跳到主要內容

臺灣博碩士論文加值系統

(35.175.191.36) 您好!臺灣時間:2021/07/31 00:40
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳祈帆
研究生(外文):Chi-Fan Chen
論文名稱:利用逆方法預測潔淨室內汙染源之研究
論文名稱(外文):Prediction of indoor pollutant source with the probability-based inverse method
指導教授:胡石政
口試委員:曹志明施陽正
口試日期:2012-06-19
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:能源與冷凍空調工程系碩士班
學門:工程學門
學類:其他工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:64
中文關鍵詞:逆方法潔淨室汙染源偵測
外文關鍵詞:Inverse methodsclean roomsources of pollution detection
相關次數:
  • 被引用被引用:1
  • 點閱點閱:197
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
一般潔淨室中對於汙染源的預測大多採取由已知點釋放汙染物(實驗或計算),再觀察汙染源擴散的情況的方式來瞭解汙染物在潔淨室中的行為。在真實運轉中的潔淨室,通常我們只能觀測到結果,而無法得悉汙染物由何處而來,若擬求解此類工程問題一般採取「逆方法」運算求解。本研究採用「以機率法為基礎」的計算流體力學逆方法運用於估算一座三維潔淨室內的汙染源,並比對原先採取正向計算的結果。
結果顯示汙染物的擴散主要賴以潔淨室氣流的走向,當將氣流場反轉時,根據氣流循環汙染物向上擴散時容易在集中單側循環;透過加權機率模式來計算,其最高機率的位置確實與預設汙染源之位置一致。當增加偵測點數量時,偵測點數量較少的機率容易產生計算誤差,而偵測點數量較多時,其機率趨於穩定。針對釋放方式的改變,可以知道其結果並不會影響到預測汙染源之位置,但由於偵測點讀值的關係,其疊合之最高機率較為降低。


The studies of pollutant dispersions and their spreading behaviors in a cleanroom, experimentally or numerically, are generally investigated based on the artificial emission sources. Detections of spreading pollutants in an operating cleanroom can be easily achieved using the respective indoor air quality monitoring systems but vice versa for the source identification. The identification of pollutant source is possible with the use of inverse numerical method. This study proposes a probability-based inverse method coupling with computational fluid dynamics (CFD) method, aiming to predict the pollutant source in an operating cleanroom with unilateral recirculation airflow field and compares the results with those obtained using the simulation model with an artificial source.

The diffusion of pollutants from an artificial source is mainly relies on the airflow fields in the cleanroom. For the proposed probability-based inverse method, with the airflow field in the reversed direction, the CFD results showed the aggregation of pollutants in the unilateral airflow field. By assessing the proposed probability weighting model, the location with the highest probability is found consistent with the default location of the artificial pollution sources. The results also showed that the increase of sensor detection points helps minimizing the calculation errors in the assessment of the proposed probability weighting function, and vice versa. Besides that, the varying methods of pollutant emitted has no significant effect on the identification of pollutant source but the calculation results based on the proposed probability weighting function are relatively lower.


摘要 ............................................i
ABSTRACT ............................................ii
誌 謝 ............................................iii
目錄 ............................................iv
表目錄 ............................................vi
圖目錄 ............................................vii
第一章 緒論........................................1
1.1 前言........................................1
1.2 潔淨室之汙染源..............................1
1.3 氣態分子汙染物之影響........................4
1.4 文獻回顧....................................5
1.5 研究目的....................................7
第二章 理論與數值模式..............................9
2.1 研究方法....................................9
2.1.1 「以機率法為基礎」的逆運算法概念............9
2.1.2 「機率法」逆運算法數學模式..................11
2.2 基本假設....................................15
2.3 統御方程式..................................15
2.3.1 流場統御方程式..............................15
2.3.2 紊流模式....................................17
2.4 數值方法....................................18
2.4.1 離散化方法..................................18
2.4.2 演算法......................................21
2.5 收斂條件....................................24
第三章 數值模擬....................................25
3.1 幾何圖型及邊界條件..........................25
3.1.1 潔淨室外型..................................25
3.1.2 邊界條件....................................27
3.2 離散化方法與鬆弛因子........................29
3.3 格點獨立測試................................30
3.4 時間獨立測試................................33
第四章 結果與討論..................................35
4.1 逆向推算模式對於潔淨室內的汙染源機率分析....35
4.1.1 正向流場解的建立............................35
4.1.2 逆方法計算..................................40
4.2 偵測點數量對於推估汙染源機率之影響..........46
4.3 對於不同施放方式的汙染源與機率之比較........54
第五章 結論........................................61
5.1 總結........................................61
參考文獻 ............................................62
符號彙編 ............................................64


[1]W. C. Hinds, “Aerosol technology”, Second Edition,1999.
[2]T. F. Zhang, Q. Y. Chen, “Identification of contamination source in enclosed environment by inverse CFD method”, Indoor Air, Vol.1 , Issue 3, pp.167-177, 2007.
[3]X. Liu, Z. Zhai, “Location identification for indoor instantaneous point contaminant source by probability-based inverse Computational Fluid Dynamics modeling”, Indoor Air, Vol.18, pp.2–11,2008
[4]R. M. Neupauer, J. L. Wilson, “Adjoint method for obtaining back-in-time location and travel time probabilities of a conservative ground-water system”, Water Resource Research, Vol. 35, No.11, pp. 3389-3398,1999.
[5]Xiaoping Zhang, Zengqiang Chen, “ Inverse calculation approaches for source determination in hazardous chemical releases”, Journal of Loss Prevention in the Process Industries Vol.24, pp.293-301,2011
[6]X. Liu, Z. Zhai, “ Inverse modeling methods for indoor airborne pollutant tracking
literature review and fundamentals”, Indoor Air, Vol.17, pp.419-438,2007
[7]Zhiqiang Zhai, Xiang Liu, “Principles and Applications of Probability-Based Inverse Modeling Method”, Build Simulation,Vol.1, pp. 64-71,2008
[8]Xiang Liu, Zhiqiang Zhai, “Prompt tracking of indoor airborne contaminant source location with probability-based inverse multi-zone modeling”, Building and Environment, Vol.44, pp. 1135-1143,2009
[9]M. Bady, S. Kato, H. Huang, “Application of Inverse CFD Modeling to Identify Pollution Source Locations in Urban Areas”日本建築学会大会学術講演梗概集,pp.937-938,2008
[10]周政隆、黃正吉、曹志明、陳祈帆、胡石政“利用逆方法預測潔淨室內之污染源” 台積電新工處季刊,2012
[11]FLUENT 6 User’s Guide, FLUENT Inc., 2003.

[12]W. P. Jones, B. E. Launder, “The prediction of laminarization with a two-equation model of turbulence”, Int. J. Heat Mass Transfer, Vol. 15, pp. 301-314.,1972
[13]J. O. Hinze, Turbulence, McGraw-Hill Publishing Co, New York, 1975.
[14]S. V. Patankar, D. B. Spalding, “A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows”, Int. J. Heat Mass Transfer, Vol. 15, pp. 1787-1806.,1972
[15]S. V. Patanker, “A calculation procedure for two-dimensional elliptic situations”, Numer. Heat Transfer, Vol. 4, pp. 409-425.,1981


連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top