Robust aerodynamic design optimization of horizontal axis wind turbines

Caboni, Marco and Minisci, Edmondo and Campobasso, Sergio (2015) Robust aerodynamic design optimization of horizontal axis wind turbines. In: Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Computational Methods in Applied Sciences . Springer, pp. 225-240. ISBN 3319115405

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Abstract

The work reported in this paper deals with the development of a design system for the robust aerodynamic design optimization of horizontal axis wind turbine rotors. The system developed is here used to design a 126-m diameter, three-bladed rotor, featuring minimal sensitivity to uncertainty associated with blade manufacturing tolerances. In particular, the uncertainty affecting the rotor geometry is associated with the radial distributions of blade chord and twist, and the airfoil thickness. In this study, both geometric and operative design variables are treated as part of the optimization. Airfoil aerodynamics and rotor aeroelasticity are predicted by means of XFOIL and FAST codes, respectively, and a novel deterministic method, the Univariate Reduced Quadrature, is used for uncertainty propagation. The optimization is performed by means of a two-stage multi-objective evolution-based algorithm, aiming to maximize the rotor expected annual energy production and minimize its standard deviation. The design optimization is subjected to a single structural constrain associated with the maximum out-of-plane blade tip deflection. The results of this research highlight that a lower sensitivity to uncertainty tied to manufacturing tolerances can be achieved by lowering the angular speed of the rotor.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: /dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
Departments: Faculty of Science and Technology > Engineering
ID Code: 71734
Deposited By: ep_importer_pure
Deposited On: 13 Nov 2014 10:05
Refereed?: Yes
Published?: Published
Last Modified: 07 Jan 2020 03:25
URI: https://eprints.lancs.ac.uk/id/eprint/71734

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