Wind energy is a vital part of Australia’s energy mix. The first step in a wind power project at a particular site is to assess the wind resource potential and feasibility for wind energy production. Research on wind potential and statistical analysis has been done throughout the world. Currently, recent potential wind studies are lacking, especially in New South Wales (NSW), Australia. This study highlighted the feasibility of wind potential at four sites in NSW, namely Ballina, Merriwa, Deniliquin, and the Bega region. The type of wind speed distribution function dramatically affects the output of the available wind energy and wind turbine performance at a particular site. Therefore, the accuracy of four probability density functions was evaluated, namely Rayleigh, Weibull, Gamma, and Lognormal distributions. The outcomes showed Weibull provided the most accurate distribution. The annual average scale and shape parameters of Weibull distribution varied between 2.935–5.042 m/s and 1.137–2.096, respectively. The maximum shape and scale factors were at Deniliquin, while the minimum shape and scale factors were at Bega area. Assessment of power density indicated that Deniliquin had a marginal wind speed resource, while Ballina, Bega, and Merriwa had poor wind resources.

风能是澳大利亚能源结构的重要组成部分。在特定地点进行风电项目的第一步是评估风能潜力和风能生产的可行性。全世界已经对风能和统计分析进行了研究。当前，缺乏最新的风能研究，特别是在澳大利亚的新南威尔士州（NSW）。这项研究强调了在新南威尔士州四个地区（巴利纳，梅里瓦，德尼利金和贝加地区）利用风能的可行性。风速分布函数的类型极大地影响特定站点上可用风能的输出和风力涡轮机的性能。因此，评估了四个概率密度函数的准确性，即瑞利，威布尔，伽玛和对数正态分布。结果表明，威布尔提供了最准确的分布。威布尔分布的年平均尺度和形状参数分别在2.935–5.042 m / s和1.137–2.096之间变化。最大形状和比例因子在Deniliquin，而最小形状和比例因子在Bega地区。功率密度评估表明，Deniliquin的风速资源微不足道，而Ballina，Bega和Merriwa的风速资源差。