Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach
This study explores the design and optimisation of a horizontal-axis hydrokinetic turbine tailored to the unique flow conditions of the Ganga River, addressing a critical gap in deploying such technologies within the Indian subcontinent. The novelty lies in a rigorous multi-stage methodology, site-s...
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| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Sustainable Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19397038.2025.2526404 |
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| author | Kripal Anoop Kanjirakat |
| author_facet | Kripal Anoop Kanjirakat |
| author_sort | Kripal |
| collection | DOAJ |
| description | This study explores the design and optimisation of a horizontal-axis hydrokinetic turbine tailored to the unique flow conditions of the Ganga River, addressing a critical gap in deploying such technologies within the Indian subcontinent. The novelty lies in a rigorous multi-stage methodology, site-specific flow analysis, comparative hydrofoil evaluation of predominantly used profiles, cavitation safety assessment, and exploration of a swept blade approach to enhance performance. The research aims to improve efficiency and maximise annual energy production by offering a sustainable, low-impact alternative to traditional hydroelectric systems, ultimately achieving an output of 3569 kWh/year. Among 20 hydrofoil candidates evaluated, the SG 6043 and NACA 63–818 were identified as optimal in terms of lift-to-drag performance. SG 6043 was selected based on superior cavitation resistance, an essential criterion in hydrokinetic turbine design. The turbine configuration was determined using a rotor optimisation tool integrating a genetic algorithm with a semi-analytical blade-element momentum theory. This enabled identification of an optimal configuration ensuring an efficient power curve while maintaining sufficient cavitation safety margin. Additionally, the investigation revealed that the swept blade design did not yield performance benefits under the given site-specific conditions. |
| format | Article |
| id | doaj-art-36951aec83b6468c8bbee0710f4d10b3 |
| institution | DOAJ |
| issn | 1939-7038 1939-7046 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Sustainable Engineering |
| spelling | doaj-art-36951aec83b6468c8bbee0710f4d10b32025-08-20T03:11:51ZengTaylor & Francis GroupInternational Journal of Sustainable Engineering1939-70381939-70462025-12-0118110.1080/19397038.2025.2526404Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approachKripal0Anoop Kanjirakat1Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, IndiaDepartment of Aeronautical and Automobile Engineering, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, IndiaThis study explores the design and optimisation of a horizontal-axis hydrokinetic turbine tailored to the unique flow conditions of the Ganga River, addressing a critical gap in deploying such technologies within the Indian subcontinent. The novelty lies in a rigorous multi-stage methodology, site-specific flow analysis, comparative hydrofoil evaluation of predominantly used profiles, cavitation safety assessment, and exploration of a swept blade approach to enhance performance. The research aims to improve efficiency and maximise annual energy production by offering a sustainable, low-impact alternative to traditional hydroelectric systems, ultimately achieving an output of 3569 kWh/year. Among 20 hydrofoil candidates evaluated, the SG 6043 and NACA 63–818 were identified as optimal in terms of lift-to-drag performance. SG 6043 was selected based on superior cavitation resistance, an essential criterion in hydrokinetic turbine design. The turbine configuration was determined using a rotor optimisation tool integrating a genetic algorithm with a semi-analytical blade-element momentum theory. This enabled identification of an optimal configuration ensuring an efficient power curve while maintaining sufficient cavitation safety margin. Additionally, the investigation revealed that the swept blade design did not yield performance benefits under the given site-specific conditions.https://www.tandfonline.com/doi/10.1080/19397038.2025.2526404Renewable energyhydrokinetic turbinecavitationswept blade design |
| spellingShingle | Kripal Anoop Kanjirakat Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach International Journal of Sustainable Engineering Renewable energy hydrokinetic turbine cavitation swept blade design |
| title | Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach |
| title_full | Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach |
| title_fullStr | Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach |
| title_full_unstemmed | Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach |
| title_short | Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach |
| title_sort | hydrodynamic optimisation of a horizontal axis hydrokinetic turbine for the river ganga using a semi analytical approach |
| topic | Renewable energy hydrokinetic turbine cavitation swept blade design |
| url | https://www.tandfonline.com/doi/10.1080/19397038.2025.2526404 |
| work_keys_str_mv | AT kripal hydrodynamicoptimisationofahorizontalaxishydrokineticturbinefortherivergangausingasemianalyticalapproach AT anoopkanjirakat hydrodynamicoptimisationofahorizontalaxishydrokineticturbinefortherivergangausingasemianalyticalapproach |