EPFL researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines, which despite their high energy potential, have until now been vulnerable to strong gusts of wind.
Sébastien Le Fouest and an experimental VAWT blade
Themes
Research and Tech Transfer, Mechanical Engineering, STI, Energy
