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http://dx.doi.org/10.12989/ose.2019.9.2.111

Optimization of a horizontal axis marine current turbine via surrogate models  

Thandayutham, Karthikeyan (Wave Energy and Fluids Engineering Laboratory (WEFEL), Department of Ocean Engineering, Indian Institute of Technology Madras)
Avital, E.J. (School of Engineering and Material Science, Queen Mary University of London)
Venkatesan, Nithya (School of Electrical Engineering, VIT University)
Samad, Abdus (Wave Energy and Fluids Engineering Laboratory (WEFEL), Department of Ocean Engineering, Indian Institute of Technology Madras)
Publication Information
Ocean Systems Engineering / v.9, no.2, 2019 , pp. 111-133 More about this Journal
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 (${\theta}$) 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 ($C_P$). A $3{\times}3$ 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.
Keywords
marine current turbine; CFD; BEM; single objective optimization; surrogate modeling;
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