Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile

Abdelsalam, Ali M.; El‐Askary, W. A.; Kotb, Mostafa; Sakr, I.M.

doi:10.1016/j.energy.2020.119304

Cited by 32 publications

(14 citation statements)

References 21 publications

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“…Compared with prototype tests, model tests have the advantages of low cost and convenient construction, which significantly reduces uncertainty factors. However, before hydrodynamic and aerodynamic tests, it is necessary to establish different similarity criteria and determine an effective scale ratio of the significant experimental results [12]. This situation leads to the similarity criteria can not be unified when multiple conditions are applied at the same time.…”

Section: Research Status Of Aerodynamicsmentioning

confidence: 99%

A Review of Research Status and Scientific Problems of Floating Offshore Wind Turbines

Lei¹,

Wang²,

Zhou³

et al. 2022

Energy Engineering

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Section: Research Status Of Aerodynamicsmentioning

confidence: 99%

A Review of Research Status and Scientific Problems of Floating Offshore Wind Turbines

Lei¹,

Wang²,

Zhou³

et al. 2022

Energy Engineering

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“…Others merged BEM theory with CFD so as to reduce the simulation time. Numerous studies examined diverse wind turbine parameters, such as alternative blade designs [20][21][22][23], and the minimum and maximum wake loss and output power production, respectively [24,25]. Researchers have also attempted to determine how the efficiency is impacted by various internal and external forces [26,27], and how the overall wind turbine performance is affected by ice, sand, and blade roughness.…”

Section: Rotormentioning

confidence: 99%

On the Investigation of the Effect of Tower and Hub Exclusion on the Numerical Results of a Horizontal Axis Wind Turbine

2022

IJM

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In order to construct a 3D rotor model, periodicity and Multiple Reference Frame (MRF) strategies were applied to address full Computational Fluid Dynamics (CFD) that incorporate the Reynolds-averaged Navier-Stokes (RANS) equations. A simulation model was run to examine the power of the wind turbines, both including and excluding the hub and tower. The purpose of this was to identify an approach that would decrease the computational time cost of wind turbine simulation. Firstly, a full-scale horizontal axis wind turbine simulation was carried out, and subsequently, comparisons were made with the results of the wind tunnel experiment utilizing the K-omega SST and Sparlat Allmaras viscosity models. The results were compared to determine the optimum model with the lowest simulation time and highest accuracy to the experimental results. Following this, the complete models' simulation was compared to the model excluding the hub and tower in order to check the disparity in the results of the two. Additionally, to ascertain the computational cost saving, the ratio of the two simulation times was established. The findings show that the two models produce results that correspond well to the experimental results, and that the power coefficient had a greater value for the complete model than the simple model. Furthermore, it was found that the power coefficient values of the full model have significantly higher levels of similarity to the experimental values. The Sparlat Allmaras and K-omega SST viscosity models returned error percentages of 0.52% and 12.6% respectively. For the partial model utilizing the same computer device, a 5.7% error rate was recorded, with a computational time saving of approximately 34%.

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“…Abdelsalam et al [20] gave a comparison study between a classical model of blade shape and new linearized model. The classical blade had a nonlinear chord distribution from 0.12 to 0.04 m and a nonlinear distribution of twist from 27 • to 4.22 • .…”

Section: Literature Reviewmentioning

confidence: 99%

Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines

et al. 2021

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Blade geometry is an important design parameter that influences global wind turbine energy harvesting performances. The geometric characteristics of the blade profile are obtained by determining the distribution of the chord and twist angle for each blade section. In order to maximize the wind energy production, implying a maximum lift-to-drag ratio for each wind speed, this distribution should be optimized. This paper presents a methodology to numerically determine the change in the twist angle by introducing a range of pitch angles for the maximum power coefficient case. The obtained pitch values were distributed from the root to the tip of blade. The results prove that the power coefficient increases for wind speeds greater than the rated point, which improves the yearly production of energy by 5% compared to the reference case.

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Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile

Cited by 32 publications

References 21 publications

A Review of Research Status and Scientific Problems of Floating Offshore Wind Turbines

A Review of Research Status and Scientific Problems of Floating Offshore Wind Turbines

On the Investigation of the Effect of Tower and Hub Exclusion on the Numerical Results of a Horizontal Axis Wind Turbine

Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines

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