Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.

Year : 2024 | Volume :11 | Issue : 03 | Page : –
By

Akshansh Yadav,

Piotr Prusinski,

Gangesh Singhal,

  1. Research Scholar Department of Aerospace, Indian Institute of Technology Kanpur, Uttar Pradesh India
  2. Research Scholar Department of Energy, Warsaw University of Technology Warsaw Poland
  3. Research Scholar Department of Energy and Power System, University Liverpool Liverpool England

Abstract

The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to the large scale and low energy density of these plants.
This study proposes an innovative solution that advances current approaches by relying on renewable energy, operating independently of weather conditions, being compact and portable, and reducing emissions in real-time by conserving fuel or recharging batteries. This makes it applicable to both electric and fossil-fueled vehicles. The proof-of-concept design features a standard diesel bus equipped with a rooftop turbine box that harnesses wind energy generated during motion, converting it into electrical power. The scaled-down turbine design produces an average net power of 4.8 kW during bus journeys, sufficient to power bus accessories or charge the battery.
The study includes computational fluid dynamics (CFD) analysis and the preparation of a 3D model, which was tested in a wind tunnel. The design of inflow guide vanes, turbine blade shape and size, and turbine performance at various inflow velocities and azimuthal positions were investigated, providing practical insights. The wind tunnel study was conducted at the National Wind Tunnel Facility (NWTF), which features a return circuit, continuous closed jet, and atmospheric conditions with interchangeable test sections measuring 3 m × 2.25 m in cross-section and 8.75 m in total length. The wind tunnel achieves a maximum speed of 80 m/s, with a Reynolds number of 5×10^6/m and turbulence below 0.1%. It is equipped with specialized instrumentation, including a 4.64 m diameter, 12-bladed fan powered by a 1000 kW variable-speed DC motor, and a virtual instrumentation-based data acquisition system.

The NWTF’s primary advantage is its turntable, allowing simulation of wind incidence angles from 0° to 360° in a single test run. Six configurations were evaluated: full-scale device, full-scale device with mesh, full-scale device with fins, scaled bus model, scaled device alone, and scaled device mounted on the bus. Wind tunnel tests were conducted at speeds ranging from 5 to 30 m/s. Experimental results confirmed model stability and the absence of significant vibrations or oscillations during testing.

Findings provide insights into the forces, RPM, and stability of the turbine model under various wind conditions, enhancing understanding of aerodynamic behavior and supporting design optimization for automotive structures. This research showcases the versatility and efficacy of the NWTF in aerodynamic testing.

Keywords: Vertical Axis Wind Turbine., Wind Tunnel., Turbulence Model, Mesh Convergence Study, Azimuthal Angles

[This article belongs to Journal of Automobile Engineering and Applications(joaea)]

How to cite this article: Akshansh Yadav, Piotr Prusinski, Gangesh Singhal. Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.. Journal of Automobile Engineering and Applications. 2024; 11(03):-.
How to cite this URL: Akshansh Yadav, Piotr Prusinski, Gangesh Singhal. Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.. Journal of Automobile Engineering and Applications. 2024; 11(03):-. Available from: https://journals.stmjournals.com/joaea/article=2024/view=170147



