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dc.contributor.authorIndasi, Victor Savatia
dc.contributor.supervisorProf. Mervyn Lynch
dc.contributor.supervisorDr Brendan McGann
dc.date.accessioned2017-01-30T10:15:43Z
dc.date.available2017-01-30T10:15:43Z
dc.date.created2016-06-14T02:02:36Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/20.500.11937/1974
dc.description.abstract

Wind resource assessment normally involves collecting wind data using meteorological masts or executing numerical meteorological models. This data is then analysed using industry standard software (WAsP) to generate a Windfield map used for wind farm planning and construction. Until recently, there was no methodology to validate this Windfield map due to insufficient observational data. This shortcoming has been addressed in this study using high spatial resolution wind observations from Doppler LIDAR.

dc.languageen
dc.publisherCurtin University
dc.titleWindfield investigations at lake Turkana wind farm, Kenya
dc.typeThesis
dcterms.educationLevelPhD
curtin.departmentDepartment of Physics and Astronomy
curtin.accessStatusOpen access


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