Abstract

This work presents a novel object-oriented approach to model the fully-coupled dynamic response of floating offshore wind turbines (FOWTs). The key features offered by the method are the following: 1) its structure naturally allows for easy implementation of arbitrary platform geometries and platform/rotor configurations, 2) the analysis time is significantly faster than that of standard codes and results are accurate in situations where rotor dynamic contribution is negligible, and 3) an extremely flexible modeling environment is offered by the object-oriented nature of Modelica. Moreover, the current modeling facility used for the code development is open source and is naturally suitable for code sharing. In the present method, the aerodynamic model computes the aerodynamic loads through the mapping of steady-state aerodynamic coefficients. This modeling approach can be placed at the intersection between simplified aerodynamic methods, such as TDHMill, and full beam element/momentum-based aerodynamic methods. Aerodynamic loads obtained from the coefficients mapping are composed of a concentrated thrust and a concentrated torque. The thrust acts at the hub, while the torque is applied at the rotor low-speed shaft of a simplified rigid rotor equation of motion (EoM) used to emulate the rotor response. The aerodynamic coefficients are computed in FAST for a baseline 5 MW wind turbine. A standard rotor-collective blade-pitch control model is implemented. The system is assumed to be rigid. Linear hydrodynamics is employed to compute hydrodynamic loads. The industry-standard numerical-panel code Sesam-Wadam (DNV-GL) is used to preprocess the frequency-domain hydrodynamic problem. Validation of the code considers a standard spar-buoy platform, based on the Offshore Code Comparison Collaboration (OC3-Hywind). The dynamic response is tested in terms of free-decay response, Response Amplitude Operator (RAO), and the time histories and power spectral densities (PSDs) of several load cases including irregular waves and turbulent wind. The resulting model is benchmarked against well-known code-to-code comparisons and a good agreement is obtained.

Highlights

  • Commercial deployment of FOWTs is still at an early stage, while several FOWTs research prototypes have been deployed in the recent past

  • The results show how the novel method implemented with Modelica can cover most of the dynamic response of the system within operational conditions

  • Aerodynamic effects induced by unsteady dynamic motions are neglected, such as the effects given by the dynamic inflow, the rotor yaw motion, and the airfoil spatial orientation of the blades

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Summary

Introduction

Commercial deployment of FOWTs is still at an early stage, while several FOWTs research prototypes have been deployed in the recent past. In order to obtain sufficiently accurate predictions, it is necessary to include an accurate account of the hydrodynamic and aerodynamic loads acting on the system, the servo-control system dynamics, and the structural dynamics of the system This method is called the aero-hydro-elastic-servo fully-coupled approach [4]. A complete proportional-integrative (PI) controller is implemented in order to compute the rotor-collective blade-pitch angle from the generator speed feedback signal. This method presents itself as a viable alternative to more complex beam element/momentum (BEM) models or overly simplified approaches. A simplified fully-coupled method for the dynamic analysis of FOWTs by means of the object-oriented modeling language Modelica is developed. Details regarding the code will be given

OC3-hywind platform
NREL offshore 5 MW baseline wind turbine
Linear hydrodynamics
Incident wave loads
Wave-radiation damping
Viscous drag
Preprocessing
Mooring lines
OC3-hywind mooring lines
Simplified aerodynamics
Steady-state aerodynamics
Rotor-collective blade-pitch controller
Modelica implementation
Mooring lines implementation
Linear hydrodynamics implementation
Steady-state aerodynamics implementation
Rotor-collective blade-pitch controller implementation
Code-to-code comparative analysis
Wind-wave dynamic response
Performance analysis
Findings
10. Conclusions
Full Text
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