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With support from partners, the U.S. Department of Energy’s I AM Hydro Prize awarded $175,000 in cash prizes to 11 teams for their novel concepts to apply new advanced manufacturing techniques for hydropower.

Upstream Tech used machine learning and satellite data to develop more accurate streamflow forecasts that will help hydropower developers and regulators make more informed decisions about future hydropower projects and operations.

Newly compiled “data stories” from river basins across the United States highlight the importance of accessible and usable water data to inform decision-making processes.

New tool provides environmental and energy stakeholders with a systematic and transparent method for identifying the potential environmental impacts of a hydropower project.

HydroSource, an online platform developed by ORNL to house hydropower data, makes significant improvements and implements new datasets, tools, and other resources for hydropower researchers and decision makers.

The research team behind the HydroPASSAGE project worked directly with users to enhance the utility of two toolsets and ensure the adoption of tools to support environmental and operational decision making.

Oak Ridge National Laboratory and Pacific Northwest National Laboratory partner to create the framework for a digital representation of hydropower systems to inform plant operations and decision making.

Triton team completes tests to inform recommendations for cost-effective, off-the-shelf technologies and methods for environmental monitoring at marine energy sites.

A new online database maps out scientific and regulatory data for marine energy regulators and developers to accelerate and reduce the cost of permitting.