REVIEW OF HEATING VENTILATION, AND AIR-CONDITIONING (HVAC) SYSTEM MODELING TECHNIQUE
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Date
2023
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National Society of Environmental Science and Engineering (SNSIM)
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Abstract
This study provides a review of the System Modeling Technique, Heating, Ventilation, and Air-Conditioning (HVAC) system. HVAC is the major consumer of building energy consumption. Some of the factors that contribute to high energy usage include poor management of the temperature set-point, air infiltration, window type, window-wall ratio, and internal heat loss or gain. According to research, the proper management of HVAC systems operation can result in 25% energy savings while maintaining a comfortable indoor atmosphere. A review paper addressing these problems could offer a thorough understanding of the modeling approaches now utilized in HVAC systems. However, ineffective HVAC system design and operation can lead to excessive energy usage. Through a comprehensive literature review. This study identified that; the control system and optimization parameters of an HVAC system play a significant role in how effectively it operates. Instead of upgrading HVAC equipment with newer, more energy-efficient technology, it is much more affordable and sustainable to enhance the control algorithms. As a result, an extensive understanding of the role, application, benefits, drawbacks, and consequences of various modeling methodologies used in HVAC systems is required for the selection and design of an acceptable model. Furthermore, this study examines the benefits and a disadvantage of various modeling methodologies, as well as the flaws of several existing studies/developed models, culminating in recommendations based on a comprehensive literature assessment. The study discovered that each modeling technique has both good and negative elements to consider when selecting a technique for model development by comparing three basic modeling strategies based on performance criteria. © (2023), (Procedia Environmental Science). All rights reserved.
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Keywords
HVAC, modeling technique, review, system
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Q4
Source
Procedia Environmental Science, Engineering and Management
Volume
10
Issue
3
Start Page
359
End Page
379