Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach

Xiang Zhao, My Ha Dao and Quang Tuyen Le

Renewable Energy, 2023, vol. 206, issue C, 531-551

Abstract: In the wind energy industry, a cost-benefit digital twin (DT) will be very useful for managing the operation of a wind turbine. For instance, a DT could provide information on structural health conditions in real-time as well as projections for the near future. In this work, we employ a component-based Reduced-Order Modelling (ROM) technique to construct a DT of a parameter-varying offshore wind turbine system on a monopile. The DT consists of a ROM model for modal analysis and structural response prediction under wind and wave loadings. First, an offline library is pre-computed, which contains a series of component archetypes. Then, the component-based ROM is assembled out of these archetypes, such as the parts in the blade, hub, nacelle, and tower. With the computation speed of two orders (approximately 650x) faster than a Finite Element Analysis (FEA) model and high accuracy (less than 0.2% error), the DT could be able to provide almost instant predictions of the modes and the responses of the turbine structure due to the wind-wave loading as well as projections of structural health conditions.

Keywords: Wind turbine; Reduced order model; Digital twin; Computational fluid dynamics; Elasticity; Structural response (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:206:y:2023:i:c:p:531-551

DOI: 10.1016/j.renene.2023.02.067

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