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Analysis of the Typical Meteorological Data and the Weighting Factor of TRY  

Yoo, Ho-Chun (School of Architecture, University of Ulsan)
Lee, Gwan-ho (School of Space Design, Ulsan College)
Park, So-Hee (School of Architecture, Graduate School, University of Ulsan)
Kim, Kyoung-Ryul (School of Architecture, Graduate School, University of Ulsan)
Publication Information
Journal of the Korean Solar Energy Society / v.27, no.4, 2007 , pp. 157-165 More about this Journal
Abstract
Typical meteorological data is fundamental to computer simulation introduced for environment-friendly architecture designs. Therefore, in order to improve accuracy of computer simulation, typical meteorological data should be established. By examining how to choose typical meteorological data, this study selected the optimized weight factor for TRY where weighting factor was not clearly set. As a result, the same weighting factor was applied to each climatic element and TRY data where the weight factor was applied could have the distribution very similar to measurement data. The weighting factor is considered to reflect geographical characteristics of Seoul and applied climatic elements.
Keywords
Typical Meteorological Data; TRY(Test Reference Year); Weighting Factor;
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