Wind Tunnel Experiments and Numerical Study on Performance Characteristics of an H-type Vertical Axis Wind Turbine in the Spanwise Direction

Zhang, Yanfeng; Li, Qingan; Zhu, Xinyu; Song, Xiaowen; Cai, Chang; Guo, Zhiwei

doi:10.1007/s11630-021-1435-2

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…This same conclusion is approached in reference [19]. Kirke et al [20] found that high solidity can cause the self-starting performance of VAWT to increase under low TSR [21]. These measures are based on the output power of the VAWT and do not consider the correlation between the variation of aerodynamic load on the blade surface and the blade output performance.…”

Section: Introductionmentioning

confidence: 78%

“…It is a prismatic boundary layer on the blade surface. Because of the large wind speed gradient and pressure difference near the blade, the grid on the blade surface has been intensively processed to improve the calculation accuracy [21]. The maximum y + value on the blade surface is less than 1, which is considered to be the refinement of the boundary layer cells [22].…”

Section: Computational Domain and Mesh Setupmentioning

confidence: 99%

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Investigating of Flow Field and Power Performance on a Straight-blade Vertical Axis Wind Turbine with CFD Simulation

Zhang

Guo

Song

et al. 2021

JENRR

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Forecasting the power performance and flow field of straight-blade vertical axis wind turbine (VAWT) and paying attention to the dynamic stall can enhance more adaptability to high turbulence and complicated wind conditions in cities environment. According to the blade element-momentum theory, the force of blade is analyzed in one period of revolution based on the structural characteristics of straight blade airfoil. The power performance of VAWT obtained by computational fluid dynamics (CFD) simulation is compared with experiment to estimate the accuracy about the numerical simulation results. As a result, the trend of average value of simulation Cpower is entirely consistent with the value of experiment data, and the extreme value of average Cpower of VAWT is 0.225 for tip speed ration (TSR) λ=2.19 when the freestream velocity is 8 m/s. The flow separation around the blade surface also gradually changes with the azimuth angle increasing, and the maximum pressure difference on the blade surface appears in the upstream. In the case of high leaf tip velocity, the synthetic velocity is much larger than the incoming wind velocity, and the angle of synthetic velocity increases slightly with the increase of blade tangential velocity. Thus, the angles of attack are very close in two TSRs λ=2.19 and 2.58. The research provides a computational model and theoretical basis for predicting wind turbine flow field to improve wind turbine power performance.

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Section: Introductionmentioning

confidence: 78%

Section: Computational Domain and Mesh Setupmentioning

confidence: 99%