Abstract
A method was developed to perform shape optimization of a tidal stream turbine hydrofoil using a multi-objective genetic algorithm. A bezier curve parameterized the reference hydrofoil profile NACA 63815. Shape optimization of this hydrofoil maximized its lift-to-drag ratio and minimized its pressure coefficient, thereby increasing the turbines power output power and improving its cavitation characteristics. The Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) was employed to perform the shape optimization. A comparative study of two- and three-dimensional optimizations was carried out. The effect of varying the angle of attack on the quality of optimized results was also studied. Predictions based on two-dimensional panel method results were also studied. Predictions based on a two-dimensional panel method and on a computational fluid dynamics code were compared to experimental measurements.
Highlights
Optimization of a Horizontal AxisThe demand for renewable energy has been increasing over the previous decade.Renewable energy resources are available in various forms; one of them is tidal energy.Tidal energy can be harnessed in a number of ways, one being the use of tidal stream turbines
We developed a new code for two- and three-dimensional shape optimizations based on the Elitist Non-dominated Sorting Genatic Algorithm (NSGA-2), using the code of [21] as the starting point
NACA 63815 was taken as a reference hydrofoil
Summary
The demand for renewable energy has been increasing over the previous decade. Renewable energy resources are available in various forms; one of them is tidal energy. Paolo et al [9] optimized marine propeller hydrofoils by taking into account the effect of cavitation They parameterized the hydrofoil using B-Splines [10] and carried out shape optimization using NSGA-2 [11] to widen the cavitation bucket of parent hydrofoil and to maximize L/D ratio. Luo et al [6] optimized the shape of a hydrofoil for marine current turbines to increase its L/D ratio and to improve its cavitation performance over a wide range of AOA. They parameterized the hydrofoil using Bezier curve and carried out optimization by employing NSGA-2. We investigated the effect of angle of attack on the quality of optimization results
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