Resource assessment for combined offshore wind and wave energy in China

被引:0
|
作者
JIANG Bo [1 ]
HOU ErHu [1 ]
GAO ZhiTeng [2 ]
DING Jie [1 ]
FANG YiZhou [1 ]
KHAN Salman S. [3 ]
WU GuoWei [1 ]
WANG Qiang [4 ]
MENG FanTai [2 ]
LI Ye [2 ]
WANG XiaoYong [1 ]
机构
[1] National Ocean Technology Center
[2] School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University
[3] Oceans and Atmosphere Division, Commonwealth Scientific and Industrial Research Organization
[4] Southern Marine Science and Engineering Guangdong Laboratory(Zhanjiang)
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
P743.2 [波浪能]; P752 [海上工程]; TM614 [风能发电];
学科分类号
0807 ;
摘要
The development of offshore wind farms has experienced rapid growth during the past decade. In particular, China has the highest number of installations worldwide, but some challenges exist for further development. Consequently, some researchers suggest combining wave energy with offshore wind energy. To fully implement this plan, a comprehensive resource assessment of combined offshore wind and wave energy systems is needed. Investigations of the parameters, such as the spatial and temporal distribution of wind and wave energy, aggregate resource reserves, available technical potential, and total capacity factor, are vital for designing the required wind turbines and wave energy converters. To assist scientific development and governmental decision making, this paper aims to evaluate offshore wind and wave energy resources from a technological perspective. The results show that theoretical offshore wind and wave energy resources are abundant in China’s ocean territory, with a potential of approximately 3 TW. Technically, of the three most popular offshore wind turbines, i.e., 6, 8, and 10 MW, 10 MW is overall the most suitable in China. However, of the three wave energy converters, i.e., 120, 250, and 750 kW, 120 kW is the best candidate for Liaoning Province, and 750 kW is the most suitable for the remainder of its region. Overall, the total annual energy production is approximately 7000 TWh.
引用
收藏
页码:2530 / 2548
页数:19
相关论文
共 50 条
  • [41] Offshore wind resource assessment using reanalysis data
    Ahmad, Sajeer
    Abdullah, Muhammad
    Kanwal, Ammara
    Tahir, Zia ul Rehman
    Bin Saeed, Usama
    Manzoor, Fabia
    Atif, Muhammad
    Abbas, Sabtain
    WIND ENGINEERING, 2022, 46 (04) : 1173 - 1186
  • [42] Predicting the wind energy resource in the offshore seas of Europe
    Palutikof, JP
    Halliday, JA
    Watson, GM
    Holt, T
    Barthelmie, RJ
    Coelingh, JP
    Folkerts, L
    Cleijne, JW
    THIRD SYMPOSIUM ON ENVIRONMENTAL APPLICATIONS: FACILITATING THE USE OF ENVIRONMENTAL INFORMATION, 2002, : 70 - 73
  • [43] Wind Energy Resource Assessment for Wind Farm
    Ma Huiqun
    Wang Qifeng
    MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 1295 - 1297
  • [44] Potential of China's offshore wind energy
    Xia, Siyou
    Yang, Yu
    Liu, Yi
    SCIENCE, 2023, 379 (6635) : 888 - 888
  • [45] Wind energy and wave energy resources assessment in the East China Sea and South China Sea
    Zheng ChongWei
    Zhuang Hui
    Li Xin
    Li XunQiang
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2012, 55 (01) : 163 - 173
  • [46] 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
    Science China(Technological Sciences), 2012, 55 (01) : 163 - 173
  • [47] Wind energy and wave energy resources assessment in the East China Sea and South China Sea
    ChongWei Zheng
    Hui Zhuang
    Xin Li
    XunQiang Li
    Science China Technological Sciences, 2012, 55 : 163 - 173
  • [48] 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
    Science China(Technological Sciences), 2012, (01) : 163 - 173
  • [49] A wind resource assessment at Arax Point: A node for central Mediterranean offshore wind resource evaluation
    Farrugia, Robert N.
    Sant, Tonio
    WIND ENGINEERING, 2016, 40 (05) : 438 - 446
  • [50] Wind Resource Assessment and Energy Analysis for Wind Energy Projects
    Samal, Rajat Kanti
    Tripathy, M.
    2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING - RECENT ADVANCES (CERA), 2017, : 128 - 133