The Distributive Impact Assessment Model (DIAM): Technology share component
The models described in this report are used to allocate total energy consumption in an energy end-use service area by fuel type (including electricity) within the Distributive Impact Assessment Model (DIAM) framework. The primary objective of the DIAM is to provide energy consumption and expenditure forecasts for different population categories that are consistent with the US Department of Energy (DOE) Energy Information Administration`s (EIA`s) National Energy Modeling System (NEMS) forecast, which is produced annually in the Annual Energy Outlook and periodically in support of DOE policy formulation and analysis. The models are multinominal logit models that have been estimated using EIA`s 1990 Residential Energy Consumption Survey. Three models were estimated: space heating share, water heating share, and cooking share. These models are used to allocate total end-use service consumption over different technologies defined by fuel type characteristics. For each of the end-use service categories, consumption shares are estimated for a subset of six fuel types: natural gas, electricity, liquid petroleum gas, fuel oil/kerosene, wood, and other fuel.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 97176
- Report Number(s):
- ANL/ESD/TM--88; ON: DE95016470
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
03 NATURAL GAS
09 BIOMASS FUELS
10 SYNTHETIC FUELS
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
99 GENERAL AND MISCELLANEOUS
D CODES
ELECTRICITY
ENERGY CONSUMPTION
FOOD PROCESSING
FORECASTING
FUEL OILS
KEROSENE
LIQUEFIED PETROLEUM GASES
NATURAL GAS
SPACE HEATING
THEORETICAL DATA
WATER HEATING
WOOD
09 BIOMASS FUELS
10 SYNTHETIC FUELS
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
99 GENERAL AND MISCELLANEOUS
D CODES
ELECTRICITY
ENERGY CONSUMPTION
FOOD PROCESSING
FORECASTING
FUEL OILS
KEROSENE
LIQUEFIED PETROLEUM GASES
NATURAL GAS
SPACE HEATING
THEORETICAL DATA
WATER HEATING
WOOD