Separation and classification of extreme wind events from anemometric records

Gaetano, Patrizia De; Repetto, Maria Pia; Repetto, T.; Solari, Giovanni

doi:10.1016/j.jweia.2014.01.006

Cited by 111 publications

(46 citation statements)

References 27 publications

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“…during the wind events or on systematic filtering using proxy data for thunderstorms such as lightning. A summary of the different methods to extract convective gusts can be found in De Gaetano et al (2014).…”

Section: Definition Of Convective Gustsmentioning

confidence: 99%

Statistical characteristics of convective wind gusts in Germany

Mohr

Kunz

Richter

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Due to the small-scale and non-stationary nature of the convective wind gusts usually associated with thunderstorms, there is a considerable lack of knowledge regarding their characteristics and statistics. In an effort to remedy this situation, we investigated in this study a set of 110 climate stations of the German Weather Service between 1992 and 2014 to analyze the temporal and spatial distribution, intensity, and occurrence probability of convective gusts.Similar to thunderstorm activity, the frequency of convective gusts decreases gradually from southern to northern Germany. No further spatial structures, such as a relation to orography or climate conditions, can be identified regarding their strength or likelihood. Rather, high wind speeds of above 30 m s −1 can be expected everywhere in Germany with almost similar occurrence probabilities. A comparison of the 20-year return values of convective gusts with those of turbulent gusts demonstrates that the latter have higher frequencies, especially in northern Germany. However, for higher return periods, this effect can be reversed at some stations.The values of the convective gust factors are mainly in a range between 1 and 4 but can even reach values up to 10. Besides the dependency from the averaging time period of the mean wind, the values of the gust factors additionally depend on the event duration and the storm type, respectively.

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Section: Definition Of Convective Gustsmentioning

confidence: 99%

Statistical characteristics of convective wind gusts in Germany

Mohr

Kunz

Richter

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Here, one has to differentiate between analyses concerning the statistics of the wind speed values and velocity increments. The wind velocities might become anomalously distributed due to large-scale meteorological events like downbursts or thunderstorms (De Gaetano et al, 2014). Velocity increments, on the other hand, statistically characterize the temporal aspect of fluctuations, whose non-Gaussian statistics are well-known from small-scale turbulence (Frisch, 1995).…”

Section: Introductionmentioning

confidence: 99%

On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach

et al. 2017

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Abstract. The effect of intermittent and Gaussian inflow conditions on wind energy converters is studied experimentally. Two different flow situations were created in a wind tunnel using an active grid. Both flows exhibit nearly equal mean velocity values and turbulence intensities but strongly differ in their two point statistics, namely their distribution of velocity increments on a variety of timescales, one being Gaussian distributed, and the other one being strongly intermittent. A horizontal axis model wind turbine is exposed to both flows, isolating the effect on the turbine of the differences not captured by mean values and turbulence intensities. Thrust, torque and power data were recorded and analyzed, showing that the model turbine does not smooth out intermittency. Intermittent inflow is converted to similarly intermittent turbine data on all scales considered, reaching down to sub-rotor scales in space. This indicates that it is not correct to assume a smoothing of intermittent wind speed increments below the size of the rotor.

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“…There were numerous field studies conducted to capture the downburst wind in nature. Examples of field studies are: Northern Illinois Meteorological Research on Downbursts (NIMROD) [5], Joint Airport Weather Studies (JAWS) [6], the Federal Aviation Administrative Lincoln Laboratory Operational Weather Studies (FLOWS) [7], the Thunderstorm Wind Project in Singapore [8], the European Project "Wind and Ports" [9][10][11], project SCOUT [12], and the "forensic study of the Lubbock-Reese downdraft of 2002" [13].…”

Section: Introductionmentioning

confidence: 99%

Temporal Variation of the Pressure from a Steady Impinging Jet Model of Dry Microburst-Like Wind Using URANS

Skote

Sim

Srikanth³

2018

Computation

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Abstract:The objective of this study is to investigate the temporal behavior of the pressure field of a stationary dry microburst-like wind phenomenon utilizing Unsteady Reynolds-averaged Navier-Stokes (URANS) numerical simulations. Using an axisymmetric steady impinging jet model, the dry microburst-like wind is simulated from the initial release of a steady downdraft flow, till the time after the primary vortices have fully convected out of the stagnation region. The validated URANS results presented herein shed light on the temporal variation of the pressure field which is in agreement with the qualitative description obtained from field measurements. The results have an impact on understanding the wind load on structures from the initial touch-down phase of the downdraft from a microburst. The investigation is based on CFD techniques, together with a simple impinging jet model that does not include any microphysical processes. Unlike previous investigations, this study focuses on the transient pressure field from a downdraft without obstacles.

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Separation and classification of extreme wind events from anemometric records

Cited by 111 publications

References 27 publications

Statistical characteristics of convective wind gusts in Germany

Statistical characteristics of convective wind gusts in Germany

On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach

Temporal Variation of the Pressure from a Steady Impinging Jet Model of Dry Microburst-Like Wind Using URANS

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