scholarly journals Wave Energy Assessment around the Aegadian Islands (Sicily)

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 333 ◽  
Author(s):  
Carlo Re ◽  
Giorgio Manno ◽  
Giuseppe Ciraolo ◽  
Giovanni Besio
Keyword(s):  
Energy Flux ◽  
Wave Energy ◽  
Energy Resource ◽  
Wave Model ◽  
Wave Climate ◽  
Propagation Model ◽  
Energy Potential ◽  
Wave Hindcast ◽  
Wave Energy Converters ◽  
Wave Energy Flux

This paper presents the estimation of the wave energy potential around the Aegadian islands (Italy), carried out on the basis of high resolution wave hindcast. This reanalysis was developed employing Weather Research and Forecast (WRF) and WAVEWATCH III ® models for the modelling of the atmosphere and the waves, respectively. Wave climate has been determined using the above-mentioned 32-year dataset covering the years from 1979 to 2010. To improve the information about wave characteristics regarding spatial details, i.e., increasing wave model resolution, especially in the nearshore region around the islands, a SWAN (Simulating WAves Nearshore) wave propagation model was used. Results obtained through the development of the nearshore analysis detected four energetic hotspots close to the coast of the islands. Near Marettimo island, only one hotspot was detected with a maximum wave energy flux of 9 kW/m, whereas, around Favignana, three hotspots were identified with a maximum wave energy flux of 6.5 kW/m. Such values of available wave energy resource are promising to develop different projects for wave energy converters in specific areas along the coast, in order to improve the energetic independence of Aegadian islands.

scholarly journals Joint Modelling of Wave Energy Flux and Wave Direction

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 460
Author(s):  
Takvor H. Soukissian ◽  
Flora E. Karathanasi
Keyword(s):  
Energy Flux ◽  
Wave Energy ◽  
Goodness Of Fit ◽  
North Atlantic Ocean ◽  
Wave Climate ◽  
Western Mediterranean ◽  
Wave Direction ◽  
Bivariate Model ◽  
The North ◽  
Wave Energy Flux

In the context of wave resource assessment, the description of wave climate is usually confined to significant wave height and energy period. However, the accurate joint description of both linear and directional wave energy characteristics is essential for the proper and detailed optimization of wave energy converters. In this work, the joint probabilistic description of wave energy flux and wave direction is performed and evaluated. Parametric univariate models are implemented for the description of wave energy flux and wave direction. For wave energy flux, conventional, and mixture distributions are examined while for wave direction proven and efficient finite mixtures of von Mises distributions are used. The bivariate modelling is based on the implementation of the Johnson–Wehrly model. The examined models are applied on long-term measured wave data at three offshore locations in Greece and hindcast numerical wave model data at three locations in the western Mediterranean, the North Sea, and the North Atlantic Ocean. A global criterion that combines five individual goodness-of-fit criteria into a single expression is used to evaluate the performance of bivariate models. From the optimum bivariate model, the expected wave energy flux as function of wave direction and the distribution of wave energy flux for the mean and most probable wave directions are also obtained.

A Detailed Investigation of the Nearshore Wave Climate and the Nearshore Wave Energy Resource on the West Coast of Ireland

2013 ◽  
Author(s):  
Sarah Gallagher ◽  
Roxana Tiron ◽  
Frederic Dias
Keyword(s):  
Wave Energy ◽  
West Coast ◽  
Energy Resource ◽  
Wave Model ◽  
Wave Climate ◽  
Western Coast ◽  
Climate Data ◽  
Offshore Area ◽  
Medium Range Weather Forecast ◽  
Maintenance Activities

