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Bachelor Energiewirtschaft und Energiedatenmanagement

Fast facts

  • Department

    Elektrotechnik

  • Stand/version

    2024

  • Standard period of study (semester)

    6

  • ECTS

    180

Study plan

  • Compulsory elective modules 1. Semester

  • Compulsory elective modules 2. Semester

  • Compulsory elective modules 3. Semester

  • Compulsory elective modules 4. Semester

  • Compulsory elective modules 6. Semester

Module overview

1. Semester of study

Elektrotechnik 1
  • PF
  • 6 SWS
  • 8 ECTS

  • Number

    321400

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    90h

  • Self-study

    150h


Learning outcomes/competences

This module develops basic electrical engineering knowledge based on physical principles. In addition to teaching technical skills, the introduction to engineering thinking and working methods plays an important role. The topics covered enable students to analyze simple direct and alternating current networks.
Students gain a basic understanding of basic electrical engineering variables and the interaction of variables in direct current networks and linear quasi-stationary alternating current networks as well as their description using complex variables.

Contents

Based on the fundamentals of physics, some terms and fundamental relationships in electrical engineering are first explained. In addition to the usual mathematical notation, symbolic representation using circuit diagrams is also introduced. In particular, the description of electrical engineering processes using mathematical formulas is discussed.

In  DC technology, resistors and sources are introduced as components and simple basic circuits are considered. Technical realizations are also discussed and practical examples are considered. Finally, the generalization of Ohm's law and Kirchhoff's rules leads to mesh current and node potential analysis of networks.
- Physical basics: electrical charges, electrical voltage, electrical current
- Energy transfer in linear networks
- Ohm's law
- Electrical sources: Impressed voltage source, Impressed current source, Linear source with internal resistance
- Branched circuit: Two-pole as a switching element, two-pole networks and Kirchhoff's laws, series connection of two-pole networks, parallel connection of two-pole networks
- Network transfigurations, substitute sources
- Network analysis: node potential analysis, mesh current analysis

In AC technology, the analysis methods known from DC technology are extended to AC networks
- Harmonic alternating quantity as a time diagram and in complex representation
- Basic bipoles R, C, L
- Ohm's law and Kirchhoff's laws in the complex
- Pointer diagram
- Node potential analysis and mesh current analysis in complex
- Power and energy at fundamental bipoles
- Two-pole with phase shift, power and energy, complex power
- Frequency dependencies with RL/RC bipoles, locus curves, frequency response
- Resonant circuit and resonance: series resonance, parallel resonance, locus curves, Bode diagram

 

Teaching methods

The lecture conveys the theoretical content. Based on typical tasks, corresponding practical problems are dealt with promptly in the associated exercises, practical problems are discussed and solutions are developed.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

3,86%

Literature

Wagner, A.: Elektrische Netzwerkanalyse, Books on Demand, Norderstedt 2001
Lindner, Brauer Lehmann: Taschenbuch der Elektrotechnik und Elektronik, Fachbuchverlag Leipzig 2001
Frohne, Löcherer, Müller: Moeller Grundlagen der Elektrotechnik, B.G. Teubner Stuttgart, Leipzig, Wiesbaden 2002

Energiewirtschaft und Projektmanagement
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    321700

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    90h


Learning outcomes/competences

In terms of content:
Students know the levels of economics and understand the basics of economic modeling. They are familiar with the principles and problems of division of labor, exchange and trade. They know important economic parameters and can apply them. Students understand the basic principles of the electrical energy industry. They get to know the players, their roles and interactions as well as the markets for electricity. They understand the special features of grid-connected  energy supply.
In preparation for the implementation of projects during their studies and in their later professional environment (companies and engineering offices as well as universities), students learn the basics of project management. The focus here is on the technical area, in particular software and energy technology projects.

Methodologically:
Students work with classic economic models and can apply these to current economic, energy and environmental policy issues.  
Students learn methods of classic and agile project management in order to plan and implement projects.

Personal/social:
Selected current topics in the energy industry can be discussed together. Students learn to deal with basic economic and energy industry concepts and to apply these independently to problems. Students will be able to reflect on and communicate about ecological sustainability and other aspects of these areas that affect society as a whole.
Using project management methods, students learn how to coordinate their own actions in a targeted manner and how to act together in a team.


 

Contents

Introduction to economics and the fundamentals of energy economics:
Economics and its methods
Division of labor and exchange
Costs and supply, benefits and demand
Competitive and monopoly market, rents and welfare
Business Studies and legal framework of the markets for grid-bound energy
Players and market roles, exchange of goods and balancing in the electricity market
Markets for electricity
Energy supply: Grids, generation and storage, trading, sales
Energy management
Environmental policy

Project management:
Types of projects (research, development, innovation, investment)
Organizational forms of companies, universities and projects
Methods of time and financial planning
Project description
Personnel management
Teamwork
Agile project management

Solving problems and conflicts
Conducting targeted meetings and workshops
Monitoring the progress of the project
Documentation / reports

 

Teaching methods

Lectures with exercises in the introduction to economics and the fundamentals of energy economics
Seminar lectures in project 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)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,41%

Literature

Einführung in die Volkswirtschaftslehre und Grundlagen der Energiewirtschaft:
Bofinger, P.: Grundzüger der Volkswirtschaftslehre, 5. Auflage, Pearson Verlag, Hallbergmoos, 2019
Bofinger, P.; Mayer E.: Grundzüge der Volkswirtschaftslehre - Das Übungsbuch, 4. Auflage, Pearson Verlag, Hallbergmoos, 2020
Engelkamp, P.; Sell, F. L.: Einführung in die Volkswirtschaftslehre, 8. Auflage, Springer Gabler, 2020
Mankiw, N. G.; Taylor, M. P.: Grundzüge der Volkswirtschaftslehre, 8. Auflage, Schäffer-Poeschel Verlag, 2021
Putnoki, H, Hilgers, B: Große Ökonomen und ihre Theorien: ein chronologischer Überblick, 2. Auflage, Wiley, 2013
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
Mitto, L.: Energierecht, Kohlhammer, 2019  

Projektmanagement
Lessel: Projektmanagement, Cornelsen (2002)
Litke: Projektmanagement, Hanser (2007)
Burkhardt: Projektmanagement, Publicis MCD (2018)
Felkai, Beiderwieden: Projektmanagement für technische Projekte, Vieweg+Teubner (2015)
Ebert: Technische Projekte, Wiley-VCH (2002)
Zimmermann, Stark, Rieck: Projektplanung, Springer (2010)

Ingenieurmethodik
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    321500

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Standards and safety technology:
Students acquire an understanding of the development, structure and application of standard systems and are able to implement the most important electrical safety standards in practice in operational processes. They know the duties, tasks and responsibilities of a qualified electrician.
Scientific work:
Students can work and think scientifically. They understand the basics of scientific work through empiricism and experiments.
They know the formal structure of a scientific publication, especially technical reports, can cite correctly and have an awareness of the problem of plagiarism.
You have knowledge of basic mathematical applications of measurement error analysis and statistics.

Contents

Standards and safety technology
- Dangers of electric current
- Terms and organization of electrical safety (including tasks, duties and safety of the electrician)
- Principles and protective measures of electrical engineering
- The relevant electrical safety standards
- Structure of the standards system, international, European, national
- Laws, ordinances and accident prevention regulations
- Selected practical safety solutions

Scientific work:
- Preparation of a scientific report
- Structure: Abstract, introduction, presentation of the work, summary, appendix
- Layout: text, graphics, formulas, citations
- Scientifically correct citation methods
- Scientific misconduct (plagiarism)
- Measurement error, standard deviation, variance, linear adjustment calculation
- Gaussian error propagation, error of magnitude
- Use of spreadsheet programs and programs for word processing

 

Teaching methods

Standards and safety technology:
The specialist knowledge is presented and explained in the lecture. In the exercises, the methodological knowledge taught is demonstrated in practical application. Examples are used to deepen the theoretical knowledge. The lecture notes and exercises as well as the laboratory regulations will be made available for download in the online learning portal.

Scientific work:
The lecture conveys the theoretical content. Based on typical tasks, corresponding practical problems are dealt with promptly in the associated exercises.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

DIN VDE 0100 Errichten von Starkstromanlagen
BGV Unfallverhütungsvorschriften
Vorschriften der Europäischen Gemeinschaft
VDE-Schriftreihe Normen Verständlich; „Betrieb von elektrischen Anlagen“; Verfasser: Komitee 224
Hohe, G.; Matz, F.: VDE-Schriftreihe Normen Verständlich; „Elektrische Sicherheit“
Vorlesungsskript Normen und Sicherheitstechnik

Vorlesungskript „Wissenschaftliches Arbeiten“
Prof. Striewe & A. Wiedegärtner, „Leitfaden für Erstellung wissenschaftlicher Arbeiten am ITB“, FH Münster
N. Franck, J. Stary, „Die Technik wissenschaftlichen Arbeitens“, Ferdinand Schöningh Verlag
M. Kornmeier, „Wissenschaftlich schreiben leicht gemacht – für Bachelor, Master und Dissertation“, UTB Verlag
K. Eden, M. Gebhard, „Dokumentation in der Mess- und Prüftechnik“, Springer Verlag
H & L. Hering, „Technische Berichte“, Springer Vieweg Verlag

 

Mathematik 1
  • PF
  • 6 SWS
  • 7 ECTS

  • Number

    321100

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    72h

  • Self-study

    138h


Learning outcomes/competences

After completing this module, students will be able to
- apply mathematical techniques
- use the mathematical language of formulas
- name essential properties of real functions and recognize their relevance for the representation of states or processes in nature or in technical systems
- calculate limits of sequences and functions and examine functions for continuity
- apply the techniques of differential calculus for functions of a variable, carry out curve discussions and approximations of functions with Taylor polynomials
- apply the basic arithmetic operations and types of representation of complex numbers to problems in electrical engineering
- apply the basic concepts and methods of linear algebra, in particular methods for solving systems of linear equations.

