Electrochemical Energy Engineering (2L/1E) (Bachelor)
*This Lecture is only offered in English.
Instructor:Prof. Dr.-Ing. Daniel Schröder and Dr.-Ing. Balakrishnan Munirathinam
The students gain in depth knowledge about different types of energy as well as renewable and conventional energy sources. They can set up balance equations for energy conversion processes and obtain basic knowledge about processes for the conversion of physical, chemical, mechanical, and thermal energy. Furthermore, the students know how to select appropriate energy conversion technologies for given conditions, how to combine components to systems such as power plants, and how to model such systems.
Application and operating principle of fuel cells, batteries and electrolysers
Thermodynamics, potential and voltage of electrochemical cells
Kinetics and electrochemical reactions
Transport processes in electrochemical cells
Composition and types of fuel cells
Operation and Characterization of electrochemical cells
Fuel cell systems
Composition and types of batteries
Exercise: Application of the theory on fuel cells and batteries including example calculations.
Introduction to numerical methods for engineers (2L/1E)
*This course is offered only in German.
Instructor: Prof. Dr.-Ing. Daniel Schröder
After completing this module, the students have the ability to suitable select numerical methods for solving engineering problems and implement them on the computer. They can question simulation results critically in terms of numerical artifacts. In the accompanying exercises, students learn the practical use of current numerical methods. Students will learn the possibilities with and limitations of numerical methods and thereby gain the ability to evaluate results of numerical simulations on their practical significance.
Lecture: Fundamentals of modeling with Matlab ; Solution of nonlinear systems of equations ; Approximation of functions and data ; Numerical differentiation and integration ; Solving linear systems ; Integration of Ordinary Differential Equations . The lecture is founded on mathematical basics and will be supplemented practice-oriented. Available commercial and free software, which are suitable for solving numerical tasks from the practice of an engineer is presented.
Exercise: In the exercise, numerical methods taught in the lecture are tested on examples of mathematical models of engineering systems and evaluated. In this way, students learn to analyze numerical problems independently and to decide which methods are best suited for the solution. In addition, these problems will get solved practically. In the exercise the widely used commercial Software Matlab is used.
Instructor: Prof. Dr.-Ing. Daniel Schröder, Prof. Dr. -Ing. J. Köhler, Prof. Dr. -Ing. A. Kwade
Students get to know the manufacturing process of Lithium-Ion batteries in detail. Based on experiments and simulations they gain knowledge about properties and functionality of batteries. Furthermore, the students improve their skills in communication, team work, scientific language and practical work.
The research module imparts a deeper understanding of processes in chemical and energy engineering. The theoretical background and the practical implementation are treated by studying the manufacturing process of battery cells as well as the experimental characterization and simulation of these. The module is divided into three parts: At the iPAT, electrodes for battery cells are produced, characterized and then assembled into laboratory cells. At the InES, the cells are characterized by experiments and simulations. Based on the results, simulated experimental analysis of the thermal behaviour are carried out at the IfT.
Registration period: from now per E-Mail at h.karaki[at]tu-braunschweig.de Briefing: to be expected during the first or second week of the semester Internship dates: tba Rough planning: tba
The exact dates for the laboratory in the WS 2020/2021 still have to be set. We will have a meeting for a briefing. There the groups will be formed, the exact lab dates will be announced and the details according to the protocol will be discussed. The registration is at the moment possible. Please write an E-Mail to the contact person mentioned above. For the Registration you will need the following information:
Name Subject Matriculation number Semester
The module in StudIP is protected by password. The Passwort will be sent to the registered participants per E-Mail.
The module is offered during the Summer- and the Wintersemester. It lasts around one and a half Weeks. In every semester there are 12 slots (3 gropus each 4 persons) available for students. The final dates for the laboratories will be announced during the briefing.
Methods of Process Modelling and Optimization (2L/1E)
*This course is offered only in German.
Instructor: Prof. Dr.-Ing. Daniel Schröder and Dr. Katja Kretschmer
The students learn how to model chemical and biotechnological processes and aquire basic knowledge in deterministic physical modelling, empirical modelling, and stochastical modelling as well as process identification and optimization. They know how to analyze technical processes and and choose, set up, and simulate appropriate models for solving specific technical problems.
Introduction to process modelling
Physical deterministic process modelling
Empirical process modeling and system identification
In the exercise the theory from the lecture will be applied to process engineering and bioengineering problems. Example calculations of modelling and optimization problems will be performed. Additionally, the implementation and simulation of the aforementioned process models in Matlab will be practiced by the students.
This course is offered in cooperation with Ostfalia University. For this reason, the dates of this lecture may deviate from the regular semester dates at the TU Braunschweig. Further information can be found in the StudIP.
Course goals: The students acquire fundamental knowledge about the energy transformation in thermal power plants. They gain insight in composition, construction and dimensioning of thermal power plants. After participating in this module the students are able to develop concepts and solutions for thermal plants.
Lecture: Development of power plants, steam power process, steam generator (advantages and disadvantages as well as reasons for the development of various design), thermotechnical calculation and construction of steam generators, materials and stress analysis, heat transfer and flow losses, function and dimensioning of the auxiliary units such as condenser, water preheater, feed water- and circulating pump, safety valves, emission control, flue gas cleaning, turbo-machines in thermal power plants, combined systems and multi component processes, operating and load behaviour, regulation and control.
Übung: Deepening of the theoretical fundamentals due to application to examples from the power plant engineering, balancing and efficiency factors, dimensioning, construction of steam generator components according to guidelines and norms.
Engineering of Heating and Air Conditioning (2L) (Master)
*This course is offered only in German.
Instructor: Prof. Dr. -Ing. L. Kühl
The students gain fundamental knowledge about energy supply of buildings (domestic housing and industrial plants) in terms of heat for heating and warm water as well as for cooling for air conditioning and humidification / drying of air, recuperation of energy from hot flue gas streams. Furthermore the students are able to understand and handle simulation software and how design the respective technical plants.
Lecture: Physiologic fundamentals of heating and air conditioning; fundamentals of meteorology and heat engineering, technical heating components, systems and calculations, technical air conditioning components, systems and calculations, integration of renewable energies and recuperation of heat.
Lecturer: Prof. Dr.-Ing. Daniel Schröder and Dr.-Ing. Balakrishnan Munirathinam
Completing the "Energy Systems " course equips students with a deep understanding of energy fundamentals, including electrochemical, chemical energy, mechanical and nuclear energy and their real-world applications. They become proficient in conventional and renewable energy systems, capable of calculating energy flows and efficiencies. Students also master energy storage methods and network principles, including intelligent energy management. With the ability to design energy systems and choose sustainable solutions, they are prepared for careers in energy production, storage, and management, while staying updated on industry trends and emerging technologies.