DOI: 10.1016/j.renene.2019.12.041
论文题名: Statistical tests for the distribution of surface wind and current speeds across the globe
作者: Campisi-Pinto S. ; Gianchandani K. ; Ashkenazy Y.
刊名: Renewable Energy
ISSN: 9601481
出版年: 2020
卷: 149 语种: 英语
英文关键词: Generalized gamma distribution
; Speed statistics
; Surface currents
; Surface winds
; Weibull distribution
Scopus关键词: Banks (bodies of water)
; Distribution functions
; Speed
; Statistical tests
; Statistics
; Surface testing
; Wind
; Confidence interval
; Data distribution
; Energy productions
; Generalized gamma distribution
; Potential power
; Power estimations
; Surface current
; Surface winds
; Weibull distribution
; confidence interval
; global change
; spatial distribution
; statistical analysis
; surface wind
; testing method
; Weibull theory
英文摘要: The distribution of surface winds and currents is important from climatic and energy production aspects. It is commonly assumed that the distribution of surface winds and currents speed is Weibull, yet, previous studies indicated that this assumption is not always valid. An inaccurate probability distribution function (PDF) of wind (current) statistic can lead to erroneous power estimation; thus, it is necessary to examine the accuracy of the PDFs employed. We propose statistical tests to check the validity of an assumed distribution of wind and current speeds. The main statistical test can be applied to any distribution and is based on surrogate data where the different moments of the data are compared with the moments of the surrogate data. We applied this and other tests to global surface wind and current speeds and found that the generalized gamma distribution fits the data distributions better than the Weibull distribution. The percentage of locations that fall within the confidence interval of the assumed distribution varies with the moment. The third moment is used to estimate the potential power of winds and currents — we find that 89% (95%) of the wind (current) grid points fall within the 95% confidence interval of the generalized gamma distribution. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158490
Appears in Collections: 气候变化与战略
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作者单位: Department of Solar Energy and Environmental Physics, BIDR, Ben-Gurion University, Midreshet Ben-Gurion, Israel; The Fredy and Nadine Herrmann Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Recommended Citation:
Campisi-Pinto S.,Gianchandani K.,Ashkenazy Y.. Statistical tests for the distribution of surface wind and current speeds across the globe[J]. Renewable Energy,2020-01-01,149