Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree
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 a...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/7/3015 |
| _version_ | 1797608023670128640 |
|---|---|
| author | Mukesh Kumar Rathore Meena Agrawal Prashant Baredar Anoop Kumar Shukla Gaurav Dwivedi Puneet Verma |
| author_facet | Mukesh Kumar Rathore Meena Agrawal Prashant Baredar Anoop Kumar Shukla Gaurav Dwivedi Puneet Verma |
| author_sort | Mukesh Kumar Rathore |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T05:38:48Z |
| format | Article |
| id | doaj.art-63e650b1b8ba47ca929317d926ab1192 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T05:38:48Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-63e650b1b8ba47ca929317d926ab11922023-11-17T16:36:16ZengMDPI AGEnergies1996-10732023-03-01167301510.3390/en16073015Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine TreeMukesh Kumar Rathore0Meena Agrawal1Prashant Baredar2Anoop Kumar Shukla3Gaurav Dwivedi4Puneet Verma5Department of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, IndiaDepartment of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, IndiaDepartment of Energy, Maulana Azad National Institute of Technology, Bhopal 462003, IndiaDepartment of Mechanical Engineering, Amity University Uttar Pradesh, Noida 201313, IndiaEnergy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, IndiaSchool of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane City, QLD 4000, AustraliaLarge 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.https://www.mdpi.com/1996-1073/16/7/3015wind treeSavonius rotorperformance analysisCFD |
| spellingShingle | Mukesh Kumar Rathore Meena Agrawal Prashant Baredar Anoop Kumar Shukla Gaurav Dwivedi Puneet Verma Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree Energies wind tree Savonius rotor performance analysis CFD |
| title | Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree |
| title_full | Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree |
| title_fullStr | Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree |
| title_full_unstemmed | Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree |
| title_short | Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree |
| title_sort | fabrication and performance analysis of the aero leaf savonius wind turbine tree |
| topic | wind tree Savonius rotor performance analysis CFD |
| url | https://www.mdpi.com/1996-1073/16/7/3015 |
| work_keys_str_mv | AT mukeshkumarrathore fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree AT meenaagrawal fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree AT prashantbaredar fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree AT anoopkumarshukla fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree AT gauravdwivedi fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree AT puneetverma fabricationandperformanceanalysisoftheaeroleafsavoniuswindturbinetree |