Estimation of the Potential Achievable Solar Energy of the Buildings Using Photogrammetric Mesh Models
Estimation of the Potential Achievable Solar Energy of the Buildings Using Photogrammetric Mesh Models
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DOI：
10.3390/rs13132484
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Yunsheng Zhang;Zhisheng Dai;Weixi Wang;Xiaoming Li;Siyang Chen;Li Chen
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文献类型：
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作者：
Yunsheng Zhang;Zhisheng Dai;Weixi Wang;Xiaoming Li;Siyang Chen;Li Chen
估算城市建筑中可能实现的太阳能对于环境保护战略的长期规划和发展具有重要意义。然而，基于激光雷达数据的传统方法往往成本高昂，并且需要多个平台才能获得完整的建筑表面信息。斜向摄影测量技术的发展使快速准确地获取地表三维信息成为可能。本文提出了一种基于摄影测量网格模型的建筑表面潜在可实现太阳能估算方法。在该方法中，我们使用摄影测量网格模型作为输入数据，然后提出一种分层算法进行阴影分析。结合太阳辐射模型，得到建筑表面潜在可实现的太阳能。我们进一步研究了该方法的性能，结果表明该方法优于多源激光雷达数据。
Estimating the potential achievable solar energy in urban buildings is significantly important for the long-term planning and development of environmental protection strategies. Nevertheless, conventional methods based on LiDAR data are often costly and require more than one platform to obtain complete building surface information. The development of oblique photogrammetry technology enables fast and accurate acquiring of the 3D information of the surface. In this paper, we propose an efficient method to estimate the potential achievable solar energy of building surfaces based on photogrammetric mesh models. In this method, we use photogrammetric mesh models as the input data and then propose a hierarchical algorithm for shadow analysis. Combined with the solar radiation model, we then obtain the potential achievable solar energy of the building surface. We further investigate the performance of the proposed method and it is shown that this method outperforms the multi-source LiDAR data.