IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v256y2026ipfs0960148125020129.html

An experimental study on ice accretion characteristics and icing-induced aerodynamic penalties to offshore wind turbines

Author

Listed:
  • Sista, Harsha
  • Hu, Haiyang
  • Hu, Hui

Abstract

An experimental study was conducted to characterize the dynamic ice accretion process and icing-induced aerodynamic penalties to offshore wind turbines under highly wetted icing environments during sea spray icing events. A turbine blade model was exposed to frozen-cold airflows with the Liquid Water Content levels up to 10.0 g/m3 and ambient temperatures down to −15.0 °C. Ice accretion characteristics under highly wetted icing environments were found to be significantly different from those of the onshore turbine icing scenarios with much lower Liquid Water Content levels. While a typical rime icing process was found to be experienced by onshore wind turbines at the cold temperature of −15.0 °C, mixed or even glaze icing processes occurred over the blade surfaces of offshore wind turbines due to the much higher wetted icing environments. The aerodynamic penalties induced by the mixed and glaze ice accretion were found to be significantly greater (i.e., up to 15 % more accreted ice mass, 85 % less lift, and 150 % more drag) than the rime icing scenario. However, at a “warmer” icing temperature of −5.0 °C, the glaze icing process over blade surfaces under highly wetted icing environments was accompanied by significant runback of unfrozen water, causing smaller aerodynamic penalties to offshore wind turbines.

