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Powering Europe - European Wind Energy Association

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annex<br />

The Classic Carbon model is an advanced model simulation<br />

tool for the analysis of the power and carbon<br />

market. The model is a combination of a bottom-up<br />

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

and demand functions in the power and carbon<br />

market. It is an extension of Pöyry’s power market<br />

model, CLASSIC.<br />

As the name suggests, CLASSIC is Pöyry’s first and<br />

oldest power market model. It has been expanded and<br />

developed over a period of more than 15 years, and<br />

has grown with the market. It is designed to model<br />

the long-term market developments, including power<br />

prices, demand, generation, investments, trade and<br />

CO2 emissions. CLASSIC models the whole <strong>Europe</strong>an<br />

power market (EU 25 + Norway and Switzerland), and<br />

has been used to analyse developments in the <strong>Europe</strong>an<br />

power market, in particular price developments,<br />

demand developments, investments in different types<br />

of power generation, and trade between regions.<br />

CLASSIC combines an advanced simulation algorithm<br />

for the <strong>Europe</strong>an power market with speed and userfriendliness.<br />

CLASSIC’s user interface is Excel, where<br />

both the input data and the results from the simulation<br />

are presented in a menu-based format where users<br />

can easily enter and extract the information they<br />

require, and analyse them in the form of tables and/<br />

or graphs.<br />

The mathematical programming components of CLAS-<br />

SIC are implemented in The General Algebraic Modelling<br />

System GAMS, with CLASSIC’s Excel interface<br />

controlling all the aspects of the communication and<br />

running of the GAMS components. Thus the use of<br />

CLASSIC requires only a standard knowledge of Excel,<br />

and the user does not need to have any knowledge of<br />

GAMS or mathematical programming.<br />

Technical features of CLASSIC<br />

geographicalscope<br />

In the standard version of CLASSIC, all <strong>Europe</strong>an countries<br />

(EU 27 + Norway and Switzerland) are modelled<br />

168<br />

simultaneously. Denmark is further split into two regions,<br />

Jutland and Zealand. Small countries (for example<br />

Cyprus, Malta) and some countries in Eastern <strong>Europe</strong><br />

may be excluded. It is easy to expand or reduce<br />

the number of countries in the model. 22<br />

timestructure<br />

Simulations in CLASSIC are run on a two-level time<br />

resolution. The simulation period is divided up into<br />

one or more time periods, such as quarters, months<br />

or weeks. Each period is then divided up into up to<br />

five load blocks. The load blocks represent the varying<br />

load levels experienced in each period and generally<br />

correspond to times of the day, such as night,<br />

weekend day, evening, day-time peak, etc. Unlike the<br />

periods, the load blocks are not sequential (that is,<br />

load block 2 does not follow load block 1 in time for<br />

example).<br />

Both the period and load-block resolution are userdefinable.<br />

The user simply specifies the length of<br />

each period (which can be of unequal length), and the<br />

hours in a typical week that are mapped to each load<br />

block, and ensures the data corresponds to these<br />

definitions.<br />

Supply<br />

The model includes relevant data for existing generation<br />

technologies and fuel and other operational costs.<br />

Conventional thermal capacity is called into production<br />

whenever market prices cover marginal bids.<br />

Rather than model each individual plant within a given<br />

region, CLASSIC specifies the generation set at the<br />

plant type level of detail. Each plant type has several<br />

general technical properties (such as costs) that are<br />

constant, and other technical properties (such as capacities<br />

and efficiencies) that differ by country. The<br />

plant type approach has been adopted for the following<br />

reasons:<br />

In general there is insufficient data to model all plants<br />

at the same level of detail and data accuracy.<br />

22 The model also uses an external “region” to enable the modeling of electricity trade into and out of the <strong>Europe</strong>an region (for example<br />

trade between russia and Finland). The data set for this external region consists of cross border transmission capacities to and from the<br />

external region, fixed transmission flows to and from the external region, and/or user defined electricity prices for the external region that<br />

is used when determining price-based trade flows with the external region.<br />

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

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