Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm

Theo Gentils, Lin Wang, Athanasios Kolios

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

By accounting for almost 25% of the capital cost of an OWT (offshore wind turbine), optimisation of support structures provides an efficient way to reduce the currently high cost of offshore wind energy. In this paper, a structural optimisation model for OWT support structures has been developed based on a coupled parametric FEA (Finite Element Analysis) and GA (Genetic Algorithm), minimising the mass of the support structure under multi-criteria constraints. Contrary to existing optimisation models for OWT support structures, the proposed model is an integrated structural optimisation model, which optimises the components of the support structure (i.e. tower, transition piece, grout and monopile) simultaneously. The outer diameters and section thicknesses along the support structure are chosen as design variables. A set of constraints based on multi-criteria design assessment is applied according to standard requirements, which includes vibration, stress, deformation, buckling, fatigue and design variable constraints. The model has been applied to the NREL (National Renewable Energy Laboratory) 5 MW OWT on an OC3 (Offshore Code Comparison Collaboration) monopile. The results of the application of the integrated optimisation methodology show a 19.8% reduction in the global mass of the support structure while satisfying all the design constraints. It is demonstrated that the proposed structural optimisation model is capable of effectively and accurately determining the optimal design of OWT support structures, which significantly improves their design efficiency.

LanguageEnglish
Pages187-204
Number of pages18
JournalApplied Energy
Volume199
Early online date9 May 2017
DOIs
Publication statusPublished - 1 Aug 2017

Fingerprint

Offshore wind turbines
support structure
Structural optimization
wind turbine
genetic algorithm
Genetic algorithms
Finite element method
Wind power
Towers
Buckling
analysis
Costs
grout
buckling
fatigue
cost
Fatigue of materials
energy
vibration
methodology

Keywords

  • finite element analysis
  • genetic algorithm
  • integrated structural optimisation
  • multi-criteria design assessment
  • offshore wind turbine
  • support structure

Cite this

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abstract = "By accounting for almost 25{\%} of the capital cost of an OWT (offshore wind turbine), optimisation of support structures provides an efficient way to reduce the currently high cost of offshore wind energy. In this paper, a structural optimisation model for OWT support structures has been developed based on a coupled parametric FEA (Finite Element Analysis) and GA (Genetic Algorithm), minimising the mass of the support structure under multi-criteria constraints. Contrary to existing optimisation models for OWT support structures, the proposed model is an integrated structural optimisation model, which optimises the components of the support structure (i.e. tower, transition piece, grout and monopile) simultaneously. The outer diameters and section thicknesses along the support structure are chosen as design variables. A set of constraints based on multi-criteria design assessment is applied according to standard requirements, which includes vibration, stress, deformation, buckling, fatigue and design variable constraints. The model has been applied to the NREL (National Renewable Energy Laboratory) 5 MW OWT on an OC3 (Offshore Code Comparison Collaboration) monopile. The results of the application of the integrated optimisation methodology show a 19.8{\%} reduction in the global mass of the support structure while satisfying all the design constraints. It is demonstrated that the proposed structural optimisation model is capable of effectively and accurately determining the optimal design of OWT support structures, which significantly improves their design efficiency.",
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Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm. / Gentils, Theo; Wang, Lin; Kolios, Athanasios.

In: Applied Energy, Vol. 199, 01.08.2017, p. 187-204.

Research output: Contribution to journalArticle

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