Browse Figures

References

  1. Al-Sharify T, Alanssari AI, Al-Sharify MT, Ali IR. Theoretical physics to improve radio frequency in 5 generation. InIOP Conference Series: Materials Science and Engineering 2020 Jun 1 (Vol. 870, No. 1, p. 012021). IOP Publishing.
  2. Garcia-Ribeiro D, Bravo-Mosquera PD, Ayala-Zuluaga JA, Martinez-Castañeda DF, Valbuena-Aguilera JS, Cerón-Muñoz HD, Vaca-Rios JJ. Drag reduction of a commercial bus with add-on aerodynamic devices. Proc Inst Mech Eng Part D J Automob Eng. 2023 Jun;237(7):1623-36.
  3. Hussain MZ, Anbalagan R, Jayabalakrishnan D, Muruga DN, Prabhahar M, Bhaskar K, Sendilvelan S. Charging of car battery in electric vehicle by using wind energy. Mater Today Proc. 2021 Jan 1;45:5873-7.
  4. Gupta R, Malik D, Sankhe S, Unni N. Decarbonising India: Charting a pathway for sustainable growth. McKinsey Sustainability, October. 2022. Ava From : https://www.mckinsey.com/capabilities/sustainability/our-insights/decarbonising-india-charting-a-pathway-for-sustainable-growth
  5. ERBACH G. Climate action in Poland: Latest state of play. Ava from: https://policycommons.net/artifacts/1861051/climate-action-in-poland/2609393/
  6. Zamre P, Lutz T. CFD analysis of a Darrieus vertical-axis wind turbine installation on the rooftop of buildings under turbulent inflow conditions. Wind Energy Sci Discuss. 2021 Oct 11;2021:1-27.
  7. Silva JE, Danao LA. VAWT cluster parameter study on overall cluster performance, Part II: oblique angles and direction of rotation. In: Proceedings of the World Congress on Engineering 2018. Vol. 2.
  8. Hassanpour M, Azadani LN. Aerodynamic optimization of the configuration of a pair of vertical axis wind turbines. Energy Convers Manage. 2021 Jun 15;238:114069.
  9. Hassanpour M, Azadani LN. Aerodynamic optimization of the configuration of a pair of vertical axis wind turbines. Energy Convers Manage. 2021 Jun 15;238:114069.
  10. Haurissa J, Soenoko R. Analysis of cross flow turbine performance with guide passage gate vane (GG) at runner turbine by using a triangle velocity method. Int J Mech Prod Eng Res Dev. 2020;10(3):10743-54.
  11. Qasim A, Usubamatov R, Zain Z. Analysis of impeller type wind turbine. IIUM Eng J. 2011 Dec 20;12(3). Ava from: https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/153
  12. Adeyeye KA, Ijumba N, Colton J. The effect of the number of blades on the efficiency of a wind turbine. In: IOP Conference Series: Earth and Environmental Science. 2021 Jun 1;801(1):012020. IOP Publishing.
  13. Elia A, Taylor M, Gallachóir BÓ, Rogan F. Wind turbine cost reduction: a detailed bottom-up analysis of innovation drivers. Energy Policy. 2020 Dec;147:111912.
  14. Jadhav CR, Chorage RP. Modification in commercial bus model to overcome aerodynamic drag effect by using CFD analysis. Results Eng. 2020 Jun;6:100091.
  15. Alomar OR, Abd HM, Salih MM, Ali FA. Performance analysis of Pelton turbine under different operating conditions: an experimental study. Ain Shams Eng J. 2022 Jun;13(4):101684.
  16. Gao L, Yang S, Abraham A, Hong J. Effects of inflow turbulence on structural response of wind turbine blades. J Wind Eng Ind Aerodyn. Ava from: https://www.sciencedirect.com/science/article/abs/pii/S0167610520300477
  17. Ngoc DM, Techato K, Niem LD, Yen NT, Dat NV, Luengchavanon M. A novel 10 kW vertical axis wind tree design: economic feasibility assessment. Sustainability. 2021 Nov 17;13(22):12720.
  18. BRIEFING: EU progress on climate action – How are the Member States doing?. Climate action in Poland: Latest state of play. Available from: https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698766/EPRS_BRI%282021%29698766_EN.pdf ‌
  19. Muthuvel A, Murthi MK, Sachin NP, Koshy VM, Sakthi S, Selvakumar E. Aerodynamic exterior body design of bus. Int J Sci Eng Res. 2013 Jul;4(7):2453-7.
  20. Menter FR. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 1994 Aug;32(8):1598-605.
