Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

dc.contributor.authorMohandes, M.
dc.contributor.authorRehman, Shafiqur
dc.contributor.authorRahman, S.M.
dc.date.accessioned2011-05-23T14:07:52Z
dc.date.available2011-05-23T14:07:52Z
dc.date.issued2011-04
dc.description.abstractWind energy has become a major competitor of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, wind with reasonable speed is not adequately sustainable everywhere to build an economical wind farm. The potential site has to be thoroughly investigated at least with respect to wind speed profile and air density. Wind speed increases with height, thus an increase of the height of turbine rotor leads to more generated power. Therefore, it is imperative to have a precise knowledge of wind speed profiles in order to assess the potential for a wind farm site. This paper proposes a clustering algorithm based neuro-fuzzy method to find wind speed profile up to height of 100 m based on knowledge of wind speed at heights 10, 20, 30, 40 m. The model estimated wind speed at 40 m based on measured data at 10, 20, and 30 m has 3% mean absolute percent error when compared with measured wind speed at height 40 m. This close agreement between estimated and measured wind speed at 40 m indicates the viability of the proposed method. The comparison with the 1/7th law and experimental wind shear method further proofs the suitability of the proposed method for generating wind speed profile based on knowledge of wind speed at lower heights.en_US
dc.identifier.citationMohandes M et al. Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS). Appl Energy (2011), doi:10.1016/j.apenergy.2011.04.015en_US
dc.identifier.issn0306-2619
dc.identifier.other1872-9118 (online)
dc.identifier.other10.1016/j.apenergy.2011.04.015
dc.identifier.urihttp://hdl.handle.net/2263/16613
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights2011 Elsevier Ltd. All rights reserved.en_US
dc.subjectANFISen_US
dc.subjectFuzzy inference systemen_US
dc.subjectArtificial neural networksen_US
dc.subjectWind profileen_US
dc.subjectWind speeden_US
dc.subject.lcshWind poweren
dc.subject.lcshWind power -- Climatic factorsen
dc.subject.lcshWind power plantsen
dc.subject.lcshWinds -- Speed -- Measurementen
dc.subject.meshWind power -- Researchen
dc.titleEstimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)en_US
dc.typePostprint Articleen_US

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