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StingRAY WEC Risk Register
Risk Registers for major subsystems of the StingRAY WEC completed in compliance with the DOE Risk Management Framework developed by NREL.
Rhinefrank, K. Columbia Power Technologies, Inc.
Feb 24, 2017
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
CODAS Data from Oliktok Point, Beaufort Sea, Alaska
Cryosphere/Ocean Distributed Acoustic Sensing (CODAS) data collected from the Beaufort Sea, Alaska, using ~37.4 km of dark telecommunications fiber located at Oliktok Point, Alaska. Data were collected with a Silixa iDAS, using 10 m gauge length, 2 m spatial resolution, and 1000 H...
Baker, M. and Abbott, R. Sandia National Laboratories
Aug 08, 2023
23 Resources
0 Stars
Publicly accessible
23 Resources
0 Stars
Publicly accessible
Fish Detection AI, sonar image-trained detection, counting, tracking models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
0 Stars
In progress
6 Resources
0 Stars
In progress
StingRAY Structural Optimization Final Technical Report Appendices
The protected data appendices to the public Final Technical Report.
The overall project objective is to materially decrease the leveled cost of energy (LCOE) of the Columbia Power (CPower) StingRAY utility-scale wave energy converter (WEC). This will be achieved by reducing stru...
Lenee-Bluhm, P. Columbia Power Technologies, Inc.
Aug 05, 2020
16 Resources
0 Stars
Awaiting release
16 Resources
0 Stars
Awaiting release
Fish Detection AI, optic and sonar-trained object detection models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Slater, K. et al Water Power Technology Office
Jun 25, 2014
12 Resources
0 Stars
In progress
12 Resources
0 Stars
In progress
UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary
This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...
Wosnik, M. et al National Renewable Energy Laboratory
Dec 21, 2021
30 Resources
0 Stars
Publicly accessible
30 Resources
0 Stars
Publicly accessible