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FiGuRe 13.6: vOn-bRemen-map shOw<strong>in</strong>G spatial cORRelatiOn between lOcal w<strong>in</strong>d pOweR time seRies and the simulated<br />

tOtal eu OFFshORe w<strong>in</strong>d pOweR (leFt) OR OnshORe w<strong>in</strong>d pOweR (RiGht), Full yeaR 2007<br />

between North and South (e.g. Denmark vs. France).<br />

Besides the fact that the ma<strong>in</strong> w<strong>in</strong>d direction is from<br />

West to East, especially the low pressure weather<br />

systems with strong w<strong>in</strong>d speeds also move ma<strong>in</strong>ly<br />

from West to East. This leads to a correlation between<br />

England and Germany of about 0.50, <strong>in</strong> contrast to<br />

only 0.18 between France and Germany.<br />

Figure 13.6 shows the correlation of the local w<strong>in</strong>d<br />

power time series with either the simulated offshore<br />

w<strong>in</strong>d power (figure to the left) or onshore w<strong>in</strong>d power<br />

(figure to the right) <strong>in</strong> Northern <strong>Europe</strong>, as assumed<br />

<strong>in</strong> the 2030 scenario of offshore grid. It reflects that<br />

most of the offshore capacities <strong>in</strong> the 2030 scenario<br />

<strong>Offshore</strong>Grid – F<strong>in</strong>al Report<br />

are concentrated <strong>in</strong> the Southern North Sea. In contrast<br />

to this, the onshore w<strong>in</strong>d power <strong>in</strong> the scenario is<br />

more or less evenly distributed over Northern <strong>Europe</strong>.<br />

In total, w<strong>in</strong>d energy is clearly concentrated <strong>in</strong> the<br />

North. This concentration will pose considerable<br />

challenges regard<strong>in</strong>g the power flows <strong>in</strong> the future<br />

<strong>Europe</strong>an electricity grid.<br />

To conclude, the analysis shows that grid <strong>in</strong>terconnections<br />

between regions of low weather correlation can<br />

significantly reduce the variability of <strong>Europe</strong>an w<strong>in</strong>d<br />

power production. The North-South direction is the<br />

most <strong>in</strong>terest<strong>in</strong>g from correlation po<strong>in</strong>t of view.<br />

table 13.1: cORRelatiOn cOeFFicients between cOuntRies us<strong>in</strong>G simulated w<strong>in</strong>d pOweR time seRies FOR the<br />

OFFshOReGRid 2030 w<strong>in</strong>d pOweR scenaRiO (On- & OFFshORe w<strong>in</strong>d tOGetheR)<br />

Be dK et Fi Fr de UK ir lA lt nl no Pl rU Se<br />

Be 100% 45% 12% 2% 59% 67% 66% 37% 20% 21% 79% 12% 28% 20% 22%<br />

dK 45% 100% 32% 17% 32% 76% 49% 20% 44% 48% 77% 44% 78% 48% 73%<br />

et 12% 32% 100% 51% 10% 18% 16% 12% 66% 66% 22% 13% 36% 45% 69%<br />

Fi 2% 17% 51% 100% 2% 6% 7% 4% 30% 34% 10% 23% 16% 19% 49%<br />

Fr 59% 32% 10% 2% 100% 37% 49% 43% 16% 18% 46% 5% 23% 17% 20%<br />

de 67% 76% 18% 6% 37% 100% 67% 26% 28% 30% 87% 40% 53% 32% 43%<br />

UK 66% 49% 16% 7% 49% 67% 100% 62% 20% 21% 74% 37% 29% 21% 27%<br />

ir 37% 20% 12% 4% 43% 26% 62% 100% 13% 14% 33% 14% 15% 13% 13%<br />

lA 20% 44% 66% 30% 16% 28% 20% 13% 100% 89% 32% 15% 55% 74% 69%<br />

lt 21% 48% 66% 34% 18% 30% 21% 14% 89% 100% 34% 17% 61% 88% 72%<br />

nl 79% 77% 22% 10% 46% 87% 74% 33% 32% 34% 100% 36% 50% 34% 49%<br />

no 12% 44% 13% 23% 5% 40% 37% 14% 15% 17% 36% 100% 24% 16% 30%<br />

Pl 28% 78% 36% 16% 23% 53% 29% 15% 55% 61% 50% 24% 100% 65% 73%<br />

rU 20% 48% 45% 19% 17% 32% 21% 13% 74% 88% 34% 16% 65% 100% 59%<br />

Se 22% 73% 69% 49% 20% 43% 27% 13% 69% 72% 49% 30% 73% 59% 100%<br />

131<br />

–1<br />

–0.9<br />

–0.8<br />

–0.7<br />

–0.6<br />

–0.5<br />

–0.4<br />

–0.3<br />

–0.2<br />

–0.1<br />

–0

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