Using a New Method based on Finsler Geometry for Wind Speed Modelling

Yıl 2017, Cilt: 4 Sayı: 3, 109 - 116, 25.10.2017

Emrah Dokur Salim Ceyhan Mehmet Kurban

Öz

Accurately modelling
of wind speed is very important for the assessment of wind energy potential of
a certain region. Before the installation of a wind energy conversion system in
a region, the wind speed potential of that region needs to be determined and
modelled. For this reason, different distribution functions such as
two-parameter Weibull, Gamma, Lognormal, Rayleigh etc.  are proposed for accurately modeling wind
speed in the literature. In this paper, new probability and cumulative
probability density functions based on Finsler geometry are proposed for  wind speed modelling. Two-dimensional Finsler
space metric function is obtained for Weibull distribution. Monthly analysis
for Yalova,  Turkey is realized  using a new method based on Finsler geometry
and two-parameter Weibull distribution. Wind data, consisting of  hourly wind speed records between October
2015-September 2016 were obtained from the Yalova station  of Turkish State Meteorological Service. The
performances of the models  are given
comparatively by using root mean square error (RMSE).

Anahtar Kelimeler

Finsler Geometry, Wind Speed, Modelling, Weibull Distribution, Renewable Energy

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