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Journal article ยท Conference paper

Final results from the EU project AVATAR: aerodynamic modelling of 10 MW wind turbines

From

Energy Research Centre of the Netherlands1

Fraunhofer Institute for Wind Energy Systems2

University of Glasgow3

Centre of Renewable Energy Resources and Saving4

Polytechnic University of Milan5

LM Wind Power6

Department of Wind Energy, Technical University of Denmark7

Aerodynamic design, Department of Wind Energy, Technical University of Denmark8

National Technical University of Athens9

ForWind10

University of Stuttgart11

GE Deutschland12

National Renewable Energy Center13

Delft University of Technology14

...and 4 more

This paper presents final results from the EU project AVATAR in which aerodynamic models are improved and validated for wind turbines on a scale of 10 MW and more. Special attention is paid to the improvement of low fidelity engineering (BEM based) models with higher fidelity (CFD) models but also with intermediate fidelity free vortex wake (FVW) models.

The latter methods were found to be a good basis for improvement of induction modelling in engineering methods amongst others for the prediction of yawed cases, which in AVATAR was found to be one of the most challenging subjects to model. FVW methods also helped to improve the prediction of tip losses.

Aero-elastic calculations with BEM based and FVW based models showed that fatigue loads for normal production cases were over predicted with approximately 15% or even more. It should then be realised that the outcome of BEM based models does not only depend on the choice of engineering add-ons (as is often assumed) but it is also heavily dependent on the way the induced velocities are solved.

To this end an annulus and element approach are discussed which are assessed with the aid of FVW methods. For the prediction of fatigue loads the so-called element approach is recommended but the derived yaw models rely on an annulus approach which pleads for a generalised solution method for the induced velocities.

Language: English
Publisher: IOP Publishing
Year: 2018
Pages: 022013
ISSN: 17426596 and 17426588
Types: Journal article and Conference paper
DOI: 10.1088/1742-6596/1037/2/022013
ORCIDs: Sorensen, N.

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