pre064 - Renewable Energy Complementary Topics and Transferable Skills (Veranstaltungsübersicht)

pre064 - Renewable Energy Complementary Topics and Transferable Skills (Veranstaltungsübersicht)

Institut für Physik 6 KP
Modulteile Semesterveranstaltungen Sommersemester 2024 Prüfungsleistung
Vorlesung
  • Uneingeschränkter Zugang 2.01.5112 - Digitalised Energy System Modeling and Control Lehrende anzeigen
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer
    • Malin Radtke, M. Sc.

    Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: A14 1-113, V03 0-D002
    Mittwoch: 10:00 - 12:00, wöchentlich (ab 17.04.2024), Ort: A04 2-221
    Termine am Mittwoch, 24.07.2024, Freitag, 26.07.2024, Mittwoch, 31.07.2024, Freitag, 02.08.2024 10:00 - 15:00, Mittwoch, 07.08.2024 09:00 - 17:00, Ort: (OFFIS O50)
  • Uneingeschränkter Zugang 2.01.5120 - Digitalised Energy System Co-Simulation Lehrende anzeigen
    • Jörg Bremer
    • Prof. Dr. Sebastian Lehnhoff

    Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024), Ort: A01 0-005
    Freitag: 10:00 - 12:00, wöchentlich (ab 05.04.2024), Ort: A05 1-159
  • Uneingeschränkter Zugang 5.04.4065 - Advanced Wind Energy Meteorology Lehrende anzeigen
    • Dr. Gerald Steinfeld, Dipl.-Met.

    Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)
  • Uneingeschränkter Zugang 5.04.4071 - Fluid Dynamics II / Fluiddynamik II Lehrende anzeigen
    • Prof. Dr. Joachim Peinke

    Mittwoch: 08:00 - 10:00, wöchentlich (ab 03.04.2024)
    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."
  • Uneingeschränkter Zugang 5.04.4072 - Computational Fluid Dynamics I Lehrende anzeigen
    • Dr. Bernhard Stoevesandt
    • Hassan Kassem

    Dienstag: 12:00 - 16:00, wöchentlich (ab 02.04.2024)
    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
  • Uneingeschränkter Zugang 5.04.4074 - Computational Fluid Dynamics II Lehrende anzeigen
    • Dr. Bernhard Stoevesandt
    • Hassan Kassem

    Dienstag: 12:00 - 16:00, wöchentlich (ab 21.05.2024)
    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."
  • Uneingeschränkter Zugang 5.04.4234 - Wind Physics Measurement Project Lehrende anzeigen
    • Prof. Dr. Martin Kühn
    • Matthias Wächter
    • Dr. Gerald Steinfeld, Dipl.-Met.
    • Dr. Ignace Ransquin

    Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024)
    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
  • Uneingeschränkter Zugang 5.04.4235 - Design of Wind Energy Systems Lehrende anzeigen
    • Prof. Dr. Martin Kühn
    • David Onnen
    • Daniel Ribnitzky

    Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: W01 0-008 (Rechnerraum)
    Donnerstag: 12:00 - 14:00, wöchentlich (ab 04.04.2024), Ort: W02 1-148
    The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines.
  • Uneingeschränkter Zugang 5.04.4243 b - Python Programming in Energy Science II - A Python course for scientists Lehrende anzeigen
    • Balthazar Arnoldus Maria Sengers
    • Hassan Kassem
    • Lukas Vollmer
    • Dr. Martin Dörenkämper
    • Dr. Jonas Schmidt

    Mittwoch: 10:00 - 12:00, wöchentlich (ab 03.04.2024)
    Termine am Mittwoch, 26.06.2024 10:15 - 11:15
    This is part two of a two-part python course. Successful completion of the first part (5.04.4243 a Python Programming in Energy Science I) or equivalent is required to enroll in this course! This will be checked during the first lecture. The course will be in English. The course will consist of a few lectures on advanced topics, followed by final group project on a topic related to wind energy.
  • Uneingeschränkter Zugang 5.06.M207 - Photovoltaic Systems Lehrende anzeigen
    • Dr. Martin Knipper

    Donnerstag: 14:00 - 18:00, wöchentlich (ab 04.04.2024)
  • Uneingeschränkter Zugang 5.06.M211 - Solar Energy Meteorology Lehrende anzeigen
    • Jorge Enrique Lezaca Galeano
    • Dr. Thomas Schmidt

    Dienstag: 14:00 - 16:00, wöchentlich (ab 02.04.2024)
    Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024)
    Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute.
  • Uneingeschränkter Zugang 5.06.M213 - Wind Energy Applications - from Wind Resource to Wind Farm Applications Lehrende anzeigen
    • Dr. Hans-Peter Waldl

    Freitag: 08:00 - 10:00, wöchentlich (ab 05.04.2024)
    The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production
  • Uneingeschränkter Zugang 5.06.M215 - Future Power Supply (Lecture) Lehrende anzeigen
    • Prof. Dr. Carsten Agert
    • Babak Ravanbach

    Montag: 14:00 - 16:00, wöchentlich (ab 15.04.2024)
    Termine am Mittwoch, 10.04.2024 14:00 - 16:00
Seminar
  • Uneingeschränkter Zugang 2.01.5112 - Digitalised Energy System Modeling and Control Lehrende anzeigen
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer
    • Malin Radtke, M. Sc.

    Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: A14 1-113, V03 0-D002
    Mittwoch: 10:00 - 12:00, wöchentlich (ab 17.04.2024), Ort: A04 2-221
    Termine am Mittwoch, 24.07.2024, Freitag, 26.07.2024, Mittwoch, 31.07.2024, Freitag, 02.08.2024 10:00 - 15:00, Mittwoch, 07.08.2024 09:00 - 17:00, Ort: (OFFIS O50)
  • Kein Zugang 2.12.042 - Ecological Economics Lehrende anzeigen
    • Prof. Dr. Bernd Siebenhüner
    • Dr. Hendrik Wolter

    Montag: 10:00 - 14:00, zweiwöchentlich (ab 15.04.2024), Ort: A10 1-121 (Hörsaal F)
    Termine am Montag, 08.04.2024 10:00 - 14:00, Dienstag, 30.04.2024 10:00 - 12:00, Ort: V03 0-D001, (A10 Hörsaal F (bei VA 2.12.075))
  • Kein Zugang 2.13.075 - Earth System Governance Lehrende anzeigen
    • Prof. Dr. Bernd Siebenhüner
    • Dr. Hendrik Wolter

    Montag: 10:00 - 14:00, zweiwöchentlich (ab 08.04.2024), Ort: A10 1-121 (Hörsaal F)
    Termine am Dienstag, 30.04.2024 12:00 - 14:00, Ort: V03 0-D001
  • Uneingeschränkter Zugang 5.04.4587 - Advanced CFD and wind turbine aerodynamics Lehrende anzeigen
    • Dr. Bernhard Stoevesandt

    Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)
    The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation
  • Eingeschränkter Zugang 5.06.M216 - Future Power Supply (Seminar) Lehrende anzeigen
    • Prof. Dr. Carsten Agert
    • Babak Ravanbach

    Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)
Übung
  • Uneingeschränkter Zugang 2.01.5112 - Digitalised Energy System Modeling and Control Lehrende anzeigen
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer
    • Malin Radtke, M. Sc.

    Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: A14 1-113, V03 0-D002
    Mittwoch: 10:00 - 12:00, wöchentlich (ab 17.04.2024), Ort: A04 2-221
    Termine am Mittwoch, 24.07.2024, Freitag, 26.07.2024, Mittwoch, 31.07.2024, Freitag, 02.08.2024 10:00 - 15:00, Mittwoch, 07.08.2024 09:00 - 17:00, Ort: (OFFIS O50)
  • Uneingeschränkter Zugang 2.01.5120 - Digitalised Energy System Co-Simulation Lehrende anzeigen
    • Jörg Bremer
    • Prof. Dr. Sebastian Lehnhoff

    Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024), Ort: A01 0-005
    Freitag: 10:00 - 12:00, wöchentlich (ab 05.04.2024), Ort: A05 1-159
  • Uneingeschränkter Zugang 5.04.4071 Ü - Übung zu Fluid Dynamics II / Fluiddynamik II Lehrende anzeigen
    • Prof. Dr. Joachim Peinke

    Mittwoch: 10:00 - 12:00, wöchentlich (ab 03.04.2024)
  • Uneingeschränkter Zugang 5.04.4072 Ü1 - Exercises to Computational Fluid Dynamics I Lehrende anzeigen
    • Dr. Bernhard Stoevesandt
    • Hassan Kassem
    • Marcel Bock
    • Gabriele Centurelli

    Donnerstag: 16:00 - 18:00, wöchentlich (ab 04.04.2024)
  • Uneingeschränkter Zugang 5.04.4074 Ü1 - Exercises to Computational Fluid Dynamics II Lehrende anzeigen
    • Dr. Bernhard Stoevesandt
    • Hassan Kassem

    Donnerstag: 16:00 - 18:00, wöchentlich (ab 23.05.2024)
  • Kein Zugang 5.06.M211 Ü - Exercise to Solar Energy Meteorology Lehrende anzeigen
    • Jorge Enrique Lezaca Galeano
    • Dr. Thomas Schmidt
    • Andreas Günther

    Montag: 14:00 - 16:00, wöchentlich (ab 08.04.2024)
    Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)
    Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology.
Hinweise zum Modul
Prüfungsleistung Modul

2 exams depending on the selected courses
Kompetenzziele

After completing the module students will be able to:

  • describe basic knowledge in a wide field of disciplines which complements the topics related to renewable energy
  • justify their personal decision on educational fields for their career development