Analysis and real-time prediction of the full-scale thrust for floating wind turbine based on artificial intelligence
Jiang, Xue and Day, Sandy and Clelland, David and Liang, Xu (2019) Analysis and real-time prediction of the full-scale thrust for floating wind turbine based on artificial intelligence. Ocean Engineering, 175. pp. 207-216. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2019.01.046)
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Abstract
In this paper, numerous aero-hydro-servo-elastic coupled simulations are carried out in time-domain to observe the performance of the real-time thrust acting on the rotor of the OC3-Hywind offshore floating wind turbine. And the studying focuses on investigating the correlation between inputs (surge motion, pitch motion, wind conditions, etc.) and the targeted output (rotor thrust) in the time domain. Besides, artificial intelligence (AI) techniques are used to estimate a prediction model of real-time thrust based on the data from simulations. To predict the thrust, data for four comparative coupled environmental conditions are considered, by which the effect of turbulence and wave spectrum on the thrust force is also investigated. Moreover, a series of simulations of frequency-increasing regular wave conditions and speed-increasing wind conditions are carried out to observe their effect on the real-time rotor thrust. Additionally, the impact of the pitch and surge RAOs of the floating foundation and the wind velocity are quantitatively studied. It reveals that the high-frequency response of thrust is dominated by wave change, whereas low-frequency response is dominated by wind change. Besides, one simulation model of the thrust acting on the rotor is estimated regarding high-frequency and low-frequency response separately to account the dominating influence.
ORCID iDs
Jiang, Xue ORCID: https://orcid.org/0000-0001-9860-8580, Day, Sandy ORCID: https://orcid.org/0000-0001-6798-3468, Clelland, David ORCID: https://orcid.org/0000-0002-5540-5182 and Liang, Xu;-
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Item type: Article ID code: 69187 Dates: DateEvent1 March 2019Published15 February 2019Published Online16 January 2019AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 01 Aug 2019 14:11 Last modified: 18 Dec 2024 01:24 URI: https://strathprints.strath.ac.uk/id/eprint/69187