Study of ice accretion on wind turbine blade profiles using thermal infrared imaging

被引:7
|
作者
Yousuf, Adeel [1 ]
Jin, Jia Yi [1 ]
Sokolov, Pavlo [1 ]
Virk, Muhammad S. [1 ]
机构
[1] UiT Arctic Univ Norway, Fac Engn Sci & Technol, Arctic Technol & Icing Res Grp, Lodve Langesgate 2, N-8515 Narvik, Nordland, Norway
关键词
Wind turbine; atmospheric icing; thermal infrared image; icing tunnel; blade profile;
D O I
10.1177/0309524X20933948
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
Atmospheric icing has been recognized as hindrance in proper utilization of good wind resources in cold regions. There is a growing need to better understand the ice accretion physics along wind turbine blades to improve its performance and for optimal design of anti/de-icing system. This article describes a study of ice accretion along wind turbine blade profiles using thermal infrared imaging. Surface temperature distribution along four different blade profile surfaces is studied at different operating conditions. Analysis shows that surface temperature distribution along blade profile surface during ice accretion process is a dynamic process and change in atmospheric conditions and blade geometric characteristics significantly affects the surface temperature and resultant ice accretion. The effect of blade geometry on ice accretion is more prominent in case of wet ice conditions due to low freezing fraction and water run back along blade profile surface.
引用
下载
收藏
页码:872 / 883
页数:12
相关论文
共 50 条
  • [31] Wind turbine blade defect detection using hyperspectral imaging
    Rizk, Patrick
    Younes, Rafic
    Ilinca, Adrian
    Khoder, Jihan
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 22
  • [32] Ice accretion thickness prediction using flash infrared thermal imaging and BP neural networks
    Hao, Lu
    Li, Qingying
    Pan, Weichen
    Yao, Rao
    Liu, Senyun
    IET IMAGE PROCESSING, 2023, 17 (03) : 649 - 659
  • [33] Isogeometric analysis of ice accretion on wind turbine blades
    Johnson, Emily L.
    Hsu, Ming-Chen
    COMPUTATIONAL MECHANICS, 2020, 66 (02) : 311 - 322
  • [34] A Solution for Ice Accretion Detection on Wind Turbine Blades
    Sabatier, Jocelyn
    Lanusse, Patrick
    Feytout, Benjamim
    Gracia, Serge
    ICINCO: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS - VOL 1, 2017, : 414 - 421
  • [35] Infrared Thermal Imaging-Based Turbine Blade Crack Classification Using Deep Learning
    Benedict E. Jaeger
    Simon Schmid
    Christian U. Grosse
    Anian Gögelein
    Frederik Elischberger
    Journal of Nondestructive Evaluation, 2022, 41
  • [36] Prediction of Ice Accretion on Wind Turbine with Numerical Method
    Yi, Xian
    Wang, Kaichun
    Ma, Honglin
    RENEWABLE AND SUSTAINABLE ENERGY II, PTS 1-4, 2012, 512-515 : 754 - +
  • [37] Infrared Thermal Imaging-Based Turbine Blade Crack Classification Using Deep Learning
    Jaeger, Benedict E.
    Schmid, Simon
    Grosse, Christian U.
    Goegelein, Anian
    Elischberger, Frederik
    JOURNAL OF NONDESTRUCTIVE EVALUATION, 2022, 41 (04)
  • [38] Study on the thermal transformation of basic components of wind turbine blade
    Ge, Lichao
    Jiang, Han
    Feng, Hongcui
    Xu, Chunyao
    Lu, Yanning
    Li, Xi
    Chen, Bo
    Xu, Chang
    ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2023, 18 (05)
  • [39] Isogeometric analysis of ice accretion on wind turbine blades
    Emily L. Johnson
    Ming-Chen Hsu
    Computational Mechanics, 2020, 66 : 311 - 322
  • [40] Transient atmospheric ice accretion on wind turbine blades
    Ibrahim, Galal M.
    Pope, Kevin
    Muzychka, Yuri S.
    WIND ENGINEERING, 2018, 42 (06) : 596 - 606