Determining the effect of energy efficient appliances on utility residential demand
Studies have indicated that the use of Energy Efficient Appliances (EEA's) can reduce residential energy consumption by up to 30%. However, there are no reliable estimates regarding their effect on the residential demand experienced by electric utilities. In the context of a fluctuating economic and regulatory environment and increasing penetration levels of EEA's, this issue becomes more significant. Current research efforts are aimed at developing models of household energy consumption and demand to provide consumers with a means of evaluating energy conservation alternatives. These models which incorporate EEA's can be easily extended to reproduce results obtained from bus load aggregation models. This can be used to study the effect of increasing penetration levels of EEA's on utility demand. This approach to end-use demand forecasting provides an alternative modelling philosophy to current models in use and is expected to increase model fidelity and accuracy. Further, it yields models which are of use to both the consumer and the utility. This paper discusses the household models under development and their extension for aggregation.
- Research Organization:
- Virginia Polytechnic Inst. and State University, Blacksburg, Virginia
- OSTI ID:
- 5275104
- Report Number(s):
- CONF-830213-
- Journal Information:
- Energy Technol. (Wash., D.C.); (United States), Vol. 10; Conference: 10. energy technology conference, Washington, DC, USA, 28 Feb 1983
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
29 ENERGY PLANNING
POLICY AND ECONOMY
ELECTRIC APPLIANCES
ENERGY EFFICIENCY
MATHEMATICAL MODELS
POWER DEMAND
RESIDENTIAL BUILDINGS
ACCURACY
ECONOMICS
ELECTRIC UTILITIES
ENERGY CONSERVATION
ENERGY CONSUMPTION
FORECASTING
REGULATIONS
RESEARCH PROGRAMS
SIMULATION
APPLIANCES
BUILDINGS
EFFICIENCY
PUBLIC UTILITIES
320101* - Energy Conservation
Consumption
& Utilization- Residential Buildings- (-1987)
296000 - Energy Planning & Policy- Electric Power
291000 - Energy Planning & Policy- Conservation