Façade Solar Potential Analysis Using Multisource Point Cloud

  • LIANG Fuxun ,
  • YANG Bisheng ,
  • HUANG Ronggang ,
  • DONG Zhen ,
  • LI Jianping
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  • 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Engineering Research Center for Spatio-temporal Data Smart Acquisition and Application of Ministry of Education of China, Wuhan University, Wuhan 430079, China;
    3. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China

Received date: 2017-09-14

  Revised date: 2017-11-24

  Online published: 2018-03-02

Supported by

The Key Program of National Natural Science Foundation of China (No. 41531177);The National Science Foundation for Distinguished Young Scholars of China(No. 41725005);The National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2014BAL05B07);The National Key Research and Development Program of China (No. 2016YFF0103501)

Abstract

An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows.

Cite this article

LIANG Fuxun , YANG Bisheng , HUANG Ronggang , DONG Zhen , LI Jianping . Façade Solar Potential Analysis Using Multisource Point Cloud[J]. Acta Geodaetica et Cartographica Sinica, 2018 , 47(2) : 225 -233 . DOI: 10.11947/j.AGCS.2018.20170521

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