4. TIMES Modelling
Cost and emissions balance
TIMES model
source availability
GDP
Coal processing
Process energy
Domestic Industry
sources Heating area
Refineries
a
Population
P l ti
Commercial and
Power plants tertiary sector Light
and
ces, Res
Transportation Communication
Households Power
Dem
C
CHP p a ts
plants Person
mands
Ener pric
and district kilometers
heat networks
rgy
Imports Transportation Freight
kilometers
Gas network
Primary energy
Pi Final
Fi l energy Service Demands
S
5. Why bother modelling?
• We can’t predict the future
• Can’t small changes in inputs change the results?
However ….
• We have targets and goals that we need to meet
• Uncertainty is not an excuse for inaction
…. and robust well bounded models ….
• avoid chaotic solutions
id h ti l ti
• can provide very useful insights regarding the future
• can generate a knowledge base to underpin policy
• can point to least risk choices via scenarios
p
• can strengthen our negotiating position
6. One purpose – Improved negotiation
EU Analysis 2008
y
SEC[2008] 85 Vol II - Page 43 Table 4
– cost optimal 10% EU-non-ETS target €40 - €50/tCO2
– non-ETS GHG reduction for Ireland of 17%
Irish
I i h TIMES S
Scenario A l i 2011
i Analysis
[€2000/ton CO2] Scenario 2020
Non ETS
Non-ETS emissions NETS GHG
NETS-GHG 212.9
7. Second purpose – Inform climate policy
Scenario Description
energy system demands met in the absence of emissions reduction
REF
targets.
8. Second purpose – Inform climate policy
Scenario Description
energy system demands met in the absence of emissions reduction
REF
targets.
80% CO2 emissions reduction below 1990 l l b 2050 A i lt
i i d ti b l levels by 2050. Agriculture
CO2-2050
emissions are implicitly assumed to meet 80% reduction also.
9. Second purpose – Inform climate policy
Scenario Description
energy system demands met in the absence of emissions reduction
REF
targets.
80% CO2 emissions reduction below 1990 l l b 2050 A i lt
i i d ti b l levels by 2050. Agriculture
CO2-2050
emissions are implicitly assumed to meet 80% reduction also.
95% CO2 emissions reduction target below 1990 levels (-96.6% relative
GHG-2050 to 2005). Agriculture is assumed to meet a 50% emissions reduction
by 2050.
y
15. M
Mt CO2eq
0
5
10
15
20
25
30
35
40
45
50
44.7
2005
REF
F
33.7
Transport
t 14.8
Electricity
5.8
generationn
Industry
y 3
3.6
Residential 2.3
Services
s 1.2
6.0
CO2‐2050
0
2050 Transport
t 0.0
Electricity
1.2
generationn
Industry
y 0.0
Residential 1.7
Services
s 0.7
Agriculture 0.8
e
1.5
GHG‐2050
0
Scenario Results: 2050 Emissions Reductions
16. M
Mt CO2eq
0
5
10
15
20
25
30
35
40
45
50
44.7
2005
REF
F
33.7
Transport
t 14.8
Electricity
5.8
generationn
Industry
y 3
3.6
Residential 2.3
Services
s 1.2
6.0
CO2‐2050
0
2050 Transport
t 0.0
Electricity
1.2
generationn
Industry
y 0.0
Residential 1.7
Services
s 0.7
Agriculture 0.8
e
1.5
GHG‐2050
0
Scenario Results: Sectoral Emissions Reductions
21. Scenario Results: 2050 Renewable Energy
6000
CO2‐2050 GHG‐2050
68% RES
68% RES 85% RES
85% RES
5000
Currently
Biomass
RES‐E 467 ktoe
4000 RES‐T 98 ktoe
RES‐H 218 ktoe
oe
3000 BioEthanol BioEthanol
kto
Biogas Biogas
2000 Wind
Wind Biodiesel Biomass Biodiesel
1000 Biomass
Ocean
Hydro
Hydro
0 Biogas and Waste Biogas and Waste
RES E
RES‐E RES T
RES‐T RES H
RES‐H RES E
RES‐E RES T
RES‐T RES H
RES‐H
CO2‐2050 GHG‐2050
2050
25. Next Steps
• Consultation with stakeholders
• Update input assumptions
• Improve energy efficiency options
• Reintegrate within European PET model
• Model electrification (heating and transport) within
PLEXOS
• Move to co-optimisation (energy and agriculture
together).
• Feedback to economy (elastic demand and CGE)
26. Thank You
Energy Policy
&
Modelling Group
Energy Policy and Modelling Group on