The competition is designed to bring innovative technology in marine renewable energy to enable more persistent and pervasive ocean observing, a growth multiplier in the overall contribution of the ocean to the economy also known as the Blue Economy.
The two companies teamed and submitted the Mission Unlimited UUV Station, to power and transfer data from unmanned underwater vehicles (UUV). The next phase is the Develop competition, where the winners of this prize will actually produce their designs.
Endurance and range improvements for UUVs have seen incremental improvements over the last 20 years as batteries gradually improved, but UUVs and autonomous undersea vehicles (AUVs) are still energy-limited. Typically, they must make a near surface approach at least once a day to offload data to assets above the water line or receive a power recharge by a costly surface vessel reducing the time spent on mission.
The Mission Unlimited UUV Station proposal submitted by the team can significantly reduce daily vessel costs and extends operational time, by integrating three key technologies working together to seamlessly power and transfer data from unmanned underwater vehicles:
“The Mission Unlimited UUV Station design will provide scalable underwater charging and data transfer,” said Alan Lytle, Vice President, Undersea Systems, Northrop Grumman. “Extending the endurance, working time and utility of unmanned underwater vehicles directly supports the US Navy’s focus on distributed maritime operations.”
“This DOE and NOAA prize provides a unique opportunity to combine Seatrec’s technology to harvest energy from temperature differences in the ocean with Northrop Grumman’s innovation of NiobiCon connectors and data bubbles,” said Dr. Yi Chao, founder and CEO, Seatrec. “We believe this strategic partnership will provide a transformative solution for persistent and sustainable ocean observing systems.”
The Mission Unlimited UUV Station design will increase the endurance and range of any existing UUV and dramatically reduce the data latency between collection and analysis. The proposed solution will also increase the types of data that can be collected by providing the increased power needed to improve spatial coverage, temporal resolution, and types of variables from new, higher power sensors.
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