Toggle Main Menu Toggle Search

Open Access padlockePrints

Coupled aero-hydro-servo-elastic methods for floating wind turbines

Lookup NU author(s): Professor Zhiqiang Hu

Downloads


Licence

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


Abstract

To meet the demand of the development of floating wind turbines, coupled aero-hydro-servo-elasticmethods were developed and then were programmed as an integrated code DARwind (short for DynamicAnalysis for Response of Wind Turbines) for simulating floating wind turbines. This paper firstpresents the theoretical background, including Kane's dynamical equations in combination with theCardan angles method, the hybrid coordinate dynamic analysis method, and the adjacent array approachfor kinematics and kinetics. The blade element/momentum method with aerodynamic corrections wasused for aerodynamic simulation. Potential-flow theory, the second-order wave forces and the Morisonformula with the strip theory were used for hydrodynamics, and a quasi-static mooring modellingapproach was developed for the catenary mooring system. A generator-torque controller and a full-spanrotor-collective blade-pitch controller were adopted for control strategies. The code was then verified bya series of code-to-experiment comparisons, including the mooring system, the structural elasticity, theaerodynamic performance, the hydrodynamic performance and the control strategy. The comparisonsdemonstrated that the coupled aero-hydro-servo-elastic methods have a satisfactory ability to performfully coupled simulations for floating wind turbines.


Publication metadata

Author(s): Chen J, Hu Z, Liu G, Wan D

Publication type: Article

Publication status: Published

Journal: Renewable Energy

Year: 2019

Volume: 130

Pages: 139-153

Print publication date: 01/01/2019

Online publication date: 21/06/2018

Acceptance date: 15/06/2018

Date deposited: 28/06/2018

ISSN (print): 0960-1481

Publisher: Elsevier

URL: https://doi.org/10.1016/j.renene.2018.06.060

DOI: 10.1016/j.renene.2018.06.060


Altmetrics

Altmetrics provided by Altmetric


Share