Multi-objective optimization of airfoil shape for efficiency improvement and noise reduction in small wind turbines

2014 ◽  
Vol 6 (5) ◽  
pp. 053105 ◽  
Author(s):  
Sepehr Sanaye ◽  
Arash Hassanzadeh
Keyword(s):  
Noise Reduction ◽  
Wind Turbines ◽  
Efficiency Improvement ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Small Wind Turbines

Efficiency improvement study for small wind turbines through flow control

2014 ◽  
Vol 7 ◽  
pp. 195-208 ◽  
Author(s):  
Jasvipul S. Chawla ◽  
Shashikanth Suryanarayanan ◽  
Bhalchandra Puranik ◽  
John Sheridan ◽  
Brian G. Falzon
Keyword(s):  
Flow Control ◽  
Wind Turbines ◽  
Efficiency Improvement ◽  
Through Flow ◽  
Small Wind Turbines

Research on vibration and noise reduction of electric bus gearbox based on multi-objective optimization

2020 ◽  
Vol 158 ◽  
pp. 107037 ◽  
Author(s):  
Yulong Lei ◽  
Liguo Hou ◽  
Yao Fu ◽  
Jianlong Hu ◽  
Wei Chen
Keyword(s):  
Noise Reduction ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Electric Bus

Airfoil Optimization for Small Wind Turbines Using Multi Objective Genetic Algorithm

2012 ◽  
Author(s):  
Krishnil R. Ram ◽  
Sunil Lal ◽  
M. Rafiuddin Ahmed
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbines ◽  
Lift Coefficient ◽  
Geometric Constraints ◽  
Control Points ◽  
Airfoil Optimization ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Small Wind Turbines ◽  
Horizontal Axis Wind Turbines

Small wind turbines are gaining popularity due to their ability to meet community or domestic needs in isolated areas with relatively easier installation and lower cost than large wind turbines. This study looks at optimizing airfoils for use in small horizontal axis wind turbines. The optimization looks to maximize the lift coefficient (Cl) while minimizing or fixing the drag coefficient (Cd). To satisfy these two objectives a multi–objective genetic algorithm is used. The airfoil is parameterized using a composite Bezier curve with two Bezier segments and 11 control points. Appropriate curvature conditions are implemented at the leading and trailing edge of the airfoil and geometric constraints are applied to maintain the maximum thickness between 8% to 14% of the chord for structural reasons. An existing genetic algorithm (GA) code is modified in C++ to generate suitable airfoils using the 13 control points and pass the coordinates to a solver for analysis. As a result four new airfoils are generated for application in low Reynolds number (Re) flow. The characteristics and suitability of the four airfoils are discussed while comparing them to the popular SG6043 airfoil.

Analysis of the Efficiency Improvement in Small Wind Turbines when Speed Is Controlled

2007 ◽  
Author(s):  
F. Martinez Rodrigo ◽  
L.C. Herrero de Lucas ◽  
Santiago de Pablo Gomez ◽  
J.M. Gonzalez de la Fuente
Keyword(s):  
Wind Turbines ◽  
Efficiency Improvement ◽  
Small Wind Turbines
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