Articles | Volume 5, issue 3
Wind Energ. Sci., 5, 1097–1120, 2020

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 1097–1120, 2020
Research article
24 Aug 2020
Research article | 24 Aug 2020

Clustering wind profile shapes to estimate airborne wind energy production

Mark Schelbergen et al.

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Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24, National Geophysical Data Center, NOAA,, 2009. a
Basu, S.: A simple recipe for estimating atmospheric stability solely based on surface-layer wind speed profile, Wind Energy, 21, 937–941,, 2018. a
Bechtle, P., Schelbergen, M., Schmehl, R., Zillmann, U., and Watson, S.: Airborne wind energy resource analysis, Renew. Energ., 141, 1103–1116,, 2019. a
Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Hansen-Sass, B., Homleid, M., Hortal, M., Ivarsson, K.-I., Lenderink, G., Niemelä, S., Nielsen, K. P., Onvlee, J., Rontu, L., Samuelsson, P., Muñoz, D. S., Subias, A., Tijm, S., Toll, V., Yang, X., and Køltzow, M. Ø.: The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System, Mon. Weather Rev., 145, 1919–1935,, 2017. a
Brown, A. R., Beljaars, A. C. M., Hersbach, H., Hollingsworth, A., Miller, M., and Vasiljevic, D.: Wind turning across the marine atmospheric boundary layer, Q. J. Roy. Meteor. Soc., 131, 1233–1250,, 2005. a

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Short summary
We have presented a methodology for including multiple wind profile shapes in a wind resource description that are identified using a data-driven approach. These shapes go beyond the height range for which conventional wind profile relationships are developed. Moreover, they include non-monotonic shapes such as low-level jets. We demonstrated this methodology for an on- and offshore reference location using DOWA data and efficiently estimated the annual energy production of a pumping AWE system.