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Long-term Scenarios for Climate Long-term Scenarios for Climate Change-Implications for Energy, Change-Implications for Energy,
GHG Emissions GHG Emissions and Air Quality and Air Quality
Shilpa Rao,International Institute of Applied Systems
AnalysisLaxenburg, Austria
Workshop on aspirational targets, Utrecht, Mar 5 2009
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Trends in Long-TermTrends in Long-TermScenario DevelopmentScenario Development
• SRES scenarios (IPCC 2001) developed to SRES scenarios (IPCC 2001) developed to examine a range of economic and examine a range of economic and demographic development outcomes- demographic development outcomes- representative of uncertainty rangerepresentative of uncertainty range
• Scenarios broadly reflect policies that Scenarios broadly reflect policies that influence GHG emission drivers, such as influence GHG emission drivers, such as demographic change, social and economic demographic change, social and economic development, technological change, resource development, technological change, resource use, and pollution management. use, and pollution management.
• Recent long-term scenario development Recent long-term scenario development exercises are oriented towards examining exercises are oriented towards examining wide range of climate change outcomes –i.e. wide range of climate change outcomes –i.e. climate first thinkingclimate first thinking
Source: IAM Workshop, Vienna, 2008
Reference Concentration Pathway
• A joint community effort between Integrated A joint community effort between Integrated Assessment Modelers (IAMs) and Earth System Assessment Modelers (IAMs) and Earth System Modelers (ESMs)Modelers (ESMs)
• Participation of experts from air pollution and climate, for gridded level inventory data and climate model runs
• Models need to model all radiative forcing factors (full suite of GHGs, aerosols, chemically active gases, and land use/land cover)
• Scenarios extend to 2300• Produce data at higher resolution for
experimental climate change and atmospheric chemistry projections
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Emissions Pathways
Table 1.1: Overview of Representative Concentration Pathways (RCPs) 1 Description1 Publication – IA Model RCP8.5 Rising radiative forcing pathway leading to 8.5 W/m2
in 2100. Riahi et al. (2007) – MESSAGE
RCP6 Stabilization without overshoot pathway to 6 W/m2 at stabilization after 2100
Fujino et al. (2006) and Hijioka et al. (2008) – AIM
RCP4.5 Stabilization without overshoot pathway to 4.5 W/m2 at stabilization after 2100
Clarke et al. (2007) – MiniCAM
RCP3-PD2 Peak in radiative forcing at ~ 3 W/m2 before 2100 and decline
van Vuuren et al. (2006, 2007) – IMAGE
2
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Integrated Scenario Analysis at IIASA• Explore uncertainty of long-term development
under climate constraints through limited set of scenarios (3):A2r, B2, B1
• Scenario taxonomy (H/M/L) based on:-- emissions,-- vulnerability, -- stabilization levels,
• Integration: energy – agriculture – forestry sectors• Multi-gas analysis• Assess also implications of stabilization:
-- technology choice (e.g. efficiency vs. supply)-- sectorial measures (which gas, when, where)-- economics (costs and savings) -- geopolitics of energy (winners/losers)
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Riahi, et al. 2007Riahi, et al. 2007Riahi, et al. 2007Riahi, et al. 2007
IIASA Integrated Assessment FrameworkIIASA Integrated Assessment Framework
GHG EmissionsIndustry, Energy, and Land-based Mitigation
Deforestation & Afforestation(modeled on 0.5 x 0.5)
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Scenario Overview (World by 2100)
2000 A2R B2 B1
Population, 109 6 12 10 7GDP, 1012$ 27 189 238 328PE, EJ 402 1744 1274 1045GtC energy 7 27 14 7GtC forests 1 <1 -1 -1GtC-e all others 3 8 5 4GtC-e total 11 35 19 10ppmv (CO2-equiv) 370 1432 976 831
Stabil. Levels (ppm-equiv) 670-1350 490-680 490-680
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000
Evolution of Global Primary EnergyHistorical Development
Biomass (including Non-Commercial)
Coal
Oil
NuclearRenewables
Gas
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000
Evolution of Global Primary EnergyHistorical Development
Coal
Oil
Nuclear
Renewables
Gas
Biomass (including Non-Commercial)
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000
Evolution of Global Primary EnergyHistorical Development
Biomass (including Non-Commercial)
Coal
Oil
Nuclear
Renewables
Gas
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000 2050 2100
Evolution of Global Primary EnergyA2r GGI Scenario
Biomass (including Non-Commercial)
Coal
Oil
Nuclear
Renewables
Gas
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000 2050 2100
Evolution of Global Primary EnergyB2 GGI Scenario
Biomass (including Non-Commercial)
Coal
Oil
Nuclear
RenewablesGas
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0%
20%
40%
60%
80%
100%
1850 1900 1950 2000 2050 2100
Evolution of Global Primary EnergyB1 GGI Scenario
Biomass (including Non-Commercial)
Coal
Oil
RenewablesGas
Nuclear
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0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
Global Liquids SupplyA2r Scenario
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Global Liquids SupplyA2r Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyA2r Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyA2r Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyB1 Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyB1 Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyB1 Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Global Liquids SupplyB1 Scenario
0
100
200
300
400
500
600
700
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ -300700
2EJ
Hydrogen (allsources)
Biomass ethanol
Fossil methanol& liquids.
