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dc.contributor.authorMughal, M.
dc.contributor.authorLynch, Mervyn
dc.contributor.authorYu, Frank
dc.contributor.authorSutton, J.
dc.date.accessioned2018-12-13T09:11:25Z
dc.date.available2018-12-13T09:11:25Z
dc.date.created2018-12-12T02:46:42Z
dc.date.issued2018
dc.identifier.citationMughal, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/71817
dc.identifier.doi10.1016/j.jweia.2018.03.006
dc.description.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.

dc.publisherElsevier
dc.titleForecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models
dc.typeJournal Article
dcterms.source.volume176
dcterms.source.startPage13
dcterms.source.endPage20
dcterms.source.issn0167-6105
dcterms.source.titleJournal of Wind Engineering and Industrial Aerodynamics
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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