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Lecture
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2.01.5112 - Digitalised Energy System Modeling and Control
- Prof. Dr. Sebastian Lehnhoff
- Malin Radtke, M. Sc.
- Jörg Bremer
Tuesday: 14:00 - 16:00, weekly (from 08/04/25), Location: V04 0-033
Wednesday: 10:00 - 12:00, weekly (from 23/04/25), Location: A04 2-221
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2.01.5120 - Digitalised Energy System Co-Simulation
- Prof. Dr. Sebastian Lehnhoff
- Jörg Bremer
Monday: 12:00 - 14:00, weekly (from 07/04/25), Location: A14 1-113
Friday: 10:00 - 12:00, weekly (from 11/04/25), Location: A01 0-004
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2.01.591 - Smart Grid Research
- Prof. Dr. Sebastian Lehnhoff
- Malin Radtke, M. Sc.
- Jörg Bremer
Dates on Thursday, 10.04.2025, Thursday, 17.04.2025, Thursday, 24.04.2025, Thursday, 08.05.2025, Thursday, 15.05.2025, Thursday, 22.05.2, 025, Thursday, 05.06.2025, Thursday, 12.06.2025, Thursday, 19.06.2025, Thursday, 26.06.2025, Thursday, 03.07.2025, Thursday, 10.07.2025 12:15 - 13:45 ...(more)
Starting with a basic introduction to Smart Grids, participants are familiarized with the objectives, significance, history, and development of Smart Grids. This forms the basis for a deeper understanding of the key technologies and components used in Smart Grids.
In another part of the lecture, students learn the basics of research and acquire skills such as efficient reading of scientific publications.
To strengthen the practical and current relevance, ongoing research projects related to selected focus topics are presented concurrently. This allows students to gain insights into the latest developments and challenges in the field of Smart Grids.
Topics and key questions are issued at the beginning of the seminar, which are then progressively worked on in groups during the lectures. At the end of the course, there will be a poster session in which the groups will present the topics they have worked on using a scientific poster and answer questions.
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5.04.4065 - Advanced Wind Energy Meteorology
- Dr. Gerald Steinfeld, Dipl.-Met.
Wednesday: 12:00 - 14:00, weekly (from 09/04/25)
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5.04.4071 - Fluid Dynamics II / Fluiddynamik II
- Prof. Dr. Kerstin Avila Canellas
Friday: 10:00 - 12:00, weekly (from 11/04/25)
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."
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5.04.4072 - Computational Fluid Dynamics I
Tuesday: 12:00 - 16:00, weekly (from 08/04/25)
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
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5.04.4074 - Computational Fluid Dynamics II
- Dr. Bernhard Stoevesandt
- Dr. Hassan Kassem
Tuesday: 12:00 - 16:00, weekly (from 27/05/25)
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."
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5.04.4234 - Wind Physics Measurement Project
- Prof. Dr. Martin Kühn
- Matthias Wächter
- Dr. Gerald Steinfeld, Dipl.-Met.
- Dr.-Ing. Ignace Ransquin
Monday: 12:00 - 14:00, weekly (from 07/04/25)
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
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5.04.4235 - Design of Wind Energy Systems
- Prof. Dr. Martin Kühn
- David Onnen
Tuesday: 16:00 - 18:00, weekly (from 08/04/25), Location: W33 0-003
Thursday: 12:00 - 14:00, weekly (from 10/04/25), Location: W32 1-112
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.
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5.04.4243 b - Python Programming in Energy Science
- Balthazar Arnoldus Maria Sengers
- Dr. Hassan Kassem
- Lukas Vollmer
- Dr. Jonas Schmidt
- Sandra Schwegmann
Wednesday: 10:00 - 12:00, weekly (from 09/04/25)
We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops).
The course will be in English.
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5.06.M207 - Photovoltaic Systems
Thursday: 14:00 - 18:00, weekly (from 10/04/25)
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5.06.M211 - Solar Energy Meteorology
- Dr. Jorge Enrique Lezaca Galeano
- Dr. Thomas Schmidt
Monday: 16:00 - 18:00, weekly (from 07/04/25)
Tuesday: 14:00 - 16:00, weekly (from 08/04/25)
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.
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5.06.M213 - Wind Energy Applications - from Wind Resource to Wind Farm Applications
Friday: 08:00 - 10:00, weekly (from 11/04/25)
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
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5.06.M215 - Future Power Supply (Lecture)
- Prof. Dr. Carsten Agert
- Babak Ravanbach
Monday: 14:00 - 16:00, weekly (from 28/04/25)
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