Lawrence Berkeley National Laboratory develops and demonstrates strategies to help data centers manage electricity demand, reduce grid strain, and support reliable, affordable growth.
Overview
Rapid growth in data center electricity demand is creating new challenges for grid planning and operations. Lawrence Berkeley National Laboratory (LBNL) applies its expertise in load flexibility to help data center operators, utilities, regulators, and grid planners address these challenges. Our work advances scalable solutions that enable data centers to respond to grid conditions while meeting operational requirements.
Our Work
Our researchers analyze electricity rate structures, utility programs, and regulatory approaches that can support data center growth and encourage flexible electricity use. We also estimate the flexibility potential of data centers across the industry and collaborate with industry partners to demonstrate solutions using optimized controls, workload management, and energy storage. Together, these efforts inform how growing data center loads can be integrated with the power grid.
Impacts
- We have developed frameworks to characterize flexibility mechanisms and relevant facility characteristics.
- Our team has multiple data center flexibility technology demonstration projects under development in partnership with industry.
- We hosted one of the first convenings on data center load flexibility in November 2024 and reported on key insights.
REFLEX brings together industry stakeholders to accelerate the near-term adoption of industrial load-flexibility technologies and practices.
The IAW FlexHub advances scalable, interoperable load-flexibility technologies across California’s industrial, agricultural, water, and data center sectors.
The Shape Maker generates customizable electricity load profiles for data center, facility, and grid planning.
LBNL studies how flexibility from data centers and other large electricity users can reduce grid impacts, improve planning, and helpmitigate potential electricity-rate increases associated with load growth.
LBNL researchers authored several articles on AI-driven data centers in the National Academy of Engineering’s Spring 2026 edition of The Bridge. The articles examine data center energy demand, flexibility mechanisms, and relevant facility characteristics.
Related Publications & Resources
