Surrogate-based optimization of the layup of a laminated composite wind turbine blade for an improved power coefficient

• Autorzy: Dellaroza Danilo Gomes , Tavares da Silva Claudio , Luersen Marco Antonio

Identyfikatory

DOI

10.15632/jtam-pl/150299

• Języki publikacji: EN

Abstrakty

EN

Most wind turbine blades are made of laminated composite materials. The mechanical prop- erties of the material and the layup orientation influence the blade stiffness and, therefore, turbine performance. The bend-twist coupling effect, a consequence of the stacking sequence, can be used for passive control of the pitch angle, which in turn can improve the turbine performance. In this work, a surrogate-based optimization strategy which uses finite element simulation and radial basis functions is employed to optimize the stacking sequence of the blade laminate of a small wind turbine, aiming to improve the power coefficient.

Słowa kluczowe

EN

wind turbine blade; laminated composites; optimization; radial basis functions

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2022
• Tom: Vol. 60 nr 3
• Strony: 395--407
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Dellaroza Danilo Gomes

• Department of Mechanical Engineering, Federal University of Technology – Parana (UTFPR), Curitiba, Brazil

• https://orcid.org/0000-0001-9658-786X

autor

Tavares da Silva Claudio

• Department of Mechanical Engineering, Federal University of Technology – Parana (UTFPR), Curitiba, Brazil

• https://orcid.org/0000-0001-9127-6229

autor

Luersen Marco Antonio

• Department of Mechanical Engineering, Federal University of Technology – Parana (UTFPR), Curitiba, Brazil

• https://orcid.org/0000-0002-3769-8815

Bibliografia

• 1. Almeida M.S., 2013, Computational implementation for the development of horizontal axis wind turbine blades (in Portuguese), Master’s Dissertation, Federal University of Ceará, Brazil.
• 2. Barr S.M., Jaworski J.W., 2019, Optimization of tow-steered composite wind turbine blades for static aeroelastic performance, Renewable Energy, 139, 859-872.
• 3. Broomhead D.S., Loewe D., 1988, Multivariate functional interpolation and adaptive networks, Complex Systems, 2, 3, 321-355.
• 4. Deilmann C., 2009, Passive aeroelastic tailoring of wind turbine blades – a numerical analysis, Master’s Dissertation, Massachusetts Institute of Technology, USA.
• 5. Forrester A.I.J., Sóbester A., Keane A.J., 2008, Engineering Design via Surrogate Modelling: A Practical Guide, John Wiley & Sons, India.
• 6. Lanzi L., Giavotto V., 2006, Post-buckling optimization of composite stiffened panels: Computations and experiments, Composite Structures, 73, 2, 208-220.
• 7. Leite I.T., Ferreira J.V., 2019, Proof of concept of passive twist angle control in small wind turbines (in Portuguese), Undergraduate Final Project, Federal University of Technology – Parana, Brazil.
• 8. Maheri A., Noroozi S., Vinney J., 2007, Application of combined analytical/FEA coupled aero-structure simulation in design of wind turbine adaptive blades, Renewable Energy, 32, 12, 2011-2018.
• 9. Manwell J.F., McGowan J.G., Rogers A.L., 2009, Aerodynamics of Wind Turbines, Wind Energy Explained: Theory, Design and Application, John Wiley & Sons Ltd., UK 10.
• 10. Mueller J., 2012, Surrogate model algorithms for computationally expensive black-box global optimization problems, Doctoral Thesis, Tampere University of Technology, UK.
• 11. Myers R.H., Montgomery D.C., Andersson-Cook C.M., 2008, Experimental Designs for Fitting Response Surfaces, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New Jersey, USA.
• 12. Nik M.A., Fayazbakhsh K., Pasini D., Lessard L., 2014, A comparative study of metamodeling methods for the design optimization of variable stiffness composites, Composite Structures, 107, 494-501.
• 13. Reddy J.N., 2003, Mechanics of Laminated Composite Plates and Shells: Theory and Analysis, Boca Raton, USA.
• 14. Regis R.G., Schoemaker C.A., 2007, A stochastic radial basis function method for the global optimization of expensive functions, INFORMS Journal on Computing, 19, 4, 497-509.
• 15. Veers P., Lobitz D., Bir G., 1998, Aeroelastic tailoring in wind-turbine blade applications, Windpower’98, American Wind Energy Association Meeting and Exhibition, Bakersfield, California, USA.
• 16. Wang G., Shan S., 2007, Review of metamodeling techniques in support of engineering design optimization, Journal of Mechanical Design, 129, 4, 370-380.