The influence of wing twist on pressure distribution and flow topology

Janik Kiefer; N N Sørensen; M Hultmark; Martin Otto Laver Hansen

doi:10.1088/1742-6596/1037/2/022036

The influence of wing twist on pressure distribution and flow topology

Janik Kiefer^*
, N N Sørensen
, M Hultmark
, Martin Otto Laver Hansen

^*Corresponding author for this work

Princeton University

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

Empirical data serve as the foundation to computational modeling in the initial stages of the wind turbine design process. In case of aerodynamic simulations, the empirical input is comprised of lift and drag data obtained in quasi two-dimensional wind tunnel tests. In the simulations, the global flow over an entire blade is finally approximated as a spatial summation of the obtained 2-D data, which stands in strong contrast to the true operation of a wind turbine and consequently leads to a higher level of uncertainty. Especially, the near-root region of the blade experiences highly three-dimensional flow conditions, particularly in regions of the blade where the flow separates from the airfoil. This study aims to accentuate the difference between airfoil data obtained in quasi two-dimensional wind tunnel tests compared to airfoil data from a wing with an imposed three-dimensional spanwise pressure gradient. For this, a geometrically altered wing section with a spanwise twist is tested in a wind tunnel and compared to CFD computations.

Original language	English
Article number	022036
Book series	Journal of Physics: Conference Series
Volume	1037
Issue number	2
Number of pages	8
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/1037/2/022036
Publication status	Published - 2018
Event	The Science of Making Torque from Wind 2018 - Politecnico di Milano (POLIMI), Milan, Italy Duration: 20 Jun 2018 → 22 Jun 2018 Conference number: 7 http://www.torque2018.org/

Conference

Conference	The Science of Making Torque from Wind 2018
Number	7
Location	Politecnico di Milano (POLIMI)
Country/Territory	Italy
City	Milan
Period	20/06/2018 → 22/06/2018
Internet address	http://www.torque2018.org/

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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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title = "The influence of wing twist on pressure distribution and flow topology",

abstract = " Empirical data serve as the foundation to computational modeling in the initial stages of the wind turbine design process. In case of aerodynamic simulations, the empirical input is comprised of lift and drag data obtained in quasi two-dimensional wind tunnel tests. In the simulations, the global flow over an entire blade is finally approximated as a spatial summation of the obtained 2-D data, which stands in strong contrast to the true operation of a wind turbine and consequently leads to a higher level of uncertainty. Especially, the near-root region of the blade experiences highly three-dimensional flow conditions, particularly in regions of the blade where the flow separates from the airfoil. This study aims to accentuate the difference between airfoil data obtained in quasi two-dimensional wind tunnel tests compared to airfoil data from a wing with an imposed three-dimensional spanwise pressure gradient. For this, a geometrically altered wing section with a spanwise twist is tested in a wind tunnel and compared to CFD computations. ",

author = "Janik Kiefer and S{\o}rensen, \{N N\} and M Hultmark and Hansen, \{Martin Otto Laver\}",

note = "Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.; The Science of Making Torque from Wind 2018, TORQUE 2018 ; Conference date: 20-06-2018 Through 22-06-2018",

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N2 - Empirical data serve as the foundation to computational modeling in the initial stages of the wind turbine design process. In case of aerodynamic simulations, the empirical input is comprised of lift and drag data obtained in quasi two-dimensional wind tunnel tests. In the simulations, the global flow over an entire blade is finally approximated as a spatial summation of the obtained 2-D data, which stands in strong contrast to the true operation of a wind turbine and consequently leads to a higher level of uncertainty. Especially, the near-root region of the blade experiences highly three-dimensional flow conditions, particularly in regions of the blade where the flow separates from the airfoil. This study aims to accentuate the difference between airfoil data obtained in quasi two-dimensional wind tunnel tests compared to airfoil data from a wing with an imposed three-dimensional spanwise pressure gradient. For this, a geometrically altered wing section with a spanwise twist is tested in a wind tunnel and compared to CFD computations.

AB - Empirical data serve as the foundation to computational modeling in the initial stages of the wind turbine design process. In case of aerodynamic simulations, the empirical input is comprised of lift and drag data obtained in quasi two-dimensional wind tunnel tests. In the simulations, the global flow over an entire blade is finally approximated as a spatial summation of the obtained 2-D data, which stands in strong contrast to the true operation of a wind turbine and consequently leads to a higher level of uncertainty. Especially, the near-root region of the blade experiences highly three-dimensional flow conditions, particularly in regions of the blade where the flow separates from the airfoil. This study aims to accentuate the difference between airfoil data obtained in quasi two-dimensional wind tunnel tests compared to airfoil data from a wing with an imposed three-dimensional spanwise pressure gradient. For this, a geometrically altered wing section with a spanwise twist is tested in a wind tunnel and compared to CFD computations.

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The influence of wing twist on pressure distribution and flow topology

Abstract

Conference

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