scholarly journals Wave Energy Assessment and Wind Correlation for the North Region of Scotland, Hindcast Resource and Calibration, Investigating for Improvements of Physical Model for Adaptation to Temporal Correlation

2014 ◽  
Author(s):  
George Lavidas ◽  
Vengatesan Venugopal ◽  
Daniel Friedrich ◽  
Atul Argawal
Keyword(s):  
Wave Energy ◽  
Numerical Models ◽  
Energy Resource ◽  
Temporal Correlation ◽  
Wave Model ◽  
Resource Assessment ◽  
Wave Modelling ◽  
Energy Assessment ◽  
The North ◽  
Set Up

Wave energy sites around Scotland, are considered one of the most energetic waters, as they are exposed to the Atlantic Ocean. The amount of energy reaching the shoreline provides an opportunity for wave energy deployments. Currently, considerations on wave devices expect them to be installed at nearshore locations. That means that the potential wave resource has to be investigated, since deep to shallow water interactions alter the shape of propagated waves. Resource assessment for these regions is essential in order to estimate the available and extractable energy resource. Although several numerical models exist for wave modelling, not all are suitable for nearshore applications. For the present work, the nearshore wave model SWAN has been used to simulate waves for the Hebridean region. The set-up, calibration and validation of the model are discussed. The resulting wave conditions are compared with buoy measurements. Results indicate that the modelling technique performed well.

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.

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.

scholarly journals WAVE MODELLING IN A COMPLEX ESTUARY: STUDY IN PREPARATION OF FIELD MEASUREMENT CAMPAIGN EEMS-DOLLARD ESTUARY

2018 ◽  
pp. 66
Author(s):  
Patrick Oosterlo ◽  
Jentsje W. Van der Meer ◽  
Bas Hofland ◽  
Gerbrant Van Vledder
Keyword(s):  
Prediction Models ◽  
Wave Model ◽  
Wave Modelling ◽  
Measurement Campaign ◽  
The North ◽  
Wave Measurements ◽  
Shelf Sea ◽  
Wave Models ◽  
Set Up ◽  
Insight Into

This paper considers the Eems-Dollard estuary in the north of the Netherlands, which is part of the shallow shelf sea the Wadden Sea. This estuary is a highly complex area with tidal flats and deep channels and is characterised by an offshore directed wind, posing a challenge to wave prediction models. As little measurements are available, a measurement campaign is set up to provide field data for verifying and improving these wave models. The paper presents the locations that are most suited for wave measurements in the estuary, insight in the performance of the phase-averaged numerical wave model SWAN, and insight in the processes that play a role in the area around the corner of the Eemshaven. Furthermore, it presents insight into the reliability and applicability of SWAN in this highly complex area. An analysis of propagation effects is performed, as well as a comparison between the SWAN version as used for the Dutch dike safety assessment and the newest version, used for development, which includes the state of the art parameterisations of the physics. Furthermore, modelling is done for a schematised version of the area around the corner of the Eemshaven, considering several different model settings. Large differences occur in the results between the two SWAN versions. These differences are studied in more detail, and the causes of these differences are identified.

Wave Modelling for Potential Wave Energy Sites Around the Outer Hebrides

2013 ◽  
Author(s):  
Charles E. Greenwood ◽  
Vengatesan Venugopal ◽  
David Christie ◽  
James Morrison ◽  
Arne Vögler
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Wave Model ◽  
Storm Events ◽  
Wave Modelling ◽  
Calibration Process ◽  
Potential Wave ◽  
Current Profiler ◽  
Outer Hebrides ◽  
Near Shore

This paper presents the results of a numerical wave modelling study carried out to assess the near shore wave energy resource around potential wave energy sites at the Outer Hebrides in the United Kingdom. This study uses Danish Hydraulic Institute’s MIKE 21 Spectral Wave model suite. Input boundary conditions are obtained from a Datawell directional wave buoy located approximately 16 km off the coast of Lewis in 60 metre depth. Additional data collected from a submerged Acoustic Wave and Current profiler (AWAC) located at 13 metre depth offshore at one of the wave energy development sites was used to calibrate and validate the wave model for separate time periods. The calibration process allows the manipulation of white capping, bottom friction and wave breaking parameters to alter the energy dissipation across the model domain. The altered parameters gave a significantly better agreement between modelled and measured results than the model defaults. While the average wave conditions provided a relatively straightforward calibration process the more extreme storm events significantly under predicted the wave height. After several trials in altering model coefficients a good agreement was reached between the model results and the AWAC data. These new sets of calibration parameters enable the simulation of wave heights within 13% for the AWAC data and marginally more for wave periods for the first 6 months of 2012.

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.

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

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 Modeling Assessment of Tidal Energy Extraction in the Western Passage

2020 ◽  
Vol 8 (6) ◽  
pp. 411
Author(s):  
Zhaoqing Yang ◽  
Taiping Wang ◽  
Ziyu Xiao ◽  
Levi Kilcher ◽  
Kevin Haas ◽  
...  
Keyword(s):  
Cross Sections ◽  
Numerical Models ◽  
Three Dimensional ◽  
Energy Resource ◽  
Field Measurements ◽  
Tidal Energy ◽  
Resource Assessment ◽  
Ocean Model ◽  
Energy Extraction ◽  
Technical Specifications

Numerical models have been widely used for the resource characterization and assessment of tidal instream energy. The accurate assessment of tidal stream energy resources at a feasibility or project-design scale requires detailed hydrodynamic model simulations or high-quality field measurements. This study applied a three-dimensional finite-volume community ocean model (FVCOM) to simulate the tidal hydrodynamics in the Passamaquoddy–Cobscook Bay archipelago, with a focus on the Western Passage, to assist tidal energy resource assessment. IEC Technical specifications were considered in the model configurations and simulations. The model was calibrated and validated with field measurements. Energy fluxes and power densities along selected cross sections were calculated to evaluate the feasibility of the tidal energy development at several hotspots that feature strong currents. When taking both the high current speed and water depth into account, the model results showed that the Western Passage has great potential for the deployment of tidal energy farms. The maximum extractable power in the Western Passage was estimated using the Garrett and Cummins method. Different criteria and methods recommended by the IEC for resource characterization were evaluated and discussed using a sensitivity analysis of energy extraction for a hypothetical tidal turbine farm in the Western Passage.

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