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Department of Energy
1
Role of Integrated Assessment Modeling in CCTP Analysis “Beyond the Strategic Plan”
Graham M. PughSenior Policy Analyst
Climate Change Technology ProgramMay 28, 2008
2
Climate Change Technology Program
Formed in 2002 to coordinate and prioritize Federal climate change-related technology RDD&D:
≈$4 billion/year;10 R&D agencies participate.
CCTP authorized in EPAct2005.CCTP Strategic Plan released September 20, 2006.100-year planning horizon and global perspective Identifies approaches and a series of next steps to implement the Plan.
www.climatetechnology.gov
3** CEQ, OSTP, and OMB also Participate
Climate Change Policy and Program Review by NSC, DPC, NEC
Office of the President
Chair: Secretary of Commerce* Vice-Chair: Secretary of Energy* Executive Director: OSTP Director
Secretary of State NEC Director Secretary of TransportationSecretary of Agriculture NASA Administrator Secretary of DefenseEPA Administrator Secretary of the Interior CEQ Chairman OMB Director Secretary of HHS NSF Director
Committee on Climate Change Science and Technology Integration
Chair: Deputy/Under Secretary of Energy*Vice-Chair: Deputy/Under Secretary of Commerce*
Executive Secretary: OSTP Associate Director for Science
Members DS/US Level:CEQ, DOD, DOI, DOS, DOT, EPA,
HHS, NASA, NEC, NSF, OMB, USDA
Interagency Working Group onClimate Change Science and Technology
Director: Assistant Secretary of CommerceFor Oceans and Atmosphere
Members:**DOC, DOD, DOE, DOI, DOS, DOT, EPA, HHS,
NASA, NSF, Smithsonian, USAID, USDA
Climate Change Science Program
Director: Senior OfficialU.S. Department of Energy
Members:**DOC, DOD, DOE, DOI, DOS, DOT, EPA, HHS,
NASA, NSF, USAID, USDA
Climate Change Technology Program
* Chair and Vice Chair of Committee and Working Group alternate annually.
4
Long-Term Roadmaps -- From Today to the “End-State”
5
2 Fundamental Questions: How much mitigation is necessary and when does it need to occur?
Concentration TrajectoriesEmission Trajectories
750ppm650ppm550ppm450ppm350ppm
750ppm650ppm550ppm450ppm350ppm
Emission and concentration trajectories based on current funding profile for technology investments
Potential carbon reductions based on proposed technology investments
Action period to influence longer-term outcomes
Peta
gram
(bill
ions
of m
etric
tons
) of C
arbo
n pe
r yea
r (Pg
C/y
r)
Relevant Planning Window
Relevant Planning Window
6
Scenario Analysis and Integrated Assessment Modeling
CCTP uses scenario analysis based on integrated assessment modeling results
“Reference” and “advanced” technology depictions allow for study of scenarios in which certain technologies improve relative to othersProvides quantity and timing of GHG reductions, energy consumption, fuel mix, cost, etc. Scenarios allow CCTP to quantify benefits of advanced technologies in meeting climate goalsAnalysis shows cumulative costs of meeting climate change goals are much less with advanced technologies
7
CCTP Role
Methodology to incorporate CCTP scenario approach into DOE budget process was developed, applied to FY09 budgetCurrent efforts are focused of the use of scenarios in transition planning in preparation for a new administration
8
GDP Losses in CCTP Scenarios
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
2000 2020 2040 2060 2080 2100
Percent
450ALL
450BSS
450CLC450NEB
450Ref
United States The World
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
2000 2020 2040 2060 2080 2100
Percent
450ALL
450BSS
450CLC450NEB
450Ref
9
CCTP Role in DOE Portfolio Planning
Last year DOE senior leadership asked CCTP to work with the CFO’s office to use climate change metrics to optimize the technology portfolioTypical agency budgeting process:
Given baseline funding, what benefits can be achieved?DOE technology program benefits focus on the “three Es”:
» Environmental, energy security, and economic benefits.Each program provides benefits, but results not integrated, can’t be summed to determine net benefits
CCTP emphasized new questions:For each program, given a climate change mitigation planning goal, what would you need to be successful?What benefits accrue to the entire, integrated portfolio?
10
Portfolio Planning Methodology
GoalDevelop a portfolio that is hedged against risk, knowing that:
Not all technologies will succeed in making it to the market placeEven if they do succeed, their deployment may be limited by barriers
ApproachUse scenario analysis to define the most aggressive deployment trajectory for each technology
Use this as a program planning goalDevelop a ‘likelihood of success’ score that will discount benefits by factoring in barriers to deployment
Requires independent, expert judgment
11
Current Status and WRI Role
Methodology developed, applied to FY09 budgetGenerally viewed as successful, but two main areas for improvement identified:
» Need for updated technology assumptions, scenarios» Need for independent ‘likelihood of success’ analysis
Ongoing work with PNNL/JGCRI on modeling and scenariosWRI engaged to provide independent feedback on market risk, leveraging internal expertise and external network
» Hopefully WRI gains insights from the scenarios and other background information from CCTP
Current effort is focused less on budget and more on transition planning
How to inform policymakers in a new administration of least cost technology paths to achieve GHG mitigation goals
12
Elements of a Successful DOE Climate Portfolio
• Carbon Constraint: A price on CO2 or equivalent would significantly alter the commercial technology mix and reduce risk factors for success.
