- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Fast Yaw Optimization for Wind Plant Wake Steering Using Boolean Yaw Angles ; day:22 ; month:10 ; year:2021 ; pages:1-22 ; extent:22
Wind energy science discussions ; (22.10.2021), 1-22 (gesamt 22)
- Creator
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Stanley, Andrew P. J.
Bay, Christopher
Mudafort, Rafael
Fleming, Paul
- DOI
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10.5194/wes-2021-108
- URN
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urn:nbn:de:101:1-2021102805224724262131
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 AM CEST
Data provider
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Associated
- Stanley, Andrew P. J.
- Bay, Christopher
- Mudafort, Rafael
- Fleming, Paul
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On the importance of wind predictions in wake steering optimization
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Field test of wake steering at an offshore wind farm
Wake steering optimization under uncertainty
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
From wake steering to flow control
Fast yaw optimization for wind plant wake steering using Boolean yaw angles
Results from a Wake Steering Experiment at a Commercial Wind Plant: Investigating the Wind Speed Dependence of Wake Steering Performance
Wind tunnel testing of wake steering with dynamic wind direction changes
Wind tunnel testing of wake steering with dynamic wind direction changes
On the importance of wind predictions in wake steering optimization
On the importance of wind predictions in wake steering optimization
Field test of wake steering at an offshore wind farm
Wake steering optimization under uncertainty
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