A Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid Wind Turbine Rotors
| dc.creator | Oliver Matthias Probst Oleszewski | |
| dc.creator | Manuel Valenzuela Rendón | |
| dc.date | 2014 | |
| dc.date.accessioned | 2018-10-18T21:22:01Z | |
| dc.date.available | 2018-10-18T21:22:01Z | |
| dc.description | This work presents a novel framework for the aerodynamic design and optimization of blades for small horizontal axis wind turbines (WT). The framework is based on a state-of-the-art blade element momentum model, which is complemented with the XFOIL 6.96 software in order to provide an estimate of the sectional blade aerodynamics. The framework considers an innovative nested-hybrid solution procedure based on two metaheuristics, the virtual gene genetic algorithm and the simulated annealing algorithm, to provide a near-optimal solution to the problem. The objective of the study is to maximize the aerodynamic efficiency of small WT (SWT) rotors for a wide range of operational conditions. The design variables are (1) the airfoil shape at the different blade span positions and the radial variation of the geometrical variables of (2) chord length, (3) twist angle, and (4) thickness along the blade span. A wind tunnel validation study of optimized rotors based on the NACA 4-digit airfoil series is presented. Based on the experimental data, improvements in terms of the aerodynamic efficiency, the cut-in wind speed, and the amount of material used during the manufacturing process were achieved. Recommendations for the aerodynamic design of SWT rotors are provided based on field experience. © 2014 José F. Herbert-Acero et al. | |
| dc.identifier.doi | 10.1155/2014/746319 | |
| dc.identifier.issn | 1024123X | |
| dc.identifier.uri | http://hdl.handle.net/11285/630457 | |
| dc.identifier.volume | 2014 | |
| dc.language | eng | |
| dc.publisher | Hindawi Limited | |
| dc.relation | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84935019719&doi=10.1155%2f2014%2f746319&partnerID=40&md5=ee5db33d36635747fd2cad6b5e4a822f | |
| dc.relation | Investigadores | |
| dc.relation | Estudiantes | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.source | Mathematical Problems in Engineering | |
| dc.subject | Airfoils | |
| dc.subject | Genetic algorithms | |
| dc.subject | Optimization | |
| dc.subject | Simulated annealing | |
| dc.subject | Turbine components | |
| dc.subject | Turbomachine blades | |
| dc.subject | Wind | |
| dc.subject | Wind tunnels | |
| dc.subject | Wind turbines | |
| dc.subject | Aerodynamic efficiency | |
| dc.subject | Aerodynamic optimization | |
| dc.subject | Blade-element momentums | |
| dc.subject | Horizontal axis wind turbines | |
| dc.subject | Manufacturing process | |
| dc.subject | Near-optimal solutions | |
| dc.subject | Operational conditions | |
| dc.subject | Simulated annealing algorithms | |
| dc.subject | Aerodynamics | |
| dc.subject.classification | 7 INGENIERÍA Y TECNOLOGÍA | |
| dc.title | A Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid Wind Turbine Rotors | |
| dc.type | Artículo | |
| refterms.dateFOA | 2018-10-18T21:22:01Z |
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