Optimization of a horizontal axis marine current turbine via surrogate models

Thandayutham, Karthikeyan;Avital, E.J.;Venkatesan, Nithya;Samad, Abdus

  • Received : 2018.12.12
  • Accepted : 2019.05.10
  • Published : 2019.06.25


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.


marine current turbine;CFD;BEM;single objective optimization;surrogate modeling


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Supported by : UK India Education and Research Initiative (UKIERE)