Contents


Basic concepts and calculation techniques: Logic, set theory, real numbers, solving equations and inequalities
Real functions of a variable: Concept of function including inverse function, rational, root, exponential, trigonometric and hyperbolic functions,
Symmetry, monotonicity, asymptotes, continuity, sequences, limits, calculation rules
Differential calculus: derivation, derivation of basic mathematical functions, derivation rules, mean value theorem, extreme points, de L'Hospital's rule, curve discussion, Taylor expansion,
Representation of functions by Taylor series, error and approximation calculation for Taylor developments
Complex numbers: Basic arithmetic operations, forms of representation - Cartesian and polar representation, complex roots
Vector calculus: vectors in R^n, basic definitions, calculation rules and operations, scalar product, orthogonality, projection, cross product, spar product
Determinants of second, third and general order, Laplace's development theorem, calculation rules for determinants
Matrices: Basic concepts and definitions, arithmetic operations, inverse matrix,
Linear systems of equations: Gaussian algorithm, description by matrices, solving matrix equations
Application examples for matrices and systems of linear equations

Teaching methods

A lecture conveys the basic knowledge of analysis and linear algebra. The teaching of the theoretical foundations is supported by numerous examples and exercises/control questions. In the exercises, students work independently on solving problems and thus deal with the concepts, statements and methods from the lecture.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

3,37%

Literature

Brauch/Dreyer/Haacke: Mathematik für Ingenieure, Vieweg+Teubner 2006
Fetzer, Fränkel: Mathematik 1 (2008), Mathematik 2 (1999), Springer-Verlag
Knorrenschild, Michael: Mathematik für Ingenieure 1, Hanser-Verlag, 2009
Papula, Lothar: Mathematik für Ingenieure 1 (2009), 2 (2007), 3 (2008), Vieweg+Teubner
Papula, Lothar: Mathematische Formelsammlung(2006), Vieweg+Teubner
Preuß, Wenisch: Mathematik 1-3, Hanser-Verlag, 2003
Stingl, Peter: Mathematik für Fachhochschulen, Carl-Hanser Verlag 2003

Softwaretechnik 1
  • PF
  • 3 SWS
  • 4 ECTS

  • Number

    321600

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    75h


Learning outcomes/competences

Students learn the basic concepts of programming applications using the Python programming language. This includes the ability to analyze and model a specific task and to program with a modern development environment and test the results obtained. As part of Software Technology 1, particular emphasis is placed on a structured and readable programming style and the application of functional and object-oriented paradigms. After completing Software Engineering 1, students will have a sound knowledge of object-oriented software development and will be able to apply this to tasks in the context of their studies and career;

Contents

Software technology 1:
- Data types, variables, operators
- Objects and references
- Control structures and repeat statements
- Functions and their parameters
- Classes and objects
- Inheritance
- Exception handling
- Collections

 

Teaching methods

The knowledge transfer takes place in the form of a lecture, which is a combination of theoretical presentations and exemplary program developments. In the exercises, tasks related to the lecture material are solved, thus deepening the lecture material and developing solutions for given problems.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
In terms of content: none

Forms of examination

Exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,93%

Literature

Luppa, K.: Vorlesungsskript und Übungsunterlagen Softwaretechnik 1
Klein, B.: Einführung in Python 3. Hanser
Ernesti, J; Kaiser, P: Python  3: Das umfassende Handbuch: Sprachgrundlagen, Objektorientierte Programmierung, Modularisierung. Rheinwerk
Kofler, M.: Python: Der Grundkurs. Rheinwerk
Downey, A.: Think Python: How to think like a computer scientist. O'Reilly

2. Semester of study

Energietechnische Grundlagen
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    322700

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

After successfully completing the module, students will know the basic principles of the forms of energy conversion used in energy technology systems. They are able to
- apply physical principles to energy conversion processes in energy technology systems
- recognize the areas of application and areas of use of energy technology systems
- name and understand the advantages and disadvantages of different energy technology systems
- calculate basic design parameters of energy technology systems

Contents

 - Thermodynamic conversion processes (Joule process, Otto process, diesel process, Clausius-Rankine process)
 - Operating principles of turbines
 - energy technology systems (gas turbines and gas engines, CHP plants, biogas plants, steam power plants, heat pumps, hydroelectric power plants, wind power plants, solar power plants)
 - Design  and availability of energy technology systems
 - Basic terms to describe energy technology systems (efficiency, degree of utilization, ordered annual duration curve, full load hours, controllability)
 - Combined heat and power generation
 - Energy content of various raw materials and energy availability of renewables
 - Overview of different storage technologies (PtG, pumped storage,...)
 - Emissions from energy technology systems

Teaching methods

Lectures, exercises with independent solving of practical tasks, independent development of teaching material

Participation requirements

Formally, the specifications of the respective valid examination regulations apply
Content: Differential and integral calculus, vector calculus

Forms of examination

Written exam
 

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

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Mathematik 2
  • PF
  • 6 SWS
  • 7 ECTS

  • Number

    322100

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    90h

  • Self-study

    120h


Learning outcomes/competences

After completing this module, students will be able to
- solve integrals of different functions of a variable using different integration techniques
- solve homogeneous and inhomogeneous 1st and 2nd order ordinary differential equations
- Explain basic concepts of matrix theory
- Calculate eigenvalues and eigenvectors

Contents

Integral calculus(one-dimensional): Basic function, indefinite integral, definite integral,
Main theorem of differential and integral calculus, mean value theorem of integral calculus,
Integration techniques: elementary calculation rules, partial integration, substitution, partial fraction decomposition,
improper integrals,
Numerical integration (rectangular, trapezoidal and Simpson's rule)
Ordinary linear differential equations:
1st order linear differential equations: separation of variables, variation of constants, initial value problems
Linear differential equations of 2nd order with constant coefficients, general solution of the inhomogeneous differential equation (variation of the constant)
Electrical circuits and differential equations
Vector spaces, subspaces,
Linear independence, basis, dimension, kernel, image, rank of matrices,
Eigenvectors and eigenvalues

Teaching methods

A lecture provides advanced knowledge of analysis and linear algebra. The teaching of the theoretical foundations is supported by numerous examples and exercises/control questions. In the exercises, students work independently on solving problems and thus deal with the concepts, statements and methods from the lecture.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics 1

Forms of examination

Exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

3,37%

Literature

Papula, Lothar: Mathematik für Ingenieure 1-3, Vieweg, Braunschweig-Wiesb. 2000
Brauch/Dreyer/Haacke: Mathematik für Ingenieure, B.G. Teubner 1995
Stingl, Peter: Mathematik für Fachhochschulen, Carl-Hanser Verlag 1999
Papula, Lothar: Mathematische Formelsammlung, Vieweg, Braunschweig-Wiesb. 2000
Fetzer, Fränkel: Mathematik 1-2, Springer-Verlag, 2004
Preuß, Wenisch: Mathematik 1-3, Hanser-Verlag, 2003
Feldmann: Repetitorium Ingenieurmathematik, Binomi-Verlag, 1994

Messdatenerfassung & -verarbeitung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    322400

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    90h


Learning outcomes/competences

Students are familiar with the principles and methods of electrical measurement. They can evaluate the deviations and uncertainties of measurement results. They are familiar with the fundamental differences between digital and analog measurement. They are also familiar with the possibilities of computer-aided measurement technology and know how data can be automatically recorded and processed with the help of data acquisition hardware. To this end, you will be able to apply basic programming methods.

Practical course:
Students can configure data acquisition hardware and control analog and digital inputs and outputs of this hardware appropriately. They can use graphical or script-based programming methods to automatically record and process measurement data.

Contents

- Measurement deviation and measurement uncertainty, complete measurement result
- Measurement signals and their characterization (e.g. analogue, digital, rectified, effective and average values)
- Measurement of electrical quantities (e.g. current, voltage, resistance, power and energy)
- Digitization, resolution and accuracy
- Computer-aided measurement technology, instrumented computers
- Programming methodology for data acquisition, processing and output
- Data acquisition hardware (DAQ) for analog and digital input and output

Practical course:
Experiments are carried out on the following topics:
- Configuration and communication (with) DAQ hardware
- Measured value analysis and measurement data processing
- Graphical user interface (GUI)

Teaching methods

The theoretical knowledge is presented and explained in more detail in the lecture. In the exercises, the methodological knowledge taught is applied to elementary examples and practical problems are dealt with. Tasks on measurement data processing and programming methodology round off the subject area.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,41%

Literature

Mühl, T.: Einführung in die elektrische Messtechnik, Springer, 2014
Parthier, R.: Messtechnik, Springer, 2020
Schrüfer, E.; Reindl, L.; Zagar, B.: Elektrische Messtechnik, Hanser, 2018

Softwaretechnik 2
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    322800

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Students learn how to develop modern graphical user interfaces (GUI) and how to store and read data from standard formats and databases (data persistence) in the Python programming language. The development of user interfaces is taught as an operating system-independent desktop application and as a web application. Standard operating concepts and the display of diagrams are explained. Both solutions use open source libraries.  Students also learn how to develop distributed systems based on MQTT and TCP/IP. The focus is on the MQTT protocol and the associated publisher/subscriber model. Open source applications are used and communication connections are taught in the Python programming language. The MQTT libraries used for the Python programming language are freely available open source libraries. After completing Software Engineering 2, students will have a comprehensive knowledge of the Python programming language and will be able to implement distributed systems based on MQTT with graphical user interfaces. They can apply this knowledge in the field of energy data processing in both technical and Business Studies areas in their further studies and careers.

