Abstract
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 language | American English |
|---|---|
| Publisher | National Laboratory of the Rockies (NLR) |
| Number of pages | 2 |
| State | Published - 2022 |
NLR Publication Number
- NREL/FS-5000-82756
Keywords
- aerodynamics
- airfoil
- blade
- inverse design
- machine learning
- neural networks
- wind energy
Fingerprint
Dive into the research topics of 'Enabling Innovation in Wind Turbine Design Using Artificial Intelligence'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver