Assessment of the mean wave energy potential of the Atlantic European coast using numerical models

2013 ◽  
pp. 1003-1010
Author(s):  
A Bento ◽  
Marta Gonçalves ◽  
Dina Silva ◽  
Paulo Martinho
Keyword(s):  
Wave Energy ◽  
Numerical Models ◽  
Energy Potential ◽  
The Mean ◽  
European Coast

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.

Power Absorption Measures and Comparisons of Selected Wave Energy Converters

2011 ◽  
Author(s):  
Aure´lien Babarit ◽  
Jorgen Hals ◽  
Adi Kurniawan ◽  
Torgeir Moan ◽  
Jorgen Krokstad
Keyword(s):  
Wave Energy ◽  
Numerical Models ◽  
Energy Output ◽  
Absorbed Energy ◽  
Wave Energy Converters ◽  
Working Principle ◽  
Two Bodies ◽  
Selection Of ◽  
European Coast ◽  
Energy Converters

In this study, a selection of Wave Energy Converters (WECs) with different working principle is considered. It comprises a heaving device reacting against the seabed, a heaving self-reacting two-bodies device, a pitching device, and a floating OWC device. They are inspired by concepts which are currently under development. For each of these concepts, a numerical Wave To Wire (W2W) model is derived. Numerical estimates of the energy delivery which one can expect are derived using these numerical models on a selection of wave site along the European coast. This selection of wave site is thought to be representative with levels of mean annual wave power from 15 to 88 kW/m. Using these results, the performance of each WEC is assessed not only in terms of yearly energy output, but also in terms of yearly absorbed energy/displacement, yearly absorbed energy/wetted surface, and yearly absorbed energy per unit significant Power Take Off force. By comparing these criteria, one gets a better idea of the advantages and drawbacks of each of the studied concepts.

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.

Intercomparison of Mesoscale Model Simulations of the Daytime Valley Wind System

2011 ◽  
Vol 139 (5) ◽  
pp. 1389-1409 ◽  
Author(s):  
Juerg Schmidli ◽  
Brian Billings ◽  
Fotini K. Chow ◽  
Stephan F. J. de Wekker ◽  
James Doyle ◽  
...  
Keyword(s):  
Land Surface ◽  
Mesoscale Model ◽  
Numerical Models ◽  
Surface Wind ◽  
Sensible Heat Flux ◽  
Surface Wind Speed ◽  
Time Shift ◽  
Wind System ◽  
Valley Wind ◽  
The Mean

Three-dimensional simulations of the daytime thermally induced valley wind system for an idealized valley–plain configuration, obtained from nine nonhydrostatic mesoscale models, are compared with special emphasis on the evolution of the along-valley wind. The models use the same initial and lateral boundary conditions, and standard parameterizations for turbulence, radiation, and land surface processes. The evolution of the mean along-valley wind (averaged over the valley cross section) is similar for all models, except for a time shift between individual models of up to 2 h and slight differences in the speed of the evolution. The analysis suggests that these differences are primarily due to differences in the simulated surface energy balance such as the dependence of the sensible heat flux on surface wind speed. Additional sensitivity experiments indicate that the evolution of the mean along-valley flow is largely independent of the choice of the dynamical core and of the turbulence parameterization scheme. The latter does, however, have a significant influence on the vertical structure of the boundary layer and of the along-valley wind. Thus, this ideal case may be useful for testing and evaluation of mesoscale numerical models with respect to land surface–atmosphere interactions and turbulence parameterizations.

Numerical Modeling to Aid in the Structural Health Monitoring of Wave Energy Converters

2013 ◽  
Vol 569-570 ◽  
pp. 595-602 ◽  
Author(s):  
William Finnegan ◽  
Jamie Goggins
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Wave Energy ◽  
Numerical Models ◽  
Wave Structure ◽  
Ocean Waves ◽  
Test Site ◽  
Structural Health ◽  
Wave Energy Converters ◽  
Energy Converters

A vital aspect of ensuring the cost effectiveness of wave energy converters (WECs) is being able to monitor their performance remotely through structural health monitoring, as these devices are deployed in very harsh environments in terms of both accessibility and potential damage to the devices. The WECs are monitored through the use of measuring equipment, which is strategically placed on the device. This measured data is then compared to the output from a numerical model of the WEC under the same ocean wave conditions. Any deviations would suggest that there are problems or issues with the WEC. The development of accurate and effective numerical models is necessary to minimise the number of times the visual, or physical, inspection of a deployed WEC is required. In this paper, a numerical wave tank model is, first, validated by comparing the waves generated to those generated experimentally using the wave flume located at the National University of Ireland, Galway. This model is then extended so it is suitable for generating real ocean waves. A wave record observed at the Atlantic marine energy test site has been replicated in the model to a high level of accuracy. A rectangular floating prism is then introduced into the model in order to explore wave-structure interaction. The dynamic response of the structure is compared to a simple analytical solution and found to be in good agreement.

