Aufgabenbeschreibung What you will do: Literature research on the modelling of certain technologies and the possibilities of implementing these approaches in a MILP (Mixed Integer Linear Programming)-framework such as Heatopia. Implementation and testing of these energy models. Conduct case and parameter studies to assess the economic performance of certain technologies in district heating systems using Heatopia. Enhancement of result data export and visualization. Erwartete Qualifikationen What you bring to the table Being a Master student holding a bachelor’s degree in the field of Energy Engineering or Physics. Experience with energy systems modelling. Programming skills in Python or in a comparable object-oriented, script-based programming language. Ability to work independently and remotely with a high degree of self-motivation. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Experience with version control systems (e.g., Git) would be desirable. Good German and English skills.

Bei unserer Arbeit wenden wir nicht nur ein breites Spektrum fortgeschrittener wissenschaftlicher Methoden und Modelle auf Basis unser umfangreichen experimentellen Labor- und Testinfrastruktur an, sondern entwickeln diese auch unter Nutzung der Erkenntnisse aus den durchgeführten Forschungsprojekten kontinuierlich weiter. Schwerpunktthemen sind Wasserstoff, Energieinfrastrukturen und Sektorenkopplung, Wärmebergbau und Speicherung, Bohrlochtechnologien, Georessourcen und die Entwicklung der dafür benötigen Technologiebausteine, Energietechnik sowie CO2-Abscheidung. Student Assistant in the Field of District Heating System Optimization and Modelling The success of the energy transition will be highly influenced by the success of the heating sector transition. Thus, at the Fraunhofer IEG we developed the software Heatopia, a techno-economic optimization tool for district heating systems, which determines the optimal grid design and the size and operating times of all energy transformers and storages in the system. It enables the design of new district heating systems as well as the transformation of existing networks. We are looking for students (internship, master’s thesis or student assistant) with an energy systems modelling background to support us in further developing Heatopia (written in Python) as well as conducting case studies with the software. The position of student research assistant is based at our site in Cottbus.