Sensors, Vol. 24, Pages 886: Integrated Simulation and Calibration Framework for Heating System Optimization

Sensors, Vol. 24, Pages 886: Integrated Simulation and Calibration Framework for Heating System Optimization Sensors doi: 10.3390/s24030886 Authors: Kirill Djebko Daniel Weidner Marcel Waleska Timo Krey Sven Rausch Dietmar Seipel Frank Puppe In a time where sustainability and CO2 efficiency are of ever-increasing importance, heating systems deserve special considerations. Despite well-functioning hardware, inefficiencies may arise when controller parameters are not well chosen. While monitoring systems could help to identify such issues, they lack improvement suggestions. One possible solution would be the use of digital twins; however, critical values such as the water consumption of the residents can often not be acquired for accurate models. To address this issue, coarse models can be employed to generate quantitative predictions, which can then be interpreted qualitatively to assess “better or worse” system behavior. In this paper, we present a simulation and calibration framework as well as a preprocessing module. These components can be run locally or deployed as containerized microservices and are easy to interface with existing data acquisition infrastructure. We evaluate the two main operating modes, namely automatic model calibration, using measured data, and the optimization of controller parameters. Our results show that using a coarse model of a real heating system and data augmentation through preprocessing, it is ...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research