HVAC System Control Solutions Based on Modern IT Technologies: A Review Article
As energy consumption for building engineering systems is a major part of the total energy spent, it is necessary to reduce it. This leads to the need for the development of new solutions for the control of heating, ventilation, and conditioning (HVAC) systems that are responsive to humans and their...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/18/6726 |
| _version_ | 1797488866997829632 |
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| author | Anatolijs Borodinecs Jurgis Zemitis Arturs Palcikovskis |
| author_facet | Anatolijs Borodinecs Jurgis Zemitis Arturs Palcikovskis |
| author_sort | Anatolijs Borodinecs |
| collection | DOAJ |
| description | As energy consumption for building engineering systems is a major part of the total energy spent, it is necessary to reduce it. This leads to the need for the development of new solutions for the control of heating, ventilation, and conditioning (HVAC) systems that are responsive to humans and their demands. In this review article, the existing research and technology advancements of the modern technologies of computer vision and neural networks for application in HVAC control systems are studied. Objectives such as human detection and location, human activity monitoring, skin temperature detection, and clothing level detection systems are important for the operation of precise, high-tech HVAC systems. This article tries to compile the latest achievements and principal solutions on how this information is acquired. Moreover, it how parameters such as indoor air quality (IAQ), variable air volume ventilation, computer vision, metabolic rate, and human clothing isolation can affect final energy consumption is studied. The research studies discussed in this review article have been tested in real application scenarios and prove the benefits of using a particular technology in ventilation systems. As a result, the modernized control systems have shown advantages over the currently applied typical non-automated systems by providing higher IAQ and reducing unnecessary energy consumption. |
| first_indexed | 2024-03-10T00:08:24Z |
| format | Article |
| id | doaj.art-b1a57cff61204a67893f4444f11ed7d3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T00:08:24Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b1a57cff61204a67893f4444f11ed7d32023-11-23T16:04:45ZengMDPI AGEnergies1996-10732022-09-011518672610.3390/en15186726HVAC System Control Solutions Based on Modern IT Technologies: A Review ArticleAnatolijs Borodinecs0Jurgis Zemitis1Arturs Palcikovskis2Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, LatviaDepartment of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, LatviaDepartment of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, LatviaAs energy consumption for building engineering systems is a major part of the total energy spent, it is necessary to reduce it. This leads to the need for the development of new solutions for the control of heating, ventilation, and conditioning (HVAC) systems that are responsive to humans and their demands. In this review article, the existing research and technology advancements of the modern technologies of computer vision and neural networks for application in HVAC control systems are studied. Objectives such as human detection and location, human activity monitoring, skin temperature detection, and clothing level detection systems are important for the operation of precise, high-tech HVAC systems. This article tries to compile the latest achievements and principal solutions on how this information is acquired. Moreover, it how parameters such as indoor air quality (IAQ), variable air volume ventilation, computer vision, metabolic rate, and human clothing isolation can affect final energy consumption is studied. The research studies discussed in this review article have been tested in real application scenarios and prove the benefits of using a particular technology in ventilation systems. As a result, the modernized control systems have shown advantages over the currently applied typical non-automated systems by providing higher IAQ and reducing unnecessary energy consumption.https://www.mdpi.com/1996-1073/15/18/6726HVACdemand control ventilationhuman detectionsensors |
| spellingShingle | Anatolijs Borodinecs Jurgis Zemitis Arturs Palcikovskis HVAC System Control Solutions Based on Modern IT Technologies: A Review Article Energies HVAC demand control ventilation human detection sensors |
| title | HVAC System Control Solutions Based on Modern IT Technologies: A Review Article |
| title_full | HVAC System Control Solutions Based on Modern IT Technologies: A Review Article |
| title_fullStr | HVAC System Control Solutions Based on Modern IT Technologies: A Review Article |
| title_full_unstemmed | HVAC System Control Solutions Based on Modern IT Technologies: A Review Article |
| title_short | HVAC System Control Solutions Based on Modern IT Technologies: A Review Article |
| title_sort | hvac system control solutions based on modern it technologies a review article |
| topic | HVAC demand control ventilation human detection sensors |
| url | https://www.mdpi.com/1996-1073/15/18/6726 |
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