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A Review on the Estimation of Power Loss Due to Icing in Wind Turbines

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  • Leidy Tatiana Contreras Montoya

    (Wind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, Canada
    PAI+ Group, Energetics & Mechanics Department, Faculty of Engineering, Universidad Autónoma de Occidente, Cali, Valle del Cauca 760030, Colombia)

  • Santiago Lain

    (PAI+ Group, Energetics & Mechanics Department, Faculty of Engineering, Universidad Autónoma de Occidente, Cali, Valle del Cauca 760030, Colombia)

  • Adrian Ilinca

    (Wind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, Canada)

Abstract

The objective of this article is to review the methodologies used in the last 15 years to estimate the power loss in wind turbines due to their exposure to adverse meteorological conditions. Among the methods, the use of computational fluid dynamics (CFD) for the three-dimensional numerical simulation of wind turbines is highlighted, as well as the use of two-dimensional CFD simulation in conjunction with the blade element momentum theory (BEM). In addition, a brief review of other methodologies such as image analysis, deep learning, and forecasting models is also presented. This review constitutes a baseline for new investigations of the icing effects on wind turbines’ power outputs. Furthermore, it contributes to a continuous improvement in power-loss prediction and the better response of icing protection systems.

Suggested Citation

  • Leidy Tatiana Contreras Montoya & Santiago Lain & Adrian Ilinca, 2022. "A Review on the Estimation of Power Loss Due to Icing in Wind Turbines," Energies, MDPI, vol. 15(3), pages 1-26, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1083-:d:740044
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    Cited by:

    1. Da-Woon Jung & Chung-Won Seo & Young-Chan Lim & Dong-Sun Kim & Seung-Yul Lee & Hyun-Kyu Suh, 2023. "Analysis of Flow Characteristics of a Debris Filter in a Condenser Tube Cleaning System," Energies, MDPI, vol. 16(11), pages 1-15, June.
    2. Kumarasamy Palanimuthu & Ganesh Mayilsamy & Ameerkhan Abdul Basheer & Seong-Ryong Lee & Dongran Song & Young Hoon Joo, 2022. "A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems," Energies, MDPI, vol. 15(21), pages 1-27, November.
    3. Małgorzata Jastrzębska, 2022. "Installation’s Conception in the Field of Renewable Energy Sources for the Needs of the Silesian Botanical Garden," Energies, MDPI, vol. 15(18), pages 1-28, September.
    4. Xiao Wang & Zheng Zheng & Guoqian Jiang & Qun He & Ping Xie, 2022. "Detecting Wind Turbine Blade Icing with a Multiscale Long Short-Term Memory Network," Energies, MDPI, vol. 15(8), pages 1-19, April.

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