Exploitable wave energy assessment based on ERA-Interim reanalysis data-A case study in the East China Sea and the South China Sea

被引:27
|
作者
Wan Yong [1 ,2 ,3 ]
Zhang Jie [2 ]
Meng Junmin [2 ]
Wang Jing [1 ]
机构
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266100, Peoples R China
[2] State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
[3] China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
wave energy assessment; ERA-Interim reanalysis data; exploitable wave energy; theoretical wave energy; wave power density; high sea state; WIND ENERGY; RESOURCES; HINDCAST;
D O I
10.1007/s13131-015-0641-8
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Wave energy resources assessment is a very important process before the exploitation and utilization of the wave energy. At present, the existing wave energy assessment is focused on theoretical wave energy conditions for interesting areas. While the evaluation for exploitable wave energy conditions is scarcely ever performed. Generally speaking, the wave energy are non-exploitable under a high sea state and a lower sea state which must be ignored when assessing wave energy. Aiming at this situation, a case study of the East China Sea and the South China Sea is performed. First, a division basis between the theoretical wave energy and the exploitable wave energy is studied. Next, based on recent 20 a ERA-Interim wave field data, some indexes including the spatial and temporal distribution of wave power density, a wave energy exploitable ratio, a wave energy level, a wave energy stability, a total wave energy density, the seasonal variation of the total wave energy and a high sea condition frequency are calculated. And then the theoretical wave energy and the exploitable wave energy are compared each other; the distributions of the exploitable wave energy are assessed and a regional division for exploitable wave energy resources is carried out; the influence of the high sea state is evaluated. The results show that considering collapsing force of the high sea state and the utilization efficiency for wave energy, it is determined that the energy by wave with a significant wave height being not less 1 m or not greater than 4 m is the exploitable wave energy. Compared with the theoretical wave energy, the average wave power density, energy level, total wave energy density and total wave energy of the exploitable wave energy decrease obviously and the stability enhances somewhat. Pronounced differences between the theoretical wave energy and the exploitable wave energy are present. In the East China Sea and the South China Sea, the areas of an abundant and stable exploitable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait, east of Taiwan, China and north of Ryukyu Islands; annual average exploitable wave power density values in these areas are approximately 10-15 kW/m; the exploitable coefficient of variation (COV) and seasonal variation (SV) values in these areas are less than 1.2 and 1, respectively. Some coastal areas of the Beibu Gulf, the Changjiang Estuary, the Hangzhou Bay and the Zhujiang Estuary are the poor areas of the wave energy. The areas of the high wave energy exploitable ratio is primarily in nearshore waters. The influence of the high sea state for the wave energy in nearshore waters is less than that in offshore waters. In the areas of the abundant wave energy, the influence of the high sea state for the wave energy is prominent and the utilization of wave energy is relatively difficult. The developed evaluation method may give some references for an exploitable wave energy assessment and is valuable for practical applications.
引用
收藏
页码:143 / 155
页数:13
相关论文
共 50 条
  • [1] Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea
    WAN Yong
    ZHANG Jie
    MENG Junmin
    WANG Jing
    [J]. Acta Oceanologica Sinica, 2015, 34 (09) : 143 - 155
  • [2] Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea
    Yong Wan
    Jie Zhang
    Junmin Meng
    Jing Wang
    [J]. Acta Oceanologica Sinica, 2015, 34 : 143 - 155
  • [3] The assessment of ERA-interim wave data in the China Sea
    Shi, Hongyuan
    Sun, Jiacheng
    You, Zaijin
    Li, Qingjie
    Li, Delei
    Cao, Xuefeng
    [J]. DESALINATION AND WATER TREATMENT, 2020, 187 : 56 - 62
  • [4] Evaluation of wave energy resouces in South China Sea based on re-analyzed data of ERA-Interim
    Ding, Jie
    Wu, Guowei
    Du, Min
    Hou, Erhu
    Chen, Jiaqing
    Jiang, Bo
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (09): : 424 - 429
  • [5] Assessment of ERA-Interim Reanalysis Data Quality for the Caspian Sea Area
    Dyakonov, G. S.
    Ibrayev, R. A.
    Shishkova, P. O.
    [J]. RUSSIAN METEOROLOGY AND HYDROLOGY, 2020, 45 (09) : 650 - 657
  • [6] Assessment of ERA-Interim Reanalysis Data Quality for the Caspian Sea Area
    G. S. Dyakonov
    R. A. Ibrayev
    P. O. Shishkova
    [J]. Russian Meteorology and Hydrology, 2020, 45 : 650 - 657
  • [7] Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
    Duan, Chenglin
    Wang, Zhifeng
    Dong, Sheng
    Liao, Zhenkun
    [J]. OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES, 2018, 47 (04) : 415 - 428
  • [8] Wind energy and wave energy resources assessment in the East China Sea and South China Sea
    ZHENG ChongWei1
    2 Unit 12 No.92538 of PLA
    3 Unit No.92962 of PLA
    [J]. Science China Technological Sciences, 2012, (01) : 163 - 173
  • [9] Wind energy and wave energy resources assessment in the East China Sea and South China Sea
    Zheng ChongWei
    Zhuang Hui
    Li Xin
    Li XunQiang
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2012, 55 (01) : 163 - 173
  • [10] Wind energy and wave energy resources assessment in the East China Sea and South China Sea
    ZHENG ChongWeiZHUANG HuiLI Xin LI XunQiang Institute of Meteorology in Science and Technology University of PLANanjing China Unit No of PLADalian China Unit No of PLAGuangzhou China
    [J]. Science China(Technological Sciences)., 2012, 55 (01) - 173