Sensitivity of agricultural and forest GHG mitigation potential Steven Rose

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Sensitivity of agricultural
and forest GHG mitigation
potential
Steven Rose
RFF/EPA Workshop
Modeling the Costs and Volumes of GHG Offsets
May 12, 2009
Some issues to consider
• Policy design
– Eligibility
– Discounting
• Various reasons: e.g., missing costs, uncertainty, leakage
• Various forms: e.g., x% discount, 20% quantity cushion
– Constraints on use – creates a secondary market
• Economic/market
– Energy prices – affect agriculture/forestry costs and bioenergy demand and supply
– Commodity demand
– Technological change
– Offset market power – buyers or sellers?
– Competitiveness – relative domestic production costs?
– Adoption sequence – marginal biophysical responses
• Non-climate policies
– Energy policies (e.g, RFS, RPS)
– Federal farm policy
– Policies abroad
© 2009 Electric Power Research Institute, Inc. All rights reserved.
2
Some issues to consider
• Policy design
– Eligibility
– Discounting
• Various reasons: e.g., missing costs, uncertainty, leakage
• Various forms: e.g., x% discount, 20% quantity cushion
– Constraints on use – creates a secondary market
• Economic/market
– Energy prices – affect agriculture/forestry costs and bioenergy demand and supply
– Commodity demand
– Technological change
– Offset market power – buyers or sellers?
– Competitiveness – relative domestic production costs?
– Adoption sequence – do marginal biophysical responses matter?
• Non-climate policies
– Energy policies (e.g, RFS, RPS)
– Federal farm policy
– Policies abroad
© 2009 Electric Power Research Institute, Inc. All rights reserved.
3
Limiting/discounting the set of eligible options
Illustrative scenario
• Limited set of eligible mitigation activities
– Full GHG price for
• Capped activities: bioenergy, fossil fuel combustion
• Offset activities: afforestation, manure management
• Limited set and discounting of other mitigation
– 50% discount of other mitigation activities (e.g., ag soil carbon and
N2O, forest management, enteric fermentation, rice CH4)
• $15/tCO2 (2010) + 5%/year
• Preliminary results – please do not cite!
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Limiting/discounting the set of eligible options
e.g., $15/tCO2e + 5%/yr
600
400
200
MtCO2e/yr
0
2010
2015
2020
2025
2030
-200
-400
-600
Reference
-800
Limited eligible set
Limited eligible & 50% discount of others
Full eligibility
-1000
Preliminary results
© 2009 Electric Power Research Institute, Inc. All rights reserved.
5
2035
2040
2045
2050
Limiting the set of eligible options
e.g., $15/tCO2e + 5%/yr
Full eligibility
1200
1000
MtCO2e/yr
800
600
Crop Management FF
Biofuels
Bioelectricity
Other CH4&N2O
Animal Waste CH4
Net Ag Soil Seq
Afforestation
Forest Management
Offset total
All Strategies
400
200
0
2010
2015
2020
2025
2030
-200
Preliminary results
© 2009 Electric Power Research Institute, Inc. All rights reserved.
6
2035
2040
2045
2050
Limiting the set of eligible options
e.g., $15/tCO2e + 5%/yr
Limited eligible set
1200
1000
MtCO2e/yr
800
600
Crop Management FF
Biofuels
Bioelectricity
Other CH4&N2O
Animal Waste CH4
Net ag soil seq
Afforestation
Forest Management
Offset total
All Strategies
400
200
0
2010
2015
2020
2025
2030
-200
Preliminary results
© 2009 Electric Power Research Institute, Inc. All rights reserved.
7
2035
2040
2045
2050
Limiting the set of eligible options
e.g., $15/tCO2e + 5%/yr
Limited eligible & 50% discount other
1200
1000
MtCO2e/yr
800
600
Crop Management FF
Biofuels
Bioelectricity
Other CH4&N2O
Animal Waste CH4
Net ag soil seq
Afforestation
Forest Management
Offset total
All Strategies
400
200
0
2010
2015
2020
2025
2030
-200
Preliminary results
© 2009 Electric Power Research Institute, Inc. All rights reserved.
8
2035
2040
2045
2050
Large reduction in forest management; little
even negative response for eligible options
Difference in mitigation between limited eligible and full
eligible sets
200
100
MtCO2e/yr
0
2010
2015
2020
2025
2030
2035
-100
-200
-300
Forest Management
Net Ag Soil Seq
Other CH4&N2O
Biofuels
All Strategies
Afforestation
Animal Waste CH4
Bioelectricity
Crop Management FF
Offset total
-400
Preliminary results
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9
2040
2045
2050
Synergies: afforestation increases with crediting for
non-CO2 mitigation
Difference in mitigation between limited eligible & 50%
other and full eligible sets
200
100
MtCO2e/yr
0
2010
2015
2020
2025
2030
2035
-100
-200
-300
Forest Management
Net Ag Soil Seq
Other CH4&N2O
Biofuels
All Strategies
Afforestation
Animal Waste CH4
Bioelectricity
Crop Management FF
Offset total
-400
Preliminary results
© 2009 Electric Power Research Institute, Inc. All rights reserved.
