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China becomes major global supplier of green fuel, with production capacity of 8m TOE in 2025_我的网站

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The output of green methanol reached 380,000 tons, green ammonia stood at 700,000 tons, and sustainable aviation fuel hit 1.7 million tons, making China a major global supplier, the report showed.
The NEA published the China Green Fuel Development Report (2026) on its website on Wednesday. Downstream application scenarios for green fuels in China continue to expand, with coverage extending from land transportation to the shipping, aviation and industrial sectors, the report showed.
China's green methanol production capacity accounted for 60.3 percent of the world's total in 2025, according to the report. The ratio for green ammonia was 79.5 percent.
Green fuels, represented by green methanol, green ammonia, and sustainable aviation fuel, are fuels with low carbon emissions throughout their entire life cycles and in compliance with environmental protection requirements.
In recent years, global climate governance constraints have tightened, and the global energy mix has accelerated its transition toward clean and low-carbon sources. International organizations such as the International Maritime Organization and the International Civil Aviation Organization, as well as countries and regions including the US, the EU, and Brazil, have introduced policies to promote carbon reduction in key transportation sectors.
Analysts said that China's development of green fuels not only supports deep decarbonization in key industries and addresses the bottleneck of large-scale renewable energy absorption, but also helps cultivate new drivers of economic growth. That's very significant in supporting global climate action and promoting a comprehensive green transformation of the Chinese economy and society, they said.
Although China has taken a leading position globally in green fuel production and equipment R&D, key technological equipment still requires further breakthroughs, Li Zhijian, vice president of the China National Petroleum & Chemical Planning Institute, said in a post on the NEA's website.
In particular, there remains considerable room for improvement in areas such as biomass gasification efficiency and the performance of high-efficiency synthesis catalysts - areas that urgently need focused research efforts, Li noted.
According to projections from domestic and international institutions, global green fuel demand is expected to reach about 10 million TOE by 2030 and exceed 100 million TOE by 2050, indicating vast room for industrial growth.
China, rich in renewable resources such as wind, solar, and biomass, provides a solid foundation for large-scale development of the green fuel industry, the NEA said.
China could achieve green electricity from a total installed capacity of 3.6 billion kilowatts for wind and solar power, with an annual available volume of organic waste of some 617 million tons by 2035. If reasonably used for green fuel production, this could support an industrial scale of about 10 million TOE, Li said, citing an industry estimate.
Global Times
。 (ECNS) -- The rapid growth of artificial intelligence is driving a new wave of electricity demand, putting nuclear power back in the spotlight. China, which has the world's largest nuclear power capacity under construction, is accelerating the development of nuclear energy to provide reliable, low-carbon electricity for its growing economy and emerging AI industries. According to the National Energy Administration, China has 112 nuclear units in operation or approved, with a combined capacity of 125 million kilowatts — the highest globally. Its nuclear capacity under construction also ranks first worldwide. As China continues to expand its nuclear power fleet, which province leads the country in nuclear energy? And why is China stepping up investment in the sector? Guangdong Province has emerged as China's nuclear leader. In the first half of 2026, its nuclear generation reached 57.31 billion kilowatt‑hours, supported by a complete industry chain spanning design, equipment manufacturing, construction and operation. Guangdong has also developed a complete nuclear power industrial chain spanning design, equipment manufacturing, construction and operation. The State Council recently approved the third phase of the Taipingling Nuclear Power Plant in Guangdong, marking another major step in the province's nuclear expansion following the approval of five nuclear power projects, including the Taishan project, last year. With major nuclear power bases including Daya Bay, Ling'ao, Yangjiang, Taishan and Taipingling located along its coastline, Guangdong is expected to see nuclear power generation rise significantly as new units come online, helping meet growing electricity demand from industries such as AI and data centers. Fujian Province, meanwhile, has the highest share of nuclear power in its electricity generation mix. Nuclear energy accounted for 28.1% of the province's total power generation, according to the NEA, meaning nearly three in every 10 kilowatt-hours generated in Fujian came from nuclear power. With major nuclear power bases in Ningde, Fuqing and Zhangzhou, nuclear energy has become a key pillar of Fujian's power supply. The expansion of nuclear power is being driven in part by rapidly growing electricity demand in the age of artificial intelligence. In the United States, major technology companies are also turning to nuclear energy to secure reliable, low-carbon electricity. Microsoft has signed a 20-year agreement linked to the restart of the Three Mile Island nuclear plant, while Google has announced plans to procure power from small modular reactors. As AI development drives electricity demand higher, the convergence of artificial intelligence and nuclear power is beginning to reshape the global energy landscape. China is also part of this growing "AI + nuclear power" trend. As the clean energy transition gathers pace, the country's expanding nuclear power hubs are providing a stable source of electricity to support both its digital economy and broader green transformation. (By Gong Weiwei)
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