Numerical investigation on aerodynamic performance of a novel vertical axis wind turbine with adaptive blades

Wang, Ying; Sun, Xiaojing; Dong, Xiaohua; Zhu, Bing; Huang, Diangui; Zheng, Zhongquan Charlie

doi:10.1016/j.enconman.2015.11.003

Cited by 102 publications

(23 citation statements)

References 17 publications

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“…Moreover, 2D CFD simulation has been found loyal in disclosing the underlying flow physics responsible for VAWT's aerodynamic performance in its plane of rotation. There are many papers in the available literature, which have successfully investigated the complex aerodynamic performance of VAWTs using 2D CFD simulation for, for example, the recent works of [17,45,46]. The other prominent factors for adopting 2D CFD model are also discussed as follows:…”

Section: Reason For Choosing Two-dimensional Cfd Modelmentioning

confidence: 99%

Low wind speed aerodynamics of asymmetric blade H-Darrieus wind turbine-its desired blade pitch for performance improvement in the built environment

Mazarbhuiya

Biswas

Sharma

2020

J Braz. Soc. Mech. Sci. Eng.

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An asymmetric blade vertical-axis wind turbine (VAWT) is one of the emerging technologies for harvesting power in the built environment, which has low wind speed. Although asymmetric blade improves VAWT's performance, the effect of blade pitch angle on its design is hardly ascertained. In this paper, unsteady 2D Reynolds-averaged Navier-Stokes CFD simulations are carried out to investigate the effect of blade pitch angle on the aerodynamic performance of a NACA 63-415 asymmetric blade H-Darrieus VAWT at a low wind speed of 6.0 m/s. Its detailed flow physics at different operating and pitch angle conditions is investigated, and important performance insights are obtained to elucidate its desired blade pitch for performance improvement. The present study shows that positive pitch angle (+ 5°) improves the turbine performance in upwind position, whereas negative pitch angle (− 5°) augments the turbine performance in downwind position as well as causes less wake effect than positive pitch angle. Further, optimal pitch angle (+ 5°) is found out at which the maximum power coefficient of 0.271 is obtained for an operating tip speed ratio 2.4. The present study delineates how desired blade pitch improves the performance of asymmetric blade VAWT for sustainable power generation in the built environment.

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Section: Reason For Choosing Two-dimensional Cfd Modelmentioning

confidence: 99%

Low wind speed aerodynamics of asymmetric blade H-Darrieus wind turbine-its desired blade pitch for performance improvement in the built environment

Mazarbhuiya

Biswas

Sharma

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Lee et al (2015) done a work on wind turbine blade moment signals to blade condition monitoring using a transformation algorithm. A numerical investigation of the aerodynamic performance of a novel vertical axis wind turbine with adaptive blades was carried by Wang et al (2016).…”

Section: Introductionmentioning

confidence: 99%

A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study

Joshuva

Sugumaran

2018

PIE

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In wind turbine, blades are the major component for capturing the wind, however, due to environmental conditions it prompts to get a fault. To overcome this problem, a machine learning based condition monitoring technique is incorporated into the wind turbine to identify the fault classification which occurred in the blade. In this study, a three-bladed horizontal axis wind turbine was chosen and the faults like blade bend, blade cracks, hub-blade loose connection, blade erosion and pitch angle twist were considered as these are the faults mostly affect the turbine blade. In this study, the autoregressive-moving-average (ARMA) features have been extracted from the raw signal and the dominating feature was selected through J48 decision tree algorithm followed by the fault classification using machine learning classifiers. The results were compared with respect to the classification accuracy and their computational time of the classifier.

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“…For the horizontal axis turbine, the concept of flexibility has indicated a great potential to boost lift force and to improve the turbine performance [9,[12][13]. To improve the vertical axis wind turbine efficiency, Ying [20] proposed an adaptive blade that changes its shape relative to the pressure distribution over its surface. It is seen that when the turbine operates at low tip speed ratio, the deformable blades affect positively the turbine output power; however, near the optimal operating range, they appear to have a negligible effect.…”

Section: Introductionmentioning

confidence: 99%

Impact of flexible blades on the vertical axis tidal turbine performances

Drias¹,

Bouzaher²,

lalmi³

et al. 2018

MMC_B

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Previous research on the vertical axis turbines efficiency has used blades with a typical static camber to improve the turbines efficiency. Typically, the static camber increases the drag force, which affects negatively the optimal harvesting of energy. The present study proposes deformable blades that change their shape relative to their angular position. The new blade shape is achieved by deforming the airfoil camber line via a sinusoidal rounded arc. The computed results show that the present type of deformation involves two typical flow control mechanisms. Firstly, a leading edge control that alters the flow angle of attacks and therefore the leading edge vortex (LEV) time of growth. Secondly, this type of deformation comprises a trailing edge control that affects the physical size and strength of the LEV. The lift force can be effectively increased. As a main result, the turbine power coefficient appears to be higher by about 20% for the optimal operating conditions.

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Numerical investigation on aerodynamic performance of a novel vertical axis wind turbine with adaptive blades

Cited by 102 publications

References 17 publications

Low wind speed aerodynamics of asymmetric blade H-Darrieus wind turbine-its desired blade pitch for performance improvement in the built environment

Low wind speed aerodynamics of asymmetric blade H-Darrieus wind turbine-its desired blade pitch for performance improvement in the built environment

A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study

Impact of flexible blades on the vertical axis tidal turbine performances

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