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A Global Building Occupant Behavior Database

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 occupa...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240009/
https://www.ncbi.nlm.nih.gov/pubmed/35764639
http://dx.doi.org/10.1038/s41597-022-01475-3
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author 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
author_facet 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
author_sort Dong, Bing
collection PubMed
description 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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spelling pubmed-92400092022-06-30 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 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-06-28 /pmc/articles/PMC9240009/ /pubmed/35764639 http://dx.doi.org/10.1038/s41597-022-01475-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
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
A Global Building Occupant Behavior Database
title A Global Building Occupant Behavior Database
title_full A Global Building Occupant Behavior Database
title_fullStr A Global Building Occupant Behavior Database
title_full_unstemmed A Global Building Occupant Behavior Database
title_short A Global Building Occupant Behavior Database
title_sort global building occupant behavior database
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240009/
https://www.ncbi.nlm.nih.gov/pubmed/35764639
http://dx.doi.org/10.1038/s41597-022-01475-3
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