UII UPDATE 499 | JUNE 2026
Modern IT systems, particularly AI workloads, are pushing rack densities well beyond legacy infrastructure limits, while simultaneously increasing load volatility. This, in turn, increases both cooling demand and cooling variability. For large sites with tens of megawatts of design load, a further consideration is that the availability of electrical power capacity has become the primary capacity constraint. This is renewing interest in thermal energy storage (TES), not simply as an energy efficiency and resiliency measure, but as a way to shave peak cooling demand to unlock additional IT capacity within the substation power envelope.
The concept is not new. Commercial buildings have used chilled water and ice storage systems for decades to shift cooling power consumption to off-peak periods. Some data centers have already invested in similar capabilities in suitable locations, but adoption has been limited. What is changing is that the business case has become more compelling. AI training workloads, for example, introduce large transient peaks on top of already densified compute environments, while utilities across major data center markets struggle with interconnection delays, limited transmission capacity and rising demand charges.
Together, these conditions are making cooling flexibility more valuable. Rather than focusing only on reducing total energy consumption to lower the bill, many operators are increasingly interested in lowering total peak electrical power requirements by shifting cooling energy consumption.
Traditional enterprise data centers typically operated with relatively stable cooling loads. Mechanical systems (such as compressors, pumps and fans) were sized for peak demand and operated continuously with limited variation. AI compute-heavy environments are changing that assumption.
GPU clusters supporting model training can drive rapid fluctuations in cooling demand, particularly during high-intensity computational periods. In the standard engineering approach, infrastructure is sized for maximum load in design day conditions, operating at 100% load capacity at the highest ambient temperature assumed. However, in most cases, these are only short-duration, infrequent peaks, leaving portions of the electrical and cooling system substantially underutilized for most of their operating cycle.
TES provides a way to buffer these peaks. Cooling capacity can be generated during periods of lower IT demand and/or when temperatures are lower, to be stored for later use. During peak events, stored cooling can supplement or partially replace chiller operation, reducing the maximum of instantaneous electrical demand from the cooling plant. Depending on temperature set points, system design and climatic conditions, mechanical systems can represent more than 30% of the IT load at peak operation. TES can substantially lower this power overhead by spreading out cooling capacity more evenly.
This TES capability is becoming increasingly relevant in regions where power availability constrains data center growth. In U.S. markets such as Northern Virginia, Texas, and European hubs including Dublin and Frankfurt, data center capacity growth is constrained by limited grid capacity and interconnection timelines that often extend several years. Reducing peak cooling demand can free up more of the available electrical capacity for IT equipment.
The value proposition is therefore shifting. Historically, TES was primarily a tool for optimizing utility cost. Increasingly, it is being viewed as a strategy for managing capacity.
TES is typically integrated at the chilled water plant level, upstream of CRAHs, CRACs or liquid cooling distribution systems. Most deployments use either chilled water storage or ice-based storage systems. Less commonly, thermal storage systems may use a different proprietary phase-change material. This report focuses on chilled water and ice systems:
Table 1 summarizes the primary differences between chilled water and ice-based TES configurations.
Table 1 Comparing chilled water and ice-based thermal energy storage

Most data center deployments favor a parallel configuration, where TES operates alongside the chiller plant rather than replacing it. Chillers, storage, or a combination of both serve the cooling load depending on conditions, preserving design redundancy while giving operators flexibility to reduce peak chiller demand when it matters most.
As shown in Figure 1, supply-side integration is the preferred connection point: during discharge, pre-cooled water enters the distribution loop directly, delivering an immediate reduction in peak electrical load. Return-side integration is possible and can improve chiller efficiency by pre-cooling return water before it re-enters the plant. However, it does not reduce chiller operation during peak periods and is better viewed as an efficiency measure rather than a capacity one.
Figure 1 TES parallel configuration, chilled water loop integration

Several factors are increasing interest in thermal energy storage among data center operators:
Although thermal storage is not new, its role in data centers is changing as operators contend with AI-driven cooling variability and growing power constraints. Rather than functioning primarily as an energy efficiency tool, TES is increasingly being evaluated as a means to shift cooling demand and increase usable IT capacity within fixed electrical limits. The most significant recent development is not the underlying technology itself, but the operating environment around it. AI workloads, constrained utility infrastructure and emerging modular storage products are creating conditions that may support broader adoption than thermal storage has historically seen in data centers.