Jinxiao Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jinxiao Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chenyang Liu
School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
1 shared publication - Dayong Zhang
School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, China
1 shared publication - Haiming Wen
School of Chemical, Ocean and Life Sciences, Dalian University of Technology (DUT), Dalian 116024, China
1 shared publication - Yang Ji
School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124224, China
1 shared publication - Yang Liu
School of Ocean Science and Technology, Dalian University of Technology 3 , Panjin 124221, China
1 shared publication
Latest Publications
- Open Access
Impact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study
This study investigates aerodynamic degradation and power loss mechanisms in iced wind turbine blades using a hybrid methodology integrating high-fidelity CFD simulations (ANSYS Fluent, FENSAP-ICE, STAR-CCM+ with SST k-ω turbulence model and shallow-water icing theory) with controlled wind tunnel experiments (10–15 m/s). Three ice accretion types, glaze, mixed, and rime, on NACA0012 airfoils are quantified. Glaze ice at the leading edge induces the most severe degradation, reducing lift by 34.9% and increasing drag by 97.2% at 10 m/s. STAR-CCM+ analyses reveal critical pressure anomalies and ice morphology-dependent flow separation patterns. These findings inform the optimization of anti-icing strategies for cold-climate wind farms.
Open AccessImpact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study
This study investigates aerodynamic degradation and power loss mechanisms in iced wind turbine blades using a hybrid methodology integrating high-fidelity CFD simulations (ANSYS Fluent, FENSAP-ICE, STAR-CCM+ with SST k-ω turbulence model and shallow-water icing theory) with controlled wind tunnel experiments (10–15 m/s). Three ice accretion types, glaze, mixed, and rime, on NACA0012 airfoils are quantified. Glaze ice at the leading edge induces the most severe degradation, reducing lift by 34.9% and increasing drag by 97.2% at 10 m/s. STAR-CCM+ analyses reveal critical pressure anomalies and ice morphology-dependent flow separation patterns. These findings inform the optimization of anti-icing strategies for cold-climate wind farms.