Podkategorie
Kurzy
This module will cover the modelling and analysis of future energy systems, with a focus on renewable energy resources and how storage and network infrastructures can aid their integration into the energy system. Directly from the start of the course, students will be exposed to working with real data regarding historical weather data, land eligibility constraints, existing power plant fleets, transmission network data, electricity markets, and demand time series to learn about the challenges and solutions for a successful transition towards climate-neutral energy systems across the globe. Topics of the course include:
- Time series analysis of wind and solar generation, energy demands, technology costs and prices.
- GIS-based evaluation of renewable energy potentials.
- Modelling of daily and seasonal energy storage.
- Modelling of (linearised) power flows and transmission networks.
- Introduction to mathematical optimization (or repetition thereof).
- Electricity market designs with renewable electricity (merit order, market values, re-dispatch, nodal pricing)
- System planning of renewables deployment, energy storage and transmission infrastructure.
- Modelling of sector-coupling and demand-side management (examples from industry, buildings or transport).
- Modelling under uncertainty and methods of complexity reduction.
- Programming of energy system models in Python (e.g. pandas, geopandas, networkx, pyomo, cartopy, rasterio, PyPSA and atlite).
- Visualization and communication of energy system analysis.
- Trainer/in: Thomas William Brown
- Trainer/in: Paola Caria
- Trainer/in: Philipp Glaum
- Trainer/in: Fabian Neumann
In this seminar, students develop expertise in current research in energy systems modelling and energy economics. The seminar design facilitates an in-depth analysis of a selected research article, which teaches students a scientific approach to convey analysis, including a conduction of a literature research, formulation of research questions, conduction of quantitative/qualitative analysis, presentation of results, and drawing conclusions. Students achieve examination-relevant study achievements by giving a presentation. This teaches a skill of preparing and giving a talk an audience and moderating a professional discussion.
The seminar topics (research papers) cover novel developments in the research fields of energy systems modelling, energy economics and optimization. The list of papers will be offered by supervisors of the seminar. The research papers cover a broad range of concepts, issues and problems, such as energy transition, greenhouse gases, renewable electricity, energy efficiency, security of supply, transmission infrastructure, energy storage, capacity markets, economic effects, energy innovations, etc.; as well as various methods of quantitative analysis, such as applied optimization and econometric modelling.
- Trainer/in: Thomas William Brown
- Trainer/in: Philipp Glaum
- Trainer/in: Fabian Neumann
- Trainer/in: Iegor Riepin
Only offered in winter semester.
In this course students develop their expertise in energy policy and energy economics by dealing with current issues in energy policy and energy economics. They learn the ability to analyse complex issues, to present them in a way that is appropriate for the target group and to moderate a professional exchange.
Due to the close contact between the students and the supervisors, the students gain an in-depth insight into currently relevant developments in the energy markets.
- Trainer/in: Philipp Glaum
- Trainer/in: Thomas William Brown
- Trainer/in: Paola Caria
- Trainer/in: Julian Matthias Geis
- Trainer/in: Philipp Glaum
- Trainer/in: Fabian Neumann
Wirtschaftswissenschaftliche Grundlagen für Studierende der Ingenieurwissenschaften (6 LP)
Lernergebnisse
Lehrinhalte
- Trainer/in: Thomas William Brown
- Trainer/in: Paola Caria
- Trainer/in: Simon Galle
- Trainer/in: Simon Galle
- Trainer/in: Philipp Glaum
- Trainer/in: Laura Undine Göttl
- Trainer/in: Fabian Neumann
- Trainer/in: Marie Sophie Schubert
To make rational decisions in energy systems, it is essential to understand the complex interactions between different energy markets. This course introduces a range of modelling approaches of varying complexity to analyse these interdependencies. It also explores the key factors influencing energy supply and demand and presents methods for assessing scenarios for the sustainable development of energy systems.
The course covers fundamental concepts such as energy balances, time series analysis for demand as well as wind and solar generation, and the modelling of networks and power flows. It further addresses system integration topics, including storage integration, demand-side management, and sector coupling.
In addition, students learn analytical methods such as interdependence analysis using linear programming and the modelling of electricity markets and market coupling. Economic and policy aspects are covered through topics such as discounting and sustainability assessment, energy and ecological taxes, and energy efficiency. Finally, technological change is examined through innovation dynamics and experience curves.
- Trainer/in: Thomas William Brown
- Trainer/in: Paola Caria
- Trainer/in: Philipp Glaum
- Trainer/in: Fabian Neumann
- Trainer/in: Thomas William Brown
- Trainer/in: Paola Caria
- Trainer/in: Julian Matthias Geis
- Trainer/in: Philipp Glaum
- Trainer/in: Michael Peter Lindner
- Trainer/in: Fabian Neumann
- Trainer/in: Iegor Riepin
- Trainer/in: Caspar Paul Schauß
- Trainer/in: Amos Schledorn
- Trainer/in: Toni Elia Seibold
- Trainer/in: Lukas Thomas Trippe
- Trainer/in: Bobby Yuxiang Xiong