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Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIER
Markus Blesl
TIMES – EE27TIMES – EE27
ETSAP semi-annual Workshop 24. November 2004 in Florence
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERTIMES – EE (European Electricity Generation)
• 27 region model (EU 25, N, CH)• Detailed power generation sector (CO2 sequestration and capture
options, CHP included) based on a IER power plant database with 25,000 units included
• Country specific differences for characterisation of new power plants
• Detailed electricity exchange balances based on ETSO statistics• Country specific load curves based on UTCE statistics• Consideration of CHP expansion options• Renewable potential (onshore wind, offshore wind, geothermal,
biomass, biogas, hydro (small, middle, large))• Country specific availability factors for renewable • Country specific heat and electricity demand reduction options • GHG: CO2, CH4, N2O included• Pollutants: NOX, SOX, particles• Time horizon 1990-2030, 5 year periods, 12 time segments per year
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERModel of the European Electricity market (incl. CHP) – TIMES-EE
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERAssumptions
• Taxes included in fuel prices
• Different country specific classes of prices for biomass (including different types of wood, plant wood, energy crops) and biogas depending
• Country specific assumptions about the maximum / minimum of extraction capacities and use of lignite
• New nuclear is possible in France, Czech Republic (after 2015), Finland, UK (on a max. constant level), Poland and Swiss
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIEREnergy price assumption on power plant level (Euro pro GJ)
0
1
2
3
4
5
6
1990 1995 2000 2005 2010 2015 2020 2025 2030
En
erg
y p
rice
on
po
wer
pla
nt
leve
l in
[E
uro
/GJ]
Lignite Coal Oil Gas
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIEREnergy price differences on power plant level compared with Germany (tax included) in Euro/GJ
Light Fuel Oil
Heavy Fuel Oil Natural Gas Steam Coal
France -0,26 0,00 0,00 -0,23Austria 0,07 -0,19 0,18 0,00Belgium / Lux -0,97 0,16
-1,30
0,03Switzerland -2,68 0,00 0,00 0,00Czech Republic -0,79 -1,43 -0,18 -0,93Denmark -1,03 0,00 0,00 0,00Sweden -2,55 0,00 0,00 0,00Poland -1,16 -1,30 0,00 -0,29
Netherlands 1,40 1,80 -0,74 0,00Finland 1,56 2,32 -0,56 -0,17Greece 3,41 1,33Ireland -0,05 1,22 -0,93 -0,45Italy 3,48 0,19 -0,51 0,11Luxembourg 0,64Portugal 1,39 -0,40Spain 6,05 3,64 0,34UK 0,46 1,54 -1,15 -0,03
0,34
-1,30
-0,51
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERPolicy – CO2 target “Soft landing” or “Flexible Mechanism”
Electricity and heat generation Reduction targets against 1990
CO2-Emissionen Mio. t/a Kyoto1990 2010 2015 2020 2025 2030
Austria AT 12.136 -0.13 -14.7% -16.5% -18.2% -20.0% Belgium BE 22.477 -0.08 -9.3% -11.2% -13.1% -14.9% Denmark DK 23.844 -0.21 -22.6% -24.2% -25.7% -27.3% Finland FI 23.761 0.00 -2.0% -4.0% -6.0% -8.0% France FR 42.325 0.00 -2.0% -4.0% -6.0% -8.0% Germany DE 378.101 -0.21 -22.6% -24.2% -25.7% -27.3% Greece GR 35.629 0.25 22.5% 20.0% 17.5% 15.0% Ireland IR 10.363 0.13 10.7% 8.5% 6.2% 4.0% Italy IT 129.951 -0.07 -8.4% -10.2% -12.1% -14.0% Luxemburg LX 0.108 -0.28 -29.4% -30.9% -32.3% -33.8% Netherland NL 45.810 -0.06 -7.9% -9.8% -11.6% -13.5% Portugal PO 16.448 0.27 24.5% 21.9% 19.4% 16.8% Spain SP 66.626 0.15 12.7% 10.4% 8.1% 5.8% Sweden SW 9.218 0.04 1.9% -0.2% -2.2% -4.3% UK UK 219.282 -0.13 -14.3% -16.0% -17.8% -19.5% EU-15 1036.079 -0.10 -11.6% -13.4% -15.2% -17.0% Czech CZ 56.036 -0.08 -10.7% -11.7% -13.5% -15.4% Slowakei SK 14.820 -0.08 -10.7% -11.7% -13.5% -15.4% Poland PL 187.407 -0.06 -7.9% -9.8% -11.6% -13.5% Ungarn H 17.250 -0.08 -10.7% -11.7% -13.5% -15.4% Slowenien SL 2.460 -0.05 -10.7% -11.7% -13.5% -15.4% Estland EST 6.970 -0.08 -10.7% -11.7% -13.5% -15.4% Lettland LT 9.100 -0.08 -10.7% -11.7% -13.5% -15.4% Litauen LV 5.210 -0.08 -10.7% -11.7% -13.5% -15.4% Malta/Zypris MC 7.000 -0.08 -10.7% -11.7% -13.5% -15.4% EU-25 1335.331 -0.09 -11.0% -12.7% -14.5% -16.4%Switzerland NO 0.915 0.01 1.3% 1.5% 1.8% 2.0% Norway CH 1.044 -0.08 -10.7% -11.7% -13.5% -15.4% EU27 1337.289 -0.09 -11.0% -12.7% -14.5% -16.4%
Soft Landing
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIER
Scenario definition
• Reference case (REF)
• CO2 - Emission target “Soft landing” for EU15 and national targets (SOFT)
