A numerical simulation framework for wakes downstream of large wind farms based on equivalent roughness model

被引:0
|
作者
Jia, Rui [1 ]
Ge, Mingwei [1 ]
Zhang, Ziliang [2 ]
Li, Xintao [1 ]
Du, Bowen [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
[2] China Three Gorges Corp, Sci & Technol Res Inst, Beijing 101199, Peoples R China
基金
中国国家自然科学基金;
关键词
Large-scale wind farm; Wind-farm wakes; Equivalent roughness model; OpenFOAM; SUBGRID-SCALE MODEL; ACTUATOR DISK; ENERGY; PARAMETERIZATION; SENSITIVITY; TURBULENCE; IMPACTS; SURFACE; CHINA; POWER;
D O I
10.1016/j.energy.2024.132600
中图分类号
O414.1 [热力学];
学科分类号
摘要
Accurate assessment of the wake effect of wind farm clusters is of great significance for the development of wind power bases, yet there is currently a deficiency in numerical simulation methods with high accuracy and simple modeling. To address this issue, a numerical simulation framework for large wind-farm wakes based on a wind farm parameterization model is proposed, and is then implemented based on the open-source CFD software OpenFOAM. In this framework, a newly proposed wind farm equivalent roughness model is adopted to parameterize wind farms and incorporated into the simulation via the wall stress model. To validate the method, the large-eddy simulation based on the actuator disk model resolving all the turbines in the wind farm is taken as a benchmark. Thirty two cases including spanwise infinite wind farms and finite wind farms with different streamwise turbine spacings, spanwise turbine spacings, wind turbine thrust coefficients, and roughness lengths of ground surface are set to analyze the sensitivity of the framework to different wind farm parameters. Results show that the proposed method predicts the velocity deficit and turbulence intensity downstream of the wind farm accurately. Compared to the classical wake superposition model, the prediction accuracy of the velocity deficit is improved by more than 30 %. Furthermore, without resolving the turbines using fine mesh, the framework shows a high potential to reduce computational costs compared with the turbine-resolved simulation.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] A new coupled model for the equivalent roughness heights of wind farms
    Zhang, Huan
    Ge, Mingwei
    Liu, Yongqian
    Yang, Xiang I. A.
    [J]. RENEWABLE ENERGY, 2021, 171 : 34 - 46
  • [2] Large-eddy simulation of multiple wakes in offshore wind farms
    Witha, B.
    Steinfeld, G.
    Doerenkaemper, M.
    Heinemann, D.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND 2012, 2014, 555
  • [3] Wakes in very large wind farms and the effect of neighbouring wind farms
    Nygaard, Nicolai Gayle
    [J]. SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
  • [4] Modelling and measurements of wakes in large wind farms
    Barthelmie, R. J.
    Rathmann, O.
    Frandsen, S. T.
    Hansen, K.
    Politis, E.
    Prospathopoulos, J.
    Rados, K.
    Cabezon, A.
    Schlez, W.
    Phillips, J.
    Neubert, A.
    Schepers, J. G.
    van der Pijl, S. P.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND, 2007, 75
  • [5] Exploring the wakes of large offshore wind farms
    Emeis, S.
    Siedersleben, S.
    Lampert, A.
    Platis, A.
    Bange, J.
    Djath, B.
    Schulz-Stellenfleth, J.
    Neumann, T.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), 2016, 753
  • [6] Impact of wind farm wakes on flow structures in and around downstream wind farms
    Stieren, Anja
    Stevens, Richard J. A. M.
    [J]. FLOW, 2022, 2
  • [7] Upward Shift of Wind Turbine Wakes in Large Wind Farms
    Wang, Zewei
    Yang, Xiaolei
    [J]. ENERGIES, 2023, 16 (24)
  • [8] The Atmospheric Stability Dependence of Far Wakes on the Power Output of Downstream Wind Farms
    Foreman, Richard J.
    Canadillas, Beatriz
    Robinson, Nick
    [J]. ENERGIES, 2024, 17 (02)
  • [9] Numerical simulation and model prediction of complex wind-turbine wakes
    Song, Yi-Lei
    Tian, Lin-Lin
    Zhao, Ning
    [J]. JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2021, 44 (07) : 627 - 636
  • [10] Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore
    Barthelmie, R. J.
    Hansen, K.
    Frandsen, S. T.
    Rathmann, O.
    Schepers, J. G.
    Schlez, W.
    Phillips, J.
    Rados, K.
    Zervos, A.
    Politis, E. S.
    Chaviaropoulos, P. K.
    [J]. WIND ENERGY, 2009, 12 (05) : 431 - 444