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Master Elektrotechnik und Energiesysteme

Fast facts

  • Department

    Elektrotechnik

  • Stand/version

    2024

  • Standard period of study (semester)

    4

  • ECTS

    120

Study plan

  • Compulsory elective modules 2. Semester

  • Compulsory elective modules 4. Semester

Module overview

1. Semester of study

Höhere Mathematik
  • PF
  • 6 SWS
  • 8 ECTS

  • Number

    3010

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

After completing this module, students will be able to
 - reproduce important definitions and theorems of the basics of complex analysis and complex differential calculus
and verify and apply them in examples;
 - calculate complex integrals and calculate improper real integrals using the residue theorem;
 - recognize the practical benefits of the theory of complex functions and conformal mappings for applications in electrical engineering;

Students acquire the competence to grasp, mathematically formulate and solve problems from higher mathematics that go beyond the compulsory subject matter of Mathematics I and Mathematics II. They can apply their mathematical knowledge to technical problems and solve them analytically. The handling and familiarity gained with mathematical methods and ways of thinking leads to the acquisition of skills that help students far beyond purely technical aspects. They learn structured and logical problem analysis and problem-solving techniques as well as critical and comprehensive questioning. This is one of the key skills in the engineering profession.

Contents

Basic concepts of complex analysis
 - Limits, continuity, complex functions, conformal mappings
Differentiability in the complex
 - Holomorphic functions, Cauchy-Riemann differential equations,
 - Singular points
Line and curve integral, total differential
Integration in the complex
 - Cauchy's integral theorem, Cauchy's integral formulas
Series, power series, Taylor series
 - Real series, complex series
Laurent series
 - Laurent's theorem, classification of singularities
The residue theorem with applications
 - The residue theorem
 - Applications: Improper integrals, Fourier integrals,
 - Integrals with infinity points in the integrand

Teaching methods

A lecture conveys the essential knowledge of function theory. The theoretical foundations are supported by numerous examples and exercises/control questions. In the exercises, students work independently to solve problems.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics I + Mathematics II (from Bachelor's degree program)

Forms of examination

Exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Spiegel, Murray R. : Komplexe Variablen, 1977, Schaum's Outline, McGraw-Hill, ISBN 0-07-092016-8
Kreyszig, Erwin : Advanced Engineering Mathematics 9th Edition, 2006, John Wiley and Sons
Papula, Lothar : Mathematik für Ingenieure und Naturwissenschaftler, Band 2, Springer Vieweg, 2015 (14. Auflage), ISBN 978-3-658-07789-1
Papula, Lothar : Mathematik für Ingenieure und Naturwissenschaftler, Band 3, Springer Vieweg, 2016 (7. Auflage), ISBN 978-3-658-11923-2
Papula, Lothar :  Mathematik für Ingenieure und Naturwissenschaftler - Anwendungsbeispiele, Springer Vieweg, 2015 (7. Auflage), ISBN 978-3-658-10106-0
Needham Tristan : Anschauliche Funktonentheorie, 2001, Oldenbourg Wissenschaftverlag GmbH, ISBN 3-486-24578-3

Projektarbeit 1
  • PF
  • 6 SWS
  • 6 ECTS

  • Number

    3110

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30h

  • Self-study

    150h


Learning outcomes/competences

Students are able to work on a limited engineering task from the chosen specialization largely independently and systematically. They are able to independently grasp and delimit a technical task in theory and practice and identify and process the necessary task packages to solve the problem. To do this, they apply the usual methods of information procurement. Students can work together in a team and coordinate and discuss procedures and work results. Students are able to prepare and present their own work in writing and represent their approach and results to others.

Contents

The topic and content of project work 1 is determined in consultation with a supervising professor of the Energy Systems study program. In addition to the implementation of the task, the completion of project work 1 also includes its documentation and presentation.

Teaching methods

Students work on the topic of Project 1 largely independently and receive organizational support from the faculty's academic staff. In addition, regular seminars are held with the supervising professor and the research assistants. The project work is preferably linked to larger project topics, which are worked on by the laboratory or specialist groups. In this way, project teams can work on different subtasks in the laboratories.
The content of project work 1 can be coordinated with the supervising professor in a laboratory or specialist group at the university or alternatively at an external industrial company.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Module examination Project documentation (70%) and colloquium (30%)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

4,00%

Literature

/

Antriebssystemtechnik
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3040

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have in-depth theoretical knowledge of the characteristics of power electronic and electromechanical systems as well as control systems and have understood their interrelationships based on their basic knowledge.

Contents

Power electronic and electromechanical systems:
The course "Power Electronic and Electromechanical Systems" examines the dimensioning and use of electromechanical drive systems and the interactions between the individual components. Topics include electrical machines, mechanical elements, power electronic components and controllers, which are identified, analyzed and simulated using design methods, planning tools and software tools. Practical investigations supplement and deepen the course content.

Contents:
- Electrical and mechanical components of a drive system
- Planning and design methods
- Application-oriented dimensioning of drive systems
- Network feedback and interaction of components

Control systems:
In the course "Control Systems", the basics of control engineering are briefly repeated and the control theory for multi-variable systems is dealt with. Topics include state space representation, state controllers and observers as well as their designs, applications and implementations, which are discussed using selected practical examples and simulated with the aid of computers.

Contents:
- Forms of description and properties of dynamic systems
- Stability criteria
- Design of state control and observation
- Implementation of observer-based state control
- Application examples

Teaching methods

Seminar-based course, practical metrological investigations on electric drives, simulation calculations (EMTP, Simplorer or MicroCap) as a practical computer course.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Specovius, J.: Grundkurs Leistungselektronik, Bauelemente, Schaltungen und Systeme,
2. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2008
Brosch, P. F.: Moderne Stromrichterantriebe,
5. Auflage, Vogel Buchverlag Würzburg, 2008
Riefenstahl, U.: Elektrische Antriebssysteme,
2. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2006
Kremser, A.: Elektrische Maschinen und Antriebe,
3. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2008
Zacher, S.; Reuter, M.: Regelungstechnik für Ingenieure,
13. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2011
Unbehauen, Heinz: Regelungstechnik I
Unbehauen, Heinz: Regelungstechnik II
Unbehauen, Heinz: Regelungstechnik III
Föllinger, Otto: Regelungstechnik


 

Controlling und Managementplanspiel
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3260

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have expanded their commercial competence in operational and strategic controlling. They have mastered the methodological basics of controlling and project controlling in particular and can apply them. They know the individual controlling processes and their interdependencies.
Students have a basic understanding of strategic management. They understand the interdependencies between companies and markets and can derive long-term strategies from this. They will be able to implement these strategies in short and medium-term planning, taking market conditions into account.

