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Control-based optimization for tethered tidal kite

This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting control-based techniques to maximize effectiveness of a tethered tidal kite. Below are the abstracts of each file included in the submission. Cobb...

Vermillion, C. et al North Carolina State University

Mar 02, 2020
3 Resources
0 Stars
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Automated Fish Detection and Wildlife Tracking for Marine Energy Applications: Final Report and Review

This submission contains two technical resources produced for the U.S. Department of Energy Water Power Technologies Office (WPTO) that evaluate and advance automated methods for underwater wildlife detection, tracking, and monitoring around marine energy systems. The project anal...

Slater, W. et al Booz Allen Hamilton Inc.

Dec 08, 2025
2 Resources
0 Stars
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TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly max...

Zou, S. et al Michigan Technological University

Mar 07, 2025
7 Resources
0 Stars
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Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) Dataset

The dataset contains the data from the field deployment of the Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) system at PNNL-Sequim test site in 2017. The dataset contains scanning of manmade models of baracuda and turtles as well as technical target placed in the field of v...

Dalgleish, F. and Ouyang, B. Florida Atlantic University

Sep 22, 2023
9 Resources
0 Stars
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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
1 Stars
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Version 2 Tidal Energy Resource Characterization, Velocity and Turbulence Measurements, Cook Inlet, AK, 2021

Version 2 of MHKDR submission #475, which also contains the metadata for these measurements. Files here are stored in netCDF4 format, which can be read in Python using the "netcdf4" or "xarray" packages or in MATLAB using the "ncread()" function. Changes are as follows: MWM1 (mi...

Kilcher, L. and McVey, J. Pacific Northwest National Laboratory

Jul 01, 2021
9 Resources
0 Stars
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Modeling the Integration of Marine Energy into Microgrids Wave Resource Assessment

This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; ...

Mankle, H. and Robertson, B. University of Alaska Fairbanks

Jan 19, 2023
9 Resources
0 Stars
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RivGen Controller Performance Raw Data, Igiugig, AK

Contains raw data for operations of Ocean Renewable Power Company (ORPC) RivGen Power System in Igiugig 2015 in Matlab data file format. Two data files capture the data and timestamps for data, including power in, voltage, rotation rate, and velocity. Location, Descripti...

McEntee, J. Ocean Renewable Power Company

Dec 18, 2015
2 Resources
0 Stars
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TEAMER: Weekly Reports for Environmental Monitoring and Data Analysis around a Tidal Energy Converter in Sequim Bay, WA

This dataset includes weekly reports pertaining to the Turbine Lander and Lander Adaptable Monitoring Package (LAMP) deployments in Sequim Bay, WA (2023-2024). Optical and sonar images and videos pertaining to all identified events of interest have been uploaded to a separate MH...

Murphy, P. et al MarineSitu

Jul 22, 2025
3 Resources
0 Stars
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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
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LCOE Baseline for RME Surge WEC Device

This submission includes all the data to support an LCOE baseline assessment for the Resolute Marine Energy (RME) Surge WEC device.

Previsic, M. et al Re Vision Consulting

Jul 19, 2017
4 Resources
0 Stars
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ALFA: SWIFT Buoy Data Under Extreme Wave Conditions at the Newport South Energy Test Site

Full data set (six deployments) from the Surface Wave Instrument Float With Tracking (SWIFT) buoy deployments at the Newport South Energy Test Site during extreme wave events.

Thomson, J. Northwest National Marine Renewable Energy Center

May 01, 2017
1 Resources
0 Stars
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HERO WEC V1.0 Electrical PTO Deployment Data and Analysis

This submission includes the processed and raw field electrical data from NREL's August 2022 HERO WEC (hydraulic and electric reverse osmosis wave energy converter) deployment at Jennette's Pier for the electrical PTO (power take-off).

Nakhai, A. et al National Renewable Energy Laboratory

Aug 12, 2022
4 Resources
0 Stars
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TriFrame Mount Structural Performance Period A

Long-Term TriFrame Monitoring System (LTTFMS) data collected during Period A (13 days 10/22/20 11/4/20). The central component of the Verdant Power Free Flow System is a three-bladed horizontal-axis turbine. The turbine is equipped with a composite rotor with three fixed-pitch bl...

Colby, J. et al Verdant Power Inc.

Nov 12, 2021
1 Resources
0 Stars
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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
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Evaluation of a Wave Powered Water Pump Performance by Ocean Field Testing and WEC-Sim Modeling

This submission from AMEC (the Atlantic Marine Energy Center) includes data from an ocean field deployment of a wave powered water pump in March 2023. The wave pump is an upweller device, designed to enhance macroalgal aquaculture. The wave pump device was deployed off the coast ...

Kimball, C. et al University of New Hampshire, Atlantic Marine Energy Center (AMEC)

Mar 21, 2023
3 Resources
0 Stars
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TEAMER: Cross-flow Turbine Hydrodynamics

The objective of this work is to validate RANS and LES computations of cross-flow turbine hydrodynamics using laboratory scale measurements. Validation involves the comparison of time-and phase averaged performance metrics and flowfields across the widest practical range of turbin...

Athair, A. et al University of Washington (NNMREC)

Mar 25, 2025
7 Resources
0 Stars
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Turbine Lander Deployment in Sequim Bay (2023-2024): Optical and Sonar Records of Animal Interactions

This dataset contains environmental monitoring data collected during the deployment of the Turbine Lander, a small-scale vertical-axis, cross-flow turbine (1.19 m x 0.85 m) in the inlet to Sequim Bay, Washington. The turbine was deployed for 141 days between October 2023 and March...

Bassett, C. and Cotter, E. University of Washington Applied Physics Laboratory

Mar 07, 2024
6 Resources
0 Stars
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ORPC RivGen Hydrokinetic Turbine Wake Characterization

Field measurements of mean flow and turbulence parameters at the Kvichak river prior to and after the deployment of ORPC's RivGen hydrokinetic turbine. Data description and turbine wake analysis are presented in the attached manuscript "Wake measurements from a hydrokinetic river ...

Thomson, J. and Guerra, M. University of Washington

Feb 27, 2018
4 Resources
0 Stars
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TEAMER: Underwater Target Detection Software Demonstration on the RivGen Turbine

This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the underwater target detection software demonstration on the RivGen turbine project and to reproduce the performance metric...

Joslin, J. et al MarineSitu

Dec 17, 2024
4 Resources
0 Stars
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Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...

Kilcher, L. National Renewable Energy Laboratory

May 18, 2015
18 Resources
0 Stars
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Experimental Wave Desalination Data with Variable Feed and Pressure Input

This is the raw data collected from various experiments seeking to characterize reverse osmosis membrane performance under dynamic feed conditions (i.e., varying feed pressure and flow rate) such as those that might be experienced in a wave desalination system. This data was colle...

Sitterley, K. et al National Renewable Energy Laboratory

Jul 29, 2025
8 Resources
0 Stars
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TEAMER: Tidal Turbine Test, Downeast Turbines, July 12, 2021

Downeast Turbines tested a tidal turbine prototype with novel rotor/channel system and lateral effluent discharge apparatus (LEDA), during five days of testing in the flume at Alden Lab. Three days of testing (July 12-14, 2021) focused on turbine power metrics of torque and rpm, w...

McBride, G. Downeast Turbines

Mar 26, 2022
6 Resources
0 Stars
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Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing....