Residential end-use energy planning system (REEPS). Final report
The Residential End-Use Energy Planning System (REEPS) is described. REEPS is a forecasting model of residential energy patterns that is capable of evaluating the impacts of a broad range of energy conservation measures. REEPS forecasts appliance installations, operating efficiencies, and utilization patterns for space heating, water heating, air conditioning, and cooking. Each of these decisions is sensitive to energy prices, mandatory policies, and household/dwelling and geographical characteristics. The parameters of these choice models have been estimated statistically from national household survey data. The structure of the choice models and the results of the statistical analysis are reported in detail. REEPS forecasts energy choices for a large number of market segments representing households with different socioeconomic, dwelling, and geographical characteristics. These segments reflect the joint distribution of characteristics in the population. Aggregate forecasts are generated by summing up the decisions for all population segments. This technique provides a consistent method of obtaining aggregate forecasts from disaggregate, nonlinear choice models. Moreover, it permits evaluation of the distributional impacts of prospective conservation policies. The results of simulation of REEPS are described. REEPS forecasts a moderate rise in electricity consumption per household and significant drops in other fuels. These are caused in part by high market penetrations of electric appliances which themselves reflect major shifts in relative energy prices.
- Research Organization:
- Cambridge Systematics, Inc., Berkeley, CA (USA)
- OSTI ID:
- 5187498
- Report Number(s):
- EPRI-EA-2512; ON: DE82906444
- Country of Publication:
- United States
- Language:
- English
Similar Records
Household appliance choice: revision of REEPS behavioral models. Final report
REEPS: simulating residential response
Related Subjects
29 ENERGY PLANNING
POLICY AND ECONOMY
RESIDENTIAL BUILDINGS
COMPUTERIZED SIMULATION
ENERGY CONSUMPTION
AIR CONDITIONING
APPLIANCES
DEMOGRAPHY
EFFICIENCY
ENERGY CONSERVATION
FOOD PROCESSING
FORECASTING
PLANNING
SPACE HEATING
WATER HEATING
BUILDINGS
HEATING
PROCESSING
SIMULATION
320101* - Energy Conservation
Consumption
& Utilization- Residential Buildings- (-1987)
291000 - Energy Planning & Policy- Conservation
292000 - Energy Planning & Policy- Supply
Demand & Forecasting