IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16084-d990739.html
   My bibliography  Save this article

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

Author

Listed:
  • Sudip Basack

    (Elitte College of Engineering, Affiliated: MAKA University of Technology, Kolkata 700113, India)

  • Shantanu Dutta

    (Department of Mechanical Engineering, Elitte College of Engineering, Affiliated: MAKA University of Technology, Kolkata 700113, India)

  • Dipasri Saha

    (Department of Electrical Engineering, Elitte College of Engineering, Affiliated: MAKA University of Technology, Kolkata 700113, India)

Abstract

Amongst various sources of renewable energy, the kinetic energy of blowing wind has environmental friendliness and easy availability, together with other benefits. The wind energy is converted into usable electrical energy by means of a robust device termed a wind turbine. To carry out a performance study of such a device, a small-scale model vertical-axis wind turbine was installed at the laboratory and was run by artificial wind energy produced by a pedestal fan for low and medium speeds and a blower for higher speeds. The variation in critical parameters such as output power and voltage with different speeds was studied. The average output power and voltage were observed to increase with average shaft speed with linear and curvilinear patterns, respectively. The vibration produced at the bearing shaft resulting from the rotating components was analyzed as well. As observed, the peak values of critical vibration parameters such as displacement, velocity, acceleration, and frequency mostly varied curvilinearly with average shaft speeds. To study the applicability of the power generation, an electronically controlled automatic drip irrigation system was allowed to run by the wind turbine and important observations were made. Theoretical analyses (numerical and analytical) of the wind flow and power generation were also performed.

