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Publications associées (125)
A machine learning architecture for including wave breaking in envelope-type wave models
Wave breaking is a complex physical process about which open questions remain. For some applications, it is critical to include breaking effects in phase-resolved envelope-based wave models such as the non-linear Schr & ouml;dinger. A promising approach is ...
Pergamon-Elsevier Science Ltd2024On the prediction of the induced damage by the start-up sequence of Francis turbines: On operational resilience framework
Mario Paolone, Christophe Nicolet, Elena Vagnoni, Martin Seydoux
The number of transient operations in hydraulic machinery connected to power grid, notably start-ups and shut-downs, has observed a substantial increase in recent decades, primarily driven by the global shift toward intermittent renewable energy sources. S ...
2024Enhancing Wind Farm Performance through Axial Induction and Tilt Control: Insights from Wind Tunnel Experiments
Fernando Porté Agel, Guillem Armengol Barcos
Static axial induction control and tilt control are two strategies that have the potential to increase power production in wind farms, mitigating wake effects and increasing the available power for downstream turbines. In this study, wind tunnel experiment ...
Basel2024