A Global Building Occupant Behavior Database

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

doi:10.1038/s41597-022-01475-3

A Global Building Occupant Behavior Database

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

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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.

Originalsprog	Engelsk
Artikelnummer	369
Tidsskrift	Scientific Data
Vol/bind	9
Udgave nummer	1
Antal sider	15
ISSN	2052-4463
DOI	https://doi.org/10.1038/s41597-022-01475-3
Status	Udgivet - dec. 2022

Bibliografisk note

Funding Information:
We would like to acknowledge the sponsorships from ASHRAE (1883-RP), Building Technologies Office of the United States Department of Energy, U.S. National Science Foundation (Award No. 1949372) and in-kind support from Annex 79 promoted by the International Energy Agency, Energy in Buildings and Communities (IEA-EBC) to make this possible. We also give thanks to Gabe Fierro from the Department of Computer Science at Colorado School of mines, for his kindly supports in developing Brick models.

Publisher Copyright:
© 2022, The Author(s).

Dokumenter og links

10.1038/s41597-022-01475-3Licens: CC BY

Open Access VersionForlagets udgivne version, 1,86 MBLicens: CC BY

Citationsformater

Dong, B., Liu, Y., Mu, W., Jiang, Z., Pandey, P., Hong, T., Olesen, B., Lawrence, T., O’Neil, Z., Andrews, C., Azar, E., Bandurski, K., Bardhan, R., Bavaresco, M., Berger, C., Burry, J., Carlucci, S., Chvatal, K., De Simone, M., ... Zhou, X. (2022). A Global Building Occupant Behavior Database. Scientific Data, 9(1), Artikel 369. https://doi.org/10.1038/s41597-022-01475-3

@article{5f97986f1fb44b989df1a020effa991b,

title = "A Global Building Occupant Behavior Database",

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{\textquoteright} 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.",

author = "Bing Dong and Yapan Liu and Wei Mu and Zixin Jiang and Pratik Pandey and Tianzhen Hong and Bjarne Olesen and Thomas Lawrence and Zheng O{\textquoteright}Neil and Clinton Andrews and Elie Azar and Karol Bandurski and Ronita Bardhan and Mateus Bavaresco and Christiane Berger and Jane Burry and Salvatore Carlucci and Karin Chvatal and {De Simone}, Marilena and Silvia Erba and Nan Gao and Graham, {Lindsay T.} and Camila Grassi and Rishee Jain and Sanjay Kumar and Mikkel Kj{\ae}rgaard and Sepideh Korsavi and Jared Langevin and Zhengrong Li and Aleksandra Lipczynska and Ardeshir Mahdavi and Jeetika Malik and Max Marschall and Zoltan Nagy and Leticia Neves and William O{\textquoteright}Brien and Song Pan and Park, {June Young} and Ilaria Pigliautile and Cristina Piselli and Pisello, {Anna Laura} and Rafsanjani, {Hamed Nabizadeh} and Rupp, {Ricardo Forgiarini} and Flora Salim and Stefano Schiavon and Jens Schwee and Andrew Sonta and Marianne Touchie and Andreas Wagner and Sinead Walsh and Zhe Wang and Webber, {David M.} and Da Yan and Paolo Zangheri and Jingsi Zhang and Xiang Zhou and Xin Zhou",

note = "Funding Information: We would like to acknowledge the sponsorships from ASHRAE (1883-RP), Building Technologies Office of the United States Department of Energy, U.S. National Science Foundation (Award No. 1949372) and in-kind support from Annex 79 promoted by the International Energy Agency, Energy in Buildings and Communities (IEA-EBC) to make this possible. We also give thanks to Gabe Fierro from the Department of Computer Science at Colorado School of mines, for his kindly supports in developing Brick models. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = dec,

