2025-09-09 –, 202
The paper presents the use of data reconciliation to better characterize the operating state of experimental installations in an industrial context. The paper focuses on the development of a data reconciliation approach using the OpenModelica prototype to study first the detection of the defects in an experimental hydraulic test loop, but also the characterization of good measurement data in an HVAC testing facility. Data reconciliation is shown to be effective for the most pronounced defects intentionally introduced in the system. Regarding the characterization of measurements, data reconciliation identified two initially unnoticed invalid experiments.
Session Chair Bernhard Bachmann
EDF R&D
Research Engineer – EDF R&D
Master’s Degree in Energy Engineering
Experienced in the modeling and simulation of thermal systems, with expertise in both nodal and CFD approaches. Specialized in integrating statistical methods for:
+ Uncertainty quantification and propagation
+ System calibration and validation
+ Surrogate modeling using techniques such as Kriging and Polynomial Chaos Expansion