Articles | Volume 5, issue 4
Wind Energ. Sci., 5, 1679–1688, 2020
Wind Energ. Sci., 5, 1679–1688, 2020
Research article
02 Dec 2020
Research article | 02 Dec 2020

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

Andreas Bechmann et al.

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Cited articles

Bowen, A. J. and Mortensen, N. G.: WAsP prediction errors due to site orography, Risø National Laboratory, Roskilde, Denmark, 2004. a
Clerc, A., Anderson, M., Stuart, P., and Habenicht, G.: A systematic method for quantifying wind flow modelling uncertainty in wind resource assessment, J. Wind Eng. Indust. Aerodynam., 111, 85–94,, 2012. a, b, c
Landberg, L., Mortensen, N. G., Rathmann, O., and Myllerup, L.: The similarity principle – on using models correctly, in: European Wind Energy Conference and Exhibition Proceedings (CD-ROM. CD 2): 3, 16–19 June 2003, Madrid, Spain, 2003. a, b
MEASNET procedure: evaluation of site-specific wind conditions, Version 2, available at:, last access: April 2016. a, b, c
Troen, I. and Hansen, B. O.: Wind resource estimation in complex terrain: prediction skill of linear and nonlinear micro-scale models, in: AWEA Windpower Conference & Exhibition, 18–21 May 2015, Orlando, FL, USA, 2015. a
Short summary
When assessing wind resources for wind farm development, the first step is to measure the wind from tall meteorological masts. As met masts are expensive, they are not built at every planned wind turbine position but sparsely while trying to minimize 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.