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Design and Optimization of a Gorlov-Type Hydrokinetic Turbine Array for Energy Generation Using Response Surface Methodology

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  • Andrés Chalaca

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

  • 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)

  • Edwin Chica

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

Abstract

Hydrokinetic arrays, or farms, offer a promising solution to the global energy crisis by enabling cost-effective and environmentally friendly energy generation in locations with water flows. This paper presents research focused on the design and optimization of a Gorlov-type vertical-axis hydrokinetic turbine array for power generation. The study involved (i) numerical simulations using computational fluid dynamics (CFD) software with the six degrees of freedom (6DoF) tool, (ii) optimization techniques such as response surface methodology, and (iii) experimental testing in natural environments. The objective was to develop an efficient system with low manufacturing and maintenance costs. A key finding was that the separation distance between rotors, both along and across the fluid flow, is a critical parameter in designing hydrokinetic arrays. For this study, a triangular array configuration, termed Triframe, was used, consisting of three Gorlov-type turbines with four blades each. The optimization process led to separation distances based on the diameter ( D ) of the turbines, with 15.9672 D along the fluid flow ( X ) and 4.15719 D across the flow ( Y ). Finally, an experimental scale model of the hydrokinetic array was successfully constructed and characterized, demonstrating the effectiveness of the optimization process described in this study.

Suggested Citation

  • Andrés Chalaca & Laura Velásquez & Ainhoa Rubio-Clemente & Edwin Chica, 2024. "Design and Optimization of a Gorlov-Type Hydrokinetic Turbine Array for Energy Generation Using Response Surface Methodology," Energies, MDPI, vol. 17(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4870-:d:1487888
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    References listed on IDEAS

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    1. Malki, Rami & Masters, Ian & Williams, Alison J. & Nick Croft, T., 2014. "Planning tidal stream turbine array layouts using a coupled blade element momentum – computational fluid dynamics model," Renewable Energy, Elsevier, vol. 63(C), pages 46-54.
    2. Khan, M.J. & Bhuyan, G. & Iqbal, M.T. & Quaicoe, J.E., 2009. "Hydrokinetic energy conversion systems and assessment of horizontal and vertical axis turbines for river and tidal applications: A technology status review," Applied Energy, Elsevier, vol. 86(10), pages 1823-1835, October.
    3. Okulov, V.L. & Naumov, I.V. & Kabardin, I.K. & Litvinov, I.V. & Markovich, D.M. & Mikkelsen, R.F. & Sørensen, J.N. & Alekseenko, S.V. & Wood, D.H., 2021. "Experiments on line arrays of horizontal-axis hydroturbines," Renewable Energy, Elsevier, vol. 163(C), pages 15-21.
    4. González-Gorbeña, Eduardo & Qassim, Raad Y. & Rosman, Paulo C.C., 2016. "Optimisation of hydrokinetic turbine array layouts via surrogate modelling," Renewable Energy, Elsevier, vol. 93(C), pages 45-57.
    5. Khan, Zain Ullah & Ali, Zaib & Uddin, Emad, 2022. "Performance enhancement of vertical axis hydrokinetic turbine using novel blade profile," Renewable Energy, Elsevier, vol. 188(C), pages 801-818.
    6. Riglin, Jacob & Daskiran, Cosan & Jonas, Joseph & Schleicher, W. Chris & Oztekin, Alparslan, 2016. "Hydrokinetic turbine array characteristics for river applications and spatially restricted flows," Renewable Energy, Elsevier, vol. 97(C), pages 274-283.
    7. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "CFD simulation of a vertical axis wind turbine operating at a moderate tip speed ratio: Guidelines for minimum domain size and azimuthal increment," Renewable Energy, Elsevier, vol. 107(C), pages 373-385.
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