SlideShare a Scribd company logo
1 of 24
1
Co-Benefits of Climate Policies:
Recent Evidence
Carmen Difiglio, Ph.D.
Deputy Assistant Secretary for Policy Analysis
Office of Policy & International Affairs
World Federation of Scientists
Seminars on Planetary Emergencies
Erice, 19 August, 2010
2
Outline: Co-Benefits of Climate
Policies
 Efficiency – Why the Free-Market is Suboptimal
 Cost Abatement Curves
 Climate Policy Models (as opposed to climate models)
 Overview of “450” Policy Co-Benefits
 IEA 2009 World Energy Outlook (WEO)
 IEA 2010 Energy Technology Perspectives (ETP)
 IIASA Research
 Why Co-Benefits Are Important
3
Proposition: Energy Efficiency
 Government intervention to
increase energy efficiency
produces consumer benefits.
 These are direct financial benefits
to consumers without
consideration of the externalities
of energy use.
 Several studies confirm that the
free market provides sub-optimal
levels of energy efficiency.
 For example:
4
Distribution of NPV to Improve Fuel
Economy 7.8 ltr/100 km to 6.7 ltr/100 km
(U.S., from David Greene)
Distribution of Net Present Value to Consumer of a
Passenger Car Fuel Economy Increase from 28 to 35 MPG
Mean = $405
X <= $2941
95%
X <= -$1556
5%
0.00
0.05
0.10
0.15
0.20
0.25
-$3,000 -$1,500 $0 $1,500 $3,000 $4,500 $6,000
Relative
Frequency
2005 Dollars
5
Estimated Value to Consumer
to Improve Fuel Economy
(U.S., from David Greene)
Price and Value of Increased Fuel Economy to
Passenger Car Buyer, Using NRC Average Price Curves
-$500
$0
$500
$1,000
$1,500
$2,000
$2,500
28 30 32 34 36 38 40 42 44 46
Miles per Gallon
Constant
2005
$
Fuel Savings
Price Increase
Net Value
Assumes cars driven
15,600 miles/year w hen
new , decreasing at
4.5%/year, 12% discount
rate, 14 year vehicle life,
$1.50/gallon gasoline, 15%
shortfall betw een EPA test
and on-road fuel economy.
Greatest net value
to consumer at
about 35 MPG
6
Value of 7.8 ltr/100 km to 6.7 ltr/100 km
Fuel Economy Improvement to Consumer
(U.S., from David Greene)
Net Present Value Distribution of Loss Averse Consumer
Mean = -$32
X <= $1128
95%
X <= -$1449
5%
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
-$3,000 -$1,500 $0 $1,500 $3,000
Relative
Frequency
2005 Dollars
7
Perceived Value to a Consumer to
Improve Fuel Economy
(U.S., from David Greene)
Price and Value of Increased Fuel Economy to
Passenger Car Buyer, Using NRC Average Price Curves
-$500
$0
$500
$1,000
$1,500
$2,000
$2,500
28 30 32 34 36 38 40 42 44 46
Miles per Gallon
Constant
2000
$
Fuel Savings
Price Increase
Net Value
Assumes cars driven 15,600
miles/year when new, decreasing at
4.5%
/year, 12%discount rate, 14 year
vehicle life, $2.00/gallon gasoline,
15%shortfall between EPA test and
on-road fuel economy.
Greatest net value
to customer at
about 30 MPG
8
Energy Efficiency Measures do Well on
CO2 Abatement Cost Curves
 CO2 “abatement cost curves” rank
climate policy measures by cost.
 In addition to cost, they show how much
CO2 mitigation is provided by measure.
 Many measures are shown with negative
cost.
 These measures are typically energy
efficiency programmes.
 Example: the McKinsey CO2 Abatement
Cost Curve.
9
McKinsey CO2 Abatement Cost Curve
10
Energy Sector Climate Stabilization
Policies
 Several models estimate the cost of reducing GHG emissions
in the energy sector:
– IEA Energy Technology Perspectives
– IEA World Energy Model
– Integrated Model to Assess the Global Environment (IMAGE)
