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Statistical characteristics of interacting wind turbine wakes from a 7-month LiDAR measurement campaign

Eulalio Torres-Garcia Sandrine Aubrun-Sanches 1, 2 Olivier Coupiac Nicolas Girard Boquet Matthieu 3
1 LHEEA - Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique
2 PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique
3 LEOSPHERE France
Keywords : wind energy wind turbine wake wake interactions scanning lidar field experiments
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Journal articles
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https://hal-univ-orleans.archives-ouvertes.fr/hal-02080869
Contributor : Sandrine Aubrun <>
Submitted on : Wednesday, March 27, 2019 - 9:50:23 AM
Last modification on : Tuesday, December 8, 2020 - 9:57:37 AM

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UNIV-ORLEANS | CNRS | UNAM | PRISME-CVL | INSA-GROUPE | EC-NANTES | LHEEA | INSA-CVL

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Eulalio Torres-Garcia, Sandrine Aubrun-Sanches, Olivier Coupiac, Nicolas Girard, Boquet Matthieu. Statistical characteristics of interacting wind turbine wakes from a 7-month LiDAR measurement campaign. Renewable Energy, Elsevier, 2019, 130, pp.1-11. ⟨10.1016/j.renene.2018.06.030⟩. ⟨hal-02080869⟩

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