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
相关论文
共 50 条
  • [31] Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm
    Abkar, Mahdi
    Sharifi, Ahmad
    Porte-Agel, Fernando
    WAKE CONFERENCE 2015, 2015, 625
  • [32] Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization
    Munters, Wim
    Meyers, Johan
    ENERGIES, 2018, 11 (01):
  • [33] CHARACTERIZING IMPACTS OF ATMOSPHERIC TURBULENCE ON WIND FARMS THROUGH LARGE EDDY SIMULATION (LES)
    Alam, Jahrul M.
    Afanassiev, Anton
    Singh, Jagdeep
    PROCEEDINGS OF THE ASME 38TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2019, VOL 10, 2019,
  • [34] Modeling large offshore wind farms under different atmospheric stability regimes with the Park wake model
    Pena, Alfredo
    Rethore, Pierre-Elouan
    Rathmann, Ole
    RENEWABLE ENERGY, 2014, 70 : 164 - 171
  • [35] Wake properties and power output of very large wind farms for different meteorological conditions and turbine spacings: a large-eddy simulation case study for the German Bight
    Maas, Oliver
    Raasch, Siegfried
    WIND ENERGY SCIENCE, 2022, 7 (02) : 715 - 739
  • [36] Large-eddy simulation of wind-blown sand under unstable atmospheric boundary layer
    He, Panli
    Zhang, Jie
    Herrmann, Hans J.
    Huang, Ning
    SCIENCE BULLETIN, 2022, 67 (14) : 1421 - 1424
  • [37] A Large-Eddy Simulation Study of Vertical Axis Wind Turbine Wakes in the Atmospheric Boundary Layer
    Shamsoddin, Sina
    Porte-Agel, Fernando
    ENERGIES, 2016, 9 (05):
  • [38] Large-Eddy Simulation of Yawed Wind-Turbine Wakes: Comparisons with Wind Tunnel Measurements and Analytical Wake Models
    Lin, Mou
    Porte-Agel, Fernando
    ENERGIES, 2019, 12 (23)
  • [39] Large-eddy simulation of offshore wind plants and fatigue load mitigation via pitch control strategies
    Lee, Sang
    Kim, Kyong-hwan
    Lee, Kangsu
    Park, Sewan
    Hong, Keyyong
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2018, 10 (03)
  • [40] A dynamic wall modeling approach for large eddy simulation of offshore wind farms in realistic oceanic conditions
    Aiyer, A. K.
    Deike, L.
    Mueller, M. E.
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2024, 16 (01)