Challenge
Rejlers wanted its DI Energi audience to experience why Sweden's net-zero transition is a coordination problem, rather than hear another presentation about it.
A four-stakeholder simulation that replaced a conventional conference presentation with coordinated decision-making under uncertainty.
Rejlers · Simulation project
Simulation designer and sole backend developer
2022
reused at industry conferences and events
Rejlers wanted its DI Energi audience to experience why Sweden's net-zero transition is a coordination problem, rather than hear another presentation about it.
I designed and sole-built the Python economic engine, including stakeholder incentives, scoring, transition mechanics and information-visibility rules.
First deployed at DI Energi, the simulation proved useful enough to be reused at other industry conferences and events for more than four years.
Modeled four stakeholder groups with distinct incentives, decision spaces and private information.
Structured six turns from 2020 to 2045, with cross-actor dependencies that made isolated optimization insufficient.
Grounded the economic engine in Swedish energy data while simplifying selectively to strengthen the learning experience.