Contents

Ideally building on the Energy Business Management module, knowledge in the areas of: Fundamentals of controlling, cost and performance controlling, key performance indicator systems, planning and reporting systems as well as strategic controlling and project controlling. The understanding of the role of the controller and the sub-processes of controlling, such as strategic vision, operational planning and forecasting, are also covered. Application examples complement the course.
In strategic management, the strategy development process is taught via the formation of strategic goals, the strategic analysis of the company and its environment, strategy formulation and strategy implementation. Both the methodological principles and the most important developments and challenges are presented. In the management game, students lead a company in competition as members of the board of directors. Over a period of up to 8 planning years, they have to translate their previously developed strategic goals into concrete plans and apply the knowledge they have learned in concrete decision-making.

Teaching methods

Lectures with exercises and business simulation

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Energy Business Administration

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Horváth, P.: Controlling, 11. Auflage München 2009
Camphausen, B.: Strategisches Management: Planung, Entscheidung, Controlling, Oldenbourg Verlag München, 2013
Däumler, K.-D.; Gräbe, J.: Kostenrechnung 1-3, NWB Verlag, 2013
Döring, U.; Buchholz, R.: Buchhaltung und Jahresabschluss: mit Aufgaben und Lösungen, Erich Schmidt Verlag, 2013
Freidank, C.: Kostenrechnung, 8. Auflage, München, Wien 2008
Haberstock, L.; Breithecker, V.: Kostenrechnung I., 13. Auflage, Erich Schmidt Verlag, Wiesbaden 2008
Haberstock, L.; Breithecker, V.: Kostenrechnung II., (Grenz-) Plankostenrechnung, 10. Auflage, Erich Schmidt Verlag, Wiesbaden 2008
Hutschenreuther, Th.: Allgemeine Betriebswirtschaftslehre: Grundlagen mit zahlreichen Praxisbeispielen, Springer Gabler, 2013
Reichmann, T.: Controlling mit Kennzahlen und Managementberichten – Grundlagen einer systemgestützten Controlling Konzeption, 7. Auflage, München 2006
Schreyögg, G.: Grundlagen des Managements: Basiswissen für Studium und Praxis, Gabler, 2010
Thommsen, J.-P.; Achleitner, A.-K.: Allgemeine Betriebswirtschaftslehre: Umfassende Einführung aus managementorientierter Sicht, 7. Auflage, Springer Gabler, 2012
Teilnehmerhandbuch zum Planspiel TOPSIM General Management II in der jeweils aktuellen Version der Fa. Tata Interactive Systems, Tübingen
Weber, J.; Schäffer, U.: Einführung in das Controlling, 12. Auflage, Stuttgart 2008

Dezentrale Energiesysteme
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3270

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Content:
Students learn about an important element of future energy supply based on a case study, district concepts and decentralized systems in general. They understand the requirements of the changing energy world, which is increasingly integrating smaller generation units and flexible consumers as well as storage systems.
You will know the characteristics of the various decentralized systems for electricity and heat generation in particular. You will understand the different technical concepts for electricity storage. This also includes the concepts that use heat storage for the flexibility of electricity generation and use. They understand the requirements for communication and control technology resulting from the aggregation of many decentralized generation and storage systems and flexible consumers.
Students understand the Business Studies requirements for decentralized systems and possible business models for the interaction of market participants. They learn the various interfaces and applications for decentralized systems from the perspective of the players in the energy supply: Generation, trade, sales and grids, as well as from the perspective of users in companies and administration. They are familiar with the different markets for decentralized systems and know the prerequisites for becoming successfully active in these markets. Alternative marketing and utilization concepts, such as direct delivery and self-consumption and their economic evaluation are understood.
Methodological:
Students will be able to model, optimize and economically evaluate decentralized systems using simulation software commonly used in the market. The create a case study on the implementation of decentralized energy supply concepts. As part of this case study, they will deal with both technical concepts and methods of economic evaluation.
Personal/social:
The students work on a selected topic in a team and present it together.
With the question of decentralized energy supply in new and existing neighborhoods, students deal with current problems of the energy transition in the focus of climate change and can classify and communicate the socio-political relevance of the topic.

Contents

Technology
Energy generation and storage systems and other flexibility mechanisms
- Technology of decentralized energy generation (photovoltaics, wind, biomass, ...)
- Electricity storage technology (pumped storage, batteries, compressed air storage, methane and hydrogen storage, ...)
- Examples of flexible consumers (electrolysis, electromobility,  ...)
- Concepts of mixed systems (CHP or heat pumps with heat storage, ...)
- Communication and control of decentralized systems

Business Studies
- Energy markets and marketing potential for decentralized generation, storage and flexibility
- Markets for energy, market roles and contractual communication
- Business models for the defined market roles
- Business Studies on the optimization of decentralized systems

Modeling of decentralized systems
- Introduction to the TOP Energy software used
- Modeling of the case studies
- Simulation and optimization
- Economic/technical evaluation

Teaching methods

Lectures and exercises:
The theoretical technical and methodological knowledge is presented and explained in the lecture. The students create a case study with which they demonstrate their technical and methodological knowledge. The preparation of this study is accompanied in the exercises.  
Internship:
The internship provides practical experience of elements of project management and familiarization with elements of energy management.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Team presentation based on an elaboration created in the team  

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

'Albersmann, J. et al.: Virtuelle Kraftwerke als wirkungsvolles Instrument für die Energiewende, PricewaterhouseCoopers, 2012
Graeber, D.R.: Handel mit Strom aus erneuerbaren Energien, Springer Gabler, Wiesbaden, 2014
Ströbele, W.; Pfaffenberger, W.; et al: Energiewirtschaft: Einführung in Theorie und Politik , 4. Auflage, Oldenbourg Verlag, 2020
Konstantin, Panos: Praxisbuch Energiewirtschaft, 4. Auflage, Springer Vieweg, 2017
Zenke, I.; Wollschläger, St.; Eder. J. (Hrsg): Preise und Preisgestaltung in der Energiewirtschaft, De Gruyter, Berlin, 2015
Quaschning, V., „Eneuerbare Energien und Klimaschutz“, Hanser Verlag 2013
Schmiegel, A, „Energiespeicher für die Energiewende“, Hanser Verlag 2019
Karle, A.,“Elektromobilität – Grundlagen und Praxis“, Hanser Verlag 2018

Elektrische Energiequellen
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3330

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students know the characteristic properties, applications and requirements of electrical generation systems and can compare and contrast them. They are able to describe electrical generation systems technically and name characteristic operating cases, as well as identify operating limits. You will master their basic design  and be able to calculate them.

