Projekter pr. år
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.
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.
Originalsprog | Engelsk |
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Titel | 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 |
Antal sider | 6 |
Forlag | IEEE Press |
Publikationsdato | aug. 2019 |
Sider | 410-415 |
Artikelnummer | 8864710 |
ISBN (Elektronisk) | 9781728109336 |
DOI | |
Status | Udgivet - aug. 2019 |
Begivenhed | 24th International Conference on Methods & Models in Automation & Robotics (MMAR) - Miedzyzdroje, Polen Varighed: 26 aug. 2019 → 29 aug. 2019 |
Konference
Konference | 24th International Conference on Methods & Models in Automation & Robotics (MMAR) |
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Land/Område | Polen |
By | Miedzyzdroje |
Periode | 26/08/2019 → 29/08/2019 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'System Identification and model comparison of a Tension Leg Platform for Floating Offshore Wind Turbines'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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Modeling and control of a scaled floating wind turbine system
01/02/2018 → 01/02/2020
Projekter: Projekt › Forskning
-
Experimental Validation of Aero-Hydro-Servo-Elastic Models of a Scaled Floating Offshore Wind Turbine
Jessen, K., Laugesen, K., Mortensen, S. M., Kirkegaard Jensen, J. & N. Soltani, M., mar. 2019, I: Applied Sciences. 9, 6, 28 s., 1244.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgang16 Citationer (Scopus) -
FAST model of the scaled offshore floating wind turbine AAUE-TLP
Jessen, K. & N. Soltani, M., 2019Bidragets oversatte titel :FAST model af den skalerede offshore flydende vind mølle AAUE-TLP Publikation: Bidrag der ikke har en tekstform › Softwareprogram › Forskning
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