Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids

被引:67
作者
Lin, Yifan [1 ,2 ]
Dong, Sheng [1 ]
Wang, Zhifeng [1 ]
Guedes Soares, C. [2 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
[2] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, P-1049001 Lisbon, Portugal
基金
中国国家自然科学基金;
关键词
Wave energy; SWAN; Unstructured grids; China Sea; Continental shelf; Wave farm location; RESOURCE ASSESSMENT; BLACK-SEA; BIVARIATE DISTRIBUTIONS; POTENTIAL ASSESSMENT; COASTAL REGIONS; WIND-SEA; HINDCAST; HEIGHT; MODEL; WEST;
D O I
10.1016/j.renene.2019.01.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A 20 years hindcast, from 1996 to 2015, was performed to simulate the wave field in the China adjacent seas, including the Bohai Sea, Yellow Sea, East China Sea, as well as the northern South China Sea. Forced by CCMP V2.0 wind fields, the simulation was implemented on an unstructured SWAN model with refined spatial resolution in the continental shelf. Comparisons of significant wave height between simulations and JASON-2 altimetry measurements over the entire region and at fixed stations both show good agreement. The spatial distribution of wave energy flux was analysed on annual and monthly scales by its average values and the exploitable occurrences, the temporal variability of wave energy flux was quantified by the monthly variability index. Afterwards, taking jointly the geography restrictions on water depth and distance to shore into consideration, 12 hotspots were determined in the regions more eligible for wave energy harvesting in China. At these key locations, further sophisticated researches were conducted to investigate and compare the local wave energy and climate characteristics by means of the analysis on the storage of wave energy resource, operational, high and extreme wave conditions, the combined scatter and energy diagrams, as well as the wave energy roses. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:275 / 295
页数:21
相关论文
共 91 条
  • [51] Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China
    Liang, Bingchen
    Fan, Fei
    Yin, Zegao
    Shi, Hongda
    Lee, Dongyong
    [J]. RENEWABLE ENERGY, 2013, 57 : 330 - 338
  • [52] Wave energy resource assessment in the Mediterranean, the Italian perspective
    Liberti, Luca
    Carillo, Adriana
    Sannino, Gianmaria
    [J]. RENEWABLE ENERGY, 2013, 50 : 938 - 949
  • [53] Lopes RHC, 2011, International encyclopedia of statistical science, V1, P718
  • [54] Review of wave energy technologies and the necessary power-equipment
    Lopez, Iraide
    Andreu, Jon
    Ceballos, Salvador
    Martinez de Alegria, Inigo
    Kortabarria, Inigo
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 27 : 413 - 434
  • [55] Bivariate distributions of significant wave height and mean wave period of combined sea states
    Lucas, Claudia
    Soares, C. Guedes
    [J]. OCEAN ENGINEERING, 2015, 106 : 341 - 353
  • [56] Wave energy assessment in the central-south coast of Chile
    Lucero, Felipe
    Catalan, Patricio A.
    Ossandon, Alvaro
    Beya, Jose
    Puelma, Andres
    Zamorano, Luis
    [J]. RENEWABLE ENERGY, 2017, 114 : 120 - 131
  • [57] Nearshore assessment of wave energy resources in central Chile (2009-2010)
    Mediavilla, D. G.
    Sepulveda, H. H.
    [J]. RENEWABLE ENERGY, 2016, 90 : 136 - 144
  • [58] Wave energy potential assessment in the central and southern regions of the South China Sea
    Mirzaei, Ali
    Tangang, Fredolin
    Juneng, Liew
    [J]. RENEWABLE ENERGY, 2015, 80 : 454 - 470
  • [59] Wave energy potential along the east coast of Peninsular Malaysia
    Mirzaei, Ali
    Tangang, Fredolin
    Juneng, Liew
    [J]. ENERGY, 2014, 68 : 722 - 734
  • [60] Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast
    Morim, Joao
    Cartwright, Nick
    Etemad-Shahidi, Amir
    Strauss, Darrell
    Hemer, Mark
    [J]. APPLIED ENERGY, 2016, 184 : 276 - 297