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    Windfield investigations at lake Turkana wind farm, Kenya

    240986_Indasi V 2015.pdf (6.436Mb)
    Access Status
    Open access
    Authors
    Indasi, Victor Savatia
    Date
    2015
    Supervisor
    Prof. Mervyn Lynch
    Dr Brendan McGann
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Physics and Astronomy
    URI
    http://hdl.handle.net/20.500.11937/1974
    Collection
    • Curtin Theses
    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.

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