Design of a Flexible Icing Monitoring Sensor with Dielectric Shift

Micro-topography and micro-meteorological conditions have a significant impact on the operation of wind turbines in winter, especially the issue of blade icing. Icing not only reduces power generation efficiency but also leads to uneven mass distribution of the blades due to the added ice layer, resulting in asymmetric loads. This can trigger mechanical failures and ultimately cause equipment downtime. Currently, assessing the icing condition of blades mainly relies on changes in the power curve of wind turbines under specific climatic conditions and adjusting the operation strategy of the wind turbines. However, since changes in the power curve are influenced by various factors, directly observing the icing condition of the blades is difficult, increasing the risk of misjudgment. To address this issue, this paper proposes a novel icing monitoring sensor for wind turbine blades. The sensor is designed to be installed on the surface of the blades, featuring self-power generation, wireless transmission, and flexibility, enabling real-time monitoring of the increase and decrease of the ice layer on the blade surface.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icpes63746.2024.10856657
Citations
2
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
2.60
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article

Design of a Flexible Icing Monitoring Sensor with Dielectric Shift

Xin Chen, Huanyu Yang, Honghua Hu, Jing Luo et al.
2 citations
Icing and De-icing Technologies
2.60
article

Design of a Flexible Icing Monitoring Sensor with Dielectric Shift

Xin Chen, Huanyu Yang, Honghua Hu, Jing Luo, Bo Li, Linwei Huang
article en
2 citations

Abstract

Micro-topography and micro-meteorological conditions have a significant impact on the operation of wind turbines in winter, especially the issue of blade icing. Icing not only reduces power generation efficiency but also leads to uneven mass distribution of the blades due to the added ice layer, resulting in asymmetric loads. This can trigger mechanical failures and ultimately cause equipment downtime. Currently, assessing the icing condition of blades mainly relies on changes in the power curve of wind turbines under specific climatic conditions and adjusting the operation strategy of the wind turbines. However, since changes in the power curve are influenced by various factors, directly observing the icing condition of the blades is difficult, increasing the risk of misjudgment. To address this issue, this paper proposes a novel icing monitoring sensor for wind turbine blades. The sensor is designed to be installed on the surface of the blades, featuring self-power generation, wireless transmission, and flexibility, enabling real-time monitoring of the increase and decrease of the ice layer on the blade surface.

Hunan Xiangdian Test Research Institute (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Icing and De-icing Technologies
2.60
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