ENGS9BB.F Turbulence and wind energy | Credits : 2 ECTS Duration : 21 hours | Semester : S9 | ||
Persons 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) | ||||
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.
Please check the web page of this module on http://emmanuelplaut.perso.univ-lorraine.fr/turbuwe : it sketches the planning of this module, gives instructions and files, etc... In particular, students will use the statistical computing software R on their laptop, to study various `turbulence data bases'. | ||||
Abilities: | ||||
Levels | Description and operational vocabulary | |||
Know | Hybrid RANS - LES methods. Be aware of current research in the domain of CFD of turbulent flows | |||
Understand | The RANS approach - the LES approach - Strengths and weaknesses of each approach The notion of intermittency and extreme events | |||
Apply | The RANS approach - the LES approach | |||
Analyze | The RANS approach - the LES approach Analyze a velocity time series: be able to extract mean and standard deviation values, a PDF of the velocity and of the velocity increments, etc... Analyze a wind time series: construct the IEC power curve | |||
Summarize | ||||
Assess | Choose a good approach - model to solve numerically a given turbulent flow problem | |||
Evaluation: | ||||
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