IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v223y2021ics036054422100325x.html
   My bibliography  Save this article

Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data

Author

Listed:
  • Bangga, Galih
  • Lutz, Thorsten

Abstract

The present paper is intended to assess the ability of the state-of-the-art computational fluid dynamics (CFD) and blade element momentum (BEM) approaches for accurate load predictions on a 2.3 MW wind turbine rotor. Three different cases are considered, a steady uniform inflow condition, a turbulent uniform inflow condition and a turbulent inflow case in combination with shear and yaw. The CFD computations employ a delayed-detached eddy simulation (DDES) approach in combination with a high order (5th) WENO method for flux discretization. The BEM calculations apply several correction factors including recently developed dynamic stall and yaw models. Furthermore, a well established procedure at IAG to set-up BEM calculations consistent to CFD will be presented and verified. The results are compared with the field experimental data of the turbine for these three different flow conditions. The studies show that both CFD and BEM results are in a very good agreement with the experimental data not only on the mean load levels but also with regards to the load fluctuations. The differences between BEM, CFD and experimental data for most radial stations are less than 10%.

Suggested Citation

  • Bangga, Galih & Lutz, Thorsten, 2021. "Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data," Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s036054422100325x
    DOI: 10.1016/j.energy.2021.120076
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422100325X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120076?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. 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.
    2. Bangga, Galih & Dessoky, Amgad & Wu, Zhenlong & Rogowski, Krzysztof & Hansen, Martin O.L., 2020. "Accuracy and consistency of CFD and engineering models for simulating vertical axis wind turbine loads," Energy, Elsevier, vol. 206(C).
    3. Bangga, Galih & Dessoky, Amgad & Lutz, Thorsten & Krämer, Ewald, 2019. "Improved double-multiple-streamtube approach for H-Darrieus vertical axis wind turbine computations," Energy, Elsevier, vol. 182(C), pages 673-688.
    4. Daniel Micallef & Tonio Sant, 2016. "A Review of Wind Turbine Yaw Aerodynamics," Chapters, in: Abdel Ghani Aissaoui & Ahmed Tahour (ed.), Wind Turbines - Design, Control and Applications, IntechOpen.
    5. Kim, Yusik & Madsen, Helge Aa & Aparicio-Sanchez, Maria & Pirrung, Georg & Lutz, Thorsten, 2020. "Assessment of blade element momentum codes under varying turbulence levels by comparing with blade resolved computational fluid dynamics," Renewable Energy, Elsevier, vol. 160(C), pages 788-802.
    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. Asmuth, Henrik & Navarro Diaz, Gonzalo P. & Madsen, Helge Aagaard & Branlard, Emmanuel & Meyer Forsting, Alexander R. & Nilsson, Karl & Jonkman, Jason & Ivanell, Stefan, 2022. "Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements," Renewable Energy, Elsevier, vol. 191(C), pages 868-887.
    2. Wang, Xiangjun & Jiang, Lifeng & Amjad, Ali & Yang, Hua & Yang, Junwei, 2024. "Experimental investigation on Aeroelastic response of long flexible blades in turbulent flow," Applied Energy, Elsevier, vol. 375(C).
    3. Galih Bangga & Steven Parkinson & William Collier, 2023. "Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils," Energies, MDPI, vol. 16(10), pages 1-25, May.
    4. Yan, Chang & Xu, Shengfeng & Sun, Zhenxu & Lutz, Thorsten & Guo, Dilong & Yang, Guowei, 2024. "A framework of data assimilation for wind flow fields by physics-informed neural networks," Applied Energy, Elsevier, vol. 371(C).
    5. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    6. Gao, Xiaoxia & Zhou, Kuncheng & Liu, Runze & Ma, Wanli & Gong, Xiaoyu & Zhu, Xiaoxun & Wang, Yu & Zhao, Fei, 2024. "Aerodynamic characteristics of wind turbines considering the inhomogeneity and periodic incentive of wake effects," Energy, Elsevier, vol. 310(C).
    7. Nie, Wen & Jiang, Chenwang & Liu, Qiang & Guo, Lidian & Hua, Yun & Zhang, Haonan & Jiang, Bingyou & Zhu, Zilian, 2024. "Study of highly efficient control and dust removal system for double-tunnel boring processes in coal mines," Energy, Elsevier, vol. 289(C).
    8. Li, Juan & Wang, Yinan & Lin, Shuyue & Zhao, Xiaowei, 2022. "Nonlinear modelling and adaptive control of smart rotor wind turbines," Renewable Energy, Elsevier, vol. 186(C), pages 677-690.
    9. Martin Geibel & Galih Bangga, 2022. "Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches," Energies, MDPI, vol. 15(10), pages 1-40, May.
    10. 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.
    11. Nie, Wen & Jiang, Chenwang & Sun, Ning & Guo, Lidian & Xue, Qianqian & Liu, Qiang & Liu, Chengyi & Cha, Xingpeng & Yi, Shixing, 2023. "Analysis of multi-factor ventilation parameters for reducing energy air pollution in coal mines," Energy, Elsevier, vol. 278(PA).
    12. 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.

