Zhejiang Pioneers Low-Carbon Power-Computing Coordination to Strengthen Grid Resilience Across Asia-Pacific

In line with the agenda of the 2026 APEC Chairmanship Year, the International Seminar on Enhancing Power Grid Resilience was held in Hangzhou on June 8-9. The event brought together experts and stakeholders to exchange cutting-edge technologies and practical approaches for strengthening grid resilience, contributing to the development of a secure, resilient and sustainable energy system across the Asia-Pacific region.

During the seminar, Angela Wilkinson, Secretary General and Chief Executive Officer of the World Energy Council (WEC), led a delegation to visit the Zhejiang Provincial Energy Big Data Center. She highly commended the center's achievements in integrating province-wide energy data resources, developing innovative applications based on real-time monitoring systems, and supporting energy transition and carbon reduction efforts through data-driven solutions.

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The Zhejiang Provincial Energy Big Data Center has integrated more than 98 billion energy data records covering electricity, coal, oil and natural gas. It combines diverse information sources, including real-time power flow data and power generation data from energy facilities. Leveraging this extensive data foundation, the center has launched a pilot program for low-carbon computing power scheduling.

The initiative is supported by time- and region-specific electricity carbon emission factors certified by four authoritative domestic and international organizations: SGS, China Classification Society (CCS), DNV and TUV NORD. By accurately measuring variations in electricity-related carbon emissions across different regions and time periods, the system uses carbon signals to guide computing resource allocation, achieving both computing power growth and low-carbon development objectives.

On May 25, State Grid Zhejiang Electric Power successfully completed the flexible migration of large-scale AI training workloads during peak demand periods from the Yangtze River Delta Data Center in Jiashan, Jiaxing, to the National Digital Qinghai Green Big Data Center.

Power generation in eastern China relies relatively more on thermal power, resulting in higher electricity-related carbon emissions for data centers. In contrast, western China benefits from abundant renewable energy resources and naturally cool climatic conditions, giving its data centers a significantly lower carbon footprint.

Through spatial scheduling, AI computing tasks were dynamically shifted from high-carbon-emission nodes in eastern China to lower-carbon-emission nodes in western regions during peak periods. This approach reduced carbon emissions per AI token by 62% while increasing resource utilization by 30%. Through temporal scheduling, workloads were transferred to midday periods when photovoltaic generation peaks and electricity carbon emission factors are at their lowest, reducing carbon emissions by approximately 36%.

This model has established a best-practice approach for coordinating cross-regional computing resources with power and carbon management, helping balance the rapid growth of AI computing demand with carbon reduction objectives. It represents a pioneering example of integrating the "East Data, West Computing" strategy with coordinated power and carbon management.

Looking ahead, State Grid Zhejiang Electric Power will continue strengthening its electricity-carbon data infrastructure and refining algorithm models. The company is expanding the application of time- and region-specific electricity carbon emission factors across industries, industrial parks, enterprises and products, while continuously improving the accuracy and accessibility of electricity-carbon data services.

Building on its mature experience in coordinated power-computing scheduling, Zhejiang is developing scalable solutions to address rising electricity demand, surging computing power requirements and increasing complexity in energy system operations. These innovations will help enhance grid resilience and provide practical, replicable best practices for improving the ability of power systems across the Asia-Pacific region to withstand disruptions and manage emerging risks.

(Author: Zhang Tao)
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