<p>To investigate the effects of turbulence intensity on wake velocity evolution in groove-flap vertical-axis wind turbines (VAWTs) during operation, this study proposes the Dynamic Mode Decomposition (DMD) method for multi-modal visualization of wake flow fields in both baseline and groove-flap VAWTs. The spatiotemporal wake characteristics were analyzed under turbulence intensities of 0.1%, 8%, and 15%, and application scenarios for both VAWT configurations were recommended. The results reveal that spatiotemporal variations in wake velocity become increasingly unstable in both axial and normal directions with rising turbulence intensity. The baseline VAWT demonstrates simpler and more stable wake structures with periodically arranged vortices, making it suitable for low-turbulence environments such as suburban areas. In contrast, the groove-flap VAWT enhances wake mixing through localized perturbations, showing superior adaptability to urban deployment scenarios including street canyons and skyscraper rooftops.</p>

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Uncertainty analysis of spatiotemporal wake characteristics in groove-flap wind turbines based on turbulence intensity

  • Yifan Xing,
  • Yongyan Chen,
  • Jiale Xue,
  • Li Song,
  • Jie Yang,
  • Xin Su

摘要

To investigate the effects of turbulence intensity on wake velocity evolution in groove-flap vertical-axis wind turbines (VAWTs) during operation, this study proposes the Dynamic Mode Decomposition (DMD) method for multi-modal visualization of wake flow fields in both baseline and groove-flap VAWTs. The spatiotemporal wake characteristics were analyzed under turbulence intensities of 0.1%, 8%, and 15%, and application scenarios for both VAWT configurations were recommended. The results reveal that spatiotemporal variations in wake velocity become increasingly unstable in both axial and normal directions with rising turbulence intensity. The baseline VAWT demonstrates simpler and more stable wake structures with periodically arranged vortices, making it suitable for low-turbulence environments such as suburban areas. In contrast, the groove-flap VAWT enhances wake mixing through localized perturbations, showing superior adaptability to urban deployment scenarios including street canyons and skyscraper rooftops.