My research is in energy informatics, a broad field which is about smart, efficient energy systems and the transition to renewable energy. I have a background in optimisation and discrete mathematics.
I focus on mathematical modelling and optimisation of renewable energy systems. What mix of technologies is needed in energy systems with zero carbon emissions? How flexible are economically optimal solutions? How sensitive are the energy systems of the future to changes in technology, costs, politics and other factors?
A large share of solar and wind power leads to novel challenges in energy systems modelling, and requires a higher resolution in space and time. As a result, current models push the limits of our computing power. A central question in my research is how to get the best possible results with the computing power we have. Right now, I am investigating modelling individual components at different levels of detail.
Finally, I am excited about recent developments in open energy system models and open energy data. At the moment I am working with PyPSA, and I value cooperation over isolated experiments. This way we can build a solid and effective platform for relevant research.
- 2020 - 2024: PhD in energy informatics, UiT The Arctic University of Norway
- 2018 - 2020: Master's in mathematics, Universität Bonn, Germany
- 2014 - 2017: Bachelor's in mathematics, Simon Fraser University, Canada
- Spring 2021: tutor for INF-1101 - data structures and algorithms.
- Autumn 2021: tutor for INF-3210 - Green Computing.