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