Experimental investigation of surface wettability induced anti-icing characteristics in an ice wind tunnel
Haoyang Sun,
Guiping Lin,
Haichuan Jin,
Xueqin Bu,
Chujiang Cai,
Qi Jia,
Kuiyuan Ma and
Dongsheng Wen
Renewable Energy, 2021, vol. 179, issue C, 1179-1190
Abstract:
Turbine blade icing is a serious threat for the safety of wind power generation. Low energy ice protection techniques especially those using superhydrophobic surfaces, have attracted intensive interest recently. In this work, the anti-icing characteristics of wind turbine blade have been investigated in an ice wind tunnel, and the influence of surface wettabilities, preparation methods on the ice protection performance and the durability of different surface materials have been examined experimentally. It is found that the surface wettability can dramatically change the ice protection characteristics. Superhydrophobic surfaces prepared by both spraying and laser ablation methods can efficiently reduce the energy consumption of the electrothermal system, and the maximum reduction reaches 76.7% when the temperature of heating surface is lower than 15°C. The surface tension induced flow pattern change of runback water should be responsible for the efficient anti-icing performance, where the runback water sheds from the superhydrophobic surface rapidly, preventing the runback icing on the surface. Droplets impacting can damage the wettabilities and the superhydrophobic surface prepared by laser ablation method shows a better durability during the ice wind tunnel test. A new concept of superhydrophobic-dry anti-icing has been proposed based on the results of this work, which is very promising in solving the icing issue of wind turbine blade with low energy consumption.
Keywords: Superhydrophobic surface; Wind turbine blade icing; Anti-icing; Ice protection; Ice wind tunnel; Durability (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:179:y:2021:i:c:p:1179-1190
DOI: 10.1016/j.renene.2021.07.114
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