Wind turbine blade icing diagnosis using hybrid features and Stacked-XGBoost algorithm

T Tao, Y Liu, Y Qiao, L Gao, J Lu, C Zhang, Y Wang - Renewable Energy, 2021 - Elsevier
Icing significantly affects the performance of wind turbines in terms of power loss and
structural degradation, and an effective blade icing diagnosis is the prerequisite to achieve …

Intelligent ice detection on wind turbine blades using semantic segmentation and class activation map approaches based on deep learning method

K Hacıefendioğlu, HB Başağa, Z Yavuz, MT Karimi - Renewable Energy, 2022 - Elsevier
Studying the efficacy of intelligent systems to successfully detect ice accumulation on wind
turbines in cold climates has been gaining traction in recent years. In this study, both …

An efficacious model for predicting icing-induced energy loss for wind turbines

L Swenson, L Gao, J Hong, L Shen - Applied Energy, 2022 - Elsevier
The wind industry in cold climates has shown strong growth in recent years, but turbine icing
in these regions can cause significant energy loss leading to a reduction in reliability of wind …

Wind turbine blade icing diagnosis using B-SMOTE-Bi-GRU and RFE combined with icing mechanism

C Tao, T Tao, S He, X Bai, Y Liu - Renewable Energy, 2024 - Elsevier
Low temperature and high humidity in winter can easily lead to blade icing, which severely
impacts the actual power output and safe operation of wind turbines. However, existing …

Data-driven yaw misalignment correction for utility-scale wind turbines

L Gao, J Hong - Journal of Renewable and Sustainable Energy, 2021 - pubs.aip.org
In recent years, wind turbine yaw misalignment that tends to degrade the turbine power
production and impact the blade fatigue loads raises more attention along with the rapid …

Numerical analysis of blade icing influence on the dynamic response of an integrated offshore wind turbine

Z Chuang, C Li, S Liu, X Li, Z Li, L Zhou - Ocean Engineering, 2022 - Elsevier
When a wind turbine is working in a cold and humid environment, icing may occur which
lead to its performance reduction or even blades fracture. In this paper, a CFD-WTIA (Wind …

Wind farm icing loss forecast pertinent to winter extremes

L Gao, T Dasari, J Hong - Sustainable Energy Technologies and …, 2022 - Elsevier
The 2021 Texas power crisis has highlighted the vulnerability of the power system under
wind extremes, particularly with the increasing penetration of energy resources that depend …

Wind Turbine Blade Icing Prediction Using Focal Loss Function and CNN-Attention-GRU Algorithm

C Tao, T Tao, X Bai, Y Liu - Energies, 2023 - mdpi.com
Blade icing seriously affects wind turbines' aerodynamic performance and output power.
Timely and accurately predicting blade icing status is crucial to improving the economy and …

Evaluation of meteorological measurements made on the nacelle of wind turbines in cold climate

P Roberge, J Lemay, J Ruel, A Bégin-Drolet - Cold Regions Science and …, 2022 - Elsevier
Operating wind turbines in cold climate leads to several challenges not encountered in
regular climates such as frequent icing. These challenges are amplified by the difficulties …

Anisotropic Icephobic Mechanisms of Textured Surface: Barrier or Accelerator?

D Yang, Y Zheng, J Li, AT Clare… - ACS Applied Materials …, 2024 - ACS Publications
Icing has been seen as an economic and safety hazard due to its threats to aviation, power
generation, offshore platforms, etc., where passive icephobic surfaces with a surface …