10
2040
2045
2050
Secondary market
EPA Lieberman-Warner GHG Prices
EPA Waxman-Markey ADAGE GHG Prices
120
100
Allowance price
Domestic offset
Intl offset/credit
$/tCO2e
80
60
40
20
0
2015
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11
2020
2030
2040
2050
Secondary market GHG price?
Who will have the market power?
Offset
price
Annual constraint
Supply
Also, an issue of constraint design –
cumulative offset constraints
P1
(vs. annual) will increase fungibility
Bottom-line: offset price could be
P2
higher than shown in current analyses
P2 assumes
buyers have
market power
© 2009 Electric Power Research Institute, Inc. All rights reserved.
Demand
Offset quantity/yr
12
International considerations
• Competitiveness
• Leakage
© 2009 Electric Power Research Institute, Inc. All rights reserved.
13
USA sectoral mitigation w/ US only carbon tax (on ag & forest GHGs)
GE MAC of USA: USA-only carbon tax, sectoral and region total
100
90
ag
80
intensification
2001USD per tonne of C.
70
60
50
40
forest total
30
Regional AG+FRS abatement
20
Regional agriculture abatement
10
Regional forest total sequestration
USA forest intensification abatement
0
0
50
100
abatement - mmtce
Golub et al. (2009)
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150
200
250
ROW sectoral mitigation w/ various US only carbon taxes
intensification
~8% forest
~10% leakage total at
$27/tCO2e ($100/tCe)
~7% ag
100
90
ag
80
70
60
50
forest total
40
30
Regional AG+FRS abatement
2001USD per tonne of C.
GE MAC of ROW: USA-only carbon tax, sectoral and region total
20
Regional agriculture abatement
10
Regional forest total sequestration
ROW forest intensification abatement
0
-30
-25
-20
-15
abatement - mmtce
-10
-5
0
100
ROW AGR sectoral GE-MAC: USA-onl y taxed
90
80
2001USD per tonne of C.
70
60
50
40
30
1 PaddyRi ce
2 OtherGrai n
20
3 OtherCrops
4 Rumi nants
10
5 NonRumi nLi vs
Tot_AGR
-8
-7.5
-7
-6.5
-6
-5.5
-5
-4.5
-4
-3.5
Abmatement - MMTCE
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15
-3
-2.5
-2
-1.5
-1
-0.5
0
0
USA sectoral mitigation w/ US only carbon tax
GE MAC of USA: USA-only carbon tax, sectoral and region total
100
90
ag
80
intensification
2001USD per tonne of C.
70
60
50
40
forest total
30
Regional AG+FRS abatement
20
Regional agriculture abatement
10
Regional forest total sequestration
USA forest intensification abatement
0
0
50
100
abatement - mmtce
150
USA sectoral mitigation w/ global carbon tax
~30% reduction in ag
mitigation potential
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200
250
~10% reduction in
total mitigation potential
Net export changes (million $/year) with global tax of
$100/tCe ($27/tCO2e)
Other Manufacturing
and Services
Fertilizer & Energy
Intensive Manufacturing
Forest Products
Other Foods
Non-Ruminants
Ruminants
Ag
Other Crops
USA
Other Grains
CHN
ROW
Rice
-8000
-6000
-4000
-2000
0
2000
4000
6000
• US increasing livestock and food net exports, decreasing forest product net exports
• Interesting increase in fertilizer and energy intensive manufacturing from China and increase
in manufacturing and services from ROW
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17
Evaluating incremental adoption of
technologies on ag mitigation supply
Least-cost ordering of the abatement technologies
Price
Supply
Tech. C
However, typically ignore
interaction and compare
MC(Tech A|base), MC(Tech
B|base), MC(Tech C|base)
Tech. A
Incremental adoption implies:
MCTech A = MC(Tech A|Tech B)
MCTech C = MC(Tech C|Tech A,Tech B)
Tech. B
Quantity abated
Rose et al. (work in progress)
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18
Preliminary results suggest it matters
(e.g., abatement for Xinyang county rice paddies)
$6
Straight stacking
USEPA (2006)
$4
$2
Incremental
$0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
$/tCO2eq
$(2)
$(4)
$(6)
$(8)
Incremental
Optimistic
Conservative
$(10)
$(12)
$(14)
Cumulative net GHG reduction from baseline
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19
100%
Thank you!
Steven Rose
Global Climate Research Group
srose@epri.com
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