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http://dx.doi.org/10.7848/ksgpc.2020.38.2.141

Estimation of Solar Radiation Potential in the Urban Buildings Using CIE Sky Model and Ray-tracing  

Yoon, Dong Hyeon (Cal. Lab, Hypersensing Inc.)
Song, Jung Heon (Cal. Lab, Hypersensing Inc.)
Koh, June Hwan (Dept. of Geoinformatics, University of Seoul)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.38, no.2, 2020 , pp. 141-151 More about this Journal
Abstract
Since it was first studied in 1980, solar energy analysis model for geographic information systems has been used to determine the approximate spatial distribution of terrain. However, the spatial pattern was not able to be grasped in 3D (three-dimensional) space with low accuracy due to the limitation of input data. Because of computational efficiency, using a constant value for the brightness of the sky caused the simulation results to be less reliable especially when the slope is high or buildings are crowded around. For the above reasons, this study proposed a model that predicts solar energy of vertical surfaces of buildings with four stages below. Firstly, CIE (Commission Internationale de l'Eclairage) luminance distribution model was used to calculate the brightness distribution of the sky using NREL (National Renewable Energy Laboratory) solar tracking algorithm. Secondly, we suggested a method of calculating the shadow effect using ray tracing. Thirdly, LOD (Level of Detail) 3 of 3D spatial data was used as input data for analysis. Lastly, the accuracy was evaluated based on the atmospheric radiation data collected through the ground observation equipment in Daejeon, South Korea. As a result of evaluating the accuracy, NMBE was 5.14%, RMSE 11.12, and CVRMSE 7.09%.
Keywords
Solar Radiation Potential; Renewable Energy; 3D GIS; Sky Model; Ray-tracing;
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