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Authors Younju YoonYounju Yoon ; Jin Woo MoonJin Woo Moon ; Sooyoug KimSooyoug Kim
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(Cover Date)
Vol.22 No.4(2015-08)
Keywords Computational algorithm ; Daylight ; Annual daylight simulation method ; Radiance ; Sunmatching ; Daylight coefficient approach ; Sky patch
Abstract This study proposes computational algorithms for prediction of daylight illuminance under various daylight conditions. Five annual daylight simulation methods (ADSM) were developed for the sun and sky. Computer simulations using the ADSM were performed for a classroom with an exterior overhang. In order to validate the simulation results, the results from ADSM were compared with those by Radiance. Results indicate that the prediction by a sunmatching method and reflected daylight coefficient approach were similar to those by Radiance, when methods that consider the effect of sun were used. For the methods that consider the effect of sky, the daylight coefficient approach with four sky patches provided reliable results. The result implies that daylight coefficient approach is a useful method for the prediction of daylight illuminance under daylight conditions. Linear regression models between the results of ADSM and Radiance were acceptable with a significance level of 0.01. This implies that the ADSM can be effectively used for the prediction of indoor daylight illuminance.