2018
DOI: 10.5194/wes-2018-51
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Advanced CFD-MBS coupling to assess low-frequency emissions from wind turbines

Abstract: Abstract. The low-frequency emissions from a generic 5 MW turbine are investigated numerically. In order to regard airborne noise and structure-borne noise simultaneously a process chain was developed. It considers fluid-structure coupling (FSC) of a computational fluid dynamics (CFD) solver and multibody simulations (MBS) solver as well as a Ffowcs Williams-Hawkings (FW-H) acoustic solver. The approach was applied to a generic 5 MW turbine to get more insight into the sources and mechanisms of low-frequency e… Show more

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Cited by 4 publications
(3 citation statements)
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“…In order to allow the communication between FLOWer and SIMPACK, moving, undeformed and reference system markers need to be defined as prescribed in (Klein et al (2018)). In the present study no controller is taken into account, that is why each simulation is conducted with a fixed rotational speed and pitch.…”
Section: Fsi Setup and Computed Casesmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to allow the communication between FLOWer and SIMPACK, moving, undeformed and reference system markers need to be defined as prescribed in (Klein et al (2018)). In the present study no controller is taken into account, that is why each simulation is conducted with a fixed rotational speed and pitch.…”
Section: Fsi Setup and Computed Casesmentioning
confidence: 99%
“…In section 2 the high-fidelity framework (as presented in Klein et al (2018)) is described for fluid-structure interaction coupled simulations on the NM80 2MW wind turbine rotor, also known as DANAERO rotor, (DANAERO). Additionally the inflow conditions and setup for the different cases are listed.…”
mentioning
confidence: 99%
“…Thereby, the movements of the different components are realized with the overset grid technique (Benek et al, 1986). At the authors' institute, FLOWer is continuously developed to improve simulation capabilities of rotary wings, including high-order schemes (Kowarsch et al, 2013), advanced turbulence modeling (Weihing et al, 2016), fluid structure interaction (Sayed et al, 2016;Klein et al, 2018), wake modeling (Weihing et al, 2017) and optimization for high-performance computing (Letzgus et al, 2018). The code has been extensively validated for wind turbine flows during the MexNext projects, providing accurate predictions of loads and wake measurements (Schepers et al, 2012;Boorsma et al, 2018).…”
Section: Flow Solver and Numerical Settingsmentioning
confidence: 99%