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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
PacWave South SeaRAY k2 Risk Registers
The SeaRAY is a deployable power system for maritime sensors, monitoring equipment, communications, unmanned underwater vehicles, and other similar payloads. This project is to design, deliver, and test a prototype low-power WEC that lowers the total cost of ownership and provides...
Lenee-Bluhm, P. Columbia Power Technologies, Inc.
Sep 29, 2023
12 Resources
0 Stars
Awaiting release
12 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
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging
The data presented is for the fixed and floating configurations of Halona WEC tested in regular and irregular waves. The results include differential pressure data, WEC motion, mooring line tension, and surface elevation. The findings of these results are presented in Ulm, Huang, ...
Ulm, N. et al University of Hawaii at Manoa
Mar 01, 2021
44 Resources
0 Stars
In curation
44 Resources
0 Stars
In curation
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