  21. Menter F. Zonal two equation kw turbulence models for aerodynamic flows. In23rd fluid dynamics, plasmadynamics, and lasers conference 1993 Jul 6 (p. 2906). Ava From: https://arc.aiaa.org/doi/abs/10.2514/6.1993-2906
  22. Menter FR. Improved two-equation k-omega turbulence models for aerodynamic flows. 1992 Oct 1. Ava From: https://ntrs.nasa.gov/citations/19930013620
  23. Menter F. Zonal two equation kw turbulence models for aerodynamic flows. In23rd fluid dynamics, plasmadynamics, and lasers conference 1993 Jul 6 (p. 2906). Ava from: https://arc.aiaa.org/doi/abs/10.2514/6.1993-2906
  24. Myeong HG. Hybrid RANS/LES method for turbulent channel flow. Trans Korean Soc Mech Eng B. 2002;26:1088-94. doi:10.3795/KSME-B.2002.26.8.1088.
  25. Munson BR, Rothmayer AP, Okiishi TH. Fundamentals of fluid mechanics. Wiley Global Education; 2012 Apr 23. Ava from: https://students.aiu.edu/submissions/profiles/resources/onlineBook/L5g8S6_Fundamentals_of_Fluid_Mechanics-_7.pdf
  26. Tennekes H, Lumley JL. A First Course in Turbulence. A First Course in Turbulence. 1972;30:2515.
  27. Bouhelal A, Smaïli A, Guerri O, Masson C. Numerical investigation of turbulent flow around a recent horizontal axis wind turbine using low and high Reynolds models. J Appl Fluid Mech. 2018;11:151-64. doi:10.29252/jafm.11.01.28074.
  28. de Oliveira, Marielle & Puraca, Rodolfo & Carmo, Bruno. (2022). Assessment of turbulence models for the simulation of the flow through a megawatt scale wind turbine rotor. 10.26678/ABCM.EPTT2022.EPT22-0008.Ava from: https://www.researchgate.net/publication/364894065_Assessment_of_turbulence_models_for_the_simulation_of_the_flow_through_a_megawatt_scale_wind_turbine_rotor
  29. Nazar W, Niedoszytko M. Air pollution in Poland: a 2022 narrative review with focus on respiratory diseases. Int J Environ Res Public Health. 2022 Jan 14;19(2):895.
  30. Nazar W, Plata-Nazar K. Changes in air pollution-related behaviour measured by Google Trends search volume index in response to reported air quality in Poland. Int J Environ Res Public Health. 2021 Nov 8;18(21):11709.
  31. Upadhyay A, Dey S, Chowdhury S, Goyal P. Expected health benefits from mitigation of emissions from major anthropogenic PM2.5 sources in India: statistics at state level. Environ Pollut 2018; 242: 1817–26.
  32. Marmutovaa S. Grid convergence study of a Savonius wind turbine model. InProc. 27th Int. Conf. Effic. Cost, Optim. Simul. Environ. Impact Energy Syst. ECOS 2014.
  33. Mohamed EA, Radhwi MN, Abdel Gawad AF. Computational investigation of aerodynamic characteristics and drag reduction of a bus model. American Journal of Aerospace Engineering. 2015;2(1-1):64-73.
  34. Alonso-Estébanez, A., Del Coz Díaz, J. J., Álvarez Rabanal, F. P. & Pascual-Muñoz, P. (2017). Numerical simulation of bus aerodynamics on several classes of bridge decks. Engineering Applications of Computational Fluid Mechanics, 11(1), 435-449. https://doi.org/10.1080/19942060.2016.1201544
  35. Kim JJ, Baik JJ. A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k–ε turbulence model. Atmospheric Environment. 2004 Jun 1;38(19):3039-48.
  36. Bekhti A, Maizi M, Tata M, Laazab S. Numerical Investigation of Turbulent Flow over a Vertical axis Wind Turbine. In2019 7th International Renewable and Sustainable Energy Conference (IRSEC) 2019 Nov 27 (pp. 1-5). IEEE.
  37. Bilgili M, Yasar A. Performance evaluation of a horizontal axis wind turbine in operation. International Journal of Green Energy. 2017 Sep 26;14(12):1048-56.
  38. You JY, Yu DO, Kwon OJ. Effect of turbulence models on predicting HAWT rotor blade performances. Journal of Mechanical Science and Technology. 2013 Dec;27:3703-11.

Regular Issue Subscription Original Research
Volume 11
Issue 03
Received July 25, 2024
Accepted August 26, 2024
Published September 2, 2024

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.