IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i6p1734-1740.html
   My bibliography  Save this article

An extension of BEM method applied to horizontal-axis wind turbine design

Author

Listed:
  • Vaz, Jerson Rogério Pinheiro
  • Pinho, João Tavares
  • Mesquita, André Luiz Amarante

Abstract

A mathematical model is presented in this work, based on the Blade Element Momentum (BEM) theory for the horizontal-axis wind turbine design, taking into account the influence of the wake on the rotor plane in the general form. This influence is considered when the tip-speed-ratio is small, justifying the development of formulations that predict the effects of the wake on the rotor plane. The proposed mathematical model in this work is an extension of the BEM method, using the Glauert’s model modified for the wind turbine design.

Suggested Citation

  • Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:6:p:1734-1740
    DOI: 10.1016/j.renene.2010.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148110005318
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2010.11.018?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. Lanzafame, R. & Messina, M., 2007. "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renewable Energy, Elsevier, vol. 32(14), pages 2291-2305.
    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. Chuhua Jiang & Xuedao Shu & Junhua Chen & Lingjie Bao & Yawen Xu, 2021. "Research on Blade Design of Lift–Drag-Composite Tidal-Energy Turbine at Low Flow Velocity," Energies, MDPI, vol. 14(14), pages 1-16, July.
    2. Peng, Chao & Zou, Jianxiao & Li, Yan & Xu, Hongbing & Li, Liying, 2017. "A novel composite calculation model for power coefficient and flapping moment coefficient of wind turbine," Energy, Elsevier, vol. 126(C), pages 821-829.
    3. Dong, Yongjun & Guo, Jingfu & Chen, Jianmei & Sun, Chao & Zhu, Wanqiang & Chen, Liwei & Zhang, Xueming, 2021. "Development of a 300 kW horizontal-axis tidal stream energy conversion system with adaptive variable-pitch turbine and direct-drive PMSG," Energy, Elsevier, vol. 226(C).
    4. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    5. Sedaghat, Ahmad & El Haj Assad, M. & Gaith, Mohamed, 2014. "Aerodynamics performance of continuously variable speed horizontal axis wind turbine with optimal blades," Energy, Elsevier, vol. 77(C), pages 752-759.
    6. Tavares Dias do Rio Vaz, Déborah Aline & Vaz, Jerson Rogério Pinheiro & Mesquita, André Luiz Amarante & Pinho, João Tavares & Pinho Brasil Junior, Antonio Cesar, 2013. "Optimum aerodynamic design for wind turbine blade with a Rankine vortex wake," Renewable Energy, Elsevier, vol. 55(C), pages 296-304.
    7. Kyoungboo Yang, 2020. "Geometry Design Optimization of a Wind Turbine Blade Considering Effects on Aerodynamic Performance by Linearization," Energies, MDPI, vol. 13(9), pages 1-18, May.
    8. Alkhabbaz, Ali & Yang, Ho-Seong & Weerakoon, A.H Samitha & Lee, Young-Ho, 2021. "A novel linearization approach of chord and twist angle distribution for 10 kW horizontal axis wind turbine," Renewable Energy, Elsevier, vol. 178(C), pages 1398-1420.
    9. Wang, Qiang & Yi, Xian & Liu, Yu & Ren, Jinghao & Li, Weihao & Wang, Qiao & Lai, Qingren, 2020. "Simulation and analysis of wind turbine ice accretion under yaw condition via an Improved Multi-Shot Icing Computational Model," Renewable Energy, Elsevier, vol. 162(C), pages 1854-1873.
    10. Hcini, Cherif & Abidi, Essia & Kamoun, Badreddine & Afungchui, David, 2016. "Numerical prediction for the aerodynamic performance of Turbosail type wind turbine using a vortex model," Energy, Elsevier, vol. 109(C), pages 287-293.
    11. Pinto, Ricardo Luiz Utsch de Freitas & Gonçalves, Bruna Patrícia Furtado, 2017. "A revised theoretical analysis of aerodynamic optimization of horizontal-axis wind turbines based on BEM theory," Renewable Energy, Elsevier, vol. 105(C), pages 625-636.
    12. Anurag Rajan & Fernando L. Ponta, 2019. "A Novel Correlation Model for Horizontal Axis Wind Turbines Operating at High-Interference Flow Regimes," Energies, MDPI, vol. 12(6), pages 1-20, March.
    13. Wenyan Li & Yuxuan Xiong & Guoliang Su & Zuyang Ye & Guowu Wang & Zhao Chen, 2023. "The Aerodynamic Performance of Horizontal Axis Wind Turbines under Rotation Condition," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    14. Silva, Paulo Augusto Strobel Freitas & Shinomiya, Léo Daiki & de Oliveira, Taygoara Felamingo & Vaz, Jerson Rogério Pinheiro & Amarante Mesquita, André Luiz & Brasil Junior, Antonio Cesar Pinho, 2017. "Analysis of cavitation for the optimized design of hydrokinetic turbines using BEM," Applied Energy, Elsevier, vol. 185(P2), pages 1281-1291.
    15. Lanzafame, R. & Messina, M., 2013. "Advanced brake state model and aerodynamic post-stall model for horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 415-420.
    16. Wen, Jiahao & Zhou, Lei & Zhang, Hongfu, 2023. "Mode interpretation of blade number effects on wake dynamics of small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 263(PA).
    17. Hércules Araújo Oliveira & José Gomes de Matos & Luiz Antonio de Souza Ribeiro & Osvaldo Ronald Saavedra & Jerson Rogério Pinheiro Vaz, 2023. "Assessment of Correction Methods Applied to BEMT for Predicting Performance of Horizontal-Axis Wind Turbines," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    18. Xu, Quan-kun & Liu, Hong-wei & Lin, Yong-gang & Yin, Xiu-xing & Li, Wei & Gu, Ya-jing, 2015. "Development and experiment of a 60 kW horizontal-axis marine current power system," Energy, Elsevier, vol. 88(C), pages 149-156.
    19. Venkaiah, P. & Sarkar, Bikash K., 2020. "Hydraulically actuated horizontal axis wind turbine pitch control by model free adaptive controller," Renewable Energy, Elsevier, vol. 147(P1), pages 55-68.
    20. Bai, Chi-Jeng & Wang, Wei-Cheng, 2016. "Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 506-519.
    21. Ponta, Fernando L. & Otero, Alejandro D. & Lago, Lucas I. & Rajan, Anurag, 2016. "Effects of rotor deformation in wind-turbine performance: The Dynamic Rotor Deformation Blade Element Momentum model (DRD–BEM)," Renewable Energy, Elsevier, vol. 92(C), pages 157-170.
    22. Sun, ZhaoCheng & Li, Dong & Mao, YuFeng & Feng, Long & Zhang, Yue & Liu, Chao, 2022. "Anti-cavitation optimal design and experimental research on tidal turbines based on improved inverse BEM," Energy, Elsevier, vol. 239(PD).

