Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty

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Abstract

This paper presents different approaches to optimize wind turbine airfoils in an uncertain scenario. The approaches are specifically applied to the aerodynamic design optimization of a wind turbine airfoil accounting for the uncertainty in setting up the XFOIL's NCRIT constant: a parameter that is considered affected by a chain of aleatory and epistemic uncertainty. Subject to a set of aerodynamic and structural constraints, the uncertain response of the airfoil is optimized by means of both probability- and imprecise probability-based approaches. These solutions are compared with a reference airfoil optimized with a conventional design approach, in which the treatment of uncertainty is carried out in a simplistic fashion. Once evaluated in the probabilistic scenario, the airfoil designed with the conventional approach still achieves the largest aerodynamic efficiency mean. This airfoil is however affected by the largest performance sensitivity to NCRIT variations. The airfoils optimized by means of uncertainty-based approaches instead achieve larger performance robustness and reliability than the airfoil optimized with the conventional approach.
Original languageEnglish
Article number042011
Number of pages10
JournalJournal of Physics: Conference Series
Volume1037
Issue number4
DOIs
Publication statusPublished - 1 Jun 2018
EventThe Science of Making Torque from Wind 2018 - Politecnico di Milano, Milan, Italy
Duration: 20 Jun 201822 Jun 2018
http://www.torque2018.org/

Keywords

  • aerodynamic design
  • wind turbine
  • airfoils
  • uncertainty
  • optimization
  • wind energy
  • reliability

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    Computational intelligence in aerospace science and engineering [Guest Editorial]

    Vasile, M., Minisci, E. & Tang, K., 1 Nov 2017, In : IEEE Computational Intelligence Magazine. 12, 4, p. 12-13 2 p.

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    Aerodynamic design optimization of wind turbine rotors under geometric uncertainty

    Campobasso, M. S., Minisci, E. & Caboni, M., 31 Jan 2016, In : Wind Energy. 19, 1, p. 51-65 15 p.

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    Wind turbine design optimization under environmental uncertainty

    Caboni, M., Campobasso, M. S. & Minisci, E., 15 Jun 2015, Proceedings of the ASME Turbo Expo 2015. Vol. 9.

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