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Research: Lidar In Complex Flow

Complex flow phenomena pose challenges for wind turbine operation. A hybrid lidar-LES approach was developed to better predict re-circulation and turbulence, tested successfully in complex terrain in Norway, enabling accurate flow behavior descriptions.

Flow re-circulation and other complex flow phenomena occur frequently in complex terrain. These phenomena cause high turbulence, and can impose high loading and maintenance costs to exposed wind turbines. Most flow modelling tools struggle to predict the presence or behavior of these phenomena. Approximations such as the Reynolds Averaged Navier-Stokes approach used in most commercial CFD tools actually suppress these large scale turbulent fluctuations.

In order to better describe and predict re-circulation and high-turbulent spots, a hybrid lidar-LES approach was developed. The method has been tested in a full scale experiment in very complex terrain in a planned wind farm in Norway.

The results show that both high resolution lidar measurements and LES flow models can be used to describe large scale re-circulation in complex terrain. In regions where the scales of the main turbulent fluctuations are significantly larger than the spatial resolution of the lidar and the flow model, accurate descriptions of the flow behavior can be made.

Other project participants:

Fraunhofer IWES
Statkraft AS

 

 

See the full PDF Posters for:

Turbulence length scales in complex terrain

Predicting large-scale recirculation using hybrid lidar

Flow re-circulation example. Sped up using Clideo.com to better show impact.

RANS model (left) vs DES model. Clear underprediction of turbulence behind cliff in the RANS model. Large scale recirculation better represented in DES model.