HVAC System Control Solutions Based on Modern IT Technologies: A Review Article

Anatolijs Borodinecs (), Jurgis Zemitis and Arturs Palcikovskis
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Anatolijs Borodinecs: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, Latvia
Jurgis Zemitis: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, Latvia
Arturs Palcikovskis: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6 A, LV-1048 Riga, Latvia

Energies, 2022, vol. 15, issue 18, 1-22

Abstract: 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.

Keywords: HVAC; demand control ventilation; human detection; 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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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