Treatment and analysis of smart energy meter data from a cluster of buildings connected to district heating: A Danish case

Hicham Johra*, Daniel Henrique Leiria E. Pereira, Per Heiselberg, Anna Marszal-Pomianowska, Torben Tvedebrink

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Abstrakt

District heating has been found to be a key component of future and reliable smart energy grids comprising 100% of renewable energy sources for countries with dominant heating season. However, these systems face challenges that require a deeper understanding of the coupling between the distribution networks and the connected buildings, to enable demand-side management and balance the intermittence of renewables. In recent years, many smart energy meters have been installed on the heating systems of Danish dwellings connected to district heating, and the first yearly measurement data sets of large building clusters are now available. This article presents the methodology for the pre-processing and cluster analysis (K-means clustering) of a one-year-long smart energy meter measurement data from 1665 Danish dwellings connected to district heating. The aim is to identify typical household daily profiles of heat energy use, return temperature, and temperature difference between the supply and the return fluid. The study is performed with the free software environment “R”, which enables the rapid extraction of information to be shared with professionals of the building and energy sectors. After presenting the preliminary results of the clustering analysis, the article closes with the future work to be conducted on this study case.
OriginalsprogEngelsk
TitelProceedings of the 12th Nordic Symposium on Building Physics : NSB 2020
Vol/bind172
Publikationsdato2020
DOI
StatusUdgivet - 2020
Begivenhed12th Nordic Symposium on Building Physics - Tallinn, Estland
Varighed: 6 sep. 20209 sep. 2020
Konferencens nummer: 5010068
https://nsb2020.org/

Konference

Konference12th Nordic Symposium on Building Physics
Nummer5010068
LandEstland
ByTallinn
Periode06/09/202009/09/2020
Internetadresse

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