Students know the properties of energy storage technologies, can describe them and have the knowledge to compare different technologies with each other.
They are proficient in the mathematical design of electrical energy storage systems and can identify operating limits.

Contents

Electrical power generation plants:
- Conventional power generation (lignite & hard coal-fired power plants, nuclear power plants)
- Gas-fired power plants
- Combined heat and power plants (combined heat and power plants, industrial power plants, fuel cells)
- Renewable power generation (hydropower, photovoltaic and wind power as well as solar thermal and marine power plants)
- General description of the technologies and any characteristic differences (e.g. modes of operation depending on electrical output, etc.)
- Special properties of the generation components (generators): Reactive power capability, efficiency characteristics
- Use of generation plants: active power output, partial load operation, phase shifter operation, operation and maintenance Management of maintenance projects

Energy storage systems:
- Areas of application for electrical storage
- Mechanical energy storage (pumped storage power plants, compressed air storage, flywheel storage)
- Electrical energy storage systems (capacitors, double-layer capacitors, superconducting coils)
- Electrochemical storage systems (hydrogen, batteries)
- Basic concepts of electrical energy storage (capacity, on/off storage power, charge factor, round-trip efficiency, state of charge)
- Battery storage system technology: components of a battery storage system, battery management systems, measurement technology, power electronics

 

Teaching methods

Seminar lecture
Seminar presentation (optional)

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written exam
Oral examination
Presentation

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Unterlagen zur Vorlesung
V. Quaschning: "Regenerative Energiesysteme", Carl Hanser Verlag, 2015
M. Kaltschmitt, W.Streicher, A.Wiese, "Erneuerbare Energien - Systemtechnik, Wirtschaftlichkeit, Umweltaspekte", Springer Verlag 2014
A.U. Schmiegel, "Energiespeicher für die Energiewende", Carl-Hanser-Verlag 2019
R. Korthauer, "Handbuch Lithium-Ionen-Batterien", Springer Vieweg Verlag 2013
A. Jossen, W. Weydanz, "Moderne Akkumulatoren richtig einsetzen", Matrix Media 2019
P. Kurzweil, "Elektrochemische Speicher: Superkondensatoren, Batterien, Elektrolyse-Wasserstoff, Rechtliche Rahmenbedingungen", Carl-Hanser-Verlag 2018

Elektronik und Sensorik
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3050

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students are familiar with the structure, function and requirements of electronic systems in the field of automation technology. They know how information is recorded, processed, evaluated and passed on in automation technology. They know components for the automation of production systems and are able to understand how they interact and communicate with each other. In addition, they can analyze problems in production measurement technology and develop basic solutions for them. They are familiar with different measuring principles and sensor systems, as well as methods for increasing the resolution and accuracy of the measured variables and can apply them.
Students are able to analyze and discuss technical problems independently and in small groups and present the results. They are familiar with different types of communication and presentation techniques and can apply these in professional practice.

Contents

Industrial electronics event:
- Automation technology systems and components
- Requirements for electronic components in automation technology
- Distance sensors in automation technology
- Optical transmitters
- Reliability of devices and systems
- Industrial communication and interfaces (e.g. AS-Interface, Profibus, IO-Link)
- Risk analysis in electronics and automation technology (e.g. Failure Modes and Effects Analysis; FMEA),

Measurement systems event:
- Important basic terms and methods of production measurement technology
- Basic principles of analog and digital processing of sensor signals
- Components of signal processing and conversion
- Systems and components for signal generation and detection
- Measurement and testing technology for non-destructive testing
- Design and function of selected measurement systems in automation technology (e.g. NMR measurement system)

Teaching methods

Seminar-based course with application examples from industrial practice. Selected specialist content is developed independently by the students and presented in a practice-relevant form (e.g. team meeting, online meeting). The technical and methodological knowledge acquired is further deepened in exercises using suitable problems and tasks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Gevatter, Hans-Jürgen: Handbuch der Mess- und Automatisierungstechnik in der Produktion, Springer Verlag
Heinrich, Berthold: Grundlagen Automatisierung, Springer Verlag
Hering, Ekbert; Martin, Rolf: Photonik, Springer Verlag
Hesse, Stefan: Sensoren für die Prozess- und Fabrikautomation, Springer Verlag
Jahns, Jürgen: Photonik, Oldenbourg Wissenschaftsverlag
Keferstein, Claus P.: Fertigungsmesstechnik, Springer Verlag
Schiffner, Gerhard: Optische Nachrichtentechnik, Springer Verlag
Schnell, Gerhard: Bussysteme in der Automatisierungs- und Prozesstechnik, Vieweg+Teubner Verlag
Werdich, Martin: FMEA - Einführung und Moderation, Vieweg+Teubner Verlag
Wratil, Peter; Kieviet, Michael: Sicherheitstechnik für Komponenten und Systeme, VDE Verlag
Meyer, Martin: Signalverarbeitung, Springer Verlag
Blümich, Bernhard; Haber-Pohlmeier, Sabina; Zia, Wasif: Compact NMR, De Gruyter Verlag
Diverse wissenschaftliche Veröffentlichungen

Energieautomation
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3240

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have acquired detailed knowledge of secondary technology in substations and the control and monitoring of supply networks. They are able to apply technical and operational concepts for network control and monitoring and are familiar with the possibilities of computer-aided network management. The focus here is on standardizing the interfaces of modern energy information systems and modelling the process. Higher decision and optimization functions (HEO) and the dynamic behavior of frequency power control are considered in the context of grid management.
In addition to specialist knowledge, students also acquire key qualifications in this module.

 

Contents

Network management:
- Structural design of network control and telecontrol equipment
- Process data communication based on the IEC 60870-5-104 communication standard
- SCADA functions and process visualization (world views, zooming / decluttering, operating windows and alarm concepts)
- HEO functions: Power flow calculation (Newton-Raphson method), Optimal Power Flow (OPF) and State Estimation
- Frequency power control in island and interconnected grids

Secondary technology and grid automation:
- Tasks of protection technology and station automation in the overall context of grid control technology and grid management
- The process to be managed with its equipment and information technology modeling at process, field, station and grid control level
- Control technology interfaces and development from the signal-oriented view of the IEC 60870 communication standard to the abstract information modeling of the IEC 61850 system standard
- Fundamentals of XML-based data descriptions and their application for system descriptions with the "Substation Configuration Description Language, SCL"
- Engineering and test tools, project processes
- Applications for station and network automation

 