Non conv. oil
Conventional oil
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Climate Stabilization Scenarios
Climate Sensitivity ~2.5 degrees
0
200
400
600
800
1000
1200
1400
1600
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
CO
2 e
qu
iv.c
on
cen
trat
ion
(pp
mv)
A2_BL
A2_1390
A2_1090
A2_970
A2_820
A2_670
B2_BL
B2_670
B2_480
B1_BL
B1_670
B1_590
B1_520
B1_480
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Emissions & Reduction MeasuresPrincipal technology clusters – 1390 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Emissions & Reduction MeasuresPrincipal technology clusters – 1090 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Emissions & Reduction MeasuresPrincipal technology clusters – 970 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Emissions & Reduction MeasuresPrincipal technology clusters – 820 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Emissions & Reduction MeasuresPrincipal technology clusters – 670 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Emissions & Reduction MeasuresPrincipal technology clusters – 480 ppm target
0 50 100 150 200 250 300 350
Demand reduction
Nuclear
Renewables
Bioenergy carbon capture
CH4
F- gases
Cumulative contribution to mitigtion (2000 - 2100), GtC eq.
A2r
B2
B1
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Contribution by GHG to Mitigation
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
400600800100012001400
CO2eq concentration in 2100, ppm
Sha
re o
f cu
mul
ativ
e em
issi
on r
educ
tion
by G
HG
CO2
CH4
N2OF-gases
A2r B1
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Contribution by Sector to Mitigation
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
400600800100012001400
CO2eq concentration in 2100, ppm
Sha
re o
f cu
mul
ativ
e em
issi
on r
educ
tion
by s
ecto
r
Energy and Industry
Agriculture
Forestry
A2r B1
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Baseline ScenariosPrimary Energy per Capita
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Baseline ScenariosEmission Intensity
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A2rClimate Policy-670 ppm CO2eq.
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Electricity GenerationWestern Europe, A2r_670
0
30
60
90
120
150
180
1990
2000
2005
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
EJ
Decentr
Biomass
RenElec
Nuclear
Gas
Oil
Coal_advanced
Coal_old
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Electricity GenerationCentrally Planned Asia, A2r_670
0
30
60
90
120
150
180
1990
2000
2005
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
EJ
Decentr
Biomass
RenElec
Nuclear
Gas
Oil
Coal_advanced
Coal_old
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Transport SectorCentrally Planned Asia A2r_670
0
10
20
30
40
2000
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
EJ
Hydrogen
Electricity
Synliquids
Oil
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Residential SectorCentrally Planned Asia, A2r_670
0
10
20
30
40
2000
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
EJ
Decentr
Grids
Liquids
Solids
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NOX Emissions, A2r scenario Western Europe
0
4
8
12
16
20
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg N
Ox
Agriculture and Land UseChangeResidential
Industry
Power Plants
International Shipping
Transport
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NOX Emissions, A2r scenario China
0
4
8
12
16
20
24
28
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg N
Ox
Agriculture and Land UseChangeResidential
Industry
Power Plants
International Shipping
Transport
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BC Emissions, A2r
• In industrialized In industrialized countries emissions countries emissions decline in transport and decline in transport and industrial sectors, due industrial sectors, due to stringent regulations, to stringent regulations, technology technology improvement and fuel improvement and fuel switching (synthetic switching (synthetic fuels, hydrogen)fuels, hydrogen)
• In developing countries, In developing countries, there is a shift from there is a shift from traditional fuels to gas traditional fuels to gas and liquid-based and liquid-based systems in the systems in the residential sectorresidential sector
0
0.5
1
1.5
2
2.5
3
2000 2005 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg
BC
Industry Residential Transport
0.0
0.5
1.0
1.5
2.0
2.5
3.0
2000 2005 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg
BC
Industry Residential Transport
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Long-term development of Emissions
• Due to technology Due to technology improvements and improvements and shifts to natural gas shifts to natural gas based fuels, intensity based fuels, intensity of fossil fuel and of fossil fuel and biomass related biomass related emissions declines emissions declines over timeover time
• Decoupling of Decoupling of pollutant emissions pollutant emissions from CO2from CO2
0
0.05
0.1
0.15
0.2
0.25
0.3
2000 2005 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
g/M
J
SO2
Carbonaceousaerosols
NOX
0
2
4
6
8
10
12
14
16
18
2000 2005 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
kg/to
nC
SO2
Carbonaceousaerosols
NOX
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Co-benefits of climate mitigation,CPA A2_670SO2, NOX
0
5
10
15
20
25
30
35
40
45
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg S
O2
A2r baseline
A2r - 670
0
5
10
15
20
25
30
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Tg N
OX
A2r - Baseline
A2r_670
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2000
Proportional scaling
Exposure driven
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2030
Proportional scaling
Exposure driven
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2050
Proportional scaling
Exposure driven
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2070
Proportional scaling
Exposure driven
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2100
Proportional scaling
Exposure driven
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Concluding Thoughts
• Current trends in long-term scenario development include detailed technological information for climate policy analysis
• Include detailed information on air pollutants developed with the AP community-albeit so far for the CMC
• Possibility to provide useful support to air pollution community and contribute to issues of co-benefits
• Possible in future to examine wide range of issues related to air quality- for example pollution related health impacts