Page 170 - Fluid Power Engineering
P. 170
W ind Resource Assessment 143
Wind veer in sector 0°
150
100
Wind Veer [deg] -50 0
50
-100
-150
0 2 4 6 8 10 12 14 16 18 20 22
Wind Speed at reference site [m/s]
Measurements Model: Mean
Model: Mean + 1 × StdDev Model: Mean − 1 × StdDev
(a)
Wind veer in sector 30°
150
100
Wind Veer [deg] -50 0
50
-100
-150
0 2 4 6 8 10 12 14 16 18 20 22
Wind Speed at reference site [m/s]
Measurements Model: Mean
Model: Mean + 1 × StdDev Model: Mean − 1 × StdDev
(b)
FIGURE 7-13a and b Matrix method computes mean and standard deviation of
wind veer.
corresponding predicted time series.
ε i = YM i − f (X i ) (7-9)
where i is the index of the measured time intervals, ε i is the wind
speed residual, YM i is the measured time series, X i is the concur-
rent long-term time series, and f (X i ) is the predicted time series. The
distribution of ε should be a Gaussian distribution with mean zero
