Optimization of the Eolic Cell to improve the wind velocity augmentation effect through the metamodel of optimal prognosis

Calle, Alfredo R.; Baca, Giusep A.; Chávez, Salomé Gonzáles

doi:10.1016/j.ecmx.2022.100330

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…Future endeavors will encompass exhaustive experimentation, validating the viability of this groundbreaking approach. Furthermore, it is worth noting that this study builds upon and extends previous research focused on optimizing the Eolic Cell itself [6]. This new phase incorporates a turbine and extends the scope of optimization, synergizing both components for enhanced wind energy generation.…”

Section: Introductionmentioning

confidence: 85%

“…We transitioned from the "Intensity and Viscosity Ratio" to the "K and Omega" turbulence specification method and made specific adjustments to the default K and Omega parameters, as shown in the table below: These modifications were informed by a rigorous sensitivity analysis conducted using the OptiSlang software within Ansys Workbench. This calibration process involved 100 simulations, ensuring that our computational fluid dynamics (CFD) simulations accurately represent real-world conditions [6].…”

Section: Validation Study and Parameter Calibrationmentioning

confidence: 99%

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Enhancing Wind Turbine Efficiency Within the Eolic Cell: A Metamodel-Driven Approach

Baca,

Calle,

Gonzales

2024

Advances in Transdisciplinary Engineering

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In the pursuit of sustainable energy solutions, wind power emerges as a pivotal contender. This research pioneers the integration of a Horizontal Axis Wind Turbine (HAWT) into the Eolic Cell—a modular wind energy system designed for augmented wind speed and efficiency. Our primary objective is the holistic optimization of HAWT performance, considering five distinct Tip Speed Ratios (TSR) to account for varying conditions. To optimize turbine performance, we manipulate three key parameters: pitch angles of turbine blades along the radius, the First-Grade coefficient, the Second-Grade coefficient, and the NACA profile chord. A novel Metamodel of Optimal Prognosis (MOP) methodology is introduced, streamlining computational efficiency and facilitating gradient-based optimization across the chosen TSRs. This research marks a significant stride in advancing wind energy solutions for distributed generation, focusing on practical efficiency enhancements. It leverages innovative approaches in wind power generation, laying the groundwork for a sustainable energy future. This article signifies the initial phase of our exploration into harnessing the potential of Eolic Cells as a transformative solution for distributed energy generation, with future research endeavors aimed at validating its practicality.

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Section: Introductionmentioning

confidence: 85%

Section: Validation Study and Parameter Calibrationmentioning

confidence: 99%

Enhancing Wind Turbine Efficiency Within the Eolic Cell: A Metamodel-Driven Approach

Baca,

Calle,

Gonzales

2024

Advances in Transdisciplinary Engineering

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“…The mesh size was gradually increased to achieve solution convergence while avoiding abrupt increases in mesh size, because they can hinder solution convergence [82]. Furthermore, the assessment of mesh quality considered aspects such as aspect ratio, orthogonal quality, and skewness [68,83]. To ensure solution convergence, strict criteria were applied, maintaining a maximum aspect ratio of 25 or less and a maximum skewness of 0.9, even for intricate geometries [82].…”

Section: Mesh Generation Quality and Grid Independence Testmentioning

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, 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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Parameter optimisation of the Eolic Cell to augment wind power density through the Metamodel of Optimal Prognosis

Calle,

Baca,

Gonzales

et al. 2024

International Journal of Sustainable Energy

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Optimization of the Eolic Cell to improve the wind velocity augmentation effect through the metamodel of optimal prognosis

Cited by 4 publications

References 27 publications

Enhancing Wind Turbine Efficiency Within the Eolic Cell: A Metamodel-Driven Approach

Enhancing Wind Turbine Efficiency Within the Eolic Cell: A Metamodel-Driven Approach

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

Parameter optimisation of the Eolic Cell to augment wind power density through the Metamodel of Optimal Prognosis

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