The search for renewable and sustainable energy sources is a global concern. One way to produce renewable energy is by making use of wind turbines. However, wind speed is a stochastic process which fluctuates considerably. This means that energy cannot be produced at a constant rate. For many years, the most used probability density function has beenthe Weibull distribution. Experimental research is made in this report, in which Nakagami, Normal,and Rician distributionsarecompared to Weibull distribution usingthe Kullback-Leibler divergence for different time frames.The resultsreveal that the four distributionsareall numerically acceptablefor analysing wind speed data for different time frames.Since Weibull distribution is the commonly used distribution, wind generation companies can continue using this distribution as the standard one.However, almost everytime frame manifestmultimodal distributed wind speed data. Future research can focus onstudyingmultimodal distributions instead of unimodal.

Objectius de Desenvolupament Sostenible::7 - Energia Assequible i No Contaminant

Outgoing