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WRF model assessment for wind intensity and power density simulation in the southern coast of Brazil

Author

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  • Tuchtenhagen, Patrícia
  • Carvalho, Gilvani Gomes de
  • Martins, Guilherme
  • Silva, Pollyanne Evangelista da
  • Oliveira, Cristiano Prestrelo de
  • de Melo Barbosa Andrade, Lara
  • Araújo, João Medeiros de
  • Mutti, Pedro Rodrigues
  • Lucio, Paulo Sérgio
  • Silva, Cláudio Moisés Santos e

Abstract

Offshore wind power generation is expanding in several regions of the globe but in Brazil, particularly in its southern portion, prospection studies are still scarce. Thus, the present study aims to assess wind variability and power density (PD) simulated by the Weather Research and Forecasting Model (WRF) in the Southern Brazil, focusing on the offshore region. We compared the results of the simulations with data from the Blended Sea Winds (BSW) product, who quantify wind velocity over oceans. The numerical experiment was carried out during a 5-year period, between 00UTC of January 01, 2006 until 00UTC of December 31, 2010. The domain has a total of 340 grid points in the zonal direction, 180 points in the meridional direction and 35 vertical layers with the top set at 50 hPa. We concluded that the WRF model can be used as a tool to evaluate the potential for wind power generation in the Southern Brazil region. On the other hand, the model did not perform well in simulating wind in the regions near the Brazil and Falklands Currents. This shortcoming may be corrected by coupling the WRF with an oceanic model and using parameterizations which more adequately represent turbulence in the planetary boundary layer.

Suggested Citation

  • Tuchtenhagen, Patrícia & Carvalho, Gilvani Gomes de & Martins, Guilherme & Silva, Pollyanne Evangelista da & Oliveira, Cristiano Prestrelo de & de Melo Barbosa Andrade, Lara & Araújo, João Medeiros de, 2020. "WRF model assessment for wind intensity and power density simulation in the southern coast of Brazil," Energy, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:energy:v:190:y:2020:i:c:s0360544219320365
    DOI: 10.1016/j.energy.2019.116341
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