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13 Turbulence measurements by wind<br />
lidars<br />
Ameya Sathe<br />
<strong>DTU</strong> Wind Energy, Risø Campus, Roskilde, Denmark<br />
13.1 Introduction<br />
It is now well established that wind lidars (henceforth referred to as lidars) measure the 10min<br />
mean wind speed with acceptable accuracy. Several measurement campaigns have been<br />
carried out in this regard, where cup anemometers are used as reference instruments (Smith<br />
et al., 2006; Kindler et al., 2007; Peña et al., 2009). Turbulence measurements using lidars<br />
is still a subject of research, and an acceptable method is yet to be established. At first it is<br />
important to understand which turbulence measurements we refer to in this chapter. They<br />
are the second-order moments of wind speeds. It is then interesting to know why turbulence<br />
measurements are useful for wind energy. Amongst a whole range of applications, we can list<br />
a few, such as,<br />
• Load calculations of wind turbines - The driving loads causing fatigue of wind turbines is<br />
atmospheric turbulence. Currently, the three dimensional spectral tensor model of Mann<br />
(1994) is used to quantify turbulence. Expressions of turbulence spectra from Kaimal<br />
et al. (1972) are also used in load calculations. These theoretical and empirical models<br />
are obtained for neutral and homogeneous conditions. Wind turbines operate under all<br />
terrain types and atmospheric conditions. Hence, the best input of turbulence for load<br />
calculations is by directly measuring it at the site where wind turbines will operate.<br />
• Powercurve measurements - The powercurve of a wind turbine is sensitive to turbulence<br />
intensity, especially in the region around the rated wind speed. Turbulence measurements<br />
will enable accurate power curve measurements that are vital for a wind farm developer.<br />
• Validation of wind profile models - In recent years with the increase in the size of the<br />
wind turbines, wind profile models that extend in the entire boundary layer are developed<br />
(Gryning et al., 2007; Peña et al., 2010a). These models are based on the assumption<br />
that momentum flux changes linearly with height. If we are able to measure turbulence<br />
at several heights, we can verify these assumptions. Alternatively, empirical relations of<br />
the variation of momentum flux with height can also be derived.<br />
The next interesting question is what is the current standard for the measurement of turbulence<br />
in wind energy. The answer is the sonic anemometer. They are compact instruments<br />
that can measure all three components of wind velocity in relatively small sample volume<br />
that for all practical purposes can be considered a point. They need to be mounted on a<br />
meteorological mast (met-mast), such that the flow distortion due to the mast itself is kept<br />
to a minimum. Despite this there are disadvantages of using sonic anemometers in turbulence<br />
measurements, the most important being that tall met-masts are very expensive, and<br />
offshore, the costs increase significantly. We thus have to look for alternatives. Remote sensing<br />
methods such as sodars and lidars are viable alternatives, but they are still a subject of<br />
research for turbulence measurements. In this chapter we restrict the discussion to turbulence<br />
measurements using lidars only.<br />
Although lidars have been introduced in wind energy recently, for meteorology they have<br />
been investigated previously to measure turbulence using different scanning techniques. A<br />
common technique is by conical scanning and using the velocity azimuth display (VAD)<br />
technique of processing the data. One of the first remote sensing (Doppler radar) turbulence<br />
studies using a full 360 ◦ scan in a horizontal plane was carried out by Browning and<br />
242 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)