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Klim, Denmark Case study. - EMD

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<strong>Klim</strong>, <strong>Denmark</strong>, CASE - 01<br />

If we turn the visualisation of the rows, and look at the northwestern 4 WTGs as row<br />

1 etc. the pattern look so.<br />

100<br />

95<br />

90<br />

PARK efficiency (%)<br />

85<br />

80<br />

75<br />

Actual Park efficiency based on assumed PARK efficiency.: 88%<br />

Calculated yield, WDC 0.075 Ct-V44<br />

Calculated yield, WDC 0.075, Ct-V52<br />

1 2 3 4 5 6 7 8 9 10<br />

70<br />

10 20 30 35 9 19 29 34 8 18 28 33 7 17 27 32 6 16 26 31 5 15 25 4 14 24 3 13 23 2 12 22 1 11 21<br />

WTG number<br />

Figure 15 Here it is even clearer, that the back rows (assumed prevailing West-northwest wind)<br />

follow the most reducing Ct curve very well. Comparing to the below shown comparison by<br />

calculating with different WDC, we have to admit that adjusting the Ct value to a more reducing<br />

value gives a better match to actual production for the 5 eastern rows that adjusting the WDC.<br />

So all in all, a combination of adjustments on WDC and Ct might give better match<br />

between actual and calculated values for the individual WTGs. But we still believe,<br />

that it is the calculation model, which has to be adjusted.<br />

Additionally analyses – Windfarmer Eddy Viscosity wake model<br />

comparison<br />

Finally, we have got a calculation using the Windfarmer tool from Garrad Hassan,<br />

which can operate with more different models, where the “Eddy Viscosity” model is<br />

said to be more precise. This we have tested on the <strong>Klim</strong> case with the 1998 data<br />

selection.<br />

Energi- og Miljødata, Niels Jernesvej 10, DK-9220 Aalborg O – Tel: +45 9635 4444, Fax: +45 9635 4446, Mail:<br />

emd@emd.dk, Web: www.emd.dk - 14 -

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