The rapid growth of generative AI, cloud computing, and high-performance computing (HPC) is driving a significant increase in global data center electricity demand.
According to the International Energy Agency (IEA), data centers consumed approximately 415 TWh of electricity worldwide in 2024, representing around 1.5% of global electricity demand. By 2030, consumption could rise to 945 TWh, with AI expected to be a major driver of this growth.
While discussions about AI development often focus on computing power and processing efficiency, data center operators face another equally critical question:
For AI data centers, power outages involve more than temporary equipment shutdowns. It can lead to service disruptions, failed data synchronization, processing delays, and significant operational losses..
As a result, backup power is becoming increasingly important and is now a key component of data center energy planning.
As AI, large language models (LLMs), and high-performance computing continue to expand, data centers are becoming increasingly dependent on a stable and uninterrupted power supply.
A power interruption can affect not only server operations but also cloud services, data processing, and the continuity of business operations.
Similar challenges exist in other mission-critical environments, including semiconductor manufacturing facilities, hospitals, and telecommunications infrastructure. For these industries, power reliability is no longer simply a basic requirement. It is fundamental to maintaining continuous operations and service availability.
Consequently, the role of backup power is evolving. Rather than serving solely as emergency equipment activated during a blackout, backup power is becoming an integral component of the overall energy infrastructure.
When discussing backup power, generators are often the first solution that comes to mind.
However, modern data center backup power systems typically consist of multiple technologies working together, including:
Therefore, when planning backup power infrastructure, the focus is gradually shifting from selecting an individual piece of equipment to designing a complete, reliable, and integrated energy architecture.
For decades, diesel generators have been the most widely adopted backup power solutions for data centers.
Their advantages include proven technology, a broad power output range, long-duration power generation, and well-established supply chains and maintenance networks. These factors continue to make diesel generators an important backup power source for many mission-critical facilities.
However, considerations such as fuel logistics, noise, and emissions have encouraged organizations to explore alternative technologies as sustainability and carbon reduction goals become more important.
Battery Energy Storage Systems have become increasingly important in backup power architectures.
When the utility grid experiences an interruption, batteries can respond rapidly to help maintain power to critical equipment and reduce the risks associated with power transfer and switching.
However, supporting an outage lasting several hours or longer requires greater energy storage capacity. This can introduce challenges related to capital expenditure, installation space, and thermal management.
For this reason, battery energy storage is generally integrated with other backup power sources rather than operating as the sole solution for extended-duration backup requirements.
In addition to diesel generators and battery energy storage, hydrogen fuel cells are emerging as another technology of interest in the backup power market.
Fuel cells generate electricity through an electrochemical reaction between hydrogen and oxygen, rather than through combustion. When pure hydrogen is used, the primary outputs are electricity, heat, and water, offering advantages such as low noise levels and low on-site pollutant emissions.
In recent years, hydrogen fuel cells have attracted growing interest for potential applications in data centers, hospitals, telecommunications infrastructure, and microgrids.
However, the feasibility of deploying hydrogen fuel cells depends on several factors, including hydrogen availability, storage methods, system capacity, safety management, and overall costs.
In other words, the power generation equipment itself is only one part of the equation. The maturity and reliability of the entire hydrogen supply chain are often critical factors in determining whether a project is commercially viable.
At this stage, the answer is not necessarily.
Diesel generators, battery energy storage, and hydrogen fuel cells each offer distinct advantages and serve different operational requirements.
Diesel generators provide established and reliable power generation capabilities. Battery energy storage excels at rapid response and short-term power continuity. Hydrogen fuel cells, under suitable operating conditions, offer the potential to provide extended-duration independent power generation.
Therefore, the future of backup power is unlikely to involve one technology completely replacing another. Instead, different energy technologies are more likely to work together, with each fulfilling a specific role within an integrated power architecture.
Future data center backup power architectures are likely to move toward a layered approach, in which different technologies work together:
When utility power is suddenly interrupted, the UPS and battery systems respond first to maintain power to critical loads. If the outage continues, additional backup power sources can take over to sustain operations.
Within this architecture, system performance is no longer determined solely by the capabilities of individual equipment. Effective integration and coordinated operation between different energy systems are equally important.
AI is transforming industries worldwide while creating greater demands on power availability and reliability. Whether through diesel generators, battery storage systems, or hydrogen fuel cells, different technologies will continue to play important roles in future energy infrastructures.
For data centers, expanding computing capabilities is undoubtedly important. However, establishing a reliable and resilient power infrastructure is equally essential.
Only with a robust and integrated backup power architecture can data centers maintain operational continuity, mitigate power-related risks, and provide a dependable foundation for the continued growth of AI applications.
AI data centers require continuous power to support servers, cloud services, and high-performance computing workloads. Power interruptions can lead to service disruptions, data processing delays, and business losses.
Common solutions include UPS systems, Battery Energy Storage Systems (BESS), diesel generators, and hydrogen fuel cells. These technologies are often integrated to provide different levels of backup capability.
Hydrogen fuel cells can provide low-noise, zero-emission power generation while offering the potential for extended backup operation when supported by appropriate hydrogen supply and storage infrastructure.
Not necessarily. Diesel generators, battery storage systems, and hydrogen fuel cells each offer unique benefits. Future backup power architectures will likely combine multiple technologies to maximize reliability and resilience.
Source: IEA《Energy and AI》
