Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment

涡轮机 风力发电 风速 空气动力学 行星边界层 唤醒 风向 海洋工程 控制理论(社会学) 工程类 环境科学 汽车工程 航空航天工程 气象学 边界层 计算机科学 物理 电气工程 控制(管理) 人工智能
作者
Michael F. Howland,Carlos Moral González,Juan José Pena Martínez,Jesús Bas Quesada,Felipe Palou Larrañaga,Neeraj Yadav,Jasvipul S. Chawla,John O. Dabiri
出处
期刊:Journal of Renewable and Sustainable Energy [American Institute of Physics]
卷期号:12 (6) 被引量:97
标识
DOI:10.1063/5.0023746
摘要

The intentional yaw misalignment of leading, upwind turbines in a wind farm, termed wake steering, has demonstrated potential as a collective control approach for wind farm power maximization. The optimal control strategy and the resulting effect of wake steering on wind farm power production are in part dictated by the power degradation of the upwind yaw misaligned wind turbines. In the atmospheric boundary layer, the wind speed and direction may vary significantly over the wind turbine rotor area, depending on atmospheric conditions and stability, resulting in freestream turbine power production which is asymmetric as a function of the direction of yaw misalignment and which varies during the diurnal cycle. In this study, we propose a model for the power production of a wind turbine in yaw misalignment based on aerodynamic blade elements, which incorporates the effects of wind speed and direction changes over the turbine rotor area in yaw misalignment. The proposed model can be used for the modeling of the angular velocity, aerodynamic torque, and power production of an arbitrary yaw misaligned wind turbine based on the incident velocity profile, wind turbine aerodynamic properties, and turbine control system. A field experiment is performed using multiple utility-scale wind turbines to characterize the power production of yawed freestream operating turbines depending on the wind conditions, and the model is validated using the experimental data. The resulting power production of a yaw misaligned variable speed wind turbine depends on a nonlinear interaction between the yaw misalignment, the atmospheric conditions, and the wind turbine control system.

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