The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors
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 m...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/14/5584 |
| _version_ | 1797589448417869824 |
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| author | Michał Markiewicz Aleksander Skała Jakub Grela Szymon Janusz Tadeusz Stasiak Dominik Latoń Andrzej Bielecki Katarzyna Bańczyk |
| author_facet | Michał Markiewicz Aleksander Skała Jakub Grela Szymon Janusz Tadeusz Stasiak Dominik Latoń Andrzej Bielecki Katarzyna Bańczyk |
| author_sort | Michał Markiewicz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T01:06:50Z |
| format | Article |
| id | doaj.art-79cdf29aca7745c689d2aaf33474efcf |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T01:06:50Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-79cdf29aca7745c689d2aaf33474efcf2023-11-18T19:12:37ZengMDPI AGEnergies1996-10732023-07-011614558410.3390/en16145584The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature SensorsMichał Markiewicz0Aleksander Skała1Jakub Grela2Szymon Janusz3Tadeusz Stasiak4Dominik Latoń5Andrzej Bielecki6Katarzyna Bańczyk7Faculty of Mathematics and Computer Science, Jagiellonian University, ul. prof. Stanisława Łojasiewicza 6, 30-348 Cracow, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, PolandAtner Sp. z o.o., ul. Podole 60, 30-394 Cracow, PolandHoneywell Sp. z o.o., ul. Domaniewska 39, 02-672 Warsaw, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, PolandChair of Applied Computer Science, Faculty of Electrical Engineering, Automation, Computer Science and Biomedical Engineering, AGH University of Kraków, 30-059 Cracow, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Kraków, al. Mickiewicza 30, 30-059 Cracow, PolandThe 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.https://www.mdpi.com/1996-1073/16/14/5584central heatingHVACartificial intelligencewireless temperature sensors |
| spellingShingle | Michał Markiewicz Aleksander Skała Jakub Grela Szymon Janusz Tadeusz Stasiak Dominik Latoń Andrzej Bielecki Katarzyna Bańczyk The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors Energies central heating HVAC artificial intelligence wireless temperature sensors |
| title | The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors |
| title_full | The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors |
| title_fullStr | The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors |
| title_full_unstemmed | The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors |
| title_short | The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors |
| title_sort | architecture for testing central heating control algorithms with feedback from wireless temperature sensors |
| topic | central heating HVAC artificial intelligence wireless temperature sensors |
| url | https://www.mdpi.com/1996-1073/16/14/5584 |
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