SATELLITE IMAGE-BASED ASSESSMENT OF DISTRIBUTED PV POTENTIAL ON URBAN ROOFS
Combined with the development of photovoltaic technology at the municipal level and the characteristics of different land uses in the city.Satellite images are used to identify building areas suitable for installing distributed photovoltaic technology in various regions of Changsha City.Based on the sun's altitude and azimuth angles,the shadow of buildings on the roof is analyzed through mountain shadows to calculate the rooftop photovoltaic carrying capacity of the area.Conduct research on distributed photovoltaic planning for market side,manufacturers,and power grid departments.The experiment provides a clear geographical list and available area for the photovoltaic construction party and the power grid through identification results,as well as a prediction of the newly added distributed photovoltaic installed capacity based on actual construction projects,providing new solutions to the problem of insufficient land for distributed photovoltaic power stations.
renewable energydistributed power generationdeep learningsemantic segmentationsatellite imagery
NETL
NSTL
万方数据
