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Modeling diffusion of electrical appliances in the residential sector

Journal Article · · Energy and Buildings
OSTI ID:985912

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:
Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US)
Sponsoring Organization:
Environmental Energy Technologies Division
DOE Contract Number:
AC02-05CH11231
OSTI ID:
985912
Report Number(s):
LBNL-3729E
Journal Information:
Energy and Buildings, Journal Name: Energy and Buildings Journal Issue: 6 Vol. 41; ISSN ENEBDR; ISSN 0378-7788
Country of Publication:
United States
Language:
English