Across the world, wind power is growing fast—but not fast enough. To meet climate goals and reach carbon neutrality, the United Nations says global wind energy must triple in the next ten years.

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 ...

Wind Engineering, Vol. 45, No. 5 (October 2021), pp. 1206-1221 (16 pages) In this paper, a theory and practice-based research is conducted using real data, in order to increase the efficiency of a ...

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% ...