2026 is regarded by the computing industry as the inaugural year of large-scale commercial AI adoption, marking the transition from small-scale computing adaptation to the construction of large-scale single-cluster ecosystems. Against this backdrop, a comprehensive energy solution has become the key to unlocking bottlenecks for AIDC enterprises.

I. The Computing Boom and the Energy Matching Challenge

“Over the past year, GW-scale intelligent computing parks have emerged as a ‘new species’ and become an important development direction for the industry — yet how to match ultra-large-scale computing capacity with the power grid remains a challenge,” noted Wu Huapeng, CEO of Chindata Group. The explosive growth in computing demand and construction scale is placing ever-higher requirements on the support capacity of new-energy systems.

This year, China’s Government Work Report incorporated ‘Compute-Power Coordination’ into the new infrastructure agenda for the first time, while explicitly setting an 80% green-electricity threshold for newly built data centers at national hub nodes. This signals that green power direct connection + AIDC energy storage is becoming the critical pathway for the large-scale deployment of AI computing capacity.

With a high proportion of green electricity integrated, campus load fluctuations are significant, thermal management is complex, and intelligent dispatching demands are high. Although mainstream energy storage companies have launched a variety of AIDC storage products, comprehensive solutions tailored to green power direct connection are still in the exploratory stage.

II. The Green Challenge Behind the AI Computing Surge

Global computing infrastructure is growing at an average annual rate exceeding 40%. Single-chip power consumption is rising from 2 kW toward 5 kW, while rack power density in intelligent computing centers has climbed from 8 kW to 500 kW or even 1 MW — a single cabinet now consumes as much electricity as a small residential community.

Projections indicate that by 2050, AI data centers will account for approximately 8% of global electricity consumption, equivalent to nearly 5 trillion kWh — a figure that dwarfs the linear expansion capacity of traditional power infrastructure, making it wholly inadequate to meet exponentially growing computing demands.

In this context, wind and solar green power alongside energy storage systems have become the cornerstone of the solution, ensuring that computing infrastructure can obtain stable, low-carbon power support even amid rapid expansion.

III. Highjoule Energy Storage: A High-Reliability Choice for Green Power Direct Connection + AIDC

Facing the stringent requirements of green power direct connection in AIDC applications, Highjoule energy storage equipment stands out as the industry’s preferred choice, thanks to its modular design, high safety performance, and intelligent management capabilities:

• Modular & Flexible Deployment: Can be flexibly combined according to campus scale, accommodating GW-level intelligent computing parks with varying load configurations.
• High-Safety LFP Cells: Reduces the risk of thermal runaway and ensures long-term stable operation.
• Intelligent Energy Management System (EMS): Enables real-time monitoring of PV generation, energy storage status, and load fluctuations, achieving coordinated dispatching across source, storage, and load.
• High-Efficiency Long-Duration Storage: Provides 2–6 hours of extended backup power, supports millisecond-level rapid power response, and ensures zero-interruption operation for computing centers.

Highjoule energy storage not only guarantees stable power supply under green power direct connection, but also provides AIDC computing parks with an economical, low-carbon, and sustainable energy foundation.

IV. Practical Cases of Green Power Direct Connection + AIDC Energy Storage

Multiple successful practices have already emerged both domestically and internationally:

• Google’s Minnesota Data Center: Deployed 1,400 MW of wind power and 200 MW of solar, integrated with a 300 MW / 30 GWh iron-air battery energy storage system to provide stable green electricity for AI facilities.
• Trina Storage Qinghai Demonstration Park: Combined wind-solar-storage-charging with a computing center to achieve 100% green electricity and zero-carbon supply.
• Inner Mongolia Ulanqab Low-Carbon Computing Base: Implemented source-grid-load-storage integrated green power direct supply, eliminating intermediary steps, reducing energy costs, and improving data center reliability.

In China, Highjoule Energy Storage has also provided solutions across multiple projects. Its energy storage containers and home/campus storage systems have been successfully deployed in telecom base stations, campus load-side applications, and distributed energy microgrids, offering reliable support for green power direct connection and compute-power coordination.

V. Technology Integration Driving Compute-Power Coordination

AIDC energy storage is evolving from a supporting role to a core facility. Highjoule storage equipment can not only directly connect with photovoltaic systems but also supports:

• Dynamic Power Augmentation: Enables dynamic adjustment in response to computing load fluctuations.
• Multi-Scenario Adaptability: Deployable across campuses, industrial sites, data centers, and telecom base stations.
• Optimized Energy Utilization: EMS-driven dispatching maximizes green electricity absorption and economic efficiency.

This integration not only addresses the ‘80% green electricity threshold’ challenge in compute-power coordination, but also provides a solid energy foundation for the large-scale commercial deployment of AI computing.

VI. In the Era of Green Power Direct Connection, Energy Storage Becomes the Accelerator of Computing

The growing contradiction between exponential computing growth and energy supply makes the green power direct connection + AIDC energy storage model an inevitable trend. Highjoule Group, leveraging its modular design, high safety, and intelligent management advantages, provides reliable energy support for data centers, intelligent computing parks, and various AI computing applications.

Under the ‘80% compute-power coordination threshold,’ choosing a proven and reliable energy storage solution will directly determine a campus’s operational efficiency, energy costs, and green compliance. Contact us to learn more!