Fields of activity
Martin Rätz deals with demand-driven ventilation for health centers as part of the "dECOnhealth" project. He uses the simulation software "Modelica" to model the ventilation systems installed in hospitals. He develops various control strategies and assesses them by simulations in Modelica. The main aim is to reduce energy consumption and costs while at the same time complying with increased safety and hygiene requirements.
Martin Rätz studied mechanical engineering at the RWTH Aachen University, specializing in energy technology. Through his master thesis he gained experience in machine learning within the context of building energy systems engineering. During his studies, he worked 10 months as a student and 3 months as a scientific assistant at the Institute of Energy Efficient Buildings and Indoor Climate. His work focused on programming with Python in the areas of "Energy flexibility of buildings" and "Energetic simulation and evaluation of shopping centres". He completed his specialized internship at RWE AG in Frechen. At the beginning of 2019, he took up his position as a research assistant at the Institute of Energy Efficient Buildings and Indoor Climate.
|Analyzing the Energy-Saving Potential of Demand-Controlled Ventilation in Hospitals via Dynamic Building Simulations|
Contribution to a book, Contribution to a conference proceedings (2020)
|Automated data-driven modeling of building energy systems via machine learning algorithms|
Journal Article (2019)
|Rätz, Martin (Corresponding author)|
Javadi, Amir Pasha