A case study of wind turbine loads and performance using steady-state analysis of BEM

Bhargava, Vasishta; Kasuba, Sainath; Maddula, Satya Prasad; Jagadish, Donepudi; Khan, Akhtar; Padhy, Chinmaya; Chinta, Hari Prasad; Chekuri, Chandra Sekhar Verma; Dwivedi, Yagya Dutta

doi:10.1080/14786451.2020.1787411

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…This plays critical role in turbines structural response and estimation of fatigue and extreme loads behavior in turbine design (Shigeo and Metwally, 2018) For instance, fatigue study by Shigeo and Metwally (2018) showed that a small increase in turbulence intensity level, from 1% to 10%, a significant reduction of time to failure of wind turbine components were observed. Particularly blades of wind turbine are more sensitive to turbu- lence and subjected to higher fluctuating loads (Bhargava et al, 2020;Nukala and Maddula, 2020;. Further, the damage equivalent loads (DEL) predicted by Von Karman and Kaimal turbulence spectra in the study were found to agree within 5% of peak values for different turbulence intensities.…”

Section: Resultsmentioning

confidence: 64%

Prediction of Atmospheric Turbulence Characteristics for Surface Boundary Layer using Empirical Spectral Methods

Dwivedi¹,

Nukala²,

Maddula

et al. 2021

Rev. bras. meteorol.

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Atmospheric turbulence is an unsteady phenomenon found in nature and plays significance role in predicting natural events and life prediction of structures. In this work, turbulence in surface boundary layer has been studied through empirical methods. Computer simulation of Von Karman, Kaimal methods were evaluated for different surface roughness and for low (1%), medium (10%) and high (50%) turbulence intensities. Instantaneous values of one minute time series for longitudinal turbulent wind at mean wind speed of 12 m/s using both spectra showed strong correlation in validation trends. Influence of integral length scales on turbulence kinetic energy production at different heights is illustrated. Time series for mean wind speed of 12 m/s with surface roughness value of 0.05 m have shown that variance for longitudinal, lateral and vertical velocity components were different and found to be anisotropic. Wind speed power spectral density from Davenport and Simiu profiles have also been calculated at surface roughness of 0.05 m and compared with k−1 and k−3 slopes for Kolmogorov k−5/3 law in inertial sub-range and k−7 in viscous dissipation range. At high frequencies, logarithmic slope of Kolmogorov −5/3rd law agreed well with Davenport, Harris, Simiu and Solari spectra than at low frequencies.

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Section: Resultsmentioning

confidence: 64%

Prediction of Atmospheric Turbulence Characteristics for Surface Boundary Layer using Empirical Spectral Methods

Dwivedi¹,

Nukala²,

Maddula

et al. 2021

Rev. bras. meteorol.

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“…Another modelling technique is the Blade Element Momentum (BEM) method, which consists of dividing the rotor blades into a series of segments and analyzing the aerodynamic forces acting on each segment. The BEM theory is an efficient and a very fast modelling method used in many studies concerning single rotor wind turbine [20][21][22][23][24][25][26][27]. As a fast computational technique, it can quickly test several configurations and pave the way for optimization.…”

Section: Dual Rotor Aerodynamic Modelsmentioning

confidence: 99%

Configurable dual rotor wind turbine model based on BEM method: Co-rotating and counter-rotating comparison

Amoretti

Huet

Garambois

et al. 2023

Energy Conversion and Management

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“…It must be noted that flow separation is caused due to the adverse pressure gradient in the boundary layer when the shear stress exceeds the velocity gradient close to wall or boundary (White, 2011;Bhargava et al, 2019a, Bhargava et al, 2019b. On the other hand, for any given angle of attack the flow separation occurs towards trailing edge and result as formation of trailing edge vortex (Bhargava et al, 2020). The trailing edge vortex impacts the maximum lift coefficient generated on aircraft wing along span wise direction.…”

Section: Case: Surface Pressure Distribution Of 30p-30n Multi-elementmentioning

confidence: 99%

A Study of High Lift Aerodynamic Devices on Commercial Aircrafts

Neigapula

Maddula

Nukala³

2020

Aviation

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Aerodynamic performance of aircraft wings vary with flight path conditions and depend on efficiency of high lift systems. In this work, a study on high lift devices and mechanisms that aim to increase maximum lift coefficient and reduce drag on commercial aircraft wings is discussed. Typically, such extensions are provided to main airfoil along span wise direction of wing and can increase lift coefficient by more than 100% during operation. Increasing the no of trailing edge flaps in chord wise direction could result in 100% increment in lift coefficient at a given angle of attack but leading edge slats improve lift by delaying the flow separation near stall angle of attack. Different combinations of trailing edge flaps used by Airbus, Boeing and McDonnel Douglas manufacturers are explained along with kinematic mechanisms to deploy them. The surface pressure distribution for 30P30N airfoil is evaluated using 2D vortex panel method and effects of chord wise boundary layer flow transitions on aerodynamic lift generation is discussed. The results showed better agreements with experiment data for high Reynolds number (9 million) flow conditions near stall angle of attack.

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A case study of wind turbine loads and performance using steady-state analysis of BEM

Cited by 7 publications

References 21 publications

Prediction of Atmospheric Turbulence Characteristics for Surface Boundary Layer using Empirical Spectral Methods

Prediction of Atmospheric Turbulence Characteristics for Surface Boundary Layer using Empirical Spectral Methods

Configurable dual rotor wind turbine model based on BEM method: Co-rotating and counter-rotating comparison

A Study of High Lift Aerodynamic Devices on Commercial Aircrafts

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