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1
Carbon Capture and Storage and the Location of Industrial
Facilities
Jeff Bielicki
Research FellowEnergy Technology Innovation Project
Belfer Center for Science and International AffairsHarvard University
Presentation at Research Experience in Carbon Sequestration 2007Montana State University, August 2, 2007
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What does CCS do?
• Couples industrial organization with geologic organization.– CO2 transport and storage requirements add
additional costs.• CO2 transport and storage costs introduce a
spatial ‘tax’.– Costs depend on the distance that CO2 must be
transported.• This presentation addresses how the economies
of scale for CO2 transportation interact with those of shipping coal and transmitting electricity.
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CO2 Transport and Storage
• Cost model balances CO2 pressure from storage reservoir back to source.– Includes all fixed and variable costs
• Composed of:– Pipeline transportation– Compression/Pressurization– Injection
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Existing U.S. PipelinesExisting CO2 Pipelines in the United States
L
(mi)
D
(in)
Capacity
(MMSCFD)
ROT
(kt/(yr*m2))
Canyon Reef Carriers 140 16 240 35,725
20 300 28,580
Cortez 502 30 1000 42,341
4000 169,364
McElmo Creek 40 8 60 35,725
Bravo 218 20 382 36,392
Transpetco/Bravo 120 12.75 175 41,022
Sheep Mountain 184 20 330 31,438
224 24 480 31,755
Central Basin 140 16 600 89,313
26 1200 67,645
Este 119 12.00 150 39,694
250 48,605
West Texas 127 8 100 59,542
12 26,463
Llano Lateral 53 8 100 59,542
12 26,463Sources: Map created from data provided by US Office of Pipeline Safety (2003); CO2 pipeline data collected from Oil & Gas Journal and operator websites.
2/1
000,112
COm
D CO2 mass flow rate in kt/yr.
Diameter in meters.
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Pipeline CO2 Transportation
• US Pipeline Construction Data– Onshore pipelines– Oil & Gas Journal, 1990-2005.
Regression:$ = 1,686,630∙1.0541 YR∙D0.9685∙L0.7315
• Using CO2 Pipeline Flowrates
$ = 0.3778∙1.0541YR∙m1.4685∙L0.7315
Pipeline Construction Costs: 1990-2005
Coefficient Cost ($)
Year – 1990
(YR)
0.0526***
(0.0040)
Ln(D) 0.0969***
(0.034)
Ln(L 0.732***
(0.012)
Constant 14.338***
(0.049)
Obs. 1052
Adj. R2 0.87
Standard errors in parentheses: ***p<0.01
Length in km.
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Transporting CO2
• Compression and Pressurization:– Compression from gas to liquid.1
– Pressurization as liquid.• Pressurization at source – Pressure drop = 10 MPa at
storage site.
– Compression/Pressurization equipment costs.2
1000,1
1
0
102
kk
cpCOc P
PTCmMW
1Assumes CO2 is an ideal gas. 2Based on IEAGHG (2003).
252 1000
81
pp D
fmLMW
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Storing CO2
• Injection:– Estimated costs to drill/equip/rework
wells1
– Flow/number of wells based on parameters from In Salah and SACROC.
– Injection Resistance Pressure:• Hydrostatic: Pres = (H2O-CO2)gh
• Dynamic:
n
k
r
t
bkmP COCO 2
25.2ln
1
4
122
1Sources: JAS (2000), O & G Journal
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Shipping Coal• Prices paid for 22,000+ shipments of coal in
US, 79 –01.1
– Shipped from a number of basins by a variety of means: rail, barge, truck, slurry…
– Analysis limited to approximately 4,000 records for single mode rail transportation in the “middle” states.
• 1990 Clean Air Act Amendments made coal from Powder River Basin attractive.
Mean Coal Content
PDR Not PDR
BTU 8,938
(634.9)
12,311
(902.9)
Sulfur 0.4222
(0.3062)
1.352
(0.8137)
Ash 5.761
(1.921)
9.683
(2.235)
Moisture 21.54
(10.67)
6.255
(4.329)
Standard deviation in parentheses.
1EIA (2005)
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Note(s) on Shipping via Railroad
• 1979 Staggers Act deregulated railroads.– 1980: 22 companies
operating rail lines.– 2007: 5 control 95% of
lines.
• 1990 Clean Air Act Amendments– Congestion out of
Powder River Basin.
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Coal Shipment Costs
• Four Interaction Models:1, 2
– Two functional forms– Two cost structures for distance
• Powder River Basin coal significantly cheaper.
DISMASHSBTUYRt RR 121086420/$ 1210864
20/$ DISMASHSBTUt RRYR
1Powder River Basin dummy variables not shown (odd-numbered coefficients). 2Distance structures differentiated by whether or not 13 and 13 are estimated.
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Case Study: Coal to Liquids Plant
• Coal gasification for synthesis gas: CO2+H2
• Fischer-Tropsch:
• 2.5 bbl oil and 1.7 tonnes CO2 from 1 tonne coal.1
• Economies of scale unclear.– Assume size relative to SASOL plant (150,000 bbl/d)
)(2)(2)(2)(22 glgg COCHHCO
1Assuming 75% efficient gasifier (Argrawal et al, 2007).
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CTL Plant: CO2 vs. Coal
• Example:– Powder River Basin coal, power model, same
cost structure, SASOL-sized plant.1
1 $70/MWh; 5%, 50 years.
Bold points indicate cost-minimized location
CCS transport and storage costs relocate CTL plants…
but only so much.
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Power Plant
• ‘Typical’ PC Power Plant1
– Uses approximately 9.6 kg/s coal per MW
– Produces approximately 4.7 kg/s CO2 per MW
1Full load, 37% efficiency
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Power Plant: CO2 or Coal?
• Should we transport CO2 or ship coal?
• CCS pulls power plants away from coal mines and towards storage sites.
• The tug weakens as the distance between the coal mine and the storage site decreases.
• No significant impact for small distances and power plants.
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Transmitting Electricity
• Transmission lines:– Discrete voltage
ratings.– Capacity degrades
over distance.– Losses depend on
distance, diameter, material, impedence…
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Electricity Transmission Costs
• Model chooses minimum required design.1
• E.g. Low load requires smaller diameter/lower capacity (kV) line. But losses increase.
• Hence the different slopes
Different line designs
1Based on IEAGHG (2003).
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CO2 or Electricity?
• Should we transport CO2 or transmit electricity?
Storage Site
CONCLUSION: Build power plant close to demand and transport CO2…
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But… Part of the Grid Exists
• The ‘tug’ of CCS transportation and storage depends on:– Plant size/output.– Distance between
demand and storage.– Amount of grid
infrastructure to be built.
• Transition at about 30±10% transmission investment.
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Economies of Scale
• This presentation focused on the ‘tug’ that CCS exerts on the location of facilities:– Significant enough to make existing facilities
wish they were somewhere else.– Scale of production is important.
• How do the economies of scale of CO2 transportation and interact with the economies of scale of e- and CO2 co-production and capture?
– Distance to storage site important.
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Next Steps
• Spatial Triangulation of Locations…
• … including Spatial Optimization for Pipeline Routing:
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