Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multi-Point Shape Optimization of a Horizontal Axis Tidal Stream Turbine

Version 1 : Received: 9 July 2021 / Approved: 12 July 2021 / Online: 12 July 2021 (12:26:14 CEST)

A peer-reviewed article of this Preprint also exists.

el Sheshtawy, H.; el Moctar, O.; Natarajan, S. Multi-Point Shape Optimization of a Horizontal Axis Tidal Stream Turbine. Eng 2021, 2, 340-355. el Sheshtawy, H.; el Moctar, O.; Natarajan, S. Multi-Point Shape Optimization of a Horizontal Axis Tidal Stream Turbine. Eng 2021, 2, 340-355.

Journal reference: Eng 2021, 2, 22
DOI: 10.3390/eng2030022

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 refrence hydrofoil profoil NACA 63815. Shape optimization of this hydrofoil maximized its lift-to-darg 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 varing the angle of attack on the quality of optimized results was also studied. predictions based on two-dimensional panel method results was also studied. Preditions based on a two-dimensional panel method and on a computational fluid dynamics code were compared to experimental measurments.

Keywords

Hydrofoil optimization; NSGA-II; CFD; XFOIL; NACA 63815; Bezier curve

Subject

ENGINEERING, Automotive Engineering

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