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Powering Europe - European Wind Energy Association

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methodology<br />

4.2 Modelling<br />

Modelling tool<br />

In order to carry out the modelling analysis, Pöyry applied<br />

its modelling tool “The Classic Carbon Model”<br />

(see Annex). It includes a fully fledged model of the<br />

<strong>Europe</strong>an power market. The Classic Carbon model<br />

is an advanced simulation tool for analysing interaction<br />

between the power and carbon market. It is<br />

a general equilibrium model that assumes perfectly<br />

competitive markets. It is a combination of a bottom-up<br />

and top-down model, capturing the fundamental<br />

supply and demand functions in the power<br />

and carbon market. In mathematical terms, the model<br />

maximises total welfare with a number of basic<br />

constraints. Such constraints are, for example, that<br />

power demand has to equal supply at all times, and<br />

then there are transmission constraints, CHP generation<br />

profiles, CO2 emission reduction targets and so<br />

on. According to economic theory, the outcome from<br />

welfare maximisation is equivalent to the outcome<br />

in a perfectly competitive market in which producers<br />

maximise profits and consumers maximise utility. 8<br />

Although it is based on the assumption of perfectly<br />

competitive markets, Classic Carbon is also able<br />

to capture the effects of market power by adjusting<br />

data parameters for market power.<br />

The Classic Carbon model and hence the modelling<br />

analysis cover the <strong>Europe</strong>an power and carbon market<br />

– that is, the EU-27 countries plus Norway and<br />

Switzerland.<br />

Concerning the carbon market, the model finds equilibrium<br />

between supply and demand of allowances<br />

in the EU Emissions Trading System (ETS) market<br />

for the whole trading period and equilibrium between<br />

supply and demand of power in each country simultaneously.<br />

In the model, emissions from power generation,<br />

heat generation and production in ETS industries<br />

are “matched” with the cap. That is, the total<br />

emissions from these sectors must be lower than or<br />

142<br />

equal to the total amount of allowances. The model<br />

also allows for imports of non-<strong>Europe</strong>an credits<br />

from the Kyoto-based project mechanisms. Imports<br />

are restricted by a volume cap in accordance with EU<br />

regulations, and are estimated externally in regard to<br />

price differences compared with EUA price levels.<br />

The Classic Carbon model is designed to model<br />

long-run market fundamentals, and captures the impact<br />

of power demand developments, interconnector<br />

capacities, fuel developments, energy policies,<br />

emission levels and so on.<br />

In addition to the power market, the model includes<br />

the heating sector and the industrial ETS sectors.<br />

It simultaneously finds a balance between supply<br />

and demand in the power market and a balance in<br />

the EU ETS market. Model results include wholesale<br />

and end-user prices for each market area, trade<br />

flows, generation, demand, fuel use, CO2 emissions<br />

and the carbon (EUA) price. A more detailed description<br />

of the model can be found in the Annex.<br />

Modelling approach<br />

In the following modelling analysis, Pöyry applied its<br />

Classic Carbon model to estimate the long-term effects<br />

of power capacities in 2020 on the merit order<br />

curve through increased wind power capacities<br />

which change the use and profitability in traditional<br />

base load capacity. Hence, the Classic Carbon<br />

model simulated how long-term market equilibrium<br />

may be affected by the impact of large-scale wind<br />

investments on conventional power technology investments<br />

(based on short-run marginal costs and<br />

fixed investment costs). These impacts have been<br />

indicated by the model through the average market<br />

price levels in 2020 at a national level (for all EU-<br />

27 countries) as well as at a <strong>Europe</strong>an level. The<br />

relative price differences between the two scenarios<br />

indicated the merit order effect of increased wind<br />

power in electricity production.<br />

8 compare, for example, Varian (1992), Microeconomic Analysis, third edition, Norton, New York. This is one of the main arguments for<br />

competitive markets.<br />

<strong>Powering</strong> <strong>Europe</strong>: wind energy and the electricity grid

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