Kurser

Seminar: New Research in Energy System Modelling SS2023

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.


Data Science for Energy System Modelling (SS23)

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.

Wirtschaftliche Grundlagen für Studierende der Ingenieurswissenschaften

Wirtschaftswissenschaftliche Grundlagen für Studierende der Ingenieurwissenschaften (6 LP)


Lernergebnisse

Die Studierenden sollen: - ein Grundverständnis zu wirtschaftlichen Sachverhalten und Zusammenhängen vorweisen, - die Funktionsweise von wichtigen wirtschaftlichen Institutionen kennen, - Literatur und weitere Informationsquellen für ihre Arbeit beschaffen können sowie diese Informationen in wissenschaftliche und praktische Zusammenhänge einordnen können, - in der Lage sein, selbständig einfache Investitions- und Finanzierungsrechnungen durchzuführen, - anhand einer kontrakttheoretischen Einführung in das Wesen von Unternehmen einen Überblick über ausgewählte zentrale Begriffe und Konzepte aus der Betriebswirtschaftslehre, der Mikro- und der Makroökonomik haben (dabei steht der handelnde Unternehmer bzw. dessen Produktions-, Investitions- und Finanzierungsentscheidungen im Zentrum), - Entscheidungskriterien und die wichtigsten Restriktionen erarbeiten können, - anhand von Fallbeispielen das fundierte fachliche Wissen verstanden haben und anwenden können. Die Veranstaltung vermittelt: 40 % Wissen & Verstehen, 40 % Analyse & Methodik, 20 % Recherche & Bewertung

Lehrinhalte

- Unternehmen - Betriebliches Rechnungswesen - Kostenrechnung - Investitionsrechnung - Steuern, Abschreibung - Liquidität, Finanzierung, Kapitalmarkt - Bewertung von Unternehmen

Link zu MTS

Energy and Climate Change 2023

Topics covered:  The lectures will cover the following topics

  • Introduction and overview
  • Climate physics
  • Energy systems transformation: The big picture
  • Decarbonization of energy demands in the industry, transportation, and buildings sectors
  • Bioenergy, carbon dioxide and negative emissions
  • Renewable energy integration and sector coupling
  • Climate change, air pollution and other environmental impacts of energy
  • The economics of climate change
  • International climate policy
  • European policy and the German Energiewende
  • Wrap up and final exam

Seminar: New Developments in Energy Markets (SS23)

Energy Systems (SS23)