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of the rotor effective wind speed v0(t) is a weighted average over all available vi available<br />

during time t (Figure 114(right)). That means that the five focus distances are shifted to one<br />

single distance. This shift can be done by the use of Taylor’s frozen turbulence hypothesis<br />

which is valid for horizontally Lidar measurements (Schlipf et al., 2010).<br />

Figure 114: Circle trajectory used for the CART-2 campaign (left) and schematic drawing of<br />

the incoming wind field measured by a lidar at different focus distances (right).<br />

In (Figure 115(left)) three different wind speeds are shown in a 10-min time series: one is<br />

measured by the anemometer on the met mast vM, the other one shows the rotor effective<br />

wind speed v0L measured with the Lidar. The third wind speed is recalculated from the<br />

turbine data as e.g. the pitch angle, rotor speed and power output data. Here the turbine<br />

represents a big horizontal axes anemometer with a rotor effective wind speed v0. It is visible<br />

that the turbine’s wind speed corresponds much better to the rotor effective wind speed of<br />

the Lidar than to the anemometer on the met mast.In a further step, the power production<br />

of the CART-2 turbine was simulated with FAST. As input for the wind two different data<br />

sets were used: the real met mast data and the rotor effective wind speed measured with<br />

the Lidar. In (Figure 115(right)) the result of the simulated power output is shown together<br />

with the real electrical power from the turbine. As one can see, the simulation with the rotor<br />

effective wind speed corresponds very well with the real data (Rettenmeier et al., 2012b).<br />

Figure 115: Time series of the rotor effective wind speed from Lidar and turbine and of the<br />

anemometer mounted on a mast (left) and simulation of the power production with met mast<br />

and Lidar data in comparison with the real production data. (right).<br />

8.9 Outlook & Conclusions<br />

The use of a lidar system from the nacelle offers various applications in wake wind field<br />

analysis, wind turbine control, power curve determination and load estimation. The whole<br />

swept rotor area can be taken into account, but assumptions have to be made. Nacelle-based<br />

measurement methods show a great potential on- and offshore and even in complex terrain.<br />

But there are still some investigations that have to be done concerning turbulence, vertical<br />

and horizontal shear, comparison criteria and equivalent wind speed.<br />

168 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)

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