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Global Transportation and Technology in MiniCAM
Page Kyle, Sonny Kim, and Jae EdmondsGTSP Technical Review
May 28, 2009
PNNL-SA-66646
Motivation
Transport accounts for 33 % of total CO2 emissions and is the largest end-use source of energy-related CO2 in the US (EIA).Transport accounts for 23 % of global energy-related CO2 emissions (IEA).Growth in the demand for transport services worldwide implies continued long-term growth in CO2 emissions from the transportation sector.Ability to assess the impact of transportation policies and emerging vehicle technologies for lowering fuel consumption and emissionsrequires the ability to model differentiated transport services by mode and vehicle technologies.
Previous versions of the MiniCAM transportation representation did not include transport services by mode and vehicle technology for all global regions (except US).
Structure of MiniCAM Transportation SectorOld structure
Aggregate transport service by fuel
New structureDifferentiated transport services (pass-km, ton-km)Modes (avg speed, km/hr)Vehicle technologies (load factor, fuel intensity, non-fuel cost per vehicle)
Cost of Transport Service and Transport Service Demand (Passenger)
Pi,L = (Pf,L / Effi,L + Pnf,i,L) / LFi,L + WL / Tivehicle i in region LP = cost of passenger service, per passenger kmEff = vehicle fuel economyPnf = vehicle non-fuel costLF = load factor (persons per vehicle)W = wage rateT = average vehicle transit speed
Time value affects modal competition with bias towards faster modes with increasing wage rateTime value is included in the total transport service cost constraining service with rising wage rateDpass,L = apass,L* Ppass,L
rp* XLry* PopL
X = income per capitaPop = population
Passenger Time in TransitPassenger time in transit for all modes (including walking) is strikingly constant across regions and income levels
Note that only motorized modes are modeled in MiniCAMIncluding time value in service cost constrains time in transit
Source: Fig. 4 in: Shafer, A. (1998). The Global Demand for Motorized Mobility. Transpn Res.-A, Vol. 32, No. 6, pp. 455-477.
MiniCAM (1990 - 2095)Shafer (historical)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
0 50000 100000 150000
Per capita GDP (2005$)
Tim
e in
tran
sit (
hour
s/da
y)
AfricaAustralia_NZCanadaChinaEastern EuropeFormer Soviet UnionIndiaJapanKoreaLatin AmericaMiddle EastSoutheast AsiaUSAWestern Europe
Passenger Service DemandPassenger service demand is linear with income
Shafer (1960 - 1990) MiniCAM (1990 - 2095)
Source: Fig. 5 in: Shafer, A. (1998). The Global Demand for Motorized Mobility. Transpn Res.-A, Vol. 32, No. 6, pp. 455-477.
100
1000
10000
100000
100 1,000 10,000 100,000 1,000,000
GDP per capita (2005$)Pa
ssen
ger k
m p
er c
apita
Africa Australia_NZ Canada China
Eastern Europe Former Soviet Union India Japan
Korea Latin America Middle East Southeast Asia
USA Western Europe
Light-Duty Transport ScenariosLight-duty passenger transport is the focus of the following study
Largest component of transport energy use and CO2 emissionsEmerging new vehicle technologies are for light-duty serviceNo electric or H2 vehicle technologies for Freight and Passenger Aviation & Bus services
Climate policy (CP) scenarios impose an escalating carbon tax on all CO2emitting activities for all global regionsCarbon tax path is roughly consistent with a 450 ppm CO2 stabilization
Ref No alternative-fueled vehicle technologies in light duty vehicles.Elec All light-duty vehicles are electric-powered starting in 2035.H2 All light-duty vehicles are hydrogen-powered starting in 2035.Ref CP
Elec CPH2 CP
These scenarios have a global emissions price of $7.35 / t CO2 in 2015, increasing at 5% per year (real) through 2095
Global Passenger Service Demand by Mode, and LDV Stock
The fastest growth is in aviation due to increasing time value of transportationHowever, LDV is the largest component of passenger service, growing to about 3 billion vehicles in service by 2095
Developing world shifts from bus to LDV as incomes rise
Global Light Duty Vehicle Stock
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1990
2005
2020
2035
2050
2065
2080
2095
Mill
ion
Vehi
cles
LDV-Ref
0
20,000
40,000
60,000
80,000
100,000
120,00019
90
2005
2020
2035
2050
2065
2080
2095
Bill
ion
pass
enge
r mile
s
LDV Bus Rail Air
Passenger Service Demand by Mode in China, India, and USA (no policy)
High overall growth in transportation demands in China and IndiaShift from bus to LDVHigh growth in aviation
USA
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
