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A Global Building Occupant Behavior Database

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; ... mehr

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000149307
Originalveröffentlichung
DOI: 10.1038/s41597-022-01475-3
Scopus
Zitationen: 31
Web of Science
Zitationen: 24
Dimensions
Zitationen: 32
Cover der Publikation
Zugehörige Institution(en) am KIT Institut Entwerfen und Bautechnik (IEB)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2022
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000149307
Erschienen in Scientific Data
Verlag Nature Research
Band 9
Heft 1
Seiten Art.Nr. 369
Vorab online veröffentlicht am 28.06.2022
Nachgewiesen in Scopus
Dimensions
Web of Science
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