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.

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Publication Details

Journal
Energies
Published
2025-06-30
DOI
https://doi.org/10.3390/en18133448
Citations
3
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
14.98

Funders

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article

Impact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study

Haiming Wen, Dayong Zhang, Jinxiao Wang, Ji Yang et al.
3 citations
Energies
Icing and De-icing Technologies
14.98
article

Impact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study

Haiming Wen, Dayong Zhang, Jinxiao Wang, Ji Yang, Yang Liu, Chenyang Liu
article en
3 citations

Abstract

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.

EnergiesVol. 18(13)
Dalian University of Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 2%
Icing and De-icing Technologies
14.98
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Impact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study — Haiming Wen, Dayong Zhang, et al. · Energies (2025) | TGRS Research Map | TGRS