WIND TURBINE WAKE CALCULATION AND WIND FARM LAYOUT OPTIMIzATION BASED ON TWO-DIMENSIONAL AGENT MODEL

被引：0
|
作者：
Long H. [1 ]
Li Z. [1 ]
Pan Y. [2 ]
机构：
[1] College of Civil Engineering, Hunan University, Changsha
[2] College of Architecture and Engineering, Weifang University, Weifang
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 02期
关键词：
computational fluid dynamics; numerical simulation; two-dimensional agent model; wind farm; wind turbine wakes;
D O I：
10.19912/j.0254-0096.tynxb.2022-1526
中图分类号：
学科分类号：
摘要：
Aiming at the problems encountered in the numerical simulation of the existing wind turbine wake using computational fluid dynamics method（CFD）of large number of grids and large computional resource requirments，this paper proposes a numerical simulation method of wind turbine wake using two-dimensional agent model，and applies this agent model to the layout optimization of wind farms. Firstly，the wake flow of a single wind turbine is simulated numerically，and the simulation results are tested according to the field measurement data. Secondly，the agent model is applied to the wind farm simulation of multiple wind turbines to analyze the tailing effect of the wind turbine under different incoming wind angles. Finally，the annual power generation of multiple equidistant rectangular arrangement wind farms is calculated by combining the wind speed and wind direction rose plot，and the relationship between the angle between the wind farm and the N（north）direction and the annual power generation of the wind farm is analyzed. Simulation results show that the field measured data and simulated data are highly correlated，which verifies the feasibility of the two-dimensional agent model and the accuracy of the calculation results. When the angle between the wind farm and the N（north）direction is in the range of 0° to 40°，the annual power generation of the wind farm when the angle is greater than 0° is greater than that when the angle is equal to 0°. When optimizing the layout of wind farms，choosing the angle between the appropriate wind farm and the N（north）direction is conducive to improving the annual power generation of the wind farm and improving economic benefits. © 2024 Science Press. All rights reserved.
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页码：65 / 76
页数：11
相关论文
共 12 条
  • [1] REN H L., Numerical simulation of multiple wind turbines wake based on actuator DISC method［D］, (2019)
  • [2] TIAN L L., Numerical simulation of wind turbine wakes and the study of wind farm layout optimization, (2014)
  • [3] MASSON C., An extended model for turbulent flow through horizontal- axis wind turbines［J］, Journal of wind engineering and industrial aerodynamics, 96, 1, pp. 103-122, (2008)
  • [4] XU C，, HAN X X, WANG X, Et al., Study of wind turbine wake modeling based on a modified actuator disk model and extended k-ε turbulence model［J］, Proceedings of the CSEE, 35, 8, pp. 1954-1961, (2015)
  • [5] ZHU C, WANG T G，, ZHONG W., Numerical analysis and wake boundary modeling of wind turbine flow fields［J］, Journal of Nanjing University of Aeronautics & Astronautics, 43, 5, pp. 688-692, (2011)
  • [6] DIVIACCO B., Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm［J］, Journal of wind engineering and industrial aerodynamics, 51, 1, pp. 105-116, (1994)
  • [7] GRADY S A，, HUSSAINI M Y，, ABDULLAH M M., Placement of wind turbines using genetic algorithms［J］, Renewable energy, 30, 2, pp. 259-270, (2005)
  • [8] HUANG H S., Distributed genetic algorithm for optimization of wind farm annual profits ［C］, 2007 International Conference on Intelligent Systems Applications to Power Systems, pp. 1-6, (2008)
  • [9] LU L., Optimization of wind turbine layout position in a wind farm using a newly-developed two- dimensional wake model［J］, Applied energy, 174, pp. 192-200, (2016)
  • [10] YU S B., Numerical simulation of flow field around trees under strong wind［D］, (2021)
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