معرفی
Dr. Janina Zittel serves as Deputy Head of the Applied Algorithmic Intelligence Methods department at the Zuse Institute Berlin (ZIB), where she leads research in mathematical optimization for energy systems. Her work bridges theoretical algorithm development with practical applications in energy transition challenges.
Her research focuses on energy system optimization with particular expertise in gas network modeling, hydrogen infrastructure integration, and multi-energy systems. She develops advanced mathematical programming techniques including mixed-integer optimization, robust optimization, and forecasting methods specifically tailored for energy applications. Recent work emphasizes computational efficiency in large-scale optimization problems and integration of machine learning techniques for improved forecasting accuracy.
Dr. Zittel's recent publications demonstrate a clear trend toward integrated multi-energy modeling with increasing focus on decarbonization pathways, hydrogen transition scenarios, and district heating optimization. Her work consistently combines mathematical rigor with practical implementation for real-world energy networks, particularly focusing on European infrastructure.
She leads multiple significant projects including:
- Urban-rural energy: Developing open and transferable methods for robust regional energy computation and reprocessing
- UNSEEN: Advancing energy scenario development and analysis methodologies
- MOTIF: Addressing complex requirements for district heating system expansion planning
- Multi-Energy Models for European Energy System Planning: Supporting EU carbon reduction targets through integrated modeling
Within ZIB, she contributes to the Prescriptive Systems and Sustainable Energy Planning research groups, focusing on developing decision-support tools for energy system operators and policymakers.
