Browsing by Author "Chukwuma-Uchegbu,M.I."

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Citation Count: 0
REVIEW OF HEATING VENTILATION, AND AIR-CONDITIONING (HVAC) SYSTEM MODELING TECHNIQUE
(National Society of Environmental Science and Engineering (SNSIM), 2023) Chukwuma-Uchegbu,M.I.; Girei,Z.J.B.; Mounir,S.; Abdul-Azeez,A.I.; Maaloufa,Y.M.; Naibi,A.U.; Uwa,J.N.
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.
Citation Count: 0
SMART INDOOR THERMAL COMFORT CONTROL
(National Society of Environmental Science and Engineering (SNSIM), 2023) Uwa,J.N.; Mounir,S.; Girei,Z.J.B.; Aliyu,J.; Naibi,A.U.; Chukwuma-Uchegbu,M.I.
Current research in building performance is giving more attention to strategies to improve HVAC system performance to ensure healthy indoor ventilation and comfort conditioning. An efficient control is required to minimize the energy usage input based on defined occupants’ thermal comfort constraint to achieve this goal. Over the years Smart Home Energy Management System (SHEMs) solutions have been used to control the performance of HVAC systems through advanced control strategies whereby ambient conditions and building energy profiles become an integral part of the system. However, recent investigation reveals most of the SHEMs are based on ambient temperature and humidity constraints which cannot fully reflect precise thermal comfort sensation and result in higher discomfort situations and energy usage. To improve the current approaches the study considered more input parameter constraints including occupancy number, reference comfort level, and electricity price modeled using discrete-time models for the control system. Quadratic cost function design for linear optimal control systems is employed to optimize desired temperature setpoint outputs to maximize thermal comfort and lower the energy consumption cost. To test and evaluate the proposed approach’s performance, a real-time price electricity scheme was used. The result analysis shows the proposed method achieved comfort conditioning with lower energy input and discomfort situations compared to previous approaches. © (2023), (Procedia Environmental Science). All rights reserved.