[BA] Context-Oriented Modeling and Simulation of the Renewable Energy Facilities of the Smart Mobility Lab

Simulations can support the optimal planning and operation of renewable energy systems. Such a system is planned to be installed at the Smart Mobility Lab (SML) which under construction close to the city of Hoyerswerda. While rough estimations of the planned systems energy output exist, a more detailed simulation is not build. Such a simulation could be transformed to a digital twin and with that, be a central part of the energy-related research at the SML. The energy system of the SML is planned to consist of photovoltaic (PV) modules, an electrolyzer, hydrogen tanks, fuel cells, and batteries. Therefore, a simulation needs to take these subsystems into account. Acausal equational modeling is usually done in the equational object-oriented language Modelica, a Europan standard (www.modelica.org). For the energy model of SML, the components of the energy grid of SML need to be modeled in equations in Modelica. Another modern way of simulating complex technical systems is based on the programming language Julia, especially its library ModelingToolkit.jl. The language enables component-wise, acausal equation-based modeling in a flexible manner, because equational problems can be written together with imperative programs. This flexibility is highly relevant for the performance and accuracy of the simulation. The aim of this thesis is modeling the energy system of the SML with a focus on the PV system as well as the hydrogen-related parts, in Julia/MTK.jl. The system should be modeled for different contexts,

Betreuer: Christian Gutsche