Neural Computing and Applications

, Volume 31, Supplement 2, pp 1211–1223 | Cite as

Optimum section selection procedure for horizontal axis tidal stream turbines

  • Mojtaba TahaniEmail author
  • Narek BabayanEmail author
Original Article


Stochastic behavior of renewable energy sources forces designers to optimize the energy converters for the purpose of capturing the maximum amount of available energy. The performance of horizontal axis wind and tidal turbines mainly depends on the geometrical properties such as chord and twist distributions and also the types of sections which are utilized along the blade. The purpose of presented paper is introducing a procedure which can be utilized in order to select the optimum sections for horizontal axis tidal turbines for the purpose of increasing the turbine performance. The presented procedure also can be applied for horizontal axis wind turbines. For the purpose of evaluating the performance of the proposed method, two design types (chord and twist distributions) of tidal turbines are selected as case studies. Power coefficient is considered as objective function, and three types of hydrofoils namely NACA63-8xx, NACA44xx, and RISO-A1-xx are selected as candidate solutions. A blade element momentum theory model is used for calculating the power coefficient. The discrete ant colony optimization algorithm is selected as optimization tool. The results indicate that the utilization of the proposed method will considerably decrease the required process time for obtaining the optimum sections across the blade span, and also it is shown that using different types of sections across the blade span can increase the power coefficient of the turbine. The importance of the proposed method will be significant when various types of hydrofoils and airfoils can be considered as candidate sections across the blade span.


Turbine Blade section BEM Ant colony optimization 

List of symbols


Angle of attack (°)


Number of blades


Drag coefficient


Lift coefficient


Power coefficient


Torque (N.m)


Radius (m)


Tip speed ratio


Free stream velocity (m/s)


Relative velocity (m/s)


Axial induction factor/degree of importance of pheromone


Tangential induction factor


A control parameter in increasing pheromone intensity


Chord (m)/evaporation rate controller


Tip loss factor


Local radius (m)


Rotational speed (rad/s)


Tip speed ratio


Density (kg/m3)




Pheromone intensity


Local inflow angle (°)

Subscripts and superscripts


Local property














Local property


Compliance with ethical standards

Conflict of interests

The authors declare that they have no conflict of interests.


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Copyright information

© The Natural Computing Applications Forum 2017

Authors and Affiliations

  1. 1.Faculty of New Sciences and TechnologiesUniversity of TehranTehranIran

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