the combined margin approach: issues and options
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The Combined Margin Approach: Issues and Options. Michael Lazarus, SEI/Tellus World Bank Power Sector Workshop Caesar Park Hotel, Buenos Aires December 8, 2004. Overview of Presentation. The problem The options The combined margin approach - PowerPoint PPT PresentationTRANSCRIPT
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The Combined Margin The Combined Margin Approach: Issues and OptionsApproach: Issues and OptionsThe Combined Margin The Combined Margin Approach: Issues and OptionsApproach: Issues and Options
Michael Lazarus, SEI/Tellus
World Bank Power Sector Workshop
Caesar Park Hotel, Buenos Aires
December 8, 2004
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Overview of PresentationOverview of PresentationOverview of PresentationOverview of Presentation
The problem The options The combined margin approach
– Underlying rationale and practical considerations – Strengths and weaknesses
Next steps and new directions
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What’s the problem?What’s the problem?What’s the problem?What’s the problem?
Power sector projects and CERs depend on an unknowable counterfactual baseline
CERs = MWhproject x (tCO2/MWhbaseline - tCO2/MWhproject)
Baseline methodologies should balance – Accuracy– Feasibility (cost and data availability)– Transparency – Consistency (over time and space)– Credibility
Standardize or proliferate? Rely on simple or complex models?
0 1tCO2/MWh
MW
h
Multi-ProjectBaselines
PowerPlants
Distribution of CO2 intensity in a power system
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A CDM electricity project might affect: A CDM electricity project might affect: A CDM electricity project might affect: A CDM electricity project might affect:
The choice and/or timing of new power plants (or life extension of existing ones), i.e. the build margin, and/or
The operation of existing power plants, i.e. the operating margin,
Depending on– Context: excess capacity, suppressed demand, fixed investments – Project characteristics: peak vs. baseload, load-following vs.
resource-driven (firm vs. non-firm)– Market behavior: plans, intuition, and time-scale of interest (short-
term vs. long-term)– Project size: Cumulative effects of small projects, delay vs. displace
new capacity additions
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Simplified representationSimplified representationSimplified representationSimplified representationSystem Expansion (prior to CDM project)
3000
3500
4000
4500
2007 2008 2009 2010
Sy
ste
m C
ap
ac
ity
(M
W)
Total New Capacity (absent CDM project)
Existing Capacity
300MW new capacity added each year to meet
projected needs
Projected Needs
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Potential impact of a small CDM projectPotential impact of a small CDM projectPotential impact of a small CDM projectPotential impact of a small CDM project
The maroon area shown above may represent delayed (i.e. avoided) new generation capacity.
Effect of CDM project (simplified)
3000
3500
4000
4500
2007 2008 2009 2010
Sy
ste
m C
ap
ac
ity
(M
W)
Total New Capacity (absent CDM project)
Total New Capacity (with CDM project)
Existing Capacity
25 MW CDM project online
Other new capacity can be delayed (less likely for projects
already in pipeline)
Projected Needs
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What are the methodological options…What are the methodological options…What are the methodological options…What are the methodological options…
…assuming that a CDM project has a mix of build and operating margin effects?
Use a model capable of reflecting all effects– full simulation or optimization models (not just dispatch)
Use models or algorithms to estimate each effect separately, and then combine them:– E.g. consolidated/small-scale CDM methodology, “CERUPT”
methodology, consolidated CDM (ACM0002)
Decide which effect predominates and ignore the other
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ACM0002 combined margin approachACM0002 combined margin approachACM0002 combined margin approachACM0002 combined margin approach
Calculate a baseline emission factor EFy as the weighted average of the Operating Margin emission factor (EF_OMy ) and the Build Margin emission factor (EF_BMy,):
EFy = (wOM * EF_OMy) + (wBM * EF_BMy)
where the weights wOM and wBM, by default, are 50% (i.e., wOM = wBM = 0.5)
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OM and BM methodsOM and BM methodsOM and BM methodsOM and BM methods
CDM Consolidated methodology (ACM002) currently contains:
4 options for calculating the operating margin:– Simple OM: Weighted-average emission rate excluding
low-operating cost and must-run power plants– Simple Adjusted OM: Including some must-run/low-cost
resources (e.g. hydro) where they dominate a grid– Dispatch data analysis OM– Average OM
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And 1 option for calculating the build margin:And 1 option for calculating the build margin:And 1 option for calculating the build margin:And 1 option for calculating the build margin:
…the generation-weighted average emission factor of a sample of power plants m, as follows,
EF_BMy = FUEL USE * EMISSION COEFF/GENERATION
where the sample group m consists of either the 5 most recent or the most recent 20% of power plants built or under construction, whichever group’s average annual generation is greater (in MWh);
Option of ex ante or ex post analysis for either OM or BM
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Combined margin results: Combined margin results: CERUPT exampleCERUPT exampleCombined margin results: Combined margin results: CERUPT exampleCERUPT example
Note CERUPT (2002) methodology shown here differs from ACM0002
(CERUPT) Baseline Emission Rates by Country
0
0.2
0.4
0.6
0.8
1
1.2
1.4
tCO
2/M
Wh
coal
oil
gas
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Potential applications of the combined Potential applications of the combined margin methodmargin methodPotential applications of the combined Potential applications of the combined margin methodmargin method Zero or near-zero emission sources
– renewable energy – energy efficiency? – several AMs and ACM0002
Lower-emission sources– Combined heat-and-power – New natural gas plants?– Added production from plant upgrade or repowering?
