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Numerical research of an effective measure for stabilising floating wind turbines in shallow water

Lookup NU author(s): Dr Wenxian YangORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

In order to stabilise floating wind turbines, an innovative motion stabilisation measure is proposed and verified here through conducting a series of numerical researches with the aid of SESAM. In the research, the numerical model of a spar-supported 5 MW floating turbine was developed first to investigate its motion stability in different depths water and under different wave conditions. Then, a new concept of motion stabiliser is proposed, which consists of a number of heave plates that are connected to floating turbine foundation via structural arms. The influences of both the number of heave plates and their arm length on motion reduction are then investigated in order to explore an optimal design of the proposed stabiliser. Considering the dynamic motions of a floating turbine is mainly affected by sea waves, the motion stabilising capability of the proposed stabiliser is investigated over a wide range of wave period 4–36 s. It has been found that after using the proposed motion stabiliser, both the pitch and heave motions of the floating turbine are successfully limited within the most range of wave period, especially when the wave period exceeds 12 s.


Publication metadata

Author(s): Yang W, Tian W, Peng Z, Wei K, Feng Y, Qiu Y

Publication type: Article

Publication status: Published

Journal: Journal of Engineering

Year: 2019

Volume: 2019

Issue: 18

Pages: 4703-4707

Print publication date: 15/03/2019

Online publication date: 20/06/2019

Acceptance date: 09/01/2019

Date deposited: 26/06/2019

ISSN (electronic): 2051-3305

Publisher: The Institution of Engineering and Technology

URL: https://doi.org/10.1049/joe.2018.9307

DOI: 10.1049/joe.2018.9307


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Funding

Funder referenceFunder name
11632011
2017JJ4017
2018JJ4048
MSV201702

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