Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code

Ram, Krishnil R.; Lal, Sunder; Ahmed, M. Rafiuddin

doi:10.1016/j.renene.2018.08.040

Cited by 48 publications

(17 citation statements)

References 20 publications

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“…For structural reasons, a thicker airfoil is typically used closer to the blade root, while a thinner airfoil is used along the tip area as it is distributed smoothly from the root to the tip. Krishnil et al [10] had applied a single airfoil, which differs from the large commercial blades currently in use; in general, large blades have 5 to 7 airfoil applications. In this paper, six types of airfoils are used, including the NACA and DU series, and especially, NACA 64-618 is considered as an airfoil at the tip.…”

Section: Initial Blade Designmentioning

confidence: 99%

“…Wei et al [9] presented an integrated method for designing the airfoil families of large wind turbine blades. Krishnil et al [10] designed and optimized airfoils for a 20 kW wind turbine using a multi-objective genetic algorithm. In addition, in relation to the optimization of the blade design, many studies have already been conducted in helicopter and aeronautical engineering fields.…”

Section: Introductionmentioning

confidence: 99%

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Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Lee

Shin

2020

Energies

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Within the framework of blade aerodynamic design, the maximum aerodynamic efficiency, power production, and minimum thrust force are the targets to obtain. This paper describes an improved optimization framework for blade aerodynamic design under realistic conditions, while considering multiple design parameters. The relationship between the objective function and the design parameters, such as the chord length, maximum chord, and twist angle, were obtained by using the second-order response surface methodology (RSM). Moreover, the identified parameters were organized to optimize the aerodynamic design of the blades. Furthermore, the initial and optimized blade geometries were compared and showed that the performance of the optimized blade improved significantly. In fact, the efficiency was increased by approximately 10%, although its thrust was not varied. In addition, to demonstrate the improvement in the resulting optimized blades, the annual energy production (AEP) was estimated when installed in a specific regional location. The result showed a significant improvement when compared to the baseline blades. This result will be extended to a new perspective approach for a more robust optimal design of a wind turbine blade.

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Section: Initial Blade Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Lee

Shin

2020

Energies

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“…Zhu, Shen, and Sørensen (2014) presented an integrated method of designing the aerofoil families of large wind turbine blades using the BEMT. Krishnil et al (2018) designed and optimized the aerofoils for a 20 kW wind turbine using the multi-objective genetic algorithm. Vincent et al (2017) adopted the BEMT and the blade span to estimate the aerodynamic performance of the turbine and to optimize the horizontal axis wind turbine blade.…”

Section: Introductionmentioning

confidence: 99%

Structural design optimization of a wind turbine blade using the genetic algorithm

Lee

Shin

2021

Engineering Optimization

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With the increasing size of wind turbines in terms of their dimensions and capacity, structural design optimization for their blades is becoming all the more important. This study suggests an improved optimization framework. Blade optimization is performed in two stages: the ply lay-up pattern of the spar cap in the initial blade configuration based on the existing configuration, followed by the cross-sectional design optimization at several spanwise locations. The genetic algorithm is adopted and, in terms of the structural integrity evaluation, the final configuration results are found to be safe; in addition, the number of plies in the spar cap rapidly decreases through the two-stage design optimization procedure. As a result, the blade is lighter, and the lighter blade also reduces the applied load on the wind turbine. This will have an excellent effect that leads to a reduction in the weight of the entire turbine system.

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“…Wen et al (2019) designed an airfoil based on the S809 airfoil by using the artificial neural network to reduce the optimization time, and the calculated results indicated that the new airfoil has better lift force characteristics compared with the original airfoil. Ram et al (2019) generated airfoils for a 20kW wind turbine by using multi-objective genetic algorithm method, and an USP07-45xx family of airfoil was designed to achieve maximum lift/drag ratio from 4 to 10°angle of attack. Li et al (2020) proposed an optimization method to design wind turbine airfoil at low wind velocity.…”

Section: Introductionmentioning

confidence: 99%

A new airfoil design method for wind turbine to improve maximum lift of airfoil

Qing

2021

Wind Engineering

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A new wind turbine airfoil design method is established. This method generates an airfoil by fusing different airfoils. The airfoil designed by this method could restrict the airflow separation near the trailing edge of airfoil at high angle of attack, meanwhile the turbulence also is restricted. As a result, the maximum lift force is increased about 16.4% at high angle of attack. Meanwhile, the drag force is decreased about 31.3%. By analyzing the influence of scale factor and rotation angle on the airfoil aerodynamic force characteristics, the simulated results indicate that the larger scale factor and rotation angle could increase the lift stall angle and the maximum lift force. Therefore, this method could be used for designing wind turbine airfoil with high maximum lift force characteristics.

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Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code

Cited by 48 publications

References 20 publications

Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Structural design optimization of a wind turbine blade using the genetic algorithm

A new airfoil design method for wind turbine to improve maximum lift of airfoil

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Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code

Cited by 48 publications

References 20 publications

Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Structural design optimization of a wind turbine blade using the genetic algorithm

A new airfoil design method for wind turbine to improve maximum lift of airfoil

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Product

Resources

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Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code