Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Variation in residential occupancy profiles in the United States by household income level and characteristics
An accurate representation of occupancy schedules is needed to assess potential energy savings from occupancy-based controls in residential buildings. In this study the variation in US residential occupancy profiles is developed by household income level, age group, household size, and day of the week using 14 years of American Time Use Survey and Current Population Survey data. Based on cluster analysis results, the most common occupancy profiles were Day absence and Stay home where, the time of absence varies from less than 5 to 15 h per day. Low-income individuals and households spent significantly more time at home compared to higher income groups. Finally, a preliminary survey conducted to analyse the impacts of the COVID-19 pandemic suggests that it has substantially impacted occupancy patterns and is likely to do so post-pandemic as well. The results of this research help improve the representation of occupancy schedules in building energy simulation methods.
Variation in residential occupancy profiles in the United States by household income level and characteristics
An accurate representation of occupancy schedules is needed to assess potential energy savings from occupancy-based controls in residential buildings. In this study the variation in US residential occupancy profiles is developed by household income level, age group, household size, and day of the week using 14 years of American Time Use Survey and Current Population Survey data. Based on cluster analysis results, the most common occupancy profiles were Day absence and Stay home where, the time of absence varies from less than 5 to 15 h per day. Low-income individuals and households spent significantly more time at home compared to higher income groups. Finally, a preliminary survey conducted to analyse the impacts of the COVID-19 pandemic suggests that it has substantially impacted occupancy patterns and is likely to do so post-pandemic as well. The results of this research help improve the representation of occupancy schedules in building energy simulation methods.
Variation in residential occupancy profiles in the United States by household income level and characteristics
Mitra, Debrudra (Autor:in) / Chu, Yiyi (Autor:in) / Cetin, Kristen (Autor:in) / Wang, Yu (Autor:in) / Chen, Chien-fei (Autor:in)
Journal of Building Performance Simulation ; 14 ; 692-711
02.11.2021
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
An investigation on energy-related occupancy behavior for low-income residential buildings
| Taylor & Francis Verlag | 2015
3.4.2. Household occupancy rates
Online Contents | 1999