A numerical study on the feasibility of electricity production using an optimized wind delivery system (Invelox) integrated with a Horizontal axis wind turbine (HAWT)

Ghorani, Mohammad Mahdi; Karimi, Behrooz; Mirghavamia, Seyed Mohammad; Saboohi, Zoheir

doi:10.1016/j.energy.2023.126643

Cited by 10 publications

(7 citation statements)

References 41 publications

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“…In a similar finding, Ref. [32] noted that wind velocity tends to increase with the concentrator length up to a certain point, beyond which it fluctuates.…”

Section: Introductionmentioning

confidence: 52%

“…It has been established that the ability of the concentrator to increase velocity is determined by both the angle and length of the concentrator [9,[27][28][29][30]. Concurrently, the augmentation of velocity for diffusers is significantly influenced by the length of the diffuser and its opening angle [31][32][33][34]. Moreover, adding a flange to the diffuser is thought to further improve velocity augmentation [11,[35][36][37].…”

Section: Introductionmentioning

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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“…In a similar finding, Ref. [32] noted that wind velocity tends to increase with the concentrator length up to a certain point, beyond which it fluctuates.…”

Section: Introductionmentioning

confidence: 52%

Section: Introductionmentioning

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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“…Wind energy has the benefit of sustainable supply, as is well known as being a clean energy source. The electromagnetic induction generators and turbines seen in modern wind power plants are advantageous due to their big power production and reliable operation [ 21 ]. The installation site is very demanding, and the electromagnetic induction generator performs poorly at low speeds, thus a more complicated ramp-up mechanism is necessary, which is an inherent disadvantage [ 22 , 23 ].…”

Section: Recent Developments In Triboelectric Nanogenerator-based Flu...mentioning

confidence: 99%

Research Progress in Fluid Energy Collection Based on Friction Nanogenerators

Yan,

Sheng,

Zhang

et al. 2023

Micromachines

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In recent decades, the development of electronic technology has provided opportunities for the Internet of Things, biomedicine, and energy harvesting. One of the challenges of the Internet of Things in the electrification era is energy supply. Centralized energy supply has been tested over hundreds of years of history, and its advantages such as ideal output power and stable performance are obvious, but it cannot meet the specific needs of the Internet of Things, and distributed energy supply also has a large demand. Since the invention of nanogenerators, another promising solution for fluid energy harvesting has been opened up. The triboelectric nanogenerator is an emerging platform technology for electromechanical energy conversion, which can realize the collection of fluid energy such as wind energy and wave energy. In this paper, we first introduce the fundamentals of triboelectric nanogenerators and their applications in wind and wave energy harvesting devices. We then discuss the methods of device optimization in the next development of TENG and conclude by considering the future prospects and challenges for triboelectric nanogenerator harvesting devices.

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“…When the lift coefficient is good and the drag coefficient is low, the NACA 4418 airfoil exhibits suitability for applications in the construction of turbine blades [9]. CFD simulation techniques have also been utilized in earlier research to examine the performance of wind turbines, the choice of airfoil profiles, the impact of the number of blades being employed, and pitch angle variations [12][13][14][15][16][17]. Previous research has used the GIT technique to choose a quality mesh while also reducing time to ensure that the data obtained reaches the actual reading [18,19].…”

Section: Introductionmentioning

confidence: 99%

Impact Tip Speed Ratio in Performance Analysis for Horizontal Axis Wind Turbine (HAWT) with Optimal Twist and Tapered (OPT) Blade Shape

Muhammad Al,Ain Mat Zin,

Izuan Amin Ishak,

Mohammad Arafat

et al. 2024

CFDL

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Performance for Horizontal Axial Wind Turbine (HAWT) is influenced by the difference in tip speed ratio (TSR) and mesh distribution. The objective of this article is to study the optimal performance of wind turbines when subjected to different mesh resolution, TSR and wind speed velocity.Therefore, it is important to study the effects of different mesh resolutions in terms of wind turbine performance. To achieve that, a 0.65m optimal twist and tapered (OPT) blade is used with various inlet velocities and TSR. This study uses the k-ꞷ shear-stress transport (SST) based Reynold-Average Navier Stokes (RANS) approach in commercial ANSYS Fluent CFD software. This simulation was performed using the Moving Ratio Frame (MRF) method. To find the optimum grid resolution, a Grid Independence Test (GIT) was conducted comparing the coefficient of power (Cp). From the RESULT, TSR 6 shows the best HAWT performance when Cp for inlet velocity 8 m/s is 0.2608.

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A numerical study on the feasibility of electricity production using an optimized wind delivery system (Invelox) integrated with a Horizontal axis wind turbine (HAWT)

Cited by 10 publications

References 41 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

Research Progress in Fluid Energy Collection Based on Friction Nanogenerators

Impact Tip Speed Ratio in Performance Analysis for Horizontal Axis Wind Turbine (HAWT) with Optimal Twist and Tapered (OPT) Blade Shape

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