A novel and economic rotor hub configuration for small wind turbines

2021 ◽  
Vol 47 ◽  
pp. 101344
Author(s):  
Abbas Akbari Jouchi ◽  
Abolfazl Pourrajabian ◽  
Saeed Rahgozar ◽  
Maziar Dehghan
2012 ◽  
pp. 1083-1088
Author(s):  
O.H. Ando Junior ◽  
M.O. Oliveira ◽  
J.M. Neto ◽  
A.D. Spacek ◽  
R.C.B. Leborgne ◽  
...  

Author(s):  
Pedro Baracat ◽  
Célia Rosolen ◽  
Raquel Miguez de Carvalho ◽  
Kamal Ismail ◽  
Willian Okita ◽  
...  

2021 ◽  
Vol 45 ◽  
pp. 101165
Author(s):  
Jeroen D.M. De Kooning ◽  
Arash E. Samani ◽  
Simon De Zutter ◽  
Jeroen De Maeyer ◽  
Lieven Vandevelde

2021 ◽  
pp. 1-25
Author(s):  
K.A.R. Ismail ◽  
Willian Okita

Abstract Small wind turbines are adequate for electricity generation in isolated areas to promote local expansion of commercial activities and social inclusion. Blade element momentum (BEM) method is usually used for performance prediction, but generally produces overestimated predictions since the wake effects are not precisely accounted for. Lifting line theory (LLT) can represent the blade and wake effects more precisely. In the present investigation the two methods are analyzed and their predictions of the aerodynamic performance of small wind turbines are compared. Conducted simulations showed a computational time of about 149.32 s for the Gottingen GO 398 based rotor simulated by the BEM and 1007.7 s for simulation by the LLT. The analysis of the power coefficient showed a maximum difference between the predictions of the two methods of about 4.4% in the case of Gottingen GO 398 airfoil based rotor and 6.3% for simulations of the Joukowski J 0021 airfoil. In the case of the annual energy production a difference of 2.35% is found between the predictions of the two methods. The effects of the blade geometrical variants such as twist angle and chord distributions increase the numerical deviations between the two methods due to the big number of iterations in the case of LLT. The cases analyzed showed deviations between 3.4% and 4.1%. As a whole, the results showed good performance of both methods; however the lifting line theory provides more precise results and more information on the local flow over the rotor blades.


2021 ◽  
Author(s):  
Klaus Hochradel ◽  
Stefanie Hartmann ◽  
Hendrik Reers ◽  
Bruntje Luedtke ◽  
Horst Schauer-Weisshahn ◽  
...  

Author(s):  
Abolfazl Pourrajabian ◽  
Reza Ebrahimi ◽  
Masoud Mirzaei ◽  
Mehdi Ahmadizadeh ◽  
David Wood

Since the air density reduces as the altitude increases, operation of Small Wind Turbines (SWTs) which usually have no pitch mechanism, remains as a challengeable task at high altitudes due largely to the reduction of starting aerodynamic torque. By reducing the blades moment of inertia through the use of hollow blades, the study aims to mitigate that issue and speed up the starting. A three-bladed, 2 m diameter small horizontal axis wind turbine with hollow cross-section was designed for operating at two sites with altitude of 500 and 3,000 m. The design variables consist of distribution of the chord, twist and shell thickness along the blade. The blade-element momentum theory was employed to calculate the output power and starting time and, the beam theory was used for the structural analysis to investigate whether the hollow blades could withstand the aerodynamic and centrifugal forces. A combination of the starting time and the output power was included in an objective function and then, the genetic algorithm was used to find a blade for which the output power and the starting performance, the goals of the objective function, are high while the stress limitation, the objective function constraint, is also met. While the resultant stresses remain below the allowable stress, results show that the performance of the hollow blades is far better than the solid ones such that their starting time is shorter than the solid blades by approximately 70%. However, in the presence of the generator resistive torque, the algorithm could not find the blade for the altitude near to 3000 m. To solve that problem, the tip speed ratio of the turbine was added to other design variables and another optimization process was done which led to the optimal blades not only for the lower altitude but also for the higher one.


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