Development of a second-order dynamic stall model
<p>Dynamic stall phenomena carry the risk of negative damping and instability in wind turbine blades. It is crucial to model these phenomena accurately to reduce inaccuracies in predicting design driving (fatigue and extreme) loads. Some of the inaccuracies in current dynamic stall models may...
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doaj-fd16e3199d7a42f98ae912a2477105f32020-11-25T02:03:44ZengCopernicus PublicationsWind Energy Science2366-74432366-74512020-05-01557759010.5194/wes-5-577-2020Development of a second-order dynamic stall modelN. Adema0M. Kloosterman1G. Schepers2EUREC European Master in Renewable Energy, Hanze University of Applied Sciences, Groningen, 9747 AS, the NetherlandsDNV GL, Groningen, 9743 AN, the NetherlandsEUREC European Master in Renewable Energy, Hanze University of Applied Sciences, Groningen, 9747 AS, the Netherlands<p>Dynamic stall phenomena carry the risk of negative damping and instability in wind turbine blades. It is crucial to model these phenomena accurately to reduce inaccuracies in predicting design driving (fatigue and extreme) loads. Some of the inaccuracies in current dynamic stall models may be due to the fact that they are not properly designed for high angles of attack and that they do not specifically describe vortex shedding behaviour. The Snel second-order dynamic stall model attempts to explicitly model unsteady vortex shedding. This model could therefore be a valuable addition to a turbine design software such as Bladed. In this paper the model has been validated with oscillating aerofoil experiments, and improvements have been proposed for reducing inaccuracies. The proposed changes led to an overall reduction in error between the model and experimental data. Furthermore the vibration frequency prediction improved significantly. The improved model has been implemented in Bladed and tested against small-scale turbine experiments at parked conditions. At high angles of attack the model looks promising for reducing mismatches between predicted and measured (fatigue and extreme) loading, leading to possible lower safety factors for design and more cost-efficient designs for future wind turbines.</p>https://www.wind-energ-sci.net/5/577/2020/wes-5-577-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
N. Adema M. Kloosterman G. Schepers |
spellingShingle |
N. Adema M. Kloosterman G. Schepers Development of a second-order dynamic stall model Wind Energy Science |
author_facet |
N. Adema M. Kloosterman G. Schepers |
author_sort |
N. Adema |
title |
Development of a second-order dynamic stall model |
title_short |
Development of a second-order dynamic stall model |
title_full |
Development of a second-order dynamic stall model |
title_fullStr |
Development of a second-order dynamic stall model |
title_full_unstemmed |
Development of a second-order dynamic stall model |
title_sort |
development of a second-order dynamic stall model |
publisher |
Copernicus Publications |
series |
Wind Energy Science |
issn |
2366-7443 2366-7451 |
publishDate |
2020-05-01 |
description |
<p>Dynamic stall phenomena carry the risk of negative damping and instability
in wind turbine blades. It is crucial to model these phenomena accurately
to reduce inaccuracies in predicting design driving (fatigue and extreme)
loads. Some of the inaccuracies in current dynamic stall models may be due
to the fact that they are not properly designed for high angles of attack
and that they do not specifically describe vortex shedding behaviour. The
Snel second-order dynamic stall model attempts to explicitly model unsteady
vortex shedding. This model could therefore be a valuable addition to a
turbine design software such as Bladed. In this paper the model has been
validated with oscillating aerofoil experiments, and improvements have
been proposed for reducing inaccuracies. The proposed changes led to an
overall reduction in error between the model and experimental data.
Furthermore the vibration frequency prediction improved significantly. The
improved model has been implemented in Bladed and tested against
small-scale turbine experiments at parked conditions. At high angles of
attack the model looks promising for reducing mismatches between predicted
and measured (fatigue and extreme) loading, leading to possible lower
safety factors for design and more cost-efficient designs for future wind
turbines.</p> |
url |
https://www.wind-energ-sci.net/5/577/2020/wes-5-577-2020.pdf |
work_keys_str_mv |
AT nadema developmentofasecondorderdynamicstallmodel AT mkloosterman developmentofasecondorderdynamicstallmodel AT gschepers developmentofasecondorderdynamicstallmodel |
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