![Show Menu](styles/mobile-menu.png)
![Page Background](./../common/page-substrates/page0071.jpg)
Ten-Year Network Development Plan 2017 Main Report |
71
Within the scenario storylines, there is a clear distinction between coal and gas merit
orders, with gas before coal on a regulatory basis in the Blue Transition and Green
scenarios. Due to the fuel and CO ² prices used in the ENTSO-E TYNDP 2016, this
merit order may not have been reflected within the modelling. As a result ENTSOG
has applied a methodology, the thermal gap approach, to help TSO’s use the data
from ENTSO-E to determine the gas demand required for power generation (see
Annex C4 for more details about this methodology).
The implementation of this methodology requires a significant number of assump-
tions, including electricity generation from alternative sources, the electricity
exchange with neighbouring countries, assumptions regarding the usage of CHP
(those facilities earn their money in both the heat and the electricity market) and
limitations in the utilisation of coal and gas. These assumptions are based on the
actual electricity mix, along with feedback from stakeholders and inputs from TSOs,
reflecting the specific factors for each country.
0
1,600
1,400
1,200
1,000
800
600
400
200
GW
2015
2030 Vision 1
2030 Vision 3
2030 Vision 4
Nuclear
Wind
Coal
Gas
Others – RES
Hydro – pump
Biofuel
Others – Non RES
Hydro
Solar
Oil
Figure 2.22:
Power generation installed capacities for Vision 1 (Slow Progression),
Vision 3 (Blue Transition) and Vision 4 (Green Evolution and EU Green Revolution).
(Source: ENTSO-E)
Peak day and 2-week high demand cases
1)
There are different assumptions on the climatic dependence of the generation data
between the defined probabilities of the high demand situations and those ones in
the available information. ENTSO-E market modelling uses a specific climatic year,
while the ENTSOG 2-week and peak day demand cases are representing 1-in-20 or
national design case situations. Therefore adequate data was requested by gas
TSOs during the data collection process.
The peak gas consumption is expected on a day of high electricity demand for which
the availability of variable sources is low. The gas consumption on a day when the
availability of variable sources is high allows the estimation of the flexibility required
from the gas system in order to compensate for variability.
1) For more details on the definition of high demand cases and how they are considered in the assessment, please refer to
Annex F: Methodology