Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions
IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
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引用次数: 0
Abstract
Abstract. The two-parameter Weibull distribution has garnered much attention
in the assessment of wind energy potential. The estimation of the shape and
scale parameters of the distribution has brought forth a successful tool for
the wind energy industry. However, it may be inappropriate to use the
two-parameter Weibull distribution to assess energy at every location,
especially at sites where low wind speeds are frequent, such as in tropical
regions. In this work, a robust technique for wind resource assessment using
a Bayesian approach for estimating Weibull parameters is first proposed.
Secondly, the wind resource assessment techniques using a two-parameter
Weibull distribution and a three-parameter Weibull distribution, which is a
generalized form of two-parameter Weibull distribution, are compared.
Simulation studies confirm that the Bayesian approach seems a more robust
technique for accurate estimation of Weibull parameters. The research is
conducted using data from seven sites in the tropical region from 1∘ N of
the Equator to 21∘ S of the Equator. Results reveal that a three-parameter
Weibull distribution with a non-zero shift parameter is a better fit for the
wind data with a higher percentage of low wind speeds (0–1 m s−1) and
low skewness. However, wind data with a smaller percentage of low wind
speeds and high skewness showed better results with a two-parameter
distribution that is a special case of the three-parameter Weibull distribution
with a zero shift parameter. The proposed distribution can be incorporated into
commercial software like WAsP to improve the accuracy of wind resource
assessments. The results also demonstrate that the proposed Bayesian
approach and application of a three-parameter Weibull distribution are
extremely useful for accurate estimation of wind power density.
摘要双参数威布尔分布在风能潜力评价中受到广泛关注。对分布的形状和尺度参数的估计为风能工业提供了一个成功的工具。然而,使用双参数威布尔分布来评估每个地点的能量可能是不合适的,特别是在低风速频繁的地点,如热带地区。在这项工作中,首次提出了一种使用贝叶斯方法估计威布尔参数的风力资源评估技术。其次,比较了双参数威布尔分布和广义的三参数威布尔分布的风力资源评价技术。仿真研究证实,贝叶斯方法对于精确估计威布尔参数似乎是一种更可靠的技术。这项研究使用了从赤道1°N到赤道21°S的热带地区7个地点的数据。结果表明,对于低风速(0-1 m s−1)和低偏度的风数据,具有非零偏移参数的三参数威布尔分布更适合。然而,低风速和高偏度比例较小的风数据在双参数分布中显示出更好的结果,这是具有零移位参数的三参数威布尔分布的特殊情况。提议的分布可以被整合到像WAsP这样的商业软件中,以提高风能资源评估的准确性。结果还表明,所提出的贝叶斯方法和三参数威布尔分布的应用对于准确估计风力密度非常有用。