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TEAMER: MADWEC Techno-Economic Analysis
The objective of this project was for the facility to conduct a techno-economic assessment (TEA) of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth). MADWEC is used for powering remote monitoring a...
Ortega, T. and Baca, E. National Renewable Energy Laboratory
Mar 08, 2024
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Laboratory Upgrade Point Absorber (LUPA) CAD Files
The Laboratory Upgrade Point Absorber (LUPA) is an open-source wave energy converter designed and tested by Oregon State University. The computer-aided design (CAD) files are provided here in two forms: the original SOLIDWORKS (2021) model as "LUPA SOLIDWORKS.zip" and as a STEP fi...
Beringer, C. et al Oregon State University
Nov 04, 2024
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
H3 StingRAY Final Design and Technical Report Section 13 Appendices
These documents are referenced in the public version of the H3 StingRAY Final Design and Technical Report (Linked Dataset can be found in Resources section, below), and are submitted separately to allow for public release of head document. The display names have the corresponding ...
Lenee-Bluhm, P. and Prudell, J. Columbia Power Technologies, Inc.
Sep 15, 2023
53 Resources
0 Stars
Awaiting release
53 Resources
0 Stars
Awaiting release
2023 Risk Management Plan and Register for Low-Power WEC for Non-Grid Applications
This is an updated risk management plan and risk register for the design, build and test of a novel, remote, low-power wave energy converter (WEC) for non-grid applications. This Columbia Power Technologies project seeks to develop a prototype low-power WEC that lowers the total c...
Hammagren, E. et al Columbia Power Technologies, Inc.
Jun 14, 2023
17 Resources
0 Stars
Awaiting release
17 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
Curated
12 Resources
0 Stars
Curated