Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry

Abstract This paper presents the flow fields and aerodynamic loading of a two bladed H‐type vertical axis wind turbine with active variable pitch for load and circulation control. Particle Image Velocimetry is used to capture flow fields at six azimuthal positions of the blades during operation, thr...

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Main Authors: Bruce LeBlanc, Carlos Ferreira
Format: Article
Language:English
Published: Wiley 2022-02-01
Series:Wind Energy
Subjects:
Online Access:https://doi.org/10.1002/we.2674
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author Bruce LeBlanc
Carlos Ferreira
author_facet Bruce LeBlanc
Carlos Ferreira
author_sort Bruce LeBlanc
collection DOAJ
description Abstract This paper presents the flow fields and aerodynamic loading of a two bladed H‐type vertical axis wind turbine with active variable pitch for load and circulation control. Particle Image Velocimetry is used to capture flow fields at six azimuthal positions of the blades during operation, three upwind and three downwind. Flow phenomena such as dynamic stall and tower shadow are captured in the flow fields. The phase‐averaged velocity fields and their time and spatial derivatives are used to calculate the normal and tangential loading at each position for each pitching configuration using the Noca formulation of the flux equations. The results show the effect of load shifting from the upwind to downwind region of the actuator using pitch and the effects of dynamic stall on the blades. The results also provide an unique database for model validation.
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spelling doaj.art-2ee10eed66ef45a49b6a9a73a2337a152022-12-21T21:34:15ZengWileyWind Energy1095-42441099-18242022-02-0125231333210.1002/we.2674Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetryBruce LeBlanc0Carlos Ferreira1Wind Energy Delft University of Technology Delft South Holland NetherlandsWind Energy Delft University of Technology Delft South Holland NetherlandsAbstract This paper presents the flow fields and aerodynamic loading of a two bladed H‐type vertical axis wind turbine with active variable pitch for load and circulation control. Particle Image Velocimetry is used to capture flow fields at six azimuthal positions of the blades during operation, three upwind and three downwind. Flow phenomena such as dynamic stall and tower shadow are captured in the flow fields. The phase‐averaged velocity fields and their time and spatial derivatives are used to calculate the normal and tangential loading at each position for each pitching configuration using the Noca formulation of the flux equations. The results show the effect of load shifting from the upwind to downwind region of the actuator using pitch and the effects of dynamic stall on the blades. The results also provide an unique database for model validation.https://doi.org/10.1002/we.2674active pitch controlcirculation controlDarrieus VAWTflow visualizationparticle image velocimetryvertical axis wind turbine
spellingShingle Bruce LeBlanc
Carlos Ferreira
Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
Wind Energy
active pitch control
circulation control
Darrieus VAWT
flow visualization
particle image velocimetry
vertical axis wind turbine
title Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
title_full Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
title_fullStr Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
title_full_unstemmed Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
title_short Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
title_sort estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry
topic active pitch control
circulation control
Darrieus VAWT
flow visualization
particle image velocimetry
vertical axis wind turbine
url https://doi.org/10.1002/we.2674
work_keys_str_mv AT bruceleblanc estimationofbladeloadsforavariablepitchverticalaxiswindturbinefromparticleimagevelocimetry
AT carlosferreira estimationofbladeloadsforavariablepitchverticalaxiswindturbinefromparticleimagevelocimetry