A Review on the Estimation of Power Loss Due to Icing in Wind Turbines

dc.creatorContreras Montoya, Leidy Tatiana
dc.creatorIlinca, Adrian
dc.creatorLain Beatove, Santiago
dc.date.accessioned2023-05-03T20:41:38Z
dc.date.accessioned2023-06-06T15:27:12Z
dc.date.available2023-05-03T20:41:38Z
dc.date.available2023-06-06T15:27:12Z
dc.date.created2023-05-03T20:41:38Z
dc.date.issued2022-02
dc.identifier19961073
dc.identifierhttps://hdl.handle.net/10614/14694
dc.identifierUniversidad Autónoma de Occidente
dc.identifierRepositorio Educativo Digital UAO
dc.identifierhttps://red.uao.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6649744
dc.description.abstractThe objective of this article is to review the methodologies used in the last 15 years to estimate the power loss in wind turbines due to their exposure to adverse meteorological conditions. Among the methods, the use of computational fluid dynamics (CFD) for the three-dimensional numerical simulation of wind turbines is highlighted, as well as the use of two-dimensional CFD simulation in conjunction with the blade element momentum theory (BEM). In addition, a brief review of other methodologies such as image analysis, deep learning, and forecasting models is also presented. This review constitutes a baseline for new investigations of the icing effects on wind turbines’ power outputs. Furthermore, it contributes to a continuous improvement in power-loss prediction and the better response of icing protection systems.
dc.languagespa
dc.publisherMDPI
dc.relation26
dc.relation1083
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dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightsDerechos reservados - MDPI, 2022
dc.titleA Review on the Estimation of Power Loss Due to Icing in Wind Turbines
dc.typeArtículo de revista


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