Reduces blade shaft deflection with improved mount design to increase vertical hybrid wind turbine performance

Erwin, E.; Soemardi, Tresna Priyana; Ikhsan, Muhammad; Nugraha, Kurnia

doi:10.1088/1757-899x/673/1/012119

Cited by 1 publication

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After the video capture process is complete, the video is processed on the tracker software. In this software you can see the phenomenon of the fin response to the direction of the wind, which is poured in the graphical form [5]. After processing the video, the data obtained from the tracker software is reprocessed in the sigmaplot software.…”

Section: Methodsmentioning

confidence: 99%

Comparative Study of Damper Effects of Steering Tail Fin Shapes: Part II

Lusiani¹,

Satria²,

Rismawan³

et al. 2022

Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021)

View full text Add to dashboard Cite

The need for the development of the guide fin design that will be used in vertical double shaft wind turbines, the development of the directional tail fins are used to increase the efficiency of the wind turbine. By using a ratio of 1.4 and the area being scaled to 0.042 m2. The purpose of this research is to make a prototype scale model of the fin, make the fin mount, and determine the design of the guiding tail fin based on its damping effect. The testing process is carried out in a wind tunnel with a test speed of 1 m/s -5 m/s with test angles of 5˚,10˚,15˚,20˚,25˚, and 30. The testing process is performed using a video recording with slow-motion mode, which will be tracked on the tracker software, later producing a graph to determine the tail fin with the best attenuation. From the test results, it is found that the 1A Single fin is the best fin based on its damping effect with an average number of waves at each speed and also an angle of release of 1.1 waves, an average amplitude of 0.014591609 m, and a damping time of 16.16321429 s.

show abstract

Section: Methodsmentioning

confidence: 99%