Teaching methods

Seminar-based course, practical implementation of IEC 61850 system engineering from specification and system configuration to device parameterization. System modeling with Scilab/Xcos is carried out as part of the network management.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Normenreihe IEC 60870-5 „Fernwirkeinrichtungen und –systeme“
Normenreihe IEC 61850 „Communication networks and systems for power utility automation“, Edition 2, 2010
Brand, K.-P.; Lohmann, V.; Wimmer, W.: Substation Automation Handbook,
Jütte-Messedruck Leipzig, 2003
Schwab, A. J.: Elektroenergiesysteme, Springer Vieweg
Oeding D., Oswald, B.R.: Elektrische Kraftwerke und Netze, Springer
Heuck, K., Dettmann, K.D., Schulz, D.: Elektrische Energieversorgung, Springer Vieweg
Handschin, E. Elektrische Energieübertragungssysteme, Hüthig
Crastan, V., Westermann, D.: Elektrische Energieversorgung 3, Springer
Buchholz B. M., Styczynski, Z.: Smart Grids, Springer

 

Energiesystemtechnik
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3030

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have in-depth theoretical knowledge of the characteristics of energy systems and have understood their interrelationships based on their basic knowledge. Students are able to transfer this knowledge to concrete design planning and system simulations. As an essential qualification, they have the ability to classify and evaluate overall aspects of grid-connected energy systems with the aim of achieving an optimum system in terms of stability, reliability and energy quality.

Contents

In the course "Balancing processes and grid perturbations", the transient characteristics of electromagnetic quantities in the grid are analyzed as a result of switching operations, lightning strikes and short circuits. In terms of system theory, the focus is on excitation functions and the associated impulse responses of energy networks. The emergence of harmonics and their effects on the grid are presented in the case of grid perturbations. Measures to reduce grid feedback and improve power quality are discussed.

In the course "Transportation and Distribution Grid Systems", grid-related tasks and problem aspects are examined and explored in depth with the help of planning tools and simulations. Topics include load flow, short-circuit, reliability and economic feasibility studies of grid concepts at all voltage levels. In addition, the effects of the energy transition on grid technology and grid operation in the transmission and distribution grid area are examined independently by the students using real grid examples.

Teaching methods

Seminar-based course, simulation calculations (Neplan, Netomac, EMTP, Simplorer or Micro-Cap) as a practical computer course.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Miri, A.M.: Ausgleichsvorgänge in Elektroenergiesystemen
Springer-Verlag, Berlin 2000
Hormann, W ; Just, W. ; Schlabbach, J. ; Cichowski, R. R. (Hrsg.)
Netzrückwirkungen, Anlagentechnik für elektrische Verteilungsnetze,
3. Auflage 2008
Flosdorff, R.; Hilgarth, G.: Elektrische Energieverteilung,
9. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2008
Heuck, K.; Dettmann, K.-D.; Schulz, D.: Elektrische Energieversorgung,
8. Auflage, Vieweg+Teubner Verlag Wiesbaden, 2010
Oeding, D.; Oswald, B.R.: Elektrische Kraftwerke und Netze,
6. Auflage, Springer-Verlag Berlin, 2004
Schlabbach, J.: Elektroenergieversorgung,
3. Auflage, VDE-Verlag Berlin, 2009

 

Energiewirtschaft
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3060

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Energy business administration:
Students are familiar with the basic knowledge of modern business administration and can apply this to the requirements of the energy industry, among other things. They know and understand cost and performance accounting and the structure of planning calculations in companies. Students are familiar with the basics of business accounting (income statement, balance sheet, cash flow) and can analyze them.

Energy application management:
Students should be familiar with the objectives and methods of energy management in the field of energy application technology and be able to independently decide which method of cost calculation is best suited to evaluate the energy and cost efficiency of energy-saving measures and also be able to apply these methods.

 

Contents

Energy business management:
After an overview of the general principles of business management and the processes in companies, the special features of energy supply, including the fact that electricity is a commodity that is tied to the grid and lacks product differentiation, are discussed. Costs and activity accounting (cost types, cost centers and cost unit accounting) are covered. Business planning with profit and loss accounts, balance sheets, cash flow statements and key performance indicators for management are covered. In addition, business management and economic models are dealt with in depth, insofar as they are of particular importance to the energy industry (e.g. supply/demand -> merit order, ...). In addition, current events from the energy industry are always included in the current subject matter (e.g.: gas shortage, nuclear phase-out, ...) and their business and economic effects are discussed and highlighted.

Energy application management:
Lecture:
- Relationship between energy generation and energy use
- Ecological aspects of energy use
- Reduction of CO2 emissions: targets and measures
- Energy management systems in accordance with DIN EN ISO 50001
- Energy efficiency
- Energy certificate
- Load management
- Energy balances
- Process analysis
- Minimum physical energy requirements
- Examples of energy savings
- Economic efficiency calculation of energy-saving measures
- Energy contracting
- Cost efficiency of energy-saving lighting
Exercises:
- Estimating the effects of energy consumption
- Calculation of energy requirements
- Calculation of cost efficiency

Teaching methods

Seminar lectures with exercises.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Bartsch, M.; Röhling, H.; Salje, P.; Scholz, U..: Stromwirtschaft: Ein Praxishandbuch, Carl Heymanns Verlag, 2008
Burghardt, M.: Projektmanagement, Siemens, 8. Auflage, 2008
Däumler, K.-D.; Gräbe, J.: Kostenrechnung 1-3, NWB Verlag , 2013
Döring, U.; Buchholz, R.: Buchhaltung und Jahresabschluss: mit Aufgaben und Lösungen, Erich Schmidt Verlag, 2013
Haberstock, L.; Breithecker, V.: Kostenrechnung I., 13. Auflage, Erich Schmidt Verlag, Wiesbaden 2008
Haberstock, L.; Breithecker, V.: Kostenrechnung II., (Grenz-) Plankostenrechnung, 10. Auflage, Erich Schmidt Verlag, Wiesbaden 2008
Homepage der Lehrveranstaltung / Elearning Plattform ILIAS mit Studienmaterial (Skripte, Präsentationen, Standards, Internetquellen, case studies, ... )
Hutzschenreuther, Th.: Allgemeine Betriebswirtschaftslehre: Grundlagen mit zahlreichen Praxisbeispielen, Springer Gabler, 6. Aufl., 2015
Kerzner, H.: Project Management, 10th Edition, 2009
PMI: Project Management Body of Knowledge (PMBOK), 4. Auflage, 2008
Schelle, H.; Ottmann, R.; Pfeifer, A.: Projektmanager, GPM, 2005
Thommsen, J.-P.; Achleitner, A.-K.: Allgemeine Betriebswirtschaftslehre: Umfassende Einführung aus managementorientierter Sicht, 7. Auflage, Springer Gabler, 2012
Wanke, A.; Trenz, S.: Energiemanagement für mittelständische Unternehmen, Fachverlag Deutscher Wirtschaftsdienst, Köln (2001)
Rudolph, M.; Wagner, U.: Energieanwendungstechnik, Springer, Berlin (2008)
Blesl, Kessler: Energieeffizienz in der Industrie, Springer, Berlin (2017)
Bernd Schieferdecker (Hrsg.): Energiemanagement-Tools, Springer, Berlin (2006)
Bemmann, U.; Schädlich, S.; (Hrsg.): Contracting Handbuch 2003, Fachverlag Deutscher Wirtschaftsdienst, Köln (2003)
Deutsches Institut für Normung: DIN EN ISO 50001: Energiemanagementsysteme –Anforderungen mit Anleitung zur Anwendung, Beuth Verlag, Berlin (2018)