Practical course in software engineering 2:
1. programming a GUI application for a chat application
2. programming a network communication (TCP/IP or MQTT) for a chat application
3. merging parts 1 and 2 while taking concurrency into account

Contents

Software technology 2:
- Components, widgets, control elements
- Diagrams for time series
- Event processing
- Layout management
- TCP/IP programming
- MQTT programming
- Migration of GUIs, data persistence and MQTT (parallel processing)

 

Teaching methods

The knowledge transfer takes place in the form of a lecture, which is a combination of theoretical presentations and exemplary program developments. In the exercises, tasks related to the lecture material are solved, thus deepening the lecture material and developing solutions for given problems.
Practical course:
Practical experiments in the laboratory and exercises on the computer. Working in small groups that organize and coordinate themselves.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Contents of the module Software Engineering 1

Forms of examination

Written exam
 

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Luppa, K.: Vorlesungsskript,  Übungsunterlagen und Praktikumsanleitung Softwaretechnik 2
Moore, A. D.: Python GUI Programming with Tkinter. Packt
Roseman, M.: Modern Tkinter for Busy Python Developers
Grayson, J. E.: Python and Tkinter Programming. Manning
Dabbas, E.: Interactive Dashboards and Data Apps with Plotly and Dash
Hillar, G. C.: Hands-On MQTT Programming with Python
Pulver, T.: Hands-On Internet of Things with MQTT
Trojan, W.: Das MQTT-Praxisbuch



 

Wirtschaftliche Grundlagen
  • PF
  • 6 SWS
  • 6 ECTS

  • Number

    322500

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    90h

  • Self-study

    90h


Learning outcomes/competences

Content:
Students deepen their understanding of economics in the areas of business and demand theory. They learn to understand the role of the state in Business Studies, particularly with regard to public goods such as the environment. Students develop a systematic, theoretical and practice-oriented understanding of the problems of general business administration. They learn the general  basic knowledge of modern business administration. They understand the basics of cost and performance accounting and the basics of profitability analysis.

Methodical:
Students will be able to apply classical economic models to current economic, energy and environmental policy issues. They understand the essential microeconomic concepts and can transfer these to applications in business administration. Students develop classical business management models and can apply them in practice. They understand basic methods of controlling and capital budgeting.

Personal/social:
Through active participation in the lecture, the content taught can be taken up and clarified by the students. Selected current topics in economics, business administration and the energy industry can be discussed together. Students learn to deal with basic economic and business management concepts and to apply these independently to problems. Students will be able to reflect on and communicate social aspects of the areas mentioned.

Contents

Economics:
Building on the introduction to economics
Theory of companies, production
Costs and supply, benefits and demand
Public goods, models of environmental policy
National accounts, introduction to macroeconomics

Business administration:
Fundamentals of Business Studies
Human resources and corporate management
Production management
Marketing
Cost and performance accounting
Principles of profitability analysis


 

Teaching methods

Lectures with exercises to reinforce and discuss the content and methods learned

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
 

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Volkswirtschaftslehre:
Bofinger, P.: Grundzüger der Volkswirtschaftslehre, 5. Auflage, Pearson Verlag, Hallbergmoos, 2019
Bofinger, P.; Mayer E.: Grundzüge der Volkswirtschaftslehre - Das Übungsbuch, 4. Auflage, Pearson Verlag, Hallbergmoos, 2020
Engelkamp, P.; Sell, F. L.: Einführung in die Volkswirtschaftslehre, 8. Auflage, Springer Gabler, 2020
Mankiw, N. G.; Taylor, M. P.: Grundzüge der Volkswirtschaftslehre, 8. Auflage, Schäffer-Poeschel Verlag, 2021
Putnoki, H, Hilgers, B: Große Ökonomen und ihre Theorien: ein chronologischer Überblick, 2. Auflage, Wiley, 2013

Betriebswirtschaft:
Wöhe, G., Einführung in die Allgemeine Betriebswirtschaftslehre, 27. Auflage, Vahlen, B15München, 2020
Britzelmaier, B., Controlling, Pearson, München, 2013
Nickenig, K.; Wesselmann, C.: Angewandtes Rechnungswesen, Springer, 2014
HGB, Handelsgesetzbuch


 

3. Semester of study

Anwendungssoftware und Schlüsselqualifikationen
  • PF
  • 5 SWS
  • 7 ECTS

  • Number

    323700

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    150h


Learning outcomes/competences

Students should use important aspects and basic principles of current software development in a project- and team-oriented manner based on manageable software projects from various application areas and document and present their project.

Key skills - rhetoric and presentation (SV)
- Preparing content in a target group-oriented way
- Applying the most important presentation principles
- Giving and receiving feedback
- Presenting the results developed in the team

Internship (P):
- Working in a team
- Independent processing of projects
- Compliance with specified interface definitions and boundary conditions
- Implementation of the theoretical principles
- Creation and documentation of sub-modules of complex software systems

Contents

Key skills - rhetoric and presentation:
Definition of rhetoric or applied rhetoric, means of persuasion according to Aristotle,
5 points for the success of a presentation:
- Goal and structure: topic, goal, target group, didactics, structure
- Personal communication + performance: language (body language, voice, content), clothing, personal appearance, dealing with the audience
- Design: media, slide design
- Group work: allocation of roles and tasks, teamwork
- Formalities: citation of sources

Practical course:
In this internship, the basic theoretical principles of software development and the key skills for project documentation and presentation are put into practice by working on a completed task that covers all relevant aspects
. Possible tasks are:
- Development of distributed software systems
- Programming ergonomic user interfaces (menus and window techniques)
- Programming of software interfaces from the specialist areas of specialization of the Faculty of Electrical Engineering
- Programming tasks to solve engineering problems
- Research on the Internet or in the library relating to the functionality of real, technically implemented systems/devices

Teaching methods

Seminar-style course in which students reflect on their project work in a group, collegial supervision, analysis and consideration of the most important success factors for teamwork, analysis and practice of the optimal documentation and presentation method for the respective project; discussion in and feedback from the group.
Practical course in which various projects are carried out under guidance and given tasks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Presentation of the project results on the basis of a compulsory written paper followed by an oral examination.

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

3,37%

Literature

illar, G. C.: Hands-On MQTT Programming with Python
Pulver, T.: Hands-On Internet of Things with MQTT
Trojan, W.: Das MQTT-Praxisbuch
Rob Williams: "Real-Time Systems Development", Elsevier 2006
Jack Ganssle: "The Art of Designing Embedded Systems", Newnes 2008
Jones, Ohlund, Olson: Network Programming for .NET, Microsoft Pres

Energiedatenmanagement
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    323300

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Content:
Students learn about data exchange and the associated formats in the energy industry. They will learn the basics of working with master data and time series. They learn how to process energy industry and customer or market role-related data using standard energy industry software systems. You will understand the possible applications of energy data management in both energy supply and energy management. You know the path of energy data from the (smart) meter via processing in the EDM software to applications in forecasting, billing and other applications.
In preparation for carrying out projects in a professional environment (companies and engineering offices, but also universities), students learn the basics of project management. The focus here is on the technical area, in particular on projects in software and energy technology R&D (research and development). This includes both the handling of resources and personnel.
 
Internship:
Students should apply the knowledge acquired in the lecture Energy Data Management  and use it to work on current issues in the energy industry. The topics of master data, energy balancing, data exchange are to be practiced independently  on standard market applications. The practical course is modular in its form and uses the results of the previous course in the subsequent course so that an overall energy industry context is created.


 

Contents


Energy data management

Architecture of energy management systems
Functions and tasks of energy management systems
Electricity supply with balance group
Master data and time series types (individual time series types, total time series types, type and energy type-specific EEG feed-in time series, ...)
Data formats in exchange processes in the energy market (interfaces, EDIFACT, XML)
Exchange processes in the energy market (business processes for supplying customers with electricity (GPKE), switching processes in electricity metering (WiM Strom), market processes for electricity generating market locations (MPES))
Energy balancing (market rules for the implementation of balancing group accounting for electricity (MaBiS))

Internship:

- Experiment 1:
Master data structure in the energy management system
- Experiment 2:
Energy balancing
- Experiment 3:
Data communication




 

Teaching methods

Lectures with practice-oriented exercises in the EDM section, practical course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam or team assignment on a topic related to energy data management.

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

EDM:

Aktuelle Anwendungshilfe des BDEW, wie Aktivitätsdiagramme der Marktprozesse für erzeugende Marktlokationen (Strom)
MPES Strom BK6-20-160 vom Version: 1.4 vom 7. Dezember 2021

BNetzA, Marktregeln für die Durchführung der Bilanzkreisabrechnung Strom
(MaBiS), vom gemäß Beschluss BK6-20-160 vom 21.12.2020 Gültig ab: 01.04.2022

Valentin Crastan und Michael Höckel. 2022. Elektrische Energieversorgung 2. Energiewirtschaft und Klimaschutz, Elektrizitätswirtschaft und
Liberalisierung, Kraftwerktechnik und alternative Stromversorgung, chemische Energiespeicherung. Springer Verlag.

Panos Konstantin. 2017. Praxisbuch Energiewirtschaft. Springer Verlag.

Ulrich Mahn und Alexander Klügl. 2018. Netzzugang Strom. VDE-Verlag.

Grundlagen der elektr. Energieverteilung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    323200

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    90h


Learning outcomes/competences

Students are familiar with the principle of multiphase power systems, in particular symmetrical three-phase systems. They know the basics and structure of electrical interconnection, transportation and distribution networks. They are able to understand and evaluate electrical power supply systems and grids using equivalent circuit diagrams. In addition, they will be able to apply the basic calculation methods required for the design and planning of electrical grids.
Students know different types of neutral point treatment in power grids and can justify them. Students are familiar with basic types of grid faults, their significance and calculation methods.

Contents

-Introduction to electrical transmission and distribution grids (tasks, design and grid structures, circuits and voltage levels, HVDC and FACTS, current challenges and trends, smart grids, smart metering, sector coupling, technical connection conditions, regulations). '-'Three-phase systems and basics (generation of single-phase and multi-phase systems, symmetrically and asymmetrically linked three-phase systems, complex calculation, power measurement, method of symmetrical components?, per-unit system.
- Basic network elements and their mathematical simulation (overhead lines, transformers and synchronous machines: Mode of operation, equivalent circuit diagram, circuits, symmetrical
components, modeling)
- Power flow calculation (node types and load behavior, current iteration, Newton-Raphson method, power flow in undisturbed operation,  voltage drop, natural power, reactive power problems, load shifting, common simulation tools)
- Short-circuit calculation (causes of short-circuits, types of faults and short-circuit effects, short-circuit current progression over time, faults remote from the generator and near the generator, short-circuit current calculation using the equivalent voltage source method)
Introduction to neutral point treatment (earth fault, earth fault compensation, low-resistance neutral point earthing, etc.).
- Introduction to other topics of transport and distribution networks (protection technology, transient processes in the network, overvoltages and insulation coordination, network perturbations, network stability)

Teaching methods

The theoretical knowledge is presented and explained in the lecture by means of blackboard and slide work, non-animated and animated presentations. In the exercises, the methodological knowledge imparted is applied to manageable network sections and examples and the reference to practical application is established. Typical project examples and larger network configurations are presented with network calculation tools. The lecture notes and collections of exercises are made available for download on the web.


