IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8476-d1488773.html
   My bibliography  Save this article

Experimental Optimization of the Propeller Turbine Performance Using the Response Surface Methodology

Author

Listed:
  • Laura Velásquez

    (Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia)

  • Ainhoa Rubio-Clemente

    (Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia
    Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia)

  • Daniel Tobón

    (Applied Mechanics Research Group, Universidad EAFIT, Carrera 49 No. 7-50, Medellín 050022, Colombia)

  • Francisco Botero

    (Applied Mechanics Research Group, Universidad EAFIT, Carrera 49 No. 7-50, Medellín 050022, Colombia)

  • Carlos Arrieta

    (Grupo de Investigación en Ingeniería en Energía, Facultad de Ingeniería, Universidad de Medellín, Carrera 87 No. 30-65, Medellín 050026, Colombia)

  • Edwin Chica

    (Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia)

Abstract

The growing global energy demand necessitates a shift towards sustainable sources to mitigate environmental issues and ensure energy security. This work explores the design and optimization of propeller-type hydrokinetic turbines to efficiently harness renewable energy from water currents. Through experimental testing and regression modeling, the research aimed to maximize the power coefficient ( C p ) by determining the optimal values of the number of blades ( Z ) and the turbine diameter to hub diameter ratio ( d / D ). By correcting for experimental biases, the study elucidates the importance of factors such as the blockage ratio and turbine configuration on its performance. A second-order polynomial regression model, which was validated through analysis of variance, determined that when Z and d / D were set at 4 and 0.15, respectively, the optimal value for Cp was 53.62%. These findings provide valuable insights for optimizing hydrokinetic turbine efficiency, contributing to the advancement of renewable energy technologies.

