مطالعه عددی تاثیر عملگر کنترل جریان به شیوه دمش-مکش بر ضرایب آیرودینامیکی پره توربین باد محور افقی کیلوواتی

نوع مقاله : یادداشت فنی

نویسندگان

دانشکده مهندسی مکانیک - دانشگاه تربیت مدرس

چکیده

در این پژوهش، تأثیر استفاده از عملگرهای دمشی‌مکشی[1] بر عملکرد آیرودینامیکی پره توربین بادی ان-آر-ای-ال  فاز 6[2] با حل عددی 3 بعدی مورد بررسی قرار گرفته است. برای انجام شبیه‌سازی‌ها از نرم‌افزار انسیس فلوئنت[3] استفاده شده و تحلیل‌ها بر اساس تغییرات ضریب جریان جت در شرایط مختلف سرعت باد (7، 10، 15 و 20 متر بر ثانیه) انجام پذیرفته است. نتایج حاکی از آن است که در سرعت 7 متر بر ثانیه، استفاده از عملگر دمشی‌مکشی تأثیر مطلوبی ندارد. اما با افزایش سرعت باد به 10 متر بر ثانیه، ضریب جریان جت با شدت نسبی 02/0 و 03/0 بهبود قابل ‌توجهی در عملکرد توربین ایجاد می‌کند. در سرعت 15 متر بر ثانیه، ضریب جریان 01/0 موجب افزایش 33 درصدی در عملکرد توربین می‌شود و همچنین تأخیر در بروز واماندگی دینامیکی مشاهده می‌گردد. در سرعت 20 متر بر ثانیه نیز  با ضریب جریان 03/0 افزایش 8 درصدی عملکرد مشاهده می‌شود.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Numerical Study of the Effect of the Co-Flow Jet on the Aerodynamic Coefficients of a Kilowatt Horizontal Axis Wind Turbine Blade

نویسندگان [English]

  • Fatemeh Masoudi
  • Saeed Karimian Aliabadi
Faculty of Mechanical Engineering, Tarbiat Modares University
چکیده [English]

In this study, numerical investigation is conducted on using Co-flow jets in the wind turbine blades. 3D steady simulations are performed using k-kl-ω turbulence model. Different jet flow coefficients ranging from 0.00 to 0.03 are applied at wind speeds of 7, 10, 15, and 20 m/s to evaluate the influence of suction and blowing slots located near the trailing edge of the blade. The results indicate that CFJ has negligible impact at very low wind speeds (7 m/s), but it provides substantial performance improvements at moderate to high wind speeds. At 10 m/s, CFJ coefficients of 0.02 and 0.03 enhance the net power coefficient significantly. At 15 m/s, the use of CFJ with Cμ = 0.01 results in a 33% increase in turbine performance and successfully delays the onset of dynamic stall. At 20 m/s, a further improvement of 8% is observed with Cμ = 0.03. Overall, the study demonstrates that CFJ is a highly effective technique for improving aerodynamic efficiency and power generation in kilowatt-scale wind turbines, particularly in regions with medium to strong wind conditions.

کلیدواژه‌ها [English]

