This paper illustrates the results of daylight glare simulations of a simple office carried out using five different five weather data files (Chinese typical year weather, CSWD(C), CSWD(A), international weather for energy calculations and Meteonorm), for three Chinese locations (Beijing, Shanghai and Guangzhou). The aim is to analyse the impact of choosing one weather file or the other on the prediction of daylight glare in the interior environment. The results show that using the Chinese typical year weather and CSWD(C) files can make a better prediction of the time distribution of daylight glare than the others. Analysis of the total amount of daylight glare leads to the conclusion that the Chinese typical year weather file should be recommended when considering extreme weather conditions and the CSWD(C) or Meteonorm files should be recommended in normal weather conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.