Wind turbine wake models developed at the technical university of Denmark: A review
Tuhfe Göçmen,Paul van der Laan,Pierre-Elouan Réthoré,Alfredo Pena Diaz,Gunner Chr. Larsen,Søren Ott +5 more
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In this article, six widely used approaches of wake modelling (Jensen, Larsen, Dynamic Wake Meandering, Fuga and, Ellipsys3D LES and RANS together with their interpretations) are described and the model subcomponents are analyzed.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. The paper provides a comprehensive conceptual background to wake modelling combined with the overview of the state-of-the-art models including their implementations on operating wind farms.read more
Citations
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Wind-Turbine and Wind-Farm Flows: A Review
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Proceedings ArticleDOI
A tutorial on control-oriented modeling and control of wind farms
Sjoerd Boersma,Bart M. Doekemeijer,P.M.O. Gebraad,Paul Fleming,Jennifer Annoni,Andrew Scholbrock,Joeri Frederik,J-W van Wingerden +7 more
TL;DR: This paper can serve as a source of background information and provides many references regarding control-oriented modeling and control of wind farms and recent developments and literature are discussed and categorized.
Journal ArticleDOI
Review and evaluation of wake loss models for wind energy applications
Cristina L. Archer,Ahmadreza Vasel-Be-Hagh,Ahmadreza Vasel-Be-Hagh,Chi Yan,Sicheng Wu,Yang Pan,Joseph F. Brodie,Joseph F. Brodie,A. Eoghan Maguire +8 more
TL;DR: In this article, the authors examined the performance of six well-known analytical wake loss models, namely, Jensen, Larsen, Frandsen, Bastankah and Porte-Agel (BPA), Xie and Archer (XA), and Geometric Model (GM), by comparing their absolute error, bias, correlation coefficient, and ability to predict power production within one standard deviation of the mean observed values at three major commercial wind farms.
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