Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm

Lin Wang, Athanasios Kolios, Takafumi Nishino, Pierre Luc Delafin, Theodore Bird

Research output: Contribution to journalArticle

42 Citations (Scopus)
46 Downloads (Pure)

Abstract

A wind turbine blade generally has complex structures including several layers of composite materials with shear webs, making its structure design very challenging. In this paper, a structural optimisation model for wind turbine composite blades has been developed based on a parametric FEA (finite element analysis) model and a GA (genetic algorithm) model. The optimisation model minimises the mass of composite blades with multi-criteria constraints. The number of unidirectional plies, the locations of the spar cap and the thicknesses of shear webs are taken as design variables. The optimisation model takes account of five constraints, i.e. stress constraint, deformation constraint, vibration constraint, buckling constraint, and manufacturing manoeuvrability and continuity of laminate layups constraint. The model has been applied to the blade structural optimisation of ELECTRA 30 kW wind turbine, which is a novel VAWT (vertical-axis wind turbine) combining sails and V-shape arm. The mass of the optimised blade is 228 kg, which is 17.4% lower than the initial design, indicating the blade mass can be significantly reduced by using the present optimisation model. It is demonstrated that the structural optimisation model presented in this paper is capable of effectively and accurately determining the optimal structural layups of composite blades.

Original languageEnglish
Pages (from-to)123-138
Number of pages16
JournalComposite Structures
Volume153
Early online date2 Jun 2016
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • composite blade
  • finite element analysis
  • genetic algorithm
  • structural optimisation
  • vertical-axis wind turbine

Fingerprint Dive into the research topics of 'Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm'. Together they form a unique fingerprint.

Cite this