ModSim at the DACH+ Energy Informatics Conference 2026 in Linz

In his presentation, Daniel Bayer introduced a multi-service digital twin architecture designed for urban energy systems. His work tackles the challenge of unused residential battery storage capacity during winter by coupling a real-time, short-horizon control service with a long-horizon city-scale simulation. Evaluated on a 2045 net-zero scenario for a German city, the proposed framework enables decentralized battery storage systems to absorb city-level renewable surpluses—unlocking up to 1.98 GWh of local clean energy annually and decreasing dependence on upper-level grid electricity imports by around 6%.

Paul Benz presented an innovative, lightweight rule-based model capturing price-sensitive charging decisions of electric vehicle drivers in large-scale agent-based simulations. While traditional charging optimization methods are often computationally prohibitive for large metropolitan areas, Paul's approach achieves high interpretability and slashes simulation runtimes by 97% compared to full optimization. Validated against real-world metropolitan commuting patterns, the method yields charging costs within 4% to 8% of an optimal full-foresight benchmark, making it an ideal tool for scalable transport electrification and infrastructure planning.