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44 E. Bibor and C. Masson<br />

was established. Treatment of data required important cares during the different<br />

steps: determination of valid sectors and filtration of the data. Nacelle<br />

anemometry’s correlation Vnac ⇔ V∞ was then calculated by synchronizing<br />

the data from the WT and the reference tower.<br />

8.4 Numerical Analysis<br />

A numerical analysis as been performed with the objective of having a better<br />

understanding of nacelle anemometry. In order to be as realistic as possible, a<br />

turbulent flow was simulated. For that purpose, the Reynolds-Average Navier-<br />

Stokes (RANS) equations were solved. The k − ɛ turbulence model was used<br />

to close the system of equations. The rotor is represented as an actuator-disc<br />

surface [2], on which external forces are prescribed according to the bladeelement-theory.<br />

The commercial software FLUENT was chosen to perform this numerical<br />

analysis. The rotor can be modelled by a pressure jump calculated from<br />

the forces found previously. Also, a two-dimensional axisymmetric flow was<br />

studied in order to benefit from the symmetrical geometry of the nacelle. The<br />

size of the calculation domain was optimized so that the results were not influenced<br />

by the boundary conditions, but also that the computing time was<br />

optimum.<br />

8.5 Results and Analysis<br />

8.5.1 Comparaison with the Manufacturer<br />

As explained in Sect. 8.3, a nacelle anemometry correlation Vnac ⇔ V∞ was<br />

experimentally obtained: V∞ =0.953 + 0.791 Vnac. The latter was compared<br />

with the correlation provided by the manufacturer: V∞ =0.536 + 0.723 Vnac.<br />

For Vnac = 20 m/s, differences up to 1.59 m/s were measured. In order to<br />

determine the validity of those results, power curves were constructed using<br />

the two correlations. The use of the manufacturer’s correlation leads to unrealistic<br />

results, with power coefficients (CP) higher than the theoretical limit<br />

of 0.475 for this WT. These results confirm the inappropriateness in using a<br />

common correlation for all WTs of the same type, with no consideration of<br />

the type of terrain.<br />

8.5.2 Influence on the <strong>Wind</strong> Turbine Control<br />

The errors made in the estimation of V∞ have important consequences on<br />

the performances of the WT. Indeed, the active control WT continuously<br />

modifies his rotational speed in order to operate at the optimum tip speed<br />

ratio λopti =7.2. An error in V∞ will automatically lead to an error in λ<br />

calculated by the controller. Thus, the WT will always operate at CPs lower<br />

than CP,max.

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