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

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table 13.7: cORRelatiOn cOeFFicients<br />

Base case direct design Split design<br />

Base case F<strong>in</strong>al design Δ Base case F<strong>in</strong>al design Δ Base case<br />

All w<strong>in</strong>d / all hydro -0.29 -0.32 -0.03 -0.32 -0.03<br />

All w<strong>in</strong>d / all gas -0.05 -0.04 0.01 -0.05 0.01<br />

All w<strong>in</strong>d / all lignite coal -0.36 -0.30 0.06 -0.31 0.05<br />

All w<strong>in</strong>d / all hard coal -0.41 -0.39 0.02 -0.40 0.01<br />

All w<strong>in</strong>d / all “other<br />

renewable”<br />

-0.65 -0.64 0.01 -0.63 0.02<br />

All w<strong>in</strong>d / all nuclear 0.40 0.40 0.00 0.40 0.01<br />

All w<strong>in</strong>d / demand 0.29 0.28 -0.01 0.28 -0.01<br />

Due to the price level changes and the immediate impact<br />

on the benefits of already exist<strong>in</strong>g <strong>in</strong>frastructure<br />

a large number of iterations had to be carried out <strong>in</strong><br />

order to <strong>in</strong>dentify the most beneficial <strong>in</strong>terconnectors.<br />

Please note that the absolute price levels <strong>in</strong> the countries<br />

might <strong>in</strong>crease with further connections. Norway<br />

e.g. exhibits very low price levels <strong>in</strong> the Hub Base<br />

Case scenario 2030. If thus this low price electricity is<br />

sold to other countries the <strong>in</strong>ternal price level rises as<br />

higher priced generation capacity will have to be used.<br />

Please note that Table 13.5 and Table 13.6 only show<br />

price level differences and not absolute price levels.<br />

These price levels decrease <strong>in</strong> general, but also here<br />

<strong>in</strong>creas<strong>in</strong>g price level differences are possible.<br />

D.III.V Power system impact<br />

Balanc<strong>in</strong>g of w<strong>in</strong>d power variability<br />

The offshore grid leads to the spatial smooth<strong>in</strong>g of<br />

short term renewable energy variations and as such<br />

reduces the needs for balanc<strong>in</strong>g power <strong>in</strong> the system<br />

to a certa<strong>in</strong> extent. This paragraph illustrates how the<br />

balanc<strong>in</strong>g of variable w<strong>in</strong>d power is affected by the offshore<br />

grid, with a special focus on the hydro power <strong>in</strong><br />

Scand<strong>in</strong>avia.<br />

A priori, there are two compet<strong>in</strong>g hypotheses:<br />

• the offshore grid enables cheaper generation units<br />

farther away from demand centres to momentarily<br />

replace more expensive generation units <strong>in</strong>dependently<br />

of Scand<strong>in</strong>avian hydro capability,<br />

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

• the offshore grid improves the utilisation of<br />

Scand<strong>in</strong>avian hydro capability. At low price periods,<br />

Scand<strong>in</strong>avia will import cheaper power from the<br />

surround<strong>in</strong>g areas, and at high price periods, will<br />

export power. This makes more expensive generation<br />

units <strong>in</strong> the surround<strong>in</strong>g areas unnecessary.<br />

Although it was shown <strong>in</strong> section 4.5.6 that there is<br />

an overall shift from hard coal and gas towards the<br />

cheaper category “other renewables” it is not immediately<br />

clear when <strong>in</strong> time this shift occurs. For example,<br />

it could be a shift that is evident hour by hour (first<br />

hypothesis), or a shift that occurs <strong>in</strong>directly via hydro<br />

balanc<strong>in</strong>g (second hypothesis).<br />

Measur<strong>in</strong>g the balanc<strong>in</strong>g of w<strong>in</strong>d power can be done by<br />

evaluat<strong>in</strong>g the correlation coefficients between w<strong>in</strong>d<br />

power production and other power production. A generation<br />

type that balances w<strong>in</strong>d power has a negative<br />

correlation with w<strong>in</strong>d power. This means that it produces<br />

when there is low w<strong>in</strong>d generation and it stops<br />

production when w<strong>in</strong>d power is generated. Table 13.7<br />

shows correlation coefficients between total w<strong>in</strong>d production<br />

and total production of other generation types.<br />

For the assessment of grid <strong>in</strong>fluence on w<strong>in</strong>d power<br />

balanc<strong>in</strong>g, the <strong>in</strong>terest<strong>in</strong>g <strong>in</strong>formation <strong>in</strong> Table 13.7 is<br />

the change <strong>in</strong> correlation coefficients relative to the<br />

base case.<br />

Both the direct and split grid designs have an <strong>in</strong>creased<br />

anti-correlation between w<strong>in</strong>d and hydro<br />

compared to the base case. This is <strong>in</strong>terpreted as an<br />

<strong>in</strong>creased balanc<strong>in</strong>g of w<strong>in</strong>d by the hydro systems. For<br />

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