| 요약2 |
This study presents a method to predict occupant's presence in residential apartment buildings. Though it was recognized that correct prediction of occupant's behavior is important for building simulations, it was not presented in an accurate method to predict the occupant's behavior. In the study, sensitivity analysis was implemented to correlate input values(uncertain parameters) with output value(CO2 concentration - Living Room) in a typical apartment floor plan in Jeju, Korea. The result shows that the occupant's schedule is more influential than any other input variables. The occupant's modeling was performed throughout the Markov Chain Method. As expected it was found that the Markov Chain Method performs satisfactorily in prediction of occupant's presence in residential apartment buildings. |