Quantification of Vehicle to Grid (V2G) flexibility and optimization of charging station locations

Steigen Sie ein in die faszinierende Welt des Deutschen Zentrums für Luft- und Raumfahrt (DLR), um mit Forschung und Innovation die Zukunft mitzugestalten! Mit dem Know-how und der Neugier unserer 11.000 Mitarbeitenden aus 100 Nationen sowie unserer einzigartigen Infrastruktur, bieten wir ein spannendes und inspirierendes Arbeitsumfeld. Gemeinsam entwickeln wir nachhaltige Technologien und tragen so zur Lösung globaler Herausforderungen bei. Möchten Sie diese große Zukunftsaufgabe mit uns zusammen angehen? Dann ist Ihr Platz bei uns!

For our Institute for Networked Energy Systems in Oldenburg we are looking for a Students Energy technology, Computer science or similar (f/m/x), Quantification of Vehicle to Grid (V2G) flexibility and optimization of charging station locations

Das erwartet Sie:

Would you like to work in an interactive, cooperative and international team? You are interested in the new and further development of renewable energy technologies, in particular with the development of suitable tools, models and technologies for Vehicle to X (V2X) interfaces.

Then the Institute for Networked Energy Systems is an attractive employer for you. Our primary research goal is the development of concepts and technologies that ensure a stable energy system based on weather-dependent and decentralised power generation from renewable energies.

At its locations in Oldenburg and Stuttgart, the Institute for Networked Energy Systems employs around 190 people and deals with systems engineering and systems analysis issues relating to the intelligent and efficient coupling of the electricity, heating, industry and transport sectors.

The team in the Energy Systems Technology department focuses on the interaction between system-relevant energy technologies within decentralised networked structures. In the distribution grid in particular, we are striving for new architectures for the energy systems of the future that ensure robust grid operation even under the influence of fluctuating feeders.

The primary project goal of DriVe2X is to develop suitable tools, models and technologies for V2X interfaces in order to accelerate their market introduction - also by means of suitable political instruments. In this way, V2X flexibility markets should be driven forward and charging technologies should become smarter, more efficient, more cost-effective and more compact.

As part of the project:

• Perform fundamental literature research on V2G Flexibility and charging station location optimization, followed by acquiring some knowledge on agent-based approaches related to the V2G topic
• Define the scope and scenarios for the city as the main environment containing the e-autos and charging stations as the main agents.
• Create an integrated agent-based model (ABM) for the quantification of V2G flexibility and optimization of location of charging stations to maximize the Flexibility usage from the grid side for a generic city.
• Work in a young dynamic team and present your results to them in the form of report on the project.

Das erwarten wir von Ihnen:

• You are currently in a master's degree programme in the field of energy technology, information technology, computer science or a similar course of study.
• In addition, you have a good understanding of electromobility technology and have basic knowledge of planning charging infrastructures.
• You have knowledge and initial experience in programming for the visualisation and analysis of data in the high-level language Pyton.
• You are already familiar with Python code/packages for energy modeling.
• Ideally, you already have experience in developing Agent-based Models to solve complex energy related problems.

Unser Angebot:

Das DLR steht für Vielfalt, Wertschätzung und Gleichstellung aller Menschen. Wir fördern eigenverantwortliches Arbeiten und die individuelle Weiterentwicklung unserer Mitarbeitenden im persönlichen und beruflichen Umfeld. Dafür stehen Ihnen unsere zahlreichen Fort- und Weiterbildungsmöglichkeiten zur Verfügung. Chancengerechtigkeit ist uns ein besonderes Anliegen, wir möchten daher insbesondere den Anteil von Frauen in der Wissenschaft und Führung erhöhen. Bewerbungen schwerbehinderter Menschen bevorzugen wir bei fachlicher Eignung.

Weitere Angaben:

• Eintrittsdatum: 01.03.2025
• Dauer: up to 1 year
• Vergütung: Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TVöD.
• Kennziffer: 98293