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Design optimization of an Archimedes screw turbine for hydrokinetic applications using the response surface methodology

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  • Bouvant, Maël
  • Betancour, Johan
  • Velásquez, Laura
  • Rubio-Clemente, Ainhoa
  • Chica, Edwin

Abstract

In this study, the performance of an Archimedes screw turbine (AST), in terms of the power coefficient (CP), was evaluated. The design parameters, including the inner and the outer diameter (Di and Do, respectively), the axle length (L), the blade inclination with respect to the longitudinal axis of the screw (α) and the blade stride (p), were selected as the studied factors to be optimized by using the response surface methodology and particularly a central composite design of experiments (CCD) to maximize the CP value. Computational fluid dynamics simulations were conducted to investigate the interaction among the referred parameters on the turbine performance. In the numerical simulation, six degrees of freedom (6-DoF) user defined function (UDF) method was used. Furthermore, the results obtained for the initial and the optimized turbine configurations were compared based on the experimental data available in the literature. The numerical results showed a good agreement with the reported experimental data. The highest CP values obtained under optimal design conditions; i.e., at aDi/Do, L, α and a p equal to 0.1, 360 mm, 73.94∘ and 220 mm, respectively, were 0.5515 (CFD result) and 0.5137 (predicted value derived from the validated reduced second-order regression model).

Suggested Citation

  • Bouvant, Maël & Betancour, Johan & Velásquez, Laura & Rubio-Clemente, Ainhoa & Chica, Edwin, 2021. "Design optimization of an Archimedes screw turbine for hydrokinetic applications using the response surface methodology," Renewable Energy, Elsevier, vol. 172(C), pages 941-954.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:941-954
    DOI: 10.1016/j.renene.2021.03.076
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    References listed on IDEAS

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    2. Gaiser, Kyle & Erickson, Paul & Stroeve, Pieter & Delplanque, Jean-Pierre, 2016. "An experimental investigation of design parameters for pico-hydro Turgo turbines using a response surface methodology," Renewable Energy, Elsevier, vol. 85(C), pages 406-418.
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    Cited by:

    1. Zhang, Dayu & Guo, Penghua & Qian, Yuqi & Qiao, Hu & Li, Jingyin, 2024. "Analysis and optimization of a deep-water in-situ power generation system based on novel ductless Archimedes screw hydrokinetic turbines," Renewable Energy, Elsevier, vol. 225(C).
    2. Dylan Sheneth Edirisinghe & Ho-Seong Yang & Min-Sung Kim & Byung-Ha Kim & Sudath Prasanna Gunawardane & Young-Ho Lee, 2021. "Computational Flow Analysis on a Real Scale Run-of-River Archimedes Screw Turbine with a High Incline Angle," Energies, MDPI, vol. 14(11), pages 1-18, June.
    3. Mahdavi, Navid & Mojaver, Parisa & Khalilarya, Shahram, 2022. "Multi-objective optimization of power, CO2 emission and exergy efficiency of a novel solar-assisted CCHP system using RSM and TOPSIS coupled method," Renewable Energy, Elsevier, vol. 185(C), pages 506-524.
    4. Velásquez, Laura & Posada, Alejandro & Chica, Edwin, 2022. "Optimization of the basin and inlet channel of a gravitational water vortex hydraulic turbine using the response surface methodology," Renewable Energy, Elsevier, vol. 187(C), pages 508-521.
    5. Velásquez, Laura & Romero-Menco, Fredys & Rubio-Clemente, Ainhoa & Posada, Alejandro & Chica, Edwin, 2024. "Numerical optimization and experimental validation of the runner of a gravitational water vortex hydraulic turbine with a spiral inlet channel and a conical basin," Renewable Energy, Elsevier, vol. 220(C).

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