• CO2 - Emission target “Soft landing” for EU27 (FLEX)
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet electricity generation by energy carriers in EU25
0
500
1000
1500
2000
2500
3000
3500
4000
1990 1995 2000 REF SOFT FLEX REF SOFT FLEX REF SOFT FLEX
Statistic 2010 2020 2030
Net
ele
ctr
icit
y g
en
era
tio
n in
[T
Wh
]
PV Hard coal Lignite Oil Natural gas Nuclear Geothermal Hydrogen Hydro Wind Others
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet electricity generation by different renewable sources in EU25
0
100
200
300
400
500
600
700
800
1990 1995 2000 REF SOFT FLEX REF SOFT FLEX REF SOFT FLEX
Statistic 2010 2020 2030
Net
ele
ctr
icit
y g
en
era
tio
n in
[T
Wh
]
PV Geothermal Hydrogen Hydro Wind Others
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet electricity generation based on renewable in Europe
0
100
200
300
400
500
600
700
800
900
1000
1990 1995 2000 REF SOFT FLEX REF SOFT FLEX REF SOFT FLEX
Statistic 2010 2020 2030
Net
ele
ctri
cty
gen
erat
ion
by
ren
ewab
le [
TW
h]
Slovenia
Latvia
Lithuania
Estonia
Hungary
Slovakia
Norwegen
Schweiz
Poland
Czech
Sweden
Ireland
Greece
France
Finland
Denmark
Austria
Portugal
UK
Spain
Netherland
Belgium
Italy
Germany
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet electricity generation based on hard coal in Europe
0
200
400
600
800
1000
120019
90
199
5
200
0
RE
F
SO
FT
FL
EX
RE
F
SO
FT
FL
EX
RE
F
SO
FT
FL
EX
Statistic 2010 2020 2030
Net
ele
ctr
icit
y g
ener
atio
n b
ased
on
co
al in
[T
Wh
] Slovenia
Latvia
Lithuania
Estonia
Slovakia
Norway
Switzerland
Poland
Czech
Sweden
Ireland
Greece
France
Finland
Denmark
Austria
Portugal
UK
Spain
Netherland
Belgium
Italy
Germany
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet electricity generation based on gas in Europe
0
200
400
600
800
1000
1200
1400
1990 1995 2000 REF SOFT FLEX REF SOFT FLEX REF SOFT FLEX
Statistic 2010 2020 2030
Net
ele
ctr
icty
gen
erat
ion
by
nat
ura
l gas
in
[T
Wh
]
Slovenia
Latvia
Lithuania
Estonia
Hungary
Slovakia
Norwegen
Schweiz
Poland
Czech
Sweden
Ireland
Greece
France
Finland
Denmark
Austria
Portugal
UK
Spain
Netherland
Belgium
Italy
Germany
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERNet – electricity balance for the different countries
Import countries
Export countries
-200
-150
-100
-50
0
50
100
150
200
1990 1995 2000 REF SOFT FLEX REF SOFT FLEX
Statistic 2010 2020
Str
om
sald
o i
n [
TW
h]
Latvia
Lithuania
Estonia
Slovenia
Hungary
Slovakia
Norwegen
Schweiz
Poland
Czech
Schweden
Irland
Griechenland
Frankreich
Finnland
Dänemark
Österreich
Portugal
Großbritannien
Spanien
Niederlande
Belgien / Lux.
Italien
Deutschland
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERCO2 Emission in the different scenarios in EU 15
790
890
990
1090
1190
1290
1990 1995 2000 2005 2010 2015 2020 2025 2030JahrC
O2 e
mis
sio
n e
lect
ric
ity
an
d h
eat
gen
erat
ion
in
[M
io.
t C
O2]
REF SOFT FLEX Target EU15
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERDifferences between CO2 Emission „soft landing“ and national target (buyer/seller)
-250
-150
-50
50
150
250
350
450
REF SOFT FLEX REF SOFT FLEX REF SOFT FLEX
2010 2020 2030Dif
fere
nz
zwis
chen
Red
ukt
ion
szie
l "S
oft
lan
din
g"
un
d C
O2-
Em
issi
on
en
in [
Mio
. t
CO
2]
Latvia
Lithuania
Estonia
Slovenia
Hungary
Slovakia
Norway
Switzerland
Poland
Czech
Sweden
Ireland
Greece
France
Finland
Denmark
Austria
Portugal
UK
Spain
Netherland
Belgium
Italy
Germany
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIER
0
5
10
15
20
25
30
2010 2015 2020 2025 2030
Year
Ma
rgin
al a
ba
de
me
nt
co
st
in [
€/ t
CO
2]
SOFT FLEX
Marginal cost of CO2 reduction
Switch from coal to gas
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIERConclusions
• The differences between Kyoto – target and the emissions of the electricity and heat sector are not so big.
• If all European countries will include in the emission trading the certificate prices fall especially because of the hot air from Poland.
• With the Kyoto – target the renewable electricity generation target for the EU25 will not be automatically achieved.
• With a common electricity market, a free certificate market, a harmonised tax system the European emission reduction and the national renewable targets can be achieved in the most cost-effective manner leading to the lowest electricity prices.
Universität Stuttgart
Institut für Energiewirtschaft und Rationelle EnergieanwendungIER