• Global Impact: The U.S. technology portfolio must be balanced against existing and future world needs for CO2 avoidance.
• Sequencing: U.S. Technology must be available on-time (20-30 years) to compete with emerging world demand for clean energy and to maximize deployment in emerging economies (e.g. China).
• Hedged: The technology portfolio chosen is inherently risky. Hedge against risk by setting ambitious goals for each technology, conservatively estimating the likelihood of success for each, and build the portfolio so risk- adjusted benefits meet the aggregate goal.
• Deployment: Partnership between industry and government are vital to bringing new technologies to market quickly – future policies should address appropriate Federal role of mitigating risk.
• Barriers: Significant range of policy needs to overcome barriers associated with each technology strand
Key Assumptions
• Future policies are likely to create carbon constraints: Generic carbon constraint emerges over time in DOE model, but model does not assume specific policies (e.g., carbon tax, cap-and- trade system, subsidies)
• Solutions must be global: Rest-of-World methodology assumes the world adopts advanced technologies with a time lag
• Expert judgment required at certain points in the process: Judgments well supported by research, analysis and modeling (e.g. non-benefit producing activities, such as research and grid, were logically inserted into investment sequence
• Near-term budget decisions (FY09) require long-term focus (50-100 year projections): Although the focus is on the near-term (FY09 budget + 5-year projection), analysis of the 50 to 100 year cumulative CO2 avoidance sums is required to appropriately assess benefits of the technology portfolios (e.g. coal and nuclear benefits accrue over very long time scales)
13
Analysis Process Overview – What We Did
Maximum potential CO2 avoidance goals from PNNL model were allocated to technology “strands”.Potential CO2 avoidance benefits were allocated by risk-adjusting PNNL output by an appropriate discount factor.ROI calculated (expected U.S. CO2 benefit/cost, based on 5-year funding profile)Portfolio of strands built in order of highest ROI first.DOE investment portfolio optimized for global benefit and appropriate federal role.Candidate portfolios generated for different budget options.
14
Starting Point: Detailed Portfolio Assessments (note: this is old data from last year’s template)
* In view of various hypothetical RD&D portfolios and other factors. Key: Very Likely (90-100%); Likely (60-90%); Maybe (40-60%); Unlikely (10-40%); Very Unlikely (0-10%)
15
Decision Process: ROI Based Portfolio
Coal Solar Power
Wind Power
Bio-Fuels
Buildings
Nuclear Fission
Other Renewables
TransportationIndustry
Hydrogen
Electric Grid
Energy Storage
14 Technology Strands
Create List of Potential Investments
CO2 Reduction AllocationsFor 9 Technology Strands
Time
Cum
. CO
2
Coal With CCS
38 Budget Proposals (IPLs)2-3 Per Strand w/ CO2 Benefits
Develop Candidate Portfolios
Rate Budget ProposalsCO2 Reduction / Cost
Build PortfolioHighest Rated Proposals First
Identify Candidate PortfoliosAt CO2 Reduction Thresholds
Cost ($M)
Threshold 1
Threshold 2
Threshold 3
P1 P2 P3
Cum
CO
2
Cost ($M)
Threshold 1
Threshold 2
Threshold 3
P1 P2 P3
Cum
CO
2 Threshold 1
Threshold 2
Threshold 3
P1 P2 P3
Cum
CO
2
Best CaseFrom Model
Time
Cum
. CO
2
Coal With CCS
Best Case
Proposed
Risk- Adjusted
Discount CO2 BenefitsBased on Proposal Risk Factors
OMB• Energy Security (Barrels of
Petroleum)• Economic Benefits ($)NEC• Energy Pricing ($ per kW/h)Budget Constraints• One-Year (FY09)• Five-Year (FY09-14)
For Additional Key Criteria and Constraints
Review andAdjust Portfolios
Strategic Research
CO2 Reducers Enablers
Budget Proposal CO2 / $Coal With CCS Low (CL) XXXCoal With CCS Medium (CM) YYYCoal With CCS High (CH) ZZZNuclear Fission Low (NL) XXXNuclear Fission Medium (NM) YYYNuclear Fission High (NH) ZZZElectric Grid Low (EL) N/A (Enabler)Electric Grid Medium (EM) N/A (Enabler)Electric Grid High (EH) N/A (Enabler)
Activity 1 $XXX Activity 1 $XXX Activity 1 $XXXActivity 2 $XXX Activity 2 $XXX Activity 2 $XXXActivity 3 $XXX Activity 3 $XXX Activity 3 $XXX
Activity 4 $XXX Activity 4 $XXXActivity 5 $XXX Activity 5 $XXXActivity 6 $XXX Activity 6 $XXX
Activity 7 $XXXActivity 8 $XXX
XXX gT of CO2 YYY gT of CO2 ZZZ gT of CO2
Coal With CCSLow (CL) High (CH)Medium (CM)
Int’l. GNEP
Cost ($M)
Cum
CO
2 TM
CL
NL
WL
Enab
ler
Enab
ler
BLSM
IL
CM
Cost ($M)
Cum
CO
2 TM
CL
NL
WL
Enab
ler
Enab
ler
BLSM
IL
CM
Step 1 Step 2 Step 3 Step 4
Step 8Step 5 Step 6 Step 7
16
Barriers Typology
6 Barrier Categories21 Barriers
~50 Detailed Barriers
Barriers are organized into six categories consistent with EPActBarriers are organized into six categories consistent with EPAct 2005 Title XVI.2005 Title XVI.
