scholarly journals DETERMINATION OF WAVE ENERGY POTENTIAL OF BLACK SEA

2017 ◽  
pp. 6
Author(s):  
Bilal Bingölbali ◽  
Adem Akpınar ◽  
Gerbrant Van Vledder
Keyword(s):  
Black Sea ◽  
Wave Energy ◽  
Hot Spot ◽  
Wave Model ◽  
The Black Sea ◽  
Energy Potential ◽  
Buoy Data ◽  
Spatial And Temporal Characteristics

This study aims to assess wave energy potential and its long-term spatial and temporal characteristics in the Black Sea within the TUBITAK research project (Akpınar et al., 2015). With this purpose, a wave model (SWAN model version 41.01 driven by the CFSR winds) over the entire Black Sea was constructed. The model was calibrated using buoy data from 1996 at three offshore locations (Gelendzhik, Hopa, and Sinop) obtained within NATO TU-WAVES Project. The calibrated model was also validated using buoy data unused in calibration at five locations (Gelendzhik, Hopa, Gloria, Filyos, and Karaburun). Using this model a database including many of integral wave parameters (such as Hm0, Tm-10 etc.) was produced. Long-term variability of wave energy in the Black Sea basin over a period of 31 years was determined. Finally, hot-spot areas for harvesting wave energy in the Black Sea were identified.

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

scholarly journals A joint evaluation of wave and wind energy resources in the Black Sea based on 20-year hindcast information

2017 ◽  
Vol 36 (2) ◽  
pp. 335-351 ◽  
Author(s):  
Liliana Rusu ◽  
Daniel Ganea ◽  
Elena Mereuta
Keyword(s):  
Wind Energy ◽  
Black Sea ◽  
Wave Energy ◽  
Energy Resources ◽  
The Black Sea ◽  
Time Interval ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Wave Hindcast ◽  
Joint Evaluation

In this study, a joint evaluation of the wind and wave energy over the Black Sea basin is performed for a 20-year time interval. The importance of such a study is enhanced by the fact that the potential of the wave energy cannot be considered high compared to the large oceans, while the wind conditions over the Black Sea can be considered significant in various areas. The wind fields from the U.S. National Centers for Environmental Prediction were used for wind energy estimation. A high resolution wave hindcast database, as resulted from the simulations performed with the Simulating WAves Nearshore model, is used for a detailed analysis of the wave energy potential in the basin of the Black Sea. The reliability of the wave simulation results was increased by means of some data assimilation methodologies. The variability and complementarity of these renewable energy resources was investigated. The analysis showed that there exist some suitable areas for combined wind-wave exploitation.

Wave energy potential along the south-east coasts of the Black Sea

Energy ◽  
2012 ◽  
Vol 42 (1) ◽  
pp. 289-302 ◽  
Author(s):  
Adem Akpınar ◽  
Murat İhsan Kömürcü
Keyword(s):  
Black Sea ◽  
Wave Energy ◽  
The Black Sea ◽  
The South ◽  
Energy Potential

scholarly journals SPECTRAL PARTITIONING AND SWELLS IN THE BLACK SEA

2017 ◽  
pp. 21
Author(s):  
Gerbrant van Vledder ◽  
Adem Akpinar
Keyword(s):  
Black Sea ◽  
Wave Model ◽  
The Black Sea ◽  
Wave Hindcast ◽  
Spectral Wave Model ◽  
Seasonal Characteristics ◽  
Individual Wave ◽  
Wind Sea ◽  
Spectral Partitioning

The swell climate of the Black Sea has been determined using a long-term 31-year wave hindcast with the third-generation spectral wave model SWAN in combination with spectral partitioning. This technique enables decomposing wave spectra into individual wave systems representing wind seas or swells and computing integral wave parameters of each partition. Results are presented of the partition technique and of spatial and seasonal characteristics of wind sea and swell systems. In addition, the average amount of swell energy and the occurrence probability of dangerous crossing sea states are determined.

Assessing the Global Wave Energy Potential

2010 ◽  
Author(s):  
Gunnar Mo̸rk ◽  
Stephen Barstow ◽  
Alina Kabuth ◽  
M. Teresa Pontes
Keyword(s):  
Wave Energy ◽  
Wind Wave ◽  
Power Level ◽  
Wave Model ◽  
Altimeter Data ◽  
Second Step ◽  
Energy Potential ◽  
Satellite Altimeter ◽  
Buoy Data ◽  
Satellite Altimeter Data

In this paper the evaluation of the global wave energy potential is presented based on data from a global wind-wave model (validated and calibrated against satellite altimeter data) and buoy data (the WorldWaves database). The theoretical potential was computed first using all the available wave data and, in a second step, areas in which the power level is very low (P≤5kW/m) were excluded. Finally, in the third step, areas impacted by sea ice were removed. Annual and seasonal power distributions are presented both in tables and maps. The technical resource was also assessed for the west coast of Iberian peninsula showing a significant power decrease from north to south within only 500 km.

