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Statistical characteristics of five sets of Standard Year Weather Data in China
In this study, the statistical characteristics of five sets of Standard Year Weather Data for calculating the heat load of buildings are compared. These five sets of Standard Year Weather Data were developed by different organizations in China. The five sets of weather data are available in five cities (Beijing, Shanghai, Harbin, Kunming and Lanzhou), and the methods to create the Standard Year Weather Data sets are analysed. The monthly characteristic values of the major elements of weather data that are important for calculations of the heat load of buildings—namely, temperature, absolute humidity and solar radiation—are compared. In addition, the components of solar radiation (direct and diffuse) are analysed, and examples of the daily fluctuation of solar radiation are presented. These show a significant difference in solar radiation values among the data sets. The causes of differences among data sets are identified. As disparities among data sets are identified, useful information is provided for users of these weather data.
Statistical characteristics of five sets of Standard Year Weather Data in China
In this study, the statistical characteristics of five sets of Standard Year Weather Data for calculating the heat load of buildings are compared. These five sets of Standard Year Weather Data were developed by different organizations in China. The five sets of weather data are available in five cities (Beijing, Shanghai, Harbin, Kunming and Lanzhou), and the methods to create the Standard Year Weather Data sets are analysed. The monthly characteristic values of the major elements of weather data that are important for calculations of the heat load of buildings—namely, temperature, absolute humidity and solar radiation—are compared. In addition, the components of solar radiation (direct and diffuse) are analysed, and examples of the daily fluctuation of solar radiation are presented. These show a significant difference in solar radiation values among the data sets. The causes of differences among data sets are identified. As disparities among data sets are identified, useful information is provided for users of these weather data.
Statistical characteristics of five sets of Standard Year Weather Data in China
Lu, Siqiang (Autor:in) / Emura, Kazuo (Autor:in) / Igawa, Norio (Autor:in)
Architectural Science Review ; 53 ; 415-428
01.11.2010
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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