Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations

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

doi:10.1007/s11708-020-0713-0

Cited by 6 publications

(7 citation statements)

References 42 publications

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“…The study employed the widely used shear stress transport (SST) k-ω turbulence model, which combines the accuracy of the k-ω model near the wall with the independence of the k-ε model in the far field [67][68][69]. This model effectively investigates boundary layers, considering factors such as free-stream flow turbulence, pressure gradient, and heat transfer influences, particularly in shrouded wind turbines [15,37,70,71].…”

Section: Turbulence Model Equationsmentioning

confidence: 99%

“…Notably, it is suitable for adverse pressure gradients, insensitive to free-stream turbulence in the far wake region, and eliminates the need for damping functions [72]. The model choice was based on extensive literature recommendations for aerodynamic purposes, especially in shrouded wind turbines [9,11,12,37,40,42,[67][68][69][72][73][74][75][76][77][78].…”

Section: Turbulence Model Equationsmentioning

confidence: 99%

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Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

Shambira,

Makaka,

Mukumba

2024

Sustainability

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Wind energy, renowned for cost-effectiveness and eco-friendliness, addresses global energy needs amid fossil fuel scarcity and environmental concerns. In low-wind speed regions, optimising wind turbine performance becomes vital and achievable by augmenting wind velocity at the turbine rotor using augmentation systems such as concentrators and diffusers. This study focuses on developing a velocity augmentation model that correctly predicts the throat velocity in an empty concentrator-diffuser-augmented wind turbine (CDaugWT) design and determines optimal geometrical parameters. Utilising response surface methodology (RSM) in Design Expert 13 and computational fluid dynamics (CFD) in ANSYS Fluent, 86 runs were analysed, optimising parameters such as diffuser and concentrator angles and lengths, throat length, and flange height. The ANOVA analysis confirmed the model’s significance (p < 0.05). Notably, the interaction between the concentrator’s length and the diffuser’s length had the highest impact on the throat velocity. The model showed a strong correlation (R2 = 0.9581) and adequate precision (ratio value of 49.655). A low coefficient of variation (C.V.% = 0.1149) highlighted the model’s reliability. The findings revealed a 1.953-fold increase in inlet wind speed at the throat position. Optimal geometrical parameters for the CDaugWT included a diffuser angle of 10°, concentrator angle of 20°, concentrator length of 375 mm (0.62Rth), diffuser length of 975 mm (1.61Rth), throat length of 70 mm (0.12Rth), and flange height of 100 mm (0.17Rth) where Rth is the throat radius. A desirability value of 0.9, close to 1, showed a successful optimisation. CFD simulations and RSM reduced calculation cost and time when determining optimal geometrical parameters for the CDaugWT design.

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Section: Turbulence Model Equationsmentioning

confidence: 99%

Section: Turbulence Model Equationsmentioning

confidence: 99%

Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

Shambira,

Makaka,

Mukumba

2024

Sustainability

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“…They also pointed out that the power output of a DAWT depends on the diffuser length and angle, rotor axial position, and tip clearance between the blade and diffuser duct. Hashem et al [33] used a numerical approach to assess the effect of design parameters, including the diffuser shape, length, area ratio, and flange height, on power augmentation. Their results affirm that diffusers with a cycloidal profile and small length could perform better while maintaining large flange heights.…”

Section: Introductionmentioning

confidence: 99%

“…Applying CFD techniques to analyze the aerodynamics of wind turbines enables a deeper understanding of fluid dynamics within the wind field, thus enabling precise predictions of turbine performance [40,41]. Such a statement is evident from the review of the above papers, and it can be found that most of the above studies were conducted using computational fluid dynamics (CFD), such as Abe and Ohya [19], Abe et al [20], Jafari and Kosasih [22], Roshan et al [23], El-Zahaby et al [24], Heikal et al [27], Klistafani and Mukhsen [28], Anbarsooz et al [29], Arifin et al [30], Ramayee and Supradeepan [32], Hashem et al [33], Jauhar et al [34], Mutasher et al [35], Hashem et al [38], Avallone et al [39], etc. ; and the review paper by Agha et al [42] also emphasized that CFD plays a vital role in the design and performance improvements of the DAWT.…”

Section: Introductionmentioning

confidence: 99%

Optimization Based on Computational Fluid Dynamics and Machine Learning for the Performance of Diffuser-Augmented Wind Turbines with Inlet Shrouds

Hwang,

Wu,

Chang

2024

Sustainability

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A methodology that could reduce computational cost and time, combining computational fluid dynamics (CFD) simulations, neural networks, and genetic algorithms to determine a diffuser-augmented wind turbine (DAWT) design is proposed. The specific approach used implements a CFD simulation validated with experimental data, and key parameters are analyzed to generate datasets for the relevant mathematical model established with the backpropagation neural network algorithm. Then, the mathematical model is used with the non-dominant sorting genetic algorithm II to optimize the design and improve the DAWT design to overcome negative constraints such as noise and low energy density. The key parameters adopted are the diffuser’s flange height/angle, the diffuser’s length, and the rotor’s axial position. It was found that the impact of the rotor’s axial position on the power output of the DAWT is the most significant parameter, and a well-designed diffuser requires accelerating the airflow while maintaining high-pressure recovery. Introducing a diffuser can suppress the wind turbine’s noise, but if the induced tip vortex is too strong, it will have the opposite effect on the noise reduction.

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“…The cycloid curve, also called the brachistochrone curve, is the shortest time drop path passing through two points. It has been widely used to in in accelerating and diffusing wind flow effectively owing to its advantageous characteristics (Fangwei et al, 2017;Hashem et al, 2020). This cycloid curve enables the rapid alteration of the direction and velocity of particles along the flow direction.…”

Section: Introductionmentioning

confidence: 99%

Development of an Axial Cyclone for High-performance: Application of Cycloid Curve and Multi Objective Optimization

Cho

Yun

Kim

2022

Aerosol Air Qual. Res.

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Reducing particulate emission is a key factor in improving the air quality as particulate matter cause respiratory diseases. In this study, an axial cyclone was selected from several existing technologies to reduce particulate emissions owing to its outstanding separation performance and low-pressure drop. To enhance the axial cyclone, the fastest descending curve among the lines that pass through two points was selected; it induces faster momentum changes from the axial to the tangential direction. Therefore, the selected cycloid curve was applied to the vanes and body of the axial cyclone. The particle trajectory was simulated using a discrete phase model (DPM) in ANSYS Fluent ver. 2020 R2. Furthermore, the external structure of the axial cyclone was optimized via multi-objective optimization based on response surface methodology. Additionally, experiments were conducted to evaluate the proposed cyclone performance. Without applying the cycloid curve, the separation efficiency and the pressure drop were 73.6% and 1013.3 Pa, respectively. In the case of the cycloid-applied axial cyclone, however, the separation efficiency and pressure drop were 91.6% and 1109.6 Pa, respectively. Thus, the application of the cycloid curve improved the cyclone performance by approximately 24.5%.

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Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations

Cited by 6 publications

References 42 publications

Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

Optimization Based on Computational Fluid Dynamics and Machine Learning for the Performance of Diffuser-Augmented Wind Turbines with Inlet Shrouds

Development of an Axial Cyclone for High-performance: Application of Cycloid Curve and Multi Objective Optimization

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