A Large Eddy Simulation framework to assess wind farm power maximization strategies: Validation of maximization by yawing

被引:9
|
作者
Draper, M. [1 ]
Guggeri, A. [1 ]
Lopez, B. [1 ]
Diaz, A. [1 ]
Campagnolo, F. [2 ]
Usera, G. [1 ]
机构
[1] Univ Repbl, Fac Ingn, Julio Herrera y Resissig 565, Montevideo, Uruguay
[2] Tech Univ Munich, Wind Energy Inst, Boltzmannstr 15, D-85748 Garching, Germany
来源
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018) | 2018年 / 1037卷
关键词
FLOWS; MODEL;
D O I
10.1088/1742-6596/1037/7/072051
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Recently, there has been an increasing interest in the academic community as well as in the industrial sector about the operation and control of a wind farm at a farm level. This new paradigm has different purposes, from maximizing power production through wake modulation to active power control. The former has been extensively analyzed with numerical or physical modelling, finding in general an improvement in the power production by yawing the wind turbine rotors. The aim of the present paper is to compare both approaches, by taking into account results from state of the art numerical simulations and wind tunnel campaigns. A case with three model wind turbines subject to an atmospheric boundary layer like in flow condition will be studied.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Wind farm distributed PSO-based control for constrained power generation maximization
    Gionfra, Nicolo
    Sandou, Guillaume
    Siguerdidjane, Houria
    Faille, Damien
    Loevenbruck, Philippe
    RENEWABLE ENERGY, 2019, 133 : 103 - 117
  • [22] Wind tunnel testing of a closed-loop wake deflection controller for wind farm power maximization
    Campagnolo, Filippo
    Petrovic, Vlaho
    Schreiber, Johannes
    Nanos, Emmanouil M.
    Croce, Alessandro
    Bottasso, Carlo L.
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), 2016, 753
  • [23] Large eddy simulation study of the humidity variation in the shadow of a large wind farm
    Haywood, John Stephen
    Sescu, Adrian
    Adkins, Kevin Allan
    WIND ENERGY, 2020, 23 (02) : 423 - 431
  • [24] Large eddy simulation studies of the effects of alignment and wind farm length
    Stevens, Richard J. A. M.
    Gayme, Dennice F.
    Meneveau, Charles
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2014, 6 (02)
  • [25] Optimal Connection of Offshore Wind Farm with Maximization of Wind Capacity to Power Systems considering Losses and Security Constraints
    Vasconcelos, Leandro A.
    Passos Filho, Joao A.
    de Oliveira, Leonardo W.
    Avila, Othon F.
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2019, 2019
  • [26] An integrated maintenance and power generation forecast by ANN approach based on availability maximization of a wind farm
    Sa'ad, Aisha
    Nyoungue, Aime C.
    Hajej, Zied
    ENERGY REPORTS, 2022, 8 : 282 - 301
  • [27] Distributed Extremum-Seeking for Wind Farm Power Maximization Using Sliding Mode Control
    Salamah, Yasser Bin
    Ozguner, Umit
    ENERGIES, 2021, 14 (04)
  • [28] Large-eddy simulation study of wind farm active power control with a coordinated load distribution
    Vali, M.
    Petrovic, V.
    Steinfeld, G.
    Pao, L. Y.
    Kuehn, M.
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
  • [29] Proof-of-concept of a reinforcement learning framework for wind farm energy capture maximization in time-varying wind
    Stanfel, P.
    Johnson, K.
    Bay, C. J.
    King, J.
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2021, 13 (04)
  • [30] A Wind Farm Power Maximization Method Based on Multi-Strategy Improved Sparrow Search Algorithm
    Bo, Gu
    Man, Dandan
    Meng, Zhong
    Zhang, Hongtao
    Hu, Hao
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2024, 146 (03):