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Blockage effect correction for a scaled wind turbine rotor by using wind tunnel test data

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  • Ryi, Jaeha
  • Rhee, Wook
  • Chang Hwang, Ui
  • Choi, Jong-Soo

Abstract

This paper discusses the procedure of a blockage effect correction method involving small-scale wind turbine rotor experimental data. To simulate the aerodynamic performance of full-scale rotors in the field, however, measured data from scaled model experiments need to be analyzed appropriately. One of the most important elements of such an analysis is a procedure to remove the blockage effect of the wind tunnel wall from the measured power data. In this paper, a correction algorithm proposed as part of Glauert's blockage effect correction method is used to process the data from a wind turbine rotor tested with three different wind tunnel sizes. Also, this study considered the modified blockage effect correction method, which has been used to process the rotor thrust data in closed-circuit wind tunnels and open-circuit wind tunnels. A small-scale rotor was tested under the same operating conditions, i.e., the same advance ratio, rotating speed, rotor torque and speed of the wind tunnel. The small-scale wind turbine rotor has a diameter of 1.408 m and a rotating speed according to the tip speed ratio. In each case, the effect of the blockage ratio and aerodynamic characteristics are determined using wind tunnel test results and with a simple analytical correction method. The results of the modified correction method show that the aerodynamic performance levels during a wind tunnel test are cleared by the blockage effect.

Suggested Citation

  • Ryi, Jaeha & Rhee, Wook & Chang Hwang, Ui & Choi, Jong-Soo, 2015. "Blockage effect correction for a scaled wind turbine rotor by using wind tunnel test data," Renewable Energy, Elsevier, vol. 79(C), pages 227-235.
    • Handle: RePEc:eee:renene:v:79:y:2015:i:c:p:227-235
    DOI: 10.1016/j.renene.2014.11.057
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    Citations

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    Cited by:

    1. Abdulaziz Abutunis & Venkata Gireesh Menta, 2022. "Comprehensive Parametric Study of Blockage Effect on the Performance of Horizontal Axis Hydrokinetic Turbines," Energies, MDPI, vol. 15(7), pages 1-22, April.
    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. Meng, Jiayao & Dai, Kaoshan & Zhao, Zhi & Mao, Zhenxi & Camara, Alfredo & Zhang, Songhan & Mei, Zhu, 2020. "Study on the aerodynamic damping for the seismic analysis of wind turbines in operation," Renewable Energy, Elsevier, vol. 159(C), pages 1224-1242.
    4. Bingzheng Dou & Zhanpei Yang & Michele Guala & Timing Qu & Liping Lei & Pan Zeng, 2020. "Comparison of Different Driving Modes for the Wind Turbine Wake in Wind Tunnels," Energies, MDPI, vol. 13(8), pages 1-17, April.
    5. Meng, Haoran & Ma, Zhe & Dou, Bingzheng & Zeng, Pan & Lei, Liping, 2020. "Investigation on the performance of a novel forward-folding rotor used in a downwind horizontal-axis turbine," Energy, Elsevier, vol. 190(C).
    6. Sarlak, H. & Nishino, T. & Martínez-Tossas, L.A. & Meneveau, C. & Sørensen, J.N., 2016. "Assessment of blockage effects on the wake characteristics and power of wind turbines," Renewable Energy, Elsevier, vol. 93(C), pages 340-352.
    7. Ross, Hannah & Polagye, Brian, 2020. "An experimental assessment of analytical blockage corrections for turbines," Renewable Energy, Elsevier, vol. 152(C), pages 1328-1341.
    8. Chu, Yung-Jeh & Lam, Heung-Fai, 2020. "Comparative study of the performances of a bio-inspired flexible-bladed wind turbine and a rigid-bladed wind turbine in centimeter-scale," Energy, Elsevier, vol. 213(C).
    9. Shahzad Ali, Qazi & Kim, Man-Hoe, 2022. "Quantifying impacts of shell augmentation on power output of airborne wind energy system at elevated heights," Energy, Elsevier, vol. 239(PA).
    10. Xie, Wei & Zeng, Pan & Lei, Liping, 2017. "Wind tunnel testing and improved blade element momentum method for umbrella-type rotor of horizontal axis wind turbine," Energy, Elsevier, vol. 119(C), pages 334-350.
    11. Abdelgalil Eltayesh & Magdy Bassily Hanna & Francesco Castellani & A.S. Huzayyin & Hesham M. El-Batsh & Massimiliano Burlando & Matteo Becchetti, 2019. "Effect of Wind Tunnel Blockage on the Performance of a Horizontal Axis Wind Turbine with Different Blade Number," Energies, MDPI, vol. 12(10), pages 1-15, May.
    12. Xie, Wei & Zeng, Pan & Lei, Liping, 2015. "Wind tunnel experiments for innovative pitch regulated blade of horizontal axis wind turbine," Energy, Elsevier, vol. 91(C), pages 1070-1080.
    13. Yao, Shulong & Griffith, D. Todd & Chetan, Mayank & Bay, Christopher J. & Damiani, Rick & Kaminski, Meghan & Loth, Eric, 2020. "A gravo-aeroelastically scaled wind turbine rotor at field-prototype scale with strict structural requirements," Renewable Energy, Elsevier, vol. 156(C), pages 535-547.
    14. He, Ruiyang & Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2022. "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    15. Xueqing Shi & Daniel (Jian) Sun & Ying Zhang & Jing Xiong & Zhonghua Zhao, 2020. "Modeling Emission Flow Pattern of a Single Cruising Vehicle on Urban Streets with CFD Simulation and Wind Tunnel Validation," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    16. MacPhee, David W. & Beyene, Asfaw, 2019. "Performance analysis of a small wind turbine equipped with flexible blades," Renewable Energy, Elsevier, vol. 132(C), pages 497-508.
    17. Huang, Chang-Chi & Bai, Chi-Jeng & Shiah, Y.C. & Chen, Yu-Jen, 2016. "Optimal design of protuberant blades for small variable-speed horizontal axis wind turbine-experiments and simulations," Energy, Elsevier, vol. 115(P1), pages 1156-1167.

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