In recent years, renewable energy has been attracting attention around the world. Among renewable energy sources, solar power generation is recognized as one of the electric power sources that can be used for the self-consumption of the energy demand in each consumer scale as well as installing mega-solar power equipment in a wide scale. In this study, by using Light Detection And Ranging (LiDAR) and building polygon data sets, the introduction potential and the annual estimated power generation amount of rooftop solar power panels were calculated in 3 scenarios, considering the slope aspect and angle of a roof and the influence of shadows by surrounding buildings. In addition, the estimation results were compared with other estimation methods and already equipped panels. The outcome of this study could be used for the improvement of the introduction rate of solar power panels as an index for the formation of an environment-friendly society in the future.
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