研究目的
To propose a method for multilevel solar potential analysis on building surfaces (rooftops, fa?ades, and windows) using ubiquitous point clouds from UAV and TLS data.
研究成果
The proposed method is valid for multilevel solar potential analysis, showing that rooftops have higher solar irradiance in spring and summer, while south-oriented fa?ades perform better in winter. Fa?ades have significant solar potential, especially in modern high buildings. Future work should include more occluding objects and accelerate processing.
研究不足
The method is mainly based on point clouds and may not fully account for occluding objects like trees and street lamps; processing speed could be optimized with parallel computing techniques.
1：Experimental Design and Method Selection:
The method involves data fusion of UAV images and TLS data to create a fusion model, followed by a ray-based shadowing analysis and solar potential calculation using an isotropic model.
2：Sample Selection and Data Sources:
One building in Wuhan, China (30°37' N, 114°08' E) with different orientations was selected. Data included UAV images captured with a Sony DSC-RX1 camera and TLS data from a RIEGL-VZ400 laser scanner.
3：List of Experimental Equipment and Materials:
UAV with camera, TLS scanner, software for data processing (e.g., Bundler SfM, PMVS, Trimble Sketchup).
4：Experimental Procedures and Operational Workflow:
UAV images were processed to generate dense point clouds and extract rooftop points; TLS data were registered and fa?ade points and windows were extracted; data were fused into a model; ray-based shadowing analysis was performed; solar potential was calculated at rooftop, fa?ade, and window levels.
5：Data Analysis Methods:
Solar position was estimated using SOLPOS Code; shadowing was analyzed with a ray-based method; irradiance was calculated with an isotropic model; results were mapped and compared.
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