Assessment of optimum tip speed ratio in wind turbines using artificial neural networks

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dc.contributor.authorYurdusev M.A.
dc.contributor.authorAta R.
dc.contributor.authorÇetin N.S.
dc.date.accessioned2024-07-22T08:23:41Z
dc.date.available2024-07-22T08:23:41Z
dc.date.issued2006
dc.description.abstractWind turbine blade design depends on several factors, such as turbine profile used, blade number, power factor, and tip speed ratio. The key to designing a wind turbine is to assess the optimal tip speed ratio (TSR). This will directly affect the power generated and, in turn, the effectiveness of the investment made. TSR is suggested to be taken between 7 and 8 and in practice generally taken as 7 for a 3-blade network-connected wind turbine. However, the optimal TSR is dependent upon the profile type used and the blade number and could fall out of the boundaries suggested. Therefore, it has to be assessed accordingly. In this study, the optimal TSR and the power factor of a wind turbine are predicted using artificial neural networks (ANN) based on the parameters involved for NACA 4415 and LS-1 profile types with 3 and 4 blades. The ANN structure built is found to be more successful than the conventional approach in estimating the TSR and power factor. © 2005 Elsevier Ltd. All rights reserved.
dc.identifier.DOI-ID10.1016/j.energy.2005.09.007
dc.identifier.issn03605442
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19652
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectAerodynamics
dc.subjectMachine design
dc.subjectNeural networks
dc.subjectOptimization
dc.subjectTurbomachine blades
dc.subjectWind power
dc.subjectWind turbines
dc.subjectAerodynamics
dc.subjectMachine design
dc.subjectNeural networks
dc.subjectOptimization
dc.subjectTurbomachine blades
dc.subjectWind power
dc.subjectBlade number
dc.subjectPower factor
dc.subjectTip speed ratio
dc.subjectTip speed ratio (TSR)
dc.subjectartificial neural network
dc.subjectassessment method
dc.subjectwind turbine
dc.subjectWind turbines
dc.titleAssessment of optimum tip speed ratio in wind turbines using artificial neural networks
dc.typeArticle

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