Estimation of Electrical-Wave Power in Merang Shore, Terengganu, Malaysia

2014 ◽  
Vol 66 (2) ◽  
Author(s):  
Jaswar Jaswar ◽  
C. L. Siow ◽  
A. Maimun ◽  
C. Guedes Soares
Keyword(s):  
Renewable Energy ◽  
Wave Energy ◽  
Electrical Power ◽  
Green Technology ◽  
Solar Photovoltaic ◽  
Oscillating Water Column ◽  
Mean Wave Period ◽  
Point Absorbers ◽  
The Mean ◽  
Wave Converter

Malaysian government introduced Small Renewable Energy Power (SREP) Program such as biomass, biogas, and municipal solid waste, solar photovoltaic and mini-hydroelectric facilities in 2001. In year 2010, the energy generated by biomass was achieved 18 MW and mini hydro also successes to generate around 23 MW. Green Technology and Water Malaysia are targeted by Ministry of Energy to achieve cumulative renewable energy capacity around 2080 MW at year 2020 and 21.4 GW at year 2050. This paper discusses the possibility to utilize ocean wave in Merang shore, Terengganu, Malaysia. The literature reviewed available technologies used to convert wave energy to electricity which are developing currently. The available technologies reviewed here are attenuator, overtopper, point absorbers, oscillating wave surge converter and oscillating water column. The work principle of the device was covered. Finally, the sea condition in Malaysia also studied to analyze the possibility to utilize the wave energy by using the available technologies. It is found that the mean wave height is 0.95 meter and the mean wave period is 3.5 second in the Merang shore, Terengganu, Malaysia. Attenuator type wave converter developed by Wave Star is considered as one of the possible devices to be installed at the location. From the calculation, it is obtained that the total rate electrical power possible to grid is 649 MWh a year if only one set of C5 Wave star device is installed on Merang shore, Terengganu.

Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas

2020 ◽  
Vol 154 ◽  
pp. 136-150 ◽  
Author(s):  
Bilal Bingölbali ◽  
Halid Jafali ◽  
Adem Akpınar ◽  
Serkan Bekiroğlu
Keyword(s):  
Black Sea ◽  
Wave Energy ◽  
The Black Sea ◽  
The South ◽  
Energy Potential ◽  
Web Based ◽  
South West ◽  
The Web

On the Determination of Age of Air Trends from Atmospheric Trace Species

2011 ◽  
Vol 68 (1) ◽  
pp. 139-154 ◽  
Author(s):  
Rolando R. Garcia ◽  
William J. Randel ◽  
Douglas E. Kinnison
Keyword(s):  
Climate Model ◽  
Meridional Circulation ◽  
Transport Model ◽  
Numerical Models ◽  
Chemical Species ◽  
Large Error ◽  
Atmospheric Concentration ◽  
Nonlinear Growth ◽  
Mean Meridional Circulation ◽  
The Mean

Abstract Trace chemical species have been used in numerical models to calculate the age of air (AOA), which is a measure of the strength of the mean meridional circulation. The trend in the AOA has also been computed and found to be negative in simulations where greenhouse gases increase with time, which is consistent with the acceleration of the mean meridional circulation calculated under these conditions. This modeling result has been tested recently using observations of SF6, a very long lived species whose atmospheric concentration has increased rapidly over the last half century, and of CO2, which is also very long lived and increasing with time. Surprisingly, the AOA estimated from these gases exhibits no significant trend over the period 1975–2005. Here the Whole Atmosphere Community Climate Model (WACCM) is used to derive estimates of the AOA from SF6 and CO2 over the period 1965–2006. The calculated AOA yields trends that are smaller than the trend derived from a synthetic, linearly growing tracer, even after accounting for the nonlinear growth rates of SF6 and CO2. A simplified global transport model and analytical arguments are used to show that this follows from the variable growth rate of these species. It is also shown that, when AOA is sampled sparsely as in the observations, the resulting trends have very large error bars and are statistically undistinguishable from zero. These results suggest that trends in the AOA are difficult to estimate unambiguously except for well-sampled tracers that increase linearly and uniformly. While such tracers can be defined in numerical models, there are no naturally occurring species that exhibit such idealized behavior.

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