Methodologies to analyze datasets from smart heat meters

Using data from smart energy meters to gain knowledge about households connected to the district heating network: A Danish case

Even though district heating is seen as a vital element for a sustainable future, it requires extensive planning and long-term investments. To increase the understanding of the district heating network performance and the demand-side dynamics of the connected buildings, several countries, including Denmark, have installed smart heat meters in different cities.

In that context, this paper presents several methodologies to analyze the datasets from the smart heat meters installed in a small Danish town. The first method is concerning data curation to remove the anomalies and missing data points. The second method analyses measured variables (heat consumption, outdoor temperature, wind speed, and global radiation) to acquire new knowledge on the building characteristics. These results were compared with the values given by the energy performance certificates of a smaller sample of 41 households. Finally, to communicate and visualize the analysis outputs in a user-friendly way, an interactive web interface tool has been created.

Authors: D. Leiria, H. Johra, A. Marszal-Pomianowska, M. Zbigniew Pomianowski, P. Kvols Heiselberg. Aalborg University, Department of the Built Environment