Simulation and Modeling
In the research field of simulation and modeling, multiscale models and simulation environments are developed to realistically represent interconnected energy systems and quantitatively evaluate policy options. Building on this, AI-supported optimization methods for intelligent planning are integrated to derive directly implementable and robust action strategies from simulation results.
The focus is on sector-coupled energy systems (electricity, heat, mobility) as well as the integration of technical grid infrastructure with economic and regulatory frameworks. This creates a solid basis for decision-making regarding planning, operation, and transformation processes.
- Municipal energy and heating planning (scenarios, target pathways, packages of measures)
- Assessment of expansion pathways for renewables, storage, and sector coupling
- Grid and flexibility planning (congestion analysis, utilization, peak loads)
- Analysis of policy instruments (CO2 impact, costs, security of supply)
- Transparent communication of complex interrelationships to stakeholders and the public
- Intelligent deployment and investment planning using optimization and AI methods
- Multi-sector energy system modeling with spatial resolution (municipality/county)
- Hybrid simulation approaches: discrete event simulation, agent-based models, system dynamics
- Scenario development, sensitivity and uncertainty analyses
- Data integration and calibration (load, weather, technology, and grid data)
- Results presentation: key metrics, visualizations, export formats for planning and reporting
- Optimization techniques and AI methods for planning, operations management, and decision support
- Computing resources (HPC/cloud) for large-scale simulations and data analysis
- Custom modeling and simulation software
- Data and GIS tools for mapping regional structures and infrastructure
- Interfaces to co-simulation and network calculation tools, as well as dashboarding and reporting
- Scenario and feasibility studies (renewables, storage, heat pumps, electric mobility)
- Development of digital twins and decision support (web tools, dashboards)
- Data integration and quality assurance (measurement, operational, and infrastructure data)
- Evaluation of investment options and operational strategies (costs, CO2, robustness)
- Workshops/training on modeling, simulation, and data-driven analysis