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    Employing Computational Fluid Dynamics to Derive Beddoes–Leishman Model Airfoil Parameters for Vertical Axis Wind Turbines

    Source: Journal of Solar Energy Engineering:;2021:;volume( 143 ):;issue: 004::page 044501-1
    Author:
    Hand, Brian
    ,
    Kelly, Ger
    ,
    Cashman, Andrew
    DOI: 10.1115/1.4049716
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The blades of a vertical axis wind turbine (VAWT) experience large variations in the angle of attack at low tip-speed ratios and induce blade force oscillation. These unsteady aerodynamic effects must be considered in the VAWT aerodynamic modelling methodology by utilizing a dynamic stall model. The Beddoes–Leishman (B–L) dynamic stall model is a popular method to simulate the unsteady VAWT blade dynamic stall aerodynamics. However, a limitation of the B–L dynamic stall model is the number of the airfoil dependent parameters derived from both steady and unsteady experimental measurements. In this paper, a methodology is described to compute these B–L dynamic stall model airfoil coefficients utilizing a computational fluid dynamics (CFD) model. This method permits the calculation of the blade dynamic stall characteristics over a range of reduced pitch rates by employing a user-defined sliding mesh motion technique. Furthermore, the variation in the blade Reynolds number is accounted for by conducting simulations at the maximum and minimum VAWT envelope operating limits. Aerodynamic blade force experimental measurements are used to compare the predictions from a low-order model with airfoil data extracted CFD and experiments. This approach expands the applicability of the B–L dynamic stall model for large-scale VAWTs.
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      Employing Computational Fluid Dynamics to Derive Beddoes–Leishman Model Airfoil Parameters for Vertical Axis Wind Turbines

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4276754
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    contributor authorHand, Brian
    contributor authorKelly, Ger
    contributor authorCashman, Andrew
    date accessioned2022-02-05T22:01:13Z
    date available2022-02-05T22:01:13Z
    date copyright2/5/2021 12:00:00 AM
    date issued2021
    identifier issn0199-6231
    identifier othersol_143_4_044501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276754
    description abstractThe blades of a vertical axis wind turbine (VAWT) experience large variations in the angle of attack at low tip-speed ratios and induce blade force oscillation. These unsteady aerodynamic effects must be considered in the VAWT aerodynamic modelling methodology by utilizing a dynamic stall model. The Beddoes–Leishman (B–L) dynamic stall model is a popular method to simulate the unsteady VAWT blade dynamic stall aerodynamics. However, a limitation of the B–L dynamic stall model is the number of the airfoil dependent parameters derived from both steady and unsteady experimental measurements. In this paper, a methodology is described to compute these B–L dynamic stall model airfoil coefficients utilizing a computational fluid dynamics (CFD) model. This method permits the calculation of the blade dynamic stall characteristics over a range of reduced pitch rates by employing a user-defined sliding mesh motion technique. Furthermore, the variation in the blade Reynolds number is accounted for by conducting simulations at the maximum and minimum VAWT envelope operating limits. Aerodynamic blade force experimental measurements are used to compare the predictions from a low-order model with airfoil data extracted CFD and experiments. This approach expands the applicability of the B–L dynamic stall model for large-scale VAWTs.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEmploying Computational Fluid Dynamics to Derive Beddoes–Leishman Model Airfoil Parameters for Vertical Axis Wind Turbines
    typeJournal Paper
    journal volume143
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4049716
    journal fristpage044501-1
    journal lastpage044501-13
    page13
    treeJournal of Solar Energy Engineering:;2021:;volume( 143 ):;issue: 004
    contenttypeFulltext
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