Articles | Volume 10, issue 7
https://doi.org/10.5194/wes-10-1211-2025
Special issue:
https://doi.org/10.5194/wes-10-1211-2025
Research article
 | 
02 Jul 2025
Research article |  | 02 Jul 2025

Experimental validation of parked loads for a floating vertical axis wind turbine: wind–wave basin tests

Md. Sanower Hossain and D. Todd Griffith

Related authors

Flutter behavior of highly flexible blades for two- and three-bladed wind turbines
Mayank Chetan, Shulong Yao, and D. Todd Griffith
Wind Energ. Sci., 7, 1731–1751, https://doi.org/10.5194/wes-7-1731-2022,https://doi.org/10.5194/wes-7-1731-2022, 2022
Short summary
Parked and operating load analysis in the aerodynamic design of multi-megawatt-scale floating vertical-axis wind turbines
Mohammad Sadman Sakib and D. Todd Griffith
Wind Energ. Sci., 7, 677–696, https://doi.org/10.5194/wes-7-677-2022,https://doi.org/10.5194/wes-7-677-2022, 2022
Short summary
System-level design studies for large rotors
Daniel S. Zalkind, Gavin K. Ananda, Mayank Chetan, Dana P. Martin, Christopher J. Bay, Kathryn E. Johnson, Eric Loth, D. Todd Griffith, Michael S. Selig, and Lucy Y. Pao
Wind Energ. Sci., 4, 595–618, https://doi.org/10.5194/wes-4-595-2019,https://doi.org/10.5194/wes-4-595-2019, 2019
Short summary

Related subject area

Thematic area: Wind technologies | Topic: Offshore technology
Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data
Simon Daenens, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowé, and Jan Helsen
Wind Energ. Sci., 10, 1137–1152, https://doi.org/10.5194/wes-10-1137-2025,https://doi.org/10.5194/wes-10-1137-2025, 2025
Short summary
Estimating microplastic emissions from offshore wind turbine blades in the Dutch North Sea
Marco Caboni, Anna Elisa Schwarz, Henk Slot, and Harald van der Mijle Meijer
Wind Energ. Sci., 10, 1123–1136, https://doi.org/10.5194/wes-10-1123-2025,https://doi.org/10.5194/wes-10-1123-2025, 2025
Short summary
A new gridded offshore wind profile product for US coasts using machine learning and satellite observations
James Frech, Korak Saha, Paige D. Lavin, Huai-Min Zhang, James Reagan, and Brandon Fung
Wind Energ. Sci., 10, 1077–1099, https://doi.org/10.5194/wes-10-1077-2025,https://doi.org/10.5194/wes-10-1077-2025, 2025
Short summary
Sensitivity analysis of numerical modeling input parameters on floating offshore wind turbine loads in extreme idling conditions
Will Wiley, Jason Jonkman, and Amy Robertson
Wind Energ. Sci., 10, 941–970, https://doi.org/10.5194/wes-10-941-2025,https://doi.org/10.5194/wes-10-941-2025, 2025
Short summary
Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine
Ana Fernandez-Navamuel, Nicolas Gorostidi, David Pardo, Vincenzo Nava, and Eleni Chatzi
Wind Energ. Sci., 10, 857–885, https://doi.org/10.5194/wes-10-857-2025,https://doi.org/10.5194/wes-10-857-2025, 2025
Short summary

Cited articles

Ahsan, F., Griffith, D. T., and Gao, J.: Modal dynamics and flutter analysis of floating offshore vertical axis wind turbines, Renew. Energ., 185, 1284–1300, 2022. a, b
Ancellin, M. and Dias, F.: Capytaine: a Python-based linear potential flow solver, J. Open Source Softw., 4, 1341, https://doi.org/10.21105/joss.01341, 2019. a, b
CACTUS (Code for Axial and Cross-Flow TUrbine Simulation): sandialabs/CACTUS, GitHub [code], https://github.com/sandialabs/CACTUS, last access: 29 June 2025. a
Carmo, L., Bergua, R., Wang, L., and Robertson, A.: Validation of Local Structural Loads Computed by OpenFAST Against Measurements From the FOCAL Experimental Campaign, in: International Conference on Offshore Mechanics and Arctic Engineering, vol. 87851, V007T09A048, American Society of Mechanical Engineers, 2024. a
Cole, A., Fowler, M., Zangeneh, R., and Viselli, A.: Development of a New Federally Funded Wind/Wave/Towing Basin to Support the Offshore Renewable Energy Industry, in: SNAME American Towing Tank Conference, West Bethesda, Maryland, USA, D011S003R006, SNAME, 2017. a
Download
Short summary
The document presents an experimental study on the parked loads of floating vertical axis wind turbines (VAWTs) in a wind and wave basin, focusing on the effects of wind speed, solidity, and floating platform dynamics. Findings show that higher wind speed and higher solidity generally increase the parked loads, while a floating platform introduces additional effects due to tilting. A semi-numerical model was also presented to predict the parked loads, which helps enhance VAWT design.
Share
Special issue
Altmetrics
Final-revised paper
Preprint