Abstract (EN):
The short-term power prediction of two wind farms, located on mountainous terrain in Portugal, was accomplished with a physical methodology. Weather forecasts from numerical mesoscale simulations were used as input to a transfer function of wind velocity conditions, generated from a set of CFD simulations. The results were compared with one year of measurements of wind power output and wind velocity from measurement masts, yielding an agreement with 17% of mean absolute error.
Language:
English
Type (Professor's evaluation):
Scientific