Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Kumar, Parveen; Bensingh, R. Joseph; Abraham, Annie

doi:10.5402/2012/939878

Cited by 15 publications

(14 citation statements)

References 8 publications

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“…The performed experiments proved that a lower pitch angle leads to a higher starting velocity and to increased power and speed of the turbine. The best testing results were obtained in the following conditions: -the rotors "share" the total power (when the front rotor operates at a lower C p than the maximum power coefficient), as also demonstrated in the research project [27], which analysed the operation of a real scale CRWT system of 1 kW;…”

Section: Resultsmentioning

confidence: 75%

Increasing energy efficiency of counter-rotating wind turbines by experimental modelling

Circiumaru¹,

Chihaia²,

Tănase³

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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With the significant advance in exploiting wind energy, there has been a shift in research from the study of conventional systems to the study of counter-rotating systems due to additional energy input of the second rotor. The paper presents the results of the research on achieving an increase in the energy efficiency of counter-rotating wind power conversion systems. For this purpose, there have been designed different sizes of wind rotors, were 3D printed and tested in an open-circuit aerodynamic tunnel for different wind velocities and axial distances between rotors. The constructive design consisting of a smaller diameter front rotor and a larger rear rotor was chosen. The individual wind rotors were used to configure two experimental models of counter-rotating wind systems. The testing results analysis and interpretation enabled the establishing of the design and operating conditions that provide the highest power extracted from wind at 10 m/s velocity. A higher efficiency of the wind turbine system is achieved for a lower ratio between the front and rear turbines. In the case of the analysed experimental models, an increase in system efficiency of 49.14% is achieved for a 0.845 diameter ratio, and of 39.02% for 0.945 diameter ratio, respectively.

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Section: Resultsmentioning

confidence: 75%

Increasing energy efficiency of counter-rotating wind turbines by experimental modelling

Circiumaru¹,

Chihaia²,

Tănase³

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…The numerical approach by CFD (computational fluid dynamics) simulation successfully analyzed 3D (threedimensional) flow phenomena at CRWT through the assumption of certain turbulence intensities in CRWT rotor inflow. Kumar et al (2012Kumar et al ( , 2013 used the standard k-e turbulence model and the standard k-ω shear stress transport turbulence model in a cylindrical domain of CRWT using tetrahedral mesh have good agreement with experiment. Hoang & Yang (2013) used shear stress transport (SST) turbulence model in the periodicity of the 120 o computational domain of CRWT using hex mesh.…”

Section: Numerical Models and Turbulent Modelsmentioning

confidence: 87%

Numerical Analysis on Aerodynamic Performance of Counter-rotating Wind Turbine through Rear Rotor Configuration

Koehuan¹,

Sugiyono²,

Kamal³

2019

MAS

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Numerical analysis was conducted on the aerodynamic performance and the flow characteristics around the counter-rotating wind turbine or CRWT blade through rear rotor configuration using various rotor diameter ratios and distance ratios to the turbine blade through a CFD (Computational Fluid Dynamics) simulation. CFD simulation showed the normalized power coefficients of the front rotor, rear rotor, and combined rotor (CRWT) to the single rotor with a strong influence of the rear rotor configuration with the addition of tip speed ratio (TSR). A larger average normalized power coefficient takes place at D1/D2=1.0 with L/D1=0.75 by 1.221. It is about 22.1% increased to the SRWT for the given TSR range. Axial velocity contours and resultant velocity vectors around the CRWT blade with a diameter ratio of D1/D2 > 1.0 and a closer rotor distance provide a stronger bound vortex and strong separation around the rear hub blade with a tendency to increase from the hub to the tip blade at low TSR. The higher the TSR, the movement of tip vortex moves closer to the rear tip blade which has the effect of increasing the leakage flow in the area of D1/D2 < 1.0.

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“…A standard K-SST turbulence model was used for the computational evaluation. The results displayed that, for a 10 m s −1 rise in wind speed, there was about a 10 % increase in power of the wind turbine (Kumar et al, 2013). Ashrafi et al (2015) increased the power coefficient parameter for a horizontal axis wind turbine with 200 KW power generation.…”

Section: Literature Surveymentioning

confidence: 97%

Horizontal axis wind turbine modelling and data analysis by multilinear regression

Tittus

Diaz²

2020

Mech. Sci.

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Abstract. The modelling of each horizontal axis wind turbine (HAWT) differs due to variation in operating conditions, dynamic parameters, and components. Thus, the choice of profiles also varies for specific applications. So for the better choice of profiles, the wind turbine performance is analysed for different parameters and working conditions. The efficiency of HAWTs mainly depends on the blade, which in turn is related to the profile of the blade, blade orientation, and tip size. Hence, the main aim of the present work is to evaluate the performance of HAWTs for three different blade tip sizes and six different blade twist angles for three major NACA (National Advisory Committee for Aeronautics) airfoils. A statistical analysis is also carried out to find the influence of different performance parameters such as drag, lift, vorticity, and normal force. The static design parameters are considered based on the available literature. A three-bladed offshore HAWT is adopted as the research object in the study. Data visualization using star glyphs and sunray plots is performed, along with multilinear regression analysis. From the multilinear regression analysis and reliable empirical correlations, it is known that drag coefficient and lift coefficient parameters have less significance in contrast to the other parameters which have more significance in the regression model. The different results obtained in terms of parametric coefficients provide an effective way to generate appropriate airfoil profiles for given HAWTs. Thus, the study helps to achieve better turbine performance, and it serves as a benchmark for future studies on HAWTs.

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Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Cited by 15 publications

References 8 publications

Increasing energy efficiency of counter-rotating wind turbines by experimental modelling

Increasing energy efficiency of counter-rotating wind turbines by experimental modelling

Numerical Analysis on Aerodynamic Performance of Counter-rotating Wind Turbine through Rear Rotor Configuration

Horizontal axis wind turbine modelling and data analysis by multilinear regression

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