空調設備為現代生活創造出舒適環境，但當觀點著眼於環保與健康時，自然通風應為較佳之選擇。自然通風分為風力與重力通風兩類，其中前者之機制為外界氣流經過建築物時，於其迎、背面所產生的壓力差，促使建築內部得以進行通風。
本文透過CFD套裝軟體“CFD-ACE+”的使用，就物件擺設對室內流場所帶來的影響進行分析，並對室內物件設定十二種擺設模式；由於噴流、尾流現象以及氣流撞擊，故室內為一紊流場型態，吾人採用K-ε紊流模式進行解析，並以大渦流紊流模式進行驗証。
由“CFD-ACE+”獲得室內無物件下與十二類模式之速度與紊流黏度分佈；以紊流黏度為參考指標，將各個流場進行比對，得知較佳之室內擺設為模式六。針對模式六，改以LES紊流模式進行求解，將所得之速度分佈與K-ε模式對照，以驗証由K-ε模式所得之流場分佈。

Although air conditioning equipment provides comfortable environment for modern life, the natural airing is a better option from the viewpoint of environmental protection and human health. Natural airing can be classified into two categories: wind-driven and stack airing. The mechanism of the wind-driven flow is due to the differential pressure between windward and leeward sides of a building.
In this work, the effects of location of an indoor object on the flow field were studied by using a CFD code “CFD-ACE+”. Twelve cases which correspond to twelve different locations were considered. Composed of jet flow, wake flow and stream collisions, the indoor flow field was essentially turbulent. K-εturbulent model was employed to analyze the indoor flow. Some of the results were compared with that obtained by using the Large Eddy Simulation model.
The velocity and turbulent viscosity distributions were solved for the twelve cases along with a case of no indoor object. Through comparing the turbulent viscosity distributions among different cases, case 6 was found to be a better arrangement. This case was analyzed again by using the Large Eddy Simulation model. The agreement for the velocity profiles between two turbulent models was found to be satisfactory.

摘要.............................................................................................i
Abstract ......................................................................................ii
目 錄........................................................................................iv
表目錄....................................................................................... vi
圖目錄...................................................................................... vii
符號說明...................................................................................xiii
第一章 緒論……………………………………………....................1
1.1 前言…………………………………………………………………..1
1.2 文獻回顧……………………………………………………………..4
1.3 研究目的……………………………………………………………...5
第二章 數學模式與數值方法……………………………………….7
2.1 數學模式……………………………………………………...7
2.1.1 K-ε模式…………………………………………………7
2.1.2 LES模式…………………………………………………9
2.2 數值方法…………………………………………………….11
第三章 研究設定與相關測試……………………………………...15
3.1 研究設定…………………………………………………….15
3.2 相關測試…………………………………………………….26
3.2.1 網格測試……………………………………………….26
3.2.2 時距測試……………………………………………….29
第四章 結果與討論…………………………………………………32
4.1 穩態解分析…………………………………………………33
4.2 暫態解分析…………………………………………………39
4.3 模式評比……………………………………………………66
4.4 驗証…………………………………………………………68
第五章 結論與建議…………………………………………………71
5.1 結論………………………………………………………….71
5.2 建議………………………………………………………….71
參考文獻……………………………………………………………..72
附錄A…………………………………………………………………74
附錄B……………………………………………………………….78
附錄C………………………………………………………………..80
誌謝………………………………………………………………………….94

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