    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. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
    2. Li, B. & Zhou, D.L. & Wang, Y. & Shuai, Y. & Liu, Q.Z. & Cai, W.H., 2020. "The design of a small lab-scale wind turbine model with high performance similarity to its utility-scale prototype," Renewable Energy, Elsevier, vol. 149(C), pages 435-444.
    3. Ikeda, Teruaki & Tanaka, Hiroto & Yoshimura, Ryosuke & Noda, Ryusuke & Fujii, Takeo & Liu, Hao, 2018. "A robust biomimetic blade design for micro wind turbines," Renewable Energy, Elsevier, vol. 125(C), pages 155-165.
    4. Imraan, Mustahib & Sharma, Rajnish N. & Flay, Richard G.J., 2013. "Wind tunnel testing of a wind turbine with telescopic blades: The influence of blade extension," Energy, Elsevier, vol. 53(C), pages 22-32.
    5. Shen, Xin & Chen, Jin-Ge & Zhu, Xiao-Cheng & Liu, Peng-Yin & Du, Zhao-Hui, 2015. "Multi-objective optimization of wind turbine blades using lifting surface method," Energy, Elsevier, vol. 90(P1), pages 1111-1121.
    6. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    7. Dallatu Abbas Umar & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Ammar Ahmed Alkahtani & Talal Yusaf, 2022. "Design and Optimization of a Small-Scale Horizontal Axis Wind Turbine Blade for Energy Harvesting at Low Wind Profile Areas," Energies, MDPI, vol. 15(9), pages 1-22, April.
    8. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
    9. Dai, J.C. & Hu, Y.P. & Liu, D.S. & Long, X., 2011. "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model," Renewable Energy, Elsevier, vol. 36(3), pages 1095-1104.
    10. Dai, Juchuan & Li, Mimi & Chen, Huanguo & He, Tao & Zhang, Fan, 2022. "Progress and challenges on blade load research of large-scale wind turbines," Renewable Energy, Elsevier, vol. 196(C), pages 482-496.
    11. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
    12. Pan He & Jian Xia, 2022. "Study on the Influence of Low-Level Jet on the Aerodynamic Characteristics of Horizontal Axis Wind Turbine Rotor Based on the Aerodynamics–Controller Interaction Method," Energies, MDPI, vol. 15(8), pages 1-18, April.
    13. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    14. Chi-Jeng Bai & Wei-Cheng Wang & Po-Wei Chen & Wen-Tong Chong, 2014. "System Integration of the Horizontal-Axis Wind Turbine: The Design of Turbine Blades with an Axial-Flux Permanent Magnet Generator," Energies, MDPI, vol. 7(11), pages 1-21, November.
    15. Tavares Dias do Rio Vaz, Déborah Aline & Vaz, Jerson Rogério Pinheiro & Mesquita, André Luiz Amarante & Pinho, João Tavares & Pinho Brasil Junior, Antonio Cesar, 2013. "Optimum aerodynamic design for wind turbine blade with a Rankine vortex wake," Renewable Energy, Elsevier, vol. 55(C), pages 296-304.
    16. Rajakumar, S. & Ravindran, D., 2012. "Iterative approach for optimising coefficient of power, coefficient of lift and drag of wind turbine rotor," Renewable Energy, Elsevier, vol. 38(1), pages 83-93.
    17. Han, Xingxing & Liu, Deyou & Xu, Chang & Shen, Wen Zhong, 2020. "Similarity functions and a new k−ε closure for predicting stratified atmospheric surface layer flows in complex terrain," Renewable Energy, Elsevier, vol. 150(C), pages 907-917.
    18. Du, Weikang & Zhao, Yongsheng & He, Yanping & Liu, Yadong, 2016. "Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines," Renewable Energy, Elsevier, vol. 97(C), pages 414-421.
    19. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part I: Aeroelastic behaviour," Energy, Elsevier, vol. 73(C), pages 15-24.
    20. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.

    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:36:y:2011:i:6:p:1734-1740. 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.