Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests

Juan Camilo Pineda, Ainhoa Rubio-Clemente and Edwin Chica ()
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Juan Camilo Pineda: 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
Edwin Chica: Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia

Energies, 2024, vol. 17, issue 22, 1-21

Abstract: The work presents an analysis of the Gorlov helical turbine (GHT) design using both computational fluid dynamics (CFD) simulations and response surface methodology (RSM). The RSM method was applied to investigate the impact of three geometric factors on the turbine’s power coefficient (C P ): the number of blades (N), helix angle ( γ ), and aspect ratio (AR). Central composite design (CCD) was used for the design of experiments (DOE). For the CFD simulations, a three-dimensional computational domain was established in the Ansys Fluent software, version 2021R1 utilizing the k- ω SST turbulence model and the sliding mesh method to perform unsteady flow simulations. The objective function was to achieve the maximum C P , which was obtained using a high-correlation quadratic mathematical model. Under the optimum conditions, where N, γ , and AR were 5, 78°, and 0.6, respectively, a C P value of 0.3072 was achieved. The optimal turbine geometry was validated through experimental testing, and the C P curve versus tip speed ratio (TSR) was determined and compared with the numerical results, which showed a strong correlation between the two sets of data.

Keywords: computational fluid dynamics; response surface methodology; optimization; Gorlov helical turbine; power coefficient (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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