Abstract
The use of already existing infrastructure for mounting of wind speed sensors could be a promising way of how to assess wind resources instead to install the new meteorological mast. One part of this study is devoted to exploring the impact of the mast on the flow field around it. Computational Fluid Dynamics (CFD) is chosen to predict airflow using Reynolds-Averaged Navier-Stokes equations. In the second part of this research, the typical topology near the Baltic Sea is selected to evaluate numerically the turbulent airflow over coastal terrain. The lidar images are utilized to describe the topology of the interested area. Digital Surface Model is used to generate the ground surface which is applied as the input to develop the high-resolution computational mesh of the terrain. Computational domain parallelization and the computational cluster is applied due to the complexity of the numerical simulations. Obtained results are compared with experimentally measured data from wind speed sensors located on the telecommunication mast.
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Acknowledgements
The work is carried out within the project New European Wind Atlas (NEWA), ENER/FP7/618122/NEWA ERA-NET PLUS, supported by the EUROPEAN COMMISSION under the 7th Framework Programme for Research, Technological Development and Demonstration.
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Upnere, S., Bezrukovs, V., Bezrukovs, V., Jekabsons, N., Gulbe, L. (2020). Computational Fluid Dynamics Methods for Wind Resources Assessment. In: Sergeyev, Y., Kvasov, D. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2019. Lecture Notes in Computer Science(), vol 11974. Springer, Cham. https://doi.org/10.1007/978-3-030-40616-5_48
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DOI: https://doi.org/10.1007/978-3-030-40616-5_48
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