Cost Effectiveness
Fiscal Barriers
Regulatory Barriers
Statutory Barriers
Intellectual Property Barriers
Other Barriers
High Costs Unfavorable Fiscal
Unfavorable Regulations
Unfavorable Statutes
IP Transaction Costs
Incomplete and Imperfect
Information
Technical Risks
Fiscal Uncertainty
Regulatory Uncertainty
Statutory Uncertainty
Anti-competitive
Patent Practices
Infrastructure limitations
Market Risks
Weak International
Patent Protection
Industry Structure
External Benefits and
Costs
University, Industry,
Government Perceptions
Misplaced Incentives
Lack of Specialized Knowledge
Unfavorabletariffs
Policy Uncertainty
17
Strand Technical Risk Market Risk Infrastructure
LimitationsPolicy/Regulatory
UncertaintyLimitations of
DOE RoleBAU $ Prob*
High $ Prob*
Coal w/CCS Geologic storage Cost, public acceptance Geologic storage sites, CO2 transport
Siting permits, indemnification
Nuclear Public acceptance Waste storage Loan guarantees
Electric Grid Energy storage, grid stability Transmission corridors Complex
governance
Transportation Consumer preference CAFE
Hydrogen Storage, low-C production Cost, public acceptance Production, delivery Safety, codes, standards
Bio-Based Fuels Cellulosic production Food vs. fuel Feed stock, fuel
transportation Tax credit, tariff
Wind Intermittency (limits max penetration) Grid access, stability Tax credits Mature technology
Industry High up-front cost, imperfect knowledge
Diverse industrial base
Buildings High up-front cost, misplaced incentives
Building codes, appliance standards
Diverse, segmented market
Geothermal Reservoir technology Source location, quality Grid access Applicability of production
tax credit
Solar Efficiency, thermal storage
Cost, misplaced incentives (PV homes)
Grid interconnection,supply chain
Utility acceptance, net metering, tax credits
Diverse, segmented market
*Likelihood of attaining CCTP goals, given two budget options; Key = Very Likely (90-100%); Likely (60-90%); Maybe (40-60%); Unlikely (10-40%); Very Unlikely (0-10%)
Risk Adjustments Impacting Likelihood of Success
18
5-Year RD&D Investment, Technology Readiness Acceleration, and Expected U.S. Climate Change Benefits(CCTP Goals & Risk Factors; to 2100)
Transportation12
Industry6
Fossil5
Bio-Based Fuels
Solar3
Buildings3Wind
5
Nuclear5
Transportation12
Industry15
Fossil23
Buildings8
Wind6
Solar3
Bio-BasedFuels
3
Nuclear15
0
1
2
3
4
5
6
2000 2010 2020 2030 2040 2050 2060 2070
Technology Readiness (When Annual Deployment Reaches 10% of Peak Deployment)
U.S
. Cum
ulat
ive
Inve
stm
ent (
5-Y
ear B
udge
t Pla
n)
Area = Expected Benefits in GtC to 2100
Budget Option D1
Budget Option A
Focus U.S. Federal RD&D Investment on High Return Areas
Greatest impact on emissions
- Long-term large- scale investments
- High Risk
Near-term (5-15 years)
- Policy dependent
- Lower risk
19
Rest of World
Fossil w/ CCS
143
Rest of World
Nuclear
75
Rest of World
Industry
61
Keep Eye on Potential Influence of Major EmittersU
.S. C
umul
ativ
e In
vest
men
t (5
Year
Bud
get P
lan)
20
• RD&D/Technology: Achieving an emissions trajectory in the U.S. consistent with a worldwide trajectory of 450 to 550 ppm requires accelerated commercial use of low- carbon technologies
• Policy: RD&D and complementary market acceleration policies working together can move technologies toward the goal much quicker and reach the U.S. emission trajectory
• Strategy: Need both RD&D + supporting policy to succeed
– RD&D w/o policy drivers does not achieve sufficient commercial use
– Policies to hasten market penetration of new technologies w/o RD&D does not bring about transformation in energy systems
– Policies and RD&D lower the costs of compliance
CLIMATE BENEFITS
RD&D Policy
Staying on Course…
DOE’s Two-Pronged Strategy: RD&D + Policy