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Peak Energy is a Swedish energy-tech startup building the tariff intelligence infrastructure for the electricity system. We collect and structure electricity grid tariffs across Europe and make them machine-readable so that energy systems such as EV charging, buildings, and batteries can optimize their operation based on real grid pricing.

For this master thesis, we are looking for a technically oriented student interested in developing models for battery sizing and optimization in EV fast-charging sites. The project will focus on how batteries can reduce grid costs and improve site economics by responding to incentives such as capacity tariffs, time-of-use pricing, and dynamic electricity prices. The work will involve building simulation or optimization models that evaluate different battery sizes and control strategies for charging sites under varying tariff structures and usage patterns.

The thesis is suitable for a student from KTH or a similar university with a background in electrical engineering, energy systems, computer science, or applied mathematics, and an interest in energy optimization and software development.

The project provides the opportunity to work with real tariff data and contribute to practical solutions for optimizing EV charging infrastructure in the transition to a more electrified energy system.

Please send a short introduction and CV to michal@peakenergy.se.

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