Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree

Mukesh Kumar Rathore, Meena Agrawal, Prashant Baredar, Anoop Kumar Shukla, Gaurav Dwivedi and Puneet Verma ()
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Mukesh Kumar Rathore: Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India
Meena Agrawal: Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India
Prashant Baredar: Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, India
Anoop Kumar Shukla: Department of Mechanical Engineering, Amity University Uttar Pradesh, Noida 201313, India
Gaurav Dwivedi: Energy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, India
Puneet Verma: School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane City, QLD 4000, Australia

Energies, 2023, vol. 16, issue 7, 1-17

Abstract: Large wind turbines of the horizontal axis are commonly used to gather wind energy; however, their performance is found to be constrained in conditions of erratic and low-speed wind flow. In contrast, low wind conditions—which are typically present in dense urban areas—are found to favour vertical axis wind turbines (VAWT). These turbines have a simple design, are inexpensive and quiet, and are discovered to be better in low wind situations. In this research, we have chosen wind tree applications to absorb the most available wind energy. The new Aeroleaf Savonius Wind Turbine was developed numerically and a computational fluid dynamics simulation was performed on this new type of Savonius tree to predict its performance. The results indicated that the system could accept wind from any direction and could start rotating as soon as the site had a cut in wind speed of 3.3 m/s. The rotor speed increased by 10.4% from 5.5 to 6.3 m/s wind speed at 0.45 tip speed ratio. The tip speed ratio is 0.52 at the site’s high wind speed, and under these circumstances, the maximum Cp is 12.9%. The turbine was able to produce superior performance coefficients, according to the results.

Keywords: wind tree; Savonius rotor; performance analysis; CFD (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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