A simplification of weather data to evaluate daily and monthly energy needs of residential buildings.

Describes an investigation to show that the hourly, daily and monthly energy needs of simple buildings can be estimated using only limited available weather data for the location. The data needed are the mean daily maximum and mean daily minimum temperatures and the average clearness index for each month. Uses a residential building in Ottawa, Canada for the analysis, using a computer program ENERPASS.

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