Modeling diffusion of electrical appliances in the residential sector
This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Environmental Energy Technologies Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 985912
- Report Number(s):
- LBNL-3729E; ENEBDR; TRN: US201017%%81
- Journal Information:
- Energy and Buildings, Vol. 41, Issue 6; Related Information: Journal Publication Date: June 2010; ISSN 0378-7788
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
AIR CONDITIONERS
APPLIANCES
CONSTRUCTION
DEVELOPING COUNTRIES
DIFFUSION
ECONOMIC DEVELOPMENT
ENERGY CONSUMPTION
ENERGY DEMAND
GREENHOUSE GASES
HOUSEHOLDS
INCOME
INTERPOLATION
MITIGATION
REFRIGERATORS
REGRESSION ANALYSIS
RESIDENTIAL SECTOR
STANDARD OF LIVING
WASHING
Energy demand modeling
Residential
Appliances
Refrigerators
Washing machines
Televisions
Air conditioners
Diffusion rates
Regression analysis