TY - JOUR
T1 - Design and performance analysis of a tidal ducted turbine considering rotor-duct interaction
AU - Mei, Yunlei
AU - Jing, Fengmei
AU - Wang, Xinru
AU - Guo, Bin
AU - Wang, Song
AU - Lu, Qiang
N1 - Publisher Copyright:
© 2025
PY - 2025/5/15
Y1 - 2025/5/15
N2 - This paper constructs a multi-objective optimization design method for ducted turbines by combining Computational Fluid Dynamics with Response Surface Methodology and NSGA-II algorithm. The optimization objectives is to achieve the maximum power coefficient. The design variables include the duct angle, duct length, tip clearance, and rotor axial position. Firstly, a simulation model of the ducted turbine was established and validated through experimental data from a towing tank. Secondly, a regression equation between the duct structure design variables and the optimization objectives was constructed using response surface methodology. Finally, the NSGA-II algorithm was employed to optimize the objectives, and the hydrodynamic and flow field characteristics of the ducted turbine were analyzed. The results indicate that the maximum CP value of the ducted turbine reached 0.791, representing a 104.9% increase compared to the open turbine. In addition, the kinetic energy of the wake of the ducted turbine is lower, and its near-field wake velocity deficit is 44.05% higher than that of the open turbine. Due to the interaction between the duct-shedding vortex and the blade tip vortex, the diffusion range of the ducted turbine wake is broader, and the wake recovery is faster. At the downstream 7D, the degree of wake recovery is basically consistent with that of the open turbine. Finally, the duct alters the operating conditions of the blades. In the future, the blades can be optimized based on the radial flow distribution within the duct, which will further enhance the output power.
AB - This paper constructs a multi-objective optimization design method for ducted turbines by combining Computational Fluid Dynamics with Response Surface Methodology and NSGA-II algorithm. The optimization objectives is to achieve the maximum power coefficient. The design variables include the duct angle, duct length, tip clearance, and rotor axial position. Firstly, a simulation model of the ducted turbine was established and validated through experimental data from a towing tank. Secondly, a regression equation between the duct structure design variables and the optimization objectives was constructed using response surface methodology. Finally, the NSGA-II algorithm was employed to optimize the objectives, and the hydrodynamic and flow field characteristics of the ducted turbine were analyzed. The results indicate that the maximum CP value of the ducted turbine reached 0.791, representing a 104.9% increase compared to the open turbine. In addition, the kinetic energy of the wake of the ducted turbine is lower, and its near-field wake velocity deficit is 44.05% higher than that of the open turbine. Due to the interaction between the duct-shedding vortex and the blade tip vortex, the diffusion range of the ducted turbine wake is broader, and the wake recovery is faster. At the downstream 7D, the degree of wake recovery is basically consistent with that of the open turbine. Finally, the duct alters the operating conditions of the blades. In the future, the blades can be optimized based on the radial flow distribution within the duct, which will further enhance the output power.
KW - Computational fluid dynamics
KW - Ducted turbine
KW - Hydrodynamics
KW - Response surface methodology
KW - Tidal current energy
UR - http://www.scopus.com/inward/record.url?scp=105000966232&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2025.119758
DO - 10.1016/j.enconman.2025.119758
M3 - Article
AN - SCOPUS:105000966232
SN - 0196-8904
VL - 332
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 119758
ER -