Articles | Volume 9, issue 5
https://doi.org/10.5194/wes-9-1229-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1229-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 May 2024
Research article |
| 30 May 2024
| 30 May 2024
Validation of aeroelastic dynamic model of active trailing edge flap system tested on a 4.3 MW wind turbine
Andrea Gamberini
CORRESPONDING AUTHOR
Siemens Gamesa Renewable Energy A/S, Brande, Denmark
Department of Wind and Energy Systems, DTU, Roskilde, Denmark
Thanasis Barlas
Department of Wind and Energy Systems, DTU, Roskilde, Denmark
Alejandro Gomez Gonzalez
Siemens Gamesa Renewable Energy A/S, Brande, Denmark
Helge Aagaard Madsen
Department of Wind and Energy Systems, DTU, Roskilde, Denmark
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Active trailing edge flaps can potentially reduce wind turbine (WT) loads. To monitor their performance, we present two methods based on machine learning that identify flap health states, including degraded performance, in normal power production and idling condition. Both methods rely only on sensors commonly available on WTs. One approach properly detects all the flap states if a fault occurs on only one blade. The other approach can identify two specific flap states in all fault scenarios.
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Active trailing edge flaps can potentially reduce wind turbine (WT) loads. To monitor their performance, we present two methods based on machine learning that identify flap health states, including degraded performance, in normal power production and idling condition. Both methods rely only on sensors commonly available on WTs. One approach properly detects all the flap states if a fault occurs on only one blade. The other approach can identify two specific flap states in all fault scenarios.
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Thanasis Barlas, Georg Raimund Pirrung, Néstor Ramos-García, Sergio González Horcas, Robert Flemming Mikkelsen, Anders Smærup Olsen, and Mac Gaunaa
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Stephanie Lehnhoff, Alejandro Gómez González, and Jörg R. Seume
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Short summary
Movable surfaces on wind turbine (WT) blades, called active flaps, can reduce the cost of wind energy. However, they still need extensive testing. This study shows that the computer model used to design a WT with flaps aligns well with measurements obtained from a 3month test on a commercial WT featuring a prototype flap. Particularly during flap actuation, there were minimal differences between simulated and measured data. These findings assure the reliability of WT designs incorporating flaps.
Movable surfaces on wind turbine (WT) blades, called active flaps, can reduce the cost of wind...
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