Long term wind turbine sound monitoring

In the DLR Windpark Wiwaldi, consisting of two wind turbines, extensive measurements of sound and meteorology have been conducted. In the context of long-term wind turbine sound monitoring, the data from such measurements are used to understand and decipher physical effects. This kind of data suffers sometimes for reliability, because of many changing conditions and situations around the microphone. Therefore, in three different phases the sound of various sources were captured. Before the turbines were installed, initial measurements were made to identify background noise, followed by additional measurements to assess the impact of installing weather masts on the sound field. Ultimately, the wind turbines were operated reporting the exact state of the turbines (such as rotation speed, pitch, yaw, etc.) to relate to the associated sound levels. This presentation illustrates how all these measurements are used to create a consistent picture of the noise situation around the wind park depending on specific weather situation and discusses the need of accuracy. We document the limitations and uncertainties associated with the measurements and show these limitations when interpreting and reporting the results to ensure users in understanding the reliability and confidence level of such data.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_4075
Primary Topic
Vehicle Noise and Vibration Control
Type
article
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article

Long term wind turbine sound monitoring

Arthur Schady
NOISE-CON proceedings
Vehicle Noise and Vibration Control
article

Long term wind turbine sound monitoring

Arthur Schady
article en

Abstract

In the DLR Windpark Wiwaldi, consisting of two wind turbines, extensive measurements of sound and meteorology have been conducted. In the context of long-term wind turbine sound monitoring, the data from such measurements are used to understand and decipher physical effects. This kind of data suffers sometimes for reliability, because of many changing conditions and situations around the microphone. Therefore, in three different phases the sound of various sources were captured. Before the turbines were installed, initial measurements were made to identify background noise, followed by additional measurements to assess the impact of installing weather masts on the sound field. Ultimately, the wind turbines were operated reporting the exact state of the turbines (such as rotation speed, pitch, yaw, etc.) to relate to the associated sound levels. This presentation illustrates how all these measurements are used to create a consistent picture of the noise situation around the wind park depending on specific weather situation and discusses the need of accuracy. We document the limitations and uncertainties associated with the measurements and show these limitations when interpreting and reporting the results to ensure users in understanding the reliability and confidence level of such data.

NOISE-CON proceedingsVol. 270(3)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Affordable and clean energy
Openalex Percentile: Top 82%
Vehicle Noise and Vibration Control
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