China’s Remote Region Tries to Set Clean Power Record

Representative image. Credit: Pixabay

China’s sparsely populated northwest Qinghai Province home to the headwaters of the Yangtze and Yellow rivers is reportedly attempting to set a new record for clean energy use. The plans would serve as a test bed for the entire country.

Qinghai reportedly aims to only use green energy sources to generate electricity from June 9 to 23 to promote the use of clean energy. The electricity generated will be utilised for its population of about 6 million over the 15-day period, which would top the nine-day record that was set in 2018.

General manager Qi Taiyuan reiterated in a statement that provincial grids were further expanded and strengthened. He added that the move would create a new example of energy transition in Qinghai.

Meanwhile, it is reported that the country is trying to boost its renewable power consumption while trying to ease its reliance on coal and reduce pollution. Measures are inclusive of setting mandatory targets for clean energy use and reducing solar and wind power wastage. And according to the National Energy Administration Qinghai’s clean power use reached around 78% of total energy consumption in 2018, which was up 13% points from 2017.

In the context, Tian Miao, an analyst at Everbright Sun Hung Kai Co. in Beijing stated that the Qinghai move was like a stress test. He added that it wanted to see how an increase in solar power and wind power use would affect grids under extreme circumstances and what could be done.

The energy storage would be reportedly utilised to help level out peaks in electricity use over the period. And, the company also introduced a green power index to evaluate clean energy development in the province.

In the context, Kou Nannan, head of China research at Bloomberg NEF stated that it was an attempt to see if they could do without fossil fuels for a longer period. He added that Qinghai chose this time for the test based on weather forecasts and historical data on electricity demand and supply.

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