An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades. (April 2018)

• Record Type: Journal Article
• Authors: Wang, Yibing; Xu, Yuanming; Lei, Yuyong
• Is Part Of: Renewable energy. Volume 118(2018)
• Page Start: 1015
• Page End: 1023
• Publication Date: 2018-04
• Subjects: Wind turbine blades -- Cold condition -- Ultrasonic de-icing -- Composite -- Prediction; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2017.10.074
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Wind turbines operating in cold and moist climates often suffer from icing events. Ice accretion on wind turbine blades threatens safe operation of wind turbines. Additionally, this phenomenon results in deterioration in power performance, which undoubtedly leads to economic losses. Ultrasonic guided wave anti-/de-icing technology has advantages of low energy consumption, light weight and low cost. However, there are few systematic methods to evaluate the de-icing effect of ultrasonic de-icing system on composite wind turbine blades. In this paper, an integrated and systematic method for the assessment and prediction of ultrasonic de-icing effect for composite wind turbine blades was proposed. Firstly, the interface integrity extent ( IIE ) and its rate of change were defined to describe the ice de-bonding behavior. Secondly, the adhesive strength of ice on the composite surface was measured, and an ultrasonic de-icing experiment was carried out. Thirdly, the optimal frequency for this de-icing system was calculated, and the stress distribution in the interface was obtained using numerical simulations. Finally, after determining the rate of change of IIE and carrying out the parameter fitting, the method for the assessment and prediction of ultrasonic de-icing effect was established. This method provides guidance for the design of ultrasonic de-icing systems. Graphical abstract: Highlights: This work established a quantitative model in describing ultrasonic deicing effect, which can predict the deicing process and time in details. This method bridge the gap between variety influence factor and the ultrasonic de-icing effect. The relationship between parameters and de-icing time was revealed quantitatively.