Practical ways of evaluating wind speed persistence

Koçak, Kasım

doi:10.1016/j.energy.2007.07.010

Cited by 53 publications

(35 citation statements)

References 7 publications

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“…Accordingly, the present study suggests that the Hurst exponent could be a very practical indicator while developing water and drought management policies. On the other hand, a few other persistence 769 indices can also be suggested for meteorological/climatological events (Koçak, 2008;Tatli, 2014). For that reason, a comparison of these methods can give very meaningful results.…”

Section: Discussionmentioning

confidence: 99%

Detecting persistence of meteorological drought via the Hurst exponent

Tatlı

2015

Meteorological Applications

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This study proposes the Hurst exponent (H) to detect persistence in the Palmer Drought Severity Index (PDSI) over Turkey. Since a fractal structure admits the behaviour of global determinism and local randomness, the H exponent values could be used to detect self-similar statistical structure of the time series. Additionally, the H value >0.5 and near 1 shows the intensity level of persistence. The term persistence may be assessed as a criterion to be used as a measure of predictability. Moreover, the predictability index, fractal dimension and autocorrelation function of the PDSI values can also be obtained from the H values. Nevertheless, it is not easy to find a spatial meaning of information content of the results obtained by the methods used in the present study. For that reason, the Mann-Kendall (MK) trend test was also used, and the results showed that significant negative trends are widespread throughout the country. As expected, the H values were close to 1 in places where statistically significant trends exist. The high values of the H exponent in all the regions can be explained by the droughts observed there that might be caused due to the possible associations with the large-scale atmospheric circulations. In this context, it is suggested that the droughts can be predictable by constructing the appropriate general climate circulation models.

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Section: Discussionmentioning

confidence: 99%

Detecting persistence of meteorological drought via the Hurst exponent

Tatlı

2015

Meteorological Applications

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“…As seen from Figure , the greater the q value is, the higher the persistence will be, and vice versa (for detail see Koçak, ).…”

Section: Methodsmentioning

confidence: 99%

“…The most important feature of wind phenomenon is its persistence changing from point to point. (Koçak, ). Many variables often exhibit statistical dependence with their past or future values.…”

Section: Introductionmentioning

confidence: 99%

Climatology of wind speed persistence over Turkey

Korkmaz¹,

Koçak

2017

Intl Journal of Climatology

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It is a well‐known fact that, sustainability is very important issue in the field of energy production of any kind. Wind speed persistence, as a climatological indicator, is one of the most important components of wind phenomenon which is closely related with sustainability of wind energy production. The most suitable areas for wind energy production are the areas with high wind speed persistence. On the other hand, there are a few studies on how to measure persistence of wind properly. In this study, two novel methods used to investigate persistence characteristics of a given area were applied to Turkey's wind speed data. The results have revealed some important characteristics of persistence throughout Turkey. According to these results western parts of Anatolia have highest persistence. The second region that has high persistence is inner parts of Anatolia because the topography of the Aegean region which enables wind to penetrate along long distances from the coast to the inner parts of Anatolia. All of the results obtained from the study are in accordance with the observations.

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“…A crucial element in ascertaining the wind energy potential of a site is its wind speed frequency distribution (Kocak 2008). It not only determines how often a given wind speed is observed at the location but also identifies the range of wind speeds observed at that location.…”

Section: Wind Data Analysismentioning

confidence: 99%

The Potential for Wind-Generated Electricity in Mauritius

Oree

Rajoo

2014

International Journal of Green Energy

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Mauritius must achieve a twofold increase in its wind energy production every five years in order to attain its renewable energy development objectives. This article evaluates the feasibility of such a scenario by assessing the wind power potential at five strategic locations using a two-parameter Weibull distribution. Data used consist of wind speed measurements collected in 10-min time series format over a period of five years. The results showed that the monthly mean wind speed was highest at Plaisance with a maximum of 5.46 m/s occurring in July and a minimum of 3.91 m/s in May. During the winter months of July to October, stronger average wind speeds prevailed at all the sites. It was also found that all the sites exhibited narrow and sharp wind probability density functions. It was further determined that the annual mean power density was highest at Plaisance with a value of 67.96 W/m 2 followed by Vacoas, Medine, Pamplemousses, and FUEL. The results suggest that Plaisance and Vacoas would be best suited for autonomous and distributed generation applications on a small to medium scale.

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Practical ways of evaluating wind speed persistence

Cited by 53 publications

References 7 publications

Detecting persistence of meteorological drought via the Hurst exponent

Detecting persistence of meteorological drought via the Hurst exponent

Climatology of wind speed persistence over Turkey

The Potential for Wind-Generated Electricity in Mauritius

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