Enabling Innovation in Wind Turbine Design Using Artificial Intelligence

Research output: NRELFact Sheet


The Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements (INTEGRATE) project is developing a new inverse-design capability for wind turbine rotors using invertible neural networks. This artificial intelligence (AI)-based technology can capture complex nonlinear aerodynamic effects 100 times faster than alternative design approaches.
Original languageAmerican English
Number of pages2
StatePublished - 2022

NREL Publication Number

  • NREL/FS-5000-82756


  • aerodynamics
  • airfoil
  • blade
  • inverse design
  • machine learning
  • neural networks
  • wind energy


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