flEECe, an energy use and occupant behavior dataset for net-zero energy affordable senior residential buildings

摘要: The behaviors of building occupants have continued to perplex scholars for years in our attempts develop models energy efficient housing. Building simulations, project delivery approaches, policies, and more fell short their optimistic goals due the complexity human behavior. As a part multiphase longitudinal affordable housing study, this dataset represents occupant behavior attributes 6 units over nine months Virginia, USA which are not performing net-zero standard they were designed for. This provides researchers ability analyze following variables: performance, behaviors, literacy, ecological perceptions. Energy data is provided at 1 Hz sampling rate four circuits: main, hot water heater, dryer, HVAC. specifications, occupancy, weather data, neighboring use add depth dataset. can be used update models, predictive maintenance, policy frameworks, construction risk economic more. Machine-accessible metadata file describing reported data: https://doi.org/10.6084/m9.figshare.9891995