@article{26117,
  keywords = {modeling, residential, appliance energy efficiency, appliances, televisions, refrigerators, energy demand modeling, regression analysis, Air Conditioners, Diffusion rates, Washing machines},
  author = {Michael A McNeil and Virginie E Letschert},
  title = {Modeling diffusion of electrical appliances in the residential sector},
  abstract = {<p>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.</p>},
  year = {2010},
  journal = {Energy and Buildings},
  volume = {42},
  pages = {783-790},
  month = {06/2010},
  doi = {10.1016/j.enbuild.2009.11.015},
}