With the explosive development of artificial intelligence technology, the artificial intelligence data center (AIDC), as the core of computing infrastructure, is facing unprecedented energy challenges. According to industry data, by 2024, the global

First, from the perspective of energy supply: Make up for the shortcomings of single energy storage and match the demand of AIDC's mixed high and low-frequency load

The energy consumption of AIDC has a typical bimodal characteristic: one is the basic load during daily operation, such as server standby and continuous operation of cooling systems, which require stable low-to-medium power energy supply; the other i

The core advantages of lithium-ion battery energy storage lie in its high energy density (about 150-250Wh/kg) and high charging and discharging efficiency (with a cycle efficiency of up to 90%). However, it faces issues such as strong resource scarci

The sodium-lithium collaborative technology perfectly matches the mixed load demands of AIDC through a hierarchical energy storage strategy. Lithium batteries bear the high-frequency basic load, leveraging their high energy density and high charge-di

Cost Control Dimension: Achieve Cost Reduction and Efficiency Enhancement at the Same Time to Relieve the Pressure of High Energy Cost in AIDC

Cost is one of the core pain points of AIDC operation. Currently, energy cost already accounts for 35%-50% of AIDC's total operating costs, with procurement and operation maintenance costs of energy storage systems exceeding 60%. Sodium-lithium coord

From the perspective of raw material costs, the scarcity of lithium resources has led to persistently high costs of lithium batteries. Although the global lithium carbonate price has experienced a slight decline in 2024, it still remains above 120,00

From an operational efficiency perspective, the sodium-lithium collaborative technology can reduce energy loss through dynamic charging and discharging scheduling. The load fluctuations of AIDC have regular patterns, with peak loads occurring between

III. Stability Assurance Dimension: Coping with Extreme Scenarios and Grid Fluctuations, Building a Solid Uninterrupted Computing Power Defense Line for AIDC

AIDC requires energy stability to reach 99.999% or more, which means the annual power failure should not exceed 5 minutes. However, emergencies such as extreme weather (e.g., high temperature and cold wave) and grid failures (e.g., voltage fluctuatio

On one hand, the sodium-lithium collaborative system possesses the ability to resist extreme environments. Lithium batteries are sensitive to temperature, with a capacity to decline by more than 20% in environments below -10℃, requiring additional he

On the other hand, the sodium-lithium collaborative system can serve as a "power grid fault buffer" to achieve "seamless switching". When the power grid suddenly loses power, the lithium battery can start discharging in 0.1 seconds thanks to its "mil

Section 4: Sustainable Development Dimension: Align with the “Double Carbon” Goals and Promote the Transition of AIDC from “High Carbon” to “Low Carbon”

Driven by the global double carbon goals, AIDC, as an industry with high energy consumption, faces strict carbon emission constraints. By 2024, China has explicitly required that the PUE (energy usage efficiency, which is the ratio of total energy co

From the perspective of resource recycling, it is easier to recover sodium batteries than lithium batteries. Lithium battery recovery requires complex extraction processes, which are costly (approximately 8,000 yuan per ton) and prone to secondary po

From the perspective of low-carbon power supply, the sodium-lithium collaborative system can be deeply integrated with renewable energy (wind power and photovoltaic). The energy demand of AIDC is stable, while wind power and photovoltaic power have i

Given the continuous growth in artificial intelligence computing power requirements, the energy challenges faced by AIDC are no longer issues that can be addressed by a single technology but require a systematic approach with multi-technology collabo