– Pacific Northwest National Laboratory MiniCAM/GCAM*
– IIASA Model for Energy Supply Strategy Alternatives & their General
Environmental Impact (MESSAGE)
– Stanford Integrated Assessment Model for Climate Change (MERGE)*
 These are not climatology models.
*MiniCam/GCAM & MERGE do have reduced-form climate calculations to connect emissions to
stabilization scenarios.
 They are models that simulate the economic & technological
relationship between the economy & GHG emissions.
 They show how energy investments respond to climate
policies (cap & trade, GHG taxes, efficiency measures, etc.) to
produce an energy sector that has a different relationship
between energy services & GHG emissions.
11
450 Policies
 Correct free market efficiency bias.
 Reduce energy import bills.
 Reduce fuel costs.
 Reduce “conventional” air pollution:
–improves health,
–increases productivity,
–reduces medical costs, &
–reduces environmental damage.
12
Oil & Gas Import Bills
IEA WEO, 450 ppm Scenario
0
100
200
300
400
500
600
700
2008 2030
Reference Scenario
2030
450 Scenario
Billion
dollars
(2008)
European
Union
China
United
States
India
Japan
13
Incremental Investment vs. Fuel
Costs Savings
IEA WEO, 450 ppm Scenario
0
3 000
6 000
9 000
12 000
15 000
18 000
Incremental
investment 2010-
2030
Fuel cost savings
2010-2030
Fuel cost savings
over lifetime
Billion
dollars
(2008)
Transport
Buildings
Industry
14
IEA WEO, 450 Scenario: Co-Benefits
Summary
 Consumer fuel costs are $8.6 trillion lower (2010 &
2030) for an additional investment of $8.3 trillion.
• Savings in transport alone account for $6.2 trillion.
 OECD oil imports are 6 mb/d lower in 2030 than in
2008.
 China & India oil imports are 10% & 15% lower,
respectively, by 2030 than in the Reference Scenario.
 China's gas imports are 23% lower by 2030.
 Worldwide SO2 emissions are 29% lower than in the
Reference Scenario (2030).
 Worldwide NOx emissions are 19% lower & emissions
of particulate matter 9% lower (2030).
15
Going to 2050: OECD and Non-OECD
Primary Energy Demand
IEA ETP Baseline Scenario
Primary energy demand in non-OECD countries is
projected to increase much faster than in OECD
countries in the Baseline Scenario.
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
2007 Baseline
2015
Baseline
2030
Baseline
2050
Mtoe
Non-OECD
OECD
16
Global Emissions in the Baseline and 450
(Blue) Scenarios
0
10
20
30
40
50
60
2007 2030 2050 2030 2050
Baseline BLUE Map
Gt
CO
2
Other
Buildings
Transport
Industry
Other transformation
Power generation
Global CO2 emissions double in the Baseline Scenario,
but, in the Blue Scenario, abatement across all sectors
reduces emissions to half of 2005 levels by 2050.
17
Key Technologies for Reducing Global
CO2 Emissions
IEA ETP 450 (Blue) Scenario
A wide range of technologies will be necessary to
substantially reduce energy-related CO2 emissions.
0
5
10
15
20
25
30
35
40
45
50
55
60
2010 2015 2020 2025 2030 2035 2040 2045 2050
Gt
CO
2
CCS 19%
Renewables 17%
Nuclear 6%
Power generation efficiency
and fuel switching 5%
End-use fuel switching 15%
End-use fuel and electricity
efficiency 38%
BLUEMap emissions 14 Gt
Baseline emissions 57 Gt
WEO 2009 450ppmcase ETP2010 analysis
18
World Energy-Related CO2 Emissions
Abatement by Region
IEA ETP 450 (Blue) Scenario
In the Blue Scenario, most of the reductions in energy-
related CO2 emissions are in non-OECD countries.
5
10
15
20
25
30
35
40
45
50
55
60
