Skip to main content
SpringerLink
Log in

Numerical simulation of Savonius type wind turbine installed on the highway

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

Considering the vehicle traffic and the length of highways and freeways, the volume of air moved through the movement of cars can be used to supply the required air flow to run a wind turbine installed in the middle of highways. The Savunius-type wind turbines are good tools in such conditions. A horizontal axis, semi-circular Savunius wind turbine installed in the New Jerseys on highways is studied numerically in this research. The turbulent wind flow enters the turbine chamber through the ducts created inside the New Jersey and after transferring its energy to the turbine blades, it exits from the other side of New Jersey. Guide vanes in the inlet duct create uniform wind flow while tilted vanes in the outlet duct reduce the effects of back pressure at the outlet. Turbines with three, four, and five blades at different blade tip speeds are simulated by Ansys-Fluent both two and three-dimensionally in transient conditions. For a better comparison, the torque of each turbine in one cycle of the simulation period is recorded and the average torque of each turbine is compared with each other. The results are presented in the form of pressure and velocity contours, streamlines, torque and output power. The results reveal that for such wind turbines confined in the New Jersey the 2D model can be properly applied to the solution domain while a four-blade turbine with a tip speed ratio of 5 presents the best output power and torque.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

Abbreviations

\({C}_{p}=\frac{p}{\frac{1}{2}\rho {V}_{wind}^{2}}\) :

Pressure coefficient

k :

Turbulence kinematic energy

p:

Pressure (Pa)

P:

Power (W)

Re:

Reynolds number

T:

Torque (N m)

\({\mathrm{u}}_{\mathrm{i}}\) :

Velocity field (m/s)

\({\mathrm{x}}_{\mathrm{i}}\) :

Axis in Cartesian coordinates

ρ:

Density

\(\upomega \) :

Specific dissipation rate

References

  1. Ovgor B, Lee S-K, Lee S (2012) A method of micrositing of wind turbine on building roof-top by using joint distribution of wind speed and direction, and computational fluid dynamics. J Mech Sci Technol 26(12):3981–3988. https://doi.org/10.1007/s12206-012-0897-2

    Article  Google Scholar 

  2. Jeong J-H, Kim S-H (2018) CFD investigation on the flatback airfoil effect of 10 MW wind turbine blade. J Mech Sci Technol 32(5):2089–2097. https://doi.org/10.1007/s12206-018-0418-z

    Article  Google Scholar 

  3. Yadav A, Pillai SR, Vashishtha VK, Kumar A (2022) Feasibility study of vertical axis wind turbine on UAE highways. Mater Today Proc 64:1392–1397. https://doi.org/10.1016/j.matpr.2022.04.523

    Article  Google Scholar 

  4. Guo Z, Liu T, Xu K, Wang J, Li W, Chen Z (2020) Parametric analysis and optimization of a simple wind turbine in high speed railway tunnels. Renew Energy 161:825–835. https://doi.org/10.1016/j.renene.2020.07.099

    Article  Google Scholar 

  5. Toudarbari S, Maghrebi MJ, Hashemzadeh A (2021) Evaluation of Darrieus wind turbine for different highway settings using CFD simulation. Sustain Energy Technol Assess 45:101077. https://doi.org/10.1016/j.seta.2021.101077

    Article  Google Scholar 

  6. Cruz LEB, Carmo BS (2020) Wind farm layout optimization based on CFD simulations. J Braz Soc Mech Sci Eng 42(8):433. https://doi.org/10.1007/s40430-020-02506-z

    Article  Google Scholar 

  7. de Andrade AR, Melo VFMB, Lucena DB, Abrahão R (2021) Wind speed trends and the potential of electricity generation at new wind power plants in Northeast Brazil. J Braz Soc Mech Sci Eng 43(4):182. https://doi.org/10.1007/s40430-021-02911-y

    Article  Google Scholar 

  8. Kim HH, Oh Y, Yoo HH (2020) Simple vibration model for the design of a vertical axis wind turbine. J Mech Sci Technol 34(2):511–520. https://doi.org/10.1007/s12206-020-0101-z

    Article  Google Scholar 

  9. Liang C, Li H (2018) Effects of optimized airfoil on vertical axis wind turbine aerodynamic performance. J Braz Soc Mech Sci Eng 40(2):88. https://doi.org/10.1007/s40430-017-0926-2

    Article  Google Scholar 

  10. Karimian S, Rasekh S (2021) Power and noise performance assessment of a variable pitch vertical axis darrieus type wind turbine. J Braz Soc Mech Sci Eng 43(9):437. https://doi.org/10.1007/s40430-021-03103-4

    Article  Google Scholar 

  11. Mazarbhuiya HMSM, Biswas A, Sharma KK (2020) Low wind speed aerodynamics of asymmetric blade H-Darrieus wind turbine-its desired blade pitch for performance improvement in the built environment. J Braz Soc Mech Sci Eng 42(6):326. https://doi.org/10.1007/s40430-020-02408-0

