Evaluation of stochastically generated weather datasets for building energy simulation

摘要

In this study, three different Typical Weather Years (TWYs) generated in Meteonorm using different techniques are compared with each other and with an actual hourly climate dataset of a calendar year. The impact of different hourly weather files on building's annual energy needs is then assessed via dynamic simulations of a typical building. The analysis revealed that Typical Meteorological Months and the corresponding TWYs may vary significantly as different statistical processes have been followed for their development. Comparing the actual monthly average values with the corresponding values of the TWYs revealed peakdifferences up to 45% during the heating period. Regarding the performance of the three stochastically generated TWYs, differences on annual energy use for heating and cooling purposes were found up to 9.3% and 13%, while the mild actual winter conditions resulted in lower heating energy needs, varying by 42%-47%, depending on the TWY.