China Sets the Pace for Green AI: Beijing Leads Global Standard for Computing-Power-Electricity Synergy

China has successfully initiated a new international standard project at the ITU focusing on the integration of computing power and electricity for smart cities. This framework aims to solve the energy-intensity problems of the AI age by synchronizing data center demand with green energy supply.

Aerial view of a modern cityscape in China with roads, buildings, and greenery.

Key Takeaways

  • 1China's National Data Development Research Institute is leading the ITU-T SG20 standard for computing-power-electricity synergy.
  • 2The standard focuses on creating a framework for sustainable smart cities to optimize energy use in data infrastructure.
  • 3The project includes research into green power direct-supply mechanisms and low-cost energy solutions for AI clusters.
  • 4The move positions China as a primary architect of the international rules governing 'green' digital growth.

Editor's
Desk

Strategic Analysis

The convergence of computing and energy represents the next frontier of global infrastructure competition. As AI models grow exponentially more power-hungry, the ability to manage the 'energy-to-compute' pipeline will determine national economic competitiveness. By leading this ITU standardization, China is executing a 'standards-first' strategy—defining the technical requirements and frameworks before the global market matures. This allows Chinese technology providers to gain a significant first-mover advantage, as international smart city projects adopting these ITU standards will naturally align with Chinese hardware and software ecosystems. Furthermore, it reflects China's desire to lead the 'Green Digital' narrative, decoupling its massive data expansion from carbon emissions through superior systemic integration.

China Daily Brief Editorial
Strategic Insight
China Daily Brief

China has secured a pivotal role in shaping the future of smart city infrastructure through the International Telecommunication Union (ITU). At a recent meeting of the ITU-T Study Group 20, a Chinese-led proposal titled "Requirements and framework of computing and electricity synergy for sustainable smart cities and communities" was officially approved for立项 (project initiation). This initiative, spearheaded by the National Data Development Research Institute, marks a significant step in Beijing's ambition to set the global benchmarks for the dual evolution of digital and energy networks.

The concept of "Computing-Power-Electricity Synergy" (suandian xietong) addresses a critical challenge of the artificial intelligence era: the staggering energy consumption of data centers. By integrating computing infrastructure directly with power grid management, cities can optimize energy loads and utilize renewable sources more effectively. This framework aims to harmonize the peak demands of high-performance computing with the fluctuating supply of green energy, potentially lowering costs and carbon footprints simultaneously.

China's focus on this specific technical intersection is a calculated move to export its domestic successes. The country has already invested heavily in the "East-West Computing" (Dongshu Xisuan) national project, which relocates data processing to energy-rich western provinces. Developing international standards through the ITU allows China to translate this domestic operational expertise into a global technical language, ensuring that its architectural preferences become the industry standard for sustainable urban development.

Moving forward, the National Data Development Research Institute plans to collaborate with global stakeholders to refine technical specifications and promote pilot projects. The roadmap includes researching low-cost direct supply mechanisms for green power and building collaborative platforms for cross-border technological breakthroughs. The ultimate objective is to foster a global industrial ecosystem where computing power and energy systems function as a single, efficient, and market-ready organism.

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