IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p3015-d1107416.html
   My bibliography  Save this article

Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree

Author

Listed:
  • Mukesh Kumar Rathore

    (Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India)

  • Meena Agrawal

    (Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India)

  • Prashant Baredar

    (Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India)

  • Anoop Kumar Shukla

    (Department of Mechanical Engineering, Amity University Uttar Pradesh, Noida 201313, India)

  • Gaurav Dwivedi

    (Energy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, India)

  • Puneet Verma

    (School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane City, QLD 4000, Australia)

Abstract

Large wind turbines of the horizontal axis are commonly used to gather wind energy; however, their performance is found to be constrained in conditions of erratic and low-speed wind flow. In contrast, low wind conditions—which are typically present in dense urban areas—are found to favour vertical axis wind turbines (VAWT). These turbines have a simple design, are inexpensive and quiet, and are discovered to be better in low wind situations. In this research, we have chosen wind tree applications to absorb the most available wind energy. The new Aeroleaf Savonius Wind Turbine was developed numerically and a computational fluid dynamics simulation was performed on this new type of Savonius tree to predict its performance. The results indicated that the system could accept wind from any direction and could start rotating as soon as the site had a cut in wind speed of 3.3 m/s. The rotor speed increased by 10.4% from 5.5 to 6.3 m/s wind speed at 0.45 tip speed ratio. The tip speed ratio is 0.52 at the site’s high wind speed, and under these circumstances, the maximum Cp is 12.9%. The turbine was able to produce superior performance coefficients, according to the results.

Suggested Citation

  • Mukesh Kumar Rathore & Meena Agrawal & Prashant Baredar & Anoop Kumar Shukla & Gaurav Dwivedi & Puneet Verma, 2023. "Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree," Energies, MDPI, vol. 16(7), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3015-:d:1107416
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/3015/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/7/3015/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mishnaevsky, Leon & Hasager, Charlotte Bay & Bak, Christian & Tilg, Anna-Maria & Bech, Jakob I. & Doagou Rad, Saeed & Fæster, Søren, 2021. "Leading edge erosion of wind turbine blades: Understanding, prevention and protection," Renewable Energy, Elsevier, vol. 169(C), pages 953-969.
    2. Chowdhury, Abdullah Mobin & Akimoto, Hiromichi & Hara, Yutaka, 2016. "Comparative CFD analysis of Vertical Axis Wind Turbine in upright and tilted configuration," Renewable Energy, Elsevier, vol. 85(C), pages 327-337.
    3. Wenlong Tian & Baowei Song & James H. VanZwieten & Parakram Pyakurel, 2015. "Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes," Energies, MDPI, vol. 8(8), pages 1-15, July.
    4. Ohunakin, O.S. & Adaramola, M.S. & Oyewola, O.M., 2011. "Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria," Applied Energy, Elsevier, vol. 88(9), pages 3197-3206.
    5. Bhayo, Bilawal A. & Al-Kayiem, Hussain H., 2017. "Experimental characterization and comparison of performance parameters of S-rotors for standalone wind power system," Energy, Elsevier, vol. 138(C), pages 752-763.
    Full references (including those not matched with items on IDEAS)

