Three-dimensional numerical analysis of a vertical axis autorotation current turbine (VAACT) : effects of lateral blockage and free surface

Wu, Hao and Yang, Shuojia and Wang, Enhao and Cao, Renjing and Fernandes, Antonio Carlos and Yin, Xianghan and Xiao, Qing (2024) Three-dimensional numerical analysis of a vertical axis autorotation current turbine (VAACT) : effects of lateral blockage and free surface. Applied Ocean Research, 150. 104138. ISSN 0141-1187 (https://doi.org/10.1016/j.apor.2024.104138)

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Abstract

In this study, we conduct an in-depth three-dimensional (3D) numerical analysis of an innovative vertical axis autorotation current turbine (VAACT), focusing on examining the effects of lateral blockage and free surface on its performance. This analysis employs detached eddy simulation (DES) integrated with the sliding mesh and the volume of fluid algorithm. To begin with, the time series data of angular velocities acquired during the power output phase indicates that, within the range of 0.05 to 0.213, an increased blockage ratio positively influences the turbine’s rotational stability and improve its efficiency. Further, the extrapolation from the fitted curve of the mean power coefficient ( C P ¯ ) as a function of lateral blockage ratio suggests that, in the absence of lateral blockage, the C P ¯ value would approximate 0.145. Additionally, it is observed that the free surface generally diminishes the turbine’s rotational speed and power. This effect is particularly pronounced when the free surface fluctuation is large relative to the turbine’s submerged height. Notably, two parallel rows of 3D vortices on the free surface periodically detach in the wake, and the vortices downstream of the retreating edge appear stronger. This study also presents and analyses detailed flow field characteristics, including 3D vortical structures, free surface fluctuations, and vorticity contours. Overall, this research enhances the comprehension of this innovative vertical-axis turbine, offering valuable knowledge for its potential practical deployment.

ORCID iDs

Wu, Hao, Yang, Shuojia, Wang, Enhao, Cao, Renjing, Fernandes, Antonio Carlos, Yin, Xianghan and Xiao, Qing ORCID logoORCID: https://orcid.org/0000-0001-8512-5299;

Persistent Identifier

https://doi.org/10.17868/strath.00090080
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