Abstract

This paper presents an optimization method for the structural design of horizontal-axis wind turbine (HAWT) blades based on the particle swarm optimization algorithm (PSO) combined with the finite element method (FEM). The main goal is to create an optimization tool and to demonstrate the potential improvements that could be brought to the structural design of HAWT blades. A multi-criteria constrained optimization design model pursued with respect to minimum mass of the blade is developed. The number and the location of layers in the spar cap and the positions of the shear webs are employed as the design variables, while the strain limit, blade/tower clearance limit and vibration limit are taken into account as the constraint conditions. The optimization of the design of a commercial 1.5 MW HAWT blade is carried out by combining the above method and design model under ultimate (extreme) flap-wise load conditions. The optimization results are described and compared with the original design. It shows that the method used in this study is efficient and produces improved designs.

Highlights

  • The blade is one of the most important components of wind turbines

  • This paper describes an optimization method for the structural design of horizontal-axis wind turbine (HAWT) blades

  • Two modules are used for this purpose: a particle swarm optimization algorithm (PSO) algorithm and a structural analysis model implementing finite element method (FEM)

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Summary

Introduction

The blade is one of the most important components of wind turbines. The structural design process has a decisive influence on the overall performance of the blade. The structural design of a HAWT blade involves many considerations such as strength, stability, cost and vibration [3]. Reducing the mass is a good measure for a successful design of blade. A lighter blade will exert lower loads on the remaining components of the wind turbine, and reduce the cost, which are beneficial for the entire turbine system, including the foundation. The recent approach results in material layup with high component thicknesses and blade mass often do not result in a satisfactory structural response. The process of structural optimization to reduce the blade mass is an important issue worthy of research

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