Technological advancements for anti-icing and de-icing offshore wind turbine blades DOI Creative Commons

Emmanuel Quayson-Sackey,

Baafour Nyantekyi-Kwakye, Godwin Kafui Ayetor

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104400 - 104400

Published: Dec. 1, 2024

Language: Английский

An Experimental Study on the Surface De-Icing of FRP Plates via the External Hot-Air Method DOI Open Access
Yan Li, Haotian Zheng,

Haodong Chi

et al.

Coatings, Journal Year: 2025, Volume and Issue: 15(1), P. 42 - 42

Published: Jan. 3, 2025

In cold and humid climate conditions, the surface of wind turbine blades is prone to icing. Effective de-icing methods have attracted widespread attention from scholars around world. this study, an external hot-air test system was designed constructed. A program for FRP plate formulated. The main parameters experiment included temperature (25~55 °C), speed (7~13 m/s), jet distance between outlet pipe ice (100~400 mm), inner diameter device air (50 mm, 63 90 different times. Critical data on mass, energy consumption, efficiency were obtained. experimental results showed that method could be used de-icing. Under conditions experiment, lowest consumption highest 21.1 kJ/g 4.95% achieved when 55 °C 13 m/s.

Language: Английский

Citations

0

Research and Application of Microwave Microstrip Transmission Line-Based Icing Detection Methods for Wind Turbine Blades DOI Creative Commons
Mingfen Meng, Xiang Yuan Zheng,

Zhonghui Wu

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 613 - 613

Published: Jan. 21, 2025

In areas where there is high humidity and freezing rain, a tendency of blade icing on wind turbines. It results in energy dissipation mechanical abrasion also creates safety concern due to the risk having falling ice. Real-time online detection crucial enhancement power generation efficiency The current methods that use ultrasound, optics, vibration, electromagnetics are already studied. But these have their drawbacks, including small ranges, low accuracy, large size, challenges distributed installation, making it hard capture real-time dynamics de-icing processes turbine blades. To this end, paper presents new surface technique using microstrip lines. This approach uses impact state thickness effective dielectric constant line surface. analysis time-domain features microwave signals, which facilitates identification both corresponding thickness. Simulation experimental measurement linear S-shaped sensors used research order compare response variation layer. seen for ranging from 0 mm 6 mm, imaginary part S21 parameter has more significant change than line. above experiments confirm phase shift value always higher same thickness, proves sensitive one. Also, was possible establish relationship between values makes predict developed technology intended usage similar areas. method saves size sensors, conduct measurements at various points. especially beneficial blades can be further applied aerospace, automotive, construction, bridges.

Language: Английский

Citations

0

Plasma-based anti-/de-icing: an experimental study utilizing supercooled water droplet image velocimetry DOI
Weiwei Hui, Zhipeng Chen, Jianjun Ma

et al.

Experiments in Fluids, Journal Year: 2025, Volume and Issue: 66(2)

Published: Jan. 22, 2025

Language: Английский

Citations

0

Acoustic Emission-based Wind Turbine Blade Icing Monitoring Using Deep Learning Technology DOI

Lei Jiang,

Shiping Zhang,

Guo Qing Shen

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122980 - 122980

Published: March 1, 2025

Language: Английский

Citations

0

Ice mitigation in alpine wind farm: A centrifugal force-based icing-throw strategy study at natural icing environment DOI
Chang Xie

Cold Regions Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104518 - 104518

Published: April 1, 2025

Language: Английский

Citations

0

Technological advancements for anti-icing and de-icing offshore wind turbine blades DOI Creative Commons

Emmanuel Quayson-Sackey,

Baafour Nyantekyi-Kwakye, Godwin Kafui Ayetor

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104400 - 104400

Published: Dec. 1, 2024

Language: Английский

Citations

1