Masters Thesis "Research Assistant Multi-objective optimization of decentralized energy systems"

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 800 employees work with an annual research budget of 3.0 billion euros.

The Fraunhofer Institute for Solar Energy Systems ISE in Freiburg is the largest solar research institute in Europe. Our approximately 1400employees work towards a sustainable, economical, safe and socially just energy supply system based on renewable energies. We contribute tothis with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding research results,successful industrial projects, company spin-offs and global cooperation, we are shaping the sustainable transformation of the energy system.

Our team "Data-based Management of Energy Systems" deals with the economic, technical and regulatory requirements of decentralizedenergy systems and decentralized supply concepts (e.g. neighborhoods, energy communities or energy sharing).

We are looking for a student who is interested in the multi-criteria optimization of decentralized energy systems and who will write his/her master's thesis on this topic.

You will familiarize yourself with the field of home energy management systems, with a focus on the integration of market-oriented and grid-supporting flexibility use. The increasing market penetration of electric vehicles has increased the possibility of critical grid conditions that can be mitigated by utilizing the flexibility of EV charging processes. However, it is crucial to explore how this flexibility can be used not only for grid-serving purposes but also for market-based procurement optimization to accommodate the objectives of different stakeholders.

What you will do

You will design and implement control algorithms to optimize local energy systems.
You will investigate and implement algorithms for multi-objective optimization.
You will simulate the actual effects of implementing flexibility utilization strategies on the grid.
You compare the profitability of the proposed strategies for different stakeholders.
You will support the preparation of scientific reports and presentations.
You will write your Master's thesis on this topic.

What you bring to the table

You are studying engineering, computer science, renewable energies or sustainability or a similar subject.
You formulate your ideas in a comprehensible way and listen carefully to others.
You enjoy immersing yourself in the world of algorithm development, knowledge of Python is required.
You have a basic understanding of linear optimization.
Knowledge of multi-objective optimization and grid simulation is an advantage.
You are a team player, proactive and able to work in an interdisciplinary environment.

What you can expect

You will work at one of the most popular employers on an equal level with the best.
Open-minded colleagues are happy to welcome new talent into their team.
We offer flexible working time models and provide you with the opportunity to work from home sometimes.
We also foster a cooperative working atmosphere and open communication.
We value equal opportunities and make room for diversity.
You can take part in attractive sports and health programs and after-work activities.

Remuneration depends on the level of your degree.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnicand social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event ofequal suitability.

Interested? Apply online now. We look forward to getting to know you!

If you have any questions about this position, please contact:

Paula Oberfeier

E-Mail: paula.oberfeier@ise.fraunhofer.de

Fraunhofer Institute for Solar Energy Systems ISE

www.ise.fraunhofer.de

Requisition Number: 73161

Job Segment: Sustainability, Computer Science, Research Assistant, Supply, Energy, Research, Technology, Operations

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