A reliability-constrained optimisation framework for offshore wind turbine support structures
Rezvanipour, Mohammad and Kolios, Athanasios and Amirafshari, Peyman and Wang, Lin (2024) A reliability-constrained optimisation framework for offshore wind turbine support structures. International Journal of Sustainable Energy, 43 (1). 2352786. ISSN 1478-646X (https://doi.org/10.1080/14786451.2024.2352786)
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Abstract
A new approach that links finite element analysis (FEA) and a genetic algorithm (GA) with Monte Carlo simulation (MCS) for the reliability-constrained optimal design of offshore wind turbine (OWT) support structure is presented. This approach has been applied to optimise the NREL 5MW OWT on OC3 support structure. The objective function minimises the weight of the support structure, constrained to design and performance limits, by attaining the desired reliability level. A response analysis of the reference OWT is performed to estimate design loads. Then, deterministic optimisation (DO) is carried out to find the candidate design solutions. After that, a reliability assessment is conducted to apply the target reliability constraint. This study reveals that the design of a monopile support structure is mainly driven by fatigue limit state. Also, there is no guarantee that DO candidate designs always meet the structural reliability target level in all capacities.
ORCID iDs
Rezvanipour, Mohammad, Kolios, Athanasios ORCID: https://orcid.org/0000-0001-6711-641X, Amirafshari, Peyman and Wang, Lin;-
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Item type: Article ID code: 89407 Dates: DateEvent31 May 2024Published20 May 2024Published Online3 May 2024Accepted22 June 2022SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Production of electric energy or power
Technology > Hydraulic engineering. Ocean engineeringDepartment: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Faculty of Engineering > ArchitectureDepositing user: Pure Administrator Date deposited: 30 May 2024 11:42 Last modified: 11 Nov 2024 14:20 URI: https://strathprints.strath.ac.uk/id/eprint/89407