fastFoam - An aero-servo-elastic wind turbine simulation method based on CFD

Master thesis (2017)

Authors

M. Becker Aerospace Engineering

Contributors

Carlos Ferreira (mentor)
C.F. Baptista (mentor)
Elia Daniele (mentor)
R.P. Dwight (graduation committee member)
A.H. van Zuijlen (graduation committee member)
Faculty
Aerospace Engineering, Aerospace Engineering
Copyright: © 2017 Max Becker
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Published Date

05-12-2017

Language

English

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Faculty

Aerospace Engineering

Abstract

The current wind turbine design tools are based on aerodynamic simulations using blade element momentum (BEM) codes to calculate loads and power, see for instance the tools HAWC2, Bladed or FAST. This engineering method is computationally efficient, but theoretically valid only for steady two dimensional flow in non-yawed conditions.

To overcome these limitations engineering add-ons are used based on measurements or advanced methods. However, these include approximations which may result in introduced errors, especially in
extreme operational conditions such as yaw. Moreover, future turbines may utilize flaps or slats and experience tip speeds higher than 110 m/s leading to Mach and Reynolds number effects for which the current tools are not validated yet.

Therefore, the objective of this Master thesis is the development of an aero-servo-elastic simulation method based on an aerodynamic method with increased fidelity compared to BEM such as computational fluid dynamics (CFD). This was achieved by replacing the BEM module of NREL FAST by an OpenFOAM CFD code. Therefore, FAST and OpenFOAM were coupled by utilizing the neutral interface MpCCI.

Finally, it was investigated how such a method can be justified when compared to the state-of-the-art tools, which use BEM. The implemented coupled method was thereby validated against experimental data from the NREL phase VI experiment. The Master thesis project, which was carried out externally at the CFD department of Fraunhofer IWES, showed that there is a need for more accurate methods especially in extreme conditions such as heavy yaw.