transportation, energy, and emissions: an overview presentation by dr. george c. eads vice...
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Transportation, Energy, and Emissions: An Overview
Presentation by Dr. George C. EadsVice President, CRAI International
Conference on Global Energy and Climate ChangeLake Arrowhead, California
October 22, 2006
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Transport sector is a very large user of energy
*Includes residential, commercial & public services, and agriculture Source: WEO2004
Final Energy Consumption by Sector/Use (Mtoe)
0
2000
4000
6000
8000
10000
12000
2002 2010 2020 2030
Mto
e
Non-energy Use
Other Sectors*
Industry
Transport
26%29%
3
… and one of the largest emitters of CO2 Energy-related CO2 emissions by sector (Mt)
Source: IEA WEO2004
0
5000
10000
15000
20000
25000
30000
35000
40000
2002 2010 2020 2030
Mt
Non-energy use
Other sectors
Industry
Transport
Transformation, own use and losses
Power generation and heat plants
21%
23%
*Includes residential, commercial & public services, and agriculture
*
4
Well over 90% of transport fuels are oil-basedShare of transport energy by fuel
Source: IEA/SMP Spreadsheet Model Reference Case
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2010 2020 2030
Not oil-based
Residual fuel
Jet fuel
Diesel
Gasoline
5
The transport sector is by far the largest user of oil
Source: IEA WEO2004
Oil Use by Sector (Mtoe)
0
500
1000
1500
2000
2500
3000
3500
2002 2010 2020 2030
Mto
e
Transport
Industry
All Other Sectors
Non-energy Uses
6
Three transport modes account for about 80% of all transport energy use
Source: IEA/SMP Spreadsheet Model Reference Case
0
20
40
60
80
100
120
140
2000 2010 2020 2030
exaj
ou
les
Water
Rail
Buses
2-3 wheelers
Air
Freight trucks
LDVs
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The same three modes also account for about 80% of transport vehicle CO2 emissions
Source: SMP/IEA Spreadsheet Model Reference Case
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
2000 2010 2020 2030
Mt
2-3 wheelers
Freight + Passenger rail
Buses
Water-borne
Air
Freight trucks
LDVs
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At present, the OECD countries are responsible for nearly 70% of transport energy use, but this will change
Share of Transport Energy Use by Region (excluding international waterborne)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2010 2020 2030 2040 2050
Africa
Latin America
Middle East
India
Other Asia
China
Eastern Europe
FSU
OECD Pacific
OECD Europe
OECD North America
Source: SMP/IEA Spreadsheet Model Reference Case
9
They also are responsible for approximately 80% of CO2 emissions from LDVs…
Source: SMP/IEA Spreadsheet Model Reference Case
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2010 2020 2030 2040 2050
Africa
Latin America
Middle East
India
Other Asia
China
Eastern Europe
FSU
OECD Pacific
OECD Europe
OECD North America
10
…for about 55% of the emissions from medium and heavy duty freight trucks
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2010 2020 2030 2040 2050
Africa
Latin America
Middle East
India
Other Asia
China
Eastern Europe
FSU
OECD Pacific
OECD Europe
OECD North America
Source: SMP/IEA Spreadsheet Model Reference Case
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Source: SMP/IEA Spreadsheet Model Reference Case
Note: One half of emissions from flights between regions allocated to each regionNote: Does not account for contrails, NOx, etc.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2010 2020 2030 2040 2050
Africa
Latin America
Middle East
India
Other Asia
China
Eastern Europe
FSU
OECD Pacific
OECD Europe
OECD North America
…and for about 75% of air transport emissions
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The principal driver of transport energy and transport CO2 growth has been – and will continue to be -- growth the demand for personal and goods transport services
Rate of Change in Energy Use
=Rate of Change in
Transport Demand* +
Rate of Change in Energy Intensity of Vehicle Stock
Personal TransportLDVs 1.5% 1.9% -0.4%Mini-buses 0.6% 0.6% 0.0%Large buses 0.3% 0.3% 0.0%2-wheelers 2.4% 2.3% 0.1%Air transport 2.6% 3.3% -0.7%
Freight TransportMedium trucks 2.0% 2.7% -0.7%Heavy trucks 1.8% 2.4% -0.7%Rail 1.7% 2.2% -0.4%
Source: IEA/SMP Spreadsheet Model Calculations*Units for personal transport demand: vehicle-kilometers except for air, which is passenger kilometers. Units for freight transport demand: tonne-kilometers
Decomposition of projected rate average annual rate of change in transport energy use: 2000-2050
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SMP projections of personal transport demand
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These personal transport demand projections do not imply private motorized vehicle ownership rates typical of OECD countries
