Using Modelica to simulate the dynamic behaviours of building HVAC systems has gained popularity. Calibration of a Modelica model that represents large and complex HVAC systems involves elaborate and time-consuming determination of hundreds of parameters. This study proposes a systematic framework to calibrate and validate an HVAC system model in Modelica. The framework includes strategies to decouple the model and calibrate it with multi-source data, aiming to efficiently and accurately determine Modelica model parameters that provide a good match between the simulated and real system behaviours. To demonstrate the validity, the framework was applied to calibrate the parameters of a Modelica model representing a real AHU-VAV system with components such as fans, pumps, dampers, valves, chillers, etc. The results show that the simulated results match well with the real system measurement of VAV supply air condition and equipment power consumption within the acceptance criteria.
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