scholarly journals Temporal Variation of the Wave Energy Flux in Hotspot Areas of the Black Sea

2019 ◽  
Vol 11 (3) ◽  
pp. 562 ◽  
Author(s):  
Adem Akpınar ◽  
Halid Jafali ◽  
Eugen Rusu
Keyword(s):  
Temporal Variation ◽  
Black Sea ◽  
Energy Flux ◽  
Wave Energy ◽  
Temporal Variations ◽  
The Black Sea ◽  
Wave Power ◽  
Increasing Trend ◽  
Wave Energy Flux

This paper aims to examine the temporal variation of wave energy flux in the hotspot areas of the Black Sea. For this purpose, a 31-year long-term wave dataset produced by using a three-layered nested modelling system was used. Temporal variations of wave energy were determined at hourly, monthly, seasonal, and yearly basis at seventeen stations. Based on the results obtained, it can be concluded that the stations have very low fluctuations in mean wave power during the day. Mean wave power in the summer months shows a low difference between the stations, but in the winter months, there is a higher difference in wave power between the stations. This difference is more at the stations in the southwestern part of the Black Sea and much lower in the eastern Black Sea stations around Sinop, being in the middle of the southern coast of the Black Sea. In addition, it is concluded that mean wave energy flux presents a decreasing trend at all stations, but maximum wave power offers an increasing trend at most of the stations.

scholarly journals Dimensionless Normalized Wave Power in the Hot-spot Areas of the Black Sea

2020 ◽  
Vol 173 ◽  
pp. 01001
Author(s):  
Ajab Gul Majidi ◽  
Bilal Bingölbali ◽  
Adem Akpınar ◽  
Eugen Rusu
Keyword(s):  
Black Sea ◽  
Wave Energy ◽  
Hot Spot ◽  
Wave Energy Converter ◽  
The Black Sea ◽  
Wave Power ◽  
Energy Converter ◽  
Power Sources ◽  
Wave Hindcast ◽  
Power Capability

The main objective of this study is to identify and compare wave power sources in the high potential areas in nearshore and shallow water regions of the Black Sea. To achieve the goal, 23 locations were selected on two parallel lines around 5 m (10 sites) and around 25 m (13 sites) depth along the shoreline. The data needed to do the required analyzes at these locations were produced by using the calibrated nested layered 31-year wave hindcast SWAN model, which is operated between 1979-2009 with CFSR winds. The wave data were collected at a 2-hour time resolution for the sub-grid domains (SD3, SD2, and SD1) developed for the vicinity of Karaburun, Filyos, and Sinop coasts. HeaveBuoy, Oyster, Seabased AB, WaveDragon, WaveStar, Oyster2, and SSG, the most common known wave energy converters, were evaluated in the analysis. To ensure a more comprehensive analysis of the geographic variation of the predicted electrical power for each considered wave energy converter system, dimensionless normalized wave power and efficiency index were calculated separately for each wave energy converter devices at each location. From the results, it is recognized that generally, all the WEC systems performances are decreasing from Karaburun to Sinop while FB1 (13 m depth) the lowest, and KA2 (25 m depth) has the highest wave power capability. The most and the least energetic years were 1998 and 1989, repectively.

Oithona davisae: naturalization in the Black sea, inter-annual and seasonal dynamics, effect on the structure of the planktonic copepod community

2019 ◽  
Vol 59 (6) ◽  
pp. 1008-1015
Author(s):  
A. D. Gubanova ◽  
O. A. Garbazey ◽  
D. A. Altukhov ◽  
V. S. Mukhanov ◽  
E. V. Popova
Keyword(s):  
Black Sea ◽  
Coastal Waters ◽  
Native Species ◽  
Significant Decline ◽  
Acartia Tonsa ◽  
The Black Sea ◽  
Copepod Community ◽  
Oithona Davisae ◽  
Sevastopol Bay

Long-term (20032014) routine observations of zooplankton in Sevastopol Bay (the Black Sea) have allowed the naturalization of the invasive copepod Oithona davisae to be studied in the Black Sea coastal waters. Inter-annual and seasonal variability of the species and their impact on the native copepod community have been analyzed. The invasion of O. davisae and their undoubted dominance in terms of abundance were shown to alter the community structure but, at the same time, the abundances of the native species did not decrease, excepting the Black Sea earlier invader Acartia tonsa. A significant decline in A. tonsa numbers over the stages of O. davisae establishment and naturalization provided evidence of competition between the species. O. davisae have been demonstrated to gain competitive advantage over A. tonsa, that ensured their fast dispersal in the Black Sea, acclimatization in the new habitat and the successful competition over native species.

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