About Photovoltaic Panel Xiao Liu
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About Photovoltaic Panel Xiao Liu video introduction
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6 FAQs about [Photovoltaic Panel Xiao Liu]
Where are photovoltaic panels located in China?
The photovoltaic panel areas in Hebei, Jiangsu, and Shandong were relatively large (132.84 km 2, 98.35 km 2, and 93.63 km 2), and accounted for about 63.71% of total photovoltaic panel area in the coastal regions. Moreover, these three provinces are the regions with the highest grid-connected capacity.
Are PV panels suitable for large-scale applications in China's coastal regions?
The area of PV panels in China’s coastal regions is rapidly increasing, due to the huge demand for renewable energy. However, a rapid, accurate, and robust PV panel mapping approach, and a practical PV panel classification strategy for large-scale applications have not been established.
How to extract PV panel area from crystalline silicon photovoltaic modules?
Both studies demonstrated that accurate PV panels area can be extracted using red, green, and blue band images. Therefore, we used RGB band information to extract PV panel information. The core part of crystalline silicon photovoltaic modules is the solar cell, which mostly appears in a deep blue color to enhance the absorption of sunlight [ 37 ].
How can photovoltaic power generation help China's coastal regions?
Photovoltaic power generation is an effective way for China’s coastal regions to achieve energy decarbonization and environmentally sustainable development.
What is the spatial resolution of large-scale photovoltaic panel mapping?
Limited by the spatial resolution, large-scale photovoltaic panel mapping is presently mainly dominated by the Landsat series data. The spatial resolution of Landsat is 30 m, and the pixel width is larger than the width of the photovoltaic panel, which may lead to an overestimation of the photovoltaic panel area.
What is the spatial resolution of photovoltaic power generation station data?
The photovoltaic power generation station data (PV_China_2020) in China in 2020 were obtained from the GEE platform, using the random forest algorithm. The data sources were Landsat images, and the spatial resolution was 30 m . In contrast, our PV map (2021_PV) had the higher spatial resolution of 10 m.