本文以空氣清淨機之縮小模型,並將其擺放於不同位置,再將此模型以軟體繪製並進行數值模擬,且以靠近地面之擾動速度的高低來判斷空氣清淨的效能,結果發現當裝置擺放於中間且靠右之位置時之擾動速度最快,清淨範圍也較大。另外,本研究利用多通路熱交換器設計概念,使清淨機具有迷宮式的流向,藉此讓空氣於清淨機內能多次流過清淨裝置進行清淨,以達到更佳的清淨效果。且本研究分別針對懸浮微粒、揮發性有機物(VOCs)與生物性污染物三種室內空氣常見的污染物,使用不同機制去除,並探討其去除效果。其結果使用影像判斷懸浮微粒去除效能,並發現負離子對於去除懸浮微粒的效果最佳,且去除時間較濾網縮短2.5~5倍,而負離子含量越大,移除效能越好;使用氣體感測器判斷揮發性有機污染物移除效能,並發現光觸媒反應對於去除揮發性有機污染物有最佳的效果;使用254 nm紫外光作為去除生物性污染物的機制時,可達到100%的殺菌效率,效果明顯優於其他去除機制。
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.