Estimation of extreme wave and wind design parameters for offshore wind turbines in the Gulf of Maine using a POT method

Viselli, Anthony M.; Forristall, George Z.; Pearce, Bryan R.; Dagher, Habib J.

doi:10.1016/j.oceaneng.2015.04.086

Cited by 48 publications

(31 citation statements)

References 18 publications

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“…The analyses have provided the significant wave height (H s ) and the mean peak period (T p ), with values given in Table 1 with reference to return periods of 2 years and 100 years. The mean peak periods associated with the predicted significant wave heights have been calculated using a scatter plot of simulated peak periods versus significant wave height as proposed by Viselli et al (2015) and Schweizer et al (2016). The parameters a and b in Eq.…”

Section: Design Waves From Nwmentioning

confidence: 99%

Wave simulation for the design of an innovative quay wall: the case of Vlorë Harbour

Antonini

Archetti

Lamberti

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Sea states and environmental conditions are basic data for the design of marine structures. Hindcasted wave data have been applied here with the aim of identifying the proper design conditions for an innovative quay wall concept. In this paper, the results of a computational fluid dynamics model are used to optimise the new absorbing quay wall of Vlorë Harbour (Republic of Albania) and define the design loads under extreme wave conditions. The design wave states at the harbour entrance have been estimated analysing 31 years of hindcasted wave data simulated through the application of WaveWatch III. Due to the particular geography and topography of the Bay of Vlorë, wave conditions generated from the north-west are transferred to the harbour entrance with the application of a 2-D spectral wave module, whereas southern wave states, which are also the most critical for the port structures, are defined by means of a wave generation model, according to the available wind measurements. Finally, the identified extreme events have been used, through the NewWave approach, as boundary conditions for the numerical analysis of the interaction between the quay wall and the extreme events. The results show that the proposed method, based on numerical modelling at different scales from macro to meso and to micro, allows for the identification of the best site-specific solutions, also for a location devoid of any wave measurement. In this light, the objectives of the paper are two-fold. First, they show the application of sea condition estimations through the use of wave hindcasted data in order to properly define the design wave conditions for a new harbour structure. Second, they present a new approach for investigating an innovative absorbing quay wall based on CFD modelling and the NewWave theory.

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Section: Design Waves From Nwmentioning

confidence: 99%

Wave simulation for the design of an innovative quay wall: the case of Vlorë Harbour

Antonini

Archetti

Lamberti

2017

Nat. Hazards Earth Syst. Sci.

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“…The test site must generate the correct combinations of wind/turbine thrust and scaled waves in order to simulate the behavior of the full-scale 6 MW Voltur-nUS farther offshore. Full-scale design conditions for floating offshore wind turbines specified by the ABS Guide for Building and Classing Floating Offshore Wind Turbine Installations were estimated from metocean data obtained far offshore Maine and represent the desired full-scale design environments [10,11]. With the desired environmental conditions in hand, the Castine site was then confirmed to produce the desired environments by deploying a buoy at the Castine site.…”

