Abstract
An enclosed environment which is designed to offer the occupants with a pleasant temperature for the body and good air quality should be built. Computational fluid dynamics (CFD) technique is being used in this study by determine the locations of air supply and return diffuser, using the various air parameters such as the air velocity and temperature. A three-dimensional room model for Obstetrics & Gynecology (O&G) Emergency Department (ED) waiting area, Hospital Tunku Azizah was created in CFD for this study. The purpose of this research is to evaluate the air flow pattern inside the room using the original supply and return air diffuser configuration. This research also aim to investigate the cooling air distribution and the effect of the thermal changes inside the room using the current Cubic Feet per Minute (CFM) reading taken at supply and return diffuser for the room. The placement of the supply and return air diffuser as well as the amount of circulated air is an important factor in the design of the room, as it affects human comfort conditions and thus staff and patient's health and staff performance. Further, the study showed various supply and return air configurations were tested and it was found the maximum advantage was achieved by a certain configuration of supply and return air which it is allowing the improvement of air quality for the room. The ideal comes from the large number of air supply inlets, a feature that would not be implemented through building a design. Even in an optimum comfort air conditioner, the optimal thermal conditions around the occupant can be, with a variety of air supply inlets at appropriate locations. In overall, all the 4 new designs have been compared with the original design. The results indicated that New Design 4 shows the best result among the others where New Design 4 did not showed any of increasing of temperature and the reading is 22.99 oC. Results for velocity distribution also showed the highest velocity air distribution and most of the area covered with range from 0 m/s to 0.65 m/s.
Metadata
Item Type: | Thesis (Masters) |
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Creators: | Creators Email / ID Num. Anuar, Muhammad Aliff 2019457532 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohamad, Mohd Faizal (Dr.) UNSPECIFIED |
Subjects: | R Medicine > R Medicine (General) > Biomedical engineering R Medicine > R Medicine (General) > Computer applications to medicine. Medical informatics R Medicine > R Medicine (General) > Neural Networks (Computer). Artificial intelligence |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering |
Programme: | Master of Science (Mechanical Engineering) – EM 703 |
Keywords: | CFD, Simulation, Hospital |
Date: | April 2021 |
URI: | https://ir.uitm.edu.my/id/eprint/46694 |
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