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Ocean Systems Engineering Volume 9, Number 2, June 2019 , pages 111-133 DOI: https://doi.org/10.12989/ose.2019.9.2.111 |
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Optimization of a horizontal axis marine current turbine via surrogate models |
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Karthikeyan Thandayutham, E.J. Avital,
Nithya Venkatesan and Abdus Samad
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| Abstract | ||
| Flow through a scaled horizontal axis marine current turbine was numerically simulated after validation and the turbine design was optimized. The computational fluid dynamics (CFD) code Ansys-CFX 16.1 for numerical modeling, an in-house blade element momentum (BEM) code for analytical modeling and an in-house surrogate-based optimization (SBO) code were used to find an optimal turbine design. The blade-pitch angle (o) and the number of rotor blades (NR) were taken as design variables. A single objective optimization approach was utilized in the present work. The defined objective function was the turbine\'s power coefficient (Cp). A 3x3 full-factorial sampling technique was used to define the sample space. This sampling technique gave different turbine designs, which were further evaluated for the objective function by solving the Reynolds-Averaged Navier–Stokes equations (RANS). Finally, the SBO technique with search algorithm produced an optimal design. It is found that the optimal design has improved the objective function by 26.5%. This article presents the solution approach, analysis of the turbine flow field and the predictability of various surrogate based techniques. | ||
| Key Words | ||
| marine current turbine; CFD; BEM; single objective optimization; surrogate modeling | ||
| Address | ||
| Karthikeyan Thandayutham and Abdus Samad: Wave Energy and Fluids Engineering Laboratory (WEFEL),Department of Ocean Engineering, Indian Institute of Technology Madras, Chennai, India E.J. Avital : School of Engineering and Material Science, Queen Mary University of London, London, U.K. Nithya Venkatesan: School of Electrical Engineering, VIT University, Chennai, India | ||
