An experimental lab study of interaction between building energy-efficient measures and occupants’ behaviors
Research project
Many studies merely focus on adoption energy efficient measures (EEMs), rather than to
bring a structured understanding of how these measures will influence occupant behavior
and how the changes in occupant behavior will, in turn, impact expected energy savings
caused by EEMs.
As a result, the modeling and analysis of interaction between EEMs
and occupants’ behaviors is insufficient to reach occupant-centric energy efficient.
Examine the various occupant behaviors in the Intelligent Human-Buildings Interactions lab under different energy-efficient measures.
Evaluate the effects of alternative behaviors on energy consumption to better comprehend the role of occupants in energy conservation.
Foster energy-saving behavior in an immersive, informative, and highly-engaged environment to achieve long-term behavior change.
The IHBI Lab is conducting a series of experiments to investigate the interactions. These experiments involve the use of an immersive built environment, an intelligent indoor environment, big-data driven modeling, and machine learning to create a hybrid virtual-physical experimental environment.