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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
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M3 Wave DMP/APEX WEC Final Technical Report

This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...

Morrow, M. et al M3 Wave

May 31, 2018
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Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation

The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system confi...

Luo, F. et al Stony Brook University

Jul 17, 2023
6 Resources
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Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code Archive

Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings Part II: Motion Correction" doi: 10.1175/JTECH-D-16-0213.1. The links point to Python source code used in the publi...

Kilcher, L. et al National Renewable Energy Laboratory

Feb 01, 2011
11 Resources
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Spooling control design for flight optimization of tethered tidal kites

This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting different control-based techniques to maximize the efficiency and robustness of a tethered energy-harvesting kite. Below are the abstracts of each ...

Daniels, J. et al North Carolina State University

Sep 16, 2019
3 Resources
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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
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Control of an AUV with deployable energy-harvesting kite

This paper examines the control of an autonomous underwater vehicle (AUV) with a deployable energy-harvesting kite for oceanographic observation and surveillance. The proposed design and control strategies specifically address objectives of achieving high-payload, long-endurance A...

Reed, J. et al North Carolina State University

Sep 02, 2019
1 Resources
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Cone Penetration Tests at the PacWave South Test Site

This ZIP archive contains cone penetration test data from the PacWave South Test Site. The data were collected in September 2023 aboard the ship Seacor Lee operating out of the Port of Newport, OR. The tests were performed by ConeTec using an AP van den Berg ROSON-100. The cone it...

Evans, M. Pacific Marine Energy Center (PMEC)

Sep 07, 2023
6 Resources
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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
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Optimal kite control in spatiotemporally varying flow fields ACC 2021

Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on tether elevation angle control in a spatiotemporally varying environment, and Reed et....

Vermillion, C. et al North Carolina State University

Sep 14, 2020
2 Resources
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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
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Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid...