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Socio-Economic Objective : Wind Energy
Research Topic : nested case control study
Australian State/Territory : SA
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Acoustics and Noise Control (excl. Architectural Acoustics) (4)
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  • Funded Activity

    Discovery Projects - Grant ID: DP120102185

    Funder
    Australian Research Council
    Funding Amount
    $500,000.00
    Summary
    Quantifying the impact of wind farm noise on rural communities. This project is directed at quantifying the level and character of wind farm noise experienced by rural communities, to gain an understanding of the likelihood of the emitted sound causing the medical symptoms experienced by these communities. The outcome will be an accurate prediction model that covers infrasound, the audio range and modulation.
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    Funded Activity

    Discovery Projects - Grant ID: DP130103136

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Resolving the mechanics of wind turbine noise production. This project will investigate how wind turbines produce noise. It will do this by developing the most sophisticated wind turbine noise experiment in the world, which will allow the construction of better designed wind farms, better public policy and new noise control technologies.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100022

    Funder
    Australian Research Council
    Funding Amount
    $368,446.00
    Summary
    Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise .... Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise and community disturbance. Significant benefits include improved health and quality of life for people living near wind farms and greater public acceptance of wind farms in rural communities.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE150101528

    Funder
    Australian Research Council
    Funding Amount
    $345,000.00
    Summary
    Resolving the mechanics of wall-mounted finite airfoil noise production. Noise from air transportation and wind turbines is a rapidly growing component of environmental noise pollution that must be reduced to improve public health and well-being. A submarine must also have a low acoustic signature to ensure its stealthiness. The common source of noise generation among these technologies is the airfoil, yet we do not understand how they create noise in real, complex environments. This project aim .... Resolving the mechanics of wall-mounted finite airfoil noise production. Noise from air transportation and wind turbines is a rapidly growing component of environmental noise pollution that must be reduced to improve public health and well-being. A submarine must also have a low acoustic signature to ensure its stealthiness. The common source of noise generation among these technologies is the airfoil, yet we do not understand how they create noise in real, complex environments. This project aims to understand how fluid flow interacts with a wall-mounted finite airfoil to produce sound. The project aims to identify the noise producing physics via a novel wind tunnel experiment and numerical study. This enhanced understanding will create better airfoil noise prediction and control strategies in the future.
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    Showing 1-4 of 4 Funded Activites

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