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

doi:10.1109/MMAR.2019.8864710

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 proceeding › Article in proceeding › Research › peer-review

4 Citations (Scopus)

113 Downloads (Pure)

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 language	English
Title of host publication	2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019
Number of pages	6
Publisher	IEEE Press
Publication date	Aug 2019
Pages	410-415
Article number	8864710
ISBN (Electronic)	9781728109336
DOIs	https://doi.org/10.1109/MMAR.2019.8864710
Publication status	Published - Aug 2019
Event	24th International Conference on Methods & Models in Automation & Robotics (MMAR) - Miedzyzdroje, Poland Duration: 26 Aug 2019 → 29 Aug 2019

Conference

Conference	24th International Conference on Methods & Models in Automation & Robotics (MMAR)
Country/Territory	Poland
City	Miedzyzdroje
Period	26/08/2019 → 29/08/2019

Keywords

System Identification
Floating wind turbine
TLP
Tension Leg Platform
Offshore Wind
Pierson-Moskowitz
Scaled-model
SI
FOWT
Floating offshore wind turbines
System identification

Access to Document

10.1109/MMAR.2019.8864710

AAUE_MMAR_paperSubmitted manuscript, 1.81 MB

AUB Link

Search for the material in Aalborg University Library's search engine

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 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 (pp. 410-415). Article 8864710 IEEE Press. https://doi.org/10.1109/MMAR.2019.8864710

@inproceedings{0bb3303ca151402daf7ac72e87a28801,

title = "System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines",

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, Pierson-Moskowitz, Scaled-model, SI, FOWT, Floating offshore wind turbines, System identification",

author = "Thomas Hansen and J{\o}rgensen, {Maria A. B.} and Tran, {Van Roy} and Kasper Jessen and {N. Soltani}, Mohsen",

year = "2019",

month = aug,

doi = "10.1109/MMAR.2019.8864710",

language = "English",

pages = "410--415",

booktitle = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",

publisher = "IEEE Press",

note = "24th International Conference on Methods & Models in Automation & Robotics (MMAR) ; Conference date: 26-08-2019 Through 29-08-2019",

}

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 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019., 8864710, IEEE Press, pp. 410-415, 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 et al.
2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. IEEE Press, 2019. p. 410-415 8864710.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines

AU - Hansen, Thomas

AU - Jørgensen, Maria A. B.

AU - Tran, Van Roy

AU - Jessen, Kasper

AU - N. Soltani, Mohsen

PY - 2019/8

Y1 - 2019/8

N2 - 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.

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.

KW - System Identification

KW - Floating wind turbine

KW - TLP

KW - Tension Leg Platform

KW - Offshore Wind

KW - Pierson-Moskowitz

KW - Scaled-model

KW - SI

KW - FOWT

KW - Floating offshore wind turbines

KW - System identification

UR - http://www.scopus.com/inward/record.url?scp=85074241549&partnerID=8YFLogxK

U2 - 10.1109/MMAR.2019.8864710

DO - 10.1109/MMAR.2019.8864710

M3 - Article in proceeding

SP - 410

EP - 415

BT - 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

PB - IEEE Press

T2 - 24th International Conference on Methods & Models in Automation & Robotics (MMAR)

Y2 - 26 August 2019 through 29 August 2019

ER -

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Modeling and control of a scaled floating wind turbine system

Experimental Validation of Aero-Hydro-Servo-Elastic Models of a Scaled Floating Offshore Wind Turbine

FAST model of the scaled offshore floating wind turbine AAUE-TLP

Cite this

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Modeling and control of a scaled floating wind turbine system

Research output

Experimental Validation of Aero-Hydro-Servo-Elastic Models of a Scaled Floating Offshore Wind Turbine

FAST model of the scaled offshore floating wind turbine AAUE-TLP

Cite this