Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations

The occupancy profile dataset presented in this study leverages publicly available UK Time Use Survey (TUS) 2014–15 data to evaluate the impact of occupancy on energy consumption at various spatial and temporal scales using multi-scale archetypes. Constructing this occupancy dataset includes convers...

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Autores principales: Sood, Divyanshu, Alhindawi, Ibrahim, Ali, Usman, Finn, Donal, McGrath, James A., Byrne, Miriam A., O'Donnell, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415692/
https://www.ncbi.nlm.nih.gov/pubmed/37577743
http://dx.doi.org/10.1016/j.dib.2023.109453
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author Sood, Divyanshu
Alhindawi, Ibrahim
Ali, Usman
Finn, Donal
McGrath, James A.
Byrne, Miriam A.
O'Donnell, James
author_facet Sood, Divyanshu
Alhindawi, Ibrahim
Ali, Usman
Finn, Donal
McGrath, James A.
Byrne, Miriam A.
O'Donnell, James
author_sort Sood, Divyanshu
collection PubMed
description The occupancy profile dataset presented in this study leverages publicly available UK Time Use Survey (TUS) 2014–15 data to evaluate the impact of occupancy on energy consumption at various spatial and temporal scales using multi-scale archetypes. Constructing this occupancy dataset includes conversion, categorisation, extraction and analysis processes. The resulting dataset (in .csv) format represents realistic day-wise zone-level occupancy availability schedules that account for the effect of the type of dwelling, the number of occupants, the month of the year and the day of the week. A total of 5,376 occupancy profiles were extracted, representing a large number of dwellings. These profiles demonstrate the realistic behaviour of occupants’ availability in dwellings. These profiles allow us to gain valuable insights into the energy usage patterns in dwellings based on the realistic behaviour of occupants, leading to more accurate and context-specific energy assessments.
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spelling pubmed-104156922023-08-12 Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations Sood, Divyanshu Alhindawi, Ibrahim Ali, Usman Finn, Donal McGrath, James A. Byrne, Miriam A. O'Donnell, James Data Brief Data Article The occupancy profile dataset presented in this study leverages publicly available UK Time Use Survey (TUS) 2014–15 data to evaluate the impact of occupancy on energy consumption at various spatial and temporal scales using multi-scale archetypes. Constructing this occupancy dataset includes conversion, categorisation, extraction and analysis processes. The resulting dataset (in .csv) format represents realistic day-wise zone-level occupancy availability schedules that account for the effect of the type of dwelling, the number of occupants, the month of the year and the day of the week. A total of 5,376 occupancy profiles were extracted, representing a large number of dwellings. These profiles demonstrate the realistic behaviour of occupants’ availability in dwellings. These profiles allow us to gain valuable insights into the energy usage patterns in dwellings based on the realistic behaviour of occupants, leading to more accurate and context-specific energy assessments. Elsevier 2023-07-26 /pmc/articles/PMC10415692/ /pubmed/37577743 http://dx.doi.org/10.1016/j.dib.2023.109453 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Sood, Divyanshu
Alhindawi, Ibrahim
Ali, Usman
Finn, Donal
McGrath, James A.
Byrne, Miriam A.
O'Donnell, James
Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title_full Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title_fullStr Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title_full_unstemmed Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title_short Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations
title_sort zone-wise occupancy schedules developed using time use survey data for building energy performance simulations
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415692/
https://www.ncbi.nlm.nih.gov/pubmed/37577743
http://dx.doi.org/10.1016/j.dib.2023.109453
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