Numerical investigation of heat transfer performance of graphene-doped anti-/deicing component

• A numerical simulation was proposed to investigate the heat transfer and anti-/deicing performance for the GO doping anti-/deicing component. • The energy consumption decreased by 5.4 % under the mass fraction of 0.1 wt% GO. • The optimized parameters such as air speed, the mass fraction of GO, the heat flux of the heating layer, and the ambient temperature were obtained. Icing on wind turbine blades will affect the aerodynamic performance and damage the blade mass balance, which seriously reduce the power generation efficiency. In this paper, the heat transfer characteristics and anti-/deicing performance of a high heat transfer graphene oxide (GO) doped anti-/deicing component were investigated. Based on the numerical simulation analysis, the external flow field and internal temperature field distribution of the GO doped wind turbine blade anti-/deicing component was carried out, and the heat transfer ability of the anti-/deicing component was verified by heat transfer similarity experiment conducted under low temperature. The maximum error of the proposed heat transfer simulation model is 9.08%. The researches results showed that the heat transfer performance of anti-/deicing component was improved after GO doping. When the mass fraction of GO doping in the heat transfer layer was 0.10 wt%, the energy consumption was reduced by 5.40%. The operating parameters of the GO doped anti-/deicing component were optimized by response surface methodology. It is considered that anti-/deicing components of wind turbine blades had better anti-/deicing effect when the speed of wind turbine blade relative to ambient air was 15 m/s, the mass fraction of GO in heat transfer layer was 0.06 wt%, the heat flux of heating layer was 3195.02 W/m 2 , and the external environment temperature was −10 ℃.