Call for applications for Student Employee

Due to the fluctuating renewable feed-in, technical challenges arise
with regard to the storage of energy. However, an equally promising
approach is the adaptation of load profiles to the available regenerative
feed-in. In the energy-intensive brewing industry in particular,
load flexibility can be used to optimize the use of regenerative
feed-in and thus save CO2 on the one hand, but also gain market
advantages on the other.
We are looking for a student for a bachelor's or master's thesis who
will model the brewing process as an energy process and thus determine
the load flexibility potential. A technical understanding of
the brewing process and the measured load profiles as well as programming
skills in Python are required, which can be extended in
the course of the project.

Focus of work:
• Preparation of measured load profiles, outlier testing,
graphical representation
• Modelling oft he brewing process with ist boundary conditions
to determine the flexibilization options
• Measurement uncertainty considerations of the results and
reference to incoming uncertainties/model uncertainties

Your Profile:
• Interest in the optimal use of renewable feed-in
• (Good) Python programming skills
• Experience in modeling technical processes