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February 2026
How To Crack the Wave Energy Code
MODAQ 2 offers marine energy developers the data they need—reliably collected in a scalable platform that is ready for the ocean.
January 2026
From Beta to Data: Marine Energy Analysis Tool Is Now Stable and Ready
A team of national laboratory researchers recently released version 1.0 of the Marine Hydrokinetic Toolkit (MHKiT).
NLR and Blip Energy Collaborate on Smart Home Battery System
Drop-in solution benefits from laboratory expertise through Wells Fargo Innovation Incubator to cut electric bills and strengthen grid reliability.
December 2025
NLR Analysis Identifies Reservoir Thermal Energy Storage as a Solution for Data Center Cooling Needs
A techno-economic analysis performed by researchers at NLR has demonstrated a system to cool data centers more efficiently and inexpensively via reservoir thermal energy storage.
September 2025
Safer Batteries, Reliable Power: Guiding Research for Next-Generation Energy Storage
A recent Nature perspective authored by NREL researchers takes a closer look at the current landscape of battery safety research, emphasizing new risks and opportunities of up-and-coming energy storage technologies.
NREL Researchers Build World’s Fastest, Low-Cost, Ultraefficient Silicon Carbide Power Module
How will the world meet rising energy demands? NREL researchers have an answer in the form of the Ultra-Low Inductance Smart power module, nicknamed ULIS.
Cooler Buildings, Stronger Grid: A New Approach to Air Conditioning With Built-In Energy Storage
The Energy Storing Efficient Air Conditioner is a game-changing technology developed by NREL in collaboration with Blue Frontier Inc. that can lower a building’s electricity bills and help reduce demand on the grid.
July 2025
NREL Modeling Shows Geothermal and Borehole Thermal Energy Storage Can Reliably Heat Buildings in Extreme Cold
New energy storage research from NREL has demonstrated a way to store and reuse heat underground to meet the heating demands of cold regions like Alaska.
June 2025
A Deeper Look at Hidden Damage: Nano-CT Imaging Maps Internal Battery Degradation
NREL researchers are exploring an alternative method in direct recycling, which aims to preserve and refurbish battery components for a more efficient and cost-effective process.
Artificial Intelligence Models Improve Efficiency of Battery Diagnostics
NREL researchers have developed and demonstrated a groundbreaking physics-informed neural network (PINN) model that can predict battery health nearly 1,000 times faster than traditional models.
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Last Updated May 5, 2025