2010 2015 2020 2025 2030 2035 2040 2045 2050
Gt
CO
2
Other Non-OECD 19%
Other OME 14%
India 12%
China 27%
Other OECD 10%
OECD Europe 7%
United States 11%
BLUE Mapemissions 14 Gt
Baseline emissions 57 Gt
ETP2010 analysis
WEO 2009 450 ppm case
19
Additional Investment Relative to
the Baseline Scenario
IEA ETP 450 (Blue) Scenario
Over the period to 2050, most of the additional
investment in low-carbon technologies will be needed in
non-OECD countries.
0
100
200
300
400
500
600
700
800
2010-2030
2030-2050
2010-2030
2030-2050
2010-2030
2030-2050
2010-2030
2030-2050
OECD Other major
economies
Emerging
economies
Leastdeveloped
countries
USD
billion
/
yr
Buildings
Transport
Industry
Power sector
20
Incremental Investment and Fuel Savings
Relative to the Baseline Scenario, 2010-2050
IEA ETP 450 (Blue) Scenario
Even using a 10% discount rate, fuel savings in the Blue
Scenario more than offset the additional investment
required.
-140
-120
-100
-80
-60
-40
-20
0
20
40
60
Investment
Fuel
savings
USD
trillion
(2010-2050)
Commercial
Residential
Transport
Industry
Power distribution
Power transmission
Power generation
Biomass andwaste
Natural gas
Oil
Coal
Undiscounted
3%
discount
10%
discount
Total
21
Average Annual Electricity Capacity
Additions to 2050
IEA ETP 450 (Blue) Scenario
Annual rates of investment in many low-carbon
technologies must be massively increased from today’s
levels.
0 10 20 30 40 50
SolarCSP
SolarPV
Geothermal
Wind-offshore
Wind-onshore
Biomass plants
Hydro
Nuclear
Gas-firedwithCCS
Coal-firedwithCCS
GW/ yr
Present rate Gaptoreach BLUE Map
30 plants (1 000 MW)
200 plants (50 MW)
12 000 turbines (4 MW)
3 600 turbines (4 MW)
45 units (100 MW)
55 CSP plants (250 MW)
325 millionm2 solar panels
2/3 of Three Gorges Dam
35 plants (500 MW)
20 plants (500 MW)
Historical high
22
Environmental Co-Benefits of Electricity
Power Technologies
IEA ETP 450 (Blue) Scenario
Clean energy technologies have positive
environmental co-impacts.
Air Water Land Air Water Land
Coal - USC 0.777
Coal - Biomass
Positive Positive
Variable /
Uncertain
Variable /
Uncertain
Minimal Minimal
0.622
Coal - CCS
Negative Negative Negative
Variable /
Uncertain
Negative Minimal
0.142
Coal - IGCC
Minimal
Variable /
Uncertain
Minimal Positive Positive Minimal
0.708
NGCC
Positive Positive Positive Positive Positive Positive
0.403
Nuclear
Positive
Variable /
Uncertain
Variable /
Uncertain
Positive Negative Positive
0.005
Solar - CSP
Positive Positive Positive Positive Negative Minimal
0.017
Solar - PV
Positive Positive Positive Positive Positive Minimal
0.009
Wind Positive Positive Positive Positive Positive
Variable /
Uncertain 0.002
CO2
Emissions
t/MWh
Energy
Technologies
Baseline Technology for Relative Assessments Below
Life Cycle Impacts
(Pre- and Post-Generation) Power Generation Impacts
23
IIASA Analysis: Fighting Climate
& Air Pollution Together
24
Why Co-Benefits Are Important
 The progress on a post-Kyoto climate treaty is less than
had been hoped.
 It is politically difficult to ask people to take action now to
avoid climate problems that seem far in the future.
 Some less-developed countries question why they should
incur costs to avoid consequences of high GHG
concentrations when the developed countries were
responsible for doubling them since the pre-industrial
age.
 Recognition of co-benefits could get countries started on
climate policies because they provide economic benefits
& reduce “conventional” pollution.

