| Summary: | 碩士 === 國立臺北科技大學 === 機電整合研究所 === 97 === In this research, we used a scale-down model of air cleaner, placed it at different locations, and performed numerical simulation to compare the experimental results. We evaluated the performance of air cleaning based on the near ground air flow velocity. We discovered when we placed the device at the location of the middle close to the right side, the air velocity was the highest, and the range of purifying was the widest. In additional, this study utilized the design concept of multi-pass heat exchanger to make the air cleaner cause the maze-like flows, in order to clean the air repeatedly inside the air cleaner to achieve a better purifying performance. Furthermore, we used various removal mechanisms to deal with the three most common indoor air pollutants, suspended particulates, volatile organic compounds (VOCs), and biological pollutants, and analyzed the removal effects. For removing the suspended particulates, anion generation exhibited the best performance, and the required time was 2.5 to 5 times shorter than regular filters. Also, the more anions it generateed, the better the performance was. Also, we used gas sensor to determine the performance on removing VOCs, and we found out that photocatalysis was better in removing VOCs. In the end, by using the 254 nm ultraviolet to remove biological pollutants, it was close 100% effective to eliminate the bacteria, and 254 nm ultraviolet was obviously better than any other removal mechanisms.
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