Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines

Vertical Axis Wind Turbines (VAWTs) are omnidirectional turbomachines commonly used in rural areas for small-to-medium-scale power generation. The complex flow observed in the wake region of VAWTs is affected by a number of factors, such as rotor blades design. A damaged rotor significantly alters t...

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Autores principales: Taimoor Asim, Sheikh Zahidul Islam
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/4647320be41c44cb9e95831d08301d3f
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spelling oai:doaj.org-article:4647320be41c44cb9e95831d08301d3f2021-11-11T15:52:09ZEffects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines10.3390/en142170601996-1073https://doaj.org/article/4647320be41c44cb9e95831d08301d3f2021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7060https://doaj.org/toc/1996-1073Vertical Axis Wind Turbines (VAWTs) are omnidirectional turbomachines commonly used in rural areas for small-to-medium-scale power generation. The complex flow observed in the wake region of VAWTs is affected by a number of factors, such as rotor blades design. A damaged rotor significantly alters the flow field in the wake region of the VAWT, degrading its power generation capability. Published literature on damaged wind turbine blades is severely limited to torque signal analysis and basic flow field description in the wake region. In this study, detailed numerical investigations have been carried out to establish and quantify the relationship between damaged rotor and the wake dynamics of a VAWT. Time-based Computational Fluid Dynamics analyses have been performed on two VAWT models, one undamaged and the other with a missing rotor blade. Proper Orthogonal Decomposition has been used to extract the energy content and temporal coefficients of the various flow patterns associated with the wake region. The results indicate that the first pressure-based flow mode contains 99% of the energy and provides a functional basis for accurate reconstruction of the wake. It is envisaged that this study will aid the development of novel machine learning algorithms for rotor damage detection in wind farms.Taimoor AsimSheikh Zahidul IslamMDPI AGarticleVertical Axis Wind Turbine (VAWT)Computational Fluid Dynamics (CFD)Proper Orthogonal Decomposition (POD)wake dynamicsblade faultsTechnologyTENEnergies, Vol 14, Iss 7060, p 7060 (2021)
institution DOAJ
collection DOAJ
language EN
topic Vertical Axis Wind Turbine (VAWT)
Computational Fluid Dynamics (CFD)
Proper Orthogonal Decomposition (POD)
wake dynamics
blade faults
Technology
T
spellingShingle Vertical Axis Wind Turbine (VAWT)
Computational Fluid Dynamics (CFD)
Proper Orthogonal Decomposition (POD)
wake dynamics
blade faults
Technology
T
Taimoor Asim
Sheikh Zahidul Islam
Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
description Vertical Axis Wind Turbines (VAWTs) are omnidirectional turbomachines commonly used in rural areas for small-to-medium-scale power generation. The complex flow observed in the wake region of VAWTs is affected by a number of factors, such as rotor blades design. A damaged rotor significantly alters the flow field in the wake region of the VAWT, degrading its power generation capability. Published literature on damaged wind turbine blades is severely limited to torque signal analysis and basic flow field description in the wake region. In this study, detailed numerical investigations have been carried out to establish and quantify the relationship between damaged rotor and the wake dynamics of a VAWT. Time-based Computational Fluid Dynamics analyses have been performed on two VAWT models, one undamaged and the other with a missing rotor blade. Proper Orthogonal Decomposition has been used to extract the energy content and temporal coefficients of the various flow patterns associated with the wake region. The results indicate that the first pressure-based flow mode contains 99% of the energy and provides a functional basis for accurate reconstruction of the wake. It is envisaged that this study will aid the development of novel machine learning algorithms for rotor damage detection in wind farms.
format article
author Taimoor Asim
Sheikh Zahidul Islam
author_facet Taimoor Asim
Sheikh Zahidul Islam
author_sort Taimoor Asim
title Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
title_short Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
title_full Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
title_fullStr Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
title_full_unstemmed Effects of Damaged Rotor on Wake Dynamics of Vertical Axis Wind Turbines
title_sort effects of damaged rotor on wake dynamics of vertical axis wind turbines
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/4647320be41c44cb9e95831d08301d3f
work_keys_str_mv AT taimoorasim effectsofdamagedrotoronwakedynamicsofverticalaxiswindturbines
AT sheikhzahidulislam effectsofdamagedrotoronwakedynamicsofverticalaxiswindturbines
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