More Related Content

Similar to 2010_Defiglio.pptx

CIWM Geotech Award Presentation October 09
CIWM Geotech Award Presentation October 09CIWM Geotech Award Presentation October 09
CIWM Geotech Award Presentation October 09kofiapea
 
Nobuo Tanaka, IEA: Cost-Effective Carbon Reduction
Nobuo Tanaka, IEA: Cost-Effective Carbon ReductionNobuo Tanaka, IEA: Cost-Effective Carbon Reduction
Nobuo Tanaka, IEA: Cost-Effective Carbon ReductionAlliance To Save Energy
 
Modelling global macroeconomic impacts of a carbon constrained energy system ...
Modelling global macroeconomic impacts of a carbon constrained energy system ...Modelling global macroeconomic impacts of a carbon constrained energy system ...
Modelling global macroeconomic impacts of a carbon constrained energy system ...IEA-ETSAP
 
Energy efficiency improvements in nepalese industries
Energy efficiency improvements in nepalese industriesEnergy efficiency improvements in nepalese industries
Energy efficiency improvements in nepalese industriesDr Ramhari Poudyal
 
Carlo carraro - Cities and the 1.5° Mitigation Challenge
Carlo carraro - Cities and the 1.5° Mitigation ChallengeCarlo carraro - Cities and the 1.5° Mitigation Challenge
Carlo carraro - Cities and the 1.5° Mitigation ChallengeEIT Climate-KIC
 
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent Wanner
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent WannerCCXG Oct 2019 Reducing GHG emissions in the power sector - Brent Wanner
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent WannerOECD Environment
 
Policy directions to 2050
Policy directions to 2050Policy directions to 2050
Policy directions to 2050wbcsd
 
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...OECD Environment
 
Presentation on IEA Net Zero Pathways/Roadmap
Presentation on IEA Net Zero Pathways/RoadmapPresentation on IEA Net Zero Pathways/Roadmap
Presentation on IEA Net Zero Pathways/RoadmapIEA-ETSAP
 
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...Invest Northern Ireland
 
September 2011 - Michigan Energy Forum - Stanley "Skip" Pruss
September 2011 - Michigan Energy Forum - Stanley "Skip" PrussSeptember 2011 - Michigan Energy Forum - Stanley "Skip" Pruss
September 2011 - Michigan Energy Forum - Stanley "Skip" PrussAnnArborSPARK
 
Cb Low Carbon Sa Media Aug 09
Cb   Low Carbon Sa Media Aug 09Cb   Low Carbon Sa Media Aug 09
Cb Low Carbon Sa Media Aug 09equitywatch
 
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the Momentum
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the MomentumOECD Green Talks Webinar: Carbon Pricing Trends - Measuring the Momentum
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the MomentumOECDtax
 
OECD Environmental Performance Reviews: Germany 2023
OECD Environmental Performance Reviews: Germany 2023OECD Environmental Performance Reviews: Germany 2023
OECD Environmental Performance Reviews: Germany 2023OECD Environment
 
The disruption effect of digitalization on the energy sector: a multimodal ap...
The disruption effect of digitalization on the energy sector: a multimodal ap...The disruption effect of digitalization on the energy sector: a multimodal ap...
The disruption effect of digitalization on the energy sector: a multimodal ap...IEA-ETSAP
 

Similar to 2010_Defiglio.pptx (20)

CIWM Geotech Award Presentation October 09
CIWM Geotech Award Presentation October 09CIWM Geotech Award Presentation October 09
CIWM Geotech Award Presentation October 09
 
Nobuo Tanaka, IEA: Cost-Effective Carbon Reduction
Nobuo Tanaka, IEA: Cost-Effective Carbon ReductionNobuo Tanaka, IEA: Cost-Effective Carbon Reduction
Nobuo Tanaka, IEA: Cost-Effective Carbon Reduction
 
Modelling global macroeconomic impacts of a carbon constrained energy system ...
Modelling global macroeconomic impacts of a carbon constrained energy system ...Modelling global macroeconomic impacts of a carbon constrained energy system ...
Modelling global macroeconomic impacts of a carbon constrained energy system ...
 