Suggested Citation

  • Sista, Harsha & Hu, Haiyang & Hu, Hui, 2026. "An experimental study on ice accretion characteristics and icing-induced aerodynamic penalties to offshore wind turbines," Renewable Energy, Elsevier, vol. 256(PF).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:pf:s0960148125020129
    DOI: 10.1016/j.renene.2025.124348
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125020129
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.124348?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Gao, Linyue & Tao, Tao & Liu, Yongqian & Hu, Hui, 2021. "A field study of ice accretion and its effects on the power production of utility-scale wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 917-928.
    2. Mu, Zhongqiu & Guo, Wenfeng & Li, Yan & Tagawa, Kotaro, 2023. "Wind tunnel test of ice accretion on blade airfoil for wind turbine under offshore atmospheric condition," Renewable Energy, Elsevier, vol. 209(C), pages 42-52.
    3. Tomas Wallenius & Ville Lehtomäki, 2016. "Overview of cold climate wind energy: challenges, solutions, and future needs," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(2), pages 128-135, March.
    4. Gao, Linyue & Liu, Yang & Zhou, Wenwu & Hu, Hui, 2019. "An experimental study on the aerodynamic performance degradation of a wind turbine blade model induced by ice accretion process," Renewable Energy, Elsevier, vol. 133(C), pages 663-675.
    5. Zeng, Jing & Song, Bingliang, 2017. "Research on experiment and numerical simulation of ultrasonic de-icing for wind turbine blades," Renewable Energy, Elsevier, vol. 113(C), pages 706-712.
    6. Dalili, N. & Edrisy, A. & Carriveau, R., 2009. "A review of surface engineering issues critical to wind turbine performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 428-438, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ma, Liqun & Zhang, Zichen & Gao, Linyue & Liu, Yang & Hu, Hui, 2020. "An exploratory study on using Slippery-Liquid-Infused-Porous-Surface (SLIPS) for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 162(C), pages 2344-2360.
    2. Tao, Tao & Liu, Yongqian & Qiao, Yanhui & Gao, Linyue & Lu, Jiaoyang & Zhang, Ce & Wang, Yu, 2021. "Wind turbine blade icing diagnosis using hybrid features and Stacked-XGBoost algorithm," Renewable Energy, Elsevier, vol. 180(C), pages 1004-1013.
    3. Sergio Campobasso, M. & Castorrini, Alessio & Ortolani, Andrea & Minisci, Edmondo, 2023. "Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    4. Yan Li & He Shen & Wenfeng Guo, 2021. "Simulation and Experimental Study on the Ultrasonic Micro-Vibration De-Icing Method for Wind Turbine Blades," Energies, MDPI, vol. 14(24), pages 1-15, December.
    5. Gao, Linyue & Liu, Yang & Zhou, Wenwu & Hu, Hui, 2019. "An experimental study on the aerodynamic performance degradation of a wind turbine blade model induced by ice accretion process," Renewable Energy, Elsevier, vol. 133(C), pages 663-675.
    6. Eleni Douvi & Dimitra Douvi, 2023. "Aerodynamic Characteristics of Wind Turbines Operating under Hazard Environmental Conditions: A Review," Energies, MDPI, vol. 16(22), pages 1-43, November.
    7. Zhijin Zhang & Hang Zhang & Xu Zhang & Qin Hu & Xingliang Jiang, 2024. "A Review of Wind Turbine Icing and Anti/De-Icing Technologies," Energies, MDPI, vol. 17(12), pages 1-34, June.
    8. Yan Li & Ce Sun & Yu Jiang & Fang Feng, 2019. "Scaling Method of the Rotating Blade of a Wind Turbine for a Rime Ice Wind Tunnel Test," Energies, MDPI, vol. 12(4), pages 1-15, February.
    9. Gao, Linyue & Tao, Tao & Liu, Yongqian & Hu, Hui, 2021. "A field study of ice accretion and its effects on the power production of utility-scale wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 917-928.
    10. Yadi Tian & Zhaohui Zhang & Xiaojing Wang & Wanheng Li & Yang Xu, 2025. "Icing Monitoring of Wind Turbine Blade Based on Fiber Bragg Grating Sensors and Strain Ratio Index," Energies, MDPI, vol. 18(16), pages 1-24, August.
    11. Cheng, Xu & Shi, Fan & Liu, Yongping & Liu, Xiufeng & Huang, Lizhen, 2022. "Wind turbine blade icing detection: a federated learning approach," Energy, Elsevier, vol. 254(PC).
    12. Wang, Yibing & Xu, Yuanming & Su, Fei, 2020. "Damage accumulation model of ice detach behavior in ultrasonic de-icing technology," Renewable Energy, Elsevier, vol. 153(C), pages 1396-1405.
    13. Liu, W.Y. & Zhang, W.H. & Han, J.G. & Wang, G.F., 2012. "A new wind turbine fault diagnosis method based on the local mean decomposition," Renewable Energy, Elsevier, vol. 48(C), pages 411-415.
    14. Tang, Baoping & Liu, Wenyi & Song, Tao, 2010. "Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution," Renewable Energy, Elsevier, vol. 35(12), pages 2862-2866.
    15. Moura Carneiro, F.O. & Barbosa Rocha, H.H. & Costa Rocha, P.A., 2013. "Investigation of possible societal risk associated with wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 30-36.
    16. Liu, Zhiyuan & Li, Xiaojuan & Yang, Shengbing & Liang, Dong & Li, Yan, 2026. "Study on ice melting state changes and energy consumption in electrothermal anti-icing process of wind turbine blades," Renewable Energy, Elsevier, vol. 256(PI).
    17. Xu, Zhi & Zhang, Ting & Li, Xiaojuan & Li, Yan, 2023. "Effects of ambient temperature and wind speed on icing characteristics and anti-icing energy demand of a blade airfoil for wind turbine," Renewable Energy, Elsevier, vol. 217(C).
    18. Fakorede, Oloufemi & Feger, Zoé & Ibrahim, Hussein & Ilinca, Adrian & Perron, Jean & Masson, Christian, 2016. "Ice protection systems for wind turbines in cold climate: characteristics, comparisons and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 662-675.
    19. Son, Chankyu & Kelly, Mark & Kim, Taeseong, 2021. "Boundary-layer transition model for icing simulations of rotating wind turbine blades," Renewable Energy, Elsevier, vol. 167(C), pages 172-183.
    20. Zhao, Zhen-yu & Ling, Wen-jun & Zillante, George & Zuo, Jian, 2012. "Comparative assessment of performance of foreign and local wind turbine manufacturers in China," Renewable Energy, Elsevier, vol. 39(1), pages 424-432.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:256:y:2026:i:pf:s0960148125020129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.