Yanqi New Development of Solar Power Generation
6 FAQs about [Yanqi New Development of Solar Power Generation]
Does Xinjiang have a PV potential?
The potential in Inner Mongolia accounted for 13% of the 12 provinces, which is a principal part of the PV potential in the north. From the time dimension, the PV potential of the 12 provinces decreased to different degrees from 2020 to 2030. In Xinjiang, the generation potential in 2030 is only 0.05% less than that in 2020.
What is China's new solar development goal?
4.2. Specific implementations in relevant fields The latest 12th Five-Year Plan for Renewable Energy Development in China proposed a new development goal for its solar PV industry. The central government has decided to quadruple its national solar installation target to 21 GW by 2015. The initial target set in 2011 was only 5 GW.
How has the PV industry changed in China in the 21st century?
With the advancement of PV technologies and the market demand from the European Union during the start of the 21st century, the PV industry in China seized the opportunity and rose quickly. Suntech Company and Yingli Green Energy Company built 10 MWp solar cell production lines in 2002 and 2003, respectively.
What is the development potential of solar DPG in China?
Solar DPG, especially BIPV in China, is accepted to have great development potential. Specifically, the total architecture area that can be utilized is more than 49 billion m 2, and if the fixed PV area of architecture has a share of 20%, the total capacity will reach 100 GW .
How many kilowatts of solar power will be built in 2020?
According to the Solar power development "13th Five-Year Plan", the scale of PV construction planned in different provinces vary in 2020, such as 12 million kilowatts in Inner Mongolia, Shanxi and Hebei and 6 million kilowatts in Anhui and Guangdong .
What is the future power consumption in Tibet and Qinghai & Ningxia?
In contrast, in Tibet, Qinghai and Ningxia, due to the small populations and low industrial value-added, the future predicted power consumption accounted for 7% and 8%. The supply and demand situation displayed spatial heterogeneity.
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