Validation of a CFD model with a synchronized triple-lidar system in the wind turbine induction zone

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A novel validation methodology allows verifying a CFD model over the entire wind turbine induction zone using measurements from three synchronized lidars. The validation procedure relies on spatially discretizing the probability density function of the measured free-stream wind speed. The resulting distributions are reproduced numerically by weighting steady-state Reynolds averaged Navier-Stokes simulations accordingly. The only input varying between these computations is the velocity at the inlet boundary. The rotor is modelled using an actuator disc. So as to compare lidar and simulations, the spatial and temporal uncertainty of the measurements is quantified and propagated through the data processing. For all velocity components the maximal difference between measurements and model are below 4.5% relative to the average wind speed for most of the validation space. This applies to both mean and standard deviation. One rotor radius upstream the difference reaches maximally 1.3% for the axial component.
Original languageEnglish
JournalWind Energy
Pages (from-to)1481-1498
Number of pages18
Publication statusPublished - 2017


  • Renewable Energy, Sustainability and the Environment
  • Blockage effect
  • CFD
  • Induction zone
  • Lidar
  • Uncertainty quantification
  • Upstream flow
  • Validation
  • Actuator disks
  • Computational fluid dynamics
  • Data handling
  • Navier Stokes equations
  • Optical radar
  • Uncertainty analysis
  • Wind
  • Wind turbines
  • Blockage effects
  • Mean and standard deviations
  • Measurements and modeling
  • Reynolds-averaged navier-stokes simulations
  • Uncertainty quantifications
  • Validation methodologies
  • Probability density function

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