recent development in scenario analysis
TRANSCRIPT
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Recent development in scenario analysis
Detlef van Vuuren
RCPsClimateSSPs
Scenarios as mean to link communities
Drivers (population
, GDP)
Energy use,
Land useEmissions Conc./
forcingClimate/
Environmental change
ImpactExposed population, ability to adapt
Forc
ing
leve
l (W
/m2)
8.5
6.0
4.5
2.6
SSP1 SSP2 SSP3Shared Socio-economic Pathways
SSP4 SSP5RCPsClimateSSPs
NarrativesQuantitative
drivers
IAM reference scenario(e.g., SSP3-Ref)
IAM SSP-RCP scenario(e.g., SSP3-4.5)
The Scenario Matrix Architecture
Socioeconomicinformation
Climateinformation
SSP1 SSP2 SSP3Shared Socio-economic Pathways
SSP4 SSP5
Challenge to adaptation
Cha
lleng
e to
miti
gatio
nThe Scenario Matrix Architecture
Challenge to adaptation
Cha
lleng
e to
miti
gatio
n
SSP1:Sustainability
SSP2:Middle of the Road
SSP3: Regional rivalry
SSP4: Inequality
SSP5: Fossil fuel-ed development
The Scenario Matrix Architecture
Challenge to adaptation
Cha
lleng
e to
miti
gatio
n
SSP1:Sustainability Global cooperation Rapid technology dev. Strong env. policy Low population growth Low inequity Focus on renewables and efficiency Dietary shifts Forest protection
SSP2:Middle of the Road
SSP3: Regional rivalry
SSP4: Inequality
SSP5: Fossil fuel-ed development
The Scenario Matrix Architecture
UN world
Challenge to adaptation
Cha
lleng
e to
miti
gatio
n
SSP1:Sustainability Global cooperation Rapid technology dev. Strong env. policy Low population growth Low inequity Focus on renewables and efficiency Dietary shifts Forest protection
SSP2:Middle of the Road
SSP3: Regional rivalry• Competition among regions• Low technology development• Environment and social goals
not a priority• Focus on domestic resources• High population growth• Slow economic growth dev.
countries
SSP4: Inequality
SSP5: Fossil fuel-ed development
The Scenario Matrix Architecture
UN world
Clash of civilisations
Challenge to adaptation
Cha
lleng
e to
miti
gatio
n
SSP1:Sustainability Global cooperation Rapid technology dev. Strong env. policy Low population growth Low inequity Focus on renewables and efficiency Dietary shifts Forest protection
SSP2:Middle of the Road
SSP3: Regional rivalry• Competition among regions• Low technology development• Environment and social goals
not a priority• Focus on domestic resources• High population growth• Slow economic growth dev.
countries
SSP4: Inequality
SSP5: Fossil fuel-eddevelopment• Rapid growth, free trade• High technology
development, • Environment and social
goals not a priority: adaptive, technology-fix
• Focus on economic growth
The Scenario Matrix Architecture
UN world
Clash of civilisations
Marketsfirst
Challenge to adaptation
Cha
lleng
e to
miti
gatio
n
SSP1:Sustainability Global cooperation Rapid technology dev. Strong env. policy Low population growth Low inequity Focus on renewables and efficiency Dietary shifts Forest protection
SSP2:Middle of the Road
SSP3: Regional rivalry• Competition among regions• Low technology development• Environment and social goals
not a priority• Focus on domestic resources• High population growth• Slow economic growth dev.
countries
SSP4: Inequality• Inequality across and
within regions• Low technology
development• Environment priority for
those that can afford• Limited trade
SSP5: Fossil fuel-eddevelopment• Rapid growth, free trade• High technology
development, • Environment and social
goals not a priority: adaptive, technology-fix
• Focus on economic growth
The Scenario Matrix Architecture
UN world
Clash of civilisations
Marketsfirst
Have’s and have not’s
Narratives
Model tables
Energy
Land-use
Overview
Air pollution
SSP process
O’Neill et al
GDP
POP
Urbanization
Dellink, Crespo, Leimbach et al.
KC & Lutz
Jiang & O’Neill
AIM
/CG
E, G
CAM
, IM
AG
E, M
ESSA
GE-
GLO
BIO
M,
REM
IND
-M
AG
PIE,
WIT
CH
-GLO
BIO
M
SPAs
IAM-basedSSPs
Mitigationscenarios
Riahi et al
Bauer et al
Popp et al
Rao et al
Primary energy supplyTradePower systemCommodity prices
Natural area, land coverYields, managementFertiliserAgriculture land
Emissions of air pollutantsAerosol concentrations[deposition, ozone]
Greenhouse gas emissionsClimate change
2010 2040 2070 2100
0.00.20.40.60.81.0
SSP5 REMIND-MAGPIE
2010 2040 2070 2100
0.00.20.40.60.81.0
SSP4 GCAM4
SSP5 REMIND MAGPIE
2010 2040 2070 2100
0.00.20.40.60.81.0
SSP3 AIM/CGE
SSP4 GCAM4
2010 2040 2070 2100
0.00.20.40.60.81.0
SSP2 MESSAGE-GLOBIOM
2010 2040 2070 2100
0.00.20.40.60.81.0
SSP1 IMAGE
Coal
Oil/gasOther
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Bauer et al.
