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Validation of the WAsP Model for a Terrain Surrounded by Mountainous Region

Authors: Vahid Khalajzadeh, Mohammadamin Zanganeh


The problems associated with wind predictions of WAsP model in complex terrain are already the target of several studies in the last decade. In this paper, the influence of surrounding orography on accuracy of wind data analysis of a train is investigated. For the case study, a site with complex surrounding orography is considered. This site is located in Manjil, one of the windiest cities of Iran. For having precise evaluation of wind regime in the site, one-year wind data measurements from two metrological masts are used. To validate the obtained results from WAsP, the cross prediction between each mast is performed. The analysis reveals that WAsP model can estimate the wind speed behavior accurately. In addition, results show that this software can be used for predicting the wind regime in flat sites with complex surrounding orography.

Keywords: complex terrain, Meteorological mast, WAsPmodel, Wind prediction

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[1 ] GWEC e Global wind 2010 report
[2] A. Mostafaeipour, A. Sadeghian Development of wind turbine in Iran. Melbourne, Australia: WWEC; 2005.
[3 ] I. Troen, N.G. Mortensen, E.L Pedersen, WAsP. Wind Atlas Analysis and Application Programme. Ris├© National Laboratory, Dept. of Meteorology and Wind Energy, Roskilde, Denmark.
[4] Russell G. Derickson, Michael McDiarmid, Brad C. Cochran, John A. Peterka, Resolving difficult issues of wind power micrositig in complex terrain, Conference AWEA Global Wind Power, Chicago, USA, March 2004
[5] A. Llombart, A. Talayero, A. Mallet, E. Telmo (2006). Performance analysis of wind resource assessment programs in complex terrain. Proceedings of the 2006 International Conference on Renewable Energy and Power Quality. Palma de Mallorca, Spain. 5- 7 April.
[6] I. Troen, and E.L. Petersen, (1989). European Wind Atlas. Published for the Commission of the European Communities, Brussels, Belgium, by Ris├© National Laboratory, Roskilde, Denmark, ISBN 87-550-1482-8, 656 pp.
[7 ] Takle Y Brown. Note on the use of Weibull statistics to characterize wind speed data; 1977.
[8 ] Nielsen Review of Weibull statistics for estimation of wind speed distributions; 1994.