Using generative AI to accelerate and improve the wind turbine blade design process.

Researchers are exploring deep-learning models using neural networks to deliver high-fidelity modelling within the same tight timeframes. 

Designers specify target performance characteristics and then rapidly explore the range of shapes that correspond to those design targets. NREL has made the tools open-source and publicly available. 

Future research will look at improved 2D/3D shape representations, design for blades experiencing erosion or icing, and going well beyond blades and into the design of floating offshore platforms.