Parametric distribution approach in hybrid wave and offshore wind energy potential analysis

Abstract

Wave power and offshore wind power has been recognized by the international community as a renewable clean energy source. Potential analysis on introduction of hybrid wave and offshore wind machine at particular site however requires the knowledge of the wind wave and swell wave power distributions. The work presented in this paper considers the possibility of using higher order statistical moments in the wind wave and swell wave power distribution approximation. Applying the first to forth statistical moments, the density function approximation was obtained using the Pearson system. This method is based on the relationship between the first four moments of the distribution where the probability distribution is estimated by equating their theoretical moments with the moments of empirical distributions. Application of various statistical moments has the advantage in estimating the potential of the hybrid power system in view of dynamic changes of skewness and kurtosis coefficients of the wind wave and swell wave power distributions.