Estimation Of Solar Energy Potential In Mountain Environment Based On UAV Photogrammetry

In recent years,significant progress has been made in modeling solar radiation using numerical simulation,statistics,artificial intelligence,and geographic information systems.However,many solar radiation models require many empirically determined parameters,combined with measurement tools that cannot be widely used in many fields.This paper proposes a method for estimating solar energy potential based on 2D and 3D data obtained by drones.In this research,this paper uses photogrammetry methods to calculate the digital surface model(DSM)and 3D point clouds of multiple research sites in the Ailao Mountain area,and extracts the boundary and roof models of the buildings based on the point cloud classification of machine learning.Based on these data models,the solar radiation model is used to calculate the annual solar radiation received by the roof of each building in each location.The results show that the radiation difference between different locations is the largest in July each year,and the installation location of the solar energy device is very important.In addition,this paper finds that the correlation of solar radiation between summer and winter is low,so you can consider setting different installation locations in summer and winter to generate more electricity.The solar energy potential varies greatly between different buildings and communities,and south-facing roofs are most suitable for solar applications.In addition,old urban areas often have more tree shadows than newly developed residential areas,which affects the use of solar energy.The results show that Jingdong County has a total solar power generation potential of 18,497.26 MWh,an average of 119.34 MWh per building,a total of 2,055.25 MWh per building,an average of 29.63 MWh per building,and a total of 2,619.79 MWh per building,and an average of 46.78 MWh per building.The method in this paper can be used to accurately estimate the solar power generation potential of existing stock buildings at the regional and municipal levels,and be directly applied to urban and rural planning.