0 1tCO2/MWh
MW
h
Multi-ProjectBaselines
PowerPlants
Distribution of CO2 intensity in a power system Uncertainties or errors have a
much larger relative impact on lower-emission sources– Difference between project and
baseline emission rates (tCO2/MWh) may be quite small
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What are its strengths and weaknesses?What are its strengths and weaknesses?What are its strengths and weaknesses?What are its strengths and weaknesses?
Strengths– Relative simplicity and
feasibility: low-cost, manageable data and skill requirements
– Incorporation of both OM and BM effects
– Consistent and comparable across regions and projects
– Relatively transparent and credible: data verifiable
Weaknesses/challenges– Applicability to larger
investments, lower-emission (e.g. natural gas) projects
– Justification of OM/BM weights (50/50 or other)
– Dependence on lumpy, historical data for build margin
– Application of dispatch analysis – Reflection of local market and
operational conditions
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Next steps and new directionsNext steps and new directionsNext steps and new directionsNext steps and new directions
Enhancing the consolidated CDM methodology– More forward-looking, less volatile build margin methods– Weighting the operating and build margins based on project, context,
and other factors– Standardized methods to fill “data gaps”– Applying/extending dispatch analysis and hydro-based system
methods
Developing other methods– Model-based methodologies that are transparent and credible
Cross-country, cross-context comparisons Complementary mechanisms to support low-GHG power
sector investments and strategies?
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SummarySummarySummarySummary Combined margin is an umbrella term for any
method that accounts for a project’s effects on both what is built and what operates in the future.
Simplified CM approaches can balance many competing objectives (accuracy, feasibility, consistency, transparency, credibility)
Considerable scope for improvement and new approaches
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EXTRA SLIDES FOLLOW
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Electricity Imports in ACM0002Electricity Imports in ACM0002Electricity Imports in ACM0002Electricity Imports in ACM0002
For the purpose of determining the Operating Margin (OM) emission factor, as described below, use one of the following options to determine the CO2 emission factor(s) for net electricity imports (COEFi,j,imports) from a connected electricity system within the same host country(ies):
(a) 0 tCO2/MWh, or (b) the emission factor(s) of the specific power plant(s) from which electricity
is imported, if and only if the specific plants are clearly known, or (c) the average emission rate of the exporting grid, if and only if net imports
do not exceed 20% of total generation in the project electricity system, or (d) the emission factor of the exporting grid, determined as described in
steps 1,2 and 3 below, if net imports exceed 20% of the total generation in the project electricity system.
For imports from connected electricity system located in another country, the
emission factor is 0 tons CO2 per MWh.
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Simple, adjusted OM (hydro-dominated)Simple, adjusted OM (hydro-dominated)Simple, adjusted OM (hydro-dominated)Simple, adjusted OM (hydro-dominated)
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Historical build margin (US)Historical build margin (US)Historical build margin (US)Historical build margin (US)
Capacity additions, recent and projected,–United States
060
,000
,000
120,
000,
000
180,
000,
000
1971-1975 1976-1980 1981-1985 1986-1990 1991-1995 under cons planned
Ca
pa
cit
y In
sta
lled
Pla
nn
ed
, or
Un
de
r C
on
str
uc
tio
n (
MW
)
0
0.2
0.4
0.6
0.8
1
1.2
Coal, steam Gas, steam Oil, steam
Gas, CT Oil, CT Gas, CC
Oil, CC Sun/Wind/Geo/Bio Hydro
Nuclear Other
Carbon Intensity
All
Carbon Intensity
Fossil
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GWh/h
0
5,000
10,000
15,000
20,000
25,000
30,000
Nuclear Geotérmica Eólica
Carbón Ciclo Combinado Dual
Vapor Hidráulica Turbogás
1 6 12 18 24 6 12 18 24 6 12 18 24 6 12 18 24 6 12 18 24 6 12 18 24 6 12 18 24
Domingo Lunes Martes Miércoles Jueves Viernes Sábado
Example of weekly dispatch 5 al 12 de diciembre de 1999
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