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Fluids 2018, 3(4), 73; https://doi.org/10.3390/fluids3040073

Comparison of Blade Element Method and CFD Simulations of a 10 MW Wind Turbine

Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Pfaffenwaldring 21, 70569 Stuttgart, Germany
Received: 31 July 2018 / Revised: 11 October 2018 / Accepted: 15 October 2018 / Published: 17 October 2018
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Abstract

The present studies deliver the computational investigations of a 10 MW turbine with a diameter of 205.8 m developed within the framework of the AVATAR (Advanced Aerodynamic Tools for Large Rotors) project. The simulations were carried out using two methods with different fidelity levels, namely the computational fluid dynamics (CFD) and blade element and momentum (BEM) approaches. For this purpose, a new BEM code namely B-GO was developed employing several correction terms and three different polar and spatial interpolation options. Several flow conditions were considered in the simulations, ranging from the design condition to the off-design condition where massive flow separation takes place, challenging the validity of the BEM approach. An excellent agreement is obtained between the BEM computations and the 3D CFD results for all blade regions, even when massive flow separation occurs on the blade inboard area. The results demonstrate that the selection of the polar data can influence the accuracy of the BEM results significantly, where the 3D polar datasets extracted from the CFD simulations are considered the best. The BEM prediction depends on the interpolation order and the blade segment discretization. View Full-Text
Keywords: aerodynamics; BEM; CFD; simulation; wind turbine aerodynamics; BEM; CFD; simulation; wind turbine
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Bangga, G. Comparison of Blade Element Method and CFD Simulations of a 10 MW Wind Turbine. Fluids 2018, 3, 73.

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