
Energy Storage Annual Peer Review
Assembling researchers from across national laboratories, industry, government, and academia to summarize the state of the art in energy storage research, development, and application.
July 27-30, 2026 | Registration deadline: July 21, 2026

Unlocking potential
Learn more about federal research to realize the potential of stored energy systems and technologies

Long duration energy storage stakeholder group seeks members
Join the National Consortium for the Advancement of Long Duration Energy Storage Technologies
The Energy Storage Program Mission
The goal of the Energy Storage Program is to develop advanced energy storage technologies and systems, in collaboration with industry, academia, and government institutions that will increase the reliability, performance, and competitiveness of electricity generation and transmission in the electric grid and in standalone systems.
Upcoming Events
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Recent News
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Join the 2026 Office of Electricity Energy Storage Program Annual Meeting & Peer Review!
Registration is open for the DOE Office of Electricity Energy Storage Program’s annual meeting and peer review on July 27-30 in Dallas, Texas. Join researchers and staff from national laboratories, industry, government, and academia to summarize and advance the latest energy storage research, development, and application. Read More
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Talk outlines flow battery trends for industry leaders
Flow batteries hold promise to reliably store energy for longer periods of time and at a scale and cost useful for the electrical grid. Flow batteries are designed for large-scale energy storage applications, but transitioning from lab-scale systems to practical deployments presents significant challenges. Sandia’s Will McNamara recently addressed the Battery Council International’s Flow Battery Industry Group, outlining key emerging technological trends for the flow battery sector. He emphasized… Read More
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Sandia supports development of faster battery models
Sandia researchers contributed to a new publication that describes 10x faster physics-based battery models. Accurate battery models are essential for safe control and extended lifetime of batteries in applications ranging from consumer electronics to grid energy storage. Physics-based battery models offer significantly higher accuracy in predicting battery performance, but they are typically too computationally demanding to implement… Read More
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Amid rising grid demands, supercapacitor-based energy storage technologies can help microgrids respond
Amid rising grid demands, supercapacitor-based energy storage technologies can help microgrids respond Read More
