Stud.IP Uni Oldenburg
University of Oldenburg
22.09.2021 10:58:48
pre121 - Wind Energy Converters & Fluid Dynamics (Course overview)
Institute of Physics 12 KP
Module components Semester courses Sommersemester 2021 Examination
Lecture
  • Unlimited access 5.04.4071 - Fluid Dynamics II / Fluiddynamik II Show lecturers
    • Prof. Dr. Joachim Peinke

    Wednesday: 08:00 - 10:00, weekly (from 14/04/21)

    Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."

  • Unlimited access 5.04.4072 - Computational Fluid Dynamics I Show lecturers
    • Prof. Dr. Laura Lukassen

    Tuesday: 12:00 - 14:00, weekly (from 13/04/21)

    Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy

  • Unlimited access 5.04.4073 - Interdisciplinary Topics in Fluid Dynamics Show lecturers
    • Prof. Dr. Laura Lukassen

    Wednesday: 10:00 - 12:00, weekly (from 14/04/21)

    This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology.

  • Unlimited access 5.04.4074 - Computational Fluid Dynamics II Show lecturers
    • Dr. Bernhard Stoevesandt

    Tuesday: 12:00 - 16:00, weekly (from 01/06/21)

    Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."

  • Unlimited access 5.04.4234 - Wind Physics Measurement Project Show lecturers
    • Prof. Dr. Martin Kühn
    • Dr. Detlev Heinemann
    • Dr. Matthias Wächter, Dipl.-Phys.
    • Prof. Dr. Joachim Peinke
    • Dipl.-Ing. Andreas Hermann Schmidt

    Monday: 12:15 - 13:45, weekly (from 14/04/21)

    Case study like problems based on real wind 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 consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - 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 - bin-wise 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

Exercises
Notes for the module
Module examination
1 Prüfungsleistung: Klausur (3h) oder Präsentation (30 min.) oder mündliche Prüfung (45 min.) oder fachpraktische Übungen (max. 10) oder Hausarbeit (max. 30 Seiten)
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
-        Critically evaluate measured data