U.S. National Communication: Projections and Effects of Policies and Measures United States...
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Transcript of U.S. National Communication: Projections and Effects of Policies and Measures United States...
U.S. National Communication:Projections and Effects of Policies
and Measures
United States Delegation
UNFCCC Workshop on National Communications from Annex I Parties,
Bonn, Germany 28 February – 2 March, 2001
Overview
• Process underlying the preparation of the U.S. projections
• Modeling for projections and the effects of P&Ms
• Reporting then and now -- how issues are being addressed
• Conclusions
Preparation Process
• Federal interagency collaboration on program estimates and future projections– Energy, Environment, Transport, Agriculture, State
– Interaction with interagency P&Ms Team
– Oversight by White House, Budget Office
• Choice of methodology that we plan to use• Data collection• Modeling runs• Interagency expert and public stakeholder review
Energy Sector: Use of MARKAL-MACRO Model as an Integrating Framework
A bottom-up approach is adopted to first map programs to P&Ms, then from P&Ms to technology characteristics, demand for energy services, and consumer hurdle rate, and finally to reductions in energy consumption and carbon emissions.
The effects of programs on energy consumption and carbon emissions are estimated using capital stock turn over rate and improvement in energy efficiency attributable to these programs.
Technology Characteristics Energy Sources Used Efficiency Costs (Capital and O&M) Availability
Energy Source Data Cost Availability
Energy Demands By Sector
Other Assumptions Long-Term Discount Rate System Reserve Requirements
Other Constraints Max. CO2 Emissions by Time Period
Dynamic LP Optimization withMacro Economic
Feedback
Technology Mix for Each Time Period That
Satisfies Energy Demand Given System
Constraints
MARKAL-Macro Technology Choice
Other Greenhouse Gases
Other GHG estimates use combination of top-down projections of activities and detailed bottom-up analysis of measures
– vintaging model for synthetic gases (HFC, PFC, SF6)
– discrete spreadsheet models for CH4, N2O– rely on projections of activities for key variables
• e.g. coal production, area under cultivation, livestock populations
Carbon Sequestration
Carbon sequestration projections based on the latest Resource Planning Act Assessment (USDA/Forest Service, 2000)• Model consists of area-change, timber
market, and inventory projection components
• Implemented policies and measures are already addressed within the projections
• Action-specific estimates of benefits will be developed exogenously
Mapping of Programs to P&Ms and Technology-specific Model Parameters
Examples of Implemented Programs: Energy Star, Motor Challenge, Renewable Energy Commercialization, etc...
Policy and Measures: Economic, Fiscal, Voluntary/negotiated programs, Regulatory, Information, Education, Research, Other
Model Parameters: Capital cost, Efficiency, O&M cost, Consumer hurdle rate, Penetration rate, Commercial date, Demand for energy services
What do modelers of projections and effects need from P&M experts?
Policy and Measure Summary Information for 2001 CAR For “policy effects” analysis, we need data on performance
characteristics, capital stock in 1990, 1995, and 2000, market penetration assumptions, and average lifespan.
For “projections” analysis, we will be using Data on capital costs, fixed O&M costs, variable O&M costs,
performance characteristics, commercialization date, average lifespan, and consumer hurdle rate; and/or
Estimates of market penetration, average intensity improvements, and emerging market share of high efficiency technologies as Energy Star products
Guidance for information collection has been sent to all Federal agencies
Reporting then and now: How Issues are being Addressed
• 2nd national communication reporting issues
– failure to provide projections by sector and by gas
– no projection of emissions related to bunker fuels
– more sensitivity analysis on “with measures” projections
Reporting then and now
• Issues being addressed in preparations for 3rd national communication– Significantly changed economic profile
– Quality assurance, transparency
– Address uncertainties affecting emission projections (e.g., energy prices, elect. demand growth, etc.)
Comparison of Average Annual Growth Rates for years 2000 through 2020
CAR 1997 AEO 2001FactorsGDP 1.72% 2.89%Pop 0.80% 0.83%Energy 0.65% 1.33%Res Housing Stock 0.99% 1.04%Comm Floor Space 0.83% 1.22%Industrial Production 1.75% 2.60%Energy Intensity -1.05% -1.52%LDV VMT 1.77% 1.99%HDV VMT 1.38% 2.47%New Car MPG 1.99% 0.61%New LDT MPG 0.57% 0.74%New HDV MPG 0.00% 0.66%World Oil Price 0.99% -1.03%Wellhead Nat Gas 1.29% -0.29%Coal -0.80% -1.25%Avg Price Elec -0.47% -0.62%Avg Price Gasoline 0.21% -0.57%
Sources: Table 4.3 in CAR 1997, and Annual Energy Outlook 2001
Significant Changes in Economic Drivers and Impacts
Conclusions• Approach used encourages interaction between P&M
experts and modelers • Modeling effort is reflective of intent of P&Ms• Quality assurance is explicitly addressed because
modeling focuses on how policies influence specific technologies, and how improved program impacts might affect modeling assumptions– Promotes transparency in modeling process– Consistency in characterization of P&M effects across different
policies– Assumptions regarding a P&M or multiple P&M influences on
any given technology are logically tracked via model’s accounting framework
For More Information
• Projections Team: John Conti (USDOE) & Skip Laitner (USEPA), co-leads for the Projections Analysis; and Phil Tseng (USDOE, MARKAL expert)
• P&Ms Team: Kathleen Hogan (USEPA) & Mary Beth Zimmerman (USDOE), co-leads on P&Ms Analysis
• Coordination: Reid Harvey, USEPA Email: [email protected]: 1-202-564-9429