 

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Fundamentals of electrical engineering: alternating current technology, complex pointer calculation, transformer basics

Forms of examination

Written exam
 

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,41%

Literature

Oeding D., Oswald, B.R.: Elektrische Kraftwerke und Netze, Springer-Verlag Berlin
Flosdorff, R., Hilgarth, G.: Elektrische Energieverteilung, Vieweg+Teubner Verlag Wiesbaden
Heuck, K.; Dettmann, K.-D.;Schulz, D.: Elektrische Energieversorgung, Vieweg+Teubner Verlag
Clausert/Wiesemann/Hindrichsen/Stenzel: Grundgebiete der Elektrotechnik
Schlabbach, J.: Elektroenergieversorgung,VDE-Verlag Berlin
Nelles, D. u.a.: Kurzschlussstromberechnung, VDE-Verlag Berlin
Pistora, G.: Berechnung von Kurzschlussströmen und Spannungsfällen, VDE-Verlag Berlin
Harnischmacher: Skript zur Vorlesung, Praktikumsanleitung, Software-Tutorial

Regulatorische Energiewirtschaft
  • PF
  • 6 SWS
  • 6 ECTS

  • Number

    323400

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    90h

  • Self-study

    90h


Learning outcomes/competences

Network management and network regulation:
After successfully completing this module, students will be familiar with the regulated grid business and the operator strategies based on it.
They know in detail the mechanisms and influencing factors of incentive regulation and can generate and evaluate corresponding factors from company data.

Asset management:
In terms of content:
Students know the tasks and objectives of asset management in companies . They understand the special requirements of asset management for grid-bound energies in the interplay between technology, Business Studies and regulation. They know the strategies of asset management and understand the commercial, technical and legal control tasks. They know the possibilities of organizational integration in energy supply companies.

Methodological:
Students learn about the management standard DIN ISO 5500^1 as a method for planning and implementing processes in the company.
They learn to apply risk management methods to the handling of systems.

Contents

Network economy and regulation:
- Fundamentals of regulation with historical development
- EU requirements, implementation variants in Europe, mapping in the German Energy Industry Act
- Regulatory models, role of grid operators and competitive market participants
- Regulation of electricity and gas grids (regulatory objectives, regulatory methods - cost regulation, regulatory methods - quality regulation, efficiency, DEA and SFA procedures,  incentive regulation, revenue cap)
- Grid usage calculation (principles of grid cost calculation, cost allocation)
- Grid topologies / voltage levels
- Market roles (transmission system operator, balancing energy, balancing energy, distribution system operator, load profile procedure)

Asset management:
Asset management in the grid-bound energy supply
- Tasks of asset management
- Legal framework and regulation
- Players, roles, organization
Asset management strategies
- Maintenance and ageing
- Network development and renewal
- Strategy development and evaluation
Asset management as a process
- Management standards and company processes
- DIN ISO 5500x
- Controlling and steering in asset management
- Asset management and network service
- Risk management and asset management
- Energy management and asset management
 

Teaching methods

Lecture and exercise

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
 

Requirements for the awarding of credit points

Module test must be passed
 

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Gesetzes- und Verordnungstexte
Ausführungsbestimmungen der BNetzA
Bundesnetzagentur. 2022. Monitoringbericht 2021. Berlin
Heier, A. 2021. Praxishandbuch Netzlastberechnung. Vogel Verlag
PWC. 2020. Entflechtung und Regulierung in der deutschen Energiewirtschaft -Band I Netzwirtschaft. Auflage 5. Haufe Verlag
Mahn, U und A. Klügl. 2018. Netzzugang Strom einfach erklärt. VDE Verlag
Seidel, M. u.a. 2020. Netzentgelte Strom einfach kalkuliert. VDE Verlag
Mahn, U. 2018. Anreizregulierung einfach erklär. VDE Verlag

G. Balzer, Ch. Schorn: Asset Management für Infrastrukturanlagen – Energie und Wasser, 3. Auflage, Springer Vieweg, 2020
A. Stender, Netzinfrastrukturmanagement, Dissertation St. Gallen 2008
P. Konstantin: Praxishandbuch Energiewirtschaft, Springer, 2017.
DIN ISO 5500x+B13
 

Wettbewerbliche Energiewirtschaft
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    323500

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences


In terms of content:
Students will deepen the knowledge gained in the course Fundamentals of Energy Economics in the area of the competitively organized energy industry.
They understand the requirements for generation and storage in the energy industry and can explain modern concepts such as virtual power plants. You will be able to carry out economic feasibility studies for generation systems, also taking storage into account.
You will know the various markets for electricity, the traded products including their derivatives and understand the respective price mechanisms and associated bidding strategies. They understand the tasks of trading, analysis and portfolio management as well as risk management requirements and can describe the associated strategies. Students will be familiar with different concepts for the presentation of business models and will be able to apply these to the energy market. They understand the special tasks of sales for a commodity such as electricity. They understand the demands of climate change on the energy market and the resulting adjustments to the different areas of the electricity market. In particular, you will be familiar with concepts for balancing increasingly stochastic generation and demand. They are familiar with various approaches to forecasting loads and prices and can carry out load forecasts.
In the practical course, students deal with the business studies of generation systems including storage, the optimization of power plant deployment and the basics of load forecasting.

Methodologically:
Students can apply evaluation methods for generation and storage systems. They understand the integration of risk management methods into economic processes.

They understand the dependencies between market organization and pricing strategies. Students are familiar with business models as a method of illustrating the key interrelationships of an entrepreneurial strategy. Students learn the method of mixed-integer optimization with input optimization. They deal with analysis methods and learn a method of load forecasting using linear regression.

Students learn and develop their ability to create reports on selected issues, which are deepened in the practicals. In the practicals, students use standard software  from the energy industry to map their issues.

Personal/social:
Through active participation in the lectures, the content taught can be taken up and clarified by the students. In particular, current issues in the areas of sustainability/climate change/energy transition can be discussed in their economic and social dimensions and the reference to applications in the grid-bound energy supply can be established.
Students will work in small groups in the exercises and practicals. Students learn to work in teams and write the reports for the practicals together.

Contents


Generation and storage:
- Business Studies of centralized and decentralized generation and storage systems
- Markets for generation including balancing energy, grid and capacity reserve
- Optimizing the use of power plants

Trading, portfolio management and risk management:
- Areas of responsibility in electricity trading
- Analysis, load and price forecasts
- Valuation and management of the energy portfolio
- Trading products: futures, forwards, options and other derivatives
- Risk management processes and hedging in energy trading

 Sales and distribution:
-  Sales tasks and business models for electricity sales
- Customer loyalty, switching processes, tariff models
- Contractual relationships
- Billing processes and accounting


Internship:
- Dynamic profitability calculation of a system of generation plants and storage facilities
- Optimization of power plant deployment
- Forecasting with stochastic regression models

Teaching methods

Lectures with exercises
practical courses

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: The Business Studies module is a prerequisite
. The practicals use the EDM system presented in the Energy Data Management course as a basis. Parallel attendance of the aforementioned course is desired.

 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

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
Georg, J. H.: Stromvertrieb im digitalen Wandel, Springer Vieweg, Wiesbaden, 2019
Köhler-Schute, Ch.: Wettbewerbsorientierter Vertrieb in der Energiewirtschaft: Kundenverlustprävention, neue Geschäftsfelder und Produkte, optimierte Geschäftsprozesse, KS-Energy, 2011
Köhler-Schute, Ch.: Wettbewerbsorientierter Vertrieb in der Energiewirtschaft: Der Kunde im Fokus – Vertriebspotenziale nutzen und Prozesse optimieren, KS-Energy, 2015
Zenke, I.; Wollschläger, St.; Eder. J. (Hrsg): Preise und Preisgestaltung in der Energiewirtschaft, De Gruyter, Berlin, 2015
Hull, J.C.: Optionen, Futures und andere Derivate, 10. Auflage, Pearso, 2019
Unterlagen zu der Veranstlatung in ILIAS

4. Semester of study

Applikations- & Abrechnungssysteme
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    324030

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Students have detailed knowledge of the requirements and designs of relevant IT systems in the energy industry. Students also know the difference between standard and individual software, the structure and functional scope of application systems in the energy industry, such as ERP, billing, EDM and the use of RPA (robotic process automation) in common processes in the energy industry, such as GPKE (business processes for supplying customers with electricity).
In addition to specialist knowledge, students have also acquired key qualifications in this module.

Contents

- Basics and functions of billing systems
- Market and data communication (EDIFACT, AS4, XML, ...)
- Architecture of billing systems
- Billing systems in the application (SAP,  Schleupen, ...)
            - Mapping of different market roles, e.g. that of the supplier incl. tariff models, RTP billing, that of the metering point operator incl. communication and  
              Connection to the other market roles
            - Market communication on the basis of GPKE (business processes for the supply of electricity to customers) and MaBiS (market rules for the implementation of the
              balancing group settlement for electricity)
- Cloud applications (services, operator models, cloud applications in the energy industry)
- Fundamentals of RPA (Robotic Process Automation) development and application

Internship:
1. master data structure
2. billing/tariffing
3. market data communication

 

Teaching methods

Seminar-based course, practical training: Implementation on SAP IS-U including the mapping of various market roles

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

BNetzA. in der aktuellen Fassung. Geschäftsprozesse zur Kundenbelieferung mit Elektrizität (GPKE)
BNetzA. in der aktuellen Fassung. Marktregeln für die Durchführung der Bilanzkreisabrechnung Strom (MaBiS)
Utecht, M. und T. Zierau.  2018. SAP für Energieversorger. Rheinwerk Verlag
Jacob, O. 2008. ERP Value. Springer Verlag.
Matros, R. 2012. Der Einfluss von Clod Computing auf die IT-Dienstleister. Springer Gabler.
Fedtke, Ch. und St. Koch. 2020. Robotic Process Automation. pringer Vieweg.

