Calibration can be performed through various methods. A classical way to do so with Modelica models is by model inversion. The major inconvenience of this method, in addition of potential convergence problems for complex models, is that it is necessary to have exactly the same number of measurements as parameters to be calibrated, which is not often the case in practice.
This paper shows how data assimilation techniques can robustly be used for calibration of complex TSP models avoiding the inconveniences associated to calibration by model inversion while ensuring an optimal use of the available measurements. A complex TSP model of the secondary loop of a Pressurized Water Reactor (PWR) is considered for this purpose.
Keywords: Modelica, ThermoSysPro, ADAO, data assimilation, model calibration, thermal-hydraulics, pressurized water reactor