Experimental Modelling of a Floating Offshore Wind Turbine

Christian Lindquist, Patrick Nørgaard Nielsen, Rikke Pedersen, Mohsen N. Soltani

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

Leading wind turbine manufacturers are increasinglylooking at the possibilities of sending offshore wind turbinesto deep seas. This can be done using a Floating Offshore WindTurbine (FOWT). Therefore FOWT is an interesting and timelyfield of study. The aim of the paper is to use System Identification(SI) to make a data-driven-based model for the FOWT system,located in Offshore Wind & Wave Laboratory at Aalborg University.This is achieved by conducting experiments and analyzingthe data. SI is used to analyze data from the experiments andobtain different models. These models are then evaluated basedon the fit, the frequency response, autocorrelation and crosscorrelation.Eventually, an AutoRegressive Moving Average andExtra input (ARMAX) model is shown to be the most accurateamongst the analyzed models.
OriginalsprogEngelsk
TitelProceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR
Antal sider6
ForlagIEEE Press
Publikationsdatoaug. 2018
Sider327-332
ISBN (Elektronisk)978-1-5386-4325-9
DOI
StatusUdgivet - aug. 2018
Begivenhed23rd International Conference on Methods & Models in Automation & Robotics - Amber Baltic Hotel, Miedzyzdroje, Polen
Varighed: 27 aug. 201830 aug. 2018
http://www.ieee-ras.org/component/rseventspro/event/1308-mmar-2018-23rd-international-conference-on-methods-and-models-in-automation-and-robotics?Itemid=101

Konference

Konference23rd International Conference on Methods & Models in Automation & Robotics
LokationAmber Baltic Hotel
LandPolen
ByMiedzyzdroje
Periode27/08/201830/08/2018
Internetadresse

Fingerprint

Offshore wind turbines
Identification (control systems)
Autocorrelation
Wind turbines
Frequency response
Experiments

Citer dette

Lindquist, C., Nielsen, P. N., Pedersen, R., & N. Soltani, M. (2018). Experimental Modelling of a Floating Offshore Wind Turbine. I Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR (s. 327-332). IEEE Press. https://doi.org/10.1109/MMAR.2018.8485979
Lindquist, Christian ; Nielsen, Patrick Nørgaard ; Pedersen, Rikke ; N. Soltani, Mohsen. / Experimental Modelling of a Floating Offshore Wind Turbine. Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR. IEEE Press, 2018. s. 327-332
@inproceedings{f32a046117764109a8e60c7158aa5fbc,
title = "Experimental Modelling of a Floating Offshore Wind Turbine",
abstract = "Leading wind turbine manufacturers are increasinglylooking at the possibilities of sending offshore wind turbinesto deep seas. This can be done using a Floating Offshore WindTurbine (FOWT). Therefore FOWT is an interesting and timelyfield of study. The aim of the paper is to use System Identification(SI) to make a data-driven-based model for the FOWT system,located in Offshore Wind & Wave Laboratory at Aalborg University.This is achieved by conducting experiments and analyzingthe data. SI is used to analyze data from the experiments andobtain different models. These models are then evaluated basedon the fit, the frequency response, autocorrelation and crosscorrelation.Eventually, an AutoRegressive Moving Average andExtra input (ARMAX) model is shown to be the most accurateamongst the analyzed models.",
keywords = "Offshore, Floating, Wind Turbine, Hydrodynamic, system identification, Modeling",
author = "Christian Lindquist and Nielsen, {Patrick N{\o}rgaard} and Rikke Pedersen and {N. Soltani}, Mohsen",
year = "2018",
month = "8",
doi = "10.1109/MMAR.2018.8485979",
language = "English",
pages = "327--332",
booktitle = "Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR",
publisher = "IEEE Press",

}

Lindquist, C, Nielsen, PN, Pedersen, R & N. Soltani, M 2018, Experimental Modelling of a Floating Offshore Wind Turbine. i Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR. IEEE Press, s. 327-332, 23rd International Conference on Methods & Models in Automation & Robotics, Miedzyzdroje, Polen, 27/08/2018. https://doi.org/10.1109/MMAR.2018.8485979

Experimental Modelling of a Floating Offshore Wind Turbine. / Lindquist, Christian; Nielsen, Patrick Nørgaard; Pedersen, Rikke; N. Soltani, Mohsen.

Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR. IEEE Press, 2018. s. 327-332.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Experimental Modelling of a Floating Offshore Wind Turbine

AU - Lindquist, Christian

AU - Nielsen, Patrick Nørgaard

AU - Pedersen, Rikke

AU - N. Soltani, Mohsen

PY - 2018/8

Y1 - 2018/8

N2 - Leading wind turbine manufacturers are increasinglylooking at the possibilities of sending offshore wind turbinesto deep seas. This can be done using a Floating Offshore WindTurbine (FOWT). Therefore FOWT is an interesting and timelyfield of study. The aim of the paper is to use System Identification(SI) to make a data-driven-based model for the FOWT system,located in Offshore Wind & Wave Laboratory at Aalborg University.This is achieved by conducting experiments and analyzingthe data. SI is used to analyze data from the experiments andobtain different models. These models are then evaluated basedon the fit, the frequency response, autocorrelation and crosscorrelation.Eventually, an AutoRegressive Moving Average andExtra input (ARMAX) model is shown to be the most accurateamongst the analyzed models.

AB - Leading wind turbine manufacturers are increasinglylooking at the possibilities of sending offshore wind turbinesto deep seas. This can be done using a Floating Offshore WindTurbine (FOWT). Therefore FOWT is an interesting and timelyfield of study. The aim of the paper is to use System Identification(SI) to make a data-driven-based model for the FOWT system,located in Offshore Wind & Wave Laboratory at Aalborg University.This is achieved by conducting experiments and analyzingthe data. SI is used to analyze data from the experiments andobtain different models. These models are then evaluated basedon the fit, the frequency response, autocorrelation and crosscorrelation.Eventually, an AutoRegressive Moving Average andExtra input (ARMAX) model is shown to be the most accurateamongst the analyzed models.

KW - Offshore

KW - Floating

KW - Wind Turbine

KW - Hydrodynamic

KW - system identification

KW - Modeling

U2 - 10.1109/MMAR.2018.8485979

DO - 10.1109/MMAR.2018.8485979

M3 - Article in proceeding

SP - 327

EP - 332

BT - Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR

PB - IEEE Press

ER -

Lindquist C, Nielsen PN, Pedersen R, N. Soltani M. Experimental Modelling of a Floating Offshore Wind Turbine. I Proceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR. IEEE Press. 2018. s. 327-332 https://doi.org/10.1109/MMAR.2018.8485979