Gazing at clouds to understand turbulence on wind turbine airfoils

Gael de Oliveira Andrade; Ricardo Balbino Dos Santos Pereira; Nando Timmer; Daniele Ragni; F. Lau; Gerard van Bussel

Gazing at clouds to understand turbulence on wind turbine airfoils

Gael de Oliveira Andrade, Ricardo Balbino Dos Santos Pereira, Nando Timmer, Daniele Ragni, F. Lau, Gerard van Bussel

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..

Original language	English
Number of pages	1
Publication status	Published - 2016
Event	8th ESA EO Summer School - Frascati, Rome, Italy Duration: 1 Aug 2016 → 12 Aug 2016 https://earth.esa.int/web/eo-summer-school/home

Conference

Conference	8th ESA EO Summer School
Country/Territory	Italy
City	Rome
Period	1/08/16 → 12/08/16
Internet address	https://earth.esa.int/web/eo-summer-school/home

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title = "Gazing at clouds to understand turbulence on wind turbine airfoils",

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..",

author = "{de Oliveira Andrade}, Gael and {Balbino Dos Santos Pereira}, Ricardo and Nando Timmer and Daniele Ragni and F. Lau and {van Bussel}, Gerard",

year = "2016",

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note = "8th ESA EO Summer School ; Conference date: 01-08-2016 Through 12-08-2016",

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T1 - Gazing at clouds to understand turbulence on wind turbine airfoils

AU - de Oliveira Andrade, Gael

AU - Balbino Dos Santos Pereira, Ricardo

AU - Timmer, Nando

AU - Ragni, Daniele

AU - Lau, F.

AU - van Bussel, Gerard

PY - 2016

Y1 - 2016

N2 - 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..

AB - 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..

UR - http://resolver.tudelft.nl/uuid:3bdf0f3f-dd49-4cdb-8995-596bb53bba70

M3 - Poster

T2 - 8th ESA EO Summer School

Y2 - 1 August 2016 through 12 August 2016

ER -

Gazing at clouds to understand turbulence on wind turbine airfoils

Abstract

Conference

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