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Nor do they imply personal transport levels per capita that are equivalent to today’s OECD country levels
Source: SMP/IEA Spreadsheet Model Reference Case
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They are driven by growth in real per capita incomeRelationship between per capita personal travel and per capita real income, 2000
OECD North America
OECD Europe
OECD Pacific
FSU
Eastern Europe
China
Other AsiaIndia
Middle EastLatin America
Africa
y = 0.7102x + 0.8399
R2 = 0.9447
0
5
10
15
20
25
$0.0 $5.0 $10.0 $15.0 $20.0 $25.0 $30.0
Real Per Capita Income (US$, PPP Basis)
Tra
ve
l p
er
Ca
pit
a (
tho
us
an
ds
of
pa
ss
en
ge
r-k
ilo
me
ters
pe
r y
ea
r)
Source: SMP/IEA Spreadsheet Model Reference Case
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Projected growth in real per capita GDP (PPP basis)
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
5.0%
2000-2025 2025-2050 2000-2050
Ave
rag
e A
nn
ual
Gro
wth
Rat
e
China
Eastern Europe
India
FSU
Other Asia
Latin America
Africa
Middle East
OECD Europe
OECD Pacific
OECD North America
`
Source: SMP/IEA Spreadsheet Model Reference Case
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Source: SMP/IEA Spreadsheet Model Reference Case
2000 2025 2050 AAGR 2000-2025 (%) AAGR 2025-2050 (%)OECD North America $26.0 $35.9 $47.2 1.30% 1.10%OECD Europe $18.8 $30.7 $45.1 1.99% 1.55%OECD Pacific $22.1 $35.7 $57.7 1.93% 1.94%
OECD average $22.0 $33.7 $48.0 1.72% 1.43%
FSU $5.6 $12.3 $24.4 3.23% 2.76%Eastern Europe $4.6 $12.1 $29.9 3.99% 3.67%China $3.8 $11.1 $27.4 4.37% 3.66%Other Asia $3.3 $6.0 $10.8 2.43% 2.34%India $2.2 $5.3 $11.7 3.51% 3.19%Middle East $5.7 $6.2 $7.1 0.32% 0.56%Latin America $6.3 $9.8 $16.1 1.78% 2.01%Africa $1.9 $2.8 $4.0 1.47% 1.46%
Non-OECD average $3.5 $7.0 $13.1 2.83% 2.56%
World Average $6.9 $11.2 $17.8 1.94% 1.88%
What these growth rates imply for future income levelsLevel and average annual rate of growth of real per capita GDP (PPP basis)
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Why we need to think in terms of “well-to-wheels” emissions when evaluating policies to reduce transport-related GHG emissions
• Transport-related CO2 emissions are the sum of three emissions categories
1. Vehicle emissions (TTW) = emissions from the combustion of fuel by the vehicle’s engine
2. Fuel cycle emissions (WTT) = emissions associated with the production and distribution of transport fuel
3. Vehicle manufacturing, distribution, and disposal emissions
• For a MY1996 midsize US passenger car, each category is estimated to be responsible for the following share of total transport-related emissions over the life of the vehicle:
– Vehicle emissions: 75%– Fuel cycle emissions: 19%– Vehicle manufacturing, distribution, and disposal emissions: 7%
• These percentages are likely to change radically in the future
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ICE
ICE Hybrid
Fuel Cell
“Well-to-wheels” emissions of different fuel/propulsion system combinations – mid-sized European passenger car
Source: SMP, Mobility 2030
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“Well-to-wheels” emissions of different fuel/propulsion system combinations
Source: SMP, Mobility 2030
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“Well-to-wheels” emissions of different fuel/propulsion system combinations
Source: SMP, Mobility 2030
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Impact of various vehicle technologies and fuels transport-related GHG emissionsEmissions simulations using the SMP/IEA spreadsheet model
• SMP conducted two “illustrative simulations”
• Simulations tried to capture in-use effectiveness (not theoretical potential) of technologies and timing of their introduction and widespread diffusion
• Simulations didn’t consider costs or consumer acceptance in determining timing or introduction or rates of diffusion
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Simulation #1: Impact of individual technologies on worldwide WTW GHG emissions from road vehicles
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Simulation #2 – Identify plausible combination of actions that could return worldwide road vehicle WTW GHG emission to their 2000 level by 2050
Σ(1+2+3+4+5)
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Some concluding observations
1. Growth in demand for transport services (personal and freight) has been the primary driver of transport energy demand and transport-related GHG emissions. Demand for transport services will continue to grow as incomes grow. The rate of growth of demand for transport services is not immutable, but shouldn’t underestimate difficulty of change.
