Toggle Main Menu Toggle Search

Open Access padlockePrints

Comparison of different dynamic model methods for floating wind turbines

Lookup NU author(s): Professor Zhiqiang Hu

Downloads


Licence

This is the final published version of an article that has been published in its final definitive form by AIP, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

There are different approaches utilized to establish dynamic models for floating offshore wind turbines, but their distinction and applicability are often confusing. This paper presents the theories about four different dynamic models developed for simulating floating wind turbines, including a single-rigid-body model, a corrected single-rigid-body model, a multi-rigid-body model, and a multi-rigid-flexible-body model. Subsequently, a series of comparisons between these four dynamic models are conducted to assess their differences and applicability for simulations of floating wind turbines. The results show that the multi-rigid-flexible-body model is most accurate but most time-consuming. In most cases, the multi-rigid-body model performs as well as the multi-rigid-flexible-body model, except for the aeroelastic effects and global dynamic responses caused by the vibration of a flexible tower and blades. In contrast, the single-rigid-body model has relatively simple methodologies for establishment in the dynamic model of floating wind turbines and has less computational cost. However, it has some internal limitations, for instance, limited degrees of freedom, neglecting deformation fields, neglecting aeroelastic effects and neglecting gyroscopic effects, etc. Hence, the corrected single-rigid-body model is proposed that performs better than the original single-rigid-body model at the cost of a little time-consumption.


Publication metadata

Author(s): Chen J, Hu Z, Liu G, Tang Y

Publication type: Article

Publication status: Published

Journal: Journal of Renewable and Sustainable Energy

Year: 2017

Volume: 9

Online publication date: 08/12/2017

Acceptance date: 16/11/2017

Date deposited: 23/11/2017

ISSN (electronic): 1941-7012

Publisher: AIP

URL: https://doi.org/10.1063/1.5002750

DOI: 10.1063/1.5002750


Altmetrics

Altmetrics provided by Altmetric


Share