The western coast of Ireland possesses one of the highest wave energy resources in the world and consequently is a promising location for the future deployment of Wave Energy Converters (WECs). Most wave climate studies for this region have focused primarily on the offshore area since it enjoys higher energy densities. However, recent studies have shown that nearshore locations offer a similar potential for the exploitation of wave energy as offshore sites [13]. Furthermore, the proximity of WEC devices to the shore will likely reduce losses in power transport, and facilitate access for maintenance activities. In this context, we analyse the wave climate over a ten year period for several nearshore sites off the Irish West Coast. The wave climate is estimated using a spectral wave model, WaveWatch III, forced with wind and spectral wave data from the ECMWF (European Centre for Medium Range Weather Forecast) operational archive. The wave model is validated with wave buoy data from intermediate to shallow depths (< 60 m). Our focus is on two aspects of the wave climate resource assessment. Firstly, we characterise the directionality of the wave energy resource (mean direction, directional spread) which affects the site selection, design and performance of nearshore WECs. Secondly, we discuss the climate data from the perspective of accessibility for maintenance. When selecting sites for the deployment of WECs, a balance needs to be found between two opposing criteria: the existence of sufficiently long, continuous time intervals of calm sea states (weather windows) which are necessary for maintenance activities to take place, and a high, consistent level of wave energy density, essential for economically viable wave energy extraction.

An Atlas of the Wave-Energy Resource in Europe

1996 ◽  
Vol 118 (4) ◽  
pp. 307-309 ◽  
Author(s):  
M. T. Pontes ◽  
G. A. Athanassoulis ◽  
S. Barstow ◽  
L. Cavaleri ◽  
B. Holmes ◽  
...  
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Wave Model ◽  
Wave Climate ◽  
Weather Forecasts ◽  
Wave Measurements ◽  
Directional Wave ◽  
Offshore Wave ◽  
Climate Statistics

An atlas of the European offshore wave energy resource, being developed within the scope of a European R&D program, includes the characterization of the offshore resource for the Atlantic and Mediterranean coasts of Europe in addition to providing wave-energy and wave-climate statistics that are of interest to other users of the ocean. The wave data used for compiling the Atlas come from the numerical wind-wave model WAM, implemented in the routine operation of the European Centre for Medium Range Weather Forecasts (ECMWF), in addition to directional wave measurements from the Norwegian offshore waters.

scholarly journals Wave Energy Flux Variability in the Caribbean Sea

2022 ◽  
Author(s):  
Andrés Fernando Orejarena ◽  
Juan Manuel Sayol ◽  
Ismael Hernández-carrasco ◽  
Alejandro Cáceres ◽  
Juan Camilo Restrepo ◽  
...  
Keyword(s):  
Energy Flux ◽  
Wave Energy ◽  
Southern Oscillation ◽  
Caribbean Sea ◽  
Western Basin ◽  
Wave Hindcast ◽  
Novel Approach ◽  
Wave Energy Flux ◽  
The Caribbean ◽  
And Migration

Abstract Wave energy flux (WEF) is assessed in the Caribbean Sea from a 60-year (1958--2017) wave hindcast. We use a novel approach, based on neural networks, to identify coherent regions of similar WEF and their association with different climate patterns. This method allows for a better evaluation of the underlying dynamics behind seasonal and inter-annual WEF variability, including the effect induced by the latitudinal migration of the Intertropical Convergence Zone (ITCZ), and the influence of El Ni\~no-Southern Oscillation events. Results show clear regional differences of the WEF variability likely due to both a clear regionalization of the WEF due to both the intensification and migration of the ITCZ. WEF exhibits a strong semiseasonal signal in areas of the continental shelf, with maximums in January and June, in agreement with the sea surface temperature and sea level pressure variability. At larger scales, WEF shows a significant correlation with the Oceanic Ni\~no Index depicting positive values in the central and western basin and negative ones at the eastern side.

scholarly journals Energetics of Seamount Wakes. Part II: Wave Fluxes

2020 ◽  
Vol 50 (5) ◽  
pp. 1383-1398 ◽  
Author(s):  
B. Perfect ◽  
N. Kumar ◽  
J. J. Riley
Keyword(s):  
Internal Wave ◽  
Internal Waves ◽  
Parameter Space ◽  
Energy Flux ◽  
Wave Energy ◽  
Wave Model ◽  
Barotropic Flow ◽  
Unsteady Wake ◽  
Lee Wave ◽  
Wave Energy Flux

