In search for a canonical design ABL stability class for wind farm turbines

Gunner Chr. Larsen; David Robert Verelst; Franck Bertagnolio; Søren Ott; Abhijit S. Chougule

doi:10.1088/1742-6596/753/3/032015

In search for a canonical design ABL stability class for wind farm turbines

Gunner Chr. Larsen, David Robert Verelst, Franck Bertagnolio, Søren Ott, Abhijit S. Chougule

University of Agder

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

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Abstract

Production as well as loading of wake exposed wind turbines is known to depend significantly on stability of the Atmospheric Boundary Layer (ABL), which adds a new dimension to design of wind farm turbines. Adding this new aspect in wind turbine design makes the number of design cycle computations to blow up with a factor equal to the number of representative stability bin classes. The research question to be answered in this paper is: Can an ABL stability probability distribution in a meaningful way be collapsed into a representative design stability class as based on a (predefined) confidence level.

Original language	English
Article number	032015
Book series	Journal of Physics: Conference Series (Online)
Volume	753
Issue number	3
Number of pages	10
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/753/3/032015
Publication status	Published - 2016
Event	The Science of Making Torque from Wind 2016 - Technische Universität München (TUM), Munich, Germany Duration: 5 Oct 2016 → 7 Oct 2016 Conference number: 6 https://www.events.tum.de/?sub=29

Conference

Conference	The Science of Making Torque from Wind 2016
Number	6
Location	Technische Universität München (TUM)
Country/Territory	Germany
City	Munich
Period	05/10/2016 → 07/10/2016
Internet address	https://www.events.tum.de/?sub=29

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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 = "In search for a canonical design ABL stability class for wind farm turbines",

abstract = "Production as well as loading of wake exposed wind turbines is known to depend significantly on stability of the Atmospheric Boundary Layer (ABL), which adds a new dimension to design of wind farm turbines. Adding this new aspect in wind turbine design makes the number of design cycle computations to blow up with a factor equal to the number of representative stability bin classes. The research question to be answered in this paper is: Can an ABL stability probability distribution in a meaningful way be collapsed into a representative design stability class as based on a (predefined) confidence level.",

author = "Larsen, {Gunner Chr.} and Verelst, {David Robert} and Franck Bertagnolio and S{\o}ren Ott and Chougule, {Abhijit S.}",

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 2016, TORQUE 2016 ; Conference date: 05-10-2016 Through 07-10-2016",

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AU - Larsen, Gunner Chr.

AU - Verelst, David Robert

AU - Bertagnolio, Franck

AU - Ott, Søren

AU - Chougule, Abhijit S.

N1 - Conference code: 6

PY - 2016

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N2 - Production as well as loading of wake exposed wind turbines is known to depend significantly on stability of the Atmospheric Boundary Layer (ABL), which adds a new dimension to design of wind farm turbines. Adding this new aspect in wind turbine design makes the number of design cycle computations to blow up with a factor equal to the number of representative stability bin classes. The research question to be answered in this paper is: Can an ABL stability probability distribution in a meaningful way be collapsed into a representative design stability class as based on a (predefined) confidence level.

AB - Production as well as loading of wake exposed wind turbines is known to depend significantly on stability of the Atmospheric Boundary Layer (ABL), which adds a new dimension to design of wind farm turbines. Adding this new aspect in wind turbine design makes the number of design cycle computations to blow up with a factor equal to the number of representative stability bin classes. The research question to be answered in this paper is: Can an ABL stability probability distribution in a meaningful way be collapsed into a representative design stability class as based on a (predefined) confidence level.

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ER -

In search for a canonical design ABL stability class for wind farm turbines

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