用高分辨率影像与地形数据，精准评估印度城市屋顶光伏潜力。
Solar potential analysis over Indian cities using high-resolution satellite imagery and DEM
- 结合0.5米卫星影像与1米高程模型，考虑建筑遮挡和植被阴影。
- 结果表明城市屋顶光伏实际发电量可能损失高达50%。
- 适合关注城市光伏布局与能源规划的研究者参考。
当前多数太阳能潜力研究依赖航空影像、激光雷达及卫星数据，但现有基于卫星数据的研究往往忽略城市中树木/植被遮挡、邻近高层建筑及非规则屋顶结构的影响，且多采用分辨率较低的数据集。本文提出一种新方法，利用0.5米分辨率卫星影像、1米分辨率数字高程模型（DEM）以及印度气象局（IMD）地面站辐射数据，开展屋顶太阳能潜力分析。通过地面站数据获取的漫射比例与透射率比值进行辐射计算。研究发现，受季节变化、环境因素及太阳能板结构等技术原因影响，实际发电量可能下降高达50%。结果显示，使用1米DEM与50厘米卫星影像可在城市区域生成更真实可靠的评估结果。
原文摘要 · Abstract (English)
Most of the research work in the solar potential analysis is performed utilizing aerial imagery, LiDAR data, and satellite imagery. However, in the existing studies using satellite data, parameters such as trees/ vegetation shadow, adjacent higher architectural structures, and eccentric roof structures in urban areas were not considered, and relatively coarser-resolution datasets were used for analysis. In this work, we have implemented a novel approach to estimate rooftop solar potential using inputs of high-resolution satellite imagery (0.5 cm), a digital elevation model (1m), along with ground station radiation data. Solar radiation analysis is performed using the diffusion proportion and transmissivity ratio derived from the ground station data hosted by IMD. It was observed that due to seasonal variations, environmental effects and technical reasons such as solar panel structure etc., there can be a significant loss of electricity generation up to 50%. Based on the results, it is also understood that using 1m DEM and 50cm satellite imagery, more authentic results are produced over the urban areas.
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