Energy efficiency improvements in nepalese industries
Energy efficiency improvements in nepalese industriesEnergy efficiency improvements in nepalese industries
Energy efficiency improvements in nepalese industries
 
Carlo carraro - Cities and the 1.5° Mitigation Challenge
Carlo carraro - Cities and the 1.5° Mitigation ChallengeCarlo carraro - Cities and the 1.5° Mitigation Challenge
Carlo carraro - Cities and the 1.5° Mitigation Challenge
 
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent Wanner
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent WannerCCXG Oct 2019 Reducing GHG emissions in the power sector - Brent Wanner
CCXG Oct 2019 Reducing GHG emissions in the power sector - Brent Wanner
 
Policy directions to 2050
Policy directions to 2050Policy directions to 2050
Policy directions to 2050
 
Jos Delbeke - EU Climate Change Policy
Jos Delbeke - EU Climate Change PolicyJos Delbeke - EU Climate Change Policy
Jos Delbeke - EU Climate Change Policy
 
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...
Opening plenary Key Trends and Future Potential in Energy Sector Mitigation b...
 
Presentation on IEA Net Zero Pathways/Roadmap
Presentation on IEA Net Zero Pathways/RoadmapPresentation on IEA Net Zero Pathways/Roadmap
Presentation on IEA Net Zero Pathways/Roadmap
 
Thailand: Green Technology Investment
Thailand: Green Technology InvestmentThailand: Green Technology Investment
Thailand: Green Technology Investment
 
Creo2019 key results
Creo2019 key resultsCreo2019 key results
Creo2019 key results
 
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...
Enterprise Europe Network | Benefits of dual fuel vehicles for Northern Irela...
 
September 2011 - Michigan Energy Forum - Stanley "Skip" Pruss
September 2011 - Michigan Energy Forum - Stanley "Skip" PrussSeptember 2011 - Michigan Energy Forum - Stanley "Skip" Pruss
September 2011 - Michigan Energy Forum - Stanley "Skip" Pruss
 
Cb Low Carbon Sa Media Aug 09
Cb   Low Carbon Sa Media Aug 09Cb   Low Carbon Sa Media Aug 09
Cb Low Carbon Sa Media Aug 09
 
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the Momentum
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the MomentumOECD Green Talks Webinar: Carbon Pricing Trends - Measuring the Momentum
OECD Green Talks Webinar: Carbon Pricing Trends - Measuring the Momentum
 
OECD Environmental Performance Reviews: Germany 2023
OECD Environmental Performance Reviews: Germany 2023OECD Environmental Performance Reviews: Germany 2023
OECD Environmental Performance Reviews: Germany 2023
 
Energy Efficiency
Energy EfficiencyEnergy Efficiency
Energy Efficiency
 
2017 Melchett Lecture
2017 Melchett Lecture2017 Melchett Lecture
2017 Melchett Lecture
 
The disruption effect of digitalization on the energy sector: a multimodal ap...
The disruption effect of digitalization on the energy sector: a multimodal ap...The disruption effect of digitalization on the energy sector: a multimodal ap...
The disruption effect of digitalization on the energy sector: a multimodal ap...
 

More from StephenMcIntyre17

More from StephenMcIntyre17 (9)

Considine_COLA_Jan11.ppt
Considine_COLA_Jan11.pptConsidine_COLA_Jan11.ppt
Considine_COLA_Jan11.ppt
 
2009.11.04.India_Hoax.Shukla.ppt
2009.11.04.India_Hoax.Shukla.ppt2009.11.04.India_Hoax.Shukla.ppt
2009.11.04.India_Hoax.Shukla.ppt
 
2011.12.16.UofMiami_Shukla.ppt
2011.12.16.UofMiami_Shukla.ppt2011.12.16.UofMiami_Shukla.ppt
2011.12.16.UofMiami_Shukla.ppt
 
shukla_jnwp50.ppt
shukla_jnwp50.pptshukla_jnwp50.ppt
shukla_jnwp50.ppt
 
agu07.almagre.ppt
agu07.almagre.pptagu07.almagre.ppt
agu07.almagre.ppt
 
20120816 london.pptx
20120816 london.pptx20120816 london.pptx
20120816 london.pptx
 
agu06.mcintyre.ppt
agu06.mcintyre.pptagu06.mcintyre.ppt
agu06.mcintyre.ppt
 
2010 mcintyre-heartland_2010.pptx
2010 mcintyre-heartland_2010.pptx2010 mcintyre-heartland_2010.pptx
2010 mcintyre-heartland_2010.pptx
 
