Benefits of using a spectral hindcast database for wave power extraction assessment

Maisondieu, Christophe; Boulluec, Marc Le

doi:10.1177/1759313116649967

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…An analysis based on the JONSWAP spectrum exhibited a slight overestimation when compared to hindcast data and yielded large instant errors due to its focus on unimodal sea states. This focus prevented the model from accurately assessing the spectral distribution of the native energy found in this region [26]. When Campos and Soares [27], compared 3 hindcast models: the ERA-Interim, NOAA (based on WAVEWATCH III) and HIPOCAS (based on the REMO wind model), they found that at non-extreme conditions the hindcasts were effectively equivalent as their biases for significant wave height was less than 0.5 m. However, when comparing wind and wave errors, WAVEWATCH III was the best model for accuracy and was suggested to be the model of choice for latitudes below 30 • North (as is the case in this study).…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Caribbean wave climate for wave energy harvesting

Lemessy

Manohar

Adeyanju

2021

IET Renewable Power Gen

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In this study, the design requirements for a regional wave energy converter are identified from the analysis of 10 years of spectral data provided by nine buoys located across the Caribbean. It indicated that the average significant wave height and wave period in the Caribbean is 1.62 m and 5.91 s, respectively, while the average total theoretical power capable of being absorbed from a wave energy converter is 7.4 kilowatts per meter of surface waves. Devices should be designed to withstand a significant wave height of 19.0 ± 2.8 meters (95% confidence) for a 1 in 100 year return wave. This was determined by performing various extreme wave analyses. Additionally, a design life of 30 years for a device would have a probability of exceedance regarding this return wave as 26%. Using two‐dimensional wave spectra analysis for the resource study, the overall spectral width, directionality coefficient and direction of the maximum directionally resolved wave power for the region are determined to be 0.172, 0.74 and 42°, respectively. It is expected that the combination of these information would improve the viability of a wave energy industry in the Caribbean and advance technological development.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Caribbean wave climate for wave energy harvesting

Lemessy

Manohar

Adeyanju

2021

IET Renewable Power Gen

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“…Many documents (e.g. [9] and [10]) highlight errors which can be made when power capture is estimated using seastate spectrum which does not represent the actual measured spectrum. This prompts questions about how representative scale site spectra are of a commercial site, and whether scale sites with more representative spectra can be found?…”

Section: A Interesting Questions Arisingmentioning

confidence: 99%

Site selection for scaled open water testing of a wave energy converter

McLean¹,

Holland²,

MacIver³

et al. 2020

Int. J. Mar. Ene.

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Many wave energy converter developers opt to carry out scaled prototype open water testing of their device as part of their technology development. Developers who have done this recently include Sea Power (1/5 scale, Galway Bay, 2017), CorPower (1/4 scale, EMEC, 2018) and Marine Power Systems (1/4 scale, FaBTest, ongoing). Scaled open water testing offers several benefits, including more representative realisations of sub-systems, identification and resolution of technological issues associated with scaling-up, and de-risking the manufacturing and marine operational procedures ahead of commercial-scale testing. In preparation for testing in Stage 3 of the Novel Wave Energy Converter programme, Wave Energy Scotland has considered requirements of a suitable scaled open water site and the methods for selection. In common with commercial site identification, this must consider operational infrastructure, time and funding constraints, and the appropriateness of site characteristics. This appropriateness is further complicated by the need to find a site of comparable scaled water depth and where the sea-states of interest (when scaled to full-scale) are likely to occur with sufficient frequency over the duration of the intended testing campaign. This paper presents an approach, and its associated assumptions, to identify locations which have the potential to satisfy the scaled open water site considerations, before discussing the challenges to satisfy the critical testing outcomes, and the pragmatism required to meet all requirements.

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“…Utilization of this information by the marine industry is strongly recommended. For instance, when investigating the response of an offshore structure, spectral hindcast databases, composed of time series of wave spectra, whenever available, should be used preferably to sets of spectra built from analytical formulations such as JONSWAP(Hasselman et al, 1973), because of the inability of such theoretical unimodal forms, characterized by a single set of three global parameters, to correctly account for the spectral distribution of the wave energy in the case of complex sea-states(Maisondieu and Le Boulluec, 2015).…”

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confidence: 99%

Sea state conditions for marine structures' analysis and model tests

Bitner‐Gregersen

Dong

et al. 2016

Ocean Engineering

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The study reviews, based on the state-of-the-art findings, some uncertainties associated with wave data and models currently used in design and operation procedures of ship and offshore structures. Although the same basic principles prevail for hydrodynamic loads on ships and offshore structures, actual problems and methods for assessing these loads in the design and operation stage are not the same. Different wave data and models are used for specifying design and operational criteria for these two types of platforms and different uncertainties are related to them. Wave data and models used to define sea state characteristics are discussed and particular attention is given to the associated sources of uncertainties. Some weaknesses of wave input used in design and operational procedures for marine structures are pointed out. Focus is also given on uncertainties related to model tests as tank testing is an important supporting tool for design and operation. Impact of some selected uncertainties on wave description and wave loads is demonstrated by examples. Highlights ► Definitions of uncertainties. ► Establishment of sea state characteristics for marine structures' analysis and model tests. ► Uncertainties associated with sea state characteristics. ► Impact of uncertainties of sea state characteristics on model tests and design and operations of marine structures.

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Benefits of using a spectral hindcast database for wave power extraction assessment

Cited by 6 publications

References 9 publications

Analysis of the Caribbean wave climate for wave energy harvesting

Analysis of the Caribbean wave climate for wave energy harvesting

Site selection for scaled open water testing of a wave energy converter

Sea state conditions for marine structures' analysis and model tests

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