Elektrische Energieanlagen und -netze
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    324020

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Lecture/ exercise:
Students know the basic operating equipment and components of electrical energy systems. They will be able to specify and justify their essential functions, properties and basic design features. They are able to interpret technical specifications of the equipment and know typical tests for acceptance and operational monitoring.
They can reproduce and interpret the importance of the individual components and equipment for the safe and economical operation of the electrical energy system. Students know different types of neutral point treatment in power grids and can justify them. Students are familiar with basic types of grid faults, their significance and calculation methods. They can interpret and propose grid protection designs.

Practical course:
Students can accompany selected equipment-specific, quality assurance tests and acceptance tests. They are able to evaluate and interpret the test results.

Students are able to work on their tasks in a team and document their results.

Contents

Lecture/exercise:
Functions, properties and design features of selected components and equipment of electrical energy systems. These include,
among others - Insulators and overvoltage protection devices of medium and high-voltage overhead line systems
- Medium-voltage cables
- Bushings for medium and high-voltage lines
- Current and voltage transformers for medium and high-voltage networks
- Switches and switchgear for medium and high-voltage switchgear
- Power transformers, block transformers, grid coupling transformers, local grid transformers
- Devices for voltage regulation (including tap changers, controllable local network transformers, longitudinal regulators)
- Star point treatment in networks
-Mains faults and fault calculation
-Grid protection

Practical course:
Component-specific test procedures and processes for checking characteristic properties from technical specifications and for operational monitoring, including ...
- High-voltage tests on insulating arrangements and their statistics
- Functional testing of surge protection devices
- Partial discharge measurement on selected insulating arrangements and equipment

Teaching methods

Lecture and exercise:
The theoretical knowledge is presented and explained in the lecture by means of blackboard and slide work, non-animated and animated presentations. In the exercises, the methodological knowledge taught is applied to examples and the link to practical application is established.

Practical course:
As a rule, three laboratory experiments are carried out. The high-voltage experiments are carried out by the students under the guidance of the lecturer. The students work on the test setup, carry out the switching processes and the measurements. The test evaluation is worked out in teams. The setup, execution and measurement results are recorded in an experiment report.
The report also includes the theoretical references to physics and the high-voltage components in practice.
Literature research and source searches at the manufacturing companies are recommended;

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided. The report must have been submitted and accepted by the deadline.

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

- Schwab, A. J.: Elektroenergiesysteme, 4. Aufl., Springer Berlin Heidelberg, 2015
- Heuck, K.: Elektrische Energieversorgung, 9. Aufl, Springer Fachmedien Wiesbaden 2013
- Küchler, A.: Hochspannungstechnik, Springer-Verlag Berlin Heidelberg 2009
- Skriptum zur Vorlesung

Energiedatenverarbeitung
  • PF
  • 3 SWS
  • 3 ECTS

  • Number

    324050

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

In terms of content:
Students understand the handling of data, the cleansing of data, the standardization of data, the interaction of data from different sources. They know how to handle data statistically and can apply this with common software tools.
Students learn to adapt data to different aspects of use, such as load forecasting, project evaluations, technical design of systems and use this knowledge in practical examples of load forecasting.

Methodological:
The students deal with methods of data analysis and data cleansing.
Methods of load forecasting and the evaluation of energy concepts are developed using examples.

 

Contents

- Cleansing and normalization of data
- Data interactions and correction approaches
- Use of data in load and power forecasting, adaptation and preparation of input data
- Data for technical designs and Business Studies

 

Teaching methods

Lectures with practice-oriented software-supported exercises

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
In terms of content:
Energy data management is a prerequisite.

Forms of examination

Written exam, oral exams or presentation

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,45%

Literature

Wes McKinney - Datenanalyse mit Python, O'Reilly
Werner Stahel - Statistische Datenanalyse, Vieweg Teubner
k. Backhaus et. Al. - Multivariante Analysemethoden: Eine anwendungsorientierte Einführung, Springer Gabler
Unterlagen zur Vorlesung

Energieinformationstechnik und Leitsysteme
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    324040

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Energy information technology and control systems:
Students learn the design and structures of energy information technology and control systems that are used to monitor and control electrical energy networks in the energy industry. This includes process coupling and the parameters of telecontrol systems, network-based communication standards, structured operating concepts and hierarchical data models. Particular emphasis is placed on open and manufacturer-independent standards, which are used to explain process data types, coding of information elements and basic application functions. Students also learn about the structure of intelligent metering systems and the requirements of the technical guidelines of the Federal Office for Information Security (BSI).  After completing Energy Information Technology and Control Systems, students have extensive and practical knowledge of grid control and telecontrol technology as well as intelligent metering, which they can apply to tasks in their studies and careers.   

Internship:
In the internship, students deepen their knowledge of energy information technology and control systems using a specific task and components from the energy industry. They parameterize a communication interface from telecontrol technology to network control technology. Students learn how to parameterize the various system levels and apply their knowledge to a practical project. Using a process data simulator, students learn how to log and analyze "real" energy information and control technology telegrams. Students learn how to analyze SML telegrams.




 

Contents

Energy information technology and control systems:
- System structure and components of telecontrol systems
- Digital and analog process data coupling
- Interfaces and relevant standards:
   IEC 60870 "Telecontrol equipment and systems"
   IEC 61850 "Communication networks and systems for automation in electrical power supply"
- Control system structures and components, control levels, definition of terms
- Applications of control technology, project planning and parameterization
- Structure and application of intelligent measuring systems
- Technical guideline of the Federal Office for Information Security (BSI)
- OBIS (Object Identification System) code number system
- Meter reading and load profiles
- Smart Message Language (SML)

Practical course:
1. IEC 60870-5-104 Process data simulation and telegram recordings
2. IEC 60870-5-104 Parameterization and telegram analysis
3. SML telegram analysis

 

Teaching methods

The theoretical knowledge is presented and explained in the lecture. In the exercises, the methodological knowledge taught is applied to examples and thus the lecture material is deepened and solutions are developed for given problems.

Practical course:
Practical experiments in the laboratory and exercises on the computer. Work in small groups that organize and coordinate themselves.



 

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Software technology 1+2

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Luppa, K.: Vorlesungsskript, Übungsunterlagen sowie Praktikumsanleitung Energieinformationstechnik und Leitsysteme
Schwab, A. J.: Elektroenergiesysteme, Springer Vieweg
Crastan, V., Westermann, D.: Elektrische Energieversorgung 3, Springer
Buchholz B. M., Styczynski, Z.: Smart Grids, Springer
Aichele, C.: Smart Energy, Springer Vieweg
Rumpel, D., Sun, J. R.: Netzleittechnik, Springer
IEC 60870-5 Normenreihe
BDEW Whitepaper Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BSI Technische Richtlinie TR-03116


 

Energierecht und Genehmigungsrecht
  • PF
  • 3 SWS
  • 3 ECTS

  • Number

    324060

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Students are familiar with the main features and functions of German and European energy. Students are familiar with the main features and functions of German and European energy and licensing law, they are able to classify energy policy developments and observe the resulting energy legislation in everyday business life.

Contents

- Function, effect and creation of law' - basics of European law, civil law and public law
- Legal foundations of energy law
- Legal foundations of construction and approval law
- EnWG, EEG, KWKG, MSBG, BSI Act
- Renewable energy law (wind power, photovoltaics, biomass, geothermal energy, hydropower)
- Construction planning law, planning approval law, infrastructure law
- Procedures, approval procedures, legal protection
- Political framework conditions and trends; European and German energy policy
- Current energy policy topics

Teaching methods

Lecture 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)

BA Energy Economics and Energy Management

Importance of the grade for the final grade

1,45%

Literature

Gesetzes- und Verordnungstexte
Reshöft , Schäfermeier. 2019. EEG Erneuerbare-Energien-Gesetz. Nomos.
Schöne, T. Vertragshandbuch Stromwirtschaft Praxisgerechte Gestaltung und rechtssichere Anwendung. EW Verlag.
Bundesnetzagentur. 2022. Monitoringbericht 2021. Berlin.
Baur, Salje, Schmidt-Preuß. 2016. Regulierung in der Energiewirtschaft. Carl Heymanns Verlag.
PWC. 2020. Entflechtung und Regulierung in der deutschen Energiewirtschaft. Haufe Verlag.
Ohms, M. 2023 Recht der Erneuerbaren Energien. C.H.BECK
Stüer, B. 2023. Handbuch des Bau- und Fachplanungsrechts. C.H.BECK

Rationelle Energieanwendung
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    324010

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Students are given an overview of energy conversion technologies for covering useful energy requirements (particularly in buildings). They learn to understand their functional principles and the possible applications. They will gain knowledge of corresponding evaluation parameters such as efficiency and coefficient of performance and will be able to calculate these evaluation parameters themselves. This enables them to carry out comparative assessments of technologies with regard to the lowest possible energy consumption. Students should be able to calculate the energy requirements for buildings to ensure the thermal comfort of their users and be able to evaluate and compare the various methods for covering these energy requirements in terms of energy efficiency.