 

Energieübertragungstechnik
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3230

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students will be familiar with the main energy transport equipment subjected to high voltage and will be able to explain and justify the design features resulting from their operational stress, in particular the insulation and arcing arrangements. On the basis of an in-depth understanding of the basic ageing and failure mechanisms, students are able to analyze and optimize insulation and arcing arrangements and to further develop them independently or in a team.  Students can propose high-voltage tests and diagnostic procedures to check the solutions and for operational monitoring. Students can also transfer the knowledge and methods learned from selected examples of equipment to other equipment.                    

Students have knowledge of the effect and feedback of control components and compensation units in grids.
They have knowledge of the design and simulation of grid control systems.
They are able to solve complex tasks by independently selecting suitable tools (e.g. software tools MicroCap, Simplorer, NETOMAC or NEPLAN).

Contents

Technology of the energy transport:
- Energy transport equipment and its types of stress (AC, DC, mixed stress)
- Properties of insulating gases
- Partial discharge and breakdown processes of gaseous insulating arrangements
- Design and dimensioning of external insulating sections using the example of outdoor insulators
- Properties of solid insulation
- Ageing and failure mechanisms for solid insulation
- Design and dimensioning of inner insulating sections using the example of cast resin insulated transformers
- Properties of insulating liquids
- Ageing and failure mechanisms of liquid-insulated insulating arrangements
- Design and dimensioning of the internal insulation of transformers
- Physics of gas discharge and arcing
- Arc modeling and arc quenching
- Design and dimensioning of arcing arrangements using the example of disconnectors, load and circuit breakers, as well as arrester spark gaps
- Monitoring and diagnosis of the insulation arrangements in the equipment

Grid control:
- Active power and frequency control
           - Primary control
           - Secondary control
           - Interconnected operation
- Reactive power and voltage regulation
           - Voltage quality
           - Generator regulation
           - Transformer control
           - Compensators
           - STATCOM and SVC
           - Power electronic components in power engineering

 

Teaching methods

Seminar course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Beyer, Boeck, Möller, Zaengl, Hochspannungstechnik
Küchler, Andreas, Hochspannungstechnik
Schwab, Adolf, Hochspannungsmesstechnik
Spring, Eckhardt: Elektrische Energienetze, Energieübertragung und Verteilung
Heuck, Dettmann, Schulz: Elektrische Energieversorgung
Flosdorff, Hilgarth: Elektrische Energieverteilung
Schwab, A. J.: Elektroenergiesysteme

Hybride Energiesysteme
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3250

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students will be familiar with the characteristic properties, applications and requirements of mini and micro grids and will be able to differentiate them from traditional interconnected grids. They also know the properties of decentralized consumption, generation and storage systems and can describe them. In particular, they know the basic requirements for decentralized storage systems and can select and roughly dimension suitable storage technologies. Students know the characteristic operating cases of micro and mini-grids and can show their operating limits and carry out simple calculations for economic and technical design and optimization. In the field of AC/DC systems, students know the special features, delimitations and areas of application of the two power systems. They know the advantages and disadvantages of both and can compare them. They also have knowledge of the technical equipment required for both power systems.

Contents

Micro and mini grids:
- Definition and differentiation of micro, mini and interconnected grids, AC microgrids, DC microgrids
- Components (generation units, storage units, loads) in mini and micro grids, component requirements
- Use cases (industrial microgrid, load-controlled renewable power plant, basic electrification in off-grid areas, stabilization of supply in weak grids,...)
- Operating modes and design features of mini and micro grids as island grids, with permanent and temporary connection to the interconnected grid
- Load characterization in mini and micro grids
- Characterization of generation units and systems in mini and micro grids
- Dimensioning of storage systems in mini and micro grids
- Business Studies through optimized storage use, forecasting methods

AC / DC systems:
- Technology overview and applications
- Mixed systems in the interconnected grid: HVDC, FACTS
- Mixed systems for decentralized feeders: solar inverters, battery inverters, fuel cell inverters, fast grid transfer switches for switching between island grid and grid parallel operation, buck-boost converters for DC sub-grids
- System behavior and services in uninterrupted operation
- Short-circuit behavior and grid support in the event of a fault


 

Teaching methods

Seminar lecture
Exercise
Seminar presentation (optional)
Excursion (optional & by arrangement)

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written exam, oral exam, presentation or term paper (depending on the number of participants and in consultation with the entire course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

AC/DC-systeme: uUterlagen zur Vorlesung
Microgrids: Unterlagen zur vorlesung,
N. Tabatabaei, E. Kabalci, N.Bizon, „Microgrid Architectures, Control and Protection Methods“, Springer Vieweg Verlag
N. Hatzargyriou, „Microgrids Architecture and Control“, Wiley Verlag
W.Kiank, W. Fruth, „Planungsleitfaden für Energieverteilungsanlagen“, Siemens

IT-Sicherheit und Datenmanagement
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3280

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have detailed knowledge of the requirements and designs of secure IT systems and robust data systems for the control and monitoring of critical infrastructures. In particular, they are familiar with the legal requirements of the IT Security Act, BSI Act, BSI Criticism Ordinances, IT Security Catalog (EnWG §11Abs. 1a) and (EnWG §11Abs. 1b)  as well as the implementation instructions of the standards DIN ISO/IEC 27001, DIN ISO/IEC 27002 and DIN ISO/IEC TR 27019 for the assets within the scope of application, such as control and telecommunications systems, IT inventory systems, such as EDM, GIS, market communication and process control systems. The necessary technical and organizational measures for the secure operation of the critical infrastructure can be derived and a comprehensive risk analysis, assessment and treatment can be prepared. This includes measures for data backup, test procedures, hardware and software system hardening as well as the use of cryptographic procedures. In addition to specialist knowledge, students also acquire key qualifications in this module. In the Data Science sub-module, students first learn the basic principles of digital processing, analysis and representation of data structures against the background of technical process data. Subsequently, various algorithms and techniques for pattern recognition, classification and prediction based on these digital data structures are covered and the knowledge is deepened using practical examples and self-made implementations. One focus of the Data Science module is on the field of machine learning, in which decision structures are made on the basis of trained data and no explicit programming is carried out;