Baseline
4.5 W/2
2.6 W/2
Primary energy use (EJ)
Coal intensiveSlow changesTransition
High energydemand
Low energydemand
2oC:600 EJ,Little BECCS
2oC:1000 EJ,Strong BECCS
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Power sector
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Full decarbonisation of the electricity sector in 2050-2060
Diverse set of power sector scenarios
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CO2 emissions
Climate policy
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Scenario matrix architecture formsscenario tool kit
• Offers storylines and quantitative information for‘reference scenarios’ for:• Further elaboration in impact research (consistent
set of socio-economic data)• Basis for new climate research (e.g. treatment of
land-use, aerosols)• Offers opportunity to elaborate scenarios in
regional/sectoral studies• Provides opportunity for mitigation ánd
impact/adaption research in one structure
SSP3 SSP2 SSP1 SSP3 SSP2 SSP1MitigationImpacts/adaptation
Feasibility and costs of targets greatly depend on the SSP
(Mitigation costs as % of GDP)
Forc
ing
leve
l (W
/m2) 8.5
6.0
4.5
2.6
0.01(0.01-0.03)
0.27(0.01-0.27)
0.15(0.08-0.15)
0.62(0.23-1.00)
0.54(0.44-0.54)
1.88(0.50-1.88)
1.33(1.33-3.47)
0.02(0.02-0.02)
0.09(0.03-0.28)
0.68(0.46-0.68)
3.09(3.09-4.62)
0.18(0.1-0.18)
SSP1 SSP4 SSP2 SSP3 SSP5
0.09(0.07-0.12)
0.93(0.08-0.93)
0.43(0.43-0.82)
2.09(0.87-2.79)
1.40(1.40-1.41)3.4
0.04(0.01-0.04)
1
<0.1
2
3
>5
Mitigation costs are given as area under the MAC and percent of total GDP (2010-2100)
COP21 – agreement on long-term climate objectives
What do these long-term objectives imply for climate policy (reduction targets)
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The universal agreement’s main aim is to keep a global temperature
rise this century well below 2 degrees Celsius and to drive efforts to limit the temperature increase
even further to 1.5 degrees Celsius above pre-industrial levels
Risks of climate change
Paris agreement: … with the aim to keep temperature rise well below 2 oC (and push for 1.5 oC)
Relationship CO2 / temperature
Cumulative CO2 emissiesfrom 1870
0 2000 4000 6000 80000
1
2
3
4
5
Source: IPCC, 2013/2014
1000 GtCO2
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1000 GtCO2 is very tight.TimingContribution non-CO2 gassesRegional contribution
All factors that play a role in UNFCCC negotiations
Negative emissions: Bio-energy + CCS / reforestation
1.5oC: 400 GtCO2negative emissionsfor sure
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Peak in 2020-2030Steep
emissions reduction
Carbon neutrality
Zero or negative emissions
2oC scenarios have 4 distinct phases
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Delay leads to more rapid decarbonisation after 2030 – and even more stringent reductions
Not strengthening the INDCs (and EU’s 40% goal) make achieving the 2oC target without negative emissions almost unthinkable.
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-20 Mton
-50 Mton
Netherlands’ climate policy would need to increase level of ambition to be consistent with 2oC
PossibleNL
budget (2oC)
• Prepare in theshort-term foracceleration (focus on LT transition)
• International programme on CCS
6 step decarbonisation strategy
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1. Increase energy efficiency
2. Decarbonize the electricity asap
3. Electrification where feasible
4. Negative emissions
6. Mitigate non-CO2; halt deforestation; reforest
5. Difficult bit: decarbonize the remainder Biofuels, CCS, H2
AlternativesLifestyle change
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Priorities for research agenda Join in SSP-based research; elaborate alternative scenarios
(‘fill the matrices’) Research feasability of the “default” mitigation strategy –
model analysis – but especially combination with transition sciences How to achieve enough momentum for change
1.5oC scenarios Comparison to 2oC (how much negative emissions are needed)
Look into alternative pathways Map out infrastructure and investment requirements for
mitigation strategies Connections between mitigation strategies and SDGs
(increase support; trade-off LUC)
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Thank you for your attention
Twitter: @detlefvanvuuren
Email: [email protected]
Skype: detlef.van.vuuren
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