Ice Accretion Prediction on Wind Turbines and Consequent Power Losses

被引:37
|
作者
Yirtici, Ozcan [1 ]
Tuncer, Ismail H. [1 ]
Ozgen, Serkan [1 ]
机构
[1] METU, Dept Aerosp Engn, TR-06800 Ankara, Turkey
关键词
D O I
10.1088/1742-6596/753/2/022022
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Ice accretion on wind turbine blades modifies the sectional profiles and causes alteration in the aerodynamic characteristic of the blades. The objective of this study is to determine performance losses on wind turbines due to the formation of ice in cold climate regions and mountainous areas where wind energy resources are found. In this study, the Blade Element Momentum method is employed together with an ice accretion prediction tool in order to estimate the ice build-up on wind turbine blades and the energy production for iced and clean blades. The predicted ice shapes of the various airfoil profiles are validated with the experimental data and it is shown that the tool developed is promising to be used in the prediction of power production losses of wind turbines.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Ice accretion prediction on multielement airfoils
    Mingione, G
    Brandi, V
    JOURNAL OF AIRCRAFT, 1998, 35 (02): : 240 - 246
  • [32] Extreme Wind Speeds and Their Prediction for Wind Turbines
    Rohatgi, Janardan
    Araujo, Alex
    Primo, Ana Rosa
    WIND ENGINEERING, 2013, 37 (06) : 595 - 603
  • [33] Wind turbine icing characteristics and icing-induced power losses to utility-scale wind turbines
    Gao, Linyue
    Hu, Hui
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (42)
  • [34] Ice aggregation and ice throw from small wind turbines
    Drapalik, Markus
    Zajicek, Larissa
    Purker, Sebastian
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2021, 192
  • [35] POWER FROM WIND TURBINES
    ABELSON, PH
    SCIENCE, 1993, 261 (5126) : 1255 - 1255
  • [36] Deep Learning-Based Prediction of Wind Power for Multi-turbines in a Wind Farm
    Chen, Xiaojiao
    Zhang, Xiuqing
    Dong, Mi
    Huang, Liansheng
    Guo, Yan
    He, Shiying
    Frontiers in Energy Research, 2021, 9
  • [37] Deep Learning-Based Prediction of Wind Power for Multi-turbines in a Wind Farm
    Chen, Xiaojiao
    Zhang, Xiuqing
    Dong, Mi
    Huang, Liansheng
    Guo, Yan
    He, Shiying
    FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [38] Energy Losses at Wind Turbines Operating in Variable Wind Speed Conditions
    Paul, Chioncel Cristian
    Geza-Mihai, Erdodi
    Dordescu, Marian
    2020 INTERNATIONAL SYMPOSIUM ON FUNDAMENTALS OF ELECTRICAL ENGINEERING (ISFEE), 2020,
  • [39] Surrogate modelling for ice accretion prediction on wind turbine blades based on support vector regression
    Mao, Shouyuan
    Wu, Yangyang
    Zhao, Liheng
    Mo, Weike
    IET RENEWABLE POWER GENERATION, 2024,
  • [40] On the Power Losses of Cylindrical and Bevel Gears Used in Wind Turbines and Tracking Systems for Photovoltaic Platforms
    Moldovean, Gh
    Butuc, B. R.
    Bozan, C. A.
    SYROM 2009: PROCEEDINGS OF THE 10TH IFTOMM INTERNATIONAL SYMPOSIUM ON SCIENCE OF MECHANISMS AND MACHINES, 2009, 2010, : 337 - 350