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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.
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
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
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.