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 () and Katarzyna Bańczyk
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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

Energies, 2023, vol. 16, issue 14, 1-15

Abstract: 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.

Keywords: central heating; HVAC; artificial intelligence; wireless temperature sensors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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