Real-time unsteady air flow prediction to reduces mechanic load variations and wind turbine maintenance costs
Abstract
For actively controlling aerodynamic systems – like Wind Turbine (WT) blades -- it can be necessary to estimate in real-time and predict the air flow around those systems. We propose here a new method which combines machine learning,
physical models and measurements for this purpose. Very good numerical results have been obtained on wake flows.
| Origin | Files produced by the author(s) |
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