Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Creating household occupancy and energy behavioural profiles using national time use survey data
Highlights Time Use Survey data used profiles of occupancy and energy behaviours. Patterns were time-dependent and affected by household size. Behaviour patterns were aggregated to produce hourly energy demand profiles.
Abstract Occupants’ interactions with building components determine the timing and magnitude of energy demand. Therefore a more realistic representation of energy-related occupant behaviours in energy simulations will enhance the accuracy of predicted building energy demand. The aim of this paper was to assess occupancy and behavioural patterns in Australian households based on a detailed time use survey, which collected daily activities from 6,902 persons in 3,626 households. Profiles of occupancy state and energy-related activities were analysed for different seasons, day of the week, and household compositions. The activity sequences were further aggregated to reproduce the total time use for the activities and occupancy states. The results showed that occupancy and the timing of energy related activities were time dependent and were also affected by season, day of week, and household composition. The outcomes can be used as input to simulation tools where realistic occupant behaviour should be taken into account.
Creating household occupancy and energy behavioural profiles using national time use survey data
Highlights Time Use Survey data used profiles of occupancy and energy behaviours. Patterns were time-dependent and affected by household size. Behaviour patterns were aggregated to produce hourly energy demand profiles.
Abstract Occupants’ interactions with building components determine the timing and magnitude of energy demand. Therefore a more realistic representation of energy-related occupant behaviours in energy simulations will enhance the accuracy of predicted building energy demand. The aim of this paper was to assess occupancy and behavioural patterns in Australian households based on a detailed time use survey, which collected daily activities from 6,902 persons in 3,626 households. Profiles of occupancy state and energy-related activities were analysed for different seasons, day of the week, and household compositions. The activity sequences were further aggregated to reproduce the total time use for the activities and occupancy states. The results showed that occupancy and the timing of energy related activities were time dependent and were also affected by season, day of week, and household composition. The outcomes can be used as input to simulation tools where realistic occupant behaviour should be taken into account.
Creating household occupancy and energy behavioural profiles using national time use survey data
Jeong, Bongchan (Autor:in) / Kim, Jungsoo (Autor:in) / de Dear, Richard (Autor:in)
Energy and Buildings ; 252
06.09.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch