6 papers
Modelling the Correlation Structure of Uncertain Input Parameters for Energy System Optimization
Klara Maggauer, Yannick Werner, Stefan Strömer +1
Statistical dependence among uncertain input parameters in stochastic energy system optimization models is often ignored, even though this can substantially bias outcomes. To addre…
Temperature-Aware Heat Pump Modeling for Large-Scale Energy System Optimization
Simon Malacek, Sonja Wogrin, Yannick Werner
Heat pumps are expected to dominate the heating sector, substantially increasing peak electricity demand. At the same time, building thermal inertia enables operational strategies,…
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
Benjamin Stöckl, Marco Anarmo, Sonja Wogrin +1
Energy system optimization models are indispensable for planning the European energy transition. Yet their applicability is constrained by the fundamental trade-off between spatial…
NPAP: Network Partitioning and Aggregation Package for Python
Marco Anarmo, Benjamin Stöckl, Yannick Werner +1
NPAP (Network Partitioning and Aggregation Package) is an open-source Python library for reducing the spatial complexity of network graphs. Built on NetworkX, it provides an access…
Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
Benjamin Stöckl, Yannick Werner, Sonja Wogrin
The vast spatial dimension of modern interconnected electricity grids challenges the tractability of the DC optimal power flow problem. Grid aggregation methods try to overcome thi…
Generating Building-Level Heat Demand Time Series by Combining Occupancy Simulations and Thermal Modeling
Simon Malacek, José Portela, Yannick Marcus Werner +1
Despite various efforts, decarbonizing the heating sector remains a significant challenge. To tackle it by smart planning, the availability of highly resolved heating demand data i…