Abstract

We propose a new optimisation framework developed for the investigation of innovative wind turbine blade designs. The design of wind turbines has progressively evolved over recent decades as part of an ongoing effort to
provide economically competitive solutions for wind energy production. In particular, rotors have increased in size so as to capture more wind energy while limiting installation costs. At the same time blade designers have had to continually improve the structural efficiency of blades in order to accommodate higher extreme and fatigue loads resulting from growing rotor diameters. Modern wind turbine designs are the result of these incremental improvements, limiting financial risks but also confining the design space and effectively reducing opportunities for more radical innovation. In this paper, we enable the wider exploration of the wind turbine blade design space by means of a new optimisation framework. For that purpose we develop and combine state-of-the-art tools for the aero-servo-elastic analysis and optimisation of wind turbines aiming to explore the uncharted design space resulting from decades of incremental changes. Our framework relies on the use of B-spline surfaces and lamination parameters to provide a compact and continuous means of describing blade structures, also enabling the use of gradient-based optimisers. This structural parameterisation is further combined with beam and shell finite element models to provide further confidence in preliminary structural designs. The proposed framework is presented and verified herein. Validation results show good agreement with the modern large scale DTU 10 MW blade design. Additionally, the coupled bend-twist behaviour of the beam model is found to agree well with higher fidelity finite element model predictions.
Original languageEnglish
Title of host publicationWCSMO 2017
Subtitle of host publicationAdvances in Structural and Multidisciplinary Optimization
PublisherSpringer Berlin Heidelberg
Pages2044-2060
Number of pages17
ISBN (Electronic)9783319679884
ISBN (Print)9783319679877
DOIs
Publication statusPublished - 6 Dec 2017
Event12th World Congress of Structural and Multidisciplinary Optimisation -
Duration: 5 Jun 2017 → …

Conference

Conference12th World Congress of Structural and Multidisciplinary Optimisation
Period5/06/17 → …

Keywords

  • Optimisation
  • Wind turbine
  • Composite

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