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A statistical model for wake meandering behind wind turbines
Innogy SE, Wind Onshore, Kapstadtring 7, D-22297 Hamburg, Germany..
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Engineering Sciences (SCI), Mechanics. (STandUP Wind)ORCID iD: 0000-0001-8667-0520
2019 (English)In: Journal of Wind Engineering and Industrial Aerodynamics, ISSN 0167-6105, E-ISSN 1872-8197, Vol. 193, article id UNSP 103954Article in journal (Refereed) Published
Abstract [en]

A new wake model is proposed to account for wake meandering in simulations of wind-turbine wakes performed on steady solvers, through a wake-meandering description based on the dispersion theory of Taylor (1921, P. Lond. Math Soc., vol. 20, pp. 196-211). Single-turbine simulations were performed by means of the linearised solver ORFEUS. By analysing the steady wake behind a turbine, a set of parameters describing the wake was first obtained and synthesised into a look-up table. The proposed meandering model extended the simulation results by superimposing the lateral and vertical meandering motions to the steady wake. As a result, the time-averaged velocity distribution of the wake was increased in width and reduced in intensity. Through this combination, the model provides rationale for the wake-deficit decrease and for the power underestimation effects of several wake models. The new wake model is validated against the Lillgrund and Horns Rev data sets.

Place, publisher, year, edition, pages
ELSEVIER , 2019. Vol. 193, article id UNSP 103954
Keywords [en]
Numerical wake model, Linearised RANS, Wake meandering, Atmospheric dispersion
National Category
Mechanical Engineering
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-262777DOI: 10.1016/j.jweia.2019.103954ISI: 000488140800014Scopus ID: 2-s2.0-85071502422OAI: oai:DiVA.org:kth-262777DiVA, id: diva2:1363037
Note

QC 20191022

Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-11-26Bibliographically approved

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Segalini, Antonio

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