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A Global Building Occupant Behavior Database
Journal
Scientific Data
Date Issued
2022-12-01
Author(s)
Dong, Bing
Liu, Yapan
Mu, Wei
Jiang, Zixin
Pandey, Pratik
Hong, Tianzhen
Olesen, Bjarne
Lawrence, Thomas
O’Neil, Zheng
Andrews, Clinton
Azar, Elie
Bandurski, Karol
Bardhan, Ronita
Bavaresco, Mateus
Berger, Christiane
Burry, Jane
Carlucci, Salvatore
Chvatal, Karin
De Simone, Marilena
Erba, Silvia
Gao, Nan
Graham, Lindsay T.
Grassi, Camila
Jain, Rishee
Kumar, Sanjay
Kjærgaard, Mikkel
Korsavi, Sepideh
Langevin, Jared
Li, Zhengrong
Lipczynska, Aleksandra
Mahdavi, Ardeshir
Malik, Jeetika
Marschall, Max
Nagy, Zoltan
Neves, Leticia
O’Brien, William
Pan, Song
Park, June Young
Pigliautile, Ilaria
Piselli, Cristina
Pisello, Anna Laura
Rafsanjani, Hamed Nabizadeh
Rupp, Ricardo Forgiarini
Salim, Flora
Schiavon, Stefano
Schwee, Jens
Sonta, Andrew
Touchie, Marianne
Wagner, Andreas
Walsh, Sinead
Wang, Zhe
Webber, David M.
Yan, Da
Zangheri, Paolo
Zhang, Jingsi
Zhou, Xiang
Zhou, Xin
Abstract
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.
Volume
9