Multivariate analysis of extreme metocean conditions for offshore wind turbines

Valamanesh, V.; Myers, Andrew C.; Arwade, Sanjay R.

doi:10.1016/j.strusafe.2015.03.002

Cited by 61 publications

(27 citation statements)

References 12 publications

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“…In this paper, the 50-year values of V and H s are calculated independently and assumed to occur simultaneously. Although this assumption is known to be a coarse approximation of joint wind-wave conditions [9], it is an assumption used in practice and listed in IEC 61400-3 as a conservative option in the absence of sufficient joint data. For these reasons and for simplicity, this assumption is also used here.…”

Section: Hazard Calculation Methodsmentioning

confidence: 99%

Strength, stiffness, resonance and the design of offshore wind turbine monopiles

Myers

Arwade

Valamanesh

et al. 2015

Engineering Structures

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Section: Hazard Calculation Methodsmentioning

confidence: 99%

Strength, stiffness, resonance and the design of offshore wind turbine monopiles

Myers

Arwade

Valamanesh

et al. 2015

Engineering Structures

Self Cite

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“…The generalized extreme value (GEV) model is often chosen to describe the extremes of natural agents in wind engineering (Brabson and Palutikof, 2000;Gatey and Miller, 2007;Sacré et al, 2007;Torrielli et al, 2013;Valamanesh et al, 2015) and also in several other branches of civil engineering and geosciences. In line with this, a Poisson-Pareto model (Eq.…”

Section: Analytical Frameworkmentioning

confidence: 99%

The selection of directional sectors for the analysis of extreme wind speed

Folgueras

Solari

Losada

2019

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper presents a rational method for the selection of the most suitable directional sectors in the analysis of extreme wind loads on structures. It takes into consideration the main sources of uncertainty stemming from sector selection and leads to the definition of independent and statistically homogeneous directional sectors. This method is applied to the selection of directional sectors for the calculation of the design wind speed of a structure located at the mouth of the Río de la Plata. The results in the estimated reliability and costs were compared to those obtained with conventional engineering methods, revealing significant differences. It was found that the proposed method is a simple and objective tool for the selection of directional sectors, which comply with the working hypothesis of the directional models, and offers better guarantees for dimensioning than the use of more traditional engineering approaches for sectorial division.

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“…The 1:10 year extremes are used as example extreme conditions which prototype devices may be subject to, with short deployments of a couple years. Extreme 1:50 year events will be more representative of full deployment lifetimes in the region of 20 years or more, as recommended by the International Electrotechnical Commission: IEC 61400-3 for offshore wind turbines [29], IEC 62600-2 for marine energy converters [30], and used in Ruiz [31] and Valamanesh et al [32]. Points have been chosen corresponding to locations on each contour for maximum energy period, maximum power (normally maximum H m0 as well), and minimum T E above a H m0 threshold (10 m for 1:10, and 11 m for 1:50).…”

Section: Combined Conditionsmentioning

confidence: 99%

Simulating Extreme Directional Wave Conditions

2017

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Wave tank tests often involve simulating extreme wave conditions as they enable the maximum expected loads to be inferred: a vital parameter for structural design. The definition, and simulation of, extreme conditions are often fairly simplistic, which can result in conditions and associated loads that are not representative of those that would be observed at the deployment location. Here we present a method of defining, simulating at scale, and validating realistic site-specific extreme wave conditions for survival testing of wave energy converters. Bivariate inverse-first order reliability method (I-FORM) environmental contours define extreme pairs of significant wave height and energy period (H m0 -T E ), while observed extreme conditions are used to define realistic frequency and directional distributions. These sea states are scaled, simulated and validated at the FloWave Ocean Energy Research Facility to demonstrate that the site-specific extreme wave conditions can be re-created with accuracy. The presented approach enables greater realism to be incorporated into tank testing with survival sea states. The techniques outlined and explored here can provide further and more realistic insight into the response of offshore structures and devices, and can help make important design decisions prior to full-scale deployment.

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Multivariate analysis of extreme metocean conditions for offshore wind turbines

Cited by 61 publications

References 12 publications

Strength, stiffness, resonance and the design of offshore wind turbine monopiles

Strength, stiffness, resonance and the design of offshore wind turbine monopiles

The selection of directional sectors for the analysis of extreme wind speed

Simulating Extreme Directional Wave Conditions

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