WAsP model performance verification using lidar data

© 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 200...

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Main Authors: Indasi, V., Lynch, M., McGann, Brendan, Yu, F., Jeanneret, F., Sutton, J.
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/8067
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author Indasi, V.
Lynch, M.
McGann, Brendan
Yu, F.
Jeanneret, F.
Sutton, J.
author_facet Indasi, V.
Lynch, M.
McGann, Brendan
Yu, F.
Jeanneret, F.
Sutton, J.
author_sort Indasi, V.
building Curtin Institutional Repository
collection Online Access
description © 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.
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spelling curtin-20.500.11937-80672017-09-13T14:34:29Z WAsP model performance verification using lidar data Indasi, V. Lynch, M. McGann, Brendan Yu, F. Jeanneret, F. Sutton, J. © 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. 2016 Journal Article http://hdl.handle.net/20.500.11937/8067 10.1007/s40095-015-0189-6 unknown
spellingShingle Indasi, V.
Lynch, M.
McGann, Brendan
Yu, F.
Jeanneret, F.
Sutton, J.
WAsP model performance verification using lidar data
title WAsP model performance verification using lidar data
title_full WAsP model performance verification using lidar data
title_fullStr WAsP model performance verification using lidar data
title_full_unstemmed WAsP model performance verification using lidar data
title_short WAsP model performance verification using lidar data
title_sort wasp model performance verification using lidar data
url http://hdl.handle.net/20.500.11937/8067