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

Journal Article · · Meteorologische Zeitschrift (Berlin)
 [1];  [2];  [3];  [4];  [4];  [5];  [6];  [6];  [2];  [5];  [1]
  1. Karlsruhe Inst. of Technology (KIT) Garmisch-Partenkirchen (Germany). IMK-IFU
  2. Univ. of Tübingen, Tübingen, Baden-Württemberg (Germany)
  3. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. Technische Univ. Braunschweig, Braunschweig, Lower Saxony (Germany)
  5. UL–DEWI GmbH, Wilhelmshaven (Germany)
  6. Helmholtz Zentrum Geesthacht, Geesthacht (Germany). Inst. for Coastal Research.

Large offshore wind farms are usually clustered around transmission grids to minimize the expense of transmission, due to military zones, pipelines, and 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 the performance of the WFP is rooted in an improvement of the background flow. This is due to the fact that the mesoscale model has problems representing the atmospheric boundary layer in the transition between land to open sea.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
German Federal Ministry of Economic Affairs and Energy; Deutsche Forschungsgemeinschaft; Karlsruhe Institute of Technology; National Science Foundation (NSF)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1507285
Report Number(s):
NREL/JA--5000-73670
Journal Information:
Meteorologische Zeitschrift (Berlin), Journal Name: Meteorologische Zeitschrift (Berlin) Journal Issue: 5 Vol. 27; ISSN 0941-2948
Country of Publication:
United States
Language:
English

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Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models journal February 2020
U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence journal May 2019
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Cluster wakes impact on a far distant offshore wind farm's power preprint August 2019
Cluster wakes impact on a far-distant offshore wind farm's power journal January 2020
Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models text January 2020
Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1) text January 2020

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