The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects

碩士 === 國立成功大學 === 建築學系 === 88 === Referred to series of the indoor air quality (IAQ) in architecture environment. This study was concentrated on the effect between CO2 and screen porosities on cooking. Find out that relation between CO2 and screen porosities on cooking. Purpose...

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Main Authors: CHEN CHING-CHAIN, 陳清乾
Other Authors: CHIANG CHE-MING
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/95303943738776326923
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spelling ndltd-TW-088NCKU02220102015-10-13T10:57:07Z http://ndltd.ncl.edu.tw/handle/95303943738776326923 The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects 廚房高氣窗紗網通孔率對二氧化碳濃度場與換氣率之影響─以熱浮力通風為例 CHEN CHING-CHAIN 陳清乾 碩士 國立成功大學 建築學系 88 Referred to series of the indoor air quality (IAQ) in architecture environment. This study was concentrated on the effect between CO2 and screen porosities on cooking. Find out that relation between CO2 and screen porosities on cooking. Purpose 1.Using the method of experiment, find out the relation on screen porosities、CO2 and ACH on buoyancy effect. 2.Using the method of CFD simulations, find out the relation on screen porosities、CO2 and ACH on buoyancy effect. Method 1.Choose the general model in Taiwan and refer to the conclusion of “a study of ventilation in a residential space-numerical simulation of indoor air environment in kitchen” by Chen Chun-Jung. Then building the laboratory to experimenting. 2.Find out the screen porosities relation to CO2 and ACH on buoyancy effect. Conclusion 1.According to the results of the studying cases with CFD simulation, proving the accuracy of the CFD simulation. 2.From the results of the ACH and porosity, this study introduce a new definition of Effective window area is, Effective window area = window area × screen porosity The regress a predict formula of the kitchen ACH, show follow: ΔACH = 3.8094 xε ΔACH:addition Air Exchange Rate(diffuse heat =540kcal/hr),h-1 ε:the porosity of high vent 3.From the results of the porosity and CO2 concentration, this study appears the CO2 gather up near the burner. Due to the screen porosity reduce, the CO2 diffuse to other place. The regress a predict formula of CO2 concentration in this study is, CO2 win=-109.1 ×ε + 908.5 CO2 win: CO2 concentration near the high vent (diffuse heat =540 kcal/hr),ppm ε:the porosity of high vent CHIANG CHE-MING 江哲銘 2000 學位論文 ; thesis 128 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 建築學系 === 88 === Referred to series of the indoor air quality (IAQ) in architecture environment. This study was concentrated on the effect between CO2 and screen porosities on cooking. Find out that relation between CO2 and screen porosities on cooking. Purpose 1.Using the method of experiment, find out the relation on screen porosities、CO2 and ACH on buoyancy effect. 2.Using the method of CFD simulations, find out the relation on screen porosities、CO2 and ACH on buoyancy effect. Method 1.Choose the general model in Taiwan and refer to the conclusion of “a study of ventilation in a residential space-numerical simulation of indoor air environment in kitchen” by Chen Chun-Jung. Then building the laboratory to experimenting. 2.Find out the screen porosities relation to CO2 and ACH on buoyancy effect. Conclusion 1.According to the results of the studying cases with CFD simulation, proving the accuracy of the CFD simulation. 2.From the results of the ACH and porosity, this study introduce a new definition of Effective window area is, Effective window area = window area × screen porosity The regress a predict formula of the kitchen ACH, show follow: ΔACH = 3.8094 xε ΔACH:addition Air Exchange Rate(diffuse heat =540kcal/hr),h-1 ε:the porosity of high vent 3.From the results of the porosity and CO2 concentration, this study appears the CO2 gather up near the burner. Due to the screen porosity reduce, the CO2 diffuse to other place. The regress a predict formula of CO2 concentration in this study is, CO2 win=-109.1 ×ε + 908.5 CO2 win: CO2 concentration near the high vent (diffuse heat =540 kcal/hr),ppm ε:the porosity of high vent
author2 CHIANG CHE-MING
author_facet CHIANG CHE-MING
CHEN CHING-CHAIN
陳清乾
author CHEN CHING-CHAIN
陳清乾
spellingShingle CHEN CHING-CHAIN
陳清乾
The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
author_sort CHEN CHING-CHAIN
title The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
title_short The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
title_full The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
title_fullStr The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
title_full_unstemmed The influence of high vent porosity on CO2 concentration and Air Exchange Rate in kitchen-study on buoyancy effects
title_sort influence of high vent porosity on co2 concentration and air exchange rate in kitchen-study on buoyancy effects
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/95303943738776326923
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