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WAsP

From Wikipedia, the free encyclopedia

WAsP (Wind Atlas Analysis and Application Program) is a Windows program for predicting wind climates, wind resources, and energy yields from wind turbines and wind farms. An application of the software is determining good locations to develop wind farms.[1]

The predictions are based on wind data measured at meteorological stations in the same region, or on generalised wind climates derived from mesoscale model results. The program includes a complex terrain flow model, a roughness change model, a model for sheltering obstacles, a wind turbine wake model and a model for the average atmospheric stability conditions at the site. The software package further contains a Climate Analyst for creating the wind-climatological inputs, a Map Editor for creating and editing the topographical inputs, and a Turbine Editor for creating the wind turbine inputs to WAsP. The fundamentals of WAsP and the wind atlas methodology are described in the European Wind Atlas.[2] WAsP is developed and distributed by DTU Wind and Energy Systems at the Technical University of Denmark, Denmark. Current version is WAsP 12.7.

WAsP is used for:[3]

  • Wind farm production
  • Wind farm efficiency
  • Micro-siting of wind turbines
  • Power production calculations
  • Wind resource mapping
  • Wind climate estimation
  • Wind atlas generation
  • Wind data analysis

A special implementation of the WAsP software has been used to map the wind climate of the entire world with a resolution of 250 m, see the Global Wind Atlas.

References

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  1. ^ Sveinbjornsson, Stefan Kari (25 July 2013). "Analysis of WAsP (Wind Atlas Analysis and Application Program) in complex topographical conditions using measured production from a large scale wind farm". University of Washington. {{cite journal}}: Cite journal requires |journal= (help)
  2. ^ "European Wind Atlas". Retrieved 31 December 2016.
  3. ^ "WAsP home page, DTU Wind Energy". Retrieved 31 December 2016.
  • Balo, Figen; Yilmaz, Unal; Sua, Lufta S. (2021). "Energy Efficiency and Sustainability through Wind Power for Green Hospitals". In Ting, David S. K.; Stagner, Jacqueline A. (eds.). Sustainable Engineering for Life Tomorrow. Lexington Books. pp. 79–81. ISBN 9781793625021.
  • Nelson, Vaughn (2009). Wind Energy: Renewable Energy and the Environment. CRC Press. pp. 54, 58, 192. ISBN 9781420075694.
  • Tandıroğlu, Ahmet; Çetin, Murat (2014). "Wind Energy Resource Assessment of Ergan Mountain Ski Center, Erzincan Turkey". In Midilli, Adnan; Kucuk, Haydar; Dincer, Ibrahim (eds.). Progress in Exergy, Energy, and the Environment. Springer International Publishing. pp. 834–835. ISBN 9783319046815.
  • Tang, Xiao-Tu (2022). "Optimizing Wind Farm Layouts". In Stoevesandt, Bernhard; Schepers, Gerard; Fuglsang, Peter; Sun, Yuping (eds.). Handbook of Wind Energy Aerodynamics. Springer International Publishing. p. 1245. ISBN 9783030313074.
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