WAsP model performance verification using lidar data
dc.contributor.author | Indasi, V. | |
dc.contributor.author | Lynch, M. | |
dc.contributor.author | McGann, Brendan | |
dc.contributor.author | Yu, F. | |
dc.contributor.author | Jeanneret, F. | |
dc.contributor.author | Sutton, J. | |
dc.date.accessioned | 2017-01-30T11:04:23Z | |
dc.date.available | 2017-01-30T11:04:23Z | |
dc.date.created | 2016-07-07T19:30:16Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Indasi, V. and Lynch, M. and McGann, B. and Yu, F. and Jeanneret, F. and Sutton, J. 2016. WAsP model performance verification using lidar data. International Journal of Energy and Environmental Engineering. 7 (1): pp. 105-113. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/8067 | |
dc.identifier.doi | 10.1007/s40095-015-0189-6 | |
dc.description.abstract |
© 2015, The Author(s).This study describes the verification of Wind Atlas Analysis and Application program (WAsP) modelled average wind speeds in a complex terrain. WAsP model was run using data collected at 3 masts: Kalkumpei, Nyiru and Sirima using cup anemometers and wind vanes for the entire 2009 calendar year and verified using data collected by WindTracer LIDAR (light detection and ranging) for 2 weeks from 11th to 24th July 2009. Evaluating WAsP mean wind speed map using LIDAR data showed that Nyiru station provides the best data to model mean wind speed over the wind farm domain with a mean difference of 0.16 m/s, root mean square error of 0.85 m/s and Index of Agreement of 0.61. Construction of a 310 MW windfarm has commenced at this site. Once completed, the windfarm will be operating 365 vestas V52-850kW turbines. | |
dc.title | WAsP model performance verification using lidar data | |
dc.type | Journal Article | |
dcterms.source.volume | 7 | |
dcterms.source.number | 1 | |
dcterms.source.startPage | 105 | |
dcterms.source.endPage | 113 | |
dcterms.source.issn | 2008-9163 | |
dcterms.source.title | International Journal of Energy and Environmental Engineering | |
curtin.department | Department of Physics and Astronomy | |
curtin.accessStatus | Open access via publisher |
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