IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v79y2017icp638-645.html
   My bibliography  Save this article

Progress on ultrasonic guided waves de-icing techniques in improving aviation energy efficiency

Author

Listed:
  • Wang, Yibing
  • Xu, Yuanming
  • Huang, Qi

Abstract

Aircraft icing, in particular in-flight icing, poses serious threat to flight safety. Similarly, icing on blades of wind turbines is harmful to wind power systems as well. Therefore, the development of de-icing techniques has attracted significant attention in both Aeronautics and Wind Energy fields. Ultrasonic guided wave (UGW) de-icing technology, one of the mechanical de-icing technologies, features its light weight, low cost, drastic reduction in energy consumption, as well as its easy replacement and maintenance. Recent developments related to UGW de-icing technologies were summarized in this review, including latest studies on ultrasonic wave de-icing theory, advances in piezoelectric materials and transducers, and novel devices designed for de-icing systems. Some instructive experimental researches on ultrasonic de-icing method were introduced as well. Moreover, in particular, study on energy efficiency of ultrasonic de-icing method was introduced. Finally, some noteworthy problems, such as miniaturized transducers design, new type of the de-icing system design, and UGW de-icing mechanisms and its energy efficiency, were proposed for future investigation.

Suggested Citation

  • Wang, Yibing & Xu, Yuanming & Huang, Qi, 2017. "Progress on ultrasonic guided waves de-icing techniques in improving aviation energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 638-645.
    • Handle: RePEc:eee:rensus:v:79:y:2017:i:c:p:638-645
    DOI: 10.1016/j.rser.2017.05.129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032117307530
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2017.05.129?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Zhenjun & Xu, Yuanming & Gu, Yuting, 2015. "A light lithium niobate transducer design and ultrasonic de-icing research for aircraft wing," Energy, Elsevier, vol. 87(C), pages 173-181.
    2. Dombi, Mihály & Kuti, István & Balogh, Péter, 2014. "Sustainability assessment of renewable power and heat generation technologies," Energy Policy, Elsevier, vol. 67(C), pages 264-271.
    3. Habibi, Hossein & Cheng, Liang & Zheng, Haitao & Kappatos, Vassilios & Selcuk, Cem & Gan, Tat-Hean, 2015. "A dual de-icing system for wind turbine blades combining high-power ultrasonic guided waves and low-frequency forced vibrations," Renewable Energy, Elsevier, vol. 83(C), pages 859-870.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Yibing & Xu, Yuanming & Lei, Yuyong, 2018. "An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades," Renewable Energy, Elsevier, vol. 118(C), pages 1015-1023.
    2. Carroll, James & Brazil, William & Howard, Michael & Denny, Eleanor, 2022. "Imperfect emissions information during flight choices and the role of CO2 labelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    3. 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.
    4. Valery Okulov & Ivan Kabardin & Dmitry Mukhin & Konstantin Stepanov & Nastasia Okulova, 2021. "Physical De-Icing Techniques for Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-16, October.

    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. Wang, Yibing & Xu, Yuanming & Lei, Yuyong, 2018. "An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades," Renewable Energy, Elsevier, vol. 118(C), pages 1015-1023.
    2. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.
    3. Fouladvand, Javanshir & Aranguren Rojas, Maria & Hoppe, Thomas & Ghorbani, Amineh, 2022. "Simulating thermal energy community formation: Institutional enablers outplaying technological choice," Applied Energy, Elsevier, vol. 306(PA).
    4. Madi, Ezieddin & Pope, Kevin & Huang, Weimin & Iqbal, Tariq, 2019. "A review of integrating ice detection and mitigation for wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 269-281.
    5. Manel Kamoun & Ines Abdelkafi & Abdelfetah Ghorbel, 2019. "The Impact of Renewable Energy on Sustainable Growth: Evidence from a Panel of OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 221-237, March.
    6. Chenjun Sun & Zengqiang Mi & Hui Ren & Zhipeng Jing & Jinling Lu & David Watts, 2019. "Multi-Dimensional Indexes for the Sustainability Evaluation of an Active Distribution Network," Energies, MDPI, vol. 12(3), pages 1-24, January.
    7. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    8. Sun, Shilin & Wang, Tianyang & Chu, Fulei, 2022. "In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    9. Berjawi, A.E.H. & Walker, S.L. & Patsios, C. & Hosseini, S.H.R., 2021. "An evaluation framework for future integrated energy systems: A whole energy systems approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    10. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    11. Chen, Bin & Yu, Songhao & Yu, Yang & Zhou, Yilin, 2020. "Acoustical damage detection of wind turbine blade using the improved incremental support vector data description," Renewable Energy, Elsevier, vol. 156(C), pages 548-557.
    12. 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.
    13. Kazagic, Anes & Merzic, Ajla & Redzic, Elma & Tresnjo, Dino, 2019. "Optimization of modular district heating solution based on CHP and RES - Demonstration case of the Municipality of Visoko," Energy, Elsevier, vol. 181(C), pages 56-65.
    14. Dong, Xinghui & Gao, Di & Li, Jia & Jincao, Zhang & Zheng, Kai, 2020. "Blades icing identification model of wind turbines based on SCADA data," Renewable Energy, Elsevier, vol. 162(C), pages 575-586.
    15. Kumar, Deepak & Katoch, S.S., 2014. "Sustainability indicators for run of the river (RoR) hydropower projects in hydro rich regions of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 101-108.
    16. Wang, Zhenjun & Gu, Simin, 2018. "State-of-the-art on the development of ultrasonic equipment and key problems of ultrasonic oil prudction technique for EOR in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2401-2407.
    17. Colla, Martin & Ioannou, Anastasia & Falcone, Gioia, 2020. "Critical review of competitiveness indicators for energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    18. Moslehi, Salim & Reddy, T. Agami, 2019. "A new quantitative life cycle sustainability assessment framework: Application to integrated energy systems," Applied Energy, Elsevier, vol. 239(C), pages 482-493.
    19. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    20. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.

    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:rensus:v:79:y:2017:i:c:p:638-645. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.