Monitoring and modeling systems

Obtaining dynamic models and simulation of energy systems with generation, storage and use of hydrogen.

Identification and estimation of online and offline parameters for hydrogen systems (electrolyzers, reformers, fuel cells and hydrogen storage systems).

Mathematical modeling, dynamic and numerical-computational simulation and experimental validation of fluid dynamic and energetic processes.

Design of fault diagnosis systems, systems that determine the state of health and prognosis systems.

Experimental design and experimental characterization.

Design and implementation of drivers.

Design of algorithms for the optimal management of resources, considering costs and emissions.

Prediction (generation, consumption) and detection (fault location, power loss) in electrical systems based on Machine Learning.

Creation of digital twins with artificial intelligence tools.

Creation of SCADAs for hydrogen systems and networks.