AbstractSeamounts are thought to facilitate ocean mixing through unsteady wake processes, and through the generation of internal waves, which propagate away from the seamount and later break. The relative importance of these processes is examined for idealized, isolated seamounts (with characteristic width D and height H) in uniform barotropic flow U. A range of Coriolis parameters f and buoyancy frequencies N are used such that a broad parameter space of low Froude numbers (U/NH) and low Rossby numbers (U/fD) is considered. Results indicate that eddy processes energetically dominate the internal wave energy flux in this range of parameter space. The internal wave field is specifically examined and partitioned into steady lee waves and unsteady, wake-generated waves. It is found that the lee wave energy flux cannot be explained by existing analytical theories. A lee wave model by Smith is then extended into the low-Froude-number regime and the effect of rotation is included. While strongly stratified experiments have previously indicated that only the top U/N of an obstacle generates internal waves, the effect of rotation appears to modify this wavemaking height. Once the U/N height is revised to account for rotation, the lee wave energy flux can be reasonably accurately reproduced by the extended Smith model.

scholarly journals Modeling Sea Ice Effects for Wave Energy Resource Assessments

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3482
Author(s):  
Ruth Branch ◽  
Gabriel García-Medina ◽  
Zhaoqing Yang ◽  
Taiping Wang ◽  
Fadia Ticona Rollano ◽  
...  
Keyword(s):  
Sea Ice ◽  
Wave Height ◽  
Wave Energy ◽  
Numerical Models ◽  
Energy Resource ◽  
Wave Climate ◽  
Wave Power ◽  
Wave Energy Converters ◽  
Wave Models ◽  
Mean Square Errors

Wave-generated power has potential as a valuable coastal resource, but the wave climate needs to be mapped for feasibility before wave energy converters are installed. Numerical models are used for wave resource assessments to quantify the amount of available power and its seasonality. Alaska is the U.S. state with the longest coastline and has extensive wave resources, but it is affected by seasonal sea ice that dampens the wave energy and the full extent of this dampening is unknown. To accurately characterize the wave resource in regions that experience seasonal sea ice, coastal wave models must account for these effects. The aim of this study is to determine how the dampening effects of sea ice change wave energy resource assessments in the nearshore. Here, we show that by combining high-resolution sea ice imagery with a sea ice/wave dampening parameterization in an unstructured grid, the Simulating Waves Nearshore (SWAN) model improves wave height predictions and demonstrates the extent to which wave power decreases when sea ice is present. The sea ice parametrization decreases the bias and root mean square errors of wave height comparisons with two wave buoys and predicts a decrease in the wave power of up to 100 kW/m in areas around Prince William Sound, Alaska. The magnitude of the improvement of the model/buoy comparison depends on the coefficients used to parameterize the wave–ice interaction.

A Nearshore Wave Energy Atlas for Portugal

2003 ◽  
Vol 127 (3) ◽  
pp. 249-255 ◽  
Author(s):  
M. T. Pontes ◽  
R. Aguiar ◽  
H. Oliveira Pires
Keyword(s):  
Wave Height ◽  
Wave Energy ◽  
Extreme Values ◽  
Probability Distributions ◽  
Energy Resource ◽  
Joint Probability ◽  
Wave Model ◽  
Wave Climate ◽  
Open Ocean ◽  
Peak Period

The nearshore wave energy resource in Portugal has been assessed through the development of ONDATLAS. This is an electronic atlas, compatible with Internet access, containing comprehensive wave climate and wave energy statistics for 78 points at about 20m water depth spaced variably ca.5-30km, 5 points at deep water, and 2 points at open ocean locations. The data were produced by a third-generation wind-wave model, complemented by an inverse-ray model that computes the directional spectra transformation from open ocean to the nearshore. Shoaling, refraction, bottom dissipation, and shelter by the coastline and/or neighboring islands are taken into account. ONDATLAS statistics comprise yearly and monthly values, variability and probability data for significant wave height, energy (mean) period, peak period and wave power, and directional histograms for wave and power direction. Joint probability distributions for various combinations of the above parameters are also available, as well as extreme values and return period for wave height and period parameters. A summary of the detailed verification of this model using long-term buoy measurements at four sites is presented. The main characteristics of ONDATLAS are described. The strong spatial variability that wave conditions exhibit at the coastal area are illustrated and a brief assessment of the nearshore resource at the Portugal mainland is presented.

scholarly journals Evaluating the gravity wave energy potential off the Brazilian coast

