Wind turbine wake models developed at the technical university of Denmark: A review

Tuhfe Göçmen, Paul van der Laan, Pierre-Elouan Réthoré, Alfredo Peña Diaz, Gunner Chr. Larsen and Søren Ott

Renewable and Sustainable Energy Reviews, 2016, vol. 60, issue C, 752-769

Abstract: Wind turbine wakes are one of the most important aspects in wind power meteorology because they decrease the power production and increase the loading of downstream wind turbines. Therefore, there is a continuous need to find a ‘good’ wake model to properly plan wind power plant-level control strategies, predict the performance and understand the fatigue loads of turbines. In this paper, six widely used approaches of wake modelling (Jensen, Larsen, Dynamic Wake Meandering, Fuga and, Ellipsys3D LES and RANS together with their interpretations) that were developed at Technical University of Denmark, are described and the model subcomponents are analysed. The models are evaluated using data from the Sexbierum (onshore) and the Lillgrund (offshore) wind farms to understand how to best utilize them.

Keywords: Wind turbine; Wake modelling; Wake models benchmark (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (70)

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DOI: 10.1016/j.rser.2016.01.113

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