MSc Sustainable Energy Engineering — KTH Royal Institute of Technology, Stockholm
Graduated with a weighted average of 4.45/5.0 across 90 ECTS. Grade A in AI in Energy, Optimisation of Energy Networks, Energy Storage Technology, Modeling of Energy Systems, Large Scale Solar Power, and Energy Management.
Thesis (defended 2026): Sustainable Energy System Sizing for Oskarshamn Harbour — PV, BESS, and Shore Power Integration, in collaboration with Smålandshamnar AB and Oskarshamn Energi. Built a Pyomo MILP dispatch optimiser with rolling-horizon scheduling and a DEAP genetic algorithm for component sizing; multi-objective Pareto optimisation across NPV, emissions, and self-sufficiency; compared LFP, sodium-ion, and vanadium-redox-flow chemistries using PNNL-style decomposed CAPEX.