The domestic and export market for large scale wave energy in Ireland and the economics of export transmission

Sharkey, Fergus; Honer, Kevin; Conlon, Michael; Gaughan, Kevin; Robinson, E. M.

doi:10.1109/upec.2013.6714939

Cited by 3 publications

(3 citation statements)

References 2 publications

(2 reference statements)

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“…According to the discounting method, LCoE can be calculated as: [173], including anticipated failure rates of components. Sharkey et al [177][178][179][180] explain the costs involved in electrical components and their optimisation to reduce the LCoE of wave energy. LCoE is used to compare various energy production technologies in order to identify which technology gives the cheapest price per kilo-Watt hour (kWh).…”

Section: Lcoe and Lvoementioning

confidence: 99%

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Grid integration aspects of wave energy—Overview and perspectives

Said

Ringwood

2021

IET Renewable Power Gen

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The sustained development of wave energy in the past two decades makes it one of the most promising renewable energy resources to be added to the diverse mixture of supply systems. The inherent difficulty of grid integration of wave energy involves various aspects such as suitable control of power converters and power conditioning processes, allowing for the extraction of the best quality power. This paper presents a comprehensive review of different aspects of grid integration of wave energy devices, including classification of wave energy devices based on their impacts on grid integration, grid requirements imposed by the grid codes and storage technologies used for the grid integration of wave energy converters (WECs). This study also analyses various grid integration studies on wave energy converters, with particular emphasis on power converter technology and control. Furthermore, specific attention is given to the combinational studies that use wave energy combined with other renewable resources due to their positive synergies in lowering the costs of energy produced and that hold an opportunity for future research. An economic case is presented for wave energy devices based on value on the grid.

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Section: Lcoe and Lvoementioning

confidence: 99%

“…Sharkey et al. [177–180] explain the costs involved in electrical components and their optimisation to reduce the LCoE of wave energy. LCoE is used to compare various energy production technologies in order to identify which technology gives the cheapest price per kilo‐Watt hour (kWh).…”

Section: Value Of Wave Energy On the Grid: An Economic Casementioning

confidence: 99%

Grid integration aspects of wave energy—Overview and perspectives

Said

Ringwood

2021

IET Renewable Power Gen

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“…These wind farms, located on the west, south and east of Ireland aim to leverage Ireland's strategically advantageous location with regards to wind energy with the aim of exporting the excess energy into the EU [6]. However, a crucial factor in the siting of wind farm is the estimated annual energy production and how that value compares to that of energy produced by other sources [7].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study for Using Deep LSTMs and ARIMA for Imputing Missing Data for Wind Data in the Irish Sea

Shoukat,

Malekjafarian,

Pakrashi

2024

Preprint

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Achieving Net Zero emissions target is driving up the need for offshore wind as an alternate energy source. Ireland has the capacity to produce upwards of 30GWof power through offshore wind alone. Wind resource assessments are extremely vital in determining the long term trends of a site. The instruments used for this often suffer breakdowns or miss readings which impacts the long term trend analysis. Wind time series data from Ireland’s Marine Institute is used which is shown to have significant gaps in it’s 20 years of service. Data imputation is necessary to fill in these gaps as accurately as possible. This paper compares LSTMs and ARIMA as two competing methodologies for data imputation. LSTMs are shown to be marginally superior to ARIMA imputation with a mean squared error of 0.45 compared to that of ARIMA of 0.60.

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