Contents

IT (information security) security in energy grids:
- Threat situation and potential threats to critical infrastructures, in particular energy networks (TSOs, DSOs) (further consideration of the intelligent metering point operator (iMSO) and energy systems)
- statutory requirements (IT Security Act, BSI Act, BSI Criticality Ordinances, IT Security Catalog (EnWG §11 para. 1a), IT Security Catalog (EnWG §11 para. 1b), BSI Technical Guideline (TR-03109))
- Critical business processes and their modeling (notation: EPK, BPMN2.0, ...)
- Standards (DIN ISO/IEC 27001, DIN ISO/IEC 27002, DIN ISO/IEC TR 27019, TR-3109-x (BSI))
- Management system (information security and data protection)
- Risk management (protection requirements, assets, threats, vulnerabilities, damage categories according to the IT security catalog of the BNetzA (Federal Network Agency))
- Information security measures (cryptographic procedures, logging and monitoring, control of access to systems and applications / hash functions)

Data science:
- Data processing: raw and finished data
- Characteristics, variable data and missing data (substitute values)
- Data imports and various data formats
- Data presentation (graphical, tabular), data cockpit
- Regression and classification algorithms
- Supervised and unsupervised learning
- Activation functions

Teaching methods

Seminar-based course, practical implementation of the construction and testing of a secure and robust data system for controlling and monitoring energy networks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Appelrath, H, u.a. 2012. IT-Architekturentwicklung im Smart Grid.
bitkom und VKU. 2015. Praxisleitfaden IT-Sicherheits-katalog.
BDEW: Whitepaper- Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BDEW: Ausführungshinweise zur Anwendung des Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunkationssysteme
BDEW: Checkliste zum Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BSI: Technische Richtlinie TR-03109, TR-03109-1 bis TR-03109-6 sowie Testspezifikationen (TS)
BSI (Bundesamt für Sicherheit in der Informationstechnik). 2015. KRITIS-Sektorstudie – Energie.
Klipper, S. 2015. Information Security Risk Manage-ment. Springer Verlag.
FNN/DVGW. 2015. Informationssicherheit in der Energiewirtschaft.
VDE. 2014. Positionspapier Smart Grid Security Energieinformationsnetze und –systeme.
Kävrestad, J. 2018. Fundamentals of Digital Forensics Theory, Methods, and Real-Life Applications. Berlin. Springer‐Verlag.
Kersten, H. und G. Klett. 2017. Business Continuity und IT-Notfallmanagement. Grundlagen, Methoden und Konzepte. Springer Verlag.
Witte, F. 2016. Testmanagement und Softwaretest. Theoretische Grundlagen und praktische Umsetzung. Springer Verlag
Paar und Pelzl. 2016. Kryptografie verständlich Ein Lehrbuch für Studierende und Anwender. Berlin: Springer‐Verlag.
Eckert, C.: IT-Sicherheit: Konzepte - Verfahren - Protokolle, De Gruyter Oldenbourg
Ng, Soo: Data Science - was ist das eigentlich?!
Nelli: Python Data Analytics
Yan, Yan: Hands-On Data Science with Anaconda
VanderPlas: Data Science mit Python
Frochte: Maschinelles Lernen: Grundlagen und Algorithmen in Python

Industrial Computing
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3220

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Multicore architectures:
Students are given an overview of the structure and functionality of multicore architectures and their areas of application in industry. Participants will learn about the modeling and simulation of such systems. In addition, they will be able to develop their own embedded multi-core architectures using programmable chips. Students also learn how to implement parallel applications using middleware software.
Hardware-related programming:
Students deepen their knowledge of C/C++ and learn the Verilog hardware description language with a focus on heterogeneous embedded systems. In addition to the hardware-related programming of processors, students are also familiar with the acceleration of code segments through the integration of hardware extensions for special tasks. The students partition an exemplary computing task between hardware and software with regard to resource optimization, execution speed, response times, functional safety and reliability. Students learn about common real-time operating systems and their components and understand which operating system is best suited to the respective application.

Contents

Event Multicore architectures:
- Industrial application areas, classification and performance estimation of multicore architectures
- Structure and components of multicore architectures
- Communication infrastructures (e.g. bus, network-on-chip)
- Modeling and simulation of communication and computer architectures
- Design of multiprocessor systems and hardware accelerators using FPGAs
- Parallel programming Hardware-related programming
Hardware-related programming course:
- Verilog hardware description language
- Hardware-related programming techniques in C/C++
- Structure and functionality of embedded operating systems (e.g. Petalinux, FreeRTOS)
- Hardware/software partitioning
- CORDIC, discrete cosine transformation, multidimensional convolutions

Teaching methods

Lecture, exercise, seminar, practical course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

P. Marwedel: "Embedded Systen Design - Embedded Systems Foundations of Cyber-Physical Systems, and the Internet of Things", 4th Edition, 2021.
J. L. Hennessy, D. A. Patterson: "Computer Architecture - A Quantitative Approach"; Morgan Kaufmann Publishers, Fifth Edition, 2012.
S. Pasricha, N. Dutt: "On-Chip Communication Architectures - System-on-Chip Interconnect"; Morgan Kaufmann Series in Systems-on-Silicon, 2008.
W. J. Dally, B. P. Towles: "Principles and Practices of Interconnection Networks"; 2. Edition, Morgan Kaufmann Series in Computer Architecture and Design, 2004
Bernhard Hoppe, Verilog: Modellbildung für Synthese und Verifikation, Oldenbourg, 2009
Samir Palniktar, Verilog HDL A Guide to Digital Synthesis, Pearson Education, 2nd Edition, 2003
D. Zöbel, Echtzeitsysteme - Grundlagen der Planung, Springer-Verlag, 2008
U. Meyer-Baese, Digital signal processing with field programmable gate arrays, Springer, 2007

Intelligente Antriebssysteme
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3210

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have in-depth theoretical and practical knowledge of the development, dimensioning and programming of modern electronic drives in drive and automation technology. They are able to develop suitable control algorithms on the basis of existing practical tasks and take the properties of the existing components into account when implementing them.

Contents

Electronic drives:
In the course "Electronic drives", modern electronic drives are presented in terms of structure and function. The power electronic components are discussed in detail and the various control and regulation methods of the associated hardware are explained. Practical investigations, simulations and dimensioning examples supplement and deepen the course content.

