[Newly installed hydropower capacity in Liangshan, Sichuan]Recently, the People's Government of Liangshan Yi Autonomous Prefecture issued the "Implementation Opinions on Promoting High-Quality Leap-forward Development of the Industrial Economy in Liangshan Prefecture". The opinions put forward that by 2027, strive to build a new installed hydropower capacity of more than 7.068 million kilowatts (excluding Jiehe), with a total of 43.318 million kilowatts. above (excluding Jiehe). Editor / Xu Shengpeng
In 2026, multiple major high-speed rail projects are accelerating and are planned to start construction within the year.
According to recent government work reports and transportation work conferences released by various provinces, the progress of ten major high-speed railway projects, including Yongqing Guangzhou, Taisui, Shanghai Hangzhou, Nanxinhe, Fuyang Huanggang, Qianji, Bao'eyu, Zhanhai, Wuhan Hub Direct Line, and Mudanjiang Dunhua, is clear. We are working hard to complete the preliminary work and strive to start construction as soon as possible. These projects have a huge total investment scale, covering multiple regions across the country, and are an important part of the national high-speed rail network construction, which will further promote regional connectivity and economic development.Editor/Gao Xue
On January 24, 2026, the Wind Energy Professional Committee of the China Renewable Energy Society predicted that the annual installed capacity of wind power in China will remain stable at about 120 million kilowatts between 2026 and 2028.
According to predictions, the cumulative newly installed wind power capacity in China is expected to reach 604 million to 979 million kilowatts between 2025 and 2030. By the end of 2025, China's wind power grid connected installed capacity is about 640 million kilowatts, with huge development potential. The industry is currently facing multiple challenges such as land resources, electricity consumption, and market returns, and needs to ensure sustainable development through technological innovation and model optimization.Editor/Gao Xue