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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.13492 |
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| _version_ | 1866910706092212224 |
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| author | Park, Jeongbin Mangano, Marco Seraj, Sabet Pacini, Bernardo Liao, Yingqian Knight, Bradford G. Naik, Kartik Maki, Kevin J. Martins, Joaquim R. R. A. Sun, Jing Pan, Yulin |
| author_facet | Park, Jeongbin Mangano, Marco Seraj, Sabet Pacini, Bernardo Liao, Yingqian Knight, Bradford G. Naik, Kartik Maki, Kevin J. Martins, Joaquim R. R. A. Sun, Jing Pan, Yulin |
| contents | Ducted hydrokinetic turbines enhance energy-harvesting efficiency by better conditioning the flow to the blades, which may yield higher power output than conventional freestream turbines for the same reference area. In this work, we present a ducted hydrokinetic turbine design obtained by simultaneously optimizing the duct, blade, and hub geometries. Our optimization framework combines a CFD solver, an adjoint solver, and a gradient-based optimizer to efficiently explore a large design space, together with a feature-based parameterization method to handle the complex geometry. Practical geometrical constraints ensure the manufacturability of the duct in terms of a minimum thickness and the housing of a 5 kW generator within the hub. The optimization converges to a short, thin duct with a rounded leading edge and an elongated hub protruding the duct inlet. The optimized ducted turbine achieves up to 50% efficiency when evaluated by RANS/URANS solvers despite a bulky hub, outperforming the 45% efficiency of the freestream Bahaj turbine featuring the same hub. This work showcases the effectiveness of CFD-based optimization in advancing ducted turbine designs and demonstrates the hydrodynamic benefits of a ducted configuration, paving the way for future research and real-world applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_13492 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CFD-based design optimization of a 5 kW ducted hydrokinetic turbine with practical constraints Park, Jeongbin Mangano, Marco Seraj, Sabet Pacini, Bernardo Liao, Yingqian Knight, Bradford G. Naik, Kartik Maki, Kevin J. Martins, Joaquim R. R. A. Sun, Jing Pan, Yulin Fluid Dynamics Ducted hydrokinetic turbines enhance energy-harvesting efficiency by better conditioning the flow to the blades, which may yield higher power output than conventional freestream turbines for the same reference area. In this work, we present a ducted hydrokinetic turbine design obtained by simultaneously optimizing the duct, blade, and hub geometries. Our optimization framework combines a CFD solver, an adjoint solver, and a gradient-based optimizer to efficiently explore a large design space, together with a feature-based parameterization method to handle the complex geometry. Practical geometrical constraints ensure the manufacturability of the duct in terms of a minimum thickness and the housing of a 5 kW generator within the hub. The optimization converges to a short, thin duct with a rounded leading edge and an elongated hub protruding the duct inlet. The optimized ducted turbine achieves up to 50% efficiency when evaluated by RANS/URANS solvers despite a bulky hub, outperforming the 45% efficiency of the freestream Bahaj turbine featuring the same hub. This work showcases the effectiveness of CFD-based optimization in advancing ducted turbine designs and demonstrates the hydrodynamic benefits of a ducted configuration, paving the way for future research and real-world applications. |
| title | CFD-based design optimization of a 5 kW ducted hydrokinetic turbine with practical constraints |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2411.13492 |