Calibration of occupant behavior schedule in residentialbuilding thermal load model with actual operation data

 Building energy simulation plays an important role in the design, operation and retrofit of buildings. In order to make it realistic, it is necessary to be calibrated. As an important factor affecting building energy consumption, a reasonable occupant behavior schedule is a prerequisite of accurate energy simulation results. Proposes an occupant behavior schedule calibration method for residential building thermal load simulation. That is, based on the semi-automatic calibration method coupling TRNSYS with GenOpt, uses the k-means clustering method to cluster outdoor temperature; and according to the clustering result, divides the heating season into different time periods and calibrates the schedules in different time periods respectively. Applying this method to a residential building, the MBE and CV(RMSE) of the calibrated model are reduced from -81.71% and 83.89% to -2.91% and 15.90%, respectively, meeting the requirements of related standards.