pre121 - Wind Energy Converters & Fluid Dynamics (Complete module description)
Module label | Wind Energy Converters & Fluid Dynamics |
Module code | pre121 |
Credit points | 12.0 KP |
Workload | 360 h |
Institute directory | Institute of Physics |
Applicability of the module |
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Skills to be acquired in this module | After successful completion of the module students should be able to: - Resolve fluid dynamic problems occurring in the field of wind energy converters - Measure characteristics of wind energy converters - Evaluate wind energy related measurements - Interpret such measurements gained in the field of wind energy applications |
Module contents | This module allows students to access wind energy from the hydrodynamic view angle of the wind resource. Computational Fluid Dynamics (CFD) I (Lecture ‑ 90 h workload) - Navier-Stokes equations - filtering / averaging of Navier- Stokes equations - introduction to numerical methods - finite- differences - finite-volume methods - linear equation systems - incompressible flows - compressible flows - C++ Computational Fluid Dynamics (CFD) II (Lecture ‑ 90 h workload) - Introduction to different CFD and Large Eddy Simulation (LES) models, such as OpenFOAM, PALM - Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer - Navier-Stokes solvers: RANS, URANS, LES, DNS - turbulent flows - efficiency and accuracy Fluid Dynamics II (Lecture ‑ 90 h workload) The unit is oriented towards research based topics: - Modeling turbulence ‑ CFD methods: Reynolds Equation, Eddy viscosity, Boundary layers flows, Large Eddy Simulation - Models of idealised turbulence and statistical methods: Hierarchies of moment equations, turbulence hypothesis, fine structure of turbulence, multi-fractal models, other. - Models of turbulence: cascade models and stochastic models and other hypothesis Wind Physics Measurement Project (Project ‑ 90 h workload) Case study like problems based on real world data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consists of the following four main topics, following the chronological order of the work process: - Data handling: - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing - Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. - Measure ‑ Correlate ‑ Predict (MCP): - averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. - LIDAR (Light Detection and Ranging): - analyses and conversion of data from LIDAR measurements
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Languages of instruction | German, English |
Duration (semesters) | 1 Semester |
Module frequency | |
Module capacity | unlimited |
Type of module | Wahlpflicht / Elective |
Module level | BC (Basiscurriculum / Base curriculum) |
Type of course | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 4 | SuSe and WiSe | 56 | |
Exercises | 4 | SuSe and WiSe | 56 | |
Total module attendance time | 112 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | 1 Prüfungsleistung: Klausur (3h) oder Präsentation (30 min.) oder mündliche Prüfung (45 min.) oder fachpraktische Übungen (max. 10) oder Hausarbeit (max. 30 Seiten) |