Abstract
The aerodynamic design of wind turbine blades is carried out by means of evolutionary techniques within an automatic design environment based on evolution. A simple, fast, and robust aerodynamic simulator is embedded in the design environment to predict the performance of any turbine produced as intermediate individual of the evolutionary process. The aerodynamic simulator is based on blade element theory in which a panel method is combined with an integral boundary layer code to calculate blade airfoils’ characteristics. In order to reduce computations some simplifications were contemplated and the results corrected by means of the application of neural network based approximations. Results of the simulations obtained using this technique, of the application of the automatic design procedure and of the operation of the wind turbines thus obtained are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hansen, M.O.L.: Aerodynamics of Wind Turbines, pp. 80–84
Kirsch, U., Rozvany, G.I.N.: Alternative formulations of structural optimization. Structural Optimization 7, 32–41 (1994)
Keane, A.J.: Wing Optimization Using Design of Experiment, Response Surface, and Data Fusion Methods. J. Aircraft 40(4), 741–750 (2003)
Song, W., Keane, A.J., Eres, M.H., Pound, G.E., Cox, S.J.: Two Dimensional Airfoil Optimisation using CFD in a Grid Computing Envirionment. In: Kosch, H., Böszörményi, L., Hellwagner, H. (eds.) Euro-Par 2003. LNCS, vol. 2790, pp. 50–57. Springer, Heidelberg (2003)
Ong, Y.S., Nair, P.B., Keane, A.J., Wong, K.C.: Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems. In: Jin, Y. (ed.) Knowledge Incorporation in Evolutionary Computation: Studies in Fuzziness and Soft Computing, vol. 167, pp. 307–331. Springer, Heidelberg (2004)
Husbands, P., Jermy, G., McIlhagga, M., Ives, R.: Two Applications of Genetic Algorithms to Component Design. In: Fogarty, T.C. (ed.) AISB-WS 1996. LNCS, vol. 1143, pp. 50–61. Springer, Heidelberg (1996)
Ying, L.-a., Zhang, P.: Vortex method, pp. 73–78. Science Press, Beijing (1994)
Hirsch, C.: Numerical computation of internal and external flows. Wiley Series in Numerical Methods in Engineering, pp. 201–236. Wiley-Interscience Publication, Chichester (1988)
Thwaites, B.: On the momentum equation in laminar boundary layer flow. ARC RM 2587 (1952)
Cebeci, T., Smith, A.M.O.: Analysis of turbulent Boundary layers, pp. 332–333 (1974)
Head, M.R.: Entrainment in the turbulent boundary layers. ARC R&M 3152 (1958)
Hansen, M.O.L.: Aerodynamics of Wind Turbines, pp. 11–66. Science Publishers Ltd. (2000)
Moores, J.: Potential Flow 2-Dimensional Vortex Panel Model: Applications to Wingmills, Master’s thesis. University of Toronto. Faculty of Applied Science and Engineering (April 2003)
Jones, K.D., Davids, S., Platzaer: Oscilation Wing Power Generation. In: ASME paper 99-7050 in Proceedings of the thirds ASME/JSME Joint Fluids Engineering Conference
Abbot, H., Von Doenhoff, A.E.: Theory of Wing Sections. Dover, New York (1949) reprinted 1958
Wilson, R.E.: Aerodynamic Performance of Wind Turbines. Energy Research and Development Administration, ERDA/NSF/04014
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Casás, V.D., Peña, F.L., Lamas, A., Duro, R.J. (2005). An Evolutionary Environment for Wind Turbine Blade Design. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_146
Download citation
DOI: https://doi.org/10.1007/11494669_146
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
Online ISBN: 978-3-540-32106-4
eBook Packages: Computer ScienceComputer Science (R0)