The efficient control of low-temperature heating systems, such as floor or wall heating, poses a central challenge, particularly when multiple heating circuits with different target temperatures are involved. Since all circuits are supplied by a single boiler, the flow temperature must be optimally coordinated to balance energy consumption and thermal comfort. The InRegValve project focuses on optimizing a novel, rotatory heating circuit valve that allows finer control compared to conventional on/off valves. The aim is to develop a mathematical optimization model that determines flow temperature and valve positions based on temperature and weather data. Using suitable algorithms from mathematical optimization or machine learning, different solution strategies will be implemented and evaluated to identify the most effective approach.
Possible topics and research areas:
- Modeling of an energy-efficient heating system with variable target temperatures.
- Development and comparison of optimization or Machine Learning-based methods.
- Simulation and benchmarking of different optimization strategies.