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Offshore Electricity Infrastructure in Europe - European Wind Energy ...

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Annex d – details of results<br />

FiGuRe 13.7: m<strong>in</strong>imum beneFicial distance FROm the w<strong>in</strong>d FaRm tO shORe FOR diFFeRent <strong>in</strong>teRcOnnectOR capacities [km].<br />

(aveRaGe absOlute pRice diFFeRence OF €7.5, distance wF tO <strong>in</strong>teRcOnnectOR OF 40km, unbalanced FlOw with 30% OF<br />

pRice diFFeRence FlOw<strong>in</strong>G tOwaRds One cOuntRy)<br />

M<strong>in</strong>imum distance<br />

WF to shore (km)<br />

1,500<br />

1,200<br />

900<br />

600<br />

300<br />

0<br />

100<br />

200<br />

Area A Area B<br />

Area C<br />

300<br />

Spatial correlations of w<strong>in</strong>d power<br />

production between countries<br />

With the simulated w<strong>in</strong>d power time series, also the<br />

spatial correlations between <strong>in</strong>dividual countries<br />

have been <strong>in</strong>vestigated. The results are shown <strong>in</strong><br />

Table 13.1, which confirms the f<strong>in</strong>d<strong>in</strong>gs expla<strong>in</strong>ed<br />

above. These figures can be used <strong>in</strong> the prelim<strong>in</strong>ary<br />

assessment of new <strong>in</strong>terconnectors that are meant for<br />

trad<strong>in</strong>g w<strong>in</strong>d power.<br />

D.II Case-<strong>in</strong>dependent model –<br />

sensitivity analysis<br />

400<br />

The case-<strong>in</strong>dependent model was built <strong>in</strong> order to<br />

carry out pre-analysis of beneficial cases of hub-tohub<br />

connections and tee-<strong>in</strong> connections. Furthermore<br />

the results of case-<strong>in</strong>dependent model can serve as<br />

quick guidel<strong>in</strong>es for the modular offshore grid development<br />

and can give <strong>in</strong>sight to policy decision makers,<br />

stakeholders, TSOs and <strong>in</strong>terconnector and w<strong>in</strong>d farm<br />

developers.<br />

The case-<strong>in</strong>dependent model analyses the benefits of<br />

a project compared to the conventional solution. The<br />

model takes <strong>in</strong>to account a variety of parameters that<br />

<strong>in</strong>fluence the results. If the parameters of the project<br />

500<br />

600<br />

700<br />

800<br />

900<br />

1000<br />

W<strong>in</strong>d farm capacity (MW)<br />

1,500 MW <strong>in</strong>terconnector 1,000 MW <strong>in</strong>terconnector 500 MW <strong>in</strong>terconnector<br />

are known, the reader can position his project with<strong>in</strong><br />

the field of parameters and read the economic viability<br />

of the project from the results given.<br />

The model is expla<strong>in</strong>ed below but the detailed results<br />

are available on www.offshoregrid.eu due to the large<br />

amount of data.<br />

D.II.I Sensitivity analysis on the<br />

benefit of tee-<strong>in</strong> solutions<br />

Impact of <strong>in</strong>terconnector capacity<br />

The impact of the <strong>in</strong>terconnector capacity on the<br />

break-even distance is different for different w<strong>in</strong>d farm<br />

capacities. These can be divided <strong>in</strong> three areas, as<br />

can be seen <strong>in</strong> Figure 13.7:<br />

• Area A: W<strong>in</strong>d farm capacities up to the <strong>in</strong>terconnector<br />

capacity of 500 MW.<br />

For w<strong>in</strong>d farms with a small capacity, the break-even<br />

distances are equal for every <strong>in</strong>terconnector capacity.<br />

The part of the <strong>in</strong>terconnection capacity which is<br />

higher than the w<strong>in</strong>d farm capacity is unconstra<strong>in</strong>ed<br />

<strong>in</strong> both the conventional solution as the tee-<strong>in</strong> solution.<br />

It does therefore not lead to a difference <strong>in</strong> the<br />

m<strong>in</strong>imum beneficial distance.<br />

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

1100<br />

1200<br />

1300<br />

1400<br />

1500<br />

1600<br />

1700<br />

1800<br />

1900<br />

2000

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