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Technology to retrofit nonpowered dams such as the Lake Sequoyah Dam in North Carolina could be tested before deploying to ensure performance and reliability. Credit: Scott DeNeale/ORNL, U.S. Dept. of Energy

Researchers at Oak Ridge National Laboratory have identified a key need for future hydropower innovations – full-scale testing – to better inform developers and operators before making major investments.

Philipe Ambrozio Dias. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.

Conduit hydropower presents opportunities in every state. Credit: ORNL, U.S. Dept. of Energy

Millions of miles of pipelines and conduits across the United States make up an intricate network of waterways used for municipal, agricultural and industrial purposes.

ORNL is studying how climate change may impact water availability for hydropower facilities such as the Shasta Dam and Lake in California. Credit: U.S. Bureau of Reclamation

ORNL has provided hydropower operators with new data to better prepare for extreme weather events and shifts in seasonal energy demands caused by climate change.

Melton Hill Dam

To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.

non-powered dam

Although more than 92,000 dams populate the country, the vast majority — about 89,000 — do not generate electricity through hydropower.

ORNL researchers deploy a gas trap to measure ebullitive (bubbling) emissions of methane at the Melton Dam in East Tennessee. The trap is deployed for ~ 24 hours to allow gas to accumulate in the trap. Credit: Carlos Jones/ORNL, US Dept. of Energy

As the United States moves toward more sustainable and renewable sources of energy, hydropower is expected to play a pivotal role in integrating more intermittent renewables like wind and solar to the electricity grid

With seismic and acoustic data recorded by remote sensors near ORNL’s High Flux Isotope Reactor, researchers could predict whether the reactor was on or off with 98% accuracy. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy

An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.

ORNL, VA and Harvard researchers developed a sparse matrix full of anonymized information on what is thought to be the largest cohort of healthcare data used for this type of research in the U.S. The matrix can be probed with different methods, such as KESER, to gain new insights into human health. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy

A team of researchers has developed a novel, machine learning–based  technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.

A large generator is installed at the Meldahl hydropower plant in Kentucky. The energy sector anticipates longer lead times in procuring such large components for increasing construction and modernization of U.S. hydropower plants. Credit: American Municipal Power

A new Department of Energy report produced by Oak Ridge National Laboratory identifies several supply chain must-haves in maintaining the pivotal role hydropower will play in decarbonizing the nation’s grid.