Inner Mongolia leads world in energy storage

The market is also demanding longer duration capabilities. While the average storage duration was around 2.5 hours at the end of 2025, four-hour storage has now become the mainstream, and eight-hour long-duration storage is moving from demonstration to commercial application. This shift ensures that "giant power banks" don't just respond quickly, but can actually sustain the grid through the entire evening peak.

As the technology matures, the application boundaries of energy storage are expanding far beyond the traditional power grid. A new and highly lucrative frontier has emerged: the intersection of energy storage and artificial intelligence computing power.

In the era of AI large models, a massive global "compute-power race" has sparked acute anxiety over electricity consumption. A single 10,000-GPU computing cluster can consume roughly 100 million kWh of electricity annually.

While tech giants in the West are resorting to isolated gas turbines or small nuclear plants to power their AI ambitions, China is leveraging its robust wind, solar and storage ecosystems to pioneer a "compute-power and electricity synergy" model.

Inner Mongolia is at the absolute forefront of this revolution.

Ulaanqab, a city once known primarily for its grasslands and potatoes, is rapidly transforming into one of the Asia-Pacific's largest and fastest-growing AI computing clusters.

In under two years, the region's computing power has nearly quadrupled. Tech titans including Huawei, Alibaba, ByteDance and Kuaishou have poured hundreds of billions of yuan into the region.

Why Inner Mongolia? The answer lies in a golden formula: abundant and cheap green electricity, a cold climate that allows for natural cooling up to 10 months a year, and proximity to the Beijing-Tianjin-Hebei region, ensuring network latency of under five milliseconds.

Here, energy storage is the linchpin that makes green computing possible. At the Zhongjin Data zero-carbon computing base in Ulaanqab — the nation's first "source-grid-load-storage" integrated project directly connecting green power to data centers — a 300,000 kW wind and solar facility is paired with 45,000 kW of energy storage.

"On our intelligent control platform, wind, solar, storage and computing interact in real time," said Li Chunxiao, the base's operations manager. "When the wind is strong and sunlight is ample, we compute more. When nature pauses, energy storage steps in." This model ensures stable power supplies for training large AI models while keeping green electricity usage at an impressive 85 percent.

To support the insatiable energy appetite of future gigawatt-level AI centers, local zones are pioneering "incremental distribution network+ direct green power" zero-carbon parks. By developing centralized wind and solar projects paired with massive storage, these parks aim to stabilize the direct supply of green electricity at over 80 percent, effectively turning green electrons into AI "tokens".

Looking ahead to the 15th Five-Year Plan, the trajectory for Inner Mongolia's energy storage sector is one of high-end, intelligent and globalized growth. Liu Yong, deputy director of the energy storage branch of the China Industrial Association of Power Sources, predicts that the industry will maintain a robust annual growth rate of 25 to 30 percent between 2026 and 2030.

"The future will be shaped by a virtuous cycle: demand drives innovation, innovation empowers the industry and the industry secures market returns," Liu said.

For the enterprises driving this boom, the core competitiveness is no longer simply about manufacturing capacity or shipment volumes. The ultimate victors will be those who can provide the most reliable, sustainable and high-value system solutions tailored to real-world scenarios — whether that means surviving a Gobi sandstorm, smoothing out a fluctuating power grid or keeping the world's most advanced AI models running through the night.