Luis Corona Mesa-Moles
EDF R&D, France
Jean-Philippe Argaud
EDF R&D, France
Audrey Jardin
EDF R&D, France
Amine Benssy
EDF R&D, France
Yulu Dong
EDF R&D, France
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http://dx.doi.org/10.3384/ecp19157553Published in: Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Linköping Electronic Conference Proceedings 157:56, p. 8
Published: 2019-02-01
ISBN: 978-91-7685-122-7
ISSN: 1650-3686 (print), 1650-3740 (online)
ThermoSysPro (TSP) is a library for the modeling and simulation of power plants and energy systems. It has been developed by EDF and it is released under open source license. When developing models with TSP it is necessary to ensure that they match reality. In practice, this operation is performed by adjusting the value of the parameters appearing in the model. This major step corresponds to model calibration.
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.
Modelica, ThermoSysPro, ADAO, data assimilation, model calibration, thermal-hydraulics, pressurized water reactor
