Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver
In assessment of the response of floating wind turbines under extreme wave conditions, structure stability and survivability is of utmost importance in the design and implementation. The experimental upwind horizontal axis floating wind turbine on a tension leg platform (TLP) setup was validated wit...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/105372 http://hdl.handle.net/10220/49533 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-105372 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1053722021-01-13T05:02:29Z Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver Chow, Jeng Hei Srikanth, Narasimalu Ng, Eddie Yin Kwee School of Mechanical and Aerospace Engineering Renewables & Low Carbon Generation (Wind & Marine) Energy Research Institute @ NTU (ERI@N) Computational Fluid Dynamics OpenFOAM Engineering::Mechanical engineering In assessment of the response of floating wind turbines under extreme wave conditions, structure stability and survivability is of utmost importance in the design and implementation. The experimental upwind horizontal axis floating wind turbine on a tension leg platform (TLP) setup was validated with the strongly coupled partitioned six degree-of-freedom rigid body motion solver (Chow and Ng 2016). After tuning of the unknown variables such as the tendon stiffness and damping coefficients with the decay tests, the system ran with the coupled fluid-motion numerical solver resulted in accurate estimations of the natural frequencies and damping ratios. Together with a modified restrain system to model the tendons, the response of the floating wind turbine under regular and focused waves simulations were found to be well-predicted. A stability analysis was performed to determine the iterations that should be ran every time step. The median of the time steps converged within 8.7 iterations. EDB (Economic Devt. Board, S’pore) Published version 2019-08-05T06:30:31Z 2019-12-06T21:50:13Z 2019-08-05T06:30:31Z 2019-12-06T21:50:13Z 2018 Journal Article Chow, J. H., Ng, E. Y. K., & Srikanth, N. (2019). Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver. Ocean Engineering, 172, 575-582. doi:10.1016/j.oceaneng.2018.12.040 0029-8018 https://hdl.handle.net/10356/105372 http://hdl.handle.net/10220/49533 10.1016/j.oceaneng.2018.12.040 en Ocean Engineering © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). 8 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Computational Fluid Dynamics OpenFOAM Engineering::Mechanical engineering |
spellingShingle |
Computational Fluid Dynamics OpenFOAM Engineering::Mechanical engineering Chow, Jeng Hei Srikanth, Narasimalu Ng, Eddie Yin Kwee Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
description |
In assessment of the response of floating wind turbines under extreme wave conditions, structure stability and survivability is of utmost importance in the design and implementation. The experimental upwind horizontal axis floating wind turbine on a tension leg platform (TLP) setup was validated with the strongly coupled partitioned six degree-of-freedom rigid body motion solver (Chow and Ng 2016). After tuning of the unknown variables such as the tendon stiffness and damping coefficients with the decay tests, the system ran with the coupled fluid-motion numerical solver resulted in accurate estimations of the natural frequencies and damping ratios. Together with a modified restrain system to model the tendons, the response of the floating wind turbine under regular and focused waves simulations were found to be well-predicted. A stability analysis was performed to determine the iterations that should be ran every time step. The median of the time steps converged within 8.7 iterations. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Chow, Jeng Hei Srikanth, Narasimalu Ng, Eddie Yin Kwee |
format |
Article |
author |
Chow, Jeng Hei Srikanth, Narasimalu Ng, Eddie Yin Kwee |
author_sort |
Chow, Jeng Hei |
title |
Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
title_short |
Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
title_full |
Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
title_fullStr |
Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
title_full_unstemmed |
Numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
title_sort |
numerical study of the dynamic response of a wind turbine on a tension leg platform with a coupled partitioned six degree-of-freedom rigid body motion solver |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/105372 http://hdl.handle.net/10220/49533 |
_version_ |
1690658475075436544 |