The Fraunhofer IEE in Kassel conducts research in the fields of energy economics and energy systems technology with a focus on energy informatics, energy meteorology and geoinformation systems, energy economics and system design, energy process engineering and storage, grid planning and grid operation, grid stability and power converter technology as well as thermal energy technology. Around 450 scientists, employees and students develop solutions for the energy transition and generate around 38 million euros in revenue per year.
Wind energy is an important pillar of today's and tomorrow's energy system. For this reason, precise knowledge of potential energy generation is essential. Long-term wind speed time series from weather models (so-called reanalyses) are generally used for this purpose. Due to limitations in the simulation, these can have systematic or temporally and regionally varying errors, which can lead to considerable errors in the quality of the feed-in simulation. The aim of the work is to simulate the expected wind feed-in on the basis of Reanaylse models and to evaluate it by comparing it with actual observed feed-in time series.
In this context, we offer a master's thesis on "Modeling wind power feed-in in Germany: Evaluation of the wind database for the yield simulation of wind turbines in Germany".
What you will do
- familiarization with modeling the energy generation of wind turbines
- familiarization with the use of reanalysis data for applications in the energy system
- use of an existing model for the simulation of wind feed-in
- further development of the model for simulating wind feed-in
- research and analysis of various data sets of measured wind energy generation in Germany
- comparison and evaluation of the modeled wind feed-in based on the actual observed feed-in
- data engineering with a focus on energy system analysis
What you bring to the table
- ongoing studies in computer science, mathematics, physics, engineering or similar
- good knowledge of Python
- previous knowledge in the field of wind energy or the energy system
- previous knowledge of geodata processing and databases is an advantage
- previous knowledge in the field of meteorology is an advantage
- experience in software development, especially Git/Gitlab is an advantage
- interest in renewable energies and the energy transition
What you can expect
- supported by targeted and individual supervision
- an application-oriented Master's thesis in a research environment
- innovative development environment
- insight into the working methods of a research institute
- possibility to work remotely
The monthly working hours are between 40 and 80 hours. The position is limited to 6 months. Compensation is based on to the general works agreement for employing assistant staff.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
If you have questions about this position, you are welcome to contact:
David Geiger
Telefon: +49-(0)561-7294-442
Fraunhofer Institute for Energy Economics and Energy System Technology IEE
www.iee.fraunhofer.de
Requisition Number: 72193 Application Deadline: 03/31/2024