Uncertainty in wave energy resource assessment. Part 2: Variability and predictability

Mackay, Ed; Bahaj, A.S.; Challenor, Peter

doi:10.1016/j.renene.2009.10.027

Cited by 73 publications

(30 citation statements)

References 67 publications

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“…The October-March period presents the greatest uncertainty of the wave energy resource with TOMAWAC estimations varying from 45 kW m À 1 to 115 kW m À 1 in December. As demonstrated by Mackay et al (2010b) and Neill and Hashemi (2013), this variability of winter wave power appears mainly related to the inter-annual variability of the North Atlantic wave climate and the North Atlantic Oscillation.…”

Section: Seasonal Evolutionmentioning

confidence: 82%

Evaluation of wave energy potential in the Sea of Iroise with two spectral models

Guillou

2015

Ocean Engineering

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Section: Seasonal Evolutionmentioning

confidence: 82%

Evaluation of wave energy potential in the Sea of Iroise with two spectral models

Guillou

2015

Ocean Engineering

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“…Indeed, as demonstrated by recent statistical studies [42,43], a relative uncertainty exists in the characterisation of wave power closely related to the variability in the wave climate. This variability has to be characterised in the Sea of Iroise for the implementation of WEC devices.…”

Section: Inter-annual Evolutionmentioning

confidence: 99%

Numerical modelling of nearshore wave energy resource in the Sea of Iroise

Guillou

Chapalain

2015

Renewable Energy

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a b s t r a c tAn unstructured version of SWAN (Simulating WAves Nearshore) is implemented in the Sea of Iroise (western Europe) to assess the wave energy resource at high spatial resolutions in coastal areas. Numerical results are compared with available measurements of the significant wave height and the peak period at nine locations including (1) long-term offshore observations and (2) medium to short-term data acquired during field campaigns. A medium-term evaluation of the wave energy resource for a eight-years period (2004e2011) is performed exhibiting major nearshore energetic patterns off the isles of Ushant and Sein and in the coastal areas of the bay of Audierne, the Crozon Peninsula and the northern coastline. The variability of wave power production is estimated revealing in accordance with numerical modelling conducted over the European shelf seas significant inter-seasonal and inter-annual evolutions of the resource in the Sea of Iroise. These changes appear particularly noticeable during the winter period with opposite situations in the distribution of monthly average wave energy flux. In the perspective of the implementation of wave energy converters devices, the present assessment is finally exploited to investigate the local distributions of wave energy flux against periods and directions in areas of maximum mean wave power.

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“…A more realistic understanding of the uncertainties in the wave energy resources assessment, especially as regards their variability and predictability, is key to any wave energy project [44,45]. From this perspective, this section will focus on evaluating the influence on the wave conditions of some parameters of the environmental matrix, especially tide and wind.…”

Section: Study Of the Tide And Wind Influences In The High Resolutionmentioning

confidence: 99%

High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides

Silva¹,

Rusu²,

Soares³

2016

Energies

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The wave energy in a shallow water location is evaluated considering the influence of the local tide and wind on the wave propagation. The target is the coastal area just north of the Portuguese city of Peniche, where a wave energy converter operates on the sea bottom. A wave modelling system based on SWAN has been implemented and focused on this coastal environment in a multilevel computational scheme. The first three SWAN computational belonging to this wave prediction system were defined using the spherical coordinates. In the highest resolution computational domain, Cartesian coordinates have been considered, with a resolution of 25 m in both directions. An in-depth analysis of the main characteristics of the environmental matrix has been performed. This is based on the results of eight-year model system simulations (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). New simulations have been carried out in the last two computational domains with the most relevant wave and wind patterns, considering also the tide effect. The results show that the tide level, together with the wind intensity and direction, may influence to a significant degree the wave characteristics. This especially concerns the wave power in the location where the wave converter operates.

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Uncertainty in wave energy resource assessment. Part 2: Variability and predictability

Cited by 73 publications

References 67 publications

Evaluation of wave energy potential in the Sea of Iroise with two spectral models

Evaluation of wave energy potential in the Sea of Iroise with two spectral models

Numerical modelling of nearshore wave energy resource in the Sea of Iroise

High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides

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