Claude Klöckl

is a mathematician and physicist. His research interest range from quantum physics over information theory to optimization theory. Within the scope of reFUEL he is especially interested in the question how to tackle the tremendous problem size of state-of-the-art high resolution energy market models. From a technical perspective, he is especially interested in the application of linear programming, convex programming and data aggregation methods.

Katharina Gruber

is a project assistant and doctoral student in the reFUEL project. Her previous research focused on the simulation of wind power in Brazil as well as in Germany and the Czech Republic. With interest awoken for renewable energy and its integration into the power system, she now aspires to apply the meanwhile acquired knowledge to larger spatial and thematic areas.

Luis Ramirez Camargo

is leading the Geoinformatics Research Group at the Institute for Applied Informatics, Technische Hochschule Deggendorf in Germany. His research areas include integrated spatial and energy planning, energy meteorology, renewable energies, spatiotemporal modelling and geographic information systems. He is interested in the global scalability of high resolution spatiotemporal models for renewable energies and solar fuels development. Luis will join the team in 2019.

Michael Klingler

is a geographer investigating society-nature relations. His research scope covers rural geography, land-use change, political ecology and visual geographies. For reFUEL he follows up his long-standing research activities in Brazil, focusing on social-ecological transformations of rural areas. Qualitative research, especially ethnographic studies, critical geography and social network analysis, will be introduced to question the impact of renewables on various scales. Michael will join the team in 2019.

Patricia Galves Derolle Huber

has a master in International Relations from Fundação Getúlio Vargas (FGV/SP) in Brazil, with vast experience in the governmental sector. For reFUEL, she is responsible for qualitative research with a focus on discursive approaches to study the impacts of renewable energy expansion in the Brazilian Northeast.

Olga Turkovska

joined the reFUEL team in November 2018 as a Post-Doc. Her previous research at IIASA focused on modeling land-use policies and quantifying mitigation potentials in land-use. Her main goal for the reFUEL project is to build a bridge between land-use and energy systems through integrating land-use into our renewable energy model.

Sebastian Wehrle

is a doctoral student and researcher in the reFUEL project, where he researches the economics of electricity systems under climate change. Previously, he gathered over a decade of experience in the energy industry serving as lead economist at an international energy consultancy, strategist at Austria’s largest energy service company and strategic modelling lead at Vienna’s grid operator. He holds an honors degree in economics from the University of Vienna.

Research Associates

Felix Nitsch

is a Research associate at the Institute of Networked Energy Systems at the German Aerospace Center (DLR) in Stuttgart working in the field of energy systems analysis. He is currently involved in the development and application of the agent-based simulation model AMIRIS which allows an assessment of the market integration of renewable energies.

Mathias Kirchner

is senior scientist at the Center for Global Change and Sustainability, BOKU University in Vienna where he leads the Foresight research group. His current research focuses on sustainable transformation pathways. He enjoys working in interdisciplinary research and modelling teams to investigate sustainability issues ranging from climate change and land use (applying integrated modelling frameworks) to equity effects of green tax reforms (applying macroeconomic models).

Thomas Bröthaler

is an intern in the reFUEL project and a master student at the University of Natural Resources and Life Sciences, Vienna. His main research interest lies in applying data science to problems in the renewable energy sector. He is currently involved in applying machine learning algorithms for wind turbine detection based on satellite data.