Comprehensive Analysis of De-Icing Technologies for Wind Turbine Blades: Mechanisms, Modeling, and Performance Evaluation

The accumulation of ice on wind turbine blades presents a significant challenge in cold and high-altitude regions, where it alters the aerodynamic profile of the blades, increases drag, and reduces lift. Icing can reduce annual energy production by 20–40%, with extreme cases causing up to 37.5% generation loss due to earlier stalls and increased aerodynamic resistance. This research goal is to investigate the impact of ice formation on wind turbine performance and to evaluate the effectiveness of various mitigation measures. This study focuses on the Electro-Impulse De-Icing (EIDI) method and an approach to design and simulate it in COMSOL Multiphysics version 6.2, incorporating coupled electromagnetic, structural, and heat transfer physics to capture the generation of the Lorentz force and the resulting blade response. Quantitative analysis demonstrates that EIDI requires approximately 550–1450 kWh of energy per icing season for blades ranging from 30–80 m, which is significantly lower than conventional thermal systems (>8000 kWh) and more reliable against thick glaze ice than ultrasonic methods. The results highlight the potential of EIDI as a localized, energy-efficient solution that minimizes aerodynamic degradation and downtime, thereby offering higher reliability and long-term viability for wind turbines in cold climates.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-10-17
DOI
https://doi.org/10.3390/en18205486
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Analysis of De-Icing Technologies for Wind Turbine Blades: Mechanisms, Modeling, and Performance Evaluation

Ashraf Ali Khan, Sayed Preonto, Aninda Swarnaker
Energies
Icing and De-icing Technologies
article

Comprehensive Analysis of De-Icing Technologies for Wind Turbine Blades: Mechanisms, Modeling, and Performance Evaluation

Ashraf Ali Khan, Sayed Preonto, Aninda Swarnaker
article en

Abstract

The accumulation of ice on wind turbine blades presents a significant challenge in cold and high-altitude regions, where it alters the aerodynamic profile of the blades, increases drag, and reduces lift. Icing can reduce annual energy production by 20–40%, with extreme cases causing up to 37.5% generation loss due to earlier stalls and increased aerodynamic resistance. This research goal is to investigate the impact of ice formation on wind turbine performance and to evaluate the effectiveness of various mitigation measures. This study focuses on the Electro-Impulse De-Icing (EIDI) method and an approach to design and simulate it in COMSOL Multiphysics version 6.2, incorporating coupled electromagnetic, structural, and heat transfer physics to capture the generation of the Lorentz force and the resulting blade response. Quantitative analysis demonstrates that EIDI requires approximately 550–1450 kWh of energy per icing season for blades ranging from 30–80 m, which is significantly lower than conventional thermal systems (>8000 kWh) and more reliable against thick glaze ice than ultrasonic methods. The results highlight the potential of EIDI as a localized, energy-efficient solution that minimizes aerodynamic degradation and downtime, thereby offering higher reliability and long-term viability for wind turbines in cold climates.

EnergiesVol. 18(20)
Memorial University of Newfoundland (CA)
Openalex Percentile: Top 61%
Icing and De-icing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comprehensive Analysis of De-Icing Technologies for Wind Turbine Blades: Mechanisms, Modeling, and Performance Evaluation — Ashraf Ali Khan, Sayed Preonto, et al. · Energies (2025) | TGRS Research Map | TGRS