Contents

Lecture:
- Motivation for rational energy use
- Factors influencing the energy demand
- Energy demand calculation
- Heating systems
- Combustion systems
- Solar thermal systems
- Heat pumps
- Cooling systems
- Local and district heating
- Ventilation systems and installations
- Heat recovery
- Light and lighting technology

Exercises:
- Building heat balance
- Heat recovery efficiency
- Efficiency
- coefficient of performance
- Light yield

Practical course:
- Characteristic curve of the solar cell
- Coefficient of performance of the heat pump
- Luminous efficacy of lamps

 

Teaching methods

The lecture teaches the basics and possible applications of technologies for the rational use of energy.
The exercises allow the material to be deepened by setting tasks on technical and, in particular, energy-related contexts, which the students first work on independently and then discuss together.
In the practical course, various experiments are carried out using technologies for the rational use of energy under the guidance and specification of tasks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Fundamentals of energy technology

Forms of examination

Written or oral exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Miara et al.: Wärmepumpen, Heizen - Kühlen - Umweltenergie nutzen, BINE Fachbuch, Fraunhofer IRB-Verlag, Stuttgart (2013)
Deutsches Institut für Normung (DIN): DIN V 18599: Energetische Bewertung von Gebäuden, Beuth (2018)
Deutsches Institut für Normung (DIN): DIN EN ISO 7730: Ermittlung des PMV und des PPD und Beschreibung der Bedingungen für thermische Behaglichkeit, Beuth (2005)
Gieseler, U.D.J; Heidt, F.D.: Bewertung der Energieeffizienz verschiedener Maßnahmen für Gebäude mit sehr geringem Energiebedarf, Forschungsbericht, Fachgebiet Bauphysik und Solarenergie, Universität Siegen, Fraunhofer IRB-Verlag, Stuttgart (2005).
Hastings, R; Wall, M. (Editors): Sustainable Solar Housing – Volume 1: Strategies and Solutions, Volume 2: Exemplary Buildings and Technologies, Published by Earthscan on behalf of the International Energy Agency (IEA), London (2007)
Prehnt, M. (Herausgeber): Energieeffizienz, Springer, Heidelberg (2010)

5. Semester of study

Energiemanagement
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    325030

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Students should be able to define the requirements for energy management in the corporate environment. They should know the legal and economic framework conditions for energy management. In particular, they should be able to describe the requirements for energy management systems in accordance with DIN EN ISO 50001 and energy audits in accordance with DIN  EN 16247.
They should understand energy management as a cross-functional task that plays an important role in many corporate functions, such as production, logistics, purchasing, building management, etc. They will be familiar with examples of energy management applications and the potential for more efficient energy use in technical processes. Students understand self-generation and the flexibilization of consumption as optimization potential for companies in dealing with energy.
In addition, students should become familiar with project management methods in this project-oriented course and also use them.

Internship:
In the practical course, students deal with various aspects of energy management. Among other things, they should be able to carry out load profile analyses and, building on this, carry out an evaluation of measures within the framework of energy management;

Contents

- Energy management system in accordance with DIN EN ISO 50001
- Energy audits in accordance with DIN EN 16247
- Applications in building/facility management, production and logistics
- Energy data: Energy balances and energy indicators
- Energy efficiency and potential savings
- Energy generation and procurement, flexibilization of consumption
- Evaluation of savings measures
- Controlling processes

Internship:
- Project management tools
- Load profile analyses
- Evaluation of savings measures

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 creation of this study is accompanied in the exercises.
Internship:
The internship provides practical experience of elements of project management and in particular elements of energy management.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Presentation based on a written elaboration
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

- Deutsches Institut für Normung e.V.: DIN EN ISO 50001:2018
- Deutsches Institut für Normung e.V.: DIN 16247
- Geilhausen, M. et al: Energiemanagement: Für Fachkräfte, Beauftragte und Manager, 2. Auflage, Springer Vieweg, Wiesbaden,2019
- Brugger-Gebhardt, S.; Jungblut, G.: Die DIN EN ISO 50001:2018 verstehen, Die Norm sicher interpretieren, Springer Gabler, Wiesbaden, 2019
- J. P. P.: Lehrbuch für Energiemanager und Energiefachwirte, Springer Vieweg, Wiesbaden, 2018
- Kals, J.: Betriebliches Energiemanagement, Eine Einführung, Kohlhammer, Stuttgart, 2010
- Schmitt, R.; Günther, S.: Industrielles Energiemanagement, Carl Hanser Verlag, München, 2014

 

Informationssicherheit
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    325020

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

The students have detailed knowledge of the requirements and implementation of secure data systems and the relevant IT systems in the energy industry.  In particular, they know 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 notes of the standards DIN ISO/IEC 27001, DIN ISO/IEC 27002 and DIN ISO/IEC TR 27019 for the assets in the scope of application, such as control and telecommunications systems, IT inventory systems, such as EDM, GIS, market communication and process control systems.

Furthermore, students know the basic measures for ensuring IT security (control of access to systems and applications, data backups, development, test and operating environment, ...), such as the mathematical and procedural basics of cryptographic systems.

Practical course:
Information security systems can be set up using a commercially available application.

Contents


- 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)
- 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))

Discrete mathematics (of information theory) and cryptographic procedures

Measures for information security
-Control of access to systems and applications

Data backup
 -Cryptographic measures
 -Development, test and operating environment


Internship:

- Experiment 1 ISMS setup
- Experiment 2 Risk management in the ISMS
- Experiment 3 Measures in the ISMS

Teaching methods

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

Practical course:
Development of information systems on a common ISMS software in the IT laboratory.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Appelrath, H, u.a. 2012. IT-Architekturentwicklung im Smart Grid.
bitkom und VKU. 2015. Praxisleitfaden IT-Sicherheitskatalog.
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.
Matros, R. 2012. Der Einfluss von Clod Computing auf die IT-Dienstleister. Springer Gabler.
FNN/DVGW. 2015. Informationssicherheit in der Energiewirtschaft.
VDE. 2014. Positionspapier Smart Grid Security Energieinformationsnetze und –systeme.
Eckert, C.: IT-Sicherheit: Konzepte - Verfahren - Protokolle, De Gruyter Oldenbourg
Pohlmann, N. 2019. Cyber-Sicherheit. Das Lehrbuch für Konzepte, Prinzipien, Mechanismen, Architekturen und Eigenschaften von Cyber- Sicherheitssystemen in der Digitalisierung. Springer Vieweg.
Kriha, W. und R. Schmitz. 2009. Sichere Systeme, Konzepte, Architekturen und Frameworks

Netzführung und -regelung
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    325040

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

Grid management and control:
Students learn the tasks involved in grid management and grid control of an energy supply grid. For the area of grid management, this includes the basics of carrying out switching operations, grid security calculation, in particular power flow calculation and maintaining n-1 security to ensure reliable grid operation. The application of energy information technology and control systems for grid management is also taught using examples. In the area of grid control, particular emphasis is placed on the dynamic processes of primary and secondary control and the task of frequency active power control in the context of system services is presented. In addition to frequency active power control, students learn about the methods of voltage reactive power control as a further system service. After completing grid management and grid control, students will have comprehensive and practical knowledge of the overall technical and operational concepts for grid control, monitoring and regulation, which they can apply to tasks in their studies and careers.
Internship:
In the practical course, students deepen their knowledge of grid management and grid control using various specific tasks, which they solve using simulation software. They learn to use both graphical modeling with the help of block diagrams and programming in an application-oriented programming language for the solutions they are looking for. The students learn to verify and analyze the results of their developed solutions and thus deepen their knowledge.

Contents

Grid management and control:
- Operating resources of energy supply networks
- Implementation of switching operations
- Node types and network topology
- Power flow calculation, current iteration
- Selected transfer elements of control technology
- Behavior of frequency-dependent loads
- Frequency power control in island and interconnected grids
- Voltage reactive power control

Practical course:
1. implementation and application of a power flow calculation with the stream iteration method
2. implementation of a power flow calculation with pandapower and comparison of the results from part 1
3. modeling of a frequency power control in the island grid and analysis of the frequency curve

Teaching methods

The theoretical knowledge is presented and explained in the lecture. In the exercises, the methodological knowledge imparted is applied to examples and thus the lecture material is deepened and solutions are developed for given problems.

Practical course:
Practical experiments in the laboratory and exercises on the computer. Working in small groups that organize and coordinate themselves.


 

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Energy information technology and control systems

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

Luppa, K.: Vorlesungsskript, Übungsunterlagen sowie Praktikumsanleitung Netzführung und Netzregelung
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

 

Regenerative Energiequellen
  • PF
  • 4 SWS
  • 6 ECTS

  • Number

    325010

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60h

  • Self-study

    120h


Learning outcomes/competences

The course provides an overview of regenerative forms of electrical energy generation. Students gain knowledge of current components of renewable energy systems, their design and application as well as their integration into the power grid. They will then be able to name and calculate the key parameters of photovoltaic systems (solar cells), wind power systems, hydroelectric power plants and electrochemical energy storage systems.

Practical course:
The material taught in the seminar is deepened, reflected upon and applied through practical work with equipment, laboratory setups and software tools. Professional competence is strengthened by re-anchoring the knowledge already acquired. The students' methodology is trained in a realistic manner. While tackling tasks in small groups, students strengthen key skills in planning their approach, discussing, presenting and documenting their results. They should be able to complete specific engineering projects while taking time and resource management into account.

Contents

Seminar:
- Overview of renewable energy sources
- Solar energy (photovoltaics, solar thermal power plants)
- Wind energy
- Hydropower
- Energy storage (batteries, pumped storage power plants)

Practical course:
- Solar energy supply: Determination of irradiation curve and yield at a specific geographical point
- Determination of the characteristic curve of a solar cell, alignment to the irradiation source, MPP tracking
- Wind energy: yield determination depending on wind strength
- Pumped storage / hydropower: measuring the efficiency of the pump / turbine, dependence of the efficiency on the output
- Energy storage: charging process, measurement of round-trip efficiency
- Inverter in partial load operation

Teaching methods

The seminar-style lecture conveys the theoretical content. Based on typical tasks, corresponding practical problems are dealt with in associated exercises.

Practical course:
Practical experiments in the laboratory. Corresponding conditions are investigated here using typical experiments. The experiment evaluation is worked out in teams. The setup, execution and measurement results are recorded in an experiment report.

 

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

2,89%

Literature

- Quaschning Volker: Regenerative Energiesysteme. Technologie - Berechnung - Simulation. – 3. Auflage, Carl Hanser Verlag München Wien, 2003
- Wagner A.: Photovoltaik Engineering. Handbuch für Planung, Entwicklung und Anwendung. – 2., bearb. Auflage, Springer-Verlag Berlin Heidelberg New York, 2006
- Alois P. Schaffarczyk: Einführung in die Windenergietechnik - Carl Hanser Verlag, 2012

Ausgewählte Managementaufgaben in der Netzwirtschaft
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348161

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Students are familiar with the main features and functions of German concession law, they can describe the concession competition and the tendering phases and classify the
requirements from the evaluation of the networks.

