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Reliability-based design optimization of a spar-type floating offshore wind turbine support structure

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  • Leimeister, Mareike
  • Kolios, Athanasios

Abstract

The application of reliability-based design optimization (RBDO) methods to offshore wind turbine systems is highly relevant regarding economic efficiency and for considering prevailing uncertainties within the design process. Furthermore, RBDO is a very promising approach in optimizing systems when classification and standardization are not fully available. The level of difficulty of design optimization already increases when including the reliability aspect, but becomes even more challenging when dealing with the highly complex system of floating wind turbines (FWTs), which has not yet been applied. Thus, this paper presents for the first time an integrated framework for RBDO of FWTs, combining concepts of optimization with reliability-based design and advanced modeling, requiring reasonable computational effort and time expenditure. In preprocessing, environmental conditions, limit states, and uncertainties are specified, an appropriate reliability assessment approach is elaborated, and response surfaces for various system geometries in the optimization design space are generated ahead of the RBDO execution. These are finally used by means of an interpolation approach for the reliability calculation integrated in the iterative design optimization. On the example of a spar-buoy FWT system, the application of the presented methodology and the feasibility of coupling FWT design optimization with reliability assessment are shown.

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  • Leimeister, Mareike & Kolios, Athanasios, 2021. "Reliability-based design optimization of a spar-type floating offshore wind turbine support structure," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:reensy:v:213:y:2021:i:c:s0951832021002064
    DOI: 10.1016/j.ress.2021.107666
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    1. Mareike Leimeister & Athanasios Kolios & Maurizio Collu, 2020. "Development and Verification of an Aero-Hydro-Servo-Elastic Coupled Model of Dynamics for FOWT, Based on the MoWiT Library," Energies, MDPI, vol. 13(8), pages 1-33, April.
    2. Rakul Bharatwaj Ramesh & Olivia Mirza & Won-Hee Kang, 2017. "HLRF-BFGS-Based Algorithm for Inverse Reliability Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-15, July.
    3. Lee, Yeon-Seung & Choi, Byung-Lyul & Lee, Ji Hyun & Kim, Soo Young & Han, Soonhung, 2014. "Reliability-based design optimization of monopile transition piece for offshore wind turbine system," Renewable Energy, Elsevier, vol. 71(C), pages 729-741.
    4. Gentils, Theo & Wang, Lin & Kolios, Athanasios, 2017. "Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm," Applied Energy, Elsevier, vol. 199(C), pages 187-204.
    5. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.
    6. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
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