Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations

被引:96
作者
Prosper, Miguel A. [1 ]
Otero-Casal, Carlos [1 ]
Canoura Fernandez, Felipe [2 ]
Miguez-Macho, Gonzalo [1 ]
机构
[1] Univ Santiago de Compostela, Santiago De Compostela, Spain
[2] Norvento SLU, Lugo, Spain
关键词
Wind energy; WRF; High-resolution; Forecasting; Complex terrain; Annual wake; SURFACE-TEMPERATURE; MODEL; VALIDATION; IMPACTS; HEIGHT;
D O I
10.1016/j.renene.2018.12.047
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Regional meteorological models are becoming a generalized tool for wind resource forecasting, due to their capacity to simulate local flow dynamics impacting wind farm production. This study focuses on the case of production forecast and validation for a real onshore wind farm using high horizontal and vertical resolution WRF (Weather Research and Forecasting) model simulations. The wind farm is located in Galicia, in the northwest of Spain, in a complex region with high wind resource. Utilizing the Fitch scheme, specific for wind farms, a period of one year is simulated with a daily operational forecasting setup. Power and wind predictions are obtained and compared with real data at each wind turbine hub, provided by the management company. Results show that WRF yields good wind power operational predictions for this kind of wind farms, due to a good representation of the planetary boundary layer behaviour of the region and the good performance of the Fitch scheme under these conditions. The best mean annual error (MAE) obtained is 1.87 m/s for wind speed and 14.75% for wind power. By comparing experiments with and without Fitch scheme, we estimate wind resource losses in the area due to the wake disturbances. The mean annual wake or environmental footprint of the farm extends for several kilometres in the southwest-northeast direction of the prevailing winds, with resource losses of 0.5% even at 17 km from the turbines. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:674 / 686
页数:13
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