Browsing by Author "Rusu, Eugen"

Now showing 1 - 3 of 3

Dimensionless normalized wave power in the hot -spot areas of the Black Sea
(E D P Sciences, 2020-01-01) Majidi, Ajab Gul; Bingölbalı, Bilal; Akpınar, Adem; Rusu, Eugen; Kolhe, M. L.; Majidi, Ajab Gul; BİNGÖLBALİ, BİLAL; AKPINAR, ADEM; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü.; Kolhe, M. L.; 0000-0003-0006-5843; 0000-0003-4496-5974; 0000-0002-5422-0119; AAB-4152-2020 ; AAC-8011-2021; AAC-6763-2019
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.
Temporal variation of the wave energy flux in hotspot areas of the Black sea
(Mdpi, 2019-01-21) Rusu, Eugen; Akpınar, Adem; Jafali, Halid; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü.; 0000-0002-9042-6851; AAC-6763-2019; ABE-8817-2020; 23026855400; 57205266652
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.
Wave power performance of wave energy converters at high-energy areas of a semi-enclosed sea
(Pergamon-Elsevier Science Ltd, 2021-01-02) Rusu, Eugen; Majidi, Ajab Gul; Bingolbali, Bilal; BİNGÖLBALİ, BİLAL; Akpinar, Adem; AKPINAR, ADEM; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi.; 0000-0003-0006-5843; 0000-0003-4496-5974; 0000-0002-5422-0119; 0000-0001-6899-8442; AAC-6763-2019; B-6766-2011; AAB-4152-2020; AAC-8011-2021
The paper focuses on the performance and determination of optimal installation depths of wave energy converter systems (WECs) in less intensified wave energy locations. Therefore, the study aims to investigate the changes in wave power production performance of different WECs along the coastline of the south-western parts of the Black Sea, a semi-enclosed sea. For this purpose, the data needed was extracted from the dataset produced for the period 1979 to 2009 using a calibrated nested layered wave hindcast SWAN version 41.01AB model forced with CFSR winds. The discussion focuses on the most essential five statistical parameters (dimensionless normalized wave power, efficiency index, capacity factor, capture width and energy production per unit of rated power) that can present an easy and more precise idea about the power production performance of WECs at different depths. The results present that the wave energy resource intensity is generally decreasing gradually from Karaburun to Sinop in the study area; the most energy intensified location is line KA, and the Oceantec WECs shows the best performance in its installation depth range. At different locations and depths, different WECs are more suitable for installation.