Contents:
- Sensors in drive technology
- Servo controllers and frequency converters
- Modeling, pulse pattern generation and control methods
- Electronic drives (BLDC, servomotors, stepper motors)
- Concepts for the energy-efficient use of drive systems
- Application examples

Modern drive controls:
In the course "Modern drive controls", various control loop structures and design methods,
typical application problems of control with possible solution approaches are first dealt with,
then the applications of the methods for controlling electric drives are explained in detail with examples and simulated with computer support.

Contents:
- Control loop structures
- Typical control engineering application problems
- Speed, torque and position control
- Control of the direct current machine
- Control methods for rotary field machines

Teaching methods

Seminar course, practical metrological investigations on electronic drive systems, simulations

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Attendance of the course Drive System Technology

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Brosch: Moderne Stromrichterantriebe
Schröder: Elektrische Antriebe - Regelung von Antriebssystemem
Riefenstahl.: Elektrische Antriebssysteme
Teigelkötter: Energieeffizient elektrische Antriebe
Probst: Servoantriebe in der Automatisierungstechnik
Zirn, Weikert: Modellbildung und Simulation hochdynamischer Fertigungssysteme

Intelligente Sensorsysteme
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3340

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students have an overview of the use of sensors in intelligent systems. They are familiar with the technical approaches of smart sensors as well as their functionality and forms of implementation. Students are familiar with the essential technological principles for the realization of intelligent sensors and microsystems. They are able to read out and pre-process sensor-specific signals, carry out calculations on this basis and optimize key parameters of the system in relation to the respective sensor performance.  
Students know the basic structure of sensor systems consisting of individual sensor components and the interaction of these components with their interfaces in the resulting system architecture. They are familiar with the basic principles of processing sensor signals at system level, both in the analog and digital domains. They will be able to select suitable systems and algorithms for filtering sensor data and dimension them for practical applications. In addition, they understand the functionality and benefits of software algorithms for processing multidimensional sensor data in multi-sensor systems.

Contents

Technology event
- Overview and definitions
- Technology and production of integrated sensors
- Smart sensors, functionality and signal evaluation
- Definition and optimization of relevant system parameters to increase performance

System integration event
- Integration of individual sensor components in an overall system
- Essential basic concepts and methods of analog and digital sensor signal processing
- Systems and algorithms for filtering sensor data
- Combination of sensors in multi-sensor systems
- Sensor data fusion / signal combination algorithms in a sensor system

Teaching methods

Seminar-based course with application examples from industrial practice. Selected specialist content is developed independently by the students and presented in a practice-relevant form (e.g. team meeting, online meeting). The technical and methodological knowledge acquired is further deepened in exercises using suitable problems and tasks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the entire course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Meroth, A.; Sora, P.: Sensornetzwerke in Theorie und Praxis, Springer, 2021
Meijer, G. C. M.: Smart Sensor Systems, John Wiley & Sons, 2008
Zentner, L.; Strehle, S.: Microactuators, Microsensors and Micromechanisms: MAMM2020, Springer 2021
Tränkler, H.-R.; Reindl, L. M.: Sensortechnik, Springer, 2014
Meyer, Martin: Signalverarbeitung, Springer Verlag
Hoffmann, J.; Quint, F.: Signalverarbeitung mit MATLAB und Simulink, Oldenbourg, 2012
Hoffmann, J.; Quint, F.: Signalverarbeitung in Beispielen, Oldenbourg, 2016
Werner, M.: Digitale Signalverarbeitung mit MATLAB, Springer, 2019
Mitchell, H. B.: Data Fusion: Concepts and Ideas, Springer, 2012
Diverse wissenschaftliche Veröffentlichungen

Mixed-Signal CMOS Design
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3320

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Students learn the methodology for designing integrated circuits in the context of both analog and digital systems. In addition, students will be able to combine both design worlds and create complex mixed-signal systems. After attending the course, students will be able to analyze CMOS circuits and apply the acquired knowledge creatively in the design process. In addition, students will receive an intensive introduction to the use of professional design tools that have become standard in the industry. Participants gain an insight into common mixed-signal design blocks such as analog-digital or digital-analog converters or phase-lock or delay-lock loops. Established verification methods such as the Unified Verification Methodology are introduced to the students.

 

Contents

Submodule:Digital CMOS Design
-Overview Design Flow
-Hardware description languages: Verilog, System-C, Mixed-Language
-Synthesis
-Design Constraints
-Place & Route
-Design For Testibility (DFT)
Submodule: Analog CMOS circuit design
- MOS transistor model
- Short channel effects
- Noise
- Current mirror
- Operating point adjustment
- Inverting amplifier
- Differential amplifier
- Bandgap voltage reference
- Linear regulator
After teaching the basic topics, further insights are provided across courses using concrete mixed-signal circuit examples such as ADC, DAC, PLL, DLL devices and examined using common verification methods
.
 

Teaching methods

Lecture, exercise, seminar, practical course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Razavi, Design Of Analog Cmos Integrated Circuit , 2Nd Edition, McGraw-Hill
Baker, Cmos: Circuit Design, Layout, and Simulation, 4th Edition, Wiley-Blackwell
Allen, Holberg, CMOS Analog Circuit Design, Oxford University Press
Sansen, Analog Design Essentials, Springer
Hubert Kaeslin: "Top-Down Digital VLSI Design", Morgan Kaufmann, December 2014
Erik Brunvand, Digital VLSI Chip Design with Cadence and Synopsys CAD Tools, Pearson Education
Weste, Harris, CMOS VLSI Design, 4th edition, Addison-Wesley
Nikolic, Rabae, Chandrakasan, Digital Integrated Circuits: A Design Perspective, Pearson Education

Modellierung von Antriebssystemen
  • WP
  • 6 SWS
  • 8 ECTS

  • Number

    3300

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

The aim of the lecture "Modeling of electrical drive systems" is to acquire knowledge of analytical and numerical methods for designing electrical drive systems and simulating their operating behavior. The theoretical principles of analytical and numerical models are developed and applied in practical simulation examples. By learning the two different methods (analytical and numerical) with their advantages and disadvantages, students are able to weigh them up against each other for specific applications and make a decision.

Contents

Numerical modeling of electric drive systems:
The course first deals with the theoretical basics of the finite element method (FEM). It then shows how magnetic circuits can be solved using FEM. Based on simple examples, the method is then transferred to electrical machines (transformer, asynchronous machine, synchronous machine). An analysis of the results is carried out in order to evaluate the machine design on the one hand and to derive known parameters of the equivalent circuit diagrams and compare them with analytical calculations on the other.

Analytical modeling of electric drive systems:
The course consists of the chapters Modeling, Simulation, Modelica, Application of Modelica in electric drive technology. As part of the system-theoretical basics, physical modeling is developed with the help of flow and potential variables. The object-oriented description language Modelica, which is based on this principle, is then introduced. After learning the most important language components and special features of Modelica, students are instructed in how to independently carry out modeling and simulations in the field of electrical drive technology using the software Dymola or OpenModelica.



