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 University of Washington. Blade and rotor loads were measured at 1 kHz using six-axis force/torque sensors while deflection and twist at the blade tip were tracked using a high-speed camera. This data submission includes a technical report, the raw and processed experimental data, and a README file explaining the file/folder structure and where to find the processing/plotting scripts used to produce the figures in the technical report.
Citation Formats
TY - DATA
AB - 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 University of Washington. Blade and rotor loads were measured at 1 kHz using six-axis force/torque sensors while deflection and twist at the blade tip were tracked using a high-speed camera. This data submission includes a technical report, the raw and processed experimental data, and a README file explaining the file/folder structure and where to find the processing/plotting scripts used to produce the figures in the technical report.
AU - Van Ness, Katherine
A2 - Crisp, Corey
A3 - Polagye, Brian
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/2403493
KW - marine energy
KW - flume testing
KW - axial-flow turbine
KW - bend-twist coupling
KW - current turbine
KW - tidal energy
KW - passive adaptive
KW - current energy
KW - blade deformation
KW - horizontal-axis
KW - lab-scale
KW - raw data
KW - processed data
LA - English
DA - 2024/05/01
PY - 2024
PB - University of Washington
T1 - Performance data for an axial-flow turbine with passive adaptive blades
UR - https://doi.org/10.15473/2403493
ER -
Van Ness, Katherine, et al. Performance data for an axial-flow turbine with passive adaptive blades. University of Washington, 1 May, 2024, Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/2403493.
Van Ness, K., Crisp, C., & Polagye, B. (2024). Performance data for an axial-flow turbine with passive adaptive blades. [Data set]. Marine and Hydrokinetic Data Repository. University of Washington. https://doi.org/10.15473/2403493
Van Ness, Katherine, Corey Crisp, and Brian Polagye. Performance data for an axial-flow turbine with passive adaptive blades. University of Washington, May, 1, 2024. Distributed by Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/2403493
@misc{MHKDR_Dataset_549,
title = {Performance data for an axial-flow turbine with passive adaptive blades},
author = {Van Ness, Katherine and Crisp, Corey and Polagye, Brian},
abstractNote = {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 University of Washington. Blade and rotor loads were measured at 1 kHz using six-axis force/torque sensors while deflection and twist at the blade tip were tracked using a high-speed camera. This data submission includes a technical report, the raw and processed experimental data, and a README file explaining the file/folder structure and where to find the processing/plotting scripts used to produce the figures in the technical report.},
url = {https://mhkdr.openei.org/submissions/549},
year = {2024},
howpublished = {Marine and Hydrokinetic Data Repository, University of Washington, https://doi.org/10.15473/2403493},
note = {Accessed: 2025-04-23},
doi = {10.15473/2403493}
}
https://dx.doi.org/10.15473/2403493
Details
Data from May 1, 2024
Last updated Jul 17, 2024
Submitted Jun 5, 2024
Organization
University of Washington
Contact
Katherine Van Ness
Authors
Keywords
marine energy, flume testing, axial-flow turbine, bend-twist coupling, current turbine, tidal energy, passive adaptive, current energy, blade deformation, horizontal-axis, lab-scale, raw data, processed dataDOE Project Details
Project Name Performance data for an axial-flow turbine with passive adaptive blades
Project Lead Carrie Schmaus
Project Number 10174
