The Institute of Networked Energy Systems develops transformation strategies and technical solutions for the efficient coupling of the electricity, heating, transport and industrial sectors. In practice-orientated projects, our research teams develop a holistic understanding of systems and effective system solutions to make the energy transition a success in business and society. The Institute of Networked Energy Systems employs around 190 people at its Oldenburg and Stuttgart sites, working on systems engineering and systems analysis issues relating to the intelligent and efficient coupling of the electricity, heating, industry and transport sectors.
Would you like to work in an interactive, co-operative and international team? Are you interested in the new and further development of renewable energy technologies, in particular in extending the utilisation time of battery storage systems? If so, the Institute of 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.
What to expect
The Energy System Technology department focuses on the interaction between system-relevant energy technologies within decentralised networked structures. In the distribution grid in particular we are striving to develop new architectures for the energy systems of the future, which ensure robust grid operation even under the influence of fluctuating feed-in sources.
The Energy Management research group develops methods and strategies to optimise the operation and design of future energy systems hand in hand.
Within the MOSENAS research project, traction batteries and infrastructure for recharging battery trains are being optimised. This also includes an investigation into the secondary use of traction batteries (second-life batteries) as stationary energy buffers for charging stations.
Your tasks
- Determination of equations for calendar ageing taking into account a linear optimisation framework.
- Evaluation of the accuracy of the calendar ageing model.
- Application of the model in a case study.
Your profile
- You study in the field of of electrical engineering, energy technology, physics or similar.
- Very good programming skills in Python are part of your skills
- Some experience in modelling energy systems you have already been able to collect
- Good communication skills in German and English and enjoy working in a team are a matter of course for you.
- Your ability to research and analyse literature independently as well as your enthusiasm and thirst for knowledge round off your profile.
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 400) please contact:
Dr. Peter Klement
Tel.: 0441 999 06 226