Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO
Vertical-axis wind turbines (VAWTs) are attractive tools for wind energy extraction particularly suitable for small consumers or off-grid areas. Although their geometry is simple (here, rectangular blade of constant airfoil is assumed), aerodynamic analysis may be quite complex. Computational fluid...
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| Format: | Article |
| Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2019-01-01
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| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904887S.pdf |
| _version_ | 1818034316993626112 |
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| author | Svorcan Jelena Trivković Zorana Ivanov Toni Baltić Marija Peković Ognjen |
| author_facet | Svorcan Jelena Trivković Zorana Ivanov Toni Baltić Marija Peković Ognjen |
| author_sort | Svorcan Jelena |
| collection | DOAJ |
| description | Vertical-axis wind turbines (VAWTs) are attractive tools for wind energy extraction particularly suitable for small consumers or off-grid areas. Although their geometry is simple (here, rectangular blade of constant airfoil is assumed), aerodynamic analysis may be quite complex. Computational fluid dynamics (CFD) approach is employed for the estimation of rotor aerodynamic performances. This paper provides a review of possible multi-objective optimization strategies for the design of small-scale VAWT laminate blades in terms of its main structural parameters: ply-order and ply-number. Numerous structural analyses of the composite turbine blades were performed by finite element method (FEM). Multi-criteria constrained optimizations, by an evolutionary method - particle swarm optimization (PSO), were performed with respect to blade total mass, maximum blade tip deflection under static loading, computed natural frequencies and failure index along the blade. By combining different input and output parameters (cost functions and constraints) a large variety of feasible solutions can be achieved. |
| first_indexed | 2024-12-10T06:37:14Z |
| format | Article |
| id | doaj.art-17f068e7471c49bfaf629b1e699d9cb1 |
| institution | Directory Open Access Journal |
| issn | 1451-2092 2406-128X |
| language | English |
| last_indexed | 2024-12-10T06:37:14Z |
| publishDate | 2019-01-01 |
| publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
| record_format | Article |
| series | FME Transactions |
| spelling | doaj.art-17f068e7471c49bfaf629b1e699d9cb12022-12-22T01:58:52ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2019-01-014748878931451-20921904887SMulti-objective constrained optimizations of VAWT composite blades based on FEM and PSOSvorcan Jelena0https://orcid.org/0000-0002-6722-2711Trivković Zorana1Ivanov Toni2Baltić Marija3Peković Ognjen4University of Belgrade, Faculty of Mechanical EngineeringUniversity of Belgrade, Faculty of Mechanical EngineeringUniversity of Belgrade, Faculty of Mechanical EngineeringUniversity of Belgrade, Faculty of Mechanical EngineeringUniversity of Belgrade, Faculty of Mechanical EngineeringVertical-axis wind turbines (VAWTs) are attractive tools for wind energy extraction particularly suitable for small consumers or off-grid areas. Although their geometry is simple (here, rectangular blade of constant airfoil is assumed), aerodynamic analysis may be quite complex. Computational fluid dynamics (CFD) approach is employed for the estimation of rotor aerodynamic performances. This paper provides a review of possible multi-objective optimization strategies for the design of small-scale VAWT laminate blades in terms of its main structural parameters: ply-order and ply-number. Numerous structural analyses of the composite turbine blades were performed by finite element method (FEM). Multi-criteria constrained optimizations, by an evolutionary method - particle swarm optimization (PSO), were performed with respect to blade total mass, maximum blade tip deflection under static loading, computed natural frequencies and failure index along the blade. By combining different input and output parameters (cost functions and constraints) a large variety of feasible solutions can be achieved.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904887S.pdfvawtbladecfdlaminatefemmulti-objective pso |
| spellingShingle | Svorcan Jelena Trivković Zorana Ivanov Toni Baltić Marija Peković Ognjen Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO FME Transactions vawt blade cfd laminate fem multi-objective pso |
| title | Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO |
| title_full | Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO |
| title_fullStr | Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO |
| title_full_unstemmed | Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO |
| title_short | Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO |
| title_sort | multi objective constrained optimizations of vawt composite blades based on fem and pso |
| topic | vawt blade cfd laminate fem multi-objective pso |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904887S.pdf |
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