Statistical tests for the distribution of surface wind and current speeds across the globe

Campisi-Pinto, Salvatore; Gianchandani, Kaushal; Ashkenazy, Yosef

doi:10.1016/j.renene.2019.12.041

Cited by 18 publications

(10 citation statements)

References 52 publications

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“…The estimation of parameters of wind data was studied by 12 . The application of statistical analysis can be seen in 13 . More applications of statistical methods in the field of energy can be seen in 14 – 22 .…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Forecasting of the wind speed under uncertainty

Aslam

2020

Sci Rep

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In this paper, the semi-average method under neutrosophic statistics is introduced. The trend regression line for the semi-average method is given in the presence of Neutrosophy in the data. The application of the semi-average method under indeterminacy is given with the help of wind speed data. The efficiency of the semi-average method under the neutrosophic statistics is discussed over the semi-average method under classical statistics. From the analysis, it is concluded that the proposed method is effective, informative, and flexible for the forecasting of wind speed.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Forecasting of the wind speed under uncertainty

Aslam

2020

Sci Rep

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“…Wind statistics of an area are gathered to build a wind speed distribution of the area whereon a wind farm is projected. The wind speed distribution is commonly modelled as the Weibull distribution of wind speed s [1], [6], [9], [10]:…”

Section: Background and Motivationmentioning

confidence: 99%

“…The shape parameter relates to a factual range of wind speeds: the range narrows as the shape parameter increases [10]. The scale parameter corresponds to the mean wind speed, although it also influences the factual range of wind speeds: as the scale parameter increases, the range becomes wider (stretching out to the right) and the mean wind speed grows [10]. Obviously, these parameters of wind speed distribution (1) cannot be assessed as point estimates.…”

Section: Background and Motivationmentioning

confidence: 99%

Wind Speed Distribution Direct Approximation by Accumulative Statistics of Measurements and Root-Mean-Square Deviation Control

Romanuke

2020

Electrical, Control and Communication Engineering

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In order to accurately estimate wind farm output and subsequently optimise it, a method of wind speed distribution approximation is suggested. The method is based on period-by-period accumulation of wind speed measurements, transforming them into empirical probabilities, and observing the moving approximation to the expected power produced by the wind turbine or entire wind farm. A year is a minimal term during which wind statistics are to be accumulated. The sufficient validity and reliability of the wind speed distribution approximation is supported by controlling root -mean-square deviations and maximal absolute deviations with respect to the moving average of the expected power. The approximation quality can be regulated by adjusting constants defining the requirements to the moving deviations.

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“…Despite these structural similarities, the maximal volumetric transport of the Kuroshio current is 55 Sv (1 Sv = 10 6 m 3 s −1 ) (Qiu, 2019) whereas that of the EAC is around 30 Sv (Archer et al, 2017). The maximum velocity that EAC attains is also substantially smaller than that of the Kuroshio (Campisi-Pinto et al, 2020). Henry Stommel, apparently in his first oceanography paper (Stommel, 1948, hereafter referred to as S48) was the first to formulate a simple, yet comprehensive, mathematical model of the WBCs [see e.g.…”

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confidence: 94%

On the role of domain aspect ratio in the westward intensification of wind-driven surface ocean circulation

Gianchandani¹,

Gildor²,

Paldor³

2020

Preprint

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Abstract. The two seminal studies on westward intensification, carried out by Stommel and Munk over 70 years ago, are revisited to elucidate the role of the domain aspect ratio (i.e. meridional to zonal extents of the basin) in determining the transport of the western boundary current (WBC). We examine the general mathematical properties of the two models by transforming them to differential problems that contain only two parameters – the domain aspect ratio and the non-dimensional damping (viscous) coefficient. Explicit analytical expressions are obtained from solutions of the non-dimensional vorticity equations and verified by long-time numerical simulations of the corresponding time-dependent equations. The analytical expressions as well as the simulations, imply that in Stommel's model both the domain aspect ratio and the damping parameter contribute equally to the non-dimensional transport of the WBC. On the other hand, in Munk's model the WBC's transport varies linear with the domain aspect ratio, while the damping parameter plays a minor role only. This finding is employed to explain the weak WBC in the South Pacific.

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Statistical tests for the distribution of surface wind and current speeds across the globe

Cited by 18 publications

References 52 publications

RETRACTED ARTICLE: Forecasting of the wind speed under uncertainty

RETRACTED ARTICLE: Forecasting of the wind speed under uncertainty

Wind Speed Distribution Direct Approximation by Accumulative Statistics of Measurements and Root-Mean-Square Deviation Control

On the role of domain aspect ratio in the westward intensification of wind-driven surface ocean circulation

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