Xilingol Photovoltaic Support

Why does China have a large-scale Solar Energy Curtailment problem?

Because China is of a large amount of the installed solar capacity, the existing large-scale solar energy curtailment problem have greatly affected the development of the solar power industry (e.g. the investors' profits) and the long-term development of the China's clean energy policy.

What is the installed capacity of photovoltaic power generation in Xinjiang?

Especially, the cumulative installed capacity of photovoltaic power generation of Xinjiang reached 9.08 GW , which is the highest one in the northwest of China. Table 4 displays the statistics of photovoltaic power generation in the northwest of China in details.

What is the installed capacity of photovoltaic power generation in China?

According to the statistics released by the National Energy Administration (NEA) in 2017, the cumulative installed capacity of photovoltaic power generation in the northwest of China was 35.03 GW , accounting for 26.89% of the total installed capacity of PV power generation in the whole country.

How will China's solar energy development affect the global solar power industry?

As China has the world's largest installed capacity of solar energy, the development of the solar power generation in China will have a profound impact on the healthy development of the global solar power industry. Based on the China's experience, the following suggestions are given for the other countries:

Will high radiation level affect solar power output in Xinjiang?

However, for the summer with high radiation level, the photovoltaic power output will be significant and the capacity of the substation will be not enough, leading to severe solar energy curtailment. Fig. 14. The power grid of an area in Xinjiang. The figure was adopted from Ref. [43, p.7, Fig. 1]. with English translation and picture replacement.

Does the NDVI-DFI response space model work in Xilingol?

Applicability of NDVI-DFI response space model The results show that using the DFI with a better correlation to fNPV instead of the SWIR32 index to construct the NDVI-DFI response space model can also accurately estimate the fPV, fNPV and fBS in the typical grassland area of Xilingol.