Quantifying wave power and wave energy converter array production potential

Robertson, Bryson; Hiles, Clayton E.; Luczko, Ewelina; Buckham, Bradley J.

doi:10.1016/j.ijome.2015.10.001

Cited by 48 publications

(20 citation statements)

References 14 publications

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“…Apart from a few exceptions [10,19,25,27], most of these studies compared the averaged technical resource generated by a series of WECs in potential farm locations while ignoring the inter-and intra-annual variabilities of energy production. These aspects are, however, fundamental to consider as a device may show yearly-averaged high efficiency whereas the technology is designed for winter conditions, only.…”

Section: Introductionmentioning

confidence: 99%

“…1), the site of application, here retained, is the western extend of Brittany Table 1: Non-exhaustive review of regional and local evaluations in WECs performances based on highresolution numerical wave power assessments. Three WECs are listed (Pelamis, AquaBuOY, and Wave Dragon) whereas these evaluations may consider other devices technologies such as [10] or [11] that rely on specific power matrices. 2 (France, Fig.…”

Section: Introductionmentioning

confidence: 99%

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Annual and seasonal variabilities in the performances of wave energy converters

Guillou

Chapalain

2018

Energy

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Locations of wave energy converters (WECs) are, most of the time, determined in areas with the highest density of mean wave power while ignoring the temporal variabilities of the resource. The most energetic regions are, however, characterised by strong interand intra-annual variations of wave power that may impact the energy production and performances of devices. We investigated these influences by focusing on the generated power from three well-known WECs that reached the stage of full-stage testing: Pelamis, AquaBuOY and Wave Dragon. This evaluation was conducted in western Brittany, one of the most energetic area along the coast of France. In comparison with the available resource, the generated technical power was characterised by reduced annual and seasonal variations. These effects were particularly noticeable for Pelamis that exhibited a reduced intermittency in the energy output between the winter and summer periods. The most energetic conditions had furthermore a restricted contribution to devices power output, mainly related to events with energy periods between 10.5 and 12.5 s, and significant wave heights between 2.75 and 4.25 m. WECs performances exhibited finally strong variabilities, in winter, with monthly-averaged values of the capacity factor up to 65% for Wave Dragon.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Annual and seasonal variabilities in the performances of wave energy converters

Guillou

Chapalain

2018

Energy

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“…WaveBob is a two-body axisymmetric point absorber and the pre-commercial wave energy company closed its doors in 2013 (Beatty et al 2007). Robertson et al (2016) assessed the impact of spectral shape on wave energy production using the WaveBob platform. Robertson et al (2016) assessed the impact of spectral shape on wave energy production using the WaveBob platform.…”

Section: Impact Of Resource Assessment Methodology On Wec Power Produmentioning

confidence: 99%

“…The modeling of WEC farms is an active area of research (Ruehl 2013;Luczko et al 2016;Folley and Whittaker 2011) and, undoubtedly, will result in the development of numerical models that can optimize farm layouts and maximize power production for a specific site. This allows for quick side-by-side comparisons of the costs vs generation potential for potential future WEC farm deployment locations.…”

Section: Site Identification For Wec Deploymentsmentioning

confidence: 99%

Marine Renewable Energy

Yang¹,

Copping²

2017

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“…Several studies have already been performed in the field of wave energy, from the development and enhancement of different conversion devices [3][4][5][6], to the theoretical assessment of wave energy availability, either by modelling [7][8][9] or by field data analysis [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf

Oleinik

Kirinus

Fragassa

et al. 2019

JMSE

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Global electric energy demand is constantly growing, consequently leading towards the usage of renewable energy sources reducing pollution and increasing sustainability. The ocean is a poorly explored renewable energy source; thus, to evaluate the Brazilian wave energy budget, this study investigated the mean behaviour of the wave power rate on the south-southeastern Brazilian Shelf as well as analysed the temporal variability of the wave power rate at the most energetic locations near the coast. Three locations were examined, namely Laguna, Ilhabela and Farol Island, based on the criteria of high means and small standard deviations. The mean wave power rate was approximately 9.08 kW/m on Laguna, 10.01 kW/m on Ilhabela and 15.93 kW/m on Farol Island. The standard deviation identified in the three locations reached values of 6.47 kW/m on Laguna, 7.59 kW/m on Ilhabela and 13.51 kW/m on Farol Island. Temporal variability analysis was conducted through wavelet analysis. The results show a dominant yearly cycle with a background presence of synoptic cycles, with little deviation between the locations. The El Niño southern oscillation plays a minor role on the energy spectrum of Laguna and does not have a significant influence on Ilhabela and Farol Island.

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Quantifying wave power and wave energy converter array production potential

Cited by 48 publications

References 14 publications

Annual and seasonal variabilities in the performances of wave energy converters

Annual and seasonal variabilities in the performances of wave energy converters

Marine Renewable Energy

Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf

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