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Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate

2023; Elsevier BV; Volume: 48; Linguagem: Inglês

10.1016/j.dib.2023.109149

2352-3409

Igor Sartori, Harald Taxt Walnum, Kristian Skeie, Laurent Georges, Michael Dahl Knudsen, Peder Bacher, José A. Candanedo, Anna-Maria Sigounis, Anand Krishnan Prakash, Marco Pritoni, Jessica Granderson, Shiyu Yang, Man Pun Wan,

Refrigeration and Air Conditioning Technologies

The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO2 level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min.