california energy commission transportation electrification electricity and natural gas model inputs...
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California Energy Commission
Transportation Electrification
Electricity and Natural Gas Model Inputs Workshop
Rosenfeld Hearing Room
February 26, 2015
Aniss Bahreinian
Demand Analysis Office
Energy Assessments Division
[email protected]/ 916-653-0381
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California Energy Commission
Transportation Electrification
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California Energy Commission
Off-Road Transportation with Electrification Option(Source: EPRI, 2011 http://www.smartgridinformation.info/pdf/4525_doc_1.pdf )
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California Energy Commission
Transportation Energy Forecasting Models
• Sector-specific demand models, each representing consumption behavior of that sector
• All economic models, accounting for the impact of time and/or cost of an activity or a product, as well as income and/or economic output in the choice process
• Account for tank-to-wheel energy consumption only
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California Energy Commission
Light Duty Vehicle Demand (LDV) Forecasting Models
• Use behavioral models to forecast statewide population of on-road Electric Vehicles (EV) and Plug in Hybrid Electric (PHEV) in California, separately for commercial and residential sectors
• The LDV models account for inter-fuel competition, between all fuel types, as well as competition between different classes of vehicles, on:
• Fuel Prices• Vehicle Prices• Fuel Economy• Range• Other vehicle and fueling attributes
• Use a simple growth model to forecast Neighborhood Electric Vehicles (NEV)
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California Energy Commission
Other Transportation Electricity UseStatewide Electricity Use (Tank to Wheel)• Light Rail/Other electrified urban transit• High Speed Rail (post-processed, using Cal HSR assumptions
and output)• On-Road goods movement & service trucks (Freight)
Transportation Communication and Utilities (TCU) electricity demand model forecasts the stationary use of electricity in transportation-related facilities and buildings, such as transit stations, rail stations, high speed rail stations, fuel stations and others.
Aspen Environmental Group will be forecasting electricity used in:• Sea ports & airports• Other off-road stationary and mobile equipment uses of electricity
in transportation6
California Energy Commission
Key Inputs Specific to On-Road Transportation Energy Demand Forecast
Energy Prices• Staff forecast of petroleum-based fuel prices is based on EIA
crude oil price forecasts. • Electricity and natural gas price forecasts are the same as those
used in the division’s electricity and natural gas demand models.
Plug in Electric Vehicles (PEV) • Vehicle prices, fuel economy, and other attributes will be
provided by Sierra Research.
Consumer Preferences• Assume these preferences remain constant, at levels assessed
by the Commission’s 2013 California Vehicle Survey7
California Energy Commission
Other Transportation Electrification Assumptions and Inputs
• No preference-based or economic models exist to forecast off-road vehicle or equipment populations.
• Aspen Environmental Group will attempt to use projections or extrapolations of present inventories from different agencies, such as ARB, EIA, ports, airports, and other existing studies of the various applications.
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California Energy Commission
Proposed Demand CasesIEPR Common Cases• High Energy Demand (low energy prices, high income)
• Mid Energy Demand (mid energy prices and income)
• Low Energy Demand (high energy prices, low income)
Transportation-Specific Demand Cases• High petroleum demand (low liquid fuel prices; high income; high CNG,
electricity & hydrogen prices)
• Low petroleum demand (high liquid fuel prices; low income; low CNG, electricity & hydrogen prices)
All Demand Cases Assume:• Vehicles: All current Fed & State regs are in place for original
equipment manufacturers, including Zero Emission Vehicles (ZEV).
• Fuels: All current Fed & State regs are in place for transportation fuel suppliers.
• Vehicle & liquid fuel prices are independent of California demand.
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California Energy Commission
Interested?Please attend the March 19, 2015 Workshop on
Inputs and Assumptions for Transportation Energy Demand Forecast
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