A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Daily Occupant Behavior Pattern Affecting Energy Use in Residential Buildings
Unlike occupants in commercial buildings, occupants in residential buildings have a higher degree of energy control and their energy use-related behaviors place a significant impact on energy consumption. However, there is a lack of studies about residential occupant behavior regarding their habitual routines. This study aims to strategically identify occupants’ daily routines of habitual behaviors and activities in residential buildings using the American Time Use Survey (ATUS) data. The patterns of occupant energy usage-related activities are identified with K-modes clustering, and the activities are compared by different perspectives including region, day of the week, gender, and job status. The findings inform that: (1) day of the week, gender, job status affect the similarities and differences in energy usage-related activities; and (2) watching TV is one of the most common activities in cluster analysis, and it happens between 18:30 and 21:30. The results can be used to provide more realistic information regarding energy and behavior to occupants in residential buildings, and the information can be applied to new energy and behavior strategies and policies for energy plans in residential buildings.
Daily Occupant Behavior Pattern Affecting Energy Use in Residential Buildings
Unlike occupants in commercial buildings, occupants in residential buildings have a higher degree of energy control and their energy use-related behaviors place a significant impact on energy consumption. However, there is a lack of studies about residential occupant behavior regarding their habitual routines. This study aims to strategically identify occupants’ daily routines of habitual behaviors and activities in residential buildings using the American Time Use Survey (ATUS) data. The patterns of occupant energy usage-related activities are identified with K-modes clustering, and the activities are compared by different perspectives including region, day of the week, gender, and job status. The findings inform that: (1) day of the week, gender, job status affect the similarities and differences in energy usage-related activities; and (2) watching TV is one of the most common activities in cluster analysis, and it happens between 18:30 and 21:30. The results can be used to provide more realistic information regarding energy and behavior to occupants in residential buildings, and the information can be applied to new energy and behavior strategies and policies for energy plans in residential buildings.
Daily Occupant Behavior Pattern Affecting Energy Use in Residential Buildings
Mo, Yunjeong (author) / Zhao, Dong (author) / Sorce, James (author)
Construction Research Congress 2020 ; 2020 ; Tempe, Arizona
Construction Research Congress 2020 ; 518-526
2020-11-09
Conference paper
Electronic Resource
English
Occupant-behavior driven appliance scheduling for residential buildings
| Springer Verlag | 2017
Occupant-behavior driven appliance scheduling for residential buildings
| Online Contents | 2017