01/06/2019 Engineering Geology
DOI: 10.12989/OSE.2019.9.2.111 SemanticScholar ID: 202918503 MAG: 2971091546

Optimization of a horizontal axis marine current turbine via surrogate models

Publication Summary

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 (θ) 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.

CAER Authors

Avatar Image for Eldad Avital

Dr. Eldad Avital

Queen Mary University of London - Reader in Computational (& Experimental) Fluids and Acoustics

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