Emissions From Maritime Shipping Sector In A Freight Context
Transcript of Emissions From Maritime Shipping Sector In A Freight Context
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Emissions From Maritime Shipping
Sector In A Freight Context
James Corbett, P.E., Ph.D.
Presentation to OECD/ECMT
JTRC WG on Transport GHG
Reduction Strategies
21-22 May 2007
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Freight is an important
multimodal transport function
Shipping is an integral part of global trade
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Freight is an increasing
contributor to the economy
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0.20
0.40
0.60
0.80
1.00
1.20
1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Ind
ex
(2
00
0 =
1.0
)
U.S. GDP SUM of goods and services
10%
12%
21%
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Air pollution and Climate Impacts
from Ships
Two reasons to reduce ship emissions:
Ships contribute to problems TODAY
Growth in shipping makes problems worse
TOMORROW
Other reasons (depending on perspective)
Controls more cost-effective than other modes
Impacts mitigation may be asymmetric
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Mode share comparison
1
10
100
1,000
10,000
100,000
Road Shipping Aviation Rail
Carg
o V
olu
me (
Gtk
m)
U.S. Freight EU25 Freight Seaborne TradeEE
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Ships are more heterogeneous
than onroad transport
Tug and towboats 1-30 barges: 0.5 - 4 MW
High speed ferries 150-350 passengers: 2-4 MW
Roll-on\Roll-off 200-600 vehicles: 15-25 MW
Tankers 250,000 tons of oil: 25-35 MW
LNG fleet: 20-30 MW
Container 1750 TEU: 20-25 MW
4300TEU: 35-45 MW
6000 TEU: 55-65 MW
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1.E-03
1.E-02
1.E-01
1.E+00
1.E+01
1.E+02
1.E+03
Reg
iste
red
Fleet
Fue
l Use
Reg
iste
red
Fleet
CO2
(as C)
Reg
iste
red
Fleet
NOx (a
s N)
Reg
iste
red
Fleet
SOx (a
s S)
Reg
iste
red
Fleet
PM
Reg
iste
red
Fleet
Eng
ine
HC
Car
go H
C
Met
hane
Total N
MHC
Black
Car
bon
Org
anic C
arbo
n
Ref
riger
ants
Tg
pe
r Y
ea
r
Fuel and CO2 Traditional Air Pollutants and Black Carbon HFCs
Ship emissions estimates
boundedWhiskers: 5th and 95th bounds
Boxes: 25th and 75th bounds
Points: Best estimates of various studies
Best Estimate: ~15.4%
of anthropogenic NOxBest Estimate: ~7.8%
of anthropogenic SOx
Best Estimate: ~2.7%
of anthropogenic CO2
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Ship traffic differs by vessel type
Trade driven by commodity demand & resource supply
Containership
Tanker
Bulk Carrier
General Cargo
Refrigerated Cargo
Ro-Ro
Passenger
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… connected to domestic freight system
Trade import patterns are clear …
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Different top-down proxies
provide different regional pictures
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And these differences may produce different impacts assessments
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Forecasting Summary
Power-based trends used for forecasting
First-order indicator of proportional change in emissions,
adjusted for control measures
Forecasts are primarily extrapolations of BAU that can
be bounded and/or adjusted
North American trends validated by comparison with other
modal trends and ship trade-energy models, at multiple scales
Ship emissions growth rates are faster than GDP
Future emissions with IMO-compliant SECA will
be greater than base year emissions in 2002.
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Fast-growing sectors can dominate forecast
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2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
1980 1990 2000 2010 2020
Mil
lio
n M
etr
ic T
on
s
container tons, approx.
reefer tons
dry bulker tons
chemicals tanker tons
gas carrier tons
oil tanker tons
total tons
Data Forecast using
Persistence
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0
5
10
15
20
25
30
35
40
45
1980 1985 1990 1995 2000 2005
Millio
n T
EU
s
TEU throughput Total Cargo TEUs Export TEUs Import TEUs
U.S. Containership energy use driven by
strong growth in “heavy-leg” activity
Note the significant activity to move empty containers
Trade-based models can account for this
… through utilization factors, etc.
