The ASHRAE Global Occupant Behavior Database aims to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems. This database includes 34 field-measured occupant behavior datasets for both commercial and residential buildings, contributed by researchers from 15 countries and 39 institutions covering 10 different climate zones. It includes occupancy patterns, occupant behaviors, indoor and outdoor environment measurements.
This Database was developed by Wei Mu, Yapan Liu and Prof. Bing Dong (Syracuse University, Project Lead), Tianzhen Hong (LBNL), Bjarne W. Olesen (Technical University of Denmark), Tom Lawrence (University of Georgia) and Zheng O’Neill (Texas A&M University). The project received sponsorship from the ASHRAE MTG.OBB research grant URP-1883 and was further supported by the IEA EBC Annex 79.
All datasets:
License:
This ASHRAE Global Occupant Behavior Database is made available under
the Open Database License:
http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual
contents of the database are licensed under the Database Contents
License: http://opendatacommons.org/licenses/dbcl/1.0/.
Acknowledgments:
The authors wish to acknowledge the generous contributions made by all
dataset contributors. If you intend to use the research data contained
in this database, please ensure that you give appropriate acknowledgment
(e.g. citation) to the original researchers. We would also like to
acknowledge the sponsorship from ASHRAE, Building Technologies Office of
the U.S. Department of Energy, and kind support from IEA Annex 79 to
make this possible.
Publications:
1. Liu, Y., Dong, B., Hong, T., Olesen, B., Lawrence, T., & O’Neill, Z. (2023).
ASHRAE URP-1883: Development and Analysis of the ASHRAE Global Occupant Behavior Database. Science and Technology for the Built Environment, 1-33.
https://doi.org/10.1080/23744731.2023.2235971
2. Dong, B., Liu, Y., Mu, W. et al. A Global Building Occupant Behavior Database. Sci Data 9, 369 (2022).
https://doi.org/10.1038/s41597-022-01475-3
3. Luo, N., Fierro, G., Liu, Y., Dong, B., & Hong, T. (2022).
Extending the Brick schema to represent metadata of occupants. Automation in Construction, 139, 104307.
https://doi.org/10.1016/j.autcon.2022.104307