Golden Eagle Behavioral Modeling Enabled by High-Fidelity Atmospheric Models

Research output: NRELPresentation

Abstract

The DOE-funded Golden Eagle Behavioral Modeling project combines knowledge of eagle behavior, eagle telemetry data, high-fidelity atmospheric and wind power plant flow models, and machine learning to develop tools that predict behavior and risk around wind power plants. This presentation provides background on the project and modeling approaches, as well as recent modeling and validation results from the region around the Top of the World wind plant in Wyoming.
Original languageAmerican English
Number of pages27
StatePublished - 2021

Publication series

NamePresented at the WREN Webinar, 23 March 2021

NREL Publication Number

  • NREL/PR-5000-79608

Keywords

  • high-fidelity modeling
  • machine learning
  • mesoscale-to-microscale coupling
  • raptor behavior
  • wind-wildlife interaction

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