    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. Shubham, Shubham & Naik, Kevin & Sachar, Shivangi & Ianakiev, Anton, 2023. "Performance analysis of low Reynolds number vertical axis wind turbines using low-fidelity and mid-fidelity methods and wind conditions in the city of Nottingham," Energy, Elsevier, vol. 279(C).
    2. Yang, Mao & Wang, Da & Xu, Chuanyu & Dai, Bozhi & Ma, Miaomiao & Su, Xin, 2023. "Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting," Renewable Energy, Elsevier, vol. 211(C), pages 582-594.
    3. Zhou, Yang & Xiao, Qing & Liu, Yuanchuan & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng & Pan, Guang & Li, Sunwei, 2022. "Exploring inflow wind condition on floating offshore wind turbine aerodynamic characterisation and platform motion prediction using blade resolved CFD simulation," Renewable Energy, Elsevier, vol. 182(C), pages 1060-1079.
    4. Meana-Fernández, Andrés & Solís-Gallego, Irene & Fernández Oro, Jesús Manuel & Argüelles Díaz, Katia María & Velarde-Suárez, Sandra, 2018. "Parametrical evaluation of the aerodynamic performance of vertical axis wind turbines for the proposal of optimized designs," Energy, Elsevier, vol. 147(C), pages 504-517.
    5. Liu, Jian & Zhu, Wenqing & Xiao, Zhixiang & Sun, Haisheng & Huang, Yong & Liu, Zhitao, 2018. "DDES with adaptive coefficient for stalled flows past a wind turbine airfoil," Energy, Elsevier, vol. 161(C), pages 846-858.
    6. Bhavsar, Het & Roy, Sukanta & Niyas, Hakeem, 2023. "Aerodynamic performance enhancement of the DU99W405 airfoil for horizontal axis wind turbines using slotted airfoil configuration," Energy, Elsevier, vol. 263(PA).
    7. Ebrahimi, Abbas & Movahhedi, Mohammadreza, 2018. "Wind turbine power improvement utilizing passive flow control with microtab," Energy, Elsevier, vol. 150(C), pages 575-582.
    8. Deng, Wanru & Liu, Liqin & Dai, Yuanjun & Wu, Haitao & Yuan, Zhiming, 2024. "A prediction method for blade deformations of large-scale FVAWTs using dynamics theory and machine learning techniques," Energy, Elsevier, vol. 304(C).
    9. Silva, Paulo A.S.F. & Tsoutsanis, Panagiotis & Vaz, Jerson R.P. & Macias, Marianela M., 2024. "A comprehensive CFD investigation of tip vortex trajectory in shrouded wind turbines using compressible RANS solver," Energy, Elsevier, vol. 294(C).
    10. Alom, Nur & Saha, Ujjwal K., 2018. "Performance evaluation of vent-augmented elliptical-bladed savonius rotors by numerical simulation and wind tunnel experiments," Energy, Elsevier, vol. 152(C), pages 277-290.
    11. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Hiromori, Yuto, 2018. "Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement," Applied Energy, Elsevier, vol. 225(C), pages 1190-1204.
    12. Regodeseves, P. García & Morros, C. Santolaria, 2020. "Unsteady numerical investigation of the full geometry of a horizontal axis wind turbine: Flow through the rotor and wake," Energy, Elsevier, vol. 202(C).
    13. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    14. Cui, Wenyao & Xiao, Zhixiang & Yuan, Xiangjiang, 2020. "Simulations of transition and separation past a wind-turbine airfoil near stall," Energy, Elsevier, vol. 205(C).
    15. Daniel Micallef & Gerard Van Bussel, 2018. "A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges," Energies, MDPI, vol. 11(9), pages 1-27, August.
    16. Li, Jian & Liu, Ranhui & Yuan, Peng & Pei, Yanli & Cao, Renjing & Wang, Gang, 2020. "Numerical simulation and application of noise for high-power wind turbines with double blades based on large eddy simulation model," Renewable Energy, Elsevier, vol. 146(C), pages 1682-1690.
    17. Jiang, Yichen & Liu, Shijie & Zao, Peidong & Yu, Yanwei & Zou, Li & Liu, Liqin & Li, Jiawen, 2022. "Experimental evaluation of a tree-shaped quad-rotor wind turbine on power output controllability and survival shutdown capability," Applied Energy, Elsevier, vol. 309(C).
    18. 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.
    19. Dou, Bingzheng & Guala, Michele & Lei, Liping & Zeng, Pan, 2019. "Wake model for horizontal-axis wind and hydrokinetic turbines in yawed conditions," Applied Energy, Elsevier, vol. 242(C), pages 1383-1395.
    20. Fan, Shuanglong & Liu, Zhenqing, 2023. "Proposal of fully-coupled actuated disk model for wind turbine operation modeling in turbulent flow field due to complex topography," Energy, Elsevier, vol. 284(C).

    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:energy:v:223:y:2021:i:c:s036054422100325x. 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/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.