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Wind energy: from downscaled forecasts to mills production

By Antoine Rousseau

Appears in collection : CEMRACS: Coupling multi-physics models involving fluids / CEMRACS : Couplage de modèles multi-physiques impliquant les fluides

In this talk, I will introduce the stochastic downscaling method (SDM) that borrows techniques from small scale turbulence (S.B. Pope) for the simulation of wind flows thanks to hybrid methods (deterministic-stochastic). I will present the downscaling method used to refine a wind forecast at a sufficiently small scale, and the way wind turbines are implemented in the model. Comparisons with traditional numerical methods (LES) and validation w.r.t. experimental data will also be provided.

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Citation data

  • DOI 10.24350/CIRM.V.18803703
  • Cite this video Rousseau, Antoine (13/08/2015). Wind energy: from downscaled forecasts to mills production. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.18803703
  • URL https://dx.doi.org/10.24350/CIRM.V.18803703

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