Bottom-up simulation calibration of zone and system level models using building automation system (BAS) trend data

The bottom-up calibration approach sequentially calibrates the zone, system, plant, and whole-building level models. The approach was applied to an eQUEST model on a zone and system level of a university research center using building automation system (BAS) trend data. This study focused on the shoulder season when the heating and cooling coils in air handling units (AHUs) were inactive. The zone level models’ coefficient of variation of root-mean-squared error (CV-RMSE) for indoor air temperatures and supply air flow rates ranged from 3-6 % and 3-34 %, respectively, with the exception of two zones that did not fit the BAS trend data well. Calibrating the zone level models first and using system level inputs generated from BAS trend data resulted in calibrated system level AHU temperatures, supply air flow rates, and heat recovery heat flow rates with a CV(RMSE) of 7-19%, 11%, and 25%, respectively. 1 Background

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