Wind turbine low frequency and infrasound propagation and sound pressure level calculations at dwellings.

J Acoust Soc Am

MG Acoustics, 5490 Piperville Road, Carlsbad Springs, Ontario K0A 1K0, Canada.

Published: August 2018

AI Article Synopsis

  • The study measured low frequency and infrasound levels from wind turbines at 1238 homes, finding that spectral peaks could be detected up to 10 km away.
  • Combining field data with meteorological models, researchers validated their findings using Parabolic Equation and Fast Field Program calculations, even without onsite weather data.
  • Evaluations revealed that ISO 9613-2 methods could be useful for estimating sound levels, particularly within 4.5 km, but tended to underestimate levels beyond 1 km, indicating a preference for FFP calculations in specific scenarios.

Article Abstract

This study was developed to estimate wind turbine low frequency and infrasound levels at 1238 dwellings in Health Canada's Community Noise and Health Study. In field measurements, spectral peaks were identifiable for distances up to 10 km away from wind turbines at frequencies from 0.5 to 70 Hz. These measurements, combined with onsite meteorology, were in agreement with calculations using Parabolic Equation (PE) and Fast Field Program (FFP). Since onsite meteorology was not available for the Health Canada study, PE and FFP calculations used Harmonoise weather classes and field measurements of wind turbine infrasound to estimate yearly averaged sound pressure levels. For comparison, infrasound propagation was also estimated using ISO 9613-2 (1996) calculations for 63 Hz. In the Health Canada study, to a distance of 4.5 km, long term average FFP calculations were highly correlated with the ISO based calculations. This suggests that ISO 9613-2 (1996) could be an effective screening method. Both measurements and FFP calculations showed that beyond 1 km, ISO based calculations could underestimate sound pressure levels. FFP calculations would be recommended for large distances, when there are large numbers of wind turbines, or when investigating specific meteorological classes.

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http://dx.doi.org/10.1121/1.5051331DOI Listing

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