    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. Noman, Abdullah Al & Tasneem, Zinat & Sahed, Md. Fahad & Muyeen, S.M. & Das, Sajal K. & Alam, Firoz, 2022. "Towards next generation Savonius wind turbine: Artificial intelligence in blade design trends and framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Hassan, Syed Saddam ul & Javaid, M. Tariq & Rauf, Umar & Nasir, Sheharyar & Shahzad, Aamer & Salamat, Shuaib, 2023. "Systematic investigation of power enhancement of Vertical Axis Wind Turbines using bio-inspired leading edge tubercles," Energy, Elsevier, vol. 270(C).
    3. Ugwoke, B. & Gershon, O. & Becchio, C. & Corgnati, S.P. & Leone, P., 2020. "A review of Nigerian energy access studies: The story told so far," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    4. Hoksbergen, T.H. & Akkerman, R. & Baran, I., 2023. "Rain droplet impact stress analysis for leading edge protection coating systems for wind turbine blades," Renewable Energy, Elsevier, vol. 218(C).
    5. Rubel C. Das & Yu-Lin Shen, 2023. "Analysis of Wind Farms under Different Yaw Angles and Wind Speeds," Energies, MDPI, vol. 16(13), pages 1-19, June.
    6. Fang, Jianhao & Hu, Weifei & Liu, Zhenyu & Chen, Weiyi & Tan, Jianrong & Jiang, Zhiyu & Verma, Amrit Shankar, 2022. "Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Barnes, Andrew & Hughes, Ben, 2019. "Determining the impact of VAWT farm configurations on power output," Renewable Energy, Elsevier, vol. 143(C), pages 1111-1120.
    8. Baoshou Zhang & Baowei Song & Zhaoyong Mao & Wenlong Tian & Boyang Li & Bo Li, 2017. "A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines," Energies, MDPI, vol. 10(3), pages 1-20, March.
    9. Ruth Chinyere Anyanwu & Cristina Rodriguez & Andy Durrant & Abdul Ghani Olabi, 2022. "Evaluation of Growth Rate and Biomass Productivity of Scenedesmus quadricauda and Chlorella vulgaris under Different LED Wavelengths and Photoperiods," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    10. Sun, Shilin & Wang, Tianyang & Chu, Fulei, 2022. "In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    11. Chadee, Xsitaaz T. & Clarke, Ricardo M., 2018. "Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2526-2540.
    12. Hamid Arionfard & Sina Mohammadi, 2021. "Numerical Investigation of the Geometrical Effect on Flow-Induced Vibration Performance of Pivoted Bodies," Energies, MDPI, vol. 14(4), pages 1-15, February.
    13. Pierre Tchakoua & René Wamkeue & Mohand Ouhrouche & Tommy Andy Tameghe & Gabriel Ekemb, 2015. "A New Approach for Modeling Darrieus-Type Vertical Axis Wind Turbine Rotors Using Electrical Equivalent Circuit Analogy: Basis of Theoretical Formulations and Model Development," Energies, MDPI, vol. 8(10), pages 1-34, September.
    14. Ajayi, Oluseyi O, 2013. "Sustainable energy development and environmental protection: Implication for selected states in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 532-539.
    15. Brimmo, Ayoola T. & Sodiq, Ahmed & Sofela, Samuel & Kolo, Isa, 2017. "Sustainable energy development in Nigeria: Wind, hydropower, geothermal and nuclear (Vol. 1)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 474-490.
    16. Stefania Zanforlin & Fulvio Buzzi & Marika Francesconi, 2019. "Performance Analysis of Hydrofoil Shaped and Bi-Directional Diffusers for Cross Flow Tidal Turbines in Single and Double-Rotor Configurations," Energies, MDPI, vol. 12(2), pages 1-25, January.
    17. Sergio Campobasso, M. & Castorrini, Alessio & Ortolani, Andrea & Minisci, Edmondo, 2023. "Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    18. Tian, Wenlong & Mao, Zhaoyong & An, Xinyu & Zhang, Baoshou & Wen, Haibing, 2017. "Numerical study of energy recovery from the wakes of moving vehicles on highways by using a vertical axis wind turbine," Energy, Elsevier, vol. 141(C), pages 715-728.
    19. Luke Sakamoto & Tomohiro Fukui & Koji Morinishi, 2022. "Blade Dimension Optimization and Performance Analysis of the 2-D Ugrinsky Wind Turbine," Energies, MDPI, vol. 15(7), pages 1-14, March.
    20. Wong, Kok Hoe & Chong, Wen Tong & Poh, Sin Chew & Shiah, Yui-Chuin & Sukiman, Nazatul Liana & Wang, Chin-Tsan, 2018. "3D CFD simulation and parametric study of a flat plate deflector for vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 32-55.

    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:gam:jeners:v:16:y:2023:i:7:p:3015-:d:1107416. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.