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Evaluation of a Wind Farm Parametrization for Mesoscale Atmospheric Flow Models with Aircraft Measurements

Siedersleben, Simon K.; Platis, Andreas; Lundquist, Julie K.; Lampert, Astrid; Bärfuss, Konrad; Canadillas, Beatriz; Djath, Bughsin; Schulz-Stellenfleth, Johannes; Bange, Jens; Neumann, Thomas; Emeis, Stefan

Large offshore wind farms are usually clustered around transmission grids to minimize the expense of
transmission and due to space military zones, pipelines and constrains due to other uses such as nature
preserves. However, this close proximity can undermine power production in downwind wind farms due
to wakes from upwind wind farms. Therefore, the wind energy industry has great interest in determining the
spatial dimensions of offshore wind farm wakes to assess the economical potential of planned wind farms. In
this work we use wake measurements conducted by a research aircraft to evaluate the performance of a wind
farm parameterization (WFP) in a mesoscale model during stably-stratified atmospheric conditions, in which
the wake is expected to be the strongest. The observations were conducted on the 10 September 2016 within
the project WIPAFF (Wind PArk Far Field) at the North Sea. The observations allow evaluation of both the
horizontal and the vertical dimensions of the wake. The model simulates the length and most of the time the
spatial dimensions of the wake. Further, we show that the largest potential for improving ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000088105
Veröffentlicht am 04.01.2019
DOI: 10.1127/metz/2018/0900
Seitenaufrufe: 32
seit 04.12.2018
Downloads: 28
seit 04.01.2019
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 0941-2948
KITopen-ID: 1000088105
HGF-Programm 12.02.04 (POF III, LK 01)
Erschienen in Meteorologische Zeitschrift
Band 27
Heft 5
Seiten 401-415
Projektinformation WIPAFF; TP (BMWi, 0325783A)
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 28.09.2018
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