System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines

Thomas Hansen, Maria A. B. Jørgensen, Van Roy Tran, Kasper Jessen, Mohsen N. Soltani

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

This paper will focus on using system identification on experimental data for building a mathematical model for the platform of a floating offshore wind turbine and analyzing the behavior of the structure. The floating offshore wind turbine examined in this paper uses a scaled tension leg platform as its
foundation and the wind turbine is a 1:35 scaled model of the 5 MW NREL offshore wind turbine. The mathematical model of the platform will describe the
displacement of the TLP in surge when affected by an irregular wave series generated from a scaled Pierson-Moskowitz wave spectrum. To obtain such a mathematical model, an examination of the displacement of the platform due to the hydrodynamic loads will be conducted on the foundation of the floating offshore wind turbine. The height of the waves and the displacement of
the floating offshore wind turbines will be measured by resistive wave gauges and OptiTrack cameras, respectively, at the offshore laboratory at Aalborg University Esbjerg. System identification is used on the data obtained from the experiments, to build multiple mathematical models with different model structures, in order to find the most appropriate model structure. It is
concluded from the analysis of the different mathematical models, that the Autoregressive Moving Average and Extra input model structure is the most accurate model at describing the dynamics of the platform of a floating offshore wind turbine. The model is valid for a specific operating range of Pierson-Moskowitz waves generated with a wind speed corresponding to 2 meters per seconds.
Original languageEnglish
Title of host publicationProceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR)
PublisherIEEE Press
Publication dateAug 2019
DOIs
Publication statusPublished - Aug 2019
Event24th International Conference on Methods & Models in Automation & Robotics (MMAR) - Miedzyzdroje, Poland
Duration: 26 Aug 201929 Aug 2019

Conference

Conference24th International Conference on Methods & Models in Automation & Robotics (MMAR)
CountryPoland
CityMiedzyzdroje
Period26/08/201929/08/2019

Fingerprint

Offshore wind turbines
Tension-leg platforms
Identification (control systems)
Mathematical models
Model structures
Wind turbines
Gages
Hydrodynamics
Cameras

Keywords

  • System Identification
  • Floating wind turbine
  • TLP
  • Tension Leg Platform
  • Offshore Wind

Cite this

Hansen, T., Jørgensen, M. A. B., Tran, V. R., Jessen, K., & N. Soltani, M. (2019). System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines. In Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR) IEEE Press. https://doi.org/10.1109/MMAR.2019.8864710
Hansen, Thomas ; Jørgensen, Maria A. B. ; Tran, Van Roy ; Jessen, Kasper ; N. Soltani, Mohsen. / System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines. Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE Press, 2019.
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abstract = "This paper will focus on using system identification on experimental data for building a mathematical model for the platform of a floating offshore wind turbine and analyzing the behavior of the structure. The floating offshore wind turbine examined in this paper uses a scaled tension leg platform as itsfoundation and the wind turbine is a 1:35 scaled model of the 5 MW NREL offshore wind turbine. The mathematical model of the platform will describe thedisplacement of the TLP in surge when affected by an irregular wave series generated from a scaled Pierson-Moskowitz wave spectrum. To obtain such a mathematical model, an examination of the displacement of the platform due to the hydrodynamic loads will be conducted on the foundation of the floating offshore wind turbine. The height of the waves and the displacement ofthe floating offshore wind turbines will be measured by resistive wave gauges and OptiTrack cameras, respectively, at the offshore laboratory at Aalborg University Esbjerg. System identification is used on the data obtained from the experiments, to build multiple mathematical models with different model structures, in order to find the most appropriate model structure. It isconcluded from the analysis of the different mathematical models, that the Autoregressive Moving Average and Extra input model structure is the most accurate model at describing the dynamics of the platform of a floating offshore wind turbine. The model is valid for a specific operating range of Pierson-Moskowitz waves generated with a wind speed corresponding to 2 meters per seconds.",
keywords = "System Identification, Floating wind turbine, TLP, Tension Leg Platform, Offshore Wind",
author = "Thomas Hansen and J{\o}rgensen, {Maria A. B.} and Tran, {Van Roy} and Kasper Jessen and {N. Soltani}, Mohsen",
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Hansen, T, Jørgensen, MAB, Tran, VR, Jessen, K & N. Soltani, M 2019, System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines. in Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE Press, 24th International Conference on Methods & Models in Automation & Robotics (MMAR), Miedzyzdroje, Poland, 26/08/2019. https://doi.org/10.1109/MMAR.2019.8864710

System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines. / Hansen, Thomas; Jørgensen, Maria A. B.; Tran, Van Roy; Jessen, Kasper; N. Soltani, Mohsen.

Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE Press, 2019.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - This paper will focus on using system identification on experimental data for building a mathematical model for the platform of a floating offshore wind turbine and analyzing the behavior of the structure. The floating offshore wind turbine examined in this paper uses a scaled tension leg platform as itsfoundation and the wind turbine is a 1:35 scaled model of the 5 MW NREL offshore wind turbine. The mathematical model of the platform will describe thedisplacement of the TLP in surge when affected by an irregular wave series generated from a scaled Pierson-Moskowitz wave spectrum. To obtain such a mathematical model, an examination of the displacement of the platform due to the hydrodynamic loads will be conducted on the foundation of the floating offshore wind turbine. The height of the waves and the displacement ofthe floating offshore wind turbines will be measured by resistive wave gauges and OptiTrack cameras, respectively, at the offshore laboratory at Aalborg University Esbjerg. System identification is used on the data obtained from the experiments, to build multiple mathematical models with different model structures, in order to find the most appropriate model structure. It isconcluded from the analysis of the different mathematical models, that the Autoregressive Moving Average and Extra input model structure is the most accurate model at describing the dynamics of the platform of a floating offshore wind turbine. The model is valid for a specific operating range of Pierson-Moskowitz waves generated with a wind speed corresponding to 2 meters per seconds.

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KW - Floating wind turbine

KW - TLP

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KW - Offshore Wind

U2 - 10.1109/MMAR.2019.8864710

DO - 10.1109/MMAR.2019.8864710

M3 - Article in proceeding

BT - Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR)

PB - IEEE Press

ER -

Hansen T, Jørgensen MAB, Tran VR, Jessen K, N. Soltani M. System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines. In Proceedings of 24th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE Press. 2019 https://doi.org/10.1109/MMAR.2019.8864710