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  4. Evaluation of Engineering Models for Large‐Scale Cluster Wakes with the Help of In Situ Airborne Measurements
 
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July 25, 2024
Journal Article
Title

Evaluation of Engineering Models for Large‐Scale Cluster Wakes with the Help of In Situ Airborne Measurements

Abstract
The planned expansion of wind energy in the German Bight is creating much more densely staggered wind farms and wind farm clusters. This results in a significantly greater influence of the generated wakes on energy production of neighboring wind farms. The Dornier‐128 research aircraft operated by the Technische UniversitƤt of Braunschweig was used to measure the wind field in the lee of single and multiple wind farm clusters in the German Bight on 4 days during July 2020 and July 2021. The data at 120 m aMSL (above mean sea level) were analyzed to identify wake areas and the wind speed decrease behind the wind farm clusters. The observations were then compared to a range of numerical data including the mesoscale model Weather Research and Forecasting (WRF) applying a wind farm parameterization (WRF with wind farm parameterization [WRF‐WF]) to model wake effects and an engineering model with different setups. A model calibrated on a single wind farm is established as the baseline. A modification with a lower wake recovery, the TurbOPark model, and a WRF‐coupled model make up the three additional declinations considered. Overall, the models compared well to the measurement data in the direct vicinity of the wind farms and up to 20-30 km downstream of the wind farm clusters. The accuracy in wind speed prediction of the model results decreased with distance to the wind farms, where the mesoscale model (WRF‐WF) exhibited a more consistent performance across varying distances.
Author(s)
Berge, Kjell zum
Centurelli, Gabriele
DƶrenkƤmper, Martin  
Fraunhofer-Institut für Windenergiesysteme IWES  
Bange, Jens
Platis, Andreas
Journal
Wind energy  
Project(s)
Interaktion der NachlƤufe großer Offshore-Windparks und Windparkcluster mit der marinen atmosphƤrischen Grenzschicht  
Funder
Bundesministerium für Wirtschaft und Klimaschutz  
Open Access
DOI
10.1002/we.2942
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
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