ドップラーライダーによる長期間の風速及び乱流計測の評価

抄録

This work compares long-term measurements of wind data by a profiling Lidar against those obtained from towermounted sonic anemometer. The Lidar-measured wind speeds show good agreement with those measured using the sonic anemometer, with the slope of regression line being 1.0 and R² > 0.99. Comparison of the turbulence intensity obtained from the 90th percentile of the standard deviation distribution shows that the Lidar-measured turbulence intensities are mostly larger (by 2% or less) than those measured by the sonic anemometer. The PDF values of peak wind speed (V^) show that when V^ is larger than 9 m/s, the PDFs are almost the same for both devices. Finally, the wind speed distributions are used to compute power distributions for the NREL 5-MW reference wind turbine. The difference in the occurrence frequency between the sonic anemometer and Lidar measurements for all power production bins is less than 1%. Therefore, the study shows that profiling Lidars can be employed in wind energy applications, as they can measure wind resource with acceptable accuracy.