Dependencies of Underwater Noise from Offshore Wind Farms on Distance, Wind Speed, and Turbine Power

The operational phase of offshore wind farms, lasting up to 20–25 years, exceeds the construction phase in duration. The ecological effects of underwater noise demand serious consideration, necessitating urgent research into its acoustic characteristics. This review conducts a systematic analysis of measurements of underwater noise from operational offshore wind farms, considering the correlations between turbine noise and distance, wind speed, turbine power, and foundation type. Propagation distance is the most critical factor influencing the underwater sound pressure level (SPL) of wind turbines, exhibiting a negative correlation with the SPL, with an attenuation of approximately 20.4 dB/decade. In contrast, wind speed and turbine power show a positive correlation with the SPL, with increase rates of 18.5 dB/decade and 12.4 dB/decade, respectively. Further analysis shows that foundation type and drive technology also have a significant impact on underwater SPL. With technological innovation, specifically the upgrade from conventional geared drive to direct-drive technology, the level of underwater noise can be reduced by approximately 9 dB, with the primary peak frequency being shifted to a lower range. Moreover, significant variations in SPLs were noted with the utilization of various types of foundation structures, with monopile foundations exhibiting the highest SPLs of underwater noise. These conclusions have important reference value for the scientific assessment of the health of aquatic organisms and ecosystems.

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Publication Details

Journal
Acoustics
Published
2025-11-04
DOI
https://doi.org/10.3390/acoustics7040071
Citations
1
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
1.72
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article

Dependencies of Underwater Noise from Offshore Wind Farms on Distance, Wind Speed, and Turbine Power

Qin Ge, Sihao Qian, Xuguang Zhang, Hongyi Guo et al.
1 citations
Acoustics
Marine animal studies overview
1.72
article

Dependencies of Underwater Noise from Offshore Wind Farms on Distance, Wind Speed, and Turbine Power

Qin Ge, Sihao Qian, Xuguang Zhang, Hongyi Guo, Haicheng Yao
article en
1 citations

Abstract

The operational phase of offshore wind farms, lasting up to 20–25 years, exceeds the construction phase in duration. The ecological effects of underwater noise demand serious consideration, necessitating urgent research into its acoustic characteristics. This review conducts a systematic analysis of measurements of underwater noise from operational offshore wind farms, considering the correlations between turbine noise and distance, wind speed, turbine power, and foundation type. Propagation distance is the most critical factor influencing the underwater sound pressure level (SPL) of wind turbines, exhibiting a negative correlation with the SPL, with an attenuation of approximately 20.4 dB/decade. In contrast, wind speed and turbine power show a positive correlation with the SPL, with increase rates of 18.5 dB/decade and 12.4 dB/decade, respectively. Further analysis shows that foundation type and drive technology also have a significant impact on underwater SPL. With technological innovation, specifically the upgrade from conventional geared drive to direct-drive technology, the level of underwater noise can be reduced by approximately 9 dB, with the primary peak frequency being shifted to a lower range. Moreover, significant variations in SPLs were noted with the utilization of various types of foundation structures, with monopile foundations exhibiting the highest SPLs of underwater noise. These conclusions have important reference value for the scientific assessment of the health of aquatic organisms and ecosystems.

AcousticsVol. 7(4)
Shanghai Ocean University (CN)
Openalex Percentile: Top 13%
Marine animal studies overview
1.72
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Dependencies of Underwater Noise from Offshore Wind Farms on Distance, Wind Speed, and Turbine Power — Qin Ge, Sihao Qian, et al. · Acoustics (2025) | TGRS Research Map | TGRS