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Powering Europe - European Wind Energy Association

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annex<br />

fiGURE 19: lonG-tERM MaRGinal Costs foR Coal-fiRED anD Gas-fiRED Plants in GERMany 2020<br />

166<br />

€/MWh<br />

70,0<br />

60,0<br />

50,0<br />

40,0<br />

30,0<br />

20,0<br />

10,0<br />

0,0<br />

Natural Gas<br />

to prices). The demand data input above is given exogenously.<br />

The model then calculates the actual demand<br />

in accordance with specified income and price<br />

elasticity 19 .<br />

Investments<br />

In both scenarios, wind and other renewable capacities<br />

are fixed, as described on page 142. But the Classic<br />

Carbon model contains a module that generates<br />

investments in electricity capacity based on the gap<br />

between supply and demand.<br />

Hence, if the exogenous given capacity development is<br />

not sufficient to meet power demand, the model would<br />

determine the additional investments needed endogenously.<br />

The general logic behind endogenous investment<br />

decisions is that if the price of electricity exceeds<br />

the long-term marginal cost of the least expensive conventional<br />

technology, there will be investment in this<br />

technology. The overall costs of each technology depend<br />

on the technology’s capital costs, fuel costs, efficiency,<br />

CO2 costs, fuel transport costs and other variable<br />

Generation volumes<br />

Coal<br />

Capital cost<br />

Fixed O&M<br />

Non fuel variable cost<br />

Fuel and transport cost<br />

CO2-price<br />

and fixed costs. Investments are, subject to restrictions,<br />

usually made in coal-fired or gas-fired capacity.<br />

However, conventional investments are restricted in<br />

two main aspects. First, the model restricts endogenous<br />

investments in nuclear, as developments in<br />

these technologies tend to be influenced to a large degree<br />

by politics. Second, the potential investment levels<br />

and investment technologies are capped for each<br />

country according to the existing capacity profile so<br />

that the model cannot define unlimited investments in<br />

only one technology.<br />

Figure 19 compares the assumed long-run marginal<br />

costs for new CCGT and new coal-fired capacity for Germany<br />

in 2020. The figure is based on the assumption<br />

that a CCGT unit is run with an availability of 85% whereas<br />

a coal condensing unit is run with a slightly higher<br />

availability, 90%. 20 With the applied assumptions, coal<br />

is the least-costly technology in 2020. As fuel transportation<br />

cost is the only component that varies between<br />

the countries, it can be deduced that most capacity investments<br />

in Western <strong>Europe</strong> generated by Classic are<br />

in coal capacity, given the fuel and CO2 prices that the<br />

19 price elasticities are an expression for a percentage change in demand following a percentage change in price. For example, if<br />

demand drops by 0.5% following a 1% price increase, the price elasticity equals 0.5. The elasticity is therefore a measure for how<br />

flexible (or sensitive) the demand is with respect to price changes.<br />

20 The availability of a condensing unit in the classic model is a model result and could thus deviate from the assumptions in above figure.<br />

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

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