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DAISY Benchmark Performance Data

This repository contains the underlying data from benchmark experiments for Drifting Acoustic Instrumentation SYstems (DAISYs) in waves and currents described in "Performance of a Drifting Acoustic Instrumentation SYstem (DAISY) for Characterizing Radiated Noise from Marine Energy...
Polagye, B. et al University of Washington
Sep 28, 2024
6 Resources
1 Stars
Curated

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

Velocity and Turbulence Measurements at Three Locations in the Salish Sea, WA, 2017

This submission contains raw and processed datasets of water velocity and turbulence measurements from 3-day deployments of Deepwater Buoyancy StableMoor buoys carrying acoustic Doppler instrumentation at locations in Rosario Strait, Bellingham Channel, and Tacoma Narrows, WA in 2...
McVey, J. and Kilcher, L. Pacific Northwest National Laboratory
Jul 24, 2017
12 Resources
0 Stars
Publicly accessible

In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow

This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...
Bharath, A. et al National Renewable Energy Laboratory
Dec 16, 2022
17 Resources
0 Stars
Publicly accessible

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

Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...
Langle, N. et al National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
0 Stars
Curated
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