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The analytical wind farm efficiency and wake model EFFWAKE

Emeis, Stefan ORCID iD icon

Abstract (englisch):

About 10 years ago the analytical wind farm efficiency and wake model EFFWAKE was developed which is based on a simple budget consideration between extracted momentum from the wind by a wind farm and re-supplied momentum from higher atmospheric levels (Emeis 2010). The spread-sheet-based model is able to calculate the efficiency and the length of the trailing wake of infinitely large wind farms as a function of farm power density, roughness of the surface on which the farm is built, and atmospheric thermal stability. Driving force is the undisturbed wind speed at hub height. In its latest version (Emeis 2018) EFFWAKE also considers the turbulence generated by the operating wind turbines.

When EFFWAKE was developed it could only be checked against existing other numerical wind farm models, because large wind farms which came close to the assumptions on which EFFWAKE is based were not yet existing. Main assumption is that replenishment of extracted momentum only happens by turbulent fluxes from above but not from the sides of the farm. The impact of this assumption will be demonstrated by a comparison with an industry model in which the farm size is varied while keeping the spatial power density of the farm constant.
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Volltext §
DOI: 10.5445/IR/1000133349
Veröffentlicht am 02.06.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Vortrag
Publikationsdatum 26.05.2021
Sprache Englisch
Identifikator KITopen-ID: 1000133349
HGF-Programm 12.11.11 (POF IV, LK 01) Urban Climate and Air Quality
Veranstaltung 3rd Wind Energy Science Conference (WESC 2021), Online, 25.05.2021 – 28.05.2021
Projektinformation X-Wakes (BMWK, 03EE3008C)
Schlagwörter wind energy, wind farm, wake, analytical model
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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