Operational building datasets from multipurpose buildings in Denmark and Switzerland: High-resolution energy use and
Simon Pommerencke Melgaard1, Thomas Juul1, Rasmus Lund Jensen1
1Department of the Built Environment, Aalborg University, Thomas Manns vej 23, 9220 Aalborg East, Denmark.
Abstract:
The dataset comprises Building Management System (BMS) data from an educational building located on the main campus of Aalborg University in Denmark, as well as from Empa's NEST (Next Evolution in Sustainable Building Technologies) demonstrator building in Switzerland. The buildings contain main and sub-meters for all equipment using electricity or thermal energy. The equipment using thermal energy includes air handling units (water-based heating coils), space heating (floor heating, radiators, and ceiling heating), and domestic hot water (heat exchangers). Besides the energy data, room data, such as temperature, CO2 concentration, occupant presence, radiator valve opening, and ventilation damper opening, are included for all rooms in the buildings. The data spans 6 to 28 months, depending on the building and the measurement points. The data was collected as raw data with a time resolution between 1 and 10 min. The dataset is expected to be useful for various applications, including model calibration, machine learning, and occupant analysis.
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