Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests
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<sub>P...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/22/5747 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846153682336350208 |
|---|---|
| author | Juan Camilo Pineda Ainhoa Rubio-Clemente Edwin Chica |
| author_facet | Juan Camilo Pineda Ainhoa Rubio-Clemente Edwin Chica |
| author_sort | Juan Camilo Pineda |
| collection | DOAJ |
| description | 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<sub>P</sub>): the number of blades (N), helix angle (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>), 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula> SST turbulence model and the sliding mesh method to perform unsteady flow simulations. The objective function was to achieve the maximum C<sub>P</sub>, which was obtained using a high-correlation quadratic mathematical model. Under the optimum conditions, where N, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>, and AR were 5, 78°, and 0.6, respectively, a C<sub>P</sub> value of 0.3072 was achieved. The optimal turbine geometry was validated through experimental testing, and the C<sub>P</sub> 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. |
| format | Article |
| id | doaj-art-bf1f5035151b4a2d9ebc2c9a7e9a65c1 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-bf1f5035151b4a2d9ebc2c9a7e9a65c12024-11-26T18:02:36ZengMDPI AGEnergies1996-10732024-11-011722574710.3390/en17225747Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental TestsJuan Camilo Pineda0Ainhoa Rubio-Clemente1Edwin Chica2Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, ColombiaGrupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, ColombiaGrupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, ColombiaThe 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<sub>P</sub>): the number of blades (N), helix angle (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>), 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula> SST turbulence model and the sliding mesh method to perform unsteady flow simulations. The objective function was to achieve the maximum C<sub>P</sub>, which was obtained using a high-correlation quadratic mathematical model. Under the optimum conditions, where N, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>, and AR were 5, 78°, and 0.6, respectively, a C<sub>P</sub> value of 0.3072 was achieved. The optimal turbine geometry was validated through experimental testing, and the C<sub>P</sub> 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.https://www.mdpi.com/1996-1073/17/22/5747computational fluid dynamicsresponse surface methodologyoptimizationGorlov helical turbinepower coefficient |
| spellingShingle | Juan Camilo Pineda Ainhoa Rubio-Clemente Edwin Chica Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests Energies computational fluid dynamics response surface methodology optimization Gorlov helical turbine power coefficient |
| title | Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests |
| title_full | Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests |
| title_fullStr | Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests |
| title_full_unstemmed | Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests |
| title_short | Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests |
| title_sort | optimization of a gorlov helical turbine for hydrokinetic application using the response surface methodology and experimental tests |
| topic | computational fluid dynamics response surface methodology optimization Gorlov helical turbine power coefficient |
| url | https://www.mdpi.com/1996-1073/17/22/5747 |
| work_keys_str_mv | AT juancamilopineda optimizationofagorlovhelicalturbineforhydrokineticapplicationusingtheresponsesurfacemethodologyandexperimentaltests AT ainhoarubioclemente optimizationofagorlovhelicalturbineforhydrokineticapplicationusingtheresponsesurfacemethodologyandexperimentaltests AT edwinchica optimizationofagorlovhelicalturbineforhydrokineticapplicationusingtheresponsesurfacemethodologyandexperimentaltests |