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Southern Corridor GRIP 2017–2026

0

800

400

2009

2010

2011

2012

2013

2014

2015

2016

200

600

1,600

1,400

1,000

1,200

TWh/y

Final

Power generation

+9.09% -4.28%

+4.75%

+6.46%

+1.65%

+14.80%

+4.72%

+2.76%

+19.48%

+7.25%

-2.64%

-3.84%

-2.85%

-10.52%

-4.81%

-2.97%

-18.29%

-6.50%

-8.81%

-23.75%

-11.92%

72.84%

27.16%

26.67%

73.33%

26.98%

73.02%

25.59%

74.41%

23.04%

76,96%

20.54%

79.16%

23.30%

76.70%

26.85%

73.15%

Figure 3.4:

Evolution of Southern Corridor yearly demand in the period 2009 – 2016 and its breakdown

3.2 Annual Demand Breakdown

Figure 3.4 shows the annual demand breakdown of the Southern Corridor Region

for the last seven years together with their percentage evolution. The chart is broken

down into Final (Residential, Commercial, Industrial & Transport) demand com-

pared to Power Generation demand. We may see the downward trend that prevailed

in the last five years, mainly in the Power Generation sector. On one hand cheap coal

combined with low carbon prices from the EU Emission Trading Scheme (ETS) have

made it, during part of this period, attractive to make use of coal fired instead of gas

fired power plants. On the other hand, progression of Renewable Energy Sources

(RES) may have reduced overall demand of Gas for power generation although they

support the role of CCGTs in the stability of electrical systems due to the high inter-

mittency of power production from RES. However this downward trend was reversed

in 2015 due to the decrease of the oil price which, to some extent led to a decrease

of gas price. This reversal was confirmed also in 2016 and similar positive consump-

tion patterns have been detected also in the first part of 2017. Gas demand is also

expected to be increased due to the phasing out of nuclear plants and the pressure

to reduce pollution from coal fired plants. Bio-methane is one more promising factor

for the longer term.

The historical data in figure 3.5 illustrates, that annual temperatures and economic

downturn also heavily influence gas demand. This is due to the high percentage of

households (in most countries) that rely on gas for heating, as demand increases

when outdoor temperatures decrease. Since annual weather conditions cannot be

forecasted, such extremes are not included in annual demand forecasts. In the

same way, economic growth rates can only be reasonably assumed during forecast-

ing, without the possibility to anticipate negative or positive unexpected shocks. This

should be borne in mind when comparing actual data and forecasts.