IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v231y2024ics0960148124010966.html
   My bibliography  Save this article

Design optimization of two-blade Savonius wind turbines for hydrogen generation

Author

Listed:
  • Kaya, Ahmet Fatih
  • Morselli, Nicolò
  • Puglia, Marco
  • Allesina, Giulio
  • Pedrazzi, Simone

Abstract

This paper presents a Taguchi optimization study aimed at enhancing the efficiency of a two bladed Savonius wind turbine by optimizing inner blade parameters. An L9 orthogonal design was created, and one-way analysis of variance (ANOVA) was conducted to assess the impact of each parameter on wind turbine performance. Optimal blades configuration was determined using the Taguchi method and power curve of the wind generator was created. Furthermore, a MATLAB – Simulink model was developed to simulate a hydrogen production system based on an alkaline electrolyser fuelled with the electrical energy produced by the optimized wind turbine. Wind speeds data of Vieste, a small town located in the Gargano promontory of Puglia region, South of Italy, were chosen for yearly based simulations. The ANOVA analysis shows that the most effective parameter on the performance of the optimized turbine was determined as the inner blade angle by 91.85 % and the least important parameter was calculated as the number of inner blades, by 0.98 %. Furthermore, the potential annual hydrogen generation for different numbers of wind turbines was calculated through the MATLAB – Simulink model: 2.423 kg for a single turbine, 25.93 kg for five turbines, and 57.58 kg for ten turbines.

