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

机译:混合波浪和海上风能潜力分析中的参数分布方法

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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.
机译:波浪能和海上风能已被国际社会视为可再生清洁能源。然而,在特定地点引入混合波和海上风力发电机的潜力分析需要了解风波和涌浪功率分布。本文提出的工作考虑了在风浪和涌浪功率分布近似中使用高阶统计矩的可能性。应用第一到第四统计矩,使用Pearson系统获得密度函数近似值。该方法基于分布的前四个矩之间的关系,其中通过将它们的理论矩与经验分布的矩相等来估计概率分布。鉴于风浪和涌浪功率分布的偏度和峰度系数的动态变化,应用各种统计矩有利于估计混合动力系统的潜力。

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