Suggested Citation

  • Laura Velásquez & Ainhoa Rubio-Clemente & Daniel Tobón & Francisco Botero & Carlos Arrieta & Edwin Chica, 2024. "Experimental Optimization of the Propeller Turbine Performance Using the Response Surface Methodology," Sustainability, MDPI, vol. 16(19), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8476-:d:1488773
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8476/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/19/8476/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    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. Laws, Nicholas D. & Epps, Brenden P., 2016. "Hydrokinetic energy conversion: Technology, research, and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1245-1259.
    4. Zouzou, B. & Dobrev, I. & Massouh, F. & Dizene, R., 2019. "Experimental and numerical analysis of a novel Darrieus rotor with variable pitch mechanism at low TSR," Energy, Elsevier, vol. 186(C).
    5. Kumar, Dinesh & Sarkar, Shibayan, 2016. "A review on the technology, performance, design optimization, reliability, techno-economics and environmental impacts of hydrokinetic energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 796-813.
    6. Ashiwani Yadav & Nitai Pal & Jagannath Patra & Monika Yadav, 2020. "Strategic planning and challenges to the deployment of renewable energy technologies in the world scenario: its impact on global sustainable development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 297-315, January.
    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. 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).
    2. 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).
    3. Derya Karakaya & Aslı Bor & Sebnem Elçi, 2024. "Numerical Analysis of Three Vertical Axis Turbine Designs for Improved Water Energy Efficiency," Energies, MDPI, vol. 17(6), pages 1-24, March.
    4. Mendes, Rafael C.F. & Chapui, Benoit & Oliveira, Taygoara F. & Noguera, Ricardo & Brasil, Antonio C.P., 2024. "Flow through horizontal axis propeller turbines in a triangular array," Renewable Energy, Elsevier, vol. 220(C).
    5. Khani, Mohammad Sadegh & Shahsavani, Younes & Mehraein, Mojtaba & Soleimani Rad, Mohammad Hossein & Nikbakhsh, Amir Abbas, 2024. "Evaluation of the performance of the Savonius hydrokinetic turbines in the straight and curved channels using advanced machine learning methods," Energy, Elsevier, vol. 290(C).
    6. Niebuhr, C.M. & van Dijk, M. & Neary, V.S. & Bhagwan, J.N., 2019. "A review of hydrokinetic turbines and enhancement techniques for canal installations: Technology, applicability and potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    7. Kumar, Anuj & Saini, R.P., 2016. "Performance parameters of Savonius type hydrokinetic turbine – A Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 289-310.
    8. Zhang, Yongchao & Kang, Can & Ji, Yanguang & Li, Qing, 2019. "Experimental and numerical investigation of flow patterns and performance of a modified Savonius hydrokinetic rotor," Renewable Energy, Elsevier, vol. 141(C), pages 1067-1079.
    9. Fontaine, A.A. & Straka, W.A. & Meyer, R.S. & Jonson, M.L. & Young, S.D. & Neary, V.S., 2020. "Performance and wake flow characterization of a 1:8.7-scale reference USDOE MHKF1 hydrokinetic turbine to establish a verification and validation test database," Renewable Energy, Elsevier, vol. 159(C), pages 451-467.
    10. de Souza, Zulcy & Tiago Filho, Geraldo Lúcio & Barros, Regina Mambeli & Silva dos Santos, Ivan Felipe & da Silva, Fernando das Graças Braga & Prado Leite, Marcelo Daige & Prudente, Érica Patricia, 2017. "The limit of sequential exploitation of a river’s hydraulic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 272-285.
    11. Kuo-Tsai Wu & Kuo-Hao Lo & Ruey-Chy Kao & Sheng-Jye Hwang, 2022. "Numerical and Experimental Investigation of the Effect of Design Parameters on Savonius-Type Hydrokinetic Turbine Performance," Energies, MDPI, vol. 15(5), pages 1-19, March.
    12. Bhagat, Ravindra & Kumar, Dinesh & Sarkar, Shibayan, 2023. "Design modification and performance prediction of ellipsoid cross-flow hydrokinetic turbine," Renewable Energy, Elsevier, vol. 219(P1).
    13. Zitti, Gianluca & Fattore, Fernando & Brunori, Alessandro & Brunori, Bruno & Brocchini, Maurizio, 2020. "Efficiency evaluation of a ductless Archimedes turbine: Laboratory experiments and numerical simulations," Renewable Energy, Elsevier, vol. 146(C), pages 867-879.
    14. Musa, Mirko & Hill, Craig & Guala, Michele, 2019. "Interaction between hydrokinetic turbine wakes and sediment dynamics: array performance and geomorphic effects under different siting strategies and sediment transport conditions," Renewable Energy, Elsevier, vol. 138(C), pages 738-753.
    15. Moreau, Martin & Germain, Grégory & Maurice, Guillaume, 2023. "Experimental performance and wake study of a ducted twin vertical axis turbine in ebb and flood tide currents at a 1/20th scale," Renewable Energy, Elsevier, vol. 214(C), pages 318-333.
    16. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    17. Xiangang Cao & Pengfei Li & Song Ming, 2021. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    18. Brown, Eloise J. & King, Amanda L. & Duvoy, Paul X. & Trochim, Erin & Kasper, Jeremy L. & Wilson, Melany L. & Ravens, Thomas M., 2023. "Site suitability analysis of hydrokinetic river energy resources at community microgrids on the Kuskokwim River, Alaska," Renewable Energy, Elsevier, vol. 217(C).
    19. Song, Zhouzhou & Zhang, Hanyu & Liu, Zhao & Zhu, Ping, 2023. "A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    20. Mansoor Ahmed Zaib & Arbaz Waqar & Shoukat Abbas & Saeed Badshah & Sajjad Ahmad & Muhammad Amjad & Seyed Saeid Rahimian Koloor & Mohamed Eldessouki, 2022. "Effect of Blade Diameter on the Performance of Horizontal-Axis Ocean Current Turbine," Energies, MDPI, vol. 15(15), pages 1-13, July.

    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:16:y:2024:i:19:p:8476-:d:1488773. 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.