Investigating energy production and wake losses of multi-gigawatt offshore wind farms with atmospheric large-eddy simulation

被引:7
|
作者
Baas, Peter [1 ]
Verzijlbergh, Remco [1 ,2 ]
van Dorp, Pim [1 ]
Jonker, Harm [1 ,3 ]
机构
[1] Whiffle, Molengraaffsingel 8, NL-2629 JD Delft, Netherlands
[2] Delft Univ Technol, Dept Engn Syst & Serv, Jaffalaan 5, NL-2628 BX Delft, Netherlands
[3] Delft Univ Technol, Dept Geosci & Remote Sensing, Stevinweg 1, NL-2628 CN Delft, Netherlands
关键词
FORMULATION;
D O I
10.5194/wes-8-787-2023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a consequence of the rapid growth of the globally installed offshore wind energy capacity, the size of individual wind farms is increasing. This poses a challenge to models that predict energy production. For instance, the current generation of wake models has mostly been calibrated on existing wind farms of much smaller size. This work analyzes annual energy production and wake losses for future, multi-gigawatt wind farms with atmospheric large-eddy simulation. To that end, 1 year of actual weather has been simulated for a suite of hypothetical 4 GW offshore wind farm scenarios. The scenarios differ in terms of applied turbine type, installed capacity density, and layout. The results suggest that production numbers increase significantly when the rated power of the individual turbines is larger while keeping the total installed capacity the same. Even for turbine types with similar rated power but slightly different power curves, significant differences in production were found. Although wind speed was identified as the most dominant factor determining the aerodynamic losses, a clear impact of atmospheric stability and boundary layer height has been identified. By analyzing losses of the first-row turbines, the yearly average global-blockage effect is estimated to between 2 and 3 %, but it can reach levels over 10 % for stably stratified conditions and wind speeds around 8 m s(-1). Using a high-fidelity modeling technique, the present work provides insights into the performance of future, multi-gigawatt wind farms for a full year of realistic weather conditions.
引用
收藏
页码:787 / 805
页数:19
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