2006 house mcintyre.house.final.ppt
2006 house mcintyre.house.final.ppt2006 house mcintyre.house.final.ppt
2006 house mcintyre.house.final.ppt
 

Recently uploaded

VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PPRINCE C P
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzohaibmir069
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Lokesh Kothari
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxyaramohamed343013
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxAleenaTreesaSaji
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bSérgio Sacani
 
A relative description on Sonoporation.pdf
A relative description on Sonoporation.pdfA relative description on Sonoporation.pdf
A relative description on Sonoporation.pdfnehabiju2046
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 

Recently uploaded (20)

VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C P
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistan
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docx
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptx
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
 
A relative description on Sonoporation.pdf
A relative description on Sonoporation.pdfA relative description on Sonoporation.pdf
A relative description on Sonoporation.pdf
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
 

2010_Defiglio.pptx

  • 1. 1 Co-Benefits of Climate Policies: Recent Evidence Carmen Difiglio, Ph.D. Deputy Assistant Secretary for Policy Analysis Office of Policy & International Affairs World Federation of Scientists Seminars on Planetary Emergencies Erice, 19 August, 2010
  • 2. 2 Outline: Co-Benefits of Climate Policies  Efficiency – Why the Free-Market is Suboptimal  Cost Abatement Curves  Climate Policy Models (as opposed to climate models)  Overview of “450” Policy Co-Benefits  IEA 2009 World Energy Outlook (WEO)  IEA 2010 Energy Technology Perspectives (ETP)  IIASA Research  Why Co-Benefits Are Important
  • 3. 3 Proposition: Energy Efficiency  Government intervention to increase energy efficiency produces consumer benefits.  These are direct financial benefits to consumers without consideration of the externalities of energy use.  Several studies confirm that the free market provides sub-optimal levels of energy efficiency.  For example:
  • 4. 4 Distribution of NPV to Improve Fuel Economy 7.8 ltr/100 km to 6.7 ltr/100 km (U.S., from David Greene) Distribution of Net Present Value to Consumer of a Passenger Car Fuel Economy Increase from 28 to 35 MPG Mean = $405 X <= $2941 95% X <= -$1556 5% 0.00 0.05 0.10 0.15 0.20 0.25 -$3,000 -$1,500 $0 $1,500 $3,000 $4,500 $6,000 Relative Frequency 2005 Dollars
  • 5. 5 Estimated Value to Consumer to Improve Fuel Economy (U.S., from David Greene) Price and Value of Increased Fuel Economy to Passenger Car Buyer, Using NRC Average Price Curves -$500 $0 $500 $1,000 $1,500 $2,000 $2,500 28 30 32 34 36 38 40 42 44 46 Miles per Gallon Constant 2005 $ Fuel Savings Price Increase Net Value Assumes cars driven 15,600 miles/year w hen new , decreasing at 4.5%/year, 12% discount rate, 14 year vehicle life, $1.50/gallon gasoline, 15% shortfall betw een EPA test and on-road fuel economy. Greatest net value to consumer at about 35 MPG
  • 6. 6 Value of 7.8 ltr/100 km to 6.7 ltr/100 km Fuel Economy Improvement to Consumer (U.S., from David Greene) Net Present Value Distribution of Loss Averse Consumer Mean = -$32 X <= $1128 95% X <= -$1449 5% 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 -$3,000 -$1,500 $0 $1,500 $3,000 Relative Frequency 2005 Dollars
  • 7. 7 Perceived Value to a Consumer to Improve Fuel Economy (U.S., from David Greene) Price and Value of Increased Fuel Economy to Passenger Car Buyer, Using NRC Average Price Curves -$500 $0 $500 $1,000 $1,500 $2,000 $2,500 28 30 32 34 36 38 40 42 44 46 Miles per Gallon Constant 2000 $ Fuel Savings Price Increase Net Value Assumes cars driven 15,600 miles/year when new, decreasing at 4.5% /year, 12%discount rate, 14 year vehicle life, $2.00/gallon gasoline, 15%shortfall between EPA test and on-road fuel economy. Greatest net value to customer at about 30 MPG
