A recent review by EPIcenter faculty affiliate Constance Crozier (School of Industrial and Systems Engineering, Georgia Institute of Technology) and Matthew Liska (School of Physics, Georgia Institute of Technology) explores the growing role of data centers in providing flexibility, the ability to shift or reduce electricity use in response to grid conditions, to the electric grid as renewable energy penetration and AI-driven computing demand surge. The authors highlight that data centers, particularly those supporting high-performance computing and AI workloads, are projected to consume nearly 10% of U.S. electricity by the end of the decade, presenting both challenges and opportunities for grid stability.

The paper examines various strategies for enhancing the flexibility of data center energy use. One approach is to use backup power systems, such as uninterruptible power supplies, to support the grid during emergencies. Another method involves rerouting computing jobs to different data centers in other locations to balance energy demand. The authors also discuss implementing smart scheduling techniques that shift workloads to off-peak hours, reducing strain on the grid. Additionally, they highlight adjusting processor speeds by lowering CPU (central processing unit) and GPU (graphics processing unit) clock rates to limit power consumption when needed. Finally, the paper suggests pre-cooling data center equipment to limit the energy required for cooling during peak demand periods. Notably, experimental evidence shows that underclocking GPUs can cut power consumption by 40% with only a 22% performance loss, suggesting technical feasibility for demand-response interventions.

Despite these technical options, the authors find that real-world cost considerations and reliability concerns limit widespread adoption. Data center operators generally do not change their behavior in response to electricity prices, as job revenue far outweighs energy costs under normal conditions. For example, a GPU rented at $2 per hour consumes only $0.04 worth of electricity at average prices, making curtailment unattractive except during extreme price spikes. Surveys indicate that operators are reluctant to compromise reliability or deploy backup systems for ancillary services. Consequently, price-based incentives alone are unlikely to drive meaningful flexibility.

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