Wind turbulence characteristics study at the Stonecutters Bridge site: Part II: Wind power spectra, integral length scales and coherences

Hui, Michael C. H.; Larsen, Allan; Huang, Xiang

doi:10.1016/j.jweia.2008.11.003

Cited by 102 publications

(45 citation statements)

References 6 publications

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“…The intermittency is then explained by the stochastic behavior of wind speed. Let us stress on the one hand the loss of independency of wind speed and on the other hand the finite range of dependency of wind speed [6,13]. In this framework, we can show that, despite the randomness of wind speed and wind power production, we can calculate the quantiles of the annual wind power production [2].…”

Section: Intrinsic Uncertainties and Quantile Of Annual Wind Power Prmentioning

confidence: 96%

Confidence intervals for annual wind power production

et al. 2014

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Abstract.Wind power is an intermittent resource due to wind speed intermittency. However wind speed can be described as a stochastic process with short memory. This allows us to derive a central limit theorem for the annual or pluri-annual wind power production and then get quantiles of the wind power production for one, ten or twenty years future periods. On the one hand, the interquantile spread offers a measurement of the intrinsic uncertainties of wind power production. On the other hand, different quantiles with different periods of time are used by financial institutions to quantify the financial risk of the wind turbine. Our method is then applied to real datasets corresponding to a French wind turbine. Since confidence intervals can be enhanced by taking into account seasonality, we present some tools for change point analysis on wind series.Key words: Intrinsic uncertainties of annual wind power production; Central Limit Theorem; Quantile of annual or pluri-annual wind power production; Seasonality; Intermittency ; Change point analysis. * Research supported by a grant from Électricité de France (EDF) and EDF Énergies Nouvelles (EEN 151Résumé. L'énergie éolienne est une ressource intermittente à cause de l'intermittence du vent. Cependant la vitesse du vent peut être décrite comme un processus stochastique à mémoire courte. Nous pouvons alors obtenir un théorème central limite pour la production annuelle ou pluri-annuelle d'éner-gie éolienne, ce qui nous permet de calculer les différents quantiles de la production d'énergie éolienne avec des horizons de un, dix ou vingt ans. La différence des écarts interquantiles fournit, d'une part, une mesure de l'incertitude intrinsèque sur la production annuelle d'énergie éolienne. D'autre part, différents quantiles avec différents horizons de temps sont utilisés par les institutions financières afin de quantifier le risque lié à la construction d'une éolienne. Nous appliquons ensuite notre méthode à de vrais jeux de données correspondant à une turbine française. De plus, la prévision peut être améliorée par la prise en compte de la saisonnalité, nous présentons alors quelques outils pour la détection de rupture sur la moyenne de la vitesse du vent.Mots clés : Incertitude intrinsèque sur la production annuelle d'énergie éolienne. Théorème central limite. Quantile de la production annuelle ou pluri-annuelle d'énergie éolienne. Saisonnalité. Intermittence. Détection de ruptures.

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Section: Intrinsic Uncertainties and Quantile Of Annual Wind Power Prmentioning

confidence: 96%

Confidence intervals for annual wind power production

et al. 2014

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“…Hui [1,2] did a detailed analysis of the wind conditions near the Stonecutter Bridge, which is subjected to both a sea and mountain wind, by using a wind mast. Macdonald [3] studied the response to wind and traffic load of the Clifton Bridge, which is a relatively shortspan suspension bridge crossing a narrow gorge.…”

Section: Introductionmentioning

confidence: 99%

Full scale monitoring of wind and traffic induced response of a suspension bridge

Cheynet

Jakobsen

Snæbjörnsson

2015

MATEC Web of Conferences

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Abstract. This paper presents a full-scale analysis of wind and traffic-induced vibrations of a long-span suspension bridge in complex terrain. Several wind and acceleration sensors have been installed along the main span on Lysefjord Bridge in Norway. In the present study, three days of continuous records are analysed. Traffic-induced vibrations are dominant at low and moderated wind speed, with non-negligible effects on the overall bridge response for heavy vehicles only. Traffic and wind-induced vibrations are compared in terms of root mean square of the acceleration response, and three simples approaches are proposed to isolate records dominated by wind-induced vibration. The first one relies on the separation of nocturnal and diurnal samples. The second one is based on the evaluation of the time-varying root mean square of the acceleration response. The last one evaluates the relative importance of the high frequency domain of the acceleration bridge response. It appears that traffic-induced vibrations may have to be taken into account for the buffeting analysis of longspan bridge under moderated wind.

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“…Considering however the recent development in sensors and measurement systems and the increase in computational power, the rigorous characterisation of wind and of the dynamic behaviour of full scale structures becomes possible [13][14][15][16], leading to an improvement of analysis methods and allowing, for example, the replacement of typical formulations of analysis in the frequency domain by more powerful formulations in time which allow the consideration of nonlinear effects and therefore more accurately describe the dynamic behaviour of slender systems.…”

Section: Introductionmentioning

confidence: 99%

Dynamic monitoring of a stadium suspension roof: Wind and temperature influence on modal parameters and structural response

Martins

Caetano

Diord

et al. 2014

Engineering Structures

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a b s t r a c tThis paper describes an extensive experimental investigation conducted on the Braga Stadium suspension roof combining recent developments in terms of sensors, data communicating systems, computational power and automated output-only modal identification algorithms. The continuous monitoring program established around this outstanding structure has allowed the continuous measurement of wind, temperature and acceleration. The variation of such quantities during a period of 8 months has been investigated, with the purpose of obtaining a characterisation of the wind action based on field tests, establishing correlations with the structural response and finally analysing the influence of wind and temperature on the variation of modal parameters.

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Wind turbulence characteristics study at the Stonecutters Bridge site: Part II: Wind power spectra, integral length scales and coherences

Cited by 102 publications

References 6 publications

Confidence intervals for annual wind power production

Confidence intervals for annual wind power production

Full scale monitoring of wind and traffic induced response of a suspension bridge

Dynamic monitoring of a stadium suspension roof: Wind and temperature influence on modal parameters and structural response

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