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A Global Building Occupant Behavior Database.

Bing DongYapan LiuWei MuZixin JiangPratik PandeyTianzhen HongBjarne OlesenThomas LawrenceZheng O'NeilClinton AndrewsElie AzarKarol BandurskiRonita BardhanMateus BavarescoChristiane BergerJane BurrySalvatore CarlucciKarin ChvatalMarilena De SimoneSilvia ErbaNan GaoLindsay T GrahamCamila GrassiRishee JainSanjay KumarMikkel Baun KjærgaardSepideh Sadat KorsaviJared LangevinZhengrong LiAleksandra LipczynskaArdeshir MahdaviJeetika MalikMax MarschallZoltan NagyLeticia NevesWilliam O'BrienSong PanJune Young ParkIlaria PigliautileCristina PiselliAnna Laura PiselloHamed Nabizadeh RafsanjaniRicardo Forgiarini RuppFlora SalimStefano SchiavonJens Hjort SchweeAndrew SontaMarianne TouchieAndreas WagnerSinead WalshZhe WangDavid M WebberDa YanPaolo ZangheriJingsi ZhangXiang ZhouXin Zhou
Published in: Scientific data (2022)
This paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors. This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i.e., presence and people count) and occupant behaviors (i.e., interactions with devices, equipment, and technical systems in buildings). Brick schema models were developed to represent sensor and room metadata information. The database is publicly available, and a website was created for the public to access, query, and download specific datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e.g., light switching, set-point changes on thermostats, fans on/off, etc.) and envelopes (e.g., window opening/closing). With these more realistic inputs of occupants' schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting.
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