Clara Büttner

Clara completed her bachelor's degree in Renewable Energy Engineering and her master's degree in Systems Engineering at Flensburg University of Applied Sciences. She has been working in the field of power grid modeling since 2016, initially starting as a student assistant during her studies.

Since April 2020, Clara has continued this work as a research associate at the universities in Flensburg. As the project lead for the joint project reGon, she facilitates the transfer of models and tools developed over many years from research into practical application.

Together with Katharina Esterl, Clara leads the team Netzmodellierung (NeMo), a joint working group of Flensburg University of Applied Sciences and the Europa-Universität Flensburg. Her doctoral research focuses on the optimal deployment of flexibilities across different grid levels.

• Büttner, C. et al. (2025): Challenges of top–down flexibility deployment for grid expansion across all voltage levels. Environmental Research: Energy, 2, 045017. https://doi.org/10.1088/2753-3751/ae2686
• Büttner, C./ Müller, U. (2024): The impact of redispatch on grid and storage expansion planning in the German energy system. ACM SIGENERGY Energy Informatics Review, Volume 4, Issue 4. https://energy.acm.org/eir/the-impact-of-redispatch-on-grid-and-storage-expansion-planning-in-the-german-energy-system/
• Flensburg University of Applied Sciences/ University of Flensburg, Reiner Lemoine Institute/ Otto-von-Guericke University Magdeburg/ German Aerospace Center Institute of Networked Energy Systems (2024): Ein offenes netzebenen- und sektorenübergreifendes Planungsinstrument zur Bestimmung des optimalen Einsatzes und Ausbaus von Flexibilitätsoptionen in Deutschland - Projektabschlussbericht. Zenodo. https://doi.org/10.5281/zenodo.10677901
• Büttner, C./ Esterl, K./ Cußmann, I./ Epia Realpe, C. A./ Amme, J./ Nadal, A. (2024): Influence of flexibility options on the German transmission grid — A sector-coupled mid-term scenario. Renewable and Sustainable Energy Transition, 5, 100082. https://doi.org/10.1016/j.rset.2024.100082
• Büttner, C./ Amme, J./ Endres, J./ Malla, A./ Schachler, B./ Cußmann, I. (2022): Open modeling of electricity and heat demand curves for all residential buildings in Germany. Energy Informatics, 5(1), 21. doi:10.1186/s42162-022-00201-y
• Müller et al. (2019): "open_eGo - Netzebenenübergreifendes Planungsinstrument - zur Bestimmung des optimalen Netz- und Speicherausbaus in Deutschland - integriert in einer OpenEnergyPlatform - Abschlussbericht". ISSN: 2196-7164. https://www.uni-flensburg.de/fileadmin/content/abteilungen/industrial/dokumente/downloads/veroeffentlichungen/forschungsergebnisse/20190426endbericht-openego-fkz0325881-final.pdf?sword_list%5B0%5D=katharina&sword_list%5B1%5D=esterl&no_cache=1