Honors College Thesis
 

Numerical Analysis of Experimental Impacts on Wind Turbine Blades

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  • Wind energy is one of the fastest growing renewable forms of energy in the United States and the world. However, interactions between wind turbines and wildlife have the possibility to injure animals such as birds and bats. Strategies to assess and minimize wind turbine interactions with wildlife are critical for wind energy expansion. This research analyzes data from a proposed blade-impact automatic monitoring system that applies various vibration sensing technologies. Analysis of these signals can be used to determine when a specific outlier of the vibration data is correlated with an impact on a blade. For this research, various algorithms for data processing have been developed and tested with the objective of identifying typical turbine vibrations that can be filtered for data processing, improving impact detection. The results show that the signals were cleaned of the lower frequencies, but hidden, low-energy impacts did not become visible in the filtered time histories. The tests were run at the Department of Energy National Wind Technology Center. Funding for the project was provided by the Department of Energy Office of Energy Efficiency and Renewable Energy.
  • Keywords: Bird, Bat, Vibrations, Wind Turbine, Wind Energy
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