Aero-acoustics noise assessment for Wind-Lens turbine

Hashem, Islam; Mohamed, Mohamed H.; Hafiz, A.A.

doi:10.1016/j.energy.2016.12.049

Cited by 37 publications

(12 citation statements)

References 22 publications

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“…ese techniques ware utilized in various applications by one of the authors of this paper in the drag and lift vertical turbines [15][16][17][18][19]. Calì et al [20] offered a method that enhanced recognizing of the influences of panel arrangements and fibre orientations on sail performances.…”

Section: Methodology and Model Validationmentioning

confidence: 99%

Aerodynamic Forces Affecting the H-Rotor Darrieus Wind Turbine

Alqurashi

Mohamed

2020

Modelling and Simulation in Engineering

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Darrieus wind rotor is a vertical axis wind turbine that is a very promising kind of wind converters at remote and domestic locations that have soft and weak wind potential and speed, but from the quantitative comparison with horizontal axis wind turbines, this type of turbines has a weak performance. Additional researches are still needed to develop its efficiency to identify all the requirements of the generated power in low power demands. The aim of the current investigation is to analyze all the acting forces on the main parts of Darrieus rotor over the rotations as well as in maintenance and stationary conditions. Aerodynamic forces assessment will be executed for 3 different blade shapes (nonsymmetric and symmetric airfoils) like the airfoil section shapes of the Darrieus rotor blades. NACA 0021, LS413, and S1046 are selected as cross-sectional profile in this work. CFD simulations have been used in this work to get the different aerodynamic forces on the rotor blades of the Darrieus turbines. The present results indicated that the symmetric S1046 blade has higher forces during the rotation and stagnant (static) conditions. Moreover, the self-starting capability of NACA 0021 is better than S1046 due to low aerodynamic torsion on the S1046 blades.

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Section: Methodology and Model Validationmentioning

confidence: 99%

Aerodynamic Forces Affecting the H-Rotor Darrieus Wind Turbine

Alqurashi

Mohamed

2020

Modelling and Simulation in Engineering

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“…Wind, which is the most popular energy source among renewable energy sources, has different difficulties compared to the region established in electricity generation. However, the most important problem of all wind farm operators is still wind speed, power estimation and turbine control [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Short-term wind speed forecasting system using deep learning for wind turbine applications

Erdemir

Zengin

Akıncı

2020

IJECE

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It is very important to accurately detect wind direction and speed for wind energy that is one of the essential sustainable energy sources. Studies on the wind speed forecasting are generally carried out for long-term predictions. One of the main reasons for the long-term forecasts is the correct planning of the area where the wind turbine will be built due to the high investment costs and long-term returns. Besides that, short-term forecasting is another important point for the efficient use of wind turbines. In addition to estimating only average values, making instant and dynamic short-term forecasts are necessary to control wind turbines. In this study, short-term forecasting of the changes in wind speed between 1-20 minutes using deep learning was performed. Wind speed data was obtained instantaneously from the feedback of the emulated wind turbine's generator. These dynamically changing data was used as an input of the deep learning algorithm. Each new data from the generator was used as both test and training input in the proposed approach. In this way, the model accuracy and enhancement were provided simultaneously. The proposed approach was turned into a modular independent integrated system to work in various wind turbine applications. It was observed that the system can predict wind speed dynamically with around 3% error in the applications in the test setup applications.

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“…Oka et al [8] and Vaz and Wood [9] have investigated the design of the blade, and Wang et al [10] have provided mechanical insight into the blade. The aero-acoustic noise of the turbine has been assessed by Hashem [11].…”

Section: Introductionmentioning

confidence: 99%

Power Output Enhancement of a Ducted Wind Turbine by Stabilizing Vortices around the Duct

2019

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A brimmed-diffuser augmented turbine (called a wind lens turbine: WLT) actively uses vortices around the brim to enhance its power output. However, the vortices are usually unstable and asymmetric. This study attempted to stabilize the vortices to enhance the power output of a WLT. Then, we investigated new approaches using vortex stabilization plates and polygonal brims in wind tunnel experiments and numerical simulations. Both approaches achieved a 1.5–3.8% increase in power output compared with a standard WLT. Our numerical simulations revealed a periodicity existing in a fluctuating vortex structure on the circular brim. Importantly, vortex stabilization plates and polygonal brims must be the same periodic scale to suppress the vortex fluctuation and stabilize the vortices effectively. In addition, a larger brim tended to enhance the stabilizing effects. We believe that this discovery provides an easy way to increase the power output of existing wind turbines. It is particularly important in light of advances in wind energy technology and the increasing wind energy market.

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Aero-acoustics noise assessment for Wind-Lens turbine

Cited by 37 publications

References 22 publications

Aerodynamic Forces Affecting the H-Rotor Darrieus Wind Turbine

Aerodynamic Forces Affecting the H-Rotor Darrieus Wind Turbine

Short-term wind speed forecasting system using deep learning for wind turbine applications

Power Output Enhancement of a Ducted Wind Turbine by Stabilizing Vortices around the Duct

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