doi = "10.1038/s41597-022-01475-3",

language = "English",

volume = "9",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

}

Dong, B, Liu, Y, Mu, W, Jiang, Z, Pandey, P, Hong, T, Olesen, B, Lawrence, T, O’Neil, Z, Andrews, C, Azar, E, Bandurski, K, Bardhan, R, Bavaresco, M, Berger, C, Burry, J, Carlucci, S, Chvatal, K, De Simone, M, Erba, S, Gao, N, Graham, LT, Grassi, C, Jain, R, Kumar, S, Kjærgaard, M, Korsavi, S, Langevin, J, Li, Z, Lipczynska, A, Mahdavi, A, Malik, J, Marschall, M, Nagy, Z, Neves, L, O’Brien, W, Pan, S, Park, JY, Pigliautile, I, Piselli, C, Pisello, AL, Rafsanjani, HN, Rupp, RF, Salim, F, Schiavon, S, Schwee, J, Sonta, A, Touchie, M, Wagner, A, Walsh, S, Wang, Z, Webber, DM, Yan, D, Zangheri, P, Zhang, J, Zhou, X & Zhou, X 2022, 'A Global Building Occupant Behavior Database', Scientific Data, bind 9, nr. 1, 369. https://doi.org/10.1038/s41597-022-01475-3

TY - JOUR

T1 - A Global Building Occupant Behavior Database

AU - Dong, Bing

AU - Liu, Yapan

AU - Mu, Wei

AU - Jiang, Zixin

AU - Pandey, Pratik

AU - Hong, Tianzhen

AU - Olesen, Bjarne

AU - Lawrence, Thomas

AU - O’Neil, Zheng

AU - Andrews, Clinton

AU - Azar, Elie

AU - Bandurski, Karol

AU - Bardhan, Ronita

AU - Bavaresco, Mateus

AU - Berger, Christiane

AU - Burry, Jane

AU - Carlucci, Salvatore

AU - Chvatal, Karin

AU - De Simone, Marilena

AU - Erba, Silvia

AU - Gao, Nan

AU - Graham, Lindsay T.

AU - Grassi, Camila

AU - Jain, Rishee

AU - Kumar, Sanjay

AU - Kjærgaard, Mikkel

AU - Korsavi, Sepideh

AU - Langevin, Jared

AU - Li, Zhengrong

AU - Lipczynska, Aleksandra

AU - Mahdavi, Ardeshir

AU - Malik, Jeetika

AU - Marschall, Max

AU - Nagy, Zoltan

AU - Neves, Leticia

AU - O’Brien, William

AU - Pan, Song

AU - Park, June Young

AU - Pigliautile, Ilaria

AU - Piselli, Cristina

AU - Pisello, Anna Laura

AU - Rafsanjani, Hamed Nabizadeh

AU - Rupp, Ricardo Forgiarini

AU - Salim, Flora

AU - Schiavon, Stefano

AU - Schwee, Jens

AU - Sonta, Andrew

AU - Touchie, Marianne

AU - Wagner, Andreas

AU - Walsh, Sinead

AU - Wang, Zhe

AU - Webber, David M.

AU - Yan, Da

AU - Zangheri, Paolo

AU - Zhang, Jingsi

AU - Zhou, Xiang

AU - Zhou, Xin

N1 - Funding Information: We would like to acknowledge the sponsorships from ASHRAE (1883-RP), Building Technologies Office of the United States Department of Energy, U.S. National Science Foundation (Award No. 1949372) and in-kind support from Annex 79 promoted by the International Energy Agency, Energy in Buildings and Communities (IEA-EBC) to make this possible. We also give thanks to Gabe Fierro from the Department of Computer Science at Colorado School of mines, for his kindly supports in developing Brick models. Publisher Copyright: © 2022, The Author(s).

PY - 2022/12

Y1 - 2022/12

N2 - 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.

AB - 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.

U2 - 10.1038/s41597-022-01475-3

DO - 10.1038/s41597-022-01475-3

M3 - Journal article

C2 - 35764639

AN - SCOPUS:85132992925

SN - 2052-4463

VL - 9

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 369

ER -

A Global Building Occupant Behavior Database

Abstract

Bibliografisk note

Dokumenter og links

Fingeraftryk

Citationsformater