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Performance data for an axial-flow turbine with passive adaptive blades

To support the development of simulation tools for passive adaptive turbine rotors, an experimental data set from a laboratory-scale axial-flow turbine with passive adaptive blades is provided. The 0.45-meter diameter turbine was tested in the Alice C. Tyler Flume at the Universit...

Van Ness, K. et al University of Washington

May 01, 2024
1 Resources
0 Stars
Publicly accessible

TEAMER: Wave Energy Converter SIMulator (WEC-SIM) Support for an Adaptive Wave Energy Converter by Ocean Motion Technologies

Scripts from project git repo + tutorial slide deck generated for the TEAMER RFTS 1 (request for technical support) collaborative project between Ocean Motion Technologies, Inc. and Sandia National Laboratories + National Renewable Energy Laboratory. The project simulates an adapt...

Keester, A. et al Ocean Motion Technologies, Inc.

Jan 29, 2021
3 Resources
0 Stars
Awaiting release

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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Publicly accessible

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
Publicly accessible

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
Curated

Fish Detection AI, Optic and Sonar-trained Object Detection Models

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
0 Stars
Curated