~6.5% ~7%
~10%
Linkage: Containership cargoes generate truck, rail activity
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Shipboard power trends indicate
strong growth in energy demand
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1965 1970 1975 1980 1985 1990 1995 2000 2005
Avera
ge In
sta
lled
Po
wer
(kW
)
15
0
0.5
1
1.5
2
2.5
1950 1960 1970 1980 1990 2000 2010 2020 2030
Seaborne Trade (tons) Seaborne Trade (ton-miles)
OECD HFO Int'l Sales Seaborne Trade (trend since 1985)
World Marine Fuel (Eyring, 2005) Installed Power-This work
Extrapolating trends since ~1980-85
depending on data source
Building a valid range of world forecasts
… starting with trade and energy
Con
ce
pt ill
ustr
atio
n c
red
ite
d to
dis
ucssio
ns w
ith
M.
Gra
ng
er
Mo
rga
n,
Carn
eg
ie M
ello
n U
niv
ers
ity
Implication: World (ocean) freight emissions on
track to double before 2050 (pre-2030?)
North America doubles between 2015-2020
China supplies NA and EU – faster growth?
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Next Steps
Recognize
different growth
rates and re-
forecast spatially
Consider policy
and technology
interventions
Couple better with
economics trends
Go multimodal
Expand globally
Container Ship Tanker
Reefer Bulk Carrier
Ro-Ro Passenger Vessel General Cargo
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Approaches to setting ship targets
1. Reduce emissions to improve performance,
irrespective of growth. DO SOMETHING SOON
2. Reduce emissions to hold current exposure
(impacts?) constant at some base year, offsetting
trade-driven growth in emissions. HOLD THE LINE
3. Reduce emissions by X amount, maintaining
emissions reductions (impacts?) from some base
year, despite trade growth. MITIGATE IMPACTS
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Menu of options to be matched
with strategies and fleet
Environmental control technologies Pre-combustion: e.g., water emulsions
In-engine: e.g., humidification
Post-combustion: e.g., SCR, scrubbers, PM controls
Only technology (and cost) combos get multiple pollutants
Nearly all carry CO2 penalties of 1-3% for retrofits
Alternative marine fuels and energy systemsCould double fuel price (freight rate ↑), and may require phase in
Operational (behavior) changesPossible in short term, possible multimodal logistics effects
Achieves reductions in CO2 and all pollutants (win-win)
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(Marine) Freight Transport
insights
Technology will involve fleet retrofits and new-builds
Economics determines role of alternative fuels
0.5% SECA or lower may be justified in large regions Health effects work ongoing, but SOx control benefits
appear greater than control costs
Reducing SOx and NOx will modify climate assessments
Most abatements increases CO2; reduced emissions change ozone and indirect aerosol forcing
Market incentives promising at several scales
Operational logistics changes may involve all modes
Decades required to completely achieve change
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GIFT Network Model (under development)
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Total fuel cycle
comparisons
Winebrake, J.J., J.J. Corbett, and P.E. Meyer, A Total Fuel Life-Cycle
Analysis Of Energy And Emissions From Marine Vessels, Paper No. 07-
0817, in Transportation Research Board 86th Annual Meeting,
Transportation Research Board, Washington, DC, 2007
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Co
urtesy
: Natio
nal M
aritime M
useu
m, B
ritain
A modern fleet of ships does not so much make use of the sea as
exploit a highway. -- Joseph Conrad, The Mirror of the Sea, Ch. 22, 1906
Discussion welcome
Contact:
James J. Corbett, P.E.
University of Delaware
Telephone: 302-831-0768EE
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World Fleet
289 Mtons
Registered Fleet
248 Mtons
Cargo Fleet
203 Mtons
248 Mtons209 Mtons
175 Mtons
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
100,000,000 150,000,000 200,000,000 250,000,000 300,000,000 350,000,000
Metric Tonnes Fuel
Perc
en
tile
International Bunker Statistics (with statistical error bars)
Estimated Cumulative Distribution of Cargo Fleet Fuel Consumption
Estimated Cumulative Distribution of Registered Fleet (Cargo + Non-Cargo Ships) Fuel Consumption
Estimated Cumulative Distribution World Fleet (Cargo + Non-Cargo + Military Ships) Fuel Consumption
Best estimates (Corbett and Koehler, JGR, 2003)
Lower specific fuel consumption rates
Fewer at-sea and in-port days, assuming only 1% of vessels are laid up, lower specific fuel consumption
Fewer at-sea and in-port days, more days laid up, lower specific fuel consumption
Best practices for CMV inventories
Step 1: Identify the vessel(s) to be modeled, and engines in service
Step 2: Estimate the engine service hours for the voyage or voyage segment
Step 3: Determine the engine load profiles, including power and duty cycle
Step 4: Apply emissions or fuel consumption rates for specific engine/fuel combinations
Step 5: Estimate emissions or fuel consumption for the voyage or voyage segment
Steps 6+: Assign emissions spatially and temporally both in and out of port
regions
[Corbett and Koehler, 2003; Corbett and Koehler, 2004]
Uncertainty remains, but bounding is improving
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6577
124
213
240
106.4 108.2
127135.9
164
280
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50
100
150
200
250
300
1940 1950 1960 1970 1980 1990 2000 2010
Milli
on
Metr
ic T
on
s F
uel
Fuel Use (Eyring et al) International Marine Fuel Statistics
Fuel consumption over past 50 years
Fro
m E
yri
ng
et
al., P
art
1,
JGR
, 2
00
5
Containerized shipping and globalization explains diversion
between usage and IEA energy allocation inventories
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Looking for preferred technology frontiers
among uncertain, variable alternatives
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
-60% -50% -40% -30% -20% -10% 0% 10% 20%
Change in CO2 Emissions (%)
Ch
an
ge
in N
Ox
Em
iss
ion
s (
%)
Decrease both
NOx and CO2
Decrease NOx
Increase CO2
Increase NOx
Decrease CO2
Increase both
NOx and CO2
Hydrogen fuel and
Advanced propulsion
Other fuels and prime movers
Operational Measures Traditional
Control
Technologies
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
0.00 0.20 0.40 0.60 0.80 1.00
Weight Assigned to Environmental Performance
(NOx reduction)
Weig
hte
d S
co
re Optimal Choice Line
Option 1: SCR
Option 2: Water in Air
Option 3: Water Fuel Emulsion
Option 4: Repower
Option 5: Alternate Fuel
Assumes ~25% fuel economy benefits for repowering
DPF
$43,275
($17,941 - $134,171)
DOC
$2318
($1062 - $7243)EMD
$266,187
($42,572 - $787,803)
FIE
$20,870
($4061 - 61,342)
IAF
$8526
($3907 - $26,645)
LNC
$37,225
($7596 - $111,014)
EGR
$30,336
($6332 - $90,549)
SCR
$71,525
($27,103 - $220,327)
-20%
0%
20%
40%
60%
80%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
ECT NOx Performance
EC
T P
M P
erf
orm
an
ce
EMD
DOC
SCR
EGR
LNC
IAF
FIE
DPF
Percent PM Reduction
Percent NOx Reduction
Cost (T
housands o
f Dolla
rs)
EMD
DOC
SCR
EGR
LNC
IAF
FIE
DPF
EMD
DOC
SCR
EGR
LNC
IAF
FIE
DPF
Percent PM Reduction
Percent NOx Reduction
Cost (T
housands o
f Dolla
rs)
Source: Corbett, Marine Transportation and Energy Use, Encyclopedia of Energy, 2004.
Corbett, J.J., and D.S. Chapman, Decision Framework for Emission Control Technology
Selection, Decision Analysis, Manuscript number AW-05-00171, Version 1, under revision, 2006.
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Benefit-cost ratio of fuel switching Benefit-cost ratio of fuel switching … and scrubbing
$10$50$90$130$170$210$250$290$330$370$410$450$490$530
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
Fuel Price Premium ($/ton)
Be
nefits
of R
ed
uction
($
/to
n S
O2)
4 -5
3 -4
2 -3
1 -2
0 -1
$10$50$90$130$170$210$250$290$330$370$410$450$490$530
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
Fuel Price Premium ($/ton)
Be
nefits
of R
ed
uction
($
/to
n S
O2)
4 -5
3 -4
2 -3
1 -2
0 -1
Wang, C., and J.J. Corbett, A Preliminary Estimation of Costs and Benefits
for Reducing Sulfur Emissions from Cargo Ships in the U.S. West Coastal
Waters, Paper 07-3402, in Transportation Research Board 86th Annual
Meeting, Transportation Research Board, Washington, DC, 2007
Not yet published. Do not copy or quote without permission
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Summary of IPCC forecast trendsIPCC SRES Emissions Scenarios Summary
0
100
200
300
400
500
600
1990 2010 2030 2050 2070 2090
Ex
oJo
ule
s (
EJ
) fo
r P
ow
er;
Tri
llio
n U
S$ f
or
GN
P/G
DP
A1 AIM GNP/GDP
A1 AIM Oil Use
A2 AIM GNP/GDP
A2 AIM Oil Use
B2 AIM GNP/GDP
B2 AIM Oil Use
B1 AIM GNP/GDP
B1 AIM Oil Use
Cargo growth should follow GNP
if US consumption is trade dominated
Petroleum use represents all sectors
(dominated by passenger vehicles).
Not a good trend line for marine cargo
transportation sector in isolation
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0
2,000,000
4,000,000
6,000,000
8,000,000
10,000,000
12,000,000
14,000,000
2000 2005 2010 2015 2020 2025 2030 2035
Metr
ic T
on
s S
O2 (
glo
bal)
4.1% Growth (This work) 1.5% Fuel-sulfur at 4.1% Growth
1.0% Fuel-sulfur at 4.1% Growth 0.5% Fuel-sulfur at 4.1% Growth
IMO GHG-study growth (3%) 1.5% Fuel-sulfur at 3% Growth
2002 Baseline
Bounding insights to transform
policy debate, focus dialogue
Is further debate on forecast rates more useful
than consideration of reduction targets that
offset growth in trade under range of trends?
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North American Results:Hypothetical IMO-compliant SECA (1.5% S) reduces
future emissions from BAU
… but not compared to base year
Reduces 700,000 metric tons from 2020 no-SECA
Increases by ~2 million Mtons over 2002 base-year
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Freight transport and environment:
multi-scale, multimodal challenge bigger than ships
More sustainable freight logistics, inventory, production, and consumption
Evaluation of economic drivers/barriers to innovation and diffusion of sustainable concepts, regulatory jurisdiction and standards
Design of transportation strategies to achieve economic, energy, and environmental goals that improve stewardship faster than growth
Forecasting trends and alternative mitigation pathways
Intergrated measures of sustainable transportation beyond air pollution
Impacts analysis: Environmental and health effects
Multi-scale characterization: Emissions inventories, fate-transport modeling
Emissions and discharges: Air pollution formation and control technologies
System attributes: Vessel or vehicle, engine, and propulsion design
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Jurisdictional constraints
Only Enforceable
by Treaty Nations
Treaties often are weaker
than national laws
Jurisdictional conflict occurs when
national policy doesn't address
local or regional problems
Ports try to address policy
problems AND attract cargoes
for regional economy
Some nations don't
participate, even though
their ships sail globally
International
Treaty
National
Sovereignty
State/Province
Authority
Port
Authority
National
Sovereignty
National
Sovereignty
Enforced by Port
State
Enforced by Flag
State
Regional Concerns:
Security
Pollution
Safe Navigation
Federal Laws
State Laws
Economic instruments can work
at these levels faster than treaty
or multinational or federal action
- if compatible at larger scales
Can treaty consensus achieve
these target ranges at all?
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Intermodal Comparisons:
Infrastructure Factors
Emissions
(g/kg fuel)2
NOx CO
Carbon
intensity3
($/tC)
Fraction
of CO2
(%)
Size of
fueling
stations
(power)
No. of
fueling
stations
Marine 71 16 950 6 175 MW 28-404
Autos1 14 130 2300 56 2.7 MW 180,000
Aircraft 3 17 2100 8.7 240 MW 725
Heavy trucks 30 17 2800 16 20 MW 5,500
Rail 76 9 3500 2.3
Ships may be preferred niche market for
new technology innovation
All figures for the United States. All figures rounded to two significant digits. (1) Includes both automobiles and light
trucks. (2) Computed using estimated actual emissions and fuel use. (3) End user expenditures divided by carbon
emissions. (4) Total of companies in the large U.S. ports providing international marine fuels (@ 4-10 per port). (5) Large
hub airports
So
urce: F
arrell, A.E
., D.W
. Keith
, and
J.J. Co
rbett, A
strategy fo
r intro
ducin
g h
yd
rogen
into
transp
ortatio
n, E
nerg
y Po
licy, 31
(13
), 13
57
-13
67
, 20
03
35
Building Empirical Network
~9000 segments & ~1700 ports
~170,000 ship trips/yr in North America
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Spatial Distribution in Multimodal ContextSpatial Distribution in Multimodal Context