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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Volume 2, issue 2
Wind Energ. Sci., 2, 507–520, 2017
https://doi.org/10.5194/wes-2-507-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Wind Energ. Sci., 2, 507–520, 2017
https://doi.org/10.5194/wes-2-507-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 16 Nov 2017

Research article | 16 Nov 2017

An engineering model for 3-D turbulent wind inflow based on a limited set of random variables

Manuel Fluck and Curran Crawford

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (15 Sep 2017) by Horia Hangan
AR by Svenja Lange on behalf of the Authors (28 Sep 2017)  Author's response
ED: Publish as is (28 Sep 2017) by Horia Hangan
ED: Publish as is (10 Oct 2017) by Carlo L. Bottasso(Chief Editor)
Publications Copernicus
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Short summary
We present an engineering model of 3-D turbulent wind inflow which reduces the number of random variables required from tens of thousands to ~ 20. This new model is a vital step towards stochastic modelling of wind turbines. Such models can quickly assess turbine lifetime loads and fluctuating power output and thus can be used to design better turbines. However, stochastic models are only viable when the input is expressed with very few random variables, hence the new wind model presented here.
We present an engineering model of 3-D turbulent wind inflow which reduces the number of random...
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