Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering ; day:23 ; month:01 ; year:2024 ; pages:1-26 ; extent:26
Wind energy science discussions ; (23.01.2024), 1-26 (gesamt 26)
- Creator
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Thedin, Regis
Barter, Garrett
Jonkman, Jason
Mudafort, Rafael
Bay, Christopher J.
Shaler, Kelsey
Kreeft, Jasper
- DOI
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10.5194/wes-2024-6
- URN
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urn:nbn:de:101:1-2024012503150995907741
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Thedin, Regis
- Barter, Garrett
- Jonkman, Jason
- Mudafort, Rafael
- Bay, Christopher J.
- Shaler, Kelsey
- Kreeft, Jasper
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Sensitivity analysis of wake steering optimisation for wind farm power maximisation
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Multi-fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations
The value of wake steering wind farm control in U.S. energy markets
Wake steering optimization under uncertainty
From wake steering to flow control
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
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Optimizing Wind Farm Control through Wake Steering using Surrogate Models based on High Fidelity Simulations
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Multifidelity multiobjective optimization for wake-steering strategies
Field test of wake steering at an offshore wind farm
Sensitivity analysis of wake steering optimisation for wind farm power maximisation
Sensitivity analysis of wake steering optimisation for wind farm power maximisation
Multi-fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations
The value of wake steering wind farm control in U.S. energy markets
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From wake steering to flow control
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
Optimizing Wind Farm Control through Wake Steering using Surrogate Models based on High Fidelity Simulations
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