From the explosive growth of AI computing centres to the steadily rising proportion of renewable energy connected to the grid, the power system is facing unprecedented structural pressures. In this stress test, energy storage technology is evolving from a ‘supporting role’ to a ‘core component’ of the system.

I. AI’s ‘power hunger’ is pushing the power system to its limits

Artificial intelligence is not a ‘light-asset industry’; whether for model training or large-scale inference applications, it relies on a continuous, high-density and uninterrupted power supply.

Relevant reports indicate that a single large-scale AI model training session consumes nearly as much electricity as an average American household does in an entire year; moreover, the power consumption during the inference phase after a model goes live is often several times that of the training phase. As applications such as search, content generation and intelligent decision-making become widespread, global daily AI computing requests have reached hundreds of billions.

More critically, the growth rate of AI electricity consumption far exceeds that of traditional loads.

It is projected that by 2028, AI-related electricity consumption will account for 3–5% of global electricity generation, and in some developed countries, this figure may even approach 10%. This implies that even with continued growth in installed power generation capacity, the power system may still face a structural bottleneck characterised by ‘sufficient computing power but insufficient electricity’.

II. The electricity challenge has shifted from ‘whether power can be generated’ to ‘whether it can be supplied reliably’

Traditionally, resolving power shortages has often been equated with ‘building more power stations’; however, driven by both AI and renewable energy, this approach is gradually proving ineffective.

On the one hand, AI data centres have extremely demanding power supply requirements:

High continuity

Stable voltage and frequency

Extreme sensitivity to power cuts and fluctuations

On the other hand, renewable energy generation is inherently intermittent and volatile.

Photovoltaic power is affected by day and night cycles and weather conditions, whilst wind power is constrained by climatic factors; this presents new challenges for the power system in terms of ‘structural stability’.

It is precisely in this context that energy storage has begun to serve as a crucial buffer layer connecting computing demand with the power system.

III. Energy Storage Technology: The Role of the Power System’s ‘Stabiliser’ Is Being Redefined

The value of energy storage is no longer limited to ‘storing electricity’.

In the new power system, it fulfils multiple system functions:

Peak shaving and valley filling: Mitigating peak demand caused by AI and industrial loads

Stabilising output: Offsetting fluctuations in renewable energy generation

Enhancing supply reliability: Providing power buffers for critical loads

Participating in ancillary services such as frequency and voltage control: Improving the overall operational efficiency of the grid

Electrochemical energy storage, in particular, offers advantages in terms of cost, deployment flexibility and response speed, making it the technology pathway with the greatest potential for large-scale deployment at present.

IV. From “Whether or Not to Have Energy Storage” to “Whether Energy Storage Possesses System Capabilities”

In recent years, the installation of energy storage has increased significantly, but the focus of attention has been quietly shifting.

The discussion now is no longer about “whether or not to install energy storage”, but rather whether, once installed, it can truly be put to good use.

In scenarios such as AI data centres, industrial and commercial parks, and renewable energy hubs, if energy storage is simply left standing alone as a ‘backup battery’, its value cannot be fully realised. A truly meaningful energy storage system must be integrated into the entire power consumption ecosystem:

It must be sufficiently stable and reliable to withstand operational demands;

It must coordinate with the grid, loads and generation sources, rather than operating in isolation;

It must also be subject to centralised dispatch, continuous monitoring, and even ongoing optimisation based on operational performance.

It is precisely in response to these requirements that the ‘synergistic capabilities of energy storage and AI’ have come to the fore; energy storage is no longer merely a piece of equipment, but a component within the system that actively participates in decision-making.

V. Energy Storage + AI Synergy: Making the Power System ‘Smarter’

AI not only consumes electricity, but is also reshaping the power system itself.

Through AI algorithms, energy storage systems can achieve:

Load forecasting and energy consumption optimisation

Intelligent battery health diagnostics

Coordinated dispatch of multiple storage units

Fault prediction and O&M optimisation

In practical applications, these capabilities are gradually becoming standard features of high-quality energy storage systems.

Amid this trend, competition among energy storage equipment manufacturers is shifting from a focus on hardware specifications alone to a focus on system integration and intelligent capabilities.

VI. From a practical project perspective, enterprise-grade energy storage requires ‘long-term, reliable solutions’

In applications such as commercial and industrial energy storage, renewable energy integration, and data centres, users are increasingly concerned with one key question:

Can this energy storage system operate reliably for over 10 years?

This is also the core focus that Highjoule(HJ Group) Energy Storage places particular emphasis on during the solution design phase.

In terms of energy storage electrical architecture and system integration, Highjoule(HJ Group) Energy Storage prioritises:

Modular system design, facilitating scalability and adaptability to multiple scenarios

Mature and reliable Battery Management Systems (BMS) and Energy Management Systems (EMS), supporting precise scheduling

Safety redundancy design tailored for high-load and critical load scenarios

Interoperability with systems such as photovoltaic installations, charging infrastructure and microgrids

This design philosophy transforms energy storage from a ‘passive device’ into a vital node capable of participating in the operational logic of the power system.

VII. During the Power System Upgrade Phase, Energy Storage is Becoming a ‘Core Capability’

From ultra-high-voltage transmission and smart grid construction to the advancement of ‘integrated generation, grid, load and storage’, the power system is undergoing a profound restructuring. Energy storage is precisely the pivotal fulcrum in this restructuring process.

Particularly against the backdrop of the continuous emergence of new loads such as AI, high-end manufacturing and data centres,

those who can deploy energy storage more effectively will be better equipped to cope with future power uncertainties.

This is also a key reason why an increasing number of enterprises are proactively incorporating energy storage into their overall energy planning for new projects.

When electricity becomes the foundation of computing power, energy storage acts as the system’s safety valve.

Competition in the AI era may appear to be a contest of algorithms and chips, but at its core, it is a contest of energy system stability and dispatch capabilities. Energy storage technology serves not only as a ‘stabiliser’ for the high-proportion integration of renewable energy but also as an indispensable ‘infrastructure’ for high-quality energy consumption scenarios.

If you are interested in:

The systematic application of PV and energy storage

Energy stability in AI, high-end manufacturing or commercial and industrial settings

Safer, more reliable and more scalable energy storage solutions

Then why not take a moment to explore Highjoule(HJ Group)’s system-level approach? It may offer you fresh insights and guidance. We welcome your enquiries!