As artificial intelligence applications expand rapidly across industrial sectors, China is moving to advance the coordinated development of computing capacity and green energy supply systems. Government bodies and energy regulators have detailed new frameworks to handle surging power demands driven by data centers, projecting significant scaling over the upcoming five-year planning cycle.
The International Energy Agency projects that global electricity consumption by data centers worldwide will nearly double by 2030 compared to 2025 levels. In response, this year's Chinese government work report highlighted the need to build hyperscale intelligent computing clusters while simultaneously pairing their rapid growth with reliable electricity generation, aiming to prevent structural grid strains and maintain operational stability.
Energy Demands of High-Performance Infrastructure
The fundamental driver behind the surge in power consumption is the immense computational load required for modern artificial intelligence training and inference. According to Tian Lei, director of the energy strategy center at the Energy Research Institute under the National Development and Reform Commission, AI calculations demand continuous, large-scale processing supported by specialized high-performance chips. A single AI chip with a power rating of approximately 700 watts can consume more than ten times the electricity of a conventional central processing unit.
"A cluster equipped with 10,000 such AI chips would require around 7 megawatts of power for the chips alone," Tian explained, detailing the raw hardware requirements. Furthermore, the operational challenges extend directly into climate control and facility maintenance. Because these high-load chips continuously generate massive amounts of heat, computing facilities must rely on extensive cooling, ventilation, and temperature-regulation systems. Even with advanced energy-saving technologies implemented across modern facilities, cooling systems consistently account for more than one-fifth of a computing center's total electricity consumption.
Scaling Projections and Grid Stability Requirements
Official figures indicate that China's computing centers consumed 170 billion kilowatt-hours of electricity in 2025, accounting for 1.6 percent of the nation's total electricity consumption. Power demand from facilities at the eight national hub nodes of China's integrated computing network has emerged as a major driver of incremental growth, posting an average annual increase of 39.5 percent over the past three years. This trajectory far outpaces the growth rate of overall domestic electricity demand.
Looking ahead, China's intelligent computing capacity reached 1.882 million petaFLOPS by the end of March, representing an expansion of roughly 2.5 times compared to the previous year. Projections for the 15th Five-Year Plan period indicate that computing sector electricity consumption will climb by more than 100 billion kilowatt-hours annually, reaching 800 billion kilowatt-hours by 2030, or approximately 6 percent of the country's total power consumption. Operating an uninterrupted 10,000-chip AI cluster requires at least 200,000 kilowatt-hours daily, while minor voltage or frequency fluctuations risk causing severe data transmission errors, necessitating exceptionally high power quality alongside pure volume.
Expanding Renewable Generation and Grid Modernization
To accommodate these demands, authorities are accelerating the rollout of new-type power grids designed to handle high penetrations of renewable energy and support complex industrial loads. Wang Hongzhi, head of the National Energy Administration, noted that China's total installed power generation capacity reached 4.01 billion kilowatts by May, accounting for nearly 30 percent of the global total and providing a stable foundation to handle rising industrial loads. Non-fossil fuel generation capacity climbed to 62 percent of the national total by the same period.
Market mechanisms have accompanied this physical infrastructure expansion. In 2025, China's cumulative green electricity trading volume reached 328.5 billion kilowatt-hours, while the national green certificate market recorded 930 million transactions. Facilities situated in data hubs such as Horinger in Inner Mongolia and Qingyang in Gansu already source over 80 percent of their operating power directly from renewable sources. Recent policy documents released by the National Energy Administration and other departments establish formal action plans to promote the mutual empowerment of artificial intelligence and the energy sector.
Industrial Digitalization and International Collaboration
Beyond infrastructural planning, the integration of data and artificial intelligence is reshaping traditional industrial operations and fostering emerging economic sectors. At the 2026 China International Big Data Industry Expo in Guiyang, projects linking hydropower, wind, and solar installations along the Wujiang River through unified digital platforms demonstrated the practical utility of algorithmic power dispatching. Fan Sheng, deputy general manager of Guizhou Wujiang Hydropower Development Co. Ltd., reported that localized forecasting models have raised wind and solar generation prediction accuracies to over 91 percent and 94 percent respectively.
The expo also highlighted international dimensions of data cooperation, featuring initiatives ranging from blockchain-based agricultural trade platforms connecting African exporters with Chinese buyers to collaborative discussions on regional language models. Organizers noted that pairing computational expansion with transparent, green energy frameworks remains essential for sustaining long-term technological development without compromising environmental targets.
