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Powering Europe - European Wind Energy Association

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uncertainties. Moreover, results should not be directly<br />

compared to recent literature, which usually estimate<br />

the short-term price effects of wind power. Here the<br />

market is not always in equilibrium and actual price<br />

differences and the merit order effect might therefore<br />

be very different.<br />

Moreover, the study estimates the volume merit order<br />

effect referring to the total savings brought about due<br />

to wind power penetration during a particular year. Assuming<br />

that the entire power demand is purchased at<br />

the marginal cost of production, the overall volume of<br />

the MOE has been calculated at €41.7 billion/year.<br />

But this should not be seen as a purely socio-economic<br />

benefit. A certain volume of this is redistributed<br />

from producer to consumer because decreased prices<br />

mean less income for power producers. Currently, only<br />

the long-term marginal generation which is replaced<br />

by wind has a real economic benefit, and this should<br />

be contrasted to the public support for extended wind<br />

power generation.<br />

The scenarios were developed so that the modelling<br />

analysis could show the effect of the additional wind<br />

capacities on future power prices. For this reason,<br />

the main difference between the two scenarios is the<br />

amount of wind capacity. All other renewable sources<br />

and capacities have been kept at 2008 levels in both<br />

scenarios. Hence, there is no future capacity increase<br />

assumed for bio-energy, solar or geothermal energy resources.<br />

This, however, does not reflect a very realistic<br />

market development. A higher renewable share<br />

would influence the abatement costs to reach the defined<br />

CO2 emissions cap. Indirectly, this would also<br />

influence investment decisions in conventional fossilbased<br />

technologies, especially in the Reference scenarios.<br />

However, it is difficult to estimate the outcome<br />

on the merit order effect. Lower emission levels and<br />

hence lower carbon prices might also lead to coal power<br />

becoming more cost-efficient. This might counteract<br />

chApTEr 6 themeritordereffectoflarge-scalewindintegration<br />

the effect of renewables on emissions. It is therefore<br />

recommended that these impacts be studied in a<br />

more thorough sensitivity analysis with the help of a<br />

quantifying modelling tool.<br />

The sensitivity analysis resulted in an increase of the<br />

merit order effect by €1.9 /MWh when fossil fuel prices<br />

(gas, coal and oil) are increased by 25%. In the<br />

High fuel price case, wind power makes the power<br />

price drop from €87.7/MWh in the Reference scenario<br />

to €75/MWh in the <strong>Wind</strong> scenario. Comparing the<br />

resulting merit order effect in the High fuel case of<br />

€12.7/MWh to the Base case results of €10.8/MWh,<br />

the 25% higher fuel price case gives a merit order effect<br />

that is 17.5% higher.<br />

The study showed that fuel prices have a major influence<br />

on power prices and marginal cost levels. The<br />

merit order effect has been mostly explained by the<br />

difference in the technology capacity and generation<br />

mix in the various scenarios, especially the differences<br />

in the development and utilisation of coal and gas<br />

power technologies. Investigating fuel price differences<br />

is therefore highly relevant. However, even stronger<br />

impacts on the merit order effect might be observed<br />

by changing the relative price differences of gas and<br />

coal price levels.<br />

The study proved that carbon market assumptions<br />

and especially the resulting carbon price level will be<br />

a very important variable for the future power market<br />

and its price levels. Regarding the sensitivity of the assumed<br />

GHG emissions reduction target, the analysis<br />

illustrated higher equilibrium prices for the 30% reduction<br />

case than for the 20% reduction base case.<br />

However, the results of the sensitivity analysis do very<br />

much depend on the assumptions for future abatement<br />

potential and costs in all EU ETS sectors, as well<br />

as in the industrial sectors.<br />

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