Section: Test Site Selectionmentioning

confidence: 99%

Model Test of a 1:8-Scale Floating Wind Turbine Offshore in the Gulf of Maine1

Viselli

Goupee

Dagher

2015

Journal of Offshore Mechanics and Arctic Engineering

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A new floating wind turbine platform design called VolturnUS developed by the University of Maine uses innovations in materials, construction, and deployment technologies such as a concrete semisubmersible hull and a composite tower to reduce the costs of offshore wind. These novel characteristics require research and development prior to full-scale construction. This paper presents a unique offshore model testing effort aimed at derisking full-scale commercial projects by providing scaled global motion data, allowing for testing of materials representative of the full-scale system, and demonstrating full-scale construction and deployment methods. A 1:8-scale model of a 6 MW semisubmersible floating wind turbine was deployed offshore Castine, ME, in June 2013. The model includes a fully operational commercial 20 kW wind turbine and was the first grid-connected offshore wind turbine in the U.S. The testing effort includes careful selection of the offshore test site, the commercial wind turbine that produces the correct aerodynamic thrust given the wind conditions at the test site, scaling methods, model design, and construction. A suitable test site was identified that produced scaled design load cases (DLCs) prescribed by the American Bureau of Shipping (ABS) Guide for Building and Classing Floating Offshore Wind Turbines. A turbine with a small rotor diameter was selected because it produces the correct thrust load given the wind conditions at the test site. Some representative data from the test are provided in this paper. Model test data are compared directly to full-scale design predictions made using coupled aeroelastic/hydrodynamic software. Scaled VolturnUS performance data during DLCs show excellent agreement with full-scale predictive models. Model test data are also compared directly without scaling against a numerical representation of the 1:8-scale physical model for the purposes of numerical code validation. The numerical model results compare favorably with data collected from the physical model.

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“…Various marine activities such as the design of coastal and offshore facilities, planning of harbor operations and ship design require detailed assessment of wave characteristics with certain return periods (Caires and Sterl, 2005;Menéndez et al, 2009;Goda et al, 2010). Generally, extreme value theory (EVT) is used for the determination of return levels by adopting a statistical analysis of historic time series of wave heights obtained from various sources such as in situ buoy measurements (e.g., Soares and Scotto, 2004;Méndez et al, 2008;Viselli et al, 2015), satellite data (e.g., Alves et al, 2003;Izaguirre et al, 2010), and hindcasted or reanalysis data by numerical models (e.g., Goda et al, 1993;Caires and Sterl, 2005;Teena et al, 2012;Jonathan et al, 2014). EVT consists of two types of distributions, viz.…”

Section: Introductionmentioning

confidence: 99%

Variations in return value estimate of ocean surface waves – a study based on measured buoy data and ERA-Interim reanalysis data

Naseef

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. An assessment of extreme wave characteristics during the design of marine facilities not only helps to ensure their safety but also assess the economic aspects. In this study, return levels of significant wave height (H s ) for different periods are estimated using the generalized extreme value distribution (GEV) and generalized Pareto distribution (GPD) based on the Waverider buoy data spanning 8 years and the ERA-Interim reanalysis data spanning 38 years. The analysis is carried out for wind-sea, swell and total H s separately for buoy data. Seasonality of the prevailing wave climate is also considered in the analysis to provide return levels for short-term activities in the location. The study shows that the initial distribution method (IDM) underestimates return levels compared to GPD. The maximum return levels estimated by the GPD corresponding to 100 years are 5.10 m for the monsoon season (JJAS), 2.66 m for the premonsoon season (FMAM) and 4.28 m for the post-monsoon season (ONDJ). The intercomparison of return levels by block maxima (annual, seasonal and monthly maxima) and the r-largest method for GEV theory shows that the maximum return level for 100 years is 7.20 m in the r-largest series followed by monthly maxima (6.02 m) and annual maxima (AM) (5.66 m) series. The analysis is also carried out to understand the sensitivity of the number of observations for the GEV annual maxima estimates. It indicates that the variations in the standard deviation of the series caused by changes in the number of observations are positively correlated with the return level estimates. The 100-year return level results of H s using the GEV method are comparable for short-term (2008 to 2016) buoy data (4.18 m) and long-term (1979 to 2016) ERA-Interim shallow data (4.39 m). The 6 h interval data tend to miss high values of H s , and hence there is a significant difference in the 100-year return level H s obtained using 6 h interval data compared to data at 0.5 h interval. The study shows that a single storm can cause a large difference in the 100-year H s value.

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Estimation of extreme wave and wind design parameters for offshore wind turbines in the Gulf of Maine using a POT method

Cited by 48 publications

References 18 publications

Wave simulation for the design of an innovative quay wall: the case of Vlorë Harbour

Wave simulation for the design of an innovative quay wall: the case of Vlorë Harbour

Model Test of a 1:8-Scale Floating Wind Turbine Offshore in the Gulf of Maine1

Variations in return value estimate of ocean surface waves – a study based on measured buoy data and ERA-Interim reanalysis data

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