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. 2022 Jun 28;9(1):369.
doi: 10.1038/s41597-022-01475-3.

A Global Building Occupant Behavior Database

Affiliations

A Global Building Occupant Behavior Database

Bing Dong et al. Sci Data. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Summary of the ASHRAE Global Occupant Behavior Database by building types.
Fig. 2
Fig. 2
Overview of the technical approach.
Fig. 3
Fig. 3
Global Contributions to the ASHRAE Occupant Behavior Database.
Fig. 4
Fig. 4
Folder view of the database.
Fig. 5
Fig. 5
View of the Brick model of Dataset 20.
Fig. 6
Fig. 6
Historical occupant number data from Dataset 32.
Fig. 7
Fig. 7
Historical occupant number data from Dataset 32 in one week.
Fig. 8
Fig. 8
Data distribution of door openings from Dataset 5.
Fig. 9
Fig. 9
Cross-comparison of first arrival and last departure between occupant presence datasets from different countries.
Fig. 10
Fig. 10
Window operation coupled with indoor and outdoor temperature in Dataset 5.
Fig. 11
Fig. 11
Outdoor temperature distributions by hour in different datasets and climate zones. Dataset 16 – Aw; Dataset 5 – Cfa; Dataset 7- Cfb; Dataset 14 – Dwa.
Fig. 12
Fig. 12
Outdoor relative humidity distributions by hour in different datasets and climate zones. Dataset 16 – Aw; Dataset 5 – Cfa; Dataset 7- Cfb; Dataset 14 – Dwa.
Fig. 13
Fig. 13
Outdoor solar radiation distributions by hour in different datasets and climate zones. Dataset 5 – Cfa; Dataset 7- Cfb; Dataset 14 – Dwa.

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