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

Divyanshu Sood; Ibrahim Alhindawi; Usman Ali; Donal Finn; James A McGrath; Miriam A Byrne; James O'Donnell

doi:10.1016/j.dib.2023.109453

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

Data Brief. 2023 Jul 26:49:109453. doi: 10.1016/j.dib.2023.109453. eCollection 2023 Aug.

Authors

Divyanshu Sood¹, Ibrahim Alhindawi², Usman Ali¹, Donal Finn¹, James A McGrath³, Miriam A Byrne², James O'Donnell¹

Affiliations

¹ School of Mechanical and Materials Engineering and UCD Energy Institute, University College Dublin, Ireland.
² School of Physics & Ryan Institute's Centre for Climate and Air Pollution Studies, University of Galway, Ireland.
³ Department of Experimental Physics, Maynooth University, Maynooth, County Kildare, Ireland.

Abstract

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.

Keywords: Building energy performance simulation; Occupancy schedules; Occupant behaviour; Time use survey data.