Contents

Calculation of grid usage
Concessions and concession procedures (expression of interest, publication of relevant grid data, concepts for grid takeover)
Purchase price determination methods (relevant network data, determination of current asset value, determination of capitalized earnings value, asset groups)
Current legal situation


 

Teaching methods

Lecture and exercise

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Oral examination

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Meier, J. 2014. Bewertung von Energieverteilnetzen im Falle eines Konzessionsübergangs. Springer Gabler
Spremann, K. 2002. Finanzanalyse und Unter- nehmensbewertung. Oldenburg
Deutscher Städte- und Gemeindebund (DStGB). 2017. Auslaufende Konzessionsverträge.
Illing. B. 2015. Der Einfluss von Netznutzungsentgelten auf die Last im Verteilernetz. Ilmenauer Beiträge zur elektrischen Energiesystem-, Geräte und Anlagentechnik (IBEGA). Band 13.

Datenanalyse mit Python
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348350

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Students know basic methods of data analysis and are also able to apply these themselves using Python
. apply them. They are able to familiarize themselves with the use of further numerical methods and Python libraries
familiarization.

Contents

Basic concepts of data processing and analysis with Python
- Importing data sets in various formats
- Visualization of two- and three-dimensional data sets
- Numerical and statistical processing of data
- Image manipulation and analysis
- Fitting and optimization methods
The methods presented include general approaches from data processing and visualization and
optimization. The focus of the course is on the practical application of the methods using generic and subject-specific examples
The subject-specific application examples used come from the field of environmental technology and the energy market and are continuously adapted.

Teaching methods

Lectures, exercises with independent solving of practical tasks, independent development of teaching material

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics 1 and Mathematics 2, basics of programming

Forms of examination

will be announced at the beginning of the semester

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Skript zur Vorlesung

Energiewelt Heute und in der Zukunft
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348163

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Students should be familiar with the energy industry context of the energy market and understand basic technical, Business Studies, legal and regulatory contexts. Students should be familiar with the status quo for all stages of the value chain (generation, grids, trading and sales) and be able to discuss possible developments with their advantages and disadvantages. They should be familiar with and be able to evaluate the key issues of the energy transition. Among other things, they should be able to economically evaluate simple investments in the energy sector and understand and apply the framework conditions of the energy market. Furthermore, they should be able to independently develop and evaluate energy industry issues.

Contents

Economy, ecology and security of supply describe the target triangle of the energy industry. Together, these are  the criteria that energy systems must - at a minimum - fulfill today  Recently, a social component has apparently been added. What the status quo of the energy market looks like in relation to all stages of the value chain, i.e. decentralized/centralized generation, grids (electricity, gas, heat, H2, ...), trading and sales, what advantages and disadvantages there are in the respective future and current forms and how the respective stages of the value chain will change, will be presented and discussed in the course. The subject shows the framework conditions for the energy transition, i.e. a climate gas-neutral energy supply, across all stages of the value chain and in the context of European and international developments. Current developments (e.g. the current energy price brakes) are repeatedly examined and their implications for the energy transition are considered, as well as developments in other areas such as politics (Russia), digitalization (e.g. intelligent measuring systems, iMSys), business administration, economics and law with their effects on an energy system. Particular emphasis is placed on highlighting many practical references, some of which go beyond the energy industry context, e.g. project management, leadership behavior, SAP.

Teaching methods

The theoretical specialist and methodological knowledge is presented, explained and discussed in the lecture. In exercises, the methodological knowledge imparted is applied and deepened using practical examples.
The lecture notes will be made available for download on the internet.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

/

Gebäudesimulation
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348337

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

- Knowledge of the basic concepts and classifications of simulations
- Knowledge of the procedure for simulation studies
- Overview of the different types of simulation methods and their differentiation
- Evaluate the applicability of simulation methods for the respective task

Contents

The lecture Building Simulation introduces the methods of simulation technology. The thematic focus is on the investigation of energy-related issues in buildings. Particular emphasis is placed on the structured approach to simulation tasks. Based on a classification of simulation types, the procedure for selecting and creating suitable simulation models, carrying out simulations and evaluating the results are discussed. Different types of simulation methods are presented. These cover in particular the area of computer-aided tools. Insights are given into the mathematical modeling of the simulation tools. However, neither the lecture nor the exercise will deal with the programming implementation of the models (programming knowledge is therefore not necessary). The aim is rather to learn a structured approach to simulation and, knowing the strengths and weaknesses of the various tools, to select the most suitable one for the specific task and to be able to interpret its results correctly. Using the example of the heat balance of buildings, the procedure as well as the evaluation and interpretation of the results are deepened in the context of lectures and accompanying exercises on the computer.

Teaching methods

The lecture provides an overview of terms, fundamentals and various methods of building simulation. In the exercises, these basic concepts are first deepened. Subsequently, based on an example building, calculations of the energy demand are carried out and compared using various methods (analytical calculation, static simulation, dynamic simulation).

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

- Sauerbier, Thomas : Theorie und Praxis von Simulationssystemen, Vieweg Studium Technik, Braunschweig (1999)
- Gieseler, U.D.J., Bier, W., Heidt, F.D.: Combined thermal measurement and simulation for the detailed analysis of four occupied low-energy buildings. Proceedings of the 8th Intern. IBPSA Conf., Building Simulation, Eindhoven (2003) vol. 1, pp. 391-398
- Gieseler, U.D.J; Heidt, F.D.: Bewertung der Energieeffizienz verschiedener Maßnahmen für Gebäude mit sehr geringem Energiebedarf, Forschungsbericht, Fachgebiet Bauphysik und Solarenergie, Universität Siegen, Fraunhofer IRB-Verlag, Stuttgart (2005)
- Deutsches Institut für Normung (DIN): DIN V 18599: Energetische Bewertung von Gebäuden, Beuth Verlag, Berlin (2018)
- Baehr, H.D., Stephan, K.: Wärme- und Stoffübertragung, Springer Verlag, Berlin (2006)
- Klein, S.A., Duffie, J.A. and Beckman, W.A.: TRNSYS - A Transient Simulation Program, ASHRAE Trans. 82  (1976) pp. 623 ff

Industrial Solution Utilities
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348154

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Lecture (V) Industrial Solution Utilities (ISU)
- Students describe the legal basis of energy supply in Germany
- They understand the structure of the master data for an energy supply customer and use the structure for their own master data structure in the demo system
- They describe the components for the market communication available in the energy supply


Exercises (practice):
- Work in randomly assembled teams of 2
- You will use the lecture content to create master data for the IS-U industry solution for energy suppliers
- You structure current tasks from the area of the IS-U application for municipal utilities/energy suppliers and users of IS-U

 

Contents

Lecture (V)
- Special business processes of a utility company and their support by ERP systems
- Networking with external systems via Application Link Enabling (ALE) and business workflow processes

Exercise (Ü):
The following aspects are covered in the exercises:
- Students gain an overview of the business process extensions of a standard ERP system for energy supply companies
- They actively use an IS-U demonstration system and set up master data in the system

 

Teaching methods

The theoretical knowledge is presented in the lecture and explained with the interactive involvement of the students. In the exercises, the methodological knowledge taught is applied to examples and the link to practical application is established. The use of standard software in the exercises enables students to develop and deepen their knowledge of the systems. Using application and case studies, students apply their knowledge in practice and thus deepen their professional competence. In doing so, they learn to describe operational issues in detail, analyze them and combine them with an IT-supported solution.
Some of the tasks are based on current problems from external companies that implement IS-U for their customers. This enables interested parties to evaluate and assess the current daily business of IS-U users. The seminar presentations are designed as teamwork and thus promote communication skills and the use of technical terms. The presentation of the results in front of an audience promotes the students' rhetoric and presentation skills.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
 

Forms of examination

Written or oral examination in the form of presentations

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Tobias Zierau: SAP for Utilites, Rheinwerk Publishing 2014
Michael Utecht, Tobias Zierau: SAP für Energieversorger,Rheinwerk Publishing 2017
Michael Utecht, Tobias Zierau: SAP S/4Hana Utilities, Rheinwerk Publishing 2018

Infrastruktursysteme der Energieversorgung
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348157

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Developments in energy distribution are being shaped by the ongoing energy transition and the transition to the age of digitalization.
These transformation processes result in adjustments and optimization in the electrical supply grid due to changes in the generation and consumer structure, both in grid planning and in grid operation.
This requires innovative solutions based on the integration of renewable energy sources into existing supply systems and the increasing use of electromobility.
The associated optimization of maintenance processes for plant operators requires strategy development and optimization of operational processes in the area of asset management (according to ISO 5500X) for plant operators.
In this module, students learn the fundamental issues in the field of grid planning under the framework conditions of digital transformation and the integration of renewable energy sources and electromobility.
After completing the module, students will be familiar with the necessary adjustments to the grid structure and the associated grid planning processes. They will be able to apply this knowledge to necessary adjustments in the area of grid structure and grid planning processes.

Contents

- Grid integration of decentralized generators
- Basics of grid planning
- Fundamentals of electromobility charging infrastructure from a grid planner's perspective
- Process flows in asset management according to ISO 5500X
- Maintenance processes for various grid operating resources

 

Teaching methods

Seminar-based teaching

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

/

Kraftwerksanlagen
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348155

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

The field of power plants is covered comprehensively, from the basics of energy supply,  to the technical and political boundary conditions and the conventional and new technologies for power generation and storage. The aim is to enable students to understand the energy supply system from generation to marketing of the electricity product and to recognize future trends. Students will learn about the development from fossil to renewable electricity generation, the advantages and disadvantages of conventional and renewable technologies and the associated challenges for grids and storage. In addition to the technologies, students will learn the basics of the development, planning, economic evaluation, construction, commissioning and operation of power generation plants. This enables students to analyze, evaluate and implement various power plant projects.

