Standard
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/ISSN › Conference contribution/Paper › peer-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_14APA
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_14Vancouver
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
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 -
