Development of wake meandering detection algorithms and their application to large eddy simulations of an isolated wind turbine and a wind farm

Coudou, Nicolas;Moens, Maud;Marichal, Yves;Van Beeck, Jeroen;Chatelain, Philippe;et.al.
(2018)

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Coudou_2018_J_Phys3A_Conf_Ser_1037_072024.pdf
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Authors
  • Coudou, NicolasUCLouvain
    Author
  • Moens, MaudUCLouvain
    Author
  • Marichal, YvesUCLouvain
    Author
  • Van Beeck, Jeroenvon Karman Institute for Fluid Dynamics
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Abstract
We investigate several algorithms to detect the centerline of a wind turbine wake. First, we apply these methods during Large Eddy Simulations of an isolated wind turbine subject to a uniform ( TI = 0%) and a synthetic turbulent inflow ( TI = 10%). The simulations are performed using a vortex-particle mesh method with the blades modeled using immersed lifting lines. The most robust algorithm is then applied to investigate the wakes positions inside a wind farm. At wind farm scale, the simulations are performed with a fourth-order finite difference code inside which the wind turbines are accounted for through advanced actuator disks.
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Citations

Coudou, N., Moens, M., Marichal, Y., Van Beeck, J., Bricteux, L., & Chatelain, P. (2018). Development of wake meandering detection algorithms and their application to large eddy simulations of an isolated wind turbine and a wind farm. Journal of Physics Conference Series, 1037(1037), 72024. https://doi.org/10.1088/1742-6596/1037/7/072024 (Original work published 2018)