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.
Media properties
- Themes
- Research and Tech Transfer , STI, Mechanical Engineering, Research and Tech Transfer, Energy
- Copyright
- EPFL - Alain Herzog
- Licence
- CC0 Licence
- Shooting date
- April 3, 2023
- Album
- Machine learning enables viability of vertical-axis wind turbines
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