VAWT optimization using genetic algorithm and CST airfoil parameterization
Darrieus type vertical axis wind turbine (VAWT) is optimized using the genetic algorithm (GA). The airfoil shape is parameterized using the Class-Shape Transformation (CST) method. The double multiple stream tube (DMST) method with the Gormont dynamic stall modification is used for the calculation o...
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| Format: | Article |
| Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2017-01-01
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| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701026I.pdf |
| _version_ | 1818161829518508032 |
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| author | Ivanov Toni D. Simonović Aleksandar M. Svorcan Jelena S. Peković Ognjen M. |
| author_facet | Ivanov Toni D. Simonović Aleksandar M. Svorcan Jelena S. Peković Ognjen M. |
| author_sort | Ivanov Toni D. |
| collection | DOAJ |
| description | Darrieus type vertical axis wind turbine (VAWT) is optimized using the genetic algorithm (GA). The airfoil shape is parameterized using the Class-Shape Transformation (CST) method. The double multiple stream tube (DMST) method with the Gormont dynamic stall modification is used for the calculation of the VAWT performance parameters. Once the numerical codes are validated using available experimental results, the airfoil parameters are varied as to achieve the optimum value of the genetic algorithm fitness function. |
| first_indexed | 2024-12-11T16:23:59Z |
| format | Article |
| id | doaj.art-305abf24837849b2b1eb6fd874e57e53 |
| institution | Directory Open Access Journal |
| issn | 1451-2092 2406-128X |
| language | English |
| last_indexed | 2024-12-11T16:23:59Z |
| publishDate | 2017-01-01 |
| publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
| record_format | Article |
| series | FME Transactions |
| spelling | doaj.art-305abf24837849b2b1eb6fd874e57e532022-12-22T00:58:46ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2017-01-0145126311451-20921701026IVAWT optimization using genetic algorithm and CST airfoil parameterizationIvanov Toni D.0Simonović Aleksandar M.1Svorcan Jelena S.2https://orcid.org/0000-0002-6722-2711Peković Ognjen M.3University of Belgrade, Faculty of Mechanical Engineering, Aerospace DepartmentUniversity of Belgrade, Faculty of Mechanical Engineering, Aerospace DepartmentUniversity of Belgrade, Faculty of Mechanical Engineering, Aerospace DepartmentUniversity of Belgrade, Faculty of Mechanical Engineering, Aerospace DepartmentDarrieus type vertical axis wind turbine (VAWT) is optimized using the genetic algorithm (GA). The airfoil shape is parameterized using the Class-Shape Transformation (CST) method. The double multiple stream tube (DMST) method with the Gormont dynamic stall modification is used for the calculation of the VAWT performance parameters. Once the numerical codes are validated using available experimental results, the airfoil parameters are varied as to achieve the optimum value of the genetic algorithm fitness function.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701026I.pdfgenetic-algorithmparameterizationcstvawtdmst |
| spellingShingle | Ivanov Toni D. Simonović Aleksandar M. Svorcan Jelena S. Peković Ognjen M. VAWT optimization using genetic algorithm and CST airfoil parameterization FME Transactions genetic-algorithm parameterization cst vawt dmst |
| title | VAWT optimization using genetic algorithm and CST airfoil parameterization |
| title_full | VAWT optimization using genetic algorithm and CST airfoil parameterization |
| title_fullStr | VAWT optimization using genetic algorithm and CST airfoil parameterization |
| title_full_unstemmed | VAWT optimization using genetic algorithm and CST airfoil parameterization |
| title_short | VAWT optimization using genetic algorithm and CST airfoil parameterization |
| title_sort | vawt optimization using genetic algorithm and cst airfoil parameterization |
| topic | genetic-algorithm parameterization cst vawt dmst |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701026I.pdf |
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