China Ocean Engineering

, Volume 33, Issue 4, pp 436–445 | Cite as

Optimization Study on the Blade Profiles of A Horizontal Axis Tidal Turbine Based on BEM-CFD Model

  • Da-hai Zhang
  • Lan Ding
  • Bin HuangEmail author
  • Xue-meng Chen
  • Jin-tao Liu


In order to increase the performance of horizontal tidal turbines, a multi-objective optimization model was proposed in this study. Firstly, the prediction model for horizontal tidal turbines was built, which coupled the blade element momentum (BEM) theory and the CFD calculation. Secondly, a multi-objective optimization method coupled the response surface method (RSM) with the multi-objective genetic algorithm NSGA-II was applied to obtain the optimal blade profiles. The pitch angle and the chord length distribution were chosen as the design variables, while the mean power coefficient and the variance of power coefficient were chosen as the objective functions. With the mean power coefficient improved by 4.1% and the variance of power coefficient decreased by 46.7%, results showed that both objective functions could be improved.

Key words

tidal turbine BEM-CFD multi-objective optimization power coefficient 


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Copyright information

© Chinese Ocean Engineering Society and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Da-hai Zhang
    • 1
  • Lan Ding
    • 1
  • Bin Huang
    • 1
    Email author
  • Xue-meng Chen
    • 1
  • Jin-tao Liu
    • 2
  1. 1.Ocean CollegeZhejiang UniversityZhoushanChina
  2. 2.Beijing Institute of Control EngineeringBeijingChina

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