SLPIV with natural snowflakes maps the induction zone and velocity discrepancies between nacelle sonic anemometer and upstream flow at a utility-scale turbine, showing systematic dependence on wind speed, yaw error, and incidence angle.
The aerodynamics of the curled wake: a simplified model in view of flow control
2 Pith papers cite this work. Polarity classification is still indexing.
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Four analytical wake models are tested against field measurements from Lillgrund, reproducing wake trends with normalised velocity deficit MAE of 7-15% and power errors up to 30% at farm level.
citing papers explorer
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Investigation on the Atmospheric Incoming Flow of a Utility-Scale Wind Turbine using Super-large-scale Particle Image Velocimetry
SLPIV with natural snowflakes maps the induction zone and velocity discrepancies between nacelle sonic anemometer and upstream flow at a utility-scale turbine, showing systematic dependence on wind speed, yaw error, and incidence angle.
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Assessing engineering wake models against operational data: insights from the Lillgrund wind farm wake steering campaign
Four analytical wake models are tested against field measurements from Lillgrund, reproducing wake trends with normalised velocity deficit MAE of 7-15% and power errors up to 30% at farm level.