Traditional energy simulation tools only consider fixed energy-related schedules and do not incorporate real time effects of occupants’ behavioral patterns in energy simulation. In this talk, an inter-disciplinary, Adaptive Building Simulation framework collecting actual building indoor environment data (through sensors) and human physiological and behavioral data (through wearable devices, polling apps, and surveys) and incorporate these data into a coupled and distributed software simulation system is presented. A case study performed using this framework measured occupants’ thermal comfort related actions and its effects on energy use in buildings and the results indicated energy savings by influencing the occupant behavior.