Empirical estimation of return period and distribution of duration of wind speed exceedances

Show simple item record

dc.contributor.author Kiplangat, Dennis Cheruiyot
dc.contributor.author Asokan, K.
dc.contributor.author Drisya, G. V.
dc.contributor.author Kumar, K. Satheesh
dc.date.accessioned 2019-02-14T07:45:11Z
dc.date.available 2019-02-14T07:45:11Z
dc.date.issued 2018-12-08
dc.identifier.uri http://41.89.227.156:8080/xmlui/handle/123456789/831
dc.description.abstract Wind turbines are designed to function within a certain range of wind speed to optimise production cost and minimise damage limited by technical barriers and usually shut down when wind speed crosses these limits. We present an empirical analysis of extreme events of wind speed outside the functional range of wind turbine and compute the return period of such events using a direct empirical approach. We also demonstrate an extrapolation technique to accurately estimate the return period for time series of short duration. Analysis of wind speed data from various locations reveals that the duration of both upper and lower exceedances can be modelled empirically by the exponential family of distributions very closely. The ideas developed would be useful to wind farm managers for making anticipatory calculations based on past data regarding frequency and durations of wind turbine shut-down due to extreme wind speeds. en_US
dc.language.iso en en_US
dc.publisher Recent Advances in Intelligent Computational Systems (RAICS) en_US
dc.subject Wind speed modelling; Generalized Pareto distribution; Peaks over threshold; Duration of exceedances en_US
dc.title Empirical estimation of return period and distribution of duration of wind speed exceedances en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account