  • Kilowatt wind turbine
  • Jet flow coefficient
  • Co-Flow Jet (CFJ)
  • dynamic stall
  • aerodynamic coefficients
1. Zha, G. and Carroll, B., 2005. High-Performance Airfoil Using Coflow Jet Flow Control. AIAA journal, 45 (8), DOI:10.2514/1.20926.
2. Car, D., Kuprowicz, N. J. and Estevadeordal, J., 2004. Stator diffusion enhancement using a recirculating co-flowing steady jet. ASME Turbo Expo 2004 conference (GT-2004-5386), DOI:10.1115/GT2004-53086.
3. Zha, G. and Paxton, C., 2004. A novel airfoil circulation augment flow control method using co-flow jet. Journal of Aircraft, 41 (4), pp. 926-934. https://doi.org/10.2514/6.2004-2208.
4. Zha, G., Paxton, C. D. and Conley, C. A., 2006. Effect of injection slot size on the performance of coflow jet airfoil. Journal of Aircraft, 43 (1), pp. 120-126. https://doi.org/10.2514/1.16999.
5. Mashud, M. and Hossain, F., 2010. Experimental study of flow separation control of an airfoil by suction and injection. Proceedings of the 13th Asian Congress of Fluid Mechanics.
6. Wang, B. and Zha, G., 2011. Detached-eddy simulation of a coflow jet airfoil at high angle of attack. Journal of Aircraft, 48 (4), pp. 1290-1296. https://doi.org/10.2514/1.C000282.
7. Lefebvre, A. and Zha, G., 2013. Numerical simulation of pitching airfoil performance enhancement using co-flow jet flow control. AIAA Journal, 51 (6), pp. 1343 1351. https://doi.org/10.2514/6.2013-2517.
8. Xu, H., Qiao, C. and Ye, Z., 2016. Dynamic stall control on the wind turbine airfoil via a co-flow jet. Journal of Wind Engineering and Industrial Aerodynamics, 156, pp. 44-51. https://doi.org/10.3390/en9060429.
9. Lefebvre, A., Dano, B., Bartow, W. and Fronzo, M., 2016. Performance and energy expenditure of coflow jet airfoil with variation of Mach number. AIAA Journal, 54 (8), pp. 2338-2348. https://doi.org/10.2514/1.C033113
10. Yang, Y. and Zha, G., 2017. Super lift coefficient of active flow control airfoil: What is the limit?. AIAA Journal, 55 (11), pp. 3781-3791. https://doi.org/10.2514/6.2017-1693.
11. Zhang, J., Xu, K., Yang, Y. and Ren, Y., 2018. Aircraft control surfaces using co-flow jet active flow control airfoil. Journal of Aircraft, 55 (2), pp. 482-491. https://doi.org/10.2514/6.2018-3067.
12. Yang, Y. and Zha, G., 2019. Conceptual design of a co-flow jet hybrid electric regional airliner. AIAAJournal, 57 (3), pp. 1230-1240. https://doi.org/10.2514/6.2019-1584.
13. Liu, J., Chen, R., Qiu, R. and Zhang, W., 2020. Study on dynamic stall control of rotor airfoil based on coflow jet. Aerospace Science and Technology, 96, https://doi.org/10.1155/2020/8845924.
14. Khoshnevis, A. B., Yazdani, S. and Salimipour, E., 2020. Effects of CFJ flow control on aerodynamic performance of symmetric NACA airfoils. Journal of Fluids Engineering, 142 (2). https://doi.org/10.1080/14685248.2020.1845911
15. Zhang, S., Yang, X., and Song, B., 2021. Numerical investigation of performance enhancement of the S809 airfoil and Phase VI wind turbine blade using co-flow jet technology. Renewable Energy, 163, pp. 416-428. https://doi.org/10.3390/en14216933.
16. Ma, C. Y. and Xu, H. Y., 2022. Parameter-based design and analysis of wind turbine airfoils with conformal slot co-flow jet. Journal of Fluids Engineering, 144 (2). https://doi.org/ 1115/1.4051243.
17. Hand, M., Simms, D., Fingersh, L. and Jager, D., 2001. Unsteady aerodynamics experiment phase VI: Wind tunnel test configurations and available data campaigns. National Renewable Energy Laboratory technical report, NREL/TP-500-29955.
18. Walters, D. K. and Leylek, J. H., 2004. A new model for boundary layer transition using a single point RANS approach. Journal of Turbomachinery, 126, pp. 193-202. https://doi.org/10.1115/1.1622709.
19. Ren, Y. and Xu, K., 2022. Wind turbine efficiency enhancement by coflow jet airfoil. AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-1787.
20. Lee, S. G., Park, S. J. and Lee, K. S., 2012. Performance prediction of NREL phase VI blade adopting blunt trailing edge airfoil. Renewable Energy, 44, pp. 116-123. https://doi.org/10.1016/j.energy.2012.08.007.