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Data-Driven Approaches for Reliable Energy Labelling of Buildings

Christoffer Rasmussen and Henrik Madsen

(Submission #326)


Abstract

Within the European Union (EU) 25 % of the end-use energy consumption is related to the operation of the residential building stock. Of this, the main use of energy (65 %) is related to space heating. Substantial energy savings can therefore be achieved in the European residential sector by targeting their thermal performance.

The Centre for IT-Intelligent Energy System in Cities (CITIES) focus on the interplay of energy suppliers and demanding parties such as buildings. Understanding these interaction is critical to control the increasing share of renewable and fluctuating energy sources, as well as maximising the flexibility of such highly supply and demand varying systems. The partnership and project, Renovating Buildings Sustainably (REBUS), aims to reduce the energy consumption of existing households by 50 %, reduce the resource usage by 30 %, and increase the productivity by 20 % by industrialising the renovation process.

The statistical methods developed and tested in the CITIES and REBUS projects can be used to efficiently identify the energy culprits on different scales. The large scale methods from the CITIES project has shown promising results on thermal performance identification for city districts and building blocks. On the dwelling-scale the REBUS methods has been validate one several apartments, and shows its capability of identifying detailed thermal performance parameters and occupants effect on the energy consumed.

The presented method offers a wide variety of application. From mapping of district-scale thermal performance of buildings for political decision making, to energy labelling and identification of the exact part of the building envelope that provides the easiest and most cost effective achievable energy saving. In addition, the same methods can be used for data-driven quality assessment of a renovation jobs, as well as identifying the share of energy consumed as a consequence of the building physics and the occupants' behaviour.

Categories

Topic Area:  [1.9] Energy (renewable – non-renewable)
Abstract Type:  Oral Presentation

Additional Fields

 
Academic:   Yes
 
Data Provider:   Yes
 
Data User:   Yes
 
INSPIRE Implementer (IT):   Yes
 
INSPIRE newbies:   Yes
 
Policy Officers:   Yes
 
Public Administration (MS/Regional/Local):   Yes
 
Thematic specialists:   Yes
 
Comments:   To be presented in the Energy & Location thematic session.

Keywords: Energy labelling; Thermal performance of buildings


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