Wind Blade Chord and Twist Angle Optimization Using Genetic Algorithms

Méndez, Jabid Eduardo Quiroga; Greiner, David

doi:10.4203/ccp.84.59

Cited by 25 publications

(33 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The shape and thickness of the structure were fixed and the problem dealt entirely with the design of the lay-up of the composite laminate. Méndez and Greiner [2006] used a genetic algorithm to obtain optimal chord and twist distributions in wind turbine blades to maximize the mean expected power depending on the Weibull wind distribution at a specific site. Lee et al [2007] studied blade shape optimization to obtain the maximum average annual power for a given offshore wind farm.…”

Section: Rotor Design Studiesmentioning

confidence: 99%

Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

et al. 2014

View full text Add to dashboard Cite

This paper presents a method for multidisciplinary design optimization of offshore wind turbines at system level. The formulation and implementation that enable the integrated aerodynamic and structural design of the rotor and tower simultaneously are detailed. The objective function to be minimized is the levelized cost of energy. The model includes various design constraints: stresses, deflections, modal frequencies and fatigue limits along different stations of the blade and tower. The rotor design variables are: chord and twist distribution, blade length, rated rotational speed and structural thicknesses along the span. The tower design variables are: tower thickness and diameter distribution, as well as the tower height. For the other wind turbine components, a representative mass model is used to include their dynamic interactions in the system. To calculate the system costs, representative cost models of a wind turbine located in an offshore wind farm are used. To show the potential of the method and to verify its usefulness, the 5 MW NREL wind turbine is used as a case study. The result of the design optimization process shows 2.3% decrease in the levelized cost of energy for a representative Dutch site, while satisfying all the design constraints.

show abstract

Section: Rotor Design Studiesmentioning

confidence: 99%

Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Compared with the inverse design method [3][4][5][6][7], it is more convenient to use the direct numerical optimization method [11,20,[27][28][29][30] to solve multi-point optimization problems. Therefore, this paper chooses the direct method to achieve multi-point optimization for VSWT blades.…”

Section: The Multi-point Optimization Methods Considering the Maximum mentioning

confidence: 99%

“…It has been widely used for aerodynamic optimization of wind turbine blades [27][28][29][30]. In this work, the solver "ga-Genetic Algorithm" in the MATLAB optimization toolbox is applied to search the global optimal solution that maximizes the objective function.…”

Section: Optimization Schemementioning

confidence: 99%

A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades

Yang

Zhang

et al. 2016

Energies

View full text Add to dashboard Cite

Due to the dynamic process of maximum power point tracking (MPPT) caused by turbulence and large rotor inertia, variable-speed wind turbines (VSWTs) cannot maintain the optimal tip speed ratio (TSR) from cut-in wind speed up to the rated speed. Therefore, in order to increase the total captured wind energy, the existing aerodynamic design for VSWT blades, which only focuses on performance improvement at a single TSR, needs to be improved to a multi-point design. In this paper, based on a closed-loop system of VSWTs, including turbulent wind, rotor, drive train and MPPT controller, the distribution of operational TSR and its description based on inflow wind energy are investigated. Moreover, a multi-point method considering the MPPT dynamic process for the aerodynamic optimization of VSWT blades is proposed. In the proposed method, the distribution of operational TSR is obtained through a dynamic simulation of the closed-loop system under a specific turbulent wind, and accordingly the multiple design TSRs and the corresponding weighting coefficients in the objective function are determined. Finally, using the blade of a National Renewable Energy Laboratory (NREL) 1.5 MW wind turbine as the baseline, the proposed method is compared with the conventional single-point optimization method using the commercial software Bladed. Simulation results verify the effectiveness of the proposed method.

show abstract

“…Evolutionary optimization algorithms with embedded aerodynamic simulators were also utilized for multi-objective blade shape optimization. [3][4][5][6] Many different control strategies for wind turbines were considered in previous research. Muljadi et al 7 evaluated the variable speed, fixed-pitch control (VS-FP) strategy to maximize efficiency under varying wind speed conditions.…”

Section: Introductionmentioning

confidence: 99%

A design and optimization method for matching the torque of the wind turbines

Al-Abadi

Ertunç

Weber

et al. 2015

Journal of Renewable and Sustainable Energy

View full text Add to dashboard Cite

Due to copyright restrictions, the access to the full text of this article is only available via subscription.An aerodynamic shape optimization method for a horizontal axis wind turbine is developed and verified through experimentation with a laboratory-scale wind turbine. Our method is based on matching the rotor's and the coupled generator's torque. Prior to shape optimization, an initial rotor design is established with a hybrid use of Schmitz and blade element momentum theories. The experimental verification of the developed method is conducted with a small-scale wind turbine; thus, the operating Reynolds number is one order of magnitude lower than large-scale wind turbines. Therefore, a high-lift low-Re airfoil, namely, SG6043, is selected for the blade along the whole span. The shape is optimized by determining the optimum chord and cumulative pitch angle distributions by manipulating the tapering and twisting of the blade. The objective of the optimization is to maximize the turbine's power coefficient Cp , while maintaining the torque equal to that of the generator. The generator's characteristics are found through experimentations which are conducted apart from the wind tunnel experiments. During the optimization process, the local aerodynamic forces on the blade are calculated by interfacing the optimization program with XFOIL; thus, the torque and power can be calculated for the rotor at each iteration step. The optimized turbine performance is evaluated under a design and off-design operating condition. The performance verification experiments are carried out in the wind tunnel with a specially designed setup. A comparison of the measured and computed performance shows good agreement

show abstract

Wind Blade Chord and Twist Angle Optimization Using Genetic Algorithms

Cited by 25 publications

References 4 publications

Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades

A design and optimization method for matching the torque of the wind turbines

Contact Info

Product

Resources

About