Robust aerodynamic design optimization of horizontal axis wind turbine rotors

Marco Caboni; Edmondo Minisci; Michele Sergio Campobasso

doi:10.1007/978-3-319-11541-2-14

Robust aerodynamic design optimization of horizontal axis wind turbine rotors

Marco Caboni^*, Edmondo Minisci, Michele Sergio Campobasso

^*Corresponding author for this work

Mechanical And Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Editors	D. Greiner, B. Galván, J. Periaux, N. Gauger, K.C. Giannakoglou, G. Winter
Place of Publication	Switzerland
Pages	225-240
Number of pages	16
DOIs	https://doi.org/10.1007/978-3-319-11541-2-14
Publication status	Published - 14 Nov 2014
Event	10th International Conference on Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, 2013 - Las Palmas, Spain Duration: 7 Oct 2013 → 9 Oct 2013

Publication series

Name	Computational Methods in Applied Sciences
Volume	36
ISSN (Print)	18713033

Conference

Conference	10th International Conference on Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, 2013
Country/Territory	Spain
City	Las Palmas
Period	7/10/13 → 9/10/13

Keywords

horizontal axis wind turbine design
multidisciplinary design optimization
robust design optimization
uncertainty propagation

Access to Document

10.1007/978-3-319-11541-2-14

Cite this

Caboni, M., Minisci, E., & Campobasso, M. S. (2014). Robust aerodynamic design optimization of horizontal axis wind turbine rotors. In D. Greiner, B. Galván, J. Periaux, N. Gauger, K. C. 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).. https://doi.org/10.1007/978-3-319-11541-2-14

Caboni, Marco ; Minisci, Edmondo ; Campobasso, Michele Sergio. / Robust aerodynamic design optimization of horizontal axis wind turbine rotors. Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. editor / D. Greiner ; B. Galván ; J. Periaux ; N. Gauger ; K.C. Giannakoglou ; G. Winter. Switzerland, 2014. pp. 225-240 (Computational Methods in Applied Sciences).

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title = "Robust aerodynamic design optimization of horizontal axis wind turbine rotors",

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 = "horizontal axis wind turbine design, multidisciplinary design optimization, robust design optimization, uncertainty propagation",

author = "Marco Caboni and Edmondo Minisci and Campobasso, {Michele Sergio}",

year = "2014",

month = nov,

day = "14",

doi = "10.1007/978-3-319-11541-2-14",

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booktitle = "Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences",

note = "10th International Conference on Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, 2013 ; Conference date: 07-10-2013 Through 09-10-2013",

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Caboni, M, Minisci, E & Campobasso, MS 2014, Robust aerodynamic design optimization of horizontal axis wind turbine rotors. in D Greiner, B Galván, J Periaux, N Gauger, KC 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, Switzerland, pp. 225-240, 10th International Conference on Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, 2013, Las Palmas, Spain, 7/10/13. https://doi.org/10.1007/978-3-319-11541-2-14

Robust aerodynamic design optimization of horizontal axis wind turbine rotors. / Caboni, Marco; Minisci, Edmondo; Campobasso, Michele Sergio.
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. ed. / D. Greiner; B. Galván; J. Periaux; N. Gauger; K.C. Giannakoglou; G. Winter. Switzerland, 2014. p. 225-240 (Computational Methods in Applied Sciences; Vol. 36).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Robust aerodynamic design optimization of horizontal axis wind turbine rotors

AU - Caboni, Marco

AU - Minisci, Edmondo

AU - Campobasso, Michele Sergio

PY - 2014/11/14

Y1 - 2014/11/14

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 - horizontal axis wind turbine design

KW - multidisciplinary design optimization

KW - robust design optimization

KW - uncertainty propagation

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A2 - Gauger, N.

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A2 - Winter, G.

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Caboni M, Minisci E, Campobasso MS. Robust aerodynamic design optimization of horizontal axis wind turbine rotors. In Greiner D, Galván B, Periaux J, Gauger N, Giannakoglou KC, Winter G, editors, Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Switzerland. 2014. p. 225-240. (Computational Methods in Applied Sciences). doi: 10.1007/978-3-319-11541-2-14

Robust aerodynamic design optimization of horizontal axis wind turbine rotors

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

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