Energy Lab

Energy Lab

Bringing complex energy systems into the application through modeling

Energy Lab

When it comes to digitalization in the energy industry and the implementation of intelligent grids, software platforms and the corresponding applications play a crucial role. The growing complexity, such as the coupling of the various sectors (heat, electricity, water, and mobility), the integration of renewable energy sources or delivering CO2-neutral energy, places high demands on the software architectures and interfaces.

fortiss Energy Lab
Complex systems are represented in a simplified way on the basis of a model.

With this in mind, fortiss utilizes and expands the Energy Lab in research projects in order to represent various application scenarios and requirements. The applications illustrate, among other things, how different energy components such as battery storage, photovoltaic systems, sensors and control devices can be connected to one another using standardized interfaces.

To do that fortiss develops techniques and methods for designing and modeling cooperative, complex energy systems. Techniques for establishing interoperability also play a role here. Our scientists rely on artificial intelligence (AI) and machine learning (ML) in order to describe and take into account the physical interactions, system states and energy flows.


In the Energy Lab, various prototypes are evaluated using field tests in order to address real problems and challenges in the energy industry.


  • Prototypes
    Utilization of current prototypes
    • Energy Living Lab: software architecture concept for monitoring and controlling smart grid nodes
    • Smart Electro-Thermal Storage: modeling and optimization of complex systems – from a single energy control center to an entire district – through AI and ML
    • Smart Solar Box: for combining and integrating distributed energy resources
    • Energy Table: co-simulation for the development of control strategies, structures of virtual power plants and hardware-in-the-loop experiments as a foundation for planning
  • Customized solution
    Connection to local energy markets
    • In the Energy Lab, distributed energy resources for various buildings or their digital twins can either be traded via an energy market place or connected to a central instance, such as in a district scenario, for optimization
    • Transfer of data into models and analyses of different scenarios and system variations
  • Research
    Hardware-in-the-loop experiments
  • Consulting
    Analysis and evaluation of interactions and control mechanisms for cooperative systems utilizing AI-based controls
Dr. Markus Duchon

Your contact

Dr. Markus Duchon

+49 89 3603522 30