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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 09/04/25), 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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2.01.515 - Intelligent Energy Systems
- Dr.-Ing. Eric Veith
- Jörg Bremer
Thursday: 14:00 - 16:00, weekly (from 10/04/25)
Thursday: 16:00 - 18:00, weekly (from 10/04/25)
Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).
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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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5.04.4072 - 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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5.04.4235 - 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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5.04.4239 - Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow
- Dr. Michael Hölling
- Thomas Messmer
Tuesday: 08:00 - 12:00, weekly (from 08/04/25)
The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis.
The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working.
In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel.
The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST).
In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods.
The seminar consists of three main phases:
1st phase: Preparational learning
• building up basic competences
• introduction to current research
• practical measurements of flows with different sensors in the wind tunnel
• evaluation methods of data of turbulent wind flows
2nd phase: Research-based learning
• defining own research questions
• defining an experimental strategy
• planning the experiment
• set-up, execution, data acquisition and decommissioning of experiments
3rd phase: Evaluation and documentation
• evaluating the experiments
• documentation with a short report (paper)
• presentation.
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5.04.4256 - Control of Wind Turbines and Wind Farms
Monday: 14:00 - 16:00, weekly (from 07/04/25), Location: W33 0-003
Tuesday: 10:00 - 12:00, weekly (from 08/04/25), Location: W32 1-112
The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections:
Section I: Introduction to control in wind energy
• Introduction to the governing physics
• Control objectives in wind energy
• Overview of the control system
Section II: Control oriented modelling
• Modelling in time domain
• Modelling in frequency domain
• Time and frequency response
Section III: Standard wind turbine control
• Torque and pitch control
• Tuning of a PI controller
• Stability analysis
• Control of coupled systems
Section IV: Advanced wind turbine control
• Advanced control design approaches
• State space control
• Estimation techniques
Section V: Wind farm control
• Wake control strategies
• Active power control
• Power maximization
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5.06.M203 - Simulation of Renewable Energy Systems
- Dr. Martin Knipper
- Dr.-Ing. Herena Torio
Friday: 10:00 - 12:00, weekly (from 11/04/25)
Introduction to Software for the Simulation of Renewable Energy Systems
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5.06.M205 - Laboratory: Performance of Renewable Energy
- Dr. rer. nat. Tanja Behrendt
- Andreas Günther
- Dr. Martin Knipper
Friday: 14:00 - 18:00, weekly (from 11/04/25)
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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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Seminar
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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 09/04/25), 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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2.01.515 - Intelligent Energy Systems
- Dr.-Ing. Eric Veith
- Jörg Bremer
Thursday: 14:00 - 16:00, weekly (from 10/04/25)
Thursday: 16:00 - 18:00, weekly (from 10/04/25)
Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).
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2.12.042 - Ecological Economics
- Prof. Dr. Bernd Siebenhüner
- Dr. Hendrik Wolter
Monday: 10:00 - 14:00, fortnightly (from 07/04/25)
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5.04.4239 - Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow
- Dr. Michael Hölling
- Thomas Messmer
Tuesday: 08:00 - 12:00, weekly (from 08/04/25)
The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis.
The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working.
In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel.
The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST).
In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods.
The seminar consists of three main phases:
1st phase: Preparational learning
• building up basic competences
• introduction to current research
• practical measurements of flows with different sensors in the wind tunnel
• evaluation methods of data of turbulent wind flows
2nd phase: Research-based learning
• defining own research questions
• defining an experimental strategy
• planning the experiment
• set-up, execution, data acquisition and decommissioning of experiments
3rd phase: Evaluation and documentation
• evaluating the experiments
• documentation with a short report (paper)
• presentation.
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5.06.M203 - Simulation of Renewable Energy Systems
- Dr. Martin Knipper
- Dr.-Ing. Herena Torio
Friday: 10:00 - 12:00, weekly (from 11/04/25)
Introduction to Software for the Simulation of Renewable Energy Systems
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5.06.M216 - Future Power Supply (Seminar)
- Prof. Dr. Carsten Agert
- Babak Ravanbach
Wednesday: 14:00 - 16:00, weekly (from 09/04/25)
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Exercises
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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 09/04/25), 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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2.01.515 - Intelligent Energy Systems
- Dr.-Ing. Eric Veith
- Jörg Bremer
Thursday: 14:00 - 16:00, weekly (from 10/04/25)
Thursday: 16:00 - 18:00, weekly (from 10/04/25)
Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).
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5.04.4072 Ü1 - Exercises to Computational Fluid Dynamics I
- Marcel Bock
- Gabriele Centurelli
Thursday: 16:00 - 18:00, weekly (from 10/04/25)
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5.04.4074 Ü1 - Exercises to Computational Fluid Dynamics II
- Gabriele Centurelli
- Marcel Bock
Thursday: 16:00 - 18:00, weekly (from 05/06/25)
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5.04.4239 - Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow
- Dr. Michael Hölling
- Thomas Messmer
Tuesday: 08:00 - 12:00, weekly (from 08/04/25)
The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis.
The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working.
In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel.
The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST).
In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods.
The seminar consists of three main phases:
1st phase: Preparational learning
• building up basic competences
• introduction to current research
• practical measurements of flows with different sensors in the wind tunnel
• evaluation methods of data of turbulent wind flows
2nd phase: Research-based learning
• defining own research questions
• defining an experimental strategy
• planning the experiment
• set-up, execution, data acquisition and decommissioning of experiments
3rd phase: Evaluation and documentation
• evaluating the experiments
• documentation with a short report (paper)
• presentation.
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5.06.M203 - Simulation of Renewable Energy Systems
- Dr. Martin Knipper
- Dr.-Ing. Herena Torio
Friday: 10:00 - 12:00, weekly (from 11/04/25)
Introduction to Software for the Simulation of Renewable Energy Systems
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5.06.M205 - Laboratory: Performance of Renewable Energy
- Dr. rer. nat. Tanja Behrendt
- Andreas Günther
- Dr. Martin Knipper
Friday: 14:00 - 18:00, weekly (from 11/04/25)
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5.06.M207 Ü - Exercise to Photovoltaic Systems
Wednesday: 08:00 - 10:00, weekly (from 16/04/25)
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5.06.M211 Ü - Exercise to Solar Energy Meteorology
- Dr. Jorge Enrique Lezaca Galeano
- Dr. Thomas Schmidt
- Andreas Günther
Monday: 14:00 - 16:00, weekly (from 07/04/25)
Wednesday: 14:00 - 16:00, weekly (from 09/04/25)
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.
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