Identifiers

ORCID for Massimiliano Manfren: orcid.org/0000-0003-1438-970X

Catalogue record

Export record

Altmetrics