2. Eventually, transport must be largely eliminated as a significant source of GHG emissions. To do this, transport GHG emissions must be decoupled from transport energy use. Requires renewables and/or carbon sequestration of emissions from production of synthetic fuels.
3. Transport energy use likely to grow more rapidly than demand for transport services due to the increased energy requirements of producing carbon-free transport fuels.
4. In the very long run, transport vehicle energy efficiency is likely to become virtually irrelevant to transport GHG emissions; it will only determine the amount of carbon-free transport fuel that must be produced.
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Backup slides
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Simulation #1
Assumptions• Diesel ICE technology (using conventional diesel fuel) was assumed to have an 18% fuel consumption
benefit versus the prevailing gasoline ICE technology during the entire period
• Fuel consumption benefit relative to gasoline ICE technology assumed to be 36% for diesel hybrids, 30% for gasoline hybrids, and 45% for fuel-cell vehicles.
• For diesels and advanced hybrids, 100% sales penetration (worldwide) reached by 2030 in light-duty vehicles and medium-duty trucks
• For fuel cells,100% sales penetration (worldwide) reached by 2050; hydrogen produced by reforming natural gas, no carbon sequestration
• For “carbon neutral” hydrogen, change WTT emissions characteristics of the hydrogen used in fuel cell case above
• For biofuels, assumed that would be used in a world road vehicle fleet similar in energy use characteristics to the SMP reference fleet
Note: impacts are not additive
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Simulation #2
Applied seven “increments”* in order shown (are additive, but order matters)
1. Dieselisation. For light-duty vehicles and medium-duty trucks, rises to around 45% globally by 2030.
2. Hybridisation. For light-duty vehicles and medium-duty trucks increases to half of all ICE vehicles sold by 2030.
3. Conventional and advanced biofuels. The quantity of biofuels in the total worldwide gasoline and diesel pool rises steadily, reaching one-third by 2050.
4. Fuel cells using hydrogen derived from fossil fuels (no carbon sequestration). Mass market sales of light-duty vehicles and medium-duty trucks start in 2020 and rise to half of all vehicle sales by 2050.
5. Carbon neutral hydrogen used in fuel cells. Hydrogen sourcing for fuel cells switches to centralized production of carbon-neutral hydrogen over the period 2030-2050 once hydrogen LDV fleets reach significant penetration at a country level. By 2050, 80% of hydrogen is produced by carbon-neutral processes.
6. Additional fleet-level vehicle energy efficiency improvement. SMP reference case projects an average improvement in the energy efficiency of the on-road light-duty vehicle fleet of about 0.4% per year. We assume that the average annual in-use fleet-level improvement rises by an additional10% (i.e., from about 0.4% to about 0.6%).
7. A 10% reduction in emissions due to better traffic flow and other efficiency improvements in road vehicle use .
*Assumptions of effectiveness of technologies identical to those used in prior simulation
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SMP/IEA spreadsheet modelModel and documentation available at www.sustainablemobility.org
• Model developed jointly by SMP and the IEA’s Energy Technology Policy Division• Model benchmarked to IEA’s World Energy Outlook (WEO2002)
– WEO projections only extend to 2030; model extrapolates to 2050• Model covers same regions/countries as WEO, but much more modal detail
– Regions/countries OECD Europe, OECD North America, OECD Pacific, Former Soviet Union, Eastern Europe, China, Other
Asia, India, Middle East, Latin America, and Africa– Modes
Light duty personal vehicles, motorized 2 and 3 wheelers, buses, medium and heavy freight trucks, passenger and freight rail, air transport, internal and overseas waterborne
• Emissions projections include fuel cycle as well as vehicle emissions, though are calculated separately
– WTT emissions include N2O and CH4 • Model used to generate “reference case”
– Assumes that “present trends continue”– Policies already being implemented are completed; no new policies assumed
• Model also used to conduct simulations