基于无人机DSM和屋顶形状分析的日本城市地区太阳能潜力释放创新方法——以秋田市为例

Abstract We propose a novel methodology for assessing and estimating the photovoltaic power potential of urban rooftops. This research addresses the critical impact of diverse roof shapes, such as gable, hip, and other common roof types on solar irradiance distribution and panel placement suitability. Unlike conventional studies that rely on standard digital elevation model (DEM), which lacks the resolution to accurately capture roof surface complexity, this study pioneers the use of high-resolution digital surface model (DSM) generated from drone imagery to analyze solar potential. In three sample city blocks within Akita City, 127 buildings were classified into ten roof types to assess their suitability for photovoltaic (PV) installation and electricity generation potential. Flat-type roofs showed the highest suitability ratio for PV installation. However, building orientation had an even greater influence on energy generation: east-facing roofs were found to generate more energy. On average, the buildings generated approximately 0.11 MWh/m 2 of roof area. Finally, the study generalized the results from these sample city blocks to estimate the potential of the entire city on a larger scale. The results showed that approximately 0.05 MWh/m 2 of each block could be produced using rooftop solar panels.