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General Methodology for the Identification of Reduced Dynamic Models of Barge-Type Floating Wind Turbines

Villoslada, D., Santos, M. and Tomas-Rodriguez, M. ORCID: 0000-0001-9630-9579 (2021). General Methodology for the Identification of Reduced Dynamic Models of Barge-Type Floating Wind Turbines. Energies, 14(13), 3902.. doi: 10.3390/en14133902

Abstract

Floating offshore wind turbines (FOWT) are designed to overcome some of the limitations of offshore bottom-fixed ones. The development of computational models to simulate the behavior of the structure and the turbine is key to understanding the wind energy system and demonstrating its feasibility. In this work, a general methodology for the identification of reduced dynamic models of barge-type FOWTs is presented. The method is described together with an example of the development of a dynamic model of a 5 MW floating offshore wind turbine. The novelty of the proposed identification methodology lies in the iterative loop relationship between the identification and validation processes. Diversified data sets are used to select the best-fitting identified parameters by cross evaluation of every set among all validating conditions. The data set is generated for different initial FOWT operating conditions. Indeed, an optimal initial condition for platform pitch was found to be far enough from the system at rest to allow the dynamics to be well characterized but not so far that the unmodeled system nonlinearities were so large that they affected significantly the accuracy of the model. The model has been successfully applied to structural control research to reduce fatigue on a barge-type FOWT.

Publication Type: Article
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: barge-type floating wind turbine; identification; dynamic control-oriented model; offshore wind energy; reduced DOF model
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Mechanical Engineering & Aeronautics
Date available in CRO: 12 Jul 2021 10:45
Date deposited: 12 July 2021
Date of acceptance: 21 June 2021
Date of first online publication: 29 June 2021
URI: https://openaccess.city.ac.uk/id/eprint/26399
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