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.
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.
A hybrid system framework for robust model predictive control. This project will produce new analysis and design tools to develop novel hybrid model predictive control systems with guaranteed stability, robustness and fault tolerance. We foresee major benefits for Australia by enhancing its scientific reputation and by promoting safety, efficiency and technological innovation in industries and services.
Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
Improved design and operational efficiency of small wind turbines in unsteady flows. The purpose of this research is to improve the design and performance of small wind turbines for energy generation. The expected outcomes are novel control strategies and mechanical designs that account for unsteady aerodynamics and its effects on structural loads and power quality. Recommendations to improve current design standards will be made.
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.Read moreRead less
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.Read moreRead less
A new role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allo ....A new role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allow estimation of relatively weak friction forces, previously neglected, as an important prognostic tool. This would allow detailed root cause analysis and prediction of remaining useful life. Improvements in gear prognosis would have safety and economic benefits by eliminating unforeseen catastrophic failures and optimising maintenance schedules.Read moreRead less
A compact microphone array system for outdoor low frequency noise measurements. To investigate the impact of wind farm noise on surrounding communities, the sound level caused by wind turbines must be accurately measured, which sometimes is hard due to wind induced noise and other interference noise. This project aims to propose a novel compact microphone array solution, where the wind induced noise is attenuated by a specially designed windproof shell first, and then the residual wind induced n ....A compact microphone array system for outdoor low frequency noise measurements. To investigate the impact of wind farm noise on surrounding communities, the sound level caused by wind turbines must be accurately measured, which sometimes is hard due to wind induced noise and other interference noise. This project aims to propose a novel compact microphone array solution, where the wind induced noise is attenuated by a specially designed windproof shell first, and then the residual wind induced noise and other interference noise are further filtered out by a specific adaptive noise cancellation algorithm based on the spherical and differential microphone array structure. With the proposed system, the measurement configuration size is expected to be reduced from the current few metres to less than 10 centimetres, and with better accuracy.Read moreRead less
High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. Thi ....High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creating more pleasant communities.Read moreRead less