Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6767129 | Renewable Energy | 2015 | 14 Pages |
Abstract
Good scores were returned both in wind speed and power density extrapolations, with biases within 7 and 8%, respectively. Wind speed extrapolation was better predicted 10-40 m (NRMSE = 0.16, r = 0.95) than 10-80 and 20-80 m (NRMSE = 0.20-0.24, r = 0.86-0.91), while for power density even finer scores than wind speed were achieved (r = 0.98 at 40 m, and r = 0.96 at 80 m). Method's skills were also assessed in predicting wind energy yield. Application over sites with different terrain features and stability conditions is expected to provide further insight into its application field.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Giovanni Gualtieri,