2018 ◽  
Vol 66 (2) ◽  
pp. 220-233
Author(s):  
Camila Pegorelli ◽  
Marcelo Dottori ◽  
João Flesch Fortes
Keyword(s):  
Energy Flux ◽  
Wave Energy ◽  
Cold Front ◽  
Brazilian Coast ◽  
Energy Potential ◽  
Wave Regime ◽  
Trade Winds ◽  
Wave Energy Converters ◽  
Balanced Distribution ◽  
Energy Converters

Abstract The wave energy potential on the Brazilian coast is estimated using in-situ buoy data and model data. The results present a greater potential on the southern-southeastern coast than on the northeastern coast, but the variance is also larger. These seem to be associated with the different atmospheric regimes. While in the northeastern portion the trade winds determine the wave regime, in the south the passage of cold front systems plays a major role. For almost all regions and throughout the year, the energy potential oscillates between 10 and 30 kW/m, the most efficient range to implement wave energy converters. The occurrence of sea states is also assessed, showing that the passage of cold front systems also creates different sea states in the S-SW area. Finally, the most common sea states and energy flux are estimated, showing a shift towards longer periods and higher waves for the latter. On the S-SW coast, although the most frequent sea states have waves with periods around 8 s, the energy flux has a more balanced distribution between these and the waves with periods around 11s, the common period for waves generated by cold front systems. This result shows that the most common sea state is not necessarily the one that should be considered when planning wave energy converters for the region.

scholarly journals WAVE ENERGY RESOURCES ALONG CALABRIAN COASTS (ITALY)

2017 ◽  
pp. 5 ◽  
Author(s):  
Danilo Algieri Ferraro ◽  
Francesco Aristodemo ◽  
Paolo Veltri
Keyword(s):  
Wave Energy ◽  
Hot Spots ◽  
Southern Italy ◽  
Wave Climate ◽  
Energy Resources ◽  
Energy Potential ◽  
Wave Energy Converters ◽  
Deep Waters ◽  
Directional Wave ◽  
The Mean

The assessment of wave energy is fundamental to well evaluate potential wave energy at different sea locations and time scales in conjunction with the related occurrence of hot spots for an optimal installation of Wave Energy Converters (WECs). The present study has been performed off the coasts of Calabria (Southern Italy), a Mediterranean region characterized by a mild wave climate and quite representative of mean sea states in the Mediterranean basin. The wave energy potential has been assessed in deep waters by means of ECMWF operational wave data validated against RON buoys and UKMO data. The wave power is calculated as a function of the energy wave period deduced from directional wave spectra and compared with widely adopted relationships based on the use of a standard JONSWAP spectrum. The mean yearly and seasonal wave energy is then assessed at selected hot spots for Tyrrhenian and Ionian Seas at a water deep of 100 m suitable for the installation of several offshore WECs.

scholarly journals Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific

2021 ◽  
Vol 9 (11) ◽  
pp. 1264
Author(s):  
Emiliano Gorr-Pozzi ◽  
Héctor García-Nava ◽  
Marco Larrañaga ◽  
Melissa G. Jaramillo-Torres ◽  
Manuel G. Verduzco-Zapata
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Coastal Region ◽  
Wave Power ◽  
Mexican Pacific ◽  
Wave Hindcast ◽  
Wave Energy Converters ◽  
Complete Test ◽  
Minimum Number ◽  
Decentralized Energy

Most wave energy converters (WECs) are designed to operate in high-latitude energetic seas, limiting their performance in regions usually dominated by milder conditions. The present study assesses the performance of complete test-stage WECs in farms that satisfy a decentralized energy scheme (DES) on the coast of Baja California, which is considered one of the most energetic regions along the Mexican Pacific. A high-resolution 11-year nearshore wave hindcast was performed and validated with Acoustic Doppler Current Profilers (ADCPs) data to characterize the wave energy resource in the study area. Two hotspots were identified from the wave power climatology. In these sites, the extractive capacities of seven well-known WEC technologies were determined based on their power matrices. Finally, the power extracted by small WEC farms, with the minimum number of devices required to satisfy a DES, was estimated. The studied region has moderate wave power availability with marked seasonality and low inter-annual variability. Out of all the evaluated devices, WaveDragon extracts the highest wave power; however, Pelamis has the best performance, with maximum monthly mean capacity factors up to 40%. Coupling WEC farms with storage modules or hybrid renewable systems are recommended to satisfy a continuous DES during the less energetic summer months.

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