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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Preprints
https://doi.org/10.5194/wes-2020-82
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2020-82
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Jun 2020

18 Jun 2020

Review status
A revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

The most similar predictor – on selecting measurement locations for wind resource assessment

Andreas Bechmann1, Juan Pablo M. Leon1, Bjarke T. Olsen1, and Yavor V. Hristov2 Andreas Bechmann et al.
  • 1DTU Wind Energy, Denmark
  • 2Vestas Wind Systems A/S, Denmark

Abstract. We present the most similar-method for conducting wind resource assessments with multiple wind measurements and for the optimal design of measurement campaigns.

Wind resource assessment is generally done by extrapolating a measured and long-term corrected wind climate at one location to a new location using a flow model. If several measurement locations are available, standard industry practice is to make a weighted average of all the predictions using inverse-distance weighting. The most similar-method challenges this practice. Instead of weighting several predictions, the method only selects the measurement location evaluated most similar.

We validate the new approach by comparing against measurements from 185 met masts from 40 wind farm sites and show improvements compared to inverse-distance weighting. Compared to using the closest measurement location, the error of power density predictions is reduced by 13 % using inverse-distance weighting and 34 % using the most similar-method.

Andreas Bechmann et al.

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Andreas Bechmann et al.

Andreas Bechmann et al.

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Latest update: 01 Dec 2020
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Short summary
When assessing the wind resources for wind farm development, the first step is to measure the wind from tall meteorology masts. As met masts are expensive, they are not built at every planned wind turbine position but sparsely while trying to minimise the distance. However, this paper shows that it is better to focus on the similarity between the met mast and the wind turbines than the distance. Met masts at similar positions reduce the uncertainty of wind resource assessments significantly.
When assessing the wind resources for wind farm development, the first step is to measure the...
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