Journal article
Profiling Occupant Behaviour in Danish Dwellings using Time Use Survey Data
Technical University of Denmark1
Department of Civil Engineering, Technical University of Denmark2
Energy and Services, Department of Civil Engineering, Technical University of Denmark3
Indoor Environment, Department of Civil Engineering, Technical University of Denmark4
Pennsylvania State University5
Polytechnic University of Turin6
Materials and Durability, Department of Civil Engineering, Technical University of Denmark7
CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark8
The human interaction with the building is a key cause of uncertainty when predicting energy consumption of buildings. Building occupants affect building energy use directly and indirectly by interacting with building energy systems, for example, by adjusting thermostats, switching lights on/off, using electrical devices and opening/closing windows.
The occupants’ daily activity profiles and occupancy patterns clearly shape the timing and magnitude of energy demand in households. Modelling energy-related human activities throughout the day, therefore, is a crucial task for prediction of energy use and, consequently, to reduce the gap between real and predicted building energy use.
This study modelled data gathered in the diary-based Danish Time Use Survey (TUS) 2008/09 of 9,640 individuals from 4,679 households. Individuals’ daily activities were logged in 10-minute time increments for 24 h, starting and ending at 04:00, during both weekdays and weekends. The aims of this study were to (i) profile energy-related daily activities of occupants during different seasons and weekdays/weekends (ii) investigate time-related characteristics of activities such as starting and ending times and durations, and (iii) profile occupancy patterns for weekdays/weekends for different household types.
The outcomes provide valuable input for building energy simulation for bridging the gap between simulated and real energy consumption in the Danish residential sector; typical occupancy profiles for different household types for different days of the week are freely available online
Language: | English |
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Year: | 2018 |
Pages: | 329-340 |
ISSN: | 18726178 and 03787788 |
Types: | Journal article |
DOI: | 10.1016/j.enbuild.2018.07.044 |
ORCIDs: | Li, R. , Andersen, Rune Korsholm and Rode, Carsten |
Occupancy Occupant behaviour Residential buildings SDG 7 - Affordable and Clean Energy Time Use Survey