China is making big moves to modernize its energy system. Instead of just setting policies, the country is using artificial intelligence to improve how power is generated, distributed, and used daily. These efforts are happening on the ground, not just in offices or labs, with real projects showing AI’s impact.

AI in Action at Renewable Power Plants

One clear example is a factory in Chifeng, a city in northern China. The plant produces hydrogen and ammonia using electricity from nearby wind and solar farms. Unlike traditional plants connected to the main grid, this one runs on a closed system that relies entirely on renewable energy. But renewable power can be unpredictable, changing with the weather. To keep things running smoothly, the factory uses an AI control system developed by Envision.

The software acts like a conductor, constantly adjusting how much electricity the plant uses based on real-time weather conditions. When the wind blows stronger, the system ramps up production to make full use of the available power. When conditions weaken, it reduces electricity consumption to avoid overloads. This way, the plant stays efficient despite the variability of renewable energy sources. Experts say this approach helps stabilize production and makes renewable energy more practical for industrial use.

Broader Strategies for a Greener China

Projects like this are part of China’s bigger plan to develop hydrogen and ammonia as clean fuels. These fuels are seen as crucial for industries like steelmaking and shipping, which are hard to decarbonize. Using AI to manage renewable power is also a key part of China’s strategy to handle the growing share of wind and solar energy on its grid. The country is adding more renewable capacity than any other nation, but integrating all that clean energy remains a challenge.

Researchers believe AI can play a vital role in solving these problems. For example, it can help track emissions, forecast electricity supply and demand, and optimize grid operations. However, there are concerns too. AI and data centers require a lot of energy themselves, which could increase overall power consumption. Experts warn that balancing the benefits of AI with its energy costs will be important as China pushes forward.

China’s AI-Driven Energy Plans for the Future

In September, Beijing announced an “AI+ energy” strategy to deepen the connection between artificial intelligence and the energy sector. The plan includes developing large AI models focused on managing grid operations, power generation, and industrial processes. The government aims to launch many pilot projects by 2027 and test AI across more than 100 different use cases.

Within three years after that, officials want China to reach a leading position worldwide in integrating AI into energy systems. The focus will be on creating specialized tools that handle specific tasks, like managing wind farms, nuclear plants, or balancing the grid. These tools aim to make energy systems more flexible, efficient, and capable of handling the complexities of a renewable-heavy grid.

This push shows China’s commitment to using technology to meet its climate goals and build a cleaner, more sustainable energy future. By combining AI with renewable energy, China hopes to improve efficiency, reduce emissions, and lead in green innovation on the global stage.

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