 

Teaching methods

Seminar course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Janschek, K.: Systementwurf mechatronischer Systeme, Springer, 2010
Isermann, R.: Mechatronische Systeme, Springer, 2007
Fritzon, P.: Introduction to modeling and simulation of technical and physical systems, Wiley, 2012,
Bianchi, N.: Electrical Machine Analysis Using Finite Elements, CRC Press, 2005
Hrabovcová, V.; Rafajdus, P.; Makyš, P.: Analysis of Electrical Machines, IntechOpen, 2020

2. Semester of study

Projektarbeit 2
  • PF
  • 6 SWS
  • 6 ECTS

  • Number

    3120

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30h

  • Self-study

    150h


Learning outcomes/competences

Building on project work 1, students are able to work on an advanced task from the chosen specialization largely independently and systematically. They are able to independently comprehend and delimit a technical task in theory and practice and identify and process the necessary task packages to solve the problem. To this end, they apply common methods of information procurement. Students can work together in a team and coordinate and discuss procedures and work results. They are able to contribute to further tasks for other students if necessary.
Students are able to prepare and present their own work in writing and represent their findings to others.

 

Contents

The topic and content of project work 2 is determined in consultation with a supervising professor of the Energy Systems study program. Project work 2 should build on project work 1 as far as possible in terms of content and extend the scope of the task.
In addition to the implementation of the task, project work 2 also includes its documentation and presentation.

 

Teaching methods

Students work on the topic of Project 2 largely independently and receive organizational support from the faculty's academic staff. In addition, regular seminars are held with the supervising professor and the research assistants. The project work is preferably linked to larger project topics, which are worked on by the laboratory or specialist groups. In this way, project teams can work on different subtasks in the laboratories.
Project work 2 can be carried out in coordination with the supervising professor in a laboratory or specialist group at the university or alternatively at an external industrial company.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Module examination Project documentation (70%) and colloquium (30%)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

4,00%

Literature

/

Theoretische Elektrotechnik
  • PF
  • 6 SWS
  • 8 ECTS

  • Number

    3020

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    168h


Learning outcomes/competences

Mastery of field-theoretical relationships via Maxwell's equations and application of predominantly analytical solution methods.
Understand and establish the coherence between different electrical engineering disciplines, their rationale and limitations.
Ability to communicate and collaborate with researchers and professionals in the field of electrical engineering.

Contents

- Fundamentals of classical electromagnetic field theory
- Electrostatics, stationary flow field, magnetostatics, induction effects, wave propagation
- Maxwell's equations in differential and integral form, boundary conditions, wave equations and their solutions
- Methodology/procedures for solving electromagnetic field problems

Teaching methods

Lecture/seminar course and exercise.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

P. Leuchtmann, Einführung in die elektromagnetische Feldtheorie, Pearson, 2005
D. J. Griffiths, Elektrodynamik, Pearson, 2015
M. Leone, Theoretische Elektrotechnik, Springer, 2018
S. Roth, A.Stahl , Elektrizität und Magnetismus, Springer, 2018

3. Semester of study

Masterstudienarbeit
  • PF
  • 12 SWS
  • 14 ECTS

  • Number

    3130

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    20h

  • Self-study

    400h


Learning outcomes/competences

Students are able to work independently and systematically on limited engineering tasks within the chosen specialization. They can independently grasp and delimit a technical task and identify, structure and process the necessary task packages to solve the problem. They apply the usual methods of information procurement, such as literature, internet and patent research, to develop the necessary basics for this.
Students are able to prepare, document and present their own work in writing and represent their findings to others.

 

Contents

The topic and content of the Master's thesis is determined in consultation with a supervising professor of the Energy Systems study program. In addition to the implementation of the task, the Master's thesis also includes its documentation and presentation.

Teaching methods

Students work on the topic of the Master's thesis largely independently and receive organizational support from the faculty's academic staff. In addition, regular seminars are held with the supervising professor and the research assistants.
The content of the Master's thesis can be coordinated with the supervising professor in a laboratory or specialist group at the university or alternatively at an external industrial company.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Module examination Project documentation (70%) and colloquium (30%)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

9,33%

Literature

/

RMS
  • WP
  • 0 SWS
  • 8 ECTS

  • Number

    3290

  • Duration (semester)

    1


RMS
  • WP
  • 0 SWS
  • 8 ECTS

  • Number

    3291

  • Duration (semester)

    1


RMS
  • WP
  • 0 SWS
  • 8 ECTS

  • Number

    3292

  • Duration (semester)

    1


RMS
  • WP
  • 0 SWS
  • 8 ECTS

  • Number

    3293

  • Duration (semester)

    1


4. Semester of study

Thesis
  • PF
  • 24 SWS
  • 30 ECTS

  • Number

    103

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    0h

  • Self-study

    900h


Learning outcomes/competences

Thesis:
Students are able to solve engineering tasks independently and systematically. They can independently grasp and delimit a given technical task and identify and process the necessary task packages to solve the problem. In doing so, they apply methods of information procurement through literature, the Internet and patent research to develop the basics.
Students are able to plan their own work, divide it into theoretical and practical work steps, extract subtasks and create specifications, e.g. for experiments and the realization of test environments. They can also prepare and present their investigations in writing and represent the results obtained in specialist discussions in specialist group seminars and conferences.

Colloquium:
Students master techniques for presenting, explaining and defending the results achieved in a complex field of work previously dealt with in the thesis within the chosen specialization.

Contents

Thesis:
The topic and content of the thesis is determined in consultation with a supervising professor of the chosen specialization in the Energy Systems study program. The work on the thesis includes the solution of the task set and its documentation with regard to the procedure, the boundary conditions and the result achieved.

Colloquium:
The thematically defined task area of the thesis is processed and presented using engineering methods. Argumentation chains for the chosen approach and the content-related approach to the work are formed.

Teaching methods

Thesis:
Students work on the topic of the thesis largely independently and receive organizational support from the faculty's academic staff. In addition, regular seminars are held with the supervising professor and the research assistants.
The content of the thesis can be coordinated with the supervising professor in a laboratory or specialist group at the university or alternatively at an external industrial company.

Colloquium: Seminar

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Thesis: Module examination project documentation
Colloquium: Preparation of a presentation and oral examination

Requirements for the awarding of credit points

Thesis: Module examination must be passed
Colloquium: Oral examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Management

Importance of the grade for the final grade

Thesis: 30%
Colloquium: 10%

Literature

/

Notes and references

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