Gazing at clouds to understand turbulence on wind turbine airfoils

Poster (2016)
Author(s)

G.L. De Oliveira Andrade (TU Delft - Wind Energy)

Ricardo Santos Pereira (TU Delft - Wind Energy)

WA Timmer (TU Delft - Wind Energy)

D. Ragni (TU Delft - Wind Energy)

F. Lau (University of Lisbon)

GJW Van Bussel (TU Delft - Wind Energy)

Research Group
Wind Energy
Copyright
© 2016 G.L. De Oliveira Andrade, R. Balbino dos Santos Pereira, W.A. Timmer, D. Ragni, F. Lau, G.J.W. van Bussel
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 G.L. De Oliveira Andrade, R. Balbino dos Santos Pereira, W.A. Timmer, D. Ragni, F. Lau, G.J.W. van Bussel
Research Group
Wind Energy
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Abstract

There are many ways to learn from data. Our first experiment consisted in reproducing the way aerodynamicists work [2] with a genetic optimizer. The data pool was too narrow and asymptotic tendencies were unreliable. Our 2nd Experiment, a simple version of [4], had a virtually unlimited data pool and used neural networks. Results were better, but computationally expensive. Data assimilation approaches used in EO [ 7] could yield better results..

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