Suggested Citation

  • Kaya, Ahmet Fatih & Morselli, Nicolò & Puglia, Marco & Allesina, Giulio & Pedrazzi, Simone, 2024. "Design optimization of two-blade Savonius wind turbines for hydrogen generation," Renewable Energy, Elsevier, vol. 231(C).
  • Handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124010966
    DOI: 10.1016/j.renene.2024.121028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124010966
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.121028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tai-Lin Chang & Shun-Feng Tsai & Chun-Lung Chen, 2021. "Optimal Design of Novel Blade Profile for Savonius Wind Turbines," Energies, MDPI, vol. 14(12), pages 1-14, June.
    2. Kumar, Anuj & Saini, R.P., 2017. "Performance analysis of a Savonius hydrokinetic turbine having twisted blades," Renewable Energy, Elsevier, vol. 108(C), pages 502-522.
    3. Andrea Alaimo & Antonio Esposito & Alberto Milazzo & Calogero Orlando & Flavio Trentacosti, 2013. "Slotted Blades Savonius Wind Turbine Analysis by CFD," Energies, MDPI, vol. 6(12), pages 1-17, December.
    4. Hashem, I. & Mohamed, M.H., 2018. "Aerodynamic performance enhancements of H-rotor Darrieus wind turbine," Energy, Elsevier, vol. 142(C), pages 531-545.
    5. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    6. Luis A. Gallo & Edwin L. Chica & Elkin G. Flórez, 2022. "Numerical Optimization of the Blade Profile of a Savonius Type Rotor Using the Response Surface Methodology," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
    7. Gennaioli, Caterina & Tavoni, Massimo, 2016. "Clean or dirty energy: evidence of corruption in the renewable energy sector," LSE Research Online Documents on Economics 65173, London School of Economics and Political Science, LSE Library.
    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. Shubham, Shubham & Naik, Kevin & Sachar, Shivangi & Ianakiev, Anton, 2023. "Performance analysis of low Reynolds number vertical axis wind turbines using low-fidelity and mid-fidelity methods and wind conditions in the city of Nottingham," Energy, Elsevier, vol. 279(C).
    2. Luca Salvadori & Annalisa Di Bernardino & Giorgio Querzoli & Simone Ferrari, 2021. "A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment," Energies, MDPI, vol. 14(16), pages 1-22, August.
    3. Rengma, Thochi Seb & Gupta, Mahendra Kumar & Subbarao, P.M.V., 2023. "A novel method of optimizing the Savonius hydrokinetic turbine blades using Bezier curve," Renewable Energy, Elsevier, vol. 216(C).
    4. Trentin, Pedro Francisco Silva & Martinez, Pedro Henrique Barsanaor de Barros & dos Santos, Gabriel Bertacco & Gasparin, Elóy Esteves & Salviano, Leandro Oliveira, 2022. "Screening analysis and unconstrained optimization of a small-scale vertical axis wind turbine," Energy, Elsevier, vol. 240(C).
    5. Andrea Alaimo & Antonio Esposito & Antonio Messineo & Calogero Orlando & Davide Tumino, 2015. "3D CFD Analysis of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 8(4), pages 1-21, April.
    6. Kamal, Md. Mustafa & Saini, R.P., 2023. "Performance investigations of hybrid hydrokinetic turbine rotor with different system and operating parameters," Energy, Elsevier, vol. 267(C).
    7. He, J.Y. & Chan, P.W. & Li, Q.S. & Huang, Tao & Yim, Steve Hung Lam, 2024. "Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    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. Jiao, Jianling & Song, Jiangfeng & Ding, Tao, 2024. "The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries," Energy, Elsevier, vol. 295(C).
    10. Liu, Jian & Zhu, Wenqing & Xiao, Zhixiang & Sun, Haisheng & Huang, Yong & Liu, Zhitao, 2018. "DDES with adaptive coefficient for stalled flows past a wind turbine airfoil," Energy, Elsevier, vol. 161(C), pages 846-858.
    11. Corneliu Marinescu, 2021. "Design Consideration Regarding a Residential Renewable-Based Microgrid with EV Charging Station Capabilities," Energies, MDPI, vol. 14(16), pages 1-13, August.
    12. Guo, Fen & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2020. "Experimental and numerical validation of the influence on Savonius turbine caused by rear deflector," Energy, Elsevier, vol. 196(C).
    13. Donatella Baiardi & Simona Scabrosetti, 2020. "Does the quality of political institutions matter for the effectiveness of environmental taxes? An empirical analysis on CO2 emissions," Working papers 92, Società Italiana di Economia Pubblica.
    14. Sinha, Avik & Gupta, Monika & Shahbaz, Muhammad & Sengupta, Tuhin, 2019. "Impact of Corruption in Public Sector on Environmental Quality: Implications for Sustainability in BRICS and Next 11 Countries," MPRA Paper 94357, University Library of Munich, Germany, revised 05 Jun 2019.
    15. Opeyemi, Akinyemi & Uchenna, Efobi & Simplice, Asongu & Evans, Osabuohein, 2019. "Renewable energy, trade performance and the conditional role of finance and institutional capacity in sub-Sahara African countries," Energy Policy, Elsevier, vol. 132(C), pages 490-498.
    16. Tian, Wenlong & Song, Baowei & Mao, Zhaoyong, 2020. "Numerical investigation of wind turbines and turbine arrays on highways," Renewable Energy, Elsevier, vol. 147(P1), pages 384-398.
    17. Moliterni, Fabio, 2017. "Analysis of Public Subsidies to the Solar Energy Sector: Corruption and the Role of Institutions," SAS: Society and Sustainability 259482, Fondazione Eni Enrico Mattei (FEEM).
    18. Fabio Moliterni, 2017. "Analysis of Public Subsidies to the Solar Energy Sector: Corruption and the Role of Institutions," Working Papers 2017.33, Fondazione Eni Enrico Mattei.
    19. Abdel Hameed, Hossam S. & Hashem, Islam & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2023. "Shape optimization of a shrouded Archimedean-spiral type wind turbine for small-scale applications," Energy, Elsevier, vol. 263(PB).
    20. Kamal, Md. Mustafa & Saini, R.P., 2022. "A numerical investigation on the influence of savonius blade helicity on the performance characteristics of hybrid cross-flow hydrokinetic turbine," Renewable Energy, Elsevier, vol. 190(C), pages 788-804.

    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:eee:renene:v:231:y:2024:i:c:s0960148124010966. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.