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Accelerating Power-Computing Coordination: Promoting the Deep Integration of Green Electricity and AI Computing Power


With the rapid development of technologies such as artificial intelligence (AI), big data, and cloud computing, the construction and operation of computing infrastructure are placing higher demands on electricity supply. How to ensure sufficient energy supply to support the continued growth of computing demand while improving the utilisation of green electricity has become an important issue for both the digital economy and the energy industry.

 

In 2026, power-computing coordination was included in the Government Work Report for the first time and incorporated into the Outline of the 15th Five-Year Plan. The documents called for the implementation of new infrastructure projects, including ultra-large-scale intelligent computing clusters and power-computing coordination, to promote the coordinated planning of green electricity and computing capacity. This marks a further recognition of power-computing coordination as an important direction for the development of digital infrastructure and the transformation of energy systems.

 

1. AI Development Is Driving Deeper Integration Between Computing and Electricity

Power-computing coordination refers to the deep integration of computing infrastructure and power systems through digital technologies, intelligent algorithms, and information networks. Its goal is to dynamically match and optimise computing demand and electricity supply, fostering a coordinated development model in which electricity supports computing and computing, in turn, supports the power system.

As AI applications continue to expand, electricity demand from data centres and intelligent computing clusters is also increasing. Computing infrastructure requires not only a stable and reliable electricity supply, but also comprehensive optimisation in areas such as electricity costs, energy efficiency, green electricity consumption, and operational flexibility.

Meanwhile, the installed capacity of renewable energy sources such as wind and solar power continues to grow. However, their output is subject to fluctuations and intermittency. Effectively connecting clean energy resources with computing loads and improving the utilisation of renewable energy have therefore become important objectives of power-computing coordination.

Power-computing coordination is consequently more than simply increasing electricity supply to data centres. It aims to establish closer links among electricity resources, computing resources, and digital dispatching capabilities.

 

2. Policy Support Is Driving the Gradual Implementation of Power-Computing Coordination

In recent years, China has continued to advance the development of an integrated national computing power network while exploring practical approaches to coordinating computing infrastructure with power systems.

In 2024, relevant government departments launched pilot initiatives for power-computing coordination across several national computing hubs and regions rich in clean energy resources. These initiatives explored approaches such as direct green power supply, complementary use of multiple energy sources, and interaction between power sources and loads. In 2025, the National Development and Reform Commission further emphasised the importance of coordinating computing and electricity development for the construction of a new-type power system.

In 2026, power-computing coordination became a key area of national-level planning. The Government Work Report called for the implementation of new infrastructure projects, including ultra-large-scale intelligent computing clusters and power-computing coordination. The Outline of the 15th Five-Year Plan further proposed promoting the coordinated planning of green electricity and computing capacity. Relevant policies also emphasise enabling AI and the energy sector to empower each other, supporting more efficient and cost-effective coordinated operations between computing facilities and power systems.

The continued advancement of these policies provides strategic direction for further exploration in infrastructure planning and construction, green electricity supply, intelligent dispatching, and electricity market mechanisms.

 

3. Power-Computing Coordination Is Driving the Coordinated Upgrading of Energy and Digital Infrastructure

The development of power-computing coordination involves multiple areas, including energy supply, computing infrastructure deployment, grid development, digital technologies, and market mechanisms.

On the one hand, computing facilities can improve their flexibility in energy consumption by optimising operational schedules, participating in demand response, and exploring cross-regional computing resource allocation. Where the necessary technical and market conditions are in place, these measures may also help support the balancing and regulation of the power system.

On the other hand, power systems can provide computing infrastructure with a stable, cost-effective, and increasingly low-carbon energy supply by strengthening grid infrastructure, optimising power supply configurations, improving renewable energy utilisation, and developing green electricity trading mechanisms.

In this process, new technical application requirements are likely to emerge in areas such as clean energy development, grid infrastructure upgrades, energy storage technologies, intelligent monitoring, and energy management systems.

It is important to note that the effectiveness of power-computing coordination depends on the grid conditions of individual projects, the characteristics of computing workloads, the geographical distribution of energy resources, dispatching capabilities, and market mechanisms. It should not be assumed that all computing loads can be transferred at any time or that all green electricity can be supplied directly to data centres.

 

4. Supporting the Green Digital Economy Through System-Wide Coordination

As AI applications continue to advance, the relationship between computing infrastructure and power systems will become increasingly close. In the future, power-computing coordination is expected to promote more rational planning of energy resources and digital infrastructure, improve power system operational efficiency and green electricity utilisation, and encourage innovation through the integration of energy and digital technologies.

For electrical equipment manufacturers and related technology companies, this trend also highlights the importance of monitoring technical requirements in areas such as grid connection, power quality, supply reliability, intelligent monitoring, and renewable energy utilisation.

 

DKNC will continue to follow developments in the power industry and technological progress related to new-type power systems. The company will also monitor development trends arising from energy infrastructure upgrades and industrial collaboration, building knowledge to support future technical exchanges and industry cooperation.

Power-computing coordination is moving the relationship between electricity and computing beyond one-way support toward deeper, two-way collaboration. As relevant technologies, infrastructure, and market mechanisms continue to improve, the integration of green electricity and intelligent computing will become an important component of the coordinated development of the digital economy and the energy transition.

 

Sources: National Energy Administration, Xinhua News Agency, People’s Daily, Digital China Summit.