Wind and Structures

  • 제20권4호
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  • Pages.565-578
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  • 2015
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A high-resolution mapping of wind energy potentials for Mauritius using Computational Fluid Dynamics (CFD)

  • Dhunny, Asma Z. (Department of Physics, University of Mauritius) ;
  • Lollchund, Michel R. (Department of Physics, University of Mauritius) ;
  • Rughooputh, Soonil D.D.V. (Department of Physics, University of Mauritius)
  • 투고 : 2014.08.20
  • 심사 : 2015.02.28
  • 발행 : 2015.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

A wind energy assessment is an integrated analysis of the potential of wind energy resources of a particular area. In this work, the wind energy potentials for Mauritius have been assessed using a Computational Fluid Dynamics (CFD) model. The approach employed in this work aims to enhance the assessment of wind energy potentials for the siting of large-scale wind farms in the island. Validation of the model is done by comparing simulated wind speed data to experimental ones measured at specific locations over the island. The local wind velocity resulting from the CFD simulations are used to compute the weighted-sum power density including annual directional inflow variations determined by wind roses. The model is used to generate contour maps of velocity and power, for Mauritius at a resolution of 500 m.

키워드

과제정보

연구 과제 주관 기관 : Mauritius Research Council

참고문헌

  1. Ahmed, O., Hanane, D., Roberto, S. and Abdelaziz, M. (2010), "Monthly and seasonal assessment of wind energy characteristics at four monitored locations in Liguria region (Italy)", Renew. Sust. Energ. Revi. 14, 1959-1968. https://doi.org/10.1016/j.rser.2010.04.015
  2. Albreht, C. and Klesitz, M. (2006), Three-Dimensional Wind Field Calculation Above Orographic Complex Terrain In Southern Europe, EWEC, Athens.
  3. AWS (1997), Wind resource assessment handbook Fundamentals for Conducting a Successful Monitoring Program.
  4. Berge, E., Gravdahl, A.R, Schelling, J., Tallhaug. L. and Undheim, O. (2006), Wind in complex terrain: a comparison of WAsP and two CFD-models, EWEC, Athens.
  5. Dhunny, A.Z., Lollchund, M.R. and Rughooputh, S.D.D.V. (2015), "Wind flow analysis over complex hilly terrains using CFD", Accepted for presentation at the RESUS 2015 International Conference to be held from 03-05 March 2015 in Mauritius.
  6. Google Earth (2014), Aerial view of Mauritius, (https://www.google.com/earth/).
  7. Gravdahl, A.R. and Harstvei, K. (2006), "Windsim - flow simulations in complex terrain assessments of wind resources along the norwegian coast", Proceedings of the 5th German Wind Energy Conference, Wilhelmshaven.
  8. Gravdahl, A., Ramechecandane, S. and Meissner, C. (2012), Numerical investigations of wind flow over complex terrain, WindSIm AS Tonsberg, Norway.
  9. Hunt, J.C.R, Tampieri, F, Weng, W.S. and Carruthers, D.J. (1991), "Air flow and turbulence over complex terrain", J. Fluid Mech., 227, 667-688. https://doi.org/10.1017/S0022112091000290
  10. Kalmikov, A., Dupont, G., Dykes, K. and Chan, C. (2010), Wind power resource assessment in complex urban environments: MIT campus case-study using CFD Analysis, AWEA 2010 WINDPOWER.
  11. Launder, B.E. and Spalding, D.B. (1974), "The numerical computation of turbulent flows", Comput. Method. Appl. M., 3, 269-289. https://doi.org/10.1016/0045-7825(74)90029-2
  12. Llombart, A., Mallet, A., Burillo, N., Alvarez, O. and Talayero, A. (2007), "Influence of orography on wind resource assessment programs", Proceedings of the European Wind Energy Conference, Italia May.
  13. Loureiro, J., Pinho, F. and Silva Freire, A. (2007), "Near wall characterization of the flow over a two-dimensional steep smooth hill", Exp. Fluids, 42 (3), 441-457. https://doi.org/10.1007/s00348-007-0252-z
  14. Moreno, P., Gravdahl, A.R. and Romero, M. (2003), "Wind Flow over Complex Terrain: Application of Linear and CFD Models", Proceedings of the European Wind Energy Conference and Exhibition, Madrid.
  15. Palma, J.M.L.M., Castro, F.A., Ribeiro, L.F., Rodrigues, A.H. and Pinto, A.P. (2008), "Linear and nonlinear models in wind resource assessment and wind turbine micro-siting in complex terrain", J. Wind Eng. Ind. Aerod., 96(12), 2308-2326. https://doi.org/10.1016/j.jweia.2008.03.012
  16. Schaffner, B. and Gravdahl, A. (2003), "Wind modeling in Mountains: Intercomparison and validation of models", Proceedings of the European Wind Energy Conference and Exhibition, Madrid.
  17. Troen, I. and E.L. Petersen (1989), European Wind Atlas, ISBN 87-550-1482-8, Riso National Laboratory, Roskilde.
  18. Unchai, T. and Janyalertadun, A. (2014), "CFD evaluation of a suitable site for a wind turbine on a trapezoid shaped hill", Wind Struct., 19(1), 75-88. https://doi.org/10.12989/was.2014.19.1.075
  19. Wakes, S.J., Maegli, T., Dickinson, K.J. and Hilton, M.J. (2010), "Numerical modelling of wind flow over a complex topography", Environ. Modell. Softw., 25(2), 237-247. https://doi.org/10.1016/j.envsoft.2009.08.003
  20. Wang, T., Cao, S. and Ge, Y. (2014), "Effects of inflow turbulence and slope on turbulent boundary layers over two-dimensional hills", Wind Struct., 19(2), 219-232. https://doi.org/10.12989/was.2014.19.2.219

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