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ENGS9BB.F
Turbulence and wind energy
| Credits : 2 ECTS Duration : 21 hours | Semester : S9 |
Person(s) in charge: Emmanuel Plaut, professor
http://emmanuelplaut.perso.univ-lorraine.fr/welcome-e.htm Michaël Hölling, associate researcher at ForWind, universität Oldenburg (with Erasmus+ support) http://www.forwind.de |
Keywords: deterministic models, stochastic models |
Prerequisites: fluid dynamics elementary course |
Objective: learn advanced turbulence modeling, with a focus on wind energy systems, that always operate under turbulent conditions. |
Program and contents: Advanced turbulence modelling is introduced, with deterministic then stochastic models. - Advanced Reynolds Averaged Navier-Stokes (RANS) models
In order to motivate the need for more sophisticated RANS models, the weaknesses of the `standard' k – ε model are evidenced, by comparisons with recent direct numerical simulations (DNS). Improved k – ε models or alternative k – ω models are then introduced.
Large Eddy Simulations (LES)
The failures of RANS models to describe some turbulent flows with large dynamic eddies is exemplified. LES is then introduced. A glimpse at hybrid RANS – LES methods concludes this first part of the module.
Stochastic models, especially, in the context of wind energy In this context, knowing that the wind in the atmospheric boundary layer is always turbulent, the small scale statistics of turbulent flows is reviewed, with a focus on the intermittency phenomena and extreme events like `wind gusts'. During this second part of the module, the principles of wind energy conversion and the technology of wind turbines are also presented. The International Electrotechnical Commission (IEC) standards to evaluate power curves and annual energy production of a given wind turbine is introduced. The limitations of this approach is discussed and more accurate stochastic approaches are introduced, which lead for instance to the notion of `Langevin power curves'.
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Abilities: |
Levels | Description and operational vocabulary
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Know
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Understand
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Apply |
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Analyze |
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Summarize |
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Assess
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Evaluation: |
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