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

The 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 simulati...

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Main Authors: Leidy Tatiana Contreras Montoya, Santiago Lain, Adrian Ilinca
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/3/1083
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author Leidy Tatiana Contreras Montoya
Santiago Lain
Adrian Ilinca
author_facet Leidy Tatiana Contreras Montoya
Santiago Lain
Adrian Ilinca
author_sort Leidy Tatiana Contreras Montoya
collection DOAJ
description The 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.
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spelling doaj.art-df7ca8a618c2431e849b5b3570ff528b2023-11-23T16:24:52ZengMDPI AGEnergies1996-10732022-02-01153108310.3390/en15031083A Review on the Estimation of Power Loss Due to Icing in Wind TurbinesLeidy Tatiana Contreras Montoya0Santiago Lain1Adrian Ilinca2Wind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, CanadaPAI+ Group, Energetics & Mechanics Department, Faculty of Engineering, Universidad Autónoma de Occidente, Cali, Valle del Cauca 760030, ColombiaWind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, CanadaThe 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.https://www.mdpi.com/1996-1073/15/3/1083wind turbineicing conditionspower lossCFDBEM
spellingShingle Leidy Tatiana Contreras Montoya
Santiago Lain
Adrian Ilinca
A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
Energies
wind turbine
icing conditions
power loss
CFD
BEM
title A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
title_full A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
title_fullStr A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
title_full_unstemmed A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
title_short A Review on the Estimation of Power Loss Due to Icing in Wind Turbines
title_sort review on the estimation of power loss due to icing in wind turbines
topic wind turbine
icing conditions
power loss
CFD
BEM
url https://www.mdpi.com/1996-1073/15/3/1083
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