A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations

Javier López-Queija, Eider Robles, Jose Ignacio Llorente, Imanol Touzon, Joseba López-Mendia

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Currently, floating offshore wind is experiencing rapid development towards a commercial scale. However, the research to design new control strategies requires numerical models of low computational cost accounting for the most relevant dynamics. In this paper, a reduced linear time-domain model is presented and validated. The model represents the main floating offshore wind turbine dynamics with four planar degrees of freedom: surge, heave, pitch, first tower foreaft deflection, and rotor speed to account for rotor dynamics. The model relies on multibody and modal theories to develop the equation of motion. Aerodynamic loads are calculated using the wind turbine power performance curves obtained in a preprocessing step. Hydrodynamic loads are precomputed using a panel code solver and the mooring forces are obtained using a look-up table for different system displacements. Without any adjustment, the model accurately predicts the system motions for coupled stochastic wind–wave conditions when it is compared against OpenFAST, with errors below 10% for all the considered load cases. The largest errors occur due to the transient effects during the simulation runtime. The model aims to be used in the early design stages as a dynamic simulation tool in time and frequency domains to validate preliminary designs. Moreover, it could also be used as a control design model due to its simplicity and low modeling order.
Original languageEnglish
Article number2228
Pages (from-to)2228
Number of pages1
JournalEnergies
Volume15
Issue number6
DOIs
Publication statusPublished - 18 Mar 2022

Keywords

  • Floating offshore wind turbine
  • Simplified model
  • FOWT dynamics
  • Aerodynamics
  • Hydrodynamics
  • Structural dynamics

Project and Funding Information

  • Funding Info
  • The work was funded by the Basque Government through the BIKAINTEK PhD support program (grant No. 48-AF-W2-2019-00010)

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