Passive Acoustic Detection of Wind Turbine In-Flow Conditions for Active Control and OptimizationCX(s) Applied: B3.1, B3.6, A9Date: 05/13/2010Location(s): MississippiOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office
Office of NEPA Policy and Compliance
May 13, 2010
Estimated Read Time min
Passive Acoustic Detection of Wind Turbine In-Flow Conditions for Active Control and Optimization
CX(s) Applied: B3.1, B3.6, A9
Date: 05/13/2010
Location(s): Mississippi
Office(s): Energy Efficiency and Renewable Energy, Golden Field Office
CX(s) Applied: B3.1, B3.6, A9
Date: 05/13/2010
Location(s): Mississippi
Office(s): Energy Efficiency and Renewable Energy, Golden Field Office
The University of Mississippi proposes to use federal funds to study and analyze wind data to predict wind gusts accurately that have detrimental effects on wind turbine lifespan. This research is aimed at reducing operating costs, protecting the wind turbine structure, and lowering wind turbine generated noise.