Suggested Citation

  • Sudip Basack & Shantanu Dutta & Dipasri Saha, 2022. "Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model," Sustainability, MDPI, vol. 14(23), pages 1-29, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16084-:d:990739
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16084/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/16084/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    2. Raghunathan Krishankumar & Arunodaya Raj Mishra & Kattur Soundarapandian Ravichandran & Xindong Peng & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Abbas Mardani, 2020. "A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set," Energies, MDPI, vol. 13(4), pages 1-25, February.
    3. R. Krishankumar & K. S. Ravichandran & Samarjit Kar & Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Abbas Mardani, 2019. "Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information," Sustainability, MDPI, vol. 11(15), pages 1-21, August.
    4. Nishant Jha & Deepak Prashar & Mamoon Rashid & Zeba Khanam & Amandeep Nagpal & Ahmed Saeed AlGhamdi & Sultan S. Alshamrani & Araz Darba, 2022. "Energy-Efficient Hybrid Power System Model Based on Solar and Wind Energy for Integrated Grids," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, February.
    5. Bastankhah, Majid & Porté-Agel, Fernando, 2014. "A new analytical model for wind-turbine wakes," Renewable Energy, Elsevier, vol. 70(C), pages 116-123.
    6. Hansen, Joachim Toftegaard & Mahak, Mahak & Tzanakis, Iakovos, 2021. "Numerical modelling and optimization of vertical axis wind turbine pairs: A scale up approach," Renewable Energy, Elsevier, vol. 171(C), pages 1371-1381.
    7. Albadi, M.H. & El-Saadany, E.F. & Albadi, H.A., 2009. "Wind to power a new city in Oman," Energy, Elsevier, vol. 34(10), pages 1579-1586.
    8. Enevoldsen, Peter & Permien, Finn-Hendrik & Bakhtaoui, Ines & Krauland, Anna-Katharina von & Jacobson, Mark Z. & Xydis, George & Sovacool, Benjamin K. & Valentine, Scott V. & Luecht, Daniel & Oxley, G, 2019. "How much wind power potential does europe have? Examining european wind power potential with an enhanced socio-technical atlas," Energy Policy, Elsevier, vol. 132(C), pages 1092-1100.
    9. Hosseini, Seyed Mohsen & Kanagaraj, N. & Sadeghi, Shahrbanoo & Yousefi, Hossein, 2022. "Midpoint and endpoint impacts of electricity generation by renewable and nonrenewable technologies: A case study of Alberta, Canada," Renewable Energy, Elsevier, vol. 197(C), pages 22-39.
    10. Sudip Basack & Ghritartha Goswami & Zi-Hang Dai & Parinita Baruah, 2022. "Failure-Mechanism and Design Techniques of Offshore Wind Turbine Pile Foundation: Review and Research Directions," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    11. Alok K. Pandey & R. Krishankumar & Dragan Pamucar & Fausto Cavallaro & Abbas Mardani & Samarjit Kar & K. S. Ravichandran, 2021. "A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty," Energies, MDPI, vol. 14(20), pages 1-27, October.
    12. Baseer, M.A. & Meyer, J.P. & Rehman, S. & Md. Mahbub Alam, & Al-Hadhrami, L.M. & Lashin, A., 2016. "Performance evaluation of cup-anemometers and wind speed characteristics analysis," Renewable Energy, Elsevier, vol. 86(C), pages 733-744.
    13. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2009. "Assessment of sustainability indicators for renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1082-1088, June.
    14. Arslan Salim Dar & Fernando Porté-Agel, 2022. "An Analytical Model for Wind Turbine Wakes under Pressure Gradient," Energies, MDPI, vol. 15(15), pages 1-13, July.
    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. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.
    2. Osman Taylan & Rami Alamoudi & Mohammad Kabli & Alawi AlJifri & Fares Ramzi & Enrique Herrera-Viedma, 2020. "Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions," Sustainability, MDPI, vol. 12(7), pages 1-27, March.
    3. Vytautas Palevičius & Rasa Ušpalytė-Vitkūnienė & Jonas Damidavičius & Tomas Karpavičius, 2020. "Concepts of Development of Alternative Travel in Autonomous Cars," Sustainability, MDPI, vol. 12(21), pages 1-13, October.
    4. Reddy, Sohail R., 2020. "Wind Farm Layout Optimization (WindFLO) : An advanced framework for fast wind farm analysis and optimization," Applied Energy, Elsevier, vol. 269(C).
    5. Hyungyu Kim & Kwansu Kim & Carlo Luigi Bottasso & Filippo Campagnolo & Insu Paek, 2018. "Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model," Energies, MDPI, vol. 11(10), pages 1-19, October.
    6. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
    7. Agnieszka Operacz, 2021. "Possibility of Hydropower Development: A Simple-to-Use Index," Energies, MDPI, vol. 14(10), pages 1-19, May.
    8. Ziyu Zhang & Peng Huang & Haocheng Sun, 2020. "A Novel Analytical Wake Model with a Cosine-Shaped Velocity Deficit," Energies, MDPI, vol. 13(13), pages 1-20, June.
    9. Al-Qahtani, Amjad & González-Garay, Andrés & Bernardi, Andrea & Galán-Martín, Ángel & Pozo, Carlos & Dowell, Niall Mac & Chachuat, Benoit & Guillén-Gosálbez, Gonzalo, 2020. "Electricity grid decarbonisation or green methanol fuel? A life-cycle modelling and analysis of today′s transportation-power nexus," Applied Energy, Elsevier, vol. 265(C).
    10. Song, Mengxuan & Wen, Yi & Duan, Bin & Wang, Jun & Gong, Qi, 2017. "Micro-siting optimization of a wind farm built in multiple phases," Energy, Elsevier, vol. 137(C), pages 95-103.
    11. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    12. Sarlak, H. & Meneveau, C. & Sørensen, J.N., 2015. "Role of subgrid-scale modeling in large eddy simulation of wind turbine wake interactions," Renewable Energy, Elsevier, vol. 77(C), pages 386-399.
    13. L. Hay & A. H. B. Duffy & R. I. Whitfield, 2017. "The S‐Cycle Performance Matrix: Supporting Comprehensive Sustainability Performance Evaluation of Technical Systems," Systems Engineering, John Wiley & Sons, vol. 20(1), pages 45-70, January.
    14. Emblemsvåg, Jan, 2022. "Wind energy is not sustainable when balanced by fossil energy," Applied Energy, Elsevier, vol. 305(C).
    15. Dianfu Fu & Shuzhao Li & Hui Zhang & Yu Jiang & Run Liu & Chengfeng Li, 2023. "The Influence Depth of Pile Base Resistance in Sand-Layered Clay," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
    16. Fonseca, Juan D. & Commenge, Jean-Marc & Camargo, Mauricio & Falk, Laurent & Gil, Iván D., 2021. "Sustainability analysis for the design of distributed energy systems: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 290(C).
    17. Nicolas Tobin & Ali M. Hamed & Leonardo P. Chamorro, 2015. "An Experimental Study on the Effects ofWinglets on the Wake and Performance of a ModelWind Turbine," Energies, MDPI, vol. 8(10), pages 1-18, October.
    18. Gottschamer, L. & Zhang, Q., 2016. "Interactions of factors impacting implementation and sustainability of renewable energy sourced electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 164-174.
    19. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2014. "South Korean energy scenarios show how nuclear power can reduce future energy and environmental costs," Energy Policy, Elsevier, vol. 74(C), pages 569-578.
    20. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.

    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:jsusta:v:14:y:2022:i:23:p:16084-:d:990739. 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.