Jobangebot connecticum Job-1775506

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

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Info zum Arbeitgeber

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Wissenschaft & Forschung, Luft- und Raumfahrt, Energie, Verkehr, Sicherheit, Digitalisierung

Firmensprache

Deutsch, Englisch

Gründungsjahr

1907

Mitarbeiter

10.001 - 50.000

Branche

Energie, Forschung

Kontakt

Bei Fragen zu Stellenangeboten aus unserem Jobportal DLR.de/jobs wenden Sie sich bitte an die in den Stellenanzeigen genannten Ansprechpartnerinnen und Ansprechpartner.

Homepage
DLR.de

Karriere-Website
DLR.de/jobs

Course paper/final thesis, Student placement, Internship
Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!
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
What to expect:
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.
What we expect from you:
  • 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.
What we offer:
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.
Further information:
Starting date: 01.03.2025
Duration of contract: up to 1 year
Type of employment: Part-time
Remuneration: According to the German 5 TVöD
Vacancy-ID: 98293
Contact:
Babak Ravanbach Institut für Vernetzte Energiesysteme
Tel.: 0441 999 06 433

Info zum Arbeitgeber

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Wissenschaft & Forschung, Luft- und Raumfahrt, Energie, Verkehr, Sicherheit, Digitalisierung

Firmensprache

Deutsch, Englisch

Gründungsjahr

1907

Mitarbeiter

10.001 - 50.000

Branche

Energie, Forschung

Kontakt

Bei Fragen zu Stellenangeboten aus unserem Jobportal DLR.de/jobs wenden Sie sich bitte an die in den Stellenanzeigen genannten Ansprechpartnerinnen und Ansprechpartner.

Homepage
DLR.de

Karriere-Website
DLR.de/jobs

Info zur Bewerbung
Jobtitel:

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

Jobkennzeichen:
connecticum Job-1775506
Bereiche:
Energietechnik, Informatik, Kommunikationstechnik, Mathematik
Ingenieurwissenschaften: Energietechnik
Informatik: Informatik, Informationstechnik
Naturwissenschaften: Mathematik
Einsatzort: 26 Oldenburg; Niedersachsen
Jobdetails Bewerbungsformular

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