    Article  Google Scholar 

  12. Lee S, Lee S, Ryi J, Choi J-S (2013) Design optimization of wind turbine blades for reduction of airfoil self-noise. J Mech Sci Technol 27(2):413–420. https://doi.org/10.1007/s12206-012-1254-1

    Article  Google Scholar 

  13. Rogowski K (2018) Numerical studies on two turbulence models and a laminar model for aerodynamics of a vertical-axis wind turbine. J Mech Sci Technol 32(5):2079–2088. https://doi.org/10.1007/s12206-018-0417-0

    Article  Google Scholar 

  14. Roh S-C, Kang S-H (2013) Effects of a blade profile, the Reynolds number, and the solidity on the performance of a straight bladed vertical axis wind turbine. J Mech Sci Technol 27(11):3299–3307. https://doi.org/10.1007/s12206-013-0852-x

    Article  Google Scholar 

  15. Sharma P, Gupta B, Pandey M, Sharma AK, Nareliya Mishra R (2021) Recent advancements in optimization methods for wind turbine airfoil design: a review. Mater Today Proc 47:6556–6563. https://doi.org/10.1016/j.matpr.2021.02.231

    Article  Google Scholar 

  16. Tahani M, Rabbani A, Kasaeian A, Mehrpooya M, Mirhosseini M (2017) Design and numerical investigation of Savonius wind turbine with discharge flow directing capability. Energy 130:327–338. https://doi.org/10.1016/j.energy.2017.04.125

    Article  Google Scholar 

  17. Wenehenubun F, Saputra A, Sutanto H (2015) An experimental study on the performance of Savonius wind turbines related with the number of blades. Energy Procedia 68:297–304

    Article  Google Scholar 

  18. Al-Faruk A, Sharifian A (2016) Geometrical optimization of a swirling Savonius wind turbine using an open jet wind tunnel. Alex Eng J 55(3):2055–2064

    Article  Google Scholar 

  19. Bouzaher MT (2022) Effect of flexible blades on the Savonius wind turbine performance. J Braz Soc Mech Sci Eng 44(2):60. https://doi.org/10.1007/s40430-022-03374-5

    Article  Google Scholar 

  20. Layeghmand K, Ghiasi Tabari N, Zarkesh M (2020) Improving efficiency of Savonius wind turbine by means of an airfoil-shaped deflector. J Braz Soc Mech Sci Eng 42(10):528. https://doi.org/10.1007/s40430-020-02598-7

    Article  Google Scholar 

  21. Fatahian H, Hosseini E, Eshagh Nimvari M, Fatahian R, Fallah Jouybari N, Fatahian E (2022) Performance enhancement of Savonius wind turbine using a nanofiber-based deflector. J Braz Soc Mech Sci Eng 44(3):98. https://doi.org/10.1007/s40430-022-03407-z

    Article  Google Scholar 

  22. Chan CM, Bai HL, He DQ (2018) Blade shape optimization of the Savonius wind turbine using a genetic algorithm. Appl Energy 213:148–157. https://doi.org/10.1016/j.apenergy.2018.01.029

    Article  Google Scholar 

  23. Tian W, Song B, VanZwieten JH, Pyakurel P (2015) Computational fluid dynamics prediction of a modified Savonius wind turbine with novel blade shapes. Energies 8(8):7915–7929

    Article  Google Scholar 

  24. Tian W, Mao Z, An X, Zhang B, Wen H (2017) Numerical study of energy recovery from the wakes of moving vehicles on highways by using a vertical axis wind turbine. Energy 141:715–728. https://doi.org/10.1016/j.energy.2017.07.172

    Article  Google Scholar 

  25. Promdee C, Photong C (2016) Effects of wind angles and wind speeds on voltage generation of savonius wind turbine with double wind tunnels. Procedia Comput Sci 86:401–404

    Article  Google Scholar 

  26. Nam Y, Yoo N, Lee J (2004) Site calibration for the wind turbine performance evaluation. KSME Int J 18(12):2250–2257. https://doi.org/10.1007/BF02990229

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Payame Noor University (PNU), P.O.B. 19395-3697, Tehran, Iran

    Naghmeh Jamshidi & Sadegh Moharrami

Authors
  1. Naghmeh Jamshidi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sadegh Moharrami
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Naghmeh Jamshidi.

Additional information

Technical Editor: Daniel Onofre de Almeida Cruz.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jamshidi, N., Moharrami, S. Numerical simulation of Savonius type wind turbine installed on the highway. J Braz. Soc. Mech. Sci. Eng. 45, 434 (2023). https://doi.org/10.1007/s40430-023-04351-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-023-04351-2

Keywords

Search

Navigation