Extrapolating Satellite Winds to Turbine Operating Heights

Type Article
Date 2016-04
Language English
Author(s) Badger Merete1, Pena Alfredo1, Hahmann Andrea N.1, Mouche AlexisORCID2, Hasager Charlotte B.3
Affiliation(s) 1 : Tech Univ Denmark, Dept Wind Energy, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
2 : IFREMER, LOS, Plouzane, France.
3 : Tech Univ Denmark, Dept Wind Energy, Roskilde, Denmark.
Source Journal Of Applied Meteorology And Climatology (1558-8424) (Amer Meteorological Soc), 2016-04 , Vol. 55 , N. 4 , P. 975-991
DOI 10.1175/JAMC-D-15-0197.1
WOS© Times Cited 16
Abstract Ocean wind retrievals from satellite sensors are typically performed for the standard level of 10 m. This restricts their full exploitation for wind energy planning, which requires wind information at much higher levels where wind turbines operate. A new method is presented for the vertical extrapolation of satellite-based wind maps. Winds near the sea surface are obtained from satellite data and used together with an adaptation of the Monin–Obukhov similarity theory to estimate the wind speed at higher levels. The thermal stratification of the atmosphere is taken into account through a long-term stability correction that is based on numerical weather prediction (NWP) model outputs. The effect of the long-term stability correction on the wind profile is significant. The method is applied to Envisat Advanced Synthetic Aperture Radar scenes acquired over the south Baltic Sea. This leads to maps of the long-term stability correction and wind speed at a height of 100 m with a spatial resolution of 0.02°. Calculations of the corresponding wind power density and Weibull parameters are shown. Comparisons with mast observations reveal that NWP model outputs can correct successfully for long-term stability effects and also, to some extent, for the limited number of satellite samples. The satellite-based and NWP-simulated wind profiles are almost equally accurate with respect to those from the mast. However, the satellite-based maps have a higher spatial resolution, which is particularly important in nearshore areas where most offshore wind farms are built.
Full Text
File Pages Size Access
Publisher's official version 17 2 MB Open access
Top of the page