The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors
Michał Markiewicz,
Aleksander Skała,
Jakub Grela,
Szymon Janusz,
Tadeusz Stasiak,
Dominik Latoń,
Andrzej Bielecki,
Katarzyna Bańczyk
Affiliations
Michał Markiewicz
Faculty of Mathematics and Computer Science, Jagiellonian University, ul. prof. Stanisława Łojasiewicza 6, 30-348 Cracow, Poland
Aleksander Skała
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland
Jakub Grela
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland
Szymon Janusz
Atner Sp. z o.o., ul. Podole 60, 30-394 Cracow, Poland
Tadeusz Stasiak
Honeywell Sp. z o.o., ul. Domaniewska 39, 02-672 Warsaw, Poland
Dominik Latoń
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland
Andrzej Bielecki
Chair of Applied Computer Science, Faculty of Electrical Engineering, Automation, Computer Science and Biomedical Engineering, AGH University of Kraków, 30-059 Cracow, Poland
Katarzyna Bańczyk
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, Poland
The energy consumption of buildings is a significant contributor to overall energy consumption in developed countries. Therefore, there is great demand for intelligent buildings in which energy consumption is optimized. Online control is a crucial aspect of such optimization. The implementation of modern algorithms that take advantage of developments in information technology, artificial intelligence, machine learning, sensors, and the Internet of Things (IoT) is used in this context. In this paper, an architecture for testing central heating control algorithms as well as the control algorithms of the heating system of the building is presented. In particular, evaluation metrics, the method for seamless integration, and the mechanism for real-time performance monitoring and control are put forward. The proposed tools have been successfully tested in a residential building, and the conducted tests confirmed the efficiency of the proposed solution.
