Advanced computational fluid dynamics (CFD)–multi-body simulation (MBS) coupling to assess low-frequency emissions from wind turbines
<p>The low-frequency emissions from a generic 5 MW wind turbine are investigated numerically. In order to regard airborne noise and structure-borne noise simultaneously, a process chain is developed. It considers fluid–structure coupling (FSC) of a computational fluid dynamics (CFD) solver...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-10-01
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Series: | Wind Energy Science |
Online Access: | https://www.wind-energ-sci.net/3/713/2018/wes-3-713-2018.pdf |
Summary: | <p>The low-frequency emissions from a generic 5 MW wind turbine are
investigated numerically. In order to regard airborne noise and
structure-borne noise simultaneously, a process chain is developed. It
considers fluid–structure coupling (FSC) of a computational fluid dynamics
(CFD) solver and a multi-body simulations (MBSs) solver as well as a Ffowcs-Williams–Hawkings (FW-H) acoustic solver. The approach is applied to a
generic 5 MW turbine to get more insight into the sources and
mechanisms of low-frequency emissions from wind turbines. For this purpose
simulations with increasing complexity in terms of considered components in
the CFD model, degrees of freedom in the structural model and inflow in the
CFD model are conducted. Consistent with the literature, it is found that
aeroacoustic low-frequency emission is dominated by the blade-passing
frequency harmonics. In the spectra of the tower base loads, which excite
seismic emission, the structural eigenfrequencies become more prominent with
increasing complexity of the model. The main source of low-frequency
aeroacoustic emissions is the blade–tower interaction, and the contribution of
the tower as an acoustic emitter is stronger than the contribution of the
rotor. Aerodynamic tower loads also significantly contribute to the external
excitation acting on the structure of the wind turbine.</p> |
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ISSN: | 2366-7443 2366-7451 |