Assessment of off-shore wave energy in the Black Sea on the basis of long-term wave hindcast

被引：0
|
作者：
Valchev, N. N. [1 ]
Andreeva, N. K. [1 ]
Valcheva, N. N. [1 ]
机构：
[1] Bulgarian Acad Sci, Inst Oceanol, Varna, Bulgaria
来源：
DEVELOPMENTS IN MARITIME TRANSPORTATION AND EXPLOITATION OF SEA RESOURCES, VOL 2 | 2014年
关键词：
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
The study deals with assessment of off-shore wave energy in the Black Sea. It is based on wave hindcast, forced with the wind output of the regional atmospheric model REMO, and spanning 59-yr period (1948-2006). Wave simulations were implemented with the third generation wave model WAM. Wave power is estimated based on wave climate knowledge and relationships of the stochastic wave theory. Spatial pattern of mean annual wave power is revealed. Furthermore, wave power distribution among different wave regimes is evaluated for six representative locations. The areas with the highest wave energy potential are determined. Results show that the most energetic zone of the Black Sea is the southwestern where the wave power maximum mounts to 3.5 kW/m. The western part of the basin could provide two times more energy than the eastern one. The most perspective wave regimes fall in the range of wave height 0.3 divided by 2.0 m and period 3.0 divided by 6.0 s, which provides more than 75% of average wave power potential.
引用
下载
收藏
页码：1021 / 1027
页数：7
相关论文
共 50 条
  • [41] Wave characteristics estimation by GPS receivers installed on a sailboat travelling off-shore
    De Girolamo, Paolo
    Crespi, Mattia
    Romano, Alessandro
    Mazzoni, Augusto
    Di Risio, Marcello
    Pasquali, Davide
    Bellotti, Giorgio
    Castellino, Myrta
    Sammarco, Paolo
    2018 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA; LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), 2018, : 18 - 22
  • [42] Simulations of an off-shore WEC: analysis of the potential energy producibility in the Mediterranean Sea
    Tumminelli, Federico
    Scozzaro, Manuela
    Nevoloso, Claudio
    Iones, Alfredo
    Trapanese, Marco
    Franzitta, Vincenzo
    OCEANS 2023 - LIMERICK, 2023,
  • [43] Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast
    Ahn, Seongho
    Tran, Trung Duc
    Kim, Jongho
    OCEAN ENGINEERING, 2022, 264
  • [44] Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast
    Ahn, Seongho
    Tran, Trung Duc
    Kim, Jongho
    Ocean Engineering, 2022, 264
  • [45] A long term wave hindcast system using ECMWF winds
    Hatada, Y
    Yamaguchi, M
    COASTAL ENGINEERING 1998, VOLS 1-3, 1999, : 509 - 522
  • [46] Long term wave hindcast system using ECMWF winds
    Hatada, Yoshio
    Yamaguchi, Masataka
    Proceedings of the Coastal Engineering Conference, 1998, 1 : 509 - 522
  • [47] The long-term wind and wave spectra of the Mediterranean Sea
    Stefanakos, Christos N.
    PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING, VOL 2, 2005, : 593 - 599
  • [48] Assessment of impacts on tropical marine environment for off-shore clean energy development
    Kandlakunta, Laxminarsimha Chary
    Deshmukh, M. K.
    Sharma, Nitin
    MATERIALS TODAY-PROCEEDINGS, 2020, 23 : 53 - 55
  • [49] Wave energy in the Balearic Sea. Evolution from a 29 year spectral wave hindcast
    de Leon, S. Ponce
    Orfila, A.
    Simarro, G.
    RENEWABLE ENERGY, 2016, 85 : 1192 - 1200
  • [50] Wave climate and long-term changes for the Southern North Sea obtained from a high-resolution hindcast 1958–2002
    Ralf Weisse
    Heinz Günther
    Ocean Dynamics, 2007, 57 : 161 - 172
12345