Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach
This research uses computational fluid dynamics (CFD) to perform a two-stage optimization of power output in multiple vertical-axis wind turbines (VAWT) with straight blades. In the first stage, four configurations are evaluated and optimized utilizing the Taguchi approach. Three operational factors...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671121000243 |
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| author | Wei-Hsin Chen Jherwin B. Ocreto Jhih-Syun Wang Anh Tuan Hoang Jia-Hong Liou Chii-Jong Hwang Wen Tong Chong |
| author_facet | Wei-Hsin Chen Jherwin B. Ocreto Jhih-Syun Wang Anh Tuan Hoang Jia-Hong Liou Chii-Jong Hwang Wen Tong Chong |
| author_sort | Wei-Hsin Chen |
| collection | DOAJ |
| description | This research uses computational fluid dynamics (CFD) to perform a two-stage optimization of power output in multiple vertical-axis wind turbines (VAWT) with straight blades. In the first stage, four configurations are evaluated and optimized utilizing the Taguchi approach. Three operational factors, including the distance between the third turbine and the y-axis (H), the distance between the second turbine and the third turbine (B) and, placing the fourth turbine along with two levels, are considered to account for their effects on the output of the multiple turbine system. The impacts of the three factors on the performance are highlighted by H > B > placing the fourth turbine. Subsequently, based on the Taguchi-optimized combination, the analysis of the specific factor is conducted in the second stage by varying the B value. The results suggest that B = 6m without placing the fourth turbine can further intensify the power output of the VAWT system by around 3%, increasing the mean power coefficient (Cp¯) from 0.5026 to 0.5174. This is attributed to the Magnus effect, originating from the first and the second turbine. Furthermore, the results also show that changing the rotating direction of the third turbine from counterclockwise to clockwise deteriorates the output power, reducing the Cp¯ to 0.3339. Overall, the mean power coefficient of the optimized three-turbine system is higher than that of the single VAWT (Cp = 0.4473) by a factor of 15.7% under the wind speed of 8 m⋅s−1 and a tip speed ratio of 2. This reveals that the optimal design can effectively increase the output power performance of VAWT systems. |
| first_indexed | 2024-12-18T02:48:56Z |
| format | Article |
| id | doaj.art-9103abbbfefd475d9969dc82dad6fb73 |
| institution | Directory Open Access Journal |
| issn | 2772-6711 |
| language | English |
| last_indexed | 2024-12-18T02:48:56Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj.art-9103abbbfefd475d9969dc82dad6fb732022-12-21T21:23:30ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112021-01-011100025Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approachWei-Hsin Chen0Jherwin B. Ocreto1Jhih-Syun Wang2Anh Tuan Hoang3Jia-Hong Liou4Chii-Jong Hwang5Wen Tong Chong6Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan; Corresponding author.Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanDepartment of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanInstitute of Engineering, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Viet NamDepartment of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanDepartment of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanDepartment of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603, MalaysiaThis research uses computational fluid dynamics (CFD) to perform a two-stage optimization of power output in multiple vertical-axis wind turbines (VAWT) with straight blades. In the first stage, four configurations are evaluated and optimized utilizing the Taguchi approach. Three operational factors, including the distance between the third turbine and the y-axis (H), the distance between the second turbine and the third turbine (B) and, placing the fourth turbine along with two levels, are considered to account for their effects on the output of the multiple turbine system. The impacts of the three factors on the performance are highlighted by H > B > placing the fourth turbine. Subsequently, based on the Taguchi-optimized combination, the analysis of the specific factor is conducted in the second stage by varying the B value. The results suggest that B = 6m without placing the fourth turbine can further intensify the power output of the VAWT system by around 3%, increasing the mean power coefficient (Cp¯) from 0.5026 to 0.5174. This is attributed to the Magnus effect, originating from the first and the second turbine. Furthermore, the results also show that changing the rotating direction of the third turbine from counterclockwise to clockwise deteriorates the output power, reducing the Cp¯ to 0.3339. Overall, the mean power coefficient of the optimized three-turbine system is higher than that of the single VAWT (Cp = 0.4473) by a factor of 15.7% under the wind speed of 8 m⋅s−1 and a tip speed ratio of 2. This reveals that the optimal design can effectively increase the output power performance of VAWT systems.http://www.sciencedirect.com/science/article/pii/S2772671121000243Vertical-axis wind turbine (VAWT)Power coefficientAirfoilTaguchi approachOptimizationSimulation |
| spellingShingle | Wei-Hsin Chen Jherwin B. Ocreto Jhih-Syun Wang Anh Tuan Hoang Jia-Hong Liou Chii-Jong Hwang Wen Tong Chong Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach e-Prime: Advances in Electrical Engineering, Electronics and Energy Vertical-axis wind turbine (VAWT) Power coefficient Airfoil Taguchi approach Optimization Simulation |
| title | Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach |
| title_full | Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach |
| title_fullStr | Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach |
| title_full_unstemmed | Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach |
| title_short | Two-stage optimization of three and four straight-bladed vertical axis wind turbines (SB-VAWT) based on Taguchi approach |
| title_sort | two stage optimization of three and four straight bladed vertical axis wind turbines sb vawt based on taguchi approach |
| topic | Vertical-axis wind turbine (VAWT) Power coefficient Airfoil Taguchi approach Optimization Simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2772671121000243 |
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