Wind power prediction at southwest coast of Korea from measured wind data

被引:3
|
作者
Kim, Dong Hyawn [1 ]
Lee, Gee Nam [1 ]
Kwon, Osoon [2 ]
机构
[1] Kunsan Natl Univ, Dept Ocean Sci & Engn, Kunsan 573701, Jeonbuk, South Korea
[2] KIOST, Coastal Dev & Ocean Energy Res Div, Ansan 426744, Gyeonggi, South Korea
关键词
PERFORMANCE;
D O I
10.1063/1.4897462
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Generated power by 5MW wind turbine was predicted by using measured wind data at weather station called Herald of Meteorological and Oceanographic Special Unit-1 (HeMOSU-1) which is installed at south west coast of Korea. Transient time history of turbulent wind was generated from 10-min mean wind speed stored at HeMOSU-1 and then it was used in estimation of electric power by Bladed. Those estimated powers were used in both polynomial regression and neural network based power estimation. They were compared with each other for daily power and yearly power. Effect of mean wind speed and turbulence intensity was quantitatively analyzed and discussed. This technique further can be used to assess lifetime power of wind turbine. (C) 2014 AIP Publishing LLC.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] PREDICTION OF WIND VELOCITY FLUCTUATIONS FROM UPSTREAM DATA
    REINHOLD, TA
    HALCROW, DJ
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1987, 26 (01) : 53 - 64
  • [42] Analysis of Piled Concrete Foundation for a 3-MW Class Offshore Wind Turbine along the Southwest Coast in Korea
    Kim, Hyun-Gi
    Kim, Bum-Joon
    Lee, Kwang-Ho
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (03)
  • [43] Investigation on power control validation system of wind plant based on measured data
    Qian, Min-hui
    Zhu, Ling-zhi
    Jiang, Da-jun
    Zhao, Da-wei
    Liu, Yan-zhang
    Chen, Ning
    Ge, Jing
    2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,
  • [45] Wind Power on the Brazilian Northeast Coast, from the Whiff of Hope to Turbulent Convergence: The Case of the Galinhos Wind Farms
    de Azevedo Dantas, Eduardo Janser
    Rosa, Luiz Pinguelli
    da Silva, Neilton Fidelis
    Pereira, Marcio Giannini
    SUSTAINABILITY, 2019, 11 (14)
  • [46] Short-term Wind Power Prediction Method Based on Dynamic Wind Power Weather Division of Time Sequence Data
    Xiong Y.
    Liu K.
    Qin L.
    Ouyang T.
    He J.
    Dianwang Jishu/Power System Technology, 2019, 43 (09): : 3353 - 3359
  • [47] Validation the Wind Generator of Revised Wind Erosion Equation (RWEQ) using measured wind data of China
    Guo, Zhongling
    Zhang, Keli
    Zobeck, T. M.
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
  • [48] Measurements and Spatial Distribution Simulation of Impact Pile Driving Underwater Noise Generated During the Construction of Offshore Wind Power Plant Off the Southwest Coast of Korea
    Han, Dong-Gyun
    Choi, Jee Woong
    FRONTIERS IN MARINE SCIENCE, 2022, 8
  • [49] Wind Power Prediction with LSSVM Model Based on Data Stratification Pretreatment
    Zhang Wei
    Deng Yuan-chang
    Wei Zhen
    2013 INTERNATIONAL CONFERENCE ON MATERIALS FOR RENEWABLE ENERGY AND ENVIRONMENT (ICMREE), VOLS 1-3, 2013, : 360 - 363
  • [50] Very Short Term Wind Power Prediction: A Data Mining Approach
    Negnevitsky, A.
    Johnson, P.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 1594 - +