1990
2005
2020
2035
2050
2065
2080
2095
Bill
ion
pass
enge
r mile
s
LDV Bus Rail Air
China
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
1990
2005
2020
2035
2050
2065
2080
2095
Bill
ion
pass
enge
r mile
s
LDV Bus Rail Air
India
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
1990
2005
2020
2035
2050
2065
2080
2095
LDV Bus Rail Air
Global Service Demand across LDV Technology ScenariosScenarios are set up so that service demand is relatively constant across technology scenarios
This allows analysis of effect of LDV technology on fuel consumption and CO2 emissions
LDV-Ref
0
20,000
40,000
60,000
80,000
100,000
120,000
1990
2005
2020
2035
2050
2065
2080
2095
Bill
ion
pass
enge
r mile
s
LDV Bus Rail Air
LDV-Elec
0
20,000
40,000
60,000
80,000
100,000
120,000
1990
2005
2020
2035
2050
2065
2080
2095
LDV Bus Rail Air
LDV-H2
0
20,000
40,000
60,000
80,000
100,000
120,000
1990
2005
2020
2035
2050
2065
2080
2095
LDV Bus Rail Air
Global LDV fuel consumption by fuel type
Electricity and hydrogen vehicles are more efficient than ICE vehicles at the end-use levelElectricity, hydrogen, and liquid fuels have different carbon intensities; effect on emissions is not clear
The CO2 emissions intensities of these fuels are influenced by available production technologies and climate policy
LDV-Ref
0
20
40
60
80
100
120
2005
2020
2035
2050
2065
2080
2095
EJ
Liquids Electricity Hydrogen
LDV-Elec
0
20
40
60
80
100
120
2005
2020
2035
2050
2065
2080
2095
EJ
Liquids Electricity Hydrogen
LDV-H2
0
20
40
60
80
100
120
2005
2020
2035
2050
2065
2080
2095
EJ
Liquids Electricity Hydrogen
Global Results: CO2 Emissions by LDV’sLDV-Ref
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
Gt C
O 2
Direct Refining Electricity Hydrogen
LDV-Elec
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
Direct Refining Electricity Hydrogen
LDV-H2
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
Direct Refining Electricity Hydrogen
LDV-Ref-CP
-4
-2
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
Gt C
O 2
LDV-Elec-CP
-4
-2
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
LDV-H2-CP
-4
-2
0
2
4
6
8
10
2005
2020
2035
2050
2065
2080
2095
Global Transportation Primary Energy with Policy
Both electric and hydrogen LDV scenarios reduce demand of oil by 50%Electric LDV favors nuclear, renewables, and coalHydrogen LDV favors gas at low to mid carbon prices, and biomass at high carbon prices
LDV-Ref-CP
0
50
100
150
200
250
1990
2005
2020
2035
2050
2065
2080
2095
EJ
LDV-Elec-CP
0
50
100
150
200
250
1990
2005
2020
2035
2050
2065
2080
2095
LDV-H2-CP
0
50
100
150
200
250
1990
2005
2020
2035
2050
2065
2080
2095
-250250
19 90 20 05 20 20 20 35 20 50 20 65 20 80 20 95
biomass-liquids biomass-elect biomass-elect-CCS biomass-H2biomass-H2-CCS coal-liquids coal-liquids-CCS coal-electcoal-elect-CCS coal-H2 coal-H2-CCS gas-liquidsgas-elect gas-elect-CCS gas-H2 gas-H2-CCSoil-liquids oil-elect unconv-liquids nuclear-electnuclear-H2 renewables-elect renewables-H2
Global CO2 emissions and CO2concentrations
With or without a climate policy, by the end of the century, alternative LDV technologies:
cut annual global CO2 emissions by about 10 Gt / yrcut global CO2 concentrations by about 40 ppmv
0
100
200
300
400
500
600
700
800
1990 2005 2020 2035 2050 2065 2080 2095
ppm
v C
O2
LDV-Ref
LDV-Ref-CP
LDV-Elec
LDV-Elec-CP
LDV-H2
LDV-H2-CP-20
-10
0
10
20
30
40
50
60
70
80
90
1990 2005 2020 2035 2050 2065 2080 2095
GtC
O2/
yr
LDV-Ref
LDV-Ref-CP
LDV-Elec
LDV-Elec-CP
LDV-H2
LDV-H2-CP
ConclusionsNew structure of the MiniCAM transportation sector with differentiated transport services by mode and vehicle technologies allows greater understanding of the global transportation sector and options for GHG emissions reduction.
Growth in the global demand for passenger and freight serviceModal shifts and their potential impact on fuel choice, fuel consumption and emissionsImpact of new vehicle technologies with alternative fuelsComparison of CAFE and carbon policies
Alternative vehicle technologies for Light-Duty Transport service alone could have significant impact on fuel consumption and CO2 emissions
Significantly lower CO2 concentrations (40 ppm less) are achievable with either an all electric or hydrogen light-duty transport system An all electric or hydrogen light-duty transport system has significant implications for the energy infrastructure and fuel choice
Liquid fuel use by whole transportation sector is reduced by 50%Vehicle technologies alone, electric or hydrogen light-duty, do not stabilize either emissions or atmospheric concentrations of CO2, however.