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Robust aerodynamic design optimization of horizontal axis wind turbines

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Robust aerodynamic design optimization of horizontal axis wind turbines. / Caboni, Marco; Minisci, Edmondo; Campobasso, Sergio.

Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. ed. / David Greiner; Blas Galván; Jacques Periaux; Nicolas Gauger; Kyriakos Giannakoglou; Gabriel Winter. Springer, 2015. p. 225-240 (Computational Methods in Applied Sciences; Vol. 36).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Caboni, M, Minisci, E & Campobasso, S 2015, Robust aerodynamic design optimization of horizontal axis wind turbines. in D Greiner, B Galván, J Periaux, N Gauger, K Giannakoglou & G Winter (eds), Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Computational Methods in Applied Sciences, vol. 36, Springer, pp. 225-240. https://doi.org/10.1007/978-3-319-11541-2_14

APA

Caboni, M., Minisci, E., & Campobasso, S. (2015). Robust aerodynamic design optimization of horizontal axis wind turbines. In D. Greiner, B. Galván, J. Periaux, N. Gauger, K. Giannakoglou, & G. Winter (Eds.), Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences (pp. 225-240). (Computational Methods in Applied Sciences; Vol. 36). Springer. https://doi.org/10.1007/978-3-319-11541-2_14

Vancouver

Caboni M, Minisci E, Campobasso S. Robust aerodynamic design optimization of horizontal axis wind turbines. In Greiner D, Galván B, Periaux J, Gauger N, Giannakoglou K, Winter G, editors, Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Springer. 2015. p. 225-240. (Computational Methods in Applied Sciences). doi: 10.1007/978-3-319-11541-2_14

Author

Caboni, Marco ; Minisci, Edmondo ; Campobasso, Sergio. / Robust aerodynamic design optimization of horizontal axis wind turbines. Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. editor / David Greiner ; Blas Galván ; Jacques Periaux ; Nicolas Gauger ; Kyriakos Giannakoglou ; Gabriel Winter. Springer, 2015. pp. 225-240 (Computational Methods in Applied Sciences).

Bibtex

@inproceedings{45ee9d73a086492eb38d24352bbe01dd,
title = "Robust aerodynamic design optimization of horizontal axis wind turbines",
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.",
keywords = "probabilistic design, manufacturing and assembly tolerances , manufacturing and assembly tolerances, multi-megawatt wind turbines",
author = "Marco Caboni and Edmondo Minisci and Sergio Campobasso",
year = "2015",
doi = "10.1007/978-3-319-11541-2_14",
language = "English",
isbn = "3319115405",
series = "Computational Methods in Applied Sciences",
publisher = "Springer",
pages = "225--240",
editor = "David Greiner and Blas Galv{\'a}n and Jacques Periaux and Nicolas Gauger and Kyriakos Giannakoglou and Gabriel Winter",
booktitle = "Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences",

}

RIS

TY - GEN

T1 - Robust aerodynamic design optimization of horizontal axis wind turbines

AU - Caboni, Marco

AU - Minisci, Edmondo

AU - Campobasso, Sergio

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - probabilistic design

KW - manufacturing and assembly tolerances

KW - manufacturing and assembly tolerances, multi-megawatt wind turbines

U2 - 10.1007/978-3-319-11541-2_14

DO - 10.1007/978-3-319-11541-2_14

M3 - Conference contribution/Paper

SN - 3319115405

SN - 9783319115405

T3 - Computational Methods in Applied Sciences

SP - 225

EP - 240

BT - Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences

A2 - Greiner, David

A2 - Galván, Blas

A2 - Periaux, Jacques

A2 - Gauger, Nicolas

A2 - Giannakoglou, Kyriakos

A2 - Winter, Gabriel

PB - Springer

ER -