ASSESSMENT OF URBAN ROOFTOP PV POTENTIAL BASED ON MUTIL-SOURCE DATA FUSION

Wang Na; Zhong Peijun; Meng Wenchuang; Peng Shurong; Li Bin; Su Sheng

doi:10.19912/j.0254-0096.tynxb.2023-2107

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (12) : 40-48. DOI: 10.19912/j.0254-0096.tynxb.2023-2107

ASSESSMENT OF URBAN ROOFTOP PV POTENTIAL BASED ON MUTIL-SOURCE DATA FUSION

Peng Shurong¹, Wang Na¹, Li Bin¹, Zhong Peijun¹, Su Sheng¹, Meng Wenchuang²

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Abstract

Accurate assessment of urban rooftop PV development potential is one of the key problems to be solved for urban rooftop PV construction. Most of the existing studies are limited to the assessment of urban rooftop PV potential by a single data source, such as satellite remote sensing images or geographic information, which is difficult to accurately respond to the urban rooftop PV potential under the influence of multiple factors. Considering the shadow effect, geographic location and meteorological conditions, this paper proposes an urban rooftop PV enhancement method based on the fusion of multi-source information, which mainly includes three links： roof information extraction, regional building shadow calculation and PV power generation potential calculation, and a large amount of satellite remote sensing imagery, geographic information data, meteorological data and other data are introduced into the analyses of the links, which greatly enhance the accuracy of the assessment of the urban photovoltaic potential. The accuracy of urban PV potential assessment is greatly improved. Finally, the method is applied to Changsha City as an example, and the evaluation results show that the power generation potential of urban rooftop photovoltaic in Changsha City is 14480.4 GWh, which is a large potential for development.

Key words

distributed photovoltaic / deep learning / geographic information systems （GIS） / satellite remote sensing imagery / multi-source information fusion

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Peng Shurong, Wang Na, Li Bin, Zhong Peijun, Su Sheng, Meng Wenchuang. ASSESSMENT OF URBAN ROOFTOP PV POTENTIAL BASED ON MUTIL-SOURCE DATA FUSION[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 40-48 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2107

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