EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...
Vertical-axis wind turbines are great candidates to enable wind power extraction in urban and off-shore applications. Currently, concerns around turbine efficiency and structural integrity limit their ...
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 ...
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