MESOSCALE SIMULATION OF OFFSHORE-TYPE WINDS USING LIDAR OBSERVATIONS AT A COASTAL WIND FARM IN NORTHEAST BRAZIL
DOI:
https://doi.org/10.59627/cbens.2022.1204Keywords:
Offshore Wind, LiDAR, WRFAbstract
Weather forecasting and simulation in coastal regions presents research challenges coming from the limitation of atmospheric forecast models in representing this type of terrain. The role of wind power in the energy transition unfolds in collective efforts to research the behavior of winds in coastal regions from the integration between spatio-temporal models and data measured by remote sensing techniques using LiDAR profilers. The objective of this study is to evaluate the performance of the WRF mesoscale model in the representation of coastal winds with offshore characteristics using four different boundary layer configurations and different resolutions for the vertical levels. The studied region includes the Pedra do Sal Wind Power Plant located in the coastal region of Parnaíba-PI and presents a predominance of offshore winds that arise from the combination of the trade winds with the local sea breeze. The simulations were validated with measurements carried out in the park by LiDAR and anemometric tower. The results reveal a good performance of the model regarding wind direction and temperature. More specifically, although the simulations show a lag of about 2 hours to represent the daily wind cycle, the average wind speed was well represented. For vertical shear, the models are similar for altitudes above 300 m and below 200 m.
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