  • 8. 8 Energy Efficiency Measures do Well on CO2 Abatement Cost Curves  CO2 “abatement cost curves” rank climate policy measures by cost.  In addition to cost, they show how much CO2 mitigation is provided by measure.  Many measures are shown with negative cost.  These measures are typically energy efficiency programmes.  Example: the McKinsey CO2 Abatement Cost Curve.
  • 10. 10 Energy Sector Climate Stabilization Policies  Several models estimate the cost of reducing GHG emissions in the energy sector: – IEA Energy Technology Perspectives – IEA World Energy Model – Integrated Model to Assess the Global Environment (IMAGE) – Pacific Northwest National Laboratory MiniCAM/GCAM* – IIASA Model for Energy Supply Strategy Alternatives & their General Environmental Impact (MESSAGE) – Stanford Integrated Assessment Model for Climate Change (MERGE)*  These are not climatology models. *MiniCam/GCAM & MERGE do have reduced-form climate calculations to connect emissions to stabilization scenarios.  They are models that simulate the economic & technological relationship between the economy & GHG emissions.  They show how energy investments respond to climate policies (cap & trade, GHG taxes, efficiency measures, etc.) to produce an energy sector that has a different relationship between energy services & GHG emissions.
  • 11. 11 450 Policies  Correct free market efficiency bias.  Reduce energy import bills.  Reduce fuel costs.  Reduce “conventional” air pollution: –improves health, –increases productivity, –reduces medical costs, & –reduces environmental damage.
  • 12. 12 Oil & Gas Import Bills IEA WEO, 450 ppm Scenario 0 100 200 300 400 500 600 700 2008 2030 Reference Scenario 2030 450 Scenario Billion dollars (2008) European Union China United States India Japan
  • 13. 13 Incremental Investment vs. Fuel Costs Savings IEA WEO, 450 ppm Scenario 0 3 000 6 000 9 000 12 000 15 000 18 000 Incremental investment 2010- 2030 Fuel cost savings 2010-2030 Fuel cost savings over lifetime Billion dollars (2008) Transport Buildings Industry
  • 14. 14 IEA WEO, 450 Scenario: Co-Benefits Summary  Consumer fuel costs are $8.6 trillion lower (2010 & 2030) for an additional investment of $8.3 trillion. • Savings in transport alone account for $6.2 trillion.  OECD oil imports are 6 mb/d lower in 2030 than in 2008.  China & India oil imports are 10% & 15% lower, respectively, by 2030 than in the Reference Scenario.  China's gas imports are 23% lower by 2030.  Worldwide SO2 emissions are 29% lower than in the Reference Scenario (2030).  Worldwide NOx emissions are 19% lower & emissions of particulate matter 9% lower (2030).
  • 15. 15 Going to 2050: OECD and Non-OECD Primary Energy Demand IEA ETP Baseline Scenario Primary energy demand in non-OECD countries is projected to increase much faster than in OECD countries in the Baseline Scenario. 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000 2007 Baseline 2015 Baseline 2030 Baseline 2050 Mtoe Non-OECD OECD
  • 16. 16 Global Emissions in the Baseline and 450 (Blue) Scenarios 0 10 20 30 40 50 60 2007 2030 2050 2030 2050 Baseline BLUE Map Gt CO 2 Other Buildings Transport Industry Other transformation Power generation Global CO2 emissions double in the Baseline Scenario, but, in the Blue Scenario, abatement across all sectors reduces emissions to half of 2005 levels by 2050.
  • 17. 17 Key Technologies for Reducing Global CO2 Emissions IEA ETP 450 (Blue) Scenario A wide range of technologies will be necessary to substantially reduce energy-related CO2 emissions. 0 5 10 15 20 25 30 35 40 45 50 55 60 2010 2015 2020 2025 2030 2035 2040 2045 2050 Gt CO 2 CCS 19% Renewables 17% Nuclear 6% Power generation efficiency and fuel switching 5% End-use fuel switching 15% End-use fuel and electricity efficiency 38% BLUEMap emissions 14 Gt Baseline emissions 57 Gt WEO 2009 450ppmcase ETP2010 analysis
