Guerrero-Villar Francisca, Dorado-Vicente Rubén, Medina-Sánchez Gustavo, Torres-Jiménez Eloísa
Department of Mechanical and Mining Engineering; Universidad de Jaén, 23071 Jaén, Spain.
Sensors (Basel). 2019 Apr 30;19(9):2029. doi: 10.3390/s19092029.
This study presents a procedure to reduce the uncertainty of wind power density estimations, which is useful to improve the energy production predictions of wind farms. Power density is usually determined from the wind speed measured by a cup anemometer and the air density value (conventional procedure). An alternative procedure based on wind speed and dynamic pressure estimations provided by a cup anemometer is proposed. The dynamic pressure is obtained by means of a calibration curve that relates the anemometer rotation frequency and the dynamic pressure measured by a Pitot tube. The quadratic regression, used to define the calibration curve, and its uncertainty are both detailed. A comparison between the alternative procedure and the conventional one points out the advantage of the proposed alternative since results show a high reduction of the indirect measurement uncertainty of wind power density.
本研究提出了一种降低风能密度估计不确定性的方法，这对于改进风电场的发电量预测很有用。功率密度通常根据杯式风速仪测量的风速和空气密度值来确定（传统方法）。本文提出了一种基于杯式风速仪提供的风速和动压估计值的替代方法。动压通过一条校准曲线获得，该校准曲线将风速仪的旋转频率与皮托管测量的动压联系起来。详细介绍了用于定义校准曲线的二次回归及其不确定性。替代方法与传统方法之间的比较指出了所提出替代方法的优势，因为结果表明风能密度间接测量的不确定性大幅降低。
