Optimization of small wind turbine blades using improved blade element momentum theory

Tahir, Ahmed; Elgabaili, Mohamed; Rajab, Zakariya; Buaossa, Nagi; Khalil, Ashraf; Mohamed, Faisal A.

doi:10.1177/0309524x18791395

Cited by 22 publications

(10 citation statements)

References 20 publications

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“…First, previous conclusions were mainly derived from individual WFs in China, which ignored background environmental effects. For example, the magnitude of the local wind speed may affect WF impacts by altering the speed of their wind blade rotation (Abo-Khalil et al 2019, Tahir et al 2019). The other uncertainty source is that the WFs used in previous works were mainly located in croplands and grasslands, which may obscure the direct WF impacts because of the interactions between vegetation and the atmosphere (Feng et al 2016, Grossiord et al 2020.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous warming impacts of desert wind farms on land surface temperature and their potential drivers in Northern China

Liu

Zhao

Zhang

et al. 2022

Environ. Res. Commun.

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To address rapid climate change, wind energy has been widely developed in China in the last two decades. However, wind farm (WF) turbulence effects can change the local climate by redistributing temperature, humidity, and heat fluxes. Previous studies indicate that WFs can significantly increase nighttime land surface temperature (LST); however, their conclusions are mainly derived from individual WFs and ignore heterogeneous impacts among multi-WFs in China. Another large source of uncertainty is that the WFs used in previous studies are mainly located in croplands or grasslands, which may obscure direct WF impacts because of the interactions between vegetation and the atmosphere. In this study, we detect impacts with MODIS LST products during 2001-2018 at sixteen WFs in the desert of northern China. The results suggest that the averaged warming impacts of WFs on LST are similar between nighttime (0.237 °C) and daytime (0.250 °C). However, the uncertainty is much greater for daytime (SD = 0.519 °C) than for nighttime (SD = 0.146 °C) due to spatially heterogeneous impacts of desert WFs on LST. Optimal structural equation models suggest that wind speed, precipitation, and distribution patterns of wind turbines mainly explain the spatial heterogeneity of the desert WF impacts on nighttime LST. Given the rapid development of WFs globally, the local warming impacts of WFs and their corresponding mechanisms should be highlighted as a high priority in the fields of energy and climate.

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Section: Introductionmentioning

confidence: 99%

Heterogeneous warming impacts of desert wind farms on land surface temperature and their potential drivers in Northern China

Liu

Zhao

Zhang

et al. 2022

Environ. Res. Commun.

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“…Each day around the world, wind turbines (WTs) are capturing wind power, and then transforming the kinetic energy of the wind (air in motion) into mechanical energy (water pumping, the grain grinding, or sailing ships) or electrical energy (in the case of an aerogenerator via a generator). There are two types of wind machines used today based on the direction of the rotating axis: horizontal axis wind turbines (HAWTs) and vertical axis wind turbines (VAWTs) (Su et al, 2019;Tahir et al, 2019). Both WTs have advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Wind turbine aerodynamics modeling by meshless method

2020

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This article presents wind turbine aerodynamics modeling by a meshless method. This method does not require meshing but it requires only a set of nodes. The radial basis function of finite difference method is a local meshless method, which is the coupling between the radial basis functions and the finite difference methods. When the number of nodes increases, the system might become ill-conditioned. Therefore, the local meshless method is adopted. It must be noted that Navier–Stokes equation is the one used for modeling purposes. Numerical results were compared to the meshless method and the finite element method results in terms of both velocity and pressure. Close agreements are observed.

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“…They calculated output power and the starting time using blade-element momentum theory and employed simple beam theory to determine the stress and deflection along the blade. Tahir et al [23] optimized the turbine blades using enhanced blade element momentum theory together with the Viterna-Corrigan stall model to yield low cut-in speed and high power level. They compared numerical results with experimental results and noticed that the wind turbine could be optimized to produce more energy.…”

Section: Introductionmentioning

confidence: 99%

Small Wind Turbine Blade Design and Optimization

2019

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This work aims at designing and optimizing the performance of a small Horizontal-Axis-Wind-Turbine to obtain a power coefficient (C P ) higher than 40% at a low wind speed of 5 m/s. Two symmetric in shape airfoils were used to get the final optimized airfoil. The main objective is to optimize the blade parameters that influence the design of the blade since the small turbines are prone to show low performance due to the low Reynolds number as a result of the small size of the rotor and the low wind speed. Therefore, the optimization process will select different airfoils and extract their performance at the design conditions to find the best sections which form the optimal design of the blade. The sections of the blade in the final version mainly consist of two different sections belong to S1210 and S1223 airfoils. The optimization process goes further by investigating the performance of the final design, and it employs the blade element momentum theory to enhance the design. Finally, the rotor-design was obtained, which consists of three blades with a diameter of 4 m, a hub of 20 cm radius, a tip-speed ratio of 6.5 and can obtain about 650 W with a Power coefficient of 0.445 at a wind-speed of 5.5 m/s, reaching a power of 1.18 kW and a power coefficient of 0.40 at a wind-speed of 7 m/s.

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Optimization of small wind turbine blades using improved blade element momentum theory

Cited by 22 publications

References 20 publications

Heterogeneous warming impacts of desert wind farms on land surface temperature and their potential drivers in Northern China

Heterogeneous warming impacts of desert wind farms on land surface temperature and their potential drivers in Northern China

Wind turbine aerodynamics modeling by meshless method

Small Wind Turbine Blade Design and Optimization

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