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H 1 Wind energy: from downscaled forecasts to mills production

Auteurs : Rousseau, Antoine (Auteur de la Conférence)
CIRM (Editeur )

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    Résumé : 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.

    Codes MSC :
    60H10 - Stochastic ordinary differential equations
    76F55 - Statistical turbulence modeling
    76M35 - Stochastic analysis
    86-08 - Computational methods
    86A10 - Meteorology and atmospheric physics

    Informations sur la rencontre

    Nom du congrès : CEMRACS: Coupling multi-physics models involving fluids / CEMRACS : Couplage de modèles multi-physiques impliquant les fluides
    Organisteurs Congrès : Frénod, Emmanuel ; Maitre, Emmanuel ; Rousseau, Antoine ; Salmon, Stéphanie ; Szopos, Marcela
    Dates : 20/07/15 - 28/08/15
    Année de la rencontre : 2015
    URL Congrès : http://conferences.cirm-math.fr/1278.html

    Citation Data

    DOI : 10.24350/CIRM.V.18803703
    Cite this video as: Rousseau, Antoine (2015). Wind energy: from downscaled forecasts to mills production. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.18803703
    URI : http://dx.doi.org/10.24350/CIRM.V.18803703