The role of weather data files in Climate-based Daylight Modeling

被引：46
作者：
Bellia, Laura [1 ]
Pedace, Alessia [1 ,2 ]
Fragliasso, Francesca [1 ]
机构：
[1] Univ Naples Federico II, Dept Ind Engn, Naples, Italy
[2] Univ Palermo, Dept Energy Informat Engn & Math Models, I-90133 Palermo, Italy
来源：
SOLAR ENERGY | 2015年 / 112卷
关键词：
Dynamic daylight simulations; Weather data files; Dynamic daylight performance metrics; Indoor environment quality; METRICS; DESIGN; IMPACT;
D O I：
10.1016/j.solener.2014.11.033
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper illustrates the results of daylight simulations of a simple standalone office carried out using different weather data files (IWEC, Meteonorm, Satel-Light and TRY), for five European locations (Copenhagen, LOndon, Milan, Nancy, Rome). The aim was to analyze the impact of choosing one weather file or another on the prediction of daylight availability in an indoor environment. Results were analyzed both in terms of Annual and Monthly Light Exposures and dynamic daylight performance metrics. It was demonstrated that IWEC, Meteonorm and Satel-Light weather files determine similar outcomes, instead TRY weather data always produces considerably lower values. Moreover the differences between the results obtained with the different weather files appear more significant considering Annual and Monthly Light Exposures, whereas they decrease when analyzing illuminances with a statistical approach (DA, DAcon, UDI). (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：169 / 182
页数：14
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