Study on Field Experiment of Stack Effect Reduction in Stairwell of Building

Kim, Jung-Yup; Kim, Ji‐Seok; Lee, Su-Gak

doi:10.6110/kjacr.2015.27.9.484

Cited by 2 publications

(1 citation statement)

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“…Recently, the use of sorptive building materials with permanent ventilation and bake-out has increased as a method to decrease the concentration of pollutants in an indoor environment. From among these building materials, sorptive building materials have several advantages: their use not only helps to reduce the amount of energy consumed while operating ventilation equipment but also helps to decrease the concentration of indoor pollutants and this approach does not require the use of any special equipment [1][2][3][4][5]. In this study, through a computational fluid dynamics (CFD) analysis, we evaluate the extent to which sorptive building materials applied to building walls decrease the concentration of toluene emitted from the flooring.…”

Section: Introductionmentioning

confidence: 99%

Application of Sorptive Building Materials Reducing Indoor Air Pollution for Improving Indoor Air Quality

Seo

Park

Lee

2015

AMM

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In order to improve indoor air quality, the interest in and the use of sorptive building materials that decrease the concentration of an indoor air pollutant have increased. The use of sorptive building materials is one way to decrease the concentration of an indoor pollutant that can adversely affect human health. In this study, we evaluated the effects of sorptive building materials applied to a wall on the decrease in the concentration of toluene emitted from the flooring. We also examined how the air exchange rate of the room, the loading factor of the sorptive materials, and the mass transfer coefficient influenced the sorptive performance; these effects were well reproduced experimentally with computational fluid dynamics (CFD) simulations. The results show that sorptive building materials have a fairly strong effect on the decrease in toluene concentrations in rooms and that this effect can be expected in real-world scenarios.

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Section: Introductionmentioning

confidence: 99%