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    Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models

    Access Status
    Fulltext not available
    Authors
    Mughal, M.
    Lynch, Mervyn
    Yu, Frank
    Sutton, J.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Mughal, M. and Lynch, M. and Yu, F. and Sutton, J. 2018. Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models. Journal of Wind Engineering and Industrial Aerodynamics. 176: pp. 13-20.
    Source Title
    Journal of Wind Engineering and Industrial Aerodynamics
    DOI
    10.1016/j.jweia.2018.03.006
    ISSN
    0167-6105
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/71817
    Collection
    • Curtin Research Publications
    Abstract

    A novel technique for micro-siting and forecasting appropriate to wind farms has been developed. The modelling approach was tested with a selection of different physical options and initialization fields at a complex geographical location characterised by a contrasting diurnal meteorological cycles. An improvement of 10% in wind speed forecasting was achieved by coupling a mesoscale model to a microscale model; the latter was based on Large Eddy Simulation (LES). The platforms for meso and microscale modelling were the Weather Research and Forecasting (WRF) and OpenFOAM models respectively.

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