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dc.creatorOliver Matthias Probst Oleszewski
dc.creatorManuel Valenzuela Rendón
dc.date2014
dc.date.accessioned2018-10-18T21:22:01Z
dc.date.available2018-10-18T21:22:01Z
dc.identifier.issn1024123X
dc.identifier.doi10.1155/2014/746319
dc.identifier.urihttp://hdl.handle.net/11285/630457
dc.descriptionThis 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.languageeng
dc.publisherHindawi Limited
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84935019719&doi=10.1155%2f2014%2f746319&partnerID=40&md5=ee5db33d36635747fd2cad6b5e4a822f
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMathematical Problems in Engineering
dc.subjectAirfoils
dc.subjectGenetic algorithms
dc.subjectOptimization
dc.subjectSimulated annealing
dc.subjectTurbine components
dc.subjectTurbomachine blades
dc.subjectWind
dc.subjectWind tunnels
dc.subjectWind turbines
dc.subjectAerodynamic efficiency
dc.subjectAerodynamic optimization
dc.subjectBlade-element momentums
dc.subjectHorizontal axis wind turbines
dc.subjectManufacturing process
dc.subjectNear-optimal solutions
dc.subjectOperational conditions
dc.subjectSimulated annealing algorithms
dc.subjectAerodynamics
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleA Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid Wind Turbine Rotors
dc.typeArtículo
dc.identifier.volume2014
refterms.dateFOA2018-10-18T21:22:01Z


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