Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production

Frederik Zahle; Niels N. Sørensen; Michael K. McWilliam; Athanasios Barlas

doi:10.1088/1742-6596/1037/4/042013

Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production

Frederik Zahle^*, Niels N. Sørensen, Michael K. McWilliam, Athanasios Barlas

^*Corresponding author for this work

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

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Abstract

This article presents a design study into the redesign of a wind turbine blade tip seeking to increase the energy production subject to the loads constraints of the existing blade. The blade shape is parameterized to allow for planform changes in the tip region with respect to chord, twist and blade length extension, and additionally three parameters that allow to explore winglet-like shapes. The design strategy uses 3D computational fluid dynamics computations of the geometrically resolved rotor to create a surrogate model, after which the tip shape is numerically optimized based on the surrogate model, subject to a number of geometric and loads-based constraints. The study shows that it is possible to increase power production by 2.6% for a blade extension with a winglet, without increasing the flapwise bending moment at 90% radius, whereas for a straight blade extension it was only possible to achieve an increase of 0.76%.

Original language	English
Article number	042013
Book series	Journal of Physics: Conference Series
Volume	1037
Issue number	4
Number of pages	10
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/1037/4/042013
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	Italy
City	Milan
Period	20/06/2018 → 22/06/2018
Internet address	http://www.torque2018.org/

Bibliographical note

Content from this work may be used under the terms of theCreative 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. Published under licence by IOP Publishing Ltd

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Cite this

Zahle, F., Sørensen, N. N., McWilliam, M. K., & Barlas, A. (2018). Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production. Journal of Physics: Conference Series, 1037(4), [042013]. https://doi.org/10.1088/1742-6596/1037/4/042013

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title = "Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production",

abstract = " This article presents a design study into the redesign of a wind turbine blade tip seeking to increase the energy production subject to the loads constraints of the existing blade. The blade shape is parameterized to allow for planform changes in the tip region with respect to chord, twist and blade length extension, and additionally three parameters that allow to explore winglet-like shapes. The design strategy uses 3D computational fluid dynamics computations of the geometrically resolved rotor to create a surrogate model, after which the tip shape is numerically optimized based on the surrogate model, subject to a number of geometric and loads-based constraints. The study shows that it is possible to increase power production by 2.6% for a blade extension with a winglet, without increasing the flapwise bending moment at 90% radius, whereas for a straight blade extension it was only possible to achieve an increase of 0.76%. ",

author = "Frederik Zahle and S{\o}rensen, {Niels N.} and McWilliam, {Michael K.} and Athanasios Barlas",

note = "Content from this work may be used under the terms of theCreative 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. Published under licence by IOP Publishing Ltd; The Science of Making Torque from Wind 2018, TORQUE 2018 ; Conference date: 20-06-2018 Through 22-06-2018",

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Computational fluid dynamics-based surrogate optimization of a wind turbine blade tip extension for maximising energy production. / Zahle, Frederik ; Sørensen, Niels N.; McWilliam, Michael K.; Barlas, Athanasios.

In: Journal of Physics: Conference Series, Vol. 1037, No. 4, 042013, 2018.

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

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AB - This article presents a design study into the redesign of a wind turbine blade tip seeking to increase the energy production subject to the loads constraints of the existing blade. The blade shape is parameterized to allow for planform changes in the tip region with respect to chord, twist and blade length extension, and additionally three parameters that allow to explore winglet-like shapes. The design strategy uses 3D computational fluid dynamics computations of the geometrically resolved rotor to create a surrogate model, after which the tip shape is numerically optimized based on the surrogate model, subject to a number of geometric and loads-based constraints. The study shows that it is possible to increase power production by 2.6% for a blade extension with a winglet, without increasing the flapwise bending moment at 90% radius, whereas for a straight blade extension it was only possible to achieve an increase of 0.76%.

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