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A. Mahdavi, V. Leinich, K. Orehounig:
"Implications of varying weather data sets for predictions of thermal performance of buildings";
Talk: Plea 2008 - Toward Zero Energy Building - 22-24 Ocotber 2008, Dublin, Dublin; 2008-10-22 - 2008-10-24; in: "Plea 2008 - 25th Conference on Passive and Low Energy Architecture, Dublin, 22nd to 24th October 2008", J.O. Lewis (ed.); (2008).

This paper explores the implications of different input assumptions pertaining to local
weather conditions (as represented in weather files) for computational predictions of
buildings' thermal performance. As a case in point, we used twenty two distinctive weather
files (based on meteorological data from different weather stations, different years) for the
city of Vienna to compute heating and cooling energy demands of three different buildings.
The results demonstrate the significant fluctuations in the buildings' predicted heating and
cooling energy demand due to differences in micro-climatic assumptions. We explored the
possibility to assess the impact of projected changes in standard micro-climatic indicators
such as heating degree days and cooling degree hours on the buildings' heating and cooling
loads.

heating and cooling energy demand, micro-climate, weather files, simulation