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An investigation on energy-related occupancy behavior for low-income residential buildings
Previous studies show that individuals’ energy consumption tends to outweigh the technical efficiency gains. Occupancy behavior accounts for about 30% of the variance in overall heating consumption and 50% in cooling consumption. In addition, overall energy savings of 10%–20% due to simple behavioral adjustments are a reasonable expectation. Unfortunately, few studies have focused on the specific cases of behavior in low-income houses, where unique individual energy behavior, demographic, and socio-economic factors come into play. This article investigates energy-related occupancy behavior in low-income families through real-time power, indoor environment, and occupancy presence measurement. Four residential houses with different building envelope materials are used as test-beds. Occupancy behavior includes thermostat schedules, occupancy presence, and major appliance usages. A simulation study is further conducted to show the energy impact of occupancy behavior.
An investigation on energy-related occupancy behavior for low-income residential buildings
Previous studies show that individuals’ energy consumption tends to outweigh the technical efficiency gains. Occupancy behavior accounts for about 30% of the variance in overall heating consumption and 50% in cooling consumption. In addition, overall energy savings of 10%–20% due to simple behavioral adjustments are a reasonable expectation. Unfortunately, few studies have focused on the specific cases of behavior in low-income houses, where unique individual energy behavior, demographic, and socio-economic factors come into play. This article investigates energy-related occupancy behavior in low-income families through real-time power, indoor environment, and occupancy presence measurement. Four residential houses with different building envelope materials are used as test-beds. Occupancy behavior includes thermostat schedules, occupancy presence, and major appliance usages. A simulation study is further conducted to show the energy impact of occupancy behavior.
An investigation on energy-related occupancy behavior for low-income residential buildings
Dong, Bing (author) / Li, Zhaoxuan (author) / Mcfadden, Gaelen (author)
Science and Technology for the Built Environment ; 21 ; 892-901
2015-08-18
10 pages
Article (Journal)
Electronic Resource
English
Occupancy Data Sensing, Collection, and Modeling for Residential Buildings
| Springer Verlag | 2022