Powering Europe - European Wind Energy Association
Powering Europe - European Wind Energy Association
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