Contents

Basics of energy supply - terms and units, politics and law in Germany and Europe;
Energy sources - occurrence, properties and use in Germany, the EU and the world;
Electricity - product, market and prices;
Structure of the electricity supply - grids and grid usage;
Power plants - energy conversion, technologies, costs and business studies Development - coal, nuclear power, gas, CCGT, CHP, industrial power plants;
Promotion and prospects for renewable energies - wind, water, biomass, sun, sea;
Storage - water, batteries, hydrogen, gas, "Norway", power-to-X,
Operation and maintenance, digitalization in power plant technology
Security of supply / "energy transition" - power plant deployment, cost structures, supply and demand
Power generation projects / power plant construction - from the idea to commissioning - determining and evaluating profitability

 

Teaching methods

The specialist knowledge is presented and deepened in lectures. Seminar elements such as videos, practical examples and discussions of current developments contribute to understanding and liveliness. Manual calculation examples are used to apply the knowledge taught. The lecture notes will be made available for download on the internet.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Diekmann, Rosenthaler: Energie: Physikalische Grundlagen ihrer Erzeugung, Umwandlung und Nutzung
VDI: Kraftwerkstechnik: zur Nutzung fossiler, nuklearer und regenerativer Energiequellen
Funke: Skript zur Vorlesung Kraftwerksanlagen

Light Technology
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    34619

  • Language(s)

    en

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

- Knowledge of the basic radiometric and photometric quantities.
- Knowledge of the measurement methods of the basic quantities.
- Understanding of how different light sources work.
- Knowledge of the requirements for interior lighting.
- Understanding the relationship between light generation and energy consumption.
- Application of radio and photometric quantities to evaluate light sources
    with regard to their use inside and outside buildings.
- Foreign language skills (English)

Contents

The lecture light technology introduces the technologies of light production and efficient illumination. First, the underlying fundamentals and relevant physical measures for light are introduced. This is followed by methods for light measurement and detection, including the human eye. The main part of the lecture covers the different mechanisms and technologies of light production. Corresponding sources include: Sun and Daylight, thermal radiators, electric discharge lamps, electroluminescent sources and light emitting diodes (LED). Applications presented are mainly in the area of light sources used in buildings and illumination techniques. Special consideration is given to energy efficient lighting in buildings.

Teaching methods

The lecture teaches the basic parameters of lighting technology and their measurement methods, the fundamentals of light generation and applications in lighting technology. As part of the exercises, students should solve tasks on the application of the basic variables of lighting technology from the fields of measurement technology, light generation and lighting technology as independently as possible and present these in a joint discussion.  
Lectures and exercises are held in English.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics (especially differential and integral calculus)

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Wyszecki, G.; Stiles, W.S.: Color Science. John Wiley & Sons, New York (2000)
Lighting Press International (LPI), PPVMEDIEN, periodical (English/German)
Hentschel, H.-J.: Licht und Beleuchtung, Hüthing Verlag, Heidelberg (2002)
Gall, D.: Grundlagen der Lichttechnik, Pflaum Verlag München (2007)
Schubert, E.F.: Light Emitting Diodes, E-Book, Cambridge University Press (2006)
Jacobs, A.: SynthLight Handbook, Low Energy Architecture Research Unit, LEARN,
         London Metropolitan University (2004),
        https://www.new-learn.info/packages/synthlight/handbook/index.html
 

Nachhaltigkeit
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348164

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Students should expand their knowledge of the various areas of sustainability, ecology, economy and social issues. They should discuss the necessity and consequences of sustainable developments together with students from other faculties.

As part of the seminar-based course, students strengthen key skills such as structured documentation & presentation of work results, as well as their discussion in the group.

Contents

- Social responsibility and sustainability
- Ecological sustainability, energy management, environmental management, sustainable mobility
- Economic sustainability: sustainability in business management
- Social sustainability and ethics of sustainability
- Supplements for the preparation of essays (reports and presentations)

Teaching methods

seminar lecture

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Presentation (possibly on the basis of a written elaboration)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

/

Netzstrategien und innovative Netzbetriebsmittel
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    348159

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

The subject area deals with the future orientation of electricity grids in the context of the energy transition. The new requirements, in particular the challenges of implementing the energy transition from a grid perspective, are discussed and grid strategies and the new role of grid operators to fulfill them are shown. New measurement, control and regulation technology as well as the use of innovative components in the grid area and smart household technology are presented to the listener and conveyed using practical examples. The listener deepens their knowledge by learning the basics of the structure of the concepts and components, the mode of operation and the advantages and disadvantages of using the grid. New planning and operating concepts for grid management and innovative tools for grid planning  are also discussed.

Contents

Challenges in implementing the energy transition in the grid sector
Grid planning / Innovative planning approaches and operating concepts / Implementation of digitalization in the grids
Smart metering and measuring systems, use of information and communication technology in the grid sector, smart household technology (smart  home)
Voltage regulators (rONT,  wide-range regulation, electronic regulators)
Intelligent local substations, charging stations for electric vehicles, controllable mains switches
Storage systems (home storage, grid storage, power to gas, ...)
Superconductors,  Weather-related overhead line utilization, high-temperature conductor cable
Smart energy grids (high, medium and low voltage)
Grid strategies
Future role of grid operators

 

Teaching methods

The specialist knowledge is presented in the form of lectures and practical examples are used to deepen the theoretical foundations of the concepts and novel components    Examples of the use of these new concepts and technologies in the network area are shown and then analyzed and  evaluated by the students.
The lecture notes will be made available for download on the web. In addition, there is film material to deepen the respective content as well as various specialist articles.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Bernd Michael Buchholz, Zbigniew Antoni Styczynski:  Smart Grids: Grundlagen und Technologien;
Mathias Uslar, Michael Specht, Christian Dänekas, Jörn Trefke, Sebastian Rohjans, José M. González, Christine Rosinger, Robert Bleiker: Standardization in Smart Grids: Introduction to IT-Related Methodologies, Architectures and Standards
Sterner, Michael, Stadler, Ingo: Energiespeicher - Bedarf, Technologien, Integration
Wolfgang Schellong: Analyse und Optimierung von Energieverbundsystemen
Stefan Willing: Skript zur Vorlesung Netzstrategien und Innovative Betriebsmittel
Diverse Fachartikel

Numerische Mathematik
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    34622

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

After successfully completing the module, students will be able to
- design algorithms for the numerical solution of classical mathematical problems (solving equations, differential & integral calculus, differential equations)
- apply numerical interpolation methods
- assess the performance of a numerical algorithm in terms of its runtime
- analyze the convergence of a numerical algorithm
- present the advantages and disadvantages of machine learning methods
- recognize areas of application of Monte Carlo methods.

Contents

- Fundamentals of computers, algorithms & discretization
- Numerical solution of equations with one variable
- Interpolation
- Numerical differential & integral calculus
- Numerical solution of differential equations
- Numerical solution of systems of equations
- Approximation theory
- Random numbers & Monte Carlo simulations
- Artificial intelligence & machine learning

Teaching methods

2 hours lecture + 1 hour exercise. The technical concepts and content are taught in the lecture.
The numerical methods are put into practice in calculation and programming tasks and students are enabled to independently design numerical solutions for practical applications.
The solutions are presented and discussed in the joint practice sessions.

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

-Faires, Burden: Numerische Methoden, Spektrum Lehrbuch
-Zurmühl: Praktische Mathematik, Springer
-Huckle, Schneider: Numerische Methoden, Springer
-Gerlach: Computerphysik, Springer (Einführungskapitel)

Technisches Englisch
  • WP
  • 3 SWS
  • 3 ECTS

  • Number

    32601

  • Language(s)

    en

  • Duration (semester)

    1

  • Contact time

    45h

  • Self-study

    45h


Learning outcomes/competences

Establishment of communication skills in the technical English language.
Ability to read, understand and communicate operating and programming instructions, technical data sheets, data sheets.
Students can create and give a presentation in English on technical topics

Contents

Technical vocabulary of the ET  /  Technical vocabulary of the ET
Specific features of technical literature (technical periodicals, technical sheets)  /  Specific features of technical literature (technical periodicals, technical sheets)
Technical translations German / English and English / German  /  Technical translations German / English and English / German
Preparation of a presentation in English  /  Working out an English presentation

Teaching methods

Seminar course, presentations

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)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Technische Datenblätter, Fachartikel (z. B. IEEE), diverse Lehrbücher "Technical English" / "English for Engineers"

6. Semester of study

Betriebliche Praxis
  • PF
  • 6 SWS
  • 10 ECTS

  • Number

    329820

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    0h

  • Self-study

    300h


Learning outcomes/competences

The "practical work experience" is intended to introduce students to professional activities through concrete, practice-oriented tasks or practical work in companies
or other institutions of professional practice.
In particular, it should serve to apply and reflect on the knowledge and skills acquired during previous studies by working on a specific task.

Contents

The "operational practice" is the independent completion of a project with demonstrable practical relevance.
The description, explanation and presentation of the solution worked on are part of the module and already serve as preparation for the Bachelor's thesis.
The task comes from one of the subject areas available in the study program.
Students are supported by a mentor from the university while working on the project.

Teaching methods

/

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Project-related work with documentation and presentation

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

4,82%

Literature

/

Thesis
  • PF
  • 0 SWS
  • 14 ECTS

  • Number

    103

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    0h

  • Self-study

    420h


Learning outcomes/competences

In the Bachelor's thesis, students should apply the specialist, methodological and key skills they have acquired during their studies to work on a complex task in a specialist area within a specified period of time. In this thesis, they acquire the ability to independently process and document both subject-specific details and interdisciplinary contexts using scientific and practical methods.

In the colloquium, the results of the work are to be presented in the form of a specialist lecture. Students should present the key points, methods and problem areas of the thesis in a concise form. Students are proficient in techniques for presenting, explaining and defending the results obtained in the field of work dealt with in the thesis. They can take part in a specialist discussion on the topics of the thesis, place them in the respective overall industrial framework and answer questions about scientific solutions and their boundary conditions;

Contents

The bachelor's thesis is an independent examination of a practical, engineering-related task with a detailed presentation and explanation of its solution. The task comes from one of the subject areas available in the study program. External work in an industrial company is possible and desirable. The conditions of the examination regulations must be observed.
The Bachelor's thesis is usually completed in the sixth or seventh semester and covers a continuous period of 12 weeks.
The specified deadlines can be found in the examination regulations.

The Bachelor's thesis is completed with a specialist presentation as part of a colloquium. The thematically defined task area of the thesis is worked through and presented using engineering methods.
Chains of argumentation for the chosen approach and the content-related approach to the work are formed and discussed.

Teaching methods

/

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Thesis and presentation

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Management

Importance of the grade for the final grade

Thesis: 15%, colloquium: 5%

Literature

/

Notes and references

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