scholarly journals Wave energy resource assessment with AltiKa satellite altimetry: A case study at a wave energy site

2015 ◽  
Vol 42 (13) ◽  
pp. 5452-5459 ◽  
Author(s):  
Lonneke Goddijn-Murphy ◽  
Belén Martín Míguez ◽  
Jason McIlvenny ◽  
Philippe Gleizon
Keyword(s):  
Wave Energy ◽  
Satellite Altimetry ◽  
Energy Resource ◽  
Resource Assessment

A wave energy resource assessment case study: Review, analysis and lessons learnt

2013 ◽  
Vol 60 ◽  
pp. 510-521 ◽  
Author(s):  
Helen C.M. Smith ◽  
David Haverson ◽  
George H. Smith
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Review Analysis ◽  
Lessons Learnt ◽  
Study Review

scholarly journals HF Radars for Wave Energy Resource Assessment Offshore NW Spain

2021 ◽  
Vol 13 (11) ◽  
pp. 2070
Author(s):  
Ana Basañez ◽  
Vicente Pérez-Muñuzuri
Keyword(s):  
Wave Energy ◽  
Numerical Models ◽  
Wave Spectrum ◽  
Energy Resource ◽  
Electrical Energy ◽  
Resource Assessment ◽  
Electricity Production ◽  
Statistical Validation ◽  
Wave Energy Converters ◽  
Energy Converters

Wave energy resource assessment is crucial for the development of the marine renewable industry. High-frequency radars (HF radars) have been demonstrated to be a useful wave measuring tool. Therefore, in this work, we evaluated the accuracy of two CODAR Seasonde HF radars for describing the wave energy resource of two offshore areas in the west Galician coast, Spain (Vilán and Silleiro capes). The resulting wave characterization was used to estimate the electricity production of two wave energy converters. Results were validated against wave data from two buoys and two numerical models (SIMAR, (Marine Simulation) and WaveWatch III). The statistical validation revealed that the radar of Silleiro cape significantly overestimates the wave power, mainly due to a large overestimation of the wave energy period. The effect of the radars’ data loss during low wave energy periods on the mean wave energy is partially compensated with the overestimation of wave height and energy period. The theoretical electrical energy production of the wave energy converters was also affected by these differences. Energy period estimation was found to be highly conditioned to the unimodal interpretation of the wave spectrum, and it is expected that new releases of the radar software will be able to characterize different sea states independently.

Wave energy resource assessment in Lanzarote (Spain)

2013 ◽  
Vol 55 ◽  
pp. 480-489 ◽  
Author(s):  
J.P. Sierra ◽  
D. González-Marco ◽  
J. Sospedra ◽  
X. Gironella ◽  
C. Mösso ◽  
...  
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Resource Assessment

Wave Energy Resource Assessment Using Satellite Altimeter Data

2008 ◽  
Author(s):  
Ed Mackay ◽  
AbuBakr Bahaj ◽  
Chris Retzler ◽  
Peter Challenor
Keyword(s):  
Wave Energy ◽  
Significant Wave Height ◽  
Energy Resource ◽  
Resource Assessment ◽  
Altimeter Data ◽  
Energy Converter ◽  
Mean Power ◽  
Satellite Altimeter ◽  
Buoy Data ◽  
Satellite Altimeter Data

The use of altimeter measurements of significant wave height and energy period for quantifying wave energy resource is investigated. A new algorithm for calculating wave period from altimeter data, developed by the authors in previous work, is used to estimate the power generated by the Pelamis wave energy converter and compared to estimates from collocated buoy data. In offshore locations accurate estimates of monthly and annual mean power can be achieved by combining measurements from six altimeter missions. Furthermore, by averaging along sections of the altimeter ground track, we demonstrate that it is possible to gauge the spatial variability in nearshore areas, with a resolution of the order of 10 km. Although measurements along individual tracks are temporally sparse, with TOPEX/Poseidon and Jason on a 10 day repeat orbit, GFO 17 days, and ERS-2 and ENVISAT 35 days, the long record of altimeter measurements means that multi-year mean power from single tracks are of a useful accuracy.

Wave energy resource assessment for Red Sea

2017 ◽  
Vol 114 ◽  
pp. 46-58 ◽  
Author(s):  
V.M. Aboobacker ◽  
P.R. Shanas ◽  
M.A. Alsaafani ◽  
Alaa M.A. Albarakati
Keyword(s):  
Red Sea ◽  
Wave Energy ◽  
Energy Resource ◽  
Resource Assessment

scholarly journals Wave Energy Assessment in the South Aquitaine Nearshore Zone from a 44-Year Hindcast

2020 ◽  
Vol 8 (3) ◽  
pp. 199 ◽  
Author(s):  
Ximun Lastiri ◽  
Stéphane Abadie ◽  
Philippe Maron ◽  
Matthias Delpey ◽  
Pedro Liria ◽  
...  
Keyword(s):  
Wave Energy ◽  
Unstructured Grid ◽  
Energy Resource ◽  
Wave Model ◽  
Submarine Canyon ◽  
Resource Assessment ◽  
Resource Information ◽  
Energy Assessment ◽  
Local Wave ◽  
The One

Wave resource assessment is the first step toward the installation of a wave energy converter (WEC). To support initiatives for wave energy development in the southwest of France, a coastal wave database is built from a 44-year hindcast simulation with the spectral wave model SWAN (Simulating WAve Nearshore) run on a high-resolution unstructured grid. The simulation includes shallow-water processes such as refraction, shoaling, and breaking. The model is validated against a five-year coastal wave buoy recording. The study shows that most of the resource is provided by sea states with wave heights ranging from 2 to 5 m, with wave periods from 10 and 15 s, and coming from a very narrow angular sector. The long hindcast duration and the refined unstructured grid used for the simulation allow assessment of the spatiotemporal distribution of wave energy across the coastal area. On the one hand, large longshore variations of the resource caused by steep bathymetric gradients such as the Capbreton submarine canyon are underlined. On the other hand, the study highlights that no specific long-term trend can be extracted regarding the coastal wave energy resource evolution. The provided downscaled local wave resource information may be used to optimize the location and design of a future WEC that could be deployed in the region.

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