Influence of atmospheric conditions on measured infrasound from wind turbines

D'Amico, Sarah; Renterghem, Timothy Van; Botteldooren, Dick

doi:10.1016/j.jweia.2022.105021

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…It has been shown that the emitted low-frequency sound power of the tower depends on the rotational speed and on the wind speed, while the emissions of the blades are additionally influenced by the turbulence intensity. These numerical results match the findings from free-field measurements by Blumendeller et al, 15 who observed the same correlation between rotational speed and low-frequency sound emission, and by D'Amico et al, 17 who identified wind speed as well as turbulence intensity as dominant influencing factors. A yawed inflow is negligible for the sound emissions as long as it is not so large that the operating mode changes.…”

Section: Sound Power Levelsupporting

confidence: 88%

“…Only one study has been found that allows a prediction of the generation of infrasound based on atmospheric inflow parameters. In D'Amico et al, 17 a detailed long‐term measurement campaign is presented that combines infrasound measurements in the vicinity of WTs with meteorological measurements to investigate the noise emitted by WTs as a function of meteorological parameters. A distinction was made between tonal BTI‐noise and broadband IT‐noise.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of low‐frequency aeroacoustic emissions of a wind turbine under rapidly changing wind conditions based on an aero‐servo‐elastic CFD simulation

Wenz

Maas

Arnold³

et al. 2023

Wind Energy

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A meteorologically challenging situation that represents a demanding control task (rotational speed, pitch and yaw) for a wind turbine is presented and its implementation in a simulation is described. A high‐fidelity numerical process chain, consisting of the computational fluid dynamics (CFD) solver FLOWer, the multi‐body system (MBS) software SIMPACK and the Ffowcs Williams‐Hawkings code ACCO, is used. With it, the aerodynamic, servoelastic and aeroacoustic (<20 Hz) behaviour of a generic wind turbine during a meteorological event with strong and rapid changes in wind speed and direction is investigated. A precursor simulation with the meteorological model system PALM is deployed to generate realistic inflow data. The simulated strong controller response of the wind turbine and the resulting aeroelastic behaviour are analysed. Finally, the low‐frequency sound emissions are evaluated and the influence of the different operating and flow parameters during the variable inflow is assessed. It is observed that the wind speed and, linked to it, the rotational speed as well as the turbulence intensity are the main influencing factors for the emitted low‐frequency sound power of the wind turbine. Yawed inflow, on the other hand, has little effect unless it changes the operational mode to load reduction, resulting in a swap of the main emitter from the blades to the tower.

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Section: Sound Power Levelsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%