  • 18. 18 World Energy-Related CO2 Emissions Abatement by Region IEA ETP 450 (Blue) Scenario In the Blue Scenario, most of the reductions in energy- related CO2 emissions are in non-OECD countries. 5 10 15 20 25 30 35 40 45 50 55 60 2010 2015 2020 2025 2030 2035 2040 2045 2050 Gt CO 2 Other Non-OECD 19% Other OME 14% India 12% China 27% Other OECD 10% OECD Europe 7% United States 11% BLUE Mapemissions 14 Gt Baseline emissions 57 Gt ETP2010 analysis WEO 2009 450 ppm case
  • 19. 19 Additional Investment Relative to the Baseline Scenario IEA ETP 450 (Blue) Scenario Over the period to 2050, most of the additional investment in low-carbon technologies will be needed in non-OECD countries. 0 100 200 300 400 500 600 700 800 2010-2030 2030-2050 2010-2030 2030-2050 2010-2030 2030-2050 2010-2030 2030-2050 OECD Other major economies Emerging economies Leastdeveloped countries USD billion / yr Buildings Transport Industry Power sector
  • 20. 20 Incremental Investment and Fuel Savings Relative to the Baseline Scenario, 2010-2050 IEA ETP 450 (Blue) Scenario Even using a 10% discount rate, fuel savings in the Blue Scenario more than offset the additional investment required. -140 -120 -100 -80 -60 -40 -20 0 20 40 60 Investment Fuel savings USD trillion (2010-2050) Commercial Residential Transport Industry Power distribution Power transmission Power generation Biomass andwaste Natural gas Oil Coal Undiscounted 3% discount 10% discount Total
  • 21. 21 Average Annual Electricity Capacity Additions to 2050 IEA ETP 450 (Blue) Scenario Annual rates of investment in many low-carbon technologies must be massively increased from today’s levels. 0 10 20 30 40 50 SolarCSP SolarPV Geothermal Wind-offshore Wind-onshore Biomass plants Hydro Nuclear Gas-firedwithCCS Coal-firedwithCCS GW/ yr Present rate Gaptoreach BLUE Map 30 plants (1 000 MW) 200 plants (50 MW) 12 000 turbines (4 MW) 3 600 turbines (4 MW) 45 units (100 MW) 55 CSP plants (250 MW) 325 millionm2 solar panels 2/3 of Three Gorges Dam 35 plants (500 MW) 20 plants (500 MW) Historical high
  • 22. 22 Environmental Co-Benefits of Electricity Power Technologies IEA ETP 450 (Blue) Scenario Clean energy technologies have positive environmental co-impacts. Air Water Land Air Water Land Coal - USC 0.777 Coal - Biomass Positive Positive Variable / Uncertain Variable / Uncertain Minimal Minimal 0.622 Coal - CCS Negative Negative Negative Variable / Uncertain Negative Minimal 0.142 Coal - IGCC Minimal Variable / Uncertain Minimal Positive Positive Minimal 0.708 NGCC Positive Positive Positive Positive Positive Positive 0.403 Nuclear Positive Variable / Uncertain Variable / Uncertain Positive Negative Positive 0.005 Solar - CSP Positive Positive Positive Positive Negative Minimal 0.017 Solar - PV Positive Positive Positive Positive Positive Minimal 0.009 Wind Positive Positive Positive Positive Positive Variable / Uncertain 0.002 CO2 Emissions t/MWh Energy Technologies Baseline Technology for Relative Assessments Below Life Cycle Impacts (Pre- and Post-Generation) Power Generation Impacts
  • 23. 23 IIASA Analysis: Fighting Climate & Air Pollution Together
  • 24. 24 Why Co-Benefits Are Important  The progress on a post-Kyoto climate treaty is less than had been hoped.  It is politically difficult to ask people to take action now to avoid climate problems that seem far in the future.  Some less-developed countries question why they should incur costs to avoid consequences of high GHG concentrations when the developed countries were responsible for doubling them since the pre-industrial age.  Recognition of co-benefits could get countries started on climate policies because they provide economic benefits & reduce “conventional” pollution.